| LTVRE_ROB | | 98.40 1 | 99.67 3 | 99.71 2 | 99.56 26 | 99.85 16 | 99.11 64 | 99.90 1 | 99.78 36 | 99.63 28 | 99.78 39 | 99.67 30 | 99.48 10 | 99.81 224 | 99.30 62 | 99.97 21 | 99.77 53 |
| 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 |
| 3Dnovator | | 98.27 2 | 98.81 127 | 98.73 130 | 99.05 143 | 98.76 349 | 97.81 202 | 99.25 43 | 99.30 249 | 98.57 174 | 98.55 305 | 99.33 118 | 97.95 140 | 99.90 81 | 97.16 251 | 99.67 243 | 99.44 208 |
|
| 3Dnovator+ | | 97.89 3 | 98.69 151 | 98.51 171 | 99.24 106 | 98.81 342 | 98.40 120 | 99.02 70 | 99.19 287 | 98.99 124 | 98.07 353 | 99.28 129 | 97.11 216 | 99.84 177 | 96.84 286 | 99.32 351 | 99.47 195 |
|
| DeepC-MVS | | 97.60 4 | 98.97 99 | 98.93 101 | 99.10 128 | 99.35 197 | 97.98 174 | 98.01 213 | 99.46 172 | 97.56 270 | 99.54 79 | 99.50 68 | 98.97 29 | 99.84 177 | 98.06 162 | 99.92 71 | 99.49 176 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| DeepPCF-MVS | | 96.93 5 | 98.32 221 | 98.01 256 | 99.23 108 | 98.39 413 | 98.97 73 | 95.03 466 | 99.18 291 | 96.88 339 | 99.33 137 | 98.78 287 | 98.16 122 | 99.28 472 | 96.74 295 | 99.62 265 | 99.44 208 |
|
| DeepC-MVS_fast | | 96.85 6 | 98.30 226 | 98.15 241 | 98.75 211 | 98.61 383 | 97.23 256 | 97.76 256 | 99.09 311 | 97.31 302 | 98.75 268 | 98.66 318 | 97.56 177 | 99.64 367 | 96.10 356 | 99.55 294 | 99.39 230 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| OpenMVS |  | 96.65 7 | 97.09 350 | 96.68 363 | 98.32 291 | 98.32 417 | 97.16 269 | 98.86 92 | 99.37 212 | 89.48 515 | 96.29 468 | 99.15 175 | 96.56 254 | 99.90 81 | 92.90 457 | 99.20 376 | 97.89 463 |
|
| ACMH | | 96.65 7 | 99.25 40 | 99.24 53 | 99.26 101 | 99.72 45 | 98.38 122 | 99.07 65 | 99.55 124 | 98.30 194 | 99.65 63 | 99.45 84 | 99.22 17 | 99.76 270 | 98.44 131 | 99.77 172 | 99.64 86 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| ACMH+ | | 96.62 9 | 99.08 79 | 99.00 94 | 99.33 89 | 99.71 49 | 98.83 86 | 98.60 121 | 99.58 101 | 99.11 100 | 99.53 83 | 99.18 163 | 98.81 39 | 99.67 342 | 96.71 300 | 99.77 172 | 99.50 168 |
|
| COLMAP_ROB |  | 96.50 10 | 98.99 94 | 98.85 118 | 99.41 69 | 99.58 94 | 99.10 65 | 98.74 99 | 99.56 119 | 99.09 110 | 99.33 137 | 99.19 159 | 98.40 86 | 99.72 306 | 95.98 359 | 99.76 188 | 99.42 217 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| TAPA-MVS | | 96.21 11 | 96.63 374 | 95.95 397 | 98.65 230 | 98.93 313 | 98.09 155 | 96.93 356 | 99.28 261 | 83.58 533 | 98.13 347 | 97.78 421 | 96.13 278 | 99.40 452 | 93.52 440 | 99.29 359 | 98.45 428 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| ACMM | | 96.08 12 | 98.91 106 | 98.73 130 | 99.48 57 | 99.55 117 | 99.14 57 | 98.07 200 | 99.37 212 | 97.62 261 | 99.04 201 | 98.96 240 | 98.84 37 | 99.79 246 | 97.43 231 | 99.65 253 | 99.49 176 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| HY-MVS | | 95.94 13 | 95.90 415 | 95.35 423 | 97.55 384 | 97.95 450 | 94.79 395 | 98.81 98 | 96.94 465 | 92.28 491 | 95.17 494 | 98.57 336 | 89.90 430 | 99.75 282 | 91.20 493 | 97.33 494 | 98.10 452 |
|
| OpenMVS_ROB |  | 95.38 14 | 95.84 418 | 95.18 434 | 97.81 348 | 98.41 412 | 97.15 270 | 97.37 319 | 98.62 391 | 83.86 532 | 98.65 283 | 98.37 363 | 94.29 354 | 99.68 337 | 88.41 512 | 98.62 438 | 96.60 504 |
|
| ACMP | | 95.32 15 | 98.41 203 | 98.09 246 | 99.36 74 | 99.51 134 | 98.79 89 | 97.68 268 | 99.38 208 | 95.76 403 | 98.81 258 | 98.82 279 | 98.36 90 | 99.82 207 | 94.75 399 | 99.77 172 | 99.48 187 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| PLC |  | 94.65 16 | 96.51 379 | 95.73 403 | 98.85 180 | 98.75 351 | 97.91 185 | 96.42 395 | 99.06 315 | 90.94 507 | 95.59 482 | 97.38 449 | 94.41 346 | 99.59 391 | 90.93 498 | 98.04 470 | 99.05 342 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| PVSNet | | 93.40 17 | 95.67 422 | 95.70 404 | 95.57 480 | 98.83 336 | 88.57 513 | 92.50 523 | 97.72 432 | 92.69 486 | 96.49 465 | 96.44 474 | 93.72 370 | 99.43 448 | 93.61 435 | 99.28 360 | 98.71 404 |
|
| PCF-MVS | | 92.86 18 | 94.36 452 | 93.00 471 | 98.42 279 | 98.70 363 | 97.56 223 | 93.16 520 | 99.11 308 | 79.59 537 | 97.55 395 | 97.43 446 | 92.19 401 | 99.73 296 | 79.85 534 | 99.45 322 | 97.97 460 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| IB-MVS | | 91.63 19 | 92.24 491 | 90.90 495 | 96.27 448 | 97.22 493 | 91.24 490 | 94.36 491 | 93.33 521 | 92.37 489 | 92.24 528 | 94.58 513 | 66.20 532 | 99.89 97 | 93.16 451 | 94.63 527 | 97.66 478 |
| 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 |
| PMVS |  | 91.26 20 | 97.86 282 | 97.94 266 | 97.65 369 | 99.71 49 | 97.94 181 | 98.52 130 | 98.68 385 | 98.99 124 | 97.52 398 | 99.35 111 | 97.41 194 | 98.18 509 | 91.59 486 | 99.67 243 | 96.82 500 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| PVSNet_0 | | 89.98 21 | 91.15 497 | 90.30 499 | 93.70 509 | 97.72 463 | 84.34 534 | 90.24 530 | 97.42 442 | 90.20 511 | 93.79 517 | 93.09 523 | 90.90 422 | 98.89 496 | 86.57 521 | 72.76 542 | 97.87 465 |
|
| MVE |  | 83.40 22 | 92.50 486 | 91.92 488 | 94.25 500 | 98.83 336 | 91.64 478 | 92.71 521 | 83.52 544 | 95.92 392 | 86.46 539 | 95.46 497 | 95.20 318 | 95.40 536 | 80.51 533 | 98.64 434 | 95.73 516 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| CMPMVS |  | 75.91 23 | 96.29 394 | 95.44 418 | 98.84 186 | 96.25 523 | 98.69 98 | 97.02 347 | 99.12 306 | 88.90 519 | 97.83 375 | 98.86 266 | 89.51 435 | 98.90 495 | 91.92 478 | 99.51 306 | 98.92 370 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| nocashy02 | | | 98.57 177 | 98.66 146 | 98.31 293 | 99.20 242 | 95.89 338 | 96.92 358 | 99.57 109 | 98.71 158 | 99.02 205 | 99.04 208 | 97.48 190 | 99.71 308 | 98.28 145 | 99.70 226 | 99.35 256 |
|
| PMatch-SfM | | | 97.89 276 | 97.64 296 | 98.66 228 | 99.26 227 | 97.44 236 | 96.08 420 | 99.51 142 | 96.72 350 | 98.47 315 | 99.13 181 | 93.62 373 | 99.70 316 | 97.14 254 | 98.80 420 | 98.83 382 |
|
| DenseAffine | | | 98.10 253 | 97.86 275 | 98.84 186 | 99.32 204 | 97.93 182 | 96.62 379 | 99.76 39 | 96.68 354 | 98.65 283 | 98.72 299 | 94.46 344 | 99.33 463 | 96.76 292 | 99.75 192 | 99.25 294 |
|
| ArgMatch-SfM | | | 97.96 271 | 97.72 287 | 98.66 228 | 99.02 298 | 97.33 242 | 96.49 389 | 99.52 140 | 95.46 416 | 98.71 275 | 98.29 377 | 96.14 276 | 99.69 326 | 96.30 341 | 99.56 289 | 98.97 360 |
|
| MASt3R-SfM | | | 96.02 406 | 95.82 400 | 96.60 436 | 97.03 501 | 94.90 390 | 94.26 494 | 98.53 400 | 88.40 524 | 98.41 322 | 98.67 314 | 92.39 396 | 97.62 519 | 95.31 386 | 99.41 334 | 97.29 491 |
|
| hybridnocas07 | | | 98.32 221 | 98.37 200 | 98.17 310 | 99.14 264 | 95.51 354 | 96.67 374 | 99.56 119 | 97.85 242 | 98.75 268 | 98.95 244 | 96.65 250 | 99.63 370 | 98.00 170 | 99.78 164 | 99.37 242 |
|
| cashybrid2 | | | 99.12 69 | 99.12 71 | 99.09 132 | 99.53 127 | 98.08 159 | 98.34 163 | 99.66 70 | 99.35 64 | 99.35 130 | 99.23 150 | 98.39 88 | 99.72 306 | 98.46 129 | 99.81 140 | 99.47 195 |
|
| dtuonlycased | | | 97.70 297 | 98.19 234 | 96.24 450 | 99.75 34 | 89.51 510 | 94.69 478 | 99.64 78 | 98.23 201 | 99.46 101 | 98.57 336 | 98.25 107 | 99.85 158 | 95.65 376 | 99.44 329 | 99.36 250 |
|
| dtuonly | | | 96.49 382 | 97.28 318 | 94.10 503 | 98.80 345 | 83.27 537 | 93.66 510 | 99.48 157 | 95.10 429 | 97.87 370 | 98.30 374 | 95.61 304 | 99.68 337 | 96.98 271 | 99.75 192 | 99.33 266 |
|
| dtuplus | | | 98.32 221 | 98.39 195 | 98.10 318 | 99.15 262 | 95.29 372 | 96.68 372 | 99.51 142 | 97.32 300 | 99.18 179 | 99.15 175 | 97.61 172 | 99.62 374 | 97.19 248 | 99.74 195 | 99.38 239 |
|
| SIFT-UM-Cal | | | 96.49 382 | 96.62 370 | 96.12 461 | 98.13 441 | 97.89 188 | 93.35 516 | 98.44 405 | 95.48 415 | 98.63 286 | 98.34 367 | 95.45 312 | 97.45 520 | 92.22 475 | 99.50 314 | 93.02 531 |
|
| SIFT-NCM-Cal | | | 96.56 377 | 96.68 363 | 96.20 454 | 98.27 424 | 98.44 118 | 94.40 489 | 96.67 472 | 95.29 423 | 97.63 387 | 98.17 388 | 96.40 262 | 96.59 532 | 93.61 435 | 99.66 251 | 93.57 524 |
|
| SIFT-CM-Cal | | | 96.28 395 | 96.31 388 | 96.16 458 | 98.39 413 | 98.11 151 | 93.46 515 | 96.47 478 | 94.81 439 | 98.49 312 | 98.43 356 | 94.48 343 | 97.34 523 | 92.60 469 | 99.70 226 | 93.02 531 |
|
| SIFT-PCN-Cal | | | 96.34 390 | 96.46 382 | 96.01 465 | 98.17 435 | 96.89 288 | 93.48 514 | 97.35 447 | 94.84 437 | 99.35 130 | 98.30 374 | 94.70 338 | 97.92 513 | 92.03 476 | 99.88 95 | 93.21 530 |
|
| SIFT-NN-UMatch | | | 95.38 435 | 95.26 428 | 95.75 474 | 98.25 425 | 97.78 204 | 93.24 519 | 95.66 498 | 94.01 464 | 95.10 496 | 97.47 444 | 93.12 381 | 96.78 529 | 92.42 472 | 98.04 470 | 92.69 536 |
|
| SIFT-NN-NCMNet | | | 95.39 434 | 95.22 431 | 95.92 467 | 98.29 420 | 98.34 129 | 93.58 512 | 94.60 506 | 94.07 462 | 94.84 500 | 97.53 436 | 94.37 350 | 96.62 530 | 91.01 496 | 98.64 434 | 92.80 534 |
|
| SIFT-NN-CMatch | | | 95.63 425 | 95.48 414 | 96.08 462 | 98.24 427 | 98.00 169 | 92.71 521 | 94.29 510 | 94.20 456 | 95.85 478 | 97.26 454 | 95.72 301 | 97.01 525 | 91.99 477 | 99.02 400 | 93.23 528 |
|
| SIFT-NN-PointCN | | | 96.06 403 | 96.11 394 | 95.91 468 | 97.88 454 | 97.73 210 | 93.49 513 | 97.51 441 | 93.22 474 | 96.57 455 | 98.26 379 | 96.23 273 | 96.60 531 | 92.54 470 | 99.27 361 | 93.40 526 |
|
| XFeat-NN | | | 89.63 499 | 89.13 502 | 91.14 520 | 90.93 544 | 90.02 507 | 84.90 537 | 94.05 516 | 88.10 525 | 92.89 523 | 93.33 522 | 78.74 506 | 90.89 541 | 83.46 527 | 95.72 521 | 92.52 537 |
|
| ALIKED-NN | | | 94.29 456 | 93.41 465 | 96.94 420 | 96.18 524 | 97.66 215 | 94.90 470 | 98.68 385 | 88.85 520 | 90.43 532 | 96.81 465 | 89.82 431 | 96.59 532 | 86.67 520 | 98.33 448 | 96.58 505 |
|
| SP-NN | | | 94.67 448 | 94.44 450 | 95.36 488 | 95.12 532 | 95.23 377 | 94.27 493 | 96.10 485 | 94.46 447 | 90.91 531 | 95.76 489 | 91.47 415 | 93.87 539 | 95.23 389 | 96.62 505 | 97.00 495 |
|
| SIFT-NN | | | 92.96 480 | 92.79 474 | 93.46 511 | 96.92 503 | 96.45 315 | 91.89 527 | 94.39 508 | 92.91 482 | 92.54 525 | 95.46 497 | 88.26 447 | 90.71 542 | 85.22 523 | 97.52 481 | 93.22 529 |
|
| hybridcas | | | 99.08 79 | 99.13 70 | 98.92 171 | 99.54 123 | 97.61 221 | 98.22 177 | 99.66 70 | 99.27 74 | 99.40 117 | 99.24 144 | 98.47 77 | 99.70 316 | 98.59 118 | 99.80 152 | 99.46 198 |
|
| GLUNet-SfM | | | 86.26 503 | 84.68 505 | 91.01 521 | 80.58 547 | 83.56 535 | 78.04 538 | 93.59 518 | 76.70 538 | 95.29 493 | 94.72 511 | 77.51 512 | 94.26 538 | 66.39 541 | 99.33 348 | 95.20 518 |
|
| PDCNetPlus | | | 95.22 439 | 94.73 446 | 96.70 434 | 97.85 456 | 91.14 493 | 93.94 504 | 99.97 1 | 93.06 479 | 98.95 222 | 98.89 261 | 74.32 516 | 99.14 482 | 95.63 377 | 99.93 57 | 99.82 36 |
|
| hybrid | | | 98.22 238 | 98.27 220 | 98.08 323 | 99.13 267 | 95.24 374 | 96.61 380 | 99.53 134 | 97.43 289 | 98.46 316 | 98.97 236 | 96.75 244 | 99.65 362 | 97.84 187 | 99.69 231 | 99.35 256 |
|
| RoMa-SfM | | | 98.46 198 | 98.27 220 | 99.02 149 | 99.35 197 | 98.32 130 | 97.56 290 | 99.70 53 | 95.88 394 | 99.38 121 | 98.65 320 | 96.41 261 | 99.46 441 | 97.78 192 | 99.71 217 | 99.28 284 |
|
| DKM | | | 98.18 246 | 97.95 263 | 98.85 180 | 99.35 197 | 98.31 131 | 96.68 372 | 99.69 56 | 96.90 338 | 98.61 292 | 98.77 289 | 94.41 346 | 98.93 492 | 97.32 239 | 99.84 114 | 99.32 270 |
|
| ELoFTR | | | 97.81 291 | 97.74 283 | 98.04 329 | 99.39 183 | 95.79 345 | 97.28 331 | 99.58 101 | 94.13 458 | 99.38 121 | 99.37 104 | 93.31 376 | 99.60 386 | 97.23 245 | 99.96 28 | 98.74 402 |
|
| MatchFormer | | | 97.07 352 | 96.92 344 | 97.49 390 | 98.44 406 | 95.92 336 | 96.79 363 | 99.14 304 | 93.08 478 | 99.32 143 | 99.10 190 | 93.89 364 | 99.03 485 | 92.78 463 | 99.78 164 | 97.52 483 |
|
| LoFTR | | | 97.97 270 | 97.79 279 | 98.53 263 | 98.80 345 | 97.47 231 | 97.01 348 | 99.55 124 | 95.55 410 | 99.46 101 | 99.22 152 | 94.22 356 | 99.44 446 | 96.45 330 | 99.82 133 | 98.68 411 |
|
| ALIKED-LG | | | 97.10 348 | 96.63 369 | 98.50 270 | 97.96 449 | 98.68 99 | 97.75 259 | 99.68 63 | 95.86 395 | 98.36 330 | 98.33 371 | 91.58 411 | 99.04 484 | 90.87 501 | 99.31 353 | 97.77 472 |
|
| SP-DiffGlue | | | 96.87 364 | 96.76 357 | 97.21 405 | 95.17 531 | 96.88 290 | 96.12 417 | 98.93 340 | 96.51 359 | 98.37 328 | 97.55 435 | 93.65 372 | 97.83 514 | 96.11 355 | 98.45 446 | 96.92 496 |
|
| SP-LightGlue | | | 97.22 340 | 97.01 338 | 97.88 342 | 97.33 490 | 97.19 263 | 96.38 397 | 99.08 313 | 97.28 305 | 96.53 458 | 97.50 440 | 92.36 397 | 98.70 501 | 97.84 187 | 98.76 422 | 97.74 474 |
|
| SP-SuperGlue | | | 97.31 330 | 97.23 323 | 97.57 383 | 96.96 502 | 97.24 255 | 96.26 408 | 98.76 375 | 97.68 256 | 96.88 440 | 97.85 416 | 94.32 352 | 98.01 511 | 97.76 198 | 98.57 441 | 97.45 486 |
|
| SIFT-UMatch | | | 96.33 391 | 96.47 380 | 95.89 469 | 98.29 420 | 97.95 179 | 93.84 506 | 97.24 452 | 95.78 402 | 98.72 272 | 98.04 401 | 93.45 375 | 96.81 528 | 93.14 452 | 99.73 199 | 92.91 533 |
|
| SIFT-NCMNet | | | 96.30 393 | 96.40 384 | 96.03 464 | 97.80 461 | 97.68 214 | 92.34 525 | 96.94 465 | 95.55 410 | 98.84 251 | 98.63 326 | 94.17 357 | 97.63 518 | 93.57 439 | 99.71 217 | 92.77 535 |
|
| SIFT-ConvMatch | | | 96.57 376 | 96.62 370 | 96.43 441 | 98.20 431 | 98.27 134 | 93.88 505 | 96.88 468 | 95.29 423 | 98.88 242 | 98.25 380 | 95.18 320 | 97.43 521 | 93.22 450 | 99.83 126 | 93.59 523 |
|
| SIFT-PointCN | | | 96.45 387 | 96.47 380 | 96.39 443 | 98.13 441 | 97.54 225 | 93.31 517 | 97.23 453 | 94.67 442 | 98.68 279 | 98.32 372 | 94.64 339 | 97.81 515 | 93.50 442 | 99.77 172 | 93.83 521 |
|
| XFeat-MNN | | | 93.41 472 | 92.98 472 | 94.68 496 | 92.63 538 | 92.92 457 | 89.72 534 | 95.81 492 | 92.10 493 | 97.23 418 | 96.29 478 | 84.95 473 | 97.31 524 | 89.60 509 | 98.54 443 | 93.81 522 |
|
| ALIKED-MNN | | | 95.97 412 | 95.30 427 | 98.00 332 | 97.66 473 | 98.12 150 | 96.98 351 | 99.41 200 | 91.11 505 | 94.04 513 | 97.30 453 | 91.56 412 | 98.61 503 | 89.99 506 | 99.63 261 | 97.28 492 |
|
| SP-MNN | | | 96.46 386 | 96.24 393 | 97.10 411 | 96.71 510 | 95.98 333 | 96.00 423 | 97.33 448 | 95.82 399 | 94.93 499 | 97.10 462 | 93.70 371 | 98.01 511 | 96.30 341 | 98.30 452 | 97.30 490 |
|
| SIFT-MNN | | | 95.92 414 | 95.97 396 | 95.74 476 | 98.18 433 | 98.00 169 | 94.17 496 | 96.99 460 | 95.74 404 | 97.16 419 | 97.90 412 | 90.71 423 | 95.79 534 | 93.71 433 | 99.21 374 | 93.44 525 |
|
| casdiffseed414692147 | | | 99.09 73 | 99.12 71 | 99.01 151 | 99.55 117 | 97.91 185 | 98.30 165 | 99.68 63 | 99.04 119 | 99.19 174 | 99.37 104 | 98.98 28 | 99.61 382 | 98.13 155 | 99.83 126 | 99.50 168 |
|
| gbinet_0.2-2-1-0.02 | | | 95.44 432 | 94.55 447 | 98.14 314 | 95.99 528 | 95.34 370 | 94.71 474 | 98.29 414 | 96.00 388 | 96.05 475 | 90.50 537 | 84.99 472 | 99.79 246 | 97.33 237 | 97.07 499 | 99.28 284 |
