TSAR-MVS + MP. | | | 99.58 3 | 99.50 7 | 99.81 29 | 99.91 1 | 99.66 37 | 99.63 79 | 99.39 181 | 98.91 29 | 99.78 23 | 99.85 26 | 99.36 2 | 99.94 42 | 98.84 66 | 99.88 35 | 99.82 32 |
|
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 |
|
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 |
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 |
|
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 |
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 | 95.90 138 | 99.73 169 | 99.53 6 | 99.02 135 | 99.86 5 |
|
HSP-MVS | | | 99.41 33 | 99.26 44 | 99.85 19 | 99.89 8 | 99.80 15 | 99.67 56 | 99.37 194 | 98.70 45 | 99.77 24 | 99.49 191 | 98.21 76 | 99.95 33 | 98.46 112 | 99.77 77 | 99.81 36 |
|
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 | 95.50 148 | 99.94 42 | 99.50 8 | 99.97 3 | 99.89 2 |
|
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 |
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 |
|
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 |
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
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 |
|
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 | 95.83 140 | 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 |
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 |
|
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 |
|
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 |
|
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 |
|
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 | 95.95 134 | 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 | 95.95 134 | 99.85 113 | 96.66 248 | 99.83 64 | 99.59 109 |
|
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 |
|
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 |
|
X-MVStestdata | | | 96.55 272 | 95.45 293 | 99.87 6 | 99.85 23 | 99.83 8 | 99.69 45 | 99.68 19 | 98.98 19 | 99.37 110 | 64.01 358 | 98.81 36 | 99.94 42 | 98.79 72 | 99.86 49 | 99.84 12 |
|
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 |
|
114514_t | | | 98.93 96 | 98.67 109 | 99.72 49 | 99.85 23 | 99.53 58 | 99.62 82 | 99.59 38 | 92.65 322 | 99.71 32 | 99.78 78 | 98.06 81 | 99.90 87 | 98.84 66 | 99.91 17 | 99.74 61 |
|
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 |
|
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 |
|
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. |
RPSCF | | | 98.22 150 | 98.62 117 | 96.99 304 | 99.82 29 | 91.58 332 | 99.72 39 | 99.44 159 | 96.61 227 | 99.66 49 | 99.89 10 | 95.92 137 | 99.82 135 | 97.46 195 | 99.10 129 | 99.57 112 |
|
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 | 95.82 141 | 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 |
test_part2 | | | | | | 99.81 32 | 99.83 8 | | | | 99.77 24 | | | | | | |
|
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 |
|
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 |
|
MCST-MVS | | | 99.43 28 | 99.30 34 | 99.82 26 | 99.79 35 | 99.74 27 | 99.29 213 | 99.40 178 | 98.79 40 | 99.52 81 | 99.62 147 | 98.91 29 | 99.90 87 | 98.64 88 | 99.75 80 | 99.82 32 |
|
tfpn1000 | | | 98.33 140 | 98.02 154 | 99.25 125 | 99.78 36 | 98.73 170 | 99.70 42 | 97.55 344 | 97.48 156 | 99.69 37 | 99.53 178 | 92.37 267 | 99.85 113 | 97.82 157 | 98.26 179 | 99.16 160 |
|
EI-MVSNet-UG-set | | | 99.58 3 | 99.57 1 | 99.64 64 | 99.78 36 | 99.14 100 | 99.60 90 | 99.45 151 | 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-Vis-set | | | 99.58 3 | 99.56 3 | 99.64 64 | 99.78 36 | 99.15 99 | 99.61 88 | 99.45 151 | 99.01 13 | 99.89 2 | 99.82 44 | 99.01 12 | 99.92 65 | 99.56 5 | 99.95 6 | 99.85 8 |
|
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 | 94.77 188 | 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 |
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 | 99.59 156 | 98.42 67 | 99.93 57 | 98.19 128 | 99.69 93 | 99.73 66 |
|
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 |
|
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 |
|
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 |
|
conf0.01 | | | 98.21 153 | 97.89 167 | 99.15 136 | 99.76 44 | 99.04 109 | 99.67 56 | 97.71 336 | 97.10 192 | 99.55 72 | 99.54 171 | 92.70 249 | 99.79 146 | 96.90 232 | 98.12 194 | 98.61 276 |
|
conf0.002 | | | 98.21 153 | 97.89 167 | 99.15 136 | 99.76 44 | 99.04 109 | 99.67 56 | 97.71 336 | 97.10 192 | 99.55 72 | 99.54 171 | 92.70 249 | 99.79 146 | 96.90 232 | 98.12 194 | 98.61 276 |
|
thresconf0.02 | | | 98.24 146 | 97.89 167 | 99.27 121 | 99.76 44 | 99.04 109 | 99.67 56 | 97.71 336 | 97.10 192 | 99.55 72 | 99.54 171 | 92.70 249 | 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 | 97.71 336 | 97.10 192 | 99.55 72 | 99.54 171 | 92.70 249 | 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 | 97.71 336 | 97.10 192 | 99.55 72 | 99.54 171 | 92.70 249 | 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 | 97.71 336 | 97.10 192 | 99.55 72 | 99.54 171 | 92.70 249 | 99.79 146 | 96.90 232 | 98.12 194 | 98.97 183 |
|
Regformer-3 | | | 99.57 6 | 99.53 5 | 99.68 52 | 99.76 44 | 99.29 84 | 99.58 99 | 99.44 159 | 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 |
|
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 |
|
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 | 99.37 228 | 97.53 92 | 99.88 102 | 98.98 51 | 97.29 237 | 98.42 297 |
|
PVSNet_Blended | | | 99.08 79 | 98.97 73 | 99.42 103 | 99.76 44 | 98.79 165 | 98.78 311 | 99.91 3 | 96.74 218 | 99.67 44 | 99.49 191 | 97.53 92 | 99.88 102 | 98.98 51 | 99.85 53 | 99.60 105 |
|
MSDG | | | 98.98 92 | 98.80 96 | 99.53 81 | 99.76 44 | 99.19 93 | 98.75 314 | 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 |
|
tfpn_ndepth | | | 98.17 157 | 97.84 175 | 99.15 136 | 99.75 56 | 98.76 169 | 99.61 88 | 97.39 346 | 96.92 210 | 99.61 59 | 99.38 224 | 92.19 269 | 99.86 107 | 97.57 182 | 98.13 192 | 98.82 200 |
|
view600 | | | 97.97 188 | 97.66 198 | 98.89 177 | 99.75 56 | 97.81 225 | 99.69 45 | 98.80 293 | 98.02 102 | 99.25 144 | 98.88 286 | 91.95 271 | 99.89 95 | 94.36 294 | 98.29 175 | 98.96 189 |
|
view800 | | | 97.97 188 | 97.66 198 | 98.89 177 | 99.75 56 | 97.81 225 | 99.69 45 | 98.80 293 | 98.02 102 | 99.25 144 | 98.88 286 | 91.95 271 | 99.89 95 | 94.36 294 | 98.29 175 | 98.96 189 |
|
conf0.05thres1000 | | | 97.97 188 | 97.66 198 | 98.89 177 | 99.75 56 | 97.81 225 | 99.69 45 | 98.80 293 | 98.02 102 | 99.25 144 | 98.88 286 | 91.95 271 | 99.89 95 | 94.36 294 | 98.29 175 | 98.96 189 |
|
tfpn | | | 97.97 188 | 97.66 198 | 98.89 177 | 99.75 56 | 97.81 225 | 99.69 45 | 98.80 293 | 98.02 102 | 99.25 144 | 98.88 286 | 91.95 271 | 99.89 95 | 94.36 294 | 98.29 175 | 98.96 189 |
|
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 | 99.53 178 | 98.64 55 | 99.96 19 | 98.44 114 | 99.80 71 | 99.79 46 |
|
新几何1 | | | | | 99.75 40 | 99.75 56 | 99.59 49 | | 99.54 62 | 96.76 217 | 99.29 128 | 99.64 138 | 98.43 64 | 99.94 42 | 96.92 230 | 99.66 98 | 99.72 72 |
|
test222 | | | | | | 99.75 56 | 99.49 64 | 98.91 302 | 99.49 105 | 96.42 244 | 99.34 120 | 99.65 131 | 98.28 74 | | | 99.69 93 | 99.72 72 |
|
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 |
|
CDPH-MVS | | | 99.13 64 | 98.91 81 | 99.80 31 | 99.75 56 | 99.71 29 | 99.15 248 | 99.41 171 | 96.60 229 | 99.60 61 | 99.55 168 | 98.83 34 | 99.90 87 | 97.48 192 | 99.83 64 | 99.78 50 |
|
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 |
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 |
|
1121 | | | 99.09 77 | 98.87 86 | 99.75 40 | 99.74 67 | 99.60 47 | 99.27 219 | 99.48 114 | 96.82 216 | 99.25 144 | 99.65 131 | 98.38 68 | 99.93 57 | 97.53 187 | 99.67 97 | 99.73 66 |
|
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 | 97.70 332 | 98.72 80 | 99.93 11 | 99.77 52 |
|
