UA-Net | | | 99.42 30 | 99.29 37 | 99.80 31 | 99.62 113 | 99.55 54 | 99.50 134 | 99.70 15 | 98.79 40 | 99.77 24 | 99.96 1 | 97.45 94 | 99.96 19 | 98.92 55 | 99.90 25 | 99.89 2 |
|
DeepC-MVS | | 98.35 2 | 99.30 46 | 99.19 48 | 99.64 64 | 99.82 29 | 99.23 91 | 99.62 82 | 99.55 55 | 98.94 26 | 99.63 54 | 99.95 2 | 95.82 139 | 99.94 42 | 99.37 17 | 99.97 3 | 99.73 66 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
OurMVSNet-221017-0 | | | 97.88 200 | 97.77 186 | 98.19 262 | 98.71 291 | 96.53 273 | 99.88 1 | 99.00 269 | 97.79 127 | 98.78 224 | 99.94 3 | 91.68 280 | 99.35 236 | 97.21 207 | 96.99 244 | 98.69 226 |
|
SixPastTwentyTwo | | | 97.50 250 | 97.33 244 | 98.03 268 | 98.65 297 | 96.23 283 | 99.77 24 | 98.68 311 | 97.14 185 | 97.90 281 | 99.93 4 | 90.45 293 | 99.18 273 | 97.00 222 | 96.43 252 | 98.67 242 |
|
SD-MVS | | | 99.41 33 | 99.52 6 | 99.05 146 | 99.74 67 | 99.68 33 | 99.46 154 | 99.52 76 | 99.11 7 | 99.88 3 | 99.91 5 | 99.43 1 | 97.70 330 | 98.72 80 | 99.93 11 | 99.77 52 |
|
ACMH | | 97.28 8 | 98.10 166 | 97.99 157 | 98.44 236 | 99.41 153 | 96.96 260 | 99.60 90 | 99.56 48 | 98.09 89 | 98.15 271 | 99.91 5 | 90.87 291 | 99.70 185 | 98.88 57 | 97.45 228 | 98.67 242 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
VDDNet | | | 97.55 243 | 97.02 258 | 99.16 134 | 99.49 139 | 98.12 211 | 99.38 187 | 99.30 223 | 95.35 282 | 99.68 38 | 99.90 7 | 82.62 340 | 99.93 57 | 99.31 25 | 98.13 192 | 99.42 144 |
|
QAPM | | | 98.67 124 | 98.30 137 | 99.80 31 | 99.20 197 | 99.67 35 | 99.77 24 | 99.72 11 | 94.74 289 | 98.73 228 | 99.90 7 | 95.78 140 | 99.98 5 | 96.96 226 | 99.88 35 | 99.76 55 |
|
3Dnovator | | 97.25 9 | 99.24 55 | 99.05 60 | 99.81 29 | 99.12 215 | 99.66 37 | 99.84 9 | 99.74 10 | 99.09 8 | 98.92 207 | 99.90 7 | 95.94 134 | 99.98 5 | 98.95 53 | 99.92 12 | 99.79 46 |
|
CHOSEN 1792x2688 | | | 99.19 57 | 99.10 57 | 99.45 96 | 99.89 8 | 98.52 192 | 99.39 182 | 99.94 1 | 98.73 44 | 99.11 174 | 99.89 10 | 95.50 146 | 99.94 42 | 99.50 8 | 99.97 3 | 99.89 2 |
|
RPSCF | | | 98.22 150 | 98.62 117 | 96.99 302 | 99.82 29 | 91.58 330 | 99.72 39 | 99.44 158 | 96.61 226 | 99.66 49 | 99.89 10 | 95.92 135 | 99.82 135 | 97.46 195 | 99.10 129 | 99.57 112 |
|
3Dnovator+ | | 97.12 13 | 99.18 59 | 98.97 73 | 99.82 26 | 99.17 207 | 99.68 33 | 99.81 15 | 99.51 85 | 99.20 4 | 98.72 229 | 99.89 10 | 95.68 143 | 99.97 11 | 98.86 64 | 99.86 49 | 99.81 36 |
|
COLMAP_ROB | | 97.56 6 | 98.86 102 | 98.75 102 | 99.17 133 | 99.88 11 | 98.53 189 | 99.34 202 | 99.59 38 | 97.55 150 | 98.70 236 | 99.89 10 | 95.83 138 | 99.90 87 | 98.10 134 | 99.90 25 | 99.08 169 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
test_djsdf | | | 98.67 124 | 98.57 123 | 98.98 153 | 98.70 292 | 98.91 139 | 99.88 1 | 99.46 139 | 97.55 150 | 99.22 156 | 99.88 14 | 95.73 142 | 99.28 252 | 99.03 46 | 97.62 213 | 98.75 210 |
|
DP-MVS | | | 99.16 62 | 98.95 77 | 99.78 35 | 99.77 41 | 99.53 58 | 99.41 175 | 99.50 99 | 97.03 203 | 99.04 189 | 99.88 14 | 97.39 95 | 99.92 65 | 98.66 86 | 99.90 25 | 99.87 4 |
|
TDRefinement | | | 95.42 295 | 94.57 300 | 97.97 274 | 89.83 346 | 96.11 285 | 99.48 147 | 98.75 296 | 96.74 217 | 96.68 300 | 99.88 14 | 88.65 313 | 99.71 179 | 98.37 118 | 82.74 342 | 98.09 306 |
|
EPP-MVSNet | | | 99.13 64 | 98.99 70 | 99.53 81 | 99.65 105 | 99.06 107 | 99.81 15 | 99.33 214 | 97.43 161 | 99.60 61 | 99.88 14 | 97.14 102 | 99.84 119 | 99.13 39 | 98.94 142 | 99.69 80 |
|
OpenMVS | | 96.50 16 | 98.47 131 | 98.12 145 | 99.52 85 | 99.04 230 | 99.53 58 | 99.82 13 | 99.72 11 | 94.56 295 | 98.08 274 | 99.88 14 | 94.73 189 | 99.98 5 | 97.47 194 | 99.76 79 | 99.06 174 |
|
lessismore_v0 | | | | | 97.79 287 | 98.69 293 | 95.44 298 | | 94.75 349 | | 95.71 309 | 99.87 19 | 88.69 311 | 99.32 243 | 95.89 263 | 94.93 281 | 98.62 266 |
|
Vis-MVSNet | | | 99.12 69 | 98.97 73 | 99.56 76 | 99.78 36 | 99.10 103 | 99.68 54 | 99.66 25 | 98.49 56 | 99.86 7 | 99.87 19 | 94.77 186 | 99.84 119 | 99.19 33 | 99.41 110 | 99.74 61 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
ACMH+ | | 97.24 10 | 97.92 197 | 97.78 182 | 98.32 244 | 99.46 144 | 96.68 270 | 99.56 112 | 99.54 62 | 98.41 63 | 97.79 286 | 99.87 19 | 90.18 298 | 99.66 192 | 98.05 143 | 97.18 241 | 98.62 266 |
|
ACMMP_Plus | | | 99.47 20 | 99.34 24 | 99.88 4 | 99.87 15 | 99.86 3 | 99.47 151 | 99.48 114 | 98.05 98 | 99.76 29 | 99.86 22 | 98.82 35 | 99.93 57 | 98.82 71 | 99.91 17 | 99.84 12 |
|
PVSNet_Blended_VisFu | | | 99.36 39 | 99.28 39 | 99.61 68 | 99.86 20 | 99.07 106 | 99.47 151 | 99.93 2 | 97.66 142 | 99.71 32 | 99.86 22 | 97.73 89 | 99.96 19 | 99.47 13 | 99.82 68 | 99.79 46 |
|
IS-MVSNet | | | 99.05 83 | 98.87 86 | 99.57 74 | 99.73 72 | 99.32 80 | 99.75 34 | 99.20 247 | 98.02 102 | 99.56 69 | 99.86 22 | 96.54 119 | 99.67 190 | 98.09 135 | 99.13 126 | 99.73 66 |
|
USDC | | | 97.34 257 | 97.20 253 | 97.75 289 | 99.07 224 | 95.20 301 | 98.51 325 | 99.04 266 | 97.99 107 | 98.31 265 | 99.86 22 | 89.02 306 | 99.55 209 | 95.67 270 | 97.36 235 | 98.49 290 |
|
TSAR-MVS + MP. | | | 99.58 3 | 99.50 7 | 99.81 29 | 99.91 1 | 99.66 37 | 99.63 79 | 99.39 180 | 98.91 29 | 99.78 23 | 99.85 26 | 99.36 2 | 99.94 42 | 98.84 66 | 99.88 35 | 99.82 32 |
|
tmp_tt | | | 82.80 321 | 81.52 321 | 86.66 332 | 66.61 357 | 68.44 355 | 92.79 350 | 97.92 328 | 68.96 348 | 80.04 347 | 99.85 26 | 85.77 329 | 96.15 339 | 97.86 154 | 43.89 352 | 95.39 340 |
|
AllTest | | | 98.87 99 | 98.72 103 | 99.31 112 | 99.86 20 | 98.48 197 | 99.56 112 | 99.61 32 | 97.85 119 | 99.36 114 | 99.85 26 | 95.95 132 | 99.85 113 | 96.66 248 | 99.83 64 | 99.59 109 |
|
TestCases | | | | | 99.31 112 | 99.86 20 | 98.48 197 | | 99.61 32 | 97.85 119 | 99.36 114 | 99.85 26 | 95.95 132 | 99.85 113 | 96.66 248 | 99.83 64 | 99.59 109 |
|
VDD-MVS | | | 97.73 227 | 97.35 239 | 98.88 184 | 99.47 143 | 97.12 244 | 99.34 202 | 98.85 287 | 98.19 76 | 99.67 44 | 99.85 26 | 82.98 338 | 99.92 65 | 99.49 12 | 98.32 174 | 99.60 105 |
|
APDe-MVS | | | 99.66 1 | 99.57 1 | 99.92 1 | 99.77 41 | 99.89 1 | 99.75 34 | 99.56 48 | 99.02 10 | 99.88 3 | 99.85 26 | 99.18 6 | 99.96 19 | 99.22 31 | 99.92 12 | 99.90 1 |
|
DeepPCF-MVS | | 98.18 3 | 98.81 111 | 99.37 17 | 97.12 301 | 99.60 119 | 91.75 329 | 98.61 320 | 99.44 158 | 99.35 1 | 99.83 12 | 99.85 26 | 98.70 51 | 99.81 139 | 99.02 48 | 99.91 17 | 99.81 36 |
|
ACMM | | 97.58 5 | 98.37 139 | 98.34 133 | 98.48 229 | 99.41 153 | 97.10 245 | 99.56 112 | 99.45 150 | 98.53 54 | 99.04 189 | 99.85 26 | 93.00 235 | 99.71 179 | 98.74 76 | 97.45 228 | 98.64 258 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
LS3D | | | 99.27 51 | 99.12 55 | 99.74 45 | 99.18 202 | 99.75 24 | 99.56 112 | 99.57 44 | 98.45 59 | 99.49 87 | 99.85 26 | 97.77 88 | 99.94 42 | 98.33 122 | 99.84 58 | 99.52 120 |
|
XVG-OURS | | | 98.73 119 | 98.68 108 | 98.88 184 | 99.70 87 | 97.73 232 | 98.92 300 | 99.55 55 | 98.52 55 | 99.45 92 | 99.84 35 | 95.27 152 | 99.91 74 | 98.08 139 | 98.84 151 | 99.00 179 |
|
ACMMP | | | 99.45 23 | 99.32 27 | 99.82 26 | 99.89 8 | 99.67 35 | 99.62 82 | 99.69 18 | 98.12 84 | 99.63 54 | 99.84 35 | 98.73 49 | 99.96 19 | 98.55 104 | 99.83 64 | 99.81 36 |
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 |
EI-MVSNet-UG-set | | | 99.58 3 | 99.57 1 | 99.64 64 | 99.78 36 | 99.14 100 | 99.60 90 | 99.45 150 | 99.01 13 | 99.90 1 | 99.83 37 | 98.98 19 | 99.93 57 | 99.59 2 | 99.95 6 | 99.86 5 |
|
EI-MVSNet | | | 98.67 124 | 98.67 109 | 98.68 212 | 99.35 166 | 97.97 215 | 99.50 134 | 99.38 186 | 96.93 209 | 99.20 161 | 99.83 37 | 97.87 84 | 99.36 233 | 98.38 117 | 97.56 218 | 98.71 217 |
|
CVMVSNet | | | 98.57 129 | 98.67 109 | 98.30 246 | 99.35 166 | 95.59 291 | 99.50 134 | 99.55 55 | 98.60 51 | 99.39 106 | 99.83 37 | 94.48 200 | 99.45 215 | 98.75 75 | 98.56 164 | 99.85 8 |
|
LPG-MVS_test | | | 98.22 150 | 98.13 144 | 98.49 227 | 99.33 170 | 97.05 251 | 99.58 99 | 99.55 55 | 97.46 157 | 99.24 149 | 99.83 37 | 92.58 256 | 99.72 173 | 98.09 135 | 97.51 221 | 98.68 231 |
|
LGP-MVS_train | | | | | 98.49 227 | 99.33 170 | 97.05 251 | | 99.55 55 | 97.46 157 | 99.24 149 | 99.83 37 | 92.58 256 | 99.72 173 | 98.09 135 | 97.51 221 | 98.68 231 |
|
SteuartSystems-ACMMP | | | 99.54 7 | 99.42 11 | 99.87 6 | 99.82 29 | 99.81 14 | 99.59 92 | 99.51 85 | 98.62 49 | 99.79 19 | 99.83 37 | 99.28 3 | 99.97 11 | 98.48 109 | 99.90 25 | 99.84 12 |
Skip Steuart: Steuart Systems R&D Blog. |
XXY-MVS | | | 98.38 138 | 98.09 148 | 99.24 128 | 99.26 189 | 99.32 80 | 99.56 112 | 99.55 55 | 97.45 160 | 98.71 230 | 99.83 37 | 93.23 232 | 99.63 201 | 98.88 57 | 96.32 255 | 98.76 209 |
|
SMA-MVS | | | 99.47 20 | 99.34 24 | 99.86 13 | 99.73 72 | 99.85 6 | 99.56 112 | 99.50 99 | 97.61 144 | 99.84 8 | 99.82 44 | 99.28 3 | 99.91 74 | 98.79 72 | 99.91 17 | 99.81 36 |
|
nrg030 | | | 98.64 127 | 98.42 129 | 99.28 120 | 99.05 229 | 99.69 32 | 99.81 15 | 99.46 139 | 98.04 99 | 99.01 192 | 99.82 44 | 96.69 116 | 99.38 226 | 99.34 22 | 94.59 291 | 98.78 204 |
|
FC-MVSNet-test | | | 98.75 118 | 98.62 117 | 99.15 136 | 99.08 223 | 99.45 69 | 99.86 8 | 99.60 35 | 98.23 75 | 98.70 236 | 99.82 44 | 96.80 110 | 99.22 267 | 99.07 44 | 96.38 253 | 98.79 203 |
|
EI-MVSNet-Vis-set | | | 99.58 3 | 99.56 3 | 99.64 64 | 99.78 36 | 99.15 99 | 99.61 88 | 99.45 150 | 99.01 13 | 99.89 2 | 99.82 44 | 99.01 12 | 99.92 65 | 99.56 5 | 99.95 6 | 99.85 8 |
