tmp_tt | | | 95.75 337 | 95.42 334 | 96.76 339 | 89.90 371 | 94.42 346 | 98.86 229 | 97.87 334 | 78.01 364 | 99.30 227 | 99.69 126 | 97.70 212 | 95.89 367 | 99.29 78 | 98.14 348 | 99.95 1 |
|
PS-MVSNAJss | | | 99.84 9 | 99.82 9 | 99.89 6 | 99.96 4 | 99.77 36 | 99.68 41 | 99.85 28 | 99.95 3 | 99.98 3 | 99.92 16 | 99.28 38 | 99.98 7 | 99.75 31 | 100.00 1 | 99.94 2 |
|
pcd1.5k->3k | | | 49.97 343 | 55.52 344 | 33.31 356 | 99.95 12 | 0.00 374 | 0.00 365 | 99.81 55 | 0.00 369 | 0.00 371 | 100.00 1 | 99.96 1 | 0.00 371 | 0.00 368 | 100.00 1 | 99.92 3 |
|
mvs_tets | | | 99.90 2 | 99.90 2 | 99.90 4 | 99.96 4 | 99.79 32 | 99.72 25 | 99.88 17 | 99.92 5 | 99.98 3 | 99.93 13 | 99.94 2 | 99.98 7 | 99.77 30 | 100.00 1 | 99.92 3 |
|
UA-Net | | | 99.78 14 | 99.76 17 | 99.86 17 | 99.72 131 | 99.71 53 | 99.91 3 | 99.95 5 | 99.96 2 | 99.71 109 | 99.91 19 | 99.15 52 | 99.97 16 | 99.50 49 | 100.00 1 | 99.90 5 |
|
jajsoiax | | | 99.89 3 | 99.89 3 | 99.89 6 | 99.96 4 | 99.78 34 | 99.70 29 | 99.86 21 | 99.89 10 | 99.98 3 | 99.90 22 | 99.94 2 | 99.98 7 | 99.75 31 | 100.00 1 | 99.90 5 |
|
EU-MVSNet | | | 99.39 95 | 99.62 37 | 98.72 284 | 99.88 27 | 96.44 317 | 99.56 71 | 99.85 28 | 99.90 6 | 99.90 34 | 99.85 45 | 98.09 184 | 99.83 235 | 99.58 42 | 99.95 66 | 99.90 5 |
|
test_djsdf | | | 99.84 9 | 99.81 10 | 99.91 2 | 99.94 14 | 99.84 17 | 99.77 13 | 99.80 59 | 99.73 43 | 99.97 6 | 99.92 16 | 99.77 9 | 99.98 7 | 99.43 54 | 100.00 1 | 99.90 5 |
|
wuykxyi23d | | | 99.65 40 | 99.64 35 | 99.69 80 | 99.92 18 | 99.20 190 | 98.89 224 | 99.99 2 | 98.73 206 | 99.95 16 | 99.80 63 | 99.84 4 | 99.99 4 | 99.64 37 | 99.98 36 | 99.89 9 |
|
CVMVSNet | | | 98.61 229 | 98.88 192 | 97.80 321 | 99.58 179 | 93.60 349 | 99.26 139 | 99.64 140 | 99.66 64 | 99.72 105 | 99.67 146 | 93.26 294 | 99.93 66 | 99.30 74 | 99.81 162 | 99.87 10 |
|
LCM-MVSNet | | | 99.95 1 | 99.95 1 | 99.95 1 | 99.99 1 | 99.99 1 | 99.95 2 | 99.97 3 | 99.99 1 | 100.00 1 | 99.98 8 | 99.78 8 | 100.00 1 | 99.92 3 | 100.00 1 | 99.87 10 |
|
FC-MVSNet-test | | | 99.70 27 | 99.65 33 | 99.86 17 | 99.88 27 | 99.86 11 | 99.72 25 | 99.78 69 | 99.90 6 | 99.82 65 | 99.83 51 | 98.45 156 | 99.87 163 | 99.51 48 | 99.97 46 | 99.86 12 |
|
PS-CasMVS | | | 99.66 35 | 99.58 44 | 99.89 6 | 99.80 68 | 99.85 12 | 99.66 49 | 99.73 92 | 99.62 73 | 99.84 60 | 99.71 113 | 98.62 130 | 99.96 33 | 99.30 74 | 99.96 58 | 99.86 12 |
|
anonymousdsp | | | 99.80 12 | 99.77 13 | 99.90 4 | 99.96 4 | 99.88 7 | 99.73 21 | 99.85 28 | 99.70 50 | 99.92 30 | 99.93 13 | 99.45 22 | 99.97 16 | 99.36 64 | 100.00 1 | 99.85 14 |
|
CP-MVSNet | | | 99.54 59 | 99.43 78 | 99.87 15 | 99.76 102 | 99.82 26 | 99.57 69 | 99.61 150 | 99.54 88 | 99.80 74 | 99.64 158 | 97.79 208 | 99.95 41 | 99.21 83 | 99.94 79 | 99.84 15 |
|
Test_1112_low_res | | | 98.95 197 | 98.73 207 | 99.63 110 | 99.68 150 | 99.15 196 | 98.09 305 | 99.80 59 | 97.14 303 | 99.46 183 | 99.40 239 | 96.11 270 | 99.89 128 | 99.01 111 | 99.84 135 | 99.84 15 |
|
ANet_high | | | 99.88 4 | 99.87 4 | 99.91 2 | 99.99 1 | 99.91 2 | 99.65 54 | 100.00 1 | 99.90 6 | 100.00 1 | 99.97 9 | 99.61 17 | 99.97 16 | 99.75 31 | 100.00 1 | 99.84 15 |
|
nrg030 | | | 99.70 27 | 99.66 32 | 99.82 24 | 99.76 102 | 99.84 17 | 99.61 61 | 99.70 108 | 99.93 4 | 99.78 82 | 99.68 139 | 99.10 58 | 99.78 278 | 99.45 52 | 99.96 58 | 99.83 18 |
|
FIs | | | 99.65 40 | 99.58 44 | 99.84 20 | 99.84 41 | 99.85 12 | 99.66 49 | 99.75 84 | 99.86 15 | 99.74 101 | 99.79 70 | 98.27 169 | 99.85 202 | 99.37 63 | 99.93 87 | 99.83 18 |
|
v7n | | | 99.82 11 | 99.80 11 | 99.88 11 | 99.96 4 | 99.84 17 | 99.82 9 | 99.82 47 | 99.84 22 | 99.94 20 | 99.91 19 | 99.13 56 | 99.96 33 | 99.83 20 | 99.99 20 | 99.83 18 |
|
PEN-MVS | | | 99.66 35 | 99.59 42 | 99.89 6 | 99.83 45 | 99.87 8 | 99.66 49 | 99.73 92 | 99.70 50 | 99.84 60 | 99.73 100 | 98.56 136 | 99.96 33 | 99.29 78 | 99.94 79 | 99.83 18 |
|
WR-MVS_H | | | 99.61 44 | 99.53 61 | 99.87 15 | 99.80 68 | 99.83 21 | 99.67 46 | 99.75 84 | 99.58 86 | 99.85 57 | 99.69 126 | 98.18 180 | 99.94 54 | 99.28 80 | 99.95 66 | 99.83 18 |
|
v52 | | | 99.85 7 | 99.84 7 | 99.89 6 | 99.96 4 | 99.89 5 | 99.87 4 | 99.81 55 | 99.85 18 | 99.96 8 | 99.90 22 | 99.27 41 | 99.95 41 | 99.93 1 | 99.99 20 | 99.82 23 |
|
V4 | | | 99.85 7 | 99.84 7 | 99.88 11 | 99.96 4 | 99.89 5 | 99.87 4 | 99.81 55 | 99.85 18 | 99.96 8 | 99.90 22 | 99.27 41 | 99.95 41 | 99.93 1 | 100.00 1 | 99.82 23 |
|
Anonymous20231211 | | | 99.62 42 | 99.57 47 | 99.76 42 | 99.61 171 | 99.60 89 | 99.81 11 | 99.73 92 | 99.82 26 | 99.90 34 | 99.90 22 | 97.97 195 | 99.86 184 | 99.42 58 | 99.96 58 | 99.80 25 |
|
APDe-MVS | | | 99.48 70 | 99.36 91 | 99.85 19 | 99.55 202 | 99.81 27 | 99.50 76 | 99.69 114 | 98.99 171 | 99.75 93 | 99.71 113 | 98.79 97 | 99.93 66 | 98.46 155 | 99.85 131 | 99.80 25 |
|
DTE-MVSNet | | | 99.68 32 | 99.61 40 | 99.88 11 | 99.80 68 | 99.87 8 | 99.67 46 | 99.71 105 | 99.72 46 | 99.84 60 | 99.78 79 | 98.67 120 | 99.97 16 | 99.30 74 | 99.95 66 | 99.80 25 |
|
XXY-MVS | | | 99.71 26 | 99.67 31 | 99.81 27 | 99.89 26 | 99.72 52 | 99.59 66 | 99.82 47 | 99.39 116 | 99.82 65 | 99.84 50 | 99.38 27 | 99.91 95 | 99.38 61 | 99.93 87 | 99.80 25 |
|
1112_ss | | | 99.05 176 | 98.84 197 | 99.67 86 | 99.66 156 | 99.29 165 | 98.52 266 | 99.82 47 | 97.65 282 | 99.43 188 | 99.16 287 | 96.42 263 | 99.91 95 | 99.07 107 | 99.84 135 | 99.80 25 |
|
LTVRE_ROB | | 99.19 1 | 99.88 4 | 99.87 4 | 99.88 11 | 99.91 20 | 99.90 3 | 99.96 1 | 99.92 6 | 99.90 6 | 99.97 6 | 99.87 37 | 99.81 7 | 99.95 41 | 99.54 45 | 99.99 20 | 99.80 25 |
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 |
PMMVS2 | | | 99.48 70 | 99.45 73 | 99.57 140 | 99.76 102 | 98.99 211 | 98.09 305 | 99.90 13 | 98.95 176 | 99.78 82 | 99.58 193 | 99.57 20 | 99.93 66 | 99.48 50 | 99.95 66 | 99.79 31 |
|
v13 | | | 99.76 16 | 99.77 13 | 99.73 63 | 99.86 34 | 99.55 99 | 99.77 13 | 99.86 21 | 99.79 33 | 99.96 8 | 99.91 19 | 98.90 83 | 99.87 163 | 99.91 5 | 100.00 1 | 99.78 32 |
|
CHOSEN 1792x2688 | | | 99.39 95 | 99.30 104 | 99.65 98 | 99.88 27 | 99.25 177 | 98.78 244 | 99.88 17 | 98.66 210 | 99.96 8 | 99.79 70 | 97.45 228 | 99.93 66 | 99.34 66 | 99.99 20 | 99.78 32 |
|
v12 | | | 99.75 18 | 99.77 13 | 99.72 69 | 99.85 38 | 99.53 102 | 99.75 17 | 99.86 21 | 99.78 34 | 99.96 8 | 99.90 22 | 98.88 86 | 99.86 184 | 99.91 5 | 100.00 1 | 99.77 34 |
|
v11 | | | 99.75 18 | 99.76 17 | 99.71 73 | 99.85 38 | 99.49 105 | 99.73 21 | 99.84 36 | 99.75 39 | 99.95 16 | 99.90 22 | 98.93 78 | 99.86 184 | 99.92 3 | 100.00 1 | 99.77 34 |
|
V9 | | | 99.74 22 | 99.75 19 | 99.71 73 | 99.84 41 | 99.50 103 | 99.74 19 | 99.86 21 | 99.76 38 | 99.96 8 | 99.90 22 | 98.83 89 | 99.85 202 | 99.91 5 | 100.00 1 | 99.77 34 |
|
ESAPD | | | 99.14 161 | 98.92 186 | 99.82 24 | 99.57 188 | 99.77 36 | 98.74 246 | 99.60 164 | 98.55 220 | 99.76 90 | 99.69 126 | 98.23 174 | 99.92 85 | 96.39 282 | 99.75 185 | 99.76 37 |
|
V14 | | | 99.73 23 | 99.74 20 | 99.69 80 | 99.83 45 | 99.48 108 | 99.72 25 | 99.85 28 | 99.74 40 | 99.96 8 | 99.89 31 | 98.79 97 | 99.85 202 | 99.91 5 | 100.00 1 | 99.76 37 |
|
Baseline_NR-MVSNet | | | 99.49 68 | 99.37 88 | 99.82 24 | 99.91 20 | 99.84 17 | 98.83 235 | 99.86 21 | 99.68 57 | 99.65 129 | 99.88 34 | 97.67 217 | 99.87 163 | 99.03 109 | 99.86 128 | 99.76 37 |
|
OurMVSNet-221017-0 | | | 99.75 18 | 99.71 24 | 99.84 20 | 99.96 4 | 99.83 21 | 99.83 7 | 99.85 28 | 99.80 31 | 99.93 25 | 99.93 13 | 98.54 142 | 99.93 66 | 99.59 39 | 99.98 36 | 99.76 37 |
|
v748 | | | 99.76 16 | 99.74 20 | 99.84 20 | 99.95 12 | 99.83 21 | 99.82 9 | 99.80 59 | 99.82 26 | 99.95 16 | 99.87 37 | 98.72 112 | 99.93 66 | 99.72 34 | 99.98 36 | 99.75 41 |
|
v15 | | | 99.72 24 | 99.73 23 | 99.68 83 | 99.82 52 | 99.44 120 | 99.70 29 | 99.85 28 | 99.72 46 | 99.95 16 | 99.88 34 | 98.76 105 | 99.84 218 | 99.90 9 | 100.00 1 | 99.75 41 |
|
DP-MVS | | | 99.48 70 | 99.39 82 | 99.74 57 | 99.57 188 | 99.62 84 | 99.29 134 | 99.61 150 | 99.87 13 | 99.74 101 | 99.76 90 | 98.69 115 | 99.87 163 | 98.20 175 | 99.80 167 | 99.75 41 |
|
v17 | | | 99.70 27 | 99.71 24 | 99.67 86 | 99.81 60 | 99.44 120 | 99.70 29 | 99.83 39 | 99.69 54 | 99.94 20 | 99.87 37 | 98.70 113 | 99.84 218 | 99.88 14 | 99.99 20 | 99.73 44 |
|
v16 | | | 99.70 27 | 99.71 24 | 99.67 86 | 99.81 60 | 99.43 126 | 99.70 29 | 99.83 39 | 99.70 50 | 99.94 20 | 99.87 37 | 98.69 115 | 99.84 218 | 99.88 14 | 99.99 20 | 99.73 44 |
|
v10 | | | 99.69 31 | 99.69 28 | 99.66 94 | 99.81 60 | 99.39 138 | 99.66 49 | 99.75 84 | 99.60 83 | 99.92 30 | 99.87 37 | 98.75 108 | 99.86 184 | 99.90 9 | 99.99 20 | 99.73 44 |
|
EI-MVSNet-UG-set | | | 99.48 70 | 99.50 67 | 99.42 183 | 99.57 188 | 98.65 243 | 99.24 144 | 99.46 224 | 99.68 57 | 99.80 74 | 99.66 152 | 98.99 71 | 99.89 128 | 99.19 86 | 99.90 102 | 99.72 47 |
|
Vis-MVSNet | ![Method available under a permissive open source license. permissive](img/icon_permissive.png) | | 99.75 18 | 99.74 20 | 99.79 34 | 99.88 27 | 99.66 71 | 99.69 38 | 99.92 6 | 99.67 59 | 99.77 87 | 99.75 94 | 99.61 17 | 99.98 7 | 99.35 65 | 99.98 36 | 99.72 47 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
HyFIR lowres test | | | 98.91 201 | 98.64 214 | 99.73 63 | 99.85 38 | 99.47 109 | 98.07 309 | 99.83 39 | 98.64 212 | 99.89 38 | 99.60 185 | 92.57 301 | 100.00 1 | 99.33 68 | 99.97 46 | 99.72 47 |
|
EI-MVSNet-Vis-set | | | 99.47 76 | 99.49 68 | 99.42 183 | 99.57 188 | 98.66 241 | 99.24 144 | 99.46 224 | 99.67 59 | 99.79 79 | 99.65 157 | 98.97 74 | 99.89 128 | 99.15 95 | 99.89 108 | 99.71 50 |
|
v18 | | | 99.68 32 | 99.69 28 | 99.65 98 | 99.79 81 | 99.40 135 | 99.68 41 | 99.83 39 | 99.66 64 | 99.93 25 | 99.85 45 | 98.65 124 | 99.84 218 | 99.87 18 | 99.99 20 | 99.71 50 |
|
v8 | | | 99.68 32 | 99.69 28 | 99.65 98 | 99.80 68 | 99.40 135 | 99.66 49 | 99.76 79 | 99.64 69 | 99.93 25 | 99.85 45 | 98.66 122 | 99.84 218 | 99.88 14 | 99.99 20 | 99.71 50 |
