| mvs5depth | | | 99.30 34 | 99.59 12 | 98.44 248 | 99.65 68 | 95.35 311 | 99.82 3 | 99.94 2 | 99.83 7 | 99.42 105 | 99.94 2 | 98.13 113 | 99.96 14 | 99.63 34 | 99.96 28 | 100.00 1 |
|
| test_fmvsmconf0.01_n | | | 99.57 10 | 99.63 10 | 99.36 70 | 99.87 12 | 98.13 138 | 98.08 182 | 99.95 1 | 99.45 49 | 99.98 2 | 99.75 16 | 99.80 1 | 99.97 7 | 99.82 11 | 99.99 5 | 99.99 2 |
|
| fmvsm_s_conf0.1_n_a | | | 99.17 52 | 99.30 44 | 98.80 178 | 99.75 34 | 96.59 258 | 97.97 212 | 99.86 16 | 98.22 185 | 99.88 21 | 99.71 22 | 98.59 62 | 99.84 172 | 99.73 26 | 99.98 12 | 99.98 3 |
|
| fmvsm_s_conf0.1_n_2 | | | 99.20 50 | 99.38 29 | 98.65 204 | 99.69 58 | 96.08 281 | 97.49 281 | 99.90 11 | 99.53 40 | 99.88 21 | 99.64 37 | 98.51 71 | 99.90 79 | 99.83 9 | 99.98 12 | 99.97 4 |
|
| mmtdpeth | | | 99.30 34 | 99.42 25 | 98.92 162 | 99.58 87 | 96.89 245 | 99.48 13 | 99.92 7 | 99.92 2 | 98.26 291 | 99.80 11 | 98.33 88 | 99.91 72 | 99.56 39 | 99.95 38 | 99.97 4 |
|
| fmvsm_s_conf0.1_n | | | 99.16 56 | 99.33 37 | 98.64 206 | 99.71 47 | 96.10 276 | 97.87 224 | 99.85 18 | 98.56 161 | 99.90 14 | 99.68 25 | 98.69 52 | 99.85 154 | 99.72 28 | 99.98 12 | 99.97 4 |
|
| test_fmvs3 | | | 99.12 67 | 99.41 26 | 98.25 269 | 99.76 30 | 95.07 323 | 99.05 67 | 99.94 2 | 97.78 227 | 99.82 33 | 99.84 3 | 98.56 68 | 99.71 288 | 99.96 1 | 99.96 28 | 99.97 4 |
|
| test_fmvsmconf0.1_n | | | 99.49 15 | 99.54 14 | 99.34 79 | 99.78 24 | 98.11 139 | 97.77 238 | 99.90 11 | 99.33 64 | 99.97 3 | 99.66 32 | 99.71 3 | 99.96 14 | 99.79 18 | 99.99 5 | 99.96 8 |
|
| test_f | | | 98.67 144 | 98.87 100 | 98.05 290 | 99.72 43 | 95.59 295 | 98.51 128 | 99.81 31 | 96.30 336 | 99.78 39 | 99.82 5 | 96.14 247 | 98.63 449 | 99.82 11 | 99.93 54 | 99.95 9 |
|
| test_fmvs2 | | | 98.70 133 | 98.97 89 | 97.89 298 | 99.54 112 | 94.05 353 | 98.55 119 | 99.92 7 | 96.78 314 | 99.72 46 | 99.78 13 | 96.60 229 | 99.67 312 | 99.91 2 | 99.90 83 | 99.94 10 |
|
| PS-MVSNAJss | | | 99.46 17 | 99.49 16 | 99.35 76 | 99.90 4 | 98.15 135 | 99.20 48 | 99.65 65 | 99.48 43 | 99.92 8 | 99.71 22 | 98.07 116 | 99.96 14 | 99.53 46 | 100.00 1 | 99.93 11 |
|
| test_vis3_rt | | | 99.14 60 | 99.17 58 | 99.07 131 | 99.78 24 | 98.38 115 | 98.92 82 | 99.94 2 | 97.80 224 | 99.91 12 | 99.67 30 | 97.15 192 | 98.91 442 | 99.76 22 | 99.56 251 | 99.92 12 |
|
| fmvsm_s_conf0.5_n_2 | | | 99.14 60 | 99.31 41 | 98.63 210 | 99.49 134 | 96.08 281 | 97.38 291 | 99.81 31 | 99.48 43 | 99.84 30 | 99.57 49 | 98.46 75 | 99.89 95 | 99.82 11 | 99.97 21 | 99.91 13 |
|
| MVStest1 | | | 95.86 358 | 95.60 354 | 96.63 382 | 95.87 460 | 91.70 408 | 97.93 213 | 98.94 293 | 98.03 205 | 99.56 72 | 99.66 32 | 71.83 447 | 98.26 453 | 99.35 57 | 99.24 315 | 99.91 13 |
|
| fmvsm_s_conf0.5_n_a | | | 99.10 69 | 99.20 56 | 98.78 184 | 99.55 107 | 96.59 258 | 97.79 234 | 99.82 30 | 98.21 187 | 99.81 36 | 99.53 63 | 98.46 75 | 99.84 172 | 99.70 31 | 99.97 21 | 99.90 15 |
|
| fmvsm_s_conf0.5_n_9 | | | 99.17 52 | 99.38 29 | 98.53 236 | 99.51 120 | 95.82 291 | 97.62 262 | 99.78 36 | 99.72 15 | 99.90 14 | 99.48 74 | 98.66 54 | 99.89 95 | 99.85 5 | 99.93 54 | 99.89 16 |
|
| fmvsm_s_conf0.5_n | | | 99.09 70 | 99.26 49 | 98.61 215 | 99.55 107 | 96.09 279 | 97.74 244 | 99.81 31 | 98.55 162 | 99.85 27 | 99.55 57 | 98.60 61 | 99.84 172 | 99.69 33 | 99.98 12 | 99.89 16 |
|
| test_fmvsmconf_n | | | 99.44 19 | 99.48 18 | 99.31 90 | 99.64 74 | 98.10 141 | 97.68 251 | 99.84 22 | 99.29 70 | 99.92 8 | 99.57 49 | 99.60 5 | 99.96 14 | 99.74 25 | 99.98 12 | 99.89 16 |
|
| test_djsdf | | | 99.52 13 | 99.51 15 | 99.53 38 | 99.86 14 | 98.74 88 | 99.39 20 | 99.56 95 | 99.11 95 | 99.70 50 | 99.73 20 | 99.00 27 | 99.97 7 | 99.26 64 | 99.98 12 | 99.89 16 |
|
| mvs_tets | | | 99.63 6 | 99.67 6 | 99.49 54 | 99.88 9 | 98.61 98 | 99.34 23 | 99.71 47 | 99.27 72 | 99.90 14 | 99.74 18 | 99.68 4 | 99.97 7 | 99.55 41 | 99.99 5 | 99.88 20 |
|
| fmvsm_s_conf0.5_n_8 | | | 99.13 64 | 99.26 49 | 98.74 195 | 99.51 120 | 96.44 268 | 97.65 257 | 99.65 65 | 99.66 24 | 99.78 39 | 99.48 74 | 97.92 129 | 99.93 52 | 99.72 28 | 99.95 38 | 99.87 21 |
|
| fmvsm_s_conf0.5_n_7 | | | 98.83 109 | 99.04 78 | 98.20 276 | 99.30 187 | 94.83 328 | 97.23 306 | 99.36 179 | 98.64 146 | 99.84 30 | 99.43 86 | 98.10 115 | 99.91 72 | 99.56 39 | 99.96 28 | 99.87 21 |
|
| fmvsm_l_conf0.5_n_3 | | | 99.45 18 | 99.48 18 | 99.34 79 | 99.59 85 | 98.21 132 | 97.82 229 | 99.84 22 | 99.41 56 | 99.92 8 | 99.41 91 | 99.51 8 | 99.95 26 | 99.84 8 | 99.97 21 | 99.87 21 |
|
| ttmdpeth | | | 97.91 242 | 98.02 228 | 97.58 331 | 98.69 331 | 94.10 352 | 98.13 172 | 98.90 302 | 97.95 211 | 97.32 362 | 99.58 47 | 95.95 263 | 98.75 447 | 96.41 288 | 99.22 319 | 99.87 21 |
|
| jajsoiax | | | 99.58 9 | 99.61 11 | 99.48 56 | 99.87 12 | 98.61 98 | 99.28 40 | 99.66 62 | 99.09 105 | 99.89 18 | 99.68 25 | 99.53 7 | 99.97 7 | 99.50 49 | 99.99 5 | 99.87 21 |
|
| EU-MVSNet | | | 97.66 267 | 98.50 156 | 95.13 419 | 99.63 80 | 85.84 450 | 98.35 150 | 98.21 362 | 98.23 184 | 99.54 77 | 99.46 79 | 95.02 289 | 99.68 308 | 98.24 135 | 99.87 95 | 99.87 21 |
|
| fmvsm_s_conf0.5_n_3 | | | 99.22 47 | 99.37 32 | 98.78 184 | 99.46 146 | 96.58 261 | 97.65 257 | 99.72 45 | 99.47 46 | 99.86 24 | 99.50 67 | 98.94 30 | 99.89 95 | 99.75 24 | 99.97 21 | 99.86 27 |
|
| 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 | 99.04 178 | 99.81 8 | 98.05 119 | 99.96 14 | 98.85 96 | 99.99 5 | 99.86 27 |
|
| fmvsm_l_conf0.5_n_9 | | | 99.32 33 | 99.43 24 | 98.98 151 | 99.59 85 | 97.18 227 | 97.44 287 | 99.83 25 | 99.56 38 | 99.91 12 | 99.34 106 | 99.36 13 | 99.93 52 | 99.83 9 | 99.98 12 | 99.85 29 |
|
| MM | | | 98.22 213 | 97.99 231 | 98.91 163 | 98.66 341 | 96.97 238 | 97.89 220 | 94.44 437 | 99.54 39 | 98.95 196 | 99.14 161 | 93.50 325 | 99.92 63 | 99.80 16 | 99.96 28 | 99.85 29 |
|
| 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 15 | 100.00 1 | 99.85 29 |
|
| fmvsm_l_conf0.5_n_a | | | 99.19 51 | 99.27 47 | 98.94 157 | 99.65 68 | 97.05 234 | 97.80 233 | 99.76 39 | 98.70 144 | 99.78 39 | 99.11 167 | 98.79 42 | 99.95 26 | 99.85 5 | 99.96 28 | 99.83 32 |
|
| fmvsm_l_conf0.5_n | | | 99.21 48 | 99.28 46 | 99.02 144 | 99.64 74 | 97.28 217 | 97.82 229 | 99.76 39 | 98.73 141 | 99.82 33 | 99.09 175 | 98.81 38 | 99.95 26 | 99.86 4 | 99.96 28 | 99.83 32 |
|
| mvsany_test3 | | | 98.87 100 | 98.92 93 | 98.74 195 | 99.38 165 | 96.94 242 | 98.58 116 | 99.10 269 | 96.49 326 | 99.96 4 | 99.81 8 | 98.18 106 | 99.45 398 | 98.97 88 | 99.79 143 | 99.83 32 |
|
| SSC-MVS | | | 98.71 129 | 98.74 114 | 98.62 212 | 99.72 43 | 96.08 281 | 98.74 97 | 98.64 343 | 99.74 13 | 99.67 58 | 99.24 134 | 94.57 303 | 99.95 26 | 99.11 76 | 99.24 315 | 99.82 35 |
|
| anonymousdsp | | | 99.51 14 | 99.47 21 | 99.62 9 | 99.88 9 | 99.08 69 | 99.34 23 | 99.69 53 | 98.93 126 | 99.65 62 | 99.72 21 | 98.93 32 | 99.95 26 | 99.11 76 | 100.00 1 | 99.82 35 |
|
| ANet_high | | | 99.57 10 | 99.67 6 | 99.28 92 | 99.89 6 | 98.09 142 | 99.14 57 | 99.93 5 | 99.82 8 | 99.93 6 | 99.81 8 | 99.17 20 | 99.94 41 | 99.31 60 | 100.00 1 | 99.82 35 |
|
| fmvsm_s_conf0.5_n_4 | | | 99.01 80 | 99.22 53 | 98.38 255 | 99.31 183 | 95.48 304 | 97.56 272 | 99.73 44 | 98.87 133 | 99.75 44 | 99.27 121 | 98.80 40 | 99.86 141 | 99.80 16 | 99.90 83 | 99.81 38 |
|
| PS-CasMVS | | | 99.40 26 | 99.33 37 | 99.62 9 | 99.71 47 | 99.10 65 | 99.29 36 | 99.53 107 | 99.53 40 | 99.46 96 | 99.41 91 | 98.23 99 | 99.95 26 | 98.89 94 | 99.95 38 | 99.81 38 |
|
| VortexMVS | | | 97.98 240 | 98.31 190 | 97.02 364 | 98.88 292 | 91.45 412 | 98.03 193 | 99.47 132 | 98.65 145 | 99.55 75 | 99.47 77 | 91.49 356 | 99.81 216 | 99.32 59 | 99.91 76 | 99.80 40 |
|
| FC-MVSNet-test | | | 99.27 38 | 99.25 51 | 99.34 79 | 99.77 27 | 98.37 117 | 99.30 35 | 99.57 88 | 99.61 34 | 99.40 110 | 99.50 67 | 97.12 193 | 99.85 154 | 99.02 85 | 99.94 49 | 99.80 40 |
|
| test_cas_vis1_n_1920 | | | 98.33 198 | 98.68 127 | 97.27 353 | 99.69 58 | 92.29 402 | 98.03 193 | 99.85 18 | 97.62 236 | 99.96 4 | 99.62 40 | 93.98 318 | 99.74 273 | 99.52 48 | 99.86 102 | 99.79 42 |
|
| test_vis1_n_1920 | | | 98.40 185 | 98.92 93 | 96.81 377 | 99.74 36 | 90.76 428 | 98.15 170 | 99.91 9 | 98.33 173 | 99.89 18 | 99.55 57 | 95.07 288 | 99.88 113 | 99.76 22 | 99.93 54 | 99.79 42 |
|
| CP-MVSNet | | | 99.21 48 | 99.09 73 | 99.56 26 | 99.65 68 | 98.96 77 | 99.13 58 | 99.34 191 | 99.42 54 | 99.33 124 | 99.26 127 | 97.01 201 | 99.94 41 | 98.74 105 | 99.93 54 | 99.79 42 |
|
| fmvsm_s_conf0.5_n_5 | | | 99.07 76 | 99.10 71 | 98.99 147 | 99.47 144 | 97.22 222 | 97.40 289 | 99.83 25 | 97.61 239 | 99.85 27 | 99.30 115 | 98.80 40 | 99.95 26 | 99.71 30 | 99.90 83 | 99.78 45 |
|
| UniMVSNet_ETH3D | | | 99.69 2 | 99.69 4 | 99.69 3 | 99.84 17 | 99.34 20 | 99.69 5 | 99.58 81 | 99.90 3 | 99.86 24 | 99.78 13 | 99.58 6 | 99.95 26 | 99.00 86 | 99.95 38 | 99.78 45 |
|
| CVMVSNet | | | 96.25 347 | 97.21 289 | 93.38 440 | 99.10 240 | 80.56 468 | 97.20 311 | 98.19 365 | 96.94 304 | 99.00 183 | 99.02 189 | 89.50 375 | 99.80 224 | 96.36 292 | 99.59 239 | 99.78 45 |
|
| reproduce_monomvs | | | 95.00 380 | 95.25 369 | 94.22 428 | 97.51 428 | 83.34 460 | 97.86 225 | 98.44 352 | 98.51 163 | 99.29 134 | 99.30 115 | 67.68 455 | 99.56 363 | 98.89 94 | 99.81 126 | 99.77 48 |
|
| Anonymous20231211 | | | 99.27 38 | 99.27 47 | 99.26 97 | 99.29 190 | 98.18 133 | 99.49 12 | 99.51 112 | 99.70 16 | 99.80 37 | 99.68 25 | 96.84 209 | 99.83 190 | 99.21 69 | 99.91 76 | 99.77 48 |
|
| PEN-MVS | | | 99.41 25 | 99.34 36 | 99.62 9 | 99.73 37 | 99.14 57 | 99.29 36 | 99.54 104 | 99.62 32 | 99.56 72 | 99.42 87 | 98.16 110 | 99.96 14 | 98.78 100 | 99.93 54 | 99.77 48 |
|
| WR-MVS_H | | | 99.33 31 | 99.22 53 | 99.65 8 | 99.71 47 | 99.24 30 | 99.32 26 | 99.55 99 | 99.46 48 | 99.50 89 | 99.34 106 | 97.30 182 | 99.93 52 | 98.90 92 | 99.93 54 | 99.77 48 |
|
| 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 | 99.81 216 | 99.30 61 | 99.97 21 | 99.77 48 |
| 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 |
| WB-MVS | | | 98.52 173 | 98.55 148 | 98.43 249 | 99.65 68 | 95.59 295 | 98.52 123 | 98.77 328 | 99.65 26 | 99.52 83 | 99.00 203 | 94.34 309 | 99.93 52 | 98.65 112 | 98.83 363 | 99.76 53 |
|
| patch_mono-2 | | | 98.51 174 | 98.63 135 | 98.17 279 | 99.38 165 | 94.78 330 | 97.36 296 | 99.69 53 | 98.16 197 | 98.49 272 | 99.29 118 | 97.06 196 | 99.97 7 | 98.29 134 | 99.91 76 | 99.76 53 |
|
| nrg030 | | | 99.40 26 | 99.35 34 | 99.54 31 | 99.58 87 | 99.13 60 | 98.98 75 | 99.48 124 | 99.68 20 | 99.46 96 | 99.26 127 | 98.62 59 | 99.73 280 | 99.17 73 | 99.92 67 | 99.76 53 |
|
| FIs | | | 99.14 60 | 99.09 73 | 99.29 91 | 99.70 55 | 98.28 123 | 99.13 58 | 99.52 111 | 99.48 43 | 99.24 147 | 99.41 91 | 96.79 216 | 99.82 200 | 98.69 110 | 99.88 91 | 99.76 53 |
|
| v7n | | | 99.53 12 | 99.57 13 | 99.41 66 | 99.88 9 | 98.54 106 | 99.45 14 | 99.61 74 | 99.66 24 | 99.68 56 | 99.66 32 | 98.44 77 | 99.95 26 | 99.73 26 | 99.96 28 | 99.75 57 |
|
| APDe-MVS |  | | 98.99 83 | 98.79 110 | 99.60 15 | 99.21 212 | 99.15 52 | 98.87 88 | 99.48 124 | 97.57 243 | 99.35 120 | 99.24 134 | 97.83 135 | 99.89 95 | 97.88 166 | 99.70 198 | 99.75 57 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| DTE-MVSNet | | | 99.43 23 | 99.35 34 | 99.66 7 | 99.71 47 | 99.30 22 | 99.31 30 | 99.51 112 | 99.64 27 | 99.56 72 | 99.46 79 | 98.23 99 | 99.97 7 | 98.78 100 | 99.93 54 | 99.72 59 |
|
| MSC_two_6792asdad | | | | | 99.32 87 | 98.43 370 | 98.37 117 | | 98.86 313 | | | | | 99.89 95 | 97.14 219 | 99.60 235 | 99.71 60 |
|
| No_MVS | | | | | 99.32 87 | 98.43 370 | 98.37 117 | | 98.86 313 | | | | | 99.89 95 | 97.14 219 | 99.60 235 | 99.71 60 |
|
| PMMVS2 | | | 98.07 229 | 98.08 222 | 98.04 291 | 99.41 162 | 94.59 339 | 94.59 434 | 99.40 167 | 97.50 252 | 98.82 226 | 98.83 248 | 96.83 211 | 99.84 172 | 97.50 196 | 99.81 126 | 99.71 60 |
|
| Baseline_NR-MVSNet | | | 98.98 86 | 98.86 104 | 99.36 70 | 99.82 19 | 98.55 103 | 97.47 284 | 99.57 88 | 99.37 59 | 99.21 153 | 99.61 43 | 96.76 219 | 99.83 190 | 98.06 150 | 99.83 116 | 99.71 60 |
|
| XXY-MVS | | | 99.14 60 | 99.15 65 | 99.10 124 | 99.76 30 | 97.74 187 | 98.85 92 | 99.62 71 | 98.48 165 | 99.37 115 | 99.49 73 | 98.75 46 | 99.86 141 | 98.20 140 | 99.80 137 | 99.71 60 |
|
| test_0728_THIRD | | | | | | | | | | 98.17 194 | 99.08 167 | 99.02 189 | 97.89 132 | 99.88 113 | 97.07 225 | 99.71 191 | 99.70 65 |
|
| MSP-MVS | | | 98.40 185 | 98.00 230 | 99.61 13 | 99.57 93 | 99.25 29 | 98.57 117 | 99.35 185 | 97.55 247 | 99.31 132 | 97.71 371 | 94.61 302 | 99.88 113 | 96.14 305 | 99.19 326 | 99.70 65 |