|
APD-MVS_3200maxsize | | | 99.48 17 | 99.35 22 | 99.85 19 | 99.76 44 | 99.83 8 | 99.63 79 | 99.54 62 | 98.36 65 | 99.79 19 | 99.82 44 | 98.86 32 | 99.95 33 | 98.62 91 | 99.81 69 | 99.78 50 |
|
EU-MVSNet | | | 97.98 185 | 98.03 153 | 97.81 286 | 98.72 289 | 96.65 271 | 99.66 65 | 99.66 25 | 98.09 89 | 98.35 263 | 99.82 44 | 95.25 155 | 98.01 322 | 97.41 199 | 95.30 271 | 98.78 204 |
|
APD-MVS | | | 99.27 51 | 99.08 58 | 99.84 23 | 99.75 56 | 99.79 19 | 99.50 134 | 99.50 99 | 97.16 184 | 99.77 24 | 99.82 44 | 98.78 39 | 99.94 42 | 97.56 184 | 99.86 49 | 99.80 42 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
TAMVS | | | 99.12 69 | 99.08 58 | 99.24 128 | 99.46 144 | 98.55 187 | 99.51 129 | 99.46 139 | 98.09 89 | 99.45 92 | 99.82 44 | 98.34 71 | 99.51 211 | 98.70 81 | 98.93 143 | 99.67 87 |
|
DeepC-MVS_fast | | 98.69 1 | 99.49 13 | 99.39 15 | 99.77 37 | 99.63 109 | 99.59 49 | 99.36 195 | 99.46 139 | 99.07 9 | 99.79 19 | 99.82 44 | 98.85 33 | 99.92 65 | 98.68 85 | 99.87 39 | 99.82 32 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
MG-MVS | | | 99.13 64 | 99.02 68 | 99.45 96 | 99.57 124 | 98.63 180 | 99.07 263 | 99.34 206 | 98.99 18 | 99.61 59 | 99.82 44 | 97.98 83 | 99.87 104 | 97.00 222 | 99.80 71 | 99.85 8 |
|
OPM-MVS | | | 98.19 156 | 98.10 146 | 98.45 233 | 98.88 265 | 97.07 249 | 99.28 216 | 99.38 186 | 98.57 52 | 99.22 156 | 99.81 54 | 92.12 268 | 99.66 192 | 98.08 139 | 97.54 220 | 98.61 275 |
|
zzz-MVS | | | 99.49 13 | 99.36 19 | 99.89 2 | 99.90 3 | 99.86 3 | 99.36 195 | 99.47 130 | 98.79 40 | 99.68 38 | 99.81 54 | 98.43 64 | 99.97 11 | 98.88 57 | 99.90 25 | 99.83 23 |
|
MTAPA | | | 99.52 11 | 99.39 15 | 99.89 2 | 99.90 3 | 99.86 3 | 99.66 65 | 99.47 130 | 98.79 40 | 99.68 38 | 99.81 54 | 98.43 64 | 99.97 11 | 98.88 57 | 99.90 25 | 99.83 23 |
|
FIs | | | 98.78 115 | 98.63 114 | 99.23 130 | 99.18 202 | 99.54 55 | 99.83 12 | 99.59 38 | 98.28 70 | 98.79 223 | 99.81 54 | 96.75 114 | 99.37 229 | 99.08 43 | 96.38 253 | 98.78 204 |
|
mvs_tets | | | 98.40 137 | 98.23 140 | 98.91 171 | 98.67 296 | 98.51 194 | 99.66 65 | 99.53 72 | 98.19 76 | 98.65 245 | 99.81 54 | 92.75 241 | 99.44 220 | 99.31 25 | 97.48 227 | 98.77 207 |
|
mvs_anonymous | | | 99.03 86 | 98.99 70 | 99.16 134 | 99.38 161 | 98.52 192 | 99.51 129 | 99.38 186 | 97.79 127 | 99.38 108 | 99.81 54 | 97.30 99 | 99.45 215 | 99.35 18 | 98.99 137 | 99.51 125 |
|
TSAR-MVS + GP. | | | 99.36 39 | 99.36 19 | 99.36 106 | 99.67 93 | 98.61 185 | 99.07 263 | 99.33 214 | 99.00 17 | 99.82 15 | 99.81 54 | 99.06 9 | 99.84 119 | 99.09 42 | 99.42 109 | 99.65 91 |
|
abl_6 | | | 99.44 26 | 99.31 32 | 99.83 24 | 99.85 23 | 99.75 24 | 99.66 65 | 99.59 38 | 98.13 82 | 99.82 15 | 99.81 54 | 98.60 57 | 99.96 19 | 98.46 112 | 99.88 35 | 99.79 46 |
|
EPNet | | | 98.86 102 | 98.71 105 | 99.30 115 | 97.20 327 | 98.18 207 | 99.62 82 | 98.91 281 | 99.28 2 | 98.63 247 | 99.81 54 | 95.96 131 | 99.99 1 | 99.24 30 | 99.72 86 | 99.73 66 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
ab-mvs | | | 98.86 102 | 98.63 114 | 99.54 77 | 99.64 106 | 99.19 93 | 99.44 159 | 99.54 62 | 97.77 129 | 99.30 124 | 99.81 54 | 94.20 209 | 99.93 57 | 99.17 36 | 98.82 152 | 99.49 129 |
|
OMC-MVS | | | 99.08 79 | 99.04 63 | 99.20 132 | 99.67 93 | 98.22 206 | 99.28 216 | 99.52 76 | 98.07 93 | 99.66 49 | 99.81 54 | 97.79 87 | 99.78 154 | 97.79 160 | 99.81 69 | 99.60 105 |
|
jajsoiax | | | 98.43 134 | 98.28 138 | 98.88 184 | 98.60 301 | 98.43 199 | 99.82 13 | 99.53 72 | 98.19 76 | 98.63 247 | 99.80 65 | 93.22 233 | 99.44 220 | 99.22 31 | 97.50 223 | 98.77 207 |
|
Regformer-3 | | | 99.57 6 | 99.53 5 | 99.68 52 | 99.76 44 | 99.29 84 | 99.58 99 | 99.44 158 | 99.01 13 | 99.87 6 | 99.80 65 | 98.97 20 | 99.91 74 | 99.44 16 | 99.92 12 | 99.83 23 |
|
Regformer-4 | | | 99.59 2 | 99.54 4 | 99.73 47 | 99.76 44 | 99.41 73 | 99.58 99 | 99.49 105 | 99.02 10 | 99.88 3 | 99.80 65 | 99.00 18 | 99.94 42 | 99.45 15 | 99.92 12 | 99.84 12 |
|
PGM-MVS | | | 99.45 23 | 99.31 32 | 99.86 13 | 99.87 15 | 99.78 23 | 99.58 99 | 99.65 30 | 97.84 121 | 99.71 32 | 99.80 65 | 99.12 8 | 99.97 11 | 98.33 122 | 99.87 39 | 99.83 23 |
|
TransMVSNet (Re) | | | 97.15 262 | 96.58 265 | 98.86 192 | 99.12 215 | 98.85 145 | 99.49 142 | 98.91 281 | 95.48 281 | 97.16 294 | 99.80 65 | 93.38 230 | 99.11 280 | 94.16 303 | 91.73 319 | 98.62 266 |
|
K. test v3 | | | 97.10 264 | 96.79 262 | 98.01 271 | 98.72 289 | 96.33 280 | 99.87 4 | 97.05 345 | 97.59 145 | 96.16 305 | 99.80 65 | 88.71 310 | 99.04 286 | 96.69 246 | 96.55 250 | 98.65 256 |
|
DELS-MVS | | | 99.48 17 | 99.42 11 | 99.65 59 | 99.72 76 | 99.40 75 | 99.05 269 | 99.66 25 | 99.14 6 | 99.57 68 | 99.80 65 | 98.46 62 | 99.94 42 | 99.57 4 | 99.84 58 | 99.60 105 |
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 |
CSCG | | | 99.32 43 | 99.32 27 | 99.32 111 | 99.85 23 | 98.29 203 | 99.71 41 | 99.66 25 | 98.11 86 | 99.41 101 | 99.80 65 | 98.37 70 | 99.96 19 | 98.99 50 | 99.96 5 | 99.72 72 |
|
MP-MVS-pluss | | | 99.37 38 | 99.20 47 | 99.88 4 | 99.90 3 | 99.87 2 | 99.30 209 | 99.52 76 | 97.18 182 | 99.60 61 | 99.79 73 | 98.79 38 | 99.95 33 | 98.83 68 | 99.91 17 | 99.83 23 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
pm-mvs1 | | | 97.68 235 | 97.28 249 | 98.88 184 | 99.06 226 | 98.62 182 | 99.50 134 | 99.45 150 | 96.32 249 | 97.87 282 | 99.79 73 | 92.47 260 | 99.35 236 | 97.54 186 | 93.54 307 | 98.67 242 |
|
LFMVS | | | 97.90 199 | 97.35 239 | 99.54 77 | 99.52 130 | 99.01 119 | 99.39 182 | 98.24 323 | 97.10 192 | 99.65 52 | 99.79 73 | 84.79 334 | 99.91 74 | 99.28 27 | 98.38 172 | 99.69 80 |
|
TinyColmap | | | 97.12 263 | 96.89 260 | 97.83 284 | 99.07 224 | 95.52 295 | 98.57 322 | 98.74 299 | 97.58 147 | 97.81 285 | 99.79 73 | 88.16 320 | 99.56 207 | 95.10 279 | 97.21 239 | 98.39 298 |
|
ACMP | | 97.20 11 | 98.06 169 | 97.94 161 | 98.45 233 | 99.37 163 | 97.01 254 | 99.44 159 | 99.49 105 | 97.54 153 | 98.45 257 | 99.79 73 | 91.95 269 | 99.72 173 | 97.91 150 | 97.49 226 | 98.62 266 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
test_part3 | | | | | | | | 99.37 189 | | 97.97 108 | | 99.78 78 | | 99.95 33 | 97.15 213 | | |
|
ESAPD | | | 99.31 45 | 99.13 53 | 99.87 6 | 99.81 32 | 99.83 8 | 99.37 189 | 99.48 114 | 97.97 108 | 99.77 24 | 99.78 78 | 98.96 21 | 99.95 33 | 97.15 213 | 99.84 58 | 99.83 23 |
|
pmmvs6 | | | 96.53 271 | 96.09 272 | 97.82 285 | 98.69 293 | 95.47 296 | 99.37 189 | 99.47 130 | 93.46 314 | 97.41 289 | 99.78 78 | 87.06 326 | 99.33 240 | 96.92 230 | 92.70 316 | 98.65 256 |
|
MSLP-MVS++ | | | 99.46 22 | 99.47 8 | 99.44 99 | 99.60 119 | 99.16 96 | 99.41 175 | 99.71 13 | 98.98 19 | 99.45 92 | 99.78 78 | 99.19 5 | 99.54 210 | 99.28 27 | 99.84 58 | 99.63 101 |
|
VNet | | | 99.11 73 | 98.90 82 | 99.73 47 | 99.52 130 | 99.56 52 | 99.41 175 | 99.39 180 | 99.01 13 | 99.74 31 | 99.78 78 | 95.56 144 | 99.92 65 | 99.52 7 | 98.18 184 | 99.72 72 |
|
114514_t | | | 98.93 96 | 98.67 109 | 99.72 49 | 99.85 23 | 99.53 58 | 99.62 82 | 99.59 38 | 92.65 320 | 99.71 32 | 99.78 78 | 98.06 81 | 99.90 87 | 98.84 66 | 99.91 17 | 99.74 61 |
|
Vis-MVSNet (Re-imp) | | | 98.87 99 | 98.72 103 | 99.31 112 | 99.71 82 | 98.88 141 | 99.80 19 | 99.44 158 | 97.91 115 | 99.36 114 | 99.78 78 | 95.49 147 | 99.43 224 | 97.91 150 | 99.11 127 | 99.62 103 |
|
anonymousdsp | | | 98.44 133 | 98.28 138 | 98.94 159 | 98.50 306 | 98.96 130 | 99.77 24 | 99.50 99 | 97.07 199 | 98.87 213 | 99.77 85 | 94.76 187 | 99.28 252 | 98.66 86 | 97.60 214 | 98.57 286 |
|
CDS-MVSNet | | | 99.09 77 | 99.03 65 | 99.25 125 | 99.42 150 | 98.73 170 | 99.45 155 | 99.46 139 | 98.11 86 | 99.46 91 | 99.77 85 | 98.01 82 | 99.37 229 | 98.70 81 | 98.92 145 | 99.66 88 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
MSDG | | | 98.98 92 | 98.80 96 | 99.53 81 | 99.76 44 | 99.19 93 | 98.75 312 | 99.55 55 | 97.25 176 | 99.47 89 | 99.77 85 | 97.82 86 | 99.87 104 | 96.93 229 | 99.90 25 | 99.54 115 |
|
CHOSEN 280x420 | | | 99.12 69 | 99.13 53 | 99.08 142 | 99.66 103 | 97.89 219 | 98.43 327 | 99.71 13 | 98.88 30 | 99.62 57 | 99.76 88 | 96.63 117 | 99.70 185 | 99.46 14 | 99.99 1 | 99.66 88 |
|
PS-MVSNAJss | | | 98.92 97 | 98.92 79 | 98.90 175 | 98.78 281 | 98.53 189 | 99.78 22 | 99.54 62 | 98.07 93 | 99.00 199 | 99.76 88 | 99.01 12 | 99.37 229 | 99.13 39 | 97.23 238 | 98.81 201 |
|
Regformer-1 | | | 99.53 9 | 99.47 8 | 99.72 49 | 99.71 82 | 99.44 70 | 99.49 142 | 99.46 139 | 98.95 24 | 99.83 12 | 99.76 88 | 99.01 12 | 99.93 57 | 99.17 36 | 99.87 39 | 99.80 42 |
|
Regformer-2 | | | 99.54 7 | 99.47 8 | 99.75 40 | 99.71 82 | 99.52 61 | 99.49 142 | 99.49 105 | 98.94 26 | 99.83 12 | 99.76 88 | 99.01 12 | 99.94 42 | 99.15 38 | 99.87 39 | 99.80 42 |
|
MVS_Test | | | 99.10 76 | 98.97 73 | 99.48 90 | 99.49 139 | 99.14 100 | 99.67 56 | 99.34 206 | 97.31 171 | 99.58 65 | 99.76 88 | 97.65 91 | 99.82 135 | 98.87 61 | 99.07 132 | 99.46 138 |
|
CANet_DTU | | | 98.97 94 | 98.87 86 | 99.25 125 | 99.33 170 | 98.42 201 | 99.08 262 | 99.30 223 | 99.16 5 | 99.43 96 | 99.75 93 | 95.27 152 | 99.97 11 | 98.56 101 | 99.95 6 | 99.36 149 |
|
mPP-MVS | | | 99.44 26 | 99.30 34 | 99.86 13 | 99.88 11 | 99.79 19 | 99.69 45 | 99.48 114 | 98.12 84 | 99.50 84 | 99.75 93 | 98.78 39 | 99.97 11 | 98.57 98 | 99.89 33 | 99.83 23 |
|
