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 Infoalllakes. 1llakes. 1ssand box 1lsand box 1sstora. room 1lstora. room 1sstora. room 2lstora. room 2sstora. room 2 1lstora. room 2 1sstora. room 2 2lstora. room 2 2sstora. room 3lstora. room 3stunnel 1ltunnel 1stunnel 2ltunnel 2stunnel 3ltunnel 3s
sorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
StereoIMtwo views2.96
1
2.05
105
7.26
43
3.35
4
2.54
136
1.78
3
0.28
4
8.41
5
5.58
4
2.77
1
3.62
2
7.05
43
4.60
43
5.95
4
3.33
47
0.01
2
0.05
47
0.00
1
0.00
1
0.19
44
0.39
45
MIF-Stereotwo views3.10
2
1.22
10
7.79
59
4.50
31
2.51
134
2.59
4
0.42
6
5.88
1
5.74
5
5.46
26
7.76
18
1.12
1
1.46
3
9.06
32
5.42
106
0.06
55
0.07
81
0.00
1
0.01
53
0.60
180
0.26
21
EGLCR-Stereotwo views3.41
3
1.28
17
6.47
28
4.22
21
1.36
78
5.18
46
1.24
24
11.58
25
5.47
3
3.80
9
3.40
1
8.10
58
1.69
8
9.53
44
2.23
3
0.09
77
0.89
248
0.01
53
0.00
1
0.24
55
1.42
164
Selective-IGEVtwo views3.46
4
1.32
20
5.92
17
4.55
32
2.27
127
4.65
17
2.07
76
11.50
23
5.81
6
3.19
2
4.75
6
5.46
35
1.77
9
11.24
65
2.37
11
0.05
38
0.82
237
0.00
1
0.20
185
0.10
11
1.17
133
CroCo-Stereocopylefttwo views3.51
5
2.49
173
8.03
67
9.10
242
1.26
75
0.97
1
0.96
17
11.24
22
8.52
45
3.79
8
4.87
7
7.93
57
4.44
41
3.26
1
2.76
28
0.03
16
0.00
1
0.00
1
0.00
1
0.34
101
0.16
14
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
GLC_STEREOtwo views3.61
6
1.35
22
3.91
4
6.86
153
0.23
1
4.69
20
1.61
41
9.80
9
7.20
20
5.64
27
9.11
25
5.19
31
2.02
10
10.25
49
3.70
57
0.07
66
0.04
40
0.22
207
0.00
1
0.24
55
0.17
16
AEACVtwo views3.74
7
1.42
30
6.45
26
5.61
73
6.24
266
4.69
20
1.54
39
7.61
3
7.19
19
3.59
6
7.87
19
4.20
18
6.43
86
6.07
6
1.96
1
0.03
16
1.03
260
0.04
89
0.54
268
0.23
53
2.12
241
CREStereotwo views3.75
8
1.21
7
3.79
3
2.66
2
0.66
22
5.52
58
0.39
5
10.77
16
14.18
93
7.14
30
10.54
38
5.25
32
3.54
20
6.27
8
2.88
38
0.04
22
0.01
6
0.03
80
0.01
53
0.05
2
0.05
1
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
LoStwo views3.83
9
1.25
12
4.39
8
3.29
3
0.58
19
4.87
30
1.15
20
11.00
17
13.34
83
5.02
17
10.69
39
4.14
16
3.78
23
9.15
36
3.20
45
0.08
70
0.03
33
0.09
125
0.00
1
0.13
28
0.35
29
IGEVStereo-DCAtwo views3.90
10
2.95
201
7.30
44
4.05
12
0.92
46
4.94
39
1.65
45
14.40
53
5.82
7
4.17
11
4.67
4
4.50
25
3.95
27
11.24
65
4.28
77
0.18
116
0.56
205
0.00
1
0.17
172
0.25
59
1.98
212
ff7two views3.92
11
2.12
123
7.30
44
4.22
21
1.47
86
4.90
32
1.65
45
14.40
53
5.82
7
5.08
20
5.59
12
3.45
7
4.61
44
11.48
72
2.76
28
0.04
22
0.98
253
0.00
1
0.17
172
0.35
105
1.98
212
fffftwo views3.92
11
2.12
123
7.30
44
4.22
21
1.47
86
4.90
32
1.65
45
14.40
53
5.82
7
5.08
20
5.59
12
3.45
7
4.61
44
11.48
72
2.76
28
0.04
22
0.98
253
0.00
1
0.17
172
0.35
105
1.98
212
11ttwo views3.92
11
2.12
123
7.30
44
4.22
21
1.47
86
4.90
32
1.65
45
14.40
53
5.82
7
5.08
20
5.59
12
3.45
7
4.61
44
11.48
72
2.76
28
0.04
22
0.98
253
0.00
1
0.17
172
0.35
105
1.98
212
ccc-4two views3.92
11
2.12
123
7.30
44
4.22
21
1.47
86
4.90
32
1.65
45
14.40
53
5.82
7
5.08
20
5.59
12
3.45
7
4.61
44
11.48
72
2.76
28
0.04
22
0.98
253
0.00
1
0.17
172
0.35
105
1.98
212
anonymousdsptwo views3.97
15
2.10
117
6.76
35
4.43
28
1.82
110
4.92
36
1.68
50
14.84
63
5.82
7
5.26
25
5.54
10
4.20
18
4.37
38
11.54
80
2.68
25
0.04
22
0.87
244
0.00
1
0.18
181
0.36
112
1.98
212
IGEV-Stereopermissivetwo views3.97
15
2.10
117
6.78
36
4.43
28
1.81
108
4.92
36
1.68
50
14.84
63
5.82
7
5.25
24
5.54
10
4.22
20
4.36
37
11.55
81
2.68
25
0.04
22
0.88
246
0.00
1
0.18
181
0.36
112
1.98
212
Gangwei Xu, Xianqi Wang, Xiaohuan Ding, Xin Yang: Iterative Geometry Encoding Volume for Stereo Matching. CVPR 2023
rrrtwo views3.99
17
2.95
201
11.04
176
4.05
12
0.92
46
4.94
39
1.53
38
11.97
27
6.50
17
4.17
11
4.67
4
4.50
25
3.95
27
11.24
65
4.28
77
0.18
116
0.56
205
0.00
1
0.22
187
0.25
59
1.88
195
CEStwo views4.08
18
1.34
21
3.46
1
3.65
6
11.49
337
5.24
48
0.99
18
10.15
12
9.15
52
3.80
9
9.29
28
1.76
2
0.91
1
6.94
13
2.64
24
0.07
66
0.05
47
0.01
53
0.00
1
1.63
259
9.03
345
test_xeample3two views4.08
18
2.95
201
11.20
179
4.05
12
1.05
57
5.62
69
1.58
40
13.23
33
4.76
2
7.10
29
3.83
3
3.18
6
3.30
17
11.75
84
4.42
83
0.08
70
0.74
224
0.00
1
0.38
246
0.26
69
2.04
228
LoS_RVCtwo views4.09
20
3.01
205
4.81
10
4.88
41
7.78
304
5.24
48
2.80
106
7.57
2
4.24
1
4.41
13
10.34
36
3.62
11
6.34
82
6.59
11
2.37
11
0.04
22
0.03
33
0.00
1
0.01
53
0.06
5
7.70
333
CASnettwo views4.11
21
1.27
15
5.28
15
5.63
76
0.31
2
4.89
31
2.86
107
11.52
24
11.73
67
11.06
58
11.80
47
4.16
17
1.63
5
6.30
9
2.22
2
0.63
214
0.00
1
0.60
253
0.13
149
0.15
31
0.07
3
Junhong Min, Youngpil Jeon: Confidence Aware Stereo Matching for Realistic Cluttered Scenario. ICIP 2024 submissions (1861)
ProNettwo views4.14
22
2.35
160
7.50
53
4.22
21
1.47
86
5.67
71
6.24
190
13.78
50
7.71
26
3.38
3
4.93
8
3.72
12
3.52
19
11.52
79
2.72
27
0.08
70
1.32
290
0.01
53
0.26
206
0.47
151
2.02
224
CroCo-Stereo Lap2two views4.21
23
2.60
182
9.11
95
10.21
269
6.06
260
1.11
2
0.78
12
10.63
15
8.34
40
3.46
4
5.18
9
8.92
66
5.66
70
6.42
10
4.53
85
0.03
16
0.05
47
0.00
1
0.00
1
0.81
217
0.39
45
test crocotwo views4.41
24
2.18
138
11.50
182
5.46
67
2.97
155
3.20
7
1.38
28
9.01
6
5.96
14
3.56
5
16.63
78
3.01
4
2.76
14
14.80
187
4.25
76
0.32
157
0.00
1
0.04
89
0.01
53
0.79
212
0.43
51
MC-Stereotwo views4.47
25
1.16
4
5.85
16
6.14
106
1.43
82
3.70
11
1.73
58
10.62
14
7.83
35
6.85
28
13.33
56
6.77
41
6.21
81
11.23
64
2.52
14
0.04
22
1.30
287
0.06
104
0.24
198
0.17
37
2.14
244
MIF-Stereo (partial)two views4.55
26
1.63
46
8.37
78
5.46
67
5.35
231
3.48
9
0.94
15
9.80
9
8.03
38
4.45
14
15.68
70
5.33
34
5.11
55
11.92
94
4.57
86
0.06
55
0.02
21
0.06
104
0.03
80
0.45
145
0.30
24
XX-TBDtwo views4.63
27
10.71
312
3.94
5
10.55
281
0.62
21
5.95
80
0.08
1
7.91
4
12.75
74
11.73
61
14.80
64
4.04
15
1.64
6
4.90
3
2.61
21
0.08
70
0.01
6
0.00
1
0.00
1
0.26
69
0.06
2
CREStereo++_RVCtwo views4.83
28
1.16
4
4.67
9
4.71
34
2.02
114
4.01
12
0.11
2
9.48
8
18.00
131
8.87
42
16.74
80
4.43
21
2.15
11
6.09
7
3.39
50
0.07
66
0.00
1
0.00
1
10.51
361
0.05
2
0.12
11
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
TANstereotwo views4.87
29
1.49
36
5.02
13
4.02
10
0.51
16
14.25
193
0.15
3
9.17
7
12.84
75
12.80
78
18.36
95
5.14
30
4.43
40
6.01
5
2.30
4
0.09
77
0.12
108
0.00
1
0.01
53
0.02
1
0.68
81
iRaftStereo_RVCtwo views5.06
30
2.15
131
7.88
63
5.54
69
0.78
33
5.22
47
0.45
7
18.47
117
11.75
68
9.72
48
15.05
66
5.74
37
3.18
16
9.29
38
2.52
14
0.02
7
1.24
284
0.00
1
0.01
53
0.58
172
1.62
177
MSKI-zero shottwo views5.11
31
1.81
65
6.47
28
6.17
108
1.78
106
6.42
99
1.50
35
13.59
43
8.66
47
10.63
53
11.58
45
13.29
127
2.35
13
12.34
114
3.09
40
0.05
38
1.21
279
0.02
68
0.29
213
0.15
31
0.85
99
sCroCo_RVCtwo views5.29
32
3.82
237
17.52
268
11.17
293
6.67
277
5.78
76
2.66
99
10.47
13
8.48
44
3.78
7
9.32
29
4.76
29
4.83
53
8.33
24
4.88
93
1.17
278
0.52
197
0.06
104
0.03
80
0.70
199
0.90
106
CAStwo views5.44
33
0.98
1
3.95
6
17.59
336
7.74
303
7.82
124
6.09
186
9.89
11
9.40
54
4.82
16
10.69
39
1.93
3
1.22
2
4.54
2
2.47
13
10.98
358
0.02
21
0.00
1
0.02
72
0.53
163
8.19
339
4D-IteraStereotwo views5.47
34
2.05
105
8.66
81
5.34
61
4.93
216
6.11
81
1.79
63
13.74
48
16.35
117
14.53
105
11.10
42
8.22
59
1.59
4
8.73
26
3.37
49
0.00
1
0.49
191
0.09
125
0.02
72
0.25
59
1.98
212
PMTNettwo views5.52
35
1.11
3
4.24
7
2.49
1
1.38
80
8.75
130
0.67
10
12.64
30
12.84
75
8.66
39
11.27
44
6.00
38
4.70
52
9.91
48
3.02
39
22.39
371
0.01
6
0.04
89
0.02
72
0.06
5
0.23
19
RCA-Stereotwo views5.58
36
1.26
13
6.71
33
4.85
39
0.80
36
5.51
57
3.97
137
17.56
107
19.40
148
8.45
38
14.11
60
8.73
64
8.70
129
6.88
12
2.77
33
0.05
38
0.98
253
0.11
152
0.00
1
0.14
29
0.61
73
test_1two views5.63
37
1.29
18
9.52
117
4.90
43
1.45
83
6.51
100
2.93
110
13.65
46
19.05
146
12.58
67
8.67
20
13.02
122
4.07
31
9.39
41
2.58
16
0.01
2
1.09
263
0.00
1
0.38
246
0.28
81
1.26
144
test-3two views5.64
38
1.29
18
9.52
117
4.88
41
1.45
83
6.53
101
2.92
109
13.64
44
19.04
145
12.75
77
8.67
20
13.01
121
4.10
32
9.39
41
2.58
16
0.01
2
1.09
263
0.00
1
0.37
235
0.28
81
1.25
143
cross-rafttwo views5.70
39
1.44
32
7.08
38
6.69
141
2.11
118
5.89
78
1.44
31
16.44
84
8.38
41
13.42
92
20.70
123
12.20
102
4.38
39
9.06
32
3.11
41
0.03
16
0.38
167
0.00
1
0.22
187
0.24
55
0.84
98
tt1two views5.74
40
2.52
174
6.54
31
6.89
155
0.86
40
10.31
144
4.08
139
19.77
132
16.80
122
7.17
31
9.02
23
4.71
28
8.97
134
11.11
58
2.34
8
0.05
38
1.17
269
0.00
1
0.04
90
0.29
85
2.07
233
test_4two views5.75
41
1.40
27
6.47
28
7.20
178
0.89
43
5.81
77
1.82
64
12.26
28
6.62
18
12.85
79
30.51
214
7.61
50
3.81
24
12.70
130
3.47
52
0.02
7
0.27
142
0.03
80
0.17
172
0.39
129
0.67
79
ACVNet-DCAtwo views5.76
42
2.52
174
6.38
22
6.77
146
0.74
23
10.55
146
5.19
160
21.10
148
13.53
84
7.39
33
10.06
30
4.44
22
9.58
141
11.08
54
2.33
5
0.05
38
1.18
273
0.00
1
0.04
90
0.37
118
1.93
202
CFNet-RSSMtwo views5.78
43
1.24
11
9.20
107
4.82
38
1.23
69
6.33
94
1.21
23
17.35
103
18.14
132
13.35
88
11.17
43
11.69
92
5.43
59
9.71
47
3.34
48
0.03
16
0.20
123
0.00
1
0.36
231
0.37
118
0.42
50
cc1two views5.79
44
2.52
174
6.38
22
6.77
146
0.74
23
10.55
146
5.19
160
19.19
124
15.95
109
7.39
33
10.06
30
4.44
22
9.58
141
11.08
54
2.33
5
0.05
38
1.18
273
0.00
1
0.04
90
0.34
101
2.04
228
HUI-Stereotwo views5.80
45
1.98
87
10.42
151
5.66
79
0.45
3
5.52
58
2.68
101
13.29
40
7.82
34
12.71
76
18.16
89
12.91
119
6.60
88
10.73
52
5.36
105
0.89
246
0.08
87
0.10
133
0.00
1
0.25
59
0.36
35
Gwc-CoAtRStwo views5.80
45
1.37
24
9.07
92
4.80
37
1.39
81
6.90
110
1.27
25
16.50
86
15.48
104
13.07
84
13.35
57
12.64
106
5.61
69
9.14
35
4.20
73
0.04
22
0.32
153
0.00
1
0.29
213
0.30
89
0.33
25
ROB_FTStereotwo views5.82
47
1.97
80
10.37
147
5.67
86
0.46
9
5.52
58
1.63
42
13.27
38
7.79
28
12.69
70
18.06
86
12.86
114
6.63
92
12.28
111
5.43
107
0.87
245
0.09
90
0.10
133
0.00
1
0.26
69
0.36
35
EAI-Stereotwo views5.82
47
2.06
108
9.08
93
6.23
112
2.20
125
6.24
92
6.20
189
20.18
138
6.36
16
10.65
54
15.97
73
6.31
39
3.63
22
12.09
101
4.88
93
0.06
55
0.73
223
0.04
89
1.59
313
0.21
47
1.67
180
PSM-adaLosstwo views5.83
49
1.97
80
10.44
155
5.66
79
0.46
9
5.54
65
1.91
70
13.24
34
7.80
32
12.69
70
18.19
93
12.80
110
6.65
100
11.89
92
5.45
109
1.02
260
0.09
90
0.10
133
0.00
1
0.26
69
0.36
35
CRE-IMPtwo views5.83
49
1.86
73
11.10
178
6.20
111
0.51
16
6.86
108
1.64
44
12.56
29
9.01
49
13.16
85
16.11
75
10.94
84
6.14
80
12.81
133
6.46
143
0.50
190
0.07
81
0.10
133
0.00
1
0.27
77
0.27
22
ROB_FTStereo_v2two views5.85
51
1.97
80
10.38
148
5.66
79
0.46
9
5.52
58
1.95
72
13.24
34
7.78
