| CS-MVS | | | 99.50 31 | 99.48 22 | 99.54 126 | 99.76 82 | 99.42 119 | 99.90 1 | 99.55 99 | 98.56 119 | 99.78 81 | 99.70 218 | 98.65 75 | 99.79 248 | 99.65 41 | 99.78 134 | 99.41 265 |
|
| mmtdpeth | | | 96.95 383 | 96.71 382 | 97.67 414 | 99.33 293 | 94.90 441 | 99.89 2 | 99.28 350 | 98.15 177 | 99.72 102 | 98.57 440 | 86.56 451 | 99.90 148 | 99.82 29 | 89.02 467 | 98.20 446 |
|
| SPE-MVS-test | | | 99.49 33 | 99.48 22 | 99.54 126 | 99.78 70 | 99.30 139 | 99.89 2 | 99.58 77 | 98.56 119 | 99.73 97 | 99.69 229 | 98.55 82 | 99.82 230 | 99.69 34 | 99.85 93 | 99.48 244 |
|
| MVSFormer | | | 99.17 108 | 99.12 96 | 99.29 209 | 99.51 230 | 98.94 199 | 99.88 4 | 99.46 240 | 97.55 279 | 99.80 74 | 99.65 250 | 97.39 125 | 99.28 371 | 99.03 135 | 99.85 93 | 99.65 177 |
|
| test_djsdf | | | 98.67 215 | 98.57 216 | 98.98 247 | 98.70 423 | 98.91 206 | 99.88 4 | 99.46 240 | 97.55 279 | 99.22 259 | 99.88 56 | 95.73 223 | 99.28 371 | 99.03 135 | 97.62 327 | 98.75 340 |
|
| OurMVSNet-221017-0 | | | 97.88 299 | 97.77 290 | 98.19 364 | 98.71 422 | 96.53 384 | 99.88 4 | 99.00 400 | 97.79 249 | 98.78 344 | 99.94 6 | 91.68 379 | 99.35 361 | 97.21 356 | 96.99 363 | 98.69 357 |
|
| EC-MVSNet | | | 99.44 50 | 99.39 39 | 99.58 117 | 99.56 209 | 99.49 110 | 99.88 4 | 99.58 77 | 98.38 138 | 99.73 97 | 99.69 229 | 98.20 103 | 99.70 290 | 99.64 43 | 99.82 117 | 99.54 221 |
|
| DVP-MVS++ | | | 99.59 15 | 99.50 19 | 99.88 15 | 99.51 230 | 99.88 10 | 99.87 8 | 99.51 156 | 98.99 69 | 99.88 42 | 99.81 135 | 99.27 7 | 99.96 41 | 98.85 167 | 99.80 125 | 99.81 79 |
|
| FOURS1 | | | | | | 99.91 1 | 99.93 1 | 99.87 8 | 99.56 89 | 99.10 48 | 99.81 69 | | | | | | |
|
| K. test v3 | | | 97.10 380 | 96.79 380 | 98.01 378 | 98.72 420 | 96.33 391 | 99.87 8 | 97.05 482 | 97.59 273 | 96.16 455 | 99.80 153 | 88.71 425 | 99.04 419 | 96.69 388 | 96.55 371 | 98.65 381 |
|
| FC-MVSNet-test | | | 98.75 208 | 98.62 209 | 99.15 231 | 99.08 362 | 99.45 116 | 99.86 11 | 99.60 67 | 98.23 166 | 98.70 356 | 99.82 120 | 96.80 162 | 99.22 387 | 99.07 130 | 96.38 374 | 98.79 330 |
|
| v7n | | | 97.87 301 | 97.52 319 | 98.92 258 | 98.76 416 | 98.58 256 | 99.84 12 | 99.46 240 | 96.20 397 | 98.91 320 | 99.70 218 | 94.89 261 | 99.44 341 | 96.03 405 | 93.89 432 | 98.75 340 |
|
| DTE-MVSNet | | | 97.51 356 | 97.19 365 | 98.46 334 | 98.63 431 | 98.13 289 | 99.84 12 | 99.48 205 | 96.68 359 | 97.97 417 | 99.67 243 | 92.92 342 | 98.56 457 | 96.88 381 | 92.60 450 | 98.70 353 |
|
| 3Dnovator | | 97.25 9 | 99.24 96 | 99.05 111 | 99.81 60 | 99.12 351 | 99.66 71 | 99.84 12 | 99.74 13 | 99.09 55 | 98.92 319 | 99.90 36 | 95.94 210 | 99.98 20 | 98.95 147 | 99.92 38 | 99.79 92 |
|
| FIs | | | 98.78 203 | 98.63 204 | 99.23 221 | 99.18 335 | 99.54 99 | 99.83 15 | 99.59 72 | 98.28 151 | 98.79 343 | 99.81 135 | 96.75 165 | 99.37 354 | 99.08 129 | 96.38 374 | 98.78 332 |
|
| MGCFI-Net | | | 99.01 166 | 98.85 174 | 99.50 151 | 99.42 264 | 99.26 145 | 99.82 16 | 99.48 205 | 98.60 116 | 99.28 241 | 98.81 429 | 97.04 147 | 99.76 261 | 99.29 95 | 97.87 316 | 99.47 250 |
|
| test_fmvs3 | | | 92.10 446 | 91.77 449 | 93.08 463 | 96.19 478 | 86.25 483 | 99.82 16 | 98.62 453 | 96.65 362 | 95.19 463 | 96.90 481 | 55.05 497 | 95.93 490 | 96.63 393 | 90.92 459 | 97.06 479 |
|
| jajsoiax | | | 98.43 229 | 98.28 236 | 98.88 273 | 98.60 435 | 98.43 275 | 99.82 16 | 99.53 124 | 98.19 172 | 98.63 368 | 99.80 153 | 93.22 337 | 99.44 341 | 99.22 105 | 97.50 339 | 98.77 336 |
|
| OpenMVS |  | 96.50 16 | 98.47 226 | 98.12 247 | 99.52 141 | 99.04 370 | 99.53 102 | 99.82 16 | 99.72 14 | 94.56 437 | 98.08 410 | 99.88 56 | 94.73 277 | 99.98 20 | 97.47 335 | 99.76 140 | 99.06 308 |
|
| SDMVSNet | | | 99.11 140 | 98.90 160 | 99.75 77 | 99.81 57 | 99.59 89 | 99.81 20 | 99.65 39 | 98.78 99 | 99.64 145 | 99.88 56 | 94.56 289 | 99.93 109 | 99.67 37 | 98.26 294 | 99.72 138 |
|
| nrg030 | | | 98.64 219 | 98.42 226 | 99.28 213 | 99.05 368 | 99.69 63 | 99.81 20 | 99.46 240 | 98.04 217 | 99.01 302 | 99.82 120 | 96.69 167 | 99.38 351 | 99.34 81 | 94.59 419 | 98.78 332 |
|
| HPM-MVS |  | | 99.42 55 | 99.28 68 | 99.83 56 | 99.90 4 | 99.72 56 | 99.81 20 | 99.54 108 | 97.59 273 | 99.68 119 | 99.63 262 | 98.91 39 | 99.94 92 | 98.58 211 | 99.91 45 | 99.84 53 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| EPP-MVSNet | | | 99.13 126 | 98.99 137 | 99.53 134 | 99.65 160 | 99.06 173 | 99.81 20 | 99.33 325 | 97.43 296 | 99.60 160 | 99.88 56 | 97.14 138 | 99.84 199 | 99.13 120 | 98.94 243 | 99.69 155 |
|
| 3Dnovator+ | | 97.12 13 | 99.18 103 | 98.97 142 | 99.82 57 | 99.17 343 | 99.68 64 | 99.81 20 | 99.51 156 | 99.20 33 | 98.72 349 | 99.89 45 | 95.68 225 | 99.97 29 | 98.86 165 | 99.86 86 | 99.81 79 |
|
| sasdasda | | | 99.02 161 | 98.86 171 | 99.51 146 | 99.42 264 | 99.32 132 | 99.80 25 | 99.48 205 | 98.63 111 | 99.31 233 | 98.81 429 | 97.09 143 | 99.75 264 | 99.27 100 | 97.90 313 | 99.47 250 |
|
| FA-MVS(test-final) | | | 98.75 208 | 98.53 220 | 99.41 182 | 99.55 213 | 99.05 175 | 99.80 25 | 99.01 399 | 96.59 372 | 99.58 164 | 99.59 276 | 95.39 235 | 99.90 148 | 97.78 298 | 99.49 177 | 99.28 283 |
|
| GeoE | | | 98.85 194 | 98.62 209 | 99.53 134 | 99.61 189 | 99.08 170 | 99.80 25 | 99.51 156 | 97.10 328 | 99.31 233 | 99.78 177 | 95.23 246 | 99.77 257 | 98.21 254 | 99.03 237 | 99.75 113 |
|
| canonicalmvs | | | 99.02 161 | 98.86 171 | 99.51 146 | 99.42 264 | 99.32 132 | 99.80 25 | 99.48 205 | 98.63 111 | 99.31 233 | 98.81 429 | 97.09 143 | 99.75 264 | 99.27 100 | 97.90 313 | 99.47 250 |
|
| v8 | | | 97.95 290 | 97.63 309 | 98.93 256 | 98.95 385 | 98.81 234 | 99.80 25 | 99.41 276 | 96.03 411 | 99.10 285 | 99.42 334 | 94.92 258 | 99.30 369 | 96.94 376 | 94.08 429 | 98.66 379 |
|
| Vis-MVSNet (Re-imp) | | | 98.87 182 | 98.72 190 | 99.31 201 | 99.71 117 | 98.88 216 | 99.80 25 | 99.44 260 | 97.91 231 | 99.36 223 | 99.78 177 | 95.49 232 | 99.43 345 | 97.91 283 | 99.11 219 | 99.62 192 |
|
| Anonymous20240521 | | | 96.20 399 | 95.89 402 | 97.13 432 | 97.72 456 | 94.96 440 | 99.79 31 | 99.29 348 | 93.01 455 | 97.20 440 | 99.03 408 | 89.69 415 | 98.36 461 | 91.16 467 | 96.13 380 | 98.07 453 |
|
| balanced_ft_v1 | | | 99.02 161 | 98.98 140 | 99.15 231 | 99.39 277 | 98.12 291 | 99.79 31 | 99.51 156 | 98.20 171 | 99.66 130 | 99.87 70 | 94.84 263 | 99.93 109 | 99.69 34 | 99.84 101 | 99.41 265 |
|
| PS-MVSNAJss | | | 98.92 176 | 98.92 155 | 98.90 264 | 98.78 409 | 98.53 260 | 99.78 33 | 99.54 108 | 98.07 203 | 99.00 306 | 99.76 190 | 99.01 20 | 99.37 354 | 99.13 120 | 97.23 356 | 98.81 329 |
|
| PEN-MVS | | | 97.76 322 | 97.44 335 | 98.72 299 | 98.77 414 | 98.54 259 | 99.78 33 | 99.51 156 | 97.06 332 | 98.29 399 | 99.64 256 | 92.63 355 | 98.89 448 | 98.09 267 | 93.16 442 | 98.72 346 |
|
| anonymousdsp | | | 98.44 228 | 98.28 236 | 98.94 254 | 98.50 441 | 98.96 189 | 99.77 35 | 99.50 180 | 97.07 330 | 98.87 328 | 99.77 186 | 94.76 273 | 99.28 371 | 98.66 197 | 97.60 328 | 98.57 413 |
|
| SixPastTwentyTwo | | | 97.50 357 | 97.33 353 | 98.03 375 | 98.65 429 | 96.23 396 | 99.77 35 | 98.68 448 | 97.14 321 | 97.90 420 | 99.93 10 | 90.45 403 | 99.18 395 | 97.00 370 | 96.43 373 | 98.67 370 |
|
| QAPM | | | 98.67 215 | 98.30 235 | 99.80 64 | 99.20 329 | 99.67 68 | 99.77 35 | 99.72 14 | 94.74 434 | 98.73 348 | 99.90 36 | 95.78 221 | 99.98 20 | 96.96 374 | 99.88 75 | 99.76 107 |
|
| SSC-MVS | | | 92.73 445 | 93.73 438 | 89.72 473 | 95.02 490 | 81.38 493 | 99.76 38 | 99.23 366 | 94.87 431 | 92.80 480 | 98.93 421 | 94.71 279 | 91.37 497 | 74.49 495 | 93.80 433 | 96.42 483 |
|
| test_vis3_rt | | | 87.04 454 | 85.81 457 | 90.73 470 | 93.99 493 | 81.96 491 | 99.76 38 | 90.23 505 | 92.81 458 | 81.35 493 | 91.56 493 | 40.06 501 | 99.07 414 | 94.27 439 | 88.23 469 | 91.15 493 |
|
| dcpmvs_2 | | | 99.23 97 | 99.58 9 | 98.16 366 | 99.83 47 | 94.68 446 | 99.76 38 | 99.52 133 | 99.07 58 | 99.98 13 | 99.88 56 | 98.56 81 | 99.93 109 | 99.67 37 | 99.98 4 | 99.87 40 |
|
| RRT-MVS | | | 98.91 177 | 98.75 186 | 99.39 188 | 99.46 254 | 98.61 254 | 99.76 38 | 99.50 180 | 98.06 207 | 99.81 69 | 99.88 56 | 93.91 321 | 99.94 92 | 99.11 123 | 99.27 194 | 99.61 194 |
|
| HPM-MVS_fast | | | 99.51 29 | 99.40 37 | 99.85 43 | 99.91 1 | 99.79 41 | 99.76 38 | 99.56 89 | 97.72 258 | 99.76 91 | 99.75 195 | 99.13 14 | 99.92 123 | 99.07 130 | 99.92 38 | 99.85 46 |
|
| lecture | | | 99.60 14 | 99.50 19 | 99.89 11 | 99.89 8 | 99.90 3 | 99.75 43 | 99.59 72 | 99.06 61 | 99.88 42 | 99.85 86 | 98.41 93 | 99.96 41 | 99.28 97 | 99.84 101 | 99.83 63 |
|
| MVSMamba_PlusPlus | | | 99.46 42 | 99.41 36 | 99.64 102 | 99.68 134 | 99.50 109 | 99.75 43 | 99.50 180 | 98.27 153 | 99.87 48 | 99.92 18 | 98.09 108 | 99.94 92 | 99.65 41 | 99.95 22 | 99.47 250 |
|
| v10 | | | 97.85 304 | 97.52 319 | 98.86 280 | 98.99 378 | 98.67 245 | 99.75 43 | 99.41 276 | 95.70 415 | 98.98 309 | 99.41 338 | 94.75 274 | 99.23 381 | 96.01 407 | 94.63 418 | 98.67 370 |
|
| APDe-MVS |  | | 99.66 6 | 99.57 10 | 99.92 1 | 99.77 78 | 99.89 6 | 99.75 43 | 99.56 89 | 99.02 62 | 99.88 42 | 99.85 86 | 99.18 12 | 99.96 41 | 99.22 105 | 99.92 38 | 99.90 25 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| IS-MVSNet | | | 99.05 157 | 98.87 168 | 99.57 121 | 99.73 107 | 99.32 132 | 99.75 43 | 99.20 373 | 98.02 222 | 99.56 168 | 99.86 79 | 96.54 177 | 99.67 299 | 98.09 267 | 99.13 212 | 99.73 128 |
|
| test_vis1_n | | | 97.92 294 | 97.44 335 | 99.34 193 | 99.53 221 | 98.08 293 | 99.74 48 | 99.49 193 | 99.15 38 | 100.00 1 | 99.94 6 | 79.51 484 | 99.98 20 | 99.88 26 | 99.76 140 | 99.97 4 |
|
| test_fmvs1_n | | | 98.41 232 | 98.14 244 | 99.21 222 | 99.82 53 | 97.71 318 | 99.74 48 | 99.49 193 | 99.32 29 | 99.99 2 | 99.95 3 | 85.32 462 | 99.97 29 | 99.82 29 | 99.84 101 | 99.96 7 |
|
| balanced_conf03 | | | 99.46 42 | 99.39 39 | 99.67 91 | 99.55 213 | 99.58 94 | 99.74 48 | 99.51 156 | 98.42 135 | 99.87 48 | 99.84 101 | 98.05 111 | 99.91 135 | 99.58 47 | 99.94 30 | 99.52 227 |
|
| tttt0517 | | | 98.42 230 | 98.14 244 | 99.28 213 | 99.66 149 | 98.38 278 | 99.74 48 | 96.85 484 | 97.68 264 | 99.79 76 | 99.74 201 | 91.39 389 | 99.89 163 | 98.83 173 | 99.56 170 | 99.57 215 |
|
| WB-MVS | | | 93.10 443 | 94.10 432 | 90.12 472 | 95.51 487 | 81.88 492 | 99.73 52 | 99.27 357 | 95.05 426 | 93.09 479 | 98.91 425 | 94.70 280 | 91.89 496 | 76.62 493 | 94.02 431 | 96.58 482 |
|
| test_fmvs2 | | | 97.25 374 | 97.30 356 | 97.09 434 | 99.43 262 | 93.31 467 | 99.73 52 | 98.87 422 | 98.83 89 | 99.28 241 | 99.80 153 | 84.45 467 | 99.66 302 | 97.88 285 | 97.45 344 | 98.30 439 |
|
| SD_0403 | | | 97.55 351 | 97.53 318 | 97.62 416 | 99.61 189 | 93.64 464 | 99.72 54 | 99.44 260 | 98.03 219 | 98.62 371 | 99.39 346 | 96.06 202 | 99.57 323 | 87.88 480 | 99.01 240 | 99.66 170 |
|
| MonoMVSNet | | | 98.38 236 | 98.47 224 | 98.12 371 | 98.59 437 | 96.19 398 | 99.72 54 | 98.79 433 | 97.89 233 | 99.44 195 | 99.52 304 | 96.13 199 | 98.90 447 | 98.64 199 | 97.54 334 | 99.28 283 |
|
| baseline | | | 99.15 114 | 99.02 126 | 99.53 134 | 99.66 149 | 99.14 162 | 99.72 54 | 99.48 205 | 98.35 143 | 99.42 201 | 99.84 101 | 96.07 201 | 99.79 248 | 99.51 56 | 99.14 209 | 99.67 165 |
|
| RPSCF | | | 98.22 247 | 98.62 209 | 96.99 436 | 99.82 53 | 91.58 476 | 99.72 54 | 99.44 260 | 96.61 367 | 99.66 130 | 99.89 45 | 95.92 211 | 99.82 230 | 97.46 336 | 99.10 226 | 99.57 215 |
|
| CSCG | | | 99.32 78 | 99.32 53 | 99.32 199 | 99.85 31 | 98.29 280 | 99.71 58 | 99.66 32 | 98.11 194 | 99.41 206 | 99.80 153 | 98.37 96 | 99.96 41 | 98.99 139 | 99.96 17 | 99.72 138 |
|
| dmvs_re | | | 98.08 266 | 98.16 241 | 97.85 396 | 99.55 213 | 94.67 447 | 99.70 59 | 98.92 410 | 98.15 177 | 99.06 296 | 99.35 358 | 93.67 329 | 99.25 378 | 97.77 301 | 97.25 355 | 99.64 184 |
|
| WR-MVS_H | | | 98.13 258 | 97.87 278 | 98.90 264 | 99.02 372 | 98.84 226 | 99.70 59 | 99.59 72 | 97.27 310 | 98.40 388 | 99.19 390 | 95.53 230 | 99.23 381 | 98.34 244 | 93.78 434 | 98.61 401 |
|
| mvsmamba | | | 99.06 153 | 98.96 146 | 99.36 190 | 99.47 252 | 98.64 249 | 99.70 59 | 99.05 394 | 97.61 272 | 99.65 140 | 99.83 107 | 96.54 177 | 99.92 123 | 99.19 109 | 99.62 165 | 99.51 236 |
|
| LTVRE_ROB | | 97.16 12 | 98.02 278 | 97.90 273 | 98.40 344 | 99.23 322 | 96.80 373 | 99.70 59 | 99.60 67 | 97.12 324 | 98.18 406 | 99.70 218 | 91.73 378 | 99.72 277 | 98.39 237 | 97.45 344 | 98.68 362 |
| 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 63 | 99.87 6 | 99.34 26 | 99.90 33 | 99.83 107 | | 99.95 76 | 98.83 173 | 99.89 67 | 99.83 63 |
|
| MED-MVS | | | 99.66 6 | 99.60 8 | 99.87 21 | 99.88 13 | 99.81 33 | 99.69 63 | 99.87 6 | 99.18 34 | 99.90 33 | 99.83 107 | 99.30 4 | 99.95 76 | 98.83 173 | 99.89 67 | 99.83 63 |
|
| TestfortrainingZip a | | | 99.73 1 | 99.67 1 | 99.92 1 | 99.88 13 | 99.91 2 | 99.69 63 | 99.87 6 | 99.34 26 | 99.90 33 | 99.83 107 | 99.30 4 | 99.95 76 | 99.32 84 | 99.89 67 | 99.90 25 |
|
| TestfortrainingZip | | | | | 99.69 89 | 99.58 199 | 99.62 83 | 99.69 63 | 99.38 294 | 98.98 72 | 99.84 55 | 99.75 195 | 98.84 46 | 99.78 254 | | 99.21 201 | 99.66 170 |
|
| test_f | | | 91.90 447 | 91.26 451 | 93.84 459 | 95.52 486 | 85.92 484 | 99.69 63 | 98.53 457 | 95.31 420 | 93.87 474 | 96.37 486 | 55.33 496 | 98.27 462 | 95.70 413 | 90.98 458 | 97.32 478 |