|
TransMVSNet (Re) | | | 99.78 14 | 99.77 13 | 99.81 27 | 99.91 20 | 99.85 12 | 99.75 17 | 99.86 21 | 99.70 50 | 99.91 32 | 99.89 31 | 99.60 19 | 99.87 163 | 99.59 39 | 99.74 193 | 99.71 50 |
|
VPA-MVSNet | | | 99.66 35 | 99.62 37 | 99.79 34 | 99.68 150 | 99.75 43 | 99.62 57 | 99.69 114 | 99.85 18 | 99.80 74 | 99.81 61 | 98.81 90 | 99.91 95 | 99.47 51 | 99.88 114 | 99.70 54 |
|
WR-MVS | | | 99.11 168 | 98.93 183 | 99.66 94 | 99.30 286 | 99.42 130 | 98.42 279 | 99.37 251 | 99.04 168 | 99.57 153 | 99.20 285 | 96.89 252 | 99.86 184 | 98.66 146 | 99.87 121 | 99.70 54 |
|
ACMH | | 98.42 6 | 99.59 45 | 99.54 53 | 99.72 69 | 99.86 34 | 99.62 84 | 99.56 71 | 99.79 67 | 98.77 198 | 99.80 74 | 99.85 45 | 99.64 14 | 99.85 202 | 98.70 141 | 99.89 108 | 99.70 54 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
pmmvs6 | | | 99.86 6 | 99.86 6 | 99.83 23 | 99.94 14 | 99.90 3 | 99.83 7 | 99.91 10 | 99.85 18 | 99.94 20 | 99.95 11 | 99.73 10 | 99.90 114 | 99.65 35 | 99.97 46 | 99.69 57 |
|
HPM-MVS_fast | | | 99.43 81 | 99.30 104 | 99.80 29 | 99.83 45 | 99.81 27 | 99.52 74 | 99.70 108 | 98.35 242 | 99.51 176 | 99.50 221 | 99.31 34 | 99.88 143 | 98.18 179 | 99.84 135 | 99.69 57 |
|
LPG-MVS_test | | | 99.22 140 | 99.05 159 | 99.74 57 | 99.82 52 | 99.63 82 | 99.16 172 | 99.73 92 | 97.56 286 | 99.64 131 | 99.69 126 | 99.37 29 | 99.89 128 | 96.66 271 | 99.87 121 | 99.69 57 |
|
LGP-MVS_train | | | | | 99.74 57 | 99.82 52 | 99.63 82 | | 99.73 92 | 97.56 286 | 99.64 131 | 99.69 126 | 99.37 29 | 99.89 128 | 96.66 271 | 99.87 121 | 99.69 57 |
|
SteuartSystems-ACMMP | | | 99.30 117 | 99.14 129 | 99.76 42 | 99.87 31 | 99.66 71 | 99.18 159 | 99.60 164 | 98.55 220 | 99.57 153 | 99.67 146 | 99.03 70 | 99.94 54 | 97.01 252 | 99.80 167 | 99.69 57 |
Skip Steuart: Steuart Systems R&D Blog. |
MG-MVS | | | 98.52 238 | 98.39 235 | 98.94 258 | 99.15 306 | 97.39 305 | 98.18 294 | 99.21 282 | 98.89 183 | 99.23 235 | 99.63 166 | 97.37 234 | 99.74 296 | 94.22 338 | 99.61 229 | 99.69 57 |
|
ACMMP_Plus | | | 99.28 120 | 99.11 138 | 99.79 34 | 99.75 111 | 99.81 27 | 98.95 219 | 99.53 196 | 98.27 251 | 99.53 172 | 99.73 100 | 98.75 108 | 99.87 163 | 97.70 207 | 99.83 145 | 99.68 63 |
|
HFP-MVS | | | 99.25 127 | 99.08 149 | 99.76 42 | 99.73 120 | 99.70 60 | 99.31 123 | 99.59 169 | 98.36 237 | 99.36 210 | 99.37 244 | 98.80 94 | 99.91 95 | 97.43 226 | 99.75 185 | 99.68 63 |
|
#test# | | | 99.12 165 | 98.90 190 | 99.76 42 | 99.73 120 | 99.70 60 | 99.10 188 | 99.59 169 | 97.60 284 | 99.36 210 | 99.37 244 | 98.80 94 | 99.91 95 | 96.84 261 | 99.75 185 | 99.68 63 |
|
EI-MVSNet | | | 99.38 97 | 99.44 75 | 99.21 233 | 99.58 179 | 98.09 280 | 99.26 139 | 99.46 224 | 99.62 73 | 99.75 93 | 99.67 146 | 98.54 142 | 99.85 202 | 99.15 95 | 99.92 90 | 99.68 63 |
|
TranMVSNet+NR-MVSNet | | | 99.54 59 | 99.47 69 | 99.76 42 | 99.58 179 | 99.64 78 | 99.30 126 | 99.63 143 | 99.61 77 | 99.71 109 | 99.56 203 | 98.76 105 | 99.96 33 | 99.14 101 | 99.92 90 | 99.68 63 |
|
PVSNet_Blended_VisFu | | | 99.40 91 | 99.38 84 | 99.44 178 | 99.90 24 | 98.66 241 | 98.94 222 | 99.91 10 | 97.97 265 | 99.79 79 | 99.73 100 | 99.05 68 | 99.97 16 | 99.15 95 | 99.99 20 | 99.68 63 |
|
IterMVS-LS | | | 99.41 88 | 99.47 69 | 99.25 228 | 99.81 60 | 98.09 280 | 98.85 232 | 99.76 79 | 99.62 73 | 99.83 64 | 99.64 158 | 98.54 142 | 99.97 16 | 99.15 95 | 99.99 20 | 99.68 63 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
MP-MVS-pluss | | | 99.14 161 | 98.92 186 | 99.80 29 | 99.83 45 | 99.83 21 | 98.61 252 | 99.63 143 | 96.84 310 | 99.44 184 | 99.58 193 | 98.81 90 | 99.91 95 | 97.70 207 | 99.82 154 | 99.67 70 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
region2R | | | 99.23 132 | 99.05 159 | 99.77 39 | 99.76 102 | 99.70 60 | 99.31 123 | 99.59 169 | 98.41 232 | 99.32 220 | 99.36 249 | 98.73 111 | 99.93 66 | 97.29 233 | 99.74 193 | 99.67 70 |
|
Regformer-4 | | | 99.45 79 | 99.44 75 | 99.50 161 | 99.52 209 | 98.94 217 | 99.17 166 | 99.53 196 | 99.64 69 | 99.76 90 | 99.60 185 | 98.96 77 | 99.90 114 | 98.91 126 | 99.84 135 | 99.67 70 |
|
XVS | | | 99.27 125 | 99.11 138 | 99.75 52 | 99.71 134 | 99.71 53 | 99.37 101 | 99.61 150 | 99.29 125 | 98.76 292 | 99.47 228 | 98.47 153 | 99.88 143 | 97.62 214 | 99.73 200 | 99.67 70 |
|
v1240 | | | 99.56 50 | 99.58 44 | 99.51 159 | 99.80 68 | 99.00 210 | 99.00 207 | 99.65 135 | 99.15 153 | 99.90 34 | 99.75 94 | 99.09 60 | 99.88 143 | 99.90 9 | 99.96 58 | 99.67 70 |
|
X-MVStestdata | | | 96.09 331 | 94.87 339 | 99.75 52 | 99.71 134 | 99.71 53 | 99.37 101 | 99.61 150 | 99.29 125 | 98.76 292 | 61.30 373 | 98.47 153 | 99.88 143 | 97.62 214 | 99.73 200 | 99.67 70 |
|
VPNet | | | 99.46 77 | 99.37 88 | 99.71 73 | 99.82 52 | 99.59 91 | 99.48 80 | 99.70 108 | 99.81 28 | 99.69 114 | 99.58 193 | 97.66 221 | 99.86 184 | 99.17 91 | 99.44 258 | 99.67 70 |
|
ACMMPR | | | 99.23 132 | 99.06 155 | 99.76 42 | 99.74 117 | 99.69 64 | 99.31 123 | 99.59 169 | 98.36 237 | 99.35 212 | 99.38 243 | 98.61 132 | 99.93 66 | 97.43 226 | 99.75 185 | 99.67 70 |
|
SixPastTwentyTwo | | | 99.42 84 | 99.30 104 | 99.76 42 | 99.92 18 | 99.67 69 | 99.70 29 | 99.14 288 | 99.65 67 | 99.89 38 | 99.90 22 | 96.20 268 | 99.94 54 | 99.42 58 | 99.92 90 | 99.67 70 |
|
HPM-MVS | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | 99.25 127 | 99.07 153 | 99.78 37 | 99.81 60 | 99.75 43 | 99.61 61 | 99.67 122 | 97.72 278 | 99.35 212 | 99.25 274 | 99.23 45 | 99.92 85 | 97.21 243 | 99.82 154 | 99.67 70 |
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
v144192 | | | 99.55 54 | 99.54 53 | 99.58 134 | 99.78 87 | 99.20 190 | 99.11 187 | 99.62 146 | 99.18 146 | 99.89 38 | 99.72 106 | 98.66 122 | 99.87 163 | 99.88 14 | 99.97 46 | 99.66 80 |
|
v1921920 | | | 99.56 50 | 99.57 47 | 99.55 149 | 99.75 111 | 99.11 199 | 99.05 198 | 99.61 150 | 99.15 153 | 99.88 46 | 99.71 113 | 99.08 63 | 99.87 163 | 99.90 9 | 99.97 46 | 99.66 80 |
|
v1192 | | | 99.57 47 | 99.57 47 | 99.57 140 | 99.77 97 | 99.22 184 | 99.04 200 | 99.60 164 | 99.18 146 | 99.87 51 | 99.72 106 | 99.08 63 | 99.85 202 | 99.89 13 | 99.98 36 | 99.66 80 |
|
PGM-MVS | | | 99.20 145 | 99.01 169 | 99.77 39 | 99.75 111 | 99.71 53 | 99.16 172 | 99.72 102 | 97.99 263 | 99.42 190 | 99.60 185 | 98.81 90 | 99.93 66 | 96.91 256 | 99.74 193 | 99.66 80 |
|
mPP-MVS | | | 99.19 148 | 99.00 171 | 99.76 42 | 99.76 102 | 99.68 67 | 99.38 97 | 99.54 191 | 98.34 246 | 99.01 263 | 99.50 221 | 98.53 146 | 99.93 66 | 97.18 245 | 99.78 176 | 99.66 80 |
|
CP-MVS | | | 99.23 132 | 99.05 159 | 99.75 52 | 99.66 156 | 99.66 71 | 99.38 97 | 99.62 146 | 98.38 235 | 99.06 261 | 99.27 270 | 98.79 97 | 99.94 54 | 97.51 222 | 99.82 154 | 99.66 80 |
|
EG-PatchMatch MVS | | | 99.57 47 | 99.56 51 | 99.62 119 | 99.77 97 | 99.33 157 | 99.26 139 | 99.76 79 | 99.32 124 | 99.80 74 | 99.78 79 | 99.29 36 | 99.87 163 | 99.15 95 | 99.91 100 | 99.66 80 |
|
UGNet | | | 99.38 97 | 99.34 94 | 99.49 163 | 98.90 326 | 98.90 225 | 99.70 29 | 99.35 254 | 99.86 15 | 98.57 309 | 99.81 61 | 98.50 151 | 99.93 66 | 99.38 61 | 99.98 36 | 99.66 80 |
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 |
TSAR-MVS + MP. | | | 99.34 109 | 99.24 118 | 99.63 110 | 99.82 52 | 99.37 147 | 99.26 139 | 99.35 254 | 98.77 198 | 99.57 153 | 99.70 120 | 99.27 41 | 99.88 143 | 97.71 206 | 99.75 185 | 99.65 88 |
|
zzz-MVS | | | 99.30 117 | 99.14 129 | 99.80 29 | 99.81 60 | 99.81 27 | 98.73 248 | 99.53 196 | 99.27 129 | 99.42 190 | 99.63 166 | 98.21 175 | 99.95 41 | 97.83 200 | 99.79 170 | 99.65 88 |
|
MTAPA | | | 99.35 104 | 99.20 124 | 99.80 29 | 99.81 60 | 99.81 27 | 99.33 113 | 99.53 196 | 99.27 129 | 99.42 190 | 99.63 166 | 98.21 175 | 99.95 41 | 97.83 200 | 99.79 170 | 99.65 88 |
|
Regformer-3 | | | 99.41 88 | 99.41 80 | 99.40 191 | 99.52 209 | 98.70 238 | 99.17 166 | 99.44 229 | 99.62 73 | 99.75 93 | 99.60 185 | 98.90 83 | 99.85 202 | 98.89 127 | 99.84 135 | 99.65 88 |
|
MCST-MVS | | | 99.02 181 | 98.81 202 | 99.65 98 | 99.58 179 | 99.49 105 | 98.58 256 | 99.07 291 | 98.40 233 | 99.04 262 | 99.25 274 | 98.51 150 | 99.80 267 | 97.31 232 | 99.51 249 | 99.65 88 |
|
UniMVSNet_NR-MVSNet | | | 99.37 99 | 99.25 117 | 99.72 69 | 99.47 235 | 99.56 96 | 98.97 217 | 99.61 150 | 99.43 111 | 99.67 119 | 99.28 268 | 97.85 203 | 99.95 41 | 99.17 91 | 99.81 162 | 99.65 88 |
|
v1144 | | | 99.54 59 | 99.53 61 | 99.59 130 | 99.79 81 | 99.28 167 | 99.10 188 | 99.61 150 | 99.20 144 | 99.84 60 | 99.73 100 | 98.67 120 | 99.84 218 | 99.86 19 | 99.98 36 | 99.64 94 |
|
v2v482 | | | 99.50 66 | 99.47 69 | 99.58 134 | 99.78 87 | 99.25 177 | 99.14 179 | 99.58 177 | 99.25 136 | 99.81 71 | 99.62 173 | 98.24 171 | 99.84 218 | 99.83 20 | 99.97 46 | 99.64 94 |
|
K. test v3 | | | 98.87 208 | 98.60 216 | 99.69 80 | 99.93 17 | 99.46 113 | 99.74 19 | 94.97 364 | 99.78 34 | 99.88 46 | 99.88 34 | 93.66 291 | 99.97 16 | 99.61 38 | 99.95 66 | 99.64 94 |
|
DeepC-MVS | | 98.90 4 | 99.62 42 | 99.61 40 | 99.67 86 | 99.72 131 | 99.44 120 | 99.24 144 | 99.71 105 | 99.27 129 | 99.93 25 | 99.90 22 | 99.70 12 | 99.93 66 | 98.99 112 | 99.99 20 | 99.64 94 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
SMA-MVS | | | 99.19 148 | 99.00 171 | 99.73 63 | 99.46 239 | 99.73 49 | 99.13 184 | 99.52 206 | 97.40 294 | 99.57 153 | 99.64 158 | 98.93 78 | 99.83 235 | 97.61 216 | 99.79 170 | 99.63 98 |
|
semantic-postprocess | | | | | 98.51 290 | 99.75 111 | 95.90 328 | | 99.84 36 | 99.84 22 | 99.89 38 | 99.73 100 | 95.96 273 | 99.99 4 | 99.33 68 | 100.00 1 | 99.63 98 |
|
v1141 | | | 99.54 59 | 99.52 63 | 99.57 140 | 99.78 87 | 99.27 171 | 99.15 174 | 99.61 150 | 99.26 133 | 99.89 38 | 99.69 126 | 98.56 136 | 99.82 243 | 99.82 23 | 99.97 46 | 99.63 98 |
|