27
12.68
69
18.16
89
12.83
111
6.61
90
12.27
109
5.63
116
1.00
257
0.09
90
0.10
133
0.00
1
0.26
69
0.36
35
RAFT-IKPtwo views5.85
51
1.97
80
10.36
145
5.66
79
0.45
3
5.33
53
2.01
75
13.27
38
7.79
28
12.69
70
18.19
93
12.77
109
6.67
101
12.36
116
5.60
113
1.11
269
0.09
90
0.10
133
0.00
1
0.25
59
0.35
29
iGMRVCtwo views5.86
53
1.97
80
10.41
150
5.66
79
0.45
3
5.53
62
1.75
61
13.35
41
7.81
33
12.69
70
18.17
91
12.86
114
6.53
87
12.34
114
5.77
119
1.13
272
0.09
90
0.10
133
0.00
1
0.26
69
0.34
28
Patchmatch Stereo++two views5.88
54
1.97
80
10.43
153
5.66
79
0.45
3
5.54
65
2.32
84
13.26
36
7.79
28
12.69
70
18.14
87
12.86
114
6.63
92
12.36
116
5.60
113
1.09
266
0.09
90
0.10
133
0.00
1
0.25
59
0.35
29
Wenjia Ren, Qingmin Liao, Zhijing Shao, Xiangru Lin, Xin Yue, Yu Zhang, Zongqing Lu: Patchmatch Stereo++: Patchmatch Binocular Stereo with Continuous Disparity Optimization. ACM MM 2023
iRAFTtwo views5.88
54
1.97
80
10.43
153
5.66
79
0.45
3
5.54
65
2.32
84
13.26
36
7.79
28
12.69
70
18.14
87
12.86
114
6.63
92
12.36
116
5.60
113
1.09
266
0.09
90
0.10
133
0.00
1
0.25
59
0.35
29
IGEV_Zeroshot_testtwo views5.90
56
2.30
147
15.24
244
6.90
156
2.11
118
4.35
13
1.51
36
15.68
72
8.52
45
13.73
97
11.89
49
11.49
88
3.82
25
11.41
70
4.76
91
0.11
84
0.84
239
0.15
174
0.25
204
0.87
223
1.98
212
raftrobusttwo views5.94
57
2.07
112
6.94
37
7.67
196
6.24
266
4.96
41
1.82
64
17.76
108
14.36
94
12.03
62
11.62
46
7.74
52
9.01
135
11.29
68
3.71
59
0.05
38
0.79
232
0.00
1
0.04
90
0.25
59
0.38
43
RAFT-Stereo + iAFFtwo views5.94
57
2.35
160
8.80
84
4.07
15
1.36
78
2.78
5
0.66
9
17.05
97
15.89
108
12.65
68
18.49
96
11.81
96
7.89
114
8.48
25
3.80
61
0.02
7
0.75
226
0.00
1
0.00
1
0.43
138
1.49
171
DeepStereo_RVCtwo views5.95
59
1.88
77
10.44
155
5.76
95
0.60
20
5.45
54
1.78
62
12.93
31
8.02
37
14.07
101
14.98
65
12.40
103
10.05
148
12.02
97
7.35
149
0.61
212
0.10
100
0.12
157
0.00
1
0.21
47
0.29
23
LL-Strereo2two views5.97
60
2.88
196
10.62
159
6.59
132
3.38
166
6.31
93
2.20
81
15.61
71
8.46
43
11.33
59
10.75
41
15.69
159
3.45
18
13.58
163
4.65
88
0.16
107
0.48
188
1.33
299
0.13
149
0.36
112
1.42
164
test_3two views5.97
60
1.26
13
9.95
132
6.84
152
1.45
83
8.73
129
3.18
116
14.26
52
19.86
150
12.22
64
8.91
22
13.78
133
3.99
29
9.38
40
2.58
16
0.01
2
1.10
265
0.00
1
0.37
235
0.30
89
1.20
136
NRIStereotwo views5.98
62
1.91
78
9.60
119
6.29
120
0.45
3
6.56
103
2.52
92
15.37
68
11.43
64
12.55
66
15.07
67
11.45
87
6.11
78
12.32
112
6.23
131
0.83
238
0.16
117
0.11
152
0.00
1
0.32
94
0.33
25
HHtwo views6.00
63
2.42
166
9.81
126
5.74
92
1.64
100
7.05
112
3.48
126
17.54
105
7.69
24
8.73
40
12.47
51
14.83
146
8.86
131
13.04
142
2.59
19
0.04
22
1.21
279
0.20
197
0.05
104
0.30
89
2.34
250
HanStereotwo views6.00
63
2.42
166
9.81
126
5.74
92
1.64
100
7.05
112
3.48
126
17.54
105
7.69
24
8.73
40
12.47
51
14.83
146
8.86
131
13.04
142
2.59
19
0.04
22
1.21
279
0.20
197
0.05
104
0.30
89
2.34
250
test-1two views6.03
65
1.76
58
15.61
249
8.01
215
1.98
113
7.82
124
1.16
21
13.64
44
13.60
87
9.69
47
15.16
68
11.55
90
5.45
61
7.78
19
4.35
80
0.16
107
1.18
273
0.00
1
0.13
149
0.16
35
1.39
159
Selective-RAFTtwo views6.10
66
1.16
4
10.90
172
7.41
185
0.91
45
15.22
204
1.11
19
14.84
63
16.23
113
7.19
32
7.06
16
11.49
88
8.10
117
12.83
135
5.19
100
0.26
144
0.97
252
0.00
1
0.46
255
0.10
11
0.65
76
EKT-Stereotwo views6.11
67
1.71
53
9.09
94
7.69
197
5.56
241
5.16
44
4.26
143
19.18
123
15.13
100
9.20
45
12.84
54
9.55
74
4.18
33
11.74
83
3.24
46
0.53
194
0.62
215
0.09
125
0.14
158
0.17
37
2.16
245
1test111two views6.16
68
2.52
174
6.38
22
6.77
146
0.74
23
10.55
146
5.19
160
21.10
148
13.53
84
7.39
33
10.06
30
4.44
22
9.58
141
12.08
99
9.26
179
0.05
38
1.18
273
0.00
1
0.04
90
0.37
118
1.93
202
RAFT-Testtwo views6.19
69
1.47
33
7.90
64
4.91
44
2.70
140
9.97
134
1.52
37
17.08
98
9.06
51
13.21
86
23.67
153
12.89
118
4.63
49
9.47
43
3.57
55
0.02
7
0.81
234
0.00
1
0.38
246
0.21
47
0.39
45
s12784htwo views6.22
70
1.01
2
4.95
12
3.57
5
0.54
18
19.55
256
0.95
16
19.51
129
18.39
134
12.98
83
12.58
53
7.78
53
5.56
68
11.34
69
4.36
81
0.89
246
0.01
6
0.05
97
0.00
1
0.07
7
0.20
18
Any-RAFTtwo views6.28
71
1.42
30
4.91
11
5.00
47
1.25
74
10.18
138
1.90
69
22.68
165
15.87
107
12.12
63
19.23
102
13.69
132
4.65
50
9.35
39
2.36
10
0.06
55
0.57
208
0.00
1
0.00
1
0.05
2
0.35
29
GMOStereotwo views6.33
72
2.04
100
8.28
74
5.68
87
1.20
65
6.11
81
2.14
77
11.20
18
13.15
78
18.66
185
21.83
132
17.35
181
6.64
96
7.09
14
2.78
34
0.02
7
1.42
302
0.13
162
0.00
1
0.53
163
0.37
39
error versiontwo views6.33
72
2.04
100
8.28
74
5.68
87
1.20
65
6.11
81
2.14
77
11.20
18
13.15
78
18.66
185
21.83
132
17.35
181
6.64
96
7.09
14
2.78
34
0.02
7
1.42
302
0.13
162
0.00
1
0.53
163
0.37
39
test-vtwo views6.33
72
2.04
100
8.28
74
5.68
87
1.20
65
6.11
81
2.14
77
11.20
18
13.15
78
18.66
185
21.83
132
17.35
181
6.64
96
7.09
14
2.78
34
0.02
7
1.42
302
0.13
162
0.00
1
0.53
163
0.37
39
test-2two views6.33
72
2.04
100
8.28
74
5.68
87
1.20
65
6.11
81
2.14
77
11.20
18
13.15
78
18.66
185
21.83
132
17.35
181
6.64
96
7.09
14
2.78
34
0.02
7
1.42
302
0.13
162
0.00
1
0.53
163
0.37
39
GMStereopermissivetwo views6.44
76
4.92
260
12.13
201
5.60
72
0.87
41
9.18
132
2.57
96
12.99
32
25.54
201
12.85
79
11.84
48
5.60
36
3.62
21
11.92
94
6.44
142
0.53
194
0.02
21
0.05
97
0.36
231
0.98
229
0.70
83
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger: Unifying Flow, Stereo and Depth Estimation. TPAMI 2023
TestStereotwo views6.45
77
3.34
221
8.02
66
6.23
112
1.68
102
6.33
94
2.48
90
14.54
61
16.71
121
11.71
60
24.13
156
9.38
71
7.13
103
11.83
88
4.32
79
0.12
92
0.01
6
0.00
1
0.00
1
0.73
203
0.33
25
knoymoustwo views6.46
78
1.84
72
5.13
14
4.31
27
1.88
112
6.36
97
5.55
171
15.25
66
14.48
95
13.85
99
21.25
128
12.66
108
6.63
92
13.20
149
5.11
97
0.19
125
0.13
109
0.12
157
0.00
1
0.71
201
0.57
71
rafts_anoytwo views6.46
78
2.37
162
7.09
39
7.48
191
6.02
258
5.31
52
2.45
89
14.50
60
22.01
164
12.94
82
16.18
76
8.48
63
5.53
66
9.70
46
6.32
137
0.05
38
1.66
315
0.10
133
0.05
104
0.30
89
0.69
82
anonymousdsp2two views6.47
80
1.81
65
9.73
123
5.25
57
1.23
69
9.35
133
3.96
136
22.51
162
18.39
134
12.87
81
10.19
35
10.17
78
4.46
42
11.77
85
3.83
62
0.06
55
1.00
258
0.31
231
0.18
181
0.25
59
2.06
232
XX-Stereotwo views6.50
81
1.81
65
10.42
151
12.71
311
7.14
288
3.46
8
0.90
14
16.31
80
6.13
15
9.03
44
28.11
191
13.48
130
2.22
12
11.87
91
2.61
21
0.45
183
0.78
231
0.08
121
0.42
252
1.09
235
0.88
103
AFF-stereotwo views6.50
81
2.29
146
8.09
69
4.63
33
0.87
41
3.48
9
0.75
11
16.92
96
13.98
90
13.26
87
25.21
164
15.46
156
7.68
111
11.50
77
3.71
59
0.04
22
0.70
221
0.00
1
0.00
1
0.48
153
1.02
118
xx1two views6.52
83
2.52
174
6.38
22
6.77
146
0.74
23
10.55
146
5.19
160
19.19
124
15.95
109
7.39
33
10.07
34
16.17
162
12.10
180
11.08
54
2.33
5
0.05
38
1.18
273
0.02
68
0.36
231
0.37
118
1.93
202
RALCasStereoNettwo views6.53
84
2.84
195
8.12
70
7.88
209
6.12
262
6.85
107
5.29
164
14.66
62
13.94
89
10.20
49
18.18
92
10.24
79
3.83
26
12.33
113
5.56
112
0.04
22
1.88
321
0.11
152
0.01
53
0.26
69
2.24
247
11t1two views6.61
85
1.76
58
9.64
121
5.62
75
2.15
122
13.57
184
2.67
100
15.77
74
8.83
48
13.66
96
11.90
50
12.03
100
9.76
145
12.23
108
8.58
169
0.23
132
1.33
292
0.00
1
0.31
219
0.26
69
1.95
209
TRStereotwo views6.64
86
6.95
287
12.06
200
9.69
255
7.59
296
5.12
43
1.68
50
20.72
141
12.34
70
10.93
57
9.07
24
10.57
81
3.16
15
14.33
175
4.23
75
0.60
210
0.80
233
0.14
169
0.37
235
0.56
171
1.86
194
DisPMtwo views6.68
87
1.58
42
9.90
130
7.19
177
1.12
59
5.71
72
3.69
130
13.74
48
12.42
71
16.60
140
23.63
152
12.64
106
6.39
84
13.31
155
4.08
71
0.77
230
0.01
6
0.08
121
0.15
162
0.14
29
0.53
61
DCREtwo views6.73
88
2.11
121
9.19
106
7.76
202
4.90
214
7.81
123
5.86
181
16.46
85
11.38
63
9.61
46
22.55
145
11.84
98
6.35
83
11.09
57
3.63
56
0.04
22
1.19
278
0.06
104
0.37
235
0.15
31
2.23
246
AnonymousMtwo views6.73
88
12.03
325
3.53
2
4.47
30
1.55
93
4.42
14
3.17
115
11.94
26
8.44
42
17.00
155
10.06
30
9.08
69
4.00
30
7.56
18
4.06
69
0.55
201
0.68
219
23.13
365
8.12
355
0.07
7
0.65
76
iRaft-Stereo_20wtwo views6.75
90
2.17
136
13.20
220
5.07
50
2.34
131
7.43
119
2.61
97
20.20
139
7.85
36
15.28
111
10.36
37
14.42
141
8.13
118
16.81
214
4.20
73
0.06
55
0.84
239
0.13
162
0.83
285
0.66
194
2.42
258
DCANet-4two views6.78
91
1.21
7
11.48
181
3.95
8
0.76
28
4.73
22
1.68
50
18.40
116
25.78
204
15.44
114
20.36
117
6.42
40
8.48
125
8.87
28
6.24
132
0.18
116
0.05
47
0.01
53
0.00
1
0.10
11
1.37
153
SST-Stereotwo views6.85
92
1.67
51
9.39
113
7.24
180
0.82
37
5.89
78
1.87
68
15.34
67
9.89
58
19.25
201
20.26
116
16.63
169
8.40
124
13.81
168
5.75
118
0.40
171
0.05
47
0.13
162
0.00
1
0.10
11
0.08
4
Pruner-Stereotwo views6.85
92
1.81
65
10.24
143
6.92
158
0.92
46
5.55
68
4.01
138
14.42
58
11.85
69
18.22
181
21.92
138
15.64
158
5.69
71
12.10
102
6.08
124
0.84
240
0.02
21
0.18
186
0.10
140
0.11
18
0.38
43
RALAANettwo views6.86
94
3.28
218
11.09
177
7.63
194
4.95
218
6.16
90
1.63
42
20.54
140
15.45
102
15.30
112
14.52
62
12.98
120
4.35
36
13.53
159
3.98
65
0.11
84
0.35
161
0.00
1
0.29
213
0.58
172
0.48
59
DCANettwo views6.87
95
2.02
96
9.12
97
4.03
11
0.76
28
4.77
27
1.74
60
16.15
78
25.07
193
15.88
129
20.79
125
7.89
55
11.31
165
9.23
37
6.15
126
0.18
116
0.05
47
0.00
1
0.00
1
0.28
81
2.01
223
PSM-softLosstwo views6.90
96
1.81
65
10.84
167
7.04
163
0.93
50
5.53
62
1.97
73
23.18
171
9.65
55
14.16
102
22.01
142
12.84
112
5.15
56
13.03
140
7.95
156
0.76
227
0.06
71
0.27
218
0.55
271
0.21
47
0.14
12
KMStereotwo views6.90
96
1.81
65
10.84
167
7.04
163
0.93
50
5.53
62
1.97
73
23.18
171
9.65
55
14.16
102
22.01
142
12.84
112
5.15
56
13.03
140
7.95
156
0.76
227
0.06
71
0.27
218
0.55
271
0.21
47
0.14
12
PFNet+two views6.92
98
1.64
48
10.96
173
6.27
114
0.90
44
5.66
70
1.68
50
14.43
59
16.02
111
18.13
179
21.24
127
14.33
138
5.97
73
13.13
148
5.51
111
0.90
248
0.20
123
0.11
152
0.30
218
0.08
9
0.94
111
RAFT-345two views6.94
99
1.48
34
7.45
51
5.65
78
0.96
54
5.49
56
3.20
117
13.73
47
10.97
60
13.81
98
42.93
322
9.01
68
5.31
58
13.09
147
4.73
90
0.58
205
0.05
47
0.10
133
0.06
114
0.08
9
0.08
4
NF-Stereotwo views6.96
100
1.80
62
10.17
137
7.16
176
0.79
35
6.15
89
3.26
120
20.74
145
18.45
138
13.42
92
19.33
103
11.67
91
6.05
74
12.71
131
6.17
127
0.57
204
0.06
71
0.21
200
0.23
194
0.12
21
0.09
6
OCTAStereotwo views6.97
101
1.80
62
10.20
140
7.15
175
0.78
33
6.12
86
3.38
122
20.72
141
18.47
139
13.41
89
19.33
103
11.91
99
6.05
74
12.68
129
6.19
128
0.59
208
0.06
71
0.21
200
0.22
187
0.12
21
0.10
8