| 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 |
| SSC-MVS3.2 | | | 98.53 169 | 98.79 110 | 97.74 312 | 99.46 146 | 93.62 379 | 96.45 353 | 99.34 191 | 99.33 64 | 98.93 204 | 98.70 275 | 97.90 130 | 99.90 79 | 99.12 75 | 99.92 67 | 99.69 67 |
|
| NormalMVS | | | 98.26 208 | 97.97 235 | 99.15 117 | 99.64 74 | 97.83 174 | 98.28 154 | 99.43 154 | 99.24 74 | 98.80 229 | 98.85 241 | 89.76 371 | 99.94 41 | 98.04 152 | 99.67 212 | 99.68 68 |
|
| KinetiMVS | | | 99.03 78 | 99.02 81 | 99.03 141 | 99.70 55 | 97.48 203 | 98.43 141 | 99.29 220 | 99.70 16 | 99.60 69 | 99.07 176 | 96.13 248 | 99.94 41 | 99.42 54 | 99.87 95 | 99.68 68 |
|
| dcpmvs_2 | | | 98.78 120 | 99.11 69 | 97.78 305 | 99.56 101 | 93.67 376 | 99.06 65 | 99.86 16 | 99.50 42 | 99.66 59 | 99.26 127 | 97.21 190 | 99.99 2 | 98.00 157 | 99.91 76 | 99.68 68 |
|
| test_0728_SECOND | | | | | 99.60 15 | 99.50 126 | 99.23 31 | 98.02 196 | 99.32 199 | | | | | 99.88 113 | 96.99 231 | 99.63 225 | 99.68 68 |
|
| OurMVSNet-221017-0 | | | 99.37 29 | 99.31 41 | 99.53 38 | 99.91 3 | 98.98 71 | 99.63 7 | 99.58 81 | 99.44 51 | 99.78 39 | 99.76 15 | 96.39 237 | 99.92 63 | 99.44 53 | 99.92 67 | 99.68 68 |
|
| fmvsm_s_conf0.5_n_6 | | | 99.08 74 | 99.21 55 | 98.69 200 | 99.36 172 | 96.51 263 | 97.62 262 | 99.68 58 | 98.43 167 | 99.85 27 | 99.10 170 | 99.12 23 | 99.88 113 | 99.77 21 | 99.92 67 | 99.67 73 |
|
| CHOSEN 1792x2688 | | | 97.49 279 | 97.14 294 | 98.54 234 | 99.68 61 | 96.09 279 | 96.50 351 | 99.62 71 | 91.58 428 | 98.84 222 | 98.97 212 | 92.36 344 | 99.88 113 | 96.76 254 | 99.95 38 | 99.67 73 |
|
| reproduce_model | | | 99.15 57 | 98.97 89 | 99.67 4 | 99.33 181 | 99.44 10 | 98.15 170 | 99.47 132 | 99.12 94 | 99.52 83 | 99.32 113 | 98.31 89 | 99.90 79 | 97.78 174 | 99.73 174 | 99.66 75 |
|
| IU-MVS | | | | | | 99.49 134 | 99.15 52 | | 98.87 308 | 92.97 413 | 99.41 107 | | | | 96.76 254 | 99.62 228 | 99.66 75 |
|
| test_241102_TWO | | | | | | | | | 99.30 212 | 98.03 205 | 99.26 141 | 99.02 189 | 97.51 168 | 99.88 113 | 96.91 237 | 99.60 235 | 99.66 75 |
|
| DPE-MVS |  | | 98.59 157 | 98.26 197 | 99.57 21 | 99.27 195 | 99.15 52 | 97.01 320 | 99.39 169 | 97.67 232 | 99.44 100 | 98.99 205 | 97.53 165 | 99.89 95 | 95.40 335 | 99.68 206 | 99.66 75 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| TransMVSNet (Re) | | | 99.44 19 | 99.47 21 | 99.36 70 | 99.80 21 | 98.58 101 | 99.27 42 | 99.57 88 | 99.39 57 | 99.75 44 | 99.62 40 | 99.17 20 | 99.83 190 | 99.06 81 | 99.62 228 | 99.66 75 |
|
| EI-MVSNet-UG-set | | | 98.69 136 | 98.71 121 | 98.62 212 | 99.10 240 | 96.37 270 | 97.23 306 | 98.87 308 | 99.20 81 | 99.19 155 | 98.99 205 | 97.30 182 | 99.85 154 | 98.77 103 | 99.79 143 | 99.65 80 |
|
| Elysia | | | 99.15 57 | 99.14 66 | 99.18 109 | 99.63 80 | 97.92 165 | 98.50 130 | 99.43 154 | 99.67 21 | 99.70 50 | 99.13 163 | 96.66 225 | 99.98 4 | 99.54 42 | 99.96 28 | 99.64 81 |
|
| StellarMVS | | | 99.15 57 | 99.14 66 | 99.18 109 | 99.63 80 | 97.92 165 | 98.50 130 | 99.43 154 | 99.67 21 | 99.70 50 | 99.13 163 | 96.66 225 | 99.98 4 | 99.54 42 | 99.96 28 | 99.64 81 |
|
| 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 | 99.87 132 | 99.36 56 | 99.92 67 | 99.64 81 |
|
| EI-MVSNet-Vis-set | | | 98.68 141 | 98.70 124 | 98.63 210 | 99.09 243 | 96.40 269 | 97.23 306 | 98.86 313 | 99.20 81 | 99.18 159 | 98.97 212 | 97.29 184 | 99.85 154 | 98.72 107 | 99.78 148 | 99.64 81 |
|
| ACMH | | 96.65 7 | 99.25 41 | 99.24 52 | 99.26 97 | 99.72 43 | 98.38 115 | 99.07 64 | 99.55 99 | 98.30 177 | 99.65 62 | 99.45 83 | 99.22 17 | 99.76 260 | 98.44 126 | 99.77 154 | 99.64 81 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| DP-MVS | | | 98.93 92 | 98.81 109 | 99.28 92 | 99.21 212 | 98.45 112 | 98.46 138 | 99.33 197 | 99.63 29 | 99.48 91 | 99.15 158 | 97.23 188 | 99.75 268 | 97.17 215 | 99.66 219 | 99.63 86 |
|
| reproduce-ours | | | 99.09 70 | 98.90 95 | 99.67 4 | 99.27 195 | 99.49 6 | 98.00 200 | 99.42 160 | 99.05 112 | 99.48 91 | 99.27 121 | 98.29 91 | 99.89 95 | 97.61 187 | 99.71 191 | 99.62 87 |
|
| our_new_method | | | 99.09 70 | 98.90 95 | 99.67 4 | 99.27 195 | 99.49 6 | 98.00 200 | 99.42 160 | 99.05 112 | 99.48 91 | 99.27 121 | 98.29 91 | 99.89 95 | 97.61 187 | 99.71 191 | 99.62 87 |
|
| test_fmvs1_n | | | 98.09 227 | 98.28 193 | 97.52 339 | 99.68 61 | 93.47 381 | 98.63 110 | 99.93 5 | 95.41 368 | 99.68 56 | 99.64 37 | 91.88 352 | 99.48 390 | 99.82 11 | 99.87 95 | 99.62 87 |
|
| test1111 | | | 96.49 339 | 96.82 313 | 95.52 412 | 99.42 159 | 87.08 447 | 99.22 45 | 87.14 463 | 99.11 95 | 99.46 96 | 99.58 47 | 88.69 379 | 99.86 141 | 98.80 98 | 99.95 38 | 99.62 87 |
|
| VPA-MVSNet | | | 99.30 34 | 99.30 44 | 99.28 92 | 99.49 134 | 98.36 120 | 99.00 72 | 99.45 140 | 99.63 29 | 99.52 83 | 99.44 84 | 98.25 97 | 99.88 113 | 99.09 78 | 99.84 109 | 99.62 87 |
|
| LPG-MVS_test | | | 98.71 129 | 98.46 166 | 99.47 60 | 99.57 93 | 98.97 73 | 98.23 160 | 99.48 124 | 96.60 321 | 99.10 165 | 99.06 177 | 98.71 50 | 99.83 190 | 95.58 331 | 99.78 148 | 99.62 87 |
|
| LGP-MVS_train | | | | | 99.47 60 | 99.57 93 | 98.97 73 | | 99.48 124 | 96.60 321 | 99.10 165 | 99.06 177 | 98.71 50 | 99.83 190 | 95.58 331 | 99.78 148 | 99.62 87 |
|
| Test_1112_low_res | | | 96.99 320 | 96.55 331 | 98.31 264 | 99.35 177 | 95.47 307 | 95.84 394 | 99.53 107 | 91.51 430 | 96.80 387 | 98.48 314 | 91.36 357 | 99.83 190 | 96.58 270 | 99.53 261 | 99.62 87 |
|
| 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 79 | 99.54 42 | 99.95 38 | 99.61 95 |
|
| v10 | | | 98.97 87 | 99.11 69 | 98.55 229 | 99.44 153 | 96.21 275 | 98.90 83 | 99.55 99 | 98.73 141 | 99.48 91 | 99.60 45 | 96.63 228 | 99.83 190 | 99.70 31 | 99.99 5 | 99.61 95 |
|
| sc_t1 | | | 99.62 7 | 99.66 8 | 99.53 38 | 99.82 19 | 99.09 68 | 99.50 11 | 99.63 69 | 99.88 4 | 99.86 24 | 99.80 11 | 99.03 24 | 99.89 95 | 99.48 51 | 99.93 54 | 99.60 97 |
|
| test_vis1_n | | | 98.31 201 | 98.50 156 | 97.73 315 | 99.76 30 | 94.17 350 | 98.68 107 | 99.91 9 | 96.31 334 | 99.79 38 | 99.57 49 | 92.85 338 | 99.42 403 | 99.79 18 | 99.84 109 | 99.60 97 |
|
| v8 | | | 99.01 80 | 99.16 60 | 98.57 222 | 99.47 144 | 96.31 273 | 98.90 83 | 99.47 132 | 99.03 115 | 99.52 83 | 99.57 49 | 96.93 205 | 99.81 216 | 99.60 35 | 99.98 12 | 99.60 97 |
|
| EI-MVSNet | | | 98.40 185 | 98.51 154 | 98.04 291 | 99.10 240 | 94.73 333 | 97.20 311 | 98.87 308 | 98.97 121 | 99.06 169 | 99.02 189 | 96.00 255 | 99.80 224 | 98.58 115 | 99.82 120 | 99.60 97 |
|
| SixPastTwentyTwo | | | 98.75 125 | 98.62 137 | 99.16 114 | 99.83 18 | 97.96 162 | 99.28 40 | 98.20 363 | 99.37 59 | 99.70 50 | 99.65 36 | 92.65 342 | 99.93 52 | 99.04 83 | 99.84 109 | 99.60 97 |
|
| IterMVS-LS | | | 98.55 165 | 98.70 124 | 98.09 283 | 99.48 142 | 94.73 333 | 97.22 310 | 99.39 169 | 98.97 121 | 99.38 113 | 99.31 114 | 96.00 255 | 99.93 52 | 98.58 115 | 99.97 21 | 99.60 97 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| HyFIR lowres test | | | 97.19 305 | 96.60 329 | 98.96 154 | 99.62 84 | 97.28 217 | 95.17 416 | 99.50 115 | 94.21 395 | 99.01 182 | 98.32 331 | 86.61 391 | 99.99 2 | 97.10 223 | 99.84 109 | 99.60 97 |
|
| lecture | | | 99.25 41 | 99.12 68 | 99.62 9 | 99.64 74 | 99.40 12 | 98.89 87 | 99.51 112 | 99.19 85 | 99.37 115 | 99.25 132 | 98.36 82 | 99.88 113 | 98.23 137 | 99.67 212 | 99.59 104 |
|
| 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 79 | 99.54 42 | 99.95 38 | 99.59 104 |
|
| ACMMP_NAP | | | 98.75 125 | 98.48 162 | 99.57 21 | 99.58 87 | 99.29 24 | 97.82 229 | 99.25 233 | 96.94 304 | 98.78 231 | 99.12 166 | 98.02 120 | 99.84 172 | 97.13 221 | 99.67 212 | 99.59 104 |
|
| VPNet | | | 98.87 100 | 98.83 106 | 99.01 145 | 99.70 55 | 97.62 196 | 98.43 141 | 99.35 185 | 99.47 46 | 99.28 135 | 99.05 184 | 96.72 222 | 99.82 200 | 98.09 147 | 99.36 295 | 99.59 104 |
|
| WR-MVS | | | 98.40 185 | 98.19 208 | 99.03 141 | 99.00 267 | 97.65 193 | 96.85 330 | 98.94 293 | 98.57 158 | 98.89 211 | 98.50 311 | 95.60 273 | 99.85 154 | 97.54 193 | 99.85 104 | 99.59 104 |
|
| HPM-MVS |  | | 98.79 118 | 98.53 152 | 99.59 19 | 99.65 68 | 99.29 24 | 99.16 54 | 99.43 154 | 96.74 316 | 98.61 254 | 98.38 323 | 98.62 59 | 99.87 132 | 96.47 284 | 99.67 212 | 99.59 104 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| EG-PatchMatch MVS | | | 98.99 83 | 99.01 83 | 98.94 157 | 99.50 126 | 97.47 204 | 98.04 191 | 99.59 79 | 98.15 202 | 99.40 110 | 99.36 101 | 98.58 67 | 99.76 260 | 98.78 100 | 99.68 206 | 99.59 104 |
|
| Vis-MVSNet |  | | 99.34 30 | 99.36 33 | 99.27 95 | 99.73 37 | 98.26 124 | 99.17 53 | 99.78 36 | 99.11 95 | 99.27 137 | 99.48 74 | 98.82 37 | 99.95 26 | 98.94 90 | 99.93 54 | 99.59 104 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| MP-MVS-pluss | | | 98.57 160 | 98.23 202 | 99.60 15 | 99.69 58 | 99.35 17 | 97.16 315 | 99.38 171 | 94.87 380 | 98.97 190 | 98.99 205 | 98.01 121 | 99.88 113 | 97.29 209 | 99.70 198 | 99.58 112 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| region2R | | | 98.69 136 | 98.40 174 | 99.54 31 | 99.53 115 | 99.17 44 | 98.52 123 | 99.31 204 | 97.46 260 | 98.44 276 | 98.51 307 | 97.83 135 | 99.88 113 | 96.46 285 | 99.58 244 | 99.58 112 |
|
| ACMMPR | | | 98.70 133 | 98.42 172 | 99.54 31 | 99.52 118 | 99.14 57 | 98.52 123 | 99.31 204 | 97.47 255 | 98.56 263 | 98.54 302 | 97.75 144 | 99.88 113 | 96.57 272 | 99.59 239 | 99.58 112 |
|
| PGM-MVS | | | 98.66 145 | 98.37 181 | 99.55 28 | 99.53 115 | 99.18 43 | 98.23 160 | 99.49 122 | 97.01 301 | 98.69 242 | 98.88 235 | 98.00 122 | 99.89 95 | 95.87 317 | 99.59 239 | 99.58 112 |
|
| SteuartSystems-ACMMP | | | 98.79 118 | 98.54 150 | 99.54 31 | 99.73 37 | 99.16 48 | 98.23 160 | 99.31 204 | 97.92 215 | 98.90 208 | 98.90 228 | 98.00 122 | 99.88 113 | 96.15 304 | 99.72 182 | 99.58 112 |
| Skip Steuart: Steuart Systems R&D Blog. |
| SDMVSNet | | | 99.23 46 | 99.32 39 | 98.96 154 | 99.68 61 | 97.35 211 | 98.84 94 | 99.48 124 | 99.69 18 | 99.63 65 | 99.68 25 | 99.03 24 | 99.96 14 | 97.97 160 | 99.92 67 | 99.57 117 |
|
| sd_testset | | | 99.28 37 | 99.31 41 | 99.19 108 | 99.68 61 | 98.06 151 | 99.41 17 | 99.30 212 | 99.69 18 | 99.63 65 | 99.68 25 | 99.25 16 | 99.96 14 | 97.25 212 | 99.92 67 | 99.57 117 |
|
| TranMVSNet+NR-MVSNet | | | 99.17 52 | 99.07 76 | 99.46 62 | 99.37 171 | 98.87 81 | 98.39 146 | 99.42 160 | 99.42 54 | 99.36 118 | 99.06 177 | 98.38 81 | 99.95 26 | 98.34 131 | 99.90 83 | 99.57 117 |
|
| mPP-MVS | | | 98.64 148 | 98.34 185 | 99.54 31 | 99.54 112 | 99.17 44 | 98.63 110 | 99.24 238 | 97.47 255 | 98.09 305 | 98.68 279 | 97.62 155 | 99.89 95 | 96.22 299 | 99.62 228 | 99.57 117 |
|
| PVSNet_Blended_VisFu | | | 98.17 222 | 98.15 214 | 98.22 275 | 99.73 37 | 95.15 319 | 97.36 296 | 99.68 58 | 94.45 390 | 98.99 185 | 99.27 121 | 96.87 208 | 99.94 41 | 97.13 221 | 99.91 76 | 99.57 117 |
|
| 1112_ss | | | 97.29 297 | 96.86 309 | 98.58 219 | 99.34 180 | 96.32 272 | 96.75 336 | 99.58 81 | 93.14 411 | 96.89 382 | 97.48 385 | 92.11 349 | 99.86 141 | 96.91 237 | 99.54 257 | 99.57 117 |
|
| MTAPA | | | 98.88 99 | 98.64 133 | 99.61 13 | 99.67 65 | 99.36 16 | 98.43 141 | 99.20 244 | 98.83 139 | 98.89 211 | 98.90 228 | 96.98 203 | 99.92 63 | 97.16 216 | 99.70 198 | 99.56 123 |
|
| XVS | | | 98.72 128 | 98.45 167 | 99.53 38 | 99.46 146 | 99.21 33 | 98.65 108 | 99.34 191 | 98.62 151 | 97.54 345 | 98.63 291 | 97.50 169 | 99.83 190 | 96.79 250 | 99.53 261 | 99.56 123 |
|
| pm-mvs1 | | | 99.44 19 | 99.48 18 | 99.33 85 | 99.80 21 | 98.63 95 | 99.29 36 | 99.63 69 | 99.30 69 | 99.65 62 | 99.60 45 | 99.16 22 | 99.82 200 | 99.07 79 | 99.83 116 | 99.56 123 |
|
| X-MVStestdata | | | 94.32 387 | 92.59 406 | 99.53 38 | 99.46 146 | 99.21 33 | 98.65 108 | 99.34 191 | 98.62 151 | 97.54 345 | 45.85 465 | 97.50 169 | 99.83 190 | 96.79 250 | 99.53 261 | 99.56 123 |
|
| HPM-MVS_fast | | | 99.01 80 | 98.82 107 | 99.57 21 | 99.71 47 | 99.35 17 | 99.00 72 | 99.50 115 | 97.33 271 | 98.94 203 | 98.86 238 | 98.75 46 | 99.82 200 | 97.53 194 | 99.71 191 | 99.56 123 |
|
| K. test v3 | | | 98.00 236 | 97.66 261 | 99.03 141 | 99.79 23 | 97.56 198 | 99.19 52 | 92.47 449 | 99.62 32 | 99.52 83 | 99.66 32 | 89.61 373 | 99.96 14 | 99.25 66 | 99.81 126 | 99.56 123 |
|
| CP-MVS | | | 98.70 133 | 98.42 172 | 99.52 44 | 99.36 172 | 99.12 62 | 98.72 102 | 99.36 179 | 97.54 249 | 98.30 285 | 98.40 320 | 97.86 134 | 99.89 95 | 96.53 281 | 99.72 182 | 99.56 123 |
|