testing_2 | | | 99.58 46 | 99.56 51 | 99.62 119 | 99.81 60 | 99.44 120 | 99.14 179 | 99.43 232 | 99.69 54 | 99.82 65 | 99.79 70 | 99.14 53 | 99.79 270 | 99.31 73 | 99.95 66 | 99.63 98 |
|
pm-mvs1 | | | 99.79 13 | 99.79 12 | 99.78 37 | 99.91 20 | 99.83 21 | 99.76 16 | 99.87 19 | 99.73 43 | 99.89 38 | 99.87 37 | 99.63 15 | 99.87 163 | 99.54 45 | 99.92 90 | 99.63 98 |
|
divwei89l23v2f112 | | | 99.54 59 | 99.52 63 | 99.57 140 | 99.78 87 | 99.27 171 | 99.15 174 | 99.61 150 | 99.26 133 | 99.89 38 | 99.69 126 | 98.56 136 | 99.82 243 | 99.82 23 | 99.96 58 | 99.63 98 |
|
v1 | | | 99.54 59 | 99.52 63 | 99.58 134 | 99.77 97 | 99.28 167 | 99.15 174 | 99.61 150 | 99.26 133 | 99.88 46 | 99.68 139 | 98.56 136 | 99.82 243 | 99.82 23 | 99.97 46 | 99.63 98 |
|
MP-MVS | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | 99.06 173 | 98.83 200 | 99.76 42 | 99.76 102 | 99.71 53 | 99.32 116 | 99.50 212 | 98.35 242 | 98.97 266 | 99.48 225 | 98.37 162 | 99.92 85 | 95.95 303 | 99.75 185 | 99.63 98 |
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
DU-MVS | | | 99.33 113 | 99.21 123 | 99.71 73 | 99.43 246 | 99.56 96 | 98.83 235 | 99.53 196 | 99.38 117 | 99.67 119 | 99.36 249 | 97.67 217 | 99.95 41 | 99.17 91 | 99.81 162 | 99.63 98 |
|
NR-MVSNet | | | 99.40 91 | 99.31 99 | 99.68 83 | 99.43 246 | 99.55 99 | 99.73 21 | 99.50 212 | 99.46 103 | 99.88 46 | 99.36 249 | 97.54 224 | 99.87 163 | 98.97 118 | 99.87 121 | 99.63 98 |
|
IterMVS | | | 98.97 191 | 99.16 126 | 98.42 295 | 99.74 117 | 95.64 335 | 98.06 310 | 99.83 39 | 99.83 25 | 99.85 57 | 99.74 96 | 96.10 271 | 99.99 4 | 99.27 81 | 100.00 1 | 99.63 98 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
EPP-MVSNet | | | 99.17 154 | 99.00 171 | 99.66 94 | 99.80 68 | 99.43 126 | 99.70 29 | 99.24 279 | 99.48 95 | 99.56 161 | 99.77 86 | 94.89 281 | 99.93 66 | 98.72 140 | 99.89 108 | 99.63 98 |
|
ACMMP | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | 99.25 127 | 99.08 149 | 99.74 57 | 99.79 81 | 99.68 67 | 99.50 76 | 99.65 135 | 98.07 259 | 99.52 174 | 99.69 126 | 98.57 135 | 99.92 85 | 97.18 245 | 99.79 170 | 99.63 98 |
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 |
DeepC-MVS_fast | | 98.47 5 | 99.23 132 | 99.12 135 | 99.56 146 | 99.28 289 | 99.22 184 | 98.99 212 | 99.40 241 | 99.08 163 | 99.58 151 | 99.64 158 | 98.90 83 | 99.83 235 | 97.44 225 | 99.75 185 | 99.63 98 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
GST-MVS | | | 99.16 157 | 98.96 181 | 99.75 52 | 99.73 120 | 99.73 49 | 99.20 156 | 99.55 186 | 98.22 253 | 99.32 220 | 99.35 254 | 98.65 124 | 99.91 95 | 96.86 259 | 99.74 193 | 99.62 112 |
|
new-patchmatchnet | | | 99.35 104 | 99.57 47 | 98.71 285 | 99.82 52 | 96.62 315 | 98.55 261 | 99.75 84 | 99.50 93 | 99.88 46 | 99.87 37 | 99.31 34 | 99.88 143 | 99.43 54 | 100.00 1 | 99.62 112 |
|
CPTT-MVS | | | 98.74 222 | 98.44 228 | 99.64 106 | 99.61 171 | 99.38 144 | 99.18 159 | 99.55 186 | 96.49 320 | 99.27 228 | 99.37 244 | 97.11 246 | 99.92 85 | 95.74 310 | 99.67 216 | 99.62 112 |
|
MIMVSNet1 | | | 99.66 35 | 99.62 37 | 99.80 29 | 99.94 14 | 99.87 8 | 99.69 38 | 99.77 72 | 99.78 34 | 99.93 25 | 99.89 31 | 97.94 196 | 99.92 85 | 99.65 35 | 99.98 36 | 99.62 112 |
|
DeepPCF-MVS | | 98.42 6 | 99.18 151 | 99.02 166 | 99.67 86 | 99.22 296 | 99.75 43 | 97.25 350 | 99.47 221 | 98.72 207 | 99.66 123 | 99.70 120 | 99.29 36 | 99.63 343 | 98.07 187 | 99.81 162 | 99.62 112 |
|
3Dnovator+ | | 98.92 3 | 99.35 104 | 99.24 118 | 99.67 86 | 99.35 265 | 99.47 109 | 99.62 57 | 99.50 212 | 99.44 106 | 99.12 253 | 99.78 79 | 98.77 103 | 99.94 54 | 97.87 197 | 99.72 205 | 99.62 112 |
|
HSP-MVS | | | 99.01 185 | 98.76 206 | 99.76 42 | 99.78 87 | 99.73 49 | 99.35 104 | 99.31 263 | 98.54 222 | 99.54 169 | 98.99 311 | 96.81 253 | 99.93 66 | 96.97 254 | 99.53 247 | 99.61 118 |
|
v7 | | | 99.56 50 | 99.54 53 | 99.61 122 | 99.80 68 | 99.39 138 | 99.30 126 | 99.59 169 | 99.14 155 | 99.82 65 | 99.72 106 | 98.75 108 | 99.84 218 | 99.83 20 | 99.94 79 | 99.61 118 |
|
v6 | | | 99.55 54 | 99.54 53 | 99.61 122 | 99.80 68 | 99.39 138 | 99.32 116 | 99.60 164 | 99.18 146 | 99.87 51 | 99.68 139 | 98.65 124 | 99.82 243 | 99.79 26 | 99.95 66 | 99.61 118 |
|
APD-MVS | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | 98.87 208 | 98.59 217 | 99.71 73 | 99.50 219 | 99.62 84 | 99.01 205 | 99.57 180 | 96.80 312 | 99.54 169 | 99.63 166 | 98.29 167 | 99.91 95 | 95.24 327 | 99.71 206 | 99.61 118 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
NCCC | | | 98.82 213 | 98.57 220 | 99.58 134 | 99.21 297 | 99.31 160 | 98.61 252 | 99.25 276 | 98.65 211 | 98.43 317 | 99.26 272 | 97.86 202 | 99.81 262 | 96.55 276 | 99.27 286 | 99.61 118 |
|
TAMVS | | | 99.49 68 | 99.45 73 | 99.63 110 | 99.48 230 | 99.42 130 | 99.45 84 | 99.57 180 | 99.66 64 | 99.78 82 | 99.83 51 | 97.85 203 | 99.86 184 | 99.44 53 | 99.96 58 | 99.61 118 |
|
v1neww | | | 99.55 54 | 99.54 53 | 99.61 122 | 99.80 68 | 99.39 138 | 99.32 116 | 99.61 150 | 99.18 146 | 99.87 51 | 99.69 126 | 98.64 128 | 99.82 243 | 99.79 26 | 99.94 79 | 99.60 124 |
|
Regformer-1 | | | 99.32 115 | 99.27 113 | 99.47 168 | 99.41 253 | 98.95 216 | 98.99 212 | 99.48 217 | 99.48 95 | 99.66 123 | 99.52 214 | 98.78 100 | 99.87 163 | 98.36 161 | 99.74 193 | 99.60 124 |
|
Regformer-2 | | | 99.34 109 | 99.27 113 | 99.53 154 | 99.41 253 | 99.10 202 | 98.99 212 | 99.53 196 | 99.47 99 | 99.66 123 | 99.52 214 | 98.80 94 | 99.89 128 | 98.31 166 | 99.74 193 | 99.60 124 |
|
v7new | | | 99.55 54 | 99.54 53 | 99.61 122 | 99.80 68 | 99.39 138 | 99.32 116 | 99.61 150 | 99.18 146 | 99.87 51 | 99.69 126 | 98.64 128 | 99.82 243 | 99.79 26 | 99.94 79 | 99.60 124 |
|
HPM-MVS++ | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | 98.96 194 | 98.70 209 | 99.74 57 | 99.52 209 | 99.71 53 | 98.86 229 | 99.19 283 | 98.47 228 | 98.59 307 | 99.06 304 | 98.08 186 | 99.91 95 | 96.94 255 | 99.60 230 | 99.60 124 |
|
V42 | | | 99.56 50 | 99.54 53 | 99.63 110 | 99.79 81 | 99.46 113 | 99.39 91 | 99.59 169 | 99.24 138 | 99.86 56 | 99.70 120 | 98.55 140 | 99.82 243 | 99.79 26 | 99.95 66 | 99.60 124 |
|
HQP_MVS | | | 98.90 203 | 98.68 211 | 99.55 149 | 99.58 179 | 99.24 180 | 98.80 240 | 99.54 191 | 98.94 177 | 99.14 251 | 99.25 274 | 97.24 238 | 99.82 243 | 95.84 306 | 99.78 176 | 99.60 124 |
|
plane_prior5 | | | | | | | | | 99.54 191 | | | | | 99.82 243 | 95.84 306 | 99.78 176 | 99.60 124 |
|
TDRefinement | | | 99.72 24 | 99.70 27 | 99.77 39 | 99.90 24 | 99.85 12 | 99.86 6 | 99.92 6 | 99.69 54 | 99.78 82 | 99.92 16 | 99.37 29 | 99.88 143 | 98.93 125 | 99.95 66 | 99.60 124 |
|
ACMH+ | | 98.40 8 | 99.50 66 | 99.43 78 | 99.71 73 | 99.86 34 | 99.76 41 | 99.32 116 | 99.77 72 | 99.53 90 | 99.77 87 | 99.76 90 | 99.26 44 | 99.78 278 | 97.77 203 | 99.88 114 | 99.60 124 |
|
ACMM | | 98.09 11 | 99.46 77 | 99.38 84 | 99.72 69 | 99.80 68 | 99.69 64 | 99.13 184 | 99.65 135 | 98.99 171 | 99.64 131 | 99.72 106 | 99.39 23 | 99.86 184 | 98.23 172 | 99.81 162 | 99.60 124 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
VDDNet | | | 98.97 191 | 98.82 201 | 99.42 183 | 99.71 134 | 98.81 234 | 99.62 57 | 98.68 309 | 99.81 28 | 99.38 208 | 99.80 63 | 94.25 287 | 99.85 202 | 98.79 133 | 99.32 278 | 99.59 135 |
|
UniMVSNet (Re) | | | 99.37 99 | 99.26 115 | 99.68 83 | 99.51 213 | 99.58 93 | 98.98 216 | 99.60 164 | 99.43 111 | 99.70 111 | 99.36 249 | 97.70 212 | 99.88 143 | 99.20 85 | 99.87 121 | 99.59 135 |
|
DSMNet-mixed | | | 99.48 70 | 99.65 33 | 98.95 257 | 99.71 134 | 97.27 306 | 99.50 76 | 99.82 47 | 99.59 85 | 99.41 196 | 99.85 45 | 99.62 16 | 100.00 1 | 99.53 47 | 99.89 108 | 99.59 135 |
|
3Dnovator | | 99.15 2 | 99.43 81 | 99.36 91 | 99.65 98 | 99.39 257 | 99.42 130 | 99.70 29 | 99.56 183 | 99.23 140 | 99.35 212 | 99.80 63 | 99.17 50 | 99.95 41 | 98.21 174 | 99.84 135 | 99.59 135 |
|
abl_6 | | | 99.36 102 | 99.23 120 | 99.75 52 | 99.71 134 | 99.74 48 | 99.33 113 | 99.76 79 | 99.07 165 | 99.65 129 | 99.63 166 | 99.09 60 | 99.92 85 | 97.13 247 | 99.76 182 | 99.58 139 |
|
EPNet | | | 98.13 269 | 97.77 280 | 99.18 239 | 94.57 370 | 97.99 284 | 99.24 144 | 97.96 330 | 99.74 40 | 97.29 355 | 99.62 173 | 93.13 296 | 99.97 16 | 98.59 148 | 99.83 145 | 99.58 139 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
IS-MVSNet | | | 99.03 179 | 98.85 195 | 99.55 149 | 99.80 68 | 99.25 177 | 99.73 21 | 99.15 287 | 99.37 118 | 99.61 147 | 99.71 113 | 94.73 283 | 99.81 262 | 97.70 207 | 99.88 114 | 99.58 139 |
|
ACMP | | 97.51 14 | 99.05 176 | 98.84 197 | 99.67 86 | 99.78 87 | 99.55 99 | 98.88 226 | 99.66 126 | 97.11 306 | 99.47 181 | 99.60 185 | 99.07 65 | 99.89 128 | 96.18 289 | 99.85 131 | 99.58 139 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
lessismore_v0 | | | | | 99.64 106 | 99.86 34 | 99.38 144 | | 90.66 370 | | 99.89 38 | 99.83 51 | 94.56 285 | 99.97 16 | 99.56 44 | 99.92 90 | 99.57 143 |
|
pmmvs5 | | | 99.19 148 | 99.11 138 | 99.42 183 | 99.76 102 | 98.88 227 | 98.55 261 | 99.73 92 | 98.82 191 | 99.72 105 | 99.62 173 | 96.56 257 | 99.82 243 | 99.32 71 | 99.95 66 | 99.56 144 |
|
APD-MVS_3200maxsize | | | 99.31 116 | 99.16 126 | 99.74 57 | 99.53 206 | 99.75 43 | 99.27 138 | 99.61 150 | 99.19 145 | 99.57 153 | 99.64 158 | 98.76 105 | 99.90 114 | 97.29 233 | 99.62 225 | 99.56 144 |
|
CDPH-MVS | | | 98.56 234 | 98.20 250 | 99.61 122 | 99.50 219 | 99.46 113 | 98.32 286 | 99.41 235 | 95.22 339 | 99.21 241 | 99.10 295 | 98.34 164 | 99.82 243 | 95.09 330 | 99.66 219 | 99.56 144 |
|
our_test_3 | | | 98.85 210 | 99.09 147 | 98.13 308 | 99.66 156 | 94.90 344 | 97.72 333 | 99.58 177 | 99.07 165 | 99.64 131 | 99.62 173 | 98.19 178 | 99.93 66 | 98.41 157 | 99.95 66 | 99.55 147 |
|
testmv | | | 99.53 65 | 99.51 66 | 99.59 130 | 99.73 120 | 99.31 160 | 98.48 270 | 99.92 6 | 99.57 87 | 99.87 51 | 99.79 70 | 99.12 57 | 99.91 95 | 99.16 94 | 99.99 20 | 99.55 147 |
|
