MVS_0304 | | | 99.06 79 | 98.86 87 | 99.66 53 | 99.51 123 | 99.36 75 | 99.22 226 | 99.51 85 | 98.95 24 | 99.58 63 | 99.65 128 | 93.74 226 | 99.98 5 | 99.66 1 | 99.95 6 | 99.64 95 |
|
CANet | | | 99.25 52 | 99.14 51 | 99.59 68 | 99.41 144 | 99.16 94 | 99.35 189 | 99.57 44 | 98.82 35 | 99.51 75 | 99.61 147 | 96.46 118 | 99.95 33 | 99.59 2 | 99.98 2 | 99.65 89 |
|
EI-MVSNet-UG-set | | | 99.58 3 | 99.57 1 | 99.64 62 | 99.78 35 | 99.14 98 | 99.60 84 | 99.45 149 | 99.01 13 | 99.90 1 | 99.83 37 | 98.98 18 | 99.93 55 | 99.59 2 | 99.95 6 | 99.86 5 |
|
DELS-MVS | | | 99.48 17 | 99.42 11 | 99.65 57 | 99.72 68 | 99.40 73 | 99.05 259 | 99.66 25 | 99.14 6 | 99.57 66 | 99.80 64 | 98.46 60 | 99.94 40 | 99.57 4 | 99.84 57 | 99.60 103 |
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023 |
EI-MVSNet-Vis-set | | | 99.58 3 | 99.56 3 | 99.64 62 | 99.78 35 | 99.15 97 | 99.61 82 | 99.45 149 | 99.01 13 | 99.89 2 | 99.82 44 | 99.01 11 | 99.92 63 | 99.56 5 | 99.95 6 | 99.85 8 |
|
HyFIR lowres test | | | 99.11 71 | 98.92 77 | 99.65 57 | 99.90 3 | 99.37 74 | 99.02 268 | 99.91 3 | 97.67 138 | 99.59 62 | 99.75 90 | 95.90 134 | 99.73 159 | 99.53 6 | 99.02 133 | 99.86 5 |
|
VNet | | | 99.11 71 | 98.90 80 | 99.73 45 | 99.52 121 | 99.56 50 | 99.41 167 | 99.39 179 | 99.01 13 | 99.74 29 | 99.78 77 | 95.56 142 | 99.92 63 | 99.52 7 | 98.18 182 | 99.72 70 |
|
xiu_mvs_v1_base_debu | | | 99.29 46 | 99.27 40 | 99.34 105 | 99.63 100 | 98.97 118 | 99.12 242 | 99.51 85 | 98.86 31 | 99.84 8 | 99.47 191 | 98.18 75 | 99.99 1 | 99.50 8 | 99.31 114 | 99.08 165 |
|
xiu_mvs_v1_base | | | 99.29 46 | 99.27 40 | 99.34 105 | 99.63 100 | 98.97 118 | 99.12 242 | 99.51 85 | 98.86 31 | 99.84 8 | 99.47 191 | 98.18 75 | 99.99 1 | 99.50 8 | 99.31 114 | 99.08 165 |
|
xiu_mvs_v1_base_debi | | | 99.29 46 | 99.27 40 | 99.34 105 | 99.63 100 | 98.97 118 | 99.12 242 | 99.51 85 | 98.86 31 | 99.84 8 | 99.47 191 | 98.18 75 | 99.99 1 | 99.50 8 | 99.31 114 | 99.08 165 |
|
CHOSEN 1792x2688 | | | 99.19 55 | 99.10 55 | 99.45 94 | 99.89 8 | 98.52 184 | 99.39 174 | 99.94 1 | 98.73 44 | 99.11 165 | 99.89 10 | 95.50 144 | 99.94 40 | 99.50 8 | 99.97 3 | 99.89 2 |
|
VDD-MVS | | | 97.73 218 | 97.35 230 | 98.88 176 | 99.47 134 | 97.12 235 | 99.34 192 | 98.85 286 | 98.19 76 | 99.67 42 | 99.85 26 | 82.98 329 | 99.92 63 | 99.49 12 | 98.32 172 | 99.60 103 |
|
PVSNet_Blended_VisFu | | | 99.36 38 | 99.28 38 | 99.61 66 | 99.86 20 | 99.07 104 | 99.47 143 | 99.93 2 | 97.66 139 | 99.71 30 | 99.86 22 | 97.73 87 | 99.96 19 | 99.47 13 | 99.82 66 | 99.79 44 |
|
CHOSEN 280x420 | | | 99.12 67 | 99.13 52 | 99.08 134 | 99.66 94 | 97.89 211 | 98.43 317 | 99.71 13 | 98.88 30 | 99.62 55 | 99.76 85 | 96.63 115 | 99.70 175 | 99.46 14 | 99.99 1 | 99.66 86 |
|
Regformer-4 | | | 99.59 2 | 99.54 4 | 99.73 45 | 99.76 43 | 99.41 71 | 99.58 92 | 99.49 104 | 99.02 10 | 99.88 3 | 99.80 64 | 99.00 17 | 99.94 40 | 99.45 15 | 99.92 12 | 99.84 12 |
|
Regformer-3 | | | 99.57 6 | 99.53 5 | 99.68 50 | 99.76 43 | 99.29 82 | 99.58 92 | 99.44 157 | 99.01 13 | 99.87 6 | 99.80 64 | 98.97 19 | 99.91 72 | 99.44 16 | 99.92 12 | 99.83 23 |
|
DeepC-MVS | | 98.35 2 | 99.30 44 | 99.19 47 | 99.64 62 | 99.82 29 | 99.23 89 | 99.62 76 | 99.55 55 | 98.94 26 | 99.63 52 | 99.95 2 | 95.82 137 | 99.94 40 | 99.37 17 | 99.97 3 | 99.73 64 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
alignmvs | | | 98.81 109 | 98.56 122 | 99.58 71 | 99.43 140 | 99.42 70 | 99.51 121 | 98.96 273 | 98.61 50 | 99.35 109 | 98.92 274 | 94.78 180 | 99.77 146 | 99.35 18 | 98.11 191 | 99.54 113 |
|
PS-MVSNAJ | | | 99.32 42 | 99.32 26 | 99.30 113 | 99.57 115 | 98.94 126 | 98.97 281 | 99.46 138 | 98.92 28 | 99.71 30 | 99.24 248 | 99.01 11 | 99.98 5 | 99.35 18 | 99.66 96 | 98.97 179 |
|
VPA-MVSNet | | | 98.29 141 | 97.95 158 | 99.30 113 | 99.16 200 | 99.54 53 | 99.50 126 | 99.58 43 | 98.27 71 | 99.35 109 | 99.37 218 | 92.53 250 | 99.65 184 | 99.35 18 | 94.46 283 | 98.72 207 |
|
mvs_anonymous | | | 99.03 84 | 98.99 68 | 99.16 128 | 99.38 152 | 98.52 184 | 99.51 121 | 99.38 185 | 97.79 124 | 99.38 100 | 99.81 53 | 97.30 97 | 99.45 205 | 99.35 18 | 98.99 135 | 99.51 121 |
|
xiu_mvs_v2_base | | | 99.26 51 | 99.25 44 | 99.29 116 | 99.53 120 | 98.91 131 | 99.02 268 | 99.45 149 | 98.80 39 | 99.71 30 | 99.26 246 | 98.94 25 | 99.98 5 | 99.34 22 | 99.23 118 | 98.98 178 |
|
nrg030 | | | 98.64 125 | 98.42 127 | 99.28 118 | 99.05 220 | 99.69 30 | 99.81 15 | 99.46 138 | 98.04 99 | 99.01 183 | 99.82 44 | 96.69 114 | 99.38 216 | 99.34 22 | 94.59 282 | 98.78 196 |
|
UGNet | | | 98.87 97 | 98.69 105 | 99.40 102 | 99.22 185 | 98.72 164 | 99.44 151 | 99.68 19 | 99.24 3 | 99.18 157 | 99.42 202 | 92.74 241 | 99.96 19 | 99.34 22 | 99.94 10 | 99.53 117 |
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022 |
mvs_tets | | | 98.40 135 | 98.23 138 | 98.91 163 | 98.67 287 | 98.51 186 | 99.66 59 | 99.53 72 | 98.19 76 | 98.65 236 | 99.81 53 | 92.75 239 | 99.44 210 | 99.31 25 | 97.48 218 | 98.77 199 |
|
VDDNet | | | 97.55 234 | 97.02 249 | 99.16 128 | 99.49 130 | 98.12 203 | 99.38 179 | 99.30 222 | 95.35 272 | 99.68 36 | 99.90 7 | 82.62 331 | 99.93 55 | 99.31 25 | 98.13 189 | 99.42 140 |
|
LFMVS | | | 97.90 191 | 97.35 230 | 99.54 75 | 99.52 121 | 99.01 111 | 99.39 174 | 98.24 321 | 97.10 188 | 99.65 50 | 99.79 72 | 84.79 325 | 99.91 72 | 99.28 27 | 98.38 170 | 99.69 78 |
|
MSLP-MVS++ | | | 99.46 21 | 99.47 8 | 99.44 97 | 99.60 110 | 99.16 94 | 99.41 167 | 99.71 13 | 98.98 19 | 99.45 84 | 99.78 77 | 99.19 4 | 99.54 200 | 99.28 27 | 99.84 57 | 99.63 99 |
|
canonicalmvs | | | 99.02 85 | 98.86 87 | 99.51 85 | 99.42 141 | 99.32 78 | 99.80 19 | 99.48 113 | 98.63 48 | 99.31 115 | 98.81 283 | 97.09 101 | 99.75 150 | 99.27 29 | 97.90 197 | 99.47 131 |
|
EPNet | | | 98.86 100 | 98.71 103 | 99.30 113 | 97.20 318 | 98.18 199 | 99.62 76 | 98.91 280 | 99.28 2 | 98.63 238 | 99.81 53 | 95.96 129 | 99.99 1 | 99.24 30 | 99.72 84 | 99.73 64 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
jajsoiax | | | 98.43 132 | 98.28 136 | 98.88 176 | 98.60 292 | 98.43 191 | 99.82 13 | 99.53 72 | 98.19 76 | 98.63 238 | 99.80 64 | 93.22 231 | 99.44 210 | 99.22 31 | 97.50 214 | 98.77 199 |
|
APDe-MVS | | | 99.66 1 | 99.57 1 | 99.92 1 | 99.77 40 | 99.89 1 | 99.75 34 | 99.56 48 | 99.02 10 | 99.88 3 | 99.85 26 | 99.18 5 | 99.96 19 | 99.22 31 | 99.92 12 | 99.90 1 |
|
VPNet | | | 97.84 197 | 97.44 218 | 99.01 141 | 99.21 186 | 98.94 126 | 99.48 139 | 99.57 44 | 98.38 64 | 99.28 124 | 99.73 98 | 88.89 299 | 99.39 215 | 99.19 33 | 93.27 300 | 98.71 209 |
|
sss | | | 99.17 58 | 99.05 58 | 99.53 79 | 99.62 104 | 98.97 118 | 99.36 185 | 99.62 31 | 97.83 119 | 99.67 42 | 99.65 128 | 97.37 96 | 99.95 33 | 99.19 33 | 99.19 121 | 99.68 82 |
|
Vis-MVSNet | | | 99.12 67 | 98.97 71 | 99.56 74 | 99.78 35 | 99.10 101 | 99.68 54 | 99.66 25 | 98.49 56 | 99.86 7 | 99.87 19 | 94.77 184 | 99.84 115 | 99.19 33 | 99.41 108 | 99.74 59 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
Regformer-1 | | | 99.53 9 | 99.47 8 | 99.72 47 | 99.71 73 | 99.44 68 | 99.49 134 | 99.46 138 | 98.95 24 | 99.83 11 | 99.76 85 | 99.01 11 | 99.93 55 | 99.17 36 | 99.87 38 | 99.80 40 |
|
ab-mvs | | | 98.86 100 | 98.63 112 | 99.54 75 | 99.64 97 | 99.19 91 | 99.44 151 | 99.54 62 | 97.77 126 | 99.30 116 | 99.81 53 | 94.20 207 | 99.93 55 | 99.17 36 | 98.82 150 | 99.49 125 |
|
Regformer-2 | | | 99.54 7 | 99.47 8 | 99.75 38 | 99.71 73 | 99.52 59 | 99.49 134 | 99.49 104 | 98.94 26 | 99.83 11 | 99.76 85 | 99.01 11 | 99.94 40 | 99.15 38 | 99.87 38 | 99.80 40 |
|
PS-MVSNAJss | | | 98.92 95 | 98.92 77 | 98.90 167 | 98.78 272 | 98.53 181 | 99.78 22 | 99.54 62 | 98.07 93 | 99.00 190 | 99.76 85 | 99.01 11 | 99.37 219 | 99.13 39 | 97.23 229 | 98.81 193 |
|
EPP-MVSNet | | | 99.13 62 | 98.99 68 | 99.53 79 | 99.65 96 | 99.06 105 | 99.81 15 | 99.33 213 | 97.43 157 | 99.60 59 | 99.88 14 | 97.14 100 | 99.84 115 | 99.13 39 | 98.94 140 | 99.69 78 |
|
Effi-MVS+ | | | 98.81 109 | 98.59 120 | 99.48 88 | 99.46 135 | 99.12 100 | 98.08 327 | 99.50 99 | 97.50 151 | 99.38 100 | 99.41 205 | 96.37 121 | 99.81 135 | 99.11 41 | 98.54 163 | 99.51 121 |
|
TSAR-MVS + GP. | | | 99.36 38 | 99.36 19 | 99.36 104 | 99.67 84 | 98.61 177 | 99.07 253 | 99.33 213 | 99.00 17 | 99.82 14 | 99.81 53 | 99.06 8 | 99.84 115 | 99.09 42 | 99.42 107 | 99.65 89 |
|
FIs | | | 98.78 113 | 98.63 112 | 99.23 124 | 99.18 193 | 99.54 53 | 99.83 12 | 99.59 38 | 98.28 70 | 98.79 214 | 99.81 53 | 96.75 112 | 99.37 219 | 99.08 43 | 96.38 244 | 98.78 196 |
|
FC-MVSNet-test | | | 98.75 116 | 98.62 115 | 99.15 130 | 99.08 214 | 99.45 67 | 99.86 8 | 99.60 35 | 98.23 75 | 98.70 227 | 99.82 44 | 96.80 108 | 99.22 257 | 99.07 44 | 96.38 244 | 98.79 195 |
|
HPM-MVS_fast | | | 99.51 12 | 99.40 14 | 99.85 17 | 99.91 1 | 99.79 17 | 99.76 27 | 99.56 48 | 97.72 132 | 99.76 27 | 99.75 90 | 99.13 6 | 99.92 63 | 99.07 44 | 99.92 12 | 99.85 8 |
|
MVSFormer | | | 99.17 58 | 99.12 53 | 99.29 116 | 99.51 123 | 98.94 126 | 99.88 1 | 99.46 138 | 97.55 146 | 99.80 16 | 99.65 128 | 97.39 93 | 99.28 242 | 99.03 46 | 99.85 52 | 99.65 89 |
|