RE-Stereotwo views6.97
101
1.79
60
10.18
138
7.14
170
0.77
30
6.14
87
3.39
123
20.72
141
18.43
136
13.41
89
19.33
103
11.78
94
6.09
76
12.66
127
6.22
129
0.58
205
0.05
47
0.21
200
0.22
187
0.12
21
0.10
8
TVStereotwo views6.97
101
1.79
60
10.18
138
7.14
170
0.77
30
6.14
87
3.39
123
20.72
141
18.43
136
13.41
89
19.33
103
11.78
94
6.09
76
12.66
127
6.22
129
0.58
205
0.05
47
0.21
200
0.22
187
0.12
21
0.10
8
sAnonymous2two views6.98
104
7.12
288
20.67
290
9.13
243
5.40
233
5.28
50
8.11
231
16.71
92
11.50
65
5.04
18
9.17
26
3.77
13
8.23
119
7.84
20
3.15
42
0.11
84
0.07
81
0.06
104
0.28
210
10.80
347
7.09
329
CroCo_RVCtwo views6.98
104
7.12
288
20.67
290
9.13
243
5.40
233
5.28
50
8.11
231
16.71
92
11.50
65
5.04
18
9.17
26
3.77
13
8.23
119
7.84
20
3.15
42
0.11
84
0.07
81
0.06
104
0.28
210
10.80
347
7.09
329
DIP-Stereotwo views6.99
106
2.37
162
11.45
180
4.78
36
1.70
104
13.13
176
1.47
32
15.76
73
7.43
21
14.57
106
26.61
179
10.76
82
5.10
54
14.97
189
8.10
160
0.06
55
0.06
71
0.06
104
0.00
1
0.17
37
1.22
138
Zihua Zheng, Ni Nie, Zhi Ling, Pengfei Xiong, Jiangyu Liu, Hao Wang, Jiankun Li: DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow. cvpr2022
ADStereo(finetuned)two views7.09
107
2.04
100
11.52
183
4.01
9
0.77
30
4.78
28
1.73
58
16.15
78
25.08
194
15.89
130
20.74
124
7.88
54
13.56
199
9.11
34
6.07
123
0.18
116
0.05
47
0.00
1
0.00
1
0.28
81
1.93
202
raft+_RVCtwo views7.10
108
2.37
162
6.59
32
6.94
161
5.82
251
6.35
96
5.97
184
21.05
147
23.63
181
10.90
56
17.95
85
9.80
75
5.55
67
11.49
76
4.47
84
0.04
22
1.50
311
0.00
1
0.00
1
0.38
128
1.23
140
OMP-Stereotwo views7.13
109
2.89
197
9.89
129
10.98
290
1.73
105
4.81
29
1.85
66
18.38
115
16.26
114
16.94
153
14.11
60
17.45
185
7.57
108
13.26
153
5.12
99
0.43
177
0.04
40
0.06
104
0.02
72
0.20
46
0.56
66
RAFT_R40two views7.14
110
1.73
55
9.36
112
7.36
184
0.82
37
5.74
73
3.69
130
15.47
70
15.09
99
18.24
182
19.87
111
16.82
170
8.50
126
13.72
167
5.81
120
0.28
149
0.02
21
0.14
169
0.00
1
0.11
18
0.09
6
Anonymoustwo views7.23
111
3.43
224
20.00
286
12.23
307
8.33
315
14.99
200
12.18
280
15.77
74
10.89
59
4.48
15
7.52
17
3.11
5
7.53
107
12.16
103
6.03
121
1.24
282
0.36
164
0.09
125
0.20
185
2.81
285
1.32
152
ffftwo views7.26
112
1.99
88
9.12
97
4.17
16
0.47
12
4.73
22
1.68
50
16.56
88
33.55
257
15.45
115
20.36
117
7.49
47
12.54
184
9.03
29
6.26
133
0.18
116
0.05
47
0.01
53
0.00
1
0.10
11
1.37
153
MIPNettwo views7.26
112
2.30
147
13.74
225
5.32
60
1.61
97
11.32
156
2.77
105
27.02
211
18.47
139
15.56
121
13.20
55
7.01
42
9.46
140
8.84
27
6.32
137
0.15
106
0.03
33
0.06
104
0.08
127
0.42
136
1.39
159
csctwo views7.26
112
1.99
88
9.12
97
4.17
16
0.47
12
4.73
22
1.68
50
16.56
88
33.55
257
15.45
115
20.36
117
7.49
47
12.54
184
9.03
29
6.26
133
0.18
116
0.05
47
0.01
53
0.00
1
0.10
11
1.37
153
cscssctwo views7.26
112
1.99
88
9.12
97
4.17
16
0.47
12
4.73
22
1.68
50
16.56
88
33.55
257
15.45
115
20.36
117
7.49
47
12.54
184
9.03
29
6.26
133
0.18
116
0.05
47
0.01
53
0.00
1
0.10
11
1.37
153
riskmintwo views7.28
116
1.54
38
8.37
78
5.01
48
3.24
162
11.65
159
3.20
117
16.61
91
18.86
144
10.45
51
13.46
58
16.20
164
12.68
189
12.46
121
6.57
145
0.17
113
1.38
298
0.14
169
0.33
224
0.67
196
2.52
262
R-Stereo Traintwo views7.33
117
1.62
44
9.31
110
6.80
150
2.33
129
7.57
120
5.36
166
24.47
183
7.63
22
16.40
135
33.07
253
12.42
104
5.52
64
8.06
22
5.23
101
0.05
38
0.05
47
0.01
53
0.00
1
0.12
21
0.56
66
RAFT-Stereopermissivetwo views7.33
117
1.62
44
9.31
110
6.80
150
2.33
129
7.57
120
5.36
166
24.47
183
7.63
22
16.40
135
33.07
253
12.42
104
5.52
64
8.06
22
5.23
101
0.05
38
0.05
47
0.01
53
0.00
1
0.12
21
0.56
66
Lahav Lipson, Zachary Teed, and Jia Deng: RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching. 3DV
MIM_Stereotwo views7.37
119
2.06
108
12.02
199
4.71
34
1.69
103
5.17
45
1.28
26
19.54
130
13.09
77
16.93
151
28.48
194
13.05
123
5.43
59
13.25
152
7.41
150
0.02
7
0.62
215
0.00
1
0.01
53
0.45
145
2.09
239
StereoVisiontwo views7.48
120
2.90
198
10.47
157
10.13
265
3.93
184
4.99
42
1.86
67
21.10
148
17.66
128
8.90
43
29.71
205
10.95
85
6.61
90
12.83
135
5.11
97
0.69
222
0.05
47
0.17
183
0.03
80
0.98
229
0.56
66
IPLGRtwo views7.48
120
1.61
43
14.03
230
4.92
45
1.30
76
10.30
142
1.20
22
24.52
186
22.59
171
16.71
148
18.84
98
8.44
62
7.49
106
9.62
45
6.34
139
0.26
144
0.05
47
0.05
97
0.06
114
0.37
118
0.93
109
HHNettwo views7.57
122
2.01
94
8.03
67
3.71
7
3.46
169
4.93
38
6.17
188
19.69
131
16.27
115
20.91
221
31.75
234
10.56
80
5.82
72
10.69
51
5.10
96
0.67
221
0.07
81
0.21
200
0.14
158
0.63
183
0.54
63
IIG-Stereotwo views7.59
123
2.47
169
9.40
114
10.39
276
1.78
106
6.67
104
1.47
32
17.83
109
16.51
120
18.91
195
20.12
114
17.76
189
8.74
130
13.21
151
5.43
107
0.44
180
0.05
47
0.03
80
0.00
1
0.17
37
0.45
54
ASMatchtwo views7.61
124
1.63
46
9.18
105
5.79
96
2.27
127
4.63
16
2.54
93
17.23
101
13.73
88
17.27
158
34.28
269
13.26
126
10.15
151
12.39
119
5.49
110
0.12
92
0.24
137
0.21
200
0.17
172
0.18
41
1.55
176
ACREtwo views7.62
125
3.21
213
14.93
241
7.81
204
5.00
221
10.01
136
4.45
147
16.32
81
15.86
106
17.81
169
19.21
101
8.38
61
4.25
34
11.11
58
10.58
195
0.78
233
0.32
153
0.03
80
0.15
162
0.44
141
1.84
192
LCNettwo views7.64
126
1.41
28
6.15
19
6.93
159
1.35
77
9.00
131
5.44
168
18.37
114
11.30
61
16.62
141
24.39
158
14.67
142
11.03
157
12.03
98
4.01
66
0.07
66
0.02
21
0.23
209
2.07
322
1.00
232
6.69
325
IPLGtwo views7.65
127
2.00
92
13.81
226
5.86
100
4.35
201
10.97
152
1.43
29
22.52
163
16.50
119
19.78
205
20.62
122
5.28
33
5.49
62
12.58
126
9.70
186
0.13
98
0.06
71
0.03
80
0.07
121
0.41
133
1.38
157
CIPLGtwo views7.69
128
3.27
216
14.40
234
7.84
206
5.08
225
10.24
139
4.59
150
16.02
77
15.45
102
18.05
177
19.72
109
8.79
65
4.61
44
11.84
90
10.40
193
0.76
227
0.33
159
0.03
80
0.15
162
0.44
141
1.83
191
xtwo views7.70
129
2.12
123
8.93
90
5.08
51
2.55
137
11.65
159
4.40
146
20.91
146
12.53
72
13.58
95
20.49
121
15.73
160
11.10
159
10.65
50
10.16
188
0.11
84
1.37
296
0.04
89
0.29
213
0.34
101
1.95
209
IPLGR_Ctwo views7.70
129
3.32
219
14.54
236
7.98
213
5.04
223
10.26
140
4.64
153
16.50
86
16.28
116
17.97
176
18.85
99
8.30
60
4.66
51
11.22
63
10.89
202
0.77
230
0.32
153
0.03
80
0.15
162
0.43
138
1.84
192
qqqtwo views7.72
131
2.15
131
10.06
135
5.01
48
1.82
110
8.62
128
7.27
216
21.10
148
13.53
84
12.48
65
18.71
97
16.17
162
12.10
180
12.08
99
9.26
179
0.08
70
1.35
294
0.02
68
0.36
231
0.36
112
1.93
202
111two views7.73
132
2.39
165
9.12
97
4.17
16
0.47
12
10.65
150
3.49
129
21.34
154
28.25
224
10.60
52
16.85
81
14.74
145
10.22
152
12.48
122
6.61
146
0.43
177
0.01
6
0.00
1
0.00
1
0.35
105
2.39
257
RAFT+CT+SAtwo views7.76
133
2.01
94
7.56
54
11.32
295
3.31
163
4.60
15
7.19
213
17.21
100
27.40
217
10.43
50
27.34
183
7.63
51
7.83
113
15.46
196
3.51
53
0.03
16
0.39
169
0.18
186
0.46
255
0.33
96
0.93
109
RAFT-RH_RVCtwo views7.88
134
1.51
37
7.72
56
5.41
65
0.96
54
11.41
157
1.48
34
13.43
42
15.04
98
17.54
165
45.66
334
10.86
83
6.42
85
13.48
157
5.26
103
0.81
236
0.04
40
0.12
157
0.13
149
0.12
21
0.17
16
TransformOpticalFlowtwo views7.95
135
2.10
117
9.83
128
6.06
104
1.24
72
6.82
106
7.98
228
18.60
118
14.06
92
14.93
107
28.79
196
18.74
196
11.03
157
12.79
132
4.12
72
0.06
55
0.04
40
0.21
200
0.04
90
0.21
47
1.27
145
TestStereo1two views8.04
136
2.22
142
8.85
87
10.87
288
2.12
120
4.66
18
2.40
87
21.17
152
23.79
182
17.41
159
26.31
175
9.41
72
9.09
136
16.23
202
3.85
63
0.14
100
0.40
171
0.02
68
0.13
149
0.58
172
1.10
127
SA-5Ktwo views8.04
136
2.22
142
8.85
87
10.87
288
2.12
120
4.66
18
2.40
87
21.17
152
23.79
182
17.41
159
26.31
175
9.41
72
9.09
136
16.23
202
3.85
63
0.14
100
0.40
171
0.02
68
0.13
149
0.58
172
1.10
127
PFNettwo views8.10
138
1.75
56
12.34
205
7.54
193
2.40
132
7.41
118
5.81
179
23.83
180
17.85
130
20.78
215
17.57
83
15.22
154
7.72
112
13.37
156
6.46
143
0.33
158
0.20
123
0.12
157
0.19
184
0.32
94
0.77
93
AAGNettwo views8.15
139
1.75
56
10.57
158
7.72
201
0.74
23
5.74
73
4.98
158
15.90
76
14.59
96
20.31
208
23.80
154
15.08
152
11.25
163
12.27
109
16.70
243
0.85
241
0.06
71
0.32
233
0.01
53
0.15
31
0.16
14
STrans-v2two views8.16
140
2.09
115
9.79
125
5.44
66
1.53
92
11.87
162
9.69
249
19.77
132
13.20
82
14.01
100
25.80
168
17.88
193
12.55
187
13.30
154
4.39
82
0.06
55
0.01
6
0.18
186
0.01
53
0.25
59
1.31
150
Prome-Stereotwo views8.22
141
1.48
34
6.24
20
7.06
166
1.55
93
6.54
102
9.08
239
21.88
157
9.88
57
21.12
225
32.48
248
11.82
97
11.59
169
11.99
96
4.04
68
0.08
70
0.02
21
0.19
192
0.12
146
0.45
145
6.89
328
FENettwo views8.22
141
1.39
25
7.33
49
6.43
124
2.17
124
10.97
152
2.20
81
22.10
160
21.26
156
17.85
172
23.22
150
14.29
136
11.50
167
13.56
162
8.32
163
0.29
151
0.24
137
0.03
80
0.03
80
0.18
41
1.04
120
raft_robusttwo views8.39
143
2.81
192
7.62
55
6.32
122
1.17
63
5.47
55
0.82
13
34.37
283
35.49
279
18.40
184
20.25
115
7.24
45
5.51
63
15.77
198
3.40
51
0.11
84
1.10
265
0.00
1
0.50
264
0.33
96
1.19
135
HITNettwo views8.41
144
3.59
233
9.91
131
5.30
58
1.52
91
13.35
181
4.48
148
22.00
158
16.06
112
15.52
119
22.95
149
15.28
155
11.74
172
14.91
188
9.25
178
0.10
81
0.01
6
0.48
245
0.06
114
0.58
172
1.04
120
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
SAtwo views8.43
145
2.16
135
10.02
134
8.41
225
0.93
50
7.36
117
2.21
83
23.73
178
26.15
206
13.55
94
30.84
220
9.89
76
10.09
149
16.84
216
3.52
54
0.18
116
0.68
219
0.17
183
0.40
251
0.48
153
0.92
107
GMM-Stereotwo views8.44
146
1.27
15
7.36
50
6.64
139
2.56
138
10.00
135
9.29
245
23.79
179
11.33
62
17.96
175
29.59
203
17.14
174
7.59
109
11.77
85
4.61
87
0.13
98
0.01
6
0.24
213
0.94
289
0.49
161
6.14
318
mmmtwo views8.54
147
2.13
129
10.21
141
5.81
98
2.96
154
14.00
189
6.67
199
19.28
126
12.59
73
16.95
154
24.40
159
17.83
192
10.70
155
12.90
137
9.42
182
0.17
113
1.28
286
0.50
247
0.60
275
0.44
141
2.03
227
RAFT_CTSACEtwo views8.55
148
2.62
187
9.63
120
7.41
185
5.06
224
5.76
75
2.54
93
15.38
69
17.84
129
24.33
261
34.69
274
16.37
165
7.22
104
18.05
234
2.63
23
0.01
2
0.56
205
0.00
1
0.03
80
0.42
136
0.41
48
ddtwo views8.57
149
5.20
265
13.37
221
6.91
157
1.05
57
10.30
142
3.89
134
17.29
102
34.00
264
15.73
124
17.50
82
7.45
46
6.60
88
15.00
190
10.99
203
1.39
287
0.41
177
0.18
186
0.46
255
2.25
276
1.40
161
CASStwo views8.64
150
2.03
98
8.60
80
8.71
235
1.59
96
15.02
202
2.75
104
23.27
174
18.58
142
16.29
131
22.78
147
13.42
128
13.68
203
13.07
146
7.66
151
1.18
279
0.05
47
0.13
162
0.01
53
0.75
207
3.24
286
Junhong Min, Youngpil Jeon: Confidence-Aware Symmetric Stereo Matching via U-Net Transformer.
