| LCM-MVSNet | | | 99.93 1 | 99.92 1 | 99.94 1 | 99.99 1 | 99.97 1 | 99.90 1 | 99.89 13 | 99.98 1 | 99.99 1 | 99.96 1 | 99.77 2 | 100.00 1 | 99.81 16 | 100.00 1 | 99.85 30 |
|
| Gipuma |  | | 99.03 82 | 99.16 64 | 98.64 219 | 99.94 2 | 98.51 113 | 99.32 27 | 99.75 43 | 99.58 39 | 98.60 269 | 99.62 41 | 98.22 105 | 99.51 398 | 97.70 190 | 99.73 181 | 97.89 431 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| OurMVSNet-221017-0 | | | 99.37 30 | 99.31 43 | 99.53 39 | 99.91 3 | 98.98 72 | 99.63 7 | 99.58 89 | 99.44 54 | 99.78 40 | 99.76 15 | 96.39 250 | 99.92 65 | 99.44 55 | 99.92 69 | 99.68 71 |
|
| FE-MVSNET1 | | | 99.51 14 | 99.54 14 | 99.43 68 | 99.90 4 | 98.85 86 | 99.33 26 | 99.79 36 | 99.47 48 | 99.51 93 | 99.75 16 | 99.10 24 | 99.84 174 | 99.14 76 | 99.91 78 | 99.59 107 |
|
| pmmvs6 | | | 99.67 3 | 99.70 3 | 99.60 16 | 99.90 4 | 99.27 28 | 99.53 9 | 99.76 40 | 99.64 27 | 99.84 30 | 99.83 4 | 99.50 9 | 99.87 134 | 99.36 58 | 99.92 69 | 99.64 84 |
|
| PS-MVSNAJss | | | 99.46 18 | 99.49 17 | 99.35 81 | 99.90 4 | 98.15 140 | 99.20 49 | 99.65 70 | 99.48 45 | 99.92 8 | 99.71 23 | 98.07 120 | 99.96 14 | 99.53 48 | 100.00 1 | 99.93 11 |
|
| testf1 | | | 99.25 42 | 99.16 64 | 99.51 49 | 99.89 7 | 99.63 4 | 98.71 105 | 99.69 55 | 98.90 134 | 99.43 107 | 99.35 106 | 98.86 35 | 99.67 321 | 97.81 177 | 99.81 130 | 99.24 279 |
|
| APD_test2 | | | 99.25 42 | 99.16 64 | 99.51 49 | 99.89 7 | 99.63 4 | 98.71 105 | 99.69 55 | 98.90 134 | 99.43 107 | 99.35 106 | 98.86 35 | 99.67 321 | 97.81 177 | 99.81 130 | 99.24 279 |
|
| ANet_high | | | 99.57 10 | 99.67 6 | 99.28 97 | 99.89 7 | 98.09 147 | 99.14 58 | 99.93 5 | 99.82 8 | 99.93 6 | 99.81 8 | 99.17 20 | 99.94 42 | 99.31 62 | 100.00 1 | 99.82 36 |
|
| anonymousdsp | | | 99.51 14 | 99.47 22 | 99.62 10 | 99.88 10 | 99.08 70 | 99.34 23 | 99.69 55 | 98.93 130 | 99.65 64 | 99.72 22 | 98.93 33 | 99.95 26 | 99.11 79 | 100.00 1 | 99.82 36 |
|
| v7n | | | 99.53 12 | 99.57 13 | 99.41 71 | 99.88 10 | 98.54 111 | 99.45 14 | 99.61 79 | 99.66 24 | 99.68 58 | 99.66 33 | 98.44 79 | 99.95 26 | 99.73 28 | 99.96 28 | 99.75 60 |
|
| mvs_tets | | | 99.63 6 | 99.67 6 | 99.49 55 | 99.88 10 | 98.61 103 | 99.34 23 | 99.71 48 | 99.27 75 | 99.90 14 | 99.74 19 | 99.68 4 | 99.97 7 | 99.55 43 | 99.99 5 | 99.88 20 |
|
| test_fmvsmconf0.01_n | | | 99.57 10 | 99.63 10 | 99.36 75 | 99.87 13 | 98.13 143 | 98.08 188 | 99.95 1 | 99.45 52 | 99.98 2 | 99.75 16 | 99.80 1 | 99.97 7 | 99.82 12 | 99.99 5 | 99.99 2 |
|
| jajsoiax | | | 99.58 9 | 99.61 11 | 99.48 57 | 99.87 13 | 98.61 103 | 99.28 41 | 99.66 66 | 99.09 109 | 99.89 18 | 99.68 26 | 99.53 7 | 99.97 7 | 99.50 51 | 99.99 5 | 99.87 22 |
|
| test_djsdf | | | 99.52 13 | 99.51 16 | 99.53 39 | 99.86 15 | 98.74 93 | 99.39 20 | 99.56 105 | 99.11 99 | 99.70 52 | 99.73 21 | 99.00 28 | 99.97 7 | 99.26 66 | 99.98 12 | 99.89 16 |
|
| MIMVSNet1 | | | 99.38 29 | 99.32 41 | 99.55 29 | 99.86 15 | 99.19 43 | 99.41 17 | 99.59 87 | 99.59 37 | 99.71 50 | 99.57 50 | 97.12 205 | 99.90 81 | 99.21 71 | 99.87 99 | 99.54 143 |
|
| LTVRE_ROB | | 98.40 1 | 99.67 3 | 99.71 2 | 99.56 27 | 99.85 17 | 99.11 65 | 99.90 1 | 99.78 37 | 99.63 29 | 99.78 40 | 99.67 31 | 99.48 10 | 99.81 223 | 99.30 63 | 99.97 21 | 99.77 50 |
| 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 |
| UniMVSNet_ETH3D | | | 99.69 2 | 99.69 4 | 99.69 3 | 99.84 18 | 99.34 20 | 99.69 5 | 99.58 89 | 99.90 3 | 99.86 24 | 99.78 13 | 99.58 6 | 99.95 26 | 99.00 89 | 99.95 38 | 99.78 47 |
|
| SixPastTwentyTwo | | | 98.75 131 | 98.62 146 | 99.16 119 | 99.83 19 | 97.96 167 | 99.28 41 | 98.20 378 | 99.37 62 | 99.70 52 | 99.65 37 | 92.65 356 | 99.93 54 | 99.04 86 | 99.84 113 | 99.60 100 |
|
| sc_t1 | | | 99.62 7 | 99.66 8 | 99.53 39 | 99.82 20 | 99.09 69 | 99.50 11 | 99.63 74 | 99.88 4 | 99.86 24 | 99.80 11 | 99.03 25 | 99.89 97 | 99.48 53 | 99.93 56 | 99.60 100 |
|
| Baseline_NR-MVSNet | | | 98.98 90 | 98.86 108 | 99.36 75 | 99.82 20 | 98.55 108 | 97.47 295 | 99.57 96 | 99.37 62 | 99.21 161 | 99.61 44 | 96.76 232 | 99.83 193 | 98.06 155 | 99.83 120 | 99.71 63 |
|
| pm-mvs1 | | | 99.44 20 | 99.48 19 | 99.33 90 | 99.80 22 | 98.63 100 | 99.29 37 | 99.63 74 | 99.30 72 | 99.65 64 | 99.60 46 | 99.16 22 | 99.82 206 | 99.07 82 | 99.83 120 | 99.56 130 |
|
| TransMVSNet (Re) | | | 99.44 20 | 99.47 22 | 99.36 75 | 99.80 22 | 98.58 106 | 99.27 43 | 99.57 96 | 99.39 60 | 99.75 45 | 99.62 41 | 99.17 20 | 99.83 193 | 99.06 84 | 99.62 240 | 99.66 78 |
|
| K. test v3 | | | 98.00 250 | 97.66 275 | 99.03 146 | 99.79 24 | 97.56 203 | 99.19 53 | 92.47 464 | 99.62 33 | 99.52 88 | 99.66 33 | 89.61 387 | 99.96 14 | 99.25 68 | 99.81 130 | 99.56 130 |
|
| test_fmvsmconf0.1_n | | | 99.49 16 | 99.54 14 | 99.34 84 | 99.78 25 | 98.11 144 | 97.77 245 | 99.90 11 | 99.33 67 | 99.97 3 | 99.66 33 | 99.71 3 | 99.96 14 | 99.79 19 | 99.99 5 | 99.96 8 |
|
| APD_test1 | | | 98.83 115 | 98.66 139 | 99.34 84 | 99.78 25 | 99.47 9 | 98.42 150 | 99.45 154 | 98.28 187 | 98.98 197 | 99.19 150 | 97.76 152 | 99.58 372 | 96.57 287 | 99.55 267 | 98.97 333 |
|
| test_vis3_rt | | | 99.14 64 | 99.17 62 | 99.07 136 | 99.78 25 | 98.38 120 | 98.92 83 | 99.94 2 | 97.80 233 | 99.91 12 | 99.67 31 | 97.15 204 | 98.91 457 | 99.76 23 | 99.56 263 | 99.92 12 |
|
| EGC-MVSNET | | | 85.24 443 | 80.54 446 | 99.34 84 | 99.77 28 | 99.20 40 | 99.08 62 | 99.29 234 | 12.08 482 | 20.84 483 | 99.42 91 | 97.55 171 | 99.85 156 | 97.08 235 | 99.72 189 | 98.96 335 |
|
| Anonymous20240521 | | | 98.69 144 | 98.87 104 | 98.16 296 | 99.77 28 | 95.11 337 | 99.08 62 | 99.44 162 | 99.34 66 | 99.33 131 | 99.55 58 | 94.10 331 | 99.94 42 | 99.25 68 | 99.96 28 | 99.42 208 |
|
| FC-MVSNet-test | | | 99.27 39 | 99.25 54 | 99.34 84 | 99.77 28 | 98.37 122 | 99.30 36 | 99.57 96 | 99.61 35 | 99.40 116 | 99.50 70 | 97.12 205 | 99.85 156 | 99.02 88 | 99.94 50 | 99.80 42 |
|
| test_vis1_n | | | 98.31 214 | 98.50 166 | 97.73 330 | 99.76 31 | 94.17 365 | 98.68 108 | 99.91 9 | 96.31 348 | 99.79 39 | 99.57 50 | 92.85 352 | 99.42 418 | 99.79 19 | 99.84 113 | 99.60 100 |
|
| test_fmvs3 | | | 99.12 71 | 99.41 27 | 98.25 284 | 99.76 31 | 95.07 338 | 99.05 68 | 99.94 2 | 97.78 236 | 99.82 34 | 99.84 3 | 98.56 69 | 99.71 297 | 99.96 1 | 99.96 28 | 99.97 4 |
|
| XXY-MVS | | | 99.14 64 | 99.15 69 | 99.10 129 | 99.76 31 | 97.74 192 | 98.85 93 | 99.62 76 | 98.48 170 | 99.37 121 | 99.49 76 | 98.75 47 | 99.86 143 | 98.20 145 | 99.80 141 | 99.71 63 |
|
| TDRefinement | | | 99.42 25 | 99.38 30 | 99.55 29 | 99.76 31 | 99.33 21 | 99.68 6 | 99.71 48 | 99.38 61 | 99.53 83 | 99.61 44 | 98.64 57 | 99.80 232 | 98.24 140 | 99.84 113 | 99.52 155 |
|
| fmvsm_s_conf0.1_n_a | | | 99.17 54 | 99.30 46 | 98.80 184 | 99.75 35 | 96.59 270 | 97.97 218 | 99.86 16 | 98.22 190 | 99.88 21 | 99.71 23 | 98.59 63 | 99.84 174 | 99.73 28 | 99.98 12 | 99.98 3 |
|
| tt0805 | | | 98.69 144 | 98.62 146 | 98.90 172 | 99.75 35 | 99.30 23 | 99.15 57 | 96.97 415 | 98.86 139 | 98.87 230 | 97.62 393 | 98.63 59 | 98.96 454 | 99.41 57 | 98.29 406 | 98.45 397 |
|
| test_vis1_n_1920 | | | 98.40 197 | 98.92 97 | 96.81 392 | 99.74 37 | 90.76 443 | 98.15 176 | 99.91 9 | 98.33 178 | 99.89 18 | 99.55 58 | 95.07 302 | 99.88 115 | 99.76 23 | 99.93 56 | 99.79 44 |
|
| FOURS1 | | | | | | 99.73 38 | 99.67 3 | 99.43 15 | 99.54 114 | 99.43 56 | 99.26 149 | | | | | | |
|
| PEN-MVS | | | 99.41 26 | 99.34 37 | 99.62 10 | 99.73 38 | 99.14 58 | 99.29 37 | 99.54 114 | 99.62 33 | 99.56 74 | 99.42 91 | 98.16 114 | 99.96 14 | 98.78 104 | 99.93 56 | 99.77 50 |
|
| lessismore_v0 | | | | | 98.97 158 | 99.73 38 | 97.53 205 | | 86.71 479 | | 99.37 121 | 99.52 69 | 89.93 383 | 99.92 65 | 98.99 90 | 99.72 189 | 99.44 199 |
|
| SteuartSystems-ACMMP | | | 98.79 124 | 98.54 159 | 99.54 32 | 99.73 38 | 99.16 49 | 98.23 166 | 99.31 218 | 97.92 224 | 98.90 219 | 98.90 237 | 98.00 126 | 99.88 115 | 96.15 319 | 99.72 189 | 99.58 116 |
| Skip Steuart: Steuart Systems R&D Blog. |
| PVSNet_Blended_VisFu | | | 98.17 235 | 98.15 227 | 98.22 290 | 99.73 38 | 95.15 334 | 97.36 309 | 99.68 61 | 94.45 405 | 98.99 196 | 99.27 125 | 96.87 221 | 99.94 42 | 97.13 232 | 99.91 78 | 99.57 124 |
|
| Vis-MVSNet |  | | 99.34 31 | 99.36 34 | 99.27 100 | 99.73 38 | 98.26 129 | 99.17 54 | 99.78 37 | 99.11 99 | 99.27 145 | 99.48 77 | 98.82 38 | 99.95 26 | 98.94 93 | 99.93 56 | 99.59 107 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| tt0320-xc | | | 99.64 5 | 99.68 5 | 99.50 54 | 99.72 44 | 98.98 72 | 99.51 10 | 99.85 18 | 99.86 6 | 99.88 21 | 99.82 5 | 99.02 27 | 99.90 81 | 99.54 44 | 99.95 38 | 99.61 98 |
|
| SSC-MVS | | | 98.71 135 | 98.74 119 | 98.62 225 | 99.72 44 | 96.08 295 | 98.74 98 | 98.64 358 | 99.74 13 | 99.67 60 | 99.24 138 | 94.57 317 | 99.95 26 | 99.11 79 | 99.24 330 | 99.82 36 |
|
| test_f | | | 98.67 153 | 98.87 104 | 98.05 305 | 99.72 44 | 95.59 310 | 98.51 134 | 99.81 31 | 96.30 350 | 99.78 40 | 99.82 5 | 96.14 261 | 98.63 464 | 99.82 12 | 99.93 56 | 99.95 9 |
|
| ACMH | | 96.65 7 | 99.25 42 | 99.24 55 | 99.26 102 | 99.72 44 | 98.38 120 | 99.07 65 | 99.55 109 | 98.30 182 | 99.65 64 | 99.45 86 | 99.22 17 | 99.76 268 | 98.44 130 | 99.77 158 | 99.64 84 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| tt0320 | | | 99.61 8 | 99.65 9 | 99.48 57 | 99.71 48 | 98.94 79 | 99.54 8 | 99.83 25 | 99.87 5 | 99.89 18 | 99.82 5 | 98.75 47 | 99.90 81 | 99.54 44 | 99.95 38 | 99.59 107 |
|
| fmvsm_s_conf0.1_n | | | 99.16 58 | 99.33 39 | 98.64 219 | 99.71 48 | 96.10 290 | 97.87 231 | 99.85 18 | 98.56 166 | 99.90 14 | 99.68 26 | 98.69 53 | 99.85 156 | 99.72 30 | 99.98 12 | 99.97 4 |
|
| PS-CasMVS | | | 99.40 27 | 99.33 39 | 99.62 10 | 99.71 48 | 99.10 66 | 99.29 37 | 99.53 118 | 99.53 42 | 99.46 102 | 99.41 95 | 98.23 102 | 99.95 26 | 98.89 98 | 99.95 38 | 99.81 40 |
|
| DTE-MVSNet | | | 99.43 24 | 99.35 35 | 99.66 7 | 99.71 48 | 99.30 23 | 99.31 31 | 99.51 124 | 99.64 27 | 99.56 74 | 99.46 82 | 98.23 102 | 99.97 7 | 98.78 104 | 99.93 56 | 99.72 62 |
|
| WR-MVS_H | | | 99.33 32 | 99.22 56 | 99.65 8 | 99.71 48 | 99.24 31 | 99.32 27 | 99.55 109 | 99.46 51 | 99.50 95 | 99.34 110 | 97.30 193 | 99.93 54 | 98.90 96 | 99.93 56 | 99.77 50 |
|
| HPM-MVS_fast | | | 99.01 84 | 98.82 112 | 99.57 22 | 99.71 48 | 99.35 17 | 99.00 73 | 99.50 127 | 97.33 282 | 98.94 214 | 98.86 247 | 98.75 47 | 99.82 206 | 97.53 202 | 99.71 198 | 99.56 130 |
|
| ACMH+ | | 96.62 9 | 99.08 78 | 99.00 89 | 99.33 90 | 99.71 48 | 98.83 88 | 98.60 120 | 99.58 89 | 99.11 99 | 99.53 83 | 99.18 154 | 98.81 39 | 99.67 321 | 96.71 273 | 99.77 158 | 99.50 162 |
|
| PMVS |  | 91.26 20 | 97.86 264 | 97.94 251 | 97.65 337 | 99.71 48 | 97.94 169 | 98.52 129 | 98.68 354 | 98.99 122 | 97.52 362 | 99.35 106 | 97.41 186 | 98.18 470 | 91.59 433 | 99.67 219 | 96.82 459 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| FE-MVSNET2 | | | 99.15 59 | 99.22 56 | 98.94 162 | 99.70 56 | 97.49 206 | 98.62 117 | 99.67 65 | 98.85 142 | 99.34 128 | 99.54 64 | 98.47 73 | 99.81 223 | 98.93 94 | 99.91 78 | 99.51 158 |
|
| KinetiMVS | | | 99.03 82 | 99.02 85 | 99.03 146 | 99.70 56 | 97.48 209 | 98.43 147 | 99.29 234 | 99.70 16 | 99.60 71 | 99.07 183 | 96.13 262 | 99.94 42 | 99.42 56 | 99.87 99 | 99.68 71 |
|
| FIs | | | 99.14 64 | 99.09 77 | 99.29 96 | 99.70 56 | 98.28 128 | 99.13 59 | 99.52 123 | 99.48 45 | 99.24 155 | 99.41 95 | 96.79 229 | 99.82 206 | 98.69 114 | 99.88 95 | 99.76 56 |
|
| VPNet | | | 98.87 106 | 98.83 111 | 99.01 150 | 99.70 56 | 97.62 201 | 98.43 147 | 99.35 199 | 99.47 48 | 99.28 143 | 99.05 191 | 96.72 235 | 99.82 206 | 98.09 152 | 99.36 309 | 99.59 107 |
|
| fmvsm_s_conf0.1_n_2 | | | 99.20 52 | 99.38 30 | 98.65 217 | 99.69 60 | 96.08 295 | 97.49 290 | 99.90 11 | 99.53 42 | 99.88 21 | 99.64 38 | 98.51 72 | 99.90 81 | 99.83 10 | 99.98 12 | 99.97 4 |
|
| test_cas_vis1_n_1920 | | | 98.33 211 | 98.68 134 | 97.27 368 | 99.69 60 | 92.29 417 | 98.03 199 | 99.85 18 | 97.62 246 | 99.96 4 | 99.62 41 | 93.98 332 | 99.74 281 | 99.52 50 | 99.86 106 | 99.79 44 |
|
| MP-MVS-pluss | | | 98.57 170 | 98.23 215 | 99.60 16 | 99.69 60 | 99.35 17 | 97.16 331 | 99.38 185 | 94.87 395 | 98.97 201 | 98.99 213 | 98.01 125 | 99.88 115 | 97.29 219 | 99.70 205 | 99.58 116 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| SDMVSNet | | | 99.23 47 | 99.32 41 | 98.96 159 | 99.68 63 | 97.35 217 | 98.84 95 | 99.48 137 | 99.69 18 | 99.63 67 | 99.68 26 | 99.03 25 | 99.96 14 | 97.97 165 | 99.92 69 | 99.57 124 |
|
| sd_testset | | | 99.28 38 | 99.31 43 | 99.19 113 | 99.68 63 | 98.06 156 | 99.41 17 | 99.30 226 | 99.69 18 | 99.63 67 | 99.68 26 | 99.25 16 | 99.96 14 | 97.25 222 | 99.92 69 | 99.57 124 |
|
| test_fmvs1_n | | | 98.09 241 | 98.28 206 | 97.52 354 | 99.68 63 | 93.47 396 | 98.63 115 | 99.93 5 | 95.41 383 | 99.68 58 | 99.64 38 | 91.88 366 | 99.48 405 | 99.82 12 | 99.87 99 | 99.62 90 |
|
| CHOSEN 1792x2688 | | | 97.49 293 | 97.14 308 | 98.54 248 | 99.68 63 | 96.09 293 | 96.50 367 | 99.62 76 | 91.58 443 | 98.84 233 | 98.97 220 | 92.36 358 | 99.88 115 | 96.76 266 | 99.95 38 | 99.67 76 |
