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