CHOSEN 280x420 | | | 99.12 71 | 99.13 55 | 99.08 153 | 99.66 106 | 97.89 231 | 98.43 340 | 99.71 13 | 98.88 30 | 99.62 61 | 99.76 91 | 96.63 122 | 99.70 195 | 99.46 14 | 99.99 1 | 99.66 89 |
|
CANet | | | 99.25 55 | 99.14 54 | 99.59 71 | 99.41 166 | 99.16 99 | 99.35 210 | 99.57 45 | 98.82 35 | 99.51 91 | 99.61 160 | 96.46 125 | 99.95 34 | 99.59 2 | 99.98 2 | 99.65 93 |
|
CHOSEN 1792x2688 | | | 99.19 59 | 99.10 59 | 99.45 102 | 99.89 8 | 98.52 200 | 99.39 194 | 99.94 1 | 98.73 44 | 99.11 186 | 99.89 10 | 95.50 151 | 99.94 42 | 99.50 8 | 99.97 3 | 99.89 2 |
|
DeepC-MVS | | 98.35 2 | 99.30 47 | 99.19 50 | 99.64 65 | 99.82 30 | 99.23 93 | 99.62 85 | 99.55 57 | 98.94 26 | 99.63 57 | 99.95 2 | 95.82 144 | 99.94 42 | 99.37 18 | 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 |
CSCG | | | 99.32 45 | 99.32 26 | 99.32 118 | 99.85 24 | 98.29 214 | 99.71 44 | 99.66 26 | 98.11 89 | 99.41 109 | 99.80 68 | 98.37 70 | 99.96 19 | 98.99 54 | 99.96 5 | 99.72 72 |
|
CANet_DTU | | | 98.97 99 | 98.87 90 | 99.25 135 | 99.33 183 | 98.42 211 | 99.08 272 | 99.30 231 | 99.16 5 | 99.43 104 | 99.75 96 | 95.27 159 | 99.97 11 | 98.56 112 | 99.95 6 | 99.36 158 |
|
MVS_0304 | | | 99.06 85 | 98.86 94 | 99.66 56 | 99.51 140 | 99.36 78 | 99.22 246 | 99.51 87 | 98.95 24 | 99.58 71 | 99.65 139 | 93.74 235 | 99.98 5 | 99.66 1 | 99.95 6 | 99.64 99 |
|
EI-MVSNet-UG-set | | | 99.58 3 | 99.57 1 | 99.64 65 | 99.78 37 | 99.14 103 | 99.60 94 | 99.45 155 | 99.01 13 | 99.90 1 | 99.83 40 | 98.98 19 | 99.93 57 | 99.59 2 | 99.95 6 | 99.86 6 |
|
EI-MVSNet-Vis-set | | | 99.58 3 | 99.56 3 | 99.64 65 | 99.78 37 | 99.15 102 | 99.61 91 | 99.45 155 | 99.01 13 | 99.89 2 | 99.82 47 | 99.01 12 | 99.92 66 | 99.56 5 | 99.95 6 | 99.85 9 |
|
UGNet | | | 98.87 104 | 98.69 112 | 99.40 109 | 99.22 207 | 98.72 178 | 99.44 169 | 99.68 19 | 99.24 3 | 99.18 177 | 99.42 224 | 92.74 251 | 99.96 19 | 99.34 23 | 99.94 10 | 99.53 126 |
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 |
SD-MVS | | | 99.41 34 | 99.52 6 | 99.05 157 | 99.74 69 | 99.68 34 | 99.46 164 | 99.52 78 | 99.11 7 | 99.88 3 | 99.91 5 | 99.43 1 | 97.70 342 | 98.72 88 | 99.93 11 | 99.77 52 |
|
Regformer-3 | | | 99.57 6 | 99.53 5 | 99.68 53 | 99.76 46 | 99.29 86 | 99.58 104 | 99.44 164 | 99.01 13 | 99.87 7 | 99.80 68 | 98.97 20 | 99.91 76 | 99.44 16 | 99.92 12 | 99.83 24 |
|
Regformer-4 | | | 99.59 2 | 99.54 4 | 99.73 48 | 99.76 46 | 99.41 74 | 99.58 104 | 99.49 107 | 99.02 10 | 99.88 3 | 99.80 68 | 99.00 18 | 99.94 42 | 99.45 15 | 99.92 12 | 99.84 13 |
|
APDe-MVS | | | 99.66 1 | 99.57 1 | 99.92 1 | 99.77 43 | 99.89 1 | 99.75 35 | 99.56 50 | 99.02 10 | 99.88 3 | 99.85 27 | 99.18 5 | 99.96 19 | 99.22 34 | 99.92 12 | 99.90 1 |
|
HPM-MVS_fast | | | 99.51 12 | 99.40 14 | 99.85 18 | 99.91 1 | 99.79 19 | 99.76 27 | 99.56 50 | 97.72 140 | 99.76 31 | 99.75 96 | 99.13 7 | 99.92 66 | 99.07 48 | 99.92 12 | 99.85 9 |
|
3Dnovator | | 97.25 9 | 99.24 56 | 99.05 62 | 99.81 30 | 99.12 228 | 99.66 38 | 99.84 9 | 99.74 10 | 99.09 8 | 98.92 219 | 99.90 7 | 95.94 139 | 99.98 5 | 98.95 57 | 99.92 12 | 99.79 46 |
|
MP-MVS-pluss | | | 99.37 40 | 99.20 49 | 99.88 5 | 99.90 3 | 99.87 3 | 99.30 220 | 99.52 78 | 97.18 191 | 99.60 67 | 99.79 76 | 98.79 36 | 99.95 34 | 98.83 75 | 99.91 17 | 99.83 24 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
ACMMP_Plus | | | 99.47 20 | 99.34 24 | 99.88 5 | 99.87 15 | 99.86 4 | 99.47 161 | 99.48 117 | 98.05 101 | 99.76 31 | 99.86 23 | 98.82 33 | 99.93 57 | 98.82 79 | 99.91 17 | 99.84 13 |
|
HPM-MVS | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | 99.42 31 | 99.28 40 | 99.83 25 | 99.90 3 | 99.72 29 | 99.81 15 | 99.54 64 | 97.59 151 | 99.68 41 | 99.63 151 | 98.91 27 | 99.94 42 | 98.58 107 | 99.91 17 | 99.84 13 |
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
114514_t | | | 98.93 101 | 98.67 114 | 99.72 50 | 99.85 24 | 99.53 59 | 99.62 85 | 99.59 39 | 92.65 334 | 99.71 35 | 99.78 82 | 98.06 81 | 99.90 89 | 98.84 72 | 99.91 17 | 99.74 61 |
|
CP-MVS | | | 99.45 23 | 99.32 26 | 99.85 18 | 99.83 29 | 99.75 25 | 99.69 48 | 99.52 78 | 98.07 96 | 99.53 86 | 99.63 151 | 98.93 26 | 99.97 11 | 98.74 84 | 99.91 17 | 99.83 24 |
|
PHI-MVS | | | 99.30 47 | 99.17 52 | 99.70 52 | 99.56 134 | 99.52 62 | 99.58 104 | 99.80 8 | 97.12 197 | 99.62 61 | 99.73 107 | 98.58 57 | 99.90 89 | 98.61 102 | 99.91 17 | 99.68 85 |
|
DeepPCF-MVS | | 98.18 3 | 98.81 118 | 99.37 17 | 97.12 315 | 99.60 125 | 91.75 343 | 98.61 332 | 99.44 164 | 99.35 1 | 99.83 12 | 99.85 27 | 98.70 50 | 99.81 148 | 99.02 52 | 99.91 17 | 99.81 35 |
|
zzz-MVS | | | 99.49 13 | 99.36 19 | 99.89 3 | 99.90 3 | 99.86 4 | 99.36 205 | 99.47 133 | 98.79 40 | 99.68 41 | 99.81 57 | 98.43 64 | 99.97 11 | 98.88 62 | 99.90 24 | 99.83 24 |
|
MTAPA | | | 99.52 11 | 99.39 15 | 99.89 3 | 99.90 3 | 99.86 4 | 99.66 68 | 99.47 133 | 98.79 40 | 99.68 41 | 99.81 57 | 98.43 64 | 99.97 11 | 98.88 62 | 99.90 24 | 99.83 24 |
|
UA-Net | | | 99.42 31 | 99.29 38 | 99.80 32 | 99.62 119 | 99.55 55 | 99.50 141 | 99.70 15 | 98.79 40 | 99.77 26 | 99.96 1 | 97.45 96 | 99.96 19 | 98.92 60 | 99.90 24 | 99.89 2 |
|
jason | | | 99.13 66 | 99.03 67 | 99.45 102 | 99.46 156 | 98.87 147 | 99.12 262 | 99.26 249 | 98.03 104 | 99.79 19 | 99.65 139 | 97.02 109 | 99.85 120 | 99.02 52 | 99.90 24 | 99.65 93 |
jason: jason. |
SteuartSystems-ACMMP | | | 99.54 7 | 99.42 11 | 99.87 7 | 99.82 30 | 99.81 14 | 99.59 97 | 99.51 87 | 98.62 50 | 99.79 19 | 99.83 40 | 99.28 3 | 99.97 11 | 98.48 120 | 99.90 24 | 99.84 13 |
Skip Steuart: Steuart Systems R&D Blog. |
DP-MVS | | | 99.16 64 | 98.95 81 | 99.78 36 | 99.77 43 | 99.53 59 | 99.41 185 | 99.50 102 | 97.03 212 | 99.04 201 | 99.88 15 | 97.39 97 | 99.92 66 | 98.66 94 | 99.90 24 | 99.87 5 |
|
MSDG | | | 98.98 97 | 98.80 101 | 99.53 85 | 99.76 46 | 99.19 95 | 98.75 324 | 99.55 57 | 97.25 185 | 99.47 97 | 99.77 88 | 97.82 86 | 99.87 109 | 96.93 240 | 99.90 24 | 99.54 121 |
|
COLMAP_ROB | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | 97.56 6 | 98.86 107 | 98.75 107 | 99.17 144 | 99.88 11 | 98.53 196 | 99.34 213 | 99.59 39 | 97.55 156 | 98.70 249 | 99.89 10 | 95.83 143 | 99.90 89 | 98.10 146 | 99.90 24 | 99.08 179 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
SMA-MVS | | | 99.44 26 | 99.30 34 | 99.85 18 | 99.73 74 | 99.83 8 | 99.56 117 | 99.47 133 | 97.45 167 | 99.78 24 | 99.82 47 | 99.18 5 | 99.91 76 | 98.79 80 | 99.89 32 | 99.81 35 |
|
mPP-MVS | | | 99.44 26 | 99.30 34 | 99.86 13 | 99.88 11 | 99.79 19 | 99.69 48 | 99.48 117 | 98.12 87 | 99.50 92 | 99.75 96 | 98.78 37 | 99.97 11 | 98.57 109 | 99.89 32 | 99.83 24 |
|
MVS_111021_LR | | | 99.41 34 | 99.33 25 | 99.65 60 | 99.77 43 | 99.51 64 | 98.94 309 | 99.85 6 | 98.82 35 | 99.65 55 | 99.74 101 | 98.51 59 | 99.80 152 | 98.83 75 | 99.89 32 | 99.64 99 |
|
TSAR-MVS + MP. | | | 99.58 3 | 99.50 7 | 99.81 30 | 99.91 1 | 99.66 38 | 99.63 82 | 99.39 187 | 98.91 29 | 99.78 24 | 99.85 27 | 99.36 2 | 99.94 42 | 98.84 72 | 99.88 35 | 99.82 31 |
|
abl_6 | | | 99.44 26 | 99.31 32 | 99.83 25 | 99.85 24 | 99.75 25 | 99.66 68 | 99.59 39 | 98.13 85 | 99.82 15 | 99.81 57 | 98.60 56 | 99.96 19 | 98.46 123 | 99.88 35 | 99.79 46 |
|
QAPM | | | 98.67 130 | 98.30 143 | 99.80 32 | 99.20 210 | 99.67 36 | 99.77 24 | 99.72 11 | 94.74 301 | 98.73 241 | 99.90 7 | 95.78 145 | 99.98 5 | 96.96 237 | 99.88 35 | 99.76 55 |
|
MVS_111021_HR | | | 99.41 34 | 99.32 26 | 99.66 56 | 99.72 78 | 99.47 68 | 98.95 307 | 99.85 6 | 98.82 35 | 99.54 84 | 99.73 107 | 98.51 59 | 99.74 172 | 98.91 61 | 99.88 35 | 99.77 52 |
|
ESAPD | | | 99.46 21 | 99.32 26 | 99.91 2 | 99.78 37 | 99.88 2 | 99.36 205 | 99.51 87 | 98.73 44 | 99.88 3 | 99.84 36 | 98.72 48 | 99.96 19 | 98.16 143 | 99.87 39 | 99.88 4 |
|
HFP-MVS | | | 99.49 13 | 99.37 17 | 99.86 13 | 99.87 15 | 99.80 15 | 99.66 68 | 99.67 22 | 98.15 83 | 99.68 41 | 99.69 122 | 99.06 9 | 99.96 19 | 98.69 91 | 99.87 39 | 99.84 13 |
|
region2R | | | 99.48 17 | 99.35 22 | 99.87 7 | 99.88 11 | 99.80 15 | 99.65 78 | 99.66 26 | 98.13 85 | 99.66 52 | 99.68 127 | 98.96 21 | 99.96 19 | 98.62 99 | 99.87 39 | 99.84 13 |
|
#test# | | | 99.43 29 | 99.29 38 | 99.86 13 | 99.87 15 | 99.80 15 | 99.55 123 | 99.67 22 | 97.83 127 | 99.68 41 | 99.69 122 | 99.06 9 | 99.96 19 | 98.39 126 | 99.87 39 | 99.84 13 |
|
Regformer-1 | | | 99.53 9 | 99.47 8 | 99.72 50 | 99.71 84 | 99.44 71 | 99.49 151 | 99.46 143 | 98.95 24 | 99.83 12 | 99.76 91 | 99.01 12 | 99.93 57 | 99.17 39 | 99.87 39 | 99.80 42 |
|
Regformer-2 | | | 99.54 7 | 99.47 8 | 99.75 41 | 99.71 84 | 99.52 62 | 99.49 151 | 99.49 107 | 98.94 26 | 99.83 12 | 99.76 91 | 99.01 12 | 99.94 42 | 99.15 42 | 99.87 39 | 99.80 42 |
|
ACMMPR | | | 99.49 13 | 99.36 19 | 99.86 13 | 99.87 15 | 99.79 19 | 99.66 68 | 99.67 22 | 98.15 83 | 99.67 47 | 99.69 122 | 98.95 24 | 99.96 19 | 98.69 91 | 99.87 39 | 99.84 13 |
|
MP-MVS | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | 99.33 44 | 99.15 53 | 99.87 7 | 99.88 11 | 99.82 13 | 99.66 68 | 99.46 143 | 98.09 92 | 99.48 96 | 99.74 101 | 98.29 73 | 99.96 19 | 97.93 162 | 99.87 39 | 99.82 31 |
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
PGM-MVS | | | 99.45 23 | 99.31 32 | 99.86 13 | 99.87 15 | 99.78 24 | 99.58 104 | 99.65 31 | 97.84 126 | 99.71 35 | 99.80 68 | 99.12 8 | 99.97 11 | 98.33 134 | 99.87 39 | 99.83 24 |
|
DeepC-MVS_fast | | 98.69 1 | 99.49 13 | 99.39 15 | 99.77 38 | 99.63 114 | 99.59 50 | 99.36 205 | 99.46 143 | 99.07 9 | 99.79 19 | 99.82 47 | 98.85 31 | 99.92 66 | 98.68 93 | 99.87 39 | 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 |
TAPA-MVS | | 97.07 15 | 97.74 238 | 97.34 256 | 98.94 170 | 99.70 90 | 97.53 246 | 99.25 239 | 99.51 87 | 91.90 338 | 99.30 133 | 99.63 151 | 98.78 37 | 99.64 206 | 88.09 343 | 99.87 39 | 99.65 93 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