DN-CSS_ROBtwo views8.72
151
3.49
226
16.63
258
6.74
143
3.39
167
6.20
91
3.43
125
23.40
175
22.03
165
17.46
162
30.28
210
9.33
70
8.32
122
14.71
181
6.36
140
0.91
250
0.00
1
0.45
243
0.00
1
0.65
189
0.70
83
GANet-ADLtwo views8.73
152
2.80
191
9.48
115
7.87
208
2.77
142
12.88
173
5.29
164
29.97
238
25.61
202
14.50
104
16.64
79
17.02
173
7.60
110
11.61
82
8.01
158
0.51
193
0.40
171
0.10
133
0.12
146
0.77
210
0.70
83
PSM-AADtwo views8.76
153
1.41
28
6.46
27
6.87
154
1.18
64
12.78
171
9.66
248
20.03
137
15.78
105
21.79
235
24.91
160
14.31
137
13.16
193
12.42
120
4.07
70
0.05
38
0.06
71
2.44
319
0.16
168
0.45
145
7.17
331
FTStereotwo views8.76
153
1.57
40
6.75
34
6.55
129
2.45
133
7.65
122
11.62
276
18.36
113
9.01
49
20.25
207
40.79
310
15.87
161
12.36
183
11.02
53
4.69
89
0.24
137
0.01
6
0.09
125
0.16
168
0.19
44
5.58
312
GwcNet-ADLtwo views8.81
155
2.00
92
10.21
141
7.70
200
2.82
144
6.99
111
7.05
210
30.58
243
26.21
208
15.71
123
17.65
84
13.93
134
6.83
102
13.90
169
11.43
205
0.49
188
0.76
230
0.01
53
0.01
53
0.55
170
1.46
167
test_5two views8.85
156
2.05
105
9.51
116
11.62
297
4.99
220
6.74
105
5.48
170
18.25
112
23.57
179
16.72
149
29.73
206
15.54
157
10.54
154
16.25
205
4.02
67
0.05
38
0.40
171
0.27
218
0.08
127
0.34
101
0.81
95
ARAFTtwo views8.86
157
3.86
238
17.37
267
5.96
101
0.94
53
12.59
169
10.80
262
18.20
111
19.95
151
18.77
190
16.27
77
17.78
190
8.88
133
18.82
241
5.30
104
0.35
161
0.04
40
0.00
1
0.00
1
0.62
182
0.64
74
ffmtwo views8.89
158
2.34
154
12.99
214
6.28
115
3.81
177
12.43
164
7.47
218
19.77
132
16.80
122
16.64
143
32.03
238
17.29
176
11.78
173
11.11
58
2.34
8
0.05
38
1.17
269
0.80
268
0.37
235
0.29
85
2.07
233
Sa-1000two views8.91
159
2.10
117
9.11
95
8.07
217
1.16
62
16.62
231
2.39
86
25.58
192
25.43
199
15.52
119
28.24
192
12.19
101
8.67
127
16.40
208
3.70
57
0.39
169
0.86
243
0.16
180
0.23
194
0.48
153
0.89
105
IRAFT_RVCtwo views8.93
160
1.80
62
10.65
160
7.83
205
1.81
108
6.36
97
10.05
253
26.32
202
27.59
219
17.93
174
19.70
108
17.67
188
9.98
147
13.20
149
6.29
136
0.37
167
0.30
150
0.19
192
0.05
104
0.23
53
0.24
20
DMCAtwo views8.96
161
2.60
182
11.84
193
5.61
73
4.25
196
11.09
154
4.36
145
25.89
194
20.23
153
17.10
157
20.96
126
17.55
186
11.92
179
11.47
71
12.27
214
0.60
210
0.09
90
0.35
235
0.05
104
0.48
153
0.57
71
GEStwo views9.01
162
2.61
186
12.88
210
6.76
144
2.02
114
13.08
175
6.33
194
22.23
161
22.21
167
19.80
206
26.73
180
8.97
67
11.01
156
14.41
177
8.35
166
0.54
199
0.10
100
0.30
230
0.15
162
0.82
220
0.99
113
GrayStereotwo views9.02
163
1.35
22
7.73
57
8.62
231
2.88
148
10.28
141
10.99
266
18.66
120
16.36
118
22.78
248
30.63
216
17.56
187
12.19
182
11.50
77
5.08
95
0.09
77
0.02
21
0.19
192
0.78
284
0.33
96
2.37
253
DEmStereotwo views9.07
164
1.70
52
10.89
170
4.86
40
1.23
69
11.51
158
5.70
174
14.24
51
27.02
214
22.33
243
32.56
249
11.70
93
15.04
216
11.83
88
8.53
167
0.31
154
0.16
117
0.02
68
0.09
133
0.11
18
1.47
168
RAFTtwo views9.07
164
2.76
190
10.38
148
8.89
240
1.24
72
13.48
182
8.19
233
17.14
99
17.29
127
23.01
250
19.34
107
20.06
207
11.13
160
17.79
232
6.43
141
0.09
77
1.12
267
0.28
224
0.02
72
0.79
212
1.94
208
iRaft-Stereo_5wtwo views9.10
166
2.33
152
10.69
162
6.64
139
4.47
207
4.74
26
10.72
261
16.71
92
16.97
126
15.39
113
26.15
172
21.25
214
12.59
188
16.38
207
12.90
223
0.85
241
0.51
194
0.08
121
0.22
187
0.95
228
1.53
174
HCRNettwo views9.13
167
1.82
71
8.73
83
14.95
325
5.22
228
10.66
151
2.49
91
26.57
206
18.64
143
16.31
132
25.51
166
18.42
195
11.15
161
13.53
159
7.25
148
0.10
81
0.04
40
0.10
133
0.02
72
0.27
77
0.76
91
SFCPSMtwo views9.16
168
1.72
54
12.32
204
5.64
77
3.51
171
16.58
230
6.93
207
31.11
246
26.15
206
17.05
156
20.08
113
11.05
86
9.94
146
12.55
123
6.05
122
0.36
163
0.17
119
0.37
237
0.22
187
0.40
130
1.01
116
whm_ethtwo views9.17
169
5.14
264
19.04
282
7.90
211
6.70
279
6.89
109
3.35
121
18.64
119
21.30
157
22.39
244
38.88
300
4.64
27
4.25
34
14.43
178
5.63
116
0.65
216
0.08
87
0.22
207
0.10
140
0.74
205
2.37
253
KYRafttwo views9.17
169
1.39
25
7.74
58
7.07
167
1.03
56
8.05
127
7.90
227
23.72
177
9.22
53
21.43
230
31.08
223
22.52
225
8.03
115
12.21
106
3.16
44
0.10
81
0.02
21
0.05
97
0.67
278
0.46
149
17.51
365
CrosDoStereotwo views9.41
171
1.65
49
8.83
85
5.19
54
1.13
60
7.34
115
14.47
298
16.33
82
24.64
190
24.44
262
33.36
258
13.18
124
13.52
196
12.56
124
9.08
175
0.06
55
0.11
104
0.09
125
0.04
90
0.41
133
1.73
184
DeepStereo_LLtwo views9.41
171
1.65
49
8.83
85
5.19
54
1.13
60
7.34
115
14.47
298
16.33
82
24.64
190
24.44
262
33.36
258
13.18
124
13.52
196
12.56
124
9.08
175
0.06
55
0.11
104
0.09
125
0.04
90
0.41
133
1.73
184
DRafttwo views9.41
171
1.56
39
10.09
136
4.18
20
0.92
46
12.87
172
5.68
173
17.40
104
29.75
232
21.24
227
38.12
294
9.96
77
13.97
208
11.81
87
8.08
159
0.66
220
0.30
150
0.07
118
0.26
206
0.33
96
0.88
103
THIR-Stereotwo views9.52
174
2.21
139
9.26
109
5.38
63
0.85
39
15.55
207
11.50
275
16.88
95
21.74
162
24.45
264
31.96
237
14.20
135
13.85
206
11.89
92
8.54
168
0.14
100
0.25
141
0.10
133
0.05
104
0.40
130
1.11
131
CoDeXtwo views9.58
175
2.12
123
10.82
166
6.52
128
3.76
176
16.55
229
6.82
204
26.62
207
25.63
203
17.50
163
25.62
167
14.70
144
11.81
178
12.82
134
7.88
155
0.42
176
0.20
123
0.15
174
0.02
72
0.36
112
1.28
146
anonymousatwo views9.61
176
2.06
108
9.20
107
5.24
56
6.67
277
15.03
203
4.18
142
19.08
122
21.43
160
19.03
196
30.96
222
21.49
217
14.23
210
11.12
62
8.61
170
0.08
70
1.24
284
0.29
226
0.69
279
0.18
41
1.48
170
BUStwo views9.86
177
1.86
73
9.14
102
7.14
170
4.12
191
19.47
254
2.69
102
34.15
279
23.28
175
18.82
192
21.95
139
14.37
139
11.63
170
14.72
182
12.39
215
0.36
163
0.13
109
0.15
174
0.04
90
0.37
118
0.46
55
CFNet_pseudotwo views9.92
178
2.21
139
11.76
188
5.09
52
2.93
153
14.43
194
3.12
113
27.16
212
32.52
251
17.58
167
22.81
148
21.97
220
9.29
139
13.06
144
8.34
164
0.23
132
0.46
185
1.23
295
0.27
208
2.89
287
0.99
113
ccs_robtwo views9.95
179
2.21
139
11.74
187
5.11
53
2.91
149
14.48
195
3.21
119
27.26
213
32.72
253
17.53
164
22.70
146
21.96
219
9.25
138
12.99
138
8.34
164
0.23
132
0.45
183
1.38
300
0.28
210
3.13
295
1.07
125
MSMDNettwo views9.96
180
2.08
113
11.66
186
5.39
64
2.92
150
16.50
228
2.89
108
29.73
236
34.55
270
17.86
173
21.91
137
18.86
198
8.36
123
13.06
144
7.74
154
0.24
137
0.47
187
0.66
258
0.24
198
3.07
291
1.04
120
MLCVtwo views9.96
180
3.33
220
14.77
237
5.75
94
1.62
98
14.91
198
1.31
27
22.06
159
24.83
192
22.51
245
31.57
232
17.20
175
8.07
116
17.07
220
12.11
209
0.48
185
0.01
6
0.05
97
0.05
104
0.48
153
1.10
127
PCWNet_CMDtwo views9.97
182
2.08
113
11.61
185
5.36
62
2.92
150
16.39
225
2.94
111
29.76
237
34.38
267
17.83
170
21.86
136
18.91
199
8.27
121
13.01
139
7.73
153
0.23
132
0.46
185
0.79
266
0.25
204
3.46
300
1.12
132
DualNettwo views9.99
183
2.34
154
12.99
214
6.28
115
3.81
177
12.43
164
7.47
218
19.77
132
16.80
122
16.64
143
32.03
238
17.29
176
11.78
173
11.11
58
24.30
288
0.05
38
1.17
269
0.80
268
0.37
235
0.29
85
2.07
233
Wang Yun; Wang Longguang: ECCV2024. ECCV2024
UCFNet_RVCtwo views10.01
184
2.81
192
6.11
18
7.31
182
3.92
183
16.80
233
8.00
229
28.68
225
20.81
155
16.57
138
23.35
151
25.82
250
13.06
192
13.55
161
9.18
177
0.12
92
0.06
71
1.19
291
0.32
221
1.47
254
1.06
123
Anonymous3two views10.07
185
4.14
244
31.49
320
9.77
258
5.11
226
25.00
291
11.85
277
25.20
189
19.24
147
10.80
55
14.78
63
7.92
56
8.68
128
14.40
176
6.12
125
3.25
323
1.40
299
0.08
121
0.06
114
0.81
217
1.30
149
BEATNet_4xtwo views10.11
186
5.82
273
14.80
239
6.14
106
1.55
93
13.87
187
5.98
185
26.24
199
18.35
133
16.53
137
25.41
165
18.01
194
13.78
205
18.01
233
12.39
215
0.48
185
0.18
120
0.81
273
0.11
144
2.02
268
1.70
182
GANet-RSSMtwo views10.17
187
2.02
96
8.21
72
7.09
169
5.57
242
13.17
178
7.29
217
27.27
214
19.65
149
15.81
125
28.83
197
26.18
252
16.33
235
14.58
179
9.28
181
0.25
141
0.27
142
0.16
180
0.04
90
0.65
189
0.72
86
gwcnet-sptwo views10.26
188
3.56
229
15.31
245
6.59
132
4.30
197
15.71
210
5.71
176
26.09
196
25.15
196
21.68
232
21.77
129
15.01
149
16.42
238
15.21
191
10.76
198
0.12
92
0.20
123
0.02
68
0.09
133
0.63
183
0.86
100
scenettwo views10.26
188
3.56
229
15.31
245
6.59
132
4.30
197
15.71
210
5.71
176
26.09
196
25.15
196
21.68
232
21.77
129
15.01
149
16.42
238
15.21
191
10.76
198
0.12
92
0.20
123
0.02
68
0.09
133
0.63
183
0.86
100
ssnettwo views10.26
188
3.56
229
15.31
245
6.59
132
4.30
197
15.71
210
5.71
176
26.09
196
25.15
196
21.68
232
21.77
129
15.01
149
16.42
238
15.21
191
10.76
198
0.12
92
0.20
123
0.02
68
0.09
133
0.63
183
0.86
100
PSMNet-ADLtwo views10.30
191
2.32
150
7.83
61
9.69
255
4.44
204
16.04
217
4.16
140
27.57
217
25.08
194
15.16
109
19.04
100
25.28
247
13.63
202
16.49
211
15.33
231
0.86
243
0.81
234
0.01
53
0.04
90
0.33
96
1.81
188
ff1two views10.31
192
2.34
154
12.99
214
6.28
115
3.81
177
12.43
164
7.47
218
19.77
132
16.80
122
16.64
143
32.03
238
17.29
176
11.78
173
17.54
226
24.30
288
0.05
38
1.17
269
0.80
268
0.37
235
0.29
85
2.07
233
PSMNet-RSSMtwo views10.31
192
2.47
169
7.79
59
7.85
207
4.38
203
10.47
145
6.67
199
29.67
234
22.25
168
16.62
141
33.75
264
23.30
231
14.58
211
13.91
170
10.56
194
0.23
132
0.09
90
0.07
118
0.24
198
0.87
223
0.48
59
IERtwo views10.32
194
2.06
108
11.88
195
4.95
46
5.34
230
13.34
180
6.11
187
27.47
216
23.59
180
20.37
209
30.03
208
16.50
166
20.42
277
14.24
173
8.81
171
0.16
107
0.03
33
0.18
186
0.10
140
0.27
77
0.56
66
BSDual-CNNtwo views10.33
195
1.86
73
9.14
102
7.14
170
4.12
191
15.83
215
8.93
236
34.15
279
23.28
175
18.82
192
21.95
139
22.14
221
13.58
200
14.72
182
9.53
183
0.36
163
0.13
109
0.15
174
0.04
90
0.37
118
0.46
55
psmgtwo views10.36
196
1.86
73
9.14
102
5.58
71
4.12
191
15.74
214
7.65
223
30.05
239
23.28
175
21.80
236
26.26
174
22.14
221
13.58
200
14.72
182
9.53
183
0.36
163
0.13
109
0.17
183
0.04
90
0.44
141
0.67
79
CFNet-ftpermissivetwo views10.46
197
3.02
206
7.10
40
7.69
197
5.42
236
16.93
234
5.92
182
22.83
169
22.31
169
15.81
125
30.40
212
26.42
255
15.19
219
13.60
164
12.18
211
0.14
100
0.10
100
1.87
308
0.34
227
1.22
240
0.73
89
CFNet_RVCtwo views10.46
197
3.02
206
7.10
40
7.69
197
5.42
236
16.93
234
5.92
182
22.82
168
22.31
169
15.81
125
30.40
212
26.41
254
15.19
219
13.60
164
12.19
212
0.14
100
0.10
100
1.87
308
0.34
227
1.22
240
0.73
89
UDGNettwo views10.51
199
14.75
337
11.91
196
10.29
271
2.78
143
7.93
126
1.94
71
19.31
127
34.57
271
17.74
168
13.70
59
13.56
131
7.30
105
13.52
158
7.18
147
5.80
342
0.11
104
12.86
359
2.76
328
9.87
343
2.34
250
ICVPtwo views10.54
200
2.11
121
7.49
52
9.62
253
3.41
168
13.85
186
6.34
195
26.81
209
23.24
174
16.90
150
31.76
235
27.31
263
12.81
190
12.18
105
12.47
219
1.59
290
0.58
211
0.19
192
0.13
149
0.63
183
1.45
166
Kwon, Oh-Hun and Zell, Eduard: Image-Coupled Volume Propagation for Stereo Matching. 2023 IEEE International Conference on Image Processing (ICIP)
CFNet_ucstwo views10.56
201
2.15
131
12.88
210
5.55
70
4.11
190
15.24
205
3.93
135
28.55
223
32.41
250
18.70
189
24.95
162
22.99
227
9.66
144
14.22
172
8.13
161
0.29
151
0.84
239
1.63
304
0.23
194
3.43
299
1.31
150
cf-rtwo views10.67
202
2.34
154
9.77
124
6.17
108
5.79
248
12.94
174
5.14
159
25.21
191
27.86
221
17.84
171
32.03
238
25.81
249
15.91
229
12.22
107
12.56
221
0.17
113
0.19
122
0.05
97
0.06
114
0.59
178
0.72
86
RAFT + AFFtwo views10.71
203
4.59
252
18.51
276
10.52
278
5.02
222
13.14
177
11.12
269
26.24
199
27.48
218
15.09
108
16.07
74
19.83
205
11.23
162
17.09
221
10.38
191
0.45
183
1.45
307
0.65
257
0.23
194
2.31
279
2.74
271
hknettwo views10.77
204
1.95
79
11.80
190
7.14
170
3.83
182
15.83
215
8.93
236
34.15
279
22.70
172
18.82
192
21.95
139
23.13
229
17.03
245
16.94
218
9.85
187
0.28
149
0.13
109
0.15
174
0.04
90
0.37
118
0.46
55
ttttwo views10.82
205
2.17
136
9.66
122
7.03
162
4.44
204
14.16
191
6.87
205
33.72
274
30.69
238
15.67
122
31.50
230
14.99
148
10.50
153
16.54
212
13.98
226
0.41
174
1.31
289
0.10
133
0.29
213
0.47
151
1.92
201
ACVNettwo views10.83
206
2.25
144
7.10
40
6.43
124
3.02
157
13.17
178
3.75
132
22.83
169
35.15
277
15.81
125
30.67
217
24.65
240
15.77
227
16.47
209
18.13
252
0.16
107
0.01
6
0.06
104
0.07
121
0.65
189
0.43
51
AdaStereotwo views10.85
207
4.57
251
10.79
164
9.59
252
3.46
169
17.49
240
6.29
192
32.70
262
26.07
205
19.04
197
26.55
178
19.60
204
10.12
150
17.71
231
10.38
191
1.00
257
0.05
47
0.42
241
0.02
72
0.70
199
0.46
55
Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Zhe Wang, Jianping Shi: AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021.
