| CS-MVS | | | 99.50 31 | 99.48 22 | 99.54 125 | 99.76 82 | 99.42 118 | 99.90 1 | 99.55 100 | 98.56 118 | 99.78 81 | 99.70 216 | 98.65 74 | 99.79 245 | 99.65 41 | 99.78 134 | 99.41 264 |
|
| mmtdpeth | | | 96.95 381 | 96.71 380 | 97.67 405 | 99.33 291 | 94.90 432 | 99.89 2 | 99.28 347 | 98.15 175 | 99.72 102 | 98.57 437 | 86.56 443 | 99.90 148 | 99.82 29 | 89.02 464 | 98.20 436 |
|
| SPE-MVS-test | | | 99.49 33 | 99.48 22 | 99.54 125 | 99.78 70 | 99.30 138 | 99.89 2 | 99.58 78 | 98.56 118 | 99.73 97 | 99.69 227 | 98.55 81 | 99.82 227 | 99.69 35 | 99.85 94 | 99.48 243 |
|
| MVSFormer | | | 99.17 109 | 99.12 97 | 99.29 207 | 99.51 229 | 98.94 197 | 99.88 4 | 99.46 238 | 97.55 277 | 99.80 74 | 99.65 248 | 97.39 125 | 99.28 366 | 99.03 134 | 99.85 94 | 99.65 175 |
|
| test_djsdf | | | 98.67 214 | 98.57 215 | 98.98 245 | 98.70 421 | 98.91 204 | 99.88 4 | 99.46 238 | 97.55 277 | 99.22 258 | 99.88 57 | 95.73 223 | 99.28 366 | 99.03 134 | 97.62 325 | 98.75 335 |
|
| OurMVSNet-221017-0 | | | 97.88 297 | 97.77 288 | 98.19 360 | 98.71 420 | 96.53 381 | 99.88 4 | 99.00 394 | 97.79 247 | 98.78 341 | 99.94 6 | 91.68 376 | 99.35 356 | 97.21 348 | 96.99 361 | 98.69 352 |
|
| EC-MVSNet | | | 99.44 50 | 99.39 40 | 99.58 116 | 99.56 208 | 99.49 109 | 99.88 4 | 99.58 78 | 98.38 137 | 99.73 97 | 99.69 227 | 98.20 103 | 99.70 286 | 99.64 43 | 99.82 117 | 99.54 219 |
|
| DVP-MVS++ | | | 99.59 15 | 99.50 19 | 99.88 15 | 99.51 229 | 99.88 10 | 99.87 8 | 99.51 156 | 98.99 69 | 99.88 43 | 99.81 134 | 99.27 7 | 99.96 41 | 98.85 166 | 99.80 125 | 99.81 79 |
|
| FOURS1 | | | | | | 99.91 1 | 99.93 1 | 99.87 8 | 99.56 90 | 99.10 48 | 99.81 69 | | | | | | |
|
| K. test v3 | | | 97.10 378 | 96.79 378 | 98.01 373 | 98.72 418 | 96.33 388 | 99.87 8 | 97.05 472 | 97.59 271 | 96.16 449 | 99.80 152 | 88.71 419 | 99.04 412 | 96.69 380 | 96.55 368 | 98.65 376 |
|
| FC-MVSNet-test | | | 98.75 207 | 98.62 208 | 99.15 229 | 99.08 360 | 99.45 115 | 99.86 11 | 99.60 67 | 98.23 165 | 98.70 353 | 99.82 119 | 96.80 162 | 99.22 381 | 99.07 129 | 96.38 371 | 98.79 325 |
|
| v7n | | | 97.87 299 | 97.52 317 | 98.92 256 | 98.76 414 | 98.58 253 | 99.84 12 | 99.46 238 | 96.20 394 | 98.91 318 | 99.70 216 | 94.89 261 | 99.44 336 | 96.03 397 | 93.89 429 | 98.75 335 |
|
| DTE-MVSNet | | | 97.51 354 | 97.19 363 | 98.46 331 | 98.63 428 | 98.13 286 | 99.84 12 | 99.48 204 | 96.68 356 | 97.97 411 | 99.67 241 | 92.92 339 | 98.56 448 | 96.88 373 | 92.60 447 | 98.70 348 |
|
| 3Dnovator | | 97.25 9 | 99.24 97 | 99.05 112 | 99.81 60 | 99.12 349 | 99.66 71 | 99.84 12 | 99.74 13 | 99.09 55 | 98.92 317 | 99.90 37 | 95.94 210 | 99.98 20 | 98.95 146 | 99.92 39 | 99.79 92 |
|
| FIs | | | 98.78 202 | 98.63 203 | 99.23 219 | 99.18 333 | 99.54 98 | 99.83 15 | 99.59 73 | 98.28 150 | 98.79 340 | 99.81 134 | 96.75 165 | 99.37 349 | 99.08 128 | 96.38 371 | 98.78 327 |
|
| MGCFI-Net | | | 99.01 166 | 98.85 174 | 99.50 149 | 99.42 263 | 99.26 144 | 99.82 16 | 99.48 204 | 98.60 115 | 99.28 240 | 98.81 426 | 97.04 147 | 99.76 257 | 99.29 95 | 97.87 314 | 99.47 249 |
|
| test_fmvs3 | | | 92.10 438 | 91.77 441 | 93.08 453 | 96.19 470 | 86.25 473 | 99.82 16 | 98.62 446 | 96.65 359 | 95.19 457 | 96.90 473 | 55.05 487 | 95.93 480 | 96.63 385 | 90.92 456 | 97.06 469 |
|
| jajsoiax | | | 98.43 228 | 98.28 235 | 98.88 270 | 98.60 432 | 98.43 272 | 99.82 16 | 99.53 125 | 98.19 170 | 98.63 365 | 99.80 152 | 93.22 334 | 99.44 336 | 99.22 104 | 97.50 337 | 98.77 331 |
|
| OpenMVS |  | 96.50 16 | 98.47 225 | 98.12 246 | 99.52 139 | 99.04 368 | 99.53 101 | 99.82 16 | 99.72 14 | 94.56 434 | 98.08 404 | 99.88 57 | 94.73 274 | 99.98 20 | 97.47 330 | 99.76 140 | 99.06 306 |
|
| SDMVSNet | | | 99.11 141 | 98.90 160 | 99.75 77 | 99.81 57 | 99.59 88 | 99.81 20 | 99.65 39 | 98.78 98 | 99.64 144 | 99.88 57 | 94.56 286 | 99.93 110 | 99.67 37 | 98.26 292 | 99.72 137 |
|
| nrg030 | | | 98.64 218 | 98.42 225 | 99.28 211 | 99.05 366 | 99.69 63 | 99.81 20 | 99.46 238 | 98.04 216 | 99.01 300 | 99.82 119 | 96.69 167 | 99.38 346 | 99.34 81 | 94.59 416 | 98.78 327 |
|
| HPM-MVS |  | | 99.42 55 | 99.28 69 | 99.83 56 | 99.90 4 | 99.72 56 | 99.81 20 | 99.54 109 | 97.59 271 | 99.68 119 | 99.63 260 | 98.91 39 | 99.94 92 | 98.58 210 | 99.91 46 | 99.84 53 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| EPP-MVSNet | | | 99.13 127 | 98.99 138 | 99.53 133 | 99.65 160 | 99.06 171 | 99.81 20 | 99.33 322 | 97.43 294 | 99.60 159 | 99.88 57 | 97.14 138 | 99.84 196 | 99.13 119 | 98.94 241 | 99.69 154 |
|
| 3Dnovator+ | | 97.12 13 | 99.18 104 | 98.97 142 | 99.82 57 | 99.17 341 | 99.68 64 | 99.81 20 | 99.51 156 | 99.20 33 | 98.72 346 | 99.89 46 | 95.68 225 | 99.97 29 | 98.86 164 | 99.86 87 | 99.81 79 |
|
| sasdasda | | | 99.02 162 | 98.86 171 | 99.51 144 | 99.42 263 | 99.32 131 | 99.80 25 | 99.48 204 | 98.63 110 | 99.31 232 | 98.81 426 | 97.09 143 | 99.75 260 | 99.27 99 | 97.90 311 | 99.47 249 |
|
| FA-MVS(test-final) | | | 98.75 207 | 98.53 219 | 99.41 180 | 99.55 212 | 99.05 173 | 99.80 25 | 99.01 393 | 96.59 369 | 99.58 163 | 99.59 274 | 95.39 235 | 99.90 148 | 97.78 294 | 99.49 177 | 99.28 281 |
|
| GeoE | | | 98.85 193 | 98.62 208 | 99.53 133 | 99.61 189 | 99.08 168 | 99.80 25 | 99.51 156 | 97.10 326 | 99.31 232 | 99.78 176 | 95.23 246 | 99.77 253 | 98.21 250 | 99.03 235 | 99.75 113 |
|
| canonicalmvs | | | 99.02 162 | 98.86 171 | 99.51 144 | 99.42 263 | 99.32 131 | 99.80 25 | 99.48 204 | 98.63 110 | 99.31 232 | 98.81 426 | 97.09 143 | 99.75 260 | 99.27 99 | 97.90 311 | 99.47 249 |
|
| v8 | | | 97.95 288 | 97.63 307 | 98.93 254 | 98.95 383 | 98.81 231 | 99.80 25 | 99.41 274 | 96.03 408 | 99.10 283 | 99.42 332 | 94.92 258 | 99.30 364 | 96.94 368 | 94.08 426 | 98.66 374 |
|
| Vis-MVSNet (Re-imp) | | | 98.87 181 | 98.72 189 | 99.31 199 | 99.71 117 | 98.88 213 | 99.80 25 | 99.44 258 | 97.91 229 | 99.36 222 | 99.78 176 | 95.49 232 | 99.43 340 | 97.91 279 | 99.11 218 | 99.62 190 |
|
| Anonymous20240521 | | | 96.20 397 | 95.89 400 | 97.13 423 | 97.72 453 | 94.96 431 | 99.79 31 | 99.29 345 | 93.01 449 | 97.20 434 | 99.03 405 | 89.69 409 | 98.36 452 | 91.16 459 | 96.13 377 | 98.07 443 |
|
| PS-MVSNAJss | | | 98.92 175 | 98.92 155 | 98.90 262 | 98.78 407 | 98.53 257 | 99.78 32 | 99.54 109 | 98.07 202 | 99.00 304 | 99.76 189 | 99.01 20 | 99.37 349 | 99.13 119 | 97.23 354 | 98.81 324 |
|
| PEN-MVS | | | 97.76 320 | 97.44 333 | 98.72 296 | 98.77 412 | 98.54 256 | 99.78 32 | 99.51 156 | 97.06 330 | 98.29 393 | 99.64 254 | 92.63 352 | 98.89 439 | 98.09 263 | 93.16 439 | 98.72 341 |
|
| anonymousdsp | | | 98.44 227 | 98.28 235 | 98.94 252 | 98.50 438 | 98.96 187 | 99.77 34 | 99.50 179 | 97.07 328 | 98.87 326 | 99.77 185 | 94.76 271 | 99.28 366 | 98.66 196 | 97.60 326 | 98.57 405 |
|
| SixPastTwentyTwo | | | 97.50 355 | 97.33 351 | 98.03 370 | 98.65 426 | 96.23 393 | 99.77 34 | 98.68 442 | 97.14 319 | 97.90 414 | 99.93 10 | 90.45 398 | 99.18 389 | 97.00 362 | 96.43 370 | 98.67 365 |
|
| QAPM | | | 98.67 214 | 98.30 234 | 99.80 64 | 99.20 327 | 99.67 68 | 99.77 34 | 99.72 14 | 94.74 431 | 98.73 345 | 99.90 37 | 95.78 221 | 99.98 20 | 96.96 366 | 99.88 76 | 99.76 107 |
|
| SSC-MVS | | | 92.73 437 | 93.73 431 | 89.72 463 | 95.02 481 | 81.38 483 | 99.76 37 | 99.23 360 | 94.87 428 | 92.80 470 | 98.93 418 | 94.71 276 | 91.37 487 | 74.49 486 | 93.80 430 | 96.42 473 |
|
| test_vis3_rt | | | 87.04 445 | 85.81 448 | 90.73 460 | 93.99 484 | 81.96 481 | 99.76 37 | 90.23 495 | 92.81 452 | 81.35 483 | 91.56 483 | 40.06 491 | 99.07 407 | 94.27 431 | 88.23 466 | 91.15 483 |
|
| dcpmvs_2 | | | 99.23 98 | 99.58 9 | 98.16 362 | 99.83 47 | 94.68 437 | 99.76 37 | 99.52 134 | 99.07 58 | 99.98 13 | 99.88 57 | 98.56 80 | 99.93 110 | 99.67 37 | 99.98 4 | 99.87 40 |
|
| RRT-MVS | | | 98.91 176 | 98.75 185 | 99.39 186 | 99.46 253 | 98.61 251 | 99.76 37 | 99.50 179 | 98.06 206 | 99.81 69 | 99.88 57 | 93.91 318 | 99.94 92 | 99.11 122 | 99.27 194 | 99.61 192 |
|
| HPM-MVS_fast | | | 99.51 29 | 99.40 38 | 99.85 43 | 99.91 1 | 99.79 41 | 99.76 37 | 99.56 90 | 97.72 256 | 99.76 91 | 99.75 194 | 99.13 14 | 99.92 123 | 99.07 129 | 99.92 39 | 99.85 46 |
|
| lecture | | | 99.60 14 | 99.50 19 | 99.89 11 | 99.89 8 | 99.90 3 | 99.75 42 | 99.59 73 | 99.06 61 | 99.88 43 | 99.85 85 | 98.41 93 | 99.96 41 | 99.28 96 | 99.84 102 | 99.83 63 |
|
| MVSMamba_PlusPlus | | | 99.46 42 | 99.41 37 | 99.64 101 | 99.68 134 | 99.50 108 | 99.75 42 | 99.50 179 | 98.27 152 | 99.87 49 | 99.92 18 | 98.09 108 | 99.94 92 | 99.65 41 | 99.95 23 | 99.47 249 |
|
| v10 | | | 97.85 302 | 97.52 317 | 98.86 277 | 98.99 376 | 98.67 242 | 99.75 42 | 99.41 274 | 95.70 412 | 98.98 307 | 99.41 336 | 94.75 272 | 99.23 376 | 96.01 399 | 94.63 415 | 98.67 365 |
|
| APDe-MVS |  | | 99.66 6 | 99.57 10 | 99.92 1 | 99.77 78 | 99.89 6 | 99.75 42 | 99.56 90 | 99.02 62 | 99.88 43 | 99.85 85 | 99.18 12 | 99.96 41 | 99.22 104 | 99.92 39 | 99.90 25 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| IS-MVSNet | | | 99.05 158 | 98.87 168 | 99.57 120 | 99.73 107 | 99.32 131 | 99.75 42 | 99.20 367 | 98.02 221 | 99.56 167 | 99.86 78 | 96.54 177 | 99.67 294 | 98.09 263 | 99.13 211 | 99.73 127 |
|
| test_vis1_n | | | 97.92 292 | 97.44 333 | 99.34 191 | 99.53 220 | 98.08 289 | 99.74 47 | 99.49 192 | 99.15 38 | 100.00 1 | 99.94 6 | 79.51 475 | 99.98 20 | 99.88 26 | 99.76 140 | 99.97 4 |
|
| test_fmvs1_n | | | 98.41 231 | 98.14 243 | 99.21 220 | 99.82 53 | 97.71 315 | 99.74 47 | 99.49 192 | 99.32 29 | 99.99 2 | 99.95 3 | 85.32 453 | 99.97 29 | 99.82 29 | 99.84 102 | 99.96 7 |
|
| balanced_conf03 | | | 99.46 42 | 99.39 40 | 99.67 90 | 99.55 212 | 99.58 93 | 99.74 47 | 99.51 156 | 98.42 134 | 99.87 49 | 99.84 100 | 98.05 111 | 99.91 135 | 99.58 47 | 99.94 31 | 99.52 226 |
|
| tttt0517 | | | 98.42 229 | 98.14 243 | 99.28 211 | 99.66 150 | 98.38 275 | 99.74 47 | 96.85 474 | 97.68 262 | 99.79 76 | 99.74 199 | 91.39 385 | 99.89 163 | 98.83 172 | 99.56 170 | 99.57 213 |
|
| WB-MVS | | | 93.10 435 | 94.10 426 | 90.12 462 | 95.51 478 | 81.88 482 | 99.73 51 | 99.27 353 | 95.05 423 | 93.09 469 | 98.91 422 | 94.70 277 | 91.89 486 | 76.62 484 | 94.02 428 | 96.58 472 |
|
| test_fmvs2 | | | 97.25 372 | 97.30 354 | 97.09 425 | 99.43 261 | 93.31 458 | 99.73 51 | 98.87 416 | 98.83 88 | 99.28 240 | 99.80 152 | 84.45 458 | 99.66 297 | 97.88 281 | 97.45 342 | 98.30 429 |
|
| SD_0403 | | | 97.55 349 | 97.53 316 | 97.62 407 | 99.61 189 | 93.64 455 | 99.72 53 | 99.44 258 | 98.03 218 | 98.62 368 | 99.39 344 | 96.06 202 | 99.57 318 | 87.88 472 | 99.01 238 | 99.66 169 |
|
| MonoMVSNet | | | 98.38 235 | 98.47 223 | 98.12 367 | 98.59 434 | 96.19 395 | 99.72 53 | 98.79 427 | 97.89 231 | 99.44 194 | 99.52 302 | 96.13 199 | 98.90 438 | 98.64 198 | 97.54 332 | 99.28 281 |
|
| baseline | | | 99.15 115 | 99.02 127 | 99.53 133 | 99.66 150 | 99.14 160 | 99.72 53 | 99.48 204 | 98.35 142 | 99.42 200 | 99.84 100 | 96.07 201 | 99.79 245 | 99.51 56 | 99.14 208 | 99.67 164 |
|
| RPSCF | | | 98.22 246 | 98.62 208 | 96.99 427 | 99.82 53 | 91.58 467 | 99.72 53 | 99.44 258 | 96.61 364 | 99.66 130 | 99.89 46 | 95.92 211 | 99.82 227 | 97.46 331 | 99.10 225 | 99.57 213 |
|
| CSCG | | | 99.32 79 | 99.32 54 | 99.32 197 | 99.85 31 | 98.29 277 | 99.71 57 | 99.66 32 | 98.11 193 | 99.41 205 | 99.80 152 | 98.37 96 | 99.96 41 | 98.99 138 | 99.96 17 | 99.72 137 |
|
| dmvs_re | | | 98.08 264 | 98.16 240 | 97.85 389 | 99.55 212 | 94.67 438 | 99.70 58 | 98.92 404 | 98.15 175 | 99.06 294 | 99.35 356 | 93.67 326 | 99.25 373 | 97.77 297 | 97.25 353 | 99.64 182 |
|
| WR-MVS_H | | | 98.13 257 | 97.87 277 | 98.90 262 | 99.02 370 | 98.84 223 | 99.70 58 | 99.59 73 | 97.27 308 | 98.40 383 | 99.19 388 | 95.53 230 | 99.23 376 | 98.34 240 | 93.78 431 | 98.61 396 |
|
| mvsmamba | | | 99.06 154 | 98.96 146 | 99.36 188 | 99.47 251 | 98.64 246 | 99.70 58 | 99.05 388 | 97.61 270 | 99.65 139 | 99.83 106 | 96.54 177 | 99.92 123 | 99.19 108 | 99.62 165 | 99.51 235 |
|
| LTVRE_ROB | | 97.16 12 | 98.02 276 | 97.90 272 | 98.40 341 | 99.23 320 | 96.80 370 | 99.70 58 | 99.60 67 | 97.12 322 | 98.18 400 | 99.70 216 | 91.73 375 | 99.72 273 | 98.39 233 | 97.45 342 | 98.68 357 |
| 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 |
| MED-MVS test | | | | | 99.87 21 | 99.88 13 | 99.81 33 | 99.69 62 | 99.87 6 | 99.34 26 | 99.90 34 | 99.83 106 | | 99.95 76 | 98.83 172 | 99.89 68 | 99.83 63 |
|
| MED-MVS | | | 99.66 6 | 99.60 8 | 99.87 21 | 99.88 13 | 99.81 33 | 99.69 62 | 99.87 6 | 99.18 34 | 99.90 34 | 99.83 106 | 99.30 4 | 99.95 76 | 98.83 172 | 99.89 68 | 99.83 63 |
|
| TestfortrainingZip a | | | 99.73 1 | 99.67 1 | 99.92 1 | 99.88 13 | 99.91 2 | 99.69 62 | 99.87 6 | 99.34 26 | 99.90 34 | 99.83 106 | 99.30 4 | 99.95 76 | 99.32 84 | 99.89 68 | 99.90 25 |
|
| TestfortrainingZip | | | | | | | | 99.69 62 | | | | | | | | | |
|
| test_f | | | 91.90 439 | 91.26 443 | 93.84 449 | 95.52 477 | 85.92 474 | 99.69 62 | 98.53 450 | 95.31 417 | 93.87 464 | 96.37 476 | 55.33 486 | 98.27 453 | 95.70 405 | 90.98 455 | 97.32 468 |
|
| XVS | | | 99.53 27 | 99.42 32 | 99.87 21 | 99.85 31 | 99.83 22 | 99.69 62 | 99.68 24 | 98.98 72 | 99.37 216 | 99.74 199 | 98.81 49 | 99.94 92 | 98.79 180 | 99.86 87 | 99.84 53 |