GST-MVS | | | 99.40 38 | 99.24 47 | 99.85 18 | 99.86 20 | 99.79 19 | 99.60 94 | 99.67 22 | 97.97 112 | 99.63 57 | 99.68 127 | 98.52 58 | 99.95 34 | 98.38 128 | 99.86 50 | 99.81 35 |
|
XVS | | | 99.53 9 | 99.42 11 | 99.87 7 | 99.85 24 | 99.83 8 | 99.69 48 | 99.68 19 | 98.98 19 | 99.37 118 | 99.74 101 | 98.81 34 | 99.94 42 | 98.79 80 | 99.86 50 | 99.84 13 |
|
X-MVStestdata | | | 96.55 284 | 95.45 305 | 99.87 7 | 99.85 24 | 99.83 8 | 99.69 48 | 99.68 19 | 98.98 19 | 99.37 118 | 64.01 369 | 98.81 34 | 99.94 42 | 98.79 80 | 99.86 50 | 99.84 13 |
|
APD-MVS | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | 99.27 52 | 99.08 60 | 99.84 24 | 99.75 58 | 99.79 19 | 99.50 141 | 99.50 102 | 97.16 193 | 99.77 26 | 99.82 47 | 98.78 37 | 99.94 42 | 97.56 197 | 99.86 50 | 99.80 42 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
3Dnovator+ | | 97.12 13 | 99.18 61 | 98.97 76 | 99.82 27 | 99.17 220 | 99.68 34 | 99.81 15 | 99.51 87 | 99.20 4 | 98.72 242 | 99.89 10 | 95.68 148 | 99.97 11 | 98.86 69 | 99.86 50 | 99.81 35 |
|
MVSFormer | | | 99.17 62 | 99.12 56 | 99.29 126 | 99.51 140 | 98.94 139 | 99.88 1 | 99.46 143 | 97.55 156 | 99.80 17 | 99.65 139 | 97.39 97 | 99.28 263 | 99.03 50 | 99.85 55 | 99.65 93 |
|
lupinMVS | | | 99.13 66 | 99.01 71 | 99.46 101 | 99.51 140 | 98.94 139 | 99.05 279 | 99.16 260 | 97.86 121 | 99.80 17 | 99.56 174 | 97.39 97 | 99.86 113 | 98.94 59 | 99.85 55 | 99.58 116 |
|
PVSNet_Blended | | | 99.08 83 | 98.97 76 | 99.42 108 | 99.76 46 | 98.79 170 | 98.78 321 | 99.91 3 | 96.74 228 | 99.67 47 | 99.49 202 | 97.53 93 | 99.88 106 | 98.98 55 | 99.85 55 | 99.60 108 |
|
MVS-HIRNet | | | 95.75 305 | 95.16 309 | 97.51 309 | 99.30 192 | 93.69 334 | 98.88 314 | 95.78 361 | 85.09 353 | 98.78 237 | 92.65 356 | 91.29 298 | 99.37 240 | 94.85 295 | 99.85 55 | 99.46 147 |
|
PCF-MVS | | 97.08 14 | 97.66 251 | 97.06 271 | 99.47 98 | 99.61 123 | 99.09 109 | 98.04 351 | 99.25 251 | 91.24 341 | 98.51 266 | 99.70 116 | 94.55 204 | 99.91 76 | 92.76 330 | 99.85 55 | 99.42 154 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
MSLP-MVS++ | | | 99.46 21 | 99.47 8 | 99.44 105 | 99.60 125 | 99.16 99 | 99.41 185 | 99.71 13 | 98.98 19 | 99.45 100 | 99.78 82 | 99.19 4 | 99.54 220 | 99.28 28 | 99.84 60 | 99.63 103 |
|
DELS-MVS | | | 99.48 17 | 99.42 11 | 99.65 60 | 99.72 78 | 99.40 76 | 99.05 279 | 99.66 26 | 99.14 6 | 99.57 74 | 99.80 68 | 98.46 62 | 99.94 42 | 99.57 4 | 99.84 60 | 99.60 108 |
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 |
CPTT-MVS | | | 99.11 76 | 98.90 86 | 99.74 46 | 99.80 35 | 99.46 69 | 99.59 97 | 99.49 107 | 97.03 212 | 99.63 57 | 99.69 122 | 97.27 102 | 99.96 19 | 97.82 170 | 99.84 60 | 99.81 35 |
|
LS3D | | | 99.27 52 | 99.12 56 | 99.74 46 | 99.18 215 | 99.75 25 | 99.56 117 | 99.57 45 | 98.45 60 | 99.49 95 | 99.85 27 | 97.77 88 | 99.94 42 | 98.33 134 | 99.84 60 | 99.52 127 |
|
AllTest | | | 98.87 104 | 98.72 108 | 99.31 119 | 99.86 20 | 98.48 206 | 99.56 117 | 99.61 33 | 97.85 124 | 99.36 121 | 99.85 27 | 95.95 137 | 99.85 120 | 96.66 259 | 99.83 64 | 99.59 112 |
|
TestCases | | | | | 99.31 119 | 99.86 20 | 98.48 206 | | 99.61 33 | 97.85 124 | 99.36 121 | 99.85 27 | 95.95 137 | 99.85 120 | 96.66 259 | 99.83 64 | 99.59 112 |
|
CDPH-MVS | | | 99.13 66 | 98.91 85 | 99.80 32 | 99.75 58 | 99.71 30 | 99.15 258 | 99.41 177 | 96.60 239 | 99.60 67 | 99.55 177 | 98.83 32 | 99.90 89 | 97.48 205 | 99.83 64 | 99.78 50 |
|
ACMMP | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | 99.45 23 | 99.32 26 | 99.82 27 | 99.89 8 | 99.67 36 | 99.62 85 | 99.69 18 | 98.12 87 | 99.63 57 | 99.84 36 | 98.73 47 | 99.96 19 | 98.55 115 | 99.83 64 | 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 |
PVSNet_Blended_VisFu | | | 99.36 41 | 99.28 40 | 99.61 69 | 99.86 20 | 99.07 111 | 99.47 161 | 99.93 2 | 97.66 149 | 99.71 35 | 99.86 23 | 97.73 89 | 99.96 19 | 99.47 13 | 99.82 68 | 99.79 46 |
|
APD-MVS_3200maxsize | | | 99.48 17 | 99.35 22 | 99.85 18 | 99.76 46 | 99.83 8 | 99.63 82 | 99.54 64 | 98.36 66 | 99.79 19 | 99.82 47 | 98.86 30 | 99.95 34 | 98.62 99 | 99.81 69 | 99.78 50 |
|
OMC-MVS | | | 99.08 83 | 99.04 65 | 99.20 142 | 99.67 96 | 98.22 217 | 99.28 226 | 99.52 78 | 98.07 96 | 99.66 52 | 99.81 57 | 97.79 87 | 99.78 163 | 97.79 173 | 99.81 69 | 99.60 108 |
|
MS-PatchMatch | | | 97.24 275 | 97.32 259 | 96.99 316 | 98.45 323 | 93.51 336 | 98.82 318 | 99.32 228 | 97.41 173 | 98.13 287 | 99.30 263 | 88.99 320 | 99.56 217 | 95.68 280 | 99.80 71 | 97.90 331 |
|
HPM-MVS++ | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | 99.39 39 | 99.23 48 | 99.87 7 | 99.75 58 | 99.84 7 | 99.43 174 | 99.51 87 | 98.68 48 | 99.27 145 | 99.53 187 | 98.64 54 | 99.96 19 | 98.44 125 | 99.80 71 | 99.79 46 |
|
CNVR-MVS | | | 99.42 31 | 99.30 34 | 99.78 36 | 99.62 119 | 99.71 30 | 99.26 237 | 99.52 78 | 98.82 35 | 99.39 114 | 99.71 113 | 98.96 21 | 99.85 120 | 98.59 106 | 99.80 71 | 99.77 52 |
|
MG-MVS | | | 99.13 66 | 99.02 70 | 99.45 102 | 99.57 130 | 98.63 186 | 99.07 273 | 99.34 214 | 98.99 18 | 99.61 63 | 99.82 47 | 97.98 83 | 99.87 109 | 97.00 233 | 99.80 71 | 99.85 9 |
|
MVP-Stereo | | | 97.81 223 | 97.75 202 | 97.99 285 | 97.53 335 | 96.60 284 | 98.96 303 | 98.85 297 | 97.22 189 | 97.23 307 | 99.36 247 | 95.28 158 | 99.46 224 | 95.51 283 | 99.78 75 | 97.92 330 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
API-MVS | | | 99.04 88 | 99.03 67 | 99.06 155 | 99.40 171 | 99.31 85 | 99.55 123 | 99.56 50 | 98.54 54 | 99.33 129 | 99.39 235 | 98.76 42 | 99.78 163 | 96.98 235 | 99.78 75 | 98.07 320 |
|
HSP-MVS | | | 99.41 34 | 99.26 45 | 99.85 18 | 99.89 8 | 99.80 15 | 99.67 59 | 99.37 201 | 98.70 46 | 99.77 26 | 99.49 202 | 98.21 76 | 99.95 34 | 98.46 123 | 99.77 77 | 99.81 35 |
|
AdaColmap | ![Method available as binary. binary](img/icon_binary.png) | | 99.01 94 | 98.80 101 | 99.66 56 | 99.56 134 | 99.54 56 | 99.18 253 | 99.70 15 | 98.18 82 | 99.35 125 | 99.63 151 | 96.32 130 | 99.90 89 | 97.48 205 | 99.77 77 | 99.55 119 |
|
OpenMVS | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | 96.50 16 | 98.47 137 | 98.12 152 | 99.52 89 | 99.04 243 | 99.53 59 | 99.82 13 | 99.72 11 | 94.56 307 | 98.08 289 | 99.88 15 | 94.73 196 | 99.98 5 | 97.47 207 | 99.76 79 | 99.06 184 |
|
MCST-MVS | | | 99.43 29 | 99.30 34 | 99.82 27 | 99.79 36 | 99.74 28 | 99.29 224 | 99.40 184 | 98.79 40 | 99.52 88 | 99.62 156 | 98.91 27 | 99.90 89 | 98.64 96 | 99.75 80 | 99.82 31 |
|
CNLPA | | | 99.14 65 | 98.99 73 | 99.59 71 | 99.58 128 | 99.41 74 | 99.16 255 | 99.44 164 | 98.45 60 | 99.19 174 | 99.49 202 | 98.08 80 | 99.89 97 | 97.73 181 | 99.75 80 | 99.48 138 |
|
test_prior3 | | | 99.21 58 | 99.05 62 | 99.68 53 | 99.67 96 | 99.48 66 | 98.96 303 | 99.56 50 | 98.34 67 | 99.01 204 | 99.52 192 | 98.68 51 | 99.83 135 | 97.96 159 | 99.74 82 | 99.74 61 |
|
test_prior2 | | | | | | | | 98.96 303 | | 98.34 67 | 99.01 204 | 99.52 192 | 98.68 51 | | 97.96 159 | 99.74 82 | |
|
test12 | | | | | 99.75 41 | 99.64 111 | 99.61 46 | | 99.29 236 | | 99.21 168 | | 98.38 68 | 99.89 97 | | 99.74 82 | 99.74 61 |
|
agg_prior2 | | | | | | | | | | | | | | | 97.21 220 | 99.73 85 | 99.75 56 |
|
test9_res | | | | | | | | | | | | | | | 97.49 204 | 99.72 86 | 99.75 56 |
|
train_agg | | | 99.02 91 | 98.77 104 | 99.77 38 | 99.67 96 | 99.65 41 | 99.05 279 | 99.41 177 | 96.28 263 | 98.95 215 | 99.49 202 | 98.76 42 | 99.91 76 | 97.63 190 | 99.72 86 | 99.75 56 |
|
agg_prior3 | | | 98.97 99 | 98.71 110 | 99.75 41 | 99.67 96 | 99.60 48 | 99.04 284 | 99.41 177 | 95.93 287 | 98.87 225 | 99.48 208 | 98.61 55 | 99.91 76 | 97.63 190 | 99.72 86 | 99.75 56 |
|
agg_prior1 | | | 99.01 94 | 98.76 106 | 99.76 40 | 99.67 96 | 99.62 44 | 98.99 294 | 99.40 184 | 96.26 266 | 98.87 225 | 99.49 202 | 98.77 40 | 99.91 76 | 97.69 187 | 99.72 86 | 99.75 56 |
|
EPNet | | | 98.86 107 | 98.71 110 | 99.30 123 | 97.20 342 | 98.18 218 | 99.62 85 | 98.91 291 | 99.28 2 | 98.63 260 | 99.81 57 | 95.96 136 | 99.99 1 | 99.24 32 | 99.72 86 | 99.73 66 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
DP-MVS Recon | | | 99.12 71 | 98.95 81 | 99.65 60 | 99.74 69 | 99.70 32 | 99.27 229 | 99.57 45 | 96.40 257 | 99.42 107 | 99.68 127 | 98.75 45 | 99.80 152 | 97.98 158 | 99.72 86 | 99.44 151 |
|
PVSNet | | 96.02 17 | 98.85 115 | 98.84 97 | 98.89 189 | 99.73 74 | 97.28 249 | 98.32 344 | 99.60 36 | 97.86 121 | 99.50 92 | 99.57 172 | 96.75 119 | 99.86 113 | 98.56 112 | 99.70 92 | 99.54 121 |
|
原ACMM1 | | | | | 99.65 60 | 99.73 74 | 99.33 81 | | 99.47 133 | 97.46 164 | 99.12 184 | 99.66 138 | 98.67 53 | 99.91 76 | 97.70 186 | 99.69 93 | 99.71 79 |
|
test222 | | | | | | 99.75 58 | 99.49 65 | 98.91 312 | 99.49 107 | 96.42 254 | 99.34 128 | 99.65 139 | 98.28 74 | | | 99.69 93 | 99.72 72 |
|
F-COLMAP | | | 99.19 59 | 99.04 65 | 99.64 65 | 99.78 37 | 99.27 89 | 99.42 181 | 99.54 64 | 97.29 182 | 99.41 109 | 99.59 165 | 98.42 67 | 99.93 57 | 98.19 140 | 99.69 93 | 99.73 66 |
|
旧先验1 | | | | | | 99.74 69 | 99.59 50 | | 99.54 64 | | | 99.69 122 | 98.47 61 | | | 99.68 96 | 99.73 66 |
|
1121 | | | 99.09 80 | 98.87 90 | 99.75 41 | 99.74 69 | 99.60 48 | 99.27 229 | 99.48 117 | 96.82 226 | 99.25 153 | 99.65 139 | 98.38 68 | 99.93 57 | 97.53 200 | 99.67 97 | 99.73 66 |
|
PS-MVSNAJ | | | 99.32 45 | 99.32 26 | 99.30 123 | 99.57 130 | 98.94 139 | 98.97 301 | 99.46 143 | 98.92 28 | 99.71 35 | 99.24 271 | 99.01 12 | 99.98 5 | 99.35 19 | 99.66 98 | 98.97 193 |
|
新几何1 | | | | | 99.75 41 | 99.75 58 | 99.59 50 | | 99.54 64 | 96.76 227 | 99.29 137 | 99.64 147 | 98.43 64 | 99.94 42 | 96.92 241 | 99.66 98 | 99.72 72 |
|
EPNet_dtu | | | 98.03 189 | 97.96 168 | 98.23 269 | 98.27 326 | 95.54 306 | 99.23 242 | 98.75 306 | 99.02 10 | 97.82 299 | 99.71 113 | 96.11 135 | 99.48 222 | 93.04 327 | 99.65 100 | 99.69 81 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