HPM-MVS_fast | | | 99.51 12 | 99.40 14 | 99.85 19 | 99.91 1 | 99.79 19 | 99.76 27 | 99.56 48 | 97.72 135 | 99.76 29 | 99.75 93 | 99.13 7 | 99.92 65 | 99.07 44 | 99.92 12 | 99.85 8 |
|
HyFIR lowres test | | | 99.11 73 | 98.92 79 | 99.65 59 | 99.90 3 | 99.37 76 | 99.02 278 | 99.91 3 | 97.67 141 | 99.59 64 | 99.75 93 | 95.90 136 | 99.73 169 | 99.53 6 | 99.02 135 | 99.86 5 |
|
ITE_SJBPF | | | | | 98.08 266 | 99.29 182 | 96.37 278 | | 98.92 278 | 98.34 66 | 98.83 220 | 99.75 93 | 91.09 288 | 99.62 202 | 95.82 264 | 97.40 232 | 98.25 304 |
|
XVS | | | 99.53 9 | 99.42 11 | 99.87 6 | 99.85 23 | 99.83 8 | 99.69 45 | 99.68 19 | 98.98 19 | 99.37 110 | 99.74 98 | 98.81 36 | 99.94 42 | 98.79 72 | 99.86 49 | 99.84 12 |
|
MP-MVS | | | 99.33 42 | 99.15 51 | 99.87 6 | 99.88 11 | 99.82 13 | 99.66 65 | 99.46 139 | 98.09 89 | 99.48 88 | 99.74 98 | 98.29 73 | 99.96 19 | 97.93 149 | 99.87 39 | 99.82 32 |
|
MVS_111021_LR | | | 99.41 33 | 99.33 26 | 99.65 59 | 99.77 41 | 99.51 63 | 98.94 299 | 99.85 6 | 98.82 35 | 99.65 52 | 99.74 98 | 98.51 59 | 99.80 143 | 98.83 68 | 99.89 33 | 99.64 97 |
|
VPNet | | | 97.84 205 | 97.44 227 | 99.01 149 | 99.21 195 | 98.94 134 | 99.48 147 | 99.57 44 | 98.38 64 | 99.28 132 | 99.73 101 | 88.89 308 | 99.39 225 | 99.19 33 | 93.27 309 | 98.71 217 |
|
MVSTER | | | 98.49 130 | 98.32 135 | 99.00 151 | 99.35 166 | 99.02 117 | 99.54 121 | 99.38 186 | 97.41 164 | 99.20 161 | 99.73 101 | 93.86 223 | 99.36 233 | 98.87 61 | 97.56 218 | 98.62 266 |
|
MVS_111021_HR | | | 99.41 33 | 99.32 27 | 99.66 55 | 99.72 76 | 99.47 67 | 98.95 297 | 99.85 6 | 98.82 35 | 99.54 78 | 99.73 101 | 98.51 59 | 99.74 161 | 98.91 56 | 99.88 35 | 99.77 52 |
|
PHI-MVS | | | 99.30 46 | 99.17 50 | 99.70 51 | 99.56 127 | 99.52 61 | 99.58 99 | 99.80 8 | 97.12 188 | 99.62 57 | 99.73 101 | 98.58 58 | 99.90 87 | 98.61 93 | 99.91 17 | 99.68 84 |
|
semantic-postprocess | | | | | 98.06 267 | 99.57 124 | 96.36 279 | | 99.49 105 | 97.18 182 | 98.71 230 | 99.72 105 | 92.70 247 | 99.14 274 | 97.44 197 | 95.86 262 | 98.67 242 |
|
XVG-OURS-SEG-HR | | | 98.69 122 | 98.62 117 | 98.89 177 | 99.71 82 | 97.74 231 | 99.12 252 | 99.54 62 | 98.44 62 | 99.42 99 | 99.71 106 | 94.20 209 | 99.92 65 | 98.54 106 | 98.90 147 | 99.00 179 |
|
EPNet_dtu | | | 98.03 178 | 97.96 159 | 98.23 257 | 98.27 311 | 95.54 294 | 99.23 232 | 98.75 296 | 99.02 10 | 97.82 284 | 99.71 106 | 96.11 130 | 99.48 212 | 93.04 314 | 99.65 100 | 99.69 80 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
CNVR-MVS | | | 99.42 30 | 99.30 34 | 99.78 35 | 99.62 113 | 99.71 29 | 99.26 227 | 99.52 76 | 98.82 35 | 99.39 106 | 99.71 106 | 98.96 21 | 99.85 113 | 98.59 95 | 99.80 71 | 99.77 52 |
|
tfpnnormal | | | 97.84 205 | 97.47 219 | 98.98 153 | 99.20 197 | 99.22 92 | 99.64 77 | 99.61 32 | 96.32 249 | 98.27 268 | 99.70 109 | 93.35 231 | 99.44 220 | 95.69 268 | 95.40 269 | 98.27 302 |
|
v7n | | | 97.87 201 | 97.52 210 | 98.92 167 | 98.76 285 | 98.58 186 | 99.84 9 | 99.46 139 | 96.20 260 | 98.91 208 | 99.70 109 | 94.89 175 | 99.44 220 | 96.03 261 | 93.89 304 | 98.75 210 |
|
testdata | | | | | 99.54 77 | 99.75 56 | 98.95 131 | | 99.51 85 | 97.07 199 | 99.43 96 | 99.70 109 | 98.87 31 | 99.94 42 | 97.76 164 | 99.64 101 | 99.72 72 |
|
IterMVS | | | 97.83 207 | 97.77 186 | 98.02 270 | 99.58 122 | 96.27 282 | 99.02 278 | 99.48 114 | 97.22 180 | 98.71 230 | 99.70 109 | 92.75 241 | 99.13 277 | 97.46 195 | 96.00 260 | 98.67 242 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
PCF-MVS | | 97.08 14 | 97.66 239 | 97.06 257 | 99.47 93 | 99.61 117 | 99.09 104 | 98.04 338 | 99.25 242 | 91.24 327 | 98.51 253 | 99.70 109 | 94.55 197 | 99.91 74 | 92.76 317 | 99.85 53 | 99.42 144 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
LTVRE_ROB | | 97.16 12 | 98.02 180 | 97.90 163 | 98.40 239 | 99.23 192 | 96.80 266 | 99.70 42 | 99.60 35 | 97.12 188 | 98.18 270 | 99.70 109 | 91.73 279 | 99.72 173 | 98.39 115 | 97.45 228 | 98.68 231 |
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 |
HFP-MVS | | | 99.49 13 | 99.37 17 | 99.86 13 | 99.87 15 | 99.80 15 | 99.66 65 | 99.67 22 | 98.15 80 | 99.68 38 | 99.69 115 | 99.06 9 | 99.96 19 | 98.69 83 | 99.87 39 | 99.84 12 |
|
#test# | | | 99.43 28 | 99.29 37 | 99.86 13 | 99.87 15 | 99.80 15 | 99.55 118 | 99.67 22 | 97.83 122 | 99.68 38 | 99.69 115 | 99.06 9 | 99.96 19 | 98.39 115 | 99.87 39 | 99.84 12 |
|
旧先验1 | | | | | | 99.74 67 | 99.59 49 | | 99.54 62 | | | 99.69 115 | 98.47 61 | | | 99.68 96 | 99.73 66 |
|
ACMMPR | | | 99.49 13 | 99.36 19 | 99.86 13 | 99.87 15 | 99.79 19 | 99.66 65 | 99.67 22 | 98.15 80 | 99.67 44 | 99.69 115 | 98.95 26 | 99.96 19 | 98.69 83 | 99.87 39 | 99.84 12 |
|
CPTT-MVS | | | 99.11 73 | 98.90 82 | 99.74 45 | 99.80 34 | 99.46 68 | 99.59 92 | 99.49 105 | 97.03 203 | 99.63 54 | 99.69 115 | 97.27 100 | 99.96 19 | 97.82 157 | 99.84 58 | 99.81 36 |
|
region2R | | | 99.48 17 | 99.35 22 | 99.87 6 | 99.88 11 | 99.80 15 | 99.65 75 | 99.66 25 | 98.13 82 | 99.66 49 | 99.68 120 | 98.96 21 | 99.96 19 | 98.62 91 | 99.87 39 | 99.84 12 |
|
PS-CasMVS | | | 97.93 194 | 97.59 207 | 98.95 158 | 98.99 236 | 99.06 107 | 99.68 54 | 99.52 76 | 97.13 186 | 98.31 265 | 99.68 120 | 92.44 264 | 99.05 285 | 98.51 107 | 94.08 300 | 98.75 210 |
|
HY-MVS | | 97.30 7 | 98.85 108 | 98.64 113 | 99.47 93 | 99.42 150 | 99.08 105 | 99.62 82 | 99.36 194 | 97.39 166 | 99.28 132 | 99.68 120 | 96.44 121 | 99.92 65 | 98.37 118 | 98.22 180 | 99.40 146 |
|
DP-MVS Recon | | | 99.12 69 | 98.95 77 | 99.65 59 | 99.74 67 | 99.70 31 | 99.27 219 | 99.57 44 | 96.40 246 | 99.42 99 | 99.68 120 | 98.75 47 | 99.80 143 | 97.98 145 | 99.72 86 | 99.44 141 |
|
ADS-MVSNet2 | | | 98.02 180 | 98.07 151 | 97.87 280 | 99.33 170 | 95.19 302 | 99.23 232 | 99.08 259 | 96.24 257 | 99.10 177 | 99.67 124 | 94.11 214 | 98.93 301 | 96.81 239 | 99.05 133 | 99.48 131 |
|
ADS-MVSNet | | | 98.20 155 | 98.08 149 | 98.56 222 | 99.33 170 | 96.48 275 | 99.23 232 | 99.15 252 | 96.24 257 | 99.10 177 | 99.67 124 | 94.11 214 | 99.71 179 | 96.81 239 | 99.05 133 | 99.48 131 |
|
diffmvs | | | 98.72 120 | 98.49 126 | 99.43 102 | 99.48 142 | 99.19 93 | 99.62 82 | 99.42 167 | 95.58 280 | 99.37 110 | 99.67 124 | 96.14 129 | 99.74 161 | 98.14 132 | 98.96 140 | 99.37 148 |
|
DTE-MVSNet | | | 97.51 249 | 97.19 254 | 98.46 232 | 98.63 299 | 98.13 210 | 99.84 9 | 99.48 114 | 96.68 221 | 97.97 280 | 99.67 124 | 92.92 237 | 98.56 308 | 96.88 238 | 92.60 317 | 98.70 221 |
|
Baseline_NR-MVSNet | | | 97.76 220 | 97.45 222 | 98.68 212 | 99.09 222 | 98.29 203 | 99.41 175 | 98.85 287 | 95.65 279 | 98.63 247 | 99.67 124 | 94.82 179 | 99.10 282 | 98.07 141 | 92.89 313 | 98.64 258 |
|
CMPMVS | | 69.68 23 | 94.13 305 | 94.90 297 | 91.84 325 | 97.24 326 | 80.01 346 | 98.52 324 | 99.48 114 | 89.01 334 | 91.99 332 | 99.67 124 | 85.67 330 | 99.13 277 | 95.44 273 | 97.03 243 | 96.39 336 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
原ACMM1 | | | | | 99.65 59 | 99.73 72 | 99.33 79 | | 99.47 130 | 97.46 157 | 99.12 172 | 99.66 130 | 98.67 54 | 99.91 74 | 97.70 173 | 99.69 93 | 99.71 79 |
|
MVS_0304 | | | 99.06 81 | 98.86 89 | 99.66 55 | 99.51 132 | 99.36 77 | 99.22 236 | 99.51 85 | 98.95 24 | 99.58 65 | 99.65 131 | 93.74 228 | 99.98 5 | 99.66 1 | 99.95 6 | 99.64 97 |
|
test222 | | | | | | 99.75 56 | 99.49 64 | 98.91 302 | 99.49 105 | 96.42 243 | 99.34 120 | 99.65 131 | 98.28 74 | | | 99.69 93 | 99.72 72 |
|
1121 | | | 99.09 77 | 98.87 86 | 99.75 40 | 99.74 67 | 99.60 47 | 99.27 219 | 99.48 114 | 96.82 215 | 99.25 144 | 99.65 131 | 98.38 68 | 99.93 57 | 97.53 187 | 99.67 97 | 99.73 66 |
|
MVSFormer | | | 99.17 60 | 99.12 55 | 99.29 118 | 99.51 132 | 98.94 134 | 99.88 1 | 99.46 139 | 97.55 150 | 99.80 17 | 99.65 131 | 97.39 95 | 99.28 252 | 99.03 46 | 99.85 53 | 99.65 91 |
|
jason | | | 99.13 64 | 99.03 65 | 99.45 96 | 99.46 144 | 98.87 142 | 99.12 252 | 99.26 240 | 98.03 101 | 99.79 19 | 99.65 131 | 97.02 105 | 99.85 113 | 99.02 48 | 99.90 25 | 99.65 91 |
jason: jason. |
BH-RMVSNet | | | 98.41 136 | 98.08 149 | 99.40 104 | 99.41 153 | 98.83 149 | 99.30 209 | 98.77 295 | 97.70 138 | 98.94 205 | 99.65 131 | 92.91 239 | 99.74 161 | 96.52 252 | 99.55 105 | 99.64 97 |
|
sss | | | 99.17 60 | 99.05 60 | 99.53 81 | 99.62 113 | 98.97 126 | 99.36 195 | 99.62 31 | 97.83 122 | 99.67 44 | 99.65 131 | 97.37 98 | 99.95 33 | 99.19 33 | 99.19 123 | 99.68 84 |
|
新几何1 | | | | | 99.75 40 | 99.75 56 | 99.59 49 | | 99.54 62 | 96.76 216 | 99.29 128 | 99.64 138 | 98.43 64 | 99.94 42 | 96.92 230 | 99.66 98 | 99.72 72 |
|
PEN-MVS | | | 97.76 220 | 97.44 227 | 98.72 209 | 98.77 284 | 98.54 188 | 99.78 22 | 99.51 85 | 97.06 201 | 98.29 267 | 99.64 138 | 92.63 255 | 98.89 302 | 98.09 135 | 93.16 310 | 98.72 215 |
|
CP-MVSNet | | | 98.09 167 | 97.78 182 | 99.01 149 | 98.97 243 | 99.24 90 | 99.67 56 | 99.46 139 | 97.25 176 | 98.48 256 | 99.64 138 | 93.79 224 | 99.06 284 | 98.63 89 | 94.10 299 | 98.74 213 |
|
LF4IMVS | | | 97.52 246 | 97.46 221 | 97.70 292 | 98.98 240 | 95.55 292 | 99.29 213 | 98.82 290 | 98.07 93 | 98.66 239 | 99.64 138 | 89.97 299 | 99.61 203 | 97.01 221 | 96.68 245 | 97.94 315 |
|
HPM-MVS | | | 99.42 30 | 99.28 39 | 99.83 24 | 99.90 3 | 99.72 28 | 99.81 15 | 99.54 62 | 97.59 145 | 99.68 38 | 99.63 142 | 98.91 29 | 99.94 42 | 98.58 96 | 99.91 17 | 99.84 12 |
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