|
| X-MVStestdata | | | 96.55 389 | 95.45 408 | 99.87 21 | 99.85 31 | 99.83 22 | 99.69 62 | 99.68 24 | 98.98 72 | 99.37 216 | 64.01 492 | 98.81 49 | 99.94 92 | 98.79 180 | 99.86 87 | 99.84 53 |
|
| V42 | | | 98.06 266 | 97.79 283 | 98.86 277 | 98.98 379 | 98.84 223 | 99.69 62 | 99.34 314 | 96.53 371 | 99.30 236 | 99.37 350 | 94.67 279 | 99.32 361 | 97.57 318 | 94.66 414 | 98.42 421 |
|
| mPP-MVS | | | 99.44 50 | 99.30 62 | 99.86 34 | 99.88 13 | 99.79 41 | 99.69 62 | 99.48 204 | 98.12 191 | 99.50 181 | 99.75 194 | 98.78 53 | 99.97 29 | 98.57 213 | 99.89 68 | 99.83 63 |
|
| CP-MVS | | | 99.45 46 | 99.32 54 | 99.85 43 | 99.83 47 | 99.75 51 | 99.69 62 | 99.52 134 | 98.07 202 | 99.53 176 | 99.63 260 | 98.93 38 | 99.97 29 | 98.74 184 | 99.91 46 | 99.83 63 |
|
| FE-MVS | | | 98.48 224 | 98.17 239 | 99.40 181 | 99.54 219 | 98.96 187 | 99.68 72 | 98.81 423 | 95.54 414 | 99.62 151 | 99.70 216 | 93.82 321 | 99.93 110 | 97.35 340 | 99.46 178 | 99.32 278 |
|
| PS-CasMVS | | | 97.93 289 | 97.59 311 | 98.95 250 | 98.99 376 | 99.06 171 | 99.68 72 | 99.52 134 | 97.13 320 | 98.31 390 | 99.68 235 | 92.44 361 | 99.05 411 | 98.51 221 | 94.08 426 | 98.75 335 |
|
| Vis-MVSNet |  | | 99.12 135 | 98.97 142 | 99.56 122 | 99.78 70 | 99.10 164 | 99.68 72 | 99.66 32 | 98.49 125 | 99.86 53 | 99.87 70 | 94.77 270 | 99.84 196 | 99.19 108 | 99.41 182 | 99.74 118 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| KinetiMVS | | | 99.12 135 | 98.92 155 | 99.70 87 | 99.67 137 | 99.40 121 | 99.67 75 | 99.63 46 | 98.73 102 | 99.94 28 | 99.81 134 | 94.54 289 | 99.96 41 | 98.40 232 | 99.93 33 | 99.74 118 |
|
| BP-MVS1 | | | 99.12 135 | 98.94 152 | 99.65 95 | 99.51 229 | 99.30 138 | 99.67 75 | 98.92 404 | 98.48 126 | 99.84 56 | 99.69 227 | 94.96 253 | 99.92 123 | 99.62 44 | 99.79 132 | 99.71 148 |
|
| test_vis1_n_1920 | | | 98.63 219 | 98.40 227 | 99.31 199 | 99.86 25 | 97.94 302 | 99.67 75 | 99.62 51 | 99.43 17 | 99.99 2 | 99.91 26 | 87.29 437 | 100.00 1 | 99.92 24 | 99.92 39 | 99.98 2 |
|
| EIA-MVS | | | 99.18 104 | 99.09 104 | 99.45 169 | 99.49 243 | 99.18 152 | 99.67 75 | 99.53 125 | 97.66 265 | 99.40 210 | 99.44 328 | 98.10 107 | 99.81 232 | 98.94 147 | 99.62 165 | 99.35 273 |
|
| MSP-MVS | | | 99.42 55 | 99.27 73 | 99.88 15 | 99.89 8 | 99.80 38 | 99.67 75 | 99.50 179 | 98.70 106 | 99.77 85 | 99.49 312 | 98.21 102 | 99.95 76 | 98.46 227 | 99.77 137 | 99.88 35 |
| 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 |
| MVS_Test | | | 99.10 146 | 98.97 142 | 99.48 160 | 99.49 243 | 99.14 160 | 99.67 75 | 99.34 314 | 97.31 305 | 99.58 163 | 99.76 189 | 97.65 121 | 99.82 227 | 98.87 159 | 99.07 232 | 99.46 254 |
|
| CP-MVSNet | | | 98.09 261 | 97.78 286 | 99.01 241 | 98.97 381 | 99.24 147 | 99.67 75 | 99.46 238 | 97.25 310 | 98.48 379 | 99.64 254 | 93.79 322 | 99.06 410 | 98.63 200 | 94.10 425 | 98.74 339 |
|
| MTAPA | | | 99.52 28 | 99.39 40 | 99.89 11 | 99.90 4 | 99.86 18 | 99.66 82 | 99.47 226 | 98.79 95 | 99.68 119 | 99.81 134 | 98.43 89 | 99.97 29 | 98.88 156 | 99.90 57 | 99.83 63 |
|
| HFP-MVS | | | 99.49 33 | 99.37 44 | 99.86 34 | 99.87 20 | 99.80 38 | 99.66 82 | 99.67 27 | 98.15 175 | 99.68 119 | 99.69 227 | 99.06 18 | 99.96 41 | 98.69 192 | 99.87 79 | 99.84 53 |
|
| mvs_tets | | | 98.40 234 | 98.23 237 | 98.91 260 | 98.67 425 | 98.51 263 | 99.66 82 | 99.53 125 | 98.19 170 | 98.65 362 | 99.81 134 | 92.75 343 | 99.44 336 | 99.31 86 | 97.48 341 | 98.77 331 |
|
| EU-MVSNet | | | 97.98 283 | 98.03 258 | 97.81 397 | 98.72 418 | 96.65 377 | 99.66 82 | 99.66 32 | 98.09 197 | 98.35 388 | 99.82 119 | 95.25 244 | 98.01 459 | 97.41 336 | 95.30 402 | 98.78 327 |
|
| ACMMPR | | | 99.49 33 | 99.36 46 | 99.86 34 | 99.87 20 | 99.79 41 | 99.66 82 | 99.67 27 | 98.15 175 | 99.67 125 | 99.69 227 | 98.95 32 | 99.96 41 | 98.69 192 | 99.87 79 | 99.84 53 |
|
| MP-MVS |  | | 99.33 77 | 99.15 93 | 99.87 21 | 99.88 13 | 99.82 28 | 99.66 82 | 99.46 238 | 98.09 197 | 99.48 185 | 99.74 199 | 98.29 99 | 99.96 41 | 97.93 278 | 99.87 79 | 99.82 72 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| NormalMVS | | | 99.27 89 | 99.19 88 | 99.52 139 | 99.89 8 | 98.83 226 | 99.65 88 | 99.52 134 | 99.10 48 | 99.84 56 | 99.76 189 | 95.80 219 | 99.99 4 | 99.30 89 | 99.84 102 | 99.74 118 |
|
| SymmetryMVS | | | 99.15 115 | 99.02 127 | 99.52 139 | 99.72 111 | 98.83 226 | 99.65 88 | 99.34 314 | 99.10 48 | 99.84 56 | 99.76 189 | 95.80 219 | 99.99 4 | 99.30 89 | 98.72 262 | 99.73 127 |
|
| Elysia | | | 98.88 178 | 98.65 200 | 99.58 116 | 99.58 199 | 99.34 127 | 99.65 88 | 99.52 134 | 98.26 155 | 99.83 64 | 99.87 70 | 93.37 329 | 99.90 148 | 97.81 291 | 99.91 46 | 99.49 240 |
|
| StellarMVS | | | 98.88 178 | 98.65 200 | 99.58 116 | 99.58 199 | 99.34 127 | 99.65 88 | 99.52 134 | 98.26 155 | 99.83 64 | 99.87 70 | 93.37 329 | 99.90 148 | 97.81 291 | 99.91 46 | 99.49 240 |
|
| test_cas_vis1_n_1920 | | | 99.16 111 | 99.01 134 | 99.61 109 | 99.81 57 | 98.86 220 | 99.65 88 | 99.64 42 | 99.39 22 | 99.97 25 | 99.94 6 | 93.20 335 | 99.98 20 | 99.55 50 | 99.91 46 | 99.99 1 |
|
| region2R | | | 99.48 37 | 99.35 48 | 99.87 21 | 99.88 13 | 99.80 38 | 99.65 88 | 99.66 32 | 98.13 183 | 99.66 130 | 99.68 235 | 98.96 27 | 99.96 41 | 98.62 201 | 99.87 79 | 99.84 53 |
|
| TranMVSNet+NR-MVSNet | | | 97.93 289 | 97.66 302 | 98.76 293 | 98.78 407 | 98.62 249 | 99.65 88 | 99.49 192 | 97.76 251 | 98.49 378 | 99.60 272 | 94.23 302 | 98.97 430 | 98.00 274 | 92.90 441 | 98.70 348 |
|
| GDP-MVS | | | 99.08 149 | 98.89 164 | 99.64 101 | 99.53 220 | 99.34 127 | 99.64 95 | 99.48 204 | 98.32 147 | 99.77 85 | 99.66 246 | 95.14 249 | 99.93 110 | 98.97 144 | 99.50 176 | 99.64 182 |
|
| ttmdpeth | | | 97.80 316 | 97.63 307 | 98.29 351 | 98.77 412 | 97.38 326 | 99.64 95 | 99.36 302 | 98.78 98 | 96.30 447 | 99.58 278 | 92.34 364 | 99.39 344 | 98.36 238 | 95.58 395 | 98.10 441 |
|
| mvsany_test3 | | | 93.77 432 | 93.45 435 | 94.74 446 | 95.78 473 | 88.01 472 | 99.64 95 | 98.25 455 | 98.28 150 | 94.31 461 | 97.97 459 | 68.89 479 | 98.51 450 | 97.50 326 | 90.37 457 | 97.71 458 |
|
| ZNCC-MVS | | | 99.47 40 | 99.33 52 | 99.87 21 | 99.87 20 | 99.81 33 | 99.64 95 | 99.67 27 | 98.08 201 | 99.55 173 | 99.64 254 | 98.91 39 | 99.96 41 | 98.72 187 | 99.90 57 | 99.82 72 |
|
| tfpnnormal | | | 97.84 306 | 97.47 325 | 98.98 245 | 99.20 327 | 99.22 149 | 99.64 95 | 99.61 60 | 96.32 385 | 98.27 394 | 99.70 216 | 93.35 331 | 99.44 336 | 95.69 406 | 95.40 400 | 98.27 431 |
|
| casdiffmvs_mvg |  | | 99.15 115 | 99.02 127 | 99.55 124 | 99.66 150 | 99.09 165 | 99.64 95 | 99.56 90 | 98.26 155 | 99.45 189 | 99.87 70 | 96.03 204 | 99.81 232 | 99.54 51 | 99.15 207 | 99.73 127 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| SR-MVS-dyc-post | | | 99.45 46 | 99.31 60 | 99.85 43 | 99.76 82 | 99.82 28 | 99.63 101 | 99.52 134 | 98.38 137 | 99.76 91 | 99.82 119 | 98.53 82 | 99.95 76 | 98.61 204 | 99.81 120 | 99.77 100 |
|
| RE-MVS-def | | | | 99.34 50 | | 99.76 82 | 99.82 28 | 99.63 101 | 99.52 134 | 98.38 137 | 99.76 91 | 99.82 119 | 98.75 60 | | 98.61 204 | 99.81 120 | 99.77 100 |
|
| TSAR-MVS + MP. | | | 99.58 16 | 99.50 19 | 99.81 60 | 99.91 1 | 99.66 71 | 99.63 101 | 99.39 284 | 98.91 82 | 99.78 81 | 99.85 85 | 99.36 2 | 99.94 92 | 98.84 169 | 99.88 76 | 99.82 72 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| Anonymous20231206 | | | 96.22 395 | 96.03 396 | 96.79 435 | 97.31 459 | 94.14 447 | 99.63 101 | 99.08 382 | 96.17 397 | 97.04 438 | 99.06 401 | 93.94 315 | 97.76 465 | 86.96 476 | 95.06 407 | 98.47 415 |
|
| APD-MVS_3200maxsize | | | 99.48 37 | 99.35 48 | 99.85 43 | 99.76 82 | 99.83 22 | 99.63 101 | 99.54 109 | 98.36 141 | 99.79 76 | 99.82 119 | 98.86 43 | 99.95 76 | 98.62 201 | 99.81 120 | 99.78 98 |
|
| test0726 | | | | | | 99.85 31 | 99.89 6 | 99.62 106 | 99.50 179 | 99.10 48 | 99.86 53 | 99.82 119 | 98.94 34 | | | | |
|
| EPNet | | | 98.86 184 | 98.71 191 | 99.30 204 | 97.20 461 | 98.18 282 | 99.62 106 | 98.91 409 | 99.28 31 | 98.63 365 | 99.81 134 | 95.96 207 | 99.99 4 | 99.24 103 | 99.72 148 | 99.73 127 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| 114514_t | | | 98.93 174 | 98.67 195 | 99.72 86 | 99.85 31 | 99.53 101 | 99.62 106 | 99.59 73 | 92.65 454 | 99.71 112 | 99.78 176 | 98.06 110 | 99.90 148 | 98.84 169 | 99.91 46 | 99.74 118 |
|
| HY-MVS | | 97.30 7 | 98.85 193 | 98.64 202 | 99.47 166 | 99.42 263 | 99.08 168 | 99.62 106 | 99.36 302 | 97.39 299 | 99.28 240 | 99.68 235 | 96.44 183 | 99.92 123 | 98.37 236 | 98.22 295 | 99.40 266 |
|
| ACMMP |  | | 99.45 46 | 99.32 54 | 99.82 57 | 99.89 8 | 99.67 68 | 99.62 106 | 99.69 22 | 98.12 191 | 99.63 147 | 99.84 100 | 98.73 66 | 99.96 41 | 98.55 219 | 99.83 113 | 99.81 79 |
| Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence |
| DeepC-MVS | | 98.35 2 | 99.30 83 | 99.19 88 | 99.64 101 | 99.82 53 | 99.23 148 | 99.62 106 | 99.55 100 | 98.94 78 | 99.63 147 | 99.95 3 | 95.82 217 | 99.94 92 | 99.37 75 | 99.97 9 | 99.73 127 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| EI-MVSNet-Vis-set | | | 99.58 16 | 99.56 12 | 99.64 101 | 99.78 70 | 99.15 159 | 99.61 112 | 99.45 249 | 99.01 64 | 99.89 40 | 99.82 119 | 99.01 20 | 99.92 123 | 99.56 49 | 99.95 23 | 99.85 46 |
|
| E5new | | | 99.14 123 | 99.02 127 | 99.50 149 | 99.69 127 | 98.91 204 | 99.60 113 | 99.53 125 | 98.13 183 | 99.72 102 | 99.91 26 | 96.26 195 | 99.84 196 | 99.30 89 | 99.10 225 | 99.76 107 |
|
| E6new | | | 99.15 115 | 99.03 117 | 99.50 149 | 99.66 150 | 98.90 209 | 99.60 113 | 99.53 125 | 98.13 183 | 99.72 102 | 99.91 26 | 96.31 190 | 99.84 196 | 99.30 89 | 99.10 225 | 99.76 107 |
|
| E6 | | | 99.15 115 | 99.03 117 | 99.50 149 | 99.66 150 | 98.90 209 | 99.60 113 | 99.53 125 | 98.13 183 | 99.72 102 | 99.91 26 | 96.31 190 | 99.84 196 | 99.30 89 | 99.10 225 | 99.76 107 |
|
| E5 | | | 99.14 123 | 99.02 127 | 99.50 149 | 99.69 127 | 98.91 204 | 99.60 113 | 99.53 125 | 98.13 183 | 99.72 102 | 99.91 26 | 96.26 195 | 99.84 196 | 99.30 89 | 99.10 225 | 99.76 107 |
|
| reproduce_monomvs | | | 97.89 296 | 97.87 277 | 97.96 379 | 99.51 229 | 95.45 417 | 99.60 113 | 99.25 356 | 99.17 36 | 98.85 332 | 99.49 312 | 89.29 413 | 99.64 306 | 99.35 76 | 96.31 374 | 98.78 327 |
|
| test2506 | | | 96.81 385 | 96.65 381 | 97.29 420 | 99.74 100 | 92.21 465 | 99.60 113 | 85.06 496 | 99.13 41 | 99.77 85 | 99.93 10 | 87.82 435 | 99.85 187 | 99.38 74 | 99.38 183 | 99.80 88 |
|
| SED-MVS | | | 99.61 10 | 99.52 14 | 99.88 15 | 99.84 38 | 99.90 3 | 99.60 113 | 99.48 204 | 99.08 56 | 99.91 31 | 99.81 134 | 99.20 9 | 99.96 41 | 98.91 153 | 99.85 94 | 99.79 92 |
|
| OPU-MVS | | | | | 99.64 101 | 99.56 208 | 99.72 56 | 99.60 113 | | | | 99.70 216 | 99.27 7 | 99.42 342 | 98.24 249 | 99.80 125 | 99.79 92 |
|
| GST-MVS | | | 99.40 64 | 99.24 78 | 99.85 43 | 99.86 25 | 99.79 41 | 99.60 113 | 99.67 27 | 97.97 224 | 99.63 147 | 99.68 235 | 98.52 83 | 99.95 76 | 98.38 234 | 99.86 87 | 99.81 79 |
|
| EI-MVSNet-UG-set | | | 99.58 16 | 99.57 10 | 99.64 101 | 99.78 70 | 99.14 160 | 99.60 113 | 99.45 249 | 99.01 64 | 99.90 34 | 99.83 106 | 98.98 26 | 99.93 110 | 99.59 45 | 99.95 23 | 99.86 42 |
|
| ACMH | | 97.28 8 | 98.10 260 | 97.99 262 | 98.44 336 | 99.41 268 | 96.96 358 | 99.60 113 | 99.56 90 | 98.09 197 | 98.15 402 | 99.91 26 | 90.87 395 | 99.70 286 | 98.88 156 | 97.45 342 | 98.67 365 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| VortexMVS | | | 98.67 214 | 98.66 198 | 98.68 302 | 99.62 178 | 97.96 297 | 99.59 124 | 99.41 274 | 98.13 183 | 99.31 232 | 99.70 216 | 95.48 233 | 99.27 369 | 99.40 71 | 97.32 351 | 98.79 325 |
|
| guyue | | | 99.16 111 | 99.04 114 | 99.52 139 | 99.69 127 | 98.92 203 | 99.59 124 | 98.81 423 | 98.73 102 | 99.90 34 | 99.87 70 | 95.34 238 | 99.88 168 | 99.66 40 | 99.81 120 | 99.74 118 |
|
| ECVR-MVS |  | | 98.04 272 | 98.05 256 | 98.00 375 | 99.74 100 | 94.37 444 | 99.59 124 | 94.98 484 | 99.13 41 | 99.66 130 | 99.93 10 | 90.67 397 | 99.84 196 | 99.40 71 | 99.38 183 | 99.80 88 |
|
| SR-MVS | | | 99.43 53 | 99.29 66 | 99.86 34 | 99.75 92 | 99.83 22 | 99.59 124 | 99.62 51 | 98.21 168 | 99.73 97 | 99.79 169 | 98.68 70 | 99.96 41 | 98.44 229 | 99.77 137 | 99.79 92 |
|
| thres100view900 | | | 97.76 320 | 97.45 328 | 98.69 301 | 99.72 111 | 97.86 306 | 99.59 124 | 98.74 433 | 97.93 227 | 99.26 251 | 98.62 434 | 91.75 373 | 99.83 218 | 93.22 444 | 98.18 300 | 98.37 427 |
|
| thres600view7 | | | 97.86 301 | 97.51 319 | 98.92 256 | 99.72 111 | 97.95 300 | 99.59 124 | 98.74 433 | 97.94 226 | 99.27 246 | 98.62 434 | 91.75 373 | 99.86 181 | 93.73 438 | 98.19 299 | 98.96 317 |
|
| LCM-MVSNet-Re | | | 97.83 309 | 98.15 242 | 96.87 433 | 99.30 300 | 92.25 464 | 99.59 124 | 98.26 454 | 97.43 294 | 96.20 448 | 99.13 394 | 96.27 193 | 98.73 445 | 98.17 255 | 98.99 239 | 99.64 182 |
|
| baseline1 | | | 98.31 240 | 97.95 267 | 99.38 187 | 99.50 241 | 98.74 236 | 99.59 124 | 98.93 401 | 98.41 135 | 99.14 275 | 99.60 272 | 94.59 284 | 99.79 245 | 98.48 223 | 93.29 436 | 99.61 192 |
|
| SteuartSystems-ACMMP | | | 99.54 24 | 99.42 32 | 99.87 21 | 99.82 53 | 99.81 33 | 99.59 124 | 99.51 156 | 98.62 112 | 99.79 76 | 99.83 106 | 99.28 6 | 99.97 29 | 98.48 223 | 99.90 57 | 99.84 53 |
