pcd1.5k->3k | | | 49.97 331 | 55.52 332 | 33.31 344 | 99.95 13 | 0.00 362 | 0.00 353 | 99.81 56 | 0.00 357 | 0.00 358 | 100.00 1 | 99.96 1 | 0.00 360 | 0.00 357 | 100.00 1 | 99.92 3 |
|
jajsoiax | | | 99.89 3 | 99.89 3 | 99.89 6 | 99.96 5 | 99.78 35 | 99.70 29 | 99.86 22 | 99.89 10 | 99.98 3 | 99.90 23 | 99.94 2 | 99.98 7 | 99.75 31 | 100.00 1 | 99.90 5 |
|
mvs_tets | | | 99.90 2 | 99.90 2 | 99.90 4 | 99.96 5 | 99.79 33 | 99.72 25 | 99.88 18 | 99.92 5 | 99.98 3 | 99.93 14 | 99.94 2 | 99.98 7 | 99.77 30 | 100.00 1 | 99.92 3 |
|
wuyk23d | | | 97.58 275 | 99.13 127 | 92.93 341 | 99.69 142 | 99.49 102 | 99.52 72 | 99.77 73 | 97.97 252 | 99.96 8 | 99.79 70 | 99.84 4 | 99.94 55 | 95.85 292 | 99.82 153 | 79.36 354 |
|
wuykxyi23d | | | 99.65 41 | 99.64 36 | 99.69 79 | 99.92 19 | 99.20 186 | 98.89 213 | 99.99 2 | 98.73 196 | 99.95 16 | 99.80 63 | 99.84 4 | 99.99 4 | 99.64 37 | 99.98 36 | 99.89 9 |
|
cdsmvs_eth3d_5k | | | 24.88 334 | 33.17 334 | 0.00 347 | 0.00 361 | 0.00 362 | 0.00 353 | 99.62 144 | 0.00 357 | 0.00 358 | 99.13 280 | 99.82 6 | 0.00 360 | 0.00 357 | 0.00 358 | 0.00 358 |
|
LTVRE_ROB | | 99.19 1 | 99.88 4 | 99.87 4 | 99.88 12 | 99.91 21 | 99.90 4 | 99.96 1 | 99.92 7 | 99.90 6 | 99.97 6 | 99.87 37 | 99.81 7 | 99.95 41 | 99.54 44 | 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 |
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 |
|
test_djsdf | | | 99.84 9 | 99.81 10 | 99.91 2 | 99.94 15 | 99.84 18 | 99.77 13 | 99.80 60 | 99.73 42 | 99.97 6 | 99.92 17 | 99.77 9 | 99.98 7 | 99.43 53 | 100.00 1 | 99.90 5 |
|
pmmvs6 | | | 99.86 6 | 99.86 6 | 99.83 24 | 99.94 15 | 99.90 4 | 99.83 8 | 99.91 11 | 99.85 19 | 99.94 20 | 99.95 12 | 99.73 10 | 99.90 109 | 99.65 35 | 99.97 47 | 99.69 56 |
|
XVG-OURS | | | 99.21 140 | 99.06 149 | 99.65 97 | 99.82 53 | 99.62 83 | 97.87 319 | 99.74 89 | 98.36 225 | 99.66 121 | 99.68 136 | 99.71 11 | 99.90 109 | 96.84 249 | 99.88 113 | 99.43 203 |
|
XVG-OURS-SEG-HR | | | 99.16 152 | 98.99 169 | 99.66 93 | 99.84 42 | 99.64 77 | 98.25 280 | 99.73 92 | 98.39 222 | 99.63 132 | 99.43 227 | 99.70 12 | 99.90 109 | 97.34 222 | 98.64 313 | 99.44 197 |
|
DeepC-MVS | | 98.90 4 | 99.62 43 | 99.61 41 | 99.67 85 | 99.72 130 | 99.44 117 | 99.24 140 | 99.71 104 | 99.27 123 | 99.93 26 | 99.90 23 | 99.70 12 | 99.93 66 | 98.99 108 | 99.99 20 | 99.64 95 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
ACMH | | 98.42 6 | 99.59 45 | 99.54 53 | 99.72 68 | 99.86 35 | 99.62 83 | 99.56 70 | 99.79 68 | 98.77 188 | 99.80 74 | 99.85 45 | 99.64 14 | 99.85 195 | 98.70 137 | 99.89 107 | 99.70 53 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
pm-mvs1 | | | 99.79 14 | 99.79 13 | 99.78 37 | 99.91 21 | 99.83 22 | 99.76 16 | 99.87 20 | 99.73 42 | 99.89 38 | 99.87 37 | 99.63 15 | 99.87 159 | 99.54 44 | 99.92 89 | 99.63 99 |
|
DSMNet-mixed | | | 99.48 70 | 99.65 34 | 98.95 249 | 99.71 133 | 97.27 295 | 99.50 74 | 99.82 48 | 99.59 82 | 99.41 190 | 99.85 45 | 99.62 16 | 100.00 1 | 99.53 46 | 99.89 107 | 99.59 135 |
|
Vis-MVSNet | | | 99.75 19 | 99.74 21 | 99.79 34 | 99.88 28 | 99.66 71 | 99.69 38 | 99.92 7 | 99.67 58 | 99.77 87 | 99.75 92 | 99.61 17 | 99.98 7 | 99.35 62 | 99.98 36 | 99.72 46 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
ANet_high | | | 99.88 4 | 99.87 4 | 99.91 2 | 99.99 1 | 99.91 3 | 99.65 54 | 100.00 1 | 99.90 6 | 100.00 1 | 99.97 10 | 99.61 17 | 99.97 16 | 99.75 31 | 100.00 1 | 99.84 15 |
|
TransMVSNet (Re) | | | 99.78 15 | 99.77 14 | 99.81 27 | 99.91 21 | 99.85 13 | 99.75 17 | 99.86 22 | 99.70 49 | 99.91 33 | 99.89 31 | 99.60 19 | 99.87 159 | 99.59 39 | 99.74 191 | 99.71 49 |
|
PMMVS2 | | | 99.48 70 | 99.45 73 | 99.57 137 | 99.76 103 | 98.99 207 | 98.09 295 | 99.90 14 | 98.95 166 | 99.78 82 | 99.58 186 | 99.57 20 | 99.93 66 | 99.48 49 | 99.95 66 | 99.79 30 |
|
Anonymous20231211 | | | 99.83 11 | 99.81 10 | 99.89 6 | 99.97 4 | 99.95 2 | 99.88 4 | 99.93 6 | 99.87 13 | 99.94 20 | 99.98 8 | 99.55 21 | 99.95 41 | 99.21 79 | 99.98 36 | 99.78 31 |
|
SD-MVS | | | 99.01 178 | 99.30 101 | 98.15 296 | 99.50 212 | 99.40 132 | 98.94 211 | 99.61 148 | 99.22 137 | 99.75 91 | 99.82 58 | 99.54 22 | 95.51 357 | 97.48 215 | 99.87 120 | 99.54 154 |
|
anonymousdsp | | | 99.80 13 | 99.77 14 | 99.90 4 | 99.96 5 | 99.88 8 | 99.73 21 | 99.85 29 | 99.70 49 | 99.92 31 | 99.93 14 | 99.45 23 | 99.97 16 | 99.36 61 | 100.00 1 | 99.85 14 |
|
xiu_mvs_v1_base_debu | | | 99.23 128 | 99.34 92 | 98.91 253 | 99.59 172 | 98.23 261 | 98.47 261 | 99.66 124 | 99.61 75 | 99.68 113 | 98.94 311 | 99.39 24 | 99.97 16 | 99.18 85 | 99.55 236 | 98.51 305 |
|
xiu_mvs_v1_base | | | 99.23 128 | 99.34 92 | 98.91 253 | 99.59 172 | 98.23 261 | 98.47 261 | 99.66 124 | 99.61 75 | 99.68 113 | 98.94 311 | 99.39 24 | 99.97 16 | 99.18 85 | 99.55 236 | 98.51 305 |
|
xiu_mvs_v1_base_debi | | | 99.23 128 | 99.34 92 | 98.91 253 | 99.59 172 | 98.23 261 | 98.47 261 | 99.66 124 | 99.61 75 | 99.68 113 | 98.94 311 | 99.39 24 | 99.97 16 | 99.18 85 | 99.55 236 | 98.51 305 |
|
ACMM | | 98.09 11 | 99.46 77 | 99.38 84 | 99.72 68 | 99.80 69 | 99.69 63 | 99.13 177 | 99.65 133 | 98.99 163 | 99.64 129 | 99.72 104 | 99.39 24 | 99.86 179 | 98.23 164 | 99.81 162 | 99.60 124 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
xiu_mvs_v2_base | | | 99.02 174 | 99.11 133 | 98.77 267 | 99.37 252 | 98.09 272 | 98.13 290 | 99.51 203 | 99.47 96 | 99.42 184 | 98.54 331 | 99.38 28 | 99.97 16 | 98.83 126 | 99.33 269 | 98.24 317 |
|
XXY-MVS | | | 99.71 27 | 99.67 32 | 99.81 27 | 99.89 27 | 99.72 51 | 99.59 65 | 99.82 48 | 99.39 111 | 99.82 65 | 99.84 50 | 99.38 28 | 99.91 92 | 99.38 58 | 99.93 86 | 99.80 25 |
|
LPG-MVS_test | | | 99.22 137 | 99.05 154 | 99.74 55 | 99.82 53 | 99.63 81 | 99.16 165 | 99.73 92 | 97.56 275 | 99.64 129 | 99.69 124 | 99.37 30 | 99.89 124 | 96.66 259 | 99.87 120 | 99.69 56 |
|
LGP-MVS_train | | | | | 99.74 55 | 99.82 53 | 99.63 81 | | 99.73 92 | 97.56 275 | 99.64 129 | 99.69 124 | 99.37 30 | 99.89 124 | 96.66 259 | 99.87 120 | 99.69 56 |
|
TDRefinement | | | 99.72 25 | 99.70 28 | 99.77 39 | 99.90 25 | 99.85 13 | 99.86 7 | 99.92 7 | 99.69 53 | 99.78 82 | 99.92 17 | 99.37 30 | 99.88 139 | 98.93 121 | 99.95 66 | 99.60 124 |
|
testgi | | | 99.29 116 | 99.26 112 | 99.37 196 | 99.75 111 | 98.81 229 | 98.84 222 | 99.89 15 | 98.38 223 | 99.75 91 | 99.04 299 | 99.36 33 | 99.86 179 | 99.08 102 | 99.25 278 | 99.45 192 |
|
Fast-Effi-MVS+ | | | 99.02 174 | 98.87 185 | 99.46 168 | 99.38 250 | 99.50 100 | 99.04 191 | 99.79 68 | 97.17 289 | 98.62 292 | 98.74 324 | 99.34 34 | 99.95 41 | 98.32 158 | 99.41 260 | 98.92 285 |
|
new-patchmatchnet | | | 99.35 102 | 99.57 48 | 98.71 275 | 99.82 53 | 96.62 304 | 98.55 251 | 99.75 84 | 99.50 90 | 99.88 46 | 99.87 37 | 99.31 35 | 99.88 139 | 99.43 53 | 100.00 1 | 99.62 113 |
|
HPM-MVS_fast | | | 99.43 81 | 99.30 101 | 99.80 29 | 99.83 46 | 99.81 28 | 99.52 72 | 99.70 107 | 98.35 230 | 99.51 170 | 99.50 216 | 99.31 35 | 99.88 139 | 98.18 171 | 99.84 134 | 99.69 56 |
|
EG-PatchMatch MVS | | | 99.57 47 | 99.56 51 | 99.62 116 | 99.77 98 | 99.33 154 | 99.26 134 | 99.76 79 | 99.32 119 | 99.80 74 | 99.78 79 | 99.29 37 | 99.87 159 | 99.15 92 | 99.91 99 | 99.66 79 |
|
DeepPCF-MVS | | 98.42 6 | 99.18 147 | 99.02 161 | 99.67 85 | 99.22 285 | 99.75 44 | 97.25 338 | 99.47 215 | 98.72 197 | 99.66 121 | 99.70 118 | 99.29 37 | 99.63 332 | 98.07 179 | 99.81 162 | 99.62 113 |
|
pcd_1.5k_mvsjas | | | 16.61 335 | 22.14 336 | 0.00 347 | 0.00 361 | 0.00 362 | 0.00 353 | 0.00 363 | 0.00 357 | 0.00 358 | 100.00 1 | 99.28 39 | 0.00 360 | 0.00 357 | 0.00 358 | 0.00 358 |
|
PS-MVSNAJss | | | 99.84 9 | 99.82 9 | 99.89 6 | 99.96 5 | 99.77 37 | 99.68 41 | 99.85 29 | 99.95 3 | 99.98 3 | 99.92 17 | 99.28 39 | 99.98 7 | 99.75 31 | 100.00 1 | 99.94 2 |
|
PS-MVSNAJ | | | 99.00 181 | 99.08 143 | 98.76 268 | 99.37 252 | 98.10 271 | 98.00 305 | 99.51 203 | 99.47 96 | 99.41 190 | 98.50 333 | 99.28 39 | 99.97 16 | 98.83 126 | 99.34 267 | 98.20 321 |
|
TSAR-MVS + MP. | | | 99.34 107 | 99.24 115 | 99.63 108 | 99.82 53 | 99.37 144 | 99.26 134 | 99.35 247 | 98.77 188 | 99.57 150 | 99.70 118 | 99.27 42 | 99.88 139 | 97.71 198 | 99.75 184 | 99.65 89 |
|
v52 | | | 99.85 7 | 99.84 7 | 99.89 6 | 99.96 5 | 99.89 6 | 99.87 5 | 99.81 56 | 99.85 19 | 99.96 8 | 99.90 23 | 99.27 42 | 99.95 41 | 99.93 1 | 99.99 20 | 99.82 23 |
|
V4 | | | 99.85 7 | 99.84 7 | 99.88 12 | 99.96 5 | 99.89 6 | 99.87 5 | 99.81 56 | 99.85 19 | 99.96 8 | 99.90 23 | 99.27 42 | 99.95 41 | 99.93 1 | 100.00 1 | 99.82 23 |
|
ACMH+ | | 98.40 8 | 99.50 66 | 99.43 78 | 99.71 72 | 99.86 35 | 99.76 41 | 99.32 111 | 99.77 73 | 99.53 87 | 99.77 87 | 99.76 88 | 99.26 45 | 99.78 270 | 97.77 195 | 99.88 113 | 99.60 124 |
|
HPM-MVS | | | 99.25 124 | 99.07 147 | 99.78 37 | 99.81 61 | 99.75 44 | 99.61 60 | 99.67 120 | 97.72 265 | 99.35 206 | 99.25 265 | 99.23 46 | 99.92 83 | 97.21 233 | 99.82 153 | 99.67 69 |
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
DELS-MVS | | | 99.34 107 | 99.30 101 | 99.48 163 | 99.51 207 | 99.36 147 | 98.12 291 | 99.53 191 | 99.36 115 | 99.41 190 | 99.61 175 | 99.22 47 | 99.87 159 | 99.21 79 | 99.68 208 | 99.20 242 |
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 |
pmmvs-eth3d | | | 99.48 70 | 99.47 69 | 99.51 156 | 99.77 98 | 99.41 131 | 98.81 228 | 99.66 124 | 99.42 108 | 99.75 91 | 99.66 146 | 99.20 48 | 99.76 278 | 98.98 110 | 99.99 20 | 99.36 220 |
