FMVS2 | | | 99.83 11 | 99.93 2 | 99.53 163 | 99.96 4 | 98.62 268 | 99.67 47 | 100.00 1 | 99.95 4 | 100.00 1 | 99.95 13 | 99.85 3 | 99.99 6 | 99.98 1 | 99.99 12 | 99.98 1 |
|
FMVS | | | 99.75 17 | 99.88 5 | 99.37 215 | 99.96 4 | 98.21 291 | 99.51 84 | 100.00 1 | 99.94 8 | 100.00 1 | 99.93 17 | 99.58 22 | 99.94 62 | 99.97 2 | 99.99 12 | 99.97 2 |
|
mvsany_test | | | 99.85 7 | 99.88 5 | 99.75 60 | 99.95 12 | 99.37 168 | 99.53 81 | 99.98 4 | 99.77 52 | 99.99 5 | 99.95 13 | 99.85 3 | 99.94 62 | 99.95 3 | 99.98 28 | 99.94 4 |
|
LCM-MVSNet | | | 99.95 1 | 99.95 1 | 99.95 1 | 99.99 1 | 99.99 1 | 99.95 2 | 99.97 5 | 99.99 1 | 100.00 1 | 99.98 10 | 99.78 8 | 100.00 1 | 99.92 4 | 100.00 1 | 99.87 12 |
|
v1921920 | | | 99.56 53 | 99.57 51 | 99.55 157 | 99.75 106 | 99.11 218 | 99.05 201 | 99.61 154 | 99.15 164 | 99.88 39 | 99.71 117 | 99.08 72 | 99.87 189 | 99.90 5 | 99.97 39 | 99.66 84 |
|
v1240 | | | 99.56 53 | 99.58 48 | 99.51 169 | 99.80 66 | 99.00 230 | 99.00 211 | 99.65 136 | 99.15 164 | 99.90 29 | 99.75 98 | 99.09 68 | 99.88 176 | 99.90 5 | 99.96 53 | 99.67 74 |
|
v10 | | | 99.69 26 | 99.69 24 | 99.66 105 | 99.81 61 | 99.39 162 | 99.66 52 | 99.75 82 | 99.60 93 | 99.92 22 | 99.87 36 | 98.75 117 | 99.86 209 | 99.90 5 | 99.99 12 | 99.73 50 |
|
v1192 | | | 99.57 50 | 99.57 51 | 99.57 150 | 99.77 91 | 99.22 204 | 99.04 203 | 99.60 167 | 99.18 154 | 99.87 48 | 99.72 110 | 99.08 72 | 99.85 227 | 99.89 8 | 99.98 28 | 99.66 84 |
|
v144192 | | | 99.55 56 | 99.54 56 | 99.58 144 | 99.78 83 | 99.20 210 | 99.11 189 | 99.62 147 | 99.18 154 | 99.89 33 | 99.72 110 | 98.66 128 | 99.87 189 | 99.88 9 | 99.97 39 | 99.66 84 |
|
v8 | | | 99.68 29 | 99.69 24 | 99.65 110 | 99.80 66 | 99.40 160 | 99.66 52 | 99.76 75 | 99.64 79 | 99.93 18 | 99.85 46 | 98.66 128 | 99.84 244 | 99.88 9 | 99.99 12 | 99.71 54 |
|
v1144 | | | 99.54 58 | 99.53 60 | 99.59 140 | 99.79 76 | 99.28 187 | 99.10 190 | 99.61 154 | 99.20 152 | 99.84 54 | 99.73 104 | 98.67 126 | 99.84 244 | 99.86 11 | 99.98 28 | 99.64 101 |
|
v7n | | | 99.82 12 | 99.80 13 | 99.88 12 | 99.96 4 | 99.84 22 | 99.82 8 | 99.82 45 | 99.84 35 | 99.94 15 | 99.91 24 | 99.13 65 | 99.96 38 | 99.83 12 | 99.99 12 | 99.83 21 |
|
v2v482 | | | 99.50 62 | 99.47 64 | 99.58 144 | 99.78 83 | 99.25 195 | 99.14 177 | 99.58 184 | 99.25 143 | 99.81 66 | 99.62 176 | 98.24 184 | 99.84 244 | 99.83 12 | 99.97 39 | 99.64 101 |
|
V42 | | | 99.56 53 | 99.54 56 | 99.63 124 | 99.79 76 | 99.46 141 | 99.39 103 | 99.59 174 | 99.24 145 | 99.86 49 | 99.70 124 | 98.55 143 | 99.82 266 | 99.79 14 | 99.95 62 | 99.60 131 |
|
mvs_tets | | | 99.90 2 | 99.90 3 | 99.90 5 | 99.96 4 | 99.79 43 | 99.72 29 | 99.88 23 | 99.92 11 | 99.98 6 | 99.93 17 | 99.94 1 | 99.98 10 | 99.77 15 | 100.00 1 | 99.92 6 |
|
PS-MVSNAJss | | | 99.84 9 | 99.82 11 | 99.89 8 | 99.96 4 | 99.77 49 | 99.68 43 | 99.85 32 | 99.95 4 | 99.98 6 | 99.92 21 | 99.28 46 | 99.98 10 | 99.75 16 | 100.00 1 | 99.94 4 |
|
jajsoiax | | | 99.89 3 | 99.89 4 | 99.89 8 | 99.96 4 | 99.78 46 | 99.70 34 | 99.86 28 | 99.89 18 | 99.98 6 | 99.90 26 | 99.94 1 | 99.98 10 | 99.75 16 | 100.00 1 | 99.90 7 |
|
ANet_high | | | 99.88 4 | 99.87 7 | 99.91 2 | 99.99 1 | 99.91 4 | 99.65 58 | 100.00 1 | 99.90 13 | 100.00 1 | 99.97 11 | 99.61 19 | 99.97 20 | 99.75 16 | 100.00 1 | 99.84 17 |
|
CS-MVS-test | | | 99.68 29 | 99.70 20 | 99.64 117 | 99.57 180 | 99.83 27 | 99.78 11 | 99.97 5 | 99.92 11 | 99.50 192 | 99.38 268 | 99.57 23 | 99.95 48 | 99.69 19 | 99.90 95 | 99.15 284 |
|
RRT_MVS | | | 99.67 32 | 99.59 44 | 99.91 2 | 99.94 14 | 99.88 11 | 99.78 11 | 99.27 294 | 99.87 24 | 99.91 24 | 99.87 36 | 98.04 202 | 99.96 38 | 99.68 20 | 99.99 12 | 99.90 7 |
|
CS-MVS | | | 99.67 32 | 99.70 20 | 99.58 144 | 99.53 198 | 99.84 22 | 99.79 10 | 99.96 9 | 99.90 13 | 99.61 153 | 99.41 258 | 99.51 27 | 99.95 48 | 99.66 21 | 99.89 104 | 98.96 317 |
|
pmmvs6 | | | 99.86 6 | 99.86 9 | 99.83 24 | 99.94 14 | 99.90 7 | 99.83 6 | 99.91 15 | 99.85 32 | 99.94 15 | 99.95 13 | 99.73 10 | 99.90 143 | 99.65 22 | 99.97 39 | 99.69 61 |
|
MIMVSNet1 | | | 99.66 34 | 99.62 35 | 99.80 32 | 99.94 14 | 99.87 13 | 99.69 40 | 99.77 70 | 99.78 49 | 99.93 18 | 99.89 30 | 97.94 211 | 99.92 99 | 99.65 22 | 99.98 28 | 99.62 117 |
|
DROMVSNet | | | 99.69 26 | 99.69 24 | 99.68 95 | 99.71 122 | 99.91 4 | 99.76 18 | 99.96 9 | 99.86 27 | 99.51 190 | 99.39 266 | 99.57 23 | 99.93 79 | 99.64 24 | 99.86 131 | 99.20 273 |
|
K. test v3 | | | 98.87 213 | 98.60 223 | 99.69 94 | 99.93 20 | 99.46 141 | 99.74 23 | 94.97 377 | 99.78 49 | 99.88 39 | 99.88 33 | 93.66 314 | 99.97 20 | 99.61 25 | 99.95 62 | 99.64 101 |
|
KD-MVS_self_test | | | 99.63 40 | 99.59 44 | 99.76 50 | 99.84 43 | 99.90 7 | 99.37 109 | 99.79 62 | 99.83 38 | 99.88 39 | 99.85 46 | 98.42 164 | 99.90 143 | 99.60 26 | 99.73 207 | 99.49 195 |
|
Anonymous20240521 | | | 99.44 77 | 99.42 76 | 99.49 175 | 99.89 29 | 98.96 236 | 99.62 61 | 99.76 75 | 99.85 32 | 99.82 59 | 99.88 33 | 96.39 281 | 99.97 20 | 99.59 27 | 99.98 28 | 99.55 157 |
|
TransMVSNet (Re) | | | 99.78 15 | 99.77 15 | 99.81 29 | 99.91 23 | 99.85 17 | 99.75 21 | 99.86 28 | 99.70 62 | 99.91 24 | 99.89 30 | 99.60 21 | 99.87 189 | 99.59 27 | 99.74 200 | 99.71 54 |
|
OurMVSNet-221017-0 | | | 99.75 17 | 99.71 19 | 99.84 22 | 99.96 4 | 99.83 27 | 99.83 6 | 99.85 32 | 99.80 44 | 99.93 18 | 99.93 17 | 98.54 145 | 99.93 79 | 99.59 27 | 99.98 28 | 99.76 45 |
|
EU-MVSNet | | | 99.39 92 | 99.62 35 | 98.72 303 | 99.88 33 | 96.44 344 | 99.56 78 | 99.85 32 | 99.90 13 | 99.90 29 | 99.85 46 | 98.09 198 | 99.83 256 | 99.58 30 | 99.95 62 | 99.90 7 |
|
mvsmamba | | | 99.74 20 | 99.70 20 | 99.85 19 | 99.93 20 | 99.83 27 | 99.76 18 | 99.81 54 | 99.96 2 | 99.91 24 | 99.81 62 | 98.60 136 | 99.94 62 | 99.58 30 | 99.98 28 | 99.77 40 |
|
mvs_anonymous | | | 99.28 119 | 99.39 79 | 98.94 277 | 99.19 309 | 97.81 313 | 99.02 207 | 99.55 197 | 99.78 49 | 99.85 51 | 99.80 65 | 98.24 184 | 99.86 209 | 99.57 32 | 99.50 279 | 99.15 284 |
|
test1111 | | | 97.74 299 | 98.16 272 | 96.49 358 | 99.60 161 | 89.86 387 | 99.71 33 | 91.21 384 | 99.89 18 | 99.88 39 | 99.87 36 | 93.73 313 | 99.90 143 | 99.56 33 | 99.99 12 | 99.70 57 |
|
lessismore_v0 | | | | | 99.64 117 | 99.86 39 | 99.38 165 | | 90.66 385 | | 99.89 33 | 99.83 52 | 94.56 304 | 99.97 20 | 99.56 33 | 99.92 85 | 99.57 151 |
|
bld_raw_dy_0_64 | | | 99.70 23 | 99.65 30 | 99.85 19 | 99.95 12 | 99.77 49 | 99.66 52 | 99.71 102 | 99.95 4 | 99.91 24 | 99.77 89 | 98.35 173 | 100.00 1 | 99.54 35 | 99.99 12 | 99.79 34 |
|
pm-mvs1 | | | 99.79 14 | 99.79 14 | 99.78 40 | 99.91 23 | 99.83 27 | 99.76 18 | 99.87 25 | 99.73 54 | 99.89 33 | 99.87 36 | 99.63 16 | 99.87 189 | 99.54 35 | 99.92 85 | 99.63 106 |
|
LTVRE_ROB | | 99.19 1 | 99.88 4 | 99.87 7 | 99.88 12 | 99.91 23 | 99.90 7 | 99.96 1 | 99.92 12 | 99.90 13 | 99.97 9 | 99.87 36 | 99.81 7 | 99.95 48 | 99.54 35 | 99.99 12 | 99.80 28 |
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 |
DSMNet-mixed | | | 99.48 66 | 99.65 30 | 98.95 276 | 99.71 122 | 97.27 328 | 99.50 85 | 99.82 45 | 99.59 95 | 99.41 217 | 99.85 46 | 99.62 18 | 100.00 1 | 99.53 38 | 99.89 104 | 99.59 140 |
|
test2506 | | | 94.73 348 | 94.59 350 | 95.15 364 | 99.59 165 | 85.90 389 | 99.75 21 | 74.01 390 | 99.89 18 | 99.71 111 | 99.86 43 | 79.00 388 | 99.90 143 | 99.52 39 | 99.99 12 | 99.65 92 |
|
UniMVSNet_ETH3D | | | 99.85 7 | 99.83 10 | 99.90 5 | 99.89 29 | 99.91 4 | 99.89 4 | 99.71 102 | 99.93 9 | 99.95 14 | 99.89 30 | 99.71 11 | 99.96 38 | 99.51 40 | 99.97 39 | 99.84 17 |
|
FC-MVSNet-test | | | 99.70 23 | 99.65 30 | 99.86 17 | 99.88 33 | 99.86 16 | 99.72 29 | 99.78 67 | 99.90 13 | 99.82 59 | 99.83 52 | 98.45 160 | 99.87 189 | 99.51 40 | 99.97 39 | 99.86 14 |
|
UA-Net | | | 99.78 15 | 99.76 17 | 99.86 17 | 99.72 119 | 99.71 76 | 99.91 3 | 99.95 11 | 99.96 2 | 99.71 111 | 99.91 24 | 99.15 60 | 99.97 20 | 99.50 42 | 100.00 1 | 99.90 7 |
|
PMMVS2 | | | 99.48 66 | 99.45 69 | 99.57 150 | 99.76 95 | 98.99 231 | 98.09 311 | 99.90 18 | 98.95 186 | 99.78 77 | 99.58 202 | 99.57 23 | 99.93 79 | 99.48 43 | 99.95 62 | 99.79 34 |
|
VPA-MVSNet | | | 99.66 34 | 99.62 35 | 99.79 37 | 99.68 142 | 99.75 61 | 99.62 61 | 99.69 114 | 99.85 32 | 99.80 69 | 99.81 62 | 98.81 102 | 99.91 123 | 99.47 44 | 99.88 113 | 99.70 57 |
|
ECVR-MVS |  | | 97.73 300 | 98.04 278 | 96.78 352 | 99.59 165 | 90.81 383 | 99.72 29 | 90.43 386 | 99.89 18 | 99.86 49 | 99.86 43 | 93.60 315 | 99.89 161 | 99.46 45 | 99.99 12 | 99.65 92 |
|
nrg030 | | | 99.70 23 | 99.66 28 | 99.82 26 | 99.76 95 | 99.84 22 | 99.61 66 | 99.70 108 | 99.93 9 | 99.78 77 | 99.68 141 | 99.10 66 | 99.78 293 | 99.45 46 | 99.96 53 | 99.83 21 |
|
TAMVS | | | 99.49 64 | 99.45 69 | 99.63 124 | 99.48 226 | 99.42 155 | 99.45 94 | 99.57 186 | 99.66 75 | 99.78 77 | 99.83 52 | 97.85 220 | 99.86 209 | 99.44 47 | 99.96 53 | 99.61 127 |
|
GeoE | | | 99.69 26 | 99.66 28 | 99.78 40 | 99.76 95 | 99.76 57 | 99.60 71 | 99.82 45 | 99.46 112 | 99.75 92 | 99.56 215 | 99.63 16 | 99.95 48 | 99.43 48 | 99.88 113 | 99.62 117 |
|
new-patchmatchnet | | | 99.35 102 | 99.57 51 | 98.71 305 | 99.82 54 | 96.62 342 | 98.55 270 | 99.75 82 | 99.50 101 | 99.88 39 | 99.87 36 | 99.31 42 | 99.88 176 | 99.43 48 | 100.00 1 | 99.62 117 |
|
test20.03 | | | 99.55 56 | 99.54 56 | 99.58 144 | 99.79 76 | 99.37 168 | 99.02 207 | 99.89 19 | 99.60 93 | 99.82 59 | 99.62 176 | 98.81 102 | 99.89 161 | 99.43 48 | 99.86 131 | 99.47 205 |
|
MVSFormer | | | 99.41 85 | 99.44 71 | 99.31 230 | 99.57 180 | 98.40 280 | 99.77 14 | 99.80 56 | 99.73 54 | 99.63 138 | 99.30 289 | 98.02 205 | 99.98 10 | 99.43 48 | 99.69 221 | 99.55 157 |
|
test_djsdf | | | 99.84 9 | 99.81 12 | 99.91 2 | 99.94 14 | 99.84 22 | 99.77 14 | 99.80 56 | 99.73 54 | 99.97 9 | 99.92 21 | 99.77 9 | 99.98 10 | 99.43 48 | 100.00 1 | 99.90 7 |
|
Anonymous20231211 | | | 99.62 45 | 99.57 51 | 99.76 50 | 99.61 159 | 99.60 115 | 99.81 9 | 99.73 90 | 99.82 40 | 99.90 29 | 99.90 26 | 97.97 210 | 99.86 209 | 99.42 53 | 99.96 53 | 99.80 28 |
|
SixPastTwentyTwo | | | 99.42 81 | 99.30 100 | 99.76 50 | 99.92 22 | 99.67 92 | 99.70 34 | 99.14 317 | 99.65 77 | 99.89 33 | 99.90 26 | 96.20 286 | 99.94 62 | 99.42 53 | 99.92 85 | 99.67 74 |
|