| Skip Steuart: Steuart Systems R&D Blog. |
| CPTT-MVS | | | 99.11 141 | 98.90 160 | 99.74 80 | 99.80 63 | 99.46 114 | 99.59 124 | 99.49 192 | 97.03 334 | 99.63 147 | 99.69 227 | 97.27 133 | 99.96 41 | 97.82 289 | 99.84 102 | 99.81 79 |
|
| IMVS_0403 | | | 98.86 184 | 98.89 164 | 98.78 291 | 99.55 212 | 96.93 359 | 99.58 134 | 99.44 258 | 98.05 209 | 99.68 119 | 99.80 152 | 96.81 161 | 99.80 239 | 98.15 258 | 98.92 244 | 99.60 195 |
|
| test_fmvsmvis_n_1920 | | | 99.65 8 | 99.61 7 | 99.77 74 | 99.38 278 | 99.37 123 | 99.58 134 | 99.62 51 | 99.41 21 | 99.87 49 | 99.92 18 | 98.81 49 | 100.00 1 | 99.97 2 | 99.93 33 | 99.94 17 |
|
| dmvs_testset | | | 95.02 420 | 96.12 393 | 91.72 457 | 99.10 354 | 80.43 485 | 99.58 134 | 97.87 464 | 97.47 286 | 95.22 455 | 98.82 425 | 93.99 313 | 95.18 482 | 88.09 470 | 94.91 412 | 99.56 216 |
|
| test_fmvsm_n_1920 | | | 99.69 5 | 99.66 4 | 99.78 71 | 99.84 38 | 99.44 116 | 99.58 134 | 99.69 22 | 99.43 17 | 99.98 13 | 99.91 26 | 98.62 76 | 100.00 1 | 99.97 2 | 99.95 23 | 99.90 25 |
|
| test1111 | | | 98.04 272 | 98.11 247 | 97.83 394 | 99.74 100 | 93.82 449 | 99.58 134 | 95.40 483 | 99.12 46 | 99.65 139 | 99.93 10 | 90.73 396 | 99.84 196 | 99.43 69 | 99.38 183 | 99.82 72 |
|
| PGM-MVS | | | 99.45 46 | 99.31 60 | 99.86 34 | 99.87 20 | 99.78 47 | 99.58 134 | 99.65 39 | 97.84 240 | 99.71 112 | 99.80 152 | 99.12 15 | 99.97 29 | 98.33 241 | 99.87 79 | 99.83 63 |
|
| LPG-MVS_test | | | 98.22 246 | 98.13 245 | 98.49 323 | 99.33 291 | 97.05 345 | 99.58 134 | 99.55 100 | 97.46 287 | 99.24 253 | 99.83 106 | 92.58 353 | 99.72 273 | 98.09 263 | 97.51 335 | 98.68 357 |
|
| PHI-MVS | | | 99.30 83 | 99.17 91 | 99.70 87 | 99.56 208 | 99.52 105 | 99.58 134 | 99.80 11 | 97.12 322 | 99.62 151 | 99.73 205 | 98.58 78 | 99.90 148 | 98.61 204 | 99.91 46 | 99.68 160 |
|
| fmvsm_s_conf0.5_n_11 | | | 99.32 79 | 99.16 92 | 99.80 64 | 99.83 47 | 99.70 60 | 99.57 142 | 99.56 90 | 99.45 11 | 99.99 2 | 99.93 10 | 94.18 306 | 99.99 4 | 99.96 13 | 99.98 4 | 99.73 127 |
|
| AstraMVS | | | 99.09 147 | 99.03 117 | 99.25 214 | 99.66 150 | 98.13 286 | 99.57 142 | 98.24 456 | 98.82 89 | 99.91 31 | 99.88 57 | 95.81 218 | 99.90 148 | 99.72 32 | 99.67 158 | 99.74 118 |
|
| SF-MVS | | | 99.38 67 | 99.24 78 | 99.79 68 | 99.79 68 | 99.68 64 | 99.57 142 | 99.54 109 | 97.82 246 | 99.71 112 | 99.80 152 | 98.95 32 | 99.93 110 | 98.19 252 | 99.84 102 | 99.74 118 |
|
| DVP-MVS |  | | 99.57 20 | 99.47 24 | 99.88 15 | 99.85 31 | 99.89 6 | 99.57 142 | 99.37 300 | 99.10 48 | 99.81 69 | 99.80 152 | 98.94 34 | 99.96 41 | 98.93 150 | 99.86 87 | 99.81 79 |
| Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025 |
| test_0728_SECOND | | | | | 99.91 6 | 99.84 38 | 99.89 6 | 99.57 142 | 99.51 156 | | | | | 99.96 41 | 98.93 150 | 99.86 87 | 99.88 35 |
|
| Effi-MVS+-dtu | | | 98.78 202 | 98.89 164 | 98.47 330 | 99.33 291 | 96.91 364 | 99.57 142 | 99.30 341 | 98.47 127 | 99.41 205 | 98.99 411 | 96.78 163 | 99.74 263 | 98.73 186 | 99.38 183 | 98.74 339 |
|
| v2v482 | | | 98.06 266 | 97.77 288 | 98.92 256 | 98.90 389 | 98.82 229 | 99.57 142 | 99.36 302 | 96.65 359 | 99.19 267 | 99.35 356 | 94.20 303 | 99.25 373 | 97.72 304 | 94.97 409 | 98.69 352 |
|
| DSMNet-mixed | | | 97.25 372 | 97.35 345 | 96.95 430 | 97.84 449 | 93.61 456 | 99.57 142 | 96.63 478 | 96.13 402 | 98.87 326 | 98.61 436 | 94.59 284 | 97.70 466 | 95.08 420 | 98.86 252 | 99.55 217 |
|
| FE-MVSNET | | | 94.07 431 | 93.36 436 | 96.22 441 | 94.05 483 | 94.71 436 | 99.56 150 | 98.36 452 | 93.15 448 | 93.76 465 | 97.55 466 | 86.47 444 | 96.49 477 | 87.48 473 | 89.83 462 | 97.48 466 |
|
| reproduce_model | | | 99.63 9 | 99.54 13 | 99.90 8 | 99.78 70 | 99.88 10 | 99.56 150 | 99.55 100 | 99.15 38 | 99.90 34 | 99.90 37 | 99.00 24 | 99.97 29 | 99.11 122 | 99.91 46 | 99.86 42 |
|
| MVStest1 | | | 96.08 401 | 95.48 406 | 97.89 385 | 98.93 384 | 96.70 372 | 99.56 150 | 99.35 309 | 92.69 453 | 91.81 474 | 99.46 325 | 89.90 406 | 98.96 432 | 95.00 422 | 92.61 446 | 98.00 450 |
|
| fmvsm_l_conf0.5_n_a | | | 99.71 2 | 99.67 1 | 99.85 43 | 99.86 25 | 99.61 85 | 99.56 150 | 99.63 46 | 99.48 3 | 99.98 13 | 99.83 106 | 98.75 60 | 99.99 4 | 99.97 2 | 99.96 17 | 99.94 17 |
|
| fmvsm_l_conf0.5_n | | | 99.71 2 | 99.67 1 | 99.85 43 | 99.84 38 | 99.63 82 | 99.56 150 | 99.63 46 | 99.47 4 | 99.98 13 | 99.82 119 | 98.75 60 | 99.99 4 | 99.97 2 | 99.97 9 | 99.94 17 |
|
| sd_testset | | | 98.75 207 | 98.57 215 | 99.29 207 | 99.81 57 | 98.26 279 | 99.56 150 | 99.62 51 | 98.78 98 | 99.64 144 | 99.88 57 | 92.02 367 | 99.88 168 | 99.54 51 | 98.26 292 | 99.72 137 |
|
| KD-MVS_self_test | | | 95.00 421 | 94.34 425 | 96.96 429 | 97.07 464 | 95.39 420 | 99.56 150 | 99.44 258 | 95.11 420 | 97.13 436 | 97.32 471 | 91.86 371 | 97.27 471 | 90.35 462 | 81.23 477 | 98.23 435 |
|
| ETV-MVS | | | 99.26 92 | 99.21 84 | 99.40 181 | 99.46 253 | 99.30 138 | 99.56 150 | 99.52 134 | 98.52 122 | 99.44 194 | 99.27 378 | 98.41 93 | 99.86 181 | 99.10 125 | 99.59 168 | 99.04 307 |
|
| SMA-MVS |  | | 99.44 50 | 99.30 62 | 99.85 43 | 99.73 107 | 99.83 22 | 99.56 150 | 99.47 226 | 97.45 290 | 99.78 81 | 99.82 119 | 99.18 12 | 99.91 135 | 98.79 180 | 99.89 68 | 99.81 79 |
| 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 |
| AllTest | | | 98.87 181 | 98.72 189 | 99.31 199 | 99.86 25 | 98.48 268 | 99.56 150 | 99.61 60 | 97.85 237 | 99.36 222 | 99.85 85 | 95.95 208 | 99.85 187 | 96.66 382 | 99.83 113 | 99.59 206 |
|
| casdiffmvs |  | | 99.13 127 | 98.98 141 | 99.56 122 | 99.65 160 | 99.16 155 | 99.56 150 | 99.50 179 | 98.33 145 | 99.41 205 | 99.86 78 | 95.92 211 | 99.83 218 | 99.45 68 | 99.16 204 | 99.70 151 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| XXY-MVS | | | 98.38 235 | 98.09 251 | 99.24 217 | 99.26 312 | 99.32 131 | 99.56 150 | 99.55 100 | 97.45 290 | 98.71 347 | 99.83 106 | 93.23 332 | 99.63 312 | 98.88 156 | 96.32 373 | 98.76 333 |
|
| ACMH+ | | 97.24 10 | 97.92 292 | 97.78 286 | 98.32 348 | 99.46 253 | 96.68 376 | 99.56 150 | 99.54 109 | 98.41 135 | 97.79 420 | 99.87 70 | 90.18 404 | 99.66 297 | 98.05 271 | 97.18 357 | 98.62 387 |
|
| ACMM | | 97.58 5 | 98.37 237 | 98.34 230 | 98.48 325 | 99.41 268 | 97.10 339 | 99.56 150 | 99.45 249 | 98.53 121 | 99.04 297 | 99.85 85 | 93.00 337 | 99.71 279 | 98.74 184 | 97.45 342 | 98.64 378 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| LS3D | | | 99.27 89 | 99.12 97 | 99.74 80 | 99.18 333 | 99.75 51 | 99.56 150 | 99.57 85 | 98.45 130 | 99.49 184 | 99.85 85 | 97.77 118 | 99.94 92 | 98.33 241 | 99.84 102 | 99.52 226 |
|
| testing3-2 | | | 97.84 306 | 97.70 298 | 98.24 357 | 99.53 220 | 95.37 421 | 99.55 165 | 98.67 443 | 98.46 128 | 99.27 246 | 99.34 360 | 86.58 442 | 99.83 218 | 99.32 84 | 98.63 265 | 99.52 226 |
|
| test_fmvsmconf0.01_n | | | 99.22 100 | 99.03 117 | 99.79 68 | 98.42 441 | 99.48 111 | 99.55 165 | 99.51 156 | 99.39 22 | 99.78 81 | 99.93 10 | 94.80 265 | 99.95 76 | 99.93 23 | 99.95 23 | 99.94 17 |
|
| test_fmvs1 | | | 98.88 178 | 98.79 182 | 99.16 225 | 99.69 127 | 97.61 319 | 99.55 165 | 99.49 192 | 99.32 29 | 99.98 13 | 99.91 26 | 91.41 384 | 99.96 41 | 99.82 29 | 99.92 39 | 99.90 25 |
|
| v144192 | | | 97.92 292 | 97.60 310 | 98.87 274 | 98.83 401 | 98.65 244 | 99.55 165 | 99.34 314 | 96.20 394 | 99.32 231 | 99.40 340 | 94.36 296 | 99.26 372 | 96.37 393 | 95.03 408 | 98.70 348 |
|
| API-MVS | | | 99.04 159 | 99.03 117 | 99.06 235 | 99.40 273 | 99.31 135 | 99.55 165 | 99.56 90 | 98.54 120 | 99.33 230 | 99.39 344 | 98.76 57 | 99.78 251 | 96.98 364 | 99.78 134 | 98.07 443 |
|
| fmvsm_l_conf0.5_n_3 | | | 99.61 10 | 99.51 18 | 99.92 1 | 99.84 38 | 99.82 28 | 99.54 170 | 99.66 32 | 99.46 7 | 99.98 13 | 99.89 46 | 97.27 133 | 99.99 4 | 99.97 2 | 99.95 23 | 99.95 11 |
|
| fmvsm_s_conf0.1_n_a | | | 99.26 92 | 99.06 110 | 99.85 43 | 99.52 226 | 99.62 83 | 99.54 170 | 99.62 51 | 98.69 107 | 99.99 2 | 99.96 1 | 94.47 293 | 99.94 92 | 99.88 26 | 99.92 39 | 99.98 2 |
|
| APD_test1 | | | 95.87 403 | 96.49 385 | 94.00 448 | 99.53 220 | 84.01 477 | 99.54 170 | 99.32 332 | 95.91 410 | 97.99 409 | 99.85 85 | 85.49 451 | 99.88 168 | 91.96 455 | 98.84 254 | 98.12 440 |
|
| thisisatest0530 | | | 98.35 238 | 98.03 258 | 99.31 199 | 99.63 169 | 98.56 254 | 99.54 170 | 96.75 476 | 97.53 281 | 99.73 97 | 99.65 248 | 91.25 389 | 99.89 163 | 98.62 201 | 99.56 170 | 99.48 243 |
|
| MTMP | | | | | | | | 99.54 170 | 98.88 414 | | | | | | | | |
|
| v1144 | | | 97.98 283 | 97.69 299 | 98.85 280 | 98.87 394 | 98.66 243 | 99.54 170 | 99.35 309 | 96.27 389 | 99.23 257 | 99.35 356 | 94.67 279 | 99.23 376 | 96.73 377 | 95.16 405 | 98.68 357 |
|
| v148 | | | 97.79 318 | 97.55 312 | 98.50 322 | 98.74 415 | 97.72 312 | 99.54 170 | 99.33 322 | 96.26 390 | 98.90 320 | 99.51 306 | 94.68 278 | 99.14 394 | 97.83 288 | 93.15 440 | 98.63 385 |
|
| CostFormer | | | 97.72 330 | 97.73 295 | 97.71 403 | 99.15 347 | 94.02 448 | 99.54 170 | 99.02 392 | 94.67 432 | 99.04 297 | 99.35 356 | 92.35 363 | 99.77 253 | 98.50 222 | 97.94 310 | 99.34 276 |
|
| MVSTER | | | 98.49 223 | 98.32 232 | 99.00 243 | 99.35 285 | 99.02 175 | 99.54 170 | 99.38 292 | 97.41 297 | 99.20 264 | 99.73 205 | 93.86 320 | 99.36 353 | 98.87 159 | 97.56 330 | 98.62 387 |
|
| fmvsm_s_conf0.5_n_10 | | | 99.41 59 | 99.24 78 | 99.92 1 | 99.83 47 | 99.84 20 | 99.53 179 | 99.56 90 | 99.45 11 | 99.99 2 | 99.92 18 | 94.92 258 | 99.99 4 | 99.97 2 | 99.97 9 | 99.95 11 |
|
| fmvsm_s_conf0.1_n | | | 99.29 85 | 99.10 99 | 99.86 34 | 99.70 122 | 99.65 75 | 99.53 179 | 99.62 51 | 98.74 101 | 99.99 2 | 99.95 3 | 94.53 291 | 99.94 92 | 99.89 25 | 99.96 17 | 99.97 4 |
|
| E4 | | | 99.13 127 | 99.01 134 | 99.49 156 | 99.68 134 | 98.90 209 | 99.52 181 | 99.52 134 | 98.13 183 | 99.71 112 | 99.90 37 | 96.32 188 | 99.84 196 | 99.21 106 | 99.11 218 | 99.75 113 |
|
| reproduce-ours | | | 99.61 10 | 99.52 14 | 99.90 8 | 99.76 82 | 99.88 10 | 99.52 181 | 99.54 109 | 99.13 41 | 99.89 40 | 99.89 46 | 98.96 27 | 99.96 41 | 99.04 132 | 99.90 57 | 99.85 46 |
|
| our_new_method | | | 99.61 10 | 99.52 14 | 99.90 8 | 99.76 82 | 99.88 10 | 99.52 181 | 99.54 109 | 99.13 41 | 99.89 40 | 99.89 46 | 98.96 27 | 99.96 41 | 99.04 132 | 99.90 57 | 99.85 46 |
|
| fmvsm_s_conf0.5_n_a | | | 99.56 21 | 99.47 24 | 99.85 43 | 99.83 47 | 99.64 81 | 99.52 181 | 99.65 39 | 99.10 48 | 99.98 13 | 99.92 18 | 97.35 129 | 99.96 41 | 99.94 21 | 99.92 39 | 99.95 11 |
|
| MM | | | 99.40 64 | 99.28 69 | 99.74 80 | 99.67 137 | 99.31 135 | 99.52 181 | 98.87 416 | 99.55 1 | 99.74 95 | 99.80 152 | 96.47 180 | 99.98 20 | 99.97 2 | 99.97 9 | 99.94 17 |
|
| patch_mono-2 | | | 99.26 92 | 99.62 6 | 98.16 362 | 99.81 57 | 94.59 440 | 99.52 181 | 99.64 42 | 99.33 28 | 99.73 97 | 99.90 37 | 99.00 24 | 99.99 4 | 99.69 35 | 99.98 4 | 99.89 29 |
|
| Fast-Effi-MVS+-dtu | | | 98.77 206 | 98.83 178 | 98.60 307 | 99.41 268 | 96.99 354 | 99.52 181 | 99.49 192 | 98.11 193 | 99.24 253 | 99.34 360 | 96.96 152 | 99.79 245 | 97.95 277 | 99.45 179 | 99.02 310 |
|
| Fast-Effi-MVS+ | | | 98.70 211 | 98.43 224 | 99.51 144 | 99.51 229 | 99.28 141 | 99.52 181 | 99.47 226 | 96.11 403 | 99.01 300 | 99.34 360 | 96.20 197 | 99.84 196 | 97.88 281 | 98.82 256 | 99.39 267 |
|
| v1921920 | | | 97.80 316 | 97.45 328 | 98.84 281 | 98.80 403 | 98.53 257 | 99.52 181 | 99.34 314 | 96.15 400 | 99.24 253 | 99.47 321 | 93.98 314 | 99.29 365 | 95.40 414 | 95.13 406 | 98.69 352 |
|
| MIMVSNet1 | | | 95.51 410 | 95.04 414 | 96.92 432 | 97.38 456 | 95.60 410 | 99.52 181 | 99.50 179 | 93.65 442 | 96.97 440 | 99.17 389 | 85.28 454 | 96.56 476 | 88.36 469 | 95.55 397 | 98.60 399 |
|
| FE-MVSNET2 | | | 95.10 418 | 94.44 423 | 97.08 426 | 95.08 479 | 95.97 399 | 99.51 191 | 99.37 300 | 95.02 424 | 94.10 462 | 97.57 465 | 86.18 446 | 97.66 468 | 93.28 443 | 89.86 461 | 97.61 461 |
|
| viewmacassd2359aftdt | | | 99.08 149 | 98.94 152 | 99.50 149 | 99.66 150 | 98.96 187 | 99.51 191 | 99.54 109 | 98.27 152 | 99.42 200 | 99.89 46 | 95.88 215 | 99.80 239 | 99.20 107 | 99.11 218 | 99.76 107 |
|
| SSM_0407 | | | 99.13 127 | 99.03 117 | 99.43 177 | 99.62 178 | 98.88 213 | 99.51 191 | 99.50 179 | 98.14 180 | 99.37 216 | 99.85 85 | 96.85 155 | 99.83 218 | 99.19 108 | 99.25 197 | 99.60 195 |
|
| fmvsm_s_conf0.5_n_8 | | | 99.54 24 | 99.42 32 | 99.89 11 | 99.83 47 | 99.74 54 | 99.51 191 | 99.62 51 | 99.46 7 | 99.99 2 | 99.90 37 | 96.60 172 | 99.98 20 | 99.95 16 | 99.95 23 | 99.96 7 |
|
| fmvsm_s_conf0.5_n | | | 99.51 29 | 99.40 38 | 99.85 43 | 99.84 38 | 99.65 75 | 99.51 191 | 99.67 27 | 99.13 41 | 99.98 13 | 99.92 18 | 96.60 172 | 99.96 41 | 99.95 16 | 99.96 17 | 99.95 11 |
|
| UniMVSNet_ETH3D | | | 97.32 369 | 96.81 377 | 98.87 274 | 99.40 273 | 97.46 323 | 99.51 191 | 99.53 125 | 95.86 411 | 98.54 375 | 99.77 185 | 82.44 467 | 99.66 297 | 98.68 194 | 97.52 334 | 99.50 239 |
|
| alignmvs | | | 98.81 197 | 98.56 217 | 99.58 116 | 99.43 261 | 99.42 118 | 99.51 191 | 98.96 399 | 98.61 113 | 99.35 225 | 98.92 421 | 94.78 267 | 99.77 253 | 99.35 76 | 98.11 305 | 99.54 219 |
|
| v1192 | | | 97.81 314 | 97.44 333 | 98.91 260 | 98.88 391 | 98.68 241 | 99.51 191 | 99.34 314 | 96.18 396 | 99.20 264 | 99.34 360 | 94.03 312 | 99.36 353 | 95.32 416 | 95.18 404 | 98.69 352 |