|
COLMAP_ROB | | 98.06 12 | 99.45 79 | 99.37 87 | 99.70 78 | 99.83 46 | 99.70 59 | 99.38 92 | 99.78 70 | 99.53 87 | 99.67 117 | 99.78 79 | 99.19 49 | 99.86 179 | 97.32 223 | 99.87 120 | 99.55 147 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
TSAR-MVS + GP. | | | 99.12 158 | 99.04 159 | 99.38 192 | 99.34 265 | 99.16 190 | 98.15 287 | 99.29 260 | 98.18 243 | 99.63 132 | 99.62 167 | 99.18 50 | 99.68 311 | 98.20 167 | 99.74 191 | 99.30 231 |
|
MVS_111021_HR | | | 99.12 158 | 99.02 161 | 99.40 187 | 99.50 212 | 99.11 195 | 97.92 316 | 99.71 104 | 98.76 191 | 99.08 246 | 99.47 221 | 99.17 51 | 99.54 341 | 97.85 191 | 99.76 181 | 99.54 154 |
|
3Dnovator | | 99.15 2 | 99.43 81 | 99.36 90 | 99.65 97 | 99.39 247 | 99.42 127 | 99.70 29 | 99.56 179 | 99.23 134 | 99.35 206 | 99.80 63 | 99.17 51 | 99.95 41 | 98.21 166 | 99.84 134 | 99.59 135 |
|
UA-Net | | | 99.78 15 | 99.76 18 | 99.86 18 | 99.72 130 | 99.71 52 | 99.91 3 | 99.95 5 | 99.96 2 | 99.71 107 | 99.91 20 | 99.15 53 | 99.97 16 | 99.50 48 | 100.00 1 | 99.90 5 |
|
OPM-MVS | | | 99.26 123 | 99.13 127 | 99.63 108 | 99.70 140 | 99.61 87 | 98.58 246 | 99.48 211 | 98.50 213 | 99.52 168 | 99.63 160 | 99.14 54 | 99.76 278 | 97.89 188 | 99.77 179 | 99.51 168 |
|
Effi-MVS+ | | | 99.06 166 | 98.97 173 | 99.34 201 | 99.31 271 | 98.98 208 | 98.31 277 | 99.91 11 | 98.81 182 | 98.79 278 | 98.94 311 | 99.14 54 | 99.84 211 | 98.79 129 | 98.74 308 | 99.20 242 |
|
testing_2 | | | 99.58 46 | 99.56 51 | 99.62 116 | 99.81 61 | 99.44 117 | 99.14 172 | 99.43 226 | 99.69 53 | 99.82 65 | 99.79 70 | 99.14 54 | 99.79 262 | 99.31 70 | 99.95 66 | 99.63 99 |
|
v7n | | | 99.82 12 | 99.80 12 | 99.88 12 | 99.96 5 | 99.84 18 | 99.82 10 | 99.82 48 | 99.84 23 | 99.94 20 | 99.91 20 | 99.13 57 | 99.96 33 | 99.83 20 | 99.99 20 | 99.83 18 |
|
testmv | | | 99.53 65 | 99.51 66 | 99.59 127 | 99.73 120 | 99.31 157 | 98.48 260 | 99.92 7 | 99.57 84 | 99.87 51 | 99.79 70 | 99.12 58 | 99.91 92 | 99.16 91 | 99.99 20 | 99.55 147 |
|
nrg030 | | | 99.70 28 | 99.66 33 | 99.82 25 | 99.76 103 | 99.84 18 | 99.61 60 | 99.70 107 | 99.93 4 | 99.78 82 | 99.68 136 | 99.10 59 | 99.78 270 | 99.45 51 | 99.96 59 | 99.83 18 |
|
MSDG | | | 99.08 164 | 98.98 172 | 99.37 196 | 99.60 169 | 99.13 193 | 97.54 328 | 99.74 89 | 98.84 180 | 99.53 166 | 99.55 203 | 99.10 59 | 99.79 262 | 97.07 239 | 99.86 127 | 99.18 247 |
|
v1240 | | | 99.56 50 | 99.58 45 | 99.51 156 | 99.80 69 | 99.00 206 | 99.00 198 | 99.65 133 | 99.15 147 | 99.90 35 | 99.75 92 | 99.09 61 | 99.88 139 | 99.90 9 | 99.96 59 | 99.67 69 |
|
abl_6 | | | 99.36 100 | 99.23 117 | 99.75 51 | 99.71 133 | 99.74 49 | 99.33 108 | 99.76 79 | 99.07 159 | 99.65 127 | 99.63 160 | 99.09 61 | 99.92 83 | 97.13 237 | 99.76 181 | 99.58 139 |
|
MVS_111021_LR | | | 99.13 156 | 99.03 160 | 99.42 179 | 99.58 175 | 99.32 156 | 97.91 318 | 99.73 92 | 98.68 199 | 99.31 216 | 99.48 218 | 99.09 61 | 99.66 321 | 97.70 199 | 99.77 179 | 99.29 234 |
|
v1921920 | | | 99.56 50 | 99.57 48 | 99.55 146 | 99.75 111 | 99.11 195 | 99.05 189 | 99.61 148 | 99.15 147 | 99.88 46 | 99.71 111 | 99.08 64 | 99.87 159 | 99.90 9 | 99.97 47 | 99.66 79 |
|
v1192 | | | 99.57 47 | 99.57 48 | 99.57 137 | 99.77 98 | 99.22 180 | 99.04 191 | 99.60 162 | 99.18 140 | 99.87 51 | 99.72 104 | 99.08 64 | 99.85 195 | 99.89 13 | 99.98 36 | 99.66 79 |
|
test_0402 | | | 99.22 137 | 99.14 124 | 99.45 172 | 99.79 82 | 99.43 123 | 99.28 130 | 99.68 116 | 99.54 85 | 99.40 194 | 99.56 198 | 99.07 66 | 99.82 235 | 96.01 284 | 99.96 59 | 99.11 260 |
|
ACMP | | 97.51 14 | 99.05 169 | 98.84 190 | 99.67 85 | 99.78 88 | 99.55 96 | 98.88 215 | 99.66 124 | 97.11 294 | 99.47 175 | 99.60 178 | 99.07 66 | 99.89 124 | 96.18 276 | 99.85 130 | 99.58 139 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
CLD-MVS | | | 98.76 214 | 98.57 214 | 99.33 203 | 99.57 184 | 98.97 210 | 97.53 330 | 99.55 182 | 96.41 309 | 99.27 221 | 99.13 280 | 99.07 66 | 99.78 270 | 96.73 256 | 99.89 107 | 99.23 237 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
PVSNet_Blended_VisFu | | | 99.40 90 | 99.38 84 | 99.44 174 | 99.90 25 | 98.66 236 | 98.94 211 | 99.91 11 | 97.97 252 | 99.79 79 | 99.73 98 | 99.05 69 | 99.97 16 | 99.15 92 | 99.99 20 | 99.68 62 |
|
canonicalmvs | | | 99.02 174 | 99.00 166 | 99.09 237 | 99.10 303 | 98.70 233 | 99.61 60 | 99.66 124 | 99.63 70 | 98.64 291 | 97.65 348 | 99.04 70 | 99.54 341 | 98.79 129 | 98.92 293 | 99.04 277 |
|
SteuartSystems-ACMMP | | | 99.30 114 | 99.14 124 | 99.76 42 | 99.87 32 | 99.66 71 | 99.18 152 | 99.60 162 | 98.55 209 | 99.57 150 | 99.67 142 | 99.03 71 | 99.94 55 | 97.01 241 | 99.80 167 | 99.69 56 |
Skip Steuart: Steuart Systems R&D Blog. |
SMA-MVS | | | 99.23 128 | 99.06 149 | 99.74 55 | 99.46 232 | 99.76 41 | 99.13 177 | 99.58 174 | 97.62 271 | 99.68 113 | 99.64 152 | 99.02 72 | 99.83 227 | 97.61 208 | 99.82 153 | 99.63 99 |
|
EI-MVSNet-UG-set | | | 99.48 70 | 99.50 67 | 99.42 179 | 99.57 184 | 98.65 238 | 99.24 140 | 99.46 218 | 99.68 56 | 99.80 74 | 99.66 146 | 98.99 73 | 99.89 124 | 99.19 83 | 99.90 101 | 99.72 46 |
|
Fast-Effi-MVS+-dtu | | | 99.20 142 | 99.12 130 | 99.43 177 | 99.25 281 | 99.69 63 | 99.05 189 | 99.82 48 | 99.50 90 | 98.97 256 | 99.05 296 | 98.98 74 | 99.98 7 | 98.20 167 | 99.24 280 | 98.62 298 |
|
FMVSNet1 | | | 99.66 36 | 99.63 37 | 99.73 63 | 99.78 88 | 99.77 37 | 99.68 41 | 99.70 107 | 99.67 58 | 99.82 65 | 99.83 51 | 98.98 74 | 99.90 109 | 99.24 78 | 99.97 47 | 99.53 157 |
|
EI-MVSNet-Vis-set | | | 99.47 76 | 99.49 68 | 99.42 179 | 99.57 184 | 98.66 236 | 99.24 140 | 99.46 218 | 99.67 58 | 99.79 79 | 99.65 151 | 98.97 76 | 99.89 124 | 99.15 92 | 99.89 107 | 99.71 49 |
|
PHI-MVS | | | 99.11 161 | 98.95 175 | 99.59 127 | 99.13 296 | 99.59 88 | 99.17 159 | 99.65 133 | 97.88 256 | 99.25 224 | 99.46 224 | 98.97 76 | 99.80 259 | 97.26 228 | 99.82 153 | 99.37 217 |
|
TinyColmap | | | 98.97 184 | 98.93 176 | 99.07 241 | 99.46 232 | 98.19 264 | 97.75 322 | 99.75 84 | 98.79 185 | 99.54 163 | 99.70 118 | 98.97 76 | 99.62 333 | 96.63 261 | 99.83 144 | 99.41 207 |
|
Regformer-4 | | | 99.45 79 | 99.44 75 | 99.50 158 | 99.52 203 | 98.94 213 | 99.17 159 | 99.53 191 | 99.64 67 | 99.76 90 | 99.60 178 | 98.96 79 | 99.90 109 | 98.91 122 | 99.84 134 | 99.67 69 |
|
v11 | | | 99.75 19 | 99.76 18 | 99.71 72 | 99.85 39 | 99.49 102 | 99.73 21 | 99.84 37 | 99.75 39 | 99.95 16 | 99.90 23 | 98.93 80 | 99.86 179 | 99.92 3 | 100.00 1 | 99.77 34 |
|
XVG-ACMP-BASELINE | | | 99.23 128 | 99.10 140 | 99.63 108 | 99.82 53 | 99.58 90 | 98.83 224 | 99.72 101 | 98.36 225 | 99.60 146 | 99.71 111 | 98.92 81 | 99.91 92 | 97.08 238 | 99.84 134 | 99.40 208 |
|
CSCG | | | 99.37 97 | 99.29 106 | 99.60 125 | 99.71 133 | 99.46 110 | 99.43 82 | 99.85 29 | 98.79 185 | 99.41 190 | 99.60 178 | 98.92 81 | 99.92 83 | 98.02 180 | 99.92 89 | 99.43 203 |
|
Gipuma | | | 99.57 47 | 99.59 43 | 99.49 160 | 99.98 3 | 99.71 52 | 99.72 25 | 99.84 37 | 99.81 28 | 99.94 20 | 99.78 79 | 98.91 83 | 99.71 296 | 98.41 151 | 99.95 66 | 99.05 276 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
Regformer-3 | | | 99.41 87 | 99.41 80 | 99.40 187 | 99.52 203 | 98.70 233 | 99.17 159 | 99.44 223 | 99.62 71 | 99.75 91 | 99.60 178 | 98.90 84 | 99.85 195 | 98.89 123 | 99.84 134 | 99.65 89 |
|
v13 | | | 99.76 17 | 99.77 14 | 99.73 63 | 99.86 35 | 99.55 96 | 99.77 13 | 99.86 22 | 99.79 33 | 99.96 8 | 99.91 20 | 98.90 84 | 99.87 159 | 99.91 5 | 100.00 1 | 99.78 31 |
|
DeepC-MVS_fast | | 98.47 5 | 99.23 128 | 99.12 130 | 99.56 143 | 99.28 278 | 99.22 180 | 98.99 201 | 99.40 235 | 99.08 157 | 99.58 148 | 99.64 152 | 98.90 84 | 99.83 227 | 97.44 217 | 99.75 184 | 99.63 99 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
v12 | | | 99.75 19 | 99.77 14 | 99.72 68 | 99.85 39 | 99.53 99 | 99.75 17 | 99.86 22 | 99.78 34 | 99.96 8 | 99.90 23 | 98.88 87 | 99.86 179 | 99.91 5 | 100.00 1 | 99.77 34 |
|
ITE_SJBPF | | | | | 99.38 192 | 99.63 161 | 99.44 117 | | 99.73 92 | 98.56 208 | 99.33 212 | 99.53 207 | 98.88 87 | 99.68 311 | 96.01 284 | 99.65 219 | 99.02 279 |
|
tfpnnormal | | | 99.43 81 | 99.38 84 | 99.60 125 | 99.87 32 | 99.75 44 | 99.59 65 | 99.78 70 | 99.71 47 | 99.90 35 | 99.69 124 | 98.85 89 | 99.90 109 | 97.25 229 | 99.78 175 | 99.15 251 |
|
V9 | | | 99.74 23 | 99.75 20 | 99.71 72 | 99.84 42 | 99.50 100 | 99.74 19 | 99.86 22 | 99.76 38 | 99.96 8 | 99.90 23 | 98.83 90 | 99.85 195 | 99.91 5 | 100.00 1 | 99.77 34 |
|
MP-MVS-pluss | | | 99.14 155 | 98.92 179 | 99.80 29 | 99.83 46 | 99.83 22 | 98.61 242 | 99.63 141 | 96.84 298 | 99.44 178 | 99.58 186 | 98.81 91 | 99.91 92 | 97.70 199 | 99.82 153 | 99.67 69 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
VPA-MVSNet | | | 99.66 36 | 99.62 38 | 99.79 34 | 99.68 149 | 99.75 44 | 99.62 56 | 99.69 113 | 99.85 19 | 99.80 74 | 99.81 61 | 98.81 91 | 99.91 92 | 99.47 50 | 99.88 113 | 99.70 53 |
|
test20.03 | | | 99.55 54 | 99.54 53 | 99.58 131 | 99.79 82 | 99.37 144 | 99.02 194 | 99.89 15 | 99.60 80 | 99.82 65 | 99.62 167 | 98.81 91 | 99.89 124 | 99.43 53 | 99.86 127 | 99.47 186 |
|
PGM-MVS | | | 99.20 142 | 99.01 164 | 99.77 39 | 99.75 111 | 99.71 52 | 99.16 165 | 99.72 101 | 97.99 250 | 99.42 184 | 99.60 178 | 98.81 91 | 99.93 66 | 96.91 245 | 99.74 191 | 99.66 79 |
|