| viewmacassd2359aftdt | | | 98.86 103 | 98.87 100 | 98.83 172 | 99.53 115 | 97.32 214 | 97.70 249 | 99.64 67 | 98.22 185 | 99.25 145 | 99.27 121 | 98.40 79 | 99.61 344 | 97.98 159 | 99.87 95 | 99.55 130 |
|
| FE-MVSNET | | | 98.59 157 | 98.50 156 | 98.87 167 | 99.58 87 | 97.30 215 | 98.08 182 | 99.74 43 | 96.94 304 | 98.97 190 | 99.10 170 | 96.94 204 | 99.74 273 | 97.33 207 | 99.86 102 | 99.55 130 |
|
| ZNCC-MVS | | | 98.68 141 | 98.40 174 | 99.54 31 | 99.57 93 | 99.21 33 | 98.46 138 | 99.29 220 | 97.28 277 | 98.11 303 | 98.39 321 | 98.00 122 | 99.87 132 | 96.86 247 | 99.64 222 | 99.55 130 |
|
| v1192 | | | 98.60 155 | 98.66 130 | 98.41 251 | 99.27 195 | 95.88 287 | 97.52 277 | 99.36 179 | 97.41 264 | 99.33 124 | 99.20 143 | 96.37 240 | 99.82 200 | 99.57 37 | 99.92 67 | 99.55 130 |
|
| v1240 | | | 98.55 165 | 98.62 137 | 98.32 262 | 99.22 210 | 95.58 297 | 97.51 279 | 99.45 140 | 97.16 292 | 99.45 99 | 99.24 134 | 96.12 250 | 99.85 154 | 99.60 35 | 99.88 91 | 99.55 130 |
|
| UGNet | | | 98.53 169 | 98.45 167 | 98.79 181 | 97.94 399 | 96.96 240 | 99.08 61 | 98.54 347 | 99.10 102 | 96.82 386 | 99.47 77 | 96.55 231 | 99.84 172 | 98.56 120 | 99.94 49 | 99.55 130 |
| 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 |
| AstraMVS | | | 98.16 224 | 98.07 224 | 98.41 251 | 99.51 120 | 95.86 288 | 98.00 200 | 95.14 432 | 98.97 121 | 99.43 101 | 99.24 134 | 93.25 326 | 99.84 172 | 99.21 69 | 99.87 95 | 99.54 136 |
|
| WBMVS | | | 95.18 375 | 94.78 381 | 96.37 388 | 97.68 416 | 89.74 435 | 95.80 395 | 98.73 336 | 97.54 249 | 98.30 285 | 98.44 317 | 70.06 449 | 99.82 200 | 96.62 267 | 99.87 95 | 99.54 136 |
|
| test2506 | | | 92.39 418 | 91.89 420 | 93.89 433 | 99.38 165 | 82.28 464 | 99.32 26 | 66.03 471 | 99.08 109 | 98.77 234 | 99.57 49 | 66.26 459 | 99.84 172 | 98.71 108 | 99.95 38 | 99.54 136 |
|
| ECVR-MVS |  | | 96.42 341 | 96.61 327 | 95.85 404 | 99.38 165 | 88.18 442 | 99.22 45 | 86.00 465 | 99.08 109 | 99.36 118 | 99.57 49 | 88.47 384 | 99.82 200 | 98.52 123 | 99.95 38 | 99.54 136 |
|
| v144192 | | | 98.54 167 | 98.57 146 | 98.45 246 | 99.21 212 | 95.98 284 | 97.63 261 | 99.36 179 | 97.15 294 | 99.32 130 | 99.18 148 | 95.84 267 | 99.84 172 | 99.50 49 | 99.91 76 | 99.54 136 |
|
| v1921920 | | | 98.54 167 | 98.60 142 | 98.38 255 | 99.20 216 | 95.76 294 | 97.56 272 | 99.36 179 | 97.23 286 | 99.38 113 | 99.17 152 | 96.02 253 | 99.84 172 | 99.57 37 | 99.90 83 | 99.54 136 |
|
| MP-MVS |  | | 98.46 179 | 98.09 219 | 99.54 31 | 99.57 93 | 99.22 32 | 98.50 130 | 99.19 248 | 97.61 239 | 97.58 341 | 98.66 284 | 97.40 176 | 99.88 113 | 94.72 350 | 99.60 235 | 99.54 136 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| MIMVSNet1 | | | 99.38 28 | 99.32 39 | 99.55 28 | 99.86 14 | 99.19 42 | 99.41 17 | 99.59 79 | 99.59 35 | 99.71 48 | 99.57 49 | 97.12 193 | 99.90 79 | 99.21 69 | 99.87 95 | 99.54 136 |
|
| ACMMP |  | | 98.75 125 | 98.50 156 | 99.52 44 | 99.56 101 | 99.16 48 | 98.87 88 | 99.37 175 | 97.16 292 | 98.82 226 | 99.01 200 | 97.71 146 | 99.87 132 | 96.29 296 | 99.69 201 | 99.54 136 |
| 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 |
| SMA-MVS |  | | 98.40 185 | 98.03 227 | 99.51 48 | 99.16 229 | 99.21 33 | 98.05 189 | 99.22 241 | 94.16 396 | 98.98 186 | 99.10 170 | 97.52 167 | 99.79 237 | 96.45 286 | 99.64 222 | 99.53 145 |
| 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 |
| HFP-MVS | | | 98.71 129 | 98.44 169 | 99.51 48 | 99.49 134 | 99.16 48 | 98.52 123 | 99.31 204 | 97.47 255 | 98.58 260 | 98.50 311 | 97.97 126 | 99.85 154 | 96.57 272 | 99.59 239 | 99.53 145 |
|
| UniMVSNet_NR-MVSNet | | | 98.86 103 | 98.68 127 | 99.40 68 | 99.17 227 | 98.74 88 | 97.68 251 | 99.40 167 | 99.14 93 | 99.06 169 | 98.59 298 | 96.71 223 | 99.93 52 | 98.57 117 | 99.77 154 | 99.53 145 |
|
| GST-MVS | | | 98.61 154 | 98.30 191 | 99.52 44 | 99.51 120 | 99.20 39 | 98.26 158 | 99.25 233 | 97.44 263 | 98.67 245 | 98.39 321 | 97.68 147 | 99.85 154 | 96.00 309 | 99.51 266 | 99.52 148 |
|
| MVS_0304 | | | 97.44 284 | 97.01 300 | 98.72 197 | 96.42 453 | 96.74 253 | 97.20 311 | 91.97 453 | 98.46 166 | 98.30 285 | 98.79 256 | 92.74 340 | 99.91 72 | 99.30 61 | 99.94 49 | 99.52 148 |
|
| TDRefinement | | | 99.42 24 | 99.38 29 | 99.55 28 | 99.76 30 | 99.33 21 | 99.68 6 | 99.71 47 | 99.38 58 | 99.53 81 | 99.61 43 | 98.64 56 | 99.80 224 | 98.24 135 | 99.84 109 | 99.52 148 |
|
| v1144 | | | 98.60 155 | 98.66 130 | 98.41 251 | 99.36 172 | 95.90 286 | 97.58 270 | 99.34 191 | 97.51 251 | 99.27 137 | 99.15 158 | 96.34 242 | 99.80 224 | 99.47 52 | 99.93 54 | 99.51 151 |
|
| v2v482 | | | 98.56 161 | 98.62 137 | 98.37 258 | 99.42 159 | 95.81 292 | 97.58 270 | 99.16 259 | 97.90 217 | 99.28 135 | 99.01 200 | 95.98 260 | 99.79 237 | 99.33 58 | 99.90 83 | 99.51 151 |
|
| CPTT-MVS | | | 97.84 256 | 97.36 280 | 99.27 95 | 99.31 183 | 98.46 111 | 98.29 153 | 99.27 227 | 94.90 379 | 97.83 325 | 98.37 324 | 94.90 291 | 99.84 172 | 93.85 378 | 99.54 257 | 99.51 151 |
|
| viewdifsd2359ckpt11 | | | 98.84 106 | 99.04 78 | 98.24 271 | 99.56 101 | 95.51 300 | 97.38 291 | 99.70 51 | 99.16 90 | 99.57 70 | 99.40 94 | 98.26 95 | 99.71 288 | 98.55 121 | 99.82 120 | 99.50 154 |
|
| viewmsd2359difaftdt | | | 98.84 106 | 99.04 78 | 98.24 271 | 99.56 101 | 95.51 300 | 97.38 291 | 99.70 51 | 99.16 90 | 99.57 70 | 99.40 94 | 98.26 95 | 99.71 288 | 98.55 121 | 99.82 120 | 99.50 154 |
|
| LuminaMVS | | | 98.39 191 | 98.20 204 | 98.98 151 | 99.50 126 | 97.49 201 | 97.78 235 | 97.69 378 | 98.75 140 | 99.49 90 | 99.25 132 | 92.30 346 | 99.94 41 | 99.14 74 | 99.88 91 | 99.50 154 |
|
| DU-MVS | | | 98.82 112 | 98.63 135 | 99.39 69 | 99.16 229 | 98.74 88 | 97.54 275 | 99.25 233 | 98.84 138 | 99.06 169 | 98.76 262 | 96.76 219 | 99.93 52 | 98.57 117 | 99.77 154 | 99.50 154 |
|
| NR-MVSNet | | | 98.95 90 | 98.82 107 | 99.36 70 | 99.16 229 | 98.72 93 | 99.22 45 | 99.20 244 | 99.10 102 | 99.72 46 | 98.76 262 | 96.38 239 | 99.86 141 | 98.00 157 | 99.82 120 | 99.50 154 |
|
| casdiffmvs_mvg |  | | 99.12 67 | 99.16 60 | 98.99 147 | 99.43 158 | 97.73 189 | 98.00 200 | 99.62 71 | 99.22 77 | 99.55 75 | 99.22 140 | 98.93 32 | 99.75 268 | 98.66 111 | 99.81 126 | 99.50 154 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| ACMH+ | | 96.62 9 | 99.08 74 | 99.00 85 | 99.33 85 | 99.71 47 | 98.83 83 | 98.60 114 | 99.58 81 | 99.11 95 | 99.53 81 | 99.18 148 | 98.81 38 | 99.67 312 | 96.71 261 | 99.77 154 | 99.50 154 |
|
| SymmetryMVS | | | 98.05 231 | 97.71 256 | 99.09 128 | 99.29 190 | 97.83 174 | 98.28 154 | 97.64 383 | 99.24 74 | 98.80 229 | 98.85 241 | 89.76 371 | 99.94 41 | 98.04 152 | 99.50 273 | 99.49 161 |
|
| DVP-MVS++ | | | 98.90 96 | 98.70 124 | 99.51 48 | 98.43 370 | 99.15 52 | 99.43 15 | 99.32 199 | 98.17 194 | 99.26 141 | 99.02 189 | 98.18 106 | 99.88 113 | 97.07 225 | 99.45 280 | 99.49 161 |
|
| PC_three_1452 | | | | | | | | | | 93.27 409 | 99.40 110 | 98.54 302 | 98.22 102 | 97.00 460 | 95.17 338 | 99.45 280 | 99.49 161 |
|
| GeoE | | | 99.05 77 | 98.99 87 | 99.25 100 | 99.44 153 | 98.35 121 | 98.73 101 | 99.56 95 | 98.42 168 | 98.91 207 | 98.81 253 | 98.94 30 | 99.91 72 | 98.35 130 | 99.73 174 | 99.49 161 |
|
| h-mvs33 | | | 97.77 259 | 97.33 283 | 99.10 124 | 99.21 212 | 97.84 173 | 98.35 150 | 98.57 346 | 99.11 95 | 98.58 260 | 99.02 189 | 88.65 382 | 99.96 14 | 98.11 145 | 96.34 441 | 99.49 161 |
|
| IterMVS-SCA-FT | | | 97.85 255 | 98.18 209 | 96.87 373 | 99.27 195 | 91.16 422 | 95.53 404 | 99.25 233 | 99.10 102 | 99.41 107 | 99.35 102 | 93.10 331 | 99.96 14 | 98.65 112 | 99.94 49 | 99.49 161 |
|
| new-patchmatchnet | | | 98.35 193 | 98.74 114 | 97.18 356 | 99.24 205 | 92.23 404 | 96.42 357 | 99.48 124 | 98.30 177 | 99.69 54 | 99.53 63 | 97.44 174 | 99.82 200 | 98.84 97 | 99.77 154 | 99.49 161 |
|
| APD-MVS |  | | 98.10 225 | 97.67 258 | 99.42 64 | 99.11 238 | 98.93 79 | 97.76 241 | 99.28 224 | 94.97 377 | 98.72 240 | 98.77 260 | 97.04 197 | 99.85 154 | 93.79 379 | 99.54 257 | 99.49 161 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| EPP-MVSNet | | | 98.30 202 | 98.04 226 | 99.07 131 | 99.56 101 | 97.83 174 | 99.29 36 | 98.07 369 | 99.03 115 | 98.59 258 | 99.13 163 | 92.16 348 | 99.90 79 | 96.87 245 | 99.68 206 | 99.49 161 |
|
| DeepC-MVS | | 97.60 4 | 98.97 87 | 98.93 92 | 99.10 124 | 99.35 177 | 97.98 158 | 98.01 199 | 99.46 136 | 97.56 245 | 99.54 77 | 99.50 67 | 98.97 28 | 99.84 172 | 98.06 150 | 99.92 67 | 99.49 161 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| ACMM | | 96.08 12 | 98.91 94 | 98.73 116 | 99.48 56 | 99.55 107 | 99.14 57 | 98.07 186 | 99.37 175 | 97.62 236 | 99.04 178 | 98.96 215 | 98.84 36 | 99.79 237 | 97.43 202 | 99.65 220 | 99.49 161 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| guyue | | | 98.01 235 | 97.93 240 | 98.26 268 | 99.45 151 | 95.48 304 | 98.08 182 | 96.24 415 | 98.89 132 | 99.34 122 | 99.14 161 | 91.32 358 | 99.82 200 | 99.07 79 | 99.83 116 | 99.48 172 |
|
| DVP-MVS |  | | 98.77 123 | 98.52 153 | 99.52 44 | 99.50 126 | 99.21 33 | 98.02 196 | 98.84 317 | 97.97 209 | 99.08 167 | 99.02 189 | 97.61 157 | 99.88 113 | 96.99 231 | 99.63 225 | 99.48 172 |
| 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 |
| SR-MVS | | | 98.71 129 | 98.43 170 | 99.57 21 | 99.18 226 | 99.35 17 | 98.36 149 | 99.29 220 | 98.29 180 | 98.88 215 | 98.85 241 | 97.53 165 | 99.87 132 | 96.14 305 | 99.31 303 | 99.48 172 |
|
| TSAR-MVS + MP. | | | 98.63 150 | 98.49 161 | 99.06 137 | 99.64 74 | 97.90 168 | 98.51 128 | 98.94 293 | 96.96 302 | 99.24 147 | 98.89 234 | 97.83 135 | 99.81 216 | 96.88 244 | 99.49 275 | 99.48 172 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| VDDNet | | | 98.21 215 | 97.95 236 | 99.01 145 | 99.58 87 | 97.74 187 | 99.01 70 | 97.29 391 | 99.67 21 | 98.97 190 | 99.50 67 | 90.45 366 | 99.80 224 | 97.88 166 | 99.20 323 | 99.48 172 |
|
| IterMVS | | | 97.73 261 | 98.11 218 | 96.57 383 | 99.24 205 | 90.28 431 | 95.52 406 | 99.21 242 | 98.86 135 | 99.33 124 | 99.33 109 | 93.11 330 | 99.94 41 | 98.49 124 | 99.94 49 | 99.48 172 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| IS-MVSNet | | | 98.19 218 | 97.90 243 | 99.08 129 | 99.57 93 | 97.97 159 | 99.31 30 | 98.32 358 | 99.01 117 | 98.98 186 | 99.03 188 | 91.59 354 | 99.79 237 | 95.49 333 | 99.80 137 | 99.48 172 |
|
| ACMP | | 95.32 15 | 98.41 183 | 98.09 219 | 99.36 70 | 99.51 120 | 98.79 86 | 97.68 251 | 99.38 171 | 95.76 355 | 98.81 228 | 98.82 251 | 98.36 82 | 99.82 200 | 94.75 347 | 99.77 154 | 99.48 172 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| MCST-MVS | | | 98.00 236 | 97.63 264 | 99.10 124 | 99.24 205 | 98.17 134 | 96.89 329 | 98.73 336 | 95.66 356 | 97.92 316 | 97.70 373 | 97.17 191 | 99.66 323 | 96.18 303 | 99.23 318 | 99.47 180 |
|
| 3Dnovator+ | | 97.89 3 | 98.69 136 | 98.51 154 | 99.24 102 | 98.81 307 | 98.40 113 | 99.02 69 | 99.19 248 | 98.99 118 | 98.07 306 | 99.28 119 | 97.11 195 | 99.84 172 | 96.84 248 | 99.32 301 | 99.47 180 |
|
| diffmvs_AUTHOR | | | 98.50 175 | 98.59 144 | 98.23 274 | 99.35 177 | 95.48 304 | 96.61 344 | 99.60 75 | 98.37 169 | 98.90 208 | 99.00 203 | 97.37 178 | 99.76 260 | 98.22 138 | 99.85 104 | 99.46 182 |
|
| HPM-MVS++ |  | | 98.10 225 | 97.64 263 | 99.48 56 | 99.09 243 | 99.13 60 | 97.52 277 | 98.75 333 | 97.46 260 | 96.90 381 | 97.83 366 | 96.01 254 | 99.84 172 | 95.82 321 | 99.35 297 | 99.46 182 |
|
| V42 | | | 98.78 120 | 98.78 112 | 98.76 189 | 99.44 153 | 97.04 235 | 98.27 157 | 99.19 248 | 97.87 219 | 99.25 145 | 99.16 154 | 96.84 209 | 99.78 248 | 99.21 69 | 99.84 109 | 99.46 182 |
|
| APD-MVS_3200maxsize | | | 98.84 106 | 98.61 141 | 99.53 38 | 99.19 219 | 99.27 27 | 98.49 133 | 99.33 197 | 98.64 146 | 99.03 181 | 98.98 210 | 97.89 132 | 99.85 154 | 96.54 280 | 99.42 288 | 99.46 182 |
|
| UniMVSNet (Re) | | | 98.87 100 | 98.71 121 | 99.35 76 | 99.24 205 | 98.73 91 | 97.73 246 | 99.38 171 | 98.93 126 | 99.12 161 | 98.73 265 | 96.77 217 | 99.86 141 | 98.63 114 | 99.80 137 | 99.46 182 |
|
| SR-MVS-dyc-post | | | 98.81 114 | 98.55 148 | 99.57 21 | 99.20 216 | 99.38 13 | 98.48 136 | 99.30 212 | 98.64 146 | 98.95 196 | 98.96 215 | 97.49 172 | 99.86 141 | 96.56 276 | 99.39 291 | 99.45 187 |
|
| RE-MVS-def | | | | 98.58 145 | | 99.20 216 | 99.38 13 | 98.48 136 | 99.30 212 | 98.64 146 | 98.95 196 | 98.96 215 | 97.75 144 | | 96.56 276 | 99.39 291 | 99.45 187 |
|
| HQP_MVS | | | 97.99 239 | 97.67 258 | 98.93 159 | 99.19 219 | 97.65 193 | 97.77 238 | 99.27 227 | 98.20 191 | 97.79 328 | 97.98 356 | 94.90 291 | 99.70 295 | 94.42 359 | 99.51 266 | 99.45 187 |
|