DP-MVS Recon | | | 99.12 69 | 98.95 77 | 99.65 59 | 99.74 67 | 99.70 31 | 99.27 219 | 99.57 44 | 96.40 247 | 99.42 99 | 99.68 120 | 98.75 47 | 99.80 143 | 97.98 145 | 99.72 86 | 99.44 141 |
|
PAPM_NR | | | 99.04 84 | 98.84 92 | 99.66 55 | 99.74 67 | 99.44 70 | 99.39 182 | 99.38 187 | 97.70 138 | 99.28 132 | 99.28 254 | 98.34 71 | 99.85 113 | 96.96 226 | 99.45 107 | 99.69 80 |
|
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 |
|
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 |
|
IS-MVSNet | | | 99.05 83 | 98.87 86 | 99.57 74 | 99.73 72 | 99.32 80 | 99.75 34 | 99.20 249 | 98.02 102 | 99.56 69 | 99.86 22 | 96.54 120 | 99.67 190 | 98.09 135 | 99.13 126 | 99.73 66 |
|
PVSNet | | 96.02 17 | 98.85 108 | 98.84 92 | 98.89 177 | 99.73 72 | 97.28 237 | 98.32 333 | 99.60 35 | 97.86 117 | 99.50 84 | 99.57 163 | 96.75 115 | 99.86 107 | 98.56 101 | 99.70 92 | 99.54 115 |
|
tfpn111 | | | 97.81 211 | 97.49 217 | 98.78 204 | 99.72 76 | 97.86 221 | 99.59 92 | 98.74 301 | 97.93 112 | 99.26 140 | 98.62 301 | 91.75 277 | 99.86 107 | 93.57 308 | 98.18 184 | 98.61 276 |
|
conf200view11 | | | 97.78 218 | 97.45 223 | 98.77 205 | 99.72 76 | 97.86 221 | 99.59 92 | 98.74 301 | 97.93 112 | 99.26 140 | 98.62 301 | 91.75 277 | 99.83 126 | 93.22 312 | 98.18 184 | 98.61 276 |
|
thres100view900 | | | 97.76 220 | 97.45 223 | 98.69 211 | 99.72 76 | 97.86 221 | 99.59 92 | 98.74 301 | 97.93 112 | 99.26 140 | 98.62 301 | 91.75 277 | 99.83 126 | 93.22 312 | 98.18 184 | 98.37 301 |
|
thres600view7 | | | 97.86 202 | 97.51 213 | 98.92 167 | 99.72 76 | 97.95 218 | 99.59 92 | 98.74 301 | 97.94 111 | 99.27 136 | 98.62 301 | 91.75 277 | 99.86 107 | 93.73 307 | 98.19 183 | 98.96 189 |
|
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 |
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 |
|
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 |
|
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 | 94.20 211 | 99.92 65 | 98.54 106 | 98.90 147 | 99.00 179 |
|
Vis-MVSNet (Re-imp) | | | 98.87 99 | 98.72 103 | 99.31 112 | 99.71 82 | 98.88 141 | 99.80 19 | 99.44 159 | 97.91 115 | 99.36 114 | 99.78 78 | 95.49 149 | 99.43 224 | 97.91 150 | 99.11 127 | 99.62 103 |
|
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 | 99.53 178 | 95.41 150 | 99.84 119 | 97.17 212 | 99.64 101 | 99.44 141 |
|
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 | 95.27 154 | 99.91 74 | 98.08 139 | 98.84 151 | 99.00 179 |
|
TAPA-MVS | | 97.07 15 | 97.74 226 | 97.34 244 | 98.94 159 | 99.70 87 | 97.53 234 | 99.25 229 | 99.51 85 | 91.90 326 | 99.30 124 | 99.63 142 | 98.78 39 | 99.64 196 | 88.09 333 | 99.87 39 | 99.65 91 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
tfpn200view9 | | | 97.72 229 | 97.38 237 | 98.72 209 | 99.69 89 | 97.96 216 | 99.50 134 | 98.73 310 | 97.83 122 | 99.17 167 | 98.45 310 | 91.67 283 | 99.83 126 | 93.22 312 | 98.18 184 | 98.37 301 |
|
thres400 | | | 97.77 219 | 97.38 237 | 98.92 167 | 99.69 89 | 97.96 216 | 99.50 134 | 98.73 310 | 97.83 122 | 99.17 167 | 98.45 310 | 91.67 283 | 99.83 126 | 93.22 312 | 98.18 184 | 98.96 189 |
|
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 | 99.23 260 | 96.77 114 | 99.89 95 | 98.83 68 | 98.78 155 | 99.86 5 |
|
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 | 99.58 159 | 96.93 109 | 99.90 87 | 98.87 61 | 98.78 155 | 99.84 12 |
|
TEST9 | | | | | | 99.67 93 | 99.65 40 | 99.05 269 | 99.41 171 | 96.22 260 | 98.95 203 | 99.49 191 | 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 | 99.41 171 | 96.28 253 | 98.95 203 | 99.49 191 | 98.76 44 | 99.91 74 | 97.63 177 | 99.72 86 | 99.75 56 |
|
test_8 | | | | | | 99.67 93 | 99.61 45 | 99.03 275 | 99.41 171 | 96.28 253 | 98.93 206 | 99.48 197 | 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 | 99.41 171 | 95.93 276 | 98.87 213 | 99.48 197 | 98.61 56 | 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 | 99.40 178 | 96.26 256 | 98.87 213 | 99.49 191 | 98.77 42 | 99.91 74 | 97.69 174 | 99.72 86 | 99.75 56 |
|
agg_prior | | | | | | 99.67 93 | 99.62 43 | | 99.40 178 | | 98.87 213 | | | 99.91 74 | | | |
|
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 | 99.52 183 | 98.68 52 | 99.83 126 | 97.96 146 | 99.74 82 | 99.74 61 |
|
test_prior | | | | | 99.68 52 | 99.67 93 | 99.48 65 | | 99.56 48 | | | | | 99.83 126 | | | 99.74 61 |
|
TSAR-MVS + GP. | | | 99.36 39 | 99.36 19 | 99.36 106 | 99.67 93 | 98.61 185 | 99.07 263 | 99.33 215 | 99.00 17 | 99.82 15 | 99.81 54 | 99.06 9 | 99.84 119 | 99.09 42 | 99.42 109 | 99.65 91 |
|
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 |
|
CHOSEN 280x420 | | | 99.12 69 | 99.13 53 | 99.08 142 | 99.66 103 | 97.89 219 | 98.43 329 | 99.71 13 | 98.88 30 | 99.62 57 | 99.76 88 | 96.63 118 | 99.70 185 | 99.46 14 | 99.99 1 | 99.66 88 |
|
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 | 99.48 197 | 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 |
EPP-MVSNet | | | 99.13 64 | 98.99 70 | 99.53 81 | 99.65 105 | 99.06 107 | 99.81 15 | 99.33 215 | 97.43 161 | 99.60 61 | 99.88 14 | 97.14 102 | 99.84 119 | 99.13 39 | 98.94 142 | 99.69 80 |
|
thres200 | | | 97.61 242 | 97.28 251 | 98.62 216 | 99.64 106 | 98.03 212 | 99.26 227 | 98.74 301 | 97.68 140 | 99.09 181 | 98.32 312 | 91.66 285 | 99.81 139 | 92.88 318 | 98.22 180 | 98.03 313 |
|
test12 | | | | | 99.75 40 | 99.64 106 | 99.61 45 | | 99.29 229 | | 99.21 158 | | 98.38 68 | 99.89 95 | | 99.74 82 | 99.74 61 |
|
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 | 94.20 211 | 99.93 57 | 99.17 36 | 98.82 152 | 99.49 129 |
|
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 | 99.47 201 | 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 | 99.47 201 | 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 | 99.47 201 | 98.18 77 | 99.99 1 | 99.50 8 | 99.31 116 | 99.08 169 |
|
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 |
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 |
|
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 |
|
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 | 96.84 110 | 99.94 42 | 98.85 65 | 98.49 168 | 99.72 72 |
|
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 |
|
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 |
|
PCF-MVS | | 97.08 14 | 97.66 239 | 97.06 259 | 99.47 93 | 99.61 117 | 99.09 104 | 98.04 340 | 99.25 244 | 91.24 329 | 98.51 253 | 99.70 109 | 94.55 199 | 99.91 74 | 92.76 319 | 99.85 53 | 99.42 144 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
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 |
|
DeepPCF-MVS | | 98.18 3 | 98.81 111 | 99.37 17 | 97.12 303 | 99.60 119 | 91.75 331 | 98.61 322 | 99.44 159 | 99.35 1 | 99.83 12 | 99.85 26 | 98.70 51 | 99.81 139 | 99.02 48 | 99.91 17 | 99.81 36 |
|
IterMVS-LS | | | 98.46 132 | 98.42 129 | 98.58 219 | 99.59 121 | 98.00 213 | 99.37 189 | 99.43 167 | 96.94 208 | 99.07 183 | 99.59 156 | 97.87 84 | 99.03 288 | 98.32 124 | 95.62 268 | 98.71 217 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
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 | 92.75 243 | 99.13 277 | 97.46 195 | 96.00 261 | 98.67 242 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
CNLPA | | | 99.14 63 | 98.99 70 | 99.59 70 | 99.58 122 | 99.41 73 | 99.16 245 | 99.44 159 | 98.45 59 | 99.19 164 | 99.49 191 | 98.08 80 | 99.89 95 | 97.73 168 | 99.75 80 | 99.48 131 |
|
semantic-postprocess | | | | | 98.06 267 | 99.57 124 | 96.36 279 | | 99.49 105 | 97.18 182 | 98.71 230 | 99.72 105 | 92.70 249 | 99.14 274 | 97.44 197 | 95.86 264 | 98.67 242 |
|
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 | 99.24 259 | 99.01 12 | 99.98 5 | 99.35 18 | 99.66 98 | 98.97 183 |
|
MG-MVS | | | 99.13 64 | 99.02 68 | 99.45 96 | 99.57 124 | 98.63 180 | 99.07 263 | 99.34 207 | 98.99 18 | 99.61 59 | 99.82 44 | 97.98 83 | 99.87 104 | 97.00 222 | 99.80 71 | 99.85 8 |