HFP-MVS | | | 99.25 124 | 99.08 143 | 99.76 42 | 99.73 120 | 99.70 59 | 99.31 118 | 99.59 166 | 98.36 225 | 99.36 204 | 99.37 237 | 98.80 95 | 99.91 92 | 97.43 218 | 99.75 184 | 99.68 62 |
|
#test# | | | 99.12 158 | 98.90 182 | 99.76 42 | 99.73 120 | 99.70 59 | 99.10 181 | 99.59 166 | 97.60 273 | 99.36 204 | 99.37 237 | 98.80 95 | 99.91 92 | 96.84 249 | 99.75 184 | 99.68 62 |
|
Regformer-2 | | | 99.34 107 | 99.27 110 | 99.53 151 | 99.41 243 | 99.10 198 | 98.99 201 | 99.53 191 | 99.47 96 | 99.66 121 | 99.52 209 | 98.80 95 | 99.89 124 | 98.31 159 | 99.74 191 | 99.60 124 |
|
V14 | | | 99.73 24 | 99.74 21 | 99.69 79 | 99.83 46 | 99.48 105 | 99.72 25 | 99.85 29 | 99.74 40 | 99.96 8 | 99.89 31 | 98.79 98 | 99.85 195 | 99.91 5 | 100.00 1 | 99.76 37 |
|
APDe-MVS | | | 99.48 70 | 99.36 90 | 99.85 20 | 99.55 197 | 99.81 28 | 99.50 74 | 99.69 113 | 98.99 163 | 99.75 91 | 99.71 111 | 98.79 98 | 99.93 66 | 98.46 149 | 99.85 130 | 99.80 25 |
|
CP-MVS | | | 99.23 128 | 99.05 154 | 99.75 51 | 99.66 154 | 99.66 71 | 99.38 92 | 99.62 144 | 98.38 223 | 99.06 250 | 99.27 261 | 98.79 98 | 99.94 55 | 97.51 214 | 99.82 153 | 99.66 79 |
|
Regformer-1 | | | 99.32 112 | 99.27 110 | 99.47 165 | 99.41 243 | 98.95 212 | 98.99 201 | 99.48 211 | 99.48 92 | 99.66 121 | 99.52 209 | 98.78 101 | 99.87 159 | 98.36 154 | 99.74 191 | 99.60 124 |
|
MSLP-MVS++ | | | 99.05 169 | 99.09 142 | 98.91 253 | 99.21 286 | 98.36 251 | 98.82 227 | 99.47 215 | 98.85 177 | 98.90 269 | 99.56 198 | 98.78 101 | 99.09 351 | 98.57 143 | 99.68 208 | 99.26 235 |
|
MVS_Test | | | 99.28 117 | 99.31 96 | 99.19 230 | 99.35 255 | 98.79 231 | 99.36 98 | 99.49 210 | 99.17 145 | 99.21 232 | 99.67 142 | 98.78 101 | 99.66 321 | 99.09 101 | 99.66 217 | 99.10 264 |
|
3Dnovator+ | | 98.92 3 | 99.35 102 | 99.24 115 | 99.67 85 | 99.35 255 | 99.47 106 | 99.62 56 | 99.50 206 | 99.44 101 | 99.12 243 | 99.78 79 | 98.77 104 | 99.94 55 | 97.87 189 | 99.72 202 | 99.62 113 |
|
v15 | | | 99.72 25 | 99.73 24 | 99.68 82 | 99.82 53 | 99.44 117 | 99.70 29 | 99.85 29 | 99.72 45 | 99.95 16 | 99.88 34 | 98.76 105 | 99.84 211 | 99.90 9 | 100.00 1 | 99.75 40 |
|
APD-MVS_3200maxsize | | | 99.31 113 | 99.16 121 | 99.74 55 | 99.53 201 | 99.75 44 | 99.27 133 | 99.61 148 | 99.19 139 | 99.57 150 | 99.64 152 | 98.76 105 | 99.90 109 | 97.29 225 | 99.62 222 | 99.56 144 |
|
TranMVSNet+NR-MVSNet | | | 99.54 59 | 99.47 69 | 99.76 42 | 99.58 175 | 99.64 77 | 99.30 121 | 99.63 141 | 99.61 75 | 99.71 107 | 99.56 198 | 98.76 105 | 99.96 33 | 99.14 98 | 99.92 89 | 99.68 62 |
|
ACMMP_Plus | | | 99.28 117 | 99.11 133 | 99.79 34 | 99.75 111 | 99.81 28 | 98.95 208 | 99.53 191 | 98.27 239 | 99.53 166 | 99.73 98 | 98.75 108 | 99.87 159 | 97.70 199 | 99.83 144 | 99.68 62 |
|
v7 | | | 99.56 50 | 99.54 53 | 99.61 119 | 99.80 69 | 99.39 135 | 99.30 121 | 99.59 166 | 99.14 149 | 99.82 65 | 99.72 104 | 98.75 108 | 99.84 211 | 99.83 20 | 99.94 78 | 99.61 118 |
|
v10 | | | 99.69 32 | 99.69 29 | 99.66 93 | 99.81 61 | 99.39 135 | 99.66 49 | 99.75 84 | 99.60 80 | 99.92 31 | 99.87 37 | 98.75 108 | 99.86 179 | 99.90 9 | 99.99 20 | 99.73 43 |
|
region2R | | | 99.23 128 | 99.05 154 | 99.77 39 | 99.76 103 | 99.70 59 | 99.31 118 | 99.59 166 | 98.41 220 | 99.32 214 | 99.36 242 | 98.73 111 | 99.93 66 | 97.29 225 | 99.74 191 | 99.67 69 |
|
v748 | | | 99.76 17 | 99.74 21 | 99.84 21 | 99.95 13 | 99.83 22 | 99.82 10 | 99.80 60 | 99.82 27 | 99.95 16 | 99.87 37 | 98.72 112 | 99.93 66 | 99.72 34 | 99.98 36 | 99.75 40 |
|
v17 | | | 99.70 28 | 99.71 25 | 99.67 85 | 99.81 61 | 99.44 117 | 99.70 29 | 99.83 40 | 99.69 53 | 99.94 20 | 99.87 37 | 98.70 113 | 99.84 211 | 99.88 14 | 99.99 20 | 99.73 43 |
|
LS3D | | | 99.24 127 | 99.11 133 | 99.61 119 | 98.38 343 | 99.79 33 | 99.57 68 | 99.68 116 | 99.61 75 | 99.15 240 | 99.71 111 | 98.70 113 | 99.91 92 | 97.54 212 | 99.68 208 | 99.13 258 |
|
v16 | | | 99.70 28 | 99.71 25 | 99.67 85 | 99.81 61 | 99.43 123 | 99.70 29 | 99.83 40 | 99.70 49 | 99.94 20 | 99.87 37 | 98.69 115 | 99.84 211 | 99.88 14 | 99.99 20 | 99.73 43 |
|
DP-MVS | | | 99.48 70 | 99.39 82 | 99.74 55 | 99.57 184 | 99.62 83 | 99.29 129 | 99.61 148 | 99.87 13 | 99.74 99 | 99.76 88 | 98.69 115 | 99.87 159 | 98.20 167 | 99.80 167 | 99.75 40 |
|
AllTest | | | 99.21 140 | 99.07 147 | 99.63 108 | 99.78 88 | 99.64 77 | 99.12 179 | 99.83 40 | 98.63 203 | 99.63 132 | 99.72 104 | 98.68 117 | 99.75 284 | 96.38 270 | 99.83 144 | 99.51 168 |
|
TestCases | | | | | 99.63 108 | 99.78 88 | 99.64 77 | | 99.83 40 | 98.63 203 | 99.63 132 | 99.72 104 | 98.68 117 | 99.75 284 | 96.38 270 | 99.83 144 | 99.51 168 |
|
LCM-MVSNet-Re | | | 99.28 117 | 99.15 123 | 99.67 85 | 99.33 269 | 99.76 41 | 99.34 106 | 99.97 3 | 98.93 169 | 99.91 33 | 99.79 70 | 98.68 117 | 99.93 66 | 96.80 251 | 99.56 230 | 99.30 231 |
|
v1144 | | | 99.54 59 | 99.53 61 | 99.59 127 | 99.79 82 | 99.28 163 | 99.10 181 | 99.61 148 | 99.20 138 | 99.84 60 | 99.73 98 | 98.67 120 | 99.84 211 | 99.86 19 | 99.98 36 | 99.64 95 |
|
DTE-MVSNet | | | 99.68 33 | 99.61 41 | 99.88 12 | 99.80 69 | 99.87 9 | 99.67 46 | 99.71 104 | 99.72 45 | 99.84 60 | 99.78 79 | 98.67 120 | 99.97 16 | 99.30 71 | 99.95 66 | 99.80 25 |
|
v144192 | | | 99.55 54 | 99.54 53 | 99.58 131 | 99.78 88 | 99.20 186 | 99.11 180 | 99.62 144 | 99.18 140 | 99.89 38 | 99.72 104 | 98.66 122 | 99.87 159 | 99.88 14 | 99.97 47 | 99.66 79 |
|
v8 | | | 99.68 33 | 99.69 29 | 99.65 97 | 99.80 69 | 99.40 132 | 99.66 49 | 99.76 79 | 99.64 67 | 99.93 26 | 99.85 45 | 98.66 122 | 99.84 211 | 99.88 14 | 99.99 20 | 99.71 49 |
|
ppachtmachnet_test | | | 98.89 200 | 99.12 130 | 98.20 294 | 99.66 154 | 95.24 330 | 97.63 324 | 99.68 116 | 99.08 157 | 99.78 82 | 99.62 167 | 98.65 124 | 99.88 139 | 98.02 180 | 99.96 59 | 99.48 181 |
|
v18 | | | 99.68 33 | 99.69 29 | 99.65 97 | 99.79 82 | 99.40 132 | 99.68 41 | 99.83 40 | 99.66 62 | 99.93 26 | 99.85 45 | 98.65 124 | 99.84 211 | 99.87 18 | 99.99 20 | 99.71 49 |
|
v6 | | | 99.55 54 | 99.54 53 | 99.61 119 | 99.80 69 | 99.39 135 | 99.32 111 | 99.60 162 | 99.18 140 | 99.87 51 | 99.68 136 | 98.65 124 | 99.82 235 | 99.79 26 | 99.95 66 | 99.61 118 |
|
v1neww | | | 99.55 54 | 99.54 53 | 99.61 119 | 99.80 69 | 99.39 135 | 99.32 111 | 99.61 148 | 99.18 140 | 99.87 51 | 99.69 124 | 98.64 127 | 99.82 235 | 99.79 26 | 99.94 78 | 99.60 124 |
|
v7new | | | 99.55 54 | 99.54 53 | 99.61 119 | 99.80 69 | 99.39 135 | 99.32 111 | 99.61 148 | 99.18 140 | 99.87 51 | 99.69 124 | 98.64 127 | 99.82 235 | 99.79 26 | 99.94 78 | 99.60 124 |
|
PS-CasMVS | | | 99.66 36 | 99.58 45 | 99.89 6 | 99.80 69 | 99.85 13 | 99.66 49 | 99.73 92 | 99.62 71 | 99.84 60 | 99.71 111 | 98.62 129 | 99.96 33 | 99.30 71 | 99.96 59 | 99.86 12 |
|
LF4IMVS | | | 99.01 178 | 98.92 179 | 99.27 214 | 99.71 133 | 99.28 163 | 98.59 245 | 99.77 73 | 98.32 236 | 99.39 195 | 99.41 231 | 98.62 129 | 99.84 211 | 96.62 262 | 99.84 134 | 98.69 297 |
|
ACMMPR | | | 99.23 128 | 99.06 149 | 99.76 42 | 99.74 117 | 99.69 63 | 99.31 118 | 99.59 166 | 98.36 225 | 99.35 206 | 99.38 236 | 98.61 131 | 99.93 66 | 97.43 218 | 99.75 184 | 99.67 69 |
|
API-MVS | | | 98.38 245 | 98.39 228 | 98.35 288 | 98.83 323 | 99.26 169 | 99.14 172 | 99.18 277 | 98.59 206 | 98.66 290 | 98.78 321 | 98.61 131 | 99.57 340 | 94.14 328 | 99.56 230 | 96.21 350 |
|
OMC-MVS | | | 98.90 197 | 98.72 201 | 99.44 174 | 99.39 247 | 99.42 127 | 98.58 246 | 99.64 138 | 97.31 287 | 99.44 178 | 99.62 167 | 98.59 133 | 99.69 303 | 96.17 277 | 99.79 170 | 99.22 238 |
|
ACMMP | | | 99.25 124 | 99.08 143 | 99.74 55 | 99.79 82 | 99.68 66 | 99.50 74 | 99.65 133 | 98.07 246 | 99.52 168 | 99.69 124 | 98.57 134 | 99.92 83 | 97.18 235 | 99.79 170 | 99.63 99 |
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 |
v1141 | | | 99.54 59 | 99.52 63 | 99.57 137 | 99.78 88 | 99.27 167 | 99.15 167 | 99.61 148 | 99.26 127 | 99.89 38 | 99.69 124 | 98.56 135 | 99.82 235 | 99.82 23 | 99.97 47 | 99.63 99 |
|
divwei89l23v2f112 | | | 99.54 59 | 99.52 63 | 99.57 137 | 99.78 88 | 99.27 167 | 99.15 167 | 99.61 148 | 99.26 127 | 99.89 38 | 99.69 124 | 98.56 135 | 99.82 235 | 99.82 23 | 99.96 59 | 99.63 99 |
|
v1 | | | 99.54 59 | 99.52 63 | 99.58 131 | 99.77 98 | 99.28 163 | 99.15 167 | 99.61 148 | 99.26 127 | 99.88 46 | 99.68 136 | 98.56 135 | 99.82 235 | 99.82 23 | 99.97 47 | 99.63 99 |
|
PEN-MVS | | | 99.66 36 | 99.59 43 | 99.89 6 | 99.83 46 | 99.87 9 | 99.66 49 | 99.73 92 | 99.70 49 | 99.84 60 | 99.73 98 | 98.56 135 | 99.96 33 | 99.29 74 | 99.94 78 | 99.83 18 |
|
V42 | | | 99.56 50 | 99.54 53 | 99.63 108 | 99.79 82 | 99.46 110 | 99.39 86 | 99.59 166 | 99.24 132 | 99.86 56 | 99.70 118 | 98.55 139 | 99.82 235 | 99.79 26 | 99.95 66 | 99.60 124 |
|
QAPM | | | 98.40 244 | 97.99 255 | 99.65 97 | 99.39 247 | 99.47 106 | 99.67 46 | 99.52 201 | 91.70 345 | 98.78 280 | 99.80 63 | 98.55 139 | 99.95 41 | 94.71 321 | 99.75 184 | 99.53 157 |
|
EI-MVSNet | | | 99.38 95 | 99.44 75 | 99.21 227 | 99.58 175 | 98.09 272 | 99.26 134 | 99.46 218 | 99.62 71 | 99.75 91 | 99.67 142 | 98.54 141 | 99.85 195 | 99.15 92 | 99.92 89 | 99.68 62 |
|
jason | | | 99.16 152 | 99.11 133 | 99.32 207 | 99.75 111 | 98.44 244 | 98.26 279 | 99.39 238 | 98.70 198 | 99.74 99 | 99.30 255 | 98.54 141 | 99.97 16 | 98.48 148 | 99.82 153 | 99.55 147 |
jason: jason. |
OurMVSNet-221017-0 | | | 99.75 19 | 99.71 25 | 99.84 21 | 99.96 5 | 99.83 22 | 99.83 8 | 99.85 29 | 99.80 31 | 99.93 26 | 99.93 14 | 98.54 141 | 99.93 66 | 99.59 39 | 99.98 36 | 99.76 37 |