| plane_prior5 | | | | | | | | | 99.27 227 | | | | | 99.70 295 | 94.42 359 | 99.51 266 | 99.45 187 |
|
| lessismore_v0 | | | | | 98.97 153 | 99.73 37 | 97.53 200 | | 86.71 464 | | 99.37 115 | 99.52 66 | 89.93 369 | 99.92 63 | 98.99 87 | 99.72 182 | 99.44 191 |
|
| TAMVS | | | 98.24 212 | 98.05 225 | 98.80 178 | 99.07 247 | 97.18 227 | 97.88 221 | 98.81 322 | 96.66 320 | 99.17 160 | 99.21 141 | 94.81 297 | 99.77 254 | 96.96 235 | 99.88 91 | 99.44 191 |
|
| DeepPCF-MVS | | 96.93 5 | 98.32 199 | 98.01 229 | 99.23 104 | 98.39 375 | 98.97 73 | 95.03 420 | 99.18 252 | 96.88 308 | 99.33 124 | 98.78 258 | 98.16 110 | 99.28 424 | 96.74 256 | 99.62 228 | 99.44 191 |
|
| 3Dnovator | | 98.27 2 | 98.81 114 | 98.73 116 | 99.05 138 | 98.76 312 | 97.81 182 | 99.25 43 | 99.30 212 | 98.57 158 | 98.55 265 | 99.33 109 | 97.95 127 | 99.90 79 | 97.16 216 | 99.67 212 | 99.44 191 |
|
| MVSFormer | | | 98.26 208 | 98.43 170 | 97.77 306 | 98.88 292 | 93.89 369 | 99.39 20 | 99.56 95 | 99.11 95 | 98.16 297 | 98.13 342 | 93.81 321 | 99.97 7 | 99.26 64 | 99.57 248 | 99.43 195 |
|
| jason | | | 97.45 283 | 97.35 281 | 97.76 309 | 99.24 205 | 93.93 365 | 95.86 391 | 98.42 354 | 94.24 394 | 98.50 271 | 98.13 342 | 94.82 295 | 99.91 72 | 97.22 213 | 99.73 174 | 99.43 195 |
| jason: jason. |
| NCCC | | | 97.86 250 | 97.47 275 | 99.05 138 | 98.61 346 | 98.07 148 | 96.98 322 | 98.90 302 | 97.63 235 | 97.04 371 | 97.93 361 | 95.99 259 | 99.66 323 | 95.31 336 | 98.82 365 | 99.43 195 |
|
| Anonymous20240521 | | | 98.69 136 | 98.87 100 | 98.16 281 | 99.77 27 | 95.11 322 | 99.08 61 | 99.44 148 | 99.34 63 | 99.33 124 | 99.55 57 | 94.10 317 | 99.94 41 | 99.25 66 | 99.96 28 | 99.42 198 |
|
| MVS_111021_HR | | | 98.25 211 | 98.08 222 | 98.75 191 | 99.09 243 | 97.46 205 | 95.97 382 | 99.27 227 | 97.60 241 | 97.99 314 | 98.25 334 | 98.15 112 | 99.38 409 | 96.87 245 | 99.57 248 | 99.42 198 |
|
| COLMAP_ROB |  | 96.50 10 | 98.99 83 | 98.85 105 | 99.41 66 | 99.58 87 | 99.10 65 | 98.74 97 | 99.56 95 | 99.09 105 | 99.33 124 | 99.19 144 | 98.40 79 | 99.72 287 | 95.98 311 | 99.76 167 | 99.42 198 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| SED-MVS | | | 98.91 94 | 98.72 118 | 99.49 54 | 99.49 134 | 99.17 44 | 98.10 179 | 99.31 204 | 98.03 205 | 99.66 59 | 99.02 189 | 98.36 82 | 99.88 113 | 96.91 237 | 99.62 228 | 99.41 201 |
|
| OPU-MVS | | | | | 98.82 174 | 98.59 351 | 98.30 122 | 98.10 179 | | | | 98.52 306 | 98.18 106 | 98.75 447 | 94.62 351 | 99.48 276 | 99.41 201 |
|
| our_test_3 | | | 97.39 289 | 97.73 254 | 96.34 389 | 98.70 326 | 89.78 434 | 94.61 433 | 98.97 292 | 96.50 325 | 99.04 178 | 98.85 241 | 95.98 260 | 99.84 172 | 97.26 211 | 99.67 212 | 99.41 201 |
|
| casdiffmvs |  | | 98.95 90 | 99.00 85 | 98.81 176 | 99.38 165 | 97.33 212 | 97.82 229 | 99.57 88 | 99.17 89 | 99.35 120 | 99.17 152 | 98.35 86 | 99.69 299 | 98.46 125 | 99.73 174 | 99.41 201 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| YYNet1 | | | 97.60 270 | 97.67 258 | 97.39 349 | 99.04 256 | 93.04 388 | 95.27 413 | 98.38 357 | 97.25 280 | 98.92 206 | 98.95 219 | 95.48 279 | 99.73 280 | 96.99 231 | 98.74 367 | 99.41 201 |
|
| MDA-MVSNet_test_wron | | | 97.60 270 | 97.66 261 | 97.41 348 | 99.04 256 | 93.09 384 | 95.27 413 | 98.42 354 | 97.26 279 | 98.88 215 | 98.95 219 | 95.43 280 | 99.73 280 | 97.02 228 | 98.72 369 | 99.41 201 |
|
| GBi-Net | | | 98.65 146 | 98.47 164 | 99.17 111 | 98.90 286 | 98.24 126 | 99.20 48 | 99.44 148 | 98.59 154 | 98.95 196 | 99.55 57 | 94.14 313 | 99.86 141 | 97.77 175 | 99.69 201 | 99.41 201 |
|
| test1 | | | 98.65 146 | 98.47 164 | 99.17 111 | 98.90 286 | 98.24 126 | 99.20 48 | 99.44 148 | 98.59 154 | 98.95 196 | 99.55 57 | 94.14 313 | 99.86 141 | 97.77 175 | 99.69 201 | 99.41 201 |
|
| FMVSNet1 | | | 99.17 52 | 99.17 58 | 99.17 111 | 99.55 107 | 98.24 126 | 99.20 48 | 99.44 148 | 99.21 79 | 99.43 101 | 99.55 57 | 97.82 138 | 99.86 141 | 98.42 128 | 99.89 89 | 99.41 201 |
|
| test_fmvs1 | | | 97.72 262 | 97.94 238 | 97.07 363 | 98.66 341 | 92.39 399 | 97.68 251 | 99.81 31 | 95.20 373 | 99.54 77 | 99.44 84 | 91.56 355 | 99.41 404 | 99.78 20 | 99.77 154 | 99.40 210 |
|
| viewmanbaseed2359cas | | | 98.58 159 | 98.54 150 | 98.70 199 | 99.28 192 | 97.13 233 | 97.47 284 | 99.55 99 | 97.55 247 | 98.96 195 | 98.92 223 | 97.77 142 | 99.59 351 | 97.59 190 | 99.77 154 | 99.39 211 |
|
| KD-MVS_self_test | | | 99.25 41 | 99.18 57 | 99.44 63 | 99.63 80 | 99.06 70 | 98.69 106 | 99.54 104 | 99.31 67 | 99.62 68 | 99.53 63 | 97.36 179 | 99.86 141 | 99.24 68 | 99.71 191 | 99.39 211 |
|
| v148 | | | 98.45 180 | 98.60 142 | 98.00 293 | 99.44 153 | 94.98 325 | 97.44 287 | 99.06 274 | 98.30 177 | 99.32 130 | 98.97 212 | 96.65 227 | 99.62 337 | 98.37 129 | 99.85 104 | 99.39 211 |
|
| test20.03 | | | 98.78 120 | 98.77 113 | 98.78 184 | 99.46 146 | 97.20 225 | 97.78 235 | 99.24 238 | 99.04 114 | 99.41 107 | 98.90 228 | 97.65 150 | 99.76 260 | 97.70 182 | 99.79 143 | 99.39 211 |
|
| CDPH-MVS | | | 97.26 298 | 96.66 325 | 99.07 131 | 99.00 267 | 98.15 135 | 96.03 380 | 99.01 288 | 91.21 434 | 97.79 328 | 97.85 365 | 96.89 207 | 99.69 299 | 92.75 402 | 99.38 294 | 99.39 211 |
|
| EPNet | | | 96.14 350 | 95.44 362 | 98.25 269 | 90.76 469 | 95.50 303 | 97.92 216 | 94.65 435 | 98.97 121 | 92.98 451 | 98.85 241 | 89.12 377 | 99.87 132 | 95.99 310 | 99.68 206 | 99.39 211 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| CNVR-MVS | | | 98.17 222 | 97.87 245 | 99.07 131 | 98.67 336 | 98.24 126 | 97.01 320 | 98.93 296 | 97.25 280 | 97.62 337 | 98.34 328 | 97.27 185 | 99.57 360 | 96.42 287 | 99.33 300 | 99.39 211 |
|
| DeepC-MVS_fast | | 96.85 6 | 98.30 202 | 98.15 214 | 98.75 191 | 98.61 346 | 97.23 220 | 97.76 241 | 99.09 271 | 97.31 274 | 98.75 237 | 98.66 284 | 97.56 161 | 99.64 331 | 96.10 308 | 99.55 255 | 99.39 211 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| SF-MVS | | | 98.53 169 | 98.27 196 | 99.32 87 | 99.31 183 | 98.75 87 | 98.19 164 | 99.41 164 | 96.77 315 | 98.83 223 | 98.90 228 | 97.80 140 | 99.82 200 | 95.68 327 | 99.52 264 | 99.38 219 |
|
| test9_res | | | | | | | | | | | | | | | 93.28 391 | 99.15 331 | 99.38 219 |
|
| BP-MVS1 | | | 97.40 288 | 96.97 301 | 98.71 198 | 99.07 247 | 96.81 248 | 98.34 152 | 97.18 393 | 98.58 157 | 98.17 294 | 98.61 295 | 84.01 414 | 99.94 41 | 98.97 88 | 99.78 148 | 99.37 221 |
|
| OPM-MVS | | | 98.56 161 | 98.32 189 | 99.25 100 | 99.41 162 | 98.73 91 | 97.13 317 | 99.18 252 | 97.10 295 | 98.75 237 | 98.92 223 | 98.18 106 | 99.65 328 | 96.68 263 | 99.56 251 | 99.37 221 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| agg_prior2 | | | | | | | | | | | | | | | 92.50 407 | 99.16 329 | 99.37 221 |
|
| AllTest | | | 98.44 181 | 98.20 204 | 99.16 114 | 99.50 126 | 98.55 103 | 98.25 159 | 99.58 81 | 96.80 312 | 98.88 215 | 99.06 177 | 97.65 150 | 99.57 360 | 94.45 357 | 99.61 233 | 99.37 221 |
|
| TestCases | | | | | 99.16 114 | 99.50 126 | 98.55 103 | | 99.58 81 | 96.80 312 | 98.88 215 | 99.06 177 | 97.65 150 | 99.57 360 | 94.45 357 | 99.61 233 | 99.37 221 |
|
| MDA-MVSNet-bldmvs | | | 97.94 241 | 97.91 242 | 98.06 288 | 99.44 153 | 94.96 326 | 96.63 343 | 99.15 264 | 98.35 171 | 98.83 223 | 99.11 167 | 94.31 310 | 99.85 154 | 96.60 269 | 98.72 369 | 99.37 221 |
|
| MVSTER | | | 96.86 324 | 96.55 331 | 97.79 304 | 97.91 401 | 94.21 348 | 97.56 272 | 98.87 308 | 97.49 254 | 99.06 169 | 99.05 184 | 80.72 427 | 99.80 224 | 98.44 126 | 99.82 120 | 99.37 221 |
|
| pmmvs5 | | | 97.64 268 | 97.49 272 | 98.08 286 | 99.14 234 | 95.12 321 | 96.70 339 | 99.05 277 | 93.77 403 | 98.62 252 | 98.83 248 | 93.23 327 | 99.75 268 | 98.33 133 | 99.76 167 | 99.36 228 |
|
| Anonymous20231206 | | | 98.21 215 | 98.21 203 | 98.20 276 | 99.51 120 | 95.43 309 | 98.13 172 | 99.32 199 | 96.16 340 | 98.93 204 | 98.82 251 | 96.00 255 | 99.83 190 | 97.32 208 | 99.73 174 | 99.36 228 |
|
| train_agg | | | 97.10 310 | 96.45 335 | 99.07 131 | 98.71 322 | 98.08 146 | 95.96 384 | 99.03 282 | 91.64 426 | 95.85 414 | 97.53 381 | 96.47 234 | 99.76 260 | 93.67 381 | 99.16 329 | 99.36 228 |
|
| PVSNet_BlendedMVS | | | 97.55 275 | 97.53 269 | 97.60 329 | 98.92 282 | 93.77 373 | 96.64 342 | 99.43 154 | 94.49 386 | 97.62 337 | 99.18 148 | 96.82 212 | 99.67 312 | 94.73 348 | 99.93 54 | 99.36 228 |
|
| Anonymous20240529 | | | 98.93 92 | 98.87 100 | 99.12 120 | 99.19 219 | 98.22 131 | 99.01 70 | 98.99 291 | 99.25 73 | 99.54 77 | 99.37 97 | 97.04 197 | 99.80 224 | 97.89 163 | 99.52 264 | 99.35 232 |
|
| F-COLMAP | | | 97.30 295 | 96.68 322 | 99.14 118 | 99.19 219 | 98.39 114 | 97.27 305 | 99.30 212 | 92.93 414 | 96.62 393 | 98.00 354 | 95.73 270 | 99.68 308 | 92.62 405 | 98.46 386 | 99.35 232 |
|
| ppachtmachnet_test | | | 97.50 276 | 97.74 252 | 96.78 379 | 98.70 326 | 91.23 421 | 94.55 435 | 99.05 277 | 96.36 331 | 99.21 153 | 98.79 256 | 96.39 237 | 99.78 248 | 96.74 256 | 99.82 120 | 99.34 234 |
|
| VDD-MVS | | | 98.56 161 | 98.39 177 | 99.07 131 | 99.13 236 | 98.07 148 | 98.59 115 | 97.01 398 | 99.59 35 | 99.11 162 | 99.27 121 | 94.82 295 | 99.79 237 | 98.34 131 | 99.63 225 | 99.34 234 |
|
| testgi | | | 98.32 199 | 98.39 177 | 98.13 282 | 99.57 93 | 95.54 298 | 97.78 235 | 99.49 122 | 97.37 268 | 99.19 155 | 97.65 375 | 98.96 29 | 99.49 387 | 96.50 283 | 98.99 351 | 99.34 234 |
|
| diffmvs |  | | 98.22 213 | 98.24 201 | 98.17 279 | 99.00 267 | 95.44 308 | 96.38 359 | 99.58 81 | 97.79 226 | 98.53 268 | 98.50 311 | 96.76 219 | 99.74 273 | 97.95 162 | 99.64 222 | 99.34 234 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| UnsupCasMVSNet_eth | | | 97.89 245 | 97.60 266 | 98.75 191 | 99.31 183 | 97.17 229 | 97.62 262 | 99.35 185 | 98.72 143 | 98.76 236 | 98.68 279 | 92.57 343 | 99.74 273 | 97.76 179 | 95.60 449 | 99.34 234 |
|
| viewmambaseed2359dif | | | 98.19 218 | 98.26 197 | 97.99 294 | 99.02 264 | 95.03 324 | 96.59 346 | 99.53 107 | 96.21 337 | 99.00 183 | 98.99 205 | 97.62 155 | 99.61 344 | 97.62 186 | 99.72 182 | 99.33 239 |
|
| baseline | | | 98.96 89 | 99.02 81 | 98.76 189 | 99.38 165 | 97.26 219 | 98.49 133 | 99.50 115 | 98.86 135 | 99.19 155 | 99.06 177 | 98.23 99 | 99.69 299 | 98.71 108 | 99.76 167 | 99.33 239 |
|
| MG-MVS | | | 96.77 328 | 96.61 327 | 97.26 354 | 98.31 379 | 93.06 385 | 95.93 387 | 98.12 368 | 96.45 329 | 97.92 316 | 98.73 265 | 93.77 323 | 99.39 407 | 91.19 426 | 99.04 343 | 99.33 239 |
|
| HQP4-MVS | | | | | | | | | | | 95.56 419 | | | 99.54 372 | | | 99.32 242 |
|
| CDS-MVSNet | | | 97.69 264 | 97.35 281 | 98.69 200 | 98.73 316 | 97.02 237 | 96.92 328 | 98.75 333 | 95.89 352 | 98.59 258 | 98.67 281 | 92.08 350 | 99.74 273 | 96.72 259 | 99.81 126 | 99.32 242 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| HQP-MVS | | | 97.00 319 | 96.49 334 | 98.55 229 | 98.67 336 | 96.79 249 | 96.29 365 | 99.04 280 | 96.05 343 | 95.55 420 | 96.84 402 | 93.84 319 | 99.54 372 | 92.82 399 | 99.26 313 | 99.32 242 |
|
| RPSCF | | | 98.62 153 | 98.36 182 | 99.42 64 | 99.65 68 | 99.42 11 | 98.55 119 | 99.57 88 | 97.72 230 | 98.90 208 | 99.26 127 | 96.12 250 | 99.52 378 | 95.72 324 | 99.71 191 | 99.32 242 |
|
| MVP-Stereo | | | 98.08 228 | 97.92 241 | 98.57 222 | 98.96 274 | 96.79 249 | 97.90 219 | 99.18 252 | 96.41 330 | 98.46 274 | 98.95 219 | 95.93 264 | 99.60 347 | 96.51 282 | 98.98 354 | 99.31 246 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| SD-MVS | | | 98.40 185 | 98.68 127 | 97.54 337 | 98.96 274 | 97.99 155 | 97.88 221 | 99.36 179 | 98.20 191 | 99.63 65 | 99.04 186 | 98.76 45 | 95.33 464 | 96.56 276 | 99.74 171 | 99.31 246 |
| 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 |
| VNet | | | 98.42 182 | 98.30 191 | 98.79 181 | 98.79 311 | 97.29 216 | 98.23 160 | 98.66 340 | 99.31 67 | 98.85 220 | 98.80 254 | 94.80 298 | 99.78 248 | 98.13 144 | 99.13 334 | 99.31 246 |
|
| test_prior | | | | | 98.95 156 | 98.69 331 | 97.95 163 | | 99.03 282 | | | | | 99.59 351 | | | 99.30 249 |
|
| USDC | | | 97.41 287 | 97.40 276 | 97.44 346 | 98.94 276 | 93.67 376 | 95.17 416 | 99.53 107 | 94.03 400 | 98.97 190 | 99.10 170 | 95.29 282 | 99.34 414 | 95.84 320 | 99.73 174 | 99.30 249 |
|
| test_fmvsm_n_1920 | | | 99.33 31 | 99.45 23 | 98.99 147 | 99.57 93 | 97.73 189 | 97.93 213 | 99.83 25 | 99.22 77 | 99.93 6 | 99.30 115 | 99.42 11 | 99.96 14 | 99.85 5 | 99.99 5 | 99.29 251 |
|
| FMVSNet2 | | | 98.49 176 | 98.40 174 | 98.75 191 | 98.90 286 | 97.14 232 | 98.61 113 | 99.13 265 | 98.59 154 | 99.19 155 | 99.28 119 | 94.14 313 | 99.82 200 | 97.97 160 | 99.80 137 | 99.29 251 |