test_djsdf | | | 98.67 122 | 98.57 121 | 98.98 145 | 98.70 283 | 98.91 131 | 99.88 1 | 99.46 138 | 97.55 146 | 99.22 147 | 99.88 14 | 95.73 140 | 99.28 242 | 99.03 46 | 97.62 204 | 98.75 202 |
|
jason | | | 99.13 62 | 99.03 63 | 99.45 94 | 99.46 135 | 98.87 134 | 99.12 242 | 99.26 239 | 98.03 101 | 99.79 18 | 99.65 128 | 97.02 103 | 99.85 109 | 99.02 48 | 99.90 24 | 99.65 89 |
jason: jason. |
DeepPCF-MVS | | 98.18 3 | 98.81 109 | 99.37 17 | 97.12 292 | 99.60 110 | 91.75 320 | 98.61 310 | 99.44 157 | 99.35 1 | 99.83 11 | 99.85 26 | 98.70 49 | 99.81 135 | 99.02 48 | 99.91 17 | 99.81 35 |
|
CSCG | | | 99.32 42 | 99.32 26 | 99.32 109 | 99.85 23 | 98.29 195 | 99.71 41 | 99.66 25 | 98.11 86 | 99.41 93 | 99.80 64 | 98.37 68 | 99.96 19 | 98.99 50 | 99.96 5 | 99.72 70 |
|
PVSNet_BlendedMVS | | | 98.86 100 | 98.80 94 | 99.03 139 | 99.76 43 | 98.79 157 | 99.28 206 | 99.91 3 | 97.42 159 | 99.67 42 | 99.37 218 | 97.53 90 | 99.88 99 | 98.98 51 | 97.29 228 | 98.42 284 |
|
PVSNet_Blended | | | 99.08 77 | 98.97 71 | 99.42 101 | 99.76 43 | 98.79 157 | 98.78 299 | 99.91 3 | 96.74 207 | 99.67 42 | 99.49 181 | 97.53 90 | 99.88 99 | 98.98 51 | 99.85 52 | 99.60 103 |
|
3Dnovator | | 97.25 9 | 99.24 53 | 99.05 58 | 99.81 27 | 99.12 206 | 99.66 35 | 99.84 9 | 99.74 10 | 99.09 8 | 98.92 198 | 99.90 7 | 95.94 132 | 99.98 5 | 98.95 53 | 99.92 12 | 99.79 44 |
|
lupinMVS | | | 99.13 62 | 99.01 67 | 99.46 93 | 99.51 123 | 98.94 126 | 99.05 259 | 99.16 250 | 97.86 114 | 99.80 16 | 99.56 161 | 97.39 93 | 99.86 104 | 98.94 54 | 99.85 52 | 99.58 109 |
|
UA-Net | | | 99.42 29 | 99.29 36 | 99.80 29 | 99.62 104 | 99.55 52 | 99.50 126 | 99.70 15 | 98.79 40 | 99.77 23 | 99.96 1 | 97.45 92 | 99.96 19 | 98.92 55 | 99.90 24 | 99.89 2 |
|
MVS_111021_HR | | | 99.41 32 | 99.32 26 | 99.66 53 | 99.72 68 | 99.47 65 | 98.95 287 | 99.85 6 | 98.82 35 | 99.54 70 | 99.73 98 | 98.51 57 | 99.74 151 | 98.91 56 | 99.88 34 | 99.77 50 |
|
MPTG | | | 99.49 13 | 99.36 19 | 99.89 2 | 99.90 3 | 99.86 3 | 99.36 185 | 99.47 128 | 98.79 40 | 99.68 36 | 99.81 53 | 98.43 62 | 99.97 11 | 98.88 57 | 99.90 24 | 99.83 23 |
|
MTAPA | | | 99.52 11 | 99.39 15 | 99.89 2 | 99.90 3 | 99.86 3 | 99.66 59 | 99.47 128 | 98.79 40 | 99.68 36 | 99.81 53 | 98.43 62 | 99.97 11 | 98.88 57 | 99.90 24 | 99.83 23 |
|
XXY-MVS | | | 98.38 136 | 98.09 146 | 99.24 122 | 99.26 180 | 99.32 78 | 99.56 105 | 99.55 55 | 97.45 156 | 98.71 221 | 99.83 37 | 93.23 230 | 99.63 191 | 98.88 57 | 96.32 246 | 98.76 201 |
|
ACMH | | 97.28 8 | 98.10 158 | 97.99 155 | 98.44 227 | 99.41 144 | 96.96 251 | 99.60 84 | 99.56 48 | 98.09 89 | 98.15 262 | 99.91 5 | 90.87 282 | 99.70 175 | 98.88 57 | 97.45 219 | 98.67 234 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
MVS_Test | | | 99.10 74 | 98.97 71 | 99.48 88 | 99.49 130 | 99.14 98 | 99.67 56 | 99.34 205 | 97.31 167 | 99.58 63 | 99.76 85 | 97.65 89 | 99.82 131 | 98.87 61 | 99.07 130 | 99.46 134 |
|
MVSTER | | | 98.49 128 | 98.32 133 | 99.00 143 | 99.35 157 | 99.02 109 | 99.54 113 | 99.38 185 | 97.41 160 | 99.20 152 | 99.73 98 | 93.86 221 | 99.36 223 | 98.87 61 | 97.56 209 | 98.62 258 |
|
1112_ss | | | 98.98 90 | 98.77 97 | 99.59 68 | 99.68 83 | 99.02 109 | 99.25 219 | 99.48 113 | 97.23 175 | 99.13 161 | 99.58 155 | 96.93 106 | 99.90 84 | 98.87 61 | 98.78 153 | 99.84 12 |
|
3Dnovator+ | | 97.12 13 | 99.18 57 | 98.97 71 | 99.82 24 | 99.17 198 | 99.68 31 | 99.81 15 | 99.51 85 | 99.20 4 | 98.72 220 | 99.89 10 | 95.68 141 | 99.97 11 | 98.86 64 | 99.86 48 | 99.81 35 |
|
WTY-MVS | | | 99.06 79 | 98.88 83 | 99.61 66 | 99.62 104 | 99.16 94 | 99.37 181 | 99.56 48 | 98.04 99 | 99.53 71 | 99.62 144 | 96.84 107 | 99.94 40 | 98.85 65 | 98.49 166 | 99.72 70 |
|
TSAR-MVS + MP. | | | 99.58 3 | 99.50 7 | 99.81 27 | 99.91 1 | 99.66 35 | 99.63 73 | 99.39 179 | 98.91 29 | 99.78 22 | 99.85 26 | 99.36 2 | 99.94 40 | 98.84 66 | 99.88 34 | 99.82 31 |
|
114514_t | | | 98.93 94 | 98.67 107 | 99.72 47 | 99.85 23 | 99.53 56 | 99.62 76 | 99.59 38 | 92.65 310 | 99.71 30 | 99.78 77 | 98.06 79 | 99.90 84 | 98.84 66 | 99.91 17 | 99.74 59 |
|
MP-MVS-pluss | | | 99.37 37 | 99.20 46 | 99.88 4 | 99.90 3 | 99.87 2 | 99.30 199 | 99.52 76 | 97.18 178 | 99.60 59 | 99.79 72 | 98.79 36 | 99.95 33 | 98.83 68 | 99.91 17 | 99.83 23 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
Test_1112_low_res | | | 98.89 96 | 98.66 110 | 99.57 72 | 99.69 80 | 98.95 123 | 99.03 265 | 99.47 128 | 96.98 195 | 99.15 160 | 99.23 249 | 96.77 111 | 99.89 92 | 98.83 68 | 98.78 153 | 99.86 5 |
|
MVS_111021_LR | | | 99.41 32 | 99.33 25 | 99.65 57 | 99.77 40 | 99.51 61 | 98.94 289 | 99.85 6 | 98.82 35 | 99.65 50 | 99.74 95 | 98.51 57 | 99.80 139 | 98.83 68 | 99.89 32 | 99.64 95 |
|
ACMMP_Plus | | | 99.47 20 | 99.34 24 | 99.88 4 | 99.87 15 | 99.86 3 | 99.47 143 | 99.48 113 | 98.05 98 | 99.76 27 | 99.86 22 | 98.82 33 | 99.93 55 | 98.82 71 | 99.91 17 | 99.84 12 |
|
XVS | | | 99.53 9 | 99.42 11 | 99.87 6 | 99.85 23 | 99.83 7 | 99.69 45 | 99.68 19 | 98.98 19 | 99.37 102 | 99.74 95 | 98.81 34 | 99.94 40 | 98.79 72 | 99.86 48 | 99.84 12 |
|
X-MVStestdata | | | 96.55 261 | 95.45 282 | 99.87 6 | 99.85 23 | 99.83 7 | 99.69 45 | 99.68 19 | 98.98 19 | 99.37 102 | 64.01 346 | 98.81 34 | 99.94 40 | 98.79 72 | 99.86 48 | 99.84 12 |
|
CVMVSNet | | | 98.57 127 | 98.67 107 | 98.30 237 | 99.35 157 | 95.59 282 | 99.50 126 | 99.55 55 | 98.60 51 | 99.39 98 | 99.83 37 | 94.48 198 | 99.45 205 | 98.75 74 | 98.56 162 | 99.85 8 |
|
CP-MVS | | | 99.45 22 | 99.32 26 | 99.85 17 | 99.83 28 | 99.75 22 | 99.69 45 | 99.52 76 | 98.07 93 | 99.53 71 | 99.63 139 | 98.93 26 | 99.97 11 | 98.74 75 | 99.91 17 | 99.83 23 |
|
ACMM | | 97.58 5 | 98.37 137 | 98.34 131 | 98.48 220 | 99.41 144 | 97.10 236 | 99.56 105 | 99.45 149 | 98.53 54 | 99.04 180 | 99.85 26 | 93.00 233 | 99.71 169 | 98.74 75 | 97.45 219 | 98.64 250 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
Effi-MVS+-dtu | | | 98.78 113 | 98.89 82 | 98.47 222 | 99.33 161 | 96.91 253 | 99.57 98 | 99.30 222 | 98.47 57 | 99.41 93 | 98.99 268 | 96.78 109 | 99.74 151 | 98.73 77 | 99.38 109 | 98.74 205 |
|
mvs-test1 | | | 98.86 100 | 98.84 90 | 98.89 169 | 99.33 161 | 97.77 221 | 99.44 151 | 99.30 222 | 98.47 57 | 99.10 168 | 99.43 200 | 96.78 109 | 99.95 33 | 98.73 77 | 99.02 133 | 98.96 181 |
|
SD-MVS | | | 99.41 32 | 99.52 6 | 99.05 138 | 99.74 60 | 99.68 31 | 99.46 146 | 99.52 76 | 99.11 7 | 99.88 3 | 99.91 5 | 99.43 1 | 97.70 320 | 98.72 79 | 99.93 11 | 99.77 50 |
|
CDS-MVSNet | | | 99.09 75 | 99.03 63 | 99.25 119 | 99.42 141 | 98.73 162 | 99.45 147 | 99.46 138 | 98.11 86 | 99.46 83 | 99.77 82 | 98.01 80 | 99.37 219 | 98.70 80 | 98.92 143 | 99.66 86 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
TAMVS | | | 99.12 67 | 99.08 56 | 99.24 122 | 99.46 135 | 98.55 179 | 99.51 121 | 99.46 138 | 98.09 89 | 99.45 84 | 99.82 44 | 98.34 69 | 99.51 201 | 98.70 80 | 98.93 141 | 99.67 85 |
|
HFP-MVS | | | 99.49 13 | 99.37 17 | 99.86 12 | 99.87 15 | 99.80 13 | 99.66 59 | 99.67 22 | 98.15 80 | 99.68 36 | 99.69 112 | 99.06 8 | 99.96 19 | 98.69 82 | 99.87 38 | 99.84 12 |
|
ACMMPR | | | 99.49 13 | 99.36 19 | 99.86 12 | 99.87 15 | 99.79 17 | 99.66 59 | 99.67 22 | 98.15 80 | 99.67 42 | 99.69 112 | 98.95 24 | 99.96 19 | 98.69 82 | 99.87 38 | 99.84 12 |
|
DeepC-MVS_fast | | 98.69 1 | 99.49 13 | 99.39 15 | 99.77 35 | 99.63 100 | 99.59 47 | 99.36 185 | 99.46 138 | 99.07 9 | 99.79 18 | 99.82 44 | 98.85 31 | 99.92 63 | 98.68 84 | 99.87 38 | 99.82 31 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
anonymousdsp | | | 98.44 131 | 98.28 136 | 98.94 151 | 98.50 297 | 98.96 122 | 99.77 24 | 99.50 99 | 97.07 189 | 98.87 204 | 99.77 82 | 94.76 185 | 99.28 242 | 98.66 85 | 97.60 205 | 98.57 275 |
|
DP-MVS | | | 99.16 60 | 98.95 75 | 99.78 33 | 99.77 40 | 99.53 56 | 99.41 167 | 99.50 99 | 97.03 193 | 99.04 180 | 99.88 14 | 97.39 93 | 99.92 63 | 98.66 85 | 99.90 24 | 99.87 4 |
|
MCST-MVS | | | 99.43 27 | 99.30 33 | 99.82 24 | 99.79 34 | 99.74 25 | 99.29 203 | 99.40 176 | 98.79 40 | 99.52 73 | 99.62 144 | 98.91 27 | 99.90 84 | 98.64 87 | 99.75 78 | 99.82 31 |
|
CP-MVSNet | | | 98.09 159 | 97.78 174 | 99.01 141 | 98.97 234 | 99.24 88 | 99.67 56 | 99.46 138 | 97.25 172 | 98.48 247 | 99.64 135 | 93.79 222 | 99.06 274 | 98.63 88 | 94.10 290 | 98.74 205 |
|
DI_MVS_plusplus_test | | | 97.45 244 | 96.79 253 | 99.44 97 | 97.76 309 | 99.04 107 | 99.21 229 | 98.61 313 | 97.74 130 | 94.01 311 | 98.83 281 | 87.38 316 | 99.83 122 | 98.63 88 | 98.90 145 | 99.44 137 |
|
region2R | | | 99.48 17 | 99.35 22 | 99.87 6 | 99.88 11 | 99.80 13 | 99.65 69 | 99.66 25 | 98.13 82 | 99.66 47 | 99.68 117 | 98.96 20 | 99.96 19 | 98.62 90 | 99.87 38 | 99.84 12 |
|
APD-MVS_3200maxsize | | | 99.48 17 | 99.35 22 | 99.85 17 | 99.76 43 | 99.83 7 | 99.63 73 | 99.54 62 | 98.36 65 | 99.79 18 | 99.82 44 | 98.86 30 | 99.95 33 | 98.62 90 | 99.81 67 | 99.78 48 |
|
test_normal | | | 97.44 245 | 96.77 255 | 99.44 97 | 97.75 310 | 99.00 113 | 99.10 250 | 98.64 310 | 97.71 133 | 93.93 314 | 98.82 282 | 87.39 315 | 99.83 122 | 98.61 92 | 98.97 137 | 99.49 125 |
|