NCCC | | | 99.34 41 | 99.19 48 | 99.79 34 | 99.61 117 | 99.65 40 | 99.30 209 | 99.48 114 | 98.86 31 | 99.21 158 | 99.63 142 | 98.72 50 | 99.90 87 | 98.25 126 | 99.63 103 | 99.80 42 |
|
CP-MVS | | | 99.45 23 | 99.32 27 | 99.85 19 | 99.83 28 | 99.75 24 | 99.69 45 | 99.52 76 | 98.07 93 | 99.53 79 | 99.63 142 | 98.93 28 | 99.97 11 | 98.74 76 | 99.91 17 | 99.83 23 |
|
AdaColmap | | | 99.01 90 | 98.80 96 | 99.66 55 | 99.56 127 | 99.54 55 | 99.18 243 | 99.70 15 | 98.18 79 | 99.35 117 | 99.63 142 | 96.32 124 | 99.90 87 | 97.48 192 | 99.77 77 | 99.55 113 |
|
TAPA-MVS | | 97.07 15 | 97.74 226 | 97.34 242 | 98.94 159 | 99.70 87 | 97.53 234 | 99.25 229 | 99.51 85 | 91.90 324 | 99.30 124 | 99.63 142 | 98.78 39 | 99.64 196 | 88.09 331 | 99.87 39 | 99.65 91 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
MCST-MVS | | | 99.43 28 | 99.30 34 | 99.82 26 | 99.79 35 | 99.74 27 | 99.29 213 | 99.40 177 | 98.79 40 | 99.52 81 | 99.62 147 | 98.91 29 | 99.90 87 | 98.64 88 | 99.75 80 | 99.82 32 |
|
WTY-MVS | | | 99.06 81 | 98.88 85 | 99.61 68 | 99.62 113 | 99.16 96 | 99.37 189 | 99.56 48 | 98.04 99 | 99.53 79 | 99.62 147 | 96.84 109 | 99.94 42 | 98.85 65 | 98.49 168 | 99.72 72 |
|
MDTV_nov1_ep13 | | | | 98.32 135 | | 99.11 217 | 94.44 311 | 99.27 219 | 98.74 299 | 97.51 154 | 99.40 105 | 99.62 147 | 94.78 182 | 99.76 159 | 97.59 179 | 98.81 154 | |
|
CANet | | | 99.25 54 | 99.14 52 | 99.59 70 | 99.41 153 | 99.16 96 | 99.35 199 | 99.57 44 | 98.82 35 | 99.51 83 | 99.61 150 | 96.46 120 | 99.95 33 | 99.59 2 | 99.98 2 | 99.65 91 |
|
HQP_MVS | | | 98.27 145 | 98.22 141 | 98.44 236 | 99.29 182 | 96.97 258 | 99.39 182 | 99.47 130 | 98.97 22 | 99.11 174 | 99.61 150 | 92.71 245 | 99.69 188 | 97.78 161 | 97.63 211 | 98.67 242 |
|
plane_prior4 | | | | | | | | | | | | 99.61 150 | | | | | |
|
Patchmatch-test1 | | | 98.16 159 | 98.14 143 | 98.22 259 | 99.30 179 | 95.55 292 | 99.07 263 | 98.97 272 | 97.57 148 | 99.43 96 | 99.60 153 | 92.72 244 | 99.60 204 | 97.38 200 | 99.20 122 | 99.50 128 |
|
TranMVSNet+NR-MVSNet | | | 97.93 194 | 97.66 197 | 98.76 207 | 98.78 281 | 98.62 182 | 99.65 75 | 99.49 105 | 97.76 130 | 98.49 255 | 99.60 153 | 94.23 208 | 98.97 300 | 98.00 144 | 92.90 312 | 98.70 221 |
|
tpmrst | | | 98.33 140 | 98.48 127 | 97.90 279 | 99.16 209 | 94.78 307 | 99.31 207 | 99.11 256 | 97.27 174 | 99.45 92 | 99.59 155 | 95.33 149 | 99.84 119 | 98.48 109 | 98.61 158 | 99.09 168 |
|
IterMVS-LS | | | 98.46 132 | 98.42 129 | 98.58 219 | 99.59 121 | 98.00 213 | 99.37 189 | 99.43 166 | 96.94 208 | 99.07 183 | 99.59 155 | 97.87 84 | 99.03 288 | 98.32 124 | 95.62 266 | 98.71 217 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
F-COLMAP | | | 99.19 57 | 99.04 63 | 99.64 64 | 99.78 36 | 99.27 87 | 99.42 171 | 99.54 62 | 97.29 173 | 99.41 101 | 99.59 155 | 98.42 67 | 99.93 57 | 98.19 128 | 99.69 93 | 99.73 66 |
|
pmmvs4 | | | 98.13 161 | 97.90 163 | 98.81 199 | 98.61 300 | 98.87 142 | 98.99 284 | 99.21 246 | 96.44 241 | 99.06 187 | 99.58 158 | 95.90 136 | 99.11 280 | 97.18 211 | 96.11 258 | 98.46 294 |
|
1112_ss | | | 98.98 92 | 98.77 99 | 99.59 70 | 99.68 92 | 99.02 117 | 99.25 229 | 99.48 114 | 97.23 179 | 99.13 170 | 99.58 158 | 96.93 108 | 99.90 87 | 98.87 61 | 98.78 155 | 99.84 12 |
|
ab-mvs-re | | | 8.30 334 | 11.06 335 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 99.58 158 | 0.00 364 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
PatchmatchNet | | | 98.31 142 | 98.36 131 | 98.19 262 | 99.16 209 | 95.32 299 | 99.27 219 | 98.92 278 | 97.37 167 | 99.37 110 | 99.58 158 | 94.90 174 | 99.70 185 | 97.43 198 | 99.21 121 | 99.54 115 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
Patchmatch-test | | | 97.93 194 | 97.65 202 | 98.77 205 | 99.18 202 | 97.07 249 | 99.03 275 | 99.14 254 | 96.16 264 | 98.74 227 | 99.57 162 | 94.56 196 | 99.72 173 | 93.36 309 | 99.11 127 | 99.52 120 |
|
PVSNet | | 96.02 17 | 98.85 108 | 98.84 92 | 98.89 177 | 99.73 72 | 97.28 237 | 98.32 331 | 99.60 35 | 97.86 117 | 99.50 84 | 99.57 162 | 96.75 114 | 99.86 107 | 98.56 101 | 99.70 92 | 99.54 115 |
|
cdsmvs_eth3d_5k | | | 24.64 333 | 32.85 334 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 99.51 85 | 0.00 356 | 0.00 357 | 99.56 164 | 96.58 118 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
1314 | | | 98.68 123 | 98.54 125 | 99.11 141 | 98.89 264 | 98.65 178 | 99.27 219 | 99.49 105 | 96.89 211 | 97.99 279 | 99.56 164 | 97.72 90 | 99.83 126 | 97.74 167 | 99.27 119 | 98.84 199 |
|
lupinMVS | | | 99.13 64 | 99.01 69 | 99.46 95 | 99.51 132 | 98.94 134 | 99.05 269 | 99.16 251 | 97.86 117 | 99.80 17 | 99.56 164 | 97.39 95 | 99.86 107 | 98.94 54 | 99.85 53 | 99.58 111 |
|
CDPH-MVS | | | 99.13 64 | 98.91 81 | 99.80 31 | 99.75 56 | 99.71 29 | 99.15 248 | 99.41 170 | 96.60 228 | 99.60 61 | 99.55 167 | 98.83 34 | 99.90 87 | 97.48 192 | 99.83 64 | 99.78 50 |
|
dp | | | 97.75 224 | 97.80 179 | 97.59 293 | 99.10 220 | 93.71 319 | 99.32 204 | 98.88 285 | 96.48 239 | 99.08 182 | 99.55 167 | 92.67 254 | 99.82 135 | 96.52 252 | 98.58 161 | 99.24 157 |
|
CLD-MVS | | | 98.16 159 | 98.10 146 | 98.33 243 | 99.29 182 | 96.82 265 | 98.75 312 | 99.44 158 | 97.83 122 | 99.13 170 | 99.55 167 | 92.92 237 | 99.67 190 | 98.32 124 | 97.69 210 | 98.48 291 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
conf0.01 | | | 98.21 153 | 97.89 167 | 99.15 136 | 99.76 44 | 99.04 109 | 99.67 56 | 97.71 334 | 97.10 192 | 99.55 72 | 99.54 170 | 92.70 247 | 99.79 146 | 96.90 232 | 98.12 194 | 98.61 275 |
|
conf0.002 | | | 98.21 153 | 97.89 167 | 99.15 136 | 99.76 44 | 99.04 109 | 99.67 56 | 97.71 334 | 97.10 192 | 99.55 72 | 99.54 170 | 92.70 247 | 99.79 146 | 96.90 232 | 98.12 194 | 98.61 275 |
|
thresconf0.02 | | | 98.24 146 | 97.89 167 | 99.27 121 | 99.76 44 | 99.04 109 | 99.67 56 | 97.71 334 | 97.10 192 | 99.55 72 | 99.54 170 | 92.70 247 | 99.79 146 | 96.90 232 | 98.12 194 | 98.97 183 |
|
tfpn_n400 | | | 98.24 146 | 97.89 167 | 99.27 121 | 99.76 44 | 99.04 109 | 99.67 56 | 97.71 334 | 97.10 192 | 99.55 72 | 99.54 170 | 92.70 247 | 99.79 146 | 96.90 232 | 98.12 194 | 98.97 183 |
|
tfpnconf | | | 98.24 146 | 97.89 167 | 99.27 121 | 99.76 44 | 99.04 109 | 99.67 56 | 97.71 334 | 97.10 192 | 99.55 72 | 99.54 170 | 92.70 247 | 99.79 146 | 96.90 232 | 98.12 194 | 98.97 183 |
|
tfpnview11 | | | 98.24 146 | 97.89 167 | 99.27 121 | 99.76 44 | 99.04 109 | 99.67 56 | 97.71 334 | 97.10 192 | 99.55 72 | 99.54 170 | 92.70 247 | 99.79 146 | 96.90 232 | 98.12 194 | 98.97 183 |
|
MVS | | | 97.28 259 | 96.55 266 | 99.48 90 | 98.78 281 | 98.95 131 | 99.27 219 | 99.39 180 | 83.53 340 | 98.08 274 | 99.54 170 | 96.97 106 | 99.87 104 | 94.23 301 | 99.16 124 | 99.63 101 |
|
tfpn1000 | | | 98.33 140 | 98.02 154 | 99.25 125 | 99.78 36 | 98.73 170 | 99.70 42 | 97.55 342 | 97.48 156 | 99.69 37 | 99.53 177 | 92.37 265 | 99.85 113 | 97.82 157 | 98.26 179 | 99.16 160 |
|
pmmvs5 | | | 97.52 246 | 97.30 247 | 98.16 264 | 98.57 303 | 96.73 267 | 99.27 219 | 98.90 283 | 96.14 267 | 98.37 261 | 99.53 177 | 91.54 285 | 99.14 274 | 97.51 189 | 95.87 261 | 98.63 264 |
|
v748 | | | 97.52 246 | 97.23 252 | 98.41 238 | 98.69 293 | 97.23 242 | 99.87 4 | 99.45 150 | 95.72 277 | 98.51 253 | 99.53 177 | 94.13 213 | 99.30 249 | 96.78 241 | 92.39 318 | 98.70 221 |
|
HPM-MVS++ | | | 99.39 37 | 99.23 46 | 99.87 6 | 99.75 56 | 99.84 7 | 99.43 164 | 99.51 85 | 98.68 47 | 99.27 136 | 99.53 177 | 98.64 55 | 99.96 19 | 98.44 114 | 99.80 71 | 99.79 46 |
|
PatchMatch-RL | | | 98.84 110 | 98.62 117 | 99.52 85 | 99.71 82 | 99.28 85 | 99.06 267 | 99.77 9 | 97.74 133 | 99.50 84 | 99.53 177 | 95.41 148 | 99.84 119 | 97.17 212 | 99.64 101 | 99.44 141 |
|
test_prior3 | | | 99.21 56 | 99.05 60 | 99.68 52 | 99.67 93 | 99.48 65 | 98.96 293 | 99.56 48 | 98.34 66 | 99.01 192 | 99.52 182 | 98.68 52 | 99.83 126 | 97.96 146 | 99.74 82 | 99.74 61 |
|
test_prior2 | | | | | | | | 98.96 293 | | 98.34 66 | 99.01 192 | 99.52 182 | 98.68 52 | | 97.96 146 | 99.74 82 | |
|
test_0402 | | | 96.64 268 | 96.24 269 | 97.85 282 | 98.85 272 | 96.43 277 | 99.44 159 | 99.26 240 | 93.52 312 | 96.98 298 | 99.52 182 | 88.52 315 | 99.20 272 | 92.58 319 | 97.50 223 | 97.93 316 |
|
v148 | | | 97.79 216 | 97.55 208 | 98.50 226 | 98.74 286 | 97.72 233 | 99.54 121 | 99.33 214 | 96.26 255 | 98.90 210 | 99.51 185 | 94.68 191 | 99.14 274 | 97.83 156 | 93.15 311 | 98.63 264 |
|
v7 | | | 98.05 175 | 97.78 182 | 98.87 188 | 98.99 236 | 98.67 175 | 99.64 77 | 99.34 206 | 96.31 251 | 99.29 128 | 99.51 185 | 94.78 182 | 99.27 255 | 97.03 220 | 95.15 275 | 98.66 253 |
|
DU-MVS | | | 98.08 168 | 97.79 180 | 98.96 156 | 98.87 268 | 98.98 123 | 99.41 175 | 99.45 150 | 97.87 116 | 98.71 230 | 99.50 187 | 94.82 179 | 99.22 267 | 98.57 98 | 92.87 314 | 98.68 231 |
|
NR-MVSNet | | | 97.97 188 | 97.61 205 | 99.02 148 | 98.87 268 | 99.26 88 | 99.47 151 | 99.42 167 | 97.63 143 | 97.08 295 | 99.50 187 | 95.07 162 | 99.13 277 | 97.86 154 | 93.59 306 | 98.68 231 |
|
XVG-ACMP-BASELINE | | | 97.83 207 | 97.71 195 | 98.20 261 | 99.11 217 | 96.33 280 | 99.41 175 | 99.52 76 | 98.06 97 | 99.05 188 | 99.50 187 | 89.64 302 | 99.73 169 | 97.73 168 | 97.38 234 | 98.53 288 |
|
HSP-MVS | | | 99.41 33 | 99.26 44 | 99.85 19 | 99.89 8 | 99.80 15 | 99.67 56 | 99.37 193 | 98.70 45 | 99.77 24 | 99.49 190 | 98.21 76 | 99.95 33 | 98.46 112 | 99.77 77 | 99.81 36 |