|
| XVG-OURS-SEG-HR | | | 98.49 176 | 98.28 193 | 99.14 118 | 99.49 134 | 98.83 83 | 96.54 347 | 99.48 124 | 97.32 273 | 99.11 162 | 98.61 295 | 99.33 15 | 99.30 420 | 96.23 298 | 98.38 387 | 99.28 253 |
|
| mamba_0408 | | | 98.80 116 | 98.88 98 | 98.55 229 | 99.27 195 | 96.50 264 | 98.00 200 | 99.60 75 | 98.93 126 | 99.22 150 | 98.84 246 | 98.59 62 | 99.89 95 | 97.74 180 | 99.72 182 | 99.27 254 |
|
| SSM_04072 | | | 98.80 116 | 98.88 98 | 98.56 227 | 99.27 195 | 96.50 264 | 98.00 200 | 99.60 75 | 98.93 126 | 99.22 150 | 98.84 246 | 98.59 62 | 99.90 79 | 97.74 180 | 99.72 182 | 99.27 254 |
|
| SSM_0407 | | | 98.86 103 | 98.96 91 | 98.55 229 | 99.27 195 | 96.50 264 | 98.04 191 | 99.66 62 | 99.09 105 | 99.22 150 | 99.02 189 | 98.79 42 | 99.87 132 | 97.87 168 | 99.72 182 | 99.27 254 |
|
| test12 | | | | | 98.93 159 | 98.58 353 | 97.83 174 | | 98.66 340 | | 96.53 397 | | 95.51 277 | 99.69 299 | | 99.13 334 | 99.27 254 |
|
| DSMNet-mixed | | | 97.42 286 | 97.60 266 | 96.87 373 | 99.15 233 | 91.46 411 | 98.54 121 | 99.12 266 | 92.87 416 | 97.58 341 | 99.63 39 | 96.21 245 | 99.90 79 | 95.74 323 | 99.54 257 | 99.27 254 |
|
| N_pmnet | | | 97.63 269 | 97.17 290 | 98.99 147 | 99.27 195 | 97.86 171 | 95.98 381 | 93.41 446 | 95.25 370 | 99.47 95 | 98.90 228 | 95.63 272 | 99.85 154 | 96.91 237 | 99.73 174 | 99.27 254 |
|
| ambc | | | | | 98.24 271 | 98.82 304 | 95.97 285 | 98.62 112 | 99.00 290 | | 99.27 137 | 99.21 141 | 96.99 202 | 99.50 384 | 96.55 279 | 99.50 273 | 99.26 260 |
|
| LFMVS | | | 97.20 304 | 96.72 319 | 98.64 206 | 98.72 318 | 96.95 241 | 98.93 81 | 94.14 443 | 99.74 13 | 98.78 231 | 99.01 200 | 84.45 409 | 99.73 280 | 97.44 201 | 99.27 310 | 99.25 261 |
|
| FMVSNet5 | | | 96.01 353 | 95.20 372 | 98.41 251 | 97.53 423 | 96.10 276 | 98.74 97 | 99.50 115 | 97.22 289 | 98.03 311 | 99.04 186 | 69.80 450 | 99.88 113 | 97.27 210 | 99.71 191 | 99.25 261 |
|
| BH-RMVSNet | | | 96.83 325 | 96.58 330 | 97.58 331 | 98.47 364 | 94.05 353 | 96.67 340 | 97.36 387 | 96.70 319 | 97.87 321 | 97.98 356 | 95.14 286 | 99.44 400 | 90.47 434 | 98.58 383 | 99.25 261 |
|
| testf1 | | | 99.25 41 | 99.16 60 | 99.51 48 | 99.89 6 | 99.63 4 | 98.71 104 | 99.69 53 | 98.90 130 | 99.43 101 | 99.35 102 | 98.86 34 | 99.67 312 | 97.81 171 | 99.81 126 | 99.24 264 |
|
| APD_test2 | | | 99.25 41 | 99.16 60 | 99.51 48 | 99.89 6 | 99.63 4 | 98.71 104 | 99.69 53 | 98.90 130 | 99.43 101 | 99.35 102 | 98.86 34 | 99.67 312 | 97.81 171 | 99.81 126 | 99.24 264 |
|
| SSM_0404 | | | 98.90 96 | 99.01 83 | 98.57 222 | 99.42 159 | 96.59 258 | 98.13 172 | 99.66 62 | 99.09 105 | 99.30 133 | 99.02 189 | 98.79 42 | 99.89 95 | 97.87 168 | 99.80 137 | 99.23 266 |
|
| 旧先验1 | | | | | | 98.82 304 | 97.45 206 | | 98.76 330 | | | 98.34 328 | 95.50 278 | | | 99.01 348 | 99.23 266 |
|
| test222 | | | | | | 98.92 282 | 96.93 243 | 95.54 403 | 98.78 327 | 85.72 454 | 96.86 384 | 98.11 345 | 94.43 305 | | | 99.10 339 | 99.23 266 |
|
| XVG-ACMP-BASELINE | | | 98.56 161 | 98.34 185 | 99.22 105 | 99.54 112 | 98.59 100 | 97.71 247 | 99.46 136 | 97.25 280 | 98.98 186 | 98.99 205 | 97.54 163 | 99.84 172 | 95.88 314 | 99.74 171 | 99.23 266 |
|
| FMVSNet3 | | | 97.50 276 | 97.24 287 | 98.29 266 | 98.08 394 | 95.83 290 | 97.86 225 | 98.91 301 | 97.89 218 | 98.95 196 | 98.95 219 | 87.06 388 | 99.81 216 | 97.77 175 | 99.69 201 | 99.23 266 |
|
| icg_test_0407_2 | | | 98.20 217 | 98.38 179 | 97.65 322 | 99.03 259 | 94.03 356 | 95.78 396 | 99.45 140 | 98.16 197 | 99.06 169 | 98.71 268 | 98.27 93 | 99.68 308 | 97.50 196 | 99.45 280 | 99.22 271 |
|
| IMVS_0407 | | | 98.39 191 | 98.64 133 | 97.66 320 | 99.03 259 | 94.03 356 | 98.10 179 | 99.45 140 | 98.16 197 | 99.06 169 | 98.71 268 | 98.27 93 | 99.71 288 | 97.50 196 | 99.45 280 | 99.22 271 |
|
| IMVS_0404 | | | 98.07 229 | 98.20 204 | 97.69 317 | 99.03 259 | 94.03 356 | 96.67 340 | 99.45 140 | 98.16 197 | 98.03 311 | 98.71 268 | 96.80 215 | 99.82 200 | 97.50 196 | 99.45 280 | 99.22 271 |
|
| IMVS_0403 | | | 98.34 194 | 98.56 147 | 97.66 320 | 99.03 259 | 94.03 356 | 97.98 208 | 99.45 140 | 98.16 197 | 98.89 211 | 98.71 268 | 97.90 130 | 99.74 273 | 97.50 196 | 99.45 280 | 99.22 271 |
|
| æ— å…ˆéªŒ | | | | | | | | 95.74 398 | 98.74 335 | 89.38 445 | | | | 99.73 280 | 92.38 409 | | 99.22 271 |
|
| tttt0517 | | | 95.64 366 | 94.98 376 | 97.64 325 | 99.36 172 | 93.81 371 | 98.72 102 | 90.47 457 | 98.08 204 | 98.67 245 | 98.34 328 | 73.88 445 | 99.92 63 | 97.77 175 | 99.51 266 | 99.20 276 |
|
| pmmvs-eth3d | | | 98.47 178 | 98.34 185 | 98.86 169 | 99.30 187 | 97.76 185 | 97.16 315 | 99.28 224 | 95.54 361 | 99.42 105 | 99.19 144 | 97.27 185 | 99.63 334 | 97.89 163 | 99.97 21 | 99.20 276 |
|
| MS-PatchMatch | | | 97.68 265 | 97.75 251 | 97.45 345 | 98.23 385 | 93.78 372 | 97.29 302 | 98.84 317 | 96.10 342 | 98.64 249 | 98.65 286 | 96.04 252 | 99.36 410 | 96.84 248 | 99.14 332 | 99.20 276 |
|
| æ–°å‡ ä½•1 | | | | | 98.91 163 | 98.94 276 | 97.76 185 | | 98.76 330 | 87.58 451 | 96.75 389 | 98.10 346 | 94.80 298 | 99.78 248 | 92.73 403 | 99.00 349 | 99.20 276 |
|
| PHI-MVS | | | 98.29 205 | 97.95 236 | 99.34 79 | 98.44 369 | 99.16 48 | 98.12 176 | 99.38 171 | 96.01 347 | 98.06 307 | 98.43 318 | 97.80 140 | 99.67 312 | 95.69 326 | 99.58 244 | 99.20 276 |
|
| GDP-MVS | | | 97.50 276 | 97.11 295 | 98.67 203 | 99.02 264 | 96.85 246 | 98.16 169 | 99.71 47 | 98.32 175 | 98.52 270 | 98.54 302 | 83.39 418 | 99.95 26 | 98.79 99 | 99.56 251 | 99.19 281 |
|
| Anonymous202405211 | | | 97.90 243 | 97.50 271 | 99.08 129 | 98.90 286 | 98.25 125 | 98.53 122 | 96.16 416 | 98.87 133 | 99.11 162 | 98.86 238 | 90.40 367 | 99.78 248 | 97.36 205 | 99.31 303 | 99.19 281 |
|
| CANet | | | 97.87 249 | 97.76 250 | 98.19 278 | 97.75 407 | 95.51 300 | 96.76 335 | 99.05 277 | 97.74 228 | 96.93 375 | 98.21 338 | 95.59 274 | 99.89 95 | 97.86 170 | 99.93 54 | 99.19 281 |
|
| XVG-OURS | | | 98.53 169 | 98.34 185 | 99.11 122 | 99.50 126 | 98.82 85 | 95.97 382 | 99.50 115 | 97.30 275 | 99.05 176 | 98.98 210 | 99.35 14 | 99.32 417 | 95.72 324 | 99.68 206 | 99.18 284 |
|
| WTY-MVS | | | 96.67 331 | 96.27 341 | 97.87 299 | 98.81 307 | 94.61 338 | 96.77 334 | 97.92 373 | 94.94 378 | 97.12 366 | 97.74 370 | 91.11 360 | 99.82 200 | 93.89 375 | 98.15 399 | 99.18 284 |
|
| Vis-MVSNet (Re-imp) | | | 97.46 281 | 97.16 291 | 98.34 261 | 99.55 107 | 96.10 276 | 98.94 80 | 98.44 352 | 98.32 175 | 98.16 297 | 98.62 293 | 88.76 378 | 99.73 280 | 93.88 376 | 99.79 143 | 99.18 284 |
|
| TinyColmap | | | 97.89 245 | 97.98 232 | 97.60 329 | 98.86 295 | 94.35 344 | 96.21 369 | 99.44 148 | 97.45 262 | 99.06 169 | 98.88 235 | 97.99 125 | 99.28 424 | 94.38 363 | 99.58 244 | 99.18 284 |
|
| testdata | | | | | 98.09 283 | 98.93 278 | 95.40 310 | | 98.80 324 | 90.08 442 | 97.45 354 | 98.37 324 | 95.26 283 | 99.70 295 | 93.58 384 | 98.95 357 | 99.17 288 |
|
| lupinMVS | | | 97.06 313 | 96.86 309 | 97.65 322 | 98.88 292 | 93.89 369 | 95.48 407 | 97.97 371 | 93.53 406 | 98.16 297 | 97.58 379 | 93.81 321 | 99.91 72 | 96.77 253 | 99.57 248 | 99.17 288 |
|
| Patchmtry | | | 97.35 291 | 96.97 301 | 98.50 242 | 97.31 434 | 96.47 267 | 98.18 165 | 98.92 299 | 98.95 125 | 98.78 231 | 99.37 97 | 85.44 403 | 99.85 154 | 95.96 312 | 99.83 116 | 99.17 288 |
|
| SD_0403 | | | 96.28 345 | 95.83 346 | 97.64 325 | 98.72 318 | 94.30 345 | 98.87 88 | 98.77 328 | 97.80 224 | 96.53 397 | 98.02 353 | 97.34 180 | 99.47 393 | 76.93 462 | 99.48 276 | 99.16 291 |
|
| RRT-MVS | | | 97.88 247 | 97.98 232 | 97.61 328 | 98.15 389 | 93.77 373 | 98.97 76 | 99.64 67 | 99.16 90 | 98.69 242 | 99.42 87 | 91.60 353 | 99.89 95 | 97.63 185 | 98.52 385 | 99.16 291 |
|
| sss | | | 97.21 303 | 96.93 303 | 98.06 288 | 98.83 301 | 95.22 317 | 96.75 336 | 98.48 351 | 94.49 386 | 97.27 363 | 97.90 362 | 92.77 339 | 99.80 224 | 96.57 272 | 99.32 301 | 99.16 291 |
|
| CSCG | | | 98.68 141 | 98.50 156 | 99.20 106 | 99.45 151 | 98.63 95 | 98.56 118 | 99.57 88 | 97.87 219 | 98.85 220 | 98.04 352 | 97.66 149 | 99.84 172 | 96.72 259 | 99.81 126 | 99.13 294 |
|
| MVS_111021_LR | | | 98.30 202 | 98.12 217 | 98.83 172 | 99.16 229 | 98.03 153 | 96.09 378 | 99.30 212 | 97.58 242 | 98.10 304 | 98.24 335 | 98.25 97 | 99.34 414 | 96.69 262 | 99.65 220 | 99.12 295 |
|
| miper_lstm_enhance | | | 97.18 306 | 97.16 291 | 97.25 355 | 98.16 388 | 92.85 390 | 95.15 418 | 99.31 204 | 97.25 280 | 98.74 239 | 98.78 258 | 90.07 368 | 99.78 248 | 97.19 214 | 99.80 137 | 99.11 296 |
|
| testing3 | | | 93.51 402 | 92.09 413 | 97.75 310 | 98.60 348 | 94.40 342 | 97.32 299 | 95.26 431 | 97.56 245 | 96.79 388 | 95.50 430 | 53.57 470 | 99.77 254 | 95.26 337 | 98.97 355 | 99.08 297 |
|
| 原ACMM1 | | | | | 98.35 260 | 98.90 286 | 96.25 274 | | 98.83 321 | 92.48 420 | 96.07 411 | 98.10 346 | 95.39 281 | 99.71 288 | 92.61 406 | 98.99 351 | 99.08 297 |
|
| QAPM | | | 97.31 294 | 96.81 315 | 98.82 174 | 98.80 310 | 97.49 201 | 99.06 65 | 99.19 248 | 90.22 440 | 97.69 334 | 99.16 154 | 96.91 206 | 99.90 79 | 90.89 431 | 99.41 289 | 99.07 299 |
|
| PAPM_NR | | | 96.82 327 | 96.32 338 | 98.30 265 | 99.07 247 | 96.69 256 | 97.48 282 | 98.76 330 | 95.81 354 | 96.61 394 | 96.47 411 | 94.12 316 | 99.17 431 | 90.82 432 | 97.78 412 | 99.06 300 |
|
| eth_miper_zixun_eth | | | 97.23 302 | 97.25 286 | 97.17 358 | 98.00 397 | 92.77 392 | 94.71 427 | 99.18 252 | 97.27 278 | 98.56 263 | 98.74 264 | 91.89 351 | 99.69 299 | 97.06 227 | 99.81 126 | 99.05 301 |
|
| D2MVS | | | 97.84 256 | 97.84 247 | 97.83 301 | 99.14 234 | 94.74 332 | 96.94 324 | 98.88 306 | 95.84 353 | 98.89 211 | 98.96 215 | 94.40 307 | 99.69 299 | 97.55 191 | 99.95 38 | 99.05 301 |
|
| c3_l | | | 97.36 290 | 97.37 279 | 97.31 350 | 98.09 393 | 93.25 383 | 95.01 421 | 99.16 259 | 97.05 297 | 98.77 234 | 98.72 267 | 92.88 336 | 99.64 331 | 96.93 236 | 99.76 167 | 99.05 301 |
|
| PLC |  | 94.65 16 | 96.51 336 | 95.73 349 | 98.85 170 | 98.75 314 | 97.91 167 | 96.42 357 | 99.06 274 | 90.94 437 | 95.59 417 | 97.38 391 | 94.41 306 | 99.59 351 | 90.93 429 | 98.04 408 | 99.05 301 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| tfpnnormal | | | 98.90 96 | 98.90 95 | 98.91 163 | 99.67 65 | 97.82 179 | 99.00 72 | 99.44 148 | 99.45 49 | 99.51 88 | 99.24 134 | 98.20 105 | 99.86 141 | 95.92 313 | 99.69 201 | 99.04 305 |
|
| CANet_DTU | | | 97.26 298 | 97.06 297 | 97.84 300 | 97.57 418 | 94.65 337 | 96.19 371 | 98.79 325 | 97.23 286 | 95.14 429 | 98.24 335 | 93.22 328 | 99.84 172 | 97.34 206 | 99.84 109 | 99.04 305 |
|
| PM-MVS | | | 98.82 112 | 98.72 118 | 99.12 120 | 99.64 74 | 98.54 106 | 97.98 208 | 99.68 58 | 97.62 236 | 99.34 122 | 99.18 148 | 97.54 163 | 99.77 254 | 97.79 173 | 99.74 171 | 99.04 305 |
|
| TSAR-MVS + GP. | | | 98.18 220 | 97.98 232 | 98.77 188 | 98.71 322 | 97.88 169 | 96.32 363 | 98.66 340 | 96.33 332 | 99.23 149 | 98.51 307 | 97.48 173 | 99.40 405 | 97.16 216 | 99.46 278 | 99.02 308 |
|
| DIV-MVS_self_test | | | 97.02 316 | 96.84 311 | 97.58 331 | 97.82 405 | 94.03 356 | 94.66 430 | 99.16 259 | 97.04 298 | 98.63 250 | 98.71 268 | 88.69 379 | 99.69 299 | 97.00 229 | 99.81 126 | 99.01 309 |
|
| mamv4 | | | 99.44 19 | 99.39 28 | 99.58 20 | 99.30 187 | 99.74 2 | 99.04 68 | 99.81 31 | 99.77 10 | 99.82 33 | 99.57 49 | 97.82 138 | 99.98 4 | 99.53 46 | 99.89 89 | 99.01 309 |
|
| GA-MVS | | | 95.86 358 | 95.32 368 | 97.49 342 | 98.60 348 | 94.15 351 | 93.83 447 | 97.93 372 | 95.49 363 | 96.68 390 | 97.42 389 | 83.21 419 | 99.30 420 | 96.22 299 | 98.55 384 | 99.01 309 |
|
| OMC-MVS | | | 97.88 247 | 97.49 272 | 99.04 140 | 98.89 291 | 98.63 95 | 96.94 324 | 99.25 233 | 95.02 375 | 98.53 268 | 98.51 307 | 97.27 185 | 99.47 393 | 93.50 387 | 99.51 266 | 99.01 309 |
|
| cl____ | | | 97.02 316 | 96.83 312 | 97.58 331 | 97.82 405 | 94.04 355 | 94.66 430 | 99.16 259 | 97.04 298 | 98.63 250 | 98.71 268 | 88.68 381 | 99.69 299 | 97.00 229 | 99.81 126 | 99.00 313 |
|
| pmmvs4 | | | 97.58 273 | 97.28 284 | 98.51 238 | 98.84 299 | 96.93 243 | 95.40 411 | 98.52 349 | 93.60 405 | 98.61 254 | 98.65 286 | 95.10 287 | 99.60 347 | 96.97 234 | 99.79 143 | 98.99 314 |
|
| EPNet_dtu | | | 94.93 381 | 94.78 381 | 95.38 417 | 93.58 465 | 87.68 444 | 96.78 333 | 95.69 428 | 97.35 270 | 89.14 462 | 98.09 348 | 88.15 386 | 99.49 387 | 94.95 344 | 99.30 306 | 98.98 315 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| 114514_t | | | 96.50 338 | 95.77 347 | 98.69 200 | 99.48 142 | 97.43 208 | 97.84 228 | 99.55 99 | 81.42 460 | 96.51 400 | 98.58 299 | 95.53 275 | 99.67 312 | 93.41 389 | 99.58 244 | 98.98 315 |
