LCM-MVSNet | | | 99.93 1 | 99.92 1 | 99.94 1 | 99.99 1 | 99.97 1 | 99.90 1 | 99.89 2 | 99.98 1 | 99.99 1 | 99.96 1 | 99.77 1 | 100.00 1 | 99.81 3 | 100.00 1 | 99.85 9 |
|
Anonymous20231211 | | | 99.71 2 | 99.70 3 | 99.74 2 | 99.97 2 | 99.52 2 | 99.74 4 | 99.82 4 | 99.73 6 | 99.91 4 | 99.89 2 | 99.27 9 | 99.94 20 | 99.02 49 | 99.94 33 | 99.75 21 |
|
UA-Net | | | 99.47 13 | 99.40 17 | 99.70 3 | 99.49 92 | 99.29 13 | 99.80 3 | 99.72 11 | 99.82 2 | 99.04 118 | 99.81 4 | 98.05 64 | 99.96 8 | 98.85 56 | 99.99 11 | 99.86 8 |
|
DTE-MVSNet | | | 99.43 18 | 99.35 22 | 99.66 4 | 99.71 34 | 99.30 12 | 99.31 20 | 99.51 64 | 99.64 10 | 99.56 33 | 99.46 52 | 98.23 50 | 99.97 3 | 98.78 59 | 99.93 39 | 99.72 24 |
|
WR-MVS_H | | | 99.33 27 | 99.22 36 | 99.65 5 | 99.71 34 | 99.24 20 | 99.32 17 | 99.55 54 | 99.46 28 | 99.50 44 | 99.34 70 | 97.30 110 | 99.93 26 | 98.90 53 | 99.93 39 | 99.77 16 |
|
anonymousdsp | | | 99.51 12 | 99.47 15 | 99.62 6 | 99.88 8 | 99.08 47 | 99.34 15 | 99.69 15 | 98.93 83 | 99.65 23 | 99.72 11 | 98.93 20 | 99.95 13 | 99.11 44 | 100.00 1 | 99.82 10 |
|
PS-CasMVS | | | 99.40 21 | 99.33 26 | 99.62 6 | 99.71 34 | 99.10 43 | 99.29 25 | 99.53 59 | 99.53 24 | 99.46 50 | 99.41 61 | 98.23 50 | 99.95 13 | 98.89 55 | 99.95 30 | 99.81 12 |
|
PEN-MVS | | | 99.41 20 | 99.34 24 | 99.62 6 | 99.73 28 | 99.14 35 | 99.29 25 | 99.54 58 | 99.62 16 | 99.56 33 | 99.42 59 | 98.16 57 | 99.96 8 | 98.78 59 | 99.93 39 | 99.77 16 |
|
zzz-MVS | | | 98.79 69 | 98.52 96 | 99.61 9 | 99.67 44 | 99.36 7 | 97.33 212 | 99.20 164 | 98.83 87 | 98.89 141 | 98.90 151 | 96.98 135 | 99.92 34 | 97.16 135 | 99.70 131 | 99.56 75 |
|
MTAPA | | | 98.88 61 | 98.64 84 | 99.61 9 | 99.67 44 | 99.36 7 | 98.43 111 | 99.20 164 | 98.83 87 | 98.89 141 | 98.90 151 | 96.98 135 | 99.92 34 | 97.16 135 | 99.70 131 | 99.56 75 |
|
abl_6 | | | 98.99 49 | 98.78 60 | 99.61 9 | 99.45 106 | 99.46 4 | 98.60 83 | 99.50 65 | 98.59 99 | 99.24 90 | 99.04 125 | 98.54 37 | 99.89 56 | 96.45 184 | 99.62 158 | 99.50 104 |
|
MP-MVS-pluss | | | 98.57 108 | 98.23 134 | 99.60 12 | 99.69 42 | 99.35 9 | 97.16 229 | 99.38 103 | 94.87 272 | 98.97 129 | 98.99 134 | 98.01 66 | 99.88 63 | 97.29 130 | 99.70 131 | 99.58 65 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
pmmvs6 | | | 99.67 3 | 99.70 3 | 99.60 12 | 99.90 5 | 99.27 16 | 99.53 9 | 99.76 7 | 99.64 10 | 99.84 9 | 99.83 3 | 99.50 5 | 99.87 72 | 99.36 28 | 99.92 49 | 99.64 40 |
|
APDe-MVS | | | 98.99 49 | 98.79 59 | 99.60 12 | 99.21 150 | 99.15 34 | 98.87 69 | 99.48 74 | 97.57 160 | 99.35 68 | 99.24 82 | 97.83 76 | 99.89 56 | 97.88 102 | 99.70 131 | 99.75 21 |
|
HPM-MVS | | | 98.79 69 | 98.53 95 | 99.59 15 | 99.65 47 | 99.29 13 | 99.16 42 | 99.43 93 | 96.74 214 | 98.61 173 | 98.38 226 | 98.62 30 | 99.87 72 | 96.47 182 | 99.67 149 | 99.59 58 |
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
ACMMP_Plus | | | 98.75 75 | 98.48 103 | 99.57 16 | 99.58 57 | 99.29 13 | 97.82 169 | 99.25 153 | 96.94 206 | 98.78 156 | 99.12 106 | 98.02 65 | 99.84 103 | 97.13 139 | 99.67 149 | 99.59 58 |
|
HPM-MVS_fast | | | 99.01 47 | 98.82 56 | 99.57 16 | 99.71 34 | 99.35 9 | 99.00 59 | 99.50 65 | 97.33 183 | 98.94 136 | 98.86 160 | 98.75 25 | 99.82 130 | 97.53 119 | 99.71 128 | 99.56 75 |
|
CP-MVSNet | | | 99.21 32 | 99.09 45 | 99.56 18 | 99.65 47 | 98.96 54 | 99.13 46 | 99.34 121 | 99.42 31 | 99.33 72 | 99.26 79 | 97.01 133 | 99.94 20 | 98.74 63 | 99.93 39 | 99.79 14 |
|
LTVRE_ROB | | 98.40 1 | 99.67 3 | 99.71 2 | 99.56 18 | 99.85 18 | 99.11 42 | 99.90 1 | 99.78 5 | 99.63 12 | 99.78 10 | 99.67 21 | 99.48 6 | 99.81 143 | 99.30 31 | 99.97 23 | 99.77 16 |
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 |
v52 | | | 99.59 6 | 99.60 8 | 99.55 20 | 99.87 12 | 99.00 48 | 99.59 7 | 99.56 49 | 99.56 22 | 99.68 20 | 99.72 11 | 98.57 34 | 99.93 26 | 99.85 1 | 99.99 11 | 99.72 24 |
|
V4 | | | 99.59 6 | 99.60 8 | 99.55 20 | 99.87 12 | 99.00 48 | 99.59 7 | 99.56 49 | 99.56 22 | 99.68 20 | 99.72 11 | 98.57 34 | 99.93 26 | 99.85 1 | 99.99 11 | 99.72 24 |
|
PGM-MVS | | | 98.66 93 | 98.37 122 | 99.55 20 | 99.53 79 | 99.18 26 | 98.23 120 | 99.49 71 | 97.01 204 | 98.69 163 | 98.88 157 | 98.00 67 | 99.89 56 | 95.87 211 | 99.59 165 | 99.58 65 |
|
MIMVSNet1 | | | 99.38 23 | 99.32 27 | 99.55 20 | 99.86 16 | 99.19 25 | 99.41 12 | 99.59 34 | 99.59 19 | 99.71 14 | 99.57 39 | 97.12 125 | 99.90 47 | 99.21 38 | 99.87 68 | 99.54 86 |
|
TDRefinement | | | 99.42 19 | 99.38 19 | 99.55 20 | 99.76 26 | 99.33 11 | 99.68 5 | 99.71 12 | 99.38 35 | 99.53 37 | 99.61 30 | 98.64 29 | 99.80 155 | 98.24 85 | 99.84 73 | 99.52 97 |
|
HSP-MVS | | | 98.34 136 | 97.94 163 | 99.54 25 | 99.57 62 | 99.25 19 | 98.57 86 | 98.84 237 | 97.55 163 | 99.31 79 | 97.71 268 | 94.61 234 | 99.88 63 | 96.14 200 | 99.19 234 | 99.48 117 |
|
nrg030 | | | 99.40 21 | 99.35 22 | 99.54 25 | 99.58 57 | 99.13 38 | 98.98 62 | 99.48 74 | 99.68 7 | 99.46 50 | 99.26 79 | 98.62 30 | 99.73 220 | 99.17 43 | 99.92 49 | 99.76 19 |
|
region2R | | | 98.69 87 | 98.40 117 | 99.54 25 | 99.53 79 | 99.17 27 | 98.52 91 | 99.31 131 | 97.46 174 | 98.44 187 | 98.51 216 | 97.83 76 | 99.88 63 | 96.46 183 | 99.58 171 | 99.58 65 |
|
ACMMPR | | | 98.70 82 | 98.42 115 | 99.54 25 | 99.52 81 | 99.14 35 | 98.52 91 | 99.31 131 | 97.47 169 | 98.56 180 | 98.54 214 | 97.75 81 | 99.88 63 | 96.57 173 | 99.59 165 | 99.58 65 |
|
MP-MVS | | | 98.46 126 | 98.09 151 | 99.54 25 | 99.57 62 | 99.22 21 | 98.50 96 | 99.19 170 | 97.61 156 | 97.58 245 | 98.66 191 | 97.40 105 | 99.88 63 | 94.72 239 | 99.60 164 | 99.54 86 |
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
mPP-MVS | | | 98.64 96 | 98.34 126 | 99.54 25 | 99.54 77 | 99.17 27 | 98.63 80 | 99.24 157 | 97.47 169 | 98.09 203 | 98.68 187 | 97.62 89 | 99.89 56 | 96.22 193 | 99.62 158 | 99.57 70 |
|
SteuartSystems-ACMMP | | | 98.79 69 | 98.54 94 | 99.54 25 | 99.73 28 | 99.16 29 | 98.23 120 | 99.31 131 | 97.92 130 | 98.90 139 | 98.90 151 | 98.00 67 | 99.88 63 | 96.15 199 | 99.72 124 | 99.58 65 |
Skip Steuart: Steuart Systems R&D Blog. |
SMA-MVS | | | 98.47 124 | 98.11 148 | 99.53 32 | 99.16 167 | 99.27 16 | 98.05 140 | 99.30 138 | 94.34 285 | 99.22 94 | 99.10 109 | 97.72 82 | 99.79 175 | 96.45 184 | 99.68 143 | 99.53 91 |
|
XVS | | | 98.72 79 | 98.45 110 | 99.53 32 | 99.46 103 | 99.21 22 | 98.65 78 | 99.34 121 | 98.62 97 | 97.54 249 | 98.63 200 | 97.50 96 | 99.83 118 | 96.79 155 | 99.53 189 | 99.56 75 |
|
X-MVStestdata | | | 94.32 298 | 92.59 315 | 99.53 32 | 99.46 103 | 99.21 22 | 98.65 78 | 99.34 121 | 98.62 97 | 97.54 249 | 45.85 355 | 97.50 96 | 99.83 118 | 96.79 155 | 99.53 189 | 99.56 75 |
|
APD-MVS_3200maxsize | | | 98.84 65 | 98.61 89 | 99.53 32 | 99.19 160 | 99.27 16 | 98.49 97 | 99.33 126 | 98.64 95 | 99.03 121 | 98.98 137 | 97.89 74 | 99.85 88 | 96.54 178 | 99.42 202 | 99.46 129 |
|
test_djsdf | | | 99.52 11 | 99.51 11 | 99.53 32 | 99.86 16 | 98.74 61 | 99.39 13 | 99.56 49 | 99.11 61 | 99.70 15 | 99.73 10 | 99.00 17 | 99.97 3 | 99.26 32 | 99.98 19 | 99.89 3 |
|
OurMVSNet-221017-0 | | | 99.37 24 | 99.31 28 | 99.53 32 | 99.91 4 | 98.98 50 | 99.63 6 | 99.58 36 | 99.44 30 | 99.78 10 | 99.76 6 | 96.39 173 | 99.92 34 | 99.44 26 | 99.92 49 | 99.68 30 |
|
CP-MVS | | | 98.70 82 | 98.42 115 | 99.52 38 | 99.36 121 | 99.12 40 | 98.72 77 | 99.36 111 | 97.54 164 | 98.30 195 | 98.40 225 | 97.86 75 | 99.89 56 | 96.53 179 | 99.72 124 | 99.56 75 |
|
ACMMP | | | 98.75 75 | 98.50 99 | 99.52 38 | 99.56 69 | 99.16 29 | 98.87 69 | 99.37 107 | 97.16 200 | 98.82 153 | 99.01 131 | 97.71 83 | 99.87 72 | 96.29 191 | 99.69 138 | 99.54 86 |
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 |
HFP-MVS | | | 98.71 80 | 98.44 112 | 99.51 40 | 99.49 92 | 99.16 29 | 98.52 91 | 99.31 131 | 97.47 169 | 98.58 178 | 98.50 219 | 97.97 71 | 99.85 88 | 96.57 173 | 99.59 165 | 99.53 91 |
|
#test# | | | 98.50 121 | 98.16 142 | 99.51 40 | 99.49 92 | 99.16 29 | 98.03 142 | 99.31 131 | 96.30 234 | 98.58 178 | 98.50 219 | 97.97 71 | 99.85 88 | 95.68 221 | 99.59 165 | 99.53 91 |
|
ESAPD | | | 98.25 148 | 97.83 171 | 99.50 42 | 99.36 121 | 99.10 43 | 97.25 217 | 99.28 142 | 96.66 220 | 99.05 115 | 98.71 182 | 97.56 91 | 99.86 77 | 93.00 282 | 99.57 175 | 99.53 91 |
|
wuykxyi23d | | | 99.36 25 | 99.31 28 | 99.50 42 | 99.81 21 | 98.67 68 | 98.08 134 | 99.75 8 | 98.03 126 | 99.90 5 | 99.60 34 | 99.18 12 | 99.94 20 | 99.46 25 | 99.98 19 | 99.89 3 |
|
mvs_tets | | | 99.63 5 | 99.67 5 | 99.49 44 | 99.88 8 | 98.61 72 | 99.34 15 | 99.71 12 | 99.27 45 | 99.90 5 | 99.74 8 | 99.68 3 | 99.97 3 | 99.55 20 | 99.99 11 | 99.88 5 |
|
jajsoiax | | | 99.58 8 | 99.61 7 | 99.48 45 | 99.87 12 | 98.61 72 | 99.28 29 | 99.66 19 | 99.09 68 | 99.89 8 | 99.68 19 | 99.53 4 | 99.97 3 | 99.50 22 | 99.99 11 | 99.87 6 |
|
HPM-MVS++ | | | 98.10 158 | 97.64 183 | 99.48 45 | 99.09 178 | 99.13 38 | 97.52 202 | 98.75 251 | 97.46 174 | 96.90 283 | 97.83 263 | 96.01 186 | 99.84 103 | 95.82 215 | 99.35 209 | 99.46 129 |
|
ACMM | | 96.08 12 | 98.91 59 | 98.73 67 | 99.48 45 | 99.55 73 | 99.14 35 | 98.07 136 | 99.37 107 | 97.62 154 | 99.04 118 | 98.96 142 | 98.84 21 | 99.79 175 | 97.43 125 | 99.65 155 | 99.49 111 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
LPG-MVS_test | | | 98.71 80 | 98.46 108 | 99.47 48 | 99.57 62 | 98.97 51 | 98.23 120 | 99.48 74 | 96.60 223 | 99.10 107 | 99.06 118 | 98.71 27 | 99.83 118 | 95.58 225 | 99.78 101 | 99.62 45 |
|
