| CS-MVS | | | 99.50 30 | 99.48 21 | 99.54 123 | 99.76 80 | 99.42 116 | 99.90 1 | 99.55 98 | 98.56 116 | 99.78 79 | 99.70 206 | 98.65 73 | 99.79 235 | 99.65 40 | 99.78 132 | 99.41 254 |
|
| mmtdpeth | | | 96.95 370 | 96.71 369 | 97.67 390 | 99.33 281 | 94.90 416 | 99.89 2 | 99.28 335 | 98.15 173 | 99.72 100 | 98.57 426 | 86.56 428 | 99.90 146 | 99.82 28 | 89.02 452 | 98.20 421 |
|
| SPE-MVS-test | | | 99.49 32 | 99.48 21 | 99.54 123 | 99.78 68 | 99.30 136 | 99.89 2 | 99.58 77 | 98.56 116 | 99.73 95 | 99.69 217 | 98.55 80 | 99.82 217 | 99.69 34 | 99.85 92 | 99.48 233 |
|
| MVSFormer | | | 99.17 106 | 99.12 95 | 99.29 197 | 99.51 219 | 98.94 195 | 99.88 4 | 99.46 227 | 97.55 267 | 99.80 72 | 99.65 238 | 97.39 124 | 99.28 356 | 99.03 125 | 99.85 92 | 99.65 165 |
|
| test_djsdf | | | 98.67 204 | 98.57 205 | 98.98 235 | 98.70 411 | 98.91 200 | 99.88 4 | 99.46 227 | 97.55 267 | 99.22 248 | 99.88 51 | 95.73 214 | 99.28 356 | 99.03 125 | 97.62 315 | 98.75 325 |
|
| OurMVSNet-221017-0 | | | 97.88 286 | 97.77 277 | 98.19 349 | 98.71 410 | 96.53 370 | 99.88 4 | 99.00 378 | 97.79 237 | 98.78 330 | 99.94 6 | 91.68 365 | 99.35 346 | 97.21 333 | 96.99 351 | 98.69 342 |
|
| EC-MVSNet | | | 99.44 49 | 99.39 39 | 99.58 114 | 99.56 198 | 99.49 107 | 99.88 4 | 99.58 77 | 98.38 135 | 99.73 95 | 99.69 217 | 98.20 102 | 99.70 276 | 99.64 42 | 99.82 115 | 99.54 209 |
|
| DVP-MVS++ | | | 99.59 14 | 99.50 18 | 99.88 15 | 99.51 219 | 99.88 10 | 99.87 8 | 99.51 147 | 98.99 67 | 99.88 41 | 99.81 124 | 99.27 6 | 99.96 40 | 98.85 157 | 99.80 123 | 99.81 78 |
|
| FOURS1 | | | | | | 99.91 1 | 99.93 1 | 99.87 8 | 99.56 89 | 99.10 46 | 99.81 67 | | | | | | |
|
| K. test v3 | | | 97.10 367 | 96.79 367 | 98.01 362 | 98.72 408 | 96.33 377 | 99.87 8 | 97.05 456 | 97.59 261 | 96.16 434 | 99.80 142 | 88.71 405 | 99.04 399 | 96.69 365 | 96.55 357 | 98.65 366 |
|
| FC-MVSNet-test | | | 98.75 197 | 98.62 198 | 99.15 219 | 99.08 350 | 99.45 113 | 99.86 11 | 99.60 66 | 98.23 163 | 98.70 342 | 99.82 109 | 96.80 160 | 99.22 370 | 99.07 120 | 96.38 360 | 98.79 315 |
|
| v7n | | | 97.87 288 | 97.52 306 | 98.92 246 | 98.76 404 | 98.58 242 | 99.84 12 | 99.46 227 | 96.20 383 | 98.91 308 | 99.70 206 | 94.89 252 | 99.44 326 | 96.03 382 | 93.89 418 | 98.75 325 |
|
| DTE-MVSNet | | | 97.51 343 | 97.19 352 | 98.46 320 | 98.63 417 | 98.13 275 | 99.84 12 | 99.48 194 | 96.68 345 | 97.97 396 | 99.67 231 | 92.92 328 | 98.56 433 | 96.88 358 | 92.60 436 | 98.70 338 |
|
| 3Dnovator | | 97.25 9 | 99.24 95 | 99.05 109 | 99.81 59 | 99.12 339 | 99.66 69 | 99.84 12 | 99.74 12 | 99.09 53 | 98.92 307 | 99.90 32 | 95.94 201 | 99.98 19 | 98.95 137 | 99.92 38 | 99.79 91 |
|
| FIs | | | 98.78 192 | 98.63 193 | 99.23 209 | 99.18 323 | 99.54 96 | 99.83 15 | 99.59 72 | 98.28 148 | 98.79 329 | 99.81 124 | 96.75 163 | 99.37 339 | 99.08 119 | 96.38 360 | 98.78 317 |
|
| MGCFI-Net | | | 99.01 156 | 98.85 164 | 99.50 147 | 99.42 253 | 99.26 142 | 99.82 16 | 99.48 194 | 98.60 113 | 99.28 230 | 98.81 415 | 97.04 145 | 99.76 247 | 99.29 90 | 97.87 304 | 99.47 239 |
|
| test_fmvs3 | | | 92.10 422 | 91.77 425 | 93.08 437 | 96.19 455 | 86.25 457 | 99.82 16 | 98.62 430 | 96.65 348 | 95.19 442 | 96.90 457 | 55.05 471 | 95.93 464 | 96.63 370 | 90.92 445 | 97.06 453 |
|
| jajsoiax | | | 98.43 218 | 98.28 225 | 98.88 259 | 98.60 421 | 98.43 261 | 99.82 16 | 99.53 123 | 98.19 168 | 98.63 354 | 99.80 142 | 93.22 323 | 99.44 326 | 99.22 99 | 97.50 327 | 98.77 321 |
|
| OpenMVS |  | 96.50 16 | 98.47 215 | 98.12 236 | 99.52 137 | 99.04 358 | 99.53 99 | 99.82 16 | 99.72 13 | 94.56 422 | 98.08 389 | 99.88 51 | 94.73 264 | 99.98 19 | 97.47 318 | 99.76 138 | 99.06 296 |
|
| SDMVSNet | | | 99.11 131 | 98.90 150 | 99.75 75 | 99.81 55 | 99.59 86 | 99.81 20 | 99.65 38 | 98.78 96 | 99.64 134 | 99.88 51 | 94.56 276 | 99.93 108 | 99.67 36 | 98.26 282 | 99.72 130 |
|
| nrg030 | | | 98.64 208 | 98.42 215 | 99.28 201 | 99.05 356 | 99.69 61 | 99.81 20 | 99.46 227 | 98.04 206 | 99.01 290 | 99.82 109 | 96.69 165 | 99.38 336 | 99.34 80 | 94.59 405 | 98.78 317 |
|
| HPM-MVS |  | | 99.42 54 | 99.28 68 | 99.83 55 | 99.90 4 | 99.72 55 | 99.81 20 | 99.54 107 | 97.59 261 | 99.68 109 | 99.63 250 | 98.91 38 | 99.94 90 | 98.58 200 | 99.91 45 | 99.84 53 |
| Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
| EPP-MVSNet | | | 99.13 118 | 98.99 128 | 99.53 131 | 99.65 153 | 99.06 169 | 99.81 20 | 99.33 310 | 97.43 284 | 99.60 149 | 99.88 51 | 97.14 136 | 99.84 194 | 99.13 111 | 98.94 231 | 99.69 145 |
|
| 3Dnovator+ | | 97.12 13 | 99.18 102 | 98.97 132 | 99.82 56 | 99.17 331 | 99.68 62 | 99.81 20 | 99.51 147 | 99.20 32 | 98.72 335 | 99.89 40 | 95.68 216 | 99.97 28 | 98.86 155 | 99.86 85 | 99.81 78 |
|
| sasdasda | | | 99.02 152 | 98.86 161 | 99.51 142 | 99.42 253 | 99.32 129 | 99.80 25 | 99.48 194 | 98.63 108 | 99.31 222 | 98.81 415 | 97.09 141 | 99.75 250 | 99.27 94 | 97.90 301 | 99.47 239 |
|
| FA-MVS(test-final) | | | 98.75 197 | 98.53 209 | 99.41 170 | 99.55 202 | 99.05 171 | 99.80 25 | 99.01 377 | 96.59 358 | 99.58 153 | 99.59 264 | 95.39 226 | 99.90 146 | 97.78 284 | 99.49 175 | 99.28 271 |
|
| GeoE | | | 98.85 183 | 98.62 198 | 99.53 131 | 99.61 179 | 99.08 166 | 99.80 25 | 99.51 147 | 97.10 316 | 99.31 222 | 99.78 166 | 95.23 237 | 99.77 243 | 98.21 240 | 99.03 225 | 99.75 108 |
|
| canonicalmvs | | | 99.02 152 | 98.86 161 | 99.51 142 | 99.42 253 | 99.32 129 | 99.80 25 | 99.48 194 | 98.63 108 | 99.31 222 | 98.81 415 | 97.09 141 | 99.75 250 | 99.27 94 | 97.90 301 | 99.47 239 |
|
| v8 | | | 97.95 277 | 97.63 296 | 98.93 244 | 98.95 373 | 98.81 220 | 99.80 25 | 99.41 263 | 96.03 397 | 99.10 273 | 99.42 322 | 94.92 249 | 99.30 354 | 96.94 353 | 94.08 415 | 98.66 364 |
|
| Vis-MVSNet (Re-imp) | | | 98.87 171 | 98.72 179 | 99.31 189 | 99.71 115 | 98.88 202 | 99.80 25 | 99.44 247 | 97.91 219 | 99.36 212 | 99.78 166 | 95.49 223 | 99.43 330 | 97.91 269 | 99.11 213 | 99.62 180 |
|
| Anonymous20240521 | | | 96.20 386 | 95.89 389 | 97.13 408 | 97.72 442 | 94.96 415 | 99.79 31 | 99.29 333 | 93.01 437 | 97.20 419 | 99.03 394 | 89.69 395 | 98.36 437 | 91.16 443 | 96.13 366 | 98.07 428 |
|
| PS-MVSNAJss | | | 98.92 165 | 98.92 145 | 98.90 252 | 98.78 397 | 98.53 246 | 99.78 32 | 99.54 107 | 98.07 193 | 99.00 294 | 99.76 179 | 99.01 19 | 99.37 339 | 99.13 111 | 97.23 344 | 98.81 314 |
|
| PEN-MVS | | | 97.76 309 | 97.44 322 | 98.72 285 | 98.77 402 | 98.54 245 | 99.78 32 | 99.51 147 | 97.06 320 | 98.29 379 | 99.64 244 | 92.63 341 | 98.89 424 | 98.09 253 | 93.16 428 | 98.72 331 |
|
| anonymousdsp | | | 98.44 217 | 98.28 225 | 98.94 242 | 98.50 427 | 98.96 185 | 99.77 34 | 99.50 170 | 97.07 318 | 98.87 316 | 99.77 175 | 94.76 262 | 99.28 356 | 98.66 186 | 97.60 316 | 98.57 392 |
|
| SixPastTwentyTwo | | | 97.50 344 | 97.33 340 | 98.03 359 | 98.65 415 | 96.23 382 | 99.77 34 | 98.68 426 | 97.14 309 | 97.90 399 | 99.93 10 | 90.45 384 | 99.18 378 | 97.00 347 | 96.43 359 | 98.67 355 |
|
| QAPM | | | 98.67 204 | 98.30 224 | 99.80 63 | 99.20 317 | 99.67 66 | 99.77 34 | 99.72 13 | 94.74 419 | 98.73 334 | 99.90 32 | 95.78 212 | 99.98 19 | 96.96 351 | 99.88 74 | 99.76 106 |
|
| SSC-MVS | | | 92.73 421 | 93.73 415 | 89.72 447 | 95.02 465 | 81.38 467 | 99.76 37 | 99.23 345 | 94.87 416 | 92.80 454 | 98.93 407 | 94.71 266 | 91.37 471 | 74.49 470 | 93.80 419 | 96.42 457 |
|
| test_vis3_rt | | | 87.04 429 | 85.81 432 | 90.73 444 | 93.99 468 | 81.96 465 | 99.76 37 | 90.23 479 | 92.81 440 | 81.35 467 | 91.56 467 | 40.06 475 | 99.07 396 | 94.27 416 | 88.23 454 | 91.15 467 |
|
| dcpmvs_2 | | | 99.23 96 | 99.58 8 | 98.16 351 | 99.83 46 | 94.68 421 | 99.76 37 | 99.52 128 | 99.07 56 | 99.98 12 | 99.88 51 | 98.56 79 | 99.93 108 | 99.67 36 | 99.98 4 | 99.87 40 |
|
| RRT-MVS | | | 98.91 166 | 98.75 175 | 99.39 176 | 99.46 243 | 98.61 240 | 99.76 37 | 99.50 170 | 98.06 197 | 99.81 67 | 99.88 51 | 93.91 307 | 99.94 90 | 99.11 114 | 99.27 192 | 99.61 182 |
|
| HPM-MVS_fast | | | 99.51 28 | 99.40 37 | 99.85 42 | 99.91 1 | 99.79 40 | 99.76 37 | 99.56 89 | 97.72 246 | 99.76 89 | 99.75 184 | 99.13 13 | 99.92 121 | 99.07 120 | 99.92 38 | 99.85 46 |
|
| lecture | | | 99.60 13 | 99.50 18 | 99.89 11 | 99.89 8 | 99.90 3 | 99.75 42 | 99.59 72 | 99.06 59 | 99.88 41 | 99.85 77 | 98.41 92 | 99.96 40 | 99.28 91 | 99.84 100 | 99.83 63 |
|
| MVSMamba_PlusPlus | | | 99.46 41 | 99.41 36 | 99.64 99 | 99.68 130 | 99.50 106 | 99.75 42 | 99.50 170 | 98.27 150 | 99.87 47 | 99.92 17 | 98.09 107 | 99.94 90 | 99.65 40 | 99.95 22 | 99.47 239 |
|
| v10 | | | 97.85 291 | 97.52 306 | 98.86 266 | 98.99 366 | 98.67 231 | 99.75 42 | 99.41 263 | 95.70 401 | 98.98 297 | 99.41 326 | 94.75 263 | 99.23 366 | 96.01 384 | 94.63 404 | 98.67 355 |
|
| APDe-MVS |  | | 99.66 6 | 99.57 9 | 99.92 1 | 99.77 76 | 99.89 6 | 99.75 42 | 99.56 89 | 99.02 60 | 99.88 41 | 99.85 77 | 99.18 11 | 99.96 40 | 99.22 99 | 99.92 38 | 99.90 25 |
| Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition |
| IS-MVSNet | | | 99.05 148 | 98.87 158 | 99.57 118 | 99.73 105 | 99.32 129 | 99.75 42 | 99.20 351 | 98.02 211 | 99.56 157 | 99.86 70 | 96.54 173 | 99.67 284 | 98.09 253 | 99.13 209 | 99.73 121 |
|
| test_vis1_n | | | 97.92 281 | 97.44 322 | 99.34 181 | 99.53 210 | 98.08 278 | 99.74 47 | 99.49 182 | 99.15 36 | 100.00 1 | 99.94 6 | 79.51 459 | 99.98 19 | 99.88 25 | 99.76 138 | 99.97 4 |
|
| test_fmvs1_n | | | 98.41 221 | 98.14 233 | 99.21 210 | 99.82 51 | 97.71 304 | 99.74 47 | 99.49 182 | 99.32 28 | 99.99 2 | 99.95 3 | 85.32 437 | 99.97 28 | 99.82 28 | 99.84 100 | 99.96 7 |
|
| balanced_conf03 | | | 99.46 41 | 99.39 39 | 99.67 88 | 99.55 202 | 99.58 91 | 99.74 47 | 99.51 147 | 98.42 132 | 99.87 47 | 99.84 92 | 98.05 110 | 99.91 133 | 99.58 46 | 99.94 30 | 99.52 216 |
|
| tttt0517 | | | 98.42 219 | 98.14 233 | 99.28 201 | 99.66 145 | 98.38 264 | 99.74 47 | 96.85 458 | 97.68 252 | 99.79 74 | 99.74 189 | 91.39 373 | 99.89 161 | 98.83 163 | 99.56 168 | 99.57 203 |
|
| WB-MVS | | | 93.10 419 | 94.10 411 | 90.12 446 | 95.51 463 | 81.88 466 | 99.73 51 | 99.27 338 | 95.05 412 | 93.09 453 | 98.91 411 | 94.70 267 | 91.89 470 | 76.62 468 | 94.02 417 | 96.58 456 |
|
| test_fmvs2 | | | 97.25 361 | 97.30 343 | 97.09 410 | 99.43 251 | 93.31 442 | 99.73 51 | 98.87 400 | 98.83 86 | 99.28 230 | 99.80 142 | 84.45 442 | 99.66 287 | 97.88 271 | 97.45 332 | 98.30 414 |
|
| SD_0403 | | | 97.55 338 | 97.53 305 | 97.62 392 | 99.61 179 | 93.64 439 | 99.72 53 | 99.44 247 | 98.03 208 | 98.62 357 | 99.39 334 | 96.06 193 | 99.57 308 | 87.88 456 | 99.01 228 | 99.66 159 |
|
| MonoMVSNet | | | 98.38 225 | 98.47 213 | 98.12 356 | 98.59 423 | 96.19 384 | 99.72 53 | 98.79 411 | 97.89 221 | 99.44 184 | 99.52 292 | 96.13 190 | 98.90 423 | 98.64 188 | 97.54 322 | 99.28 271 |
|
| baseline | | | 99.15 112 | 99.02 120 | 99.53 131 | 99.66 145 | 99.14 158 | 99.72 53 | 99.48 194 | 98.35 140 | 99.42 190 | 99.84 92 | 96.07 192 | 99.79 235 | 99.51 55 | 99.14 206 | 99.67 155 |
|
| RPSCF | | | 98.22 236 | 98.62 198 | 96.99 411 | 99.82 51 | 91.58 451 | 99.72 53 | 99.44 247 | 96.61 353 | 99.66 120 | 99.89 40 | 95.92 202 | 99.82 217 | 97.46 319 | 99.10 219 | 99.57 203 |
|
| CSCG | | | 99.32 78 | 99.32 53 | 99.32 187 | 99.85 30 | 98.29 266 | 99.71 57 | 99.66 31 | 98.11 184 | 99.41 195 | 99.80 142 | 98.37 95 | 99.96 40 | 98.99 129 | 99.96 16 | 99.72 130 |
|
| dmvs_re | | | 98.08 253 | 98.16 230 | 97.85 377 | 99.55 202 | 94.67 422 | 99.70 58 | 98.92 388 | 98.15 173 | 99.06 284 | 99.35 346 | 93.67 315 | 99.25 363 | 97.77 287 | 97.25 343 | 99.64 172 |
|
| WR-MVS_H | | | 98.13 247 | 97.87 267 | 98.90 252 | 99.02 360 | 98.84 212 | 99.70 58 | 99.59 72 | 97.27 298 | 98.40 371 | 99.19 378 | 95.53 221 | 99.23 366 | 98.34 230 | 93.78 420 | 98.61 386 |
|
| mvsmamba | | | 99.06 144 | 98.96 136 | 99.36 178 | 99.47 241 | 98.64 235 | 99.70 58 | 99.05 372 | 97.61 260 | 99.65 129 | 99.83 97 | 96.54 173 | 99.92 121 | 99.19 102 | 99.62 163 | 99.51 225 |
|
| LTVRE_ROB | | 97.16 12 | 98.02 265 | 97.90 262 | 98.40 330 | 99.23 310 | 96.80 359 | 99.70 58 | 99.60 66 | 97.12 312 | 98.18 386 | 99.70 206 | 91.73 364 | 99.72 263 | 98.39 223 | 97.45 332 | 98.68 347 |
| Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016 |
| MED-MVS test | | | | | 99.87 21 | 99.88 13 | 99.81 33 | 99.69 62 | 99.87 6 | 99.34 25 | 99.90 33 | 99.83 97 | | 99.95 75 | 98.83 163 | 99.89 67 | 99.83 63 |
|
| TestfortrainingZip a | | | 99.73 1 | 99.67 1 | 99.92 1 | 99.88 13 | 99.91 2 | 99.69 62 | 99.87 6 | 99.34 25 | 99.90 33 | 99.83 97 | 99.30 4 | 99.95 75 | 99.32 83 | 99.89 67 | 99.90 25 |
|
| TestfortrainingZip | | | | | | | | 99.69 62 | | | | | | | | | |
|
| test_f | | | 91.90 423 | 91.26 427 | 93.84 433 | 95.52 462 | 85.92 458 | 99.69 62 | 98.53 434 | 95.31 406 | 93.87 448 | 96.37 460 | 55.33 470 | 98.27 438 | 95.70 390 | 90.98 444 | 97.32 452 |
