semantic-postprocess | | | | | 98.51 279 | 99.75 111 | 95.90 317 | | 99.84 37 | 99.84 23 | 99.89 38 | 99.73 98 | 95.96 267 | 99.99 4 | 99.33 65 | 100.00 1 | 99.63 99 |
|
new-patchmatchnet | | | 99.35 102 | 99.57 48 | 98.71 275 | 99.82 53 | 96.62 304 | 98.55 251 | 99.75 84 | 99.50 90 | 99.88 46 | 99.87 37 | 99.31 35 | 99.88 139 | 99.43 53 | 100.00 1 | 99.62 113 |
|
pcd1.5k->3k | | | 49.97 330 | 55.52 331 | 33.31 343 | 99.95 13 | 0.00 361 | 0.00 352 | 99.81 56 | 0.00 356 | 0.00 357 | 100.00 1 | 99.96 1 | 0.00 359 | 0.00 356 | 100.00 1 | 99.92 3 |
|
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 |
|
UA-Net | | | 99.78 15 | 99.76 18 | 99.86 18 | 99.72 130 | 99.71 52 | 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 |
|
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 |
|
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 |
|
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 |
|
v15 | | | 99.72 25 | 99.73 24 | 99.68 82 | 99.82 53 | 99.44 117 | 99.70 29 | 99.85 29 | 99.72 45 | 99.95 16 | 99.88 34 | 98.76 105 | 99.84 210 | 99.90 9 | 100.00 1 | 99.75 40 |
|
v13 | | | 99.76 17 | 99.77 14 | 99.73 63 | 99.86 35 | 99.55 96 | 99.77 13 | 99.86 22 | 99.79 33 | 99.96 8 | 99.91 20 | 98.90 84 | 99.87 158 | 99.91 5 | 100.00 1 | 99.78 31 |
|
v12 | | | 99.75 19 | 99.77 14 | 99.72 68 | 99.85 39 | 99.53 99 | 99.75 17 | 99.86 22 | 99.78 34 | 99.96 8 | 99.90 23 | 98.88 87 | 99.86 178 | 99.91 5 | 100.00 1 | 99.77 34 |
|
v11 | | | 99.75 19 | 99.76 18 | 99.71 72 | 99.85 39 | 99.49 102 | 99.73 21 | 99.84 37 | 99.75 39 | 99.95 16 | 99.90 23 | 98.93 80 | 99.86 178 | 99.92 3 | 100.00 1 | 99.77 34 |
|
V14 | | | 99.73 24 | 99.74 21 | 99.69 79 | 99.83 46 | 99.48 105 | 99.72 25 | 99.85 29 | 99.74 40 | 99.96 8 | 99.89 31 | 98.79 98 | 99.85 194 | 99.91 5 | 100.00 1 | 99.76 37 |
|
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 72 | 99.84 42 | 99.50 100 | 99.74 19 | 99.86 22 | 99.76 38 | 99.96 8 | 99.90 23 | 98.83 90 | 99.85 194 | 99.91 5 | 100.00 1 | 99.77 34 |
|
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 |
|
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 |
|
IterMVS | | | 98.97 184 | 99.16 121 | 98.42 284 | 99.74 117 | 95.64 324 | 98.06 300 | 99.83 40 | 99.83 26 | 99.85 57 | 99.74 94 | 96.10 265 | 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. |
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_0304 | | | 99.17 150 | 99.10 139 | 99.38 192 | 99.08 303 | 98.86 226 | 98.46 265 | 99.73 92 | 99.53 87 | 99.35 205 | 99.30 254 | 97.11 240 | 99.96 33 | 99.33 65 | 99.99 20 | 99.33 224 |
|
pmmvs-eth3d | | | 99.48 70 | 99.47 69 | 99.51 156 | 99.77 98 | 99.41 131 | 98.81 228 | 99.66 123 | 99.42 108 | 99.75 90 | 99.66 146 | 99.20 48 | 99.76 277 | 98.98 110 | 99.99 20 | 99.36 219 |
|
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 |
|
v18 | | | 99.68 33 | 99.69 29 | 99.65 97 | 99.79 82 | 99.40 132 | 99.68 41 | 99.83 40 | 99.66 62 | 99.93 26 | 99.85 45 | 98.65 124 | 99.84 210 | 99.87 18 | 99.99 20 | 99.71 49 |
|
v17 | | | 99.70 28 | 99.71 25 | 99.67 85 | 99.81 61 | 99.44 117 | 99.70 29 | 99.83 40 | 99.69 53 | 99.94 20 | 99.87 37 | 98.70 113 | 99.84 210 | 99.88 14 | 99.99 20 | 99.73 43 |
|
v16 | | | 99.70 28 | 99.71 25 | 99.67 85 | 99.81 61 | 99.43 123 | 99.70 29 | 99.83 40 | 99.70 49 | 99.94 20 | 99.87 37 | 98.69 115 | 99.84 210 | 99.88 14 | 99.99 20 | 99.73 43 |
|
v8 | | | 99.68 33 | 99.69 29 | 99.65 97 | 99.80 69 | 99.40 132 | 99.66 49 | 99.76 79 | 99.64 67 | 99.93 26 | 99.85 45 | 98.66 122 | 99.84 210 | 99.88 14 | 99.99 20 | 99.71 49 |
|
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 |
|
v10 | | | 99.69 32 | 99.69 29 | 99.66 93 | 99.81 61 | 99.39 135 | 99.66 49 | 99.75 84 | 99.60 80 | 99.92 31 | 99.87 37 | 98.75 108 | 99.86 178 | 99.90 9 | 99.99 20 | 99.73 43 |
|
testmv | | | 99.53 65 | 99.51 66 | 99.59 127 | 99.73 120 | 99.31 157 | 98.48 260 | 99.92 7 | 99.57 84 | 99.87 51 | 99.79 70 | 99.12 58 | 99.91 92 | 99.16 91 | 99.99 20 | 99.55 147 |
|
CHOSEN 1792x2688 | | | 99.39 93 | 99.30 101 | 99.65 97 | 99.88 28 | 99.25 173 | 98.78 233 | 99.88 18 | 98.66 199 | 99.96 8 | 99.79 70 | 97.45 221 | 99.93 66 | 99.34 63 | 99.99 20 | 99.78 31 |
|
no-one | | | 99.28 117 | 99.23 117 | 99.45 172 | 99.87 32 | 99.08 201 | 98.95 208 | 99.52 200 | 98.88 173 | 99.77 86 | 99.83 51 | 97.78 202 | 99.90 109 | 98.46 149 | 99.99 20 | 99.38 212 |
|
PVSNet_Blended_VisFu | | | 99.40 90 | 99.38 84 | 99.44 174 | 99.90 25 | 98.66 236 | 98.94 211 | 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 |
|
IterMVS-LS | | | 99.41 87 | 99.47 69 | 99.25 222 | 99.81 61 | 98.09 272 | 98.85 221 | 99.76 79 | 99.62 71 | 99.83 64 | 99.64 152 | 98.54 140 | 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 | | 98.90 4 | 99.62 43 | 99.61 41 | 99.67 85 | 99.72 130 | 99.44 117 | 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 |
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 |
CHOSEN 280x420 | | | 98.41 241 | 98.41 225 | 98.40 286 | 99.34 264 | 95.89 318 | 96.94 340 | 99.44 222 | 98.80 183 | 99.25 223 | 99.52 208 | 93.51 286 | 99.98 7 | 98.94 120 | 99.98 36 | 99.32 228 |
|
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 |
|
v1192 | | | 99.57 47 | 99.57 48 | 99.57 137 | 99.77 98 | 99.22 180 | 99.04 191 | 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 |
|
v1144 | | | 99.54 59 | 99.53 61 | 99.59 127 | 99.79 82 | 99.28 163 | 99.10 181 | 99.61 147 | 99.20 138 | 99.84 60 | 99.73 98 | 98.67 120 | 99.84 210 | 99.86 19 | 99.98 36 | 99.64 95 |
|
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 | 98.72 112 | 99.93 66 | 99.72 34 | 99.98 36 | 99.75 40 |
|
1111 | | | 97.29 280 | 96.71 299 | 99.04 244 | 99.65 156 | 97.72 284 | 98.35 272 | 99.80 60 | 99.40 109 | 99.66 120 | 99.43 226 | 75.10 360 | 99.87 158 | 98.98 110 | 99.98 36 | 99.52 165 |
|
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 | 98.54 140 | 99.93 66 | 99.59 39 | 99.98 36 | 99.76 37 |
|
UGNet | | | 99.38 95 | 99.34 92 | 99.49 160 | 98.90 312 | 98.90 220 | 99.70 29 | 99.35 246 | 99.86 16 | 98.57 296 | 99.81 61 | 98.50 149 | 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 |
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 | 97.94 190 | 99.92 83 | 99.65 35 | 99.98 36 | 99.62 113 |
|
Vis-MVSNet | | | 99.75 19 | 99.74 21 | 99.79 34 | 99.88 28 | 99.66 71 | 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 |
wuykxyi23d | | | 99.65 41 | 99.64 36 | 99.69 79 | 99.92 19 | 99.20 186 | 98.89 213 | 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 |
|
CANet | | | 99.11 161 | 99.05 153 | 99.28 212 | 98.83 322 | 98.56 239 | 98.71 240 | 99.41 228 | 99.25 130 | 99.23 227 | 99.22 273 | 97.66 214 | 99.94 55 | 99.19 83 | 99.97 47 | 99.33 224 |
|
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 |
|
v144192 | | | 99.55 54 | 99.54 53 | 99.58 131 | 99.78 88 | 99.20 186 | 99.11 180 | 99.62 143 | 99.18 140 | 99.89 38 | 99.72 104 | 98.66 122 | 99.87 158 | 99.88 14 | 99.97 47 | 99.66 79 |
|
v1921920 | | | 99.56 50 | 99.57 48 | 99.55 146 | 99.75 111 | 99.11 195 | 99.05 189 | 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 |
|
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 | 98.45 153 | 99.87 158 | 99.51 47 | 99.97 47 | 99.86 12 |
|
v1141 | | | 99.54 59 | 99.52 63 | 99.57 137 | 99.78 88 | 99.27 167 | 99.15 167 | 99.61 147 | 99.26 127 | 99.89 38 | 99.69 124 | 98.56 134 | 99.82 234 | 99.82 23 | 99.97 47 | 99.63 99 |
|
v2v482 | | | 99.50 66 | 99.47 69 | 99.58 131 | 99.78 88 | 99.25 173 | 99.14 172 | 99.58 173 | 99.25 130 | 99.81 71 | 99.62 167 | 98.24 170 | 99.84 210 | 99.83 20 | 99.97 47 | 99.64 95 |
|
v1 | | | 99.54 59 | 99.52 63 | 99.58 131 | 99.77 98 | 99.28 163 | 99.15 167 | 99.61 147 | 99.26 127 | 99.88 46 | 99.68 136 | 98.56 134 | 99.82 234 | 99.82 23 | 99.97 47 | 99.63 99 |
|
Patchmtry | | | 98.78 211 | 98.54 216 | 99.49 160 | 98.89 316 | 99.19 188 | 99.32 111 | 99.67 119 | 99.65 65 | 99.72 102 | 99.79 70 | 91.87 300 | 99.95 41 | 98.00 182 | 99.97 47 | 99.33 224 |
|
PVSNet_BlendedMVS | | | 99.03 172 | 99.01 163 | 99.09 237 | 99.54 197 | 97.99 276 | 98.58 246 | 99.82 48 | 97.62 270 | 99.34 209 | 99.71 111 | 98.52 146 | 99.77 275 | 97.98 183 | 99.97 47 | 99.52 165 |
|
FMVSNet1 | | | 99.66 36 | 99.63 37 | 99.73 63 | 99.78 88 | 99.77 37 | 99.68 41 | 99.70 107 | 99.67 58 | 99.82 65 | 99.83 51 | 98.98 74 | 99.90 109 | 99.24 78 | 99.97 47 | 99.53 157 |
|
HyFIR lowres test | | | 98.91 195 | 98.64 206 | 99.73 63 | 99.85 39 | 99.47 106 | 98.07 299 | 99.83 40 | 98.64 201 | 99.89 38 | 99.60 177 | 92.57 294 | 100.00 1 | 99.33 65 | 99.97 47 | 99.72 46 |
|
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 | 99.78 269 | 99.45 51 | 99.96 59 | 99.83 18 |
|
v1240 | | | 99.56 50 | 99.58 45 | 99.51 156 | 99.80 69 | 99.00 206 | 99.00 198 | 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 |
|