|
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 |
|
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 | 96.32 126 | 99.90 87 | 97.48 192 | 99.77 77 | 99.55 113 |
|
xiu_mvs_v2_base | | | 99.26 53 | 99.25 45 | 99.29 118 | 99.53 129 | 98.91 139 | 99.02 278 | 99.45 151 | 98.80 39 | 99.71 32 | 99.26 257 | 98.94 27 | 99.98 5 | 99.34 22 | 99.23 120 | 98.98 182 |
|
LFMVS | | | 97.90 199 | 97.35 241 | 99.54 77 | 99.52 130 | 99.01 119 | 99.39 182 | 98.24 325 | 97.10 192 | 99.65 52 | 99.79 73 | 84.79 336 | 99.91 74 | 99.28 27 | 98.38 172 | 99.69 80 |
|
VNet | | | 99.11 73 | 98.90 82 | 99.73 47 | 99.52 130 | 99.56 52 | 99.41 175 | 99.39 181 | 99.01 13 | 99.74 31 | 99.78 78 | 95.56 146 | 99.92 65 | 99.52 7 | 98.18 184 | 99.72 72 |
|
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 | 93.74 230 | 99.98 5 | 99.66 1 | 99.95 6 | 99.64 97 |
|
Fast-Effi-MVS+ | | | 98.70 121 | 98.43 128 | 99.51 87 | 99.51 132 | 99.28 85 | 99.52 125 | 99.47 130 | 96.11 270 | 99.01 192 | 99.34 242 | 96.20 130 | 99.84 119 | 97.88 152 | 98.82 152 | 99.39 147 |
|
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 |
|
lupinMVS | | | 99.13 64 | 99.01 69 | 99.46 95 | 99.51 132 | 98.94 134 | 99.05 269 | 99.16 253 | 97.86 117 | 99.80 17 | 99.56 165 | 97.39 95 | 99.86 107 | 98.94 54 | 99.85 53 | 99.58 111 |
|
GBi-Net | | | 97.68 235 | 97.48 218 | 98.29 247 | 99.51 132 | 97.26 239 | 99.43 164 | 99.48 114 | 96.49 234 | 99.07 183 | 99.32 248 | 90.26 297 | 98.98 294 | 97.10 216 | 96.65 246 | 98.62 267 |
|
test1 | | | 97.68 235 | 97.48 218 | 98.29 247 | 99.51 132 | 97.26 239 | 99.43 164 | 99.48 114 | 96.49 234 | 99.07 183 | 99.32 248 | 90.26 297 | 98.98 294 | 97.10 216 | 96.65 246 | 98.62 267 |
|
FMVSNet2 | | | 97.72 229 | 97.36 239 | 98.80 201 | 99.51 132 | 98.84 146 | 99.45 155 | 99.42 168 | 96.49 234 | 98.86 218 | 99.29 253 | 90.26 297 | 98.98 294 | 96.44 254 | 96.56 249 | 98.58 287 |
|
VDDNet | | | 97.55 244 | 97.02 260 | 99.16 134 | 99.49 139 | 98.12 211 | 99.38 187 | 99.30 224 | 95.35 284 | 99.68 38 | 99.90 7 | 82.62 342 | 99.93 57 | 99.31 25 | 98.13 192 | 99.42 144 |
|
MVS_Test | | | 99.10 76 | 98.97 73 | 99.48 90 | 99.49 139 | 99.14 100 | 99.67 56 | 99.34 207 | 97.31 171 | 99.58 65 | 99.76 88 | 97.65 91 | 99.82 135 | 98.87 61 | 99.07 132 | 99.46 138 |
|
BH-untuned | | | 98.42 135 | 98.36 131 | 98.59 218 | 99.49 139 | 96.70 268 | 99.27 219 | 99.13 257 | 97.24 178 | 98.80 222 | 99.38 224 | 95.75 143 | 99.74 161 | 97.07 219 | 99.16 124 | 99.33 152 |
|
diffmvs | | | 98.72 120 | 98.49 126 | 99.43 102 | 99.48 142 | 99.19 93 | 99.62 82 | 99.42 168 | 95.58 282 | 99.37 110 | 99.67 124 | 96.14 131 | 99.74 161 | 98.14 132 | 98.96 140 | 99.37 148 |
|
VDD-MVS | | | 97.73 227 | 97.35 241 | 98.88 184 | 99.47 143 | 97.12 244 | 99.34 202 | 98.85 289 | 98.19 76 | 99.67 44 | 99.85 26 | 82.98 340 | 99.92 65 | 99.49 12 | 98.32 174 | 99.60 105 |
|
Effi-MVS+ | | | 98.81 111 | 98.59 122 | 99.48 90 | 99.46 144 | 99.12 102 | 98.08 339 | 99.50 99 | 97.50 155 | 99.38 108 | 99.41 215 | 96.37 125 | 99.81 139 | 99.11 41 | 98.54 165 | 99.51 125 |
|
jason | | | 99.13 64 | 99.03 65 | 99.45 96 | 99.46 144 | 98.87 142 | 99.12 252 | 99.26 242 | 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. |
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 |
|
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 | 97.79 288 | 99.87 19 | 90.18 300 | 99.66 192 | 98.05 143 | 97.18 241 | 98.62 267 |
|
MIMVSNet | | | 97.73 227 | 97.45 223 | 98.57 220 | 99.45 148 | 97.50 235 | 99.02 278 | 98.98 273 | 96.11 270 | 99.41 101 | 99.14 266 | 90.28 296 | 98.74 307 | 95.74 266 | 98.93 143 | 99.47 135 |
|
alignmvs | | | 98.81 111 | 98.56 124 | 99.58 73 | 99.43 149 | 99.42 72 | 99.51 129 | 98.96 276 | 98.61 50 | 99.35 117 | 98.92 285 | 94.78 184 | 99.77 156 | 99.35 18 | 98.11 200 | 99.54 115 |
|
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 | 98.81 294 | 97.09 103 | 99.75 160 | 99.27 29 | 97.90 206 | 99.47 135 |
|
HY-MVS | | 97.30 7 | 98.85 108 | 98.64 113 | 99.47 93 | 99.42 150 | 99.08 105 | 99.62 82 | 99.36 195 | 97.39 166 | 99.28 132 | 99.68 120 | 96.44 123 | 99.92 65 | 98.37 118 | 98.22 180 | 99.40 146 |
|
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 |
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 | 99.61 151 | 96.46 121 | 99.95 33 | 99.59 2 | 99.98 2 | 99.65 91 |
|
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 | 99.34 242 | 96.96 108 | 99.79 146 | 97.95 148 | 99.45 107 | 99.02 178 |
|
BH-RMVSNet | | | 98.41 136 | 98.08 149 | 99.40 104 | 99.41 153 | 98.83 149 | 99.30 209 | 98.77 297 | 97.70 138 | 98.94 205 | 99.65 131 | 92.91 241 | 99.74 161 | 96.52 252 | 99.55 105 | 99.64 97 |
|
ACMM | | 97.58 5 | 98.37 139 | 98.34 133 | 98.48 229 | 99.41 153 | 97.10 245 | 99.56 112 | 99.45 151 | 98.53 54 | 99.04 189 | 99.85 26 | 93.00 237 | 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 |
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 | 98.15 273 | 99.91 5 | 90.87 293 | 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 |
PAPR | | | 98.63 128 | 98.34 133 | 99.51 87 | 99.40 158 | 99.03 116 | 98.80 309 | 99.36 195 | 96.33 249 | 99.00 199 | 99.12 270 | 98.46 62 | 99.84 119 | 95.23 278 | 99.37 115 | 99.66 88 |
|
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 | 99.39 223 | 98.76 44 | 99.78 154 | 96.98 224 | 99.78 75 | 98.07 309 |
|
FMVSNet3 | | | 98.03 178 | 97.76 189 | 98.84 196 | 99.39 160 | 98.98 123 | 99.40 181 | 99.38 187 | 96.67 223 | 99.07 183 | 99.28 254 | 92.93 238 | 98.98 294 | 97.10 216 | 96.65 246 | 98.56 289 |
|
GA-MVS | | | 97.85 203 | 97.47 220 | 99.00 151 | 99.38 161 | 97.99 214 | 98.57 324 | 99.15 254 | 97.04 202 | 98.90 210 | 99.30 251 | 89.83 302 | 99.38 226 | 96.70 245 | 98.33 173 | 99.62 103 |
|
mvs_anonymous | | | 99.03 86 | 98.99 70 | 99.16 134 | 99.38 161 | 98.52 192 | 99.51 129 | 99.38 187 | 97.79 127 | 99.38 108 | 99.81 54 | 97.30 99 | 99.45 215 | 99.35 18 | 98.99 137 | 99.51 125 |
|
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 | 91.95 271 | 99.72 173 | 97.91 150 | 97.49 226 | 98.62 267 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
MAR-MVS | | | 98.86 102 | 98.63 114 | 99.54 77 | 99.37 163 | 99.66 37 | 99.45 155 | 99.54 62 | 96.61 227 | 99.01 192 | 99.40 219 | 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 |
testgi | | | 97.65 240 | 97.50 215 | 98.13 265 | 99.36 165 | 96.45 276 | 99.42 171 | 99.48 114 | 97.76 130 | 97.87 284 | 99.45 208 | 91.09 290 | 98.81 306 | 94.53 289 | 98.52 166 | 99.13 163 |
|
EI-MVSNet | | | 98.67 124 | 98.67 109 | 98.68 212 | 99.35 166 | 97.97 215 | 99.50 134 | 99.38 187 | 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 | 94.48 202 | 99.45 215 | 98.75 75 | 98.56 164 | 99.85 8 |
|
BH-w/o | | | 98.00 184 | 97.89 167 | 98.32 244 | 99.35 166 | 96.20 284 | 99.01 282 | 98.90 285 | 96.42 244 | 98.38 260 | 99.00 278 | 95.26 156 | 99.72 173 | 96.06 260 | 98.61 158 | 99.03 176 |
|
MVSTER | | | 98.49 130 | 98.32 135 | 99.00 151 | 99.35 166 | 99.02 117 | 99.54 121 | 99.38 187 | 97.41 164 | 99.20 161 | 99.73 101 | 93.86 225 | 99.36 233 | 98.87 61 | 97.56 218 | 98.62 267 |
|
Effi-MVS+-dtu | | | 98.78 115 | 98.89 84 | 98.47 231 | 99.33 170 | 96.91 262 | 99.57 105 | 99.30 224 | 98.47 57 | 99.41 101 | 98.99 279 | 96.78 112 | 99.74 161 | 98.73 78 | 99.38 111 | 98.74 213 |
|
CANet_DTU | | | 98.97 94 | 98.87 86 | 99.25 125 | 99.33 170 | 98.42 201 | 99.08 262 | 99.30 224 | 99.16 5 | 99.43 96 | 99.75 93 | 95.27 154 | 99.97 11 | 98.56 101 | 99.95 6 | 99.36 149 |
|
mvs-test1 | | | 98.86 102 | 98.84 92 | 98.89 177 | 99.33 170 | 97.77 230 | 99.44 159 | 99.30 224 | 98.47 57 | 99.10 177 | 99.43 210 | 96.78 112 | 99.95 33 | 98.73 78 | 99.02 135 | 98.96 189 |
|