|
| 0.3-1-1-0.015 | | | 87.27 502 | 84.50 506 | 95.57 480 | 91.70 540 | 90.77 499 | 89.41 535 | 92.04 528 | 88.98 518 | 82.46 542 | 81.35 540 | 60.36 543 | 99.50 426 | 92.96 454 | 81.23 538 | 96.45 506 |
|
| 0.4-1-1-0.1 | | | 88.42 500 | 85.91 503 | 95.94 466 | 93.08 537 | 91.54 479 | 90.99 529 | 92.04 528 | 89.96 514 | 84.83 540 | 83.25 539 | 63.75 539 | 99.52 419 | 93.25 448 | 82.07 536 | 96.75 501 |
|
| 0.4-1-1-0.2 | | | 87.49 501 | 84.89 504 | 95.31 489 | 91.33 543 | 90.08 506 | 88.47 536 | 92.07 527 | 88.70 521 | 84.06 541 | 81.08 541 | 63.62 540 | 99.49 430 | 92.93 456 | 81.71 537 | 96.37 507 |
|
| wanda-best-256-512 | | | 95.48 430 | 94.74 444 | 97.68 363 | 96.53 514 | 94.12 418 | 94.17 496 | 98.57 396 | 95.84 396 | 96.71 447 | 91.16 533 | 86.05 462 | 99.76 270 | 97.57 215 | 96.09 513 | 99.17 324 |
|
| usedtu_dtu_shiyan2 | | | 98.99 94 | 98.86 115 | 99.39 72 | 99.73 38 | 98.71 97 | 99.05 68 | 99.47 167 | 99.16 94 | 99.49 94 | 99.12 185 | 96.34 268 | 99.93 53 | 98.05 164 | 99.36 341 | 99.54 143 |
|
| usedtu_dtu_shiyan1 | | | 97.37 324 | 97.13 331 | 98.11 316 | 99.03 291 | 95.40 365 | 94.47 486 | 98.99 333 | 96.87 340 | 97.97 362 | 97.81 419 | 92.12 403 | 99.75 282 | 97.49 228 | 99.43 331 | 99.16 330 |
|
| blended_shiyan8 | | | 95.98 410 | 95.33 424 | 97.94 337 | 97.05 500 | 94.87 393 | 95.34 456 | 98.59 393 | 96.17 376 | 97.09 423 | 92.39 528 | 87.62 451 | 99.76 270 | 97.65 207 | 96.05 519 | 99.20 310 |
|
| E5new | | | 99.05 83 | 99.11 74 | 98.85 180 | 99.60 88 | 97.30 246 | 98.42 151 | 99.63 81 | 98.73 151 | 99.26 156 | 99.39 100 | 98.71 51 | 99.70 316 | 98.43 133 | 99.84 114 | 99.54 143 |
|
| FE-blended-shiyan7 | | | 95.48 430 | 94.74 444 | 97.68 363 | 96.53 514 | 94.12 418 | 94.17 496 | 98.57 396 | 95.84 396 | 96.71 447 | 91.16 533 | 86.05 462 | 99.76 270 | 97.57 215 | 96.09 513 | 99.17 324 |
|
| E6new | | | 99.05 83 | 99.11 74 | 98.85 180 | 99.60 88 | 97.30 246 | 98.42 151 | 99.63 81 | 98.73 151 | 99.26 156 | 99.39 100 | 98.71 51 | 99.70 316 | 98.43 133 | 99.84 114 | 99.54 143 |
|
| blended_shiyan6 | | | 95.99 409 | 95.33 424 | 97.95 336 | 97.06 498 | 94.89 391 | 95.34 456 | 98.58 394 | 96.17 376 | 97.06 425 | 92.41 527 | 87.64 450 | 99.76 270 | 97.64 208 | 96.09 513 | 99.19 316 |
|
| usedtu_blend_shiyan5 | | | 96.20 401 | 95.62 407 | 97.94 337 | 96.53 514 | 94.93 388 | 98.83 96 | 99.59 98 | 98.89 138 | 96.71 447 | 91.16 533 | 86.05 462 | 99.73 296 | 96.70 301 | 96.09 513 | 99.17 324 |
|
| blend_shiyan4 | | | 92.09 493 | 90.16 500 | 97.88 342 | 96.78 508 | 94.93 388 | 95.24 460 | 98.58 394 | 96.22 374 | 96.07 473 | 91.42 532 | 63.46 541 | 99.73 296 | 96.70 301 | 76.98 541 | 98.98 356 |
|
| E6 | | | 99.05 83 | 99.11 74 | 98.85 180 | 99.60 88 | 97.30 246 | 98.42 151 | 99.63 81 | 98.73 151 | 99.26 156 | 99.39 100 | 98.71 51 | 99.70 316 | 98.43 133 | 99.84 114 | 99.54 143 |
|
| E5 | | | 99.05 83 | 99.11 74 | 98.85 180 | 99.60 88 | 97.30 246 | 98.42 151 | 99.63 81 | 98.73 151 | 99.26 156 | 99.39 100 | 98.71 51 | 99.70 316 | 98.43 133 | 99.84 114 | 99.54 143 |
|
| FE-MVSNET3 | | | 97.37 324 | 97.13 331 | 98.11 316 | 99.03 291 | 95.40 365 | 94.47 486 | 98.99 333 | 96.87 340 | 97.97 362 | 97.81 419 | 92.12 403 | 99.75 282 | 97.49 228 | 99.43 331 | 99.16 330 |
|
| E4 | | | 98.87 112 | 98.88 108 | 98.81 192 | 99.52 131 | 97.23 256 | 97.62 279 | 99.61 90 | 98.58 172 | 99.18 179 | 99.33 118 | 98.29 99 | 99.69 326 | 97.99 173 | 99.83 126 | 99.52 160 |
|
| E3new | | | 98.41 203 | 98.34 206 | 98.62 238 | 99.19 246 | 96.90 287 | 97.32 323 | 99.50 147 | 97.40 292 | 98.63 286 | 98.92 249 | 97.21 209 | 99.65 362 | 97.34 235 | 99.52 303 | 99.31 275 |
|
| FE-MVSNET2 | | | 99.15 57 | 99.22 54 | 98.94 165 | 99.70 57 | 97.49 227 | 98.62 118 | 99.67 69 | 98.85 145 | 99.34 134 | 99.54 62 | 98.47 77 | 99.81 224 | 98.93 92 | 99.91 80 | 99.51 164 |
|
| fmvsm_s_conf0.5_n_11 | | | 99.21 47 | 99.34 35 | 98.80 195 | 99.48 156 | 96.56 308 | 97.97 226 | 99.69 56 | 99.63 28 | 99.84 30 | 99.54 62 | 98.21 115 | 99.94 41 | 99.76 23 | 99.95 39 | 99.88 20 |
|
| E2 | | | 98.70 147 | 98.68 141 | 98.73 217 | 99.40 181 | 97.10 273 | 97.48 302 | 99.57 109 | 98.09 223 | 99.00 207 | 99.20 156 | 97.90 143 | 99.67 342 | 97.73 202 | 99.77 172 | 99.43 212 |
|
| MED-MVS test | | | | | 99.45 64 | 99.58 94 | 98.93 79 | 98.68 109 | 99.60 92 | 96.46 365 | 99.53 83 | 98.77 289 | | 99.83 195 | 96.67 305 | 99.64 255 | 99.58 117 |
|
| MED-MVS | | | 99.01 90 | 98.84 119 | 99.52 44 | 99.58 94 | 98.93 79 | 98.68 109 | 99.60 92 | 98.85 145 | 99.53 83 | 99.16 169 | 97.87 149 | 99.83 195 | 96.67 305 | 99.64 255 | 99.81 41 |
|
| E3 | | | 98.69 151 | 98.68 141 | 98.73 217 | 99.40 181 | 97.10 273 | 97.48 302 | 99.57 109 | 98.09 223 | 99.00 207 | 99.20 156 | 97.90 143 | 99.67 342 | 97.73 202 | 99.77 172 | 99.43 212 |
|
| TestfortrainingZip a | | | 99.09 73 | 98.92 102 | 99.61 13 | 99.58 94 | 99.17 43 | 98.68 109 | 99.27 264 | 98.85 145 | 99.61 70 | 99.16 169 | 97.14 213 | 99.86 144 | 98.39 138 | 99.57 285 | 99.81 41 |
|
| TestfortrainingZip | | | | | 98.97 160 | 98.30 419 | 98.43 119 | 98.68 109 | 98.26 415 | 97.76 250 | 98.86 248 | 98.16 390 | 95.15 321 | 99.47 437 | | 97.55 480 | 99.02 349 |
|
| fmvsm_s_conf0.5_n_10 | | | 99.15 57 | 99.27 47 | 98.78 202 | 99.47 159 | 96.56 308 | 97.75 259 | 99.71 48 | 99.60 35 | 99.74 46 | 99.44 85 | 97.96 139 | 99.95 25 | 99.86 4 | 99.94 51 | 99.82 36 |
|
| viewdifsd2359ckpt07 | | | 98.71 142 | 98.86 115 | 98.26 298 | 99.43 174 | 95.65 348 | 97.20 338 | 99.66 70 | 99.20 84 | 99.29 148 | 99.01 223 | 98.29 99 | 99.73 296 | 97.92 178 | 99.75 192 | 99.39 230 |
|
| viewdifsd2359ckpt09 | | | 98.13 252 | 97.92 269 | 98.77 207 | 99.18 254 | 97.35 240 | 97.29 327 | 99.53 134 | 95.81 400 | 98.09 351 | 98.47 352 | 96.34 268 | 99.66 355 | 97.02 264 | 99.51 306 | 99.29 281 |
|
| viewdifsd2359ckpt13 | | | 98.39 212 | 98.29 216 | 98.70 221 | 99.26 227 | 97.19 263 | 97.51 298 | 99.48 157 | 96.94 333 | 98.58 299 | 98.82 279 | 97.47 192 | 99.55 407 | 97.21 247 | 99.33 348 | 99.34 260 |
|
| viewcassd2359sk11 | | | 98.55 183 | 98.51 171 | 98.67 226 | 99.29 212 | 96.99 279 | 97.39 313 | 99.54 130 | 97.73 252 | 98.81 258 | 99.08 197 | 97.55 178 | 99.66 355 | 97.52 222 | 99.67 243 | 99.36 250 |
|
| viewdifsd2359ckpt11 | | | 98.84 119 | 99.04 87 | 98.24 302 | 99.56 111 | 95.51 354 | 97.38 315 | 99.70 53 | 99.16 94 | 99.57 72 | 99.40 97 | 98.26 105 | 99.71 308 | 98.55 125 | 99.82 133 | 99.50 168 |
|
| viewmacassd2359aftdt | | | 98.86 116 | 98.87 111 | 98.83 188 | 99.53 127 | 97.32 245 | 97.70 266 | 99.64 78 | 98.22 203 | 99.25 164 | 99.27 131 | 98.40 86 | 99.61 382 | 97.98 174 | 99.87 100 | 99.55 137 |
|
| viewmsd2359difaftdt | | | 98.84 119 | 99.04 87 | 98.24 302 | 99.56 111 | 95.51 354 | 97.38 315 | 99.70 53 | 99.16 94 | 99.57 72 | 99.40 97 | 98.26 105 | 99.71 308 | 98.55 125 | 99.82 133 | 99.50 168 |
|
| diffmvs_AUTHOR | | | 98.50 194 | 98.59 161 | 98.23 305 | 99.35 197 | 95.48 359 | 96.61 380 | 99.60 92 | 98.37 185 | 98.90 235 | 99.00 227 | 97.37 197 | 99.76 270 | 98.22 149 | 99.85 109 | 99.46 198 |
|
| FE-MVSNET | | | 98.59 174 | 98.50 174 | 98.87 177 | 99.58 94 | 97.30 246 | 98.08 196 | 99.74 44 | 96.94 333 | 98.97 216 | 99.10 190 | 96.94 226 | 99.74 289 | 97.33 237 | 99.86 107 | 99.55 137 |
|
| fmvsm_l_conf0.5_n_9 | | | 99.32 32 | 99.43 24 | 98.98 158 | 99.59 92 | 97.18 266 | 97.44 310 | 99.83 26 | 99.56 39 | 99.91 12 | 99.34 115 | 99.36 13 | 99.93 53 | 99.83 10 | 99.98 12 | 99.85 30 |
|
| mamba_0408 | | | 98.80 129 | 98.88 108 | 98.55 256 | 99.27 218 | 96.50 311 | 98.00 214 | 99.60 92 | 98.93 132 | 99.22 169 | 98.84 274 | 98.59 67 | 99.89 97 | 97.74 200 | 99.72 208 | 99.27 287 |
|
| icg_test_0407_2 | | | 98.20 243 | 98.38 198 | 97.65 369 | 99.03 291 | 94.03 424 | 95.78 439 | 99.45 176 | 98.16 215 | 99.06 191 | 98.71 301 | 98.27 103 | 99.68 337 | 97.50 223 | 99.45 322 | 99.22 305 |
|
| SSM_04072 | | | 98.80 129 | 98.88 108 | 98.56 254 | 99.27 218 | 96.50 311 | 98.00 214 | 99.60 92 | 98.93 132 | 99.22 169 | 98.84 274 | 98.59 67 | 99.90 81 | 97.74 200 | 99.72 208 | 99.27 287 |
|
| SSM_0407 | | | 98.86 116 | 98.96 100 | 98.55 256 | 99.27 218 | 96.50 311 | 98.04 205 | 99.66 70 | 99.09 110 | 99.22 169 | 99.02 212 | 98.79 43 | 99.87 135 | 97.87 184 | 99.72 208 | 99.27 287 |
|
| viewmambaseed2359dif | | | 98.19 244 | 98.26 223 | 97.99 334 | 99.02 298 | 95.03 385 | 96.59 383 | 99.53 134 | 96.21 375 | 99.00 207 | 98.99 229 | 97.62 170 | 99.61 382 | 97.62 210 | 99.72 208 | 99.33 266 |
|
| IMVS_0407 | | | 98.39 212 | 98.64 150 | 97.66 367 | 99.03 291 | 94.03 424 | 98.10 193 | 99.45 176 | 98.16 215 | 99.06 191 | 98.71 301 | 98.27 103 | 99.71 308 | 97.50 223 | 99.45 322 | 99.22 305 |
|
| viewmanbaseed2359cas | | | 98.58 176 | 98.54 167 | 98.70 221 | 99.28 215 | 97.13 272 | 97.47 306 | 99.55 124 | 97.55 272 | 98.96 221 | 98.92 249 | 97.77 157 | 99.59 391 | 97.59 214 | 99.77 172 | 99.39 230 |
|
| IMVS_0404 | | | 98.07 258 | 98.20 230 | 97.69 362 | 99.03 291 | 94.03 424 | 96.67 374 | 99.45 176 | 98.16 215 | 98.03 358 | 98.71 301 | 96.80 237 | 99.82 207 | 97.50 223 | 99.45 322 | 99.22 305 |
|
| SSM_0404 | | | 98.90 108 | 99.01 92 | 98.57 249 | 99.42 176 | 96.59 303 | 98.13 186 | 99.66 70 | 99.09 110 | 99.30 147 | 99.02 212 | 98.79 43 | 99.89 97 | 97.87 184 | 99.80 152 | 99.23 300 |
|
| IMVS_0403 | | | 98.34 216 | 98.56 164 | 97.66 367 | 99.03 291 | 94.03 424 | 97.98 222 | 99.45 176 | 98.16 215 | 98.89 238 | 98.71 301 | 97.90 143 | 99.74 289 | 97.50 223 | 99.45 322 | 99.22 305 |
|
| SD_0403 | | | 96.28 395 | 95.83 399 | 97.64 372 | 98.72 355 | 94.30 411 | 98.87 89 | 98.77 373 | 97.80 246 | 96.53 458 | 98.02 403 | 97.34 199 | 99.47 437 | 76.93 537 | 99.48 318 | 99.16 330 |
|
| fmvsm_s_conf0.5_n_9 | | | 99.17 52 | 99.38 28 | 98.53 263 | 99.51 134 | 95.82 343 | 97.62 279 | 99.78 36 | 99.72 14 | 99.90 14 | 99.48 75 | 98.66 59 | 99.89 97 | 99.85 6 | 99.93 57 | 99.89 16 |
|
| ME-MVS | | | 98.61 170 | 98.33 211 | 99.44 65 | 99.24 230 | 98.93 79 | 97.45 308 | 99.06 315 | 98.14 221 | 99.06 191 | 98.77 289 | 96.97 225 | 99.82 207 | 96.67 305 | 99.64 255 | 99.58 117 |
|
| NormalMVS | | | 98.26 233 | 97.97 262 | 99.15 121 | 99.64 77 | 97.83 194 | 98.28 167 | 99.43 190 | 99.24 77 | 98.80 260 | 98.85 269 | 89.76 432 | 99.94 41 | 98.04 165 | 99.67 243 | 99.68 73 |
|
| lecture | | | 99.25 40 | 99.12 71 | 99.62 9 | 99.64 77 | 99.40 11 | 98.89 88 | 99.51 142 | 99.19 89 | 99.37 125 | 99.25 142 | 98.36 90 | 99.88 115 | 98.23 148 | 99.67 243 | 99.59 109 |
|
| SymmetryMVS | | | 98.05 260 | 97.71 289 | 99.09 132 | 99.29 212 | 97.83 194 | 98.28 167 | 97.64 439 | 99.24 77 | 98.80 260 | 98.85 269 | 89.76 432 | 99.94 41 | 98.04 165 | 99.50 314 | 99.49 176 |
|
| Elysia | | | 99.15 57 | 99.14 68 | 99.18 113 | 99.63 83 | 97.92 183 | 98.50 137 | 99.43 190 | 99.67 20 | 99.70 51 | 99.13 181 | 96.66 248 | 99.98 4 | 99.54 44 | 99.96 28 | 99.64 86 |
|
| StellarMVS | | | 99.15 57 | 99.14 68 | 99.18 113 | 99.63 83 | 97.92 183 | 98.50 137 | 99.43 190 | 99.67 20 | 99.70 51 | 99.13 181 | 96.66 248 | 99.98 4 | 99.54 44 | 99.96 28 | 99.64 86 |
|
| KinetiMVS | | | 99.03 88 | 99.02 90 | 99.03 146 | 99.70 57 | 97.48 230 | 98.43 148 | 99.29 257 | 99.70 15 | 99.60 71 | 99.07 198 | 96.13 278 | 99.94 41 | 99.42 55 | 99.87 100 | 99.68 73 |
|
| LuminaMVS | | | 98.39 212 | 98.20 230 | 98.98 158 | 99.50 140 | 97.49 227 | 97.78 250 | 97.69 434 | 98.75 150 | 99.49 94 | 99.25 142 | 92.30 400 | 99.94 41 | 99.14 75 | 99.88 95 | 99.50 168 |
|
| VortexMVS | | | 97.98 269 | 98.31 213 | 97.02 415 | 98.88 327 | 91.45 482 | 98.03 207 | 99.47 167 | 98.65 160 | 99.55 77 | 99.47 78 | 91.49 414 | 99.81 224 | 99.32 60 | 99.91 80 | 99.80 45 |
|
| AstraMVS | | | 98.16 251 | 98.07 251 | 98.41 280 | 99.51 134 | 95.86 340 | 98.00 214 | 95.14 501 | 98.97 127 | 99.43 108 | 99.24 144 | 93.25 377 | 99.84 177 | 99.21 70 | 99.87 100 | 99.54 143 |
|
| guyue | | | 98.01 264 | 97.93 268 | 98.26 298 | 99.45 167 | 95.48 359 | 98.08 196 | 96.24 481 | 98.89 138 | 99.34 134 | 99.14 179 | 91.32 417 | 99.82 207 | 99.07 80 | 99.83 126 | 99.48 187 |
|
| sc_t1 | | | 99.62 7 | 99.66 8 | 99.53 38 | 99.82 19 | 99.09 68 | 99.50 11 | 99.63 81 | 99.88 4 | 99.86 24 | 99.80 11 | 99.03 24 | 99.89 97 | 99.48 52 | 99.93 57 | 99.60 102 |
|
| tt0320-xc | | | 99.64 5 | 99.68 5 | 99.50 54 | 99.72 45 | 98.98 71 | 99.51 10 | 99.85 19 | 99.86 6 | 99.88 21 | 99.82 5 | 99.02 26 | 99.90 81 | 99.54 44 | 99.95 39 | 99.61 100 |
|
| tt0320 | | | 99.61 8 | 99.65 9 | 99.48 57 | 99.71 49 | 98.94 78 | 99.54 8 | 99.83 26 | 99.87 5 | 99.89 18 | 99.82 5 | 98.75 47 | 99.90 81 | 99.54 44 | 99.95 39 | 99.59 109 |
|
| fmvsm_s_conf0.5_n_8 | | | 99.13 66 | 99.26 50 | 98.74 215 | 99.51 134 | 96.44 316 | 97.65 274 | 99.65 76 | 99.66 23 | 99.78 39 | 99.48 75 | 97.92 142 | 99.93 53 | 99.72 30 | 99.95 39 | 99.87 22 |
|
| fmvsm_s_conf0.5_n_7 | | | 98.83 122 | 99.04 87 | 98.20 307 | 99.30 210 | 94.83 394 | 97.23 333 | 99.36 216 | 98.64 161 | 99.84 30 | 99.43 88 | 98.10 127 | 99.91 74 | 99.56 41 | 99.96 28 | 99.87 22 |
|
| fmvsm_s_conf0.5_n_6 | | | 99.08 79 | 99.21 57 | 98.69 223 | 99.36 192 | 96.51 310 | 97.62 279 | 99.68 63 | 98.43 183 | 99.85 27 | 99.10 190 | 99.12 23 | 99.88 115 | 99.77 22 | 99.92 71 | 99.67 78 |
|
| fmvsm_s_conf0.5_n_5 | | | 99.07 82 | 99.10 80 | 98.99 154 | 99.47 159 | 97.22 259 | 97.40 312 | 99.83 26 | 97.61 264 | 99.85 27 | 99.30 125 | 98.80 41 | 99.95 25 | 99.71 32 | 99.90 88 | 99.78 50 |
|
| fmvsm_s_conf0.5_n_4 | | | 99.01 90 | 99.22 54 | 98.38 284 | 99.31 206 | 95.48 359 | 97.56 290 | 99.73 45 | 98.87 140 | 99.75 44 | 99.27 131 | 98.80 41 | 99.86 144 | 99.80 17 | 99.90 88 | 99.81 41 |
|
| SSC-MVS3.2 | | | 98.53 188 | 98.79 124 | 97.74 357 | 99.46 162 | 93.62 447 | 96.45 391 | 99.34 228 | 99.33 66 | 98.93 231 | 98.70 308 | 97.90 143 | 99.90 81 | 99.12 76 | 99.92 71 | 99.69 72 |
|
| testing3-2 | | | 93.78 465 | 93.91 456 | 93.39 514 | 98.82 339 | 81.72 543 | 97.76 256 | 95.28 499 | 98.60 168 | 96.54 457 | 96.66 468 | 65.85 534 | 99.62 374 | 96.65 309 | 98.99 405 | 98.82 384 |
|
| myMVS_eth3d28 | | | 92.92 482 | 92.31 478 | 94.77 494 | 97.84 457 | 87.59 520 | 96.19 411 | 96.11 484 | 97.08 325 | 94.27 507 | 93.49 520 | 66.07 533 | 98.78 498 | 91.78 481 | 97.93 474 | 97.92 462 |
|
| UWE-MVS-28 | | | 90.22 498 | 89.28 501 | 93.02 518 | 94.50 535 | 82.87 539 | 96.52 387 | 87.51 539 | 95.21 427 | 92.36 527 | 96.04 480 | 71.57 520 | 98.25 508 | 72.04 539 | 97.77 476 | 97.94 461 |