YYNet1 | | | 98.95 197 | 98.99 175 | 98.84 271 | 99.64 162 | 97.14 309 | 98.22 292 | 99.32 259 | 98.92 181 | 99.59 150 | 99.66 152 | 97.40 230 | 99.83 235 | 98.27 170 | 99.90 102 | 99.55 147 |
|
MDA-MVSNet_test_wron | | | 98.95 197 | 98.99 175 | 98.85 269 | 99.64 162 | 97.16 308 | 98.23 291 | 99.33 257 | 98.93 179 | 99.56 161 | 99.66 152 | 97.39 232 | 99.83 235 | 98.29 168 | 99.88 114 | 99.55 147 |
|
MVSFormer | | | 99.41 88 | 99.44 75 | 99.31 214 | 99.57 188 | 98.40 255 | 99.77 13 | 99.80 59 | 99.73 43 | 99.63 135 | 99.30 263 | 98.02 190 | 99.98 7 | 99.43 54 | 99.69 209 | 99.55 147 |
|
jason | | | 99.16 157 | 99.11 138 | 99.32 211 | 99.75 111 | 98.44 251 | 98.26 289 | 99.39 244 | 98.70 208 | 99.74 101 | 99.30 263 | 98.54 142 | 99.97 16 | 98.48 154 | 99.82 154 | 99.55 147 |
jason: jason. |
CDS-MVSNet | | | 99.22 140 | 99.13 132 | 99.50 161 | 99.35 265 | 99.11 199 | 98.96 218 | 99.54 191 | 99.46 103 | 99.61 147 | 99.70 120 | 96.31 265 | 99.83 235 | 99.34 66 | 99.88 114 | 99.55 147 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
COLMAP_ROB | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | 98.06 12 | 99.45 79 | 99.37 88 | 99.70 79 | 99.83 45 | 99.70 60 | 99.38 97 | 99.78 69 | 99.53 90 | 99.67 119 | 99.78 79 | 99.19 48 | 99.86 184 | 97.32 231 | 99.87 121 | 99.55 147 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
SD-MVS | | | 99.01 185 | 99.30 104 | 98.15 307 | 99.50 219 | 99.40 135 | 98.94 222 | 99.61 150 | 99.22 143 | 99.75 93 | 99.82 58 | 99.54 21 | 95.51 368 | 97.48 223 | 99.87 121 | 99.54 155 |
|
CNVR-MVS | | | 98.99 190 | 98.80 204 | 99.56 146 | 99.25 292 | 99.43 126 | 98.54 264 | 99.27 271 | 98.58 218 | 98.80 287 | 99.43 234 | 98.53 146 | 99.70 307 | 97.22 241 | 99.59 231 | 99.54 155 |
|
MVS_111021_HR | | | 99.12 165 | 99.02 166 | 99.40 191 | 99.50 219 | 99.11 199 | 97.92 326 | 99.71 105 | 98.76 201 | 99.08 256 | 99.47 228 | 99.17 50 | 99.54 352 | 97.85 199 | 99.76 182 | 99.54 155 |
|
v148 | | | 99.40 91 | 99.41 80 | 99.39 194 | 99.76 102 | 98.94 217 | 99.09 192 | 99.59 169 | 99.17 151 | 99.81 71 | 99.61 182 | 98.41 159 | 99.69 313 | 99.32 71 | 99.94 79 | 99.53 158 |
|
HQP4-MVS | | | | | | | | | | | 98.15 328 | | | 99.70 307 | | | 99.53 158 |
|
GBi-Net | | | 99.42 84 | 99.31 99 | 99.73 63 | 99.49 224 | 99.77 36 | 99.68 41 | 99.70 108 | 99.44 106 | 99.62 142 | 99.83 51 | 97.21 240 | 99.90 114 | 98.96 119 | 99.90 102 | 99.53 158 |
|
test1 | | | 99.42 84 | 99.31 99 | 99.73 63 | 99.49 224 | 99.77 36 | 99.68 41 | 99.70 108 | 99.44 106 | 99.62 142 | 99.83 51 | 97.21 240 | 99.90 114 | 98.96 119 | 99.90 102 | 99.53 158 |
|
FMVSNet1 | | | 99.66 35 | 99.63 36 | 99.73 63 | 99.78 87 | 99.77 36 | 99.68 41 | 99.70 108 | 99.67 59 | 99.82 65 | 99.83 51 | 98.98 72 | 99.90 114 | 99.24 82 | 99.97 46 | 99.53 158 |
|
HQP-MVS | | | 98.36 253 | 98.02 261 | 99.39 194 | 99.31 282 | 98.94 217 | 97.98 318 | 99.37 251 | 97.45 291 | 98.15 328 | 98.83 329 | 96.67 255 | 99.70 307 | 94.73 332 | 99.67 216 | 99.53 158 |
|
QAPM | | | 98.40 251 | 97.99 262 | 99.65 98 | 99.39 257 | 99.47 109 | 99.67 46 | 99.52 206 | 91.70 357 | 98.78 290 | 99.80 63 | 98.55 140 | 99.95 41 | 94.71 334 | 99.75 185 | 99.53 158 |
|
F-COLMAP | | | 98.74 222 | 98.45 227 | 99.62 119 | 99.57 188 | 99.47 109 | 98.84 233 | 99.65 135 | 96.31 322 | 98.93 274 | 99.19 286 | 97.68 216 | 99.87 163 | 96.52 277 | 99.37 273 | 99.53 158 |
|
1111 | | | 97.29 292 | 96.71 311 | 99.04 252 | 99.65 160 | 97.72 293 | 98.35 282 | 99.80 59 | 99.40 114 | 99.66 123 | 99.43 234 | 75.10 372 | 99.87 163 | 98.98 114 | 99.98 36 | 99.52 166 |
|
MVSTER | | | 98.47 243 | 98.22 248 | 99.24 230 | 99.06 319 | 98.35 260 | 99.08 195 | 99.46 224 | 99.27 129 | 99.75 93 | 99.66 152 | 88.61 333 | 99.85 202 | 99.14 101 | 99.92 90 | 99.52 166 |
|
PVSNet_BlendedMVS | | | 99.03 179 | 99.01 169 | 99.09 245 | 99.54 203 | 97.99 284 | 98.58 256 | 99.82 47 | 97.62 283 | 99.34 216 | 99.71 113 | 98.52 148 | 99.77 284 | 97.98 192 | 99.97 46 | 99.52 166 |
|
OPM-MVS | | | 99.26 126 | 99.13 132 | 99.63 110 | 99.70 141 | 99.61 88 | 98.58 256 | 99.48 217 | 98.50 225 | 99.52 174 | 99.63 166 | 99.14 53 | 99.76 286 | 97.89 196 | 99.77 180 | 99.51 169 |
|
agg_prior1 | | | 98.33 259 | 97.92 270 | 99.57 140 | 99.35 265 | 99.36 150 | 97.99 317 | 99.39 244 | 94.85 346 | 97.76 349 | 98.98 314 | 98.03 188 | 99.85 202 | 95.49 320 | 99.44 258 | 99.51 169 |
|
AllTest | | | 99.21 143 | 99.07 153 | 99.63 110 | 99.78 87 | 99.64 78 | 99.12 186 | 99.83 39 | 98.63 213 | 99.63 135 | 99.72 106 | 98.68 117 | 99.75 292 | 96.38 283 | 99.83 145 | 99.51 169 |
|
TestCases | | | | | 99.63 110 | 99.78 87 | 99.64 78 | | 99.83 39 | 98.63 213 | 99.63 135 | 99.72 106 | 98.68 117 | 99.75 292 | 96.38 283 | 99.83 145 | 99.51 169 |
|
BH-RMVSNet | | | 98.41 249 | 98.14 255 | 99.21 233 | 99.21 297 | 98.47 248 | 98.60 254 | 98.26 326 | 98.35 242 | 98.93 274 | 99.31 260 | 97.20 243 | 99.66 333 | 94.32 336 | 99.10 295 | 99.51 169 |
|
USDC | | | 98.96 194 | 98.93 183 | 99.05 251 | 99.54 203 | 97.99 284 | 97.07 352 | 99.80 59 | 98.21 254 | 99.75 93 | 99.77 86 | 98.43 157 | 99.64 342 | 97.90 195 | 99.88 114 | 99.51 169 |
|
test9_res | | | | | | | | | | | | | | | 95.10 329 | 99.44 258 | 99.50 175 |
|
train_agg | | | 98.35 256 | 97.95 266 | 99.57 140 | 99.35 265 | 99.35 154 | 98.11 303 | 99.41 235 | 94.90 343 | 97.92 339 | 98.99 311 | 98.02 190 | 99.85 202 | 95.38 325 | 99.44 258 | 99.50 175 |
|
agg_prior3 | | | 98.24 263 | 97.81 276 | 99.53 154 | 99.34 275 | 99.26 173 | 98.09 305 | 99.39 244 | 94.21 351 | 97.77 348 | 98.96 319 | 97.74 211 | 99.84 218 | 95.38 325 | 99.44 258 | 99.50 175 |
|
agg_prior2 | | | | | | | | | | | | | | | 94.58 335 | 99.46 257 | 99.50 175 |
|
VDD-MVS | | | 99.20 145 | 99.11 138 | 99.44 178 | 99.43 246 | 98.98 212 | 99.50 76 | 98.32 325 | 99.80 31 | 99.56 161 | 99.69 126 | 96.99 250 | 99.85 202 | 98.99 112 | 99.73 200 | 99.50 175 |
|
MDA-MVSNet-bldmvs | | | 99.06 173 | 99.05 159 | 99.07 249 | 99.80 68 | 97.83 290 | 98.89 224 | 99.72 102 | 99.29 125 | 99.63 135 | 99.70 120 | 96.47 261 | 99.89 128 | 98.17 181 | 99.82 154 | 99.50 175 |
|
Anonymous20240529 | | | 99.42 84 | 99.34 94 | 99.65 98 | 99.53 206 | 99.60 89 | 99.63 56 | 99.39 244 | 99.47 99 | 99.76 90 | 99.78 79 | 98.13 182 | 99.86 184 | 98.70 141 | 99.68 211 | 99.49 181 |
|
WTY-MVS | | | 98.59 232 | 98.37 238 | 99.26 224 | 99.43 246 | 98.40 255 | 98.74 246 | 99.13 290 | 98.10 258 | 99.21 241 | 99.24 279 | 94.82 282 | 99.90 114 | 97.86 198 | 98.77 315 | 99.49 181 |
|
ppachtmachnet_test | | | 98.89 206 | 99.12 135 | 98.20 305 | 99.66 156 | 95.24 341 | 97.63 335 | 99.68 117 | 99.08 163 | 99.78 82 | 99.62 173 | 98.65 124 | 99.88 143 | 98.02 188 | 99.96 58 | 99.48 183 |
|
Anonymous20231206 | | | 99.35 104 | 99.31 99 | 99.47 168 | 99.74 117 | 99.06 209 | 99.28 135 | 99.74 89 | 99.23 140 | 99.72 105 | 99.53 212 | 97.63 223 | 99.88 143 | 99.11 103 | 99.84 135 | 99.48 183 |
|
test_prior3 | | | 98.62 228 | 98.34 241 | 99.46 171 | 99.35 265 | 99.22 184 | 97.95 322 | 99.39 244 | 97.87 270 | 98.05 334 | 99.05 305 | 97.90 198 | 99.69 313 | 95.99 299 | 99.49 252 | 99.48 183 |
|
test_prior | | | | | 99.46 171 | 99.35 265 | 99.22 184 | | 99.39 244 | | | | | 99.69 313 | | | 99.48 183 |
|
test12 | | | | | 99.54 153 | 99.29 287 | 99.33 157 | | 99.16 286 | | 98.43 317 | | 97.54 224 | 99.82 243 | | 99.47 254 | 99.48 183 |
|
VNet | | | 99.18 151 | 99.06 155 | 99.56 146 | 99.24 294 | 99.36 150 | 99.33 113 | 99.31 263 | 99.67 59 | 99.47 181 | 99.57 199 | 96.48 260 | 99.84 218 | 99.15 95 | 99.30 280 | 99.47 188 |
|
test20.03 | | | 99.55 54 | 99.54 53 | 99.58 134 | 99.79 81 | 99.37 147 | 99.02 203 | 99.89 14 | 99.60 83 | 99.82 65 | 99.62 173 | 98.81 90 | 99.89 128 | 99.43 54 | 99.86 128 | 99.47 188 |
|
114514_t | | | 98.49 241 | 98.11 256 | 99.64 106 | 99.73 120 | 99.58 93 | 99.24 144 | 99.76 79 | 89.94 360 | 99.42 190 | 99.56 203 | 97.76 210 | 99.86 184 | 97.74 205 | 99.82 154 | 99.47 188 |
|
sss | | | 98.90 203 | 98.77 205 | 99.27 219 | 99.48 230 | 98.44 251 | 98.72 249 | 99.32 259 | 97.94 267 | 99.37 209 | 99.35 254 | 96.31 265 | 99.91 95 | 98.85 129 | 99.63 224 | 99.47 188 |
|
旧先验1 | | | | | | 99.49 224 | 99.29 165 | | 99.26 273 | | | 99.39 242 | 97.67 217 | | | 99.36 274 | 99.46 192 |
|
1121 | | | 98.56 234 | 98.24 246 | 99.52 156 | 99.49 224 | 99.24 180 | 99.30 126 | 99.22 281 | 95.77 331 | 98.52 311 | 99.29 267 | 97.39 232 | 99.85 202 | 95.79 308 | 99.34 275 | 99.46 192 |
|
MVP-Stereo | | | 99.16 157 | 99.08 149 | 99.43 181 | 99.48 230 | 99.07 207 | 99.08 195 | 99.55 186 | 98.63 213 | 99.31 223 | 99.68 139 | 98.19 178 | 99.78 278 | 98.18 179 | 99.58 233 | 99.45 194 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
æ–°å‡ ä½•1 | | | | | 99.52 156 | 99.50 219 | 99.22 184 | | 99.26 273 | 95.66 335 | 98.60 306 | 99.28 268 | 97.67 217 | 99.89 128 | 95.95 303 | 99.32 278 | 99.45 194 |
|
LFMVS | | | 98.46 244 | 98.19 253 | 99.26 224 | 99.24 294 | 98.52 247 | 99.62 57 | 96.94 349 | 99.87 13 | 99.31 223 | 99.58 193 | 91.04 314 | 99.81 262 | 98.68 145 | 99.42 265 | 99.45 194 |
|
testgi | | | 99.29 119 | 99.26 115 | 99.37 200 | 99.75 111 | 98.81 234 | 98.84 233 | 99.89 14 | 98.38 235 | 99.75 93 | 99.04 308 | 99.36 32 | 99.86 184 | 99.08 106 | 99.25 287 | 99.45 194 |
|
UnsupCasMVSNet_eth | | | 98.83 211 | 98.57 220 | 99.59 130 | 99.68 150 | 99.45 118 | 98.99 212 | 99.67 122 | 99.48 95 | 99.55 166 | 99.36 249 | 94.92 280 | 99.86 184 | 98.95 123 | 96.57 360 | 99.45 194 |
|
æ— å…ˆéªŒ | | | | | | | | 98.01 313 | 99.23 280 | 95.83 329 | | | | 99.85 202 | 95.79 308 | | 99.44 199 |
|
testdata | | | | | 99.42 183 | 99.51 213 | 98.93 222 | | 99.30 266 | 96.20 323 | 98.87 281 | 99.40 239 | 98.33 166 | 99.89 128 | 96.29 286 | 99.28 282 | 99.44 199 |
|
