pcd_1.5k_mvsjas | | | 16.61 333 | 22.14 334 | 0.00 345 | 0.00 359 | 0.00 360 | 0.00 351 | 0.00 361 | 0.00 355 | 0.00 356 | 100.00 1 | 99.28 39 | 0.00 358 | 0.00 355 | 0.00 356 | 0.00 356 |
|
pcd1.5k->3k | | | 49.97 329 | 55.52 330 | 33.31 342 | 99.95 13 | 0.00 360 | 0.00 351 | 99.81 56 | 0.00 355 | 0.00 356 | 100.00 1 | 99.96 1 | 0.00 358 | 0.00 355 | 100.00 1 | 99.92 3 |
|
sosnet-low-res | | | 8.33 334 | 11.11 335 | 0.00 345 | 0.00 359 | 0.00 360 | 0.00 351 | 0.00 361 | 0.00 355 | 0.00 356 | 100.00 1 | 0.00 363 | 0.00 358 | 0.00 355 | 0.00 356 | 0.00 356 |
|
sosnet | | | 8.33 334 | 11.11 335 | 0.00 345 | 0.00 359 | 0.00 360 | 0.00 351 | 0.00 361 | 0.00 355 | 0.00 356 | 100.00 1 | 0.00 363 | 0.00 358 | 0.00 355 | 0.00 356 | 0.00 356 |
|
uncertanet | | | 8.33 334 | 11.11 335 | 0.00 345 | 0.00 359 | 0.00 360 | 0.00 351 | 0.00 361 | 0.00 355 | 0.00 356 | 100.00 1 | 0.00 363 | 0.00 358 | 0.00 355 | 0.00 356 | 0.00 356 |
|
Regformer | | | 8.33 334 | 11.11 335 | 0.00 345 | 0.00 359 | 0.00 360 | 0.00 351 | 0.00 361 | 0.00 355 | 0.00 356 | 100.00 1 | 0.00 363 | 0.00 358 | 0.00 355 | 0.00 356 | 0.00 356 |
|
uanet | | | 8.33 334 | 11.11 335 | 0.00 345 | 0.00 359 | 0.00 360 | 0.00 351 | 0.00 361 | 0.00 355 | 0.00 356 | 100.00 1 | 0.00 363 | 0.00 358 | 0.00 355 | 0.00 356 | 0.00 356 |
|
Anonymous20231211 | | | 99.83 11 | 99.81 10 | 99.89 6 | 99.97 4 | 99.95 2 | 99.88 4 | 99.93 6 | 99.87 13 | 99.94 20 | 99.98 8 | 99.55 21 | 99.95 41 | 99.21 79 | 99.98 36 | 99.78 31 |
|
LCM-MVSNet | | | 99.95 1 | 99.95 1 | 99.95 1 | 99.99 1 | 99.99 1 | 99.95 2 | 99.97 3 | 99.99 1 | 100.00 1 | 99.98 8 | 99.78 8 | 100.00 1 | 99.92 3 | 100.00 1 | 99.87 10 |
|
ANet_high | | | 99.88 4 | 99.87 4 | 99.91 2 | 99.99 1 | 99.91 3 | 99.65 54 | 100.00 1 | 99.90 6 | 100.00 1 | 99.97 10 | 99.61 17 | 99.97 16 | 99.75 31 | 100.00 1 | 99.84 15 |
|
MVS-HIRNet | | | 97.86 266 | 98.22 239 | 96.76 325 | 99.28 276 | 91.53 347 | 98.38 270 | 92.60 354 | 99.13 150 | 99.31 214 | 99.96 11 | 97.18 237 | 99.68 309 | 98.34 156 | 99.83 143 | 99.07 272 |
|
pmmvs6 | | | 99.86 6 | 99.86 6 | 99.83 24 | 99.94 15 | 99.90 4 | 99.83 8 | 99.91 11 | 99.85 19 | 99.94 20 | 99.95 12 | 99.73 10 | 99.90 109 | 99.65 35 | 99.97 47 | 99.69 56 |
|
gg-mvs-nofinetune | | | 95.87 321 | 95.17 324 | 97.97 298 | 98.19 344 | 96.95 299 | 99.69 38 | 89.23 357 | 99.89 10 | 96.24 347 | 99.94 13 | 81.19 351 | 99.51 341 | 93.99 328 | 98.20 331 | 97.44 338 |
|
anonymousdsp | | | 99.80 13 | 99.77 14 | 99.90 4 | 99.96 5 | 99.88 8 | 99.73 21 | 99.85 29 | 99.70 49 | 99.92 31 | 99.93 14 | 99.45 23 | 99.97 16 | 99.36 61 | 100.00 1 | 99.85 14 |
|
mvs_tets | | | 99.90 2 | 99.90 2 | 99.90 4 | 99.96 5 | 99.79 33 | 99.72 25 | 99.88 18 | 99.92 5 | 99.98 3 | 99.93 14 | 99.94 2 | 99.98 7 | 99.77 30 | 100.00 1 | 99.92 3 |
|
OurMVSNet-221017-0 | | | 99.75 19 | 99.71 25 | 99.84 21 | 99.96 5 | 99.83 22 | 99.83 8 | 99.85 29 | 99.80 31 | 99.93 26 | 99.93 14 | 98.54 139 | 99.93 66 | 99.59 39 | 99.98 36 | 99.76 37 |
|
PS-MVSNAJss | | | 99.84 9 | 99.82 9 | 99.89 6 | 99.96 5 | 99.77 37 | 99.68 41 | 99.85 29 | 99.95 3 | 99.98 3 | 99.92 17 | 99.28 39 | 99.98 7 | 99.75 31 | 100.00 1 | 99.94 2 |
|
test_djsdf | | | 99.84 9 | 99.81 10 | 99.91 2 | 99.94 15 | 99.84 18 | 99.77 13 | 99.80 60 | 99.73 42 | 99.97 6 | 99.92 17 | 99.77 9 | 99.98 7 | 99.43 53 | 100.00 1 | 99.90 5 |
|
TDRefinement | | | 99.72 25 | 99.70 28 | 99.77 39 | 99.90 25 | 99.85 13 | 99.86 7 | 99.92 7 | 99.69 53 | 99.78 82 | 99.92 17 | 99.37 30 | 99.88 139 | 98.93 121 | 99.95 65 | 99.60 123 |
|
UA-Net | | | 99.78 15 | 99.76 18 | 99.86 18 | 99.72 130 | 99.71 51 | 99.91 3 | 99.95 5 | 99.96 2 | 99.71 106 | 99.91 20 | 99.15 53 | 99.97 16 | 99.50 48 | 100.00 1 | 99.90 5 |
|
v7n | | | 99.82 12 | 99.80 12 | 99.88 12 | 99.96 5 | 99.84 18 | 99.82 10 | 99.82 48 | 99.84 23 | 99.94 20 | 99.91 20 | 99.13 57 | 99.96 33 | 99.83 20 | 99.99 20 | 99.83 18 |
|
v13 | | | 99.76 17 | 99.77 14 | 99.73 62 | 99.86 35 | 99.55 95 | 99.77 13 | 99.86 22 | 99.79 33 | 99.96 8 | 99.91 20 | 98.90 83 | 99.87 158 | 99.91 5 | 100.00 1 | 99.78 31 |
|
jajsoiax | | | 99.89 3 | 99.89 3 | 99.89 6 | 99.96 5 | 99.78 35 | 99.70 29 | 99.86 22 | 99.89 10 | 99.98 3 | 99.90 23 | 99.94 2 | 99.98 7 | 99.75 31 | 100.00 1 | 99.90 5 |
|
v12 | | | 99.75 19 | 99.77 14 | 99.72 67 | 99.85 39 | 99.53 98 | 99.75 17 | 99.86 22 | 99.78 34 | 99.96 8 | 99.90 23 | 98.88 86 | 99.86 178 | 99.91 5 | 100.00 1 | 99.77 34 |
|
v11 | | | 99.75 19 | 99.76 18 | 99.71 71 | 99.85 39 | 99.49 101 | 99.73 21 | 99.84 37 | 99.75 39 | 99.95 16 | 99.90 23 | 98.93 79 | 99.86 178 | 99.92 3 | 100.00 1 | 99.77 34 |
|
v52 | | | 99.85 7 | 99.84 7 | 99.89 6 | 99.96 5 | 99.89 6 | 99.87 5 | 99.81 56 | 99.85 19 | 99.96 8 | 99.90 23 | 99.27 42 | 99.95 41 | 99.93 1 | 99.99 20 | 99.82 23 |
|
V4 | | | 99.85 7 | 99.84 7 | 99.88 12 | 99.96 5 | 99.89 6 | 99.87 5 | 99.81 56 | 99.85 19 | 99.96 8 | 99.90 23 | 99.27 42 | 99.95 41 | 99.93 1 | 100.00 1 | 99.82 23 |
|
V9 | | | 99.74 23 | 99.75 20 | 99.71 71 | 99.84 42 | 99.50 99 | 99.74 19 | 99.86 22 | 99.76 38 | 99.96 8 | 99.90 23 | 98.83 89 | 99.85 194 | 99.91 5 | 100.00 1 | 99.77 34 |
|
SixPastTwentyTwo | | | 99.42 84 | 99.30 101 | 99.76 42 | 99.92 19 | 99.67 67 | 99.70 29 | 99.14 279 | 99.65 65 | 99.89 38 | 99.90 23 | 96.20 261 | 99.94 55 | 99.42 57 | 99.92 88 | 99.67 69 |
|
DeepC-MVS | | 98.90 4 | 99.62 43 | 99.61 41 | 99.67 84 | 99.72 130 | 99.44 116 | 99.24 140 | 99.71 104 | 99.27 123 | 99.93 26 | 99.90 23 | 99.70 12 | 99.93 66 | 98.99 108 | 99.99 20 | 99.64 95 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
V14 | | | 99.73 24 | 99.74 21 | 99.69 78 | 99.83 46 | 99.48 104 | 99.72 25 | 99.85 29 | 99.74 40 | 99.96 8 | 99.89 31 | 98.79 97 | 99.85 194 | 99.91 5 | 100.00 1 | 99.76 37 |
|
TransMVSNet (Re) | | | 99.78 15 | 99.77 14 | 99.81 27 | 99.91 21 | 99.85 13 | 99.75 17 | 99.86 22 | 99.70 49 | 99.91 33 | 99.89 31 | 99.60 19 | 99.87 158 | 99.59 39 | 99.74 189 | 99.71 49 |
|
MIMVSNet1 | | | 99.66 36 | 99.62 38 | 99.80 29 | 99.94 15 | 99.87 9 | 99.69 38 | 99.77 73 | 99.78 34 | 99.93 26 | 99.89 31 | 97.94 189 | 99.92 83 | 99.65 35 | 99.98 36 | 99.62 112 |
|
v15 | | | 99.72 25 | 99.73 24 | 99.68 81 | 99.82 53 | 99.44 116 | 99.70 29 | 99.85 29 | 99.72 45 | 99.95 16 | 99.88 34 | 98.76 104 | 99.84 210 | 99.90 9 | 100.00 1 | 99.75 40 |
|
Baseline_NR-MVSNet | | | 99.49 68 | 99.37 87 | 99.82 25 | 99.91 21 | 99.84 18 | 98.83 223 | 99.86 22 | 99.68 56 | 99.65 125 | 99.88 34 | 97.67 209 | 99.87 158 | 99.03 105 | 99.86 126 | 99.76 37 |
|
K. test v3 | | | 98.87 200 | 98.60 207 | 99.69 78 | 99.93 18 | 99.46 109 | 99.74 19 | 94.97 352 | 99.78 34 | 99.88 46 | 99.88 34 | 93.66 284 | 99.97 16 | 99.61 38 | 99.95 65 | 99.64 95 |
|
new-patchmatchnet | | | 99.35 102 | 99.57 48 | 98.71 274 | 99.82 53 | 96.62 303 | 98.55 250 | 99.75 84 | 99.50 90 | 99.88 46 | 99.87 37 | 99.31 35 | 99.88 139 | 99.43 53 | 100.00 1 | 99.62 112 |
|
v748 | | | 99.76 17 | 99.74 21 | 99.84 21 | 99.95 13 | 99.83 22 | 99.82 10 | 99.80 60 | 99.82 27 | 99.95 16 | 99.87 37 | 98.72 111 | 99.93 66 | 99.72 34 | 99.98 36 | 99.75 40 |
|
pm-mvs1 | | | 99.79 14 | 99.79 13 | 99.78 37 | 99.91 21 | 99.83 22 | 99.76 16 | 99.87 20 | 99.73 42 | 99.89 38 | 99.87 37 | 99.63 15 | 99.87 158 | 99.54 44 | 99.92 88 | 99.63 99 |
|
v17 | | | 99.70 28 | 99.71 25 | 99.67 84 | 99.81 61 | 99.44 116 | 99.70 29 | 99.83 40 | 99.69 53 | 99.94 20 | 99.87 37 | 98.70 112 | 99.84 210 | 99.88 14 | 99.99 20 | 99.73 43 |
|
v16 | | | 99.70 28 | 99.71 25 | 99.67 84 | 99.81 61 | 99.43 122 | 99.70 29 | 99.83 40 | 99.70 49 | 99.94 20 | 99.87 37 | 98.69 114 | 99.84 210 | 99.88 14 | 99.99 20 | 99.73 43 |
|
v10 | | | 99.69 32 | 99.69 29 | 99.66 92 | 99.81 61 | 99.39 134 | 99.66 49 | 99.75 84 | 99.60 80 | 99.92 31 | 99.87 37 | 98.75 107 | 99.86 178 | 99.90 9 | 99.99 20 | 99.73 43 |
|
JIA-IIPM | | | 98.06 262 | 97.92 259 | 98.50 281 | 98.59 336 | 97.02 298 | 98.80 228 | 98.51 306 | 99.88 12 | 97.89 326 | 99.87 37 | 91.89 298 | 99.90 109 | 98.16 174 | 97.68 343 | 98.59 298 |
|
LTVRE_ROB | | 99.19 1 | 99.88 4 | 99.87 4 | 99.88 12 | 99.91 21 | 99.90 4 | 99.96 1 | 99.92 7 | 99.90 6 | 99.97 6 | 99.87 37 | 99.81 7 | 99.95 41 | 99.54 44 | 99.99 20 | 99.80 25 |
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 |
v18 | | | 99.68 33 | 99.69 29 | 99.65 96 | 99.79 82 | 99.40 131 | 99.68 41 | 99.83 40 | 99.66 62 | 99.93 26 | 99.85 45 | 98.65 123 | 99.84 210 | 99.87 18 | 99.99 20 | 99.71 49 |
|
v8 | | | 99.68 33 | 99.69 29 | 99.65 96 | 99.80 69 | 99.40 131 | 99.66 49 | 99.76 79 | 99.64 67 | 99.93 26 | 99.85 45 | 98.66 121 | 99.84 210 | 99.88 14 | 99.99 20 | 99.71 49 |
|
EU-MVSNet | | | 99.39 93 | 99.62 38 | 98.72 273 | 99.88 28 | 96.44 305 | 99.56 70 | 99.85 29 | 99.90 6 | 99.90 35 | 99.85 45 | 98.09 178 | 99.83 226 | 99.58 41 | 99.95 65 | 99.90 5 |
|
DSMNet-mixed | | | 99.48 70 | 99.65 34 | 98.95 248 | 99.71 133 | 97.27 294 | 99.50 74 | 99.82 48 | 99.59 82 | 99.41 188 | 99.85 45 | 99.62 16 | 100.00 1 | 99.53 46 | 99.89 106 | 99.59 134 |
|
ACMH | | 98.42 6 | 99.59 45 | 99.54 53 | 99.72 67 | 99.86 35 | 99.62 82 | 99.56 70 | 99.79 68 | 98.77 187 | 99.80 74 | 99.85 45 | 99.64 14 | 99.85 194 | 98.70 137 | 99.89 106 | 99.70 53 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