|
| tfpnnormal | | | 98.90 101 | 98.90 99 | 98.91 169 | 99.67 67 | 97.82 184 | 99.00 73 | 99.44 162 | 99.45 52 | 99.51 93 | 99.24 138 | 98.20 109 | 99.86 143 | 95.92 328 | 99.69 208 | 99.04 320 |
|
| MTAPA | | | 98.88 105 | 98.64 142 | 99.61 14 | 99.67 67 | 99.36 16 | 98.43 147 | 99.20 258 | 98.83 144 | 98.89 222 | 98.90 237 | 96.98 215 | 99.92 65 | 97.16 227 | 99.70 205 | 99.56 130 |
|
| test_fmvsmvis_n_1920 | | | 99.26 41 | 99.49 17 | 98.54 248 | 99.66 69 | 96.97 249 | 98.00 206 | 99.85 18 | 99.24 77 | 99.92 8 | 99.50 70 | 99.39 12 | 99.95 26 | 99.89 3 | 99.98 12 | 98.71 374 |
|
| mvs5depth | | | 99.30 35 | 99.59 12 | 98.44 262 | 99.65 70 | 95.35 326 | 99.82 3 | 99.94 2 | 99.83 7 | 99.42 111 | 99.94 2 | 98.13 117 | 99.96 14 | 99.63 36 | 99.96 28 | 100.00 1 |
|
| fmvsm_l_conf0.5_n_a | | | 99.19 53 | 99.27 49 | 98.94 162 | 99.65 70 | 97.05 244 | 97.80 240 | 99.76 40 | 98.70 149 | 99.78 40 | 99.11 173 | 98.79 43 | 99.95 26 | 99.85 6 | 99.96 28 | 99.83 33 |
|
| WB-MVS | | | 98.52 184 | 98.55 157 | 98.43 263 | 99.65 70 | 95.59 310 | 98.52 129 | 98.77 343 | 99.65 26 | 99.52 88 | 99.00 211 | 94.34 323 | 99.93 54 | 98.65 116 | 98.83 378 | 99.76 56 |
|
| CP-MVSNet | | | 99.21 49 | 99.09 77 | 99.56 27 | 99.65 70 | 98.96 78 | 99.13 59 | 99.34 205 | 99.42 57 | 99.33 131 | 99.26 131 | 97.01 213 | 99.94 42 | 98.74 109 | 99.93 56 | 99.79 44 |
|
| HPM-MVS |  | | 98.79 124 | 98.53 161 | 99.59 20 | 99.65 70 | 99.29 25 | 99.16 55 | 99.43 168 | 96.74 328 | 98.61 267 | 98.38 338 | 98.62 60 | 99.87 134 | 96.47 299 | 99.67 219 | 99.59 107 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| RPSCF | | | 98.62 162 | 98.36 192 | 99.42 69 | 99.65 70 | 99.42 11 | 98.55 125 | 99.57 96 | 97.72 240 | 98.90 219 | 99.26 131 | 96.12 264 | 99.52 393 | 95.72 339 | 99.71 198 | 99.32 255 |
|
| NormalMVS | | | 98.26 221 | 97.97 248 | 99.15 122 | 99.64 76 | 97.83 179 | 98.28 160 | 99.43 168 | 99.24 77 | 98.80 241 | 98.85 250 | 89.76 385 | 99.94 42 | 98.04 157 | 99.67 219 | 99.68 71 |
|
| lecture | | | 99.25 42 | 99.12 72 | 99.62 10 | 99.64 76 | 99.40 12 | 98.89 88 | 99.51 124 | 99.19 89 | 99.37 121 | 99.25 136 | 98.36 84 | 99.88 115 | 98.23 142 | 99.67 219 | 99.59 107 |
|
| fmvsm_l_conf0.5_n | | | 99.21 49 | 99.28 48 | 99.02 149 | 99.64 76 | 97.28 224 | 97.82 236 | 99.76 40 | 98.73 146 | 99.82 34 | 99.09 181 | 98.81 39 | 99.95 26 | 99.86 4 | 99.96 28 | 99.83 33 |
|
| test_fmvsmconf_n | | | 99.44 20 | 99.48 19 | 99.31 95 | 99.64 76 | 98.10 146 | 97.68 259 | 99.84 22 | 99.29 73 | 99.92 8 | 99.57 50 | 99.60 5 | 99.96 14 | 99.74 27 | 99.98 12 | 99.89 16 |
|
| TSAR-MVS + MP. | | | 98.63 159 | 98.49 171 | 99.06 142 | 99.64 76 | 97.90 173 | 98.51 134 | 98.94 308 | 96.96 313 | 99.24 155 | 98.89 243 | 97.83 144 | 99.81 223 | 96.88 256 | 99.49 289 | 99.48 180 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| PM-MVS | | | 98.82 118 | 98.72 123 | 99.12 125 | 99.64 76 | 98.54 111 | 97.98 214 | 99.68 61 | 97.62 246 | 99.34 128 | 99.18 154 | 97.54 173 | 99.77 262 | 97.79 179 | 99.74 178 | 99.04 320 |
|
| Elysia | | | 99.15 59 | 99.14 70 | 99.18 114 | 99.63 82 | 97.92 170 | 98.50 136 | 99.43 168 | 99.67 21 | 99.70 52 | 99.13 169 | 96.66 238 | 99.98 4 | 99.54 44 | 99.96 28 | 99.64 84 |
|
| StellarMVS | | | 99.15 59 | 99.14 70 | 99.18 114 | 99.63 82 | 97.92 170 | 98.50 136 | 99.43 168 | 99.67 21 | 99.70 52 | 99.13 169 | 96.66 238 | 99.98 4 | 99.54 44 | 99.96 28 | 99.64 84 |
|
| KD-MVS_self_test | | | 99.25 42 | 99.18 61 | 99.44 66 | 99.63 82 | 99.06 71 | 98.69 107 | 99.54 114 | 99.31 70 | 99.62 70 | 99.53 66 | 97.36 190 | 99.86 143 | 99.24 70 | 99.71 198 | 99.39 221 |
|
| EU-MVSNet | | | 97.66 281 | 98.50 166 | 95.13 434 | 99.63 82 | 85.84 465 | 98.35 156 | 98.21 377 | 98.23 189 | 99.54 79 | 99.46 82 | 95.02 303 | 99.68 317 | 98.24 140 | 99.87 99 | 99.87 22 |
|
| HyFIR lowres test | | | 97.19 319 | 96.60 343 | 98.96 159 | 99.62 86 | 97.28 224 | 95.17 432 | 99.50 127 | 94.21 410 | 99.01 191 | 98.32 346 | 86.61 405 | 99.99 2 | 97.10 234 | 99.84 113 | 99.60 100 |
|
| fmvsm_l_conf0.5_n_9 | | | 99.32 34 | 99.43 25 | 98.98 156 | 99.59 87 | 97.18 235 | 97.44 299 | 99.83 25 | 99.56 40 | 99.91 12 | 99.34 110 | 99.36 13 | 99.93 54 | 99.83 10 | 99.98 12 | 99.85 30 |
|
| fmvsm_l_conf0.5_n_3 | | | 99.45 19 | 99.48 19 | 99.34 84 | 99.59 87 | 98.21 137 | 97.82 236 | 99.84 22 | 99.41 59 | 99.92 8 | 99.41 95 | 99.51 8 | 99.95 26 | 99.84 9 | 99.97 21 | 99.87 22 |
|
| MED-MVS test | | | | | 99.45 64 | 99.58 89 | 98.93 80 | 98.68 108 | 99.60 80 | 96.46 341 | 99.53 83 | 98.77 270 | | 99.83 193 | 96.67 276 | 99.64 230 | 99.58 116 |
|
| MED-MVS | | | 98.90 101 | 98.72 123 | 99.45 64 | 99.58 89 | 98.93 80 | 98.68 108 | 99.60 80 | 98.14 208 | 99.53 83 | 98.77 270 | 97.87 141 | 99.83 193 | 96.67 276 | 99.64 230 | 99.58 116 |
|
| TestfortrainingZip a | | | 98.95 94 | 98.72 123 | 99.64 9 | 99.58 89 | 99.32 22 | 98.68 108 | 99.60 80 | 96.46 341 | 99.53 83 | 98.77 270 | 97.87 141 | 99.83 193 | 98.39 133 | 99.64 230 | 99.77 50 |
|
| FE-MVSNET | | | 98.59 167 | 98.50 166 | 98.87 173 | 99.58 89 | 97.30 222 | 98.08 188 | 99.74 44 | 96.94 315 | 98.97 201 | 99.10 176 | 96.94 217 | 99.74 281 | 97.33 217 | 99.86 106 | 99.55 137 |
|
| mmtdpeth | | | 99.30 35 | 99.42 26 | 98.92 168 | 99.58 89 | 96.89 257 | 99.48 13 | 99.92 7 | 99.92 2 | 98.26 305 | 99.80 11 | 98.33 90 | 99.91 74 | 99.56 41 | 99.95 38 | 99.97 4 |
|
| ACMMP_NAP | | | 98.75 131 | 98.48 172 | 99.57 22 | 99.58 89 | 99.29 25 | 97.82 236 | 99.25 247 | 96.94 315 | 98.78 243 | 99.12 172 | 98.02 124 | 99.84 174 | 97.13 232 | 99.67 219 | 99.59 107 |
|
| nrg030 | | | 99.40 27 | 99.35 35 | 99.54 32 | 99.58 89 | 99.13 61 | 98.98 76 | 99.48 137 | 99.68 20 | 99.46 102 | 99.26 131 | 98.62 60 | 99.73 288 | 99.17 75 | 99.92 69 | 99.76 56 |
|
| VDDNet | | | 98.21 228 | 97.95 249 | 99.01 150 | 99.58 89 | 97.74 192 | 99.01 71 | 97.29 406 | 99.67 21 | 98.97 201 | 99.50 70 | 90.45 380 | 99.80 232 | 97.88 172 | 99.20 338 | 99.48 180 |
|
| COLMAP_ROB |  | 96.50 10 | 98.99 87 | 98.85 110 | 99.41 71 | 99.58 89 | 99.10 66 | 98.74 98 | 99.56 105 | 99.09 109 | 99.33 131 | 99.19 150 | 98.40 81 | 99.72 296 | 95.98 326 | 99.76 173 | 99.42 208 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| test_fmvsm_n_1920 | | | 99.33 32 | 99.45 24 | 98.99 152 | 99.57 98 | 97.73 194 | 97.93 220 | 99.83 25 | 99.22 80 | 99.93 6 | 99.30 119 | 99.42 11 | 99.96 14 | 99.85 6 | 99.99 5 | 99.29 265 |
|
| ZNCC-MVS | | | 98.68 150 | 98.40 184 | 99.54 32 | 99.57 98 | 99.21 34 | 98.46 144 | 99.29 234 | 97.28 288 | 98.11 317 | 98.39 336 | 98.00 126 | 99.87 134 | 96.86 259 | 99.64 230 | 99.55 137 |
|
| MSP-MVS | | | 98.40 197 | 98.00 243 | 99.61 14 | 99.57 98 | 99.25 30 | 98.57 123 | 99.35 199 | 97.55 257 | 99.31 139 | 97.71 386 | 94.61 316 | 99.88 115 | 96.14 320 | 99.19 341 | 99.70 68 |
| Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025 |
| testgi | | | 98.32 212 | 98.39 187 | 98.13 297 | 99.57 98 | 95.54 313 | 97.78 242 | 99.49 135 | 97.37 279 | 99.19 163 | 97.65 390 | 98.96 30 | 99.49 402 | 96.50 298 | 98.99 366 | 99.34 246 |
|
| MP-MVS |  | | 98.46 190 | 98.09 232 | 99.54 32 | 99.57 98 | 99.22 33 | 98.50 136 | 99.19 262 | 97.61 249 | 97.58 356 | 98.66 298 | 97.40 187 | 99.88 115 | 94.72 365 | 99.60 247 | 99.54 143 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| LPG-MVS_test | | | 98.71 135 | 98.46 176 | 99.47 61 | 99.57 98 | 98.97 74 | 98.23 166 | 99.48 137 | 96.60 333 | 99.10 173 | 99.06 184 | 98.71 51 | 99.83 193 | 95.58 346 | 99.78 152 | 99.62 90 |
|
| LGP-MVS_train | | | | | 99.47 61 | 99.57 98 | 98.97 74 | | 99.48 137 | 96.60 333 | 99.10 173 | 99.06 184 | 98.71 51 | 99.83 193 | 95.58 346 | 99.78 152 | 99.62 90 |
|
| IS-MVSNet | | | 98.19 231 | 97.90 257 | 99.08 134 | 99.57 98 | 97.97 164 | 99.31 31 | 98.32 373 | 99.01 121 | 98.98 197 | 99.03 195 | 91.59 368 | 99.79 245 | 95.49 348 | 99.80 141 | 99.48 180 |
|
| viewdifsd2359ckpt11 | | | 98.84 112 | 99.04 82 | 98.24 286 | 99.56 106 | 95.51 315 | 97.38 304 | 99.70 53 | 99.16 94 | 99.57 72 | 99.40 98 | 98.26 98 | 99.71 297 | 98.55 125 | 99.82 124 | 99.50 162 |
|
| viewmsd2359difaftdt | | | 98.84 112 | 99.04 82 | 98.24 286 | 99.56 106 | 95.51 315 | 97.38 304 | 99.70 53 | 99.16 94 | 99.57 72 | 99.40 98 | 98.26 98 | 99.71 297 | 98.55 125 | 99.82 124 | 99.50 162 |
|
| dcpmvs_2 | | | 98.78 126 | 99.11 73 | 97.78 320 | 99.56 106 | 93.67 391 | 99.06 66 | 99.86 16 | 99.50 44 | 99.66 61 | 99.26 131 | 97.21 201 | 99.99 2 | 98.00 162 | 99.91 78 | 99.68 71 |
|
| test_0402 | | | 98.76 130 | 98.71 128 | 98.93 165 | 99.56 106 | 98.14 142 | 98.45 146 | 99.34 205 | 99.28 74 | 98.95 207 | 98.91 234 | 98.34 89 | 99.79 245 | 95.63 343 | 99.91 78 | 98.86 352 |
|
| EPP-MVSNet | | | 98.30 215 | 98.04 239 | 99.07 136 | 99.56 106 | 97.83 179 | 99.29 37 | 98.07 384 | 99.03 119 | 98.59 271 | 99.13 169 | 92.16 362 | 99.90 81 | 96.87 257 | 99.68 213 | 99.49 169 |
|
| ACMMP |  | | 98.75 131 | 98.50 166 | 99.52 45 | 99.56 106 | 99.16 49 | 98.87 89 | 99.37 189 | 97.16 303 | 98.82 237 | 99.01 207 | 97.71 155 | 99.87 134 | 96.29 311 | 99.69 208 | 99.54 143 |
| 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 |
| fmvsm_s_conf0.5_n_a | | | 99.10 73 | 99.20 60 | 98.78 191 | 99.55 112 | 96.59 270 | 97.79 241 | 99.82 30 | 98.21 192 | 99.81 37 | 99.53 66 | 98.46 77 | 99.84 174 | 99.70 33 | 99.97 21 | 99.90 15 |
|
| fmvsm_s_conf0.5_n | | | 99.09 74 | 99.26 52 | 98.61 229 | 99.55 112 | 96.09 293 | 97.74 252 | 99.81 31 | 98.55 167 | 99.85 27 | 99.55 58 | 98.60 62 | 99.84 174 | 99.69 35 | 99.98 12 | 99.89 16 |
|
| FMVSNet1 | | | 99.17 54 | 99.17 62 | 99.17 116 | 99.55 112 | 98.24 131 | 99.20 49 | 99.44 162 | 99.21 82 | 99.43 107 | 99.55 58 | 97.82 147 | 99.86 143 | 98.42 132 | 99.89 93 | 99.41 211 |
|
| Vis-MVSNet (Re-imp) | | | 97.46 295 | 97.16 305 | 98.34 275 | 99.55 112 | 96.10 290 | 98.94 81 | 98.44 367 | 98.32 180 | 98.16 311 | 98.62 307 | 88.76 392 | 99.73 288 | 93.88 391 | 99.79 147 | 99.18 299 |
|
| ACMM | | 96.08 12 | 98.91 99 | 98.73 121 | 99.48 57 | 99.55 112 | 99.14 58 | 98.07 192 | 99.37 189 | 97.62 246 | 99.04 187 | 98.96 223 | 98.84 37 | 99.79 245 | 97.43 211 | 99.65 228 | 99.49 169 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| test_fmvs2 | | | 98.70 140 | 98.97 93 | 97.89 313 | 99.54 117 | 94.05 368 | 98.55 125 | 99.92 7 | 96.78 326 | 99.72 48 | 99.78 13 | 96.60 242 | 99.67 321 | 99.91 2 | 99.90 87 | 99.94 10 |
|
| mPP-MVS | | | 98.64 157 | 98.34 195 | 99.54 32 | 99.54 117 | 99.17 45 | 98.63 115 | 99.24 252 | 97.47 265 | 98.09 319 | 98.68 293 | 97.62 164 | 99.89 97 | 96.22 314 | 99.62 240 | 99.57 124 |
|
| XVG-ACMP-BASELINE | | | 98.56 171 | 98.34 195 | 99.22 110 | 99.54 117 | 98.59 105 | 97.71 255 | 99.46 150 | 97.25 291 | 98.98 197 | 98.99 213 | 97.54 173 | 99.84 174 | 95.88 329 | 99.74 178 | 99.23 281 |
|
| viewmacassd2359aftdt | | | 98.86 109 | 98.87 104 | 98.83 178 | 99.53 120 | 97.32 221 | 97.70 257 | 99.64 72 | 98.22 190 | 99.25 153 | 99.27 125 | 98.40 81 | 99.61 358 | 97.98 164 | 99.87 99 | 99.55 137 |
|
| region2R | | | 98.69 144 | 98.40 184 | 99.54 32 | 99.53 120 | 99.17 45 | 98.52 129 | 99.31 218 | 97.46 270 | 98.44 290 | 98.51 321 | 97.83 144 | 99.88 115 | 96.46 300 | 99.58 256 | 99.58 116 |
|
| PGM-MVS | | | 98.66 154 | 98.37 191 | 99.55 29 | 99.53 120 | 99.18 44 | 98.23 166 | 99.49 135 | 97.01 312 | 98.69 254 | 98.88 244 | 98.00 126 | 99.89 97 | 95.87 332 | 99.59 251 | 99.58 116 |
|
| Patchmatch-RL test | | | 97.26 312 | 97.02 313 | 97.99 309 | 99.52 123 | 95.53 314 | 96.13 392 | 99.71 48 | 97.47 265 | 99.27 145 | 99.16 160 | 84.30 426 | 99.62 351 | 97.89 169 | 99.77 158 | 98.81 360 |
|
| ACMMPR | | | 98.70 140 | 98.42 182 | 99.54 32 | 99.52 123 | 99.14 58 | 98.52 129 | 99.31 218 | 97.47 265 | 98.56 277 | 98.54 316 | 97.75 153 | 99.88 115 | 96.57 287 | 99.59 251 | 99.58 116 |
|
| fmvsm_s_conf0.5_n_9 | | | 99.17 54 | 99.38 30 | 98.53 250 | 99.51 125 | 95.82 305 | 97.62 270 | 99.78 37 | 99.72 15 | 99.90 14 | 99.48 77 | 98.66 55 | 99.89 97 | 99.85 6 | 99.93 56 | 99.89 16 |
|
| AstraMVS | | | 98.16 237 | 98.07 237 | 98.41 265 | 99.51 125 | 95.86 302 | 98.00 206 | 95.14 447 | 98.97 125 | 99.43 107 | 99.24 138 | 93.25 340 | 99.84 174 | 99.21 71 | 99.87 99 | 99.54 143 |
|
| fmvsm_s_conf0.5_n_8 | | | 99.13 68 | 99.26 52 | 98.74 204 | 99.51 125 | 96.44 282 | 97.65 265 | 99.65 70 | 99.66 24 | 99.78 40 | 99.48 77 | 97.92 134 | 99.93 54 | 99.72 30 | 99.95 38 | 99.87 22 |
|
| GST-MVS | | | 98.61 163 | 98.30 203 | 99.52 45 | 99.51 125 | 99.20 40 | 98.26 164 | 99.25 247 | 97.44 273 | 98.67 257 | 98.39 336 | 97.68 156 | 99.85 156 | 96.00 324 | 99.51 279 | 99.52 155 |
|
| Anonymous20231206 | | | 98.21 228 | 98.21 216 | 98.20 291 | 99.51 125 | 95.43 324 | 98.13 178 | 99.32 213 | 96.16 354 | 98.93 215 | 98.82 260 | 96.00 269 | 99.83 193 | 97.32 218 | 99.73 181 | 99.36 239 |
|