testdata | | | | | 99.54 79 | 99.75 58 | 98.95 136 | | 99.51 87 | 97.07 208 | 99.43 104 | 99.70 116 | 98.87 29 | 99.94 42 | 97.76 177 | 99.64 101 | 99.72 72 |
|
PatchMatch-RL | | | 98.84 117 | 98.62 124 | 99.52 89 | 99.71 84 | 99.28 87 | 99.06 277 | 99.77 9 | 97.74 138 | 99.50 92 | 99.53 187 | 95.41 153 | 99.84 126 | 97.17 225 | 99.64 101 | 99.44 151 |
|
NCCC | | | 99.34 43 | 99.19 50 | 99.79 35 | 99.61 123 | 99.65 41 | 99.30 220 | 99.48 117 | 98.86 31 | 99.21 168 | 99.63 151 | 98.72 48 | 99.90 89 | 98.25 138 | 99.63 103 | 99.80 42 |
|
PLC | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | 97.94 4 | 99.02 91 | 98.85 96 | 99.53 85 | 99.66 106 | 99.01 124 | 99.24 241 | 99.52 78 | 96.85 223 | 99.27 145 | 99.48 208 | 98.25 75 | 99.91 76 | 97.76 177 | 99.62 104 | 99.65 93 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
thisisatest0530 | | | 98.35 147 | 98.03 160 | 99.31 119 | 99.63 114 | 98.56 193 | 99.54 126 | 96.75 359 | 97.53 160 | 99.73 34 | 99.65 139 | 91.25 299 | 99.89 97 | 98.62 99 | 99.56 105 | 99.48 138 |
|
tttt0517 | | | 98.42 141 | 98.14 149 | 99.28 128 | 99.66 106 | 98.38 212 | 99.74 40 | 96.85 357 | 97.68 145 | 99.79 19 | 99.74 101 | 91.39 296 | 99.89 97 | 98.83 75 | 99.56 105 | 99.57 117 |
|
BH-RMVSNet | | | 98.41 143 | 98.08 156 | 99.40 109 | 99.41 166 | 98.83 154 | 99.30 220 | 98.77 305 | 97.70 143 | 98.94 217 | 99.65 139 | 92.91 247 | 99.74 172 | 96.52 263 | 99.55 107 | 99.64 99 |
|
MAR-MVS | | | 98.86 107 | 98.63 119 | 99.54 79 | 99.37 176 | 99.66 38 | 99.45 165 | 99.54 64 | 96.61 237 | 99.01 204 | 99.40 231 | 97.09 106 | 99.86 113 | 97.68 189 | 99.53 108 | 99.10 174 |
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 |
thisisatest0515 | | | 98.14 170 | 97.79 189 | 99.19 143 | 99.50 148 | 98.50 203 | 98.61 332 | 96.82 358 | 96.95 217 | 99.54 84 | 99.43 221 | 91.66 292 | 99.86 113 | 98.08 151 | 99.51 109 | 99.22 167 |
|
Fast-Effi-MVS+-dtu | | | 98.77 124 | 98.83 100 | 98.60 229 | 99.41 166 | 96.99 268 | 99.52 132 | 99.49 107 | 98.11 89 | 99.24 158 | 99.34 254 | 96.96 112 | 99.79 155 | 97.95 161 | 99.45 110 | 99.02 188 |
|
PAPM_NR | | | 99.04 88 | 98.84 97 | 99.66 56 | 99.74 69 | 99.44 71 | 99.39 194 | 99.38 193 | 97.70 143 | 99.28 141 | 99.28 266 | 98.34 71 | 99.85 120 | 96.96 237 | 99.45 110 | 99.69 81 |
|
TSAR-MVS + GP. | | | 99.36 41 | 99.36 19 | 99.36 111 | 99.67 96 | 98.61 191 | 99.07 273 | 99.33 222 | 99.00 17 | 99.82 15 | 99.81 57 | 99.06 9 | 99.84 126 | 99.09 46 | 99.42 112 | 99.65 93 |
|
Vis-MVSNet | ![Method available under a permissive open source license. permissive](img/icon_permissive.png) | | 99.12 71 | 98.97 76 | 99.56 78 | 99.78 37 | 99.10 106 | 99.68 57 | 99.66 26 | 98.49 57 | 99.86 8 | 99.87 20 | 94.77 193 | 99.84 126 | 99.19 36 | 99.41 113 | 99.74 61 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
Effi-MVS+-dtu | | | 98.78 122 | 98.89 88 | 98.47 243 | 99.33 183 | 96.91 274 | 99.57 110 | 99.30 231 | 98.47 58 | 99.41 109 | 98.99 291 | 96.78 116 | 99.74 172 | 98.73 86 | 99.38 114 | 98.74 224 |
|
test-LLR | | | 98.06 180 | 97.90 172 | 98.55 236 | 98.79 290 | 97.10 257 | 98.67 328 | 97.75 342 | 97.34 177 | 98.61 263 | 98.85 302 | 94.45 208 | 99.45 225 | 97.25 218 | 99.38 114 | 99.10 174 |
|
TESTMET0.1,1 | | | 97.55 256 | 97.27 265 | 98.40 251 | 98.93 269 | 96.53 285 | 98.67 328 | 97.61 352 | 96.96 215 | 98.64 259 | 99.28 266 | 88.63 327 | 99.45 225 | 97.30 217 | 99.38 114 | 99.21 168 |
|
test-mter | | | 97.49 265 | 97.13 269 | 98.55 236 | 98.79 290 | 97.10 257 | 98.67 328 | 97.75 342 | 96.65 234 | 98.61 263 | 98.85 302 | 88.23 332 | 99.45 225 | 97.25 218 | 99.38 114 | 99.10 174 |
|
PAPR | | | 98.63 134 | 98.34 139 | 99.51 91 | 99.40 171 | 99.03 121 | 98.80 319 | 99.36 202 | 96.33 259 | 99.00 211 | 99.12 282 | 98.46 62 | 99.84 126 | 95.23 289 | 99.37 118 | 99.66 89 |
|
xiu_mvs_v1_base_debu | | | 99.29 49 | 99.27 42 | 99.34 113 | 99.63 114 | 98.97 131 | 99.12 262 | 99.51 87 | 98.86 31 | 99.84 9 | 99.47 212 | 98.18 77 | 99.99 1 | 99.50 8 | 99.31 119 | 99.08 179 |
|
xiu_mvs_v1_base | | | 99.29 49 | 99.27 42 | 99.34 113 | 99.63 114 | 98.97 131 | 99.12 262 | 99.51 87 | 98.86 31 | 99.84 9 | 99.47 212 | 98.18 77 | 99.99 1 | 99.50 8 | 99.31 119 | 99.08 179 |
|
xiu_mvs_v1_base_debi | | | 99.29 49 | 99.27 42 | 99.34 113 | 99.63 114 | 98.97 131 | 99.12 262 | 99.51 87 | 98.86 31 | 99.84 9 | 99.47 212 | 98.18 77 | 99.99 1 | 99.50 8 | 99.31 119 | 99.08 179 |
|
1314 | | | 98.68 129 | 98.54 132 | 99.11 152 | 98.89 277 | 98.65 184 | 99.27 229 | 99.49 107 | 96.89 221 | 97.99 294 | 99.56 174 | 97.72 90 | 99.83 135 | 97.74 180 | 99.27 122 | 98.84 209 |
|
xiu_mvs_v2_base | | | 99.26 54 | 99.25 46 | 99.29 126 | 99.53 136 | 98.91 144 | 99.02 288 | 99.45 155 | 98.80 39 | 99.71 35 | 99.26 269 | 98.94 25 | 99.98 5 | 99.34 23 | 99.23 123 | 98.98 192 |
|
PatchmatchNet | ![Method available under a permissive open source license. permissive](img/icon_permissive.png) | | 98.31 150 | 98.36 137 | 98.19 274 | 99.16 222 | 95.32 311 | 99.27 229 | 98.92 288 | 97.37 176 | 99.37 118 | 99.58 168 | 94.90 181 | 99.70 195 | 97.43 211 | 99.21 124 | 99.54 121 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
Patchmatch-test1 | | | 98.16 168 | 98.14 149 | 98.22 271 | 99.30 192 | 95.55 304 | 99.07 273 | 98.97 282 | 97.57 154 | 99.43 104 | 99.60 163 | 92.72 252 | 99.60 214 | 97.38 213 | 99.20 125 | 99.50 135 |
|
sss | | | 99.17 62 | 99.05 62 | 99.53 85 | 99.62 119 | 98.97 131 | 99.36 205 | 99.62 32 | 97.83 127 | 99.67 47 | 99.65 139 | 97.37 100 | 99.95 34 | 99.19 36 | 99.19 126 | 99.68 85 |
|
MVS | | | 97.28 273 | 96.55 280 | 99.48 94 | 98.78 294 | 98.95 136 | 99.27 229 | 99.39 187 | 83.53 354 | 98.08 289 | 99.54 180 | 96.97 111 | 99.87 109 | 94.23 313 | 99.16 127 | 99.63 103 |
|
BH-untuned | | | 98.42 141 | 98.36 137 | 98.59 230 | 99.49 149 | 96.70 280 | 99.27 229 | 99.13 264 | 97.24 187 | 98.80 235 | 99.38 236 | 95.75 146 | 99.74 172 | 97.07 230 | 99.16 127 | 99.33 161 |
|
IS-MVSNet | | | 99.05 87 | 98.87 90 | 99.57 76 | 99.73 74 | 99.32 82 | 99.75 35 | 99.20 256 | 98.02 105 | 99.56 75 | 99.86 23 | 96.54 124 | 99.67 200 | 98.09 147 | 99.13 129 | 99.73 66 |
|
Patchmatch-test | | | 97.93 205 | 97.65 214 | 98.77 217 | 99.18 215 | 97.07 261 | 99.03 285 | 99.14 263 | 96.16 275 | 98.74 240 | 99.57 172 | 94.56 203 | 99.72 183 | 93.36 322 | 99.11 130 | 99.52 127 |
|
Vis-MVSNet (Re-imp) | | | 98.87 104 | 98.72 108 | 99.31 119 | 99.71 84 | 98.88 146 | 99.80 19 | 99.44 164 | 97.91 119 | 99.36 121 | 99.78 82 | 95.49 152 | 99.43 234 | 97.91 163 | 99.11 130 | 99.62 105 |
|
RPSCF | | | 98.22 159 | 98.62 124 | 96.99 316 | 99.82 30 | 91.58 344 | 99.72 42 | 99.44 164 | 96.61 237 | 99.66 52 | 99.89 10 | 95.92 140 | 99.82 144 | 97.46 208 | 99.10 132 | 99.57 117 |
|
gg-mvs-nofinetune | | | 96.17 300 | 95.32 307 | 98.73 220 | 98.79 290 | 98.14 221 | 99.38 199 | 94.09 365 | 91.07 343 | 98.07 292 | 91.04 360 | 89.62 316 | 99.35 247 | 96.75 253 | 99.09 133 | 98.68 242 |
|
EPMVS | | | 97.82 222 | 97.65 214 | 98.35 254 | 98.88 278 | 95.98 298 | 99.49 151 | 94.71 364 | 97.57 154 | 99.26 149 | 99.48 208 | 92.46 271 | 99.71 189 | 97.87 166 | 99.08 134 | 99.35 159 |
|
MVS_Test | | | 99.10 79 | 98.97 76 | 99.48 94 | 99.49 149 | 99.14 103 | 99.67 59 | 99.34 214 | 97.31 180 | 99.58 71 | 99.76 91 | 97.65 92 | 99.82 144 | 98.87 66 | 99.07 135 | 99.46 147 |
|
ADS-MVSNet2 | | | 98.02 191 | 98.07 158 | 97.87 292 | 99.33 183 | 95.19 315 | 99.23 242 | 99.08 268 | 96.24 268 | 99.10 189 | 99.67 133 | 94.11 221 | 98.93 314 | 96.81 250 | 99.05 136 | 99.48 138 |
|
ADS-MVSNet | | | 98.20 164 | 98.08 156 | 98.56 234 | 99.33 183 | 96.48 287 | 99.23 242 | 99.15 261 | 96.24 268 | 99.10 189 | 99.67 133 | 94.11 221 | 99.71 189 | 96.81 250 | 99.05 136 | 99.48 138 |
|
mvs-test1 | | | 98.86 107 | 98.84 97 | 98.89 189 | 99.33 183 | 97.77 242 | 99.44 169 | 99.30 231 | 98.47 58 | 99.10 189 | 99.43 221 | 96.78 116 | 99.95 34 | 98.73 86 | 99.02 138 | 98.96 199 |
|
HyFIR lowres test | | | 99.11 76 | 98.92 83 | 99.65 60 | 99.90 3 | 99.37 77 | 99.02 288 | 99.91 3 | 97.67 147 | 99.59 70 | 99.75 96 | 95.90 141 | 99.73 179 | 99.53 6 | 99.02 138 | 99.86 6 |
|
LCM-MVSNet-Re | | | 97.83 219 | 98.15 148 | 96.87 320 | 99.30 192 | 92.25 342 | 99.59 97 | 98.26 333 | 97.43 169 | 96.20 319 | 99.13 279 | 96.27 132 | 98.73 319 | 98.17 142 | 98.99 140 | 99.64 99 |
|
mvs_anonymous | | | 99.03 90 | 98.99 73 | 99.16 145 | 99.38 174 | 98.52 200 | 99.51 136 | 99.38 193 | 97.79 132 | 99.38 116 | 99.81 57 | 97.30 101 | 99.45 225 | 99.35 19 | 98.99 140 | 99.51 132 |
|
diffmvs1 | | | 99.12 71 | 99.00 72 | 99.48 94 | 99.51 140 | 99.10 106 | 99.61 91 | 99.49 107 | 97.67 147 | 99.36 121 | 99.74 101 | 97.67 91 | 99.88 106 | 98.95 57 | 98.99 140 | 99.47 143 |
|
test_normal | | | 97.44 268 | 96.77 278 | 99.44 105 | 97.75 334 | 99.00 126 | 99.10 270 | 98.64 322 | 97.71 141 | 93.93 338 | 98.82 305 | 87.39 337 | 99.83 135 | 98.61 102 | 98.97 143 | 99.49 136 |
|
casdiffmvs1 | | | 99.23 57 | 99.11 58 | 99.58 74 | 99.53 136 | 99.36 78 | 99.76 27 | 99.43 172 | 97.99 110 | 99.52 88 | 99.84 36 | 97.50 95 | 99.77 165 | 99.42 17 | 98.97 143 | 99.61 107 |
|
Test4 | | | 95.05 312 | 93.67 320 | 99.22 141 | 96.07 344 | 98.94 139 | 99.20 251 | 99.27 248 | 97.71 141 | 89.96 352 | 97.59 342 | 66.18 359 | 99.25 272 | 98.06 155 | 98.96 145 | 99.47 143 |
|
EPP-MVSNet | | | 99.13 66 | 98.99 73 | 99.53 85 | 99.65 110 | 99.06 112 | 99.81 15 | 99.33 222 | 97.43 169 | 99.60 67 | 99.88 15 | 97.14 105 | 99.84 126 | 99.13 43 | 98.94 146 | 99.69 81 |
|
MIMVSNet | | | 97.73 239 | 97.45 235 | 98.57 232 | 99.45 160 | 97.50 247 | 99.02 288 | 98.98 281 | 96.11 280 | 99.41 109 | 99.14 278 | 90.28 306 | 98.74 318 | 95.74 277 | 98.93 147 | 99.47 143 |
|