iResNettwo views11.06
208
4.16
245
16.83
260
7.89
210
2.23
126
15.59
208
9.17
243
24.49
185
29.14
229
20.78
215
31.13
225
16.87
172
11.58
168
15.45
195
12.50
220
0.64
215
0.05
47
0.02
68
0.10
140
0.79
212
1.71
183
CFNettwo views11.23
209
3.41
223
10.68
161
7.08
168
4.22
195
17.38
239
4.83
156
31.29
251
31.29
242
19.15
199
26.85
181
24.06
236
13.75
204
16.23
202
12.22
213
0.26
144
0.05
47
0.44
242
0.09
133
0.92
226
0.41
48
AACVNettwo views11.24
210
3.71
235
11.56
184
9.45
248
3.35
165
11.67
161
4.88
157
23.23
173
14.00
91
28.19
293
29.90
207
30.39
278
18.03
257
20.04
249
13.22
224
0.50
190
0.21
131
0.23
209
0.07
121
0.75
207
1.52
173
DeepPruner_ROBtwo views11.28
211
5.83
274
15.23
242
6.93
159
4.50
208
10.08
137
6.62
198
36.65
308
20.17
152
18.12
178
27.95
188
23.10
228
13.43
195
20.08
250
11.90
207
1.16
275
0.51
194
0.23
209
0.17
172
1.11
236
1.91
200
GMStereo_Zeroshotpermissivetwo views11.32
212
8.59
306
21.66
295
10.06
263
2.53
135
12.38
163
1.43
29
21.36
155
21.50
161
23.48
254
35.74
279
24.85
242
6.12
79
20.48
257
8.28
162
0.83
238
0.02
21
0.25
215
0.01
53
6.33
326
0.53
61
LMCR-Stereopermissivemany views11.32
212
4.98
262
11.87
194
14.09
316
4.01
185
16.97
236
5.70
174
26.41
203
23.41
178
22.57
247
22.11
144
15.18
153
15.44
223
21.48
274
17.57
248
2.29
306
0.04
40
0.00
1
0.03
80
1.53
257
0.65
76
LL-Strereotwo views11.34
214
4.25
246
13.90
227
9.09
241
6.20
264
7.31
114
8.93
236
35.93
297
30.30
234
16.93
151
15.83
71
21.85
218
17.45
252
21.92
278
10.25
189
0.43
177
1.47
310
0.74
263
0.08
127
1.15
237
2.71
269
GwcNet-RSSMtwo views11.34
214
2.72
189
10.26
144
7.24
180
5.38
232
12.67
170
6.70
201
26.70
208
31.93
247
17.56
166
34.45
271
24.37
239
15.77
227
13.70
166
15.31
230
0.19
125
0.20
123
0.14
169
0.05
104
0.81
217
0.64
74
HSM-Net_RVCpermissivetwo views11.37
216
1.57
40
6.32
21
5.99
102
2.67
139
20.99
266
7.19
213
28.50
221
28.64
226
21.03
224
25.84
169
33.64
300
16.37
237
16.83
215
10.76
198
0.21
129
0.08
87
0.02
68
0.00
1
0.16
35
0.55
64
Gengshan Yang, Joshua Manela, Michael Happold, and Deva Ramanan: Hierarchical Deep Stereo Matching on High-resolution Images. CVPR 2019
NINENettwo views11.46
217
3.02
206
11.83
192
8.45
227
5.40
233
19.47
254
2.69
102
39.63
329
34.82
272
19.11
198
27.64
186
14.37
139
11.63
170
16.21
201
12.39
215
0.94
252
0.21
131
0.29
226
0.00
1
0.48
153
0.55
64
ToySttwo views11.51
218
2.48
172
17.84
272
6.10
105
2.09
116
16.11
221
12.36
283
25.07
188
28.25
224
15.22
110
25.16
163
25.51
248
15.98
230
17.63
230
15.46
233
0.19
125
1.08
262
0.04
89
0.31
219
0.66
194
2.67
266
DAStwo views11.51
218
2.60
182
15.62
250
9.37
246
6.27
269
16.04
217
7.71
224
22.70
166
33.92
262
19.53
203
29.03
198
19.51
202
19.10
266
17.44
225
8.98
173
0.78
233
0.02
21
0.29
226
0.01
53
0.48
153
0.81
95
ac_64two views11.57
220
2.13
129
11.77
189
8.79
237
5.51
239
19.40
252
6.29
192
24.72
187
15.20
101
23.50
255
24.91
160
33.07
294
16.82
242
19.33
244
17.78
250
0.53
194
0.15
115
0.02
68
0.03
80
0.35
105
1.03
119
mmxtwo views11.59
221
2.34
154
12.99
214
6.28
115
3.81
177
12.43
164
7.47
218
32.76
264
28.92
227
16.64
143
32.03
238
17.29
176
11.78
173
17.54
226
24.30
288
0.24
137
1.21
279
0.80
268
0.37
235
0.65
189
1.89
196
xxxcopylefttwo views11.59
221
2.34
154
12.99
214
6.28
115
3.81
177
12.43
164
7.47
218
32.75
263
28.92
227
16.64
143
32.03
238
17.29
176
11.78
173
17.54
226
24.30
288
0.24
137
1.21
279
0.80
268
0.37
235
0.65
189
1.89
196
NOSS_ROBtwo views11.76
223
4.63
254
8.14
71
7.46
189
2.92
150
17.82
243
10.55
259
30.45
242
34.08
266
16.37
133
19.97
112
23.14
230
16.31
233
18.22
236
10.67
197
2.98
318
1.84
319
3.39
332
1.64
314
2.24
275
2.37
253
HSMtwo views11.89
224
2.32
150
8.70
82
6.70
142
4.10
189
16.45
226
8.06
230
30.42
241
20.31
154
23.35
253
26.42
177
41.60
336
17.59
254
20.66
260
9.57
185
0.11
84
0.03
33
0.01
53
0.01
53
0.24
55
1.22
138
SepStereotwo views12.04
225
2.60
182
15.62
250
9.37
246
6.27
269
16.04
217
7.71
224
22.70
166
33.92
262
19.53
203
29.03
198
19.51
202
19.10
266
27.97
308
8.98
173
0.78
233
0.02
21
0.29
226
0.01
53
0.48
153
0.81
95
DMCA-RVCcopylefttwo views12.06
226
4.35
248
14.21
233
10.52
278
4.86
213
13.84
185
4.33
144
25.20
189
24.13
184
20.56
213
29.22
201
26.65
257
25.85
304
17.02
219
16.34
239
0.41
174
0.35
161
0.55
250
0.24
198
0.83
222
1.81
188
1111xtwo views12.31
227
2.33
152
12.13
201
5.79
96
2.84
145
15.49
206
8.70
234
36.34
303
29.33
230
16.58
139
27.52
185
26.70
259
15.76
226
17.21
222
24.79
295
0.26
144
1.37
296
0.04
89
0.42
252
0.46
149
2.07
233
UPFNettwo views12.31
227
2.15
131
11.91
196
7.90
211
7.21
290
20.03
260
9.28
244
29.44
232
27.18
216
20.88
218
30.86
221
21.23
213
18.11
258
19.60
246
17.41
247
0.55
201
0.57
208
0.26
217
0.07
121
0.67
196
0.92
107
FADNet-RVC-Resampletwo views12.31
227
5.22
266
32.28
323
10.14
266
4.08
188
14.97
199
6.98
209
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RASNettwo views12.38
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18.27
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test_xeamplepermissivetwo views12.39
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5.73
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18.17
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6.27
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39.03
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iResNet_ROBtwo views12.41
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12.39
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6.63
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16.98
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2.64
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32.29
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26.93
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17.40
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17.36
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8.95
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0.33
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0.01
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0.00
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29
DSFCAtwo views12.44
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3.00
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6.04
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7.03
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17.06
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10.86
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31.11
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26.41
280
23.81
155
22.37
223
15.13
218
21.13
269
13.53
225
0.95
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0.66
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0.28
224
0.38
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1.21
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0.77
93
FADNet_RVCtwo views12.44
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6.19
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40.86
338
7.04
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3.69
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11.30
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4.17
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29.67
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26.04
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13.47
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17.15
246
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0.99
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1.32
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4.18
309
3.62
292
CBMV_ROBtwo views12.51
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7.98
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5.81
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2.99
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16.05
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27.61
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22.66
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21.14
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12.09
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2.15
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1.78
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2.24
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1.64
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NLCA_NET_v2_RVCtwo views12.58
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4.09
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18.25
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5.83
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14.72
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5.85
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22.14
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32.16
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24.94
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14.01
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16.82
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0.90
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0.35
161
0.37
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0.58
274
1.51
255
3.31
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Zhibo Rao, Mingyi He, Yuchao Dai, Zhidong Zhu, Bo Li, and Renjie He.: NLCA-Net: A non-local context attention network for stereo matching.
acv_fttwo views12.59
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2.25
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6.23
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19.81
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35.15
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30.67
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24.65
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14.91
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16.47
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19.16
264
0.16
107
0.01
6
0.06
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0.07
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0.74
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0.43
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hitnet-ftcopylefttwo views12.59
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3.03
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7.87
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7.49
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4.20
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27.41
307
3.75
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24.15
185
21.14
226
34.12
268
31.93
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19.74
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20.28
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18.13
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0.54
199
1.45
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0.35
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0.09
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1.26
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xxxxtwo views12.60
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6.18
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2.86
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21.84
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3.02
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34.55
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16.39
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31.58
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26.87
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14.00
171
37.45
343
0.21
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pcwnet_v2two views12.68
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18.36
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5.74
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4.77
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36.75
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46.28
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16.56
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10.30
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iResNetv2_ROBtwo views12.78
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6.44
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14.86
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7.17
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29.76
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16.32
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14.77
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7.67
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0.31
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0.03
33
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1.23
140
ADLNettwo views12.84
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8.87
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17.96
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34.12
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26.24
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15.04
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0.59
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CBFPSMtwo views12.96
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5.30
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22.79
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0.11
84
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ADLNet2two views12.99
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dadtwo views13.05
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3.48
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18.77
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35.55
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3.35
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AASNettwo views13.05
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10.28
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6.90
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17.61
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41.14
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23.20
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19.03
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0.39
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0.03
33
0.78
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1.08
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HBP-ISPtwo views13.07
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8.80
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8.11
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29.09
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36.14
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222two views13.07
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34.13
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48.07
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UNettwo views13.18
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7.82
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HGLStereotwo views13.21
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GEStereo_RVCtwo views13.23
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delettwo views13.26
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CRFU-Nettwo views13.32
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8.76
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6.05
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26.25
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30.76
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CSP-Nettwo views13.41
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25.76
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MMNettwo views13.55
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STTStereotwo views13.60
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SGM-Foresttwo views13.63
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8.22
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6.30
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2.16
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23.84
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34.68
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1.66
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Johannes L. Schönberger, Sudipta Sinha, Marc Pollefeys: Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching. ECCV 2018
TDLMtwo views13.70
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4.93
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1.24
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0.09
90
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2.06
270
2.94
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AANet_RVCtwo views13.75
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6.34
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8.87
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4.53
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14.09
190
9.12
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29.37
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37.41
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253
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2.08
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ssnet_v2two views13.84
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22.60
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14.51
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FADNet-RVCtwo views13.86
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12.75
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41.65
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8.64
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4.63
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16.45
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6.89
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28.91
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31.44
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26.73
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11.37
166
21.58
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15.91
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0.25
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114
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psm_uptwo views13.88
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10.20
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5.97
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15.01
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0.75
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180
DLCB_ROBtwo views13.97
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3.74
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11.01
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9.99
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5.85
253
21.40
269
10.37
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28.21
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0.34
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120
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StereoDRNet-Refinedtwo views14.03
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3.31
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18.50
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25.24
246
19.57
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23.88
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0.44
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0.07
81
0.54
249
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225
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264
Rohan Chabra, Julian Straub, Chris Sweeney, Richard Newcombe, Henry Fuchs: StereoDRNet. CVPR
iinet-ftwo views14.05
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5.00
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47.51
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6.57
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4.04
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21.14
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18.66
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20.61
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0.31
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0.09
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0.05
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0.76
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CVANet_RVCtwo views14.09
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4.82
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9.46
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5.60
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19.70
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12.94
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23.72
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16.35
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24.37
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12.45
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1.22
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135
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SACVNettwo views14.10
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12.11
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18.45
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9.11
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33.13
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28.79
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33.88
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32.69
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20.91
264
12.13
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PS-NSSStwo views14.36
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7.44
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5.79
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12.71
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39.02
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36.15
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2.44
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CBMVpermissivetwo views14.52
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4.59
252
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6.61
136
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146
22.76
278
12.45
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33.32
256
31.98
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35.00
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31.68
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19.43
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26.53
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244
1.28
284
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Konstantinos Batsos, Changjiang Cai, Philippos Mordohai: CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation. Computer Vision and Pattern Recognition (CVPR) 2018
FADNettwo views14.77
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11.96
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39.55
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8.50
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18.53
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264
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207
18.54
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11.61
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0.48
185
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fast-acv-fttwo views14.96
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4.73
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8.03
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5.27
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28.61
313
9.97
252
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35.58
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26.03
274
38.02
293
31.91
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21.50
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19.25
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0.61
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184
pmcnntwo views15.27
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Anonymous_2two views15.61
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72
24.18
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NVstereo2Dtwo views15.77
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9.96
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30.36
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15.45
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28.03
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23.46
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16.84
243
24.62
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3.35
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0.87
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1.76
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1.13
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7.76
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9.19
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StereoDRNettwo views16.00
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5.45
269
16.67
259
11.34
296
8.74
320
25.62
294
11.07
268
40.40
332
37.03
284
29.77
302
30.04
209
34.35
305
19.09
265
19.81
247
25.28
298
0.65
216
0.30
150
0.16
180
0.14
158
1.80
264
2.33
249
Wz-Net-LNSev-Reftwo views16.12
276
4.56
250
29.46
314
7.78
203
6.11
261
26.08
299
13.01
291
31.08
245
37.61
289
27.66
288
46.96
340
29.92
272
15.40
221
21.54
275
22.39
277
1.09
266
0.05
47
0.10
133
0.00
1
0.43
138
1.21
137
DRN-Testtwo views16.60
277
4.76
257
16.90
263
10.75
283
8.16
312
29.42
317
14.37
295
43.26
346
39.35
299
28.93
299
35.46
278
29.03
267
20.11
276
20.78
262
24.51
294
0.94
252
0.93
250
0.46
244
0.35
229
1.42
252
2.12
241
SDNRtwo views16.80
278
5.88
276
30.01
316
6.39
123
6.53
273
57.67
373
3.15
114
24.30
182
31.49
244
21.50
231
36.56
285
14.69
143
16.76
241
19.14
242
14.45
228
11.12
360
14.00
371
3.11
328
0.51
265
8.86
337
9.92
351
DISCOtwo views16.93
279
2.58
180
17.15
266
8.26
221
4.37
202
27.65
309
10.68
260
31.28
250
44.93
324
22.21
242
34.47
272
36.48
313
23.91
293
36.14
337
34.48
338
0.35
161
0.11
104
0.04
89
0.07
121
1.95
266
1.40
161
PA-Nettwo views16.98
280
8.05
301
29.56
315
10.52
278
11.30
336
21.91
273
29.93
363
32.64
261
39.50
300
20.38
210
28.51
195
23.80
234
20.82
279
21.45
273
25.60
300
0.25
141
2.36
333
0.23
209
4.99
344
1.34
248
6.47
324
Zhibo Rao, Mingyi He, Yuchao Dai, Zhelun Shen: Patch Attention Network with Generative Adversarial Model for Semi-Supervised Binocular Disparity Prediction.