PHI-MVS | | | 99.30 44 | 99.17 49 | 99.70 49 | 99.56 118 | 99.52 59 | 99.58 92 | 99.80 8 | 97.12 184 | 99.62 55 | 99.73 98 | 98.58 56 | 99.90 84 | 98.61 92 | 99.91 17 | 99.68 82 |
|
CNVR-MVS | | | 99.42 29 | 99.30 33 | 99.78 33 | 99.62 104 | 99.71 27 | 99.26 217 | 99.52 76 | 98.82 35 | 99.39 98 | 99.71 103 | 98.96 20 | 99.85 109 | 98.59 94 | 99.80 69 | 99.77 50 |
|
WR-MVS | | | 98.06 161 | 97.73 185 | 99.06 136 | 98.86 262 | 99.25 87 | 99.19 232 | 99.35 197 | 97.30 168 | 98.66 230 | 99.43 200 | 93.94 217 | 99.21 261 | 98.58 95 | 94.28 286 | 98.71 209 |
|
HPM-MVS | | | 99.42 29 | 99.28 38 | 99.83 22 | 99.90 3 | 99.72 26 | 99.81 15 | 99.54 62 | 97.59 141 | 99.68 36 | 99.63 139 | 98.91 27 | 99.94 40 | 98.58 95 | 99.91 17 | 99.84 12 |
|
UniMVSNet_NR-MVSNet | | | 98.22 144 | 97.97 156 | 98.96 148 | 98.92 249 | 98.98 115 | 99.48 139 | 99.53 72 | 97.76 127 | 98.71 221 | 99.46 195 | 96.43 120 | 99.22 257 | 98.57 97 | 92.87 305 | 98.69 218 |
|
DU-MVS | | | 98.08 160 | 97.79 172 | 98.96 148 | 98.87 259 | 98.98 115 | 99.41 167 | 99.45 149 | 97.87 113 | 98.71 221 | 99.50 178 | 94.82 177 | 99.22 257 | 98.57 97 | 92.87 305 | 98.68 223 |
|
mPP-MVS | | | 99.44 25 | 99.30 33 | 99.86 12 | 99.88 11 | 99.79 17 | 99.69 45 | 99.48 113 | 98.12 84 | 99.50 76 | 99.75 90 | 98.78 37 | 99.97 11 | 98.57 97 | 99.89 32 | 99.83 23 |
|
CANet_DTU | | | 98.97 92 | 98.87 84 | 99.25 119 | 99.33 161 | 98.42 193 | 99.08 252 | 99.30 222 | 99.16 5 | 99.43 88 | 99.75 90 | 95.27 150 | 99.97 11 | 98.56 100 | 99.95 6 | 99.36 145 |
|
PMMVS | | | 98.80 112 | 98.62 115 | 99.34 105 | 99.27 178 | 98.70 165 | 98.76 301 | 99.31 220 | 97.34 164 | 99.21 149 | 99.07 261 | 97.20 99 | 99.82 131 | 98.56 100 | 98.87 147 | 99.52 118 |
|
PVSNet | | 96.02 17 | 98.85 106 | 98.84 90 | 98.89 169 | 99.73 65 | 97.28 228 | 98.32 321 | 99.60 35 | 97.86 114 | 99.50 76 | 99.57 159 | 96.75 112 | 99.86 104 | 98.56 100 | 99.70 90 | 99.54 113 |
|
PatchFormer-LS_test | | | 98.01 175 | 98.05 150 | 97.87 271 | 99.15 203 | 94.76 299 | 99.42 163 | 98.93 275 | 97.12 184 | 98.84 210 | 98.59 294 | 93.74 226 | 99.80 139 | 98.55 103 | 98.17 187 | 99.06 170 |
|
ACMMP | | | 99.45 22 | 99.32 26 | 99.82 24 | 99.89 8 | 99.67 33 | 99.62 76 | 99.69 18 | 98.12 84 | 99.63 52 | 99.84 35 | 98.73 47 | 99.96 19 | 98.55 103 | 99.83 62 | 99.81 35 |
Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence |
XVG-OURS-SEG-HR | | | 98.69 120 | 98.62 115 | 98.89 169 | 99.71 73 | 97.74 222 | 99.12 242 | 99.54 62 | 98.44 62 | 99.42 91 | 99.71 103 | 94.20 207 | 99.92 63 | 98.54 105 | 98.90 145 | 99.00 175 |
|
PS-CasMVS | | | 97.93 186 | 97.59 199 | 98.95 150 | 98.99 227 | 99.06 105 | 99.68 54 | 99.52 76 | 97.13 182 | 98.31 256 | 99.68 117 | 92.44 256 | 99.05 275 | 98.51 106 | 94.08 291 | 98.75 202 |
|
CostFormer | | | 97.72 220 | 97.73 185 | 97.71 282 | 99.15 203 | 94.02 306 | 99.54 113 | 99.02 267 | 94.67 280 | 99.04 180 | 99.35 229 | 92.35 258 | 99.77 146 | 98.50 107 | 97.94 196 | 99.34 147 |
|
SteuartSystems-ACMMP | | | 99.54 7 | 99.42 11 | 99.87 6 | 99.82 29 | 99.81 12 | 99.59 86 | 99.51 85 | 98.62 49 | 99.79 18 | 99.83 37 | 99.28 3 | 99.97 11 | 98.48 108 | 99.90 24 | 99.84 12 |
Skip Steuart: Steuart Systems R&D Blog. |
tpmrst | | | 98.33 138 | 98.48 125 | 97.90 270 | 99.16 200 | 94.78 298 | 99.31 197 | 99.11 255 | 97.27 170 | 99.45 84 | 99.59 152 | 95.33 147 | 99.84 115 | 98.48 108 | 98.61 156 | 99.09 164 |
|
IB-MVS | | 95.67 18 | 96.22 275 | 95.44 283 | 98.57 211 | 99.21 186 | 96.70 259 | 98.65 309 | 97.74 331 | 96.71 209 | 97.27 282 | 98.54 296 | 86.03 319 | 99.92 63 | 98.47 110 | 86.30 330 | 99.10 160 |
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021 |
HSP-MVS | | | 99.41 32 | 99.26 43 | 99.85 17 | 99.89 8 | 99.80 13 | 99.67 56 | 99.37 192 | 98.70 45 | 99.77 23 | 99.49 181 | 98.21 74 | 99.95 33 | 98.46 111 | 99.77 75 | 99.81 35 |
|
abl_6 | | | 99.44 25 | 99.31 31 | 99.83 22 | 99.85 23 | 99.75 22 | 99.66 59 | 99.59 38 | 98.13 82 | 99.82 14 | 99.81 53 | 98.60 55 | 99.96 19 | 98.46 111 | 99.88 34 | 99.79 44 |
|
HPM-MVS++ | | | 99.39 36 | 99.23 45 | 99.87 6 | 99.75 49 | 99.84 6 | 99.43 156 | 99.51 85 | 98.68 47 | 99.27 128 | 99.53 168 | 98.64 53 | 99.96 19 | 98.44 113 | 99.80 69 | 99.79 44 |
|
#test# | | | 99.43 27 | 99.29 36 | 99.86 12 | 99.87 15 | 99.80 13 | 99.55 110 | 99.67 22 | 97.83 119 | 99.68 36 | 99.69 112 | 99.06 8 | 99.96 19 | 98.39 114 | 99.87 38 | 99.84 12 |
|
LTVRE_ROB | | 97.16 12 | 98.02 172 | 97.90 161 | 98.40 230 | 99.23 183 | 96.80 257 | 99.70 42 | 99.60 35 | 97.12 184 | 98.18 261 | 99.70 106 | 91.73 270 | 99.72 163 | 98.39 114 | 97.45 219 | 98.68 223 |
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016 |
EI-MVSNet | | | 98.67 122 | 98.67 107 | 98.68 203 | 99.35 157 | 97.97 207 | 99.50 126 | 99.38 185 | 96.93 199 | 99.20 152 | 99.83 37 | 97.87 82 | 99.36 223 | 98.38 116 | 97.56 209 | 98.71 209 |
|
HY-MVS | | 97.30 7 | 98.85 106 | 98.64 111 | 99.47 91 | 99.42 141 | 99.08 103 | 99.62 76 | 99.36 193 | 97.39 162 | 99.28 124 | 99.68 117 | 96.44 119 | 99.92 63 | 98.37 117 | 98.22 178 | 99.40 142 |
|
TDRefinement | | | 95.42 286 | 94.57 291 | 97.97 265 | 89.83 337 | 96.11 276 | 99.48 139 | 98.75 295 | 96.74 207 | 96.68 291 | 99.88 14 | 88.65 304 | 99.71 169 | 98.37 117 | 82.74 333 | 98.09 295 |
|
UniMVSNet (Re) | | | 98.29 141 | 98.00 154 | 99.13 132 | 99.00 226 | 99.36 75 | 99.49 134 | 99.51 85 | 97.95 108 | 98.97 193 | 99.13 256 | 96.30 123 | 99.38 216 | 98.36 119 | 93.34 299 | 98.66 245 |
|
WR-MVS_H | | | 98.13 153 | 97.87 166 | 98.90 167 | 99.02 224 | 98.84 138 | 99.70 42 | 99.59 38 | 97.27 170 | 98.40 250 | 99.19 252 | 95.53 143 | 99.23 254 | 98.34 120 | 93.78 296 | 98.61 267 |
|
PGM-MVS | | | 99.45 22 | 99.31 31 | 99.86 12 | 99.87 15 | 99.78 21 | 99.58 92 | 99.65 30 | 97.84 118 | 99.71 30 | 99.80 64 | 99.12 7 | 99.97 11 | 98.33 121 | 99.87 38 | 99.83 23 |
|
LS3D | | | 99.27 49 | 99.12 53 | 99.74 43 | 99.18 193 | 99.75 22 | 99.56 105 | 99.57 44 | 98.45 59 | 99.49 79 | 99.85 26 | 97.77 86 | 99.94 40 | 98.33 121 | 99.84 57 | 99.52 118 |
|
IterMVS-LS | | | 98.46 130 | 98.42 127 | 98.58 210 | 99.59 112 | 98.00 205 | 99.37 181 | 99.43 165 | 96.94 198 | 99.07 174 | 99.59 152 | 97.87 82 | 99.03 278 | 98.32 123 | 95.62 257 | 98.71 209 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
CLD-MVS | | | 98.16 151 | 98.10 144 | 98.33 234 | 99.29 173 | 96.82 256 | 98.75 302 | 99.44 157 | 97.83 119 | 99.13 161 | 99.55 164 | 92.92 235 | 99.67 180 | 98.32 123 | 97.69 201 | 98.48 280 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
NCCC | | | 99.34 40 | 99.19 47 | 99.79 32 | 99.61 108 | 99.65 38 | 99.30 199 | 99.48 113 | 98.86 31 | 99.21 149 | 99.63 139 | 98.72 48 | 99.90 84 | 98.25 125 | 99.63 101 | 99.80 40 |
|
testing_2 | | | 94.44 294 | 92.93 300 | 98.98 145 | 94.16 328 | 99.00 113 | 99.42 163 | 99.28 233 | 96.60 218 | 84.86 331 | 96.84 325 | 70.91 334 | 99.27 245 | 98.23 126 | 96.08 250 | 98.68 223 |
|
旧先验2 | | | | | | | | 98.96 283 | | 96.70 210 | 99.47 81 | | | 99.94 40 | 98.19 127 | | |
|
F-COLMAP | | | 99.19 55 | 99.04 61 | 99.64 62 | 99.78 35 | 99.27 85 | 99.42 163 | 99.54 62 | 97.29 169 | 99.41 93 | 99.59 152 | 98.42 65 | 99.93 55 | 98.19 127 | 99.69 91 | 99.73 64 |
|
LCM-MVSNet-Re | | | 97.83 199 | 98.15 140 | 96.87 297 | 99.30 170 | 92.25 319 | 99.59 86 | 98.26 320 | 97.43 157 | 96.20 295 | 99.13 256 | 96.27 124 | 98.73 296 | 98.17 129 | 98.99 135 | 99.64 95 |
|
cascas | | | 97.69 224 | 97.43 221 | 98.48 220 | 98.60 292 | 97.30 227 | 98.18 326 | 99.39 179 | 92.96 307 | 98.41 249 | 98.78 286 | 93.77 223 | 99.27 245 | 98.16 130 | 98.61 156 | 98.86 190 |
|
diffmvs | | | 98.72 118 | 98.49 124 | 99.43 100 | 99.48 133 | 99.19 91 | 99.62 76 | 99.42 166 | 95.58 270 | 99.37 102 | 99.67 121 | 96.14 127 | 99.74 151 | 98.14 131 | 98.96 138 | 99.37 144 |
|
DWT-MVSNet_test | | | 97.53 236 | 97.40 224 | 97.93 267 | 99.03 223 | 94.86 297 | 99.57 98 | 98.63 311 | 96.59 220 | 98.36 253 | 98.79 284 | 89.32 295 | 99.74 151 | 98.14 131 | 98.16 188 | 99.20 155 |
|
COLMAP_ROB | | 97.56 6 | 98.86 100 | 98.75 100 | 99.17 127 | 99.88 11 | 98.53 181 | 99.34 192 | 99.59 38 | 97.55 146 | 98.70 227 | 99.89 10 | 95.83 136 | 99.90 84 | 98.10 133 | 99.90 24 | 99.08 165 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
PEN-MVS | | | 97.76 211 | 97.44 218 | 98.72 200 | 98.77 275 | 98.54 180 | 99.78 22 | 99.51 85 | 97.06 191 | 98.29 258 | 99.64 135 | 92.63 247 | 98.89 292 | 98.09 134 | 93.16 301 | 98.72 207 |
|
LPG-MVS_test | | | 98.22 144 | 98.13 142 | 98.49 218 | 99.33 161 | 97.05 242 | 99.58 92 | 99.55 55 | 97.46 153 | 99.24 140 | 99.83 37 | 92.58 248 | 99.72 163 | 98.09 134 | 97.51 212 | 98.68 223 |
|
LGP-MVS_train | | | | | 98.49 218 | 99.33 161 | 97.05 242 | | 99.55 55 | 97.46 153 | 99.24 140 | 99.83 37 | 92.58 248 | 99.72 163 | 98.09 134 | 97.51 212 | 98.68 223 |
|
IS-MVSNet | | | 99.05 81 | 98.87 84 | 99.57 72 | 99.73 65 | 99.32 78 | 99.75 34 | 99.20 246 | 98.02 102 | 99.56 67 | 99.86 22 | 96.54 117 | 99.67 180 | 98.09 134 | 99.13 124 | 99.73 64 |
|