divwei89l23v2f112 | | | 99.54 59 | 99.52 63 | 99.57 137 | 99.78 88 | 99.27 167 | 99.15 167 | 99.61 147 | 99.26 127 | 99.89 38 | 99.69 124 | 98.56 134 | 99.82 234 | 99.82 23 | 99.96 59 | 99.63 99 |
|
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 | 98.62 128 | 99.96 33 | 99.30 71 | 99.96 59 | 99.86 12 |
|
TAMVS | | | 99.49 68 | 99.45 73 | 99.63 108 | 99.48 222 | 99.42 127 | 99.45 79 | 99.57 175 | 99.66 62 | 99.78 82 | 99.83 51 | 97.85 197 | 99.86 178 | 99.44 52 | 99.96 59 | 99.61 118 |
|
test_0402 | | | 99.22 137 | 99.14 124 | 99.45 172 | 99.79 82 | 99.43 123 | 99.28 130 | 99.68 116 | 99.54 85 | 99.40 193 | 99.56 197 | 99.07 66 | 99.82 234 | 96.01 283 | 99.96 59 | 99.11 259 |
|
CANet_DTU | | | 98.91 195 | 98.85 187 | 99.09 237 | 98.79 327 | 98.13 267 | 98.18 284 | 99.31 255 | 99.48 92 | 98.86 271 | 99.51 212 | 96.56 251 | 99.95 41 | 99.05 104 | 99.95 65 | 99.19 243 |
|
pmmvs5 | | | 99.19 145 | 99.11 132 | 99.42 179 | 99.76 103 | 98.88 223 | 98.55 251 | 99.73 92 | 98.82 180 | 99.72 102 | 99.62 167 | 96.56 251 | 99.82 234 | 99.32 68 | 99.95 65 | 99.56 144 |
|
testing_2 | | | 99.58 46 | 99.56 51 | 99.62 116 | 99.81 61 | 99.44 117 | 99.14 172 | 99.43 225 | 99.69 53 | 99.82 65 | 99.79 70 | 99.14 54 | 99.79 261 | 99.31 70 | 99.95 65 | 99.63 99 |
|
v6 | | | 99.55 54 | 99.54 53 | 99.61 119 | 99.80 69 | 99.39 135 | 99.32 111 | 99.60 161 | 99.18 140 | 99.87 51 | 99.68 136 | 98.65 124 | 99.82 234 | 99.79 26 | 99.95 65 | 99.61 118 |
|
V42 | | | 99.56 50 | 99.54 53 | 99.63 108 | 99.79 82 | 99.46 110 | 99.39 86 | 99.59 165 | 99.24 132 | 99.86 56 | 99.70 118 | 98.55 138 | 99.82 234 | 99.79 26 | 99.95 65 | 99.60 124 |
|
EU-MVSNet | | | 99.39 93 | 99.62 38 | 98.72 274 | 99.88 28 | 96.44 306 | 99.56 70 | 99.85 29 | 99.90 6 | 99.90 35 | 99.85 45 | 98.09 179 | 99.83 226 | 99.58 41 | 99.95 65 | 99.90 5 |
|
PMMVS2 | | | 99.48 70 | 99.45 73 | 99.57 137 | 99.76 103 | 98.99 207 | 98.09 295 | 99.90 14 | 98.95 165 | 99.78 82 | 99.58 185 | 99.57 20 | 99.93 66 | 99.48 49 | 99.95 65 | 99.79 30 |
|
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 | 98.67 120 | 99.97 16 | 99.30 71 | 99.95 65 | 99.80 25 |
|
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 | 98.18 177 | 99.94 55 | 99.28 76 | 99.95 65 | 99.83 18 |
|
K. test v3 | | | 98.87 201 | 98.60 208 | 99.69 79 | 99.93 18 | 99.46 110 | 99.74 19 | 94.97 353 | 99.78 34 | 99.88 46 | 99.88 34 | 93.66 285 | 99.97 16 | 99.61 38 | 99.95 65 | 99.64 95 |
|
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 | 99.60 124 |
|
Gipuma | | | 99.57 47 | 99.59 43 | 99.49 160 | 99.98 3 | 99.71 52 | 99.72 25 | 99.84 37 | 99.81 28 | 99.94 20 | 99.78 79 | 98.91 83 | 99.71 295 | 98.41 151 | 99.95 65 | 99.05 275 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
v148 | | | 99.40 90 | 99.41 80 | 99.39 190 | 99.76 103 | 98.94 213 | 99.09 185 | 99.59 165 | 99.17 145 | 99.81 71 | 99.61 174 | 98.41 156 | 99.69 302 | 99.32 68 | 99.94 77 | 99.53 157 |
|
v1neww | | | 99.55 54 | 99.54 53 | 99.61 119 | 99.80 69 | 99.39 135 | 99.32 111 | 99.61 147 | 99.18 140 | 99.87 51 | 99.69 124 | 98.64 126 | 99.82 234 | 99.79 26 | 99.94 77 | 99.60 124 |
|
v7new | | | 99.55 54 | 99.54 53 | 99.61 119 | 99.80 69 | 99.39 135 | 99.32 111 | 99.61 147 | 99.18 140 | 99.87 51 | 99.69 124 | 98.64 126 | 99.82 234 | 99.79 26 | 99.94 77 | 99.60 124 |
|
v7 | | | 99.56 50 | 99.54 53 | 99.61 119 | 99.80 69 | 99.39 135 | 99.30 121 | 99.59 165 | 99.14 149 | 99.82 65 | 99.72 104 | 98.75 108 | 99.84 210 | 99.83 20 | 99.94 77 | 99.61 118 |
|
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 | 98.56 134 | 99.96 33 | 99.29 74 | 99.94 77 | 99.83 18 |
|
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 | 97.79 201 | 99.95 41 | 99.21 79 | 99.94 77 | 99.84 15 |
|
FMVSNet2 | | | 99.35 102 | 99.28 108 | 99.55 146 | 99.49 216 | 99.35 151 | 99.45 79 | 99.57 175 | 99.44 101 | 99.70 108 | 99.74 94 | 97.21 234 | 99.87 158 | 99.03 105 | 99.94 77 | 99.44 196 |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 99.94 77 | |
|
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 | 98.27 168 | 99.85 194 | 99.37 60 | 99.93 85 | 99.83 18 |
|
pmmvs4 | | | 99.13 156 | 99.06 148 | 99.36 199 | 99.57 183 | 99.10 198 | 98.01 303 | 99.25 268 | 98.78 186 | 99.58 147 | 99.44 225 | 98.24 170 | 99.76 277 | 98.74 134 | 99.93 85 | 99.22 237 |
|
XXY-MVS | | | 99.71 27 | 99.67 32 | 99.81 27 | 99.89 27 | 99.72 51 | 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 |
|
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 |
|
EI-MVSNet | | | 99.38 95 | 99.44 75 | 99.21 227 | 99.58 174 | 98.09 272 | 99.26 134 | 99.46 217 | 99.62 71 | 99.75 90 | 99.67 142 | 98.54 140 | 99.85 194 | 99.15 92 | 99.92 88 | 99.68 62 |
|
test12356 | | | 98.43 238 | 98.39 227 | 98.55 278 | 99.46 231 | 96.36 307 | 97.32 336 | 99.81 56 | 97.60 272 | 99.62 138 | 99.37 236 | 94.57 278 | 99.89 124 | 97.80 193 | 99.92 88 | 99.40 207 |
|
TranMVSNet+NR-MVSNet | | | 99.54 59 | 99.47 69 | 99.76 42 | 99.58 174 | 99.64 77 | 99.30 121 | 99.63 140 | 99.61 75 | 99.71 106 | 99.56 197 | 98.76 105 | 99.96 33 | 99.14 98 | 99.92 88 | 99.68 62 |
|
lessismore_v0 | | | | | 99.64 104 | 99.86 35 | 99.38 141 | | 90.66 356 | | 99.89 38 | 99.83 51 | 94.56 279 | 99.97 16 | 99.56 43 | 99.92 88 | 99.57 143 |
|
SixPastTwentyTwo | | | 99.42 84 | 99.30 101 | 99.76 42 | 99.92 19 | 99.67 68 | 99.70 29 | 99.14 280 | 99.65 65 | 99.89 38 | 99.90 23 | 96.20 262 | 99.94 55 | 99.42 57 | 99.92 88 | 99.67 69 |
|
MVSTER | | | 98.47 235 | 98.22 240 | 99.24 224 | 99.06 305 | 98.35 252 | 99.08 186 | 99.46 217 | 99.27 123 | 99.75 90 | 99.66 146 | 88.61 324 | 99.85 194 | 99.14 98 | 99.92 88 | 99.52 165 |
|
N_pmnet | | | 98.73 216 | 98.53 217 | 99.35 200 | 99.72 130 | 98.67 235 | 98.34 274 | 94.65 354 | 98.35 229 | 99.79 79 | 99.68 136 | 98.03 183 | 99.93 66 | 98.28 162 | 99.92 88 | 99.44 196 |
|
CSCG | | | 99.37 97 | 99.29 106 | 99.60 125 | 99.71 133 | 99.46 110 | 99.43 82 | 99.85 29 | 98.79 184 | 99.41 189 | 99.60 177 | 98.92 81 | 99.92 83 | 98.02 180 | 99.92 88 | 99.43 202 |
|
CMPMVS | | 77.52 23 | 98.50 231 | 98.19 245 | 99.41 186 | 98.33 343 | 99.56 93 | 99.01 196 | 99.59 165 | 95.44 323 | 99.57 149 | 99.80 63 | 95.64 269 | 99.46 347 | 96.47 268 | 99.92 88 | 99.21 240 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
test1235678 | | | 98.93 194 | 98.84 189 | 99.19 230 | 99.46 231 | 98.55 240 | 97.53 329 | 99.77 73 | 98.76 190 | 99.69 110 | 99.48 217 | 96.69 248 | 99.90 109 | 98.30 160 | 99.91 98 | 99.11 259 |
|
EG-PatchMatch MVS | | | 99.57 47 | 99.56 51 | 99.62 116 | 99.77 98 | 99.33 154 | 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 |
|
EI-MVSNet-UG-set | | | 99.48 70 | 99.50 67 | 99.42 179 | 99.57 183 | 98.65 238 | 99.24 140 | 99.46 217 | 99.68 56 | 99.80 74 | 99.66 146 | 98.99 73 | 99.89 124 | 99.19 83 | 99.90 100 | 99.72 46 |
|
YYNet1 | | | 98.95 190 | 98.99 168 | 98.84 261 | 99.64 158 | 97.14 298 | 98.22 282 | 99.32 251 | 98.92 170 | 99.59 146 | 99.66 146 | 97.40 223 | 99.83 226 | 98.27 163 | 99.90 100 | 99.55 147 |
|
GBi-Net | | | 99.42 84 | 99.31 96 | 99.73 63 | 99.49 216 | 99.77 37 | 99.68 41 | 99.70 107 | 99.44 101 | 99.62 138 | 99.83 51 | 97.21 234 | 99.90 109 | 98.96 115 | 99.90 100 | 99.53 157 |
|
FMVSNet5 | | | 97.80 268 | 97.25 279 | 99.42 179 | 98.83 322 | 98.97 210 | 99.38 92 | 99.80 60 | 98.87 174 | 99.25 223 | 99.69 124 | 80.60 356 | 99.91 92 | 98.96 115 | 99.90 100 | 99.38 212 |
|
test1 | | | 99.42 84 | 99.31 96 | 99.73 63 | 99.49 216 | 99.77 37 | 99.68 41 | 99.70 107 | 99.44 101 | 99.62 138 | 99.83 51 | 97.21 234 | 99.90 109 | 98.96 115 | 99.90 100 | 99.53 157 |
|
FMVSNet3 | | | 98.80 209 | 98.63 207 | 99.32 207 | 99.13 295 | 98.72 232 | 99.10 181 | 99.48 210 | 99.23 134 | 99.62 138 | 99.64 152 | 92.57 294 | 99.86 178 | 98.96 115 | 99.90 100 | 99.39 209 |
|
EI-MVSNet-Vis-set | | | 99.47 76 | 99.49 68 | 99.42 179 | 99.57 183 | 98.66 236 | 99.24 140 | 99.46 217 | 99.67 58 | 99.79 79 | 99.65 151 | 98.97 76 | 99.89 124 | 99.15 92 | 99.89 106 | 99.71 49 |
|
DSMNet-mixed | | | 99.48 70 | 99.65 34 | 98.95 249 | 99.71 133 | 97.27 295 | 99.50 74 | 99.82 48 | 99.59 82 | 99.41 189 | 99.85 45 | 99.62 16 | 100.00 1 | 99.53 46 | 99.89 106 | 99.59 135 |
|
Vis-MVSNet (Re-imp) | | | 98.77 212 | 98.58 211 | 99.34 201 | 99.78 88 | 98.88 223 | 99.61 60 | 99.56 178 | 99.11 152 | 99.24 226 | 99.56 197 | 93.00 292 | 99.78 269 | 97.43 217 | 99.89 106 | 99.35 221 |
|
EPP-MVSNet | | | 99.17 150 | 99.00 165 | 99.66 93 | 99.80 69 | 99.43 123 | 99.70 29 | 99.24 271 | 99.48 92 | 99.56 156 | 99.77 85 | 94.89 275 | 99.93 66 | 98.72 136 | 99.89 106 | 99.63 99 |
|
CLD-MVS | | | 98.76 213 | 98.57 213 | 99.33 203 | 99.57 183 | 98.97 210 | 97.53 329 | 99.55 181 | 96.41 308 | 99.27 220 | 99.13 279 | 99.07 66 | 99.78 269 | 96.73 255 | 99.89 106 | 99.23 236 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