XXY-MVS | | | 99.71 27 | 99.67 32 | 99.81 27 | 99.89 27 | 99.72 50 | 99.59 65 | 99.82 48 | 99.39 111 | 99.82 65 | 99.84 50 | 99.38 28 | 99.91 92 | 99.38 58 | 99.93 85 | 99.80 25 |
|
FC-MVSNet-test | | | 99.70 28 | 99.65 34 | 99.86 18 | 99.88 28 | 99.86 12 | 99.72 25 | 99.78 70 | 99.90 6 | 99.82 65 | 99.83 51 | 98.45 152 | 99.87 158 | 99.51 47 | 99.97 47 | 99.86 12 |
|
lessismore_v0 | | | | | 99.64 103 | 99.86 35 | 99.38 140 | | 90.66 355 | | 99.89 38 | 99.83 51 | 94.56 278 | 99.97 16 | 99.56 43 | 99.92 88 | 99.57 142 |
|
no-one | | | 99.28 117 | 99.23 117 | 99.45 171 | 99.87 32 | 99.08 200 | 98.95 207 | 99.52 199 | 98.88 173 | 99.77 86 | 99.83 51 | 97.78 201 | 99.90 109 | 98.46 149 | 99.99 20 | 99.38 211 |
|
GBi-Net | | | 99.42 84 | 99.31 96 | 99.73 62 | 99.49 216 | 99.77 37 | 99.68 41 | 99.70 107 | 99.44 101 | 99.62 137 | 99.83 51 | 97.21 233 | 99.90 109 | 98.96 115 | 99.90 100 | 99.53 156 |
|
test1 | | | 99.42 84 | 99.31 96 | 99.73 62 | 99.49 216 | 99.77 37 | 99.68 41 | 99.70 107 | 99.44 101 | 99.62 137 | 99.83 51 | 97.21 233 | 99.90 109 | 98.96 115 | 99.90 100 | 99.53 156 |
|
FMVSNet1 | | | 99.66 36 | 99.63 37 | 99.73 62 | 99.78 88 | 99.77 37 | 99.68 41 | 99.70 107 | 99.67 58 | 99.82 65 | 99.83 51 | 98.98 73 | 99.90 109 | 99.24 78 | 99.97 47 | 99.53 156 |
|
TAMVS | | | 99.49 68 | 99.45 73 | 99.63 107 | 99.48 222 | 99.42 126 | 99.45 79 | 99.57 174 | 99.66 62 | 99.78 82 | 99.83 51 | 97.85 196 | 99.86 178 | 99.44 52 | 99.96 59 | 99.61 117 |
|
SD-MVS | | | 99.01 177 | 99.30 101 | 98.15 294 | 99.50 211 | 99.40 131 | 98.94 210 | 99.61 147 | 99.22 137 | 99.75 90 | 99.82 58 | 99.54 22 | 95.51 355 | 97.48 213 | 99.87 119 | 99.54 153 |
|
ab-mvs | | | 99.33 110 | 99.28 108 | 99.47 164 | 99.57 183 | 99.39 134 | 99.78 12 | 99.43 224 | 98.87 174 | 99.57 148 | 99.82 58 | 98.06 181 | 99.87 158 | 98.69 138 | 99.73 195 | 99.15 249 |
|
PMVS | | 92.94 21 | 98.82 205 | 98.81 193 | 98.85 258 | 99.84 42 | 97.99 275 | 99.20 150 | 99.47 213 | 99.71 47 | 99.42 182 | 99.82 58 | 98.09 178 | 99.47 343 | 93.88 329 | 99.85 129 | 99.07 272 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
VPA-MVSNet | | | 99.66 36 | 99.62 38 | 99.79 34 | 99.68 149 | 99.75 43 | 99.62 56 | 99.69 113 | 99.85 19 | 99.80 74 | 99.81 61 | 98.81 90 | 99.91 92 | 99.47 50 | 99.88 112 | 99.70 53 |
|
UGNet | | | 99.38 95 | 99.34 92 | 99.49 159 | 98.90 311 | 98.90 219 | 99.70 29 | 99.35 245 | 99.86 16 | 98.57 295 | 99.81 61 | 98.50 148 | 99.93 66 | 99.38 58 | 99.98 36 | 99.66 79 |
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 |
ambc | | | | | 99.20 228 | 99.35 253 | 98.53 240 | 99.17 159 | 99.46 216 | | 99.67 115 | 99.80 63 | 98.46 151 | 99.70 295 | 97.92 185 | 99.70 203 | 99.38 211 |
|
VDDNet | | | 98.97 183 | 98.82 192 | 99.42 178 | 99.71 133 | 98.81 228 | 99.62 56 | 98.68 300 | 99.81 28 | 99.38 200 | 99.80 63 | 94.25 280 | 99.85 194 | 98.79 129 | 99.32 268 | 99.59 134 |
|
mvs_anonymous | | | 99.28 117 | 99.39 82 | 98.94 249 | 99.19 288 | 97.81 282 | 99.02 193 | 99.55 180 | 99.78 34 | 99.85 57 | 99.80 63 | 98.24 169 | 99.86 178 | 99.57 42 | 99.50 242 | 99.15 249 |
|
QAPM | | | 98.40 242 | 97.99 253 | 99.65 96 | 99.39 245 | 99.47 105 | 99.67 46 | 99.52 199 | 91.70 343 | 98.78 278 | 99.80 63 | 98.55 137 | 99.95 41 | 94.71 319 | 99.75 182 | 99.53 156 |
|
wuykxyi23d | | | 99.65 41 | 99.64 36 | 99.69 78 | 99.92 19 | 99.20 185 | 98.89 212 | 99.99 2 | 98.73 195 | 99.95 16 | 99.80 63 | 99.84 4 | 99.99 4 | 99.64 37 | 99.98 36 | 99.89 9 |
|
3Dnovator | | 99.15 2 | 99.43 81 | 99.36 90 | 99.65 96 | 99.39 245 | 99.42 126 | 99.70 29 | 99.56 177 | 99.23 134 | 99.35 204 | 99.80 63 | 99.17 51 | 99.95 41 | 98.21 166 | 99.84 133 | 99.59 134 |
|
CMPMVS | | 77.52 23 | 98.50 230 | 98.19 244 | 99.41 185 | 98.33 342 | 99.56 92 | 99.01 195 | 99.59 165 | 95.44 322 | 99.57 148 | 99.80 63 | 95.64 268 | 99.46 346 | 96.47 267 | 99.92 88 | 99.21 239 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
FIs | | | 99.65 41 | 99.58 45 | 99.84 21 | 99.84 42 | 99.85 13 | 99.66 49 | 99.75 84 | 99.86 16 | 99.74 98 | 99.79 70 | 98.27 167 | 99.85 194 | 99.37 60 | 99.93 85 | 99.83 18 |
|
testing_2 | | | 99.58 46 | 99.56 51 | 99.62 115 | 99.81 61 | 99.44 116 | 99.14 172 | 99.43 224 | 99.69 53 | 99.82 65 | 99.79 70 | 99.14 54 | 99.79 260 | 99.31 70 | 99.95 65 | 99.63 99 |
|
testmv | | | 99.53 65 | 99.51 66 | 99.59 126 | 99.73 120 | 99.31 156 | 98.48 259 | 99.92 7 | 99.57 84 | 99.87 51 | 99.79 70 | 99.12 58 | 99.91 92 | 99.16 91 | 99.99 20 | 99.55 146 |
|
LCM-MVSNet-Re | | | 99.28 117 | 99.15 123 | 99.67 84 | 99.33 267 | 99.76 41 | 99.34 106 | 99.97 3 | 98.93 168 | 99.91 33 | 99.79 70 | 98.68 116 | 99.93 66 | 96.80 249 | 99.56 228 | 99.30 229 |
|
CHOSEN 1792x2688 | | | 99.39 93 | 99.30 101 | 99.65 96 | 99.88 28 | 99.25 172 | 98.78 232 | 99.88 18 | 98.66 199 | 99.96 8 | 99.79 70 | 97.45 220 | 99.93 66 | 99.34 63 | 99.99 20 | 99.78 31 |
|
LP | | | 98.34 249 | 98.44 219 | 98.05 296 | 98.88 318 | 95.31 328 | 99.28 130 | 98.74 297 | 99.12 151 | 98.98 253 | 99.79 70 | 93.40 286 | 99.93 66 | 98.38 152 | 99.41 258 | 98.90 284 |
|
CR-MVSNet | | | 98.35 247 | 98.20 241 | 98.83 262 | 99.05 305 | 98.12 267 | 99.30 121 | 99.67 119 | 97.39 282 | 99.16 236 | 99.79 70 | 91.87 299 | 99.91 92 | 98.78 132 | 98.77 302 | 98.44 306 |
|
Patchmtry | | | 98.78 210 | 98.54 215 | 99.49 159 | 98.89 315 | 99.19 187 | 99.32 111 | 99.67 119 | 99.65 65 | 99.72 102 | 99.79 70 | 91.87 299 | 99.95 41 | 98.00 182 | 99.97 47 | 99.33 223 |
|
wuyk23d | | | 97.58 273 | 99.13 127 | 92.93 339 | 99.69 142 | 99.49 101 | 99.52 72 | 99.77 73 | 97.97 251 | 99.96 8 | 99.79 70 | 99.84 4 | 99.94 55 | 95.85 290 | 99.82 152 | 79.36 352 |
|
DTE-MVSNet | | | 99.68 33 | 99.61 41 | 99.88 12 | 99.80 69 | 99.87 9 | 99.67 46 | 99.71 104 | 99.72 45 | 99.84 60 | 99.78 79 | 98.67 119 | 99.97 16 | 99.30 71 | 99.95 65 | 99.80 25 |
|
EG-PatchMatch MVS | | | 99.57 47 | 99.56 51 | 99.62 115 | 99.77 98 | 99.33 153 | 99.26 134 | 99.76 79 | 99.32 119 | 99.80 74 | 99.78 79 | 99.29 37 | 99.87 158 | 99.15 92 | 99.91 98 | 99.66 79 |
|
RPSCF | | | 99.18 146 | 99.02 159 | 99.64 103 | 99.83 46 | 99.85 13 | 99.44 81 | 99.82 48 | 98.33 234 | 99.50 170 | 99.78 79 | 97.90 191 | 99.65 326 | 96.78 250 | 99.83 143 | 99.44 195 |
|
3Dnovator+ | | 98.92 3 | 99.35 102 | 99.24 115 | 99.67 84 | 99.35 253 | 99.47 105 | 99.62 56 | 99.50 204 | 99.44 101 | 99.12 241 | 99.78 79 | 98.77 103 | 99.94 55 | 97.87 188 | 99.72 200 | 99.62 112 |
|
Gipuma | | | 99.57 47 | 99.59 43 | 99.49 159 | 99.98 3 | 99.71 51 | 99.72 25 | 99.84 37 | 99.81 28 | 99.94 20 | 99.78 79 | 98.91 82 | 99.71 294 | 98.41 151 | 99.95 65 | 99.05 274 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
COLMAP_ROB | | 98.06 12 | 99.45 79 | 99.37 87 | 99.70 77 | 99.83 46 | 99.70 58 | 99.38 92 | 99.78 70 | 99.53 87 | 99.67 115 | 99.78 79 | 99.19 49 | 99.86 178 | 97.32 221 | 99.87 119 | 99.55 146 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
USDC | | | 98.96 186 | 98.93 174 | 99.05 242 | 99.54 197 | 97.99 275 | 97.07 338 | 99.80 60 | 98.21 240 | 99.75 90 | 99.77 85 | 98.43 153 | 99.64 328 | 97.90 186 | 99.88 112 | 99.51 167 |
|
EPP-MVSNet | | | 99.17 149 | 99.00 164 | 99.66 92 | 99.80 69 | 99.43 122 | 99.70 29 | 99.24 270 | 99.48 92 | 99.56 155 | 99.77 85 | 94.89 274 | 99.93 66 | 98.72 136 | 99.89 106 | 99.63 99 |
|
OpenMVS | | 98.12 10 | 98.23 254 | 97.89 263 | 99.26 218 | 99.19 288 | 99.26 168 | 99.65 54 | 99.69 113 | 91.33 344 | 98.14 317 | 99.77 85 | 98.28 166 | 99.96 33 | 95.41 309 | 99.55 234 | 98.58 300 |
|
PatchT | | | 98.45 236 | 98.32 234 | 98.83 262 | 98.94 309 | 98.29 258 | 99.24 140 | 98.82 293 | 99.84 23 | 99.08 244 | 99.76 88 | 91.37 302 | 99.94 55 | 98.82 128 | 99.00 290 | 98.26 313 |
|
MIMVSNet | | | 98.43 237 | 98.20 241 | 99.11 234 | 99.53 200 | 98.38 249 | 99.58 67 | 98.61 302 | 98.96 164 | 99.33 210 | 99.76 88 | 90.92 306 | 99.81 252 | 97.38 219 | 99.76 179 | 99.15 249 |
|
DP-MVS | | | 99.48 70 | 99.39 82 | 99.74 55 | 99.57 183 | 99.62 82 | 99.29 129 | 99.61 147 | 99.87 13 | 99.74 98 | 99.76 88 | 98.69 114 | 99.87 158 | 98.20 167 | 99.80 165 | 99.75 40 |
|
ACMH+ | | 98.40 8 | 99.50 66 | 99.43 78 | 99.71 71 | 99.86 35 | 99.76 41 | 99.32 111 | 99.77 73 | 99.53 87 | 99.77 86 | 99.76 88 | 99.26 45 | 99.78 268 | 97.77 194 | 99.88 112 | 99.60 123 |
|
v1240 | | | 99.56 50 | 99.58 45 | 99.51 155 | 99.80 69 | 99.00 205 | 99.00 197 | 99.65 132 | 99.15 147 | 99.90 35 | 99.75 92 | 99.09 61 | 99.88 139 | 99.90 9 | 99.96 59 | 99.67 69 |
|
Vis-MVSNet | | | 99.75 19 | 99.74 21 | 99.79 34 | 99.88 28 | 99.66 70 | 99.69 38 | 99.92 7 | 99.67 58 | 99.77 86 | 99.75 92 | 99.61 17 | 99.98 7 | 99.35 62 | 99.98 36 | 99.72 46 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
RPMNet | | | 98.53 228 | 98.44 219 | 98.83 262 | 99.05 305 | 98.12 267 | 99.30 121 | 98.78 295 | 99.86 16 | 99.16 236 | 99.74 94 | 92.53 295 | 99.91 92 | 98.75 133 | 98.77 302 | 98.44 306 |
|
FMVSNet2 | | | 99.35 102 | 99.28 108 | 99.55 145 | 99.49 216 | 99.35 150 | 99.45 79 | 99.57 174 | 99.44 101 | 99.70 108 | 99.74 94 | 97.21 233 | 99.87 158 | 99.03 105 | 99.94 77 | 99.44 195 |
|
IterMVS | | | 98.97 183 | 99.16 121 | 98.42 283 | 99.74 117 | 95.64 323 | 98.06 299 | 99.83 40 | 99.83 26 | 99.85 57 | 99.74 94 | 96.10 264 | 99.99 4 | 99.27 77 | 100.00 1 | 99.63 99 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