|
IterMVS-LS | | | 99.41 87 | 99.47 69 | 99.25 222 | 99.81 61 | 98.09 272 | 98.85 221 | 99.76 79 | 99.62 71 | 99.83 64 | 99.64 152 | 98.54 141 | 99.97 16 | 99.15 92 | 99.99 20 | 99.68 62 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
mPP-MVS | | | 99.19 145 | 99.00 166 | 99.76 42 | 99.76 103 | 99.68 66 | 99.38 92 | 99.54 186 | 98.34 234 | 99.01 253 | 99.50 216 | 98.53 145 | 99.93 66 | 97.18 235 | 99.78 175 | 99.66 79 |
|
CNVR-MVS | | | 98.99 183 | 98.80 197 | 99.56 143 | 99.25 281 | 99.43 123 | 98.54 254 | 99.27 264 | 98.58 207 | 98.80 277 | 99.43 227 | 98.53 145 | 99.70 297 | 97.22 231 | 99.59 228 | 99.54 154 |
|
PVSNet_BlendedMVS | | | 99.03 172 | 99.01 164 | 99.09 237 | 99.54 198 | 97.99 276 | 98.58 246 | 99.82 48 | 97.62 271 | 99.34 210 | 99.71 111 | 98.52 147 | 99.77 276 | 97.98 184 | 99.97 47 | 99.52 165 |
|
PVSNet_Blended | | | 98.70 218 | 98.59 210 | 99.02 246 | 99.54 198 | 97.99 276 | 97.58 327 | 99.82 48 | 95.70 321 | 99.34 210 | 98.98 303 | 98.52 147 | 99.77 276 | 97.98 184 | 99.83 144 | 99.30 231 |
|
MCST-MVS | | | 99.02 174 | 98.81 195 | 99.65 97 | 99.58 175 | 99.49 102 | 98.58 246 | 99.07 284 | 98.40 221 | 99.04 251 | 99.25 265 | 98.51 149 | 99.80 259 | 97.31 224 | 99.51 243 | 99.65 89 |
|
UGNet | | | 99.38 95 | 99.34 92 | 99.49 160 | 98.90 313 | 98.90 220 | 99.70 29 | 99.35 247 | 99.86 16 | 98.57 297 | 99.81 61 | 98.50 150 | 99.93 66 | 99.38 58 | 99.98 36 | 99.66 79 |
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 |
XVS | | | 99.27 122 | 99.11 133 | 99.75 51 | 99.71 133 | 99.71 52 | 99.37 96 | 99.61 148 | 99.29 120 | 98.76 281 | 99.47 221 | 98.47 151 | 99.88 139 | 97.62 206 | 99.73 197 | 99.67 69 |
|
X-MVStestdata | | | 96.09 319 | 94.87 327 | 99.75 51 | 99.71 133 | 99.71 52 | 99.37 96 | 99.61 148 | 99.29 120 | 98.76 281 | 61.30 361 | 98.47 151 | 99.88 139 | 97.62 206 | 99.73 197 | 99.67 69 |
|
ambc | | | | | 99.20 229 | 99.35 255 | 98.53 241 | 99.17 159 | 99.46 218 | | 99.67 117 | 99.80 63 | 98.46 153 | 99.70 297 | 97.92 186 | 99.70 205 | 99.38 213 |
|
FC-MVSNet-test | | | 99.70 28 | 99.65 34 | 99.86 18 | 99.88 28 | 99.86 12 | 99.72 25 | 99.78 70 | 99.90 6 | 99.82 65 | 99.83 51 | 98.45 154 | 99.87 159 | 99.51 47 | 99.97 47 | 99.86 12 |
|
1314 | | | 98.00 266 | 97.90 264 | 98.27 293 | 98.90 313 | 97.45 293 | 99.30 121 | 99.06 286 | 94.98 330 | 97.21 343 | 99.12 284 | 98.43 155 | 99.67 316 | 95.58 306 | 98.56 323 | 97.71 337 |
|
USDC | | | 98.96 187 | 98.93 176 | 99.05 243 | 99.54 198 | 97.99 276 | 97.07 340 | 99.80 60 | 98.21 241 | 99.75 91 | 99.77 85 | 98.43 155 | 99.64 330 | 97.90 187 | 99.88 113 | 99.51 168 |
|
v148 | | | 99.40 90 | 99.41 80 | 99.39 190 | 99.76 103 | 98.94 213 | 99.09 185 | 99.59 166 | 99.17 145 | 99.81 71 | 99.61 175 | 98.41 157 | 99.69 303 | 99.32 68 | 99.94 78 | 99.53 157 |
|
Test By Simon | | | | | | | | | | | | | 98.41 157 | | | | |
|
test_part1 | | | | | | | | | 99.53 191 | | | | 98.40 159 | | | 99.68 208 | 99.66 79 |
|
ESAPD | | | 98.87 202 | 98.58 212 | 99.74 55 | 99.62 166 | 99.67 68 | 98.74 235 | 99.53 191 | 97.71 266 | 99.55 160 | 99.57 193 | 98.40 159 | 99.90 109 | 94.47 323 | 99.68 208 | 99.66 79 |
|
PM-MVS | | | 99.36 100 | 99.29 106 | 99.58 131 | 99.83 46 | 99.66 71 | 98.95 208 | 99.86 22 | 98.85 177 | 99.81 71 | 99.73 98 | 98.40 159 | 99.92 83 | 98.36 154 | 99.83 144 | 99.17 249 |
|
segment_acmp | | | | | | | | | | | | | 98.37 162 | | | | |
|
MP-MVS | | | 99.06 166 | 98.83 193 | 99.76 42 | 99.76 103 | 99.71 52 | 99.32 111 | 99.50 206 | 98.35 230 | 98.97 256 | 99.48 218 | 98.37 162 | 99.92 83 | 95.95 290 | 99.75 184 | 99.63 99 |
|
MVS | | | 95.72 326 | 94.63 329 | 98.99 247 | 98.56 339 | 97.98 281 | 99.30 121 | 98.86 292 | 72.71 354 | 97.30 341 | 99.08 287 | 98.34 164 | 99.74 288 | 89.21 343 | 98.33 330 | 99.26 235 |
|
CDPH-MVS | | | 98.56 227 | 98.20 243 | 99.61 119 | 99.50 212 | 99.46 110 | 98.32 276 | 99.41 229 | 95.22 327 | 99.21 232 | 99.10 286 | 98.34 164 | 99.82 235 | 95.09 317 | 99.66 217 | 99.56 144 |
|
testdata | | | | | 99.42 179 | 99.51 207 | 98.93 217 | | 99.30 259 | 96.20 311 | 98.87 271 | 99.40 232 | 98.33 166 | 99.89 124 | 96.29 273 | 99.28 274 | 99.44 197 |
|
APD-MVS | | | 98.87 202 | 98.59 210 | 99.71 72 | 99.50 212 | 99.62 83 | 99.01 196 | 99.57 176 | 96.80 300 | 99.54 163 | 99.63 160 | 98.29 167 | 99.91 92 | 95.24 314 | 99.71 203 | 99.61 118 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
OpenMVS | | 98.12 10 | 98.23 256 | 97.89 265 | 99.26 219 | 99.19 290 | 99.26 169 | 99.65 54 | 99.69 113 | 91.33 346 | 98.14 319 | 99.77 85 | 98.28 168 | 99.96 33 | 95.41 311 | 99.55 236 | 98.58 302 |
|
FIs | | | 99.65 41 | 99.58 45 | 99.84 21 | 99.84 42 | 99.85 13 | 99.66 49 | 99.75 84 | 99.86 16 | 99.74 99 | 99.79 70 | 98.27 169 | 99.85 195 | 99.37 60 | 99.93 86 | 99.83 18 |
|
TAPA-MVS | | 97.92 13 | 98.03 265 | 97.55 277 | 99.46 168 | 99.47 228 | 99.44 117 | 98.50 258 | 99.62 144 | 86.79 349 | 99.07 249 | 99.26 263 | 98.26 170 | 99.62 333 | 97.28 227 | 99.73 197 | 99.31 230 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
v2v482 | | | 99.50 66 | 99.47 69 | 99.58 131 | 99.78 88 | 99.25 173 | 99.14 172 | 99.58 174 | 99.25 130 | 99.81 71 | 99.62 167 | 98.24 171 | 99.84 211 | 99.83 20 | 99.97 47 | 99.64 95 |
|
pmmvs4 | | | 99.13 156 | 99.06 149 | 99.36 199 | 99.57 184 | 99.10 198 | 98.01 303 | 99.25 269 | 98.78 187 | 99.58 148 | 99.44 226 | 98.24 171 | 99.76 278 | 98.74 134 | 99.93 86 | 99.22 238 |
|
mvs_anonymous | | | 99.28 117 | 99.39 82 | 98.94 250 | 99.19 290 | 97.81 283 | 99.02 194 | 99.55 182 | 99.78 34 | 99.85 57 | 99.80 63 | 98.24 171 | 99.86 179 | 99.57 42 | 99.50 244 | 99.15 251 |
|
zzz-MVS | | | 99.30 114 | 99.14 124 | 99.80 29 | 99.81 61 | 99.81 28 | 98.73 238 | 99.53 191 | 99.27 123 | 99.42 184 | 99.63 160 | 98.21 174 | 99.95 41 | 97.83 192 | 99.79 170 | 99.65 89 |
|
MTAPA | | | 99.35 102 | 99.20 120 | 99.80 29 | 99.81 61 | 99.81 28 | 99.33 108 | 99.53 191 | 99.27 123 | 99.42 184 | 99.63 160 | 98.21 174 | 99.95 41 | 97.83 192 | 99.79 170 | 99.65 89 |
|
MS-PatchMatch | | | 99.00 181 | 98.97 173 | 99.09 237 | 99.11 301 | 98.19 264 | 98.76 234 | 99.33 250 | 98.49 214 | 99.44 178 | 99.58 186 | 98.21 174 | 99.69 303 | 98.20 167 | 99.62 222 | 99.39 210 |
|
MVP-Stereo | | | 99.16 152 | 99.08 143 | 99.43 177 | 99.48 223 | 99.07 203 | 99.08 186 | 99.55 182 | 98.63 203 | 99.31 216 | 99.68 136 | 98.19 177 | 99.78 270 | 98.18 171 | 99.58 229 | 99.45 192 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
WR-MVS_H | | | 99.61 44 | 99.53 61 | 99.87 16 | 99.80 69 | 99.83 22 | 99.67 46 | 99.75 84 | 99.58 83 | 99.85 57 | 99.69 124 | 98.18 178 | 99.94 55 | 99.28 76 | 99.95 66 | 99.83 18 |
|
new_pmnet | | | 98.88 201 | 98.89 183 | 98.84 261 | 99.70 140 | 97.62 289 | 98.15 287 | 99.50 206 | 97.98 251 | 99.62 139 | 99.54 205 | 98.15 179 | 99.94 55 | 97.55 211 | 99.84 134 | 98.95 282 |
|
EU-MVSNet | | | 99.39 93 | 99.62 38 | 98.72 274 | 99.88 28 | 96.44 306 | 99.56 70 | 99.85 29 | 99.90 6 | 99.90 35 | 99.85 45 | 98.09 180 | 99.83 227 | 99.58 41 | 99.95 66 | 99.90 5 |
|
PMVS | | 92.94 21 | 98.82 207 | 98.81 195 | 98.85 259 | 99.84 42 | 97.99 276 | 99.20 150 | 99.47 215 | 99.71 47 | 99.42 184 | 99.82 58 | 98.09 180 | 99.47 345 | 93.88 331 | 99.85 130 | 99.07 274 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
HPM-MVS++ | | | 98.96 187 | 98.70 202 | 99.74 55 | 99.52 203 | 99.71 52 | 98.86 218 | 99.19 276 | 98.47 216 | 98.59 295 | 99.06 295 | 98.08 182 | 99.91 92 | 96.94 244 | 99.60 227 | 99.60 124 |
|
ab-mvs | | | 99.33 110 | 99.28 108 | 99.47 165 | 99.57 184 | 99.39 135 | 99.78 12 | 99.43 226 | 98.87 175 | 99.57 150 | 99.82 58 | 98.06 183 | 99.87 159 | 98.69 138 | 99.73 197 | 99.15 251 |
|
agg_prior1 | | | 98.33 252 | 97.92 261 | 99.57 137 | 99.35 255 | 99.36 147 | 97.99 307 | 99.39 238 | 94.85 334 | 97.76 336 | 98.98 303 | 98.03 184 | 99.85 195 | 95.49 307 | 99.44 251 | 99.51 168 |
|
N_pmnet | | | 98.73 217 | 98.53 218 | 99.35 200 | 99.72 130 | 98.67 235 | 98.34 274 | 94.65 355 | 98.35 230 | 99.79 79 | 99.68 136 | 98.03 184 | 99.93 66 | 98.28 162 | 99.92 89 | 99.44 197 |
|
TEST9 | | | | | | 99.35 255 | 99.35 151 | 98.11 293 | 99.41 229 | 94.83 335 | 97.92 326 | 98.99 300 | 98.02 186 | 99.85 195 | | | |
|
train_agg | | | 98.35 249 | 97.95 259 | 99.57 137 | 99.35 255 | 99.35 151 | 98.11 293 | 99.41 229 | 94.90 331 | 97.92 326 | 98.99 300 | 98.02 186 | 99.85 195 | 95.38 312 | 99.44 251 | 99.50 174 |
|
test_8 | | | | | | 99.34 265 | 99.31 157 | 98.08 298 | 99.40 235 | 94.90 331 | 97.87 330 | 98.97 306 | 98.02 186 | 99.84 211 | | | |
|
MVSFormer | | | 99.41 87 | 99.44 75 | 99.31 209 | 99.57 184 | 98.40 247 | 99.77 13 | 99.80 60 | 99.73 42 | 99.63 132 | 99.30 255 | 98.02 186 | 99.98 7 | 99.43 53 | 99.69 206 | 99.55 147 |
|
lupinMVS | | | 98.96 187 | 98.87 185 | 99.24 224 | 99.57 184 | 98.40 247 | 98.12 291 | 99.18 277 | 98.28 238 | 99.63 132 | 99.13 280 | 98.02 186 | 99.97 16 | 98.22 165 | 99.69 206 | 99.35 222 |
|
MIMVSNet1 | | | 99.66 36 | 99.62 38 | 99.80 29 | 99.94 15 | 99.87 9 | 99.69 38 | 99.77 73 | 99.78 34 | 99.93 26 | 99.89 31 | 97.94 191 | 99.92 83 | 99.65 35 | 99.98 36 | 99.62 113 |
|
原ACMM1 | | | | | 99.37 196 | 99.47 228 | 98.87 225 | | 99.27 264 | 96.74 301 | 98.26 310 | 99.32 250 | 97.93 192 | 99.82 235 | 95.96 289 | 99.38 263 | 99.43 203 |