|
TEST9 | | | | | | 99.67 93 | 99.65 40 | 99.05 269 | 99.41 170 | 96.22 259 | 98.95 203 | 99.49 190 | 98.77 42 | 99.91 74 | | | |
|
train_agg | | | 99.02 87 | 98.77 99 | 99.77 37 | 99.67 93 | 99.65 40 | 99.05 269 | 99.41 170 | 96.28 252 | 98.95 203 | 99.49 190 | 98.76 44 | 99.91 74 | 97.63 177 | 99.72 86 | 99.75 56 |
|
agg_prior1 | | | 99.01 90 | 98.76 101 | 99.76 39 | 99.67 93 | 99.62 43 | 98.99 284 | 99.40 177 | 96.26 255 | 98.87 213 | 99.49 190 | 98.77 42 | 99.91 74 | 97.69 174 | 99.72 86 | 99.75 56 |
|
PVSNet_Blended | | | 99.08 79 | 98.97 73 | 99.42 103 | 99.76 44 | 98.79 165 | 98.78 309 | 99.91 3 | 96.74 217 | 99.67 44 | 99.49 190 | 97.53 92 | 99.88 102 | 98.98 51 | 99.85 53 | 99.60 105 |
|
CNLPA | | | 99.14 63 | 98.99 70 | 99.59 70 | 99.58 122 | 99.41 73 | 99.16 245 | 99.44 158 | 98.45 59 | 99.19 164 | 99.49 190 | 98.08 80 | 99.89 95 | 97.73 168 | 99.75 80 | 99.48 131 |
|
test_8 | | | | | | 99.67 93 | 99.61 45 | 99.03 275 | 99.41 170 | 96.28 252 | 98.93 206 | 99.48 196 | 98.76 44 | 99.91 74 | | | |
|
agg_prior3 | | | 98.97 94 | 98.71 105 | 99.75 40 | 99.67 93 | 99.60 47 | 99.04 274 | 99.41 170 | 95.93 274 | 98.87 213 | 99.48 196 | 98.61 56 | 99.91 74 | 97.63 177 | 99.72 86 | 99.75 56 |
|
EPMVS | | | 97.82 210 | 97.65 202 | 98.35 242 | 98.88 265 | 95.98 286 | 99.49 142 | 94.71 350 | 97.57 148 | 99.26 140 | 99.48 196 | 92.46 263 | 99.71 179 | 97.87 153 | 99.08 131 | 99.35 150 |
|
PLC | | 97.94 4 | 99.02 87 | 98.85 91 | 99.53 81 | 99.66 103 | 99.01 119 | 99.24 231 | 99.52 76 | 96.85 213 | 99.27 136 | 99.48 196 | 98.25 75 | 99.91 74 | 97.76 164 | 99.62 104 | 99.65 91 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
xiu_mvs_v1_base_debu | | | 99.29 48 | 99.27 41 | 99.34 107 | 99.63 109 | 98.97 126 | 99.12 252 | 99.51 85 | 98.86 31 | 99.84 8 | 99.47 200 | 98.18 77 | 99.99 1 | 99.50 8 | 99.31 116 | 99.08 169 |
|
xiu_mvs_v1_base | | | 99.29 48 | 99.27 41 | 99.34 107 | 99.63 109 | 98.97 126 | 99.12 252 | 99.51 85 | 98.86 31 | 99.84 8 | 99.47 200 | 98.18 77 | 99.99 1 | 99.50 8 | 99.31 116 | 99.08 169 |
|
xiu_mvs_v1_base_debi | | | 99.29 48 | 99.27 41 | 99.34 107 | 99.63 109 | 98.97 126 | 99.12 252 | 99.51 85 | 98.86 31 | 99.84 8 | 99.47 200 | 98.18 77 | 99.99 1 | 99.50 8 | 99.31 116 | 99.08 169 |
|
v1921920 | | | 97.80 214 | 97.45 222 | 98.84 196 | 98.80 275 | 98.53 189 | 99.52 125 | 99.34 206 | 96.15 266 | 99.24 149 | 99.47 200 | 93.98 218 | 99.29 251 | 95.40 275 | 95.13 276 | 98.69 226 |
|
v52 | | | 97.79 216 | 97.50 214 | 98.66 215 | 98.80 275 | 98.62 182 | 99.87 4 | 99.44 158 | 95.87 275 | 99.01 192 | 99.46 204 | 94.44 203 | 99.33 240 | 96.65 250 | 93.96 303 | 98.05 308 |
|
V4 | | | 97.80 214 | 97.51 212 | 98.67 214 | 98.79 277 | 98.63 180 | 99.87 4 | 99.44 158 | 95.87 275 | 99.01 192 | 99.46 204 | 94.52 199 | 99.33 240 | 96.64 251 | 93.97 302 | 98.05 308 |
|
UniMVSNet_NR-MVSNet | | | 98.22 150 | 97.97 158 | 98.96 156 | 98.92 258 | 98.98 123 | 99.48 147 | 99.53 72 | 97.76 130 | 98.71 230 | 99.46 204 | 96.43 122 | 99.22 267 | 98.57 98 | 92.87 314 | 98.69 226 |
|
testgi | | | 97.65 240 | 97.50 214 | 98.13 265 | 99.36 165 | 96.45 276 | 99.42 171 | 99.48 114 | 97.76 130 | 97.87 282 | 99.45 207 | 91.09 288 | 98.81 304 | 94.53 288 | 98.52 166 | 99.13 163 |
|
tpm2 | | | 97.44 254 | 97.34 242 | 97.74 290 | 99.15 212 | 94.36 312 | 99.45 155 | 98.94 275 | 93.45 315 | 98.90 210 | 99.44 208 | 91.35 286 | 99.59 206 | 97.31 203 | 98.07 201 | 99.29 154 |
|
mvs-test1 | | | 98.86 102 | 98.84 92 | 98.89 177 | 99.33 170 | 97.77 230 | 99.44 159 | 99.30 223 | 98.47 57 | 99.10 177 | 99.43 209 | 96.78 111 | 99.95 33 | 98.73 78 | 99.02 135 | 98.96 189 |
|
WR-MVS | | | 98.06 169 | 97.73 193 | 99.06 144 | 98.86 271 | 99.25 89 | 99.19 242 | 99.35 198 | 97.30 172 | 98.66 239 | 99.43 209 | 93.94 219 | 99.21 271 | 98.58 96 | 94.28 295 | 98.71 217 |
|
v8 | | | 97.95 193 | 97.63 204 | 98.93 162 | 98.95 248 | 98.81 158 | 99.80 19 | 99.41 170 | 96.03 273 | 99.10 177 | 99.42 211 | 94.92 172 | 99.30 249 | 96.94 228 | 94.08 300 | 98.66 253 |
|
tpmvs | | | 97.98 185 | 98.02 154 | 97.84 283 | 99.04 230 | 94.73 309 | 99.31 207 | 99.20 247 | 96.10 272 | 98.76 226 | 99.42 211 | 94.94 169 | 99.81 139 | 96.97 225 | 98.45 169 | 98.97 183 |
|
UGNet | | | 98.87 99 | 98.69 107 | 99.40 104 | 99.22 194 | 98.72 172 | 99.44 159 | 99.68 19 | 99.24 3 | 99.18 166 | 99.42 211 | 92.74 243 | 99.96 19 | 99.34 22 | 99.94 10 | 99.53 119 |
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 |
Effi-MVS+ | | | 98.81 111 | 98.59 122 | 99.48 90 | 99.46 144 | 99.12 102 | 98.08 337 | 99.50 99 | 97.50 155 | 99.38 108 | 99.41 214 | 96.37 123 | 99.81 139 | 99.11 41 | 98.54 165 | 99.51 125 |
|
v10 | | | 97.85 203 | 97.52 210 | 98.86 192 | 98.99 236 | 98.67 175 | 99.75 34 | 99.41 170 | 95.70 278 | 98.98 201 | 99.41 214 | 94.75 188 | 99.23 264 | 96.01 262 | 94.63 290 | 98.67 242 |
|
LP | | | 97.04 265 | 96.80 261 | 97.77 288 | 98.90 261 | 95.23 300 | 98.97 291 | 99.06 264 | 94.02 305 | 98.09 273 | 99.41 214 | 93.88 221 | 98.82 303 | 90.46 323 | 98.42 171 | 99.26 156 |
|
tpmp4_e23 | | | 97.34 257 | 97.29 248 | 97.52 294 | 99.25 191 | 93.73 317 | 99.58 99 | 99.19 250 | 94.00 306 | 98.20 269 | 99.41 214 | 90.74 292 | 99.74 161 | 97.13 215 | 98.07 201 | 99.07 173 |
|
v144192 | | | 97.92 197 | 97.60 206 | 98.87 188 | 98.83 274 | 98.65 178 | 99.55 118 | 99.34 206 | 96.20 260 | 99.32 122 | 99.40 218 | 94.36 204 | 99.26 260 | 96.37 257 | 95.03 278 | 98.70 221 |
|
NP-MVS | | | | | | 99.23 192 | 96.92 261 | | | | | 99.40 218 | | | | | |
|
HQP-MVS | | | 98.02 180 | 97.90 163 | 98.37 241 | 99.19 199 | 96.83 263 | 98.98 288 | 99.39 180 | 98.24 72 | 98.66 239 | 99.40 218 | 92.47 260 | 99.64 196 | 97.19 209 | 97.58 216 | 98.64 258 |
|
MAR-MVS | | | 98.86 102 | 98.63 114 | 99.54 77 | 99.37 163 | 99.66 37 | 99.45 155 | 99.54 62 | 96.61 226 | 99.01 192 | 99.40 218 | 97.09 103 | 99.86 107 | 97.68 176 | 99.53 106 | 99.10 164 |
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 |
API-MVS | | | 99.04 84 | 99.03 65 | 99.06 144 | 99.40 158 | 99.31 83 | 99.55 118 | 99.56 48 | 98.54 53 | 99.33 121 | 99.39 222 | 98.76 44 | 99.78 154 | 96.98 224 | 99.78 75 | 98.07 307 |
|
tfpn_ndepth | | | 98.17 157 | 97.84 175 | 99.15 136 | 99.75 56 | 98.76 169 | 99.61 88 | 97.39 344 | 96.92 210 | 99.61 59 | 99.38 223 | 92.19 267 | 99.86 107 | 97.57 182 | 98.13 192 | 98.82 200 |
|
CR-MVSNet | | | 98.17 157 | 97.93 162 | 98.87 188 | 99.18 202 | 98.49 195 | 99.22 236 | 99.33 214 | 96.96 206 | 99.56 69 | 99.38 223 | 94.33 205 | 99.00 291 | 94.83 284 | 98.58 161 | 99.14 161 |
|
Patchmtry | | | 97.75 224 | 97.40 233 | 98.81 199 | 99.10 220 | 98.87 142 | 99.11 258 | 99.33 214 | 94.83 287 | 98.81 221 | 99.38 223 | 94.33 205 | 99.02 289 | 96.10 259 | 95.57 267 | 98.53 288 |
|
BH-untuned | | | 98.42 135 | 98.36 131 | 98.59 218 | 99.49 139 | 96.70 268 | 99.27 219 | 99.13 255 | 97.24 178 | 98.80 222 | 99.38 223 | 95.75 141 | 99.74 161 | 97.07 219 | 99.16 124 | 99.33 152 |
|
v1neww | | | 98.12 163 | 97.84 175 | 98.93 162 | 98.97 243 | 98.81 158 | 99.66 65 | 99.35 198 | 96.49 233 | 99.29 128 | 99.37 227 | 95.02 164 | 99.32 243 | 97.73 168 | 94.73 283 | 98.67 242 |
|
v7new | | | 98.12 163 | 97.84 175 | 98.93 162 | 98.97 243 | 98.81 158 | 99.66 65 | 99.35 198 | 96.49 233 | 99.29 128 | 99.37 227 | 95.02 164 | 99.32 243 | 97.73 168 | 94.73 283 | 98.67 242 |
|
divwei89l23v2f112 | | | 98.06 169 | 97.78 182 | 98.91 171 | 98.90 261 | 98.77 168 | 99.57 105 | 99.35 198 | 96.45 240 | 99.24 149 | 99.37 227 | 94.92 172 | 99.27 255 | 97.50 190 | 94.71 287 | 98.68 231 |
|
v6 | | | 98.12 163 | 97.84 175 | 98.94 159 | 98.94 251 | 98.83 149 | 99.66 65 | 99.34 206 | 96.49 233 | 99.30 124 | 99.37 227 | 94.95 168 | 99.34 239 | 97.77 163 | 94.74 282 | 98.67 242 |
|
V42 | | | 98.06 169 | 97.79 180 | 98.86 192 | 98.98 240 | 98.84 146 | 99.69 45 | 99.34 206 | 96.53 232 | 99.30 124 | 99.37 227 | 94.67 192 | 99.32 243 | 97.57 182 | 94.66 288 | 98.42 295 |
|
VPA-MVSNet | | | 98.29 143 | 97.95 160 | 99.30 115 | 99.16 209 | 99.54 55 | 99.50 134 | 99.58 43 | 98.27 71 | 99.35 117 | 99.37 227 | 92.53 258 | 99.65 194 | 99.35 18 | 94.46 292 | 98.72 215 |
|
PVSNet_BlendedMVS | | | 98.86 102 | 98.80 96 | 99.03 147 | 99.76 44 | 98.79 165 | 99.28 216 | 99.91 3 | 97.42 163 | 99.67 44 | 99.37 227 | 97.53 92 | 99.88 102 | 98.98 51 | 97.29 237 | 98.42 295 |
|
MVP-Stereo | | | 97.81 211 | 97.75 192 | 97.99 273 | 97.53 320 | 96.60 272 | 98.96 293 | 98.85 287 | 97.22 180 | 97.23 292 | 99.36 234 | 95.28 151 | 99.46 214 | 95.51 272 | 99.78 75 | 97.92 317 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
v1141 | | | 98.05 175 | 97.76 189 | 98.91 171 | 98.91 260 | 98.78 167 | 99.57 105 | 99.35 198 | 96.41 245 | 99.23 154 | 99.36 234 | 94.93 171 | 99.27 255 | 97.38 200 | 94.72 285 | 98.68 231 |
|
v1240 | | | 97.69 233 | 97.32 245 | 98.79 202 | 98.85 272 | 98.43 199 | 99.48 147 | 99.36 194 | 96.11 269 | 99.27 136 | 99.36 234 | 93.76 226 | 99.24 263 | 94.46 290 | 95.23 272 | 98.70 221 |
|
v1 | | | 98.05 175 | 97.76 189 | 98.93 162 | 98.92 258 | 98.80 163 | 99.57 105 | 99.35 198 | 96.39 247 | 99.28 132 | 99.36 234 | 94.86 177 | 99.32 243 | 97.38 200 | 94.72 285 | 98.68 231 |
|
