This table lists the benchmark results for the low-res two-view scenario. This benchmark evaluates the Middlebury stereo metrics (for all metrics, smaller is better):

The mask determines whether the metric is evaluated for all pixels with ground truth, or only for pixels which are visible in both images (non-occluded).
The coverage selector allows to limit the table to results for all pixels (dense), or a given minimum fraction of pixels.

Methods with suffix _ROB may participate in the Robust Vision Challenge.

Click one or more dataset result cells or column headers to show visualizations. Most visualizations are only available for training datasets. The visualizations may not work with mobile browsers.




Method Infoalldeliv. area 1ldeliv. area 1sdeliv. area 2ldeliv. area 2sdeliv. area 3ldeliv. area 3select. 1lelect. 1select. 2lelect. 2select. 3lelect. 3sfacade 1sforest 1sforest 2splayg. 1lplayg. 1splayg. 2lplayg. 2splayg. 3lplayg. 3sterra. 1sterra. 2sterra. 1lterra. 1sterra. 2lterra. 2s
sorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
Pointernettwo views0.40
1
0.13
2
0.40
6
0.12
13
0.02
2
0.14
9
0.19
46
0.05
2
0.04
3
0.00
1
0.14
19
0.20
2
0.06
4
0.11
17
1.74
2
1.09
1
0.61
6
0.15
2
0.31
1
0.09
1
0.34
1
2.00
7
0.01
4
0.06
2
0.05
1
0.00
1
2.50
16
0.20
16
CroCo-Stereo Lap2two views0.50
2
0.29
5
0.07
1
0.06
4
0.10
12
0.02
2
0.02
7
0.28
9
0.13
13
0.93
21
0.00
1
0.46
13
0.10
9
0.01
2
1.91
4
2.38
16
0.31
1
0.36
5
0.81
6
0.11
4
1.42
12
2.40
11
0.01
4
0.10
4
0.42
8
0.12
8
0.57
1
0.04
7
RSMtwo views0.51
3
0.26
4
0.46
13
0.11
11
0.05
4
0.12
6
0.01
2
0.05
2
0.10
8
0.00
1
0.00
1
0.19
1
0.10
9
0.00
1
1.67
1
1.58
2
0.58
4
0.44
9
0.44
4
0.75
18
0.98
7
3.35
20
0.12
10
0.13
7
0.49
11
0.23
14
1.53
10
0.03
5
CroCo-Stereocopylefttwo views0.52
4
0.32
7
0.07
1
0.08
5
0.13
14
0.04
3
0.01
2
0.23
8
0.15
15
0.11
10
0.00
1
0.48
14
0.09
8
0.01
2
2.50
10
2.46
17
0.53
2
0.39
7
1.03
8
0.10
2
1.69
15
2.25
9
0.01
4
0.14
9
0.39
6
0.22
11
0.70
4
0.04
7
P.Weinzaepfel, T. Lucas, V. Leroy, Y. Cabon, V. Arora, R. Bregier, G. Csurka, L. Antsfeld, B. Chidlovskii, J. Revaud: CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow. ICCV 2023
StereoVisiontwo views0.57
5
0.58
14
0.24
4
0.08
5
0.08
9
0.14
9
0.05
13
0.29
10
0.27
23
0.50
15
0.00
1
0.29
10
0.05
2
0.04
13
2.28
5
1.93
6
0.86
10
0.21
4
0.75
5
0.13
5
0.87
6
1.45
5
0.00
1
0.13
7
0.40
7
0.23
14
3.41
24
0.15
12
ProNettwo views0.57
5
0.19
3
0.45
11
0.03
2
0.00
1
0.22
19
0.91
104
0.30
11
0.03
1
0.01
8
1.23
43
0.20
2
0.01
1
0.36
38
2.90
16
2.03
8
0.88
12
0.19
3
0.39
2
0.25
7
0.69
2
1.90
6
0.79
41
0.50
25
0.45
10
0.01
2
0.60
3
0.00
1
AIO-Stereopermissivetwo views0.58
7
0.45
10
0.45
11
0.04
3
0.05
4
0.14
9
0.00
1
0.03
1
0.11
11
0.00
1
0.00
1
0.20
2
0.08
6
0.02
7
2.29
6
1.98
7
0.78
9
0.39
7
1.85
17
1.02
27
0.72
3
2.84
15
0.17
11
0.05
1
0.42
8
0.06
5
1.64
11
0.03
5
RSM++two views0.63
8
0.30
6
0.49
14
0.19
17
0.05
4
0.23
20
0.01
2
0.07
6
0.10
8
0.01
8
0.00
1
0.21
6
0.14
13
0.01
2
2.47
8
1.71
3
0.55
3
0.45
10
1.05
9
0.86
23
1.18
10
3.51
22
0.50
27
0.16
11
1.22
24
0.22
11
1.34
8
0.04
7
RAFTtwo views0.64
9
0.12
1
0.41
7
0.09
8
0.02
2
0.21
17
0.15
34
2.71
29
0.06
4
1.08
22
0.00
1
0.24
8
0.05
2
0.10
16
2.66
13
1.83
5
0.58
4
0.08
1
1.37
12
0.32
10
0.82
4
0.73
2
0.00
1
0.22
14
0.31
3
0.06
5
3.04
22
0.01
2
MoCha-V2two views0.67
10
0.56
11
0.50
15
0.02
1
0.08
9
0.13
7
0.01
2
0.05
2
0.03
1
0.00
1
0.00
1
0.23
7
0.25
18
0.01
2
2.66
13
2.68
21
0.61
6
0.37
6
0.39
2
1.47
36
3.12
28
3.53
24
0.00
1
0.06
2
0.50
12
0.21
10
0.59
2
0.02
3
Utwo views0.71
11
0.40
8
0.08
3
0.08
5
0.11
13
0.01
1
0.01
2
0.55
15
0.16
18
0.86
20
0.00
1
0.70
17
0.13
12
0.02
7
2.38
7
2.71
22
0.98
14
0.64
13
1.51
14
0.26
8
1.92
17
2.63
12
0.01
4
0.20
12
1.36
27
0.18
9
1.02
5
0.19
15
IGEV-Stereo++two views0.75
12
0.61
15
0.26
5
0.10
9
0.06
8
0.16
13
0.02
7
0.06
5
0.08
6
0.00
1
0.57
29
0.20
2
0.08
6
0.02
7
2.47
8
2.19
11
0.66
8
0.68
14
2.36
23
0.90
25
1.35
11
3.79
29
0.28
14
0.12
6
0.20
2
0.04
3
2.89
19
0.05
10
RAStereotwo views0.98
13
0.56
11
0.42
8
0.10
9
0.19
16
0.25
24
0.03
10
0.38
12
0.15
15
4.04
56
0.00
1
0.79
18
0.11
11
0.02
7
2.73
15
2.52
18
1.23
15
0.92
20
2.89
28
0.15
6
2.59
24
3.25
18
0.07
8
0.21
13
1.02
19
0.22
11
1.19
6
0.53
20
Occ-Gtwo views1.00
14
1.54
24
0.63
19
0.23
18
0.24
19
0.27
28
0.08
20
0.40
13
0.07
5
0.00
1
0.58
30
0.28
9
0.07
5
0.01
2
4.44
28
3.05
26
0.86
10
0.85
16
1.85
17
0.75
18
2.18
20
4.18
31
0.35
18
0.14
9
0.31
3
0.11
7
3.39
23
0.16
13
AEACVtwo views1.08
15
2.36
37
0.81
28
0.16
14
0.16
15
0.15
12
0.08
20
0.11
7
0.09
7
0.00
1
0.00
1
0.57
16
0.28
19
0.11
17
3.79
24
3.65
37
1.79
22
0.89
19
2.80
27
1.43
35
2.40
23
4.40
34
0.35
18
0.30
17
0.31
3
0.26
20
1.85
13
0.02
3
delettwo views1.13
16
1.39
20
0.97
38
0.34
23
1.00
63
1.13
68
0.41
73
0.98
16
0.21
20
1.21
23
0.44
27
0.86
19
0.44
31
0.80
86
3.65
21
2.11
9
1.55
18
0.86
18
0.87
7
0.55
12
1.77
16
1.44
4
0.57
29
0.88
45
1.13
21
0.23
14
3.76
27
1.07
27
AASNettwo views1.37
17
2.02
28
1.00
41
0.44
29
1.98
104
1.30
74
0.49
77
2.04
23
0.15
15
0.50
15
1.09
40
0.56
15
0.21
16
0.65
66
4.03
25
2.34
15
1.50
16
1.80
41
1.67
16
1.12
30
2.10
19
2.66
13
0.86
49
0.99
49
1.25
25
0.63
29
2.94
20
0.63
21
iRaftStereo_RVCtwo views1.40
18
1.41
21
0.89
35
0.43
27
0.33
29
0.29
31
0.03
10
3.60
35
0.21
20
0.41
13
1.65
58
1.69
24
0.31
22
0.24
27
2.63
12
2.33
14
1.93
26
0.78
15
2.22
21
0.65
14
3.29
30
5.39
49
0.48
26
0.72
35
0.94
18
0.24
17
3.75
26
0.84
22
TDLMtwo views1.48
19
1.86
25
1.68
70
0.63
41
1.31
86
0.91
61
1.05
108
2.32
27
0.68
56
0.38
12
6.18
120
2.45
37
0.84
51
0.88
97
1.83
3
2.14
10
1.89
23
1.30
25
1.09
10
1.05
28
1.05
8
2.29
10
0.81
42
0.48
23
0.50
12
0.25
19
1.97
14
2.12
40
anonymousdsptwo views1.49
20
0.56
11
0.77
23
0.35
24
0.26
21
0.19
16
0.02
7
2.11
25
0.13
13
0.30
11
2.38
66
1.28
23
0.30
21
0.41
44
4.67
29
3.17
28
1.64
20
1.32
26
2.27
22
1.49
37
3.91
36
5.12
41
0.76
37
0.55
29
0.92
17
0.04
3
5.25
40
0.16
13
AANet_RVCtwo views1.52
21
0.70
16
0.67
21
0.26
20
1.74
97
0.11
5
0.69
91
1.92
22
1.46
96
0.83
18
0.25
26
0.43
12
0.96
56
0.21
23
7.30
79
2.86
24
1.51
17
1.32
26
1.39
13
1.27
33
0.83
5
1.15
3
0.25
12
0.59
32
1.73
39
1.40
36
3.95
30
5.16
72
RYNettwo views1.59
22
0.41
9
0.43
9
0.18
16
0.28
23
0.50
44
0.07
18
1.74
19
1.33
88
0.44
14
0.14
19
0.38
11
0.21
16
0.03
11
5.46
42
1.79
4
0.88
12
3.68
90
1.29
11
0.10
2
1.17
9
0.58
1
0.44
25
0.31
20
1.53
32
15.53
166
2.98
21
0.96
24
RAFT + AFFtwo views1.62
23
0.95
19
0.71
22
0.45
31
0.05
4
0.56
45
0.17
42
3.65
36
0.12
12
2.78
40
0.00
1
3.77
51
0.41
29
0.25
28
5.51
46
2.21
13
3.18
34
0.50
11
5.51
43
0.29
9
4.42
50
3.51
22
0.29
15
0.53
28
2.10
42
0.32
21
1.50
9
0.12
11
MaDis-Stereotwo views1.63
24
0.82
18
0.50
15
0.17
15
0.40
33
0.10
4
0.09
23
0.44
14
0.45
35
2.08
32
0.00
1
1.14
20
0.17
14
0.03
11
3.49
19
3.67
38
2.57
31
1.86
42
5.78
49
0.84
22
2.77
26
3.77
28
0.41
21
0.44
22
2.82
57
2.23
54
2.33
15
4.64
69
MMNettwo views1.65
25
1.44
22
0.88
34
0.44
29
1.32
87
0.45
42
0.51
79
2.06
24
0.62
45
0.61
17
1.84
60
1.95
28
0.33
23
1.26
122
4.19
26
2.57
19
2.63
32
2.03
45
3.03
30
1.64
41
2.05
18
2.24
8
0.83
44
1.59
83
1.20
23
0.96
33
4.81
34
1.03
26
UniTT-Stereotwo views1.78
26
0.80
17
0.63
19
0.11
11
0.33
29
0.21
17
0.04
12
2.26
26
0.35
30
4.41
62
0.01
14
2.60
39
0.39
26
0.07
14
5.04
33
4.05
45
2.47
29
1.77
40
6.38
60
0.79
21
4.23
45
3.53
24
0.53
28
0.57
30
1.46
29
1.68
41
1.30
7
1.99
37
test_5two views1.95
27
3.49
64
0.53
17
0.23
18
0.08
9
0.23
20
0.05
13
5.33
52
0.32
29
1.87
29
4.74
94
3.84
52
2.12
108
0.22
24
5.47
45
3.61
36
1.65
21
1.44
29
2.77
26
0.59
13
1.59
14
4.86
38
0.11
9
0.89
47
0.82
16
0.24
17
5.22
39
0.43
19
IGEV-Stereo+two views2.01
28
3.00
49
0.43
9
0.90
63
0.29
25
0.34
38
0.09
23
1.04
17
0.28
24
7.82
103
2.22
65
2.34
35
0.47
33
0.11
17
3.63
20
3.69
39
2.56
30
2.19
48
4.98
38
1.26
32
4.02
39
8.07
113
1.20
89
0.10
4
0.73
14
0.37
24
1.76
12
0.38
18
DMCAtwo views2.02
29
2.22
32
2.01
75
0.50
35
0.93
60
1.27
73
0.19
46
1.78
20
1.50
98
1.85
28
2.97
71
3.06
45
0.35
24
0.78
84
5.18
35
3.53
35
2.90
33
2.60
60
2.19
20
1.25
31
3.12
28
3.48
21
1.07
71
1.34
66
1.04
20
1.42
37
3.89
28
2.11
39
RAFT_CTSACEtwo views2.04
30
4.00
74
0.80
26
0.63
41
0.32
28
0.29
31
0.07
18
5.38
54
0.17
19
8.08
109
0.24
25
3.59
50
1.27
69
0.26
29
3.70
23
2.63
20
1.58
19
0.62
12
2.45
24
0.34
11
2.72
25
6.97
87
0.83
44
0.57
30
1.17
22
0.35
23
5.70
51
0.28
17
MIF-Stereo (partial)two views2.06
31
4.53
102
0.78
24
0.40
25
0.71
52
0.29
31
0.16
39
1.54
18
0.55
39
1.29
24
0.03
17
1.18
21
0.56
37
0.14
20
5.04
33
4.75
65
3.91
46
2.49
58
3.02
29
0.88
24
4.06
41
4.54
36
0.57
29
0.72
35
2.50
47
1.85
44
5.16
37
3.97
57
AFF-stereotwo views2.31
32
2.33
35
1.76
72
0.50
35
0.38
31
1.63
83
0.45
76
5.05
50
0.67
55
2.93
43
0.58
30
2.86
42
0.55
35
0.19
22
5.46
42
3.38
32
1.91
24
1.64
35
6.42
62
0.67
16
4.13
44
4.51
35
0.73
35
0.88
45
3.57
61
2.74
61
4.99
35
1.33
29
plaintwo views2.32
33
4.62
105
0.84
32
0.52
37
1.18
78
0.31
35
0.12
25
3.40
30
0.39
33
4.02
55
0.02
16
1.97
29
0.46
32
0.08
15
5.29
37
4.65
62
3.85
43
2.89
69
5.91
51
0.65
14
4.12
43
5.21
44
0.26
13
0.68
33
2.46
46
1.67
38
2.71
18
4.44
61
CVANet_RVCtwo views2.32
33
3.35
61
2.89
94
3.19
120
1.68
96
2.83
112
1.72
123
4.18
43
1.27
84
0.84
19
8.03
136
3.11
46
0.85
52
1.04
107
2.57
11
2.89
25
1.91
24
1.66
36
1.65
15
1.78
46
2.27
22
3.68
27
0.74
36
0.82
43
1.50
30
0.50
27
2.56
17
3.12
53
MIM_Stereotwo views2.33
35
4.25
86
1.37
60
0.67
47
0.53
36
0.71
52
0.17
42
4.25
47
0.35
30
3.20
47
0.72
37
2.78
41
0.38
25
0.56
56
5.00
32
5.53
94
3.23
35
2.53
59
4.66
35
2.07
59
4.47
51
5.61
55
0.58
31
1.02
51
1.39
28
0.67
30
4.67
33
1.56
31
IGEV-BASED-STEREO-two views2.35
36
2.29
34
0.80
26
0.77
62
0.57
37
0.28
30
0.08
20
4.80
49
0.37
32
7.40
100
0.69
36
2.03
30
1.13
62
0.40
40
3.39
18
4.16
47
3.45
38
2.29
53
5.18
39
1.05
28
6.58
91
7.24
92
0.83
44
0.27
16
1.59
33
0.37
24
4.31
31
1.21
28
RAFT+CT+SAtwo views2.37
37
4.62
105
0.79
25
0.68
49
0.23
18
0.13
7
0.06
17
6.04
61
0.29
25
6.20
82
0.01
14
4.71
63
1.92
95
0.34
37
3.66
22
4.41
55
2.01
27
1.59
34
4.42
34
0.99
26
4.39
49
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95
0.34
17
0.70
34
1.28
26
0.38
26
5.40
50
0.90
23
GANettwo views2.42
38
1.95
26
1.89
74
2.15
104
2.20
112
3.78
125
1.77
124
4.21
44
0.85
61
1.76
27
5.06
108
4.57
61
0.73
43
1.41
134
3.33
17
2.76
23
3.59
41
3.82
92
2.01
19
0.78
20
1.56
13
3.33
19
1.10
77
1.37
69
2.06
41
0.76
31
3.94
29
2.62
50
MGS-Stereotwo views2.56
39
4.77
116
1.09
47
0.60
39
0.46
35
0.26
25
0.16
39
3.40
30
0.31
27
1.32
25
0.56
28
1.25
22
0.64
41
0.69
72
6.72
66
4.23
49
5.87
80
3.78
91
6.51
66
2.02
57
5.30
64
5.45
50
0.83
44
1.60
84
2.17
43
0.90
32
4.65
32
3.57
54
ARAFTtwo views2.62
40
3.89
72
1.00
41
0.43
27
0.25
20
0.33
37
0.05
13
3.52
34
0.31
27
4.81
64
1.57
55
2.23
32
0.41
29
0.69
72
5.73
47
4.43
56
5.21
67
4.32
112
5.36
42
1.64
41
6.06
79
5.64
57
0.72
34
0.51
27
4.37
66
0.32
21
5.33
42
1.69
32
TESTrafttwo views2.77
41
4.56
104
0.81
28
0.55
38
0.27
22
0.23
20
0.16
39
5.54
55
0.39
33
5.52
71
0.23
24
1.81
27
2.25
121
1.13
115
7.43
82
5.23
80
3.63
42
1.19
22
4.75
36
1.60
40
4.10
42
9.80
134
0.42
22
0.81
42
1.50
30
2.68
60
5.79
55
2.34
46
UPFNettwo views2.80
42
2.08
29
2.72
91
1.48
84
2.05
107
2.71
109
1.45
116
4.24
46
1.59
100
2.77
39
2.57
68
2.11
31
0.64
41
1.73
145
6.78
69
3.46
33
4.04
51
3.22
80
5.75
48
3.37
111
2.18
20
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16
1.27
102
1.68
88
2.79
56
2.21
53
5.77
54
1.83
33
raft+_RVCtwo views2.93
43
2.63
41
2.15
76
0.63
41
0.43
34
1.15
69
0.22
50
5.94
60
0.69
57
6.53
86
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70
4.15
55
0.61
39
0.15
21
6.01
52
5.28
84
3.49
39
1.57
33
7.08
75
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44
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33
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47
1.01
64
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37
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63
2.32
57
6.35
67
3.03
51
LL-Strereo2two views3.00
44
2.17
31
1.57
68
0.42
26
0.38
31
0.41
40
0.12
25
7.21
80
0.48
38
11.55
151
1.53
53
3.57
49
0.40
28
1.81
147
4.70
30
5.18
77
4.00
50
1.46
32
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98
1.86
52
4.86
57
6.73
81
0.99
62
0.50
25
1.94
40
1.67
38
5.32
41
1.43
30
TestStereo1two views3.03
45
5.04
128
0.81
28
0.49
32
0.30
26
0.18
14
0.17
42
5.71
58
0.46
36
6.13
78
0.18
21
1.72
25
2.24
117
1.09
110
7.91
90
5.36
87
3.95
48
1.44
29
5.59
44
1.81
48
6.27
84
10.29
142
0.43
23
0.75
38
1.63
35
2.85
62
6.46
69
2.51
48
SA-5Ktwo views3.03
45
5.04
128
0.81
28
0.49
32
0.30
26
0.18
14
0.17
42
5.71
58
0.46
36