|
| fmvsm_l_conf0.5_n_3 | | | 99.45 18 | 99.48 18 | 99.34 83 | 99.59 92 | 98.21 143 | 97.82 244 | 99.84 23 | 99.41 57 | 99.92 8 | 99.41 94 | 99.51 8 | 99.95 25 | 99.84 9 | 99.97 21 | 99.87 22 |
|
| fmvsm_s_conf0.5_n_3 | | | 99.22 46 | 99.37 31 | 98.78 202 | 99.46 162 | 96.58 306 | 97.65 274 | 99.72 46 | 99.47 47 | 99.86 24 | 99.50 68 | 98.94 31 | 99.89 97 | 99.75 26 | 99.97 21 | 99.86 28 |
|
| fmvsm_s_conf0.5_n_2 | | | 99.14 62 | 99.31 41 | 98.63 236 | 99.49 148 | 96.08 330 | 97.38 315 | 99.81 32 | 99.48 44 | 99.84 30 | 99.57 49 | 98.46 82 | 99.89 97 | 99.82 12 | 99.97 21 | 99.91 13 |
|
| fmvsm_s_conf0.1_n_2 | | | 99.20 50 | 99.38 28 | 98.65 230 | 99.69 61 | 96.08 330 | 97.49 301 | 99.90 12 | 99.53 41 | 99.88 21 | 99.64 37 | 98.51 76 | 99.90 81 | 99.83 10 | 99.98 12 | 99.97 4 |
|
| GDP-MVS | | | 97.50 310 | 97.11 333 | 98.67 226 | 99.02 298 | 96.85 291 | 98.16 183 | 99.71 48 | 98.32 192 | 98.52 310 | 98.54 339 | 83.39 487 | 99.95 25 | 98.79 101 | 99.56 289 | 99.19 316 |
|
| BP-MVS1 | | | 97.40 322 | 96.97 340 | 98.71 220 | 99.07 279 | 96.81 293 | 98.34 163 | 97.18 454 | 98.58 172 | 98.17 340 | 98.61 331 | 84.01 483 | 99.94 41 | 98.97 89 | 99.78 164 | 99.37 242 |
|
| reproduce_monomvs | | | 95.00 445 | 95.25 429 | 94.22 501 | 97.51 484 | 83.34 536 | 97.86 240 | 98.44 405 | 98.51 179 | 99.29 148 | 99.30 125 | 67.68 527 | 99.56 403 | 98.89 96 | 99.81 140 | 99.77 53 |
|
| mmtdpeth | | | 99.30 33 | 99.42 25 | 98.92 171 | 99.58 94 | 96.89 288 | 99.48 13 | 99.92 8 | 99.92 2 | 98.26 337 | 99.80 11 | 98.33 96 | 99.91 74 | 99.56 41 | 99.95 39 | 99.97 4 |
|
| reproduce_model | | | 99.15 57 | 98.97 98 | 99.67 4 | 99.33 203 | 99.44 9 | 98.15 184 | 99.47 167 | 99.12 99 | 99.52 87 | 99.32 123 | 98.31 97 | 99.90 81 | 97.78 192 | 99.73 199 | 99.66 80 |
|
| reproduce-ours | | | 99.09 73 | 98.90 105 | 99.67 4 | 99.27 218 | 99.49 5 | 98.00 214 | 99.42 196 | 99.05 117 | 99.48 96 | 99.27 131 | 98.29 99 | 99.89 97 | 97.61 211 | 99.71 217 | 99.62 92 |
|
| our_new_method | | | 99.09 73 | 98.90 105 | 99.67 4 | 99.27 218 | 99.49 5 | 98.00 214 | 99.42 196 | 99.05 117 | 99.48 96 | 99.27 131 | 98.29 99 | 99.89 97 | 97.61 211 | 99.71 217 | 99.62 92 |
|
| mmdepth | | | 0.00 514 | 0.00 517 | 0.00 529 | 0.00 552 | 0.00 554 | 0.00 540 | 0.00 553 | 0.00 547 | 0.00 548 | 0.00 547 | 0.00 551 | 0.00 548 | 0.00 546 | 0.00 546 | 0.00 544 |
|
| monomultidepth | | | 0.00 514 | 0.00 517 | 0.00 529 | 0.00 552 | 0.00 554 | 0.00 540 | 0.00 553 | 0.00 547 | 0.00 548 | 0.00 547 | 0.00 551 | 0.00 548 | 0.00 546 | 0.00 546 | 0.00 544 |
|
| mvs5depth | | | 99.30 33 | 99.59 12 | 98.44 277 | 99.65 71 | 95.35 368 | 99.82 3 | 99.94 3 | 99.83 7 | 99.42 112 | 99.94 2 | 98.13 125 | 99.96 13 | 99.63 36 | 99.96 28 | 100.00 1 |
|
| MVStest1 | | | 95.86 416 | 95.60 409 | 96.63 435 | 95.87 529 | 91.70 477 | 97.93 228 | 98.94 337 | 98.03 226 | 99.56 74 | 99.66 32 | 71.83 519 | 98.26 507 | 99.35 58 | 99.24 367 | 99.91 13 |
|
| ttmdpeth | | | 97.91 273 | 98.02 255 | 97.58 378 | 98.69 368 | 94.10 420 | 98.13 186 | 98.90 347 | 97.95 232 | 97.32 414 | 99.58 47 | 95.95 293 | 98.75 499 | 96.41 333 | 99.22 371 | 99.87 22 |
|
| WBMVS | | | 95.18 440 | 94.78 442 | 96.37 444 | 97.68 471 | 89.74 509 | 95.80 438 | 98.73 382 | 97.54 274 | 98.30 331 | 98.44 355 | 70.06 521 | 99.82 207 | 96.62 311 | 99.87 100 | 99.54 143 |
|
| dongtai | | | 76.24 507 | 75.95 510 | 77.12 525 | 92.39 539 | 67.91 549 | 90.16 531 | 59.44 550 | 82.04 535 | 89.42 535 | 94.67 512 | 49.68 547 | 81.74 543 | 48.06 542 | 77.66 540 | 81.72 539 |
|
| kuosan | | | 69.30 508 | 68.95 511 | 70.34 526 | 87.68 546 | 65.00 550 | 91.11 528 | 59.90 549 | 69.02 539 | 74.46 544 | 88.89 538 | 48.58 548 | 68.03 545 | 28.61 543 | 72.33 543 | 77.99 540 |
|
| MVSMamba_PlusPlus | | | 98.83 122 | 98.98 97 | 98.36 288 | 99.32 204 | 96.58 306 | 98.90 84 | 99.41 200 | 99.75 10 | 98.72 272 | 99.50 68 | 96.17 275 | 99.94 41 | 99.27 64 | 99.78 164 | 98.57 421 |
|
| MGCFI-Net | | | 98.34 216 | 98.28 217 | 98.51 266 | 98.47 401 | 97.59 222 | 98.96 78 | 99.48 157 | 99.18 92 | 97.40 409 | 95.50 494 | 98.66 59 | 99.50 426 | 98.18 152 | 98.71 427 | 98.44 431 |
|
| testing91 | | | 93.32 473 | 92.27 479 | 96.47 440 | 97.54 477 | 91.25 489 | 96.17 415 | 96.76 471 | 97.18 319 | 93.65 519 | 93.50 519 | 65.11 536 | 99.63 370 | 93.04 453 | 97.45 485 | 98.53 422 |
|
| testing11 | | | 93.08 478 | 92.02 484 | 96.26 449 | 97.56 475 | 90.83 498 | 96.32 402 | 95.70 494 | 96.47 364 | 92.66 524 | 93.73 516 | 64.36 537 | 99.59 391 | 93.77 432 | 97.57 479 | 98.37 440 |
|
| testing99 | | | 93.04 479 | 91.98 487 | 96.23 452 | 97.53 479 | 90.70 501 | 96.35 400 | 95.94 489 | 96.87 340 | 93.41 520 | 93.43 521 | 63.84 538 | 99.59 391 | 93.24 449 | 97.19 495 | 98.40 436 |
|
| UBG | | | 93.25 475 | 92.32 477 | 96.04 463 | 97.72 463 | 90.16 504 | 95.92 432 | 95.91 490 | 96.03 386 | 93.95 516 | 93.04 524 | 69.60 523 | 99.52 419 | 90.72 503 | 97.98 472 | 98.45 428 |
|
| UWE-MVS | | | 92.38 488 | 91.76 491 | 94.21 502 | 97.16 494 | 84.65 530 | 95.42 453 | 88.45 538 | 95.96 390 | 96.17 469 | 95.84 488 | 66.36 530 | 99.71 308 | 91.87 480 | 98.64 434 | 98.28 443 |
|
| ETVMVS | | | 92.60 485 | 91.08 494 | 97.18 406 | 97.70 468 | 93.65 446 | 96.54 384 | 95.70 494 | 96.51 359 | 94.68 503 | 92.39 528 | 61.80 542 | 99.50 426 | 86.97 517 | 97.41 488 | 98.40 436 |
|
| sasdasda | | | 98.34 216 | 98.26 223 | 98.58 246 | 98.46 403 | 97.82 199 | 98.96 78 | 99.46 172 | 99.19 89 | 97.46 403 | 95.46 497 | 98.59 67 | 99.46 441 | 98.08 160 | 98.71 427 | 98.46 425 |
|
| testing222 | | | 91.96 494 | 90.37 497 | 96.72 433 | 97.47 486 | 92.59 463 | 96.11 418 | 94.76 503 | 96.83 344 | 92.90 522 | 92.87 525 | 57.92 544 | 99.55 407 | 86.93 518 | 97.52 481 | 98.00 459 |
|
| WB-MVSnew | | | 95.73 421 | 95.57 412 | 96.23 452 | 96.70 511 | 90.70 501 | 96.07 421 | 93.86 517 | 95.60 408 | 97.04 427 | 95.45 501 | 96.00 285 | 99.55 407 | 91.04 495 | 98.31 451 | 98.43 433 |
|
| fmvsm_l_conf0.5_n_a | | | 99.19 51 | 99.27 47 | 98.94 165 | 99.65 71 | 97.05 275 | 97.80 248 | 99.76 39 | 98.70 159 | 99.78 39 | 99.11 187 | 98.79 43 | 99.95 25 | 99.85 6 | 99.96 28 | 99.83 33 |
|
| fmvsm_l_conf0.5_n | | | 99.21 47 | 99.28 46 | 99.02 149 | 99.64 77 | 97.28 252 | 97.82 244 | 99.76 39 | 98.73 151 | 99.82 34 | 99.09 196 | 98.81 39 | 99.95 25 | 99.86 4 | 99.96 28 | 99.83 33 |
|
| fmvsm_s_conf0.1_n_a | | | 99.17 52 | 99.30 44 | 98.80 195 | 99.75 34 | 96.59 303 | 97.97 226 | 99.86 17 | 98.22 203 | 99.88 21 | 99.71 22 | 98.59 67 | 99.84 177 | 99.73 28 | 99.98 12 | 99.98 3 |
|
| fmvsm_s_conf0.1_n | | | 99.16 56 | 99.33 37 | 98.64 232 | 99.71 49 | 96.10 325 | 97.87 239 | 99.85 19 | 98.56 177 | 99.90 14 | 99.68 25 | 98.69 57 | 99.85 158 | 99.72 30 | 99.98 12 | 99.97 4 |
|
| fmvsm_s_conf0.5_n_a | | | 99.10 72 | 99.20 58 | 98.78 202 | 99.55 117 | 96.59 303 | 97.79 249 | 99.82 31 | 98.21 205 | 99.81 36 | 99.53 64 | 98.46 82 | 99.84 177 | 99.70 33 | 99.97 21 | 99.90 15 |
|
| fmvsm_s_conf0.5_n | | | 99.09 73 | 99.26 50 | 98.61 242 | 99.55 117 | 96.09 328 | 97.74 261 | 99.81 32 | 98.55 178 | 99.85 27 | 99.55 56 | 98.60 66 | 99.84 177 | 99.69 35 | 99.98 12 | 99.89 16 |
|
| MM | | | 98.22 238 | 97.99 258 | 98.91 173 | 98.66 378 | 96.97 280 | 97.89 235 | 94.44 507 | 99.54 40 | 98.95 222 | 99.14 179 | 93.50 374 | 99.92 65 | 99.80 17 | 99.96 28 | 99.85 30 |
|
| WAC-MVS | | | | | | | 90.90 496 | | | | | | | | 91.37 490 | | |
|
| Syy-MVS | | | 96.04 405 | 95.56 413 | 97.49 390 | 97.10 496 | 94.48 406 | 96.18 413 | 96.58 475 | 95.65 406 | 94.77 501 | 92.29 530 | 91.27 418 | 99.36 457 | 98.17 154 | 98.05 468 | 98.63 415 |
|
| test_fmvsmconf0.1_n | | | 99.49 15 | 99.54 14 | 99.34 83 | 99.78 24 | 98.11 151 | 97.77 253 | 99.90 12 | 99.33 66 | 99.97 3 | 99.66 32 | 99.71 3 | 99.96 13 | 99.79 19 | 99.99 5 | 99.96 8 |
|
| test_fmvsmconf0.01_n | | | 99.57 10 | 99.63 10 | 99.36 74 | 99.87 12 | 98.13 149 | 98.08 196 | 99.95 2 | 99.45 50 | 99.98 2 | 99.75 16 | 99.80 1 | 99.97 6 | 99.82 12 | 99.99 5 | 99.99 2 |
|
| myMVS_eth3d | | | 91.92 495 | 90.45 496 | 96.30 446 | 97.10 496 | 90.90 496 | 96.18 413 | 96.58 475 | 95.65 406 | 94.77 501 | 92.29 530 | 53.88 545 | 99.36 457 | 89.59 510 | 98.05 468 | 98.63 415 |
|
| testing3 | | | 93.51 469 | 92.09 482 | 97.75 355 | 98.60 385 | 94.40 408 | 97.32 323 | 95.26 500 | 97.56 270 | 96.79 445 | 95.50 494 | 53.57 546 | 99.77 264 | 95.26 388 | 98.97 409 | 99.08 338 |
|
| SSC-MVS | | | 98.71 142 | 98.74 128 | 98.62 238 | 99.72 45 | 96.08 330 | 98.74 99 | 98.64 390 | 99.74 12 | 99.67 59 | 99.24 144 | 94.57 341 | 99.95 25 | 99.11 77 | 99.24 367 | 99.82 36 |
|
| test_fmvsmconf_n | | | 99.44 19 | 99.48 18 | 99.31 94 | 99.64 77 | 98.10 154 | 97.68 268 | 99.84 23 | 99.29 72 | 99.92 8 | 99.57 49 | 99.60 5 | 99.96 13 | 99.74 27 | 99.98 12 | 99.89 16 |
|
| WB-MVS | | | 98.52 192 | 98.55 165 | 98.43 278 | 99.65 71 | 95.59 349 | 98.52 130 | 98.77 373 | 99.65 25 | 99.52 87 | 99.00 227 | 94.34 351 | 99.93 53 | 98.65 114 | 98.83 417 | 99.76 58 |
|
| test_fmvsmvis_n_1920 | | | 99.26 39 | 99.49 16 | 98.54 261 | 99.66 70 | 96.97 280 | 98.00 214 | 99.85 19 | 99.24 77 | 99.92 8 | 99.50 68 | 99.39 12 | 99.95 25 | 99.89 3 | 99.98 12 | 98.71 404 |
|
| dmvs_re | | | 95.98 410 | 95.39 421 | 97.74 357 | 98.86 330 | 97.45 234 | 98.37 159 | 95.69 496 | 97.95 232 | 96.56 456 | 95.95 483 | 90.70 424 | 97.68 517 | 88.32 513 | 96.13 512 | 98.11 451 |
|
| SDMVSNet | | | 99.23 45 | 99.32 39 | 98.96 162 | 99.68 64 | 97.35 240 | 98.84 95 | 99.48 157 | 99.69 17 | 99.63 66 | 99.68 25 | 99.03 24 | 99.96 13 | 97.97 175 | 99.92 71 | 99.57 124 |
|
| dmvs_testset | | | 92.94 481 | 92.21 481 | 95.13 491 | 98.59 388 | 90.99 495 | 97.65 274 | 92.09 526 | 96.95 332 | 94.00 514 | 93.55 518 | 92.34 399 | 96.97 527 | 72.20 538 | 92.52 532 | 97.43 487 |
|
| sd_testset | | | 99.28 36 | 99.31 41 | 99.19 112 | 99.68 64 | 98.06 165 | 99.41 17 | 99.30 249 | 99.69 17 | 99.63 66 | 99.68 25 | 99.25 16 | 99.96 13 | 97.25 244 | 99.92 71 | 99.57 124 |
|
| test_fmvsm_n_1920 | | | 99.33 30 | 99.45 23 | 98.99 154 | 99.57 103 | 97.73 210 | 97.93 228 | 99.83 26 | 99.22 80 | 99.93 6 | 99.30 125 | 99.42 11 | 99.96 13 | 99.85 6 | 99.99 5 | 99.29 281 |
|
| test_cas_vis1_n_1920 | | | 98.33 220 | 98.68 141 | 97.27 402 | 99.69 61 | 92.29 471 | 98.03 207 | 99.85 19 | 97.62 261 | 99.96 4 | 99.62 40 | 93.98 363 | 99.74 289 | 99.52 49 | 99.86 107 | 99.79 47 |
|
| test_vis1_n_1920 | | | 98.40 206 | 98.92 102 | 96.81 429 | 99.74 37 | 90.76 500 | 98.15 184 | 99.91 10 | 98.33 190 | 99.89 18 | 99.55 56 | 95.07 324 | 99.88 115 | 99.76 23 | 99.93 57 | 99.79 47 |
|
| test_vis1_n | | | 98.31 225 | 98.50 174 | 97.73 360 | 99.76 30 | 94.17 416 | 98.68 109 | 99.91 10 | 96.31 371 | 99.79 38 | 99.57 49 | 92.85 390 | 99.42 450 | 99.79 19 | 99.84 114 | 99.60 102 |
|
| test_fmvs1_n | | | 98.09 256 | 98.28 217 | 97.52 387 | 99.68 64 | 93.47 449 | 98.63 116 | 99.93 6 | 95.41 421 | 99.68 57 | 99.64 37 | 91.88 408 | 99.48 434 | 99.82 12 | 99.87 100 | 99.62 92 |
|
| mvsany_test1 | | | 97.60 304 | 97.54 302 | 97.77 351 | 97.72 463 | 95.35 368 | 95.36 455 | 97.13 457 | 94.13 458 | 99.71 49 | 99.33 118 | 97.93 141 | 99.30 468 | 97.60 213 | 98.94 412 | 98.67 413 |
|
| APD_test1 | | | 98.83 122 | 98.66 146 | 99.34 83 | 99.78 24 | 99.47 8 | 98.42 151 | 99.45 176 | 98.28 199 | 98.98 212 | 99.19 159 | 97.76 158 | 99.58 398 | 96.57 316 | 99.55 294 | 98.97 360 |
|
| test_vis1_rt | | | 97.75 293 | 97.72 287 | 97.83 346 | 98.81 342 | 96.35 319 | 97.30 326 | 99.69 56 | 94.61 443 | 97.87 370 | 98.05 400 | 96.26 272 | 98.32 506 | 98.74 107 | 98.18 457 | 98.82 384 |
|
| test_vis3_rt | | | 99.14 62 | 99.17 60 | 99.07 136 | 99.78 24 | 98.38 122 | 98.92 83 | 99.94 3 | 97.80 246 | 99.91 12 | 99.67 30 | 97.15 212 | 98.91 494 | 99.76 23 | 99.56 289 | 99.92 12 |
|
| test_fmvs2 | | | 98.70 147 | 98.97 98 | 97.89 341 | 99.54 123 | 94.05 421 | 98.55 126 | 99.92 8 | 96.78 347 | 99.72 47 | 99.78 13 | 96.60 253 | 99.67 342 | 99.91 2 | 99.90 88 | 99.94 10 |
|
| test_fmvs1 | | | 97.72 295 | 97.94 266 | 97.07 414 | 98.66 378 | 92.39 468 | 97.68 268 | 99.81 32 | 95.20 428 | 99.54 79 | 99.44 85 | 91.56 412 | 99.41 451 | 99.78 21 | 99.77 172 | 99.40 229 |
|
| test_fmvs3 | | | 99.12 69 | 99.41 26 | 98.25 300 | 99.76 30 | 95.07 384 | 99.05 68 | 99.94 3 | 97.78 249 | 99.82 34 | 99.84 3 | 98.56 73 | 99.71 308 | 99.96 1 | 99.96 28 | 99.97 4 |
|
| mvsany_test3 | | | 98.87 112 | 98.92 102 | 98.74 215 | 99.38 185 | 96.94 284 | 98.58 123 | 99.10 309 | 96.49 362 | 99.96 4 | 99.81 8 | 98.18 118 | 99.45 444 | 98.97 89 | 99.79 159 | 99.83 33 |
|
| testf1 | | | 99.25 40 | 99.16 62 | 99.51 49 | 99.89 6 | 99.63 3 | 98.71 106 | 99.69 56 | 98.90 136 | 99.43 108 | 99.35 111 | 98.86 35 | 99.67 342 | 97.81 189 | 99.81 140 | 99.24 298 |
|
| APD_test2 | | | 99.25 40 | 99.16 62 | 99.51 49 | 99.89 6 | 99.63 3 | 98.71 106 | 99.69 56 | 98.90 136 | 99.43 108 | 99.35 111 | 98.86 35 | 99.67 342 | 97.81 189 | 99.81 140 | 99.24 298 |
|
| test_f | | | 98.67 160 | 98.87 111 | 98.05 328 | 99.72 45 | 95.59 349 | 98.51 135 | 99.81 32 | 96.30 373 | 99.78 39 | 99.82 5 | 96.14 276 | 98.63 502 | 99.82 12 | 99.93 57 | 99.95 9 |
|
| FE-MVS | | | 95.66 423 | 94.95 439 | 97.77 351 | 98.53 397 | 95.28 373 | 99.40 19 | 96.09 486 | 93.11 477 | 97.96 364 | 99.26 137 | 79.10 505 | 99.77 264 | 92.40 473 | 98.71 427 | 98.27 444 |
|
| FA-MVS(test-final) | | | 96.99 360 | 96.82 353 | 97.50 389 | 98.70 363 | 94.78 396 | 99.34 23 | 96.99 460 | 95.07 430 | 98.48 314 | 99.33 118 | 88.41 446 | 99.65 362 | 96.13 354 | 98.92 414 | 98.07 454 |
|
| BridgeMVS | | | 98.63 166 | 98.72 132 | 98.38 284 | 98.66 378 | 96.68 302 | 98.90 84 | 99.42 196 | 98.99 124 | 98.97 216 | 99.19 159 | 95.81 298 | 99.85 158 | 98.77 105 | 99.77 172 | 98.60 417 |
|
| MonoMVSNet | | | 96.25 398 | 96.53 378 | 95.39 486 | 96.57 513 | 91.01 494 | 98.82 97 | 97.68 436 | 98.57 174 | 98.03 358 | 99.37 104 | 90.92 421 | 97.78 516 | 94.99 393 | 93.88 530 | 97.38 488 |
|
| patch_mono-2 | | | 98.51 193 | 98.63 152 | 98.17 310 | 99.38 185 | 94.78 396 | 97.36 320 | 99.69 56 | 98.16 215 | 98.49 312 | 99.29 128 | 97.06 217 | 99.97 6 | 98.29 144 | 99.91 80 | 99.76 58 |
|
| EGC-MVSNET | | | 85.24 504 | 80.54 507 | 99.34 83 | 99.77 27 | 99.20 38 | 99.08 62 | 99.29 257 | 12.08 544 | 20.84 545 | 99.42 89 | 97.55 178 | 99.85 158 | 97.08 260 | 99.72 208 | 98.96 363 |
|