v1144 | | | 97.98 185 | 97.69 196 | 98.85 195 | 98.87 268 | 98.66 177 | 99.54 121 | 99.35 198 | 96.27 254 | 99.23 154 | 99.35 238 | 94.67 192 | 99.23 264 | 96.73 243 | 95.16 274 | 98.68 231 |
|
v2v482 | | | 98.06 169 | 97.77 186 | 98.92 167 | 98.90 261 | 98.82 156 | 99.57 105 | 99.36 194 | 96.65 223 | 99.19 164 | 99.35 238 | 94.20 209 | 99.25 261 | 97.72 172 | 94.97 279 | 98.69 226 |
|
CostFormer | | | 97.72 229 | 97.73 193 | 97.71 291 | 99.15 212 | 94.02 315 | 99.54 121 | 99.02 268 | 94.67 290 | 99.04 189 | 99.35 238 | 92.35 266 | 99.77 156 | 98.50 108 | 97.94 205 | 99.34 151 |
|
Fast-Effi-MVS+-dtu | | | 98.77 117 | 98.83 95 | 98.60 217 | 99.41 153 | 96.99 256 | 99.52 125 | 99.49 105 | 98.11 86 | 99.24 149 | 99.34 241 | 96.96 107 | 99.79 146 | 97.95 148 | 99.45 107 | 99.02 178 |
|
Fast-Effi-MVS+ | | | 98.70 121 | 98.43 128 | 99.51 87 | 99.51 132 | 99.28 85 | 99.52 125 | 99.47 130 | 96.11 269 | 99.01 192 | 99.34 241 | 96.20 128 | 99.84 119 | 97.88 152 | 98.82 152 | 99.39 147 |
|
v1192 | | | 97.81 211 | 97.44 227 | 98.91 171 | 98.88 265 | 98.68 174 | 99.51 129 | 99.34 206 | 96.18 262 | 99.20 161 | 99.34 241 | 94.03 217 | 99.36 233 | 95.32 277 | 95.18 273 | 98.69 226 |
|
tpm | | | 97.67 238 | 97.55 208 | 98.03 268 | 99.02 233 | 95.01 305 | 99.43 164 | 98.54 318 | 96.44 241 | 99.12 172 | 99.34 241 | 91.83 274 | 99.60 204 | 97.75 166 | 96.46 251 | 99.48 131 |
|
PAPM | | | 97.59 242 | 97.09 256 | 99.07 143 | 99.06 226 | 98.26 205 | 98.30 332 | 99.10 257 | 94.88 286 | 98.08 274 | 99.34 241 | 96.27 126 | 99.64 196 | 89.87 325 | 98.92 145 | 99.31 153 |
|
GBi-Net | | | 97.68 235 | 97.48 217 | 98.29 247 | 99.51 132 | 97.26 239 | 99.43 164 | 99.48 114 | 96.49 233 | 99.07 183 | 99.32 246 | 90.26 295 | 98.98 293 | 97.10 216 | 96.65 246 | 98.62 266 |
|
test1 | | | 97.68 235 | 97.48 217 | 98.29 247 | 99.51 132 | 97.26 239 | 99.43 164 | 99.48 114 | 96.49 233 | 99.07 183 | 99.32 246 | 90.26 295 | 98.98 293 | 97.10 216 | 96.65 246 | 98.62 266 |
|
FMVSNet1 | | | 96.84 267 | 96.36 268 | 98.29 247 | 99.32 177 | 97.26 239 | 99.43 164 | 99.48 114 | 95.11 284 | 98.55 252 | 99.32 246 | 83.95 337 | 98.98 293 | 95.81 265 | 96.26 256 | 98.62 266 |
|
MS-PatchMatch | | | 97.24 261 | 97.32 245 | 96.99 302 | 98.45 308 | 93.51 322 | 98.82 307 | 99.32 220 | 97.41 164 | 98.13 272 | 99.30 249 | 88.99 307 | 99.56 207 | 95.68 269 | 99.80 71 | 97.90 318 |
|
GA-MVS | | | 97.85 203 | 97.47 219 | 99.00 151 | 99.38 161 | 97.99 214 | 98.57 322 | 99.15 252 | 97.04 202 | 98.90 210 | 99.30 249 | 89.83 300 | 99.38 226 | 96.70 245 | 98.33 173 | 99.62 103 |
|
FMVSNet2 | | | 97.72 229 | 97.36 237 | 98.80 201 | 99.51 132 | 98.84 146 | 99.45 155 | 99.42 167 | 96.49 233 | 98.86 218 | 99.29 251 | 90.26 295 | 98.98 293 | 96.44 254 | 96.56 249 | 98.58 285 |
|
TESTMET0.1,1 | | | 97.55 243 | 97.27 251 | 98.40 239 | 98.93 256 | 96.53 273 | 98.67 316 | 97.61 341 | 96.96 206 | 98.64 246 | 99.28 252 | 88.63 314 | 99.45 215 | 97.30 204 | 99.38 111 | 99.21 158 |
|
FMVSNet3 | | | 98.03 178 | 97.76 189 | 98.84 196 | 99.39 160 | 98.98 123 | 99.40 181 | 99.38 186 | 96.67 222 | 99.07 183 | 99.28 252 | 92.93 236 | 98.98 293 | 97.10 216 | 96.65 246 | 98.56 287 |
|
PAPM_NR | | | 99.04 84 | 98.84 92 | 99.66 55 | 99.74 67 | 99.44 70 | 99.39 182 | 99.38 186 | 97.70 138 | 99.28 132 | 99.28 252 | 98.34 71 | 99.85 113 | 96.96 226 | 99.45 107 | 99.69 80 |
|
xiu_mvs_v2_base | | | 99.26 53 | 99.25 45 | 99.29 118 | 99.53 129 | 98.91 139 | 99.02 278 | 99.45 150 | 98.80 39 | 99.71 32 | 99.26 255 | 98.94 27 | 99.98 5 | 99.34 22 | 99.23 120 | 98.98 182 |
|
test20.03 | | | 96.12 287 | 95.96 276 | 96.63 309 | 97.44 321 | 95.45 297 | 99.51 129 | 99.38 186 | 96.55 231 | 96.16 305 | 99.25 256 | 93.76 226 | 96.17 338 | 87.35 334 | 94.22 297 | 98.27 302 |
|
PS-MVSNAJ | | | 99.32 43 | 99.32 27 | 99.30 115 | 99.57 124 | 98.94 134 | 98.97 291 | 99.46 139 | 98.92 28 | 99.71 32 | 99.24 257 | 99.01 12 | 99.98 5 | 99.35 18 | 99.66 98 | 98.97 183 |
|
Test_1112_low_res | | | 98.89 98 | 98.66 112 | 99.57 74 | 99.69 89 | 98.95 131 | 99.03 275 | 99.47 130 | 96.98 205 | 99.15 169 | 99.23 258 | 96.77 113 | 99.89 95 | 98.83 68 | 98.78 155 | 99.86 5 |
|
EG-PatchMatch MVS | | | 95.97 289 | 95.69 283 | 96.81 307 | 97.78 317 | 92.79 325 | 99.16 245 | 98.93 276 | 96.16 264 | 94.08 317 | 99.22 259 | 82.72 339 | 99.47 213 | 95.67 270 | 97.50 223 | 98.17 305 |
|
TR-MVS | | | 97.76 220 | 97.41 232 | 98.82 198 | 99.06 226 | 97.87 220 | 98.87 305 | 98.56 317 | 96.63 225 | 98.68 238 | 99.22 259 | 92.49 259 | 99.65 194 | 95.40 275 | 97.79 208 | 98.95 196 |
|
WR-MVS_H | | | 98.13 161 | 97.87 174 | 98.90 175 | 99.02 233 | 98.84 146 | 99.70 42 | 99.59 38 | 97.27 174 | 98.40 259 | 99.19 261 | 95.53 145 | 99.23 264 | 98.34 121 | 93.78 305 | 98.61 275 |
|
MIMVSNet1 | | | 95.51 293 | 95.04 296 | 96.92 305 | 97.38 322 | 95.60 290 | 99.52 125 | 99.50 99 | 93.65 310 | 96.97 299 | 99.17 262 | 85.28 332 | 96.56 337 | 88.36 330 | 95.55 268 | 98.60 281 |
|
gm-plane-assit | | | | | | 98.54 305 | 92.96 324 | | | 94.65 291 | | 99.15 263 | | 99.64 196 | 97.56 184 | | |
|
MIMVSNet | | | 97.73 227 | 97.45 222 | 98.57 220 | 99.45 148 | 97.50 235 | 99.02 278 | 98.98 271 | 96.11 269 | 99.41 101 | 99.14 264 | 90.28 294 | 98.74 305 | 95.74 266 | 98.93 143 | 99.47 135 |
|
LCM-MVSNet-Re | | | 97.83 207 | 98.15 142 | 96.87 306 | 99.30 179 | 92.25 328 | 99.59 92 | 98.26 322 | 97.43 161 | 96.20 304 | 99.13 265 | 96.27 126 | 98.73 306 | 98.17 130 | 98.99 137 | 99.64 97 |
|
UniMVSNet (Re) | | | 98.29 143 | 98.00 156 | 99.13 140 | 99.00 235 | 99.36 77 | 99.49 142 | 99.51 85 | 97.95 110 | 98.97 202 | 99.13 265 | 96.30 125 | 99.38 226 | 98.36 120 | 93.34 308 | 98.66 253 |
|
N_pmnet | | | 94.95 300 | 95.83 278 | 92.31 324 | 98.47 307 | 79.33 347 | 99.12 252 | 92.81 356 | 93.87 308 | 97.68 287 | 99.13 265 | 93.87 222 | 99.01 290 | 91.38 321 | 96.19 257 | 98.59 282 |
|
PAPR | | | 98.63 128 | 98.34 133 | 99.51 87 | 99.40 158 | 99.03 116 | 98.80 308 | 99.36 194 | 96.33 248 | 99.00 199 | 99.12 268 | 98.46 62 | 99.84 119 | 95.23 278 | 99.37 115 | 99.66 88 |
|
tpm cat1 | | | 97.39 256 | 97.36 237 | 97.50 296 | 99.17 207 | 93.73 317 | 99.43 164 | 99.31 221 | 91.27 326 | 98.71 230 | 99.08 269 | 94.31 207 | 99.77 156 | 96.41 256 | 98.50 167 | 99.00 179 |
|
FMVSNet5 | | | 96.43 273 | 96.19 270 | 97.15 299 | 99.11 217 | 95.89 288 | 99.32 204 | 99.52 76 | 94.47 299 | 98.34 264 | 99.07 270 | 87.54 323 | 97.07 333 | 92.61 318 | 95.72 264 | 98.47 292 |
|
PMMVS | | | 98.80 114 | 98.62 117 | 99.34 107 | 99.27 187 | 98.70 173 | 98.76 311 | 99.31 221 | 97.34 168 | 99.21 158 | 99.07 270 | 97.20 101 | 99.82 135 | 98.56 101 | 98.87 149 | 99.52 120 |
|
Anonymous20231206 | | | 96.22 284 | 96.03 273 | 96.79 308 | 97.31 325 | 94.14 314 | 99.63 79 | 99.08 259 | 96.17 263 | 97.04 296 | 99.06 272 | 93.94 219 | 97.76 329 | 86.96 335 | 95.06 277 | 98.47 292 |
|
DeepMVS_CX | | | | | 93.34 319 | 99.29 182 | 82.27 344 | | 99.22 245 | 85.15 338 | 96.33 303 | 99.05 273 | 90.97 290 | 99.73 169 | 93.57 306 | 97.77 209 | 98.01 312 |
|
YYNet1 | | | 95.36 296 | 94.51 301 | 97.92 277 | 97.89 315 | 97.10 245 | 99.10 260 | 99.23 244 | 93.26 316 | 80.77 344 | 99.04 274 | 92.81 240 | 98.02 321 | 94.30 298 | 94.18 298 | 98.64 258 |
|
MDA-MVSNet-bldmvs | | | 94.96 299 | 93.98 304 | 97.92 277 | 98.24 312 | 97.27 238 | 99.15 248 | 99.33 214 | 93.80 309 | 80.09 346 | 99.03 275 | 88.31 318 | 97.86 326 | 93.49 308 | 94.36 294 | 98.62 266 |
|
BH-w/o | | | 98.00 184 | 97.89 167 | 98.32 244 | 99.35 166 | 96.20 284 | 99.01 282 | 98.90 283 | 96.42 243 | 98.38 260 | 99.00 276 | 95.26 154 | 99.72 173 | 96.06 260 | 98.61 158 | 99.03 176 |
|
Effi-MVS+-dtu | | | 98.78 115 | 98.89 84 | 98.47 231 | 99.33 170 | 96.91 262 | 99.57 105 | 99.30 223 | 98.47 57 | 99.41 101 | 98.99 277 | 96.78 111 | 99.74 161 | 98.73 78 | 99.38 111 | 98.74 213 |
|
testpf | | | 95.66 292 | 96.02 275 | 94.58 316 | 98.35 310 | 92.32 327 | 97.25 344 | 97.91 330 | 92.83 318 | 97.03 297 | 98.99 277 | 88.69 311 | 98.61 307 | 95.72 267 | 97.40 232 | 92.80 343 |
|
UnsupCasMVSNet_eth | | | 96.44 272 | 96.12 271 | 97.40 298 | 98.65 297 | 95.65 289 | 99.36 195 | 99.51 85 | 97.13 186 | 96.04 308 | 98.99 277 | 88.40 317 | 98.17 311 | 96.71 244 | 90.27 322 | 98.40 297 |
|
test0.0.03 1 | | | 97.71 232 | 97.42 231 | 98.56 222 | 98.41 309 | 97.82 224 | 98.78 309 | 98.63 313 | 97.34 168 | 98.05 278 | 98.98 280 | 94.45 201 | 98.98 293 | 95.04 281 | 97.15 242 | 98.89 197 |
|
MDA-MVSNet_test_wron | | | 95.45 294 | 94.60 299 | 98.01 271 | 98.16 313 | 97.21 243 | 99.11 258 | 99.24 243 | 93.49 313 | 80.73 345 | 98.98 280 | 93.02 234 | 98.18 310 | 94.22 302 | 94.45 293 | 98.64 258 |
|
FPMVS | | | 84.93 318 | 85.65 318 | 82.75 338 | 86.77 350 | 63.39 356 | 98.35 330 | 98.92 278 | 74.11 345 | 83.39 342 | 98.98 280 | 50.85 352 | 92.40 349 | 84.54 339 | 94.97 279 | 92.46 344 |
|
alignmvs | | | 98.81 111 | 98.56 124 | 99.58 73 | 99.43 149 | 99.42 72 | 99.51 129 | 98.96 274 | 98.61 50 | 99.35 117 | 98.92 283 | 94.78 182 | 99.77 156 | 99.35 18 | 98.11 200 | 99.54 115 |
|
view600 | | | 97.97 188 | 97.66 197 | 98.89 177 | 99.75 56 | 97.81 225 | 99.69 45 | 98.80 291 | 98.02 102 | 99.25 144 | 98.88 284 | 91.95 269 | 99.89 95 | 94.36 293 | 98.29 175 | 98.96 189 |
|
view800 | | | 97.97 188 | 97.66 197 | 98.89 177 | 99.75 56 | 97.81 225 | 99.69 45 | 98.80 291 | 98.02 102 | 99.25 144 | 98.88 284 | 91.95 269 | 99.89 95 | 94.36 293 | 98.29 175 | 98.96 189 |