patch_mono-2 | | | 99.51 61 | 99.46 68 | 99.64 117 | 99.70 130 | 99.11 218 | 99.04 203 | 99.87 25 | 99.71 58 | 99.47 197 | 99.79 75 | 98.24 184 | 99.98 10 | 99.38 55 | 99.96 53 | 99.83 21 |
|
UGNet | | | 99.38 94 | 99.34 89 | 99.49 175 | 98.90 344 | 98.90 246 | 99.70 34 | 99.35 276 | 99.86 27 | 98.57 326 | 99.81 62 | 98.50 155 | 99.93 79 | 99.38 55 | 99.98 28 | 99.66 84 |
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 |
XXY-MVS | | | 99.71 22 | 99.67 27 | 99.81 29 | 99.89 29 | 99.72 74 | 99.59 72 | 99.82 45 | 99.39 125 | 99.82 59 | 99.84 51 | 99.38 34 | 99.91 123 | 99.38 55 | 99.93 81 | 99.80 28 |
|
iter_conf_final | | | 98.75 225 | 98.54 233 | 99.40 204 | 99.33 281 | 98.75 255 | 99.26 139 | 99.59 174 | 99.80 44 | 99.76 84 | 99.58 202 | 90.17 353 | 99.92 99 | 99.37 58 | 99.97 39 | 99.54 165 |
|
FIs | | | 99.65 39 | 99.58 48 | 99.84 22 | 99.84 43 | 99.85 17 | 99.66 52 | 99.75 82 | 99.86 27 | 99.74 101 | 99.79 75 | 98.27 182 | 99.85 227 | 99.37 58 | 99.93 81 | 99.83 21 |
|
anonymousdsp | | | 99.80 13 | 99.77 15 | 99.90 5 | 99.96 4 | 99.88 11 | 99.73 26 | 99.85 32 | 99.70 62 | 99.92 22 | 99.93 17 | 99.45 28 | 99.97 20 | 99.36 60 | 100.00 1 | 99.85 16 |
|
Vis-MVSNet |  | | 99.75 17 | 99.74 18 | 99.79 37 | 99.88 33 | 99.66 94 | 99.69 40 | 99.92 12 | 99.67 71 | 99.77 82 | 99.75 98 | 99.61 19 | 99.98 10 | 99.35 61 | 99.98 28 | 99.72 51 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
dcpmvs_2 | | | 99.61 47 | 99.64 33 | 99.53 163 | 99.79 76 | 98.82 250 | 99.58 74 | 99.97 5 | 99.95 4 | 99.96 11 | 99.76 93 | 98.44 161 | 99.99 6 | 99.34 62 | 99.96 53 | 99.78 36 |
|
test_part1 | | | 98.63 236 | 98.26 260 | 99.75 60 | 99.40 254 | 99.49 134 | 99.67 47 | 99.68 117 | 99.86 27 | 99.88 39 | 99.86 43 | 86.73 372 | 99.93 79 | 99.34 62 | 99.97 39 | 99.81 27 |
|
CHOSEN 1792x2688 | | | 99.39 92 | 99.30 100 | 99.65 110 | 99.88 33 | 99.25 195 | 98.78 249 | 99.88 23 | 98.66 219 | 99.96 11 | 99.79 75 | 97.45 243 | 99.93 79 | 99.34 62 | 99.99 12 | 99.78 36 |
|
CDS-MVSNet | | | 99.22 139 | 99.13 131 | 99.50 172 | 99.35 266 | 99.11 218 | 98.96 222 | 99.54 203 | 99.46 112 | 99.61 153 | 99.70 124 | 96.31 283 | 99.83 256 | 99.34 62 | 99.88 113 | 99.55 157 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
IterMVS-SCA-FT | | | 99.00 192 | 99.16 124 | 98.51 310 | 99.75 106 | 95.90 352 | 98.07 314 | 99.84 38 | 99.84 35 | 99.89 33 | 99.73 104 | 96.01 290 | 99.99 6 | 99.33 66 | 100.00 1 | 99.63 106 |
|
HyFIR lowres test | | | 98.91 205 | 98.64 220 | 99.73 77 | 99.85 42 | 99.47 137 | 98.07 314 | 99.83 40 | 98.64 221 | 99.89 33 | 99.60 194 | 92.57 324 | 100.00 1 | 99.33 66 | 99.97 39 | 99.72 51 |
|
pmmvs5 | | | 99.19 149 | 99.11 138 | 99.42 196 | 99.76 95 | 98.88 247 | 98.55 270 | 99.73 90 | 98.82 204 | 99.72 106 | 99.62 176 | 96.56 272 | 99.82 266 | 99.32 68 | 99.95 62 | 99.56 154 |
|
v148 | | | 99.40 88 | 99.41 77 | 99.39 208 | 99.76 95 | 98.94 238 | 99.09 195 | 99.59 174 | 99.17 158 | 99.81 66 | 99.61 185 | 98.41 165 | 99.69 326 | 99.32 68 | 99.94 73 | 99.53 171 |
|
baseline | | | 99.63 40 | 99.62 35 | 99.66 105 | 99.80 66 | 99.62 107 | 99.44 97 | 99.80 56 | 99.71 58 | 99.72 106 | 99.69 130 | 99.15 60 | 99.83 256 | 99.32 68 | 99.94 73 | 99.53 171 |
|
iter_conf05 | | | 98.46 261 | 98.23 262 | 99.15 255 | 99.04 332 | 97.99 304 | 99.10 190 | 99.61 154 | 99.79 47 | 99.76 84 | 99.58 202 | 87.88 363 | 99.92 99 | 99.31 71 | 99.97 39 | 99.53 171 |
|
CVMVSNet | | | 98.61 238 | 98.88 198 | 97.80 334 | 99.58 170 | 93.60 369 | 99.26 139 | 99.64 142 | 99.66 75 | 99.72 106 | 99.67 146 | 93.26 317 | 99.93 79 | 99.30 72 | 99.81 167 | 99.87 12 |
|
PS-CasMVS | | | 99.66 34 | 99.58 48 | 99.89 8 | 99.80 66 | 99.85 17 | 99.66 52 | 99.73 90 | 99.62 83 | 99.84 54 | 99.71 117 | 98.62 132 | 99.96 38 | 99.30 72 | 99.96 53 | 99.86 14 |
|
DTE-MVSNet | | | 99.68 29 | 99.61 39 | 99.88 12 | 99.80 66 | 99.87 13 | 99.67 47 | 99.71 102 | 99.72 57 | 99.84 54 | 99.78 82 | 98.67 126 | 99.97 20 | 99.30 72 | 99.95 62 | 99.80 28 |
|
tmp_tt | | | 95.75 344 | 95.42 342 | 96.76 353 | 89.90 389 | 94.42 364 | 98.86 232 | 97.87 362 | 78.01 380 | 99.30 245 | 99.69 130 | 97.70 227 | 95.89 384 | 99.29 75 | 98.14 363 | 99.95 3 |
|
PEN-MVS | | | 99.66 34 | 99.59 44 | 99.89 8 | 99.83 47 | 99.87 13 | 99.66 52 | 99.73 90 | 99.70 62 | 99.84 54 | 99.73 104 | 98.56 142 | 99.96 38 | 99.29 75 | 99.94 73 | 99.83 21 |
|
WR-MVS_H | | | 99.61 47 | 99.53 60 | 99.87 15 | 99.80 66 | 99.83 27 | 99.67 47 | 99.75 82 | 99.58 96 | 99.85 51 | 99.69 130 | 98.18 194 | 99.94 62 | 99.28 77 | 99.95 62 | 99.83 21 |
|
IterMVS | | | 98.97 196 | 99.16 124 | 98.42 314 | 99.74 112 | 95.64 355 | 98.06 316 | 99.83 40 | 99.83 38 | 99.85 51 | 99.74 100 | 96.10 289 | 99.99 6 | 99.27 78 | 100.00 1 | 99.63 106 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
h-mvs33 | | | 98.61 238 | 98.34 252 | 99.44 190 | 99.60 161 | 98.67 261 | 99.27 137 | 99.44 248 | 99.68 67 | 99.32 236 | 99.49 240 | 92.50 327 | 100.00 1 | 99.24 79 | 96.51 377 | 99.65 92 |
|
hse-mvs2 | | | 98.52 252 | 98.30 257 | 99.16 253 | 99.29 290 | 98.60 269 | 98.77 250 | 99.02 324 | 99.68 67 | 99.32 236 | 99.04 331 | 92.50 327 | 99.85 227 | 99.24 79 | 97.87 368 | 99.03 310 |
|
FMVSNet1 | | | 99.66 34 | 99.63 34 | 99.73 77 | 99.78 83 | 99.77 49 | 99.68 43 | 99.70 108 | 99.67 71 | 99.82 59 | 99.83 52 | 98.98 83 | 99.90 143 | 99.24 79 | 99.97 39 | 99.53 171 |
|
casdiffmvs | | | 99.63 40 | 99.61 39 | 99.67 98 | 99.79 76 | 99.59 118 | 99.13 183 | 99.85 32 | 99.79 47 | 99.76 84 | 99.72 110 | 99.33 41 | 99.82 266 | 99.21 82 | 99.94 73 | 99.59 140 |
|
CP-MVSNet | | | 99.54 58 | 99.43 74 | 99.87 15 | 99.76 95 | 99.82 33 | 99.57 76 | 99.61 154 | 99.54 97 | 99.80 69 | 99.64 157 | 97.79 224 | 99.95 48 | 99.21 82 | 99.94 73 | 99.84 17 |
|
DELS-MVS | | | 99.34 107 | 99.30 100 | 99.48 179 | 99.51 209 | 99.36 172 | 98.12 307 | 99.53 212 | 99.36 129 | 99.41 217 | 99.61 185 | 99.22 54 | 99.87 189 | 99.21 82 | 99.68 226 | 99.20 273 |
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 |
UniMVSNet (Re) | | | 99.37 97 | 99.26 112 | 99.68 95 | 99.51 209 | 99.58 121 | 98.98 220 | 99.60 167 | 99.43 120 | 99.70 114 | 99.36 275 | 97.70 227 | 99.88 176 | 99.20 85 | 99.87 124 | 99.59 140 |
|
CANet | | | 99.11 170 | 99.05 159 | 99.28 235 | 98.83 353 | 98.56 270 | 98.71 258 | 99.41 255 | 99.25 143 | 99.23 253 | 99.22 308 | 97.66 236 | 99.94 62 | 99.19 86 | 99.97 39 | 99.33 245 |
|
EI-MVSNet-UG-set | | | 99.48 66 | 99.50 62 | 99.42 196 | 99.57 180 | 98.65 267 | 99.24 146 | 99.46 243 | 99.68 67 | 99.80 69 | 99.66 150 | 98.99 82 | 99.89 161 | 99.19 86 | 99.90 95 | 99.72 51 |
|
xiu_mvs_v1_base_debu | | | 99.23 130 | 99.34 89 | 98.91 283 | 99.59 165 | 98.23 288 | 98.47 279 | 99.66 126 | 99.61 87 | 99.68 119 | 98.94 348 | 99.39 30 | 99.97 20 | 99.18 88 | 99.55 266 | 98.51 346 |
|
xiu_mvs_v1_base | | | 99.23 130 | 99.34 89 | 98.91 283 | 99.59 165 | 98.23 288 | 98.47 279 | 99.66 126 | 99.61 87 | 99.68 119 | 98.94 348 | 99.39 30 | 99.97 20 | 99.18 88 | 99.55 266 | 98.51 346 |
|
xiu_mvs_v1_base_debi | | | 99.23 130 | 99.34 89 | 98.91 283 | 99.59 165 | 98.23 288 | 98.47 279 | 99.66 126 | 99.61 87 | 99.68 119 | 98.94 348 | 99.39 30 | 99.97 20 | 99.18 88 | 99.55 266 | 98.51 346 |
|
MVS_0304 | | | 98.88 211 | 98.71 214 | 99.39 208 | 98.85 351 | 98.91 245 | 99.45 94 | 99.30 288 | 98.56 228 | 97.26 370 | 99.68 141 | 96.18 287 | 99.96 38 | 99.17 91 | 99.94 73 | 99.29 256 |
|
VPNet | | | 99.46 73 | 99.37 84 | 99.71 89 | 99.82 54 | 99.59 118 | 99.48 89 | 99.70 108 | 99.81 41 | 99.69 117 | 99.58 202 | 97.66 236 | 99.86 209 | 99.17 91 | 99.44 287 | 99.67 74 |
|
UniMVSNet_NR-MVSNet | | | 99.37 97 | 99.25 114 | 99.72 83 | 99.47 232 | 99.56 124 | 98.97 221 | 99.61 154 | 99.43 120 | 99.67 124 | 99.28 294 | 97.85 220 | 99.95 48 | 99.17 91 | 99.81 167 | 99.65 92 |
|
DU-MVS | | | 99.33 111 | 99.21 119 | 99.71 89 | 99.43 245 | 99.56 124 | 98.83 237 | 99.53 212 | 99.38 126 | 99.67 124 | 99.36 275 | 97.67 232 | 99.95 48 | 99.17 91 | 99.81 167 | 99.63 106 |
|
EI-MVSNet-Vis-set | | | 99.47 72 | 99.49 63 | 99.42 196 | 99.57 180 | 98.66 264 | 99.24 146 | 99.46 243 | 99.67 71 | 99.79 74 | 99.65 155 | 98.97 85 | 99.89 161 | 99.15 95 | 99.89 104 | 99.71 54 |
|
EI-MVSNet | | | 99.38 94 | 99.44 71 | 99.21 247 | 99.58 170 | 98.09 300 | 99.26 139 | 99.46 243 | 99.62 83 | 99.75 92 | 99.67 146 | 98.54 145 | 99.85 227 | 99.15 95 | 99.92 85 | 99.68 67 |
|
VNet | | | 99.18 153 | 99.06 155 | 99.56 154 | 99.24 300 | 99.36 172 | 99.33 116 | 99.31 285 | 99.67 71 | 99.47 197 | 99.57 212 | 96.48 275 | 99.84 244 | 99.15 95 | 99.30 308 | 99.47 205 |
|
EG-PatchMatch MVS | | | 99.57 50 | 99.56 55 | 99.62 133 | 99.77 91 | 99.33 179 | 99.26 139 | 99.76 75 | 99.32 134 | 99.80 69 | 99.78 82 | 99.29 44 | 99.87 189 | 99.15 95 | 99.91 94 | 99.66 84 |
|
PVSNet_Blended_VisFu | | | 99.40 88 | 99.38 81 | 99.44 190 | 99.90 27 | 98.66 264 | 98.94 225 | 99.91 15 | 97.97 281 | 99.79 74 | 99.73 104 | 99.05 77 | 99.97 20 | 99.15 95 | 99.99 12 | 99.68 67 |
|
IterMVS-LS | | | 99.41 85 | 99.47 64 | 99.25 242 | 99.81 61 | 98.09 300 | 98.85 234 | 99.76 75 | 99.62 83 | 99.83 58 | 99.64 157 | 98.54 145 | 99.97 20 | 99.15 95 | 99.99 12 | 99.68 67 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
TranMVSNet+NR-MVSNet | | | 99.54 58 | 99.47 64 | 99.76 50 | 99.58 170 | 99.64 101 | 99.30 126 | 99.63 144 | 99.61 87 | 99.71 111 | 99.56 215 | 98.76 115 | 99.96 38 | 99.14 101 | 99.92 85 | 99.68 67 |
|
MVSTER | | | 98.47 260 | 98.22 264 | 99.24 244 | 99.06 329 | 98.35 285 | 99.08 198 | 99.46 243 | 99.27 139 | 99.75 92 | 99.66 150 | 88.61 361 | 99.85 227 | 99.14 101 | 99.92 85 | 99.52 182 |
|
Anonymous20231206 | | | 99.35 102 | 99.31 95 | 99.47 181 | 99.74 112 | 99.06 229 | 99.28 134 | 99.74 87 | 99.23 147 | 99.72 106 | 99.53 226 | 97.63 238 | 99.88 176 | 99.11 103 | 99.84 140 | 99.48 200 |
|
MVS_Test | | | 99.28 119 | 99.31 95 | 99.19 250 | 99.35 266 | 98.79 253 | 99.36 112 | 99.49 233 | 99.17 158 | 99.21 259 | 99.67 146 | 98.78 111 | 99.66 346 | 99.09 104 | 99.66 237 | 99.10 295 |
|
testgi | | | 99.29 118 | 99.26 112 | 99.37 215 | 99.75 106 | 98.81 251 | 98.84 235 | 99.89 19 | 98.38 248 | 99.75 92 | 99.04 331 | 99.36 39 | 99.86 209 | 99.08 105 | 99.25 315 | 99.45 211 |
|