XVG-OURS-SEG-HR | | | 99.16 157 | 98.99 175 | 99.66 94 | 99.84 41 | 99.64 78 | 98.25 290 | 99.73 92 | 98.39 234 | 99.63 135 | 99.43 234 | 99.70 12 | 99.90 114 | 97.34 230 | 98.64 324 | 99.44 199 |
|
FMVSNet2 | | | 99.35 104 | 99.28 111 | 99.55 149 | 99.49 224 | 99.35 154 | 99.45 84 | 99.57 180 | 99.44 106 | 99.70 111 | 99.74 96 | 97.21 240 | 99.87 163 | 99.03 109 | 99.94 79 | 99.44 199 |
|
N_pmnet | | | 98.73 224 | 98.53 224 | 99.35 204 | 99.72 131 | 98.67 240 | 98.34 284 | 94.65 365 | 98.35 242 | 99.79 79 | 99.68 139 | 98.03 188 | 99.93 66 | 98.28 169 | 99.92 90 | 99.44 199 |
|
RPSCF | | | 99.18 151 | 99.02 166 | 99.64 106 | 99.83 45 | 99.85 12 | 99.44 86 | 99.82 47 | 98.33 247 | 99.50 178 | 99.78 79 | 97.90 198 | 99.65 340 | 96.78 264 | 99.83 145 | 99.44 199 |
|
原ACMM1 | | | | | 99.37 200 | 99.47 235 | 98.87 229 | | 99.27 271 | 96.74 313 | 98.26 323 | 99.32 258 | 97.93 197 | 99.82 243 | 95.96 302 | 99.38 271 | 99.43 205 |
|
test222 | | | | | | 99.51 213 | 99.08 205 | 97.83 331 | 99.29 267 | 95.21 340 | 98.68 301 | 99.31 260 | 97.28 237 | | | 99.38 271 | 99.43 205 |
|
XVG-OURS | | | 99.21 143 | 99.06 155 | 99.65 98 | 99.82 52 | 99.62 84 | 97.87 329 | 99.74 89 | 98.36 237 | 99.66 123 | 99.68 139 | 99.71 11 | 99.90 114 | 96.84 261 | 99.88 114 | 99.43 205 |
|
CSCG | | | 99.37 99 | 99.29 109 | 99.60 128 | 99.71 134 | 99.46 113 | 99.43 87 | 99.85 28 | 98.79 195 | 99.41 196 | 99.60 185 | 98.92 80 | 99.92 85 | 98.02 188 | 99.92 90 | 99.43 205 |
|
TinyColmap | | | 98.97 191 | 98.93 183 | 99.07 249 | 99.46 239 | 98.19 272 | 97.75 332 | 99.75 84 | 98.79 195 | 99.54 169 | 99.70 120 | 98.97 74 | 99.62 344 | 96.63 273 | 99.83 145 | 99.41 209 |
|
Anonymous202405211 | | | 98.75 221 | 98.46 226 | 99.63 110 | 99.34 275 | 99.66 71 | 99.47 83 | 97.65 340 | 99.28 128 | 99.56 161 | 99.50 221 | 93.15 295 | 99.84 218 | 98.62 147 | 99.58 233 | 99.40 210 |
|
test12356 | | | 98.43 246 | 98.39 235 | 98.55 289 | 99.46 239 | 96.36 318 | 97.32 348 | 99.81 55 | 97.60 284 | 99.62 142 | 99.37 244 | 94.57 284 | 99.89 128 | 97.80 202 | 99.92 90 | 99.40 210 |
|
XVG-ACMP-BASELINE | | | 99.23 132 | 99.10 145 | 99.63 110 | 99.82 52 | 99.58 93 | 98.83 235 | 99.72 102 | 98.36 237 | 99.60 149 | 99.71 113 | 98.92 80 | 99.91 95 | 97.08 249 | 99.84 135 | 99.40 210 |
|
MS-PatchMatch | | | 99.00 188 | 98.97 179 | 99.09 245 | 99.11 314 | 98.19 272 | 98.76 245 | 99.33 257 | 98.49 226 | 99.44 184 | 99.58 193 | 98.21 175 | 99.69 313 | 98.20 175 | 99.62 225 | 99.39 213 |
|
testus | | | 98.15 268 | 98.06 259 | 98.40 297 | 99.11 314 | 95.95 324 | 96.77 355 | 99.89 14 | 95.83 329 | 99.23 235 | 98.47 346 | 97.50 226 | 99.84 218 | 96.58 275 | 99.20 292 | 99.39 213 |
|
FMVSNet3 | | | 98.80 216 | 98.63 215 | 99.32 211 | 99.13 309 | 98.72 237 | 99.10 188 | 99.48 217 | 99.23 140 | 99.62 142 | 99.64 158 | 92.57 301 | 99.86 184 | 98.96 119 | 99.90 102 | 99.39 213 |
|
ambc | | | | | 99.20 235 | 99.35 265 | 98.53 246 | 99.17 166 | 99.46 224 | | 99.67 119 | 99.80 63 | 98.46 155 | 99.70 307 | 97.92 194 | 99.70 208 | 99.38 216 |
|
no-one | | | 99.28 120 | 99.23 120 | 99.45 176 | 99.87 31 | 99.08 205 | 98.95 219 | 99.52 206 | 98.88 184 | 99.77 87 | 99.83 51 | 97.78 209 | 99.90 114 | 98.46 155 | 99.99 20 | 99.38 216 |
|
FMVSNet5 | | | 97.80 278 | 97.25 289 | 99.42 183 | 98.83 336 | 98.97 214 | 99.38 97 | 99.80 59 | 98.87 185 | 99.25 231 | 99.69 126 | 80.60 368 | 99.91 95 | 98.96 119 | 99.90 102 | 99.38 216 |
|
PAPM_NR | | | 98.36 253 | 98.04 260 | 99.33 207 | 99.48 230 | 98.93 222 | 98.79 243 | 99.28 270 | 97.54 288 | 98.56 310 | 98.57 341 | 97.12 245 | 99.69 313 | 94.09 340 | 98.90 306 | 99.38 216 |
|
EPNet_dtu | | | 97.62 283 | 97.79 279 | 97.11 338 | 96.67 369 | 92.31 354 | 98.51 267 | 98.04 327 | 99.24 138 | 95.77 364 | 99.47 228 | 93.78 290 | 99.66 333 | 98.98 114 | 99.62 225 | 99.37 220 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
PHI-MVS | | | 99.11 168 | 98.95 182 | 99.59 130 | 99.13 309 | 99.59 91 | 99.17 166 | 99.65 135 | 97.88 269 | 99.25 231 | 99.46 231 | 98.97 74 | 99.80 267 | 97.26 236 | 99.82 154 | 99.37 220 |
|
PLC | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | 97.35 16 | 98.36 253 | 97.99 262 | 99.48 166 | 99.32 281 | 99.24 180 | 98.50 268 | 99.51 209 | 95.19 341 | 98.58 308 | 98.96 319 | 96.95 251 | 99.83 235 | 95.63 317 | 99.25 287 | 99.37 220 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
tttt0517 | | | 97.62 283 | 97.20 290 | 98.90 267 | 99.76 102 | 97.40 304 | 99.48 80 | 94.36 366 | 99.06 167 | 99.70 111 | 99.49 224 | 84.55 359 | 99.94 54 | 98.73 139 | 99.65 221 | 99.36 223 |
|
pmmvs-eth3d | | | 99.48 70 | 99.47 69 | 99.51 159 | 99.77 97 | 99.41 134 | 98.81 239 | 99.66 126 | 99.42 113 | 99.75 93 | 99.66 152 | 99.20 47 | 99.76 286 | 98.98 114 | 99.99 20 | 99.36 223 |
|
PVSNet_0 | | 95.53 19 | 95.85 336 | 95.31 335 | 97.47 330 | 98.78 343 | 93.48 350 | 95.72 360 | 99.40 241 | 96.18 324 | 97.37 353 | 97.73 359 | 95.73 274 | 99.58 350 | 95.49 320 | 81.40 365 | 99.36 223 |
|
lupinMVS | | | 98.96 194 | 98.87 193 | 99.24 230 | 99.57 188 | 98.40 255 | 98.12 301 | 99.18 284 | 98.28 250 | 99.63 135 | 99.13 289 | 98.02 190 | 99.97 16 | 98.22 173 | 99.69 209 | 99.35 226 |
|
Vis-MVSNet (Re-imp) | | | 98.77 219 | 98.58 219 | 99.34 205 | 99.78 87 | 98.88 227 | 99.61 61 | 99.56 183 | 99.11 158 | 99.24 234 | 99.56 203 | 93.00 299 | 99.78 278 | 97.43 226 | 99.89 108 | 99.35 226 |
|
GA-MVS | | | 97.99 276 | 97.68 283 | 98.93 261 | 99.52 209 | 98.04 283 | 97.19 351 | 99.05 294 | 98.32 248 | 98.81 285 | 98.97 317 | 89.89 330 | 99.41 360 | 98.33 164 | 99.05 297 | 99.34 228 |
|
CANet | | | 99.11 168 | 99.05 159 | 99.28 217 | 98.83 336 | 98.56 244 | 98.71 250 | 99.41 235 | 99.25 136 | 99.23 235 | 99.22 283 | 97.66 221 | 99.94 54 | 99.19 86 | 99.97 46 | 99.33 229 |
|
MVS_0304 | | | 99.17 154 | 99.10 145 | 99.38 196 | 99.08 317 | 98.86 230 | 98.46 275 | 99.73 92 | 99.53 90 | 99.35 212 | 99.30 263 | 97.11 246 | 99.96 33 | 99.33 68 | 99.99 20 | 99.33 229 |
|
casdiffmvs1 | | | 99.40 91 | 99.38 84 | 99.46 171 | 99.51 213 | 99.31 160 | 99.53 73 | 99.64 140 | 99.74 40 | 99.08 256 | 99.77 86 | 98.10 183 | 99.73 298 | 99.59 39 | 99.47 254 | 99.33 229 |
|
Patchmtry | | | 98.78 218 | 98.54 223 | 99.49 163 | 98.89 330 | 99.19 192 | 99.32 116 | 99.67 122 | 99.65 67 | 99.72 105 | 99.79 70 | 91.87 307 | 99.95 41 | 98.00 191 | 99.97 46 | 99.33 229 |
|
PAPR | | | 97.56 286 | 97.07 292 | 99.04 252 | 98.80 340 | 98.11 278 | 97.63 335 | 99.25 276 | 94.56 349 | 98.02 337 | 98.25 349 | 97.43 229 | 99.68 323 | 90.90 349 | 98.74 319 | 99.33 229 |
|
CHOSEN 280x420 | | | 98.41 249 | 98.41 233 | 98.40 297 | 99.34 275 | 95.89 329 | 96.94 353 | 99.44 229 | 98.80 194 | 99.25 231 | 99.52 214 | 93.51 292 | 99.98 7 | 98.94 124 | 99.98 36 | 99.32 234 |
|
TAPA-MVS | | 97.92 13 | 98.03 274 | 97.55 286 | 99.46 171 | 99.47 235 | 99.44 120 | 98.50 268 | 99.62 146 | 86.79 361 | 99.07 260 | 99.26 272 | 98.26 170 | 99.62 344 | 97.28 235 | 99.73 200 | 99.31 235 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
LCM-MVSNet-Re | | | 99.28 120 | 99.15 128 | 99.67 86 | 99.33 280 | 99.76 41 | 99.34 111 | 99.97 3 | 98.93 179 | 99.91 32 | 99.79 70 | 98.68 117 | 99.93 66 | 96.80 263 | 99.56 235 | 99.30 236 |
|
TSAR-MVS + GP. | | | 99.12 165 | 99.04 164 | 99.38 196 | 99.34 275 | 99.16 194 | 98.15 297 | 99.29 267 | 98.18 256 | 99.63 135 | 99.62 173 | 99.18 49 | 99.68 323 | 98.20 175 | 99.74 193 | 99.30 236 |
|
PVSNet_Blended | | | 98.70 225 | 98.59 217 | 99.02 254 | 99.54 203 | 97.99 284 | 97.58 338 | 99.82 47 | 95.70 333 | 99.34 216 | 98.98 314 | 98.52 148 | 99.77 284 | 97.98 192 | 99.83 145 | 99.30 236 |
|
MVS_111021_LR | | | 99.13 163 | 99.03 165 | 99.42 183 | 99.58 179 | 99.32 159 | 97.91 328 | 99.73 92 | 98.68 209 | 99.31 223 | 99.48 225 | 99.09 60 | 99.66 333 | 97.70 207 | 99.77 180 | 99.29 239 |
|
MVS | | | 95.72 338 | 94.63 341 | 98.99 255 | 98.56 352 | 97.98 289 | 99.30 126 | 98.86 299 | 72.71 366 | 97.30 354 | 99.08 296 | 98.34 164 | 99.74 296 | 89.21 354 | 98.33 341 | 99.26 240 |
|
MSLP-MVS++ | | | 99.05 176 | 99.09 147 | 98.91 262 | 99.21 297 | 98.36 259 | 98.82 238 | 99.47 221 | 98.85 187 | 98.90 279 | 99.56 203 | 98.78 100 | 99.09 362 | 98.57 149 | 99.68 211 | 99.26 240 |
|
0601test | | | 98.25 261 | 97.95 266 | 99.13 240 | 99.17 304 | 98.47 248 | 99.00 207 | 98.67 311 | 98.97 173 | 99.22 239 | 99.02 309 | 91.31 311 | 99.69 313 | 97.26 236 | 98.93 302 | 99.24 242 |
|
Anonymous20240521 | | | 98.25 261 | 97.95 266 | 99.13 240 | 99.17 304 | 98.47 248 | 99.00 207 | 98.67 311 | 98.97 173 | 99.22 239 | 99.02 309 | 91.31 311 | 99.69 313 | 97.26 236 | 98.93 302 | 99.24 242 |
|
CLD-MVS | | | 98.76 220 | 98.57 220 | 99.33 207 | 99.57 188 | 98.97 214 | 97.53 341 | 99.55 186 | 96.41 321 | 99.27 228 | 99.13 289 | 99.07 65 | 99.78 278 | 96.73 268 | 99.89 108 | 99.23 244 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
test_normal | | | 98.82 213 | 98.67 212 | 99.27 219 | 99.56 200 | 98.83 233 | 98.22 292 | 98.01 329 | 99.03 169 | 99.49 180 | 99.24 279 | 96.21 267 | 99.76 286 | 98.69 143 | 99.56 235 | 99.22 245 |
|
pmmvs4 | | | 99.13 163 | 99.06 155 | 99.36 203 | 99.57 188 | 99.10 202 | 98.01 313 | 99.25 276 | 98.78 197 | 99.58 151 | 99.44 233 | 98.24 171 | 99.76 286 | 98.74 138 | 99.93 87 | 99.22 245 |
|
OMC-MVS | | | 98.90 203 | 98.72 208 | 99.44 178 | 99.39 257 | 99.42 130 | 98.58 256 | 99.64 140 | 97.31 298 | 99.44 184 | 99.62 173 | 98.59 134 | 99.69 313 | 96.17 290 | 99.79 170 | 99.22 245 |
|
CMPMVS | ![Method available as binary. binary](img/icon_binary.png) | 77.52 23 | 98.50 239 | 98.19 253 | 99.41 190 | 98.33 357 | 99.56 96 | 99.01 205 | 99.59 169 | 95.44 336 | 99.57 153 | 99.80 63 | 95.64 275 | 99.46 359 | 96.47 281 | 99.92 90 | 99.21 248 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