ACMH | | 98.42 6 | 99.59 45 | 99.54 53 | 99.72 68 | 99.86 35 | 99.62 83 | 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 |
VPA-MVSNet | | | 99.66 36 | 99.62 38 | 99.79 34 | 99.68 149 | 99.75 44 | 99.62 56 | 99.69 113 | 99.85 19 | 99.80 74 | 99.81 61 | 98.81 91 | 99.91 92 | 99.47 50 | 99.88 112 | 99.70 53 |
|
MDA-MVSNet_test_wron | | | 98.95 190 | 98.99 168 | 98.85 259 | 99.64 158 | 97.16 297 | 98.23 281 | 99.33 249 | 98.93 168 | 99.56 156 | 99.66 146 | 97.39 225 | 99.83 226 | 98.29 161 | 99.88 112 | 99.55 147 |
|
XVG-OURS | | | 99.21 140 | 99.06 148 | 99.65 97 | 99.82 53 | 99.62 83 | 97.87 319 | 99.74 89 | 98.36 224 | 99.66 120 | 99.68 136 | 99.71 11 | 99.90 109 | 96.84 248 | 99.88 112 | 99.43 202 |
|
CDS-MVSNet | | | 99.22 137 | 99.13 127 | 99.50 158 | 99.35 254 | 99.11 195 | 98.96 207 | 99.54 185 | 99.46 99 | 99.61 143 | 99.70 118 | 96.31 259 | 99.83 226 | 99.34 63 | 99.88 112 | 99.55 147 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
IS-MVSNet | | | 99.03 172 | 98.85 187 | 99.55 146 | 99.80 69 | 99.25 173 | 99.73 21 | 99.15 279 | 99.37 113 | 99.61 143 | 99.71 111 | 94.73 277 | 99.81 253 | 97.70 198 | 99.88 112 | 99.58 139 |
|
USDC | | | 98.96 187 | 98.93 175 | 99.05 243 | 99.54 197 | 97.99 276 | 97.07 339 | 99.80 60 | 98.21 240 | 99.75 90 | 99.77 85 | 98.43 154 | 99.64 329 | 97.90 186 | 99.88 112 | 99.51 168 |
|
ACMH+ | | 98.40 8 | 99.50 66 | 99.43 78 | 99.71 72 | 99.86 35 | 99.76 41 | 99.32 111 | 99.77 73 | 99.53 87 | 99.77 86 | 99.76 88 | 99.26 45 | 99.78 269 | 97.77 194 | 99.88 112 | 99.60 124 |
|
SD-MVS | | | 99.01 178 | 99.30 101 | 98.15 295 | 99.50 211 | 99.40 132 | 98.94 211 | 99.61 147 | 99.22 137 | 99.75 90 | 99.82 58 | 99.54 22 | 95.51 356 | 97.48 214 | 99.87 119 | 99.54 154 |
|
UniMVSNet (Re) | | | 99.37 97 | 99.26 112 | 99.68 82 | 99.51 206 | 99.58 90 | 98.98 205 | 99.60 161 | 99.43 106 | 99.70 108 | 99.36 241 | 97.70 205 | 99.88 139 | 99.20 82 | 99.87 119 | 99.59 135 |
|
WR-MVS | | | 99.11 161 | 98.93 175 | 99.66 93 | 99.30 274 | 99.42 127 | 98.42 269 | 99.37 243 | 99.04 159 | 99.57 149 | 99.20 275 | 96.89 246 | 99.86 178 | 98.66 141 | 99.87 119 | 99.70 53 |
|
NR-MVSNet | | | 99.40 90 | 99.31 96 | 99.68 82 | 99.43 238 | 99.55 96 | 99.73 21 | 99.50 205 | 99.46 99 | 99.88 46 | 99.36 241 | 97.54 217 | 99.87 158 | 98.97 114 | 99.87 119 | 99.63 99 |
|
LPG-MVS_test | | | 99.22 137 | 99.05 153 | 99.74 55 | 99.82 53 | 99.63 81 | 99.16 165 | 99.73 92 | 97.56 274 | 99.64 128 | 99.69 124 | 99.37 30 | 99.89 124 | 96.66 258 | 99.87 119 | 99.69 56 |
|
LGP-MVS_train | | | | | 99.74 55 | 99.82 53 | 99.63 81 | | 99.73 92 | 97.56 274 | 99.64 128 | 99.69 124 | 99.37 30 | 99.89 124 | 96.66 258 | 99.87 119 | 99.69 56 |
|
COLMAP_ROB | | 98.06 12 | 99.45 79 | 99.37 87 | 99.70 78 | 99.83 46 | 99.70 59 | 99.38 92 | 99.78 70 | 99.53 87 | 99.67 116 | 99.78 79 | 99.19 49 | 99.86 178 | 97.32 222 | 99.87 119 | 99.55 147 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
test20.03 | | | 99.55 54 | 99.54 53 | 99.58 131 | 99.79 82 | 99.37 144 | 99.02 194 | 99.89 15 | 99.60 80 | 99.82 65 | 99.62 167 | 98.81 91 | 99.89 124 | 99.43 53 | 99.86 126 | 99.47 185 |
|
Baseline_NR-MVSNet | | | 99.49 68 | 99.37 87 | 99.82 25 | 99.91 21 | 99.84 18 | 98.83 224 | 99.86 22 | 99.68 56 | 99.65 126 | 99.88 34 | 97.67 210 | 99.87 158 | 99.03 105 | 99.86 126 | 99.76 37 |
|
MSDG | | | 99.08 164 | 98.98 171 | 99.37 196 | 99.60 168 | 99.13 193 | 97.54 327 | 99.74 89 | 98.84 179 | 99.53 165 | 99.55 202 | 99.10 59 | 99.79 261 | 97.07 238 | 99.86 126 | 99.18 246 |
|
Patchmatch-RL test | | | 98.60 222 | 98.36 231 | 99.33 203 | 99.77 98 | 99.07 203 | 98.27 278 | 99.87 20 | 98.91 171 | 99.74 98 | 99.72 104 | 90.57 314 | 99.79 261 | 98.55 145 | 99.85 129 | 99.11 259 |
|
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 98 | 99.93 66 | 98.46 149 | 99.85 129 | 99.80 25 |
|
ACMP | | 97.51 14 | 99.05 169 | 98.84 189 | 99.67 85 | 99.78 88 | 99.55 96 | 98.88 215 | 99.66 123 | 97.11 293 | 99.47 174 | 99.60 177 | 99.07 66 | 99.89 124 | 96.18 275 | 99.85 129 | 99.58 139 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
PMVS | | 92.94 21 | 98.82 206 | 98.81 194 | 98.85 259 | 99.84 42 | 97.99 276 | 99.20 150 | 99.47 214 | 99.71 47 | 99.42 183 | 99.82 58 | 98.09 179 | 99.47 344 | 93.88 330 | 99.85 129 | 99.07 273 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
Anonymous20231206 | | | 99.35 102 | 99.31 96 | 99.47 165 | 99.74 117 | 99.06 205 | 99.28 130 | 99.74 89 | 99.23 134 | 99.72 102 | 99.53 206 | 97.63 216 | 99.88 139 | 99.11 100 | 99.84 133 | 99.48 181 |
|
Regformer-3 | | | 99.41 87 | 99.41 80 | 99.40 187 | 99.52 202 | 98.70 233 | 99.17 159 | 99.44 222 | 99.62 71 | 99.75 90 | 99.60 177 | 98.90 84 | 99.85 194 | 98.89 123 | 99.84 133 | 99.65 89 |
|
Regformer-4 | | | 99.45 79 | 99.44 75 | 99.50 158 | 99.52 202 | 98.94 213 | 99.17 159 | 99.53 190 | 99.64 67 | 99.76 89 | 99.60 177 | 98.96 79 | 99.90 109 | 98.91 122 | 99.84 133 | 99.67 69 |
|
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 | 99.51 169 | 99.50 215 | 99.31 35 | 99.88 139 | 98.18 171 | 99.84 133 | 99.69 56 |
|
XVG-ACMP-BASELINE | | | 99.23 128 | 99.10 139 | 99.63 108 | 99.82 53 | 99.58 90 | 98.83 224 | 99.72 101 | 98.36 224 | 99.60 145 | 99.71 111 | 98.92 81 | 99.91 92 | 97.08 237 | 99.84 133 | 99.40 207 |
|
new_pmnet | | | 98.88 200 | 98.89 182 | 98.84 261 | 99.70 140 | 97.62 289 | 98.15 287 | 99.50 205 | 97.98 250 | 99.62 138 | 99.54 204 | 98.15 178 | 99.94 55 | 97.55 210 | 99.84 133 | 98.95 281 |
|
Test_1112_low_res | | | 98.95 190 | 98.73 199 | 99.63 108 | 99.68 149 | 99.15 192 | 98.09 295 | 99.80 60 | 97.14 290 | 99.46 176 | 99.40 231 | 96.11 264 | 99.89 124 | 99.01 107 | 99.84 133 | 99.84 15 |
|
1112_ss | | | 99.05 169 | 98.84 189 | 99.67 85 | 99.66 154 | 99.29 161 | 98.52 256 | 99.82 48 | 97.65 269 | 99.43 181 | 99.16 277 | 96.42 257 | 99.91 92 | 99.07 103 | 99.84 133 | 99.80 25 |
|
3Dnovator | | 99.15 2 | 99.43 81 | 99.36 90 | 99.65 97 | 99.39 246 | 99.42 127 | 99.70 29 | 99.56 178 | 99.23 134 | 99.35 205 | 99.80 63 | 99.17 51 | 99.95 41 | 98.21 166 | 99.84 133 | 99.59 135 |
|
LF4IMVS | | | 99.01 178 | 98.92 178 | 99.27 214 | 99.71 133 | 99.28 163 | 98.59 245 | 99.77 73 | 98.32 235 | 99.39 194 | 99.41 230 | 98.62 128 | 99.84 210 | 96.62 261 | 99.84 133 | 98.69 296 |
|
ACMMP_Plus | | | 99.28 117 | 99.11 132 | 99.79 34 | 99.75 111 | 99.81 28 | 98.95 208 | 99.53 190 | 98.27 238 | 99.53 165 | 99.73 98 | 98.75 108 | 99.87 158 | 97.70 198 | 99.83 143 | 99.68 62 |
|
AllTest | | | 99.21 140 | 99.07 146 | 99.63 108 | 99.78 88 | 99.64 77 | 99.12 179 | 99.83 40 | 98.63 202 | 99.63 131 | 99.72 104 | 98.68 117 | 99.75 283 | 96.38 269 | 99.83 143 | 99.51 168 |
|
TestCases | | | | | 99.63 108 | 99.78 88 | 99.64 77 | | 99.83 40 | 98.63 202 | 99.63 131 | 99.72 104 | 98.68 117 | 99.75 283 | 96.38 269 | 99.83 143 | 99.51 168 |
|
PM-MVS | | | 99.36 100 | 99.29 106 | 99.58 131 | 99.83 46 | 99.66 71 | 98.95 208 | 99.86 22 | 98.85 176 | 99.81 71 | 99.73 98 | 98.40 158 | 99.92 83 | 98.36 154 | 99.83 143 | 99.17 248 |
|
EPNet | | | 98.13 259 | 97.77 270 | 99.18 233 | 94.57 356 | 97.99 276 | 99.24 140 | 97.96 320 | 99.74 40 | 97.29 341 | 99.62 167 | 93.13 289 | 99.97 16 | 98.59 142 | 99.83 143 | 99.58 139 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
PVSNet_Blended | | | 98.70 217 | 98.59 209 | 99.02 246 | 99.54 197 | 97.99 276 | 97.58 326 | 99.82 48 | 95.70 320 | 99.34 209 | 98.98 302 | 98.52 146 | 99.77 275 | 97.98 183 | 99.83 143 | 99.30 230 |
|
MVS-HIRNet | | | 97.86 267 | 98.22 240 | 96.76 326 | 99.28 277 | 91.53 348 | 98.38 271 | 92.60 355 | 99.13 150 | 99.31 215 | 99.96 11 | 97.18 238 | 99.68 310 | 98.34 156 | 99.83 143 | 99.07 273 |
|
RPSCF | | | 99.18 147 | 99.02 160 | 99.64 104 | 99.83 46 | 99.85 13 | 99.44 81 | 99.82 48 | 98.33 234 | 99.50 171 | 99.78 79 | 97.90 192 | 99.65 327 | 96.78 251 | 99.83 143 | 99.44 196 |
|
TinyColmap | | | 98.97 184 | 98.93 175 | 99.07 241 | 99.46 231 | 98.19 264 | 97.75 322 | 99.75 84 | 98.79 184 | 99.54 162 | 99.70 118 | 98.97 76 | 99.62 332 | 96.63 260 | 99.83 143 | 99.41 206 |
|
SMA-MVS | | | 99.23 128 | 99.06 148 | 99.74 55 | 99.46 231 | 99.76 41 | 99.13 177 | 99.58 173 | 97.62 270 | 99.68 112 | 99.64 152 | 99.02 72 | 99.83 226 | 97.61 207 | 99.82 152 | 99.63 99 |
|
MP-MVS-pluss | | | 99.14 155 | 98.92 178 | 99.80 29 | 99.83 46 | 99.83 22 | 98.61 242 | 99.63 140 | 96.84 297 | 99.44 177 | 99.58 185 | 98.81 91 | 99.91 92 | 97.70 198 | 99.82 152 | 99.67 69 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
MDA-MVSNet-bldmvs | | | 99.06 166 | 99.05 153 | 99.07 241 | 99.80 69 | 97.83 282 | 98.89 213 | 99.72 101 | 99.29 120 | 99.63 131 | 99.70 118 | 96.47 255 | 99.89 124 | 98.17 173 | 99.82 152 | 99.50 174 |
|