|
test_prior3 | | | 98.62 221 | 98.34 234 | 99.46 168 | 99.35 255 | 99.22 180 | 97.95 312 | 99.39 238 | 97.87 257 | 98.05 321 | 99.05 296 | 97.90 193 | 99.69 303 | 95.99 286 | 99.49 246 | 99.48 181 |
|
test_prior2 | | | | | | | | 97.95 312 | | 97.87 257 | 98.05 321 | 99.05 296 | 97.90 193 | | 95.99 286 | 99.49 246 | |
|
RPSCF | | | 99.18 147 | 99.02 161 | 99.64 104 | 99.83 46 | 99.85 13 | 99.44 81 | 99.82 48 | 98.33 235 | 99.50 172 | 99.78 79 | 97.90 193 | 99.65 328 | 96.78 252 | 99.83 144 | 99.44 197 |
|
PMMVS | | | 98.49 234 | 98.29 237 | 99.11 235 | 98.96 310 | 98.42 246 | 97.54 328 | 99.32 252 | 97.53 279 | 98.47 304 | 98.15 338 | 97.88 196 | 99.82 235 | 97.46 216 | 99.24 280 | 99.09 267 |
|
NCCC | | | 98.82 207 | 98.57 214 | 99.58 131 | 99.21 286 | 99.31 157 | 98.61 242 | 99.25 269 | 98.65 201 | 98.43 305 | 99.26 263 | 97.86 197 | 99.81 254 | 96.55 264 | 99.27 277 | 99.61 118 |
|
UniMVSNet_NR-MVSNet | | | 99.37 97 | 99.25 114 | 99.72 68 | 99.47 228 | 99.56 93 | 98.97 206 | 99.61 148 | 99.43 106 | 99.67 117 | 99.28 259 | 97.85 198 | 99.95 41 | 99.17 88 | 99.81 162 | 99.65 89 |
|
TAMVS | | | 99.49 68 | 99.45 73 | 99.63 108 | 99.48 223 | 99.42 127 | 99.45 79 | 99.57 176 | 99.66 62 | 99.78 82 | 99.83 51 | 97.85 198 | 99.86 179 | 99.44 52 | 99.96 59 | 99.61 118 |
|
DP-MVS Recon | | | 98.50 232 | 98.23 240 | 99.31 209 | 99.49 217 | 99.46 110 | 98.56 250 | 99.63 141 | 94.86 333 | 98.85 273 | 99.37 237 | 97.81 200 | 99.59 338 | 96.08 279 | 99.44 251 | 98.88 287 |
|
PatchMatch-RL | | | 98.68 219 | 98.47 219 | 99.30 211 | 99.44 237 | 99.28 163 | 98.14 289 | 99.54 186 | 97.12 293 | 99.11 244 | 99.25 265 | 97.80 201 | 99.70 297 | 96.51 266 | 99.30 272 | 98.93 284 |
|
CP-MVSNet | | | 99.54 59 | 99.43 78 | 99.87 16 | 99.76 103 | 99.82 27 | 99.57 68 | 99.61 148 | 99.54 85 | 99.80 74 | 99.64 152 | 97.79 202 | 99.95 41 | 99.21 79 | 99.94 78 | 99.84 15 |
|
no-one | | | 99.28 117 | 99.23 117 | 99.45 172 | 99.87 32 | 99.08 201 | 98.95 208 | 99.52 201 | 98.88 174 | 99.77 87 | 99.83 51 | 97.78 203 | 99.90 109 | 98.46 149 | 99.99 20 | 99.38 213 |
|
114514_t | | | 98.49 234 | 98.11 249 | 99.64 104 | 99.73 120 | 99.58 90 | 99.24 140 | 99.76 79 | 89.94 348 | 99.42 184 | 99.56 198 | 97.76 204 | 99.86 179 | 97.74 197 | 99.82 153 | 99.47 186 |
|
agg_prior3 | | | 98.24 254 | 97.81 267 | 99.53 151 | 99.34 265 | 99.26 169 | 98.09 295 | 99.39 238 | 94.21 339 | 97.77 335 | 98.96 308 | 97.74 205 | 99.84 211 | 95.38 312 | 99.44 251 | 99.50 174 |
|
tmp_tt | | | 95.75 325 | 95.42 322 | 96.76 327 | 89.90 358 | 94.42 334 | 98.86 218 | 97.87 325 | 78.01 352 | 99.30 220 | 99.69 124 | 97.70 206 | 95.89 356 | 99.29 74 | 98.14 337 | 99.95 1 |
|
UniMVSNet (Re) | | | 99.37 97 | 99.26 112 | 99.68 82 | 99.51 207 | 99.58 90 | 98.98 205 | 99.60 162 | 99.43 106 | 99.70 109 | 99.36 242 | 97.70 206 | 99.88 139 | 99.20 82 | 99.87 120 | 99.59 135 |
|
Effi-MVS+-dtu | | | 99.07 165 | 98.92 179 | 99.52 153 | 98.89 317 | 99.78 35 | 99.15 167 | 99.66 124 | 99.34 116 | 98.92 266 | 99.24 270 | 97.69 208 | 99.98 7 | 98.11 176 | 99.28 274 | 98.81 293 |
|
mvs-test1 | | | 98.83 205 | 98.70 202 | 99.22 226 | 98.89 317 | 99.65 75 | 98.88 215 | 99.66 124 | 99.34 116 | 98.29 308 | 98.94 311 | 97.69 208 | 99.96 33 | 98.11 176 | 98.54 324 | 98.04 325 |
|
F-COLMAP | | | 98.74 215 | 98.45 220 | 99.62 116 | 99.57 184 | 99.47 106 | 98.84 222 | 99.65 133 | 96.31 310 | 98.93 264 | 99.19 277 | 97.68 210 | 99.87 159 | 96.52 265 | 99.37 265 | 99.53 157 |
|
新几何1 | | | | | 99.52 153 | 99.50 212 | 99.22 180 | | 99.26 266 | 95.66 323 | 98.60 294 | 99.28 259 | 97.67 211 | 99.89 124 | 95.95 290 | 99.32 270 | 99.45 192 |
|
旧先验1 | | | | | | 99.49 217 | 99.29 161 | | 99.26 266 | | | 99.39 235 | 97.67 211 | | | 99.36 266 | 99.46 190 |
|
DU-MVS | | | 99.33 110 | 99.21 119 | 99.71 72 | 99.43 239 | 99.56 93 | 98.83 224 | 99.53 191 | 99.38 112 | 99.67 117 | 99.36 242 | 97.67 211 | 99.95 41 | 99.17 88 | 99.81 162 | 99.63 99 |
|
Baseline_NR-MVSNet | | | 99.49 68 | 99.37 87 | 99.82 25 | 99.91 21 | 99.84 18 | 98.83 224 | 99.86 22 | 99.68 56 | 99.65 127 | 99.88 34 | 97.67 211 | 99.87 159 | 99.03 105 | 99.86 127 | 99.76 37 |
|
CANet | | | 99.11 161 | 99.05 154 | 99.28 212 | 98.83 323 | 98.56 239 | 98.71 240 | 99.41 229 | 99.25 130 | 99.23 228 | 99.22 274 | 97.66 215 | 99.94 55 | 99.19 83 | 99.97 47 | 99.33 225 |
|
VPNet | | | 99.46 77 | 99.37 87 | 99.71 72 | 99.82 53 | 99.59 88 | 99.48 78 | 99.70 107 | 99.81 28 | 99.69 111 | 99.58 186 | 97.66 215 | 99.86 179 | 99.17 88 | 99.44 251 | 99.67 69 |
|
Anonymous20231206 | | | 99.35 102 | 99.31 96 | 99.47 165 | 99.74 117 | 99.06 205 | 99.28 130 | 99.74 89 | 99.23 134 | 99.72 103 | 99.53 207 | 97.63 217 | 99.88 139 | 99.11 100 | 99.84 134 | 99.48 181 |
|
test12 | | | | | 99.54 150 | 99.29 276 | 99.33 154 | | 99.16 279 | | 98.43 305 | | 97.54 218 | 99.82 235 | | 99.47 248 | 99.48 181 |
|
NR-MVSNet | | | 99.40 90 | 99.31 96 | 99.68 82 | 99.43 239 | 99.55 96 | 99.73 21 | 99.50 206 | 99.46 99 | 99.88 46 | 99.36 242 | 97.54 218 | 99.87 159 | 98.97 114 | 99.87 120 | 99.63 99 |
|
testus | | | 98.15 259 | 98.06 252 | 98.40 286 | 99.11 301 | 95.95 313 | 96.77 343 | 99.89 15 | 95.83 317 | 99.23 228 | 98.47 334 | 97.50 220 | 99.84 211 | 96.58 263 | 99.20 283 | 99.39 210 |
|
MAR-MVS | | | 98.24 254 | 97.92 261 | 99.19 230 | 98.78 330 | 99.65 75 | 99.17 159 | 99.14 281 | 95.36 325 | 98.04 323 | 98.81 319 | 97.47 221 | 99.72 291 | 95.47 309 | 99.06 287 | 98.21 319 |
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 |
CHOSEN 1792x2688 | | | 99.39 93 | 99.30 101 | 99.65 97 | 99.88 28 | 99.25 173 | 98.78 233 | 99.88 18 | 98.66 200 | 99.96 8 | 99.79 70 | 97.45 222 | 99.93 66 | 99.34 63 | 99.99 20 | 99.78 31 |
|
PAPR | | | 97.56 276 | 97.07 282 | 99.04 244 | 98.80 327 | 98.11 270 | 97.63 324 | 99.25 269 | 94.56 337 | 98.02 324 | 98.25 337 | 97.43 223 | 99.68 311 | 90.90 338 | 98.74 308 | 99.33 225 |
|
YYNet1 | | | 98.95 190 | 98.99 169 | 98.84 261 | 99.64 159 | 97.14 298 | 98.22 282 | 99.32 252 | 98.92 171 | 99.59 147 | 99.66 146 | 97.40 224 | 99.83 227 | 98.27 163 | 99.90 101 | 99.55 147 |
|
PVSNet | | 97.47 15 | 98.42 241 | 98.44 221 | 98.35 288 | 99.46 232 | 96.26 308 | 96.70 345 | 99.34 249 | 97.68 269 | 99.00 254 | 99.13 280 | 97.40 224 | 99.72 291 | 97.59 210 | 99.68 208 | 99.08 270 |
|
1121 | | | 98.56 227 | 98.24 239 | 99.52 153 | 99.49 217 | 99.24 176 | 99.30 121 | 99.22 274 | 95.77 319 | 98.52 299 | 99.29 258 | 97.39 226 | 99.85 195 | 95.79 295 | 99.34 267 | 99.46 190 |
|
MDA-MVSNet_test_wron | | | 98.95 190 | 98.99 169 | 98.85 259 | 99.64 159 | 97.16 297 | 98.23 281 | 99.33 250 | 98.93 169 | 99.56 157 | 99.66 146 | 97.39 226 | 99.83 227 | 98.29 161 | 99.88 113 | 99.55 147 |
|
MG-MVS | | | 98.52 231 | 98.39 228 | 98.94 250 | 99.15 293 | 97.39 294 | 98.18 284 | 99.21 275 | 98.89 173 | 99.23 228 | 99.63 160 | 97.37 228 | 99.74 288 | 94.22 327 | 99.61 226 | 99.69 56 |
|
OpenMVS_ROB | | 97.31 17 | 97.36 280 | 96.84 290 | 98.89 258 | 99.29 276 | 99.45 115 | 98.87 217 | 99.48 211 | 86.54 351 | 99.44 178 | 99.74 94 | 97.34 229 | 99.86 179 | 91.61 335 | 99.28 274 | 97.37 342 |
|
AdaColmap | | | 98.60 223 | 98.35 233 | 99.38 192 | 99.12 298 | 99.22 180 | 98.67 241 | 99.42 228 | 97.84 261 | 98.81 275 | 99.27 261 | 97.32 230 | 99.81 254 | 95.14 315 | 99.53 241 | 99.10 264 |
|
test222 | | | | | | 99.51 207 | 99.08 201 | 97.83 321 | 99.29 260 | 95.21 328 | 98.68 289 | 99.31 252 | 97.28 231 | | | 99.38 263 | 99.43 203 |
|
HQP_MVS | | | 98.90 197 | 98.68 204 | 99.55 146 | 99.58 175 | 99.24 176 | 98.80 229 | 99.54 186 | 98.94 167 | 99.14 241 | 99.25 265 | 97.24 232 | 99.82 235 | 95.84 293 | 99.78 175 | 99.60 124 |
|
plane_prior6 | | | | | | 99.47 228 | 99.26 169 | | | | | | 97.24 232 | | | | |
|
diffmvs | | | 98.94 193 | 98.87 185 | 99.13 234 | 99.37 252 | 98.90 220 | 99.25 138 | 99.64 138 | 97.55 277 | 99.04 251 | 99.58 186 | 97.23 234 | 99.64 330 | 98.73 135 | 99.44 251 | 98.86 289 |
|
GBi-Net | | | 99.42 84 | 99.31 96 | 99.73 63 | 99.49 217 | 99.77 37 | 99.68 41 | 99.70 107 | 99.44 101 | 99.62 139 | 99.83 51 | 97.21 235 | 99.90 109 | 98.96 115 | 99.90 101 | 99.53 157 |
|
test1 | | | 99.42 84 | 99.31 96 | 99.73 63 | 99.49 217 | 99.77 37 | 99.68 41 | 99.70 107 | 99.44 101 | 99.62 139 | 99.83 51 | 97.21 235 | 99.90 109 | 98.96 115 | 99.90 101 | 99.53 157 |
|
FMVSNet2 | | | 99.35 102 | 99.28 108 | 99.55 146 | 99.49 217 | 99.35 151 | 99.45 79 | 99.57 176 | 99.44 101 | 99.70 109 | 99.74 94 | 97.21 235 | 99.87 159 | 99.03 105 | 99.94 78 | 99.44 197 |
|
BH-RMVSNet | | | 98.41 242 | 98.14 248 | 99.21 227 | 99.21 286 | 98.47 243 | 98.60 244 | 98.26 317 | 98.35 230 | 98.93 264 | 99.31 252 | 97.20 238 | 99.66 321 | 94.32 325 | 99.10 286 | 99.51 168 |
|
MVS-HIRNet | | | 97.86 268 | 98.22 241 | 96.76 327 | 99.28 278 | 91.53 349 | 98.38 271 | 92.60 356 | 99.13 150 | 99.31 216 | 99.96 11 | 97.18 239 | 99.68 311 | 98.34 156 | 99.83 144 | 99.07 274 |
|
PAPM_NR | | | 98.36 246 | 98.04 253 | 99.33 203 | 99.48 223 | 98.93 217 | 98.79 232 | 99.28 263 | 97.54 278 | 98.56 298 | 98.57 329 | 97.12 240 | 99.69 303 | 94.09 329 | 98.90 295 | 99.38 213 |
|
MVS_0304 | | | 99.17 150 | 99.10 140 | 99.38 192 | 99.08 304 | 98.86 226 | 98.46 265 | 99.73 92 | 99.53 87 | 99.35 206 | 99.30 255 | 97.11 241 | 99.96 33 | 99.33 65 | 99.99 20 | 99.33 225 |