|
| XVS | | | 99.53 27 | 99.42 32 | 99.87 21 | 99.85 31 | 99.83 22 | 99.69 63 | 99.68 24 | 98.98 72 | 99.37 217 | 99.74 201 | 98.81 50 | 99.94 92 | 98.79 181 | 99.86 86 | 99.84 53 |
|
| X-MVStestdata | | | 96.55 391 | 95.45 410 | 99.87 21 | 99.85 31 | 99.83 22 | 99.69 63 | 99.68 24 | 98.98 72 | 99.37 217 | 64.01 502 | 98.81 50 | 99.94 92 | 98.79 181 | 99.86 86 | 99.84 53 |
|
| V42 | | | 98.06 268 | 97.79 285 | 98.86 280 | 98.98 381 | 98.84 226 | 99.69 63 | 99.34 317 | 96.53 374 | 99.30 237 | 99.37 352 | 94.67 282 | 99.32 366 | 97.57 323 | 94.66 417 | 98.42 431 |
|
| mPP-MVS | | | 99.44 50 | 99.30 61 | 99.86 34 | 99.88 13 | 99.79 41 | 99.69 63 | 99.48 205 | 98.12 192 | 99.50 182 | 99.75 195 | 98.78 54 | 99.97 29 | 98.57 214 | 99.89 67 | 99.83 63 |
|
| CP-MVS | | | 99.45 46 | 99.32 53 | 99.85 43 | 99.83 47 | 99.75 51 | 99.69 63 | 99.52 133 | 98.07 203 | 99.53 177 | 99.63 262 | 98.93 38 | 99.97 29 | 98.74 185 | 99.91 45 | 99.83 63 |
|
| FE-MVS | | | 98.48 225 | 98.17 240 | 99.40 183 | 99.54 220 | 98.96 189 | 99.68 73 | 98.81 429 | 95.54 417 | 99.62 152 | 99.70 218 | 93.82 324 | 99.93 109 | 97.35 346 | 99.46 178 | 99.32 280 |
|
| PS-CasMVS | | | 97.93 291 | 97.59 313 | 98.95 252 | 98.99 378 | 99.06 173 | 99.68 73 | 99.52 133 | 97.13 322 | 98.31 396 | 99.68 237 | 92.44 364 | 99.05 418 | 98.51 222 | 94.08 429 | 98.75 340 |
|
| Vis-MVSNet |  | | 99.12 134 | 98.97 142 | 99.56 123 | 99.78 70 | 99.10 166 | 99.68 73 | 99.66 32 | 98.49 126 | 99.86 52 | 99.87 70 | 94.77 272 | 99.84 199 | 99.19 109 | 99.41 182 | 99.74 118 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| KinetiMVS | | | 99.12 134 | 98.92 155 | 99.70 87 | 99.67 137 | 99.40 122 | 99.67 76 | 99.63 46 | 98.73 103 | 99.94 28 | 99.81 135 | 94.54 292 | 99.96 41 | 98.40 236 | 99.93 32 | 99.74 118 |
|
| BP-MVS1 | | | 99.12 134 | 98.94 152 | 99.65 96 | 99.51 230 | 99.30 139 | 99.67 76 | 98.92 410 | 98.48 127 | 99.84 55 | 99.69 229 | 94.96 253 | 99.92 123 | 99.62 44 | 99.79 132 | 99.71 149 |
|
| test_vis1_n_1920 | | | 98.63 220 | 98.40 228 | 99.31 201 | 99.86 25 | 97.94 306 | 99.67 76 | 99.62 51 | 99.43 17 | 99.99 2 | 99.91 26 | 87.29 443 | 100.00 1 | 99.92 24 | 99.92 38 | 99.98 2 |
|
| EIA-MVS | | | 99.18 103 | 99.09 103 | 99.45 171 | 99.49 244 | 99.18 153 | 99.67 76 | 99.53 124 | 97.66 267 | 99.40 211 | 99.44 330 | 98.10 107 | 99.81 235 | 98.94 148 | 99.62 165 | 99.35 275 |
|
| MSP-MVS | | | 99.42 55 | 99.27 72 | 99.88 15 | 99.89 8 | 99.80 38 | 99.67 76 | 99.50 180 | 98.70 107 | 99.77 85 | 99.49 314 | 98.21 102 | 99.95 76 | 98.46 229 | 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 | | | 99.10 145 | 98.97 142 | 99.48 162 | 99.49 244 | 99.14 162 | 99.67 76 | 99.34 317 | 97.31 307 | 99.58 164 | 99.76 190 | 97.65 121 | 99.82 230 | 98.87 160 | 99.07 233 | 99.46 255 |
|
| CP-MVSNet | | | 98.09 262 | 97.78 288 | 99.01 243 | 98.97 383 | 99.24 148 | 99.67 76 | 99.46 240 | 97.25 312 | 98.48 382 | 99.64 256 | 93.79 325 | 99.06 417 | 98.63 201 | 94.10 428 | 98.74 344 |
|
| MTAPA | | | 99.52 28 | 99.39 39 | 99.89 11 | 99.90 4 | 99.86 18 | 99.66 83 | 99.47 227 | 98.79 96 | 99.68 119 | 99.81 135 | 98.43 90 | 99.97 29 | 98.88 157 | 99.90 56 | 99.83 63 |
|
| HFP-MVS | | | 99.49 33 | 99.37 43 | 99.86 34 | 99.87 20 | 99.80 38 | 99.66 83 | 99.67 27 | 98.15 177 | 99.68 119 | 99.69 229 | 99.06 18 | 99.96 41 | 98.69 193 | 99.87 78 | 99.84 53 |
|
| mvs_tets | | | 98.40 235 | 98.23 238 | 98.91 262 | 98.67 428 | 98.51 266 | 99.66 83 | 99.53 124 | 98.19 172 | 98.65 365 | 99.81 135 | 92.75 346 | 99.44 341 | 99.31 86 | 97.48 343 | 98.77 336 |
|
| EU-MVSNet | | | 97.98 285 | 98.03 259 | 97.81 405 | 98.72 420 | 96.65 380 | 99.66 83 | 99.66 32 | 98.09 198 | 98.35 394 | 99.82 120 | 95.25 244 | 98.01 468 | 97.41 342 | 95.30 405 | 98.78 332 |
|
| ACMMPR | | | 99.49 33 | 99.36 45 | 99.86 34 | 99.87 20 | 99.79 41 | 99.66 83 | 99.67 27 | 98.15 177 | 99.67 125 | 99.69 229 | 98.95 32 | 99.96 41 | 98.69 193 | 99.87 78 | 99.84 53 |
|
| MP-MVS |  | | 99.33 77 | 99.15 92 | 99.87 21 | 99.88 13 | 99.82 28 | 99.66 83 | 99.46 240 | 98.09 198 | 99.48 186 | 99.74 201 | 98.29 99 | 99.96 41 | 97.93 282 | 99.87 78 | 99.82 72 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| NormalMVS | | | 99.27 88 | 99.19 87 | 99.52 141 | 99.89 8 | 98.83 229 | 99.65 89 | 99.52 133 | 99.10 48 | 99.84 55 | 99.76 190 | 95.80 219 | 99.99 4 | 99.30 89 | 99.84 101 | 99.74 118 |
|
| SymmetryMVS | | | 99.15 114 | 99.02 126 | 99.52 141 | 99.72 111 | 98.83 229 | 99.65 89 | 99.34 317 | 99.10 48 | 99.84 55 | 99.76 190 | 95.80 219 | 99.99 4 | 99.30 89 | 98.72 264 | 99.73 128 |
|
| Elysia | | | 98.88 179 | 98.65 201 | 99.58 117 | 99.58 199 | 99.34 128 | 99.65 89 | 99.52 133 | 98.26 156 | 99.83 64 | 99.87 70 | 93.37 332 | 99.90 148 | 97.81 295 | 99.91 45 | 99.49 241 |
|
| StellarMVS | | | 98.88 179 | 98.65 201 | 99.58 117 | 99.58 199 | 99.34 128 | 99.65 89 | 99.52 133 | 98.26 156 | 99.83 64 | 99.87 70 | 93.37 332 | 99.90 148 | 97.81 295 | 99.91 45 | 99.49 241 |
|
| test_cas_vis1_n_1920 | | | 99.16 110 | 99.01 133 | 99.61 110 | 99.81 57 | 98.86 223 | 99.65 89 | 99.64 42 | 99.39 22 | 99.97 25 | 99.94 6 | 93.20 338 | 99.98 20 | 99.55 50 | 99.91 45 | 99.99 1 |
|
| region2R | | | 99.48 37 | 99.35 47 | 99.87 21 | 99.88 13 | 99.80 38 | 99.65 89 | 99.66 32 | 98.13 184 | 99.66 130 | 99.68 237 | 98.96 27 | 99.96 41 | 98.62 202 | 99.87 78 | 99.84 53 |
|
| TranMVSNet+NR-MVSNet | | | 97.93 291 | 97.66 304 | 98.76 296 | 98.78 409 | 98.62 252 | 99.65 89 | 99.49 193 | 97.76 253 | 98.49 381 | 99.60 274 | 94.23 305 | 98.97 439 | 98.00 278 | 92.90 444 | 98.70 353 |
|
| GDP-MVS | | | 99.08 148 | 98.89 164 | 99.64 102 | 99.53 221 | 99.34 128 | 99.64 96 | 99.48 205 | 98.32 148 | 99.77 85 | 99.66 248 | 95.14 249 | 99.93 109 | 98.97 145 | 99.50 176 | 99.64 184 |
|
| ttmdpeth | | | 97.80 318 | 97.63 309 | 98.29 354 | 98.77 414 | 97.38 329 | 99.64 96 | 99.36 305 | 98.78 99 | 96.30 453 | 99.58 280 | 92.34 367 | 99.39 349 | 98.36 242 | 95.58 398 | 98.10 451 |
|
| mvsany_test3 | | | 93.77 440 | 93.45 443 | 94.74 456 | 95.78 482 | 88.01 482 | 99.64 96 | 98.25 462 | 98.28 151 | 94.31 470 | 97.97 463 | 68.89 489 | 98.51 459 | 97.50 331 | 90.37 460 | 97.71 468 |
|
| ZNCC-MVS | | | 99.47 40 | 99.33 51 | 99.87 21 | 99.87 20 | 99.81 33 | 99.64 96 | 99.67 27 | 98.08 202 | 99.55 174 | 99.64 256 | 98.91 39 | 99.96 41 | 98.72 188 | 99.90 56 | 99.82 72 |
|
| tfpnnormal | | | 97.84 308 | 97.47 327 | 98.98 247 | 99.20 329 | 99.22 150 | 99.64 96 | 99.61 60 | 96.32 388 | 98.27 400 | 99.70 218 | 93.35 334 | 99.44 341 | 95.69 414 | 95.40 403 | 98.27 441 |
|
| casdiffmvs_mvg |  | | 99.15 114 | 99.02 126 | 99.55 125 | 99.66 149 | 99.09 167 | 99.64 96 | 99.56 89 | 98.26 156 | 99.45 190 | 99.87 70 | 96.03 204 | 99.81 235 | 99.54 51 | 99.15 208 | 99.73 128 |
| 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 59 | 99.85 43 | 99.76 82 | 99.82 28 | 99.63 102 | 99.52 133 | 98.38 138 | 99.76 91 | 99.82 120 | 98.53 83 | 99.95 76 | 98.61 205 | 99.81 120 | 99.77 100 |
|
| RE-MVS-def | | | | 99.34 49 | | 99.76 82 | 99.82 28 | 99.63 102 | 99.52 133 | 98.38 138 | 99.76 91 | 99.82 120 | 98.75 61 | | 98.61 205 | 99.81 120 | 99.77 100 |
|
| TSAR-MVS + MP. | | | 99.58 16 | 99.50 19 | 99.81 60 | 99.91 1 | 99.66 71 | 99.63 102 | 99.39 286 | 98.91 83 | 99.78 81 | 99.85 86 | 99.36 2 | 99.94 92 | 98.84 170 | 99.88 75 | 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 | | | 96.22 397 | 96.03 398 | 96.79 444 | 97.31 463 | 94.14 456 | 99.63 102 | 99.08 388 | 96.17 400 | 97.04 444 | 99.06 403 | 93.94 318 | 97.76 474 | 86.96 484 | 95.06 410 | 98.47 425 |
|
| APD-MVS_3200maxsize | | | 99.48 37 | 99.35 47 | 99.85 43 | 99.76 82 | 99.83 22 | 99.63 102 | 99.54 108 | 98.36 142 | 99.79 76 | 99.82 120 | 98.86 43 | 99.95 76 | 98.62 202 | 99.81 120 | 99.78 98 |
|
| test0726 | | | | | | 99.85 31 | 99.89 6 | 99.62 107 | 99.50 180 | 99.10 48 | 99.86 52 | 99.82 120 | 98.94 34 | | | | |
|
| EPNet | | | 98.86 185 | 98.71 192 | 99.30 206 | 97.20 465 | 98.18 285 | 99.62 107 | 98.91 415 | 99.28 31 | 98.63 368 | 99.81 135 | 95.96 207 | 99.99 4 | 99.24 104 | 99.72 148 | 99.73 128 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| 114514_t | | | 98.93 175 | 98.67 196 | 99.72 86 | 99.85 31 | 99.53 102 | 99.62 107 | 99.59 72 | 92.65 460 | 99.71 112 | 99.78 177 | 98.06 110 | 99.90 148 | 98.84 170 | 99.91 45 | 99.74 118 |
|
| HY-MVS | | 97.30 7 | 98.85 194 | 98.64 203 | 99.47 168 | 99.42 264 | 99.08 170 | 99.62 107 | 99.36 305 | 97.39 301 | 99.28 241 | 99.68 237 | 96.44 183 | 99.92 123 | 98.37 240 | 98.22 297 | 99.40 268 |
|
| ACMMP |  | | 99.45 46 | 99.32 53 | 99.82 57 | 99.89 8 | 99.67 68 | 99.62 107 | 99.69 22 | 98.12 192 | 99.63 148 | 99.84 101 | 98.73 67 | 99.96 41 | 98.55 220 | 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 82 | 99.19 87 | 99.64 102 | 99.82 53 | 99.23 149 | 99.62 107 | 99.55 99 | 98.94 79 | 99.63 148 | 99.95 3 | 95.82 217 | 99.94 92 | 99.37 75 | 99.97 9 | 99.73 128 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| casdiffseed414692147 | | | 98.97 172 | 98.78 183 | 99.53 134 | 99.66 149 | 99.16 156 | 99.61 113 | 99.52 133 | 98.01 223 | 99.21 262 | 99.88 56 | 94.82 264 | 99.70 290 | 99.29 95 | 99.04 236 | 99.74 118 |
|
| EI-MVSNet-Vis-set | | | 99.58 16 | 99.56 12 | 99.64 102 | 99.78 70 | 99.15 161 | 99.61 113 | 99.45 251 | 99.01 64 | 99.89 39 | 99.82 120 | 99.01 20 | 99.92 123 | 99.56 49 | 99.95 22 | 99.85 46 |
|
| E5new | | | 99.14 122 | 99.02 126 | 99.50 151 | 99.69 127 | 98.91 206 | 99.60 115 | 99.53 124 | 98.13 184 | 99.72 102 | 99.91 26 | 96.26 195 | 99.84 199 | 99.30 89 | 99.10 226 | 99.76 107 |
|
| E6new | | | 99.15 114 | 99.03 116 | 99.50 151 | 99.66 149 | 98.90 211 | 99.60 115 | 99.53 124 | 98.13 184 | 99.72 102 | 99.91 26 | 96.31 190 | 99.84 199 | 99.30 89 | 99.10 226 | 99.76 107 |
|
| E6 | | | 99.15 114 | 99.03 116 | 99.50 151 | 99.66 149 | 98.90 211 | 99.60 115 | 99.53 124 | 98.13 184 | 99.72 102 | 99.91 26 | 96.31 190 | 99.84 199 | 99.30 89 | 99.10 226 | 99.76 107 |
|
| E5 | | | 99.14 122 | 99.02 126 | 99.50 151 | 99.69 127 | 98.91 206 | 99.60 115 | 99.53 124 | 98.13 184 | 99.72 102 | 99.91 26 | 96.26 195 | 99.84 199 | 99.30 89 | 99.10 226 | 99.76 107 |
|
| reproduce_monomvs | | | 97.89 298 | 97.87 278 | 97.96 385 | 99.51 230 | 95.45 425 | 99.60 115 | 99.25 362 | 99.17 36 | 98.85 335 | 99.49 314 | 89.29 419 | 99.64 311 | 99.35 76 | 96.31 377 | 98.78 332 |
|
| test2506 | | | 96.81 387 | 96.65 383 | 97.29 429 | 99.74 100 | 92.21 474 | 99.60 115 | 85.06 506 | 99.13 41 | 99.77 85 | 99.93 10 | 87.82 441 | 99.85 190 | 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 | 99.60 115 | 99.48 205 | 99.08 56 | 99.91 30 | 99.81 135 | 99.20 9 | 99.96 41 | 98.91 154 | 99.85 93 | 99.79 92 |
|
| OPU-MVS | | | | | 99.64 102 | 99.56 209 | 99.72 56 | 99.60 115 | | | | 99.70 218 | 99.27 7 | 99.42 347 | 98.24 253 | 99.80 125 | 99.79 92 |
|
| GST-MVS | | | 99.40 64 | 99.24 77 | 99.85 43 | 99.86 25 | 99.79 41 | 99.60 115 | 99.67 27 | 97.97 226 | 99.63 148 | 99.68 237 | 98.52 84 | 99.95 76 | 98.38 238 | 99.86 86 | 99.81 79 |
|
| EI-MVSNet-UG-set | | | 99.58 16 | 99.57 10 | 99.64 102 | 99.78 70 | 99.14 162 | 99.60 115 | 99.45 251 | 99.01 64 | 99.90 33 | 99.83 107 | 98.98 26 | 99.93 109 | 99.59 45 | 99.95 22 | 99.86 42 |
|
| ACMH | | 97.28 8 | 98.10 261 | 97.99 263 | 98.44 339 | 99.41 269 | 96.96 361 | 99.60 115 | 99.56 89 | 98.09 198 | 98.15 408 | 99.91 26 | 90.87 400 | 99.70 290 | 98.88 157 | 97.45 344 | 98.67 370 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| VortexMVS | | | 98.67 215 | 98.66 199 | 98.68 305 | 99.62 178 | 97.96 301 | 99.59 126 | 99.41 276 | 98.13 184 | 99.31 233 | 99.70 218 | 95.48 233 | 99.27 374 | 99.40 71 | 97.32 353 | 98.79 330 |
|
| guyue | | | 99.16 110 | 99.04 113 | 99.52 141 | 99.69 127 | 98.92 205 | 99.59 126 | 98.81 429 | 98.73 103 | 99.90 33 | 99.87 70 | 95.34 238 | 99.88 168 | 99.66 40 | 99.81 120 | 99.74 118 |
|
| ECVR-MVS |  | | 98.04 274 | 98.05 257 | 98.00 380 | 99.74 100 | 94.37 453 | 99.59 126 | 94.98 494 | 99.13 41 | 99.66 130 | 99.93 10 | 90.67 402 | 99.84 199 | 99.40 71 | 99.38 183 | 99.80 88 |
|
| SR-MVS | | | 99.43 53 | 99.29 65 | 99.86 34 | 99.75 92 | 99.83 22 | 99.59 126 | 99.62 51 | 98.21 169 | 99.73 97 | 99.79 170 | 98.68 71 | 99.96 41 | 98.44 231 | 99.77 137 | 99.79 92 |
|
| thres100view900 | | | 97.76 322 | 97.45 330 | 98.69 304 | 99.72 111 | 97.86 310 | 99.59 126 | 98.74 439 | 97.93 229 | 99.26 252 | 98.62 437 | 91.75 376 | 99.83 221 | 93.22 452 | 98.18 302 | 98.37 437 |
|
| thres600view7 | | | 97.86 303 | 97.51 321 | 98.92 258 | 99.72 111 | 97.95 304 | 99.59 126 | 98.74 439 | 97.94 228 | 99.27 247 | 98.62 437 | 91.75 376 | 99.86 182 | 93.73 446 | 98.19 301 | 98.96 322 |
|
| LCM-MVSNet-Re | | | 97.83 311 | 98.15 243 | 96.87 442 | 99.30 302 | 92.25 473 | 99.59 126 | 98.26 461 | 97.43 296 | 96.20 454 | 99.13 396 | 96.27 193 | 98.73 454 | 98.17 259 | 98.99 241 | 99.64 184 |
|
| baseline1 | | | 98.31 241 | 97.95 268 | 99.38 189 | 99.50 242 | 98.74 239 | 99.59 126 | 98.93 407 | 98.41 136 | 99.14 277 | 99.60 274 | 94.59 287 | 99.79 248 | 98.48 224 | 93.29 439 | 99.61 194 |
|