|
| PVSNet_Blended | | | 96.88 323 | 96.68 322 | 97.47 344 | 98.92 282 | 93.77 373 | 94.71 427 | 99.43 154 | 90.98 436 | 97.62 337 | 97.36 393 | 96.82 212 | 99.67 312 | 94.73 348 | 99.56 251 | 98.98 315 |
|
| APD_test1 | | | 98.83 109 | 98.66 130 | 99.34 79 | 99.78 24 | 99.47 9 | 98.42 144 | 99.45 140 | 98.28 182 | 98.98 186 | 99.19 144 | 97.76 143 | 99.58 358 | 96.57 272 | 99.55 255 | 98.97 318 |
|
| PAPR | | | 95.29 372 | 94.47 383 | 97.75 310 | 97.50 429 | 95.14 320 | 94.89 424 | 98.71 338 | 91.39 432 | 95.35 427 | 95.48 432 | 94.57 303 | 99.14 434 | 84.95 450 | 97.37 425 | 98.97 318 |
|
| EGC-MVSNET | | | 85.24 429 | 80.54 432 | 99.34 79 | 99.77 27 | 99.20 39 | 99.08 61 | 99.29 220 | 12.08 467 | 20.84 468 | 99.42 87 | 97.55 162 | 99.85 154 | 97.08 224 | 99.72 182 | 98.96 320 |
|
| thisisatest0530 | | | 95.27 373 | 94.45 384 | 97.74 312 | 99.19 219 | 94.37 343 | 97.86 225 | 90.20 458 | 97.17 291 | 98.22 292 | 97.65 375 | 73.53 446 | 99.90 79 | 96.90 242 | 99.35 297 | 98.95 321 |
|
| mvs_anonymous | | | 97.83 258 | 98.16 213 | 96.87 373 | 98.18 387 | 91.89 406 | 97.31 300 | 98.90 302 | 97.37 268 | 98.83 223 | 99.46 79 | 96.28 243 | 99.79 237 | 98.90 92 | 98.16 398 | 98.95 321 |
|
| baseline1 | | | 95.96 356 | 95.44 362 | 97.52 339 | 98.51 362 | 93.99 363 | 98.39 146 | 96.09 419 | 98.21 187 | 98.40 283 | 97.76 369 | 86.88 389 | 99.63 334 | 95.42 334 | 89.27 462 | 98.95 321 |
|
| CLD-MVS | | | 97.49 279 | 97.16 291 | 98.48 243 | 99.07 247 | 97.03 236 | 94.71 427 | 99.21 242 | 94.46 388 | 98.06 307 | 97.16 397 | 97.57 160 | 99.48 390 | 94.46 356 | 99.78 148 | 98.95 321 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| MSLP-MVS++ | | | 98.02 233 | 98.14 216 | 97.64 325 | 98.58 353 | 95.19 318 | 97.48 282 | 99.23 240 | 97.47 255 | 97.90 318 | 98.62 293 | 97.04 197 | 98.81 445 | 97.55 191 | 99.41 289 | 98.94 325 |
|
| DELS-MVS | | | 98.27 206 | 98.20 204 | 98.48 243 | 98.86 295 | 96.70 255 | 95.60 402 | 99.20 244 | 97.73 229 | 98.45 275 | 98.71 268 | 97.50 169 | 99.82 200 | 98.21 139 | 99.59 239 | 98.93 326 |
| 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 |
| cl22 | | | 95.79 361 | 95.39 365 | 96.98 367 | 96.77 446 | 92.79 391 | 94.40 438 | 98.53 348 | 94.59 385 | 97.89 319 | 98.17 341 | 82.82 423 | 99.24 426 | 96.37 290 | 99.03 344 | 98.92 327 |
|
| LS3D | | | 98.63 150 | 98.38 179 | 99.36 70 | 97.25 435 | 99.38 13 | 99.12 60 | 99.32 199 | 99.21 79 | 98.44 276 | 98.88 235 | 97.31 181 | 99.80 224 | 96.58 270 | 99.34 299 | 98.92 327 |
|
| CMPMVS |  | 75.91 23 | 96.29 344 | 95.44 362 | 98.84 171 | 96.25 456 | 98.69 94 | 97.02 319 | 99.12 266 | 88.90 447 | 97.83 325 | 98.86 238 | 89.51 374 | 98.90 443 | 91.92 410 | 99.51 266 | 98.92 327 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| LCM-MVSNet-Re | | | 98.64 148 | 98.48 162 | 99.11 122 | 98.85 298 | 98.51 108 | 98.49 133 | 99.83 25 | 98.37 169 | 99.69 54 | 99.46 79 | 98.21 104 | 99.92 63 | 94.13 369 | 99.30 306 | 98.91 330 |
|
| mvsmamba | | | 97.57 274 | 97.26 285 | 98.51 238 | 98.69 331 | 96.73 254 | 98.74 97 | 97.25 392 | 97.03 300 | 97.88 320 | 99.23 139 | 90.95 361 | 99.87 132 | 96.61 268 | 99.00 349 | 98.91 330 |
|
| DPM-MVS | | | 96.32 343 | 95.59 356 | 98.51 238 | 98.76 312 | 97.21 224 | 94.54 436 | 98.26 360 | 91.94 425 | 96.37 404 | 97.25 395 | 93.06 333 | 99.43 401 | 91.42 421 | 98.74 367 | 98.89 332 |
|
| test_yl | | | 96.69 329 | 96.29 339 | 97.90 296 | 98.28 380 | 95.24 315 | 97.29 302 | 97.36 387 | 98.21 187 | 98.17 294 | 97.86 363 | 86.27 393 | 99.55 367 | 94.87 345 | 98.32 388 | 98.89 332 |
|
| DCV-MVSNet | | | 96.69 329 | 96.29 339 | 97.90 296 | 98.28 380 | 95.24 315 | 97.29 302 | 97.36 387 | 98.21 187 | 98.17 294 | 97.86 363 | 86.27 393 | 99.55 367 | 94.87 345 | 98.32 388 | 98.89 332 |
|
| SPE-MVS-test | | | 99.13 64 | 99.09 73 | 99.26 97 | 99.13 236 | 98.97 73 | 99.31 30 | 99.88 14 | 99.44 51 | 98.16 297 | 98.51 307 | 98.64 56 | 99.93 52 | 98.91 91 | 99.85 104 | 98.88 335 |
|
| UnsupCasMVSNet_bld | | | 97.30 295 | 96.92 305 | 98.45 246 | 99.28 192 | 96.78 252 | 96.20 370 | 99.27 227 | 95.42 365 | 98.28 289 | 98.30 332 | 93.16 329 | 99.71 288 | 94.99 341 | 97.37 425 | 98.87 336 |
|
| Effi-MVS+ | | | 98.02 233 | 97.82 248 | 98.62 212 | 98.53 360 | 97.19 226 | 97.33 298 | 99.68 58 | 97.30 275 | 96.68 390 | 97.46 387 | 98.56 68 | 99.80 224 | 96.63 266 | 98.20 394 | 98.86 337 |
|
| test_0402 | | | 98.76 124 | 98.71 121 | 98.93 159 | 99.56 101 | 98.14 137 | 98.45 140 | 99.34 191 | 99.28 71 | 98.95 196 | 98.91 225 | 98.34 87 | 99.79 237 | 95.63 328 | 99.91 76 | 98.86 337 |
|
| PatchmatchNet |  | | 95.58 367 | 95.67 352 | 95.30 418 | 97.34 433 | 87.32 446 | 97.65 257 | 96.65 408 | 95.30 369 | 97.07 369 | 98.69 277 | 84.77 406 | 99.75 268 | 94.97 343 | 98.64 378 | 98.83 339 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| testing3-2 | | | 93.78 398 | 93.91 390 | 93.39 439 | 98.82 304 | 81.72 466 | 97.76 241 | 95.28 430 | 98.60 153 | 96.54 396 | 96.66 406 | 65.85 462 | 99.62 337 | 96.65 265 | 98.99 351 | 98.82 340 |
|
| test_vis1_rt | | | 97.75 260 | 97.72 255 | 97.83 301 | 98.81 307 | 96.35 271 | 97.30 301 | 99.69 53 | 94.61 384 | 97.87 321 | 98.05 351 | 96.26 244 | 98.32 452 | 98.74 105 | 98.18 395 | 98.82 340 |
|
| CL-MVSNet_self_test | | | 97.44 284 | 97.22 288 | 98.08 286 | 98.57 355 | 95.78 293 | 94.30 440 | 98.79 325 | 96.58 323 | 98.60 256 | 98.19 340 | 94.74 301 | 99.64 331 | 96.41 288 | 98.84 362 | 98.82 340 |
|
| miper_ehance_all_eth | | | 97.06 313 | 97.03 298 | 97.16 360 | 97.83 404 | 93.06 385 | 94.66 430 | 99.09 271 | 95.99 348 | 98.69 242 | 98.45 316 | 92.73 341 | 99.61 344 | 96.79 250 | 99.03 344 | 98.82 340 |
|
| MIMVSNet | | | 96.62 334 | 96.25 342 | 97.71 316 | 99.04 256 | 94.66 336 | 99.16 54 | 96.92 404 | 97.23 286 | 97.87 321 | 99.10 170 | 86.11 397 | 99.65 328 | 91.65 416 | 99.21 322 | 98.82 340 |
|
| hse-mvs2 | | | 97.46 281 | 97.07 296 | 98.64 206 | 98.73 316 | 97.33 212 | 97.45 286 | 97.64 383 | 99.11 95 | 98.58 260 | 97.98 356 | 88.65 382 | 99.79 237 | 98.11 145 | 97.39 424 | 98.81 345 |
|
| GSMVS | | | | | | | | | | | | | | | | | 98.81 345 |
|
| sam_mvs1 | | | | | | | | | | | | | 84.74 407 | | | | 98.81 345 |
|
| SCA | | | 96.41 342 | 96.66 325 | 95.67 408 | 98.24 383 | 88.35 440 | 95.85 393 | 96.88 405 | 96.11 341 | 97.67 335 | 98.67 281 | 93.10 331 | 99.85 154 | 94.16 365 | 99.22 319 | 98.81 345 |
|
| Patchmatch-RL test | | | 97.26 298 | 97.02 299 | 97.99 294 | 99.52 118 | 95.53 299 | 96.13 376 | 99.71 47 | 97.47 255 | 99.27 137 | 99.16 154 | 84.30 412 | 99.62 337 | 97.89 163 | 99.77 154 | 98.81 345 |
|
| AUN-MVS | | | 96.24 349 | 95.45 361 | 98.60 217 | 98.70 326 | 97.22 222 | 97.38 291 | 97.65 381 | 95.95 350 | 95.53 424 | 97.96 360 | 82.11 426 | 99.79 237 | 96.31 294 | 97.44 421 | 98.80 350 |
|
| ITE_SJBPF | | | | | 98.87 167 | 99.22 210 | 98.48 110 | | 99.35 185 | 97.50 252 | 98.28 289 | 98.60 297 | 97.64 153 | 99.35 413 | 93.86 377 | 99.27 310 | 98.79 351 |
|
| tpm | | | 94.67 383 | 94.34 387 | 95.66 409 | 97.68 416 | 88.42 439 | 97.88 221 | 94.90 433 | 94.46 388 | 96.03 413 | 98.56 301 | 78.66 437 | 99.79 237 | 95.88 314 | 95.01 452 | 98.78 352 |
|
| Patchmatch-test | | | 96.55 335 | 96.34 337 | 97.17 358 | 98.35 376 | 93.06 385 | 98.40 145 | 97.79 374 | 97.33 271 | 98.41 279 | 98.67 281 | 83.68 417 | 99.69 299 | 95.16 339 | 99.31 303 | 98.77 353 |
|
| EC-MVSNet | | | 99.09 70 | 99.05 77 | 99.20 106 | 99.28 192 | 98.93 79 | 99.24 44 | 99.84 22 | 99.08 109 | 98.12 302 | 98.37 324 | 98.72 49 | 99.90 79 | 99.05 82 | 99.77 154 | 98.77 353 |
|
| PMMVS | | | 96.51 336 | 95.98 343 | 98.09 283 | 97.53 423 | 95.84 289 | 94.92 423 | 98.84 317 | 91.58 428 | 96.05 412 | 95.58 427 | 95.68 271 | 99.66 323 | 95.59 330 | 98.09 402 | 98.76 355 |
|
| test_method | | | 79.78 430 | 79.50 433 | 80.62 446 | 80.21 471 | 45.76 474 | 70.82 462 | 98.41 356 | 31.08 466 | 80.89 466 | 97.71 371 | 84.85 405 | 97.37 459 | 91.51 420 | 80.03 463 | 98.75 356 |
|
| ab-mvs | | | 98.41 183 | 98.36 182 | 98.59 218 | 99.19 219 | 97.23 220 | 99.32 26 | 98.81 322 | 97.66 233 | 98.62 252 | 99.40 94 | 96.82 212 | 99.80 224 | 95.88 314 | 99.51 266 | 98.75 356 |
|
| CHOSEN 280x420 | | | 95.51 370 | 95.47 359 | 95.65 410 | 98.25 382 | 88.27 441 | 93.25 451 | 98.88 306 | 93.53 406 | 94.65 435 | 97.15 398 | 86.17 395 | 99.93 52 | 97.41 203 | 99.93 54 | 98.73 358 |
|
| test_fmvsmvis_n_1920 | | | 99.26 40 | 99.49 16 | 98.54 234 | 99.66 67 | 96.97 238 | 98.00 200 | 99.85 18 | 99.24 74 | 99.92 8 | 99.50 67 | 99.39 12 | 99.95 26 | 99.89 3 | 99.98 12 | 98.71 359 |
|
| MVS_Test | | | 98.18 220 | 98.36 182 | 97.67 318 | 98.48 363 | 94.73 333 | 98.18 165 | 99.02 285 | 97.69 231 | 98.04 310 | 99.11 167 | 97.22 189 | 99.56 363 | 98.57 117 | 98.90 361 | 98.71 359 |
|
| PVSNet | | 93.40 17 | 95.67 364 | 95.70 350 | 95.57 411 | 98.83 301 | 88.57 438 | 92.50 454 | 97.72 376 | 92.69 418 | 96.49 403 | 96.44 412 | 93.72 324 | 99.43 401 | 93.61 382 | 99.28 309 | 98.71 359 |
|
| alignmvs | | | 97.35 291 | 96.88 308 | 98.78 184 | 98.54 358 | 98.09 142 | 97.71 247 | 97.69 378 | 99.20 81 | 97.59 340 | 95.90 422 | 88.12 387 | 99.55 367 | 98.18 141 | 98.96 356 | 98.70 362 |
|
| ADS-MVSNet2 | | | 95.43 371 | 94.98 376 | 96.76 380 | 98.14 390 | 91.74 407 | 97.92 216 | 97.76 375 | 90.23 438 | 96.51 400 | 98.91 225 | 85.61 400 | 99.85 154 | 92.88 397 | 96.90 434 | 98.69 363 |
|
| ADS-MVSNet | | | 95.24 374 | 94.93 379 | 96.18 397 | 98.14 390 | 90.10 433 | 97.92 216 | 97.32 390 | 90.23 438 | 96.51 400 | 98.91 225 | 85.61 400 | 99.74 273 | 92.88 397 | 96.90 434 | 98.69 363 |
|
| MDTV_nov1_ep13_2view | | | | | | | 74.92 470 | 97.69 250 | | 90.06 443 | 97.75 331 | | 85.78 399 | | 93.52 385 | | 98.69 363 |
|
| MSDG | | | 97.71 263 | 97.52 270 | 98.28 267 | 98.91 285 | 96.82 247 | 94.42 437 | 99.37 175 | 97.65 234 | 98.37 284 | 98.29 333 | 97.40 176 | 99.33 416 | 94.09 370 | 99.22 319 | 98.68 366 |
|
| mvsany_test1 | | | 97.60 270 | 97.54 268 | 97.77 306 | 97.72 408 | 95.35 311 | 95.36 412 | 97.13 396 | 94.13 397 | 99.71 48 | 99.33 109 | 97.93 128 | 99.30 420 | 97.60 189 | 98.94 358 | 98.67 367 |
|
| CS-MVS | | | 99.13 64 | 99.10 71 | 99.24 102 | 99.06 252 | 99.15 52 | 99.36 22 | 99.88 14 | 99.36 62 | 98.21 293 | 98.46 315 | 98.68 53 | 99.93 52 | 99.03 84 | 99.85 104 | 98.64 368 |
|
| Syy-MVS | | | 96.04 352 | 95.56 358 | 97.49 342 | 97.10 439 | 94.48 340 | 96.18 373 | 96.58 410 | 95.65 357 | 94.77 432 | 92.29 461 | 91.27 359 | 99.36 410 | 98.17 143 | 98.05 406 | 98.63 369 |
|
| myMVS_eth3d | | | 91.92 425 | 90.45 427 | 96.30 390 | 97.10 439 | 90.90 425 | 96.18 373 | 96.58 410 | 95.65 357 | 94.77 432 | 92.29 461 | 53.88 469 | 99.36 410 | 89.59 438 | 98.05 406 | 98.63 369 |
|
| balanced_conf03 | | | 98.63 150 | 98.72 118 | 98.38 255 | 98.66 341 | 96.68 257 | 98.90 83 | 99.42 160 | 98.99 118 | 98.97 190 | 99.19 144 | 95.81 268 | 99.85 154 | 98.77 103 | 99.77 154 | 98.60 371 |
|
| miper_enhance_ethall | | | 96.01 353 | 95.74 348 | 96.81 377 | 96.41 454 | 92.27 403 | 93.69 449 | 98.89 305 | 91.14 435 | 98.30 285 | 97.35 394 | 90.58 365 | 99.58 358 | 96.31 294 | 99.03 344 | 98.60 371 |
|
| Effi-MVS+-dtu | | | 98.26 208 | 97.90 243 | 99.35 76 | 98.02 396 | 99.49 6 | 98.02 196 | 99.16 259 | 98.29 180 | 97.64 336 | 97.99 355 | 96.44 236 | 99.95 26 | 96.66 264 | 98.93 359 | 98.60 371 |
|
| new_pmnet | | | 96.99 320 | 96.76 317 | 97.67 318 | 98.72 318 | 94.89 327 | 95.95 386 | 98.20 363 | 92.62 419 | 98.55 265 | 98.54 302 | 94.88 294 | 99.52 378 | 93.96 373 | 99.44 287 | 98.59 374 |
|
| MVSMamba_PlusPlus | | | 98.83 109 | 98.98 88 | 98.36 259 | 99.32 182 | 96.58 261 | 98.90 83 | 99.41 164 | 99.75 11 | 98.72 240 | 99.50 67 | 96.17 246 | 99.94 41 | 99.27 63 | 99.78 148 | 98.57 375 |
|
| testing91 | | | 93.32 405 | 92.27 410 | 96.47 386 | 97.54 421 | 91.25 419 | 96.17 375 | 96.76 407 | 97.18 290 | 93.65 449 | 93.50 453 | 65.11 464 | 99.63 334 | 93.04 394 | 97.45 420 | 98.53 376 |
|
| EIA-MVS | | | 98.00 236 | 97.74 252 | 98.80 178 | 98.72 318 | 98.09 142 | 98.05 189 | 99.60 75 | 97.39 266 | 96.63 392 | 95.55 428 | 97.68 147 | 99.80 224 | 96.73 258 | 99.27 310 | 98.52 377 |
|
| PatchMatch-RL | | | 97.24 301 | 96.78 316 | 98.61 215 | 99.03 259 | 97.83 174 | 96.36 360 | 99.06 274 | 93.49 408 | 97.36 361 | 97.78 367 | 95.75 269 | 99.49 387 | 93.44 388 | 98.77 366 | 98.52 377 |
|