OPM-MVS | | | 98.19 148 | 98.10 144 | 98.45 224 | 98.88 256 | 97.07 240 | 99.28 206 | 99.38 185 | 98.57 52 | 99.22 147 | 99.81 53 | 92.12 260 | 99.66 182 | 98.08 138 | 97.54 211 | 98.61 267 |
|
XVG-OURS | | | 98.73 117 | 98.68 106 | 98.88 176 | 99.70 78 | 97.73 223 | 98.92 290 | 99.55 55 | 98.52 55 | 99.45 84 | 99.84 35 | 95.27 150 | 99.91 72 | 98.08 138 | 98.84 149 | 99.00 175 |
|
Baseline_NR-MVSNet | | | 97.76 211 | 97.45 213 | 98.68 203 | 99.09 213 | 98.29 195 | 99.41 167 | 98.85 286 | 95.65 269 | 98.63 238 | 99.67 121 | 94.82 177 | 99.10 272 | 98.07 140 | 92.89 304 | 98.64 250 |
|
Test4 | | | 95.05 289 | 93.67 297 | 99.22 125 | 96.07 320 | 98.94 126 | 99.20 231 | 99.27 238 | 97.71 133 | 89.96 329 | 97.59 319 | 66.18 337 | 99.25 251 | 98.06 141 | 98.96 138 | 99.47 131 |
|
ACMH+ | | 97.24 10 | 97.92 189 | 97.78 174 | 98.32 235 | 99.46 135 | 96.68 261 | 99.56 105 | 99.54 62 | 98.41 63 | 97.79 277 | 99.87 19 | 90.18 289 | 99.66 182 | 98.05 142 | 97.18 232 | 98.62 258 |
|
TranMVSNet+NR-MVSNet | | | 97.93 186 | 97.66 189 | 98.76 198 | 98.78 272 | 98.62 174 | 99.65 69 | 99.49 104 | 97.76 127 | 98.49 246 | 99.60 150 | 94.23 206 | 98.97 290 | 98.00 143 | 92.90 303 | 98.70 213 |
|
DP-MVS Recon | | | 99.12 67 | 98.95 75 | 99.65 57 | 99.74 60 | 99.70 29 | 99.27 209 | 99.57 44 | 96.40 236 | 99.42 91 | 99.68 117 | 98.75 45 | 99.80 139 | 97.98 144 | 99.72 84 | 99.44 137 |
|
test_prior3 | | | 99.21 54 | 99.05 58 | 99.68 50 | 99.67 84 | 99.48 63 | 98.96 283 | 99.56 48 | 98.34 66 | 99.01 183 | 99.52 173 | 98.68 50 | 99.83 122 | 97.96 145 | 99.74 80 | 99.74 59 |
|
test_prior2 | | | | | | | | 98.96 283 | | 98.34 66 | 99.01 183 | 99.52 173 | 98.68 50 | | 97.96 145 | 99.74 80 | |
|
Fast-Effi-MVS+-dtu | | | 98.77 115 | 98.83 93 | 98.60 208 | 99.41 144 | 96.99 247 | 99.52 117 | 99.49 104 | 98.11 86 | 99.24 140 | 99.34 232 | 96.96 105 | 99.79 142 | 97.95 147 | 99.45 105 | 99.02 174 |
|
MP-MVS | | | 99.33 41 | 99.15 50 | 99.87 6 | 99.88 11 | 99.82 11 | 99.66 59 | 99.46 138 | 98.09 89 | 99.48 80 | 99.74 95 | 98.29 71 | 99.96 19 | 97.93 148 | 99.87 38 | 99.82 31 |
|
Vis-MVSNet (Re-imp) | | | 98.87 97 | 98.72 101 | 99.31 110 | 99.71 73 | 98.88 133 | 99.80 19 | 99.44 157 | 97.91 112 | 99.36 106 | 99.78 77 | 95.49 145 | 99.43 214 | 97.91 149 | 99.11 125 | 99.62 101 |
|
ACMP | | 97.20 11 | 98.06 161 | 97.94 159 | 98.45 224 | 99.37 154 | 97.01 245 | 99.44 151 | 99.49 104 | 97.54 149 | 98.45 248 | 99.79 72 | 91.95 261 | 99.72 163 | 97.91 149 | 97.49 217 | 98.62 258 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
Fast-Effi-MVS+ | | | 98.70 119 | 98.43 126 | 99.51 85 | 99.51 123 | 99.28 83 | 99.52 117 | 99.47 128 | 96.11 259 | 99.01 183 | 99.34 232 | 96.20 126 | 99.84 115 | 97.88 151 | 98.82 150 | 99.39 143 |
|
EPMVS | | | 97.82 202 | 97.65 194 | 98.35 233 | 98.88 256 | 95.98 277 | 99.49 134 | 94.71 342 | 97.57 144 | 99.26 132 | 99.48 187 | 92.46 255 | 99.71 169 | 97.87 152 | 99.08 129 | 99.35 146 |
|
tmp_tt | | | 82.80 312 | 81.52 312 | 86.66 323 | 66.61 348 | 68.44 346 | 92.79 340 | 97.92 326 | 68.96 338 | 80.04 338 | 99.85 26 | 85.77 320 | 96.15 329 | 97.86 153 | 43.89 343 | 95.39 329 |
|
NR-MVSNet | | | 97.97 180 | 97.61 197 | 99.02 140 | 98.87 259 | 99.26 86 | 99.47 143 | 99.42 166 | 97.63 140 | 97.08 286 | 99.50 178 | 95.07 160 | 99.13 267 | 97.86 153 | 93.59 297 | 98.68 223 |
|
v148 | | | 97.79 207 | 97.55 200 | 98.50 217 | 98.74 277 | 97.72 224 | 99.54 113 | 99.33 213 | 96.26 245 | 98.90 201 | 99.51 176 | 94.68 189 | 99.14 264 | 97.83 155 | 93.15 302 | 98.63 256 |
|
tfpn1000 | | | 98.33 138 | 98.02 152 | 99.25 119 | 99.78 35 | 98.73 162 | 99.70 42 | 97.55 334 | 97.48 152 | 99.69 35 | 99.53 168 | 92.37 257 | 99.85 109 | 97.82 156 | 98.26 177 | 99.16 156 |
|
CPTT-MVS | | | 99.11 71 | 98.90 80 | 99.74 43 | 99.80 33 | 99.46 66 | 99.59 86 | 99.49 104 | 97.03 193 | 99.63 52 | 99.69 112 | 97.27 98 | 99.96 19 | 97.82 156 | 99.84 57 | 99.81 35 |
|
MDTV_nov1_ep13_2view | | | | | | | 95.18 294 | 99.35 189 | | 96.84 204 | 99.58 63 | | 95.19 156 | | 97.82 156 | | 99.46 134 |
|
OMC-MVS | | | 99.08 77 | 99.04 61 | 99.20 126 | 99.67 84 | 98.22 198 | 99.28 206 | 99.52 76 | 98.07 93 | 99.66 47 | 99.81 53 | 97.79 85 | 99.78 144 | 97.79 159 | 99.81 67 | 99.60 103 |
|
HQP_MVS | | | 98.27 143 | 98.22 139 | 98.44 227 | 99.29 173 | 96.97 249 | 99.39 174 | 99.47 128 | 98.97 22 | 99.11 165 | 99.61 147 | 92.71 243 | 99.69 178 | 97.78 160 | 97.63 202 | 98.67 234 |
|
plane_prior5 | | | | | | | | | 99.47 128 | | | | | 99.69 178 | 97.78 160 | 97.63 202 | 98.67 234 |
|
v6 | | | 98.12 155 | 97.84 167 | 98.94 151 | 98.94 242 | 98.83 141 | 99.66 59 | 99.34 205 | 96.49 223 | 99.30 116 | 99.37 218 | 94.95 166 | 99.34 229 | 97.77 162 | 94.74 273 | 98.67 234 |
|
testdata | | | | | 99.54 75 | 99.75 49 | 98.95 123 | | 99.51 85 | 97.07 189 | 99.43 88 | 99.70 106 | 98.87 29 | 99.94 40 | 97.76 163 | 99.64 99 | 99.72 70 |
|
PLC | | 97.94 4 | 99.02 85 | 98.85 89 | 99.53 79 | 99.66 94 | 99.01 111 | 99.24 221 | 99.52 76 | 96.85 203 | 99.27 128 | 99.48 187 | 98.25 73 | 99.91 72 | 97.76 163 | 99.62 102 | 99.65 89 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
tpm | | | 97.67 229 | 97.55 200 | 98.03 259 | 99.02 224 | 95.01 296 | 99.43 156 | 98.54 316 | 96.44 231 | 99.12 163 | 99.34 232 | 91.83 266 | 99.60 194 | 97.75 165 | 96.46 242 | 99.48 127 |
|
1314 | | | 98.68 121 | 98.54 123 | 99.11 133 | 98.89 255 | 98.65 170 | 99.27 209 | 99.49 104 | 96.89 201 | 97.99 270 | 99.56 161 | 97.72 88 | 99.83 122 | 97.74 166 | 99.27 117 | 98.84 191 |
|
v1neww | | | 98.12 155 | 97.84 167 | 98.93 154 | 98.97 234 | 98.81 150 | 99.66 59 | 99.35 197 | 96.49 223 | 99.29 120 | 99.37 218 | 95.02 162 | 99.32 233 | 97.73 167 | 94.73 274 | 98.67 234 |
|
v7new | | | 98.12 155 | 97.84 167 | 98.93 154 | 98.97 234 | 98.81 150 | 99.66 59 | 99.35 197 | 96.49 223 | 99.29 120 | 99.37 218 | 95.02 162 | 99.32 233 | 97.73 167 | 94.73 274 | 98.67 234 |
|
XVG-ACMP-BASELINE | | | 97.83 199 | 97.71 187 | 98.20 252 | 99.11 208 | 96.33 271 | 99.41 167 | 99.52 76 | 98.06 97 | 99.05 179 | 99.50 178 | 89.64 293 | 99.73 159 | 97.73 167 | 97.38 225 | 98.53 277 |
|
CNLPA | | | 99.14 61 | 98.99 68 | 99.59 68 | 99.58 113 | 99.41 71 | 99.16 235 | 99.44 157 | 98.45 59 | 99.19 155 | 99.49 181 | 98.08 78 | 99.89 92 | 97.73 167 | 99.75 78 | 99.48 127 |
|
v2v482 | | | 98.06 161 | 97.77 178 | 98.92 159 | 98.90 252 | 98.82 148 | 99.57 98 | 99.36 193 | 96.65 213 | 99.19 155 | 99.35 229 | 94.20 207 | 99.25 251 | 97.72 171 | 94.97 270 | 98.69 218 |
|
原ACMM1 | | | | | 99.65 57 | 99.73 65 | 99.33 77 | | 99.47 128 | 97.46 153 | 99.12 163 | 99.66 127 | 98.67 52 | 99.91 72 | 97.70 172 | 99.69 91 | 99.71 77 |
|
agg_prior1 | | | 99.01 88 | 98.76 99 | 99.76 37 | 99.67 84 | 99.62 41 | 98.99 274 | 99.40 176 | 96.26 245 | 98.87 204 | 99.49 181 | 98.77 40 | 99.91 72 | 97.69 173 | 99.72 84 | 99.75 54 |
|
PVSNet_0 | | 94.43 19 | 96.09 279 | 95.47 281 | 97.94 266 | 99.31 169 | 94.34 304 | 97.81 329 | 99.70 15 | 97.12 184 | 97.46 279 | 98.75 287 | 89.71 292 | 99.79 142 | 97.69 173 | 81.69 334 | 99.68 82 |
|
MAR-MVS | | | 98.86 100 | 98.63 112 | 99.54 75 | 99.37 154 | 99.66 35 | 99.45 147 | 99.54 62 | 96.61 216 | 99.01 183 | 99.40 209 | 97.09 101 | 99.86 104 | 97.68 175 | 99.53 104 | 99.10 160 |
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020 |
train_agg | | | 99.02 85 | 98.77 97 | 99.77 35 | 99.67 84 | 99.65 38 | 99.05 259 | 99.41 169 | 96.28 242 | 98.95 194 | 99.49 181 | 98.76 42 | 99.91 72 | 97.63 176 | 99.72 84 | 99.75 54 |
|
agg_prior3 | | | 98.97 92 | 98.71 103 | 99.75 38 | 99.67 84 | 99.60 45 | 99.04 264 | 99.41 169 | 95.93 264 | 98.87 204 | 99.48 187 | 98.61 54 | 99.91 72 | 97.63 176 | 99.72 84 | 99.75 54 |
|
MDTV_nov1_ep13 | | | | 98.32 133 | | 99.11 208 | 94.44 302 | 99.27 209 | 98.74 298 | 97.51 150 | 99.40 97 | 99.62 144 | 94.78 180 | 99.76 149 | 97.59 178 | 98.81 152 | |
|
test_post1 | | | | | | | | 99.23 222 | | | | 65.14 345 | 94.18 210 | 99.71 169 | 97.58 179 | | |
|
JIA-IIPM | | | 97.50 241 | 97.02 249 | 98.93 154 | 98.73 278 | 97.80 220 | 99.30 199 | 98.97 271 | 91.73 315 | 98.91 199 | 94.86 331 | 95.10 159 | 99.71 169 | 97.58 179 | 97.98 195 | 99.28 151 |
|
tfpn_ndepth | | | 98.17 149 | 97.84 167 | 99.15 130 | 99.75 49 | 98.76 161 | 99.61 82 | 97.39 336 | 96.92 200 | 99.61 57 | 99.38 214 | 92.19 259 | 99.86 104 | 97.57 181 | 98.13 189 | 98.82 192 |
|
V42 | | | 98.06 161 | 97.79 172 | 98.86 184 | 98.98 231 | 98.84 138 | 99.69 45 | 99.34 205 | 96.53 222 | 99.30 116 | 99.37 218 | 94.67 190 | 99.32 233 | 97.57 181 | 94.66 279 | 98.42 284 |
|
gm-plane-assit | | | | | | 98.54 296 | 92.96 315 | | | 94.65 281 | | 99.15 254 | | 99.64 186 | 97.56 183 | | |
|
APD-MVS | | | 99.27 49 | 99.08 56 | 99.84 21 | 99.75 49 | 99.79 17 | 99.50 126 | 99.50 99 | 97.16 180 | 99.77 23 | 99.82 44 | 98.78 37 | 99.94 40 | 97.56 183 | 99.86 48 | 99.80 40 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
pm-mvs1 | | | 97.68 226 | 97.28 240 | 98.88 176 | 99.06 217 | 98.62 174 | 99.50 126 | 99.45 149 | 96.32 239 | 97.87 273 | 99.79 72 | 92.47 252 | 99.35 226 | 97.54 185 | 93.54 298 | 98.67 234 |
|