|
CPTT-MVS | | | 98.74 215 | 98.44 221 | 99.64 104 | 99.61 168 | 99.38 141 | 99.18 152 | 99.55 182 | 96.49 308 | 99.27 221 | 99.37 237 | 97.11 241 | 99.92 83 | 95.74 297 | 99.67 214 | 99.62 113 |
|
CNLPA | | | 98.57 226 | 98.34 234 | 99.28 212 | 99.18 292 | 99.10 198 | 98.34 274 | 99.41 229 | 98.48 215 | 98.52 299 | 98.98 303 | 97.05 243 | 99.78 270 | 95.59 305 | 99.50 244 | 98.96 281 |
|
BH-untuned | | | 98.22 257 | 98.09 250 | 98.58 277 | 99.38 250 | 97.24 296 | 98.55 251 | 98.98 290 | 97.81 263 | 99.20 237 | 98.76 322 | 97.01 244 | 99.65 328 | 94.83 318 | 98.33 330 | 98.86 289 |
|
VDD-MVS | | | 99.20 142 | 99.11 133 | 99.44 174 | 99.43 239 | 98.98 208 | 99.50 74 | 98.32 316 | 99.80 31 | 99.56 157 | 99.69 124 | 96.99 245 | 99.85 195 | 98.99 108 | 99.73 197 | 99.50 174 |
|
PLC | | 97.35 16 | 98.36 246 | 97.99 255 | 99.48 163 | 99.32 270 | 99.24 176 | 98.50 258 | 99.51 203 | 95.19 329 | 98.58 296 | 98.96 308 | 96.95 246 | 99.83 227 | 95.63 304 | 99.25 278 | 99.37 217 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
WR-MVS | | | 99.11 161 | 98.93 176 | 99.66 93 | 99.30 275 | 99.42 127 | 98.42 269 | 99.37 244 | 99.04 160 | 99.57 150 | 99.20 276 | 96.89 247 | 99.86 179 | 98.66 141 | 99.87 120 | 99.70 53 |
|
HSP-MVS | | | 99.01 178 | 98.76 199 | 99.76 42 | 99.78 88 | 99.73 50 | 99.35 99 | 99.31 256 | 98.54 210 | 99.54 163 | 98.99 300 | 96.81 248 | 99.93 66 | 96.97 243 | 99.53 241 | 99.61 118 |
|
test1235678 | | | 98.93 194 | 98.84 190 | 99.19 230 | 99.46 232 | 98.55 240 | 97.53 330 | 99.77 73 | 98.76 191 | 99.69 111 | 99.48 218 | 96.69 249 | 99.90 109 | 98.30 160 | 99.91 99 | 99.11 260 |
|
HQP2-MVS | | | | | | | | | | | | | 96.67 250 | | | | |
|
HQP-MVS | | | 98.36 246 | 98.02 254 | 99.39 190 | 99.31 271 | 98.94 213 | 97.98 308 | 99.37 244 | 97.45 281 | 98.15 315 | 98.83 317 | 96.67 250 | 99.70 297 | 94.73 319 | 99.67 214 | 99.53 157 |
|
CANet_DTU | | | 98.91 195 | 98.85 188 | 99.09 237 | 98.79 328 | 98.13 267 | 98.18 284 | 99.31 256 | 99.48 92 | 98.86 272 | 99.51 213 | 96.56 252 | 99.95 41 | 99.05 104 | 99.95 66 | 99.19 244 |
|
pmmvs5 | | | 99.19 145 | 99.11 133 | 99.42 179 | 99.76 103 | 98.88 223 | 98.55 251 | 99.73 92 | 98.82 181 | 99.72 103 | 99.62 167 | 96.56 252 | 99.82 235 | 99.32 68 | 99.95 66 | 99.56 144 |
|
MVE | | 92.54 22 | 96.66 306 | 96.11 310 | 98.31 291 | 99.68 149 | 97.55 291 | 97.94 314 | 95.60 351 | 99.37 113 | 90.68 355 | 98.70 325 | 96.56 252 | 98.61 355 | 86.94 353 | 99.55 236 | 98.77 295 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
VNet | | | 99.18 147 | 99.06 149 | 99.56 143 | 99.24 283 | 99.36 147 | 99.33 108 | 99.31 256 | 99.67 58 | 99.47 175 | 99.57 193 | 96.48 255 | 99.84 211 | 99.15 92 | 99.30 272 | 99.47 186 |
|
MDA-MVSNet-bldmvs | | | 99.06 166 | 99.05 154 | 99.07 241 | 99.80 69 | 97.83 282 | 98.89 213 | 99.72 101 | 99.29 120 | 99.63 132 | 99.70 118 | 96.47 256 | 99.89 124 | 98.17 173 | 99.82 153 | 99.50 174 |
|
DeepMVS_CX | | | | | 97.98 299 | 99.69 142 | 96.95 300 | | 99.26 266 | 75.51 353 | 95.74 352 | 98.28 336 | 96.47 256 | 99.62 333 | 91.23 337 | 97.89 342 | 97.38 341 |
|
1112_ss | | | 99.05 169 | 98.84 190 | 99.67 85 | 99.66 154 | 99.29 161 | 98.52 256 | 99.82 48 | 97.65 270 | 99.43 182 | 99.16 278 | 96.42 258 | 99.91 92 | 99.07 103 | 99.84 134 | 99.80 25 |
|
TR-MVS | | | 97.44 277 | 97.15 281 | 98.32 290 | 98.53 340 | 97.46 292 | 98.47 261 | 97.91 324 | 96.85 297 | 98.21 314 | 98.51 332 | 96.42 258 | 99.51 343 | 92.16 334 | 97.29 346 | 97.98 330 |
|
sss | | | 98.90 197 | 98.77 198 | 99.27 214 | 99.48 223 | 98.44 244 | 98.72 239 | 99.32 252 | 97.94 254 | 99.37 203 | 99.35 247 | 96.31 260 | 99.91 92 | 98.85 125 | 99.63 221 | 99.47 186 |
|
CDS-MVSNet | | | 99.22 137 | 99.13 127 | 99.50 158 | 99.35 255 | 99.11 195 | 98.96 207 | 99.54 186 | 99.46 99 | 99.61 144 | 99.70 118 | 96.31 260 | 99.83 227 | 99.34 63 | 99.88 113 | 99.55 147 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
test_normal | | | 98.82 207 | 98.67 205 | 99.27 214 | 99.56 195 | 98.83 228 | 98.22 282 | 98.01 320 | 99.03 161 | 99.49 174 | 99.24 270 | 96.21 262 | 99.76 278 | 98.69 138 | 99.56 230 | 99.22 238 |
|
SixPastTwentyTwo | | | 99.42 84 | 99.30 101 | 99.76 42 | 99.92 19 | 99.67 68 | 99.70 29 | 99.14 281 | 99.65 65 | 99.89 38 | 99.90 23 | 96.20 263 | 99.94 55 | 99.42 57 | 99.92 89 | 99.67 69 |
|
DI_MVS_plusplus_test | | | 98.80 210 | 98.65 206 | 99.27 214 | 99.57 184 | 98.90 220 | 98.44 267 | 97.95 323 | 99.02 162 | 99.51 170 | 99.23 273 | 96.18 264 | 99.76 278 | 98.52 147 | 99.42 258 | 99.14 255 |
|
Test_1112_low_res | | | 98.95 190 | 98.73 200 | 99.63 108 | 99.68 149 | 99.15 192 | 98.09 295 | 99.80 60 | 97.14 291 | 99.46 177 | 99.40 232 | 96.11 265 | 99.89 124 | 99.01 107 | 99.84 134 | 99.84 15 |
|
IterMVS | | | 98.97 184 | 99.16 121 | 98.42 284 | 99.74 117 | 95.64 324 | 98.06 300 | 99.83 40 | 99.83 26 | 99.85 57 | 99.74 94 | 96.10 266 | 99.99 4 | 99.27 77 | 100.00 1 | 99.63 99 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
Patchmatch-test1 | | | 98.13 260 | 98.40 227 | 97.31 323 | 99.20 289 | 92.99 339 | 98.17 286 | 98.49 310 | 98.24 240 | 99.10 245 | 99.52 209 | 96.01 267 | 99.83 227 | 97.22 231 | 99.62 222 | 99.12 259 |
|
semantic-postprocess | | | | | 98.51 279 | 99.75 111 | 95.90 317 | | 99.84 37 | 99.84 23 | 99.89 38 | 99.73 98 | 95.96 268 | 99.99 4 | 99.33 65 | 100.00 1 | 99.63 99 |
|
PVSNet_0 | | 95.53 19 | 95.85 324 | 95.31 323 | 97.47 318 | 98.78 330 | 93.48 338 | 95.72 348 | 99.40 235 | 96.18 312 | 97.37 340 | 97.73 347 | 95.73 269 | 99.58 339 | 95.49 307 | 81.40 354 | 99.36 220 |
|
CMPMVS | | 77.52 23 | 98.50 232 | 98.19 246 | 99.41 186 | 98.33 344 | 99.56 93 | 99.01 196 | 99.59 166 | 95.44 324 | 99.57 150 | 99.80 63 | 95.64 270 | 99.46 348 | 96.47 269 | 99.92 89 | 99.21 241 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
BH-w/o | | | 97.20 287 | 97.01 285 | 97.76 310 | 99.08 304 | 95.69 323 | 98.03 302 | 98.52 307 | 95.76 320 | 97.96 325 | 98.02 339 | 95.62 271 | 99.47 345 | 92.82 333 | 97.25 347 | 98.12 323 |
|
cascas | | | 96.99 294 | 96.82 292 | 97.48 317 | 97.57 353 | 95.64 324 | 96.43 347 | 99.56 179 | 91.75 344 | 97.13 344 | 97.61 349 | 95.58 272 | 98.63 354 | 96.68 258 | 99.11 285 | 98.18 322 |
|
PNet_i23d | | | 97.02 293 | 97.87 266 | 94.49 340 | 99.69 142 | 84.81 359 | 95.18 352 | 99.85 29 | 97.83 262 | 99.32 214 | 99.57 193 | 95.53 273 | 99.47 345 | 96.09 278 | 97.74 344 | 99.18 247 |
|
UnsupCasMVSNet_bld | | | 98.55 229 | 98.27 238 | 99.40 187 | 99.56 195 | 99.37 144 | 97.97 311 | 99.68 116 | 97.49 280 | 99.08 246 | 99.35 247 | 95.41 274 | 99.82 235 | 97.70 199 | 98.19 335 | 99.01 280 |
|
UnsupCasMVSNet_eth | | | 98.83 205 | 98.57 214 | 99.59 127 | 99.68 149 | 99.45 115 | 98.99 201 | 99.67 120 | 99.48 92 | 99.55 160 | 99.36 242 | 94.92 275 | 99.86 179 | 98.95 119 | 96.57 349 | 99.45 192 |
|
EPP-MVSNet | | | 99.17 150 | 99.00 166 | 99.66 93 | 99.80 69 | 99.43 123 | 99.70 29 | 99.24 272 | 99.48 92 | 99.56 157 | 99.77 85 | 94.89 276 | 99.93 66 | 98.72 136 | 99.89 107 | 99.63 99 |
|
WTY-MVS | | | 98.59 225 | 98.37 231 | 99.26 219 | 99.43 239 | 98.40 247 | 98.74 235 | 99.13 283 | 98.10 245 | 99.21 232 | 99.24 270 | 94.82 277 | 99.90 109 | 97.86 190 | 98.77 304 | 99.49 180 |
|
IS-MVSNet | | | 99.03 172 | 98.85 188 | 99.55 146 | 99.80 69 | 99.25 173 | 99.73 21 | 99.15 280 | 99.37 113 | 99.61 144 | 99.71 111 | 94.73 278 | 99.81 254 | 97.70 199 | 99.88 113 | 99.58 139 |
|
test12356 | | | 98.43 239 | 98.39 228 | 98.55 278 | 99.46 232 | 96.36 307 | 97.32 337 | 99.81 56 | 97.60 273 | 99.62 139 | 99.37 237 | 94.57 279 | 99.89 124 | 97.80 194 | 99.92 89 | 99.40 208 |
|
lessismore_v0 | | | | | 99.64 104 | 99.86 35 | 99.38 141 | | 90.66 357 | | 99.89 38 | 99.83 51 | 94.56 280 | 99.97 16 | 99.56 43 | 99.92 89 | 99.57 143 |
|
PCF-MVS | | 96.03 18 | 96.73 304 | 95.86 316 | 99.33 203 | 99.44 237 | 99.16 190 | 96.87 342 | 99.44 223 | 86.58 350 | 98.95 262 | 99.40 232 | 94.38 281 | 99.88 139 | 87.93 347 | 99.80 167 | 98.95 282 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
VDDNet | | | 98.97 184 | 98.82 194 | 99.42 179 | 99.71 133 | 98.81 229 | 99.62 56 | 98.68 302 | 99.81 28 | 99.38 202 | 99.80 63 | 94.25 282 | 99.85 195 | 98.79 129 | 99.32 270 | 99.59 135 |
|
HY-MVS | | 98.23 9 | 98.21 258 | 97.95 259 | 98.99 247 | 99.03 309 | 98.24 260 | 99.61 60 | 98.72 300 | 96.81 299 | 98.73 283 | 99.51 213 | 94.06 283 | 99.86 179 | 96.91 245 | 98.20 333 | 98.86 289 |
|
EMVS | | | 96.96 295 | 97.28 279 | 95.99 339 | 98.76 332 | 91.03 351 | 95.26 351 | 98.61 304 | 99.34 116 | 98.92 266 | 98.88 316 | 93.79 284 | 99.66 321 | 92.87 332 | 99.05 288 | 97.30 343 |
|
EPNet_dtu | | | 97.62 274 | 97.79 270 | 97.11 326 | 96.67 356 | 92.31 342 | 98.51 257 | 98.04 318 | 99.24 132 | 95.77 351 | 99.47 221 | 93.78 285 | 99.66 321 | 98.98 110 | 99.62 222 | 99.37 217 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
K. test v3 | | | 98.87 202 | 98.60 209 | 99.69 79 | 99.93 18 | 99.46 110 | 99.74 19 | 94.97 354 | 99.78 34 | 99.88 46 | 99.88 34 | 93.66 286 | 99.97 16 | 99.61 38 | 99.95 66 | 99.64 95 |
|
CHOSEN 280x420 | | | 98.41 242 | 98.41 226 | 98.40 286 | 99.34 265 | 95.89 318 | 96.94 341 | 99.44 223 | 98.80 184 | 99.25 224 | 99.52 209 | 93.51 287 | 99.98 7 | 98.94 120 | 99.98 36 | 99.32 229 |
|