| SteuartSystems-ACMMP | | | 99.54 24 | 99.42 32 | 99.87 21 | 99.82 53 | 99.81 33 | 99.59 126 | 99.51 156 | 98.62 113 | 99.79 76 | 99.83 107 | 99.28 6 | 99.97 29 | 98.48 224 | 99.90 56 | 99.84 53 |
| Skip Steuart: Steuart Systems R&D Blog. |
| CPTT-MVS | | | 99.11 140 | 98.90 160 | 99.74 80 | 99.80 63 | 99.46 115 | 99.59 126 | 99.49 193 | 97.03 336 | 99.63 148 | 99.69 229 | 97.27 133 | 99.96 41 | 97.82 293 | 99.84 101 | 99.81 79 |
|
| IMVS_0403 | | | 98.86 185 | 98.89 164 | 98.78 294 | 99.55 213 | 96.93 362 | 99.58 136 | 99.44 260 | 98.05 210 | 99.68 119 | 99.80 153 | 96.81 161 | 99.80 242 | 98.15 262 | 98.92 246 | 99.60 197 |
|
| test_fmvsmvis_n_1920 | | | 99.65 8 | 99.61 7 | 99.77 74 | 99.38 280 | 99.37 124 | 99.58 136 | 99.62 51 | 99.41 21 | 99.87 48 | 99.92 18 | 98.81 50 | 100.00 1 | 99.97 2 | 99.93 32 | 99.94 17 |
|
| dmvs_testset | | | 95.02 426 | 96.12 395 | 91.72 467 | 99.10 356 | 80.43 495 | 99.58 136 | 97.87 471 | 97.47 288 | 95.22 461 | 98.82 428 | 93.99 316 | 95.18 492 | 88.09 478 | 94.91 415 | 99.56 218 |
|
| test_fmvsm_n_1920 | | | 99.69 5 | 99.66 4 | 99.78 71 | 99.84 38 | 99.44 117 | 99.58 136 | 99.69 22 | 99.43 17 | 99.98 13 | 99.91 26 | 98.62 77 | 100.00 1 | 99.97 2 | 99.95 22 | 99.90 25 |
|
| test1111 | | | 98.04 274 | 98.11 248 | 97.83 402 | 99.74 100 | 93.82 458 | 99.58 136 | 95.40 493 | 99.12 46 | 99.65 140 | 99.93 10 | 90.73 401 | 99.84 199 | 99.43 69 | 99.38 183 | 99.82 72 |
|
| PGM-MVS | | | 99.45 46 | 99.31 59 | 99.86 34 | 99.87 20 | 99.78 47 | 99.58 136 | 99.65 39 | 97.84 242 | 99.71 112 | 99.80 153 | 99.12 15 | 99.97 29 | 98.33 245 | 99.87 78 | 99.83 63 |
|
| LPG-MVS_test | | | 98.22 247 | 98.13 246 | 98.49 326 | 99.33 293 | 97.05 348 | 99.58 136 | 99.55 99 | 97.46 289 | 99.24 254 | 99.83 107 | 92.58 356 | 99.72 277 | 98.09 267 | 97.51 337 | 98.68 362 |
|
| PHI-MVS | | | 99.30 82 | 99.17 90 | 99.70 87 | 99.56 209 | 99.52 106 | 99.58 136 | 99.80 11 | 97.12 324 | 99.62 152 | 99.73 207 | 98.58 79 | 99.90 148 | 98.61 205 | 99.91 45 | 99.68 161 |
|
| fmvsm_s_conf0.5_n_11 | | | 99.32 78 | 99.16 91 | 99.80 64 | 99.83 47 | 99.70 60 | 99.57 144 | 99.56 89 | 99.45 11 | 99.99 2 | 99.93 10 | 94.18 309 | 99.99 4 | 99.96 13 | 99.98 4 | 99.73 128 |
|
| AstraMVS | | | 99.09 146 | 99.03 116 | 99.25 216 | 99.66 149 | 98.13 289 | 99.57 144 | 98.24 463 | 98.82 90 | 99.91 30 | 99.88 56 | 95.81 218 | 99.90 148 | 99.72 32 | 99.67 158 | 99.74 118 |
|
| SF-MVS | | | 99.38 67 | 99.24 77 | 99.79 68 | 99.79 68 | 99.68 64 | 99.57 144 | 99.54 108 | 97.82 248 | 99.71 112 | 99.80 153 | 98.95 32 | 99.93 109 | 98.19 256 | 99.84 101 | 99.74 118 |
|
| DVP-MVS |  | | 99.57 20 | 99.47 24 | 99.88 15 | 99.85 31 | 99.89 6 | 99.57 144 | 99.37 303 | 99.10 48 | 99.81 69 | 99.80 153 | 98.94 34 | 99.96 41 | 98.93 151 | 99.86 86 | 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 | 99.57 144 | 99.51 156 | | | | | 99.96 41 | 98.93 151 | 99.86 86 | 99.88 35 |
|
| Effi-MVS+-dtu | | | 98.78 203 | 98.89 164 | 98.47 333 | 99.33 293 | 96.91 367 | 99.57 144 | 99.30 344 | 98.47 128 | 99.41 206 | 98.99 414 | 96.78 163 | 99.74 267 | 98.73 187 | 99.38 183 | 98.74 344 |
|
| v2v482 | | | 98.06 268 | 97.77 290 | 98.92 258 | 98.90 391 | 98.82 232 | 99.57 144 | 99.36 305 | 96.65 362 | 99.19 269 | 99.35 358 | 94.20 306 | 99.25 378 | 97.72 308 | 94.97 412 | 98.69 357 |
|
| DSMNet-mixed | | | 97.25 374 | 97.35 347 | 96.95 439 | 97.84 452 | 93.61 465 | 99.57 144 | 96.63 488 | 96.13 405 | 98.87 328 | 98.61 439 | 94.59 287 | 97.70 475 | 95.08 428 | 98.86 254 | 99.55 219 |
|
| FE-MVSNET | | | 94.07 439 | 93.36 444 | 96.22 450 | 94.05 492 | 94.71 445 | 99.56 152 | 98.36 459 | 93.15 454 | 93.76 475 | 97.55 472 | 86.47 452 | 96.49 487 | 87.48 481 | 89.83 465 | 97.48 476 |
|
| reproduce_model | | | 99.63 9 | 99.54 13 | 99.90 8 | 99.78 70 | 99.88 10 | 99.56 152 | 99.55 99 | 99.15 38 | 99.90 33 | 99.90 36 | 99.00 24 | 99.97 29 | 99.11 123 | 99.91 45 | 99.86 42 |
|
| MVStest1 | | | 96.08 403 | 95.48 408 | 97.89 391 | 98.93 386 | 96.70 375 | 99.56 152 | 99.35 312 | 92.69 459 | 91.81 484 | 99.46 327 | 89.90 412 | 98.96 441 | 95.00 430 | 92.61 449 | 98.00 460 |
|
| fmvsm_l_conf0.5_n_a | | | 99.71 2 | 99.67 1 | 99.85 43 | 99.86 25 | 99.61 86 | 99.56 152 | 99.63 46 | 99.48 3 | 99.98 13 | 99.83 107 | 98.75 61 | 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 | 99.56 152 | 99.63 46 | 99.47 4 | 99.98 13 | 99.82 120 | 98.75 61 | 99.99 4 | 99.97 2 | 99.97 9 | 99.94 17 |
|
| sd_testset | | | 98.75 208 | 98.57 216 | 99.29 209 | 99.81 57 | 98.26 282 | 99.56 152 | 99.62 51 | 98.78 99 | 99.64 145 | 99.88 56 | 92.02 370 | 99.88 168 | 99.54 51 | 98.26 294 | 99.72 138 |
|
| KD-MVS_self_test | | | 95.00 427 | 94.34 430 | 96.96 438 | 97.07 468 | 95.39 428 | 99.56 152 | 99.44 260 | 95.11 423 | 97.13 442 | 97.32 478 | 91.86 374 | 97.27 480 | 90.35 470 | 81.23 484 | 98.23 445 |
|
| ETV-MVS | | | 99.26 91 | 99.21 83 | 99.40 183 | 99.46 254 | 99.30 139 | 99.56 152 | 99.52 133 | 98.52 123 | 99.44 195 | 99.27 380 | 98.41 93 | 99.86 182 | 99.10 126 | 99.59 168 | 99.04 310 |
|
| SMA-MVS |  | | 99.44 50 | 99.30 61 | 99.85 43 | 99.73 107 | 99.83 22 | 99.56 152 | 99.47 227 | 97.45 292 | 99.78 81 | 99.82 120 | 99.18 12 | 99.91 135 | 98.79 181 | 99.89 67 | 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 | | | 98.87 182 | 98.72 190 | 99.31 201 | 99.86 25 | 98.48 271 | 99.56 152 | 99.61 60 | 97.85 239 | 99.36 223 | 99.85 86 | 95.95 208 | 99.85 190 | 96.66 390 | 99.83 113 | 99.59 208 |
|
| casdiffmvs |  | | 99.13 126 | 98.98 140 | 99.56 123 | 99.65 160 | 99.16 156 | 99.56 152 | 99.50 180 | 98.33 146 | 99.41 206 | 99.86 79 | 95.92 211 | 99.83 221 | 99.45 68 | 99.16 205 | 99.70 152 |
| 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 | | | 98.38 236 | 98.09 252 | 99.24 219 | 99.26 314 | 99.32 132 | 99.56 152 | 99.55 99 | 97.45 292 | 98.71 350 | 99.83 107 | 93.23 335 | 99.63 317 | 98.88 157 | 96.32 376 | 98.76 338 |
|
| ACMH+ | | 97.24 10 | 97.92 294 | 97.78 288 | 98.32 351 | 99.46 254 | 96.68 379 | 99.56 152 | 99.54 108 | 98.41 136 | 97.79 426 | 99.87 70 | 90.18 410 | 99.66 302 | 98.05 275 | 97.18 359 | 98.62 392 |
|
| ACMM | | 97.58 5 | 98.37 238 | 98.34 231 | 98.48 328 | 99.41 269 | 97.10 342 | 99.56 152 | 99.45 251 | 98.53 122 | 99.04 299 | 99.85 86 | 93.00 340 | 99.71 283 | 98.74 185 | 97.45 344 | 98.64 383 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| LS3D | | | 99.27 88 | 99.12 96 | 99.74 80 | 99.18 335 | 99.75 51 | 99.56 152 | 99.57 84 | 98.45 131 | 99.49 185 | 99.85 86 | 97.77 118 | 99.94 92 | 98.33 245 | 99.84 101 | 99.52 227 |
|
| testing3-2 | | | 97.84 308 | 97.70 300 | 98.24 361 | 99.53 221 | 95.37 429 | 99.55 167 | 98.67 450 | 98.46 129 | 99.27 247 | 99.34 362 | 86.58 450 | 99.83 221 | 99.32 84 | 98.63 267 | 99.52 227 |
|
| test_fmvsmconf0.01_n | | | 99.22 99 | 99.03 116 | 99.79 68 | 98.42 444 | 99.48 112 | 99.55 167 | 99.51 156 | 99.39 22 | 99.78 81 | 99.93 10 | 94.80 267 | 99.95 76 | 99.93 23 | 99.95 22 | 99.94 17 |
|
| test_fmvs1 | | | 98.88 179 | 98.79 182 | 99.16 227 | 99.69 127 | 97.61 322 | 99.55 167 | 99.49 193 | 99.32 29 | 99.98 13 | 99.91 26 | 91.41 388 | 99.96 41 | 99.82 29 | 99.92 38 | 99.90 25 |
|
| v144192 | | | 97.92 294 | 97.60 312 | 98.87 277 | 98.83 403 | 98.65 247 | 99.55 167 | 99.34 317 | 96.20 397 | 99.32 232 | 99.40 342 | 94.36 299 | 99.26 377 | 96.37 401 | 95.03 411 | 98.70 353 |
|
| API-MVS | | | 99.04 158 | 99.03 116 | 99.06 237 | 99.40 274 | 99.31 136 | 99.55 167 | 99.56 89 | 98.54 121 | 99.33 231 | 99.39 346 | 98.76 58 | 99.78 254 | 96.98 372 | 99.78 134 | 98.07 453 |
|
| fmvsm_l_conf0.5_n_3 | | | 99.61 10 | 99.51 18 | 99.92 1 | 99.84 38 | 99.82 28 | 99.54 172 | 99.66 32 | 99.46 7 | 99.98 13 | 99.89 45 | 97.27 133 | 99.99 4 | 99.97 2 | 99.95 22 | 99.95 11 |
|
| fmvsm_s_conf0.1_n_a | | | 99.26 91 | 99.06 109 | 99.85 43 | 99.52 227 | 99.62 83 | 99.54 172 | 99.62 51 | 98.69 108 | 99.99 2 | 99.96 1 | 94.47 296 | 99.94 92 | 99.88 26 | 99.92 38 | 99.98 2 |
|
| APD_test1 | | | 95.87 405 | 96.49 387 | 94.00 458 | 99.53 221 | 84.01 487 | 99.54 172 | 99.32 335 | 95.91 413 | 97.99 415 | 99.85 86 | 85.49 460 | 99.88 168 | 91.96 463 | 98.84 256 | 98.12 450 |
|
| thisisatest0530 | | | 98.35 239 | 98.03 259 | 99.31 201 | 99.63 169 | 98.56 257 | 99.54 172 | 96.75 486 | 97.53 283 | 99.73 97 | 99.65 250 | 91.25 393 | 99.89 163 | 98.62 202 | 99.56 170 | 99.48 244 |
|
| MTMP | | | | | | | | 99.54 172 | 98.88 420 | | | | | | | | |
|
| v1144 | | | 97.98 285 | 97.69 301 | 98.85 283 | 98.87 396 | 98.66 246 | 99.54 172 | 99.35 312 | 96.27 392 | 99.23 258 | 99.35 358 | 94.67 282 | 99.23 381 | 96.73 385 | 95.16 408 | 98.68 362 |
|
| v148 | | | 97.79 320 | 97.55 314 | 98.50 325 | 98.74 417 | 97.72 315 | 99.54 172 | 99.33 325 | 96.26 393 | 98.90 322 | 99.51 308 | 94.68 281 | 99.14 400 | 97.83 292 | 93.15 443 | 98.63 390 |
|
| CostFormer | | | 97.72 332 | 97.73 297 | 97.71 412 | 99.15 349 | 94.02 457 | 99.54 172 | 99.02 398 | 94.67 435 | 99.04 299 | 99.35 358 | 92.35 366 | 99.77 257 | 98.50 223 | 97.94 312 | 99.34 278 |
|
| MVSTER | | | 98.49 224 | 98.32 233 | 99.00 245 | 99.35 287 | 99.02 177 | 99.54 172 | 99.38 294 | 97.41 299 | 99.20 266 | 99.73 207 | 93.86 323 | 99.36 358 | 98.87 160 | 97.56 332 | 98.62 392 |
|
| fmvsm_s_conf0.5_n_10 | | | 99.41 59 | 99.24 77 | 99.92 1 | 99.83 47 | 99.84 20 | 99.53 181 | 99.56 89 | 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 84 | 99.10 98 | 99.86 34 | 99.70 122 | 99.65 75 | 99.53 181 | 99.62 51 | 98.74 102 | 99.99 2 | 99.95 3 | 94.53 294 | 99.94 92 | 99.89 25 | 99.96 17 | 99.97 4 |
|
| E4 | | | 99.13 126 | 99.01 133 | 99.49 158 | 99.68 134 | 98.90 211 | 99.52 183 | 99.52 133 | 98.13 184 | 99.71 112 | 99.90 36 | 96.32 188 | 99.84 199 | 99.21 107 | 99.11 219 | 99.75 113 |
|
| reproduce-ours | | | 99.61 10 | 99.52 14 | 99.90 8 | 99.76 82 | 99.88 10 | 99.52 183 | 99.54 108 | 99.13 41 | 99.89 39 | 99.89 45 | 98.96 27 | 99.96 41 | 99.04 133 | 99.90 56 | 99.85 46 |
|
| our_new_method | | | 99.61 10 | 99.52 14 | 99.90 8 | 99.76 82 | 99.88 10 | 99.52 183 | 99.54 108 | 99.13 41 | 99.89 39 | 99.89 45 | 98.96 27 | 99.96 41 | 99.04 133 | 99.90 56 | 99.85 46 |
|
| fmvsm_s_conf0.5_n_a | | | 99.56 21 | 99.47 24 | 99.85 43 | 99.83 47 | 99.64 81 | 99.52 183 | 99.65 39 | 99.10 48 | 99.98 13 | 99.92 18 | 97.35 129 | 99.96 41 | 99.94 21 | 99.92 38 | 99.95 11 |
|
| MM | | | 99.40 64 | 99.28 68 | 99.74 80 | 99.67 137 | 99.31 136 | 99.52 183 | 98.87 422 | 99.55 1 | 99.74 95 | 99.80 153 | 96.47 180 | 99.98 20 | 99.97 2 | 99.97 9 | 99.94 17 |
|
| patch_mono-2 | | | 99.26 91 | 99.62 6 | 98.16 366 | 99.81 57 | 94.59 449 | 99.52 183 | 99.64 42 | 99.33 28 | 99.73 97 | 99.90 36 | 99.00 24 | 99.99 4 | 99.69 34 | 99.98 4 | 99.89 29 |
|
| Fast-Effi-MVS+-dtu | | | 98.77 207 | 98.83 178 | 98.60 310 | 99.41 269 | 96.99 357 | 99.52 183 | 99.49 193 | 98.11 194 | 99.24 254 | 99.34 362 | 96.96 152 | 99.79 248 | 97.95 281 | 99.45 179 | 99.02 313 |
|
| Fast-Effi-MVS+ | | | 98.70 212 | 98.43 225 | 99.51 146 | 99.51 230 | 99.28 142 | 99.52 183 | 99.47 227 | 96.11 406 | 99.01 302 | 99.34 362 | 96.20 197 | 99.84 199 | 97.88 285 | 98.82 258 | 99.39 269 |
|
| v1921920 | | | 97.80 318 | 97.45 330 | 98.84 284 | 98.80 405 | 98.53 260 | 99.52 183 | 99.34 317 | 96.15 403 | 99.24 254 | 99.47 323 | 93.98 317 | 99.29 370 | 95.40 422 | 95.13 409 | 98.69 357 |
|
| MIMVSNet1 | | | 95.51 413 | 95.04 416 | 96.92 441 | 97.38 460 | 95.60 417 | 99.52 183 | 99.50 180 | 93.65 446 | 96.97 446 | 99.17 391 | 85.28 463 | 96.56 486 | 88.36 477 | 95.55 400 | 98.60 404 |
|
| FE-MVSNET2 | | | 95.10 424 | 94.44 428 | 97.08 435 | 95.08 488 | 95.97 402 | 99.51 193 | 99.37 303 | 95.02 427 | 94.10 471 | 97.57 471 | 86.18 454 | 97.66 477 | 93.28 451 | 89.86 464 | 97.61 471 |
|
| viewmacassd2359aftdt | | | 99.08 148 | 98.94 152 | 99.50 151 | 99.66 149 | 98.96 189 | 99.51 193 | 99.54 108 | 98.27 153 | 99.42 201 | 99.89 45 | 95.88 215 | 99.80 242 | 99.20 108 | 99.11 219 | 99.76 107 |
|
| SSM_0407 | | | 99.13 126 | 99.03 116 | 99.43 179 | 99.62 178 | 98.88 216 | 99.51 193 | 99.50 180 | 98.14 181 | 99.37 217 | 99.85 86 | 96.85 155 | 99.83 221 | 99.19 109 | 99.25 197 | 99.60 197 |
|
| fmvsm_s_conf0.5_n_8 | | | 99.54 24 | 99.42 32 | 99.89 11 | 99.83 47 | 99.74 54 | 99.51 193 | 99.62 51 | 99.46 7 | 99.99 2 | 99.90 36 | 96.60 172 | 99.98 20 | 99.95 16 | 99.95 22 | 99.96 7 |
|
| fmvsm_s_conf0.5_n | | | 99.51 29 | 99.40 37 | 99.85 43 | 99.84 38 | 99.65 75 | 99.51 193 | 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 | | | 97.32 371 | 96.81 379 | 98.87 277 | 99.40 274 | 97.46 326 | 99.51 193 | 99.53 124 | 95.86 414 | 98.54 378 | 99.77 186 | 82.44 476 | 99.66 302 | 98.68 195 | 97.52 336 | 99.50 240 |
|
| alignmvs | | | 98.81 198 | 98.56 218 | 99.58 117 | 99.43 262 | 99.42 119 | 99.51 193 | 98.96 405 | 98.61 114 | 99.35 226 | 98.92 424 | 94.78 269 | 99.77 257 | 99.35 76 | 98.11 307 | 99.54 221 |
|
| v1192 | | | 97.81 316 | 97.44 335 | 98.91 262 | 98.88 393 | 98.68 244 | 99.51 193 | 99.34 317 | 96.18 399 | 99.20 266 | 99.34 362 | 94.03 315 | 99.36 358 | 95.32 424 | 95.18 407 | 98.69 357 |
|
| test20.03 | | | 96.12 401 | 95.96 400 | 96.63 445 | 97.44 458 | 95.45 425 | 99.51 193 | 99.38 294 | 96.55 373 | 96.16 455 | 99.25 383 | 93.76 327 | 96.17 488 | 87.35 483 | 94.22 425 | 98.27 441 |
|