| ACMP | | 95.32 15 | 98.41 194 | 98.09 232 | 99.36 75 | 99.51 125 | 98.79 91 | 97.68 259 | 99.38 185 | 95.76 370 | 98.81 239 | 98.82 260 | 98.36 84 | 99.82 206 | 94.75 362 | 99.77 158 | 99.48 180 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| LuminaMVS | | | 98.39 203 | 98.20 217 | 98.98 156 | 99.50 131 | 97.49 206 | 97.78 242 | 97.69 393 | 98.75 145 | 99.49 96 | 99.25 136 | 92.30 360 | 99.94 42 | 99.14 76 | 99.88 95 | 99.50 162 |
|
| DVP-MVS |  | | 98.77 129 | 98.52 162 | 99.52 45 | 99.50 131 | 99.21 34 | 98.02 202 | 98.84 332 | 97.97 218 | 99.08 175 | 99.02 196 | 97.61 166 | 99.88 115 | 96.99 243 | 99.63 237 | 99.48 180 |
| Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025 |
| test_0728_SECOND | | | | | 99.60 16 | 99.50 131 | 99.23 32 | 98.02 202 | 99.32 213 | | | | | 99.88 115 | 96.99 243 | 99.63 237 | 99.68 71 |
|
| test0726 | | | | | | 99.50 131 | 99.21 34 | 98.17 174 | 99.35 199 | 97.97 218 | 99.26 149 | 99.06 184 | 97.61 166 | | | | |
|
| AllTest | | | 98.44 192 | 98.20 217 | 99.16 119 | 99.50 131 | 98.55 108 | 98.25 165 | 99.58 89 | 96.80 324 | 98.88 226 | 99.06 184 | 97.65 159 | 99.57 374 | 94.45 372 | 99.61 245 | 99.37 232 |
|
| TestCases | | | | | 99.16 119 | 99.50 131 | 98.55 108 | | 99.58 89 | 96.80 324 | 98.88 226 | 99.06 184 | 97.65 159 | 99.57 374 | 94.45 372 | 99.61 245 | 99.37 232 |
|
| XVG-OURS | | | 98.53 180 | 98.34 195 | 99.11 127 | 99.50 131 | 98.82 90 | 95.97 398 | 99.50 127 | 97.30 286 | 99.05 185 | 98.98 218 | 99.35 14 | 99.32 432 | 95.72 339 | 99.68 213 | 99.18 299 |
|
| EG-PatchMatch MVS | | | 98.99 87 | 99.01 87 | 98.94 162 | 99.50 131 | 97.47 210 | 98.04 197 | 99.59 87 | 98.15 207 | 99.40 116 | 99.36 105 | 98.58 68 | 99.76 268 | 98.78 104 | 99.68 213 | 99.59 107 |
|
| fmvsm_s_conf0.5_n_2 | | | 99.14 64 | 99.31 43 | 98.63 223 | 99.49 139 | 96.08 295 | 97.38 304 | 99.81 31 | 99.48 45 | 99.84 30 | 99.57 50 | 98.46 77 | 99.89 97 | 99.82 12 | 99.97 21 | 99.91 13 |
|
| SED-MVS | | | 98.91 99 | 98.72 123 | 99.49 55 | 99.49 139 | 99.17 45 | 98.10 185 | 99.31 218 | 98.03 214 | 99.66 61 | 99.02 196 | 98.36 84 | 99.88 115 | 96.91 249 | 99.62 240 | 99.41 211 |
|
| IU-MVS | | | | | | 99.49 139 | 99.15 53 | | 98.87 323 | 92.97 428 | 99.41 113 | | | | 96.76 266 | 99.62 240 | 99.66 78 |
|
| test_241102_ONE | | | | | | 99.49 139 | 99.17 45 | | 99.31 218 | 97.98 217 | 99.66 61 | 98.90 237 | 98.36 84 | 99.48 405 | | | |
|
| UA-Net | | | 99.47 17 | 99.40 28 | 99.70 2 | 99.49 139 | 99.29 25 | 99.80 4 | 99.72 46 | 99.82 8 | 99.04 187 | 99.81 8 | 98.05 123 | 99.96 14 | 98.85 100 | 99.99 5 | 99.86 28 |
|
| HFP-MVS | | | 98.71 135 | 98.44 179 | 99.51 49 | 99.49 139 | 99.16 49 | 98.52 129 | 99.31 218 | 97.47 265 | 98.58 273 | 98.50 325 | 97.97 130 | 99.85 156 | 96.57 287 | 99.59 251 | 99.53 152 |
|
| VPA-MVSNet | | | 99.30 35 | 99.30 46 | 99.28 97 | 99.49 139 | 98.36 125 | 99.00 73 | 99.45 154 | 99.63 29 | 99.52 88 | 99.44 87 | 98.25 100 | 99.88 115 | 99.09 81 | 99.84 113 | 99.62 90 |
|
| XVG-OURS-SEG-HR | | | 98.49 187 | 98.28 206 | 99.14 123 | 99.49 139 | 98.83 88 | 96.54 363 | 99.48 137 | 97.32 284 | 99.11 170 | 98.61 309 | 99.33 15 | 99.30 435 | 96.23 313 | 98.38 402 | 99.28 268 |
|
| fmvsm_s_conf0.5_n_11 | | | 99.21 49 | 99.34 37 | 98.80 184 | 99.48 147 | 96.56 275 | 97.97 218 | 99.69 55 | 99.63 29 | 99.84 30 | 99.54 64 | 98.21 107 | 99.94 42 | 99.76 23 | 99.95 38 | 99.88 20 |
|
| 114514_t | | | 96.50 352 | 95.77 361 | 98.69 212 | 99.48 147 | 97.43 214 | 97.84 235 | 99.55 109 | 81.42 475 | 96.51 415 | 98.58 313 | 95.53 289 | 99.67 321 | 93.41 404 | 99.58 256 | 98.98 330 |
|
| IterMVS-LS | | | 98.55 175 | 98.70 131 | 98.09 298 | 99.48 147 | 94.73 348 | 97.22 325 | 99.39 183 | 98.97 125 | 99.38 119 | 99.31 118 | 96.00 269 | 99.93 54 | 98.58 119 | 99.97 21 | 99.60 100 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| fmvsm_s_conf0.5_n_10 | | | 99.15 59 | 99.27 49 | 98.78 191 | 99.47 150 | 96.56 275 | 97.75 251 | 99.71 48 | 99.60 36 | 99.74 47 | 99.44 87 | 97.96 131 | 99.95 26 | 99.86 4 | 99.94 50 | 99.82 36 |
|
| fmvsm_s_conf0.5_n_5 | | | 99.07 80 | 99.10 75 | 98.99 152 | 99.47 150 | 97.22 229 | 97.40 301 | 99.83 25 | 97.61 249 | 99.85 27 | 99.30 119 | 98.80 41 | 99.95 26 | 99.71 32 | 99.90 87 | 99.78 47 |
|
| v8 | | | 99.01 84 | 99.16 64 | 98.57 236 | 99.47 150 | 96.31 287 | 98.90 84 | 99.47 146 | 99.03 119 | 99.52 88 | 99.57 50 | 96.93 218 | 99.81 223 | 99.60 37 | 99.98 12 | 99.60 100 |
|
| SSC-MVS3.2 | | | 98.53 180 | 98.79 115 | 97.74 327 | 99.46 153 | 93.62 394 | 96.45 369 | 99.34 205 | 99.33 67 | 98.93 215 | 98.70 289 | 97.90 135 | 99.90 81 | 99.12 78 | 99.92 69 | 99.69 70 |
|
| fmvsm_s_conf0.5_n_3 | | | 99.22 48 | 99.37 33 | 98.78 191 | 99.46 153 | 96.58 273 | 97.65 265 | 99.72 46 | 99.47 48 | 99.86 24 | 99.50 70 | 98.94 31 | 99.89 97 | 99.75 26 | 99.97 21 | 99.86 28 |
|
| XVS | | | 98.72 134 | 98.45 177 | 99.53 39 | 99.46 153 | 99.21 34 | 98.65 113 | 99.34 205 | 98.62 156 | 97.54 360 | 98.63 305 | 97.50 179 | 99.83 193 | 96.79 262 | 99.53 273 | 99.56 130 |
|
| X-MVStestdata | | | 94.32 401 | 92.59 420 | 99.53 39 | 99.46 153 | 99.21 34 | 98.65 113 | 99.34 205 | 98.62 156 | 97.54 360 | 45.85 480 | 97.50 179 | 99.83 193 | 96.79 262 | 99.53 273 | 99.56 130 |
|
| test20.03 | | | 98.78 126 | 98.77 118 | 98.78 191 | 99.46 153 | 97.20 232 | 97.78 242 | 99.24 252 | 99.04 118 | 99.41 113 | 98.90 237 | 97.65 159 | 99.76 268 | 97.70 190 | 99.79 147 | 99.39 221 |
|
| guyue | | | 98.01 249 | 97.93 253 | 98.26 282 | 99.45 158 | 95.48 319 | 98.08 188 | 96.24 430 | 98.89 136 | 99.34 128 | 99.14 167 | 91.32 372 | 99.82 206 | 99.07 82 | 99.83 120 | 99.48 180 |
|
| CSCG | | | 98.68 150 | 98.50 166 | 99.20 111 | 99.45 158 | 98.63 100 | 98.56 124 | 99.57 96 | 97.87 228 | 98.85 231 | 98.04 367 | 97.66 158 | 99.84 174 | 96.72 271 | 99.81 130 | 99.13 309 |
|
| GeoE | | | 99.05 81 | 98.99 91 | 99.25 105 | 99.44 160 | 98.35 126 | 98.73 102 | 99.56 105 | 98.42 173 | 98.91 218 | 98.81 263 | 98.94 31 | 99.91 74 | 98.35 135 | 99.73 181 | 99.49 169 |
|
| v148 | | | 98.45 191 | 98.60 151 | 98.00 308 | 99.44 160 | 94.98 340 | 97.44 299 | 99.06 288 | 98.30 182 | 99.32 137 | 98.97 220 | 96.65 240 | 99.62 351 | 98.37 134 | 99.85 108 | 99.39 221 |
|
| v10 | | | 98.97 91 | 99.11 73 | 98.55 243 | 99.44 160 | 96.21 289 | 98.90 84 | 99.55 109 | 98.73 146 | 99.48 97 | 99.60 46 | 96.63 241 | 99.83 193 | 99.70 33 | 99.99 5 | 99.61 98 |
|
| V42 | | | 98.78 126 | 98.78 117 | 98.76 198 | 99.44 160 | 97.04 245 | 98.27 163 | 99.19 262 | 97.87 228 | 99.25 153 | 99.16 160 | 96.84 222 | 99.78 256 | 99.21 71 | 99.84 113 | 99.46 190 |
|
| MDA-MVSNet-bldmvs | | | 97.94 255 | 97.91 256 | 98.06 303 | 99.44 160 | 94.96 341 | 96.63 359 | 99.15 278 | 98.35 176 | 98.83 234 | 99.11 173 | 94.31 324 | 99.85 156 | 96.60 284 | 98.72 384 | 99.37 232 |
|
| viewdifsd2359ckpt07 | | | 98.71 135 | 98.86 108 | 98.26 282 | 99.43 165 | 95.65 309 | 97.20 326 | 99.66 66 | 99.20 84 | 99.29 141 | 99.01 207 | 98.29 93 | 99.73 288 | 97.92 168 | 99.75 177 | 99.39 221 |
|
| casdiffmvs_mvg |  | | 99.12 71 | 99.16 64 | 98.99 152 | 99.43 165 | 97.73 194 | 98.00 206 | 99.62 76 | 99.22 80 | 99.55 77 | 99.22 144 | 98.93 33 | 99.75 276 | 98.66 115 | 99.81 130 | 99.50 162 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| SSM_0404 | | | 98.90 101 | 99.01 87 | 98.57 236 | 99.42 167 | 96.59 270 | 98.13 178 | 99.66 66 | 99.09 109 | 99.30 140 | 99.02 196 | 98.79 43 | 99.89 97 | 97.87 174 | 99.80 141 | 99.23 281 |
|
| test1111 | | | 96.49 353 | 96.82 327 | 95.52 427 | 99.42 167 | 87.08 462 | 99.22 46 | 87.14 478 | 99.11 99 | 99.46 102 | 99.58 48 | 88.69 393 | 99.86 143 | 98.80 102 | 99.95 38 | 99.62 90 |
|
| v2v482 | | | 98.56 171 | 98.62 146 | 98.37 272 | 99.42 167 | 95.81 306 | 97.58 278 | 99.16 273 | 97.90 226 | 99.28 143 | 99.01 207 | 95.98 274 | 99.79 245 | 99.33 60 | 99.90 87 | 99.51 158 |
|
| OPM-MVS | | | 98.56 171 | 98.32 201 | 99.25 105 | 99.41 170 | 98.73 96 | 97.13 333 | 99.18 266 | 97.10 306 | 98.75 249 | 98.92 231 | 98.18 110 | 99.65 341 | 96.68 275 | 99.56 263 | 99.37 232 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| PMMVS2 | | | 98.07 243 | 98.08 235 | 98.04 306 | 99.41 170 | 94.59 354 | 94.59 450 | 99.40 181 | 97.50 262 | 98.82 237 | 98.83 257 | 96.83 224 | 99.84 174 | 97.50 205 | 99.81 130 | 99.71 63 |
|
| E2 | | | 98.70 140 | 98.68 134 | 98.73 206 | 99.40 172 | 97.10 242 | 97.48 291 | 99.57 96 | 98.09 211 | 99.00 192 | 99.20 147 | 97.90 135 | 99.67 321 | 97.73 188 | 99.77 158 | 99.43 203 |
|
| E3 | | | 98.69 144 | 98.68 134 | 98.73 206 | 99.40 172 | 97.10 242 | 97.48 291 | 99.57 96 | 98.09 211 | 99.00 192 | 99.20 147 | 97.90 135 | 99.67 321 | 97.73 188 | 99.77 158 | 99.43 203 |
|
| test_one_0601 | | | | | | 99.39 174 | 99.20 40 | | 99.31 218 | 98.49 169 | 98.66 259 | 99.02 196 | 97.64 162 | | | | |
|
| mvsany_test3 | | | 98.87 106 | 98.92 97 | 98.74 204 | 99.38 175 | 96.94 253 | 98.58 122 | 99.10 283 | 96.49 338 | 99.96 4 | 99.81 8 | 98.18 110 | 99.45 413 | 98.97 91 | 99.79 147 | 99.83 33 |
|
| patch_mono-2 | | | 98.51 185 | 98.63 144 | 98.17 294 | 99.38 175 | 94.78 345 | 97.36 309 | 99.69 55 | 98.16 202 | 98.49 286 | 99.29 122 | 97.06 208 | 99.97 7 | 98.29 139 | 99.91 78 | 99.76 56 |
|
| test2506 | | | 92.39 432 | 91.89 434 | 93.89 448 | 99.38 175 | 82.28 479 | 99.32 27 | 66.03 486 | 99.08 113 | 98.77 246 | 99.57 50 | 66.26 473 | 99.84 174 | 98.71 112 | 99.95 38 | 99.54 143 |
|
| ECVR-MVS |  | | 96.42 355 | 96.61 341 | 95.85 419 | 99.38 175 | 88.18 457 | 99.22 46 | 86.00 480 | 99.08 113 | 99.36 124 | 99.57 50 | 88.47 398 | 99.82 206 | 98.52 127 | 99.95 38 | 99.54 143 |
|
| casdiffmvs |  | | 98.95 94 | 99.00 89 | 98.81 182 | 99.38 175 | 97.33 219 | 97.82 236 | 99.57 96 | 99.17 93 | 99.35 126 | 99.17 158 | 98.35 88 | 99.69 308 | 98.46 129 | 99.73 181 | 99.41 211 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| baseline | | | 98.96 93 | 99.02 85 | 98.76 198 | 99.38 175 | 97.26 226 | 98.49 139 | 99.50 127 | 98.86 139 | 99.19 163 | 99.06 184 | 98.23 102 | 99.69 308 | 98.71 112 | 99.76 173 | 99.33 252 |
|
| TranMVSNet+NR-MVSNet | | | 99.17 54 | 99.07 80 | 99.46 63 | 99.37 181 | 98.87 85 | 98.39 152 | 99.42 174 | 99.42 57 | 99.36 124 | 99.06 184 | 98.38 83 | 99.95 26 | 98.34 136 | 99.90 87 | 99.57 124 |
|
| fmvsm_s_conf0.5_n_6 | | | 99.08 78 | 99.21 59 | 98.69 212 | 99.36 182 | 96.51 277 | 97.62 270 | 99.68 61 | 98.43 172 | 99.85 27 | 99.10 176 | 99.12 23 | 99.88 115 | 99.77 22 | 99.92 69 | 99.67 76 |
|
| tttt0517 | | | 95.64 380 | 94.98 390 | 97.64 340 | 99.36 182 | 93.81 386 | 98.72 103 | 90.47 472 | 98.08 213 | 98.67 257 | 98.34 343 | 73.88 459 | 99.92 65 | 97.77 181 | 99.51 279 | 99.20 291 |
|
| test_part2 | | | | | | 99.36 182 | 99.10 66 | | | | 99.05 185 | | | | | | |
|
| v1144 | | | 98.60 165 | 98.66 139 | 98.41 265 | 99.36 182 | 95.90 300 | 97.58 278 | 99.34 205 | 97.51 261 | 99.27 145 | 99.15 164 | 96.34 255 | 99.80 232 | 99.47 54 | 99.93 56 | 99.51 158 |
|
| CP-MVS | | | 98.70 140 | 98.42 182 | 99.52 45 | 99.36 182 | 99.12 63 | 98.72 103 | 99.36 193 | 97.54 259 | 98.30 299 | 98.40 335 | 97.86 143 | 99.89 97 | 96.53 296 | 99.72 189 | 99.56 130 |
|
| diffmvs_AUTHOR | | | 98.50 186 | 98.59 153 | 98.23 289 | 99.35 187 | 95.48 319 | 96.61 360 | 99.60 80 | 98.37 174 | 98.90 219 | 99.00 211 | 97.37 189 | 99.76 268 | 98.22 143 | 99.85 108 | 99.46 190 |
|
| Test_1112_low_res | | | 96.99 334 | 96.55 345 | 98.31 278 | 99.35 187 | 95.47 322 | 95.84 410 | 99.53 118 | 91.51 445 | 96.80 402 | 98.48 328 | 91.36 371 | 99.83 193 | 96.58 285 | 99.53 273 | 99.62 90 |
|
| DeepC-MVS | | 97.60 4 | 98.97 91 | 98.93 96 | 99.10 129 | 99.35 187 | 97.98 163 | 98.01 205 | 99.46 150 | 97.56 255 | 99.54 79 | 99.50 70 | 98.97 29 | 99.84 174 | 98.06 155 | 99.92 69 | 99.49 169 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| 1112_ss | | | 97.29 311 | 96.86 323 | 98.58 233 | 99.34 190 | 96.32 286 | 96.75 352 | 99.58 89 | 93.14 426 | 96.89 397 | 97.48 400 | 92.11 363 | 99.86 143 | 96.91 249 | 99.54 269 | 99.57 124 |
|
| reproduce_model | | | 99.15 59 | 98.97 93 | 99.67 4 | 99.33 191 | 99.44 10 | 98.15 176 | 99.47 146 | 99.12 98 | 99.52 88 | 99.32 117 | 98.31 91 | 99.90 81 | 97.78 180 | 99.73 181 | 99.66 78 |
|
| MVSMamba_PlusPlus | | | 98.83 115 | 98.98 92 | 98.36 273 | 99.32 192 | 96.58 273 | 98.90 84 | 99.41 178 | 99.75 11 | 98.72 252 | 99.50 70 | 96.17 260 | 99.94 42 | 99.27 65 | 99.78 152 | 98.57 390 |
|
| fmvsm_s_conf0.5_n_4 | | | 99.01 84 | 99.22 56 | 98.38 269 | 99.31 193 | 95.48 319 | 97.56 280 | 99.73 45 | 98.87 137 | 99.75 45 | 99.27 125 | 98.80 41 | 99.86 143 | 99.80 17 | 99.90 87 | 99.81 40 |
|
| SF-MVS | | | 98.53 180 | 98.27 209 | 99.32 92 | 99.31 193 | 98.75 92 | 98.19 170 | 99.41 178 | 96.77 327 | 98.83 234 | 98.90 237 | 97.80 149 | 99.82 206 | 95.68 342 | 99.52 276 | 99.38 230 |
|
| CPTT-MVS | | | 97.84 270 | 97.36 294 | 99.27 100 | 99.31 193 | 98.46 116 | 98.29 159 | 99.27 241 | 94.90 394 | 97.83 340 | 98.37 339 | 94.90 305 | 99.84 174 | 93.85 393 | 99.54 269 | 99.51 158 |