LP | | | 98.34 251 | 98.44 221 | 98.05 298 | 98.88 320 | 95.31 329 | 99.28 130 | 98.74 299 | 99.12 151 | 98.98 255 | 99.79 70 | 93.40 288 | 99.93 66 | 98.38 152 | 99.41 260 | 98.90 286 |
|
CVMVSNet | | | 98.61 222 | 98.88 184 | 97.80 309 | 99.58 175 | 93.60 337 | 99.26 134 | 99.64 138 | 99.66 62 | 99.72 103 | 99.67 142 | 93.26 289 | 99.93 66 | 99.30 71 | 99.81 162 | 99.87 10 |
|
EPNet | | | 98.13 260 | 97.77 271 | 99.18 233 | 94.57 357 | 97.99 276 | 99.24 140 | 97.96 321 | 99.74 40 | 97.29 342 | 99.62 167 | 93.13 290 | 99.97 16 | 98.59 142 | 99.83 144 | 99.58 139 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
Test4 | | | 98.65 220 | 98.44 221 | 99.27 214 | 99.57 184 | 98.86 226 | 98.43 268 | 99.41 229 | 98.85 177 | 99.57 150 | 98.95 310 | 93.05 291 | 99.75 284 | 98.57 143 | 99.56 230 | 99.19 244 |
|
PAPM | | | 95.61 327 | 94.71 328 | 98.31 291 | 99.12 298 | 96.63 303 | 96.66 346 | 98.46 311 | 90.77 347 | 96.25 348 | 98.68 326 | 93.01 292 | 99.69 303 | 81.60 354 | 97.86 343 | 98.62 298 |
|
Vis-MVSNet (Re-imp) | | | 98.77 213 | 98.58 212 | 99.34 201 | 99.78 88 | 98.88 223 | 99.61 60 | 99.56 179 | 99.11 152 | 99.24 227 | 99.56 198 | 93.00 293 | 99.78 270 | 97.43 218 | 99.89 107 | 99.35 222 |
|
E-PMN | | | 97.14 292 | 97.43 278 | 96.27 335 | 98.79 328 | 91.62 348 | 95.54 349 | 99.01 289 | 99.44 101 | 98.88 270 | 99.12 284 | 92.78 294 | 99.68 311 | 94.30 326 | 99.03 290 | 97.50 339 |
|
FMVSNet3 | | | 98.80 210 | 98.63 208 | 99.32 207 | 99.13 296 | 98.72 232 | 99.10 181 | 99.48 211 | 99.23 134 | 99.62 139 | 99.64 152 | 92.57 295 | 99.86 179 | 98.96 115 | 99.90 101 | 99.39 210 |
|
HyFIR lowres test | | | 98.91 195 | 98.64 207 | 99.73 63 | 99.85 39 | 99.47 106 | 98.07 299 | 99.83 40 | 98.64 202 | 99.89 38 | 99.60 178 | 92.57 295 | 100.00 1 | 99.33 65 | 99.97 47 | 99.72 46 |
|
RPMNet | | | 98.53 230 | 98.44 221 | 98.83 263 | 99.05 307 | 98.12 268 | 99.30 121 | 98.78 297 | 99.86 16 | 99.16 238 | 99.74 94 | 92.53 297 | 99.91 92 | 98.75 133 | 98.77 304 | 98.44 308 |
|
tpmvs | | | 97.39 278 | 97.69 273 | 96.52 333 | 98.41 342 | 91.76 346 | 99.30 121 | 98.94 291 | 97.74 264 | 97.85 331 | 99.55 203 | 92.40 298 | 99.73 290 | 96.25 275 | 98.73 310 | 98.06 324 |
|
tpmrst | | | 97.73 271 | 98.07 251 | 96.73 329 | 98.71 335 | 92.00 343 | 99.10 181 | 98.86 292 | 98.52 211 | 98.92 266 | 99.54 205 | 91.90 299 | 99.82 235 | 98.02 180 | 99.03 290 | 98.37 310 |
|
JIA-IIPM | | | 98.06 264 | 97.92 261 | 98.50 282 | 98.59 338 | 97.02 299 | 98.80 229 | 98.51 308 | 99.88 12 | 97.89 328 | 99.87 37 | 91.89 300 | 99.90 109 | 98.16 174 | 97.68 345 | 98.59 300 |
|
CR-MVSNet | | | 98.35 249 | 98.20 243 | 98.83 263 | 99.05 307 | 98.12 268 | 99.30 121 | 99.67 120 | 97.39 284 | 99.16 238 | 99.79 70 | 91.87 301 | 99.91 92 | 98.78 132 | 98.77 304 | 98.44 308 |
|
Patchmtry | | | 98.78 212 | 98.54 217 | 99.49 160 | 98.89 317 | 99.19 188 | 99.32 111 | 99.67 120 | 99.65 65 | 99.72 103 | 99.79 70 | 91.87 301 | 99.95 41 | 98.00 183 | 99.97 47 | 99.33 225 |
|
MDTV_nov1_ep13_2view | | | | | | | 91.44 350 | 99.14 172 | | 97.37 285 | 99.21 232 | | 91.78 303 | | 96.75 254 | | 99.03 278 |
|
PatchT | | | 98.45 238 | 98.32 236 | 98.83 263 | 98.94 311 | 98.29 259 | 99.24 140 | 98.82 295 | 99.84 23 | 99.08 246 | 99.76 88 | 91.37 304 | 99.94 55 | 98.82 128 | 99.00 292 | 98.26 315 |
|
tpm cat1 | | | 96.78 303 | 96.98 286 | 96.16 338 | 98.85 322 | 90.59 355 | 99.08 186 | 99.32 252 | 92.37 343 | 97.73 338 | 99.46 224 | 91.15 305 | 99.69 303 | 96.07 280 | 98.80 301 | 98.21 319 |
|
LFMVS | | | 98.46 237 | 98.19 246 | 99.26 219 | 99.24 283 | 98.52 242 | 99.62 56 | 96.94 339 | 99.87 13 | 99.31 216 | 99.58 186 | 91.04 306 | 99.81 254 | 98.68 140 | 99.42 258 | 99.45 192 |
|
MDTV_nov1_ep13 | | | | 97.73 272 | | 98.70 336 | 90.83 352 | 99.15 167 | 98.02 319 | 98.51 212 | 98.82 274 | 99.61 175 | 90.98 307 | 99.66 321 | 96.89 247 | 98.92 293 | |
|
MIMVSNet | | | 98.43 239 | 98.20 243 | 99.11 235 | 99.53 201 | 98.38 250 | 99.58 67 | 98.61 304 | 98.96 165 | 99.33 212 | 99.76 88 | 90.92 308 | 99.81 254 | 97.38 221 | 99.76 181 | 99.15 251 |
|
ADS-MVSNet2 | | | 97.78 270 | 97.66 276 | 98.12 297 | 99.14 294 | 95.36 327 | 99.22 146 | 98.75 298 | 96.97 295 | 98.25 311 | 99.64 152 | 90.90 309 | 99.94 55 | 96.51 266 | 99.56 230 | 99.08 270 |
|
ADS-MVSNet | | | 97.72 272 | 97.67 275 | 97.86 307 | 99.14 294 | 94.65 333 | 99.22 146 | 98.86 292 | 96.97 295 | 98.25 311 | 99.64 152 | 90.90 309 | 99.84 211 | 96.51 266 | 99.56 230 | 99.08 270 |
|
alignmvs | | | 98.28 253 | 97.96 258 | 99.25 222 | 99.12 298 | 98.93 217 | 99.03 193 | 98.42 313 | 99.64 67 | 98.72 284 | 97.85 341 | 90.86 311 | 99.62 333 | 98.88 124 | 99.13 284 | 99.19 244 |
|
sam_mvs1 | | | | | | | | | | | | | 90.81 312 | | | | 99.14 255 |
|
PatchmatchNet | | | 97.65 273 | 97.80 268 | 97.18 324 | 98.82 326 | 92.49 341 | 99.17 159 | 98.39 314 | 98.12 244 | 98.79 278 | 99.58 186 | 90.71 313 | 99.89 124 | 97.23 230 | 99.41 260 | 99.16 250 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
patchmatchnet-post | | | | | | | | | | | | 99.62 167 | 90.58 314 | 99.94 55 | | | |
|
Patchmatch-RL test | | | 98.60 223 | 98.36 232 | 99.33 203 | 99.77 98 | 99.07 203 | 98.27 278 | 99.87 20 | 98.91 172 | 99.74 99 | 99.72 104 | 90.57 315 | 99.79 262 | 98.55 145 | 99.85 130 | 99.11 260 |
|
sam_mvs | | | | | | | | | | | | | 90.52 316 | | | | |
|
pmmvs3 | | | 98.08 263 | 97.80 268 | 98.91 253 | 99.41 243 | 97.69 287 | 97.87 319 | 99.66 124 | 95.87 316 | 99.50 172 | 99.51 213 | 90.35 317 | 99.97 16 | 98.55 145 | 99.47 248 | 99.08 270 |
|
test_post | | | | | | | | | | | | 52.41 362 | 90.25 318 | 99.86 179 | | | |
|
Patchmatch-test | | | 98.10 262 | 97.98 257 | 98.48 283 | 99.27 280 | 96.48 305 | 99.40 85 | 99.07 284 | 98.81 182 | 99.23 228 | 99.57 193 | 90.11 319 | 99.87 159 | 96.69 257 | 99.64 220 | 99.09 267 |
|
test-LLR | | | 97.15 290 | 96.95 287 | 97.74 312 | 98.18 347 | 95.02 331 | 97.38 333 | 96.10 341 | 98.00 248 | 97.81 332 | 98.58 327 | 90.04 320 | 99.91 92 | 97.69 204 | 98.78 302 | 98.31 313 |
|
test0.0.03 1 | | | 97.37 279 | 96.91 289 | 98.74 273 | 97.72 350 | 97.57 290 | 97.60 326 | 97.36 338 | 98.00 248 | 99.21 232 | 98.02 339 | 90.04 320 | 99.79 262 | 98.37 153 | 95.89 352 | 98.86 289 |
|
GA-MVS | | | 97.99 267 | 97.68 274 | 98.93 252 | 99.52 203 | 98.04 275 | 97.19 339 | 99.05 287 | 98.32 236 | 98.81 275 | 98.97 306 | 89.89 322 | 99.41 349 | 98.33 157 | 99.05 288 | 99.34 224 |
|
test_post1 | | | | | | | | 99.14 172 | | | | 51.63 363 | 89.54 323 | 99.82 235 | 96.86 248 | | |
|
PatchFormer-LS_test | | | 96.95 296 | 97.07 282 | 96.62 332 | 98.76 332 | 91.85 345 | 99.18 152 | 98.45 312 | 97.29 288 | 97.73 338 | 97.22 357 | 88.77 324 | 99.76 278 | 98.13 175 | 98.04 339 | 98.25 316 |
|
MVSTER | | | 98.47 236 | 98.22 241 | 99.24 224 | 99.06 306 | 98.35 252 | 99.08 186 | 99.46 218 | 99.27 123 | 99.75 91 | 99.66 146 | 88.61 325 | 99.85 195 | 99.14 98 | 99.92 89 | 99.52 165 |
|
view600 | | | 96.86 298 | 96.52 301 | 97.88 303 | 99.69 142 | 95.87 319 | 99.39 86 | 97.68 327 | 99.11 152 | 98.96 258 | 97.82 343 | 87.40 326 | 99.79 262 | 89.78 339 | 98.83 297 | 97.98 330 |
|
view800 | | | 96.86 298 | 96.52 301 | 97.88 303 | 99.69 142 | 95.87 319 | 99.39 86 | 97.68 327 | 99.11 152 | 98.96 258 | 97.82 343 | 87.40 326 | 99.79 262 | 89.78 339 | 98.83 297 | 97.98 330 |
|
conf0.05thres1000 | | | 96.86 298 | 96.52 301 | 97.88 303 | 99.69 142 | 95.87 319 | 99.39 86 | 97.68 327 | 99.11 152 | 98.96 258 | 97.82 343 | 87.40 326 | 99.79 262 | 89.78 339 | 98.83 297 | 97.98 330 |
|
tfpn | | | 96.86 298 | 96.52 301 | 97.88 303 | 99.69 142 | 95.87 319 | 99.39 86 | 97.68 327 | 99.11 152 | 98.96 258 | 97.82 343 | 87.40 326 | 99.79 262 | 89.78 339 | 98.83 297 | 97.98 330 |
|
dp | | | 96.86 298 | 97.07 282 | 96.24 337 | 98.68 337 | 90.30 356 | 99.19 151 | 98.38 315 | 97.35 286 | 98.23 313 | 99.59 184 | 87.23 330 | 99.82 235 | 96.27 274 | 98.73 310 | 98.59 300 |
|
tfpn111 | | | 96.50 309 | 96.12 309 | 97.65 314 | 99.63 161 | 95.93 314 | 99.18 152 | 97.57 331 | 98.75 193 | 98.70 286 | 97.31 353 | 87.04 331 | 99.72 291 | 88.27 346 | 98.61 315 | 97.30 343 |
|
conf200view11 | | | 96.43 310 | 96.03 312 | 97.63 315 | 99.63 161 | 95.93 314 | 99.18 152 | 97.57 331 | 98.75 193 | 98.70 286 | 97.31 353 | 87.04 331 | 99.67 316 | 87.62 348 | 98.51 325 | 97.30 343 |
|
thres100view900 | | | 96.39 312 | 96.03 312 | 97.47 318 | 99.63 161 | 95.93 314 | 99.18 152 | 97.57 331 | 98.75 193 | 98.70 286 | 97.31 353 | 87.04 331 | 99.67 316 | 87.62 348 | 98.51 325 | 96.81 348 |
|
thres600view7 | | | 96.60 307 | 96.16 308 | 97.93 301 | 99.63 161 | 96.09 312 | 99.18 152 | 97.57 331 | 98.77 188 | 98.72 284 | 97.32 352 | 87.04 331 | 99.72 291 | 88.57 344 | 98.62 314 | 97.98 330 |
|
tfpn200view9 | | | 96.30 315 | 95.89 314 | 97.53 316 | 99.58 175 | 96.11 310 | 99.00 198 | 97.54 336 | 98.43 217 | 98.52 299 | 96.98 358 | 86.85 335 | 99.67 316 | 87.62 348 | 98.51 325 | 96.81 348 |
|
thres400 | | | 96.40 311 | 95.89 314 | 97.92 302 | 99.58 175 | 96.11 310 | 99.00 198 | 97.54 336 | 98.43 217 | 98.52 299 | 96.98 358 | 86.85 335 | 99.67 316 | 87.62 348 | 98.51 325 | 97.98 330 |
|
thres200 | | | 96.09 319 | 95.68 320 | 97.33 322 | 99.48 223 | 96.22 309 | 98.53 255 | 97.57 331 | 98.06 247 | 98.37 307 | 96.73 360 | 86.84 337 | 99.61 337 | 86.99 352 | 98.57 316 | 96.16 351 |