|
| XVS | | | 99.53 26 | 99.42 31 | 99.87 21 | 99.85 30 | 99.83 22 | 99.69 62 | 99.68 23 | 98.98 70 | 99.37 206 | 99.74 189 | 98.81 48 | 99.94 90 | 98.79 170 | 99.86 85 | 99.84 53 |
|
| X-MVStestdata | | | 96.55 378 | 95.45 397 | 99.87 21 | 99.85 30 | 99.83 22 | 99.69 62 | 99.68 23 | 98.98 70 | 99.37 206 | 64.01 476 | 98.81 48 | 99.94 90 | 98.79 170 | 99.86 85 | 99.84 53 |
|
| V42 | | | 98.06 255 | 97.79 272 | 98.86 266 | 98.98 369 | 98.84 212 | 99.69 62 | 99.34 302 | 96.53 360 | 99.30 226 | 99.37 340 | 94.67 269 | 99.32 351 | 97.57 308 | 94.66 403 | 98.42 406 |
|
| mPP-MVS | | | 99.44 49 | 99.30 61 | 99.86 33 | 99.88 13 | 99.79 40 | 99.69 62 | 99.48 194 | 98.12 182 | 99.50 171 | 99.75 184 | 98.78 52 | 99.97 28 | 98.57 203 | 99.89 67 | 99.83 63 |
|
| CP-MVS | | | 99.45 45 | 99.32 53 | 99.85 42 | 99.83 46 | 99.75 50 | 99.69 62 | 99.52 128 | 98.07 193 | 99.53 166 | 99.63 250 | 98.93 37 | 99.97 28 | 98.74 174 | 99.91 45 | 99.83 63 |
|
| FE-MVS | | | 98.48 214 | 98.17 229 | 99.40 171 | 99.54 209 | 98.96 185 | 99.68 71 | 98.81 407 | 95.54 403 | 99.62 141 | 99.70 206 | 93.82 310 | 99.93 108 | 97.35 327 | 99.46 176 | 99.32 268 |
|
| PS-CasMVS | | | 97.93 278 | 97.59 300 | 98.95 240 | 98.99 366 | 99.06 169 | 99.68 71 | 99.52 128 | 97.13 310 | 98.31 376 | 99.68 225 | 92.44 350 | 99.05 398 | 98.51 211 | 94.08 415 | 98.75 325 |
|
| Vis-MVSNet |  | | 99.12 125 | 98.97 132 | 99.56 120 | 99.78 68 | 99.10 162 | 99.68 71 | 99.66 31 | 98.49 123 | 99.86 51 | 99.87 62 | 94.77 261 | 99.84 194 | 99.19 102 | 99.41 180 | 99.74 112 |
| Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
| KinetiMVS | | | 99.12 125 | 98.92 145 | 99.70 85 | 99.67 132 | 99.40 119 | 99.67 74 | 99.63 45 | 98.73 100 | 99.94 27 | 99.81 124 | 94.54 279 | 99.96 40 | 98.40 222 | 99.93 32 | 99.74 112 |
|
| BP-MVS1 | | | 99.12 125 | 98.94 142 | 99.65 93 | 99.51 219 | 99.30 136 | 99.67 74 | 98.92 388 | 98.48 124 | 99.84 54 | 99.69 217 | 94.96 244 | 99.92 121 | 99.62 43 | 99.79 130 | 99.71 139 |
|
| test_vis1_n_1920 | | | 98.63 209 | 98.40 217 | 99.31 189 | 99.86 24 | 97.94 291 | 99.67 74 | 99.62 50 | 99.43 16 | 99.99 2 | 99.91 25 | 87.29 423 | 100.00 1 | 99.92 23 | 99.92 38 | 99.98 2 |
|
| EIA-MVS | | | 99.18 102 | 99.09 102 | 99.45 159 | 99.49 233 | 99.18 150 | 99.67 74 | 99.53 123 | 97.66 255 | 99.40 200 | 99.44 318 | 98.10 106 | 99.81 222 | 98.94 138 | 99.62 163 | 99.35 263 |
|
| MSP-MVS | | | 99.42 54 | 99.27 72 | 99.88 15 | 99.89 8 | 99.80 37 | 99.67 74 | 99.50 170 | 98.70 104 | 99.77 83 | 99.49 302 | 98.21 101 | 99.95 75 | 98.46 217 | 99.77 135 | 99.88 35 |
| Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025 |
| MVS_Test | | | 99.10 136 | 98.97 132 | 99.48 151 | 99.49 233 | 99.14 158 | 99.67 74 | 99.34 302 | 97.31 295 | 99.58 153 | 99.76 179 | 97.65 120 | 99.82 217 | 98.87 150 | 99.07 222 | 99.46 244 |
|
| CP-MVSNet | | | 98.09 251 | 97.78 275 | 99.01 231 | 98.97 371 | 99.24 145 | 99.67 74 | 99.46 227 | 97.25 300 | 98.48 368 | 99.64 244 | 93.79 311 | 99.06 397 | 98.63 190 | 94.10 414 | 98.74 329 |
|
| MTAPA | | | 99.52 27 | 99.39 39 | 99.89 11 | 99.90 4 | 99.86 18 | 99.66 81 | 99.47 216 | 98.79 93 | 99.68 109 | 99.81 124 | 98.43 88 | 99.97 28 | 98.88 147 | 99.90 56 | 99.83 63 |
|
| HFP-MVS | | | 99.49 32 | 99.37 43 | 99.86 33 | 99.87 19 | 99.80 37 | 99.66 81 | 99.67 26 | 98.15 173 | 99.68 109 | 99.69 217 | 99.06 17 | 99.96 40 | 98.69 182 | 99.87 77 | 99.84 53 |
|
| mvs_tets | | | 98.40 224 | 98.23 227 | 98.91 250 | 98.67 414 | 98.51 252 | 99.66 81 | 99.53 123 | 98.19 168 | 98.65 351 | 99.81 124 | 92.75 332 | 99.44 326 | 99.31 85 | 97.48 331 | 98.77 321 |
|
| EU-MVSNet | | | 97.98 272 | 98.03 248 | 97.81 383 | 98.72 408 | 96.65 366 | 99.66 81 | 99.66 31 | 98.09 188 | 98.35 374 | 99.82 109 | 95.25 235 | 98.01 444 | 97.41 323 | 95.30 391 | 98.78 317 |
|
| ACMMPR | | | 99.49 32 | 99.36 45 | 99.86 33 | 99.87 19 | 99.79 40 | 99.66 81 | 99.67 26 | 98.15 173 | 99.67 115 | 99.69 217 | 98.95 31 | 99.96 40 | 98.69 182 | 99.87 77 | 99.84 53 |
|
| MP-MVS |  | | 99.33 76 | 99.15 91 | 99.87 21 | 99.88 13 | 99.82 28 | 99.66 81 | 99.46 227 | 98.09 188 | 99.48 175 | 99.74 189 | 98.29 98 | 99.96 40 | 97.93 268 | 99.87 77 | 99.82 71 |
| Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
| NormalMVS | | | 99.27 87 | 99.19 87 | 99.52 137 | 99.89 8 | 98.83 215 | 99.65 87 | 99.52 128 | 99.10 46 | 99.84 54 | 99.76 179 | 95.80 210 | 99.99 4 | 99.30 88 | 99.84 100 | 99.74 112 |
|
| SymmetryMVS | | | 99.15 112 | 99.02 120 | 99.52 137 | 99.72 109 | 98.83 215 | 99.65 87 | 99.34 302 | 99.10 46 | 99.84 54 | 99.76 179 | 95.80 210 | 99.99 4 | 99.30 88 | 98.72 252 | 99.73 121 |
|
| Elysia | | | 98.88 168 | 98.65 190 | 99.58 114 | 99.58 189 | 99.34 125 | 99.65 87 | 99.52 128 | 98.26 153 | 99.83 62 | 99.87 62 | 93.37 318 | 99.90 146 | 97.81 281 | 99.91 45 | 99.49 230 |
|
| StellarMVS | | | 98.88 168 | 98.65 190 | 99.58 114 | 99.58 189 | 99.34 125 | 99.65 87 | 99.52 128 | 98.26 153 | 99.83 62 | 99.87 62 | 93.37 318 | 99.90 146 | 97.81 281 | 99.91 45 | 99.49 230 |
|
| test_cas_vis1_n_1920 | | | 99.16 108 | 99.01 125 | 99.61 107 | 99.81 55 | 98.86 209 | 99.65 87 | 99.64 41 | 99.39 21 | 99.97 24 | 99.94 6 | 93.20 324 | 99.98 19 | 99.55 49 | 99.91 45 | 99.99 1 |
|
| region2R | | | 99.48 36 | 99.35 47 | 99.87 21 | 99.88 13 | 99.80 37 | 99.65 87 | 99.66 31 | 98.13 180 | 99.66 120 | 99.68 225 | 98.96 26 | 99.96 40 | 98.62 191 | 99.87 77 | 99.84 53 |
|
| TranMVSNet+NR-MVSNet | | | 97.93 278 | 97.66 291 | 98.76 282 | 98.78 397 | 98.62 238 | 99.65 87 | 99.49 182 | 97.76 241 | 98.49 367 | 99.60 262 | 94.23 292 | 98.97 415 | 98.00 264 | 92.90 430 | 98.70 338 |
|
| GDP-MVS | | | 99.08 139 | 98.89 154 | 99.64 99 | 99.53 210 | 99.34 125 | 99.64 94 | 99.48 194 | 98.32 145 | 99.77 83 | 99.66 236 | 95.14 240 | 99.93 108 | 98.97 135 | 99.50 174 | 99.64 172 |
|
| ttmdpeth | | | 97.80 305 | 97.63 296 | 98.29 340 | 98.77 402 | 97.38 315 | 99.64 94 | 99.36 290 | 98.78 96 | 96.30 432 | 99.58 268 | 92.34 353 | 99.39 334 | 98.36 228 | 95.58 384 | 98.10 426 |
|
| mvsany_test3 | | | 93.77 416 | 93.45 419 | 94.74 430 | 95.78 458 | 88.01 456 | 99.64 94 | 98.25 439 | 98.28 148 | 94.31 446 | 97.97 448 | 68.89 463 | 98.51 435 | 97.50 314 | 90.37 446 | 97.71 443 |
|
| ZNCC-MVS | | | 99.47 39 | 99.33 51 | 99.87 21 | 99.87 19 | 99.81 33 | 99.64 94 | 99.67 26 | 98.08 192 | 99.55 163 | 99.64 244 | 98.91 38 | 99.96 40 | 98.72 177 | 99.90 56 | 99.82 71 |
|
| tfpnnormal | | | 97.84 295 | 97.47 314 | 98.98 235 | 99.20 317 | 99.22 147 | 99.64 94 | 99.61 59 | 96.32 374 | 98.27 380 | 99.70 206 | 93.35 320 | 99.44 326 | 95.69 391 | 95.40 389 | 98.27 416 |
|
| casdiffmvs_mvg |  | | 99.15 112 | 99.02 120 | 99.55 122 | 99.66 145 | 99.09 163 | 99.64 94 | 99.56 89 | 98.26 153 | 99.45 179 | 99.87 62 | 96.03 195 | 99.81 222 | 99.54 50 | 99.15 205 | 99.73 121 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| SR-MVS-dyc-post | | | 99.45 45 | 99.31 59 | 99.85 42 | 99.76 80 | 99.82 28 | 99.63 100 | 99.52 128 | 98.38 135 | 99.76 89 | 99.82 109 | 98.53 81 | 99.95 75 | 98.61 194 | 99.81 118 | 99.77 99 |
|
| RE-MVS-def | | | | 99.34 49 | | 99.76 80 | 99.82 28 | 99.63 100 | 99.52 128 | 98.38 135 | 99.76 89 | 99.82 109 | 98.75 59 | | 98.61 194 | 99.81 118 | 99.77 99 |
|
| TSAR-MVS + MP. | | | 99.58 15 | 99.50 18 | 99.81 59 | 99.91 1 | 99.66 69 | 99.63 100 | 99.39 273 | 98.91 80 | 99.78 79 | 99.85 77 | 99.36 2 | 99.94 90 | 98.84 160 | 99.88 74 | 99.82 71 |
| Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
| Anonymous20231206 | | | 96.22 384 | 96.03 385 | 96.79 419 | 97.31 448 | 94.14 431 | 99.63 100 | 99.08 366 | 96.17 386 | 97.04 423 | 99.06 391 | 93.94 304 | 97.76 450 | 86.96 460 | 95.06 396 | 98.47 400 |
|
| APD-MVS_3200maxsize | | | 99.48 36 | 99.35 47 | 99.85 42 | 99.76 80 | 99.83 22 | 99.63 100 | 99.54 107 | 98.36 139 | 99.79 74 | 99.82 109 | 98.86 42 | 99.95 75 | 98.62 191 | 99.81 118 | 99.78 97 |
|
| test0726 | | | | | | 99.85 30 | 99.89 6 | 99.62 105 | 99.50 170 | 99.10 46 | 99.86 51 | 99.82 109 | 98.94 33 | | | | |
|
| EPNet | | | 98.86 174 | 98.71 181 | 99.30 194 | 97.20 450 | 98.18 271 | 99.62 105 | 98.91 393 | 99.28 30 | 98.63 354 | 99.81 124 | 95.96 198 | 99.99 4 | 99.24 98 | 99.72 146 | 99.73 121 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| 114514_t | | | 98.93 164 | 98.67 185 | 99.72 84 | 99.85 30 | 99.53 99 | 99.62 105 | 99.59 72 | 92.65 442 | 99.71 103 | 99.78 166 | 98.06 109 | 99.90 146 | 98.84 160 | 99.91 45 | 99.74 112 |
|
| HY-MVS | | 97.30 7 | 98.85 183 | 98.64 192 | 99.47 156 | 99.42 253 | 99.08 166 | 99.62 105 | 99.36 290 | 97.39 289 | 99.28 230 | 99.68 225 | 96.44 179 | 99.92 121 | 98.37 226 | 98.22 285 | 99.40 256 |
|
| ACMMP |  | | 99.45 45 | 99.32 53 | 99.82 56 | 99.89 8 | 99.67 66 | 99.62 105 | 99.69 21 | 98.12 182 | 99.63 137 | 99.84 92 | 98.73 65 | 99.96 40 | 98.55 209 | 99.83 111 | 99.81 78 |
| Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence |
| DeepC-MVS | | 98.35 2 | 99.30 81 | 99.19 87 | 99.64 99 | 99.82 51 | 99.23 146 | 99.62 105 | 99.55 98 | 98.94 76 | 99.63 137 | 99.95 3 | 95.82 208 | 99.94 90 | 99.37 74 | 99.97 8 | 99.73 121 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| EI-MVSNet-Vis-set | | | 99.58 15 | 99.56 11 | 99.64 99 | 99.78 68 | 99.15 157 | 99.61 111 | 99.45 238 | 99.01 62 | 99.89 38 | 99.82 109 | 99.01 19 | 99.92 121 | 99.56 48 | 99.95 22 | 99.85 46 |
|
| reproduce_monomvs | | | 97.89 285 | 97.87 267 | 97.96 368 | 99.51 219 | 95.45 401 | 99.60 112 | 99.25 341 | 99.17 34 | 98.85 321 | 99.49 302 | 89.29 399 | 99.64 296 | 99.35 75 | 96.31 363 | 98.78 317 |
|
| test2506 | | | 96.81 374 | 96.65 370 | 97.29 405 | 99.74 98 | 92.21 449 | 99.60 112 | 85.06 480 | 99.13 39 | 99.77 83 | 99.93 10 | 87.82 421 | 99.85 185 | 99.38 73 | 99.38 181 | 99.80 87 |
|
| SED-MVS | | | 99.61 9 | 99.52 13 | 99.88 15 | 99.84 37 | 99.90 3 | 99.60 112 | 99.48 194 | 99.08 54 | 99.91 30 | 99.81 124 | 99.20 8 | 99.96 40 | 98.91 144 | 99.85 92 | 99.79 91 |
|
| OPU-MVS | | | | | 99.64 99 | 99.56 198 | 99.72 55 | 99.60 112 | | | | 99.70 206 | 99.27 6 | 99.42 332 | 98.24 239 | 99.80 123 | 99.79 91 |
|
| GST-MVS | | | 99.40 63 | 99.24 77 | 99.85 42 | 99.86 24 | 99.79 40 | 99.60 112 | 99.67 26 | 97.97 214 | 99.63 137 | 99.68 225 | 98.52 82 | 99.95 75 | 98.38 224 | 99.86 85 | 99.81 78 |
|
| EI-MVSNet-UG-set | | | 99.58 15 | 99.57 9 | 99.64 99 | 99.78 68 | 99.14 158 | 99.60 112 | 99.45 238 | 99.01 62 | 99.90 33 | 99.83 97 | 98.98 25 | 99.93 108 | 99.59 44 | 99.95 22 | 99.86 42 |
|
| ACMH | | 97.28 8 | 98.10 250 | 97.99 252 | 98.44 325 | 99.41 258 | 96.96 347 | 99.60 112 | 99.56 89 | 98.09 188 | 98.15 387 | 99.91 25 | 90.87 381 | 99.70 276 | 98.88 147 | 97.45 332 | 98.67 355 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| VortexMVS | | | 98.67 204 | 98.66 188 | 98.68 291 | 99.62 169 | 97.96 286 | 99.59 119 | 99.41 263 | 98.13 180 | 99.31 222 | 99.70 206 | 95.48 224 | 99.27 359 | 99.40 70 | 97.32 341 | 98.79 315 |
|
| guyue | | | 99.16 108 | 99.04 111 | 99.52 137 | 99.69 125 | 98.92 199 | 99.59 119 | 98.81 407 | 98.73 100 | 99.90 33 | 99.87 62 | 95.34 229 | 99.88 166 | 99.66 39 | 99.81 118 | 99.74 112 |
|
| ECVR-MVS |  | | 98.04 261 | 98.05 246 | 98.00 364 | 99.74 98 | 94.37 428 | 99.59 119 | 94.98 468 | 99.13 39 | 99.66 120 | 99.93 10 | 90.67 383 | 99.84 194 | 99.40 70 | 99.38 181 | 99.80 87 |
|
| SR-MVS | | | 99.43 52 | 99.29 65 | 99.86 33 | 99.75 90 | 99.83 22 | 99.59 119 | 99.62 50 | 98.21 166 | 99.73 95 | 99.79 159 | 98.68 69 | 99.96 40 | 98.44 219 | 99.77 135 | 99.79 91 |
|
| thres100view900 | | | 97.76 309 | 97.45 317 | 98.69 290 | 99.72 109 | 97.86 295 | 99.59 119 | 98.74 417 | 97.93 217 | 99.26 241 | 98.62 423 | 91.75 362 | 99.83 208 | 93.22 428 | 98.18 290 | 98.37 412 |
|
| thres600view7 | | | 97.86 290 | 97.51 308 | 98.92 246 | 99.72 109 | 97.95 289 | 99.59 119 | 98.74 417 | 97.94 216 | 99.27 236 | 98.62 423 | 91.75 362 | 99.86 179 | 93.73 423 | 98.19 289 | 98.96 307 |
|
| LCM-MVSNet-Re | | | 97.83 298 | 98.15 232 | 96.87 417 | 99.30 290 | 92.25 448 | 99.59 119 | 98.26 438 | 97.43 284 | 96.20 433 | 99.13 384 | 96.27 186 | 98.73 430 | 98.17 245 | 98.99 229 | 99.64 172 |
|
| baseline1 | | | 98.31 230 | 97.95 257 | 99.38 177 | 99.50 231 | 98.74 225 | 99.59 119 | 98.93 385 | 98.41 133 | 99.14 265 | 99.60 262 | 94.59 274 | 99.79 235 | 98.48 213 | 93.29 425 | 99.61 182 |
|
| SteuartSystems-ACMMP | | | 99.54 23 | 99.42 31 | 99.87 21 | 99.82 51 | 99.81 33 | 99.59 119 | 99.51 147 | 98.62 110 | 99.79 74 | 99.83 97 | 99.28 5 | 99.97 28 | 98.48 213 | 99.90 56 | 99.84 53 |
| Skip Steuart: Steuart Systems R&D Blog. |
| CPTT-MVS | | | 99.11 131 | 98.90 150 | 99.74 78 | 99.80 61 | 99.46 112 | 99.59 119 | 99.49 182 | 97.03 324 | 99.63 137 | 99.69 217 | 97.27 132 | 99.96 40 | 97.82 279 | 99.84 100 | 99.81 78 |