æ— å…ˆéªŒ | | | | | | | | 98.99 274 | 99.51 85 | 96.89 201 | | | | 99.93 55 | 97.53 186 | | 99.72 70 |
|
1121 | | | 99.09 75 | 98.87 84 | 99.75 38 | 99.74 60 | 99.60 45 | 99.27 209 | 99.48 113 | 96.82 205 | 99.25 135 | 99.65 128 | 98.38 66 | 99.93 55 | 97.53 186 | 99.67 95 | 99.73 64 |
|
pmmvs5 | | | 97.52 237 | 97.30 238 | 98.16 255 | 98.57 294 | 96.73 258 | 99.27 209 | 98.90 282 | 96.14 257 | 98.37 252 | 99.53 168 | 91.54 276 | 99.14 264 | 97.51 188 | 95.87 252 | 98.63 256 |
|
divwei89l23v2f112 | | | 98.06 161 | 97.78 174 | 98.91 163 | 98.90 252 | 98.77 160 | 99.57 98 | 99.35 197 | 96.45 230 | 99.24 140 | 99.37 218 | 94.92 170 | 99.27 245 | 97.50 189 | 94.71 278 | 98.68 223 |
|
test9_res | | | | | | | | | | | | | | | 97.49 190 | 99.72 84 | 99.75 54 |
|
CDPH-MVS | | | 99.13 62 | 98.91 79 | 99.80 29 | 99.75 49 | 99.71 27 | 99.15 238 | 99.41 169 | 96.60 218 | 99.60 59 | 99.55 164 | 98.83 32 | 99.90 84 | 97.48 191 | 99.83 62 | 99.78 48 |
|
AdaColmap | | | 99.01 88 | 98.80 94 | 99.66 53 | 99.56 118 | 99.54 53 | 99.18 233 | 99.70 15 | 98.18 79 | 99.35 109 | 99.63 139 | 96.32 122 | 99.90 84 | 97.48 191 | 99.77 75 | 99.55 111 |
|
OpenMVS | | 96.50 16 | 98.47 129 | 98.12 143 | 99.52 83 | 99.04 221 | 99.53 56 | 99.82 13 | 99.72 11 | 94.56 285 | 98.08 265 | 99.88 14 | 94.73 187 | 99.98 5 | 97.47 193 | 99.76 77 | 99.06 170 |
|
IterMVS | | | 97.83 199 | 97.77 178 | 98.02 261 | 99.58 113 | 96.27 273 | 99.02 268 | 99.48 113 | 97.22 176 | 98.71 221 | 99.70 106 | 92.75 239 | 99.13 267 | 97.46 194 | 96.00 251 | 98.67 234 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
RPSCF | | | 98.22 144 | 98.62 115 | 96.99 293 | 99.82 29 | 91.58 321 | 99.72 39 | 99.44 157 | 96.61 216 | 99.66 47 | 99.89 10 | 95.92 133 | 99.82 131 | 97.46 194 | 99.10 127 | 99.57 110 |
|
semantic-postprocess | | | | | 98.06 258 | 99.57 115 | 96.36 270 | | 99.49 104 | 97.18 178 | 98.71 221 | 99.72 102 | 92.70 245 | 99.14 264 | 97.44 196 | 95.86 253 | 98.67 234 |
|
PatchmatchNet | | | 98.31 140 | 98.36 129 | 98.19 253 | 99.16 200 | 95.32 290 | 99.27 209 | 98.92 277 | 97.37 163 | 99.37 102 | 99.58 155 | 94.90 172 | 99.70 175 | 97.43 197 | 99.21 119 | 99.54 113 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
EU-MVSNet | | | 97.98 177 | 98.03 151 | 97.81 277 | 98.72 280 | 96.65 262 | 99.66 59 | 99.66 25 | 98.09 89 | 98.35 254 | 99.82 44 | 95.25 153 | 98.01 312 | 97.41 198 | 95.30 262 | 98.78 196 |
|
Patchmatch-test1 | | | 98.16 151 | 98.14 141 | 98.22 250 | 99.30 170 | 95.55 283 | 99.07 253 | 98.97 271 | 97.57 144 | 99.43 88 | 99.60 150 | 92.72 242 | 99.60 194 | 97.38 199 | 99.20 120 | 99.50 124 |
|
v1141 | | | 98.05 167 | 97.76 181 | 98.91 163 | 98.91 251 | 98.78 159 | 99.57 98 | 99.35 197 | 96.41 235 | 99.23 145 | 99.36 225 | 94.93 169 | 99.27 245 | 97.38 199 | 94.72 276 | 98.68 223 |
|
v1 | | | 98.05 167 | 97.76 181 | 98.93 154 | 98.92 249 | 98.80 155 | 99.57 98 | 99.35 197 | 96.39 237 | 99.28 124 | 99.36 225 | 94.86 175 | 99.32 233 | 97.38 199 | 94.72 276 | 98.68 223 |
|
tpm2 | | | 97.44 245 | 97.34 233 | 97.74 281 | 99.15 203 | 94.36 303 | 99.45 147 | 98.94 274 | 93.45 305 | 98.90 201 | 99.44 199 | 91.35 277 | 99.59 196 | 97.31 202 | 98.07 192 | 99.29 150 |
|
TESTMET0.1,1 | | | 97.55 234 | 97.27 242 | 98.40 230 | 98.93 247 | 96.53 264 | 98.67 306 | 97.61 333 | 96.96 196 | 98.64 237 | 99.28 243 | 88.63 305 | 99.45 205 | 97.30 203 | 99.38 109 | 99.21 154 |
|
test-LLR | | | 98.06 161 | 97.90 161 | 98.55 215 | 98.79 268 | 97.10 236 | 98.67 306 | 97.75 329 | 97.34 164 | 98.61 241 | 98.85 279 | 94.45 199 | 99.45 205 | 97.25 204 | 99.38 109 | 99.10 160 |
|
test-mter | | | 97.49 243 | 97.13 246 | 98.55 215 | 98.79 268 | 97.10 236 | 98.67 306 | 97.75 329 | 96.65 213 | 98.61 241 | 98.85 279 | 88.23 310 | 99.45 205 | 97.25 204 | 99.38 109 | 99.10 160 |
|
agg_prior2 | | | | | | | | | | | | | | | 97.21 206 | 99.73 83 | 99.75 54 |
|
OurMVSNet-221017-0 | | | 97.88 192 | 97.77 178 | 98.19 253 | 98.71 282 | 96.53 264 | 99.88 1 | 99.00 268 | 97.79 124 | 98.78 215 | 99.94 3 | 91.68 271 | 99.35 226 | 97.21 206 | 96.99 235 | 98.69 218 |
|
BP-MVS | | | | | | | | | | | | | | | 97.19 208 | | |
|
HQP-MVS | | | 98.02 172 | 97.90 161 | 98.37 232 | 99.19 190 | 96.83 254 | 98.98 278 | 99.39 179 | 98.24 72 | 98.66 230 | 99.40 209 | 92.47 252 | 99.64 186 | 97.19 208 | 97.58 207 | 98.64 250 |
|
pmmvs4 | | | 98.13 153 | 97.90 161 | 98.81 191 | 98.61 291 | 98.87 134 | 98.99 274 | 99.21 245 | 96.44 231 | 99.06 178 | 99.58 155 | 95.90 134 | 99.11 270 | 97.18 210 | 96.11 249 | 98.46 283 |
|
PatchMatch-RL | | | 98.84 108 | 98.62 115 | 99.52 83 | 99.71 73 | 99.28 83 | 99.06 257 | 99.77 9 | 97.74 130 | 99.50 76 | 99.53 168 | 95.41 146 | 99.84 115 | 97.17 211 | 99.64 99 | 99.44 137 |
|
tpmp4_e23 | | | 97.34 248 | 97.29 239 | 97.52 285 | 99.25 182 | 93.73 308 | 99.58 92 | 99.19 249 | 94.00 296 | 98.20 260 | 99.41 205 | 90.74 283 | 99.74 151 | 97.13 212 | 98.07 192 | 99.07 169 |
|
GBi-Net | | | 97.68 226 | 97.48 208 | 98.29 238 | 99.51 123 | 97.26 230 | 99.43 156 | 99.48 113 | 96.49 223 | 99.07 174 | 99.32 237 | 90.26 286 | 98.98 283 | 97.10 213 | 96.65 237 | 98.62 258 |
|
test1 | | | 97.68 226 | 97.48 208 | 98.29 238 | 99.51 123 | 97.26 230 | 99.43 156 | 99.48 113 | 96.49 223 | 99.07 174 | 99.32 237 | 90.26 286 | 98.98 283 | 97.10 213 | 96.65 237 | 98.62 258 |
|
FMVSNet3 | | | 98.03 170 | 97.76 181 | 98.84 188 | 99.39 151 | 98.98 115 | 99.40 173 | 99.38 185 | 96.67 212 | 99.07 174 | 99.28 243 | 92.93 234 | 98.98 283 | 97.10 213 | 96.65 237 | 98.56 276 |
|
BH-untuned | | | 98.42 133 | 98.36 129 | 98.59 209 | 99.49 130 | 96.70 259 | 99.27 209 | 99.13 254 | 97.24 174 | 98.80 213 | 99.38 214 | 95.75 139 | 99.74 151 | 97.07 216 | 99.16 122 | 99.33 148 |
|
v7 | | | 98.05 167 | 97.78 174 | 98.87 180 | 98.99 227 | 98.67 167 | 99.64 71 | 99.34 205 | 96.31 241 | 99.29 120 | 99.51 176 | 94.78 180 | 99.27 245 | 97.03 217 | 95.15 266 | 98.66 245 |
|
LF4IMVS | | | 97.52 237 | 97.46 212 | 97.70 283 | 98.98 231 | 95.55 283 | 99.29 203 | 98.82 289 | 98.07 93 | 98.66 230 | 99.64 135 | 89.97 290 | 99.61 193 | 97.01 218 | 96.68 236 | 97.94 304 |
|
SixPastTwentyTwo | | | 97.50 241 | 97.33 235 | 98.03 259 | 98.65 288 | 96.23 274 | 99.77 24 | 98.68 309 | 97.14 181 | 97.90 272 | 99.93 4 | 90.45 284 | 99.18 263 | 97.00 219 | 96.43 243 | 98.67 234 |
|
MG-MVS | | | 99.13 62 | 99.02 66 | 99.45 94 | 99.57 115 | 98.63 172 | 99.07 253 | 99.34 205 | 98.99 18 | 99.61 57 | 99.82 44 | 97.98 81 | 99.87 101 | 97.00 219 | 99.80 69 | 99.85 8 |
|
API-MVS | | | 99.04 82 | 99.03 63 | 99.06 136 | 99.40 149 | 99.31 81 | 99.55 110 | 99.56 48 | 98.54 53 | 99.33 113 | 99.39 213 | 98.76 42 | 99.78 144 | 96.98 221 | 99.78 73 | 98.07 296 |
|
tpmvs | | | 97.98 177 | 98.02 152 | 97.84 274 | 99.04 221 | 94.73 300 | 99.31 197 | 99.20 246 | 96.10 262 | 98.76 217 | 99.42 202 | 94.94 167 | 99.81 135 | 96.97 222 | 98.45 167 | 98.97 179 |
|
QAPM | | | 98.67 122 | 98.30 135 | 99.80 29 | 99.20 188 | 99.67 33 | 99.77 24 | 99.72 11 | 94.74 279 | 98.73 219 | 99.90 7 | 95.78 138 | 99.98 5 | 96.96 223 | 99.88 34 | 99.76 53 |
|
PAPM_NR | | | 99.04 82 | 98.84 90 | 99.66 53 | 99.74 60 | 99.44 68 | 99.39 174 | 99.38 185 | 97.70 135 | 99.28 124 | 99.28 243 | 98.34 69 | 99.85 109 | 96.96 223 | 99.45 105 | 99.69 78 |
|
v8 | | | 97.95 185 | 97.63 196 | 98.93 154 | 98.95 239 | 98.81 150 | 99.80 19 | 99.41 169 | 96.03 263 | 99.10 168 | 99.42 202 | 94.92 170 | 99.30 239 | 96.94 225 | 94.08 291 | 98.66 245 |
|
MSDG | | | 98.98 90 | 98.80 94 | 99.53 79 | 99.76 43 | 99.19 91 | 98.75 302 | 99.55 55 | 97.25 172 | 99.47 81 | 99.77 82 | 97.82 84 | 99.87 101 | 96.93 226 | 99.90 24 | 99.54 113 |
|
pmmvs6 | | | 96.53 262 | 96.09 263 | 97.82 276 | 98.69 284 | 95.47 287 | 99.37 181 | 99.47 128 | 93.46 304 | 97.41 280 | 99.78 77 | 87.06 317 | 99.33 230 | 96.92 227 | 92.70 307 | 98.65 248 |
|
æ–°å‡ ä½•1 | | | | | 99.75 38 | 99.75 49 | 99.59 47 | | 99.54 62 | 96.76 206 | 99.29 120 | 99.64 135 | 98.43 62 | 99.94 40 | 96.92 227 | 99.66 96 | 99.72 70 |
|
DTE-MVSNet | | | 97.51 240 | 97.19 245 | 98.46 223 | 98.63 290 | 98.13 202 | 99.84 9 | 99.48 113 | 96.68 211 | 97.97 271 | 99.67 121 | 92.92 235 | 98.56 298 | 96.88 229 | 92.60 308 | 98.70 213 |
|
ADS-MVSNet2 | | | 98.02 172 | 98.07 149 | 97.87 271 | 99.33 161 | 95.19 293 | 99.23 222 | 99.08 258 | 96.24 247 | 99.10 168 | 99.67 121 | 94.11 212 | 98.93 291 | 96.81 230 | 99.05 131 | 99.48 127 |
|
ADS-MVSNet | | | 98.20 147 | 98.08 147 | 98.56 213 | 99.33 161 | 96.48 266 | 99.23 222 | 99.15 251 | 96.24 247 | 99.10 168 | 99.67 121 | 94.11 212 | 99.71 169 | 96.81 230 | 99.05 131 | 99.48 127 |
|
v748 | | | 97.52 237 | 97.23 243 | 98.41 229 | 98.69 284 | 97.23 233 | 99.87 4 | 99.45 149 | 95.72 267 | 98.51 244 | 99.53 168 | 94.13 211 | 99.30 239 | 96.78 232 | 92.39 309 | 98.70 213 |
|
gg-mvs-nofinetune | | | 96.17 277 | 95.32 284 | 98.73 199 | 98.79 268 | 98.14 201 | 99.38 179 | 94.09 343 | 91.07 319 | 98.07 268 | 91.04 337 | 89.62 294 | 99.35 226 | 96.75 233 | 99.09 128 | 98.68 223 |
|