OpenMVS_ROB | | 97.31 17 | 97.36 278 | 96.84 288 | 98.89 257 | 99.29 274 | 99.45 114 | 98.87 216 | 99.48 209 | 86.54 349 | 99.44 176 | 99.74 94 | 97.34 227 | 99.86 178 | 91.61 333 | 99.28 272 | 97.37 340 |
|
semantic-postprocess | | | | | 98.51 278 | 99.75 111 | 95.90 316 | | 99.84 37 | 99.84 23 | 99.89 38 | 99.73 98 | 95.96 266 | 99.99 4 | 99.33 65 | 100.00 1 | 99.63 99 |
|
ACMMP_Plus | | | 99.28 117 | 99.11 132 | 99.79 34 | 99.75 111 | 99.81 28 | 98.95 207 | 99.53 189 | 98.27 238 | 99.53 164 | 99.73 98 | 98.75 107 | 99.87 158 | 97.70 198 | 99.83 143 | 99.68 62 |
|
v1144 | | | 99.54 59 | 99.53 61 | 99.59 126 | 99.79 82 | 99.28 162 | 99.10 180 | 99.61 147 | 99.20 138 | 99.84 60 | 99.73 98 | 98.67 119 | 99.84 210 | 99.86 19 | 99.98 36 | 99.64 95 |
|
PM-MVS | | | 99.36 100 | 99.29 106 | 99.58 130 | 99.83 46 | 99.66 70 | 98.95 207 | 99.86 22 | 98.85 176 | 99.81 71 | 99.73 98 | 98.40 157 | 99.92 83 | 98.36 154 | 99.83 143 | 99.17 247 |
|
PEN-MVS | | | 99.66 36 | 99.59 43 | 99.89 6 | 99.83 46 | 99.87 9 | 99.66 49 | 99.73 92 | 99.70 49 | 99.84 60 | 99.73 98 | 98.56 133 | 99.96 33 | 99.29 74 | 99.94 77 | 99.83 18 |
|
PVSNet_Blended_VisFu | | | 99.40 90 | 99.38 84 | 99.44 173 | 99.90 25 | 98.66 235 | 98.94 210 | 99.91 11 | 97.97 251 | 99.79 79 | 99.73 98 | 99.05 69 | 99.97 16 | 99.15 92 | 99.99 20 | 99.68 62 |
|
Patchmatch-RL test | | | 98.60 221 | 98.36 230 | 99.33 202 | 99.77 98 | 99.07 202 | 98.27 277 | 99.87 20 | 98.91 171 | 99.74 98 | 99.72 104 | 90.57 313 | 99.79 260 | 98.55 145 | 99.85 129 | 99.11 258 |
|
v144192 | | | 99.55 54 | 99.54 53 | 99.58 130 | 99.78 88 | 99.20 185 | 99.11 179 | 99.62 143 | 99.18 140 | 99.89 38 | 99.72 104 | 98.66 121 | 99.87 158 | 99.88 14 | 99.97 47 | 99.66 79 |
|
v1192 | | | 99.57 47 | 99.57 48 | 99.57 136 | 99.77 98 | 99.22 179 | 99.04 190 | 99.60 161 | 99.18 140 | 99.87 51 | 99.72 104 | 99.08 64 | 99.85 194 | 99.89 13 | 99.98 36 | 99.66 79 |
|
AllTest | | | 99.21 139 | 99.07 146 | 99.63 107 | 99.78 88 | 99.64 76 | 99.12 178 | 99.83 40 | 98.63 202 | 99.63 130 | 99.72 104 | 98.68 116 | 99.75 282 | 96.38 268 | 99.83 143 | 99.51 167 |
|
TestCases | | | | | 99.63 107 | 99.78 88 | 99.64 76 | | 99.83 40 | 98.63 202 | 99.63 130 | 99.72 104 | 98.68 116 | 99.75 282 | 96.38 268 | 99.83 143 | 99.51 167 |
|
v7 | | | 99.56 50 | 99.54 53 | 99.61 118 | 99.80 69 | 99.39 134 | 99.30 121 | 99.59 165 | 99.14 149 | 99.82 65 | 99.72 104 | 98.75 107 | 99.84 210 | 99.83 20 | 99.94 77 | 99.61 117 |
|
ACMM | | 98.09 11 | 99.46 77 | 99.38 84 | 99.72 67 | 99.80 69 | 99.69 62 | 99.13 177 | 99.65 132 | 98.99 162 | 99.64 127 | 99.72 104 | 99.39 24 | 99.86 178 | 98.23 164 | 99.81 160 | 99.60 123 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
v1921920 | | | 99.56 50 | 99.57 48 | 99.55 145 | 99.75 111 | 99.11 194 | 99.05 188 | 99.61 147 | 99.15 147 | 99.88 46 | 99.71 111 | 99.08 64 | 99.87 158 | 99.90 9 | 99.97 47 | 99.66 79 |
|
APDe-MVS | | | 99.48 70 | 99.36 90 | 99.85 20 | 99.55 196 | 99.81 28 | 99.50 74 | 99.69 113 | 98.99 162 | 99.75 90 | 99.71 111 | 98.79 97 | 99.93 66 | 98.46 149 | 99.85 129 | 99.80 25 |
|
PS-CasMVS | | | 99.66 36 | 99.58 45 | 99.89 6 | 99.80 69 | 99.85 13 | 99.66 49 | 99.73 92 | 99.62 71 | 99.84 60 | 99.71 111 | 98.62 127 | 99.96 33 | 99.30 71 | 99.96 59 | 99.86 12 |
|
XVG-ACMP-BASELINE | | | 99.23 128 | 99.10 139 | 99.63 107 | 99.82 53 | 99.58 89 | 98.83 223 | 99.72 101 | 98.36 224 | 99.60 144 | 99.71 111 | 98.92 80 | 99.91 92 | 97.08 236 | 99.84 133 | 99.40 206 |
|
PVSNet_BlendedMVS | | | 99.03 171 | 99.01 162 | 99.09 236 | 99.54 197 | 97.99 275 | 98.58 245 | 99.82 48 | 97.62 270 | 99.34 208 | 99.71 111 | 98.52 145 | 99.77 274 | 97.98 183 | 99.97 47 | 99.52 164 |
|
IS-MVSNet | | | 99.03 171 | 98.85 186 | 99.55 145 | 99.80 69 | 99.25 172 | 99.73 21 | 99.15 278 | 99.37 113 | 99.61 142 | 99.71 111 | 94.73 276 | 99.81 252 | 97.70 198 | 99.88 112 | 99.58 138 |
|
LS3D | | | 99.24 127 | 99.11 132 | 99.61 118 | 98.38 341 | 99.79 33 | 99.57 68 | 99.68 116 | 99.61 75 | 99.15 238 | 99.71 111 | 98.70 112 | 99.91 92 | 97.54 210 | 99.68 206 | 99.13 256 |
|
TSAR-MVS + MP. | | | 99.34 107 | 99.24 115 | 99.63 107 | 99.82 53 | 99.37 143 | 99.26 134 | 99.35 245 | 98.77 187 | 99.57 148 | 99.70 118 | 99.27 42 | 99.88 139 | 97.71 197 | 99.75 182 | 99.65 89 |
|
V42 | | | 99.56 50 | 99.54 53 | 99.63 107 | 99.79 82 | 99.46 109 | 99.39 86 | 99.59 165 | 99.24 132 | 99.86 56 | 99.70 118 | 98.55 137 | 99.82 233 | 99.79 26 | 99.95 65 | 99.60 123 |
|
MDA-MVSNet-bldmvs | | | 99.06 165 | 99.05 152 | 99.07 240 | 99.80 69 | 97.83 281 | 98.89 212 | 99.72 101 | 99.29 120 | 99.63 130 | 99.70 118 | 96.47 254 | 99.89 124 | 98.17 173 | 99.82 152 | 99.50 173 |
|
CDS-MVSNet | | | 99.22 136 | 99.13 127 | 99.50 157 | 99.35 253 | 99.11 194 | 98.96 206 | 99.54 184 | 99.46 99 | 99.61 142 | 99.70 118 | 96.31 258 | 99.83 226 | 99.34 63 | 99.88 112 | 99.55 146 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
DeepPCF-MVS | | 98.42 6 | 99.18 146 | 99.02 159 | 99.67 84 | 99.22 283 | 99.75 43 | 97.25 336 | 99.47 213 | 98.72 196 | 99.66 119 | 99.70 118 | 99.29 37 | 99.63 330 | 98.07 179 | 99.81 160 | 99.62 112 |
|
TinyColmap | | | 98.97 183 | 98.93 174 | 99.07 240 | 99.46 231 | 98.19 263 | 97.75 321 | 99.75 84 | 98.79 184 | 99.54 161 | 99.70 118 | 98.97 75 | 99.62 331 | 96.63 259 | 99.83 143 | 99.41 205 |
|
tfpnnormal | | | 99.43 81 | 99.38 84 | 99.60 124 | 99.87 32 | 99.75 43 | 99.59 65 | 99.78 70 | 99.71 47 | 99.90 35 | 99.69 124 | 98.85 88 | 99.90 109 | 97.25 227 | 99.78 173 | 99.15 249 |
|
tmp_tt | | | 95.75 323 | 95.42 320 | 96.76 325 | 89.90 356 | 94.42 332 | 98.86 217 | 97.87 323 | 78.01 350 | 99.30 218 | 99.69 124 | 97.70 204 | 95.89 354 | 99.29 74 | 98.14 335 | 99.95 1 |
|
v1141 | | | 99.54 59 | 99.52 63 | 99.57 136 | 99.78 88 | 99.27 166 | 99.15 167 | 99.61 147 | 99.26 127 | 99.89 38 | 99.69 124 | 98.56 133 | 99.82 233 | 99.82 23 | 99.97 47 | 99.63 99 |
|
v1neww | | | 99.55 54 | 99.54 53 | 99.61 118 | 99.80 69 | 99.39 134 | 99.32 111 | 99.61 147 | 99.18 140 | 99.87 51 | 99.69 124 | 98.64 125 | 99.82 233 | 99.79 26 | 99.94 77 | 99.60 123 |
|
v7new | | | 99.55 54 | 99.54 53 | 99.61 118 | 99.80 69 | 99.39 134 | 99.32 111 | 99.61 147 | 99.18 140 | 99.87 51 | 99.69 124 | 98.64 125 | 99.82 233 | 99.79 26 | 99.94 77 | 99.60 123 |
|
divwei89l23v2f112 | | | 99.54 59 | 99.52 63 | 99.57 136 | 99.78 88 | 99.27 166 | 99.15 167 | 99.61 147 | 99.26 127 | 99.89 38 | 99.69 124 | 98.56 133 | 99.82 233 | 99.82 23 | 99.96 59 | 99.63 99 |
|
VDD-MVS | | | 99.20 141 | 99.11 132 | 99.44 173 | 99.43 237 | 98.98 207 | 99.50 74 | 98.32 314 | 99.80 31 | 99.56 155 | 99.69 124 | 96.99 243 | 99.85 194 | 98.99 108 | 99.73 195 | 99.50 173 |
|
WR-MVS_H | | | 99.61 44 | 99.53 61 | 99.87 16 | 99.80 69 | 99.83 22 | 99.67 46 | 99.75 84 | 99.58 83 | 99.85 57 | 99.69 124 | 98.18 176 | 99.94 55 | 99.28 76 | 99.95 65 | 99.83 18 |
|
LPG-MVS_test | | | 99.22 136 | 99.05 152 | 99.74 55 | 99.82 53 | 99.63 80 | 99.16 165 | 99.73 92 | 97.56 273 | 99.64 127 | 99.69 124 | 99.37 30 | 99.89 124 | 96.66 257 | 99.87 119 | 99.69 56 |
|
LGP-MVS_train | | | | | 99.74 55 | 99.82 53 | 99.63 80 | | 99.73 92 | 97.56 273 | 99.64 127 | 99.69 124 | 99.37 30 | 99.89 124 | 96.66 257 | 99.87 119 | 99.69 56 |
|
FMVSNet5 | | | 97.80 267 | 97.25 278 | 99.42 178 | 98.83 321 | 98.97 209 | 99.38 92 | 99.80 60 | 98.87 174 | 99.25 222 | 99.69 124 | 80.60 355 | 99.91 92 | 98.96 115 | 99.90 100 | 99.38 211 |
|
ACMMP | | | 99.25 124 | 99.08 142 | 99.74 55 | 99.79 82 | 99.68 65 | 99.50 74 | 99.65 132 | 98.07 245 | 99.52 166 | 99.69 124 | 98.57 132 | 99.92 83 | 97.18 233 | 99.79 168 | 99.63 99 |
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 |
MVP-Stereo | | | 99.16 151 | 99.08 142 | 99.43 176 | 99.48 222 | 99.07 202 | 99.08 185 | 99.55 180 | 98.63 202 | 99.31 214 | 99.68 136 | 98.19 175 | 99.78 268 | 98.18 171 | 99.58 227 | 99.45 190 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
nrg030 | | | 99.70 28 | 99.66 33 | 99.82 25 | 99.76 103 | 99.84 18 | 99.61 60 | 99.70 107 | 99.93 4 | 99.78 82 | 99.68 136 | 99.10 59 | 99.78 268 | 99.45 51 | 99.96 59 | 99.83 18 |
|
v6 | | | 99.55 54 | 99.54 53 | 99.61 118 | 99.80 69 | 99.39 134 | 99.32 111 | 99.60 161 | 99.18 140 | 99.87 51 | 99.68 136 | 98.65 123 | 99.82 233 | 99.79 26 | 99.95 65 | 99.61 117 |
|
v1 | | | 99.54 59 | 99.52 63 | 99.58 130 | 99.77 98 | 99.28 162 | 99.15 167 | 99.61 147 | 99.26 127 | 99.88 46 | 99.68 136 | 98.56 133 | 99.82 233 | 99.82 23 | 99.97 47 | 99.63 99 |
|
XVG-OURS | | | 99.21 139 | 99.06 148 | 99.65 96 | 99.82 53 | 99.62 82 | 97.87 318 | 99.74 89 | 98.36 224 | 99.66 119 | 99.68 136 | 99.71 11 | 99.90 109 | 96.84 247 | 99.88 112 | 99.43 201 |
|
N_pmnet | | | 98.73 215 | 98.53 216 | 99.35 199 | 99.72 130 | 98.67 234 | 98.34 273 | 94.65 353 | 98.35 229 | 99.79 79 | 99.68 136 | 98.03 182 | 99.93 66 | 98.28 162 | 99.92 88 | 99.44 195 |
|
EI-MVSNet | | | 99.38 95 | 99.44 75 | 99.21 226 | 99.58 174 | 98.09 271 | 99.26 134 | 99.46 216 | 99.62 71 | 99.75 90 | 99.67 142 | 98.54 139 | 99.85 194 | 99.15 92 | 99.92 88 | 99.68 62 |
|
CVMVSNet | | | 98.61 220 | 98.88 182 | 97.80 307 | 99.58 174 | 93.60 335 | 99.26 134 | 99.64 137 | 99.66 62 | 99.72 102 | 99.67 142 | 93.26 287 | 99.93 66 | 99.30 71 | 99.81 160 | 99.87 10 |