1112_ss | | | 99.05 180 | 98.84 203 | 99.67 98 | 99.66 148 | 99.29 185 | 98.52 275 | 99.82 45 | 97.65 298 | 99.43 207 | 99.16 315 | 96.42 278 | 99.91 123 | 99.07 106 | 99.84 140 | 99.80 28 |
|
CANet_DTU | | | 98.91 205 | 98.85 201 | 99.09 264 | 98.79 358 | 98.13 295 | 98.18 300 | 99.31 285 | 99.48 103 | 98.86 300 | 99.51 232 | 96.56 272 | 99.95 48 | 99.05 107 | 99.95 62 | 99.19 276 |
|
Baseline_NR-MVSNet | | | 99.49 64 | 99.37 84 | 99.82 26 | 99.91 23 | 99.84 22 | 98.83 237 | 99.86 28 | 99.68 67 | 99.65 132 | 99.88 33 | 97.67 232 | 99.87 189 | 99.03 108 | 99.86 131 | 99.76 45 |
|
FMVSNet2 | | | 99.35 102 | 99.28 107 | 99.55 157 | 99.49 220 | 99.35 176 | 99.45 94 | 99.57 186 | 99.44 115 | 99.70 114 | 99.74 100 | 97.21 255 | 99.87 189 | 99.03 108 | 99.94 73 | 99.44 216 |
|
Test_1112_low_res | | | 98.95 202 | 98.73 212 | 99.63 124 | 99.68 142 | 99.15 215 | 98.09 311 | 99.80 56 | 97.14 326 | 99.46 201 | 99.40 262 | 96.11 288 | 99.89 161 | 99.01 110 | 99.84 140 | 99.84 17 |
|
VDD-MVS | | | 99.20 146 | 99.11 138 | 99.44 190 | 99.43 245 | 98.98 232 | 99.50 85 | 98.32 354 | 99.80 44 | 99.56 171 | 99.69 130 | 96.99 265 | 99.85 227 | 98.99 111 | 99.73 207 | 99.50 190 |
|
DeepC-MVS | | 98.90 4 | 99.62 45 | 99.61 39 | 99.67 98 | 99.72 119 | 99.44 148 | 99.24 146 | 99.71 102 | 99.27 139 | 99.93 18 | 99.90 26 | 99.70 13 | 99.93 79 | 98.99 111 | 99.99 12 | 99.64 101 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
pmmvs-eth3d | | | 99.48 66 | 99.47 64 | 99.51 169 | 99.77 91 | 99.41 159 | 98.81 242 | 99.66 126 | 99.42 124 | 99.75 92 | 99.66 150 | 99.20 55 | 99.76 303 | 98.98 113 | 99.99 12 | 99.36 239 |
|
EPNet_dtu | | | 97.62 305 | 97.79 298 | 97.11 351 | 96.67 384 | 92.31 374 | 98.51 276 | 98.04 357 | 99.24 145 | 95.77 378 | 99.47 248 | 93.78 312 | 99.66 346 | 98.98 113 | 99.62 245 | 99.37 236 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
diffmvs | | | 99.34 107 | 99.32 94 | 99.39 208 | 99.67 147 | 98.77 254 | 98.57 268 | 99.81 54 | 99.61 87 | 99.48 195 | 99.41 258 | 98.47 156 | 99.86 209 | 98.97 115 | 99.90 95 | 99.53 171 |
|
NR-MVSNet | | | 99.40 88 | 99.31 95 | 99.68 95 | 99.43 245 | 99.55 127 | 99.73 26 | 99.50 228 | 99.46 112 | 99.88 39 | 99.36 275 | 97.54 240 | 99.87 189 | 98.97 115 | 99.87 124 | 99.63 106 |
|
GBi-Net | | | 99.42 81 | 99.31 95 | 99.73 77 | 99.49 220 | 99.77 49 | 99.68 43 | 99.70 108 | 99.44 115 | 99.62 147 | 99.83 52 | 97.21 255 | 99.90 143 | 98.96 117 | 99.90 95 | 99.53 171 |
|
FMVSNet5 | | | 97.80 296 | 97.25 312 | 99.42 196 | 98.83 353 | 98.97 234 | 99.38 105 | 99.80 56 | 98.87 198 | 99.25 249 | 99.69 130 | 80.60 383 | 99.91 123 | 98.96 117 | 99.90 95 | 99.38 233 |
|
test1 | | | 99.42 81 | 99.31 95 | 99.73 77 | 99.49 220 | 99.77 49 | 99.68 43 | 99.70 108 | 99.44 115 | 99.62 147 | 99.83 52 | 97.21 255 | 99.90 143 | 98.96 117 | 99.90 95 | 99.53 171 |
|
FMVSNet3 | | | 98.80 220 | 98.63 222 | 99.32 227 | 99.13 317 | 98.72 258 | 99.10 190 | 99.48 235 | 99.23 147 | 99.62 147 | 99.64 157 | 92.57 324 | 99.86 209 | 98.96 117 | 99.90 95 | 99.39 231 |
|
UnsupCasMVSNet_eth | | | 98.83 216 | 98.57 229 | 99.59 140 | 99.68 142 | 99.45 146 | 98.99 216 | 99.67 122 | 99.48 103 | 99.55 176 | 99.36 275 | 94.92 298 | 99.86 209 | 98.95 121 | 96.57 376 | 99.45 211 |
|
CHOSEN 280x420 | | | 98.41 266 | 98.41 244 | 98.40 315 | 99.34 276 | 95.89 353 | 96.94 370 | 99.44 248 | 98.80 207 | 99.25 249 | 99.52 228 | 93.51 316 | 99.98 10 | 98.94 122 | 99.98 28 | 99.32 248 |
|
TDRefinement | | | 99.72 21 | 99.70 20 | 99.77 43 | 99.90 27 | 99.85 17 | 99.86 5 | 99.92 12 | 99.69 65 | 99.78 77 | 99.92 21 | 99.37 36 | 99.88 176 | 98.93 123 | 99.95 62 | 99.60 131 |
|
Regformer-4 | | | 99.45 75 | 99.44 71 | 99.50 172 | 99.52 204 | 98.94 238 | 99.17 167 | 99.53 212 | 99.64 79 | 99.76 84 | 99.60 194 | 98.96 88 | 99.90 143 | 98.91 124 | 99.84 140 | 99.67 74 |
|
Regformer-3 | | | 99.41 85 | 99.41 77 | 99.40 204 | 99.52 204 | 98.70 259 | 99.17 167 | 99.44 248 | 99.62 83 | 99.75 92 | 99.60 194 | 98.90 95 | 99.85 227 | 98.89 125 | 99.84 140 | 99.65 92 |
|
alignmvs | | | 98.28 276 | 97.96 284 | 99.25 242 | 99.12 319 | 98.93 242 | 99.03 206 | 98.42 350 | 99.64 79 | 98.72 315 | 97.85 380 | 90.86 345 | 99.62 356 | 98.88 126 | 99.13 320 | 99.19 276 |
|
sss | | | 98.90 207 | 98.77 211 | 99.27 237 | 99.48 226 | 98.44 277 | 98.72 256 | 99.32 281 | 97.94 285 | 99.37 225 | 99.35 280 | 96.31 283 | 99.91 123 | 98.85 127 | 99.63 244 | 99.47 205 |
|
xiu_mvs_v2_base | | | 99.02 186 | 99.11 138 | 98.77 300 | 99.37 262 | 98.09 300 | 98.13 306 | 99.51 224 | 99.47 108 | 99.42 209 | 98.54 369 | 99.38 34 | 99.97 20 | 98.83 128 | 99.33 305 | 98.24 358 |
|
PS-MVSNAJ | | | 99.00 192 | 99.08 149 | 98.76 301 | 99.37 262 | 98.10 299 | 98.00 321 | 99.51 224 | 99.47 108 | 99.41 217 | 98.50 371 | 99.28 46 | 99.97 20 | 98.83 128 | 99.34 303 | 98.20 362 |
|
D2MVS | | | 99.22 139 | 99.19 121 | 99.29 233 | 99.69 134 | 98.74 257 | 98.81 242 | 99.41 255 | 98.55 230 | 99.68 119 | 99.69 130 | 98.13 196 | 99.87 189 | 98.82 130 | 99.98 28 | 99.24 262 |
|
PatchT | | | 98.45 263 | 98.32 255 | 98.83 295 | 98.94 342 | 98.29 286 | 99.24 146 | 98.82 332 | 99.84 35 | 99.08 277 | 99.76 93 | 91.37 335 | 99.94 62 | 98.82 130 | 99.00 329 | 98.26 357 |
|
FMVS1 | | | 99.63 40 | 99.60 42 | 99.72 83 | 99.94 14 | 99.95 2 | 99.47 91 | 99.89 19 | 99.43 120 | 99.88 39 | 99.80 65 | 99.26 50 | 99.90 143 | 98.81 132 | 99.88 113 | 99.32 248 |
|
APD_test | | | 99.63 40 | 99.60 42 | 99.72 83 | 99.94 14 | 99.95 2 | 99.47 91 | 99.89 19 | 99.43 120 | 99.88 39 | 99.80 65 | 99.26 50 | 99.90 143 | 98.81 132 | 99.88 113 | 99.32 248 |
|
Effi-MVS+ | | | 99.06 177 | 98.97 183 | 99.34 221 | 99.31 284 | 98.98 232 | 98.31 292 | 99.91 15 | 98.81 205 | 98.79 308 | 98.94 348 | 99.14 63 | 99.84 244 | 98.79 134 | 98.74 344 | 99.20 273 |
|
canonicalmvs | | | 99.02 186 | 99.00 174 | 99.09 264 | 99.10 325 | 98.70 259 | 99.61 66 | 99.66 126 | 99.63 82 | 98.64 320 | 97.65 382 | 99.04 78 | 99.54 365 | 98.79 134 | 98.92 333 | 99.04 309 |
|
VDDNet | | | 98.97 196 | 98.82 206 | 99.42 196 | 99.71 122 | 98.81 251 | 99.62 61 | 98.68 337 | 99.81 41 | 99.38 224 | 99.80 65 | 94.25 306 | 99.85 227 | 98.79 134 | 99.32 306 | 99.59 140 |
|
CR-MVSNet | | | 98.35 273 | 98.20 266 | 98.83 295 | 99.05 330 | 98.12 296 | 99.30 126 | 99.67 122 | 97.39 313 | 99.16 266 | 99.79 75 | 91.87 332 | 99.91 123 | 98.78 137 | 98.77 340 | 98.44 351 |
|
test_method | | | 91.72 349 | 92.32 352 | 89.91 366 | 93.49 388 | 70.18 390 | 90.28 379 | 99.56 191 | 61.71 383 | 95.39 380 | 99.52 228 | 93.90 308 | 99.94 62 | 98.76 138 | 98.27 358 | 99.62 117 |
|
RPMNet | | | 98.60 240 | 98.53 235 | 98.83 295 | 99.05 330 | 98.12 296 | 99.30 126 | 99.62 147 | 99.86 27 | 99.16 266 | 99.74 100 | 92.53 326 | 99.92 99 | 98.75 139 | 98.77 340 | 98.44 351 |
|
pmmvs4 | | | 99.13 164 | 99.06 155 | 99.36 219 | 99.57 180 | 99.10 223 | 98.01 319 | 99.25 300 | 98.78 210 | 99.58 161 | 99.44 255 | 98.24 184 | 99.76 303 | 98.74 140 | 99.93 81 | 99.22 267 |
|
tttt0517 | | | 97.62 305 | 97.20 313 | 98.90 289 | 99.76 95 | 97.40 325 | 99.48 89 | 94.36 379 | 99.06 177 | 99.70 114 | 99.49 240 | 84.55 378 | 99.94 62 | 98.73 141 | 99.65 240 | 99.36 239 |
|
EPP-MVSNet | | | 99.17 157 | 99.00 174 | 99.66 105 | 99.80 66 | 99.43 152 | 99.70 34 | 99.24 303 | 99.48 103 | 99.56 171 | 99.77 89 | 94.89 299 | 99.93 79 | 98.72 142 | 99.89 104 | 99.63 106 |
|
Anonymous20240529 | | | 99.42 81 | 99.34 89 | 99.65 110 | 99.53 198 | 99.60 115 | 99.63 60 | 99.39 265 | 99.47 108 | 99.76 84 | 99.78 82 | 98.13 196 | 99.86 209 | 98.70 143 | 99.68 226 | 99.49 195 |
|
ACMH | | 98.42 6 | 99.59 49 | 99.54 56 | 99.72 83 | 99.86 39 | 99.62 107 | 99.56 78 | 99.79 62 | 98.77 211 | 99.80 69 | 99.85 46 | 99.64 15 | 99.85 227 | 98.70 143 | 99.89 104 | 99.70 57 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
ab-mvs | | | 99.33 111 | 99.28 107 | 99.47 181 | 99.57 180 | 99.39 162 | 99.78 11 | 99.43 252 | 98.87 198 | 99.57 164 | 99.82 59 | 98.06 201 | 99.87 189 | 98.69 145 | 99.73 207 | 99.15 284 |
|
LFMVS | | | 98.46 261 | 98.19 269 | 99.26 239 | 99.24 300 | 98.52 273 | 99.62 61 | 96.94 370 | 99.87 24 | 99.31 240 | 99.58 202 | 91.04 340 | 99.81 282 | 98.68 146 | 99.42 292 | 99.45 211 |
|
WR-MVS | | | 99.11 170 | 98.93 188 | 99.66 105 | 99.30 288 | 99.42 155 | 98.42 285 | 99.37 272 | 99.04 178 | 99.57 164 | 99.20 312 | 96.89 267 | 99.86 209 | 98.66 147 | 99.87 124 | 99.70 57 |
|
Anonymous202405211 | | | 98.75 225 | 98.46 239 | 99.63 124 | 99.34 276 | 99.66 94 | 99.47 91 | 97.65 363 | 99.28 138 | 99.56 171 | 99.50 235 | 93.15 318 | 99.84 244 | 98.62 148 | 99.58 260 | 99.40 228 |
|
EPNet | | | 98.13 284 | 97.77 299 | 99.18 252 | 94.57 387 | 97.99 304 | 99.24 146 | 97.96 359 | 99.74 53 | 97.29 369 | 99.62 176 | 93.13 319 | 99.97 20 | 98.59 149 | 99.83 150 | 99.58 145 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
MSLP-MVS++ | | | 99.05 180 | 99.09 147 | 98.91 283 | 99.21 304 | 98.36 284 | 98.82 241 | 99.47 239 | 98.85 200 | 98.90 295 | 99.56 215 | 98.78 111 | 99.09 378 | 98.57 150 | 99.68 226 | 99.26 259 |
|
Patchmatch-RL test | | | 98.60 240 | 98.36 249 | 99.33 223 | 99.77 91 | 99.07 227 | 98.27 295 | 99.87 25 | 98.91 193 | 99.74 101 | 99.72 110 | 90.57 349 | 99.79 290 | 98.55 151 | 99.85 135 | 99.11 293 |
|
pmmvs3 | | | 98.08 287 | 97.80 296 | 98.91 283 | 99.41 251 | 97.69 318 | 97.87 335 | 99.66 126 | 95.87 347 | 99.50 192 | 99.51 232 | 90.35 351 | 99.97 20 | 98.55 151 | 99.47 284 | 99.08 301 |
|
ETV-MVS | | | 99.18 153 | 99.18 122 | 99.16 253 | 99.34 276 | 99.28 187 | 99.12 187 | 99.79 62 | 99.48 103 | 98.93 289 | 98.55 368 | 99.40 29 | 99.93 79 | 98.51 153 | 99.52 276 | 98.28 356 |
|
jason | | | 99.16 158 | 99.11 138 | 99.32 227 | 99.75 106 | 98.44 277 | 98.26 296 | 99.39 265 | 98.70 217 | 99.74 101 | 99.30 289 | 98.54 145 | 99.97 20 | 98.48 154 | 99.82 159 | 99.55 157 |
jason: jason. |
APDe-MVS | | | 99.48 66 | 99.36 87 | 99.85 19 | 99.55 192 | 99.81 36 | 99.50 85 | 99.69 114 | 98.99 180 | 99.75 92 | 99.71 117 | 98.79 109 | 99.93 79 | 98.46 155 | 99.85 135 | 99.80 28 |
|
CL-MVSNet_self_test | | | 98.71 231 | 98.56 232 | 99.15 255 | 99.22 302 | 98.66 264 | 97.14 365 | 99.51 224 | 98.09 274 | 99.54 178 | 99.27 296 | 96.87 268 | 99.74 309 | 98.43 156 | 98.96 330 | 99.03 310 |
|
our_test_3 | | | 98.85 215 | 99.09 147 | 98.13 326 | 99.66 148 | 94.90 362 | 97.72 340 | 99.58 184 | 99.07 173 | 99.64 134 | 99.62 176 | 98.19 192 | 99.93 79 | 98.41 157 | 99.95 62 | 99.55 157 |
|
Gipuma |  | | 99.57 50 | 99.59 44 | 99.49 175 | 99.98 3 | 99.71 76 | 99.72 29 | 99.84 38 | 99.81 41 | 99.94 15 | 99.78 82 | 98.91 92 | 99.71 318 | 98.41 157 | 99.95 62 | 99.05 308 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
test0.0.03 1 | | | 97.37 313 | 96.91 323 | 98.74 302 | 97.72 380 | 97.57 320 | 97.60 346 | 97.36 369 | 98.00 277 | 99.21 259 | 98.02 378 | 90.04 355 | 99.79 290 | 98.37 159 | 95.89 380 | 98.86 327 |
|
Regformer-1 | | | 99.32 113 | 99.27 110 | 99.47 181 | 99.41 251 | 98.95 237 | 98.99 216 | 99.48 235 | 99.48 103 | 99.66 128 | 99.52 228 | 98.78 111 | 99.87 189 | 98.36 160 | 99.74 200 | 99.60 131 |
|
PM-MVS | | | 99.36 100 | 99.29 105 | 99.58 144 | 99.83 47 | 99.66 94 | 98.95 223 | 99.86 28 | 98.85 200 | 99.81 66 | 99.73 104 | 98.40 169 | 99.92 99 | 98.36 160 | 99.83 150 | 99.17 280 |
|
baseline1 | | | 97.73 300 | 97.33 309 | 98.96 275 | 99.30 288 | 97.73 316 | 99.40 101 | 98.42 350 | 99.33 133 | 99.46 201 | 99.21 310 | 91.18 338 | 99.82 266 | 98.35 162 | 91.26 382 | 99.32 248 |
|
MVS-HIRNet | | | 97.86 293 | 98.22 264 | 96.76 353 | 99.28 293 | 91.53 379 | 98.38 287 | 92.60 383 | 99.13 166 | 99.31 240 | 99.96 12 | 97.18 259 | 99.68 337 | 98.34 163 | 99.83 150 | 99.07 306 |
|
GA-MVS | | | 97.99 292 | 97.68 302 | 98.93 280 | 99.52 204 | 98.04 303 | 97.19 364 | 99.05 323 | 98.32 261 | 98.81 305 | 98.97 344 | 89.89 357 | 99.41 375 | 98.33 164 | 99.05 325 | 99.34 244 |
|
Fast-Effi-MVS+ | | | 99.02 186 | 98.87 199 | 99.46 184 | 99.38 259 | 99.50 133 | 99.04 203 | 99.79 62 | 97.17 324 | 98.62 321 | 98.74 361 | 99.34 40 | 99.95 48 | 98.32 165 | 99.41 293 | 98.92 322 |
|
Regformer-2 | | | 99.34 107 | 99.27 110 | 99.53 163 | 99.41 251 | 99.10 223 | 98.99 216 | 99.53 212 | 99.47 108 | 99.66 128 | 99.52 228 | 98.80 106 | 99.89 161 | 98.31 166 | 99.74 200 | 99.60 131 |
|
MDA-MVSNet_test_wron | | | 98.95 202 | 98.99 179 | 98.85 291 | 99.64 152 | 97.16 331 | 98.23 298 | 99.33 279 | 98.93 190 | 99.56 171 | 99.66 150 | 97.39 247 | 99.83 256 | 98.29 167 | 99.88 113 | 99.55 157 |
|
N_pmnet | | | 98.73 229 | 98.53 235 | 99.35 220 | 99.72 119 | 98.67 261 | 98.34 288 | 94.65 378 | 98.35 255 | 99.79 74 | 99.68 141 | 98.03 203 | 99.93 79 | 98.28 168 | 99.92 85 | 99.44 216 |
|
ET-MVSNet_ETH3D | | | 96.78 324 | 96.07 333 | 98.91 283 | 99.26 297 | 97.92 311 | 97.70 342 | 96.05 374 | 97.96 284 | 92.37 383 | 98.43 372 | 87.06 366 | 99.90 143 | 98.27 169 | 97.56 371 | 98.91 323 |
|
thisisatest0530 | | | 97.45 310 | 96.95 320 | 98.94 277 | 99.68 142 | 97.73 316 | 99.09 195 | 94.19 381 | 98.61 225 | 99.56 171 | 99.30 289 | 84.30 379 | 99.93 79 | 98.27 169 | 99.54 272 | 99.16 282 |
|
YYNet1 | | | 98.95 202 | 98.99 179 | 98.84 293 | 99.64 152 | 97.14 332 | 98.22 299 | 99.32 281 | 98.92 192 | 99.59 159 | 99.66 150 | 97.40 245 | 99.83 256 | 98.27 169 | 99.90 95 | 99.55 157 |
|
ACMM | | 98.09 11 | 99.46 73 | 99.38 81 | 99.72 83 | 99.80 66 | 99.69 87 | 99.13 183 | 99.65 136 | 98.99 180 | 99.64 134 | 99.72 110 | 99.39 30 | 99.86 209 | 98.23 172 | 99.81 167 | 99.60 131 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
lupinMVS | | | 98.96 199 | 98.87 199 | 99.24 244 | 99.57 180 | 98.40 280 | 98.12 307 | 99.18 313 | 98.28 263 | 99.63 138 | 99.13 317 | 98.02 205 | 99.97 20 | 98.22 173 | 99.69 221 | 99.35 242 |
|
3Dnovator | | 99.15 2 | 99.43 78 | 99.36 87 | 99.65 110 | 99.39 256 | 99.42 155 | 99.70 34 | 99.56 191 | 99.23 147 | 99.35 228 | 99.80 65 | 99.17 58 | 99.95 48 | 98.21 174 | 99.84 140 | 99.59 140 |
|
Fast-Effi-MVS+-dtu | | | 99.20 146 | 99.12 135 | 99.43 194 | 99.25 298 | 99.69 87 | 99.05 201 | 99.82 45 | 99.50 101 | 98.97 285 | 99.05 328 | 98.98 83 | 99.98 10 | 98.20 175 | 99.24 317 | 98.62 339 |
|
MS-PatchMatch | | | 99.00 192 | 98.97 183 | 99.09 264 | 99.11 324 | 98.19 292 | 98.76 252 | 99.33 279 | 98.49 238 | 99.44 203 | 99.58 202 | 98.21 189 | 99.69 326 | 98.20 175 | 99.62 245 | 99.39 231 |
|
TSAR-MVS + GP. | | | 99.12 166 | 99.04 165 | 99.38 212 | 99.34 276 | 99.16 213 | 98.15 303 | 99.29 290 | 98.18 270 | 99.63 138 | 99.62 176 | 99.18 57 | 99.68 337 | 98.20 175 | 99.74 200 | 99.30 253 |
|
DP-MVS | | | 99.48 66 | 99.39 79 | 99.74 67 | 99.57 180 | 99.62 107 | 99.29 133 | 99.61 154 | 99.87 24 | 99.74 101 | 99.76 93 | 98.69 122 | 99.87 189 | 98.20 175 | 99.80 172 | 99.75 48 |
|
MVP-Stereo | | | 99.16 158 | 99.08 149 | 99.43 194 | 99.48 226 | 99.07 227 | 99.08 198 | 99.55 197 | 98.63 222 | 99.31 240 | 99.68 141 | 98.19 192 | 99.78 293 | 98.18 179 | 99.58 260 | 99.45 211 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
HPM-MVS_fast | | | 99.43 78 | 99.30 100 | 99.80 32 | 99.83 47 | 99.81 36 | 99.52 82 | 99.70 108 | 98.35 255 | 99.51 190 | 99.50 235 | 99.31 42 | 99.88 176 | 98.18 179 | 99.84 140 | 99.69 61 |
|
MDA-MVSNet-bldmvs | | | 99.06 177 | 99.05 159 | 99.07 268 | 99.80 66 | 97.83 312 | 98.89 227 | 99.72 99 | 99.29 135 | 99.63 138 | 99.70 124 | 96.47 276 | 99.89 161 | 98.17 181 | 99.82 159 | 99.50 190 |
|
JIA-IIPM | | | 98.06 288 | 97.92 291 | 98.50 311 | 98.59 367 | 97.02 334 | 98.80 245 | 98.51 346 | 99.88 23 | 97.89 357 | 99.87 36 | 91.89 331 | 99.90 143 | 98.16 182 | 97.68 370 | 98.59 341 |
|
EIA-MVS | | | 99.12 166 | 99.01 171 | 99.45 188 | 99.36 264 | 99.62 107 | 99.34 114 | 99.79 62 | 98.41 244 | 98.84 302 | 98.89 353 | 98.75 117 | 99.84 244 | 98.15 183 | 99.51 277 | 98.89 324 |
|
miper_lstm_enhance | | | 98.65 235 | 98.60 223 | 98.82 298 | 99.20 307 | 97.33 327 | 97.78 338 | 99.66 126 | 99.01 179 | 99.59 159 | 99.50 235 | 94.62 303 | 99.85 227 | 98.12 184 | 99.90 95 | 99.26 259 |
|
Effi-MVS+-dtu | | | 99.07 176 | 98.92 192 | 99.52 166 | 98.89 347 | 99.78 46 | 99.15 175 | 99.66 126 | 99.34 130 | 98.92 292 | 99.24 306 | 97.69 229 | 99.98 10 | 98.11 185 | 99.28 311 | 98.81 331 |
|
mvs-test1 | | | 98.83 216 | 98.70 217 | 99.22 246 | 98.89 347 | 99.65 99 | 98.88 228 | 99.66 126 | 99.34 130 | 98.29 337 | 98.94 348 | 97.69 229 | 99.96 38 | 98.11 185 | 98.54 352 | 98.04 366 |
|
tpm | | | 97.15 316 | 96.95 320 | 97.75 336 | 98.91 343 | 94.24 365 | 99.32 119 | 97.96 359 | 97.71 296 | 98.29 337 | 99.32 285 | 86.72 373 | 99.92 99 | 98.10 187 | 96.24 379 | 99.09 298 |
|
DeepPCF-MVS | | 98.42 6 | 99.18 153 | 99.02 168 | 99.67 98 | 99.22 302 | 99.75 61 | 97.25 362 | 99.47 239 | 98.72 216 | 99.66 128 | 99.70 124 | 99.29 44 | 99.63 355 | 98.07 188 | 99.81 167 | 99.62 117 |
|
ppachtmachnet_test | | | 98.89 210 | 99.12 135 | 98.20 324 | 99.66 148 | 95.24 359 | 97.63 344 | 99.68 117 | 99.08 171 | 99.78 77 | 99.62 176 | 98.65 130 | 99.88 176 | 98.02 189 | 99.96 53 | 99.48 200 |
|
tpmrst | | | 97.73 300 | 98.07 277 | 96.73 355 | 98.71 364 | 92.00 375 | 99.10 190 | 98.86 329 | 98.52 234 | 98.92 292 | 99.54 224 | 91.90 330 | 99.82 266 | 98.02 189 | 99.03 327 | 98.37 353 |
|
CSCG | | | 99.37 97 | 99.29 105 | 99.60 138 | 99.71 122 | 99.46 141 | 99.43 99 | 99.85 32 | 98.79 208 | 99.41 217 | 99.60 194 | 98.92 90 | 99.92 99 | 98.02 189 | 99.92 85 | 99.43 222 |
|
eth_miper_zixun_eth | | | 98.68 233 | 98.71 214 | 98.60 307 | 99.10 325 | 96.84 339 | 97.52 352 | 99.54 203 | 98.94 187 | 99.58 161 | 99.48 243 | 96.25 285 | 99.76 303 | 98.01 192 | 99.93 81 | 99.21 269 |
|
Patchmtry | | | 98.78 221 | 98.54 233 | 99.49 175 | 98.89 347 | 99.19 211 | 99.32 119 | 99.67 122 | 99.65 77 | 99.72 106 | 99.79 75 | 91.87 332 | 99.95 48 | 98.00 193 | 99.97 39 | 99.33 245 |
|
PVSNet_BlendedMVS | | | 99.03 184 | 99.01 171 | 99.09 264 | 99.54 193 | 97.99 304 | 98.58 264 | 99.82 45 | 97.62 299 | 99.34 231 | 99.71 117 | 98.52 152 | 99.77 301 | 97.98 194 | 99.97 39 | 99.52 182 |
|
PVSNet_Blended | | | 98.70 232 | 98.59 225 | 99.02 272 | 99.54 193 | 97.99 304 | 97.58 347 | 99.82 45 | 95.70 352 | 99.34 231 | 98.98 341 | 98.52 152 | 99.77 301 | 97.98 194 | 99.83 150 | 99.30 253 |
|
cl____ | | | 98.54 250 | 98.41 244 | 98.92 281 | 99.03 334 | 97.80 314 | 97.46 354 | 99.59 174 | 98.90 194 | 99.60 156 | 99.46 251 | 93.85 310 | 99.78 293 | 97.97 196 | 99.89 104 | 99.17 280 |
|
DIV-MVS_self_test | | | 98.54 250 | 98.42 243 | 98.92 281 | 99.03 334 | 97.80 314 | 97.46 354 | 99.59 174 | 98.90 194 | 99.60 156 | 99.46 251 | 93.87 309 | 99.78 293 | 97.97 196 | 99.89 104 | 99.18 278 |
|
AUN-MVS | | | 97.82 295 | 97.38 308 | 99.14 258 | 99.27 295 | 98.53 271 | 98.72 256 | 99.02 324 | 98.10 272 | 97.18 372 | 99.03 335 | 89.26 359 | 99.85 227 | 97.94 198 | 97.91 366 | 99.03 310 |
|
FA-MVS(test-final) | | | 98.52 252 | 98.32 255 | 99.10 263 | 99.48 226 | 98.67 261 | 99.77 14 | 98.60 343 | 97.35 315 | 99.63 138 | 99.80 65 | 93.07 320 | 99.84 244 | 97.92 199 | 99.30 308 | 98.78 334 |
|
ambc | | | | | 99.20 249 | 99.35 266 | 98.53 271 | 99.17 167 | 99.46 243 | | 99.67 124 | 99.80 65 | 98.46 159 | 99.70 320 | 97.92 199 | 99.70 218 | 99.38 233 |
|
USDC | | | 98.96 199 | 98.93 188 | 99.05 270 | 99.54 193 | 97.99 304 | 97.07 368 | 99.80 56 | 98.21 267 | 99.75 92 | 99.77 89 | 98.43 162 | 99.64 354 | 97.90 201 | 99.88 113 | 99.51 184 |
|
OPM-MVS | | | 99.26 125 | 99.13 131 | 99.63 124 | 99.70 130 | 99.61 113 | 98.58 264 | 99.48 235 | 98.50 236 | 99.52 185 | 99.63 167 | 99.14 63 | 99.76 303 | 97.89 202 | 99.77 187 | 99.51 184 |
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS). |
DVP-MVS |  | | 99.32 113 | 99.17 123 | 99.77 43 | 99.69 134 | 99.80 41 | 99.14 177 | 99.31 285 | 99.16 160 | 99.62 147 | 99.61 185 | 98.35 173 | 99.91 123 | 97.88 203 | 99.72 213 | 99.61 127 |
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 | | | | | 99.83 24 | 99.70 130 | 99.79 43 | 99.14 177 | 99.61 154 | | | | | 99.92 99 | 97.88 203 | 99.72 213 | 99.77 40 |
|
c3_l | | | 98.72 230 | 98.71 214 | 98.72 303 | 99.12 319 | 97.22 330 | 97.68 343 | 99.56 191 | 98.90 194 | 99.54 178 | 99.48 243 | 96.37 282 | 99.73 312 | 97.88 203 | 99.88 113 | 99.21 269 |
|
3Dnovator+ | | 98.92 3 | 99.35 102 | 99.24 116 | 99.67 98 | 99.35 266 | 99.47 137 | 99.62 61 | 99.50 228 | 99.44 115 | 99.12 273 | 99.78 82 | 98.77 114 | 99.94 62 | 97.87 206 | 99.72 213 | 99.62 117 |
|
miper_ehance_all_eth | | | 98.59 243 | 98.59 225 | 98.59 308 | 98.98 340 | 97.07 333 | 97.49 353 | 99.52 220 | 98.50 236 | 99.52 185 | 99.37 270 | 96.41 280 | 99.71 318 | 97.86 207 | 99.62 245 | 99.00 316 |
|
WTY-MVS | | | 98.59 243 | 98.37 248 | 99.26 239 | 99.43 245 | 98.40 280 | 98.74 253 | 99.13 319 | 98.10 272 | 99.21 259 | 99.24 306 | 94.82 300 | 99.90 143 | 97.86 207 | 98.77 340 | 99.49 195 |
|
SED-MVS | | | 99.40 88 | 99.28 107 | 99.77 43 | 99.69 134 | 99.82 33 | 99.20 156 | 99.54 203 | 99.13 166 | 99.82 59 | 99.63 167 | 98.91 92 | 99.92 99 | 97.85 209 | 99.70 218 | 99.58 145 |
|
test_241102_TWO | | | | | | | | | 99.54 203 | 99.13 166 | 99.76 84 | 99.63 167 | 98.32 179 | 99.92 99 | 97.85 209 | 99.69 221 | 99.75 48 |
|
MVS_111021_HR | | | 99.12 166 | 99.02 168 | 99.40 204 | 99.50 215 | 99.11 218 | 97.92 332 | 99.71 102 | 98.76 214 | 99.08 277 | 99.47 248 | 99.17 58 | 99.54 365 | 97.85 209 | 99.76 189 | 99.54 165 |
|
zzz-MVS | | | 99.30 116 | 99.14 128 | 99.80 32 | 99.81 61 | 99.81 36 | 98.73 255 | 99.53 212 | 99.27 139 | 99.42 209 | 99.63 167 | 98.21 189 | 99.95 48 | 97.83 212 | 99.79 177 | 99.65 92 |
|
MTAPA | | | 99.35 102 | 99.20 120 | 99.80 32 | 99.81 61 | 99.81 36 | 99.33 116 | 99.53 212 | 99.27 139 | 99.42 209 | 99.63 167 | 98.21 189 | 99.95 48 | 97.83 212 | 99.79 177 | 99.65 92 |
|
MSC_two_6792asdad | | | | | 99.74 67 | 99.03 334 | 99.53 129 | | 99.23 304 | | | | | 99.92 99 | 97.77 214 | 99.69 221 | 99.78 36 |
|
No_MVS | | | | | 99.74 67 | 99.03 334 | 99.53 129 | | 99.23 304 | | | | | 99.92 99 | 97.77 214 | 99.69 221 | 99.78 36 |
|
TESTMET0.1,1 | | | 96.24 336 | 95.84 338 | 97.41 343 | 98.24 375 | 93.84 368 | 97.38 356 | 95.84 375 | 98.43 241 | 97.81 361 | 98.56 367 | 79.77 384 | 99.89 161 | 97.77 214 | 98.77 340 | 98.52 345 |
|
ACMH+ | | 98.40 8 | 99.50 62 | 99.43 74 | 99.71 89 | 99.86 39 | 99.76 57 | 99.32 119 | 99.77 70 | 99.53 99 | 99.77 82 | 99.76 93 | 99.26 50 | 99.78 293 | 97.77 214 | 99.88 113 | 99.60 131 |
|
IU-MVS | | | | | | 99.69 134 | 99.77 49 | | 99.22 307 | 97.50 307 | 99.69 117 | | | | 97.75 218 | 99.70 218 | 99.77 40 |
|
114514_t | | | 98.49 258 | 98.11 275 | 99.64 117 | 99.73 115 | 99.58 121 | 99.24 146 | 99.76 75 | 89.94 376 | 99.42 209 | 99.56 215 | 97.76 226 | 99.86 209 | 97.74 219 | 99.82 159 | 99.47 205 |
|
DVP-MVS++ | | | 99.38 94 | 99.25 114 | 99.77 43 | 99.03 334 | 99.77 49 | 99.74 23 | 99.61 154 | 99.18 154 | 99.76 84 | 99.61 185 | 99.00 80 | 99.92 99 | 97.72 220 | 99.60 255 | 99.62 117 |
|
test_0728_THIRD | | | | | | | | | | 99.18 154 | 99.62 147 | 99.61 185 | 98.58 139 | 99.91 123 | 97.72 220 | 99.80 172 | 99.77 40 |
|
EGC-MVSNET | | | 89.05 350 | 85.52 353 | 99.64 117 | 99.89 29 | 99.78 46 | 99.56 78 | 99.52 220 | 24.19 384 | 49.96 385 | 99.83 52 | 99.15 60 | 99.92 99 | 97.71 222 | 99.85 135 | 99.21 269 |
|
miper_enhance_ethall | | | 98.03 289 | 97.94 289 | 98.32 319 | 98.27 374 | 96.43 345 | 96.95 369 | 99.41 255 | 96.37 342 | 99.43 207 | 98.96 346 | 94.74 301 | 99.69 326 | 97.71 222 | 99.62 245 | 98.83 330 |
|
TSAR-MVS + MP. | | | 99.34 107 | 99.24 116 | 99.63 124 | 99.82 54 | 99.37 168 | 99.26 139 | 99.35 276 | 98.77 211 | 99.57 164 | 99.70 124 | 99.27 49 | 99.88 176 | 97.71 222 | 99.75 192 | 99.65 92 |
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition |
cl22 | | | 97.56 308 | 97.28 310 | 98.40 315 | 98.37 372 | 96.75 340 | 97.24 363 | 99.37 272 | 97.31 318 | 99.41 217 | 99.22 308 | 87.30 364 | 99.37 376 | 97.70 225 | 99.62 245 | 99.08 301 |
|
MP-MVS-pluss | | | 99.14 162 | 98.92 192 | 99.80 32 | 99.83 47 | 99.83 27 | 98.61 260 | 99.63 144 | 96.84 334 | 99.44 203 | 99.58 202 | 98.81 102 | 99.91 123 | 97.70 225 | 99.82 159 | 99.67 74 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
ACMMP_NAP | | | 99.28 119 | 99.11 138 | 99.79 37 | 99.75 106 | 99.81 36 | 98.95 223 | 99.53 212 | 98.27 264 | 99.53 183 | 99.73 104 | 98.75 117 | 99.87 189 | 97.70 225 | 99.83 150 | 99.68 67 |
|
UnsupCasMVSNet_bld | | | 98.55 249 | 98.27 259 | 99.40 204 | 99.56 191 | 99.37 168 | 97.97 327 | 99.68 117 | 97.49 308 | 99.08 277 | 99.35 280 | 95.41 297 | 99.82 266 | 97.70 225 | 98.19 361 | 99.01 315 |
|
MVS_111021_LR | | | 99.13 164 | 99.03 167 | 99.42 196 | 99.58 170 | 99.32 181 | 97.91 334 | 99.73 90 | 98.68 218 | 99.31 240 | 99.48 243 | 99.09 68 | 99.66 346 | 97.70 225 | 99.77 187 | 99.29 256 |
|
IS-MVSNet | | | 99.03 184 | 98.85 201 | 99.55 157 | 99.80 66 | 99.25 195 | 99.73 26 | 99.15 316 | 99.37 127 | 99.61 153 | 99.71 117 | 94.73 302 | 99.81 282 | 97.70 225 | 99.88 113 | 99.58 145 |
|
test-LLR | | | 97.15 316 | 96.95 320 | 97.74 337 | 98.18 377 | 95.02 360 | 97.38 356 | 96.10 371 | 98.00 277 | 97.81 361 | 98.58 364 | 90.04 355 | 99.91 123 | 97.69 231 | 98.78 338 | 98.31 354 |
|
test-mter | | | 96.23 337 | 95.73 339 | 97.74 337 | 98.18 377 | 95.02 360 | 97.38 356 | 96.10 371 | 97.90 286 | 97.81 361 | 98.58 364 | 79.12 387 | 99.91 123 | 97.69 231 | 98.78 338 | 98.31 354 |
|
XVS | | | 99.27 123 | 99.11 138 | 99.75 60 | 99.71 122 | 99.71 76 | 99.37 109 | 99.61 154 | 99.29 135 | 98.76 312 | 99.47 248 | 98.47 156 | 99.88 176 | 97.62 233 | 99.73 207 | 99.67 74 |
|
X-MVStestdata | | | 96.09 338 | 94.87 347 | 99.75 60 | 99.71 122 | 99.71 76 | 99.37 109 | 99.61 154 | 99.29 135 | 98.76 312 | 61.30 391 | 98.47 156 | 99.88 176 | 97.62 233 | 99.73 207 | 99.67 74 |
|
SMA-MVS |  | | 99.19 149 | 99.00 174 | 99.73 77 | 99.46 237 | 99.73 70 | 99.13 183 | 99.52 220 | 97.40 312 | 99.57 164 | 99.64 157 | 98.93 89 | 99.83 256 | 97.61 235 | 99.79 177 | 99.63 106 |
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 |
CostFormer | | | 96.71 327 | 96.79 326 | 96.46 359 | 98.90 344 | 90.71 384 | 99.41 100 | 98.68 337 | 94.69 366 | 98.14 348 | 99.34 283 | 86.32 375 | 99.80 287 | 97.60 236 | 98.07 365 | 98.88 325 |
|
PVSNet | | 97.47 15 | 98.42 265 | 98.44 241 | 98.35 317 | 99.46 237 | 96.26 346 | 96.70 373 | 99.34 278 | 97.68 297 | 99.00 284 | 99.13 317 | 97.40 245 | 99.72 314 | 97.59 237 | 99.68 226 | 99.08 301 |
|
new_pmnet | | | 98.88 211 | 98.89 197 | 98.84 293 | 99.70 130 | 97.62 319 | 98.15 303 | 99.50 228 | 97.98 280 | 99.62 147 | 99.54 224 | 98.15 195 | 99.94 62 | 97.55 238 | 99.84 140 | 98.95 319 |
|
IB-MVS | | 95.41 20 | 95.30 347 | 94.46 351 | 97.84 333 | 98.76 362 | 95.33 358 | 97.33 359 | 96.07 373 | 96.02 346 | 95.37 381 | 97.41 384 | 76.17 389 | 99.96 38 | 97.54 239 | 95.44 381 | 98.22 359 |
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 |
LS3D | | | 99.24 129 | 99.11 138 | 99.61 136 | 98.38 371 | 99.79 43 | 99.57 76 | 99.68 117 | 99.61 87 | 99.15 268 | 99.71 117 | 98.70 121 | 99.91 123 | 97.54 239 | 99.68 226 | 99.13 292 |
|
ZNCC-MVS | | | 99.22 139 | 99.04 165 | 99.77 43 | 99.76 95 | 99.73 70 | 99.28 134 | 99.56 191 | 98.19 269 | 99.14 270 | 99.29 292 | 98.84 101 | 99.92 99 | 97.53 241 | 99.80 172 | 99.64 101 |
|
CP-MVS | | | 99.23 130 | 99.05 159 | 99.75 60 | 99.66 148 | 99.66 94 | 99.38 105 | 99.62 147 | 98.38 248 | 99.06 281 | 99.27 296 | 98.79 109 | 99.94 62 | 97.51 242 | 99.82 159 | 99.66 84 |
|
SD-MVS | | | 99.01 190 | 99.30 100 | 98.15 325 | 99.50 215 | 99.40 160 | 98.94 225 | 99.61 154 | 99.22 151 | 99.75 92 | 99.82 59 | 99.54 26 | 95.51 385 | 97.48 243 | 99.87 124 | 99.54 165 |
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 |
PMMVS | | | 98.49 258 | 98.29 258 | 99.11 261 | 98.96 341 | 98.42 279 | 97.54 348 | 99.32 281 | 97.53 305 | 98.47 333 | 98.15 377 | 97.88 217 | 99.82 266 | 97.46 244 | 99.24 317 | 99.09 298 |
|
DeepC-MVS_fast | | 98.47 5 | 99.23 130 | 99.12 135 | 99.56 154 | 99.28 293 | 99.22 204 | 98.99 216 | 99.40 262 | 99.08 171 | 99.58 161 | 99.64 157 | 98.90 95 | 99.83 256 | 97.44 245 | 99.75 192 | 99.63 106 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
HFP-MVS | | | 99.25 126 | 99.08 149 | 99.76 50 | 99.73 115 | 99.70 83 | 99.31 123 | 99.59 174 | 98.36 250 | 99.36 226 | 99.37 270 | 98.80 106 | 99.91 123 | 97.43 246 | 99.75 192 | 99.68 67 |
|
ACMMPR | | | 99.23 130 | 99.06 155 | 99.76 50 | 99.74 112 | 99.69 87 | 99.31 123 | 99.59 174 | 98.36 250 | 99.35 228 | 99.38 268 | 98.61 134 | 99.93 79 | 97.43 246 | 99.75 192 | 99.67 74 |
|
Vis-MVSNet (Re-imp) | | | 98.77 222 | 98.58 228 | 99.34 221 | 99.78 83 | 98.88 247 | 99.61 66 | 99.56 191 | 99.11 170 | 99.24 252 | 99.56 215 | 93.00 322 | 99.78 293 | 97.43 246 | 99.89 104 | 99.35 242 |
|
MIMVSNet | | | 98.43 264 | 98.20 266 | 99.11 261 | 99.53 198 | 98.38 283 | 99.58 74 | 98.61 341 | 98.96 185 | 99.33 233 | 99.76 93 | 90.92 342 | 99.81 282 | 97.38 249 | 99.76 189 | 99.15 284 |
|
XVG-OURS-SEG-HR | | | 99.16 158 | 98.99 179 | 99.66 105 | 99.84 43 | 99.64 101 | 98.25 297 | 99.73 90 | 98.39 247 | 99.63 138 | 99.43 256 | 99.70 13 | 99.90 143 | 97.34 250 | 98.64 348 | 99.44 216 |
|
COLMAP_ROB |  | 98.06 12 | 99.45 75 | 99.37 84 | 99.70 93 | 99.83 47 | 99.70 83 | 99.38 105 | 99.78 67 | 99.53 99 | 99.67 124 | 99.78 82 | 99.19 56 | 99.86 209 | 97.32 251 | 99.87 124 | 99.55 157 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
MCST-MVS | | | 99.02 186 | 98.81 207 | 99.65 110 | 99.58 170 | 99.49 134 | 98.58 264 | 99.07 320 | 98.40 246 | 99.04 282 | 99.25 301 | 98.51 154 | 99.80 287 | 97.31 252 | 99.51 277 | 99.65 92 |
|
region2R | | | 99.23 130 | 99.05 159 | 99.77 43 | 99.76 95 | 99.70 83 | 99.31 123 | 99.59 174 | 98.41 244 | 99.32 236 | 99.36 275 | 98.73 120 | 99.93 79 | 97.29 253 | 99.74 200 | 99.67 74 |
|
APD-MVS_3200maxsize | | | 99.31 115 | 99.16 124 | 99.74 67 | 99.53 198 | 99.75 61 | 99.27 137 | 99.61 154 | 99.19 153 | 99.57 164 | 99.64 157 | 98.76 115 | 99.90 143 | 97.29 253 | 99.62 245 | 99.56 154 |
|
TAPA-MVS | | 97.92 13 | 98.03 289 | 97.55 305 | 99.46 184 | 99.47 232 | 99.44 148 | 98.50 277 | 99.62 147 | 86.79 377 | 99.07 280 | 99.26 299 | 98.26 183 | 99.62 356 | 97.28 255 | 99.73 207 | 99.31 252 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
SR-MVS-dyc-post | | | 99.27 123 | 99.11 138 | 99.73 77 | 99.54 193 | 99.74 67 | 99.26 139 | 99.62 147 | 99.16 160 | 99.52 185 | 99.64 157 | 98.41 165 | 99.91 123 | 97.27 256 | 99.61 252 | 99.54 165 |
|
RE-MVS-def | | | | 99.13 131 | | 99.54 193 | 99.74 67 | 99.26 139 | 99.62 147 | 99.16 160 | 99.52 185 | 99.64 157 | 98.57 140 | | 97.27 256 | 99.61 252 | 99.54 165 |
|
test_yl | | | 98.25 278 | 97.95 285 | 99.13 259 | 99.17 312 | 98.47 274 | 99.00 211 | 98.67 339 | 98.97 182 | 99.22 257 | 99.02 336 | 91.31 336 | 99.69 326 | 97.26 258 | 98.93 331 | 99.24 262 |
|
DCV-MVSNet | | | 98.25 278 | 97.95 285 | 99.13 259 | 99.17 312 | 98.47 274 | 99.00 211 | 98.67 339 | 98.97 182 | 99.22 257 | 99.02 336 | 91.31 336 | 99.69 326 | 97.26 258 | 98.93 331 | 99.24 262 |
|
PHI-MVS | | | 99.11 170 | 98.95 187 | 99.59 140 | 99.13 317 | 99.59 118 | 99.17 167 | 99.65 136 | 97.88 287 | 99.25 249 | 99.46 251 | 98.97 85 | 99.80 287 | 97.26 258 | 99.82 159 | 99.37 236 |
|
tfpnnormal | | | 99.43 78 | 99.38 81 | 99.60 138 | 99.87 37 | 99.75 61 | 99.59 72 | 99.78 67 | 99.71 58 | 99.90 29 | 99.69 130 | 98.85 100 | 99.90 143 | 97.25 261 | 99.78 183 | 99.15 284 |
|
PatchmatchNet |  | | 97.65 304 | 97.80 296 | 97.18 349 | 98.82 356 | 92.49 373 | 99.17 167 | 98.39 352 | 98.12 271 | 98.79 308 | 99.58 202 | 90.71 347 | 99.89 161 | 97.23 262 | 99.41 293 | 99.16 282 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
CNVR-MVS | | | 98.99 195 | 98.80 209 | 99.56 154 | 99.25 298 | 99.43 152 | 98.54 273 | 99.27 294 | 98.58 227 | 98.80 307 | 99.43 256 | 98.53 149 | 99.70 320 | 97.22 263 | 99.59 259 | 99.54 165 |
|
HPM-MVS |  | | 99.25 126 | 99.07 153 | 99.78 40 | 99.81 61 | 99.75 61 | 99.61 66 | 99.67 122 | 97.72 295 | 99.35 228 | 99.25 301 | 99.23 53 | 99.92 99 | 97.21 264 | 99.82 159 | 99.67 74 |
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
mPP-MVS | | | 99.19 149 | 99.00 174 | 99.76 50 | 99.76 95 | 99.68 90 | 99.38 105 | 99.54 203 | 98.34 259 | 99.01 283 | 99.50 235 | 98.53 149 | 99.93 79 | 97.18 265 | 99.78 183 | 99.66 84 |
|
ACMMP |  | | 99.25 126 | 99.08 149 | 99.74 67 | 99.79 76 | 99.68 90 | 99.50 85 | 99.65 136 | 98.07 275 | 99.52 185 | 99.69 130 | 98.57 140 | 99.92 99 | 97.18 265 | 99.79 177 | 99.63 106 |
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 |
test1172 | | | 99.23 130 | 99.05 159 | 99.74 67 | 99.52 204 | 99.75 61 | 99.20 156 | 99.61 154 | 98.97 182 | 99.48 195 | 99.58 202 | 98.41 165 | 99.91 123 | 97.15 267 | 99.55 266 | 99.57 151 |
|
abl_6 | | | 99.36 100 | 99.23 118 | 99.75 60 | 99.71 122 | 99.74 67 | 99.33 116 | 99.76 75 | 99.07 173 | 99.65 132 | 99.63 167 | 99.09 68 | 99.92 99 | 97.13 268 | 99.76 189 | 99.58 145 |
|
thisisatest0515 | | | 96.98 320 | 96.42 327 | 98.66 306 | 99.42 250 | 97.47 322 | 97.27 361 | 94.30 380 | 97.24 320 | 99.15 268 | 98.86 355 | 85.01 376 | 99.87 189 | 97.10 269 | 99.39 295 | 98.63 338 |
|
XVG-ACMP-BASELINE | | | 99.23 130 | 99.10 146 | 99.63 124 | 99.82 54 | 99.58 121 | 98.83 237 | 99.72 99 | 98.36 250 | 99.60 156 | 99.71 117 | 98.92 90 | 99.91 123 | 97.08 270 | 99.84 140 | 99.40 228 |
|
MSDG | | | 99.08 175 | 98.98 182 | 99.37 215 | 99.60 161 | 99.13 216 | 97.54 348 | 99.74 87 | 98.84 203 | 99.53 183 | 99.55 222 | 99.10 66 | 99.79 290 | 97.07 271 | 99.86 131 | 99.18 278 |
|
SteuartSystems-ACMMP | | | 99.30 116 | 99.14 128 | 99.76 50 | 99.87 37 | 99.66 94 | 99.18 162 | 99.60 167 | 98.55 230 | 99.57 164 | 99.67 146 | 99.03 79 | 99.94 62 | 97.01 272 | 99.80 172 | 99.69 61 |
Skip Steuart: Steuart Systems R&D Blog. |
EPMVS | | | 96.53 330 | 96.32 328 | 97.17 350 | 98.18 377 | 92.97 372 | 99.39 103 | 89.95 387 | 98.21 267 | 98.61 322 | 99.59 200 | 86.69 374 | 99.72 314 | 96.99 273 | 99.23 319 | 98.81 331 |
|
MSP-MVS | | | 99.04 183 | 98.79 210 | 99.81 29 | 99.78 83 | 99.73 70 | 99.35 113 | 99.57 186 | 98.54 233 | 99.54 178 | 98.99 338 | 96.81 269 | 99.93 79 | 96.97 274 | 99.53 274 | 99.77 40 |
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 |
HPM-MVS++ |  | | 98.96 199 | 98.70 217 | 99.74 67 | 99.52 204 | 99.71 76 | 98.86 232 | 99.19 312 | 98.47 240 | 98.59 324 | 99.06 327 | 98.08 200 | 99.91 123 | 96.94 275 | 99.60 255 | 99.60 131 |
|
SR-MVS | | | 99.19 149 | 99.00 174 | 99.74 67 | 99.51 209 | 99.72 74 | 99.18 162 | 99.60 167 | 98.85 200 | 99.47 197 | 99.58 202 | 98.38 170 | 99.92 99 | 96.92 276 | 99.54 272 | 99.57 151 |
|
PGM-MVS | | | 99.20 146 | 99.01 171 | 99.77 43 | 99.75 106 | 99.71 76 | 99.16 173 | 99.72 99 | 97.99 279 | 99.42 209 | 99.60 194 | 98.81 102 | 99.93 79 | 96.91 277 | 99.74 200 | 99.66 84 |
|
HY-MVS | | 98.23 9 | 98.21 283 | 97.95 285 | 98.99 273 | 99.03 334 | 98.24 287 | 99.61 66 | 98.72 336 | 96.81 335 | 98.73 314 | 99.51 232 | 94.06 307 | 99.86 209 | 96.91 277 | 98.20 359 | 98.86 327 |
|
MDTV_nov1_ep13 | | | | 97.73 300 | | 98.70 365 | 90.83 382 | 99.15 175 | 98.02 358 | 98.51 235 | 98.82 304 | 99.61 185 | 90.98 341 | 99.66 346 | 96.89 279 | 98.92 333 | |
|
GST-MVS | | | 99.16 158 | 98.96 185 | 99.75 60 | 99.73 115 | 99.73 70 | 99.20 156 | 99.55 197 | 98.22 266 | 99.32 236 | 99.35 280 | 98.65 130 | 99.91 123 | 96.86 280 | 99.74 200 | 99.62 117 |
|
test_post1 | | | | | | | | 99.14 177 | | | | 51.63 393 | 89.54 358 | 99.82 266 | 96.86 280 | | |
|
SCA | | | 98.11 285 | 98.36 249 | 97.36 344 | 99.20 307 | 92.99 371 | 98.17 302 | 98.49 348 | 98.24 265 | 99.10 276 | 99.57 212 | 96.01 290 | 99.94 62 | 96.86 280 | 99.62 245 | 99.14 289 |
|
#test# | | | 99.12 166 | 98.90 196 | 99.76 50 | 99.73 115 | 99.70 83 | 99.10 190 | 99.59 174 | 97.60 300 | 99.36 226 | 99.37 270 | 98.80 106 | 99.91 123 | 96.84 283 | 99.75 192 | 99.68 67 |
|
XVG-OURS | | | 99.21 144 | 99.06 155 | 99.65 110 | 99.82 54 | 99.62 107 | 97.87 335 | 99.74 87 | 98.36 250 | 99.66 128 | 99.68 141 | 99.71 11 | 99.90 143 | 96.84 283 | 99.88 113 | 99.43 222 |
|
LCM-MVSNet-Re | | | 99.28 119 | 99.15 127 | 99.67 98 | 99.33 281 | 99.76 57 | 99.34 114 | 99.97 5 | 98.93 190 | 99.91 24 | 99.79 75 | 98.68 123 | 99.93 79 | 96.80 285 | 99.56 262 | 99.30 253 |
|
RPSCF | | | 99.18 153 | 99.02 168 | 99.64 117 | 99.83 47 | 99.85 17 | 99.44 97 | 99.82 45 | 98.33 260 | 99.50 192 | 99.78 82 | 97.90 214 | 99.65 352 | 96.78 286 | 99.83 150 | 99.44 216 |
|
旧先验2 | | | | | | | | 97.94 330 | | 95.33 356 | 98.94 288 | | | 99.88 176 | 96.75 287 | | |
|
MDTV_nov1_ep13_2view | | | | | | | 91.44 380 | 99.14 177 | | 97.37 314 | 99.21 259 | | 91.78 334 | | 96.75 287 | | 99.03 310 |
|
CLD-MVS | | | 98.76 224 | 98.57 229 | 99.33 223 | 99.57 180 | 98.97 234 | 97.53 350 | 99.55 197 | 96.41 340 | 99.27 247 | 99.13 317 | 99.07 74 | 99.78 293 | 96.73 289 | 99.89 104 | 99.23 265 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
Patchmatch-test | | | 98.10 286 | 97.98 283 | 98.48 312 | 99.27 295 | 96.48 343 | 99.40 101 | 99.07 320 | 98.81 205 | 99.23 253 | 99.57 212 | 90.11 354 | 99.87 189 | 96.69 290 | 99.64 242 | 99.09 298 |
|
baseline2 | | | 96.83 323 | 96.28 329 | 98.46 313 | 99.09 327 | 96.91 337 | 98.83 237 | 93.87 382 | 97.23 321 | 96.23 377 | 98.36 373 | 88.12 362 | 99.90 143 | 96.68 291 | 98.14 363 | 98.57 344 |
|
cascas | | | 96.99 319 | 96.82 325 | 97.48 340 | 97.57 383 | 95.64 355 | 96.43 375 | 99.56 191 | 91.75 372 | 97.13 373 | 97.61 383 | 95.58 296 | 98.63 381 | 96.68 291 | 99.11 322 | 98.18 363 |
|
PC_three_1452 | | | | | | | | | | 97.56 301 | 99.68 119 | 99.41 258 | 99.09 68 | 97.09 383 | 96.66 293 | 99.60 255 | 99.62 117 |
|
LPG-MVS_test | | | 99.22 139 | 99.05 159 | 99.74 67 | 99.82 54 | 99.63 105 | 99.16 173 | 99.73 90 | 97.56 301 | 99.64 134 | 99.69 130 | 99.37 36 | 99.89 161 | 96.66 293 | 99.87 124 | 99.69 61 |
|
LGP-MVS_train | | | | | 99.74 67 | 99.82 54 | 99.63 105 | | 99.73 90 | 97.56 301 | 99.64 134 | 99.69 130 | 99.37 36 | 99.89 161 | 96.66 293 | 99.87 124 | 99.69 61 |
|
TinyColmap | | | 98.97 196 | 98.93 188 | 99.07 268 | 99.46 237 | 98.19 292 | 97.75 339 | 99.75 82 | 98.79 208 | 99.54 178 | 99.70 124 | 98.97 85 | 99.62 356 | 96.63 296 | 99.83 150 | 99.41 226 |
|
LF4IMVS | | | 99.01 190 | 98.92 192 | 99.27 237 | 99.71 122 | 99.28 187 | 98.59 263 | 99.77 70 | 98.32 261 | 99.39 223 | 99.41 258 | 98.62 132 | 99.84 244 | 96.62 297 | 99.84 140 | 98.69 337 |
|
NCCC | | | 98.82 218 | 98.57 229 | 99.58 144 | 99.21 304 | 99.31 182 | 98.61 260 | 99.25 300 | 98.65 220 | 98.43 334 | 99.26 299 | 97.86 218 | 99.81 282 | 96.55 298 | 99.27 314 | 99.61 127 |
|
OPU-MVS | | | | | 99.29 233 | 99.12 319 | 99.44 148 | 99.20 156 | | | | 99.40 262 | 99.00 80 | 98.84 380 | 96.54 299 | 99.60 255 | 99.58 145 |
|
F-COLMAP | | | 98.74 227 | 98.45 240 | 99.62 133 | 99.57 180 | 99.47 137 | 98.84 235 | 99.65 136 | 96.31 343 | 98.93 289 | 99.19 314 | 97.68 231 | 99.87 189 | 96.52 300 | 99.37 300 | 99.53 171 |
|
ADS-MVSNet2 | | | 97.78 297 | 97.66 304 | 98.12 327 | 99.14 315 | 95.36 357 | 99.22 153 | 98.75 335 | 96.97 329 | 98.25 340 | 99.64 157 | 90.90 343 | 99.94 62 | 96.51 301 | 99.56 262 | 99.08 301 |
|
ADS-MVSNet | | | 97.72 303 | 97.67 303 | 97.86 332 | 99.14 315 | 94.65 363 | 99.22 153 | 98.86 329 | 96.97 329 | 98.25 340 | 99.64 157 | 90.90 343 | 99.84 244 | 96.51 301 | 99.56 262 | 99.08 301 |
|
PatchMatch-RL | | | 98.68 233 | 98.47 238 | 99.30 232 | 99.44 242 | 99.28 187 | 98.14 305 | 99.54 203 | 97.12 327 | 99.11 274 | 99.25 301 | 97.80 223 | 99.70 320 | 96.51 301 | 99.30 308 | 98.93 321 |
|
CMPMVS |  | 77.52 23 | 98.50 255 | 98.19 269 | 99.41 203 | 98.33 373 | 99.56 124 | 99.01 209 | 99.59 174 | 95.44 354 | 99.57 164 | 99.80 65 | 95.64 294 | 99.46 374 | 96.47 304 | 99.92 85 | 99.21 269 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
xxxxxxxxxxxxxcwj | | | 99.11 170 | 98.96 185 | 99.54 161 | 99.53 198 | 99.25 195 | 98.29 293 | 99.76 75 | 99.07 173 | 99.42 209 | 99.61 185 | 98.86 98 | 99.87 189 | 96.45 305 | 99.68 226 | 99.49 195 |
|
SF-MVS | | | 99.10 174 | 98.93 188 | 99.62 133 | 99.58 170 | 99.51 132 | 99.13 183 | 99.65 136 | 97.97 281 | 99.42 209 | 99.61 185 | 98.86 98 | 99.87 189 | 96.45 305 | 99.68 226 | 99.49 195 |
|
FE-MVS | | | 97.85 294 | 97.42 307 | 99.15 255 | 99.44 242 | 98.75 255 | 99.77 14 | 98.20 356 | 95.85 348 | 99.33 233 | 99.80 65 | 88.86 360 | 99.88 176 | 96.40 307 | 99.12 321 | 98.81 331 |
|
DPE-MVS |  | | 99.14 162 | 98.92 192 | 99.82 26 | 99.57 180 | 99.77 49 | 98.74 253 | 99.60 167 | 98.55 230 | 99.76 84 | 99.69 130 | 98.23 188 | 99.92 99 | 96.39 308 | 99.75 192 | 99.76 45 |
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025 |
gm-plane-assit | | | | | | 97.59 381 | 89.02 388 | | | 93.47 368 | | 98.30 374 | | 99.84 244 | 96.38 309 | | |
|
AllTest | | | 99.21 144 | 99.07 153 | 99.63 124 | 99.78 83 | 99.64 101 | 99.12 187 | 99.83 40 | 98.63 222 | 99.63 138 | 99.72 110 | 98.68 123 | 99.75 307 | 96.38 309 | 99.83 150 | 99.51 184 |
|
TestCases | | | | | 99.63 124 | 99.78 83 | 99.64 101 | | 99.83 40 | 98.63 222 | 99.63 138 | 99.72 110 | 98.68 123 | 99.75 307 | 96.38 309 | 99.83 150 | 99.51 184 |
|
testdata | | | | | 99.42 196 | 99.51 209 | 98.93 242 | | 99.30 288 | 96.20 344 | 98.87 299 | 99.40 262 | 98.33 178 | 99.89 161 | 96.29 312 | 99.28 311 | 99.44 216 |
|
dp | | | 96.86 322 | 97.07 316 | 96.24 361 | 98.68 366 | 90.30 386 | 99.19 161 | 98.38 353 | 97.35 315 | 98.23 342 | 99.59 200 | 87.23 365 | 99.82 266 | 96.27 313 | 98.73 346 | 98.59 341 |
|
tpmvs | | | 97.39 312 | 97.69 301 | 96.52 357 | 98.41 370 | 91.76 376 | 99.30 126 | 98.94 328 | 97.74 294 | 97.85 360 | 99.55 222 | 92.40 329 | 99.73 312 | 96.25 314 | 98.73 346 | 98.06 365 |
|
KD-MVS_2432*1600 | | | 95.89 340 | 95.41 343 | 97.31 347 | 94.96 385 | 93.89 366 | 97.09 366 | 99.22 307 | 97.23 321 | 98.88 296 | 99.04 331 | 79.23 385 | 99.54 365 | 96.24 315 | 96.81 374 | 98.50 349 |
|
miper_refine_blended | | | 95.89 340 | 95.41 343 | 97.31 347 | 94.96 385 | 93.89 366 | 97.09 366 | 99.22 307 | 97.23 321 | 98.88 296 | 99.04 331 | 79.23 385 | 99.54 365 | 96.24 315 | 96.81 374 | 98.50 349 |
|
ACMP | | 97.51 14 | 99.05 180 | 98.84 203 | 99.67 98 | 99.78 83 | 99.55 127 | 98.88 228 | 99.66 126 | 97.11 328 | 99.47 197 | 99.60 194 | 99.07 74 | 99.89 161 | 96.18 317 | 99.85 135 | 99.58 145 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
OMC-MVS | | | 98.90 207 | 98.72 213 | 99.44 190 | 99.39 256 | 99.42 155 | 98.58 264 | 99.64 142 | 97.31 318 | 99.44 203 | 99.62 176 | 98.59 137 | 99.69 326 | 96.17 318 | 99.79 177 | 99.22 267 |
|
DP-MVS Recon | | | 98.50 255 | 98.23 262 | 99.31 230 | 99.49 220 | 99.46 141 | 98.56 269 | 99.63 144 | 94.86 363 | 98.85 301 | 99.37 270 | 97.81 222 | 99.59 362 | 96.08 319 | 99.44 287 | 98.88 325 |
|
tpm cat1 | | | 96.78 324 | 96.98 319 | 96.16 362 | 98.85 351 | 90.59 385 | 99.08 198 | 99.32 281 | 92.37 371 | 97.73 366 | 99.46 251 | 91.15 339 | 99.69 326 | 96.07 320 | 98.80 337 | 98.21 360 |
|
tpm2 | | | 96.35 333 | 96.22 330 | 96.73 355 | 98.88 350 | 91.75 377 | 99.21 155 | 98.51 346 | 93.27 369 | 97.89 357 | 99.21 310 | 84.83 377 | 99.70 320 | 96.04 321 | 98.18 362 | 98.75 336 |
|
test_0402 | | | 99.22 139 | 99.14 128 | 99.45 188 | 99.79 76 | 99.43 152 | 99.28 134 | 99.68 117 | 99.54 97 | 99.40 222 | 99.56 215 | 99.07 74 | 99.82 266 | 96.01 322 | 99.96 53 | 99.11 293 |
|
ITE_SJBPF | | | | | 99.38 212 | 99.63 154 | 99.44 148 | | 99.73 90 | 98.56 228 | 99.33 233 | 99.53 226 | 98.88 97 | 99.68 337 | 96.01 322 | 99.65 240 | 99.02 314 |
|
test_prior3 | | | 98.62 237 | 98.34 252 | 99.46 184 | 99.35 266 | 99.22 204 | 97.95 328 | 99.39 265 | 97.87 288 | 98.05 350 | 99.05 328 | 97.90 214 | 99.69 326 | 95.99 324 | 99.49 281 | 99.48 200 |
|
test_prior2 | | | | | | | | 97.95 328 | | 97.87 288 | 98.05 350 | 99.05 328 | 97.90 214 | | 95.99 324 | 99.49 281 | |
|
testdata2 | | | | | | | | | | | | | | 99.89 161 | 95.99 324 | | |
|
原ACMM1 | | | | | 99.37 215 | 99.47 232 | 98.87 249 | | 99.27 294 | 96.74 337 | 98.26 339 | 99.32 285 | 97.93 212 | 99.82 266 | 95.96 327 | 99.38 296 | 99.43 222 |
|
æ–°å‡ ä½•1 | | | | | 99.52 166 | 99.50 215 | 99.22 204 | | 99.26 297 | 95.66 353 | 98.60 323 | 99.28 294 | 97.67 232 | 99.89 161 | 95.95 328 | 99.32 306 | 99.45 211 |
|
MP-MVS |  | | 99.06 177 | 98.83 205 | 99.76 50 | 99.76 95 | 99.71 76 | 99.32 119 | 99.50 228 | 98.35 255 | 98.97 285 | 99.48 243 | 98.37 171 | 99.92 99 | 95.95 328 | 99.75 192 | 99.63 106 |
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
wuyk23d | | | 97.58 307 | 99.13 131 | 92.93 365 | 99.69 134 | 99.49 134 | 99.52 82 | 99.77 70 | 97.97 281 | 99.96 11 | 99.79 75 | 99.84 5 | 99.94 62 | 95.85 330 | 99.82 159 | 79.36 381 |
|
HQP_MVS | | | 98.90 207 | 98.68 219 | 99.55 157 | 99.58 170 | 99.24 200 | 98.80 245 | 99.54 203 | 98.94 187 | 99.14 270 | 99.25 301 | 97.24 253 | 99.82 266 | 95.84 331 | 99.78 183 | 99.60 131 |
|
plane_prior5 | | | | | | | | | 99.54 203 | | | | | 99.82 266 | 95.84 331 | 99.78 183 | 99.60 131 |
|
æ— å…ˆéªŒ | | | | | | | | 98.01 319 | 99.23 304 | 95.83 349 | | | | 99.85 227 | 95.79 333 | | 99.44 216 |
|
1121 | | | 98.56 246 | 98.24 261 | 99.52 166 | 99.49 220 | 99.24 200 | 99.30 126 | 99.22 307 | 95.77 350 | 98.52 329 | 99.29 292 | 97.39 247 | 99.85 227 | 95.79 333 | 99.34 303 | 99.46 209 |
|
CPTT-MVS | | | 98.74 227 | 98.44 241 | 99.64 117 | 99.61 159 | 99.38 165 | 99.18 162 | 99.55 197 | 96.49 339 | 99.27 247 | 99.37 270 | 97.11 261 | 99.92 99 | 95.74 335 | 99.67 233 | 99.62 117 |
|
PLC |  | 97.35 16 | 98.36 270 | 97.99 281 | 99.48 179 | 99.32 283 | 99.24 200 | 98.50 277 | 99.51 224 | 95.19 359 | 98.58 325 | 98.96 346 | 96.95 266 | 99.83 256 | 95.63 336 | 99.25 315 | 99.37 236 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
CNLPA | | | 98.57 245 | 98.34 252 | 99.28 235 | 99.18 311 | 99.10 223 | 98.34 288 | 99.41 255 | 98.48 239 | 98.52 329 | 98.98 341 | 97.05 263 | 99.78 293 | 95.59 337 | 99.50 279 | 98.96 317 |
|
1314 | | | 98.00 291 | 97.90 294 | 98.27 323 | 98.90 344 | 97.45 324 | 99.30 126 | 99.06 322 | 94.98 360 | 97.21 371 | 99.12 321 | 98.43 162 | 99.67 342 | 95.58 338 | 98.56 351 | 97.71 370 |
|
agg_prior1 | | | 98.33 275 | 97.92 291 | 99.57 150 | 99.35 266 | 99.36 172 | 97.99 323 | 99.39 265 | 94.85 364 | 97.76 364 | 98.98 341 | 98.03 203 | 99.85 227 | 95.49 339 | 99.44 287 | 99.51 184 |
|
PVSNet_0 | | 95.53 19 | 95.85 343 | 95.31 345 | 97.47 341 | 98.78 360 | 93.48 370 | 95.72 376 | 99.40 262 | 96.18 345 | 97.37 367 | 97.73 381 | 95.73 293 | 99.58 363 | 95.49 339 | 81.40 383 | 99.36 239 |
|
MAR-MVS | | | 98.24 280 | 97.92 291 | 99.19 250 | 98.78 360 | 99.65 99 | 99.17 167 | 99.14 317 | 95.36 355 | 98.04 352 | 98.81 358 | 97.47 242 | 99.72 314 | 95.47 341 | 99.06 324 | 98.21 360 |
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 |
OpenMVS |  | 98.12 10 | 98.23 281 | 97.89 295 | 99.26 239 | 99.19 309 | 99.26 191 | 99.65 58 | 99.69 114 | 91.33 374 | 98.14 348 | 99.77 89 | 98.28 181 | 99.96 38 | 95.41 342 | 99.55 266 | 98.58 343 |
|
train_agg | | | 98.35 273 | 97.95 285 | 99.57 150 | 99.35 266 | 99.35 176 | 98.11 309 | 99.41 255 | 94.90 361 | 97.92 355 | 98.99 338 | 98.02 205 | 99.85 227 | 95.38 343 | 99.44 287 | 99.50 190 |
|
9.14 | | | | 98.64 220 | | 99.45 240 | | 98.81 242 | 99.60 167 | 97.52 306 | 99.28 246 | 99.56 215 | 98.53 149 | 99.83 256 | 95.36 344 | 99.64 242 | |
|
APD-MVS |  | | 98.87 213 | 98.59 225 | 99.71 89 | 99.50 215 | 99.62 107 | 99.01 209 | 99.57 186 | 96.80 336 | 99.54 178 | 99.63 167 | 98.29 180 | 99.91 123 | 95.24 345 | 99.71 216 | 99.61 127 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
AdaColmap |  | | 98.60 240 | 98.35 251 | 99.38 212 | 99.12 319 | 99.22 204 | 98.67 259 | 99.42 254 | 97.84 292 | 98.81 305 | 99.27 296 | 97.32 251 | 99.81 282 | 95.14 346 | 99.53 274 | 99.10 295 |
|
test9_res | | | | | | | | | | | | | | | 95.10 347 | 99.44 287 | 99.50 190 |
|
CDPH-MVS | | | 98.56 246 | 98.20 266 | 99.61 136 | 99.50 215 | 99.46 141 | 98.32 291 | 99.41 255 | 95.22 357 | 99.21 259 | 99.10 324 | 98.34 176 | 99.82 266 | 95.09 348 | 99.66 237 | 99.56 154 |
|
ETH3D-3000-0.1 | | | 98.77 222 | 98.50 237 | 99.59 140 | 99.47 232 | 99.53 129 | 98.77 250 | 99.60 167 | 97.33 317 | 99.23 253 | 99.50 235 | 97.91 213 | 99.83 256 | 95.02 349 | 99.67 233 | 99.41 226 |
|
BH-untuned | | | 98.22 282 | 98.09 276 | 98.58 309 | 99.38 259 | 97.24 329 | 98.55 270 | 98.98 327 | 97.81 293 | 99.20 264 | 98.76 360 | 97.01 264 | 99.65 352 | 94.83 350 | 98.33 356 | 98.86 327 |
|
BP-MVS | | | | | | | | | | | | | | | 94.73 351 | | |
|
HQP-MVS | | | 98.36 270 | 98.02 280 | 99.39 208 | 99.31 284 | 98.94 238 | 97.98 324 | 99.37 272 | 97.45 309 | 98.15 344 | 98.83 356 | 96.67 270 | 99.70 320 | 94.73 351 | 99.67 233 | 99.53 171 |
|
QAPM | | | 98.40 268 | 97.99 281 | 99.65 110 | 99.39 256 | 99.47 137 | 99.67 47 | 99.52 220 | 91.70 373 | 98.78 310 | 99.80 65 | 98.55 143 | 99.95 48 | 94.71 353 | 99.75 192 | 99.53 171 |
|
ETH3D cwj APD-0.16 | | | 98.50 255 | 98.16 272 | 99.51 169 | 99.04 332 | 99.39 162 | 98.47 279 | 99.47 239 | 96.70 338 | 98.78 310 | 99.33 284 | 97.62 239 | 99.86 209 | 94.69 354 | 99.38 296 | 99.28 258 |
|
agg_prior2 | | | | | | | | | | | | | | | 94.58 355 | 99.46 286 | 99.50 190 |
|
BH-RMVSNet | | | 98.41 266 | 98.14 274 | 99.21 247 | 99.21 304 | 98.47 274 | 98.60 262 | 98.26 355 | 98.35 255 | 98.93 289 | 99.31 287 | 97.20 258 | 99.66 346 | 94.32 356 | 99.10 323 | 99.51 184 |
|
E-PMN | | | 97.14 318 | 97.43 306 | 96.27 360 | 98.79 358 | 91.62 378 | 95.54 377 | 99.01 326 | 99.44 115 | 98.88 296 | 99.12 321 | 92.78 323 | 99.68 337 | 94.30 357 | 99.03 327 | 97.50 371 |
|
MG-MVS | | | 98.52 252 | 98.39 246 | 98.94 277 | 99.15 314 | 97.39 326 | 98.18 300 | 99.21 311 | 98.89 197 | 99.23 253 | 99.63 167 | 97.37 249 | 99.74 309 | 94.22 358 | 99.61 252 | 99.69 61 |
|
API-MVS | | | 98.38 269 | 98.39 246 | 98.35 317 | 98.83 353 | 99.26 191 | 99.14 177 | 99.18 313 | 98.59 226 | 98.66 319 | 98.78 359 | 98.61 134 | 99.57 364 | 94.14 359 | 99.56 262 | 96.21 378 |
|
PAPM_NR | | | 98.36 270 | 98.04 278 | 99.33 223 | 99.48 226 | 98.93 242 | 98.79 248 | 99.28 293 | 97.54 304 | 98.56 327 | 98.57 366 | 97.12 260 | 99.69 326 | 94.09 360 | 98.90 335 | 99.38 233 |
|
ZD-MVS | | | | | | 99.43 245 | 99.61 113 | | 99.43 252 | 96.38 341 | 99.11 274 | 99.07 326 | 97.86 218 | 99.92 99 | 94.04 361 | 99.49 281 | |
|
DPM-MVS | | | 98.28 276 | 97.94 289 | 99.32 227 | 99.36 264 | 99.11 218 | 97.31 360 | 98.78 334 | 96.88 331 | 98.84 302 | 99.11 323 | 97.77 225 | 99.61 360 | 94.03 362 | 99.36 301 | 99.23 265 |
|
gg-mvs-nofinetune | | | 95.87 342 | 95.17 346 | 97.97 329 | 98.19 376 | 96.95 335 | 99.69 40 | 89.23 388 | 99.89 18 | 96.24 376 | 99.94 16 | 81.19 381 | 99.51 370 | 93.99 363 | 98.20 359 | 97.44 372 |
|
PMVS |  | 92.94 21 | 98.82 218 | 98.81 207 | 98.85 291 | 99.84 43 | 97.99 304 | 99.20 156 | 99.47 239 | 99.71 58 | 99.42 209 | 99.82 59 | 98.09 198 | 99.47 372 | 93.88 364 | 99.85 135 | 99.07 306 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
testtj | | | 98.56 246 | 98.17 271 | 99.72 83 | 99.45 240 | 99.60 115 | 98.88 228 | 99.50 228 | 96.88 331 | 99.18 265 | 99.48 243 | 97.08 262 | 99.92 99 | 93.69 365 | 99.38 296 | 99.63 106 |
|
EMVS | | | 96.96 321 | 97.28 310 | 95.99 363 | 98.76 362 | 91.03 381 | 95.26 378 | 98.61 341 | 99.34 130 | 98.92 292 | 98.88 354 | 93.79 311 | 99.66 346 | 92.87 366 | 99.05 325 | 97.30 375 |
|
BH-w/o | | | 97.20 315 | 97.01 318 | 97.76 335 | 99.08 328 | 95.69 354 | 98.03 318 | 98.52 345 | 95.76 351 | 97.96 354 | 98.02 378 | 95.62 295 | 99.47 372 | 92.82 367 | 97.25 373 | 98.12 364 |
|
TR-MVS | | | 97.44 311 | 97.15 315 | 98.32 319 | 98.53 369 | 97.46 323 | 98.47 279 | 97.91 361 | 96.85 333 | 98.21 343 | 98.51 370 | 96.42 278 | 99.51 370 | 92.16 368 | 97.29 372 | 97.98 367 |
|
OpenMVS_ROB |  | 97.31 17 | 97.36 314 | 96.84 324 | 98.89 290 | 99.29 290 | 99.45 146 | 98.87 231 | 99.48 235 | 86.54 379 | 99.44 203 | 99.74 100 | 97.34 250 | 99.86 209 | 91.61 369 | 99.28 311 | 97.37 374 |
|
GG-mvs-BLEND | | | | | 97.36 344 | 97.59 381 | 96.87 338 | 99.70 34 | 88.49 389 | | 94.64 382 | 97.26 387 | 80.66 382 | 99.12 377 | 91.50 370 | 96.50 378 | 96.08 380 |
|
DeepMVS_CX |  | | | | 97.98 328 | 99.69 134 | 96.95 335 | | 99.26 297 | 75.51 381 | 95.74 379 | 98.28 375 | 96.47 276 | 99.62 356 | 91.23 371 | 97.89 367 | 97.38 373 |
|
ETH3 D test6400 | | | 97.76 298 | 97.19 314 | 99.50 172 | 99.38 259 | 99.26 191 | 98.34 288 | 99.49 233 | 92.99 370 | 98.54 328 | 99.20 312 | 95.92 292 | 99.82 266 | 91.14 372 | 99.66 237 | 99.40 228 |
|
PAPR | | | 97.56 308 | 97.07 316 | 99.04 271 | 98.80 357 | 98.11 298 | 97.63 344 | 99.25 300 | 94.56 367 | 98.02 353 | 98.25 376 | 97.43 244 | 99.68 337 | 90.90 373 | 98.74 344 | 99.33 245 |
|
MVS | | | 95.72 345 | 94.63 349 | 98.99 273 | 98.56 368 | 97.98 310 | 99.30 126 | 98.86 329 | 72.71 382 | 97.30 368 | 99.08 325 | 98.34 176 | 99.74 309 | 89.21 374 | 98.33 356 | 99.26 259 |
|
thres600view7 | | | 96.60 329 | 96.16 331 | 97.93 330 | 99.63 154 | 96.09 350 | 99.18 162 | 97.57 364 | 98.77 211 | 98.72 315 | 97.32 385 | 87.04 367 | 99.72 314 | 88.57 375 | 98.62 349 | 97.98 367 |
|
FPMVS | | | 96.32 334 | 95.50 341 | 98.79 299 | 99.60 161 | 98.17 294 | 98.46 284 | 98.80 333 | 97.16 325 | 96.28 374 | 99.63 167 | 82.19 380 | 99.09 378 | 88.45 376 | 98.89 336 | 99.10 295 |
|
PCF-MVS | | 96.03 18 | 96.73 326 | 95.86 337 | 99.33 223 | 99.44 242 | 99.16 213 | 96.87 371 | 99.44 248 | 86.58 378 | 98.95 287 | 99.40 262 | 94.38 305 | 99.88 176 | 87.93 377 | 99.80 172 | 98.95 319 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
thres100view900 | | | 96.39 332 | 96.03 334 | 97.47 341 | 99.63 154 | 95.93 351 | 99.18 162 | 97.57 364 | 98.75 215 | 98.70 317 | 97.31 386 | 87.04 367 | 99.67 342 | 87.62 378 | 98.51 353 | 96.81 376 |
|
tfpn200view9 | | | 96.30 335 | 95.89 335 | 97.53 339 | 99.58 170 | 96.11 348 | 99.00 211 | 97.54 367 | 98.43 241 | 98.52 329 | 96.98 388 | 86.85 369 | 99.67 342 | 87.62 378 | 98.51 353 | 96.81 376 |
|
thres400 | | | 96.40 331 | 95.89 335 | 97.92 331 | 99.58 170 | 96.11 348 | 99.00 211 | 97.54 367 | 98.43 241 | 98.52 329 | 96.98 388 | 86.85 369 | 99.67 342 | 87.62 378 | 98.51 353 | 97.98 367 |
|
thres200 | | | 96.09 338 | 95.68 340 | 97.33 346 | 99.48 226 | 96.22 347 | 98.53 274 | 97.57 364 | 98.06 276 | 98.37 336 | 96.73 390 | 86.84 371 | 99.61 360 | 86.99 381 | 98.57 350 | 96.16 379 |
|
MVE |  | 92.54 22 | 96.66 328 | 96.11 332 | 98.31 321 | 99.68 142 | 97.55 321 | 97.94 330 | 95.60 376 | 99.37 127 | 90.68 384 | 98.70 362 | 96.56 272 | 98.61 382 | 86.94 382 | 99.55 266 | 98.77 335 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
PAPM | | | 95.61 346 | 94.71 348 | 98.31 321 | 99.12 319 | 96.63 341 | 96.66 374 | 98.46 349 | 90.77 375 | 96.25 375 | 98.68 363 | 93.01 321 | 99.69 326 | 81.60 383 | 97.86 369 | 98.62 339 |
|
test123 | | | 29.31 351 | 33.05 356 | 18.08 367 | 25.93 391 | 12.24 391 | 97.53 350 | 10.93 392 | 11.78 385 | 24.21 386 | 50.08 395 | 21.04 390 | 8.60 386 | 23.51 384 | 32.43 385 | 33.39 382 |
|
testmvs | | | 28.94 352 | 33.33 354 | 15.79 368 | 26.03 390 | 9.81 392 | 96.77 372 | 15.67 391 | 11.55 386 | 23.87 387 | 50.74 394 | 19.03 391 | 8.53 387 | 23.21 385 | 33.07 384 | 29.03 383 |
|
test_blank | | | 8.33 355 | 11.11 358 | 0.00 369 | 0.00 392 | 0.00 393 | 0.00 380 | 0.00 393 | 0.00 387 | 0.00 388 | 100.00 1 | 0.00 392 | 0.00 388 | 0.00 386 | 0.00 386 | 0.00 384 |
|
uanet_test | | | 8.33 355 | 11.11 358 | 0.00 369 | 0.00 392 | 0.00 393 | 0.00 380 | 0.00 393 | 0.00 387 | 0.00 388 | 100.00 1 | 0.00 392 | 0.00 388 | 0.00 386 | 0.00 386 | 0.00 384 |
|
DCPMVS | | | 8.33 355 | 11.11 358 | 0.00 369 | 0.00 392 | 0.00 393 | 0.00 380 | 0.00 393 | 0.00 387 | 0.00 388 | 100.00 1 | 0.00 392 | 0.00 388 | 0.00 386 | 0.00 386 | 0.00 384 |
|
cdsmvs_eth3d_5k | | | 24.88 353 | 33.17 355 | 0.00 369 | 0.00 392 | 0.00 393 | 0.00 380 | 99.62 147 | 0.00 387 | 0.00 388 | 99.13 317 | 99.82 6 | 0.00 388 | 0.00 386 | 0.00 386 | 0.00 384 |
|
pcd_1.5k_mvsjas | | | 16.61 354 | 22.14 357 | 0.00 369 | 0.00 392 | 0.00 393 | 0.00 380 | 0.00 393 | 0.00 387 | 0.00 388 | 100.00 1 | 99.28 46 | 0.00 388 | 0.00 386 | 0.00 386 | 0.00 384 |
|
sosnet-low-res | | | 8.33 355 | 11.11 358 | 0.00 369 | 0.00 392 | 0.00 393 | 0.00 380 | 0.00 393 | 0.00 387 | 0.00 388 | 100.00 1 | 0.00 392 | 0.00 388 | 0.00 386 | 0.00 386 | 0.00 384 |
|
sosnet | | | 8.33 355 | 11.11 358 | 0.00 369 | 0.00 392 | 0.00 393 | 0.00 380 | 0.00 393 | 0.00 387 | 0.00 388 | 100.00 1 | 0.00 392 | 0.00 388 | 0.00 386 | 0.00 386 | 0.00 384 |
|
uncertanet | | | 8.33 355 | 11.11 358 | 0.00 369 | 0.00 392 | 0.00 393 | 0.00 380 | 0.00 393 | 0.00 387 | 0.00 388 | 100.00 1 | 0.00 392 | 0.00 388 | 0.00 386 | 0.00 386 | 0.00 384 |
|
Regformer | | | 8.33 355 | 11.11 358 | 0.00 369 | 0.00 392 | 0.00 393 | 0.00 380 | 0.00 393 | 0.00 387 | 0.00 388 | 100.00 1 | 0.00 392 | 0.00 388 | 0.00 386 | 0.00 386 | 0.00 384 |
|
ab-mvs-re | | | 8.26 363 | 11.02 366 | 0.00 369 | 0.00 392 | 0.00 393 | 0.00 380 | 0.00 393 | 0.00 387 | 0.00 388 | 99.16 315 | 0.00 392 | 0.00 388 | 0.00 386 | 0.00 386 | 0.00 384 |
|
uanet | | | 8.33 355 | 11.11 358 | 0.00 369 | 0.00 392 | 0.00 393 | 0.00 380 | 0.00 393 | 0.00 387 | 0.00 388 | 100.00 1 | 0.00 392 | 0.00 388 | 0.00 386 | 0.00 386 | 0.00 384 |
|
FOURS1 | | | | | | 99.83 47 | 99.89 10 | 99.74 23 | 99.71 102 | 99.69 65 | 99.63 138 | | | | | | |
|
test_one_0601 | | | | | | 99.63 154 | 99.76 57 | | 99.55 197 | 99.23 147 | 99.31 240 | 99.61 185 | 98.59 137 | | | | |
|
eth-test2 | | | | | | 0.00 392 | | | | | | | | | | | |
|
eth-test | | | | | | 0.00 392 | | | | | | | | | | | |
|
test_241102_ONE | | | | | | 99.69 134 | 99.82 33 | | 99.54 203 | 99.12 169 | 99.82 59 | 99.49 240 | 98.91 92 | 99.52 369 | | | |
|
save fliter | | | | | | 99.53 198 | 99.25 195 | 98.29 293 | 99.38 271 | 99.07 173 | | | | | | | |
|
test0726 | | | | | | 99.69 134 | 99.80 41 | 99.24 146 | 99.57 186 | 99.16 160 | 99.73 105 | 99.65 155 | 98.35 173 | | | | |
|
GSMVS | | | | | | | | | | | | | | | | | 99.14 289 |
|
test_part2 | | | | | | 99.62 158 | 99.67 92 | | | | 99.55 176 | | | | | | |
|
sam_mvs1 | | | | | | | | | | | | | 90.81 346 | | | | 99.14 289 |
|
sam_mvs | | | | | | | | | | | | | 90.52 350 | | | | |
|
MTGPA |  | | | | | | | | 99.53 212 | | | | | | | | |
|
test_post | | | | | | | | | | | | 52.41 392 | 90.25 352 | 99.86 209 | | | |
|
patchmatchnet-post | | | | | | | | | | | | 99.62 176 | 90.58 348 | 99.94 62 | | | |
|
MTMP | | | | | | | | 99.09 195 | 98.59 344 | | | | | | | | |
|
TEST9 | | | | | | 99.35 266 | 99.35 176 | 98.11 309 | 99.41 255 | 94.83 365 | 97.92 355 | 98.99 338 | 98.02 205 | 99.85 227 | | | |
|
test_8 | | | | | | 99.34 276 | 99.31 182 | 98.08 313 | 99.40 262 | 94.90 361 | 97.87 359 | 98.97 344 | 98.02 205 | 99.84 244 | | | |
|
agg_prior | | | | | | 99.35 266 | 99.36 172 | | 99.39 265 | | 97.76 364 | | | 99.85 227 | | | |
|
test_prior4 | | | | | | | 99.19 211 | 98.00 321 | | | | | | | | | |
|
test_prior | | | | | 99.46 184 | 99.35 266 | 99.22 204 | | 99.39 265 | | | | | 99.69 326 | | | 99.48 200 |
|
æ–°å‡ ä½•2 | | | | | | | | 98.04 317 | | | | | | | | | |
|
旧先验1 | | | | | | 99.49 220 | 99.29 185 | | 99.26 297 | | | 99.39 266 | 97.67 232 | | | 99.36 301 | 99.46 209 |
|
原ACMM2 | | | | | | | | 97.92 332 | | | | | | | | | |
|
test222 | | | | | | 99.51 209 | 99.08 226 | 97.83 337 | 99.29 290 | 95.21 358 | 98.68 318 | 99.31 287 | 97.28 252 | | | 99.38 296 | 99.43 222 |
|
segment_acmp | | | | | | | | | | | | | 98.37 171 | | | | |
|
testdata1 | | | | | | | | 97.72 340 | | 97.86 291 | | | | | | | |
|
test12 | | | | | 99.54 161 | 99.29 290 | 99.33 179 | | 99.16 315 | | 98.43 334 | | 97.54 240 | 99.82 266 | | 99.47 284 | 99.48 200 |
|
plane_prior7 | | | | | | 99.58 170 | 99.38 165 | | | | | | | | | | |
|
plane_prior6 | | | | | | 99.47 232 | 99.26 191 | | | | | | 97.24 253 | | | | |
|
plane_prior4 | | | | | | | | | | | | 99.25 301 | | | | | |
|
plane_prior3 | | | | | | | 99.31 182 | | | 98.36 250 | 99.14 270 | | | | | | |
|
plane_prior2 | | | | | | | | 98.80 245 | | 98.94 187 | | | | | | | |
|
plane_prior1 | | | | | | 99.51 209 | | | | | | | | | | | |
|
plane_prior | | | | | | | 99.24 200 | 98.42 285 | | 97.87 288 | | | | | | 99.71 216 | |
|
n2 | | | | | | | | | 0.00 393 | | | | | | | | |
|
nn | | | | | | | | | 0.00 393 | | | | | | | | |
|
door-mid | | | | | | | | | 99.83 40 | | | | | | | | |
|
test11 | | | | | | | | | 99.29 290 | | | | | | | | |
|
door | | | | | | | | | 99.77 70 | | | | | | | | |
|
HQP5-MVS | | | | | | | 98.94 238 | | | | | | | | | | |
|
HQP-NCC | | | | | | 99.31 284 | | 97.98 324 | | 97.45 309 | 98.15 344 | | | | | | |
|
ACMP_Plane | | | | | | 99.31 284 | | 97.98 324 | | 97.45 309 | 98.15 344 | | | | | | |
|
HQP4-MVS | | | | | | | | | | | 98.15 344 | | | 99.70 320 | | | 99.53 171 |
|
HQP3-MVS | | | | | | | | | 99.37 272 | | | | | | | 99.67 233 | |
|
HQP2-MVS | | | | | | | | | | | | | 96.67 270 | | | | |
|
NP-MVS | | | | | | 99.40 254 | 99.13 216 | | | | | 98.83 356 | | | | | |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 99.94 73 | |
|
ACMMP++ | | | | | | | | | | | | | | | | 99.79 177 | |
|
Test By Simon | | | | | | | | | | | | | 98.41 165 | | | | |
|