v1144 | | | 97.98 177 | 97.69 188 | 98.85 187 | 98.87 259 | 98.66 169 | 99.54 113 | 99.35 197 | 96.27 244 | 99.23 145 | 99.35 229 | 94.67 190 | 99.23 254 | 96.73 234 | 95.16 265 | 98.68 223 |
|
UnsupCasMVSNet_eth | | | 96.44 263 | 96.12 262 | 97.40 289 | 98.65 288 | 95.65 280 | 99.36 185 | 99.51 85 | 97.13 182 | 96.04 299 | 98.99 268 | 88.40 308 | 98.17 301 | 96.71 235 | 90.27 313 | 98.40 286 |
|
GA-MVS | | | 97.85 195 | 97.47 210 | 99.00 143 | 99.38 152 | 97.99 206 | 98.57 312 | 99.15 251 | 97.04 192 | 98.90 201 | 99.30 240 | 89.83 291 | 99.38 216 | 96.70 236 | 98.33 171 | 99.62 101 |
|
K. test v3 | | | 97.10 255 | 96.79 253 | 98.01 262 | 98.72 280 | 96.33 271 | 99.87 4 | 97.05 337 | 97.59 141 | 96.16 296 | 99.80 64 | 88.71 301 | 99.04 276 | 96.69 237 | 96.55 241 | 98.65 248 |
|
testdata2 | | | | | | | | | | | | | | 99.95 33 | 96.67 238 | | |
|
AllTest | | | 98.87 97 | 98.72 101 | 99.31 110 | 99.86 20 | 98.48 189 | 99.56 105 | 99.61 32 | 97.85 116 | 99.36 106 | 99.85 26 | 95.95 130 | 99.85 109 | 96.66 239 | 99.83 62 | 99.59 107 |
|
TestCases | | | | | 99.31 110 | 99.86 20 | 98.48 189 | | 99.61 32 | 97.85 116 | 99.36 106 | 99.85 26 | 95.95 130 | 99.85 109 | 96.66 239 | 99.83 62 | 99.59 107 |
|
v52 | | | 97.79 207 | 97.50 206 | 98.66 206 | 98.80 266 | 98.62 174 | 99.87 4 | 99.44 157 | 95.87 265 | 99.01 183 | 99.46 195 | 94.44 201 | 99.33 230 | 96.65 241 | 93.96 294 | 98.05 297 |
|
V4 | | | 97.80 205 | 97.51 204 | 98.67 205 | 98.79 268 | 98.63 172 | 99.87 4 | 99.44 157 | 95.87 265 | 99.01 183 | 99.46 195 | 94.52 197 | 99.33 230 | 96.64 242 | 93.97 293 | 98.05 297 |
|
dp | | | 97.75 215 | 97.80 171 | 97.59 284 | 99.10 211 | 93.71 310 | 99.32 194 | 98.88 284 | 96.48 229 | 99.08 173 | 99.55 164 | 92.67 246 | 99.82 131 | 96.52 243 | 98.58 159 | 99.24 153 |
|
BH-RMVSNet | | | 98.41 134 | 98.08 147 | 99.40 102 | 99.41 144 | 98.83 141 | 99.30 199 | 98.77 294 | 97.70 135 | 98.94 196 | 99.65 128 | 92.91 237 | 99.74 151 | 96.52 243 | 99.55 103 | 99.64 95 |
|
FMVSNet2 | | | 97.72 220 | 97.36 228 | 98.80 193 | 99.51 123 | 98.84 138 | 99.45 147 | 99.42 166 | 96.49 223 | 98.86 209 | 99.29 242 | 90.26 286 | 98.98 283 | 96.44 245 | 96.56 240 | 98.58 274 |
|
ambc | | | | | 93.06 311 | 92.68 332 | 82.36 334 | 98.47 316 | 98.73 306 | | 95.09 302 | 97.41 321 | 55.55 342 | 99.10 272 | 96.42 246 | 91.32 311 | 97.71 318 |
|
tpm cat1 | | | 97.39 247 | 97.36 228 | 97.50 287 | 99.17 198 | 93.73 308 | 99.43 156 | 99.31 220 | 91.27 316 | 98.71 221 | 99.08 260 | 94.31 205 | 99.77 146 | 96.41 247 | 98.50 165 | 99.00 175 |
|
v144192 | | | 97.92 189 | 97.60 198 | 98.87 180 | 98.83 265 | 98.65 170 | 99.55 110 | 99.34 205 | 96.20 250 | 99.32 114 | 99.40 209 | 94.36 202 | 99.26 250 | 96.37 248 | 95.03 269 | 98.70 213 |
|
Patchmatch-RL test | | | 95.84 281 | 95.81 270 | 95.95 304 | 95.61 321 | 90.57 322 | 98.24 323 | 98.39 317 | 95.10 275 | 95.20 301 | 98.67 289 | 94.78 180 | 97.77 318 | 96.28 249 | 90.02 314 | 99.51 121 |
|
Patchmtry | | | 97.75 215 | 97.40 224 | 98.81 191 | 99.10 211 | 98.87 134 | 99.11 248 | 99.33 213 | 94.83 277 | 98.81 212 | 99.38 214 | 94.33 203 | 99.02 279 | 96.10 250 | 95.57 258 | 98.53 277 |
|
BH-w/o | | | 98.00 176 | 97.89 165 | 98.32 235 | 99.35 157 | 96.20 275 | 99.01 272 | 98.90 282 | 96.42 233 | 98.38 251 | 99.00 267 | 95.26 152 | 99.72 163 | 96.06 251 | 98.61 156 | 99.03 172 |
|
v7n | | | 97.87 193 | 97.52 202 | 98.92 159 | 98.76 276 | 98.58 178 | 99.84 9 | 99.46 138 | 96.20 250 | 98.91 199 | 99.70 106 | 94.89 173 | 99.44 210 | 96.03 252 | 93.89 295 | 98.75 202 |
|
v10 | | | 97.85 195 | 97.52 202 | 98.86 184 | 98.99 227 | 98.67 167 | 99.75 34 | 99.41 169 | 95.70 268 | 98.98 192 | 99.41 205 | 94.75 186 | 99.23 254 | 96.01 253 | 94.63 281 | 98.67 234 |
|
lessismore_v0 | | | | | 97.79 278 | 98.69 284 | 95.44 289 | | 94.75 341 | | 95.71 300 | 99.87 19 | 88.69 302 | 99.32 233 | 95.89 254 | 94.93 272 | 98.62 258 |
|
ITE_SJBPF | | | | | 98.08 257 | 99.29 173 | 96.37 269 | | 98.92 277 | 98.34 66 | 98.83 211 | 99.75 90 | 91.09 279 | 99.62 192 | 95.82 255 | 97.40 223 | 98.25 293 |
|
FMVSNet1 | | | 96.84 258 | 96.36 259 | 98.29 238 | 99.32 168 | 97.26 230 | 99.43 156 | 99.48 113 | 95.11 274 | 98.55 243 | 99.32 237 | 83.95 328 | 98.98 283 | 95.81 256 | 96.26 247 | 98.62 258 |
|
MIMVSNet | | | 97.73 218 | 97.45 213 | 98.57 211 | 99.45 139 | 97.50 226 | 99.02 268 | 98.98 270 | 96.11 259 | 99.41 93 | 99.14 255 | 90.28 285 | 98.74 295 | 95.74 257 | 98.93 141 | 99.47 131 |
|
testpf | | | 95.66 283 | 96.02 266 | 94.58 307 | 98.35 301 | 92.32 318 | 97.25 334 | 97.91 328 | 92.83 308 | 97.03 288 | 98.99 268 | 88.69 302 | 98.61 297 | 95.72 258 | 97.40 223 | 92.80 332 |
|
tfpnnormal | | | 97.84 197 | 97.47 210 | 98.98 145 | 99.20 188 | 99.22 90 | 99.64 71 | 99.61 32 | 96.32 239 | 98.27 259 | 99.70 106 | 93.35 229 | 99.44 210 | 95.69 259 | 95.40 260 | 98.27 291 |
|
MS-PatchMatch | | | 97.24 252 | 97.32 236 | 96.99 293 | 98.45 299 | 93.51 313 | 98.82 297 | 99.32 219 | 97.41 160 | 98.13 263 | 99.30 240 | 88.99 298 | 99.56 197 | 95.68 260 | 99.80 69 | 97.90 307 |
|
EG-PatchMatch MVS | | | 95.97 280 | 95.69 274 | 96.81 298 | 97.78 308 | 92.79 316 | 99.16 235 | 98.93 275 | 96.16 254 | 94.08 308 | 99.22 250 | 82.72 330 | 99.47 203 | 95.67 261 | 97.50 214 | 98.17 294 |
|
USDC | | | 97.34 248 | 97.20 244 | 97.75 280 | 99.07 215 | 95.20 292 | 98.51 315 | 99.04 265 | 97.99 107 | 98.31 256 | 99.86 22 | 89.02 297 | 99.55 199 | 95.67 261 | 97.36 226 | 98.49 279 |
|
MVP-Stereo | | | 97.81 203 | 97.75 184 | 97.99 264 | 97.53 311 | 96.60 263 | 98.96 283 | 98.85 286 | 97.22 176 | 97.23 283 | 99.36 225 | 95.28 149 | 99.46 204 | 95.51 263 | 99.78 73 | 97.92 306 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
CMPMVS | | 69.68 23 | 94.13 296 | 94.90 288 | 91.84 316 | 97.24 317 | 80.01 337 | 98.52 314 | 99.48 113 | 89.01 324 | 91.99 323 | 99.67 121 | 85.67 321 | 99.13 267 | 95.44 264 | 97.03 234 | 96.39 325 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
GG-mvs-BLEND | | | | | 98.45 224 | 98.55 295 | 98.16 200 | 99.43 156 | 93.68 344 | | 97.23 283 | 98.46 297 | 89.30 296 | 99.22 257 | 95.43 265 | 98.22 178 | 97.98 302 |
|
v1921920 | | | 97.80 205 | 97.45 213 | 98.84 188 | 98.80 266 | 98.53 181 | 99.52 117 | 99.34 205 | 96.15 256 | 99.24 140 | 99.47 191 | 93.98 216 | 99.29 241 | 95.40 266 | 95.13 267 | 98.69 218 |
|
TR-MVS | | | 97.76 211 | 97.41 223 | 98.82 190 | 99.06 217 | 97.87 212 | 98.87 295 | 98.56 315 | 96.63 215 | 98.68 229 | 99.22 250 | 92.49 251 | 99.65 184 | 95.40 266 | 97.79 199 | 98.95 188 |
|
v1192 | | | 97.81 203 | 97.44 218 | 98.91 163 | 98.88 256 | 98.68 166 | 99.51 121 | 99.34 205 | 96.18 252 | 99.20 152 | 99.34 232 | 94.03 215 | 99.36 223 | 95.32 268 | 95.18 264 | 98.69 218 |
|
PAPR | | | 98.63 126 | 98.34 131 | 99.51 85 | 99.40 149 | 99.03 108 | 98.80 298 | 99.36 193 | 96.33 238 | 99.00 190 | 99.12 259 | 98.46 60 | 99.84 115 | 95.23 269 | 99.37 113 | 99.66 86 |
|
TinyColmap | | | 97.12 254 | 96.89 251 | 97.83 275 | 99.07 215 | 95.52 286 | 98.57 312 | 98.74 298 | 97.58 143 | 97.81 276 | 99.79 72 | 88.16 311 | 99.56 197 | 95.10 270 | 97.21 230 | 98.39 287 |
|
DSMNet-mixed | | | 97.25 251 | 97.35 230 | 96.95 295 | 97.84 307 | 93.61 312 | 99.57 98 | 96.63 338 | 96.13 258 | 98.87 204 | 98.61 293 | 94.59 193 | 97.70 320 | 95.08 271 | 98.86 148 | 99.55 111 |
|
test0.0.03 1 | | | 97.71 223 | 97.42 222 | 98.56 213 | 98.41 300 | 97.82 215 | 98.78 299 | 98.63 311 | 97.34 164 | 98.05 269 | 98.98 271 | 94.45 199 | 98.98 283 | 95.04 272 | 97.15 233 | 98.89 189 |
|
v17 | | | 96.42 265 | 95.81 270 | 98.25 245 | 98.94 242 | 98.80 155 | 99.76 27 | 99.28 233 | 94.57 283 | 94.18 305 | 97.71 308 | 95.23 154 | 98.16 302 | 94.86 273 | 87.73 322 | 97.80 310 |
|
MVS-HIRNet | | | 95.75 282 | 95.16 286 | 97.51 286 | 99.30 170 | 93.69 311 | 98.88 294 | 95.78 339 | 85.09 329 | 98.78 215 | 92.65 333 | 91.29 278 | 99.37 219 | 94.85 274 | 99.85 52 | 99.46 134 |
|
v18 | | | 96.42 265 | 95.80 272 | 98.26 241 | 98.95 239 | 98.82 148 | 99.76 27 | 99.28 233 | 94.58 282 | 94.12 306 | 97.70 309 | 95.22 155 | 98.16 302 | 94.83 275 | 87.80 320 | 97.79 315 |
|
CR-MVSNet | | | 98.17 149 | 97.93 160 | 98.87 180 | 99.18 193 | 98.49 187 | 99.22 226 | 99.33 213 | 96.96 196 | 99.56 67 | 99.38 214 | 94.33 203 | 99.00 281 | 94.83 275 | 98.58 159 | 99.14 157 |
|
v16 | | | 96.39 267 | 95.76 273 | 98.26 241 | 98.96 237 | 98.81 150 | 99.76 27 | 99.28 233 | 94.57 283 | 94.10 307 | 97.70 309 | 95.04 161 | 98.16 302 | 94.70 277 | 87.77 321 | 97.80 310 |
|
pmmvs-eth3d | | | 95.34 288 | 94.73 289 | 97.15 290 | 95.53 323 | 95.94 278 | 99.35 189 | 99.10 256 | 95.13 273 | 93.55 317 | 97.54 320 | 88.15 312 | 97.91 314 | 94.58 278 | 89.69 316 | 97.61 319 |
|
v15 | | | 96.28 269 | 95.62 275 | 98.25 245 | 98.94 242 | 98.83 141 | 99.76 27 | 99.29 226 | 94.52 287 | 94.02 310 | 97.61 316 | 95.02 162 | 98.13 306 | 94.53 279 | 86.92 325 | 97.80 310 |
|
testgi | | | 97.65 231 | 97.50 206 | 98.13 256 | 99.36 156 | 96.45 267 | 99.42 163 | 99.48 113 | 97.76 127 | 97.87 273 | 99.45 198 | 91.09 279 | 98.81 294 | 94.53 279 | 98.52 164 | 99.13 159 |
|