|
| test20.03 | | | 96.12 399 | 95.96 398 | 96.63 436 | 97.44 455 | 95.45 417 | 99.51 191 | 99.38 292 | 96.55 370 | 96.16 449 | 99.25 381 | 93.76 324 | 96.17 478 | 87.35 475 | 94.22 422 | 98.27 431 |
|
| mvs_anonymous | | | 99.03 161 | 98.99 138 | 99.16 225 | 99.38 278 | 98.52 261 | 99.51 191 | 99.38 292 | 97.79 247 | 99.38 214 | 99.81 134 | 97.30 131 | 99.45 331 | 99.35 76 | 98.99 239 | 99.51 235 |
|
| TAMVS | | | 99.12 135 | 99.08 105 | 99.24 217 | 99.46 253 | 98.55 255 | 99.51 191 | 99.46 238 | 98.09 197 | 99.45 189 | 99.82 119 | 98.34 97 | 99.51 325 | 98.70 189 | 98.93 242 | 99.67 164 |
|
| viewdifsd2359ckpt13 | | | 99.06 154 | 98.93 154 | 99.45 169 | 99.63 169 | 98.96 187 | 99.50 202 | 99.51 156 | 97.83 241 | 99.28 240 | 99.80 152 | 96.68 169 | 99.71 279 | 99.05 131 | 99.12 216 | 99.68 160 |
|
| viewdifsd2359ckpt11 | | | 98.78 202 | 98.74 187 | 98.89 266 | 99.67 137 | 97.04 348 | 99.50 202 | 99.58 78 | 98.26 155 | 99.56 167 | 99.90 37 | 94.36 296 | 99.87 175 | 99.49 61 | 98.32 288 | 99.77 100 |
|
| viewmsd2359difaftdt | | | 98.78 202 | 98.74 187 | 98.90 262 | 99.67 137 | 97.04 348 | 99.50 202 | 99.58 78 | 98.26 155 | 99.56 167 | 99.90 37 | 94.36 296 | 99.87 175 | 99.49 61 | 98.32 288 | 99.77 100 |
|
| IMVS_0407 | | | 98.86 184 | 98.91 158 | 98.72 296 | 99.55 212 | 96.93 359 | 99.50 202 | 99.44 258 | 98.05 209 | 99.66 130 | 99.80 152 | 97.13 139 | 99.65 302 | 98.15 258 | 98.92 244 | 99.60 195 |
|
| viewmanbaseed2359cas | | | 99.18 104 | 99.07 109 | 99.50 149 | 99.62 178 | 99.01 177 | 99.50 202 | 99.52 134 | 98.25 160 | 99.68 119 | 99.82 119 | 96.93 153 | 99.80 239 | 99.15 118 | 99.11 218 | 99.70 151 |
|
| fmvsm_s_conf0.5_n_6 | | | 99.54 24 | 99.44 31 | 99.85 43 | 99.51 229 | 99.67 68 | 99.50 202 | 99.64 42 | 99.43 17 | 99.98 13 | 99.78 176 | 97.26 136 | 99.95 76 | 99.95 16 | 99.93 33 | 99.92 23 |
|
| test_fmvsmconf0.1_n | | | 99.55 23 | 99.45 30 | 99.86 34 | 99.44 260 | 99.65 75 | 99.50 202 | 99.61 60 | 99.45 11 | 99.87 49 | 99.92 18 | 97.31 130 | 99.97 29 | 99.95 16 | 99.99 1 | 99.97 4 |
|
| test_yl | | | 98.86 184 | 98.63 203 | 99.54 125 | 99.49 243 | 99.18 152 | 99.50 202 | 99.07 385 | 98.22 166 | 99.61 156 | 99.51 306 | 95.37 236 | 99.84 196 | 98.60 207 | 98.33 284 | 99.59 206 |
|
| DCV-MVSNet | | | 98.86 184 | 98.63 203 | 99.54 125 | 99.49 243 | 99.18 152 | 99.50 202 | 99.07 385 | 98.22 166 | 99.61 156 | 99.51 306 | 95.37 236 | 99.84 196 | 98.60 207 | 98.33 284 | 99.59 206 |
|
| tfpn200view9 | | | 97.72 330 | 97.38 341 | 98.72 296 | 99.69 127 | 97.96 297 | 99.50 202 | 98.73 439 | 97.83 241 | 99.17 272 | 98.45 441 | 91.67 377 | 99.83 218 | 93.22 444 | 98.18 300 | 98.37 427 |
|
| UA-Net | | | 99.42 55 | 99.29 66 | 99.80 64 | 99.62 178 | 99.55 96 | 99.50 202 | 99.70 18 | 98.79 95 | 99.77 85 | 99.96 1 | 97.45 124 | 99.96 41 | 98.92 152 | 99.90 57 | 99.89 29 |
|
| pm-mvs1 | | | 97.68 338 | 97.28 357 | 98.88 270 | 99.06 363 | 98.62 249 | 99.50 202 | 99.45 249 | 96.32 385 | 97.87 416 | 99.79 169 | 92.47 357 | 99.35 356 | 97.54 321 | 93.54 433 | 98.67 365 |
|
| EI-MVSNet | | | 98.67 214 | 98.67 195 | 98.68 302 | 99.35 285 | 97.97 295 | 99.50 202 | 99.38 292 | 96.93 343 | 99.20 264 | 99.83 106 | 97.87 114 | 99.36 353 | 98.38 234 | 97.56 330 | 98.71 343 |
|
| CVMVSNet | | | 98.57 221 | 98.67 195 | 98.30 350 | 99.35 285 | 95.59 411 | 99.50 202 | 99.55 100 | 98.60 115 | 99.39 212 | 99.83 106 | 94.48 292 | 99.45 331 | 98.75 183 | 98.56 272 | 99.85 46 |
|
| VPA-MVSNet | | | 98.29 243 | 97.95 267 | 99.30 204 | 99.16 343 | 99.54 98 | 99.50 202 | 99.58 78 | 98.27 152 | 99.35 225 | 99.37 350 | 92.53 355 | 99.65 302 | 99.35 76 | 94.46 417 | 98.72 341 |
|
| thres400 | | | 97.77 319 | 97.38 341 | 98.92 256 | 99.69 127 | 97.96 297 | 99.50 202 | 98.73 439 | 97.83 241 | 99.17 272 | 98.45 441 | 91.67 377 | 99.83 218 | 93.22 444 | 98.18 300 | 98.96 317 |
|
| APD-MVS |  | | 99.27 89 | 99.08 105 | 99.84 55 | 99.75 92 | 99.79 41 | 99.50 202 | 99.50 179 | 97.16 318 | 99.77 85 | 99.82 119 | 98.78 53 | 99.94 92 | 97.56 319 | 99.86 87 | 99.80 88 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| E2 | | | 99.15 115 | 99.03 117 | 99.49 156 | 99.65 160 | 98.93 202 | 99.49 219 | 99.52 134 | 98.14 180 | 99.72 102 | 99.88 57 | 96.57 176 | 99.84 196 | 99.17 114 | 99.13 211 | 99.72 137 |
|
| E3 | | | 99.15 115 | 99.03 117 | 99.49 156 | 99.62 178 | 98.91 204 | 99.49 219 | 99.52 134 | 98.13 183 | 99.72 102 | 99.88 57 | 96.61 171 | 99.84 196 | 99.17 114 | 99.13 211 | 99.72 137 |
|
| SSM_0404 | | | 99.16 111 | 99.06 110 | 99.44 174 | 99.65 160 | 98.96 187 | 99.49 219 | 99.50 179 | 98.14 180 | 99.62 151 | 99.85 85 | 96.85 155 | 99.85 187 | 99.19 108 | 99.26 196 | 99.52 226 |
|
| fmvsm_s_conf0.5_n_4 | | | 99.36 72 | 99.24 78 | 99.73 83 | 99.78 70 | 99.53 101 | 99.49 219 | 99.60 67 | 99.42 20 | 99.99 2 | 99.86 78 | 95.15 248 | 99.95 76 | 99.95 16 | 99.89 68 | 99.73 127 |
|
| test_vis1_rt | | | 95.81 405 | 95.65 404 | 96.32 440 | 99.67 137 | 91.35 468 | 99.49 219 | 96.74 477 | 98.25 160 | 95.24 454 | 98.10 456 | 74.96 476 | 99.90 148 | 99.53 53 | 98.85 253 | 97.70 460 |
|
| TransMVSNet (Re) | | | 97.15 376 | 96.58 382 | 98.86 277 | 99.12 349 | 98.85 221 | 99.49 219 | 98.91 409 | 95.48 415 | 97.16 435 | 99.80 152 | 93.38 328 | 99.11 403 | 94.16 434 | 91.73 450 | 98.62 387 |
|
| UniMVSNet (Re) | | | 98.29 243 | 98.00 261 | 99.13 230 | 99.00 373 | 99.36 126 | 99.49 219 | 99.51 156 | 97.95 225 | 98.97 309 | 99.13 394 | 96.30 192 | 99.38 346 | 98.36 238 | 93.34 435 | 98.66 374 |
|
| EPMVS | | | 97.82 312 | 97.65 303 | 98.35 345 | 98.88 391 | 95.98 398 | 99.49 219 | 94.71 486 | 97.57 274 | 99.26 251 | 99.48 318 | 92.46 360 | 99.71 279 | 97.87 283 | 99.08 231 | 99.35 273 |
|
| viewcassd2359sk11 | | | 99.18 104 | 99.08 105 | 99.49 156 | 99.65 160 | 98.95 193 | 99.48 227 | 99.51 156 | 98.10 196 | 99.72 102 | 99.87 70 | 97.13 139 | 99.84 196 | 99.13 119 | 99.14 208 | 99.69 154 |
|
| fmvsm_s_conf0.5_n_9 | | | 99.41 59 | 99.28 69 | 99.81 60 | 99.84 38 | 99.52 105 | 99.48 227 | 99.62 51 | 99.46 7 | 99.99 2 | 99.92 18 | 95.24 245 | 99.96 41 | 99.97 2 | 99.97 9 | 99.96 7 |
|
| SSC-MVS3.2 | | | 97.34 367 | 97.15 364 | 97.93 381 | 99.02 370 | 95.76 407 | 99.48 227 | 99.58 78 | 97.62 269 | 99.09 286 | 99.53 298 | 87.95 431 | 99.27 369 | 96.42 389 | 95.66 393 | 98.75 335 |
|
| fmvsm_s_conf0.5_n_3 | | | 99.37 68 | 99.20 86 | 99.87 21 | 99.75 92 | 99.70 60 | 99.48 227 | 99.66 32 | 99.45 11 | 99.99 2 | 99.93 10 | 94.64 283 | 99.97 29 | 99.94 21 | 99.97 9 | 99.95 11 |
|
| test_fmvsmconf_n | | | 99.70 4 | 99.64 5 | 99.87 21 | 99.80 63 | 99.66 71 | 99.48 227 | 99.64 42 | 99.45 11 | 99.92 30 | 99.92 18 | 98.62 76 | 99.99 4 | 99.96 13 | 99.99 1 | 99.96 7 |
|
| Anonymous20231211 | | | 97.88 297 | 97.54 315 | 98.90 262 | 99.71 117 | 98.53 257 | 99.48 227 | 99.57 85 | 94.16 437 | 98.81 336 | 99.68 235 | 93.23 332 | 99.42 342 | 98.84 169 | 94.42 419 | 98.76 333 |
|
| v1240 | | | 97.69 335 | 97.32 352 | 98.79 289 | 98.85 398 | 98.43 272 | 99.48 227 | 99.36 302 | 96.11 403 | 99.27 246 | 99.36 353 | 93.76 324 | 99.24 375 | 94.46 428 | 95.23 403 | 98.70 348 |
|
| VPNet | | | 97.84 306 | 97.44 333 | 99.01 241 | 99.21 325 | 98.94 197 | 99.48 227 | 99.57 85 | 98.38 137 | 99.28 240 | 99.73 205 | 88.89 416 | 99.39 344 | 99.19 108 | 93.27 437 | 98.71 343 |
|
| UniMVSNet_NR-MVSNet | | | 98.22 246 | 97.97 264 | 98.96 248 | 98.92 386 | 98.98 180 | 99.48 227 | 99.53 125 | 97.76 251 | 98.71 347 | 99.46 325 | 96.43 184 | 99.22 381 | 98.57 213 | 92.87 443 | 98.69 352 |
|
| TDRefinement | | | 95.42 413 | 94.57 421 | 97.97 377 | 89.83 489 | 96.11 397 | 99.48 227 | 98.75 430 | 96.74 352 | 96.68 443 | 99.88 57 | 88.65 422 | 99.71 279 | 98.37 236 | 82.74 474 | 98.09 442 |
|
| fmvsm_l_conf0.5_n_9 | | | 99.58 16 | 99.47 24 | 99.92 1 | 99.85 31 | 99.82 28 | 99.47 237 | 99.63 46 | 99.45 11 | 99.98 13 | 99.89 46 | 97.02 148 | 99.99 4 | 99.98 1 | 99.96 17 | 99.95 11 |
|
| ACMMP_NAP | | | 99.47 40 | 99.34 50 | 99.88 15 | 99.87 20 | 99.86 18 | 99.47 237 | 99.48 204 | 98.05 209 | 99.76 91 | 99.86 78 | 98.82 48 | 99.93 110 | 98.82 179 | 99.91 46 | 99.84 53 |
|
| NR-MVSNet | | | 97.97 286 | 97.61 309 | 99.02 240 | 98.87 394 | 99.26 144 | 99.47 237 | 99.42 271 | 97.63 267 | 97.08 437 | 99.50 309 | 95.07 251 | 99.13 397 | 97.86 284 | 93.59 432 | 98.68 357 |
|
| PVSNet_Blended_VisFu | | | 99.36 72 | 99.28 69 | 99.61 109 | 99.86 25 | 99.07 170 | 99.47 237 | 99.93 2 | 97.66 265 | 99.71 112 | 99.86 78 | 97.73 119 | 99.96 41 | 99.47 66 | 99.82 117 | 99.79 92 |
|
| E3new | | | 99.18 104 | 99.08 105 | 99.48 160 | 99.63 169 | 98.94 197 | 99.46 241 | 99.50 179 | 98.06 206 | 99.72 102 | 99.84 100 | 97.27 133 | 99.84 196 | 99.10 125 | 99.13 211 | 99.67 164 |
|
| LuminaMVS | | | 99.23 98 | 99.10 99 | 99.61 109 | 99.35 285 | 99.31 135 | 99.46 241 | 99.13 376 | 98.61 113 | 99.86 53 | 99.89 46 | 96.41 186 | 99.91 135 | 99.67 37 | 99.51 174 | 99.63 187 |
|
| fmvsm_s_conf0.1_n_2 | | | 99.37 68 | 99.22 83 | 99.81 60 | 99.77 78 | 99.75 51 | 99.46 241 | 99.60 67 | 99.47 4 | 99.98 13 | 99.94 6 | 94.98 252 | 99.95 76 | 99.97 2 | 99.79 132 | 99.73 127 |
|
| SD-MVS | | | 99.41 59 | 99.52 14 | 99.05 237 | 99.74 100 | 99.68 64 | 99.46 241 | 99.52 134 | 99.11 47 | 99.88 43 | 99.91 26 | 99.43 1 | 97.70 466 | 98.72 187 | 99.93 33 | 99.77 100 |
| 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 |
| viewdifsd2359ckpt07 | | | 99.11 141 | 99.00 137 | 99.43 177 | 99.63 169 | 98.73 237 | 99.45 245 | 99.54 109 | 98.33 145 | 99.62 151 | 99.81 134 | 96.17 198 | 99.87 175 | 99.27 99 | 99.14 208 | 99.69 154 |
|
| testing3 | | | 97.28 370 | 96.76 379 | 98.82 283 | 99.37 281 | 98.07 290 | 99.45 245 | 99.36 302 | 97.56 276 | 97.89 415 | 98.95 416 | 83.70 461 | 98.82 440 | 96.03 397 | 98.56 272 | 99.58 210 |
|
| tt0805 | | | 97.97 286 | 97.77 288 | 98.57 312 | 99.59 197 | 96.61 379 | 99.45 245 | 99.08 382 | 98.21 168 | 98.88 323 | 99.80 152 | 88.66 421 | 99.70 286 | 98.58 210 | 97.72 320 | 99.39 267 |
|
| tpm2 | | | 97.44 362 | 97.34 348 | 97.74 402 | 99.15 347 | 94.36 445 | 99.45 245 | 98.94 400 | 93.45 446 | 98.90 320 | 99.44 328 | 91.35 386 | 99.59 316 | 97.31 341 | 98.07 306 | 99.29 280 |
|
| FMVSNet2 | | | 97.72 330 | 97.36 343 | 98.80 288 | 99.51 229 | 98.84 223 | 99.45 245 | 99.42 271 | 96.49 373 | 98.86 331 | 99.29 373 | 90.26 400 | 98.98 423 | 96.44 388 | 96.56 367 | 98.58 404 |
|
| CDS-MVSNet | | | 99.09 147 | 99.03 117 | 99.25 214 | 99.42 263 | 98.73 237 | 99.45 245 | 99.46 238 | 98.11 193 | 99.46 188 | 99.77 185 | 98.01 112 | 99.37 349 | 98.70 189 | 98.92 244 | 99.66 169 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| MAR-MVS | | | 98.86 184 | 98.63 203 | 99.54 125 | 99.37 281 | 99.66 71 | 99.45 245 | 99.54 109 | 96.61 364 | 99.01 300 | 99.40 340 | 97.09 143 | 99.86 181 | 97.68 309 | 99.53 173 | 99.10 295 |
| 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 |
| viewdifsd2359ckpt09 | | | 99.01 166 | 98.87 168 | 99.40 181 | 99.62 178 | 98.79 232 | 99.44 252 | 99.51 156 | 97.76 251 | 99.35 225 | 99.69 227 | 96.42 185 | 99.75 260 | 98.97 144 | 99.11 218 | 99.66 169 |
|
| fmvsm_s_conf0.5_n_2 | | | 99.32 79 | 99.13 95 | 99.89 11 | 99.80 63 | 99.77 48 | 99.44 252 | 99.58 78 | 99.47 4 | 99.99 2 | 99.93 10 | 94.04 311 | 99.96 41 | 99.96 13 | 99.93 33 | 99.93 22 |
|
| UGNet | | | 98.87 181 | 98.69 193 | 99.40 181 | 99.22 324 | 98.72 239 | 99.44 252 | 99.68 24 | 99.24 32 | 99.18 271 | 99.42 332 | 92.74 345 | 99.96 41 | 99.34 81 | 99.94 31 | 99.53 225 |
| 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 |
| ab-mvs | | | 98.86 184 | 98.63 203 | 99.54 125 | 99.64 165 | 99.19 150 | 99.44 252 | 99.54 109 | 97.77 250 | 99.30 236 | 99.81 134 | 94.20 303 | 99.93 110 | 99.17 114 | 98.82 256 | 99.49 240 |
|
| test_0402 | | | 96.64 388 | 96.24 390 | 97.85 389 | 98.85 398 | 96.43 385 | 99.44 252 | 99.26 354 | 93.52 443 | 96.98 439 | 99.52 302 | 88.52 425 | 99.20 388 | 92.58 454 | 97.50 337 | 97.93 455 |
|
| ACMP | | 97.20 11 | 98.06 266 | 97.94 269 | 98.45 333 | 99.37 281 | 97.01 352 | 99.44 252 | 99.49 192 | 97.54 280 | 98.45 380 | 99.79 169 | 91.95 369 | 99.72 273 | 97.91 279 | 97.49 340 | 98.62 387 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| GG-mvs-BLEND | | | | | 98.45 333 | 98.55 436 | 98.16 283 | 99.43 258 | 93.68 488 | | 97.23 431 | 98.46 440 | 89.30 412 | 99.22 381 | 95.43 413 | 98.22 295 | 97.98 452 |
|
| HPM-MVS++ |  | | 99.39 66 | 99.23 82 | 99.87 21 | 99.75 92 | 99.84 20 | 99.43 258 | 99.51 156 | 98.68 109 | 99.27 246 | 99.53 298 | 98.64 75 | 99.96 41 | 98.44 229 | 99.80 125 | 99.79 92 |
|
| tpm cat1 | | | 97.39 364 | 97.36 343 | 97.50 414 | 99.17 341 | 93.73 451 | 99.43 258 | 99.31 336 | 91.27 461 | 98.71 347 | 99.08 398 | 94.31 301 | 99.77 253 | 96.41 391 | 98.50 276 | 99.00 311 |
|
| tpm | | | 97.67 341 | 97.55 312 | 98.03 370 | 99.02 370 | 95.01 429 | 99.43 258 | 98.54 449 | 96.44 379 | 99.12 278 | 99.34 360 | 91.83 372 | 99.60 315 | 97.75 300 | 96.46 369 | 99.48 243 |
|
| GBi-Net | | | 97.68 338 | 97.48 322 | 98.29 351 | 99.51 229 | 97.26 332 | 99.43 258 | 99.48 204 | 96.49 373 | 99.07 289 | 99.32 368 | 90.26 400 | 98.98 423 | 97.10 356 | 96.65 364 | 98.62 387 |
|
| test1 | | | 97.68 338 | 97.48 322 | 98.29 351 | 99.51 229 | 97.26 332 | 99.43 258 | 99.48 204 | 96.49 373 | 99.07 289 | 99.32 368 | 90.26 400 | 98.98 423 | 97.10 356 | 96.65 364 | 98.62 387 |
|
| FMVSNet1 | | | 96.84 384 | 96.36 388 | 98.29 351 | 99.32 298 | 97.26 332 | 99.43 258 | 99.48 204 | 95.11 420 | 98.55 374 | 99.32 368 | 83.95 460 | 98.98 423 | 95.81 402 | 96.26 375 | 98.62 387 |
|
| fmvsm_s_conf0.5_n_7 | | | 99.34 75 | 99.29 66 | 99.48 160 | 99.70 122 | 98.63 247 | 99.42 265 | 99.63 46 | 99.46 7 | 99.98 13 | 99.88 57 | 95.59 228 | 99.96 41 | 99.97 2 | 99.98 4 | 99.85 46 |
|
| fmvsm_s_conf0.5_n_5 | | | 99.37 68 | 99.21 84 | 99.86 34 | 99.80 63 | 99.68 64 | 99.42 265 | 99.61 60 | 99.37 24 | 99.97 25 | 99.86 78 | 94.96 253 | 99.99 4 | 99.97 2 | 99.93 33 | 99.92 23 |
|
| mamv4 | | | 99.33 77 | 99.42 32 | 99.07 233 | 99.67 137 | 97.73 310 | 99.42 265 | 99.60 67 | 98.15 175 | 99.94 28 | 99.91 26 | 98.42 91 | 99.94 92 | 99.72 32 | 99.96 17 | 99.54 219 |
|
| testgi | | | 97.65 343 | 97.50 320 | 98.13 366 | 99.36 284 | 96.45 384 | 99.42 265 | 99.48 204 | 97.76 251 | 97.87 416 | 99.45 327 | 91.09 392 | 98.81 441 | 94.53 427 | 98.52 275 | 99.13 294 |
|
| F-COLMAP | | | 99.19 101 | 99.04 114 | 99.64 101 | 99.78 70 | 99.27 143 | 99.42 265 | 99.54 109 | 97.29 307 | 99.41 205 | 99.59 274 | 98.42 91 | 99.93 110 | 98.19 252 | 99.69 153 | 99.73 127 |
|
| Anonymous202405211 | | | 98.30 242 | 97.98 263 | 99.26 213 | 99.57 204 | 98.16 283 | 99.41 270 | 98.55 448 | 96.03 408 | 99.19 267 | 99.74 199 | 91.87 370 | 99.92 123 | 99.16 117 | 98.29 291 | 99.70 151 |
|
| MSLP-MVS++ | | | 99.46 42 | 99.47 24 | 99.44 174 | 99.60 195 | 99.16 155 | 99.41 270 | 99.71 16 | 98.98 72 | 99.45 189 | 99.78 176 | 99.19 11 | 99.54 323 | 99.28 96 | 99.84 102 | 99.63 187 |
|
| VNet | | | 99.11 141 | 98.90 160 | 99.73 83 | 99.52 226 | 99.56 94 | 99.41 270 | 99.39 284 | 99.01 64 | 99.74 95 | 99.78 176 | 95.56 229 | 99.92 123 | 99.52 55 | 98.18 300 | 99.72 137 |
|
| baseline2 | | | 97.87 299 | 97.55 312 | 98.82 283 | 99.18 333 | 98.02 292 | 99.41 270 | 96.58 480 | 96.97 337 | 96.51 444 | 99.17 389 | 93.43 327 | 99.57 318 | 97.71 305 | 99.03 235 | 98.86 321 |
|
| DU-MVS | | | 98.08 264 | 97.79 283 | 98.96 248 | 98.87 394 | 98.98 180 | 99.41 270 | 99.45 249 | 97.87 233 | 98.71 347 | 99.50 309 | 94.82 263 | 99.22 381 | 98.57 213 | 92.87 443 | 98.68 357 |
|
| Baseline_NR-MVSNet | | | 97.76 320 | 97.45 328 | 98.68 302 | 99.09 357 | 98.29 277 | 99.41 270 | 98.85 418 | 95.65 413 | 98.63 365 | 99.67 241 | 94.82 263 | 99.10 405 | 98.07 270 | 92.89 442 | 98.64 378 |
|
| XVG-ACMP-BASELINE | | | 97.83 309 | 97.71 297 | 98.20 359 | 99.11 351 | 96.33 388 | 99.41 270 | 99.52 134 | 98.06 206 | 99.05 296 | 99.50 309 | 89.64 410 | 99.73 269 | 97.73 302 | 97.38 349 | 98.53 408 |
|
| DP-MVS | | | 99.16 111 | 98.95 150 | 99.78 71 | 99.77 78 | 99.53 101 | 99.41 270 | 99.50 179 | 97.03 334 | 99.04 297 | 99.88 57 | 97.39 125 | 99.92 123 | 98.66 196 | 99.90 57 | 99.87 40 |
|
| 9.14 | | | | 99.10 99 | | 99.72 111 | | 99.40 278 | 99.51 156 | 97.53 281 | 99.64 144 | 99.78 176 | 98.84 46 | 99.91 135 | 97.63 310 | 99.82 117 | |
|
| D2MVS | | | 98.41 231 | 98.50 221 | 98.15 365 | 99.26 312 | 96.62 378 | 99.40 278 | 99.61 60 | 97.71 257 | 98.98 307 | 99.36 353 | 96.04 203 | 99.67 294 | 98.70 189 | 97.41 347 | 98.15 439 |
|
| Anonymous20240529 | | | 98.09 261 | 97.68 300 | 99.34 191 | 99.66 150 | 98.44 271 | 99.40 278 | 99.43 269 | 93.67 441 | 99.22 258 | 99.89 46 | 90.23 403 | 99.93 110 | 99.26 102 | 98.33 284 | 99.66 169 |
|
| FMVSNet3 | | | 98.03 274 | 97.76 292 | 98.84 281 | 99.39 276 | 98.98 180 | 99.40 278 | 99.38 292 | 96.67 357 | 99.07 289 | 99.28 375 | 92.93 338 | 98.98 423 | 97.10 356 | 96.65 364 | 98.56 406 |
|
| LFMVS | | | 97.90 295 | 97.35 345 | 99.54 125 | 99.52 226 | 99.01 177 | 99.39 282 | 98.24 456 | 97.10 326 | 99.65 139 | 99.79 169 | 84.79 456 | 99.91 135 | 99.28 96 | 98.38 281 | 99.69 154 |
|
| HQP_MVS | | | 98.27 245 | 98.22 238 | 98.44 336 | 99.29 304 | 96.97 356 | 99.39 282 | 99.47 226 | 98.97 75 | 99.11 280 | 99.61 269 | 92.71 348 | 99.69 291 | 97.78 294 | 97.63 323 | 98.67 365 |
|
| plane_prior2 | | | | | | | | 99.39 282 | | 98.97 75 | | | | | | | |
|
| CHOSEN 1792x2688 | | | 99.19 101 | 99.10 99 | 99.45 169 | 99.89 8 | 98.52 261 | 99.39 282 | 99.94 1 | 98.73 102 | 99.11 280 | 99.89 46 | 95.50 231 | 99.94 92 | 99.50 57 | 99.97 9 | 99.89 29 |
|
| PAPM_NR | | | 99.04 159 | 98.84 176 | 99.66 91 | 99.74 100 | 99.44 116 | 99.39 282 | 99.38 292 | 97.70 260 | 99.28 240 | 99.28 375 | 98.34 97 | 99.85 187 | 96.96 366 | 99.45 179 | 99.69 154 |
|
| gg-mvs-nofinetune | | | 96.17 398 | 95.32 410 | 98.73 294 | 98.79 404 | 98.14 285 | 99.38 287 | 94.09 487 | 91.07 464 | 98.07 407 | 91.04 485 | 89.62 411 | 99.35 356 | 96.75 376 | 99.09 230 | 98.68 357 |
|
| VDDNet | | | 97.55 349 | 97.02 371 | 99.16 225 | 99.49 243 | 98.12 288 | 99.38 287 | 99.30 341 | 95.35 416 | 99.68 119 | 99.90 37 | 82.62 466 | 99.93 110 | 99.31 86 | 98.13 304 | 99.42 261 |
|
| ME-MVS | | | 99.56 21 | 99.46 28 | 99.86 34 | 99.80 63 | 99.81 33 | 99.37 289 | 99.70 18 | 99.18 34 | 99.83 64 | 99.83 106 | 98.74 65 | 99.93 110 | 98.83 172 | 99.89 68 | 99.83 63 |
|
| MGCNet | | | 99.15 115 | 98.96 146 | 99.73 83 | 98.92 386 | 99.37 123 | 99.37 289 | 96.92 473 | 99.51 2 | 99.66 130 | 99.78 176 | 96.69 167 | 99.97 29 | 99.84 28 | 99.97 9 | 99.84 53 |
|
| pmmvs6 | | | 96.53 390 | 96.09 395 | 97.82 396 | 98.69 423 | 95.47 416 | 99.37 289 | 99.47 226 | 93.46 445 | 97.41 425 | 99.78 176 | 87.06 440 | 99.33 359 | 96.92 371 | 92.70 445 | 98.65 376 |
|
| PM-MVS | | | 92.96 436 | 92.23 440 | 95.14 445 | 95.61 474 | 89.98 471 | 99.37 289 | 98.21 458 | 94.80 430 | 95.04 459 | 97.69 462 | 65.06 480 | 97.90 462 | 94.30 429 | 89.98 460 | 97.54 465 |
|
| WTY-MVS | | | 99.06 154 | 98.88 167 | 99.61 109 | 99.62 178 | 99.16 155 | 99.37 289 | 99.56 90 | 98.04 216 | 99.53 176 | 99.62 265 | 96.84 159 | 99.94 92 | 98.85 166 | 98.49 277 | 99.72 137 |
|
| IterMVS-LS | | | 98.46 226 | 98.42 225 | 98.58 311 | 99.59 197 | 98.00 293 | 99.37 289 | 99.43 269 | 96.94 342 | 99.07 289 | 99.59 274 | 97.87 114 | 99.03 414 | 98.32 243 | 95.62 394 | 98.71 343 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| h-mvs33 | | | 97.70 334 | 97.28 357 | 98.97 247 | 99.70 122 | 97.27 330 | 99.36 295 | 99.45 249 | 98.94 78 | 99.66 130 | 99.64 254 | 94.93 256 | 99.99 4 | 99.48 64 | 84.36 471 | 99.65 175 |
|
| DPE-MVS |  | | 99.46 42 | 99.32 54 | 99.91 6 | 99.78 70 | 99.88 10 | 99.36 295 | 99.51 156 | 98.73 102 | 99.88 43 | 99.84 100 | 98.72 67 | 99.96 41 | 98.16 256 | 99.87 79 | 99.88 35 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| UnsupCasMVSNet_eth | | | 96.44 392 | 96.12 393 | 97.40 417 | 98.65 426 | 95.65 409 | 99.36 295 | 99.51 156 | 97.13 320 | 96.04 451 | 98.99 411 | 88.40 426 | 98.17 455 | 96.71 378 | 90.27 458 | 98.40 424 |
|
| sss | | | 99.17 109 | 99.05 112 | 99.53 133 | 99.62 178 | 98.97 183 | 99.36 295 | 99.62 51 | 97.83 241 | 99.67 125 | 99.65 248 | 97.37 128 | 99.95 76 | 99.19 108 | 99.19 203 | 99.68 160 |
|
| DeepC-MVS_fast | | 98.69 1 | 99.49 33 | 99.39 40 | 99.77 74 | 99.63 169 | 99.59 88 | 99.36 295 | 99.46 238 | 99.07 58 | 99.79 76 | 99.82 119 | 98.85 44 | 99.92 123 | 98.68 194 | 99.87 79 | 99.82 72 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| CANet | | | 99.25 96 | 99.14 94 | 99.59 113 | 99.41 268 | 99.16 155 | 99.35 300 | 99.57 85 | 98.82 89 | 99.51 180 | 99.61 269 | 96.46 181 | 99.95 76 | 99.59 45 | 99.98 4 | 99.65 175 |
|
| pmmvs-eth3d | | | 95.34 415 | 94.73 417 | 97.15 421 | 95.53 476 | 95.94 400 | 99.35 300 | 99.10 379 | 95.13 418 | 93.55 466 | 97.54 467 | 88.15 430 | 97.91 461 | 94.58 426 | 89.69 463 | 97.61 461 |
|
| MDTV_nov1_ep13_2view | | | | | | | 95.18 426 | 99.35 300 | | 96.84 347 | 99.58 163 | | 95.19 247 | | 97.82 289 | | 99.46 254 |
|
| VDD-MVS | | | 97.73 328 | 97.35 345 | 98.88 270 | 99.47 251 | 97.12 338 | 99.34 303 | 98.85 418 | 98.19 170 | 99.67 125 | 99.85 85 | 82.98 464 | 99.92 123 | 99.49 61 | 98.32 288 | 99.60 195 |
|
| COLMAP_ROB |  | 97.56 6 | 98.86 184 | 98.75 185 | 99.17 224 | 99.88 13 | 98.53 257 | 99.34 303 | 99.59 73 | 97.55 277 | 98.70 353 | 99.89 46 | 95.83 216 | 99.90 148 | 98.10 262 | 99.90 57 | 99.08 300 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| viewmambaseed2359dif | | | 99.01 166 | 98.90 160 | 99.32 197 | 99.58 199 | 98.51 263 | 99.33 305 | 99.54 109 | 97.85 237 | 99.44 194 | 99.85 85 | 96.01 205 | 99.79 245 | 99.41 70 | 99.13 211 | 99.67 164 |
|
| myMVS_eth3d28 | | | 97.69 335 | 97.34 348 | 98.73 294 | 99.27 309 | 97.52 321 | 99.33 305 | 98.78 428 | 98.03 218 | 98.82 335 | 98.49 439 | 86.64 441 | 99.46 329 | 98.44 229 | 98.24 294 | 99.23 288 |
|
| EGC-MVSNET | | | 82.80 449 | 77.86 455 | 97.62 407 | 97.91 447 | 96.12 396 | 99.33 305 | 99.28 347 | 8.40 493 | 25.05 494 | 99.27 378 | 84.11 459 | 99.33 359 | 89.20 465 | 98.22 295 | 97.42 467 |
|
| diffmvs_AUTHOR | | | 99.19 101 | 99.10 99 | 99.48 160 | 99.64 165 | 98.85 221 | 99.32 308 | 99.48 204 | 98.50 124 | 99.81 69 | 99.81 134 | 96.82 160 | 99.88 168 | 99.40 71 | 99.12 216 | 99.71 148 |
|
| ETVMVS | | | 97.50 355 | 96.90 375 | 99.29 207 | 99.23 320 | 98.78 235 | 99.32 308 | 98.90 411 | 97.52 283 | 98.56 373 | 98.09 457 | 84.72 457 | 99.69 291 | 97.86 284 | 97.88 313 | 99.39 267 |
|
| FMVSNet5 | | | 96.43 393 | 96.19 392 | 97.15 421 | 99.11 351 | 95.89 403 | 99.32 308 | 99.52 134 | 94.47 436 | 98.34 389 | 99.07 399 | 87.54 436 | 97.07 472 | 92.61 453 | 95.72 391 | 98.47 415 |
|
| dp | | | 97.75 324 | 97.80 282 | 97.59 411 | 99.10 354 | 93.71 452 | 99.32 308 | 98.88 414 | 96.48 376 | 99.08 288 | 99.55 289 | 92.67 351 | 99.82 227 | 96.52 386 | 98.58 269 | 99.24 287 |
|
| tpmvs | | | 97.98 283 | 98.02 260 | 97.84 391 | 99.04 368 | 94.73 434 | 99.31 312 | 99.20 367 | 96.10 407 | 98.76 343 | 99.42 332 | 94.94 255 | 99.81 232 | 96.97 365 | 98.45 278 | 98.97 315 |
|
| tpmrst | | | 98.33 239 | 98.48 222 | 97.90 384 | 99.16 343 | 94.78 433 | 99.31 312 | 99.11 378 | 97.27 308 | 99.45 189 | 99.59 274 | 95.33 239 | 99.84 196 | 98.48 223 | 98.61 266 | 99.09 299 |
|
| testing99 | | | 97.36 365 | 96.94 374 | 98.63 305 | 99.18 333 | 96.70 372 | 99.30 314 | 98.93 401 | 97.71 257 | 98.23 395 | 98.26 449 | 84.92 455 | 99.84 196 | 98.04 272 | 97.85 316 | 99.35 273 |
|
| MP-MVS-pluss | | | 99.37 68 | 99.20 86 | 99.88 15 | 99.90 4 | 99.87 17 | 99.30 314 | 99.52 134 | 97.18 316 | 99.60 159 | 99.79 169 | 98.79 52 | 99.95 76 | 98.83 172 | 99.91 46 | 99.83 63 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| NCCC | | | 99.34 75 | 99.19 88 | 99.79 68 | 99.61 189 | 99.65 75 | 99.30 314 | 99.48 204 | 98.86 84 | 99.21 261 | 99.63 260 | 98.72 67 | 99.90 148 | 98.25 248 | 99.63 164 | 99.80 88 |
|
| JIA-IIPM | | | 97.50 355 | 97.02 371 | 98.93 254 | 98.73 416 | 97.80 308 | 99.30 314 | 98.97 397 | 91.73 460 | 98.91 318 | 94.86 479 | 95.10 250 | 99.71 279 | 97.58 314 | 97.98 308 | 99.28 281 |
|
| BH-RMVSNet | | | 98.41 231 | 98.08 252 | 99.40 181 | 99.41 268 | 98.83 226 | 99.30 314 | 98.77 429 | 97.70 260 | 98.94 315 | 99.65 248 | 92.91 341 | 99.74 263 | 96.52 386 | 99.55 172 | 99.64 182 |
|
| usedtu_blend_shiyan5 | | | 95.04 419 | 94.10 426 | 97.86 388 | 96.45 468 | 95.92 401 | 99.29 319 | 99.22 362 | 86.17 476 | 98.36 386 | 97.68 463 | 91.20 390 | 99.07 407 | 97.53 322 | 80.97 478 | 98.60 399 |
|
| testing11 | | | 97.50 355 | 97.10 368 | 98.71 299 | 99.20 327 | 96.91 364 | 99.29 319 | 98.82 421 | 97.89 231 | 98.21 398 | 98.40 443 | 85.63 450 | 99.83 218 | 98.45 228 | 98.04 307 | 99.37 271 |
|
| Syy-MVS | | | 97.09 379 | 97.14 365 | 96.95 430 | 99.00 373 | 92.73 462 | 99.29 319 | 99.39 284 | 97.06 330 | 97.41 425 | 98.15 452 | 93.92 317 | 98.68 446 | 91.71 456 | 98.34 282 | 99.45 257 |
|
| myMVS_eth3d | | | 96.89 382 | 96.37 387 | 98.43 338 | 99.00 373 | 97.16 336 | 99.29 319 | 99.39 284 | 97.06 330 | 97.41 425 | 98.15 452 | 83.46 463 | 98.68 446 | 95.27 417 | 98.34 282 | 99.45 257 |
|
| MCST-MVS | | | 99.43 53 | 99.30 62 | 99.82 57 | 99.79 68 | 99.74 54 | 99.29 319 | 99.40 281 | 98.79 95 | 99.52 178 | 99.62 265 | 98.91 39 | 99.90 148 | 98.64 198 | 99.75 142 | 99.82 72 |
|
| LF4IMVS | | | 97.52 352 | 97.46 327 | 97.70 404 | 98.98 379 | 95.55 412 | 99.29 319 | 98.82 421 | 98.07 202 | 98.66 356 | 99.64 254 | 89.97 405 | 99.61 314 | 97.01 361 | 96.68 363 | 97.94 454 |
|
| hse-mvs2 | | | 97.50 355 | 97.14 365 | 98.59 308 | 99.49 243 | 97.05 345 | 99.28 325 | 99.22 362 | 98.94 78 | 99.66 130 | 99.42 332 | 94.93 256 | 99.65 302 | 99.48 64 | 83.80 473 | 99.08 300 |
|
| OPM-MVS | | | 98.19 250 | 98.10 248 | 98.45 333 | 98.88 391 | 97.07 343 | 99.28 325 | 99.38 292 | 98.57 117 | 99.22 258 | 99.81 134 | 92.12 365 | 99.66 297 | 98.08 267 | 97.54 332 | 98.61 396 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| diffmvs |  | | 99.14 123 | 99.02 127 | 99.51 144 | 99.61 189 | 98.96 187 | 99.28 325 | 99.49 192 | 98.46 128 | 99.72 102 | 99.71 212 | 96.50 179 | 99.88 168 | 99.31 86 | 99.11 218 | 99.67 164 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| PVSNet_BlendedMVS | | | 98.86 184 | 98.80 179 | 99.03 239 | 99.76 82 | 98.79 232 | 99.28 325 | 99.91 3 | 97.42 296 | 99.67 125 | 99.37 350 | 97.53 122 | 99.88 168 | 98.98 139 | 97.29 352 | 98.42 421 |
|
| OMC-MVS | | | 99.08 149 | 99.04 114 | 99.20 221 | 99.67 137 | 98.22 281 | 99.28 325 | 99.52 134 | 98.07 202 | 99.66 130 | 99.81 134 | 97.79 117 | 99.78 251 | 97.79 293 | 99.81 120 | 99.60 195 |
|
| testing222 | | | 97.16 375 | 96.50 384 | 99.16 225 | 99.16 343 | 98.47 270 | 99.27 330 | 98.66 444 | 97.71 257 | 98.23 395 | 98.15 452 | 82.28 469 | 99.84 196 | 97.36 339 | 97.66 322 | 99.18 291 |
|
| AUN-MVS | | | 96.88 383 | 96.31 389 | 98.59 308 | 99.48 250 | 97.04 348 | 99.27 330 | 99.22 362 | 97.44 293 | 98.51 376 | 99.41 336 | 91.97 368 | 99.66 297 | 97.71 305 | 83.83 472 | 99.07 305 |
|
| pmmvs5 | | | 97.52 352 | 97.30 354 | 98.16 362 | 98.57 435 | 96.73 371 | 99.27 330 | 98.90 411 | 96.14 401 | 98.37 385 | 99.53 298 | 91.54 382 | 99.14 394 | 97.51 325 | 95.87 386 | 98.63 385 |
|
| 1314 | | | 98.68 213 | 98.54 218 | 99.11 231 | 98.89 390 | 98.65 244 | 99.27 330 | 99.49 192 | 96.89 344 | 97.99 409 | 99.56 286 | 97.72 120 | 99.83 218 | 97.74 301 | 99.27 194 | 98.84 323 |
|
| MVS | | | 97.28 370 | 96.55 383 | 99.48 160 | 98.78 407 | 98.95 193 | 99.27 330 | 99.39 284 | 83.53 479 | 98.08 404 | 99.54 294 | 96.97 151 | 99.87 175 | 94.23 432 | 99.16 204 | 99.63 187 |
|
| BH-untuned | | | 98.42 229 | 98.36 228 | 98.59 308 | 99.49 243 | 96.70 372 | 99.27 330 | 99.13 376 | 97.24 312 | 98.80 338 | 99.38 347 | 95.75 222 | 99.74 263 | 97.07 360 | 99.16 204 | 99.33 277 |
|
| MDTV_nov1_ep13 | | | | 98.32 232 | | 99.11 351 | 94.44 442 | 99.27 330 | 98.74 433 | 97.51 284 | 99.40 210 | 99.62 265 | 94.78 267 | 99.76 257 | 97.59 313 | 98.81 258 | |
|
| DP-MVS Recon | | | 99.12 135 | 98.95 150 | 99.65 95 | 99.74 100 | 99.70 60 | 99.27 330 | 99.57 85 | 96.40 383 | 99.42 200 | 99.68 235 | 98.75 60 | 99.80 239 | 97.98 275 | 99.72 148 | 99.44 259 |
|
| PatchmatchNet |  | | 98.31 240 | 98.36 228 | 98.19 360 | 99.16 343 | 95.32 422 | 99.27 330 | 98.92 404 | 97.37 300 | 99.37 216 | 99.58 278 | 94.90 260 | 99.70 286 | 97.43 335 | 99.21 201 | 99.54 219 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| thres200 | | | 97.61 346 | 97.28 357 | 98.62 306 | 99.64 165 | 98.03 291 | 99.26 339 | 98.74 433 | 97.68 262 | 99.09 286 | 98.32 447 | 91.66 379 | 99.81 232 | 92.88 449 | 98.22 295 | 98.03 446 |
|
| CNVR-MVS | | | 99.42 55 | 99.30 62 | 99.78 71 | 99.62 178 | 99.71 58 | 99.26 339 | 99.52 134 | 98.82 89 | 99.39 212 | 99.71 212 | 98.96 27 | 99.85 187 | 98.59 209 | 99.80 125 | 99.77 100 |
|
| mamba_0408 | | | 99.08 149 | 98.96 146 | 99.44 174 | 99.62 178 | 98.88 213 | 99.25 341 | 99.47 226 | 98.05 209 | 99.37 216 | 99.81 134 | 96.85 155 | 99.85 187 | 98.98 139 | 99.25 197 | 99.60 195 |
|
| SSM_04072 | | | 99.06 154 | 98.96 146 | 99.35 190 | 99.62 178 | 98.88 213 | 99.25 341 | 99.47 226 | 98.05 209 | 99.37 216 | 99.81 134 | 96.85 155 | 99.58 317 | 98.98 139 | 99.25 197 | 99.60 195 |
|
| tt0320 | | | 95.71 408 | 95.07 412 | 97.62 407 | 99.05 366 | 95.02 428 | 99.25 341 | 99.52 134 | 86.81 473 | 97.97 411 | 99.72 209 | 83.58 462 | 99.15 392 | 96.38 392 | 93.35 434 | 98.68 357 |
|
| 1112_ss | | | 98.98 170 | 98.77 183 | 99.59 113 | 99.68 134 | 99.02 175 | 99.25 341 | 99.48 204 | 97.23 313 | 99.13 276 | 99.58 278 | 96.93 153 | 99.90 148 | 98.87 159 | 98.78 259 | 99.84 53 |
|
| TAPA-MVS | | 97.07 15 | 97.74 326 | 97.34 348 | 98.94 252 | 99.70 122 | 97.53 320 | 99.25 341 | 99.51 156 | 91.90 459 | 99.30 236 | 99.63 260 | 98.78 53 | 99.64 306 | 88.09 470 | 99.87 79 | 99.65 175 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| UWE-MVS-28 | | | 97.36 365 | 97.24 361 | 97.75 400 | 98.84 400 | 94.44 442 | 99.24 346 | 97.58 469 | 97.98 223 | 99.00 304 | 99.00 409 | 91.35 386 | 99.53 324 | 93.75 437 | 98.39 280 | 99.27 285 |
|
| UBG | | | 97.85 302 | 97.48 322 | 98.95 250 | 99.25 316 | 97.64 317 | 99.24 346 | 98.74 433 | 97.90 230 | 98.64 363 | 98.20 451 | 88.65 422 | 99.81 232 | 98.27 246 | 98.40 279 | 99.42 261 |
|
| PLC |  | 97.94 4 | 99.02 162 | 98.85 174 | 99.53 133 | 99.66 150 | 99.01 177 | 99.24 346 | 99.52 134 | 96.85 346 | 99.27 246 | 99.48 318 | 98.25 101 | 99.91 135 | 97.76 298 | 99.62 165 | 99.65 175 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| test_post1 | | | | | | | | 99.23 349 | | | | 65.14 491 | 94.18 306 | 99.71 279 | 97.58 314 | | |
|
| ADS-MVSNet2 | | | 98.02 276 | 98.07 255 | 97.87 386 | 99.33 291 | 95.19 425 | 99.23 349 | 99.08 382 | 96.24 391 | 99.10 283 | 99.67 241 | 94.11 308 | 98.93 435 | 96.81 374 | 99.05 233 | 99.48 243 |
|
| ADS-MVSNet | | | 98.20 249 | 98.08 252 | 98.56 316 | 99.33 291 | 96.48 383 | 99.23 349 | 99.15 373 | 96.24 391 | 99.10 283 | 99.67 241 | 94.11 308 | 99.71 279 | 96.81 374 | 99.05 233 | 99.48 243 |
|
| EPNet_dtu | | | 98.03 274 | 97.96 265 | 98.23 358 | 98.27 443 | 95.54 414 | 99.23 349 | 98.75 430 | 99.02 62 | 97.82 418 | 99.71 212 | 96.11 200 | 99.48 326 | 93.04 447 | 99.65 161 | 99.69 154 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| CR-MVSNet | | | 98.17 253 | 97.93 270 | 98.87 274 | 99.18 333 | 98.49 266 | 99.22 353 | 99.33 322 | 96.96 338 | 99.56 167 | 99.38 347 | 94.33 299 | 99.00 421 | 94.83 425 | 98.58 269 | 99.14 292 |
|
| RPMNet | | | 96.72 386 | 95.90 399 | 99.19 222 | 99.18 333 | 98.49 266 | 99.22 353 | 99.52 134 | 88.72 471 | 99.56 167 | 97.38 469 | 94.08 310 | 99.95 76 | 86.87 477 | 98.58 269 | 99.14 292 |
|
| sc_t1 | | | 95.75 406 | 95.05 413 | 97.87 386 | 98.83 401 | 94.61 439 | 99.21 355 | 99.45 249 | 87.45 472 | 97.97 411 | 99.85 85 | 81.19 472 | 99.43 340 | 98.27 246 | 93.20 438 | 99.57 213 |
|
| WBMVS | | | 97.74 326 | 97.50 320 | 98.46 331 | 99.24 318 | 97.43 324 | 99.21 355 | 99.42 271 | 97.45 290 | 98.96 311 | 99.41 336 | 88.83 417 | 99.23 376 | 98.94 147 | 96.02 379 | 98.71 343 |
|
| plane_prior | | | | | | | 96.97 356 | 99.21 355 | | 98.45 130 | | | | | | 97.60 326 | |
|
| IMVS_0404 | | | 98.53 222 | 98.52 220 | 98.55 318 | 99.55 212 | 96.93 359 | 99.20 358 | 99.44 258 | 98.05 209 | 98.96 311 | 99.80 152 | 94.66 281 | 99.13 397 | 98.15 258 | 98.92 244 | 99.60 195 |
|
| tt0320-xc | | | 95.31 416 | 94.59 420 | 97.45 415 | 98.92 386 | 94.73 434 | 99.20 358 | 99.31 336 | 86.74 474 | 97.23 431 | 99.72 209 | 81.14 473 | 98.95 433 | 97.08 359 | 91.98 449 | 98.67 365 |
|
| testing91 | | | 97.44 362 | 97.02 371 | 98.71 299 | 99.18 333 | 96.89 366 | 99.19 360 | 99.04 389 | 97.78 249 | 98.31 390 | 98.29 448 | 85.41 452 | 99.85 187 | 98.01 273 | 97.95 309 | 99.39 267 |
|
| WR-MVS | | | 98.06 266 | 97.73 295 | 99.06 235 | 98.86 397 | 99.25 146 | 99.19 360 | 99.35 309 | 97.30 306 | 98.66 356 | 99.43 330 | 93.94 315 | 99.21 386 | 98.58 210 | 94.28 421 | 98.71 343 |
|
| new-patchmatchnet | | | 94.48 427 | 94.08 428 | 95.67 444 | 95.08 479 | 92.41 463 | 99.18 362 | 99.28 347 | 94.55 435 | 93.49 467 | 97.37 470 | 87.86 434 | 97.01 473 | 91.57 457 | 88.36 465 | 97.61 461 |
|
| AdaColmap |  | | 99.01 166 | 98.80 179 | 99.66 91 | 99.56 208 | 99.54 98 | 99.18 362 | 99.70 18 | 98.18 173 | 99.35 225 | 99.63 260 | 96.32 188 | 99.90 148 | 97.48 328 | 99.77 137 | 99.55 217 |
|
| EG-PatchMatch MVS | | | 95.97 402 | 95.69 403 | 96.81 434 | 97.78 450 | 92.79 461 | 99.16 364 | 98.93 401 | 96.16 398 | 94.08 463 | 99.22 384 | 82.72 465 | 99.47 327 | 95.67 408 | 97.50 337 | 98.17 437 |
|
| PatchT | | | 97.03 380 | 96.44 386 | 98.79 289 | 98.99 376 | 98.34 276 | 99.16 364 | 99.07 385 | 92.13 458 | 99.52 178 | 97.31 472 | 94.54 289 | 98.98 423 | 88.54 468 | 98.73 261 | 99.03 308 |
|
| CNLPA | | | 99.14 123 | 98.99 138 | 99.59 113 | 99.58 199 | 99.41 120 | 99.16 364 | 99.44 258 | 98.45 130 | 99.19 267 | 99.49 312 | 98.08 109 | 99.89 163 | 97.73 302 | 99.75 142 | 99.48 243 |
|
| MDA-MVSNet-bldmvs | | | 94.96 422 | 93.98 429 | 97.92 382 | 98.24 444 | 97.27 330 | 99.15 367 | 99.33 322 | 93.80 440 | 80.09 486 | 99.03 405 | 88.31 427 | 97.86 463 | 93.49 441 | 94.36 420 | 98.62 387 |
|
| CDPH-MVS | | | 99.13 127 | 98.91 158 | 99.80 64 | 99.75 92 | 99.71 58 | 99.15 367 | 99.41 274 | 96.60 367 | 99.60 159 | 99.55 289 | 98.83 47 | 99.90 148 | 97.48 328 | 99.83 113 | 99.78 98 |
|
| save fliter | | | | | | 99.76 82 | 99.59 88 | 99.14 369 | 99.40 281 | 99.00 67 | | | | | | | |
|
| WB-MVSnew | | | 97.65 343 | 97.65 303 | 97.63 406 | 98.78 407 | 97.62 318 | 99.13 370 | 98.33 453 | 97.36 301 | 99.07 289 | 98.94 417 | 95.64 227 | 99.15 392 | 92.95 448 | 98.68 264 | 96.12 477 |
|
| testf1 | | | 90.42 443 | 90.68 444 | 89.65 464 | 97.78 450 | 73.97 492 | 99.13 370 | 98.81 423 | 89.62 466 | 91.80 475 | 98.93 418 | 62.23 483 | 98.80 442 | 86.61 478 | 91.17 452 | 96.19 475 |
|
| APD_test2 | | | 90.42 443 | 90.68 444 | 89.65 464 | 97.78 450 | 73.97 492 | 99.13 370 | 98.81 423 | 89.62 466 | 91.80 475 | 98.93 418 | 62.23 483 | 98.80 442 | 86.61 478 | 91.17 452 | 96.19 475 |
|
| xiu_mvs_v1_base_debu | | | 99.29 85 | 99.27 73 | 99.34 191 | 99.63 169 | 98.97 183 | 99.12 373 | 99.51 156 | 98.86 84 | 99.84 56 | 99.47 321 | 98.18 104 | 99.99 4 | 99.50 57 | 99.31 191 | 99.08 300 |
|
| xiu_mvs_v1_base | | | 99.29 85 | 99.27 73 | 99.34 191 | 99.63 169 | 98.97 183 | 99.12 373 | 99.51 156 | 98.86 84 | 99.84 56 | 99.47 321 | 98.18 104 | 99.99 4 | 99.50 57 | 99.31 191 | 99.08 300 |
|
| xiu_mvs_v1_base_debi | | | 99.29 85 | 99.27 73 | 99.34 191 | 99.63 169 | 98.97 183 | 99.12 373 | 99.51 156 | 98.86 84 | 99.84 56 | 99.47 321 | 98.18 104 | 99.99 4 | 99.50 57 | 99.31 191 | 99.08 300 |
|
| XVG-OURS-SEG-HR | | | 98.69 212 | 98.62 208 | 98.89 266 | 99.71 117 | 97.74 309 | 99.12 373 | 99.54 109 | 98.44 133 | 99.42 200 | 99.71 212 | 94.20 303 | 99.92 123 | 98.54 220 | 98.90 250 | 99.00 311 |
|
| jason | | | 99.13 127 | 99.03 117 | 99.45 169 | 99.46 253 | 98.87 217 | 99.12 373 | 99.26 354 | 98.03 218 | 99.79 76 | 99.65 248 | 97.02 148 | 99.85 187 | 99.02 136 | 99.90 57 | 99.65 175 |
| jason: jason. |
| N_pmnet | | | 94.95 423 | 95.83 401 | 92.31 455 | 98.47 439 | 79.33 487 | 99.12 373 | 92.81 493 | 93.87 439 | 97.68 421 | 99.13 394 | 93.87 319 | 99.01 420 | 91.38 458 | 96.19 376 | 98.59 403 |
|
| MDA-MVSNet_test_wron | | | 95.45 411 | 94.60 419 | 98.01 373 | 98.16 445 | 97.21 335 | 99.11 379 | 99.24 359 | 93.49 444 | 80.73 485 | 98.98 413 | 93.02 336 | 98.18 454 | 94.22 433 | 94.45 418 | 98.64 378 |
|
| Patchmtry | | | 97.75 324 | 97.40 340 | 98.81 286 | 99.10 354 | 98.87 217 | 99.11 379 | 99.33 322 | 94.83 429 | 98.81 336 | 99.38 347 | 94.33 299 | 99.02 417 | 96.10 395 | 95.57 396 | 98.53 408 |
|
| YYNet1 | | | 95.36 414 | 94.51 422 | 97.92 382 | 97.89 448 | 97.10 339 | 99.10 381 | 99.23 360 | 93.26 447 | 80.77 484 | 99.04 404 | 92.81 342 | 98.02 458 | 94.30 429 | 94.18 423 | 98.64 378 |
|
| CANet_DTU | | | 98.97 172 | 98.87 168 | 99.25 214 | 99.33 291 | 98.42 274 | 99.08 382 | 99.30 341 | 99.16 37 | 99.43 197 | 99.75 194 | 95.27 241 | 99.97 29 | 98.56 216 | 99.95 23 | 99.36 272 |
|
| icg_test_0407_2 | | | 98.79 201 | 98.86 171 | 98.57 312 | 99.55 212 | 96.93 359 | 99.07 383 | 99.44 258 | 98.05 209 | 99.66 130 | 99.80 152 | 97.13 139 | 99.18 389 | 98.15 258 | 98.92 244 | 99.60 195 |
|
| SCA | | | 98.19 250 | 98.16 240 | 98.27 356 | 99.30 300 | 95.55 412 | 99.07 383 | 98.97 397 | 97.57 274 | 99.43 197 | 99.57 283 | 92.72 346 | 99.74 263 | 97.58 314 | 99.20 202 | 99.52 226 |
|
| TSAR-MVS + GP. | | | 99.36 72 | 99.36 46 | 99.36 188 | 99.67 137 | 98.61 251 | 99.07 383 | 99.33 322 | 99.00 67 | 99.82 68 | 99.81 134 | 99.06 18 | 99.84 196 | 99.09 127 | 99.42 181 | 99.65 175 |
|
| MG-MVS | | | 99.13 127 | 99.02 127 | 99.45 169 | 99.57 204 | 98.63 247 | 99.07 383 | 99.34 314 | 98.99 69 | 99.61 156 | 99.82 119 | 97.98 113 | 99.87 175 | 97.00 362 | 99.80 125 | 99.85 46 |
|
| PatchMatch-RL | | | 98.84 196 | 98.62 208 | 99.52 139 | 99.71 117 | 99.28 141 | 99.06 387 | 99.77 12 | 97.74 255 | 99.50 181 | 99.53 298 | 95.41 234 | 99.84 196 | 97.17 355 | 99.64 162 | 99.44 259 |
|
| OpenMVS_ROB |  | 92.34 20 | 94.38 428 | 93.70 434 | 96.41 439 | 97.38 456 | 93.17 459 | 99.06 387 | 98.75 430 | 86.58 475 | 94.84 460 | 98.26 449 | 81.53 470 | 99.32 361 | 89.01 466 | 97.87 314 | 96.76 470 |
|
| TEST9 | | | | | | 99.67 137 | 99.65 75 | 99.05 389 | 99.41 274 | 96.22 393 | 98.95 313 | 99.49 312 | 98.77 56 | 99.91 135 | | | |
|
| train_agg | | | 99.02 162 | 98.77 183 | 99.77 74 | 99.67 137 | 99.65 75 | 99.05 389 | 99.41 274 | 96.28 387 | 98.95 313 | 99.49 312 | 98.76 57 | 99.91 135 | 97.63 310 | 99.72 148 | 99.75 113 |
|
| lupinMVS | | | 99.13 127 | 99.01 134 | 99.46 168 | 99.51 229 | 98.94 197 | 99.05 389 | 99.16 372 | 97.86 234 | 99.80 74 | 99.56 286 | 97.39 125 | 99.86 181 | 98.94 147 | 99.85 94 | 99.58 210 |
|
| DELS-MVS | | | 99.48 37 | 99.42 32 | 99.65 95 | 99.72 111 | 99.40 121 | 99.05 389 | 99.66 32 | 99.14 40 | 99.57 166 | 99.80 152 | 98.46 87 | 99.94 92 | 99.57 48 | 99.84 102 | 99.60 195 |
| 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 |
| new_pmnet | | | 96.38 394 | 96.03 396 | 97.41 416 | 98.13 446 | 95.16 427 | 99.05 389 | 99.20 367 | 93.94 438 | 97.39 428 | 98.79 429 | 91.61 381 | 99.04 412 | 90.43 461 | 95.77 388 | 98.05 445 |
|
| Patchmatch-test | | | 97.93 289 | 97.65 303 | 98.77 292 | 99.18 333 | 97.07 343 | 99.03 394 | 99.14 375 | 96.16 398 | 98.74 344 | 99.57 283 | 94.56 286 | 99.72 273 | 93.36 442 | 99.11 218 | 99.52 226 |
|
| test_8 | | | | | | 99.67 137 | 99.61 85 | 99.03 394 | 99.41 274 | 96.28 387 | 98.93 316 | 99.48 318 | 98.76 57 | 99.91 135 | | | |
|
| Test_1112_low_res | | | 98.89 177 | 98.66 198 | 99.57 120 | 99.69 127 | 98.95 193 | 99.03 394 | 99.47 226 | 96.98 336 | 99.15 274 | 99.23 383 | 96.77 164 | 99.89 163 | 98.83 172 | 98.78 259 | 99.86 42 |
|
| IterMVS-SCA-FT | | | 97.82 312 | 97.75 293 | 98.06 369 | 99.57 204 | 96.36 387 | 99.02 397 | 99.49 192 | 97.18 316 | 98.71 347 | 99.72 209 | 92.72 346 | 99.14 394 | 97.44 334 | 95.86 387 | 98.67 365 |
|
| xiu_mvs_v2_base | | | 99.26 92 | 99.25 77 | 99.29 207 | 99.53 220 | 98.91 204 | 99.02 397 | 99.45 249 | 98.80 94 | 99.71 112 | 99.26 380 | 98.94 34 | 99.98 20 | 99.34 81 | 99.23 200 | 98.98 314 |
|
| MIMVSNet | | | 97.73 328 | 97.45 328 | 98.57 312 | 99.45 259 | 97.50 322 | 99.02 397 | 98.98 396 | 96.11 403 | 99.41 205 | 99.14 393 | 90.28 399 | 98.74 444 | 95.74 404 | 98.93 242 | 99.47 249 |
|
| IterMVS | | | 97.83 309 | 97.77 288 | 98.02 372 | 99.58 199 | 96.27 391 | 99.02 397 | 99.48 204 | 97.22 314 | 98.71 347 | 99.70 216 | 92.75 343 | 99.13 397 | 97.46 331 | 96.00 381 | 98.67 365 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| HyFIR lowres test | | | 99.11 141 | 98.92 155 | 99.65 95 | 99.90 4 | 99.37 123 | 99.02 397 | 99.91 3 | 97.67 264 | 99.59 162 | 99.75 194 | 95.90 213 | 99.73 269 | 99.53 53 | 99.02 237 | 99.86 42 |
|
| UWE-MVS | | | 97.58 348 | 97.29 356 | 98.48 325 | 99.09 357 | 96.25 392 | 99.01 402 | 96.61 479 | 97.86 234 | 99.19 267 | 99.01 408 | 88.72 418 | 99.90 148 | 97.38 338 | 98.69 263 | 99.28 281 |
|
| æ–°å‡ ä½•2 | | | | | | | | 99.01 402 | | | | | | | | | |
|
| BH-w/o | | | 98.00 281 | 97.89 276 | 98.32 348 | 99.35 285 | 96.20 394 | 99.01 402 | 98.90 411 | 96.42 381 | 98.38 384 | 99.00 409 | 95.26 243 | 99.72 273 | 96.06 396 | 98.61 266 | 99.03 308 |
|
| test_prior4 | | | | | | | 99.56 94 | 98.99 405 | | | | | | | | | |
|
| æ— å…ˆéªŒ | | | | | | | | 98.99 405 | 99.51 156 | 96.89 344 | | | | 99.93 110 | 97.53 322 | | 99.72 137 |
|
| pmmvs4 | | | 98.13 257 | 97.90 272 | 98.81 286 | 98.61 431 | 98.87 217 | 98.99 405 | 99.21 366 | 96.44 379 | 99.06 294 | 99.58 278 | 95.90 213 | 99.11 403 | 97.18 354 | 96.11 378 | 98.46 418 |
|
| HQP-NCC | | | | | | 99.19 330 | | 98.98 408 | | 98.24 162 | 98.66 356 | | | | | | |
|
| ACMP_Plane | | | | | | 99.19 330 | | 98.98 408 | | 98.24 162 | 98.66 356 | | | | | | |
|
| HQP-MVS | | | 98.02 276 | 97.90 272 | 98.37 344 | 99.19 330 | 96.83 367 | 98.98 408 | 99.39 284 | 98.24 162 | 98.66 356 | 99.40 340 | 92.47 357 | 99.64 306 | 97.19 352 | 97.58 328 | 98.64 378 |
|
| PS-MVSNAJ | | | 99.32 79 | 99.32 54 | 99.30 204 | 99.57 204 | 98.94 197 | 98.97 411 | 99.46 238 | 98.92 81 | 99.71 112 | 99.24 382 | 99.01 20 | 99.98 20 | 99.35 76 | 99.66 159 | 98.97 315 |
|
| MVP-Stereo | | | 97.81 314 | 97.75 293 | 97.99 376 | 97.53 454 | 96.60 380 | 98.96 412 | 98.85 418 | 97.22 314 | 97.23 431 | 99.36 353 | 95.28 240 | 99.46 329 | 95.51 410 | 99.78 134 | 97.92 456 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| test_prior2 | | | | | | | | 98.96 412 | | 98.34 143 | 99.01 300 | 99.52 302 | 98.68 70 | | 97.96 276 | 99.74 145 | |
|
| 旧先验2 | | | | | | | | 98.96 412 | | 96.70 355 | 99.47 186 | | | 99.94 92 | 98.19 252 | | |
|
| 原ACMM2 | | | | | | | | 98.95 415 | | | | | | | | | |
|
| MVS_111021_HR | | | 99.41 59 | 99.32 54 | 99.66 91 | 99.72 111 | 99.47 113 | 98.95 415 | 99.85 9 | 98.82 89 | 99.54 174 | 99.73 205 | 98.51 84 | 99.74 263 | 98.91 153 | 99.88 76 | 99.77 100 |
|
| mvsany_test1 | | | 99.50 31 | 99.46 28 | 99.62 108 | 99.61 189 | 99.09 165 | 98.94 417 | 99.48 204 | 99.10 48 | 99.96 27 | 99.91 26 | 98.85 44 | 99.96 41 | 99.72 32 | 99.58 169 | 99.82 72 |
|
| MVS_111021_LR | | | 99.41 59 | 99.33 52 | 99.65 95 | 99.77 78 | 99.51 107 | 98.94 417 | 99.85 9 | 98.82 89 | 99.65 139 | 99.74 199 | 98.51 84 | 99.80 239 | 98.83 172 | 99.89 68 | 99.64 182 |
|
| pmmvs3 | | | 94.09 430 | 93.25 437 | 96.60 437 | 94.76 482 | 94.49 441 | 98.92 419 | 98.18 460 | 89.66 465 | 96.48 445 | 98.06 458 | 86.28 445 | 97.33 470 | 89.68 464 | 87.20 468 | 97.97 453 |
|
| XVG-OURS | | | 98.73 210 | 98.68 194 | 98.88 270 | 99.70 122 | 97.73 310 | 98.92 419 | 99.55 100 | 98.52 122 | 99.45 189 | 99.84 100 | 95.27 241 | 99.91 135 | 98.08 267 | 98.84 254 | 99.00 311 |
|
| test222 | | | | | | 99.75 92 | 99.49 109 | 98.91 421 | 99.49 192 | 96.42 381 | 99.34 229 | 99.65 248 | 98.28 100 | | | 99.69 153 | 99.72 137 |
|
| PMMVS2 | | | 86.87 446 | 85.37 450 | 91.35 459 | 90.21 488 | 83.80 478 | 98.89 422 | 97.45 471 | 83.13 480 | 91.67 477 | 95.03 477 | 48.49 489 | 94.70 483 | 85.86 480 | 77.62 482 | 95.54 478 |
|
| miper_lstm_enhance | | | 98.00 281 | 97.91 271 | 98.28 355 | 99.34 290 | 97.43 324 | 98.88 423 | 99.36 302 | 96.48 376 | 98.80 338 | 99.55 289 | 95.98 206 | 98.91 436 | 97.27 345 | 95.50 399 | 98.51 411 |
|
| MVS-HIRNet | | | 95.75 406 | 95.16 411 | 97.51 413 | 99.30 300 | 93.69 453 | 98.88 423 | 95.78 481 | 85.09 478 | 98.78 341 | 92.65 481 | 91.29 388 | 99.37 349 | 94.85 424 | 99.85 94 | 99.46 254 |
|
| TR-MVS | | | 97.76 320 | 97.41 339 | 98.82 283 | 99.06 363 | 97.87 304 | 98.87 425 | 98.56 447 | 96.63 363 | 98.68 355 | 99.22 384 | 92.49 356 | 99.65 302 | 95.40 414 | 97.79 318 | 98.95 319 |
|
| blended_shiyan6 | | | 95.54 409 | 94.78 416 | 97.84 391 | 96.60 467 | 95.89 403 | 98.85 426 | 99.28 347 | 92.17 457 | 98.43 381 | 97.95 460 | 91.44 383 | 99.02 417 | 97.30 343 | 80.97 478 | 98.60 399 |
|
| testdata1 | | | | | | | | 98.85 426 | | 98.32 147 | | | | | | | |
|
| blend_shiyan4 | | | 95.25 417 | 94.39 424 | 97.84 391 | 96.70 466 | 95.92 401 | 98.84 428 | 99.28 347 | 92.21 455 | 98.16 401 | 97.84 461 | 87.10 439 | 99.07 407 | 97.53 322 | 81.87 475 | 98.54 407 |
|
| ET-MVSNet_ETH3D | | | 96.49 391 | 95.64 405 | 99.05 237 | 99.53 220 | 98.82 229 | 98.84 428 | 97.51 470 | 97.63 267 | 84.77 479 | 99.21 387 | 92.09 366 | 98.91 436 | 98.98 139 | 92.21 448 | 99.41 264 |
|
| our_test_3 | | | 97.65 343 | 97.68 300 | 97.55 412 | 98.62 429 | 94.97 430 | 98.84 428 | 99.30 341 | 96.83 349 | 98.19 399 | 99.34 360 | 97.01 150 | 99.02 417 | 95.00 422 | 96.01 380 | 98.64 378 |
|
| MS-PatchMatch | | | 97.24 374 | 97.32 352 | 96.99 427 | 98.45 440 | 93.51 457 | 98.82 431 | 99.32 332 | 97.41 297 | 98.13 403 | 99.30 371 | 88.99 415 | 99.56 320 | 95.68 407 | 99.80 125 | 97.90 457 |
|
| c3_l | | | 98.12 259 | 98.04 257 | 98.38 343 | 99.30 300 | 97.69 316 | 98.81 432 | 99.33 322 | 96.67 357 | 98.83 333 | 99.34 360 | 97.11 142 | 98.99 422 | 97.58 314 | 95.34 401 | 98.48 413 |
|
| ppachtmachnet_test | | | 97.49 360 | 97.45 328 | 97.61 410 | 98.62 429 | 95.24 423 | 98.80 433 | 99.46 238 | 96.11 403 | 98.22 397 | 99.62 265 | 96.45 182 | 98.97 430 | 93.77 436 | 95.97 385 | 98.61 396 |
|
| PAPR | | | 98.63 219 | 98.34 230 | 99.51 144 | 99.40 273 | 99.03 174 | 98.80 433 | 99.36 302 | 96.33 384 | 99.00 304 | 99.12 397 | 98.46 87 | 99.84 196 | 95.23 418 | 99.37 190 | 99.66 169 |
|
| test0.0.03 1 | | | 97.71 333 | 97.42 338 | 98.56 316 | 98.41 442 | 97.82 307 | 98.78 435 | 98.63 445 | 97.34 302 | 98.05 408 | 98.98 413 | 94.45 294 | 98.98 423 | 95.04 421 | 97.15 358 | 98.89 320 |
|
| PVSNet_Blended | | | 99.08 149 | 98.97 142 | 99.42 179 | 99.76 82 | 98.79 232 | 98.78 435 | 99.91 3 | 96.74 352 | 99.67 125 | 99.49 312 | 97.53 122 | 99.88 168 | 98.98 139 | 99.85 94 | 99.60 195 |
|
| PMMVS | | | 98.80 200 | 98.62 208 | 99.34 191 | 99.27 309 | 98.70 240 | 98.76 437 | 99.31 336 | 97.34 302 | 99.21 261 | 99.07 399 | 97.20 137 | 99.82 227 | 98.56 216 | 98.87 251 | 99.52 226 |
|
| test123 | | | 39.01 458 | 42.50 460 | 28.53 474 | 39.17 497 | 20.91 499 | 98.75 438 | 19.17 499 | 19.83 492 | 38.57 491 | 66.67 489 | 33.16 493 | 15.42 493 | 37.50 493 | 29.66 491 | 49.26 488 |
|
| MSDG | | | 98.98 170 | 98.80 179 | 99.53 133 | 99.76 82 | 99.19 150 | 98.75 438 | 99.55 100 | 97.25 310 | 99.47 186 | 99.77 185 | 97.82 116 | 99.87 175 | 96.93 369 | 99.90 57 | 99.54 219 |
|
| CLD-MVS | | | 98.16 254 | 98.10 248 | 98.33 346 | 99.29 304 | 96.82 369 | 98.75 438 | 99.44 258 | 97.83 241 | 99.13 276 | 99.55 289 | 92.92 339 | 99.67 294 | 98.32 243 | 97.69 321 | 98.48 413 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| miper_ehance_all_eth | | | 98.18 252 | 98.10 248 | 98.41 339 | 99.23 320 | 97.72 312 | 98.72 441 | 99.31 336 | 96.60 367 | 98.88 323 | 99.29 373 | 97.29 132 | 99.13 397 | 97.60 312 | 95.99 382 | 98.38 426 |
|
| cl____ | | | 98.01 279 | 97.84 280 | 98.55 318 | 99.25 316 | 97.97 295 | 98.71 442 | 99.34 314 | 96.47 378 | 98.59 372 | 99.54 294 | 95.65 226 | 99.21 386 | 97.21 348 | 95.77 388 | 98.46 418 |
|
| DIV-MVS_self_test | | | 98.01 279 | 97.85 279 | 98.48 325 | 99.24 318 | 97.95 300 | 98.71 442 | 99.35 309 | 96.50 372 | 98.60 371 | 99.54 294 | 95.72 224 | 99.03 414 | 97.21 348 | 95.77 388 | 98.46 418 |
|
| test-LLR | | | 98.06 266 | 97.90 272 | 98.55 318 | 98.79 404 | 97.10 339 | 98.67 444 | 97.75 465 | 97.34 302 | 98.61 369 | 98.85 423 | 94.45 294 | 99.45 331 | 97.25 346 | 99.38 183 | 99.10 295 |
|
| TESTMET0.1,1 | | | 97.55 349 | 97.27 360 | 98.40 341 | 98.93 384 | 96.53 381 | 98.67 444 | 97.61 468 | 96.96 338 | 98.64 363 | 99.28 375 | 88.63 424 | 99.45 331 | 97.30 343 | 99.38 183 | 99.21 290 |
|
| test-mter | | | 97.49 360 | 97.13 367 | 98.55 318 | 98.79 404 | 97.10 339 | 98.67 444 | 97.75 465 | 96.65 359 | 98.61 369 | 98.85 423 | 88.23 428 | 99.45 331 | 97.25 346 | 99.38 183 | 99.10 295 |
|
| mvs5depth | | | 96.66 387 | 96.22 391 | 97.97 377 | 97.00 465 | 96.28 390 | 98.66 447 | 99.03 391 | 96.61 364 | 96.93 441 | 99.79 169 | 87.20 438 | 99.47 327 | 96.65 384 | 94.13 424 | 98.16 438 |
|
| IB-MVS | | 95.67 18 | 96.22 395 | 95.44 409 | 98.57 312 | 99.21 325 | 96.70 372 | 98.65 448 | 97.74 467 | 96.71 354 | 97.27 430 | 98.54 438 | 86.03 447 | 99.92 123 | 98.47 226 | 86.30 469 | 99.10 295 |
| 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 |
| DPM-MVS | | | 98.95 173 | 98.71 191 | 99.66 91 | 99.63 169 | 99.55 96 | 98.64 449 | 99.10 379 | 97.93 227 | 99.42 200 | 99.55 289 | 98.67 72 | 99.80 239 | 95.80 403 | 99.68 156 | 99.61 192 |
|
| thisisatest0515 | | | 98.14 256 | 97.79 283 | 99.19 222 | 99.50 241 | 98.50 265 | 98.61 450 | 96.82 475 | 96.95 340 | 99.54 174 | 99.43 330 | 91.66 379 | 99.86 181 | 98.08 267 | 99.51 174 | 99.22 289 |
|
| DeepPCF-MVS | | 98.18 3 | 98.81 197 | 99.37 44 | 97.12 424 | 99.60 195 | 91.75 466 | 98.61 450 | 99.44 258 | 99.35 25 | 99.83 64 | 99.85 85 | 98.70 69 | 99.81 232 | 99.02 136 | 99.91 46 | 99.81 79 |
|
| cl22 | | | 97.85 302 | 97.64 306 | 98.48 325 | 99.09 357 | 97.87 304 | 98.60 452 | 99.33 322 | 97.11 325 | 98.87 326 | 99.22 384 | 92.38 362 | 99.17 391 | 98.21 250 | 95.99 382 | 98.42 421 |
|
| FE-MVSNET3 | | | 98.09 261 | 97.82 281 | 98.89 266 | 98.70 421 | 98.90 209 | 98.57 453 | 99.47 226 | 96.78 350 | 98.87 326 | 99.05 402 | 94.75 272 | 99.23 376 | 97.45 333 | 96.74 362 | 98.53 408 |
|
| GA-MVS | | | 97.85 302 | 97.47 325 | 99.00 243 | 99.38 278 | 97.99 294 | 98.57 453 | 99.15 373 | 97.04 333 | 98.90 320 | 99.30 371 | 89.83 407 | 99.38 346 | 96.70 379 | 98.33 284 | 99.62 190 |
|
| TinyColmap | | | 97.12 377 | 96.89 376 | 97.83 394 | 99.07 361 | 95.52 415 | 98.57 453 | 98.74 433 | 97.58 273 | 97.81 419 | 99.79 169 | 88.16 429 | 99.56 320 | 95.10 419 | 97.21 355 | 98.39 425 |
|
| eth_miper_zixun_eth | | | 98.05 271 | 97.96 265 | 98.33 346 | 99.26 312 | 97.38 326 | 98.56 456 | 99.31 336 | 96.65 359 | 98.88 323 | 99.52 302 | 96.58 174 | 99.12 402 | 97.39 337 | 95.53 398 | 98.47 415 |
|
| CMPMVS |  | 69.68 23 | 94.13 429 | 94.90 415 | 91.84 456 | 97.24 460 | 80.01 486 | 98.52 457 | 99.48 204 | 89.01 469 | 91.99 473 | 99.67 241 | 85.67 449 | 99.13 397 | 95.44 412 | 97.03 360 | 96.39 474 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| USDC | | | 97.34 367 | 97.20 362 | 97.75 400 | 99.07 361 | 95.20 424 | 98.51 458 | 99.04 389 | 97.99 222 | 98.31 390 | 99.86 78 | 89.02 414 | 99.55 322 | 95.67 408 | 97.36 350 | 98.49 412 |
|
| FE-blended-shiyan7 | | | 95.43 412 | 94.66 418 | 97.77 399 | 96.45 468 | 95.68 408 | 98.48 459 | 99.28 347 | 92.18 456 | 98.36 386 | 97.68 463 | 91.20 390 | 99.03 414 | 97.31 341 | 80.97 478 | 98.60 399 |
|
| ambc | | | | | 93.06 454 | 92.68 485 | 82.36 479 | 98.47 460 | 98.73 439 | | 95.09 458 | 97.41 468 | 55.55 485 | 99.10 405 | 96.42 389 | 91.32 451 | 97.71 458 |
|
| miper_enhance_ethall | | | 98.16 254 | 98.08 252 | 98.41 339 | 98.96 382 | 97.72 312 | 98.45 461 | 99.32 332 | 96.95 340 | 98.97 309 | 99.17 389 | 97.06 146 | 99.22 381 | 97.86 284 | 95.99 382 | 98.29 430 |
|
| CHOSEN 280x420 | | | 99.12 135 | 99.13 95 | 99.08 232 | 99.66 150 | 97.89 303 | 98.43 462 | 99.71 16 | 98.88 83 | 99.62 151 | 99.76 189 | 96.63 170 | 99.70 286 | 99.46 67 | 99.99 1 | 99.66 169 |
|