6.13
78
0.18
21
1.72
25
2.24
117
1.09
110
7.91
90
5.36
87
3.95
48
1.44
29
5.59
44
1.81
48
6.27
84
10.29
142
0.43
23
0.75
38
1.63
35
2.85
62
6.46
69
2.51
48
test_4two views3.07
47
2.77
44
2.57
88
0.66
44
0.62
42
0.48
43
0.39
70
7.02
76
0.26
22
13.75
175
1.17
42
5.21
70
0.55
35
0.40
40
4.72
31
5.75
99
3.87
44
2.16
46
4.02
33
1.40
34
3.94
38
5.87
61
0.90
53
1.07
52
2.56
54
2.26
55
6.13
63
2.45
47
HCRNettwo views3.09
48
3.26
57
0.86
33
1.50
85
0.28
23
0.43
41
0.62
85
2.61
28
0.10
8
37.69
250
2.67
69
4.83
65
0.20
15
0.41
44
4.41
27
2.20
12
2.07
28
0.85
16
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25
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17
2.99
27
3.22
17
0.65
33
0.75
38
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15
0.54
28
5.19
38
1.00
25
RAFT-Stereo + iAFFtwo views3.21
49
4.03
76
3.24
101
0.74
60
0.70
50
1.68
86
0.51
79
8.26
96
1.48
97
2.78
40
2.02
62
4.95
68
0.63
40
0.22
24
7.74
87
3.30
30
3.31
36
1.24
23
7.45
77
1.82
51
5.00
60
5.60
54
1.02
66
1.31
60
5.88
87
2.65
59
5.98
60
3.05
52
HITNettwo views3.31
50
1.99
27
1.46
62
2.34
107
1.02
64
0.29
31
0.12
25
6.87
73
1.88
110
9.72
122
3.58
78
6.82
83
1.23
67
0.44
50
6.35
62
3.06
27
3.53
40
2.25
51
3.25
31
1.86
52
3.83
35
5.20
43
0.94
57
1.55
81
2.36
45
2.18
52
8.45
93
6.73
89
Vladimir Tankovich, Christian Häne, Yinda Zhang, Adarsh Kowdle, Sean Fanello, Sofien Bouaziz: HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching. CVPR 2021
anonymousdsp2two views3.39
51
4.36
93
2.82
92
0.60
39
0.58
39
1.78
91
0.15
34
6.54
68
0.30
26
4.12
58
4.54
90
4.48
57
0.51
34
1.27
124
5.82
50
4.50
59
3.42
37
2.18
47
11.40
116
2.21
61
4.87
59
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114
0.78
38
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68
3.71
64
1.01
35
6.56
71
3.58
55
CAStwo views3.47
52
4.05
79
0.94
36
1.04
70
0.95
61
0.38
39
0.52
81
1.78
20
0.94
69
2.75
38
6.87
125
2.43
36
3.19
141
0.33
35
6.02
53
3.97
43
5.09
65
2.36
55
6.14
55
1.98
56
4.66
53
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58
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49
0.22
14
6.08
89
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88
7.35
83
11.91
126
IERtwo views3.62
53
3.07
51
1.37
60
1.02
69
1.14
76
1.92
94
0.87
99
4.35
48
1.04
77
2.92
42
8.63
142
10.56
112
1.01
58
2.84
159
6.76
67
4.45
57
4.43
56
2.87
68
3.87
32
3.20
104
3.32
31
4.36
33
1.57
123
1.75
92
2.74
55
6.49
103
5.73
52
5.44
74
GMStereopermissivetwo views3.90
54
4.67
107
0.58
18
0.94
65
0.83
57
1.92
94
0.62
85
9.11
112
0.66
54
2.63
37
0.76
39
13.50
146
0.28
19
0.37
39
5.75
48
4.10
46
7.59
116
1.33
28
14.31
135
2.03
58
5.87
78
4.28
32
0.78
38
1.64
85
5.42
81
4.07
77
9.09
101
2.16
41
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger: Unifying Flow, Stereo and Depth Estimation. TPAMI 2023
Former-RAFT_DAM_RVCtwo views3.91
55
2.41
38
1.55
66
0.71
59
0.64
43
0.24
23
0.14
32
6.57
69
0.89
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6.31
85
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102
4.74
64
1.16
66
0.23
26
8.94
101
4.62
61
5.86
79
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46
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64
4.71
56
7.30
93
0.64
32
0.48
23
5.50
83
14.17
160
3.70
25
8.42
100
CIPLGtwo views3.95
56
4.47
98
1.56
67
1.43
81
1.06
71
1.44
77
0.63
88
9.98
130
1.42
93
6.90
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4.91
104
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88
1.25
68
2.95
164
7.18
75
4.98
70
6.37
86
2.23
49
6.63
70
2.99
101
6.61
92
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78
1.39
107
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101
4.79
72
1.67
38
5.76
53
1.89
34
ACREtwo views3.96
57
4.48
100
1.48
63
1.52
86
1.07
72
1.51
79
0.62
85
9.95
128
1.37
92
7.13
94
4.97
105
7.74
87
1.27
69
2.93
162
7.28
78
5.11
74
6.38
88
2.23
49
6.40
61
2.88
94
6.70
97
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70
1.40
109
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101
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43
5.83
57
1.94
35
IPLGR_Ctwo views3.97
58
4.52
101
1.51
64
1.40
80
1.05
70
1.46
78
0.60
84
9.93
127
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90
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95
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101
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90
1.30
72
3.04
165
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75
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74
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86
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52
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64
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97
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96
6.53
77
1.39
107
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103
4.69
71
1.99
51
5.87
58
1.94
35
4D-IteraStereotwo views3.99
59
1.49
23
3.80
113
0.94
65
0.73
53
0.31
35
0.23
51
8.33
98
0.59
43
13.23
171
1.85
61
5.79
76
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44
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87
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61
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106
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62
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77
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85
1.79
47
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129
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139
1.07
71
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60
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61
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85
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80
2.09
38
RALAANettwo views3.99
59
3.21
54
3.54
107
1.19
74
1.28
85
1.92
94
0.37
67
6.04
61
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85
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63
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89
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48
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85
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30
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93
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63
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64
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133
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101
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125
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90
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96
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98
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121
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75
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73
4.10
59
LoS_RVCtwo views4.04
61
4.37
94
4.60
131
0.32
21
1.04
68
0.26
25
0.38
68
3.48
32
1.12
80
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69
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97
3.01
43
2.65
129
0.40
40
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72
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78
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54
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103
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94
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78
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124
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85
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85
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17
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124
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72
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84
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101
tt_lltwo views4.04
61
4.37
94
4.60
131
0.32
21
1.04
68
0.26
25
0.38
68
3.48
32
1.12
80
5.36
69
4.79
97
3.01
43
2.65
129
0.40
40
6.93
72
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78
4.19
54
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103
8.68
94
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78
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124
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85
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85
0.30
17
9.61
124
3.67
72
7.38
84
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101
UNettwo views4.07
63
3.38
62
3.37
103
1.90
97
2.00
105
2.79
111
1.45
116
7.03
77
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113
5.12
66
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56
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81
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158
5.88
51
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68
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91
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107
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117
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125
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123
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68
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85
rafts_anoytwo views4.10
64
5.28
145
3.46
106
0.76
61
1.07
72
1.36
75
0.65
90
7.75
90
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78
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74
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121
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0.89
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52
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116
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75
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131
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68
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67
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90
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77
RASNettwo views4.13
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66
4.20
127
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87
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103
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110
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96
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94
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133
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73
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36
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51
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59
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102
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116
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HGLStereotwo views4.14
66
2.92
46
3.21
100
1.20
75
2.32
116
2.28
101
1.00
107
4.22
45
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53
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79
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125
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49
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112
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136
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64
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108
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77
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63
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69
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90
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100
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64
3.76
56
SAtwo views4.15
67
4.47
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0.94
36
1.16
72
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77
0.99
65
0.21
49
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109
0.78
59
14.04
178
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21
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83
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137
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72
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52
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115
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60
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116
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58
DMCA-RVCcopylefttwo views4.20