FINETtwo views17.02
281
8.11
302
28.42
312
9.29
245
8.89
322
24.46
286
25.06
351
35.40
293
49.52
338
26.73
282
33.49
262
20.50
208
18.75
262
20.67
261
19.18
265
2.30
307
2.09
324
1.13
289
0.75
283
2.86
286
2.84
274
GwcNetcopylefttwo views17.31
282
6.61
286
23.02
301
10.83
287
8.63
318
29.48
318
10.80
262
39.37
328
45.73
326
24.16
260
37.85
292
31.50
280
21.81
290
21.37
272
27.25
314
0.81
236
0.88
246
0.57
252
0.46
255
1.54
258
3.61
290
NaN_ROBtwo views17.35
283
7.91
297
18.84
281
11.29
294
4.93
216
33.28
331
20.75
334
38.10
318
43.81
316
30.28
308
31.53
231
32.88
292
20.88
281
29.10
313
17.85
251
0.40
171
0.43
182
0.31
231
0.44
254
0.98
229
3.03
281
S-Stereotwo views17.36
284
4.46
249
22.16
298
12.58
310
9.10
324
23.07
280
12.60
286
33.18
268
46.12
329
22.78
248
38.67
299
29.04
268
27.48
311
19.40
245
23.90
287
3.14
322
3.13
345
0.88
277
1.95
320
3.77
306
9.86
350
FAT-Stereotwo views17.45
285
3.56
229
19.19
283
10.31
272
6.54
274
18.00
245
14.89
303
38.68
321
40.49
303
27.39
287
39.66
303
37.32
315
32.14
336
21.07
267
22.97
280
3.68
327
2.16
329
0.81
273
1.21
304
2.10
271
6.78
326
DANettwo views17.51
286
8.91
308
27.61
309
14.94
324
7.48
292
22.67
277
5.66
172
27.33
215
26.64
209
32.62
322
36.27
283
37.40
316
30.07
326
31.65
322
26.09
306
1.30
285
1.46
309
2.33
316
0.53
267
3.54
301
5.69
313
Z Ling, K Yang, J Li, Y Zhang, X Gao, L Luo, L Xie: Domain-adaptive modules for stereo matching network. Neurocomputing 2021
MaskLacGwcNet_RVCtwo views17.56
287
17.23
344
20.10
287
12.02
304
6.91
284
28.81
314
11.45
273
41.35
335
21.95
163
30.13
307
34.66
273
32.04
288
11.30
164
21.04
266
16.43
241
8.91
350
2.67
337
12.29
358
0.84
286
12.72
355
8.43
341
PSMNet_ROBtwo views17.59
288
6.52
285
16.27
255
14.43
319
7.71
301
29.22
316
33.59
368
43.94
349
38.52
296
24.74
265
33.46
261
34.17
303
17.29
249
18.52
237
25.68
302
0.40
171
0.29
149
0.96
281
2.22
324
2.03
269
1.81
188
Syn2CoExtwo views17.68
289
11.86
323
28.39
311
20.88
345
8.24
313
25.66
295
12.35
281
37.57
314
33.60
261
29.57
300
39.80
305
30.02
274
28.00
314
19.91
248
18.91
261
1.14
273
0.53
199
1.23
295
0.46
255
1.97
267
3.61
290
GANettwo views17.85
290
5.41
268
14.79
238
11.91
302
4.73
212
24.54
288
17.04
318
41.01
333
34.96
274
33.06
323
45.84
335
39.83
327
29.19
320
24.71
292
22.45
279
1.34
286
0.41
177
1.09
285
0.70
281
2.15
273
1.89
196
GASNettwo views17.87
291
20.62
354
32.66
325
21.17
346
9.48
326
16.26
223
9.15
242
45.00
354
40.55
305
26.16
276
24.34
157
33.05
293
15.45
224
29.82
316
18.15
254
3.79
329
0.28
147
1.87
308
0.51
265
7.06
327
1.97
211
NCCL2two views17.94
292
7.94
299
16.87
262
24.07
356
7.60
297
24.52
287
17.08
319
35.42
294
26.65
210
32.01
316
38.57
296
41.96
339
27.61
312
22.24
280
24.43
293
0.65
216
0.33
159
2.64
322
2.13
323
2.28
278
3.86
298
ADCReftwo views18.01
293
8.01
300
44.10
342
10.75
283
8.85
321
27.18
306
11.06
267
31.77
255
34.40
268
31.90
314
42.45
318
18.79
197
21.55
287
25.18
295
35.17
339
1.03
261
0.42
181
2.18
313
1.79
316
1.38
249
2.27
248
XPNet_ROBtwo views18.03
294
6.06
280
18.19
273
11.68
299
6.83
280
21.23
268
16.93
315
36.66
310
39.82
302
32.51
321
42.05
317
41.04
333
25.77
303
25.72
296
28.80
324
1.67
297
0.91
249
0.79
266
0.27
208
1.24
242
2.38
256
SuperBtwo views18.07
295
7.33
291
56.73
360
8.42
226
5.42
236
20.39
264
9.73
250
26.04
195
50.80
342
26.88
284
39.52
302
17.79
191
21.54
286
23.17
285
25.96
305
0.77
230
0.32
153
1.11
288
0.73
282
16.11
361
2.75
272
RPtwo views18.36
296
5.94
278
17.54
269
15.95
334
12.33
342
21.55
271
12.66
287
28.65
224
45.65
325
23.78
258
42.55
320
39.77
326
29.54
323
26.72
302
23.58
286
6.14
344
1.05
261
4.38
334
1.77
315
3.90
308
3.82
297
APVNettwo views18.42
297
6.37
283
23.10
302
12.76
312
8.28
314
30.74
321
24.17
348
42.08
340
30.76
239
25.86
273
41.66
313
31.83
285
24.99
298
28.01
309
28.77
322
0.49
188
0.57
208
3.05
326
0.55
271
1.80
264
2.46
259
ETE_ROBtwo views18.45
298
10.71
312
20.90
292
14.23
318
4.92
215
23.28
282
22.01
337
33.00
265
36.14
283
30.68
310
39.03
301
46.10
351
26.28
305
27.52
306
26.22
307
0.53
194
0.49
191
1.16
290
0.94
289
1.69
262
3.07
282
PWCDC_ROBbinarytwo views18.66
299
11.24
318
21.32
294
18.82
341
8.08
310
25.75
296
6.94
208
35.08
291
53.33
349
30.37
309
49.70
348
20.87
211
21.63
289
31.05
321
22.39
277
6.94
347
0.28
147
0.10
133
0.06
114
5.98
325
3.22
285
Nwc_Nettwo views18.76
300
5.80
272
19.91
285
14.99
326
11.96
339
26.32
301
15.90
307
41.68
338
40.50
304
21.85
237
43.58
327
34.89
306
29.47
322
27.48
305
26.34
308
3.75
328
0.27
142
2.55
321
3.31
333
2.25
276
2.46
259
ADCP+two views18.93
301
5.83
274
35.35
329
9.85
259
10.36
331
29.49
319
13.65
293
34.22
282
37.75
291
30.02
306
41.45
311
24.18
237
26.43
308
34.71
331
36.58
341
0.27
148
0.40
171
2.00
311
1.19
302
2.31
279
2.66
265
MDST_ROBtwo views18.99
302
3.23
214
15.81
254
14.15
317
6.98
285
44.89
356
16.81
314
43.19
345
42.83
313
43.71
351
43.84
328
28.79
266
19.02
264
30.64
320
18.70
259
1.84
300
0.84
239
0.69
259
0.47
260
0.71
201
2.61
263
Wz-Net-LNSevtwo views19.04
303
11.48
321
43.55
341
10.82
286
8.01
308
24.96
290
17.46
323
34.72
289
44.36
319
33.43
326
44.72
333
32.54
289
24.13
294
21.64
277
24.38
292
0.93
251
0.22
133
0.00
1
0.03
80
1.44
253
1.99
221
AF-Nettwo views19.18
304
6.50
284
16.90
263
16.60
335
11.00
335
23.83
284
11.31
271
36.25
302
51.10
345
25.56
270
38.34
295
41.77
337
31.01
331
30.20
318
27.83
317
4.87
339
0.27
142
4.60
335
1.00
296
2.67
283
2.02
224
PWC_ROBbinarytwo views19.21
305
12.15
328
28.02
310
11.02
291
6.62
275
25.15
292
5.47
169
36.42
305
49.47
337
33.19
324
44.32
330
34.98
307
26.66
309
32.22
325
27.30
315
1.71
298
0.27
142
1.62
303
0.37
235
2.38
281
4.90
304
stereogantwo views19.38
306
4.02
241
18.62
278
13.54
314
10.30
330
37.03
340
9.83
251
39.12
325
46.13
330
25.09
268
41.76
315
40.01
328
27.19
310
32.16
323
25.48
299
2.44
311
1.13
268
2.70
324
0.86
287
5.45
320
4.81
301
edge stereotwo views19.38
306
5.98
279
19.25
284
11.11
292
8.07
309
23.51
283
12.74
289
35.93
297
42.55
310
35.05
330
43.06
324
41.34
335
36.05
343
26.06
299
25.62
301
2.70
315
2.47
334
6.38
341
1.54
312
3.18
297
5.01
306
RYNettwo views19.73
308
5.52
270
18.58
277
11.63
298
15.84
353
47.05
359
17.28
320
38.60
320
49.19
336
27.71
289
27.46
184
38.63
320
26.42
307
20.79
263
32.08
335
0.73
223
0.59
213
0.97
282
0.16
168
7.40
329
8.04
337
LALA_ROBtwo views19.82
309
8.32
303
18.64
280
13.59
315
5.79
248
28.03
311
23.44
343
43.09
343
37.57
288
33.91
329
41.55
312
50.73
360
25.61
302
29.09
312
27.30
315
0.73
223
0.67
218
2.08
312
1.42
309
2.70
284
2.12
241
Wz-Net-MNSevtwo views19.84
310
7.55
294
35.79
330
10.79
285
7.51
294
38.96
347
18.39
328
35.08
291
44.72
322
31.28
312
41.70
314
41.18
334
20.49
278
28.41
310
30.13
332
0.96
255
0.36
164
0.05
97
0.13
149
1.70
263
1.64
178
aanetorigintwo views19.84
310
13.32
333
54.46
355
10.07
264
7.99
307
14.16
191
15.32
304
17.85
110
34.49
269
49.59
360
48.88
345
34.28
304
31.32
333
23.53
287
29.64
328
1.12
270
0.81
234
0.73
261
0.94
289
3.05
290
5.23
310
Anonymous Stereotwo views19.84
310
13.55
334
51.68
352
15.30
328
12.97
345
16.15
222
25.32
352
33.73
275
44.41
320
25.12
269
35.39
277
25.00
245
16.27
232
32.62
326
33.04
337
1.83
299
2.26
332
1.76
306
2.01
321
3.57
302
4.92
305
SGM_RVCbinarytwo views20.33
313
3.24
215
8.92
89
7.20
178
1.62
98
39.61
349
17.01
317
39.11
324
35.12
276
46.26
356
42.62
321
51.57
362
39.45
350
39.66
355
29.87
330
1.16
275
0.37
166
0.55
250
0.35
229
1.20
238
1.64
178
Heiko Hirschmueller: Stereo processing by semiglobal matching and mutual information. TPAMI 2008, Volume 30(2), pp. 328-341
RTSCtwo views20.52
314
11.06
315
33.58
326
12.11
305
7.19
289
28.90
315
11.99
279
38.49
319
58.85
366
32.22
319
37.28
286
33.11
295
21.14
282
36.93
345
38.84
350
1.49
288
1.50
311
0.15
174
0.64
277
2.18
274
2.67
266
NCC-stereotwo views20.61
315
7.39
292
25.96
305
15.90
332
16.62
354
20.15
261
23.27
340
44.11
352
41.29
308
25.00
266
38.64
297
35.47
308
28.75
317
36.35
339
26.90
312
4.83
337
2.14
326
3.33
330
9.27
358
3.10
292
3.72
295
Abc-Nettwo views20.61
315
7.39
292
25.96
305
15.90
332
16.62
354
20.15
261
23.27
340
44.11
352
41.29
308
25.00
266
38.64
297
35.47
308
28.75
317
36.35
339
26.90
312
4.83
337
2.14
326
3.33
330
9.27
358
3.10
292
3.72
295
Xing Li, Yangyu Fan, Guoyun Lv, and Haoyue Ma: Area-based Correlation and Non-local Attention Network for Stereo Matching. The Visual Computer
DeepPrunerFtwo views20.61
315
12.13
327
46.35
345
21.53
347
17.78
357
19.41
253
23.64
346
37.23
313
50.61
339
26.20
277
37.72
288
24.90
243
25.02
301
24.63
291
23.53
283
3.13
321
1.65
314
5.69
338
4.09
339
3.64
304
3.34
288
RGCtwo views20.62
318
14.30
336
21.99
297
18.85
342
14.53
348
21.42
270
14.82
302
36.00
300
44.32
318
28.54
296
41.82
316
40.12
329
29.43
321
35.44
336
23.33
281
4.12
331
0.72
222
8.80
351
4.39
342
4.55
314
4.84
303
DGSMNettwo views20.75
319
13.28
332
34.59
328
14.80
323
17.14
356
23.25
281
17.99
327
36.39
304
43.00
314
20.70
214
32.67
251
36.05
312
19.22
269
30.34
319
25.04
297
4.61
334
4.62
355
6.31
340
5.20
346
14.71
359
15.15
363
WCMA_ROBtwo views21.17
320
5.89
277
22.32
299
10.39
276
7.65
299
34.55
334
16.42
312
33.20
269
34.02
265
42.06
346
52.50
352
44.09
343
37.59
346
33.66
329
26.77
311
7.45
349
3.18
346
1.27
298
1.43
310
4.18
309
4.81
301
psmorigintwo views21.56
321
11.18
317
36.59
332
10.19
267
7.08
287
25.30
293
12.35
281
33.52
273
33.12
255
43.62
350
54.15
360
42.72
340
37.44
345
36.87
344
28.98
325
1.65
295
2.78
340
0.81
273
1.19
302
3.62
303
8.10
338
G-Nettwo views21.66
322
9.10
309
39.39
336
15.85
331
9.60
327
51.00
364
16.73
313
28.32
220
31.17
241
38.99
339
43.24
325
33.26
298
32.09
335
28.50
311
26.50
310
4.74
336
3.92
352
3.60
333
1.02
297
8.42
336
7.86
335
FBW_ROBtwo views21.87
323
11.80
322
25.52
304
14.64
321
7.49
293
31.20
324
16.35
311
45.28
355
44.78
323
44.85
355
40.36
308
43.50
342
27.85
313
34.94
332
23.52
282
3.07
320
2.15
328
7.53
349
3.03
332
4.30
311
5.17
309
SANettwo views22.05
324
8.47
305
32.65
324
9.90
260
4.31
200
33.49
332
23.44
343
42.82
342
56.64
361
39.67
342
44.09
329
44.62
344
32.96
338
29.24
315
25.79
303
1.08
264
0.74
224
0.98
283
0.69
279
5.69
323
3.66
294
SQANettwo views22.07
325
25.29
362
21.78
296
26.81
360
18.92
360
30.75
322
10.25
256
33.47
271
30.10
233
25.73
272
34.31
270
33.45
299
19.94
275
29.16
314
20.03
269
11.68
361
3.08
344
26.95
369
5.80
348
20.97
366
12.99
358
UDGtwo views22.21
326
15.90
343
16.41
256
21.71
348
20.17
361
32.51
327
13.78
294
36.62
307
35.77
282
26.64
281
31.43
228
37.49
317
32.33
337
22.77
282
21.19
276
11.08
359
5.60
359
23.12
364
7.74
352
17.07
363
14.89
362
SHDtwo views22.33
327
11.30
319
32.10
321
15.61
329
9.88
328
26.75
303
10.12
254
41.84
339
61.77
371
36.36
333
44.65
332
39.28
323
31.10
332
35.07
333
32.76
336
2.35
308
1.95
323
1.24
297
1.90
319
4.33
312
6.34
320
CSANtwo views22.36
328
11.11
316
26.06
307
21.79
349
5.59
243
34.55
334
36.54
370
40.04
331
50.84
343
37.47
336
40.31
307
45.09
347
33.07
339
27.44
304
25.80
304
1.60
293
0.75
226
1.08
284
1.80
317
2.89
287
3.36
289
ADCLtwo views22.44
329
7.79
295
49.20
350
10.61
282
7.28
291
40.40
352
21.03
335
32.07
258
55.07
353