ADS-MVSNet2 | | | 98.02 180 | 98.07 151 | 97.87 280 | 99.33 170 | 95.19 303 | 99.23 232 | 99.08 261 | 96.24 258 | 99.10 177 | 99.67 124 | 94.11 216 | 98.93 303 | 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 | 99.15 254 | 96.24 258 | 99.10 177 | 99.67 124 | 94.11 216 | 99.71 179 | 96.81 239 | 99.05 133 | 99.48 131 |
|
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 | 92.58 258 | 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 | 92.58 258 | 99.72 173 | 98.09 135 | 97.51 221 | 98.68 231 |
|
FMVSNet1 | | | 96.84 269 | 96.36 270 | 98.29 247 | 99.32 177 | 97.26 239 | 99.43 164 | 99.48 114 | 95.11 286 | 98.55 252 | 99.32 248 | 83.95 339 | 98.98 294 | 95.81 265 | 96.26 256 | 98.62 267 |
|
PVSNet_0 | | 94.43 19 | 96.09 290 | 95.47 292 | 97.94 275 | 99.31 178 | 94.34 315 | 97.81 341 | 99.70 15 | 97.12 188 | 97.46 290 | 98.75 298 | 89.71 303 | 99.79 146 | 97.69 174 | 81.69 345 | 99.68 84 |
|
Patchmatch-test1 | | | 98.16 159 | 98.14 143 | 98.22 259 | 99.30 179 | 95.55 292 | 99.07 263 | 98.97 274 | 97.57 148 | 99.43 96 | 99.60 154 | 92.72 246 | 99.60 204 | 97.38 200 | 99.20 122 | 99.50 128 |
|
LCM-MVSNet-Re | | | 97.83 207 | 98.15 142 | 96.87 308 | 99.30 179 | 92.25 330 | 99.59 92 | 98.26 324 | 97.43 161 | 96.20 306 | 99.13 267 | 96.27 128 | 98.73 308 | 98.17 130 | 98.99 137 | 99.64 97 |
|
MVS-HIRNet | | | 95.75 293 | 95.16 297 | 97.51 297 | 99.30 179 | 93.69 322 | 98.88 304 | 95.78 349 | 85.09 341 | 98.78 224 | 92.65 345 | 91.29 289 | 99.37 229 | 94.85 284 | 99.85 53 | 99.46 138 |
|
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 | 99.61 151 | 92.71 247 | 99.69 188 | 97.78 161 | 97.63 211 | 98.67 242 |
|
plane_prior7 | | | | | | 99.29 182 | 97.03 253 | | | | | | | | | | |
|
ITE_SJBPF | | | | | 98.08 266 | 99.29 182 | 96.37 278 | | 98.92 280 | 98.34 66 | 98.83 220 | 99.75 93 | 91.09 290 | 99.62 202 | 95.82 264 | 97.40 232 | 98.25 306 |
|
DeepMVS_CX | | | | | 93.34 321 | 99.29 182 | 82.27 346 | | 99.22 247 | 85.15 340 | 96.33 305 | 99.05 275 | 90.97 292 | 99.73 169 | 93.57 308 | 97.77 209 | 98.01 314 |
|
CLD-MVS | | | 98.16 159 | 98.10 146 | 98.33 243 | 99.29 182 | 96.82 265 | 98.75 314 | 99.44 159 | 97.83 122 | 99.13 170 | 99.55 168 | 92.92 239 | 99.67 190 | 98.32 124 | 97.69 210 | 98.48 293 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
plane_prior6 | | | | | | 99.27 187 | 96.98 257 | | | | | | 92.71 247 | | | | |
|
PMMVS | | | 98.80 114 | 98.62 117 | 99.34 107 | 99.27 187 | 98.70 173 | 98.76 313 | 99.31 222 | 97.34 168 | 99.21 158 | 99.07 272 | 97.20 101 | 99.82 135 | 98.56 101 | 98.87 149 | 99.52 120 |
|
plane_prior1 | | | | | | 99.26 189 | | | | | | | | | | | |
|
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 | 93.23 234 | 99.63 201 | 98.88 57 | 96.32 255 | 98.76 209 |
|
tpmp4_e23 | | | 97.34 259 | 97.29 250 | 97.52 296 | 99.25 191 | 93.73 319 | 99.58 99 | 99.19 252 | 94.00 308 | 98.20 270 | 99.41 215 | 90.74 294 | 99.74 161 | 97.13 215 | 98.07 201 | 99.07 173 |
|
NP-MVS | | | | | | 99.23 192 | 96.92 261 | | | | | 99.40 219 | | | | | |
|
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 | 98.18 272 | 99.70 109 | 91.73 281 | 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 |
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 | 99.42 212 | 92.74 245 | 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 |
VPNet | | | 97.84 205 | 97.44 229 | 99.01 149 | 99.21 195 | 98.94 134 | 99.48 147 | 99.57 44 | 98.38 64 | 99.28 132 | 99.73 101 | 88.89 310 | 99.39 225 | 99.19 33 | 93.27 311 | 98.71 217 |
|
IB-MVS | | 95.67 18 | 96.22 286 | 95.44 294 | 98.57 220 | 99.21 195 | 96.70 268 | 98.65 321 | 97.74 335 | 96.71 220 | 97.27 293 | 98.54 308 | 86.03 330 | 99.92 65 | 98.47 111 | 86.30 341 | 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 |
tfpnnormal | | | 97.84 205 | 97.47 220 | 98.98 153 | 99.20 197 | 99.22 92 | 99.64 77 | 99.61 32 | 96.32 250 | 98.27 268 | 99.70 109 | 93.35 233 | 99.44 220 | 95.69 268 | 95.40 271 | 98.27 304 |
|
QAPM | | | 98.67 124 | 98.30 137 | 99.80 31 | 99.20 197 | 99.67 35 | 99.77 24 | 99.72 11 | 94.74 291 | 98.73 228 | 99.90 7 | 95.78 142 | 99.98 5 | 96.96 226 | 99.88 35 | 99.76 55 |
|
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 | | | | | | |
|
HQP-MVS | | | 98.02 180 | 97.90 163 | 98.37 241 | 99.19 199 | 96.83 263 | 98.98 288 | 99.39 181 | 98.24 72 | 98.66 239 | 99.40 219 | 92.47 262 | 99.64 196 | 97.19 209 | 97.58 216 | 98.64 258 |
|
Patchmatch-test | | | 97.93 194 | 97.65 203 | 98.77 205 | 99.18 202 | 97.07 249 | 99.03 275 | 99.14 256 | 96.16 265 | 98.74 227 | 99.57 163 | 94.56 198 | 99.72 173 | 93.36 311 | 99.11 127 | 99.52 120 |
|
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 | 96.75 115 | 99.37 229 | 99.08 43 | 96.38 253 | 98.78 204 |
|
CR-MVSNet | | | 98.17 157 | 97.93 162 | 98.87 188 | 99.18 202 | 98.49 195 | 99.22 236 | 99.33 215 | 96.96 206 | 99.56 69 | 99.38 224 | 94.33 207 | 99.00 292 | 94.83 285 | 98.58 161 | 99.14 161 |
|
RPMNet | | | 96.61 271 | 95.85 279 | 98.87 188 | 99.18 202 | 98.49 195 | 99.22 236 | 99.08 261 | 88.72 338 | 99.56 69 | 97.38 334 | 94.08 218 | 99.00 292 | 86.87 338 | 98.58 161 | 99.14 161 |
|
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 |
|
tpm cat1 | | | 97.39 258 | 97.36 239 | 97.50 298 | 99.17 207 | 93.73 319 | 99.43 164 | 99.31 222 | 91.27 328 | 98.71 230 | 99.08 271 | 94.31 209 | 99.77 156 | 96.41 256 | 98.50 167 | 99.00 179 |
|
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 | 95.68 145 | 99.97 11 | 98.86 64 | 99.86 49 | 99.81 36 |
|
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 | 99.37 228 | 92.53 260 | 99.65 194 | 99.35 18 | 94.46 294 | 98.72 215 |
|
tpmrst | | | 98.33 140 | 98.48 127 | 97.90 279 | 99.16 209 | 94.78 309 | 99.31 207 | 99.11 258 | 97.27 174 | 99.45 92 | 99.59 156 | 95.33 151 | 99.84 119 | 98.48 109 | 98.61 158 | 99.09 168 |
|
PatchmatchNet | | | 98.31 142 | 98.36 131 | 98.19 262 | 99.16 209 | 95.32 299 | 99.27 219 | 98.92 280 | 97.37 167 | 99.37 110 | 99.58 159 | 94.90 176 | 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. |
PatchFormer-LS_test | | | 98.01 183 | 98.05 152 | 97.87 280 | 99.15 212 | 94.76 310 | 99.42 171 | 98.93 278 | 97.12 188 | 98.84 219 | 98.59 306 | 93.74 230 | 99.80 143 | 98.55 104 | 98.17 190 | 99.06 174 |
|
tpm2 | | | 97.44 256 | 97.34 244 | 97.74 290 | 99.15 212 | 94.36 314 | 99.45 155 | 98.94 277 | 93.45 317 | 98.90 210 | 99.44 209 | 91.35 288 | 99.59 206 | 97.31 203 | 98.07 201 | 99.29 154 |
|
CostFormer | | | 97.72 229 | 97.73 193 | 97.71 291 | 99.15 212 | 94.02 317 | 99.54 121 | 99.02 270 | 94.67 292 | 99.04 189 | 99.35 239 | 92.35 268 | 99.77 156 | 98.50 108 | 97.94 205 | 99.34 151 |
|
TransMVSNet (Re) | | | 97.15 264 | 96.58 267 | 98.86 192 | 99.12 215 | 98.85 145 | 99.49 142 | 98.91 283 | 95.48 283 | 97.16 296 | 99.80 65 | 93.38 232 | 99.11 280 | 94.16 304 | 91.73 321 | 98.62 267 |
|
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 | 95.94 136 | 99.98 5 | 98.95 53 | 99.92 12 | 99.79 46 |
|
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 | 99.50 188 | 89.64 304 | 99.73 169 | 97.73 168 | 97.38 234 | 98.53 290 |
|
FMVSNet5 | | | 96.43 275 | 96.19 272 | 97.15 301 | 99.11 217 | 95.89 288 | 99.32 204 | 99.52 76 | 94.47 301 | 98.34 264 | 99.07 272 | 87.54 325 | 97.07 335 | 92.61 320 | 95.72 266 | 98.47 294 |
|
MDTV_nov1_ep13 | | | | 98.32 135 | | 99.11 217 | 94.44 313 | 99.27 219 | 98.74 301 | 97.51 154 | 99.40 105 | 99.62 147 | 94.78 184 | 99.76 159 | 97.59 179 | 98.81 154 | |
|
Patchmtry | | | 97.75 224 | 97.40 235 | 98.81 199 | 99.10 220 | 98.87 142 | 99.11 258 | 99.33 215 | 94.83 289 | 98.81 221 | 99.38 224 | 94.33 207 | 99.02 289 | 96.10 259 | 95.57 269 | 98.53 290 |
|
dp | | | 97.75 224 | 97.80 179 | 97.59 294 | 99.10 220 | 93.71 321 | 99.32 204 | 98.88 287 | 96.48 240 | 99.08 182 | 99.55 168 | 92.67 256 | 99.82 135 | 96.52 252 | 98.58 161 | 99.24 157 |