|
tpm | | | 97.15 290 | 96.95 287 | 97.75 311 | 98.91 312 | 94.24 335 | 99.32 111 | 97.96 321 | 97.71 266 | 98.29 308 | 99.32 250 | 86.72 338 | 99.92 83 | 98.10 178 | 96.24 351 | 99.09 267 |
|
EPMVS | | | 96.53 308 | 96.32 306 | 97.17 325 | 98.18 347 | 92.97 340 | 99.39 86 | 89.95 358 | 98.21 241 | 98.61 293 | 99.59 184 | 86.69 339 | 99.72 291 | 96.99 242 | 99.23 282 | 98.81 293 |
|
conf0.01 | | | 97.19 288 | 96.74 294 | 98.51 279 | 99.73 120 | 98.35 252 | 99.35 99 | 95.78 345 | 96.54 302 | 99.39 195 | 99.08 287 | 86.57 340 | 99.88 139 | 95.69 298 | 98.57 316 | 97.30 343 |
|
conf0.002 | | | 97.19 288 | 96.74 294 | 98.51 279 | 99.73 120 | 98.35 252 | 99.35 99 | 95.78 345 | 96.54 302 | 99.39 195 | 99.08 287 | 86.57 340 | 99.88 139 | 95.69 298 | 98.57 316 | 97.30 343 |
|
thresconf0.02 | | | 97.25 283 | 96.74 294 | 98.75 269 | 99.73 120 | 98.35 252 | 99.35 99 | 95.78 345 | 96.54 302 | 99.39 195 | 99.08 287 | 86.57 340 | 99.88 139 | 95.69 298 | 98.57 316 | 98.02 326 |
|
tfpn_n400 | | | 97.25 283 | 96.74 294 | 98.75 269 | 99.73 120 | 98.35 252 | 99.35 99 | 95.78 345 | 96.54 302 | 99.39 195 | 99.08 287 | 86.57 340 | 99.88 139 | 95.69 298 | 98.57 316 | 98.02 326 |
|
tfpnconf | | | 97.25 283 | 96.74 294 | 98.75 269 | 99.73 120 | 98.35 252 | 99.35 99 | 95.78 345 | 96.54 302 | 99.39 195 | 99.08 287 | 86.57 340 | 99.88 139 | 95.69 298 | 98.57 316 | 98.02 326 |
|
tfpnview11 | | | 97.25 283 | 96.74 294 | 98.75 269 | 99.73 120 | 98.35 252 | 99.35 99 | 95.78 345 | 96.54 302 | 99.39 195 | 99.08 287 | 86.57 340 | 99.88 139 | 95.69 298 | 98.57 316 | 98.02 326 |
|
CostFormer | | | 96.71 305 | 96.79 293 | 96.46 334 | 98.90 313 | 90.71 353 | 99.41 83 | 98.68 302 | 94.69 336 | 98.14 319 | 99.34 249 | 86.32 346 | 99.80 259 | 97.60 209 | 98.07 338 | 98.88 287 |
|
tfpn1000 | | | 97.28 282 | 96.83 291 | 98.64 276 | 99.67 153 | 97.68 288 | 99.41 83 | 95.47 352 | 97.14 291 | 99.43 182 | 99.07 294 | 85.87 347 | 99.88 139 | 96.78 252 | 98.67 312 | 98.34 312 |
|
tfpn_ndepth | | | 96.93 297 | 96.43 305 | 98.42 284 | 99.60 169 | 97.72 284 | 99.22 146 | 95.16 353 | 95.91 315 | 99.26 223 | 98.79 320 | 85.56 348 | 99.87 159 | 96.03 283 | 98.35 329 | 97.68 338 |
|
tpm2 | | | 96.35 313 | 96.22 307 | 96.73 329 | 98.88 320 | 91.75 347 | 99.21 149 | 98.51 308 | 93.27 342 | 97.89 328 | 99.21 275 | 84.83 349 | 99.70 297 | 96.04 282 | 98.18 336 | 98.75 296 |
|
tpmp4_e23 | | | 96.11 318 | 96.06 311 | 96.27 335 | 98.90 313 | 90.70 354 | 99.34 106 | 99.03 288 | 93.72 340 | 96.56 346 | 99.31 252 | 83.63 350 | 99.75 284 | 96.06 281 | 98.02 340 | 98.35 311 |
|
testpf | | | 94.48 329 | 95.31 323 | 91.99 342 | 97.22 354 | 89.64 357 | 98.86 218 | 96.52 340 | 94.36 338 | 96.09 350 | 98.76 322 | 82.21 351 | 98.73 353 | 97.05 240 | 96.74 348 | 87.60 353 |
|
FPMVS | | | 96.32 314 | 95.50 321 | 98.79 266 | 99.60 169 | 98.17 266 | 98.46 265 | 98.80 296 | 97.16 290 | 96.28 347 | 99.63 160 | 82.19 352 | 99.09 351 | 88.45 345 | 98.89 296 | 99.10 264 |
|
gg-mvs-nofinetune | | | 95.87 323 | 95.17 326 | 97.97 300 | 98.19 346 | 96.95 300 | 99.69 38 | 89.23 359 | 99.89 10 | 96.24 349 | 99.94 13 | 81.19 353 | 99.51 343 | 93.99 330 | 98.20 333 | 97.44 340 |
|
DWT-MVSNet_test | | | 96.03 321 | 95.80 318 | 96.71 331 | 98.50 341 | 91.93 344 | 99.25 138 | 97.87 325 | 95.99 314 | 96.81 345 | 97.61 349 | 81.02 354 | 99.66 321 | 97.20 234 | 97.98 341 | 98.54 303 |
|
test2356 | | | 95.99 322 | 95.26 325 | 98.18 295 | 96.93 355 | 95.53 326 | 95.31 350 | 98.71 301 | 95.67 322 | 98.48 303 | 97.83 342 | 80.72 355 | 99.88 139 | 95.47 309 | 98.21 332 | 99.11 260 |
|
GG-mvs-BLEND | | | | | 97.36 321 | 97.59 351 | 96.87 302 | 99.70 29 | 88.49 360 | | 94.64 354 | 97.26 356 | 80.66 356 | 99.12 350 | 91.50 336 | 96.50 350 | 96.08 352 |
|
FMVSNet5 | | | 97.80 269 | 97.25 280 | 99.42 179 | 98.83 323 | 98.97 210 | 99.38 92 | 99.80 60 | 98.87 175 | 99.25 224 | 99.69 124 | 80.60 357 | 99.91 92 | 98.96 115 | 99.90 101 | 99.38 213 |
|
TESTMET0.1,1 | | | 96.24 316 | 95.84 317 | 97.41 320 | 98.24 345 | 93.84 336 | 97.38 333 | 95.84 344 | 98.43 217 | 97.81 332 | 98.56 330 | 79.77 358 | 99.89 124 | 97.77 195 | 98.77 304 | 98.52 304 |
|
test-mter | | | 96.23 317 | 95.73 319 | 97.74 312 | 98.18 347 | 95.02 331 | 97.38 333 | 96.10 341 | 97.90 255 | 97.81 332 | 98.58 327 | 79.12 359 | 99.91 92 | 97.69 204 | 98.78 302 | 98.31 313 |
|
IB-MVS | | 95.41 20 | 95.30 328 | 94.46 330 | 97.84 308 | 98.76 332 | 95.33 328 | 97.33 336 | 96.07 343 | 96.02 313 | 95.37 353 | 97.41 351 | 76.17 360 | 99.96 33 | 97.54 212 | 95.44 353 | 98.22 318 |
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 |
1111 | | | 97.29 281 | 96.71 300 | 99.04 244 | 99.65 157 | 97.72 284 | 98.35 272 | 99.80 60 | 99.40 109 | 99.66 121 | 99.43 227 | 75.10 361 | 99.87 159 | 98.98 110 | 99.98 36 | 99.52 165 |
|
.test1245 | | | 85.84 330 | 89.27 331 | 75.54 343 | 99.65 157 | 97.72 284 | 98.35 272 | 99.80 60 | 99.40 109 | 99.66 121 | 99.43 227 | 75.10 361 | 99.87 159 | 98.98 110 | 33.07 355 | 29.03 356 |
|
test123 | | | 29.31 332 | 33.05 335 | 18.08 345 | 25.93 360 | 12.24 360 | 97.53 330 | 10.93 362 | 11.78 355 | 24.21 356 | 50.08 365 | 21.04 363 | 8.60 358 | 23.51 355 | 32.43 357 | 33.39 355 |
|
testmvs | | | 28.94 333 | 33.33 333 | 15.79 346 | 26.03 359 | 9.81 361 | 96.77 343 | 15.67 361 | 11.55 356 | 23.87 357 | 50.74 364 | 19.03 364 | 8.53 359 | 23.21 356 | 33.07 355 | 29.03 356 |
|
sosnet-low-res | | | 8.33 336 | 11.11 337 | 0.00 347 | 0.00 361 | 0.00 362 | 0.00 353 | 0.00 363 | 0.00 357 | 0.00 358 | 100.00 1 | 0.00 365 | 0.00 360 | 0.00 357 | 0.00 358 | 0.00 358 |
|
sosnet | | | 8.33 336 | 11.11 337 | 0.00 347 | 0.00 361 | 0.00 362 | 0.00 353 | 0.00 363 | 0.00 357 | 0.00 358 | 100.00 1 | 0.00 365 | 0.00 360 | 0.00 357 | 0.00 358 | 0.00 358 |
|
uncertanet | | | 8.33 336 | 11.11 337 | 0.00 347 | 0.00 361 | 0.00 362 | 0.00 353 | 0.00 363 | 0.00 357 | 0.00 358 | 100.00 1 | 0.00 365 | 0.00 360 | 0.00 357 | 0.00 358 | 0.00 358 |
|
Regformer | | | 8.33 336 | 11.11 337 | 0.00 347 | 0.00 361 | 0.00 362 | 0.00 353 | 0.00 363 | 0.00 357 | 0.00 358 | 100.00 1 | 0.00 365 | 0.00 360 | 0.00 357 | 0.00 358 | 0.00 358 |
|
ab-mvs-re | | | 8.26 341 | 11.02 342 | 0.00 347 | 0.00 361 | 0.00 362 | 0.00 353 | 0.00 363 | 0.00 357 | 0.00 358 | 99.16 278 | 0.00 365 | 0.00 360 | 0.00 357 | 0.00 358 | 0.00 358 |
|
uanet | | | 8.33 336 | 11.11 337 | 0.00 347 | 0.00 361 | 0.00 362 | 0.00 353 | 0.00 363 | 0.00 357 | 0.00 358 | 100.00 1 | 0.00 365 | 0.00 360 | 0.00 357 | 0.00 358 | 0.00 358 |
|
GSMVS | | | | | | | | | | | | | | | | | 99.14 255 |
|
test_part3 | | | | | | | | 98.74 235 | | 97.71 266 | | 99.57 193 | | 99.90 109 | 94.47 323 | | |
|
test_part2 | | | | | | 99.62 166 | 99.67 68 | | | | 99.55 160 | | | | | | |
|
MTGPA | | | | | | | | | 99.53 191 | | | | | | | | |
|
MTMP | | | | | | | | | 98.59 306 | | | | | | | | |
|
gm-plane-assit | | | | | | 97.59 351 | 89.02 358 | | | 93.47 341 | | 98.30 335 | | 99.84 211 | 96.38 270 | | |
|
test9_res | | | | | | | | | | | | | | | 95.10 316 | 99.44 251 | 99.50 174 |
|
agg_prior2 | | | | | | | | | | | | | | | 94.58 322 | 99.46 250 | 99.50 174 |
|
agg_prior | | | | | | 99.35 255 | 99.36 147 | | 99.39 238 | | 97.76 336 | | | 99.85 195 | | | |
|
test_prior4 | | | | | | | 99.19 188 | 98.00 305 | | | | | | | | | |
|
test_prior | | | | | 99.46 168 | 99.35 255 | 99.22 180 | | 99.39 238 | | | | | 99.69 303 | | | 99.48 181 |
|
旧先验2 | | | | | | | | 97.94 314 | | 95.33 326 | 98.94 263 | | | 99.88 139 | 96.75 254 | | |
|
新几何2 | | | | | | | | 98.04 301 | | | | | | | | | |
|
无先验 | | | | | | | | 98.01 303 | 99.23 273 | 95.83 317 | | | | 99.85 195 | 95.79 295 | | 99.44 197 |
|
原ACMM2 | | | | | | | | 97.92 316 | | | | | | | | | |
|
testdata2 | | | | | | | | | | | | | | 99.89 124 | 95.99 286 | | |
|
testdata1 | | | | | | | | 97.72 323 | | 97.86 260 | | | | | | | |
|
plane_prior7 | | | | | | 99.58 175 | 99.38 141 | | | | | | | | | | |
|
plane_prior5 | | | | | | | | | 99.54 186 | | | | | 99.82 235 | 95.84 293 | 99.78 175 | 99.60 124 |
|
plane_prior4 | | | | | | | | | | | | 99.25 265 | | | | | |
|
plane_prior3 | | | | | | | 99.31 157 | | | 98.36 225 | 99.14 241 | | | | | | |
|
plane_prior2 | | | | | | | | 98.80 229 | | 98.94 167 | | | | | | | |
|
plane_prior1 | | | | | | 99.51 207 | | | | | | | | | | | |
|
plane_prior | | | | | | | 99.24 176 | 98.42 269 | | 97.87 257 | | | | | | 99.71 203 | |
|
n2 | | | | | | | | | 0.00 363 | | | | | | | | |
|
nn | | | | | | | | | 0.00 363 | | | | | | | | |
|
door-mid | | | | | | | | | 99.83 40 | | | | | | | | |
|
test11 | | | | | | | | | 99.29 260 | | | | | | | | |
|
door | | | | | | | | | 99.77 73 | | | | | | | | |
|
HQP5-MVS | | | | | | | 98.94 213 | | | | | | | | | | |
|
HQP-NCC | | | | | | 99.31 271 | | 97.98 308 | | 97.45 281 | 98.15 315 | | | | | | |
|
ACMP_Plane | | | | | | 99.31 271 | | 97.98 308 | | 97.45 281 | 98.15 315 | | | | | | |
|
BP-MVS | | | | | | | | | | | | | | | 94.73 319 | | |
|
HQP4-MVS | | | | | | | | | | | 98.15 315 | | | 99.70 297 | | | 99.53 157 |
|
HQP3-MVS | | | | | | | | | 99.37 244 | | | | | | | 99.67 214 | |
|
NP-MVS | | | | | | 99.40 246 | 99.13 193 | | | | | 98.83 317 | | | | | |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 99.94 78 | |
|
ACMMP++ | | | | | | | | | | | | | | | | 99.79 170 | |
|