28.53
295
48.73
343
31.68
282
31.69
334
34.04
330
38.38
346
1.22
280
0.93
250
2.65
323
1.89
318
2.65
282
2.94
278
CC-Net-ROBtwo views22.73
330
23.99
359
30.57
317
14.72
322
8.91
323
32.98
328
16.17
309
46.75
359
37.29
286
33.88
328
32.33
247
35.48
310
25.00
299
24.75
293
28.78
323
9.60
354
3.03
343
25.33
367
3.87
337
14.82
360
6.33
319
ADCPNettwo views22.75
331
10.94
314
58.96
364
12.24
308
7.57
295
37.33
341
20.08
333
33.89
276
37.37
287
33.49
327
44.32
330
39.36
325
28.43
316
32.19
324
38.55
348
2.25
305
2.69
339
2.37
318
3.59
336
4.33
312
5.01
306
MeshStereopermissivetwo views22.95
332
7.84
296
12.46
207
8.13
220
5.20
227
38.49
346
13.36
292
42.69
341
38.05
293
51.34
363
53.82
356
58.22
368
43.29
358
38.42
350
29.59
327
2.96
317
2.84
342
3.11
328
2.33
326
3.12
294
3.65
293
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
Wz-Net-SNSevtwo views23.35
333
18.18
346
47.37
347
14.55
320
8.63
318
28.33
312
29.16
361
39.88
330
55.80
358
32.16
318
53.91
358
39.35
324
24.42
295
27.60
307
38.11
345
1.06
263
0.24
137
1.20
292
0.95
292
3.16
296
2.93
277
DDUNettwo views23.49
334
20.59
353
17.13
265
24.58
357
22.45
365
24.86
289
17.96
326
31.42
252
31.06
240
29.59
301
37.81
290
37.85
318
26.39
306
25.77
297
18.74
260
18.99
368
8.10
367
26.65
368
11.80
364
19.41
365
18.58
367
MSMD_ROBtwo views23.50
335
10.55
311
15.65
253
17.87
340
10.07
329
35.58
337
19.04
330
34.53
286
37.81
292
41.55
345
60.11
367
46.01
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39.81
351
32.74
327
24.92
296
6.86
346
3.63
350
8.92
352
11.16
363
7.21
328
5.99
317
LE_ROBtwo views23.59
336
4.64
255
16.84
261
8.59
230
3.05
158
33.01
329
18.53
329
28.96
228
67.40
382
70.71
383
55.67
363
48.44
357
48.90
365
26.06
299
37.98
344
0.44
180
0.24
137
0.27
218
0.54
268
0.49
161
0.98
112
ADCMidtwo views23.61
337
12.42
329
44.10
342
11.85
301
8.33
315
27.89
310
20.03
332
36.49
306
39.56
301
40.81
343
47.01
341
36.89
314
43.95
359
39.12
353
42.60
360
1.95
301
1.55
313
3.05
326
3.98
338
5.20
317
5.37
311
AnyNet_C32two views24.34
338
15.07
339
42.84
340
13.07
313
11.83
338
31.80
325
31.73
365
32.47
260
45.77
327
35.92
331
49.66
347
34.05
301
35.21
341
44.09
362
43.39
364
1.61
294
1.70
316
1.22
294
2.94
331
4.87
315
7.60
332
MFN_U_SF_DS_RVCtwo views24.71
339
14.86
338
32.18
322
26.47
359
10.48
332
40.27
351
22.83
339
36.88
312
44.51
321
42.59
347
47.13
342
40.20
330
28.00
314
36.70
342
28.36
318
4.23
333
4.00
353
6.73
342
16.35
369
5.05
316
6.34
320
ccnettwo views24.80
340
17.64
345
24.53
303
12.35
309
18.18
359
38.47
345
17.76
325
46.24
357
32.78
254
37.51
337
46.76
337
38.80
321
30.45
329
38.35
349
41.98
357
9.41
353
6.40
361
9.67
354
8.04
353
11.64
353
9.00
344
FC-DCNNcopylefttwo views25.07
341
12.06
326
20.30
288
19.06
343
9.41
325
38.40
344
23.46
345
41.37
336
44.07
317
46.76
358
53.99
359
50.49
359
39.32
349
36.43
341
29.46
326
7.40
348
3.39
347
6.15
339
5.01
345
8.05
333
6.83
327
XQCtwo views25.15
342
18.26
347
52.31
353
22.53
354
12.15
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37.47
342
21.78
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38.74
322
55.51
357
32.40
320
30.75
219
38.36
319
30.19
328
38.28
348
41.25
356
4.61
334
1.44
306
2.77
325
2.26
325
12.52
354
9.49
348
DPSNettwo views25.20
343
7.92
298
36.17
331
11.72
300
6.85
281
53.68
366
43.17
376
52.22
368
60.09
369
31.61
313
39.76
304
40.91
332
35.82
342
33.42
328
26.48
309
4.98
340
2.10
325
0.50
247
1.13
300
9.63
340
5.83
314
SGM-ForestMtwo views25.21
344
4.80
258
13.50
223
8.68
233
3.74
174
46.85
358
22.04
338
46.25
358
51.32
347
51.28
362
52.07
351
62.64
375
47.13
363
46.05
363
36.30
340
1.99
302
2.25
331
1.21
293
1.24
305
1.65
261
3.21
284
PDISCO_ROBtwo views25.35
345
10.44
310
31.01
319
29.47
364
20.36
362
38.32
343
17.74
324
45.56
356
55.34
355
29.88
304
42.94
323
46.63
352
29.76
324
36.23
338
31.29
334
10.74
356
2.20
330
6.96
343
3.53
335
9.98
344
8.52
342
EDNetEfficienttwo views25.68
346
22.94
358
77.88
388
9.49
250
7.66
300
20.89
265
17.37
321
22.52
163
56.02
359
61.49
374
53.31
354
35.83
311
41.88
357
25.06
294
39.53
352
0.86
243
0.83
238
0.91
279
2.82
329
8.28
334
7.98
336
Wz-Net-TNSevtwo views25.85
347
21.47
356
59.51
366
10.38
275
7.64
298
42.40
355
23.33
342
35.97
299
54.36
351
36.56
334
43.26
326
45.90
349
41.27
355
37.81
346
37.10
342
2.35
308
1.90
322
0.77
264
1.34
308
5.89
324
7.75
334
WZ-Nettwo views25.86
348
14.23
335
64.17
369
15.77
330
10.61
333
39.36
348
28.01
359
41.38
337
54.97
352
28.82
298
53.68
355
40.90
331
30.14
327
37.91
347
42.98
363
1.59
290
0.49
191
0.73
261
0.95
292
5.43
319
5.12
308
GANetREF_RVCpermissivetwo views26.12
349
30.35
364
27.03
308
26.08
358
6.28
271
31.16
323
37.25
372
48.48
361
50.90
344
37.30
335
36.39
284
34.11
302
30.98
330
38.51
351
28.38
319
9.08
351
2.68
338
16.48
361
5.42
347
16.24
362
9.34
347
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
FCDSN-DCtwo views26.18
350
15.77
342
20.36
289
28.79
363
15.78
352
40.13
350
19.12
331
43.57
347
42.59
311
44.78
354
52.51
353
50.73
360
40.32
353
35.32
335
28.55
320
6.41
345
3.61
349
7.11
345
6.54
349
10.58
345
10.93
356
Dominik Hirner, Friedrich Fraundorfer: FCDSN-DC: An accurate but lightweight end-to-end trainable neural network for stereo estimation with depth completion.
ADCStwo views27.11
351
15.49
341
48.87
349
15.20
327
10.99
334
31.86
326
24.37
349
43.99
350
58.30
364
43.12
348
49.92
349
41.90
338
41.43
356
42.90
361
46.29
368
3.00
319
2.60
335
2.45
320
3.47
334
7.63
330
8.41
340
DLNR_Zeroshot_testpermissivetwo views27.91
352
51.88
375
91.97
400
98.26
408
97.92
408
3.07
6
0.49
8
31.27
249
8.33
39
8.40
37
15.66
69
7.22
44
1.66
7
12.16
103
4.82
92
40.46
377
1.87
320
0.06
104
0.33
224
80.45
400
1.99
221
MFN_U_SF_RVCtwo views28.91
353
15.44
340
55.12
357
22.00
351
8.49
317
41.39
353
15.36
305
52.74
369
46.70
332
47.83
359
53.87
357
54.97
365
40.50
354
39.54
354
40.77
354
6.09
343
4.92
357
7.08
344
9.02
357
7.68
331
8.69
343
PASMtwo views29.37
354
19.17
348
50.43
351
23.55
355
23.15
367
27.62
308
27.82
358
35.90
296
50.76
341
35.98
332
40.55
309
47.26
355
34.98
340
35.28
334
38.72
349
12.58
365
15.96
372
17.57
363
22.46
371
13.71
356
13.92
361
EDNetEfficientorigintwo views29.50
355
36.05
369
99.77
412
9.67
254
5.93
254
26.79
304
16.02
308
26.87
210
55.18
354
61.15
371
57.72
364
45.04
346
50.99
368
26.90
303
44.78
366
0.53
194
0.54
200
1.72
305
2.53
327
11.05
350
10.75
353
AnyNet_C01two views30.67
356
27.57
363
76.09
386
17.61
337
12.18
341
50.42
363
28.89
360
39.14
327
41.14
307
41.36
344
65.66
378
47.21
354
40.16
352
47.50
364
49.82
375
2.38
310
2.79
341
2.31
315
2.83
330
8.35
335
9.99
352
LSMtwo views30.92
357
21.18
355
57.13
363
19.98
344
54.02
382
33.70
333
25.92
354
43.87
348
49.18
335
46.43
357
55.59
362
43.44
341
36.70
344
36.70
342
28.75
321
2.94
316
9.77
368
5.07
336
8.20
356
10.77
346
29.00
374
RTStwo views30.97
358
24.38
360
96.47
402
17.75
338
12.63
343
58.43
375
26.47
355
38.01
316
63.33
374
44.41
352
46.81
338
33.16
296
45.26
360
52.06
370
42.65
361
2.66
313
1.40
299
1.09
285
1.02
297
5.49
321
5.86
315
RTSAtwo views30.97
358
24.38
360
96.47
402
17.75
338
12.63
343
58.43
375
26.47
355
38.01
316
63.33
374
44.41
352
46.81
338
33.16
296
45.26
360
52.06
370
42.65
361
2.66
313
1.40
299
1.09
285
1.02
297
5.49
321
5.86
315
DispFullNettwo views31.01
360
32.97
365
59.04
365
30.27
365
28.46
369
33.06
330
11.44
272
37.69
315
54.13
350
33.30
325
37.78
289
44.68
345
28.96
319
42.19
360
29.68
329
12.35
364
3.56
348
36.10
373
12.90
366
32.29
373
19.42
369
coex-fttwo views31.29
361
39.15
372
93.51
401
9.71
257
5.77
247
36.25
339
26.79
357
31.43
253
59.45
367
73.35
387
58.73
365
45.49
348
48.48
364
30.19
317
46.52
370
1.59
290
1.71
317
0.94
280
0.97
295
9.43
339
6.35
322
MANEtwo views33.27
362
12.69
330
21.10
293
22.10
352
15.09
351
49.75
361
29.51
362
54.10
372
56.36
360
59.73
367
64.93
375
65.43
378
57.34
376
52.70
373
41.02
355
10.52
355
6.09
360
7.35
347
20.29
370
9.66
341
9.65
349
otakutwo views33.83
363
36.87
370
53.81
354
40.41
369
21.58
363
54.54
368
17.45
322
44.01
351
61.47
370
39.63
340
50.06
350
46.76
353
29.76
324
40.64
357
30.07
331
19.17
369
7.09
364
32.34
371
9.92
360
24.17
368
16.94
364
PVDtwo views34.10
364
19.91
350
39.04
335
27.08
361
18.09
358
35.11
336
44.32
378
52.16
367
66.36
379
53.04
365
64.50
374
52.33
363
56.17
372
52.24
372
42.11
358
4.17
332
4.82
356
9.60
353
4.65
343
11.11
351
25.25
372
ELAScopylefttwo views34.78
365
20.32
351
38.13
334
21.79
349
14.89
349
57.95
374
37.04
371
51.15
366
51.19
346
60.95
370
64.42
373
59.08
370
54.44
370
51.53
368
46.26
367
12.00
362
7.83
365
10.46
355
8.04
353
14.42
357
13.71
360
A. Geiger, M. Roser, R. Urtasun: Efficient large-scale stereo matching. ACCV 2010
ELAS_RVCcopylefttwo views34.88
366
20.50
352
37.14
333
22.37
353
15.07
350
54.02
367
38.42
373
50.06
364
56.72
362
61.86
375
63.52
369
58.79
369
54.60
371
54.13
375
43.99
365
12.20
363
7.90
366
10.75
356
7.65
351
14.42
357
13.42
359
A. Geiger, M. Roser, R. Urtasun: Efficient large-scale stereo matching. ACCV 2010
SAMSARAtwo views35.29
367
19.78
349
33.90
327
55.86
378
36.15
372
76.79
395
94.89
405
49.29
362
51.59
348
38.15
338
37.83
291
53.71
364
39.29
348
40.56
356
40.41
353
4.02
330
6.72
363
2.35
317
4.12
340
9.70
342
10.76
354
Ntrotwo views35.59
368
38.58
371
55.41
358
43.66
373
22.54
366
57.26
369
23.73
347
47.69
360
63.99
377
39.63
340
48.82
344
47.68
356
37.60
347
41.55
359
30.80
333
17.85
367
6.61
362
33.21
372
10.52
362
26.65
369
17.97
366
BEATNet-Init1two views36.29
369
22.72
357
56.79
361
28.53
362
13.41
347
59.81
378
33.49
366
53.72
371
58.64
365
60.78
369
63.63
370
70.42
380
56.59
374
53.93
374
46.48
369
5.63
341
4.14
354
7.49
348
7.45
350
11.35
352
10.88
355
ACVNet-4btwo views36.91
370
52.81
376
57.04
362
42.64
372
22.08
364
48.32
360
14.64
301
50.28
365
59.78
368
43.17
349
46.34
336
55.50
366
24.49
296
39.03
352
23.55
284
25.75
373
3.76
351
47.36
376
33.76
376
28.62
370
19.22
368
MSC_U_SF_DS_RVCtwo views37.85
371
35.62
368
55.10
356
38.16
368
13.19
346
57.63
372
24.72
350
52.87
370
63.40
376
66.39
379
63.74
371
58.16
367
54.28
369
51.56
369
47.39
371
9.36
352
5.44
358
14.82
360
15.34
368
18.80
364
11.04
357
Consistency-Rafttwo views41.94
372
35.39
367
45.40
344
33.16
366
41.47
376
45.14
357
33.50
367
56.78
376
55.37
356
32.11
317
65.41
376
30.46
279
49.76
366
40.94
358
48.33
374
27.72
374
35.00
377
43.33
375
51.89
385
39.60
375
28.04
373
ACVNet_1two views42.11
373
50.66
374
66.19
374
45.24
375
25.33
368
50.11
362
25.60
353
55.90
373
65.25
378
60.15
368
59.98
366
63.57
376
50.05
367
50.45
367
38.46
347
20.06
370
11.00
369
38.79
374
14.48
367
31.31
372
19.68
370
NVStereoNet_ROBtwo views42.81
374
34.00
366
46.84
346
37.40
367
28.64
370
35.65
338
33.88
369
49.95
363
58.27
363
69.65
382
75.69
387
66.36
379
65.66
380
48.37
365
62.04
387
16.50
366
25.07
374
23.61
366
32.35
374
21.58
367
24.72
371
Nikolai Smolyanskiy, Alexey Kamenev, Stan Birchfield: On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach. Arxiv
RainbowNettwo views51.77
375
63.10
384
65.03
373
60.15
379
39.21
375
59.39
377
31.46
364
57.61
377
78.49
393
50.61
361
66.05
379
59.57
371
45.26
360