| test2506 | | | 92.39 487 | 91.89 489 | 93.89 507 | 99.38 185 | 82.28 541 | 99.32 26 | 66.03 548 | 99.08 114 | 98.77 265 | 99.57 49 | 66.26 531 | 99.84 177 | 98.71 110 | 99.95 39 | 99.54 143 |
|
| test1111 | | | 96.49 382 | 96.82 353 | 95.52 482 | 99.42 176 | 87.08 522 | 99.22 46 | 87.14 540 | 99.11 100 | 99.46 101 | 99.58 47 | 88.69 440 | 99.86 144 | 98.80 100 | 99.95 39 | 99.62 92 |
|
| ECVR-MVS |  | | 96.42 388 | 96.61 372 | 95.85 471 | 99.38 185 | 88.18 517 | 99.22 46 | 86.00 542 | 99.08 114 | 99.36 128 | 99.57 49 | 88.47 445 | 99.82 207 | 98.52 127 | 99.95 39 | 99.54 143 |
|
| test_blank | | | 0.00 514 | 0.00 517 | 0.00 529 | 0.00 552 | 0.00 554 | 0.00 540 | 0.00 553 | 0.00 547 | 0.00 548 | 0.00 547 | 0.00 551 | 0.00 548 | 0.00 546 | 0.00 546 | 0.00 544 |
|
| tt0805 | | | 98.69 151 | 98.62 154 | 98.90 176 | 99.75 34 | 99.30 21 | 99.15 57 | 96.97 462 | 98.86 142 | 98.87 247 | 97.62 432 | 98.63 63 | 98.96 490 | 99.41 56 | 98.29 453 | 98.45 428 |
|
| DVP-MVS++ | | | 98.90 108 | 98.70 138 | 99.51 49 | 98.43 408 | 99.15 52 | 99.43 15 | 99.32 236 | 98.17 212 | 99.26 156 | 99.02 212 | 98.18 118 | 99.88 115 | 97.07 261 | 99.45 322 | 99.49 176 |
|
| FOURS1 | | | | | | 99.73 38 | 99.67 2 | 99.43 15 | 99.54 130 | 99.43 54 | 99.26 156 | | | | | | |
|
| MSC_two_6792asdad | | | | | 99.32 91 | 98.43 408 | 98.37 124 | | 98.86 358 | | | | | 99.89 97 | 97.14 254 | 99.60 272 | 99.71 65 |
|
| PC_three_1452 | | | | | | | | | | 93.27 473 | 99.40 117 | 98.54 339 | 98.22 113 | 97.00 526 | 95.17 390 | 99.45 322 | 99.49 176 |
|
| No_MVS | | | | | 99.32 91 | 98.43 408 | 98.37 124 | | 98.86 358 | | | | | 99.89 97 | 97.14 254 | 99.60 272 | 99.71 65 |
|
| test_one_0601 | | | | | | 99.39 183 | 99.20 38 | | 99.31 241 | 98.49 180 | 98.66 282 | 99.02 212 | 97.64 168 | | | | |
|
| eth-test2 | | | | | | 0.00 552 | | | | | | | | | | | |
|
| eth-test | | | | | | 0.00 552 | | | | | | | | | | | |
|
| GeoE | | | 99.05 83 | 98.99 96 | 99.25 104 | 99.44 169 | 98.35 128 | 98.73 103 | 99.56 119 | 98.42 184 | 98.91 234 | 98.81 282 | 98.94 31 | 99.91 74 | 98.35 140 | 99.73 199 | 99.49 176 |
|
| test_method | | | 79.78 505 | 79.50 508 | 80.62 523 | 80.21 548 | 45.76 551 | 70.82 539 | 98.41 410 | 31.08 543 | 80.89 543 | 97.71 425 | 84.85 474 | 97.37 522 | 91.51 488 | 80.03 539 | 98.75 400 |
|
| Anonymous20240521 | | | 98.69 151 | 98.87 111 | 98.16 313 | 99.77 27 | 95.11 383 | 99.08 62 | 99.44 184 | 99.34 65 | 99.33 137 | 99.55 56 | 94.10 362 | 99.94 41 | 99.25 67 | 99.96 28 | 99.42 217 |
|
| h-mvs33 | | | 97.77 292 | 97.33 317 | 99.10 128 | 99.21 238 | 97.84 193 | 98.35 161 | 98.57 396 | 99.11 100 | 98.58 299 | 99.02 212 | 88.65 443 | 99.96 13 | 98.11 157 | 96.34 508 | 99.49 176 |
|
| hse-mvs2 | | | 97.46 315 | 97.07 334 | 98.64 232 | 98.73 353 | 97.33 242 | 97.45 308 | 97.64 439 | 99.11 100 | 98.58 299 | 97.98 406 | 88.65 443 | 99.79 246 | 98.11 157 | 97.39 489 | 98.81 389 |
|
| CL-MVSNet_self_test | | | 97.44 318 | 97.22 324 | 98.08 323 | 98.57 392 | 95.78 346 | 94.30 492 | 98.79 370 | 96.58 358 | 98.60 295 | 98.19 387 | 94.74 337 | 99.64 367 | 96.41 333 | 98.84 416 | 98.82 384 |
|
| KD-MVS_2432*1600 | | | 92.87 483 | 91.99 485 | 95.51 483 | 91.37 541 | 89.27 511 | 94.07 499 | 98.14 422 | 95.42 418 | 97.25 416 | 96.44 474 | 67.86 525 | 99.24 474 | 91.28 491 | 96.08 517 | 98.02 456 |
|
| KD-MVS_self_test | | | 99.25 40 | 99.18 59 | 99.44 65 | 99.63 83 | 99.06 70 | 98.69 108 | 99.54 130 | 99.31 69 | 99.62 69 | 99.53 64 | 97.36 198 | 99.86 144 | 99.24 69 | 99.71 217 | 99.39 230 |
|
| AUN-MVS | | | 96.24 400 | 95.45 417 | 98.60 244 | 98.70 363 | 97.22 259 | 97.38 315 | 97.65 437 | 95.95 391 | 95.53 489 | 97.96 410 | 82.11 495 | 99.79 246 | 96.31 339 | 97.44 486 | 98.80 394 |
|
| ZD-MVS | | | | | | 99.01 301 | 98.84 85 | | 99.07 314 | 94.10 460 | 98.05 356 | 98.12 393 | 96.36 267 | 99.86 144 | 92.70 466 | 99.19 379 | |
|
| SR-MVS-dyc-post | | | 98.81 127 | 98.55 165 | 99.57 21 | 99.20 242 | 99.38 12 | 98.48 143 | 99.30 249 | 98.64 161 | 98.95 222 | 98.96 240 | 97.49 189 | 99.86 144 | 96.56 320 | 99.39 337 | 99.45 204 |
|
| RE-MVS-def | | | | 98.58 162 | | 99.20 242 | 99.38 12 | 98.48 143 | 99.30 249 | 98.64 161 | 98.95 222 | 98.96 240 | 97.75 159 | | 96.56 320 | 99.39 337 | 99.45 204 |
|
| SED-MVS | | | 98.91 106 | 98.72 132 | 99.49 55 | 99.49 148 | 99.17 43 | 98.10 193 | 99.31 241 | 98.03 226 | 99.66 60 | 99.02 212 | 98.36 90 | 99.88 115 | 96.91 275 | 99.62 265 | 99.41 220 |
|
| IU-MVS | | | | | | 99.49 148 | 99.15 52 | | 98.87 353 | 92.97 480 | 99.41 114 | | | | 96.76 292 | 99.62 265 | 99.66 80 |
|
| OPU-MVS | | | | | 98.82 190 | 98.59 388 | 98.30 132 | 98.10 193 | | | | 98.52 343 | 98.18 118 | 98.75 499 | 94.62 403 | 99.48 318 | 99.41 220 |
|
| test_241102_TWO | | | | | | | | | 99.30 249 | 98.03 226 | 99.26 156 | 99.02 212 | 97.51 185 | 99.88 115 | 96.91 275 | 99.60 272 | 99.66 80 |
|
| test_241102_ONE | | | | | | 99.49 148 | 99.17 43 | | 99.31 241 | 97.98 229 | 99.66 60 | 98.90 255 | 98.36 90 | 99.48 434 | | | |
|
| SF-MVS | | | 98.53 188 | 98.27 220 | 99.32 91 | 99.31 206 | 98.75 90 | 98.19 178 | 99.41 200 | 96.77 348 | 98.83 253 | 98.90 255 | 97.80 155 | 99.82 207 | 95.68 375 | 99.52 303 | 99.38 239 |
|
| cl22 | | | 95.79 419 | 95.39 421 | 96.98 418 | 96.77 509 | 92.79 460 | 94.40 489 | 98.53 400 | 94.59 444 | 97.89 368 | 98.17 388 | 82.82 492 | 99.24 474 | 96.37 335 | 99.03 397 | 98.92 370 |
|
| miper_ehance_all_eth | | | 97.06 353 | 97.03 336 | 97.16 410 | 97.83 458 | 93.06 453 | 94.66 479 | 99.09 311 | 95.99 389 | 98.69 276 | 98.45 354 | 92.73 393 | 99.61 382 | 96.79 288 | 99.03 397 | 98.82 384 |
|
| miper_enhance_ethall | | | 96.01 407 | 95.74 402 | 96.81 429 | 96.41 521 | 92.27 472 | 93.69 509 | 98.89 350 | 91.14 504 | 98.30 331 | 97.35 452 | 90.58 425 | 99.58 398 | 96.31 339 | 99.03 397 | 98.60 417 |
|
| ZNCC-MVS | | | 98.68 157 | 98.40 192 | 99.54 31 | 99.57 103 | 99.21 32 | 98.46 145 | 99.29 257 | 97.28 305 | 98.11 349 | 98.39 360 | 98.00 134 | 99.87 135 | 96.86 285 | 99.64 255 | 99.55 137 |
|
| dcpmvs_2 | | | 98.78 133 | 99.11 74 | 97.78 350 | 99.56 111 | 93.67 444 | 99.06 66 | 99.86 17 | 99.50 43 | 99.66 60 | 99.26 137 | 97.21 209 | 99.99 2 | 98.00 170 | 99.91 80 | 99.68 73 |
|
| cl____ | | | 97.02 356 | 96.83 352 | 97.58 378 | 97.82 459 | 94.04 423 | 94.66 479 | 99.16 298 | 97.04 327 | 98.63 286 | 98.71 301 | 88.68 442 | 99.69 326 | 97.00 266 | 99.81 140 | 99.00 354 |
|
| DIV-MVS_self_test | | | 97.02 356 | 96.84 351 | 97.58 378 | 97.82 459 | 94.03 424 | 94.66 479 | 99.16 298 | 97.04 327 | 98.63 286 | 98.71 301 | 88.69 440 | 99.69 326 | 97.00 266 | 99.81 140 | 99.01 351 |
|
| eth_miper_zixun_eth | | | 97.23 339 | 97.25 321 | 97.17 408 | 98.00 448 | 92.77 461 | 94.71 474 | 99.18 291 | 97.27 307 | 98.56 303 | 98.74 296 | 91.89 407 | 99.69 326 | 97.06 263 | 99.81 140 | 99.05 342 |
|
| 9.14 | | | | 97.78 280 | | 99.07 279 | | 97.53 295 | 99.32 236 | 95.53 413 | 98.54 307 | 98.70 308 | 97.58 175 | 99.76 270 | 94.32 416 | 99.46 320 | |
|
| uanet_test | | | 0.00 514 | 0.00 517 | 0.00 529 | 0.00 552 | 0.00 554 | 0.00 540 | 0.00 553 | 0.00 547 | 0.00 548 | 0.00 547 | 0.00 551 | 0.00 548 | 0.00 546 | 0.00 546 | 0.00 544 |
|
| DCPMVS | | | 0.00 514 | 0.00 517 | 0.00 529 | 0.00 552 | 0.00 554 | 0.00 540 | 0.00 553 | 0.00 547 | 0.00 548 | 0.00 547 | 0.00 551 | 0.00 548 | 0.00 546 | 0.00 546 | 0.00 544 |
|
| save fliter | | | | | | 99.11 270 | 97.97 175 | 96.53 386 | 99.02 327 | 98.24 200 | | | | | | | |
|
| ET-MVSNet_ETH3D | | | 94.30 455 | 93.21 467 | 97.58 378 | 98.14 438 | 94.47 407 | 94.78 473 | 93.24 522 | 94.72 440 | 89.56 534 | 95.87 486 | 78.57 509 | 99.81 224 | 96.91 275 | 97.11 498 | 98.46 425 |
|
| UniMVSNet_ETH3D | | | 99.69 2 | 99.69 4 | 99.69 3 | 99.84 17 | 99.34 19 | 99.69 5 | 99.58 101 | 99.90 3 | 99.86 24 | 99.78 13 | 99.58 6 | 99.95 25 | 99.00 87 | 99.95 39 | 99.78 50 |
|
| EIA-MVS | | | 98.00 265 | 97.74 283 | 98.80 195 | 98.72 355 | 98.09 155 | 98.05 203 | 99.60 92 | 97.39 293 | 96.63 452 | 95.55 492 | 97.68 162 | 99.80 233 | 96.73 297 | 99.27 361 | 98.52 423 |
|
| miper_refine_blended | | | 92.87 483 | 91.99 485 | 95.51 483 | 91.37 541 | 89.27 511 | 94.07 499 | 98.14 422 | 95.42 418 | 97.25 416 | 96.44 474 | 67.86 525 | 99.24 474 | 91.28 491 | 96.08 517 | 98.02 456 |
|
| miper_lstm_enhance | | | 97.18 344 | 97.16 327 | 97.25 404 | 98.16 436 | 92.85 459 | 95.15 464 | 99.31 241 | 97.25 309 | 98.74 271 | 98.78 287 | 90.07 428 | 99.78 258 | 97.19 248 | 99.80 152 | 99.11 337 |
|
| ETV-MVS | | | 98.03 261 | 97.86 275 | 98.56 254 | 98.69 368 | 98.07 162 | 97.51 298 | 99.50 147 | 98.10 222 | 97.50 400 | 95.51 493 | 98.41 85 | 99.88 115 | 96.27 344 | 99.24 367 | 97.71 477 |
|
| CS-MVS | | | 99.13 66 | 99.10 80 | 99.24 106 | 99.06 284 | 99.15 52 | 99.36 22 | 99.88 15 | 99.36 63 | 98.21 339 | 98.46 353 | 98.68 58 | 99.93 53 | 99.03 85 | 99.85 109 | 98.64 414 |
|
| D2MVS | | | 97.84 288 | 97.84 277 | 97.83 346 | 99.14 264 | 94.74 398 | 96.94 354 | 98.88 351 | 95.84 396 | 98.89 238 | 98.96 240 | 94.40 348 | 99.69 326 | 97.55 217 | 99.95 39 | 99.05 342 |
|
| DVP-MVS |  | | 98.77 136 | 98.52 170 | 99.52 44 | 99.50 140 | 99.21 32 | 98.02 210 | 98.84 362 | 97.97 230 | 99.08 189 | 99.02 212 | 97.61 172 | 99.88 115 | 96.99 268 | 99.63 261 | 99.48 187 |
| 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_THIRD | | | | | | | | | | 98.17 212 | 99.08 189 | 99.02 212 | 97.89 147 | 99.88 115 | 97.07 261 | 99.71 217 | 99.70 70 |
|
| test_0728_SECOND | | | | | 99.60 16 | 99.50 140 | 99.23 30 | 98.02 210 | 99.32 236 | | | | | 99.88 115 | 96.99 268 | 99.63 261 | 99.68 73 |
|
| test0726 | | | | | | 99.50 140 | 99.21 32 | 98.17 182 | 99.35 222 | 97.97 230 | 99.26 156 | 99.06 199 | 97.61 172 | | | | |
|
| SR-MVS | | | 98.71 142 | 98.43 188 | 99.57 21 | 99.18 254 | 99.35 16 | 98.36 160 | 99.29 257 | 98.29 197 | 98.88 242 | 98.85 269 | 97.53 182 | 99.87 135 | 96.14 352 | 99.31 353 | 99.48 187 |
|
| DPM-MVS | | | 96.32 392 | 95.59 411 | 98.51 266 | 98.76 349 | 97.21 261 | 94.54 485 | 98.26 415 | 91.94 494 | 96.37 466 | 97.25 455 | 93.06 385 | 99.43 448 | 91.42 489 | 98.74 423 | 98.89 375 |
|
| GST-MVS | | | 98.61 170 | 98.30 214 | 99.52 44 | 99.51 134 | 99.20 38 | 98.26 171 | 99.25 272 | 97.44 288 | 98.67 280 | 98.39 360 | 97.68 162 | 99.85 158 | 96.00 357 | 99.51 306 | 99.52 160 |
|
| test_yl | | | 96.69 370 | 96.29 389 | 97.90 339 | 98.28 422 | 95.24 374 | 97.29 327 | 97.36 444 | 98.21 205 | 98.17 340 | 97.86 414 | 86.27 457 | 99.55 407 | 94.87 397 | 98.32 449 | 98.89 375 |
|
| thisisatest0530 | | | 95.27 437 | 94.45 449 | 97.74 357 | 99.19 246 | 94.37 409 | 97.86 240 | 90.20 535 | 97.17 320 | 98.22 338 | 97.65 429 | 73.53 518 | 99.90 81 | 96.90 280 | 99.35 344 | 98.95 364 |
|
| Anonymous20240529 | | | 98.93 104 | 98.87 111 | 99.12 124 | 99.19 246 | 98.22 142 | 99.01 71 | 98.99 333 | 99.25 76 | 99.54 79 | 99.37 104 | 97.04 218 | 99.80 233 | 97.89 179 | 99.52 303 | 99.35 256 |
|
| Anonymous202405211 | | | 97.90 274 | 97.50 305 | 99.08 134 | 98.90 321 | 98.25 136 | 98.53 129 | 96.16 482 | 98.87 140 | 99.11 184 | 98.86 266 | 90.40 427 | 99.78 258 | 97.36 234 | 99.31 353 | 99.19 316 |
|
| DCV-MVSNet | | | 96.69 370 | 96.29 389 | 97.90 339 | 98.28 422 | 95.24 374 | 97.29 327 | 97.36 444 | 98.21 205 | 98.17 340 | 97.86 414 | 86.27 457 | 99.55 407 | 94.87 397 | 98.32 449 | 98.89 375 |
|
| tttt0517 | | | 95.64 424 | 94.98 437 | 97.64 372 | 99.36 192 | 93.81 439 | 98.72 104 | 90.47 534 | 98.08 225 | 98.67 280 | 98.34 367 | 73.88 517 | 99.92 65 | 97.77 194 | 99.51 306 | 99.20 310 |
|
| our_test_3 | | | 97.39 323 | 97.73 286 | 96.34 445 | 98.70 363 | 89.78 508 | 94.61 482 | 98.97 336 | 96.50 361 | 99.04 201 | 98.85 269 | 95.98 290 | 99.84 177 | 97.26 243 | 99.67 243 | 99.41 220 |
|
| thisisatest0515 | | | 94.12 460 | 93.16 468 | 96.97 419 | 98.60 385 | 92.90 458 | 93.77 508 | 90.61 533 | 94.10 460 | 96.91 434 | 95.87 486 | 74.99 515 | 99.80 233 | 94.52 406 | 99.12 390 | 98.20 446 |
|
| ppachtmachnet_test | | | 97.50 310 | 97.74 283 | 96.78 431 | 98.70 363 | 91.23 491 | 94.55 484 | 99.05 319 | 96.36 368 | 99.21 172 | 98.79 285 | 96.39 263 | 99.78 258 | 96.74 295 | 99.82 133 | 99.34 260 |
|
| SMA-MVS |  | | 98.40 206 | 98.03 254 | 99.51 49 | 99.16 258 | 99.21 32 | 98.05 203 | 99.22 280 | 94.16 457 | 98.98 212 | 99.10 190 | 97.52 184 | 99.79 246 | 96.45 330 | 99.64 255 | 99.53 157 |
| 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 |
| GSMVS | | | | | | | | | | | | | | | | | 98.81 389 |
|
| DPE-MVS |  | | 98.59 174 | 98.26 223 | 99.57 21 | 99.27 218 | 99.15 52 | 97.01 348 | 99.39 206 | 97.67 257 | 99.44 107 | 98.99 229 | 97.53 182 | 99.89 97 | 95.40 385 | 99.68 237 | 99.66 80 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| test_part2 | | | | | | 99.36 192 | 99.10 65 | | | | 99.05 199 | | | | | | |
|
| thres100view900 | | | 94.19 457 | 93.67 461 | 95.75 474 | 99.06 284 | 91.35 485 | 98.03 207 | 94.24 513 | 98.33 190 | 97.40 409 | 94.98 506 | 79.84 499 | 99.62 374 | 83.05 528 | 98.08 465 | 96.29 508 |
|
| tfpnnormal | | | 98.90 108 | 98.90 105 | 98.91 173 | 99.67 68 | 97.82 199 | 99.00 73 | 99.44 184 | 99.45 50 | 99.51 92 | 99.24 144 | 98.20 117 | 99.86 144 | 95.92 361 | 99.69 231 | 99.04 346 |
|
| tfpn200view9 | | | 94.03 461 | 93.44 463 | 95.78 473 | 98.93 313 | 91.44 483 | 97.60 285 | 94.29 510 | 97.94 234 | 97.10 421 | 94.31 514 | 79.67 501 | 99.62 374 | 83.05 528 | 98.08 465 | 96.29 508 |
|
| c3_l | | | 97.36 326 | 97.37 313 | 97.31 399 | 98.09 443 | 93.25 451 | 95.01 467 | 99.16 298 | 97.05 326 | 98.77 265 | 98.72 299 | 92.88 388 | 99.64 367 | 96.93 274 | 99.76 188 | 99.05 342 |
|
| CHOSEN 280x420 | | | 95.51 429 | 95.47 415 | 95.65 479 | 98.25 425 | 88.27 516 | 93.25 518 | 98.88 351 | 93.53 470 | 94.65 504 | 97.15 458 | 86.17 459 | 99.93 53 | 97.41 232 | 99.93 57 | 98.73 403 |
|
| CANet | | | 97.87 281 | 97.76 281 | 98.19 309 | 97.75 462 | 95.51 354 | 96.76 367 | 99.05 319 | 97.74 251 | 96.93 431 | 98.21 385 | 95.59 306 | 99.89 97 | 97.86 186 | 99.93 57 | 99.19 316 |
|
| Fast-Effi-MVS+-dtu | | | 98.27 231 | 98.09 246 | 98.81 192 | 98.43 408 | 98.11 151 | 97.61 284 | 99.50 147 | 98.64 161 | 97.39 411 | 97.52 439 | 98.12 126 | 99.95 25 | 96.90 280 | 98.71 427 | 98.38 438 |
|
| Effi-MVS+-dtu | | | 98.26 233 | 97.90 272 | 99.35 80 | 98.02 447 | 99.49 5 | 98.02 210 | 99.16 298 | 98.29 197 | 97.64 386 | 97.99 405 | 96.44 260 | 99.95 25 | 96.66 308 | 98.93 413 | 98.60 417 |
|
| CANet_DTU | | | 97.26 335 | 97.06 335 | 97.84 345 | 97.57 474 | 94.65 403 | 96.19 411 | 98.79 370 | 97.23 315 | 95.14 495 | 98.24 382 | 93.22 379 | 99.84 177 | 97.34 235 | 99.84 114 | 99.04 346 |