|
Baseline_NR-MVSNet | | | 97.76 220 | 97.45 223 | 98.68 212 | 99.09 222 | 98.29 203 | 99.41 175 | 98.85 289 | 95.65 281 | 98.63 247 | 99.67 124 | 94.82 181 | 99.10 282 | 98.07 141 | 92.89 315 | 98.64 258 |
|
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 | 96.80 111 | 99.22 267 | 99.07 44 | 96.38 253 | 98.79 203 |
|
USDC | | | 97.34 259 | 97.20 255 | 97.75 289 | 99.07 224 | 95.20 302 | 98.51 327 | 99.04 268 | 97.99 107 | 98.31 265 | 99.86 22 | 89.02 308 | 99.55 209 | 95.67 270 | 97.36 235 | 98.49 292 |
|
TinyColmap | | | 97.12 265 | 96.89 262 | 97.83 284 | 99.07 224 | 95.52 295 | 98.57 324 | 98.74 301 | 97.58 147 | 97.81 287 | 99.79 73 | 88.16 322 | 99.56 207 | 95.10 279 | 97.21 239 | 98.39 300 |
|
pm-mvs1 | | | 97.68 235 | 97.28 251 | 98.88 184 | 99.06 226 | 98.62 182 | 99.50 134 | 99.45 151 | 96.32 250 | 97.87 284 | 99.79 73 | 92.47 262 | 99.35 236 | 97.54 186 | 93.54 309 | 98.67 242 |
|
TR-MVS | | | 97.76 220 | 97.41 234 | 98.82 198 | 99.06 226 | 97.87 220 | 98.87 305 | 98.56 319 | 96.63 226 | 98.68 238 | 99.22 261 | 92.49 261 | 99.65 194 | 95.40 275 | 97.79 208 | 98.95 196 |
|
PAPM | | | 97.59 243 | 97.09 258 | 99.07 143 | 99.06 226 | 98.26 205 | 98.30 334 | 99.10 259 | 94.88 288 | 98.08 276 | 99.34 242 | 96.27 128 | 99.64 196 | 89.87 327 | 98.92 145 | 99.31 153 |
|
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 | 96.69 117 | 99.38 226 | 99.34 22 | 94.59 293 | 98.78 204 |
|
tpmvs | | | 97.98 185 | 98.02 154 | 97.84 283 | 99.04 230 | 94.73 311 | 99.31 207 | 99.20 249 | 96.10 274 | 98.76 226 | 99.42 212 | 94.94 171 | 99.81 139 | 96.97 225 | 98.45 169 | 98.97 183 |
|
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 | 94.56 297 | 98.08 276 | 99.88 14 | 94.73 191 | 99.98 5 | 97.47 194 | 99.76 79 | 99.06 174 |
|
DWT-MVSNet_test | | | 97.53 246 | 97.40 235 | 97.93 276 | 99.03 232 | 94.86 308 | 99.57 105 | 98.63 315 | 96.59 231 | 98.36 262 | 98.79 295 | 89.32 306 | 99.74 161 | 98.14 132 | 98.16 191 | 99.20 159 |
|
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 | 99.19 263 | 95.53 147 | 99.23 264 | 98.34 121 | 93.78 307 | 98.61 276 |
|
tpm | | | 97.67 238 | 97.55 209 | 98.03 268 | 99.02 233 | 95.01 306 | 99.43 164 | 98.54 320 | 96.44 242 | 99.12 172 | 99.34 242 | 91.83 276 | 99.60 204 | 97.75 166 | 96.46 251 | 99.48 131 |
|
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 | 99.13 267 | 96.30 127 | 99.38 226 | 98.36 120 | 93.34 310 | 98.66 253 |
|
v7 | | | 98.05 175 | 97.78 182 | 98.87 188 | 98.99 236 | 98.67 175 | 99.64 77 | 99.34 207 | 96.31 252 | 99.29 128 | 99.51 186 | 94.78 184 | 99.27 255 | 97.03 220 | 95.15 277 | 98.66 253 |
|
v10 | | | 97.85 203 | 97.52 211 | 98.86 192 | 98.99 236 | 98.67 175 | 99.75 34 | 99.41 171 | 95.70 280 | 98.98 201 | 99.41 215 | 94.75 190 | 99.23 264 | 96.01 262 | 94.63 292 | 98.67 242 |
|
PS-CasMVS | | | 97.93 194 | 97.59 208 | 98.95 158 | 98.99 236 | 99.06 107 | 99.68 54 | 99.52 76 | 97.13 186 | 98.31 265 | 99.68 120 | 92.44 266 | 99.05 285 | 98.51 107 | 94.08 302 | 98.75 210 |
|
PatchT | | | 97.03 268 | 96.44 269 | 98.79 202 | 98.99 236 | 98.34 202 | 99.16 245 | 99.07 264 | 92.13 323 | 99.52 81 | 97.31 336 | 94.54 200 | 98.98 294 | 88.54 331 | 98.73 157 | 99.03 176 |
|
v13 | | | 96.24 283 | 95.58 288 | 98.25 254 | 98.98 240 | 98.83 149 | 99.75 34 | 99.29 229 | 94.35 304 | 93.89 326 | 97.60 329 | 95.17 161 | 98.11 320 | 94.27 301 | 86.86 339 | 97.81 321 |
|
V42 | | | 98.06 169 | 97.79 180 | 98.86 192 | 98.98 240 | 98.84 146 | 99.69 45 | 99.34 207 | 96.53 233 | 99.30 124 | 99.37 228 | 94.67 194 | 99.32 243 | 97.57 182 | 94.66 290 | 98.42 297 |
|
LF4IMVS | | | 97.52 247 | 97.46 222 | 97.70 292 | 98.98 240 | 95.55 292 | 99.29 213 | 98.82 292 | 98.07 93 | 98.66 239 | 99.64 138 | 89.97 301 | 99.61 203 | 97.01 221 | 96.68 245 | 97.94 317 |
|
v1neww | | | 98.12 163 | 97.84 175 | 98.93 162 | 98.97 243 | 98.81 158 | 99.66 65 | 99.35 199 | 96.49 234 | 99.29 128 | 99.37 228 | 95.02 166 | 99.32 243 | 97.73 168 | 94.73 285 | 98.67 242 |
|
v7new | | | 98.12 163 | 97.84 175 | 98.93 162 | 98.97 243 | 98.81 158 | 99.66 65 | 99.35 199 | 96.49 234 | 99.29 128 | 99.37 228 | 95.02 166 | 99.32 243 | 97.73 168 | 94.73 285 | 98.67 242 |
|
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 | 93.79 226 | 99.06 284 | 98.63 89 | 94.10 301 | 98.74 213 |
|
v16 | | | 96.39 278 | 95.76 284 | 98.26 250 | 98.96 246 | 98.81 158 | 99.76 27 | 99.28 236 | 94.57 295 | 94.10 318 | 97.70 321 | 95.04 165 | 98.16 314 | 94.70 287 | 87.77 332 | 97.80 323 |
|
v12 | | | 96.24 283 | 95.58 288 | 98.23 257 | 98.96 246 | 98.81 158 | 99.76 27 | 99.29 229 | 94.42 303 | 93.85 327 | 97.60 329 | 95.12 162 | 98.09 321 | 94.32 298 | 86.85 340 | 97.80 323 |
|
pcd1.5k->3k | | | 40.85 331 | 43.49 333 | 32.93 345 | 98.95 248 | 0.00 363 | 0.00 354 | 99.53 72 | 0.00 358 | 0.00 359 | 0.27 360 | 95.32 152 | 0.00 361 | 0.00 358 | 97.30 236 | 98.80 202 |
|
v18 | | | 96.42 276 | 95.80 283 | 98.26 250 | 98.95 248 | 98.82 156 | 99.76 27 | 99.28 236 | 94.58 294 | 94.12 317 | 97.70 321 | 95.22 159 | 98.16 314 | 94.83 285 | 87.80 331 | 97.79 328 |
|
v8 | | | 97.95 193 | 97.63 205 | 98.93 162 | 98.95 248 | 98.81 158 | 99.80 19 | 99.41 171 | 96.03 275 | 99.10 177 | 99.42 212 | 94.92 174 | 99.30 249 | 96.94 228 | 94.08 302 | 98.66 253 |
|
v17 | | | 96.42 276 | 95.81 281 | 98.25 254 | 98.94 251 | 98.80 163 | 99.76 27 | 99.28 236 | 94.57 295 | 94.18 316 | 97.71 320 | 95.23 158 | 98.16 314 | 94.86 283 | 87.73 333 | 97.80 323 |
|
v15 | | | 96.28 280 | 95.62 286 | 98.25 254 | 98.94 251 | 98.83 149 | 99.76 27 | 99.29 229 | 94.52 299 | 94.02 321 | 97.61 328 | 95.02 166 | 98.13 318 | 94.53 289 | 86.92 336 | 97.80 323 |
|
v6 | | | 98.12 163 | 97.84 175 | 98.94 159 | 98.94 251 | 98.83 149 | 99.66 65 | 99.34 207 | 96.49 234 | 99.30 124 | 99.37 228 | 94.95 170 | 99.34 239 | 97.77 163 | 94.74 284 | 98.67 242 |
|
V14 | | | 96.26 281 | 95.60 287 | 98.26 250 | 98.94 251 | 98.83 149 | 99.76 27 | 99.29 229 | 94.49 300 | 93.96 323 | 97.66 324 | 94.99 169 | 98.13 318 | 94.41 292 | 86.90 337 | 97.80 323 |
|
V9 | | | 96.25 282 | 95.58 288 | 98.26 250 | 98.94 251 | 98.83 149 | 99.75 34 | 99.29 229 | 94.45 302 | 93.96 323 | 97.62 327 | 94.94 171 | 98.14 317 | 94.40 293 | 86.87 338 | 97.81 321 |
|
v11 | | | 96.23 285 | 95.57 291 | 98.21 260 | 98.93 256 | 98.83 149 | 99.72 39 | 99.29 229 | 94.29 305 | 94.05 320 | 97.64 326 | 94.88 178 | 98.04 322 | 92.89 317 | 88.43 329 | 97.77 329 |
|
TESTMET0.1,1 | | | 97.55 244 | 97.27 253 | 98.40 239 | 98.93 256 | 96.53 273 | 98.67 318 | 97.61 343 | 96.96 206 | 98.64 246 | 99.28 254 | 88.63 316 | 99.45 215 | 97.30 204 | 99.38 111 | 99.21 158 |
|
v1 | | | 98.05 175 | 97.76 189 | 98.93 162 | 98.92 258 | 98.80 163 | 99.57 105 | 99.35 199 | 96.39 248 | 99.28 132 | 99.36 235 | 94.86 179 | 99.32 243 | 97.38 200 | 94.72 287 | 98.68 231 |
|
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 | 99.46 205 | 96.43 124 | 99.22 267 | 98.57 98 | 92.87 316 | 98.69 226 |
|
v1141 | | | 98.05 175 | 97.76 189 | 98.91 171 | 98.91 260 | 98.78 167 | 99.57 105 | 99.35 199 | 96.41 246 | 99.23 154 | 99.36 235 | 94.93 173 | 99.27 255 | 97.38 200 | 94.72 287 | 98.68 231 |
|
divwei89l23v2f112 | | | 98.06 169 | 97.78 182 | 98.91 171 | 98.90 261 | 98.77 168 | 99.57 105 | 99.35 199 | 96.45 241 | 99.24 149 | 99.37 228 | 94.92 174 | 99.27 255 | 97.50 190 | 94.71 289 | 98.68 231 |
|
v2v482 | | | 98.06 169 | 97.77 186 | 98.92 167 | 98.90 261 | 98.82 156 | 99.57 105 | 99.36 195 | 96.65 224 | 99.19 164 | 99.35 239 | 94.20 211 | 99.25 261 | 97.72 172 | 94.97 281 | 98.69 226 |
|
LP | | | 97.04 267 | 96.80 263 | 97.77 288 | 98.90 261 | 95.23 301 | 98.97 291 | 99.06 266 | 94.02 307 | 98.09 275 | 99.41 215 | 93.88 223 | 98.82 305 | 90.46 325 | 98.42 171 | 99.26 156 |