|
| UnsupCasMVSNet_eth | | | 97.89 259 | 97.60 280 | 98.75 200 | 99.31 193 | 97.17 237 | 97.62 270 | 99.35 199 | 98.72 148 | 98.76 248 | 98.68 293 | 92.57 357 | 99.74 281 | 97.76 185 | 95.60 464 | 99.34 246 |
|
| fmvsm_s_conf0.5_n_7 | | | 98.83 115 | 99.04 82 | 98.20 291 | 99.30 197 | 94.83 343 | 97.23 321 | 99.36 193 | 98.64 151 | 99.84 30 | 99.43 90 | 98.10 119 | 99.91 74 | 99.56 41 | 99.96 28 | 99.87 22 |
|
| pmmvs-eth3d | | | 98.47 189 | 98.34 195 | 98.86 175 | 99.30 197 | 97.76 190 | 97.16 331 | 99.28 238 | 95.54 376 | 99.42 111 | 99.19 150 | 97.27 196 | 99.63 348 | 97.89 169 | 99.97 21 | 99.20 291 |
|
| mamv4 | | | 99.44 20 | 99.39 29 | 99.58 21 | 99.30 197 | 99.74 2 | 99.04 69 | 99.81 31 | 99.77 10 | 99.82 34 | 99.57 50 | 97.82 147 | 99.98 4 | 99.53 48 | 99.89 93 | 99.01 324 |
|
| viewcassd2359sk11 | | | 98.55 175 | 98.51 163 | 98.67 215 | 99.29 200 | 96.99 248 | 97.39 302 | 99.54 114 | 97.73 238 | 98.81 239 | 99.08 182 | 97.55 171 | 99.66 334 | 97.52 204 | 99.67 219 | 99.36 239 |
|
| SymmetryMVS | | | 98.05 245 | 97.71 270 | 99.09 133 | 99.29 200 | 97.83 179 | 98.28 160 | 97.64 398 | 99.24 77 | 98.80 241 | 98.85 250 | 89.76 385 | 99.94 42 | 98.04 157 | 99.50 287 | 99.49 169 |
|
| Anonymous20231211 | | | 99.27 39 | 99.27 49 | 99.26 102 | 99.29 200 | 98.18 138 | 99.49 12 | 99.51 124 | 99.70 16 | 99.80 38 | 99.68 26 | 96.84 222 | 99.83 193 | 99.21 71 | 99.91 78 | 99.77 50 |
|
| viewmanbaseed2359cas | | | 98.58 169 | 98.54 159 | 98.70 210 | 99.28 203 | 97.13 241 | 97.47 295 | 99.55 109 | 97.55 257 | 98.96 206 | 98.92 231 | 97.77 151 | 99.59 365 | 97.59 198 | 99.77 158 | 99.39 221 |
|
| UnsupCasMVSNet_bld | | | 97.30 309 | 96.92 319 | 98.45 260 | 99.28 203 | 96.78 264 | 96.20 386 | 99.27 241 | 95.42 380 | 98.28 303 | 98.30 347 | 93.16 343 | 99.71 297 | 94.99 356 | 97.37 440 | 98.87 351 |
|
| EC-MVSNet | | | 99.09 74 | 99.05 81 | 99.20 111 | 99.28 203 | 98.93 80 | 99.24 45 | 99.84 22 | 99.08 113 | 98.12 316 | 98.37 339 | 98.72 50 | 99.90 81 | 99.05 85 | 99.77 158 | 98.77 368 |
|
| mamba_0408 | | | 98.80 122 | 98.88 102 | 98.55 243 | 99.27 206 | 96.50 278 | 98.00 206 | 99.60 80 | 98.93 130 | 99.22 158 | 98.84 255 | 98.59 63 | 99.89 97 | 97.74 186 | 99.72 189 | 99.27 269 |
|
| SSM_04072 | | | 98.80 122 | 98.88 102 | 98.56 241 | 99.27 206 | 96.50 278 | 98.00 206 | 99.60 80 | 98.93 130 | 99.22 158 | 98.84 255 | 98.59 63 | 99.90 81 | 97.74 186 | 99.72 189 | 99.27 269 |
|
| SSM_0407 | | | 98.86 109 | 98.96 95 | 98.55 243 | 99.27 206 | 96.50 278 | 98.04 197 | 99.66 66 | 99.09 109 | 99.22 158 | 99.02 196 | 98.79 43 | 99.87 134 | 97.87 174 | 99.72 189 | 99.27 269 |
|
| reproduce-ours | | | 99.09 74 | 98.90 99 | 99.67 4 | 99.27 206 | 99.49 6 | 98.00 206 | 99.42 174 | 99.05 116 | 99.48 97 | 99.27 125 | 98.29 93 | 99.89 97 | 97.61 195 | 99.71 198 | 99.62 90 |
|
| our_new_method | | | 99.09 74 | 98.90 99 | 99.67 4 | 99.27 206 | 99.49 6 | 98.00 206 | 99.42 174 | 99.05 116 | 99.48 97 | 99.27 125 | 98.29 93 | 99.89 97 | 97.61 195 | 99.71 198 | 99.62 90 |
|
| DPE-MVS |  | | 98.59 167 | 98.26 210 | 99.57 22 | 99.27 206 | 99.15 53 | 97.01 336 | 99.39 183 | 97.67 242 | 99.44 106 | 98.99 213 | 97.53 175 | 99.89 97 | 95.40 350 | 99.68 213 | 99.66 78 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| IterMVS-SCA-FT | | | 97.85 269 | 98.18 222 | 96.87 388 | 99.27 206 | 91.16 437 | 95.53 420 | 99.25 247 | 99.10 106 | 99.41 113 | 99.35 106 | 93.10 345 | 99.96 14 | 98.65 116 | 99.94 50 | 99.49 169 |
|
| v1192 | | | 98.60 165 | 98.66 139 | 98.41 265 | 99.27 206 | 95.88 301 | 97.52 285 | 99.36 193 | 97.41 274 | 99.33 131 | 99.20 147 | 96.37 253 | 99.82 206 | 99.57 39 | 99.92 69 | 99.55 137 |
|
| N_pmnet | | | 97.63 283 | 97.17 304 | 98.99 152 | 99.27 206 | 97.86 176 | 95.98 397 | 93.41 461 | 95.25 385 | 99.47 101 | 98.90 237 | 95.63 286 | 99.85 156 | 96.91 249 | 99.73 181 | 99.27 269 |
|
| viewdifsd2359ckpt13 | | | 98.39 203 | 98.29 205 | 98.70 210 | 99.26 215 | 97.19 233 | 97.51 287 | 99.48 137 | 96.94 315 | 98.58 273 | 98.82 260 | 97.47 184 | 99.55 381 | 97.21 224 | 99.33 314 | 99.34 246 |
|
| FPMVS | | | 93.44 418 | 92.23 425 | 97.08 376 | 99.25 216 | 97.86 176 | 95.61 417 | 97.16 410 | 92.90 430 | 93.76 463 | 98.65 300 | 75.94 457 | 95.66 477 | 79.30 475 | 97.49 433 | 97.73 441 |
|
| ME-MVS | | | 98.61 163 | 98.33 200 | 99.44 66 | 99.24 217 | 98.93 80 | 97.45 297 | 99.06 288 | 98.14 208 | 99.06 177 | 98.77 270 | 96.97 216 | 99.82 206 | 96.67 276 | 99.64 230 | 99.58 116 |
|
| new-patchmatchnet | | | 98.35 206 | 98.74 119 | 97.18 371 | 99.24 217 | 92.23 419 | 96.42 373 | 99.48 137 | 98.30 182 | 99.69 56 | 99.53 66 | 97.44 185 | 99.82 206 | 98.84 101 | 99.77 158 | 99.49 169 |
|
| MCST-MVS | | | 98.00 250 | 97.63 278 | 99.10 129 | 99.24 217 | 98.17 139 | 96.89 345 | 98.73 351 | 95.66 371 | 97.92 331 | 97.70 388 | 97.17 203 | 99.66 334 | 96.18 318 | 99.23 333 | 99.47 188 |
|
| UniMVSNet (Re) | | | 98.87 106 | 98.71 128 | 99.35 81 | 99.24 217 | 98.73 96 | 97.73 254 | 99.38 185 | 98.93 130 | 99.12 169 | 98.73 279 | 96.77 230 | 99.86 143 | 98.63 118 | 99.80 141 | 99.46 190 |
|
| jason | | | 97.45 297 | 97.35 295 | 97.76 324 | 99.24 217 | 93.93 380 | 95.86 407 | 98.42 369 | 94.24 409 | 98.50 285 | 98.13 357 | 94.82 309 | 99.91 74 | 97.22 223 | 99.73 181 | 99.43 203 |
| jason: jason. |
| IterMVS | | | 97.73 275 | 98.11 231 | 96.57 398 | 99.24 217 | 90.28 446 | 95.52 422 | 99.21 256 | 98.86 139 | 99.33 131 | 99.33 113 | 93.11 344 | 99.94 42 | 98.49 128 | 99.94 50 | 99.48 180 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| v1240 | | | 98.55 175 | 98.62 146 | 98.32 276 | 99.22 223 | 95.58 312 | 97.51 287 | 99.45 154 | 97.16 303 | 99.45 105 | 99.24 138 | 96.12 264 | 99.85 156 | 99.60 37 | 99.88 95 | 99.55 137 |
|
| ITE_SJBPF | | | | | 98.87 173 | 99.22 223 | 98.48 115 | | 99.35 199 | 97.50 262 | 98.28 303 | 98.60 311 | 97.64 162 | 99.35 428 | 93.86 392 | 99.27 325 | 98.79 366 |
|
| h-mvs33 | | | 97.77 273 | 97.33 297 | 99.10 129 | 99.21 225 | 97.84 178 | 98.35 156 | 98.57 361 | 99.11 99 | 98.58 273 | 99.02 196 | 88.65 396 | 99.96 14 | 98.11 150 | 96.34 456 | 99.49 169 |
|
| v144192 | | | 98.54 178 | 98.57 155 | 98.45 260 | 99.21 225 | 95.98 298 | 97.63 269 | 99.36 193 | 97.15 305 | 99.32 137 | 99.18 154 | 95.84 281 | 99.84 174 | 99.50 51 | 99.91 78 | 99.54 143 |
|
| APDe-MVS |  | | 98.99 87 | 98.79 115 | 99.60 16 | 99.21 225 | 99.15 53 | 98.87 89 | 99.48 137 | 97.57 253 | 99.35 126 | 99.24 138 | 97.83 144 | 99.89 97 | 97.88 172 | 99.70 205 | 99.75 60 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| DP-MVS | | | 98.93 97 | 98.81 114 | 99.28 97 | 99.21 225 | 98.45 117 | 98.46 144 | 99.33 211 | 99.63 29 | 99.48 97 | 99.15 164 | 97.23 199 | 99.75 276 | 97.17 226 | 99.66 227 | 99.63 89 |
|
| SR-MVS-dyc-post | | | 98.81 120 | 98.55 157 | 99.57 22 | 99.20 229 | 99.38 13 | 98.48 142 | 99.30 226 | 98.64 151 | 98.95 207 | 98.96 223 | 97.49 182 | 99.86 143 | 96.56 291 | 99.39 305 | 99.45 195 |
|
| RE-MVS-def | | | | 98.58 154 | | 99.20 229 | 99.38 13 | 98.48 142 | 99.30 226 | 98.64 151 | 98.95 207 | 98.96 223 | 97.75 153 | | 96.56 291 | 99.39 305 | 99.45 195 |
|
| v1921920 | | | 98.54 178 | 98.60 151 | 98.38 269 | 99.20 229 | 95.76 308 | 97.56 280 | 99.36 193 | 97.23 297 | 99.38 119 | 99.17 158 | 96.02 267 | 99.84 174 | 99.57 39 | 99.90 87 | 99.54 143 |
|
| E3new | | | 98.41 194 | 98.34 195 | 98.62 225 | 99.19 232 | 96.90 256 | 97.32 312 | 99.50 127 | 97.40 276 | 98.63 262 | 98.92 231 | 97.21 201 | 99.65 341 | 97.34 215 | 99.52 276 | 99.31 259 |
|
| thisisatest0530 | | | 95.27 387 | 94.45 398 | 97.74 327 | 99.19 232 | 94.37 358 | 97.86 232 | 90.20 473 | 97.17 302 | 98.22 306 | 97.65 390 | 73.53 460 | 99.90 81 | 96.90 254 | 99.35 311 | 98.95 336 |
|
| Anonymous20240529 | | | 98.93 97 | 98.87 104 | 99.12 125 | 99.19 232 | 98.22 136 | 99.01 71 | 98.99 306 | 99.25 76 | 99.54 79 | 99.37 101 | 97.04 209 | 99.80 232 | 97.89 169 | 99.52 276 | 99.35 244 |
|
| APD-MVS_3200maxsize | | | 98.84 112 | 98.61 150 | 99.53 39 | 99.19 232 | 99.27 28 | 98.49 139 | 99.33 211 | 98.64 151 | 99.03 190 | 98.98 218 | 97.89 139 | 99.85 156 | 96.54 295 | 99.42 302 | 99.46 190 |
|
| HQP_MVS | | | 97.99 253 | 97.67 272 | 98.93 165 | 99.19 232 | 97.65 198 | 97.77 245 | 99.27 241 | 98.20 196 | 97.79 343 | 97.98 371 | 94.90 305 | 99.70 304 | 94.42 374 | 99.51 279 | 99.45 195 |
|
| plane_prior7 | | | | | | 99.19 232 | 97.87 175 | | | | | | | | | | |
|
| ab-mvs | | | 98.41 194 | 98.36 192 | 98.59 232 | 99.19 232 | 97.23 227 | 99.32 27 | 98.81 337 | 97.66 243 | 98.62 265 | 99.40 98 | 96.82 225 | 99.80 232 | 95.88 329 | 99.51 279 | 98.75 371 |
|
| F-COLMAP | | | 97.30 309 | 96.68 336 | 99.14 123 | 99.19 232 | 98.39 119 | 97.27 320 | 99.30 226 | 92.93 429 | 96.62 408 | 98.00 369 | 95.73 284 | 99.68 317 | 92.62 420 | 98.46 401 | 99.35 244 |
|
| viewdifsd2359ckpt09 | | | 98.13 238 | 97.92 254 | 98.77 196 | 99.18 240 | 97.35 217 | 97.29 316 | 99.53 118 | 95.81 368 | 98.09 319 | 98.47 329 | 96.34 255 | 99.66 334 | 97.02 239 | 99.51 279 | 99.29 265 |
|
| SR-MVS | | | 98.71 135 | 98.43 180 | 99.57 22 | 99.18 240 | 99.35 17 | 98.36 155 | 99.29 234 | 98.29 185 | 98.88 226 | 98.85 250 | 97.53 175 | 99.87 134 | 96.14 320 | 99.31 318 | 99.48 180 |
|
| UniMVSNet_NR-MVSNet | | | 98.86 109 | 98.68 134 | 99.40 73 | 99.17 242 | 98.74 93 | 97.68 259 | 99.40 181 | 99.14 97 | 99.06 177 | 98.59 312 | 96.71 236 | 99.93 54 | 98.57 121 | 99.77 158 | 99.53 152 |
|
| LF4IMVS | | | 97.90 257 | 97.69 271 | 98.52 251 | 99.17 242 | 97.66 197 | 97.19 330 | 99.47 146 | 96.31 348 | 97.85 339 | 98.20 354 | 96.71 236 | 99.52 393 | 94.62 366 | 99.72 189 | 98.38 407 |
|
| SMA-MVS |  | | 98.40 197 | 98.03 240 | 99.51 49 | 99.16 244 | 99.21 34 | 98.05 195 | 99.22 255 | 94.16 411 | 98.98 197 | 99.10 176 | 97.52 177 | 99.79 245 | 96.45 301 | 99.64 230 | 99.53 152 |
| Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology |
| DU-MVS | | | 98.82 118 | 98.63 144 | 99.39 74 | 99.16 244 | 98.74 93 | 97.54 283 | 99.25 247 | 98.84 143 | 99.06 177 | 98.76 276 | 96.76 232 | 99.93 54 | 98.57 121 | 99.77 158 | 99.50 162 |
|
| NR-MVSNet | | | 98.95 94 | 98.82 112 | 99.36 75 | 99.16 244 | 98.72 98 | 99.22 46 | 99.20 258 | 99.10 106 | 99.72 48 | 98.76 276 | 96.38 252 | 99.86 143 | 98.00 162 | 99.82 124 | 99.50 162 |
|
| MVS_111021_LR | | | 98.30 215 | 98.12 230 | 98.83 178 | 99.16 244 | 98.03 158 | 96.09 394 | 99.30 226 | 97.58 252 | 98.10 318 | 98.24 350 | 98.25 100 | 99.34 429 | 96.69 274 | 99.65 228 | 99.12 310 |
|
| DSMNet-mixed | | | 97.42 300 | 97.60 280 | 96.87 388 | 99.15 248 | 91.46 426 | 98.54 127 | 99.12 280 | 92.87 431 | 97.58 356 | 99.63 40 | 96.21 259 | 99.90 81 | 95.74 338 | 99.54 269 | 99.27 269 |
|
| D2MVS | | | 97.84 270 | 97.84 261 | 97.83 316 | 99.14 249 | 94.74 347 | 96.94 340 | 98.88 321 | 95.84 367 | 98.89 222 | 98.96 223 | 94.40 321 | 99.69 308 | 97.55 199 | 99.95 38 | 99.05 316 |
|
| pmmvs5 | | | 97.64 282 | 97.49 286 | 98.08 301 | 99.14 249 | 95.12 336 | 96.70 355 | 99.05 292 | 93.77 418 | 98.62 265 | 98.83 257 | 93.23 341 | 99.75 276 | 98.33 138 | 99.76 173 | 99.36 239 |
|
| SPE-MVS-test | | | 99.13 68 | 99.09 77 | 99.26 102 | 99.13 251 | 98.97 74 | 99.31 31 | 99.88 14 | 99.44 54 | 98.16 311 | 98.51 321 | 98.64 57 | 99.93 54 | 98.91 95 | 99.85 108 | 98.88 350 |
|
| VDD-MVS | | | 98.56 171 | 98.39 187 | 99.07 136 | 99.13 251 | 98.07 153 | 98.59 121 | 97.01 413 | 99.59 37 | 99.11 170 | 99.27 125 | 94.82 309 | 99.79 245 | 98.34 136 | 99.63 237 | 99.34 246 |
|
| save fliter | | | | | | 99.11 253 | 97.97 164 | 96.53 365 | 99.02 300 | 98.24 188 | | | | | | | |
|
| APD-MVS |  | | 98.10 239 | 97.67 272 | 99.42 69 | 99.11 253 | 98.93 80 | 97.76 248 | 99.28 238 | 94.97 392 | 98.72 252 | 98.77 270 | 97.04 209 | 99.85 156 | 93.79 394 | 99.54 269 | 99.49 169 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| EI-MVSNet-UG-set | | | 98.69 144 | 98.71 128 | 98.62 225 | 99.10 255 | 96.37 284 | 97.23 321 | 98.87 323 | 99.20 84 | 99.19 163 | 98.99 213 | 97.30 193 | 99.85 156 | 98.77 107 | 99.79 147 | 99.65 83 |
|
| EI-MVSNet | | | 98.40 197 | 98.51 163 | 98.04 306 | 99.10 255 | 94.73 348 | 97.20 326 | 98.87 323 | 98.97 125 | 99.06 177 | 99.02 196 | 96.00 269 | 99.80 232 | 98.58 119 | 99.82 124 | 99.60 100 |
|
| CVMVSNet | | | 96.25 361 | 97.21 303 | 93.38 455 | 99.10 255 | 80.56 483 | 97.20 326 | 98.19 380 | 96.94 315 | 99.00 192 | 99.02 196 | 89.50 389 | 99.80 232 | 96.36 307 | 99.59 251 | 99.78 47 |
|
| EI-MVSNet-Vis-set | | | 98.68 150 | 98.70 131 | 98.63 223 | 99.09 258 | 96.40 283 | 97.23 321 | 98.86 328 | 99.20 84 | 99.18 167 | 98.97 220 | 97.29 195 | 99.85 156 | 98.72 111 | 99.78 152 | 99.64 84 |
|
| HPM-MVS++ |  | | 98.10 239 | 97.64 277 | 99.48 57 | 99.09 258 | 99.13 61 | 97.52 285 | 98.75 348 | 97.46 270 | 96.90 396 | 97.83 381 | 96.01 268 | 99.84 174 | 95.82 336 | 99.35 311 | 99.46 190 |
|
| DP-MVS Recon | | | 97.33 307 | 96.92 319 | 98.57 236 | 99.09 258 | 97.99 160 | 96.79 348 | 99.35 199 | 93.18 425 | 97.71 347 | 98.07 365 | 95.00 304 | 99.31 433 | 93.97 387 | 99.13 349 | 98.42 404 |
|
| MVS_111021_HR | | | 98.25 224 | 98.08 235 | 98.75 200 | 99.09 258 | 97.46 211 | 95.97 398 | 99.27 241 | 97.60 251 | 97.99 329 | 98.25 349 | 98.15 116 | 99.38 424 | 96.87 257 | 99.57 260 | 99.42 208 |
|
| BP-MVS1 | | | 97.40 302 | 96.97 315 | 98.71 209 | 99.07 262 | 96.81 260 | 98.34 158 | 97.18 408 | 98.58 162 | 98.17 308 | 98.61 309 | 84.01 428 | 99.94 42 | 98.97 91 | 99.78 152 | 99.37 232 |
|
| 9.14 | | | | 97.78 263 | | 99.07 262 | | 97.53 284 | 99.32 213 | 95.53 377 | 98.54 281 | 98.70 289 | 97.58 168 | 99.76 268 | 94.32 379 | 99.46 292 | |
|
| PAPM_NR | | | 96.82 341 | 96.32 352 | 98.30 279 | 99.07 262 | 96.69 268 | 97.48 291 | 98.76 345 | 95.81 368 | 96.61 409 | 96.47 426 | 94.12 330 | 99.17 446 | 90.82 447 | 97.78 427 | 99.06 315 |
|
| TAMVS | | | 98.24 225 | 98.05 238 | 98.80 184 | 99.07 262 | 97.18 235 | 97.88 228 | 98.81 337 | 96.66 332 | 99.17 168 | 99.21 145 | 94.81 311 | 99.77 262 | 96.96 247 | 99.88 95 | 99.44 199 |
|
| CLD-MVS | | | 97.49 293 | 97.16 305 | 98.48 257 | 99.07 262 | 97.03 246 | 94.71 443 | 99.21 256 | 94.46 403 | 98.06 322 | 97.16 412 | 97.57 169 | 99.48 405 | 94.46 371 | 99.78 152 | 98.95 336 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| CS-MVS | | | 99.13 68 | 99.10 75 | 99.24 107 | 99.06 267 | 99.15 53 | 99.36 22 | 99.88 14 | 99.36 65 | 98.21 307 | 98.46 330 | 98.68 54 | 99.93 54 | 99.03 87 | 99.85 108 | 98.64 383 |
|
| thres100view900 | | | 94.19 404 | 93.67 409 | 95.75 422 | 99.06 267 | 91.35 430 | 98.03 199 | 94.24 456 | 98.33 178 | 97.40 372 | 94.98 456 | 79.84 444 | 99.62 351 | 83.05 468 | 98.08 418 | 96.29 463 |
|
| thres600view7 | | | 94.45 399 | 93.83 406 | 96.29 406 | 99.06 267 | 91.53 425 | 97.99 213 | 94.24 456 | 98.34 177 | 97.44 370 | 95.01 454 | 79.84 444 | 99.67 321 | 84.33 466 | 98.23 407 | 97.66 444 |
|
| plane_prior1 | | | | | | 99.05 270 | | | | | | | | | | | |
|
| YYNet1 | | | 97.60 284 | 97.67 272 | 97.39 364 | 99.04 271 | 93.04 403 | 95.27 429 | 98.38 372 | 97.25 291 | 98.92 217 | 98.95 227 | 95.48 293 | 99.73 288 | 96.99 243 | 98.74 382 | 99.41 211 |
|
| MDA-MVSNet_test_wron | | | 97.60 284 | 97.66 275 | 97.41 363 | 99.04 271 | 93.09 399 | 95.27 429 | 98.42 369 | 97.26 290 | 98.88 226 | 98.95 227 | 95.43 294 | 99.73 288 | 97.02 239 | 98.72 384 | 99.41 211 |
|
| MIMVSNet | | | 96.62 348 | 96.25 356 | 97.71 331 | 99.04 271 | 94.66 351 | 99.16 55 | 96.92 419 | 97.23 297 | 97.87 336 | 99.10 176 | 86.11 411 | 99.65 341 | 91.65 431 | 99.21 337 | 98.82 355 |
|
| icg_test_0407_2 | | | 98.20 230 | 98.38 189 | 97.65 337 | 99.03 274 | 94.03 371 | 95.78 412 | 99.45 154 | 98.16 202 | 99.06 177 | 98.71 282 | 98.27 96 | 99.68 317 | 97.50 205 | 99.45 294 | 99.22 286 |
|
| IMVS_0407 | | | 98.39 203 | 98.64 142 | 97.66 335 | 99.03 274 | 94.03 371 | 98.10 185 | 99.45 154 | 98.16 202 | 99.06 177 | 98.71 282 | 98.27 96 | 99.71 297 | 97.50 205 | 99.45 294 | 99.22 286 |
|
| IMVS_0404 | | | 98.07 243 | 98.20 217 | 97.69 332 | 99.03 274 | 94.03 371 | 96.67 356 | 99.45 154 | 98.16 202 | 98.03 326 | 98.71 282 | 96.80 228 | 99.82 206 | 97.50 205 | 99.45 294 | 99.22 286 |
|
| IMVS_0403 | | | 98.34 207 | 98.56 156 | 97.66 335 | 99.03 274 | 94.03 371 | 97.98 214 | 99.45 154 | 98.16 202 | 98.89 222 | 98.71 282 | 97.90 135 | 99.74 281 | 97.50 205 | 99.45 294 | 99.22 286 |
|
| PatchMatch-RL | | | 97.24 315 | 96.78 330 | 98.61 229 | 99.03 274 | 97.83 179 | 96.36 376 | 99.06 288 | 93.49 423 | 97.36 376 | 97.78 382 | 95.75 283 | 99.49 402 | 93.44 403 | 98.77 381 | 98.52 392 |
|
| viewmambaseed2359dif | | | 98.19 231 | 98.26 210 | 97.99 309 | 99.02 279 | 95.03 339 | 96.59 362 | 99.53 118 | 96.21 351 | 99.00 192 | 98.99 213 | 97.62 164 | 99.61 358 | 97.62 194 | 99.72 189 | 99.33 252 |
|
| GDP-MVS | | | 97.50 290 | 97.11 309 | 98.67 215 | 99.02 279 | 96.85 258 | 98.16 175 | 99.71 48 | 98.32 180 | 98.52 284 | 98.54 316 | 83.39 432 | 99.95 26 | 98.79 103 | 99.56 263 | 99.19 296 |
|
| ZD-MVS | | | | | | 99.01 281 | 98.84 87 | | 99.07 287 | 94.10 413 | 98.05 324 | 98.12 359 | 96.36 254 | 99.86 143 | 92.70 419 | 99.19 341 | |
|
| CDPH-MVS | | | 97.26 312 | 96.66 339 | 99.07 136 | 99.00 282 | 98.15 140 | 96.03 396 | 99.01 303 | 91.21 449 | 97.79 343 | 97.85 380 | 96.89 220 | 99.69 308 | 92.75 417 | 99.38 308 | 99.39 221 |
|
| diffmvs |  | | 98.22 226 | 98.24 214 | 98.17 294 | 99.00 282 | 95.44 323 | 96.38 375 | 99.58 89 | 97.79 235 | 98.53 282 | 98.50 325 | 96.76 232 | 99.74 281 | 97.95 167 | 99.64 230 | 99.34 246 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| WR-MVS | | | 98.40 197 | 98.19 221 | 99.03 146 | 99.00 282 | 97.65 198 | 96.85 346 | 98.94 308 | 98.57 163 | 98.89 222 | 98.50 325 | 95.60 287 | 99.85 156 | 97.54 201 | 99.85 108 | 99.59 107 |
|
| plane_prior6 | | | | | | 98.99 285 | 97.70 196 | | | | | | 94.90 305 | | | | |
|
| xiu_mvs_v1_base_debu | | | 97.86 264 | 98.17 223 | 96.92 385 | 98.98 286 | 93.91 381 | 96.45 369 | 99.17 270 | 97.85 230 | 98.41 293 | 97.14 414 | 98.47 73 | 99.92 65 | 98.02 159 | 99.05 355 | 96.92 456 |
|
| xiu_mvs_v1_base | | | 97.86 264 | 98.17 223 | 96.92 385 | 98.98 286 | 93.91 381 | 96.45 369 | 99.17 270 | 97.85 230 | 98.41 293 | 97.14 414 | 98.47 73 | 99.92 65 | 98.02 159 | 99.05 355 | 96.92 456 |
|
| xiu_mvs_v1_base_debi | | | 97.86 264 | 98.17 223 | 96.92 385 | 98.98 286 | 93.91 381 | 96.45 369 | 99.17 270 | 97.85 230 | 98.41 293 | 97.14 414 | 98.47 73 | 99.92 65 | 98.02 159 | 99.05 355 | 96.92 456 |
|
| MVP-Stereo | | | 98.08 242 | 97.92 254 | 98.57 236 | 98.96 289 | 96.79 261 | 97.90 226 | 99.18 266 | 96.41 344 | 98.46 288 | 98.95 227 | 95.93 278 | 99.60 361 | 96.51 297 | 98.98 369 | 99.31 259 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| SD-MVS | | | 98.40 197 | 98.68 134 | 97.54 352 | 98.96 289 | 97.99 160 | 97.88 228 | 99.36 193 | 98.20 196 | 99.63 67 | 99.04 193 | 98.76 46 | 95.33 479 | 96.56 291 | 99.74 178 | 99.31 259 |
| Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024 |
| 新几何1 | | | | | 98.91 169 | 98.94 291 | 97.76 190 | | 98.76 345 | 87.58 466 | 96.75 404 | 98.10 361 | 94.80 312 | 99.78 256 | 92.73 418 | 99.00 364 | 99.20 291 |
|
| USDC | | | 97.41 301 | 97.40 290 | 97.44 361 | 98.94 291 | 93.67 391 | 95.17 432 | 99.53 118 | 94.03 415 | 98.97 201 | 99.10 176 | 95.29 296 | 99.34 429 | 95.84 335 | 99.73 181 | 99.30 263 |
|
| tfpn200view9 | | | 94.03 408 | 93.44 411 | 95.78 421 | 98.93 293 | 91.44 428 | 97.60 275 | 94.29 454 | 97.94 222 | 97.10 382 | 94.31 463 | 79.67 446 | 99.62 351 | 83.05 468 | 98.08 418 | 96.29 463 |
|
| testdata | | | | | 98.09 298 | 98.93 293 | 95.40 325 | | 98.80 339 | 90.08 457 | 97.45 369 | 98.37 339 | 95.26 297 | 99.70 304 | 93.58 399 | 98.95 372 | 99.17 303 |
|
| thres400 | | | 94.14 406 | 93.44 411 | 96.24 409 | 98.93 293 | 91.44 428 | 97.60 275 | 94.29 454 | 97.94 222 | 97.10 382 | 94.31 463 | 79.67 446 | 99.62 351 | 83.05 468 | 98.08 418 | 97.66 444 |
|
| TAPA-MVS | | 96.21 11 | 96.63 347 | 95.95 358 | 98.65 217 | 98.93 293 | 98.09 147 | 96.93 342 | 99.28 238 | 83.58 472 | 98.13 315 | 97.78 382 | 96.13 262 | 99.40 420 | 93.52 400 | 99.29 323 | 98.45 397 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| test222 | | | | | | 98.92 297 | 96.93 254 | 95.54 419 | 98.78 342 | 85.72 469 | 96.86 399 | 98.11 360 | 94.43 319 | | | 99.10 354 | 99.23 281 |
|
| PVSNet_BlendedMVS | | | 97.55 289 | 97.53 283 | 97.60 344 | 98.92 297 | 93.77 388 | 96.64 358 | 99.43 168 | 94.49 401 | 97.62 352 | 99.18 154 | 96.82 225 | 99.67 321 | 94.73 363 | 99.93 56 | 99.36 239 |
|
| PVSNet_Blended | | | 96.88 337 | 96.68 336 | 97.47 359 | 98.92 297 | 93.77 388 | 94.71 443 | 99.43 168 | 90.98 451 | 97.62 352 | 97.36 408 | 96.82 225 | 99.67 321 | 94.73 363 | 99.56 263 | 98.98 330 |
|
| MSDG | | | 97.71 277 | 97.52 284 | 98.28 281 | 98.91 300 | 96.82 259 | 94.42 453 | 99.37 189 | 97.65 244 | 98.37 298 | 98.29 348 | 97.40 187 | 99.33 431 | 94.09 385 | 99.22 334 | 98.68 381 |
|
| Anonymous202405211 | | | 97.90 257 | 97.50 285 | 99.08 134 | 98.90 301 | 98.25 130 | 98.53 128 | 96.16 431 | 98.87 137 | 99.11 170 | 98.86 247 | 90.40 381 | 99.78 256 | 97.36 214 | 99.31 318 | 99.19 296 |
|
| 原ACMM1 | | | | | 98.35 274 | 98.90 301 | 96.25 288 | | 98.83 336 | 92.48 435 | 96.07 426 | 98.10 361 | 95.39 295 | 99.71 297 | 92.61 421 | 98.99 366 | 99.08 312 |
|
| GBi-Net | | | 98.65 155 | 98.47 174 | 99.17 116 | 98.90 301 | 98.24 131 | 99.20 49 | 99.44 162 | 98.59 159 | 98.95 207 | 99.55 58 | 94.14 327 | 99.86 143 | 97.77 181 | 99.69 208 | 99.41 211 |
|
| test1 | | | 98.65 155 | 98.47 174 | 99.17 116 | 98.90 301 | 98.24 131 | 99.20 49 | 99.44 162 | 98.59 159 | 98.95 207 | 99.55 58 | 94.14 327 | 99.86 143 | 97.77 181 | 99.69 208 | 99.41 211 |
|
| FMVSNet2 | | | 98.49 187 | 98.40 184 | 98.75 200 | 98.90 301 | 97.14 240 | 98.61 119 | 99.13 279 | 98.59 159 | 99.19 163 | 99.28 123 | 94.14 327 | 99.82 206 | 97.97 165 | 99.80 141 | 99.29 265 |
|
| OMC-MVS | | | 97.88 261 | 97.49 286 | 99.04 145 | 98.89 306 | 98.63 100 | 96.94 340 | 99.25 247 | 95.02 390 | 98.53 282 | 98.51 321 | 97.27 196 | 99.47 408 | 93.50 402 | 99.51 279 | 99.01 324 |
|
| VortexMVS | | | 97.98 254 | 98.31 202 | 97.02 379 | 98.88 307 | 91.45 427 | 98.03 199 | 99.47 146 | 98.65 150 | 99.55 77 | 99.47 80 | 91.49 370 | 99.81 223 | 99.32 61 | 99.91 78 | 99.80 42 |
|
| MVSFormer | | | 98.26 221 | 98.43 180 | 97.77 321 | 98.88 307 | 93.89 384 | 99.39 20 | 99.56 105 | 99.11 99 | 98.16 311 | 98.13 357 | 93.81 335 | 99.97 7 | 99.26 66 | 99.57 260 | 99.43 203 |
|
| lupinMVS | | | 97.06 327 | 96.86 323 | 97.65 337 | 98.88 307 | 93.89 384 | 95.48 423 | 97.97 386 | 93.53 421 | 98.16 311 | 97.58 394 | 93.81 335 | 99.91 74 | 96.77 265 | 99.57 260 | 99.17 303 |
|
| dmvs_re | | | 95.98 369 | 95.39 379 | 97.74 327 | 98.86 310 | 97.45 212 | 98.37 154 | 95.69 443 | 97.95 220 | 96.56 410 | 95.95 435 | 90.70 378 | 97.68 473 | 88.32 456 | 96.13 460 | 98.11 419 |
|
| DELS-MVS | | | 98.27 219 | 98.20 217 | 98.48 257 | 98.86 310 | 96.70 267 | 95.60 418 | 99.20 258 | 97.73 238 | 98.45 289 | 98.71 282 | 97.50 179 | 99.82 206 | 98.21 144 | 99.59 251 | 98.93 341 |
| 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 |
| TinyColmap | | | 97.89 259 | 97.98 245 | 97.60 344 | 98.86 310 | 94.35 359 | 96.21 385 | 99.44 162 | 97.45 272 | 99.06 177 | 98.88 244 | 97.99 129 | 99.28 439 | 94.38 378 | 99.58 256 | 99.18 299 |
|
| LCM-MVSNet-Re | | | 98.64 157 | 98.48 172 | 99.11 127 | 98.85 313 | 98.51 113 | 98.49 139 | 99.83 25 | 98.37 174 | 99.69 56 | 99.46 82 | 98.21 107 | 99.92 65 | 94.13 384 | 99.30 321 | 98.91 345 |
|
| pmmvs4 | | | 97.58 287 | 97.28 298 | 98.51 252 | 98.84 314 | 96.93 254 | 95.40 427 | 98.52 364 | 93.60 420 | 98.61 267 | 98.65 300 | 95.10 301 | 99.60 361 | 96.97 246 | 99.79 147 | 98.99 329 |
|
| NP-MVS | | | | | | 98.84 314 | 97.39 216 | | | | | 96.84 417 | | | | | |
|
| sss | | | 97.21 317 | 96.93 317 | 98.06 303 | 98.83 316 | 95.22 332 | 96.75 352 | 98.48 366 | 94.49 401 | 97.27 378 | 97.90 377 | 92.77 353 | 99.80 232 | 96.57 287 | 99.32 316 | 99.16 306 |
|
| PVSNet | | 93.40 17 | 95.67 378 | 95.70 364 | 95.57 426 | 98.83 316 | 88.57 453 | 92.50 470 | 97.72 391 | 92.69 433 | 96.49 418 | 96.44 427 | 93.72 338 | 99.43 416 | 93.61 397 | 99.28 324 | 98.71 374 |
|
| MVE |  | 83.40 22 | 92.50 431 | 91.92 433 | 94.25 442 | 98.83 316 | 91.64 424 | 92.71 469 | 83.52 482 | 95.92 365 | 86.46 480 | 95.46 448 | 95.20 298 | 95.40 478 | 80.51 473 | 98.64 393 | 95.73 471 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| testing3-2 | | | 93.78 412 | 93.91 404 | 93.39 454 | 98.82 319 | 81.72 481 | 97.76 248 | 95.28 445 | 98.60 158 | 96.54 411 | 96.66 421 | 65.85 476 | 99.62 351 | 96.65 280 | 98.99 366 | 98.82 355 |
|
| ambc | | | | | 98.24 286 | 98.82 319 | 95.97 299 | 98.62 117 | 99.00 305 | | 99.27 145 | 99.21 145 | 96.99 214 | 99.50 399 | 96.55 294 | 99.50 287 | 99.26 275 |
|
| 旧先验1 | | | | | | 98.82 319 | 97.45 212 | | 98.76 345 | | | 98.34 343 | 95.50 292 | | | 99.01 363 | 99.23 281 |
|
| test_vis1_rt | | | 97.75 274 | 97.72 269 | 97.83 316 | 98.81 322 | 96.35 285 | 97.30 315 | 99.69 55 | 94.61 399 | 97.87 336 | 98.05 366 | 96.26 258 | 98.32 467 | 98.74 109 | 98.18 410 | 98.82 355 |
|
| WTY-MVS | | | 96.67 345 | 96.27 355 | 97.87 314 | 98.81 322 | 94.61 353 | 96.77 350 | 97.92 388 | 94.94 393 | 97.12 381 | 97.74 385 | 91.11 374 | 99.82 206 | 93.89 390 | 98.15 414 | 99.18 299 |
|
| 3Dnovator+ | | 97.89 3 | 98.69 144 | 98.51 163 | 99.24 107 | 98.81 322 | 98.40 118 | 99.02 70 | 99.19 262 | 98.99 122 | 98.07 321 | 99.28 123 | 97.11 207 | 99.84 174 | 96.84 260 | 99.32 316 | 99.47 188 |
|
| QAPM | | | 97.31 308 | 96.81 329 | 98.82 180 | 98.80 325 | 97.49 206 | 99.06 66 | 99.19 262 | 90.22 455 | 97.69 349 | 99.16 160 | 96.91 219 | 99.90 81 | 90.89 446 | 99.41 303 | 99.07 314 |