| testmvs | | | 39.17 457 | 43.78 459 | 25.37 475 | 36.04 498 | 16.84 500 | 98.36 463 | 26.56 497 | 20.06 491 | 38.51 492 | 67.32 488 | 29.64 494 | 15.30 494 | 37.59 492 | 39.90 490 | 43.98 489 |
|
| FPMVS | | | 84.93 448 | 85.65 449 | 82.75 470 | 86.77 491 | 63.39 496 | 98.35 464 | 98.92 404 | 74.11 482 | 83.39 481 | 98.98 413 | 50.85 488 | 92.40 485 | 84.54 481 | 94.97 409 | 92.46 480 |
|
| KD-MVS_2432*1600 | | | 94.62 424 | 93.72 432 | 97.31 418 | 97.19 462 | 95.82 405 | 98.34 465 | 99.20 367 | 95.00 425 | 97.57 422 | 98.35 445 | 87.95 431 | 98.10 456 | 92.87 450 | 77.00 483 | 98.01 447 |
|
| miper_refine_blended | | | 94.62 424 | 93.72 432 | 97.31 418 | 97.19 462 | 95.82 405 | 98.34 465 | 99.20 367 | 95.00 425 | 97.57 422 | 98.35 445 | 87.95 431 | 98.10 456 | 92.87 450 | 77.00 483 | 98.01 447 |
|
| CL-MVSNet_self_test | | | 94.49 426 | 93.97 430 | 96.08 442 | 96.16 471 | 93.67 454 | 98.33 467 | 99.38 292 | 95.13 418 | 97.33 429 | 98.15 452 | 92.69 350 | 96.57 475 | 88.67 467 | 79.87 481 | 97.99 451 |
|
| PVSNet | | 96.02 17 | 98.85 193 | 98.84 176 | 98.89 266 | 99.73 107 | 97.28 329 | 98.32 468 | 99.60 67 | 97.86 234 | 99.50 181 | 99.57 283 | 96.75 165 | 99.86 181 | 98.56 216 | 99.70 152 | 99.54 219 |
|
| PAPM | | | 97.59 347 | 97.09 369 | 99.07 233 | 99.06 363 | 98.26 279 | 98.30 469 | 99.10 379 | 94.88 427 | 98.08 404 | 99.34 360 | 96.27 193 | 99.64 306 | 89.87 463 | 98.92 244 | 99.31 279 |
|
| Patchmatch-RL test | | | 95.84 404 | 95.81 402 | 95.95 443 | 95.61 474 | 90.57 469 | 98.24 470 | 98.39 451 | 95.10 422 | 95.20 456 | 98.67 433 | 94.78 267 | 97.77 464 | 96.28 394 | 90.02 459 | 99.51 235 |
|
| UnsupCasMVSNet_bld | | | 93.53 433 | 92.51 439 | 96.58 438 | 97.38 456 | 93.82 449 | 98.24 470 | 99.48 204 | 91.10 463 | 93.10 468 | 96.66 474 | 74.89 477 | 98.37 451 | 94.03 435 | 87.71 467 | 97.56 464 |
|
| LCM-MVSNet | | | 86.80 447 | 85.22 451 | 91.53 458 | 87.81 490 | 80.96 484 | 98.23 472 | 98.99 395 | 71.05 483 | 90.13 478 | 96.51 475 | 48.45 490 | 96.88 474 | 90.51 460 | 85.30 470 | 96.76 470 |
|
| cascas | | | 97.69 335 | 97.43 337 | 98.48 325 | 98.60 432 | 97.30 328 | 98.18 473 | 99.39 284 | 92.96 450 | 98.41 382 | 98.78 430 | 93.77 323 | 99.27 369 | 98.16 256 | 98.61 266 | 98.86 321 |
|
| kuosan | | | 90.92 442 | 90.11 447 | 93.34 451 | 98.78 407 | 85.59 476 | 98.15 474 | 93.16 491 | 89.37 468 | 92.07 472 | 98.38 444 | 81.48 471 | 95.19 481 | 62.54 490 | 97.04 359 | 99.25 286 |
|
| Effi-MVS+ | | | 98.81 197 | 98.59 214 | 99.48 160 | 99.46 253 | 99.12 163 | 98.08 475 | 99.50 179 | 97.50 285 | 99.38 214 | 99.41 336 | 96.37 187 | 99.81 232 | 99.11 122 | 98.54 274 | 99.51 235 |
|
| PCF-MVS | | 97.08 14 | 97.66 342 | 97.06 370 | 99.47 166 | 99.61 189 | 99.09 165 | 98.04 476 | 99.25 356 | 91.24 462 | 98.51 376 | 99.70 216 | 94.55 288 | 99.91 135 | 92.76 452 | 99.85 94 | 99.42 261 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| PVSNet_0 | | 94.43 19 | 96.09 400 | 95.47 407 | 97.94 380 | 99.31 299 | 94.34 446 | 97.81 477 | 99.70 18 | 97.12 322 | 97.46 424 | 98.75 431 | 89.71 408 | 99.79 245 | 97.69 308 | 81.69 476 | 99.68 160 |
|
| E-PMN | | | 80.61 451 | 79.88 453 | 82.81 469 | 90.75 487 | 76.38 490 | 97.69 478 | 95.76 482 | 66.44 487 | 83.52 480 | 92.25 482 | 62.54 482 | 87.16 489 | 68.53 488 | 61.40 486 | 84.89 487 |
|
| dongtai | | | 93.26 434 | 92.93 438 | 94.25 447 | 99.39 276 | 85.68 475 | 97.68 479 | 93.27 489 | 92.87 451 | 96.85 442 | 99.39 344 | 82.33 468 | 97.48 469 | 76.78 483 | 97.80 317 | 99.58 210 |
|
| ANet_high | | | 77.30 453 | 74.86 457 | 84.62 468 | 75.88 494 | 77.61 488 | 97.63 480 | 93.15 492 | 88.81 470 | 64.27 489 | 89.29 486 | 36.51 492 | 83.93 491 | 75.89 485 | 52.31 488 | 92.33 482 |
|
| EMVS | | | 80.02 452 | 79.22 454 | 82.43 471 | 91.19 486 | 76.40 489 | 97.55 481 | 92.49 494 | 66.36 488 | 83.01 482 | 91.27 484 | 64.63 481 | 85.79 490 | 65.82 489 | 60.65 487 | 85.08 486 |
|
| MVE |  | 76.82 21 | 76.91 454 | 74.31 458 | 84.70 467 | 85.38 493 | 76.05 491 | 96.88 482 | 93.17 490 | 67.39 486 | 71.28 488 | 89.01 487 | 21.66 497 | 87.69 488 | 71.74 487 | 72.29 485 | 90.35 484 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| test_method | | | 91.10 440 | 91.36 442 | 90.31 461 | 95.85 472 | 73.72 494 | 94.89 483 | 99.25 356 | 68.39 485 | 95.82 452 | 99.02 407 | 80.50 474 | 98.95 433 | 93.64 439 | 94.89 413 | 98.25 433 |
|
| Gipuma |  | | 90.99 441 | 90.15 446 | 93.51 450 | 98.73 416 | 90.12 470 | 93.98 484 | 99.45 249 | 79.32 481 | 92.28 471 | 94.91 478 | 69.61 478 | 97.98 460 | 87.42 474 | 95.67 392 | 92.45 481 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| PMVS |  | 70.75 22 | 75.98 455 | 74.97 456 | 79.01 472 | 70.98 495 | 55.18 497 | 93.37 485 | 98.21 458 | 65.08 489 | 61.78 490 | 93.83 480 | 21.74 496 | 92.53 484 | 78.59 482 | 91.12 454 | 89.34 485 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| tmp_tt | | | 82.80 449 | 81.52 452 | 86.66 466 | 66.61 496 | 68.44 495 | 92.79 486 | 97.92 462 | 68.96 484 | 80.04 487 | 99.85 85 | 85.77 448 | 96.15 479 | 97.86 284 | 43.89 489 | 95.39 479 |
|
| wuyk23d | | | 40.18 456 | 41.29 461 | 36.84 473 | 86.18 492 | 49.12 498 | 79.73 487 | 22.81 498 | 27.64 490 | 25.46 493 | 28.45 493 | 21.98 495 | 48.89 492 | 55.80 491 | 23.56 492 | 12.51 490 |
|
| mmdepth | | | 0.02 463 | 0.03 466 | 0.00 476 | 0.00 499 | 0.00 501 | 0.00 488 | 0.00 500 | 0.00 494 | 0.00 495 | 0.27 495 | 0.00 498 | 0.00 495 | 0.00 494 | 0.00 493 | 0.00 491 |
|
| monomultidepth | | | 0.02 463 | 0.03 466 | 0.00 476 | 0.00 499 | 0.00 501 | 0.00 488 | 0.00 500 | 0.00 494 | 0.00 495 | 0.27 495 | 0.00 498 | 0.00 495 | 0.00 494 | 0.00 493 | 0.00 491 |
|
| test_blank | | | 0.13 462 | 0.17 465 | 0.00 476 | 0.00 499 | 0.00 501 | 0.00 488 | 0.00 500 | 0.00 494 | 0.00 495 | 1.57 494 | 0.00 498 | 0.00 495 | 0.00 494 | 0.00 493 | 0.00 491 |
|
| uanet_test | | | 0.02 463 | 0.03 466 | 0.00 476 | 0.00 499 | 0.00 501 | 0.00 488 | 0.00 500 | 0.00 494 | 0.00 495 | 0.27 495 | 0.00 498 | 0.00 495 | 0.00 494 | 0.00 493 | 0.00 491 |
|
| DCPMVS | | | 0.02 463 | 0.03 466 | 0.00 476 | 0.00 499 | 0.00 501 | 0.00 488 | 0.00 500 | 0.00 494 | 0.00 495 | 0.27 495 | 0.00 498 | 0.00 495 | 0.00 494 | 0.00 493 | 0.00 491 |
|
| cdsmvs_eth3d_5k | | | 24.64 459 | 32.85 462 | 0.00 476 | 0.00 499 | 0.00 501 | 0.00 488 | 99.51 156 | 0.00 494 | 0.00 495 | 99.56 286 | 96.58 174 | 0.00 495 | 0.00 494 | 0.00 493 | 0.00 491 |
|
| pcd_1.5k_mvsjas | | | 8.27 461 | 11.03 464 | 0.00 476 | 0.00 499 | 0.00 501 | 0.00 488 | 0.00 500 | 0.00 494 | 0.00 495 | 0.27 495 | 99.01 20 | 0.00 495 | 0.00 494 | 0.00 493 | 0.00 491 |
|
| sosnet-low-res | | | 0.02 463 | 0.03 466 | 0.00 476 | 0.00 499 | 0.00 501 | 0.00 488 | 0.00 500 | 0.00 494 | 0.00 495 | 0.27 495 | 0.00 498 | 0.00 495 | 0.00 494 | 0.00 493 | 0.00 491 |
|
| sosnet | | | 0.02 463 | 0.03 466 | 0.00 476 | 0.00 499 | 0.00 501 | 0.00 488 | 0.00 500 | 0.00 494 | 0.00 495 | 0.27 495 | 0.00 498 | 0.00 495 | 0.00 494 | 0.00 493 | 0.00 491 |
|
| uncertanet | | | 0.02 463 | 0.03 466 | 0.00 476 | 0.00 499 | 0.00 501 | 0.00 488 | 0.00 500 | 0.00 494 | 0.00 495 | 0.27 495 | 0.00 498 | 0.00 495 | 0.00 494 | 0.00 493 | 0.00 491 |
|
| Regformer | | | 0.02 463 | 0.03 466 | 0.00 476 | 0.00 499 | 0.00 501 | 0.00 488 | 0.00 500 | 0.00 494 | 0.00 495 | 0.27 495 | 0.00 498 | 0.00 495 | 0.00 494 | 0.00 493 | 0.00 491 |
|
| ab-mvs-re | | | 8.30 460 | 11.06 463 | 0.00 476 | 0.00 499 | 0.00 501 | 0.00 488 | 0.00 500 | 0.00 494 | 0.00 495 | 99.58 278 | 0.00 498 | 0.00 495 | 0.00 494 | 0.00 493 | 0.00 491 |
|
| uanet | | | 0.02 463 | 0.03 466 | 0.00 476 | 0.00 499 | 0.00 501 | 0.00 488 | 0.00 500 | 0.00 494 | 0.00 495 | 0.27 495 | 0.00 498 | 0.00 495 | 0.00 494 | 0.00 493 | 0.00 491 |
|
| WAC-MVS | | | | | | | 97.16 336 | | | | | | | | 95.47 411 | | |
|
| MSC_two_6792asdad | | | | | 99.87 21 | 99.51 229 | 99.76 49 | | 99.33 322 | | | | | 99.96 41 | 98.87 159 | 99.84 102 | 99.89 29 |
|
| PC_three_1452 | | | | | | | | | | 98.18 173 | 99.84 56 | 99.70 216 | 99.31 3 | 98.52 449 | 98.30 245 | 99.80 125 | 99.81 79 |
|
| No_MVS | | | | | 99.87 21 | 99.51 229 | 99.76 49 | | 99.33 322 | | | | | 99.96 41 | 98.87 159 | 99.84 102 | 99.89 29 |
|
| test_one_0601 | | | | | | 99.81 57 | 99.88 10 | | 99.49 192 | 98.97 75 | 99.65 139 | 99.81 134 | 99.09 16 | | | | |
|
| eth-test2 | | | | | | 0.00 499 | | | | | | | | | | | |
|
| eth-test | | | | | | 0.00 499 | | | | | | | | | | | |
|
| ZD-MVS | | | | | | 99.71 117 | 99.79 41 | | 99.61 60 | 96.84 347 | 99.56 167 | 99.54 294 | 98.58 78 | 99.96 41 | 96.93 369 | 99.75 142 | |
|
| IU-MVS | | | | | | 99.84 38 | 99.88 10 | | 99.32 332 | 98.30 149 | 99.84 56 | | | | 98.86 164 | 99.85 94 | 99.89 29 |
|
| test_241102_TWO | | | | | | | | | 99.48 204 | 99.08 56 | 99.88 43 | 99.81 134 | 98.94 34 | 99.96 41 | 98.91 153 | 99.84 102 | 99.88 35 |
|
| test_241102_ONE | | | | | | 99.84 38 | 99.90 3 | | 99.48 204 | 99.07 58 | 99.91 31 | 99.74 199 | 99.20 9 | 99.76 257 | | | |
|
| test_0728_THIRD | | | | | | | | | | 98.99 69 | 99.81 69 | 99.80 152 | 99.09 16 | 99.96 41 | 98.85 166 | 99.90 57 | 99.88 35 |
|
| GSMVS | | | | | | | | | | | | | | | | | 99.52 226 |
|
| test_part2 | | | | | | 99.81 57 | 99.83 22 | | | | 99.77 85 | | | | | | |
|
| sam_mvs1 | | | | | | | | | | | | | 94.86 262 | | | | 99.52 226 |
|
| sam_mvs | | | | | | | | | | | | | 94.72 275 | | | | |
|
| MTGPA |  | | | | | | | | 99.47 226 | | | | | | | | |
|
| test_post | | | | | | | | | | | | 65.99 490 | 94.65 282 | 99.73 269 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 98.70 432 | 94.79 266 | 99.74 263 | | | |
|
| gm-plane-assit | | | | | | 98.54 437 | 92.96 460 | | | 94.65 433 | | 99.15 392 | | 99.64 306 | 97.56 319 | | |
|
| test9_res | | | | | | | | | | | | | | | 97.49 327 | 99.72 148 | 99.75 113 |
|
| agg_prior2 | | | | | | | | | | | | | | | 97.21 348 | 99.73 147 | 99.75 113 |
|
| agg_prior | | | | | | 99.67 137 | 99.62 83 | | 99.40 281 | | 98.87 326 | | | 99.91 135 | | | |
|
| TestCases | | | | | 99.31 199 | 99.86 25 | 98.48 268 | | 99.61 60 | 97.85 237 | 99.36 222 | 99.85 85 | 95.95 208 | 99.85 187 | 96.66 382 | 99.83 113 | 99.59 206 |
|
| test_prior | | | | | 99.68 89 | 99.67 137 | 99.48 111 | | 99.56 90 | | | | | 99.83 218 | | | 99.74 118 |
|
| æ–°å‡ ä½•1 | | | | | 99.75 77 | 99.75 92 | 99.59 88 | | 99.54 109 | 96.76 351 | 99.29 239 | 99.64 254 | 98.43 89 | 99.94 92 | 96.92 371 | 99.66 159 | 99.72 137 |
|
| 旧先验1 | | | | | | 99.74 100 | 99.59 88 | | 99.54 109 | | | 99.69 227 | 98.47 86 | | | 99.68 156 | 99.73 127 |
|
| 原ACMM1 | | | | | 99.65 95 | 99.73 107 | 99.33 130 | | 99.47 226 | 97.46 287 | 99.12 278 | 99.66 246 | 98.67 72 | 99.91 135 | 97.70 307 | 99.69 153 | 99.71 148 |
|
| testdata2 | | | | | | | | | | | | | | 99.95 76 | 96.67 381 | | |
|
| segment_acmp | | | | | | | | | | | | | 98.96 27 | | | | |
|
| testdata | | | | | 99.54 125 | 99.75 92 | 98.95 193 | | 99.51 156 | 97.07 328 | 99.43 197 | 99.70 216 | 98.87 42 | 99.94 92 | 97.76 298 | 99.64 162 | 99.72 137 |
|
| test12 | | | | | 99.75 77 | 99.64 165 | 99.61 85 | | 99.29 345 | | 99.21 261 | | 98.38 95 | 99.89 163 | | 99.74 145 | 99.74 118 |
|
| plane_prior7 | | | | | | 99.29 304 | 97.03 351 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 99.27 309 | 96.98 355 | | | | | | 92.71 348 | | | | |
|
| plane_prior5 | | | | | | | | | 99.47 226 | | | | | 99.69 291 | 97.78 294 | 97.63 323 | 98.67 365 |
|
| plane_prior4 | | | | | | | | | | | | 99.61 269 | | | | | |
|
| plane_prior3 | | | | | | | 97.00 353 | | | 98.69 107 | 99.11 280 | | | | | | |
|
| plane_prior1 | | | | | | 99.26 312 | | | | | | | | | | | |
|
| n2 | | | | | | | | | 0.00 500 | | | | | | | | |
|
| nn | | | | | | | | | 0.00 500 | | | | | | | | |
|
| door-mid | | | | | | | | | 98.05 461 | | | | | | | | |
|
| lessismore_v0 | | | | | 97.79 398 | 98.69 423 | 95.44 419 | | 94.75 485 | | 95.71 453 | 99.87 70 | 88.69 420 | 99.32 361 | 95.89 400 | 94.93 411 | 98.62 387 |
|
| LGP-MVS_train | | | | | 98.49 323 | 99.33 291 | 97.05 345 | | 99.55 100 | 97.46 287 | 99.24 253 | 99.83 106 | 92.58 353 | 99.72 273 | 98.09 263 | 97.51 335 | 98.68 357 |
|
| test11 | | | | | | | | | 99.35 309 | | | | | | | | |
|
| door | | | | | | | | | 97.92 462 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 96.83 367 | | | | | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 97.19 352 | | |
|
| HQP4-MVS | | | | | | | | | | | 98.66 356 | | | 99.64 306 | | | 98.64 378 |
|
| HQP3-MVS | | | | | | | | | 99.39 284 | | | | | | | 97.58 328 | |
|
| HQP2-MVS | | | | | | | | | | | | | 92.47 357 | | | | |
|
| NP-MVS | | | | | | 99.23 320 | 96.92 363 | | | | | 99.40 340 | | | | | |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 97.19 356 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 97.43 346 | |
|
| Test By Simon | | | | | | | | | | | | | 98.75 60 | | | | |
|
| ITE_SJBPF | | | | | 98.08 368 | 99.29 304 | 96.37 386 | | 98.92 404 | 98.34 143 | 98.83 333 | 99.75 194 | 91.09 392 | 99.62 313 | 95.82 401 | 97.40 348 | 98.25 433 |
|
| DeepMVS_CX |  | | | | 93.34 451 | 99.29 304 | 82.27 480 | | 99.22 362 | 85.15 477 | 96.33 446 | 99.05 402 | 90.97 394 | 99.73 269 | 93.57 440 | 97.77 319 | 98.01 447 |
|