|
MVS_Test | | | 99.28 117 | 99.31 96 | 99.19 229 | 99.35 253 | 98.79 230 | 99.36 98 | 99.49 208 | 99.17 145 | 99.21 230 | 99.67 142 | 98.78 100 | 99.66 319 | 99.09 101 | 99.66 215 | 99.10 262 |
|
SteuartSystems-ACMMP | | | 99.30 114 | 99.14 124 | 99.76 42 | 99.87 32 | 99.66 70 | 99.18 152 | 99.60 161 | 98.55 208 | 99.57 148 | 99.67 142 | 99.03 71 | 99.94 55 | 97.01 239 | 99.80 165 | 99.69 56 |
Skip Steuart: Steuart Systems R&D Blog. |
pmmvs-eth3d | | | 99.48 70 | 99.47 69 | 99.51 155 | 99.77 98 | 99.41 130 | 98.81 227 | 99.66 123 | 99.42 108 | 99.75 90 | 99.66 146 | 99.20 48 | 99.76 276 | 98.98 110 | 99.99 20 | 99.36 218 |
|
EI-MVSNet-UG-set | | | 99.48 70 | 99.50 67 | 99.42 178 | 99.57 183 | 98.65 237 | 99.24 140 | 99.46 216 | 99.68 56 | 99.80 74 | 99.66 146 | 98.99 72 | 99.89 124 | 99.19 83 | 99.90 100 | 99.72 46 |
|
YYNet1 | | | 98.95 189 | 98.99 167 | 98.84 260 | 99.64 158 | 97.14 297 | 98.22 281 | 99.32 250 | 98.92 170 | 99.59 145 | 99.66 146 | 97.40 222 | 99.83 226 | 98.27 163 | 99.90 100 | 99.55 146 |
|
MDA-MVSNet_test_wron | | | 98.95 189 | 98.99 167 | 98.85 258 | 99.64 158 | 97.16 296 | 98.23 280 | 99.33 248 | 98.93 168 | 99.56 155 | 99.66 146 | 97.39 224 | 99.83 226 | 98.29 161 | 99.88 112 | 99.55 146 |
|
MVSTER | | | 98.47 234 | 98.22 239 | 99.24 223 | 99.06 304 | 98.35 251 | 99.08 185 | 99.46 216 | 99.27 123 | 99.75 90 | 99.66 146 | 88.61 323 | 99.85 194 | 99.14 98 | 99.92 88 | 99.52 164 |
|
EI-MVSNet-Vis-set | | | 99.47 76 | 99.49 68 | 99.42 178 | 99.57 183 | 98.66 235 | 99.24 140 | 99.46 216 | 99.67 58 | 99.79 79 | 99.65 151 | 98.97 75 | 99.89 124 | 99.15 92 | 99.89 106 | 99.71 49 |
|
APD-MVS_3200maxsize | | | 99.31 113 | 99.16 121 | 99.74 55 | 99.53 200 | 99.75 43 | 99.27 133 | 99.61 147 | 99.19 139 | 99.57 148 | 99.64 152 | 98.76 104 | 99.90 109 | 97.29 223 | 99.62 220 | 99.56 143 |
|
ADS-MVSNet2 | | | 97.78 268 | 97.66 274 | 98.12 295 | 99.14 292 | 95.36 326 | 99.22 146 | 98.75 296 | 96.97 293 | 98.25 309 | 99.64 152 | 90.90 307 | 99.94 55 | 96.51 264 | 99.56 228 | 99.08 268 |
|
ADS-MVSNet | | | 97.72 270 | 97.67 273 | 97.86 305 | 99.14 292 | 94.65 331 | 99.22 146 | 98.86 290 | 96.97 293 | 98.25 309 | 99.64 152 | 90.90 307 | 99.84 210 | 96.51 264 | 99.56 228 | 99.08 268 |
|
CP-MVSNet | | | 99.54 59 | 99.43 78 | 99.87 16 | 99.76 103 | 99.82 27 | 99.57 68 | 99.61 147 | 99.54 85 | 99.80 74 | 99.64 152 | 97.79 200 | 99.95 41 | 99.21 79 | 99.94 77 | 99.84 15 |
|
FMVSNet3 | | | 98.80 208 | 98.63 206 | 99.32 206 | 99.13 294 | 98.72 231 | 99.10 180 | 99.48 209 | 99.23 134 | 99.62 137 | 99.64 152 | 92.57 293 | 99.86 178 | 98.96 115 | 99.90 100 | 99.39 208 |
|
IterMVS-LS | | | 99.41 87 | 99.47 69 | 99.25 221 | 99.81 61 | 98.09 271 | 98.85 220 | 99.76 79 | 99.62 71 | 99.83 64 | 99.64 152 | 98.54 139 | 99.97 16 | 99.15 92 | 99.99 20 | 99.68 62 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
DeepC-MVS_fast | | 98.47 5 | 99.23 128 | 99.12 130 | 99.56 142 | 99.28 276 | 99.22 179 | 98.99 200 | 99.40 233 | 99.08 157 | 99.58 146 | 99.64 152 | 98.90 83 | 99.83 226 | 97.44 215 | 99.75 182 | 99.63 99 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
OPM-MVS | | | 99.26 123 | 99.13 127 | 99.63 107 | 99.70 140 | 99.61 86 | 98.58 245 | 99.48 209 | 98.50 212 | 99.52 166 | 99.63 159 | 99.14 54 | 99.76 276 | 97.89 187 | 99.77 177 | 99.51 167 |
|
MPTG | | | 99.30 114 | 99.14 124 | 99.80 29 | 99.81 61 | 99.81 28 | 98.73 237 | 99.53 189 | 99.27 123 | 99.42 182 | 99.63 159 | 98.21 172 | 99.95 41 | 97.83 191 | 99.79 168 | 99.65 89 |
|
MTAPA | | | 99.35 102 | 99.20 120 | 99.80 29 | 99.81 61 | 99.81 28 | 99.33 108 | 99.53 189 | 99.27 123 | 99.42 182 | 99.63 159 | 98.21 172 | 99.95 41 | 97.83 191 | 99.79 168 | 99.65 89 |
|
abl_6 | | | 99.36 100 | 99.23 117 | 99.75 51 | 99.71 133 | 99.74 48 | 99.33 108 | 99.76 79 | 99.07 158 | 99.65 125 | 99.63 159 | 99.09 61 | 99.92 83 | 97.13 235 | 99.76 179 | 99.58 138 |
|
APD-MVS | | | 98.87 200 | 98.59 208 | 99.71 71 | 99.50 211 | 99.62 82 | 99.01 195 | 99.57 174 | 96.80 298 | 99.54 161 | 99.63 159 | 98.29 165 | 99.91 92 | 95.24 312 | 99.71 201 | 99.61 117 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
MG-MVS | | | 98.52 229 | 98.39 226 | 98.94 249 | 99.15 291 | 97.39 293 | 98.18 283 | 99.21 273 | 98.89 172 | 99.23 226 | 99.63 159 | 97.37 226 | 99.74 286 | 94.22 325 | 99.61 224 | 99.69 56 |
|
FPMVS | | | 96.32 312 | 95.50 319 | 98.79 265 | 99.60 168 | 98.17 265 | 98.46 264 | 98.80 294 | 97.16 288 | 96.28 345 | 99.63 159 | 82.19 350 | 99.09 349 | 88.45 343 | 98.89 294 | 99.10 262 |
|
pmmvs5 | | | 99.19 144 | 99.11 132 | 99.42 178 | 99.76 103 | 98.88 222 | 98.55 250 | 99.73 92 | 98.82 180 | 99.72 102 | 99.62 166 | 96.56 250 | 99.82 233 | 99.32 68 | 99.95 65 | 99.56 143 |
|
patchmatchnet-post | | | | | | | | | | | | 99.62 166 | 90.58 312 | 99.94 55 | | | |
|
v2v482 | | | 99.50 66 | 99.47 69 | 99.58 130 | 99.78 88 | 99.25 172 | 99.14 172 | 99.58 173 | 99.25 130 | 99.81 71 | 99.62 166 | 98.24 169 | 99.84 210 | 99.83 20 | 99.97 47 | 99.64 95 |
|
test20.03 | | | 99.55 54 | 99.54 53 | 99.58 130 | 99.79 82 | 99.37 143 | 99.02 193 | 99.89 15 | 99.60 80 | 99.82 65 | 99.62 166 | 98.81 90 | 99.89 124 | 99.43 53 | 99.86 126 | 99.47 184 |
|
TSAR-MVS + GP. | | | 99.12 157 | 99.04 157 | 99.38 191 | 99.34 263 | 99.16 189 | 98.15 286 | 99.29 258 | 98.18 242 | 99.63 130 | 99.62 166 | 99.18 50 | 99.68 309 | 98.20 167 | 99.74 189 | 99.30 229 |
|
EPNet | | | 98.13 258 | 97.77 269 | 99.18 232 | 94.57 355 | 97.99 275 | 99.24 140 | 97.96 319 | 99.74 40 | 97.29 340 | 99.62 166 | 93.13 288 | 99.97 16 | 98.59 142 | 99.83 143 | 99.58 138 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
OMC-MVS | | | 98.90 196 | 98.72 199 | 99.44 173 | 99.39 245 | 99.42 126 | 98.58 245 | 99.64 137 | 97.31 285 | 99.44 176 | 99.62 166 | 98.59 131 | 99.69 301 | 96.17 275 | 99.79 168 | 99.22 236 |
|
v148 | | | 99.40 90 | 99.41 80 | 99.39 189 | 99.76 103 | 98.94 212 | 99.09 184 | 99.59 165 | 99.17 145 | 99.81 71 | 99.61 173 | 98.41 155 | 99.69 301 | 99.32 68 | 99.94 77 | 99.53 156 |
|
DELS-MVS | | | 99.34 107 | 99.30 101 | 99.48 162 | 99.51 206 | 99.36 146 | 98.12 290 | 99.53 189 | 99.36 115 | 99.41 188 | 99.61 173 | 99.22 47 | 99.87 158 | 99.21 79 | 99.68 206 | 99.20 240 |
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 |
MDTV_nov1_ep13 | | | | 97.73 270 | | 98.70 334 | 90.83 350 | 99.15 167 | 98.02 317 | 98.51 211 | 98.82 272 | 99.61 173 | 90.98 305 | 99.66 319 | 96.89 245 | 98.92 291 | |
|
Regformer-3 | | | 99.41 87 | 99.41 80 | 99.40 186 | 99.52 202 | 98.70 232 | 99.17 159 | 99.44 221 | 99.62 71 | 99.75 90 | 99.60 176 | 98.90 83 | 99.85 194 | 98.89 123 | 99.84 133 | 99.65 89 |
|
Regformer-4 | | | 99.45 79 | 99.44 75 | 99.50 157 | 99.52 202 | 98.94 212 | 99.17 159 | 99.53 189 | 99.64 67 | 99.76 89 | 99.60 176 | 98.96 78 | 99.90 109 | 98.91 122 | 99.84 133 | 99.67 69 |
|
PGM-MVS | | | 99.20 141 | 99.01 162 | 99.77 39 | 99.75 111 | 99.71 51 | 99.16 165 | 99.72 101 | 97.99 249 | 99.42 182 | 99.60 176 | 98.81 90 | 99.93 66 | 96.91 243 | 99.74 189 | 99.66 79 |
|
HyFIR lowres test | | | 98.91 194 | 98.64 205 | 99.73 62 | 99.85 39 | 99.47 105 | 98.07 298 | 99.83 40 | 98.64 201 | 99.89 38 | 99.60 176 | 92.57 293 | 100.00 1 | 99.33 65 | 99.97 47 | 99.72 46 |
|
CSCG | | | 99.37 97 | 99.29 106 | 99.60 124 | 99.71 133 | 99.46 109 | 99.43 82 | 99.85 29 | 98.79 184 | 99.41 188 | 99.60 176 | 98.92 80 | 99.92 83 | 98.02 180 | 99.92 88 | 99.43 201 |
|
ACMP | | 97.51 14 | 99.05 168 | 98.84 188 | 99.67 84 | 99.78 88 | 99.55 95 | 98.88 214 | 99.66 123 | 97.11 292 | 99.47 173 | 99.60 176 | 99.07 66 | 99.89 124 | 96.18 274 | 99.85 129 | 99.58 138 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
dp | | | 96.86 296 | 97.07 280 | 96.24 335 | 98.68 335 | 90.30 354 | 99.19 151 | 98.38 313 | 97.35 284 | 98.23 311 | 99.59 182 | 87.23 328 | 99.82 233 | 96.27 272 | 98.73 308 | 98.59 298 |
|
EPMVS | | | 96.53 306 | 96.32 304 | 97.17 323 | 98.18 345 | 92.97 338 | 99.39 86 | 89.95 356 | 98.21 240 | 98.61 291 | 99.59 182 | 86.69 337 | 99.72 289 | 96.99 240 | 99.23 280 | 98.81 291 |
|
MP-MVS-pluss | | | 99.14 154 | 98.92 177 | 99.80 29 | 99.83 46 | 99.83 22 | 98.61 241 | 99.63 140 | 96.84 296 | 99.44 176 | 99.58 184 | 98.81 90 | 99.91 92 | 97.70 198 | 99.82 152 | 99.67 69 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
MS-PatchMatch | | | 99.00 180 | 98.97 171 | 99.09 236 | 99.11 299 | 98.19 263 | 98.76 233 | 99.33 248 | 98.49 213 | 99.44 176 | 99.58 184 | 98.21 172 | 99.69 301 | 98.20 167 | 99.62 220 | 99.39 208 |
|
LFMVS | | | 98.46 235 | 98.19 244 | 99.26 218 | 99.24 281 | 98.52 241 | 99.62 56 | 96.94 337 | 99.87 13 | 99.31 214 | 99.58 184 | 91.04 304 | 99.81 252 | 98.68 140 | 99.42 256 | 99.45 190 |
|
VPNet | | | 99.46 77 | 99.37 87 | 99.71 71 | 99.82 53 | 99.59 87 | 99.48 78 | 99.70 107 | 99.81 28 | 99.69 110 | 99.58 184 | 97.66 213 | 99.86 178 | 99.17 88 | 99.44 249 | 99.67 69 |
|
diffmvs | | | 98.94 192 | 98.87 183 | 99.13 233 | 99.37 250 | 98.90 219 | 99.25 138 | 99.64 137 | 97.55 275 | 99.04 249 | 99.58 184 | 97.23 232 | 99.64 328 | 98.73 135 | 99.44 249 | 98.86 287 |
|
PMMVS2 | | | 99.48 70 | 99.45 73 | 99.57 136 | 99.76 103 | 98.99 206 | 98.09 294 | 99.90 14 | 98.95 165 | 99.78 82 | 99.58 184 | 99.57 20 | 99.93 66 | 99.48 49 | 99.95 65 | 99.79 30 |