68
2.80
45
2.46
86
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103
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122
1.60
82
3.91
144
4.14
41
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170
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48
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88
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122
1.43
80
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129
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126
4.78
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58
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62
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IPLGtwo views4.24
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77
0.68
49
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75
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80
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111
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107
4.60
121
6.54
67
2.28
65
3.92
37
10.36
145
1.09
76
1.71
89
5.10
76
9.17
119
6.94
75
5.00
71
AnonymousMtwo views4.26
70
2.25
33
0.97
38
1.06
71
0.21
17
1.11
67
0.05
13
6.76
71
0.96
70
7.95
106
4.01
83
3.86
53
0.94
54
0.91
99
7.03
74
6.02
108
7.25
105
3.41
86
6.04
54
2.75
92
8.23
122
7.64
107
1.49
119
1.56
82
1.59
33
5.83
94
10.38
127
14.89
152
GMOStereotwo views4.29
71
3.81
68
1.03
43
1.66
87
1.21
80
0.59
47
0.89
100
8.71
104
0.92
65
14.91
190
0.68
32
6.44
78
1.33
73
0.32
31
5.44
38
6.43
119
5.22
68
3.98
98
8.64
90
2.44
73
5.51
69
10.60
147
0.94
57
1.33
62
7.36
102
3.40
67
9.67
106
2.32
42
error versiontwo views4.29
71
3.81
68
1.03
43
1.66
87
1.21
80
0.59
47
0.89
100
8.71
104
0.92
65
14.91
190
0.68
32
6.44
78
1.33
73
0.32
31
5.44
38
6.43
119
5.22
68
3.98
98
8.64
90
2.44
73
5.51
69
10.60
147
0.94
57
1.33
62
7.36
102
3.40
67
9.67
106
2.32
42
test-vtwo views4.29
71
3.81
68
1.03
43
1.66
87
1.21
80
0.59
47
0.89
100
8.71
104
0.92
65
14.91
190
0.68
32
6.44
78
1.33
73
0.32
31
5.44
38
6.43
119
5.22
68
3.98
98
8.64
90
2.44
73
5.51
69
10.60
147
0.94
57
1.33
62
7.36
102
3.40
67
9.67
106
2.32
42
test-2two views4.29
71
3.81
68
1.03
43
1.66
87
1.21
80
0.59
47
0.89
100
8.71
104
0.92
65
14.91
190
0.68
32
6.44
78
1.33
73
0.32
31
5.44
38
6.43
119
5.22
68
3.98
98
8.64
90
2.44
73
5.51
69
10.60
147
0.94
57
1.33
62
7.36
102
3.40
67
9.67
106
2.32
42
GCAP-BATtwo views4.33
75
4.70
108
1.16
51
0.70
52
0.64
43
0.76
53
0.23
51
7.27
81
0.62
45
10.04
126
1.26
44
10.83
114
0.78
44
0.69
72
6.18
55
6.64
128
17.70
203
2.60
60
7.61
79
2.71
85
9.11
130
7.54
100
1.20
89
1.53
75
2.52
48
1.93
45
5.36
43
4.61
63
test_for_modeltwo views4.33
75
4.70
108
1.16
51
0.70
52
0.64
43
0.76
53
0.23
51
7.27
81
0.62
45
10.04
126
1.26
44
10.83
114
0.78
44
0.69
72
6.18
55
6.64
128
17.70
203
2.60
60
7.61
79
2.71
85
9.11
130
7.54
100
1.20
89
1.53
75
2.52
48
1.93
45
5.36
43
4.61
63
testlalala2two views4.33
75
4.70
108
1.16
51
0.70
52
0.64
43
0.76
53
0.23
51
7.27
81
0.62
45
10.04
126
1.26
44
10.83
114
0.78
44
0.69
72
6.18
55
6.64
128
17.70
203
2.60
60
7.61
79
2.71
85
9.11
130
7.54
100
1.20
89
1.53
75
2.52
48
1.93
45
5.36
43
4.61
63
testlalalatwo views4.33
75
4.70
108
1.16
51
0.70
52
0.64
43
0.76
53
0.23
51
7.27
81
0.62
45
10.04
126
1.26
44
10.83
114
0.78
44
0.69
72
6.18
55
6.64
128
17.70
203
2.60
60
7.61
79
2.71
85
9.11
130
7.54
100
1.20
89
1.53
75
2.52
48
1.93
45
5.36
43
4.61
63
testlalala_basetwo views4.33
75
4.70
108
1.16
51
0.70
52
0.64
43
0.76
53
0.23
51
7.27
81
0.62
45
10.04
126
1.26
44
10.83
114
0.78
44
0.69
72
6.18
55
6.64
128
17.70
203
2.60
60
7.61
79
2.71
85
9.11
130
7.54
100
1.20
89
1.53
75
2.52
48
1.93
45
5.36
43
4.61
63
SPstereotwo views4.33
75
4.70
108
1.16
51
0.70
52
0.64
43
0.76
53
0.23
51
7.27
81
0.62
45
10.04
126
1.26
44
10.83
114
0.78
44
0.69
72
6.18
55
6.64
128
17.70
203
2.60
60
7.61
79
2.71
85
9.11
130
7.54
100
1.20
89
1.53
75
2.52
48
1.93
45
5.36
43
4.61
63
CASnettwo views4.34
81
5.12
135
1.12
48
0.70
52
0.75
54
0.58
46
0.39
70
9.19
114
1.02
75
15.09
197
2.50
67
13.52
148
1.38
77
0.41
44
9.16
105
3.35
31
3.91
46
1.04
21
12.44
126
1.51
38
7.51
107
5.97
63
0.82
43
0.86
44
4.21
65
0.98
34
7.10
78
6.60
83
Junhong Min, Youngpil Jeon: Confidence Aware Stereo Matching for Realistic Cluttered Scenario. ICIP 2024 submissions (1861)
RALCasStereoNettwo views4.35
82
5.09
133
3.69
110
1.35
79
1.42
90
1.79
92
0.85
98
7.96
93
0.72
58
8.73
115
4.64
93
7.54
85
1.02
59
0.42
47
7.87
89
6.24
114
6.77
95
4.66
123
5.71
47
2.60
82
5.78
76
6.51
74
1.16
83
2.14
113
6.39
95
4.72
84
5.11
36
6.64
85
DISCOtwo views4.36
83
4.01
75
1.58
69
2.04
101
2.19
111
4.90
137
4.07
146
4.05
40
3.87
154
4.97
65
7.45
132
2.57
38
2.23
116
0.71
81
8.10
95
4.26
50
6.68
93
4.39
116
9.03
99
3.53
114
5.04
61
6.00
65
1.61
127
1.80
96
4.55
69
4.87
87
7.21
79
5.94
80
DSFCAtwo views4.41
84
5.06
131
2.31
81
2.64
112
2.59
125
3.16
118
2.35
135
3.92
39
2.51
130
3.14
46
7.17
128
4.92
67
1.14
63
0.69
72
7.44
83
4.94
69
4.99
63
4.67
124
8.79
96
3.42
113
5.56
74
7.57
106
2.39
153
3.16
139
5.18
77
5.44
90
6.17
65
7.69
94
raftrobusttwo views4.53
85
2.11
30
3.77
111
1.33
78
1.02
64
0.62
51
0.25
59
9.42
117
0.85
61
13.22
170
5.80
112
5.79
76
1.11
61
0.66
69
8.99
104
6.78
135
5.54
76
2.99
74
8.41
89
2.41
71
6.19
80
7.10
89
1.60
125
1.01
50
7.62
110
5.85
95
6.40
68
5.41
73
ADLNettwo views4.78
86
5.77
155
2.55
87
2.37
108
3.09
135
3.37
120
1.44
115
6.29
65
1.76
106
3.10
45
5.98
116
17.05
173
2.19
113
10.10
213
7.71
86
4.04
44
4.84
61
3.52
87
5.20
40
2.98
100
3.49
32
6.41
72
1.30
103
1.42
71
5.26
78
7.50
110
5.92
59
4.42
60
Sa-1000two views4.82
87
4.54
103
0.97
38
0.94
65
1.41
89
1.16
70
0.26
60
9.36
115
1.31
85
13.81
176
0.74
38
5.59
72
1.86
94
1.82
148
9.30
109
5.32
85
8.02
119
3.82
92
10.50
108
1.93
55
6.62
94
9.47
128
0.40
20
2.13
112
8.51
117
5.62
92
10.31
126
4.46
62
CREStereo++_RVCtwo views4.82
87
4.71
114
4.82
137
1.18
73
1.67
95
0.27
28
0.24
58
7.01
75
1.31
85
8.33
110
3.27
72
8.81
100
7.68
184
0.57
57
8.23
96
5.43
91
8.62
129
1.76
39
6.14
55
1.75
45
6.38
88
5.54
52
1.24
99
1.09
53
5.69
84
7.05
105
10.78
133
10.46
114
Junpeng Jing, Jiankun Li, Pengfei Xiong, Jiangyu Liu, Shuaicheng Liu, Yichen Guo, Xin Deng, Mai Xu, Lai Jiang, Leonid Sigal: Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching. ICCV2023
FINETtwo views4.84
89
2.73
43
2.91
95
3.55
127
1.54
91
1.77
89
1.63
121
3.80
38
4.30
162
4.15
59
4.26
87
4.84
66
3.87
150
1.56
139
19.30
209
7.15
143
5.60
77
2.00
44
10.33
106
2.91
95
6.25
83
6.56
79
0.88
51
2.29
117
5.74
85
7.34
106
7.02
77
6.37
82
CFNettwo views4.85
90
4.04
78
2.27
80
4.54
134
2.60
126
2.45
105
1.39
114
6.79
72
0.96
70
4.30
61
4.87
103
17.29
176
3.33
143
0.57
57
7.60
84
3.46
33
4.61
59
2.99
74
5.89
50
2.60
82
4.70
55
4.05
30
0.99
62
1.30
59
9.51
122
8.10
111
9.05
100
10.68
118
test-3two views5.18
91
3.23
55
4.10
124
1.86
95
1.86
98
1.70
87
0.74
94
9.64
123
0.56
40
10.91
143
1.64
57
16.57
169
1.14
63
0.60
62
10.11
117
5.95
105
7.17
104
3.29
82
14.55
137
2.22
63
6.62
94
11.30
162
1.03
67
1.91
103
5.35
80
2.94
64
7.28
81
5.55
76
test_1two views5.18
91
3.23
55
4.10
124
1.86
95
1.87
99
1.70
87
0.74
94
9.64
123
0.56
40
11.01
145
1.60
56
16.58
170
1.15
65
0.60
62
10.10
116
5.94
104
7.11
102
3.28
81
14.57
139
2.21
61
6.61
92
11.28
161
1.01
64
1.91
103
5.33
79
2.95
65
7.33
82
5.53
75
CREStereotwo views5.18
91
5.10
134
4.33
129
1.45
82
0.57
37
0.91
61
0.13
29
9.54
120
2.07
120
10.04
126
4.11
85
12.15
129
2.80
136
0.84
92
6.88
71
6.63
127
9.31
137
1.68
38
6.15
57
2.54
80
8.14
119
5.90
62
1.37
105
1.48
73
6.90
100
7.45
108
9.76
111
11.65
125
Jiankun Li, Peisen Wang, Pengfei Xiong, Tao Cai, Ziwei Yan, Lei Yang, Jiangyu Liu, Haoqiang Fan, Shuaicheng Liu: Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation. CVPR 2022
trnettwo views5.26
94
5.12
135
4.24
128
1.46
83
0.60
40
0.89
60
0.15
34
9.63
122
1.95
115
12.27
156
4.05
84
12.85
139
2.76
135
0.83
91
6.68
65
6.45
123
8.87
133
1.86
42
5.95
52
2.39
70
7.66
111
5.85
60
1.26
100
1.50
74
6.93
101
7.40
107
10.21
120
12.09
128
iResNet_ROBtwo views5.34
95
4.86
120
3.99
122
2.90
115
1.66
94
2.83
112
2.34
133
7.80
91
1.45
95
6.14
80
7.77
135
4.52
58
9.57
187
0.92
100
7.42
81
5.40
90
7.37
110
4.91
129
11.52
117
3.30
109
5.49
68
3.56
26
1.45
115
4.26
159
8.06
114
5.94
96
9.61
103
9.22
109
PDISCO_ROBtwo views5.41
96
3.28
58
2.38
82
2.89
114
2.24
114
1.67
85
2.19
128
5.28
51
2.32
123
2.53
36
5.17
109
5.18
69
2.10
103
1.79
146
8.46
99
7.12
141
6.44
89
10.68
202
6.43
63
4.63
130
8.67
128
9.64
132
1.48
118
2.61
129
7.46
107
6.84
104
17.41
181
9.17
108
EGLCR-Stereotwo views5.43
97
4.87
121
4.77
135
0.67
47
0.97
62
3.61
123
0.12
25
8.74
108
1.78
107
8.91
116
3.52
76
9.05
104
2.47
126
1.04
107
5.46
42
5.76
100
6.73
94
4.23
111
8.81
97
2.36
69
9.21
137
10.88
154
1.15
82
1.66
87
6.38
94
4.86
86
14.90
167
13.73
144
TestStereotwo views5.43
97
5.18
139
3.77
111
2.21
105
0.70
50
3.59
122
0.14
32
12.22
165
0.62
45
21.12
223
2.16
64
12.22
131
1.59
86
0.33
35
6.76
67
3.22
29
6.87
99
1.26
24
14.41
136
1.92
54
12.12
172
5.00
40
0.93
55
0.92
48
6.36
93
3.76
74
10.42
130
6.72
87
PMTNettwo views5.47
99
4.92
124
4.80
136
0.91
64
1.08
74
0.92
63
0.27
61
6.90
74
2.00
118
9.81
124
3.41
74
11.69
123
0.99
57
0.82
89
10.91
133
6.28
115
8.36
124
1.66
36
11.00
111
1.53
39
8.61
127
5.62
56
1.37
105
0.36
21
9.64
127
9.34
120
9.77
113
14.79
151
iinet-ftwo views5.53
100
4.11
81
2.38
82
2.32
106
0.76
55
4.74
133
1.51
118
3.77
37
1.00
73
5.76
74
15.94
206
7.90
92
3.29
142
0.55
54
10.32
119
6.53
124
6.17
85
3.17
79
19.31
169
5.24
135
7.25
103
8.85
122
1.77
135
1.86
97
6.64
98
2.26
55
9.26
102
6.72
87
GLC_STEREOtwo views5.61
101
5.42
150
4.07
123
1.90
97
2.18
110
0.86
59
0.39
70
9.53
119
0.84
60
13.27
172
6.70
123
8.87
101
1.55
84
2.01
150
6.04
54
5.11
74
12.60
177
2.32
54
9.56
101
2.99
101
17.88
213
9.98
138
0.92
54
1.34
66
4.45
67
1.79
42
13.27
156
5.66
78
test_3two views5.64
102
3.29
59
3.97
121
1.97
100
1.90
100
1.64
84
0.72
93
10.37
139
0.59
43
15.61
202
1.14
41
20.54
189
1.27
69
0.55
54
9.94
114
5.85
101
7.42
111
3.91
96
14.64
140
2.30
66
6.70
97
12.93
192
0.93
55
1.77
93
5.86
86
4.36
80
7.52
87
4.70
70
MIPNettwo views5.83
103
5.26
143
2.99
97
0.98
68
1.56
92
1.98
97
1.61
119
9.96
129
1.11
79
5.14
67
5.05
107
12.09
125
3.90
151
0.84
92
8.96
103
6.11
111
8.51
126
5.12
135
10.61
109
4.34
123
3.77
34
10.93
155
1.45
115
2.36
121
9.84
130
14.56
161
7.87
91
10.59
116
DN-CSS_ROBtwo views5.84
104
3.98
73
4.89
141
2.48
109
3.06
131
0.98
64
0.50
78
10.91
148
1.70
105
10.36
137
11.91
177
14.40
156
4.86
162
0.59
61
9.97
115
3.88
40
7.49
115
3.54
88
15.42
147
2.91
95
8.10
118
5.59
53
1.49
119
5.32
177
6.22
91
3.87
75
7.44
86
5.87
79
LMCR-Stereopermissivemany views5.87
105
4.35
90
3.34
102
1.22
76
2.03
106
3.04
115
0.20
48
7.49
88
2.50
129
6.88
92
4.15
86
10.75
113
0.94
54
0.73
83
9.32
110
5.61
97
10.09
150
4.83
128
17.85
161
6.65
149
9.53
139
9.49
129
1.13
80
2.80
134
5.45
82
5.39
89
10.69
132
11.94
127
BEATNet_4xtwo views5.91
106
3.06
50
2.41
84
3.36
123
2.33
117
1.06
66
0.94
105
8.38
100
3.63
152
16.74
208
3.67
82
9.64
107
3.53
145
1.41
134
11.00
136
6.56
126
7.12
103
6.46
158
6.66
72
2.95
98
9.82
143
11.80
171
1.03
67
3.52
146
4.86
73
5.50
91
11.11
138
10.98
123
CFNet_RVCtwo views6.00
107
5.59
152
4.72
134
5.12
141
4.80
153
4.81
134
1.17
110
6.16
63
2.48
127
5.62
72
10.61
164
7.86
91
1.93
97
1.13
115
13.61
167
4.75
65
5.84
78
4.41
117
7.57
78
3.91
115
7.48
104
6.90
84
1.11
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2.98
136
10.57
140
10.04
126
10.27
125
10.47
115
raft_robusttwo views6.05
108
4.31
89
1.14
49
1.73
92
0.82
56
1.84
93
0.42
74
10.69
146
1.36
90
28.25
238
1.33
50
9.02
102
2.26
122
0.97
104
6.44
64
6.14
112
7.04
101
4.22
109
12.24
122
2.30
66
8.42
126
10.32
144
0.84
48
1.74
90
8.13
115
13.91
158
9.82
114
7.69
94
iResNetv2_ROBtwo views6.05
108
4.28
88
2.23
79
4.71
135
2.24
114
4.86
135
1.33
113
8.64
103
2.39
124
6.18
81
12.61
181
13.59
150
7.05
181
0.58
59
8.09
94
5.25
81
5.39
74
4.22
109
14.95
143
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127
7.49
105
5.69
59
1.68
130
4.14
155
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108
5.95
97
10.01
119
7.68
93
NLCA_NET_v2_RVCtwo views6.09
110
5.63
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4.87
140
3.55
127
8.43
179
3.01
114
12.59
200
6.37
66
7.74
182
5.80
76
5.61
111
13.50
146
2.29
123
6.72
204
14.49
172
3.92
41
4.47
57
3.11
78
6.63
70
2.83
93
4.23
45
5.18
42
1.67
129
1.79
95
4.98
74
9.78
123
6.92
74
8.19
98
Zhibo Rao, Mingyi He, Yuchao Dai, Zhidong Zhu, Bo Li, and Renjie He.: NLCA-Net: A non-local context attention network for stereo matching.
CEStwo views6.28
111
2.98
48
1.77
73
0.69
51
1.40
88
1.43
76
0.36
66
30.80
228
1.60
101
6.30
84
13.83
197
8.43
98
1.96
98
0.53
53
7.21
77
7.08
140
8.18
123
3.02
76
6.70
73
2.59
81
24.93
238
6.37
70
1.82
140
0.76
41
7.71
112
3.66
71
7.57
88
9.83
110
STTStereotwo views6.30
112
6.79
166
6.89
169
3.54
126
6.06
163
3.21
119
9.84
186
5.37
53
4.19
158
4.07
57
7.03
127
10.49
111
4.26
157
6.44
202
17.35
196
4.35
52
5.12
66
5.75
147
6.22
58
2.51
77
5.54
73
5.22
45
1.81
139
1.74
90
6.74
99
8.41
115
7.91
92
13.24
137
CFNet_pseudotwo views6.35
113
3.64
67
3.95
118
6.22
153
3.40
137
6.22
149
0.43
75
10.30
135
1.26
83
14.45
184
11.60
175
8.35
96
6.66
176
2.77
157
10.34
120
5.88
102
5.35
73
4.10
106
9.06
100
3.33
110
4.66
53
5.47
51
1.57
123
2.11
109
7.49
109
8.20
113
11.50
140
13.20
136
AF-Nettwo views6.36
114
4.98
126
3.95
118
5.13
142
6.64
169
7.67
160
6.90
167
7.20
78
7.09
177
2.02
30
9.17
146
12.89
140
2.94
137
3.10
166
10.82
130
4.38
53
4.13
52
2.95
72
8.19
87
3.20
104
4.38
47
6.51
74
2.71
165
2.64
130
6.46
96
10.20
127
15.42
169
9.93
111
Nwc_Nettwo views6.36
114
4.98
126
3.95
118
5.13
142
6.64
169
7.67
160
6.90
167
7.20
78
7.09
177
2.02
30
9.17
146
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140
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137
3.10
166
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130
4.38
53
4.13
52
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72
8.19
87
3.20
104
4.38
47
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74
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165
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130
6.46
96
10.20
127
15.42
169
9.93
111
IPLGRtwo views6.49
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6.27
163
3.85
117
2.83
113
2.07
108
1.18
72
0.63
88
10.23
132
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63
8.03
107
9.43
149
12.25
132
2.59
127
0.81
87
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127
5.27
83
6.78
96
6.46
158
15.92
151
6.23
145
6.23
82
11.42
163
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109
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140
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135
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148
9.76
111
7.94
96
ddtwo views6.86
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5.35
147
1.14
49
24.72
217
0.60
40
12.40
186
0.98
106
8.44
101
0.56
40
7.82
103
0.11
18
26.27
198
0.39
26
1.26
122
8.44
97
5.04
71
16.15
196
2.90
70
20.80
179
2.20
60
5.14
62
4.67
37
1.11
78
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114
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106
2.39
58
10.58
131
6.27
81
FADNet-RVC-Resampletwo views6.87
118
5.38
148
3.18
99
3.36
123
2.87
127
2.67
108
4.17
148
11.61
158
3.51
147
15.21
198
4.97
105
11.31
121
3.14
140
3.26
169
11.75
148
5.35
86
6.94
100
7.39
173
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120
7.21
160
6.35
87
11.21
158
1.76
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8.18
193
7.65
111
8.35
114
5.82
56
10.93
122
AE-Stereotwo views6.96
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4.72
115
4.98
146
5.02
139
1.21
80
1.77
89
2.32
131
9.06
111
0.97
72
14.06
179
1.56
54
16.24
168
2.11
106
1.10
113
10.16
118
7.71
154
10.84
157
5.95
150
12.72
127
6.14
144
10.28
150
12.68
187
1.26
100
5.31
176
11.02
142
8.15
112
11.85
145
8.84
106
GEStwo views6.96
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5.77
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2.99
97
2.54
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2.99
128
6.21
148
2.68
139
7.46
87
3.09
141
9.09
119
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134
5.22
71
1.78
90
3.52
176
15.09
176
8.28
162
12.16
174
6.94
165
21.59
183
7.17
158
10.61
153
8.53
117
2.06
146
4.39
164
5.89
88
4.58
82
8.71
94
10.80
119
AACVNettwo views7.03
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4.44
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2.21
78
7.10
161
8.39
177
6.28
150
2.48
137
9.12
113
2.53
132
10.11
134
10.84
169
8.45
99
2.24
117
1.83
149
10.51
124
6.02
108
8.86
131
6.36
157
11.83
119
5.92
141
7.14
101
7.48
97
2.74
167
3.92
154
9.06
118
9.86
124
10.24
121
13.93
149
sCroCo_RVCtwo views7.03
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3.31
60
1.19
57
0.49
32
1.02
64
3.09
116
0.58
83
9.79
126
3.54
148
6.01
77
3.52
76
4.54
59
5.12
163
1.02
106
10.98
134
13.72
225
12.36
176
8.89
185
18.51
165
6.56
148
17.09
205
15.71
214
0.78
38
2.57
128
9.80
128
7.46
109
13.51
160
8.78
104
sAnonymous2two views7.06
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3.11
52
1.22
58
0.66
44
0.90
58
3.81
126
0.28
62
13.71
178
3.56
149
3.78
51
6.09
117
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74
4.01
152
0.43
48
10.38
121
10.81
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11.06
160
9.65
191
19.93
173
7.58
167
11.77
167
13.75
201
1.89
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2.01
106
11.14
144
10.75
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10.41
128
12.21
129
CroCo_RVCtwo views7.06
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3.11
52
1.22
58
0.66
44
0.90
58
3.81
126
0.28
62
13.71
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3.56
149
3.78
51
6.09
117
5.62
74
4.01
152
0.43
48
10.38
121
10.81
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11.06
160
9.65
191
19.93
173
7.58
167
11.77
167
13.75
201
1.89
142
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106
11.14
144
10.75
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10.41
128
12.21
129
HSMtwo views7.17
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4.72
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4.35
147
2.09
98
1.92
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13.26
175
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9.97
125
10.55
161
9.39
106
4.41
158
1.59
141
13.06
161
5.37
89
11.25
166
4.34
114
10.38
107
4.80
132
11.09
159
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83
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158
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11.75
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11.65
143
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135
DLCB_ROBtwo views7.17
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5.13
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4.67
133
2.90
115
4.14
143
3.73
124
3.59
143
6.60
70
3.96
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8.05
108
9.83
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12.27
134
5.87
170
3.15
168
9.36
111
5.48
92
7.47
112
4.61
122
6.02
53
4.01
118
7.50
106
7.06
88
2.96
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3.69
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27.73
220
12.61
146
12.96
153
8.37
99
DeepPrunerFtwo views7.20
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2.93
96
5.72
149
14.85
208
4.99
138
6.76
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6.37
66
5.88
173
3.01
44
10.81
168
3.32
47
2.11
106
2.56
154
11.43
143
8.50
165
7.27
106
4.44
118
12.31
124
4.64
131
7.59
109
7.83
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3.44
175
3.02
137
22.93
211
11.60
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6.95
76
8.18
97
FADNet-RVCtwo views7.21
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5.12
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2.88
93
5.40
144
3.71
138
2.30
102
6.27
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12.00
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2.03
119
11.39
148
5.22
110
13.63
151
3.74
149
1.67
144
17.93
202
5.91
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6.82
97
4.04
103
19.54
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5.81
139
7.11
100
7.81
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1.17
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5.65
180
8.17
116
10.78
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7.75
89
10.91
121
APVNettwo views7.34
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4.37
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2.67
90
4.05
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5.06
159
8.50
166
6.14
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10.48
143
3.12
142
3.69
50
11.27
174
5.59
72
1.65
88
1.59
141
11.84
149
10.24
184
12.82
178
9.20
186
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7.00
155
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116
9.81
135
1.74
133
4.94
171
9.17
119
4.54
81
15.67
172
9.05
107
R-Stereo Traintwo views7.50
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5.21
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4.96
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4.81
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1.90
100
5.37
140
0.13
29
10.31
136
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13.06
163
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13.07
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2.12
108
0.65
66
10.76
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8.91
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11.09
162
5.40
140
15.52
148
4.08
119
11.16
161
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1.07
71
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99
12.73
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98
13.40
139
RAFT-Stereopermissivetwo views7.50
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5.21
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4.81
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1.90
100
5.37
140
0.13
29
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136
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0.65
66
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11.09
162
5.40
140
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148
4.08
119
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161
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167
1.07
71
1.89
99
12.73
155
13.26
152
8.91
98
13.40
139
Lahav Lipson, Zachary Teed, and Jia Deng: RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching. 3DV
NVstereo2Dtwo views7.57
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4.27
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3.58
108
6.26
154
4.59
150
14.21
193
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209
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95
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54
7.02
126
6.79
82
1.38
77
28.21
242
11.18
138
7.52
150
8.44
125
6.94
165
6.28
59
2.96
99
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75
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46
7.02
209
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162
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147
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101
6.71
72
6.62
84
s12784htwo views7.59
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8.38
169
4.49
149
1.55
80
0.35
65
9.51
118
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114
10.78
142
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95
15.84
165
6.65
175
0.67
71
6.82
70
5.52
93
9.19
136
2.47
57
11.23
113
1.81
48
10.85
156
6.41
72
1.14
81
1.87
98
11.47
146
15.68
167
16.61
179
26.90
199
MyStereo04two views7.63
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6.01
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3.45
125
2.51
123
2.22
99
0.55
82
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145
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136
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75
14.93
159
1.59
86
0.51
51
10.99
135
7.85
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7.34
108
6.13
155
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158
7.12
156
10.52
152
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2.18
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16.28
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10.07
113
psm_uptwo views7.69
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8.44
165
2.34
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10.50
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6.59
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8.07
94
6.02
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163
13.42
163
6.02
108
8.60
128
4.73
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6.19
80
6.32
68
1.08
75
6.12
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185
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147
10.87
120
TANstereotwo views7.85
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90
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2.90
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3.06
131
4.17
129
0.15
34
5.61
56
1.79
108
6.80
89
3.66
80
2.23
32
2.72
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4.32
182
11.69
146
13.36
221
11.04
158
18.99
235
22.41
186
18.43
227
7.67
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98
29.22
247
1.29
57
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35
6.05
98
10.26
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90
XX-TBDtwo views7.85
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4.35
90
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3.06
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4.17
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0.15
34
5.61
56
1.79
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6.80
89
3.66
80
2.23
32
2.72
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4.32
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11.69
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13.36
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11.04
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18.99
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18.43
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7.67
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29.22
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57
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35
6.05
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DeepPruner_ROBtwo views7.92
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3.51
65
6.37
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5.46
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6.07
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7.31
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RPtwo views7.93
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13.63
195
12.80
137
6.09
173
3.46
174
11.66
144
5.26
82
6.64
92
3.37
84
9.96
105
4.25
122
6.38
88
7.77
108
1.80
137
4.27
160
10.35
138
11.04
134
11.90
146
13.70
143
ICVPtwo views8.04
140
4.82
118
9.27
185
5.44
145
4.90
155
5.99
146
1.98
126
8.28
97
4.21
160
7.84
105
8.12
137
9.78
108
6.78
178
1.50
137
10.42
123
7.29
144
7.86
117
5.56
144
11.37
115
5.74
138
7.64
110
14.44
205
16.54
231
5.47
178
9.55
123
12.28
144
11.11
138
12.84
132
Kwon, Oh-Hun and Zell, Eduard: Image-Coupled Volume Propagation for Stereo Matching. 2023 IEEE International Conference on Image Processing (ICIP)
UCFNet_RVCtwo views8.04
140
11.14
198
4.13
126
8.72
170
6.57
168
5.93
145
2.30
130
9.62
121
2.95
138
10.66
141
9.52
151
24.39
194
4.14
154
0.97
104
13.73
168
4.54
60
5.28
72
5.09
133
9.79
103
4.53
128
8.08
117
6.63
80
3.12
170
3.67
151
16.44
183
11.59
136
9.65
104
13.88
147
ADCP+two views8.05
142
5.92
158
6.93
170
3.99
130
4.43
148
6.34
151
8.71
177
9.37
116
15.43
209
4.24
60
12.54
180
16.68
171
1.49
82
3.79
179
10.52
125
5.54
95
6.16
84
4.52
119
13.82
132
3.39
112
7.54
108
8.85
122
2.40
154
2.28
116
7.73
113
20.38
199
8.72
95
15.58
156
Any-RAFTtwo views8.19
143
4.90
123
10.50
192
5.80
150
3.78
139
1.17
71
0.77
97
9.70
125
1.60
101
8.47
111
11.26
173
12.44
135
1.05
60
0.72
82
11.34
142
7.87
157
9.33
138
4.19
108
18.87
166
4.47
126
11.84
169
10.68
151
1.80
137
2.31
118
16.30
181
19.31
188
10.24
121
20.46
175
MSMDNettwo views8.24
144
5.51
151
5.42
155
1.73
92
2.44
120
2.42
104
1.05
108
10.24
133
1.62
104
11.46
149
10.58
162
11.87
124
3.62
147
1.32
128
9.46
112
11.94
208
11.12
164
5.21
136
22.87
191
13.50
212
12.31
174
13.05
194
2.07
147
2.39
124
11.80
149
8.70
117
13.41
158
15.41
155
cross-rafttwo views8.45
145
5.93
159
5.25
152
3.68
129
2.36
118
3.38
121
0.69
91
12.16
164
1.33
88
13.85
177
9.94
156
14.13
153
1.85
93
1.09
110
9.28
108
10.98
198
10.68
154
4.34
114
22.38
185
8.07
175
12.96
180
15.69
213
2.04
145
2.41
125
13.22
160
12.01
142
13.21
155
15.25
154
PWCDC_ROBbinarytwo views8.48
146
2.68
42
2.41
84
1.77
94
3.89
141
2.60
107
2.20
129
4.15
42
26.51
231
1.67
26
12.67
182
4.07
54
47.63
247
9.37
210
12.01
155
8.35
164
6.47
90
6.66
162
7.34
76
5.97
142
7.86
115
15.14
208
3.30
172
3.52
146
3.04
58
9.40
121
5.37
49
13.03
134
MSKI-zero shottwo views8.49
147
5.05
130
4.89
141
3.10
119
2.11
109
4.14
128
1.62
120
12.73
170
1.98
117
12.06
154
10.21
158
12.11
126
1.84
92
0.58
59
11.33
141
10.25
186
10.71
155
4.33
113
20.93
180
7.77
169
11.15
160
12.31
180
1.31
104
3.34
144
10.19
134
19.55
191
15.45
171
18.28
165
HHtwo views8.59
148
2.53
39
11.01
196
3.34
121
3.05
129
5.63
143
4.30
149
11.08
150
2.44
125
12.80
160
4.81
99
12.13
127
2.10
103
1.40
132
9.16
105
11.22
200
9.54
139
6.11
153
16.75
155
8.03
173
14.78
194
12.23
176
2.46
156
2.33
119
9.97
132
16.05
172
14.04
163
22.72
186
HanStereotwo views8.59
148
2.53
39
11.01
196
3.34
121
3.05
129
5.63
143
4.30
149
11.08
150
2.44
125
12.80
160
4.81
99
12.13
127
2.10
103
1.40
132
9.16
105
11.22
200
9.54
139
6.11
153
16.75
155
8.03
173
14.78
194
12.23
176
2.46
156
2.33
119
9.97
132
16.05
172
14.04
163
22.72
186
RAFT-Testtwo views8.62
150
5.23
142
5.19
151
5.60
148
2.38
119
2.23
100
1.27
112
11.26
153
1.60
101
12.29
157
11.92
178
12.55
136
2.32
124
1.21
120
9.80
113
11.74
207
10.82
156
5.07
132
22.12
184
9.72
190
12.92
178
12.48
181
2.07
147
2.43
126
13.00
158
15.69
168
13.59
161
16.21
158
XX-Stereotwo views8.88
151
2.94
47
4.34
130
7.37
164
1.20
79
6.54
154
2.32
131
12.63
169
1.03
76
11.47
150
9.68
153
13.58
149
2.14
111
0.95
101
11.94
153
11.04
199
9.63
141
5.48
142
14.82
141
6.02
143
9.17
136
8.79
121
1.54
122
1.11
54
33.29
231
11.65
138
12.59
150
26.46
197
FADNettwo views8.90
152
6.06
161
3.45
105
5.86
152
3.92
142
4.58
131
8.86
180
16.32
194
3.05
140
15.60
201
13.11
185
14.34
155
5.46
169
2.10
152
16.01
184
5.56
96
5.92
82
5.93
149
24.14
193
6.27
146
10.29
151
8.68
118
1.06
70
2.89
135
13.92
166
13.78
156
9.65
104
13.41
141
EAI-Stereotwo views9.00
153
5.32
146
5.61
158
5.46
146
5.04
158
7.34
158
7.45
171
12.95
171
3.41
146
10.50
139
9.99
157
13.44
145
1.92
95
1.38
129
14.88
175
11.30
202
9.83
145
4.93
130
18.90
167
9.69
189
9.61
140
11.55
164
1.72
132
3.08
138
12.74
157
12.56
145
13.29
157
19.20
168
test-1two views9.03
154
2.34
36
5.48
156
2.04
101
2.44
120
10.36
177
2.08
127
15.78
192
2.11
122
13.20
169
7.46
133
12.90
142
3.07
139
0.60
62
11.90
151
9.29
173
10.31
152
7.42
174
24.63
195
7.50
164
11.56
166
15.65
212
1.41
112
2.69
132
14.50
173
14.96
163
12.27
148
19.94
172
MLCVtwo views9.18
155
4.79
117
5.80
161
12.16
185
5.39
160
9.92
173
3.94
145
14.83
188
3.29
145
9.44
121
12.83
184
17.57
179
13.01
198
0.82
89
12.00
154
5.07
73
9.75
143
5.71
145
21.28
182
4.42
124
7.71
114
9.82
136
2.57
163
6.81
188
11.89
151
12.02
143
11.53
141
13.38
138
ADCReftwo views9.21
156
6.62
164
5.04
147
2.49
110
4.72
152
8.63
167
8.06
173
8.92
110
13.94
203
6.83
91
10.59
163
12.26
133
3.73
148
3.37
171
12.78
157
8.01
160
8.86
131
7.48
175
18.21
163
6.77
152
10.68
155
12.08
173
5.00
189
4.61
167
10.99
141
17.90
183
9.87
115
20.28
174
LoStwo views9.22
157
4.15
82
1.51
64
1.26
77
1.58
93
3.09
116
0.29
64
49.58
255
2.48
127
25.58
232
30.53
245
14.96
160
2.40
125
0.84
92
6.37
63
7.85
155
8.05
120
3.37
84
11.27
114
2.42
72
10.92
157
8.42
116
1.84
141
1.42
71
14.88
175
9.13
118
9.71
110
14.97
153
Kunhong Li, Longguang Wang, Ye Zhang, Kaiwen Xue, Shunbo Zhou, Yulan Guo: LoS: Local Structure-guided Stereo Matching.
pcwnet_v2two views9.22
157
4.09
80
5.68
159
9.03
172
4.96
156
8.36
164
3.46
142
10.42
140
4.10
156
13.66
174
13.37
189
10.34
110
21.62
208
5.84
196
12.78
157
6.94
138
8.55
127
5.29
139
11.60
118
3.98
116
7.19
102
6.78
82
2.56
162
4.15
157
14.74
174
13.08
149
14.04
163
22.34
184
SACVNettwo views9.25
159
6.26
162
5.53
157
7.03
160
6.84
171
6.20
147
8.12
174
11.27
154
8.92
189
10.91
143
8.15
138
8.41
97
2.65
129
2.75
156
13.58
166
7.59
151
10.24
151
7.84
179
15.65
150
9.54
188
12.27
173
10.56
146
2.52
159
5.28
175
18.56
189
13.47
154
15.80
174
13.78
145
gcap-zeroshottwo views9.36
160
4.03
76
9.94
189
7.02
159
2.55
124
6.68
155
2.60
138
12.40
166
1.56
99
15.01
195
10.71
167
15.63
163
2.08
102
0.85
96
10.87
132
11.68
205
9.82
144
5.83
148
31.35
205
12.27
207
11.52
165
13.14
195
2.55
161
2.78
133
9.18
120
15.85
170
10.96
134
13.81
146
GEStereo_RVCtwo views9.38
161
7.49
172
3.61
109
5.83
151
4.98
157
7.52
159
5.21
156
11.13
152
3.60
151
10.48
138
5.85
113
15.81
164
4.52
160
2.84
159
11.24
139
10.88
196
14.69
188
12.38
216
24.24
194
8.74
180
12.65
176
12.15
174
1.78
136
6.26
184
10.48
139
9.69
122
9.94
118
19.29
169
model_zeroshottwo views9.43
162
4.23
85
4.93
143
4.35
133
3.08
134
2.45
105
1.71
122
12.03
162
2.95
138
11.36
147
8.95
144
17.30
177
1.66
89
1.39
131
14.50
174
11.72
206
13.74
184
6.22
156
29.83
200
11.39
203
11.30
164
12.00
172
1.46
117
3.27
143
15.73
177
13.53
155
10.96
134
22.62
185
TRStereotwo views9.50
163
9.74
191
13.57
214
6.35
156
2.21
113
16.94
203
4.76
153
10.01
131
1.95
115
10.50
139
4.54
90
15.40
162
1.81
91
1.08
109
8.95
102
9.64
176
8.83
130
4.56
120
12.28
123
5.16
134
10.66
154
11.26
159
1.44
114
1.65
86
13.46
162
17.64
180
30.07
214
21.92
183
PS-NSSStwo views9.53
164
10.85
194
3.42
104
20.57
208
6.39
166
13.64
191
8.78
178
14.91
189
1.44
94
18.52
214
1.47
51
43.44
216
5.25
165
3.94
180
13.34
162
3.95
42
5.88
81
3.64
89
20.70
178
3.12
103
4.04
40
2.71
14
3.73
180
1.41
70
10.29
136
8.47
116
8.88
97
14.63
150
SGM-Foresttwo views9.58
165
9.29
189
2.59
89
18.35
203
10.02
187
10.70
180
3.35
141
12.48
167
1.90
112
8.92
117
3.64
79
18.20
182
12.28
196
4.54
188
11.29
140
6.82
136
6.82
97
3.29
82
9.93
104
4.19
121
9.26
138
7.88
111
3.40
174
4.38
163
17.36
187
11.77
140
25.82
207
20.12
173
Johannes L. Schönberger, Sudipta Sinha, Marc Pollefeys: Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching. ECCV 2018
anonymitytwo views9.69
166
3.42
63
11.95
201
6.50
157
3.80
140
4.68
132
2.46
136
13.17
174
3.19
144
12.79
159
27.19
235
11.08
120
2.02
99
1.10
113
8.44
97
10.04
180
9.02
134
3.91
96
16.89
157
8.67
179
9.70
141
11.18
157
2.09
149
2.18
115
16.33
182
23.14
211
12.42
149
24.15
190
GANet-ADLtwo views9.77
167
7.48
171
5.69
160
7.53
165
7.28
173
9.31
170
4.57
151
10.78
147
5.64
168
13.06
163
9.66
152
18.66
184
4.43
159
0.84
92
13.53
164
7.96
158
12.00
172
5.53
143
18.08
162
10.92
199
9.92
144
9.70
133
3.19
171
4.74
169
11.66
148
17.16
177
15.68
173
18.72
166
stereogantwo views9.97
168
9.24
187
9.97
191
11.26
181
12.09
199
12.75
189
9.38
181
11.49
155
8.73
186
5.18
68
9.50
150
16.98
172
10.28
193
3.55
177
13.55
165
7.07
139
7.48
114
5.25
138
14.56
138
7.53
165
8.25
123
9.50
130
4.08
183
4.66
168
9.61
124
11.90
141
21.32
195
13.91
148
RTSCtwo views10.02
169
4.84
119
4.82
137
4.31
132
5.78
162
6.86
156
6.87
166
10.31
136
10.00
192
6.68
88
13.62
194
7.51
84
6.94
179
3.58
178
17.58
200
10.72
189
14.95
190
7.27
171
20.14
175
6.98
154
12.67
177
12.29
178
2.01
144
6.59
185
9.83
129
12.75
147
14.09
166
30.59
206
EKT-Stereotwo views10.24
170
7.17
169
5.94
163
9.87
176
4.82
154
9.94
174
10.43
188
10.27
134
2.51
130
10.11
134
10.21
158
14.40
156
2.06
101
1.15
118
14.49
172
10.68
188
12.93
179
10.86
205
20.47
176
7.18
159
19.38
220
14.00
203
1.22
96
2.48
127
19.15
193
19.25
187
13.14
154
12.25
131
IGEV_Zeroshot_testtwo views10.39
171
4.22
84
14.36
218
14.50
194
4.31
146
6.95
157
8.83
179
13.16
173
3.13
143
13.18
168
13.93
198
14.20
154
2.65
129
0.95
101
8.66
100
10.81
192
10.38
153
4.82
127
17.18
160
8.58
177
11.86
170
12.19
175
1.50
121
3.55
149
21.75
207
13.80
157
19.90
189
21.23
178
iRaft-Stereo_20wtwo views10.52
172
5.40
149
14.19
217
15.57
197
4.67
151
9.36
171
4.99
155
11.92
160
4.20
159
12.51
158
12.15
179
14.02
152
2.22
115
1.14
117
13.75
169
9.27
172
9.96
148
3.84
95
15.03
144
8.58
177
9.95
145
9.06
126
1.69
131
2.11
109
19.10
192
22.07
208
22.92
202
24.44
191
CASStwo views10.73
173
5.87
157
5.97
164
8.12
166
6.34
165
9.02
169
6.35
162
16.40
195
5.53
167
20.86
222
10.39
160
14.47
158
4.23
155
1.16
119
11.87
150
7.32
146
16.52
198
5.98
151
25.49
196
7.14
157
13.18
181
12.71
189
2.69
164
3.17
140
18.22
188
11.13
135
17.78
184
21.80
182
Junhong Min, Youngpil Jeon: Confidence-Aware Symmetric Stereo Matching via U-Net Transformer.
PA-Nettwo views10.74
174
17.75
215
13.56
213
5.06
140
12.17
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5.23
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12.43
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14.04
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10.66
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7.41
101
6.64
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9.33
105
9.18
186
9.74
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15.66
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7.13
142
3.90
45
7.06
168
8.16
86
7.29
161
5.38
65
11.79
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2.49
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5.94
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12.26
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27.67
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8.77
96
33.34
211
Zhibo Rao, Mingyi He, Yuchao Dai, Zhelun Shen: Patch Attention Network with Generative Adversarial Model for Semi-Supervised Binocular Disparity Prediction.
NCCL2two views10.74
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9.59
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6.76
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6.43
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5.59
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4.75
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13.04
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8.38
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4.62
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3.39
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17.27
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9.74
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9.72
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7.84
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13.20
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7.46
163
14.25
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5.13
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8.69
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20.35
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19.66
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15.21
168
20.93
176
NCC-stereotwo views10.84
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8.80
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7.84
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9.74
174
10.76
190
10.04
175
11.26
192
10.43
141
14.60
207
2.40
34
13.57
190
15.95
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13.25
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4.39
185
15.11
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6.42
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14.26
133
6.76
150
8.14
119
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6.71
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16.50
159
Abc-Nettwo views10.84
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7.84
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9.74
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10.76
190
10.04
175
11.26
192
10.43
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2.40
34
13.57
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15.95
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13.25
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4.39
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6.42
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6.76
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16.50
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Xing Li, Yangyu Fan, Guoyun Lv, and Haoyue Ma: Area-based Correlation and Non-local Attention Network for Stereo Matching. The Visual Computer
UDGNettwo views10.85
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23.46
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0.60
38
43.69
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7.41
80
4.45
57
7.91
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5.71
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10.66
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5.56
136
9.99
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9.03
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1.22
55
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105
HSM-Net_RVCpermissivetwo views10.99
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5.68
154
6.96
171
13.05
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8.42
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8.83
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2.82
140
12.04
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4.83
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14.66
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13.23
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25.14
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13.35
201
1.41
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11.11
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6.65
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9.95
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6.02
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12.90
128
5.69
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9.96
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11.57
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3.51
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8.44
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17.30
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20.20
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21.94
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21.03
177
Gengshan Yang, Joshua Manela, Michael Happold, and Deva Ramanan: Hierarchical Deep Stereo Matching on High-resolution Images. CVPR 2019
ADCLtwo views11.20
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7.45
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7.13
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5.61
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10.57
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11.51
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14.73
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18.99
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5.42
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12.38
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8.19
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9.91
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6.67
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16.60
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15.04
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13.33
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13.67
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15.23
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12.82
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19.33
170
FCDSN-DCtwo views11.81
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10.42
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13.65
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1.83
59
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114
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13.26
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9.03
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14.11
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142
13.60
142
Dominik Hirner, Friedrich Fraundorfer: FCDSN-DC: An accurate but lightweight end-to-end trainable neural network for stereo estimation with depth completion.
Anonymous3two views12.15
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3.81
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1.91
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3.26
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7.97
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14.34
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12.89
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20.94
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2.99
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3.21
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16.10
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16.33
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18.37
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12.93
133
AIO-Stereo-zeroshotpermissivetwo views12.21
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4.97
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12.97
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13.74
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4.19
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16.13
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7.49
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199
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3.41
144
0.79
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9.27
185
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1.42
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4.79
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19.32
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26.37
223
13.46
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31.33
208
XPNet_ROBtwo views12.48
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6.97
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9.86
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64
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49.07
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4.23
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179
GwcNet-ADLtwo views12.69
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16.89
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PSMNet-ADLtwo views13.18
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2.74
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6.47
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25.66
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6.24
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11.48
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NaN_ROBtwo views13.22
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10.81
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16.63
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6.49
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9.21
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46.75
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4.38
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12.98
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6.19
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7.35
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12.32
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7.56
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6.33
86
7.37
94
3.36
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10.15
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22.69
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22.30
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20.88
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32.16
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NOSS_ROBtwo views13.23
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9.97
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5.36
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11.47
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10.86
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7.28
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21.14
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10.08
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21.59
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RGCtwo views13.27
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7.33
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21.47
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iResNettwo views13.33
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6.72
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7.48
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9.76
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11.68
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36.69
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37.19
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0.95
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16.61
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8.34
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11.49
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8.45
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31.04
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9.60
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2.42
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13.74
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FADNet_RVCtwo views13.70
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6.43
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5.90
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6.32
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18.73
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13.59
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21.15
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20.13
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7.50
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11.51
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35.21
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14.13
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18.69
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2.34
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8.32
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11.12
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20.05
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10.97
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19.38
171
AIO-Stereo-zeroshot1permissivetwo views13.82
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7.14
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14.40
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11.74
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9.49
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23.27
215
13.40
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13.46
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8.86
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17.03
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13.57
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17.89
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3.59
146
0.62
65
15.96
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13.33
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13.48
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8.18
182
42.92
230
6.54
147
11.22
163
11.11
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1.40
109
3.65
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20.48
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24.39
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15.83
175
30.30
205
dadtwo views14.07
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1.70
71
31.65
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8.54
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17.15
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21.46
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25.28
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2.10
121
24.23
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1.51
52
36.94
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12.78
197
2.09
151
11.90
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6.54
125
22.40
229
4.01
102
33.72
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2.72
91
14.06
187
6.32
68
2.33
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5.21
174
13.95
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3.92
76
33.70
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25.88
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DAStwo views14.90
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5.16
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9.49
182
12.52
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9.72
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16.64
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7.17
96
16.64
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37.52
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15.30
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1.30
126
16.26
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10.05
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20.90
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14.87
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3.55
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20.90
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20.85
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30.20
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SepStereotwo views14.90
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7.70
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5.16
149
15.37
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9.49
182
12.52
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9.72
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16.64
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13.95
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7.17
96
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37.52
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15.30
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1.30
126
16.26
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10.05
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22.54
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14.87
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3.55
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13.38
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20.90
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20.85
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30.20
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HBP-ISPtwo views15.08
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22.72
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15.79
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16.09
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20.56
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5.45
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10.93
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2.05
100
19.43
231
13.01
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14.30
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14.55
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9.51
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12.16
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10.20
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18.96
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5.09
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21.39
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23.31
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23.91
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ccs_robtwo views15.71
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14.77
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8.22
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22.42
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9.73
186
23.59
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17.92
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14.54
185
5.46
166
14.67
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24.69
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56.39
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32.25
222
5.64
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15.15
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10.61
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11.72
170
9.45
188
19.64
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12.49
208
14.57
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12.62
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5.10
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5.97
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13.05
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12.67
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17.67
164
CBMV_ROBtwo views16.48
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10.52
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22.32
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18.15
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16.88
202
12.33
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19.84
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5.83
171
14.47
185
9.10
145
31.92
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17.53
205
10.73
215
16.02
185
8.77
168
15.25
191
7.67
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20.51
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21.26
234
14.94
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9.21
127
6.03
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23.75
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28.89
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30.48
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33.65
212
ETE_ROBtwo views16.60
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7.42
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10.97
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17.03
204
9.51
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11.06
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11.19
146
17.78
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57.81
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6.77
177
6.21
200
20.49
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10.24
184
23.40
234
10.02
193
21.21
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11.00
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16.98
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5.38
198
8.15
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15.78
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21.22
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43.28
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25.95
194
LALA_ROBtwo views16.61
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18.43
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10.96
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10.40
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10.33
189
17.80
206
10.94
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16.53
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13.59
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59.11
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7.57
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5.41
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24.28
234
9.37
174
19.78
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14.06
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18.39
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10.36
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16.38
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17.19
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4.90
186
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13.24
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35.04
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26.35
196
CBMVpermissivetwo views16.66
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16.54
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12.27
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13.79
192
6.01
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21.66
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19.38
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7.29
130
28.55
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9.90
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12.75
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15.83
194
12.31
214
17.04
159
9.92
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17.90
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4.52
185
16.69
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24.51
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22.50
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39.61
233
45.97
233
Konstantinos Batsos, Changjiang Cai, Philippos Mordohai: CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation. Computer Vision and Pattern Recognition (CVPR) 2018
SFCPSMtwo views17.05
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13.10
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35.38
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39.07
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6.35
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17.13
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10.09
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13.20
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9.20
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36.54
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20.91
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14.61
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14.62
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6.76
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20.24
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21.28
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17.06
180
25.86
192
RTStwo views17.41
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8.32
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7.65
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22.53
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11.77
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7.25
98
10.63
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17.12
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10.07
190
6.01
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20.43
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13.33
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21.22
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10.77
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38.12
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18.28
225
17.65
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15.57
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4.97
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10.75
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28.24
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31.93
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26.28
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53.85
246
RTSAtwo views17.41
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7.60
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7.53
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8.32
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7.65
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22.53
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11.77
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20.32
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7.25
98
10.63
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17.12
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10.07
190
6.01
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20.43
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13.33
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21.22
225
10.77
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38.12
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18.28
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17.65
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15.57
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4.97
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10.75
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28.24
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31.93
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26.28
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53.85
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SHDtwo views17.57
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10.79
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23.38
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16.64
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19.69
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32.35
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6.98
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19.81
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13.41
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17.63
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10.40
196
34.99
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13.11
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17.69
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16.32
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4.32
184
11.73
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21.48
206
24.08
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21.64
196
43.78
227
FC-DCNNcopylefttwo views17.73
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26.13
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7.35
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6.75
124
19.38
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5.32
166
11.46
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15.84
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21.02
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14.33
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19.07
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24.11
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AnyNet_C32two views18.17
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10.50
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9.86
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24.55
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15.10
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24.19
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17.27
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31.38
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12.16
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27.02
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9.09
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18.64
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17.72
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27.38
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pmcnntwo views18.34
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18.76
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33.00
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1.60
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15.32
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12.25
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17.72
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11.15
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33.70
213
14.16
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19.45
221
14.43
204
10.31
216
11.78
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21.26
204
19.57
192
41.66
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47.20
235
FC-DCNN v2copylefttwo views18.38
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20.76
224
18.46
232
31.88
222
20.53
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27.97
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25.39
228
27.48
223
7.90
184
19.67
220
7.26
129
20.08
187
6.97
180
11.54
218
16.57
189
15.76
234
21.00
223
14.15
221
19.36
170
10.47
195
19.79
225
12.66
186
5.02
191
17.55
223
27.84
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18.84
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25.31
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26.19
195
GANetREF_RVCpermissivetwo views18.55
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14.14
208
17.17
227
13.20
190
11.24
196
13.49
190
11.55
195
33.66
231
20.90
219
27.62
237
6.10
119
50.38
227
26.73
214
3.29
170
18.41
205
7.61
152
12.32
175
10.64
201
31.95
210
11.31
202
19.81
226
10.87
153
9.13
213
18.81
226
24.23
214
15.91
171
29.65
213
30.80
207
Zhang, Feihu and Prisacariu, Victor and Yang, Ruigang and Torr, Philip HS: GA-Net: Guided Aggregation Net for End- to-end Stereo Matching. CVPR 2019
PWC_ROBbinarytwo views18.92
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12.47
203
13.15
209
8.76
171
13.18
203
11.26
183
18.27
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17.73
200
31.35
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8.62
114
18.63
216
21.69
190
54.39
255
6.82
205
17.19
194
10.78
190
23.78
236
13.40
218
38.59
225
15.51
219
20.53
228
17.67
222
3.63
179
16.55
218
15.80
179
15.50
165
19.83
188
45.69
232
MaskLacGwcNet_RVCtwo views19.53
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10.87
195
13.46
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21.28
210
13.56
206
17.86
207
22.33
223
14.75
187
9.40
191
11.86
153
20.17
221
78.28
267
25.50
212
20.77
234
14.13
171
10.97
197
26.00
238
16.62
228
33.78
215
12.07
205
17.87
212
15.22
209
6.23
202
9.15
199
20.44
197
20.43
201
17.81
185
26.53
198
ADCMidtwo views19.62
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13.14
204
12.70
204
11.92
184
14.54
207
18.75
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15.92
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26.87
222
26.15
229
12.83
162
15.65
204
36.43
207
24.17
211
8.43
209
22.66
227
12.85
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21.77
228
12.28
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39.07
228
13.51
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22.76
234
21.52
236
12.68
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11.16
205
23.95
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23.27
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20.64
190
34.18
213
ADCPNettwo views20.43
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13.90
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12.28
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15.74
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17.72
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16.04
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16.93
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23.61
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18.44
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29.99
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10.22
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22.34
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15.17
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19.72
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11.65
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35.00
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22.56
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21.32
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11.10
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17.10
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25.92
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31.12
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25.85
208
36.11
214
CSANtwo views21.28
215
25.93
228
18.78
233
19.86
207
17.32
212
15.03
195
10.51
189
25.97
220
29.48
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33.96
246
14.14
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50.64
228
27.74
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5.17
191
21.75
222
8.76
167
14.11
185
12.05
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22.82
190
16.84
223
16.21
200
12.61
183
6.52
204
17.91
225
28.80
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29.63
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34.70
224
37.24
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MDST_ROBtwo views21.72
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32.34
238
11.84
200
47.88
240
25.72
227
40.53
234
20.27
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19.03
201
13.21
200
16.27
204
11.02
171
29.36
202
39.35
237
2.30
153
19.77
211
7.38
147
11.30
168
4.69
125
16.39
153
7.96
171
13.74
186
8.94
124
6.81
208
10.22
202
42.52
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34.16
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53.23
249
40.29
218
CC-Net-ROBtwo views22.08
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37.39
244
18.42
230
54.08
243
42.24
242
44.20
239
33.29
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28.75
226
6.94
176
35.53
247
9.92
155
67.83
256
7.19
182
17.81
228
16.99
192
4.17
48
11.26
167
9.49
189
39.61
229
7.96
171
7.08
99
5.32
48
12.54
223
3.51
145
18.56
189
14.64
162
13.82
162
27.72
201
MFN_U_SF_DS_RVCtwo views22.95
218
20.90
225
11.55
199
29.26
219
18.96
216
23.36
216
19.38
218
38.11
242
24.66
227
31.91
243
14.96
201
46.43
221
35.87
230
15.73
227
23.09
230
11.55
204
11.18
165
7.96
181
34.33
216
9.44
186
17.18
206
18.30
226
15.56
229
14.07
215
32.27
229
28.33
226
33.38
222
31.85
209
DDUNettwo views23.05
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29.77
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12.69
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44.85
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38.69
240
45.17
242
46.85
244
11.53
156
13.03
198
8.95
118
18.91
219
22.04
191
5.20
164
90.90
260
19.35
210
12.53
211
20.39
219
10.22
195
30.58
203
11.85
204
18.90
217
17.81
223
19.71
235
6.99
189
14.32
170
17.72
182
16.36
178
17.10
162
SGM_RVCbinarytwo views23.38
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26.36
232
13.77
216
40.24
231
27.35
230
36.85
232
24.98
225
27.67
224
17.34
213
17.93
211
18.78
218
43.62
217
38.79
235
2.91
161
17.39
197
6.83
137
13.64
183
7.15
169
31.82
209
9.02
183
14.53
191
7.23
91
5.31
197
13.15
212
37.65
240
30.48
233
53.04
248
47.36
236
Heiko Hirschmueller: Stereo processing by semiglobal matching and mutual information. TPAMI 2008, Volume 30(2), pp. 328-341
SGM-ForestMtwo views23.47
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26.74
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13.24
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39.14
228
22.57
223
36.42
231
24.99
226
29.06
227
18.00
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14.27
183
20.76
225
50.21
226
32.95
224
4.52
187
20.86
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7.46
148
15.45
192
6.98
167
30.40
202
9.01
182
14.78
194
7.91
112
5.88
200
11.42
206
42.08
244
34.71
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51.07
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42.68
225
FAT-Stereotwo views23.48
222
14.23
209
19.68
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37.30
226
37.38
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28.76
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18.76
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23.69
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13.63
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19.13
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29.03
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35.11
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34.82
228
13.16
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20.86
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13.04
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19.00
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20.04
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35.77
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19.51
229
19.19
219
14.56
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13.68
225
17.26
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20.61
199
21.91
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30.56
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43.35
226
FBW_ROBtwo views23.78
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26.04
229
18.44
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42.85
234
26.85
229
33.38
227
19.93
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15.06
190
12.08
197
14.49
186
16.80
210
44.76
218
29.01
219
20.43
233
18.15
203
7.99
159
19.77
215
11.16
207
51.28
241
7.86
170
16.33
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11.26
159
19.31
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28.05
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21.21
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21.58
206
33.31
221
54.60
248
UDGtwo views24.16
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30.32
237
13.18
210
44.63
235
41.05
241
44.80
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51.49
248
13.27
176
13.18
199
14.08
180
21.60
227
23.38
192
6.33
174
87.67
258
19.21
208
10.82
195
22.67
230
14.89
223
32.39
211
12.70
210
20.59
230
21.10
234
15.54
228
8.67
197
17.20
185
17.91
184
17.60
182
15.92
157
XQCtwo views24.97
225
26.08
230
15.71
224
32.23
223
23.80
225
33.92
228
31.17
232
37.46
239
29.30
233
28.31
239
14.68
200
42.33
214
23.67
210
19.66
232
22.56
226
13.39
223
15.90
195
12.10
212
32.79
212
17.16
224
19.77
224
20.24
232
11.39
219
15.35
216
32.61
230
29.86
232
43.19
239
29.46
202
G-Nettwo views26.81
226
20.73
223
18.95
234
18.62
204
17.00
211
35.95
230
16.25
208
28.36
225
32.13
243
27.09
236
33.69
249
63.17
247
25.97
213
7.24
207
23.36
232
16.51
236
23.38
233
17.63
234
45.27
233
33.88
251
25.90
239
22.07
237
11.55
221
17.39
222
28.09
222
29.38
229
42.51
238
41.89
222
SANettwo views27.38
227
17.79
216
19.79
236
23.71
216
20.56
220
30.81
224
18.53
214
34.53
233
31.31
239
16.71
207
30.20
244
78.17
266
42.30
242
18.09
230
23.87
233
10.78
190
21.57
227
16.37
227
31.56
208
15.93
220
20.09
227
18.85
229
27.75
246
19.29
230
33.99
232
30.68
234
36.64
230
49.31
237
ADCStwo views27.83
228
19.32
218
16.30
225
21.69
211
20.88
221
23.37
217
19.06
217
36.40
235
32.90
247
16.10
203
26.03
234
45.89
219
37.16
232
13.98
222
26.44
237
20.10
241
30.79
241
22.29
240
49.05
239
28.13
242
37.79
250
31.88
251
13.94
226
21.91
235
30.44
228
33.99
244
31.39
218
44.25
228
DLNR_Zeroshot_testpermissivetwo views28.00
229
81.83
274
12.85
205
100.00
286
1.02
64
2.33
103
99.01
286
12.59
168
1.00
73
13.13
167
5.89
114
12.81
138
2.24
117
24.07
239
96.86
286
100.00
290
33.19
243
28.64
248
28.87
199
5.88
140
13.67
185
12.70
188
1.19
87
4.14
155
14.30
169
10.34
129
18.43
187
18.93
167
S-Stereotwo views28.49
230
17.37
214
15.43
223
40.83
232
38.64
239
40.62
235
37.78
236
22.77
211
22.83
224
17.31
210
45.47
254
53.22
230
36.27
231
14.79
225
22.10
223
14.06
227
19.83
217
25.83
246
38.63
226
24.70
236
18.21
215
19.97
231
54.41
256
21.98
236
20.99
202
19.86
196
23.90
205
41.45
220
MeshStereopermissivetwo views29.29
231
28.48
235
17.50
228
49.31
242
37.64
237
38.86
233
26.38
229
34.68
234
25.28
228
22.00
226
22.68
228
54.80
231
48.74
248
5.16
190
20.51
218
13.21
217
18.28
210
11.54
209
31.54
207
15.46
218
27.03
241
22.62
241
21.18
240
19.65
231
41.00
243
34.21
246
52.39
247
50.76
240
C. Zhang, Z. Li, Y. Cheng, R. Cai, H. Chao, Y. Rui: MeshStereo: A Global Stereo Model with Mesh Alignment Regularization for View Interpolation. ICCV 2015
MFN_U_SF_RVCtwo views29.69
232
27.88
234
16.68
226
33.60
225
26.24
228
33.24
226
28.25
231
38.11
242
22.90
225
45.82
261
29.89
243
50.07
225
33.98
227
22.28
238
31.33
244
17.67
239
14.74
189
15.63
225
53.43
242
25.34
238
24.20
236
26.62
246
11.50
220
25.26
240
34.11
233
25.01
221
37.25
231
50.62
239
DPSNettwo views29.94
233
15.20
211
15.31
222
25.05
218
23.57
224
32.31
225
15.43
205
20.67
207
22.46
223
8.50
112
12.81
183
89.35
282
46.22
245
5.71
195
22.68
228
18.09
240
33.82
244
29.02
250
69.20
256
20.89
231
22.57
233
22.52
240
40.62
251
26.74
243
44.25
248
32.68
241
40.45
235
52.25
242
edge stereotwo views30.14
234
20.48
222
20.64
239
41.50
233
37.71
238
43.46
238
39.90
238
38.76
244
22.37
222
16.34
205
39.71
253
60.99
238
37.64
234
25.20
240
20.79
219
14.57
229
26.94
239
15.51
224
44.97
232
19.77
230
20.56
229
18.66
227
22.07
242
18.93
228
29.16
227
24.24
217
39.24
232
53.57
245
AnyNet_C01two views30.96
235
19.98
220
15.05
221
20.75
209
25.62
226
22.63
214
22.12
222
36.40
235
39.01
254
21.35
225
28.46
237
49.12
224
35.02
229
15.04
226
33.17
246
22.88
246
39.72
251
34.61
253
58.76
245
31.24
246
41.17
256
34.42
256
21.99
241
22.02
237
35.89
236
31.50
236
32.61
220
45.45
231
LE_ROBtwo views31.15
236
25.04
227
23.08
241
44.74
236
47.74
249
42.26
237
47.65
245
38.05
241
26.35
230
14.92
194
27.39
236
62.93
245
54.33
254
3.38
172
17.61
201
6.00
107
12.02
173
7.50
176
34.45
217
15.08
217
17.26
208
13.21
196
10.73
217
30.38
249
45.10
251
45.00
255
62.10
257
66.75
266
DGSMNettwo views32.74
237
26.21
231
21.38
240
37.73
227
29.95
232
34.84
229
34.23
234
24.66
217
19.43
217
24.88
231
51.24
259
46.06
220
28.65
218
22.25
237
26.57
238
20.94
243
51.66
261
29.84
251
62.26
249
33.85
250
40.29
255
41.12
265
24.30
244
29.99
248
26.34
218
26.33
222
31.13
217
37.73
216
MSC_U_SF_DS_RVCtwo views34.01
238
36.70
243
37.14
252
47.25
239
28.07
231
29.43
223
27.43
230
50.80
256
47.52
257
40.20
253
25.09
233
39.01
213
33.39
226
29.53
243
37.84
251
26.40
250
16.84
199
21.78
239
61.43
248
33.78
249
24.58
237
30.08
250
26.57
245
36.04
253
35.11
235
26.89
224
29.05
212
40.29
218
SQANettwo views34.13
239
52.91
251
20.04
237
71.73
255
51.83
251
73.91
256
75.37
255
25.76
219
12.05
196
32.09
244
15.31
203
60.15
236
16.08
204
90.79
259
18.73
206
7.66
153
18.79
211
16.14
226
45.27
233
12.63
209
12.03
171
11.79
169
57.69
257
8.12
191
22.24
208
23.24
213
26.50
211
42.59
224
STTRV1_RVCtwo views34.83
240
19.97
219
10.67
194
33.47
224
19.16
217
29.14
222
22.50
224
30.89
229
29.30
233
24.44
230
23.80
230
42.62
215
41.42
241
47.96
246
38.73
252
12.08
209
57.30
267
13.89
219
64.69
251
29.86
244
59.34
276
22.47
239
42.36
252
42.07
254
27.16
219
57.60
270
35.14
227
62.45
256
STStereotwo views35.13
241
45.56
248
34.03
249
61.63
251
49.92
250
54.32
247
44.81
241
36.44
237
33.47
248
25.69
233
29.35
241
63.16
246
52.17
253
12.19
219
23.27
231
9.47
175
17.21
201
8.59
184
47.67
236
16.58
221
19.55
222
18.29
225
10.00
215
24.09
238
50.84
253
44.22
254
62.57
258
53.51
244
MANEtwo views36.94
242
36.29
241
31.03
246
57.02
246
46.19
246
46.08
243
45.02
242
43.11
251
29.92
238
23.17
228
29.68
242
55.69
232
39.74
238
18.06
229
29.18
242
23.46
248
29.40
240
42.51
261
38.74
227
16.68
222
30.43
245
19.45
230
9.50
214
26.64
242
54.34
258
45.68
258
66.46
264
63.84
259
PVDtwo views37.79
243
34.98
239
20.39
238
46.52
238
34.64
234
49.92
245
37.87
237
40.06
247
38.35
253
15.54
200
28.87
239
51.49
229
50.85
250
49.22
247
24.31
235
17.44
238
37.87
250
22.43
241
50.09
240
27.13
239
38.96
251
40.93
264
19.99
238
24.74
239
44.82
250
60.36
271
46.84
243
65.68
265
SAMSARAtwo views38.96
244
15.52
212
37.69
253
18.97
206
18.01
214
18.96
209
18.57
215
44.44
253
36.55
252
28.79
240
18.57
215
28.75
201
47.14
246
14.57
224
33.04
245
30.30
252
23.15
231
25.75
245
47.67
236
27.36
240
48.65
268
52.46
274
7.08
210
29.16
246
96.17
287
97.88
287
95.26
286
91.51
285
BEATNet-Init1two views39.35
245
44.24
246
28.05
245
61.07
250
43.47
243
54.25
246
45.22
243
41.94
250
32.65
245
31.62
242
24.73
232
61.60
240
56.77
258
14.31
223
34.72
249
23.29
247
23.20
232
17.10
231
58.99
246
32.22
248
29.52
244
24.55
244
18.61
233
29.96
247
50.77
252
41.66
251
73.70
275
64.28
260
ELAScopylefttwo views39.51
246
44.81
247
36.19
250
58.45
249
46.13
245
54.45
248
50.25
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40.44
248
31.78
242
26.02
234
32.54
247
65.46
250
42.57
243
21.53
235
27.48
240
21.05
244
35.00
245
22.52
242
45.69
235
24.31
235
35.29
247
28.06
247
19.96
237
31.99
250
53.74
257
45.14
256
63.62
260
62.25
254
A. Geiger, M. Roser, R. Urtasun: Efficient large-scale stereo matching. ACCV 2010
ELAS_RVCcopylefttwo views39.74
247
44.04
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36.66
251
58.11
248
45.19
244
56.14
249
49.43
246
39.73
246
29.65
236
26.32
235
34.68
250
71.94
261
42.73
244
22.07
236
28.13
241
21.12
245
35.53
246
23.10
244
44.80
231
24.70
236
36.32
249
28.59
248
19.83
236
33.58
251
51.38
254
43.13
253
64.47
261
61.73
252
A. Geiger, M. Roser, R. Urtasun: Efficient large-scale stereo matching. ACCV 2010
DispFullNettwo views40.74
248
50.99
250
26.61
243
65.46
253
47.50
248
60.25
252
71.20
254
32.04
230
27.03
232
21.32
224
20.18
222
68.40
257
50.11
249
93.54
262
22.55
225
20.81
242
50.95
259
35.07
254
69.93
258
28.39
243
27.82
242
23.29
242
21.06
239
21.07
233
29.02
226
21.57
205
35.78
228
58.02
250
LSM0two views42.23
249
24.61
226
13.03
208
39.60
229
30.36
233
41.09
236
36.86
235
50.93
257
34.46
249
45.43
259
47.31
255
62.89
243
55.30
256
11.42
216
85.06
282
89.52
282
36.40
248
22.93
243
70.55
259
35.66
252
45.79
261
37.51
259
17.27
232
25.84
241
40.26
241
36.04
248
52.30
246
51.85
241
otakutwo views42.53
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60.76
255
26.12
242
85.54
270
70.60
260
84.54
272
93.44
275
37.69
240
31.70
241
39.26
252
20.97
226
60.57
237
26.89
215
95.02
263
27.13
239
12.84
213
20.60
220
16.82
229
65.55
252
27.44
241
15.74
199
13.40
198
58.61
258
19.88
232
34.37
234
23.17
212
34.71
225
44.82
229
Ntrotwo views44.96
251
61.36
257
27.27
244
85.34
269
71.49
261
84.40
271
94.06
276
47.80
254
36.31
251
40.39
254
33.41
248
65.57
252
23.58
209
95.42
264
29.82
243
13.96
226
23.52
235
17.09
230
66.20
253
31.33
247
17.22
207
13.73
200
60.12
259
21.16
234
36.19
238
31.98
239
40.20
234
45.09
230
ACVNet-4btwo views46.06
252
60.90
256
32.92
248
90.00
277
76.09
269
84.67
273
96.68
282
33.82
232
32.59
244
41.20
255
17.24
211
80.20
269
32.09
221
96.24
270
37.08
250
28.08
251
33.12
242
20.43
238
55.56
243
37.90
253
13.41
182
12.52
182
63.49
267
19.04
229
36.12
237
28.81
227
41.44
236
41.92
223
AMNettwo views47.83
253
50.28
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48.32
256
49.27
241
46.57
247
59.06
251
53.92
249
21.22
209
35.36
250
31.59
241
66.41
268
69.82
259
12.21
195
54.08
250
44.47
253
55.40
266
56.24
265
57.04
274
48.21
238
48.59
255
56.86
274
49.60
271
11.74
222
47.76
257
44.74
249
51.79
265
57.49
253
63.38
258
ACVNet_1two views49.61
254
64.75
258
40.30
254
86.63
272
72.69
262
85.53
275
95.02
277
58.49
261
29.66
237
43.47
258
50.49
258
66.34
254
57.87
259
95.90
266
34.54
248
15.19
232
37.38
249
28.28
247
57.74
244
31.14
245
27.97
243
20.60
233
63.71
268
28.64
245
43.64
247
29.72
231
35.84
229
38.01
217
RainbowNettwo views54.35
255
67.68
259
45.83
255
91.40
278
75.14
267
90.62
282
95.07
278
39.32
245
32.73
246
45.43
259
31.22
246
72.72
262
57.93
260
96.79
273
69.96
267
46.59
261
35.94
247
30.28
252
78.27
271
55.58
261
23.73
235
16.75
219
65.53
269
33.78
252
40.70
242
33.59
243
45.00
241
49.95
238
MADNet+two views54.49
256
36.29
241
65.28
274
55.46
245
52.71
252
44.78
240
41.01
239
61.36
263
51.38
259
53.83
264
37.45
251
76.28
265
63.97
263
33.78
244
63.96
265
50.01
263
54.97
264
50.48
266
69.76
257
52.44
257
48.80
269
42.65
266
51.91
255
47.05
256
75.18
276
70.10
275
57.84
254
62.60
257
SPS-STEREOcopylefttwo views56.82
257
55.71
253
52.37
259
54.64
244
54.16
253
62.84
254
55.13
250
37.37
238
53.33
260
41.27
256
72.52
273
68.62
258
51.40
251
53.51
249
57.00
260
56.39
269
64.80
276
60.94
278
67.98
254
65.36
271
72.37
282
62.46
280
22.85
243
53.74
263
53.29
256
57.11
269
64.68
262
62.29
255
K. Yamaguchi, D. McAllester, R. Urtasun: Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation. ECCV 2014
JetBluetwo views57.10
258
54.08
252
62.43
270
61.97
252
58.30
255
62.31
253
61.16
251
51.95
258
74.31
271
46.01
262
28.78
238
88.78
281
39.88
239
51.67
248
46.67
255
44.36
259
61.07
269
52.35
268
60.70
247
51.51
256
54.26
271
58.95
276
68.18
271
55.39
265
54.92
259
47.82
260
72.43
271
71.46
269
SGM+DAISYtwo views57.17
259
56.10
254
53.57
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57.66
247
54.81
254
66.87
255
62.17
252
41.35
249
46.50
256
41.67
257
74.58
274
65.22
248
55.77
257
55.63
252
59.11
264
56.13
267
64.44
275
58.92
277
64.63
250
60.40
267
66.26
278
59.91
277
29.65
249
50.56
259
53.16
255
55.58
267
67.40
265
65.61
264
ACVNet_2two views59.14
260
74.57
261
58.41
266
88.79
274
81.19
272
87.39
279
96.11
280
66.30
265
42.46
255
52.85
263
49.00
256
79.04
268
70.67
266
96.49
271
54.14
259
40.62
256
41.93
252
28.82
249
77.71
268
42.88
254
33.06
246
24.05
243
62.12
260
53.57
262
55.32
260
32.47
240
51.92
245
54.99
249
IMH-64-1two views61.05
261
75.17
262
52.05
257
80.74
258
74.47
264
80.23
262
84.86
260
77.30
269
64.62
263
37.02
248
59.82
261
62.46
241
80.47
277
96.83
275
53.09
257
41.27
257
49.54
255
35.71
256
72.68
262
54.81
259
39.90
252
32.50
252
62.43
261
50.78
260
67.42
268
39.74
249
57.43
251
65.04
262
IMH-64two views61.05
261
75.17
262
52.05
257
80.74
258
74.47
264
80.23
262
84.86
260
77.30
269
64.62
263
37.02
248
59.82
261
62.46
241
80.47
277
96.83
275
53.09
257
41.27
257
49.54
255
35.71
256
72.68
262
54.81
259
39.90
252
32.50
252
62.43
261
50.78
260
67.42
268
39.74
249
57.43
251
65.04
262
WAO-7two views61.94
263
71.56
260
62.05
269
65.75
254
69.41
258
56.14
249
62.30
253
81.67
276
78.25
274
59.05
268
70.90
270
65.32
249
71.06
267
54.89
251
84.81
281
76.94
279
44.67
253
35.13
255
80.44
276
69.59
276
43.32
259
33.82
255
15.00
227
80.05
283
55.99
261
65.94
274
56.44
250
61.89
253
IMHtwo views63.17
264
76.33
265
54.19
262
81.33
260
74.21
263
82.68
266
84.99
263
77.65
271
66.35
266
38.15
251
59.93
263
66.09
253
82.64
280
96.82
274
57.26
261
45.43
260
50.76
258
36.87
258
75.77
266
59.41
266
39.97
254
32.67
254
62.53
263
54.62
264
71.08
272
48.54
261
61.52
256
67.92
268
PSMNet_ROBtwo views63.62
265
80.93
273
61.11
268
82.06
263
75.91
268
85.66
276
87.87
268
55.78
260
75.75
272
71.00
274
64.08
266
73.73
264
72.13
270
95.50
265
58.85
263
37.29
254
53.04
262
39.79
260
73.04
264
65.57
272
41.57
258
29.13
249
63.35
266
48.54
258
63.40
266
42.46
252
73.36
273
46.75
234
TorneroNet-64two views63.98
266
75.57
264
57.45
265
83.07
265
63.84
256
75.22
257
83.83
259
60.34
262
69.07
269
56.60
266
49.28
257
86.93
276
71.27
269
96.71
272
67.67
266
51.38
264
48.22
254
46.78
263
77.34
267
58.81
265
35.85
248
36.77
258
74.57
273
55.54
266
59.56
263
51.37
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61.32
255
73.21
273
TorneroNettwo views66.86
267
77.92
266
64.47
272
86.31
271
69.64
259
77.67
258
87.13
267
62.93
264
69.96
270
65.69
271
55.78
260
86.74
275
68.24
264
96.86
277
71.17
268
51.97
265
49.62
257
51.28
267
78.97
272
62.59
269
41.20
257
43.42
267
76.92
275
56.82
267
60.62
264
49.22
262
70.01
269
71.97
271
PWCKtwo views68.06
268
90.32
285
62.85
271
92.90
281
74.77
266
85.41
274
76.65
256
74.89
268
65.35
265
71.52
275
69.97
269
81.47
270
71.14
268
71.79
255
46.18
254
38.78
255
68.69
278
46.54
262
93.69
285
65.23
270
57.46
275
44.21
268
79.49
276
69.69
275
65.76
267
45.15
257
63.32
259
64.29
261
WAO-6two views68.18
269
78.62
268
60.45
267
81.47
261
80.21
271
78.03
259
86.47
266
81.52
275
68.87
268
68.29
273
71.35
272
61.49
239
84.91
281
95.96
267
78.72
274
62.22
271
53.84
263
48.88
264
68.32
255
58.39
264
56.45
273
52.29
273
50.11
254
58.70
268
72.40
273
47.10
259
68.20
266
67.47
267
LRCNet_RVCtwo views69.74
270
79.46
270
53.69
261
96.11
284
97.26
286
94.74
285
90.34
269
72.38
267
49.04
258
99.83
288
80.72
278
96.25
287
77.47
274
98.06
285
48.64
256
32.44
253
80.71
284
66.45
280
96.37
286
73.47
277
48.44
265
39.97
262
96.08
286
64.40
271
37.45
239
24.93
220
46.64
242
41.61
221
MFMNet_retwo views70.27
271
82.01
275
76.70
280
77.50
256
69.21
257
82.82
267
76.83
257
52.08
259
54.81
261
54.70
265
71.11
271
73.65
263
51.71
252
66.06
253
82.43
280
83.60
281
80.08
283
78.18
282
72.22
261
69.01
275
75.33
283
74.67
282
46.87
253
60.21
269
61.36
265
63.27
273
73.39
274
87.35
284
LVEtwo views70.38
272
79.61
271
68.21
275
93.13
282
87.94
277
82.93
268
96.82
284
84.07
279
66.67
267
72.97
276
77.65
276
62.91
244
87.99
284
97.67
283
57.99
262
47.05
262
56.55
266
54.10
271
81.20
277
62.03
268
46.12
264
40.51
263
79.82
277
70.89
277
69.16
270
49.89
263
72.97
272
53.29
243
notakertwo views72.10
273
79.09
269
56.44
264
85.07
268
83.21
273
82.55
265
91.79
272
87.64
283
82.49
281
60.50
269
86.23
280
71.48
260
80.31
276
96.91
278
79.38
275
62.10
270
62.46
273
50.18
265
82.33
278
67.72
274
53.81
270
48.46
269
74.10
272
68.81
274
58.80
262
54.11
266
68.79
268
71.97
271
ktntwo views74.27
274
80.09
272
54.40
263
81.87
262
88.84
279
79.49
261
90.90
270
90.82
285
91.54
283
57.18
267
91.65
285
65.50
251
68.85
265
97.45
281
76.39
271
65.35
273
66.98
277
57.15
275
79.45
274
66.06
273
62.65
277
60.72
279
67.84
270
66.33
272
75.83
279
62.37
272
78.26
280
81.20
281
WAO-8two views74.52
275
84.05
278
73.61
278
89.74
275
89.50
281
89.28
280
92.75
273
80.78
273
78.43
275
76.10
278
62.95
264
83.35
271
72.81
271
96.06
268
79.78
277
69.03
276
61.26
270
52.86
269
77.93
269
77.15
280
48.50
266
37.70
260
62.77
264
73.06
278
75.75
277
70.20
276
78.12
278
78.55
276
Venustwo views74.52
275
84.05
278
73.61
278
89.79
276
89.50
281
89.28
280
92.75
273
80.78
273
78.43
275
76.10
278
62.95
264
83.35
271
72.81
271
96.06
268
79.78
277
69.03
276
61.26
270
52.86
269
77.93
269
77.15
280
48.50
266
37.70
260
62.77
264
73.06
278
75.75
277
70.20
276
78.12
278
78.55
276
UNDER WATER-64two views76.24
277
82.20
276
72.56
276
91.75
279
87.39
276
85.91
277
96.79
283
83.59
277
77.05
273
79.27
280
85.20
279
87.22
277
77.06
273
97.41
280
74.25
269
56.13
267
62.80
274
56.62
273
74.95
265
54.04
258
46.06
263
53.11
275
90.69
283
73.40
280
78.25
282
81.35
282
68.54
267
84.99
283
UNDER WATERtwo views76.47
278
84.86
281
73.17
277
92.09
280
84.39
274
85.98
278
95.08
279
80.50
272
78.58
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76.05
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77.21
275
88.36
279
78.28
275
97.23
279
79.68
276
64.18
272
62.42
272
56.61
272
79.02
273
57.51
263
45.78
260
49.93
272
87.98
281
76.69
282
77.47
280
79.88
280
71.14
270
84.72
282
Deantwo views78.10
279
84.07
280
77.79
281
97.36
285
96.41
285
97.23
286
97.23
285
85.94
281
82.02
279
89.02
283
78.94
277
89.52
283
86.62
282
98.39
286
78.24
273
66.19
274
59.02
268
58.04
276
91.39
283
80.44
283
46.00
262
34.43
257
80.10
278
75.71
281
74.91
274
56.61
268
85.57
283
61.37
251
DPSimNet_ROBtwo views79.51
280
78.09
267
80.48
282
79.44
257
89.46
280
80.69
264
81.30
258
70.52
266
95.56
286
96.19
284
86.61
281
88.60
280
60.42
261
93.22
261
77.85
272
70.57
278
75.72
280
65.68
279
83.41
279
78.36
282
72.32
281
79.68
283
91.44
285
62.45
270
69.48
271
83.11
283
77.62
277
78.51
275
HanzoNettwo views79.67
281
82.95
277
64.80
273
84.96
267
88.06
278
83.31
269
90.90
270
93.49
286
91.90
285
61.69
270
89.44
283
83.67
273
87.05
283
98.05
284
75.40
270
66.41
275
75.66
279
73.33
281
87.74
280
75.19
278
71.87
280
71.17
281
75.44
274
68.47
273
77.89
281
71.87
278
79.93
281
80.34
279
JetRedtwo views79.74
282
84.86
281
84.75
283
83.33
266
79.63
270
84.29
270
86.00
265
83.83
278
82.27
280
68.23
272
65.65
267
91.60
284
40.25
240
78.81
256
82.00
279
82.38
280
79.66
282
86.71
286
80.09
275
75.66
279
89.92
284
87.35
284
87.58
280
70.70
276
75.09
275
80.20
281
82.83
282
79.20
278
KSHMRtwo views85.25
283
95.47
286
88.23
285
95.51
283
93.44
284
93.00
284
96.39
281
88.80
284
81.10
278
87.36
282
90.72
284
84.93
274
80.59
279
97.47
282
94.10
284
89.78
283
75.93
281
78.41
283
88.41
281
85.57
284
68.86
279
60.56
278
91.20
284
85.71
284
80.53
283
75.42
279
75.94
276
78.30
274
MADNet++two views89.62
284
89.02
284
93.74
287
82.65
264
93.38
283
79.29
260
85.77
264
84.10
280
91.85
284
96.66
285
97.66
286
87.95
278
93.41
285
67.66
254
95.69
285
98.91
286
94.93
287
85.95
284
92.39
284
97.70
286
96.25
287
98.23
288
84.22
279
96.79
286
80.90
284
87.45
284
86.71
284
80.38
280
ASD4two views90.43
285
85.54
283
87.38
284
87.49
273
84.50
275
91.36
283
84.87
262
86.41
282
89.93
282
79.67
281
89.15
282
67.20
255
97.70
287
82.42
257
87.98
283
94.13
284
93.58
285
95.30
287
90.67
282
94.85
285
94.33
285
93.83
286
90.44
282
93.54
285
99.58
290
99.93
289
99.89
289
99.95
289
PMLtwo views97.97
286
100.00
290
89.93
286
100.00
286
100.00
287
100.00
287
99.54
287
100.00
290
99.69
288
100.00
289
98.27
287
99.94
289
100.00
291
99.54
287
97.52
287
96.07
285
93.74
286
86.07
285
100.00
290
99.13
288
96.78
288
93.32
285
99.00
287
99.26
288
97.52
289
99.99
290
100.00
290
99.98
290
MEDIAN_ROBtwo views98.43
287
99.54
287
99.16
288
100.00
286
100.00
287
100.00
287
100.00
288
99.70
289
99.01
287
100.00
289
99.99
290
98.84
288
97.69
286
99.96
288
99.68
288
99.02
287
99.14
288
99.20
288
99.95
289
98.84
287
95.69
286
97.89
287
100.00
288
98.43
287
90.88
285
94.63
285
93.09
285
97.19
287
AVERAGE_ROBtwo views99.48
288
100.00
290
99.91
290
100.00
286
100.00
287
100.00
287
100.00
288
100.00
290
100.00
290
100.00
289
100.00
291
100.00
290
100.00
291
100.00
289
99.90
290
99.93
289
100.00
292
100.00
292
100.00
290
100.00
289
99.13
290
99.79
290
100.00
288
100.00
290
96.67
288
96.93
286
97.20
288
96.60
286
HaxPigtwo views99.51
289
100.00
290
99.60
289
100.00
286
100.00
287
100.00
287
100.00
288
100.00
290
99.98
289
100.00
289
100.00
291
100.00
290
99.98
290
100.00
289
99.78
289
99.77
288
99.99
291
99.81
289
100.00
290
100.00
289
98.91
289
98.48
289
100.00
288
99.99
289
94.94
286
99.72
288
96.77
287
99.19
288
DPSMNet_ROBtwo views99.77
290
99.92
288
100.00
291
100.00
286
100.00
287
100.00
287
100.00
288
99.68
287
100.00
290
99.55
286
99.83
288
95.84
286
99.58
289
100.00
289
99.97
291
100.00
290
99.97
289
99.99
290
99.86
288
100.00
289
99.87
291
99.81
291
100.00
288
100.00
290
100.00
291
100.00
291
100.00
290
100.00
291
DGTPSM_ROBtwo views99.77
290
99.92
288
100.00
291
100.00
286
100.00
287
100.00
287
100.00
288
99.68
287
100.00
290
99.55
286
99.83
288
95.82
285
99.57
288
100.00
289
99.97
291
100.00
290
99.97
289
99.99
290
99.82
287
100.00
289
99.87
291
99.81
291
100.00
288
100.00
290
100.00
291
100.00
291
100.00
290
100.00
291
CasAABBNettwo views100.00
292
100.00
290
100.00
291
100.00
286
100.00
287
100.00
287
100.00
288
100.00
290
100.00
290
100.00
289
100.00
291
100.00
290
100.00
291
100.00
289
100.00
293
100.00
290
100.00
292
100.00
292
100.00
290
100.00
289
100.00
293
100.00
293
100.00
288
100.00
290
100.00
291
100.00
291
100.00
290
100.00
291
DPSM_ROBtwo views100.00
292
100.00
290
100.00
291
100.00
286
100.00
287
100.00
287
100.00
288
100.00
290
100.00
290
100.00
289
100.00
291
100.00
290
100.00
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100.00
289
100.00
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100.00
290
100.00
292
100.00
292
100.00
290
100.00
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100.00
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100.00
293
100.00
288
100.00
290
100.00
291
100.00
291
100.00
290
100.00
291
DPSMtwo views100.00
292
100.00
290
100.00
291
100.00
286
100.00
287
100.00
287
100.00
288
100.00
290
100.00
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100.00
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100.00
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100.00
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100.00
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100.00
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100.00
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100.00
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100.00
292
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100.00
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100.00
293
100.00
293
100.00
288
100.00
290
100.00
291
100.00
291
100.00
290
100.00
291
FADEtwo views35.40
240
31.75
247
39.81
230
36.98
235
48.38
244
43.23
240
44.35
252
59.58
262
33.87
245
38.78
252
61.46
262
26.50
241
33.66
247
26.36
249
51.33
260
38.71
259
70.62
260
56.04
262
55.99
272
49.25
270
29.69
250
46.44
255
42.73
246
33.31
242
66.01
263
71.68
270