|
conf0.05thres1000 | | | 97.97 188 | 97.66 197 | 98.89 177 | 99.75 56 | 97.81 225 | 99.69 45 | 98.80 291 | 98.02 102 | 99.25 144 | 98.88 284 | 91.95 269 | 99.89 95 | 94.36 293 | 98.29 175 | 98.96 189 |
|
tfpn | | | 97.97 188 | 97.66 197 | 98.89 177 | 99.75 56 | 97.81 225 | 99.69 45 | 98.80 291 | 98.02 102 | 99.25 144 | 98.88 284 | 91.95 269 | 99.89 95 | 94.36 293 | 98.29 175 | 98.96 189 |
|
test-LLR | | | 98.06 169 | 97.90 163 | 98.55 224 | 98.79 277 | 97.10 245 | 98.67 316 | 97.75 331 | 97.34 168 | 98.61 250 | 98.85 288 | 94.45 201 | 99.45 215 | 97.25 205 | 99.38 111 | 99.10 164 |
|
test-mter | | | 97.49 252 | 97.13 255 | 98.55 224 | 98.79 277 | 97.10 245 | 98.67 316 | 97.75 331 | 96.65 223 | 98.61 250 | 98.85 288 | 88.23 319 | 99.45 215 | 97.25 205 | 99.38 111 | 99.10 164 |
|
DI_MVS_plusplus_test | | | 97.45 253 | 96.79 262 | 99.44 99 | 97.76 318 | 99.04 109 | 99.21 239 | 98.61 315 | 97.74 133 | 94.01 320 | 98.83 290 | 87.38 325 | 99.83 126 | 98.63 89 | 98.90 147 | 99.44 141 |
|
test_normal | | | 97.44 254 | 96.77 264 | 99.44 99 | 97.75 319 | 99.00 121 | 99.10 260 | 98.64 312 | 97.71 136 | 93.93 323 | 98.82 291 | 87.39 324 | 99.83 126 | 98.61 93 | 98.97 139 | 99.49 129 |
|
canonicalmvs | | | 99.02 87 | 98.86 89 | 99.51 87 | 99.42 150 | 99.32 80 | 99.80 19 | 99.48 114 | 98.63 48 | 99.31 123 | 98.81 292 | 97.09 103 | 99.75 160 | 99.27 29 | 97.90 206 | 99.47 135 |
|
DWT-MVSNet_test | | | 97.53 245 | 97.40 233 | 97.93 276 | 99.03 232 | 94.86 306 | 99.57 105 | 98.63 313 | 96.59 230 | 98.36 262 | 98.79 293 | 89.32 304 | 99.74 161 | 98.14 132 | 98.16 191 | 99.20 159 |
|
new_pmnet | | | 96.38 277 | 96.03 273 | 97.41 297 | 98.13 314 | 95.16 304 | 99.05 269 | 99.20 247 | 93.94 307 | 97.39 290 | 98.79 293 | 91.61 284 | 99.04 286 | 90.43 324 | 95.77 263 | 98.05 308 |
|
cascas | | | 97.69 233 | 97.43 230 | 98.48 229 | 98.60 301 | 97.30 236 | 98.18 336 | 99.39 180 | 92.96 317 | 98.41 258 | 98.78 295 | 93.77 225 | 99.27 255 | 98.16 131 | 98.61 158 | 98.86 198 |
|
PVSNet_0 | | 94.43 19 | 96.09 288 | 95.47 290 | 97.94 275 | 99.31 178 | 94.34 313 | 97.81 339 | 99.70 15 | 97.12 188 | 97.46 288 | 98.75 296 | 89.71 301 | 99.79 146 | 97.69 174 | 81.69 343 | 99.68 84 |
|
patchmatchnet-post | | | | | | | | | | | | 98.70 297 | 94.79 181 | 99.74 161 | | | |
|
Patchmatch-RL test | | | 95.84 290 | 95.81 279 | 95.95 313 | 95.61 330 | 90.57 331 | 98.24 333 | 98.39 319 | 95.10 285 | 95.20 310 | 98.67 298 | 94.78 182 | 97.77 328 | 96.28 258 | 90.02 323 | 99.51 125 |
|
tfpn111 | | | 97.81 211 | 97.49 216 | 98.78 204 | 99.72 76 | 97.86 221 | 99.59 92 | 98.74 299 | 97.93 112 | 99.26 140 | 98.62 299 | 91.75 275 | 99.86 107 | 93.57 306 | 98.18 184 | 98.61 275 |
|
conf200view11 | | | 97.78 218 | 97.45 222 | 98.77 205 | 99.72 76 | 97.86 221 | 99.59 92 | 98.74 299 | 97.93 112 | 99.26 140 | 98.62 299 | 91.75 275 | 99.83 126 | 93.22 310 | 98.18 184 | 98.61 275 |
|
thres100view900 | | | 97.76 220 | 97.45 222 | 98.69 211 | 99.72 76 | 97.86 221 | 99.59 92 | 98.74 299 | 97.93 112 | 99.26 140 | 98.62 299 | 91.75 275 | 99.83 126 | 93.22 310 | 98.18 184 | 98.37 299 |
|
thres600view7 | | | 97.86 202 | 97.51 212 | 98.92 167 | 99.72 76 | 97.95 218 | 99.59 92 | 98.74 299 | 97.94 111 | 99.27 136 | 98.62 299 | 91.75 275 | 99.86 107 | 93.73 305 | 98.19 183 | 98.96 189 |
|
DSMNet-mixed | | | 97.25 260 | 97.35 239 | 96.95 304 | 97.84 316 | 93.61 321 | 99.57 105 | 96.63 346 | 96.13 268 | 98.87 213 | 98.61 303 | 94.59 195 | 97.70 330 | 95.08 280 | 98.86 150 | 99.55 113 |
|
PatchFormer-LS_test | | | 98.01 183 | 98.05 152 | 97.87 280 | 99.15 212 | 94.76 308 | 99.42 171 | 98.93 276 | 97.12 188 | 98.84 219 | 98.59 304 | 93.74 228 | 99.80 143 | 98.55 104 | 98.17 190 | 99.06 174 |
|
testus | | | 94.61 301 | 95.30 294 | 92.54 323 | 96.44 328 | 84.18 339 | 98.36 328 | 99.03 267 | 94.18 304 | 96.49 301 | 98.57 305 | 88.74 309 | 95.09 342 | 87.41 333 | 98.45 169 | 98.36 301 |
|
IB-MVS | | 95.67 18 | 96.22 284 | 95.44 292 | 98.57 220 | 99.21 195 | 96.70 268 | 98.65 319 | 97.74 333 | 96.71 219 | 97.27 291 | 98.54 306 | 86.03 328 | 99.92 65 | 98.47 111 | 86.30 339 | 99.10 164 |
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 |
GG-mvs-BLEND | | | | | 98.45 233 | 98.55 304 | 98.16 208 | 99.43 164 | 93.68 352 | | 97.23 292 | 98.46 307 | 89.30 305 | 99.22 267 | 95.43 274 | 98.22 180 | 97.98 313 |
|
tfpn200view9 | | | 97.72 229 | 97.38 235 | 98.72 209 | 99.69 89 | 97.96 216 | 99.50 134 | 98.73 308 | 97.83 122 | 99.17 167 | 98.45 308 | 91.67 281 | 99.83 126 | 93.22 310 | 98.18 184 | 98.37 299 |
|
thres400 | | | 97.77 219 | 97.38 235 | 98.92 167 | 99.69 89 | 97.96 216 | 99.50 134 | 98.73 308 | 97.83 122 | 99.17 167 | 98.45 308 | 91.67 281 | 99.83 126 | 93.22 310 | 98.18 184 | 98.96 189 |
|
thres200 | | | 97.61 241 | 97.28 249 | 98.62 216 | 99.64 106 | 98.03 212 | 99.26 227 | 98.74 299 | 97.68 140 | 99.09 181 | 98.32 310 | 91.66 283 | 99.81 139 | 92.88 316 | 98.22 180 | 98.03 311 |
|
test2356 | | | 94.07 307 | 94.46 302 | 92.89 321 | 95.18 333 | 86.13 337 | 97.60 342 | 99.06 264 | 93.61 311 | 96.15 307 | 98.28 311 | 85.60 331 | 93.95 344 | 86.68 337 | 98.00 203 | 98.59 282 |
|
OpenMVS_ROB | | 92.34 20 | 94.38 304 | 93.70 305 | 96.41 312 | 97.38 322 | 93.17 323 | 99.06 267 | 98.75 296 | 86.58 337 | 94.84 313 | 98.26 312 | 81.53 341 | 99.32 243 | 89.01 328 | 97.87 207 | 96.76 334 |
|
pmmvs3 | | | 94.09 306 | 93.25 308 | 96.60 310 | 94.76 335 | 94.49 310 | 98.92 300 | 98.18 326 | 89.66 331 | 96.48 302 | 98.06 313 | 86.28 327 | 97.33 332 | 89.68 326 | 87.20 333 | 97.97 314 |
|
test12356 | | | 91.74 312 | 92.19 313 | 90.37 330 | 91.22 342 | 82.41 342 | 98.61 320 | 98.28 321 | 90.66 330 | 91.82 333 | 97.92 314 | 84.90 333 | 92.61 346 | 81.64 342 | 94.66 288 | 96.09 338 |
|
test1235678 | | | 92.91 310 | 93.30 307 | 91.71 327 | 93.14 340 | 83.01 341 | 98.75 312 | 98.58 316 | 92.80 319 | 92.45 330 | 97.91 315 | 88.51 316 | 93.54 345 | 82.26 341 | 95.35 270 | 98.59 282 |
|
1111 | | | 92.30 311 | 92.21 312 | 92.55 322 | 93.30 338 | 86.27 335 | 99.15 248 | 98.74 299 | 91.94 322 | 90.85 335 | 97.82 316 | 84.18 335 | 95.21 340 | 79.65 343 | 94.27 296 | 96.19 337 |
|
.test1245 | | | 83.42 319 | 86.17 317 | 75.15 341 | 93.30 338 | 86.27 335 | 99.15 248 | 98.74 299 | 91.94 322 | 90.85 335 | 97.82 316 | 84.18 335 | 95.21 340 | 79.65 343 | 39.90 353 | 43.98 354 |
|
v17 | | | 96.42 274 | 95.81 279 | 98.25 254 | 98.94 251 | 98.80 163 | 99.76 27 | 99.28 234 | 94.57 293 | 94.18 314 | 97.71 318 | 95.23 156 | 98.16 312 | 94.86 282 | 87.73 331 | 97.80 321 |
|
v18 | | | 96.42 274 | 95.80 281 | 98.26 250 | 98.95 248 | 98.82 156 | 99.76 27 | 99.28 234 | 94.58 292 | 94.12 315 | 97.70 319 | 95.22 157 | 98.16 312 | 94.83 284 | 87.80 329 | 97.79 326 |
|
v16 | | | 96.39 276 | 95.76 282 | 98.26 250 | 98.96 246 | 98.81 158 | 99.76 27 | 99.28 234 | 94.57 293 | 94.10 316 | 97.70 319 | 95.04 163 | 98.16 312 | 94.70 286 | 87.77 330 | 97.80 321 |
|
PM-MVS | | | 92.96 309 | 92.23 311 | 95.14 315 | 95.61 330 | 89.98 333 | 99.37 189 | 98.21 324 | 94.80 288 | 95.04 312 | 97.69 321 | 65.06 347 | 97.90 325 | 94.30 298 | 89.98 324 | 97.54 333 |
|
V14 | | | 96.26 279 | 95.60 285 | 98.26 250 | 98.94 251 | 98.83 149 | 99.76 27 | 99.29 227 | 94.49 298 | 93.96 321 | 97.66 322 | 94.99 167 | 98.13 316 | 94.41 291 | 86.90 335 | 97.80 321 |
|
Anonymous20231211 | | | 90.69 314 | 89.39 315 | 94.58 316 | 94.25 336 | 88.18 334 | 99.29 213 | 99.07 262 | 82.45 342 | 92.95 329 | 97.65 323 | 63.96 349 | 97.79 327 | 89.27 327 | 85.63 340 | 97.77 327 |
|
v11 | | | 96.23 283 | 95.57 289 | 98.21 260 | 98.93 256 | 98.83 149 | 99.72 39 | 99.29 227 | 94.29 303 | 94.05 318 | 97.64 324 | 94.88 176 | 98.04 320 | 92.89 315 | 88.43 327 | 97.77 327 |
|
V9 | | | 96.25 280 | 95.58 286 | 98.26 250 | 98.94 251 | 98.83 149 | 99.75 34 | 99.29 227 | 94.45 300 | 93.96 321 | 97.62 325 | 94.94 169 | 98.14 315 | 94.40 292 | 86.87 336 | 97.81 319 |
|
v15 | | | 96.28 278 | 95.62 284 | 98.25 254 | 98.94 251 | 98.83 149 | 99.76 27 | 99.29 227 | 94.52 297 | 94.02 319 | 97.61 326 | 95.02 164 | 98.13 316 | 94.53 288 | 86.92 334 | 97.80 321 |
|
v13 | | | 96.24 281 | 95.58 286 | 98.25 254 | 98.98 240 | 98.83 149 | 99.75 34 | 99.29 227 | 94.35 302 | 93.89 324 | 97.60 327 | 95.17 159 | 98.11 318 | 94.27 300 | 86.86 337 | 97.81 319 |
|
v12 | | | 96.24 281 | 95.58 286 | 98.23 257 | 98.96 246 | 98.81 158 | 99.76 27 | 99.29 227 | 94.42 301 | 93.85 325 | 97.60 327 | 95.12 160 | 98.09 319 | 94.32 297 | 86.85 338 | 97.80 321 |
|
Test4 | | | 95.05 298 | 93.67 306 | 99.22 131 | 96.07 329 | 98.94 134 | 99.20 241 | 99.27 239 | 97.71 136 | 89.96 338 | 97.59 329 | 66.18 346 | 99.25 261 | 98.06 142 | 98.96 140 | 99.47 135 |
|
pmmvs-eth3d | | | 95.34 297 | 94.73 298 | 97.15 299 | 95.53 332 | 95.94 287 | 99.35 199 | 99.10 257 | 95.13 283 | 93.55 326 | 97.54 330 | 88.15 321 | 97.91 324 | 94.58 287 | 89.69 325 | 97.61 330 |
|
ambc | | | | | 93.06 320 | 92.68 341 | 82.36 343 | 98.47 326 | 98.73 308 | | 95.09 311 | 97.41 331 | 55.55 351 | 99.10 282 | 96.42 255 | 91.32 320 | 97.71 329 |
|
RPMNet | | | 96.61 269 | 95.85 277 | 98.87 188 | 99.18 202 | 98.49 195 | 99.22 236 | 99.08 259 | 88.72 336 | 99.56 69 | 97.38 332 | 94.08 216 | 99.00 291 | 86.87 336 | 98.58 161 | 99.14 161 |