|
PatchmatchNet | | | 97.65 271 | 97.80 266 | 97.18 322 | 98.82 324 | 92.49 339 | 99.17 159 | 98.39 312 | 98.12 243 | 98.79 276 | 99.58 184 | 90.71 311 | 99.89 124 | 97.23 228 | 99.41 258 | 99.16 248 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
test_part3 | | | | | | | | 98.74 234 | | 97.71 265 | | 99.57 191 | | 99.90 109 | 94.47 321 | | |
|
ESAPD | | | 98.87 200 | 98.58 210 | 99.74 55 | 99.62 165 | 99.67 67 | 98.74 234 | 99.53 189 | 97.71 265 | 99.55 158 | 99.57 191 | 98.40 157 | 99.90 109 | 94.47 321 | 99.68 206 | 99.66 79 |
|
Patchmatch-test | | | 98.10 260 | 97.98 255 | 98.48 282 | 99.27 278 | 96.48 304 | 99.40 85 | 99.07 282 | 98.81 181 | 99.23 226 | 99.57 191 | 90.11 317 | 99.87 158 | 96.69 255 | 99.64 218 | 99.09 265 |
|
VNet | | | 99.18 146 | 99.06 148 | 99.56 142 | 99.24 281 | 99.36 146 | 99.33 108 | 99.31 254 | 99.67 58 | 99.47 173 | 99.57 191 | 96.48 253 | 99.84 210 | 99.15 92 | 99.30 270 | 99.47 184 |
|
PNet_i23d | | | 97.02 291 | 97.87 264 | 94.49 338 | 99.69 142 | 84.81 357 | 95.18 350 | 99.85 29 | 97.83 261 | 99.32 212 | 99.57 191 | 95.53 271 | 99.47 343 | 96.09 276 | 97.74 342 | 99.18 245 |
|
MSLP-MVS++ | | | 99.05 168 | 99.09 141 | 98.91 252 | 99.21 284 | 98.36 250 | 98.82 226 | 99.47 213 | 98.85 176 | 98.90 267 | 99.56 196 | 98.78 100 | 99.09 349 | 98.57 143 | 99.68 206 | 99.26 233 |
|
TranMVSNet+NR-MVSNet | | | 99.54 59 | 99.47 69 | 99.76 42 | 99.58 174 | 99.64 76 | 99.30 121 | 99.63 140 | 99.61 75 | 99.71 106 | 99.56 196 | 98.76 104 | 99.96 33 | 99.14 98 | 99.92 88 | 99.68 62 |
|
114514_t | | | 98.49 232 | 98.11 247 | 99.64 103 | 99.73 120 | 99.58 89 | 99.24 140 | 99.76 79 | 89.94 346 | 99.42 182 | 99.56 196 | 97.76 202 | 99.86 178 | 97.74 196 | 99.82 152 | 99.47 184 |
|
Vis-MVSNet (Re-imp) | | | 98.77 211 | 98.58 210 | 99.34 200 | 99.78 88 | 98.88 222 | 99.61 60 | 99.56 177 | 99.11 152 | 99.24 225 | 99.56 196 | 93.00 291 | 99.78 268 | 97.43 216 | 99.89 106 | 99.35 220 |
|
test_0402 | | | 99.22 136 | 99.14 124 | 99.45 171 | 99.79 82 | 99.43 122 | 99.28 130 | 99.68 116 | 99.54 85 | 99.40 192 | 99.56 196 | 99.07 66 | 99.82 233 | 96.01 282 | 99.96 59 | 99.11 258 |
|
tpmvs | | | 97.39 276 | 97.69 271 | 96.52 331 | 98.41 340 | 91.76 344 | 99.30 121 | 98.94 289 | 97.74 263 | 97.85 329 | 99.55 201 | 92.40 296 | 99.73 288 | 96.25 273 | 98.73 308 | 98.06 322 |
|
MSDG | | | 99.08 163 | 98.98 170 | 99.37 195 | 99.60 168 | 99.13 192 | 97.54 326 | 99.74 89 | 98.84 179 | 99.53 164 | 99.55 201 | 99.10 59 | 99.79 260 | 97.07 237 | 99.86 126 | 99.18 245 |
|
tpmrst | | | 97.73 269 | 98.07 249 | 96.73 327 | 98.71 333 | 92.00 341 | 99.10 180 | 98.86 290 | 98.52 210 | 98.92 264 | 99.54 203 | 91.90 297 | 99.82 233 | 98.02 180 | 99.03 288 | 98.37 308 |
|
new_pmnet | | | 98.88 199 | 98.89 181 | 98.84 260 | 99.70 140 | 97.62 288 | 98.15 286 | 99.50 204 | 97.98 250 | 99.62 137 | 99.54 203 | 98.15 177 | 99.94 55 | 97.55 209 | 99.84 133 | 98.95 280 |
|
Anonymous20231206 | | | 99.35 102 | 99.31 96 | 99.47 164 | 99.74 117 | 99.06 204 | 99.28 130 | 99.74 89 | 99.23 134 | 99.72 102 | 99.53 205 | 97.63 215 | 99.88 139 | 99.11 100 | 99.84 133 | 99.48 180 |
|
ITE_SJBPF | | | | | 99.38 191 | 99.63 160 | 99.44 116 | | 99.73 92 | 98.56 207 | 99.33 210 | 99.53 205 | 98.88 86 | 99.68 309 | 96.01 282 | 99.65 217 | 99.02 277 |
|
CHOSEN 280x420 | | | 98.41 240 | 98.41 224 | 98.40 285 | 99.34 263 | 95.89 317 | 96.94 339 | 99.44 221 | 98.80 183 | 99.25 222 | 99.52 207 | 93.51 285 | 99.98 7 | 98.94 120 | 99.98 36 | 99.32 227 |
|
Patchmatch-test1 | | | 98.13 258 | 98.40 225 | 97.31 321 | 99.20 287 | 92.99 337 | 98.17 285 | 98.49 308 | 98.24 239 | 99.10 243 | 99.52 207 | 96.01 265 | 99.83 226 | 97.22 229 | 99.62 220 | 99.12 257 |
|
Regformer-1 | | | 99.32 112 | 99.27 110 | 99.47 164 | 99.41 241 | 98.95 211 | 98.99 200 | 99.48 209 | 99.48 92 | 99.66 119 | 99.52 207 | 98.78 100 | 99.87 158 | 98.36 154 | 99.74 189 | 99.60 123 |
|
Regformer-2 | | | 99.34 107 | 99.27 110 | 99.53 150 | 99.41 241 | 99.10 197 | 98.99 200 | 99.53 189 | 99.47 96 | 99.66 119 | 99.52 207 | 98.80 94 | 99.89 124 | 98.31 159 | 99.74 189 | 99.60 123 |
|
CANet_DTU | | | 98.91 194 | 98.85 186 | 99.09 236 | 98.79 326 | 98.13 266 | 98.18 283 | 99.31 254 | 99.48 92 | 98.86 270 | 99.51 211 | 96.56 250 | 99.95 41 | 99.05 104 | 99.95 65 | 99.19 242 |
|
pmmvs3 | | | 98.08 261 | 97.80 266 | 98.91 252 | 99.41 241 | 97.69 286 | 97.87 318 | 99.66 123 | 95.87 314 | 99.50 170 | 99.51 211 | 90.35 315 | 99.97 16 | 98.55 145 | 99.47 246 | 99.08 268 |
|
HY-MVS | | 98.23 9 | 98.21 256 | 97.95 257 | 98.99 246 | 99.03 307 | 98.24 259 | 99.61 60 | 98.72 298 | 96.81 297 | 98.73 281 | 99.51 211 | 94.06 281 | 99.86 178 | 96.91 243 | 98.20 331 | 98.86 287 |
|
mPP-MVS | | | 99.19 144 | 99.00 164 | 99.76 42 | 99.76 103 | 99.68 65 | 99.38 92 | 99.54 184 | 98.34 233 | 99.01 251 | 99.50 214 | 98.53 143 | 99.93 66 | 97.18 233 | 99.78 173 | 99.66 79 |
|
HPM-MVS_fast | | | 99.43 81 | 99.30 101 | 99.80 29 | 99.83 46 | 99.81 28 | 99.52 72 | 99.70 107 | 98.35 229 | 99.51 168 | 99.50 214 | 99.31 35 | 99.88 139 | 98.18 171 | 99.84 133 | 99.69 56 |
|
MP-MVS | | | 99.06 165 | 98.83 191 | 99.76 42 | 99.76 103 | 99.71 51 | 99.32 111 | 99.50 204 | 98.35 229 | 98.97 254 | 99.48 216 | 98.37 160 | 99.92 83 | 95.95 288 | 99.75 182 | 99.63 99 |
|
test1235678 | | | 98.93 193 | 98.84 188 | 99.19 229 | 99.46 231 | 98.55 239 | 97.53 328 | 99.77 73 | 98.76 190 | 99.69 110 | 99.48 216 | 96.69 247 | 99.90 109 | 98.30 160 | 99.91 98 | 99.11 258 |
|
MVS_111021_LR | | | 99.13 155 | 99.03 158 | 99.42 178 | 99.58 174 | 99.32 155 | 97.91 317 | 99.73 92 | 98.68 198 | 99.31 214 | 99.48 216 | 99.09 61 | 99.66 319 | 97.70 198 | 99.77 177 | 99.29 232 |
|
XVS | | | 99.27 122 | 99.11 132 | 99.75 51 | 99.71 133 | 99.71 51 | 99.37 96 | 99.61 147 | 99.29 120 | 98.76 279 | 99.47 219 | 98.47 149 | 99.88 139 | 97.62 205 | 99.73 195 | 99.67 69 |
|
EPNet_dtu | | | 97.62 272 | 97.79 268 | 97.11 324 | 96.67 354 | 92.31 340 | 98.51 256 | 98.04 316 | 99.24 132 | 95.77 349 | 99.47 219 | 93.78 283 | 99.66 319 | 98.98 110 | 99.62 220 | 99.37 215 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
MVS_111021_HR | | | 99.12 157 | 99.02 159 | 99.40 186 | 99.50 211 | 99.11 194 | 97.92 315 | 99.71 104 | 98.76 190 | 99.08 244 | 99.47 219 | 99.17 51 | 99.54 339 | 97.85 190 | 99.76 179 | 99.54 153 |
|
tpm cat1 | | | 96.78 301 | 96.98 284 | 96.16 336 | 98.85 320 | 90.59 353 | 99.08 185 | 99.32 250 | 92.37 341 | 97.73 336 | 99.46 222 | 91.15 303 | 99.69 301 | 96.07 278 | 98.80 299 | 98.21 317 |
|
PHI-MVS | | | 99.11 160 | 98.95 173 | 99.59 126 | 99.13 294 | 99.59 87 | 99.17 159 | 99.65 132 | 97.88 255 | 99.25 222 | 99.46 222 | 98.97 75 | 99.80 257 | 97.26 226 | 99.82 152 | 99.37 215 |
|
pmmvs4 | | | 99.13 155 | 99.06 148 | 99.36 198 | 99.57 183 | 99.10 197 | 98.01 302 | 99.25 267 | 98.78 186 | 99.58 146 | 99.44 224 | 98.24 169 | 99.76 276 | 98.74 134 | 99.93 85 | 99.22 236 |
|
1111 | | | 97.29 279 | 96.71 298 | 99.04 243 | 99.65 156 | 97.72 283 | 98.35 271 | 99.80 60 | 99.40 109 | 99.66 119 | 99.43 225 | 75.10 359 | 99.87 158 | 98.98 110 | 99.98 36 | 99.52 164 |
|
.test1245 | | | 85.84 328 | 89.27 329 | 75.54 341 | 99.65 156 | 97.72 283 | 98.35 271 | 99.80 60 | 99.40 109 | 99.66 119 | 99.43 225 | 75.10 359 | 99.87 158 | 98.98 110 | 33.07 353 | 29.03 354 |
|
XVG-OURS-SEG-HR | | | 99.16 151 | 98.99 167 | 99.66 92 | 99.84 42 | 99.64 76 | 98.25 279 | 99.73 92 | 98.39 221 | 99.63 130 | 99.43 225 | 99.70 12 | 99.90 109 | 97.34 220 | 98.64 311 | 99.44 195 |
|
CNVR-MVS | | | 98.99 182 | 98.80 195 | 99.56 142 | 99.25 279 | 99.43 122 | 98.54 253 | 99.27 262 | 98.58 206 | 98.80 275 | 99.43 225 | 98.53 143 | 99.70 295 | 97.22 229 | 99.59 226 | 99.54 153 |
|
LF4IMVS | | | 99.01 177 | 98.92 177 | 99.27 213 | 99.71 133 | 99.28 162 | 98.59 244 | 99.77 73 | 98.32 235 | 99.39 193 | 99.41 229 | 98.62 127 | 99.84 210 | 96.62 260 | 99.84 133 | 98.69 295 |
|
testdata | | | | | 99.42 178 | 99.51 206 | 98.93 216 | | 99.30 257 | 96.20 309 | 98.87 269 | 99.40 230 | 98.33 164 | 99.89 124 | 96.29 271 | 99.28 272 | 99.44 195 |
|
Test_1112_low_res | | | 98.95 189 | 98.73 198 | 99.63 107 | 99.68 149 | 99.15 191 | 98.09 294 | 99.80 60 | 97.14 289 | 99.46 175 | 99.40 230 | 96.11 263 | 99.89 124 | 99.01 107 | 99.84 133 | 99.84 15 |
|
PCF-MVS | | 96.03 18 | 96.73 302 | 95.86 314 | 99.33 202 | 99.44 235 | 99.16 189 | 96.87 340 | 99.44 221 | 86.58 348 | 98.95 260 | 99.40 230 | 94.38 279 | 99.88 139 | 87.93 345 | 99.80 165 | 98.95 280 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
旧先验1 | | | | | | 99.49 216 | 99.29 160 | | 99.26 264 | | | 99.39 233 | 97.67 209 | | | 99.36 264 | 99.46 188 |
|
ACMMPR | | | 99.23 128 | 99.06 148 | 99.76 42 | 99.74 117 | 99.69 62 | 99.31 118 | 99.59 165 | 98.36 224 | 99.35 204 | 99.38 234 | 98.61 129 | 99.93 66 | 97.43 216 | 99.75 182 | 99.67 69 |
|
HFP-MVS | | | 99.25 124 | 99.08 142 | 99.76 42 | 99.73 120 | 99.70 58 | 99.31 118 | 99.59 165 | 98.36 224 | 99.36 202 | 99.37 235 | 98.80 94 | 99.91 92 | 97.43 216 | 99.75 182 | 99.68 62 |
|
#test# | | | 99.12 157 | 98.90 180 | 99.76 42 | 99.73 120 | 99.70 58 | 99.10 180 | 99.59 165 | 97.60 271 | 99.36 202 | 99.37 235 | 98.80 94 | 99.91 92 | 96.84 247 | 99.75 182 | 99.68 62 |
|