|
| MGCNet | | | 97.44 318 | 97.01 338 | 98.72 219 | 96.42 520 | 96.74 298 | 97.20 338 | 91.97 530 | 98.46 182 | 98.30 331 | 98.79 285 | 92.74 392 | 99.91 74 | 99.30 62 | 99.94 51 | 99.52 160 |
|
| MP-MVS-pluss | | | 98.57 177 | 98.23 228 | 99.60 16 | 99.69 61 | 99.35 16 | 97.16 343 | 99.38 208 | 94.87 436 | 98.97 216 | 98.99 229 | 98.01 133 | 99.88 115 | 97.29 241 | 99.70 226 | 99.58 117 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| MSP-MVS | | | 98.40 206 | 98.00 257 | 99.61 13 | 99.57 103 | 99.25 28 | 98.57 124 | 99.35 222 | 97.55 272 | 99.31 146 | 97.71 425 | 94.61 340 | 99.88 115 | 96.14 352 | 99.19 379 | 99.70 70 |
| 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 |
| sam_mvs1 | | | | | | | | | | | | | 84.74 476 | | | | 98.81 389 |
|
| sam_mvs | | | | | | | | | | | | | 84.29 482 | | | | |
|
| IterMVS-SCA-FT | | | 97.85 287 | 98.18 236 | 96.87 425 | 99.27 218 | 91.16 492 | 95.53 447 | 99.25 272 | 99.10 107 | 99.41 114 | 99.35 111 | 93.10 383 | 99.96 13 | 98.65 114 | 99.94 51 | 99.49 176 |
|
| TSAR-MVS + MP. | | | 98.63 166 | 98.49 179 | 99.06 142 | 99.64 77 | 97.90 187 | 98.51 135 | 98.94 337 | 96.96 331 | 99.24 166 | 98.89 261 | 97.83 151 | 99.81 224 | 96.88 282 | 99.49 317 | 99.48 187 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| xiu_mvs_v1_base_debu | | | 97.86 282 | 98.17 237 | 96.92 422 | 98.98 306 | 93.91 434 | 96.45 391 | 99.17 295 | 97.85 242 | 98.41 322 | 97.14 459 | 98.47 77 | 99.92 65 | 98.02 167 | 99.05 393 | 96.92 496 |
|
| OPM-MVS | | | 98.56 179 | 98.32 212 | 99.25 104 | 99.41 179 | 98.73 94 | 97.13 345 | 99.18 291 | 97.10 324 | 98.75 268 | 98.92 249 | 98.18 118 | 99.65 362 | 96.68 304 | 99.56 289 | 99.37 242 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| ACMMP_NAP | | | 98.75 138 | 98.48 180 | 99.57 21 | 99.58 94 | 99.29 23 | 97.82 244 | 99.25 272 | 96.94 333 | 98.78 262 | 99.12 185 | 98.02 132 | 99.84 177 | 97.13 257 | 99.67 243 | 99.59 109 |
|
| ambc | | | | | 98.24 302 | 98.82 339 | 95.97 335 | 98.62 118 | 99.00 332 | | 99.27 152 | 99.21 154 | 96.99 223 | 99.50 426 | 96.55 323 | 99.50 314 | 99.26 293 |
|
| MTGPA |  | | | | | | | | 99.20 283 | | | | | | | | |
|
| SPE-MVS-test | | | 99.13 66 | 99.09 82 | 99.26 101 | 99.13 267 | 98.97 73 | 99.31 30 | 99.88 15 | 99.44 52 | 98.16 343 | 98.51 344 | 98.64 61 | 99.93 53 | 98.91 93 | 99.85 109 | 98.88 378 |
|
| Effi-MVS+ | | | 98.02 262 | 97.82 278 | 98.62 238 | 98.53 397 | 97.19 263 | 97.33 322 | 99.68 63 | 97.30 303 | 96.68 450 | 97.46 445 | 98.56 73 | 99.80 233 | 96.63 310 | 98.20 456 | 98.86 380 |
|
| xiu_mvs_v2_base | | | 97.16 346 | 97.49 306 | 96.17 456 | 98.54 395 | 92.46 466 | 95.45 451 | 98.84 362 | 97.25 309 | 97.48 402 | 96.49 471 | 98.31 97 | 99.90 81 | 96.34 338 | 98.68 432 | 96.15 512 |
|
| xiu_mvs_v1_base | | | 97.86 282 | 98.17 237 | 96.92 422 | 98.98 306 | 93.91 434 | 96.45 391 | 99.17 295 | 97.85 242 | 98.41 322 | 97.14 459 | 98.47 77 | 99.92 65 | 98.02 167 | 99.05 393 | 96.92 496 |
|
| new-patchmatchnet | | | 98.35 215 | 98.74 128 | 97.18 406 | 99.24 230 | 92.23 473 | 96.42 395 | 99.48 157 | 98.30 194 | 99.69 55 | 99.53 64 | 97.44 193 | 99.82 207 | 98.84 99 | 99.77 172 | 99.49 176 |
|
| pmmvs6 | | | 99.67 3 | 99.70 3 | 99.60 16 | 99.90 4 | 99.27 26 | 99.53 9 | 99.76 39 | 99.64 26 | 99.84 30 | 99.83 4 | 99.50 9 | 99.87 135 | 99.36 57 | 99.92 71 | 99.64 86 |
|
| pmmvs5 | | | 97.64 302 | 97.49 306 | 98.08 323 | 99.14 264 | 95.12 382 | 96.70 371 | 99.05 319 | 93.77 467 | 98.62 290 | 98.83 276 | 93.23 378 | 99.75 282 | 98.33 143 | 99.76 188 | 99.36 250 |
|
| test_post1 | | | | | | | | 97.59 287 | | | | 20.48 546 | 83.07 490 | 99.66 355 | 94.16 417 | | |
|
| test_post | | | | | | | | | | | | 21.25 545 | 83.86 485 | 99.70 316 | | | |
|
| Fast-Effi-MVS+ | | | 97.67 300 | 97.38 312 | 98.57 249 | 98.71 359 | 97.43 237 | 97.23 333 | 99.45 176 | 94.82 438 | 96.13 470 | 96.51 470 | 98.52 75 | 99.91 74 | 96.19 348 | 98.83 417 | 98.37 440 |
|
| patchmatchnet-post | | | | | | | | | | | | 98.77 289 | 84.37 479 | 99.85 158 | | | |
|
| Anonymous20231211 | | | 99.27 37 | 99.27 47 | 99.26 101 | 99.29 212 | 98.18 144 | 99.49 12 | 99.51 142 | 99.70 15 | 99.80 37 | 99.68 25 | 96.84 231 | 99.83 195 | 99.21 70 | 99.91 80 | 99.77 53 |
|
| pmmvs-eth3d | | | 98.47 197 | 98.34 206 | 98.86 179 | 99.30 210 | 97.76 206 | 97.16 343 | 99.28 261 | 95.54 412 | 99.42 112 | 99.19 159 | 97.27 204 | 99.63 370 | 97.89 179 | 99.97 21 | 99.20 310 |
|
| GG-mvs-BLEND | | | | | 94.76 495 | 94.54 534 | 92.13 474 | 99.31 30 | 80.47 546 | | 88.73 537 | 91.01 536 | 67.59 528 | 98.16 510 | 82.30 532 | 94.53 528 | 93.98 520 |
|
| xiu_mvs_v1_base_debi | | | 97.86 282 | 98.17 237 | 96.92 422 | 98.98 306 | 93.91 434 | 96.45 391 | 99.17 295 | 97.85 242 | 98.41 322 | 97.14 459 | 98.47 77 | 99.92 65 | 98.02 167 | 99.05 393 | 96.92 496 |
|
| Anonymous20231206 | | | 98.21 241 | 98.21 229 | 98.20 307 | 99.51 134 | 95.43 364 | 98.13 186 | 99.32 236 | 96.16 380 | 98.93 231 | 98.82 279 | 96.00 285 | 99.83 195 | 97.32 239 | 99.73 199 | 99.36 250 |
|
| MTAPA | | | 98.88 111 | 98.64 150 | 99.61 13 | 99.67 68 | 99.36 15 | 98.43 148 | 99.20 283 | 98.83 149 | 98.89 238 | 98.90 255 | 96.98 224 | 99.92 65 | 97.16 251 | 99.70 226 | 99.56 130 |
|
| MTMP | | | | | | | | 97.93 228 | 91.91 531 | | | | | | | | |
|
| gm-plane-assit | | | | | | 94.83 533 | 81.97 542 | | | 88.07 526 | | 94.99 505 | | 99.60 386 | 91.76 482 | | |
|
| test9_res | | | | | | | | | | | | | | | 93.28 447 | 99.15 384 | 99.38 239 |
|
| MVP-Stereo | | | 98.08 257 | 97.92 269 | 98.57 249 | 98.96 309 | 96.79 294 | 97.90 234 | 99.18 291 | 96.41 367 | 98.46 316 | 98.95 244 | 95.93 294 | 99.60 386 | 96.51 326 | 98.98 408 | 99.31 275 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| TEST9 | | | | | | 98.71 359 | 98.08 159 | 95.96 427 | 99.03 324 | 91.40 500 | 95.85 478 | 97.53 436 | 96.52 256 | 99.76 270 | | | |
|
| train_agg | | | 97.10 348 | 96.45 383 | 99.07 136 | 98.71 359 | 98.08 159 | 95.96 427 | 99.03 324 | 91.64 495 | 95.85 478 | 97.53 436 | 96.47 258 | 99.76 270 | 93.67 434 | 99.16 382 | 99.36 250 |
|
| gg-mvs-nofinetune | | | 92.37 489 | 91.20 493 | 95.85 471 | 95.80 530 | 92.38 469 | 99.31 30 | 81.84 545 | 99.75 10 | 91.83 529 | 99.74 18 | 68.29 524 | 99.02 487 | 87.15 516 | 97.12 497 | 96.16 511 |
|
| SCA | | | 96.41 389 | 96.66 367 | 95.67 477 | 98.24 427 | 88.35 515 | 95.85 436 | 96.88 468 | 96.11 381 | 97.67 385 | 98.67 314 | 93.10 383 | 99.85 158 | 94.16 417 | 99.22 371 | 98.81 389 |
|
| Patchmatch-test | | | 96.55 378 | 96.34 386 | 97.17 408 | 98.35 415 | 93.06 453 | 98.40 156 | 97.79 430 | 97.33 298 | 98.41 322 | 98.67 314 | 83.68 486 | 99.69 326 | 95.16 391 | 99.31 353 | 98.77 397 |
|
| test_8 | | | | | | 98.67 373 | 98.01 168 | 95.91 433 | 99.02 327 | 91.64 495 | 95.79 481 | 97.50 440 | 96.47 258 | 99.76 270 | | | |
|
| MS-PatchMatch | | | 97.68 299 | 97.75 282 | 97.45 394 | 98.23 430 | 93.78 440 | 97.29 327 | 98.84 362 | 96.10 382 | 98.64 285 | 98.65 320 | 96.04 282 | 99.36 457 | 96.84 286 | 99.14 385 | 99.20 310 |
|
| Patchmatch-RL test | | | 97.26 335 | 97.02 337 | 97.99 334 | 99.52 131 | 95.53 353 | 96.13 416 | 99.71 48 | 97.47 280 | 99.27 152 | 99.16 169 | 84.30 481 | 99.62 374 | 97.89 179 | 99.77 172 | 98.81 389 |
|
| cdsmvs_eth3d_5k | | | 24.66 509 | 32.88 512 | 0.00 529 | 0.00 552 | 0.00 554 | 0.00 540 | 99.10 309 | 0.00 547 | 0.00 548 | 97.58 433 | 99.21 18 | 0.00 548 | 0.00 546 | 0.00 546 | 0.00 544 |
|
| pcd_1.5k_mvsjas | | | 8.17 512 | 10.90 515 | 0.00 529 | 0.00 552 | 0.00 554 | 0.00 540 | 0.00 553 | 0.00 547 | 0.00 548 | 0.00 547 | 98.07 128 | 0.00 548 | 0.00 546 | 0.00 546 | 0.00 544 |
|
| agg_prior2 | | | | | | | | | | | | | | | 92.50 471 | 99.16 382 | 99.37 242 |
|
| agg_prior | | | | | | 98.68 372 | 97.99 171 | | 99.01 330 | | 95.59 482 | | | 99.77 264 | | | |
|
| tmp_tt | | | 78.77 506 | 78.73 509 | 78.90 524 | 58.45 549 | 74.76 548 | 94.20 495 | 78.26 547 | 39.16 542 | 86.71 538 | 92.82 526 | 80.50 497 | 75.19 544 | 86.16 522 | 92.29 533 | 86.74 538 |
|
| canonicalmvs | | | 98.34 216 | 98.26 223 | 98.58 246 | 98.46 403 | 97.82 199 | 98.96 78 | 99.46 172 | 99.19 89 | 97.46 403 | 95.46 497 | 98.59 67 | 99.46 441 | 98.08 160 | 98.71 427 | 98.46 425 |
|
| anonymousdsp | | | 99.51 14 | 99.47 21 | 99.62 9 | 99.88 9 | 99.08 69 | 99.34 23 | 99.69 56 | 98.93 132 | 99.65 63 | 99.72 21 | 98.93 33 | 99.95 25 | 99.11 77 | 100.00 1 | 99.82 36 |
|
| alignmvs | | | 97.35 327 | 96.88 348 | 98.78 202 | 98.54 395 | 98.09 155 | 97.71 264 | 97.69 434 | 99.20 84 | 97.59 391 | 95.90 485 | 88.12 449 | 99.55 407 | 98.18 152 | 98.96 410 | 98.70 407 |
|
| nrg030 | | | 99.40 25 | 99.35 33 | 99.54 31 | 99.58 94 | 99.13 60 | 98.98 76 | 99.48 157 | 99.68 19 | 99.46 101 | 99.26 137 | 98.62 64 | 99.73 296 | 99.17 74 | 99.92 71 | 99.76 58 |
|
| v144192 | | | 98.54 186 | 98.57 163 | 98.45 275 | 99.21 238 | 95.98 333 | 97.63 278 | 99.36 216 | 97.15 323 | 99.32 143 | 99.18 163 | 95.84 297 | 99.84 177 | 99.50 50 | 99.91 80 | 99.54 143 |
|
| FIs | | | 99.14 62 | 99.09 82 | 99.29 95 | 99.70 57 | 98.28 133 | 99.13 59 | 99.52 140 | 99.48 44 | 99.24 166 | 99.41 94 | 96.79 238 | 99.82 207 | 98.69 112 | 99.88 95 | 99.76 58 |
|
| v1921920 | | | 98.54 186 | 98.60 159 | 98.38 284 | 99.20 242 | 95.76 347 | 97.56 290 | 99.36 216 | 97.23 315 | 99.38 121 | 99.17 167 | 96.02 283 | 99.84 177 | 99.57 39 | 99.90 88 | 99.54 143 |
|
| UA-Net | | | 99.47 16 | 99.40 27 | 99.70 2 | 99.49 148 | 99.29 23 | 99.80 4 | 99.72 46 | 99.82 8 | 99.04 201 | 99.81 8 | 98.05 131 | 99.96 13 | 98.85 98 | 99.99 5 | 99.86 28 |
|
| v1192 | | | 98.60 172 | 98.66 146 | 98.41 280 | 99.27 218 | 95.88 339 | 97.52 296 | 99.36 216 | 97.41 290 | 99.33 137 | 99.20 156 | 96.37 266 | 99.82 207 | 99.57 39 | 99.92 71 | 99.55 137 |
|
| FC-MVSNet-test | | | 99.27 37 | 99.25 52 | 99.34 83 | 99.77 27 | 98.37 124 | 99.30 35 | 99.57 109 | 99.61 34 | 99.40 117 | 99.50 68 | 97.12 214 | 99.85 158 | 99.02 86 | 99.94 51 | 99.80 45 |
|
| v1144 | | | 98.60 172 | 98.66 146 | 98.41 280 | 99.36 192 | 95.90 337 | 97.58 288 | 99.34 228 | 97.51 276 | 99.27 152 | 99.15 175 | 96.34 268 | 99.80 233 | 99.47 53 | 99.93 57 | 99.51 164 |
|
| sosnet-low-res | | | 0.00 514 | 0.00 517 | 0.00 529 | 0.00 552 | 0.00 554 | 0.00 540 | 0.00 553 | 0.00 547 | 0.00 548 | 0.00 547 | 0.00 551 | 0.00 548 | 0.00 546 | 0.00 546 | 0.00 544 |
|
| HFP-MVS | | | 98.71 142 | 98.44 187 | 99.51 49 | 99.49 148 | 99.16 48 | 98.52 130 | 99.31 241 | 97.47 280 | 98.58 299 | 98.50 348 | 97.97 138 | 99.85 158 | 96.57 316 | 99.59 276 | 99.53 157 |
|
| v148 | | | 98.45 200 | 98.60 159 | 98.00 332 | 99.44 169 | 94.98 386 | 97.44 310 | 99.06 315 | 98.30 194 | 99.32 143 | 98.97 236 | 96.65 250 | 99.62 374 | 98.37 139 | 99.85 109 | 99.39 230 |
|
| sosnet | | | 0.00 514 | 0.00 517 | 0.00 529 | 0.00 552 | 0.00 554 | 0.00 540 | 0.00 553 | 0.00 547 | 0.00 548 | 0.00 547 | 0.00 551 | 0.00 548 | 0.00 546 | 0.00 546 | 0.00 544 |
|
| uncertanet | | | 0.00 514 | 0.00 517 | 0.00 529 | 0.00 552 | 0.00 554 | 0.00 540 | 0.00 553 | 0.00 547 | 0.00 548 | 0.00 547 | 0.00 551 | 0.00 548 | 0.00 546 | 0.00 546 | 0.00 544 |
|
| AllTest | | | 98.44 201 | 98.20 230 | 99.16 118 | 99.50 140 | 98.55 108 | 98.25 172 | 99.58 101 | 96.80 345 | 98.88 242 | 99.06 199 | 97.65 165 | 99.57 400 | 94.45 409 | 99.61 270 | 99.37 242 |
|
| TestCases | | | | | 99.16 118 | 99.50 140 | 98.55 108 | | 99.58 101 | 96.80 345 | 98.88 242 | 99.06 199 | 97.65 165 | 99.57 400 | 94.45 409 | 99.61 270 | 99.37 242 |
|
| v7n | | | 99.53 12 | 99.57 13 | 99.41 69 | 99.88 9 | 98.54 111 | 99.45 14 | 99.61 90 | 99.66 23 | 99.68 57 | 99.66 32 | 98.44 84 | 99.95 25 | 99.73 28 | 99.96 28 | 99.75 62 |
|
| region2R | | | 98.69 151 | 98.40 192 | 99.54 31 | 99.53 127 | 99.17 43 | 98.52 130 | 99.31 241 | 97.46 285 | 98.44 319 | 98.51 344 | 97.83 151 | 99.88 115 | 96.46 329 | 99.58 281 | 99.58 117 |
|
| RRT-MVS | | | 97.88 279 | 97.98 259 | 97.61 375 | 98.15 437 | 93.77 441 | 98.97 77 | 99.64 78 | 99.16 94 | 98.69 276 | 99.42 89 | 91.60 409 | 99.89 97 | 97.63 209 | 98.52 444 | 99.16 330 |
|
| balanced_ft_v1 | | | 98.28 230 | 98.35 205 | 98.10 318 | 98.08 444 | 96.23 323 | 99.23 45 | 99.26 270 | 98.34 188 | 97.46 403 | 99.42 89 | 95.38 315 | 99.88 115 | 98.60 117 | 99.34 346 | 98.17 448 |
|
| PS-MVSNAJss | | | 99.46 17 | 99.49 16 | 99.35 80 | 99.90 4 | 98.15 146 | 99.20 49 | 99.65 76 | 99.48 44 | 99.92 8 | 99.71 22 | 98.07 128 | 99.96 13 | 99.53 48 | 100.00 1 | 99.93 11 |
|
| PS-MVSNAJ | | | 97.08 351 | 97.39 311 | 96.16 458 | 98.56 393 | 92.46 466 | 95.24 460 | 98.85 361 | 97.25 309 | 97.49 401 | 95.99 482 | 98.07 128 | 99.90 81 | 96.37 335 | 98.67 433 | 96.12 513 |
|
| jajsoiax | | | 99.58 9 | 99.61 11 | 99.48 57 | 99.87 12 | 98.61 103 | 99.28 40 | 99.66 70 | 99.09 110 | 99.89 18 | 99.68 25 | 99.53 7 | 99.97 6 | 99.50 50 | 99.99 5 | 99.87 22 |
|
| mvs_tets | | | 99.63 6 | 99.67 6 | 99.49 55 | 99.88 9 | 98.61 103 | 99.34 23 | 99.71 48 | 99.27 74 | 99.90 14 | 99.74 18 | 99.68 4 | 99.97 6 | 99.55 43 | 99.99 5 | 99.88 20 |
|
| EI-MVSNet-UG-set | | | 98.69 151 | 98.71 135 | 98.62 238 | 99.10 272 | 96.37 318 | 97.23 333 | 98.87 353 | 99.20 84 | 99.19 174 | 98.99 229 | 97.30 201 | 99.85 158 | 98.77 105 | 99.79 159 | 99.65 85 |
|
| EI-MVSNet-Vis-set | | | 98.68 157 | 98.70 138 | 98.63 236 | 99.09 275 | 96.40 317 | 97.23 333 | 98.86 358 | 99.20 84 | 99.18 179 | 98.97 236 | 97.29 203 | 99.85 158 | 98.72 109 | 99.78 164 | 99.64 86 |
|
| HPM-MVS++ |  | | 98.10 253 | 97.64 296 | 99.48 57 | 99.09 275 | 99.13 60 | 97.52 296 | 98.75 379 | 97.46 285 | 96.90 437 | 97.83 418 | 96.01 284 | 99.84 177 | 95.82 369 | 99.35 344 | 99.46 198 |
|
| test_prior4 | | | | | | | 97.97 175 | 95.86 434 | | | | | | | | | |
|
| XVS | | | 98.72 141 | 98.45 185 | 99.53 38 | 99.46 162 | 99.21 32 | 98.65 114 | 99.34 228 | 98.62 166 | 97.54 396 | 98.63 326 | 97.50 186 | 99.83 195 | 96.79 288 | 99.53 300 | 99.56 130 |
|
| v1240 | | | 98.55 183 | 98.62 154 | 98.32 291 | 99.22 236 | 95.58 351 | 97.51 298 | 99.45 176 | 97.16 321 | 99.45 106 | 99.24 144 | 96.12 280 | 99.85 158 | 99.60 37 | 99.88 95 | 99.55 137 |
|
| pm-mvs1 | | | 99.44 19 | 99.48 18 | 99.33 89 | 99.80 21 | 98.63 100 | 99.29 36 | 99.63 81 | 99.30 71 | 99.65 63 | 99.60 45 | 99.16 22 | 99.82 207 | 99.07 80 | 99.83 126 | 99.56 130 |
|
| test_prior2 | | | | | | | | 95.74 441 | | 96.48 363 | 96.11 471 | 97.63 431 | 95.92 295 | | 94.16 417 | 99.20 376 | |