|
| IMVS_0403 | | | 98.86 174 | 98.89 154 | 98.78 280 | 99.55 202 | 96.93 348 | 99.58 129 | 99.44 247 | 98.05 199 | 99.68 109 | 99.80 142 | 96.81 159 | 99.80 229 | 98.15 248 | 98.92 234 | 99.60 185 |
|
| test_fmvsmvis_n_1920 | | | 99.65 7 | 99.61 7 | 99.77 72 | 99.38 268 | 99.37 121 | 99.58 129 | 99.62 50 | 99.41 20 | 99.87 47 | 99.92 17 | 98.81 48 | 100.00 1 | 99.97 2 | 99.93 32 | 99.94 17 |
|
| dmvs_testset | | | 95.02 404 | 96.12 382 | 91.72 441 | 99.10 344 | 80.43 469 | 99.58 129 | 97.87 448 | 97.47 276 | 95.22 440 | 98.82 414 | 93.99 302 | 95.18 466 | 88.09 454 | 94.91 401 | 99.56 206 |
|
| test_fmvsm_n_1920 | | | 99.69 5 | 99.66 4 | 99.78 69 | 99.84 37 | 99.44 114 | 99.58 129 | 99.69 21 | 99.43 16 | 99.98 12 | 99.91 25 | 98.62 75 | 100.00 1 | 99.97 2 | 99.95 22 | 99.90 25 |
|
| test1111 | | | 98.04 261 | 98.11 237 | 97.83 380 | 99.74 98 | 93.82 433 | 99.58 129 | 95.40 467 | 99.12 44 | 99.65 129 | 99.93 10 | 90.73 382 | 99.84 194 | 99.43 68 | 99.38 181 | 99.82 71 |
|
| PGM-MVS | | | 99.45 45 | 99.31 59 | 99.86 33 | 99.87 19 | 99.78 46 | 99.58 129 | 99.65 38 | 97.84 230 | 99.71 103 | 99.80 142 | 99.12 14 | 99.97 28 | 98.33 231 | 99.87 77 | 99.83 63 |
|
| LPG-MVS_test | | | 98.22 236 | 98.13 235 | 98.49 312 | 99.33 281 | 97.05 334 | 99.58 129 | 99.55 98 | 97.46 277 | 99.24 243 | 99.83 97 | 92.58 342 | 99.72 263 | 98.09 253 | 97.51 325 | 98.68 347 |
|
| PHI-MVS | | | 99.30 81 | 99.17 90 | 99.70 85 | 99.56 198 | 99.52 103 | 99.58 129 | 99.80 10 | 97.12 312 | 99.62 141 | 99.73 195 | 98.58 77 | 99.90 146 | 98.61 194 | 99.91 45 | 99.68 151 |
|
| AstraMVS | | | 99.09 137 | 99.03 114 | 99.25 204 | 99.66 145 | 98.13 275 | 99.57 137 | 98.24 440 | 98.82 87 | 99.91 30 | 99.88 51 | 95.81 209 | 99.90 146 | 99.72 31 | 99.67 156 | 99.74 112 |
|
| SF-MVS | | | 99.38 66 | 99.24 77 | 99.79 66 | 99.79 66 | 99.68 62 | 99.57 137 | 99.54 107 | 97.82 236 | 99.71 103 | 99.80 142 | 98.95 31 | 99.93 108 | 98.19 242 | 99.84 100 | 99.74 112 |
|
| DVP-MVS |  | | 99.57 19 | 99.47 23 | 99.88 15 | 99.85 30 | 99.89 6 | 99.57 137 | 99.37 289 | 99.10 46 | 99.81 67 | 99.80 142 | 98.94 33 | 99.96 40 | 98.93 141 | 99.86 85 | 99.81 78 |
| Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025 |
| test_0728_SECOND | | | | | 99.91 6 | 99.84 37 | 99.89 6 | 99.57 137 | 99.51 147 | | | | | 99.96 40 | 98.93 141 | 99.86 85 | 99.88 35 |
|
| Effi-MVS+-dtu | | | 98.78 192 | 98.89 154 | 98.47 319 | 99.33 281 | 96.91 353 | 99.57 137 | 99.30 329 | 98.47 125 | 99.41 195 | 98.99 400 | 96.78 161 | 99.74 253 | 98.73 176 | 99.38 181 | 98.74 329 |
|
| v2v482 | | | 98.06 255 | 97.77 277 | 98.92 246 | 98.90 379 | 98.82 218 | 99.57 137 | 99.36 290 | 96.65 348 | 99.19 257 | 99.35 346 | 94.20 293 | 99.25 363 | 97.72 294 | 94.97 398 | 98.69 342 |
|
| DSMNet-mixed | | | 97.25 361 | 97.35 334 | 96.95 414 | 97.84 438 | 93.61 440 | 99.57 137 | 96.63 462 | 96.13 391 | 98.87 316 | 98.61 425 | 94.59 274 | 97.70 451 | 95.08 405 | 98.86 242 | 99.55 207 |
|
| FE-MVSNET | | | 94.07 415 | 93.36 420 | 96.22 425 | 94.05 467 | 94.71 420 | 99.56 144 | 98.36 436 | 93.15 436 | 93.76 449 | 97.55 450 | 86.47 429 | 96.49 461 | 87.48 457 | 89.83 450 | 97.48 450 |
|
| reproduce_model | | | 99.63 8 | 99.54 12 | 99.90 8 | 99.78 68 | 99.88 10 | 99.56 144 | 99.55 98 | 99.15 36 | 99.90 33 | 99.90 32 | 99.00 23 | 99.97 28 | 99.11 114 | 99.91 45 | 99.86 42 |
|
| MVStest1 | | | 96.08 390 | 95.48 395 | 97.89 374 | 98.93 374 | 96.70 361 | 99.56 144 | 99.35 297 | 92.69 441 | 91.81 458 | 99.46 315 | 89.90 392 | 98.96 417 | 95.00 407 | 92.61 435 | 98.00 435 |
|
| fmvsm_l_conf0.5_n_a | | | 99.71 2 | 99.67 1 | 99.85 42 | 99.86 24 | 99.61 83 | 99.56 144 | 99.63 45 | 99.48 3 | 99.98 12 | 99.83 97 | 98.75 59 | 99.99 4 | 99.97 2 | 99.96 16 | 99.94 17 |
|
| fmvsm_l_conf0.5_n | | | 99.71 2 | 99.67 1 | 99.85 42 | 99.84 37 | 99.63 80 | 99.56 144 | 99.63 45 | 99.47 4 | 99.98 12 | 99.82 109 | 98.75 59 | 99.99 4 | 99.97 2 | 99.97 8 | 99.94 17 |
|
| sd_testset | | | 98.75 197 | 98.57 205 | 99.29 197 | 99.81 55 | 98.26 268 | 99.56 144 | 99.62 50 | 98.78 96 | 99.64 134 | 99.88 51 | 92.02 356 | 99.88 166 | 99.54 50 | 98.26 282 | 99.72 130 |
|
| KD-MVS_self_test | | | 95.00 405 | 94.34 410 | 96.96 413 | 97.07 453 | 95.39 404 | 99.56 144 | 99.44 247 | 95.11 409 | 97.13 421 | 97.32 455 | 91.86 360 | 97.27 455 | 90.35 446 | 81.23 464 | 98.23 420 |
|
| ETV-MVS | | | 99.26 90 | 99.21 83 | 99.40 171 | 99.46 243 | 99.30 136 | 99.56 144 | 99.52 128 | 98.52 120 | 99.44 184 | 99.27 368 | 98.41 92 | 99.86 179 | 99.10 117 | 99.59 166 | 99.04 297 |
|
| SMA-MVS |  | | 99.44 49 | 99.30 61 | 99.85 42 | 99.73 105 | 99.83 22 | 99.56 144 | 99.47 216 | 97.45 280 | 99.78 79 | 99.82 109 | 99.18 11 | 99.91 133 | 98.79 170 | 99.89 67 | 99.81 78 |
| Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology |
| AllTest | | | 98.87 171 | 98.72 179 | 99.31 189 | 99.86 24 | 98.48 257 | 99.56 144 | 99.61 59 | 97.85 227 | 99.36 212 | 99.85 77 | 95.95 199 | 99.85 185 | 96.66 367 | 99.83 111 | 99.59 196 |
|
| casdiffmvs |  | | 99.13 118 | 98.98 131 | 99.56 120 | 99.65 153 | 99.16 153 | 99.56 144 | 99.50 170 | 98.33 143 | 99.41 195 | 99.86 70 | 95.92 202 | 99.83 208 | 99.45 67 | 99.16 202 | 99.70 142 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| XXY-MVS | | | 98.38 225 | 98.09 241 | 99.24 207 | 99.26 302 | 99.32 129 | 99.56 144 | 99.55 98 | 97.45 280 | 98.71 336 | 99.83 97 | 93.23 321 | 99.63 302 | 98.88 147 | 96.32 362 | 98.76 323 |
|
| ACMH+ | | 97.24 10 | 97.92 281 | 97.78 275 | 98.32 337 | 99.46 243 | 96.68 365 | 99.56 144 | 99.54 107 | 98.41 133 | 97.79 405 | 99.87 62 | 90.18 390 | 99.66 287 | 98.05 261 | 97.18 347 | 98.62 377 |
|
| ACMM | | 97.58 5 | 98.37 227 | 98.34 220 | 98.48 314 | 99.41 258 | 97.10 328 | 99.56 144 | 99.45 238 | 98.53 119 | 99.04 287 | 99.85 77 | 93.00 326 | 99.71 269 | 98.74 174 | 97.45 332 | 98.64 368 |
| Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
| LS3D | | | 99.27 87 | 99.12 95 | 99.74 78 | 99.18 323 | 99.75 50 | 99.56 144 | 99.57 84 | 98.45 128 | 99.49 174 | 99.85 77 | 97.77 117 | 99.94 90 | 98.33 231 | 99.84 100 | 99.52 216 |
|
| testing3-2 | | | 97.84 295 | 97.70 287 | 98.24 346 | 99.53 210 | 95.37 405 | 99.55 159 | 98.67 427 | 98.46 126 | 99.27 236 | 99.34 350 | 86.58 427 | 99.83 208 | 99.32 83 | 98.63 255 | 99.52 216 |
|
| test_fmvsmconf0.01_n | | | 99.22 98 | 99.03 114 | 99.79 66 | 98.42 430 | 99.48 109 | 99.55 159 | 99.51 147 | 99.39 21 | 99.78 79 | 99.93 10 | 94.80 256 | 99.95 75 | 99.93 22 | 99.95 22 | 99.94 17 |
|
| test_fmvs1 | | | 98.88 168 | 98.79 172 | 99.16 215 | 99.69 125 | 97.61 308 | 99.55 159 | 99.49 182 | 99.32 28 | 99.98 12 | 99.91 25 | 91.41 372 | 99.96 40 | 99.82 28 | 99.92 38 | 99.90 25 |
|
| v144192 | | | 97.92 281 | 97.60 299 | 98.87 263 | 98.83 391 | 98.65 233 | 99.55 159 | 99.34 302 | 96.20 383 | 99.32 221 | 99.40 330 | 94.36 286 | 99.26 362 | 96.37 378 | 95.03 397 | 98.70 338 |
|
| API-MVS | | | 99.04 149 | 99.03 114 | 99.06 225 | 99.40 263 | 99.31 133 | 99.55 159 | 99.56 89 | 98.54 118 | 99.33 220 | 99.39 334 | 98.76 56 | 99.78 241 | 96.98 349 | 99.78 132 | 98.07 428 |
|
| fmvsm_l_conf0.5_n_3 | | | 99.61 9 | 99.51 17 | 99.92 1 | 99.84 37 | 99.82 28 | 99.54 164 | 99.66 31 | 99.46 7 | 99.98 12 | 99.89 40 | 97.27 132 | 99.99 4 | 99.97 2 | 99.95 22 | 99.95 11 |
|
| fmvsm_s_conf0.1_n_a | | | 99.26 90 | 99.06 107 | 99.85 42 | 99.52 216 | 99.62 81 | 99.54 164 | 99.62 50 | 98.69 105 | 99.99 2 | 99.96 1 | 94.47 283 | 99.94 90 | 99.88 25 | 99.92 38 | 99.98 2 |
|
| APD_test1 | | | 95.87 392 | 96.49 374 | 94.00 432 | 99.53 210 | 84.01 461 | 99.54 164 | 99.32 320 | 95.91 399 | 97.99 394 | 99.85 77 | 85.49 435 | 99.88 166 | 91.96 439 | 98.84 244 | 98.12 425 |
|
| thisisatest0530 | | | 98.35 228 | 98.03 248 | 99.31 189 | 99.63 161 | 98.56 243 | 99.54 164 | 96.75 460 | 97.53 271 | 99.73 95 | 99.65 238 | 91.25 377 | 99.89 161 | 98.62 191 | 99.56 168 | 99.48 233 |
|
| MTMP | | | | | | | | 99.54 164 | 98.88 398 | | | | | | | | |
|
| v1144 | | | 97.98 272 | 97.69 288 | 98.85 269 | 98.87 384 | 98.66 232 | 99.54 164 | 99.35 297 | 96.27 378 | 99.23 247 | 99.35 346 | 94.67 269 | 99.23 366 | 96.73 362 | 95.16 394 | 98.68 347 |
|
| v148 | | | 97.79 307 | 97.55 301 | 98.50 311 | 98.74 405 | 97.72 301 | 99.54 164 | 99.33 310 | 96.26 379 | 98.90 310 | 99.51 296 | 94.68 268 | 99.14 383 | 97.83 278 | 93.15 429 | 98.63 375 |
|
| CostFormer | | | 97.72 319 | 97.73 284 | 97.71 388 | 99.15 337 | 94.02 432 | 99.54 164 | 99.02 376 | 94.67 420 | 99.04 287 | 99.35 346 | 92.35 352 | 99.77 243 | 98.50 212 | 97.94 300 | 99.34 266 |
|
| MVSTER | | | 98.49 213 | 98.32 222 | 99.00 233 | 99.35 275 | 99.02 173 | 99.54 164 | 99.38 281 | 97.41 287 | 99.20 254 | 99.73 195 | 93.86 309 | 99.36 343 | 98.87 150 | 97.56 320 | 98.62 377 |
|
| fmvsm_s_conf0.5_n_10 | | | 99.41 58 | 99.24 77 | 99.92 1 | 99.83 46 | 99.84 20 | 99.53 173 | 99.56 89 | 99.45 11 | 99.99 2 | 99.92 17 | 94.92 249 | 99.99 4 | 99.97 2 | 99.97 8 | 99.95 11 |
|
| fmvsm_s_conf0.1_n | | | 99.29 83 | 99.10 97 | 99.86 33 | 99.70 120 | 99.65 73 | 99.53 173 | 99.62 50 | 98.74 99 | 99.99 2 | 99.95 3 | 94.53 281 | 99.94 90 | 99.89 24 | 99.96 16 | 99.97 4 |
|
| reproduce-ours | | | 99.61 9 | 99.52 13 | 99.90 8 | 99.76 80 | 99.88 10 | 99.52 175 | 99.54 107 | 99.13 39 | 99.89 38 | 99.89 40 | 98.96 26 | 99.96 40 | 99.04 123 | 99.90 56 | 99.85 46 |
|
| our_new_method | | | 99.61 9 | 99.52 13 | 99.90 8 | 99.76 80 | 99.88 10 | 99.52 175 | 99.54 107 | 99.13 39 | 99.89 38 | 99.89 40 | 98.96 26 | 99.96 40 | 99.04 123 | 99.90 56 | 99.85 46 |
|
| fmvsm_s_conf0.5_n_a | | | 99.56 20 | 99.47 23 | 99.85 42 | 99.83 46 | 99.64 79 | 99.52 175 | 99.65 38 | 99.10 46 | 99.98 12 | 99.92 17 | 97.35 128 | 99.96 40 | 99.94 20 | 99.92 38 | 99.95 11 |
|
| MM | | | 99.40 63 | 99.28 68 | 99.74 78 | 99.67 132 | 99.31 133 | 99.52 175 | 98.87 400 | 99.55 1 | 99.74 93 | 99.80 142 | 96.47 176 | 99.98 19 | 99.97 2 | 99.97 8 | 99.94 17 |
|
| patch_mono-2 | | | 99.26 90 | 99.62 6 | 98.16 351 | 99.81 55 | 94.59 424 | 99.52 175 | 99.64 41 | 99.33 27 | 99.73 95 | 99.90 32 | 99.00 23 | 99.99 4 | 99.69 34 | 99.98 4 | 99.89 29 |
|
| Fast-Effi-MVS+-dtu | | | 98.77 196 | 98.83 168 | 98.60 296 | 99.41 258 | 96.99 343 | 99.52 175 | 99.49 182 | 98.11 184 | 99.24 243 | 99.34 350 | 96.96 150 | 99.79 235 | 97.95 267 | 99.45 177 | 99.02 300 |
|
| Fast-Effi-MVS+ | | | 98.70 201 | 98.43 214 | 99.51 142 | 99.51 219 | 99.28 139 | 99.52 175 | 99.47 216 | 96.11 392 | 99.01 290 | 99.34 350 | 96.20 188 | 99.84 194 | 97.88 271 | 98.82 246 | 99.39 257 |
|
| v1921920 | | | 97.80 305 | 97.45 317 | 98.84 270 | 98.80 393 | 98.53 246 | 99.52 175 | 99.34 302 | 96.15 389 | 99.24 243 | 99.47 311 | 93.98 303 | 99.29 355 | 95.40 399 | 95.13 395 | 98.69 342 |
|
| MIMVSNet1 | | | 95.51 398 | 95.04 403 | 96.92 416 | 97.38 445 | 95.60 394 | 99.52 175 | 99.50 170 | 93.65 430 | 96.97 425 | 99.17 379 | 85.28 438 | 96.56 460 | 88.36 453 | 95.55 386 | 98.60 389 |
|
| viewmacassd2359aftdt | | | 99.08 139 | 98.94 142 | 99.50 147 | 99.66 145 | 98.96 185 | 99.51 184 | 99.54 107 | 98.27 150 | 99.42 190 | 99.89 40 | 95.88 206 | 99.80 229 | 99.20 101 | 99.11 213 | 99.76 106 |
|
| SSM_0407 | | | 99.13 118 | 99.03 114 | 99.43 167 | 99.62 169 | 98.88 202 | 99.51 184 | 99.50 170 | 98.14 178 | 99.37 206 | 99.85 77 | 96.85 153 | 99.83 208 | 99.19 102 | 99.25 195 | 99.60 185 |
|
| fmvsm_s_conf0.5_n_8 | | | 99.54 23 | 99.42 31 | 99.89 11 | 99.83 46 | 99.74 53 | 99.51 184 | 99.62 50 | 99.46 7 | 99.99 2 | 99.90 32 | 96.60 169 | 99.98 19 | 99.95 15 | 99.95 22 | 99.96 7 |
|
| fmvsm_s_conf0.5_n | | | 99.51 28 | 99.40 37 | 99.85 42 | 99.84 37 | 99.65 73 | 99.51 184 | 99.67 26 | 99.13 39 | 99.98 12 | 99.92 17 | 96.60 169 | 99.96 40 | 99.95 15 | 99.96 16 | 99.95 11 |
|
| UniMVSNet_ETH3D | | | 97.32 358 | 96.81 366 | 98.87 263 | 99.40 263 | 97.46 312 | 99.51 184 | 99.53 123 | 95.86 400 | 98.54 364 | 99.77 175 | 82.44 451 | 99.66 287 | 98.68 184 | 97.52 324 | 99.50 229 |
|
| alignmvs | | | 98.81 187 | 98.56 207 | 99.58 114 | 99.43 251 | 99.42 116 | 99.51 184 | 98.96 383 | 98.61 111 | 99.35 215 | 98.92 410 | 94.78 258 | 99.77 243 | 99.35 75 | 98.11 295 | 99.54 209 |
|
| v1192 | | | 97.81 303 | 97.44 322 | 98.91 250 | 98.88 381 | 98.68 230 | 99.51 184 | 99.34 302 | 96.18 385 | 99.20 254 | 99.34 350 | 94.03 301 | 99.36 343 | 95.32 401 | 95.18 393 | 98.69 342 |
|
| test20.03 | | | 96.12 388 | 95.96 387 | 96.63 420 | 97.44 444 | 95.45 401 | 99.51 184 | 99.38 281 | 96.55 359 | 96.16 434 | 99.25 371 | 93.76 313 | 96.17 462 | 87.35 459 | 94.22 411 | 98.27 416 |
|
| mvs_anonymous | | | 99.03 151 | 98.99 128 | 99.16 215 | 99.38 268 | 98.52 250 | 99.51 184 | 99.38 281 | 97.79 237 | 99.38 204 | 99.81 124 | 97.30 130 | 99.45 321 | 99.35 75 | 98.99 229 | 99.51 225 |
|
| TAMVS | | | 99.12 125 | 99.08 103 | 99.24 207 | 99.46 243 | 98.55 244 | 99.51 184 | 99.46 227 | 98.09 188 | 99.45 179 | 99.82 109 | 98.34 96 | 99.51 315 | 98.70 179 | 98.93 232 | 99.67 155 |
|
| viewdifsd2359ckpt13 | | | 99.06 144 | 98.93 144 | 99.45 159 | 99.63 161 | 98.96 185 | 99.50 194 | 99.51 147 | 97.83 231 | 99.28 230 | 99.80 142 | 96.68 167 | 99.71 269 | 99.05 122 | 99.12 211 | 99.68 151 |
|
| viewdifsd2359ckpt11 | | | 98.78 192 | 98.74 177 | 98.89 256 | 99.67 132 | 97.04 337 | 99.50 194 | 99.58 77 | 98.26 153 | 99.56 157 | 99.90 32 | 94.36 286 | 99.87 173 | 99.49 60 | 98.32 278 | 99.77 99 |
|
| viewmsd2359difaftdt | | | 98.78 192 | 98.74 177 | 98.90 252 | 99.67 132 | 97.04 337 | 99.50 194 | 99.58 77 | 98.26 153 | 99.56 157 | 99.90 32 | 94.36 286 | 99.87 173 | 99.49 60 | 98.32 278 | 99.77 99 |
|
| IMVS_0407 | | | 98.86 174 | 98.91 148 | 98.72 285 | 99.55 202 | 96.93 348 | 99.50 194 | 99.44 247 | 98.05 199 | 99.66 120 | 99.80 142 | 97.13 137 | 99.65 292 | 98.15 248 | 98.92 234 | 99.60 185 |
|
| viewmanbaseed2359cas | | | 99.18 102 | 99.07 106 | 99.50 147 | 99.62 169 | 99.01 175 | 99.50 194 | 99.52 128 | 98.25 158 | 99.68 109 | 99.82 109 | 96.93 151 | 99.80 229 | 99.15 110 | 99.11 213 | 99.70 142 |
|
| fmvsm_s_conf0.5_n_6 | | | 99.54 23 | 99.44 30 | 99.85 42 | 99.51 219 | 99.67 66 | 99.50 194 | 99.64 41 | 99.43 16 | 99.98 12 | 99.78 166 | 97.26 134 | 99.95 75 | 99.95 15 | 99.93 32 | 99.92 23 |
|
| test_fmvsmconf0.1_n | | | 99.55 22 | 99.45 29 | 99.86 33 | 99.44 250 | 99.65 73 | 99.50 194 | 99.61 59 | 99.45 11 | 99.87 47 | 99.92 17 | 97.31 129 | 99.97 28 | 99.95 15 | 99.99 1 | 99.97 4 |
|
| test_yl | | | 98.86 174 | 98.63 193 | 99.54 123 | 99.49 233 | 99.18 150 | 99.50 194 | 99.07 369 | 98.22 164 | 99.61 146 | 99.51 296 | 95.37 227 | 99.84 194 | 98.60 197 | 98.33 274 | 99.59 196 |
|
| DCV-MVSNet | | | 98.86 174 | 98.63 193 | 99.54 123 | 99.49 233 | 99.18 150 | 99.50 194 | 99.07 369 | 98.22 164 | 99.61 146 | 99.51 296 | 95.37 227 | 99.84 194 | 98.60 197 | 98.33 274 | 99.59 196 |
|
| tfpn200view9 | | | 97.72 319 | 97.38 330 | 98.72 285 | 99.69 125 | 97.96 286 | 99.50 194 | 98.73 423 | 97.83 231 | 99.17 262 | 98.45 430 | 91.67 366 | 99.83 208 | 93.22 428 | 98.18 290 | 98.37 412 |
|
| UA-Net | | | 99.42 54 | 99.29 65 | 99.80 63 | 99.62 169 | 99.55 94 | 99.50 194 | 99.70 17 | 98.79 93 | 99.77 83 | 99.96 1 | 97.45 123 | 99.96 40 | 98.92 143 | 99.90 56 | 99.89 29 |
|
| pm-mvs1 | | | 97.68 327 | 97.28 346 | 98.88 259 | 99.06 353 | 98.62 238 | 99.50 194 | 99.45 238 | 96.32 374 | 97.87 401 | 99.79 159 | 92.47 346 | 99.35 346 | 97.54 311 | 93.54 422 | 98.67 355 |
|
| EI-MVSNet | | | 98.67 204 | 98.67 185 | 98.68 291 | 99.35 275 | 97.97 284 | 99.50 194 | 99.38 281 | 96.93 333 | 99.20 254 | 99.83 97 | 97.87 113 | 99.36 343 | 98.38 224 | 97.56 320 | 98.71 333 |
|
| CVMVSNet | | | 98.57 211 | 98.67 185 | 98.30 339 | 99.35 275 | 95.59 395 | 99.50 194 | 99.55 98 | 98.60 113 | 99.39 202 | 99.83 97 | 94.48 282 | 99.45 321 | 98.75 173 | 98.56 262 | 99.85 46 |
|
| VPA-MVSNet | | | 98.29 233 | 97.95 257 | 99.30 194 | 99.16 333 | 99.54 96 | 99.50 194 | 99.58 77 | 98.27 150 | 99.35 215 | 99.37 340 | 92.53 344 | 99.65 292 | 99.35 75 | 94.46 406 | 98.72 331 |
|
| thres400 | | | 97.77 308 | 97.38 330 | 98.92 246 | 99.69 125 | 97.96 286 | 99.50 194 | 98.73 423 | 97.83 231 | 99.17 262 | 98.45 430 | 91.67 366 | 99.83 208 | 93.22 428 | 98.18 290 | 98.96 307 |
|
| APD-MVS |  | | 99.27 87 | 99.08 103 | 99.84 54 | 99.75 90 | 99.79 40 | 99.50 194 | 99.50 170 | 97.16 308 | 99.77 83 | 99.82 109 | 98.78 52 | 99.94 90 | 97.56 309 | 99.86 85 | 99.80 87 |
| Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
| SSM_0404 | | | 99.16 108 | 99.06 107 | 99.44 164 | 99.65 153 | 98.96 185 | 99.49 211 | 99.50 170 | 98.14 178 | 99.62 141 | 99.85 77 | 96.85 153 | 99.85 185 | 99.19 102 | 99.26 194 | 99.52 216 |
|
| fmvsm_s_conf0.5_n_4 | | | 99.36 71 | 99.24 77 | 99.73 81 | 99.78 68 | 99.53 99 | 99.49 211 | 99.60 66 | 99.42 19 | 99.99 2 | 99.86 70 | 95.15 239 | 99.95 75 | 99.95 15 | 99.89 67 | 99.73 121 |
|
| test_vis1_rt | | | 95.81 394 | 95.65 393 | 96.32 424 | 99.67 132 | 91.35 452 | 99.49 211 | 96.74 461 | 98.25 158 | 95.24 439 | 98.10 445 | 74.96 460 | 99.90 146 | 99.53 52 | 98.85 243 | 97.70 445 |
|
| TransMVSNet (Re) | | | 97.15 365 | 96.58 371 | 98.86 266 | 99.12 339 | 98.85 210 | 99.49 211 | 98.91 393 | 95.48 404 | 97.16 420 | 99.80 142 | 93.38 317 | 99.11 392 | 94.16 419 | 91.73 439 | 98.62 377 |
|
| UniMVSNet (Re) | | | 98.29 233 | 98.00 251 | 99.13 220 | 99.00 363 | 99.36 124 | 99.49 211 | 99.51 147 | 97.95 215 | 98.97 299 | 99.13 384 | 96.30 185 | 99.38 336 | 98.36 228 | 93.34 424 | 98.66 364 |
|
| EPMVS | | | 97.82 301 | 97.65 292 | 98.35 334 | 98.88 381 | 95.98 387 | 99.49 211 | 94.71 470 | 97.57 264 | 99.26 241 | 99.48 308 | 92.46 349 | 99.71 269 | 97.87 273 | 99.08 221 | 99.35 263 |
|
| viewcassd2359sk11 | | | 99.18 102 | 99.08 103 | 99.49 150 | 99.65 153 | 98.95 191 | 99.48 217 | 99.51 147 | 98.10 187 | 99.72 100 | 99.87 62 | 97.13 137 | 99.84 194 | 99.13 111 | 99.14 206 | 99.69 145 |
|
| fmvsm_s_conf0.5_n_9 | | | 99.41 58 | 99.28 68 | 99.81 59 | 99.84 37 | 99.52 103 | 99.48 217 | 99.62 50 | 99.46 7 | 99.99 2 | 99.92 17 | 95.24 236 | 99.96 40 | 99.97 2 | 99.97 8 | 99.96 7 |
|
| SSC-MVS3.2 | | | 97.34 356 | 97.15 353 | 97.93 370 | 99.02 360 | 95.76 392 | 99.48 217 | 99.58 77 | 97.62 259 | 99.09 276 | 99.53 288 | 87.95 417 | 99.27 359 | 96.42 374 | 95.66 382 | 98.75 325 |
|
| fmvsm_s_conf0.5_n_3 | | | 99.37 67 | 99.20 85 | 99.87 21 | 99.75 90 | 99.70 59 | 99.48 217 | 99.66 31 | 99.45 11 | 99.99 2 | 99.93 10 | 94.64 273 | 99.97 28 | 99.94 20 | 99.97 8 | 99.95 11 |
|
| test_fmvsmconf_n | | | 99.70 4 | 99.64 5 | 99.87 21 | 99.80 61 | 99.66 69 | 99.48 217 | 99.64 41 | 99.45 11 | 99.92 29 | 99.92 17 | 98.62 75 | 99.99 4 | 99.96 13 | 99.99 1 | 99.96 7 |
|
| Anonymous20231211 | | | 97.88 286 | 97.54 304 | 98.90 252 | 99.71 115 | 98.53 246 | 99.48 217 | 99.57 84 | 94.16 425 | 98.81 325 | 99.68 225 | 93.23 321 | 99.42 332 | 98.84 160 | 94.42 408 | 98.76 323 |
|
| v1240 | | | 97.69 324 | 97.32 341 | 98.79 278 | 98.85 388 | 98.43 261 | 99.48 217 | 99.36 290 | 96.11 392 | 99.27 236 | 99.36 343 | 93.76 313 | 99.24 365 | 94.46 413 | 95.23 392 | 98.70 338 |
|
| VPNet | | | 97.84 295 | 97.44 322 | 99.01 231 | 99.21 315 | 98.94 195 | 99.48 217 | 99.57 84 | 98.38 135 | 99.28 230 | 99.73 195 | 88.89 402 | 99.39 334 | 99.19 102 | 93.27 426 | 98.71 333 |
|
| UniMVSNet_NR-MVSNet | | | 98.22 236 | 97.97 254 | 98.96 238 | 98.92 376 | 98.98 178 | 99.48 217 | 99.53 123 | 97.76 241 | 98.71 336 | 99.46 315 | 96.43 180 | 99.22 370 | 98.57 203 | 92.87 432 | 98.69 342 |
|
| TDRefinement | | | 95.42 400 | 94.57 408 | 97.97 366 | 89.83 473 | 96.11 386 | 99.48 217 | 98.75 414 | 96.74 341 | 96.68 428 | 99.88 51 | 88.65 408 | 99.71 269 | 98.37 226 | 82.74 462 | 98.09 427 |
|
| fmvsm_l_conf0.5_n_9 | | | 99.58 15 | 99.47 23 | 99.92 1 | 99.85 30 | 99.82 28 | 99.47 227 | 99.63 45 | 99.45 11 | 99.98 12 | 99.89 40 | 97.02 146 | 99.99 4 | 99.98 1 | 99.96 16 | 99.95 11 |
|
| ACMMP_NAP | | | 99.47 39 | 99.34 49 | 99.88 15 | 99.87 19 | 99.86 18 | 99.47 227 | 99.48 194 | 98.05 199 | 99.76 89 | 99.86 70 | 98.82 47 | 99.93 108 | 98.82 169 | 99.91 45 | 99.84 53 |
|
| NR-MVSNet | | | 97.97 275 | 97.61 298 | 99.02 230 | 98.87 384 | 99.26 142 | 99.47 227 | 99.42 260 | 97.63 257 | 97.08 422 | 99.50 299 | 95.07 242 | 99.13 386 | 97.86 274 | 93.59 421 | 98.68 347 |
|
| PVSNet_Blended_VisFu | | | 99.36 71 | 99.28 68 | 99.61 107 | 99.86 24 | 99.07 168 | 99.47 227 | 99.93 2 | 97.66 255 | 99.71 103 | 99.86 70 | 97.73 118 | 99.96 40 | 99.47 65 | 99.82 115 | 99.79 91 |
|
| LuminaMVS | | | 99.23 96 | 99.10 97 | 99.61 107 | 99.35 275 | 99.31 133 | 99.46 231 | 99.13 360 | 98.61 111 | 99.86 51 | 99.89 40 | 96.41 182 | 99.91 133 | 99.67 36 | 99.51 172 | 99.63 177 |
|
| fmvsm_s_conf0.1_n_2 | | | 99.37 67 | 99.22 82 | 99.81 59 | 99.77 76 | 99.75 50 | 99.46 231 | 99.60 66 | 99.47 4 | 99.98 12 | 99.94 6 | 94.98 243 | 99.95 75 | 99.97 2 | 99.79 130 | 99.73 121 |
|
| SD-MVS | | | 99.41 58 | 99.52 13 | 99.05 227 | 99.74 98 | 99.68 62 | 99.46 231 | 99.52 128 | 99.11 45 | 99.88 41 | 99.91 25 | 99.43 1 | 97.70 451 | 98.72 177 | 99.93 32 | 99.77 99 |
| Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024 |
| viewdifsd2359ckpt07 | | | 99.11 131 | 99.00 127 | 99.43 167 | 99.63 161 | 98.73 226 | 99.45 234 | 99.54 107 | 98.33 143 | 99.62 141 | 99.81 124 | 96.17 189 | 99.87 173 | 99.27 94 | 99.14 206 | 99.69 145 |
|
| testing3 | | | 97.28 359 | 96.76 368 | 98.82 272 | 99.37 271 | 98.07 279 | 99.45 234 | 99.36 290 | 97.56 266 | 97.89 400 | 98.95 405 | 83.70 445 | 98.82 425 | 96.03 382 | 98.56 262 | 99.58 200 |
|
| tt0805 | | | 97.97 275 | 97.77 277 | 98.57 301 | 99.59 187 | 96.61 368 | 99.45 234 | 99.08 366 | 98.21 166 | 98.88 313 | 99.80 142 | 88.66 407 | 99.70 276 | 98.58 200 | 97.72 310 | 99.39 257 |
|
| tpm2 | | | 97.44 351 | 97.34 337 | 97.74 387 | 99.15 337 | 94.36 429 | 99.45 234 | 98.94 384 | 93.45 434 | 98.90 310 | 99.44 318 | 91.35 374 | 99.59 306 | 97.31 328 | 98.07 296 | 99.29 270 |
|
| FMVSNet2 | | | 97.72 319 | 97.36 332 | 98.80 277 | 99.51 219 | 98.84 212 | 99.45 234 | 99.42 260 | 96.49 362 | 98.86 320 | 99.29 363 | 90.26 386 | 98.98 408 | 96.44 373 | 96.56 356 | 98.58 391 |
|
| CDS-MVSNet | | | 99.09 137 | 99.03 114 | 99.25 204 | 99.42 253 | 98.73 226 | 99.45 234 | 99.46 227 | 98.11 184 | 99.46 178 | 99.77 175 | 98.01 111 | 99.37 339 | 98.70 179 | 98.92 234 | 99.66 159 |
| Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
| MAR-MVS | | | 98.86 174 | 98.63 193 | 99.54 123 | 99.37 271 | 99.66 69 | 99.45 234 | 99.54 107 | 96.61 353 | 99.01 290 | 99.40 330 | 97.09 141 | 99.86 179 | 97.68 299 | 99.53 171 | 99.10 285 |
| Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020 |
| viewdifsd2359ckpt09 | | | 99.01 156 | 98.87 158 | 99.40 171 | 99.62 169 | 98.79 221 | 99.44 241 | 99.51 147 | 97.76 241 | 99.35 215 | 99.69 217 | 96.42 181 | 99.75 250 | 98.97 135 | 99.11 213 | 99.66 159 |
|
| fmvsm_s_conf0.5_n_2 | | | 99.32 78 | 99.13 93 | 99.89 11 | 99.80 61 | 99.77 47 | 99.44 241 | 99.58 77 | 99.47 4 | 99.99 2 | 99.93 10 | 94.04 300 | 99.96 40 | 99.96 13 | 99.93 32 | 99.93 22 |
|
| UGNet | | | 98.87 171 | 98.69 183 | 99.40 171 | 99.22 314 | 98.72 228 | 99.44 241 | 99.68 23 | 99.24 31 | 99.18 261 | 99.42 322 | 92.74 334 | 99.96 40 | 99.34 80 | 99.94 30 | 99.53 215 |
| Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022 |
| ab-mvs | | | 98.86 174 | 98.63 193 | 99.54 123 | 99.64 157 | 99.19 148 | 99.44 241 | 99.54 107 | 97.77 240 | 99.30 226 | 99.81 124 | 94.20 293 | 99.93 108 | 99.17 108 | 98.82 246 | 99.49 230 |
|
| test_0402 | | | 96.64 377 | 96.24 379 | 97.85 377 | 98.85 388 | 96.43 374 | 99.44 241 | 99.26 339 | 93.52 431 | 96.98 424 | 99.52 292 | 88.52 411 | 99.20 377 | 92.58 438 | 97.50 327 | 97.93 440 |
|
| ACMP | | 97.20 11 | 98.06 255 | 97.94 259 | 98.45 322 | 99.37 271 | 97.01 341 | 99.44 241 | 99.49 182 | 97.54 270 | 98.45 369 | 99.79 159 | 91.95 358 | 99.72 263 | 97.91 269 | 97.49 330 | 98.62 377 |
| Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
| GG-mvs-BLEND | | | | | 98.45 322 | 98.55 425 | 98.16 272 | 99.43 247 | 93.68 472 | | 97.23 416 | 98.46 429 | 89.30 398 | 99.22 370 | 95.43 398 | 98.22 285 | 97.98 437 |
|
| HPM-MVS++ |  | | 99.39 65 | 99.23 81 | 99.87 21 | 99.75 90 | 99.84 20 | 99.43 247 | 99.51 147 | 98.68 107 | 99.27 236 | 99.53 288 | 98.64 74 | 99.96 40 | 98.44 219 | 99.80 123 | 99.79 91 |
|
| tpm cat1 | | | 97.39 353 | 97.36 332 | 97.50 399 | 99.17 331 | 93.73 435 | 99.43 247 | 99.31 324 | 91.27 446 | 98.71 336 | 99.08 388 | 94.31 291 | 99.77 243 | 96.41 376 | 98.50 266 | 99.00 301 |
|
| tpm | | | 97.67 330 | 97.55 301 | 98.03 359 | 99.02 360 | 95.01 413 | 99.43 247 | 98.54 433 | 96.44 368 | 99.12 268 | 99.34 350 | 91.83 361 | 99.60 305 | 97.75 290 | 96.46 358 | 99.48 233 |
|
| GBi-Net | | | 97.68 327 | 97.48 311 | 98.29 340 | 99.51 219 | 97.26 321 | 99.43 247 | 99.48 194 | 96.49 362 | 99.07 279 | 99.32 358 | 90.26 386 | 98.98 408 | 97.10 341 | 96.65 353 | 98.62 377 |
|
| test1 | | | 97.68 327 | 97.48 311 | 98.29 340 | 99.51 219 | 97.26 321 | 99.43 247 | 99.48 194 | 96.49 362 | 99.07 279 | 99.32 358 | 90.26 386 | 98.98 408 | 97.10 341 | 96.65 353 | 98.62 377 |
|
| FMVSNet1 | | | 96.84 373 | 96.36 377 | 98.29 340 | 99.32 288 | 97.26 321 | 99.43 247 | 99.48 194 | 95.11 409 | 98.55 363 | 99.32 358 | 83.95 444 | 98.98 408 | 95.81 387 | 96.26 364 | 98.62 377 |
|
| fmvsm_s_conf0.5_n_7 | | | 99.34 74 | 99.29 65 | 99.48 151 | 99.70 120 | 98.63 236 | 99.42 254 | 99.63 45 | 99.46 7 | 99.98 12 | 99.88 51 | 95.59 219 | 99.96 40 | 99.97 2 | 99.98 4 | 99.85 46 |
|
| fmvsm_s_conf0.5_n_5 | | | 99.37 67 | 99.21 83 | 99.86 33 | 99.80 61 | 99.68 62 | 99.42 254 | 99.61 59 | 99.37 23 | 99.97 24 | 99.86 70 | 94.96 244 | 99.99 4 | 99.97 2 | 99.93 32 | 99.92 23 |
|
| mamv4 | | | 99.33 76 | 99.42 31 | 99.07 223 | 99.67 132 | 97.73 299 | 99.42 254 | 99.60 66 | 98.15 173 | 99.94 27 | 99.91 25 | 98.42 90 | 99.94 90 | 99.72 31 | 99.96 16 | 99.54 209 |
|
| testgi | | | 97.65 332 | 97.50 309 | 98.13 355 | 99.36 274 | 96.45 373 | 99.42 254 | 99.48 194 | 97.76 241 | 97.87 401 | 99.45 317 | 91.09 378 | 98.81 426 | 94.53 412 | 98.52 265 | 99.13 284 |
|
| F-COLMAP | | | 99.19 99 | 99.04 111 | 99.64 99 | 99.78 68 | 99.27 141 | 99.42 254 | 99.54 107 | 97.29 297 | 99.41 195 | 99.59 264 | 98.42 90 | 99.93 108 | 98.19 242 | 99.69 151 | 99.73 121 |
|
| Anonymous202405211 | | | 98.30 232 | 97.98 253 | 99.26 203 | 99.57 194 | 98.16 272 | 99.41 259 | 98.55 432 | 96.03 397 | 99.19 257 | 99.74 189 | 91.87 359 | 99.92 121 | 99.16 109 | 98.29 281 | 99.70 142 |
|
| MSLP-MVS++ | | | 99.46 41 | 99.47 23 | 99.44 164 | 99.60 185 | 99.16 153 | 99.41 259 | 99.71 15 | 98.98 70 | 99.45 179 | 99.78 166 | 99.19 10 | 99.54 313 | 99.28 91 | 99.84 100 | 99.63 177 |
|
| VNet | | | 99.11 131 | 98.90 150 | 99.73 81 | 99.52 216 | 99.56 92 | 99.41 259 | 99.39 273 | 99.01 62 | 99.74 93 | 99.78 166 | 95.56 220 | 99.92 121 | 99.52 54 | 98.18 290 | 99.72 130 |
|
| baseline2 | | | 97.87 288 | 97.55 301 | 98.82 272 | 99.18 323 | 98.02 281 | 99.41 259 | 96.58 464 | 96.97 327 | 96.51 429 | 99.17 379 | 93.43 316 | 99.57 308 | 97.71 295 | 99.03 225 | 98.86 311 |
|
| DU-MVS | | | 98.08 253 | 97.79 272 | 98.96 238 | 98.87 384 | 98.98 178 | 99.41 259 | 99.45 238 | 97.87 223 | 98.71 336 | 99.50 299 | 94.82 254 | 99.22 370 | 98.57 203 | 92.87 432 | 98.68 347 |
|
| Baseline_NR-MVSNet | | | 97.76 309 | 97.45 317 | 98.68 291 | 99.09 347 | 98.29 266 | 99.41 259 | 98.85 402 | 95.65 402 | 98.63 354 | 99.67 231 | 94.82 254 | 99.10 394 | 98.07 260 | 92.89 431 | 98.64 368 |
|
| XVG-ACMP-BASELINE | | | 97.83 298 | 97.71 286 | 98.20 348 | 99.11 341 | 96.33 377 | 99.41 259 | 99.52 128 | 98.06 197 | 99.05 286 | 99.50 299 | 89.64 396 | 99.73 259 | 97.73 292 | 97.38 339 | 98.53 394 |
|
| DP-MVS | | | 99.16 108 | 98.95 140 | 99.78 69 | 99.77 76 | 99.53 99 | 99.41 259 | 99.50 170 | 97.03 324 | 99.04 287 | 99.88 51 | 97.39 124 | 99.92 121 | 98.66 186 | 99.90 56 | 99.87 40 |
|
| 9.14 | | | | 99.10 97 | | 99.72 109 | | 99.40 267 | 99.51 147 | 97.53 271 | 99.64 134 | 99.78 166 | 98.84 45 | 99.91 133 | 97.63 300 | 99.82 115 | |
|
| D2MVS | | | 98.41 221 | 98.50 211 | 98.15 354 | 99.26 302 | 96.62 367 | 99.40 267 | 99.61 59 | 97.71 247 | 98.98 297 | 99.36 343 | 96.04 194 | 99.67 284 | 98.70 179 | 97.41 337 | 98.15 424 |
|
| Anonymous20240529 | | | 98.09 251 | 97.68 289 | 99.34 181 | 99.66 145 | 98.44 260 | 99.40 267 | 99.43 258 | 93.67 429 | 99.22 248 | 99.89 40 | 90.23 389 | 99.93 108 | 99.26 97 | 98.33 274 | 99.66 159 |
|
| FMVSNet3 | | | 98.03 263 | 97.76 281 | 98.84 270 | 99.39 266 | 98.98 178 | 99.40 267 | 99.38 281 | 96.67 346 | 99.07 279 | 99.28 365 | 92.93 327 | 98.98 408 | 97.10 341 | 96.65 353 | 98.56 393 |
|
| LFMVS | | | 97.90 284 | 97.35 334 | 99.54 123 | 99.52 216 | 99.01 175 | 99.39 271 | 98.24 440 | 97.10 316 | 99.65 129 | 99.79 159 | 84.79 440 | 99.91 133 | 99.28 91 | 98.38 271 | 99.69 145 |
|
| HQP_MVS | | | 98.27 235 | 98.22 228 | 98.44 325 | 99.29 294 | 96.97 345 | 99.39 271 | 99.47 216 | 98.97 73 | 99.11 270 | 99.61 259 | 92.71 337 | 99.69 281 | 97.78 284 | 97.63 313 | 98.67 355 |
|
| plane_prior2 | | | | | | | | 99.39 271 | | 98.97 73 | | | | | | | |
|
| CHOSEN 1792x2688 | | | 99.19 99 | 99.10 97 | 99.45 159 | 99.89 8 | 98.52 250 | 99.39 271 | 99.94 1 | 98.73 100 | 99.11 270 | 99.89 40 | 95.50 222 | 99.94 90 | 99.50 56 | 99.97 8 | 99.89 29 |
|
| PAPM_NR | | | 99.04 149 | 98.84 166 | 99.66 89 | 99.74 98 | 99.44 114 | 99.39 271 | 99.38 281 | 97.70 250 | 99.28 230 | 99.28 365 | 98.34 96 | 99.85 185 | 96.96 351 | 99.45 177 | 99.69 145 |
|
| gg-mvs-nofinetune | | | 96.17 387 | 95.32 399 | 98.73 283 | 98.79 394 | 98.14 274 | 99.38 276 | 94.09 471 | 91.07 449 | 98.07 392 | 91.04 469 | 89.62 397 | 99.35 346 | 96.75 361 | 99.09 220 | 98.68 347 |
|
| VDDNet | | | 97.55 338 | 97.02 360 | 99.16 215 | 99.49 233 | 98.12 277 | 99.38 276 | 99.30 329 | 95.35 405 | 99.68 109 | 99.90 32 | 82.62 450 | 99.93 108 | 99.31 85 | 98.13 294 | 99.42 251 |
|
| ME-MVS | | | 99.56 20 | 99.46 27 | 99.86 33 | 99.80 61 | 99.81 33 | 99.37 278 | 99.70 17 | 99.18 33 | 99.83 62 | 99.83 97 | 98.74 64 | 99.93 108 | 98.83 163 | 99.89 67 | 99.83 63 |
|
| MGCNet | | | 99.15 112 | 98.96 136 | 99.73 81 | 98.92 376 | 99.37 121 | 99.37 278 | 96.92 457 | 99.51 2 | 99.66 120 | 99.78 166 | 96.69 165 | 99.97 28 | 99.84 27 | 99.97 8 | 99.84 53 |
|
| pmmvs6 | | | 96.53 379 | 96.09 384 | 97.82 382 | 98.69 412 | 95.47 400 | 99.37 278 | 99.47 216 | 93.46 433 | 97.41 410 | 99.78 166 | 87.06 425 | 99.33 349 | 96.92 356 | 92.70 434 | 98.65 366 |
|
| PM-MVS | | | 92.96 420 | 92.23 424 | 95.14 429 | 95.61 459 | 89.98 455 | 99.37 278 | 98.21 442 | 94.80 418 | 95.04 444 | 97.69 449 | 65.06 464 | 97.90 447 | 94.30 414 | 89.98 449 | 97.54 449 |
|
| WTY-MVS | | | 99.06 144 | 98.88 157 | 99.61 107 | 99.62 169 | 99.16 153 | 99.37 278 | 99.56 89 | 98.04 206 | 99.53 166 | 99.62 255 | 96.84 157 | 99.94 90 | 98.85 157 | 98.49 267 | 99.72 130 |
|
| IterMVS-LS | | | 98.46 216 | 98.42 215 | 98.58 300 | 99.59 187 | 98.00 282 | 99.37 278 | 99.43 258 | 96.94 332 | 99.07 279 | 99.59 264 | 97.87 113 | 99.03 401 | 98.32 233 | 95.62 383 | 98.71 333 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| h-mvs33 | | | 97.70 323 | 97.28 346 | 98.97 237 | 99.70 120 | 97.27 319 | 99.36 284 | 99.45 238 | 98.94 76 | 99.66 120 | 99.64 244 | 94.93 247 | 99.99 4 | 99.48 63 | 84.36 459 | 99.65 165 |
|
| DPE-MVS |  | | 99.46 41 | 99.32 53 | 99.91 6 | 99.78 68 | 99.88 10 | 99.36 284 | 99.51 147 | 98.73 100 | 99.88 41 | 99.84 92 | 98.72 66 | 99.96 40 | 98.16 246 | 99.87 77 | 99.88 35 |
| Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
| UnsupCasMVSNet_eth | | | 96.44 381 | 96.12 382 | 97.40 402 | 98.65 415 | 95.65 393 | 99.36 284 | 99.51 147 | 97.13 310 | 96.04 436 | 98.99 400 | 88.40 412 | 98.17 440 | 96.71 363 | 90.27 447 | 98.40 409 |
|
| sss | | | 99.17 106 | 99.05 109 | 99.53 131 | 99.62 169 | 98.97 181 | 99.36 284 | 99.62 50 | 97.83 231 | 99.67 115 | 99.65 238 | 97.37 127 | 99.95 75 | 99.19 102 | 99.19 201 | 99.68 151 |
|
| DeepC-MVS_fast | | 98.69 1 | 99.49 32 | 99.39 39 | 99.77 72 | 99.63 161 | 99.59 86 | 99.36 284 | 99.46 227 | 99.07 56 | 99.79 74 | 99.82 109 | 98.85 43 | 99.92 121 | 98.68 184 | 99.87 77 | 99.82 71 |
| Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
| CANet | | | 99.25 94 | 99.14 92 | 99.59 111 | 99.41 258 | 99.16 153 | 99.35 289 | 99.57 84 | 98.82 87 | 99.51 170 | 99.61 259 | 96.46 177 | 99.95 75 | 99.59 44 | 99.98 4 | 99.65 165 |
|
| pmmvs-eth3d | | | 95.34 402 | 94.73 405 | 97.15 406 | 95.53 461 | 95.94 388 | 99.35 289 | 99.10 363 | 95.13 407 | 93.55 450 | 97.54 451 | 88.15 416 | 97.91 446 | 94.58 411 | 89.69 451 | 97.61 446 |
|
| MDTV_nov1_ep13_2view | | | | | | | 95.18 410 | 99.35 289 | | 96.84 337 | 99.58 153 | | 95.19 238 | | 97.82 279 | | 99.46 244 |
|
| VDD-MVS | | | 97.73 317 | 97.35 334 | 98.88 259 | 99.47 241 | 97.12 327 | 99.34 292 | 98.85 402 | 98.19 168 | 99.67 115 | 99.85 77 | 82.98 448 | 99.92 121 | 99.49 60 | 98.32 278 | 99.60 185 |
|
| COLMAP_ROB |  | 97.56 6 | 98.86 174 | 98.75 175 | 99.17 214 | 99.88 13 | 98.53 246 | 99.34 292 | 99.59 72 | 97.55 267 | 98.70 342 | 99.89 40 | 95.83 207 | 99.90 146 | 98.10 252 | 99.90 56 | 99.08 290 |
| Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
| viewmambaseed2359dif | | | 99.01 156 | 98.90 150 | 99.32 187 | 99.58 189 | 98.51 252 | 99.33 294 | 99.54 107 | 97.85 227 | 99.44 184 | 99.85 77 | 96.01 196 | 99.79 235 | 99.41 69 | 99.13 209 | 99.67 155 |
|
| myMVS_eth3d28 | | | 97.69 324 | 97.34 337 | 98.73 283 | 99.27 299 | 97.52 310 | 99.33 294 | 98.78 412 | 98.03 208 | 98.82 324 | 98.49 428 | 86.64 426 | 99.46 319 | 98.44 219 | 98.24 284 | 99.23 278 |
|
| EGC-MVSNET | | | 82.80 433 | 77.86 439 | 97.62 392 | 97.91 436 | 96.12 385 | 99.33 294 | 99.28 335 | 8.40 477 | 25.05 478 | 99.27 368 | 84.11 443 | 99.33 349 | 89.20 449 | 98.22 285 | 97.42 451 |
|
| diffmvs_AUTHOR | | | 99.19 99 | 99.10 97 | 99.48 151 | 99.64 157 | 98.85 210 | 99.32 297 | 99.48 194 | 98.50 122 | 99.81 67 | 99.81 124 | 96.82 158 | 99.88 166 | 99.40 70 | 99.12 211 | 99.71 139 |
|
| ETVMVS | | | 97.50 344 | 96.90 364 | 99.29 197 | 99.23 310 | 98.78 224 | 99.32 297 | 98.90 395 | 97.52 273 | 98.56 362 | 98.09 446 | 84.72 441 | 99.69 281 | 97.86 274 | 97.88 303 | 99.39 257 |
|
| FMVSNet5 | | | 96.43 382 | 96.19 381 | 97.15 406 | 99.11 341 | 95.89 389 | 99.32 297 | 99.52 128 | 94.47 424 | 98.34 375 | 99.07 389 | 87.54 422 | 97.07 456 | 92.61 437 | 95.72 380 | 98.47 400 |
|
| dp | | | 97.75 313 | 97.80 271 | 97.59 396 | 99.10 344 | 93.71 436 | 99.32 297 | 98.88 398 | 96.48 365 | 99.08 278 | 99.55 279 | 92.67 340 | 99.82 217 | 96.52 371 | 98.58 259 | 99.24 277 |
|
| tpmvs | | | 97.98 272 | 98.02 250 | 97.84 379 | 99.04 358 | 94.73 418 | 99.31 301 | 99.20 351 | 96.10 396 | 98.76 332 | 99.42 322 | 94.94 246 | 99.81 222 | 96.97 350 | 98.45 268 | 98.97 305 |
|
| tpmrst | | | 98.33 229 | 98.48 212 | 97.90 373 | 99.16 333 | 94.78 417 | 99.31 301 | 99.11 362 | 97.27 298 | 99.45 179 | 99.59 264 | 95.33 230 | 99.84 194 | 98.48 213 | 98.61 256 | 99.09 289 |
|
| testing99 | | | 97.36 354 | 96.94 363 | 98.63 294 | 99.18 323 | 96.70 361 | 99.30 303 | 98.93 385 | 97.71 247 | 98.23 381 | 98.26 438 | 84.92 439 | 99.84 194 | 98.04 262 | 97.85 306 | 99.35 263 |
|
| MP-MVS-pluss | | | 99.37 67 | 99.20 85 | 99.88 15 | 99.90 4 | 99.87 17 | 99.30 303 | 99.52 128 | 97.18 306 | 99.60 149 | 99.79 159 | 98.79 51 | 99.95 75 | 98.83 163 | 99.91 45 | 99.83 63 |
| MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
| NCCC | | | 99.34 74 | 99.19 87 | 99.79 66 | 99.61 179 | 99.65 73 | 99.30 303 | 99.48 194 | 98.86 82 | 99.21 251 | 99.63 250 | 98.72 66 | 99.90 146 | 98.25 238 | 99.63 162 | 99.80 87 |
|
| JIA-IIPM | | | 97.50 344 | 97.02 360 | 98.93 244 | 98.73 406 | 97.80 297 | 99.30 303 | 98.97 381 | 91.73 445 | 98.91 308 | 94.86 463 | 95.10 241 | 99.71 269 | 97.58 304 | 97.98 298 | 99.28 271 |
|
| BH-RMVSNet | | | 98.41 221 | 98.08 242 | 99.40 171 | 99.41 258 | 98.83 215 | 99.30 303 | 98.77 413 | 97.70 250 | 98.94 305 | 99.65 238 | 92.91 330 | 99.74 253 | 96.52 371 | 99.55 170 | 99.64 172 |
|
| testing11 | | | 97.50 344 | 97.10 357 | 98.71 288 | 99.20 317 | 96.91 353 | 99.29 308 | 98.82 405 | 97.89 221 | 98.21 384 | 98.40 432 | 85.63 434 | 99.83 208 | 98.45 218 | 98.04 297 | 99.37 261 |
|
| Syy-MVS | | | 97.09 368 | 97.14 354 | 96.95 414 | 99.00 363 | 92.73 446 | 99.29 308 | 99.39 273 | 97.06 320 | 97.41 410 | 98.15 441 | 93.92 306 | 98.68 431 | 91.71 440 | 98.34 272 | 99.45 247 |
|
| myMVS_eth3d | | | 96.89 371 | 96.37 376 | 98.43 327 | 99.00 363 | 97.16 325 | 99.29 308 | 99.39 273 | 97.06 320 | 97.41 410 | 98.15 441 | 83.46 447 | 98.68 431 | 95.27 402 | 98.34 272 | 99.45 247 |
|
| MCST-MVS | | | 99.43 52 | 99.30 61 | 99.82 56 | 99.79 66 | 99.74 53 | 99.29 308 | 99.40 270 | 98.79 93 | 99.52 168 | 99.62 255 | 98.91 38 | 99.90 146 | 98.64 188 | 99.75 140 | 99.82 71 |
|
| LF4IMVS | | | 97.52 341 | 97.46 316 | 97.70 389 | 98.98 369 | 95.55 396 | 99.29 308 | 98.82 405 | 98.07 193 | 98.66 345 | 99.64 244 | 89.97 391 | 99.61 304 | 97.01 346 | 96.68 352 | 97.94 439 |
|
| hse-mvs2 | | | 97.50 344 | 97.14 354 | 98.59 297 | 99.49 233 | 97.05 334 | 99.28 313 | 99.22 347 | 98.94 76 | 99.66 120 | 99.42 322 | 94.93 247 | 99.65 292 | 99.48 63 | 83.80 461 | 99.08 290 |
|
| OPM-MVS | | | 98.19 240 | 98.10 238 | 98.45 322 | 98.88 381 | 97.07 332 | 99.28 313 | 99.38 281 | 98.57 115 | 99.22 248 | 99.81 124 | 92.12 354 | 99.66 287 | 98.08 257 | 97.54 322 | 98.61 386 |
| Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
| diffmvs |  | | 99.14 116 | 99.02 120 | 99.51 142 | 99.61 179 | 98.96 185 | 99.28 313 | 99.49 182 | 98.46 126 | 99.72 100 | 99.71 202 | 96.50 175 | 99.88 166 | 99.31 85 | 99.11 213 | 99.67 155 |
| Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025 |
| PVSNet_BlendedMVS | | | 98.86 174 | 98.80 169 | 99.03 229 | 99.76 80 | 98.79 221 | 99.28 313 | 99.91 3 | 97.42 286 | 99.67 115 | 99.37 340 | 97.53 121 | 99.88 166 | 98.98 130 | 97.29 342 | 98.42 406 |
|
| OMC-MVS | | | 99.08 139 | 99.04 111 | 99.20 211 | 99.67 132 | 98.22 270 | 99.28 313 | 99.52 128 | 98.07 193 | 99.66 120 | 99.81 124 | 97.79 116 | 99.78 241 | 97.79 283 | 99.81 118 | 99.60 185 |
|
| testing222 | | | 97.16 364 | 96.50 373 | 99.16 215 | 99.16 333 | 98.47 259 | 99.27 318 | 98.66 428 | 97.71 247 | 98.23 381 | 98.15 441 | 82.28 453 | 99.84 194 | 97.36 326 | 97.66 312 | 99.18 281 |
|
| AUN-MVS | | | 96.88 372 | 96.31 378 | 98.59 297 | 99.48 240 | 97.04 337 | 99.27 318 | 99.22 347 | 97.44 283 | 98.51 365 | 99.41 326 | 91.97 357 | 99.66 287 | 97.71 295 | 83.83 460 | 99.07 295 |
|
| pmmvs5 | | | 97.52 341 | 97.30 343 | 98.16 351 | 98.57 424 | 96.73 360 | 99.27 318 | 98.90 395 | 96.14 390 | 98.37 373 | 99.53 288 | 91.54 371 | 99.14 383 | 97.51 313 | 95.87 375 | 98.63 375 |
|
| 1314 | | | 98.68 203 | 98.54 208 | 99.11 221 | 98.89 380 | 98.65 233 | 99.27 318 | 99.49 182 | 96.89 334 | 97.99 394 | 99.56 276 | 97.72 119 | 99.83 208 | 97.74 291 | 99.27 192 | 98.84 313 |
|
| MVS | | | 97.28 359 | 96.55 372 | 99.48 151 | 98.78 397 | 98.95 191 | 99.27 318 | 99.39 273 | 83.53 463 | 98.08 389 | 99.54 284 | 96.97 149 | 99.87 173 | 94.23 417 | 99.16 202 | 99.63 177 |
|
| BH-untuned | | | 98.42 219 | 98.36 218 | 98.59 297 | 99.49 233 | 96.70 361 | 99.27 318 | 99.13 360 | 97.24 302 | 98.80 327 | 99.38 337 | 95.75 213 | 99.74 253 | 97.07 345 | 99.16 202 | 99.33 267 |
|
| MDTV_nov1_ep13 | | | | 98.32 222 | | 99.11 341 | 94.44 426 | 99.27 318 | 98.74 417 | 97.51 274 | 99.40 200 | 99.62 255 | 94.78 258 | 99.76 247 | 97.59 303 | 98.81 248 | |
|
| DP-MVS Recon | | | 99.12 125 | 98.95 140 | 99.65 93 | 99.74 98 | 99.70 59 | 99.27 318 | 99.57 84 | 96.40 372 | 99.42 190 | 99.68 225 | 98.75 59 | 99.80 229 | 97.98 265 | 99.72 146 | 99.44 249 |
|
| PatchmatchNet |  | | 98.31 230 | 98.36 218 | 98.19 349 | 99.16 333 | 95.32 406 | 99.27 318 | 98.92 388 | 97.37 290 | 99.37 206 | 99.58 268 | 94.90 251 | 99.70 276 | 97.43 322 | 99.21 199 | 99.54 209 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
| thres200 | | | 97.61 335 | 97.28 346 | 98.62 295 | 99.64 157 | 98.03 280 | 99.26 327 | 98.74 417 | 97.68 252 | 99.09 276 | 98.32 436 | 91.66 368 | 99.81 222 | 92.88 433 | 98.22 285 | 98.03 431 |
|
| CNVR-MVS | | | 99.42 54 | 99.30 61 | 99.78 69 | 99.62 169 | 99.71 57 | 99.26 327 | 99.52 128 | 98.82 87 | 99.39 202 | 99.71 202 | 98.96 26 | 99.85 185 | 98.59 199 | 99.80 123 | 99.77 99 |
|
| mamba_0408 | | | 99.08 139 | 98.96 136 | 99.44 164 | 99.62 169 | 98.88 202 | 99.25 329 | 99.47 216 | 98.05 199 | 99.37 206 | 99.81 124 | 96.85 153 | 99.85 185 | 98.98 130 | 99.25 195 | 99.60 185 |
|
| SSM_04072 | | | 99.06 144 | 98.96 136 | 99.35 180 | 99.62 169 | 98.88 202 | 99.25 329 | 99.47 216 | 98.05 199 | 99.37 206 | 99.81 124 | 96.85 153 | 99.58 307 | 98.98 130 | 99.25 195 | 99.60 185 |
|
| tt0320 | | | 95.71 397 | 95.07 401 | 97.62 392 | 99.05 356 | 95.02 412 | 99.25 329 | 99.52 128 | 86.81 458 | 97.97 396 | 99.72 199 | 83.58 446 | 99.15 381 | 96.38 377 | 93.35 423 | 98.68 347 |
|
| 1112_ss | | | 98.98 160 | 98.77 173 | 99.59 111 | 99.68 130 | 99.02 173 | 99.25 329 | 99.48 194 | 97.23 303 | 99.13 266 | 99.58 268 | 96.93 151 | 99.90 146 | 98.87 150 | 98.78 249 | 99.84 53 |
|
| TAPA-MVS | | 97.07 15 | 97.74 315 | 97.34 337 | 98.94 242 | 99.70 120 | 97.53 309 | 99.25 329 | 99.51 147 | 91.90 444 | 99.30 226 | 99.63 250 | 98.78 52 | 99.64 296 | 88.09 454 | 99.87 77 | 99.65 165 |
| Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
| UWE-MVS-28 | | | 97.36 354 | 97.24 350 | 97.75 385 | 98.84 390 | 94.44 426 | 99.24 334 | 97.58 453 | 97.98 213 | 99.00 294 | 99.00 398 | 91.35 374 | 99.53 314 | 93.75 422 | 98.39 270 | 99.27 275 |
|
| UBG | | | 97.85 291 | 97.48 311 | 98.95 240 | 99.25 306 | 97.64 306 | 99.24 334 | 98.74 417 | 97.90 220 | 98.64 352 | 98.20 440 | 88.65 408 | 99.81 222 | 98.27 236 | 98.40 269 | 99.42 251 |
|
| PLC |  | 97.94 4 | 99.02 152 | 98.85 164 | 99.53 131 | 99.66 145 | 99.01 175 | 99.24 334 | 99.52 128 | 96.85 336 | 99.27 236 | 99.48 308 | 98.25 100 | 99.91 133 | 97.76 288 | 99.62 163 | 99.65 165 |
| Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
| test_post1 | | | | | | | | 99.23 337 | | | | 65.14 475 | 94.18 296 | 99.71 269 | 97.58 304 | | |
|
| ADS-MVSNet2 | | | 98.02 265 | 98.07 245 | 97.87 375 | 99.33 281 | 95.19 409 | 99.23 337 | 99.08 366 | 96.24 380 | 99.10 273 | 99.67 231 | 94.11 297 | 98.93 420 | 96.81 359 | 99.05 223 | 99.48 233 |
|
| ADS-MVSNet | | | 98.20 239 | 98.08 242 | 98.56 305 | 99.33 281 | 96.48 372 | 99.23 337 | 99.15 357 | 96.24 380 | 99.10 273 | 99.67 231 | 94.11 297 | 99.71 269 | 96.81 359 | 99.05 223 | 99.48 233 |
|
| EPNet_dtu | | | 98.03 263 | 97.96 255 | 98.23 347 | 98.27 432 | 95.54 398 | 99.23 337 | 98.75 414 | 99.02 60 | 97.82 403 | 99.71 202 | 96.11 191 | 99.48 316 | 93.04 431 | 99.65 159 | 99.69 145 |
| Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
| CR-MVSNet | | | 98.17 243 | 97.93 260 | 98.87 263 | 99.18 323 | 98.49 255 | 99.22 341 | 99.33 310 | 96.96 328 | 99.56 157 | 99.38 337 | 94.33 289 | 99.00 406 | 94.83 410 | 98.58 259 | 99.14 282 |
|
| RPMNet | | | 96.72 375 | 95.90 388 | 99.19 212 | 99.18 323 | 98.49 255 | 99.22 341 | 99.52 128 | 88.72 456 | 99.56 157 | 97.38 453 | 94.08 299 | 99.95 75 | 86.87 461 | 98.58 259 | 99.14 282 |
|
| sc_t1 | | | 95.75 395 | 95.05 402 | 97.87 375 | 98.83 391 | 94.61 423 | 99.21 343 | 99.45 238 | 87.45 457 | 97.97 396 | 99.85 77 | 81.19 456 | 99.43 330 | 98.27 236 | 93.20 427 | 99.57 203 |
|
| WBMVS | | | 97.74 315 | 97.50 309 | 98.46 320 | 99.24 308 | 97.43 313 | 99.21 343 | 99.42 260 | 97.45 280 | 98.96 301 | 99.41 326 | 88.83 403 | 99.23 366 | 98.94 138 | 96.02 368 | 98.71 333 |
|
| plane_prior | | | | | | | 96.97 345 | 99.21 343 | | 98.45 128 | | | | | | 97.60 316 | |
|
| IMVS_0404 | | | 98.53 212 | 98.52 210 | 98.55 307 | 99.55 202 | 96.93 348 | 99.20 346 | 99.44 247 | 98.05 199 | 98.96 301 | 99.80 142 | 94.66 271 | 99.13 386 | 98.15 248 | 98.92 234 | 99.60 185 |
|
| tt0320-xc | | | 95.31 403 | 94.59 407 | 97.45 400 | 98.92 376 | 94.73 418 | 99.20 346 | 99.31 324 | 86.74 459 | 97.23 416 | 99.72 199 | 81.14 457 | 98.95 418 | 97.08 344 | 91.98 438 | 98.67 355 |
|
| testing91 | | | 97.44 351 | 97.02 360 | 98.71 288 | 99.18 323 | 96.89 355 | 99.19 348 | 99.04 373 | 97.78 239 | 98.31 376 | 98.29 437 | 85.41 436 | 99.85 185 | 98.01 263 | 97.95 299 | 99.39 257 |
|
| WR-MVS | | | 98.06 255 | 97.73 284 | 99.06 225 | 98.86 387 | 99.25 144 | 99.19 348 | 99.35 297 | 97.30 296 | 98.66 345 | 99.43 320 | 93.94 304 | 99.21 375 | 98.58 200 | 94.28 410 | 98.71 333 |
|
| new-patchmatchnet | | | 94.48 411 | 94.08 412 | 95.67 428 | 95.08 464 | 92.41 447 | 99.18 350 | 99.28 335 | 94.55 423 | 93.49 451 | 97.37 454 | 87.86 420 | 97.01 457 | 91.57 441 | 88.36 453 | 97.61 446 |
|
| AdaColmap |  | | 99.01 156 | 98.80 169 | 99.66 89 | 99.56 198 | 99.54 96 | 99.18 350 | 99.70 17 | 98.18 171 | 99.35 215 | 99.63 250 | 96.32 184 | 99.90 146 | 97.48 316 | 99.77 135 | 99.55 207 |
|
| EG-PatchMatch MVS | | | 95.97 391 | 95.69 392 | 96.81 418 | 97.78 439 | 92.79 445 | 99.16 352 | 98.93 385 | 96.16 387 | 94.08 447 | 99.22 374 | 82.72 449 | 99.47 317 | 95.67 393 | 97.50 327 | 98.17 422 |
|
| PatchT | | | 97.03 369 | 96.44 375 | 98.79 278 | 98.99 366 | 98.34 265 | 99.16 352 | 99.07 369 | 92.13 443 | 99.52 168 | 97.31 456 | 94.54 279 | 98.98 408 | 88.54 452 | 98.73 251 | 99.03 298 |
|
| CNLPA | | | 99.14 116 | 98.99 128 | 99.59 111 | 99.58 189 | 99.41 118 | 99.16 352 | 99.44 247 | 98.45 128 | 99.19 257 | 99.49 302 | 98.08 108 | 99.89 161 | 97.73 292 | 99.75 140 | 99.48 233 |
|
| MDA-MVSNet-bldmvs | | | 94.96 406 | 93.98 413 | 97.92 371 | 98.24 433 | 97.27 319 | 99.15 355 | 99.33 310 | 93.80 428 | 80.09 470 | 99.03 394 | 88.31 413 | 97.86 448 | 93.49 426 | 94.36 409 | 98.62 377 |
|
| CDPH-MVS | | | 99.13 118 | 98.91 148 | 99.80 63 | 99.75 90 | 99.71 57 | 99.15 355 | 99.41 263 | 96.60 356 | 99.60 149 | 99.55 279 | 98.83 46 | 99.90 146 | 97.48 316 | 99.83 111 | 99.78 97 |
|
| save fliter | | | | | | 99.76 80 | 99.59 86 | 99.14 357 | 99.40 270 | 99.00 65 | | | | | | | |
|
| WB-MVSnew | | | 97.65 332 | 97.65 292 | 97.63 391 | 98.78 397 | 97.62 307 | 99.13 358 | 98.33 437 | 97.36 291 | 99.07 279 | 98.94 406 | 95.64 218 | 99.15 381 | 92.95 432 | 98.68 254 | 96.12 461 |
|
| testf1 | | | 90.42 427 | 90.68 428 | 89.65 448 | 97.78 439 | 73.97 476 | 99.13 358 | 98.81 407 | 89.62 451 | 91.80 459 | 98.93 407 | 62.23 467 | 98.80 427 | 86.61 462 | 91.17 441 | 96.19 459 |
|
| APD_test2 | | | 90.42 427 | 90.68 428 | 89.65 448 | 97.78 439 | 73.97 476 | 99.13 358 | 98.81 407 | 89.62 451 | 91.80 459 | 98.93 407 | 62.23 467 | 98.80 427 | 86.61 462 | 91.17 441 | 96.19 459 |
|
| xiu_mvs_v1_base_debu | | | 99.29 83 | 99.27 72 | 99.34 181 | 99.63 161 | 98.97 181 | 99.12 361 | 99.51 147 | 98.86 82 | 99.84 54 | 99.47 311 | 98.18 103 | 99.99 4 | 99.50 56 | 99.31 189 | 99.08 290 |
|
| xiu_mvs_v1_base | | | 99.29 83 | 99.27 72 | 99.34 181 | 99.63 161 | 98.97 181 | 99.12 361 | 99.51 147 | 98.86 82 | 99.84 54 | 99.47 311 | 98.18 103 | 99.99 4 | 99.50 56 | 99.31 189 | 99.08 290 |
|
| xiu_mvs_v1_base_debi | | | 99.29 83 | 99.27 72 | 99.34 181 | 99.63 161 | 98.97 181 | 99.12 361 | 99.51 147 | 98.86 82 | 99.84 54 | 99.47 311 | 98.18 103 | 99.99 4 | 99.50 56 | 99.31 189 | 99.08 290 |
|
| XVG-OURS-SEG-HR | | | 98.69 202 | 98.62 198 | 98.89 256 | 99.71 115 | 97.74 298 | 99.12 361 | 99.54 107 | 98.44 131 | 99.42 190 | 99.71 202 | 94.20 293 | 99.92 121 | 98.54 210 | 98.90 240 | 99.00 301 |
|
| jason | | | 99.13 118 | 99.03 114 | 99.45 159 | 99.46 243 | 98.87 206 | 99.12 361 | 99.26 339 | 98.03 208 | 99.79 74 | 99.65 238 | 97.02 146 | 99.85 185 | 99.02 127 | 99.90 56 | 99.65 165 |
| jason: jason. |
| N_pmnet | | | 94.95 407 | 95.83 390 | 92.31 439 | 98.47 428 | 79.33 471 | 99.12 361 | 92.81 477 | 93.87 427 | 97.68 406 | 99.13 384 | 93.87 308 | 99.01 405 | 91.38 442 | 96.19 365 | 98.59 390 |
|
| MDA-MVSNet_test_wron | | | 95.45 399 | 94.60 406 | 98.01 362 | 98.16 434 | 97.21 324 | 99.11 367 | 99.24 344 | 93.49 432 | 80.73 469 | 98.98 402 | 93.02 325 | 98.18 439 | 94.22 418 | 94.45 407 | 98.64 368 |
|
| Patchmtry | | | 97.75 313 | 97.40 329 | 98.81 275 | 99.10 344 | 98.87 206 | 99.11 367 | 99.33 310 | 94.83 417 | 98.81 325 | 99.38 337 | 94.33 289 | 99.02 403 | 96.10 380 | 95.57 385 | 98.53 394 |
|
| YYNet1 | | | 95.36 401 | 94.51 409 | 97.92 371 | 97.89 437 | 97.10 328 | 99.10 369 | 99.23 345 | 93.26 435 | 80.77 468 | 99.04 393 | 92.81 331 | 98.02 443 | 94.30 414 | 94.18 412 | 98.64 368 |
|
| CANet_DTU | | | 98.97 162 | 98.87 158 | 99.25 204 | 99.33 281 | 98.42 263 | 99.08 370 | 99.30 329 | 99.16 35 | 99.43 187 | 99.75 184 | 95.27 232 | 99.97 28 | 98.56 206 | 99.95 22 | 99.36 262 |
|
| icg_test_0407_2 | | | 98.79 191 | 98.86 161 | 98.57 301 | 99.55 202 | 96.93 348 | 99.07 371 | 99.44 247 | 98.05 199 | 99.66 120 | 99.80 142 | 97.13 137 | 99.18 378 | 98.15 248 | 98.92 234 | 99.60 185 |
|
| SCA | | | 98.19 240 | 98.16 230 | 98.27 345 | 99.30 290 | 95.55 396 | 99.07 371 | 98.97 381 | 97.57 264 | 99.43 187 | 99.57 273 | 92.72 335 | 99.74 253 | 97.58 304 | 99.20 200 | 99.52 216 |
|
| TSAR-MVS + GP. | | | 99.36 71 | 99.36 45 | 99.36 178 | 99.67 132 | 98.61 240 | 99.07 371 | 99.33 310 | 99.00 65 | 99.82 66 | 99.81 124 | 99.06 17 | 99.84 194 | 99.09 118 | 99.42 179 | 99.65 165 |
|
| MG-MVS | | | 99.13 118 | 99.02 120 | 99.45 159 | 99.57 194 | 98.63 236 | 99.07 371 | 99.34 302 | 98.99 67 | 99.61 146 | 99.82 109 | 97.98 112 | 99.87 173 | 97.00 347 | 99.80 123 | 99.85 46 |
|
| PatchMatch-RL | | | 98.84 186 | 98.62 198 | 99.52 137 | 99.71 115 | 99.28 139 | 99.06 375 | 99.77 11 | 97.74 245 | 99.50 171 | 99.53 288 | 95.41 225 | 99.84 194 | 97.17 340 | 99.64 160 | 99.44 249 |
|
| OpenMVS_ROB |  | 92.34 20 | 94.38 412 | 93.70 418 | 96.41 423 | 97.38 445 | 93.17 443 | 99.06 375 | 98.75 414 | 86.58 460 | 94.84 445 | 98.26 438 | 81.53 454 | 99.32 351 | 89.01 450 | 97.87 304 | 96.76 454 |
|
| TEST9 | | | | | | 99.67 132 | 99.65 73 | 99.05 377 | 99.41 263 | 96.22 382 | 98.95 303 | 99.49 302 | 98.77 55 | 99.91 133 | | | |
|
| train_agg | | | 99.02 152 | 98.77 173 | 99.77 72 | 99.67 132 | 99.65 73 | 99.05 377 | 99.41 263 | 96.28 376 | 98.95 303 | 99.49 302 | 98.76 56 | 99.91 133 | 97.63 300 | 99.72 146 | 99.75 108 |
|
| lupinMVS | | | 99.13 118 | 99.01 125 | 99.46 158 | 99.51 219 | 98.94 195 | 99.05 377 | 99.16 356 | 97.86 224 | 99.80 72 | 99.56 276 | 97.39 124 | 99.86 179 | 98.94 138 | 99.85 92 | 99.58 200 |
|
| DELS-MVS | | | 99.48 36 | 99.42 31 | 99.65 93 | 99.72 109 | 99.40 119 | 99.05 377 | 99.66 31 | 99.14 38 | 99.57 156 | 99.80 142 | 98.46 86 | 99.94 90 | 99.57 47 | 99.84 100 | 99.60 185 |
| Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023 |
| new_pmnet | | | 96.38 383 | 96.03 385 | 97.41 401 | 98.13 435 | 95.16 411 | 99.05 377 | 99.20 351 | 93.94 426 | 97.39 413 | 98.79 418 | 91.61 370 | 99.04 399 | 90.43 445 | 95.77 377 | 98.05 430 |