TAMVS | | | 99.12 71 | 99.08 60 | 99.24 138 | 99.46 156 | 98.55 194 | 99.51 136 | 99.46 143 | 98.09 92 | 99.45 100 | 99.82 47 | 98.34 71 | 99.51 221 | 98.70 89 | 98.93 147 | 99.67 88 |
|
CDS-MVSNet | | | 99.09 80 | 99.03 67 | 99.25 135 | 99.42 163 | 98.73 176 | 99.45 165 | 99.46 143 | 98.11 89 | 99.46 99 | 99.77 88 | 98.01 82 | 99.37 240 | 98.70 89 | 98.92 149 | 99.66 89 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
PAPM | | | 97.59 255 | 97.09 270 | 99.07 154 | 99.06 239 | 98.26 216 | 98.30 345 | 99.10 266 | 94.88 298 | 98.08 289 | 99.34 254 | 96.27 132 | 99.64 206 | 89.87 338 | 98.92 149 | 99.31 162 |
|
diffmvs | | | 98.99 96 | 98.87 90 | 99.35 112 | 99.45 160 | 98.74 175 | 99.62 85 | 99.45 155 | 97.43 169 | 99.13 181 | 99.72 111 | 97.23 103 | 99.87 109 | 98.86 69 | 98.90 151 | 99.45 150 |
|
DI_MVS_plusplus_test | | | 97.45 267 | 96.79 276 | 99.44 105 | 97.76 333 | 99.04 114 | 99.21 249 | 98.61 325 | 97.74 138 | 94.01 335 | 98.83 304 | 87.38 338 | 99.83 135 | 98.63 97 | 98.90 151 | 99.44 151 |
|
XVG-OURS-SEG-HR | | | 98.69 128 | 98.62 124 | 98.89 189 | 99.71 84 | 97.74 243 | 99.12 262 | 99.54 64 | 98.44 63 | 99.42 107 | 99.71 113 | 94.20 216 | 99.92 66 | 98.54 117 | 98.90 151 | 99.00 189 |
|
PMMVS | | | 98.80 121 | 98.62 124 | 99.34 113 | 99.27 200 | 98.70 179 | 98.76 323 | 99.31 229 | 97.34 177 | 99.21 168 | 99.07 284 | 97.20 104 | 99.82 144 | 98.56 112 | 98.87 154 | 99.52 127 |
|
DSMNet-mixed | | | 97.25 274 | 97.35 253 | 96.95 318 | 97.84 331 | 93.61 335 | 99.57 110 | 96.63 360 | 96.13 279 | 98.87 225 | 98.61 317 | 94.59 202 | 97.70 342 | 95.08 291 | 98.86 155 | 99.55 119 |
|
XVG-OURS | | | 98.73 126 | 98.68 113 | 98.88 196 | 99.70 90 | 97.73 244 | 98.92 310 | 99.55 57 | 98.52 56 | 99.45 100 | 99.84 36 | 95.27 159 | 99.91 76 | 98.08 151 | 98.84 156 | 99.00 189 |
|
Fast-Effi-MVS+ | | | 98.70 127 | 98.43 134 | 99.51 91 | 99.51 140 | 99.28 87 | 99.52 132 | 99.47 133 | 96.11 280 | 99.01 204 | 99.34 254 | 96.20 134 | 99.84 126 | 97.88 165 | 98.82 157 | 99.39 157 |
|
casdiffmvs | | | 99.09 80 | 98.97 76 | 99.47 98 | 99.47 154 | 99.10 106 | 99.74 40 | 99.38 193 | 97.86 121 | 99.32 130 | 99.79 76 | 97.08 108 | 99.77 165 | 99.24 32 | 98.82 157 | 99.54 121 |
|
ab-mvs | | | 98.86 107 | 98.63 119 | 99.54 79 | 99.64 111 | 99.19 95 | 99.44 169 | 99.54 64 | 97.77 134 | 99.30 133 | 99.81 57 | 94.20 216 | 99.93 57 | 99.17 39 | 98.82 157 | 99.49 136 |
|
MDTV_nov1_ep13 | | | | 98.32 141 | | 99.11 230 | 94.44 325 | 99.27 229 | 98.74 309 | 97.51 161 | 99.40 113 | 99.62 156 | 94.78 189 | 99.76 170 | 97.59 192 | 98.81 160 | |
|
Test_1112_low_res | | | 98.89 103 | 98.66 117 | 99.57 76 | 99.69 92 | 98.95 136 | 99.03 285 | 99.47 133 | 96.98 214 | 99.15 180 | 99.23 272 | 96.77 118 | 99.89 97 | 98.83 75 | 98.78 161 | 99.86 6 |
|
1112_ss | | | 98.98 97 | 98.77 104 | 99.59 71 | 99.68 95 | 99.02 122 | 99.25 239 | 99.48 117 | 97.23 188 | 99.13 181 | 99.58 168 | 96.93 113 | 99.90 89 | 98.87 66 | 98.78 161 | 99.84 13 |
|
PatchT | | | 97.03 280 | 96.44 281 | 98.79 214 | 98.99 249 | 98.34 213 | 99.16 255 | 99.07 271 | 92.13 335 | 99.52 88 | 97.31 347 | 94.54 205 | 98.98 305 | 88.54 341 | 98.73 163 | 99.03 186 |
|
tpmrst | | | 98.33 148 | 98.48 133 | 97.90 291 | 99.16 222 | 94.78 321 | 99.31 218 | 99.11 265 | 97.27 183 | 99.45 100 | 99.59 165 | 95.33 156 | 99.84 126 | 98.48 120 | 98.61 164 | 99.09 178 |
|
BH-w/o | | | 98.00 195 | 97.89 176 | 98.32 256 | 99.35 179 | 96.20 296 | 99.01 292 | 98.90 293 | 96.42 254 | 98.38 273 | 99.00 290 | 95.26 161 | 99.72 183 | 96.06 271 | 98.61 164 | 99.03 186 |
|
cascas | | | 97.69 245 | 97.43 244 | 98.48 241 | 98.60 316 | 97.30 248 | 98.18 349 | 99.39 187 | 92.96 331 | 98.41 271 | 98.78 309 | 93.77 232 | 99.27 266 | 98.16 143 | 98.61 164 | 98.86 208 |
|
CR-MVSNet | | | 98.17 166 | 97.93 171 | 98.87 200 | 99.18 215 | 98.49 204 | 99.22 246 | 99.33 222 | 96.96 215 | 99.56 75 | 99.38 236 | 94.33 212 | 99.00 303 | 94.83 296 | 98.58 167 | 99.14 171 |
|
RPMNet | | | 96.61 283 | 95.85 291 | 98.87 200 | 99.18 215 | 98.49 204 | 99.22 246 | 99.08 268 | 88.72 350 | 99.56 75 | 97.38 345 | 94.08 223 | 99.00 303 | 86.87 348 | 98.58 167 | 99.14 171 |
|
dp | | | 97.75 236 | 97.80 188 | 97.59 306 | 99.10 233 | 93.71 333 | 99.32 215 | 98.88 295 | 96.48 250 | 99.08 194 | 99.55 177 | 92.67 262 | 99.82 144 | 96.52 263 | 98.58 167 | 99.24 166 |
|
CVMVSNet | | | 98.57 135 | 98.67 114 | 98.30 258 | 99.35 179 | 95.59 303 | 99.50 141 | 99.55 57 | 98.60 52 | 99.39 114 | 99.83 40 | 94.48 207 | 99.45 225 | 98.75 83 | 98.56 170 | 99.85 9 |
|
Effi-MVS+ | | | 98.81 118 | 98.59 129 | 99.48 94 | 99.46 156 | 99.12 105 | 98.08 350 | 99.50 102 | 97.50 162 | 99.38 116 | 99.41 227 | 96.37 129 | 99.81 148 | 99.11 45 | 98.54 171 | 99.51 132 |
|
testgi | | | 97.65 252 | 97.50 227 | 98.13 277 | 99.36 178 | 96.45 288 | 99.42 181 | 99.48 117 | 97.76 135 | 97.87 297 | 99.45 219 | 91.09 300 | 98.81 317 | 94.53 300 | 98.52 172 | 99.13 173 |
|
tpm cat1 | | | 97.39 270 | 97.36 251 | 97.50 310 | 99.17 220 | 93.73 331 | 99.43 174 | 99.31 229 | 91.27 340 | 98.71 243 | 99.08 283 | 94.31 214 | 99.77 165 | 96.41 267 | 98.50 173 | 99.00 189 |
|
WTY-MVS | | | 99.06 85 | 98.88 89 | 99.61 69 | 99.62 119 | 99.16 99 | 99.37 201 | 99.56 50 | 98.04 102 | 99.53 86 | 99.62 156 | 96.84 114 | 99.94 42 | 98.85 71 | 98.49 174 | 99.72 72 |
|
testus | | | 94.61 315 | 95.30 308 | 92.54 336 | 96.44 343 | 84.18 352 | 98.36 341 | 99.03 277 | 94.18 316 | 96.49 316 | 98.57 319 | 88.74 322 | 95.09 354 | 87.41 345 | 98.45 175 | 98.36 314 |
|
tpmvs | | | 97.98 196 | 98.02 162 | 97.84 295 | 99.04 243 | 94.73 323 | 99.31 218 | 99.20 256 | 96.10 284 | 98.76 239 | 99.42 224 | 94.94 176 | 99.81 148 | 96.97 236 | 98.45 175 | 98.97 193 |
|
LP | | | 97.04 279 | 96.80 275 | 97.77 300 | 98.90 274 | 95.23 313 | 98.97 301 | 99.06 274 | 94.02 318 | 98.09 288 | 99.41 227 | 93.88 228 | 98.82 316 | 90.46 336 | 98.42 177 | 99.26 165 |
|
LFMVS | | | 97.90 210 | 97.35 253 | 99.54 79 | 99.52 138 | 99.01 124 | 99.39 194 | 98.24 334 | 97.10 201 | 99.65 55 | 99.79 76 | 84.79 347 | 99.91 76 | 99.28 28 | 98.38 178 | 99.69 81 |
|
0601test | | | 98.86 107 | 98.63 119 | 99.54 79 | 99.49 149 | 99.18 97 | 99.50 141 | 99.07 271 | 98.22 77 | 99.61 63 | 99.51 195 | 95.37 154 | 99.84 126 | 98.60 104 | 98.33 179 | 99.59 112 |
|
Anonymous20240529 | | | 98.09 177 | 97.68 207 | 99.34 113 | 99.66 106 | 98.44 208 | 99.40 192 | 99.43 172 | 93.67 323 | 99.22 165 | 99.89 10 | 90.23 310 | 99.93 57 | 99.26 31 | 98.33 179 | 99.66 89 |
|
Anonymous20240521 | | | 98.86 107 | 98.63 119 | 99.54 79 | 99.49 149 | 99.18 97 | 99.50 141 | 99.07 271 | 98.22 77 | 99.61 63 | 99.51 195 | 95.37 154 | 99.84 126 | 98.60 104 | 98.33 179 | 99.59 112 |
|
GA-MVS | | | 97.85 215 | 97.47 232 | 99.00 162 | 99.38 174 | 97.99 226 | 98.57 335 | 99.15 261 | 97.04 211 | 98.90 222 | 99.30 263 | 89.83 313 | 99.38 237 | 96.70 256 | 98.33 179 | 99.62 105 |
|
VDD-MVS | | | 97.73 239 | 97.35 253 | 98.88 196 | 99.47 154 | 97.12 256 | 99.34 213 | 98.85 297 | 98.19 79 | 99.67 47 | 99.85 27 | 82.98 351 | 99.92 66 | 99.49 12 | 98.32 183 | 99.60 108 |
|
Anonymous202405211 | | | 98.30 151 | 97.98 166 | 99.26 134 | 99.57 130 | 98.16 219 | 99.41 185 | 98.55 328 | 96.03 285 | 99.19 174 | 99.74 101 | 91.87 282 | 99.92 66 | 99.16 41 | 98.29 184 | 99.70 80 |
|
view600 | | | 97.97 199 | 97.66 209 | 98.89 189 | 99.75 58 | 97.81 237 | 99.69 48 | 98.80 301 | 98.02 105 | 99.25 153 | 98.88 298 | 91.95 277 | 99.89 97 | 94.36 305 | 98.29 184 | 98.96 199 |
|
view800 | | | 97.97 199 | 97.66 209 | 98.89 189 | 99.75 58 | 97.81 237 | 99.69 48 | 98.80 301 | 98.02 105 | 99.25 153 | 98.88 298 | 91.95 277 | 99.89 97 | 94.36 305 | 98.29 184 | 98.96 199 |
|
conf0.05thres1000 | | | 97.97 199 | 97.66 209 | 98.89 189 | 99.75 58 | 97.81 237 | 99.69 48 | 98.80 301 | 98.02 105 | 99.25 153 | 98.88 298 | 91.95 277 | 99.89 97 | 94.36 305 | 98.29 184 | 98.96 199 |
|
tfpn | | | 97.97 199 | 97.66 209 | 98.89 189 | 99.75 58 | 97.81 237 | 99.69 48 | 98.80 301 | 98.02 105 | 99.25 153 | 98.88 298 | 91.95 277 | 99.89 97 | 94.36 305 | 98.29 184 | 98.96 199 |
|
tfpn1000 | | | 98.33 148 | 98.02 162 | 99.25 135 | 99.78 37 | 98.73 176 | 99.70 45 | 97.55 353 | 97.48 163 | 99.69 40 | 99.53 187 | 92.37 273 | 99.85 120 | 97.82 170 | 98.26 189 | 99.16 170 |
|
GG-mvs-BLEND | | | | | 98.45 245 | 98.55 319 | 98.16 219 | 99.43 174 | 93.68 366 | | 97.23 307 | 98.46 321 | 89.30 318 | 99.22 278 | 95.43 285 | 98.22 190 | 97.98 326 |
|
thres200 | | | 97.61 254 | 97.28 263 | 98.62 228 | 99.64 111 | 98.03 224 | 99.26 237 | 98.74 309 | 97.68 145 | 99.09 193 | 98.32 324 | 91.66 292 | 99.81 148 | 92.88 329 | 98.22 190 | 98.03 324 |
|
HY-MVS | | 97.30 7 | 98.85 115 | 98.64 118 | 99.47 98 | 99.42 163 | 99.08 110 | 99.62 85 | 99.36 202 | 97.39 175 | 99.28 141 | 99.68 127 | 96.44 127 | 99.92 66 | 98.37 130 | 98.22 190 | 99.40 156 |
|
thres600view7 | | | 97.86 214 | 97.51 225 | 98.92 178 | 99.72 78 | 97.95 230 | 99.59 97 | 98.74 309 | 97.94 115 | 99.27 145 | 98.62 313 | 91.75 284 | 99.86 113 | 93.73 318 | 98.19 193 | 98.96 199 |
|
tfpn111 | | | 97.81 223 | 97.49 229 | 98.78 216 | 99.72 78 | 97.86 233 | 99.59 97 | 98.74 309 | 97.93 116 | 99.26 149 | 98.62 313 | 91.75 284 | 99.86 113 | 93.57 319 | 98.18 194 | 98.61 287 |
|
conf200view11 | | | 97.78 230 | 97.45 235 | 98.77 217 | 99.72 78 | 97.86 233 | 99.59 97 | 98.74 309 | 97.93 116 | 99.26 149 | 98.62 313 | 91.75 284 | 99.83 135 | 93.22 323 | 98.18 194 | 98.61 287 |
|
thres100view900 | | | 97.76 232 | 97.45 235 | 98.69 223 | 99.72 78 | 97.86 233 | 99.59 97 | 98.74 309 | 97.93 116 | 99.26 149 | 98.62 313 | 91.75 284 | 99.83 135 | 93.22 323 | 98.18 194 | 98.37 312 |
|
tfpn200view9 | | | 97.72 241 | 97.38 249 | 98.72 221 | 99.69 92 | 97.96 228 | 99.50 141 | 98.73 318 | 97.83 127 | 99.17 178 | 98.45 322 | 91.67 290 | 99.83 135 | 93.22 323 | 98.18 194 | 98.37 312 |
|
VNet | | | 99.11 76 | 98.90 86 | 99.73 48 | 99.52 138 | 99.56 53 | 99.41 185 | 99.39 187 | 99.01 13 | 99.74 33 | 99.78 82 | 95.56 149 | 99.92 66 | 99.52 7 | 98.18 194 | 99.72 72 |
|
thres400 | | | 97.77 231 | 97.38 249 | 98.92 178 | 99.69 92 | 97.96 228 | 99.50 141 | 98.73 318 | 97.83 127 | 99.17 178 | 98.45 322 | 91.67 290 | 99.83 135 | 93.22 323 | 98.18 194 | 98.96 199 |
|
PatchFormer-LS_test | | | 98.01 194 | 98.05 159 | 97.87 292 | 99.15 225 | 94.76 322 | 99.42 181 | 98.93 286 | 97.12 197 | 98.84 231 | 98.59 318 | 93.74 235 | 99.80 152 | 98.55 115 | 98.17 200 | 99.06 184 |
|
DWT-MVSNet_test | | | 97.53 258 | 97.40 247 | 97.93 288 | 99.03 245 | 94.86 320 | 99.57 110 | 98.63 323 | 96.59 241 | 98.36 275 | 98.79 307 | 89.32 317 | 99.74 172 | 98.14 145 | 98.16 201 | 99.20 169 |
|
tfpn_ndepth | | | 98.17 166 | 97.84 184 | 99.15 147 | 99.75 58 | 98.76 174 | 99.61 91 | 97.39 355 | 96.92 220 | 99.61 63 | 99.38 236 | 92.19 275 | 99.86 113 | 97.57 195 | 98.13 202 | 98.82 210 |
|
VDDNet | | | 97.55 256 | 97.02 272 | 99.16 145 | 99.49 149 | 98.12 223 | 99.38 199 | 99.30 231 | 95.35 294 | 99.68 41 | 99.90 7 | 82.62 353 | 99.93 57 | 99.31 26 | 98.13 202 | 99.42 154 |
|
conf0.01 | | | 98.21 162 | 97.89 176 | 99.15 147 | 99.76 46 | 99.04 114 | 99.67 59 | 97.71 345 | 97.10 201 | 99.55 78 | 99.54 180 | 92.70 255 | 99.79 155 | 96.90 243 | 98.12 204 | 98.61 287 |
|
conf0.002 | | | 98.21 162 | 97.89 176 | 99.15 147 | 99.76 46 | 99.04 114 | 99.67 59 | 97.71 345 | 97.10 201 | 99.55 78 | 99.54 180 | 92.70 255 | 99.79 155 | 96.90 243 | 98.12 204 | 98.61 287 |
|
thresconf0.02 | | | 98.24 155 | 97.89 176 | 99.27 130 | 99.76 46 | 99.04 114 | 99.67 59 | 97.71 345 | 97.10 201 | 99.55 78 | 99.54 180 | 92.70 255 | 99.79 155 | 96.90 243 | 98.12 204 | 98.97 193 |
|
tfpn_n400 | | | 98.24 155 | 97.89 176 | 99.27 130 | 99.76 46 | 99.04 114 | 99.67 59 | 97.71 345 | 97.10 201 | 99.55 78 | 99.54 180 | 92.70 255 | 99.79 155 | 96.90 243 | 98.12 204 | 98.97 193 |
|
tfpnconf | | | 98.24 155 | 97.89 176 | 99.27 130 | 99.76 46 | 99.04 114 | 99.67 59 | 97.71 345 | 97.10 201 | 99.55 78 | 99.54 180 | 92.70 255 | 99.79 155 | 96.90 243 | 98.12 204 | 98.97 193 |
|
tfpnview11 | | | 98.24 155 | 97.89 176 | 99.27 130 | 99.76 46 | 99.04 114 | 99.67 59 | 97.71 345 | 97.10 201 | 99.55 78 | 99.54 180 | 92.70 255 | 99.79 155 | 96.90 243 | 98.12 204 | 98.97 193 |
|
alignmvs | | | 98.81 118 | 98.56 131 | 99.58 74 | 99.43 162 | 99.42 73 | 99.51 136 | 98.96 284 | 98.61 51 | 99.35 125 | 98.92 297 | 94.78 189 | 99.77 165 | 99.35 19 | 98.11 210 | 99.54 121 |
|
tpm2 | | | 97.44 268 | 97.34 256 | 97.74 302 | 99.15 225 | 94.36 326 | 99.45 165 | 98.94 285 | 93.45 329 | 98.90 222 | 99.44 220 | 91.35 297 | 99.59 216 | 97.31 216 | 98.07 211 | 99.29 163 |
|
tpmp4_e23 | | | 97.34 271 | 97.29 262 | 97.52 308 | 99.25 204 | 93.73 331 | 99.58 104 | 99.19 259 | 94.00 319 | 98.20 283 | 99.41 227 | 90.74 304 | 99.74 172 | 97.13 226 | 98.07 211 | 99.07 183 |
|
test2356 | | | 94.07 321 | 94.46 316 | 92.89 334 | 95.18 348 | 86.13 350 | 97.60 355 | 99.06 274 | 93.61 325 | 96.15 322 | 98.28 325 | 85.60 344 | 93.95 356 | 86.68 349 | 98.00 213 | 98.59 295 |
|
JIA-IIPM | | | 97.50 263 | 97.02 272 | 98.93 173 | 98.73 300 | 97.80 241 | 99.30 220 | 98.97 282 | 91.73 339 | 98.91 220 | 94.86 354 | 95.10 168 | 99.71 189 | 97.58 193 | 97.98 214 | 99.28 164 |
|
CostFormer | | | 97.72 241 | 97.73 203 | 97.71 303 | 99.15 225 | 94.02 329 | 99.54 126 | 99.02 278 | 94.67 302 | 99.04 201 | 99.35 251 | 92.35 274 | 99.77 165 | 98.50 119 | 97.94 215 | 99.34 160 |
|
canonicalmvs | | | 99.02 91 | 98.86 94 | 99.51 91 | 99.42 163 | 99.32 82 | 99.80 19 | 99.48 117 | 98.63 49 | 99.31 132 | 98.81 306 | 97.09 106 | 99.75 171 | 99.27 30 | 97.90 216 | 99.47 143 |
|
OpenMVS_ROB | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | 92.34 20 | 94.38 318 | 93.70 319 | 96.41 326 | 97.38 337 | 93.17 337 | 99.06 277 | 98.75 306 | 86.58 351 | 94.84 328 | 98.26 326 | 81.53 354 | 99.32 254 | 89.01 340 | 97.87 217 | 96.76 346 |
|
TR-MVS | | | 97.76 232 | 97.41 246 | 98.82 210 | 99.06 239 | 97.87 232 | 98.87 315 | 98.56 327 | 96.63 236 | 98.68 251 | 99.22 273 | 92.49 267 | 99.65 204 | 95.40 286 | 97.79 218 | 98.95 206 |
|
DeepMVS_CX | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | | | 93.34 332 | 99.29 195 | 82.27 357 | | 99.22 254 | 85.15 352 | 96.33 318 | 99.05 287 | 90.97 302 | 99.73 179 | 93.57 319 | 97.77 219 | 98.01 325 |
|
CLD-MVS | | | 98.16 168 | 98.10 153 | 98.33 255 | 99.29 195 | 96.82 277 | 98.75 324 | 99.44 164 | 97.83 127 | 99.13 181 | 99.55 177 | 92.92 245 | 99.67 200 | 98.32 136 | 97.69 220 | 98.48 304 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
HQP_MVS | | | 98.27 154 | 98.22 147 | 98.44 248 | 99.29 195 | 96.97 270 | 99.39 194 | 99.47 133 | 98.97 22 | 99.11 186 | 99.61 160 | 92.71 253 | 99.69 198 | 97.78 174 | 97.63 221 | 98.67 253 |
|
plane_prior5 | | | | | | | | | 99.47 133 | | | | | 99.69 198 | 97.78 174 | 97.63 221 | 98.67 253 |
|
test_djsdf | | | 98.67 130 | 98.57 130 | 98.98 164 | 98.70 305 | 98.91 144 | 99.88 1 | 99.46 143 | 97.55 156 | 99.22 165 | 99.88 15 | 95.73 147 | 99.28 263 | 99.03 50 | 97.62 223 | 98.75 221 |
|
anonymousdsp | | | 98.44 139 | 98.28 144 | 98.94 170 | 98.50 321 | 98.96 135 | 99.77 24 | 99.50 102 | 97.07 208 | 98.87 225 | 99.77 88 | 94.76 194 | 99.28 263 | 98.66 94 | 97.60 224 | 98.57 299 |
|
plane_prior | | | | | | | 96.97 270 | 99.21 249 | | 98.45 60 | | | | | | 97.60 224 | |
|
HQP3-MVS | | | | | | | | | 99.39 187 | | | | | | | 97.58 226 | |
|
HQP-MVS | | | 98.02 191 | 97.90 172 | 98.37 253 | 99.19 212 | 96.83 275 | 98.98 298 | 99.39 187 | 98.24 73 | 98.66 252 | 99.40 231 | 92.47 268 | 99.64 206 | 97.19 222 | 97.58 226 | 98.64 269 |
|
EI-MVSNet | | | 98.67 130 | 98.67 114 | 98.68 224 | 99.35 179 | 97.97 227 | 99.50 141 | 99.38 193 | 96.93 219 | 99.20 171 | 99.83 40 | 97.87 84 | 99.36 244 | 98.38 128 | 97.56 228 | 98.71 228 |
|
MVSTER | | | 98.49 136 | 98.32 141 | 99.00 162 | 99.35 179 | 99.02 122 | 99.54 126 | 99.38 193 | 97.41 173 | 99.20 171 | 99.73 107 | 93.86 230 | 99.36 244 | 98.87 66 | 97.56 228 | 98.62 278 |
|
OPM-MVS | | | 98.19 165 | 98.10 153 | 98.45 245 | 98.88 278 | 97.07 261 | 99.28 226 | 99.38 193 | 98.57 53 | 99.22 165 | 99.81 57 | 92.12 276 | 99.66 202 | 98.08 151 | 97.54 230 | 98.61 287 |
|
LPG-MVS_test | | | 98.22 159 | 98.13 151 | 98.49 239 | 99.33 183 | 97.05 263 | 99.58 104 | 99.55 57 | 97.46 164 | 99.24 158 | 99.83 40 | 92.58 264 | 99.72 183 | 98.09 147 | 97.51 231 | 98.68 242 |
|
LGP-MVS_train | | | | | 98.49 239 | 99.33 183 | 97.05 263 | | 99.55 57 | 97.46 164 | 99.24 158 | 99.83 40 | 92.58 264 | 99.72 183 | 98.09 147 | 97.51 231 | 98.68 242 |
|
jajsoiax | | | 98.43 140 | 98.28 144 | 98.88 196 | 98.60 316 | 98.43 209 | 99.82 13 | 99.53 74 | 98.19 79 | 98.63 260 | 99.80 68 | 93.22 241 | 99.44 230 | 99.22 34 | 97.50 233 | 98.77 217 |
|
EG-PatchMatch MVS | | | 95.97 303 | 95.69 297 | 96.81 321 | 97.78 332 | 92.79 339 | 99.16 255 | 98.93 286 | 96.16 275 | 94.08 332 | 99.22 273 | 82.72 352 | 99.47 223 | 95.67 281 | 97.50 233 | 98.17 318 |
|
test_0402 | | | 96.64 282 | 96.24 283 | 97.85 294 | 98.85 285 | 96.43 289 | 99.44 169 | 99.26 249 | 93.52 326 | 96.98 313 | 99.52 192 | 88.52 328 | 99.20 283 | 92.58 332 | 97.50 233 | 97.93 329 |
|
ACMP | | 97.20 11 | 98.06 180 | 97.94 170 | 98.45 245 | 99.37 176 | 97.01 266 | 99.44 169 | 99.49 107 | 97.54 159 | 98.45 270 | 99.79 76 | 91.95 277 | 99.72 183 | 97.91 163 | 97.49 236 | 98.62 278 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
mvs_tets | | | 98.40 144 | 98.23 146 | 98.91 182 | 98.67 309 | 98.51 202 | 99.66 68 | 99.53 74 | 98.19 79 | 98.65 258 | 99.81 57 | 92.75 249 | 99.44 230 | 99.31 26 | 97.48 237 | 98.77 217 |
|
ACMM | | 97.58 5 | 98.37 146 | 98.34 139 | 98.48 241 | 99.41 166 | 97.10 257 | 99.56 117 | 99.45 155 | 98.53 55 | 99.04 201 | 99.85 27 | 93.00 243 | 99.71 189 | 98.74 84 | 97.45 238 | 98.64 269 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
ACMH | | 97.28 8 | 98.10 176 | 97.99 165 | 98.44 248 | 99.41 166 | 96.96 272 | 99.60 94 | 99.56 50 | 98.09 92 | 98.15 286 | 99.91 5 | 90.87 303 | 99.70 195 | 98.88 62 | 97.45 238 | 98.67 253 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
LTVRE_ROB | | 97.16 12 | 98.02 191 | 97.90 172 | 98.40 251 | 99.23 205 | 96.80 278 | 99.70 45 | 99.60 36 | 97.12 197 | 98.18 285 | 99.70 116 | 91.73 288 | 99.72 183 | 98.39 126 | 97.45 238 | 98.68 242 |
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 |
ACMMP++ | | | | | | | | | | | | | | | | 97.43 241 | |
|
testpf | | | 95.66 306 | 96.02 289 | 94.58 330 | 98.35 325 | 92.32 341 | 97.25 357 | 97.91 341 | 92.83 332 | 97.03 312 | 98.99 291 | 88.69 324 | 98.61 320 | 95.72 278 | 97.40 242 | 92.80 355 |
|
ITE_SJBPF | | | | | 98.08 278 | 99.29 195 | 96.37 290 | | 98.92 288 | 98.34 67 | 98.83 232 | 99.75 96 | 91.09 300 | 99.62 212 | 95.82 275 | 97.40 242 | 98.25 317 |
|
XVG-ACMP-BASELINE | | | 97.83 219 | 97.71 205 | 98.20 273 | 99.11 230 | 96.33 292 | 99.41 185 | 99.52 78 | 98.06 100 | 99.05 200 | 99.50 199 | 89.64 315 | 99.73 179 | 97.73 181 | 97.38 244 | 98.53 301 |
|
USDC | | | 97.34 271 | 97.20 267 | 97.75 301 | 99.07 237 | 95.20 314 | 98.51 338 | 99.04 276 | 97.99 110 | 98.31 278 | 99.86 23 | 89.02 319 | 99.55 219 | 95.67 281 | 97.36 245 | 98.49 303 |
|
pcd1.5k->3k | | | 40.85 343 | 43.49 345 | 32.93 356 | 98.95 261 | 0.00 374 | 0.00 365 | 99.53 74 | 0.00 369 | 0.00 371 | 0.27 371 | 95.32 157 | 0.00 371 | 0.00 368 | 97.30 246 | 98.80 212 |
|
PVSNet_BlendedMVS | | | 98.86 107 | 98.80 101 | 99.03 158 | 99.76 46 | 98.79 170 | 99.28 226 | 99.91 3 | 97.42 172 | 99.67 47 | 99.37 240 | 97.53 93 | 99.88 106 | 98.98 55 | 97.29 247 | 98.42 308 |