Effi-MVS+ | | | 99.06 173 | 98.97 179 | 99.34 205 | 99.31 282 | 98.98 212 | 98.31 287 | 99.91 10 | 98.81 192 | 98.79 288 | 98.94 322 | 99.14 53 | 99.84 218 | 98.79 133 | 98.74 319 | 99.20 249 |
|
casdiffmvs | | | 99.24 130 | 99.23 120 | 99.26 224 | 99.42 250 | 98.85 232 | 99.48 80 | 99.58 177 | 99.67 59 | 98.70 297 | 99.67 146 | 97.85 203 | 99.72 300 | 99.41 60 | 99.28 282 | 99.20 249 |
|
DELS-MVS | | | 99.34 109 | 99.30 104 | 99.48 166 | 99.51 213 | 99.36 150 | 98.12 301 | 99.53 196 | 99.36 120 | 99.41 196 | 99.61 182 | 99.22 46 | 99.87 163 | 99.21 83 | 99.68 211 | 99.20 249 |
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 |
CANet_DTU | | | 98.91 201 | 98.85 195 | 99.09 245 | 98.79 341 | 98.13 275 | 98.18 294 | 99.31 263 | 99.48 95 | 98.86 282 | 99.51 218 | 96.56 257 | 99.95 41 | 99.05 108 | 99.95 66 | 99.19 252 |
|
alignmvs | | | 98.28 260 | 97.96 265 | 99.25 228 | 99.12 311 | 98.93 222 | 99.03 202 | 98.42 322 | 99.64 69 | 98.72 295 | 97.85 353 | 90.86 319 | 99.62 344 | 98.88 128 | 99.13 293 | 99.19 252 |
|
Test4 | | | 98.65 227 | 98.44 228 | 99.27 219 | 99.57 188 | 98.86 230 | 98.43 278 | 99.41 235 | 98.85 187 | 99.57 153 | 98.95 321 | 93.05 297 | 99.75 292 | 98.57 149 | 99.56 235 | 99.19 252 |
|
PNet_i23d | | | 97.02 304 | 97.87 275 | 94.49 352 | 99.69 143 | 84.81 371 | 95.18 364 | 99.85 28 | 97.83 275 | 99.32 220 | 99.57 199 | 95.53 278 | 99.47 356 | 96.09 291 | 97.74 355 | 99.18 255 |
|
MSDG | | | 99.08 171 | 98.98 178 | 99.37 200 | 99.60 173 | 99.13 197 | 97.54 339 | 99.74 89 | 98.84 190 | 99.53 172 | 99.55 208 | 99.10 58 | 99.79 270 | 97.07 250 | 99.86 128 | 99.18 255 |
|
PM-MVS | | | 99.36 102 | 99.29 109 | 99.58 134 | 99.83 45 | 99.66 71 | 98.95 219 | 99.86 21 | 98.85 187 | 99.81 71 | 99.73 100 | 98.40 161 | 99.92 85 | 98.36 161 | 99.83 145 | 99.17 257 |
|
thisisatest0530 | | | 97.45 287 | 96.95 297 | 98.94 258 | 99.68 150 | 97.73 292 | 99.09 192 | 94.19 368 | 98.61 216 | 99.56 161 | 99.30 263 | 84.30 360 | 99.93 66 | 98.27 170 | 99.54 246 | 99.16 258 |
|
PatchmatchNet | ![Method available under a permissive open source license. permissive](img/icon_permissive.png) | | 97.65 282 | 97.80 277 | 97.18 336 | 98.82 339 | 92.49 353 | 99.17 166 | 98.39 323 | 98.12 257 | 98.79 288 | 99.58 193 | 90.71 321 | 99.89 128 | 97.23 240 | 99.41 267 | 99.16 258 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
tfpnnormal | | | 99.43 81 | 99.38 84 | 99.60 128 | 99.87 31 | 99.75 43 | 99.59 66 | 99.78 69 | 99.71 48 | 99.90 34 | 99.69 126 | 98.85 88 | 99.90 114 | 97.25 239 | 99.78 176 | 99.15 260 |
|
mvs_anonymous | | | 99.28 120 | 99.39 82 | 98.94 258 | 99.19 301 | 97.81 291 | 99.02 203 | 99.55 186 | 99.78 34 | 99.85 57 | 99.80 63 | 98.24 171 | 99.86 184 | 99.57 43 | 99.50 250 | 99.15 260 |
|
ab-mvs | | | 99.33 113 | 99.28 111 | 99.47 168 | 99.57 188 | 99.39 138 | 99.78 12 | 99.43 232 | 98.87 185 | 99.57 153 | 99.82 58 | 98.06 187 | 99.87 163 | 98.69 143 | 99.73 200 | 99.15 260 |
|
MIMVSNet | | | 98.43 246 | 98.20 250 | 99.11 242 | 99.53 206 | 98.38 258 | 99.58 68 | 98.61 313 | 98.96 175 | 99.33 218 | 99.76 90 | 90.92 316 | 99.81 262 | 97.38 229 | 99.76 182 | 99.15 260 |
|
GSMVS | | | | | | | | | | | | | | | | | 99.14 264 |
|
sam_mvs1 | | | | | | | | | | | | | 90.81 320 | | | | 99.14 264 |
|
DI_MVS_plusplus_test | | | 98.80 216 | 98.65 213 | 99.27 219 | 99.57 188 | 98.90 225 | 98.44 277 | 97.95 332 | 99.02 170 | 99.51 176 | 99.23 282 | 96.18 269 | 99.76 286 | 98.52 153 | 99.42 265 | 99.14 264 |
|
diffmvs1 | | | 99.34 109 | 99.35 93 | 99.32 211 | 99.42 250 | 98.94 217 | 99.22 151 | 99.77 72 | 99.61 77 | 98.78 290 | 99.67 146 | 98.77 103 | 99.90 114 | 99.30 74 | 99.59 231 | 99.13 267 |
|
LS3D | | | 99.24 130 | 99.11 138 | 99.61 122 | 98.38 356 | 99.79 32 | 99.57 69 | 99.68 117 | 99.61 77 | 99.15 249 | 99.71 113 | 98.70 113 | 99.91 95 | 97.54 220 | 99.68 211 | 99.13 267 |
|
Patchmatch-test1 | | | 98.13 269 | 98.40 234 | 97.31 335 | 99.20 300 | 92.99 351 | 98.17 296 | 98.49 319 | 98.24 252 | 99.10 255 | 99.52 214 | 96.01 272 | 99.83 235 | 97.22 241 | 99.62 225 | 99.12 269 |
|
Patchmatch-RL test | | | 98.60 230 | 98.36 239 | 99.33 207 | 99.77 97 | 99.07 207 | 98.27 288 | 99.87 19 | 98.91 182 | 99.74 101 | 99.72 106 | 90.57 323 | 99.79 270 | 98.55 151 | 99.85 131 | 99.11 270 |
|
test2356 | | | 95.99 334 | 95.26 337 | 98.18 306 | 96.93 368 | 95.53 337 | 95.31 362 | 98.71 308 | 95.67 334 | 98.48 315 | 97.83 354 | 80.72 366 | 99.88 143 | 95.47 322 | 98.21 343 | 99.11 270 |
|
test1235678 | | | 98.93 200 | 98.84 197 | 99.19 236 | 99.46 239 | 98.55 245 | 97.53 341 | 99.77 72 | 98.76 201 | 99.69 114 | 99.48 225 | 96.69 254 | 99.90 114 | 98.30 167 | 99.91 100 | 99.11 270 |
|
test_0402 | | | 99.22 140 | 99.14 129 | 99.45 176 | 99.79 81 | 99.43 126 | 99.28 135 | 99.68 117 | 99.54 88 | 99.40 200 | 99.56 203 | 99.07 65 | 99.82 243 | 96.01 297 | 99.96 58 | 99.11 270 |
|
MVS_Test | | | 99.28 120 | 99.31 99 | 99.19 236 | 99.35 265 | 98.79 236 | 99.36 103 | 99.49 216 | 99.17 151 | 99.21 241 | 99.67 146 | 98.78 100 | 99.66 333 | 99.09 105 | 99.66 219 | 99.10 274 |
|
AdaColmap | ![Method available as binary. binary](img/icon_binary.png) | | 98.60 230 | 98.35 240 | 99.38 196 | 99.12 311 | 99.22 184 | 98.67 251 | 99.42 234 | 97.84 274 | 98.81 285 | 99.27 270 | 97.32 236 | 99.81 262 | 95.14 328 | 99.53 247 | 99.10 274 |
|
FPMVS | | | 96.32 326 | 95.50 333 | 98.79 276 | 99.60 173 | 98.17 274 | 98.46 275 | 98.80 303 | 97.16 302 | 96.28 360 | 99.63 166 | 82.19 363 | 99.09 362 | 88.45 356 | 98.89 307 | 99.10 274 |
|
Patchmatch-test | | | 98.10 271 | 97.98 264 | 98.48 294 | 99.27 291 | 96.48 316 | 99.40 90 | 99.07 291 | 98.81 192 | 99.23 235 | 99.57 199 | 90.11 327 | 99.87 163 | 96.69 269 | 99.64 223 | 99.09 277 |
|
tpm | | | 97.15 301 | 96.95 297 | 97.75 323 | 98.91 325 | 94.24 347 | 99.32 116 | 97.96 330 | 97.71 279 | 98.29 321 | 99.32 258 | 86.72 346 | 99.92 85 | 98.10 186 | 96.24 362 | 99.09 277 |
|
PMMVS | | | 98.49 241 | 98.29 244 | 99.11 242 | 98.96 323 | 98.42 253 | 97.54 339 | 99.32 259 | 97.53 289 | 98.47 316 | 98.15 350 | 97.88 201 | 99.82 243 | 97.46 224 | 99.24 289 | 99.09 277 |
|
ADS-MVSNet2 | | | 97.78 279 | 97.66 285 | 98.12 309 | 99.14 307 | 95.36 338 | 99.22 151 | 98.75 305 | 96.97 307 | 98.25 324 | 99.64 158 | 90.90 317 | 99.94 54 | 96.51 278 | 99.56 235 | 99.08 280 |
|
ADS-MVSNet | | | 97.72 281 | 97.67 284 | 97.86 319 | 99.14 307 | 94.65 345 | 99.22 151 | 98.86 299 | 96.97 307 | 98.25 324 | 99.64 158 | 90.90 317 | 99.84 218 | 96.51 278 | 99.56 235 | 99.08 280 |
|
pmmvs3 | | | 98.08 272 | 97.80 277 | 98.91 262 | 99.41 253 | 97.69 296 | 97.87 329 | 99.66 126 | 95.87 328 | 99.50 178 | 99.51 218 | 90.35 325 | 99.97 16 | 98.55 151 | 99.47 254 | 99.08 280 |
|
PVSNet | | 97.47 15 | 98.42 248 | 98.44 228 | 98.35 299 | 99.46 239 | 96.26 319 | 96.70 357 | 99.34 256 | 97.68 281 | 99.00 264 | 99.13 289 | 97.40 230 | 99.72 300 | 97.59 218 | 99.68 211 | 99.08 280 |
|
MVS-HIRNet | | | 97.86 277 | 98.22 248 | 96.76 339 | 99.28 289 | 91.53 361 | 98.38 281 | 92.60 369 | 99.13 156 | 99.31 223 | 99.96 10 | 97.18 244 | 99.68 323 | 98.34 163 | 99.83 145 | 99.07 284 |
|
PMVS | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | 92.94 21 | 98.82 213 | 98.81 202 | 98.85 269 | 99.84 41 | 97.99 284 | 99.20 156 | 99.47 221 | 99.71 48 | 99.42 190 | 99.82 58 | 98.09 184 | 99.47 356 | 93.88 342 | 99.85 131 | 99.07 284 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
Gipuma | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | 99.57 47 | 99.59 42 | 99.49 163 | 99.98 3 | 99.71 53 | 99.72 25 | 99.84 36 | 99.81 28 | 99.94 20 | 99.78 79 | 98.91 82 | 99.71 306 | 98.41 157 | 99.95 66 | 99.05 286 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
canonicalmvs | | | 99.02 181 | 99.00 171 | 99.09 245 | 99.10 316 | 98.70 238 | 99.61 61 | 99.66 126 | 99.63 72 | 98.64 303 | 97.65 360 | 99.04 69 | 99.54 352 | 98.79 133 | 98.92 304 | 99.04 287 |
|
MDTV_nov1_ep13_2view | | | | | | | 91.44 362 | 99.14 179 | | 97.37 296 | 99.21 241 | | 91.78 309 | | 96.75 266 | | 99.03 288 |
|
ITE_SJBPF | | | | | 99.38 196 | 99.63 164 | 99.44 120 | | 99.73 92 | 98.56 219 | 99.33 218 | 99.53 212 | 98.88 86 | 99.68 323 | 96.01 297 | 99.65 221 | 99.02 289 |
|
UnsupCasMVSNet_bld | | | 98.55 236 | 98.27 245 | 99.40 191 | 99.56 200 | 99.37 147 | 97.97 321 | 99.68 117 | 97.49 290 | 99.08 256 | 99.35 254 | 95.41 279 | 99.82 243 | 97.70 207 | 98.19 346 | 99.01 290 |
|
diffmvs | | | 99.17 154 | 99.19 125 | 99.10 244 | 99.36 264 | 98.41 254 | 99.24 144 | 99.68 117 | 99.46 103 | 98.30 320 | 99.68 139 | 98.49 152 | 99.91 95 | 99.10 104 | 99.43 264 | 98.98 291 |
|
CNLPA | | | 98.57 233 | 98.34 241 | 99.28 217 | 99.18 303 | 99.10 202 | 98.34 284 | 99.41 235 | 98.48 227 | 98.52 311 | 98.98 314 | 97.05 248 | 99.78 278 | 95.59 318 | 99.50 250 | 98.96 292 |
|
new_pmnet | | | 98.88 207 | 98.89 191 | 98.84 271 | 99.70 141 | 97.62 298 | 98.15 297 | 99.50 212 | 97.98 264 | 99.62 142 | 99.54 210 | 98.15 181 | 99.94 54 | 97.55 219 | 99.84 135 | 98.95 293 |
|
PCF-MVS | | 96.03 18 | 96.73 316 | 95.86 328 | 99.33 207 | 99.44 244 | 99.16 194 | 96.87 354 | 99.44 229 | 86.58 362 | 98.95 272 | 99.40 239 | 94.38 286 | 99.88 143 | 87.93 358 | 99.80 167 | 98.95 293 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
PatchMatch-RL | | | 98.68 226 | 98.47 225 | 99.30 216 | 99.44 244 | 99.28 167 | 98.14 299 | 99.54 191 | 97.12 305 | 99.11 254 | 99.25 274 | 97.80 207 | 99.70 307 | 96.51 278 | 99.30 280 | 98.93 295 |
|
Fast-Effi-MVS+ | | | 99.02 181 | 98.87 193 | 99.46 171 | 99.38 260 | 99.50 103 | 99.04 200 | 99.79 67 | 97.17 301 | 98.62 304 | 98.74 336 | 99.34 33 | 99.95 41 | 98.32 165 | 99.41 267 | 98.92 296 |
|
LP | | | 98.34 258 | 98.44 228 | 98.05 310 | 98.88 333 | 95.31 340 | 99.28 135 | 98.74 306 | 99.12 157 | 98.98 265 | 99.79 70 | 93.40 293 | 99.93 66 | 98.38 159 | 99.41 267 | 98.90 297 |