test12356 | | | 98.43 237 | 98.39 226 | 98.55 277 | 99.46 231 | 96.36 306 | 97.32 335 | 99.81 56 | 97.60 271 | 99.62 137 | 99.37 235 | 94.57 277 | 99.89 124 | 97.80 193 | 99.92 88 | 99.40 206 |
|
CPTT-MVS | | | 98.74 213 | 98.44 219 | 99.64 103 | 99.61 167 | 99.38 140 | 99.18 152 | 99.55 180 | 96.49 306 | 99.27 219 | 99.37 235 | 97.11 239 | 99.92 83 | 95.74 295 | 99.67 212 | 99.62 112 |
|
DP-MVS Recon | | | 98.50 230 | 98.23 238 | 99.31 208 | 99.49 216 | 99.46 109 | 98.56 249 | 99.63 140 | 94.86 331 | 98.85 271 | 99.37 235 | 97.81 198 | 99.59 336 | 96.08 277 | 99.44 249 | 98.88 285 |
|
region2R | | | 99.23 128 | 99.05 152 | 99.77 39 | 99.76 103 | 99.70 58 | 99.31 118 | 99.59 165 | 98.41 219 | 99.32 212 | 99.36 240 | 98.73 110 | 99.93 66 | 97.29 223 | 99.74 189 | 99.67 69 |
|
DU-MVS | | | 99.33 110 | 99.21 119 | 99.71 71 | 99.43 237 | 99.56 92 | 98.83 223 | 99.53 189 | 99.38 112 | 99.67 115 | 99.36 240 | 97.67 209 | 99.95 41 | 99.17 88 | 99.81 160 | 99.63 99 |
|
UniMVSNet (Re) | | | 99.37 97 | 99.26 112 | 99.68 81 | 99.51 206 | 99.58 89 | 98.98 204 | 99.60 161 | 99.43 106 | 99.70 108 | 99.36 240 | 97.70 204 | 99.88 139 | 99.20 82 | 99.87 119 | 99.59 134 |
|
NR-MVSNet | | | 99.40 90 | 99.31 96 | 99.68 81 | 99.43 237 | 99.55 95 | 99.73 21 | 99.50 204 | 99.46 99 | 99.88 46 | 99.36 240 | 97.54 216 | 99.87 158 | 98.97 114 | 99.87 119 | 99.63 99 |
|
UnsupCasMVSNet_eth | | | 98.83 203 | 98.57 212 | 99.59 126 | 99.68 149 | 99.45 114 | 98.99 200 | 99.67 119 | 99.48 92 | 99.55 158 | 99.36 240 | 94.92 273 | 99.86 178 | 98.95 119 | 96.57 347 | 99.45 190 |
|
UnsupCasMVSNet_bld | | | 98.55 227 | 98.27 236 | 99.40 186 | 99.56 194 | 99.37 143 | 97.97 310 | 99.68 116 | 97.49 278 | 99.08 244 | 99.35 245 | 95.41 272 | 99.82 233 | 97.70 198 | 98.19 333 | 99.01 278 |
|
sss | | | 98.90 196 | 98.77 196 | 99.27 213 | 99.48 222 | 98.44 243 | 98.72 238 | 99.32 250 | 97.94 253 | 99.37 201 | 99.35 245 | 96.31 258 | 99.91 92 | 98.85 125 | 99.63 219 | 99.47 184 |
|
CostFormer | | | 96.71 303 | 96.79 291 | 96.46 332 | 98.90 311 | 90.71 351 | 99.41 83 | 98.68 300 | 94.69 334 | 98.14 317 | 99.34 247 | 86.32 344 | 99.80 257 | 97.60 207 | 98.07 336 | 98.88 285 |
|
原ACMM1 | | | | | 99.37 195 | 99.47 227 | 98.87 224 | | 99.27 262 | 96.74 299 | 98.26 308 | 99.32 248 | 97.93 190 | 99.82 233 | 95.96 287 | 99.38 261 | 99.43 201 |
|
tpm | | | 97.15 288 | 96.95 285 | 97.75 309 | 98.91 310 | 94.24 333 | 99.32 111 | 97.96 319 | 97.71 265 | 98.29 306 | 99.32 248 | 86.72 336 | 99.92 83 | 98.10 178 | 96.24 349 | 99.09 265 |
|
test222 | | | | | | 99.51 206 | 99.08 200 | 97.83 320 | 99.29 258 | 95.21 326 | 98.68 287 | 99.31 250 | 97.28 229 | | | 99.38 261 | 99.43 201 |
|
tpmp4_e23 | | | 96.11 316 | 96.06 309 | 96.27 333 | 98.90 311 | 90.70 352 | 99.34 106 | 99.03 286 | 93.72 338 | 96.56 344 | 99.31 250 | 83.63 348 | 99.75 282 | 96.06 279 | 98.02 338 | 98.35 309 |
|
BH-RMVSNet | | | 98.41 240 | 98.14 246 | 99.21 226 | 99.21 284 | 98.47 242 | 98.60 243 | 98.26 315 | 98.35 229 | 98.93 262 | 99.31 250 | 97.20 236 | 99.66 319 | 94.32 323 | 99.10 284 | 99.51 167 |
|
MVS_0304 | | | 99.17 149 | 99.10 139 | 99.38 191 | 99.08 302 | 98.86 225 | 98.46 264 | 99.73 92 | 99.53 87 | 99.35 204 | 99.30 253 | 97.11 239 | 99.96 33 | 99.33 65 | 99.99 20 | 99.33 223 |
|
MVSFormer | | | 99.41 87 | 99.44 75 | 99.31 208 | 99.57 183 | 98.40 246 | 99.77 13 | 99.80 60 | 99.73 42 | 99.63 130 | 99.30 253 | 98.02 184 | 99.98 7 | 99.43 53 | 99.69 204 | 99.55 146 |
|
jason | | | 99.16 151 | 99.11 132 | 99.32 206 | 99.75 111 | 98.44 243 | 98.26 278 | 99.39 236 | 98.70 197 | 99.74 98 | 99.30 253 | 98.54 139 | 99.97 16 | 98.48 148 | 99.82 152 | 99.55 146 |
jason: jason. |
1121 | | | 98.56 225 | 98.24 237 | 99.52 152 | 99.49 216 | 99.24 175 | 99.30 121 | 99.22 272 | 95.77 317 | 98.52 297 | 99.29 256 | 97.39 224 | 99.85 194 | 95.79 293 | 99.34 265 | 99.46 188 |
|
æ–°å‡ ä½•1 | | | | | 99.52 152 | 99.50 211 | 99.22 179 | | 99.26 264 | 95.66 321 | 98.60 292 | 99.28 257 | 97.67 209 | 99.89 124 | 95.95 288 | 99.32 268 | 99.45 190 |
|
UniMVSNet_NR-MVSNet | | | 99.37 97 | 99.25 114 | 99.72 67 | 99.47 227 | 99.56 92 | 98.97 205 | 99.61 147 | 99.43 106 | 99.67 115 | 99.28 257 | 97.85 196 | 99.95 41 | 99.17 88 | 99.81 160 | 99.65 89 |
|
CP-MVS | | | 99.23 128 | 99.05 152 | 99.75 51 | 99.66 154 | 99.66 70 | 99.38 92 | 99.62 143 | 98.38 222 | 99.06 248 | 99.27 259 | 98.79 97 | 99.94 55 | 97.51 212 | 99.82 152 | 99.66 79 |
|
AdaColmap | | | 98.60 221 | 98.35 231 | 99.38 191 | 99.12 296 | 99.22 179 | 98.67 240 | 99.42 226 | 97.84 260 | 98.81 273 | 99.27 259 | 97.32 228 | 99.81 252 | 95.14 313 | 99.53 239 | 99.10 262 |
|
NCCC | | | 98.82 205 | 98.57 212 | 99.58 130 | 99.21 284 | 99.31 156 | 98.61 241 | 99.25 267 | 98.65 200 | 98.43 303 | 99.26 261 | 97.86 195 | 99.81 252 | 96.55 262 | 99.27 275 | 99.61 117 |
|
TAPA-MVS | | 97.92 13 | 98.03 263 | 97.55 275 | 99.46 167 | 99.47 227 | 99.44 116 | 98.50 257 | 99.62 143 | 86.79 347 | 99.07 247 | 99.26 261 | 98.26 168 | 99.62 331 | 97.28 225 | 99.73 195 | 99.31 228 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
MCST-MVS | | | 99.02 173 | 98.81 193 | 99.65 96 | 99.58 174 | 99.49 101 | 98.58 245 | 99.07 282 | 98.40 220 | 99.04 249 | 99.25 263 | 98.51 147 | 99.80 257 | 97.31 222 | 99.51 241 | 99.65 89 |
|
HQP_MVS | | | 98.90 196 | 98.68 202 | 99.55 145 | 99.58 174 | 99.24 175 | 98.80 228 | 99.54 184 | 98.94 166 | 99.14 239 | 99.25 263 | 97.24 230 | 99.82 233 | 95.84 291 | 99.78 173 | 99.60 123 |
|
plane_prior4 | | | | | | | | | | | | 99.25 263 | | | | | |
|
HPM-MVS | | | 99.25 124 | 99.07 146 | 99.78 37 | 99.81 61 | 99.75 43 | 99.61 60 | 99.67 119 | 97.72 264 | 99.35 204 | 99.25 263 | 99.23 46 | 99.92 83 | 97.21 231 | 99.82 152 | 99.67 69 |
|
PatchMatch-RL | | | 98.68 217 | 98.47 217 | 99.30 210 | 99.44 235 | 99.28 162 | 98.14 288 | 99.54 184 | 97.12 291 | 99.11 242 | 99.25 263 | 97.80 199 | 99.70 295 | 96.51 264 | 99.30 270 | 98.93 282 |
|
Effi-MVS+-dtu | | | 99.07 164 | 98.92 177 | 99.52 152 | 98.89 315 | 99.78 35 | 99.15 167 | 99.66 123 | 99.34 116 | 98.92 264 | 99.24 268 | 97.69 206 | 99.98 7 | 98.11 176 | 99.28 272 | 98.81 291 |
|
test_normal | | | 98.82 205 | 98.67 203 | 99.27 213 | 99.56 194 | 98.83 227 | 98.22 281 | 98.01 318 | 99.03 160 | 99.49 172 | 99.24 268 | 96.21 260 | 99.76 276 | 98.69 138 | 99.56 228 | 99.22 236 |
|
WTY-MVS | | | 98.59 223 | 98.37 229 | 99.26 218 | 99.43 237 | 98.40 246 | 98.74 234 | 99.13 281 | 98.10 244 | 99.21 230 | 99.24 268 | 94.82 275 | 99.90 109 | 97.86 189 | 98.77 302 | 99.49 179 |
|
DI_MVS_plusplus_test | | | 98.80 208 | 98.65 204 | 99.27 213 | 99.57 183 | 98.90 219 | 98.44 266 | 97.95 321 | 99.02 161 | 99.51 168 | 99.23 271 | 96.18 262 | 99.76 276 | 98.52 147 | 99.42 256 | 99.14 253 |
|
CANet | | | 99.11 160 | 99.05 152 | 99.28 211 | 98.83 321 | 98.56 238 | 98.71 239 | 99.41 227 | 99.25 130 | 99.23 226 | 99.22 272 | 97.66 213 | 99.94 55 | 99.19 83 | 99.97 47 | 99.33 223 |
|
tpm2 | | | 96.35 311 | 96.22 305 | 96.73 327 | 98.88 318 | 91.75 345 | 99.21 149 | 98.51 306 | 93.27 340 | 97.89 326 | 99.21 273 | 84.83 347 | 99.70 295 | 96.04 280 | 98.18 334 | 98.75 294 |
|
WR-MVS | | | 99.11 160 | 98.93 174 | 99.66 92 | 99.30 273 | 99.42 126 | 98.42 268 | 99.37 242 | 99.04 159 | 99.57 148 | 99.20 274 | 96.89 245 | 99.86 178 | 98.66 141 | 99.87 119 | 99.70 53 |
|
F-COLMAP | | | 98.74 213 | 98.45 218 | 99.62 115 | 99.57 183 | 99.47 105 | 98.84 221 | 99.65 132 | 96.31 308 | 98.93 262 | 99.19 275 | 97.68 208 | 99.87 158 | 96.52 263 | 99.37 263 | 99.53 156 |
|
1112_ss | | | 99.05 168 | 98.84 188 | 99.67 84 | 99.66 154 | 99.29 160 | 98.52 255 | 99.82 48 | 97.65 269 | 99.43 180 | 99.16 276 | 96.42 256 | 99.91 92 | 99.07 103 | 99.84 133 | 99.80 25 |
|
ab-mvs-re | | | 8.26 339 | 11.02 340 | 0.00 345 | 0.00 359 | 0.00 360 | 0.00 351 | 0.00 361 | 0.00 355 | 0.00 356 | 99.16 276 | 0.00 363 | 0.00 358 | 0.00 355 | 0.00 356 | 0.00 356 |
|
cdsmvs_eth3d_5k | | | 24.88 332 | 33.17 332 | 0.00 345 | 0.00 359 | 0.00 360 | 0.00 351 | 99.62 143 | 0.00 355 | 0.00 356 | 99.13 278 | 99.82 6 | 0.00 358 | 0.00 355 | 0.00 356 | 0.00 356 |
|
lupinMVS | | | 98.96 186 | 98.87 183 | 99.24 223 | 99.57 183 | 98.40 246 | 98.12 290 | 99.18 275 | 98.28 237 | 99.63 130 | 99.13 278 | 98.02 184 | 99.97 16 | 98.22 165 | 99.69 204 | 99.35 220 |
|
PVSNet | | 97.47 15 | 98.42 239 | 98.44 219 | 98.35 287 | 99.46 231 | 96.26 307 | 96.70 343 | 99.34 247 | 97.68 268 | 99.00 252 | 99.13 278 | 97.40 222 | 99.72 289 | 97.59 208 | 99.68 206 | 99.08 268 |
|
CLD-MVS | | | 98.76 212 | 98.57 212 | 99.33 202 | 99.57 183 | 98.97 209 | 97.53 328 | 99.55 180 | 96.41 307 | 99.27 219 | 99.13 278 | 99.07 66 | 99.78 268 | 96.73 254 | 99.89 106 | 99.23 235 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
1314 | | | 98.00 264 | 97.90 262 | 98.27 292 | 98.90 311 | 97.45 292 | 99.30 121 | 99.06 284 | 94.98 328 | 97.21 341 | 99.12 282 | 98.43 153 | 99.67 314 | 95.58 304 | 98.56 321 | 97.71 335 |
|
E-PMN | | | 97.14 290 | 97.43 276 | 96.27 333 | 98.79 326 | 91.62 346 | 95.54 347 | 99.01 287 | 99.44 101 | 98.88 268 | 99.12 282 | 92.78 292 | 99.68 309 | 94.30 324 | 99.03 288 | 97.50 337 |
|
CDPH-MVS | | | 98.56 225 | 98.20 241 | 99.61 118 | 99.50 211 | 99.46 109 | 98.32 275 | 99.41 227 | 95.22 325 | 99.21 230 | 99.10 284 | 98.34 162 | 99.82 233 | 95.09 315 | 99.66 215 | 99.56 143 |
|
conf0.01 | | | 97.19 286 | 96.74 292 | 98.51 278 | 99.73 120 | 98.35 251 | 99.35 99 | 95.78 343 | 96.54 300 | 99.39 193 | 99.08 285 | 86.57 338 | 99.88 139 | 95.69 296 | 98.57 314 | 97.30 341 |
|
conf0.002 | | | 97.19 286 | 96.74 292 | 98.51 278 | 99.73 120 | 98.35 251 | 99.35 99 | 95.78 343 | 96.54 300 | 99.39 193 | 99.08 285 | 86.57 338 | 99.88 139 | 95.69 296 | 98.57 314 | 97.30 341 |
|
thresconf0.02 | | | 97.25 281 | 96.74 292 | 98.75 268 | 99.73 120 | 98.35 251 | 99.35 99 | 95.78 343 | 96.54 300 | 99.39 193 | 99.08 285 | 86.57 338 | 99.88 139 | 95.69 296 | 98.57 314 | 98.02 324 |
|
tfpn_n400 | | | 97.25 281 | 96.74 292 | 98.75 268 | 99.73 120 | 98.35 251 | 99.35 99 | 95.78 343 | 96.54 300 | 99.39 193 | 99.08 285 | 86.57 338 | 99.88 139 | 95.69 296 | 98.57 314 | 98.02 324 |
|
tfpnconf | | | 97.25 281 | 96.74 292 | 98.75 268 | 99.73 120 | 98.35 251 | 99.35 99 | 95.78 343 | 96.54 300 | 99.39 193 | 99.08 285 | 86.57 338 | 99.88 139 | 95.69 296 | 98.57 314 | 98.02 324 |
|
tfpnview11 | | | 97.25 281 | 96.74 292 | 98.75 268 | 99.73 120 | 98.35 251 | 99.35 99 | 95.78 343 | 96.54 300 | 99.39 193 | 99.08 285 | 86.57 338 | 99.88 139 | 95.69 296 | 98.57 314 | 98.02 324 |
|
MVS | | | 95.72 324 | 94.63 327 | 98.99 246 | 98.56 337 | 97.98 280 | 99.30 121 | 98.86 290 | 72.71 352 | 97.30 339 | 99.08 285 | 98.34 162 | 99.74 286 | 89.21 341 | 98.33 328 | 99.26 233 |
|
tfpn1000 | | | 97.28 280 | 96.83 289 | 98.64 275 | 99.67 153 | 97.68 287 | 99.41 83 | 95.47 350 | 97.14 289 | 99.43 180 | 99.07 292 | 85.87 345 | 99.88 139 | 96.78 250 | 98.67 310 | 98.34 310 |
|
HPM-MVS++ | | | 98.96 186 | 98.70 200 | 99.74 55 | 99.52 202 | 99.71 51 | 98.86 217 | 99.19 274 | 98.47 215 | 98.59 293 | 99.06 293 | 98.08 180 | 99.91 92 | 96.94 242 | 99.60 225 | 99.60 123 |
|
Fast-Effi-MVS+-dtu | | | 99.20 141 | 99.12 130 | 99.43 176 | 99.25 279 | 99.69 62 | 99.05 188 | 99.82 48 | 99.50 90 | 98.97 254 | 99.05 294 | 98.98 73 | 99.98 7 | 98.20 167 | 99.24 278 | 98.62 296 |
|
test_prior3 | | | 98.62 219 | 98.34 232 | 99.46 167 | 99.35 253 | 99.22 179 | 97.95 311 | 99.39 236 | 97.87 256 | 98.05 319 | 99.05 294 | 97.90 191 | 99.69 301 | 95.99 284 | 99.49 244 | 99.48 180 |
|
test_prior2 | | | | | | | | 97.95 311 | | 97.87 256 | 98.05 319 | 99.05 294 | 97.90 191 | | 95.99 284 | 99.49 244 | |
|
testgi | | | 99.29 116 | 99.26 112 | 99.37 195 | 99.75 111 | 98.81 228 | 98.84 221 | 99.89 15 | 98.38 222 | 99.75 90 | 99.04 297 | 99.36 33 | 99.86 178 | 99.08 102 | 99.25 276 | 99.45 190 |
|
HSP-MVS | | | 99.01 177 | 98.76 197 | 99.76 42 | 99.78 88 | 99.73 49 | 99.35 99 | 99.31 254 | 98.54 209 | 99.54 161 | 98.99 298 | 96.81 246 | 99.93 66 | 96.97 241 | 99.53 239 | 99.61 117 |
|
TEST9 | | | | | | 99.35 253 | 99.35 150 | 98.11 292 | 99.41 227 | 94.83 333 | 97.92 324 | 98.99 298 | 98.02 184 | 99.85 194 | | | |
|
train_agg | | | 98.35 247 | 97.95 257 | 99.57 136 | 99.35 253 | 99.35 150 | 98.11 292 | 99.41 227 | 94.90 329 | 97.92 324 | 98.99 298 | 98.02 184 | 99.85 194 | 95.38 310 | 99.44 249 | 99.50 173 |
|
agg_prior1 | | | 98.33 250 | 97.92 259 | 99.57 136 | 99.35 253 | 99.36 146 | 97.99 306 | 99.39 236 | 94.85 332 | 97.76 334 | 98.98 301 | 98.03 182 | 99.85 194 | 95.49 305 | 99.44 249 | 99.51 167 |
|
PVSNet_Blended | | | 98.70 216 | 98.59 208 | 99.02 245 | 99.54 197 | 97.99 275 | 97.58 325 | 99.82 48 | 95.70 319 | 99.34 208 | 98.98 301 | 98.52 145 | 99.77 274 | 97.98 183 | 99.83 143 | 99.30 229 |
|
CNLPA | | | 98.57 224 | 98.34 232 | 99.28 211 | 99.18 290 | 99.10 197 | 98.34 273 | 99.41 227 | 98.48 214 | 98.52 297 | 98.98 301 | 97.05 241 | 99.78 268 | 95.59 303 | 99.50 242 | 98.96 279 |
|
test_8 | | | | | | 99.34 263 | 99.31 156 | 98.08 297 | 99.40 233 | 94.90 329 | 97.87 328 | 98.97 304 | 98.02 184 | 99.84 210 | | | |
|
GA-MVS | | | 97.99 265 | 97.68 272 | 98.93 251 | 99.52 202 | 98.04 274 | 97.19 337 | 99.05 285 | 98.32 235 | 98.81 273 | 98.97 304 | 89.89 320 | 99.41 347 | 98.33 157 | 99.05 286 | 99.34 222 |
|
agg_prior3 | | | 98.24 252 | 97.81 265 | 99.53 150 | 99.34 263 | 99.26 168 | 98.09 294 | 99.39 236 | 94.21 337 | 97.77 333 | 98.96 306 | 97.74 203 | 99.84 210 | 95.38 310 | 99.44 249 | 99.50 173 |
|
PLC | | 97.35 16 | 98.36 244 | 97.99 253 | 99.48 162 | 99.32 268 | 99.24 175 | 98.50 257 | 99.51 201 | 95.19 327 | 98.58 294 | 98.96 306 | 96.95 244 | 99.83 226 | 95.63 302 | 99.25 276 | 99.37 215 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
Test4 | | | 98.65 218 | 98.44 219 | 99.27 213 | 99.57 183 | 98.86 225 | 98.43 267 | 99.41 227 | 98.85 176 | 99.57 148 | 98.95 308 | 93.05 289 | 99.75 282 | 98.57 143 | 99.56 228 | 99.19 242 |
|
xiu_mvs_v1_base_debu | | | 99.23 128 | 99.34 92 | 98.91 252 | 99.59 171 | 98.23 260 | 98.47 260 | 99.66 123 | 99.61 75 | 99.68 112 | 98.94 309 | 99.39 24 | 99.97 16 | 99.18 85 | 99.55 234 | 98.51 303 |
|
mvs-test1 | | | 98.83 203 | 98.70 200 | 99.22 225 | 98.89 315 | 99.65 74 | 98.88 214 | 99.66 123 | 99.34 116 | 98.29 306 | 98.94 309 | 97.69 206 | 99.96 33 | 98.11 176 | 98.54 322 | 98.04 323 |
|
Effi-MVS+ | | | 99.06 165 | 98.97 171 | 99.34 200 | 99.31 269 | 98.98 207 | 98.31 276 | 99.91 11 | 98.81 181 | 98.79 276 | 98.94 309 | 99.14 54 | 99.84 210 | 98.79 129 | 98.74 306 | 99.20 240 |
|
xiu_mvs_v1_base | | | 99.23 128 | 99.34 92 | 98.91 252 | 99.59 171 | 98.23 260 | 98.47 260 | 99.66 123 | 99.61 75 | 99.68 112 | 98.94 309 | 99.39 24 | 99.97 16 | 99.18 85 | 99.55 234 | 98.51 303 |
|
xiu_mvs_v1_base_debi | | | 99.23 128 | 99.34 92 | 98.91 252 | 99.59 171 | 98.23 260 | 98.47 260 | 99.66 123 | 99.61 75 | 99.68 112 | 98.94 309 | 99.39 24 | 99.97 16 | 99.18 85 | 99.55 234 | 98.51 303 |
|
EMVS | | | 96.96 293 | 97.28 277 | 95.99 337 | 98.76 330 | 91.03 349 | 95.26 349 | 98.61 302 | 99.34 116 | 98.92 264 | 98.88 314 | 93.79 282 | 99.66 319 | 92.87 330 | 99.05 286 | 97.30 341 |
|
NP-MVS | | | | | | 99.40 244 | 99.13 192 | | | | | 98.83 315 | | | | | |
|
HQP-MVS | | | 98.36 244 | 98.02 252 | 99.39 189 | 99.31 269 | 98.94 212 | 97.98 307 | 99.37 242 | 97.45 279 | 98.15 313 | 98.83 315 | 96.67 248 | 99.70 295 | 94.73 317 | 99.67 212 | 99.53 156 |
|
MAR-MVS | | | 98.24 252 | 97.92 259 | 99.19 229 | 98.78 328 | 99.65 74 | 99.17 159 | 99.14 279 | 95.36 323 | 98.04 321 | 98.81 317 | 97.47 219 | 99.72 289 | 95.47 307 | 99.06 285 | 98.21 317 |
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 |
tfpn_ndepth | | | 96.93 295 | 96.43 303 | 98.42 283 | 99.60 168 | 97.72 283 | 99.22 146 | 95.16 351 | 95.91 313 | 99.26 221 | 98.79 318 | 85.56 346 | 99.87 158 | 96.03 281 | 98.35 327 | 97.68 336 |
|
API-MVS | | | 98.38 243 | 98.39 226 | 98.35 287 | 98.83 321 | 99.26 168 | 99.14 172 | 99.18 275 | 98.59 205 | 98.66 288 | 98.78 319 | 98.61 129 | 99.57 338 | 94.14 326 | 99.56 228 | 96.21 348 |
|
testpf | | | 94.48 327 | 95.31 321 | 91.99 340 | 97.22 352 | 89.64 355 | 98.86 217 | 96.52 338 | 94.36 336 | 96.09 348 | 98.76 320 | 82.21 349 | 98.73 351 | 97.05 238 | 96.74 346 | 87.60 351 |
|
BH-untuned | | | 98.22 255 | 98.09 248 | 98.58 276 | 99.38 248 | 97.24 295 | 98.55 250 | 98.98 288 | 97.81 262 | 99.20 235 | 98.76 320 | 97.01 242 | 99.65 326 | 94.83 316 | 98.33 328 | 98.86 287 |
|
Fast-Effi-MVS+ | | | 99.02 173 | 98.87 183 | 99.46 167 | 99.38 248 | 99.50 99 | 99.04 190 | 99.79 68 | 97.17 287 | 98.62 290 | 98.74 322 | 99.34 34 | 99.95 41 | 98.32 158 | 99.41 258 | 98.92 283 |
|
MVE | | 92.54 22 | 96.66 304 | 96.11 308 | 98.31 290 | 99.68 149 | 97.55 290 | 97.94 313 | 95.60 349 | 99.37 113 | 90.68 353 | 98.70 323 | 96.56 250 | 98.61 353 | 86.94 351 | 99.55 234 | 98.77 293 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
PAPM | | | 95.61 325 | 94.71 326 | 98.31 290 | 99.12 296 | 96.63 302 | 96.66 344 | 98.46 309 | 90.77 345 | 96.25 346 | 98.68 324 | 93.01 290 | 99.69 301 | 81.60 352 | 97.86 341 | 98.62 296 |
|
test-LLR | | | 97.15 288 | 96.95 285 | 97.74 310 | 98.18 345 | 95.02 329 | 97.38 331 | 96.10 339 | 98.00 247 | 97.81 330 | 98.58 325 | 90.04 318 | 99.91 92 | 97.69 203 | 98.78 300 | 98.31 311 |
|
test-mter | | | 96.23 315 | 95.73 317 | 97.74 310 | 98.18 345 | 95.02 329 | 97.38 331 | 96.10 339 | 97.90 254 | 97.81 330 | 98.58 325 | 79.12 357 | 99.91 92 | 97.69 203 | 98.78 300 | 98.31 311 |
|
PAPM_NR | | | 98.36 244 | 98.04 251 | 99.33 202 | 99.48 222 | 98.93 216 | 98.79 231 | 99.28 261 | 97.54 276 | 98.56 296 | 98.57 327 | 97.12 238 | 99.69 301 | 94.09 327 | 98.90 293 | 99.38 211 |
|
TESTMET0.1,1 | | | 96.24 314 | 95.84 315 | 97.41 318 | 98.24 343 | 93.84 334 | 97.38 331 | 95.84 342 | 98.43 216 | 97.81 330 | 98.56 328 | 79.77 356 | 99.89 124 | 97.77 194 | 98.77 302 | 98.52 302 |
|
xiu_mvs_v2_base | | | 99.02 173 | 99.11 132 | 98.77 266 | 99.37 250 | 98.09 271 | 98.13 289 | 99.51 201 | 99.47 96 | 99.42 182 | 98.54 329 | 99.38 28 | 99.97 16 | 98.83 126 | 99.33 267 | 98.24 315 |
|
TR-MVS | | | 97.44 275 | 97.15 279 | 98.32 289 | 98.53 338 | 97.46 291 | 98.47 260 | 97.91 322 | 96.85 295 | 98.21 312 | 98.51 330 | 96.42 256 | 99.51 341 | 92.16 332 | 97.29 344 | 97.98 328 |
|
PS-MVSNAJ | | | 99.00 180 | 99.08 142 | 98.76 267 | 99.37 250 | 98.10 270 | 98.00 304 | 99.51 201 | 99.47 96 | 99.41 188 | 98.50 331 | 99.28 39 | 99.97 16 | 98.83 126 | 99.34 265 | 98.20 319 |
|
testus | | | 98.15 257 | 98.06 250 | 98.40 285 | 99.11 299 | 95.95 312 | 96.77 341 | 99.89 15 | 95.83 315 | 99.23 226 | 98.47 332 | 97.50 218 | 99.84 210 | 96.58 261 | 99.20 281 | 99.39 208 |
|
gm-plane-assit | | | | | | 97.59 349 | 89.02 356 | | | 93.47 339 | | 98.30 333 | | 99.84 210 | 96.38 268 | | |
|
DeepMVS_CX | | | | | 97.98 297 | 99.69 142 | 96.95 299 | | 99.26 264 | 75.51 351 | 95.74 350 | 98.28 334 | 96.47 254 | 99.62 331 | 91.23 335 | 97.89 340 | 97.38 339 |
|
PAPR | | | 97.56 274 | 97.07 280 | 99.04 243 | 98.80 325 | 98.11 269 | 97.63 323 | 99.25 267 | 94.56 335 | 98.02 322 | 98.25 335 | 97.43 221 | 99.68 309 | 90.90 336 | 98.74 306 | 99.33 223 |
|
PMMVS | | | 98.49 232 | 98.29 235 | 99.11 234 | 98.96 308 | 98.42 245 | 97.54 326 | 99.32 250 | 97.53 277 | 98.47 302 | 98.15 336 | 97.88 194 | 99.82 233 | 97.46 214 | 99.24 278 | 99.09 265 |
|
test0.0.03 1 | | | 97.37 277 | 96.91 287 | 98.74 272 | 97.72 348 | 97.57 289 | 97.60 324 | 97.36 336 | 98.00 247 | 99.21 230 | 98.02 337 | 90.04 318 | 99.79 260 | 98.37 153 | 95.89 350 | 98.86 287 |
|
BH-w/o | | | 97.20 285 | 97.01 283 | 97.76 308 | 99.08 302 | 95.69 322 | 98.03 301 | 98.52 305 | 95.76 318 | 97.96 323 | 98.02 337 | 95.62 269 | 99.47 343 | 92.82 331 | 97.25 345 | 98.12 321 |
|
alignmvs | | | 98.28 251 | 97.96 256 | 99.25 221 | 99.12 296 | 98.93 216 | 99.03 192 | 98.42 311 | 99.64 67 | 98.72 282 | 97.85 339 | 90.86 309 | 99.62 331 | 98.88 124 | 99.13 282 | 99.19 242 |
|
test2356 | | | 95.99 320 | 95.26 323 | 98.18 293 | 96.93 353 | 95.53 325 | 95.31 348 | 98.71 299 | 95.67 320 | 98.48 301 | 97.83 340 | 80.72 353 | 99.88 139 | 95.47 307 | 98.21 330 | 99.11 258 |
|
view600 | | | 96.86 296 | 96.52 299 | 97.88 301 | 99.69 142 | 95.87 318 | 99.39 86 | 97.68 325 | 99.11 152 | 98.96 256 | 97.82 341 | 87.40 324 | 99.79 260 | 89.78 337 | 98.83 295 | 97.98 328 |
|
view800 | | | 96.86 296 | 96.52 299 | 97.88 301 | 99.69 142 | 95.87 318 | 99.39 86 | 97.68 325 | 99.11 152 | 98.96 256 | 97.82 341 | 87.40 324 | 99.79 260 | 89.78 337 | 98.83 295 | 97.98 328 |
|
conf0.05thres1000 | | | 96.86 296 | 96.52 299 | 97.88 301 | 99.69 142 | 95.87 318 | 99.39 86 | 97.68 325 | 99.11 152 | 98.96 256 | 97.82 341 | 87.40 324 | 99.79 260 | 89.78 337 | 98.83 295 | 97.98 328 |
|
tfpn | | | 96.86 296 | 96.52 299 | 97.88 301 | 99.69 142 | 95.87 318 | 99.39 86 | 97.68 325 | 99.11 152 | 98.96 256 | 97.82 341 | 87.40 324 | 99.79 260 | 89.78 337 | 98.83 295 | 97.98 328 |
|
PVSNet_0 | | 95.53 19 | 95.85 322 | 95.31 321 | 97.47 316 | 98.78 328 | 93.48 336 | 95.72 346 | 99.40 233 | 96.18 310 | 97.37 338 | 97.73 345 | 95.73 267 | 99.58 337 | 95.49 305 | 81.40 352 | 99.36 218 |
|
canonicalmvs | | | 99.02 173 | 99.00 164 | 99.09 236 | 99.10 301 | 98.70 232 | 99.61 60 | 99.66 123 | 99.63 70 | 98.64 289 | 97.65 346 | 99.04 70 | 99.54 339 | 98.79 129 | 98.92 291 | 99.04 275 |
|
DWT-MVSNet_test | | | 96.03 319 | 95.80 316 | 96.71 329 | 98.50 339 | 91.93 342 | 99.25 138 | 97.87 323 | 95.99 312 | 96.81 343 | 97.61 347 | 81.02 352 | 99.66 319 | 97.20 232 | 97.98 339 | 98.54 301 |
|
cascas | | | 96.99 292 | 96.82 290 | 97.48 315 | 97.57 351 | 95.64 323 | 96.43 345 | 99.56 177 | 91.75 342 | 97.13 342 | 97.61 347 | 95.58 270 | 98.63 352 | 96.68 256 | 99.11 283 | 98.18 320 |
|
IB-MVS | | 95.41 20 | 95.30 326 | 94.46 328 | 97.84 306 | 98.76 330 | 95.33 327 | 97.33 334 | 96.07 341 | 96.02 311 | 95.37 351 | 97.41 349 | 76.17 358 | 99.96 33 | 97.54 210 | 95.44 351 | 98.22 316 |
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 |
thres600view7 | | | 96.60 305 | 96.16 306 | 97.93 299 | 99.63 160 | 96.09 311 | 99.18 152 | 97.57 329 | 98.77 187 | 98.72 282 | 97.32 350 | 87.04 329 | 99.72 289 | 88.57 342 | 98.62 312 | 97.98 328 |
|
tfpn111 | | | 96.50 307 | 96.12 307 | 97.65 312 | 99.63 160 | 95.93 313 | 99.18 152 | 97.57 329 | 98.75 192 | 98.70 284 | 97.31 351 | 87.04 329 | 99.72 289 | 88.27 344 | 98.61 313 | 97.30 341 |
|
conf200view11 | | | 96.43 308 | 96.03 310 | 97.63 313 | 99.63 160 | 95.93 313 | 99.18 152 | 97.57 329 | 98.75 192 | 98.70 284 | 97.31 351 | 87.04 329 | 99.67 314 | 87.62 346 | 98.51 323 | 97.30 341 |
|
thres100view900 | | | 96.39 310 | 96.03 310 | 97.47 316 | 99.63 160 | 95.93 313 | 99.18 152 | 97.57 329 | 98.75 192 | 98.70 284 | 97.31 351 | 87.04 329 | 99.67 314 | 87.62 346 | 98.51 323 | 96.81 346 |
|
GG-mvs-BLEND | | | | | 97.36 319 | 97.59 349 | 96.87 301 | 99.70 29 | 88.49 358 | | 94.64 352 | 97.26 354 | 80.66 354 | 99.12 348 | 91.50 334 | 96.50 348 | 96.08 350 |
|
PatchFormer-LS_test | | | 96.95 294 | 97.07 280 | 96.62 330 | 98.76 330 | 91.85 343 | 99.18 152 | 98.45 310 | 97.29 286 | 97.73 336 | 97.22 355 | 88.77 322 | 99.76 276 | 98.13 175 | 98.04 337 | 98.25 314 |
|
tfpn200view9 | | | 96.30 313 | 95.89 312 | 97.53 314 | 99.58 174 | 96.11 309 | 99.00 197 | 97.54 334 | 98.43 216 | 98.52 297 | 96.98 356 | 86.85 333 | 99.67 314 | 87.62 346 | 98.51 323 | 96.81 346 |
|
thres400 | | | 96.40 309 | 95.89 312 | 97.92 300 | 99.58 174 | 96.11 309 | 99.00 197 | 97.54 334 | 98.43 216 | 98.52 297 | 96.98 356 | 86.85 333 | 99.67 314 | 87.62 346 | 98.51 323 | 97.98 328 |
|
thres200 | | | 96.09 317 | 95.68 318 | 97.33 320 | 99.48 222 | 96.22 308 | 98.53 254 | 97.57 329 | 98.06 246 | 98.37 305 | 96.73 358 | 86.84 335 | 99.61 335 | 86.99 350 | 98.57 314 | 96.16 349 |
|
X-MVStestdata | | | 96.09 317 | 94.87 325 | 99.75 51 | 99.71 133 | 99.71 51 | 99.37 96 | 99.61 147 | 99.29 120 | 98.76 279 | 61.30 359 | 98.47 149 | 99.88 139 | 97.62 205 | 99.73 195 | 99.67 69 |
|
test_post | | | | | | | | | | | | 52.41 360 | 90.25 316 | 99.86 178 | | | |
|
test_post1 | | | | | | | | 99.14 172 | | | | 51.63 361 | 89.54 321 | 99.82 233 | 96.86 246 | | |
|
testmvs | | | 28.94 331 | 33.33 331 | 15.79 344 | 26.03 357 | 9.81 359 | 96.77 341 | 15.67 359 | 11.55 354 | 23.87 355 | 50.74 362 | 19.03 362 | 8.53 357 | 23.21 354 | 33.07 353 | 29.03 354 |
|
test123 | | | 29.31 330 | 33.05 333 | 18.08 343 | 25.93 358 | 12.24 358 | 97.53 328 | 10.93 360 | 11.78 353 | 24.21 354 | 50.08 363 | 21.04 361 | 8.60 356 | 23.51 353 | 32.43 355 | 33.39 353 |
|
GSMVS | | | | | | | | | | | | | | | | | 99.14 253 |
|
test_part2 | | | | | | 99.62 165 | 99.67 67 | | | | 99.55 158 | | | | | | |
|
test_part1 | | | | | | | | | 99.53 189 | | | | 98.40 157 | | | 99.68 206 | 99.66 79 |
|
sam_mvs1 | | | | | | | | | | | | | 90.81 310 | | | | 99.14 253 |
|
sam_mvs | | | | | | | | | | | | | 90.52 314 | | | | |
|
MTGPA | | | | | | | | | 99.53 189 | | | | | | | | |
|
MTMP | | | | | | | | | 98.59 304 | | | | | | | | |
|
test9_res | | | | | | | | | | | | | | | 95.10 314 | 99.44 249 | 99.50 173 |
|
agg_prior2 | | | | | | | | | | | | | | | 94.58 320 | 99.46 248 | 99.50 173 |
|
agg_prior | | | | | | 99.35 253 | 99.36 146 | | 99.39 236 | | 97.76 334 | | | 99.85 194 | | | |
|
test_prior4 | | | | | | | 99.19 187 | 98.00 304 | | | | | | | | | |
|
test_prior | | | | | 99.46 167 | 99.35 253 | 99.22 179 | | 99.39 236 | | | | | 99.69 301 | | | 99.48 180 |
|
旧先验2 | | | | | | | | 97.94 313 | | 95.33 324 | 98.94 261 | | | 99.88 139 | 96.75 252 | | |
|
æ–°å‡ ä½•2 | | | | | | | | 98.04 300 | | | | | | | | | |
|
æ— å…ˆéªŒ | | | | | | | | 98.01 302 | 99.23 271 | 95.83 315 | | | | 99.85 194 | 95.79 293 | | 99.44 195 |
|
原ACMM2 | | | | | | | | 97.92 315 | | | | | | | | | |
|
testdata2 | | | | | | | | | | | | | | 99.89 124 | 95.99 284 | | |
|
segment_acmp | | | | | | | | | | | | | 98.37 160 | | | | |
|
testdata1 | | | | | | | | 97.72 322 | | 97.86 259 | | | | | | | |
|
test12 | | | | | 99.54 149 | 99.29 274 | 99.33 153 | | 99.16 277 | | 98.43 303 | | 97.54 216 | 99.82 233 | | 99.47 246 | 99.48 180 |
|
plane_prior7 | | | | | | 99.58 174 | 99.38 140 | | | | | | | | | | |
|
plane_prior6 | | | | | | 99.47 227 | 99.26 168 | | | | | | 97.24 230 | | | | |
|
plane_prior5 | | | | | | | | | 99.54 184 | | | | | 99.82 233 | 95.84 291 | 99.78 173 | 99.60 123 |
|
plane_prior3 | | | | | | | 99.31 156 | | | 98.36 224 | 99.14 239 | | | | | | |
|
plane_prior2 | | | | | | | | 98.80 228 | | 98.94 166 | | | | | | | |
|
plane_prior1 | | | | | | 99.51 206 | | | | | | | | | | | |
|
plane_prior | | | | | | | 99.24 175 | 98.42 268 | | 97.87 256 | | | | | | 99.71 201 | |
|
n2 | | | | | | | | | 0.00 361 | | | | | | | | |
|
nn | | | | | | | | | 0.00 361 | | | | | | | | |
|
door-mid | | | | | | | | | 99.83 40 | | | | | | | | |
|
test11 | | | | | | | | | 99.29 258 | | | | | | | | |
|
door | | | | | | | | | 99.77 73 | | | | | | | | |
|
HQP5-MVS | | | | | | | 98.94 212 | | | | | | | | | | |
|
HQP-NCC | | | | | | 99.31 269 | | 97.98 307 | | 97.45 279 | 98.15 313 | | | | | | |
|
ACMP_Plane | | | | | | 99.31 269 | | 97.98 307 | | 97.45 279 | 98.15 313 | | | | | | |
|
BP-MVS | | | | | | | | | | | | | | | 94.73 317 | | |
|
HQP4-MVS | | | | | | | | | | | 98.15 313 | | | 99.70 295 | | | 99.53 156 |
|
HQP3-MVS | | | | | | | | | 99.37 242 | | | | | | | 99.67 212 | |
|
HQP2-MVS | | | | | | | | | | | | | 96.67 248 | | | | |
|
MDTV_nov1_ep13_2view | | | | | | | 91.44 348 | 99.14 172 | | 97.37 283 | 99.21 230 | | 91.78 301 | | 96.75 252 | | 99.03 276 |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 99.94 77 | |
|
ACMMP++ | | | | | | | | | | | | | | | | 99.79 168 | |
|
Test By Simon | | | | | | | | | | | | | 98.41 155 | | | | |
|