|
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 | 97.99 281 | 99.56 165 | 97.72 90 | 99.83 126 | 97.74 167 | 99.27 119 | 98.84 199 |
|
OPM-MVS | | | 98.19 156 | 98.10 146 | 98.45 233 | 98.88 265 | 97.07 249 | 99.28 216 | 99.38 187 | 98.57 52 | 99.22 156 | 99.81 54 | 92.12 270 | 99.66 192 | 98.08 139 | 97.54 220 | 98.61 276 |
|
v1192 | | | 97.81 211 | 97.44 229 | 98.91 171 | 98.88 265 | 98.68 174 | 99.51 129 | 99.34 207 | 96.18 263 | 99.20 161 | 99.34 242 | 94.03 219 | 99.36 233 | 95.32 277 | 95.18 275 | 98.69 226 |
|
EPMVS | | | 97.82 210 | 97.65 203 | 98.35 242 | 98.88 265 | 95.98 286 | 99.49 142 | 94.71 352 | 97.57 148 | 99.26 140 | 99.48 197 | 92.46 265 | 99.71 179 | 97.87 153 | 99.08 131 | 99.35 150 |
|
v1144 | | | 97.98 185 | 97.69 196 | 98.85 195 | 98.87 268 | 98.66 177 | 99.54 121 | 99.35 199 | 96.27 255 | 99.23 154 | 99.35 239 | 94.67 194 | 99.23 264 | 96.73 243 | 95.16 276 | 98.68 231 |
|
DU-MVS | | | 98.08 168 | 97.79 180 | 98.96 156 | 98.87 268 | 98.98 123 | 99.41 175 | 99.45 151 | 97.87 116 | 98.71 230 | 99.50 188 | 94.82 181 | 99.22 267 | 98.57 98 | 92.87 316 | 98.68 231 |
|
NR-MVSNet | | | 97.97 188 | 97.61 206 | 99.02 148 | 98.87 268 | 99.26 88 | 99.47 151 | 99.42 168 | 97.63 143 | 97.08 297 | 99.50 188 | 95.07 164 | 99.13 277 | 97.86 154 | 93.59 308 | 98.68 231 |
|
WR-MVS | | | 98.06 169 | 97.73 193 | 99.06 144 | 98.86 271 | 99.25 89 | 99.19 242 | 99.35 199 | 97.30 172 | 98.66 239 | 99.43 210 | 93.94 221 | 99.21 271 | 98.58 96 | 94.28 297 | 98.71 217 |
|
v1240 | | | 97.69 233 | 97.32 247 | 98.79 202 | 98.85 272 | 98.43 199 | 99.48 147 | 99.36 195 | 96.11 270 | 99.27 136 | 99.36 235 | 93.76 228 | 99.24 263 | 94.46 291 | 95.23 274 | 98.70 221 |
|
test_0402 | | | 96.64 270 | 96.24 271 | 97.85 282 | 98.85 272 | 96.43 277 | 99.44 159 | 99.26 242 | 93.52 314 | 96.98 300 | 99.52 183 | 88.52 317 | 99.20 272 | 92.58 321 | 97.50 223 | 97.93 318 |
|
v144192 | | | 97.92 197 | 97.60 207 | 98.87 188 | 98.83 274 | 98.65 178 | 99.55 118 | 99.34 207 | 96.20 261 | 99.32 122 | 99.40 219 | 94.36 206 | 99.26 260 | 96.37 257 | 95.03 280 | 98.70 221 |
|
v1921920 | | | 97.80 214 | 97.45 223 | 98.84 196 | 98.80 275 | 98.53 189 | 99.52 125 | 99.34 207 | 96.15 267 | 99.24 149 | 99.47 201 | 93.98 220 | 99.29 251 | 95.40 275 | 95.13 278 | 98.69 226 |
|
v52 | | | 97.79 216 | 97.50 215 | 98.66 215 | 98.80 275 | 98.62 182 | 99.87 4 | 99.44 159 | 95.87 277 | 99.01 192 | 99.46 205 | 94.44 205 | 99.33 240 | 96.65 250 | 93.96 305 | 98.05 310 |
|
gg-mvs-nofinetune | | | 96.17 288 | 95.32 295 | 98.73 208 | 98.79 277 | 98.14 209 | 99.38 187 | 94.09 353 | 91.07 331 | 98.07 279 | 91.04 349 | 89.62 305 | 99.35 236 | 96.75 242 | 99.09 130 | 98.68 231 |
|
V4 | | | 97.80 214 | 97.51 213 | 98.67 214 | 98.79 277 | 98.63 180 | 99.87 4 | 99.44 159 | 95.87 277 | 99.01 192 | 99.46 205 | 94.52 201 | 99.33 240 | 96.64 251 | 93.97 304 | 98.05 310 |
|
test-LLR | | | 98.06 169 | 97.90 163 | 98.55 224 | 98.79 277 | 97.10 245 | 98.67 318 | 97.75 333 | 97.34 168 | 98.61 250 | 98.85 290 | 94.45 203 | 99.45 215 | 97.25 205 | 99.38 111 | 99.10 164 |
|
test-mter | | | 97.49 253 | 97.13 257 | 98.55 224 | 98.79 277 | 97.10 245 | 98.67 318 | 97.75 333 | 96.65 224 | 98.61 250 | 98.85 290 | 88.23 321 | 99.45 215 | 97.25 205 | 99.38 111 | 99.10 164 |
|
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 |
|
MVS | | | 97.28 261 | 96.55 268 | 99.48 90 | 98.78 281 | 98.95 131 | 99.27 219 | 99.39 181 | 83.53 342 | 98.08 276 | 99.54 171 | 96.97 107 | 99.87 104 | 94.23 302 | 99.16 124 | 99.63 101 |
|
TranMVSNet+NR-MVSNet | | | 97.93 194 | 97.66 198 | 98.76 207 | 98.78 281 | 98.62 182 | 99.65 75 | 99.49 105 | 97.76 130 | 98.49 255 | 99.60 154 | 94.23 210 | 98.97 301 | 98.00 144 | 92.90 314 | 98.70 221 |
|
PEN-MVS | | | 97.76 220 | 97.44 229 | 98.72 209 | 98.77 284 | 98.54 188 | 99.78 22 | 99.51 85 | 97.06 201 | 98.29 267 | 99.64 138 | 92.63 257 | 98.89 304 | 98.09 135 | 93.16 312 | 98.72 215 |
|
v7n | | | 97.87 201 | 97.52 211 | 98.92 167 | 98.76 285 | 98.58 186 | 99.84 9 | 99.46 139 | 96.20 261 | 98.91 208 | 99.70 109 | 94.89 177 | 99.44 220 | 96.03 261 | 93.89 306 | 98.75 210 |
|
v148 | | | 97.79 216 | 97.55 209 | 98.50 226 | 98.74 286 | 97.72 233 | 99.54 121 | 99.33 215 | 96.26 256 | 98.90 210 | 99.51 186 | 94.68 193 | 99.14 274 | 97.83 156 | 93.15 313 | 98.63 265 |
|
JIA-IIPM | | | 97.50 251 | 97.02 260 | 98.93 162 | 98.73 287 | 97.80 229 | 99.30 209 | 98.97 274 | 91.73 327 | 98.91 208 | 94.86 343 | 95.10 163 | 99.71 179 | 97.58 180 | 97.98 204 | 99.28 155 |
|
Gipuma | | | 90.99 315 | 90.15 316 | 93.51 320 | 98.73 287 | 90.12 334 | 93.98 350 | 99.45 151 | 79.32 345 | 92.28 333 | 94.91 342 | 69.61 346 | 97.98 325 | 87.42 334 | 95.67 267 | 92.45 347 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
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 | 95.25 157 | 98.01 324 | 97.41 199 | 95.30 273 | 98.78 204 |
|
K. test v3 | | | 97.10 266 | 96.79 264 | 98.01 271 | 98.72 289 | 96.33 280 | 99.87 4 | 97.05 347 | 97.59 145 | 96.16 307 | 99.80 65 | 88.71 312 | 99.04 286 | 96.69 246 | 96.55 250 | 98.65 256 |
|
OurMVSNet-221017-0 | | | 97.88 200 | 97.77 186 | 98.19 262 | 98.71 291 | 96.53 273 | 99.88 1 | 99.00 271 | 97.79 127 | 98.78 224 | 99.94 3 | 91.68 282 | 99.35 236 | 97.21 207 | 96.99 244 | 98.69 226 |
|
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 | 95.73 144 | 99.28 252 | 99.03 46 | 97.62 213 | 98.75 210 |
|
pmmvs6 | | | 96.53 273 | 96.09 274 | 97.82 285 | 98.69 293 | 95.47 296 | 99.37 189 | 99.47 130 | 93.46 316 | 97.41 291 | 99.78 78 | 87.06 328 | 99.33 240 | 96.92 230 | 92.70 318 | 98.65 256 |
|
v748 | | | 97.52 247 | 97.23 254 | 98.41 238 | 98.69 293 | 97.23 242 | 99.87 4 | 99.45 151 | 95.72 279 | 98.51 253 | 99.53 178 | 94.13 215 | 99.30 249 | 96.78 241 | 92.39 320 | 98.70 221 |
|
lessismore_v0 | | | | | 97.79 287 | 98.69 293 | 95.44 298 | | 94.75 351 | | 95.71 311 | 99.87 19 | 88.69 313 | 99.32 243 | 95.89 263 | 94.93 283 | 98.62 267 |
|
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 | 92.75 243 | 99.44 220 | 99.31 25 | 97.48 227 | 98.77 207 |
|
SixPastTwentyTwo | | | 97.50 251 | 97.33 246 | 98.03 268 | 98.65 297 | 96.23 283 | 99.77 24 | 98.68 313 | 97.14 185 | 97.90 283 | 99.93 4 | 90.45 295 | 99.18 273 | 97.00 222 | 96.43 252 | 98.67 242 |
|
UnsupCasMVSNet_eth | | | 96.44 274 | 96.12 273 | 97.40 300 | 98.65 297 | 95.65 289 | 99.36 195 | 99.51 85 | 97.13 186 | 96.04 310 | 98.99 279 | 88.40 319 | 98.17 313 | 96.71 244 | 90.27 324 | 98.40 299 |
|
DTE-MVSNet | | | 97.51 250 | 97.19 256 | 98.46 232 | 98.63 299 | 98.13 210 | 99.84 9 | 99.48 114 | 96.68 222 | 97.97 282 | 99.67 124 | 92.92 239 | 98.56 310 | 96.88 238 | 92.60 319 | 98.70 221 |
|
our_test_3 | | | 97.65 240 | 97.68 197 | 97.55 295 | 98.62 300 | 94.97 307 | 98.84 307 | 99.30 224 | 96.83 215 | 98.19 271 | 99.34 242 | 97.01 106 | 99.02 289 | 95.00 282 | 96.01 260 | 98.64 258 |
|
ppachtmachnet_test | | | 97.49 253 | 97.45 223 | 97.61 293 | 98.62 300 | 95.24 300 | 98.80 309 | 99.46 139 | 96.11 270 | 98.22 269 | 99.62 147 | 96.45 122 | 98.97 301 | 93.77 306 | 95.97 262 | 98.61 276 |
|
pmmvs4 | | | 98.13 161 | 97.90 163 | 98.81 199 | 98.61 302 | 98.87 142 | 98.99 284 | 99.21 248 | 96.44 242 | 99.06 187 | 99.58 159 | 95.90 138 | 99.11 280 | 97.18 211 | 96.11 258 | 98.46 296 |
|
jajsoiax | | | 98.43 134 | 98.28 138 | 98.88 184 | 98.60 303 | 98.43 199 | 99.82 13 | 99.53 72 | 98.19 76 | 98.63 247 | 99.80 65 | 93.22 235 | 99.44 220 | 99.22 31 | 97.50 223 | 98.77 207 |
|
cascas | | | 97.69 233 | 97.43 232 | 98.48 229 | 98.60 303 | 97.30 236 | 98.18 338 | 99.39 181 | 92.96 319 | 98.41 258 | 98.78 297 | 93.77 227 | 99.27 255 | 98.16 131 | 98.61 158 | 98.86 198 |
|