|
new-patchmatchnet | | | 94.48 302 | 94.08 303 | 95.67 314 | 95.08 334 | 92.41 326 | 99.18 243 | 99.28 234 | 94.55 296 | 93.49 327 | 97.37 333 | 87.86 322 | 97.01 334 | 91.57 320 | 88.36 328 | 97.61 330 |
|
PatchT | | | 97.03 266 | 96.44 267 | 98.79 202 | 98.99 236 | 98.34 202 | 99.16 245 | 99.07 262 | 92.13 321 | 99.52 81 | 97.31 334 | 94.54 198 | 98.98 293 | 88.54 329 | 98.73 157 | 99.03 176 |
|
testing_2 | | | 94.44 303 | 92.93 309 | 98.98 153 | 94.16 337 | 99.00 121 | 99.42 171 | 99.28 234 | 96.60 228 | 84.86 340 | 96.84 335 | 70.91 343 | 99.27 255 | 98.23 127 | 96.08 259 | 98.68 231 |
|
UnsupCasMVSNet_bld | | | 93.53 308 | 92.51 310 | 96.58 311 | 97.38 322 | 93.82 316 | 98.24 333 | 99.48 114 | 91.10 328 | 93.10 328 | 96.66 336 | 74.89 342 | 98.37 309 | 94.03 304 | 87.71 332 | 97.56 332 |
|
LCM-MVSNet | | | 86.80 317 | 85.22 320 | 91.53 328 | 87.81 348 | 80.96 345 | 98.23 335 | 98.99 270 | 71.05 346 | 90.13 337 | 96.51 337 | 48.45 354 | 96.88 335 | 90.51 322 | 85.30 341 | 96.76 334 |
|
testmv | | | 87.91 315 | 87.80 316 | 88.24 331 | 87.68 349 | 77.50 349 | 99.07 263 | 97.66 340 | 89.27 332 | 86.47 339 | 96.22 338 | 68.35 345 | 92.49 348 | 76.63 347 | 88.82 326 | 94.72 341 |
|
PMMVS2 | | | 86.87 316 | 85.37 319 | 91.35 329 | 90.21 345 | 83.80 340 | 98.89 303 | 97.45 343 | 83.13 341 | 91.67 334 | 95.03 339 | 48.49 353 | 94.70 343 | 85.86 338 | 77.62 344 | 95.54 339 |
|
Gipuma | | | 90.99 313 | 90.15 314 | 93.51 318 | 98.73 287 | 90.12 332 | 93.98 348 | 99.45 150 | 79.32 343 | 92.28 331 | 94.91 340 | 69.61 344 | 97.98 323 | 87.42 332 | 95.67 265 | 92.45 345 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
JIA-IIPM | | | 97.50 250 | 97.02 258 | 98.93 162 | 98.73 287 | 97.80 229 | 99.30 209 | 98.97 272 | 91.73 325 | 98.91 208 | 94.86 341 | 95.10 161 | 99.71 179 | 97.58 180 | 97.98 204 | 99.28 155 |
|
PMVS | | 70.75 22 | 75.98 327 | 74.97 326 | 79.01 340 | 70.98 356 | 55.18 357 | 93.37 349 | 98.21 324 | 65.08 352 | 61.78 353 | 93.83 342 | 21.74 362 | 92.53 347 | 78.59 345 | 91.12 321 | 89.34 349 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
MVS-HIRNet | | | 95.75 291 | 95.16 295 | 97.51 295 | 99.30 179 | 93.69 320 | 98.88 304 | 95.78 347 | 85.09 339 | 98.78 224 | 92.65 343 | 91.29 287 | 99.37 229 | 94.85 283 | 99.85 53 | 99.46 138 |
|
E-PMN | | | 80.61 322 | 79.88 323 | 82.81 337 | 90.75 344 | 76.38 351 | 97.69 340 | 95.76 348 | 66.44 350 | 83.52 341 | 92.25 344 | 62.54 350 | 87.16 353 | 68.53 351 | 61.40 347 | 84.89 352 |
|
EMVS | | | 80.02 323 | 79.22 324 | 82.43 339 | 91.19 343 | 76.40 350 | 97.55 343 | 92.49 358 | 66.36 351 | 83.01 343 | 91.27 345 | 64.63 348 | 85.79 354 | 65.82 352 | 60.65 348 | 85.08 351 |
|
PNet_i23d | | | 79.43 324 | 77.68 325 | 84.67 334 | 86.18 351 | 71.69 354 | 96.50 346 | 93.68 352 | 75.17 344 | 71.33 349 | 91.18 346 | 32.18 358 | 90.62 350 | 78.57 346 | 74.34 345 | 91.71 347 |
|
gg-mvs-nofinetune | | | 96.17 286 | 95.32 293 | 98.73 208 | 98.79 277 | 98.14 209 | 99.38 187 | 94.09 351 | 91.07 329 | 98.07 277 | 91.04 347 | 89.62 303 | 99.35 236 | 96.75 242 | 99.09 130 | 98.68 231 |
|
ANet_high | | | 77.30 325 | 74.86 327 | 84.62 335 | 75.88 355 | 77.61 348 | 97.63 341 | 93.15 355 | 88.81 335 | 64.27 351 | 89.29 348 | 36.51 356 | 83.93 355 | 75.89 348 | 52.31 350 | 92.33 346 |
|
no-one | | | 83.04 320 | 80.12 322 | 91.79 326 | 89.44 347 | 85.65 338 | 99.32 204 | 98.32 320 | 89.06 333 | 79.79 348 | 89.16 349 | 44.86 355 | 96.67 336 | 84.33 340 | 46.78 351 | 93.05 342 |
|
MVE | | 76.82 21 | 76.91 326 | 74.31 328 | 84.70 333 | 85.38 353 | 76.05 352 | 96.88 345 | 93.17 354 | 67.39 349 | 71.28 350 | 89.01 350 | 21.66 363 | 87.69 352 | 71.74 350 | 72.29 346 | 90.35 348 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
wuykxyi23d | | | 74.42 328 | 71.19 329 | 84.14 336 | 76.16 354 | 74.29 353 | 96.00 347 | 92.57 357 | 69.57 347 | 63.84 352 | 87.49 351 | 21.98 360 | 88.86 351 | 75.56 349 | 57.50 349 | 89.26 350 |
|
testmvs | | | 39.17 331 | 43.78 330 | 25.37 345 | 36.04 359 | 16.84 360 | 98.36 328 | 26.56 359 | 20.06 354 | 38.51 355 | 67.32 352 | 29.64 359 | 15.30 358 | 37.59 354 | 39.90 353 | 43.98 354 |
|
test123 | | | 39.01 332 | 42.50 332 | 28.53 344 | 39.17 358 | 20.91 359 | 98.75 312 | 19.17 361 | 19.83 355 | 38.57 354 | 66.67 353 | 33.16 357 | 15.42 357 | 37.50 355 | 29.66 355 | 49.26 353 |
|
test_post | | | | | | | | | | | | 65.99 354 | 94.65 194 | 99.73 169 | | | |
|
test_post1 | | | | | | | | 99.23 232 | | | | 65.14 355 | 94.18 212 | 99.71 179 | 97.58 180 | | |
|
X-MVStestdata | | | 96.55 270 | 95.45 291 | 99.87 6 | 99.85 23 | 99.83 8 | 99.69 45 | 99.68 19 | 98.98 19 | 99.37 110 | 64.01 356 | 98.81 36 | 99.94 42 | 98.79 72 | 99.86 49 | 99.84 12 |
|
wuyk23d | | | 40.18 330 | 41.29 333 | 36.84 342 | 86.18 351 | 49.12 358 | 79.73 351 | 22.81 360 | 27.64 353 | 25.46 356 | 28.45 357 | 21.98 360 | 48.89 356 | 55.80 353 | 23.56 356 | 12.51 356 |
|
pcd_1.5k_mvsjas | | | 8.27 335 | 11.03 336 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 0.27 358 | 99.01 12 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
pcd1.5k->3k | | | 40.85 329 | 43.49 331 | 32.93 343 | 98.95 248 | 0.00 361 | 0.00 352 | 99.53 72 | 0.00 356 | 0.00 357 | 0.27 358 | 95.32 150 | 0.00 359 | 0.00 356 | 97.30 236 | 98.80 202 |
|
sosnet-low-res | | | 0.02 336 | 0.03 337 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 0.27 358 | 0.00 364 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
sosnet | | | 0.02 336 | 0.03 337 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 0.27 358 | 0.00 364 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
uncertanet | | | 0.02 336 | 0.03 337 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 0.27 358 | 0.00 364 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
Regformer | | | 0.02 336 | 0.03 337 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 0.27 358 | 0.00 364 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
uanet | | | 0.02 336 | 0.03 337 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 0.27 358 | 0.00 364 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
GSMVS | | | | | | | | | | | | | | | | | 99.52 120 |
|
test_part2 | | | | | | 99.81 32 | 99.83 8 | | | | 99.77 24 | | | | | | |
|
test_part1 | | | | | | | | | 99.48 114 | | | | 98.96 21 | | | 99.84 58 | 99.83 23 |
|
sam_mvs1 | | | | | | | | | | | | | 94.86 177 | | | | 99.52 120 |
|
sam_mvs | | | | | | | | | | | | | 94.72 190 | | | | |
|
MTGPA | | | | | | | | | 99.47 130 | | | | | | | | |
|
MTMP | | | | | | | | | 98.88 285 | | | | | | | | |
|
test9_res | | | | | | | | | | | | | | | 97.49 191 | 99.72 86 | 99.75 56 |
|
agg_prior2 | | | | | | | | | | | | | | | 97.21 207 | 99.73 85 | 99.75 56 |
|
agg_prior | | | | | | 99.67 93 | 99.62 43 | | 99.40 177 | | 98.87 213 | | | 99.91 74 | | | |
|
test_prior4 | | | | | | | 99.56 52 | 98.99 284 | | | | | | | | | |
|
test_prior | | | | | 99.68 52 | 99.67 93 | 99.48 65 | | 99.56 48 | | | | | 99.83 126 | | | 99.74 61 |
|
旧先验2 | | | | | | | | 98.96 293 | | 96.70 220 | 99.47 89 | | | 99.94 42 | 98.19 128 | | |
|
新几何2 | | | | | | | | 99.01 282 | | | | | | | | | |
|
无先验 | | | | | | | | 98.99 284 | 99.51 85 | 96.89 211 | | | | 99.93 57 | 97.53 187 | | 99.72 72 |
|
原ACMM2 | | | | | | | | 98.95 297 | | | | | | | | | |
|
testdata2 | | | | | | | | | | | | | | 99.95 33 | 96.67 247 | | |
|
segment_acmp | | | | | | | | | | | | | 98.96 21 | | | | |
|
testdata1 | | | | | | | | 98.85 306 | | 98.32 69 | | | | | | | |
|
test12 | | | | | 99.75 40 | 99.64 106 | 99.61 45 | | 99.29 227 | | 99.21 158 | | 98.38 68 | 99.89 95 | | 99.74 82 | 99.74 61 |
|
plane_prior7 | | | | | | 99.29 182 | 97.03 253 | | | | | | | | | | |
|
plane_prior6 | | | | | | 99.27 187 | 96.98 257 | | | | | | 92.71 245 | | | | |
|
plane_prior5 | | | | | | | | | 99.47 130 | | | | | 99.69 188 | 97.78 161 | 97.63 211 | 98.67 242 |
|
plane_prior3 | | | | | | | 97.00 255 | | | 98.69 46 | 99.11 174 | | | | | | |
|
plane_prior2 | | | | | | | | 99.39 182 | | 98.97 22 | | | | | | | |
|
plane_prior1 | | | | | | 99.26 189 | | | | | | | | | | | |
|
plane_prior | | | | | | | 96.97 258 | 99.21 239 | | 98.45 59 | | | | | | 97.60 214 | |
|
n2 | | | | | | | | | 0.00 362 | | | | | | | | |
|
nn | | | | | | | | | 0.00 362 | | | | | | | | |
|
door-mid | | | | | | | | | 98.05 327 | | | | | | | | |
|
test11 | | | | | | | | | 99.35 198 | | | | | | | | |
|
door | | | | | | | | | 97.92 328 | | | | | | | | |
|
HQP5-MVS | | | | | | | 96.83 263 | | | | | | | | | | |
|
HQP-NCC | | | | | | 99.19 199 | | 98.98 288 | | 98.24 72 | 98.66 239 | | | | | | |
|
ACMP_Plane | | | | | | 99.19 199 | | 98.98 288 | | 98.24 72 | 98.66 239 | | | | | | |
|
BP-MVS | | | | | | | | | | | | | | | 97.19 209 | | |
|
HQP4-MVS | | | | | | | | | | | 98.66 239 | | | 99.64 196 | | | 98.64 258 |
|
HQP3-MVS | | | | | | | | | 99.39 180 | | | | | | | 97.58 216 | |
|
HQP2-MVS | | | | | | | | | | | | | 92.47 260 | | | | |
|
MDTV_nov1_ep13_2view | | | | | | | 95.18 303 | 99.35 199 | | 96.84 214 | 99.58 65 | | 95.19 158 | | 97.82 157 | | 99.46 138 |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 97.19 240 | |
|
ACMMP++ | | | | | | | | | | | | | | | | 97.43 231 | |
|
Test By Simon | | | | | | | | | | | | | 98.75 47 | | | | |
|