jason | | | 99.16 152 | 99.11 132 | 99.32 207 | 99.75 111 | 98.44 244 | 98.26 279 | 99.39 237 | 98.70 197 | 99.74 98 | 99.30 254 | 98.54 140 | 99.97 16 | 98.48 148 | 99.82 152 | 99.55 147 |
jason: jason. |
HPM-MVS | | | 99.25 124 | 99.07 146 | 99.78 37 | 99.81 61 | 99.75 44 | 99.61 60 | 99.67 119 | 97.72 264 | 99.35 205 | 99.25 264 | 99.23 46 | 99.92 83 | 97.21 232 | 99.82 152 | 99.67 69 |
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
114514_t | | | 98.49 233 | 98.11 248 | 99.64 104 | 99.73 120 | 99.58 90 | 99.24 140 | 99.76 79 | 89.94 347 | 99.42 183 | 99.56 197 | 97.76 203 | 99.86 178 | 97.74 196 | 99.82 152 | 99.47 185 |
|
CP-MVS | | | 99.23 128 | 99.05 153 | 99.75 51 | 99.66 154 | 99.66 71 | 99.38 92 | 99.62 143 | 98.38 222 | 99.06 249 | 99.27 260 | 98.79 98 | 99.94 55 | 97.51 213 | 99.82 152 | 99.66 79 |
|
PHI-MVS | | | 99.11 161 | 98.95 174 | 99.59 127 | 99.13 295 | 99.59 88 | 99.17 159 | 99.65 132 | 97.88 255 | 99.25 223 | 99.46 223 | 98.97 76 | 99.80 258 | 97.26 227 | 99.82 152 | 99.37 216 |
|
wuyk23d | | | 97.58 274 | 99.13 127 | 92.93 340 | 99.69 142 | 99.49 102 | 99.52 72 | 99.77 73 | 97.97 251 | 99.96 8 | 99.79 70 | 99.84 4 | 99.94 55 | 95.85 291 | 99.82 152 | 79.36 353 |
|
CVMVSNet | | | 98.61 221 | 98.88 183 | 97.80 308 | 99.58 174 | 93.60 336 | 99.26 134 | 99.64 137 | 99.66 62 | 99.72 102 | 99.67 142 | 93.26 288 | 99.93 66 | 99.30 71 | 99.81 161 | 99.87 10 |
|
UniMVSNet_NR-MVSNet | | | 99.37 97 | 99.25 114 | 99.72 68 | 99.47 227 | 99.56 93 | 98.97 206 | 99.61 147 | 99.43 106 | 99.67 116 | 99.28 258 | 97.85 197 | 99.95 41 | 99.17 88 | 99.81 161 | 99.65 89 |
|
DU-MVS | | | 99.33 110 | 99.21 119 | 99.71 72 | 99.43 238 | 99.56 93 | 98.83 224 | 99.53 190 | 99.38 112 | 99.67 116 | 99.36 241 | 97.67 210 | 99.95 41 | 99.17 88 | 99.81 161 | 99.63 99 |
|
DeepPCF-MVS | | 98.42 6 | 99.18 147 | 99.02 160 | 99.67 85 | 99.22 284 | 99.75 44 | 97.25 337 | 99.47 214 | 98.72 196 | 99.66 120 | 99.70 118 | 99.29 37 | 99.63 331 | 98.07 179 | 99.81 161 | 99.62 113 |
|
ACMM | | 98.09 11 | 99.46 77 | 99.38 84 | 99.72 68 | 99.80 69 | 99.69 63 | 99.13 177 | 99.65 132 | 98.99 162 | 99.64 128 | 99.72 104 | 99.39 24 | 99.86 178 | 98.23 164 | 99.81 161 | 99.60 124 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
SteuartSystems-ACMMP | | | 99.30 114 | 99.14 124 | 99.76 42 | 99.87 32 | 99.66 71 | 99.18 152 | 99.60 161 | 98.55 208 | 99.57 149 | 99.67 142 | 99.03 71 | 99.94 55 | 97.01 240 | 99.80 166 | 99.69 56 |
Skip Steuart: Steuart Systems R&D Blog. |
DP-MVS | | | 99.48 70 | 99.39 82 | 99.74 55 | 99.57 183 | 99.62 83 | 99.29 129 | 99.61 147 | 99.87 13 | 99.74 98 | 99.76 88 | 98.69 115 | 99.87 158 | 98.20 167 | 99.80 166 | 99.75 40 |
|
PCF-MVS | | 96.03 18 | 96.73 303 | 95.86 315 | 99.33 203 | 99.44 236 | 99.16 190 | 96.87 341 | 99.44 222 | 86.58 349 | 98.95 261 | 99.40 231 | 94.38 280 | 99.88 139 | 87.93 346 | 99.80 166 | 98.95 281 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
zzz-MVS | | | 99.30 114 | 99.14 124 | 99.80 29 | 99.81 61 | 99.81 28 | 98.73 238 | 99.53 190 | 99.27 123 | 99.42 183 | 99.63 160 | 98.21 173 | 99.95 41 | 97.83 191 | 99.79 169 | 99.65 89 |
|
MTAPA | | | 99.35 102 | 99.20 120 | 99.80 29 | 99.81 61 | 99.81 28 | 99.33 108 | 99.53 190 | 99.27 123 | 99.42 183 | 99.63 160 | 98.21 173 | 99.95 41 | 97.83 191 | 99.79 169 | 99.65 89 |
|
ACMMP++ | | | | | | | | | | | | | | | | 99.79 169 | |
|
ACMMP | | | 99.25 124 | 99.08 142 | 99.74 55 | 99.79 82 | 99.68 66 | 99.50 74 | 99.65 132 | 98.07 245 | 99.52 167 | 99.69 124 | 98.57 133 | 99.92 83 | 97.18 234 | 99.79 169 | 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 |
OMC-MVS | | | 98.90 197 | 98.72 200 | 99.44 174 | 99.39 246 | 99.42 127 | 98.58 246 | 99.64 137 | 97.31 286 | 99.44 177 | 99.62 167 | 98.59 132 | 99.69 302 | 96.17 276 | 99.79 169 | 99.22 237 |
|
tfpnnormal | | | 99.43 81 | 99.38 84 | 99.60 125 | 99.87 32 | 99.75 44 | 99.59 65 | 99.78 70 | 99.71 47 | 99.90 35 | 99.69 124 | 98.85 89 | 99.90 109 | 97.25 228 | 99.78 174 | 99.15 250 |
|
HQP_MVS | | | 98.90 197 | 98.68 203 | 99.55 146 | 99.58 174 | 99.24 176 | 98.80 229 | 99.54 185 | 98.94 166 | 99.14 240 | 99.25 264 | 97.24 231 | 99.82 234 | 95.84 292 | 99.78 174 | 99.60 124 |
|
plane_prior5 | | | | | | | | | 99.54 185 | | | | | 99.82 234 | 95.84 292 | 99.78 174 | 99.60 124 |
|
mPP-MVS | | | 99.19 145 | 99.00 165 | 99.76 42 | 99.76 103 | 99.68 66 | 99.38 92 | 99.54 185 | 98.34 233 | 99.01 252 | 99.50 215 | 98.53 144 | 99.93 66 | 97.18 234 | 99.78 174 | 99.66 79 |
|
OPM-MVS | | | 99.26 123 | 99.13 127 | 99.63 108 | 99.70 140 | 99.61 87 | 98.58 246 | 99.48 210 | 98.50 212 | 99.52 167 | 99.63 160 | 99.14 54 | 99.76 277 | 97.89 187 | 99.77 178 | 99.51 168 |
|
MVS_111021_LR | | | 99.13 156 | 99.03 159 | 99.42 179 | 99.58 174 | 99.32 156 | 97.91 318 | 99.73 92 | 98.68 198 | 99.31 215 | 99.48 217 | 99.09 61 | 99.66 320 | 97.70 198 | 99.77 178 | 99.29 233 |
|
abl_6 | | | 99.36 100 | 99.23 117 | 99.75 51 | 99.71 133 | 99.74 49 | 99.33 108 | 99.76 79 | 99.07 158 | 99.65 126 | 99.63 160 | 99.09 61 | 99.92 83 | 97.13 236 | 99.76 180 | 99.58 139 |
|
MIMVSNet | | | 98.43 238 | 98.20 242 | 99.11 235 | 99.53 200 | 98.38 250 | 99.58 67 | 98.61 303 | 98.96 164 | 99.33 211 | 99.76 88 | 90.92 307 | 99.81 253 | 97.38 220 | 99.76 180 | 99.15 250 |
|
MVS_111021_HR | | | 99.12 158 | 99.02 160 | 99.40 187 | 99.50 211 | 99.11 195 | 97.92 316 | 99.71 104 | 98.76 190 | 99.08 245 | 99.47 220 | 99.17 51 | 99.54 340 | 97.85 190 | 99.76 180 | 99.54 154 |
|
TSAR-MVS + MP. | | | 99.34 107 | 99.24 115 | 99.63 108 | 99.82 53 | 99.37 144 | 99.26 134 | 99.35 246 | 98.77 187 | 99.57 149 | 99.70 118 | 99.27 42 | 99.88 139 | 97.71 197 | 99.75 183 | 99.65 89 |
|
HFP-MVS | | | 99.25 124 | 99.08 142 | 99.76 42 | 99.73 120 | 99.70 59 | 99.31 118 | 99.59 165 | 98.36 224 | 99.36 203 | 99.37 236 | 98.80 95 | 99.91 92 | 97.43 217 | 99.75 183 | 99.68 62 |
|
#test# | | | 99.12 158 | 98.90 181 | 99.76 42 | 99.73 120 | 99.70 59 | 99.10 181 | 99.59 165 | 97.60 272 | 99.36 203 | 99.37 236 | 98.80 95 | 99.91 92 | 96.84 248 | 99.75 183 | 99.68 62 |
|
ACMMPR | | | 99.23 128 | 99.06 148 | 99.76 42 | 99.74 117 | 99.69 63 | 99.31 118 | 99.59 165 | 98.36 224 | 99.35 205 | 99.38 235 | 98.61 130 | 99.93 66 | 97.43 217 | 99.75 183 | 99.67 69 |
|
MP-MVS | | | 99.06 166 | 98.83 192 | 99.76 42 | 99.76 103 | 99.71 52 | 99.32 111 | 99.50 205 | 98.35 229 | 98.97 255 | 99.48 217 | 98.37 161 | 99.92 83 | 95.95 289 | 99.75 183 | 99.63 99 |
|
QAPM | | | 98.40 243 | 97.99 254 | 99.65 97 | 99.39 246 | 99.47 106 | 99.67 46 | 99.52 200 | 91.70 344 | 98.78 279 | 99.80 63 | 98.55 138 | 99.95 41 | 94.71 320 | 99.75 183 | 99.53 157 |
|
DeepC-MVS_fast | | 98.47 5 | 99.23 128 | 99.12 130 | 99.56 143 | 99.28 277 | 99.22 180 | 98.99 201 | 99.40 234 | 99.08 157 | 99.58 147 | 99.64 152 | 98.90 84 | 99.83 226 | 97.44 216 | 99.75 183 | 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 |
region2R | | | 99.23 128 | 99.05 153 | 99.77 39 | 99.76 103 | 99.70 59 | 99.31 118 | 99.59 165 | 98.41 219 | 99.32 213 | 99.36 241 | 98.73 111 | 99.93 66 | 97.29 224 | 99.74 190 | 99.67 69 |
|
Regformer-1 | | | 99.32 112 | 99.27 110 | 99.47 165 | 99.41 242 | 98.95 212 | 98.99 201 | 99.48 210 | 99.48 92 | 99.66 120 | 99.52 208 | 98.78 101 | 99.87 158 | 98.36 154 | 99.74 190 | 99.60 124 |
|
Regformer-2 | | | 99.34 107 | 99.27 110 | 99.53 151 | 99.41 242 | 99.10 198 | 98.99 201 | 99.53 190 | 99.47 96 | 99.66 120 | 99.52 208 | 98.80 95 | 99.89 124 | 98.31 159 | 99.74 190 | 99.60 124 |
|
PGM-MVS | | | 99.20 142 | 99.01 163 | 99.77 39 | 99.75 111 | 99.71 52 | 99.16 165 | 99.72 101 | 97.99 249 | 99.42 183 | 99.60 177 | 98.81 91 | 99.93 66 | 96.91 244 | 99.74 190 | 99.66 79 |
|
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 | 99.74 190 | 99.71 49 |
|
TSAR-MVS + GP. | | | 99.12 158 | 99.04 158 | 99.38 192 | 99.34 264 | 99.16 190 | 98.15 287 | 99.29 259 | 98.18 242 | 99.63 131 | 99.62 167 | 99.18 50 | 99.68 310 | 98.20 167 | 99.74 190 | 99.30 230 |
|
XVS | | | 99.27 122 | 99.11 132 | 99.75 51 | 99.71 133 | 99.71 52 | 99.37 96 | 99.61 147 | 99.29 120 | 98.76 280 | 99.47 220 | 98.47 150 | 99.88 139 | 97.62 205 | 99.73 196 | 99.67 69 |
|
X-MVStestdata | | | 96.09 318 | 94.87 326 | 99.75 51 | 99.71 133 | 99.71 52 | 99.37 96 | 99.61 147 | 99.29 120 | 98.76 280 | 61.30 360 | 98.47 150 | 99.88 139 | 97.62 205 | 99.73 196 | 99.67 69 |
|
VDD-MVS | | | 99.20 142 | 99.11 132 | 99.44 174 | 99.43 238 | 98.98 208 | 99.50 74 | 98.32 315 | 99.80 31 | 99.56 156 | 99.69 124 | 96.99 244 | 99.85 194 | 98.99 108 | 99.73 196 | 99.50 174 |
|
ab-mvs | | | 99.33 110 | 99.28 108 | 99.47 165 | 99.57 183 | 99.39 135 | 99.78 12 | 99.43 225 | 98.87 174 | 99.57 149 | 99.82 58 | 98.06 182 | 99.87 158 | 98.69 138 | 99.73 196 | 99.15 250 |
|