| sasdasda | | | 98.34 194 | 98.26 197 | 98.58 219 | 98.46 366 | 97.82 179 | 98.96 77 | 99.46 136 | 99.19 85 | 97.46 352 | 95.46 433 | 98.59 62 | 99.46 396 | 98.08 148 | 98.71 371 | 98.46 379 |
|
| ET-MVSNet_ETH3D | | | 94.30 389 | 93.21 400 | 97.58 331 | 98.14 390 | 94.47 341 | 94.78 426 | 93.24 448 | 94.72 382 | 89.56 460 | 95.87 423 | 78.57 439 | 99.81 216 | 96.91 237 | 97.11 433 | 98.46 379 |
|
| canonicalmvs | | | 98.34 194 | 98.26 197 | 98.58 219 | 98.46 366 | 97.82 179 | 98.96 77 | 99.46 136 | 99.19 85 | 97.46 352 | 95.46 433 | 98.59 62 | 99.46 396 | 98.08 148 | 98.71 371 | 98.46 379 |
|
| UBG | | | 93.25 407 | 92.32 408 | 96.04 402 | 97.72 408 | 90.16 432 | 95.92 389 | 95.91 423 | 96.03 346 | 93.95 446 | 93.04 457 | 69.60 451 | 99.52 378 | 90.72 433 | 97.98 409 | 98.45 382 |
|
| tt0805 | | | 98.69 136 | 98.62 137 | 98.90 166 | 99.75 34 | 99.30 22 | 99.15 56 | 96.97 400 | 98.86 135 | 98.87 219 | 97.62 378 | 98.63 58 | 98.96 439 | 99.41 55 | 98.29 391 | 98.45 382 |
|
| TAPA-MVS | | 96.21 11 | 96.63 333 | 95.95 344 | 98.65 204 | 98.93 278 | 98.09 142 | 96.93 326 | 99.28 224 | 83.58 457 | 98.13 301 | 97.78 367 | 96.13 248 | 99.40 405 | 93.52 385 | 99.29 308 | 98.45 382 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| MGCFI-Net | | | 98.34 194 | 98.28 193 | 98.51 238 | 98.47 364 | 97.59 197 | 98.96 77 | 99.48 124 | 99.18 88 | 97.40 357 | 95.50 430 | 98.66 54 | 99.50 384 | 98.18 141 | 98.71 371 | 98.44 385 |
|
| BH-untuned | | | 96.83 325 | 96.75 318 | 97.08 361 | 98.74 315 | 93.33 382 | 96.71 338 | 98.26 360 | 96.72 317 | 98.44 276 | 97.37 392 | 95.20 284 | 99.47 393 | 91.89 411 | 97.43 422 | 98.44 385 |
|
| WB-MVSnew | | | 95.73 363 | 95.57 357 | 96.23 395 | 96.70 447 | 90.70 429 | 96.07 379 | 93.86 444 | 95.60 359 | 97.04 371 | 95.45 436 | 96.00 255 | 99.55 367 | 91.04 427 | 98.31 390 | 98.43 387 |
|
| pmmvs3 | | | 95.03 378 | 94.40 385 | 96.93 369 | 97.70 413 | 92.53 396 | 95.08 419 | 97.71 377 | 88.57 448 | 97.71 332 | 98.08 349 | 79.39 434 | 99.82 200 | 96.19 301 | 99.11 338 | 98.43 387 |
|
| DP-MVS Recon | | | 97.33 293 | 96.92 305 | 98.57 222 | 99.09 243 | 97.99 155 | 96.79 332 | 99.35 185 | 93.18 410 | 97.71 332 | 98.07 350 | 95.00 290 | 99.31 418 | 93.97 372 | 99.13 334 | 98.42 389 |
|
| testing99 | | | 93.04 411 | 91.98 418 | 96.23 395 | 97.53 423 | 90.70 429 | 96.35 361 | 95.94 422 | 96.87 309 | 93.41 450 | 93.43 455 | 63.84 466 | 99.59 351 | 93.24 392 | 97.19 430 | 98.40 390 |
|
| ETVMVS | | | 92.60 416 | 91.08 425 | 97.18 356 | 97.70 413 | 93.65 378 | 96.54 347 | 95.70 426 | 96.51 324 | 94.68 434 | 92.39 460 | 61.80 467 | 99.50 384 | 86.97 445 | 97.41 423 | 98.40 390 |
|
| Fast-Effi-MVS+-dtu | | | 98.27 206 | 98.09 219 | 98.81 176 | 98.43 370 | 98.11 139 | 97.61 266 | 99.50 115 | 98.64 146 | 97.39 359 | 97.52 383 | 98.12 114 | 99.95 26 | 96.90 242 | 98.71 371 | 98.38 392 |
|
| LF4IMVS | | | 97.90 243 | 97.69 257 | 98.52 237 | 99.17 227 | 97.66 192 | 97.19 314 | 99.47 132 | 96.31 334 | 97.85 324 | 98.20 339 | 96.71 223 | 99.52 378 | 94.62 351 | 99.72 182 | 98.38 392 |
|
| testing11 | | | 93.08 410 | 92.02 415 | 96.26 393 | 97.56 419 | 90.83 427 | 96.32 363 | 95.70 426 | 96.47 328 | 92.66 453 | 93.73 450 | 64.36 465 | 99.59 351 | 93.77 380 | 97.57 416 | 98.37 394 |
|
| Fast-Effi-MVS+ | | | 97.67 266 | 97.38 278 | 98.57 222 | 98.71 322 | 97.43 208 | 97.23 306 | 99.45 140 | 94.82 381 | 96.13 408 | 96.51 408 | 98.52 70 | 99.91 72 | 96.19 301 | 98.83 363 | 98.37 394 |
|
| test0.0.03 1 | | | 94.51 384 | 93.69 394 | 96.99 366 | 96.05 457 | 93.61 380 | 94.97 422 | 93.49 445 | 96.17 338 | 97.57 343 | 94.88 443 | 82.30 424 | 99.01 438 | 93.60 383 | 94.17 456 | 98.37 394 |
|
| UWE-MVS | | | 92.38 419 | 91.76 422 | 94.21 429 | 97.16 437 | 84.65 455 | 95.42 410 | 88.45 461 | 95.96 349 | 96.17 407 | 95.84 425 | 66.36 458 | 99.71 288 | 91.87 412 | 98.64 378 | 98.28 397 |
|
| FE-MVS | | | 95.66 365 | 94.95 378 | 97.77 306 | 98.53 360 | 95.28 314 | 99.40 19 | 96.09 419 | 93.11 412 | 97.96 315 | 99.26 127 | 79.10 436 | 99.77 254 | 92.40 408 | 98.71 371 | 98.27 398 |
|
| baseline2 | | | 93.73 399 | 92.83 405 | 96.42 387 | 97.70 413 | 91.28 418 | 96.84 331 | 89.77 459 | 93.96 402 | 92.44 454 | 95.93 421 | 79.14 435 | 99.77 254 | 92.94 395 | 96.76 438 | 98.21 399 |
|
| thisisatest0515 | | | 94.12 393 | 93.16 401 | 96.97 368 | 98.60 348 | 92.90 389 | 93.77 448 | 90.61 456 | 94.10 398 | 96.91 378 | 95.87 423 | 74.99 444 | 99.80 224 | 94.52 354 | 99.12 337 | 98.20 400 |
|
| EPMVS | | | 93.72 400 | 93.27 399 | 95.09 421 | 96.04 458 | 87.76 443 | 98.13 172 | 85.01 466 | 94.69 383 | 96.92 376 | 98.64 289 | 78.47 441 | 99.31 418 | 95.04 340 | 96.46 440 | 98.20 400 |
|
| dp | | | 93.47 403 | 93.59 396 | 93.13 442 | 96.64 448 | 81.62 467 | 97.66 255 | 96.42 413 | 92.80 417 | 96.11 409 | 98.64 289 | 78.55 440 | 99.59 351 | 93.31 390 | 92.18 461 | 98.16 402 |
|
| CNLPA | | | 97.17 307 | 96.71 320 | 98.55 229 | 98.56 356 | 98.05 152 | 96.33 362 | 98.93 296 | 96.91 307 | 97.06 370 | 97.39 390 | 94.38 308 | 99.45 398 | 91.66 415 | 99.18 328 | 98.14 403 |
|
| dmvs_re | | | 95.98 355 | 95.39 365 | 97.74 312 | 98.86 295 | 97.45 206 | 98.37 148 | 95.69 428 | 97.95 211 | 96.56 395 | 95.95 420 | 90.70 364 | 97.68 458 | 88.32 441 | 96.13 445 | 98.11 404 |
|
| HY-MVS | | 95.94 13 | 95.90 357 | 95.35 367 | 97.55 336 | 97.95 398 | 94.79 329 | 98.81 96 | 96.94 403 | 92.28 423 | 95.17 428 | 98.57 300 | 89.90 370 | 99.75 268 | 91.20 425 | 97.33 429 | 98.10 405 |
|
| CostFormer | | | 93.97 395 | 93.78 393 | 94.51 425 | 97.53 423 | 85.83 451 | 97.98 208 | 95.96 421 | 89.29 446 | 94.99 431 | 98.63 291 | 78.63 438 | 99.62 337 | 94.54 353 | 96.50 439 | 98.09 406 |
|
| FA-MVS(test-final) | | | 96.99 320 | 96.82 313 | 97.50 341 | 98.70 326 | 94.78 330 | 99.34 23 | 96.99 399 | 95.07 374 | 98.48 273 | 99.33 109 | 88.41 385 | 99.65 328 | 96.13 307 | 98.92 360 | 98.07 407 |
|
| AdaColmap |  | | 97.14 309 | 96.71 320 | 98.46 245 | 98.34 377 | 97.80 183 | 96.95 323 | 98.93 296 | 95.58 360 | 96.92 376 | 97.66 374 | 95.87 266 | 99.53 374 | 90.97 428 | 99.14 332 | 98.04 408 |
|
| KD-MVS_2432*1600 | | | 92.87 414 | 91.99 416 | 95.51 413 | 91.37 467 | 89.27 436 | 94.07 442 | 98.14 366 | 95.42 365 | 97.25 364 | 96.44 412 | 67.86 453 | 99.24 426 | 91.28 423 | 96.08 446 | 98.02 409 |
|
| miper_refine_blended | | | 92.87 414 | 91.99 416 | 95.51 413 | 91.37 467 | 89.27 436 | 94.07 442 | 98.14 366 | 95.42 365 | 97.25 364 | 96.44 412 | 67.86 453 | 99.24 426 | 91.28 423 | 96.08 446 | 98.02 409 |
|
| TESTMET0.1,1 | | | 92.19 423 | 91.77 421 | 93.46 437 | 96.48 452 | 82.80 463 | 94.05 444 | 91.52 455 | 94.45 390 | 94.00 444 | 94.88 443 | 66.65 457 | 99.56 363 | 95.78 322 | 98.11 401 | 98.02 409 |
|
| testing222 | | | 91.96 424 | 90.37 428 | 96.72 381 | 97.47 430 | 92.59 394 | 96.11 377 | 94.76 434 | 96.83 311 | 92.90 452 | 92.87 458 | 57.92 468 | 99.55 367 | 86.93 446 | 97.52 417 | 98.00 412 |
|
| PCF-MVS | | 92.86 18 | 94.36 386 | 93.00 404 | 98.42 250 | 98.70 326 | 97.56 198 | 93.16 452 | 99.11 268 | 79.59 461 | 97.55 344 | 97.43 388 | 92.19 347 | 99.73 280 | 79.85 459 | 99.45 280 | 97.97 413 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| UWE-MVS-28 | | | 90.22 428 | 89.28 431 | 93.02 443 | 94.50 464 | 82.87 462 | 96.52 350 | 87.51 462 | 95.21 372 | 92.36 455 | 96.04 417 | 71.57 448 | 98.25 454 | 72.04 464 | 97.77 413 | 97.94 414 |
|
| myMVS_eth3d28 | | | 92.92 413 | 92.31 409 | 94.77 422 | 97.84 403 | 87.59 445 | 96.19 371 | 96.11 418 | 97.08 296 | 94.27 438 | 93.49 454 | 66.07 461 | 98.78 446 | 91.78 413 | 97.93 411 | 97.92 415 |
|
| OpenMVS |  | 96.65 7 | 97.09 311 | 96.68 322 | 98.32 262 | 98.32 378 | 97.16 230 | 98.86 91 | 99.37 175 | 89.48 444 | 96.29 406 | 99.15 158 | 96.56 230 | 99.90 79 | 92.90 396 | 99.20 323 | 97.89 416 |
|
| Gipuma |  | | 99.03 78 | 99.16 60 | 98.64 206 | 99.94 2 | 98.51 108 | 99.32 26 | 99.75 42 | 99.58 37 | 98.60 256 | 99.62 40 | 98.22 102 | 99.51 383 | 97.70 182 | 99.73 174 | 97.89 416 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| PVSNet_0 | | 89.98 21 | 91.15 427 | 90.30 430 | 93.70 435 | 97.72 408 | 84.34 459 | 90.24 458 | 97.42 385 | 90.20 441 | 93.79 447 | 93.09 456 | 90.90 363 | 98.89 444 | 86.57 448 | 72.76 465 | 97.87 418 |
|
| test-LLR | | | 93.90 396 | 93.85 391 | 94.04 430 | 96.53 450 | 84.62 456 | 94.05 444 | 92.39 450 | 96.17 338 | 94.12 441 | 95.07 437 | 82.30 424 | 99.67 312 | 95.87 317 | 98.18 395 | 97.82 419 |
|
| test-mter | | | 92.33 421 | 91.76 422 | 94.04 430 | 96.53 450 | 84.62 456 | 94.05 444 | 92.39 450 | 94.00 401 | 94.12 441 | 95.07 437 | 65.63 463 | 99.67 312 | 95.87 317 | 98.18 395 | 97.82 419 |
|
| tpm2 | | | 93.09 409 | 92.58 407 | 94.62 424 | 97.56 419 | 86.53 448 | 97.66 255 | 95.79 425 | 86.15 453 | 94.07 443 | 98.23 337 | 75.95 442 | 99.53 374 | 90.91 430 | 96.86 437 | 97.81 421 |
|
| CR-MVSNet | | | 96.28 345 | 95.95 344 | 97.28 352 | 97.71 411 | 94.22 346 | 98.11 177 | 98.92 299 | 92.31 422 | 96.91 378 | 99.37 97 | 85.44 403 | 99.81 216 | 97.39 204 | 97.36 427 | 97.81 421 |
|
| RPMNet | | | 97.02 316 | 96.93 303 | 97.30 351 | 97.71 411 | 94.22 346 | 98.11 177 | 99.30 212 | 99.37 59 | 96.91 378 | 99.34 106 | 86.72 390 | 99.87 132 | 97.53 194 | 97.36 427 | 97.81 421 |
|
| tpmrst | | | 95.07 377 | 95.46 360 | 93.91 432 | 97.11 438 | 84.36 458 | 97.62 262 | 96.96 401 | 94.98 376 | 96.35 405 | 98.80 254 | 85.46 402 | 99.59 351 | 95.60 329 | 96.23 443 | 97.79 424 |
|
| PAPM | | | 91.88 426 | 90.34 429 | 96.51 384 | 98.06 395 | 92.56 395 | 92.44 455 | 97.17 394 | 86.35 452 | 90.38 459 | 96.01 418 | 86.61 391 | 99.21 429 | 70.65 465 | 95.43 450 | 97.75 425 |
|
| FPMVS | | | 93.44 404 | 92.23 411 | 97.08 361 | 99.25 204 | 97.86 171 | 95.61 401 | 97.16 395 | 92.90 415 | 93.76 448 | 98.65 286 | 75.94 443 | 95.66 462 | 79.30 460 | 97.49 418 | 97.73 426 |
|
| MAR-MVS | | | 96.47 340 | 95.70 350 | 98.79 181 | 97.92 400 | 99.12 62 | 98.28 154 | 98.60 345 | 92.16 424 | 95.54 423 | 96.17 416 | 94.77 300 | 99.52 378 | 89.62 437 | 98.23 392 | 97.72 427 |
| 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 |
| ETV-MVS | | | 98.03 232 | 97.86 246 | 98.56 227 | 98.69 331 | 98.07 148 | 97.51 279 | 99.50 115 | 98.10 203 | 97.50 349 | 95.51 429 | 98.41 78 | 99.88 113 | 96.27 297 | 99.24 315 | 97.71 428 |
|
| thres600view7 | | | 94.45 385 | 93.83 392 | 96.29 391 | 99.06 252 | 91.53 410 | 97.99 207 | 94.24 441 | 98.34 172 | 97.44 355 | 95.01 439 | 79.84 430 | 99.67 312 | 84.33 451 | 98.23 392 | 97.66 429 |
|
| thres400 | | | 94.14 392 | 93.44 397 | 96.24 394 | 98.93 278 | 91.44 413 | 97.60 267 | 94.29 439 | 97.94 213 | 97.10 367 | 94.31 448 | 79.67 432 | 99.62 337 | 83.05 453 | 98.08 403 | 97.66 429 |
|
| IB-MVS | | 91.63 19 | 92.24 422 | 90.90 426 | 96.27 392 | 97.22 436 | 91.24 420 | 94.36 439 | 93.33 447 | 92.37 421 | 92.24 456 | 94.58 447 | 66.20 460 | 99.89 95 | 93.16 393 | 94.63 454 | 97.66 429 |
| 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 |
| tpmvs | | | 95.02 379 | 95.25 369 | 94.33 426 | 96.39 455 | 85.87 449 | 98.08 182 | 96.83 406 | 95.46 364 | 95.51 425 | 98.69 277 | 85.91 398 | 99.53 374 | 94.16 365 | 96.23 443 | 97.58 432 |
|
| cascas | | | 94.79 382 | 94.33 388 | 96.15 401 | 96.02 459 | 92.36 401 | 92.34 456 | 99.26 232 | 85.34 455 | 95.08 430 | 94.96 442 | 92.96 335 | 98.53 450 | 94.41 362 | 98.59 382 | 97.56 433 |
|
| PatchT | | | 96.65 332 | 96.35 336 | 97.54 337 | 97.40 431 | 95.32 313 | 97.98 208 | 96.64 409 | 99.33 64 | 96.89 382 | 99.42 87 | 84.32 411 | 99.81 216 | 97.69 184 | 97.49 418 | 97.48 434 |
|
| TR-MVS | | | 95.55 368 | 95.12 374 | 96.86 376 | 97.54 421 | 93.94 364 | 96.49 352 | 96.53 412 | 94.36 393 | 97.03 373 | 96.61 407 | 94.26 312 | 99.16 432 | 86.91 447 | 96.31 442 | 97.47 435 |
|
| dmvs_testset | | | 92.94 412 | 92.21 412 | 95.13 419 | 98.59 351 | 90.99 424 | 97.65 257 | 92.09 452 | 96.95 303 | 94.00 444 | 93.55 452 | 92.34 345 | 96.97 461 | 72.20 463 | 92.52 459 | 97.43 436 |
|
| MonoMVSNet | | | 96.25 347 | 96.53 333 | 95.39 416 | 96.57 449 | 91.01 423 | 98.82 95 | 97.68 380 | 98.57 158 | 98.03 311 | 99.37 97 | 90.92 362 | 97.78 457 | 94.99 341 | 93.88 457 | 97.38 437 |
|
| JIA-IIPM | | | 95.52 369 | 95.03 375 | 97.00 365 | 96.85 444 | 94.03 356 | 96.93 326 | 95.82 424 | 99.20 81 | 94.63 436 | 99.71 22 | 83.09 420 | 99.60 347 | 94.42 359 | 94.64 453 | 97.36 438 |
|
| BH-w/o | | | 95.13 376 | 94.89 380 | 95.86 403 | 98.20 386 | 91.31 416 | 95.65 400 | 97.37 386 | 93.64 404 | 96.52 399 | 95.70 426 | 93.04 334 | 99.02 436 | 88.10 442 | 95.82 448 | 97.24 439 |