|
CostFormer | | | 96.71 317 | 96.79 304 | 96.46 346 | 98.90 326 | 90.71 365 | 99.41 88 | 98.68 309 | 94.69 348 | 98.14 332 | 99.34 257 | 86.32 354 | 99.80 267 | 97.60 217 | 98.07 349 | 98.88 298 |
|
DP-MVS Recon | | | 98.50 239 | 98.23 247 | 99.31 214 | 99.49 224 | 99.46 113 | 98.56 260 | 99.63 143 | 94.86 345 | 98.85 283 | 99.37 244 | 97.81 206 | 99.59 349 | 96.08 292 | 99.44 258 | 98.88 298 |
|
test0.0.03 1 | | | 97.37 290 | 96.91 300 | 98.74 283 | 97.72 363 | 97.57 299 | 97.60 337 | 97.36 348 | 98.00 261 | 99.21 241 | 98.02 351 | 90.04 328 | 99.79 270 | 98.37 160 | 95.89 363 | 98.86 300 |
|
BH-untuned | | | 98.22 266 | 98.09 257 | 98.58 288 | 99.38 260 | 97.24 307 | 98.55 261 | 98.98 297 | 97.81 276 | 99.20 246 | 98.76 334 | 97.01 249 | 99.65 340 | 94.83 331 | 98.33 341 | 98.86 300 |
|
HY-MVS | | 98.23 9 | 98.21 267 | 97.95 266 | 98.99 255 | 99.03 322 | 98.24 268 | 99.61 61 | 98.72 307 | 96.81 311 | 98.73 294 | 99.51 218 | 94.06 288 | 99.86 184 | 96.91 256 | 98.20 344 | 98.86 300 |
|
Effi-MVS+-dtu | | | 99.07 172 | 98.92 186 | 99.52 156 | 98.89 330 | 99.78 34 | 99.15 174 | 99.66 126 | 99.34 121 | 98.92 276 | 99.24 279 | 97.69 214 | 99.98 7 | 98.11 184 | 99.28 282 | 98.81 303 |
|
EPMVS | | | 96.53 320 | 96.32 318 | 97.17 337 | 98.18 360 | 92.97 352 | 99.39 91 | 89.95 371 | 98.21 254 | 98.61 305 | 99.59 191 | 86.69 347 | 99.72 300 | 96.99 253 | 99.23 291 | 98.81 303 |
|
MVE | ![Method available under a permissive open source license. permissive](img/icon_permissive.png) | 92.54 22 | 96.66 318 | 96.11 322 | 98.31 302 | 99.68 150 | 97.55 300 | 97.94 324 | 95.60 361 | 99.37 118 | 90.68 368 | 98.70 337 | 96.56 257 | 98.61 366 | 86.94 364 | 99.55 241 | 98.77 305 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
tpm2 | | | 96.35 325 | 96.22 319 | 96.73 341 | 98.88 333 | 91.75 359 | 99.21 155 | 98.51 317 | 93.27 354 | 97.89 341 | 99.21 284 | 84.83 358 | 99.70 307 | 96.04 295 | 98.18 347 | 98.75 306 |
|
LF4IMVS | | | 99.01 185 | 98.92 186 | 99.27 219 | 99.71 134 | 99.28 167 | 98.59 255 | 99.77 72 | 98.32 248 | 99.39 201 | 99.41 238 | 98.62 130 | 99.84 218 | 96.62 274 | 99.84 135 | 98.69 307 |
|
thisisatest0515 | | | 96.98 306 | 96.42 317 | 98.66 286 | 99.42 250 | 97.47 301 | 97.27 349 | 94.30 367 | 97.24 300 | 99.15 249 | 98.86 328 | 85.01 357 | 99.87 163 | 97.10 248 | 99.39 270 | 98.63 308 |
|
Fast-Effi-MVS+-dtu | | | 99.20 145 | 99.12 135 | 99.43 181 | 99.25 292 | 99.69 64 | 99.05 198 | 99.82 47 | 99.50 93 | 98.97 266 | 99.05 305 | 98.98 72 | 99.98 7 | 98.20 175 | 99.24 289 | 98.62 309 |
|
PAPM | | | 95.61 339 | 94.71 340 | 98.31 302 | 99.12 311 | 96.63 314 | 96.66 358 | 98.46 320 | 90.77 359 | 96.25 361 | 98.68 338 | 93.01 298 | 99.69 313 | 81.60 365 | 97.86 354 | 98.62 309 |
|
JIA-IIPM | | | 98.06 273 | 97.92 270 | 98.50 293 | 98.59 351 | 97.02 310 | 98.80 240 | 98.51 317 | 99.88 12 | 97.89 341 | 99.87 37 | 91.89 306 | 99.90 114 | 98.16 182 | 97.68 356 | 98.59 311 |
|
dp | | | 96.86 310 | 97.07 292 | 96.24 349 | 98.68 350 | 90.30 368 | 99.19 158 | 98.38 324 | 97.35 297 | 98.23 326 | 99.59 191 | 87.23 338 | 99.82 243 | 96.27 287 | 98.73 321 | 98.59 311 |
|
OpenMVS | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | 98.12 10 | 98.23 265 | 97.89 274 | 99.26 224 | 99.19 301 | 99.26 173 | 99.65 54 | 99.69 114 | 91.33 358 | 98.14 332 | 99.77 86 | 98.28 168 | 99.96 33 | 95.41 324 | 99.55 241 | 98.58 313 |
|
DWT-MVSNet_test | | | 96.03 333 | 95.80 330 | 96.71 343 | 98.50 354 | 91.93 356 | 99.25 143 | 97.87 334 | 95.99 326 | 96.81 358 | 97.61 361 | 81.02 365 | 99.66 333 | 97.20 244 | 97.98 352 | 98.54 314 |
|
TESTMET0.1,1 | | | 96.24 328 | 95.84 329 | 97.41 332 | 98.24 358 | 93.84 348 | 97.38 344 | 95.84 354 | 98.43 229 | 97.81 345 | 98.56 342 | 79.77 369 | 99.89 128 | 97.77 203 | 98.77 315 | 98.52 315 |
|
xiu_mvs_v1_base_debu | | | 99.23 132 | 99.34 94 | 98.91 262 | 99.59 176 | 98.23 269 | 98.47 271 | 99.66 126 | 99.61 77 | 99.68 116 | 98.94 322 | 99.39 23 | 99.97 16 | 99.18 88 | 99.55 241 | 98.51 316 |
|
xiu_mvs_v1_base | | | 99.23 132 | 99.34 94 | 98.91 262 | 99.59 176 | 98.23 269 | 98.47 271 | 99.66 126 | 99.61 77 | 99.68 116 | 98.94 322 | 99.39 23 | 99.97 16 | 99.18 88 | 99.55 241 | 98.51 316 |
|
xiu_mvs_v1_base_debi | | | 99.23 132 | 99.34 94 | 98.91 262 | 99.59 176 | 98.23 269 | 98.47 271 | 99.66 126 | 99.61 77 | 99.68 116 | 98.94 322 | 99.39 23 | 99.97 16 | 99.18 88 | 99.55 241 | 98.51 316 |
|
CR-MVSNet | | | 98.35 256 | 98.20 250 | 98.83 273 | 99.05 320 | 98.12 276 | 99.30 126 | 99.67 122 | 97.39 295 | 99.16 247 | 99.79 70 | 91.87 307 | 99.91 95 | 98.78 136 | 98.77 315 | 98.44 319 |
|
RPMNet | | | 98.53 237 | 98.44 228 | 98.83 273 | 99.05 320 | 98.12 276 | 99.30 126 | 98.78 304 | 99.86 15 | 99.16 247 | 99.74 96 | 92.53 303 | 99.91 95 | 98.75 137 | 98.77 315 | 98.44 319 |
|
tpmrst | | | 97.73 280 | 98.07 258 | 96.73 341 | 98.71 348 | 92.00 355 | 99.10 188 | 98.86 299 | 98.52 223 | 98.92 276 | 99.54 210 | 91.90 305 | 99.82 243 | 98.02 188 | 99.03 299 | 98.37 321 |
|
tpmp4_e23 | | | 96.11 330 | 96.06 323 | 96.27 347 | 98.90 326 | 90.70 366 | 99.34 111 | 99.03 295 | 93.72 352 | 96.56 359 | 99.31 260 | 83.63 361 | 99.75 292 | 96.06 294 | 98.02 351 | 98.35 322 |
|
tfpn1000 | | | 97.28 293 | 96.83 302 | 98.64 287 | 99.67 155 | 97.68 297 | 99.41 88 | 95.47 362 | 97.14 303 | 99.43 188 | 99.07 303 | 85.87 355 | 99.88 143 | 96.78 264 | 98.67 323 | 98.34 323 |
|
test-LLR | | | 97.15 301 | 96.95 297 | 97.74 324 | 98.18 360 | 95.02 342 | 97.38 344 | 96.10 351 | 98.00 261 | 97.81 345 | 98.58 339 | 90.04 328 | 99.91 95 | 97.69 212 | 98.78 313 | 98.31 324 |
|
test-mter | | | 96.23 329 | 95.73 331 | 97.74 324 | 98.18 360 | 95.02 342 | 97.38 344 | 96.10 351 | 97.90 268 | 97.81 345 | 98.58 339 | 79.12 370 | 99.91 95 | 97.69 212 | 98.78 313 | 98.31 324 |
|
PatchT | | | 98.45 245 | 98.32 243 | 98.83 273 | 98.94 324 | 98.29 267 | 99.24 144 | 98.82 302 | 99.84 22 | 99.08 256 | 99.76 90 | 91.37 310 | 99.94 54 | 98.82 132 | 99.00 301 | 98.26 326 |
|
PatchFormer-LS_test | | | 96.95 308 | 97.07 292 | 96.62 344 | 98.76 345 | 91.85 357 | 99.18 159 | 98.45 321 | 97.29 299 | 97.73 351 | 97.22 369 | 88.77 332 | 99.76 286 | 98.13 183 | 98.04 350 | 98.25 327 |
|
xiu_mvs_v2_base | | | 99.02 181 | 99.11 138 | 98.77 277 | 99.37 262 | 98.09 280 | 98.13 300 | 99.51 209 | 99.47 99 | 99.42 190 | 98.54 343 | 99.38 27 | 99.97 16 | 98.83 130 | 99.33 277 | 98.24 328 |
|
IB-MVS | | 95.41 20 | 95.30 340 | 94.46 342 | 97.84 320 | 98.76 345 | 95.33 339 | 97.33 347 | 96.07 353 | 96.02 325 | 95.37 366 | 97.41 363 | 76.17 371 | 99.96 33 | 97.54 220 | 95.44 364 | 98.22 329 |
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 |
tpm cat1 | | | 96.78 315 | 96.98 296 | 96.16 350 | 98.85 335 | 90.59 367 | 99.08 195 | 99.32 259 | 92.37 355 | 97.73 351 | 99.46 231 | 91.15 313 | 99.69 313 | 96.07 293 | 98.80 312 | 98.21 330 |
|
MAR-MVS | | | 98.24 263 | 97.92 270 | 99.19 236 | 98.78 343 | 99.65 76 | 99.17 166 | 99.14 288 | 95.36 337 | 98.04 336 | 98.81 331 | 97.47 227 | 99.72 300 | 95.47 322 | 99.06 296 | 98.21 330 |
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 |
PS-MVSNAJ | | | 99.00 188 | 99.08 149 | 98.76 278 | 99.37 262 | 98.10 279 | 98.00 315 | 99.51 209 | 99.47 99 | 99.41 196 | 98.50 345 | 99.28 38 | 99.97 16 | 98.83 130 | 99.34 275 | 98.20 332 |
|
cascas | | | 96.99 305 | 96.82 303 | 97.48 329 | 97.57 366 | 95.64 335 | 96.43 359 | 99.56 183 | 91.75 356 | 97.13 357 | 97.61 361 | 95.58 277 | 98.63 365 | 96.68 270 | 99.11 294 | 98.18 333 |
|
BH-w/o | | | 97.20 298 | 97.01 295 | 97.76 322 | 99.08 317 | 95.69 334 | 98.03 312 | 98.52 316 | 95.76 332 | 97.96 338 | 98.02 351 | 95.62 276 | 99.47 356 | 92.82 344 | 97.25 358 | 98.12 334 |
|
tpmvs | | | 97.39 289 | 97.69 282 | 96.52 345 | 98.41 355 | 91.76 358 | 99.30 126 | 98.94 298 | 97.74 277 | 97.85 344 | 99.55 208 | 92.40 304 | 99.73 298 | 96.25 288 | 98.73 321 | 98.06 335 |
|
mvs-test1 | | | 98.83 211 | 98.70 209 | 99.22 232 | 98.89 330 | 99.65 76 | 98.88 226 | 99.66 126 | 99.34 121 | 98.29 321 | 98.94 322 | 97.69 214 | 99.96 33 | 98.11 184 | 98.54 335 | 98.04 336 |
|
thresconf0.02 | | | 97.25 294 | 96.74 305 | 98.75 279 | 99.73 120 | 98.35 260 | 99.35 104 | 95.78 355 | 96.54 314 | 99.39 201 | 99.08 296 | 86.57 348 | 99.88 143 | 95.69 311 | 98.57 327 | 98.02 337 |
|
tfpn_n400 | | | 97.25 294 | 96.74 305 | 98.75 279 | 99.73 120 | 98.35 260 | 99.35 104 | 95.78 355 | 96.54 314 | 99.39 201 | 99.08 296 | 86.57 348 | 99.88 143 | 95.69 311 | 98.57 327 | 98.02 337 |
|
tfpnconf | | | 97.25 294 | 96.74 305 | 98.75 279 | 99.73 120 | 98.35 260 | 99.35 104 | 95.78 355 | 96.54 314 | 99.39 201 | 99.08 296 | 86.57 348 | 99.88 143 | 95.69 311 | 98.57 327 | 98.02 337 |
|
tfpnview11 | | | 97.25 294 | 96.74 305 | 98.75 279 | 99.73 120 | 98.35 260 | 99.35 104 | 95.78 355 | 96.54 314 | 99.39 201 | 99.08 296 | 86.57 348 | 99.88 143 | 95.69 311 | 98.57 327 | 98.02 337 |
|
view600 | | | 96.86 310 | 96.52 312 | 97.88 315 | 99.69 143 | 95.87 330 | 99.39 91 | 97.68 336 | 99.11 158 | 98.96 268 | 97.82 355 | 87.40 334 | 99.79 270 | 89.78 350 | 98.83 308 | 97.98 341 |
|
view800 | | | 96.86 310 | 96.52 312 | 97.88 315 | 99.69 143 | 95.87 330 | 99.39 91 | 97.68 336 | 99.11 158 | 98.96 268 | 97.82 355 | 87.40 334 | 99.79 270 | 89.78 350 | 98.83 308 | 97.98 341 |
|
conf0.05thres1000 | | | 96.86 310 | 96.52 312 | 97.88 315 | 99.69 143 | 95.87 330 | 99.39 91 | 97.68 336 | 99.11 158 | 98.96 268 | 97.82 355 | 87.40 334 | 99.79 270 | 89.78 350 | 98.83 308 | 97.98 341 |
|
tfpn | | | 96.86 310 | 96.52 312 | 97.88 315 | 99.69 143 | 95.87 330 | 99.39 91 | 97.68 336 | 99.11 158 | 98.96 268 | 97.82 355 | 87.40 334 | 99.79 270 | 89.78 350 | 98.83 308 | 97.98 341 |