|
| VNet | | | 98.42 193 | 98.30 203 | 98.79 188 | 98.79 326 | 97.29 223 | 98.23 166 | 98.66 355 | 99.31 70 | 98.85 231 | 98.80 264 | 94.80 312 | 99.78 256 | 98.13 149 | 99.13 349 | 99.31 259 |
|
| DPM-MVS | | | 96.32 357 | 95.59 370 | 98.51 252 | 98.76 327 | 97.21 231 | 94.54 452 | 98.26 375 | 91.94 440 | 96.37 419 | 97.25 410 | 93.06 347 | 99.43 416 | 91.42 436 | 98.74 382 | 98.89 347 |
|
| 3Dnovator | | 98.27 2 | 98.81 120 | 98.73 121 | 99.05 143 | 98.76 327 | 97.81 187 | 99.25 44 | 99.30 226 | 98.57 163 | 98.55 279 | 99.33 113 | 97.95 132 | 99.90 81 | 97.16 227 | 99.67 219 | 99.44 199 |
|
| PLC |  | 94.65 16 | 96.51 350 | 95.73 363 | 98.85 176 | 98.75 329 | 97.91 172 | 96.42 373 | 99.06 288 | 90.94 452 | 95.59 432 | 97.38 406 | 94.41 320 | 99.59 365 | 90.93 444 | 98.04 423 | 99.05 316 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| BH-untuned | | | 96.83 339 | 96.75 332 | 97.08 376 | 98.74 330 | 93.33 397 | 96.71 354 | 98.26 375 | 96.72 329 | 98.44 290 | 97.37 407 | 95.20 298 | 99.47 408 | 91.89 426 | 97.43 437 | 98.44 400 |
|
| hse-mvs2 | | | 97.46 295 | 97.07 310 | 98.64 219 | 98.73 331 | 97.33 219 | 97.45 297 | 97.64 398 | 99.11 99 | 98.58 273 | 97.98 371 | 88.65 396 | 99.79 245 | 98.11 150 | 97.39 439 | 98.81 360 |
|
| CDS-MVSNet | | | 97.69 278 | 97.35 295 | 98.69 212 | 98.73 331 | 97.02 247 | 96.92 344 | 98.75 348 | 95.89 366 | 98.59 271 | 98.67 295 | 92.08 364 | 99.74 281 | 96.72 271 | 99.81 130 | 99.32 255 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| SD_0403 | | | 96.28 359 | 95.83 360 | 97.64 340 | 98.72 333 | 94.30 360 | 98.87 89 | 98.77 343 | 97.80 233 | 96.53 412 | 98.02 368 | 97.34 191 | 99.47 408 | 76.93 477 | 99.48 290 | 99.16 306 |
|
| EIA-MVS | | | 98.00 250 | 97.74 266 | 98.80 184 | 98.72 333 | 98.09 147 | 98.05 195 | 99.60 80 | 97.39 277 | 96.63 407 | 95.55 443 | 97.68 156 | 99.80 232 | 96.73 270 | 99.27 325 | 98.52 392 |
|
| LFMVS | | | 97.20 318 | 96.72 333 | 98.64 219 | 98.72 333 | 96.95 252 | 98.93 82 | 94.14 458 | 99.74 13 | 98.78 243 | 99.01 207 | 84.45 423 | 99.73 288 | 97.44 210 | 99.27 325 | 99.25 276 |
|
| new_pmnet | | | 96.99 334 | 96.76 331 | 97.67 333 | 98.72 333 | 94.89 342 | 95.95 402 | 98.20 378 | 92.62 434 | 98.55 279 | 98.54 316 | 94.88 308 | 99.52 393 | 93.96 388 | 99.44 301 | 98.59 389 |
|
| Fast-Effi-MVS+ | | | 97.67 280 | 97.38 292 | 98.57 236 | 98.71 337 | 97.43 214 | 97.23 321 | 99.45 154 | 94.82 396 | 96.13 423 | 96.51 423 | 98.52 71 | 99.91 74 | 96.19 316 | 98.83 378 | 98.37 409 |
|
| TEST9 | | | | | | 98.71 337 | 98.08 151 | 95.96 400 | 99.03 297 | 91.40 446 | 95.85 429 | 97.53 396 | 96.52 245 | 99.76 268 | | | |
|
| train_agg | | | 97.10 324 | 96.45 349 | 99.07 136 | 98.71 337 | 98.08 151 | 95.96 400 | 99.03 297 | 91.64 441 | 95.85 429 | 97.53 396 | 96.47 247 | 99.76 268 | 93.67 396 | 99.16 344 | 99.36 239 |
|
| TSAR-MVS + GP. | | | 98.18 233 | 97.98 245 | 98.77 196 | 98.71 337 | 97.88 174 | 96.32 379 | 98.66 355 | 96.33 346 | 99.23 157 | 98.51 321 | 97.48 183 | 99.40 420 | 97.16 227 | 99.46 292 | 99.02 323 |
|
| FA-MVS(test-final) | | | 96.99 334 | 96.82 327 | 97.50 356 | 98.70 341 | 94.78 345 | 99.34 23 | 96.99 414 | 95.07 389 | 98.48 287 | 99.33 113 | 88.41 399 | 99.65 341 | 96.13 322 | 98.92 375 | 98.07 422 |
|
| AUN-MVS | | | 96.24 363 | 95.45 375 | 98.60 231 | 98.70 341 | 97.22 229 | 97.38 304 | 97.65 396 | 95.95 364 | 95.53 439 | 97.96 375 | 82.11 440 | 99.79 245 | 96.31 309 | 97.44 436 | 98.80 365 |
|
| our_test_3 | | | 97.39 303 | 97.73 268 | 96.34 404 | 98.70 341 | 89.78 449 | 94.61 449 | 98.97 307 | 96.50 337 | 99.04 187 | 98.85 250 | 95.98 274 | 99.84 174 | 97.26 221 | 99.67 219 | 99.41 211 |
|
| ppachtmachnet_test | | | 97.50 290 | 97.74 266 | 96.78 394 | 98.70 341 | 91.23 436 | 94.55 451 | 99.05 292 | 96.36 345 | 99.21 161 | 98.79 266 | 96.39 250 | 99.78 256 | 96.74 268 | 99.82 124 | 99.34 246 |
|
| PCF-MVS | | 92.86 18 | 94.36 400 | 93.00 418 | 98.42 264 | 98.70 341 | 97.56 203 | 93.16 468 | 99.11 282 | 79.59 476 | 97.55 359 | 97.43 403 | 92.19 361 | 99.73 288 | 79.85 474 | 99.45 294 | 97.97 428 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| ttmdpeth | | | 97.91 256 | 98.02 241 | 97.58 346 | 98.69 346 | 94.10 367 | 98.13 178 | 98.90 317 | 97.95 220 | 97.32 377 | 99.58 48 | 95.95 277 | 98.75 462 | 96.41 303 | 99.22 334 | 99.87 22 |
|
| ETV-MVS | | | 98.03 246 | 97.86 260 | 98.56 241 | 98.69 346 | 98.07 153 | 97.51 287 | 99.50 127 | 98.10 210 | 97.50 364 | 95.51 444 | 98.41 80 | 99.88 115 | 96.27 312 | 99.24 330 | 97.71 443 |
|
| test_prior | | | | | 98.95 161 | 98.69 346 | 97.95 168 | | 99.03 297 | | | | | 99.59 365 | | | 99.30 263 |
|
| mvsmamba | | | 97.57 288 | 97.26 299 | 98.51 252 | 98.69 346 | 96.73 266 | 98.74 98 | 97.25 407 | 97.03 311 | 97.88 335 | 99.23 143 | 90.95 375 | 99.87 134 | 96.61 283 | 99.00 364 | 98.91 345 |
|
| agg_prior | | | | | | 98.68 350 | 97.99 160 | | 99.01 303 | | 95.59 432 | | | 99.77 262 | | | |
|
| test_8 | | | | | | 98.67 351 | 98.01 159 | 95.91 406 | 99.02 300 | 91.64 441 | 95.79 431 | 97.50 399 | 96.47 247 | 99.76 268 | | | |
|
| HQP-NCC | | | | | | 98.67 351 | | 96.29 381 | | 96.05 357 | 95.55 435 | | | | | | |
|
| ACMP_Plane | | | | | | 98.67 351 | | 96.29 381 | | 96.05 357 | 95.55 435 | | | | | | |
|
| CNVR-MVS | | | 98.17 235 | 97.87 259 | 99.07 136 | 98.67 351 | 98.24 131 | 97.01 336 | 98.93 311 | 97.25 291 | 97.62 352 | 98.34 343 | 97.27 196 | 99.57 374 | 96.42 302 | 99.33 314 | 99.39 221 |
|
| HQP-MVS | | | 97.00 333 | 96.49 348 | 98.55 243 | 98.67 351 | 96.79 261 | 96.29 381 | 99.04 295 | 96.05 357 | 95.55 435 | 96.84 417 | 93.84 333 | 99.54 387 | 92.82 414 | 99.26 328 | 99.32 255 |
|
| MM | | | 98.22 226 | 97.99 244 | 98.91 169 | 98.66 356 | 96.97 249 | 97.89 227 | 94.44 452 | 99.54 41 | 98.95 207 | 99.14 167 | 93.50 339 | 99.92 65 | 99.80 17 | 99.96 28 | 99.85 30 |
|
| test_fmvs1 | | | 97.72 276 | 97.94 251 | 97.07 378 | 98.66 356 | 92.39 414 | 97.68 259 | 99.81 31 | 95.20 388 | 99.54 79 | 99.44 87 | 91.56 369 | 99.41 419 | 99.78 21 | 99.77 158 | 99.40 220 |
|
| balanced_conf03 | | | 98.63 159 | 98.72 123 | 98.38 269 | 98.66 356 | 96.68 269 | 98.90 84 | 99.42 174 | 98.99 122 | 98.97 201 | 99.19 150 | 95.81 282 | 99.85 156 | 98.77 107 | 99.77 158 | 98.60 386 |
|
| thres200 | | | 93.72 414 | 93.14 416 | 95.46 430 | 98.66 356 | 91.29 432 | 96.61 360 | 94.63 451 | 97.39 277 | 96.83 400 | 93.71 466 | 79.88 443 | 99.56 377 | 82.40 471 | 98.13 415 | 95.54 472 |
|
| wuyk23d | | | 96.06 365 | 97.62 279 | 91.38 459 | 98.65 360 | 98.57 107 | 98.85 93 | 96.95 417 | 96.86 322 | 99.90 14 | 99.16 160 | 99.18 19 | 98.40 466 | 89.23 454 | 99.77 158 | 77.18 479 |
|
| NCCC | | | 97.86 264 | 97.47 289 | 99.05 143 | 98.61 361 | 98.07 153 | 96.98 338 | 98.90 317 | 97.63 245 | 97.04 386 | 97.93 376 | 95.99 273 | 99.66 334 | 95.31 351 | 98.82 380 | 99.43 203 |
|
| DeepC-MVS_fast | | 96.85 6 | 98.30 215 | 98.15 227 | 98.75 200 | 98.61 361 | 97.23 227 | 97.76 248 | 99.09 285 | 97.31 285 | 98.75 249 | 98.66 298 | 97.56 170 | 99.64 345 | 96.10 323 | 99.55 267 | 99.39 221 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| testing3 | | | 93.51 416 | 92.09 427 | 97.75 325 | 98.60 363 | 94.40 357 | 97.32 312 | 95.26 446 | 97.56 255 | 96.79 403 | 95.50 445 | 53.57 484 | 99.77 262 | 95.26 352 | 98.97 370 | 99.08 312 |
|
| thisisatest0515 | | | 94.12 407 | 93.16 415 | 96.97 383 | 98.60 363 | 92.90 404 | 93.77 464 | 90.61 471 | 94.10 413 | 96.91 393 | 95.87 438 | 74.99 458 | 99.80 232 | 94.52 369 | 99.12 352 | 98.20 415 |
|
| GA-MVS | | | 95.86 372 | 95.32 382 | 97.49 357 | 98.60 363 | 94.15 366 | 93.83 463 | 97.93 387 | 95.49 378 | 96.68 405 | 97.42 404 | 83.21 433 | 99.30 435 | 96.22 314 | 98.55 399 | 99.01 324 |
|
| dmvs_testset | | | 92.94 426 | 92.21 426 | 95.13 434 | 98.59 366 | 90.99 439 | 97.65 265 | 92.09 467 | 96.95 314 | 94.00 459 | 93.55 467 | 92.34 359 | 96.97 476 | 72.20 478 | 92.52 474 | 97.43 451 |
|
| OPU-MVS | | | | | 98.82 180 | 98.59 366 | 98.30 127 | 98.10 185 | | | | 98.52 320 | 98.18 110 | 98.75 462 | 94.62 366 | 99.48 290 | 99.41 211 |
|
| MSLP-MVS++ | | | 98.02 247 | 98.14 229 | 97.64 340 | 98.58 368 | 95.19 333 | 97.48 291 | 99.23 254 | 97.47 265 | 97.90 333 | 98.62 307 | 97.04 209 | 98.81 460 | 97.55 199 | 99.41 303 | 98.94 340 |
|
| test12 | | | | | 98.93 165 | 98.58 368 | 97.83 179 | | 98.66 355 | | 96.53 412 | | 95.51 291 | 99.69 308 | | 99.13 349 | 99.27 269 |
|
| CL-MVSNet_self_test | | | 97.44 298 | 97.22 302 | 98.08 301 | 98.57 370 | 95.78 307 | 94.30 456 | 98.79 340 | 96.58 335 | 98.60 269 | 98.19 355 | 94.74 315 | 99.64 345 | 96.41 303 | 98.84 377 | 98.82 355 |
|
| PS-MVSNAJ | | | 97.08 326 | 97.39 291 | 96.16 415 | 98.56 371 | 92.46 412 | 95.24 431 | 98.85 331 | 97.25 291 | 97.49 365 | 95.99 434 | 98.07 120 | 99.90 81 | 96.37 305 | 98.67 392 | 96.12 468 |
|
| CNLPA | | | 97.17 321 | 96.71 334 | 98.55 243 | 98.56 371 | 98.05 157 | 96.33 378 | 98.93 311 | 96.91 319 | 97.06 385 | 97.39 405 | 94.38 322 | 99.45 413 | 91.66 430 | 99.18 343 | 98.14 418 |
|
| xiu_mvs_v2_base | | | 97.16 322 | 97.49 286 | 96.17 413 | 98.54 373 | 92.46 412 | 95.45 424 | 98.84 332 | 97.25 291 | 97.48 366 | 96.49 424 | 98.31 91 | 99.90 81 | 96.34 308 | 98.68 391 | 96.15 467 |
|
| alignmvs | | | 97.35 305 | 96.88 322 | 98.78 191 | 98.54 373 | 98.09 147 | 97.71 255 | 97.69 393 | 99.20 84 | 97.59 355 | 95.90 437 | 88.12 401 | 99.55 381 | 98.18 146 | 98.96 371 | 98.70 377 |
|
| FE-MVS | | | 95.66 379 | 94.95 392 | 97.77 321 | 98.53 375 | 95.28 329 | 99.40 19 | 96.09 434 | 93.11 427 | 97.96 330 | 99.26 131 | 79.10 450 | 99.77 262 | 92.40 423 | 98.71 386 | 98.27 413 |
|
| Effi-MVS+ | | | 98.02 247 | 97.82 262 | 98.62 225 | 98.53 375 | 97.19 233 | 97.33 311 | 99.68 61 | 97.30 286 | 96.68 405 | 97.46 402 | 98.56 69 | 99.80 232 | 96.63 281 | 98.20 409 | 98.86 352 |
|
| baseline1 | | | 95.96 370 | 95.44 376 | 97.52 354 | 98.51 377 | 93.99 378 | 98.39 152 | 96.09 434 | 98.21 192 | 98.40 297 | 97.76 384 | 86.88 403 | 99.63 348 | 95.42 349 | 89.27 477 | 98.95 336 |
|
| MVS_Test | | | 98.18 233 | 98.36 192 | 97.67 333 | 98.48 378 | 94.73 348 | 98.18 171 | 99.02 300 | 97.69 241 | 98.04 325 | 99.11 173 | 97.22 200 | 99.56 377 | 98.57 121 | 98.90 376 | 98.71 374 |
|
| MGCFI-Net | | | 98.34 207 | 98.28 206 | 98.51 252 | 98.47 379 | 97.59 202 | 98.96 78 | 99.48 137 | 99.18 92 | 97.40 372 | 95.50 445 | 98.66 55 | 99.50 399 | 98.18 146 | 98.71 386 | 98.44 400 |
|
| BH-RMVSNet | | | 96.83 339 | 96.58 344 | 97.58 346 | 98.47 379 | 94.05 368 | 96.67 356 | 97.36 402 | 96.70 331 | 97.87 336 | 97.98 371 | 95.14 300 | 99.44 415 | 90.47 449 | 98.58 398 | 99.25 276 |
|
| sasdasda | | | 98.34 207 | 98.26 210 | 98.58 233 | 98.46 381 | 97.82 184 | 98.96 78 | 99.46 150 | 99.19 89 | 97.46 367 | 95.46 448 | 98.59 63 | 99.46 411 | 98.08 153 | 98.71 386 | 98.46 394 |
|
| canonicalmvs | | | 98.34 207 | 98.26 210 | 98.58 233 | 98.46 381 | 97.82 184 | 98.96 78 | 99.46 150 | 99.19 89 | 97.46 367 | 95.46 448 | 98.59 63 | 99.46 411 | 98.08 153 | 98.71 386 | 98.46 394 |
|
| MVS-HIRNet | | | 94.32 401 | 95.62 367 | 90.42 460 | 98.46 381 | 75.36 484 | 96.29 381 | 89.13 475 | 95.25 385 | 95.38 441 | 99.75 16 | 92.88 350 | 99.19 445 | 94.07 386 | 99.39 305 | 96.72 461 |
|
| PHI-MVS | | | 98.29 218 | 97.95 249 | 99.34 84 | 98.44 384 | 99.16 49 | 98.12 182 | 99.38 185 | 96.01 361 | 98.06 322 | 98.43 333 | 97.80 149 | 99.67 321 | 95.69 341 | 99.58 256 | 99.20 291 |
|
| DVP-MVS++ | | | 98.90 101 | 98.70 131 | 99.51 49 | 98.43 385 | 99.15 53 | 99.43 15 | 99.32 213 | 98.17 199 | 99.26 149 | 99.02 196 | 98.18 110 | 99.88 115 | 97.07 236 | 99.45 294 | 99.49 169 |
|
| MSC_two_6792asdad | | | | | 99.32 92 | 98.43 385 | 98.37 122 | | 98.86 328 | | | | | 99.89 97 | 97.14 230 | 99.60 247 | 99.71 63 |
|
| No_MVS | | | | | 99.32 92 | 98.43 385 | 98.37 122 | | 98.86 328 | | | | | 99.89 97 | 97.14 230 | 99.60 247 | 99.71 63 |
|
| Fast-Effi-MVS+-dtu | | | 98.27 219 | 98.09 232 | 98.81 182 | 98.43 385 | 98.11 144 | 97.61 274 | 99.50 127 | 98.64 151 | 97.39 374 | 97.52 398 | 98.12 118 | 99.95 26 | 96.90 254 | 98.71 386 | 98.38 407 |
|
| OpenMVS_ROB |  | 95.38 14 | 95.84 374 | 95.18 387 | 97.81 318 | 98.41 389 | 97.15 239 | 97.37 308 | 98.62 359 | 83.86 471 | 98.65 260 | 98.37 339 | 94.29 325 | 99.68 317 | 88.41 455 | 98.62 396 | 96.60 462 |
|
| DeepPCF-MVS | | 96.93 5 | 98.32 212 | 98.01 242 | 99.23 109 | 98.39 390 | 98.97 74 | 95.03 436 | 99.18 266 | 96.88 320 | 99.33 131 | 98.78 268 | 98.16 114 | 99.28 439 | 96.74 268 | 99.62 240 | 99.44 199 |
|
| Patchmatch-test | | | 96.55 349 | 96.34 351 | 97.17 373 | 98.35 391 | 93.06 400 | 98.40 151 | 97.79 389 | 97.33 282 | 98.41 293 | 98.67 295 | 83.68 431 | 99.69 308 | 95.16 354 | 99.31 318 | 98.77 368 |
|
| AdaColmap |  | | 97.14 323 | 96.71 334 | 98.46 259 | 98.34 392 | 97.80 188 | 96.95 339 | 98.93 311 | 95.58 375 | 96.92 391 | 97.66 389 | 95.87 280 | 99.53 389 | 90.97 443 | 99.14 347 | 98.04 423 |
|
| OpenMVS |  | 96.65 7 | 97.09 325 | 96.68 336 | 98.32 276 | 98.32 393 | 97.16 238 | 98.86 92 | 99.37 189 | 89.48 459 | 96.29 421 | 99.15 164 | 96.56 243 | 99.90 81 | 92.90 411 | 99.20 338 | 97.89 431 |
|
| MG-MVS | | | 96.77 342 | 96.61 341 | 97.26 369 | 98.31 394 | 93.06 400 | 95.93 403 | 98.12 383 | 96.45 343 | 97.92 331 | 98.73 279 | 93.77 337 | 99.39 422 | 91.19 441 | 99.04 358 | 99.33 252 |
|
| test_yl | | | 96.69 343 | 96.29 353 | 97.90 311 | 98.28 395 | 95.24 330 | 97.29 316 | 97.36 402 | 98.21 192 | 98.17 308 | 97.86 378 | 86.27 407 | 99.55 381 | 94.87 360 | 98.32 403 | 98.89 347 |
|
| DCV-MVSNet | | | 96.69 343 | 96.29 353 | 97.90 311 | 98.28 395 | 95.24 330 | 97.29 316 | 97.36 402 | 98.21 192 | 98.17 308 | 97.86 378 | 86.27 407 | 99.55 381 | 94.87 360 | 98.32 403 | 98.89 347 |
|
| CHOSEN 280x420 | | | 95.51 384 | 95.47 373 | 95.65 425 | 98.25 397 | 88.27 456 | 93.25 467 | 98.88 321 | 93.53 421 | 94.65 450 | 97.15 413 | 86.17 409 | 99.93 54 | 97.41 212 | 99.93 56 | 98.73 373 |
|
| SCA | | | 96.41 356 | 96.66 339 | 95.67 423 | 98.24 398 | 88.35 455 | 95.85 409 | 96.88 420 | 96.11 355 | 97.67 350 | 98.67 295 | 93.10 345 | 99.85 156 | 94.16 380 | 99.22 334 | 98.81 360 |
|
| DeepMVS_CX |  | | | | 93.44 453 | 98.24 398 | 94.21 363 | | 94.34 453 | 64.28 479 | 91.34 473 | 94.87 460 | 89.45 390 | 92.77 480 | 77.54 476 | 93.14 473 | 93.35 475 |
|
| MS-PatchMatch | | | 97.68 279 | 97.75 265 | 97.45 360 | 98.23 400 | 93.78 387 | 97.29 316 | 98.84 332 | 96.10 356 | 98.64 261 | 98.65 300 | 96.04 266 | 99.36 425 | 96.84 260 | 99.14 347 | 99.20 291 |
|
| BH-w/o | | | 95.13 390 | 94.89 394 | 95.86 418 | 98.20 401 | 91.31 431 | 95.65 416 | 97.37 401 | 93.64 419 | 96.52 414 | 95.70 441 | 93.04 348 | 99.02 451 | 88.10 457 | 95.82 463 | 97.24 454 |
|
| mvs_anonymous | | | 97.83 272 | 98.16 226 | 96.87 388 | 98.18 402 | 91.89 421 | 97.31 314 | 98.90 317 | 97.37 279 | 98.83 234 | 99.46 82 | 96.28 257 | 99.79 245 | 98.90 96 | 98.16 413 | 98.95 336 |
|
| miper_lstm_enhance | | | 97.18 320 | 97.16 305 | 97.25 370 | 98.16 403 | 92.85 405 | 95.15 434 | 99.31 218 | 97.25 291 | 98.74 251 | 98.78 268 | 90.07 382 | 99.78 256 | 97.19 225 | 99.80 141 | 99.11 311 |
|
| RRT-MVS | | | 97.88 261 | 97.98 245 | 97.61 343 | 98.15 404 | 93.77 388 | 98.97 77 | 99.64 72 | 99.16 94 | 98.69 254 | 99.42 91 | 91.60 367 | 99.89 97 | 97.63 193 | 98.52 400 | 99.16 306 |
|
| ET-MVSNet_ETH3D | | | 94.30 403 | 93.21 414 | 97.58 346 | 98.14 405 | 94.47 356 | 94.78 442 | 93.24 463 | 94.72 397 | 89.56 475 | 95.87 438 | 78.57 453 | 99.81 223 | 96.91 249 | 97.11 448 | 98.46 394 |
|
| ADS-MVSNet2 | | | 95.43 385 | 94.98 390 | 96.76 395 | 98.14 405 | 91.74 422 | 97.92 223 | 97.76 390 | 90.23 453 | 96.51 415 | 98.91 234 | 85.61 414 | 99.85 156 | 92.88 412 | 96.90 449 | 98.69 378 |
|
| ADS-MVSNet | | | 95.24 388 | 94.93 393 | 96.18 412 | 98.14 405 | 90.10 448 | 97.92 223 | 97.32 405 | 90.23 453 | 96.51 415 | 98.91 234 | 85.61 414 | 99.74 281 | 92.88 412 | 96.90 449 | 98.69 378 |
|
| c3_l | | | 97.36 304 | 97.37 293 | 97.31 365 | 98.09 408 | 93.25 398 | 95.01 437 | 99.16 273 | 97.05 308 | 98.77 246 | 98.72 281 | 92.88 350 | 99.64 345 | 96.93 248 | 99.76 173 | 99.05 316 |
|
| FMVSNet3 | | | 97.50 290 | 97.24 301 | 98.29 280 | 98.08 409 | 95.83 304 | 97.86 232 | 98.91 316 | 97.89 227 | 98.95 207 | 98.95 227 | 87.06 402 | 99.81 223 | 97.77 181 | 99.69 208 | 99.23 281 |
|
| PAPM | | | 91.88 440 | 90.34 443 | 96.51 399 | 98.06 410 | 92.56 410 | 92.44 471 | 97.17 409 | 86.35 467 | 90.38 474 | 96.01 433 | 86.61 405 | 99.21 444 | 70.65 480 | 95.43 465 | 97.75 440 |
|
| Effi-MVS+-dtu | | | 98.26 221 | 97.90 257 | 99.35 81 | 98.02 411 | 99.49 6 | 98.02 202 | 99.16 273 | 98.29 185 | 97.64 351 | 97.99 370 | 96.44 249 | 99.95 26 | 96.66 279 | 98.93 374 | 98.60 386 |
|
| eth_miper_zixun_eth | | | 97.23 316 | 97.25 300 | 97.17 373 | 98.00 412 | 92.77 407 | 94.71 443 | 99.18 266 | 97.27 289 | 98.56 277 | 98.74 278 | 91.89 365 | 99.69 308 | 97.06 238 | 99.81 130 | 99.05 316 |
|
| HY-MVS | | 95.94 13 | 95.90 371 | 95.35 381 | 97.55 351 | 97.95 413 | 94.79 344 | 98.81 97 | 96.94 418 | 92.28 438 | 95.17 443 | 98.57 314 | 89.90 384 | 99.75 276 | 91.20 440 | 97.33 444 | 98.10 420 |
|
| UGNet | | | 98.53 180 | 98.45 177 | 98.79 188 | 97.94 414 | 96.96 251 | 99.08 62 | 98.54 362 | 99.10 106 | 96.82 401 | 99.47 80 | 96.55 244 | 99.84 174 | 98.56 124 | 99.94 50 | 99.55 137 |
| 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 |
| MAR-MVS | | | 96.47 354 | 95.70 364 | 98.79 188 | 97.92 415 | 99.12 63 | 98.28 160 | 98.60 360 | 92.16 439 | 95.54 438 | 96.17 431 | 94.77 314 | 99.52 393 | 89.62 452 | 98.23 407 | 97.72 442 |
| 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 |
| MVSTER | | | 96.86 338 | 96.55 345 | 97.79 319 | 97.91 416 | 94.21 363 | 97.56 280 | 98.87 323 | 97.49 264 | 99.06 177 | 99.05 191 | 80.72 441 | 99.80 232 | 98.44 130 | 99.82 124 | 99.37 232 |
|
| API-MVS | | | 97.04 329 | 96.91 321 | 97.42 362 | 97.88 417 | 98.23 135 | 98.18 171 | 98.50 365 | 97.57 253 | 97.39 374 | 96.75 419 | 96.77 230 | 99.15 448 | 90.16 450 | 99.02 362 | 94.88 473 |
|
| myMVS_eth3d28 | | | 92.92 427 | 92.31 423 | 94.77 437 | 97.84 418 | 87.59 460 | 96.19 387 | 96.11 433 | 97.08 307 | 94.27 453 | 93.49 469 | 66.07 475 | 98.78 461 | 91.78 428 | 97.93 426 | 97.92 430 |
|
| miper_ehance_all_eth | | | 97.06 327 | 97.03 312 | 97.16 375 | 97.83 419 | 93.06 400 | 94.66 446 | 99.09 285 | 95.99 362 | 98.69 254 | 98.45 331 | 92.73 355 | 99.61 358 | 96.79 262 | 99.03 359 | 98.82 355 |
|
| cl____ | | | 97.02 330 | 96.83 326 | 97.58 346 | 97.82 420 | 94.04 370 | 94.66 446 | 99.16 273 | 97.04 309 | 98.63 262 | 98.71 282 | 88.68 395 | 99.69 308 | 97.00 241 | 99.81 130 | 99.00 328 |
|
| DIV-MVS_self_test | | | 97.02 330 | 96.84 325 | 97.58 346 | 97.82 420 | 94.03 371 | 94.66 446 | 99.16 273 | 97.04 309 | 98.63 262 | 98.71 282 | 88.69 393 | 99.69 308 | 97.00 241 | 99.81 130 | 99.01 324 |
|
| CANet | | | 97.87 263 | 97.76 264 | 98.19 293 | 97.75 422 | 95.51 315 | 96.76 351 | 99.05 292 | 97.74 237 | 96.93 390 | 98.21 353 | 95.59 288 | 99.89 97 | 97.86 176 | 99.93 56 | 99.19 296 |
|
| UBG | | | 93.25 421 | 92.32 422 | 96.04 417 | 97.72 423 | 90.16 447 | 95.92 405 | 95.91 438 | 96.03 360 | 93.95 461 | 93.04 472 | 69.60 465 | 99.52 393 | 90.72 448 | 97.98 424 | 98.45 397 |
|
| mvsany_test1 | | | 97.60 284 | 97.54 282 | 97.77 321 | 97.72 423 | 95.35 326 | 95.36 428 | 97.13 411 | 94.13 412 | 99.71 50 | 99.33 113 | 97.93 133 | 99.30 435 | 97.60 197 | 98.94 373 | 98.67 382 |
|
| PVSNet_0 | | 89.98 21 | 91.15 441 | 90.30 444 | 93.70 450 | 97.72 423 | 84.34 474 | 90.24 474 | 97.42 400 | 90.20 456 | 93.79 462 | 93.09 471 | 90.90 377 | 98.89 459 | 86.57 463 | 72.76 480 | 97.87 433 |
|
| CR-MVSNet | | | 96.28 359 | 95.95 358 | 97.28 367 | 97.71 426 | 94.22 361 | 98.11 183 | 98.92 314 | 92.31 437 | 96.91 393 | 99.37 101 | 85.44 417 | 99.81 223 | 97.39 213 | 97.36 442 | 97.81 436 |
|
| RPMNet | | | 97.02 330 | 96.93 317 | 97.30 366 | 97.71 426 | 94.22 361 | 98.11 183 | 99.30 226 | 99.37 62 | 96.91 393 | 99.34 110 | 86.72 404 | 99.87 134 | 97.53 202 | 97.36 442 | 97.81 436 |
|
| ETVMVS | | | 92.60 430 | 91.08 439 | 97.18 371 | 97.70 428 | 93.65 393 | 96.54 363 | 95.70 441 | 96.51 336 | 94.68 449 | 92.39 475 | 61.80 481 | 99.50 399 | 86.97 460 | 97.41 438 | 98.40 405 |
|
| pmmvs3 | | | 95.03 392 | 94.40 399 | 96.93 384 | 97.70 428 | 92.53 411 | 95.08 435 | 97.71 392 | 88.57 463 | 97.71 347 | 98.08 364 | 79.39 448 | 99.82 206 | 96.19 316 | 99.11 353 | 98.43 402 |
|
| baseline2 | | | 93.73 413 | 92.83 419 | 96.42 402 | 97.70 428 | 91.28 433 | 96.84 347 | 89.77 474 | 93.96 417 | 92.44 469 | 95.93 436 | 79.14 449 | 99.77 262 | 92.94 410 | 96.76 453 | 98.21 414 |
|
| WBMVS | | | 95.18 389 | 94.78 395 | 96.37 403 | 97.68 431 | 89.74 450 | 95.80 411 | 98.73 351 | 97.54 259 | 98.30 299 | 98.44 332 | 70.06 463 | 99.82 206 | 96.62 282 | 99.87 99 | 99.54 143 |
|
| tpm | | | 94.67 397 | 94.34 401 | 95.66 424 | 97.68 431 | 88.42 454 | 97.88 228 | 94.90 448 | 94.46 403 | 96.03 428 | 98.56 315 | 78.66 451 | 99.79 245 | 95.88 329 | 95.01 467 | 98.78 367 |
|
| CANet_DTU | | | 97.26 312 | 97.06 311 | 97.84 315 | 97.57 433 | 94.65 352 | 96.19 387 | 98.79 340 | 97.23 297 | 95.14 444 | 98.24 350 | 93.22 342 | 99.84 174 | 97.34 215 | 99.84 113 | 99.04 320 |
|
| testing11 | | | 93.08 424 | 92.02 429 | 96.26 408 | 97.56 434 | 90.83 442 | 96.32 379 | 95.70 441 | 96.47 340 | 92.66 468 | 93.73 465 | 64.36 479 | 99.59 365 | 93.77 395 | 97.57 431 | 98.37 409 |
|
| tpm2 | | | 93.09 423 | 92.58 421 | 94.62 439 | 97.56 434 | 86.53 463 | 97.66 263 | 95.79 440 | 86.15 468 | 94.07 458 | 98.23 352 | 75.95 456 | 99.53 389 | 90.91 445 | 96.86 452 | 97.81 436 |
|
| testing91 | | | 93.32 419 | 92.27 424 | 96.47 401 | 97.54 436 | 91.25 434 | 96.17 391 | 96.76 422 | 97.18 301 | 93.65 464 | 93.50 468 | 65.11 478 | 99.63 348 | 93.04 409 | 97.45 435 | 98.53 391 |
|
| TR-MVS | | | 95.55 382 | 95.12 388 | 96.86 391 | 97.54 436 | 93.94 379 | 96.49 368 | 96.53 427 | 94.36 408 | 97.03 388 | 96.61 422 | 94.26 326 | 99.16 447 | 86.91 462 | 96.31 457 | 97.47 450 |
|
| testing99 | | | 93.04 425 | 91.98 432 | 96.23 410 | 97.53 438 | 90.70 444 | 96.35 377 | 95.94 437 | 96.87 321 | 93.41 465 | 93.43 470 | 63.84 480 | 99.59 365 | 93.24 407 | 97.19 445 | 98.40 405 |
|
| 1314 | | | 95.74 376 | 95.60 368 | 96.17 413 | 97.53 438 | 92.75 408 | 98.07 192 | 98.31 374 | 91.22 448 | 94.25 454 | 96.68 420 | 95.53 289 | 99.03 450 | 91.64 432 | 97.18 446 | 96.74 460 |
|
| CostFormer | | | 93.97 409 | 93.78 407 | 94.51 440 | 97.53 438 | 85.83 466 | 97.98 214 | 95.96 436 | 89.29 461 | 94.99 446 | 98.63 305 | 78.63 452 | 99.62 351 | 94.54 368 | 96.50 454 | 98.09 421 |
|
| FMVSNet5 | | | 96.01 367 | 95.20 386 | 98.41 265 | 97.53 438 | 96.10 290 | 98.74 98 | 99.50 127 | 97.22 300 | 98.03 326 | 99.04 193 | 69.80 464 | 99.88 115 | 97.27 220 | 99.71 198 | 99.25 276 |
|
| PMMVS | | | 96.51 350 | 95.98 357 | 98.09 298 | 97.53 438 | 95.84 303 | 94.92 439 | 98.84 332 | 91.58 443 | 96.05 427 | 95.58 442 | 95.68 285 | 99.66 334 | 95.59 345 | 98.09 417 | 98.76 370 |
|
| reproduce_monomvs | | | 95.00 394 | 95.25 383 | 94.22 443 | 97.51 443 | 83.34 475 | 97.86 232 | 98.44 367 | 98.51 168 | 99.29 141 | 99.30 119 | 67.68 469 | 99.56 377 | 98.89 98 | 99.81 130 | 99.77 50 |
|
| PAPR | | | 95.29 386 | 94.47 397 | 97.75 325 | 97.50 444 | 95.14 335 | 94.89 440 | 98.71 353 | 91.39 447 | 95.35 442 | 95.48 447 | 94.57 317 | 99.14 449 | 84.95 465 | 97.37 440 | 98.97 333 |
|
| testing222 | | | 91.96 438 | 90.37 442 | 96.72 396 | 97.47 445 | 92.59 409 | 96.11 393 | 94.76 449 | 96.83 323 | 92.90 467 | 92.87 473 | 57.92 482 | 99.55 381 | 86.93 461 | 97.52 432 | 98.00 427 |
|
| PatchT | | | 96.65 346 | 96.35 350 | 97.54 352 | 97.40 446 | 95.32 328 | 97.98 214 | 96.64 424 | 99.33 67 | 96.89 397 | 99.42 91 | 84.32 425 | 99.81 223 | 97.69 192 | 97.49 433 | 97.48 449 |
|
| tpm cat1 | | | 93.29 420 | 93.13 417 | 93.75 449 | 97.39 447 | 84.74 469 | 97.39 302 | 97.65 396 | 83.39 473 | 94.16 455 | 98.41 334 | 82.86 436 | 99.39 422 | 91.56 434 | 95.35 466 | 97.14 455 |
|
| PatchmatchNet |  | | 95.58 381 | 95.67 366 | 95.30 433 | 97.34 448 | 87.32 461 | 97.65 265 | 96.65 423 | 95.30 384 | 97.07 384 | 98.69 291 | 84.77 420 | 99.75 276 | 94.97 358 | 98.64 393 | 98.83 354 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| Patchmtry | | | 97.35 305 | 96.97 315 | 98.50 256 | 97.31 449 | 96.47 281 | 98.18 171 | 98.92 314 | 98.95 129 | 98.78 243 | 99.37 101 | 85.44 417 | 99.85 156 | 95.96 327 | 99.83 120 | 99.17 303 |
|
| LS3D | | | 98.63 159 | 98.38 189 | 99.36 75 | 97.25 450 | 99.38 13 | 99.12 61 | 99.32 213 | 99.21 82 | 98.44 290 | 98.88 244 | 97.31 192 | 99.80 232 | 96.58 285 | 99.34 313 | 98.92 342 |
|
| IB-MVS | | 91.63 19 | 92.24 436 | 90.90 440 | 96.27 407 | 97.22 451 | 91.24 435 | 94.36 455 | 93.33 462 | 92.37 436 | 92.24 471 | 94.58 462 | 66.20 474 | 99.89 97 | 93.16 408 | 94.63 469 | 97.66 444 |
| 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 |
| UWE-MVS | | | 92.38 433 | 91.76 436 | 94.21 444 | 97.16 452 | 84.65 470 | 95.42 426 | 88.45 476 | 95.96 363 | 96.17 422 | 95.84 440 | 66.36 472 | 99.71 297 | 91.87 427 | 98.64 393 | 98.28 412 |
|
| tpmrst | | | 95.07 391 | 95.46 374 | 93.91 447 | 97.11 453 | 84.36 473 | 97.62 270 | 96.96 416 | 94.98 391 | 96.35 420 | 98.80 264 | 85.46 416 | 99.59 365 | 95.60 344 | 96.23 458 | 97.79 439 |
|
| Syy-MVS | | | 96.04 366 | 95.56 372 | 97.49 357 | 97.10 454 | 94.48 355 | 96.18 389 | 96.58 425 | 95.65 372 | 94.77 447 | 92.29 476 | 91.27 373 | 99.36 425 | 98.17 148 | 98.05 421 | 98.63 384 |
|