v1240 | | | 97.69 224 | 97.32 236 | 98.79 194 | 98.85 263 | 98.43 191 | 99.48 139 | 99.36 193 | 96.11 259 | 99.27 128 | 99.36 225 | 93.76 224 | 99.24 253 | 94.46 281 | 95.23 263 | 98.70 213 |
|
V14 | | | 96.26 270 | 95.60 276 | 98.26 241 | 98.94 242 | 98.83 141 | 99.76 27 | 99.29 226 | 94.49 288 | 93.96 312 | 97.66 312 | 94.99 165 | 98.13 306 | 94.41 282 | 86.90 326 | 97.80 310 |
|
V9 | | | 96.25 271 | 95.58 277 | 98.26 241 | 98.94 242 | 98.83 141 | 99.75 34 | 99.29 226 | 94.45 290 | 93.96 312 | 97.62 315 | 94.94 167 | 98.14 305 | 94.40 283 | 86.87 327 | 97.81 308 |
|
view600 | | | 97.97 180 | 97.66 189 | 98.89 169 | 99.75 49 | 97.81 216 | 99.69 45 | 98.80 290 | 98.02 102 | 99.25 135 | 98.88 275 | 91.95 261 | 99.89 92 | 94.36 284 | 98.29 173 | 98.96 181 |
|
view800 | | | 97.97 180 | 97.66 189 | 98.89 169 | 99.75 49 | 97.81 216 | 99.69 45 | 98.80 290 | 98.02 102 | 99.25 135 | 98.88 275 | 91.95 261 | 99.89 92 | 94.36 284 | 98.29 173 | 98.96 181 |
|
conf0.05thres1000 | | | 97.97 180 | 97.66 189 | 98.89 169 | 99.75 49 | 97.81 216 | 99.69 45 | 98.80 290 | 98.02 102 | 99.25 135 | 98.88 275 | 91.95 261 | 99.89 92 | 94.36 284 | 98.29 173 | 98.96 181 |
|
tfpn | | | 97.97 180 | 97.66 189 | 98.89 169 | 99.75 49 | 97.81 216 | 99.69 45 | 98.80 290 | 98.02 102 | 99.25 135 | 98.88 275 | 91.95 261 | 99.89 92 | 94.36 284 | 98.29 173 | 98.96 181 |
|
v12 | | | 96.24 272 | 95.58 277 | 98.23 248 | 98.96 237 | 98.81 150 | 99.76 27 | 99.29 226 | 94.42 291 | 93.85 316 | 97.60 317 | 95.12 158 | 98.09 309 | 94.32 288 | 86.85 329 | 97.80 310 |
|
YYNet1 | | | 95.36 287 | 94.51 292 | 97.92 268 | 97.89 306 | 97.10 236 | 99.10 250 | 99.23 243 | 93.26 306 | 80.77 335 | 99.04 265 | 92.81 238 | 98.02 311 | 94.30 289 | 94.18 289 | 98.64 250 |
|
PM-MVS | | | 92.96 300 | 92.23 302 | 95.14 306 | 95.61 321 | 89.98 324 | 99.37 181 | 98.21 322 | 94.80 278 | 95.04 303 | 97.69 311 | 65.06 338 | 97.90 315 | 94.30 289 | 89.98 315 | 97.54 322 |
|
v13 | | | 96.24 272 | 95.58 277 | 98.25 245 | 98.98 231 | 98.83 141 | 99.75 34 | 99.29 226 | 94.35 292 | 93.89 315 | 97.60 317 | 95.17 157 | 98.11 308 | 94.27 291 | 86.86 328 | 97.81 308 |
|
MVS | | | 97.28 250 | 96.55 257 | 99.48 88 | 98.78 272 | 98.95 123 | 99.27 209 | 99.39 179 | 83.53 330 | 98.08 265 | 99.54 167 | 96.97 104 | 99.87 101 | 94.23 292 | 99.16 122 | 99.63 99 |
|
MDA-MVSNet_test_wron | | | 95.45 285 | 94.60 290 | 98.01 262 | 98.16 304 | 97.21 234 | 99.11 248 | 99.24 242 | 93.49 303 | 80.73 336 | 98.98 271 | 93.02 232 | 98.18 300 | 94.22 293 | 94.45 284 | 98.64 250 |
|
TransMVSNet (Re) | | | 97.15 253 | 96.58 256 | 98.86 184 | 99.12 206 | 98.85 137 | 99.49 134 | 98.91 280 | 95.48 271 | 97.16 285 | 99.80 64 | 93.38 228 | 99.11 270 | 94.16 294 | 91.73 310 | 98.62 258 |
|
UnsupCasMVSNet_bld | | | 93.53 299 | 92.51 301 | 96.58 302 | 97.38 313 | 93.82 307 | 98.24 323 | 99.48 113 | 91.10 318 | 93.10 319 | 96.66 326 | 74.89 333 | 98.37 299 | 94.03 295 | 87.71 323 | 97.56 321 |
|
thres600view7 | | | 97.86 194 | 97.51 204 | 98.92 159 | 99.72 68 | 97.95 210 | 99.59 86 | 98.74 298 | 97.94 109 | 99.27 128 | 98.62 290 | 91.75 267 | 99.86 104 | 93.73 296 | 98.19 181 | 98.96 181 |
|
DeepMVS_CX | | | | | 93.34 310 | 99.29 173 | 82.27 335 | | 99.22 244 | 85.15 328 | 96.33 294 | 99.05 264 | 90.97 281 | 99.73 159 | 93.57 297 | 97.77 200 | 98.01 301 |
|
MDA-MVSNet-bldmvs | | | 94.96 290 | 93.98 295 | 97.92 268 | 98.24 303 | 97.27 229 | 99.15 238 | 99.33 213 | 93.80 299 | 80.09 337 | 99.03 266 | 88.31 309 | 97.86 316 | 93.49 298 | 94.36 285 | 98.62 258 |
|
Patchmatch-test | | | 97.93 186 | 97.65 194 | 98.77 196 | 99.18 193 | 97.07 240 | 99.03 265 | 99.14 253 | 96.16 254 | 98.74 218 | 99.57 159 | 94.56 194 | 99.72 163 | 93.36 299 | 99.11 125 | 99.52 118 |
|
conf200view11 | | | 97.78 209 | 97.45 213 | 98.77 196 | 99.72 68 | 97.86 213 | 99.59 86 | 98.74 298 | 97.93 110 | 99.26 132 | 98.62 290 | 91.75 267 | 99.83 122 | 93.22 300 | 98.18 182 | 98.61 267 |
|
thres100view900 | | | 97.76 211 | 97.45 213 | 98.69 202 | 99.72 68 | 97.86 213 | 99.59 86 | 98.74 298 | 97.93 110 | 99.26 132 | 98.62 290 | 91.75 267 | 99.83 122 | 93.22 300 | 98.18 182 | 98.37 288 |
|
tfpn200view9 | | | 97.72 220 | 97.38 226 | 98.72 200 | 99.69 80 | 97.96 208 | 99.50 126 | 98.73 306 | 97.83 119 | 99.17 158 | 98.45 298 | 91.67 272 | 99.83 122 | 93.22 300 | 98.18 182 | 98.37 288 |
|
thres400 | | | 97.77 210 | 97.38 226 | 98.92 159 | 99.69 80 | 97.96 208 | 99.50 126 | 98.73 306 | 97.83 119 | 99.17 158 | 98.45 298 | 91.67 272 | 99.83 122 | 93.22 300 | 98.18 182 | 98.96 181 |
|
EPNet_dtu | | | 98.03 170 | 97.96 157 | 98.23 248 | 98.27 302 | 95.54 285 | 99.23 222 | 98.75 295 | 99.02 10 | 97.82 275 | 99.71 103 | 96.11 128 | 99.48 202 | 93.04 304 | 99.65 98 | 99.69 78 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
v11 | | | 96.23 274 | 95.57 280 | 98.21 251 | 98.93 247 | 98.83 141 | 99.72 39 | 99.29 226 | 94.29 293 | 94.05 309 | 97.64 314 | 94.88 174 | 98.04 310 | 92.89 305 | 88.43 318 | 97.77 316 |
|
thres200 | | | 97.61 232 | 97.28 240 | 98.62 207 | 99.64 97 | 98.03 204 | 99.26 217 | 98.74 298 | 97.68 137 | 99.09 172 | 98.32 300 | 91.66 274 | 99.81 135 | 92.88 306 | 98.22 178 | 98.03 300 |
|
PCF-MVS | | 97.08 14 | 97.66 230 | 97.06 248 | 99.47 91 | 99.61 108 | 99.09 102 | 98.04 328 | 99.25 241 | 91.24 317 | 98.51 244 | 99.70 106 | 94.55 195 | 99.91 72 | 92.76 307 | 99.85 52 | 99.42 140 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
FMVSNet5 | | | 96.43 264 | 96.19 261 | 97.15 290 | 99.11 208 | 95.89 279 | 99.32 194 | 99.52 76 | 94.47 289 | 98.34 255 | 99.07 261 | 87.54 314 | 97.07 323 | 92.61 308 | 95.72 255 | 98.47 281 |
|
test_0402 | | | 96.64 259 | 96.24 260 | 97.85 273 | 98.85 263 | 96.43 268 | 99.44 151 | 99.26 239 | 93.52 302 | 96.98 289 | 99.52 173 | 88.52 306 | 99.20 262 | 92.58 309 | 97.50 214 | 97.93 305 |
|
new-patchmatchnet | | | 94.48 293 | 94.08 294 | 95.67 305 | 95.08 325 | 92.41 317 | 99.18 233 | 99.28 233 | 94.55 286 | 93.49 318 | 97.37 323 | 87.86 313 | 97.01 324 | 91.57 310 | 88.36 319 | 97.61 319 |
|
N_pmnet | | | 94.95 291 | 95.83 269 | 92.31 315 | 98.47 298 | 79.33 338 | 99.12 242 | 92.81 348 | 93.87 298 | 97.68 278 | 99.13 256 | 93.87 220 | 99.01 280 | 91.38 311 | 96.19 248 | 98.59 271 |
|
LCM-MVSNet | | | 86.80 308 | 85.22 311 | 91.53 319 | 87.81 339 | 80.96 336 | 98.23 325 | 98.99 269 | 71.05 336 | 90.13 328 | 96.51 327 | 48.45 345 | 96.88 325 | 90.51 312 | 85.30 332 | 96.76 323 |
|
LP | | | 97.04 256 | 96.80 252 | 97.77 279 | 98.90 252 | 95.23 291 | 98.97 281 | 99.06 263 | 94.02 295 | 98.09 264 | 99.41 205 | 93.88 219 | 98.82 293 | 90.46 313 | 98.42 169 | 99.26 152 |
|
new_pmnet | | | 96.38 268 | 96.03 264 | 97.41 288 | 98.13 305 | 95.16 295 | 99.05 259 | 99.20 246 | 93.94 297 | 97.39 281 | 98.79 284 | 91.61 275 | 99.04 276 | 90.43 314 | 95.77 254 | 98.05 297 |
|
PAPM | | | 97.59 233 | 97.09 247 | 99.07 135 | 99.06 217 | 98.26 197 | 98.30 322 | 99.10 256 | 94.88 276 | 98.08 265 | 99.34 232 | 96.27 124 | 99.64 186 | 89.87 315 | 98.92 143 | 99.31 149 |
|
pmmvs3 | | | 94.09 297 | 93.25 299 | 96.60 301 | 94.76 326 | 94.49 301 | 98.92 290 | 98.18 324 | 89.66 321 | 96.48 293 | 98.06 303 | 86.28 318 | 97.33 322 | 89.68 316 | 87.20 324 | 97.97 303 |
|
Anonymous20231211 | | | 90.69 305 | 89.39 306 | 94.58 307 | 94.25 327 | 88.18 325 | 99.29 203 | 99.07 261 | 82.45 332 | 92.95 320 | 97.65 313 | 63.96 340 | 97.79 317 | 89.27 317 | 85.63 331 | 97.77 316 |
|
OpenMVS_ROB | | 92.34 20 | 94.38 295 | 93.70 296 | 96.41 303 | 97.38 313 | 93.17 314 | 99.06 257 | 98.75 295 | 86.58 327 | 94.84 304 | 98.26 302 | 81.53 332 | 99.32 233 | 89.01 318 | 97.87 198 | 96.76 323 |
|
PatchT | | | 97.03 257 | 96.44 258 | 98.79 194 | 98.99 227 | 98.34 194 | 99.16 235 | 99.07 261 | 92.13 311 | 99.52 73 | 97.31 324 | 94.54 196 | 98.98 283 | 88.54 319 | 98.73 155 | 99.03 172 |
|
MIMVSNet1 | | | 95.51 284 | 95.04 287 | 96.92 296 | 97.38 313 | 95.60 281 | 99.52 117 | 99.50 99 | 93.65 300 | 96.97 290 | 99.17 253 | 85.28 323 | 96.56 327 | 88.36 320 | 95.55 259 | 98.60 270 |
|
TAPA-MVS | | 97.07 15 | 97.74 217 | 97.34 233 | 98.94 151 | 99.70 78 | 97.53 225 | 99.25 219 | 99.51 85 | 91.90 314 | 99.30 116 | 99.63 139 | 98.78 37 | 99.64 186 | 88.09 321 | 99.87 38 | 99.65 89 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
Gipuma | | | 90.99 304 | 90.15 305 | 93.51 309 | 98.73 278 | 90.12 323 | 93.98 338 | 99.45 149 | 79.32 333 | 92.28 322 | 94.91 330 | 69.61 335 | 97.98 313 | 87.42 322 | 95.67 256 | 92.45 334 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
testus | | | 94.61 292 | 95.30 285 | 92.54 314 | 96.44 319 | 84.18 330 | 98.36 318 | 99.03 266 | 94.18 294 | 96.49 292 | 98.57 295 | 88.74 300 | 95.09 332 | 87.41 323 | 98.45 167 | 98.36 290 |
|
test20.03 | | | 96.12 278 | 95.96 267 | 96.63 300 | 97.44 312 | 95.45 288 | 99.51 121 | 99.38 185 | 96.55 221 | 96.16 296 | 99.25 247 | 93.76 224 | 96.17 328 | 87.35 324 | 94.22 288 | 98.27 291 |
|
Anonymous20231206 | | | 96.22 275 | 96.03 264 | 96.79 299 | 97.31 316 | 94.14 305 | 99.63 73 | 99.08 258 | 96.17 253 | 97.04 287 | 99.06 263 | 93.94 217 | 97.76 319 | 86.96 325 | 95.06 268 | 98.47 281 |
|
RPMNet | | | 96.61 260 | 95.85 268 | 98.87 180 | 99.18 193 | 98.49 187 | 99.22 226 | 99.08 258 | 88.72 326 | 99.56 67 | 97.38 322 | 94.08 214 | 99.00 281 | 86.87 326 | 98.58 159 | 99.14 157 |
|
test2356 | | | 94.07 298 | 94.46 293 | 92.89 312 | 95.18 324 | 86.13 328 | 97.60 332 | 99.06 263 | 93.61 301 | 96.15 298 | 98.28 301 | 85.60 322 | 93.95 334 | 86.68 327 | 98.00 194 | 98.59 271 |
|
PMMVS2 | | | 86.87 307 | 85.37 310 | 91.35 320 | 90.21 336 | 83.80 331 | 98.89 293 | 97.45 335 | 83.13 331 | 91.67 325 | 95.03 329 | 48.49 344 | 94.70 333 | 85.86 328 | 77.62 335 | 95.54 328 |
|
FPMVS | | | 84.93 309 | 85.65 309 | 82.75 329 | 86.77 341 | 63.39 347 | 98.35 320 | 98.92 277 | 74.11 335 | 83.39 333 | 98.98 271 | 50.85 343 | 92.40 339 | 84.54 329 | 94.97 270 | 92.46 333 |
|
no-one | | | 83.04 311 | 80.12 313 | 91.79 317 | 89.44 338 | 85.65 329 | 99.32 194 | 98.32 318 | 89.06 323 | 79.79 339 | 89.16 339 | 44.86 346 | 96.67 326 | 84.33 330 | 46.78 342 | 93.05 331 |
|
test1235678 | | | 92.91 301 | 93.30 298 | 91.71 318 | 93.14 331 | 83.01 332 | 98.75 302 | 98.58 314 | 92.80 309 | 92.45 321 | 97.91 305 | 88.51 307 | 93.54 335 | 82.26 331 | 95.35 261 | 98.59 271 |
|
test12356 | | | 91.74 303 | 92.19 304 | 90.37 321 | 91.22 333 | 82.41 333 | 98.61 310 | 98.28 319 | 90.66 320 | 91.82 324 | 97.92 304 | 84.90 324 | 92.61 336 | 81.64 332 | 94.66 279 | 96.09 327 |
|
1111 | | | 92.30 302 | 92.21 303 | 92.55 313 | 93.30 329 | 86.27 326 | 99.15 238 | 98.74 298 | 91.94 312 | 90.85 326 | 97.82 306 | 84.18 326 | 95.21 330 | 79.65 333 | 94.27 287 | 96.19 326 |
|
.test1245 | | | 83.42 310 | 86.17 308 | 75.15 332 | 93.30 329 | 86.27 326 | 99.15 238 | 98.74 298 | 91.94 312 | 90.85 326 | 97.82 306 | 84.18 326 | 95.21 330 | 79.65 333 | 39.90 344 | 43.98 343 |
|
PMVS | | 70.75 22 | 75.98 318 | 74.97 317 | 79.01 331 | 70.98 347 | 55.18 348 | 93.37 339 | 98.21 322 | 65.08 342 | 61.78 344 | 93.83 332 | 21.74 353 | 92.53 337 | 78.59 335 | 91.12 312 | 89.34 338 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
PNet_i23d | | | 79.43 315 | 77.68 316 | 84.67 325 | 86.18 342 | 71.69 345 | 96.50 336 | 93.68 344 | 75.17 334 | 71.33 340 | 91.18 336 | 32.18 349 | 90.62 340 | 78.57 336 | 74.34 336 | 91.71 336 |
|
testmv | | | 87.91 306 | 87.80 307 | 88.24 322 | 87.68 340 | 77.50 340 | 99.07 253 | 97.66 332 | 89.27 322 | 86.47 330 | 96.22 328 | 68.35 336 | 92.49 338 | 76.63 337 | 88.82 317 | 94.72 330 |
|
ANet_high | | | 77.30 316 | 74.86 318 | 84.62 326 | 75.88 346 | 77.61 339 | 97.63 331 | 93.15 347 | 88.81 325 | 64.27 342 | 89.29 338 | 36.51 347 | 83.93 345 | 75.89 338 | 52.31 341 | 92.33 335 |
|
wuykxyi23d | | | 74.42 319 | 71.19 320 | 84.14 327 | 76.16 345 | 74.29 344 | 96.00 337 | 92.57 349 | 69.57 337 | 63.84 343 | 87.49 341 | 21.98 351 | 88.86 341 | 75.56 339 | 57.50 340 | 89.26 339 |
|
MVE | | 76.82 21 | 76.91 317 | 74.31 319 | 84.70 324 | 85.38 344 | 76.05 343 | 96.88 335 | 93.17 346 | 67.39 339 | 71.28 341 | 89.01 340 | 21.66 354 | 87.69 342 | 71.74 340 | 72.29 337 | 90.35 337 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
E-PMN | | | 80.61 313 | 79.88 314 | 82.81 328 | 90.75 335 | 76.38 342 | 97.69 330 | 95.76 340 | 66.44 340 | 83.52 332 | 92.25 334 | 62.54 341 | 87.16 343 | 68.53 341 | 61.40 338 | 84.89 341 |
|
EMVS | | | 80.02 314 | 79.22 315 | 82.43 330 | 91.19 334 | 76.40 341 | 97.55 333 | 92.49 350 | 66.36 341 | 83.01 334 | 91.27 335 | 64.63 339 | 85.79 344 | 65.82 342 | 60.65 339 | 85.08 340 |
|
wuyk23d | | | 40.18 321 | 41.29 324 | 36.84 333 | 86.18 342 | 49.12 349 | 79.73 341 | 22.81 352 | 27.64 343 | 25.46 347 | 28.45 347 | 21.98 351 | 48.89 346 | 55.80 343 | 23.56 347 | 12.51 345 |
|
testmvs | | | 39.17 322 | 43.78 321 | 25.37 336 | 36.04 350 | 16.84 351 | 98.36 318 | 26.56 351 | 20.06 344 | 38.51 346 | 67.32 342 | 29.64 350 | 15.30 348 | 37.59 344 | 39.90 344 | 43.98 343 |
|
test123 | | | 39.01 323 | 42.50 323 | 28.53 335 | 39.17 349 | 20.91 350 | 98.75 302 | 19.17 353 | 19.83 345 | 38.57 345 | 66.67 343 | 33.16 348 | 15.42 347 | 37.50 345 | 29.66 346 | 49.26 342 |
|
cdsmvs_eth3d_5k | | | 24.64 324 | 32.85 325 | 0.00 337 | 0.00 351 | 0.00 352 | 0.00 342 | 99.51 85 | 0.00 346 | 0.00 348 | 99.56 161 | 96.58 116 | 0.00 349 | 0.00 346 | 0.00 348 | 0.00 346 |
|
pcd_1.5k_mvsjas | | | 8.27 326 | 11.03 327 | 0.00 337 | 0.00 351 | 0.00 352 | 0.00 342 | 0.00 354 | 0.00 346 | 0.00 348 | 0.27 348 | 99.01 11 | 0.00 349 | 0.00 346 | 0.00 348 | 0.00 346 |
|
pcd1.5k->3k | | | 40.85 320 | 43.49 322 | 32.93 334 | 98.95 239 | 0.00 352 | 0.00 342 | 99.53 72 | 0.00 346 | 0.00 348 | 0.27 348 | 95.32 148 | 0.00 349 | 0.00 346 | 97.30 227 | 98.80 194 |
|
sosnet-low-res | | | 0.02 327 | 0.03 328 | 0.00 337 | 0.00 351 | 0.00 352 | 0.00 342 | 0.00 354 | 0.00 346 | 0.00 348 | 0.27 348 | 0.00 355 | 0.00 349 | 0.00 346 | 0.00 348 | 0.00 346 |
|
sosnet | | | 0.02 327 | 0.03 328 | 0.00 337 | 0.00 351 | 0.00 352 | 0.00 342 | 0.00 354 | 0.00 346 | 0.00 348 | 0.27 348 | 0.00 355 | 0.00 349 | 0.00 346 | 0.00 348 | 0.00 346 |
|
uncertanet | | | 0.02 327 | 0.03 328 | 0.00 337 | 0.00 351 | 0.00 352 | 0.00 342 | 0.00 354 | 0.00 346 | 0.00 348 | 0.27 348 | 0.00 355 | 0.00 349 | 0.00 346 | 0.00 348 | 0.00 346 |
|
Regformer | | | 0.02 327 | 0.03 328 | 0.00 337 | 0.00 351 | 0.00 352 | 0.00 342 | 0.00 354 | 0.00 346 | 0.00 348 | 0.27 348 | 0.00 355 | 0.00 349 | 0.00 346 | 0.00 348 | 0.00 346 |
|
ab-mvs-re | | | 8.30 325 | 11.06 326 | 0.00 337 | 0.00 351 | 0.00 352 | 0.00 342 | 0.00 354 | 0.00 346 | 0.00 348 | 99.58 155 | 0.00 355 | 0.00 349 | 0.00 346 | 0.00 348 | 0.00 346 |
|
uanet | | | 0.02 327 | 0.03 328 | 0.00 337 | 0.00 351 | 0.00 352 | 0.00 342 | 0.00 354 | 0.00 346 | 0.00 348 | 0.27 348 | 0.00 355 | 0.00 349 | 0.00 346 | 0.00 348 | 0.00 346 |
|
test_part2 | | | | | | 99.81 32 | 99.83 7 | | | | 99.77 23 | | | | | | |
|
test_part1 | | | | | | | | | 99.48 113 | | | | 98.96 20 | | | 99.84 57 | 99.83 23 |
|
test11111 | | | | | | | | | 99.47 128 | | | | | | | | |
|
sam_mvs1 | | | | | | | | | | | | | 94.86 175 | | | | |
|
sam_mvs | | | | | | | | | | | | | 94.72 188 | | | | |
|
MTGPA | | | | | | | | | 99.47 128 | | | | | | | | |
|
test_post | | | | | | | | | | | | 65.99 344 | 94.65 192 | 99.73 159 | | | |
|
patchmatchnet-post | | | | | | | | | | | | 98.70 288 | 94.79 179 | 99.74 151 | | | |
|
MTMP | | | | | | | | | 98.88 284 | | | | | | | | |
|
TEST9 | | | | | | 99.67 84 | 99.65 38 | 99.05 259 | 99.41 169 | 96.22 249 | 98.95 194 | 99.49 181 | 98.77 40 | 99.91 72 | | | |
|
test_8 | | | | | | 99.67 84 | 99.61 43 | 99.03 265 | 99.41 169 | 96.28 242 | 98.93 197 | 99.48 187 | 98.76 42 | 99.91 72 | | | |
|
agg_prior | | | | | | 99.67 84 | 99.62 41 | | 99.40 176 | | 98.87 204 | | | 99.91 72 | | | |
|
test_prior4 | | | | | | | 99.56 50 | 98.99 274 | | | | | | | | | |
|
test_prior | | | | | 99.68 50 | 99.67 84 | 99.48 63 | | 99.56 48 | | | | | 99.83 122 | | | 99.74 59 |
|
æ–°å‡ ä½•2 | | | | | | | | 99.01 272 | | | | | | | | | |
|
旧先验1 | | | | | | 99.74 60 | 99.59 47 | | 99.54 62 | | | 99.69 112 | 98.47 59 | | | 99.68 94 | 99.73 64 |
|
原ACMM2 | | | | | | | | 98.95 287 | | | | | | | | | |
|
test222 | | | | | | 99.75 49 | 99.49 62 | 98.91 292 | 99.49 104 | 96.42 233 | 99.34 112 | 99.65 128 | 98.28 72 | | | 99.69 91 | 99.72 70 |
|
segment_acmp | | | | | | | | | | | | | 98.96 20 | | | | |
|
testdata1 | | | | | | | | 98.85 296 | | 98.32 69 | | | | | | | |
|
test12 | | | | | 99.75 38 | 99.64 97 | 99.61 43 | | 99.29 226 | | 99.21 149 | | 98.38 66 | 99.89 92 | | 99.74 80 | 99.74 59 |
|
plane_prior7 | | | | | | 99.29 173 | 97.03 244 | | | | | | | | | | |
|
plane_prior6 | | | | | | 99.27 178 | 96.98 248 | | | | | | 92.71 243 | | | | |
|
plane_prior4 | | | | | | | | | | | | 99.61 147 | | | | | |
|
plane_prior3 | | | | | | | 97.00 246 | | | 98.69 46 | 99.11 165 | | | | | | |
|
plane_prior2 | | | | | | | | 99.39 174 | | 98.97 22 | | | | | | | |
|
plane_prior1 | | | | | | 99.26 180 | | | | | | | | | | | |
|
plane_prior | | | | | | | 96.97 249 | 99.21 229 | | 98.45 59 | | | | | | 97.60 205 | |
|
n2 | | | | | | | | | 0.00 354 | | | | | | | | |
|
nn | | | | | | | | | 0.00 354 | | | | | | | | |
|
door-mid | | | | | | | | | 98.05 325 | | | | | | | | |
|
test11 | | | | | | | | | 99.35 197 | | | | | | | | |
|
door | | | | | | | | | 97.92 326 | | | | | | | | |
|
HQP5-MVS | | | | | | | 96.83 254 | | | | | | | | | | |
|
HQP-NCC | | | | | | 99.19 190 | | 98.98 278 | | 98.24 72 | 98.66 230 | | | | | | |
|
ACMP_Plane | | | | | | 99.19 190 | | 98.98 278 | | 98.24 72 | 98.66 230 | | | | | | |
|
HQP4-MVS | | | | | | | | | | | 98.66 230 | | | 99.64 186 | | | 98.64 250 |
|
HQP3-MVS | | | | | | | | | 99.39 179 | | | | | | | 97.58 207 | |
|
HQP2-MVS | | | | | | | | | | | | | 92.47 252 | | | | |
|
NP-MVS | | | | | | 99.23 183 | 96.92 252 | | | | | 99.40 209 | | | | | |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 97.19 231 | |
|
ACMMP++ | | | | | | | | | | | | | | | | 97.43 222 | |
|
Test By Simon | | | | | | | | | | | | | 98.75 45 | | | | |
|