| mvs_anonymous | | | 99.03 160 | 98.99 137 | 99.16 227 | 99.38 280 | 98.52 264 | 99.51 193 | 99.38 294 | 97.79 249 | 99.38 215 | 99.81 135 | 97.30 131 | 99.45 336 | 99.35 76 | 98.99 241 | 99.51 236 |
|
| TAMVS | | | 99.12 134 | 99.08 104 | 99.24 219 | 99.46 254 | 98.55 258 | 99.51 193 | 99.46 240 | 98.09 198 | 99.45 190 | 99.82 120 | 98.34 97 | 99.51 330 | 98.70 190 | 98.93 244 | 99.67 165 |
|
| viewdifsd2359ckpt13 | | | 99.06 153 | 98.93 154 | 99.45 171 | 99.63 169 | 98.96 189 | 99.50 204 | 99.51 156 | 97.83 243 | 99.28 241 | 99.80 153 | 96.68 169 | 99.71 283 | 99.05 132 | 99.12 217 | 99.68 161 |
|
| viewdifsd2359ckpt11 | | | 98.78 203 | 98.74 188 | 98.89 268 | 99.67 137 | 97.04 351 | 99.50 204 | 99.58 77 | 98.26 156 | 99.56 168 | 99.90 36 | 94.36 299 | 99.87 175 | 99.49 61 | 98.32 290 | 99.77 100 |
|
| viewmsd2359difaftdt | | | 98.78 203 | 98.74 188 | 98.90 264 | 99.67 137 | 97.04 351 | 99.50 204 | 99.58 77 | 98.26 156 | 99.56 168 | 99.90 36 | 94.36 299 | 99.87 175 | 99.49 61 | 98.32 290 | 99.77 100 |
|
| IMVS_0407 | | | 98.86 185 | 98.91 158 | 98.72 299 | 99.55 213 | 96.93 362 | 99.50 204 | 99.44 260 | 98.05 210 | 99.66 130 | 99.80 153 | 97.13 139 | 99.65 307 | 98.15 262 | 98.92 246 | 99.60 197 |
|
| viewmanbaseed2359cas | | | 99.18 103 | 99.07 108 | 99.50 151 | 99.62 178 | 99.01 179 | 99.50 204 | 99.52 133 | 98.25 161 | 99.68 119 | 99.82 120 | 96.93 153 | 99.80 242 | 99.15 119 | 99.11 219 | 99.70 152 |
|
| fmvsm_s_conf0.5_n_6 | | | 99.54 24 | 99.44 31 | 99.85 43 | 99.51 230 | 99.67 68 | 99.50 204 | 99.64 42 | 99.43 17 | 99.98 13 | 99.78 177 | 97.26 136 | 99.95 76 | 99.95 16 | 99.93 32 | 99.92 23 |
|
| test_fmvsmconf0.1_n | | | 99.55 23 | 99.45 30 | 99.86 34 | 99.44 261 | 99.65 75 | 99.50 204 | 99.61 60 | 99.45 11 | 99.87 48 | 99.92 18 | 97.31 130 | 99.97 29 | 99.95 16 | 99.99 1 | 99.97 4 |
|
| test_yl | | | 98.86 185 | 98.63 204 | 99.54 126 | 99.49 244 | 99.18 153 | 99.50 204 | 99.07 391 | 98.22 167 | 99.61 157 | 99.51 308 | 95.37 236 | 99.84 199 | 98.60 208 | 98.33 286 | 99.59 208 |
|
| DCV-MVSNet | | | 98.86 185 | 98.63 204 | 99.54 126 | 99.49 244 | 99.18 153 | 99.50 204 | 99.07 391 | 98.22 167 | 99.61 157 | 99.51 308 | 95.37 236 | 99.84 199 | 98.60 208 | 98.33 286 | 99.59 208 |
|
| tfpn200view9 | | | 97.72 332 | 97.38 343 | 98.72 299 | 99.69 127 | 97.96 301 | 99.50 204 | 98.73 445 | 97.83 243 | 99.17 274 | 98.45 444 | 91.67 380 | 99.83 221 | 93.22 452 | 98.18 302 | 98.37 437 |
|
| UA-Net | | | 99.42 55 | 99.29 65 | 99.80 64 | 99.62 178 | 99.55 97 | 99.50 204 | 99.70 18 | 98.79 96 | 99.77 85 | 99.96 1 | 97.45 124 | 99.96 41 | 98.92 153 | 99.90 56 | 99.89 29 |
|
| pm-mvs1 | | | 97.68 340 | 97.28 359 | 98.88 273 | 99.06 365 | 98.62 252 | 99.50 204 | 99.45 251 | 96.32 388 | 97.87 422 | 99.79 170 | 92.47 360 | 99.35 361 | 97.54 326 | 93.54 436 | 98.67 370 |
|
| EI-MVSNet | | | 98.67 215 | 98.67 196 | 98.68 305 | 99.35 287 | 97.97 299 | 99.50 204 | 99.38 294 | 96.93 345 | 99.20 266 | 99.83 107 | 97.87 114 | 99.36 358 | 98.38 238 | 97.56 332 | 98.71 348 |
|
| CVMVSNet | | | 98.57 222 | 98.67 196 | 98.30 353 | 99.35 287 | 95.59 418 | 99.50 204 | 99.55 99 | 98.60 116 | 99.39 213 | 99.83 107 | 94.48 295 | 99.45 336 | 98.75 184 | 98.56 274 | 99.85 46 |
|
| VPA-MVSNet | | | 98.29 244 | 97.95 268 | 99.30 206 | 99.16 345 | 99.54 99 | 99.50 204 | 99.58 77 | 98.27 153 | 99.35 226 | 99.37 352 | 92.53 358 | 99.65 307 | 99.35 76 | 94.46 420 | 98.72 346 |
|
| thres400 | | | 97.77 321 | 97.38 343 | 98.92 258 | 99.69 127 | 97.96 301 | 99.50 204 | 98.73 445 | 97.83 243 | 99.17 274 | 98.45 444 | 91.67 380 | 99.83 221 | 93.22 452 | 98.18 302 | 98.96 322 |
|
| APD-MVS |  | | 99.27 88 | 99.08 104 | 99.84 55 | 99.75 92 | 99.79 41 | 99.50 204 | 99.50 180 | 97.16 320 | 99.77 85 | 99.82 120 | 98.78 54 | 99.94 92 | 97.56 324 | 99.86 86 | 99.80 88 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| E2 | | | 99.15 114 | 99.03 116 | 99.49 158 | 99.65 160 | 98.93 204 | 99.49 221 | 99.52 133 | 98.14 181 | 99.72 102 | 99.88 56 | 96.57 176 | 99.84 199 | 99.17 115 | 99.13 212 | 99.72 138 |
|
| E3 | | | 99.15 114 | 99.03 116 | 99.49 158 | 99.62 178 | 98.91 206 | 99.49 221 | 99.52 133 | 98.13 184 | 99.72 102 | 99.88 56 | 96.61 171 | 99.84 199 | 99.17 115 | 99.13 212 | 99.72 138 |
|
| SSM_0404 | | | 99.16 110 | 99.06 109 | 99.44 176 | 99.65 160 | 98.96 189 | 99.49 221 | 99.50 180 | 98.14 181 | 99.62 152 | 99.85 86 | 96.85 155 | 99.85 190 | 99.19 109 | 99.26 196 | 99.52 227 |
|
| fmvsm_s_conf0.5_n_4 | | | 99.36 72 | 99.24 77 | 99.73 83 | 99.78 70 | 99.53 102 | 99.49 221 | 99.60 67 | 99.42 20 | 99.99 2 | 99.86 79 | 95.15 248 | 99.95 76 | 99.95 16 | 99.89 67 | 99.73 128 |
|
| test_vis1_rt | | | 95.81 407 | 95.65 406 | 96.32 449 | 99.67 137 | 91.35 477 | 99.49 221 | 96.74 487 | 98.25 161 | 95.24 460 | 98.10 460 | 74.96 485 | 99.90 148 | 99.53 53 | 98.85 255 | 97.70 470 |
|
| TransMVSNet (Re) | | | 97.15 378 | 96.58 384 | 98.86 280 | 99.12 351 | 98.85 224 | 99.49 221 | 98.91 415 | 95.48 418 | 97.16 441 | 99.80 153 | 93.38 331 | 99.11 409 | 94.16 442 | 91.73 453 | 98.62 392 |
|
| UniMVSNet (Re) | | | 98.29 244 | 98.00 262 | 99.13 233 | 99.00 375 | 99.36 127 | 99.49 221 | 99.51 156 | 97.95 227 | 98.97 311 | 99.13 396 | 96.30 192 | 99.38 351 | 98.36 242 | 93.34 438 | 98.66 379 |
|
| EPMVS | | | 97.82 314 | 97.65 305 | 98.35 348 | 98.88 393 | 95.98 401 | 99.49 221 | 94.71 496 | 97.57 276 | 99.26 252 | 99.48 320 | 92.46 363 | 99.71 283 | 97.87 287 | 99.08 232 | 99.35 275 |
|
| viewcassd2359sk11 | | | 99.18 103 | 99.08 104 | 99.49 158 | 99.65 160 | 98.95 195 | 99.48 229 | 99.51 156 | 98.10 197 | 99.72 102 | 99.87 70 | 97.13 139 | 99.84 199 | 99.13 120 | 99.14 209 | 99.69 155 |
|
| fmvsm_s_conf0.5_n_9 | | | 99.41 59 | 99.28 68 | 99.81 60 | 99.84 38 | 99.52 106 | 99.48 229 | 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 | | | 97.34 369 | 97.15 366 | 97.93 387 | 99.02 372 | 95.76 413 | 99.48 229 | 99.58 77 | 97.62 271 | 99.09 288 | 99.53 300 | 87.95 437 | 99.27 374 | 96.42 397 | 95.66 396 | 98.75 340 |
|
| fmvsm_s_conf0.5_n_3 | | | 99.37 68 | 99.20 85 | 99.87 21 | 99.75 92 | 99.70 60 | 99.48 229 | 99.66 32 | 99.45 11 | 99.99 2 | 99.93 10 | 94.64 286 | 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 | 99.48 229 | 99.64 42 | 99.45 11 | 99.92 29 | 99.92 18 | 98.62 77 | 99.99 4 | 99.96 13 | 99.99 1 | 99.96 7 |
|
| Anonymous20231211 | | | 97.88 299 | 97.54 317 | 98.90 264 | 99.71 117 | 98.53 260 | 99.48 229 | 99.57 84 | 94.16 440 | 98.81 339 | 99.68 237 | 93.23 335 | 99.42 347 | 98.84 170 | 94.42 422 | 98.76 338 |
|
| v1240 | | | 97.69 337 | 97.32 354 | 98.79 292 | 98.85 400 | 98.43 275 | 99.48 229 | 99.36 305 | 96.11 406 | 99.27 247 | 99.36 355 | 93.76 327 | 99.24 380 | 94.46 436 | 95.23 406 | 98.70 353 |
|
| VPNet | | | 97.84 308 | 97.44 335 | 99.01 243 | 99.21 327 | 98.94 199 | 99.48 229 | 99.57 84 | 98.38 138 | 99.28 241 | 99.73 207 | 88.89 422 | 99.39 349 | 99.19 109 | 93.27 440 | 98.71 348 |
|
| UniMVSNet_NR-MVSNet | | | 98.22 247 | 97.97 265 | 98.96 250 | 98.92 388 | 98.98 182 | 99.48 229 | 99.53 124 | 97.76 253 | 98.71 350 | 99.46 327 | 96.43 184 | 99.22 387 | 98.57 214 | 92.87 446 | 98.69 357 |
|
| TDRefinement | | | 95.42 417 | 94.57 426 | 97.97 383 | 89.83 499 | 96.11 400 | 99.48 229 | 98.75 436 | 96.74 355 | 96.68 449 | 99.88 56 | 88.65 428 | 99.71 283 | 98.37 240 | 82.74 480 | 98.09 452 |
|
| fmvsm_l_conf0.5_n_9 | | | 99.58 16 | 99.47 24 | 99.92 1 | 99.85 31 | 99.82 28 | 99.47 239 | 99.63 46 | 99.45 11 | 99.98 13 | 99.89 45 | 97.02 148 | 99.99 4 | 99.98 1 | 99.96 17 | 99.95 11 |
|
| ACMMP_NAP | | | 99.47 40 | 99.34 49 | 99.88 15 | 99.87 20 | 99.86 18 | 99.47 239 | 99.48 205 | 98.05 210 | 99.76 91 | 99.86 79 | 98.82 49 | 99.93 109 | 98.82 180 | 99.91 45 | 99.84 53 |
|
| NR-MVSNet | | | 97.97 288 | 97.61 311 | 99.02 242 | 98.87 396 | 99.26 145 | 99.47 239 | 99.42 273 | 97.63 269 | 97.08 443 | 99.50 311 | 95.07 251 | 99.13 403 | 97.86 288 | 93.59 435 | 98.68 362 |
|
| PVSNet_Blended_VisFu | | | 99.36 72 | 99.28 68 | 99.61 110 | 99.86 25 | 99.07 172 | 99.47 239 | 99.93 2 | 97.66 267 | 99.71 112 | 99.86 79 | 97.73 119 | 99.96 41 | 99.47 66 | 99.82 117 | 99.79 92 |
|
| E3new | | | 99.18 103 | 99.08 104 | 99.48 162 | 99.63 169 | 98.94 199 | 99.46 243 | 99.50 180 | 98.06 207 | 99.72 102 | 99.84 101 | 97.27 133 | 99.84 199 | 99.10 126 | 99.13 212 | 99.67 165 |
|
| LuminaMVS | | | 99.23 97 | 99.10 98 | 99.61 110 | 99.35 287 | 99.31 136 | 99.46 243 | 99.13 382 | 98.61 114 | 99.86 52 | 99.89 45 | 96.41 186 | 99.91 135 | 99.67 37 | 99.51 174 | 99.63 189 |
|
| fmvsm_s_conf0.1_n_2 | | | 99.37 68 | 99.22 82 | 99.81 60 | 99.77 78 | 99.75 51 | 99.46 243 | 99.60 67 | 99.47 4 | 99.98 13 | 99.94 6 | 94.98 252 | 99.95 76 | 99.97 2 | 99.79 132 | 99.73 128 |
|
| SD-MVS | | | 99.41 59 | 99.52 14 | 99.05 239 | 99.74 100 | 99.68 64 | 99.46 243 | 99.52 133 | 99.11 47 | 99.88 42 | 99.91 26 | 99.43 1 | 97.70 475 | 98.72 188 | 99.93 32 | 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 | | | 99.11 140 | 99.00 136 | 99.43 179 | 99.63 169 | 98.73 240 | 99.45 247 | 99.54 108 | 98.33 146 | 99.62 152 | 99.81 135 | 96.17 198 | 99.87 175 | 99.27 100 | 99.14 209 | 99.69 155 |
|
| testing3 | | | 97.28 372 | 96.76 381 | 98.82 286 | 99.37 283 | 98.07 294 | 99.45 247 | 99.36 305 | 97.56 278 | 97.89 421 | 98.95 419 | 83.70 470 | 98.82 449 | 96.03 405 | 98.56 274 | 99.58 212 |
|
| tt0805 | | | 97.97 288 | 97.77 290 | 98.57 315 | 99.59 197 | 96.61 382 | 99.45 247 | 99.08 388 | 98.21 169 | 98.88 325 | 99.80 153 | 88.66 427 | 99.70 290 | 98.58 211 | 97.72 322 | 99.39 269 |
|
| tpm2 | | | 97.44 364 | 97.34 350 | 97.74 411 | 99.15 349 | 94.36 454 | 99.45 247 | 98.94 406 | 93.45 451 | 98.90 322 | 99.44 330 | 91.35 390 | 99.59 321 | 97.31 347 | 98.07 308 | 99.29 282 |
|
| FMVSNet2 | | | 97.72 332 | 97.36 345 | 98.80 291 | 99.51 230 | 98.84 226 | 99.45 247 | 99.42 273 | 96.49 376 | 98.86 334 | 99.29 375 | 90.26 405 | 98.98 432 | 96.44 396 | 96.56 370 | 98.58 411 |
|
| CDS-MVSNet | | | 99.09 146 | 99.03 116 | 99.25 216 | 99.42 264 | 98.73 240 | 99.45 247 | 99.46 240 | 98.11 194 | 99.46 189 | 99.77 186 | 98.01 112 | 99.37 354 | 98.70 190 | 98.92 246 | 99.66 170 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| MAR-MVS | | | 98.86 185 | 98.63 204 | 99.54 126 | 99.37 283 | 99.66 71 | 99.45 247 | 99.54 108 | 96.61 367 | 99.01 302 | 99.40 342 | 97.09 143 | 99.86 182 | 97.68 314 | 99.53 173 | 99.10 297 |
| 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 | 99.40 183 | 99.62 178 | 98.79 235 | 99.44 254 | 99.51 156 | 97.76 253 | 99.35 226 | 99.69 229 | 96.42 185 | 99.75 264 | 98.97 145 | 99.11 219 | 99.66 170 |
|
| fmvsm_s_conf0.5_n_2 | | | 99.32 78 | 99.13 94 | 99.89 11 | 99.80 63 | 99.77 48 | 99.44 254 | 99.58 77 | 99.47 4 | 99.99 2 | 99.93 10 | 94.04 314 | 99.96 41 | 99.96 13 | 99.93 32 | 99.93 22 |
|
| UGNet | | | 98.87 182 | 98.69 194 | 99.40 183 | 99.22 326 | 98.72 242 | 99.44 254 | 99.68 24 | 99.24 32 | 99.18 273 | 99.42 334 | 92.74 348 | 99.96 41 | 99.34 81 | 99.94 30 | 99.53 226 |
| 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 | | | 98.86 185 | 98.63 204 | 99.54 126 | 99.64 165 | 99.19 151 | 99.44 254 | 99.54 108 | 97.77 252 | 99.30 237 | 99.81 135 | 94.20 306 | 99.93 109 | 99.17 115 | 98.82 258 | 99.49 241 |
|
| test_0402 | | | 96.64 390 | 96.24 392 | 97.85 396 | 98.85 400 | 96.43 388 | 99.44 254 | 99.26 359 | 93.52 448 | 96.98 445 | 99.52 304 | 88.52 431 | 99.20 394 | 92.58 462 | 97.50 339 | 97.93 465 |
|
| ACMP | | 97.20 11 | 98.06 268 | 97.94 270 | 98.45 336 | 99.37 283 | 97.01 355 | 99.44 254 | 99.49 193 | 97.54 282 | 98.45 385 | 99.79 170 | 91.95 372 | 99.72 277 | 97.91 283 | 97.49 342 | 98.62 392 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| GG-mvs-BLEND | | | | | 98.45 336 | 98.55 439 | 98.16 286 | 99.43 260 | 93.68 498 | | 97.23 437 | 98.46 443 | 89.30 418 | 99.22 387 | 95.43 421 | 98.22 297 | 97.98 462 |
|
| HPM-MVS++ |  | | 99.39 66 | 99.23 81 | 99.87 21 | 99.75 92 | 99.84 20 | 99.43 260 | 99.51 156 | 98.68 110 | 99.27 247 | 99.53 300 | 98.64 76 | 99.96 41 | 98.44 231 | 99.80 125 | 99.79 92 |
|
| tpm cat1 | | | 97.39 366 | 97.36 345 | 97.50 423 | 99.17 343 | 93.73 460 | 99.43 260 | 99.31 339 | 91.27 470 | 98.71 350 | 99.08 400 | 94.31 304 | 99.77 257 | 96.41 399 | 98.50 278 | 99.00 314 |
|
| tpm | | | 97.67 343 | 97.55 314 | 98.03 375 | 99.02 372 | 95.01 438 | 99.43 260 | 98.54 456 | 96.44 382 | 99.12 280 | 99.34 362 | 91.83 375 | 99.60 320 | 97.75 304 | 96.46 372 | 99.48 244 |
|
| GBi-Net | | | 97.68 340 | 97.48 324 | 98.29 354 | 99.51 230 | 97.26 335 | 99.43 260 | 99.48 205 | 96.49 376 | 99.07 291 | 99.32 370 | 90.26 405 | 98.98 432 | 97.10 364 | 96.65 367 | 98.62 392 |
|
| test1 | | | 97.68 340 | 97.48 324 | 98.29 354 | 99.51 230 | 97.26 335 | 99.43 260 | 99.48 205 | 96.49 376 | 99.07 291 | 99.32 370 | 90.26 405 | 98.98 432 | 97.10 364 | 96.65 367 | 98.62 392 |
|
| FMVSNet1 | | | 96.84 386 | 96.36 390 | 98.29 354 | 99.32 300 | 97.26 335 | 99.43 260 | 99.48 205 | 95.11 423 | 98.55 377 | 99.32 370 | 83.95 469 | 98.98 432 | 95.81 410 | 96.26 378 | 98.62 392 |
|
| fmvsm_s_conf0.5_n_7 | | | 99.34 75 | 99.29 65 | 99.48 162 | 99.70 122 | 98.63 250 | 99.42 267 | 99.63 46 | 99.46 7 | 99.98 13 | 99.88 56 | 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 83 | 99.86 34 | 99.80 63 | 99.68 64 | 99.42 267 | 99.61 60 | 99.37 24 | 99.97 25 | 99.86 79 | 94.96 253 | 99.99 4 | 99.97 2 | 99.93 32 | 99.92 23 |
|
| testgi | | | 97.65 345 | 97.50 322 | 98.13 370 | 99.36 286 | 96.45 387 | 99.42 267 | 99.48 205 | 97.76 253 | 97.87 422 | 99.45 329 | 91.09 397 | 98.81 450 | 94.53 435 | 98.52 277 | 99.13 296 |
|
| F-COLMAP | | | 99.19 100 | 99.04 113 | 99.64 102 | 99.78 70 | 99.27 144 | 99.42 267 | 99.54 108 | 97.29 309 | 99.41 206 | 99.59 276 | 98.42 92 | 99.93 109 | 98.19 256 | 99.69 153 | 99.73 128 |
|
| Anonymous202405211 | | | 98.30 243 | 97.98 264 | 99.26 215 | 99.57 205 | 98.16 286 | 99.41 271 | 98.55 455 | 96.03 411 | 99.19 269 | 99.74 201 | 91.87 373 | 99.92 123 | 99.16 118 | 98.29 293 | 99.70 152 |
|
| MSLP-MVS++ | | | 99.46 42 | 99.47 24 | 99.44 176 | 99.60 195 | 99.16 156 | 99.41 271 | 99.71 16 | 98.98 72 | 99.45 190 | 99.78 177 | 99.19 11 | 99.54 328 | 99.28 97 | 99.84 101 | 99.63 189 |
|
| VNet | | | 99.11 140 | 98.90 160 | 99.73 83 | 99.52 227 | 99.56 95 | 99.41 271 | 99.39 286 | 99.01 64 | 99.74 95 | 99.78 177 | 95.56 229 | 99.92 123 | 99.52 55 | 98.18 302 | 99.72 138 |
|
| baseline2 | | | 97.87 301 | 97.55 314 | 98.82 286 | 99.18 335 | 98.02 296 | 99.41 271 | 96.58 490 | 96.97 339 | 96.51 450 | 99.17 391 | 93.43 330 | 99.57 323 | 97.71 309 | 99.03 237 | 98.86 326 |
|
| DU-MVS | | | 98.08 266 | 97.79 285 | 98.96 250 | 98.87 396 | 98.98 182 | 99.41 271 | 99.45 251 | 97.87 235 | 98.71 350 | 99.50 311 | 94.82 264 | 99.22 387 | 98.57 214 | 92.87 446 | 98.68 362 |
|
| Baseline_NR-MVSNet | | | 97.76 322 | 97.45 330 | 98.68 305 | 99.09 359 | 98.29 280 | 99.41 271 | 98.85 424 | 95.65 416 | 98.63 368 | 99.67 243 | 94.82 264 | 99.10 412 | 98.07 274 | 92.89 445 | 98.64 383 |
|
| XVG-ACMP-BASELINE | | | 97.83 311 | 97.71 299 | 98.20 363 | 99.11 353 | 96.33 391 | 99.41 271 | 99.52 133 | 98.06 207 | 99.05 298 | 99.50 311 | 89.64 416 | 99.73 273 | 97.73 306 | 97.38 351 | 98.53 417 |
|
| DP-MVS | | | 99.16 110 | 98.95 150 | 99.78 71 | 99.77 78 | 99.53 102 | 99.41 271 | 99.50 180 | 97.03 336 | 99.04 299 | 99.88 56 | 97.39 125 | 99.92 123 | 98.66 197 | 99.90 56 | 99.87 40 |
|
| 9.14 | | | | 99.10 98 | | 99.72 111 | | 99.40 279 | 99.51 156 | 97.53 283 | 99.64 145 | 99.78 177 | 98.84 46 | 99.91 135 | 97.63 315 | 99.82 117 | |
|
| D2MVS | | | 98.41 232 | 98.50 222 | 98.15 369 | 99.26 314 | 96.62 381 | 99.40 279 | 99.61 60 | 97.71 259 | 98.98 309 | 99.36 355 | 96.04 203 | 99.67 299 | 98.70 190 | 97.41 349 | 98.15 449 |
|
| Anonymous20240529 | | | 98.09 262 | 97.68 302 | 99.34 193 | 99.66 149 | 98.44 274 | 99.40 279 | 99.43 271 | 93.67 445 | 99.22 259 | 99.89 45 | 90.23 408 | 99.93 109 | 99.26 103 | 98.33 286 | 99.66 170 |
|
| FMVSNet3 | | | 98.03 276 | 97.76 294 | 98.84 284 | 99.39 277 | 98.98 182 | 99.40 279 | 99.38 294 | 96.67 360 | 99.07 291 | 99.28 377 | 92.93 341 | 98.98 432 | 97.10 364 | 96.65 367 | 98.56 414 |
|
| LFMVS | | | 97.90 297 | 97.35 347 | 99.54 126 | 99.52 227 | 99.01 179 | 99.39 283 | 98.24 463 | 97.10 328 | 99.65 140 | 99.79 170 | 84.79 465 | 99.91 135 | 99.28 97 | 98.38 283 | 99.69 155 |
|
| HQP_MVS | | | 98.27 246 | 98.22 239 | 98.44 339 | 99.29 306 | 96.97 359 | 99.39 283 | 99.47 227 | 98.97 76 | 99.11 282 | 99.61 271 | 92.71 351 | 99.69 296 | 97.78 298 | 97.63 325 | 98.67 370 |
|
| plane_prior2 | | | | | | | | 99.39 283 | | 98.97 76 | | | | | | | |
|
| CHOSEN 1792x2688 | | | 99.19 100 | 99.10 98 | 99.45 171 | 99.89 8 | 98.52 264 | 99.39 283 | 99.94 1 | 98.73 103 | 99.11 282 | 99.89 45 | 95.50 231 | 99.94 92 | 99.50 57 | 99.97 9 | 99.89 29 |
|
| PAPM_NR | | | 99.04 158 | 98.84 176 | 99.66 92 | 99.74 100 | 99.44 117 | 99.39 283 | 99.38 294 | 97.70 262 | 99.28 241 | 99.28 377 | 98.34 97 | 99.85 190 | 96.96 374 | 99.45 179 | 99.69 155 |
|
| gg-mvs-nofinetune | | | 96.17 400 | 95.32 412 | 98.73 297 | 98.79 406 | 98.14 288 | 99.38 288 | 94.09 497 | 91.07 473 | 98.07 413 | 91.04 495 | 89.62 417 | 99.35 361 | 96.75 384 | 99.09 231 | 98.68 362 |
|
| VDDNet | | | 97.55 351 | 97.02 373 | 99.16 227 | 99.49 244 | 98.12 291 | 99.38 288 | 99.30 344 | 95.35 419 | 99.68 119 | 99.90 36 | 82.62 475 | 99.93 109 | 99.31 86 | 98.13 306 | 99.42 262 |
|
| ME-MVS | | | 99.56 21 | 99.46 28 | 99.86 34 | 99.80 63 | 99.81 33 | 99.37 290 | 99.70 18 | 99.18 34 | 99.83 64 | 99.83 107 | 98.74 66 | 99.93 109 | 98.83 173 | 99.89 67 | 99.83 63 |
|
| MGCNet | | | 99.15 114 | 98.96 146 | 99.73 83 | 98.92 388 | 99.37 124 | 99.37 290 | 96.92 483 | 99.51 2 | 99.66 130 | 99.78 177 | 96.69 167 | 99.97 29 | 99.84 28 | 99.97 9 | 99.84 53 |
|
| pmmvs6 | | | 96.53 392 | 96.09 397 | 97.82 404 | 98.69 426 | 95.47 423 | 99.37 290 | 99.47 227 | 93.46 450 | 97.41 431 | 99.78 177 | 87.06 448 | 99.33 364 | 96.92 379 | 92.70 448 | 98.65 381 |
|
| PM-MVS | | | 92.96 444 | 92.23 448 | 95.14 455 | 95.61 483 | 89.98 481 | 99.37 290 | 98.21 465 | 94.80 433 | 95.04 466 | 97.69 467 | 65.06 490 | 97.90 471 | 94.30 437 | 89.98 463 | 97.54 475 |
|
| WTY-MVS | | | 99.06 153 | 98.88 167 | 99.61 110 | 99.62 178 | 99.16 156 | 99.37 290 | 99.56 89 | 98.04 217 | 99.53 177 | 99.62 267 | 96.84 159 | 99.94 92 | 98.85 167 | 98.49 279 | 99.72 138 |
|
| IterMVS-LS | | | 98.46 227 | 98.42 226 | 98.58 314 | 99.59 197 | 98.00 297 | 99.37 290 | 99.43 271 | 96.94 344 | 99.07 291 | 99.59 276 | 97.87 114 | 99.03 421 | 98.32 247 | 95.62 397 | 98.71 348 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| h-mvs33 | | | 97.70 336 | 97.28 359 | 98.97 249 | 99.70 122 | 97.27 333 | 99.36 296 | 99.45 251 | 98.94 79 | 99.66 130 | 99.64 256 | 94.93 256 | 99.99 4 | 99.48 64 | 84.36 474 | 99.65 177 |
|
| DPE-MVS |  | | 99.46 42 | 99.32 53 | 99.91 6 | 99.78 70 | 99.88 10 | 99.36 296 | 99.51 156 | 98.73 103 | 99.88 42 | 99.84 101 | 98.72 68 | 99.96 41 | 98.16 260 | 99.87 78 | 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 | | | 96.44 394 | 96.12 395 | 97.40 426 | 98.65 429 | 95.65 416 | 99.36 296 | 99.51 156 | 97.13 322 | 96.04 457 | 98.99 414 | 88.40 432 | 98.17 464 | 96.71 386 | 90.27 461 | 98.40 434 |
|
| sss | | | 99.17 108 | 99.05 111 | 99.53 134 | 99.62 178 | 98.97 185 | 99.36 296 | 99.62 51 | 97.83 243 | 99.67 125 | 99.65 250 | 97.37 128 | 99.95 76 | 99.19 109 | 99.19 204 | 99.68 161 |
|
| DeepC-MVS_fast | | 98.69 1 | 99.49 33 | 99.39 39 | 99.77 74 | 99.63 169 | 99.59 89 | 99.36 296 | 99.46 240 | 99.07 58 | 99.79 76 | 99.82 120 | 98.85 44 | 99.92 123 | 98.68 195 | 99.87 78 | 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 95 | 99.14 93 | 99.59 114 | 99.41 269 | 99.16 156 | 99.35 301 | 99.57 84 | 98.82 90 | 99.51 181 | 99.61 271 | 96.46 181 | 99.95 76 | 99.59 45 | 99.98 4 | 99.65 177 |
|
| pmmvs-eth3d | | | 95.34 420 | 94.73 420 | 97.15 430 | 95.53 485 | 95.94 404 | 99.35 301 | 99.10 385 | 95.13 421 | 93.55 476 | 97.54 473 | 88.15 436 | 97.91 470 | 94.58 434 | 89.69 466 | 97.61 471 |
|
| MDTV_nov1_ep13_2view | | | | | | | 95.18 434 | 99.35 301 | | 96.84 349 | 99.58 164 | | 95.19 247 | | 97.82 293 | | 99.46 255 |
|
| VDD-MVS | | | 97.73 330 | 97.35 347 | 98.88 273 | 99.47 252 | 97.12 341 | 99.34 304 | 98.85 424 | 98.19 172 | 99.67 125 | 99.85 86 | 82.98 473 | 99.92 123 | 99.49 61 | 98.32 290 | 99.60 197 |
|
| COLMAP_ROB |  | 97.56 6 | 98.86 185 | 98.75 186 | 99.17 226 | 99.88 13 | 98.53 260 | 99.34 304 | 99.59 72 | 97.55 279 | 98.70 356 | 99.89 45 | 95.83 216 | 99.90 148 | 98.10 266 | 99.90 56 | 99.08 302 |
| 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 | 99.32 199 | 99.58 199 | 98.51 266 | 99.33 306 | 99.54 108 | 97.85 239 | 99.44 195 | 99.85 86 | 96.01 205 | 99.79 248 | 99.41 70 | 99.13 212 | 99.67 165 |
|
| myMVS_eth3d28 | | | 97.69 337 | 97.34 350 | 98.73 297 | 99.27 311 | 97.52 324 | 99.33 306 | 98.78 434 | 98.03 219 | 98.82 338 | 98.49 442 | 86.64 449 | 99.46 334 | 98.44 231 | 98.24 296 | 99.23 290 |
|
| EGC-MVSNET | | | 82.80 458 | 77.86 464 | 97.62 416 | 97.91 450 | 96.12 399 | 99.33 306 | 99.28 350 | 8.40 503 | 25.05 504 | 99.27 380 | 84.11 468 | 99.33 364 | 89.20 473 | 98.22 297 | 97.42 477 |
|
| diffmvs_AUTHOR | | | 99.19 100 | 99.10 98 | 99.48 162 | 99.64 165 | 98.85 224 | 99.32 309 | 99.48 205 | 98.50 125 | 99.81 69 | 99.81 135 | 96.82 160 | 99.88 168 | 99.40 71 | 99.12 217 | 99.71 149 |
|
| ETVMVS | | | 97.50 357 | 96.90 377 | 99.29 209 | 99.23 322 | 98.78 238 | 99.32 309 | 98.90 417 | 97.52 285 | 98.56 376 | 98.09 461 | 84.72 466 | 99.69 296 | 97.86 288 | 97.88 315 | 99.39 269 |
|
| FMVSNet5 | | | 96.43 395 | 96.19 394 | 97.15 430 | 99.11 353 | 95.89 408 | 99.32 309 | 99.52 133 | 94.47 439 | 98.34 395 | 99.07 401 | 87.54 442 | 97.07 481 | 92.61 461 | 95.72 394 | 98.47 425 |
|
| dp | | | 97.75 326 | 97.80 284 | 97.59 420 | 99.10 356 | 93.71 461 | 99.32 309 | 98.88 420 | 96.48 379 | 99.08 290 | 99.55 291 | 92.67 354 | 99.82 230 | 96.52 394 | 98.58 271 | 99.24 289 |
|
| tpmvs | | | 97.98 285 | 98.02 261 | 97.84 399 | 99.04 370 | 94.73 443 | 99.31 313 | 99.20 373 | 96.10 410 | 98.76 346 | 99.42 334 | 94.94 255 | 99.81 235 | 96.97 373 | 98.45 280 | 98.97 320 |
|
| tpmrst | | | 98.33 240 | 98.48 223 | 97.90 390 | 99.16 345 | 94.78 442 | 99.31 313 | 99.11 384 | 97.27 310 | 99.45 190 | 99.59 276 | 95.33 239 | 99.84 199 | 98.48 224 | 98.61 268 | 99.09 301 |
|
| testing99 | | | 97.36 367 | 96.94 376 | 98.63 308 | 99.18 335 | 96.70 375 | 99.30 315 | 98.93 407 | 97.71 259 | 98.23 401 | 98.26 453 | 84.92 464 | 99.84 199 | 98.04 276 | 97.85 318 | 99.35 275 |
|
| MP-MVS-pluss | | | 99.37 68 | 99.20 85 | 99.88 15 | 99.90 4 | 99.87 17 | 99.30 315 | 99.52 133 | 97.18 318 | 99.60 160 | 99.79 170 | 98.79 53 | 99.95 76 | 98.83 173 | 99.91 45 | 99.83 63 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| NCCC | | | 99.34 75 | 99.19 87 | 99.79 68 | 99.61 189 | 99.65 75 | 99.30 315 | 99.48 205 | 98.86 85 | 99.21 262 | 99.63 262 | 98.72 68 | 99.90 148 | 98.25 252 | 99.63 164 | 99.80 88 |
|
| JIA-IIPM | | | 97.50 357 | 97.02 373 | 98.93 256 | 98.73 418 | 97.80 312 | 99.30 315 | 98.97 403 | 91.73 469 | 98.91 320 | 94.86 489 | 95.10 250 | 99.71 283 | 97.58 319 | 97.98 310 | 99.28 283 |
|
| BH-RMVSNet | | | 98.41 232 | 98.08 253 | 99.40 183 | 99.41 269 | 98.83 229 | 99.30 315 | 98.77 435 | 97.70 262 | 98.94 317 | 99.65 250 | 92.91 344 | 99.74 267 | 96.52 394 | 99.55 172 | 99.64 184 |
|
| usedtu_blend_shiyan5 | | | 95.04 425 | 94.10 432 | 97.86 395 | 96.45 475 | 95.92 405 | 99.29 320 | 99.22 368 | 86.17 486 | 98.36 391 | 97.68 468 | 91.20 394 | 99.07 414 | 97.53 327 | 80.97 486 | 98.60 404 |
|
| testing11 | | | 97.50 357 | 97.10 370 | 98.71 302 | 99.20 329 | 96.91 367 | 99.29 320 | 98.82 427 | 97.89 233 | 98.21 404 | 98.40 446 | 85.63 458 | 99.83 221 | 98.45 230 | 98.04 309 | 99.37 273 |
|
| Syy-MVS | | | 97.09 381 | 97.14 367 | 96.95 439 | 99.00 375 | 92.73 471 | 99.29 320 | 99.39 286 | 97.06 332 | 97.41 431 | 98.15 456 | 93.92 320 | 98.68 455 | 91.71 464 | 98.34 284 | 99.45 258 |
|
| myMVS_eth3d | | | 96.89 384 | 96.37 389 | 98.43 341 | 99.00 375 | 97.16 339 | 99.29 320 | 99.39 286 | 97.06 332 | 97.41 431 | 98.15 456 | 83.46 472 | 98.68 455 | 95.27 425 | 98.34 284 | 99.45 258 |
|
| MCST-MVS | | | 99.43 53 | 99.30 61 | 99.82 57 | 99.79 68 | 99.74 54 | 99.29 320 | 99.40 283 | 98.79 96 | 99.52 179 | 99.62 267 | 98.91 39 | 99.90 148 | 98.64 199 | 99.75 142 | 99.82 72 |
|
| LF4IMVS | | | 97.52 354 | 97.46 329 | 97.70 413 | 98.98 381 | 95.55 419 | 99.29 320 | 98.82 427 | 98.07 203 | 98.66 359 | 99.64 256 | 89.97 411 | 99.61 319 | 97.01 369 | 96.68 366 | 97.94 464 |
|
| hse-mvs2 | | | 97.50 357 | 97.14 367 | 98.59 311 | 99.49 244 | 97.05 348 | 99.28 326 | 99.22 368 | 98.94 79 | 99.66 130 | 99.42 334 | 94.93 256 | 99.65 307 | 99.48 64 | 83.80 477 | 99.08 302 |
|
| OPM-MVS | | | 98.19 251 | 98.10 249 | 98.45 336 | 98.88 393 | 97.07 346 | 99.28 326 | 99.38 294 | 98.57 118 | 99.22 259 | 99.81 135 | 92.12 368 | 99.66 302 | 98.08 271 | 97.54 334 | 98.61 401 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| diffmvs |  | | 99.14 122 | 99.02 126 | 99.51 146 | 99.61 189 | 98.96 189 | 99.28 326 | 99.49 193 | 98.46 129 | 99.72 102 | 99.71 214 | 96.50 179 | 99.88 168 | 99.31 86 | 99.11 219 | 99.67 165 |
| 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 | | | 98.86 185 | 98.80 179 | 99.03 241 | 99.76 82 | 98.79 235 | 99.28 326 | 99.91 3 | 97.42 298 | 99.67 125 | 99.37 352 | 97.53 122 | 99.88 168 | 98.98 140 | 97.29 354 | 98.42 431 |
|
| OMC-MVS | | | 99.08 148 | 99.04 113 | 99.20 223 | 99.67 137 | 98.22 284 | 99.28 326 | 99.52 133 | 98.07 203 | 99.66 130 | 99.81 135 | 97.79 117 | 99.78 254 | 97.79 297 | 99.81 120 | 99.60 197 |
|
| testing222 | | | 97.16 377 | 96.50 386 | 99.16 227 | 99.16 345 | 98.47 273 | 99.27 331 | 98.66 451 | 97.71 259 | 98.23 401 | 98.15 456 | 82.28 478 | 99.84 199 | 97.36 345 | 97.66 324 | 99.18 293 |
|
| AUN-MVS | | | 96.88 385 | 96.31 391 | 98.59 311 | 99.48 251 | 97.04 351 | 99.27 331 | 99.22 368 | 97.44 295 | 98.51 379 | 99.41 338 | 91.97 371 | 99.66 302 | 97.71 309 | 83.83 476 | 99.07 307 |
|
| pmmvs5 | | | 97.52 354 | 97.30 356 | 98.16 366 | 98.57 438 | 96.73 374 | 99.27 331 | 98.90 417 | 96.14 404 | 98.37 390 | 99.53 300 | 91.54 385 | 99.14 400 | 97.51 330 | 95.87 389 | 98.63 390 |
|
| 1314 | | | 98.68 214 | 98.54 219 | 99.11 234 | 98.89 392 | 98.65 247 | 99.27 331 | 99.49 193 | 96.89 346 | 97.99 415 | 99.56 288 | 97.72 120 | 99.83 221 | 97.74 305 | 99.27 194 | 98.84 328 |
|
| MVS | | | 97.28 372 | 96.55 385 | 99.48 162 | 98.78 409 | 98.95 195 | 99.27 331 | 99.39 286 | 83.53 489 | 98.08 410 | 99.54 296 | 96.97 151 | 99.87 175 | 94.23 440 | 99.16 205 | 99.63 189 |
|
| BH-untuned | | | 98.42 230 | 98.36 229 | 98.59 311 | 99.49 244 | 96.70 375 | 99.27 331 | 99.13 382 | 97.24 314 | 98.80 341 | 99.38 349 | 95.75 222 | 99.74 267 | 97.07 368 | 99.16 205 | 99.33 279 |
|
| MDTV_nov1_ep13 | | | | 98.32 233 | | 99.11 353 | 94.44 451 | 99.27 331 | 98.74 439 | 97.51 286 | 99.40 211 | 99.62 267 | 94.78 269 | 99.76 261 | 97.59 318 | 98.81 260 | |
|
| DP-MVS Recon | | | 99.12 134 | 98.95 150 | 99.65 96 | 99.74 100 | 99.70 60 | 99.27 331 | 99.57 84 | 96.40 386 | 99.42 201 | 99.68 237 | 98.75 61 | 99.80 242 | 97.98 279 | 99.72 148 | 99.44 260 |
|
| PatchmatchNet |  | | 98.31 241 | 98.36 229 | 98.19 364 | 99.16 345 | 95.32 430 | 99.27 331 | 98.92 410 | 97.37 302 | 99.37 217 | 99.58 280 | 94.90 260 | 99.70 290 | 97.43 341 | 99.21 201 | 99.54 221 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| thres200 | | | 97.61 348 | 97.28 359 | 98.62 309 | 99.64 165 | 98.03 295 | 99.26 340 | 98.74 439 | 97.68 264 | 99.09 288 | 98.32 450 | 91.66 382 | 99.81 235 | 92.88 457 | 98.22 297 | 98.03 456 |
|
| CNVR-MVS | | | 99.42 55 | 99.30 61 | 99.78 71 | 99.62 178 | 99.71 58 | 99.26 340 | 99.52 133 | 98.82 90 | 99.39 213 | 99.71 214 | 98.96 27 | 99.85 190 | 98.59 210 | 99.80 125 | 99.77 100 |
|
| mamba_0408 | | | 99.08 148 | 98.96 146 | 99.44 176 | 99.62 178 | 98.88 216 | 99.25 342 | 99.47 227 | 98.05 210 | 99.37 217 | 99.81 135 | 96.85 155 | 99.85 190 | 98.98 140 | 99.25 197 | 99.60 197 |
|
| SSM_04072 | | | 99.06 153 | 98.96 146 | 99.35 192 | 99.62 178 | 98.88 216 | 99.25 342 | 99.47 227 | 98.05 210 | 99.37 217 | 99.81 135 | 96.85 155 | 99.58 322 | 98.98 140 | 99.25 197 | 99.60 197 |
|
| tt0320 | | | 95.71 410 | 95.07 414 | 97.62 416 | 99.05 368 | 95.02 437 | 99.25 342 | 99.52 133 | 86.81 482 | 97.97 417 | 99.72 211 | 83.58 471 | 99.15 398 | 96.38 400 | 93.35 437 | 98.68 362 |
|
| 1112_ss | | | 98.98 170 | 98.77 184 | 99.59 114 | 99.68 134 | 99.02 177 | 99.25 342 | 99.48 205 | 97.23 315 | 99.13 278 | 99.58 280 | 96.93 153 | 99.90 148 | 98.87 160 | 98.78 261 | 99.84 53 |
|
| TAPA-MVS | | 97.07 15 | 97.74 328 | 97.34 350 | 98.94 254 | 99.70 122 | 97.53 323 | 99.25 342 | 99.51 156 | 91.90 468 | 99.30 237 | 99.63 262 | 98.78 54 | 99.64 311 | 88.09 478 | 99.87 78 | 99.65 177 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| UWE-MVS-28 | | | 97.36 367 | 97.24 363 | 97.75 409 | 98.84 402 | 94.44 451 | 99.24 347 | 97.58 479 | 97.98 225 | 99.00 306 | 99.00 412 | 91.35 390 | 99.53 329 | 93.75 445 | 98.39 282 | 99.27 287 |
|
| UBG | | | 97.85 304 | 97.48 324 | 98.95 252 | 99.25 318 | 97.64 320 | 99.24 347 | 98.74 439 | 97.90 232 | 98.64 366 | 98.20 455 | 88.65 428 | 99.81 235 | 98.27 250 | 98.40 281 | 99.42 262 |
|
| PLC |  | 97.94 4 | 99.02 161 | 98.85 174 | 99.53 134 | 99.66 149 | 99.01 179 | 99.24 347 | 99.52 133 | 96.85 348 | 99.27 247 | 99.48 320 | 98.25 101 | 99.91 135 | 97.76 302 | 99.62 165 | 99.65 177 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| test_post1 | | | | | | | | 99.23 350 | | | | 65.14 501 | 94.18 309 | 99.71 283 | 97.58 319 | | |
|
| ADS-MVSNet2 | | | 98.02 278 | 98.07 256 | 97.87 392 | 99.33 293 | 95.19 433 | 99.23 350 | 99.08 388 | 96.24 394 | 99.10 285 | 99.67 243 | 94.11 311 | 98.93 444 | 96.81 382 | 99.05 234 | 99.48 244 |
|
| ADS-MVSNet | | | 98.20 250 | 98.08 253 | 98.56 319 | 99.33 293 | 96.48 386 | 99.23 350 | 99.15 379 | 96.24 394 | 99.10 285 | 99.67 243 | 94.11 311 | 99.71 283 | 96.81 382 | 99.05 234 | 99.48 244 |
|
| EPNet_dtu | | | 98.03 276 | 97.96 266 | 98.23 362 | 98.27 446 | 95.54 421 | 99.23 350 | 98.75 436 | 99.02 62 | 97.82 424 | 99.71 214 | 96.11 200 | 99.48 331 | 93.04 455 | 99.65 161 | 99.69 155 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| CR-MVSNet | | | 98.17 254 | 97.93 271 | 98.87 277 | 99.18 335 | 98.49 269 | 99.22 354 | 99.33 325 | 96.96 340 | 99.56 168 | 99.38 349 | 94.33 302 | 99.00 429 | 94.83 433 | 98.58 271 | 99.14 294 |
|
| RPMNet | | | 96.72 388 | 95.90 401 | 99.19 224 | 99.18 335 | 98.49 269 | 99.22 354 | 99.52 133 | 88.72 480 | 99.56 168 | 97.38 476 | 94.08 313 | 99.95 76 | 86.87 485 | 98.58 271 | 99.14 294 |
|
| sc_t1 | | | 95.75 408 | 95.05 415 | 97.87 392 | 98.83 403 | 94.61 448 | 99.21 356 | 99.45 251 | 87.45 481 | 97.97 417 | 99.85 86 | 81.19 481 | 99.43 345 | 98.27 250 | 93.20 441 | 99.57 215 |
|
| WBMVS | | | 97.74 328 | 97.50 322 | 98.46 334 | 99.24 320 | 97.43 327 | 99.21 356 | 99.42 273 | 97.45 292 | 98.96 313 | 99.41 338 | 88.83 423 | 99.23 381 | 98.94 148 | 96.02 382 | 98.71 348 |
|
| plane_prior | | | | | | | 96.97 359 | 99.21 356 | | 98.45 131 | | | | | | 97.60 328 | |
|
| IMVS_0404 | | | 98.53 223 | 98.52 221 | 98.55 321 | 99.55 213 | 96.93 362 | 99.20 359 | 99.44 260 | 98.05 210 | 98.96 313 | 99.80 153 | 94.66 284 | 99.13 403 | 98.15 262 | 98.92 246 | 99.60 197 |
|
| tt0320-xc | | | 95.31 421 | 94.59 424 | 97.45 424 | 98.92 388 | 94.73 443 | 99.20 359 | 99.31 339 | 86.74 483 | 97.23 437 | 99.72 211 | 81.14 482 | 98.95 442 | 97.08 367 | 91.98 452 | 98.67 370 |
|
| testing91 | | | 97.44 364 | 97.02 373 | 98.71 302 | 99.18 335 | 96.89 369 | 99.19 361 | 99.04 395 | 97.78 251 | 98.31 396 | 98.29 451 | 85.41 461 | 99.85 190 | 98.01 277 | 97.95 311 | 99.39 269 |
|
| WR-MVS | | | 98.06 268 | 97.73 297 | 99.06 237 | 98.86 399 | 99.25 147 | 99.19 361 | 99.35 312 | 97.30 308 | 98.66 359 | 99.43 332 | 93.94 318 | 99.21 392 | 98.58 211 | 94.28 424 | 98.71 348 |
|
| new-patchmatchnet | | | 94.48 435 | 94.08 434 | 95.67 453 | 95.08 488 | 92.41 472 | 99.18 363 | 99.28 350 | 94.55 438 | 93.49 477 | 97.37 477 | 87.86 440 | 97.01 483 | 91.57 465 | 88.36 468 | 97.61 471 |
|
| AdaColmap |  | | 99.01 166 | 98.80 179 | 99.66 92 | 99.56 209 | 99.54 99 | 99.18 363 | 99.70 18 | 98.18 175 | 99.35 226 | 99.63 262 | 96.32 188 | 99.90 148 | 97.48 333 | 99.77 137 | 99.55 219 |
|
| EG-PatchMatch MVS | | | 95.97 404 | 95.69 405 | 96.81 443 | 97.78 453 | 92.79 470 | 99.16 365 | 98.93 407 | 96.16 401 | 94.08 472 | 99.22 386 | 82.72 474 | 99.47 332 | 95.67 416 | 97.50 339 | 98.17 447 |
|
| PatchT | | | 97.03 382 | 96.44 388 | 98.79 292 | 98.99 378 | 98.34 279 | 99.16 365 | 99.07 391 | 92.13 466 | 99.52 179 | 97.31 479 | 94.54 292 | 98.98 432 | 88.54 476 | 98.73 263 | 99.03 311 |
|
| CNLPA | | | 99.14 122 | 98.99 137 | 99.59 114 | 99.58 199 | 99.41 121 | 99.16 365 | 99.44 260 | 98.45 131 | 99.19 269 | 99.49 314 | 98.08 109 | 99.89 163 | 97.73 306 | 99.75 142 | 99.48 244 |
|
| usedtu_dtu_shiyan2 | | | 91.34 448 | 89.96 456 | 95.47 454 | 93.61 494 | 90.81 478 | 99.15 368 | 98.68 448 | 86.37 485 | 95.19 463 | 98.27 452 | 72.64 487 | 97.05 482 | 85.40 489 | 80.32 490 | 98.54 415 |
|
| MDA-MVSNet-bldmvs | | | 94.96 428 | 93.98 435 | 97.92 388 | 98.24 447 | 97.27 333 | 99.15 368 | 99.33 325 | 93.80 444 | 80.09 496 | 99.03 408 | 88.31 433 | 97.86 472 | 93.49 449 | 94.36 423 | 98.62 392 |
|
| CDPH-MVS | | | 99.13 126 | 98.91 158 | 99.80 64 | 99.75 92 | 99.71 58 | 99.15 368 | 99.41 276 | 96.60 370 | 99.60 160 | 99.55 291 | 98.83 48 | 99.90 148 | 97.48 333 | 99.83 113 | 99.78 98 |
|
| save fliter | | | | | | 99.76 82 | 99.59 89 | 99.14 371 | 99.40 283 | 99.00 67 | | | | | | | |
|
| WB-MVSnew | | | 97.65 345 | 97.65 305 | 97.63 415 | 98.78 409 | 97.62 321 | 99.13 372 | 98.33 460 | 97.36 303 | 99.07 291 | 98.94 420 | 95.64 227 | 99.15 398 | 92.95 456 | 98.68 266 | 96.12 487 |
|
| testf1 | | | 90.42 452 | 90.68 452 | 89.65 474 | 97.78 453 | 73.97 502 | 99.13 372 | 98.81 429 | 89.62 475 | 91.80 485 | 98.93 421 | 62.23 493 | 98.80 451 | 86.61 486 | 91.17 455 | 96.19 485 |
|
| APD_test2 | | | 90.42 452 | 90.68 452 | 89.65 474 | 97.78 453 | 73.97 502 | 99.13 372 | 98.81 429 | 89.62 475 | 91.80 485 | 98.93 421 | 62.23 493 | 98.80 451 | 86.61 486 | 91.17 455 | 96.19 485 |
|
| xiu_mvs_v1_base_debu | | | 99.29 84 | 99.27 72 | 99.34 193 | 99.63 169 | 98.97 185 | 99.12 375 | 99.51 156 | 98.86 85 | 99.84 55 | 99.47 323 | 98.18 104 | 99.99 4 | 99.50 57 | 99.31 191 | 99.08 302 |
|
| xiu_mvs_v1_base | | | 99.29 84 | 99.27 72 | 99.34 193 | 99.63 169 | 98.97 185 | 99.12 375 | 99.51 156 | 98.86 85 | 99.84 55 | 99.47 323 | 98.18 104 | 99.99 4 | 99.50 57 | 99.31 191 | 99.08 302 |
|
| xiu_mvs_v1_base_debi | | | 99.29 84 | 99.27 72 | 99.34 193 | 99.63 169 | 98.97 185 | 99.12 375 | 99.51 156 | 98.86 85 | 99.84 55 | 99.47 323 | 98.18 104 | 99.99 4 | 99.50 57 | 99.31 191 | 99.08 302 |
|
| XVG-OURS-SEG-HR | | | 98.69 213 | 98.62 209 | 98.89 268 | 99.71 117 | 97.74 313 | 99.12 375 | 99.54 108 | 98.44 134 | 99.42 201 | 99.71 214 | 94.20 306 | 99.92 123 | 98.54 221 | 98.90 252 | 99.00 314 |
|
| jason | | | 99.13 126 | 99.03 116 | 99.45 171 | 99.46 254 | 98.87 220 | 99.12 375 | 99.26 359 | 98.03 219 | 99.79 76 | 99.65 250 | 97.02 148 | 99.85 190 | 99.02 137 | 99.90 56 | 99.65 177 |
| jason: jason. |
| N_pmnet | | | 94.95 429 | 95.83 403 | 92.31 465 | 98.47 442 | 79.33 497 | 99.12 375 | 92.81 503 | 93.87 442 | 97.68 427 | 99.13 396 | 93.87 322 | 99.01 428 | 91.38 466 | 96.19 379 | 98.59 410 |
|
| MDA-MVSNet_test_wron | | | 95.45 414 | 94.60 423 | 98.01 378 | 98.16 448 | 97.21 338 | 99.11 381 | 99.24 365 | 93.49 449 | 80.73 495 | 98.98 416 | 93.02 339 | 98.18 463 | 94.22 441 | 94.45 421 | 98.64 383 |
|
| Patchmtry | | | 97.75 326 | 97.40 342 | 98.81 289 | 99.10 356 | 98.87 220 | 99.11 381 | 99.33 325 | 94.83 432 | 98.81 339 | 99.38 349 | 94.33 302 | 99.02 425 | 96.10 403 | 95.57 399 | 98.53 417 |
|
| YYNet1 | | | 95.36 419 | 94.51 427 | 97.92 388 | 97.89 451 | 97.10 342 | 99.10 383 | 99.23 366 | 93.26 453 | 80.77 494 | 99.04 407 | 92.81 345 | 98.02 467 | 94.30 437 | 94.18 426 | 98.64 383 |
|
| CANet_DTU | | | 98.97 172 | 98.87 168 | 99.25 216 | 99.33 293 | 98.42 277 | 99.08 384 | 99.30 344 | 99.16 37 | 99.43 198 | 99.75 195 | 95.27 241 | 99.97 29 | 98.56 217 | 99.95 22 | 99.36 274 |
|
| icg_test_0407_2 | | | 98.79 202 | 98.86 171 | 98.57 315 | 99.55 213 | 96.93 362 | 99.07 385 | 99.44 260 | 98.05 210 | 99.66 130 | 99.80 153 | 97.13 139 | 99.18 395 | 98.15 262 | 98.92 246 | 99.60 197 |
|
| SCA | | | 98.19 251 | 98.16 241 | 98.27 359 | 99.30 302 | 95.55 419 | 99.07 385 | 98.97 403 | 97.57 276 | 99.43 198 | 99.57 285 | 92.72 349 | 99.74 267 | 97.58 319 | 99.20 203 | 99.52 227 |
|
| TSAR-MVS + GP. | | | 99.36 72 | 99.36 45 | 99.36 190 | 99.67 137 | 98.61 254 | 99.07 385 | 99.33 325 | 99.00 67 | 99.82 68 | 99.81 135 | 99.06 18 | 99.84 199 | 99.09 128 | 99.42 181 | 99.65 177 |
|
| MG-MVS | | | 99.13 126 | 99.02 126 | 99.45 171 | 99.57 205 | 98.63 250 | 99.07 385 | 99.34 317 | 98.99 69 | 99.61 157 | 99.82 120 | 97.98 113 | 99.87 175 | 97.00 370 | 99.80 125 | 99.85 46 |
|
| PatchMatch-RL | | | 98.84 197 | 98.62 209 | 99.52 141 | 99.71 117 | 99.28 142 | 99.06 389 | 99.77 12 | 97.74 257 | 99.50 182 | 99.53 300 | 95.41 234 | 99.84 199 | 97.17 363 | 99.64 162 | 99.44 260 |
|
| OpenMVS_ROB |  | 92.34 20 | 94.38 436 | 93.70 441 | 96.41 448 | 97.38 460 | 93.17 468 | 99.06 389 | 98.75 436 | 86.58 484 | 94.84 469 | 98.26 453 | 81.53 479 | 99.32 366 | 89.01 474 | 97.87 316 | 96.76 480 |
|
| TEST9 | | | | | | 99.67 137 | 99.65 75 | 99.05 391 | 99.41 276 | 96.22 396 | 98.95 315 | 99.49 314 | 98.77 57 | 99.91 135 | | | |
|
| train_agg | | | 99.02 161 | 98.77 184 | 99.77 74 | 99.67 137 | 99.65 75 | 99.05 391 | 99.41 276 | 96.28 390 | 98.95 315 | 99.49 314 | 98.76 58 | 99.91 135 | 97.63 315 | 99.72 148 | 99.75 113 |
|
| lupinMVS | | | 99.13 126 | 99.01 133 | 99.46 170 | 99.51 230 | 98.94 199 | 99.05 391 | 99.16 378 | 97.86 236 | 99.80 74 | 99.56 288 | 97.39 125 | 99.86 182 | 98.94 148 | 99.85 93 | 99.58 212 |
|
| DELS-MVS | | | 99.48 37 | 99.42 32 | 99.65 96 | 99.72 111 | 99.40 122 | 99.05 391 | 99.66 32 | 99.14 40 | 99.57 167 | 99.80 153 | 98.46 88 | 99.94 92 | 99.57 48 | 99.84 101 | 99.60 197 |
| 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 | | | 96.38 396 | 96.03 398 | 97.41 425 | 98.13 449 | 95.16 435 | 99.05 391 | 99.20 373 | 93.94 441 | 97.39 434 | 98.79 432 | 91.61 384 | 99.04 419 | 90.43 469 | 95.77 391 | 98.05 455 |
|
| Patchmatch-test | | | 97.93 291 | 97.65 305 | 98.77 295 | 99.18 335 | 97.07 346 | 99.03 396 | 99.14 381 | 96.16 401 | 98.74 347 | 99.57 285 | 94.56 289 | 99.72 277 | 93.36 450 | 99.11 219 | 99.52 227 |
|
| test_8 | | | | | | 99.67 137 | 99.61 86 | 99.03 396 | 99.41 276 | 96.28 390 | 98.93 318 | 99.48 320 | 98.76 58 | 99.91 135 | | | |
|
| Test_1112_low_res | | | 98.89 178 | 98.66 199 | 99.57 121 | 99.69 127 | 98.95 195 | 99.03 396 | 99.47 227 | 96.98 338 | 99.15 276 | 99.23 385 | 96.77 164 | 99.89 163 | 98.83 173 | 98.78 261 | 99.86 42 |
|
| IterMVS-SCA-FT | | | 97.82 314 | 97.75 295 | 98.06 374 | 99.57 205 | 96.36 390 | 99.02 399 | 99.49 193 | 97.18 318 | 98.71 350 | 99.72 211 | 92.72 349 | 99.14 400 | 97.44 340 | 95.86 390 | 98.67 370 |
|
| xiu_mvs_v2_base | | | 99.26 91 | 99.25 76 | 99.29 209 | 99.53 221 | 98.91 206 | 99.02 399 | 99.45 251 | 98.80 95 | 99.71 112 | 99.26 382 | 98.94 34 | 99.98 20 | 99.34 81 | 99.23 200 | 98.98 318 |
|
| MIMVSNet | | | 97.73 330 | 97.45 330 | 98.57 315 | 99.45 260 | 97.50 325 | 99.02 399 | 98.98 402 | 96.11 406 | 99.41 206 | 99.14 395 | 90.28 404 | 98.74 453 | 95.74 412 | 98.93 244 | 99.47 250 |
|
| IterMVS | | | 97.83 311 | 97.77 290 | 98.02 377 | 99.58 199 | 96.27 394 | 99.02 399 | 99.48 205 | 97.22 316 | 98.71 350 | 99.70 218 | 92.75 346 | 99.13 403 | 97.46 336 | 96.00 384 | 98.67 370 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| HyFIR lowres test | | | 99.11 140 | 98.92 155 | 99.65 96 | 99.90 4 | 99.37 124 | 99.02 399 | 99.91 3 | 97.67 266 | 99.59 163 | 99.75 195 | 95.90 213 | 99.73 273 | 99.53 53 | 99.02 239 | 99.86 42 |
|
| UWE-MVS | | | 97.58 350 | 97.29 358 | 98.48 328 | 99.09 359 | 96.25 395 | 99.01 404 | 96.61 489 | 97.86 236 | 99.19 269 | 99.01 411 | 88.72 424 | 99.90 148 | 97.38 344 | 98.69 265 | 99.28 283 |
|
| æ–°å‡ ä½•2 | | | | | | | | 99.01 404 | | | | | | | | | |
|
| BH-w/o | | | 98.00 283 | 97.89 277 | 98.32 351 | 99.35 287 | 96.20 397 | 99.01 404 | 98.90 417 | 96.42 384 | 98.38 389 | 99.00 412 | 95.26 243 | 99.72 277 | 96.06 404 | 98.61 268 | 99.03 311 |
|
| test_prior4 | | | | | | | 99.56 95 | 98.99 407 | | | | | | | | | |
|
| æ— å…ˆéªŒ | | | | | | | | 98.99 407 | 99.51 156 | 96.89 346 | | | | 99.93 109 | 97.53 327 | | 99.72 138 |
|
| pmmvs4 | | | 98.13 258 | 97.90 273 | 98.81 289 | 98.61 434 | 98.87 220 | 98.99 407 | 99.21 372 | 96.44 382 | 99.06 296 | 99.58 280 | 95.90 213 | 99.11 409 | 97.18 362 | 96.11 381 | 98.46 428 |
|
| HQP-NCC | | | | | | 99.19 332 | | 98.98 410 | | 98.24 163 | 98.66 359 | | | | | | |
|
| ACMP_Plane | | | | | | 99.19 332 | | 98.98 410 | | 98.24 163 | 98.66 359 | | | | | | |
|
| HQP-MVS | | | 98.02 278 | 97.90 273 | 98.37 347 | 99.19 332 | 96.83 370 | 98.98 410 | 99.39 286 | 98.24 163 | 98.66 359 | 99.40 342 | 92.47 360 | 99.64 311 | 97.19 360 | 97.58 330 | 98.64 383 |
|
| PS-MVSNAJ | | | 99.32 78 | 99.32 53 | 99.30 206 | 99.57 205 | 98.94 199 | 98.97 413 | 99.46 240 | 98.92 82 | 99.71 112 | 99.24 384 | 99.01 20 | 99.98 20 | 99.35 76 | 99.66 159 | 98.97 320 |
|
| MVP-Stereo | | | 97.81 316 | 97.75 295 | 97.99 381 | 97.53 457 | 96.60 383 | 98.96 414 | 98.85 424 | 97.22 316 | 97.23 437 | 99.36 355 | 95.28 240 | 99.46 334 | 95.51 418 | 99.78 134 | 97.92 466 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| test_prior2 | | | | | | | | 98.96 414 | | 98.34 144 | 99.01 302 | 99.52 304 | 98.68 71 | | 97.96 280 | 99.74 145 | |
|
| 旧先验2 | | | | | | | | 98.96 414 | | 96.70 358 | 99.47 187 | | | 99.94 92 | 98.19 256 | | |
|
| 原ACMM2 | | | | | | | | 98.95 417 | | | | | | | | | |
|
| MVS_111021_HR | | | 99.41 59 | 99.32 53 | 99.66 92 | 99.72 111 | 99.47 114 | 98.95 417 | 99.85 9 | 98.82 90 | 99.54 175 | 99.73 207 | 98.51 85 | 99.74 267 | 98.91 154 | 99.88 75 | 99.77 100 |
|
| mvsany_test1 | | | 99.50 31 | 99.46 28 | 99.62 109 | 99.61 189 | 99.09 167 | 98.94 419 | 99.48 205 | 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 51 | 99.65 96 | 99.77 78 | 99.51 108 | 98.94 419 | 99.85 9 | 98.82 90 | 99.65 140 | 99.74 201 | 98.51 85 | 99.80 242 | 98.83 173 | 99.89 67 | 99.64 184 |
|
| pmmvs3 | | | 94.09 438 | 93.25 445 | 96.60 446 | 94.76 491 | 94.49 450 | 98.92 421 | 98.18 467 | 89.66 474 | 96.48 451 | 98.06 462 | 86.28 453 | 97.33 479 | 89.68 472 | 87.20 471 | 97.97 463 |
|
| XVG-OURS | | | 98.73 211 | 98.68 195 | 98.88 273 | 99.70 122 | 97.73 314 | 98.92 421 | 99.55 99 | 98.52 123 | 99.45 190 | 99.84 101 | 95.27 241 | 99.91 135 | 98.08 271 | 98.84 256 | 99.00 314 |
|
| test222 | | | | | | 99.75 92 | 99.49 110 | 98.91 423 | 99.49 193 | 96.42 384 | 99.34 230 | 99.65 250 | 98.28 100 | | | 99.69 153 | 99.72 138 |
|
| PMMVS2 | | | 86.87 455 | 85.37 459 | 91.35 469 | 90.21 498 | 83.80 488 | 98.89 424 | 97.45 481 | 83.13 490 | 91.67 487 | 95.03 487 | 48.49 499 | 94.70 493 | 85.86 488 | 77.62 492 | 95.54 488 |
|
| miper_lstm_enhance | | | 98.00 283 | 97.91 272 | 98.28 358 | 99.34 292 | 97.43 327 | 98.88 425 | 99.36 305 | 96.48 379 | 98.80 341 | 99.55 291 | 95.98 206 | 98.91 445 | 97.27 352 | 95.50 402 | 98.51 421 |
|
| MVS-HIRNet | | | 95.75 408 | 95.16 413 | 97.51 422 | 99.30 302 | 93.69 462 | 98.88 425 | 95.78 491 | 85.09 488 | 98.78 344 | 92.65 491 | 91.29 392 | 99.37 354 | 94.85 432 | 99.85 93 | 99.46 255 |
|
| TR-MVS | | | 97.76 322 | 97.41 341 | 98.82 286 | 99.06 365 | 97.87 308 | 98.87 427 | 98.56 454 | 96.63 366 | 98.68 358 | 99.22 386 | 92.49 359 | 99.65 307 | 95.40 422 | 97.79 320 | 98.95 324 |
|
| blended_shiyan8 | | | 95.56 411 | 94.79 418 | 97.87 392 | 96.60 473 | 95.90 407 | 98.85 428 | 99.27 357 | 92.19 462 | 98.47 383 | 97.94 465 | 91.43 387 | 99.11 409 | 97.26 353 | 81.09 485 | 98.60 404 |
|
| blended_shiyan6 | | | 95.54 412 | 94.78 419 | 97.84 399 | 96.60 473 | 95.89 408 | 98.85 428 | 99.28 350 | 92.17 465 | 98.43 386 | 97.95 464 | 91.44 386 | 99.02 425 | 97.30 350 | 80.97 486 | 98.60 404 |
|
| testdata1 | | | | | | | | 98.85 428 | | 98.32 148 | | | | | | | |
|
| blend_shiyan4 | | | 95.25 422 | 94.39 429 | 97.84 399 | 96.70 472 | 95.92 405 | 98.84 431 | 99.28 350 | 92.21 461 | 98.16 407 | 97.84 466 | 87.10 447 | 99.07 414 | 97.53 327 | 81.87 481 | 98.54 415 |
|
| ET-MVSNet_ETH3D | | | 96.49 393 | 95.64 407 | 99.05 239 | 99.53 221 | 98.82 232 | 98.84 431 | 97.51 480 | 97.63 269 | 84.77 489 | 99.21 389 | 92.09 369 | 98.91 445 | 98.98 140 | 92.21 451 | 99.41 265 |
|
| our_test_3 | | | 97.65 345 | 97.68 302 | 97.55 421 | 98.62 432 | 94.97 439 | 98.84 431 | 99.30 344 | 96.83 351 | 98.19 405 | 99.34 362 | 97.01 150 | 99.02 425 | 95.00 430 | 96.01 383 | 98.64 383 |
|
| MS-PatchMatch | | | 97.24 376 | 97.32 354 | 96.99 436 | 98.45 443 | 93.51 466 | 98.82 434 | 99.32 335 | 97.41 299 | 98.13 409 | 99.30 373 | 88.99 421 | 99.56 325 | 95.68 415 | 99.80 125 | 97.90 467 |
|
| c3_l | | | 98.12 260 | 98.04 258 | 98.38 346 | 99.30 302 | 97.69 319 | 98.81 435 | 99.33 325 | 96.67 360 | 98.83 336 | 99.34 362 | 97.11 142 | 98.99 431 | 97.58 319 | 95.34 404 | 98.48 423 |
|
| ppachtmachnet_test | | | 97.49 362 | 97.45 330 | 97.61 419 | 98.62 432 | 95.24 431 | 98.80 436 | 99.46 240 | 96.11 406 | 98.22 403 | 99.62 267 | 96.45 182 | 98.97 439 | 93.77 444 | 95.97 388 | 98.61 401 |
|
| PAPR | | | 98.63 220 | 98.34 231 | 99.51 146 | 99.40 274 | 99.03 176 | 98.80 436 | 99.36 305 | 96.33 387 | 99.00 306 | 99.12 399 | 98.46 88 | 99.84 199 | 95.23 426 | 99.37 190 | 99.66 170 |
|
| test0.0.03 1 | | | 97.71 335 | 97.42 340 | 98.56 319 | 98.41 445 | 97.82 311 | 98.78 438 | 98.63 452 | 97.34 304 | 98.05 414 | 98.98 416 | 94.45 297 | 98.98 432 | 95.04 429 | 97.15 360 | 98.89 325 |
|
| PVSNet_Blended | | | 99.08 148 | 98.97 142 | 99.42 181 | 99.76 82 | 98.79 235 | 98.78 438 | 99.91 3 | 96.74 355 | 99.67 125 | 99.49 314 | 97.53 122 | 99.88 168 | 98.98 140 | 99.85 93 | 99.60 197 |
|
| PMMVS | | | 98.80 201 | 98.62 209 | 99.34 193 | 99.27 311 | 98.70 243 | 98.76 440 | 99.31 339 | 97.34 304 | 99.21 262 | 99.07 401 | 97.20 137 | 99.82 230 | 98.56 217 | 98.87 253 | 99.52 227 |
|
| test123 | | | 39.01 467 | 42.50 469 | 28.53 484 | 39.17 507 | 20.91 509 | 98.75 441 | 19.17 509 | 19.83 502 | 38.57 501 | 66.67 499 | 33.16 503 | 15.42 503 | 37.50 502 | 29.66 501 | 49.26 498 |
|
| MSDG | | | 98.98 170 | 98.80 179 | 99.53 134 | 99.76 82 | 99.19 151 | 98.75 441 | 99.55 99 | 97.25 312 | 99.47 187 | 99.77 186 | 97.82 116 | 99.87 175 | 96.93 377 | 99.90 56 | 99.54 221 |
|
| CLD-MVS | | | 98.16 255 | 98.10 249 | 98.33 349 | 99.29 306 | 96.82 372 | 98.75 441 | 99.44 260 | 97.83 243 | 99.13 278 | 99.55 291 | 92.92 342 | 99.67 299 | 98.32 247 | 97.69 323 | 98.48 423 |
| 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 | | | 98.18 253 | 98.10 249 | 98.41 342 | 99.23 322 | 97.72 315 | 98.72 444 | 99.31 339 | 96.60 370 | 98.88 325 | 99.29 375 | 97.29 132 | 99.13 403 | 97.60 317 | 95.99 385 | 98.38 436 |
|
| cl____ | | | 98.01 281 | 97.84 281 | 98.55 321 | 99.25 318 | 97.97 299 | 98.71 445 | 99.34 317 | 96.47 381 | 98.59 375 | 99.54 296 | 95.65 226 | 99.21 392 | 97.21 356 | 95.77 391 | 98.46 428 |
|
| DIV-MVS_self_test | | | 98.01 281 | 97.85 280 | 98.48 328 | 99.24 320 | 97.95 304 | 98.71 445 | 99.35 312 | 96.50 375 | 98.60 374 | 99.54 296 | 95.72 224 | 99.03 421 | 97.21 356 | 95.77 391 | 98.46 428 |
|
| test-LLR | | | 98.06 268 | 97.90 273 | 98.55 321 | 98.79 406 | 97.10 342 | 98.67 447 | 97.75 472 | 97.34 304 | 98.61 372 | 98.85 426 | 94.45 297 | 99.45 336 | 97.25 354 | 99.38 183 | 99.10 297 |
|
| TESTMET0.1,1 | | | 97.55 351 | 97.27 362 | 98.40 344 | 98.93 386 | 96.53 384 | 98.67 447 | 97.61 477 | 96.96 340 | 98.64 366 | 99.28 377 | 88.63 430 | 99.45 336 | 97.30 350 | 99.38 183 | 99.21 292 |
|
| test-mter | | | 97.49 362 | 97.13 369 | 98.55 321 | 98.79 406 | 97.10 342 | 98.67 447 | 97.75 472 | 96.65 362 | 98.61 372 | 98.85 426 | 88.23 434 | 99.45 336 | 97.25 354 | 99.38 183 | 99.10 297 |
|
| mvs5depth | | | 96.66 389 | 96.22 393 | 97.97 383 | 97.00 469 | 96.28 393 | 98.66 450 | 99.03 397 | 96.61 367 | 96.93 447 | 99.79 170 | 87.20 444 | 99.47 332 | 96.65 392 | 94.13 427 | 98.16 448 |
|
| IB-MVS | | 95.67 18 | 96.22 397 | 95.44 411 | 98.57 315 | 99.21 327 | 96.70 375 | 98.65 451 | 97.74 474 | 96.71 357 | 97.27 436 | 98.54 441 | 86.03 455 | 99.92 123 | 98.47 227 | 86.30 472 | 99.10 297 |
| 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 | | | 98.95 174 | 98.71 192 | 99.66 92 | 99.63 169 | 99.55 97 | 98.64 452 | 99.10 385 | 97.93 229 | 99.42 201 | 99.55 291 | 98.67 73 | 99.80 242 | 95.80 411 | 99.68 156 | 99.61 194 |
|
| thisisatest0515 | | | 98.14 257 | 97.79 285 | 99.19 224 | 99.50 242 | 98.50 268 | 98.61 453 | 96.82 485 | 96.95 342 | 99.54 175 | 99.43 332 | 91.66 382 | 99.86 182 | 98.08 271 | 99.51 174 | 99.22 291 |
|
| DeepPCF-MVS | | 98.18 3 | 98.81 198 | 99.37 43 | 97.12 433 | 99.60 195 | 91.75 475 | 98.61 453 | 99.44 260 | 99.35 25 | 99.83 64 | 99.85 86 | 98.70 70 | 99.81 235 | 99.02 137 | 99.91 45 | 99.81 79 |
|
| cl22 | | | 97.85 304 | 97.64 308 | 98.48 328 | 99.09 359 | 97.87 308 | 98.60 455 | 99.33 325 | 97.11 327 | 98.87 328 | 99.22 386 | 92.38 365 | 99.17 397 | 98.21 254 | 95.99 385 | 98.42 431 |
|
| usedtu_dtu_shiyan1 | | | 98.09 262 | 97.82 282 | 98.89 268 | 98.70 423 | 98.90 211 | 98.57 456 | 99.47 227 | 96.78 352 | 98.87 328 | 99.05 404 | 94.75 274 | 99.23 381 | 97.45 338 | 96.74 364 | 98.53 417 |
|
| FE-MVSNET3 | | | 98.09 262 | 97.82 282 | 98.89 268 | 98.70 423 | 98.90 211 | 98.57 456 | 99.47 227 | 96.78 352 | 98.87 328 | 99.05 404 | 94.75 274 | 99.23 381 | 97.45 338 | 96.74 364 | 98.53 417 |
|
| GA-MVS | | | 97.85 304 | 97.47 327 | 99.00 245 | 99.38 280 | 97.99 298 | 98.57 456 | 99.15 379 | 97.04 335 | 98.90 322 | 99.30 373 | 89.83 413 | 99.38 351 | 96.70 387 | 98.33 286 | 99.62 192 |
|
| TinyColmap | | | 97.12 379 | 96.89 378 | 97.83 402 | 99.07 363 | 95.52 422 | 98.57 456 | 98.74 439 | 97.58 275 | 97.81 425 | 99.79 170 | 88.16 435 | 99.56 325 | 95.10 427 | 97.21 357 | 98.39 435 |
|
| gbinet_0.2-2-1-0.02 | | | 95.40 418 | 94.58 425 | 97.85 396 | 96.11 480 | 95.97 402 | 98.56 460 | 99.26 359 | 92.12 467 | 98.47 383 | 97.49 474 | 90.23 408 | 99.00 429 | 97.71 309 | 81.25 483 | 98.58 411 |
|
| eth_miper_zixun_eth | | | 98.05 273 | 97.96 266 | 98.33 349 | 99.26 314 | 97.38 329 | 98.56 460 | 99.31 339 | 96.65 362 | 98.88 325 | 99.52 304 | 96.58 174 | 99.12 408 | 97.39 343 | 95.53 401 | 98.47 425 |
|
| CMPMVS |  | 69.68 23 | 94.13 437 | 94.90 417 | 91.84 466 | 97.24 464 | 80.01 496 | 98.52 462 | 99.48 205 | 89.01 478 | 91.99 483 | 99.67 243 | 85.67 457 | 99.13 403 | 95.44 420 | 97.03 362 | 96.39 484 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| USDC | | | 97.34 369 | 97.20 364 | 97.75 409 | 99.07 363 | 95.20 432 | 98.51 463 | 99.04 395 | 97.99 224 | 98.31 396 | 99.86 79 | 89.02 420 | 99.55 327 | 95.67 416 | 97.36 352 | 98.49 422 |
|
| wanda-best-256-512 | | | 95.43 415 | 94.66 421 | 97.77 407 | 96.45 475 | 95.68 414 | 98.48 464 | 99.28 350 | 92.18 463 | 98.36 391 | 97.68 468 | 91.20 394 | 99.03 421 | 97.31 347 | 80.97 486 | 98.60 404 |
|
| FE-blended-shiyan7 | | | 95.43 415 | 94.66 421 | 97.77 407 | 96.45 475 | 95.68 414 | 98.48 464 | 99.28 350 | 92.18 463 | 98.36 391 | 97.68 468 | 91.20 394 | 99.03 421 | 97.31 347 | 80.97 486 | 98.60 404 |
|
| ambc | | | | | 93.06 464 | 92.68 495 | 82.36 489 | 98.47 466 | 98.73 445 | | 95.09 465 | 97.41 475 | 55.55 495 | 99.10 412 | 96.42 397 | 91.32 454 | 97.71 468 |
|
| miper_enhance_ethall | | | 98.16 255 | 98.08 253 | 98.41 342 | 98.96 384 | 97.72 315 | 98.45 467 | 99.32 335 | 96.95 342 | 98.97 311 | 99.17 391 | 97.06 146 | 99.22 387 | 97.86 288 | 95.99 385 | 98.29 440 |
|
| CHOSEN 280x420 | | | 99.12 134 | 99.13 94 | 99.08 235 | 99.66 149 | 97.89 307 | 98.43 468 | 99.71 16 | 98.88 84 | 99.62 152 | 99.76 190 | 96.63 170 | 99.70 290 | 99.46 67 | 99.99 1 | 99.66 170 |
|
| testmvs | | | 39.17 466 | 43.78 468 | 25.37 485 | 36.04 508 | 16.84 510 | 98.36 469 | 26.56 507 | 20.06 501 | 38.51 502 | 67.32 498 | 29.64 504 | 15.30 504 | 37.59 501 | 39.90 500 | 43.98 499 |
|