| myMVS_eth3d | | | 91.92 439 | 90.45 441 | 96.30 405 | 97.10 454 | 90.90 440 | 96.18 389 | 96.58 425 | 95.65 372 | 94.77 447 | 92.29 476 | 53.88 483 | 99.36 425 | 89.59 453 | 98.05 421 | 98.63 384 |
|
| MDTV_nov1_ep13 | | | | 95.22 385 | | 97.06 456 | 83.20 476 | 97.74 252 | 96.16 431 | 94.37 407 | 96.99 389 | 98.83 257 | 83.95 429 | 99.53 389 | 93.90 389 | 97.95 425 | |
|
| MVS | | | 93.19 422 | 92.09 427 | 96.50 400 | 96.91 457 | 94.03 371 | 98.07 192 | 98.06 385 | 68.01 478 | 94.56 452 | 96.48 425 | 95.96 276 | 99.30 435 | 83.84 467 | 96.89 451 | 96.17 465 |
|
| E-PMN | | | 94.17 405 | 94.37 400 | 93.58 451 | 96.86 458 | 85.71 467 | 90.11 476 | 97.07 412 | 98.17 199 | 97.82 342 | 97.19 411 | 84.62 422 | 98.94 455 | 89.77 451 | 97.68 430 | 96.09 469 |
|
| JIA-IIPM | | | 95.52 383 | 95.03 389 | 97.00 380 | 96.85 459 | 94.03 371 | 96.93 342 | 95.82 439 | 99.20 84 | 94.63 451 | 99.71 23 | 83.09 434 | 99.60 361 | 94.42 374 | 94.64 468 | 97.36 453 |
|
| EMVS | | | 93.83 411 | 94.02 403 | 93.23 456 | 96.83 460 | 84.96 468 | 89.77 477 | 96.32 429 | 97.92 224 | 97.43 371 | 96.36 430 | 86.17 409 | 98.93 456 | 87.68 458 | 97.73 429 | 95.81 470 |
|
| cl22 | | | 95.79 375 | 95.39 379 | 96.98 382 | 96.77 461 | 92.79 406 | 94.40 454 | 98.53 363 | 94.59 400 | 97.89 334 | 98.17 356 | 82.82 437 | 99.24 441 | 96.37 305 | 99.03 359 | 98.92 342 |
|
| WB-MVSnew | | | 95.73 377 | 95.57 371 | 96.23 410 | 96.70 462 | 90.70 444 | 96.07 395 | 93.86 459 | 95.60 374 | 97.04 386 | 95.45 451 | 96.00 269 | 99.55 381 | 91.04 442 | 98.31 405 | 98.43 402 |
|
| dp | | | 93.47 417 | 93.59 410 | 93.13 457 | 96.64 463 | 81.62 482 | 97.66 263 | 96.42 428 | 92.80 432 | 96.11 424 | 98.64 303 | 78.55 454 | 99.59 365 | 93.31 405 | 92.18 476 | 98.16 417 |
|
| MonoMVSNet | | | 96.25 361 | 96.53 347 | 95.39 431 | 96.57 464 | 91.01 438 | 98.82 96 | 97.68 395 | 98.57 163 | 98.03 326 | 99.37 101 | 90.92 376 | 97.78 472 | 94.99 356 | 93.88 472 | 97.38 452 |
|
| test-LLR | | | 93.90 410 | 93.85 405 | 94.04 445 | 96.53 465 | 84.62 471 | 94.05 460 | 92.39 465 | 96.17 352 | 94.12 456 | 95.07 452 | 82.30 438 | 99.67 321 | 95.87 332 | 98.18 410 | 97.82 434 |
|
| test-mter | | | 92.33 435 | 91.76 436 | 94.04 445 | 96.53 465 | 84.62 471 | 94.05 460 | 92.39 465 | 94.00 416 | 94.12 456 | 95.07 452 | 65.63 477 | 99.67 321 | 95.87 332 | 98.18 410 | 97.82 434 |
|
| TESTMET0.1,1 | | | 92.19 437 | 91.77 435 | 93.46 452 | 96.48 467 | 82.80 478 | 94.05 460 | 91.52 470 | 94.45 405 | 94.00 459 | 94.88 458 | 66.65 471 | 99.56 377 | 95.78 337 | 98.11 416 | 98.02 424 |
|
| MGCNet | | | 97.44 298 | 97.01 314 | 98.72 208 | 96.42 468 | 96.74 265 | 97.20 326 | 91.97 468 | 98.46 171 | 98.30 299 | 98.79 266 | 92.74 354 | 99.91 74 | 99.30 63 | 99.94 50 | 99.52 155 |
|
| miper_enhance_ethall | | | 96.01 367 | 95.74 362 | 96.81 392 | 96.41 469 | 92.27 418 | 93.69 465 | 98.89 320 | 91.14 450 | 98.30 299 | 97.35 409 | 90.58 379 | 99.58 372 | 96.31 309 | 99.03 359 | 98.60 386 |
|
| tpmvs | | | 95.02 393 | 95.25 383 | 94.33 441 | 96.39 470 | 85.87 464 | 98.08 188 | 96.83 421 | 95.46 379 | 95.51 440 | 98.69 291 | 85.91 412 | 99.53 389 | 94.16 380 | 96.23 458 | 97.58 447 |
|
| CMPMVS |  | 75.91 23 | 96.29 358 | 95.44 376 | 98.84 177 | 96.25 471 | 98.69 99 | 97.02 335 | 99.12 280 | 88.90 462 | 97.83 340 | 98.86 247 | 89.51 388 | 98.90 458 | 91.92 425 | 99.51 279 | 98.92 342 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| test0.0.03 1 | | | 94.51 398 | 93.69 408 | 96.99 381 | 96.05 472 | 93.61 395 | 94.97 438 | 93.49 460 | 96.17 352 | 97.57 358 | 94.88 458 | 82.30 438 | 99.01 453 | 93.60 398 | 94.17 471 | 98.37 409 |
|
| EPMVS | | | 93.72 414 | 93.27 413 | 95.09 436 | 96.04 473 | 87.76 458 | 98.13 178 | 85.01 481 | 94.69 398 | 96.92 391 | 98.64 303 | 78.47 455 | 99.31 433 | 95.04 355 | 96.46 455 | 98.20 415 |
|
| cascas | | | 94.79 396 | 94.33 402 | 96.15 416 | 96.02 474 | 92.36 416 | 92.34 472 | 99.26 246 | 85.34 470 | 95.08 445 | 94.96 457 | 92.96 349 | 98.53 465 | 94.41 377 | 98.59 397 | 97.56 448 |
|
| MVStest1 | | | 95.86 372 | 95.60 368 | 96.63 397 | 95.87 475 | 91.70 423 | 97.93 220 | 98.94 308 | 98.03 214 | 99.56 74 | 99.66 33 | 71.83 461 | 98.26 468 | 99.35 59 | 99.24 330 | 99.91 13 |
|
| gg-mvs-nofinetune | | | 92.37 434 | 91.20 438 | 95.85 419 | 95.80 476 | 92.38 415 | 99.31 31 | 81.84 483 | 99.75 11 | 91.83 472 | 99.74 19 | 68.29 466 | 99.02 451 | 87.15 459 | 97.12 447 | 96.16 466 |
|
| gm-plane-assit | | | | | | 94.83 477 | 81.97 480 | | | 88.07 465 | | 94.99 455 | | 99.60 361 | 91.76 429 | | |
|
| GG-mvs-BLEND | | | | | 94.76 438 | 94.54 478 | 92.13 420 | 99.31 31 | 80.47 484 | | 88.73 478 | 91.01 478 | 67.59 470 | 98.16 471 | 82.30 472 | 94.53 470 | 93.98 474 |
|
| UWE-MVS-28 | | | 90.22 442 | 89.28 445 | 93.02 458 | 94.50 479 | 82.87 477 | 96.52 366 | 87.51 477 | 95.21 387 | 92.36 470 | 96.04 432 | 71.57 462 | 98.25 469 | 72.04 479 | 97.77 428 | 97.94 429 |
|
| EPNet_dtu | | | 94.93 395 | 94.78 395 | 95.38 432 | 93.58 480 | 87.68 459 | 96.78 349 | 95.69 443 | 97.35 281 | 89.14 477 | 98.09 363 | 88.15 400 | 99.49 402 | 94.95 359 | 99.30 321 | 98.98 330 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| dongtai | | | 76.24 446 | 75.95 449 | 77.12 463 | 92.39 481 | 67.91 487 | 90.16 475 | 59.44 488 | 82.04 474 | 89.42 476 | 94.67 461 | 49.68 485 | 81.74 481 | 48.06 481 | 77.66 479 | 81.72 477 |
|
| KD-MVS_2432*1600 | | | 92.87 428 | 91.99 430 | 95.51 428 | 91.37 482 | 89.27 451 | 94.07 458 | 98.14 381 | 95.42 380 | 97.25 379 | 96.44 427 | 67.86 467 | 99.24 441 | 91.28 438 | 96.08 461 | 98.02 424 |
|
| miper_refine_blended | | | 92.87 428 | 91.99 430 | 95.51 428 | 91.37 482 | 89.27 451 | 94.07 458 | 98.14 381 | 95.42 380 | 97.25 379 | 96.44 427 | 67.86 467 | 99.24 441 | 91.28 438 | 96.08 461 | 98.02 424 |
|
| EPNet | | | 96.14 364 | 95.44 376 | 98.25 284 | 90.76 484 | 95.50 318 | 97.92 223 | 94.65 450 | 98.97 125 | 92.98 466 | 98.85 250 | 89.12 391 | 99.87 134 | 95.99 325 | 99.68 213 | 99.39 221 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| kuosan | | | 69.30 447 | 68.95 450 | 70.34 464 | 87.68 485 | 65.00 488 | 91.11 473 | 59.90 487 | 69.02 477 | 74.46 482 | 88.89 479 | 48.58 486 | 68.03 483 | 28.61 482 | 72.33 481 | 77.99 478 |
|
| test_method | | | 79.78 444 | 79.50 447 | 80.62 461 | 80.21 486 | 45.76 489 | 70.82 478 | 98.41 371 | 31.08 481 | 80.89 481 | 97.71 386 | 84.85 419 | 97.37 474 | 91.51 435 | 80.03 478 | 98.75 371 |
|
| tmp_tt | | | 78.77 445 | 78.73 448 | 78.90 462 | 58.45 487 | 74.76 486 | 94.20 457 | 78.26 485 | 39.16 480 | 86.71 479 | 92.82 474 | 80.50 442 | 75.19 482 | 86.16 464 | 92.29 475 | 86.74 476 |
|
| testmvs | | | 17.12 449 | 20.53 452 | 6.87 466 | 12.05 488 | 4.20 491 | 93.62 466 | 6.73 489 | 4.62 484 | 10.41 484 | 24.33 481 | 8.28 488 | 3.56 485 | 9.69 484 | 15.07 482 | 12.86 481 |
|
| test123 | | | 17.04 450 | 20.11 453 | 7.82 465 | 10.25 489 | 4.91 490 | 94.80 441 | 4.47 490 | 4.93 483 | 10.00 485 | 24.28 482 | 9.69 487 | 3.64 484 | 10.14 483 | 12.43 483 | 14.92 480 |
|
| mmdepth | | | 0.00 453 | 0.00 456 | 0.00 467 | 0.00 490 | 0.00 492 | 0.00 479 | 0.00 491 | 0.00 485 | 0.00 486 | 0.00 485 | 0.00 489 | 0.00 486 | 0.00 485 | 0.00 484 | 0.00 482 |
|
| monomultidepth | | | 0.00 453 | 0.00 456 | 0.00 467 | 0.00 490 | 0.00 492 | 0.00 479 | 0.00 491 | 0.00 485 | 0.00 486 | 0.00 485 | 0.00 489 | 0.00 486 | 0.00 485 | 0.00 484 | 0.00 482 |
|
| test_blank | | | 0.00 453 | 0.00 456 | 0.00 467 | 0.00 490 | 0.00 492 | 0.00 479 | 0.00 491 | 0.00 485 | 0.00 486 | 0.00 485 | 0.00 489 | 0.00 486 | 0.00 485 | 0.00 484 | 0.00 482 |
|
| eth-test2 | | | | | | 0.00 490 | | | | | | | | | | | |
|
| eth-test | | | | | | 0.00 490 | | | | | | | | | | | |
|
| uanet_test | | | 0.00 453 | 0.00 456 | 0.00 467 | 0.00 490 | 0.00 492 | 0.00 479 | 0.00 491 | 0.00 485 | 0.00 486 | 0.00 485 | 0.00 489 | 0.00 486 | 0.00 485 | 0.00 484 | 0.00 482 |
|
| DCPMVS | | | 0.00 453 | 0.00 456 | 0.00 467 | 0.00 490 | 0.00 492 | 0.00 479 | 0.00 491 | 0.00 485 | 0.00 486 | 0.00 485 | 0.00 489 | 0.00 486 | 0.00 485 | 0.00 484 | 0.00 482 |
|
| cdsmvs_eth3d_5k | | | 24.66 448 | 32.88 451 | 0.00 467 | 0.00 490 | 0.00 492 | 0.00 479 | 99.10 283 | 0.00 485 | 0.00 486 | 97.58 394 | 99.21 18 | 0.00 486 | 0.00 485 | 0.00 484 | 0.00 482 |
|
| pcd_1.5k_mvsjas | | | 8.17 451 | 10.90 454 | 0.00 467 | 0.00 490 | 0.00 492 | 0.00 479 | 0.00 491 | 0.00 485 | 0.00 486 | 0.00 485 | 98.07 120 | 0.00 486 | 0.00 485 | 0.00 484 | 0.00 482 |
|
| sosnet-low-res | | | 0.00 453 | 0.00 456 | 0.00 467 | 0.00 490 | 0.00 492 | 0.00 479 | 0.00 491 | 0.00 485 | 0.00 486 | 0.00 485 | 0.00 489 | 0.00 486 | 0.00 485 | 0.00 484 | 0.00 482 |
|
| sosnet | | | 0.00 453 | 0.00 456 | 0.00 467 | 0.00 490 | 0.00 492 | 0.00 479 | 0.00 491 | 0.00 485 | 0.00 486 | 0.00 485 | 0.00 489 | 0.00 486 | 0.00 485 | 0.00 484 | 0.00 482 |
|
| uncertanet | | | 0.00 453 | 0.00 456 | 0.00 467 | 0.00 490 | 0.00 492 | 0.00 479 | 0.00 491 | 0.00 485 | 0.00 486 | 0.00 485 | 0.00 489 | 0.00 486 | 0.00 485 | 0.00 484 | 0.00 482 |
|
| Regformer | | | 0.00 453 | 0.00 456 | 0.00 467 | 0.00 490 | 0.00 492 | 0.00 479 | 0.00 491 | 0.00 485 | 0.00 486 | 0.00 485 | 0.00 489 | 0.00 486 | 0.00 485 | 0.00 484 | 0.00 482 |
|
| ab-mvs-re | | | 8.12 452 | 10.83 455 | 0.00 467 | 0.00 490 | 0.00 492 | 0.00 479 | 0.00 491 | 0.00 485 | 0.00 486 | 97.48 400 | 0.00 489 | 0.00 486 | 0.00 485 | 0.00 484 | 0.00 482 |
|
| uanet | | | 0.00 453 | 0.00 456 | 0.00 467 | 0.00 490 | 0.00 492 | 0.00 479 | 0.00 491 | 0.00 485 | 0.00 486 | 0.00 485 | 0.00 489 | 0.00 486 | 0.00 485 | 0.00 484 | 0.00 482 |
|
| TestfortrainingZip | | | | | | | | 98.68 108 | | | | | | | | | |
|
| WAC-MVS | | | | | | | 90.90 440 | | | | | | | | 91.37 437 | | |
|
| PC_three_1452 | | | | | | | | | | 93.27 424 | 99.40 116 | 98.54 316 | 98.22 105 | 97.00 475 | 95.17 353 | 99.45 294 | 99.49 169 |
|
| test_241102_TWO | | | | | | | | | 99.30 226 | 98.03 214 | 99.26 149 | 99.02 196 | 97.51 178 | 99.88 115 | 96.91 249 | 99.60 247 | 99.66 78 |
|
| test_0728_THIRD | | | | | | | | | | 98.17 199 | 99.08 175 | 99.02 196 | 97.89 139 | 99.88 115 | 97.07 236 | 99.71 198 | 99.70 68 |
|
| GSMVS | | | | | | | | | | | | | | | | | 98.81 360 |
|
| sam_mvs1 | | | | | | | | | | | | | 84.74 421 | | | | 98.81 360 |
|
| sam_mvs | | | | | | | | | | | | | 84.29 427 | | | | |
|
| MTGPA |  | | | | | | | | 99.20 258 | | | | | | | | |
|
| test_post1 | | | | | | | | 97.59 277 | | | | 20.48 484 | 83.07 435 | 99.66 334 | 94.16 380 | | |
|
| test_post | | | | | | | | | | | | 21.25 483 | 83.86 430 | 99.70 304 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 98.77 270 | 84.37 424 | 99.85 156 | | | |
|
| MTMP | | | | | | | | 97.93 220 | 91.91 469 | | | | | | | | |
|
| test9_res | | | | | | | | | | | | | | | 93.28 406 | 99.15 346 | 99.38 230 |
|
| agg_prior2 | | | | | | | | | | | | | | | 92.50 422 | 99.16 344 | 99.37 232 |
|
| test_prior4 | | | | | | | 97.97 164 | 95.86 407 | | | | | | | | | |
|
| test_prior2 | | | | | | | | 95.74 414 | | 96.48 339 | 96.11 424 | 97.63 392 | 95.92 279 | | 94.16 380 | 99.20 338 | |
|
| 旧先验2 | | | | | | | | 95.76 413 | | 88.56 464 | 97.52 362 | | | 99.66 334 | 94.48 370 | | |
|
| 新几何2 | | | | | | | | 95.93 403 | | | | | | | | | |
|
| 无先验 | | | | | | | | 95.74 414 | 98.74 350 | 89.38 460 | | | | 99.73 288 | 92.38 424 | | 99.22 286 |
|
| 原ACMM2 | | | | | | | | 95.53 420 | | | | | | | | | |
|
| testdata2 | | | | | | | | | | | | | | 99.79 245 | 92.80 416 | | |
|
| segment_acmp | | | | | | | | | | | | | 97.02 212 | | | | |
|
| testdata1 | | | | | | | | 95.44 425 | | 96.32 347 | | | | | | | |
|
| plane_prior5 | | | | | | | | | 99.27 241 | | | | | 99.70 304 | 94.42 374 | 99.51 279 | 99.45 195 |
|
| plane_prior4 | | | | | | | | | | | | 97.98 371 | | | | | |
|
| plane_prior3 | | | | | | | 97.78 189 | | | 97.41 274 | 97.79 343 | | | | | | |
|
| plane_prior2 | | | | | | | | 97.77 245 | | 98.20 196 | | | | | | | |
|
| plane_prior | | | | | | | 97.65 198 | 97.07 334 | | 96.72 329 | | | | | | 99.36 309 | |
|
| n2 | | | | | | | | | 0.00 491 | | | | | | | | |
|
| nn | | | | | | | | | 0.00 491 | | | | | | | | |
|
| door-mid | | | | | | | | | 99.57 96 | | | | | | | | |
|
| test11 | | | | | | | | | 98.87 323 | | | | | | | | |
|
| door | | | | | | | | | 99.41 178 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 96.79 261 | | | | | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 92.82 414 | | |
|
| HQP4-MVS | | | | | | | | | | | 95.56 434 | | | 99.54 387 | | | 99.32 255 |
|
| HQP3-MVS | | | | | | | | | 99.04 295 | | | | | | | 99.26 328 | |
|
| HQP2-MVS | | | | | | | | | | | | | 93.84 333 | | | | |
|
| MDTV_nov1_ep13_2view | | | | | | | 74.92 485 | 97.69 258 | | 90.06 458 | 97.75 346 | | 85.78 413 | | 93.52 400 | | 98.69 378 |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 99.77 158 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 99.68 213 | |
|
| Test By Simon | | | | | | | | | | | | | 96.52 245 | | | | |
|