TAPA-MVS | | 97.92 13 | 98.03 264 | 97.55 276 | 99.46 168 | 99.47 227 | 99.44 117 | 98.50 258 | 99.62 143 | 86.79 348 | 99.07 248 | 99.26 262 | 98.26 169 | 99.62 332 | 97.28 226 | 99.73 196 | 99.31 229 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
3Dnovator+ | | 98.92 3 | 99.35 102 | 99.24 115 | 99.67 85 | 99.35 254 | 99.47 106 | 99.62 56 | 99.50 205 | 99.44 101 | 99.12 242 | 99.78 79 | 98.77 104 | 99.94 55 | 97.87 188 | 99.72 201 | 99.62 113 |
|
plane_prior | | | | | | | 99.24 176 | 98.42 269 | | 97.87 256 | | | | | | 99.71 202 | |
|
APD-MVS | | | 98.87 201 | 98.59 209 | 99.71 72 | 99.50 211 | 99.62 83 | 99.01 196 | 99.57 175 | 96.80 299 | 99.54 162 | 99.63 160 | 98.29 166 | 99.91 92 | 95.24 313 | 99.71 202 | 99.61 118 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
ambc | | | | | 99.20 229 | 99.35 254 | 98.53 241 | 99.17 159 | 99.46 217 | | 99.67 116 | 99.80 63 | 98.46 152 | 99.70 296 | 97.92 185 | 99.70 204 | 99.38 212 |
|
MVSFormer | | | 99.41 87 | 99.44 75 | 99.31 209 | 99.57 183 | 98.40 247 | 99.77 13 | 99.80 60 | 99.73 42 | 99.63 131 | 99.30 254 | 98.02 185 | 99.98 7 | 99.43 53 | 99.69 205 | 99.55 147 |
|
lupinMVS | | | 98.96 187 | 98.87 184 | 99.24 224 | 99.57 183 | 98.40 247 | 98.12 291 | 99.18 276 | 98.28 237 | 99.63 131 | 99.13 279 | 98.02 185 | 99.97 16 | 98.22 165 | 99.69 205 | 99.35 221 |
|
test_part1 | | | | | | | | | 99.53 190 | | | | 98.40 158 | | | 99.68 207 | 99.66 79 |
|
ESAPD | | | 98.87 201 | 98.58 211 | 99.74 55 | 99.62 165 | 99.67 68 | 98.74 235 | 99.53 190 | 97.71 265 | 99.55 159 | 99.57 192 | 98.40 158 | 99.90 109 | 94.47 322 | 99.68 207 | 99.66 79 |
|
MSLP-MVS++ | | | 99.05 169 | 99.09 141 | 98.91 253 | 99.21 285 | 98.36 251 | 98.82 227 | 99.47 214 | 98.85 176 | 98.90 268 | 99.56 197 | 98.78 101 | 99.09 350 | 98.57 143 | 99.68 207 | 99.26 234 |
|
DELS-MVS | | | 99.34 107 | 99.30 101 | 99.48 163 | 99.51 206 | 99.36 147 | 98.12 291 | 99.53 190 | 99.36 115 | 99.41 189 | 99.61 174 | 99.22 47 | 99.87 158 | 99.21 79 | 99.68 207 | 99.20 241 |
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 |
PVSNet | | 97.47 15 | 98.42 240 | 98.44 220 | 98.35 288 | 99.46 231 | 96.26 308 | 96.70 344 | 99.34 248 | 97.68 268 | 99.00 253 | 99.13 279 | 97.40 223 | 99.72 290 | 97.59 209 | 99.68 207 | 99.08 269 |
|
LS3D | | | 99.24 127 | 99.11 132 | 99.61 119 | 98.38 342 | 99.79 33 | 99.57 68 | 99.68 116 | 99.61 75 | 99.15 239 | 99.71 111 | 98.70 113 | 99.91 92 | 97.54 211 | 99.68 207 | 99.13 257 |
|
HQP3-MVS | | | | | | | | | 99.37 243 | | | | | | | 99.67 213 | |
|
CPTT-MVS | | | 98.74 214 | 98.44 220 | 99.64 104 | 99.61 167 | 99.38 141 | 99.18 152 | 99.55 181 | 96.49 307 | 99.27 220 | 99.37 236 | 97.11 240 | 99.92 83 | 95.74 296 | 99.67 213 | 99.62 113 |
|
HQP-MVS | | | 98.36 245 | 98.02 253 | 99.39 190 | 99.31 270 | 98.94 213 | 97.98 308 | 99.37 243 | 97.45 280 | 98.15 314 | 98.83 316 | 96.67 249 | 99.70 296 | 94.73 318 | 99.67 213 | 99.53 157 |
|
MVS_Test | | | 99.28 117 | 99.31 96 | 99.19 230 | 99.35 254 | 98.79 231 | 99.36 98 | 99.49 209 | 99.17 145 | 99.21 231 | 99.67 142 | 98.78 101 | 99.66 320 | 99.09 101 | 99.66 216 | 99.10 263 |
|
CDPH-MVS | | | 98.56 226 | 98.20 242 | 99.61 119 | 99.50 211 | 99.46 110 | 98.32 276 | 99.41 228 | 95.22 326 | 99.21 231 | 99.10 285 | 98.34 163 | 99.82 234 | 95.09 316 | 99.66 216 | 99.56 144 |
|
ITE_SJBPF | | | | | 99.38 192 | 99.63 160 | 99.44 117 | | 99.73 92 | 98.56 207 | 99.33 211 | 99.53 206 | 98.88 87 | 99.68 310 | 96.01 283 | 99.65 218 | 99.02 278 |
|
Patchmatch-test | | | 98.10 261 | 97.98 256 | 98.48 283 | 99.27 279 | 96.48 305 | 99.40 85 | 99.07 283 | 98.81 181 | 99.23 227 | 99.57 192 | 90.11 318 | 99.87 158 | 96.69 256 | 99.64 219 | 99.09 266 |
|
sss | | | 98.90 197 | 98.77 197 | 99.27 214 | 99.48 222 | 98.44 244 | 98.72 239 | 99.32 251 | 97.94 253 | 99.37 202 | 99.35 246 | 96.31 259 | 99.91 92 | 98.85 125 | 99.63 220 | 99.47 185 |
|
Patchmatch-test1 | | | 98.13 259 | 98.40 226 | 97.31 322 | 99.20 288 | 92.99 338 | 98.17 286 | 98.49 309 | 98.24 239 | 99.10 244 | 99.52 208 | 96.01 266 | 99.83 226 | 97.22 230 | 99.62 221 | 99.12 258 |
|
MS-PatchMatch | | | 99.00 181 | 98.97 172 | 99.09 237 | 99.11 300 | 98.19 264 | 98.76 234 | 99.33 249 | 98.49 213 | 99.44 177 | 99.58 185 | 98.21 173 | 99.69 302 | 98.20 167 | 99.62 221 | 99.39 209 |
|
APD-MVS_3200maxsize | | | 99.31 113 | 99.16 121 | 99.74 55 | 99.53 200 | 99.75 44 | 99.27 133 | 99.61 147 | 99.19 139 | 99.57 149 | 99.64 152 | 98.76 105 | 99.90 109 | 97.29 224 | 99.62 221 | 99.56 144 |
|
EPNet_dtu | | | 97.62 273 | 97.79 269 | 97.11 325 | 96.67 355 | 92.31 341 | 98.51 257 | 98.04 317 | 99.24 132 | 95.77 350 | 99.47 220 | 93.78 284 | 99.66 320 | 98.98 110 | 99.62 221 | 99.37 216 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
MG-MVS | | | 98.52 230 | 98.39 227 | 98.94 250 | 99.15 292 | 97.39 294 | 98.18 284 | 99.21 274 | 98.89 172 | 99.23 227 | 99.63 160 | 97.37 227 | 99.74 287 | 94.22 326 | 99.61 225 | 99.69 56 |
|
HPM-MVS++ | | | 98.96 187 | 98.70 201 | 99.74 55 | 99.52 202 | 99.71 52 | 98.86 218 | 99.19 275 | 98.47 215 | 98.59 294 | 99.06 294 | 98.08 181 | 99.91 92 | 96.94 243 | 99.60 226 | 99.60 124 |
|
CNVR-MVS | | | 98.99 183 | 98.80 196 | 99.56 143 | 99.25 280 | 99.43 123 | 98.54 254 | 99.27 263 | 98.58 206 | 98.80 276 | 99.43 226 | 98.53 144 | 99.70 296 | 97.22 230 | 99.59 227 | 99.54 154 |
|
MVP-Stereo | | | 99.16 152 | 99.08 142 | 99.43 177 | 99.48 222 | 99.07 203 | 99.08 186 | 99.55 181 | 98.63 202 | 99.31 215 | 99.68 136 | 98.19 176 | 99.78 269 | 98.18 171 | 99.58 228 | 99.45 191 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
test_normal | | | 98.82 206 | 98.67 204 | 99.27 214 | 99.56 194 | 98.83 228 | 98.22 282 | 98.01 319 | 99.03 160 | 99.49 173 | 99.24 269 | 96.21 261 | 99.76 277 | 98.69 138 | 99.56 229 | 99.22 237 |
|
ADS-MVSNet2 | | | 97.78 269 | 97.66 275 | 98.12 296 | 99.14 293 | 95.36 327 | 99.22 146 | 98.75 297 | 96.97 294 | 98.25 310 | 99.64 152 | 90.90 308 | 99.94 55 | 96.51 265 | 99.56 229 | 99.08 269 |
|
ADS-MVSNet | | | 97.72 271 | 97.67 274 | 97.86 306 | 99.14 293 | 94.65 332 | 99.22 146 | 98.86 291 | 96.97 294 | 98.25 310 | 99.64 152 | 90.90 308 | 99.84 210 | 96.51 265 | 99.56 229 | 99.08 269 |
|
LCM-MVSNet-Re | | | 99.28 117 | 99.15 123 | 99.67 85 | 99.33 268 | 99.76 41 | 99.34 106 | 99.97 3 | 98.93 168 | 99.91 33 | 99.79 70 | 98.68 117 | 99.93 66 | 96.80 250 | 99.56 229 | 99.30 230 |
|
Test4 | | | 98.65 219 | 98.44 220 | 99.27 214 | 99.57 183 | 98.86 226 | 98.43 268 | 99.41 228 | 98.85 176 | 99.57 149 | 98.95 309 | 93.05 290 | 99.75 283 | 98.57 143 | 99.56 229 | 99.19 243 |
|
API-MVS | | | 98.38 244 | 98.39 227 | 98.35 288 | 98.83 322 | 99.26 169 | 99.14 172 | 99.18 276 | 98.59 205 | 98.66 289 | 98.78 320 | 98.61 130 | 99.57 339 | 94.14 327 | 99.56 229 | 96.21 349 |
|
xiu_mvs_v1_base_debu | | | 99.23 128 | 99.34 92 | 98.91 253 | 99.59 171 | 98.23 261 | 98.47 261 | 99.66 123 | 99.61 75 | 99.68 112 | 98.94 310 | 99.39 24 | 99.97 16 | 99.18 85 | 99.55 235 | 98.51 304 |
|
xiu_mvs_v1_base | | | 99.23 128 | 99.34 92 | 98.91 253 | 99.59 171 | 98.23 261 | 98.47 261 | 99.66 123 | 99.61 75 | 99.68 112 | 98.94 310 | 99.39 24 | 99.97 16 | 99.18 85 | 99.55 235 | 98.51 304 |
|
xiu_mvs_v1_base_debi | | | 99.23 128 | 99.34 92 | 98.91 253 | 99.59 171 | 98.23 261 | 98.47 261 | 99.66 123 | 99.61 75 | 99.68 112 | 98.94 310 | 99.39 24 | 99.97 16 | 99.18 85 | 99.55 235 | 98.51 304 |
|
OpenMVS | | 98.12 10 | 98.23 255 | 97.89 264 | 99.26 219 | 99.19 289 | 99.26 169 | 99.65 54 | 99.69 113 | 91.33 345 | 98.14 318 | 99.77 85 | 98.28 167 | 99.96 33 | 95.41 310 | 99.55 235 | 98.58 301 |
|
MVE | | 92.54 22 | 96.66 305 | 96.11 309 | 98.31 291 | 99.68 149 | 97.55 291 | 97.94 314 | 95.60 350 | 99.37 113 | 90.68 354 | 98.70 324 | 96.56 251 | 98.61 354 | 86.94 352 | 99.55 235 | 98.77 294 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
HSP-MVS | | | 99.01 178 | 98.76 198 | 99.76 42 | 99.78 88 | 99.73 50 | 99.35 99 | 99.31 255 | 98.54 209 | 99.54 162 | 98.99 299 | 96.81 247 | 99.93 66 | 96.97 242 | 99.53 240 | 99.61 118 |
|
AdaColmap | | | 98.60 222 | 98.35 232 | 99.38 192 | 99.12 297 | 99.22 180 | 98.67 241 | 99.42 227 | 97.84 260 | 98.81 274 | 99.27 260 | 97.32 229 | 99.81 253 | 95.14 314 | 99.53 240 | 99.10 263 |
|
MCST-MVS | | | 99.02 174 | 98.81 194 | 99.65 97 | 99.58 174 | 99.49 102 | 98.58 246 | 99.07 283 | 98.40 220 | 99.04 250 | 99.25 264 | 98.51 148 | 99.80 258 | 97.31 223 | 99.51 242 | 99.65 89 |
|
mvs_anonymous | | | 99.28 117 | 99.39 82 | 98.94 250 | 99.19 289 | 97.81 283 | 99.02 194 | 99.55 181 | 99.78 34 | 99.85 57 | 99.80 63 | 98.24 170 | 99.86 178 | 99.57 42 | 99.50 243 | 99.15 250 |
|
CNLPA | | | 98.57 225 | 98.34 233 | 99.28 212 | 99.18 291 | 99.10 198 | 98.34 274 | 99.41 228 | 98.48 214 | 98.52 298 | 98.98 302 | 97.05 242 | 99.78 269 | 95.59 304 | 99.50 243 | 98.96 280 |
|
test_prior3 | | | 98.62 220 | 98.34 233 | 99.46 168 | 99.35 254 | 99.22 180 | 97.95 312 | 99.39 237 | 97.87 256 | 98.05 320 | 99.05 295 | 97.90 192 | 99.69 302 | 95.99 285 | 99.49 245 | 99.48 181 |
|
test_prior2 | | | | | | | | 97.95 312 | | 97.87 256 | 98.05 320 | 99.05 295 | 97.90 192 | | 95.99 285 | 99.49 245 | |
|
pmmvs3 | | | 98.08 262 | 97.80 267 | 98.91 253 | 99.41 242 | 97.69 287 | 97.87 319 | 99.66 123 | 95.87 315 | 99.50 171 | 99.51 212 | 90.35 316 | 99.97 16 | 98.55 145 | 99.47 247 | 99.08 269 |
|
test12 | | | | | 99.54 150 | 99.29 275 | 99.33 154 | | 99.16 278 | | 98.43 304 | | 97.54 217 | 99.82 234 | | 99.47 247 | 99.48 181 |
|
agg_prior2 | | | | | | | | | | | | | | | 94.58 321 | 99.46 249 | 99.50 174 |
|
test9_res | | | | | | | | | | | | | | | 95.10 315 | 99.44 250 | 99.50 174 |
|
train_agg | | | 98.35 248 | 97.95 258 | 99.57 137 | 99.35 254 | 99.35 151 | 98.11 293 | 99.41 228 | 94.90 330 | 97.92 325 | 98.99 299 | 98.02 185 | 99.85 194 | 95.38 311 | 99.44 250 | 99.50 174 |
|
agg_prior3 | | | 98.24 253 | 97.81 266 | 99.53 151 | 99.34 264 | 99.26 169 | 98.09 295 | 99.39 237 | 94.21 338 | 97.77 334 | 98.96 307 | 97.74 204 | 99.84 210 | 95.38 311 | 99.44 250 | 99.50 174 |
|
agg_prior1 | | | 98.33 251 | 97.92 260 | 99.57 137 | 99.35 254 | 99.36 147 | 97.99 307 | 99.39 237 | 94.85 333 | 97.76 335 | 98.98 302 | 98.03 183 | 99.85 194 | 95.49 306 | 99.44 250 | 99.51 168 |
|
VPNet | | | 99.46 77 | 99.37 87 | 99.71 72 | 99.82 53 | 99.59 88 | 99.48 78 | 99.70 107 | 99.81 28 | 99.69 110 | 99.58 185 | 97.66 214 | 99.86 178 | 99.17 88 | 99.44 250 | 99.67 69 |
|
diffmvs | | | 98.94 193 | 98.87 184 | 99.13 234 | 99.37 251 | 98.90 220 | 99.25 138 | 99.64 137 | 97.55 276 | 99.04 250 | 99.58 185 | 97.23 233 | 99.64 329 | 98.73 135 | 99.44 250 | 98.86 288 |
|
DP-MVS Recon | | | 98.50 231 | 98.23 239 | 99.31 209 | 99.49 216 | 99.46 110 | 98.56 250 | 99.63 140 | 94.86 332 | 98.85 272 | 99.37 236 | 97.81 199 | 99.59 337 | 96.08 278 | 99.44 250 | 98.88 286 |
|
LFMVS | | | 98.46 236 | 98.19 245 | 99.26 219 | 99.24 282 | 98.52 242 | 99.62 56 | 96.94 338 | 99.87 13 | 99.31 215 | 99.58 185 | 91.04 305 | 99.81 253 | 98.68 140 | 99.42 257 | 99.45 191 |
|
DI_MVS_plusplus_test | | | 98.80 209 | 98.65 205 | 99.27 214 | 99.57 183 | 98.90 220 | 98.44 267 | 97.95 322 | 99.02 161 | 99.51 169 | 99.23 272 | 96.18 263 | 99.76 277 | 98.52 147 | 99.42 257 | 99.14 254 |
|
Fast-Effi-MVS+ | | | 99.02 174 | 98.87 184 | 99.46 168 | 99.38 249 | 99.50 100 | 99.04 191 | 99.79 68 | 97.17 288 | 98.62 291 | 98.74 323 | 99.34 34 | 99.95 41 | 98.32 158 | 99.41 259 | 98.92 284 |
|
LP | | | 98.34 250 | 98.44 220 | 98.05 297 | 98.88 319 | 95.31 329 | 99.28 130 | 98.74 298 | 99.12 151 | 98.98 254 | 99.79 70 | 93.40 287 | 99.93 66 | 98.38 152 | 99.41 259 | 98.90 285 |
|
PatchmatchNet | | | 97.65 272 | 97.80 267 | 97.18 323 | 98.82 325 | 92.49 340 | 99.17 159 | 98.39 313 | 98.12 243 | 98.79 277 | 99.58 185 | 90.71 312 | 99.89 124 | 97.23 229 | 99.41 259 | 99.16 249 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
原ACMM1 | | | | | 99.37 196 | 99.47 227 | 98.87 225 | | 99.27 263 | 96.74 300 | 98.26 309 | 99.32 249 | 97.93 191 | 99.82 234 | 95.96 288 | 99.38 262 | 99.43 202 |
|
test222 | | | | | | 99.51 206 | 99.08 201 | 97.83 321 | 99.29 259 | 95.21 327 | 98.68 288 | 99.31 251 | 97.28 230 | | | 99.38 262 | 99.43 202 |
|
F-COLMAP | | | 98.74 214 | 98.45 219 | 99.62 116 | 99.57 183 | 99.47 106 | 98.84 222 | 99.65 132 | 96.31 309 | 98.93 263 | 99.19 276 | 97.68 209 | 99.87 158 | 96.52 264 | 99.37 264 | 99.53 157 |
|
旧先验1 | | | | | | 99.49 216 | 99.29 161 | | 99.26 265 | | | 99.39 234 | 97.67 210 | | | 99.36 265 | 99.46 189 |
|
PS-MVSNAJ | | | 99.00 181 | 99.08 142 | 98.76 268 | 99.37 251 | 98.10 271 | 98.00 305 | 99.51 202 | 99.47 96 | 99.41 189 | 98.50 332 | 99.28 39 | 99.97 16 | 98.83 126 | 99.34 266 | 98.20 320 |
|
1121 | | | 98.56 226 | 98.24 238 | 99.52 153 | 99.49 216 | 99.24 176 | 99.30 121 | 99.22 273 | 95.77 318 | 98.52 298 | 99.29 257 | 97.39 225 | 99.85 194 | 95.79 294 | 99.34 266 | 99.46 189 |
|
xiu_mvs_v2_base | | | 99.02 174 | 99.11 132 | 98.77 267 | 99.37 251 | 98.09 272 | 98.13 290 | 99.51 202 | 99.47 96 | 99.42 183 | 98.54 330 | 99.38 28 | 99.97 16 | 98.83 126 | 99.33 268 | 98.24 316 |
|
新几何1 | | | | | 99.52 153 | 99.50 211 | 99.22 180 | | 99.26 265 | 95.66 322 | 98.60 293 | 99.28 258 | 97.67 210 | 99.89 124 | 95.95 289 | 99.32 269 | 99.45 191 |
|
VDDNet | | | 98.97 184 | 98.82 193 | 99.42 179 | 99.71 133 | 98.81 229 | 99.62 56 | 98.68 301 | 99.81 28 | 99.38 201 | 99.80 63 | 94.25 281 | 99.85 194 | 98.79 129 | 99.32 269 | 99.59 135 |
|
VNet | | | 99.18 147 | 99.06 148 | 99.56 143 | 99.24 282 | 99.36 147 | 99.33 108 | 99.31 255 | 99.67 58 | 99.47 174 | 99.57 192 | 96.48 254 | 99.84 210 | 99.15 92 | 99.30 271 | 99.47 185 |
|
PatchMatch-RL | | | 98.68 218 | 98.47 218 | 99.30 211 | 99.44 236 | 99.28 163 | 98.14 289 | 99.54 185 | 97.12 292 | 99.11 243 | 99.25 264 | 97.80 200 | 99.70 296 | 96.51 265 | 99.30 271 | 98.93 283 |
|
Effi-MVS+-dtu | | | 99.07 165 | 98.92 178 | 99.52 153 | 98.89 316 | 99.78 35 | 99.15 167 | 99.66 123 | 99.34 116 | 98.92 265 | 99.24 269 | 97.69 207 | 99.98 7 | 98.11 176 | 99.28 273 | 98.81 292 |
|
testdata | | | | | 99.42 179 | 99.51 206 | 98.93 217 | | 99.30 258 | 96.20 310 | 98.87 270 | 99.40 231 | 98.33 165 | 99.89 124 | 96.29 272 | 99.28 273 | 99.44 196 |
|
OpenMVS_ROB | | 97.31 17 | 97.36 279 | 96.84 289 | 98.89 258 | 99.29 275 | 99.45 115 | 98.87 217 | 99.48 210 | 86.54 350 | 99.44 177 | 99.74 94 | 97.34 228 | 99.86 178 | 91.61 334 | 99.28 273 | 97.37 341 |
|
NCCC | | | 98.82 206 | 98.57 213 | 99.58 131 | 99.21 285 | 99.31 157 | 98.61 242 | 99.25 268 | 98.65 200 | 98.43 304 | 99.26 262 | 97.86 196 | 99.81 253 | 96.55 263 | 99.27 276 | 99.61 118 |
|
testgi | | | 99.29 116 | 99.26 112 | 99.37 196 | 99.75 111 | 98.81 229 | 98.84 222 | 99.89 15 | 98.38 222 | 99.75 90 | 99.04 298 | 99.36 33 | 99.86 178 | 99.08 102 | 99.25 277 | 99.45 191 |
|
PLC | | 97.35 16 | 98.36 245 | 97.99 254 | 99.48 163 | 99.32 269 | 99.24 176 | 98.50 258 | 99.51 202 | 95.19 328 | 98.58 295 | 98.96 307 | 96.95 245 | 99.83 226 | 95.63 303 | 99.25 277 | 99.37 216 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
Fast-Effi-MVS+-dtu | | | 99.20 142 | 99.12 130 | 99.43 177 | 99.25 280 | 99.69 63 | 99.05 189 | 99.82 48 | 99.50 90 | 98.97 255 | 99.05 295 | 98.98 74 | 99.98 7 | 98.20 167 | 99.24 279 | 98.62 297 |
|
PMMVS | | | 98.49 233 | 98.29 236 | 99.11 235 | 98.96 309 | 98.42 246 | 97.54 327 | 99.32 251 | 97.53 278 | 98.47 303 | 98.15 337 | 97.88 195 | 99.82 234 | 97.46 215 | 99.24 279 | 99.09 266 |
|
EPMVS | | | 96.53 307 | 96.32 305 | 97.17 324 | 98.18 346 | 92.97 339 | 99.39 86 | 89.95 357 | 98.21 240 | 98.61 292 | 99.59 183 | 86.69 338 | 99.72 290 | 96.99 241 | 99.23 281 | 98.81 292 |
|
testus | | | 98.15 258 | 98.06 251 | 98.40 286 | 99.11 300 | 95.95 313 | 96.77 342 | 99.89 15 | 95.83 316 | 99.23 227 | 98.47 333 | 97.50 219 | 99.84 210 | 96.58 262 | 99.20 282 | 99.39 209 |
|
alignmvs | | | 98.28 252 | 97.96 257 | 99.25 222 | 99.12 297 | 98.93 217 | 99.03 193 | 98.42 312 | 99.64 67 | 98.72 283 | 97.85 340 | 90.86 310 | 99.62 332 | 98.88 124 | 99.13 283 | 99.19 243 |
|
cascas | | | 96.99 293 | 96.82 291 | 97.48 316 | 97.57 352 | 95.64 324 | 96.43 346 | 99.56 178 | 91.75 343 | 97.13 343 | 97.61 348 | 95.58 271 | 98.63 353 | 96.68 257 | 99.11 284 | 98.18 321 |
|
BH-RMVSNet | | | 98.41 241 | 98.14 247 | 99.21 227 | 99.21 285 | 98.47 243 | 98.60 244 | 98.26 316 | 98.35 229 | 98.93 263 | 99.31 251 | 97.20 237 | 99.66 320 | 94.32 324 | 99.10 285 | 99.51 168 |
|
MAR-MVS | | | 98.24 253 | 97.92 260 | 99.19 230 | 98.78 329 | 99.65 75 | 99.17 159 | 99.14 280 | 95.36 324 | 98.04 322 | 98.81 318 | 97.47 220 | 99.72 290 | 95.47 308 | 99.06 286 | 98.21 318 |
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 |
GA-MVS | | | 97.99 266 | 97.68 273 | 98.93 252 | 99.52 202 | 98.04 275 | 97.19 338 | 99.05 286 | 98.32 235 | 98.81 274 | 98.97 305 | 89.89 321 | 99.41 348 | 98.33 157 | 99.05 287 | 99.34 223 |
|
EMVS | | | 96.96 294 | 97.28 278 | 95.99 338 | 98.76 331 | 91.03 350 | 95.26 350 | 98.61 303 | 99.34 116 | 98.92 265 | 98.88 315 | 93.79 283 | 99.66 320 | 92.87 331 | 99.05 287 | 97.30 342 |
|
E-PMN | | | 97.14 291 | 97.43 277 | 96.27 334 | 98.79 327 | 91.62 347 | 95.54 348 | 99.01 288 | 99.44 101 | 98.88 269 | 99.12 283 | 92.78 293 | 99.68 310 | 94.30 325 | 99.03 289 | 97.50 338 |
|
tpmrst | | | 97.73 270 | 98.07 250 | 96.73 328 | 98.71 334 | 92.00 342 | 99.10 181 | 98.86 291 | 98.52 210 | 98.92 265 | 99.54 204 | 91.90 298 | 99.82 234 | 98.02 180 | 99.03 289 | 98.37 309 |
|
PatchT | | | 98.45 237 | 98.32 235 | 98.83 263 | 98.94 310 | 98.29 259 | 99.24 140 | 98.82 294 | 99.84 23 | 99.08 245 | 99.76 88 | 91.37 303 | 99.94 55 | 98.82 128 | 99.00 291 | 98.26 314 |
|
canonicalmvs | | | 99.02 174 | 99.00 165 | 99.09 237 | 99.10 302 | 98.70 233 | 99.61 60 | 99.66 123 | 99.63 70 | 98.64 290 | 97.65 347 | 99.04 70 | 99.54 340 | 98.79 129 | 98.92 292 | 99.04 276 |
|
MDTV_nov1_ep13 | | | | 97.73 271 | | 98.70 335 | 90.83 351 | 99.15 167 | 98.02 318 | 98.51 211 | 98.82 273 | 99.61 174 | 90.98 306 | 99.66 320 | 96.89 246 | 98.92 292 | |
|
PAPM_NR | | | 98.36 245 | 98.04 252 | 99.33 203 | 99.48 222 | 98.93 217 | 98.79 232 | 99.28 262 | 97.54 277 | 98.56 297 | 98.57 328 | 97.12 239 | 99.69 302 | 94.09 328 | 98.90 294 | 99.38 212 |
|
FPMVS | | | 96.32 313 | 95.50 320 | 98.79 266 | 99.60 168 | 98.17 266 | 98.46 265 | 98.80 295 | 97.16 289 | 96.28 346 | 99.63 160 | 82.19 351 | 99.09 350 | 88.45 344 | 98.89 295 | 99.10 263 |
|
view600 | | | 96.86 297 | 96.52 300 | 97.88 302 | 99.69 142 | 95.87 319 | 99.39 86 | 97.68 326 | 99.11 152 | 98.96 257 | 97.82 342 | 87.40 325 | 99.79 261 | 89.78 338 | 98.83 296 | 97.98 329 |
|
view800 | | | 96.86 297 | 96.52 300 | 97.88 302 | 99.69 142 | 95.87 319 | 99.39 86 | 97.68 326 | 99.11 152 | 98.96 257 | 97.82 342 | 87.40 325 | 99.79 261 | 89.78 338 | 98.83 296 | 97.98 329 |
|
conf0.05thres1000 | | | 96.86 297 | 96.52 300 | 97.88 302 | 99.69 142 | 95.87 319 | 99.39 86 | 97.68 326 | 99.11 152 | 98.96 257 | 97.82 342 | 87.40 325 | 99.79 261 | 89.78 338 | 98.83 296 | 97.98 329 |
|
tfpn | | | 96.86 297 | 96.52 300 | 97.88 302 | 99.69 142 | 95.87 319 | 99.39 86 | 97.68 326 | 99.11 152 | 98.96 257 | 97.82 342 | 87.40 325 | 99.79 261 | 89.78 338 | 98.83 296 | 97.98 329 |
|
tpm cat1 | | | 96.78 302 | 96.98 285 | 96.16 337 | 98.85 321 | 90.59 354 | 99.08 186 | 99.32 251 | 92.37 342 | 97.73 337 | 99.46 223 | 91.15 304 | 99.69 302 | 96.07 279 | 98.80 300 | 98.21 318 |
|
test-LLR | | | 97.15 289 | 96.95 286 | 97.74 311 | 98.18 346 | 95.02 330 | 97.38 332 | 96.10 340 | 98.00 247 | 97.81 331 | 98.58 326 | 90.04 319 | 99.91 92 | 97.69 203 | 98.78 301 | 98.31 312 |
|
test-mter | | | 96.23 316 | 95.73 318 | 97.74 311 | 98.18 346 | 95.02 330 | 97.38 332 | 96.10 340 | 97.90 254 | 97.81 331 | 98.58 326 | 79.12 358 | 99.91 92 | 97.69 203 | 98.78 301 | 98.31 312 |
|
TESTMET0.1,1 | | | 96.24 315 | 95.84 316 | 97.41 319 | 98.24 344 | 93.84 335 | 97.38 332 | 95.84 343 | 98.43 216 | 97.81 331 | 98.56 329 | 79.77 357 | 99.89 124 | 97.77 194 | 98.77 303 | 98.52 303 |
|
CR-MVSNet | | | 98.35 248 | 98.20 242 | 98.83 263 | 99.05 306 | 98.12 268 | 99.30 121 | 99.67 119 | 97.39 283 | 99.16 237 | 99.79 70 | 91.87 300 | 99.91 92 | 98.78 132 | 98.77 303 | 98.44 307 |
|
RPMNet | | | 98.53 229 | 98.44 220 | 98.83 263 | 99.05 306 | 98.12 268 | 99.30 121 | 98.78 296 | 99.86 16 | 99.16 237 | 99.74 94 | 92.53 296 | 99.91 92 | 98.75 133 | 98.77 303 | 98.44 307 |
|
WTY-MVS | | | 98.59 224 | 98.37 230 | 99.26 219 | 99.43 238 | 98.40 247 | 98.74 235 | 99.13 282 | 98.10 244 | 99.21 231 | 99.24 269 | 94.82 276 | 99.90 109 | 97.86 189 | 98.77 303 | 99.49 180 |
|
Effi-MVS+ | | | 99.06 166 | 98.97 172 | 99.34 201 | 99.31 270 | 98.98 208 | 98.31 277 | 99.91 11 | 98.81 181 | 98.79 277 | 98.94 310 | 99.14 54 | 99.84 210 | 98.79 129 | 98.74 307 | 99.20 241 |
|
PAPR | | | 97.56 275 | 97.07 281 | 99.04 244 | 98.80 326 | 98.11 270 | 97.63 324 | 99.25 268 | 94.56 336 | 98.02 323 | 98.25 336 | 97.43 222 | 99.68 310 | 90.90 337 | 98.74 307 | 99.33 224 |
|
tpmvs | | | 97.39 277 | 97.69 272 | 96.52 332 | 98.41 341 | 91.76 345 | 99.30 121 | 98.94 290 | 97.74 263 | 97.85 330 | 99.55 202 | 92.40 297 | 99.73 289 | 96.25 274 | 98.73 309 | 98.06 323 |
|
dp | | | 96.86 297 | 97.07 281 | 96.24 336 | 98.68 336 | 90.30 355 | 99.19 151 | 98.38 314 | 97.35 285 | 98.23 312 | 99.59 183 | 87.23 329 | 99.82 234 | 96.27 273 | 98.73 309 | 98.59 299 |
|
tfpn1000 | | | 97.28 281 | 96.83 290 | 98.64 276 | 99.67 153 | 97.68 288 | 99.41 83 | 95.47 351 | 97.14 290 | 99.43 181 | 99.07 293 | 85.87 346 | 99.88 139 | 96.78 251 | 98.67 311 | 98.34 311 |
|
XVG-OURS-SEG-HR | | | 99.16 152 | 98.99 168 | 99.66 93 | 99.84 42 | 99.64 77 | 98.25 280 | 99.73 92 | 98.39 221 | 99.63 131 | 99.43 226 | 99.70 12 | 99.90 109 | 97.34 221 | 98.64 312 | 99.44 196 |
|
thres600view7 | | | 96.60 306 | 96.16 307 | 97.93 300 | 99.63 160 | 96.09 312 | 99.18 152 | 97.57 330 | 98.77 187 | 98.72 283 | 97.32 351 | 87.04 330 | 99.72 290 | 88.57 343 | 98.62 313 | 97.98 329 |
|
tfpn111 | | | 96.50 308 | 96.12 308 | 97.65 313 | 99.63 160 | 95.93 314 | 99.18 152 | 97.57 330 | 98.75 192 | 98.70 285 | 97.31 352 | 87.04 330 | 99.72 290 | 88.27 345 | 98.61 314 | 97.30 342 |
|
conf0.01 | | | 97.19 287 | 96.74 293 | 98.51 279 | 99.73 120 | 98.35 252 | 99.35 99 | 95.78 344 | 96.54 301 | 99.39 194 | 99.08 286 | 86.57 339 | 99.88 139 | 95.69 297 | 98.57 315 | 97.30 342 |
|
conf0.002 | | | 97.19 287 | 96.74 293 | 98.51 279 | 99.73 120 | 98.35 252 | 99.35 99 | 95.78 344 | 96.54 301 | 99.39 194 | 99.08 286 | 86.57 339 | 99.88 139 | 95.69 297 | 98.57 315 | 97.30 342 |
|
thresconf0.02 | | | 97.25 282 | 96.74 293 | 98.75 269 | 99.73 120 | 98.35 252 | 99.35 99 | 95.78 344 | 96.54 301 | 99.39 194 | 99.08 286 | 86.57 339 | 99.88 139 | 95.69 297 | 98.57 315 | 98.02 325 |
|
tfpn_n400 | | | 97.25 282 | 96.74 293 | 98.75 269 | 99.73 120 | 98.35 252 | 99.35 99 | 95.78 344 | 96.54 301 | 99.39 194 | 99.08 286 | 86.57 339 | 99.88 139 | 95.69 297 | 98.57 315 | 98.02 325 |
|
tfpnconf | | | 97.25 282 | 96.74 293 | 98.75 269 | 99.73 120 | 98.35 252 | 99.35 99 | 95.78 344 | 96.54 301 | 99.39 194 | 99.08 286 | 86.57 339 | 99.88 139 | 95.69 297 | 98.57 315 | 98.02 325 |
|
tfpnview11 | | | 97.25 282 | 96.74 293 | 98.75 269 | 99.73 120 | 98.35 252 | 99.35 99 | 95.78 344 | 96.54 301 | 99.39 194 | 99.08 286 | 86.57 339 | 99.88 139 | 95.69 297 | 98.57 315 | 98.02 325 |
|
thres200 | | | 96.09 318 | 95.68 319 | 97.33 321 | 99.48 222 | 96.22 309 | 98.53 255 | 97.57 330 | 98.06 246 | 98.37 306 | 96.73 359 | 86.84 336 | 99.61 336 | 86.99 351 | 98.57 315 | 96.16 350 |
|
1314 | | | 98.00 265 | 97.90 263 | 98.27 293 | 98.90 312 | 97.45 293 | 99.30 121 | 99.06 285 | 94.98 329 | 97.21 342 | 99.12 283 | 98.43 154 | 99.67 315 | 95.58 305 | 98.56 322 | 97.71 336 |
|
mvs-test1 | | | 98.83 204 | 98.70 201 | 99.22 226 | 98.89 316 | 99.65 75 | 98.88 215 | 99.66 123 | 99.34 116 | 98.29 307 | 98.94 310 | 97.69 207 | 99.96 33 | 98.11 176 | 98.54 323 | 98.04 324 |
|
conf200view11 | | | 96.43 309 | 96.03 311 | 97.63 314 | 99.63 160 | 95.93 314 | 99.18 152 | 97.57 330 | 98.75 192 | 98.70 285 | 97.31 352 | 87.04 330 | 99.67 315 | 87.62 347 | 98.51 324 | 97.30 342 |
|
thres100view900 | | | 96.39 311 | 96.03 311 | 97.47 317 | 99.63 160 | 95.93 314 | 99.18 152 | 97.57 330 | 98.75 192 | 98.70 285 | 97.31 352 | 87.04 330 | 99.67 315 | 87.62 347 | 98.51 324 | 96.81 347 |
|
tfpn200view9 | | | 96.30 314 | 95.89 313 | 97.53 315 | 99.58 174 | 96.11 310 | 99.00 198 | 97.54 335 | 98.43 216 | 98.52 298 | 96.98 357 | 86.85 334 | 99.67 315 | 87.62 347 | 98.51 324 | 96.81 347 |
|
thres400 | | | 96.40 310 | 95.89 313 | 97.92 301 | 99.58 174 | 96.11 310 | 99.00 198 | 97.54 335 | 98.43 216 | 98.52 298 | 96.98 357 | 86.85 334 | 99.67 315 | 87.62 347 | 98.51 324 | 97.98 329 |
|
tfpn_ndepth | | | 96.93 296 | 96.43 304 | 98.42 284 | 99.60 168 | 97.72 284 | 99.22 146 | 95.16 352 | 95.91 314 | 99.26 222 | 98.79 319 | 85.56 347 | 99.87 158 | 96.03 282 | 98.35 328 | 97.68 337 |
|
MVS | | | 95.72 325 | 94.63 328 | 98.99 247 | 98.56 338 | 97.98 281 | 99.30 121 | 98.86 291 | 72.71 353 | 97.30 340 | 99.08 286 | 98.34 163 | 99.74 287 | 89.21 342 | 98.33 329 | 99.26 234 |
|
BH-untuned | | | 98.22 256 | 98.09 249 | 98.58 277 | 99.38 249 | 97.24 296 | 98.55 251 | 98.98 289 | 97.81 262 | 99.20 236 | 98.76 321 | 97.01 243 | 99.65 327 | 94.83 317 | 98.33 329 | 98.86 288 |
|
test2356 | | | 95.99 321 | 95.26 324 | 98.18 294 | 96.93 354 | 95.53 326 | 95.31 349 | 98.71 300 | 95.67 321 | 98.48 302 | 97.83 341 | 80.72 354 | 99.88 139 | 95.47 308 | 98.21 331 | 99.11 259 |
|
gg-mvs-nofinetune | | | 95.87 322 | 95.17 325 | 97.97 299 | 98.19 345 | 96.95 300 | 99.69 38 | 89.23 358 | 99.89 10 | 96.24 348 | 99.94 13 | 81.19 352 | 99.51 342 | 93.99 329 | 98.20 332 | 97.44 339 |
|
HY-MVS | | 98.23 9 | 98.21 257 | 97.95 258 | 98.99 247 | 99.03 308 | 98.24 260 | 99.61 60 | 98.72 299 | 96.81 298 | 98.73 282 | 99.51 212 | 94.06 282 | 99.86 178 | 96.91 244 | 98.20 332 | 98.86 288 |
|
UnsupCasMVSNet_bld | | | 98.55 228 | 98.27 237 | 99.40 187 | 99.56 194 | 99.37 144 | 97.97 311 | 99.68 116 | 97.49 279 | 99.08 245 | 99.35 246 | 95.41 273 | 99.82 234 | 97.70 198 | 98.19 334 | 99.01 279 |
|
tpm2 | | | 96.35 312 | 96.22 306 | 96.73 328 | 98.88 319 | 91.75 346 | 99.21 149 | 98.51 307 | 93.27 341 | 97.89 327 | 99.21 274 | 84.83 348 | 99.70 296 | 96.04 281 | 98.18 335 | 98.75 295 |
|
tmp_tt | | | 95.75 324 | 95.42 321 | 96.76 326 | 89.90 357 | 94.42 333 | 98.86 218 | 97.87 324 | 78.01 351 | 99.30 219 | 99.69 124 | 97.70 205 | 95.89 355 | 99.29 74 | 98.14 336 | 99.95 1 |
|
CostFormer | | | 96.71 304 | 96.79 292 | 96.46 333 | 98.90 312 | 90.71 352 | 99.41 83 | 98.68 301 | 94.69 335 | 98.14 318 | 99.34 248 | 86.32 345 | 99.80 258 | 97.60 208 | 98.07 337 | 98.88 286 |
|
PatchFormer-LS_test | | | 96.95 295 | 97.07 281 | 96.62 331 | 98.76 331 | 91.85 344 | 99.18 152 | 98.45 311 | 97.29 287 | 97.73 337 | 97.22 356 | 88.77 323 | 99.76 277 | 98.13 175 | 98.04 338 | 98.25 315 |
|
tpmp4_e23 | | | 96.11 317 | 96.06 310 | 96.27 334 | 98.90 312 | 90.70 353 | 99.34 106 | 99.03 287 | 93.72 339 | 96.56 345 | 99.31 251 | 83.63 349 | 99.75 283 | 96.06 280 | 98.02 339 | 98.35 310 |
|
DWT-MVSNet_test | | | 96.03 320 | 95.80 317 | 96.71 330 | 98.50 340 | 91.93 343 | 99.25 138 | 97.87 324 | 95.99 313 | 96.81 344 | 97.61 348 | 81.02 353 | 99.66 320 | 97.20 233 | 97.98 340 | 98.54 302 |
|
DeepMVS_CX | | | | | 97.98 298 | 99.69 142 | 96.95 300 | | 99.26 265 | 75.51 352 | 95.74 351 | 98.28 335 | 96.47 255 | 99.62 332 | 91.23 336 | 97.89 341 | 97.38 340 |
|
PAPM | | | 95.61 326 | 94.71 327 | 98.31 291 | 99.12 297 | 96.63 303 | 96.66 345 | 98.46 310 | 90.77 346 | 96.25 347 | 98.68 325 | 93.01 291 | 99.69 302 | 81.60 353 | 97.86 342 | 98.62 297 |
|
PNet_i23d | | | 97.02 292 | 97.87 265 | 94.49 339 | 99.69 142 | 84.81 358 | 95.18 351 | 99.85 29 | 97.83 261 | 99.32 213 | 99.57 192 | 95.53 272 | 99.47 344 | 96.09 277 | 97.74 343 | 99.18 246 |
|
JIA-IIPM | | | 98.06 263 | 97.92 260 | 98.50 282 | 98.59 337 | 97.02 299 | 98.80 229 | 98.51 307 | 99.88 12 | 97.89 327 | 99.87 37 | 91.89 299 | 99.90 109 | 98.16 174 | 97.68 344 | 98.59 299 |
|
TR-MVS | | | 97.44 276 | 97.15 280 | 98.32 290 | 98.53 339 | 97.46 292 | 98.47 261 | 97.91 323 | 96.85 296 | 98.21 313 | 98.51 331 | 96.42 257 | 99.51 342 | 92.16 333 | 97.29 345 | 97.98 329 |
|
BH-w/o | | | 97.20 286 | 97.01 284 | 97.76 309 | 99.08 303 | 95.69 323 | 98.03 302 | 98.52 306 | 95.76 319 | 97.96 324 | 98.02 338 | 95.62 270 | 99.47 344 | 92.82 332 | 97.25 346 | 98.12 322 |
|
testpf | | | 94.48 328 | 95.31 322 | 91.99 341 | 97.22 353 | 89.64 356 | 98.86 218 | 96.52 339 | 94.36 337 | 96.09 349 | 98.76 321 | 82.21 350 | 98.73 352 | 97.05 239 | 96.74 347 | 87.60 352 |
|
UnsupCasMVSNet_eth | | | 98.83 204 | 98.57 213 | 99.59 127 | 99.68 149 | 99.45 115 | 98.99 201 | 99.67 119 | 99.48 92 | 99.55 159 | 99.36 241 | 94.92 274 | 99.86 178 | 98.95 119 | 96.57 348 | 99.45 191 |
|
GG-mvs-BLEND | | | | | 97.36 320 | 97.59 350 | 96.87 302 | 99.70 29 | 88.49 359 | | 94.64 353 | 97.26 355 | 80.66 355 | 99.12 349 | 91.50 335 | 96.50 349 | 96.08 351 |
|
tpm | | | 97.15 289 | 96.95 286 | 97.75 310 | 98.91 311 | 94.24 334 | 99.32 111 | 97.96 320 | 97.71 265 | 98.29 307 | 99.32 249 | 86.72 337 | 99.92 83 | 98.10 178 | 96.24 350 | 99.09 266 |
|
test0.0.03 1 | | | 97.37 278 | 96.91 288 | 98.74 273 | 97.72 349 | 97.57 290 | 97.60 325 | 97.36 337 | 98.00 247 | 99.21 231 | 98.02 338 | 90.04 319 | 99.79 261 | 98.37 153 | 95.89 351 | 98.86 288 |
|
IB-MVS | | 95.41 20 | 95.30 327 | 94.46 329 | 97.84 307 | 98.76 331 | 95.33 328 | 97.33 335 | 96.07 342 | 96.02 312 | 95.37 352 | 97.41 350 | 76.17 359 | 99.96 33 | 97.54 211 | 95.44 352 | 98.22 317 |
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 |
PVSNet_0 | | 95.53 19 | 95.85 323 | 95.31 322 | 97.47 317 | 98.78 329 | 93.48 337 | 95.72 347 | 99.40 234 | 96.18 311 | 97.37 339 | 97.73 346 | 95.73 268 | 99.58 338 | 95.49 306 | 81.40 353 | 99.36 219 |
|
.test1245 | | | 85.84 329 | 89.27 330 | 75.54 342 | 99.65 156 | 97.72 284 | 98.35 272 | 99.80 60 | 99.40 109 | 99.66 120 | 99.43 226 | 75.10 360 | 99.87 158 | 98.98 110 | 33.07 354 | 29.03 355 |
|
testmvs | | | 28.94 332 | 33.33 332 | 15.79 345 | 26.03 358 | 9.81 360 | 96.77 342 | 15.67 360 | 11.55 355 | 23.87 356 | 50.74 363 | 19.03 363 | 8.53 358 | 23.21 355 | 33.07 354 | 29.03 355 |
|
test123 | | | 29.31 331 | 33.05 334 | 18.08 344 | 25.93 359 | 12.24 359 | 97.53 329 | 10.93 361 | 11.78 354 | 24.21 355 | 50.08 364 | 21.04 362 | 8.60 357 | 23.51 354 | 32.43 356 | 33.39 354 |
|
cdsmvs_eth3d_5k | | | 24.88 333 | 33.17 333 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 99.62 143 | 0.00 356 | 0.00 357 | 99.13 279 | 99.82 6 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
pcd_1.5k_mvsjas | | | 16.61 334 | 22.14 335 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 100.00 1 | 99.28 39 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
sosnet-low-res | | | 8.33 335 | 11.11 336 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 100.00 1 | 0.00 364 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
sosnet | | | 8.33 335 | 11.11 336 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 100.00 1 | 0.00 364 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
uncertanet | | | 8.33 335 | 11.11 336 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 100.00 1 | 0.00 364 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
Regformer | | | 8.33 335 | 11.11 336 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 100.00 1 | 0.00 364 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
ab-mvs-re | | | 8.26 340 | 11.02 341 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 99.16 277 | 0.00 364 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
uanet | | | 8.33 335 | 11.11 336 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 100.00 1 | 0.00 364 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
GSMVS | | | | | | | | | | | | | | | | | 99.14 254 |
|
test_part3 | | | | | | | | 98.74 235 | | 97.71 265 | | 99.57 192 | | 99.90 109 | 94.47 322 | | |
|
test_part2 | | | | | | 99.62 165 | 99.67 68 | | | | 99.55 159 | | | | | | |
|
sam_mvs1 | | | | | | | | | | | | | 90.81 311 | | | | 99.14 254 |
|
sam_mvs | | | | | | | | | | | | | 90.52 315 | | | | |
|
MTGPA | | | | | | | | | 99.53 190 | | | | | | | | |
|
test_post1 | | | | | | | | 99.14 172 | | | | 51.63 362 | 89.54 322 | 99.82 234 | 96.86 247 | | |
|
test_post | | | | | | | | | | | | 52.41 361 | 90.25 317 | 99.86 178 | | | |
|
patchmatchnet-post | | | | | | | | | | | | 99.62 167 | 90.58 313 | 99.94 55 | | | |
|
MTMP | | | | | | | | | 98.59 305 | | | | | | | | |
|
gm-plane-assit | | | | | | 97.59 350 | 89.02 357 | | | 93.47 340 | | 98.30 334 | | 99.84 210 | 96.38 269 | | |
|
TEST9 | | | | | | 99.35 254 | 99.35 151 | 98.11 293 | 99.41 228 | 94.83 334 | 97.92 325 | 98.99 299 | 98.02 185 | 99.85 194 | | | |
|
test_8 | | | | | | 99.34 264 | 99.31 157 | 98.08 298 | 99.40 234 | 94.90 330 | 97.87 329 | 98.97 305 | 98.02 185 | 99.84 210 | | | |
|
agg_prior | | | | | | 99.35 254 | 99.36 147 | | 99.39 237 | | 97.76 335 | | | 99.85 194 | | | |
|
test_prior4 | | | | | | | 99.19 188 | 98.00 305 | | | | | | | | | |
|
test_prior | | | | | 99.46 168 | 99.35 254 | 99.22 180 | | 99.39 237 | | | | | 99.69 302 | | | 99.48 181 |
|
旧先验2 | | | | | | | | 97.94 314 | | 95.33 325 | 98.94 262 | | | 99.88 139 | 96.75 253 | | |
|
新几何2 | | | | | | | | 98.04 301 | | | | | | | | | |
|
无先验 | | | | | | | | 98.01 303 | 99.23 272 | 95.83 316 | | | | 99.85 194 | 95.79 294 | | 99.44 196 |
|
原ACMM2 | | | | | | | | 97.92 316 | | | | | | | | | |
|
testdata2 | | | | | | | | | | | | | | 99.89 124 | 95.99 285 | | |
|
segment_acmp | | | | | | | | | | | | | 98.37 161 | | | | |
|
testdata1 | | | | | | | | 97.72 323 | | 97.86 259 | | | | | | | |
|
plane_prior7 | | | | | | 99.58 174 | 99.38 141 | | | | | | | | | | |
|
plane_prior6 | | | | | | 99.47 227 | 99.26 169 | | | | | | 97.24 231 | | | | |
|
plane_prior4 | | | | | | | | | | | | 99.25 264 | | | | | |
|
plane_prior3 | | | | | | | 99.31 157 | | | 98.36 224 | 99.14 240 | | | | | | |
|
plane_prior2 | | | | | | | | 98.80 229 | | 98.94 166 | | | | | | | |
|
plane_prior1 | | | | | | 99.51 206 | | | | | | | | | | | |
|
n2 | | | | | | | | | 0.00 362 | | | | | | | | |
|
nn | | | | | | | | | 0.00 362 | | | | | | | | |
|
door-mid | | | | | | | | | 99.83 40 | | | | | | | | |
|
test11 | | | | | | | | | 99.29 259 | | | | | | | | |
|
door | | | | | | | | | 99.77 73 | | | | | | | | |
|
HQP5-MVS | | | | | | | 98.94 213 | | | | | | | | | | |
|
HQP-NCC | | | | | | 99.31 270 | | 97.98 308 | | 97.45 280 | 98.15 314 | | | | | | |
|
ACMP_Plane | | | | | | 99.31 270 | | 97.98 308 | | 97.45 280 | 98.15 314 | | | | | | |
|
BP-MVS | | | | | | | | | | | | | | | 94.73 318 | | |
|
HQP4-MVS | | | | | | | | | | | 98.15 314 | | | 99.70 296 | | | 99.53 157 |
|
HQP2-MVS | | | | | | | | | | | | | 96.67 249 | | | | |
|
NP-MVS | | | | | | 99.40 245 | 99.13 193 | | | | | 98.83 316 | | | | | |
|
MDTV_nov1_ep13_2view | | | | | | | 91.44 349 | 99.14 172 | | 97.37 284 | 99.21 231 | | 91.78 302 | | 96.75 253 | | 99.03 277 |
|
Test By Simon | | | | | | | | | | | | | 98.41 156 | | | | |
|