50.17
366
42.57
359
46.92
381
45.90
382
53.26
380
32.46
375
54.03
381
34.14
377
anonymitytwo views52.60
376
58.73
378
63.81
368
41.37
371
59.41
386
53.52
365
41.39
374
56.50
375
40.60
306
55.03
366
49.64
346
49.57
358
56.22
373
59.42
377
50.07
376
55.57
384
50.19
388
51.15
378
51.23
383
51.90
377
56.75
385
MADNet+two views53.97
377
69.36
386
98.79
409
67.30
383
38.52
373
79.97
399
81.50
401
61.38
379
62.53
372
52.01
364
55.50
361
61.22
374
59.61
378
70.25
386
77.26
400
25.21
372
25.07
374
17.40
362
12.69
365
34.21
374
29.70
376
JetBluetwo views54.72
378
46.20
373
75.05
384
51.44
376
47.85
377
76.48
394
62.38
387
64.44
381
62.86
373
63.67
378
65.49
377
78.96
387
68.77
381
68.63
384
75.95
399
37.07
375
25.78
376
29.10
370
29.19
373
29.75
371
35.27
378
SGM+DAISYtwo views55.54
379
57.77
377
64.45
371
40.89
370
53.89
380
63.34
381
50.45
380
56.00
374
45.95
328
61.43
373
64.32
372
61.05
373
56.70
375
61.32
379
56.86
381
56.51
385
49.35
386
50.49
377
50.00
382
52.52
378
57.57
386
SPS-STEREOcopylefttwo views56.02
380
59.82
381
64.35
370
45.23
374
53.96
381
61.34
379
44.05
377
60.08
378
50.73
340
62.61
376
61.78
368
59.73
372
57.62
377
60.63
378
59.08
382
58.29
386
48.28
383
51.30
379
49.29
381
55.67
382
56.59
384
K. Yamaguchi, D. McAllester, R. Urtasun: Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation. ECCV 2014
ACVNet_2two views58.13
381
62.74
383
73.58
383
66.59
382
38.77
374
63.23
380
49.56
379
72.12
391
82.24
397
79.37
395
88.96
403
76.25
384
73.29
386
55.14
376
48.05
372
38.17
376
24.21
373
54.92
381
37.94
377
48.23
376
29.29
375
IMH-64-1two views59.89
382
58.89
379
69.08
378
66.46
380
50.96
378
57.48
370
51.18
381
69.03
385
67.25
380
67.90
380
80.31
392
70.42
380
74.30
387
72.66
392
50.07
376
42.88
378
43.00
379
65.88
382
47.48
378
53.41
379
39.15
379
IMH-64two views59.89
382
58.89
379
69.08
378
66.46
380
50.96
378
57.48
370
51.18
381
69.03
385
67.25
380
67.90
380
80.31
392
70.42
380
74.30
387
72.66
392
50.07
376
42.88
378
43.00
379
65.88
382
47.48
378
53.41
379
39.15
379
IMHtwo views63.51
384
61.05
382
69.15
380
69.90
384
54.09
383
65.82
384
55.66
383
72.12
391
72.52
386
72.73
385
81.82
394
73.16
383
79.86
392
77.03
397
52.57
379
44.46
380
50.01
387
68.11
384
51.57
384
56.59
383
41.88
382
TorneroNet-64two views66.18
385
71.37
388
72.19
382
76.80
389
59.54
387
67.82
385
59.56
384
67.83
384
79.98
394
63.09
377
67.00
380
82.98
392
69.97
383
68.02
381
62.78
388
49.03
382
44.17
381
73.23
386
64.19
387
69.14
388
54.83
383
PWCKtwo views66.53
386
88.82
404
80.30
391
80.69
397
30.85
371
65.18
383
41.64
375
72.55
393
71.28
385
78.68
394
69.18
382
78.14
386
62.17
379
82.93
401
63.46
389
80.46
398
40.52
378
82.05
396
47.71
380
74.54
397
39.47
381
WAO-6two views71.06
387
73.42
390
67.24
375
79.78
396
61.93
390
69.67
386
60.23
385
75.12
396
87.02
400
74.87
388
79.60
391
79.28
388
84.75
398
68.25
383
61.91
386
67.67
390
48.98
385
81.65
394
73.43
392
66.76
386
59.64
387
TorneroNettwo views71.59
388
73.91
391
76.67
387
81.06
398
65.65
391
71.44
388
65.68
389
71.66
390
75.08
388
71.76
384
73.09
386
84.12
396
74.51
389
70.46
387
69.58
392
59.87
387
48.58
384
79.93
390
73.78
393
75.74
398
69.18
397
LVEtwo views71.96
389
73.19
389
84.13
394
75.60
387
55.78
385
75.59
391
63.60
388
77.67
397
83.64
398
82.16
396
87.25
402
83.54
394
82.79
397
76.17
395
65.22
390
49.11
383
57.71
394
74.86
388
62.93
386
66.84
387
61.36
388
MFMNet_retwo views72.11
390
79.45
396
64.79
372
52.91
377
84.26
402
78.00
397
69.47
392
64.08
380
67.45
383
61.33
372
71.28
384
64.22
377
69.42
382
72.45
389
61.54
384
81.63
400
73.93
402
80.19
392
74.21
394
83.02
402
88.49
404
WAO-7two views72.48
391
78.58
393
55.84
359
79.20
394
69.56
397
71.30
387
73.06
396
78.20
400
84.37
399
77.52
391
85.78
398
79.44
389
80.26
393
65.93
380
66.47
391
62.13
388
69.81
400
70.46
385
73.18
391
66.66
385
61.95
389
notakertwo views72.59
392
79.99
398
79.75
390
79.06
393
68.60
395
63.66
382
62.15
386
69.61
388
75.78
389
77.77
392
79.16
390
79.92
390
84.80
399
77.69
398
59.73
383
70.15
393
61.03
396
77.65
389
68.69
389
70.81
390
65.81
394
ktntwo views72.86
393
80.20
399
70.88
381
79.38
395
69.76
398
75.01
389
70.17
395
69.27
387
77.21
390
73.05
386
77.79
389
77.79
385
77.01
390
73.04
394
56.44
380
79.36
396
66.31
397
80.24
393
68.37
388
72.53
395
63.45
390
UNDER WATER-64two views73.59
394
75.19
392
88.26
397
74.50
386
55.55
384
78.94
398
76.55
398
65.86
382
68.37
384
75.79
390
69.24
383
84.00
395
77.49
391
69.01
385
73.11
395
81.39
399
57.22
393
82.69
398
80.62
397
69.53
389
68.45
396
LRCNet_RVCtwo views73.95
395
70.63
387
75.65
385
77.92
391
60.69
389
41.66
354
16.24
310
71.26
389
48.66
334
88.23
403
93.84
405
90.11
401
82.18
395
80.69
400
61.88
385
97.09
409
72.20
401
96.71
408
97.62
409
77.99
399
77.70
401
DPSimNet_ROBtwo views74.86
396
83.75
402
61.14
367
77.51
390
65.78
392
76.04
393
75.86
397
74.62
395
77.61
391
82.20
397
75.97
388
80.50
391
72.45
384
68.06
382
84.65
402
81.90
401
52.11
389
79.97
391
76.71
396
70.85
391
79.47
402
UNDER WATERtwo views76.36
397
79.65
397
88.23
396
84.62
399
67.01
393
77.90
396
78.03
399
67.43
383
72.64
387
75.52
389
71.49
385
85.52
397
82.57
396
70.68
388
75.48
398
79.61
397
54.01
390
86.59
402
84.76
401
72.44
394
72.94
399
WAO-8two views77.20
398
78.94
394
67.39
376
86.73
401
72.82
399
79.98
400
69.63
393
77.88
398
88.66
402
83.17
399
86.77
399
85.56
398
85.20
400
72.63
390
69.82
393
75.00
394
55.65
391
87.92
404
83.63
399
71.60
392
64.97
392
Venustwo views77.20
398
78.94
394
67.39
376
86.73
401
72.82
399
79.98
400
69.63
393
77.88
398
88.66
402
83.17
399
86.77
399
85.56
398
85.20
400
72.63
390
69.82
393
75.00
394
55.65
391
87.92
404
83.63
399
71.61
393
64.97
392
HanzoNettwo views77.99
400
81.45
401
83.64
392
78.05
392
69.26
396
75.78
392
69.09
391
73.99
394
78.09
392
82.39
398
83.06
395
85.66
400
87.00
402
86.11
403
74.40
397
85.46
405
68.53
399
81.84
395
75.61
395
73.07
396
67.26
395
JetRedtwo views79.80
401
80.33
400
91.79
399
71.25
385
75.71
401
91.85
404
80.84
400
79.41
401
80.84
395
84.48
401
84.47
397
83.34
393
72.72
385
79.51
399
85.74
403
69.66
392
81.68
403
73.70
387
72.68
390
82.42
401
73.53
400
Deantwo views80.94
402
86.19
403
83.94
393
85.03
400
60.07
388
75.42
390
67.27
390
81.85
402
88.36
401
92.35
404
87.09
401
92.14
403
93.19
404
83.37
402
74.06
396
68.69
391
66.48
398
94.89
407
84.90
402
83.86
403
69.69
398
SPstereotwo views83.66
403
69.17
385
79.52
389
76.33
388
67.79
394
88.06
403
91.78
404
100.00
413
100.00
413
99.12
409
99.11
409
100.00
416
98.10
408
98.44
409
89.22
404
65.98
389
60.50
395
82.46
397
81.00
398
62.47
384
64.12
391
KSHMRtwo views88.63
404
93.05
405
84.15
395
95.59
406
91.74
406
82.94
402
83.28
402
84.59
403
81.87
396
87.85
402
83.96
396
91.71
402
81.49
394
76.73
396
82.12
401
96.47
408
96.06
408
96.71
408
97.16
408
92.74
408
92.47
408
tttwo views89.84
405
1.21
7
99.99
414
99.29
411
100.00
414
100.00
414
100.00
414
100.00
413
99.99
411
78.46
393
68.51
381
99.99
414
100.00
413
100.00
415
100.00
416
95.27
406
99.93
412
87.33
403
86.20
403
94.13
409
86.50
403
xxxxx1two views91.89
406
95.36
407
98.42
406
87.40
403
89.37
403
98.54
407
98.20
409
92.95
404
93.30
405
93.53
405
95.30
406
97.01
405
96.36
405
94.68
404
94.93
405
83.39
402
84.31
404
82.86
399
88.15
404
84.30
404
89.46
405
tt_lltwo views91.89
406
95.36
407
98.42
406
87.40
403
89.37
403
98.54
407
98.20
409
92.95
404
93.30
405
93.53
405
95.30
406
97.01
405
96.36
405
94.68
404
94.93
405
83.39
402
84.31
404
82.86
399
88.15
404
84.30
404
89.46
405
fftwo views91.89
406
95.36
407
98.42
406
87.40
403
89.37
403
98.54
407
98.20
409
92.95
404
93.30
405
93.53
405
95.30
406
97.01
405
96.36
405
94.68
404
94.93
405
83.39
402
84.31
404
82.86
399
88.15
404
84.30
404
89.46
405
MADNet++two views94.07
409
93.58
406
90.62
398
96.24
407
96.57
407
97.26
406
90.52
403
94.64
407
91.89
404
97.09
408
93.64
404
94.65
404
92.81
403
96.06
407
95.06
408
95.31
407
95.85
407
92.44
406
92.08
407
91.00
407
94.17
410
PMLtwo views99.07
410
100.00
415
98.17
405
99.22
410
99.21
410
99.98
413
99.74
412
98.27
409
98.10
408
100.00
415
99.37
410
98.77
409
99.85
411
100.00
415
98.07
410
100.00
413
99.54
409
100.00
412
99.51
411
99.87
412
93.65
409
MEDIAN_ROBtwo views99.20
411
99.85
410
99.64
411
98.51
409
98.53
409
98.60
410
97.88
408
98.83
410
98.59
409
99.35
412
99.47
411
99.57
410
99.05
410
98.38
408
98.37
411
99.99
411
99.63
410
100.00
412
100.00
413
99.82
411
99.92
412
HaxPigtwo views99.40
412
99.99
412
97.53
404
99.99
413
99.99
412
96.91
405
97.19
406
99.57
411
99.99
411
99.98
414
100.00
413
99.99
414
99.96
412
99.06
410
97.86
409
99.99
411
100.00
414
100.00
412
100.00
413
100.00
413
99.98
413
Anonymous_1two views99.63
413
99.96
411
99.94
413
99.77
412
99.59
411
100.00
414
100.00
414
99.81
412
99.98
410
99.63
413
99.94
412
99.75
411
100.00
413
99.67
411
99.89
412
98.37
410
99.84
411
98.70
410
99.26
410
99.29
410
99.24
411
test_example2two views99.67
414
99.99
412
99.99
414
100.00
414
99.99
412
99.87
412
99.99
413
98.01
408
100.00
413
100.00
415
100.00
413
98.18
408
98.43
409
99.98
412
99.98
413
100.00
413
99.99
413
99.40
411
99.52
412
100.00
413
100.00
414
AVERAGE_ROBtwo views99.81
415
99.99
412
99.44
410
100.00
414
100.00
414
99.02
411
97.81
407
100.00
413
100.00
413
100.00
415
100.00
413
100.00
416
100.00
413
100.00
415
100.00
416
100.00
413
100.00
414
100.00
412
100.00
413
100.00
413
100.00
414
DPSMNet_ROBtwo views99.95
416
100.00
415
100.00
416
100.00
414
100.00
414
100.00
414
100.00
414
100.00
413
100.00
413
99.16
410
100.00
413
99.95
412
100.00
413
99.98
412
99.99
414
100.00
413
100.00
414
100.00
412
100.00
413
100.00
413
100.00
414
DGTPSM_ROBtwo views99.95
416
100.00
415
100.00
416
100.00
414
100.00
414
100.00
414
100.00
414
100.00
413
100.00
413
99.16
410
100.00
413
99.95
412
100.00
413
99.98
412
99.99
414
100.00
413
100.00
414
100.00
412
100.00
413
100.00
413
100.00
414
Selective-RAFT-Errortwo views100.00
418
100.00
415
100.00
416
100.00
414
100.00
414
100.00
414
100.00
414
100.00
413
100.00
413
100.00
415
100.00
413
100.00
416
100.00
413
100.00
415
100.00
416
100.00
413
100.00
414
100.00
412
100.00
413
100.00
413
100.00
414
CasAABBNettwo views100.00
418
100.00
415
100.00
416
100.00
414
100.00
414
100.00
414
100.00
414
100.00
413
100.00
413
100.00
415
100.00
413
100.00
416
100.00
413
100.00
415
100.00
416
100.00
413
100.00
414
100.00
412
100.00
413
100.00
413
100.00
414
LSM0two views100.00
418
100.00
415
100.00
416
100.00
414
100.00
414
100.00
414
100.00
414
100.00
413
100.00
413
100.00
415
100.00
413
100.00
416
100.00
413
100.00
415
100.00
416
100.00
413
100.00
414
100.00
412
100.00
413
100.00
413
100.00
414
DPSM_ROBtwo views100.00
418
100.00
415
100.00
416
100.00
414
100.00
414
100.00
414
100.00
414
100.00
413
100.00
413
100.00
415
100.00
413
100.00
416
100.00
413
100.00
415
100.00
416
100.00
413
100.00
414
100.00
412
100.00
413
100.00
413
100.00
414
DPSMtwo views100.00
418
100.00
415
100.00
416
100.00
414
100.00
414
100.00
414
100.00
414
100.00
413
100.00
413
100.00
415
100.00
413
100.00
416
100.00
413
100.00
415
100.00
416
100.00
413
100.00
414
100.00
412
100.00
413
100.00
413
100.00
414