|
| X-MVStestdata | | | 94.32 453 | 92.59 475 | 99.53 38 | 99.46 162 | 99.21 32 | 98.65 114 | 99.34 228 | 98.62 166 | 97.54 396 | 45.85 542 | 97.50 186 | 99.83 195 | 96.79 288 | 99.53 300 | 99.56 130 |
|
| test_prior | | | | | 98.95 164 | 98.69 368 | 97.95 179 | | 99.03 324 | | | | | 99.59 391 | | | 99.30 279 |
|
| 旧先验2 | | | | | | | | 95.76 440 | | 88.56 523 | 97.52 398 | | | 99.66 355 | 94.48 407 | | |
|
| 新几何2 | | | | | | | | 95.93 430 | | | | | | | | | |
|
| 新几何1 | | | | | 98.91 173 | 98.94 311 | 97.76 206 | | 98.76 375 | 87.58 527 | 96.75 446 | 98.10 395 | 94.80 334 | 99.78 258 | 92.73 465 | 99.00 403 | 99.20 310 |
|
| 旧先验1 | | | | | | 98.82 339 | 97.45 234 | | 98.76 375 | | | 98.34 367 | 95.50 310 | | | 99.01 402 | 99.23 300 |
|
| 无先验 | | | | | | | | 95.74 441 | 98.74 381 | 89.38 516 | | | | 99.73 296 | 92.38 474 | | 99.22 305 |
|
| 原ACMM2 | | | | | | | | 95.53 447 | | | | | | | | | |
|
| 原ACMM1 | | | | | 98.35 289 | 98.90 321 | 96.25 322 | | 98.83 366 | 92.48 488 | 96.07 473 | 98.10 395 | 95.39 314 | 99.71 308 | 92.61 468 | 98.99 405 | 99.08 338 |
|
| test222 | | | | | | 98.92 317 | 96.93 285 | 95.54 446 | 98.78 372 | 85.72 530 | 96.86 441 | 98.11 394 | 94.43 345 | | | 99.10 392 | 99.23 300 |
|
| testdata2 | | | | | | | | | | | | | | 99.79 246 | 92.80 462 | | |
|
| segment_acmp | | | | | | | | | | | | | 97.02 221 | | | | |
|
| testdata | | | | | 98.09 320 | 98.93 313 | 95.40 365 | | 98.80 369 | 90.08 512 | 97.45 406 | 98.37 363 | 95.26 317 | 99.70 316 | 93.58 438 | 98.95 411 | 99.17 324 |
|
| testdata1 | | | | | | | | 95.44 452 | | 96.32 370 | | | | | | | |
|
| v8 | | | 99.01 90 | 99.16 62 | 98.57 249 | 99.47 159 | 96.31 321 | 98.90 84 | 99.47 167 | 99.03 121 | 99.52 87 | 99.57 49 | 96.93 227 | 99.81 224 | 99.60 37 | 99.98 12 | 99.60 102 |
|
| 1314 | | | 95.74 420 | 95.60 409 | 96.17 456 | 97.53 479 | 92.75 462 | 98.07 200 | 98.31 413 | 91.22 502 | 94.25 508 | 96.68 467 | 95.53 307 | 99.03 485 | 91.64 485 | 97.18 496 | 96.74 502 |
|
| LFMVS | | | 97.20 342 | 96.72 360 | 98.64 232 | 98.72 355 | 96.95 283 | 98.93 82 | 94.14 515 | 99.74 12 | 98.78 262 | 99.01 223 | 84.45 478 | 99.73 296 | 97.44 230 | 99.27 361 | 99.25 294 |
|
| VDD-MVS | | | 98.56 179 | 98.39 195 | 99.07 136 | 99.13 267 | 98.07 162 | 98.59 122 | 97.01 459 | 99.59 36 | 99.11 184 | 99.27 131 | 94.82 331 | 99.79 246 | 98.34 141 | 99.63 261 | 99.34 260 |
|
| VDDNet | | | 98.21 241 | 97.95 263 | 99.01 151 | 99.58 94 | 97.74 208 | 99.01 71 | 97.29 450 | 99.67 20 | 98.97 216 | 99.50 68 | 90.45 426 | 99.80 233 | 97.88 182 | 99.20 376 | 99.48 187 |
|
| v10 | | | 98.97 99 | 99.11 74 | 98.55 256 | 99.44 169 | 96.21 324 | 98.90 84 | 99.55 124 | 98.73 151 | 99.48 96 | 99.60 45 | 96.63 252 | 99.83 195 | 99.70 33 | 99.99 5 | 99.61 100 |
|
| VPNet | | | 98.87 112 | 98.83 120 | 99.01 151 | 99.70 57 | 97.62 220 | 98.43 148 | 99.35 222 | 99.47 47 | 99.28 150 | 99.05 206 | 96.72 245 | 99.82 207 | 98.09 159 | 99.36 341 | 99.59 109 |
|
| MVS | | | 93.19 476 | 92.09 482 | 96.50 439 | 96.91 504 | 94.03 424 | 98.07 200 | 98.06 426 | 68.01 540 | 94.56 506 | 96.48 472 | 95.96 292 | 99.30 468 | 83.84 526 | 96.89 502 | 96.17 510 |
|
| v2v482 | | | 98.56 179 | 98.62 154 | 98.37 287 | 99.42 176 | 95.81 344 | 97.58 288 | 99.16 298 | 97.90 238 | 99.28 150 | 99.01 223 | 95.98 290 | 99.79 246 | 99.33 59 | 99.90 88 | 99.51 164 |
|
| V42 | | | 98.78 133 | 98.78 126 | 98.76 209 | 99.44 169 | 97.04 276 | 98.27 170 | 99.19 287 | 97.87 240 | 99.25 164 | 99.16 169 | 96.84 231 | 99.78 258 | 99.21 70 | 99.84 114 | 99.46 198 |
|
| SD-MVS | | | 98.40 206 | 98.68 141 | 97.54 385 | 98.96 309 | 97.99 171 | 97.88 236 | 99.36 216 | 98.20 209 | 99.63 66 | 99.04 208 | 98.76 46 | 95.33 537 | 96.56 320 | 99.74 195 | 99.31 275 |
| 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 |
| GA-MVS | | | 95.86 416 | 95.32 426 | 97.49 390 | 98.60 385 | 94.15 417 | 93.83 507 | 97.93 428 | 95.49 414 | 96.68 450 | 97.42 447 | 83.21 488 | 99.30 468 | 96.22 346 | 98.55 442 | 99.01 351 |
|
| MSLP-MVS++ | | | 98.02 262 | 98.14 243 | 97.64 372 | 98.58 390 | 95.19 379 | 97.48 302 | 99.23 279 | 97.47 280 | 97.90 367 | 98.62 329 | 97.04 218 | 98.81 497 | 97.55 217 | 99.41 334 | 98.94 368 |
|
| APDe-MVS |  | | 98.99 94 | 98.79 124 | 99.60 16 | 99.21 238 | 99.15 52 | 98.87 89 | 99.48 157 | 97.57 268 | 99.35 130 | 99.24 144 | 97.83 151 | 99.89 97 | 97.88 182 | 99.70 226 | 99.75 62 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| APD-MVS_3200maxsize | | | 98.84 119 | 98.61 158 | 99.53 38 | 99.19 246 | 99.27 26 | 98.49 140 | 99.33 234 | 98.64 161 | 99.03 204 | 98.98 234 | 97.89 147 | 99.85 158 | 96.54 324 | 99.42 333 | 99.46 198 |
|
| ADS-MVSNet2 | | | 95.43 433 | 94.98 437 | 96.76 432 | 98.14 438 | 91.74 476 | 97.92 231 | 97.76 431 | 90.23 508 | 96.51 462 | 98.91 252 | 85.61 467 | 99.85 158 | 92.88 458 | 96.90 500 | 98.69 408 |
|
| EI-MVSNet | | | 98.40 206 | 98.51 171 | 98.04 329 | 99.10 272 | 94.73 399 | 97.20 338 | 98.87 353 | 98.97 127 | 99.06 191 | 99.02 212 | 96.00 285 | 99.80 233 | 98.58 119 | 99.82 133 | 99.60 102 |
|
| Regformer | | | 0.00 514 | 0.00 517 | 0.00 529 | 0.00 552 | 0.00 554 | 0.00 540 | 0.00 553 | 0.00 547 | 0.00 548 | 0.00 547 | 0.00 551 | 0.00 548 | 0.00 546 | 0.00 546 | 0.00 544 |
|
| CVMVSNet | | | 96.25 398 | 97.21 325 | 93.38 515 | 99.10 272 | 80.56 545 | 97.20 338 | 98.19 421 | 96.94 333 | 99.00 207 | 99.02 212 | 89.50 436 | 99.80 233 | 96.36 337 | 99.59 276 | 99.78 50 |
|
| pmmvs4 | | | 97.58 307 | 97.28 318 | 98.51 266 | 98.84 334 | 96.93 285 | 95.40 454 | 98.52 402 | 93.60 469 | 98.61 292 | 98.65 320 | 95.10 323 | 99.60 386 | 96.97 272 | 99.79 159 | 98.99 355 |
|
| EU-MVSNet | | | 97.66 301 | 98.50 174 | 95.13 491 | 99.63 83 | 85.84 525 | 98.35 161 | 98.21 418 | 98.23 201 | 99.54 79 | 99.46 80 | 95.02 325 | 99.68 337 | 98.24 146 | 99.87 100 | 99.87 22 |
|
| VNet | | | 98.42 202 | 98.30 214 | 98.79 199 | 98.79 348 | 97.29 251 | 98.23 173 | 98.66 387 | 99.31 69 | 98.85 249 | 98.80 283 | 94.80 334 | 99.78 258 | 98.13 155 | 99.13 387 | 99.31 275 |
|
| test-LLR | | | 93.90 463 | 93.85 457 | 94.04 504 | 96.53 514 | 84.62 531 | 94.05 501 | 92.39 524 | 96.17 376 | 94.12 510 | 95.07 502 | 82.30 493 | 99.67 342 | 95.87 365 | 98.18 457 | 97.82 466 |
|
| TESTMET0.1,1 | | | 92.19 492 | 91.77 490 | 93.46 511 | 96.48 519 | 82.80 540 | 94.05 501 | 91.52 532 | 94.45 450 | 94.00 514 | 94.88 508 | 66.65 529 | 99.56 403 | 95.78 370 | 98.11 463 | 98.02 456 |
|
| test-mter | | | 92.33 490 | 91.76 491 | 94.04 504 | 96.53 514 | 84.62 531 | 94.05 501 | 92.39 524 | 94.00 465 | 94.12 510 | 95.07 502 | 65.63 535 | 99.67 342 | 95.87 365 | 98.18 457 | 97.82 466 |
|
| VPA-MVSNet | | | 99.30 33 | 99.30 44 | 99.28 96 | 99.49 148 | 98.36 127 | 99.00 73 | 99.45 176 | 99.63 28 | 99.52 87 | 99.44 85 | 98.25 107 | 99.88 115 | 99.09 79 | 99.84 114 | 99.62 92 |
|
| ACMMPR | | | 98.70 147 | 98.42 190 | 99.54 31 | 99.52 131 | 99.14 57 | 98.52 130 | 99.31 241 | 97.47 280 | 98.56 303 | 98.54 339 | 97.75 159 | 99.88 115 | 96.57 316 | 99.59 276 | 99.58 117 |
|
| testgi | | | 98.32 221 | 98.39 195 | 98.13 315 | 99.57 103 | 95.54 352 | 97.78 250 | 99.49 155 | 97.37 295 | 99.19 174 | 97.65 429 | 98.96 30 | 99.49 430 | 96.50 327 | 98.99 405 | 99.34 260 |
|
| test20.03 | | | 98.78 133 | 98.77 127 | 98.78 202 | 99.46 162 | 97.20 262 | 97.78 250 | 99.24 277 | 99.04 119 | 99.41 114 | 98.90 255 | 97.65 165 | 99.76 270 | 97.70 204 | 99.79 159 | 99.39 230 |
|
| thres600view7 | | | 94.45 451 | 93.83 458 | 96.29 447 | 99.06 284 | 91.53 480 | 97.99 221 | 94.24 513 | 98.34 188 | 97.44 407 | 95.01 504 | 79.84 499 | 99.67 342 | 84.33 525 | 98.23 454 | 97.66 478 |
|
| ADS-MVSNet | | | 95.24 438 | 94.93 440 | 96.18 455 | 98.14 438 | 90.10 505 | 97.92 231 | 97.32 449 | 90.23 508 | 96.51 462 | 98.91 252 | 85.61 467 | 99.74 289 | 92.88 458 | 96.90 500 | 98.69 408 |
|
| MP-MVS |  | | 98.46 198 | 98.09 246 | 99.54 31 | 99.57 103 | 99.22 31 | 98.50 137 | 99.19 287 | 97.61 264 | 97.58 392 | 98.66 318 | 97.40 195 | 99.88 115 | 94.72 402 | 99.60 272 | 99.54 143 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| testmvs | | | 17.12 510 | 20.53 513 | 6.87 528 | 12.05 550 | 4.20 553 | 93.62 511 | 6.73 551 | 4.62 546 | 10.41 546 | 24.33 543 | 8.28 550 | 3.56 547 | 9.69 545 | 15.07 544 | 12.86 543 |
|
| thres400 | | | 94.14 459 | 93.44 463 | 96.24 450 | 98.93 313 | 91.44 483 | 97.60 285 | 94.29 510 | 97.94 234 | 97.10 421 | 94.31 514 | 79.67 501 | 99.62 374 | 83.05 528 | 98.08 465 | 97.66 478 |
|
| test123 | | | 17.04 511 | 20.11 514 | 7.82 527 | 10.25 551 | 4.91 552 | 94.80 472 | 4.47 552 | 4.93 545 | 10.00 547 | 24.28 544 | 9.69 549 | 3.64 546 | 10.14 544 | 12.43 545 | 14.92 542 |
|
| thres200 | | | 93.72 467 | 93.14 469 | 95.46 485 | 98.66 378 | 91.29 487 | 96.61 380 | 94.63 505 | 97.39 293 | 96.83 442 | 93.71 517 | 79.88 498 | 99.56 403 | 82.40 531 | 98.13 462 | 95.54 517 |
|
| test0.0.03 1 | | | 94.51 450 | 93.69 460 | 96.99 417 | 96.05 525 | 93.61 448 | 94.97 468 | 93.49 519 | 96.17 376 | 97.57 394 | 94.88 508 | 82.30 493 | 99.01 489 | 93.60 437 | 94.17 529 | 98.37 440 |
|
| pmmvs3 | | | 95.03 443 | 94.40 451 | 96.93 421 | 97.70 468 | 92.53 465 | 95.08 465 | 97.71 433 | 88.57 522 | 97.71 382 | 98.08 398 | 79.39 503 | 99.82 207 | 96.19 348 | 99.11 391 | 98.43 433 |
|
| EMVS | | | 93.83 464 | 94.02 455 | 93.23 516 | 96.83 507 | 84.96 528 | 89.77 533 | 96.32 480 | 97.92 236 | 97.43 408 | 96.36 477 | 86.17 459 | 98.93 492 | 87.68 515 | 97.73 477 | 95.81 515 |
|
| E-PMN | | | 94.17 458 | 94.37 452 | 93.58 510 | 96.86 505 | 85.71 527 | 90.11 532 | 97.07 458 | 98.17 212 | 97.82 377 | 97.19 456 | 84.62 477 | 98.94 491 | 89.77 507 | 97.68 478 | 96.09 514 |
|
| PGM-MVS | | | 98.66 161 | 98.37 200 | 99.55 28 | 99.53 127 | 99.18 42 | 98.23 173 | 99.49 155 | 97.01 330 | 98.69 276 | 98.88 263 | 98.00 134 | 99.89 97 | 95.87 365 | 99.59 276 | 99.58 117 |
|
| LCM-MVSNet-Re | | | 98.64 164 | 98.48 180 | 99.11 126 | 98.85 333 | 98.51 113 | 98.49 140 | 99.83 26 | 98.37 185 | 99.69 55 | 99.46 80 | 98.21 115 | 99.92 65 | 94.13 421 | 99.30 357 | 98.91 373 |
|
| LCM-MVSNet | | | 99.93 1 | 99.92 1 | 99.94 1 | 99.99 1 | 99.97 1 | 99.90 1 | 99.89 14 | 99.98 1 | 99.99 1 | 99.96 1 | 99.77 2 | 100.00 1 | 99.81 16 | 100.00 1 | 99.85 30 |
|
| MCST-MVS | | | 98.00 265 | 97.63 298 | 99.10 128 | 99.24 230 | 98.17 145 | 96.89 360 | 98.73 382 | 95.66 405 | 97.92 365 | 97.70 427 | 97.17 211 | 99.66 355 | 96.18 350 | 99.23 370 | 99.47 195 |
|
| mvs_anonymous | | | 97.83 290 | 98.16 240 | 96.87 425 | 98.18 433 | 91.89 475 | 97.31 325 | 98.90 347 | 97.37 295 | 98.83 253 | 99.46 80 | 96.28 271 | 99.79 246 | 98.90 94 | 98.16 460 | 98.95 364 |
|
| MVS_Test | | | 98.18 246 | 98.36 202 | 97.67 365 | 98.48 400 | 94.73 399 | 98.18 179 | 99.02 327 | 97.69 255 | 98.04 357 | 99.11 187 | 97.22 208 | 99.56 403 | 98.57 121 | 98.90 415 | 98.71 404 |
|
| MDA-MVSNet-bldmvs | | | 97.94 272 | 97.91 271 | 98.06 326 | 99.44 169 | 94.96 387 | 96.63 378 | 99.15 303 | 98.35 187 | 98.83 253 | 99.11 187 | 94.31 353 | 99.85 158 | 96.60 313 | 98.72 425 | 99.37 242 |
|
| CDPH-MVS | | | 97.26 335 | 96.66 367 | 99.07 136 | 99.00 302 | 98.15 146 | 96.03 422 | 99.01 330 | 91.21 503 | 97.79 378 | 97.85 416 | 96.89 229 | 99.69 326 | 92.75 464 | 99.38 340 | 99.39 230 |
|
| test12 | | | | | 98.93 168 | 98.58 390 | 97.83 194 | | 98.66 387 | | 96.53 458 | | 95.51 309 | 99.69 326 | | 99.13 387 | 99.27 287 |
|
| casdiffmvs |  | | 98.95 102 | 99.00 94 | 98.81 192 | 99.38 185 | 97.33 242 | 97.82 244 | 99.57 109 | 99.17 93 | 99.35 130 | 99.17 167 | 98.35 94 | 99.69 326 | 98.46 129 | 99.73 199 | 99.41 220 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| diffmvs |  | | 98.22 238 | 98.24 227 | 98.17 310 | 99.00 302 | 95.44 363 | 96.38 397 | 99.58 101 | 97.79 248 | 98.53 308 | 98.50 348 | 96.76 241 | 99.74 289 | 97.95 177 | 99.64 255 | 99.34 260 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| baseline2 | | | 93.73 466 | 92.83 473 | 96.42 442 | 97.70 468 | 91.28 488 | 96.84 362 | 89.77 536 | 93.96 466 | 92.44 526 | 95.93 484 | 79.14 504 | 99.77 264 | 92.94 455 | 96.76 504 | 98.21 445 |
|
| baseline1 | | | 95.96 413 | 95.44 418 | 97.52 387 | 98.51 399 | 93.99 431 | 98.39 157 | 96.09 486 | 98.21 205 | 98.40 327 | 97.76 423 | 86.88 453 | 99.63 370 | 95.42 384 | 89.27 535 | 98.95 364 |
|
| YYNet1 | | | 97.60 304 | 97.67 291 | 97.39 398 | 99.04 288 | 93.04 456 | 95.27 458 | 98.38 411 | 97.25 309 | 98.92 233 | 98.95 244 | 95.48 311 | 99.73 296 | 96.99 268 | 98.74 423 | 99.41 220 |
|
| PMMVS2 | | | 98.07 258 | 98.08 249 | 98.04 329 | 99.41 179 | 94.59 405 | 94.59 483 | 99.40 204 | 97.50 277 | 98.82 256 | 98.83 276 | 96.83 233 | 99.84 177 | 97.50 223 | 99.81 140 | 99.71 65 |
|
| MDA-MVSNet_test_wron | | | 97.60 304 | 97.66 294 | 97.41 397 | 99.04 288 | 93.09 452 | 95.27 458 | 98.42 408 | 97.26 308 | 98.88 242 | 98.95 244 | 95.43 313 | 99.73 296 | 97.02 264 | 98.72 425 | 99.41 220 |
|
| tpmvs | | | 95.02 444 | 95.25 429 | 94.33 499 | 96.39 522 | 85.87 524 | 98.08 196 | 96.83 470 | 95.46 416 | 95.51 490 | 98.69 310 | 85.91 465 | 99.53 415 | 94.16 417 | 96.23 510 | 97.58 481 |
|
| PM-MVS | | | 98.82 125 | 98.72 132 | 99.12 124 | 99.64 77 | 98.54 111 | 97.98 222 | 99.68 63 | 97.62 261 | 99.34 134 | 99.18 163 | 97.54 180 | 99.77 264 | 97.79 191 | 99.74 195 | 99.04 346 |
|
| HQP_MVS | | | 97.99 268 | 97.67 291 | 98.93 168 | 99.19 246 | 97.65 217 | 97.77 253 | 99.27 264 | 98.20 209 | 97.79 378 | 97.98 406 | 94.90 327 | 99.70 316 | 94.42 411 | 99.51 306 | 99.45 204 |
|
| plane_prior7 | | | | | | 99.19 246 | 97.87 190 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 98.99 305 | 97.70 213 | | | | | | 94.90 327 | | | | |
|
| plane_prior5 | | | | | | | | | 99.27 264 | | | | | 99.70 316 | 94.42 411 | 99.51 306 | 99.45 204 |
|
| plane_prior4 | | | | | | | | | | | | 97.98 406 | | | | | |
|
| plane_prior3 | | | | | | | 97.78 204 | | | 97.41 290 | 97.79 378 | | | | | | |
|
| plane_prior2 | | | | | | | | 97.77 253 | | 98.20 209 | | | | | | | |
|
| plane_prior1 | | | | | | 99.05 287 | | | | | | | | | | | |
|
| plane_prior | | | | | | | 97.65 217 | 97.07 346 | | 96.72 350 | | | | | | 99.36 341 | |
|
| PS-CasMVS | | | 99.40 25 | 99.33 37 | 99.62 9 | 99.71 49 | 99.10 65 | 99.29 36 | 99.53 134 | 99.53 41 | 99.46 101 | 99.41 94 | 98.23 110 | 99.95 25 | 98.89 96 | 99.95 39 | 99.81 41 |
|