LGP-MVS_train | | | | | 99.47 48 | 99.57 62 | 98.97 51 | | 99.48 74 | 96.60 223 | 99.10 107 | 99.06 118 | 98.71 27 | 99.83 118 | 95.58 225 | 99.78 101 | 99.62 45 |
|
TranMVSNet+NR-MVSNet | | | 99.17 35 | 99.07 47 | 99.46 50 | 99.37 120 | 98.87 56 | 98.39 114 | 99.42 96 | 99.42 31 | 99.36 66 | 99.06 118 | 98.38 44 | 99.95 13 | 98.34 81 | 99.90 57 | 99.57 70 |
|
APD-MVS | | | 98.10 158 | 97.67 178 | 99.42 51 | 99.11 174 | 98.93 55 | 97.76 174 | 99.28 142 | 94.97 269 | 98.72 162 | 98.77 176 | 97.04 129 | 99.85 88 | 93.79 266 | 99.54 185 | 99.49 111 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
RPSCF | | | 98.62 103 | 98.36 123 | 99.42 51 | 99.65 47 | 99.42 5 | 98.55 89 | 99.57 43 | 97.72 149 | 98.90 139 | 99.26 79 | 96.12 182 | 99.52 296 | 95.72 218 | 99.71 128 | 99.32 177 |
|
v7n | | | 99.53 10 | 99.57 10 | 99.41 53 | 99.88 8 | 98.54 80 | 99.45 10 | 99.61 30 | 99.66 9 | 99.68 20 | 99.66 22 | 98.44 42 | 99.95 13 | 99.73 8 | 99.96 28 | 99.75 21 |
|
COLMAP_ROB | | 96.50 10 | 98.99 49 | 98.85 54 | 99.41 53 | 99.58 57 | 99.10 43 | 98.74 75 | 99.56 49 | 99.09 68 | 99.33 72 | 99.19 90 | 98.40 43 | 99.72 229 | 95.98 205 | 99.76 114 | 99.42 143 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
UniMVSNet_NR-MVSNet | | | 98.86 64 | 98.68 79 | 99.40 55 | 99.17 165 | 98.74 61 | 97.68 181 | 99.40 98 | 99.14 59 | 99.06 110 | 98.59 206 | 96.71 156 | 99.93 26 | 98.57 70 | 99.77 105 | 99.53 91 |
|
DU-MVS | | | 98.82 66 | 98.63 85 | 99.39 56 | 99.16 167 | 98.74 61 | 97.54 201 | 99.25 153 | 98.84 86 | 99.06 110 | 98.76 178 | 96.76 153 | 99.93 26 | 98.57 70 | 99.77 105 | 99.50 104 |
|
TransMVSNet (Re) | | | 99.44 15 | 99.47 15 | 99.36 57 | 99.80 22 | 98.58 75 | 99.27 31 | 99.57 43 | 99.39 33 | 99.75 12 | 99.62 28 | 99.17 14 | 99.83 118 | 99.06 47 | 99.62 158 | 99.66 33 |
|
NR-MVSNet | | | 98.95 56 | 98.82 56 | 99.36 57 | 99.16 167 | 98.72 66 | 99.22 34 | 99.20 164 | 99.10 65 | 99.72 13 | 98.76 178 | 96.38 175 | 99.86 77 | 98.00 98 | 99.82 82 | 99.50 104 |
|
Baseline_NR-MVSNet | | | 98.98 53 | 98.86 53 | 99.36 57 | 99.82 20 | 98.55 77 | 97.47 207 | 99.57 43 | 99.37 36 | 99.21 95 | 99.61 30 | 96.76 153 | 99.83 118 | 98.06 93 | 99.83 79 | 99.71 27 |
|
ACMP | | 95.32 15 | 98.41 130 | 98.09 151 | 99.36 57 | 99.51 84 | 98.79 60 | 97.68 181 | 99.38 103 | 95.76 250 | 98.81 155 | 98.82 169 | 98.36 45 | 99.82 130 | 94.75 236 | 99.77 105 | 99.48 117 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
LS3D | | | 98.63 98 | 98.38 121 | 99.36 57 | 97.25 333 | 99.38 6 | 99.12 48 | 99.32 129 | 99.21 47 | 98.44 187 | 98.88 157 | 97.31 109 | 99.80 155 | 96.58 171 | 99.34 211 | 98.92 240 |
|
Effi-MVS+-dtu | | | 98.26 146 | 97.90 167 | 99.35 62 | 98.02 305 | 99.49 3 | 98.02 149 | 99.16 183 | 98.29 118 | 97.64 240 | 97.99 256 | 96.44 171 | 99.95 13 | 96.66 167 | 98.93 262 | 98.60 270 |
|
PS-MVSNAJss | | | 99.46 14 | 99.49 12 | 99.35 62 | 99.90 5 | 98.15 101 | 99.20 35 | 99.65 20 | 99.48 25 | 99.92 3 | 99.71 14 | 98.07 61 | 99.96 8 | 99.53 21 | 100.00 1 | 99.93 1 |
|
UniMVSNet (Re) | | | 98.87 62 | 98.71 71 | 99.35 62 | 99.24 138 | 98.73 64 | 97.73 177 | 99.38 103 | 98.93 83 | 99.12 104 | 98.73 180 | 96.77 151 | 99.86 77 | 98.63 67 | 99.80 93 | 99.46 129 |
|
FC-MVSNet-test | | | 99.27 29 | 99.25 34 | 99.34 65 | 99.77 25 | 98.37 91 | 99.30 24 | 99.57 43 | 99.61 18 | 99.40 60 | 99.50 46 | 97.12 125 | 99.85 88 | 99.02 49 | 99.94 33 | 99.80 13 |
|
PHI-MVS | | | 98.29 143 | 97.95 161 | 99.34 65 | 98.44 284 | 99.16 29 | 98.12 130 | 99.38 103 | 96.01 246 | 98.06 205 | 98.43 223 | 97.80 80 | 99.67 247 | 95.69 220 | 99.58 171 | 99.20 204 |
|
v748 | | | 99.44 15 | 99.48 13 | 99.33 67 | 99.88 8 | 98.43 87 | 99.42 11 | 99.53 59 | 99.63 12 | 99.69 17 | 99.60 34 | 97.99 69 | 99.91 43 | 99.60 14 | 99.96 28 | 99.66 33 |
|
pm-mvs1 | | | 99.44 15 | 99.48 13 | 99.33 67 | 99.80 22 | 98.63 69 | 99.29 25 | 99.63 25 | 99.30 42 | 99.65 23 | 99.60 34 | 99.16 16 | 99.82 130 | 99.07 46 | 99.83 79 | 99.56 75 |
|
ACMH+ | | 96.62 9 | 99.08 42 | 99.00 49 | 99.33 67 | 99.71 34 | 98.83 57 | 98.60 83 | 99.58 36 | 99.11 61 | 99.53 37 | 99.18 92 | 98.81 23 | 99.67 247 | 96.71 164 | 99.77 105 | 99.50 104 |
|
FIs | | | 99.14 37 | 99.09 45 | 99.29 70 | 99.70 40 | 98.28 93 | 99.13 46 | 99.52 63 | 99.48 25 | 99.24 90 | 99.41 61 | 96.79 150 | 99.82 130 | 98.69 65 | 99.88 64 | 99.76 19 |
|
VPA-MVSNet | | | 99.30 28 | 99.30 31 | 99.28 71 | 99.49 92 | 98.36 92 | 99.00 59 | 99.45 85 | 99.63 12 | 99.52 39 | 99.44 57 | 98.25 48 | 99.88 63 | 99.09 45 | 99.84 73 | 99.62 45 |
|
DP-MVS | | | 98.93 57 | 98.81 58 | 99.28 71 | 99.21 150 | 98.45 86 | 98.46 109 | 99.33 126 | 99.63 12 | 99.48 46 | 99.15 102 | 97.23 120 | 99.75 206 | 97.17 134 | 99.66 154 | 99.63 44 |
|
ANet_high | | | 99.57 9 | 99.67 5 | 99.28 71 | 99.89 7 | 98.09 105 | 99.14 44 | 99.93 1 | 99.82 2 | 99.93 2 | 99.81 4 | 99.17 14 | 99.94 20 | 99.31 30 | 100.00 1 | 99.82 10 |
|
CPTT-MVS | | | 97.84 180 | 97.36 200 | 99.27 74 | 99.31 130 | 98.46 85 | 98.29 116 | 99.27 147 | 94.90 271 | 97.83 223 | 98.37 227 | 94.90 221 | 99.84 103 | 93.85 265 | 99.54 185 | 99.51 99 |
|
Vis-MVSNet | | | 99.34 26 | 99.36 21 | 99.27 74 | 99.73 28 | 98.26 94 | 99.17 41 | 99.78 5 | 99.11 61 | 99.27 82 | 99.48 50 | 98.82 22 | 99.95 13 | 98.94 52 | 99.93 39 | 99.59 58 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
ACMH | | 96.65 7 | 99.25 30 | 99.24 35 | 99.26 76 | 99.72 33 | 98.38 90 | 99.07 52 | 99.55 54 | 98.30 115 | 99.65 23 | 99.45 56 | 99.22 10 | 99.76 200 | 98.44 76 | 99.77 105 | 99.64 40 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
OPM-MVS | | | 98.56 109 | 98.32 130 | 99.25 77 | 99.41 115 | 98.73 64 | 97.13 231 | 99.18 174 | 97.10 203 | 98.75 160 | 98.92 147 | 98.18 56 | 99.65 260 | 96.68 166 | 99.56 182 | 99.37 159 |
|
3Dnovator+ | | 97.89 3 | 98.69 87 | 98.51 97 | 99.24 78 | 98.81 239 | 98.40 88 | 99.02 54 | 99.19 170 | 98.99 75 | 98.07 204 | 99.28 75 | 97.11 127 | 99.84 103 | 96.84 153 | 99.32 214 | 99.47 125 |
|
DeepPCF-MVS | | 96.93 5 | 98.32 138 | 98.01 158 | 99.23 79 | 98.39 287 | 98.97 51 | 95.03 322 | 99.18 174 | 96.88 209 | 99.33 72 | 98.78 174 | 98.16 57 | 99.28 331 | 96.74 159 | 99.62 158 | 99.44 135 |
|
XVG-ACMP-BASELINE | | | 98.56 109 | 98.34 126 | 99.22 80 | 99.54 77 | 98.59 74 | 97.71 178 | 99.46 82 | 97.25 191 | 98.98 127 | 98.99 134 | 97.54 94 | 99.84 103 | 95.88 208 | 99.74 116 | 99.23 198 |
|
CSCG | | | 98.68 90 | 98.50 99 | 99.20 81 | 99.45 106 | 98.63 69 | 98.56 87 | 99.57 43 | 97.87 142 | 98.85 147 | 98.04 254 | 97.66 84 | 99.84 103 | 96.72 161 | 99.81 89 | 99.13 218 |
|
GBi-Net | | | 98.65 94 | 98.47 105 | 99.17 82 | 98.90 219 | 98.24 95 | 99.20 35 | 99.44 88 | 98.59 99 | 98.95 132 | 99.55 41 | 94.14 243 | 99.86 77 | 97.77 107 | 99.69 138 | 99.41 145 |
|
test1 | | | 98.65 94 | 98.47 105 | 99.17 82 | 98.90 219 | 98.24 95 | 99.20 35 | 99.44 88 | 98.59 99 | 98.95 132 | 99.55 41 | 94.14 243 | 99.86 77 | 97.77 107 | 99.69 138 | 99.41 145 |
|
FMVSNet1 | | | 99.17 35 | 99.17 39 | 99.17 82 | 99.55 73 | 98.24 95 | 99.20 35 | 99.44 88 | 99.21 47 | 99.43 55 | 99.55 41 | 97.82 79 | 99.86 77 | 98.42 78 | 99.89 63 | 99.41 145 |
|
AllTest | | | 98.44 128 | 98.20 136 | 99.16 85 | 99.50 86 | 98.55 77 | 98.25 119 | 99.58 36 | 96.80 212 | 98.88 144 | 99.06 118 | 97.65 85 | 99.57 283 | 94.45 245 | 99.61 162 | 99.37 159 |
|
TestCases | | | | | 99.16 85 | 99.50 86 | 98.55 77 | | 99.58 36 | 96.80 212 | 98.88 144 | 99.06 118 | 97.65 85 | 99.57 283 | 94.45 245 | 99.61 162 | 99.37 159 |
|
SixPastTwentyTwo | | | 98.75 75 | 98.62 86 | 99.16 85 | 99.83 19 | 97.96 122 | 99.28 29 | 98.20 275 | 99.37 36 | 99.70 15 | 99.65 25 | 92.65 266 | 99.93 26 | 99.04 48 | 99.84 73 | 99.60 52 |
|
XVG-OURS-SEG-HR | | | 98.49 122 | 98.28 132 | 99.14 88 | 99.49 92 | 98.83 57 | 96.54 262 | 99.48 74 | 97.32 185 | 99.11 105 | 98.61 204 | 99.33 8 | 99.30 328 | 96.23 192 | 98.38 286 | 99.28 188 |
|
F-COLMAP | | | 97.30 213 | 96.68 232 | 99.14 88 | 99.19 160 | 98.39 89 | 97.27 216 | 99.30 138 | 92.93 300 | 96.62 293 | 98.00 255 | 95.73 201 | 99.68 241 | 92.62 292 | 98.46 285 | 99.35 170 |
|
PM-MVS | | | 98.82 66 | 98.72 70 | 99.12 90 | 99.64 50 | 98.54 80 | 97.98 153 | 99.68 16 | 97.62 154 | 99.34 71 | 99.18 92 | 97.54 94 | 99.77 195 | 97.79 105 | 99.74 116 | 99.04 225 |
|
LCM-MVSNet-Re | | | 98.64 96 | 98.48 103 | 99.11 91 | 98.85 229 | 98.51 82 | 98.49 97 | 99.83 3 | 98.37 108 | 99.69 17 | 99.46 52 | 98.21 54 | 99.92 34 | 94.13 256 | 99.30 217 | 98.91 242 |
|
XVG-OURS | | | 98.53 118 | 98.34 126 | 99.11 91 | 99.50 86 | 98.82 59 | 95.97 286 | 99.50 65 | 97.30 187 | 99.05 115 | 98.98 137 | 99.35 7 | 99.32 325 | 95.72 218 | 99.68 143 | 99.18 210 |
|
MCST-MVS | | | 98.00 165 | 97.63 184 | 99.10 93 | 99.24 138 | 98.17 100 | 96.89 243 | 98.73 254 | 95.66 251 | 97.92 210 | 97.70 269 | 97.17 123 | 99.66 255 | 96.18 197 | 99.23 226 | 99.47 125 |
|
XXY-MVS | | | 99.14 37 | 99.15 43 | 99.10 93 | 99.76 26 | 97.74 144 | 98.85 72 | 99.62 28 | 98.48 106 | 99.37 64 | 99.49 49 | 98.75 25 | 99.86 77 | 98.20 88 | 99.80 93 | 99.71 27 |
|
DeepC-MVS | | 97.60 4 | 98.97 54 | 98.93 51 | 99.10 93 | 99.35 125 | 97.98 119 | 98.01 150 | 99.46 82 | 97.56 162 | 99.54 35 | 99.50 46 | 98.97 18 | 99.84 103 | 98.06 93 | 99.92 49 | 99.49 111 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
IS-MVSNet | | | 98.19 153 | 97.90 167 | 99.08 96 | 99.57 62 | 97.97 120 | 99.31 20 | 98.32 271 | 99.01 74 | 98.98 127 | 99.03 128 | 91.59 273 | 99.79 175 | 95.49 227 | 99.80 93 | 99.48 117 |
|
train_agg | | | 97.10 226 | 96.45 244 | 99.07 97 | 98.71 249 | 98.08 108 | 95.96 290 | 99.03 205 | 91.64 315 | 95.85 313 | 97.53 277 | 96.47 169 | 99.76 200 | 93.67 268 | 99.16 237 | 99.36 165 |
|
VDD-MVS | | | 98.56 109 | 98.39 119 | 99.07 97 | 99.13 173 | 98.07 110 | 98.59 85 | 97.01 300 | 99.59 19 | 99.11 105 | 99.27 77 | 94.82 226 | 99.79 175 | 98.34 81 | 99.63 157 | 99.34 171 |
|
CDPH-MVS | | | 97.26 216 | 96.66 235 | 99.07 97 | 99.00 200 | 98.15 101 | 96.03 284 | 99.01 212 | 91.21 324 | 97.79 232 | 97.85 262 | 96.89 143 | 99.69 236 | 92.75 290 | 99.38 206 | 99.39 152 |
|
CNVR-MVS | | | 98.17 156 | 97.87 170 | 99.07 97 | 98.67 261 | 98.24 95 | 97.01 234 | 98.93 222 | 97.25 191 | 97.62 241 | 98.34 230 | 97.27 113 | 99.57 283 | 96.42 187 | 99.33 212 | 99.39 152 |
|
EPP-MVSNet | | | 98.30 140 | 98.04 157 | 99.07 97 | 99.56 69 | 97.83 133 | 99.29 25 | 98.07 279 | 99.03 72 | 98.59 176 | 99.13 105 | 92.16 270 | 99.90 47 | 96.87 151 | 99.68 143 | 99.49 111 |
|
TSAR-MVS + MP. | | | 98.63 98 | 98.49 102 | 99.06 102 | 99.64 50 | 97.90 128 | 98.51 95 | 98.94 219 | 96.96 205 | 99.24 90 | 98.89 156 | 97.83 76 | 99.81 143 | 96.88 150 | 99.49 198 | 99.48 117 |
|
NCCC | | | 97.86 175 | 97.47 194 | 99.05 103 | 98.61 269 | 98.07 110 | 96.98 235 | 98.90 228 | 97.63 153 | 97.04 275 | 97.93 260 | 95.99 190 | 99.66 255 | 95.31 228 | 98.82 265 | 99.43 140 |
|
3Dnovator | | 98.27 2 | 98.81 68 | 98.73 67 | 99.05 103 | 98.76 243 | 97.81 138 | 99.25 32 | 99.30 138 | 98.57 103 | 98.55 181 | 99.33 72 | 97.95 73 | 99.90 47 | 97.16 135 | 99.67 149 | 99.44 135 |
|
OMC-MVS | | | 97.88 173 | 97.49 190 | 99.04 105 | 98.89 223 | 98.63 69 | 96.94 237 | 99.25 153 | 95.02 267 | 98.53 183 | 98.51 216 | 97.27 113 | 99.47 307 | 93.50 275 | 99.51 192 | 99.01 229 |
|
agg_prior1 | | | 97.06 229 | 96.40 245 | 99.03 106 | 98.68 258 | 97.99 115 | 95.76 301 | 99.01 212 | 91.73 314 | 95.59 317 | 97.50 280 | 96.49 168 | 99.77 195 | 93.71 267 | 99.14 241 | 99.34 171 |
|
WR-MVS | | | 98.40 132 | 98.19 138 | 99.03 106 | 99.00 200 | 97.65 149 | 96.85 245 | 98.94 219 | 98.57 103 | 98.89 141 | 98.50 219 | 95.60 204 | 99.85 88 | 97.54 118 | 99.85 71 | 99.59 58 |
|
K. test v3 | | | 98.00 165 | 97.66 181 | 99.03 106 | 99.79 24 | 97.56 153 | 99.19 39 | 92.47 347 | 99.62 16 | 99.52 39 | 99.66 22 | 89.61 281 | 99.96 8 | 99.25 34 | 99.81 89 | 99.56 75 |
|
Regformer-2 | | | 98.60 105 | 98.46 108 | 99.02 109 | 98.85 229 | 97.71 146 | 96.91 241 | 99.09 193 | 98.98 77 | 99.01 122 | 98.64 196 | 97.37 107 | 99.84 103 | 97.75 111 | 99.57 175 | 99.52 97 |
|
VDDNet | | | 98.21 151 | 97.95 161 | 99.01 110 | 99.58 57 | 97.74 144 | 99.01 55 | 97.29 295 | 99.67 8 | 98.97 129 | 99.50 46 | 90.45 278 | 99.80 155 | 97.88 102 | 99.20 230 | 99.48 117 |
|
VPNet | | | 98.87 62 | 98.83 55 | 99.01 110 | 99.70 40 | 97.62 152 | 98.43 111 | 99.35 117 | 99.47 27 | 99.28 80 | 99.05 123 | 96.72 155 | 99.82 130 | 98.09 91 | 99.36 207 | 99.59 58 |
|
agg_prior3 | | | 96.95 236 | 96.27 249 | 99.00 112 | 98.68 258 | 97.91 126 | 95.96 290 | 99.01 212 | 90.74 327 | 95.60 316 | 97.45 285 | 96.14 180 | 99.74 215 | 93.67 268 | 99.16 237 | 99.36 165 |
|
N_pmnet | | | 97.63 190 | 97.17 208 | 98.99 113 | 99.27 134 | 97.86 131 | 95.98 285 | 93.41 339 | 95.25 264 | 99.47 49 | 98.90 151 | 95.63 203 | 99.85 88 | 96.91 147 | 99.73 119 | 99.27 189 |
|
lessismore_v0 | | | | | 98.97 114 | 99.73 28 | 97.53 155 | | 86.71 356 | | 99.37 64 | 99.52 45 | 89.93 279 | 99.92 34 | 98.99 51 | 99.72 124 | 99.44 135 |
|
HyFIR lowres test | | | 97.19 222 | 96.60 238 | 98.96 115 | 99.62 54 | 97.28 165 | 95.17 319 | 99.50 65 | 94.21 288 | 99.01 122 | 98.32 233 | 86.61 292 | 99.99 2 | 97.10 142 | 99.84 73 | 99.60 52 |
|
test_prior3 | | | 97.48 202 | 97.00 214 | 98.95 116 | 98.69 256 | 97.95 123 | 95.74 303 | 99.03 205 | 96.48 226 | 96.11 307 | 97.63 273 | 95.92 195 | 99.59 276 | 94.16 252 | 99.20 230 | 99.30 184 |
|
test_prior | | | | | 98.95 116 | 98.69 256 | 97.95 123 | | 99.03 205 | | | | | 99.59 276 | | | 99.30 184 |
|
EG-PatchMatch MVS | | | 98.99 49 | 99.01 48 | 98.94 118 | 99.50 86 | 97.47 157 | 98.04 141 | 99.59 34 | 98.15 125 | 99.40 60 | 99.36 67 | 98.58 33 | 99.76 200 | 98.78 59 | 99.68 143 | 99.59 58 |
|
test12 | | | | | 98.93 119 | 98.58 272 | 97.83 133 | | 98.66 258 | | 96.53 296 | | 95.51 208 | 99.69 236 | | 99.13 244 | 99.27 189 |
|
HQP_MVS | | | 97.99 167 | 97.67 178 | 98.93 119 | 99.19 160 | 97.65 149 | 97.77 172 | 99.27 147 | 98.20 121 | 97.79 232 | 97.98 257 | 94.90 221 | 99.70 232 | 94.42 247 | 99.51 192 | 99.45 133 |
|
test_0402 | | | 98.76 74 | 98.71 71 | 98.93 119 | 99.56 69 | 98.14 103 | 98.45 110 | 99.34 121 | 99.28 44 | 98.95 132 | 98.91 148 | 98.34 46 | 99.79 175 | 95.63 222 | 99.91 54 | 98.86 247 |
|
tfpnnormal | | | 98.90 60 | 98.90 52 | 98.91 122 | 99.67 44 | 97.82 136 | 99.00 59 | 99.44 88 | 99.45 29 | 99.51 43 | 99.24 82 | 98.20 55 | 99.86 77 | 95.92 207 | 99.69 138 | 99.04 225 |
|
æ–°å‡ ä½•1 | | | | | 98.91 122 | 98.94 209 | 97.76 141 | | 98.76 248 | 87.58 342 | 96.75 290 | 98.10 249 | 94.80 229 | 99.78 185 | 92.73 291 | 99.00 256 | 99.20 204 |
|
1121 | | | 96.73 244 | 96.00 252 | 98.91 122 | 98.95 208 | 97.76 141 | 98.07 136 | 98.73 254 | 87.65 341 | 96.54 295 | 98.13 243 | 94.52 236 | 99.73 220 | 92.38 296 | 99.02 253 | 99.24 197 |
|
mvs-test1 | | | 97.83 181 | 97.48 193 | 98.89 125 | 98.02 305 | 99.20 24 | 97.20 223 | 99.16 183 | 98.29 118 | 96.46 302 | 97.17 294 | 96.44 171 | 99.92 34 | 96.66 167 | 97.90 312 | 97.54 316 |
|
Regformer-4 | | | 98.73 78 | 98.68 79 | 98.89 125 | 99.02 197 | 97.22 168 | 97.17 227 | 99.06 196 | 99.21 47 | 99.17 101 | 98.85 162 | 97.45 101 | 99.86 77 | 98.48 75 | 99.70 131 | 99.60 52 |
|
Regformer-1 | | | 98.55 113 | 98.44 112 | 98.87 127 | 98.85 229 | 97.29 163 | 96.91 241 | 98.99 217 | 98.97 78 | 98.99 125 | 98.64 196 | 97.26 116 | 99.81 143 | 97.79 105 | 99.57 175 | 99.51 99 |
|
ITE_SJBPF | | | | | 98.87 127 | 99.22 144 | 98.48 84 | | 99.35 117 | 97.50 166 | 98.28 196 | 98.60 205 | 97.64 88 | 99.35 321 | 93.86 264 | 99.27 222 | 98.79 256 |
|
pmmvs-eth3d | | | 98.47 124 | 98.34 126 | 98.86 129 | 99.30 132 | 97.76 141 | 97.16 229 | 99.28 142 | 95.54 259 | 99.42 57 | 99.19 90 | 97.27 113 | 99.63 263 | 97.89 100 | 99.97 23 | 99.20 204 |
|
PLC | | 94.65 16 | 96.51 251 | 95.73 257 | 98.85 130 | 98.75 244 | 97.91 126 | 96.42 269 | 99.06 196 | 90.94 326 | 95.59 317 | 97.38 289 | 94.41 238 | 99.59 276 | 90.93 317 | 98.04 310 | 99.05 224 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
CMPMVS | | 75.91 23 | 96.29 256 | 95.44 265 | 98.84 131 | 96.25 348 | 98.69 67 | 97.02 233 | 99.12 189 | 88.90 337 | 97.83 223 | 98.86 160 | 89.51 282 | 98.90 345 | 91.92 298 | 99.51 192 | 98.92 240 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
MVS_111021_LR | | | 98.30 140 | 98.12 147 | 98.83 132 | 99.16 167 | 98.03 113 | 96.09 283 | 99.30 138 | 97.58 158 | 98.10 202 | 98.24 238 | 98.25 48 | 99.34 322 | 96.69 165 | 99.65 155 | 99.12 219 |
|
QAPM | | | 97.31 212 | 96.81 224 | 98.82 133 | 98.80 241 | 97.49 156 | 99.06 53 | 99.19 170 | 90.22 330 | 97.69 238 | 99.16 98 | 96.91 138 | 99.90 47 | 90.89 319 | 99.41 203 | 99.07 222 |
|
Fast-Effi-MVS+-dtu | | | 98.27 144 | 98.09 151 | 98.81 134 | 98.43 285 | 98.11 104 | 97.61 192 | 99.50 65 | 98.64 95 | 97.39 263 | 97.52 279 | 98.12 60 | 99.95 13 | 96.90 149 | 98.71 271 | 98.38 281 |
|
TAMVS | | | 98.24 150 | 98.05 156 | 98.80 135 | 99.07 182 | 97.18 171 | 97.88 162 | 98.81 243 | 96.66 220 | 99.17 101 | 99.21 87 | 94.81 228 | 99.77 195 | 96.96 146 | 99.88 64 | 99.44 135 |
|
VNet | | | 98.42 129 | 98.30 131 | 98.79 136 | 98.79 242 | 97.29 163 | 98.23 120 | 98.66 258 | 99.31 41 | 98.85 147 | 98.80 171 | 94.80 229 | 99.78 185 | 98.13 90 | 99.13 244 | 99.31 181 |
|
UGNet | | | 98.53 118 | 98.45 110 | 98.79 136 | 97.94 308 | 96.96 180 | 99.08 49 | 98.54 263 | 99.10 65 | 96.82 288 | 99.47 51 | 96.55 165 | 99.84 103 | 98.56 73 | 99.94 33 | 99.55 83 |
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 |
MAR-MVS | | | 96.47 254 | 95.70 258 | 98.79 136 | 97.92 309 | 99.12 40 | 98.28 117 | 98.60 262 | 92.16 312 | 95.54 324 | 96.17 312 | 94.77 232 | 99.52 296 | 89.62 325 | 98.23 289 | 97.72 305 |
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 |
alignmvs | | | 97.35 209 | 96.88 220 | 98.78 139 | 98.54 277 | 98.09 105 | 97.71 178 | 97.69 289 | 99.20 50 | 97.59 244 | 95.90 319 | 88.12 289 | 99.55 289 | 98.18 89 | 98.96 260 | 98.70 265 |
|
test20.03 | | | 98.78 72 | 98.77 62 | 98.78 139 | 99.46 103 | 97.20 169 | 97.78 170 | 99.24 157 | 99.04 71 | 99.41 58 | 98.90 151 | 97.65 85 | 99.76 200 | 97.70 112 | 99.79 97 | 99.39 152 |
|
v13 | | | 99.24 31 | 99.39 18 | 98.77 141 | 99.63 52 | 96.79 185 | 99.24 33 | 99.65 20 | 99.39 33 | 99.62 27 | 99.70 16 | 97.50 96 | 99.84 103 | 99.78 5 | 100.00 1 | 99.67 31 |
|
TSAR-MVS + GP. | | | 98.18 154 | 97.98 159 | 98.77 141 | 98.71 249 | 97.88 129 | 96.32 273 | 98.66 258 | 96.33 231 | 99.23 93 | 98.51 216 | 97.48 100 | 99.40 315 | 97.16 135 | 99.46 199 | 99.02 228 |
|
testing_2 | | | 98.93 57 | 98.99 50 | 98.76 143 | 99.57 62 | 97.03 177 | 97.85 166 | 99.13 187 | 98.46 107 | 99.44 54 | 99.44 57 | 98.22 52 | 99.74 215 | 98.85 56 | 99.94 33 | 99.51 99 |
|
V42 | | | 98.78 72 | 98.78 60 | 98.76 143 | 99.44 109 | 97.04 176 | 98.27 118 | 99.19 170 | 97.87 142 | 99.25 89 | 99.16 98 | 96.84 145 | 99.78 185 | 99.21 38 | 99.84 73 | 99.46 129 |
|
UnsupCasMVSNet_eth | | | 97.89 171 | 97.60 186 | 98.75 145 | 99.31 130 | 97.17 172 | 97.62 190 | 99.35 117 | 98.72 94 | 98.76 159 | 98.68 187 | 92.57 267 | 99.74 215 | 97.76 110 | 95.60 340 | 99.34 171 |
|
FMVSNet2 | | | 98.49 122 | 98.40 117 | 98.75 145 | 98.90 219 | 97.14 175 | 98.61 82 | 99.13 187 | 98.59 99 | 99.19 97 | 99.28 75 | 94.14 243 | 99.82 130 | 97.97 99 | 99.80 93 | 99.29 187 |
|
MVS_111021_HR | | | 98.25 148 | 98.08 154 | 98.75 145 | 99.09 178 | 97.46 158 | 95.97 286 | 99.27 147 | 97.60 157 | 97.99 209 | 98.25 237 | 98.15 59 | 99.38 319 | 96.87 151 | 99.57 175 | 99.42 143 |
|
DeepC-MVS_fast | | 96.85 6 | 98.30 140 | 98.15 144 | 98.75 145 | 98.61 269 | 97.23 166 | 97.76 174 | 99.09 193 | 97.31 186 | 98.75 160 | 98.66 191 | 97.56 91 | 99.64 262 | 96.10 201 | 99.55 184 | 99.39 152 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
v12 | | | 99.21 32 | 99.37 20 | 98.74 149 | 99.60 55 | 96.72 190 | 99.19 39 | 99.65 20 | 99.35 39 | 99.62 27 | 99.69 17 | 97.43 103 | 99.83 118 | 99.76 6 | 100.00 1 | 99.66 33 |
|
V9 | | | 99.18 34 | 99.34 24 | 98.70 150 | 99.58 57 | 96.63 193 | 99.14 44 | 99.64 24 | 99.30 42 | 99.61 29 | 99.68 19 | 97.33 108 | 99.83 118 | 99.75 7 | 100.00 1 | 99.65 37 |
|
114514_t | | | 96.50 253 | 95.77 256 | 98.69 151 | 99.48 97 | 97.43 160 | 97.84 167 | 99.55 54 | 81.42 351 | 96.51 298 | 98.58 207 | 95.53 206 | 99.67 247 | 93.41 277 | 99.58 171 | 98.98 232 |
|
CDS-MVSNet | | | 97.69 185 | 97.35 202 | 98.69 151 | 98.73 246 | 97.02 179 | 96.92 240 | 98.75 251 | 95.89 248 | 98.59 176 | 98.67 189 | 92.08 272 | 99.74 215 | 96.72 161 | 99.81 89 | 99.32 177 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
V14 | | | 99.14 37 | 99.30 31 | 98.66 153 | 99.56 69 | 96.53 194 | 99.08 49 | 99.63 25 | 99.24 46 | 99.60 30 | 99.66 22 | 97.23 120 | 99.82 130 | 99.73 8 | 100.00 1 | 99.65 37 |
|
TAPA-MVS | | 96.21 11 | 96.63 247 | 95.95 254 | 98.65 154 | 98.93 211 | 98.09 105 | 96.93 238 | 99.28 142 | 83.58 349 | 98.13 201 | 97.78 265 | 96.13 181 | 99.40 315 | 93.52 273 | 99.29 220 | 98.45 276 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
LFMVS | | | 97.20 221 | 96.72 228 | 98.64 155 | 98.72 247 | 96.95 181 | 98.93 66 | 94.14 337 | 99.74 5 | 98.78 156 | 99.01 131 | 84.45 308 | 99.73 220 | 97.44 124 | 99.27 222 | 99.25 194 |
|
Gipuma | | | 99.03 45 | 99.16 41 | 98.64 155 | 99.94 3 | 98.51 82 | 99.32 17 | 99.75 8 | 99.58 21 | 98.60 175 | 99.62 28 | 98.22 52 | 99.51 301 | 97.70 112 | 99.73 119 | 97.89 293 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
EI-MVSNet-Vis-set | | | 98.68 90 | 98.70 74 | 98.63 157 | 99.09 178 | 96.40 201 | 97.23 219 | 98.86 235 | 99.20 50 | 99.18 100 | 98.97 139 | 97.29 112 | 99.85 88 | 98.72 64 | 99.78 101 | 99.64 40 |
|
Regformer-3 | | | 98.61 104 | 98.61 89 | 98.63 157 | 99.02 197 | 96.53 194 | 97.17 227 | 98.84 237 | 99.13 60 | 99.10 107 | 98.85 162 | 97.24 118 | 99.79 175 | 98.41 79 | 99.70 131 | 99.57 70 |
|
Effi-MVS+ | | | 98.02 162 | 97.82 172 | 98.62 159 | 98.53 279 | 97.19 170 | 97.33 212 | 99.68 16 | 97.30 187 | 96.68 291 | 97.46 284 | 98.56 36 | 99.80 155 | 96.63 169 | 98.20 292 | 98.86 247 |
|
EI-MVSNet-UG-set | | | 98.69 87 | 98.71 71 | 98.62 159 | 99.10 175 | 96.37 203 | 97.23 219 | 98.87 231 | 99.20 50 | 99.19 97 | 98.99 134 | 97.30 110 | 99.85 88 | 98.77 62 | 99.79 97 | 99.65 37 |
|
v15 | | | 99.11 41 | 99.27 33 | 98.62 159 | 99.52 81 | 96.43 198 | 99.01 55 | 99.63 25 | 99.18 55 | 99.59 32 | 99.64 26 | 97.13 124 | 99.81 143 | 99.71 10 | 100.00 1 | 99.64 40 |
|
v17 | | | 99.07 43 | 99.22 36 | 98.61 162 | 99.50 86 | 96.42 199 | 99.01 55 | 99.60 32 | 99.15 56 | 99.48 46 | 99.61 30 | 97.05 128 | 99.81 143 | 99.64 12 | 99.98 19 | 99.61 49 |
|
v16 | | | 99.07 43 | 99.22 36 | 98.61 162 | 99.50 86 | 96.42 199 | 99.01 55 | 99.60 32 | 99.15 56 | 99.46 50 | 99.61 30 | 97.04 129 | 99.81 143 | 99.64 12 | 99.97 23 | 99.61 49 |
|
testmv | | | 98.51 120 | 98.47 105 | 98.61 162 | 99.24 138 | 96.53 194 | 96.66 256 | 99.73 10 | 98.56 105 | 99.50 44 | 99.23 86 | 97.24 118 | 99.87 72 | 96.16 198 | 99.93 39 | 99.44 135 |
|
PatchMatch-RL | | | 97.24 219 | 96.78 225 | 98.61 162 | 99.03 195 | 97.83 133 | 96.36 271 | 99.06 196 | 93.49 297 | 97.36 266 | 97.78 265 | 95.75 200 | 99.49 303 | 93.44 276 | 98.77 266 | 98.52 273 |
|
ab-mvs | | | 98.41 130 | 98.36 123 | 98.59 166 | 99.19 160 | 97.23 166 | 99.32 17 | 98.81 243 | 97.66 151 | 98.62 171 | 99.40 64 | 96.82 147 | 99.80 155 | 95.88 208 | 99.51 192 | 98.75 261 |
|
canonicalmvs | | | 98.34 136 | 98.26 133 | 98.58 167 | 98.46 282 | 97.82 136 | 98.96 63 | 99.46 82 | 99.19 54 | 97.46 255 | 95.46 329 | 98.59 32 | 99.46 309 | 98.08 92 | 98.71 271 | 98.46 275 |
|
1112_ss | | | 97.29 215 | 96.86 221 | 98.58 167 | 99.34 127 | 96.32 204 | 96.75 250 | 99.58 36 | 93.14 299 | 96.89 284 | 97.48 282 | 92.11 271 | 99.86 77 | 96.91 147 | 99.54 185 | 99.57 70 |
|
Fast-Effi-MVS+ | | | 97.67 187 | 97.38 199 | 98.57 169 | 98.71 249 | 97.43 160 | 97.23 219 | 99.45 85 | 94.82 274 | 96.13 306 | 96.51 305 | 98.52 38 | 99.91 43 | 96.19 195 | 98.83 264 | 98.37 283 |
|
MVP-Stereo | | | 98.08 160 | 97.92 165 | 98.57 169 | 98.96 206 | 96.79 185 | 97.90 161 | 99.18 174 | 96.41 229 | 98.46 185 | 98.95 143 | 95.93 194 | 99.60 272 | 96.51 180 | 98.98 259 | 99.31 181 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
v18 | | | 99.02 46 | 99.17 39 | 98.57 169 | 99.45 106 | 96.31 205 | 98.94 64 | 99.58 36 | 99.06 70 | 99.43 55 | 99.58 38 | 96.91 138 | 99.80 155 | 99.60 14 | 99.97 23 | 99.59 58 |
|
v8 | | | 99.01 47 | 99.16 41 | 98.57 169 | 99.47 99 | 96.31 205 | 98.90 67 | 99.47 80 | 99.03 72 | 99.52 39 | 99.57 39 | 96.93 137 | 99.81 143 | 99.60 14 | 99.98 19 | 99.60 52 |
|
DP-MVS Recon | | | 97.33 211 | 96.92 217 | 98.57 169 | 99.09 178 | 97.99 115 | 96.79 246 | 99.35 117 | 93.18 298 | 97.71 236 | 98.07 253 | 95.00 220 | 99.31 326 | 93.97 259 | 99.13 244 | 98.42 279 |
|
v10 | | | 98.97 54 | 99.11 44 | 98.55 174 | 99.44 109 | 96.21 211 | 98.90 67 | 99.55 54 | 98.73 93 | 99.48 46 | 99.60 34 | 96.63 159 | 99.83 118 | 99.70 11 | 99.99 11 | 99.61 49 |
|
HQP-MVS | | | 97.00 233 | 96.49 243 | 98.55 174 | 98.67 261 | 96.79 185 | 96.29 274 | 99.04 203 | 96.05 243 | 95.55 321 | 96.84 300 | 93.84 248 | 99.54 290 | 92.82 287 | 99.26 224 | 99.32 177 |
|
CNLPA | | | 97.17 223 | 96.71 230 | 98.55 174 | 98.56 274 | 98.05 112 | 96.33 272 | 98.93 222 | 96.91 208 | 97.06 274 | 97.39 288 | 94.38 239 | 99.45 311 | 91.66 301 | 99.18 236 | 98.14 287 |
|
CHOSEN 1792x2688 | | | 97.49 199 | 97.14 211 | 98.54 177 | 99.68 43 | 96.09 216 | 96.50 263 | 99.62 28 | 91.58 318 | 98.84 149 | 98.97 139 | 92.36 268 | 99.88 63 | 96.76 158 | 99.95 30 | 99.67 31 |
|
v11 | | | 99.12 40 | 99.31 28 | 98.53 178 | 99.59 56 | 96.11 213 | 99.08 49 | 99.65 20 | 99.15 56 | 99.60 30 | 99.69 17 | 97.26 116 | 99.83 118 | 99.81 3 | 100.00 1 | 99.66 33 |
|
v1neww | | | 98.70 82 | 98.76 63 | 98.52 179 | 99.47 99 | 96.30 207 | 98.03 142 | 99.18 174 | 97.92 130 | 99.26 87 | 99.08 112 | 96.91 138 | 99.78 185 | 99.19 40 | 99.82 82 | 99.47 125 |
|
v7new | | | 98.70 82 | 98.76 63 | 98.52 179 | 99.47 99 | 96.30 207 | 98.03 142 | 99.18 174 | 97.92 130 | 99.26 87 | 99.08 112 | 96.91 138 | 99.78 185 | 99.19 40 | 99.82 82 | 99.47 125 |
|
v6 | | | 98.70 82 | 98.76 63 | 98.52 179 | 99.47 99 | 96.30 207 | 98.03 142 | 99.18 174 | 97.92 130 | 99.27 82 | 99.08 112 | 96.91 138 | 99.78 185 | 99.19 40 | 99.82 82 | 99.48 117 |
|
LF4IMVS | | | 97.90 170 | 97.69 177 | 98.52 179 | 99.17 165 | 97.66 148 | 97.19 226 | 99.47 80 | 96.31 233 | 97.85 218 | 98.20 242 | 96.71 156 | 99.52 296 | 94.62 240 | 99.72 124 | 98.38 281 |
|
pmmvs4 | | | 97.58 193 | 97.28 204 | 98.51 183 | 98.84 232 | 96.93 182 | 95.40 315 | 98.52 264 | 93.60 294 | 98.61 173 | 98.65 193 | 95.10 218 | 99.60 272 | 96.97 145 | 99.79 97 | 98.99 231 |
|
v7 | | | 98.67 92 | 98.73 67 | 98.50 184 | 99.43 113 | 96.21 211 | 98.00 151 | 99.31 131 | 97.58 158 | 99.17 101 | 99.18 92 | 96.63 159 | 99.80 155 | 99.42 27 | 99.88 64 | 99.48 117 |
|
Patchmtry | | | 97.35 209 | 96.97 215 | 98.50 184 | 97.31 332 | 96.47 197 | 98.18 124 | 98.92 225 | 98.95 82 | 98.78 156 | 99.37 65 | 85.44 303 | 99.85 88 | 95.96 206 | 99.83 79 | 99.17 214 |
|
DELS-MVS | | | 98.27 144 | 98.20 136 | 98.48 186 | 98.86 226 | 96.70 191 | 95.60 308 | 99.20 164 | 97.73 148 | 98.45 186 | 98.71 182 | 97.50 96 | 99.82 130 | 98.21 87 | 99.59 165 | 98.93 239 |
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 |
CLD-MVS | | | 97.49 199 | 97.16 209 | 98.48 186 | 99.07 182 | 97.03 177 | 94.71 328 | 99.21 160 | 94.46 279 | 98.06 205 | 97.16 295 | 97.57 90 | 99.48 306 | 94.46 244 | 99.78 101 | 98.95 236 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
MVS_0304 | | | 98.02 162 | 97.88 169 | 98.46 188 | 98.22 298 | 96.39 202 | 96.50 263 | 99.49 71 | 98.03 126 | 97.24 269 | 98.33 232 | 94.80 229 | 99.90 47 | 98.31 84 | 99.95 30 | 99.08 220 |
|
AdaColmap | | | 97.14 225 | 96.71 230 | 98.46 188 | 98.34 290 | 97.80 139 | 96.95 236 | 98.93 222 | 95.58 258 | 96.92 279 | 97.66 271 | 95.87 198 | 99.53 292 | 90.97 316 | 99.14 241 | 98.04 290 |
|
v144192 | | | 98.54 116 | 98.57 93 | 98.45 190 | 99.21 150 | 95.98 218 | 97.63 189 | 99.36 111 | 97.15 202 | 99.32 77 | 99.18 92 | 95.84 199 | 99.84 103 | 99.50 22 | 99.91 54 | 99.54 86 |
|
UnsupCasMVSNet_bld | | | 97.30 213 | 96.92 217 | 98.45 190 | 99.28 133 | 96.78 189 | 96.20 280 | 99.27 147 | 95.42 262 | 98.28 196 | 98.30 234 | 93.16 257 | 99.71 230 | 94.99 232 | 97.37 320 | 98.87 246 |
|
PCF-MVS | | 92.86 18 | 94.36 296 | 93.00 314 | 98.42 192 | 98.70 253 | 97.56 153 | 93.16 344 | 99.11 191 | 79.59 352 | 97.55 248 | 97.43 286 | 92.19 269 | 99.73 220 | 79.85 352 | 99.45 200 | 97.97 292 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
v1192 | | | 98.60 105 | 98.66 82 | 98.41 193 | 99.27 134 | 95.88 224 | 97.52 202 | 99.36 111 | 97.41 177 | 99.33 72 | 99.20 89 | 96.37 176 | 99.82 130 | 99.57 18 | 99.92 49 | 99.55 83 |
|
v1144 | | | 98.60 105 | 98.66 82 | 98.41 193 | 99.36 121 | 95.90 223 | 97.58 196 | 99.34 121 | 97.51 165 | 99.27 82 | 99.15 102 | 96.34 177 | 99.80 155 | 99.47 24 | 99.93 39 | 99.51 99 |
|
v1141 | | | 98.63 98 | 98.70 74 | 98.41 193 | 99.39 117 | 95.96 220 | 97.64 186 | 99.21 160 | 97.92 130 | 99.35 68 | 99.08 112 | 96.61 162 | 99.78 185 | 99.25 34 | 99.90 57 | 99.50 104 |
|
divwei89l23v2f112 | | | 98.63 98 | 98.70 74 | 98.41 193 | 99.39 117 | 95.96 220 | 97.64 186 | 99.21 160 | 97.92 130 | 99.35 68 | 99.08 112 | 96.61 162 | 99.78 185 | 99.25 34 | 99.90 57 | 99.50 104 |
|
v1 | | | 98.63 98 | 98.70 74 | 98.41 193 | 99.39 117 | 95.96 220 | 97.64 186 | 99.20 164 | 97.92 130 | 99.36 66 | 99.07 117 | 96.63 159 | 99.78 185 | 99.25 34 | 99.90 57 | 99.50 104 |
|
FMVSNet5 | | | 96.01 261 | 95.20 272 | 98.41 193 | 97.53 323 | 96.10 214 | 98.74 75 | 99.50 65 | 97.22 199 | 98.03 208 | 99.04 125 | 69.80 354 | 99.88 63 | 97.27 131 | 99.71 128 | 99.25 194 |
|
v1921920 | | | 98.54 116 | 98.60 91 | 98.38 199 | 99.20 159 | 95.76 228 | 97.56 198 | 99.36 111 | 97.23 196 | 99.38 62 | 99.17 97 | 96.02 185 | 99.84 103 | 99.57 18 | 99.90 57 | 99.54 86 |
|
v2v482 | | | 98.56 109 | 98.62 86 | 98.37 200 | 99.42 114 | 95.81 227 | 97.58 196 | 99.16 183 | 97.90 138 | 99.28 80 | 99.01 131 | 95.98 191 | 99.79 175 | 99.33 29 | 99.90 57 | 99.51 99 |
|
原ACMM1 | | | | | 98.35 201 | 98.90 219 | 96.25 210 | | 98.83 242 | 92.48 306 | 96.07 310 | 98.10 249 | 95.39 212 | 99.71 230 | 92.61 293 | 98.99 257 | 99.08 220 |
|
Vis-MVSNet (Re-imp) | | | 97.46 203 | 97.16 209 | 98.34 202 | 99.55 73 | 96.10 214 | 98.94 64 | 98.44 267 | 98.32 114 | 98.16 198 | 98.62 202 | 88.76 286 | 99.73 220 | 93.88 263 | 99.79 97 | 99.18 210 |
|
v1240 | | | 98.55 113 | 98.62 86 | 98.32 203 | 99.22 144 | 95.58 232 | 97.51 204 | 99.45 85 | 97.16 200 | 99.45 53 | 99.24 82 | 96.12 182 | 99.85 88 | 99.60 14 | 99.88 64 | 99.55 83 |
|
OpenMVS | | 96.65 7 | 97.09 227 | 96.68 232 | 98.32 203 | 98.32 291 | 97.16 173 | 98.86 71 | 99.37 107 | 89.48 334 | 96.29 304 | 99.15 102 | 96.56 164 | 99.90 47 | 92.90 284 | 99.20 230 | 97.89 293 |
|
Test_1112_low_res | | | 96.99 234 | 96.55 241 | 98.31 205 | 99.35 125 | 95.47 237 | 95.84 300 | 99.53 59 | 91.51 320 | 96.80 289 | 98.48 222 | 91.36 274 | 99.83 118 | 96.58 171 | 99.53 189 | 99.62 45 |
|
PAPM_NR | | | 96.82 241 | 96.32 248 | 98.30 206 | 99.07 182 | 96.69 192 | 97.48 205 | 98.76 248 | 95.81 249 | 96.61 294 | 96.47 308 | 94.12 246 | 99.17 335 | 90.82 321 | 97.78 314 | 99.06 223 |
|
FMVSNet3 | | | 97.50 197 | 97.24 205 | 98.29 207 | 98.08 303 | 95.83 226 | 97.86 165 | 98.91 227 | 97.89 139 | 98.95 132 | 98.95 143 | 87.06 290 | 99.81 143 | 97.77 107 | 99.69 138 | 99.23 198 |
|
MSDG | | | 97.71 184 | 97.52 189 | 98.28 208 | 98.91 218 | 96.82 184 | 94.42 333 | 99.37 107 | 97.65 152 | 98.37 194 | 98.29 235 | 97.40 105 | 99.33 324 | 94.09 257 | 99.22 227 | 98.68 269 |
|
EPNet | | | 96.14 259 | 95.44 265 | 98.25 209 | 90.76 358 | 95.50 236 | 97.92 158 | 94.65 324 | 98.97 78 | 92.98 345 | 98.85 162 | 89.12 285 | 99.87 72 | 95.99 204 | 99.68 143 | 99.39 152 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
ambc | | | | | 98.24 210 | 98.82 237 | 95.97 219 | 98.62 81 | 99.00 216 | | 99.27 82 | 99.21 87 | 96.99 134 | 99.50 302 | 96.55 177 | 99.50 197 | 99.26 192 |
|
PVSNet_Blended_VisFu | | | 98.17 156 | 98.15 144 | 98.22 211 | 99.73 28 | 95.15 243 | 97.36 211 | 99.68 16 | 94.45 281 | 98.99 125 | 99.27 77 | 96.87 144 | 99.94 20 | 97.13 139 | 99.91 54 | 99.57 70 |
|
Anonymous20231206 | | | 98.21 151 | 98.21 135 | 98.20 212 | 99.51 84 | 95.43 238 | 98.13 128 | 99.32 129 | 96.16 240 | 98.93 137 | 98.82 169 | 96.00 187 | 99.83 118 | 97.32 129 | 99.73 119 | 99.36 165 |
|
CANet | | | 97.87 174 | 97.76 173 | 98.19 213 | 97.75 313 | 95.51 235 | 96.76 249 | 99.05 200 | 97.74 147 | 96.93 278 | 98.21 241 | 95.59 205 | 99.89 56 | 97.86 104 | 99.93 39 | 99.19 209 |
|
Test4 | | | 97.43 205 | 97.18 207 | 98.18 214 | 99.05 190 | 96.02 217 | 96.62 259 | 99.09 193 | 96.25 235 | 98.63 170 | 97.70 269 | 90.49 277 | 99.68 241 | 97.50 121 | 99.30 217 | 98.83 249 |
|
testgi | | | 98.32 138 | 98.39 119 | 98.13 215 | 99.57 62 | 95.54 233 | 97.78 170 | 99.49 71 | 97.37 180 | 99.19 97 | 97.65 272 | 98.96 19 | 99.49 303 | 96.50 181 | 98.99 257 | 99.34 171 |
|
test_normal | | | 97.58 193 | 97.41 195 | 98.10 216 | 99.03 195 | 95.72 229 | 96.21 278 | 97.05 299 | 96.71 217 | 98.65 165 | 98.12 247 | 93.87 247 | 99.69 236 | 97.68 116 | 99.35 209 | 98.88 245 |
|
testdata | | | | | 98.09 217 | 98.93 211 | 95.40 239 | | 98.80 245 | 90.08 332 | 97.45 256 | 98.37 227 | 95.26 214 | 99.70 232 | 93.58 272 | 98.95 261 | 99.17 214 |
|
IterMVS-LS | | | 98.55 113 | 98.70 74 | 98.09 217 | 99.48 97 | 94.73 250 | 97.22 222 | 99.39 100 | 98.97 78 | 99.38 62 | 99.31 74 | 96.00 187 | 99.93 26 | 98.58 68 | 99.97 23 | 99.60 52 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
PMMVS | | | 96.51 251 | 95.98 253 | 98.09 217 | 97.53 323 | 95.84 225 | 94.92 324 | 98.84 237 | 91.58 318 | 96.05 311 | 95.58 321 | 95.68 202 | 99.66 255 | 95.59 224 | 98.09 305 | 98.76 260 |
|
pmmvs5 | | | 97.64 189 | 97.49 190 | 98.08 220 | 99.14 172 | 95.12 245 | 96.70 253 | 99.05 200 | 93.77 292 | 98.62 171 | 98.83 166 | 93.23 255 | 99.75 206 | 98.33 83 | 99.76 114 | 99.36 165 |
|
DI_MVS_plusplus_test | | | 97.57 195 | 97.40 196 | 98.07 221 | 99.06 185 | 95.71 230 | 96.58 261 | 96.96 301 | 96.71 217 | 98.69 163 | 98.13 243 | 93.81 250 | 99.68 241 | 97.45 123 | 99.19 234 | 98.80 255 |
|
MDA-MVSNet-bldmvs | | | 97.94 169 | 97.91 166 | 98.06 222 | 99.44 109 | 94.96 247 | 96.63 258 | 99.15 186 | 98.35 109 | 98.83 150 | 99.11 107 | 94.31 240 | 99.85 88 | 96.60 170 | 98.72 268 | 99.37 159 |
|
sss | | | 97.21 220 | 96.93 216 | 98.06 222 | 98.83 234 | 95.22 241 | 96.75 250 | 98.48 266 | 94.49 277 | 97.27 268 | 97.90 261 | 92.77 264 | 99.80 155 | 96.57 173 | 99.32 214 | 99.16 217 |
|
EI-MVSNet | | | 98.40 132 | 98.51 97 | 98.04 224 | 99.10 175 | 94.73 250 | 97.20 223 | 98.87 231 | 98.97 78 | 99.06 110 | 99.02 129 | 96.00 187 | 99.80 155 | 98.58 68 | 99.82 82 | 99.60 52 |
|
PMMVS2 | | | 98.07 161 | 98.08 154 | 98.04 224 | 99.41 115 | 94.59 256 | 94.59 331 | 99.40 98 | 97.50 166 | 98.82 153 | 98.83 166 | 96.83 146 | 99.84 103 | 97.50 121 | 99.81 89 | 99.71 27 |
|
v148 | | | 98.45 127 | 98.60 91 | 98.00 226 | 99.44 109 | 94.98 246 | 97.44 208 | 99.06 196 | 98.30 115 | 99.32 77 | 98.97 139 | 96.65 158 | 99.62 265 | 98.37 80 | 99.85 71 | 99.39 152 |
|
Patchmatch-RL test | | | 97.26 216 | 97.02 213 | 97.99 227 | 99.52 81 | 95.53 234 | 96.13 282 | 99.71 12 | 97.47 169 | 99.27 82 | 99.16 98 | 84.30 311 | 99.62 265 | 97.89 100 | 99.77 105 | 98.81 252 |
|
diffmvs | | | 97.49 199 | 97.36 200 | 97.91 228 | 98.38 288 | 95.70 231 | 97.95 156 | 99.31 131 | 94.87 272 | 96.14 305 | 98.78 174 | 94.84 225 | 99.43 313 | 97.69 114 | 98.26 288 | 98.59 271 |
|
WTY-MVS | | | 96.67 245 | 96.27 249 | 97.87 229 | 98.81 239 | 94.61 255 | 96.77 248 | 97.92 283 | 94.94 270 | 97.12 270 | 97.74 267 | 91.11 275 | 99.82 130 | 93.89 262 | 98.15 296 | 99.18 210 |
|
CANet_DTU | | | 97.26 216 | 97.06 212 | 97.84 230 | 97.57 320 | 94.65 254 | 96.19 281 | 98.79 246 | 97.23 196 | 95.14 330 | 98.24 238 | 93.22 256 | 99.84 103 | 97.34 128 | 99.84 73 | 99.04 225 |
|
OpenMVS_ROB | | 95.38 14 | 95.84 264 | 95.18 273 | 97.81 231 | 98.41 286 | 97.15 174 | 97.37 210 | 98.62 261 | 83.86 348 | 98.65 165 | 98.37 227 | 94.29 241 | 99.68 241 | 88.41 328 | 98.62 277 | 96.60 333 |
|
MVSTER | | | 96.86 238 | 96.55 241 | 97.79 232 | 97.91 310 | 94.21 267 | 97.56 198 | 98.87 231 | 97.49 168 | 99.06 110 | 99.05 123 | 80.72 323 | 99.80 155 | 98.44 76 | 99.82 82 | 99.37 159 |
|
MVSFormer | | | 98.26 146 | 98.43 114 | 97.77 233 | 98.88 224 | 93.89 278 | 99.39 13 | 99.56 49 | 99.11 61 | 98.16 198 | 98.13 243 | 93.81 250 | 99.97 3 | 99.26 32 | 99.57 175 | 99.43 140 |
|
jason | | | 97.45 204 | 97.35 202 | 97.76 234 | 99.24 138 | 93.93 274 | 95.86 297 | 98.42 268 | 94.24 287 | 98.50 184 | 98.13 243 | 94.82 226 | 99.91 43 | 97.22 133 | 99.73 119 | 99.43 140 |
jason: jason. |
PAPR | | | 95.29 273 | 94.47 281 | 97.75 235 | 97.50 327 | 95.14 244 | 94.89 325 | 98.71 256 | 91.39 322 | 95.35 328 | 95.48 328 | 94.57 235 | 99.14 338 | 84.95 340 | 97.37 320 | 98.97 235 |
|
test1235678 | | | 97.06 229 | 96.84 223 | 97.73 236 | 98.55 276 | 94.46 263 | 94.80 326 | 99.36 111 | 96.85 211 | 98.83 150 | 98.26 236 | 92.72 265 | 99.82 130 | 92.49 295 | 99.70 131 | 98.91 242 |
|
MIMVSNet | | | 96.62 248 | 96.25 251 | 97.71 237 | 99.04 192 | 94.66 253 | 99.16 42 | 96.92 305 | 97.23 196 | 97.87 215 | 99.10 109 | 86.11 296 | 99.65 260 | 91.65 302 | 99.21 229 | 98.82 251 |
|
MVS_Test | | | 98.18 154 | 98.36 123 | 97.67 238 | 98.48 280 | 94.73 250 | 98.18 124 | 99.02 209 | 97.69 150 | 98.04 207 | 99.11 107 | 97.22 122 | 99.56 286 | 98.57 70 | 98.90 263 | 98.71 263 |
|
new_pmnet | | | 96.99 234 | 96.76 226 | 97.67 238 | 98.72 247 | 94.89 248 | 95.95 293 | 98.20 275 | 92.62 305 | 98.55 181 | 98.54 214 | 94.88 224 | 99.52 296 | 93.96 260 | 99.44 201 | 98.59 271 |
|
lupinMVS | | | 97.06 229 | 96.86 221 | 97.65 240 | 98.88 224 | 93.89 278 | 95.48 312 | 97.97 281 | 93.53 295 | 98.16 198 | 97.58 275 | 93.81 250 | 99.91 43 | 96.77 157 | 99.57 175 | 99.17 214 |
|
PMVS | | 91.26 20 | 97.86 175 | 97.94 163 | 97.65 240 | 99.71 34 | 97.94 125 | 98.52 91 | 98.68 257 | 98.99 75 | 97.52 251 | 99.35 68 | 97.41 104 | 98.18 351 | 91.59 305 | 99.67 149 | 96.82 330 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
MSLP-MVS++ | | | 98.02 162 | 98.14 146 | 97.64 242 | 98.58 272 | 95.19 242 | 97.48 205 | 99.23 159 | 97.47 169 | 97.90 213 | 98.62 202 | 97.04 129 | 98.81 348 | 97.55 117 | 99.41 203 | 98.94 238 |
|
no-one | | | 97.98 168 | 98.10 150 | 97.61 243 | 99.55 73 | 93.82 280 | 96.70 253 | 98.94 219 | 96.18 236 | 99.52 39 | 99.41 61 | 95.90 197 | 99.81 143 | 96.72 161 | 99.99 11 | 99.20 204 |
|
PVSNet_BlendedMVS | | | 97.55 196 | 97.53 188 | 97.60 244 | 98.92 215 | 93.77 282 | 96.64 257 | 99.43 93 | 94.49 277 | 97.62 241 | 99.18 92 | 96.82 147 | 99.67 247 | 94.73 237 | 99.93 39 | 99.36 165 |
|
TinyColmap | | | 97.89 171 | 97.98 159 | 97.60 244 | 98.86 226 | 94.35 264 | 96.21 278 | 99.44 88 | 97.45 176 | 99.06 110 | 98.88 157 | 97.99 69 | 99.28 331 | 94.38 251 | 99.58 171 | 99.18 210 |
|
BH-RMVSNet | | | 96.83 239 | 96.58 239 | 97.58 246 | 98.47 281 | 94.05 270 | 96.67 255 | 97.36 293 | 96.70 219 | 97.87 215 | 97.98 257 | 95.14 217 | 99.44 312 | 90.47 322 | 98.58 279 | 99.25 194 |
|
HY-MVS | | 95.94 13 | 95.90 262 | 95.35 267 | 97.55 247 | 97.95 307 | 94.79 249 | 98.81 74 | 96.94 304 | 92.28 310 | 95.17 329 | 98.57 208 | 89.90 280 | 99.75 206 | 91.20 314 | 97.33 324 | 98.10 288 |
|
SD-MVS | | | 98.40 132 | 98.68 79 | 97.54 248 | 98.96 206 | 97.99 115 | 97.88 162 | 99.36 111 | 98.20 121 | 99.63 26 | 99.04 125 | 98.76 24 | 95.33 356 | 96.56 176 | 99.74 116 | 99.31 181 |
|
PatchT | | | 96.65 246 | 96.35 246 | 97.54 248 | 97.40 329 | 95.32 240 | 97.98 153 | 96.64 312 | 99.33 40 | 96.89 284 | 99.42 59 | 84.32 310 | 99.81 143 | 97.69 114 | 97.49 317 | 97.48 317 |
|
GA-MVS | | | 95.86 263 | 95.32 268 | 97.49 250 | 98.60 271 | 94.15 269 | 93.83 340 | 97.93 282 | 95.49 260 | 96.68 291 | 97.42 287 | 83.21 316 | 99.30 328 | 96.22 193 | 98.55 280 | 99.01 229 |
|
PVSNet_Blended | | | 96.88 237 | 96.68 232 | 97.47 251 | 98.92 215 | 93.77 282 | 94.71 328 | 99.43 93 | 90.98 325 | 97.62 241 | 97.36 291 | 96.82 147 | 99.67 247 | 94.73 237 | 99.56 182 | 98.98 232 |
|
MS-PatchMatch | | | 97.68 186 | 97.75 174 | 97.45 252 | 98.23 297 | 93.78 281 | 97.29 215 | 98.84 237 | 96.10 242 | 98.64 167 | 98.65 193 | 96.04 184 | 99.36 320 | 96.84 153 | 99.14 241 | 99.20 204 |
|
USDC | | | 97.41 207 | 97.40 196 | 97.44 253 | 98.94 209 | 93.67 284 | 95.17 319 | 99.53 59 | 94.03 290 | 98.97 129 | 99.10 109 | 95.29 213 | 99.34 322 | 95.84 214 | 99.73 119 | 99.30 184 |
|
API-MVS | | | 97.04 232 | 96.91 219 | 97.42 254 | 97.88 312 | 98.23 99 | 98.18 124 | 98.50 265 | 97.57 160 | 97.39 263 | 96.75 302 | 96.77 151 | 99.15 337 | 90.16 323 | 99.02 253 | 94.88 349 |
|
MDA-MVSNet_test_wron | | | 97.60 191 | 97.66 181 | 97.41 255 | 99.04 192 | 93.09 289 | 95.27 316 | 98.42 268 | 97.26 190 | 98.88 144 | 98.95 143 | 95.43 211 | 99.73 220 | 97.02 143 | 98.72 268 | 99.41 145 |
|
YYNet1 | | | 97.60 191 | 97.67 178 | 97.39 256 | 99.04 192 | 93.04 292 | 95.27 316 | 98.38 270 | 97.25 191 | 98.92 138 | 98.95 143 | 95.48 210 | 99.73 220 | 96.99 144 | 98.74 267 | 99.41 145 |
|
CR-MVSNet | | | 96.28 257 | 95.95 254 | 97.28 257 | 97.71 315 | 94.22 265 | 98.11 131 | 98.92 225 | 92.31 309 | 96.91 281 | 99.37 65 | 85.44 303 | 99.81 143 | 97.39 127 | 97.36 322 | 97.81 299 |
|
RPMNet | | | 96.82 241 | 96.66 235 | 97.28 257 | 97.71 315 | 94.22 265 | 98.11 131 | 96.90 306 | 99.37 36 | 96.91 281 | 99.34 70 | 86.72 291 | 99.81 143 | 97.53 119 | 97.36 322 | 97.81 299 |
|
MG-MVS | | | 96.77 243 | 96.61 237 | 97.26 259 | 98.31 292 | 93.06 290 | 95.93 294 | 98.12 278 | 96.45 228 | 97.92 210 | 98.73 180 | 93.77 253 | 99.39 317 | 91.19 315 | 99.04 252 | 99.33 176 |
|
new-patchmatchnet | | | 98.35 135 | 98.74 66 | 97.18 260 | 99.24 138 | 92.23 300 | 96.42 269 | 99.48 74 | 98.30 115 | 99.69 17 | 99.53 44 | 97.44 102 | 99.82 130 | 98.84 58 | 99.77 105 | 99.49 111 |
|
Patchmatch-test | | | 96.55 250 | 96.34 247 | 97.17 261 | 98.35 289 | 93.06 290 | 98.40 113 | 97.79 284 | 97.33 183 | 98.41 190 | 98.67 189 | 83.68 315 | 99.69 236 | 95.16 229 | 99.31 216 | 98.77 258 |
|
BH-untuned | | | 96.83 239 | 96.75 227 | 97.08 262 | 98.74 245 | 93.33 288 | 96.71 252 | 98.26 273 | 96.72 215 | 98.44 187 | 97.37 290 | 95.20 215 | 99.47 307 | 91.89 299 | 97.43 319 | 98.44 277 |
|
FPMVS | | | 93.44 314 | 92.23 319 | 97.08 262 | 99.25 137 | 97.86 131 | 95.61 307 | 97.16 297 | 92.90 301 | 93.76 344 | 98.65 193 | 75.94 351 | 95.66 354 | 79.30 353 | 97.49 317 | 97.73 304 |
|
conf0.01 | | | 94.82 285 | 94.07 291 | 97.06 264 | 99.21 150 | 94.53 257 | 98.47 103 | 92.69 341 | 95.61 252 | 97.81 226 | 95.54 322 | 77.71 342 | 99.80 155 | 91.49 307 | 98.11 298 | 96.86 326 |
|
conf0.002 | | | 94.82 285 | 94.07 291 | 97.06 264 | 99.21 150 | 94.53 257 | 98.47 103 | 92.69 341 | 95.61 252 | 97.81 226 | 95.54 322 | 77.71 342 | 99.80 155 | 91.49 307 | 98.11 298 | 96.86 326 |
|
JIA-IIPM | | | 95.52 269 | 95.03 276 | 97.00 266 | 96.85 340 | 94.03 271 | 96.93 238 | 95.82 319 | 99.20 50 | 94.63 334 | 99.71 14 | 83.09 317 | 99.60 272 | 94.42 247 | 94.64 344 | 97.36 319 |
|
test0.0.03 1 | | | 94.51 294 | 93.69 304 | 96.99 267 | 96.05 349 | 93.61 285 | 94.97 323 | 93.49 338 | 96.17 237 | 97.57 247 | 94.88 341 | 82.30 320 | 99.01 342 | 93.60 271 | 94.17 349 | 98.37 283 |
|
pmmvs3 | | | 95.03 277 | 94.40 286 | 96.93 268 | 97.70 317 | 92.53 295 | 95.08 321 | 97.71 288 | 88.57 338 | 97.71 236 | 98.08 252 | 79.39 336 | 99.82 130 | 96.19 195 | 99.11 247 | 98.43 278 |
|
xiu_mvs_v1_base_debu | | | 97.86 175 | 98.17 139 | 96.92 269 | 98.98 203 | 93.91 275 | 96.45 266 | 99.17 180 | 97.85 144 | 98.41 190 | 97.14 297 | 98.47 39 | 99.92 34 | 98.02 95 | 99.05 249 | 96.92 323 |
|
xiu_mvs_v1_base | | | 97.86 175 | 98.17 139 | 96.92 269 | 98.98 203 | 93.91 275 | 96.45 266 | 99.17 180 | 97.85 144 | 98.41 190 | 97.14 297 | 98.47 39 | 99.92 34 | 98.02 95 | 99.05 249 | 96.92 323 |
|
xiu_mvs_v1_base_debi | | | 97.86 175 | 98.17 139 | 96.92 269 | 98.98 203 | 93.91 275 | 96.45 266 | 99.17 180 | 97.85 144 | 98.41 190 | 97.14 297 | 98.47 39 | 99.92 34 | 98.02 95 | 99.05 249 | 96.92 323 |
|
semantic-postprocess | | | | | 96.87 272 | 99.27 134 | 91.16 321 | | 99.25 153 | 99.10 65 | 99.41 58 | 99.35 68 | 92.91 262 | 99.96 8 | 98.65 66 | 99.94 33 | 99.49 111 |
|
mvs_anonymous | | | 97.83 181 | 98.16 142 | 96.87 272 | 98.18 300 | 91.89 302 | 97.31 214 | 98.90 228 | 97.37 180 | 98.83 150 | 99.46 52 | 96.28 178 | 99.79 175 | 98.90 53 | 98.16 295 | 98.95 236 |
|
DSMNet-mixed | | | 97.42 206 | 97.60 186 | 96.87 272 | 99.15 171 | 91.46 307 | 98.54 90 | 99.12 189 | 92.87 302 | 97.58 245 | 99.63 27 | 96.21 179 | 99.90 47 | 95.74 217 | 99.54 185 | 99.27 189 |
|
TR-MVS | | | 95.55 268 | 95.12 274 | 96.86 275 | 97.54 322 | 93.94 273 | 96.49 265 | 96.53 314 | 94.36 284 | 97.03 276 | 96.61 304 | 94.26 242 | 99.16 336 | 86.91 333 | 96.31 335 | 97.47 318 |
|
ppachtmachnet_test | | | 97.50 197 | 97.74 175 | 96.78 276 | 98.70 253 | 91.23 320 | 94.55 332 | 99.05 200 | 96.36 230 | 99.21 95 | 98.79 173 | 96.39 173 | 99.78 185 | 96.74 159 | 99.82 82 | 99.34 171 |
|
ADS-MVSNet2 | | | 95.43 272 | 94.98 277 | 96.76 277 | 98.14 301 | 91.74 303 | 97.92 158 | 97.76 285 | 90.23 328 | 96.51 298 | 98.91 148 | 85.61 300 | 99.85 88 | 92.88 285 | 96.90 328 | 98.69 266 |
|
LP | | | 96.60 249 | 96.57 240 | 96.68 278 | 97.64 319 | 91.70 304 | 98.11 131 | 97.74 286 | 97.29 189 | 97.91 212 | 99.24 82 | 88.35 287 | 99.85 88 | 97.11 141 | 95.76 339 | 98.49 274 |
|
thresconf0.02 | | | 94.70 289 | 94.07 291 | 96.58 279 | 99.21 150 | 94.53 257 | 98.47 103 | 92.69 341 | 95.61 252 | 97.81 226 | 95.54 322 | 77.71 342 | 99.80 155 | 91.49 307 | 98.11 298 | 95.42 345 |
|
tfpn_n400 | | | 94.70 289 | 94.07 291 | 96.58 279 | 99.21 150 | 94.53 257 | 98.47 103 | 92.69 341 | 95.61 252 | 97.81 226 | 95.54 322 | 77.71 342 | 99.80 155 | 91.49 307 | 98.11 298 | 95.42 345 |
|
tfpnconf | | | 94.70 289 | 94.07 291 | 96.58 279 | 99.21 150 | 94.53 257 | 98.47 103 | 92.69 341 | 95.61 252 | 97.81 226 | 95.54 322 | 77.71 342 | 99.80 155 | 91.49 307 | 98.11 298 | 95.42 345 |
|
tfpnview11 | | | 94.70 289 | 94.07 291 | 96.58 279 | 99.21 150 | 94.53 257 | 98.47 103 | 92.69 341 | 95.61 252 | 97.81 226 | 95.54 322 | 77.71 342 | 99.80 155 | 91.49 307 | 98.11 298 | 95.42 345 |
|
IterMVS | | | 97.73 183 | 98.11 148 | 96.57 283 | 99.24 138 | 90.28 322 | 95.52 311 | 99.21 160 | 98.86 85 | 99.33 72 | 99.33 72 | 93.11 258 | 99.94 20 | 98.49 74 | 99.94 33 | 99.48 117 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
PAPM | | | 91.88 325 | 90.34 327 | 96.51 284 | 98.06 304 | 92.56 294 | 92.44 347 | 97.17 296 | 86.35 344 | 90.38 352 | 96.01 313 | 86.61 292 | 99.21 333 | 70.65 355 | 95.43 341 | 97.75 303 |
|
MVS | | | 93.19 316 | 92.09 320 | 96.50 285 | 96.91 338 | 94.03 271 | 98.07 136 | 98.06 280 | 68.01 353 | 94.56 335 | 96.48 307 | 95.96 193 | 99.30 328 | 83.84 344 | 96.89 330 | 96.17 336 |
|
tfpn1000 | | | 94.81 287 | 94.25 290 | 96.47 286 | 99.01 199 | 93.47 287 | 98.56 87 | 92.30 350 | 96.17 237 | 97.90 213 | 96.29 311 | 76.70 348 | 99.77 195 | 93.02 281 | 98.29 287 | 96.16 337 |
|
our_test_3 | | | 97.39 208 | 97.73 176 | 96.34 287 | 98.70 253 | 89.78 324 | 94.61 330 | 98.97 218 | 96.50 225 | 99.04 118 | 98.85 162 | 95.98 191 | 99.84 103 | 97.26 132 | 99.67 149 | 99.41 145 |
|
thres600view7 | | | 94.45 295 | 93.83 300 | 96.29 288 | 99.06 185 | 91.53 306 | 97.99 152 | 94.24 333 | 98.34 110 | 97.44 257 | 95.01 335 | 79.84 330 | 99.67 247 | 84.33 342 | 98.23 289 | 97.66 306 |
|
IB-MVS | | 91.63 19 | 92.24 323 | 90.90 326 | 96.27 289 | 97.22 334 | 91.24 319 | 94.36 334 | 93.33 340 | 92.37 308 | 92.24 347 | 94.58 345 | 66.20 359 | 99.89 56 | 93.16 280 | 94.63 345 | 97.66 306 |
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 |
view600 | | | 94.87 280 | 94.41 282 | 96.26 290 | 99.22 144 | 91.37 310 | 98.49 97 | 94.45 326 | 98.75 89 | 97.85 218 | 95.98 315 | 80.38 325 | 99.75 206 | 86.06 336 | 98.49 281 | 97.66 306 |
|
view800 | | | 94.87 280 | 94.41 282 | 96.26 290 | 99.22 144 | 91.37 310 | 98.49 97 | 94.45 326 | 98.75 89 | 97.85 218 | 95.98 315 | 80.38 325 | 99.75 206 | 86.06 336 | 98.49 281 | 97.66 306 |
|
conf0.05thres1000 | | | 94.87 280 | 94.41 282 | 96.26 290 | 99.22 144 | 91.37 310 | 98.49 97 | 94.45 326 | 98.75 89 | 97.85 218 | 95.98 315 | 80.38 325 | 99.75 206 | 86.06 336 | 98.49 281 | 97.66 306 |
|
tfpn | | | 94.87 280 | 94.41 282 | 96.26 290 | 99.22 144 | 91.37 310 | 98.49 97 | 94.45 326 | 98.75 89 | 97.85 218 | 95.98 315 | 80.38 325 | 99.75 206 | 86.06 336 | 98.49 281 | 97.66 306 |
|
thres400 | | | 94.14 303 | 93.44 309 | 96.24 294 | 98.93 211 | 91.44 308 | 97.60 193 | 94.29 331 | 97.94 128 | 97.10 271 | 94.31 346 | 79.67 334 | 99.62 265 | 83.05 345 | 98.08 306 | 97.66 306 |
|
ADS-MVSNet | | | 95.24 274 | 94.93 278 | 96.18 295 | 98.14 301 | 90.10 323 | 97.92 158 | 97.32 294 | 90.23 328 | 96.51 298 | 98.91 148 | 85.61 300 | 99.74 215 | 92.88 285 | 96.90 328 | 98.69 266 |
|
xiu_mvs_v2_base | | | 97.16 224 | 97.49 190 | 96.17 296 | 98.54 277 | 92.46 296 | 95.45 313 | 98.84 237 | 97.25 191 | 97.48 254 | 96.49 306 | 98.31 47 | 99.90 47 | 96.34 190 | 98.68 273 | 96.15 339 |
|
1314 | | | 95.74 265 | 95.60 262 | 96.17 296 | 97.53 323 | 92.75 293 | 98.07 136 | 98.31 272 | 91.22 323 | 94.25 337 | 96.68 303 | 95.53 206 | 99.03 339 | 91.64 303 | 97.18 325 | 96.74 331 |
|
PS-MVSNAJ | | | 97.08 228 | 97.39 198 | 96.16 298 | 98.56 274 | 92.46 296 | 95.24 318 | 98.85 236 | 97.25 191 | 97.49 253 | 95.99 314 | 98.07 61 | 99.90 47 | 96.37 188 | 98.67 274 | 96.12 340 |
|
cascas | | | 94.79 288 | 94.33 289 | 96.15 299 | 96.02 351 | 92.36 299 | 92.34 348 | 99.26 152 | 85.34 347 | 95.08 331 | 94.96 340 | 92.96 261 | 98.53 349 | 94.41 250 | 98.59 278 | 97.56 315 |
|
testus | | | 95.52 269 | 95.32 268 | 96.13 300 | 97.91 310 | 89.49 326 | 93.62 341 | 99.61 30 | 92.41 307 | 97.38 265 | 95.42 331 | 94.72 233 | 99.63 263 | 88.06 330 | 98.72 268 | 99.26 192 |
|
test2356 | | | 91.64 327 | 90.19 330 | 96.00 301 | 94.30 355 | 89.58 325 | 90.84 349 | 96.68 310 | 91.76 313 | 95.48 326 | 93.69 350 | 67.05 357 | 99.52 296 | 84.83 341 | 97.08 327 | 98.91 242 |
|
tfpn111 | | | 94.33 297 | 93.78 301 | 95.96 302 | 99.06 185 | 91.35 314 | 98.03 142 | 94.24 333 | 98.33 111 | 97.40 260 | 94.98 337 | 79.84 330 | 99.68 241 | 83.94 343 | 98.22 291 | 96.86 326 |
|
tfpn_ndepth | | | 94.12 304 | 93.51 308 | 95.94 303 | 98.86 226 | 93.60 286 | 98.16 127 | 91.90 352 | 94.66 276 | 97.41 259 | 95.24 332 | 76.24 349 | 99.73 220 | 91.21 313 | 97.88 313 | 94.50 350 |
|
conf200view11 | | | 94.24 300 | 93.67 305 | 95.94 303 | 99.06 185 | 91.35 314 | 98.03 142 | 94.24 333 | 98.33 111 | 97.40 260 | 94.98 337 | 79.84 330 | 99.62 265 | 83.05 345 | 98.08 306 | 96.86 326 |
|
BH-w/o | | | 95.13 275 | 94.89 279 | 95.86 305 | 98.20 299 | 91.31 317 | 95.65 306 | 97.37 292 | 93.64 293 | 96.52 297 | 95.70 320 | 93.04 260 | 99.02 340 | 88.10 329 | 95.82 338 | 97.24 321 |
|
gg-mvs-nofinetune | | | 92.37 321 | 91.20 325 | 95.85 306 | 95.80 352 | 92.38 298 | 99.31 20 | 81.84 359 | 99.75 4 | 91.83 348 | 99.74 8 | 68.29 355 | 99.02 340 | 87.15 332 | 97.12 326 | 96.16 337 |
|
tfpn200view9 | | | 94.03 306 | 93.44 309 | 95.78 307 | 98.93 211 | 91.44 308 | 97.60 193 | 94.29 331 | 97.94 128 | 97.10 271 | 94.31 346 | 79.67 334 | 99.62 265 | 83.05 345 | 98.08 306 | 96.29 334 |
|
thres100view900 | | | 94.19 301 | 93.67 305 | 95.75 308 | 99.06 185 | 91.35 314 | 98.03 142 | 94.24 333 | 98.33 111 | 97.40 260 | 94.98 337 | 79.84 330 | 99.62 265 | 83.05 345 | 98.08 306 | 96.29 334 |
|
tpm | | | 94.67 293 | 94.34 288 | 95.66 309 | 97.68 318 | 88.42 328 | 97.88 162 | 94.90 323 | 94.46 279 | 96.03 312 | 98.56 211 | 78.66 337 | 99.79 175 | 95.88 208 | 95.01 343 | 98.78 257 |
|
CHOSEN 280x420 | | | 95.51 271 | 95.47 263 | 95.65 310 | 98.25 293 | 88.27 330 | 93.25 343 | 98.88 230 | 93.53 295 | 94.65 333 | 97.15 296 | 86.17 294 | 99.93 26 | 97.41 126 | 99.93 39 | 98.73 262 |
|
Patchmatch-test1 | | | 96.44 255 | 96.72 228 | 95.60 311 | 98.24 295 | 88.35 329 | 95.85 299 | 96.88 307 | 96.11 241 | 97.67 239 | 98.57 208 | 93.10 259 | 99.69 236 | 94.79 235 | 99.22 227 | 98.77 258 |
|
PVSNet | | 93.40 17 | 95.67 266 | 95.70 258 | 95.57 312 | 98.83 234 | 88.57 327 | 92.50 346 | 97.72 287 | 92.69 304 | 96.49 301 | 96.44 309 | 93.72 254 | 99.43 313 | 93.61 270 | 99.28 221 | 98.71 263 |
|
thres200 | | | 93.72 311 | 93.14 312 | 95.46 313 | 98.66 266 | 91.29 318 | 96.61 260 | 94.63 325 | 97.39 179 | 96.83 287 | 93.71 349 | 79.88 329 | 99.56 286 | 82.40 349 | 98.13 297 | 95.54 344 |
|
EPNet_dtu | | | 94.93 279 | 94.78 280 | 95.38 314 | 93.58 357 | 87.68 332 | 96.78 247 | 95.69 321 | 97.35 182 | 89.14 353 | 98.09 251 | 88.15 288 | 99.49 303 | 94.95 234 | 99.30 217 | 98.98 232 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
PatchmatchNet | | | 95.58 267 | 95.67 260 | 95.30 315 | 97.34 331 | 87.32 333 | 97.65 185 | 96.65 311 | 95.30 263 | 97.07 273 | 98.69 185 | 84.77 305 | 99.75 206 | 94.97 233 | 98.64 275 | 98.83 249 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
EU-MVSNet | | | 97.66 188 | 98.50 99 | 95.13 316 | 99.63 52 | 85.84 338 | 98.35 115 | 98.21 274 | 98.23 120 | 99.54 35 | 99.46 52 | 95.02 219 | 99.68 241 | 98.24 85 | 99.87 68 | 99.87 6 |
|
EPMVS | | | 93.72 311 | 93.27 311 | 95.09 317 | 96.04 350 | 87.76 331 | 98.13 128 | 85.01 357 | 94.69 275 | 96.92 279 | 98.64 196 | 78.47 340 | 99.31 326 | 95.04 230 | 96.46 334 | 98.20 285 |
|
DWT-MVSNet_test | | | 92.75 319 | 92.05 321 | 94.85 318 | 96.48 345 | 87.21 334 | 97.83 168 | 94.99 322 | 92.22 311 | 92.72 346 | 94.11 348 | 70.75 353 | 99.46 309 | 95.01 231 | 94.33 348 | 97.87 295 |
|
1111 | | | 93.99 307 | 93.72 303 | 94.80 319 | 99.33 128 | 85.20 342 | 95.97 286 | 99.39 100 | 97.88 140 | 98.64 167 | 98.56 211 | 57.79 362 | 99.80 155 | 96.02 202 | 99.87 68 | 99.40 151 |
|
GG-mvs-BLEND | | | | | 94.76 320 | 94.54 354 | 92.13 301 | 99.31 20 | 80.47 360 | | 88.73 354 | 91.01 354 | 67.59 356 | 98.16 352 | 82.30 350 | 94.53 346 | 93.98 351 |
|
tpm2 | | | 93.09 317 | 92.58 316 | 94.62 321 | 97.56 321 | 86.53 336 | 97.66 183 | 95.79 320 | 86.15 345 | 94.07 341 | 98.23 240 | 75.95 350 | 99.53 292 | 90.91 318 | 96.86 331 | 97.81 299 |
|
PatchFormer-LS_test | | | 94.08 305 | 93.91 298 | 94.59 322 | 96.93 337 | 86.86 335 | 97.55 200 | 96.57 313 | 94.27 286 | 94.38 336 | 93.64 351 | 80.96 322 | 99.59 276 | 96.44 186 | 94.48 347 | 97.31 320 |
|
CostFormer | | | 93.97 308 | 93.78 301 | 94.51 323 | 97.53 323 | 85.83 339 | 97.98 153 | 95.96 318 | 89.29 336 | 94.99 332 | 98.63 200 | 78.63 338 | 99.62 265 | 94.54 242 | 96.50 333 | 98.09 289 |
|
tpmvs | | | 95.02 278 | 95.25 270 | 94.33 324 | 96.39 347 | 85.87 337 | 98.08 134 | 96.83 308 | 95.46 261 | 95.51 325 | 98.69 185 | 85.91 297 | 99.53 292 | 94.16 252 | 96.23 336 | 97.58 314 |
|
tpmp4_e23 | | | 92.91 318 | 92.45 317 | 94.29 325 | 97.41 328 | 85.62 341 | 97.95 156 | 96.77 309 | 87.55 343 | 91.33 350 | 98.57 208 | 74.21 352 | 99.59 276 | 91.62 304 | 96.64 332 | 97.65 313 |
|
MVE | | 83.40 22 | 92.50 320 | 91.92 322 | 94.25 326 | 98.83 234 | 91.64 305 | 92.71 345 | 83.52 358 | 95.92 247 | 86.46 356 | 95.46 329 | 95.20 215 | 95.40 355 | 80.51 351 | 98.64 275 | 95.73 343 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
test-LLR | | | 93.90 309 | 93.85 299 | 94.04 327 | 96.53 343 | 84.62 346 | 94.05 336 | 92.39 348 | 96.17 237 | 94.12 339 | 95.07 333 | 82.30 320 | 99.67 247 | 95.87 211 | 98.18 293 | 97.82 297 |
|
test-mter | | | 92.33 322 | 91.76 324 | 94.04 327 | 96.53 343 | 84.62 346 | 94.05 336 | 92.39 348 | 94.00 291 | 94.12 339 | 95.07 333 | 65.63 361 | 99.67 247 | 95.87 211 | 98.18 293 | 97.82 297 |
|
test12356 | | | 94.85 284 | 95.12 274 | 94.03 329 | 98.25 293 | 83.12 351 | 93.85 339 | 99.33 126 | 94.17 289 | 97.28 267 | 97.20 292 | 85.83 298 | 99.75 206 | 90.85 320 | 99.33 212 | 99.22 202 |
|
tpmrst | | | 95.07 276 | 95.46 264 | 93.91 330 | 97.11 335 | 84.36 348 | 97.62 190 | 96.96 301 | 94.98 268 | 96.35 303 | 98.80 171 | 85.46 302 | 99.59 276 | 95.60 223 | 96.23 336 | 97.79 302 |
|
tpm cat1 | | | 93.29 315 | 93.13 313 | 93.75 331 | 97.39 330 | 84.74 345 | 97.39 209 | 97.65 290 | 83.39 350 | 94.16 338 | 98.41 224 | 82.86 319 | 99.39 317 | 91.56 306 | 95.35 342 | 97.14 322 |
|
PVSNet_0 | | 89.98 21 | 91.15 328 | 90.30 328 | 93.70 332 | 97.72 314 | 84.34 349 | 90.24 350 | 97.42 291 | 90.20 331 | 93.79 343 | 93.09 352 | 90.90 276 | 98.89 346 | 86.57 334 | 72.76 355 | 97.87 295 |
|
E-PMN | | | 94.17 302 | 94.37 287 | 93.58 333 | 96.86 339 | 85.71 340 | 90.11 351 | 97.07 298 | 98.17 124 | 97.82 225 | 97.19 293 | 84.62 307 | 98.94 343 | 89.77 324 | 97.68 316 | 96.09 341 |
|
TESTMET0.1,1 | | | 92.19 324 | 91.77 323 | 93.46 334 | 96.48 345 | 82.80 353 | 94.05 336 | 91.52 353 | 94.45 281 | 94.00 342 | 94.88 341 | 66.65 358 | 99.56 286 | 95.78 216 | 98.11 298 | 98.02 291 |
|
DeepMVS_CX | | | | | 93.44 335 | 98.24 295 | 94.21 267 | | 94.34 330 | 64.28 354 | 91.34 349 | 94.87 343 | 89.45 284 | 92.77 357 | 77.54 354 | 93.14 350 | 93.35 352 |
|
CVMVSNet | | | 96.25 258 | 97.21 206 | 93.38 336 | 99.10 175 | 80.56 356 | 97.20 223 | 98.19 277 | 96.94 206 | 99.00 124 | 99.02 129 | 89.50 283 | 99.80 155 | 96.36 189 | 99.59 165 | 99.78 15 |
|
EMVS | | | 93.83 310 | 94.02 297 | 93.23 337 | 96.83 341 | 84.96 344 | 89.77 352 | 96.32 316 | 97.92 130 | 97.43 258 | 96.36 310 | 86.17 294 | 98.93 344 | 87.68 331 | 97.73 315 | 95.81 342 |
|
dp | | | 93.47 313 | 93.59 307 | 93.13 338 | 96.64 342 | 81.62 355 | 97.66 183 | 96.42 315 | 92.80 303 | 96.11 307 | 98.64 196 | 78.55 339 | 99.59 276 | 93.31 278 | 92.18 353 | 98.16 286 |
|
wuyk23d | | | 96.06 260 | 97.62 185 | 91.38 339 | 98.65 267 | 98.57 76 | 98.85 72 | 96.95 303 | 96.86 210 | 99.90 5 | 99.16 98 | 99.18 12 | 98.40 350 | 89.23 326 | 99.77 105 | 77.18 355 |
|
MVS-HIRNet | | | 94.32 298 | 95.62 261 | 90.42 340 | 98.46 282 | 75.36 357 | 96.29 274 | 89.13 355 | 95.25 264 | 95.38 327 | 99.75 7 | 92.88 263 | 99.19 334 | 94.07 258 | 99.39 205 | 96.72 332 |
|
PNet_i23d | | | 91.80 326 | 92.35 318 | 90.14 341 | 98.65 267 | 73.10 360 | 89.22 353 | 99.02 209 | 95.23 266 | 97.87 215 | 97.82 264 | 78.45 341 | 98.89 346 | 88.73 327 | 86.14 354 | 98.42 279 |
|
testpf | | | 89.08 329 | 90.27 329 | 85.50 342 | 94.03 356 | 82.85 352 | 96.87 244 | 91.09 354 | 91.61 317 | 90.96 351 | 94.86 344 | 66.15 360 | 95.83 353 | 94.58 241 | 92.27 352 | 77.82 354 |
|
tmp_tt | | | 78.77 331 | 78.73 332 | 78.90 343 | 58.45 359 | 74.76 359 | 94.20 335 | 78.26 361 | 39.16 355 | 86.71 355 | 92.82 353 | 80.50 324 | 75.19 358 | 86.16 335 | 92.29 351 | 86.74 353 |
|
.test1245 | | | 79.71 330 | 84.30 331 | 65.96 344 | 99.33 128 | 85.20 342 | 95.97 286 | 99.39 100 | 97.88 140 | 98.64 167 | 98.56 211 | 57.79 362 | 99.80 155 | 96.02 202 | 15.07 356 | 12.86 357 |
|
pcd1.5k->3k | | | 41.59 332 | 44.35 333 | 33.30 345 | 99.87 12 | 0.00 363 | 0.00 354 | 99.58 36 | 0.00 358 | 0.00 359 | 0.00 360 | 99.70 2 | 0.00 361 | 0.00 358 | 99.99 11 | 99.91 2 |
|
test123 | | | 17.04 335 | 20.11 336 | 7.82 346 | 10.25 361 | 4.91 361 | 94.80 326 | 4.47 363 | 4.93 356 | 10.00 358 | 24.28 357 | 9.69 364 | 3.64 359 | 10.14 356 | 12.43 358 | 14.92 356 |
|
testmvs | | | 17.12 334 | 20.53 335 | 6.87 347 | 12.05 360 | 4.20 362 | 93.62 341 | 6.73 362 | 4.62 357 | 10.41 357 | 24.33 356 | 8.28 365 | 3.56 360 | 9.69 357 | 15.07 356 | 12.86 357 |
|
cdsmvs_eth3d_5k | | | 24.66 333 | 32.88 334 | 0.00 348 | 0.00 362 | 0.00 363 | 0.00 354 | 99.10 192 | 0.00 358 | 0.00 359 | 97.58 275 | 99.21 11 | 0.00 361 | 0.00 358 | 0.00 359 | 0.00 359 |
|
pcd_1.5k_mvsjas | | | 8.17 336 | 10.90 337 | 0.00 348 | 0.00 362 | 0.00 363 | 0.00 354 | 0.00 364 | 0.00 358 | 0.00 359 | 0.00 360 | 98.07 61 | 0.00 361 | 0.00 358 | 0.00 359 | 0.00 359 |
|
sosnet-low-res | | | 0.00 338 | 0.00 339 | 0.00 348 | 0.00 362 | 0.00 363 | 0.00 354 | 0.00 364 | 0.00 358 | 0.00 359 | 0.00 360 | 0.00 366 | 0.00 361 | 0.00 358 | 0.00 359 | 0.00 359 |
|
sosnet | | | 0.00 338 | 0.00 339 | 0.00 348 | 0.00 362 | 0.00 363 | 0.00 354 | 0.00 364 | 0.00 358 | 0.00 359 | 0.00 360 | 0.00 366 | 0.00 361 | 0.00 358 | 0.00 359 | 0.00 359 |
|
uncertanet | | | 0.00 338 | 0.00 339 | 0.00 348 | 0.00 362 | 0.00 363 | 0.00 354 | 0.00 364 | 0.00 358 | 0.00 359 | 0.00 360 | 0.00 366 | 0.00 361 | 0.00 358 | 0.00 359 | 0.00 359 |
|
Regformer | | | 0.00 338 | 0.00 339 | 0.00 348 | 0.00 362 | 0.00 363 | 0.00 354 | 0.00 364 | 0.00 358 | 0.00 359 | 0.00 360 | 0.00 366 | 0.00 361 | 0.00 358 | 0.00 359 | 0.00 359 |
|
ab-mvs-re | | | 8.12 337 | 10.83 338 | 0.00 348 | 0.00 362 | 0.00 363 | 0.00 354 | 0.00 364 | 0.00 358 | 0.00 359 | 97.48 282 | 0.00 366 | 0.00 361 | 0.00 358 | 0.00 359 | 0.00 359 |
|
uanet | | | 0.00 338 | 0.00 339 | 0.00 348 | 0.00 362 | 0.00 363 | 0.00 354 | 0.00 364 | 0.00 358 | 0.00 359 | 0.00 360 | 0.00 366 | 0.00 361 | 0.00 358 | 0.00 359 | 0.00 359 |
|
GSMVS | | | | | | | | | | | | | | | | | 98.81 252 |
|
test_part3 | | | | | | | | 97.25 217 | | 96.66 220 | | 98.71 182 | | 99.86 77 | 93.00 282 | | |
|
test_part2 | | | | | | 99.36 121 | 99.10 43 | | | | 99.05 115 | | | | | | |
|
test_part1 | | | | | | | | | 99.28 142 | | | | 97.56 91 | | | 99.57 175 | 99.53 91 |
|
sam_mvs1 | | | | | | | | | | | | | 84.74 306 | | | | 98.81 252 |
|
sam_mvs | | | | | | | | | | | | | 84.29 312 | | | | |
|
MTGPA | | | | | | | | | 99.20 164 | | | | | | | | |
|
test_post1 | | | | | | | | 97.59 195 | | | | 20.48 359 | 83.07 318 | 99.66 255 | 94.16 252 | | |
|
test_post | | | | | | | | | | | | 21.25 358 | 83.86 314 | 99.70 232 | | | |
|
patchmatchnet-post | | | | | | | | | | | | 98.77 176 | 84.37 309 | 99.85 88 | | | |
|
MTMP | | | | | | | | | 91.91 351 | | | | | | | | |
|
gm-plane-assit | | | | | | 94.83 353 | 81.97 354 | | | 88.07 340 | | 94.99 336 | | 99.60 272 | 91.76 300 | | |
|
test9_res | | | | | | | | | | | | | | | 93.28 279 | 99.15 240 | 99.38 158 |
|
TEST9 | | | | | | 98.71 249 | 98.08 108 | 95.96 290 | 99.03 205 | 91.40 321 | 95.85 313 | 97.53 277 | 96.52 166 | 99.76 200 | | | |
|
test_8 | | | | | | 98.67 261 | 98.01 114 | 95.91 296 | 99.02 209 | 91.64 315 | 95.79 315 | 97.50 280 | 96.47 169 | 99.76 200 | | | |
|
agg_prior2 | | | | | | | | | | | | | | | 92.50 294 | 99.16 237 | 99.37 159 |
|
agg_prior | | | | | | 98.68 258 | 97.99 115 | | 99.01 212 | | 95.59 317 | | | 99.77 195 | | | |
|
test_prior4 | | | | | | | 97.97 120 | 95.86 297 | | | | | | | | | |
|
test_prior2 | | | | | | | | 95.74 303 | | 96.48 226 | 96.11 307 | 97.63 273 | 95.92 195 | | 94.16 252 | 99.20 230 | |
|
旧先验2 | | | | | | | | 95.76 301 | | 88.56 339 | 97.52 251 | | | 99.66 255 | 94.48 243 | | |
|
æ–°å‡ ä½•2 | | | | | | | | 95.93 294 | | | | | | | | | |
|
旧先验1 | | | | | | 98.82 237 | 97.45 159 | | 98.76 248 | | | 98.34 230 | 95.50 209 | | | 99.01 255 | 99.23 198 |
|
æ— å…ˆéªŒ | | | | | | | | 95.74 303 | 98.74 253 | 89.38 335 | | | | 99.73 220 | 92.38 296 | | 99.22 202 |
|
原ACMM2 | | | | | | | | 95.53 310 | | | | | | | | | |
|
test222 | | | | | | 98.92 215 | 96.93 182 | 95.54 309 | 98.78 247 | 85.72 346 | 96.86 286 | 98.11 248 | 94.43 237 | | | 99.10 248 | 99.23 198 |
|
testdata2 | | | | | | | | | | | | | | 99.79 175 | 92.80 289 | | |
|
segment_acmp | | | | | | | | | | | | | 97.02 132 | | | | |
|
testdata1 | | | | | | | | 95.44 314 | | 96.32 232 | | | | | | | |
|
plane_prior7 | | | | | | 99.19 160 | 97.87 130 | | | | | | | | | | |
|
plane_prior6 | | | | | | 98.99 202 | 97.70 147 | | | | | | 94.90 221 | | | | |
|
plane_prior5 | | | | | | | | | 99.27 147 | | | | | 99.70 232 | 94.42 247 | 99.51 192 | 99.45 133 |
|
plane_prior4 | | | | | | | | | | | | 97.98 257 | | | | | |
|
plane_prior3 | | | | | | | 97.78 140 | | | 97.41 177 | 97.79 232 | | | | | | |
|
plane_prior2 | | | | | | | | 97.77 172 | | 98.20 121 | | | | | | | |
|
plane_prior1 | | | | | | 99.05 190 | | | | | | | | | | | |
|
plane_prior | | | | | | | 97.65 149 | 97.07 232 | | 96.72 215 | | | | | | 99.36 207 | |
|
n2 | | | | | | | | | 0.00 364 | | | | | | | | |
|
nn | | | | | | | | | 0.00 364 | | | | | | | | |
|
door-mid | | | | | | | | | 99.57 43 | | | | | | | | |
|
test11 | | | | | | | | | 98.87 231 | | | | | | | | |
|
door | | | | | | | | | 99.41 97 | | | | | | | | |
|
HQP5-MVS | | | | | | | 96.79 185 | | | | | | | | | | |
|
HQP-NCC | | | | | | 98.67 261 | | 96.29 274 | | 96.05 243 | 95.55 321 | | | | | | |
|
ACMP_Plane | | | | | | 98.67 261 | | 96.29 274 | | 96.05 243 | 95.55 321 | | | | | | |
|
BP-MVS | | | | | | | | | | | | | | | 92.82 287 | | |
|
HQP4-MVS | | | | | | | | | | | 95.56 320 | | | 99.54 290 | | | 99.32 177 |
|
HQP3-MVS | | | | | | | | | 99.04 203 | | | | | | | 99.26 224 | |
|
HQP2-MVS | | | | | | | | | | | | | 93.84 248 | | | | |
|
NP-MVS | | | | | | 98.84 232 | 97.39 162 | | | | | 96.84 300 | | | | | |
|
MDTV_nov1_ep13_2view | | | | | | | 74.92 358 | 97.69 180 | | 90.06 333 | 97.75 235 | | 85.78 299 | | 93.52 273 | | 98.69 266 |
|
MDTV_nov1_ep13 | | | | 95.22 271 | | 97.06 336 | 83.20 350 | 97.74 176 | 96.16 317 | 94.37 283 | 96.99 277 | 98.83 166 | 83.95 313 | 99.53 292 | 93.90 261 | 97.95 311 | |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 99.77 105 | |
|
ACMMP++ | | | | | | | | | | | | | | | | 99.68 143 | |
|
Test By Simon | | | | | | | | | | | | | 96.52 166 | | | | |
|