|
| tpm cat1 | | | 93.29 406 | 93.13 403 | 93.75 434 | 97.39 432 | 84.74 454 | 97.39 290 | 97.65 381 | 83.39 458 | 94.16 440 | 98.41 319 | 82.86 422 | 99.39 407 | 91.56 419 | 95.35 451 | 97.14 440 |
|
| xiu_mvs_v1_base_debu | | | 97.86 250 | 98.17 210 | 96.92 370 | 98.98 271 | 93.91 366 | 96.45 353 | 99.17 256 | 97.85 221 | 98.41 279 | 97.14 399 | 98.47 72 | 99.92 63 | 98.02 154 | 99.05 340 | 96.92 441 |
|
| xiu_mvs_v1_base | | | 97.86 250 | 98.17 210 | 96.92 370 | 98.98 271 | 93.91 366 | 96.45 353 | 99.17 256 | 97.85 221 | 98.41 279 | 97.14 399 | 98.47 72 | 99.92 63 | 98.02 154 | 99.05 340 | 96.92 441 |
|
| xiu_mvs_v1_base_debi | | | 97.86 250 | 98.17 210 | 96.92 370 | 98.98 271 | 93.91 366 | 96.45 353 | 99.17 256 | 97.85 221 | 98.41 279 | 97.14 399 | 98.47 72 | 99.92 63 | 98.02 154 | 99.05 340 | 96.92 441 |
|
| PMVS |  | 91.26 20 | 97.86 250 | 97.94 238 | 97.65 322 | 99.71 47 | 97.94 164 | 98.52 123 | 98.68 339 | 98.99 118 | 97.52 347 | 99.35 102 | 97.41 175 | 98.18 455 | 91.59 418 | 99.67 212 | 96.82 444 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| 1314 | | | 95.74 362 | 95.60 354 | 96.17 398 | 97.53 423 | 92.75 393 | 98.07 186 | 98.31 359 | 91.22 433 | 94.25 439 | 96.68 405 | 95.53 275 | 99.03 435 | 91.64 417 | 97.18 431 | 96.74 445 |
|
| MVS-HIRNet | | | 94.32 387 | 95.62 353 | 90.42 445 | 98.46 366 | 75.36 469 | 96.29 365 | 89.13 460 | 95.25 370 | 95.38 426 | 99.75 16 | 92.88 336 | 99.19 430 | 94.07 371 | 99.39 291 | 96.72 446 |
|
| OpenMVS_ROB |  | 95.38 14 | 95.84 360 | 95.18 373 | 97.81 303 | 98.41 374 | 97.15 231 | 97.37 295 | 98.62 344 | 83.86 456 | 98.65 248 | 98.37 324 | 94.29 311 | 99.68 308 | 88.41 440 | 98.62 381 | 96.60 447 |
|
| thres100view900 | | | 94.19 390 | 93.67 395 | 95.75 407 | 99.06 252 | 91.35 415 | 98.03 193 | 94.24 441 | 98.33 173 | 97.40 357 | 94.98 441 | 79.84 430 | 99.62 337 | 83.05 453 | 98.08 403 | 96.29 448 |
|
| tfpn200view9 | | | 94.03 394 | 93.44 397 | 95.78 406 | 98.93 278 | 91.44 413 | 97.60 267 | 94.29 439 | 97.94 213 | 97.10 367 | 94.31 448 | 79.67 432 | 99.62 337 | 83.05 453 | 98.08 403 | 96.29 448 |
|
| MVS | | | 93.19 408 | 92.09 413 | 96.50 385 | 96.91 442 | 94.03 356 | 98.07 186 | 98.06 370 | 68.01 463 | 94.56 437 | 96.48 410 | 95.96 262 | 99.30 420 | 83.84 452 | 96.89 436 | 96.17 450 |
|
| gg-mvs-nofinetune | | | 92.37 420 | 91.20 424 | 95.85 404 | 95.80 461 | 92.38 400 | 99.31 30 | 81.84 468 | 99.75 11 | 91.83 457 | 99.74 18 | 68.29 452 | 99.02 436 | 87.15 444 | 97.12 432 | 96.16 451 |
|
| xiu_mvs_v2_base | | | 97.16 308 | 97.49 272 | 96.17 398 | 98.54 358 | 92.46 397 | 95.45 408 | 98.84 317 | 97.25 280 | 97.48 351 | 96.49 409 | 98.31 89 | 99.90 79 | 96.34 293 | 98.68 376 | 96.15 452 |
|
| PS-MVSNAJ | | | 97.08 312 | 97.39 277 | 96.16 400 | 98.56 356 | 92.46 397 | 95.24 415 | 98.85 316 | 97.25 280 | 97.49 350 | 95.99 419 | 98.07 116 | 99.90 79 | 96.37 290 | 98.67 377 | 96.12 453 |
|
| E-PMN | | | 94.17 391 | 94.37 386 | 93.58 436 | 96.86 443 | 85.71 452 | 90.11 460 | 97.07 397 | 98.17 194 | 97.82 327 | 97.19 396 | 84.62 408 | 98.94 440 | 89.77 436 | 97.68 415 | 96.09 454 |
|
| EMVS | | | 93.83 397 | 94.02 389 | 93.23 441 | 96.83 445 | 84.96 453 | 89.77 461 | 96.32 414 | 97.92 215 | 97.43 356 | 96.36 415 | 86.17 395 | 98.93 441 | 87.68 443 | 97.73 414 | 95.81 455 |
|
| MVE |  | 83.40 22 | 92.50 417 | 91.92 419 | 94.25 427 | 98.83 301 | 91.64 409 | 92.71 453 | 83.52 467 | 95.92 351 | 86.46 465 | 95.46 433 | 95.20 284 | 95.40 463 | 80.51 458 | 98.64 378 | 95.73 456 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| thres200 | | | 93.72 400 | 93.14 402 | 95.46 415 | 98.66 341 | 91.29 417 | 96.61 344 | 94.63 436 | 97.39 266 | 96.83 385 | 93.71 451 | 79.88 429 | 99.56 363 | 82.40 456 | 98.13 400 | 95.54 457 |
|
| API-MVS | | | 97.04 315 | 96.91 307 | 97.42 347 | 97.88 402 | 98.23 130 | 98.18 165 | 98.50 350 | 97.57 243 | 97.39 359 | 96.75 404 | 96.77 217 | 99.15 433 | 90.16 435 | 99.02 347 | 94.88 458 |
|
| GG-mvs-BLEND | | | | | 94.76 423 | 94.54 463 | 92.13 405 | 99.31 30 | 80.47 469 | | 88.73 463 | 91.01 463 | 67.59 456 | 98.16 456 | 82.30 457 | 94.53 455 | 93.98 459 |
|
| DeepMVS_CX |  | | | | 93.44 438 | 98.24 383 | 94.21 348 | | 94.34 438 | 64.28 464 | 91.34 458 | 94.87 445 | 89.45 376 | 92.77 465 | 77.54 461 | 93.14 458 | 93.35 460 |
|
| tmp_tt | | | 78.77 431 | 78.73 434 | 78.90 447 | 58.45 472 | 74.76 471 | 94.20 441 | 78.26 470 | 39.16 465 | 86.71 464 | 92.82 459 | 80.50 428 | 75.19 467 | 86.16 449 | 92.29 460 | 86.74 461 |
|
| dongtai | | | 76.24 432 | 75.95 435 | 77.12 448 | 92.39 466 | 67.91 472 | 90.16 459 | 59.44 473 | 82.04 459 | 89.42 461 | 94.67 446 | 49.68 471 | 81.74 466 | 48.06 466 | 77.66 464 | 81.72 462 |
|
| kuosan | | | 69.30 433 | 68.95 436 | 70.34 449 | 87.68 470 | 65.00 473 | 91.11 457 | 59.90 472 | 69.02 462 | 74.46 467 | 88.89 464 | 48.58 472 | 68.03 468 | 28.61 467 | 72.33 466 | 77.99 463 |
|
| wuyk23d | | | 96.06 351 | 97.62 265 | 91.38 444 | 98.65 345 | 98.57 102 | 98.85 92 | 96.95 402 | 96.86 310 | 99.90 14 | 99.16 154 | 99.18 19 | 98.40 451 | 89.23 439 | 99.77 154 | 77.18 464 |
|
| test123 | | | 17.04 436 | 20.11 439 | 7.82 450 | 10.25 474 | 4.91 475 | 94.80 425 | 4.47 475 | 4.93 468 | 10.00 470 | 24.28 467 | 9.69 473 | 3.64 469 | 10.14 468 | 12.43 468 | 14.92 465 |
|
| testmvs | | | 17.12 435 | 20.53 438 | 6.87 451 | 12.05 473 | 4.20 476 | 93.62 450 | 6.73 474 | 4.62 469 | 10.41 469 | 24.33 466 | 8.28 474 | 3.56 470 | 9.69 469 | 15.07 467 | 12.86 466 |
|
| mmdepth | | | 0.00 439 | 0.00 442 | 0.00 452 | 0.00 475 | 0.00 477 | 0.00 463 | 0.00 476 | 0.00 470 | 0.00 471 | 0.00 470 | 0.00 475 | 0.00 471 | 0.00 470 | 0.00 469 | 0.00 467 |
|
| monomultidepth | | | 0.00 439 | 0.00 442 | 0.00 452 | 0.00 475 | 0.00 477 | 0.00 463 | 0.00 476 | 0.00 470 | 0.00 471 | 0.00 470 | 0.00 475 | 0.00 471 | 0.00 470 | 0.00 469 | 0.00 467 |
|
| test_blank | | | 0.00 439 | 0.00 442 | 0.00 452 | 0.00 475 | 0.00 477 | 0.00 463 | 0.00 476 | 0.00 470 | 0.00 471 | 0.00 470 | 0.00 475 | 0.00 471 | 0.00 470 | 0.00 469 | 0.00 467 |
|
| uanet_test | | | 0.00 439 | 0.00 442 | 0.00 452 | 0.00 475 | 0.00 477 | 0.00 463 | 0.00 476 | 0.00 470 | 0.00 471 | 0.00 470 | 0.00 475 | 0.00 471 | 0.00 470 | 0.00 469 | 0.00 467 |
|
| DCPMVS | | | 0.00 439 | 0.00 442 | 0.00 452 | 0.00 475 | 0.00 477 | 0.00 463 | 0.00 476 | 0.00 470 | 0.00 471 | 0.00 470 | 0.00 475 | 0.00 471 | 0.00 470 | 0.00 469 | 0.00 467 |
|
| cdsmvs_eth3d_5k | | | 24.66 434 | 32.88 437 | 0.00 452 | 0.00 475 | 0.00 477 | 0.00 463 | 99.10 269 | 0.00 470 | 0.00 471 | 97.58 379 | 99.21 18 | 0.00 471 | 0.00 470 | 0.00 469 | 0.00 467 |
|
| pcd_1.5k_mvsjas | | | 8.17 437 | 10.90 440 | 0.00 452 | 0.00 475 | 0.00 477 | 0.00 463 | 0.00 476 | 0.00 470 | 0.00 471 | 0.00 470 | 98.07 116 | 0.00 471 | 0.00 470 | 0.00 469 | 0.00 467 |
|
| sosnet-low-res | | | 0.00 439 | 0.00 442 | 0.00 452 | 0.00 475 | 0.00 477 | 0.00 463 | 0.00 476 | 0.00 470 | 0.00 471 | 0.00 470 | 0.00 475 | 0.00 471 | 0.00 470 | 0.00 469 | 0.00 467 |
|
| sosnet | | | 0.00 439 | 0.00 442 | 0.00 452 | 0.00 475 | 0.00 477 | 0.00 463 | 0.00 476 | 0.00 470 | 0.00 471 | 0.00 470 | 0.00 475 | 0.00 471 | 0.00 470 | 0.00 469 | 0.00 467 |
|
| uncertanet | | | 0.00 439 | 0.00 442 | 0.00 452 | 0.00 475 | 0.00 477 | 0.00 463 | 0.00 476 | 0.00 470 | 0.00 471 | 0.00 470 | 0.00 475 | 0.00 471 | 0.00 470 | 0.00 469 | 0.00 467 |
|
| Regformer | | | 0.00 439 | 0.00 442 | 0.00 452 | 0.00 475 | 0.00 477 | 0.00 463 | 0.00 476 | 0.00 470 | 0.00 471 | 0.00 470 | 0.00 475 | 0.00 471 | 0.00 470 | 0.00 469 | 0.00 467 |
|
| ab-mvs-re | | | 8.12 438 | 10.83 441 | 0.00 452 | 0.00 475 | 0.00 477 | 0.00 463 | 0.00 476 | 0.00 470 | 0.00 471 | 97.48 385 | 0.00 475 | 0.00 471 | 0.00 470 | 0.00 469 | 0.00 467 |
|
| uanet | | | 0.00 439 | 0.00 442 | 0.00 452 | 0.00 475 | 0.00 477 | 0.00 463 | 0.00 476 | 0.00 470 | 0.00 471 | 0.00 470 | 0.00 475 | 0.00 471 | 0.00 470 | 0.00 469 | 0.00 467 |
|
| WAC-MVS | | | | | | | 90.90 425 | | | | | | | | 91.37 422 | | |
|
| FOURS1 | | | | | | 99.73 37 | 99.67 3 | 99.43 15 | 99.54 104 | 99.43 53 | 99.26 141 | | | | | | |
|
| test_one_0601 | | | | | | 99.39 164 | 99.20 39 | | 99.31 204 | 98.49 164 | 98.66 247 | 99.02 189 | 97.64 153 | | | | |
|
| eth-test2 | | | | | | 0.00 475 | | | | | | | | | | | |
|
| eth-test | | | | | | 0.00 475 | | | | | | | | | | | |
|
| ZD-MVS | | | | | | 99.01 266 | 98.84 82 | | 99.07 273 | 94.10 398 | 98.05 309 | 98.12 344 | 96.36 241 | 99.86 141 | 92.70 404 | 99.19 326 | |
|
| test_241102_ONE | | | | | | 99.49 134 | 99.17 44 | | 99.31 204 | 97.98 208 | 99.66 59 | 98.90 228 | 98.36 82 | 99.48 390 | | | |
|
| 9.14 | | | | 97.78 249 | | 99.07 247 | | 97.53 276 | 99.32 199 | 95.53 362 | 98.54 267 | 98.70 275 | 97.58 159 | 99.76 260 | 94.32 364 | 99.46 278 | |
|
| save fliter | | | | | | 99.11 238 | 97.97 159 | 96.53 349 | 99.02 285 | 98.24 183 | | | | | | | |
|
| test0726 | | | | | | 99.50 126 | 99.21 33 | 98.17 168 | 99.35 185 | 97.97 209 | 99.26 141 | 99.06 177 | 97.61 157 | | | | |
|
| test_part2 | | | | | | 99.36 172 | 99.10 65 | | | | 99.05 176 | | | | | | |
|
| sam_mvs | | | | | | | | | | | | | 84.29 413 | | | | |
|
| MTGPA |  | | | | | | | | 99.20 244 | | | | | | | | |
|
| test_post1 | | | | | | | | 97.59 269 | | | | 20.48 469 | 83.07 421 | 99.66 323 | 94.16 365 | | |
|
| test_post | | | | | | | | | | | | 21.25 468 | 83.86 416 | 99.70 295 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 98.77 260 | 84.37 410 | 99.85 154 | | | |
|
| MTMP | | | | | | | | 97.93 213 | 91.91 454 | | | | | | | | |
|
| gm-plane-assit | | | | | | 94.83 462 | 81.97 465 | | | 88.07 450 | | 94.99 440 | | 99.60 347 | 91.76 414 | | |
|
| TEST9 | | | | | | 98.71 322 | 98.08 146 | 95.96 384 | 99.03 282 | 91.40 431 | 95.85 414 | 97.53 381 | 96.52 232 | 99.76 260 | | | |
|
| test_8 | | | | | | 98.67 336 | 98.01 154 | 95.91 390 | 99.02 285 | 91.64 426 | 95.79 416 | 97.50 384 | 96.47 234 | 99.76 260 | | | |
|
| agg_prior | | | | | | 98.68 335 | 97.99 155 | | 99.01 288 | | 95.59 417 | | | 99.77 254 | | | |
|
| test_prior4 | | | | | | | 97.97 159 | 95.86 391 | | | | | | | | | |
|
| test_prior2 | | | | | | | | 95.74 398 | | 96.48 327 | 96.11 409 | 97.63 377 | 95.92 265 | | 94.16 365 | 99.20 323 | |
|
| 旧先验2 | | | | | | | | 95.76 397 | | 88.56 449 | 97.52 347 | | | 99.66 323 | 94.48 355 | | |
|
| æ–°å‡ ä½•2 | | | | | | | | 95.93 387 | | | | | | | | | |
|
| 原ACMM2 | | | | | | | | 95.53 404 | | | | | | | | | |
|
| testdata2 | | | | | | | | | | | | | | 99.79 237 | 92.80 401 | | |
|
| segment_acmp | | | | | | | | | | | | | 97.02 200 | | | | |
|
| testdata1 | | | | | | | | 95.44 409 | | 96.32 333 | | | | | | | |
|
| plane_prior7 | | | | | | 99.19 219 | 97.87 170 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 98.99 270 | 97.70 191 | | | | | | 94.90 291 | | | | |
|
| plane_prior4 | | | | | | | | | | | | 97.98 356 | | | | | |
|
| plane_prior3 | | | | | | | 97.78 184 | | | 97.41 264 | 97.79 328 | | | | | | |
|
| plane_prior2 | | | | | | | | 97.77 238 | | 98.20 191 | | | | | | | |
|
| plane_prior1 | | | | | | 99.05 255 | | | | | | | | | | | |
|
| plane_prior | | | | | | | 97.65 193 | 97.07 318 | | 96.72 317 | | | | | | 99.36 295 | |
|
| n2 | | | | | | | | | 0.00 476 | | | | | | | | |
|
| nn | | | | | | | | | 0.00 476 | | | | | | | | |
|
| door-mid | | | | | | | | | 99.57 88 | | | | | | | | |
|
| test11 | | | | | | | | | 98.87 308 | | | | | | | | |
|
| door | | | | | | | | | 99.41 164 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 96.79 249 | | | | | | | | | | |
|
| HQP-NCC | | | | | | 98.67 336 | | 96.29 365 | | 96.05 343 | 95.55 420 | | | | | | |
|
| ACMP_Plane | | | | | | 98.67 336 | | 96.29 365 | | 96.05 343 | 95.55 420 | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 92.82 399 | | |
|
| HQP3-MVS | | | | | | | | | 99.04 280 | | | | | | | 99.26 313 | |
|
| HQP2-MVS | | | | | | | | | | | | | 93.84 319 | | | | |
|
| NP-MVS | | | | | | 98.84 299 | 97.39 210 | | | | | 96.84 402 | | | | | |
|
| MDTV_nov1_ep13 | | | | 95.22 371 | | 97.06 441 | 83.20 461 | 97.74 244 | 96.16 416 | 94.37 392 | 96.99 374 | 98.83 248 | 83.95 415 | 99.53 374 | 93.90 374 | 97.95 410 | |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 99.77 154 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 99.68 206 | |
|
| Test By Simon | | | | | | | | | | | | | 96.52 232 | | | | |
|