pmmvs5 | | | 97.52 247 | 97.30 249 | 98.16 264 | 98.57 305 | 96.73 267 | 99.27 219 | 98.90 285 | 96.14 268 | 98.37 261 | 99.53 178 | 91.54 287 | 99.14 274 | 97.51 189 | 95.87 263 | 98.63 265 |
|
GG-mvs-BLEND | | | | | 98.45 233 | 98.55 306 | 98.16 208 | 99.43 164 | 93.68 354 | | 97.23 294 | 98.46 309 | 89.30 307 | 99.22 267 | 95.43 274 | 98.22 180 | 97.98 315 |
|
gm-plane-assit | | | | | | 98.54 307 | 92.96 326 | | | 94.65 293 | | 99.15 265 | | 99.64 196 | 97.56 184 | | |
|
anonymousdsp | | | 98.44 133 | 98.28 138 | 98.94 159 | 98.50 308 | 98.96 130 | 99.77 24 | 99.50 99 | 97.07 199 | 98.87 213 | 99.77 85 | 94.76 189 | 99.28 252 | 98.66 86 | 97.60 214 | 98.57 288 |
|
N_pmnet | | | 94.95 302 | 95.83 280 | 92.31 326 | 98.47 309 | 79.33 349 | 99.12 252 | 92.81 358 | 93.87 310 | 97.68 289 | 99.13 267 | 93.87 224 | 99.01 291 | 91.38 323 | 96.19 257 | 98.59 284 |
|
MS-PatchMatch | | | 97.24 263 | 97.32 247 | 96.99 304 | 98.45 310 | 93.51 324 | 98.82 308 | 99.32 221 | 97.41 164 | 98.13 274 | 99.30 251 | 88.99 309 | 99.56 207 | 95.68 269 | 99.80 71 | 97.90 320 |
|
test0.0.03 1 | | | 97.71 232 | 97.42 233 | 98.56 222 | 98.41 311 | 97.82 224 | 98.78 311 | 98.63 315 | 97.34 168 | 98.05 280 | 98.98 282 | 94.45 203 | 98.98 294 | 95.04 281 | 97.15 242 | 98.89 197 |
|
testpf | | | 95.66 294 | 96.02 277 | 94.58 318 | 98.35 312 | 92.32 329 | 97.25 346 | 97.91 332 | 92.83 320 | 97.03 299 | 98.99 279 | 88.69 313 | 98.61 309 | 95.72 267 | 97.40 232 | 92.80 345 |
|
EPNet_dtu | | | 98.03 178 | 97.96 159 | 98.23 257 | 98.27 313 | 95.54 294 | 99.23 232 | 98.75 298 | 99.02 10 | 97.82 286 | 99.71 106 | 96.11 132 | 99.48 212 | 93.04 316 | 99.65 100 | 99.69 80 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
MDA-MVSNet-bldmvs | | | 94.96 301 | 93.98 306 | 97.92 277 | 98.24 314 | 97.27 238 | 99.15 248 | 99.33 215 | 93.80 311 | 80.09 348 | 99.03 277 | 88.31 320 | 97.86 328 | 93.49 310 | 94.36 296 | 98.62 267 |
|
MDA-MVSNet_test_wron | | | 95.45 296 | 94.60 301 | 98.01 271 | 98.16 315 | 97.21 243 | 99.11 258 | 99.24 245 | 93.49 315 | 80.73 347 | 98.98 282 | 93.02 236 | 98.18 312 | 94.22 303 | 94.45 295 | 98.64 258 |
|
new_pmnet | | | 96.38 279 | 96.03 275 | 97.41 299 | 98.13 316 | 95.16 305 | 99.05 269 | 99.20 249 | 93.94 309 | 97.39 292 | 98.79 295 | 91.61 286 | 99.04 286 | 90.43 326 | 95.77 265 | 98.05 310 |
|
YYNet1 | | | 95.36 298 | 94.51 303 | 97.92 277 | 97.89 317 | 97.10 245 | 99.10 260 | 99.23 246 | 93.26 318 | 80.77 346 | 99.04 276 | 92.81 242 | 98.02 323 | 94.30 299 | 94.18 300 | 98.64 258 |
|
DSMNet-mixed | | | 97.25 262 | 97.35 241 | 96.95 306 | 97.84 318 | 93.61 323 | 99.57 105 | 96.63 348 | 96.13 269 | 98.87 213 | 98.61 305 | 94.59 197 | 97.70 332 | 95.08 280 | 98.86 150 | 99.55 113 |
|
EG-PatchMatch MVS | | | 95.97 291 | 95.69 285 | 96.81 309 | 97.78 319 | 92.79 327 | 99.16 245 | 98.93 278 | 96.16 265 | 94.08 319 | 99.22 261 | 82.72 341 | 99.47 213 | 95.67 270 | 97.50 223 | 98.17 307 |
|
DI_MVS_plusplus_test | | | 97.45 255 | 96.79 264 | 99.44 99 | 97.76 320 | 99.04 109 | 99.21 239 | 98.61 317 | 97.74 133 | 94.01 322 | 98.83 292 | 87.38 327 | 99.83 126 | 98.63 89 | 98.90 147 | 99.44 141 |
|
test_normal | | | 97.44 256 | 96.77 266 | 99.44 99 | 97.75 321 | 99.00 121 | 99.10 260 | 98.64 314 | 97.71 136 | 93.93 325 | 98.82 293 | 87.39 326 | 99.83 126 | 98.61 93 | 98.97 139 | 99.49 129 |
|
MVP-Stereo | | | 97.81 211 | 97.75 192 | 97.99 273 | 97.53 322 | 96.60 272 | 98.96 293 | 98.85 289 | 97.22 180 | 97.23 294 | 99.36 235 | 95.28 153 | 99.46 214 | 95.51 272 | 99.78 75 | 97.92 319 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
test20.03 | | | 96.12 289 | 95.96 278 | 96.63 311 | 97.44 323 | 95.45 297 | 99.51 129 | 99.38 187 | 96.55 232 | 96.16 307 | 99.25 258 | 93.76 228 | 96.17 340 | 87.35 336 | 94.22 299 | 98.27 304 |
|
UnsupCasMVSNet_bld | | | 93.53 310 | 92.51 312 | 96.58 313 | 97.38 324 | 93.82 318 | 98.24 335 | 99.48 114 | 91.10 330 | 93.10 330 | 96.66 338 | 74.89 344 | 98.37 311 | 94.03 305 | 87.71 334 | 97.56 334 |
|
MIMVSNet1 | | | 95.51 295 | 95.04 298 | 96.92 307 | 97.38 324 | 95.60 290 | 99.52 125 | 99.50 99 | 93.65 312 | 96.97 301 | 99.17 264 | 85.28 334 | 96.56 339 | 88.36 332 | 95.55 270 | 98.60 283 |
|
OpenMVS_ROB | | 92.34 20 | 94.38 306 | 93.70 307 | 96.41 314 | 97.38 324 | 93.17 325 | 99.06 267 | 98.75 298 | 86.58 339 | 94.84 315 | 98.26 314 | 81.53 343 | 99.32 243 | 89.01 330 | 97.87 207 | 96.76 336 |
|
Anonymous20231206 | | | 96.22 286 | 96.03 275 | 96.79 310 | 97.31 327 | 94.14 316 | 99.63 79 | 99.08 261 | 96.17 264 | 97.04 298 | 99.06 274 | 93.94 221 | 97.76 331 | 86.96 337 | 95.06 279 | 98.47 294 |
|
CMPMVS | | 69.68 23 | 94.13 307 | 94.90 299 | 91.84 327 | 97.24 328 | 80.01 348 | 98.52 326 | 99.48 114 | 89.01 336 | 91.99 334 | 99.67 124 | 85.67 332 | 99.13 277 | 95.44 273 | 97.03 243 | 96.39 338 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
EPNet | | | 98.86 102 | 98.71 105 | 99.30 115 | 97.20 329 | 98.18 207 | 99.62 82 | 98.91 283 | 99.28 2 | 98.63 247 | 99.81 54 | 95.96 133 | 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 |
testus | | | 94.61 303 | 95.30 296 | 92.54 325 | 96.44 330 | 84.18 341 | 98.36 330 | 99.03 269 | 94.18 306 | 96.49 303 | 98.57 307 | 88.74 311 | 95.09 344 | 87.41 335 | 98.45 169 | 98.36 303 |
|
Test4 | | | 95.05 300 | 93.67 308 | 99.22 131 | 96.07 331 | 98.94 134 | 99.20 241 | 99.27 241 | 97.71 136 | 89.96 340 | 97.59 331 | 66.18 348 | 99.25 261 | 98.06 142 | 98.96 140 | 99.47 135 |
|
Patchmatch-RL test | | | 95.84 292 | 95.81 281 | 95.95 315 | 95.61 332 | 90.57 333 | 98.24 335 | 98.39 321 | 95.10 287 | 95.20 312 | 98.67 300 | 94.78 184 | 97.77 330 | 96.28 258 | 90.02 325 | 99.51 125 |
|
PM-MVS | | | 92.96 311 | 92.23 313 | 95.14 317 | 95.61 332 | 89.98 335 | 99.37 189 | 98.21 326 | 94.80 290 | 95.04 314 | 97.69 323 | 65.06 349 | 97.90 327 | 94.30 299 | 89.98 326 | 97.54 335 |
|
pmmvs-eth3d | | | 95.34 299 | 94.73 300 | 97.15 301 | 95.53 334 | 95.94 287 | 99.35 199 | 99.10 259 | 95.13 285 | 93.55 328 | 97.54 332 | 88.15 323 | 97.91 326 | 94.58 288 | 89.69 327 | 97.61 332 |
|
test2356 | | | 94.07 309 | 94.46 304 | 92.89 323 | 95.18 335 | 86.13 339 | 97.60 344 | 99.06 266 | 93.61 313 | 96.15 309 | 98.28 313 | 85.60 333 | 93.95 346 | 86.68 339 | 98.00 203 | 98.59 284 |
|
new-patchmatchnet | | | 94.48 304 | 94.08 305 | 95.67 316 | 95.08 336 | 92.41 328 | 99.18 243 | 99.28 236 | 94.55 298 | 93.49 329 | 97.37 335 | 87.86 324 | 97.01 336 | 91.57 322 | 88.36 330 | 97.61 332 |
|
pmmvs3 | | | 94.09 308 | 93.25 310 | 96.60 312 | 94.76 337 | 94.49 312 | 98.92 300 | 98.18 328 | 89.66 333 | 96.48 304 | 98.06 315 | 86.28 329 | 97.33 334 | 89.68 328 | 87.20 335 | 97.97 316 |
|
Anonymous20231211 | | | 90.69 316 | 89.39 317 | 94.58 318 | 94.25 338 | 88.18 336 | 99.29 213 | 99.07 264 | 82.45 344 | 92.95 331 | 97.65 325 | 63.96 351 | 97.79 329 | 89.27 329 | 85.63 342 | 97.77 329 |
|
testing_2 | | | 94.44 305 | 92.93 311 | 98.98 153 | 94.16 339 | 99.00 121 | 99.42 171 | 99.28 236 | 96.60 229 | 84.86 342 | 96.84 337 | 70.91 345 | 99.27 255 | 98.23 127 | 96.08 259 | 98.68 231 |
|
1111 | | | 92.30 313 | 92.21 314 | 92.55 324 | 93.30 340 | 86.27 337 | 99.15 248 | 98.74 301 | 91.94 324 | 90.85 337 | 97.82 318 | 84.18 337 | 95.21 342 | 79.65 345 | 94.27 298 | 96.19 339 |
|
.test1245 | | | 83.42 321 | 86.17 319 | 75.15 343 | 93.30 340 | 86.27 337 | 99.15 248 | 98.74 301 | 91.94 324 | 90.85 337 | 97.82 318 | 84.18 337 | 95.21 342 | 79.65 345 | 39.90 355 | 43.98 356 |
|
test1235678 | | | 92.91 312 | 93.30 309 | 91.71 329 | 93.14 342 | 83.01 343 | 98.75 314 | 98.58 318 | 92.80 321 | 92.45 332 | 97.91 317 | 88.51 318 | 93.54 347 | 82.26 343 | 95.35 272 | 98.59 284 |
|
ambc | | | | | 93.06 322 | 92.68 343 | 82.36 345 | 98.47 328 | 98.73 310 | | 95.09 313 | 97.41 333 | 55.55 353 | 99.10 282 | 96.42 255 | 91.32 322 | 97.71 331 |
|
test12356 | | | 91.74 314 | 92.19 315 | 90.37 332 | 91.22 344 | 82.41 344 | 98.61 322 | 98.28 323 | 90.66 332 | 91.82 335 | 97.92 316 | 84.90 335 | 92.61 348 | 81.64 344 | 94.66 290 | 96.09 340 |
|
EMVS | | | 80.02 325 | 79.22 326 | 82.43 341 | 91.19 345 | 76.40 352 | 97.55 345 | 92.49 360 | 66.36 353 | 83.01 345 | 91.27 347 | 64.63 350 | 85.79 356 | 65.82 354 | 60.65 350 | 85.08 353 |
|
E-PMN | | | 80.61 324 | 79.88 325 | 82.81 339 | 90.75 346 | 76.38 353 | 97.69 342 | 95.76 350 | 66.44 352 | 83.52 343 | 92.25 346 | 62.54 352 | 87.16 355 | 68.53 353 | 61.40 349 | 84.89 354 |
|
PMMVS2 | | | 86.87 318 | 85.37 321 | 91.35 331 | 90.21 347 | 83.80 342 | 98.89 303 | 97.45 345 | 83.13 343 | 91.67 336 | 95.03 341 | 48.49 355 | 94.70 345 | 85.86 340 | 77.62 346 | 95.54 341 |
|
TDRefinement | | | 95.42 297 | 94.57 302 | 97.97 274 | 89.83 348 | 96.11 285 | 99.48 147 | 98.75 298 | 96.74 218 | 96.68 302 | 99.88 14 | 88.65 315 | 99.71 179 | 98.37 118 | 82.74 344 | 98.09 308 |
|
no-one | | | 83.04 322 | 80.12 324 | 91.79 328 | 89.44 349 | 85.65 340 | 99.32 204 | 98.32 322 | 89.06 335 | 79.79 350 | 89.16 351 | 44.86 357 | 96.67 338 | 84.33 342 | 46.78 353 | 93.05 344 |
|
LCM-MVSNet | | | 86.80 319 | 85.22 322 | 91.53 330 | 87.81 350 | 80.96 347 | 98.23 337 | 98.99 272 | 71.05 348 | 90.13 339 | 96.51 339 | 48.45 356 | 96.88 337 | 90.51 324 | 85.30 343 | 96.76 336 |
|
testmv | | | 87.91 317 | 87.80 318 | 88.24 333 | 87.68 351 | 77.50 351 | 99.07 263 | 97.66 342 | 89.27 334 | 86.47 341 | 96.22 340 | 68.35 347 | 92.49 350 | 76.63 349 | 88.82 328 | 94.72 343 |
|
FPMVS | | | 84.93 320 | 85.65 320 | 82.75 340 | 86.77 352 | 63.39 358 | 98.35 332 | 98.92 280 | 74.11 347 | 83.39 344 | 98.98 282 | 50.85 354 | 92.40 351 | 84.54 341 | 94.97 281 | 92.46 346 |
|
PNet_i23d | | | 79.43 326 | 77.68 327 | 84.67 336 | 86.18 353 | 71.69 356 | 96.50 348 | 93.68 354 | 75.17 346 | 71.33 351 | 91.18 348 | 32.18 360 | 90.62 352 | 78.57 348 | 74.34 347 | 91.71 349 |
|
wuyk23d | | | 40.18 332 | 41.29 335 | 36.84 344 | 86.18 353 | 49.12 360 | 79.73 353 | 22.81 362 | 27.64 355 | 25.46 358 | 28.45 359 | 21.98 362 | 48.89 358 | 55.80 355 | 23.56 358 | 12.51 358 |
|
MVE | | 76.82 21 | 76.91 328 | 74.31 330 | 84.70 335 | 85.38 355 | 76.05 354 | 96.88 347 | 93.17 356 | 67.39 351 | 71.28 352 | 89.01 352 | 21.66 365 | 87.69 354 | 71.74 352 | 72.29 348 | 90.35 350 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
wuykxyi23d | | | 74.42 330 | 71.19 331 | 84.14 338 | 76.16 356 | 74.29 355 | 96.00 349 | 92.57 359 | 69.57 349 | 63.84 354 | 87.49 353 | 21.98 362 | 88.86 353 | 75.56 351 | 57.50 351 | 89.26 352 |
|
ANet_high | | | 77.30 327 | 74.86 329 | 84.62 337 | 75.88 357 | 77.61 350 | 97.63 343 | 93.15 357 | 88.81 337 | 64.27 353 | 89.29 350 | 36.51 358 | 83.93 357 | 75.89 350 | 52.31 352 | 92.33 348 |
|
PMVS | | 70.75 22 | 75.98 329 | 74.97 328 | 79.01 342 | 70.98 358 | 55.18 359 | 93.37 351 | 98.21 326 | 65.08 354 | 61.78 355 | 93.83 344 | 21.74 364 | 92.53 349 | 78.59 347 | 91.12 323 | 89.34 351 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
tmp_tt | | | 82.80 323 | 81.52 323 | 86.66 334 | 66.61 359 | 68.44 357 | 92.79 352 | 97.92 330 | 68.96 350 | 80.04 349 | 99.85 26 | 85.77 331 | 96.15 341 | 97.86 154 | 43.89 354 | 95.39 342 |
|
test123 | | | 39.01 334 | 42.50 334 | 28.53 346 | 39.17 360 | 20.91 361 | 98.75 314 | 19.17 363 | 19.83 357 | 38.57 356 | 66.67 355 | 33.16 359 | 15.42 359 | 37.50 357 | 29.66 357 | 49.26 355 |
|
testmvs | | | 39.17 333 | 43.78 332 | 25.37 347 | 36.04 361 | 16.84 362 | 98.36 330 | 26.56 361 | 20.06 356 | 38.51 357 | 67.32 354 | 29.64 361 | 15.30 360 | 37.59 356 | 39.90 355 | 43.98 356 |
|
cdsmvs_eth3d_5k | | | 24.64 335 | 32.85 336 | 0.00 348 | 0.00 362 | 0.00 363 | 0.00 354 | 99.51 85 | 0.00 358 | 0.00 359 | 99.56 165 | 96.58 119 | 0.00 361 | 0.00 358 | 0.00 359 | 0.00 359 |
|
pcd_1.5k_mvsjas | | | 8.27 337 | 11.03 338 | 0.00 348 | 0.00 362 | 0.00 363 | 0.00 354 | 0.00 364 | 0.00 358 | 0.00 359 | 0.27 360 | 99.01 12 | 0.00 361 | 0.00 358 | 0.00 359 | 0.00 359 |
|
sosnet-low-res | | | 0.02 338 | 0.03 339 | 0.00 348 | 0.00 362 | 0.00 363 | 0.00 354 | 0.00 364 | 0.00 358 | 0.00 359 | 0.27 360 | 0.00 366 | 0.00 361 | 0.00 358 | 0.00 359 | 0.00 359 |
|
sosnet | | | 0.02 338 | 0.03 339 | 0.00 348 | 0.00 362 | 0.00 363 | 0.00 354 | 0.00 364 | 0.00 358 | 0.00 359 | 0.27 360 | 0.00 366 | 0.00 361 | 0.00 358 | 0.00 359 | 0.00 359 |
|
uncertanet | | | 0.02 338 | 0.03 339 | 0.00 348 | 0.00 362 | 0.00 363 | 0.00 354 | 0.00 364 | 0.00 358 | 0.00 359 | 0.27 360 | 0.00 366 | 0.00 361 | 0.00 358 | 0.00 359 | 0.00 359 |
|
Regformer | | | 0.02 338 | 0.03 339 | 0.00 348 | 0.00 362 | 0.00 363 | 0.00 354 | 0.00 364 | 0.00 358 | 0.00 359 | 0.27 360 | 0.00 366 | 0.00 361 | 0.00 358 | 0.00 359 | 0.00 359 |
|
ab-mvs-re | | | 8.30 336 | 11.06 337 | 0.00 348 | 0.00 362 | 0.00 363 | 0.00 354 | 0.00 364 | 0.00 358 | 0.00 359 | 99.58 159 | 0.00 366 | 0.00 361 | 0.00 358 | 0.00 359 | 0.00 359 |
|
uanet | | | 0.02 338 | 0.03 339 | 0.00 348 | 0.00 362 | 0.00 363 | 0.00 354 | 0.00 364 | 0.00 358 | 0.00 359 | 0.27 360 | 0.00 366 | 0.00 361 | 0.00 358 | 0.00 359 | 0.00 359 |
|
GSMVS | | | | | | | | | | | | | | | | | 99.52 120 |
|
test_part3 | | | | | | | | 99.37 189 | | 97.97 108 | | 99.78 78 | | 99.95 33 | 97.15 213 | | |
|
test_part1 | | | | | | | | | 99.48 114 | | | | 98.96 21 | | | 99.84 58 | 99.83 23 |
|
sam_mvs1 | | | | | | | | | | | | | 94.86 179 | | | | 99.52 120 |
|
sam_mvs | | | | | | | | | | | | | 94.72 192 | | | | |
|
MTGPA | | | | | | | | | 99.47 130 | | | | | | | | |
|
test_post1 | | | | | | | | 99.23 232 | | | | 65.14 357 | 94.18 214 | 99.71 179 | 97.58 180 | | |
|
test_post | | | | | | | | | | | | 65.99 356 | 94.65 196 | 99.73 169 | | | |
|
patchmatchnet-post | | | | | | | | | | | | 98.70 299 | 94.79 183 | 99.74 161 | | | |
|
MTMP | | | | | | | | | 98.88 287 | | | | | | | | |
|
test9_res | | | | | | | | | | | | | | | 97.49 191 | 99.72 86 | 99.75 56 |
|
agg_prior2 | | | | | | | | | | | | | | | 97.21 207 | 99.73 85 | 99.75 56 |
|
test_prior4 | | | | | | | 99.56 52 | 98.99 284 | | | | | | | | | |
|
test_prior2 | | | | | | | | 98.96 293 | | 98.34 66 | 99.01 192 | 99.52 183 | 98.68 52 | | 97.96 146 | 99.74 82 | |
|
旧先验2 | | | | | | | | 98.96 293 | | 96.70 221 | 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 | | | | | | | |
|
plane_prior5 | | | | | | | | | 99.47 130 | | | | | 99.69 188 | 97.78 161 | 97.63 211 | 98.67 242 |
|
plane_prior4 | | | | | | | | | | | | 99.61 151 | | | | | |
|
plane_prior3 | | | | | | | 97.00 255 | | | 98.69 46 | 99.11 174 | | | | | | |
|
plane_prior2 | | | | | | | | 99.39 182 | | 98.97 22 | | | | | | | |
|
plane_prior | | | | | | | 96.97 258 | 99.21 239 | | 98.45 59 | | | | | | 97.60 214 | |
|
n2 | | | | | | | | | 0.00 364 | | | | | | | | |
|
nn | | | | | | | | | 0.00 364 | | | | | | | | |
|
door-mid | | | | | | | | | 98.05 329 | | | | | | | | |
|
test11 | | | | | | | | | 99.35 199 | | | | | | | | |
|
door | | | | | | | | | 97.92 330 | | | | | | | | |
|
HQP5-MVS | | | | | | | 96.83 263 | | | | | | | | | | |
|
BP-MVS | | | | | | | | | | | | | | | 97.19 209 | | |
|
HQP4-MVS | | | | | | | | | | | 98.66 239 | | | 99.64 196 | | | 98.64 258 |
|
HQP3-MVS | | | | | | | | | 99.39 181 | | | | | | | 97.58 216 | |
|
HQP2-MVS | | | | | | | | | | | | | 92.47 262 | | | | |
|
MDTV_nov1_ep13_2view | | | | | | | 95.18 304 | 99.35 199 | | 96.84 214 | 99.58 65 | | 95.19 160 | | 97.82 157 | | 99.46 138 |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 97.19 240 | |
|
ACMMP++ | | | | | | | | | | | | | | | | 97.43 231 | |
|
Test By Simon | | | | | | | | | | | | | 98.75 47 | | | | |
|