|
| Patchmatch-test | | | 97.93 278 | 97.65 292 | 98.77 281 | 99.18 323 | 97.07 332 | 99.03 382 | 99.14 359 | 96.16 387 | 98.74 333 | 99.57 273 | 94.56 276 | 99.72 263 | 93.36 427 | 99.11 213 | 99.52 216 |
|
| test_8 | | | | | | 99.67 132 | 99.61 83 | 99.03 382 | 99.41 263 | 96.28 376 | 98.93 306 | 99.48 308 | 98.76 56 | 99.91 133 | | | |
|
| Test_1112_low_res | | | 98.89 167 | 98.66 188 | 99.57 118 | 99.69 125 | 98.95 191 | 99.03 382 | 99.47 216 | 96.98 326 | 99.15 264 | 99.23 373 | 96.77 162 | 99.89 161 | 98.83 163 | 98.78 249 | 99.86 42 |
|
| IterMVS-SCA-FT | | | 97.82 301 | 97.75 282 | 98.06 358 | 99.57 194 | 96.36 376 | 99.02 385 | 99.49 182 | 97.18 306 | 98.71 336 | 99.72 199 | 92.72 335 | 99.14 383 | 97.44 321 | 95.86 376 | 98.67 355 |
|
| xiu_mvs_v2_base | | | 99.26 90 | 99.25 76 | 99.29 197 | 99.53 210 | 98.91 200 | 99.02 385 | 99.45 238 | 98.80 92 | 99.71 103 | 99.26 370 | 98.94 33 | 99.98 19 | 99.34 80 | 99.23 198 | 98.98 304 |
|
| MIMVSNet | | | 97.73 317 | 97.45 317 | 98.57 301 | 99.45 249 | 97.50 311 | 99.02 385 | 98.98 380 | 96.11 392 | 99.41 195 | 99.14 383 | 90.28 385 | 98.74 429 | 95.74 389 | 98.93 232 | 99.47 239 |
|
| IterMVS | | | 97.83 298 | 97.77 277 | 98.02 361 | 99.58 189 | 96.27 380 | 99.02 385 | 99.48 194 | 97.22 304 | 98.71 336 | 99.70 206 | 92.75 332 | 99.13 386 | 97.46 319 | 96.00 370 | 98.67 355 |
| Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
| HyFIR lowres test | | | 99.11 131 | 98.92 145 | 99.65 93 | 99.90 4 | 99.37 121 | 99.02 385 | 99.91 3 | 97.67 254 | 99.59 152 | 99.75 184 | 95.90 204 | 99.73 259 | 99.53 52 | 99.02 227 | 99.86 42 |
|
| UWE-MVS | | | 97.58 337 | 97.29 345 | 98.48 314 | 99.09 347 | 96.25 381 | 99.01 390 | 96.61 463 | 97.86 224 | 99.19 257 | 99.01 397 | 88.72 404 | 99.90 146 | 97.38 325 | 98.69 253 | 99.28 271 |
|
| æ–°å‡ ä½•2 | | | | | | | | 99.01 390 | | | | | | | | | |
|
| BH-w/o | | | 98.00 270 | 97.89 266 | 98.32 337 | 99.35 275 | 96.20 383 | 99.01 390 | 98.90 395 | 96.42 370 | 98.38 372 | 99.00 398 | 95.26 234 | 99.72 263 | 96.06 381 | 98.61 256 | 99.03 298 |
|
| test_prior4 | | | | | | | 99.56 92 | 98.99 393 | | | | | | | | | |
|
| æ— å…ˆéªŒ | | | | | | | | 98.99 393 | 99.51 147 | 96.89 334 | | | | 99.93 108 | 97.53 312 | | 99.72 130 |
|
| pmmvs4 | | | 98.13 247 | 97.90 262 | 98.81 275 | 98.61 420 | 98.87 206 | 98.99 393 | 99.21 350 | 96.44 368 | 99.06 284 | 99.58 268 | 95.90 204 | 99.11 392 | 97.18 339 | 96.11 367 | 98.46 403 |
|
| HQP-NCC | | | | | | 99.19 320 | | 98.98 396 | | 98.24 160 | 98.66 345 | | | | | | |
|
| ACMP_Plane | | | | | | 99.19 320 | | 98.98 396 | | 98.24 160 | 98.66 345 | | | | | | |
|
| HQP-MVS | | | 98.02 265 | 97.90 262 | 98.37 333 | 99.19 320 | 96.83 356 | 98.98 396 | 99.39 273 | 98.24 160 | 98.66 345 | 99.40 330 | 92.47 346 | 99.64 296 | 97.19 337 | 97.58 318 | 98.64 368 |
|
| PS-MVSNAJ | | | 99.32 78 | 99.32 53 | 99.30 194 | 99.57 194 | 98.94 195 | 98.97 399 | 99.46 227 | 98.92 79 | 99.71 103 | 99.24 372 | 99.01 19 | 99.98 19 | 99.35 75 | 99.66 157 | 98.97 305 |
|
| MVP-Stereo | | | 97.81 303 | 97.75 282 | 97.99 365 | 97.53 443 | 96.60 369 | 98.96 400 | 98.85 402 | 97.22 304 | 97.23 416 | 99.36 343 | 95.28 231 | 99.46 319 | 95.51 395 | 99.78 132 | 97.92 441 |
| Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
| test_prior2 | | | | | | | | 98.96 400 | | 98.34 141 | 99.01 290 | 99.52 292 | 98.68 69 | | 97.96 266 | 99.74 143 | |
|
| 旧先验2 | | | | | | | | 98.96 400 | | 96.70 344 | 99.47 176 | | | 99.94 90 | 98.19 242 | | |
|
| 原ACMM2 | | | | | | | | 98.95 403 | | | | | | | | | |
|
| MVS_111021_HR | | | 99.41 58 | 99.32 53 | 99.66 89 | 99.72 109 | 99.47 111 | 98.95 403 | 99.85 8 | 98.82 87 | 99.54 164 | 99.73 195 | 98.51 83 | 99.74 253 | 98.91 144 | 99.88 74 | 99.77 99 |
|
| mvsany_test1 | | | 99.50 30 | 99.46 27 | 99.62 106 | 99.61 179 | 99.09 163 | 98.94 405 | 99.48 194 | 99.10 46 | 99.96 26 | 99.91 25 | 98.85 43 | 99.96 40 | 99.72 31 | 99.58 167 | 99.82 71 |
|
| MVS_111021_LR | | | 99.41 58 | 99.33 51 | 99.65 93 | 99.77 76 | 99.51 105 | 98.94 405 | 99.85 8 | 98.82 87 | 99.65 129 | 99.74 189 | 98.51 83 | 99.80 229 | 98.83 163 | 99.89 67 | 99.64 172 |
|
| pmmvs3 | | | 94.09 414 | 93.25 421 | 96.60 421 | 94.76 466 | 94.49 425 | 98.92 407 | 98.18 444 | 89.66 450 | 96.48 430 | 98.06 447 | 86.28 430 | 97.33 454 | 89.68 448 | 87.20 456 | 97.97 438 |
|
| XVG-OURS | | | 98.73 200 | 98.68 184 | 98.88 259 | 99.70 120 | 97.73 299 | 98.92 407 | 99.55 98 | 98.52 120 | 99.45 179 | 99.84 92 | 95.27 232 | 99.91 133 | 98.08 257 | 98.84 244 | 99.00 301 |
|
| test222 | | | | | | 99.75 90 | 99.49 107 | 98.91 409 | 99.49 182 | 96.42 370 | 99.34 219 | 99.65 238 | 98.28 99 | | | 99.69 151 | 99.72 130 |
|
| PMMVS2 | | | 86.87 430 | 85.37 434 | 91.35 443 | 90.21 472 | 83.80 462 | 98.89 410 | 97.45 455 | 83.13 464 | 91.67 461 | 95.03 461 | 48.49 473 | 94.70 467 | 85.86 464 | 77.62 466 | 95.54 462 |
|
| miper_lstm_enhance | | | 98.00 270 | 97.91 261 | 98.28 344 | 99.34 280 | 97.43 313 | 98.88 411 | 99.36 290 | 96.48 365 | 98.80 327 | 99.55 279 | 95.98 197 | 98.91 421 | 97.27 330 | 95.50 388 | 98.51 396 |
|
| MVS-HIRNet | | | 95.75 395 | 95.16 400 | 97.51 398 | 99.30 290 | 93.69 437 | 98.88 411 | 95.78 465 | 85.09 462 | 98.78 330 | 92.65 465 | 91.29 376 | 99.37 339 | 94.85 409 | 99.85 92 | 99.46 244 |
|
| TR-MVS | | | 97.76 309 | 97.41 328 | 98.82 272 | 99.06 353 | 97.87 293 | 98.87 413 | 98.56 431 | 96.63 352 | 98.68 344 | 99.22 374 | 92.49 345 | 99.65 292 | 95.40 399 | 97.79 308 | 98.95 309 |
|
| testdata1 | | | | | | | | 98.85 414 | | 98.32 145 | | | | | | | |
|
| ET-MVSNet_ETH3D | | | 96.49 380 | 95.64 394 | 99.05 227 | 99.53 210 | 98.82 218 | 98.84 415 | 97.51 454 | 97.63 257 | 84.77 463 | 99.21 377 | 92.09 355 | 98.91 421 | 98.98 130 | 92.21 437 | 99.41 254 |
|
| our_test_3 | | | 97.65 332 | 97.68 289 | 97.55 397 | 98.62 418 | 94.97 414 | 98.84 415 | 99.30 329 | 96.83 339 | 98.19 385 | 99.34 350 | 97.01 148 | 99.02 403 | 95.00 407 | 96.01 369 | 98.64 368 |
|
| MS-PatchMatch | | | 97.24 363 | 97.32 341 | 96.99 411 | 98.45 429 | 93.51 441 | 98.82 417 | 99.32 320 | 97.41 287 | 98.13 388 | 99.30 361 | 88.99 401 | 99.56 310 | 95.68 392 | 99.80 123 | 97.90 442 |
|
| c3_l | | | 98.12 249 | 98.04 247 | 98.38 332 | 99.30 290 | 97.69 305 | 98.81 418 | 99.33 310 | 96.67 346 | 98.83 322 | 99.34 350 | 97.11 140 | 98.99 407 | 97.58 304 | 95.34 390 | 98.48 398 |
|
| ppachtmachnet_test | | | 97.49 349 | 97.45 317 | 97.61 395 | 98.62 418 | 95.24 407 | 98.80 419 | 99.46 227 | 96.11 392 | 98.22 383 | 99.62 255 | 96.45 178 | 98.97 415 | 93.77 421 | 95.97 374 | 98.61 386 |
|
| PAPR | | | 98.63 209 | 98.34 220 | 99.51 142 | 99.40 263 | 99.03 172 | 98.80 419 | 99.36 290 | 96.33 373 | 99.00 294 | 99.12 387 | 98.46 86 | 99.84 194 | 95.23 403 | 99.37 188 | 99.66 159 |
|
| test0.0.03 1 | | | 97.71 322 | 97.42 327 | 98.56 305 | 98.41 431 | 97.82 296 | 98.78 421 | 98.63 429 | 97.34 292 | 98.05 393 | 98.98 402 | 94.45 284 | 98.98 408 | 95.04 406 | 97.15 348 | 98.89 310 |
|
| PVSNet_Blended | | | 99.08 139 | 98.97 132 | 99.42 169 | 99.76 80 | 98.79 221 | 98.78 421 | 99.91 3 | 96.74 341 | 99.67 115 | 99.49 302 | 97.53 121 | 99.88 166 | 98.98 130 | 99.85 92 | 99.60 185 |
|
| PMMVS | | | 98.80 190 | 98.62 198 | 99.34 181 | 99.27 299 | 98.70 229 | 98.76 423 | 99.31 324 | 97.34 292 | 99.21 251 | 99.07 389 | 97.20 135 | 99.82 217 | 98.56 206 | 98.87 241 | 99.52 216 |
|
| test123 | | | 39.01 442 | 42.50 444 | 28.53 458 | 39.17 481 | 20.91 483 | 98.75 424 | 19.17 483 | 19.83 476 | 38.57 475 | 66.67 473 | 33.16 477 | 15.42 477 | 37.50 477 | 29.66 475 | 49.26 472 |
|
| MSDG | | | 98.98 160 | 98.80 169 | 99.53 131 | 99.76 80 | 99.19 148 | 98.75 424 | 99.55 98 | 97.25 300 | 99.47 176 | 99.77 175 | 97.82 115 | 99.87 173 | 96.93 354 | 99.90 56 | 99.54 209 |
|
| CLD-MVS | | | 98.16 244 | 98.10 238 | 98.33 335 | 99.29 294 | 96.82 358 | 98.75 424 | 99.44 247 | 97.83 231 | 99.13 266 | 99.55 279 | 92.92 328 | 99.67 284 | 98.32 233 | 97.69 311 | 98.48 398 |
| Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
| miper_ehance_all_eth | | | 98.18 242 | 98.10 238 | 98.41 328 | 99.23 310 | 97.72 301 | 98.72 427 | 99.31 324 | 96.60 356 | 98.88 313 | 99.29 363 | 97.29 131 | 99.13 386 | 97.60 302 | 95.99 371 | 98.38 411 |
|
| cl____ | | | 98.01 268 | 97.84 270 | 98.55 307 | 99.25 306 | 97.97 284 | 98.71 428 | 99.34 302 | 96.47 367 | 98.59 361 | 99.54 284 | 95.65 217 | 99.21 375 | 97.21 333 | 95.77 377 | 98.46 403 |
|
| DIV-MVS_self_test | | | 98.01 268 | 97.85 269 | 98.48 314 | 99.24 308 | 97.95 289 | 98.71 428 | 99.35 297 | 96.50 361 | 98.60 360 | 99.54 284 | 95.72 215 | 99.03 401 | 97.21 333 | 95.77 377 | 98.46 403 |
|
| test-LLR | | | 98.06 255 | 97.90 262 | 98.55 307 | 98.79 394 | 97.10 328 | 98.67 430 | 97.75 449 | 97.34 292 | 98.61 358 | 98.85 412 | 94.45 284 | 99.45 321 | 97.25 331 | 99.38 181 | 99.10 285 |
|
| TESTMET0.1,1 | | | 97.55 338 | 97.27 349 | 98.40 330 | 98.93 374 | 96.53 370 | 98.67 430 | 97.61 452 | 96.96 328 | 98.64 352 | 99.28 365 | 88.63 410 | 99.45 321 | 97.30 329 | 99.38 181 | 99.21 280 |
|
| test-mter | | | 97.49 349 | 97.13 356 | 98.55 307 | 98.79 394 | 97.10 328 | 98.67 430 | 97.75 449 | 96.65 348 | 98.61 358 | 98.85 412 | 88.23 414 | 99.45 321 | 97.25 331 | 99.38 181 | 99.10 285 |
|
| mvs5depth | | | 96.66 376 | 96.22 380 | 97.97 366 | 97.00 454 | 96.28 379 | 98.66 433 | 99.03 375 | 96.61 353 | 96.93 426 | 99.79 159 | 87.20 424 | 99.47 317 | 96.65 369 | 94.13 413 | 98.16 423 |
|
| IB-MVS | | 95.67 18 | 96.22 384 | 95.44 398 | 98.57 301 | 99.21 315 | 96.70 361 | 98.65 434 | 97.74 451 | 96.71 343 | 97.27 415 | 98.54 427 | 86.03 431 | 99.92 121 | 98.47 216 | 86.30 457 | 99.10 285 |
| Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021 |
| DPM-MVS | | | 98.95 163 | 98.71 181 | 99.66 89 | 99.63 161 | 99.55 94 | 98.64 435 | 99.10 363 | 97.93 217 | 99.42 190 | 99.55 279 | 98.67 71 | 99.80 229 | 95.80 388 | 99.68 154 | 99.61 182 |
|
| thisisatest0515 | | | 98.14 246 | 97.79 272 | 99.19 212 | 99.50 231 | 98.50 254 | 98.61 436 | 96.82 459 | 96.95 330 | 99.54 164 | 99.43 320 | 91.66 368 | 99.86 179 | 98.08 257 | 99.51 172 | 99.22 279 |
|
| DeepPCF-MVS | | 98.18 3 | 98.81 187 | 99.37 43 | 97.12 409 | 99.60 185 | 91.75 450 | 98.61 436 | 99.44 247 | 99.35 24 | 99.83 62 | 99.85 77 | 98.70 68 | 99.81 222 | 99.02 127 | 99.91 45 | 99.81 78 |
|
| cl22 | | | 97.85 291 | 97.64 295 | 98.48 314 | 99.09 347 | 97.87 293 | 98.60 438 | 99.33 310 | 97.11 315 | 98.87 316 | 99.22 374 | 92.38 351 | 99.17 380 | 98.21 240 | 95.99 371 | 98.42 406 |
|
| GA-MVS | | | 97.85 291 | 97.47 314 | 99.00 233 | 99.38 268 | 97.99 283 | 98.57 439 | 99.15 357 | 97.04 323 | 98.90 310 | 99.30 361 | 89.83 393 | 99.38 336 | 96.70 364 | 98.33 274 | 99.62 180 |
|
| TinyColmap | | | 97.12 366 | 96.89 365 | 97.83 380 | 99.07 351 | 95.52 399 | 98.57 439 | 98.74 417 | 97.58 263 | 97.81 404 | 99.79 159 | 88.16 415 | 99.56 310 | 95.10 404 | 97.21 345 | 98.39 410 |
|
| eth_miper_zixun_eth | | | 98.05 260 | 97.96 255 | 98.33 335 | 99.26 302 | 97.38 315 | 98.56 441 | 99.31 324 | 96.65 348 | 98.88 313 | 99.52 292 | 96.58 171 | 99.12 391 | 97.39 324 | 95.53 387 | 98.47 400 |
|
| CMPMVS |  | 69.68 23 | 94.13 413 | 94.90 404 | 91.84 440 | 97.24 449 | 80.01 470 | 98.52 442 | 99.48 194 | 89.01 454 | 91.99 457 | 99.67 231 | 85.67 433 | 99.13 386 | 95.44 397 | 97.03 350 | 96.39 458 |
| M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
| USDC | | | 97.34 356 | 97.20 351 | 97.75 385 | 99.07 351 | 95.20 408 | 98.51 443 | 99.04 373 | 97.99 212 | 98.31 376 | 99.86 70 | 89.02 400 | 99.55 312 | 95.67 393 | 97.36 340 | 98.49 397 |
|
| ambc | | | | | 93.06 438 | 92.68 469 | 82.36 463 | 98.47 444 | 98.73 423 | | 95.09 443 | 97.41 452 | 55.55 469 | 99.10 394 | 96.42 374 | 91.32 440 | 97.71 443 |
|
| miper_enhance_ethall | | | 98.16 244 | 98.08 242 | 98.41 328 | 98.96 372 | 97.72 301 | 98.45 445 | 99.32 320 | 96.95 330 | 98.97 299 | 99.17 379 | 97.06 144 | 99.22 370 | 97.86 274 | 95.99 371 | 98.29 415 |
|
| CHOSEN 280x420 | | | 99.12 125 | 99.13 93 | 99.08 222 | 99.66 145 | 97.89 292 | 98.43 446 | 99.71 15 | 98.88 81 | 99.62 141 | 99.76 179 | 96.63 168 | 99.70 276 | 99.46 66 | 99.99 1 | 99.66 159 |
|
| testmvs | | | 39.17 441 | 43.78 443 | 25.37 459 | 36.04 482 | 16.84 484 | 98.36 447 | 26.56 481 | 20.06 475 | 38.51 476 | 67.32 472 | 29.64 478 | 15.30 478 | 37.59 476 | 39.90 474 | 43.98 473 |
|
| FPMVS | | | 84.93 432 | 85.65 433 | 82.75 454 | 86.77 475 | 63.39 480 | 98.35 448 | 98.92 388 | 74.11 466 | 83.39 465 | 98.98 402 | 50.85 472 | 92.40 469 | 84.54 465 | 94.97 398 | 92.46 464 |
|
| KD-MVS_2432*1600 | | | 94.62 408 | 93.72 416 | 97.31 403 | 97.19 451 | 95.82 390 | 98.34 449 | 99.20 351 | 95.00 413 | 97.57 407 | 98.35 434 | 87.95 417 | 98.10 441 | 92.87 434 | 77.00 467 | 98.01 432 |
|
| miper_refine_blended | | | 94.62 408 | 93.72 416 | 97.31 403 | 97.19 451 | 95.82 390 | 98.34 449 | 99.20 351 | 95.00 413 | 97.57 407 | 98.35 434 | 87.95 417 | 98.10 441 | 92.87 434 | 77.00 467 | 98.01 432 |
|
| CL-MVSNet_self_test | | | 94.49 410 | 93.97 414 | 96.08 426 | 96.16 456 | 93.67 438 | 98.33 451 | 99.38 281 | 95.13 407 | 97.33 414 | 98.15 441 | 92.69 339 | 96.57 459 | 88.67 451 | 79.87 465 | 97.99 436 |
|
| PVSNet | | 96.02 17 | 98.85 183 | 98.84 166 | 98.89 256 | 99.73 105 | 97.28 318 | 98.32 452 | 99.60 66 | 97.86 224 | 99.50 171 | 99.57 273 | 96.75 163 | 99.86 179 | 98.56 206 | 99.70 150 | 99.54 209 |
|
| PAPM | | | 97.59 336 | 97.09 358 | 99.07 223 | 99.06 353 | 98.26 268 | 98.30 453 | 99.10 363 | 94.88 415 | 98.08 389 | 99.34 350 | 96.27 186 | 99.64 296 | 89.87 447 | 98.92 234 | 99.31 269 |
|
| Patchmatch-RL test | | | 95.84 393 | 95.81 391 | 95.95 427 | 95.61 459 | 90.57 453 | 98.24 454 | 98.39 435 | 95.10 411 | 95.20 441 | 98.67 422 | 94.78 258 | 97.77 449 | 96.28 379 | 90.02 448 | 99.51 225 |
|
| UnsupCasMVSNet_bld | | | 93.53 417 | 92.51 423 | 96.58 422 | 97.38 445 | 93.82 433 | 98.24 454 | 99.48 194 | 91.10 448 | 93.10 452 | 96.66 458 | 74.89 461 | 98.37 436 | 94.03 420 | 87.71 455 | 97.56 448 |
|
| LCM-MVSNet | | | 86.80 431 | 85.22 435 | 91.53 442 | 87.81 474 | 80.96 468 | 98.23 456 | 98.99 379 | 71.05 467 | 90.13 462 | 96.51 459 | 48.45 474 | 96.88 458 | 90.51 444 | 85.30 458 | 96.76 454 |
|
| cascas | | | 97.69 324 | 97.43 326 | 98.48 314 | 98.60 421 | 97.30 317 | 98.18 457 | 99.39 273 | 92.96 438 | 98.41 370 | 98.78 419 | 93.77 312 | 99.27 359 | 98.16 246 | 98.61 256 | 98.86 311 |
|
| kuosan | | | 90.92 426 | 90.11 431 | 93.34 435 | 98.78 397 | 85.59 460 | 98.15 458 | 93.16 475 | 89.37 453 | 92.07 456 | 98.38 433 | 81.48 455 | 95.19 465 | 62.54 474 | 97.04 349 | 99.25 276 |
|
| Effi-MVS+ | | | 98.81 187 | 98.59 204 | 99.48 151 | 99.46 243 | 99.12 161 | 98.08 459 | 99.50 170 | 97.50 275 | 99.38 204 | 99.41 326 | 96.37 183 | 99.81 222 | 99.11 114 | 98.54 264 | 99.51 225 |
|
| PCF-MVS | | 97.08 14 | 97.66 331 | 97.06 359 | 99.47 156 | 99.61 179 | 99.09 163 | 98.04 460 | 99.25 341 | 91.24 447 | 98.51 365 | 99.70 206 | 94.55 278 | 99.91 133 | 92.76 436 | 99.85 92 | 99.42 251 |
| Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
| PVSNet_0 | | 94.43 19 | 96.09 389 | 95.47 396 | 97.94 369 | 99.31 289 | 94.34 430 | 97.81 461 | 99.70 17 | 97.12 312 | 97.46 409 | 98.75 420 | 89.71 394 | 99.79 235 | 97.69 298 | 81.69 463 | 99.68 151 |
|
| E-PMN | | | 80.61 435 | 79.88 437 | 82.81 453 | 90.75 471 | 76.38 474 | 97.69 462 | 95.76 466 | 66.44 471 | 83.52 464 | 92.25 466 | 62.54 466 | 87.16 473 | 68.53 472 | 61.40 470 | 84.89 471 |
|
| dongtai | | | 93.26 418 | 92.93 422 | 94.25 431 | 99.39 266 | 85.68 459 | 97.68 463 | 93.27 473 | 92.87 439 | 96.85 427 | 99.39 334 | 82.33 452 | 97.48 453 | 76.78 467 | 97.80 307 | 99.58 200 |
|
| ANet_high | | | 77.30 437 | 74.86 441 | 84.62 452 | 75.88 478 | 77.61 472 | 97.63 464 | 93.15 476 | 88.81 455 | 64.27 473 | 89.29 470 | 36.51 476 | 83.93 475 | 75.89 469 | 52.31 472 | 92.33 466 |
|
| EMVS | | | 80.02 436 | 79.22 438 | 82.43 455 | 91.19 470 | 76.40 473 | 97.55 465 | 92.49 478 | 66.36 472 | 83.01 466 | 91.27 468 | 64.63 465 | 85.79 474 | 65.82 473 | 60.65 471 | 85.08 470 |
|
| MVE |  | 76.82 21 | 76.91 438 | 74.31 442 | 84.70 451 | 85.38 477 | 76.05 475 | 96.88 466 | 93.17 474 | 67.39 470 | 71.28 472 | 89.01 471 | 21.66 481 | 87.69 472 | 71.74 471 | 72.29 469 | 90.35 468 |
| Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
| test_method | | | 91.10 424 | 91.36 426 | 90.31 445 | 95.85 457 | 73.72 478 | 94.89 467 | 99.25 341 | 68.39 469 | 95.82 437 | 99.02 396 | 80.50 458 | 98.95 418 | 93.64 424 | 94.89 402 | 98.25 418 |
|
| Gipuma |  | | 90.99 425 | 90.15 430 | 93.51 434 | 98.73 406 | 90.12 454 | 93.98 468 | 99.45 238 | 79.32 465 | 92.28 455 | 94.91 462 | 69.61 462 | 97.98 445 | 87.42 458 | 95.67 381 | 92.45 465 |
| S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
| PMVS |  | 70.75 22 | 75.98 439 | 74.97 440 | 79.01 456 | 70.98 479 | 55.18 481 | 93.37 469 | 98.21 442 | 65.08 473 | 61.78 474 | 93.83 464 | 21.74 480 | 92.53 468 | 78.59 466 | 91.12 443 | 89.34 469 |
| Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
| tmp_tt | | | 82.80 433 | 81.52 436 | 86.66 450 | 66.61 480 | 68.44 479 | 92.79 470 | 97.92 446 | 68.96 468 | 80.04 471 | 99.85 77 | 85.77 432 | 96.15 463 | 97.86 274 | 43.89 473 | 95.39 463 |
|
| wuyk23d | | | 40.18 440 | 41.29 445 | 36.84 457 | 86.18 476 | 49.12 482 | 79.73 471 | 22.81 482 | 27.64 474 | 25.46 477 | 28.45 477 | 21.98 479 | 48.89 476 | 55.80 475 | 23.56 476 | 12.51 474 |
|
| mmdepth | | | 0.02 447 | 0.03 450 | 0.00 460 | 0.00 483 | 0.00 485 | 0.00 472 | 0.00 484 | 0.00 478 | 0.00 479 | 0.27 479 | 0.00 482 | 0.00 479 | 0.00 478 | 0.00 477 | 0.00 475 |
|
| monomultidepth | | | 0.02 447 | 0.03 450 | 0.00 460 | 0.00 483 | 0.00 485 | 0.00 472 | 0.00 484 | 0.00 478 | 0.00 479 | 0.27 479 | 0.00 482 | 0.00 479 | 0.00 478 | 0.00 477 | 0.00 475 |
|
| test_blank | | | 0.13 446 | 0.17 449 | 0.00 460 | 0.00 483 | 0.00 485 | 0.00 472 | 0.00 484 | 0.00 478 | 0.00 479 | 1.57 478 | 0.00 482 | 0.00 479 | 0.00 478 | 0.00 477 | 0.00 475 |
|
| uanet_test | | | 0.02 447 | 0.03 450 | 0.00 460 | 0.00 483 | 0.00 485 | 0.00 472 | 0.00 484 | 0.00 478 | 0.00 479 | 0.27 479 | 0.00 482 | 0.00 479 | 0.00 478 | 0.00 477 | 0.00 475 |
|
| DCPMVS | | | 0.02 447 | 0.03 450 | 0.00 460 | 0.00 483 | 0.00 485 | 0.00 472 | 0.00 484 | 0.00 478 | 0.00 479 | 0.27 479 | 0.00 482 | 0.00 479 | 0.00 478 | 0.00 477 | 0.00 475 |
|
| cdsmvs_eth3d_5k | | | 24.64 443 | 32.85 446 | 0.00 460 | 0.00 483 | 0.00 485 | 0.00 472 | 99.51 147 | 0.00 478 | 0.00 479 | 99.56 276 | 96.58 171 | 0.00 479 | 0.00 478 | 0.00 477 | 0.00 475 |
|
| pcd_1.5k_mvsjas | | | 8.27 445 | 11.03 448 | 0.00 460 | 0.00 483 | 0.00 485 | 0.00 472 | 0.00 484 | 0.00 478 | 0.00 479 | 0.27 479 | 99.01 19 | 0.00 479 | 0.00 478 | 0.00 477 | 0.00 475 |
|
| sosnet-low-res | | | 0.02 447 | 0.03 450 | 0.00 460 | 0.00 483 | 0.00 485 | 0.00 472 | 0.00 484 | 0.00 478 | 0.00 479 | 0.27 479 | 0.00 482 | 0.00 479 | 0.00 478 | 0.00 477 | 0.00 475 |
|
| sosnet | | | 0.02 447 | 0.03 450 | 0.00 460 | 0.00 483 | 0.00 485 | 0.00 472 | 0.00 484 | 0.00 478 | 0.00 479 | 0.27 479 | 0.00 482 | 0.00 479 | 0.00 478 | 0.00 477 | 0.00 475 |
|
| uncertanet | | | 0.02 447 | 0.03 450 | 0.00 460 | 0.00 483 | 0.00 485 | 0.00 472 | 0.00 484 | 0.00 478 | 0.00 479 | 0.27 479 | 0.00 482 | 0.00 479 | 0.00 478 | 0.00 477 | 0.00 475 |
|
| Regformer | | | 0.02 447 | 0.03 450 | 0.00 460 | 0.00 483 | 0.00 485 | 0.00 472 | 0.00 484 | 0.00 478 | 0.00 479 | 0.27 479 | 0.00 482 | 0.00 479 | 0.00 478 | 0.00 477 | 0.00 475 |
|
| ab-mvs-re | | | 8.30 444 | 11.06 447 | 0.00 460 | 0.00 483 | 0.00 485 | 0.00 472 | 0.00 484 | 0.00 478 | 0.00 479 | 99.58 268 | 0.00 482 | 0.00 479 | 0.00 478 | 0.00 477 | 0.00 475 |
|
| uanet | | | 0.02 447 | 0.03 450 | 0.00 460 | 0.00 483 | 0.00 485 | 0.00 472 | 0.00 484 | 0.00 478 | 0.00 479 | 0.27 479 | 0.00 482 | 0.00 479 | 0.00 478 | 0.00 477 | 0.00 475 |
|
| WAC-MVS | | | | | | | 97.16 325 | | | | | | | | 95.47 396 | | |
|
| MSC_two_6792asdad | | | | | 99.87 21 | 99.51 219 | 99.76 48 | | 99.33 310 | | | | | 99.96 40 | 98.87 150 | 99.84 100 | 99.89 29 |
|
| PC_three_1452 | | | | | | | | | | 98.18 171 | 99.84 54 | 99.70 206 | 99.31 3 | 98.52 434 | 98.30 235 | 99.80 123 | 99.81 78 |
|
| No_MVS | | | | | 99.87 21 | 99.51 219 | 99.76 48 | | 99.33 310 | | | | | 99.96 40 | 98.87 150 | 99.84 100 | 99.89 29 |
|
| test_one_0601 | | | | | | 99.81 55 | 99.88 10 | | 99.49 182 | 98.97 73 | 99.65 129 | 99.81 124 | 99.09 15 | | | | |
|
| eth-test2 | | | | | | 0.00 483 | | | | | | | | | | | |
|
| eth-test | | | | | | 0.00 483 | | | | | | | | | | | |
|
| ZD-MVS | | | | | | 99.71 115 | 99.79 40 | | 99.61 59 | 96.84 337 | 99.56 157 | 99.54 284 | 98.58 77 | 99.96 40 | 96.93 354 | 99.75 140 | |
|
| IU-MVS | | | | | | 99.84 37 | 99.88 10 | | 99.32 320 | 98.30 147 | 99.84 54 | | | | 98.86 155 | 99.85 92 | 99.89 29 |
|
| test_241102_TWO | | | | | | | | | 99.48 194 | 99.08 54 | 99.88 41 | 99.81 124 | 98.94 33 | 99.96 40 | 98.91 144 | 99.84 100 | 99.88 35 |
|
| test_241102_ONE | | | | | | 99.84 37 | 99.90 3 | | 99.48 194 | 99.07 56 | 99.91 30 | 99.74 189 | 99.20 8 | 99.76 247 | | | |
|
| test_0728_THIRD | | | | | | | | | | 98.99 67 | 99.81 67 | 99.80 142 | 99.09 15 | 99.96 40 | 98.85 157 | 99.90 56 | 99.88 35 |
|
| GSMVS | | | | | | | | | | | | | | | | | 99.52 216 |
|
| test_part2 | | | | | | 99.81 55 | 99.83 22 | | | | 99.77 83 | | | | | | |
|
| sam_mvs1 | | | | | | | | | | | | | 94.86 253 | | | | 99.52 216 |
|
| sam_mvs | | | | | | | | | | | | | 94.72 265 | | | | |
|
| MTGPA |  | | | | | | | | 99.47 216 | | | | | | | | |
|
| test_post | | | | | | | | | | | | 65.99 474 | 94.65 272 | 99.73 259 | | | |
|
| patchmatchnet-post | | | | | | | | | | | | 98.70 421 | 94.79 257 | 99.74 253 | | | |
|
| gm-plane-assit | | | | | | 98.54 426 | 92.96 444 | | | 94.65 421 | | 99.15 382 | | 99.64 296 | 97.56 309 | | |
|
| test9_res | | | | | | | | | | | | | | | 97.49 315 | 99.72 146 | 99.75 108 |
|
| agg_prior2 | | | | | | | | | | | | | | | 97.21 333 | 99.73 145 | 99.75 108 |
|
| agg_prior | | | | | | 99.67 132 | 99.62 81 | | 99.40 270 | | 98.87 316 | | | 99.91 133 | | | |
|
| TestCases | | | | | 99.31 189 | 99.86 24 | 98.48 257 | | 99.61 59 | 97.85 227 | 99.36 212 | 99.85 77 | 95.95 199 | 99.85 185 | 96.66 367 | 99.83 111 | 99.59 196 |
|
| test_prior | | | | | 99.68 87 | 99.67 132 | 99.48 109 | | 99.56 89 | | | | | 99.83 208 | | | 99.74 112 |
|
| æ–°å‡ ä½•1 | | | | | 99.75 75 | 99.75 90 | 99.59 86 | | 99.54 107 | 96.76 340 | 99.29 229 | 99.64 244 | 98.43 88 | 99.94 90 | 96.92 356 | 99.66 157 | 99.72 130 |
|
| 旧先验1 | | | | | | 99.74 98 | 99.59 86 | | 99.54 107 | | | 99.69 217 | 98.47 85 | | | 99.68 154 | 99.73 121 |
|
| 原ACMM1 | | | | | 99.65 93 | 99.73 105 | 99.33 128 | | 99.47 216 | 97.46 277 | 99.12 268 | 99.66 236 | 98.67 71 | 99.91 133 | 97.70 297 | 99.69 151 | 99.71 139 |
|
| testdata2 | | | | | | | | | | | | | | 99.95 75 | 96.67 366 | | |
|
| segment_acmp | | | | | | | | | | | | | 98.96 26 | | | | |
|
| testdata | | | | | 99.54 123 | 99.75 90 | 98.95 191 | | 99.51 147 | 97.07 318 | 99.43 187 | 99.70 206 | 98.87 41 | 99.94 90 | 97.76 288 | 99.64 160 | 99.72 130 |
|
| test12 | | | | | 99.75 75 | 99.64 157 | 99.61 83 | | 99.29 333 | | 99.21 251 | | 98.38 94 | 99.89 161 | | 99.74 143 | 99.74 112 |
|
| plane_prior7 | | | | | | 99.29 294 | 97.03 340 | | | | | | | | | | |
|
| plane_prior6 | | | | | | 99.27 299 | 96.98 344 | | | | | | 92.71 337 | | | | |
|
| plane_prior5 | | | | | | | | | 99.47 216 | | | | | 99.69 281 | 97.78 284 | 97.63 313 | 98.67 355 |
|
| plane_prior4 | | | | | | | | | | | | 99.61 259 | | | | | |
|
| plane_prior3 | | | | | | | 97.00 342 | | | 98.69 105 | 99.11 270 | | | | | | |
|
| plane_prior1 | | | | | | 99.26 302 | | | | | | | | | | | |
|
| n2 | | | | | | | | | 0.00 484 | | | | | | | | |
|
| nn | | | | | | | | | 0.00 484 | | | | | | | | |
|
| door-mid | | | | | | | | | 98.05 445 | | | | | | | | |
|
| lessismore_v0 | | | | | 97.79 384 | 98.69 412 | 95.44 403 | | 94.75 469 | | 95.71 438 | 99.87 62 | 88.69 406 | 99.32 351 | 95.89 385 | 94.93 400 | 98.62 377 |
|
| LGP-MVS_train | | | | | 98.49 312 | 99.33 281 | 97.05 334 | | 99.55 98 | 97.46 277 | 99.24 243 | 99.83 97 | 92.58 342 | 99.72 263 | 98.09 253 | 97.51 325 | 98.68 347 |
|
| test11 | | | | | | | | | 99.35 297 | | | | | | | | |
|
| door | | | | | | | | | 97.92 446 | | | | | | | | |
|
| HQP5-MVS | | | | | | | 96.83 356 | | | | | | | | | | |
|
| BP-MVS | | | | | | | | | | | | | | | 97.19 337 | | |
|
| HQP4-MVS | | | | | | | | | | | 98.66 345 | | | 99.64 296 | | | 98.64 368 |
|
| HQP3-MVS | | | | | | | | | 99.39 273 | | | | | | | 97.58 318 | |
|
| HQP2-MVS | | | | | | | | | | | | | 92.47 346 | | | | |
|
| NP-MVS | | | | | | 99.23 310 | 96.92 352 | | | | | 99.40 330 | | | | | |
|
| ACMMP++_ref | | | | | | | | | | | | | | | | 97.19 346 | |
|
| ACMMP++ | | | | | | | | | | | | | | | | 97.43 336 | |
|
| Test By Simon | | | | | | | | | | | | | 98.75 59 | | | | |
|
| ITE_SJBPF | | | | | 98.08 357 | 99.29 294 | 96.37 375 | | 98.92 388 | 98.34 141 | 98.83 322 | 99.75 184 | 91.09 378 | 99.62 303 | 95.82 386 | 97.40 338 | 98.25 418 |
|
| DeepMVS_CX |  | | | | 93.34 435 | 99.29 294 | 82.27 464 | | 99.22 347 | 85.15 461 | 96.33 431 | 99.05 392 | 90.97 380 | 99.73 259 | 93.57 425 | 97.77 309 | 98.01 432 |
|