| UniMVSNet_NR-MVSNet | | | 98.86 116 | 98.68 141 | 99.40 71 | 99.17 256 | 98.74 91 | 97.68 268 | 99.40 204 | 99.14 98 | 99.06 191 | 98.59 334 | 96.71 246 | 99.93 53 | 98.57 121 | 99.77 172 | 99.53 157 |
|
| PEN-MVS | | | 99.41 24 | 99.34 35 | 99.62 9 | 99.73 38 | 99.14 57 | 99.29 36 | 99.54 130 | 99.62 32 | 99.56 74 | 99.42 89 | 98.16 122 | 99.96 13 | 98.78 102 | 99.93 57 | 99.77 53 |
|
| TransMVSNet (Re) | | | 99.44 19 | 99.47 21 | 99.36 74 | 99.80 21 | 98.58 106 | 99.27 42 | 99.57 109 | 99.39 58 | 99.75 44 | 99.62 40 | 99.17 20 | 99.83 195 | 99.06 82 | 99.62 265 | 99.66 80 |
|
| DTE-MVSNet | | | 99.43 22 | 99.35 33 | 99.66 7 | 99.71 49 | 99.30 21 | 99.31 30 | 99.51 142 | 99.64 26 | 99.56 74 | 99.46 80 | 98.23 110 | 99.97 6 | 98.78 102 | 99.93 57 | 99.72 64 |
|
| DU-MVS | | | 98.82 125 | 98.63 152 | 99.39 72 | 99.16 258 | 98.74 91 | 97.54 294 | 99.25 272 | 98.84 148 | 99.06 191 | 98.76 294 | 96.76 241 | 99.93 53 | 98.57 121 | 99.77 172 | 99.50 168 |
|
| UniMVSNet (Re) | | | 98.87 112 | 98.71 135 | 99.35 80 | 99.24 230 | 98.73 94 | 97.73 263 | 99.38 208 | 98.93 132 | 99.12 183 | 98.73 297 | 96.77 239 | 99.86 144 | 98.63 116 | 99.80 152 | 99.46 198 |
|
| CP-MVSNet | | | 99.21 47 | 99.09 82 | 99.56 26 | 99.65 71 | 98.96 77 | 99.13 59 | 99.34 228 | 99.42 55 | 99.33 137 | 99.26 137 | 97.01 222 | 99.94 41 | 98.74 107 | 99.93 57 | 99.79 47 |
|
| WR-MVS_H | | | 99.33 30 | 99.22 54 | 99.65 8 | 99.71 49 | 99.24 29 | 99.32 26 | 99.55 124 | 99.46 49 | 99.50 93 | 99.34 115 | 97.30 201 | 99.93 53 | 98.90 94 | 99.93 57 | 99.77 53 |
|
| WR-MVS | | | 98.40 206 | 98.19 234 | 99.03 146 | 99.00 302 | 97.65 217 | 96.85 361 | 98.94 337 | 98.57 174 | 98.89 238 | 98.50 348 | 95.60 305 | 99.85 158 | 97.54 219 | 99.85 109 | 99.59 109 |
|
| NR-MVSNet | | | 98.95 102 | 98.82 121 | 99.36 74 | 99.16 258 | 98.72 96 | 99.22 46 | 99.20 283 | 99.10 107 | 99.72 47 | 98.76 294 | 96.38 265 | 99.86 144 | 98.00 170 | 99.82 133 | 99.50 168 |
|
| Baseline_NR-MVSNet | | | 98.98 98 | 98.86 115 | 99.36 74 | 99.82 19 | 98.55 108 | 97.47 306 | 99.57 109 | 99.37 60 | 99.21 172 | 99.61 43 | 96.76 241 | 99.83 195 | 98.06 162 | 99.83 126 | 99.71 65 |
|
| TranMVSNet+NR-MVSNet | | | 99.17 52 | 99.07 85 | 99.46 63 | 99.37 191 | 98.87 84 | 98.39 157 | 99.42 196 | 99.42 55 | 99.36 128 | 99.06 199 | 98.38 89 | 99.95 25 | 98.34 141 | 99.90 88 | 99.57 124 |
|
| TSAR-MVS + GP. | | | 98.18 246 | 97.98 259 | 98.77 207 | 98.71 359 | 97.88 189 | 96.32 402 | 98.66 387 | 96.33 369 | 99.23 168 | 98.51 344 | 97.48 190 | 99.40 452 | 97.16 251 | 99.46 320 | 99.02 349 |
|
| n2 | | | | | | | | | 0.00 553 | | | | | | | | |
|
| nn | | | | | | | | | 0.00 553 | | | | | | | | |
|
| mPP-MVS | | | 98.64 164 | 98.34 206 | 99.54 31 | 99.54 123 | 99.17 43 | 98.63 116 | 99.24 277 | 97.47 280 | 98.09 351 | 98.68 312 | 97.62 170 | 99.89 97 | 96.22 346 | 99.62 265 | 99.57 124 |
|
| door-mid | | | | | | | | | 99.57 109 | | | | | | | | |
|
| XVG-OURS-SEG-HR | | | 98.49 195 | 98.28 217 | 99.14 122 | 99.49 148 | 98.83 86 | 96.54 384 | 99.48 157 | 97.32 300 | 99.11 184 | 98.61 331 | 99.33 15 | 99.30 468 | 96.23 345 | 98.38 447 | 99.28 284 |
|
| mvsmamba | | | 97.57 308 | 97.26 320 | 98.51 266 | 98.69 368 | 96.73 299 | 98.74 99 | 97.25 451 | 97.03 329 | 97.88 369 | 99.23 150 | 90.95 420 | 99.87 135 | 96.61 312 | 99.00 403 | 98.91 373 |
|
| MVSFormer | | | 98.26 233 | 98.43 188 | 97.77 351 | 98.88 327 | 93.89 437 | 99.39 20 | 99.56 119 | 99.11 100 | 98.16 343 | 98.13 391 | 93.81 367 | 99.97 6 | 99.26 65 | 99.57 285 | 99.43 212 |
|
| jason | | | 97.45 317 | 97.35 315 | 97.76 354 | 99.24 230 | 93.93 433 | 95.86 434 | 98.42 408 | 94.24 454 | 98.50 311 | 98.13 391 | 94.82 331 | 99.91 74 | 97.22 246 | 99.73 199 | 99.43 212 |
| jason: jason. |
| lupinMVS | | | 97.06 353 | 96.86 349 | 97.65 369 | 98.88 327 | 93.89 437 | 95.48 450 | 97.97 427 | 93.53 470 | 98.16 343 | 97.58 433 | 93.81 367 | 99.91 74 | 96.77 291 | 99.57 285 | 99.17 324 |
|
| test_djsdf | | | 99.52 13 | 99.51 15 | 99.53 38 | 99.86 14 | 98.74 91 | 99.39 20 | 99.56 119 | 99.11 100 | 99.70 51 | 99.73 20 | 99.00 27 | 99.97 6 | 99.26 65 | 99.98 12 | 99.89 16 |
|
| HPM-MVS_fast | | | 99.01 90 | 98.82 121 | 99.57 21 | 99.71 49 | 99.35 16 | 99.00 73 | 99.50 147 | 97.33 298 | 98.94 230 | 98.86 266 | 98.75 47 | 99.82 207 | 97.53 220 | 99.71 217 | 99.56 130 |
|
| K. test v3 | | | 98.00 265 | 97.66 294 | 99.03 146 | 99.79 23 | 97.56 223 | 99.19 53 | 92.47 523 | 99.62 32 | 99.52 87 | 99.66 32 | 89.61 434 | 99.96 13 | 99.25 67 | 99.81 140 | 99.56 130 |
|
| lessismore_v0 | | | | | 98.97 160 | 99.73 38 | 97.53 226 | | 86.71 541 | | 99.37 125 | 99.52 67 | 89.93 429 | 99.92 65 | 98.99 88 | 99.72 208 | 99.44 208 |
|
| SixPastTwentyTwo | | | 98.75 138 | 98.62 154 | 99.16 118 | 99.83 18 | 97.96 178 | 99.28 40 | 98.20 419 | 99.37 60 | 99.70 51 | 99.65 36 | 92.65 394 | 99.93 53 | 99.04 84 | 99.84 114 | 99.60 102 |
|
| OurMVSNet-221017-0 | | | 99.37 28 | 99.31 41 | 99.53 38 | 99.91 3 | 98.98 71 | 99.63 7 | 99.58 101 | 99.44 52 | 99.78 39 | 99.76 15 | 96.39 263 | 99.92 65 | 99.44 54 | 99.92 71 | 99.68 73 |
|
| HPM-MVS |  | | 98.79 131 | 98.53 169 | 99.59 20 | 99.65 71 | 99.29 23 | 99.16 55 | 99.43 190 | 96.74 349 | 98.61 292 | 98.38 362 | 98.62 64 | 99.87 135 | 96.47 328 | 99.67 243 | 99.59 109 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| XVG-OURS | | | 98.53 188 | 98.34 206 | 99.11 126 | 99.50 140 | 98.82 88 | 95.97 425 | 99.50 147 | 97.30 303 | 99.05 199 | 98.98 234 | 99.35 14 | 99.32 465 | 95.72 372 | 99.68 237 | 99.18 320 |
|
| XVG-ACMP-BASELINE | | | 98.56 179 | 98.34 206 | 99.22 109 | 99.54 123 | 98.59 105 | 97.71 264 | 99.46 172 | 97.25 309 | 98.98 212 | 98.99 229 | 97.54 180 | 99.84 177 | 95.88 362 | 99.74 195 | 99.23 300 |
|
| casdiffmvs_mvg |  | | 99.12 69 | 99.16 62 | 98.99 154 | 99.43 174 | 97.73 210 | 98.00 214 | 99.62 87 | 99.22 80 | 99.55 77 | 99.22 152 | 98.93 33 | 99.75 282 | 98.66 113 | 99.81 140 | 99.50 168 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| LPG-MVS_test | | | 98.71 142 | 98.46 184 | 99.47 61 | 99.57 103 | 98.97 73 | 98.23 173 | 99.48 157 | 96.60 356 | 99.10 187 | 99.06 199 | 98.71 51 | 99.83 195 | 95.58 381 | 99.78 164 | 99.62 92 |
|
| LGP-MVS_train | | | | | 99.47 61 | 99.57 103 | 98.97 73 | | 99.48 157 | 96.60 356 | 99.10 187 | 99.06 199 | 98.71 51 | 99.83 195 | 95.58 381 | 99.78 164 | 99.62 92 |
|
| baseline | | | 98.96 101 | 99.02 90 | 98.76 209 | 99.38 185 | 97.26 254 | 98.49 140 | 99.50 147 | 98.86 142 | 99.19 174 | 99.06 199 | 98.23 110 | 99.69 326 | 98.71 110 | 99.76 188 | 99.33 266 |
|
| test11 | | | | | | | | | 98.87 353 | | | | | | | | |
|
| door | | | | | | | | | 99.41 200 | | | | | | | | |
|
| EPNet_dtu | | | 94.93 446 | 94.78 442 | 95.38 487 | 93.58 536 | 87.68 519 | 96.78 365 | 95.69 496 | 97.35 297 | 89.14 536 | 98.09 397 | 88.15 448 | 99.49 430 | 94.95 396 | 99.30 357 | 98.98 356 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| CHOSEN 1792x2688 | | | 97.49 313 | 97.14 330 | 98.54 261 | 99.68 64 | 96.09 328 | 96.50 388 | 99.62 87 | 91.58 497 | 98.84 251 | 98.97 236 | 92.36 397 | 99.88 115 | 96.76 292 | 99.95 39 | 99.67 78 |
|
| EPNet | | | 96.14 402 | 95.44 418 | 98.25 300 | 90.76 545 | 95.50 358 | 97.92 231 | 94.65 504 | 98.97 127 | 92.98 521 | 98.85 269 | 89.12 438 | 99.87 135 | 95.99 358 | 99.68 237 | 99.39 230 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| HQP5-MVS | | | | | | | 96.79 294 | | | | | | | | | | |
|
| HQP-NCC | | | | | | 98.67 373 | | 96.29 404 | | 96.05 383 | 95.55 485 | | | | | | |
|
| ACMP_Plane | | | | | | 98.67 373 | | 96.29 404 | | 96.05 383 | 95.55 485 | | | | | | |
|
| APD-MVS |  | | 98.10 253 | 97.67 291 | 99.42 67 | 99.11 270 | 98.93 79 | 97.76 256 | 99.28 261 | 94.97 433 | 98.72 272 | 98.77 289 | 97.04 218 | 99.85 158 | 93.79 431 | 99.54 296 | 99.49 176 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| BP-MVS | | | | | | | | | | | | | | | 92.82 460 | | |
|
| HQP4-MVS | | | | | | | | | | | 95.56 484 | | | 99.54 413 | | | 99.32 270 |
|
| HQP3-MVS | | | | | | | | | 99.04 322 | | | | | | | 99.26 365 | |
|
| HQP2-MVS | | | | | | | | | | | | | 93.84 365 | | | | |
|
| CNVR-MVS | | | 98.17 249 | 97.87 274 | 99.07 136 | 98.67 373 | 98.24 137 | 97.01 348 | 98.93 340 | 97.25 309 | 97.62 388 | 98.34 367 | 97.27 204 | 99.57 400 | 96.42 332 | 99.33 348 | 99.39 230 |
|
| NCCC | | | 97.86 282 | 97.47 309 | 99.05 143 | 98.61 383 | 98.07 162 | 96.98 351 | 98.90 347 | 97.63 260 | 97.04 427 | 97.93 411 | 95.99 289 | 99.66 355 | 95.31 386 | 98.82 419 | 99.43 212 |
|
| 114514_t | | | 96.50 381 | 95.77 401 | 98.69 223 | 99.48 156 | 97.43 237 | 97.84 243 | 99.55 124 | 81.42 536 | 96.51 462 | 98.58 335 | 95.53 307 | 99.67 342 | 93.41 445 | 99.58 281 | 98.98 356 |
|
| CP-MVS | | | 98.70 147 | 98.42 190 | 99.52 44 | 99.36 192 | 99.12 62 | 98.72 104 | 99.36 216 | 97.54 274 | 98.30 331 | 98.40 359 | 97.86 150 | 99.89 97 | 96.53 325 | 99.72 208 | 99.56 130 |
|
| DSMNet-mixed | | | 97.42 320 | 97.60 300 | 96.87 425 | 99.15 262 | 91.46 481 | 98.54 128 | 99.12 306 | 92.87 484 | 97.58 392 | 99.63 39 | 96.21 274 | 99.90 81 | 95.74 371 | 99.54 296 | 99.27 287 |
|
| tpm2 | | | 93.09 477 | 92.58 476 | 94.62 497 | 97.56 475 | 86.53 523 | 97.66 272 | 95.79 493 | 86.15 529 | 94.07 512 | 98.23 384 | 75.95 513 | 99.53 415 | 90.91 499 | 96.86 503 | 97.81 468 |
|
| NP-MVS | | | | | | 98.84 334 | 97.39 239 | | | | | 96.84 463 | | | | | |
|
| EG-PatchMatch MVS | | | 98.99 94 | 99.01 92 | 98.94 165 | 99.50 140 | 97.47 231 | 98.04 205 | 99.59 98 | 98.15 220 | 99.40 117 | 99.36 110 | 98.58 72 | 99.76 270 | 98.78 102 | 99.68 237 | 99.59 109 |
|
| tpm cat1 | | | 93.29 474 | 93.13 470 | 93.75 508 | 97.39 488 | 84.74 529 | 97.39 313 | 97.65 437 | 83.39 534 | 94.16 509 | 98.41 358 | 82.86 491 | 99.39 454 | 91.56 487 | 95.35 524 | 97.14 494 |
|
| SteuartSystems-ACMMP | | | 98.79 131 | 98.54 167 | 99.54 31 | 99.73 38 | 99.16 48 | 98.23 173 | 99.31 241 | 97.92 236 | 98.90 235 | 98.90 255 | 98.00 134 | 99.88 115 | 96.15 351 | 99.72 208 | 99.58 117 |
| Skip Steuart: Steuart Systems R&D Blog. |
| CostFormer | | | 93.97 462 | 93.78 459 | 94.51 498 | 97.53 479 | 85.83 526 | 97.98 222 | 95.96 488 | 89.29 517 | 94.99 498 | 98.63 326 | 78.63 508 | 99.62 374 | 94.54 405 | 96.50 506 | 98.09 453 |
|
| CR-MVSNet | | | 96.28 395 | 95.95 397 | 97.28 401 | 97.71 466 | 94.22 412 | 98.11 191 | 98.92 344 | 92.31 490 | 96.91 434 | 99.37 104 | 85.44 470 | 99.81 224 | 97.39 233 | 97.36 492 | 97.81 468 |
|
| JIA-IIPM | | | 95.52 428 | 95.03 436 | 97.00 416 | 96.85 506 | 94.03 424 | 96.93 356 | 95.82 491 | 99.20 84 | 94.63 505 | 99.71 22 | 83.09 489 | 99.60 386 | 94.42 411 | 94.64 526 | 97.36 489 |
|
| Patchmtry | | | 97.35 327 | 96.97 340 | 98.50 270 | 97.31 491 | 96.47 314 | 98.18 179 | 98.92 344 | 98.95 131 | 98.78 262 | 99.37 104 | 85.44 470 | 99.85 158 | 95.96 360 | 99.83 126 | 99.17 324 |
|
| PatchT | | | 96.65 373 | 96.35 385 | 97.54 385 | 97.40 487 | 95.32 371 | 97.98 222 | 96.64 474 | 99.33 66 | 96.89 438 | 99.42 89 | 84.32 480 | 99.81 224 | 97.69 206 | 97.49 483 | 97.48 484 |
|
| tpmrst | | | 95.07 442 | 95.46 416 | 93.91 506 | 97.11 495 | 84.36 533 | 97.62 279 | 96.96 463 | 94.98 432 | 96.35 467 | 98.80 283 | 85.46 469 | 99.59 391 | 95.60 379 | 96.23 510 | 97.79 471 |
|
| BH-w/o | | | 95.13 441 | 94.89 441 | 95.86 470 | 98.20 431 | 91.31 486 | 95.65 443 | 97.37 443 | 93.64 468 | 96.52 461 | 95.70 490 | 93.04 386 | 99.02 487 | 88.10 514 | 95.82 520 | 97.24 493 |
|
| tpm | | | 94.67 448 | 94.34 453 | 95.66 478 | 97.68 471 | 88.42 514 | 97.88 236 | 94.90 502 | 94.46 447 | 96.03 477 | 98.56 338 | 78.66 507 | 99.79 246 | 95.88 362 | 95.01 525 | 98.78 396 |
|
| DELS-MVS | | | 98.27 231 | 98.20 230 | 98.48 272 | 98.86 330 | 96.70 300 | 95.60 445 | 99.20 283 | 97.73 252 | 98.45 318 | 98.71 301 | 97.50 186 | 99.82 207 | 98.21 150 | 99.59 276 | 98.93 369 |
| 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 |
| BH-untuned | | | 96.83 366 | 96.75 359 | 97.08 412 | 98.74 352 | 93.33 450 | 96.71 370 | 98.26 415 | 96.72 350 | 98.44 319 | 97.37 450 | 95.20 318 | 99.47 437 | 91.89 479 | 97.43 487 | 98.44 431 |
|
| RPMNet | | | 97.02 356 | 96.93 342 | 97.30 400 | 97.71 466 | 94.22 412 | 98.11 191 | 99.30 249 | 99.37 60 | 96.91 434 | 99.34 115 | 86.72 454 | 99.87 135 | 97.53 220 | 97.36 492 | 97.81 468 |
|
| MVSTER | | | 96.86 365 | 96.55 376 | 97.79 349 | 97.91 453 | 94.21 414 | 97.56 290 | 98.87 353 | 97.49 279 | 99.06 191 | 99.05 206 | 80.72 496 | 99.80 233 | 98.44 131 | 99.82 133 | 99.37 242 |
|
| CPTT-MVS | | | 97.84 288 | 97.36 314 | 99.27 99 | 99.31 206 | 98.46 116 | 98.29 166 | 99.27 264 | 94.90 435 | 97.83 375 | 98.37 363 | 94.90 327 | 99.84 177 | 93.85 430 | 99.54 296 | 99.51 164 |
|
| GBi-Net | | | 98.65 162 | 98.47 182 | 99.17 115 | 98.90 321 | 98.24 137 | 99.20 49 | 99.44 184 | 98.59 169 | 98.95 222 | 99.55 56 | 94.14 358 | 99.86 144 | 97.77 194 | 99.69 231 | 99.41 220 |
|
| PVSNet_Blended_VisFu | | | 98.17 249 | 98.15 241 | 98.22 306 | 99.73 38 | 95.15 380 | 97.36 320 | 99.68 63 | 94.45 450 | 98.99 211 | 99.27 131 | 96.87 230 | 99.94 41 | 97.13 257 | 99.91 80 | 99.57 124 |
|
| PVSNet_BlendedMVS | | | 97.55 309 | 97.53 303 | 97.60 376 | 98.92 317 | 93.77 441 | 96.64 377 | 99.43 190 | 94.49 445 | 97.62 388 | 99.18 163 | 96.82 234 | 99.67 342 | 94.73 400 | 99.93 57 | 99.36 250 |
|
| UnsupCasMVSNet_eth | | | 97.89 276 | 97.60 300 | 98.75 211 | 99.31 206 | 97.17 268 | 97.62 279 | 99.35 222 | 98.72 157 | 98.76 267 | 98.68 312 | 92.57 395 | 99.74 289 | 97.76 198 | 95.60 522 | 99.34 260 |
|
| UnsupCasMVSNet_bld | | | 97.30 332 | 96.92 344 | 98.45 275 | 99.28 215 | 96.78 297 | 96.20 410 | 99.27 264 | 95.42 418 | 98.28 335 | 98.30 374 | 93.16 380 | 99.71 308 | 94.99 393 | 97.37 490 | 98.87 379 |
|
| PVSNet_Blended | | | 96.88 363 | 96.68 363 | 97.47 393 | 98.92 317 | 93.77 441 | 94.71 474 | 99.43 190 | 90.98 506 | 97.62 388 | 97.36 451 | 96.82 234 | 99.67 342 | 94.73 400 | 99.56 289 | 98.98 356 |
|
| FMVSNet5 | | | 96.01 407 | 95.20 433 | 98.41 280 | 97.53 479 | 96.10 325 | 98.74 99 | 99.50 147 | 97.22 318 | 98.03 358 | 99.04 208 | 69.80 522 | 99.88 115 | 97.27 242 | 99.71 217 | 99.25 294 |
|
| test1 | | | 98.65 162 | 98.47 182 | 99.17 115 | 98.90 321 | 98.24 137 | 99.20 49 | 99.44 184 | 98.59 169 | 98.95 222 | 99.55 56 | 94.14 358 | 99.86 144 | 97.77 194 | 99.69 231 | 99.41 220 |
|
| new_pmnet | | | 96.99 360 | 96.76 357 | 97.67 365 | 98.72 355 | 94.89 391 | 95.95 429 | 98.20 419 | 92.62 487 | 98.55 305 | 98.54 339 | 94.88 330 | 99.52 419 | 93.96 425 | 99.44 329 | 98.59 420 |