|
thres600view7 | | | 96.60 319 | 96.16 320 | 97.93 313 | 99.63 164 | 96.09 323 | 99.18 159 | 97.57 341 | 98.77 198 | 98.72 295 | 97.32 364 | 87.04 339 | 99.72 300 | 88.57 355 | 98.62 325 | 97.98 341 |
|
thres400 | | | 96.40 323 | 95.89 326 | 97.92 314 | 99.58 179 | 96.11 321 | 99.00 207 | 97.54 346 | 98.43 229 | 98.52 311 | 96.98 370 | 86.85 343 | 99.67 328 | 87.62 359 | 98.51 336 | 97.98 341 |
|
TR-MVS | | | 97.44 288 | 97.15 291 | 98.32 301 | 98.53 353 | 97.46 302 | 98.47 271 | 97.91 333 | 96.85 309 | 98.21 327 | 98.51 344 | 96.42 263 | 99.51 354 | 92.16 345 | 97.29 357 | 97.98 341 |
|
1314 | | | 98.00 275 | 97.90 273 | 98.27 304 | 98.90 326 | 97.45 303 | 99.30 126 | 99.06 293 | 94.98 342 | 97.21 356 | 99.12 293 | 98.43 157 | 99.67 328 | 95.58 319 | 98.56 334 | 97.71 348 |
|
tfpn_ndepth | | | 96.93 309 | 96.43 316 | 98.42 295 | 99.60 173 | 97.72 293 | 99.22 151 | 95.16 363 | 95.91 327 | 99.26 230 | 98.79 332 | 85.56 356 | 99.87 163 | 96.03 296 | 98.35 340 | 97.68 349 |
|
E-PMN | | | 97.14 303 | 97.43 287 | 96.27 347 | 98.79 341 | 91.62 360 | 95.54 361 | 99.01 296 | 99.44 106 | 98.88 280 | 99.12 293 | 92.78 300 | 99.68 323 | 94.30 337 | 99.03 299 | 97.50 350 |
|
gg-mvs-nofinetune | | | 95.87 335 | 95.17 338 | 97.97 312 | 98.19 359 | 96.95 311 | 99.69 38 | 89.23 372 | 99.89 10 | 96.24 362 | 99.94 12 | 81.19 364 | 99.51 354 | 93.99 341 | 98.20 344 | 97.44 351 |
|
DeepMVS_CX | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | | | 97.98 311 | 99.69 143 | 96.95 311 | | 99.26 273 | 75.51 365 | 95.74 365 | 98.28 348 | 96.47 261 | 99.62 344 | 91.23 348 | 97.89 353 | 97.38 352 |
|
OpenMVS_ROB | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | 97.31 17 | 97.36 291 | 96.84 301 | 98.89 268 | 99.29 287 | 99.45 118 | 98.87 228 | 99.48 217 | 86.54 363 | 99.44 184 | 99.74 96 | 97.34 235 | 99.86 184 | 91.61 346 | 99.28 282 | 97.37 353 |
|
tfpn111 | | | 96.50 321 | 96.12 321 | 97.65 326 | 99.63 164 | 95.93 325 | 99.18 159 | 97.57 341 | 98.75 203 | 98.70 297 | 97.31 365 | 87.04 339 | 99.72 300 | 88.27 357 | 98.61 326 | 97.30 354 |
|
conf0.01 | | | 97.19 299 | 96.74 305 | 98.51 290 | 99.73 120 | 98.35 260 | 99.35 104 | 95.78 355 | 96.54 314 | 99.39 201 | 99.08 296 | 86.57 348 | 99.88 143 | 95.69 311 | 98.57 327 | 97.30 354 |
|
conf0.002 | | | 97.19 299 | 96.74 305 | 98.51 290 | 99.73 120 | 98.35 260 | 99.35 104 | 95.78 355 | 96.54 314 | 99.39 201 | 99.08 296 | 86.57 348 | 99.88 143 | 95.69 311 | 98.57 327 | 97.30 354 |
|
conf200view11 | | | 96.43 322 | 96.03 324 | 97.63 327 | 99.63 164 | 95.93 325 | 99.18 159 | 97.57 341 | 98.75 203 | 98.70 297 | 97.31 365 | 87.04 339 | 99.67 328 | 87.62 359 | 98.51 336 | 97.30 354 |
|
EMVS | | | 96.96 307 | 97.28 288 | 95.99 351 | 98.76 345 | 91.03 363 | 95.26 363 | 98.61 313 | 99.34 121 | 98.92 276 | 98.88 327 | 93.79 289 | 99.66 333 | 92.87 343 | 99.05 297 | 97.30 354 |
|
thres100view900 | | | 96.39 324 | 96.03 324 | 97.47 330 | 99.63 164 | 95.93 325 | 99.18 159 | 97.57 341 | 98.75 203 | 98.70 297 | 97.31 365 | 87.04 339 | 99.67 328 | 87.62 359 | 98.51 336 | 96.81 359 |
|
tfpn200view9 | | | 96.30 327 | 95.89 326 | 97.53 328 | 99.58 179 | 96.11 321 | 99.00 207 | 97.54 346 | 98.43 229 | 98.52 311 | 96.98 370 | 86.85 343 | 99.67 328 | 87.62 359 | 98.51 336 | 96.81 359 |
|
API-MVS | | | 98.38 252 | 98.39 235 | 98.35 299 | 98.83 336 | 99.26 173 | 99.14 179 | 99.18 284 | 98.59 217 | 98.66 302 | 98.78 333 | 98.61 132 | 99.57 351 | 94.14 339 | 99.56 235 | 96.21 361 |
|
thres200 | | | 96.09 331 | 95.68 332 | 97.33 334 | 99.48 230 | 96.22 320 | 98.53 265 | 97.57 341 | 98.06 260 | 98.37 319 | 96.73 372 | 86.84 345 | 99.61 348 | 86.99 363 | 98.57 327 | 96.16 362 |
|
GG-mvs-BLEND | | | | | 97.36 333 | 97.59 364 | 96.87 313 | 99.70 29 | 88.49 373 | | 94.64 367 | 97.26 368 | 80.66 367 | 99.12 361 | 91.50 347 | 96.50 361 | 96.08 363 |
|
testpf | | | 94.48 341 | 95.31 335 | 91.99 354 | 97.22 367 | 89.64 369 | 98.86 229 | 96.52 350 | 94.36 350 | 96.09 363 | 98.76 334 | 82.21 362 | 98.73 364 | 97.05 251 | 96.74 359 | 87.60 364 |
|
wuyk23d | | | 97.58 285 | 99.13 132 | 92.93 353 | 99.69 143 | 99.49 105 | 99.52 74 | 99.77 72 | 97.97 265 | 99.96 8 | 99.79 70 | 99.84 4 | 99.94 54 | 95.85 305 | 99.82 154 | 79.36 365 |
|
test123 | | | 29.31 345 | 33.05 348 | 18.08 357 | 25.93 373 | 12.24 372 | 97.53 341 | 10.93 375 | 11.78 367 | 24.21 369 | 50.08 377 | 21.04 374 | 8.60 369 | 23.51 366 | 32.43 368 | 33.39 366 |
|
.test1245 | | | 85.84 342 | 89.27 343 | 75.54 355 | 99.65 160 | 97.72 293 | 98.35 282 | 99.80 59 | 99.40 114 | 99.66 123 | 99.43 234 | 75.10 372 | 99.87 163 | 98.98 114 | 33.07 366 | 29.03 367 |
|
testmvs | | | 28.94 346 | 33.33 346 | 15.79 358 | 26.03 372 | 9.81 373 | 96.77 355 | 15.67 374 | 11.55 368 | 23.87 370 | 50.74 376 | 19.03 375 | 8.53 370 | 23.21 367 | 33.07 366 | 29.03 367 |
|
test_part1 | | | | | 0.00 359 | | 0.00 374 | 0.00 365 | 99.53 196 | | | | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
v1.0 | | | 41.33 344 | 55.11 345 | 0.00 359 | 99.62 169 | 0.00 374 | 0.00 365 | 99.53 196 | 97.71 279 | 99.55 166 | 99.57 199 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
cdsmvs_eth3d_5k | | | 24.88 347 | 33.17 347 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 99.62 146 | 0.00 369 | 0.00 371 | 99.13 289 | 99.82 6 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
pcd_1.5k_mvsjas | | | 16.61 348 | 22.14 349 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 100.00 1 | 99.28 38 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
sosnet-low-res | | | 8.33 349 | 11.11 350 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 100.00 1 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
sosnet | | | 8.33 349 | 11.11 350 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 100.00 1 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
uncertanet | | | 8.33 349 | 11.11 350 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 100.00 1 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
Regformer | | | 8.33 349 | 11.11 350 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 100.00 1 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
ab-mvs-re | | | 8.26 354 | 11.02 355 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 99.16 287 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
uanet | | | 8.33 349 | 11.11 350 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 100.00 1 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
test_part2 | | | | | | 99.62 169 | 99.67 69 | | | | 99.55 166 | | | | | | |
|
sam_mvs | | | | | | | | | | | | | 90.52 324 | | | | |
|
MTGPA | ![Method available as binary. binary](img/icon_binary.png) | | | | | | | | 99.53 196 | | | | | | | | |
|
test_post1 | | | | | | | | 99.14 179 | | | | 51.63 375 | 89.54 331 | 99.82 243 | 96.86 259 | | |
|
test_post | | | | | | | | | | | | 52.41 374 | 90.25 326 | 99.86 184 | | | |
|
patchmatchnet-post | | | | | | | | | | | | 99.62 173 | 90.58 322 | 99.94 54 | | | |
|
MTMP | | | | | | | | 99.09 192 | 98.59 315 | | | | | | | | |
|
gm-plane-assit | | | | | | 97.59 364 | 89.02 370 | | | 93.47 353 | | 98.30 347 | | 99.84 218 | 96.38 283 | | |
|
TEST9 | | | | | | 99.35 265 | 99.35 154 | 98.11 303 | 99.41 235 | 94.83 347 | 97.92 339 | 98.99 311 | 98.02 190 | 99.85 202 | | | |
|
test_8 | | | | | | 99.34 275 | 99.31 160 | 98.08 308 | 99.40 241 | 94.90 343 | 97.87 343 | 98.97 317 | 98.02 190 | 99.84 218 | | | |
|
agg_prior | | | | | | 99.35 265 | 99.36 150 | | 99.39 244 | | 97.76 349 | | | 99.85 202 | | | |
|
test_prior4 | | | | | | | 99.19 192 | 98.00 315 | | | | | | | | | |
|
test_prior2 | | | | | | | | 97.95 322 | | 97.87 270 | 98.05 334 | 99.05 305 | 97.90 198 | | 95.99 299 | 99.49 252 | |
|
旧先验2 | | | | | | | | 97.94 324 | | 95.33 338 | 98.94 273 | | | 99.88 143 | 96.75 266 | | |
|
æ–°å‡ ä½•2 | | | | | | | | 98.04 311 | | | | | | | | | |
|
原ACMM2 | | | | | | | | 97.92 326 | | | | | | | | | |
|
testdata2 | | | | | | | | | | | | | | 99.89 128 | 95.99 299 | | |
|
segment_acmp | | | | | | | | | | | | | 98.37 162 | | | | |
|
testdata1 | | | | | | | | 97.72 333 | | 97.86 273 | | | | | | | |
|
plane_prior7 | | | | | | 99.58 179 | 99.38 144 | | | | | | | | | | |
|
plane_prior6 | | | | | | 99.47 235 | 99.26 173 | | | | | | 97.24 238 | | | | |
|
plane_prior4 | | | | | | | | | | | | 99.25 274 | | | | | |
|
plane_prior3 | | | | | | | 99.31 160 | | | 98.36 237 | 99.14 251 | | | | | | |
|
plane_prior2 | | | | | | | | 98.80 240 | | 98.94 177 | | | | | | | |
|
plane_prior1 | | | | | | 99.51 213 | | | | | | | | | | | |
|
plane_prior | | | | | | | 99.24 180 | 98.42 279 | | 97.87 270 | | | | | | 99.71 206 | |
|
n2 | | | | | | | | | 0.00 376 | | | | | | | | |
|
nn | | | | | | | | | 0.00 376 | | | | | | | | |
|
door-mid | | | | | | | | | 99.83 39 | | | | | | | | |
|
test11 | | | | | | | | | 99.29 267 | | | | | | | | |
|
door | | | | | | | | | 99.77 72 | | | | | | | | |
|
HQP5-MVS | | | | | | | 98.94 217 | | | | | | | | | | |
|
HQP-NCC | | | | | | 99.31 282 | | 97.98 318 | | 97.45 291 | 98.15 328 | | | | | | |
|
ACMP_Plane | | | | | | 99.31 282 | | 97.98 318 | | 97.45 291 | 98.15 328 | | | | | | |
|
BP-MVS | | | | | | | | | | | | | | | 94.73 332 | | |
|
HQP3-MVS | | | | | | | | | 99.37 251 | | | | | | | 99.67 216 | |
|
HQP2-MVS | | | | | | | | | | | | | 96.67 255 | | | | |
|
NP-MVS | | | | | | 99.40 256 | 99.13 197 | | | | | 98.83 329 | | | | | |
|
MDTV_nov1_ep13 | | | | 97.73 281 | | 98.70 349 | 90.83 364 | 99.15 174 | 98.02 328 | 98.51 224 | 98.82 284 | 99.61 182 | 90.98 315 | 99.66 333 | 96.89 258 | 98.92 304 | |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 99.94 79 | |
|
ACMMP++ | | | | | | | | | | | | | | | | 99.79 170 | |
|
Test By Simon | | | | | | | | | | | | | 98.41 159 | | | | |
|