| FPMVS | | | 84.93 457 | 85.65 458 | 82.75 480 | 86.77 501 | 63.39 506 | 98.35 470 | 98.92 410 | 74.11 492 | 83.39 491 | 98.98 416 | 50.85 498 | 92.40 495 | 84.54 490 | 94.97 412 | 92.46 490 |
|
| KD-MVS_2432*1600 | | | 94.62 432 | 93.72 439 | 97.31 427 | 97.19 466 | 95.82 411 | 98.34 471 | 99.20 373 | 95.00 428 | 97.57 428 | 98.35 448 | 87.95 437 | 98.10 465 | 92.87 458 | 77.00 493 | 98.01 457 |
|
| miper_refine_blended | | | 94.62 432 | 93.72 439 | 97.31 427 | 97.19 466 | 95.82 411 | 98.34 471 | 99.20 373 | 95.00 428 | 97.57 428 | 98.35 448 | 87.95 437 | 98.10 465 | 92.87 458 | 77.00 493 | 98.01 457 |
|
| CL-MVSNet_self_test | | | 94.49 434 | 93.97 436 | 96.08 451 | 96.16 479 | 93.67 463 | 98.33 473 | 99.38 294 | 95.13 421 | 97.33 435 | 98.15 456 | 92.69 353 | 96.57 485 | 88.67 475 | 79.87 491 | 97.99 461 |
|
| PVSNet | | 96.02 17 | 98.85 194 | 98.84 176 | 98.89 268 | 99.73 107 | 97.28 332 | 98.32 474 | 99.60 67 | 97.86 236 | 99.50 182 | 99.57 285 | 96.75 165 | 99.86 182 | 98.56 217 | 99.70 152 | 99.54 221 |
|
| PAPM | | | 97.59 349 | 97.09 371 | 99.07 236 | 99.06 365 | 98.26 282 | 98.30 475 | 99.10 385 | 94.88 430 | 98.08 410 | 99.34 362 | 96.27 193 | 99.64 311 | 89.87 471 | 98.92 246 | 99.31 281 |
|
| Patchmatch-RL test | | | 95.84 406 | 95.81 404 | 95.95 452 | 95.61 483 | 90.57 479 | 98.24 476 | 98.39 458 | 95.10 425 | 95.20 462 | 98.67 436 | 94.78 269 | 97.77 473 | 96.28 402 | 90.02 462 | 99.51 236 |
|
| UnsupCasMVSNet_bld | | | 93.53 441 | 92.51 447 | 96.58 447 | 97.38 460 | 93.82 458 | 98.24 476 | 99.48 205 | 91.10 472 | 93.10 478 | 96.66 482 | 74.89 486 | 98.37 460 | 94.03 443 | 87.71 470 | 97.56 474 |
|
| LCM-MVSNet | | | 86.80 456 | 85.22 460 | 91.53 468 | 87.81 500 | 80.96 494 | 98.23 478 | 98.99 401 | 71.05 493 | 90.13 488 | 96.51 485 | 48.45 500 | 96.88 484 | 90.51 468 | 85.30 473 | 96.76 480 |
|
| cascas | | | 97.69 337 | 97.43 339 | 98.48 328 | 98.60 435 | 97.30 331 | 98.18 479 | 99.39 286 | 92.96 456 | 98.41 387 | 98.78 433 | 93.77 326 | 99.27 374 | 98.16 260 | 98.61 268 | 98.86 326 |
|
| kuosan | | | 90.92 451 | 90.11 455 | 93.34 461 | 98.78 409 | 85.59 486 | 98.15 480 | 93.16 501 | 89.37 477 | 92.07 482 | 98.38 447 | 81.48 480 | 95.19 491 | 62.54 499 | 97.04 361 | 99.25 288 |
|
| Effi-MVS+ | | | 98.81 198 | 98.59 215 | 99.48 162 | 99.46 254 | 99.12 165 | 98.08 481 | 99.50 180 | 97.50 287 | 99.38 215 | 99.41 338 | 96.37 187 | 99.81 235 | 99.11 123 | 98.54 276 | 99.51 236 |
|
| PCF-MVS | | 97.08 14 | 97.66 344 | 97.06 372 | 99.47 168 | 99.61 189 | 99.09 167 | 98.04 482 | 99.25 362 | 91.24 471 | 98.51 379 | 99.70 218 | 94.55 291 | 99.91 135 | 92.76 460 | 99.85 93 | 99.42 262 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| PVSNet_0 | | 94.43 19 | 96.09 402 | 95.47 409 | 97.94 386 | 99.31 301 | 94.34 455 | 97.81 483 | 99.70 18 | 97.12 324 | 97.46 430 | 98.75 434 | 89.71 414 | 99.79 248 | 97.69 313 | 81.69 482 | 99.68 161 |
|
| E-PMN | | | 80.61 460 | 79.88 462 | 82.81 479 | 90.75 497 | 76.38 500 | 97.69 484 | 95.76 492 | 66.44 497 | 83.52 490 | 92.25 492 | 62.54 492 | 87.16 499 | 68.53 497 | 61.40 496 | 84.89 497 |
|
| dongtai | | | 93.26 442 | 92.93 446 | 94.25 457 | 99.39 277 | 85.68 485 | 97.68 485 | 93.27 499 | 92.87 457 | 96.85 448 | 99.39 346 | 82.33 477 | 97.48 478 | 76.78 492 | 97.80 319 | 99.58 212 |
|
| ANet_high | | | 77.30 462 | 74.86 466 | 84.62 478 | 75.88 504 | 77.61 498 | 97.63 486 | 93.15 502 | 88.81 479 | 64.27 499 | 89.29 496 | 36.51 502 | 83.93 501 | 75.89 494 | 52.31 498 | 92.33 492 |
|
| 0.4-1-1-0.1 | | | 95.23 423 | 94.22 431 | 98.26 360 | 97.39 459 | 95.86 410 | 97.59 487 | 97.62 475 | 93.85 443 | 94.97 467 | 97.03 480 | 87.20 444 | 99.87 175 | 98.47 227 | 83.84 475 | 99.05 309 |
|
| EMVS | | | 80.02 461 | 79.22 463 | 82.43 481 | 91.19 496 | 76.40 499 | 97.55 488 | 92.49 504 | 66.36 498 | 83.01 492 | 91.27 494 | 64.63 491 | 85.79 500 | 65.82 498 | 60.65 497 | 85.08 496 |
|
| 0.3-1-1-0.015 | | | 94.79 431 | 93.69 442 | 98.10 372 | 96.99 470 | 95.46 424 | 97.02 489 | 97.61 477 | 93.53 447 | 94.03 473 | 96.54 484 | 85.60 459 | 99.86 182 | 98.43 234 | 83.45 479 | 98.99 317 |
|
| MVE |  | 76.82 21 | 76.91 463 | 74.31 467 | 84.70 477 | 85.38 503 | 76.05 501 | 96.88 490 | 93.17 500 | 67.39 496 | 71.28 498 | 89.01 497 | 21.66 507 | 87.69 498 | 71.74 496 | 72.29 495 | 90.35 494 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| 0.4-1-1-0.2 | | | 94.94 430 | 93.92 437 | 97.99 381 | 96.84 471 | 95.13 436 | 96.64 491 | 97.62 475 | 93.45 451 | 94.92 468 | 96.56 483 | 87.14 446 | 99.86 182 | 98.43 234 | 83.69 478 | 98.98 318 |
|
| test_method | | | 91.10 449 | 91.36 450 | 90.31 471 | 95.85 481 | 73.72 504 | 94.89 492 | 99.25 362 | 68.39 495 | 95.82 458 | 99.02 410 | 80.50 483 | 98.95 442 | 93.64 447 | 94.89 416 | 98.25 443 |
|
| Gipuma |  | | 90.99 450 | 90.15 454 | 93.51 460 | 98.73 418 | 90.12 480 | 93.98 493 | 99.45 251 | 79.32 491 | 92.28 481 | 94.91 488 | 69.61 488 | 97.98 469 | 87.42 482 | 95.67 395 | 92.45 491 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| PMVS |  | 70.75 22 | 75.98 464 | 74.97 465 | 79.01 482 | 70.98 505 | 55.18 507 | 93.37 494 | 98.21 465 | 65.08 499 | 61.78 500 | 93.83 490 | 21.74 506 | 92.53 494 | 78.59 491 | 91.12 457 | 89.34 495 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| tmp_tt | | | 82.80 458 | 81.52 461 | 86.66 476 | 66.61 506 | 68.44 505 | 92.79 495 | 97.92 469 | 68.96 494 | 80.04 497 | 99.85 86 | 85.77 456 | 96.15 489 | 97.86 288 | 43.89 499 | 95.39 489 |
|
| wuyk23d | | | 40.18 465 | 41.29 470 | 36.84 483 | 86.18 502 | 49.12 508 | 79.73 496 | 22.81 508 | 27.64 500 | 25.46 503 | 28.45 503 | 21.98 505 | 48.89 502 | 55.80 500 | 23.56 502 | 12.51 500 |
|
| mmdepth | | | 0.02 472 | 0.03 475 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.27 505 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| monomultidepth | | | 0.02 472 | 0.03 475 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.27 505 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| test_blank | | | 0.13 471 | 0.17 474 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 1.57 504 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| uanet_test | | | 0.02 472 | 0.03 475 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.27 505 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| DCPMVS | | | 0.02 472 | 0.03 475 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.27 505 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| cdsmvs_eth3d_5k | | | 24.64 468 | 32.85 471 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 99.51 156 | 0.00 504 | 0.00 505 | 99.56 288 | 96.58 174 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| pcd_1.5k_mvsjas | | | 8.27 470 | 11.03 473 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.27 505 | 99.01 20 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| sosnet-low-res | | | 0.02 472 | 0.03 475 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.27 505 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| sosnet | | | 0.02 472 | 0.03 475 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.27 505 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| uncertanet | | | 0.02 472 | 0.03 475 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.27 505 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| Regformer | | | 0.02 472 | 0.03 475 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.27 505 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| ab-mvs-re | | | 8.30 469 | 11.06 472 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 99.58 280 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| uanet | | | 0.02 472 | 0.03 475 | 0.00 486 | 0.00 509 | 0.00 511 | 0.00 497 | 0.00 510 | 0.00 504 | 0.00 505 | 0.27 505 | 0.00 508 | 0.00 505 | 0.00 503 | 0.00 503 | 0.00 501 |
|
| WAC-MVS | | | | | | | 97.16 339 | | | | | | | | 95.47 419 | | |
|
| MSC_two_6792asdad | | | | | 99.87 21 | 99.51 230 | 99.76 49 | | 99.33 325 | | | | | 99.96 41 | 98.87 160 | 99.84 101 | 99.89 29 |
|
| PC_three_1452 | | | | | | | | | | 98.18 175 | 99.84 55 | 99.70 218 | 99.31 3 | 98.52 458 | 98.30 249 | 99.80 125 | 99.81 79 |
|
| No_MVS | | | | | 99.87 21 | 99.51 230 | 99.76 49 | | 99.33 325 | | | | | 99.96 41 | 98.87 160 | 99.84 101 | 99.89 29 |
|
| test_one_0601 | | | | | | 99.81 57 | 99.88 10 | | 99.49 193 | 98.97 76 | 99.65 140 | 99.81 135 | 99.09 16 | | | | |
|
| eth-test2 | | | | | | 0.00 509 | | | | | | | | | | | |
|
| eth-test | | | | | | 0.00 509 | | | | | | | | | | | |
|
| ZD-MVS | | | | | | 99.71 117 | 99.79 41 | | 99.61 60 | 96.84 349 | 99.56 168 | 99.54 296 | 98.58 79 | 99.96 41 | 96.93 377 | 99.75 142 | |
|
| IU-MVS | | | | | | 99.84 38 | 99.88 10 | | 99.32 335 | 98.30 150 | 99.84 55 | | | | 98.86 165 | 99.85 93 | 99.89 29 |
|
| test_241102_TWO | | | | | | | | | 99.48 205 | 99.08 56 | 99.88 42 | 99.81 135 | 98.94 34 | 99.96 41 | 98.91 154 | 99.84 101 | 99.88 35 |
|
| test_241102_ONE | | | | | | 99.84 38 | 99.90 3 | | 99.48 205 | 99.07 58 | 99.91 30 | 99.74 201 | 99.20 9 | 99.76 261 | | | |
|
| test_0728_THIRD | | | | | | | | | | 98.99 69 | 99.81 69 | 99.80 153 | 99.09 16 | 99.96 41 | 98.85 167 | 99.90 56 | 99.88 35 |
|
| GSMVS | | | | | | | | | | | | | | | | | 99.52 227 |
|
| test_part2 | | | | | | 99.81 57 | 99.83 22 | | | | 99.77 85 | | | | | | |
|
| sam_mvs1 | | | | | | | | | | | | | 94.86 262 | | | | 99.52 227 |
|
| sam_mvs | | | | | | | | | | | | | 94.72 278 | | | | |
|
| MTGPA |  | | | | | | | | 99.47 227 | | | | | | | | |
|
| test_post | | | | | | | | | | | | 65.99 500 | 94.65 285 | 99.73 273 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 98.70 435 | 94.79 268 | 99.74 267 | | | |
|
| gm-plane-assit | | | | | | 98.54 440 | 92.96 469 | | | 94.65 436 | | 99.15 394 | | 99.64 311 | 97.56 324 | | |
|
| test9_res | | | | | | | | | | | | | | | 97.49 332 | 99.72 148 | 99.75 113 |
|
| agg_prior2 | | | | | | | | | | | | | | | 97.21 356 | 99.73 147 | 99.75 113 |
|
| agg_prior | | | | | | 99.67 137 | 99.62 83 | | 99.40 283 | | 98.87 328 | | | 99.91 135 | | | |
|
| TestCases | | | | | 99.31 201 | 99.86 25 | 98.48 271 | | 99.61 60 | 97.85 239 | 99.36 223 | 99.85 86 | 95.95 208 | 99.85 190 | 96.66 390 | 99.83 113 | 99.59 208 |
|
| test_prior | | | | | 99.68 90 | 99.67 137 | 99.48 112 | | 99.56 89 | | | | | 99.83 221 | | | 99.74 118 |
|
| æ–°å‡ ä½•1 | | | | | 99.75 77 | 99.75 92 | 99.59 89 | | 99.54 108 | 96.76 354 | 99.29 240 | 99.64 256 | 98.43 90 | 99.94 92 | 96.92 379 | 99.66 159 | 99.72 138 |
|
| 旧先验1 | | | | | | 99.74 100 | 99.59 89 | | 99.54 108 | | | 99.69 229 | 98.47 87 | | | 99.68 156 | 99.73 128 |
|
| 原ACMM1 | | | | | 99.65 96 | 99.73 107 | 99.33 131 | | 99.47 227 | 97.46 289 | 99.12 280 | 99.66 248 | 98.67 73 | 99.91 135 | 97.70 312 | 99.69 153 | 99.71 149 |
|
| testdata2 | | | | | | | | | | | | | | 99.95 76 | 96.67 389 | | |
|
| segment_acmp | | | | | | | | | | | | | 98.96 27 | | | | |
|
| testdata | | | | | 99.54 126 | 99.75 92 | 98.95 195 | | 99.51 156 | 97.07 330 | 99.43 198 | 99.70 218 | 98.87 42 | 99.94 92 | 97.76 302 | 99.64 162 | 99.72 138 |
|
| test12 | | | | | 99.75 77 | 99.64 165 | 99.61 86 | | 99.29 348 | | 99.21 262 | | 98.38 95 | 99.89 163 | | 99.74 145 | 99.74 118 |
|
| plane_prior7 | | | | | | 99.29 306 | 97.03 354 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 99.27 311 | 96.98 358 | | | | | | 92.71 351 | | | | |
|
| plane_prior5 | | | | | | | | | 99.47 227 | | | | | 99.69 296 | 97.78 298 | 97.63 325 | 98.67 370 |
|
| plane_prior4 | | | | | | | | | | | | 99.61 271 | | | | | |
|
| plane_prior3 | | | | | | | 97.00 356 | | | 98.69 108 | 99.11 282 | | | | | | |
|
| plane_prior1 | | | | | | 99.26 314 | | | | | | | | | | | |
|
| n2 | | | | | | | | | 0.00 510 | | | | | | | | |
|
| nn | | | | | | | | | 0.00 510 | | | | | | | | |
|
| door-mid | | | | | | | | | 98.05 468 | | | | | | | | |
|
| lessismore_v0 | | | | | 97.79 406 | 98.69 426 | 95.44 427 | | 94.75 495 | | 95.71 459 | 99.87 70 | 88.69 426 | 99.32 366 | 95.89 408 | 94.93 414 | 98.62 392 |
|
| LGP-MVS_train | | | | | 98.49 326 | 99.33 293 | 97.05 348 | | 99.55 99 | 97.46 289 | 99.24 254 | 99.83 107 | 92.58 356 | 99.72 277 | 98.09 267 | 97.51 337 | 98.68 362 |
|
| test11 | | | | | | | | | 99.35 312 | | | | | | | | |
|
| door | | | | | | | | | 97.92 469 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 96.83 370 | | | | | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 97.19 360 | | |
|
| HQP4-MVS | | | | | | | | | | | 98.66 359 | | | 99.64 311 | | | 98.64 383 |
|
| HQP3-MVS | | | | | | | | | 99.39 286 | | | | | | | 97.58 330 | |
|
| HQP2-MVS | | | | | | | | | | | | | 92.47 360 | | | | |
|
| NP-MVS | | | | | | 99.23 322 | 96.92 366 | | | | | 99.40 342 | | | | | |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 97.19 358 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 97.43 348 | |
|
| Test By Simon | | | | | | | | | | | | | 98.75 61 | | | | |
|
| ITE_SJBPF | | | | | 98.08 373 | 99.29 306 | 96.37 389 | | 98.92 410 | 98.34 144 | 98.83 336 | 99.75 195 | 91.09 397 | 99.62 318 | 95.82 409 | 97.40 350 | 98.25 443 |
|
| DeepMVS_CX |  | | | | 93.34 461 | 99.29 306 | 82.27 490 | | 99.22 368 | 85.15 487 | 96.33 452 | 99.05 404 | 90.97 399 | 99.73 273 | 93.57 448 | 97.77 321 | 98.01 457 |
|