|
PS-MVSNAJss | | | 98.92 102 | 98.92 83 | 98.90 186 | 98.78 294 | 98.53 196 | 99.78 22 | 99.54 64 | 98.07 96 | 99.00 211 | 99.76 91 | 99.01 12 | 99.37 240 | 99.13 43 | 97.23 248 | 98.81 211 |
|
TinyColmap | | | 97.12 277 | 96.89 274 | 97.83 296 | 99.07 237 | 95.52 307 | 98.57 335 | 98.74 309 | 97.58 153 | 97.81 300 | 99.79 76 | 88.16 333 | 99.56 217 | 95.10 290 | 97.21 249 | 98.39 311 |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 97.19 250 | |
|
ACMH+ | | 97.24 10 | 97.92 208 | 97.78 192 | 98.32 256 | 99.46 156 | 96.68 282 | 99.56 117 | 99.54 64 | 98.41 64 | 97.79 301 | 99.87 20 | 90.18 311 | 99.66 202 | 98.05 156 | 97.18 251 | 98.62 278 |
|
test0.0.03 1 | | | 97.71 244 | 97.42 245 | 98.56 234 | 98.41 324 | 97.82 236 | 98.78 321 | 98.63 323 | 97.34 177 | 98.05 293 | 98.98 294 | 94.45 208 | 98.98 305 | 95.04 292 | 97.15 252 | 98.89 207 |
|
CMPMVS | ![Method available as binary. binary](img/icon_binary.png) | 69.68 23 | 94.13 319 | 94.90 311 | 91.84 338 | 97.24 341 | 80.01 359 | 98.52 337 | 99.48 117 | 89.01 348 | 91.99 346 | 99.67 133 | 85.67 343 | 99.13 288 | 95.44 284 | 97.03 253 | 96.39 348 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
OurMVSNet-221017-0 | | | 97.88 211 | 97.77 196 | 98.19 274 | 98.71 304 | 96.53 285 | 99.88 1 | 99.00 279 | 97.79 132 | 98.78 237 | 99.94 3 | 91.68 289 | 99.35 247 | 97.21 220 | 96.99 254 | 98.69 237 |
|
LF4IMVS | | | 97.52 259 | 97.46 234 | 97.70 304 | 98.98 253 | 95.55 304 | 99.29 224 | 98.82 300 | 98.07 96 | 98.66 252 | 99.64 147 | 89.97 312 | 99.61 213 | 97.01 232 | 96.68 255 | 97.94 328 |
|
GBi-Net | | | 97.68 247 | 97.48 230 | 98.29 259 | 99.51 140 | 97.26 251 | 99.43 174 | 99.48 117 | 96.49 244 | 99.07 195 | 99.32 260 | 90.26 307 | 98.98 305 | 97.10 227 | 96.65 256 | 98.62 278 |
|
test1 | | | 97.68 247 | 97.48 230 | 98.29 259 | 99.51 140 | 97.26 251 | 99.43 174 | 99.48 117 | 96.49 244 | 99.07 195 | 99.32 260 | 90.26 307 | 98.98 305 | 97.10 227 | 96.65 256 | 98.62 278 |
|
FMVSNet3 | | | 98.03 189 | 97.76 199 | 98.84 208 | 99.39 173 | 98.98 128 | 99.40 192 | 99.38 193 | 96.67 233 | 99.07 195 | 99.28 266 | 92.93 244 | 98.98 305 | 97.10 227 | 96.65 256 | 98.56 300 |
|
FMVSNet2 | | | 97.72 241 | 97.36 251 | 98.80 213 | 99.51 140 | 98.84 151 | 99.45 165 | 99.42 175 | 96.49 244 | 98.86 230 | 99.29 265 | 90.26 307 | 98.98 305 | 96.44 265 | 96.56 259 | 98.58 298 |
|
K. test v3 | | | 97.10 278 | 96.79 276 | 98.01 283 | 98.72 302 | 96.33 292 | 99.87 4 | 97.05 356 | 97.59 151 | 96.16 320 | 99.80 68 | 88.71 323 | 99.04 297 | 96.69 257 | 96.55 260 | 98.65 267 |
|
tpm | | | 97.67 250 | 97.55 220 | 98.03 280 | 99.02 246 | 95.01 318 | 99.43 174 | 98.54 329 | 96.44 252 | 99.12 184 | 99.34 254 | 91.83 283 | 99.60 214 | 97.75 179 | 96.46 261 | 99.48 138 |
|
SixPastTwentyTwo | | | 97.50 263 | 97.33 258 | 98.03 280 | 98.65 310 | 96.23 295 | 99.77 24 | 98.68 321 | 97.14 194 | 97.90 296 | 99.93 4 | 90.45 305 | 99.18 284 | 97.00 233 | 96.43 262 | 98.67 253 |
|
FIs | | | 98.78 122 | 98.63 119 | 99.23 140 | 99.18 215 | 99.54 56 | 99.83 12 | 99.59 39 | 98.28 71 | 98.79 236 | 99.81 57 | 96.75 119 | 99.37 240 | 99.08 47 | 96.38 263 | 98.78 214 |
|
FC-MVSNet-test | | | 98.75 125 | 98.62 124 | 99.15 147 | 99.08 236 | 99.45 70 | 99.86 8 | 99.60 36 | 98.23 76 | 98.70 249 | 99.82 47 | 96.80 115 | 99.22 278 | 99.07 48 | 96.38 263 | 98.79 213 |
|
XXY-MVS | | | 98.38 145 | 98.09 155 | 99.24 138 | 99.26 202 | 99.32 82 | 99.56 117 | 99.55 57 | 97.45 167 | 98.71 243 | 99.83 40 | 93.23 239 | 99.63 211 | 98.88 62 | 96.32 265 | 98.76 219 |
|
FMVSNet1 | | | 96.84 281 | 96.36 282 | 98.29 259 | 99.32 190 | 97.26 251 | 99.43 174 | 99.48 117 | 95.11 296 | 98.55 265 | 99.32 260 | 83.95 350 | 98.98 305 | 95.81 276 | 96.26 266 | 98.62 278 |
|
N_pmnet | | | 94.95 314 | 95.83 292 | 92.31 337 | 98.47 322 | 79.33 360 | 99.12 262 | 92.81 370 | 93.87 321 | 97.68 302 | 99.13 279 | 93.87 229 | 99.01 302 | 91.38 334 | 96.19 267 | 98.59 295 |
|
pmmvs4 | | | 98.13 171 | 97.90 172 | 98.81 211 | 98.61 315 | 98.87 147 | 98.99 294 | 99.21 255 | 96.44 252 | 99.06 199 | 99.58 168 | 95.90 141 | 99.11 291 | 97.18 224 | 96.11 268 | 98.46 307 |
|
testing_2 | | | 94.44 317 | 92.93 323 | 98.98 164 | 94.16 351 | 99.00 126 | 99.42 181 | 99.28 243 | 96.60 239 | 84.86 354 | 96.84 348 | 70.91 356 | 99.27 266 | 98.23 139 | 96.08 269 | 98.68 242 |
|
our_test_3 | | | 97.65 252 | 97.68 207 | 97.55 307 | 98.62 313 | 94.97 319 | 98.84 317 | 99.30 231 | 96.83 225 | 98.19 284 | 99.34 254 | 97.01 110 | 99.02 300 | 95.00 293 | 96.01 270 | 98.64 269 |
|
IterMVS | | | 97.83 219 | 97.77 196 | 98.02 282 | 99.58 128 | 96.27 294 | 99.02 288 | 99.48 117 | 97.22 189 | 98.71 243 | 99.70 116 | 92.75 249 | 99.13 288 | 97.46 208 | 96.00 271 | 98.67 253 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
ppachtmachnet_test | | | 97.49 265 | 97.45 235 | 97.61 305 | 98.62 313 | 95.24 312 | 98.80 319 | 99.46 143 | 96.11 280 | 98.22 282 | 99.62 156 | 96.45 126 | 98.97 312 | 93.77 317 | 95.97 272 | 98.61 287 |
|
pmmvs5 | | | 97.52 259 | 97.30 261 | 98.16 276 | 98.57 318 | 96.73 279 | 99.27 229 | 98.90 293 | 96.14 278 | 98.37 274 | 99.53 187 | 91.54 295 | 99.14 285 | 97.51 202 | 95.87 273 | 98.63 276 |
|
semantic-postprocess | | | | | 98.06 279 | 99.57 130 | 96.36 291 | | 99.49 107 | 97.18 191 | 98.71 243 | 99.72 111 | 92.70 255 | 99.14 285 | 97.44 210 | 95.86 274 | 98.67 253 |
|
new_pmnet | | | 96.38 291 | 96.03 287 | 97.41 311 | 98.13 329 | 95.16 317 | 99.05 279 | 99.20 256 | 93.94 320 | 97.39 305 | 98.79 307 | 91.61 294 | 99.04 297 | 90.43 337 | 95.77 275 | 98.05 321 |
|
FMVSNet5 | | | 96.43 287 | 96.19 284 | 97.15 313 | 99.11 230 | 95.89 300 | 99.32 215 | 99.52 78 | 94.47 311 | 98.34 277 | 99.07 284 | 87.54 336 | 97.07 345 | 92.61 331 | 95.72 276 | 98.47 305 |
|
Gipuma | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | 90.99 327 | 90.15 328 | 93.51 331 | 98.73 300 | 90.12 346 | 93.98 361 | 99.45 155 | 79.32 356 | 92.28 345 | 94.91 353 | 69.61 357 | 97.98 336 | 87.42 344 | 95.67 277 | 92.45 357 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
IterMVS-LS | | | 98.46 138 | 98.42 135 | 98.58 231 | 99.59 127 | 98.00 225 | 99.37 201 | 99.43 172 | 96.94 218 | 99.07 195 | 99.59 165 | 97.87 84 | 99.03 299 | 98.32 136 | 95.62 278 | 98.71 228 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
Patchmtry | | | 97.75 236 | 97.40 247 | 98.81 211 | 99.10 233 | 98.87 147 | 99.11 268 | 99.33 222 | 94.83 299 | 98.81 233 | 99.38 236 | 94.33 212 | 99.02 300 | 96.10 270 | 95.57 279 | 98.53 301 |
|
MIMVSNet1 | | | 95.51 307 | 95.04 310 | 96.92 319 | 97.38 337 | 95.60 302 | 99.52 132 | 99.50 102 | 93.65 324 | 96.97 314 | 99.17 276 | 85.28 345 | 96.56 349 | 88.36 342 | 95.55 280 | 98.60 294 |
|
tfpnnormal | | | 97.84 217 | 97.47 232 | 98.98 164 | 99.20 210 | 99.22 94 | 99.64 80 | 99.61 33 | 96.32 260 | 98.27 281 | 99.70 116 | 93.35 238 | 99.44 230 | 95.69 279 | 95.40 281 | 98.27 315 |
|
test1235678 | | | 92.91 324 | 93.30 321 | 91.71 340 | 93.14 354 | 83.01 354 | 98.75 324 | 98.58 326 | 92.80 333 | 92.45 344 | 97.91 329 | 88.51 329 | 93.54 357 | 82.26 353 | 95.35 282 | 98.59 295 |
|
EU-MVSNet | | | 97.98 196 | 98.03 160 | 97.81 298 | 98.72 302 | 96.65 283 | 99.66 68 | 99.66 26 | 98.09 92 | 98.35 276 | 99.82 47 | 95.25 162 | 98.01 335 | 97.41 212 | 95.30 283 | 98.78 214 |
|
v1240 | | | 97.69 245 | 97.32 259 | 98.79 214 | 98.85 285 | 98.43 209 | 99.48 156 | 99.36 202 | 96.11 280 | 99.27 145 | 99.36 247 | 93.76 233 | 99.24 274 | 94.46 302 | 95.23 284 | 98.70 232 |
|
v1192 | | | 97.81 223 | 97.44 241 | 98.91 182 | 98.88 278 | 98.68 180 | 99.51 136 | 99.34 214 | 96.18 273 | 99.20 171 | 99.34 254 | 94.03 224 | 99.36 244 | 95.32 288 | 95.18 285 | 98.69 237 |
|
v1144 | | | 97.98 196 | 97.69 206 | 98.85 207 | 98.87 281 | 98.66 183 | 99.54 126 | 99.35 206 | 96.27 265 | 99.23 163 | 99.35 251 | 94.67 199 | 99.23 275 | 96.73 254 | 95.16 286 | 98.68 242 |
|
v7 | | | 98.05 186 | 97.78 192 | 98.87 200 | 98.99 249 | 98.67 181 | 99.64 80 | 99.34 214 | 96.31 262 | 99.29 137 | 99.51 195 | 94.78 189 | 99.27 266 | 97.03 231 | 95.15 287 | 98.66 264 |
|
v1921920 | | | 97.80 226 | 97.45 235 | 98.84 208 | 98.80 288 | 98.53 196 | 99.52 132 | 99.34 214 | 96.15 277 | 99.24 158 | 99.47 212 | 93.98 225 | 99.29 262 | 95.40 286 | 95.13 288 | 98.69 237 |
|
Anonymous20231206 | | | 96.22 298 | 96.03 287 | 96.79 322 | 97.31 340 | 94.14 328 | 99.63 82 | 99.08 268 | 96.17 274 | 97.04 311 | 99.06 286 | 93.94 226 | 97.76 341 | 86.96 347 | 95.06 289 | 98.47 305 |
|
v144192 | | | 97.92 208 | 97.60 218 | 98.87 200 | 98.83 287 | 98.65 184 | 99.55 123 | 99.34 214 | 96.20 271 | 99.32 130 | 99.40 231 | 94.36 211 | 99.26 271 | 96.37 268 | 95.03 290 | 98.70 232 |
|
v2v482 | | | 98.06 180 | 97.77 196 | 98.92 178 | 98.90 274 | 98.82 161 | 99.57 110 | 99.36 202 | 96.65 234 | 99.19 174 | 99.35 251 | 94.20 216 | 99.25 272 | 97.72 185 | 94.97 291 | 98.69 237 |
|
FPMVS | | | 84.93 331 | 85.65 331 | 82.75 351 | 86.77 364 | 63.39 369 | 98.35 343 | 98.92 288 | 74.11 358 | 83.39 356 | 98.98 294 | 50.85 364 | 92.40 361 | 84.54 351 | 94.97 291 | 92.46 356 |
|
lessismore_v0 | | | | | 97.79 299 | 98.69 306 | 95.44 310 | | 94.75 363 | | 95.71 324 | 99.87 20 | 88.69 324 | 99.32 254 | 95.89 274 | 94.93 293 | 98.62 278 |
|
v6 | | | 98.12 173 | 97.84 184 | 98.94 170 | 98.94 264 | 98.83 154 | 99.66 68 | 99.34 214 | 96.49 244 | 99.30 133 | 99.37 240 | 94.95 175 | 99.34 250 | 97.77 176 | 94.74 294 | 98.67 253 |
|
v1neww | | | 98.12 173 | 97.84 184 | 98.93 173 | 98.97 256 | 98.81 163 | 99.66 68 | 99.35 206 | 96.49 244 | 99.29 137 | 99.37 240 | 95.02 171 | 99.32 254 | 97.73 181 | 94.73 295 | 98.67 253 |
|
v7new | | | 98.12 173 | 97.84 184 | 98.93 173 | 98.97 256 | 98.81 163 | 99.66 68 | 99.35 206 | 96.49 244 | 99.29 137 | 99.37 240 | 95.02 171 | 99.32 254 | 97.73 181 | 94.73 295 | 98.67 253 |
|
v1141 | | | 98.05 186 | 97.76 199 | 98.91 182 | 98.91 273 | 98.78 172 | 99.57 110 | 99.35 206 | 96.41 256 | 99.23 163 | 99.36 247 | 94.93 178 | 99.27 266 | 97.38 213 | 94.72 297 | 98.68 242 |
|
v1 | | | 98.05 186 | 97.76 199 | 98.93 173 | 98.92 271 | 98.80 168 | 99.57 110 | 99.35 206 | 96.39 258 | 99.28 141 | 99.36 247 | 94.86 184 | 99.32 254 | 97.38 213 | 94.72 297 | 98.68 242 |
|
divwei89l23v2f112 | | | 98.06 180 | 97.78 192 | 98.91 182 | 98.90 274 | 98.77 173 | 99.57 110 | 99.35 206 | 96.45 251 | 99.24 158 | 99.37 240 | 94.92 179 | 99.27 266 | 97.50 203 | 94.71 299 | 98.68 242 |
|
V42 | | | 98.06 180 | 97.79 189 | 98.86 204 | 98.98 253 | 98.84 151 | 99.69 48 | 99.34 214 | 96.53 243 | 99.30 133 | 99.37 240 | 94.67 199 | 99.32 254 | 97.57 195 | 94.66 300 | 98.42 308 |
|
test12356 | | | 91.74 326 | 92.19 327 | 90.37 343 | 91.22 356 | 82.41 355 | 98.61 332 | 98.28 332 | 90.66 344 | 91.82 347 | 97.92 328 | 84.90 346 | 92.61 358 | 81.64 354 | 94.66 300 | 96.09 350 |
|
v10 | | | 97.85 215 | 97.52 223 | 98.86 204 | 98.99 249 | 98.67 181 | 99.75 35 | 99.41 177 | 95.70 291 | 98.98 213 | 99.41 227 | 94.75 195 | 99.23 275 | 96.01 273 | 94.63 302 | 98.67 253 |
|
nrg030 | | | 98.64 133 | 98.42 135 | 99.28 128 | 99.05 242 | 99.69 33 | 99.81 15 | 99.46 143 | 98.04 102 | 99.01 204 | 99.82 47 | 96.69 121 | 99.38 237 | 99.34 23 | 94.59 303 | 98.78 214 |
|
VPA-MVSNet | | | 98.29 152 | 97.95 169 | 99.30 123 | 99.16 222 | 99.54 56 | 99.50 141 | 99.58 44 | 98.27 72 | 99.35 125 | 99.37 240 | 92.53 266 | 99.65 204 | 99.35 19 | 94.46 304 | 98.72 226 |
|
MDA-MVSNet_test_wron | | | 95.45 308 | 94.60 313 | 98.01 283 | 98.16 328 | 97.21 255 | 99.11 268 | 99.24 252 | 93.49 327 | 80.73 359 | 98.98 294 | 93.02 242 | 98.18 323 | 94.22 314 | 94.45 305 | 98.64 269 |
|
Anonymous20231211 | | | 97.88 211 | 97.54 222 | 98.90 186 | 99.71 84 | 98.53 196 | 99.48 156 | 99.57 45 | 94.16 317 | 98.81 233 | 99.68 127 | 93.23 239 | 99.42 235 | 98.84 72 | 94.42 306 | 98.76 219 |
|
MDA-MVSNet-bldmvs | | | 94.96 313 | 93.98 318 | 97.92 289 | 98.24 327 | 97.27 250 | 99.15 258 | 99.33 222 | 93.80 322 | 80.09 360 | 99.03 289 | 88.31 331 | 97.86 339 | 93.49 321 | 94.36 307 | 98.62 278 |
|
WR-MVS | | | 98.06 180 | 97.73 203 | 99.06 155 | 98.86 284 | 99.25 91 | 99.19 252 | 99.35 206 | 97.30 181 | 98.66 252 | 99.43 221 | 93.94 226 | 99.21 282 | 98.58 107 | 94.28 308 | 98.71 228 |
|
1111 | | | 92.30 325 | 92.21 326 | 92.55 335 | 93.30 352 | 86.27 348 | 99.15 258 | 98.74 309 | 91.94 336 | 90.85 349 | 97.82 330 | 84.18 348 | 95.21 352 | 79.65 355 | 94.27 309 | 96.19 349 |
|
test20.03 | | | 96.12 301 | 95.96 290 | 96.63 323 | 97.44 336 | 95.45 309 | 99.51 136 | 99.38 193 | 96.55 242 | 96.16 320 | 99.25 270 | 93.76 233 | 96.17 350 | 87.35 346 | 94.22 310 | 98.27 315 |
|
YYNet1 | | | 95.36 310 | 94.51 315 | 97.92 289 | 97.89 330 | 97.10 257 | 99.10 270 | 99.23 253 | 93.26 330 | 80.77 358 | 99.04 288 | 92.81 248 | 98.02 334 | 94.30 310 | 94.18 311 | 98.64 269 |
|
CP-MVSNet | | | 98.09 177 | 97.78 192 | 99.01 160 | 98.97 256 | 99.24 92 | 99.67 59 | 99.46 143 | 97.25 185 | 98.48 269 | 99.64 147 | 93.79 231 | 99.06 295 | 98.63 97 | 94.10 312 | 98.74 224 |
|
v8 | | | 97.95 204 | 97.63 216 | 98.93 173 | 98.95 261 | 98.81 163 | 99.80 19 | 99.41 177 | 96.03 285 | 99.10 189 | 99.42 224 | 94.92 179 | 99.30 260 | 96.94 239 | 94.08 313 | 98.66 264 |
|
PS-CasMVS | | | 97.93 205 | 97.59 219 | 98.95 169 | 98.99 249 | 99.06 112 | 99.68 57 | 99.52 78 | 97.13 195 | 98.31 278 | 99.68 127 | 92.44 272 | 99.05 296 | 98.51 118 | 94.08 313 | 98.75 221 |
|
V4 | | | 97.80 226 | 97.51 225 | 98.67 226 | 98.79 290 | 98.63 186 | 99.87 4 | 99.44 164 | 95.87 288 | 99.01 204 | 99.46 216 | 94.52 206 | 99.33 251 | 96.64 262 | 93.97 315 | 98.05 321 |
|
v52 | | | 97.79 228 | 97.50 227 | 98.66 227 | 98.80 288 | 98.62 188 | 99.87 4 | 99.44 164 | 95.87 288 | 99.01 204 | 99.46 216 | 94.44 210 | 99.33 251 | 96.65 261 | 93.96 316 | 98.05 321 |
|
v7n | | | 97.87 213 | 97.52 223 | 98.92 178 | 98.76 298 | 98.58 192 | 99.84 9 | 99.46 143 | 96.20 271 | 98.91 220 | 99.70 116 | 94.89 182 | 99.44 230 | 96.03 272 | 93.89 317 | 98.75 221 |
|
WR-MVS_H | | | 98.13 171 | 97.87 183 | 98.90 186 | 99.02 246 | 98.84 151 | 99.70 45 | 99.59 39 | 97.27 183 | 98.40 272 | 99.19 275 | 95.53 150 | 99.23 275 | 98.34 133 | 93.78 318 | 98.61 287 |
|
NR-MVSNet | | | 97.97 199 | 97.61 217 | 99.02 159 | 98.87 281 | 99.26 90 | 99.47 161 | 99.42 175 | 97.63 150 | 97.08 310 | 99.50 199 | 95.07 169 | 99.13 288 | 97.86 167 | 93.59 319 | 98.68 242 |
|
pm-mvs1 | | | 97.68 247 | 97.28 263 | 98.88 196 | 99.06 239 | 98.62 188 | 99.50 141 | 99.45 155 | 96.32 260 | 97.87 297 | 99.79 76 | 92.47 268 | 99.35 247 | 97.54 199 | 93.54 320 | 98.67 253 |
|
UniMVSNet (Re) | | | 98.29 152 | 98.00 164 | 99.13 151 | 99.00 248 | 99.36 78 | 99.49 151 | 99.51 87 | 97.95 114 | 98.97 214 | 99.13 279 | 96.30 131 | 99.38 237 | 98.36 132 | 93.34 321 | 98.66 264 |
|
VPNet | | | 97.84 217 | 97.44 241 | 99.01 160 | 99.21 208 | 98.94 139 | 99.48 156 | 99.57 45 | 98.38 65 | 99.28 141 | 99.73 107 | 88.89 321 | 99.39 236 | 99.19 36 | 93.27 322 | 98.71 228 |
|
PEN-MVS | | | 97.76 232 | 97.44 241 | 98.72 221 | 98.77 297 | 98.54 195 | 99.78 22 | 99.51 87 | 97.06 210 | 98.29 280 | 99.64 147 | 92.63 263 | 98.89 315 | 98.09 147 | 93.16 323 | 98.72 226 |
|
v148 | | | 97.79 228 | 97.55 220 | 98.50 238 | 98.74 299 | 97.72 245 | 99.54 126 | 99.33 222 | 96.26 266 | 98.90 222 | 99.51 195 | 94.68 198 | 99.14 285 | 97.83 169 | 93.15 324 | 98.63 276 |
|
TranMVSNet+NR-MVSNet | | | 97.93 205 | 97.66 209 | 98.76 219 | 98.78 294 | 98.62 188 | 99.65 78 | 99.49 107 | 97.76 135 | 98.49 268 | 99.60 163 | 94.23 215 | 98.97 312 | 98.00 157 | 92.90 325 | 98.70 232 |
|
Baseline_NR-MVSNet | | | 97.76 232 | 97.45 235 | 98.68 224 | 99.09 235 | 98.29 214 | 99.41 185 | 98.85 297 | 95.65 292 | 98.63 260 | 99.67 133 | 94.82 186 | 99.10 293 | 98.07 154 | 92.89 326 | 98.64 269 |
|
UniMVSNet_NR-MVSNet | | | 98.22 159 | 97.97 167 | 98.96 167 | 98.92 271 | 98.98 128 | 99.48 156 | 99.53 74 | 97.76 135 | 98.71 243 | 99.46 216 | 96.43 128 | 99.22 278 | 98.57 109 | 92.87 327 | 98.69 237 |
|
DU-MVS | | | 98.08 179 | 97.79 189 | 98.96 167 | 98.87 281 | 98.98 128 | 99.41 185 | 99.45 155 | 97.87 120 | 98.71 243 | 99.50 199 | 94.82 186 | 99.22 278 | 98.57 109 | 92.87 327 | 98.68 242 |
|
pmmvs6 | | | 96.53 285 | 96.09 286 | 97.82 297 | 98.69 306 | 95.47 308 | 99.37 201 | 99.47 133 | 93.46 328 | 97.41 304 | 99.78 82 | 87.06 339 | 99.33 251 | 96.92 241 | 92.70 329 | 98.65 267 |
|
DTE-MVSNet | | | 97.51 262 | 97.19 268 | 98.46 244 | 98.63 312 | 98.13 222 | 99.84 9 | 99.48 117 | 96.68 232 | 97.97 295 | 99.67 133 | 92.92 245 | 98.56 321 | 96.88 249 | 92.60 330 | 98.70 232 |
|
v748 | | | 97.52 259 | 97.23 266 | 98.41 250 | 98.69 306 | 97.23 254 | 99.87 4 | 99.45 155 | 95.72 290 | 98.51 266 | 99.53 187 | 94.13 220 | 99.30 260 | 96.78 252 | 92.39 331 | 98.70 232 |
|
TransMVSNet (Re) | | | 97.15 276 | 96.58 279 | 98.86 204 | 99.12 228 | 98.85 150 | 99.49 151 | 98.91 291 | 95.48 293 | 97.16 309 | 99.80 68 | 93.38 237 | 99.11 291 | 94.16 315 | 91.73 332 | 98.62 278 |
|
ambc | | | | | 93.06 333 | 92.68 355 | 82.36 356 | 98.47 339 | 98.73 318 | | 95.09 326 | 97.41 344 | 55.55 363 | 99.10 293 | 96.42 266 | 91.32 333 | 97.71 341 |
|
PMVS | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | 70.75 22 | 75.98 340 | 74.97 339 | 79.01 353 | 70.98 370 | 55.18 370 | 93.37 362 | 98.21 335 | 65.08 365 | 61.78 367 | 93.83 355 | 21.74 374 | 92.53 359 | 78.59 357 | 91.12 334 | 89.34 361 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
UnsupCasMVSNet_eth | | | 96.44 286 | 96.12 285 | 97.40 312 | 98.65 310 | 95.65 301 | 99.36 205 | 99.51 87 | 97.13 195 | 96.04 323 | 98.99 291 | 88.40 330 | 98.17 324 | 96.71 255 | 90.27 335 | 98.40 310 |
|
Patchmatch-RL test | | | 95.84 304 | 95.81 293 | 95.95 327 | 95.61 345 | 90.57 345 | 98.24 346 | 98.39 330 | 95.10 297 | 95.20 325 | 98.67 312 | 94.78 189 | 97.77 340 | 96.28 269 | 90.02 336 | 99.51 132 |
|
PM-MVS | | | 92.96 323 | 92.23 325 | 95.14 329 | 95.61 345 | 89.98 347 | 99.37 201 | 98.21 335 | 94.80 300 | 95.04 327 | 97.69 335 | 65.06 360 | 97.90 338 | 94.30 310 | 89.98 337 | 97.54 345 |
|
pmmvs-eth3d | | | 95.34 311 | 94.73 312 | 97.15 313 | 95.53 347 | 95.94 299 | 99.35 210 | 99.10 266 | 95.13 295 | 93.55 341 | 97.54 343 | 88.15 334 | 97.91 337 | 94.58 299 | 89.69 338 | 97.61 342 |
|
testmv | | | 87.91 328 | 87.80 329 | 88.24 344 | 87.68 363 | 77.50 362 | 99.07 273 | 97.66 351 | 89.27 346 | 86.47 353 | 96.22 351 | 68.35 358 | 92.49 360 | 76.63 359 | 88.82 339 | 94.72 353 |
|
v11 | | | 96.23 297 | 95.57 303 | 98.21 272 | 98.93 269 | 98.83 154 | 99.72 42 | 99.29 236 | 94.29 315 | 94.05 333 | 97.64 337 | 94.88 183 | 98.04 333 | 92.89 328 | 88.43 340 | 97.77 340 |
|
new-patchmatchnet | | | 94.48 316 | 94.08 317 | 95.67 328 | 95.08 349 | 92.41 340 | 99.18 253 | 99.28 243 | 94.55 308 | 93.49 342 | 97.37 346 | 87.86 335 | 97.01 346 | 91.57 333 | 88.36 341 | 97.61 342 |
|
v18 | | | 96.42 288 | 95.80 295 | 98.26 262 | 98.95 261 | 98.82 161 | 99.76 27 | 99.28 243 | 94.58 304 | 94.12 330 | 97.70 333 | 95.22 164 | 98.16 325 | 94.83 296 | 87.80 342 | 97.79 339 |
|
v16 | | | 96.39 290 | 95.76 296 | 98.26 262 | 98.96 259 | 98.81 163 | 99.76 27 | 99.28 243 | 94.57 305 | 94.10 331 | 97.70 333 | 95.04 170 | 98.16 325 | 94.70 298 | 87.77 343 | 97.80 334 |
|
v17 | | | 96.42 288 | 95.81 293 | 98.25 266 | 98.94 264 | 98.80 168 | 99.76 27 | 99.28 243 | 94.57 305 | 94.18 329 | 97.71 332 | 95.23 163 | 98.16 325 | 94.86 294 | 87.73 344 | 97.80 334 |
|
UnsupCasMVSNet_bld | | | 93.53 322 | 92.51 324 | 96.58 325 | 97.38 337 | 93.82 330 | 98.24 346 | 99.48 117 | 91.10 342 | 93.10 343 | 96.66 349 | 74.89 355 | 98.37 322 | 94.03 316 | 87.71 345 | 97.56 344 |
|
pmmvs3 | | | 94.09 320 | 93.25 322 | 96.60 324 | 94.76 350 | 94.49 324 | 98.92 310 | 98.18 337 | 89.66 345 | 96.48 317 | 98.06 327 | 86.28 340 | 97.33 344 | 89.68 339 | 87.20 346 | 97.97 327 |
|
v15 | | | 96.28 292 | 95.62 298 | 98.25 266 | 98.94 264 | 98.83 154 | 99.76 27 | 99.29 236 | 94.52 309 | 94.02 334 | 97.61 339 | 95.02 171 | 98.13 329 | 94.53 300 | 86.92 347 | 97.80 334 |
|
V14 | | | 96.26 293 | 95.60 299 | 98.26 262 | 98.94 264 | 98.83 154 | 99.76 27 | 99.29 236 | 94.49 310 | 93.96 336 | 97.66 336 | 94.99 174 | 98.13 329 | 94.41 303 | 86.90 348 | 97.80 334 |
|
V9 | | | 96.25 294 | 95.58 300 | 98.26 262 | 98.94 264 | 98.83 154 | 99.75 35 | 99.29 236 | 94.45 312 | 93.96 336 | 97.62 338 | 94.94 176 | 98.14 328 | 94.40 304 | 86.87 349 | 97.81 332 |
|
v13 | | | 96.24 295 | 95.58 300 | 98.25 266 | 98.98 253 | 98.83 154 | 99.75 35 | 99.29 236 | 94.35 314 | 93.89 339 | 97.60 340 | 95.17 166 | 98.11 331 | 94.27 312 | 86.86 350 | 97.81 332 |
|
v12 | | | 96.24 295 | 95.58 300 | 98.23 269 | 98.96 259 | 98.81 163 | 99.76 27 | 99.29 236 | 94.42 313 | 93.85 340 | 97.60 340 | 95.12 167 | 98.09 332 | 94.32 309 | 86.85 351 | 97.80 334 |
|
IB-MVS | | 95.67 18 | 96.22 298 | 95.44 306 | 98.57 232 | 99.21 208 | 96.70 280 | 98.65 331 | 97.74 344 | 96.71 230 | 97.27 306 | 98.54 320 | 86.03 341 | 99.92 66 | 98.47 122 | 86.30 352 | 99.10 174 |
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 |
LCM-MVSNet | | | 86.80 330 | 85.22 333 | 91.53 341 | 87.81 362 | 80.96 358 | 98.23 348 | 98.99 280 | 71.05 359 | 90.13 351 | 96.51 350 | 48.45 366 | 96.88 347 | 90.51 335 | 85.30 353 | 96.76 346 |
|
TDRefinement | | | 95.42 309 | 94.57 314 | 97.97 286 | 89.83 360 | 96.11 297 | 99.48 156 | 98.75 306 | 96.74 228 | 96.68 315 | 99.88 15 | 88.65 326 | 99.71 189 | 98.37 130 | 82.74 354 | 98.09 319 |
|
PVSNet_0 | | 94.43 19 | 96.09 302 | 95.47 304 | 97.94 287 | 99.31 191 | 94.34 327 | 97.81 352 | 99.70 15 | 97.12 197 | 97.46 303 | 98.75 310 | 89.71 314 | 99.79 155 | 97.69 187 | 81.69 355 | 99.68 85 |
|
PMMVS2 | | | 86.87 329 | 85.37 332 | 91.35 342 | 90.21 359 | 83.80 353 | 98.89 313 | 97.45 354 | 83.13 355 | 91.67 348 | 95.03 352 | 48.49 365 | 94.70 355 | 85.86 350 | 77.62 356 | 95.54 351 |
|
PNet_i23d | | | 79.43 337 | 77.68 338 | 84.67 347 | 86.18 365 | 71.69 367 | 96.50 359 | 93.68 366 | 75.17 357 | 71.33 363 | 91.18 359 | 32.18 370 | 90.62 362 | 78.57 358 | 74.34 357 | 91.71 359 |
|
MVE | ![Method available under a permissive open source license. permissive](img/icon_permissive.png) | 76.82 21 | 76.91 339 | 74.31 341 | 84.70 346 | 85.38 367 | 76.05 365 | 96.88 358 | 93.17 368 | 67.39 362 | 71.28 364 | 89.01 363 | 21.66 375 | 87.69 364 | 71.74 362 | 72.29 358 | 90.35 360 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
E-PMN | | | 80.61 335 | 79.88 336 | 82.81 350 | 90.75 358 | 76.38 364 | 97.69 353 | 95.76 362 | 66.44 363 | 83.52 355 | 92.25 357 | 62.54 362 | 87.16 365 | 68.53 363 | 61.40 359 | 84.89 364 |
|
EMVS | | | 80.02 336 | 79.22 337 | 82.43 352 | 91.19 357 | 76.40 363 | 97.55 356 | 92.49 372 | 66.36 364 | 83.01 357 | 91.27 358 | 64.63 361 | 85.79 366 | 65.82 364 | 60.65 360 | 85.08 363 |
|
wuykxyi23d | | | 74.42 341 | 71.19 342 | 84.14 349 | 76.16 368 | 74.29 366 | 96.00 360 | 92.57 371 | 69.57 360 | 63.84 366 | 87.49 364 | 21.98 372 | 88.86 363 | 75.56 361 | 57.50 361 | 89.26 362 |
|
ANet_high | | | 77.30 338 | 74.86 340 | 84.62 348 | 75.88 369 | 77.61 361 | 97.63 354 | 93.15 369 | 88.81 349 | 64.27 365 | 89.29 361 | 36.51 368 | 83.93 367 | 75.89 360 | 52.31 362 | 92.33 358 |
|
no-one | | | 83.04 333 | 80.12 335 | 91.79 339 | 89.44 361 | 85.65 351 | 99.32 215 | 98.32 331 | 89.06 347 | 79.79 362 | 89.16 362 | 44.86 367 | 96.67 348 | 84.33 352 | 46.78 363 | 93.05 354 |
|
tmp_tt | | | 82.80 334 | 81.52 334 | 86.66 345 | 66.61 371 | 68.44 368 | 92.79 363 | 97.92 339 | 68.96 361 | 80.04 361 | 99.85 27 | 85.77 342 | 96.15 351 | 97.86 167 | 43.89 364 | 95.39 352 |
|
.test1245 | | | 83.42 332 | 86.17 330 | 75.15 354 | 93.30 352 | 86.27 348 | 99.15 258 | 98.74 309 | 91.94 336 | 90.85 349 | 97.82 330 | 84.18 348 | 95.21 352 | 79.65 355 | 39.90 365 | 43.98 366 |
|
testmvs | | | 39.17 345 | 43.78 344 | 25.37 358 | 36.04 373 | 16.84 373 | 98.36 341 | 26.56 373 | 20.06 367 | 38.51 369 | 67.32 365 | 29.64 371 | 15.30 370 | 37.59 366 | 39.90 365 | 43.98 366 |
|
test123 | | | 39.01 346 | 42.50 346 | 28.53 357 | 39.17 372 | 20.91 372 | 98.75 324 | 19.17 375 | 19.83 368 | 38.57 368 | 66.67 366 | 33.16 369 | 15.42 369 | 37.50 367 | 29.66 367 | 49.26 365 |
|
wuyk23d | | | 40.18 344 | 41.29 347 | 36.84 355 | 86.18 365 | 49.12 371 | 79.73 364 | 22.81 374 | 27.64 366 | 25.46 370 | 28.45 370 | 21.98 372 | 48.89 368 | 55.80 365 | 23.56 368 | 12.51 368 |
|
test_part1 | | | | | 0.00 359 | | 0.00 374 | 0.00 365 | 99.48 117 | | | | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
v1.0 | | | 41.40 342 | 55.20 343 | 0.00 359 | 99.81 33 | 0.00 374 | 0.00 365 | 99.48 117 | 97.97 112 | 99.77 26 | 99.78 82 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
cdsmvs_eth3d_5k | | | 24.64 347 | 32.85 348 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 99.51 87 | 0.00 369 | 0.00 371 | 99.56 174 | 96.58 123 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
pcd_1.5k_mvsjas | | | 8.27 349 | 11.03 350 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 0.27 371 | 99.01 12 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
sosnet-low-res | | | 0.02 350 | 0.03 351 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 0.27 371 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
sosnet | | | 0.02 350 | 0.03 351 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 0.27 371 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
uncertanet | | | 0.02 350 | 0.03 351 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 0.27 371 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
Regformer | | | 0.02 350 | 0.03 351 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 0.27 371 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
ab-mvs-re | | | 8.30 348 | 11.06 349 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 99.58 168 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
uanet | | | 0.02 350 | 0.03 351 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 0.27 371 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
GSMVS | | | | | | | | | | | | | | | | | 99.52 127 |
|
test_part2 | | | | | | 99.81 33 | 99.83 8 | | | | 99.77 26 | | | | | | |
|
sam_mvs1 | | | | | | | | | | | | | 94.86 184 | | | | 99.52 127 |
|
sam_mvs | | | | | | | | | | | | | 94.72 197 | | | | |
|
MTGPA | ![Method available as binary. binary](img/icon_binary.png) | | | | | | | | 99.47 133 | | | | | | | | |
|
test_post1 | | | | | | | | 99.23 242 | | | | 65.14 368 | 94.18 219 | 99.71 189 | 97.58 193 | | |
|
test_post | | | | | | | | | | | | 65.99 367 | 94.65 201 | 99.73 179 | | | |
|
patchmatchnet-post | | | | | | | | | | | | 98.70 311 | 94.79 188 | 99.74 172 | | | |
|
MTMP | | | | | | | | 99.54 126 | 98.88 295 | | | | | | | | |
|
gm-plane-assit | | | | | | 98.54 320 | 92.96 338 | | | 94.65 303 | | 99.15 277 | | 99.64 206 | 97.56 197 | | |
|
TEST9 | | | | | | 99.67 96 | 99.65 41 | 99.05 279 | 99.41 177 | 96.22 270 | 98.95 215 | 99.49 202 | 98.77 40 | 99.91 76 | | | |
|
test_8 | | | | | | 99.67 96 | 99.61 46 | 99.03 285 | 99.41 177 | 96.28 263 | 98.93 218 | 99.48 208 | 98.76 42 | 99.91 76 | | | |
|
agg_prior | | | | | | 99.67 96 | 99.62 44 | | 99.40 184 | | 98.87 225 | | | 99.91 76 | | | |
|
test_prior4 | | | | | | | 99.56 53 | 98.99 294 | | | | | | | | | |
|
test_prior | | | | | 99.68 53 | 99.67 96 | 99.48 66 | | 99.56 50 | | | | | 99.83 135 | | | 99.74 61 |
|
旧先验2 | | | | | | | | 98.96 303 | | 96.70 231 | 99.47 97 | | | 99.94 42 | 98.19 140 | | |
|
新几何2 | | | | | | | | 99.01 292 | | | | | | | | | |
|
无先验 | | | | | | | | 98.99 294 | 99.51 87 | 96.89 221 | | | | 99.93 57 | 97.53 200 | | 99.72 72 |
|
原ACMM2 | | | | | | | | 98.95 307 | | | | | | | | | |
|
testdata2 | | | | | | | | | | | | | | 99.95 34 | 96.67 258 | | |
|
segment_acmp | | | | | | | | | | | | | 98.96 21 | | | | |
|
testdata1 | | | | | | | | 98.85 316 | | 98.32 70 | | | | | | | |
|
plane_prior7 | | | | | | 99.29 195 | 97.03 265 | | | | | | | | | | |
|
plane_prior6 | | | | | | 99.27 200 | 96.98 269 | | | | | | 92.71 253 | | | | |
|
plane_prior4 | | | | | | | | | | | | 99.61 160 | | | | | |
|
plane_prior3 | | | | | | | 97.00 267 | | | 98.69 47 | 99.11 186 | | | | | | |
|
plane_prior2 | | | | | | | | 99.39 194 | | 98.97 22 | | | | | | | |
|
plane_prior1 | | | | | | 99.26 202 | | | | | | | | | | | |
|
n2 | | | | | | | | | 0.00 376 | | | | | | | | |
|
nn | | | | | | | | | 0.00 376 | | | | | | | | |
|
door-mid | | | | | | | | | 98.05 338 | | | | | | | | |
|
test11 | | | | | | | | | 99.35 206 | | | | | | | | |
|
door | | | | | | | | | 97.92 339 | | | | | | | | |
|
HQP5-MVS | | | | | | | 96.83 275 | | | | | | | | | | |
|
HQP-NCC | | | | | | 99.19 212 | | 98.98 298 | | 98.24 73 | 98.66 252 | | | | | | |
|
ACMP_Plane | | | | | | 99.19 212 | | 98.98 298 | | 98.24 73 | 98.66 252 | | | | | | |
|
BP-MVS | | | | | | | | | | | | | | | 97.19 222 | | |
|
HQP4-MVS | | | | | | | | | | | 98.66 252 | | | 99.64 206 | | | 98.64 269 |
|
HQP2-MVS | | | | | | | | | | | | | 92.47 268 | | | | |
|
NP-MVS | | | | | | 99.23 205 | 96.92 273 | | | | | 99.40 231 | | | | | |
|
MDTV_nov1_ep13_2view | | | | | | | 95.18 316 | 99.35 210 | | 96.84 224 | 99.58 71 | | 95.19 165 | | 97.82 170 | | 99.46 147 |
|
Test By Simon | | | | | | | | | | | | | 98.75 45 | | | | |
|