|
| FMVSNet3 | | | 97.50 310 | 97.24 322 | 98.29 296 | 98.08 444 | 95.83 342 | 97.86 240 | 98.91 346 | 97.89 239 | 98.95 222 | 98.95 244 | 87.06 452 | 99.81 224 | 97.77 194 | 99.69 231 | 99.23 300 |
|
| dp | | | 93.47 470 | 93.59 462 | 93.13 517 | 96.64 512 | 81.62 544 | 97.66 272 | 96.42 479 | 92.80 485 | 96.11 471 | 98.64 324 | 78.55 510 | 99.59 391 | 93.31 446 | 92.18 534 | 98.16 449 |
|
| FMVSNet2 | | | 98.49 195 | 98.40 192 | 98.75 211 | 98.90 321 | 97.14 271 | 98.61 120 | 99.13 305 | 98.59 169 | 99.19 174 | 99.28 129 | 94.14 358 | 99.82 207 | 97.97 175 | 99.80 152 | 99.29 281 |
|
| FMVSNet1 | | | 99.17 52 | 99.17 60 | 99.17 115 | 99.55 117 | 98.24 137 | 99.20 49 | 99.44 184 | 99.21 82 | 99.43 108 | 99.55 56 | 97.82 154 | 99.86 144 | 98.42 137 | 99.89 94 | 99.41 220 |
|
| N_pmnet | | | 97.63 303 | 97.17 326 | 98.99 154 | 99.27 218 | 97.86 191 | 95.98 424 | 93.41 520 | 95.25 425 | 99.47 100 | 98.90 255 | 95.63 303 | 99.85 158 | 96.91 275 | 99.73 199 | 99.27 287 |
|
| cascas | | | 94.79 447 | 94.33 454 | 96.15 460 | 96.02 527 | 92.36 470 | 92.34 525 | 99.26 270 | 85.34 531 | 95.08 497 | 94.96 507 | 92.96 387 | 98.53 504 | 94.41 414 | 98.59 439 | 97.56 482 |
|
| BH-RMVSNet | | | 96.83 366 | 96.58 375 | 97.58 378 | 98.47 401 | 94.05 421 | 96.67 374 | 97.36 444 | 96.70 353 | 97.87 370 | 97.98 406 | 95.14 322 | 99.44 446 | 90.47 504 | 98.58 440 | 99.25 294 |
|
| UGNet | | | 98.53 188 | 98.45 185 | 98.79 199 | 97.94 451 | 96.96 282 | 99.08 62 | 98.54 399 | 99.10 107 | 96.82 443 | 99.47 78 | 96.55 255 | 99.84 177 | 98.56 124 | 99.94 51 | 99.55 137 |
| Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022 |
| WTY-MVS | | | 96.67 372 | 96.27 391 | 97.87 344 | 98.81 342 | 94.61 404 | 96.77 366 | 97.92 429 | 94.94 434 | 97.12 420 | 97.74 424 | 91.11 419 | 99.82 207 | 93.89 427 | 98.15 461 | 99.18 320 |
|
| XXY-MVS | | | 99.14 62 | 99.15 67 | 99.10 128 | 99.76 30 | 97.74 208 | 98.85 93 | 99.62 87 | 98.48 181 | 99.37 125 | 99.49 74 | 98.75 47 | 99.86 144 | 98.20 151 | 99.80 152 | 99.71 65 |
|
| EC-MVSNet | | | 99.09 73 | 99.05 86 | 99.20 110 | 99.28 215 | 98.93 79 | 99.24 44 | 99.84 23 | 99.08 114 | 98.12 348 | 98.37 363 | 98.72 50 | 99.90 81 | 99.05 83 | 99.77 172 | 98.77 397 |
|
| sss | | | 97.21 341 | 96.93 342 | 98.06 326 | 98.83 336 | 95.22 378 | 96.75 368 | 98.48 404 | 94.49 445 | 97.27 415 | 97.90 412 | 92.77 391 | 99.80 233 | 96.57 316 | 99.32 351 | 99.16 330 |
|
| Test_1112_low_res | | | 96.99 360 | 96.55 376 | 98.31 293 | 99.35 197 | 95.47 362 | 95.84 437 | 99.53 134 | 91.51 499 | 96.80 444 | 98.48 351 | 91.36 416 | 99.83 195 | 96.58 314 | 99.53 300 | 99.62 92 |
|
| 1112_ss | | | 97.29 334 | 96.86 349 | 98.58 246 | 99.34 202 | 96.32 320 | 96.75 368 | 99.58 101 | 93.14 476 | 96.89 438 | 97.48 442 | 92.11 405 | 99.86 144 | 96.91 275 | 99.54 296 | 99.57 124 |
|
| ab-mvs-re | | | 8.12 513 | 10.83 516 | 0.00 529 | 0.00 552 | 0.00 554 | 0.00 540 | 0.00 553 | 0.00 547 | 0.00 548 | 97.48 442 | 0.00 551 | 0.00 548 | 0.00 546 | 0.00 546 | 0.00 544 |
|
| ab-mvs | | | 98.41 203 | 98.36 202 | 98.59 245 | 99.19 246 | 97.23 256 | 99.32 26 | 98.81 367 | 97.66 258 | 98.62 290 | 99.40 97 | 96.82 234 | 99.80 233 | 95.88 362 | 99.51 306 | 98.75 400 |
|
| TR-MVS | | | 95.55 427 | 95.12 435 | 96.86 428 | 97.54 477 | 93.94 432 | 96.49 389 | 96.53 477 | 94.36 453 | 97.03 429 | 96.61 469 | 94.26 355 | 99.16 480 | 86.91 519 | 96.31 509 | 97.47 485 |
|
| MDTV_nov1_ep13_2view | | | | | | | 74.92 547 | 97.69 267 | | 90.06 513 | 97.75 381 | | 85.78 466 | | 93.52 440 | | 98.69 408 |
|
| MDTV_nov1_ep13 | | | | 95.22 431 | | 97.06 498 | 83.20 538 | 97.74 261 | 96.16 482 | 94.37 452 | 96.99 430 | 98.83 276 | 83.95 484 | 99.53 415 | 93.90 426 | 97.95 473 | |
|
| MIMVSNet1 | | | 99.38 27 | 99.32 39 | 99.55 28 | 99.86 14 | 99.19 41 | 99.41 17 | 99.59 98 | 99.59 36 | 99.71 49 | 99.57 49 | 97.12 214 | 99.90 81 | 99.21 70 | 99.87 100 | 99.54 143 |
|
| MIMVSNet | | | 96.62 375 | 96.25 392 | 97.71 361 | 99.04 288 | 94.66 402 | 99.16 55 | 96.92 467 | 97.23 315 | 97.87 370 | 99.10 190 | 86.11 461 | 99.65 362 | 91.65 484 | 99.21 374 | 98.82 384 |
|
| IterMVS-LS | | | 98.55 183 | 98.70 138 | 98.09 320 | 99.48 156 | 94.73 399 | 97.22 337 | 99.39 206 | 98.97 127 | 99.38 121 | 99.31 124 | 96.00 285 | 99.93 53 | 98.58 119 | 99.97 21 | 99.60 102 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| CDS-MVSNet | | | 97.69 298 | 97.35 315 | 98.69 223 | 98.73 353 | 97.02 278 | 96.92 358 | 98.75 379 | 95.89 393 | 98.59 297 | 98.67 314 | 92.08 406 | 99.74 289 | 96.72 298 | 99.81 140 | 99.32 270 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| ACMMP++_ref | | | | | | | | | | | | | | | | 99.77 172 | |
|
| IterMVS | | | 97.73 294 | 98.11 245 | 96.57 437 | 99.24 230 | 90.28 503 | 95.52 449 | 99.21 281 | 98.86 142 | 99.33 137 | 99.33 118 | 93.11 382 | 99.94 41 | 98.49 128 | 99.94 51 | 99.48 187 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| DP-MVS Recon | | | 97.33 329 | 96.92 344 | 98.57 249 | 99.09 275 | 97.99 171 | 96.79 363 | 99.35 222 | 93.18 475 | 97.71 382 | 98.07 399 | 95.00 326 | 99.31 466 | 93.97 424 | 99.13 387 | 98.42 435 |
|
| MVS_111021_LR | | | 98.30 226 | 98.12 244 | 98.83 188 | 99.16 258 | 98.03 167 | 96.09 419 | 99.30 249 | 97.58 267 | 98.10 350 | 98.24 382 | 98.25 107 | 99.34 461 | 96.69 303 | 99.65 253 | 99.12 336 |
|
| DP-MVS | | | 98.93 104 | 98.81 123 | 99.28 96 | 99.21 238 | 98.45 117 | 98.46 145 | 99.33 234 | 99.63 28 | 99.48 96 | 99.15 175 | 97.23 207 | 99.75 282 | 97.17 250 | 99.66 251 | 99.63 91 |
|
| ACMMP++ | | | | | | | | | | | | | | | | 99.68 237 | |
|
| HQP-MVS | | | 97.00 359 | 96.49 379 | 98.55 256 | 98.67 373 | 96.79 294 | 96.29 404 | 99.04 322 | 96.05 383 | 95.55 485 | 96.84 463 | 93.84 365 | 99.54 413 | 92.82 460 | 99.26 365 | 99.32 270 |
|
| QAPM | | | 97.31 330 | 96.81 355 | 98.82 190 | 98.80 345 | 97.49 227 | 99.06 66 | 99.19 287 | 90.22 510 | 97.69 384 | 99.16 169 | 96.91 228 | 99.90 81 | 90.89 500 | 99.41 334 | 99.07 340 |
|
| Vis-MVSNet |  | | 99.34 29 | 99.36 32 | 99.27 99 | 99.73 38 | 98.26 135 | 99.17 54 | 99.78 36 | 99.11 100 | 99.27 152 | 99.48 75 | 98.82 38 | 99.95 25 | 98.94 91 | 99.93 57 | 99.59 109 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| MVS-HIRNet | | | 94.32 453 | 95.62 407 | 90.42 522 | 98.46 403 | 75.36 546 | 96.29 404 | 89.13 537 | 95.25 425 | 95.38 491 | 99.75 16 | 92.88 388 | 99.19 478 | 94.07 423 | 99.39 337 | 96.72 503 |
|
| IS-MVSNet | | | 98.19 244 | 97.90 272 | 99.08 134 | 99.57 103 | 97.97 175 | 99.31 30 | 98.32 412 | 99.01 123 | 98.98 212 | 99.03 211 | 91.59 410 | 99.79 246 | 95.49 383 | 99.80 152 | 99.48 187 |
|
| HyFIR lowres test | | | 97.19 343 | 96.60 374 | 98.96 162 | 99.62 87 | 97.28 252 | 95.17 462 | 99.50 147 | 94.21 455 | 99.01 206 | 98.32 372 | 86.61 455 | 99.99 2 | 97.10 259 | 99.84 114 | 99.60 102 |
|
| EPMVS | | | 93.72 467 | 93.27 466 | 95.09 493 | 96.04 526 | 87.76 518 | 98.13 186 | 85.01 543 | 94.69 441 | 96.92 432 | 98.64 324 | 78.47 511 | 99.31 466 | 95.04 392 | 96.46 507 | 98.20 446 |
|
| PAPM_NR | | | 96.82 368 | 96.32 387 | 98.30 295 | 99.07 279 | 96.69 301 | 97.48 302 | 98.76 375 | 95.81 400 | 96.61 454 | 96.47 473 | 94.12 361 | 99.17 479 | 90.82 502 | 97.78 475 | 99.06 341 |
|
| TAMVS | | | 98.24 237 | 98.05 252 | 98.80 195 | 99.07 279 | 97.18 266 | 97.88 236 | 98.81 367 | 96.66 355 | 99.17 182 | 99.21 154 | 94.81 333 | 99.77 264 | 96.96 273 | 99.88 95 | 99.44 208 |
|
| PAPR | | | 95.29 436 | 94.47 448 | 97.75 355 | 97.50 485 | 95.14 381 | 94.89 471 | 98.71 384 | 91.39 501 | 95.35 492 | 95.48 496 | 94.57 341 | 99.14 482 | 84.95 524 | 97.37 490 | 98.97 360 |
|
| RPSCF | | | 98.62 169 | 98.36 202 | 99.42 67 | 99.65 71 | 99.42 10 | 98.55 126 | 99.57 109 | 97.72 254 | 98.90 235 | 99.26 137 | 96.12 280 | 99.52 419 | 95.72 372 | 99.71 217 | 99.32 270 |
|
| Vis-MVSNet (Re-imp) | | | 97.46 315 | 97.16 327 | 98.34 290 | 99.55 117 | 96.10 325 | 98.94 81 | 98.44 405 | 98.32 192 | 98.16 343 | 98.62 329 | 88.76 439 | 99.73 296 | 93.88 428 | 99.79 159 | 99.18 320 |
|
| test_0402 | | | 98.76 137 | 98.71 135 | 98.93 168 | 99.56 111 | 98.14 148 | 98.45 147 | 99.34 228 | 99.28 73 | 98.95 222 | 98.91 252 | 98.34 95 | 99.79 246 | 95.63 377 | 99.91 80 | 98.86 380 |
|
| MVS_111021_HR | | | 98.25 236 | 98.08 249 | 98.75 211 | 99.09 275 | 97.46 233 | 95.97 425 | 99.27 264 | 97.60 266 | 97.99 361 | 98.25 380 | 98.15 124 | 99.38 456 | 96.87 283 | 99.57 285 | 99.42 217 |
|
| CSCG | | | 98.68 157 | 98.50 174 | 99.20 110 | 99.45 167 | 98.63 100 | 98.56 125 | 99.57 109 | 97.87 240 | 98.85 249 | 98.04 401 | 97.66 164 | 99.84 177 | 96.72 298 | 99.81 140 | 99.13 335 |
|
| PatchMatch-RL | | | 97.24 338 | 96.78 356 | 98.61 242 | 99.03 291 | 97.83 194 | 96.36 399 | 99.06 315 | 93.49 472 | 97.36 413 | 97.78 421 | 95.75 299 | 99.49 430 | 93.44 444 | 98.77 421 | 98.52 423 |
|
| API-MVS | | | 97.04 355 | 96.91 347 | 97.42 396 | 97.88 454 | 98.23 141 | 98.18 179 | 98.50 403 | 97.57 268 | 97.39 411 | 96.75 466 | 96.77 239 | 99.15 481 | 90.16 505 | 99.02 400 | 94.88 519 |
|
| Test By Simon | | | | | | | | | | | | | 96.52 256 | | | | |
|
| TDRefinement | | | 99.42 23 | 99.38 28 | 99.55 28 | 99.76 30 | 99.33 20 | 99.68 6 | 99.71 48 | 99.38 59 | 99.53 83 | 99.61 43 | 98.64 61 | 99.80 233 | 98.24 146 | 99.84 114 | 99.52 160 |
|
| USDC | | | 97.41 321 | 97.40 310 | 97.44 395 | 98.94 311 | 93.67 444 | 95.17 462 | 99.53 134 | 94.03 463 | 98.97 216 | 99.10 190 | 95.29 316 | 99.34 461 | 95.84 368 | 99.73 199 | 99.30 279 |
|
| EPP-MVSNet | | | 98.30 226 | 98.04 253 | 99.07 136 | 99.56 111 | 97.83 194 | 99.29 36 | 98.07 425 | 99.03 121 | 98.59 297 | 99.13 181 | 92.16 402 | 99.90 81 | 96.87 283 | 99.68 237 | 99.49 176 |
|
| PMMVS | | | 96.51 379 | 95.98 395 | 98.09 320 | 97.53 479 | 95.84 341 | 94.92 469 | 98.84 362 | 91.58 497 | 96.05 475 | 95.58 491 | 95.68 302 | 99.66 355 | 95.59 380 | 98.09 464 | 98.76 399 |
|
| PAPM | | | 91.88 496 | 90.34 498 | 96.51 438 | 98.06 446 | 92.56 464 | 92.44 524 | 97.17 455 | 86.35 528 | 90.38 533 | 96.01 481 | 86.61 455 | 99.21 477 | 70.65 540 | 95.43 523 | 97.75 473 |
|
| ACMMP |  | | 98.75 138 | 98.50 174 | 99.52 44 | 99.56 111 | 99.16 48 | 98.87 89 | 99.37 212 | 97.16 321 | 98.82 256 | 99.01 223 | 97.71 161 | 99.87 135 | 96.29 343 | 99.69 231 | 99.54 143 |
| Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence |
| CNLPA | | | 97.17 345 | 96.71 361 | 98.55 256 | 98.56 393 | 98.05 166 | 96.33 401 | 98.93 340 | 96.91 337 | 97.06 425 | 97.39 448 | 94.38 349 | 99.45 444 | 91.66 483 | 99.18 381 | 98.14 450 |
|
| PatchmatchNet |  | | 95.58 426 | 95.67 406 | 95.30 490 | 97.34 489 | 87.32 521 | 97.65 274 | 96.65 473 | 95.30 422 | 97.07 424 | 98.69 310 | 84.77 475 | 99.75 282 | 94.97 395 | 98.64 434 | 98.83 382 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| PHI-MVS | | | 98.29 229 | 97.95 263 | 99.34 83 | 98.44 406 | 99.16 48 | 98.12 190 | 99.38 208 | 96.01 387 | 98.06 354 | 98.43 356 | 97.80 155 | 99.67 342 | 95.69 374 | 99.58 281 | 99.20 310 |
|
| F-COLMAP | | | 97.30 332 | 96.68 363 | 99.14 122 | 99.19 246 | 98.39 121 | 97.27 332 | 99.30 249 | 92.93 481 | 96.62 453 | 98.00 404 | 95.73 300 | 99.68 337 | 92.62 467 | 98.46 445 | 99.35 256 |
|
| ANet_high | | | 99.57 10 | 99.67 6 | 99.28 96 | 99.89 6 | 98.09 155 | 99.14 58 | 99.93 6 | 99.82 8 | 99.93 6 | 99.81 8 | 99.17 20 | 99.94 41 | 99.31 61 | 100.00 1 | 99.82 36 |
|
| wuyk23d | | | 96.06 403 | 97.62 299 | 91.38 519 | 98.65 382 | 98.57 107 | 98.85 93 | 96.95 464 | 96.86 343 | 99.90 14 | 99.16 169 | 99.18 19 | 98.40 505 | 89.23 511 | 99.77 172 | 77.18 541 |
|
| OMC-MVS | | | 97.88 279 | 97.49 306 | 99.04 145 | 98.89 326 | 98.63 100 | 96.94 354 | 99.25 272 | 95.02 431 | 98.53 308 | 98.51 344 | 97.27 204 | 99.47 437 | 93.50 442 | 99.51 306 | 99.01 351 |
|
| MG-MVS | | | 96.77 369 | 96.61 372 | 97.26 403 | 98.31 418 | 93.06 453 | 95.93 430 | 98.12 424 | 96.45 366 | 97.92 365 | 98.73 297 | 93.77 369 | 99.39 454 | 91.19 494 | 99.04 396 | 99.33 266 |
|
| AdaColmap |  | | 97.14 347 | 96.71 361 | 98.46 274 | 98.34 416 | 97.80 203 | 96.95 353 | 98.93 340 | 95.58 409 | 96.92 432 | 97.66 428 | 95.87 296 | 99.53 415 | 90.97 497 | 99.14 385 | 98.04 455 |
|
| uanet | | | 0.00 514 | 0.00 517 | 0.00 529 | 0.00 552 | 0.00 554 | 0.00 540 | 0.00 553 | 0.00 547 | 0.00 548 | 0.00 547 | 0.00 551 | 0.00 548 | 0.00 546 | 0.00 546 | 0.00 544 |
|
| ITE_SJBPF | | | | | 98.87 177 | 99.22 236 | 98.48 115 | | 99.35 222 | 97.50 277 | 98.28 335 | 98.60 333 | 97.64 168 | 99.35 460 | 93.86 429 | 99.27 361 | 98.79 395 |
|
| DeepMVS_CX |  | | | | 93.44 513 | 98.24 427 | 94.21 414 | | 94.34 509 | 64.28 541 | 91.34 530 | 94.87 510 | 89.45 437 | 92.77 540 | 77.54 536 | 93.14 531 | 93.35 527 |
|
| TinyColmap | | | 97.89 276 | 97.98 259 | 97.60 376 | 98.86 330 | 94.35 410 | 96.21 409 | 99.44 184 | 97.45 287 | 99.06 191 | 98.88 263 | 97.99 137 | 99.28 472 | 94.38 415 | 99.58 281 | 99.18 320 |
|
| MAR-MVS | | | 96.47 385 | 95.70 404 | 98.79 199 | 97.92 452 | 99.12 62 | 98.28 167 | 98.60 392 | 92.16 492 | 95.54 488 | 96.17 479 | 94.77 336 | 99.52 419 | 89.62 508 | 98.23 454 | 97.72 476 |
| 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 |
| LF4IMVS | | | 97.90 274 | 97.69 290 | 98.52 265 | 99.17 256 | 97.66 215 | 97.19 342 | 99.47 167 | 96.31 371 | 97.85 374 | 98.20 386 | 96.71 246 | 99.52 419 | 94.62 403 | 99.72 208 | 98.38 438 |
|
| MSDG | | | 97.71 296 | 97.52 304 | 98.28 297 | 98.91 320 | 96.82 292 | 94.42 488 | 99.37 212 | 97.65 259 | 98.37 328 | 98.29 377 | 97.40 195 | 99.33 463 | 94.09 422 | 99.22 371 | 98.68 411 |
|
| LS3D | | | 98.63 166 | 98.38 198 | 99.36 74 | 97.25 492 | 99.38 12 | 99.12 61 | 99.32 236 | 99.21 82 | 98.44 319 | 98.88 263 | 97.31 200 | 99.80 233 | 96.58 314 | 99.34 346 | 98.92 370 |
|
| CLD-MVS | | | 97.49 313 | 97.16 327 | 98.48 272 | 99.07 279 | 97.03 277 | 94.71 474 | 99.21 281 | 94.46 447 | 98.06 354 | 97.16 457 | 97.57 176 | 99.48 434 | 94.46 408 | 99.78 164 | 98.95 364 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| FPMVS | | | 93.44 471 | 92.23 480 | 97.08 412 | 99.25 229 | 97.86 191 | 95.61 444 | 97.16 456 | 92.90 483 | 93.76 518 | 98.65 320 | 75.94 514 | 95.66 535 | 79.30 535 | 97.49 483 | 97.73 475 |
|
| Gipuma |  | | 99.03 88 | 99.16 62 | 98.64 232 | 99.94 2 | 98.51 113 | 99.32 26 | 99.75 43 | 99.58 38 | 98.60 295 | 99.62 40 | 98.22 113 | 99.51 425 | 97.70 204 | 99.73 199 | 97.89 463 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |