| 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 | 98.76 350 | 97.81 202 | 99.25 43 | 99.30 250 | 98.57 174 | 98.55 306 | 99.33 118 | 97.95 140 | 99.90 81 | 97.16 252 | 99.67 244 | 99.44 208 |
|
| 3Dnovator+ | | 97.89 3 | 98.69 151 | 98.51 171 | 99.24 106 | 98.81 343 | 98.40 120 | 99.02 70 | 99.19 288 | 98.99 124 | 98.07 354 | 99.28 129 | 97.11 216 | 99.84 177 | 96.84 287 | 99.32 352 | 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 | 97.56 271 | 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 | 98.32 222 | 98.01 257 | 99.23 108 | 98.39 414 | 98.97 73 | 95.03 467 | 99.18 292 | 96.88 340 | 99.33 137 | 98.78 288 | 98.16 122 | 99.28 473 | 96.74 296 | 99.62 266 | 99.44 208 |
|
| DeepC-MVS_fast | | 96.85 6 | 98.30 227 | 98.15 242 | 98.75 211 | 98.61 384 | 97.23 256 | 97.76 256 | 99.09 312 | 97.31 303 | 98.75 268 | 98.66 319 | 97.56 177 | 99.64 368 | 96.10 357 | 99.55 295 | 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 | 97.09 351 | 96.68 364 | 98.32 292 | 98.32 418 | 97.16 269 | 98.86 92 | 99.37 213 | 89.48 516 | 96.29 469 | 99.15 175 | 96.56 255 | 99.90 81 | 92.90 458 | 99.20 377 | 97.89 464 |
|
| 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 | 99.67 343 | 96.71 301 | 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 | 95.98 360 | 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 | 96.63 375 | 95.95 398 | 98.65 230 | 98.93 314 | 98.09 155 | 96.93 356 | 99.28 262 | 83.58 534 | 98.13 348 | 97.78 422 | 96.13 279 | 99.40 453 | 93.52 441 | 99.29 360 | 98.45 429 |
| 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 | 99.37 213 | 97.62 262 | 99.04 201 | 98.96 241 | 98.84 37 | 99.79 246 | 97.43 232 | 99.65 254 | 99.49 176 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| HY-MVS | | 95.94 13 | 95.90 416 | 95.35 424 | 97.55 385 | 97.95 451 | 94.79 396 | 98.81 98 | 96.94 466 | 92.28 492 | 95.17 495 | 98.57 337 | 89.90 431 | 99.75 282 | 91.20 494 | 97.33 495 | 98.10 453 |
|
| OpenMVS_ROB |  | 95.38 14 | 95.84 419 | 95.18 435 | 97.81 349 | 98.41 413 | 97.15 270 | 97.37 319 | 98.62 392 | 83.86 533 | 98.65 283 | 98.37 364 | 94.29 355 | 99.68 338 | 88.41 513 | 98.62 439 | 96.60 505 |
|
| ACMP | | 95.32 15 | 98.41 203 | 98.09 247 | 99.36 74 | 99.51 134 | 98.79 89 | 97.68 268 | 99.38 209 | 95.76 404 | 98.81 258 | 98.82 280 | 98.36 90 | 99.82 207 | 94.75 400 | 99.77 172 | 99.48 187 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| PLC |  | 94.65 16 | 96.51 380 | 95.73 404 | 98.85 180 | 98.75 352 | 97.91 185 | 96.42 396 | 99.06 316 | 90.94 508 | 95.59 483 | 97.38 450 | 94.41 347 | 99.59 392 | 90.93 499 | 98.04 471 | 99.05 343 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| PVSNet | | 93.40 17 | 95.67 423 | 95.70 405 | 95.57 481 | 98.83 337 | 88.57 514 | 92.50 524 | 97.72 433 | 92.69 487 | 96.49 466 | 96.44 475 | 93.72 371 | 99.43 449 | 93.61 436 | 99.28 361 | 98.71 405 |
|
| PCF-MVS | | 92.86 18 | 94.36 453 | 93.00 472 | 98.42 279 | 98.70 364 | 97.56 223 | 93.16 521 | 99.11 309 | 79.59 538 | 97.55 396 | 97.43 447 | 92.19 402 | 99.73 296 | 79.85 535 | 99.45 323 | 97.97 461 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| IB-MVS | | 91.63 19 | 92.24 492 | 90.90 496 | 96.27 449 | 97.22 494 | 91.24 491 | 94.36 492 | 93.33 522 | 92.37 490 | 92.24 529 | 94.58 514 | 66.20 533 | 99.89 97 | 93.16 452 | 94.63 528 | 97.66 479 |
| 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 | 97.86 283 | 97.94 267 | 97.65 370 | 99.71 49 | 97.94 181 | 98.52 130 | 98.68 386 | 98.99 124 | 97.52 399 | 99.35 111 | 97.41 194 | 98.18 510 | 91.59 487 | 99.67 244 | 96.82 501 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| PVSNet_0 | | 89.98 21 | 91.15 498 | 90.30 500 | 93.70 510 | 97.72 464 | 84.34 535 | 90.24 531 | 97.42 443 | 90.20 512 | 93.79 518 | 93.09 524 | 90.90 423 | 98.89 497 | 86.57 522 | 72.76 543 | 97.87 466 |
|
| MVE |  | 83.40 22 | 92.50 487 | 91.92 489 | 94.25 501 | 98.83 337 | 91.64 479 | 92.71 522 | 83.52 545 | 95.92 393 | 86.46 540 | 95.46 498 | 95.20 319 | 95.40 537 | 80.51 534 | 98.64 435 | 95.73 517 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| CMPMVS |  | 75.91 23 | 96.29 395 | 95.44 419 | 98.84 186 | 96.25 524 | 98.69 98 | 97.02 347 | 99.12 307 | 88.90 520 | 97.83 376 | 98.86 267 | 89.51 436 | 98.90 496 | 91.92 479 | 99.51 307 | 98.92 371 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| onestephybrid01 | | | 98.40 206 | 98.39 195 | 98.42 279 | 99.05 287 | 96.23 323 | 96.73 370 | 99.41 200 | 98.18 212 | 98.65 283 | 99.02 212 | 97.02 221 | 99.69 326 | 97.73 202 | 99.70 226 | 99.33 266 |
|
| nocashy02 | | | 98.57 177 | 98.66 146 | 98.31 294 | 99.20 242 | 95.89 339 | 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 | | | 97.89 277 | 97.64 297 | 98.66 228 | 99.26 227 | 97.44 236 | 96.08 421 | 99.51 142 | 96.72 351 | 98.47 316 | 99.13 181 | 93.62 374 | 99.70 316 | 97.14 255 | 98.80 421 | 98.83 383 |
|
| DenseAffine | | | 98.10 254 | 97.86 276 | 98.84 186 | 99.32 204 | 97.93 182 | 96.62 380 | 99.76 39 | 96.68 355 | 98.65 283 | 98.72 300 | 94.46 345 | 99.33 464 | 96.76 293 | 99.75 192 | 99.25 295 |
|
| ArgMatch-SfM | | | 97.96 272 | 97.72 288 | 98.66 228 | 99.02 299 | 97.33 242 | 96.49 390 | 99.52 140 | 95.46 417 | 98.71 275 | 98.29 378 | 96.14 277 | 99.69 326 | 96.30 342 | 99.56 290 | 98.97 361 |
|
| MASt3R-SfM | | | 96.02 407 | 95.82 401 | 96.60 437 | 97.03 502 | 94.90 391 | 94.26 495 | 98.53 401 | 88.40 525 | 98.41 323 | 98.67 315 | 92.39 397 | 97.62 520 | 95.31 387 | 99.41 335 | 97.29 492 |
|
| hybridnocas07 | | | 98.32 222 | 98.37 201 | 98.17 311 | 99.14 264 | 95.51 355 | 96.67 375 | 99.56 119 | 97.85 243 | 98.75 268 | 98.95 245 | 96.65 251 | 99.63 371 | 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 | | | 97.70 298 | 98.19 235 | 96.24 451 | 99.75 34 | 89.51 511 | 94.69 479 | 99.64 78 | 98.23 201 | 99.46 101 | 98.57 337 | 98.25 107 | 99.85 158 | 95.65 377 | 99.44 330 | 99.36 250 |
|
| dtuonly | | | 96.49 383 | 97.28 319 | 94.10 504 | 98.80 346 | 83.27 538 | 93.66 511 | 99.48 157 | 95.10 430 | 97.87 371 | 98.30 375 | 95.61 305 | 99.68 338 | 96.98 272 | 99.75 192 | 99.33 266 |
|
| dtuplus | | | 98.32 222 | 98.39 195 | 98.10 319 | 99.15 262 | 95.29 373 | 96.68 373 | 99.51 142 | 97.32 301 | 99.18 179 | 99.15 175 | 97.61 172 | 99.62 375 | 97.19 249 | 99.74 195 | 99.38 239 |
|
| SIFT-UM-Cal | | | 96.49 383 | 96.62 371 | 96.12 462 | 98.13 442 | 97.89 188 | 93.35 517 | 98.44 406 | 95.48 416 | 98.63 287 | 98.34 368 | 95.45 313 | 97.45 521 | 92.22 476 | 99.50 315 | 93.02 532 |
|
| SIFT-NCM-Cal | | | 96.56 378 | 96.68 364 | 96.20 455 | 98.27 425 | 98.44 118 | 94.40 490 | 96.67 473 | 95.29 424 | 97.63 388 | 98.17 389 | 96.40 263 | 96.59 533 | 93.61 436 | 99.66 252 | 93.57 525 |
|
| SIFT-CM-Cal | | | 96.28 396 | 96.31 389 | 96.16 459 | 98.39 414 | 98.11 151 | 93.46 516 | 96.47 479 | 94.81 440 | 98.49 313 | 98.43 357 | 94.48 344 | 97.34 524 | 92.60 470 | 99.70 226 | 93.02 532 |
|
| SIFT-PCN-Cal | | | 96.34 391 | 96.46 383 | 96.01 466 | 98.17 436 | 96.89 288 | 93.48 515 | 97.35 448 | 94.84 438 | 99.35 130 | 98.30 375 | 94.70 339 | 97.92 514 | 92.03 477 | 99.88 95 | 93.21 531 |
|
| SIFT-NN-UMatch | | | 95.38 436 | 95.26 429 | 95.75 475 | 98.25 426 | 97.78 204 | 93.24 520 | 95.66 499 | 94.01 465 | 95.10 497 | 97.47 445 | 93.12 382 | 96.78 530 | 92.42 473 | 98.04 471 | 92.69 537 |
|
| SIFT-NN-NCMNet | | | 95.39 435 | 95.22 432 | 95.92 468 | 98.29 421 | 98.34 129 | 93.58 513 | 94.60 507 | 94.07 463 | 94.84 501 | 97.53 437 | 94.37 351 | 96.62 531 | 91.01 497 | 98.64 435 | 92.80 535 |
|
| SIFT-NN-CMatch | | | 95.63 426 | 95.48 415 | 96.08 463 | 98.24 428 | 98.00 169 | 92.71 522 | 94.29 511 | 94.20 457 | 95.85 479 | 97.26 455 | 95.72 302 | 97.01 526 | 91.99 478 | 99.02 401 | 93.23 529 |
|
| SIFT-NN-PointCN | | | 96.06 404 | 96.11 395 | 95.91 469 | 97.88 455 | 97.73 210 | 93.49 514 | 97.51 442 | 93.22 475 | 96.57 456 | 98.26 380 | 96.23 274 | 96.60 532 | 92.54 471 | 99.27 362 | 93.40 527 |
|
| XFeat-NN | | | 89.63 500 | 89.13 503 | 91.14 521 | 90.93 545 | 90.02 508 | 84.90 538 | 94.05 517 | 88.10 526 | 92.89 524 | 93.33 523 | 78.74 507 | 90.89 542 | 83.46 528 | 95.72 522 | 92.52 538 |
|
| ALIKED-NN | | | 94.29 457 | 93.41 466 | 96.94 421 | 96.18 525 | 97.66 215 | 94.90 471 | 98.68 386 | 88.85 521 | 90.43 533 | 96.81 466 | 89.82 432 | 96.59 533 | 86.67 521 | 98.33 449 | 96.58 506 |
|
| SP-NN | | | 94.67 449 | 94.44 451 | 95.36 489 | 95.12 533 | 95.23 378 | 94.27 494 | 96.10 486 | 94.46 448 | 90.91 532 | 95.76 490 | 91.47 416 | 93.87 540 | 95.23 390 | 96.62 506 | 97.00 496 |
|
| SIFT-NN | | | 92.96 481 | 92.79 475 | 93.46 512 | 96.92 504 | 96.45 315 | 91.89 528 | 94.39 509 | 92.91 483 | 92.54 526 | 95.46 498 | 88.26 448 | 90.71 543 | 85.22 524 | 97.52 482 | 93.22 530 |
|
| 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 | | | 86.26 504 | 84.68 506 | 91.01 522 | 80.58 548 | 83.56 536 | 78.04 539 | 93.59 519 | 76.70 539 | 95.29 494 | 94.72 512 | 77.51 513 | 94.26 539 | 66.39 542 | 99.33 349 | 95.20 519 |
|
| PDCNetPlus | | | 95.22 440 | 94.73 447 | 96.70 435 | 97.85 457 | 91.14 494 | 93.94 505 | 99.97 1 | 93.06 480 | 98.95 222 | 98.89 262 | 74.32 517 | 99.14 483 | 95.63 378 | 99.93 57 | 99.82 36 |
|
| hybrid | | | 98.22 239 | 98.27 221 | 98.08 324 | 99.13 267 | 95.24 375 | 96.61 381 | 99.53 134 | 97.43 290 | 98.46 317 | 98.97 237 | 96.75 245 | 99.65 363 | 97.84 187 | 99.69 232 | 99.35 256 |
|
| RoMa-SfM | | | 98.46 198 | 98.27 221 | 99.02 149 | 99.35 197 | 98.32 130 | 97.56 290 | 99.70 53 | 95.88 395 | 99.38 121 | 98.65 321 | 96.41 262 | 99.46 442 | 97.78 192 | 99.71 217 | 99.28 285 |
|
| DKM | | | 98.18 247 | 97.95 264 | 98.85 180 | 99.35 197 | 98.31 131 | 96.68 373 | 99.69 56 | 96.90 339 | 98.61 293 | 98.77 290 | 94.41 347 | 98.93 493 | 97.32 240 | 99.84 114 | 99.32 271 |
|
| ELoFTR | | | 97.81 292 | 97.74 284 | 98.04 330 | 99.39 183 | 95.79 346 | 97.28 331 | 99.58 101 | 94.13 459 | 99.38 121 | 99.37 104 | 93.31 377 | 99.60 387 | 97.23 246 | 99.96 28 | 98.74 403 |
|
| MatchFormer | | | 97.07 353 | 96.92 345 | 97.49 391 | 98.44 407 | 95.92 337 | 96.79 363 | 99.14 305 | 93.08 479 | 99.32 143 | 99.10 190 | 93.89 365 | 99.03 486 | 92.78 464 | 99.78 164 | 97.52 484 |
|
| LoFTR | | | 97.97 271 | 97.79 280 | 98.53 263 | 98.80 346 | 97.47 231 | 97.01 348 | 99.55 124 | 95.55 411 | 99.46 101 | 99.22 152 | 94.22 357 | 99.44 447 | 96.45 331 | 99.82 133 | 98.68 412 |
|
| ALIKED-LG | | | 97.10 349 | 96.63 370 | 98.50 270 | 97.96 450 | 98.68 99 | 97.75 259 | 99.68 63 | 95.86 396 | 98.36 331 | 98.33 372 | 91.58 412 | 99.04 485 | 90.87 502 | 99.31 354 | 97.77 473 |
|
| SP-DiffGlue | | | 96.87 365 | 96.76 358 | 97.21 406 | 95.17 532 | 96.88 290 | 96.12 418 | 98.93 341 | 96.51 360 | 98.37 329 | 97.55 436 | 93.65 373 | 97.83 515 | 96.11 356 | 98.45 447 | 96.92 497 |
|
| SP-LightGlue | | | 97.22 341 | 97.01 339 | 97.88 343 | 97.33 491 | 97.19 263 | 96.38 398 | 99.08 314 | 97.28 306 | 96.53 459 | 97.50 441 | 92.36 398 | 98.70 502 | 97.84 187 | 98.76 423 | 97.74 475 |
|
| SP-SuperGlue | | | 97.31 331 | 97.23 324 | 97.57 384 | 96.96 503 | 97.24 255 | 96.26 409 | 98.76 376 | 97.68 257 | 96.88 441 | 97.85 417 | 94.32 353 | 98.01 512 | 97.76 198 | 98.57 442 | 97.45 487 |
|
| SIFT-UMatch | | | 96.33 392 | 96.47 381 | 95.89 470 | 98.29 421 | 97.95 179 | 93.84 507 | 97.24 453 | 95.78 403 | 98.72 272 | 98.04 402 | 93.45 376 | 96.81 529 | 93.14 453 | 99.73 199 | 92.91 534 |
|
| SIFT-NCMNet | | | 96.30 394 | 96.40 385 | 96.03 465 | 97.80 462 | 97.68 214 | 92.34 526 | 96.94 466 | 95.55 411 | 98.84 251 | 98.63 327 | 94.17 358 | 97.63 519 | 93.57 440 | 99.71 217 | 92.77 536 |
|
| SIFT-ConvMatch | | | 96.57 377 | 96.62 371 | 96.43 442 | 98.20 432 | 98.27 134 | 93.88 506 | 96.88 469 | 95.29 424 | 98.88 242 | 98.25 381 | 95.18 321 | 97.43 522 | 93.22 451 | 99.83 126 | 93.59 524 |
|
| SIFT-PointCN | | | 96.45 388 | 96.47 381 | 96.39 444 | 98.13 442 | 97.54 225 | 93.31 518 | 97.23 454 | 94.67 443 | 98.68 279 | 98.32 373 | 94.64 340 | 97.81 516 | 93.50 443 | 99.77 172 | 93.83 522 |
|
| XFeat-MNN | | | 93.41 473 | 92.98 473 | 94.68 497 | 92.63 539 | 92.92 458 | 89.72 535 | 95.81 493 | 92.10 494 | 97.23 419 | 96.29 479 | 84.95 474 | 97.31 525 | 89.60 510 | 98.54 444 | 93.81 523 |
|
| ALIKED-MNN | | | 95.97 413 | 95.30 428 | 98.00 333 | 97.66 474 | 98.12 150 | 96.98 351 | 99.41 200 | 91.11 506 | 94.04 514 | 97.30 454 | 91.56 413 | 98.61 504 | 89.99 507 | 99.63 262 | 97.28 493 |
|
| SP-MNN | | | 96.46 387 | 96.24 394 | 97.10 412 | 96.71 511 | 95.98 334 | 96.00 424 | 97.33 449 | 95.82 400 | 94.93 500 | 97.10 463 | 93.70 372 | 98.01 512 | 96.30 342 | 98.30 453 | 97.30 491 |
|
| SIFT-MNN | | | 95.92 415 | 95.97 397 | 95.74 477 | 98.18 434 | 98.00 169 | 94.17 497 | 96.99 461 | 95.74 405 | 97.16 420 | 97.90 413 | 90.71 424 | 95.79 535 | 93.71 434 | 99.21 375 | 93.44 526 |
|
| 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 | 99.61 383 | 98.13 155 | 99.83 126 | 99.50 168 |
|
| gbinet_0.2-2-1-0.02 | | | 95.44 433 | 94.55 448 | 98.14 315 | 95.99 529 | 95.34 371 | 94.71 475 | 98.29 415 | 96.00 389 | 96.05 476 | 90.50 538 | 84.99 473 | 99.79 246 | 97.33 238 | 97.07 500 | 99.28 285 |
|
| 0.3-1-1-0.015 | | | 87.27 503 | 84.50 507 | 95.57 481 | 91.70 541 | 90.77 500 | 89.41 536 | 92.04 529 | 88.98 519 | 82.46 543 | 81.35 541 | 60.36 544 | 99.50 427 | 92.96 455 | 81.23 539 | 96.45 507 |
|
| 0.4-1-1-0.1 | | | 88.42 501 | 85.91 504 | 95.94 467 | 93.08 538 | 91.54 480 | 90.99 530 | 92.04 529 | 89.96 515 | 84.83 541 | 83.25 540 | 63.75 540 | 99.52 420 | 93.25 449 | 82.07 537 | 96.75 502 |
|
| 0.4-1-1-0.2 | | | 87.49 502 | 84.89 505 | 95.31 490 | 91.33 544 | 90.08 507 | 88.47 537 | 92.07 528 | 88.70 522 | 84.06 542 | 81.08 542 | 63.62 541 | 99.49 431 | 92.93 457 | 81.71 538 | 96.37 508 |
|
| wanda-best-256-512 | | | 95.48 431 | 94.74 445 | 97.68 364 | 96.53 515 | 94.12 419 | 94.17 497 | 98.57 397 | 95.84 397 | 96.71 448 | 91.16 534 | 86.05 463 | 99.76 270 | 97.57 216 | 96.09 514 | 99.17 325 |
|
| 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 | 96.34 269 | 99.93 53 | 98.05 164 | 99.36 342 | 99.54 143 |
|
| usedtu_dtu_shiyan1 | | | 97.37 325 | 97.13 332 | 98.11 317 | 99.03 292 | 95.40 366 | 94.47 487 | 98.99 334 | 96.87 341 | 97.97 363 | 97.81 420 | 92.12 404 | 99.75 282 | 97.49 229 | 99.43 332 | 99.16 331 |
|
| blended_shiyan8 | | | 95.98 411 | 95.33 425 | 97.94 338 | 97.05 501 | 94.87 394 | 95.34 457 | 98.59 394 | 96.17 377 | 97.09 424 | 92.39 529 | 87.62 452 | 99.76 270 | 97.65 208 | 96.05 520 | 99.20 311 |
|
| 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 | | | 95.48 431 | 94.74 445 | 97.68 364 | 96.53 515 | 94.12 419 | 94.17 497 | 98.57 397 | 95.84 397 | 96.71 448 | 91.16 534 | 86.05 463 | 99.76 270 | 97.57 216 | 96.09 514 | 99.17 325 |
|
| 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 | | | 95.99 410 | 95.33 425 | 97.95 337 | 97.06 499 | 94.89 392 | 95.34 457 | 98.58 395 | 96.17 377 | 97.06 426 | 92.41 528 | 87.64 451 | 99.76 270 | 97.64 209 | 96.09 514 | 99.19 317 |
|
| usedtu_blend_shiyan5 | | | 96.20 402 | 95.62 408 | 97.94 338 | 96.53 515 | 94.93 389 | 98.83 96 | 99.59 98 | 98.89 138 | 96.71 448 | 91.16 534 | 86.05 463 | 99.73 296 | 96.70 302 | 96.09 514 | 99.17 325 |
|
| blend_shiyan4 | | | 92.09 494 | 90.16 501 | 97.88 343 | 96.78 509 | 94.93 389 | 95.24 461 | 98.58 395 | 96.22 375 | 96.07 474 | 91.42 533 | 63.46 542 | 99.73 296 | 96.70 302 | 76.98 542 | 98.98 357 |
|
| 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 | | | 97.37 325 | 97.13 332 | 98.11 317 | 99.03 292 | 95.40 366 | 94.47 487 | 98.99 334 | 96.87 341 | 97.97 363 | 97.81 420 | 92.12 404 | 99.75 282 | 97.49 229 | 99.43 332 | 99.16 331 |
|
| 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 | 98.34 207 | 98.62 238 | 99.19 246 | 96.90 287 | 97.32 323 | 99.50 147 | 97.40 293 | 98.63 287 | 98.92 250 | 97.21 209 | 99.65 363 | 97.34 236 | 99.52 304 | 99.31 276 |
|
| 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 | 98.09 224 | 99.00 207 | 99.20 156 | 97.90 143 | 99.67 343 | 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 | 96.46 366 | 99.53 83 | 98.77 290 | | 99.83 195 | 96.67 306 | 99.64 256 | 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 | 96.67 306 | 99.64 256 | 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 | 98.09 224 | 99.00 207 | 99.20 156 | 97.90 143 | 99.67 343 | 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 | 99.27 265 | 98.85 145 | 99.61 70 | 99.16 169 | 97.14 213 | 99.86 144 | 98.39 138 | 99.57 286 | 99.81 41 |
|
| TestfortrainingZip | | | | | 98.97 160 | 98.30 420 | 98.43 119 | 98.68 109 | 98.26 416 | 97.76 251 | 98.86 248 | 98.16 391 | 95.15 322 | 99.47 438 | | 97.55 481 | 99.02 350 |
|
| 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 | 98.26 299 | 99.43 174 | 95.65 349 | 97.20 338 | 99.66 70 | 99.20 84 | 99.29 148 | 99.01 224 | 98.29 99 | 99.73 296 | 97.92 178 | 99.75 192 | 99.39 230 |
|
| viewdifsd2359ckpt09 | | | 98.13 253 | 97.92 270 | 98.77 207 | 99.18 254 | 97.35 240 | 97.29 327 | 99.53 134 | 95.81 401 | 98.09 352 | 98.47 353 | 96.34 269 | 99.66 356 | 97.02 265 | 99.51 307 | 99.29 282 |
|
| viewdifsd2359ckpt13 | | | 98.39 213 | 98.29 217 | 98.70 221 | 99.26 227 | 97.19 263 | 97.51 298 | 99.48 157 | 96.94 334 | 98.58 300 | 98.82 280 | 97.47 192 | 99.55 408 | 97.21 248 | 99.33 349 | 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 | 97.73 253 | 98.81 258 | 99.08 197 | 97.55 178 | 99.66 356 | 97.52 223 | 99.67 244 | 99.36 250 |
|
| viewdifsd2359ckpt11 | | | 98.84 119 | 99.04 87 | 98.24 303 | 99.56 111 | 95.51 355 | 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 | 99.61 383 | 97.98 174 | 99.87 100 | 99.55 137 |
|
| viewmsd2359difaftdt | | | 98.84 119 | 99.04 87 | 98.24 303 | 99.56 111 | 95.51 355 | 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 | 98.23 306 | 99.35 197 | 95.48 360 | 96.61 381 | 99.60 92 | 98.37 185 | 98.90 235 | 99.00 228 | 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 | 96.94 334 | 98.97 216 | 99.10 190 | 96.94 227 | 99.74 289 | 97.33 238 | 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 | 98.84 275 | 98.59 67 | 99.89 97 | 97.74 200 | 99.72 208 | 99.27 288 |
|
| icg_test_0407_2 | | | 98.20 244 | 98.38 199 | 97.65 370 | 99.03 292 | 94.03 425 | 95.78 440 | 99.45 176 | 98.16 216 | 99.06 191 | 98.71 302 | 98.27 103 | 99.68 338 | 97.50 224 | 99.45 323 | 99.22 306 |
|
| 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 | 98.84 275 | 98.59 67 | 99.90 81 | 97.74 200 | 99.72 208 | 99.27 288 |
|
| 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 | 99.27 288 |
|
| viewmambaseed2359dif | | | 98.19 245 | 98.26 224 | 97.99 335 | 99.02 299 | 95.03 386 | 96.59 384 | 99.53 134 | 96.21 376 | 99.00 207 | 98.99 230 | 97.62 170 | 99.61 383 | 97.62 211 | 99.72 208 | 99.33 266 |
|
| IMVS_0407 | | | 98.39 213 | 98.64 150 | 97.66 368 | 99.03 292 | 94.03 425 | 98.10 193 | 99.45 176 | 98.16 216 | 99.06 191 | 98.71 302 | 98.27 103 | 99.71 308 | 97.50 224 | 99.45 323 | 99.22 306 |
|
| viewmanbaseed2359cas | | | 98.58 176 | 98.54 167 | 98.70 221 | 99.28 215 | 97.13 272 | 97.47 306 | 99.55 124 | 97.55 273 | 98.96 221 | 98.92 250 | 97.77 157 | 99.59 392 | 97.59 215 | 99.77 172 | 99.39 230 |
|
| IMVS_0404 | | | 98.07 259 | 98.20 231 | 97.69 363 | 99.03 292 | 94.03 425 | 96.67 375 | 99.45 176 | 98.16 216 | 98.03 359 | 98.71 302 | 96.80 238 | 99.82 207 | 97.50 224 | 99.45 323 | 99.22 306 |
|
| 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 | 99.23 301 |
|
| IMVS_0403 | | | 98.34 217 | 98.56 164 | 97.66 368 | 99.03 292 | 94.03 425 | 97.98 222 | 99.45 176 | 98.16 216 | 98.89 238 | 98.71 302 | 97.90 143 | 99.74 289 | 97.50 224 | 99.45 323 | 99.22 306 |
|
| SD_0403 | | | 96.28 396 | 95.83 400 | 97.64 373 | 98.72 356 | 94.30 412 | 98.87 89 | 98.77 374 | 97.80 247 | 96.53 459 | 98.02 404 | 97.34 199 | 99.47 438 | 76.93 538 | 99.48 319 | 99.16 331 |
|
| fmvsm_s_conf0.5_n_9 | | | 99.17 52 | 99.38 28 | 98.53 263 | 99.51 134 | 95.82 344 | 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 | 98.33 212 | 99.44 65 | 99.24 230 | 98.93 79 | 97.45 308 | 99.06 316 | 98.14 222 | 99.06 191 | 98.77 290 | 96.97 226 | 99.82 207 | 96.67 306 | 99.64 256 | 99.58 117 |
|
| NormalMVS | | | 98.26 234 | 97.97 263 | 99.15 121 | 99.64 77 | 97.83 194 | 98.28 167 | 99.43 190 | 99.24 77 | 98.80 260 | 98.85 270 | 89.76 433 | 99.94 41 | 98.04 165 | 99.67 244 | 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 | 99.67 244 | 99.59 109 |
|
| SymmetryMVS | | | 98.05 261 | 97.71 290 | 99.09 132 | 99.29 212 | 97.83 194 | 98.28 167 | 97.64 440 | 99.24 77 | 98.80 260 | 98.85 270 | 89.76 433 | 99.94 41 | 98.04 165 | 99.50 315 | 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 | 96.66 249 | 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 | 96.66 249 | 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 | 99.29 258 | 99.70 15 | 99.60 71 | 99.07 198 | 96.13 279 | 99.94 41 | 99.42 55 | 99.87 100 | 99.68 73 |
|
| LuminaMVS | | | 98.39 213 | 98.20 231 | 98.98 158 | 99.50 140 | 97.49 227 | 97.78 250 | 97.69 435 | 98.75 150 | 99.49 94 | 99.25 142 | 92.30 401 | 99.94 41 | 99.14 75 | 99.88 95 | 99.50 168 |
|
| VortexMVS | | | 97.98 270 | 98.31 214 | 97.02 416 | 98.88 328 | 91.45 483 | 98.03 207 | 99.47 167 | 98.65 160 | 99.55 77 | 99.47 78 | 91.49 415 | 99.81 224 | 99.32 60 | 99.91 80 | 99.80 45 |
|
| AstraMVS | | | 98.16 252 | 98.07 252 | 98.41 281 | 99.51 134 | 95.86 341 | 98.00 214 | 95.14 502 | 98.97 127 | 99.43 108 | 99.24 144 | 93.25 378 | 99.84 177 | 99.21 70 | 99.87 100 | 99.54 143 |
|
| guyue | | | 98.01 265 | 97.93 269 | 98.26 299 | 99.45 167 | 95.48 360 | 98.08 196 | 96.24 482 | 98.89 138 | 99.34 134 | 99.14 179 | 91.32 418 | 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 | 98.20 308 | 99.30 210 | 94.83 395 | 97.23 333 | 99.36 217 | 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 | 97.61 265 | 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 | 98.38 285 | 99.31 206 | 95.48 360 | 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 | 97.74 358 | 99.46 162 | 93.62 448 | 96.45 392 | 99.34 229 | 99.33 66 | 98.93 231 | 98.70 309 | 97.90 143 | 99.90 81 | 99.12 76 | 99.92 71 | 99.69 72 |
|
| testing3-2 | | | 93.78 466 | 93.91 457 | 93.39 515 | 98.82 340 | 81.72 544 | 97.76 256 | 95.28 500 | 98.60 168 | 96.54 458 | 96.66 469 | 65.85 535 | 99.62 375 | 96.65 310 | 98.99 406 | 98.82 385 |
|
| myMVS_eth3d28 | | | 92.92 483 | 92.31 479 | 94.77 495 | 97.84 458 | 87.59 521 | 96.19 412 | 96.11 485 | 97.08 326 | 94.27 508 | 93.49 521 | 66.07 534 | 98.78 499 | 91.78 482 | 97.93 475 | 97.92 463 |
|
| UWE-MVS-28 | | | 90.22 499 | 89.28 502 | 93.02 519 | 94.50 536 | 82.87 540 | 96.52 388 | 87.51 540 | 95.21 428 | 92.36 528 | 96.04 481 | 71.57 521 | 98.25 509 | 72.04 540 | 97.77 477 | 97.94 462 |
|
| 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 | 96.08 331 | 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 | 96.08 331 | 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 | | | 97.50 311 | 97.11 334 | 98.67 226 | 99.02 299 | 96.85 291 | 98.16 183 | 99.71 48 | 98.32 192 | 98.52 311 | 98.54 340 | 83.39 488 | 99.95 25 | 98.79 101 | 99.56 290 | 99.19 317 |
|
| BP-MVS1 | | | 97.40 323 | 96.97 341 | 98.71 220 | 99.07 279 | 96.81 293 | 98.34 163 | 97.18 455 | 98.58 172 | 98.17 341 | 98.61 332 | 84.01 484 | 99.94 41 | 98.97 89 | 99.78 164 | 99.37 242 |
|
| reproduce_monomvs | | | 95.00 446 | 95.25 430 | 94.22 502 | 97.51 485 | 83.34 537 | 97.86 240 | 98.44 406 | 98.51 179 | 99.29 148 | 99.30 125 | 67.68 528 | 99.56 404 | 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 | 98.26 338 | 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 | 97.61 212 | 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 | 97.61 212 | 99.71 217 | 99.62 92 |
|
| mmdepth | | | 0.00 515 | 0.00 518 | 0.00 530 | 0.00 553 | 0.00 555 | 0.00 541 | 0.00 554 | 0.00 548 | 0.00 549 | 0.00 548 | 0.00 552 | 0.00 549 | 0.00 547 | 0.00 547 | 0.00 545 |
|
| monomultidepth | | | 0.00 515 | 0.00 518 | 0.00 530 | 0.00 553 | 0.00 555 | 0.00 541 | 0.00 554 | 0.00 548 | 0.00 549 | 0.00 548 | 0.00 552 | 0.00 549 | 0.00 547 | 0.00 547 | 0.00 545 |
|
| mvs5depth | | | 99.30 33 | 99.59 12 | 98.44 277 | 99.65 71 | 95.35 369 | 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 | | | 95.86 417 | 95.60 410 | 96.63 436 | 95.87 530 | 91.70 478 | 97.93 228 | 98.94 338 | 98.03 227 | 99.56 74 | 99.66 32 | 71.83 520 | 98.26 508 | 99.35 58 | 99.24 368 | 99.91 13 |
|
| ttmdpeth | | | 97.91 274 | 98.02 256 | 97.58 379 | 98.69 369 | 94.10 421 | 98.13 186 | 98.90 348 | 97.95 233 | 97.32 415 | 99.58 47 | 95.95 294 | 98.75 500 | 96.41 334 | 99.22 372 | 99.87 22 |
|
| WBMVS | | | 95.18 441 | 94.78 443 | 96.37 445 | 97.68 472 | 89.74 510 | 95.80 439 | 98.73 383 | 97.54 275 | 98.30 332 | 98.44 356 | 70.06 522 | 99.82 207 | 96.62 312 | 99.87 100 | 99.54 143 |
|
| dongtai | | | 76.24 508 | 75.95 511 | 77.12 526 | 92.39 540 | 67.91 550 | 90.16 532 | 59.44 551 | 82.04 536 | 89.42 536 | 94.67 513 | 49.68 548 | 81.74 544 | 48.06 543 | 77.66 541 | 81.72 540 |
|
| kuosan | | | 69.30 509 | 68.95 512 | 70.34 527 | 87.68 547 | 65.00 551 | 91.11 529 | 59.90 550 | 69.02 540 | 74.46 545 | 88.89 539 | 48.58 549 | 68.03 546 | 28.61 544 | 72.33 544 | 77.99 541 |
|
| MVSMamba_PlusPlus | | | 98.83 122 | 98.98 97 | 98.36 289 | 99.32 204 | 96.58 306 | 98.90 84 | 99.41 200 | 99.75 10 | 98.72 272 | 99.50 68 | 96.17 276 | 99.94 41 | 99.27 64 | 99.78 164 | 98.57 422 |
|
| MGCFI-Net | | | 98.34 217 | 98.28 218 | 98.51 266 | 98.47 402 | 97.59 222 | 98.96 78 | 99.48 157 | 99.18 92 | 97.40 410 | 95.50 495 | 98.66 59 | 99.50 427 | 98.18 152 | 98.71 428 | 98.44 432 |
|
| testing91 | | | 93.32 474 | 92.27 480 | 96.47 441 | 97.54 478 | 91.25 490 | 96.17 416 | 96.76 472 | 97.18 320 | 93.65 520 | 93.50 520 | 65.11 537 | 99.63 371 | 93.04 454 | 97.45 486 | 98.53 423 |
|
| testing11 | | | 93.08 479 | 92.02 485 | 96.26 450 | 97.56 476 | 90.83 499 | 96.32 403 | 95.70 495 | 96.47 365 | 92.66 525 | 93.73 517 | 64.36 538 | 99.59 392 | 93.77 433 | 97.57 480 | 98.37 441 |
|
| testing99 | | | 93.04 480 | 91.98 488 | 96.23 453 | 97.53 480 | 90.70 502 | 96.35 401 | 95.94 490 | 96.87 341 | 93.41 521 | 93.43 522 | 63.84 539 | 99.59 392 | 93.24 450 | 97.19 496 | 98.40 437 |
|
| UBG | | | 93.25 476 | 92.32 478 | 96.04 464 | 97.72 464 | 90.16 505 | 95.92 433 | 95.91 491 | 96.03 387 | 93.95 517 | 93.04 525 | 69.60 524 | 99.52 420 | 90.72 504 | 97.98 473 | 98.45 429 |
|
| UWE-MVS | | | 92.38 489 | 91.76 492 | 94.21 503 | 97.16 495 | 84.65 531 | 95.42 454 | 88.45 539 | 95.96 391 | 96.17 470 | 95.84 489 | 66.36 531 | 99.71 308 | 91.87 481 | 98.64 435 | 98.28 444 |
|
| ETVMVS | | | 92.60 486 | 91.08 495 | 97.18 407 | 97.70 469 | 93.65 447 | 96.54 385 | 95.70 495 | 96.51 360 | 94.68 504 | 92.39 529 | 61.80 543 | 99.50 427 | 86.97 518 | 97.41 489 | 98.40 437 |
|
| sasdasda | | | 98.34 217 | 98.26 224 | 98.58 246 | 98.46 404 | 97.82 199 | 98.96 78 | 99.46 172 | 99.19 89 | 97.46 404 | 95.46 498 | 98.59 67 | 99.46 442 | 98.08 160 | 98.71 428 | 98.46 426 |
|
| testing222 | | | 91.96 495 | 90.37 498 | 96.72 434 | 97.47 487 | 92.59 464 | 96.11 419 | 94.76 504 | 96.83 345 | 92.90 523 | 92.87 526 | 57.92 545 | 99.55 408 | 86.93 519 | 97.52 482 | 98.00 460 |
|
| WB-MVSnew | | | 95.73 422 | 95.57 413 | 96.23 453 | 96.70 512 | 90.70 502 | 96.07 422 | 93.86 518 | 95.60 409 | 97.04 428 | 95.45 502 | 96.00 286 | 99.55 408 | 91.04 496 | 98.31 452 | 98.43 434 |
|
| 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 | 96.10 326 | 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 | 96.09 329 | 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 | | | 98.22 239 | 97.99 259 | 98.91 173 | 98.66 379 | 96.97 280 | 97.89 235 | 94.44 508 | 99.54 40 | 98.95 222 | 99.14 179 | 93.50 375 | 99.92 65 | 99.80 17 | 99.96 28 | 99.85 30 |
|
| WAC-MVS | | | | | | | 90.90 497 | | | | | | | | 91.37 491 | | |
|
| Syy-MVS | | | 96.04 406 | 95.56 414 | 97.49 391 | 97.10 497 | 94.48 407 | 96.18 414 | 96.58 476 | 95.65 407 | 94.77 502 | 92.29 531 | 91.27 419 | 99.36 458 | 98.17 154 | 98.05 469 | 98.63 416 |
|
| 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 | | | 91.92 496 | 90.45 497 | 96.30 447 | 97.10 497 | 90.90 497 | 96.18 414 | 96.58 476 | 95.65 407 | 94.77 502 | 92.29 531 | 53.88 546 | 99.36 458 | 89.59 511 | 98.05 469 | 98.63 416 |
|
| testing3 | | | 93.51 470 | 92.09 483 | 97.75 356 | 98.60 386 | 94.40 409 | 97.32 323 | 95.26 501 | 97.56 271 | 96.79 446 | 95.50 495 | 53.57 547 | 99.77 264 | 95.26 389 | 98.97 410 | 99.08 339 |
|
| SSC-MVS | | | 98.71 142 | 98.74 128 | 98.62 238 | 99.72 45 | 96.08 331 | 98.74 99 | 98.64 391 | 99.74 12 | 99.67 59 | 99.24 144 | 94.57 342 | 99.95 25 | 99.11 77 | 99.24 368 | 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 | 95.59 350 | 98.52 130 | 98.77 374 | 99.65 25 | 99.52 87 | 99.00 228 | 94.34 352 | 99.93 53 | 98.65 114 | 98.83 418 | 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 | 98.71 405 |
|
| dmvs_re | | | 95.98 411 | 95.39 422 | 97.74 358 | 98.86 331 | 97.45 234 | 98.37 159 | 95.69 497 | 97.95 233 | 96.56 457 | 95.95 484 | 90.70 425 | 97.68 518 | 88.32 514 | 96.13 513 | 98.11 452 |
|
| 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 | | | 92.94 482 | 92.21 482 | 95.13 492 | 98.59 389 | 90.99 496 | 97.65 274 | 92.09 527 | 96.95 333 | 94.00 515 | 93.55 519 | 92.34 400 | 96.97 528 | 72.20 539 | 92.52 533 | 97.43 488 |
|
| sd_testset | | | 99.28 36 | 99.31 41 | 99.19 112 | 99.68 64 | 98.06 165 | 99.41 17 | 99.30 250 | 99.69 17 | 99.63 66 | 99.68 25 | 99.25 16 | 99.96 13 | 97.25 245 | 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 | 99.29 282 |
|
| test_cas_vis1_n_1920 | | | 98.33 221 | 98.68 141 | 97.27 403 | 99.69 61 | 92.29 472 | 98.03 207 | 99.85 19 | 97.62 262 | 99.96 4 | 99.62 40 | 93.98 364 | 99.74 289 | 99.52 49 | 99.86 107 | 99.79 47 |
|
| test_vis1_n_1920 | | | 98.40 206 | 98.92 102 | 96.81 430 | 99.74 37 | 90.76 501 | 98.15 184 | 99.91 10 | 98.33 190 | 99.89 18 | 99.55 56 | 95.07 325 | 99.88 115 | 99.76 23 | 99.93 57 | 99.79 47 |
|
| test_vis1_n | | | 98.31 226 | 98.50 174 | 97.73 361 | 99.76 30 | 94.17 417 | 98.68 109 | 99.91 10 | 96.31 372 | 99.79 38 | 99.57 49 | 92.85 391 | 99.42 451 | 99.79 19 | 99.84 114 | 99.60 102 |
|
| test_fmvs1_n | | | 98.09 257 | 98.28 218 | 97.52 388 | 99.68 64 | 93.47 450 | 98.63 116 | 99.93 6 | 95.41 422 | 99.68 57 | 99.64 37 | 91.88 409 | 99.48 435 | 99.82 12 | 99.87 100 | 99.62 92 |
|
| mvsany_test1 | | | 97.60 305 | 97.54 303 | 97.77 352 | 97.72 464 | 95.35 369 | 95.36 456 | 97.13 458 | 94.13 459 | 99.71 49 | 99.33 118 | 97.93 141 | 99.30 469 | 97.60 214 | 98.94 413 | 98.67 414 |
|
| 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 | 99.58 399 | 96.57 317 | 99.55 295 | 98.97 361 |
|
| test_vis1_rt | | | 97.75 294 | 97.72 288 | 97.83 347 | 98.81 343 | 96.35 319 | 97.30 326 | 99.69 56 | 94.61 444 | 97.87 371 | 98.05 401 | 96.26 273 | 98.32 507 | 98.74 107 | 98.18 458 | 98.82 385 |
|
| test_vis3_rt | | | 99.14 62 | 99.17 60 | 99.07 136 | 99.78 24 | 98.38 122 | 98.92 83 | 99.94 3 | 97.80 247 | 99.91 12 | 99.67 30 | 97.15 212 | 98.91 495 | 99.76 23 | 99.56 290 | 99.92 12 |
|
| test_fmvs2 | | | 98.70 147 | 98.97 98 | 97.89 342 | 99.54 123 | 94.05 422 | 98.55 126 | 99.92 8 | 96.78 348 | 99.72 47 | 99.78 13 | 96.60 254 | 99.67 343 | 99.91 2 | 99.90 88 | 99.94 10 |
|
| test_fmvs1 | | | 97.72 296 | 97.94 267 | 97.07 415 | 98.66 379 | 92.39 469 | 97.68 268 | 99.81 32 | 95.20 429 | 99.54 79 | 99.44 85 | 91.56 413 | 99.41 452 | 99.78 21 | 99.77 172 | 99.40 229 |
|
| test_fmvs3 | | | 99.12 69 | 99.41 26 | 98.25 301 | 99.76 30 | 95.07 385 | 99.05 68 | 99.94 3 | 97.78 250 | 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 | 99.10 310 | 96.49 363 | 99.96 4 | 99.81 8 | 98.18 118 | 99.45 445 | 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 | 99.67 343 | 97.81 189 | 99.81 140 | 99.24 299 |
|
| 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 | 99.67 343 | 97.81 189 | 99.81 140 | 99.24 299 |
|
| test_f | | | 98.67 160 | 98.87 111 | 98.05 329 | 99.72 45 | 95.59 350 | 98.51 135 | 99.81 32 | 96.30 374 | 99.78 39 | 99.82 5 | 96.14 277 | 98.63 503 | 99.82 12 | 99.93 57 | 99.95 9 |
|
| FE-MVS | | | 95.66 424 | 94.95 440 | 97.77 352 | 98.53 398 | 95.28 374 | 99.40 19 | 96.09 487 | 93.11 478 | 97.96 365 | 99.26 137 | 79.10 506 | 99.77 264 | 92.40 474 | 98.71 428 | 98.27 445 |
|
| FA-MVS(test-final) | | | 96.99 361 | 96.82 354 | 97.50 390 | 98.70 364 | 94.78 397 | 99.34 23 | 96.99 461 | 95.07 431 | 98.48 315 | 99.33 118 | 88.41 447 | 99.65 363 | 96.13 355 | 98.92 415 | 98.07 455 |
|
| BridgeMVS | | | 98.63 166 | 98.72 132 | 98.38 285 | 98.66 379 | 96.68 302 | 98.90 84 | 99.42 196 | 98.99 124 | 98.97 216 | 99.19 159 | 95.81 299 | 99.85 158 | 98.77 105 | 99.77 172 | 98.60 418 |
|
| MonoMVSNet | | | 96.25 399 | 96.53 379 | 95.39 487 | 96.57 514 | 91.01 495 | 98.82 97 | 97.68 437 | 98.57 174 | 98.03 359 | 99.37 104 | 90.92 422 | 97.78 517 | 94.99 394 | 93.88 531 | 97.38 489 |
|
| patch_mono-2 | | | 98.51 193 | 98.63 152 | 98.17 311 | 99.38 185 | 94.78 397 | 97.36 320 | 99.69 56 | 98.16 216 | 98.49 313 | 99.29 128 | 97.06 217 | 99.97 6 | 98.29 144 | 99.91 80 | 99.76 58 |
|
| EGC-MVSNET | | | 85.24 505 | 80.54 508 | 99.34 83 | 99.77 27 | 99.20 38 | 99.08 62 | 99.29 258 | 12.08 545 | 20.84 546 | 99.42 89 | 97.55 178 | 99.85 158 | 97.08 261 | 99.72 208 | 98.96 364 |
|
| test2506 | | | 92.39 488 | 91.89 490 | 93.89 508 | 99.38 185 | 82.28 542 | 99.32 26 | 66.03 549 | 99.08 114 | 98.77 265 | 99.57 49 | 66.26 532 | 99.84 177 | 98.71 110 | 99.95 39 | 99.54 143 |
|
| test1111 | | | 96.49 383 | 96.82 354 | 95.52 483 | 99.42 176 | 87.08 523 | 99.22 46 | 87.14 541 | 99.11 100 | 99.46 101 | 99.58 47 | 88.69 441 | 99.86 144 | 98.80 100 | 99.95 39 | 99.62 92 |
|
| ECVR-MVS |  | | 96.42 389 | 96.61 373 | 95.85 472 | 99.38 185 | 88.18 518 | 99.22 46 | 86.00 543 | 99.08 114 | 99.36 128 | 99.57 49 | 88.47 446 | 99.82 207 | 98.52 127 | 99.95 39 | 99.54 143 |
|
| test_blank | | | 0.00 515 | 0.00 518 | 0.00 530 | 0.00 553 | 0.00 555 | 0.00 541 | 0.00 554 | 0.00 548 | 0.00 549 | 0.00 548 | 0.00 552 | 0.00 549 | 0.00 547 | 0.00 547 | 0.00 545 |
|
| tt0805 | | | 98.69 151 | 98.62 154 | 98.90 176 | 99.75 34 | 99.30 21 | 99.15 57 | 96.97 463 | 98.86 142 | 98.87 247 | 97.62 433 | 98.63 63 | 98.96 491 | 99.41 56 | 98.29 454 | 98.45 429 |
|
| DVP-MVS++ | | | 98.90 108 | 98.70 138 | 99.51 49 | 98.43 409 | 99.15 52 | 99.43 15 | 99.32 237 | 98.17 213 | 99.26 156 | 99.02 212 | 98.18 118 | 99.88 115 | 97.07 262 | 99.45 323 | 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 | 98.43 409 | 98.37 124 | | 98.86 359 | | | | | 99.89 97 | 97.14 255 | 99.60 273 | 99.71 65 |
|
| PC_three_1452 | | | | | | | | | | 93.27 474 | 99.40 117 | 98.54 340 | 98.22 113 | 97.00 527 | 95.17 391 | 99.45 323 | 99.49 176 |
|
| No_MVS | | | | | 99.32 91 | 98.43 409 | 98.37 124 | | 98.86 359 | | | | | 99.89 97 | 97.14 255 | 99.60 273 | 99.71 65 |
|
| test_one_0601 | | | | | | 99.39 183 | 99.20 38 | | 99.31 242 | 98.49 180 | 98.66 282 | 99.02 212 | 97.64 168 | | | | |
|
| eth-test2 | | | | | | 0.00 553 | | | | | | | | | | | |
|
| eth-test | | | | | | 0.00 553 | | | | | | | | | | | |
|
| 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 | 98.81 283 | 98.94 31 | 99.91 74 | 98.35 140 | 99.73 199 | 99.49 176 |
|
| test_method | | | 79.78 506 | 79.50 509 | 80.62 524 | 80.21 549 | 45.76 552 | 70.82 540 | 98.41 411 | 31.08 544 | 80.89 544 | 97.71 426 | 84.85 475 | 97.37 523 | 91.51 489 | 80.03 540 | 98.75 401 |
|
| Anonymous20240521 | | | 98.69 151 | 98.87 111 | 98.16 314 | 99.77 27 | 95.11 384 | 99.08 62 | 99.44 184 | 99.34 65 | 99.33 137 | 99.55 56 | 94.10 363 | 99.94 41 | 99.25 67 | 99.96 28 | 99.42 217 |
|
| h-mvs33 | | | 97.77 293 | 97.33 318 | 99.10 128 | 99.21 238 | 97.84 193 | 98.35 161 | 98.57 397 | 99.11 100 | 98.58 300 | 99.02 212 | 88.65 444 | 99.96 13 | 98.11 157 | 96.34 509 | 99.49 176 |
|
| hse-mvs2 | | | 97.46 316 | 97.07 335 | 98.64 232 | 98.73 354 | 97.33 242 | 97.45 308 | 97.64 440 | 99.11 100 | 98.58 300 | 97.98 407 | 88.65 444 | 99.79 246 | 98.11 157 | 97.39 490 | 98.81 390 |
|
| CL-MVSNet_self_test | | | 97.44 319 | 97.22 325 | 98.08 324 | 98.57 393 | 95.78 347 | 94.30 493 | 98.79 371 | 96.58 359 | 98.60 296 | 98.19 388 | 94.74 338 | 99.64 368 | 96.41 334 | 98.84 417 | 98.82 385 |
|
| KD-MVS_2432*1600 | | | 92.87 484 | 91.99 486 | 95.51 484 | 91.37 542 | 89.27 512 | 94.07 500 | 98.14 423 | 95.42 419 | 97.25 417 | 96.44 475 | 67.86 526 | 99.24 475 | 91.28 492 | 96.08 518 | 98.02 457 |
|
| 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 | | | 96.24 401 | 95.45 418 | 98.60 244 | 98.70 364 | 97.22 259 | 97.38 315 | 97.65 438 | 95.95 392 | 95.53 490 | 97.96 411 | 82.11 496 | 99.79 246 | 96.31 340 | 97.44 487 | 98.80 395 |
|
| ZD-MVS | | | | | | 99.01 302 | 98.84 85 | | 99.07 315 | 94.10 461 | 98.05 357 | 98.12 394 | 96.36 268 | 99.86 144 | 92.70 467 | 99.19 380 | |
|
| SR-MVS-dyc-post | | | 98.81 127 | 98.55 165 | 99.57 21 | 99.20 242 | 99.38 12 | 98.48 143 | 99.30 250 | 98.64 161 | 98.95 222 | 98.96 241 | 97.49 189 | 99.86 144 | 96.56 321 | 99.39 338 | 99.45 204 |
|
| RE-MVS-def | | | | 98.58 162 | | 99.20 242 | 99.38 12 | 98.48 143 | 99.30 250 | 98.64 161 | 98.95 222 | 98.96 241 | 97.75 159 | | 96.56 321 | 99.39 338 | 99.45 204 |
|
| SED-MVS | | | 98.91 106 | 98.72 132 | 99.49 55 | 99.49 148 | 99.17 43 | 98.10 193 | 99.31 242 | 98.03 227 | 99.66 60 | 99.02 212 | 98.36 90 | 99.88 115 | 96.91 276 | 99.62 266 | 99.41 220 |
|
| IU-MVS | | | | | | 99.49 148 | 99.15 52 | | 98.87 354 | 92.97 481 | 99.41 114 | | | | 96.76 293 | 99.62 266 | 99.66 80 |
|
| OPU-MVS | | | | | 98.82 190 | 98.59 389 | 98.30 132 | 98.10 193 | | | | 98.52 344 | 98.18 118 | 98.75 500 | 94.62 404 | 99.48 319 | 99.41 220 |
|
| test_241102_TWO | | | | | | | | | 99.30 250 | 98.03 227 | 99.26 156 | 99.02 212 | 97.51 185 | 99.88 115 | 96.91 276 | 99.60 273 | 99.66 80 |
|
| test_241102_ONE | | | | | | 99.49 148 | 99.17 43 | | 99.31 242 | 97.98 230 | 99.66 60 | 98.90 256 | 98.36 90 | 99.48 435 | | | |
|
| SF-MVS | | | 98.53 188 | 98.27 221 | 99.32 91 | 99.31 206 | 98.75 90 | 98.19 178 | 99.41 200 | 96.77 349 | 98.83 253 | 98.90 256 | 97.80 155 | 99.82 207 | 95.68 376 | 99.52 304 | 99.38 239 |
|
| cl22 | | | 95.79 420 | 95.39 422 | 96.98 419 | 96.77 510 | 92.79 461 | 94.40 490 | 98.53 401 | 94.59 445 | 97.89 369 | 98.17 389 | 82.82 493 | 99.24 475 | 96.37 336 | 99.03 398 | 98.92 371 |
|
| miper_ehance_all_eth | | | 97.06 354 | 97.03 337 | 97.16 411 | 97.83 459 | 93.06 454 | 94.66 480 | 99.09 312 | 95.99 390 | 98.69 276 | 98.45 355 | 92.73 394 | 99.61 383 | 96.79 289 | 99.03 398 | 98.82 385 |
|
| miper_enhance_ethall | | | 96.01 408 | 95.74 403 | 96.81 430 | 96.41 522 | 92.27 473 | 93.69 510 | 98.89 351 | 91.14 505 | 98.30 332 | 97.35 453 | 90.58 426 | 99.58 399 | 96.31 340 | 99.03 398 | 98.60 418 |
|
| ZNCC-MVS | | | 98.68 157 | 98.40 192 | 99.54 31 | 99.57 103 | 99.21 32 | 98.46 145 | 99.29 258 | 97.28 306 | 98.11 350 | 98.39 361 | 98.00 134 | 99.87 135 | 96.86 286 | 99.64 256 | 99.55 137 |
|
| dcpmvs_2 | | | 98.78 133 | 99.11 74 | 97.78 351 | 99.56 111 | 93.67 445 | 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____ | | | 97.02 357 | 96.83 353 | 97.58 379 | 97.82 460 | 94.04 424 | 94.66 480 | 99.16 299 | 97.04 328 | 98.63 287 | 98.71 302 | 88.68 443 | 99.69 326 | 97.00 267 | 99.81 140 | 99.00 355 |
|
| DIV-MVS_self_test | | | 97.02 357 | 96.84 352 | 97.58 379 | 97.82 460 | 94.03 425 | 94.66 480 | 99.16 299 | 97.04 328 | 98.63 287 | 98.71 302 | 88.69 441 | 99.69 326 | 97.00 267 | 99.81 140 | 99.01 352 |
|
| eth_miper_zixun_eth | | | 97.23 340 | 97.25 322 | 97.17 409 | 98.00 449 | 92.77 462 | 94.71 475 | 99.18 292 | 97.27 308 | 98.56 304 | 98.74 297 | 91.89 408 | 99.69 326 | 97.06 264 | 99.81 140 | 99.05 343 |
|
| 9.14 | | | | 97.78 281 | | 99.07 279 | | 97.53 295 | 99.32 237 | 95.53 414 | 98.54 308 | 98.70 309 | 97.58 175 | 99.76 270 | 94.32 417 | 99.46 321 | |
|
| uanet_test | | | 0.00 515 | 0.00 518 | 0.00 530 | 0.00 553 | 0.00 555 | 0.00 541 | 0.00 554 | 0.00 548 | 0.00 549 | 0.00 548 | 0.00 552 | 0.00 549 | 0.00 547 | 0.00 547 | 0.00 545 |
|
| DCPMVS | | | 0.00 515 | 0.00 518 | 0.00 530 | 0.00 553 | 0.00 555 | 0.00 541 | 0.00 554 | 0.00 548 | 0.00 549 | 0.00 548 | 0.00 552 | 0.00 549 | 0.00 547 | 0.00 547 | 0.00 545 |
|
| save fliter | | | | | | 99.11 270 | 97.97 175 | 96.53 387 | 99.02 328 | 98.24 200 | | | | | | | |
|
| ET-MVSNet_ETH3D | | | 94.30 456 | 93.21 468 | 97.58 379 | 98.14 439 | 94.47 408 | 94.78 474 | 93.24 523 | 94.72 441 | 89.56 535 | 95.87 487 | 78.57 510 | 99.81 224 | 96.91 276 | 97.11 499 | 98.46 426 |
|
| 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 | | | 98.00 266 | 97.74 284 | 98.80 195 | 98.72 356 | 98.09 155 | 98.05 203 | 99.60 92 | 97.39 294 | 96.63 453 | 95.55 493 | 97.68 162 | 99.80 233 | 96.73 298 | 99.27 362 | 98.52 424 |
|
| miper_refine_blended | | | 92.87 484 | 91.99 486 | 95.51 484 | 91.37 542 | 89.27 512 | 94.07 500 | 98.14 423 | 95.42 419 | 97.25 417 | 96.44 475 | 67.86 526 | 99.24 475 | 91.28 492 | 96.08 518 | 98.02 457 |
|
| miper_lstm_enhance | | | 97.18 345 | 97.16 328 | 97.25 405 | 98.16 437 | 92.85 460 | 95.15 465 | 99.31 242 | 97.25 310 | 98.74 271 | 98.78 288 | 90.07 429 | 99.78 258 | 97.19 249 | 99.80 152 | 99.11 338 |
|
| ETV-MVS | | | 98.03 262 | 97.86 276 | 98.56 254 | 98.69 369 | 98.07 162 | 97.51 298 | 99.50 147 | 98.10 223 | 97.50 401 | 95.51 494 | 98.41 85 | 99.88 115 | 96.27 345 | 99.24 368 | 97.71 478 |
|
| 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 | 98.21 340 | 98.46 354 | 98.68 58 | 99.93 53 | 99.03 85 | 99.85 109 | 98.64 415 |
|
| D2MVS | | | 97.84 289 | 97.84 278 | 97.83 347 | 99.14 264 | 94.74 399 | 96.94 354 | 98.88 352 | 95.84 397 | 98.89 238 | 98.96 241 | 94.40 349 | 99.69 326 | 97.55 218 | 99.95 39 | 99.05 343 |
|
| DVP-MVS |  | | 98.77 136 | 98.52 170 | 99.52 44 | 99.50 140 | 99.21 32 | 98.02 210 | 98.84 363 | 97.97 231 | 99.08 189 | 99.02 212 | 97.61 172 | 99.88 115 | 96.99 269 | 99.63 262 | 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 | | | | | | | | | | 98.17 213 | 99.08 189 | 99.02 212 | 97.89 147 | 99.88 115 | 97.07 262 | 99.71 217 | 99.70 70 |
|
| test_0728_SECOND | | | | | 99.60 16 | 99.50 140 | 99.23 30 | 98.02 210 | 99.32 237 | | | | | 99.88 115 | 96.99 269 | 99.63 262 | 99.68 73 |
|
| test0726 | | | | | | 99.50 140 | 99.21 32 | 98.17 182 | 99.35 223 | 97.97 231 | 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 | 99.29 258 | 98.29 197 | 98.88 242 | 98.85 270 | 97.53 182 | 99.87 135 | 96.14 353 | 99.31 354 | 99.48 187 |
|
| DPM-MVS | | | 96.32 393 | 95.59 412 | 98.51 266 | 98.76 350 | 97.21 261 | 94.54 486 | 98.26 416 | 91.94 495 | 96.37 467 | 97.25 456 | 93.06 386 | 99.43 449 | 91.42 490 | 98.74 424 | 98.89 376 |
|
| GST-MVS | | | 98.61 170 | 98.30 215 | 99.52 44 | 99.51 134 | 99.20 38 | 98.26 171 | 99.25 273 | 97.44 289 | 98.67 280 | 98.39 361 | 97.68 162 | 99.85 158 | 96.00 358 | 99.51 307 | 99.52 160 |
|
| test_yl | | | 96.69 371 | 96.29 390 | 97.90 340 | 98.28 423 | 95.24 375 | 97.29 327 | 97.36 445 | 98.21 205 | 98.17 341 | 97.86 415 | 86.27 458 | 99.55 408 | 94.87 398 | 98.32 450 | 98.89 376 |
|
| thisisatest0530 | | | 95.27 438 | 94.45 450 | 97.74 358 | 99.19 246 | 94.37 410 | 97.86 240 | 90.20 536 | 97.17 321 | 98.22 339 | 97.65 430 | 73.53 519 | 99.90 81 | 96.90 281 | 99.35 345 | 98.95 365 |
|
| Anonymous20240529 | | | 98.93 104 | 98.87 111 | 99.12 124 | 99.19 246 | 98.22 142 | 99.01 71 | 98.99 334 | 99.25 76 | 99.54 79 | 99.37 104 | 97.04 218 | 99.80 233 | 97.89 179 | 99.52 304 | 99.35 256 |
|
| Anonymous202405211 | | | 97.90 275 | 97.50 306 | 99.08 134 | 98.90 322 | 98.25 136 | 98.53 129 | 96.16 483 | 98.87 140 | 99.11 184 | 98.86 267 | 90.40 428 | 99.78 258 | 97.36 235 | 99.31 354 | 99.19 317 |
|
| DCV-MVSNet | | | 96.69 371 | 96.29 390 | 97.90 340 | 98.28 423 | 95.24 375 | 97.29 327 | 97.36 445 | 98.21 205 | 98.17 341 | 97.86 415 | 86.27 458 | 99.55 408 | 94.87 398 | 98.32 450 | 98.89 376 |
|
| tttt0517 | | | 95.64 425 | 94.98 438 | 97.64 373 | 99.36 192 | 93.81 440 | 98.72 104 | 90.47 535 | 98.08 226 | 98.67 280 | 98.34 368 | 73.88 518 | 99.92 65 | 97.77 194 | 99.51 307 | 99.20 311 |
|
| our_test_3 | | | 97.39 324 | 97.73 287 | 96.34 446 | 98.70 364 | 89.78 509 | 94.61 483 | 98.97 337 | 96.50 362 | 99.04 201 | 98.85 270 | 95.98 291 | 99.84 177 | 97.26 244 | 99.67 244 | 99.41 220 |
|
| thisisatest0515 | | | 94.12 461 | 93.16 469 | 96.97 420 | 98.60 386 | 92.90 459 | 93.77 509 | 90.61 534 | 94.10 461 | 96.91 435 | 95.87 487 | 74.99 516 | 99.80 233 | 94.52 407 | 99.12 391 | 98.20 447 |
|
| ppachtmachnet_test | | | 97.50 311 | 97.74 284 | 96.78 432 | 98.70 364 | 91.23 492 | 94.55 485 | 99.05 320 | 96.36 369 | 99.21 172 | 98.79 286 | 96.39 264 | 99.78 258 | 96.74 296 | 99.82 133 | 99.34 260 |
|
| SMA-MVS |  | | 98.40 206 | 98.03 255 | 99.51 49 | 99.16 258 | 99.21 32 | 98.05 203 | 99.22 281 | 94.16 458 | 98.98 212 | 99.10 190 | 97.52 184 | 99.79 246 | 96.45 331 | 99.64 256 | 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 | | | | | | | | | | | | | | | | | 98.81 390 |
|
| DPE-MVS |  | | 98.59 174 | 98.26 224 | 99.57 21 | 99.27 218 | 99.15 52 | 97.01 348 | 99.39 207 | 97.67 258 | 99.44 107 | 98.99 230 | 97.53 182 | 99.89 97 | 95.40 386 | 99.68 238 | 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 | | | 94.19 458 | 93.67 462 | 95.75 475 | 99.06 284 | 91.35 486 | 98.03 207 | 94.24 514 | 98.33 190 | 97.40 410 | 94.98 507 | 79.84 500 | 99.62 375 | 83.05 529 | 98.08 466 | 96.29 509 |
|
| 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 | 95.92 362 | 99.69 232 | 99.04 347 |
|
| tfpn200view9 | | | 94.03 462 | 93.44 464 | 95.78 474 | 98.93 314 | 91.44 484 | 97.60 285 | 94.29 511 | 97.94 235 | 97.10 422 | 94.31 515 | 79.67 502 | 99.62 375 | 83.05 529 | 98.08 466 | 96.29 509 |
|
| c3_l | | | 97.36 327 | 97.37 314 | 97.31 400 | 98.09 444 | 93.25 452 | 95.01 468 | 99.16 299 | 97.05 327 | 98.77 265 | 98.72 300 | 92.88 389 | 99.64 368 | 96.93 275 | 99.76 188 | 99.05 343 |
|
| CHOSEN 280x420 | | | 95.51 430 | 95.47 416 | 95.65 480 | 98.25 426 | 88.27 517 | 93.25 519 | 98.88 352 | 93.53 471 | 94.65 505 | 97.15 459 | 86.17 460 | 99.93 53 | 97.41 233 | 99.93 57 | 98.73 404 |
|
| CANet | | | 97.87 282 | 97.76 282 | 98.19 310 | 97.75 463 | 95.51 355 | 96.76 367 | 99.05 320 | 97.74 252 | 96.93 432 | 98.21 386 | 95.59 307 | 99.89 97 | 97.86 186 | 99.93 57 | 99.19 317 |
|
| Fast-Effi-MVS+-dtu | | | 98.27 232 | 98.09 247 | 98.81 192 | 98.43 409 | 98.11 151 | 97.61 284 | 99.50 147 | 98.64 161 | 97.39 412 | 97.52 440 | 98.12 126 | 99.95 25 | 96.90 281 | 98.71 428 | 98.38 439 |
|
| Effi-MVS+-dtu | | | 98.26 234 | 97.90 273 | 99.35 80 | 98.02 448 | 99.49 5 | 98.02 210 | 99.16 299 | 98.29 197 | 97.64 387 | 97.99 406 | 96.44 261 | 99.95 25 | 96.66 309 | 98.93 414 | 98.60 418 |
|
| CANet_DTU | | | 97.26 336 | 97.06 336 | 97.84 346 | 97.57 475 | 94.65 404 | 96.19 412 | 98.79 371 | 97.23 316 | 95.14 496 | 98.24 383 | 93.22 380 | 99.84 177 | 97.34 236 | 99.84 114 | 99.04 347 |
|
| MGCNet | | | 97.44 319 | 97.01 339 | 98.72 219 | 96.42 521 | 96.74 298 | 97.20 338 | 91.97 531 | 98.46 182 | 98.30 332 | 98.79 286 | 92.74 393 | 99.91 74 | 99.30 62 | 99.94 51 | 99.52 160 |
|
| MP-MVS-pluss | | | 98.57 177 | 98.23 229 | 99.60 16 | 99.69 61 | 99.35 16 | 97.16 343 | 99.38 209 | 94.87 437 | 98.97 216 | 98.99 230 | 98.01 133 | 99.88 115 | 97.29 242 | 99.70 226 | 99.58 117 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| MSP-MVS | | | 98.40 206 | 98.00 258 | 99.61 13 | 99.57 103 | 99.25 28 | 98.57 124 | 99.35 223 | 97.55 273 | 99.31 146 | 97.71 426 | 94.61 341 | 99.88 115 | 96.14 353 | 99.19 380 | 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 | | | | | | | | | | | | | 84.74 477 | | | | 98.81 390 |
|
| sam_mvs | | | | | | | | | | | | | 84.29 483 | | | | |
|
| IterMVS-SCA-FT | | | 97.85 288 | 98.18 237 | 96.87 426 | 99.27 218 | 91.16 493 | 95.53 448 | 99.25 273 | 99.10 107 | 99.41 114 | 99.35 111 | 93.10 384 | 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 | 98.94 338 | 96.96 332 | 99.24 166 | 98.89 262 | 97.83 151 | 99.81 224 | 96.88 283 | 99.49 318 | 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 | | | 97.86 283 | 98.17 238 | 96.92 423 | 98.98 307 | 93.91 435 | 96.45 392 | 99.17 296 | 97.85 243 | 98.41 323 | 97.14 460 | 98.47 77 | 99.92 65 | 98.02 167 | 99.05 394 | 96.92 497 |
|
| OPM-MVS | | | 98.56 179 | 98.32 213 | 99.25 104 | 99.41 179 | 98.73 94 | 97.13 345 | 99.18 292 | 97.10 325 | 98.75 268 | 98.92 250 | 98.18 118 | 99.65 363 | 96.68 305 | 99.56 290 | 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 | 99.25 273 | 96.94 334 | 98.78 262 | 99.12 185 | 98.02 132 | 99.84 177 | 97.13 258 | 99.67 244 | 99.59 109 |
|
| ambc | | | | | 98.24 303 | 98.82 340 | 95.97 336 | 98.62 118 | 99.00 333 | | 99.27 152 | 99.21 154 | 96.99 224 | 99.50 427 | 96.55 324 | 99.50 315 | 99.26 294 |
|
| MTGPA |  | | | | | | | | 99.20 284 | | | | | | | | |
|
| 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 | 98.16 344 | 98.51 345 | 98.64 61 | 99.93 53 | 98.91 93 | 99.85 109 | 98.88 379 |
|
| Effi-MVS+ | | | 98.02 263 | 97.82 279 | 98.62 238 | 98.53 398 | 97.19 263 | 97.33 322 | 99.68 63 | 97.30 304 | 96.68 451 | 97.46 446 | 98.56 73 | 99.80 233 | 96.63 311 | 98.20 457 | 98.86 381 |
|
| xiu_mvs_v2_base | | | 97.16 347 | 97.49 307 | 96.17 457 | 98.54 396 | 92.46 467 | 95.45 452 | 98.84 363 | 97.25 310 | 97.48 403 | 96.49 472 | 98.31 97 | 99.90 81 | 96.34 339 | 98.68 433 | 96.15 513 |
|
| xiu_mvs_v1_base | | | 97.86 283 | 98.17 238 | 96.92 423 | 98.98 307 | 93.91 435 | 96.45 392 | 99.17 296 | 97.85 243 | 98.41 323 | 97.14 460 | 98.47 77 | 99.92 65 | 98.02 167 | 99.05 394 | 96.92 497 |
|
| new-patchmatchnet | | | 98.35 216 | 98.74 128 | 97.18 407 | 99.24 230 | 92.23 474 | 96.42 396 | 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 | | | 97.64 303 | 97.49 307 | 98.08 324 | 99.14 264 | 95.12 383 | 96.70 372 | 99.05 320 | 93.77 468 | 98.62 291 | 98.83 277 | 93.23 379 | 99.75 282 | 98.33 143 | 99.76 188 | 99.36 250 |
|
| test_post1 | | | | | | | | 97.59 287 | | | | 20.48 547 | 83.07 491 | 99.66 356 | 94.16 418 | | |
|
| test_post | | | | | | | | | | | | 21.25 546 | 83.86 486 | 99.70 316 | | | |
|
| Fast-Effi-MVS+ | | | 97.67 301 | 97.38 313 | 98.57 249 | 98.71 360 | 97.43 237 | 97.23 333 | 99.45 176 | 94.82 439 | 96.13 471 | 96.51 471 | 98.52 75 | 99.91 74 | 96.19 349 | 98.83 418 | 98.37 441 |
|
| patchmatchnet-post | | | | | | | | | | | | 98.77 290 | 84.37 480 | 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 | 96.84 232 | 99.83 195 | 99.21 70 | 99.91 80 | 99.77 53 |
|
| pmmvs-eth3d | | | 98.47 197 | 98.34 207 | 98.86 179 | 99.30 210 | 97.76 206 | 97.16 343 | 99.28 262 | 95.54 413 | 99.42 112 | 99.19 159 | 97.27 204 | 99.63 371 | 97.89 179 | 99.97 21 | 99.20 311 |
|
| GG-mvs-BLEND | | | | | 94.76 496 | 94.54 535 | 92.13 475 | 99.31 30 | 80.47 547 | | 88.73 538 | 91.01 537 | 67.59 529 | 98.16 511 | 82.30 533 | 94.53 529 | 93.98 521 |
|
| xiu_mvs_v1_base_debi | | | 97.86 283 | 98.17 238 | 96.92 423 | 98.98 307 | 93.91 435 | 96.45 392 | 99.17 296 | 97.85 243 | 98.41 323 | 97.14 460 | 98.47 77 | 99.92 65 | 98.02 167 | 99.05 394 | 96.92 497 |
|
| Anonymous20231206 | | | 98.21 242 | 98.21 230 | 98.20 308 | 99.51 134 | 95.43 365 | 98.13 186 | 99.32 237 | 96.16 381 | 98.93 231 | 98.82 280 | 96.00 286 | 99.83 195 | 97.32 240 | 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 | 99.20 284 | 98.83 149 | 98.89 238 | 98.90 256 | 96.98 225 | 99.92 65 | 97.16 252 | 99.70 226 | 99.56 130 |
|
| MTMP | | | | | | | | 97.93 228 | 91.91 532 | | | | | | | | |
|
| gm-plane-assit | | | | | | 94.83 534 | 81.97 543 | | | 88.07 527 | | 94.99 506 | | 99.60 387 | 91.76 483 | | |
|
| test9_res | | | | | | | | | | | | | | | 93.28 448 | 99.15 385 | 99.38 239 |
|
| MVP-Stereo | | | 98.08 258 | 97.92 270 | 98.57 249 | 98.96 310 | 96.79 294 | 97.90 234 | 99.18 292 | 96.41 368 | 98.46 317 | 98.95 245 | 95.93 295 | 99.60 387 | 96.51 327 | 98.98 409 | 99.31 276 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| TEST9 | | | | | | 98.71 360 | 98.08 159 | 95.96 428 | 99.03 325 | 91.40 501 | 95.85 479 | 97.53 437 | 96.52 257 | 99.76 270 | | | |
|
| train_agg | | | 97.10 349 | 96.45 384 | 99.07 136 | 98.71 360 | 98.08 159 | 95.96 428 | 99.03 325 | 91.64 496 | 95.85 479 | 97.53 437 | 96.47 259 | 99.76 270 | 93.67 435 | 99.16 383 | 99.36 250 |
|
| gg-mvs-nofinetune | | | 92.37 490 | 91.20 494 | 95.85 472 | 95.80 531 | 92.38 470 | 99.31 30 | 81.84 546 | 99.75 10 | 91.83 530 | 99.74 18 | 68.29 525 | 99.02 488 | 87.15 517 | 97.12 498 | 96.16 512 |
|
| SCA | | | 96.41 390 | 96.66 368 | 95.67 478 | 98.24 428 | 88.35 516 | 95.85 437 | 96.88 469 | 96.11 382 | 97.67 386 | 98.67 315 | 93.10 384 | 99.85 158 | 94.16 418 | 99.22 372 | 98.81 390 |
|
| Patchmatch-test | | | 96.55 379 | 96.34 387 | 97.17 409 | 98.35 416 | 93.06 454 | 98.40 156 | 97.79 431 | 97.33 299 | 98.41 323 | 98.67 315 | 83.68 487 | 99.69 326 | 95.16 392 | 99.31 354 | 98.77 398 |
|
| test_8 | | | | | | 98.67 374 | 98.01 168 | 95.91 434 | 99.02 328 | 91.64 496 | 95.79 482 | 97.50 441 | 96.47 259 | 99.76 270 | | | |
|
| MS-PatchMatch | | | 97.68 300 | 97.75 283 | 97.45 395 | 98.23 431 | 93.78 441 | 97.29 327 | 98.84 363 | 96.10 383 | 98.64 286 | 98.65 321 | 96.04 283 | 99.36 458 | 96.84 287 | 99.14 386 | 99.20 311 |
|
| Patchmatch-RL test | | | 97.26 336 | 97.02 338 | 97.99 335 | 99.52 131 | 95.53 354 | 96.13 417 | 99.71 48 | 97.47 281 | 99.27 152 | 99.16 169 | 84.30 482 | 99.62 375 | 97.89 179 | 99.77 172 | 98.81 390 |
|
| cdsmvs_eth3d_5k | | | 24.66 510 | 32.88 513 | 0.00 530 | 0.00 553 | 0.00 555 | 0.00 541 | 99.10 310 | 0.00 548 | 0.00 549 | 97.58 434 | 99.21 18 | 0.00 549 | 0.00 547 | 0.00 547 | 0.00 545 |
|
| pcd_1.5k_mvsjas | | | 8.17 513 | 10.90 516 | 0.00 530 | 0.00 553 | 0.00 555 | 0.00 541 | 0.00 554 | 0.00 548 | 0.00 549 | 0.00 548 | 98.07 128 | 0.00 549 | 0.00 547 | 0.00 547 | 0.00 545 |
|
| agg_prior2 | | | | | | | | | | | | | | | 92.50 472 | 99.16 383 | 99.37 242 |
|
| agg_prior | | | | | | 98.68 373 | 97.99 171 | | 99.01 331 | | 95.59 483 | | | 99.77 264 | | | |
|
| tmp_tt | | | 78.77 507 | 78.73 510 | 78.90 525 | 58.45 550 | 74.76 549 | 94.20 496 | 78.26 548 | 39.16 543 | 86.71 539 | 92.82 527 | 80.50 498 | 75.19 545 | 86.16 523 | 92.29 534 | 86.74 539 |
|
| canonicalmvs | | | 98.34 217 | 98.26 224 | 98.58 246 | 98.46 404 | 97.82 199 | 98.96 78 | 99.46 172 | 99.19 89 | 97.46 404 | 95.46 498 | 98.59 67 | 99.46 442 | 98.08 160 | 98.71 428 | 98.46 426 |
|
| 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 | | | 97.35 328 | 96.88 349 | 98.78 202 | 98.54 396 | 98.09 155 | 97.71 264 | 97.69 435 | 99.20 84 | 97.59 392 | 95.90 486 | 88.12 450 | 99.55 408 | 98.18 152 | 98.96 411 | 98.70 408 |
|
| 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 | 95.98 334 | 97.63 278 | 99.36 217 | 97.15 324 | 99.32 143 | 99.18 163 | 95.84 298 | 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 | 96.79 239 | 99.82 207 | 98.69 112 | 99.88 95 | 99.76 58 |
|
| v1921920 | | | 98.54 186 | 98.60 159 | 98.38 285 | 99.20 242 | 95.76 348 | 97.56 290 | 99.36 217 | 97.23 316 | 99.38 121 | 99.17 167 | 96.02 284 | 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 | 98.41 281 | 99.27 218 | 95.88 340 | 97.52 296 | 99.36 217 | 97.41 291 | 99.33 137 | 99.20 156 | 96.37 267 | 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 | 98.41 281 | 99.36 192 | 95.90 338 | 97.58 288 | 99.34 229 | 97.51 277 | 99.27 152 | 99.15 175 | 96.34 269 | 99.80 233 | 99.47 53 | 99.93 57 | 99.51 164 |
|
| sosnet-low-res | | | 0.00 515 | 0.00 518 | 0.00 530 | 0.00 553 | 0.00 555 | 0.00 541 | 0.00 554 | 0.00 548 | 0.00 549 | 0.00 548 | 0.00 552 | 0.00 549 | 0.00 547 | 0.00 547 | 0.00 545 |
|
| HFP-MVS | | | 98.71 142 | 98.44 187 | 99.51 49 | 99.49 148 | 99.16 48 | 98.52 130 | 99.31 242 | 97.47 281 | 98.58 300 | 98.50 349 | 97.97 138 | 99.85 158 | 96.57 317 | 99.59 277 | 99.53 157 |
|
| v148 | | | 98.45 200 | 98.60 159 | 98.00 333 | 99.44 169 | 94.98 387 | 97.44 310 | 99.06 316 | 98.30 194 | 99.32 143 | 98.97 237 | 96.65 251 | 99.62 375 | 98.37 139 | 99.85 109 | 99.39 230 |
|
| sosnet | | | 0.00 515 | 0.00 518 | 0.00 530 | 0.00 553 | 0.00 555 | 0.00 541 | 0.00 554 | 0.00 548 | 0.00 549 | 0.00 548 | 0.00 552 | 0.00 549 | 0.00 547 | 0.00 547 | 0.00 545 |
|
| uncertanet | | | 0.00 515 | 0.00 518 | 0.00 530 | 0.00 553 | 0.00 555 | 0.00 541 | 0.00 554 | 0.00 548 | 0.00 549 | 0.00 548 | 0.00 552 | 0.00 549 | 0.00 547 | 0.00 547 | 0.00 545 |
|
| AllTest | | | 98.44 201 | 98.20 231 | 99.16 118 | 99.50 140 | 98.55 108 | 98.25 172 | 99.58 101 | 96.80 346 | 98.88 242 | 99.06 199 | 97.65 165 | 99.57 401 | 94.45 410 | 99.61 271 | 99.37 242 |
|
| TestCases | | | | | 99.16 118 | 99.50 140 | 98.55 108 | | 99.58 101 | 96.80 346 | 98.88 242 | 99.06 199 | 97.65 165 | 99.57 401 | 94.45 410 | 99.61 271 | 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 | 99.31 242 | 97.46 286 | 98.44 320 | 98.51 345 | 97.83 151 | 99.88 115 | 96.46 330 | 99.58 282 | 99.58 117 |
|
| RRT-MVS | | | 97.88 280 | 97.98 260 | 97.61 376 | 98.15 438 | 93.77 442 | 98.97 77 | 99.64 78 | 99.16 94 | 98.69 276 | 99.42 89 | 91.60 410 | 99.89 97 | 97.63 210 | 98.52 445 | 99.16 331 |
|
| balanced_ft_v1 | | | 98.28 231 | 98.35 206 | 98.10 319 | 98.08 445 | 96.23 323 | 99.23 45 | 99.26 271 | 98.34 188 | 97.46 404 | 99.42 89 | 95.38 316 | 99.88 115 | 98.60 117 | 99.34 347 | 98.17 449 |
|
| 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 | | | 97.08 352 | 97.39 312 | 96.16 459 | 98.56 394 | 92.46 467 | 95.24 461 | 98.85 362 | 97.25 310 | 97.49 402 | 95.99 483 | 98.07 128 | 99.90 81 | 96.37 336 | 98.67 434 | 96.12 514 |
|
| 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 | 98.87 354 | 99.20 84 | 99.19 174 | 98.99 230 | 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 | 98.86 359 | 99.20 84 | 99.18 179 | 98.97 237 | 97.29 203 | 99.85 158 | 98.72 109 | 99.78 164 | 99.64 86 |
|
| HPM-MVS++ |  | | 98.10 254 | 97.64 297 | 99.48 57 | 99.09 275 | 99.13 60 | 97.52 296 | 98.75 380 | 97.46 286 | 96.90 438 | 97.83 419 | 96.01 285 | 99.84 177 | 95.82 370 | 99.35 345 | 99.46 198 |
|
| test_prior4 | | | | | | | 97.97 175 | 95.86 435 | | | | | | | | | |
|
| XVS | | | 98.72 141 | 98.45 185 | 99.53 38 | 99.46 162 | 99.21 32 | 98.65 114 | 99.34 229 | 98.62 166 | 97.54 397 | 98.63 327 | 97.50 186 | 99.83 195 | 96.79 289 | 99.53 301 | 99.56 130 |
|
| v1240 | | | 98.55 183 | 98.62 154 | 98.32 292 | 99.22 236 | 95.58 352 | 97.51 298 | 99.45 176 | 97.16 322 | 99.45 106 | 99.24 144 | 96.12 281 | 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 | | | | | | | | 95.74 442 | | 96.48 364 | 96.11 472 | 97.63 432 | 95.92 296 | | 94.16 418 | 99.20 377 | |
|
| X-MVStestdata | | | 94.32 454 | 92.59 476 | 99.53 38 | 99.46 162 | 99.21 32 | 98.65 114 | 99.34 229 | 98.62 166 | 97.54 397 | 45.85 543 | 97.50 186 | 99.83 195 | 96.79 289 | 99.53 301 | 99.56 130 |
|
| test_prior | | | | | 98.95 164 | 98.69 369 | 97.95 179 | | 99.03 325 | | | | | 99.59 392 | | | 99.30 280 |
|
| 旧先验2 | | | | | | | | 95.76 441 | | 88.56 524 | 97.52 399 | | | 99.66 356 | 94.48 408 | | |
|
| 新几何2 | | | | | | | | 95.93 431 | | | | | | | | | |
|
| 新几何1 | | | | | 98.91 173 | 98.94 312 | 97.76 206 | | 98.76 376 | 87.58 528 | 96.75 447 | 98.10 396 | 94.80 335 | 99.78 258 | 92.73 466 | 99.00 404 | 99.20 311 |
|
| 旧先验1 | | | | | | 98.82 340 | 97.45 234 | | 98.76 376 | | | 98.34 368 | 95.50 311 | | | 99.01 403 | 99.23 301 |
|
| 无先验 | | | | | | | | 95.74 442 | 98.74 382 | 89.38 517 | | | | 99.73 296 | 92.38 475 | | 99.22 306 |
|
| 原ACMM2 | | | | | | | | 95.53 448 | | | | | | | | | |
|
| 原ACMM1 | | | | | 98.35 290 | 98.90 322 | 96.25 322 | | 98.83 367 | 92.48 489 | 96.07 474 | 98.10 396 | 95.39 315 | 99.71 308 | 92.61 469 | 98.99 406 | 99.08 339 |
|
| test222 | | | | | | 98.92 318 | 96.93 285 | 95.54 447 | 98.78 373 | 85.72 531 | 96.86 442 | 98.11 395 | 94.43 346 | | | 99.10 393 | 99.23 301 |
|
| testdata2 | | | | | | | | | | | | | | 99.79 246 | 92.80 463 | | |
|
| segment_acmp | | | | | | | | | | | | | 97.02 221 | | | | |
|
| testdata | | | | | 98.09 321 | 98.93 314 | 95.40 366 | | 98.80 370 | 90.08 513 | 97.45 407 | 98.37 364 | 95.26 318 | 99.70 316 | 93.58 439 | 98.95 412 | 99.17 325 |
|
| testdata1 | | | | | | | | 95.44 453 | | 96.32 371 | | | | | | | |
|
| 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 | 96.93 228 | 99.81 224 | 99.60 37 | 99.98 12 | 99.60 102 |
|
| 1314 | | | 95.74 421 | 95.60 410 | 96.17 457 | 97.53 480 | 92.75 463 | 98.07 200 | 98.31 414 | 91.22 503 | 94.25 509 | 96.68 468 | 95.53 308 | 99.03 486 | 91.64 486 | 97.18 497 | 96.74 503 |
|
| LFMVS | | | 97.20 343 | 96.72 361 | 98.64 232 | 98.72 356 | 96.95 283 | 98.93 82 | 94.14 516 | 99.74 12 | 98.78 262 | 99.01 224 | 84.45 479 | 99.73 296 | 97.44 231 | 99.27 362 | 99.25 295 |
|
| VDD-MVS | | | 98.56 179 | 98.39 195 | 99.07 136 | 99.13 267 | 98.07 162 | 98.59 122 | 97.01 460 | 99.59 36 | 99.11 184 | 99.27 131 | 94.82 332 | 99.79 246 | 98.34 141 | 99.63 262 | 99.34 260 |
|
| VDDNet | | | 98.21 242 | 97.95 264 | 99.01 151 | 99.58 94 | 97.74 208 | 99.01 71 | 97.29 451 | 99.67 20 | 98.97 216 | 99.50 68 | 90.45 427 | 99.80 233 | 97.88 182 | 99.20 377 | 99.48 187 |
|
| v10 | | | 98.97 99 | 99.11 74 | 98.55 256 | 99.44 169 | 96.21 325 | 98.90 84 | 99.55 124 | 98.73 151 | 99.48 96 | 99.60 45 | 96.63 253 | 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 | 99.35 223 | 99.47 47 | 99.28 150 | 99.05 206 | 96.72 246 | 99.82 207 | 98.09 159 | 99.36 342 | 99.59 109 |
|
| MVS | | | 93.19 477 | 92.09 483 | 96.50 440 | 96.91 505 | 94.03 425 | 98.07 200 | 98.06 427 | 68.01 541 | 94.56 507 | 96.48 473 | 95.96 293 | 99.30 469 | 83.84 527 | 96.89 503 | 96.17 511 |
|
| v2v482 | | | 98.56 179 | 98.62 154 | 98.37 288 | 99.42 176 | 95.81 345 | 97.58 288 | 99.16 299 | 97.90 239 | 99.28 150 | 99.01 224 | 95.98 291 | 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 | 99.19 288 | 97.87 241 | 99.25 164 | 99.16 169 | 96.84 232 | 99.78 258 | 99.21 70 | 99.84 114 | 99.46 198 |
|
| SD-MVS | | | 98.40 206 | 98.68 141 | 97.54 386 | 98.96 310 | 97.99 171 | 97.88 236 | 99.36 217 | 98.20 209 | 99.63 66 | 99.04 208 | 98.76 46 | 95.33 538 | 96.56 321 | 99.74 195 | 99.31 276 |
| 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 | | | 95.86 417 | 95.32 427 | 97.49 391 | 98.60 386 | 94.15 418 | 93.83 508 | 97.93 429 | 95.49 415 | 96.68 451 | 97.42 448 | 83.21 489 | 99.30 469 | 96.22 347 | 98.55 443 | 99.01 352 |
|
| MSLP-MVS++ | | | 98.02 263 | 98.14 244 | 97.64 373 | 98.58 391 | 95.19 380 | 97.48 302 | 99.23 280 | 97.47 281 | 97.90 368 | 98.62 330 | 97.04 218 | 98.81 498 | 97.55 218 | 99.41 335 | 98.94 369 |
|
| APDe-MVS |  | | 98.99 94 | 98.79 124 | 99.60 16 | 99.21 238 | 99.15 52 | 98.87 89 | 99.48 157 | 97.57 269 | 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 | 99.33 235 | 98.64 161 | 99.03 204 | 98.98 235 | 97.89 147 | 99.85 158 | 96.54 325 | 99.42 334 | 99.46 198 |
|
| ADS-MVSNet2 | | | 95.43 434 | 94.98 438 | 96.76 433 | 98.14 439 | 91.74 477 | 97.92 231 | 97.76 432 | 90.23 509 | 96.51 463 | 98.91 253 | 85.61 468 | 99.85 158 | 92.88 459 | 96.90 501 | 98.69 409 |
|
| EI-MVSNet | | | 98.40 206 | 98.51 171 | 98.04 330 | 99.10 272 | 94.73 400 | 97.20 338 | 98.87 354 | 98.97 127 | 99.06 191 | 99.02 212 | 96.00 286 | 99.80 233 | 98.58 119 | 99.82 133 | 99.60 102 |
|
| Regformer | | | 0.00 515 | 0.00 518 | 0.00 530 | 0.00 553 | 0.00 555 | 0.00 541 | 0.00 554 | 0.00 548 | 0.00 549 | 0.00 548 | 0.00 552 | 0.00 549 | 0.00 547 | 0.00 547 | 0.00 545 |
|
| CVMVSNet | | | 96.25 399 | 97.21 326 | 93.38 516 | 99.10 272 | 80.56 546 | 97.20 338 | 98.19 422 | 96.94 334 | 99.00 207 | 99.02 212 | 89.50 437 | 99.80 233 | 96.36 338 | 99.59 277 | 99.78 50 |
|
| pmmvs4 | | | 97.58 308 | 97.28 319 | 98.51 266 | 98.84 335 | 96.93 285 | 95.40 455 | 98.52 403 | 93.60 470 | 98.61 293 | 98.65 321 | 95.10 324 | 99.60 387 | 96.97 273 | 99.79 159 | 98.99 356 |
|
| EU-MVSNet | | | 97.66 302 | 98.50 174 | 95.13 492 | 99.63 83 | 85.84 526 | 98.35 161 | 98.21 419 | 98.23 201 | 99.54 79 | 99.46 80 | 95.02 326 | 99.68 338 | 98.24 146 | 99.87 100 | 99.87 22 |
|
| VNet | | | 98.42 202 | 98.30 215 | 98.79 199 | 98.79 349 | 97.29 251 | 98.23 173 | 98.66 388 | 99.31 69 | 98.85 249 | 98.80 284 | 94.80 335 | 99.78 258 | 98.13 155 | 99.13 388 | 99.31 276 |
|
| test-LLR | | | 93.90 464 | 93.85 458 | 94.04 505 | 96.53 515 | 84.62 532 | 94.05 502 | 92.39 525 | 96.17 377 | 94.12 511 | 95.07 503 | 82.30 494 | 99.67 343 | 95.87 366 | 98.18 458 | 97.82 467 |
|
| TESTMET0.1,1 | | | 92.19 493 | 91.77 491 | 93.46 512 | 96.48 520 | 82.80 541 | 94.05 502 | 91.52 533 | 94.45 451 | 94.00 515 | 94.88 509 | 66.65 530 | 99.56 404 | 95.78 371 | 98.11 464 | 98.02 457 |
|
| test-mter | | | 92.33 491 | 91.76 492 | 94.04 505 | 96.53 515 | 84.62 532 | 94.05 502 | 92.39 525 | 94.00 466 | 94.12 511 | 95.07 503 | 65.63 536 | 99.67 343 | 95.87 366 | 98.18 458 | 97.82 467 |
|
| 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 | 99.31 242 | 97.47 281 | 98.56 304 | 98.54 340 | 97.75 159 | 99.88 115 | 96.57 317 | 99.59 277 | 99.58 117 |
|
| testgi | | | 98.32 222 | 98.39 195 | 98.13 316 | 99.57 103 | 95.54 353 | 97.78 250 | 99.49 155 | 97.37 296 | 99.19 174 | 97.65 430 | 98.96 30 | 99.49 431 | 96.50 328 | 98.99 406 | 99.34 260 |
|
| test20.03 | | | 98.78 133 | 98.77 127 | 98.78 202 | 99.46 162 | 97.20 262 | 97.78 250 | 99.24 278 | 99.04 119 | 99.41 114 | 98.90 256 | 97.65 165 | 99.76 270 | 97.70 205 | 99.79 159 | 99.39 230 |
|
| thres600view7 | | | 94.45 452 | 93.83 459 | 96.29 448 | 99.06 284 | 91.53 481 | 97.99 221 | 94.24 514 | 98.34 188 | 97.44 408 | 95.01 505 | 79.84 500 | 99.67 343 | 84.33 526 | 98.23 455 | 97.66 479 |
|
| ADS-MVSNet | | | 95.24 439 | 94.93 441 | 96.18 456 | 98.14 439 | 90.10 506 | 97.92 231 | 97.32 450 | 90.23 509 | 96.51 463 | 98.91 253 | 85.61 468 | 99.74 289 | 92.88 459 | 96.90 501 | 98.69 409 |
|
| MP-MVS |  | | 98.46 198 | 98.09 247 | 99.54 31 | 99.57 103 | 99.22 31 | 98.50 137 | 99.19 288 | 97.61 265 | 97.58 393 | 98.66 319 | 97.40 195 | 99.88 115 | 94.72 403 | 99.60 273 | 99.54 143 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| testmvs | | | 17.12 511 | 20.53 514 | 6.87 529 | 12.05 551 | 4.20 554 | 93.62 512 | 6.73 552 | 4.62 547 | 10.41 547 | 24.33 544 | 8.28 551 | 3.56 548 | 9.69 546 | 15.07 545 | 12.86 544 |
|
| thres400 | | | 94.14 460 | 93.44 464 | 96.24 451 | 98.93 314 | 91.44 484 | 97.60 285 | 94.29 511 | 97.94 235 | 97.10 422 | 94.31 515 | 79.67 502 | 99.62 375 | 83.05 529 | 98.08 466 | 97.66 479 |
|
| test123 | | | 17.04 512 | 20.11 515 | 7.82 528 | 10.25 552 | 4.91 553 | 94.80 473 | 4.47 553 | 4.93 546 | 10.00 548 | 24.28 545 | 9.69 550 | 3.64 547 | 10.14 545 | 12.43 546 | 14.92 543 |
|
| thres200 | | | 93.72 468 | 93.14 470 | 95.46 486 | 98.66 379 | 91.29 488 | 96.61 381 | 94.63 506 | 97.39 294 | 96.83 443 | 93.71 518 | 79.88 499 | 99.56 404 | 82.40 532 | 98.13 463 | 95.54 518 |
|
| test0.0.03 1 | | | 94.51 451 | 93.69 461 | 96.99 418 | 96.05 526 | 93.61 449 | 94.97 469 | 93.49 520 | 96.17 377 | 97.57 395 | 94.88 509 | 82.30 494 | 99.01 490 | 93.60 438 | 94.17 530 | 98.37 441 |
|
| pmmvs3 | | | 95.03 444 | 94.40 452 | 96.93 422 | 97.70 469 | 92.53 466 | 95.08 466 | 97.71 434 | 88.57 523 | 97.71 383 | 98.08 399 | 79.39 504 | 99.82 207 | 96.19 349 | 99.11 392 | 98.43 434 |
|
| EMVS | | | 93.83 465 | 94.02 456 | 93.23 517 | 96.83 508 | 84.96 529 | 89.77 534 | 96.32 481 | 97.92 237 | 97.43 409 | 96.36 478 | 86.17 460 | 98.93 493 | 87.68 516 | 97.73 478 | 95.81 516 |
|
| E-PMN | | | 94.17 459 | 94.37 453 | 93.58 511 | 96.86 506 | 85.71 528 | 90.11 533 | 97.07 459 | 98.17 213 | 97.82 378 | 97.19 457 | 84.62 478 | 98.94 492 | 89.77 508 | 97.68 479 | 96.09 515 |
|
| PGM-MVS | | | 98.66 161 | 98.37 201 | 99.55 28 | 99.53 127 | 99.18 42 | 98.23 173 | 99.49 155 | 97.01 331 | 98.69 276 | 98.88 264 | 98.00 134 | 99.89 97 | 95.87 366 | 99.59 277 | 99.58 117 |
|
| LCM-MVSNet-Re | | | 98.64 164 | 98.48 180 | 99.11 126 | 98.85 334 | 98.51 113 | 98.49 140 | 99.83 26 | 98.37 185 | 99.69 55 | 99.46 80 | 98.21 115 | 99.92 65 | 94.13 422 | 99.30 358 | 98.91 374 |
|
| 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 | | | 98.00 266 | 97.63 299 | 99.10 128 | 99.24 230 | 98.17 145 | 96.89 360 | 98.73 383 | 95.66 406 | 97.92 366 | 97.70 428 | 97.17 211 | 99.66 356 | 96.18 351 | 99.23 371 | 99.47 195 |
|
| mvs_anonymous | | | 97.83 291 | 98.16 241 | 96.87 426 | 98.18 434 | 91.89 476 | 97.31 325 | 98.90 348 | 97.37 296 | 98.83 253 | 99.46 80 | 96.28 272 | 99.79 246 | 98.90 94 | 98.16 461 | 98.95 365 |
|
| MVS_Test | | | 98.18 247 | 98.36 203 | 97.67 366 | 98.48 401 | 94.73 400 | 98.18 179 | 99.02 328 | 97.69 256 | 98.04 358 | 99.11 187 | 97.22 208 | 99.56 404 | 98.57 121 | 98.90 416 | 98.71 405 |
|
| MDA-MVSNet-bldmvs | | | 97.94 273 | 97.91 272 | 98.06 327 | 99.44 169 | 94.96 388 | 96.63 379 | 99.15 304 | 98.35 187 | 98.83 253 | 99.11 187 | 94.31 354 | 99.85 158 | 96.60 314 | 98.72 426 | 99.37 242 |
|
| CDPH-MVS | | | 97.26 336 | 96.66 368 | 99.07 136 | 99.00 303 | 98.15 146 | 96.03 423 | 99.01 331 | 91.21 504 | 97.79 379 | 97.85 417 | 96.89 230 | 99.69 326 | 92.75 465 | 99.38 341 | 99.39 230 |
|
| test12 | | | | | 98.93 168 | 98.58 391 | 97.83 194 | | 98.66 388 | | 96.53 459 | | 95.51 310 | 99.69 326 | | 99.13 388 | 99.27 288 |
|
| 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 |  | | 98.22 239 | 98.24 228 | 98.17 311 | 99.00 303 | 95.44 364 | 96.38 398 | 99.58 101 | 97.79 249 | 98.53 309 | 98.50 349 | 96.76 242 | 99.74 289 | 97.95 177 | 99.64 256 | 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 | | | 93.73 467 | 92.83 474 | 96.42 443 | 97.70 469 | 91.28 489 | 96.84 362 | 89.77 537 | 93.96 467 | 92.44 527 | 95.93 485 | 79.14 505 | 99.77 264 | 92.94 456 | 96.76 505 | 98.21 446 |
|
| baseline1 | | | 95.96 414 | 95.44 419 | 97.52 388 | 98.51 400 | 93.99 432 | 98.39 157 | 96.09 487 | 98.21 205 | 98.40 328 | 97.76 424 | 86.88 454 | 99.63 371 | 95.42 385 | 89.27 536 | 98.95 365 |
|
| YYNet1 | | | 97.60 305 | 97.67 292 | 97.39 399 | 99.04 289 | 93.04 457 | 95.27 459 | 98.38 412 | 97.25 310 | 98.92 233 | 98.95 245 | 95.48 312 | 99.73 296 | 96.99 269 | 98.74 424 | 99.41 220 |
|
| PMMVS2 | | | 98.07 259 | 98.08 250 | 98.04 330 | 99.41 179 | 94.59 406 | 94.59 484 | 99.40 205 | 97.50 278 | 98.82 256 | 98.83 277 | 96.83 234 | 99.84 177 | 97.50 224 | 99.81 140 | 99.71 65 |
|
| MDA-MVSNet_test_wron | | | 97.60 305 | 97.66 295 | 97.41 398 | 99.04 289 | 93.09 453 | 95.27 459 | 98.42 409 | 97.26 309 | 98.88 242 | 98.95 245 | 95.43 314 | 99.73 296 | 97.02 265 | 98.72 426 | 99.41 220 |
|
| tpmvs | | | 95.02 445 | 95.25 430 | 94.33 500 | 96.39 523 | 85.87 525 | 98.08 196 | 96.83 471 | 95.46 417 | 95.51 491 | 98.69 311 | 85.91 466 | 99.53 416 | 94.16 418 | 96.23 511 | 97.58 482 |
|
| PM-MVS | | | 98.82 125 | 98.72 132 | 99.12 124 | 99.64 77 | 98.54 111 | 97.98 222 | 99.68 63 | 97.62 262 | 99.34 134 | 99.18 163 | 97.54 180 | 99.77 264 | 97.79 191 | 99.74 195 | 99.04 347 |
|
| HQP_MVS | | | 97.99 269 | 97.67 292 | 98.93 168 | 99.19 246 | 97.65 217 | 97.77 253 | 99.27 265 | 98.20 209 | 97.79 379 | 97.98 407 | 94.90 328 | 99.70 316 | 94.42 412 | 99.51 307 | 99.45 204 |
|
| plane_prior7 | | | | | | 99.19 246 | 97.87 190 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 98.99 306 | 97.70 213 | | | | | | 94.90 328 | | | | |
|
| plane_prior5 | | | | | | | | | 99.27 265 | | | | | 99.70 316 | 94.42 412 | 99.51 307 | 99.45 204 |
|
| plane_prior4 | | | | | | | | | | | | 97.98 407 | | | | | |
|
| plane_prior3 | | | | | | | 97.78 204 | | | 97.41 291 | 97.79 379 | | | | | | |
|
| plane_prior2 | | | | | | | | 97.77 253 | | 98.20 209 | | | | | | | |
|
| plane_prior1 | | | | | | 99.05 287 | | | | | | | | | | | |
|
| plane_prior | | | | | | | 97.65 217 | 97.07 346 | | 96.72 351 | | | | | | 99.36 342 | |
|
| 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 | 99.40 205 | 99.14 98 | 99.06 191 | 98.59 335 | 96.71 247 | 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 | 99.62 266 | 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 | 99.25 273 | 98.84 148 | 99.06 191 | 98.76 295 | 96.76 242 | 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 | 99.38 209 | 98.93 132 | 99.12 183 | 98.73 298 | 96.77 240 | 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 | 99.34 229 | 99.42 55 | 99.33 137 | 99.26 137 | 97.01 223 | 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 | 98.19 235 | 99.03 146 | 99.00 303 | 97.65 217 | 96.85 361 | 98.94 338 | 98.57 174 | 98.89 238 | 98.50 349 | 95.60 306 | 99.85 158 | 97.54 220 | 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 | 99.20 284 | 99.10 107 | 99.72 47 | 98.76 295 | 96.38 266 | 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 | 96.76 242 | 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. | | | 98.18 247 | 97.98 260 | 98.77 207 | 98.71 360 | 97.88 189 | 96.32 403 | 98.66 388 | 96.33 370 | 99.23 168 | 98.51 345 | 97.48 190 | 99.40 453 | 97.16 252 | 99.46 321 | 99.02 350 |
|
| n2 | | | | | | | | | 0.00 554 | | | | | | | | |
|
| nn | | | | | | | | | 0.00 554 | | | | | | | | |
|
| mPP-MVS | | | 98.64 164 | 98.34 207 | 99.54 31 | 99.54 123 | 99.17 43 | 98.63 116 | 99.24 278 | 97.47 281 | 98.09 352 | 98.68 313 | 97.62 170 | 99.89 97 | 96.22 347 | 99.62 266 | 99.57 124 |
|
| door-mid | | | | | | | | | 99.57 109 | | | | | | | | |
|
| XVG-OURS-SEG-HR | | | 98.49 195 | 98.28 218 | 99.14 122 | 99.49 148 | 98.83 86 | 96.54 385 | 99.48 157 | 97.32 301 | 99.11 184 | 98.61 332 | 99.33 15 | 99.30 469 | 96.23 346 | 98.38 448 | 99.28 285 |
|
| mvsmamba | | | 97.57 309 | 97.26 321 | 98.51 266 | 98.69 369 | 96.73 299 | 98.74 99 | 97.25 452 | 97.03 330 | 97.88 370 | 99.23 150 | 90.95 421 | 99.87 135 | 96.61 313 | 99.00 404 | 98.91 374 |
|
| MVSFormer | | | 98.26 234 | 98.43 188 | 97.77 352 | 98.88 328 | 93.89 438 | 99.39 20 | 99.56 119 | 99.11 100 | 98.16 344 | 98.13 392 | 93.81 368 | 99.97 6 | 99.26 65 | 99.57 286 | 99.43 212 |
|
| jason | | | 97.45 318 | 97.35 316 | 97.76 355 | 99.24 230 | 93.93 434 | 95.86 435 | 98.42 409 | 94.24 455 | 98.50 312 | 98.13 392 | 94.82 332 | 99.91 74 | 97.22 247 | 99.73 199 | 99.43 212 |
| jason: jason. |
| lupinMVS | | | 97.06 354 | 96.86 350 | 97.65 370 | 98.88 328 | 93.89 438 | 95.48 451 | 97.97 428 | 93.53 471 | 98.16 344 | 97.58 434 | 93.81 368 | 99.91 74 | 96.77 292 | 99.57 286 | 99.17 325 |
|
| 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 | 97.33 299 | 98.94 230 | 98.86 267 | 98.75 47 | 99.82 207 | 97.53 221 | 99.71 217 | 99.56 130 |
|
| K. test v3 | | | 98.00 266 | 97.66 295 | 99.03 146 | 99.79 23 | 97.56 223 | 99.19 53 | 92.47 524 | 99.62 32 | 99.52 87 | 99.66 32 | 89.61 435 | 99.96 13 | 99.25 67 | 99.81 140 | 99.56 130 |
|
| lessismore_v0 | | | | | 98.97 160 | 99.73 38 | 97.53 226 | | 86.71 542 | | 99.37 125 | 99.52 67 | 89.93 430 | 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 | 98.20 420 | 99.37 60 | 99.70 51 | 99.65 36 | 92.65 395 | 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 | 96.39 264 | 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 | 96.74 350 | 98.61 293 | 98.38 363 | 98.62 64 | 99.87 135 | 96.47 329 | 99.67 244 | 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 | 98.34 207 | 99.11 126 | 99.50 140 | 98.82 88 | 95.97 426 | 99.50 147 | 97.30 304 | 99.05 199 | 98.98 235 | 99.35 14 | 99.32 466 | 95.72 373 | 99.68 238 | 99.18 321 |
|
| XVG-ACMP-BASELINE | | | 98.56 179 | 98.34 207 | 99.22 109 | 99.54 123 | 98.59 105 | 97.71 264 | 99.46 172 | 97.25 310 | 98.98 212 | 98.99 230 | 97.54 180 | 99.84 177 | 95.88 363 | 99.74 195 | 99.23 301 |
|
| 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 | 96.60 357 | 99.10 187 | 99.06 199 | 98.71 51 | 99.83 195 | 95.58 382 | 99.78 164 | 99.62 92 |
|
| LGP-MVS_train | | | | | 99.47 61 | 99.57 103 | 98.97 73 | | 99.48 157 | 96.60 357 | 99.10 187 | 99.06 199 | 98.71 51 | 99.83 195 | 95.58 382 | 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 | | | | | | | | | 98.87 354 | | | | | | | | |
|
| door | | | | | | | | | 99.41 200 | | | | | | | | |
|
| EPNet_dtu | | | 94.93 447 | 94.78 443 | 95.38 488 | 93.58 537 | 87.68 520 | 96.78 365 | 95.69 497 | 97.35 298 | 89.14 537 | 98.09 398 | 88.15 449 | 99.49 431 | 94.95 397 | 99.30 358 | 98.98 357 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| CHOSEN 1792x2688 | | | 97.49 314 | 97.14 331 | 98.54 261 | 99.68 64 | 96.09 329 | 96.50 389 | 99.62 87 | 91.58 498 | 98.84 251 | 98.97 237 | 92.36 398 | 99.88 115 | 96.76 293 | 99.95 39 | 99.67 78 |
|
| EPNet | | | 96.14 403 | 95.44 419 | 98.25 301 | 90.76 546 | 95.50 359 | 97.92 231 | 94.65 505 | 98.97 127 | 92.98 522 | 98.85 270 | 89.12 439 | 99.87 135 | 95.99 359 | 99.68 238 | 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 | | | | | | 98.67 374 | | 96.29 405 | | 96.05 384 | 95.55 486 | | | | | | |
|
| ACMP_Plane | | | | | | 98.67 374 | | 96.29 405 | | 96.05 384 | 95.55 486 | | | | | | |
|
| APD-MVS |  | | 98.10 254 | 97.67 292 | 99.42 67 | 99.11 270 | 98.93 79 | 97.76 256 | 99.28 262 | 94.97 434 | 98.72 272 | 98.77 290 | 97.04 218 | 99.85 158 | 93.79 432 | 99.54 297 | 99.49 176 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| BP-MVS | | | | | | | | | | | | | | | 92.82 461 | | |
|
| HQP4-MVS | | | | | | | | | | | 95.56 485 | | | 99.54 414 | | | 99.32 271 |
|
| HQP3-MVS | | | | | | | | | 99.04 323 | | | | | | | 99.26 366 | |
|
| HQP2-MVS | | | | | | | | | | | | | 93.84 366 | | | | |
|
| CNVR-MVS | | | 98.17 250 | 97.87 275 | 99.07 136 | 98.67 374 | 98.24 137 | 97.01 348 | 98.93 341 | 97.25 310 | 97.62 389 | 98.34 368 | 97.27 204 | 99.57 401 | 96.42 333 | 99.33 349 | 99.39 230 |
|
| NCCC | | | 97.86 283 | 97.47 310 | 99.05 143 | 98.61 384 | 98.07 162 | 96.98 351 | 98.90 348 | 97.63 261 | 97.04 428 | 97.93 412 | 95.99 290 | 99.66 356 | 95.31 387 | 98.82 420 | 99.43 212 |
|
| 114514_t | | | 96.50 382 | 95.77 402 | 98.69 223 | 99.48 156 | 97.43 237 | 97.84 243 | 99.55 124 | 81.42 537 | 96.51 463 | 98.58 336 | 95.53 308 | 99.67 343 | 93.41 446 | 99.58 282 | 98.98 357 |
|
| CP-MVS | | | 98.70 147 | 98.42 190 | 99.52 44 | 99.36 192 | 99.12 62 | 98.72 104 | 99.36 217 | 97.54 275 | 98.30 332 | 98.40 360 | 97.86 150 | 99.89 97 | 96.53 326 | 99.72 208 | 99.56 130 |
|
| DSMNet-mixed | | | 97.42 321 | 97.60 301 | 96.87 426 | 99.15 262 | 91.46 482 | 98.54 128 | 99.12 307 | 92.87 485 | 97.58 393 | 99.63 39 | 96.21 275 | 99.90 81 | 95.74 372 | 99.54 297 | 99.27 288 |
|
| tpm2 | | | 93.09 478 | 92.58 477 | 94.62 498 | 97.56 476 | 86.53 524 | 97.66 272 | 95.79 494 | 86.15 530 | 94.07 513 | 98.23 385 | 75.95 514 | 99.53 416 | 90.91 500 | 96.86 504 | 97.81 469 |
|
| NP-MVS | | | | | | 98.84 335 | 97.39 239 | | | | | 96.84 464 | | | | | |
|
| EG-PatchMatch MVS | | | 98.99 94 | 99.01 92 | 98.94 165 | 99.50 140 | 97.47 231 | 98.04 205 | 99.59 98 | 98.15 221 | 99.40 117 | 99.36 110 | 98.58 72 | 99.76 270 | 98.78 102 | 99.68 238 | 99.59 109 |
|
| tpm cat1 | | | 93.29 475 | 93.13 471 | 93.75 509 | 97.39 489 | 84.74 530 | 97.39 313 | 97.65 438 | 83.39 535 | 94.16 510 | 98.41 359 | 82.86 492 | 99.39 455 | 91.56 488 | 95.35 525 | 97.14 495 |
|
| SteuartSystems-ACMMP | | | 98.79 131 | 98.54 167 | 99.54 31 | 99.73 38 | 99.16 48 | 98.23 173 | 99.31 242 | 97.92 237 | 98.90 235 | 98.90 256 | 98.00 134 | 99.88 115 | 96.15 352 | 99.72 208 | 99.58 117 |
| Skip Steuart: Steuart Systems R&D Blog. |
| CostFormer | | | 93.97 463 | 93.78 460 | 94.51 499 | 97.53 480 | 85.83 527 | 97.98 222 | 95.96 489 | 89.29 518 | 94.99 499 | 98.63 327 | 78.63 509 | 99.62 375 | 94.54 406 | 96.50 507 | 98.09 454 |
|
| CR-MVSNet | | | 96.28 396 | 95.95 398 | 97.28 402 | 97.71 467 | 94.22 413 | 98.11 191 | 98.92 345 | 92.31 491 | 96.91 435 | 99.37 104 | 85.44 471 | 99.81 224 | 97.39 234 | 97.36 493 | 97.81 469 |
|
| JIA-IIPM | | | 95.52 429 | 95.03 437 | 97.00 417 | 96.85 507 | 94.03 425 | 96.93 356 | 95.82 492 | 99.20 84 | 94.63 506 | 99.71 22 | 83.09 490 | 99.60 387 | 94.42 412 | 94.64 527 | 97.36 490 |
|
| Patchmtry | | | 97.35 328 | 96.97 341 | 98.50 270 | 97.31 492 | 96.47 314 | 98.18 179 | 98.92 345 | 98.95 131 | 98.78 262 | 99.37 104 | 85.44 471 | 99.85 158 | 95.96 361 | 99.83 126 | 99.17 325 |
|
| PatchT | | | 96.65 374 | 96.35 386 | 97.54 386 | 97.40 488 | 95.32 372 | 97.98 222 | 96.64 475 | 99.33 66 | 96.89 439 | 99.42 89 | 84.32 481 | 99.81 224 | 97.69 207 | 97.49 484 | 97.48 485 |
|
| tpmrst | | | 95.07 443 | 95.46 417 | 93.91 507 | 97.11 496 | 84.36 534 | 97.62 279 | 96.96 464 | 94.98 433 | 96.35 468 | 98.80 284 | 85.46 470 | 99.59 392 | 95.60 380 | 96.23 511 | 97.79 472 |
|
| BH-w/o | | | 95.13 442 | 94.89 442 | 95.86 471 | 98.20 432 | 91.31 487 | 95.65 444 | 97.37 444 | 93.64 469 | 96.52 462 | 95.70 491 | 93.04 387 | 99.02 488 | 88.10 515 | 95.82 521 | 97.24 494 |
|
| tpm | | | 94.67 449 | 94.34 454 | 95.66 479 | 97.68 472 | 88.42 515 | 97.88 236 | 94.90 503 | 94.46 448 | 96.03 478 | 98.56 339 | 78.66 508 | 99.79 246 | 95.88 363 | 95.01 526 | 98.78 397 |
|
| DELS-MVS | | | 98.27 232 | 98.20 231 | 98.48 272 | 98.86 331 | 96.70 300 | 95.60 446 | 99.20 284 | 97.73 253 | 98.45 319 | 98.71 302 | 97.50 186 | 99.82 207 | 98.21 150 | 99.59 277 | 98.93 370 |
| 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 | | | 96.83 367 | 96.75 360 | 97.08 413 | 98.74 353 | 93.33 451 | 96.71 371 | 98.26 416 | 96.72 351 | 98.44 320 | 97.37 451 | 95.20 319 | 99.47 438 | 91.89 480 | 97.43 488 | 98.44 432 |
|
| RPMNet | | | 97.02 357 | 96.93 343 | 97.30 401 | 97.71 467 | 94.22 413 | 98.11 191 | 99.30 250 | 99.37 60 | 96.91 435 | 99.34 115 | 86.72 455 | 99.87 135 | 97.53 221 | 97.36 493 | 97.81 469 |
|
| MVSTER | | | 96.86 366 | 96.55 377 | 97.79 350 | 97.91 454 | 94.21 415 | 97.56 290 | 98.87 354 | 97.49 280 | 99.06 191 | 99.05 206 | 80.72 497 | 99.80 233 | 98.44 131 | 99.82 133 | 99.37 242 |
|
| CPTT-MVS | | | 97.84 289 | 97.36 315 | 99.27 99 | 99.31 206 | 98.46 116 | 98.29 166 | 99.27 265 | 94.90 436 | 97.83 376 | 98.37 364 | 94.90 328 | 99.84 177 | 93.85 431 | 99.54 297 | 99.51 164 |
|
| GBi-Net | | | 98.65 162 | 98.47 182 | 99.17 115 | 98.90 322 | 98.24 137 | 99.20 49 | 99.44 184 | 98.59 169 | 98.95 222 | 99.55 56 | 94.14 359 | 99.86 144 | 97.77 194 | 99.69 232 | 99.41 220 |
|
| PVSNet_Blended_VisFu | | | 98.17 250 | 98.15 242 | 98.22 307 | 99.73 38 | 95.15 381 | 97.36 320 | 99.68 63 | 94.45 451 | 98.99 211 | 99.27 131 | 96.87 231 | 99.94 41 | 97.13 258 | 99.91 80 | 99.57 124 |
|
| PVSNet_BlendedMVS | | | 97.55 310 | 97.53 304 | 97.60 377 | 98.92 318 | 93.77 442 | 96.64 378 | 99.43 190 | 94.49 446 | 97.62 389 | 99.18 163 | 96.82 235 | 99.67 343 | 94.73 401 | 99.93 57 | 99.36 250 |
|
| UnsupCasMVSNet_eth | | | 97.89 277 | 97.60 301 | 98.75 211 | 99.31 206 | 97.17 268 | 97.62 279 | 99.35 223 | 98.72 157 | 98.76 267 | 98.68 313 | 92.57 396 | 99.74 289 | 97.76 198 | 95.60 523 | 99.34 260 |
|
| UnsupCasMVSNet_bld | | | 97.30 333 | 96.92 345 | 98.45 275 | 99.28 215 | 96.78 297 | 96.20 411 | 99.27 265 | 95.42 419 | 98.28 336 | 98.30 375 | 93.16 381 | 99.71 308 | 94.99 394 | 97.37 491 | 98.87 380 |
|
| PVSNet_Blended | | | 96.88 364 | 96.68 364 | 97.47 394 | 98.92 318 | 93.77 442 | 94.71 475 | 99.43 190 | 90.98 507 | 97.62 389 | 97.36 452 | 96.82 235 | 99.67 343 | 94.73 401 | 99.56 290 | 98.98 357 |
|
| FMVSNet5 | | | 96.01 408 | 95.20 434 | 98.41 281 | 97.53 480 | 96.10 326 | 98.74 99 | 99.50 147 | 97.22 319 | 98.03 359 | 99.04 208 | 69.80 523 | 99.88 115 | 97.27 243 | 99.71 217 | 99.25 295 |
|
| test1 | | | 98.65 162 | 98.47 182 | 99.17 115 | 98.90 322 | 98.24 137 | 99.20 49 | 99.44 184 | 98.59 169 | 98.95 222 | 99.55 56 | 94.14 359 | 99.86 144 | 97.77 194 | 99.69 232 | 99.41 220 |
|
| new_pmnet | | | 96.99 361 | 96.76 358 | 97.67 366 | 98.72 356 | 94.89 392 | 95.95 430 | 98.20 420 | 92.62 488 | 98.55 306 | 98.54 340 | 94.88 331 | 99.52 420 | 93.96 426 | 99.44 330 | 98.59 421 |
|
| FMVSNet3 | | | 97.50 311 | 97.24 323 | 98.29 297 | 98.08 445 | 95.83 343 | 97.86 240 | 98.91 347 | 97.89 240 | 98.95 222 | 98.95 245 | 87.06 453 | 99.81 224 | 97.77 194 | 99.69 232 | 99.23 301 |
|
| dp | | | 93.47 471 | 93.59 463 | 93.13 518 | 96.64 513 | 81.62 545 | 97.66 272 | 96.42 480 | 92.80 486 | 96.11 472 | 98.64 325 | 78.55 511 | 99.59 392 | 93.31 447 | 92.18 535 | 98.16 450 |
|
| FMVSNet2 | | | 98.49 195 | 98.40 192 | 98.75 211 | 98.90 322 | 97.14 271 | 98.61 120 | 99.13 306 | 98.59 169 | 99.19 174 | 99.28 129 | 94.14 359 | 99.82 207 | 97.97 175 | 99.80 152 | 99.29 282 |
|
| 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 | | | 97.63 304 | 97.17 327 | 98.99 154 | 99.27 218 | 97.86 191 | 95.98 425 | 93.41 521 | 95.25 426 | 99.47 100 | 98.90 256 | 95.63 304 | 99.85 158 | 96.91 276 | 99.73 199 | 99.27 288 |
|
| cascas | | | 94.79 448 | 94.33 455 | 96.15 461 | 96.02 528 | 92.36 471 | 92.34 526 | 99.26 271 | 85.34 532 | 95.08 498 | 94.96 508 | 92.96 388 | 98.53 505 | 94.41 415 | 98.59 440 | 97.56 483 |
|
| BH-RMVSNet | | | 96.83 367 | 96.58 376 | 97.58 379 | 98.47 402 | 94.05 422 | 96.67 375 | 97.36 445 | 96.70 354 | 97.87 371 | 97.98 407 | 95.14 323 | 99.44 447 | 90.47 505 | 98.58 441 | 99.25 295 |
|
| UGNet | | | 98.53 188 | 98.45 185 | 98.79 199 | 97.94 452 | 96.96 282 | 99.08 62 | 98.54 400 | 99.10 107 | 96.82 444 | 99.47 78 | 96.55 256 | 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 | | | 96.67 373 | 96.27 392 | 97.87 345 | 98.81 343 | 94.61 405 | 96.77 366 | 97.92 430 | 94.94 435 | 97.12 421 | 97.74 425 | 91.11 420 | 99.82 207 | 93.89 428 | 98.15 462 | 99.18 321 |
|
| 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 | 98.12 349 | 98.37 364 | 98.72 50 | 99.90 81 | 99.05 83 | 99.77 172 | 98.77 398 |
|
| sss | | | 97.21 342 | 96.93 343 | 98.06 327 | 98.83 337 | 95.22 379 | 96.75 368 | 98.48 405 | 94.49 446 | 97.27 416 | 97.90 413 | 92.77 392 | 99.80 233 | 96.57 317 | 99.32 352 | 99.16 331 |
|
| Test_1112_low_res | | | 96.99 361 | 96.55 377 | 98.31 294 | 99.35 197 | 95.47 363 | 95.84 438 | 99.53 134 | 91.51 500 | 96.80 445 | 98.48 352 | 91.36 417 | 99.83 195 | 96.58 315 | 99.53 301 | 99.62 92 |
|
| 1112_ss | | | 97.29 335 | 96.86 350 | 98.58 246 | 99.34 202 | 96.32 320 | 96.75 368 | 99.58 101 | 93.14 477 | 96.89 439 | 97.48 443 | 92.11 406 | 99.86 144 | 96.91 276 | 99.54 297 | 99.57 124 |
|
| ab-mvs-re | | | 8.12 514 | 10.83 517 | 0.00 530 | 0.00 553 | 0.00 555 | 0.00 541 | 0.00 554 | 0.00 548 | 0.00 549 | 97.48 443 | 0.00 552 | 0.00 549 | 0.00 547 | 0.00 547 | 0.00 545 |
|
| ab-mvs | | | 98.41 203 | 98.36 203 | 98.59 245 | 99.19 246 | 97.23 256 | 99.32 26 | 98.81 368 | 97.66 259 | 98.62 291 | 99.40 97 | 96.82 235 | 99.80 233 | 95.88 363 | 99.51 307 | 98.75 401 |
|
| TR-MVS | | | 95.55 428 | 95.12 436 | 96.86 429 | 97.54 478 | 93.94 433 | 96.49 390 | 96.53 478 | 94.36 454 | 97.03 430 | 96.61 470 | 94.26 356 | 99.16 481 | 86.91 520 | 96.31 510 | 97.47 486 |
|
| MDTV_nov1_ep13_2view | | | | | | | 74.92 548 | 97.69 267 | | 90.06 514 | 97.75 382 | | 85.78 467 | | 93.52 441 | | 98.69 409 |
|
| MDTV_nov1_ep13 | | | | 95.22 432 | | 97.06 499 | 83.20 539 | 97.74 261 | 96.16 483 | 94.37 453 | 96.99 431 | 98.83 277 | 83.95 485 | 99.53 416 | 93.90 427 | 97.95 474 | |
|
| 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 | | | 96.62 376 | 96.25 393 | 97.71 362 | 99.04 289 | 94.66 403 | 99.16 55 | 96.92 468 | 97.23 316 | 97.87 371 | 99.10 190 | 86.11 462 | 99.65 363 | 91.65 485 | 99.21 375 | 98.82 385 |
|
| IterMVS-LS | | | 98.55 183 | 98.70 138 | 98.09 321 | 99.48 156 | 94.73 400 | 97.22 337 | 99.39 207 | 98.97 127 | 99.38 121 | 99.31 124 | 96.00 286 | 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 | | | 97.69 299 | 97.35 316 | 98.69 223 | 98.73 354 | 97.02 278 | 96.92 358 | 98.75 380 | 95.89 394 | 98.59 298 | 98.67 315 | 92.08 407 | 99.74 289 | 96.72 299 | 99.81 140 | 99.32 271 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| ACMMP++_ref | | | | | | | | | | | | | | | | 99.77 172 | |
|
| IterMVS | | | 97.73 295 | 98.11 246 | 96.57 438 | 99.24 230 | 90.28 504 | 95.52 450 | 99.21 282 | 98.86 142 | 99.33 137 | 99.33 118 | 93.11 383 | 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 | | | 97.33 330 | 96.92 345 | 98.57 249 | 99.09 275 | 97.99 171 | 96.79 363 | 99.35 223 | 93.18 476 | 97.71 383 | 98.07 400 | 95.00 327 | 99.31 467 | 93.97 425 | 99.13 388 | 98.42 436 |
|
| MVS_111021_LR | | | 98.30 227 | 98.12 245 | 98.83 188 | 99.16 258 | 98.03 167 | 96.09 420 | 99.30 250 | 97.58 268 | 98.10 351 | 98.24 383 | 98.25 107 | 99.34 462 | 96.69 304 | 99.65 254 | 99.12 337 |
|
| DP-MVS | | | 98.93 104 | 98.81 123 | 99.28 96 | 99.21 238 | 98.45 117 | 98.46 145 | 99.33 235 | 99.63 28 | 99.48 96 | 99.15 175 | 97.23 207 | 99.75 282 | 97.17 251 | 99.66 252 | 99.63 91 |
|
| ACMMP++ | | | | | | | | | | | | | | | | 99.68 238 | |
|
| HQP-MVS | | | 97.00 360 | 96.49 380 | 98.55 256 | 98.67 374 | 96.79 294 | 96.29 405 | 99.04 323 | 96.05 384 | 95.55 486 | 96.84 464 | 93.84 366 | 99.54 414 | 92.82 461 | 99.26 366 | 99.32 271 |
|
| QAPM | | | 97.31 331 | 96.81 356 | 98.82 190 | 98.80 346 | 97.49 227 | 99.06 66 | 99.19 288 | 90.22 511 | 97.69 385 | 99.16 169 | 96.91 229 | 99.90 81 | 90.89 501 | 99.41 335 | 99.07 341 |
|
| 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 | | | 94.32 454 | 95.62 408 | 90.42 523 | 98.46 404 | 75.36 547 | 96.29 405 | 89.13 538 | 95.25 426 | 95.38 492 | 99.75 16 | 92.88 389 | 99.19 479 | 94.07 424 | 99.39 338 | 96.72 504 |
|
| IS-MVSNet | | | 98.19 245 | 97.90 273 | 99.08 134 | 99.57 103 | 97.97 175 | 99.31 30 | 98.32 413 | 99.01 123 | 98.98 212 | 99.03 211 | 91.59 411 | 99.79 246 | 95.49 384 | 99.80 152 | 99.48 187 |
|
| HyFIR lowres test | | | 97.19 344 | 96.60 375 | 98.96 162 | 99.62 87 | 97.28 252 | 95.17 463 | 99.50 147 | 94.21 456 | 99.01 206 | 98.32 373 | 86.61 456 | 99.99 2 | 97.10 260 | 99.84 114 | 99.60 102 |
|
| EPMVS | | | 93.72 468 | 93.27 467 | 95.09 494 | 96.04 527 | 87.76 519 | 98.13 186 | 85.01 544 | 94.69 442 | 96.92 433 | 98.64 325 | 78.47 512 | 99.31 467 | 95.04 393 | 96.46 508 | 98.20 447 |
|
| PAPM_NR | | | 96.82 369 | 96.32 388 | 98.30 296 | 99.07 279 | 96.69 301 | 97.48 302 | 98.76 376 | 95.81 401 | 96.61 455 | 96.47 474 | 94.12 362 | 99.17 480 | 90.82 503 | 97.78 476 | 99.06 342 |
|
| TAMVS | | | 98.24 238 | 98.05 253 | 98.80 195 | 99.07 279 | 97.18 266 | 97.88 236 | 98.81 368 | 96.66 356 | 99.17 182 | 99.21 154 | 94.81 334 | 99.77 264 | 96.96 274 | 99.88 95 | 99.44 208 |
|
| PAPR | | | 95.29 437 | 94.47 449 | 97.75 356 | 97.50 486 | 95.14 382 | 94.89 472 | 98.71 385 | 91.39 502 | 95.35 493 | 95.48 497 | 94.57 342 | 99.14 483 | 84.95 525 | 97.37 491 | 98.97 361 |
|
| RPSCF | | | 98.62 169 | 98.36 203 | 99.42 67 | 99.65 71 | 99.42 10 | 98.55 126 | 99.57 109 | 97.72 255 | 98.90 235 | 99.26 137 | 96.12 281 | 99.52 420 | 95.72 373 | 99.71 217 | 99.32 271 |
|
| Vis-MVSNet (Re-imp) | | | 97.46 316 | 97.16 328 | 98.34 291 | 99.55 117 | 96.10 326 | 98.94 81 | 98.44 406 | 98.32 192 | 98.16 344 | 98.62 330 | 88.76 440 | 99.73 296 | 93.88 429 | 99.79 159 | 99.18 321 |
|
| test_0402 | | | 98.76 137 | 98.71 135 | 98.93 168 | 99.56 111 | 98.14 148 | 98.45 147 | 99.34 229 | 99.28 73 | 98.95 222 | 98.91 253 | 98.34 95 | 99.79 246 | 95.63 378 | 99.91 80 | 98.86 381 |
|
| MVS_111021_HR | | | 98.25 237 | 98.08 250 | 98.75 211 | 99.09 275 | 97.46 233 | 95.97 426 | 99.27 265 | 97.60 267 | 97.99 362 | 98.25 381 | 98.15 124 | 99.38 457 | 96.87 284 | 99.57 286 | 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 | 97.87 241 | 98.85 249 | 98.04 402 | 97.66 164 | 99.84 177 | 96.72 299 | 99.81 140 | 99.13 336 |
|
| PatchMatch-RL | | | 97.24 339 | 96.78 357 | 98.61 242 | 99.03 292 | 97.83 194 | 96.36 400 | 99.06 316 | 93.49 473 | 97.36 414 | 97.78 422 | 95.75 300 | 99.49 431 | 93.44 445 | 98.77 422 | 98.52 424 |
|
| API-MVS | | | 97.04 356 | 96.91 348 | 97.42 397 | 97.88 455 | 98.23 141 | 98.18 179 | 98.50 404 | 97.57 269 | 97.39 412 | 96.75 467 | 96.77 240 | 99.15 482 | 90.16 506 | 99.02 401 | 94.88 520 |
|
| Test By Simon | | | | | | | | | | | | | 96.52 257 | | | | |
|
| 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 | | | 97.41 322 | 97.40 311 | 97.44 396 | 98.94 312 | 93.67 445 | 95.17 463 | 99.53 134 | 94.03 464 | 98.97 216 | 99.10 190 | 95.29 317 | 99.34 462 | 95.84 369 | 99.73 199 | 99.30 280 |
|
| EPP-MVSNet | | | 98.30 227 | 98.04 254 | 99.07 136 | 99.56 111 | 97.83 194 | 99.29 36 | 98.07 426 | 99.03 121 | 98.59 298 | 99.13 181 | 92.16 403 | 99.90 81 | 96.87 284 | 99.68 238 | 99.49 176 |
|
| PMMVS | | | 96.51 380 | 95.98 396 | 98.09 321 | 97.53 480 | 95.84 342 | 94.92 470 | 98.84 363 | 91.58 498 | 96.05 476 | 95.58 492 | 95.68 303 | 99.66 356 | 95.59 381 | 98.09 465 | 98.76 400 |
|
| PAPM | | | 91.88 497 | 90.34 499 | 96.51 439 | 98.06 447 | 92.56 465 | 92.44 525 | 97.17 456 | 86.35 529 | 90.38 534 | 96.01 482 | 86.61 456 | 99.21 478 | 70.65 541 | 95.43 524 | 97.75 474 |
|
| ACMMP |  | | 98.75 138 | 98.50 174 | 99.52 44 | 99.56 111 | 99.16 48 | 98.87 89 | 99.37 213 | 97.16 322 | 98.82 256 | 99.01 224 | 97.71 161 | 99.87 135 | 96.29 344 | 99.69 232 | 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 | | | 97.17 346 | 96.71 362 | 98.55 256 | 98.56 394 | 98.05 166 | 96.33 402 | 98.93 341 | 96.91 338 | 97.06 426 | 97.39 449 | 94.38 350 | 99.45 445 | 91.66 484 | 99.18 382 | 98.14 451 |
|
| PatchmatchNet |  | | 95.58 427 | 95.67 407 | 95.30 491 | 97.34 490 | 87.32 522 | 97.65 274 | 96.65 474 | 95.30 423 | 97.07 425 | 98.69 311 | 84.77 476 | 99.75 282 | 94.97 396 | 98.64 435 | 98.83 383 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| PHI-MVS | | | 98.29 230 | 97.95 264 | 99.34 83 | 98.44 407 | 99.16 48 | 98.12 190 | 99.38 209 | 96.01 388 | 98.06 355 | 98.43 357 | 97.80 155 | 99.67 343 | 95.69 375 | 99.58 282 | 99.20 311 |
|
| F-COLMAP | | | 97.30 333 | 96.68 364 | 99.14 122 | 99.19 246 | 98.39 121 | 97.27 332 | 99.30 250 | 92.93 482 | 96.62 454 | 98.00 405 | 95.73 301 | 99.68 338 | 92.62 468 | 98.46 446 | 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 | | | 96.06 404 | 97.62 300 | 91.38 520 | 98.65 383 | 98.57 107 | 98.85 93 | 96.95 465 | 96.86 344 | 99.90 14 | 99.16 169 | 99.18 19 | 98.40 506 | 89.23 512 | 99.77 172 | 77.18 542 |
|
| OMC-MVS | | | 97.88 280 | 97.49 307 | 99.04 145 | 98.89 327 | 98.63 100 | 96.94 354 | 99.25 273 | 95.02 432 | 98.53 309 | 98.51 345 | 97.27 204 | 99.47 438 | 93.50 443 | 99.51 307 | 99.01 352 |
|
| MG-MVS | | | 96.77 370 | 96.61 373 | 97.26 404 | 98.31 419 | 93.06 454 | 95.93 431 | 98.12 425 | 96.45 367 | 97.92 366 | 98.73 298 | 93.77 370 | 99.39 455 | 91.19 495 | 99.04 397 | 99.33 266 |
|
| AdaColmap |  | | 97.14 348 | 96.71 362 | 98.46 274 | 98.34 417 | 97.80 203 | 96.95 353 | 98.93 341 | 95.58 410 | 96.92 433 | 97.66 429 | 95.87 297 | 99.53 416 | 90.97 498 | 99.14 386 | 98.04 456 |
|
| uanet | | | 0.00 515 | 0.00 518 | 0.00 530 | 0.00 553 | 0.00 555 | 0.00 541 | 0.00 554 | 0.00 548 | 0.00 549 | 0.00 548 | 0.00 552 | 0.00 549 | 0.00 547 | 0.00 547 | 0.00 545 |
|
| ITE_SJBPF | | | | | 98.87 177 | 99.22 236 | 98.48 115 | | 99.35 223 | 97.50 278 | 98.28 336 | 98.60 334 | 97.64 168 | 99.35 461 | 93.86 430 | 99.27 362 | 98.79 396 |
|
| DeepMVS_CX |  | | | | 93.44 514 | 98.24 428 | 94.21 415 | | 94.34 510 | 64.28 542 | 91.34 531 | 94.87 511 | 89.45 438 | 92.77 541 | 77.54 537 | 93.14 532 | 93.35 528 |
|
| TinyColmap | | | 97.89 277 | 97.98 260 | 97.60 377 | 98.86 331 | 94.35 411 | 96.21 410 | 99.44 184 | 97.45 288 | 99.06 191 | 98.88 264 | 97.99 137 | 99.28 473 | 94.38 416 | 99.58 282 | 99.18 321 |
|
| MAR-MVS | | | 96.47 386 | 95.70 405 | 98.79 199 | 97.92 453 | 99.12 62 | 98.28 167 | 98.60 393 | 92.16 493 | 95.54 489 | 96.17 480 | 94.77 337 | 99.52 420 | 89.62 509 | 98.23 455 | 97.72 477 |
| 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 | | | 97.90 275 | 97.69 291 | 98.52 265 | 99.17 256 | 97.66 215 | 97.19 342 | 99.47 167 | 96.31 372 | 97.85 375 | 98.20 387 | 96.71 247 | 99.52 420 | 94.62 404 | 99.72 208 | 98.38 439 |
|
| MSDG | | | 97.71 297 | 97.52 305 | 98.28 298 | 98.91 321 | 96.82 292 | 94.42 489 | 99.37 213 | 97.65 260 | 98.37 329 | 98.29 378 | 97.40 195 | 99.33 464 | 94.09 423 | 99.22 372 | 98.68 412 |
|
| LS3D | | | 98.63 166 | 98.38 199 | 99.36 74 | 97.25 493 | 99.38 12 | 99.12 61 | 99.32 237 | 99.21 82 | 98.44 320 | 98.88 264 | 97.31 200 | 99.80 233 | 96.58 315 | 99.34 347 | 98.92 371 |
|
| CLD-MVS | | | 97.49 314 | 97.16 328 | 98.48 272 | 99.07 279 | 97.03 277 | 94.71 475 | 99.21 282 | 94.46 448 | 98.06 355 | 97.16 458 | 97.57 176 | 99.48 435 | 94.46 409 | 99.78 164 | 98.95 365 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| FPMVS | | | 93.44 472 | 92.23 481 | 97.08 413 | 99.25 229 | 97.86 191 | 95.61 445 | 97.16 457 | 92.90 484 | 93.76 519 | 98.65 321 | 75.94 515 | 95.66 536 | 79.30 536 | 97.49 484 | 97.73 476 |
|
| 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 | 98.60 296 | 99.62 40 | 98.22 113 | 99.51 426 | 97.70 205 | 99.73 199 | 97.89 464 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |