xiu_mvs_v1_base_debu | | | 99.29 46 | 99.27 40 | 99.34 105 | 99.63 94 | 98.97 116 | 99.12 236 | 99.51 84 | 98.86 31 | 99.84 8 | 99.47 189 | 98.18 74 | 99.99 1 | 99.50 8 | 99.31 113 | 99.08 163 |
|
xiu_mvs_v1_base | | | 99.29 46 | 99.27 40 | 99.34 105 | 99.63 94 | 98.97 116 | 99.12 236 | 99.51 84 | 98.86 31 | 99.84 8 | 99.47 189 | 98.18 74 | 99.99 1 | 99.50 8 | 99.31 113 | 99.08 163 |
|
xiu_mvs_v1_base_debi | | | 99.29 46 | 99.27 40 | 99.34 105 | 99.63 94 | 98.97 116 | 99.12 236 | 99.51 84 | 98.86 31 | 99.84 8 | 99.47 189 | 98.18 74 | 99.99 1 | 99.50 8 | 99.31 113 | 99.08 163 |
|
EPNet | | | 98.86 100 | 98.71 103 | 99.30 113 | 97.20 311 | 98.18 195 | 99.62 74 | 98.91 278 | 99.28 2 | 98.63 232 | 99.81 53 | 95.96 128 | 99.99 1 | 99.24 30 | 99.72 83 | 99.73 63 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
MVS_0304 | | | 99.06 79 | 98.86 87 | 99.66 53 | 99.51 117 | 99.36 74 | 99.22 220 | 99.51 84 | 98.95 24 | 99.58 60 | 99.65 127 | 93.74 225 | 99.98 5 | 99.66 1 | 99.95 6 | 99.64 94 |
|
xiu_mvs_v2_base | | | 99.26 51 | 99.25 44 | 99.29 116 | 99.53 114 | 98.91 129 | 99.02 262 | 99.45 147 | 98.80 39 | 99.71 29 | 99.26 243 | 98.94 24 | 99.98 5 | 99.34 22 | 99.23 117 | 98.98 176 |
|
PS-MVSNAJ | | | 99.32 42 | 99.32 26 | 99.30 113 | 99.57 109 | 98.94 124 | 98.97 275 | 99.46 136 | 98.92 28 | 99.71 29 | 99.24 245 | 99.01 11 | 99.98 5 | 99.35 18 | 99.66 95 | 98.97 177 |
|
QAPM | | | 98.67 122 | 98.30 135 | 99.80 29 | 99.20 182 | 99.67 32 | 99.77 24 | 99.72 11 | 94.74 273 | 98.73 213 | 99.90 7 | 95.78 137 | 99.98 5 | 96.96 221 | 99.88 34 | 99.76 52 |
|
3Dnovator | | 97.25 9 | 99.24 53 | 99.05 58 | 99.81 27 | 99.12 199 | 99.66 34 | 99.84 9 | 99.74 10 | 99.09 8 | 98.92 192 | 99.90 7 | 95.94 131 | 99.98 5 | 98.95 53 | 99.92 12 | 99.79 43 |
|
OpenMVS | | 96.50 16 | 98.47 129 | 98.12 143 | 99.52 83 | 99.04 214 | 99.53 55 | 99.82 13 | 99.72 11 | 94.56 279 | 98.08 258 | 99.88 14 | 94.73 186 | 99.98 5 | 97.47 191 | 99.76 76 | 99.06 168 |
|
CANet_DTU | | | 98.97 92 | 98.87 84 | 99.25 119 | 99.33 155 | 98.42 189 | 99.08 246 | 99.30 220 | 99.16 5 | 99.43 85 | 99.75 90 | 95.27 149 | 99.97 11 | 98.56 100 | 99.95 6 | 99.36 144 |
|
MPTG | | | 99.49 13 | 99.36 19 | 99.89 2 | 99.90 3 | 99.86 3 | 99.36 179 | 99.47 126 | 98.79 40 | 99.68 34 | 99.81 53 | 98.43 61 | 99.97 11 | 98.88 57 | 99.90 24 | 99.83 23 |
|
MTAPA | | | 99.52 11 | 99.39 15 | 99.89 2 | 99.90 3 | 99.86 3 | 99.66 58 | 99.47 126 | 98.79 40 | 99.68 34 | 99.81 53 | 98.43 61 | 99.97 11 | 98.88 57 | 99.90 24 | 99.83 23 |
|
PGM-MVS | | | 99.45 22 | 99.31 31 | 99.86 12 | 99.87 15 | 99.78 20 | 99.58 87 | 99.65 30 | 97.84 116 | 99.71 29 | 99.80 64 | 99.12 7 | 99.97 11 | 98.33 121 | 99.87 38 | 99.83 23 |
|
mPP-MVS | | | 99.44 25 | 99.30 33 | 99.86 12 | 99.88 11 | 99.79 16 | 99.69 44 | 99.48 112 | 98.12 84 | 99.50 73 | 99.75 90 | 98.78 36 | 99.97 11 | 98.57 97 | 99.89 32 | 99.83 23 |
|
CP-MVS | | | 99.45 22 | 99.32 26 | 99.85 17 | 99.83 28 | 99.75 21 | 99.69 44 | 99.52 75 | 98.07 93 | 99.53 68 | 99.63 138 | 98.93 25 | 99.97 11 | 98.74 75 | 99.91 17 | 99.83 23 |
|
SteuartSystems-ACMMP | | | 99.54 7 | 99.42 11 | 99.87 6 | 99.82 29 | 99.81 11 | 99.59 83 | 99.51 84 | 98.62 49 | 99.79 18 | 99.83 37 | 99.28 3 | 99.97 11 | 98.48 108 | 99.90 24 | 99.84 12 |
Skip Steuart: Steuart Systems R&D Blog. |
3Dnovator+ | | 97.12 13 | 99.18 57 | 98.97 71 | 99.82 24 | 99.17 191 | 99.68 30 | 99.81 15 | 99.51 84 | 99.20 4 | 98.72 214 | 99.89 10 | 95.68 140 | 99.97 11 | 98.86 64 | 99.86 48 | 99.81 34 |
|
UA-Net | | | 99.42 29 | 99.29 36 | 99.80 29 | 99.62 98 | 99.55 51 | 99.50 121 | 99.70 15 | 98.79 40 | 99.77 23 | 99.96 1 | 97.45 91 | 99.96 19 | 98.92 55 | 99.90 24 | 99.89 2 |
|
HFP-MVS | | | 99.49 13 | 99.37 17 | 99.86 12 | 99.87 15 | 99.80 12 | 99.66 58 | 99.67 22 | 98.15 80 | 99.68 34 | 99.69 111 | 99.06 8 | 99.96 19 | 98.69 82 | 99.87 38 | 99.84 12 |
|
region2R | | | 99.48 17 | 99.35 22 | 99.87 6 | 99.88 11 | 99.80 12 | 99.65 68 | 99.66 25 | 98.13 82 | 99.66 45 | 99.68 116 | 98.96 20 | 99.96 19 | 98.62 90 | 99.87 38 | 99.84 12 |
|
#test# | | | 99.43 27 | 99.29 36 | 99.86 12 | 99.87 15 | 99.80 12 | 99.55 105 | 99.67 22 | 97.83 117 | 99.68 34 | 99.69 111 | 99.06 8 | 99.96 19 | 98.39 114 | 99.87 38 | 99.84 12 |
|
HPM-MVS++ | | | 99.39 36 | 99.23 45 | 99.87 6 | 99.75 47 | 99.84 6 | 99.43 150 | 99.51 84 | 98.68 47 | 99.27 125 | 99.53 167 | 98.64 52 | 99.96 19 | 98.44 113 | 99.80 68 | 99.79 43 |
|
APDe-MVS | | | 99.66 1 | 99.57 1 | 99.92 1 | 99.77 38 | 99.89 1 | 99.75 34 | 99.56 47 | 99.02 10 | 99.88 3 | 99.85 26 | 99.18 5 | 99.96 19 | 99.22 31 | 99.92 12 | 99.90 1 |
|
ACMMPR | | | 99.49 13 | 99.36 19 | 99.86 12 | 99.87 15 | 99.79 16 | 99.66 58 | 99.67 22 | 98.15 80 | 99.67 40 | 99.69 111 | 98.95 23 | 99.96 19 | 98.69 82 | 99.87 38 | 99.84 12 |
|
MP-MVS | | | 99.33 41 | 99.15 50 | 99.87 6 | 99.88 11 | 99.82 10 | 99.66 58 | 99.46 136 | 98.09 89 | 99.48 77 | 99.74 95 | 98.29 70 | 99.96 19 | 97.93 148 | 99.87 38 | 99.82 30 |
|
abl_6 | | | 99.44 25 | 99.31 31 | 99.83 22 | 99.85 23 | 99.75 21 | 99.66 58 | 99.59 37 | 98.13 82 | 99.82 14 | 99.81 53 | 98.60 54 | 99.96 19 | 98.46 111 | 99.88 34 | 99.79 43 |
|
CPTT-MVS | | | 99.11 71 | 98.90 80 | 99.74 43 | 99.80 32 | 99.46 65 | 99.59 83 | 99.49 103 | 97.03 189 | 99.63 50 | 99.69 111 | 97.27 97 | 99.96 19 | 97.82 156 | 99.84 57 | 99.81 34 |
|
PVSNet_Blended_VisFu | | | 99.36 38 | 99.28 38 | 99.61 66 | 99.86 20 | 99.07 102 | 99.47 137 | 99.93 2 | 97.66 136 | 99.71 29 | 99.86 22 | 97.73 86 | 99.96 19 | 99.47 13 | 99.82 65 | 99.79 43 |
|
UGNet | | | 98.87 97 | 98.69 105 | 99.40 102 | 99.22 179 | 98.72 160 | 99.44 145 | 99.68 19 | 99.24 3 | 99.18 152 | 99.42 200 | 92.74 239 | 99.96 19 | 99.34 22 | 99.94 10 | 99.53 116 |
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 |
CSCG | | | 99.32 42 | 99.32 26 | 99.32 109 | 99.85 23 | 98.29 191 | 99.71 41 | 99.66 25 | 98.11 86 | 99.41 90 | 99.80 64 | 98.37 67 | 99.96 19 | 98.99 50 | 99.96 5 | 99.72 69 |
|
ACMMP | | | 99.45 22 | 99.32 26 | 99.82 24 | 99.89 8 | 99.67 32 | 99.62 74 | 99.69 18 | 98.12 84 | 99.63 50 | 99.84 35 | 98.73 46 | 99.96 19 | 98.55 103 | 99.83 61 | 99.81 34 |
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 |
CANet | | | 99.25 52 | 99.14 51 | 99.59 68 | 99.41 138 | 99.16 92 | 99.35 183 | 99.57 43 | 98.82 35 | 99.51 72 | 99.61 146 | 96.46 117 | 99.95 33 | 99.59 2 | 99.98 2 | 99.65 88 |
|
MP-MVS-pluss | | | 99.37 37 | 99.20 46 | 99.88 4 | 99.90 3 | 99.87 2 | 99.30 193 | 99.52 75 | 97.18 174 | 99.60 56 | 99.79 72 | 98.79 35 | 99.95 33 | 98.83 68 | 99.91 17 | 99.83 23 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
HSP-MVS | | | 99.41 32 | 99.26 43 | 99.85 17 | 99.89 8 | 99.80 12 | 99.67 55 | 99.37 190 | 98.70 45 | 99.77 23 | 99.49 179 | 98.21 73 | 99.95 33 | 98.46 111 | 99.77 74 | 99.81 34 |
|
mvs-test1 | | | 98.86 100 | 98.84 90 | 98.89 166 | 99.33 155 | 97.77 214 | 99.44 145 | 99.30 220 | 98.47 57 | 99.10 162 | 99.43 198 | 96.78 108 | 99.95 33 | 98.73 77 | 99.02 132 | 98.96 179 |
|
testdata2 | | | | | | | | | | | | | | 99.95 33 | 96.67 236 | | |
|
APD-MVS_3200maxsize | | | 99.48 17 | 99.35 22 | 99.85 17 | 99.76 41 | 99.83 7 | 99.63 71 | 99.54 61 | 98.36 65 | 99.79 18 | 99.82 44 | 98.86 29 | 99.95 33 | 98.62 90 | 99.81 66 | 99.78 47 |
|
sss | | | 99.17 58 | 99.05 58 | 99.53 79 | 99.62 98 | 98.97 116 | 99.36 179 | 99.62 31 | 97.83 117 | 99.67 40 | 99.65 127 | 97.37 95 | 99.95 33 | 99.19 33 | 99.19 120 | 99.68 81 |
|
TSAR-MVS + MP. | | | 99.58 3 | 99.50 7 | 99.81 27 | 99.91 1 | 99.66 34 | 99.63 71 | 99.39 177 | 98.91 29 | 99.78 22 | 99.85 26 | 99.36 2 | 99.94 40 | 98.84 66 | 99.88 34 | 99.82 30 |
|
Regformer-4 | | | 99.59 2 | 99.54 4 | 99.73 45 | 99.76 41 | 99.41 70 | 99.58 87 | 99.49 103 | 99.02 10 | 99.88 3 | 99.80 64 | 99.00 17 | 99.94 40 | 99.45 15 | 99.92 12 | 99.84 12 |
|
Regformer-2 | | | 99.54 7 | 99.47 8 | 99.75 38 | 99.71 68 | 99.52 58 | 99.49 128 | 99.49 103 | 98.94 26 | 99.83 11 | 99.76 85 | 99.01 11 | 99.94 40 | 99.15 38 | 99.87 38 | 99.80 39 |
|
XVS | | | 99.53 9 | 99.42 11 | 99.87 6 | 99.85 23 | 99.83 7 | 99.69 44 | 99.68 19 | 98.98 19 | 99.37 99 | 99.74 95 | 98.81 33 | 99.94 40 | 98.79 72 | 99.86 48 | 99.84 12 |
|
X-MVStestdata | | | 96.55 255 | 95.45 276 | 99.87 6 | 99.85 23 | 99.83 7 | 99.69 44 | 99.68 19 | 98.98 19 | 99.37 99 | 64.01 340 | 98.81 33 | 99.94 40 | 98.79 72 | 99.86 48 | 99.84 12 |
|
旧先验2 | | | | | | | | 98.96 277 | | 96.70 205 | 99.47 78 | | | 99.94 40 | 98.19 127 | | |
|
æ–°å‡ ä½•1 | | | | | 99.75 38 | 99.75 47 | 99.59 46 | | 99.54 61 | 96.76 201 | 99.29 117 | 99.64 134 | 98.43 61 | 99.94 40 | 96.92 225 | 99.66 95 | 99.72 69 |
|
testdata | | | | | 99.54 75 | 99.75 47 | 98.95 121 | | 99.51 84 | 97.07 185 | 99.43 85 | 99.70 106 | 98.87 28 | 99.94 40 | 97.76 162 | 99.64 98 | 99.72 69 |
|
HPM-MVS | | | 99.42 29 | 99.28 38 | 99.83 22 | 99.90 3 | 99.72 25 | 99.81 15 | 99.54 61 | 97.59 138 | 99.68 34 | 99.63 138 | 98.91 26 | 99.94 40 | 98.58 95 | 99.91 17 | 99.84 12 |
|
CHOSEN 1792x2688 | | | 99.19 55 | 99.10 55 | 99.45 94 | 99.89 8 | 98.52 180 | 99.39 168 | 99.94 1 | 98.73 44 | 99.11 159 | 99.89 10 | 95.50 143 | 99.94 40 | 99.50 8 | 99.97 3 | 99.89 2 |
|
APD-MVS | | | 99.27 49 | 99.08 56 | 99.84 21 | 99.75 47 | 99.79 16 | 99.50 121 | 99.50 98 | 97.16 176 | 99.77 23 | 99.82 44 | 98.78 36 | 99.94 40 | 97.56 181 | 99.86 48 | 99.80 39 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
DELS-MVS | | | 99.48 17 | 99.42 11 | 99.65 57 | 99.72 65 | 99.40 72 | 99.05 253 | 99.66 25 | 99.14 6 | 99.57 63 | 99.80 64 | 98.46 59 | 99.94 40 | 99.57 4 | 99.84 57 | 99.60 102 |
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 |
WTY-MVS | | | 99.06 79 | 98.88 83 | 99.61 66 | 99.62 98 | 99.16 92 | 99.37 175 | 99.56 47 | 98.04 99 | 99.53 68 | 99.62 143 | 96.84 106 | 99.94 40 | 98.85 65 | 98.49 165 | 99.72 69 |
|
DeepC-MVS | | 98.35 2 | 99.30 44 | 99.19 47 | 99.64 62 | 99.82 29 | 99.23 88 | 99.62 74 | 99.55 54 | 98.94 26 | 99.63 50 | 99.95 2 | 95.82 136 | 99.94 40 | 99.37 17 | 99.97 3 | 99.73 63 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
LS3D | | | 99.27 49 | 99.12 53 | 99.74 43 | 99.18 186 | 99.75 21 | 99.56 100 | 99.57 43 | 98.45 59 | 99.49 76 | 99.85 26 | 97.77 85 | 99.94 40 | 98.33 121 | 99.84 57 | 99.52 117 |
|
ACMMP_Plus | | | 99.47 20 | 99.34 24 | 99.88 4 | 99.87 15 | 99.86 3 | 99.47 137 | 99.48 112 | 98.05 98 | 99.76 26 | 99.86 22 | 98.82 32 | 99.93 55 | 98.82 71 | 99.91 17 | 99.84 12 |
|
EI-MVSNet-UG-set | | | 99.58 3 | 99.57 1 | 99.64 62 | 99.78 34 | 99.14 96 | 99.60 81 | 99.45 147 | 99.01 13 | 99.90 1 | 99.83 37 | 98.98 18 | 99.93 55 | 99.59 2 | 99.95 6 | 99.86 5 |
|
Regformer-1 | | | 99.53 9 | 99.47 8 | 99.72 47 | 99.71 68 | 99.44 67 | 99.49 128 | 99.46 136 | 98.95 24 | 99.83 11 | 99.76 85 | 99.01 11 | 99.93 55 | 99.17 36 | 99.87 38 | 99.80 39 |
|
æ— å…ˆéªŒ | | | | | | | | 98.99 268 | 99.51 84 | 96.89 196 | | | | 99.93 55 | 97.53 184 | | 99.72 69 |
|
1121 | | | 99.09 75 | 98.87 84 | 99.75 38 | 99.74 57 | 99.60 44 | 99.27 203 | 99.48 112 | 96.82 200 | 99.25 130 | 99.65 127 | 98.38 65 | 99.93 55 | 97.53 184 | 99.67 94 | 99.73 63 |
|
VDDNet | | | 97.55 228 | 97.02 243 | 99.16 127 | 99.49 124 | 98.12 199 | 99.38 173 | 99.30 220 | 95.35 266 | 99.68 34 | 99.90 7 | 82.62 324 | 99.93 55 | 99.31 25 | 98.13 184 | 99.42 139 |
|
ab-mvs | | | 98.86 100 | 98.63 112 | 99.54 75 | 99.64 91 | 99.19 89 | 99.44 145 | 99.54 61 | 97.77 123 | 99.30 113 | 99.81 53 | 94.20 206 | 99.93 55 | 99.17 36 | 98.82 149 | 99.49 124 |
|
F-COLMAP | | | 99.19 55 | 99.04 61 | 99.64 62 | 99.78 34 | 99.27 84 | 99.42 157 | 99.54 61 | 97.29 165 | 99.41 90 | 99.59 151 | 98.42 64 | 99.93 55 | 98.19 127 | 99.69 90 | 99.73 63 |
|
EI-MVSNet-Vis-set | | | 99.58 3 | 99.56 3 | 99.64 62 | 99.78 34 | 99.15 95 | 99.61 80 | 99.45 147 | 99.01 13 | 99.89 2 | 99.82 44 | 99.01 11 | 99.92 63 | 99.56 5 | 99.95 6 | 99.85 8 |
|
VDD-MVS | | | 97.73 213 | 97.35 224 | 98.88 173 | 99.47 128 | 97.12 228 | 99.34 186 | 98.85 284 | 98.19 76 | 99.67 40 | 99.85 26 | 82.98 322 | 99.92 63 | 99.49 12 | 98.32 171 | 99.60 102 |
|
VNet | | | 99.11 71 | 98.90 80 | 99.73 45 | 99.52 115 | 99.56 49 | 99.41 161 | 99.39 177 | 99.01 13 | 99.74 28 | 99.78 77 | 95.56 141 | 99.92 63 | 99.52 7 | 98.18 180 | 99.72 69 |
|
XVG-OURS-SEG-HR | | | 98.69 120 | 98.62 115 | 98.89 166 | 99.71 68 | 97.74 215 | 99.12 236 | 99.54 61 | 98.44 62 | 99.42 88 | 99.71 103 | 94.20 206 | 99.92 63 | 98.54 105 | 98.90 144 | 99.00 173 |
|
HPM-MVS_fast | | | 99.51 12 | 99.40 14 | 99.85 17 | 99.91 1 | 99.79 16 | 99.76 27 | 99.56 47 | 97.72 129 | 99.76 26 | 99.75 90 | 99.13 6 | 99.92 63 | 99.07 44 | 99.92 12 | 99.85 8 |
|
HY-MVS | | 97.30 7 | 98.85 106 | 98.64 111 | 99.47 91 | 99.42 135 | 99.08 101 | 99.62 74 | 99.36 191 | 97.39 158 | 99.28 121 | 99.68 116 | 96.44 118 | 99.92 63 | 98.37 117 | 98.22 176 | 99.40 141 |
|
DP-MVS | | | 99.16 60 | 98.95 75 | 99.78 33 | 99.77 38 | 99.53 55 | 99.41 161 | 99.50 98 | 97.03 189 | 99.04 174 | 99.88 14 | 97.39 92 | 99.92 63 | 98.66 85 | 99.90 24 | 99.87 4 |
|
IB-MVS | | 95.67 18 | 96.22 269 | 95.44 277 | 98.57 205 | 99.21 180 | 96.70 252 | 98.65 303 | 97.74 326 | 96.71 204 | 97.27 275 | 98.54 291 | 86.03 312 | 99.92 63 | 98.47 110 | 86.30 323 | 99.10 158 |
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 |
DeepC-MVS_fast | | 98.69 1 | 99.49 13 | 99.39 15 | 99.77 35 | 99.63 94 | 99.59 46 | 99.36 179 | 99.46 136 | 99.07 9 | 99.79 18 | 99.82 44 | 98.85 30 | 99.92 63 | 98.68 84 | 99.87 38 | 99.82 30 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
TEST9 | | | | | | 99.67 78 | 99.65 37 | 99.05 253 | 99.41 167 | 96.22 243 | 98.95 188 | 99.49 179 | 98.77 39 | 99.91 72 | | | |
|
train_agg | | | 99.02 85 | 98.77 97 | 99.77 35 | 99.67 78 | 99.65 37 | 99.05 253 | 99.41 167 | 96.28 236 | 98.95 188 | 99.49 179 | 98.76 41 | 99.91 72 | 97.63 175 | 99.72 83 | 99.75 53 |
|
test_8 | | | | | | 99.67 78 | 99.61 42 | 99.03 259 | 99.41 167 | 96.28 236 | 98.93 191 | 99.48 185 | 98.76 41 | 99.91 72 | | | |
|
agg_prior3 | | | 98.97 92 | 98.71 103 | 99.75 38 | 99.67 78 | 99.60 44 | 99.04 258 | 99.41 167 | 95.93 258 | 98.87 198 | 99.48 185 | 98.61 53 | 99.91 72 | 97.63 175 | 99.72 83 | 99.75 53 |
|
agg_prior1 | | | 99.01 88 | 98.76 99 | 99.76 37 | 99.67 78 | 99.62 40 | 98.99 268 | 99.40 174 | 96.26 239 | 98.87 198 | 99.49 179 | 98.77 39 | 99.91 72 | 97.69 172 | 99.72 83 | 99.75 53 |
|
agg_prior | | | | | | 99.67 78 | 99.62 40 | | 99.40 174 | | 98.87 198 | | | 99.91 72 | | | |
|
Regformer-3 | | | 99.57 6 | 99.53 5 | 99.68 50 | 99.76 41 | 99.29 81 | 99.58 87 | 99.44 155 | 99.01 13 | 99.87 6 | 99.80 64 | 98.97 19 | 99.91 72 | 99.44 16 | 99.92 12 | 99.83 23 |
|
原ACMM1 | | | | | 99.65 57 | 99.73 62 | 99.33 76 | | 99.47 126 | 97.46 149 | 99.12 157 | 99.66 126 | 98.67 51 | 99.91 72 | 97.70 171 | 99.69 90 | 99.71 76 |
|
LFMVS | | | 97.90 189 | 97.35 224 | 99.54 75 | 99.52 115 | 99.01 109 | 99.39 168 | 98.24 316 | 97.10 184 | 99.65 48 | 99.79 72 | 84.79 318 | 99.91 72 | 99.28 27 | 98.38 169 | 99.69 77 |
|
XVG-OURS | | | 98.73 117 | 98.68 106 | 98.88 173 | 99.70 73 | 97.73 216 | 98.92 284 | 99.55 54 | 98.52 55 | 99.45 81 | 99.84 35 | 95.27 149 | 99.91 72 | 98.08 138 | 98.84 148 | 99.00 173 |
|
PLC | | 97.94 4 | 99.02 85 | 98.85 89 | 99.53 79 | 99.66 88 | 99.01 109 | 99.24 215 | 99.52 75 | 96.85 198 | 99.27 125 | 99.48 185 | 98.25 72 | 99.91 72 | 97.76 162 | 99.62 101 | 99.65 88 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
PCF-MVS | | 97.08 14 | 97.66 224 | 97.06 242 | 99.47 91 | 99.61 102 | 99.09 100 | 98.04 322 | 99.25 239 | 91.24 311 | 98.51 238 | 99.70 106 | 94.55 194 | 99.91 72 | 92.76 301 | 99.85 52 | 99.42 139 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
MCST-MVS | | | 99.43 27 | 99.30 33 | 99.82 24 | 99.79 33 | 99.74 24 | 99.29 197 | 99.40 174 | 98.79 40 | 99.52 70 | 99.62 143 | 98.91 26 | 99.90 84 | 98.64 87 | 99.75 77 | 99.82 30 |
|
CDPH-MVS | | | 99.13 62 | 98.91 79 | 99.80 29 | 99.75 47 | 99.71 26 | 99.15 232 | 99.41 167 | 96.60 213 | 99.60 56 | 99.55 163 | 98.83 31 | 99.90 84 | 97.48 189 | 99.83 61 | 99.78 47 |
|
NCCC | | | 99.34 40 | 99.19 47 | 99.79 32 | 99.61 102 | 99.65 37 | 99.30 193 | 99.48 112 | 98.86 31 | 99.21 144 | 99.63 138 | 98.72 47 | 99.90 84 | 98.25 125 | 99.63 100 | 99.80 39 |
|
114514_t | | | 98.93 94 | 98.67 107 | 99.72 47 | 99.85 23 | 99.53 55 | 99.62 74 | 99.59 37 | 92.65 304 | 99.71 29 | 99.78 77 | 98.06 78 | 99.90 84 | 98.84 66 | 99.91 17 | 99.74 58 |
|
1112_ss | | | 98.98 90 | 98.77 97 | 99.59 68 | 99.68 77 | 99.02 107 | 99.25 213 | 99.48 112 | 97.23 171 | 99.13 155 | 99.58 154 | 96.93 105 | 99.90 84 | 98.87 61 | 98.78 152 | 99.84 12 |
|
PHI-MVS | | | 99.30 44 | 99.17 49 | 99.70 49 | 99.56 112 | 99.52 58 | 99.58 87 | 99.80 8 | 97.12 180 | 99.62 53 | 99.73 98 | 98.58 55 | 99.90 84 | 98.61 92 | 99.91 17 | 99.68 81 |
|
AdaColmap | | | 99.01 88 | 98.80 94 | 99.66 53 | 99.56 112 | 99.54 52 | 99.18 227 | 99.70 15 | 98.18 79 | 99.35 106 | 99.63 138 | 96.32 121 | 99.90 84 | 97.48 189 | 99.77 74 | 99.55 110 |
|
COLMAP_ROB | | 97.56 6 | 98.86 100 | 98.75 100 | 99.17 126 | 99.88 11 | 98.53 177 | 99.34 186 | 99.59 37 | 97.55 143 | 98.70 221 | 99.89 10 | 95.83 135 | 99.90 84 | 98.10 133 | 99.90 24 | 99.08 163 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
view600 | | | 97.97 178 | 97.66 187 | 98.89 166 | 99.75 47 | 97.81 209 | 99.69 44 | 98.80 288 | 98.02 102 | 99.25 130 | 98.88 272 | 91.95 257 | 99.89 92 | 94.36 281 | 98.29 172 | 98.96 179 |
|
view800 | | | 97.97 178 | 97.66 187 | 98.89 166 | 99.75 47 | 97.81 209 | 99.69 44 | 98.80 288 | 98.02 102 | 99.25 130 | 98.88 272 | 91.95 257 | 99.89 92 | 94.36 281 | 98.29 172 | 98.96 179 |
|
conf0.05thres1000 | | | 97.97 178 | 97.66 187 | 98.89 166 | 99.75 47 | 97.81 209 | 99.69 44 | 98.80 288 | 98.02 102 | 99.25 130 | 98.88 272 | 91.95 257 | 99.89 92 | 94.36 281 | 98.29 172 | 98.96 179 |
|
tfpn | | | 97.97 178 | 97.66 187 | 98.89 166 | 99.75 47 | 97.81 209 | 99.69 44 | 98.80 288 | 98.02 102 | 99.25 130 | 98.88 272 | 91.95 257 | 99.89 92 | 94.36 281 | 98.29 172 | 98.96 179 |
|
test12 | | | | | 99.75 38 | 99.64 91 | 99.61 42 | | 99.29 224 | | 99.21 144 | | 98.38 65 | 99.89 92 | | 99.74 79 | 99.74 58 |
|
Test_1112_low_res | | | 98.89 96 | 98.66 110 | 99.57 72 | 99.69 75 | 98.95 121 | 99.03 259 | 99.47 126 | 96.98 191 | 99.15 154 | 99.23 246 | 96.77 110 | 99.89 92 | 98.83 68 | 98.78 152 | 99.86 5 |
|
CNLPA | | | 99.14 61 | 98.99 68 | 99.59 68 | 99.58 107 | 99.41 70 | 99.16 229 | 99.44 155 | 98.45 59 | 99.19 150 | 99.49 179 | 98.08 77 | 99.89 92 | 97.73 166 | 99.75 77 | 99.48 126 |
|
PVSNet_BlendedMVS | | | 98.86 100 | 98.80 94 | 99.03 137 | 99.76 41 | 98.79 155 | 99.28 200 | 99.91 3 | 97.42 155 | 99.67 40 | 99.37 215 | 97.53 89 | 99.88 99 | 98.98 51 | 97.29 222 | 98.42 280 |
|
PVSNet_Blended | | | 99.08 77 | 98.97 71 | 99.42 101 | 99.76 41 | 98.79 155 | 98.78 293 | 99.91 3 | 96.74 202 | 99.67 40 | 99.49 179 | 97.53 89 | 99.88 99 | 98.98 51 | 99.85 52 | 99.60 102 |
|
MVS | | | 97.28 244 | 96.55 251 | 99.48 88 | 98.78 265 | 98.95 121 | 99.27 203 | 99.39 177 | 83.53 324 | 98.08 258 | 99.54 166 | 96.97 103 | 99.87 101 | 94.23 289 | 99.16 121 | 99.63 98 |
|
MG-MVS | | | 99.13 62 | 99.02 66 | 99.45 94 | 99.57 109 | 98.63 168 | 99.07 247 | 99.34 203 | 98.99 18 | 99.61 55 | 99.82 44 | 97.98 80 | 99.87 101 | 97.00 217 | 99.80 68 | 99.85 8 |
|
MSDG | | | 98.98 90 | 98.80 94 | 99.53 79 | 99.76 41 | 99.19 89 | 98.75 296 | 99.55 54 | 97.25 168 | 99.47 78 | 99.77 82 | 97.82 83 | 99.87 101 | 96.93 224 | 99.90 24 | 99.54 112 |
|
thres600view7 | | | 97.86 192 | 97.51 202 | 98.92 156 | 99.72 65 | 97.95 205 | 99.59 83 | 98.74 296 | 97.94 109 | 99.27 125 | 98.62 287 | 91.75 263 | 99.86 104 | 93.73 293 | 98.19 179 | 98.96 179 |
|
lupinMVS | | | 99.13 62 | 99.01 67 | 99.46 93 | 99.51 117 | 98.94 124 | 99.05 253 | 99.16 248 | 97.86 112 | 99.80 16 | 99.56 160 | 97.39 92 | 99.86 104 | 98.94 54 | 99.85 52 | 99.58 108 |
|
PVSNet | | 96.02 17 | 98.85 106 | 98.84 90 | 98.89 166 | 99.73 62 | 97.28 221 | 98.32 315 | 99.60 34 | 97.86 112 | 99.50 73 | 99.57 158 | 96.75 111 | 99.86 104 | 98.56 100 | 99.70 89 | 99.54 112 |
|
MAR-MVS | | | 98.86 100 | 98.63 112 | 99.54 75 | 99.37 148 | 99.66 34 | 99.45 141 | 99.54 61 | 96.61 211 | 99.01 177 | 99.40 207 | 97.09 100 | 99.86 104 | 97.68 174 | 99.53 103 | 99.10 158 |
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 |
AllTest | | | 98.87 97 | 98.72 101 | 99.31 110 | 99.86 20 | 98.48 185 | 99.56 100 | 99.61 32 | 97.85 114 | 99.36 103 | 99.85 26 | 95.95 129 | 99.85 108 | 96.66 237 | 99.83 61 | 99.59 106 |
|
TestCases | | | | | 99.31 110 | 99.86 20 | 98.48 185 | | 99.61 32 | 97.85 114 | 99.36 103 | 99.85 26 | 95.95 129 | 99.85 108 | 96.66 237 | 99.83 61 | 99.59 106 |
|
jason | | | 99.13 62 | 99.03 63 | 99.45 94 | 99.46 129 | 98.87 132 | 99.12 236 | 99.26 237 | 98.03 101 | 99.79 18 | 99.65 127 | 97.02 102 | 99.85 108 | 99.02 48 | 99.90 24 | 99.65 88 |
jason: jason. |
CNVR-MVS | | | 99.42 29 | 99.30 33 | 99.78 33 | 99.62 98 | 99.71 26 | 99.26 211 | 99.52 75 | 98.82 35 | 99.39 95 | 99.71 103 | 98.96 20 | 99.85 108 | 98.59 94 | 99.80 68 | 99.77 49 |
|
PAPM_NR | | | 99.04 82 | 98.84 90 | 99.66 53 | 99.74 57 | 99.44 67 | 99.39 168 | 99.38 183 | 97.70 132 | 99.28 121 | 99.28 240 | 98.34 68 | 99.85 108 | 96.96 221 | 99.45 104 | 99.69 77 |
|
Fast-Effi-MVS+ | | | 98.70 119 | 98.43 126 | 99.51 85 | 99.51 117 | 99.28 82 | 99.52 112 | 99.47 126 | 96.11 253 | 99.01 177 | 99.34 229 | 96.20 125 | 99.84 113 | 97.88 151 | 98.82 149 | 99.39 142 |
|
TSAR-MVS + GP. | | | 99.36 38 | 99.36 19 | 99.36 104 | 99.67 78 | 98.61 173 | 99.07 247 | 99.33 211 | 99.00 17 | 99.82 14 | 99.81 53 | 99.06 8 | 99.84 113 | 99.09 42 | 99.42 106 | 99.65 88 |
|
tpmrst | | | 98.33 138 | 98.48 125 | 97.90 264 | 99.16 193 | 94.78 291 | 99.31 191 | 99.11 253 | 97.27 166 | 99.45 81 | 99.59 151 | 95.33 146 | 99.84 113 | 98.48 108 | 98.61 155 | 99.09 162 |
|
Vis-MVSNet | | | 99.12 67 | 98.97 71 | 99.56 74 | 99.78 34 | 99.10 99 | 99.68 53 | 99.66 25 | 98.49 56 | 99.86 7 | 99.87 19 | 94.77 183 | 99.84 113 | 99.19 33 | 99.41 107 | 99.74 58 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
PAPR | | | 98.63 126 | 98.34 131 | 99.51 85 | 99.40 143 | 99.03 106 | 98.80 292 | 99.36 191 | 96.33 233 | 99.00 184 | 99.12 256 | 98.46 59 | 99.84 113 | 95.23 266 | 99.37 112 | 99.66 85 |
|
PatchMatch-RL | | | 98.84 108 | 98.62 115 | 99.52 83 | 99.71 68 | 99.28 82 | 99.06 251 | 99.77 9 | 97.74 127 | 99.50 73 | 99.53 167 | 95.41 145 | 99.84 113 | 97.17 209 | 99.64 98 | 99.44 136 |
|
EPP-MVSNet | | | 99.13 62 | 98.99 68 | 99.53 79 | 99.65 90 | 99.06 103 | 99.81 15 | 99.33 211 | 97.43 153 | 99.60 56 | 99.88 14 | 97.14 99 | 99.84 113 | 99.13 39 | 98.94 139 | 99.69 77 |
|
test_normal | | | 97.44 239 | 96.77 249 | 99.44 97 | 97.75 303 | 99.00 111 | 99.10 244 | 98.64 305 | 97.71 130 | 93.93 307 | 98.82 279 | 87.39 308 | 99.83 120 | 98.61 92 | 98.97 136 | 99.49 124 |
|
test_prior3 | | | 99.21 54 | 99.05 58 | 99.68 50 | 99.67 78 | 99.48 62 | 98.96 277 | 99.56 47 | 98.34 66 | 99.01 177 | 99.52 171 | 98.68 49 | 99.83 120 | 97.96 145 | 99.74 79 | 99.74 58 |
|
test_prior | | | | | 99.68 50 | 99.67 78 | 99.48 62 | | 99.56 47 | | | | | 99.83 120 | | | 99.74 58 |
|
1314 | | | 98.68 121 | 98.54 123 | 99.11 131 | 98.89 248 | 98.65 166 | 99.27 203 | 99.49 103 | 96.89 196 | 97.99 263 | 99.56 160 | 97.72 87 | 99.83 120 | 97.74 165 | 99.27 116 | 98.84 189 |
|
thres400 | | | 97.77 206 | 97.38 221 | 98.92 156 | 99.69 75 | 97.96 204 | 99.50 121 | 98.73 302 | 97.83 117 | 99.17 153 | 98.45 293 | 91.67 266 | 99.83 120 | 93.22 297 | 98.18 180 | 98.96 179 |
|
DI_MVS_plusplus_test | | | 97.45 238 | 96.79 247 | 99.44 97 | 97.76 302 | 99.04 105 | 99.21 223 | 98.61 308 | 97.74 127 | 94.01 304 | 98.83 278 | 87.38 309 | 99.83 120 | 98.63 88 | 98.90 144 | 99.44 136 |
|
MVS_Test | | | 99.10 74 | 98.97 71 | 99.48 88 | 99.49 124 | 99.14 96 | 99.67 55 | 99.34 203 | 97.31 163 | 99.58 60 | 99.76 85 | 97.65 88 | 99.82 126 | 98.87 61 | 99.07 129 | 99.46 133 |
|
dp | | | 97.75 210 | 97.80 169 | 97.59 278 | 99.10 204 | 93.71 303 | 99.32 188 | 98.88 282 | 96.48 224 | 99.08 167 | 99.55 163 | 92.67 244 | 99.82 126 | 96.52 241 | 98.58 158 | 99.24 152 |
|
RPSCF | | | 98.22 143 | 98.62 115 | 96.99 287 | 99.82 29 | 91.58 314 | 99.72 39 | 99.44 155 | 96.61 211 | 99.66 45 | 99.89 10 | 95.92 132 | 99.82 126 | 97.46 192 | 99.10 126 | 99.57 109 |
|
PMMVS | | | 98.80 112 | 98.62 115 | 99.34 105 | 99.27 172 | 98.70 161 | 98.76 295 | 99.31 218 | 97.34 160 | 99.21 144 | 99.07 258 | 97.20 98 | 99.82 126 | 98.56 100 | 98.87 146 | 99.52 117 |
|
Effi-MVS+ | | | 98.81 109 | 98.59 120 | 99.48 88 | 99.46 129 | 99.12 98 | 98.08 321 | 99.50 98 | 97.50 148 | 99.38 97 | 99.41 203 | 96.37 120 | 99.81 130 | 99.11 41 | 98.54 162 | 99.51 120 |
|
thres200 | | | 97.61 226 | 97.28 234 | 98.62 201 | 99.64 91 | 98.03 200 | 99.26 211 | 98.74 296 | 97.68 134 | 99.09 166 | 98.32 294 | 91.66 267 | 99.81 130 | 92.88 300 | 98.22 176 | 98.03 293 |
|
tpmvs | | | 97.98 175 | 98.02 152 | 97.84 268 | 99.04 214 | 94.73 293 | 99.31 191 | 99.20 244 | 96.10 256 | 98.76 211 | 99.42 200 | 94.94 166 | 99.81 130 | 96.97 220 | 98.45 166 | 98.97 177 |
|
DeepPCF-MVS | | 98.18 3 | 98.81 109 | 99.37 17 | 97.12 286 | 99.60 104 | 91.75 313 | 98.61 304 | 99.44 155 | 99.35 1 | 99.83 11 | 99.85 26 | 98.70 48 | 99.81 130 | 99.02 48 | 99.91 17 | 99.81 34 |
|
PatchFormer-LS_test | | | 98.01 173 | 98.05 150 | 97.87 265 | 99.15 196 | 94.76 292 | 99.42 157 | 98.93 273 | 97.12 180 | 98.84 204 | 98.59 289 | 93.74 225 | 99.80 134 | 98.55 103 | 98.17 182 | 99.06 168 |
|
DP-MVS Recon | | | 99.12 67 | 98.95 75 | 99.65 57 | 99.74 57 | 99.70 28 | 99.27 203 | 99.57 43 | 96.40 231 | 99.42 88 | 99.68 116 | 98.75 44 | 99.80 134 | 97.98 144 | 99.72 83 | 99.44 136 |
|
MVS_111021_LR | | | 99.41 32 | 99.33 25 | 99.65 57 | 99.77 38 | 99.51 60 | 98.94 283 | 99.85 6 | 98.82 35 | 99.65 48 | 99.74 95 | 98.51 56 | 99.80 134 | 98.83 68 | 99.89 32 | 99.64 94 |
|
Fast-Effi-MVS+-dtu | | | 98.77 115 | 98.83 93 | 98.60 202 | 99.41 138 | 96.99 240 | 99.52 112 | 99.49 103 | 98.11 86 | 99.24 135 | 99.34 229 | 96.96 104 | 99.79 137 | 97.95 147 | 99.45 104 | 99.02 172 |
|
PVSNet_0 | | 94.43 19 | 96.09 273 | 95.47 275 | 97.94 260 | 99.31 163 | 94.34 297 | 97.81 323 | 99.70 15 | 97.12 180 | 97.46 272 | 98.75 284 | 89.71 285 | 99.79 137 | 97.69 172 | 81.69 327 | 99.68 81 |
|
API-MVS | | | 99.04 82 | 99.03 63 | 99.06 134 | 99.40 143 | 99.31 80 | 99.55 105 | 99.56 47 | 98.54 53 | 99.33 110 | 99.39 211 | 98.76 41 | 99.78 139 | 96.98 219 | 99.78 72 | 98.07 289 |
|
OMC-MVS | | | 99.08 77 | 99.04 61 | 99.20 125 | 99.67 78 | 98.22 194 | 99.28 200 | 99.52 75 | 98.07 93 | 99.66 45 | 99.81 53 | 97.79 84 | 99.78 139 | 97.79 158 | 99.81 66 | 99.60 102 |
|
alignmvs | | | 98.81 109 | 98.56 122 | 99.58 71 | 99.43 134 | 99.42 69 | 99.51 116 | 98.96 271 | 98.61 50 | 99.35 106 | 98.92 271 | 94.78 179 | 99.77 141 | 99.35 18 | 98.11 185 | 99.54 112 |
|
tpm cat1 | | | 97.39 241 | 97.36 222 | 97.50 281 | 99.17 191 | 93.73 301 | 99.43 150 | 99.31 218 | 91.27 310 | 98.71 215 | 99.08 257 | 94.31 204 | 99.77 141 | 96.41 245 | 98.50 164 | 99.00 173 |
|
CostFormer | | | 97.72 215 | 97.73 183 | 97.71 276 | 99.15 196 | 94.02 299 | 99.54 108 | 99.02 265 | 94.67 274 | 99.04 174 | 99.35 226 | 92.35 255 | 99.77 141 | 98.50 107 | 97.94 190 | 99.34 146 |
|
MDTV_nov1_ep13 | | | | 98.32 133 | | 99.11 201 | 94.44 295 | 99.27 203 | 98.74 296 | 97.51 147 | 99.40 94 | 99.62 143 | 94.78 179 | 99.76 144 | 97.59 177 | 98.81 151 | |
|
canonicalmvs | | | 99.02 85 | 98.86 87 | 99.51 85 | 99.42 135 | 99.32 77 | 99.80 19 | 99.48 112 | 98.63 48 | 99.31 112 | 98.81 280 | 97.09 100 | 99.75 145 | 99.27 29 | 97.90 191 | 99.47 130 |
|
Effi-MVS+-dtu | | | 98.78 113 | 98.89 82 | 98.47 216 | 99.33 155 | 96.91 246 | 99.57 93 | 99.30 220 | 98.47 57 | 99.41 90 | 98.99 265 | 96.78 108 | 99.74 146 | 98.73 77 | 99.38 108 | 98.74 202 |
|
patchmatchnet-post | | | | | | | | | | | | 98.70 285 | 94.79 178 | 99.74 146 | | | |
|
diffmvs | | | 98.72 118 | 98.49 124 | 99.43 100 | 99.48 127 | 99.19 89 | 99.62 74 | 99.42 164 | 95.58 264 | 99.37 99 | 99.67 120 | 96.14 126 | 99.74 146 | 98.14 131 | 98.96 137 | 99.37 143 |
|
DWT-MVSNet_test | | | 97.53 230 | 97.40 219 | 97.93 261 | 99.03 216 | 94.86 290 | 99.57 93 | 98.63 306 | 96.59 215 | 98.36 247 | 98.79 281 | 89.32 288 | 99.74 146 | 98.14 131 | 98.16 183 | 99.20 154 |
|
tpmp4_e23 | | | 97.34 242 | 97.29 233 | 97.52 279 | 99.25 176 | 93.73 301 | 99.58 87 | 99.19 247 | 94.00 290 | 98.20 253 | 99.41 203 | 90.74 276 | 99.74 146 | 97.13 210 | 98.07 186 | 99.07 167 |
|
BH-untuned | | | 98.42 133 | 98.36 129 | 98.59 203 | 99.49 124 | 96.70 252 | 99.27 203 | 99.13 252 | 97.24 170 | 98.80 207 | 99.38 212 | 95.75 138 | 99.74 146 | 97.07 214 | 99.16 121 | 99.33 147 |
|
BH-RMVSNet | | | 98.41 134 | 98.08 147 | 99.40 102 | 99.41 138 | 98.83 139 | 99.30 193 | 98.77 292 | 97.70 132 | 98.94 190 | 99.65 127 | 92.91 235 | 99.74 146 | 96.52 241 | 99.55 102 | 99.64 94 |
|
MVS_111021_HR | | | 99.41 32 | 99.32 26 | 99.66 53 | 99.72 65 | 99.47 64 | 98.95 281 | 99.85 6 | 98.82 35 | 99.54 67 | 99.73 98 | 98.51 56 | 99.74 146 | 98.91 56 | 99.88 34 | 99.77 49 |
|
test_post | | | | | | | | | | | | 65.99 338 | 94.65 191 | 99.73 154 | | | |
|
XVG-ACMP-BASELINE | | | 97.83 196 | 97.71 185 | 98.20 246 | 99.11 201 | 96.33 264 | 99.41 161 | 99.52 75 | 98.06 97 | 99.05 173 | 99.50 176 | 89.64 286 | 99.73 154 | 97.73 166 | 97.38 219 | 98.53 273 |
|
HyFIR lowres test | | | 99.11 71 | 98.92 77 | 99.65 57 | 99.90 3 | 99.37 73 | 99.02 262 | 99.91 3 | 97.67 135 | 99.59 59 | 99.75 90 | 95.90 133 | 99.73 154 | 99.53 6 | 99.02 132 | 99.86 5 |
|
DeepMVS_CX | | | | | 93.34 304 | 99.29 167 | 82.27 328 | | 99.22 242 | 85.15 322 | 96.33 287 | 99.05 261 | 90.97 274 | 99.73 154 | 93.57 294 | 97.77 194 | 98.01 294 |
|
Patchmatch-test | | | 97.93 184 | 97.65 192 | 98.77 193 | 99.18 186 | 97.07 233 | 99.03 259 | 99.14 251 | 96.16 248 | 98.74 212 | 99.57 158 | 94.56 193 | 99.72 158 | 93.36 296 | 99.11 124 | 99.52 117 |
|
LPG-MVS_test | | | 98.22 143 | 98.13 142 | 98.49 212 | 99.33 155 | 97.05 235 | 99.58 87 | 99.55 54 | 97.46 149 | 99.24 135 | 99.83 37 | 92.58 246 | 99.72 158 | 98.09 134 | 97.51 206 | 98.68 220 |
|
LGP-MVS_train | | | | | 98.49 212 | 99.33 155 | 97.05 235 | | 99.55 54 | 97.46 149 | 99.24 135 | 99.83 37 | 92.58 246 | 99.72 158 | 98.09 134 | 97.51 206 | 98.68 220 |
|
BH-w/o | | | 98.00 174 | 97.89 164 | 98.32 229 | 99.35 151 | 96.20 268 | 99.01 266 | 98.90 280 | 96.42 228 | 98.38 245 | 99.00 264 | 95.26 151 | 99.72 158 | 96.06 249 | 98.61 155 | 99.03 170 |
|
ACMP | | 97.20 11 | 98.06 159 | 97.94 158 | 98.45 218 | 99.37 148 | 97.01 238 | 99.44 145 | 99.49 103 | 97.54 146 | 98.45 242 | 99.79 72 | 91.95 257 | 99.72 158 | 97.91 149 | 97.49 211 | 98.62 255 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
LTVRE_ROB | | 97.16 12 | 98.02 170 | 97.90 160 | 98.40 224 | 99.23 177 | 96.80 250 | 99.70 42 | 99.60 34 | 97.12 180 | 98.18 254 | 99.70 106 | 91.73 264 | 99.72 158 | 98.39 114 | 97.45 213 | 98.68 220 |
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 |
test_post1 | | | | | | | | 99.23 216 | | | | 65.14 339 | 94.18 209 | 99.71 164 | 97.58 178 | | |
|
ADS-MVSNet | | | 98.20 146 | 98.08 147 | 98.56 207 | 99.33 155 | 96.48 259 | 99.23 216 | 99.15 249 | 96.24 241 | 99.10 162 | 99.67 120 | 94.11 211 | 99.71 164 | 96.81 228 | 99.05 130 | 99.48 126 |
|
JIA-IIPM | | | 97.50 235 | 97.02 243 | 98.93 151 | 98.73 271 | 97.80 213 | 99.30 193 | 98.97 269 | 91.73 309 | 98.91 193 | 94.86 325 | 95.10 158 | 99.71 164 | 97.58 178 | 97.98 189 | 99.28 150 |
|
EPMVS | | | 97.82 199 | 97.65 192 | 98.35 227 | 98.88 249 | 95.98 270 | 99.49 128 | 94.71 335 | 97.57 141 | 99.26 129 | 99.48 185 | 92.46 253 | 99.71 164 | 97.87 152 | 99.08 128 | 99.35 145 |
|
TDRefinement | | | 95.42 280 | 94.57 285 | 97.97 259 | 89.83 330 | 96.11 269 | 99.48 133 | 98.75 293 | 96.74 202 | 96.68 284 | 99.88 14 | 88.65 297 | 99.71 164 | 98.37 117 | 82.74 326 | 98.09 288 |
|
ACMM | | 97.58 5 | 98.37 137 | 98.34 131 | 98.48 214 | 99.41 138 | 97.10 229 | 99.56 100 | 99.45 147 | 98.53 54 | 99.04 174 | 99.85 26 | 93.00 231 | 99.71 164 | 98.74 75 | 97.45 213 | 98.64 247 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
CHOSEN 280x420 | | | 99.12 67 | 99.13 52 | 99.08 132 | 99.66 88 | 97.89 206 | 98.43 311 | 99.71 13 | 98.88 30 | 99.62 53 | 99.76 85 | 96.63 114 | 99.70 170 | 99.46 14 | 99.99 1 | 99.66 85 |
|
PatchmatchNet | | | 98.31 139 | 98.36 129 | 98.19 247 | 99.16 193 | 95.32 283 | 99.27 203 | 98.92 275 | 97.37 159 | 99.37 99 | 99.58 154 | 94.90 171 | 99.70 170 | 97.43 195 | 99.21 118 | 99.54 112 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
ACMH | | 97.28 8 | 98.10 156 | 97.99 154 | 98.44 221 | 99.41 138 | 96.96 244 | 99.60 81 | 99.56 47 | 98.09 89 | 98.15 255 | 99.91 5 | 90.87 275 | 99.70 170 | 98.88 57 | 97.45 213 | 98.67 231 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
HQP_MVS | | | 98.27 142 | 98.22 139 | 98.44 221 | 99.29 167 | 96.97 242 | 99.39 168 | 99.47 126 | 98.97 22 | 99.11 159 | 99.61 146 | 92.71 241 | 99.69 173 | 97.78 159 | 97.63 196 | 98.67 231 |
|
plane_prior5 | | | | | | | | | 99.47 126 | | | | | 99.69 173 | 97.78 159 | 97.63 196 | 98.67 231 |
|
IS-MVSNet | | | 99.05 81 | 98.87 84 | 99.57 72 | 99.73 62 | 99.32 77 | 99.75 34 | 99.20 244 | 98.02 102 | 99.56 64 | 99.86 22 | 96.54 116 | 99.67 175 | 98.09 134 | 99.13 123 | 99.73 63 |
|
CLD-MVS | | | 98.16 149 | 98.10 144 | 98.33 228 | 99.29 167 | 96.82 249 | 98.75 296 | 99.44 155 | 97.83 117 | 99.13 155 | 99.55 163 | 92.92 233 | 99.67 175 | 98.32 123 | 97.69 195 | 98.48 276 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
OPM-MVS | | | 98.19 147 | 98.10 144 | 98.45 218 | 98.88 249 | 97.07 233 | 99.28 200 | 99.38 183 | 98.57 52 | 99.22 142 | 99.81 53 | 92.12 256 | 99.66 177 | 98.08 138 | 97.54 205 | 98.61 264 |
|
ACMH+ | | 97.24 10 | 97.92 187 | 97.78 172 | 98.32 229 | 99.46 129 | 96.68 254 | 99.56 100 | 99.54 61 | 98.41 63 | 97.79 270 | 99.87 19 | 90.18 282 | 99.66 177 | 98.05 142 | 97.18 226 | 98.62 255 |
|
VPA-MVSNet | | | 98.29 140 | 97.95 157 | 99.30 113 | 99.16 193 | 99.54 52 | 99.50 121 | 99.58 42 | 98.27 71 | 99.35 106 | 99.37 215 | 92.53 248 | 99.65 179 | 99.35 18 | 94.46 276 | 98.72 204 |
|
TR-MVS | | | 97.76 207 | 97.41 218 | 98.82 187 | 99.06 210 | 97.87 207 | 98.87 289 | 98.56 310 | 96.63 210 | 98.68 223 | 99.22 247 | 92.49 249 | 99.65 179 | 95.40 263 | 97.79 193 | 98.95 186 |
|
gm-plane-assit | | | | | | 98.54 289 | 92.96 308 | | | 94.65 275 | | 99.15 251 | | 99.64 181 | 97.56 181 | | |
|
HQP4-MVS | | | | | | | | | | | 98.66 224 | | | 99.64 181 | | | 98.64 247 |
|
HQP-MVS | | | 98.02 170 | 97.90 160 | 98.37 226 | 99.19 183 | 96.83 247 | 98.98 272 | 99.39 177 | 98.24 72 | 98.66 224 | 99.40 207 | 92.47 250 | 99.64 181 | 97.19 206 | 97.58 201 | 98.64 247 |
|
PAPM | | | 97.59 227 | 97.09 241 | 99.07 133 | 99.06 210 | 98.26 193 | 98.30 316 | 99.10 254 | 94.88 270 | 98.08 258 | 99.34 229 | 96.27 123 | 99.64 181 | 89.87 309 | 98.92 142 | 99.31 148 |
|
TAPA-MVS | | 97.07 15 | 97.74 212 | 97.34 227 | 98.94 148 | 99.70 73 | 97.53 218 | 99.25 213 | 99.51 84 | 91.90 308 | 99.30 113 | 99.63 138 | 98.78 36 | 99.64 181 | 88.09 315 | 99.87 38 | 99.65 88 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
XXY-MVS | | | 98.38 136 | 98.09 146 | 99.24 121 | 99.26 174 | 99.32 77 | 99.56 100 | 99.55 54 | 97.45 152 | 98.71 215 | 99.83 37 | 93.23 228 | 99.63 186 | 98.88 57 | 96.32 240 | 98.76 198 |
|
ITE_SJBPF | | | | | 98.08 251 | 99.29 167 | 96.37 262 | | 98.92 275 | 98.34 66 | 98.83 205 | 99.75 90 | 91.09 272 | 99.62 187 | 95.82 253 | 97.40 217 | 98.25 286 |
|
LF4IMVS | | | 97.52 231 | 97.46 209 | 97.70 277 | 98.98 224 | 95.55 276 | 99.29 197 | 98.82 287 | 98.07 93 | 98.66 224 | 99.64 134 | 89.97 283 | 99.61 188 | 97.01 216 | 96.68 230 | 97.94 297 |
|
Patchmatch-test1 | | | 98.16 149 | 98.14 141 | 98.22 244 | 99.30 164 | 95.55 276 | 99.07 247 | 98.97 269 | 97.57 141 | 99.43 85 | 99.60 149 | 92.72 240 | 99.60 189 | 97.38 197 | 99.20 119 | 99.50 123 |
|
tpm | | | 97.67 223 | 97.55 198 | 98.03 253 | 99.02 217 | 95.01 289 | 99.43 150 | 98.54 311 | 96.44 226 | 99.12 157 | 99.34 229 | 91.83 262 | 99.60 189 | 97.75 164 | 96.46 236 | 99.48 126 |
|
tpm2 | | | 97.44 239 | 97.34 227 | 97.74 275 | 99.15 196 | 94.36 296 | 99.45 141 | 98.94 272 | 93.45 299 | 98.90 195 | 99.44 197 | 91.35 270 | 99.59 191 | 97.31 200 | 98.07 186 | 99.29 149 |
|
MS-PatchMatch | | | 97.24 246 | 97.32 230 | 96.99 287 | 98.45 292 | 93.51 306 | 98.82 291 | 99.32 217 | 97.41 156 | 98.13 256 | 99.30 237 | 88.99 291 | 99.56 192 | 95.68 257 | 99.80 68 | 97.90 300 |
|
TinyColmap | | | 97.12 248 | 96.89 245 | 97.83 269 | 99.07 208 | 95.52 279 | 98.57 306 | 98.74 296 | 97.58 140 | 97.81 269 | 99.79 72 | 88.16 304 | 99.56 192 | 95.10 267 | 97.21 224 | 98.39 283 |
|
USDC | | | 97.34 242 | 97.20 238 | 97.75 274 | 99.07 208 | 95.20 285 | 98.51 309 | 99.04 263 | 97.99 107 | 98.31 250 | 99.86 22 | 89.02 290 | 99.55 194 | 95.67 258 | 97.36 220 | 98.49 275 |
|
MSLP-MVS++ | | | 99.46 21 | 99.47 8 | 99.44 97 | 99.60 104 | 99.16 92 | 99.41 161 | 99.71 13 | 98.98 19 | 99.45 81 | 99.78 77 | 99.19 4 | 99.54 195 | 99.28 27 | 99.84 57 | 99.63 98 |
|
TAMVS | | | 99.12 67 | 99.08 56 | 99.24 121 | 99.46 129 | 98.55 175 | 99.51 116 | 99.46 136 | 98.09 89 | 99.45 81 | 99.82 44 | 98.34 68 | 99.51 196 | 98.70 80 | 98.93 140 | 99.67 84 |
|
EPNet_dtu | | | 98.03 168 | 97.96 156 | 98.23 242 | 98.27 295 | 95.54 278 | 99.23 216 | 98.75 293 | 99.02 10 | 97.82 268 | 99.71 103 | 96.11 127 | 99.48 197 | 93.04 298 | 99.65 97 | 99.69 77 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
EG-PatchMatch MVS | | | 95.97 274 | 95.69 268 | 96.81 292 | 97.78 301 | 92.79 309 | 99.16 229 | 98.93 273 | 96.16 248 | 94.08 301 | 99.22 247 | 82.72 323 | 99.47 198 | 95.67 258 | 97.50 208 | 98.17 287 |
|
MVP-Stereo | | | 97.81 200 | 97.75 182 | 97.99 258 | 97.53 304 | 96.60 256 | 98.96 277 | 98.85 284 | 97.22 172 | 97.23 276 | 99.36 222 | 95.28 148 | 99.46 199 | 95.51 260 | 99.78 72 | 97.92 299 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
CVMVSNet | | | 98.57 127 | 98.67 107 | 98.30 231 | 99.35 151 | 95.59 275 | 99.50 121 | 99.55 54 | 98.60 51 | 99.39 95 | 99.83 37 | 94.48 197 | 99.45 200 | 98.75 74 | 98.56 161 | 99.85 8 |
|
test-LLR | | | 98.06 159 | 97.90 160 | 98.55 209 | 98.79 261 | 97.10 229 | 98.67 300 | 97.75 324 | 97.34 160 | 98.61 235 | 98.85 276 | 94.45 198 | 99.45 200 | 97.25 202 | 99.38 108 | 99.10 158 |
|
TESTMET0.1,1 | | | 97.55 228 | 97.27 236 | 98.40 224 | 98.93 240 | 96.53 257 | 98.67 300 | 97.61 328 | 96.96 192 | 98.64 231 | 99.28 240 | 88.63 298 | 99.45 200 | 97.30 201 | 99.38 108 | 99.21 153 |
|
test-mter | | | 97.49 237 | 97.13 240 | 98.55 209 | 98.79 261 | 97.10 229 | 98.67 300 | 97.75 324 | 96.65 208 | 98.61 235 | 98.85 276 | 88.23 303 | 99.45 200 | 97.25 202 | 99.38 108 | 99.10 158 |
|
mvs_anonymous | | | 99.03 84 | 98.99 68 | 99.16 127 | 99.38 146 | 98.52 180 | 99.51 116 | 99.38 183 | 97.79 121 | 99.38 97 | 99.81 53 | 97.30 96 | 99.45 200 | 99.35 18 | 98.99 134 | 99.51 120 |
|
v7n | | | 97.87 191 | 97.52 200 | 98.92 156 | 98.76 269 | 98.58 174 | 99.84 9 | 99.46 136 | 96.20 244 | 98.91 193 | 99.70 106 | 94.89 172 | 99.44 205 | 96.03 250 | 93.89 288 | 98.75 199 |
|
jajsoiax | | | 98.43 132 | 98.28 136 | 98.88 173 | 98.60 285 | 98.43 187 | 99.82 13 | 99.53 71 | 98.19 76 | 98.63 232 | 99.80 64 | 93.22 229 | 99.44 205 | 99.22 31 | 97.50 208 | 98.77 196 |
|
mvs_tets | | | 98.40 135 | 98.23 138 | 98.91 160 | 98.67 280 | 98.51 182 | 99.66 58 | 99.53 71 | 98.19 76 | 98.65 230 | 99.81 53 | 92.75 237 | 99.44 205 | 99.31 25 | 97.48 212 | 98.77 196 |
|
Vis-MVSNet (Re-imp) | | | 98.87 97 | 98.72 101 | 99.31 110 | 99.71 68 | 98.88 131 | 99.80 19 | 99.44 155 | 97.91 110 | 99.36 103 | 99.78 77 | 95.49 144 | 99.43 208 | 97.91 149 | 99.11 124 | 99.62 100 |
|
VPNet | | | 97.84 195 | 97.44 213 | 99.01 139 | 99.21 180 | 98.94 124 | 99.48 133 | 99.57 43 | 98.38 64 | 99.28 121 | 99.73 98 | 88.89 292 | 99.39 209 | 99.19 33 | 93.27 293 | 98.71 206 |
|
nrg030 | | | 98.64 125 | 98.42 127 | 99.28 118 | 99.05 213 | 99.69 29 | 99.81 15 | 99.46 136 | 98.04 99 | 99.01 177 | 99.82 44 | 96.69 113 | 99.38 210 | 99.34 22 | 94.59 275 | 98.78 193 |
|
GA-MVS | | | 97.85 193 | 97.47 208 | 99.00 141 | 99.38 146 | 97.99 202 | 98.57 306 | 99.15 249 | 97.04 188 | 98.90 195 | 99.30 237 | 89.83 284 | 99.38 210 | 96.70 234 | 98.33 170 | 99.62 100 |
|
UniMVSNet (Re) | | | 98.29 140 | 98.00 153 | 99.13 130 | 99.00 219 | 99.36 74 | 99.49 128 | 99.51 84 | 97.95 108 | 98.97 187 | 99.13 253 | 96.30 122 | 99.38 210 | 98.36 119 | 93.34 292 | 98.66 242 |
|
FIs | | | 98.78 113 | 98.63 112 | 99.23 123 | 99.18 186 | 99.54 52 | 99.83 12 | 99.59 37 | 98.28 70 | 98.79 208 | 99.81 53 | 96.75 111 | 99.37 213 | 99.08 43 | 96.38 238 | 98.78 193 |
|
PS-MVSNAJss | | | 98.92 95 | 98.92 77 | 98.90 164 | 98.78 265 | 98.53 177 | 99.78 22 | 99.54 61 | 98.07 93 | 99.00 184 | 99.76 85 | 99.01 11 | 99.37 213 | 99.13 39 | 97.23 223 | 98.81 190 |
|
CDS-MVSNet | | | 99.09 75 | 99.03 63 | 99.25 119 | 99.42 135 | 98.73 159 | 99.45 141 | 99.46 136 | 98.11 86 | 99.46 80 | 99.77 82 | 98.01 79 | 99.37 213 | 98.70 80 | 98.92 142 | 99.66 85 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
MVS-HIRNet | | | 95.75 276 | 95.16 280 | 97.51 280 | 99.30 164 | 93.69 304 | 98.88 288 | 95.78 332 | 85.09 323 | 98.78 209 | 92.65 327 | 91.29 271 | 99.37 213 | 94.85 271 | 99.85 52 | 99.46 133 |
|
v1192 | | | 97.81 200 | 97.44 213 | 98.91 160 | 98.88 249 | 98.68 162 | 99.51 116 | 99.34 203 | 96.18 246 | 99.20 147 | 99.34 229 | 94.03 214 | 99.36 217 | 95.32 265 | 95.18 257 | 98.69 215 |
|
EI-MVSNet | | | 98.67 122 | 98.67 107 | 98.68 197 | 99.35 151 | 97.97 203 | 99.50 121 | 99.38 183 | 96.93 195 | 99.20 147 | 99.83 37 | 97.87 81 | 99.36 217 | 98.38 116 | 97.56 203 | 98.71 206 |
|
MVSTER | | | 98.49 128 | 98.32 133 | 99.00 141 | 99.35 151 | 99.02 107 | 99.54 108 | 99.38 183 | 97.41 156 | 99.20 147 | 99.73 98 | 93.86 220 | 99.36 217 | 98.87 61 | 97.56 203 | 98.62 255 |
|
gg-mvs-nofinetune | | | 96.17 271 | 95.32 278 | 98.73 195 | 98.79 261 | 98.14 197 | 99.38 173 | 94.09 336 | 91.07 313 | 98.07 261 | 91.04 331 | 89.62 287 | 99.35 220 | 96.75 231 | 99.09 127 | 98.68 220 |
|
pm-mvs1 | | | 97.68 220 | 97.28 234 | 98.88 173 | 99.06 210 | 98.62 170 | 99.50 121 | 99.45 147 | 96.32 234 | 97.87 266 | 99.79 72 | 92.47 250 | 99.35 220 | 97.54 183 | 93.54 291 | 98.67 231 |
|
OurMVSNet-221017-0 | | | 97.88 190 | 97.77 176 | 98.19 247 | 98.71 275 | 96.53 257 | 99.88 1 | 99.00 266 | 97.79 121 | 98.78 209 | 99.94 3 | 91.68 265 | 99.35 220 | 97.21 204 | 96.99 229 | 98.69 215 |
|
v6 | | | 98.12 153 | 97.84 166 | 98.94 148 | 98.94 235 | 98.83 139 | 99.66 58 | 99.34 203 | 96.49 218 | 99.30 113 | 99.37 215 | 94.95 165 | 99.34 223 | 97.77 161 | 94.74 266 | 98.67 231 |
|
pmmvs6 | | | 96.53 256 | 96.09 257 | 97.82 270 | 98.69 277 | 95.47 280 | 99.37 175 | 99.47 126 | 93.46 298 | 97.41 273 | 99.78 77 | 87.06 310 | 99.33 224 | 96.92 225 | 92.70 300 | 98.65 245 |
|
v52 | | | 97.79 204 | 97.50 204 | 98.66 200 | 98.80 259 | 98.62 170 | 99.87 4 | 99.44 155 | 95.87 259 | 99.01 177 | 99.46 193 | 94.44 200 | 99.33 224 | 96.65 239 | 93.96 287 | 98.05 290 |
|
V4 | | | 97.80 202 | 97.51 202 | 98.67 199 | 98.79 261 | 98.63 168 | 99.87 4 | 99.44 155 | 95.87 259 | 99.01 177 | 99.46 193 | 94.52 196 | 99.33 224 | 96.64 240 | 93.97 286 | 98.05 290 |
|
v1neww | | | 98.12 153 | 97.84 166 | 98.93 151 | 98.97 227 | 98.81 148 | 99.66 58 | 99.35 195 | 96.49 218 | 99.29 117 | 99.37 215 | 95.02 161 | 99.32 227 | 97.73 166 | 94.73 267 | 98.67 231 |
|
v7new | | | 98.12 153 | 97.84 166 | 98.93 151 | 98.97 227 | 98.81 148 | 99.66 58 | 99.35 195 | 96.49 218 | 99.29 117 | 99.37 215 | 95.02 161 | 99.32 227 | 97.73 166 | 94.73 267 | 98.67 231 |
|
v1 | | | 98.05 165 | 97.76 179 | 98.93 151 | 98.92 242 | 98.80 153 | 99.57 93 | 99.35 195 | 96.39 232 | 99.28 121 | 99.36 222 | 94.86 174 | 99.32 227 | 97.38 197 | 94.72 269 | 98.68 220 |
|
V42 | | | 98.06 159 | 97.79 170 | 98.86 181 | 98.98 224 | 98.84 136 | 99.69 44 | 99.34 203 | 96.53 217 | 99.30 113 | 99.37 215 | 94.67 189 | 99.32 227 | 97.57 180 | 94.66 272 | 98.42 280 |
|
lessismore_v0 | | | | | 97.79 272 | 98.69 277 | 95.44 282 | | 94.75 334 | | 95.71 293 | 99.87 19 | 88.69 295 | 99.32 227 | 95.89 252 | 94.93 265 | 98.62 255 |
|
OpenMVS_ROB | | 92.34 20 | 94.38 289 | 93.70 290 | 96.41 297 | 97.38 306 | 93.17 307 | 99.06 251 | 98.75 293 | 86.58 321 | 94.84 297 | 98.26 296 | 81.53 325 | 99.32 227 | 89.01 312 | 97.87 192 | 96.76 316 |
|
v748 | | | 97.52 231 | 97.23 237 | 98.41 223 | 98.69 277 | 97.23 226 | 99.87 4 | 99.45 147 | 95.72 261 | 98.51 238 | 99.53 167 | 94.13 210 | 99.30 233 | 96.78 230 | 92.39 302 | 98.70 210 |
|
v8 | | | 97.95 183 | 97.63 194 | 98.93 151 | 98.95 232 | 98.81 148 | 99.80 19 | 99.41 167 | 96.03 257 | 99.10 162 | 99.42 200 | 94.92 169 | 99.30 233 | 96.94 223 | 94.08 284 | 98.66 242 |
|
v1921920 | | | 97.80 202 | 97.45 210 | 98.84 185 | 98.80 259 | 98.53 177 | 99.52 112 | 99.34 203 | 96.15 250 | 99.24 135 | 99.47 189 | 93.98 215 | 99.29 235 | 95.40 263 | 95.13 260 | 98.69 215 |
|
anonymousdsp | | | 98.44 131 | 98.28 136 | 98.94 148 | 98.50 290 | 98.96 120 | 99.77 24 | 99.50 98 | 97.07 185 | 98.87 198 | 99.77 82 | 94.76 184 | 99.28 236 | 98.66 85 | 97.60 199 | 98.57 271 |
|
MVSFormer | | | 99.17 58 | 99.12 53 | 99.29 116 | 99.51 117 | 98.94 124 | 99.88 1 | 99.46 136 | 97.55 143 | 99.80 16 | 99.65 127 | 97.39 92 | 99.28 236 | 99.03 46 | 99.85 52 | 99.65 88 |
|
test_djsdf | | | 98.67 122 | 98.57 121 | 98.98 143 | 98.70 276 | 98.91 129 | 99.88 1 | 99.46 136 | 97.55 143 | 99.22 142 | 99.88 14 | 95.73 139 | 99.28 236 | 99.03 46 | 97.62 198 | 98.75 199 |
|
v1141 | | | 98.05 165 | 97.76 179 | 98.91 160 | 98.91 244 | 98.78 157 | 99.57 93 | 99.35 195 | 96.41 230 | 99.23 140 | 99.36 222 | 94.93 168 | 99.27 239 | 97.38 197 | 94.72 269 | 98.68 220 |
|
testing_2 | | | 94.44 288 | 92.93 294 | 98.98 143 | 94.16 321 | 99.00 111 | 99.42 157 | 99.28 231 | 96.60 213 | 84.86 324 | 96.84 319 | 70.91 327 | 99.27 239 | 98.23 126 | 96.08 244 | 98.68 220 |
|
divwei89l23v2f112 | | | 98.06 159 | 97.78 172 | 98.91 160 | 98.90 245 | 98.77 158 | 99.57 93 | 99.35 195 | 96.45 225 | 99.24 135 | 99.37 215 | 94.92 169 | 99.27 239 | 97.50 187 | 94.71 271 | 98.68 220 |
|
v7 | | | 98.05 165 | 97.78 172 | 98.87 177 | 98.99 220 | 98.67 163 | 99.64 70 | 99.34 203 | 96.31 235 | 99.29 117 | 99.51 174 | 94.78 179 | 99.27 239 | 97.03 215 | 95.15 259 | 98.66 242 |
|
cascas | | | 97.69 218 | 97.43 216 | 98.48 214 | 98.60 285 | 97.30 220 | 98.18 320 | 99.39 177 | 92.96 301 | 98.41 243 | 98.78 283 | 93.77 222 | 99.27 239 | 98.16 130 | 98.61 155 | 98.86 188 |
|
v144192 | | | 97.92 187 | 97.60 196 | 98.87 177 | 98.83 258 | 98.65 166 | 99.55 105 | 99.34 203 | 96.20 244 | 99.32 111 | 99.40 207 | 94.36 201 | 99.26 244 | 96.37 246 | 95.03 262 | 98.70 210 |
|
v2v482 | | | 98.06 159 | 97.77 176 | 98.92 156 | 98.90 245 | 98.82 146 | 99.57 93 | 99.36 191 | 96.65 208 | 99.19 150 | 99.35 226 | 94.20 206 | 99.25 245 | 97.72 170 | 94.97 263 | 98.69 215 |
|
Test4 | | | 95.05 283 | 93.67 291 | 99.22 124 | 96.07 313 | 98.94 124 | 99.20 225 | 99.27 236 | 97.71 130 | 89.96 322 | 97.59 313 | 66.18 330 | 99.25 245 | 98.06 141 | 98.96 137 | 99.47 130 |
|
v1240 | | | 97.69 218 | 97.32 230 | 98.79 191 | 98.85 256 | 98.43 187 | 99.48 133 | 99.36 191 | 96.11 253 | 99.27 125 | 99.36 222 | 93.76 223 | 99.24 247 | 94.46 278 | 95.23 256 | 98.70 210 |
|
v1144 | | | 97.98 175 | 97.69 186 | 98.85 184 | 98.87 252 | 98.66 165 | 99.54 108 | 99.35 195 | 96.27 238 | 99.23 140 | 99.35 226 | 94.67 189 | 99.23 248 | 96.73 232 | 95.16 258 | 98.68 220 |
|
v10 | | | 97.85 193 | 97.52 200 | 98.86 181 | 98.99 220 | 98.67 163 | 99.75 34 | 99.41 167 | 95.70 262 | 98.98 186 | 99.41 203 | 94.75 185 | 99.23 248 | 96.01 251 | 94.63 274 | 98.67 231 |
|
WR-MVS_H | | | 98.13 151 | 97.87 165 | 98.90 164 | 99.02 217 | 98.84 136 | 99.70 42 | 99.59 37 | 97.27 166 | 98.40 244 | 99.19 249 | 95.53 142 | 99.23 248 | 98.34 120 | 93.78 289 | 98.61 264 |
|
GG-mvs-BLEND | | | | | 98.45 218 | 98.55 288 | 98.16 196 | 99.43 150 | 93.68 337 | | 97.23 276 | 98.46 292 | 89.30 289 | 99.22 251 | 95.43 262 | 98.22 176 | 97.98 295 |
|
FC-MVSNet-test | | | 98.75 116 | 98.62 115 | 99.15 129 | 99.08 207 | 99.45 66 | 99.86 8 | 99.60 34 | 98.23 75 | 98.70 221 | 99.82 44 | 96.80 107 | 99.22 251 | 99.07 44 | 96.38 238 | 98.79 192 |
|
UniMVSNet_NR-MVSNet | | | 98.22 143 | 97.97 155 | 98.96 145 | 98.92 242 | 98.98 113 | 99.48 133 | 99.53 71 | 97.76 124 | 98.71 215 | 99.46 193 | 96.43 119 | 99.22 251 | 98.57 97 | 92.87 298 | 98.69 215 |
|
DU-MVS | | | 98.08 158 | 97.79 170 | 98.96 145 | 98.87 252 | 98.98 113 | 99.41 161 | 99.45 147 | 97.87 111 | 98.71 215 | 99.50 176 | 94.82 176 | 99.22 251 | 98.57 97 | 92.87 298 | 98.68 220 |
|
WR-MVS | | | 98.06 159 | 97.73 183 | 99.06 134 | 98.86 255 | 99.25 86 | 99.19 226 | 99.35 195 | 97.30 164 | 98.66 224 | 99.43 198 | 93.94 216 | 99.21 255 | 98.58 95 | 94.28 279 | 98.71 206 |
|
test_0402 | | | 96.64 253 | 96.24 254 | 97.85 267 | 98.85 256 | 96.43 261 | 99.44 145 | 99.26 237 | 93.52 296 | 96.98 282 | 99.52 171 | 88.52 299 | 99.20 256 | 92.58 303 | 97.50 208 | 97.93 298 |
|
SixPastTwentyTwo | | | 97.50 235 | 97.33 229 | 98.03 253 | 98.65 281 | 96.23 267 | 99.77 24 | 98.68 304 | 97.14 177 | 97.90 265 | 99.93 4 | 90.45 277 | 99.18 257 | 97.00 217 | 96.43 237 | 98.67 231 |
|
semantic-postprocess | | | | | 98.06 252 | 99.57 109 | 96.36 263 | | 99.49 103 | 97.18 174 | 98.71 215 | 99.72 102 | 92.70 243 | 99.14 258 | 97.44 194 | 95.86 247 | 98.67 231 |
|
pmmvs5 | | | 97.52 231 | 97.30 232 | 98.16 249 | 98.57 287 | 96.73 251 | 99.27 203 | 98.90 280 | 96.14 251 | 98.37 246 | 99.53 167 | 91.54 269 | 99.14 258 | 97.51 186 | 95.87 246 | 98.63 253 |
|
v148 | | | 97.79 204 | 97.55 198 | 98.50 211 | 98.74 270 | 97.72 217 | 99.54 108 | 99.33 211 | 96.26 239 | 98.90 195 | 99.51 174 | 94.68 188 | 99.14 258 | 97.83 155 | 93.15 295 | 98.63 253 |
|
NR-MVSNet | | | 97.97 178 | 97.61 195 | 99.02 138 | 98.87 252 | 99.26 85 | 99.47 137 | 99.42 164 | 97.63 137 | 97.08 279 | 99.50 176 | 95.07 159 | 99.13 261 | 97.86 153 | 93.59 290 | 98.68 220 |
|
IterMVS | | | 97.83 196 | 97.77 176 | 98.02 255 | 99.58 107 | 96.27 266 | 99.02 262 | 99.48 112 | 97.22 172 | 98.71 215 | 99.70 106 | 92.75 237 | 99.13 261 | 97.46 192 | 96.00 245 | 98.67 231 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
CMPMVS | | 69.68 23 | 94.13 290 | 94.90 282 | 91.84 310 | 97.24 310 | 80.01 330 | 98.52 308 | 99.48 112 | 89.01 318 | 91.99 316 | 99.67 120 | 85.67 314 | 99.13 261 | 95.44 261 | 97.03 228 | 96.39 318 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
pmmvs4 | | | 98.13 151 | 97.90 160 | 98.81 188 | 98.61 284 | 98.87 132 | 98.99 268 | 99.21 243 | 96.44 226 | 99.06 172 | 99.58 154 | 95.90 133 | 99.11 264 | 97.18 208 | 96.11 243 | 98.46 279 |
|
TransMVSNet (Re) | | | 97.15 247 | 96.58 250 | 98.86 181 | 99.12 199 | 98.85 135 | 99.49 128 | 98.91 278 | 95.48 265 | 97.16 278 | 99.80 64 | 93.38 227 | 99.11 264 | 94.16 291 | 91.73 303 | 98.62 255 |
|
ambc | | | | | 93.06 305 | 92.68 325 | 82.36 327 | 98.47 310 | 98.73 302 | | 95.09 295 | 97.41 315 | 55.55 335 | 99.10 266 | 96.42 244 | 91.32 304 | 97.71 311 |
|
Baseline_NR-MVSNet | | | 97.76 207 | 97.45 210 | 98.68 197 | 99.09 206 | 98.29 191 | 99.41 161 | 98.85 284 | 95.65 263 | 98.63 232 | 99.67 120 | 94.82 176 | 99.10 266 | 98.07 140 | 92.89 297 | 98.64 247 |
|
CP-MVSNet | | | 98.09 157 | 97.78 172 | 99.01 139 | 98.97 227 | 99.24 87 | 99.67 55 | 99.46 136 | 97.25 168 | 98.48 241 | 99.64 134 | 93.79 221 | 99.06 268 | 98.63 88 | 94.10 283 | 98.74 202 |
|
PS-CasMVS | | | 97.93 184 | 97.59 197 | 98.95 147 | 98.99 220 | 99.06 103 | 99.68 53 | 99.52 75 | 97.13 178 | 98.31 250 | 99.68 116 | 92.44 254 | 99.05 269 | 98.51 106 | 94.08 284 | 98.75 199 |
|
K. test v3 | | | 97.10 249 | 96.79 247 | 98.01 256 | 98.72 273 | 96.33 264 | 99.87 4 | 97.05 330 | 97.59 138 | 96.16 289 | 99.80 64 | 88.71 294 | 99.04 270 | 96.69 235 | 96.55 235 | 98.65 245 |
|
new_pmnet | | | 96.38 262 | 96.03 258 | 97.41 282 | 98.13 298 | 95.16 288 | 99.05 253 | 99.20 244 | 93.94 291 | 97.39 274 | 98.79 281 | 91.61 268 | 99.04 270 | 90.43 308 | 95.77 248 | 98.05 290 |
|
IterMVS-LS | | | 98.46 130 | 98.42 127 | 98.58 204 | 99.59 106 | 98.00 201 | 99.37 175 | 99.43 163 | 96.94 194 | 99.07 168 | 99.59 151 | 97.87 81 | 99.03 272 | 98.32 123 | 95.62 251 | 98.71 206 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
Patchmtry | | | 97.75 210 | 97.40 219 | 98.81 188 | 99.10 204 | 98.87 132 | 99.11 242 | 99.33 211 | 94.83 271 | 98.81 206 | 99.38 212 | 94.33 202 | 99.02 273 | 96.10 248 | 95.57 252 | 98.53 273 |
|
N_pmnet | | | 94.95 285 | 95.83 263 | 92.31 309 | 98.47 291 | 79.33 331 | 99.12 236 | 92.81 341 | 93.87 292 | 97.68 271 | 99.13 253 | 93.87 219 | 99.01 274 | 91.38 305 | 96.19 242 | 98.59 267 |
|
CR-MVSNet | | | 98.17 148 | 97.93 159 | 98.87 177 | 99.18 186 | 98.49 183 | 99.22 220 | 99.33 211 | 96.96 192 | 99.56 64 | 99.38 212 | 94.33 202 | 99.00 275 | 94.83 272 | 98.58 158 | 99.14 155 |
|
RPMNet | | | 96.61 254 | 95.85 262 | 98.87 177 | 99.18 186 | 98.49 183 | 99.22 220 | 99.08 256 | 88.72 320 | 99.56 64 | 97.38 316 | 94.08 213 | 99.00 275 | 86.87 320 | 98.58 158 | 99.14 155 |
|
test0.0.03 1 | | | 97.71 217 | 97.42 217 | 98.56 207 | 98.41 293 | 97.82 208 | 98.78 293 | 98.63 306 | 97.34 160 | 98.05 262 | 98.98 268 | 94.45 198 | 98.98 277 | 95.04 269 | 97.15 227 | 98.89 187 |
|
PatchT | | | 97.03 251 | 96.44 252 | 98.79 191 | 98.99 220 | 98.34 190 | 99.16 229 | 99.07 259 | 92.13 305 | 99.52 70 | 97.31 318 | 94.54 195 | 98.98 277 | 88.54 313 | 98.73 154 | 99.03 170 |
|
GBi-Net | | | 97.68 220 | 97.48 206 | 98.29 232 | 99.51 117 | 97.26 223 | 99.43 150 | 99.48 112 | 96.49 218 | 99.07 168 | 99.32 234 | 90.26 279 | 98.98 277 | 97.10 211 | 96.65 231 | 98.62 255 |
|
test1 | | | 97.68 220 | 97.48 206 | 98.29 232 | 99.51 117 | 97.26 223 | 99.43 150 | 99.48 112 | 96.49 218 | 99.07 168 | 99.32 234 | 90.26 279 | 98.98 277 | 97.10 211 | 96.65 231 | 98.62 255 |
|
FMVSNet3 | | | 98.03 168 | 97.76 179 | 98.84 185 | 99.39 145 | 98.98 113 | 99.40 167 | 99.38 183 | 96.67 207 | 99.07 168 | 99.28 240 | 92.93 232 | 98.98 277 | 97.10 211 | 96.65 231 | 98.56 272 |
|
FMVSNet2 | | | 97.72 215 | 97.36 222 | 98.80 190 | 99.51 117 | 98.84 136 | 99.45 141 | 99.42 164 | 96.49 218 | 98.86 203 | 99.29 239 | 90.26 279 | 98.98 277 | 96.44 243 | 96.56 234 | 98.58 270 |
|
FMVSNet1 | | | 96.84 252 | 96.36 253 | 98.29 232 | 99.32 162 | 97.26 223 | 99.43 150 | 99.48 112 | 95.11 268 | 98.55 237 | 99.32 234 | 83.95 321 | 98.98 277 | 95.81 254 | 96.26 241 | 98.62 255 |
|
TranMVSNet+NR-MVSNet | | | 97.93 184 | 97.66 187 | 98.76 194 | 98.78 265 | 98.62 170 | 99.65 68 | 99.49 103 | 97.76 124 | 98.49 240 | 99.60 149 | 94.23 205 | 98.97 284 | 98.00 143 | 92.90 296 | 98.70 210 |
|
ADS-MVSNet2 | | | 98.02 170 | 98.07 149 | 97.87 265 | 99.33 155 | 95.19 286 | 99.23 216 | 99.08 256 | 96.24 241 | 99.10 162 | 99.67 120 | 94.11 211 | 98.93 285 | 96.81 228 | 99.05 130 | 99.48 126 |
|
PEN-MVS | | | 97.76 207 | 97.44 213 | 98.72 196 | 98.77 268 | 98.54 176 | 99.78 22 | 99.51 84 | 97.06 187 | 98.29 252 | 99.64 134 | 92.63 245 | 98.89 286 | 98.09 134 | 93.16 294 | 98.72 204 |
|
LP | | | 97.04 250 | 96.80 246 | 97.77 273 | 98.90 245 | 95.23 284 | 98.97 275 | 99.06 261 | 94.02 289 | 98.09 257 | 99.41 203 | 93.88 218 | 98.82 287 | 90.46 307 | 98.42 168 | 99.26 151 |
|
testgi | | | 97.65 225 | 97.50 204 | 98.13 250 | 99.36 150 | 96.45 260 | 99.42 157 | 99.48 112 | 97.76 124 | 97.87 266 | 99.45 196 | 91.09 272 | 98.81 288 | 94.53 276 | 98.52 163 | 99.13 157 |
|
MIMVSNet | | | 97.73 213 | 97.45 210 | 98.57 205 | 99.45 133 | 97.50 219 | 99.02 262 | 98.98 268 | 96.11 253 | 99.41 90 | 99.14 252 | 90.28 278 | 98.74 289 | 95.74 255 | 98.93 140 | 99.47 130 |
|
LCM-MVSNet-Re | | | 97.83 196 | 98.15 140 | 96.87 291 | 99.30 164 | 92.25 312 | 99.59 83 | 98.26 315 | 97.43 153 | 96.20 288 | 99.13 253 | 96.27 123 | 98.73 290 | 98.17 129 | 98.99 134 | 99.64 94 |
|
testpf | | | 95.66 277 | 96.02 260 | 94.58 301 | 98.35 294 | 92.32 311 | 97.25 328 | 97.91 323 | 92.83 302 | 97.03 281 | 98.99 265 | 88.69 295 | 98.61 291 | 95.72 256 | 97.40 217 | 92.80 325 |
|
DTE-MVSNet | | | 97.51 234 | 97.19 239 | 98.46 217 | 98.63 283 | 98.13 198 | 99.84 9 | 99.48 112 | 96.68 206 | 97.97 264 | 99.67 120 | 92.92 233 | 98.56 292 | 96.88 227 | 92.60 301 | 98.70 210 |
|
UnsupCasMVSNet_bld | | | 93.53 293 | 92.51 295 | 96.58 296 | 97.38 306 | 93.82 300 | 98.24 317 | 99.48 112 | 91.10 312 | 93.10 312 | 96.66 320 | 74.89 326 | 98.37 293 | 94.03 292 | 87.71 316 | 97.56 314 |
|
MDA-MVSNet_test_wron | | | 95.45 279 | 94.60 284 | 98.01 256 | 98.16 297 | 97.21 227 | 99.11 242 | 99.24 240 | 93.49 297 | 80.73 329 | 98.98 268 | 93.02 230 | 98.18 294 | 94.22 290 | 94.45 277 | 98.64 247 |
|
UnsupCasMVSNet_eth | | | 96.44 257 | 96.12 256 | 97.40 283 | 98.65 281 | 95.65 273 | 99.36 179 | 99.51 84 | 97.13 178 | 96.04 292 | 98.99 265 | 88.40 301 | 98.17 295 | 96.71 233 | 90.27 306 | 98.40 282 |
|
v18 | | | 96.42 259 | 95.80 266 | 98.26 235 | 98.95 232 | 98.82 146 | 99.76 27 | 99.28 231 | 94.58 276 | 94.12 299 | 97.70 303 | 95.22 154 | 98.16 296 | 94.83 272 | 87.80 313 | 97.79 308 |
|
v17 | | | 96.42 259 | 95.81 264 | 98.25 239 | 98.94 235 | 98.80 153 | 99.76 27 | 99.28 231 | 94.57 277 | 94.18 298 | 97.71 302 | 95.23 153 | 98.16 296 | 94.86 270 | 87.73 315 | 97.80 303 |
|
v16 | | | 96.39 261 | 95.76 267 | 98.26 235 | 98.96 230 | 98.81 148 | 99.76 27 | 99.28 231 | 94.57 277 | 94.10 300 | 97.70 303 | 95.04 160 | 98.16 296 | 94.70 274 | 87.77 314 | 97.80 303 |
|
V9 | | | 96.25 265 | 95.58 271 | 98.26 235 | 98.94 235 | 98.83 139 | 99.75 34 | 99.29 224 | 94.45 284 | 93.96 305 | 97.62 309 | 94.94 166 | 98.14 299 | 94.40 280 | 86.87 320 | 97.81 301 |
|
v15 | | | 96.28 263 | 95.62 269 | 98.25 239 | 98.94 235 | 98.83 139 | 99.76 27 | 99.29 224 | 94.52 281 | 94.02 303 | 97.61 310 | 95.02 161 | 98.13 300 | 94.53 276 | 86.92 318 | 97.80 303 |
|
V14 | | | 96.26 264 | 95.60 270 | 98.26 235 | 98.94 235 | 98.83 139 | 99.76 27 | 99.29 224 | 94.49 282 | 93.96 305 | 97.66 306 | 94.99 164 | 98.13 300 | 94.41 279 | 86.90 319 | 97.80 303 |
|
v13 | | | 96.24 266 | 95.58 271 | 98.25 239 | 98.98 224 | 98.83 139 | 99.75 34 | 99.29 224 | 94.35 286 | 93.89 308 | 97.60 311 | 95.17 156 | 98.11 302 | 94.27 288 | 86.86 321 | 97.81 301 |
|
v12 | | | 96.24 266 | 95.58 271 | 98.23 242 | 98.96 230 | 98.81 148 | 99.76 27 | 99.29 224 | 94.42 285 | 93.85 309 | 97.60 311 | 95.12 157 | 98.09 303 | 94.32 285 | 86.85 322 | 97.80 303 |
|
v11 | | | 96.23 268 | 95.57 274 | 98.21 245 | 98.93 240 | 98.83 139 | 99.72 39 | 99.29 224 | 94.29 287 | 94.05 302 | 97.64 308 | 94.88 173 | 98.04 304 | 92.89 299 | 88.43 311 | 97.77 309 |
|
YYNet1 | | | 95.36 281 | 94.51 286 | 97.92 262 | 97.89 299 | 97.10 229 | 99.10 244 | 99.23 241 | 93.26 300 | 80.77 328 | 99.04 262 | 92.81 236 | 98.02 305 | 94.30 286 | 94.18 282 | 98.64 247 |
|
EU-MVSNet | | | 97.98 175 | 98.03 151 | 97.81 271 | 98.72 273 | 96.65 255 | 99.66 58 | 99.66 25 | 98.09 89 | 98.35 248 | 99.82 44 | 95.25 152 | 98.01 306 | 97.41 196 | 95.30 255 | 98.78 193 |
|
Gipuma | | | 90.99 298 | 90.15 299 | 93.51 303 | 98.73 271 | 90.12 316 | 93.98 332 | 99.45 147 | 79.32 327 | 92.28 315 | 94.91 324 | 69.61 328 | 97.98 307 | 87.42 316 | 95.67 250 | 92.45 327 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
pmmvs-eth3d | | | 95.34 282 | 94.73 283 | 97.15 284 | 95.53 316 | 95.94 271 | 99.35 183 | 99.10 254 | 95.13 267 | 93.55 310 | 97.54 314 | 88.15 305 | 97.91 308 | 94.58 275 | 89.69 309 | 97.61 312 |
|
PM-MVS | | | 92.96 294 | 92.23 296 | 95.14 300 | 95.61 314 | 89.98 317 | 99.37 175 | 98.21 317 | 94.80 272 | 95.04 296 | 97.69 305 | 65.06 331 | 97.90 309 | 94.30 286 | 89.98 308 | 97.54 315 |
|
MDA-MVSNet-bldmvs | | | 94.96 284 | 93.98 289 | 97.92 262 | 98.24 296 | 97.27 222 | 99.15 232 | 99.33 211 | 93.80 293 | 80.09 330 | 99.03 263 | 88.31 302 | 97.86 310 | 93.49 295 | 94.36 278 | 98.62 255 |
|
Anonymous20231211 | | | 90.69 299 | 89.39 300 | 94.58 301 | 94.25 320 | 88.18 318 | 99.29 197 | 99.07 259 | 82.45 326 | 92.95 313 | 97.65 307 | 63.96 333 | 97.79 311 | 89.27 311 | 85.63 324 | 97.77 309 |
|
Patchmatch-RL test | | | 95.84 275 | 95.81 264 | 95.95 298 | 95.61 314 | 90.57 315 | 98.24 317 | 98.39 312 | 95.10 269 | 95.20 294 | 98.67 286 | 94.78 179 | 97.77 312 | 96.28 247 | 90.02 307 | 99.51 120 |
|
Anonymous20231206 | | | 96.22 269 | 96.03 258 | 96.79 293 | 97.31 309 | 94.14 298 | 99.63 71 | 99.08 256 | 96.17 247 | 97.04 280 | 99.06 260 | 93.94 216 | 97.76 313 | 86.96 319 | 95.06 261 | 98.47 277 |
|
SD-MVS | | | 99.41 32 | 99.52 6 | 99.05 136 | 99.74 57 | 99.68 30 | 99.46 140 | 99.52 75 | 99.11 7 | 99.88 3 | 99.91 5 | 99.43 1 | 97.70 314 | 98.72 79 | 99.93 11 | 99.77 49 |
|
DSMNet-mixed | | | 97.25 245 | 97.35 224 | 96.95 289 | 97.84 300 | 93.61 305 | 99.57 93 | 96.63 331 | 96.13 252 | 98.87 198 | 98.61 288 | 94.59 192 | 97.70 314 | 95.08 268 | 98.86 147 | 99.55 110 |
|
pmmvs3 | | | 94.09 291 | 93.25 293 | 96.60 295 | 94.76 319 | 94.49 294 | 98.92 284 | 98.18 319 | 89.66 315 | 96.48 286 | 98.06 297 | 86.28 311 | 97.33 316 | 89.68 310 | 87.20 317 | 97.97 296 |
|
FMVSNet5 | | | 96.43 258 | 96.19 255 | 97.15 284 | 99.11 201 | 95.89 272 | 99.32 188 | 99.52 75 | 94.47 283 | 98.34 249 | 99.07 258 | 87.54 307 | 97.07 317 | 92.61 302 | 95.72 249 | 98.47 277 |
|
new-patchmatchnet | | | 94.48 287 | 94.08 288 | 95.67 299 | 95.08 318 | 92.41 310 | 99.18 227 | 99.28 231 | 94.55 280 | 93.49 311 | 97.37 317 | 87.86 306 | 97.01 318 | 91.57 304 | 88.36 312 | 97.61 312 |
|
LCM-MVSNet | | | 86.80 302 | 85.22 305 | 91.53 313 | 87.81 332 | 80.96 329 | 98.23 319 | 98.99 267 | 71.05 330 | 90.13 321 | 96.51 321 | 48.45 338 | 96.88 319 | 90.51 306 | 85.30 325 | 96.76 316 |
|
no-one | | | 83.04 305 | 80.12 307 | 91.79 311 | 89.44 331 | 85.65 322 | 99.32 188 | 98.32 313 | 89.06 317 | 79.79 332 | 89.16 333 | 44.86 339 | 96.67 320 | 84.33 324 | 46.78 335 | 93.05 324 |
|
MIMVSNet1 | | | 95.51 278 | 95.04 281 | 96.92 290 | 97.38 306 | 95.60 274 | 99.52 112 | 99.50 98 | 93.65 294 | 96.97 283 | 99.17 250 | 85.28 316 | 96.56 321 | 88.36 314 | 95.55 253 | 98.60 266 |
|
test20.03 | | | 96.12 272 | 95.96 261 | 96.63 294 | 97.44 305 | 95.45 281 | 99.51 116 | 99.38 183 | 96.55 216 | 96.16 289 | 99.25 244 | 93.76 223 | 96.17 322 | 87.35 318 | 94.22 281 | 98.27 285 |
|
tmp_tt | | | 82.80 306 | 81.52 306 | 86.66 317 | 66.61 341 | 68.44 339 | 92.79 334 | 97.92 321 | 68.96 332 | 80.04 331 | 99.85 26 | 85.77 313 | 96.15 323 | 97.86 153 | 43.89 336 | 95.39 322 |
|
1111 | | | 92.30 296 | 92.21 297 | 92.55 307 | 93.30 322 | 86.27 319 | 99.15 232 | 98.74 296 | 91.94 306 | 90.85 319 | 97.82 300 | 84.18 319 | 95.21 324 | 79.65 327 | 94.27 280 | 96.19 319 |
|
.test1245 | | | 83.42 304 | 86.17 302 | 75.15 326 | 93.30 322 | 86.27 319 | 99.15 232 | 98.74 296 | 91.94 306 | 90.85 319 | 97.82 300 | 84.18 319 | 95.21 324 | 79.65 327 | 39.90 337 | 43.98 336 |
|
testus | | | 94.61 286 | 95.30 279 | 92.54 308 | 96.44 312 | 84.18 323 | 98.36 312 | 99.03 264 | 94.18 288 | 96.49 285 | 98.57 290 | 88.74 293 | 95.09 326 | 87.41 317 | 98.45 166 | 98.36 284 |
|
PMMVS2 | | | 86.87 301 | 85.37 304 | 91.35 314 | 90.21 329 | 83.80 324 | 98.89 287 | 97.45 329 | 83.13 325 | 91.67 318 | 95.03 323 | 48.49 337 | 94.70 327 | 85.86 322 | 77.62 328 | 95.54 321 |
|
test2356 | | | 94.07 292 | 94.46 287 | 92.89 306 | 95.18 317 | 86.13 321 | 97.60 326 | 99.06 261 | 93.61 295 | 96.15 291 | 98.28 295 | 85.60 315 | 93.95 328 | 86.68 321 | 98.00 188 | 98.59 267 |
|
test1235678 | | | 92.91 295 | 93.30 292 | 91.71 312 | 93.14 324 | 83.01 325 | 98.75 296 | 98.58 309 | 92.80 303 | 92.45 314 | 97.91 299 | 88.51 300 | 93.54 329 | 82.26 325 | 95.35 254 | 98.59 267 |
|
test12356 | | | 91.74 297 | 92.19 298 | 90.37 315 | 91.22 326 | 82.41 326 | 98.61 304 | 98.28 314 | 90.66 314 | 91.82 317 | 97.92 298 | 84.90 317 | 92.61 330 | 81.64 326 | 94.66 272 | 96.09 320 |
|
PMVS | | 70.75 22 | 75.98 312 | 74.97 311 | 79.01 325 | 70.98 340 | 55.18 341 | 93.37 333 | 98.21 317 | 65.08 336 | 61.78 337 | 93.83 326 | 21.74 346 | 92.53 331 | 78.59 329 | 91.12 305 | 89.34 331 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
testmv | | | 87.91 300 | 87.80 301 | 88.24 316 | 87.68 333 | 77.50 333 | 99.07 247 | 97.66 327 | 89.27 316 | 86.47 323 | 96.22 322 | 68.35 329 | 92.49 332 | 76.63 331 | 88.82 310 | 94.72 323 |
|
FPMVS | | | 84.93 303 | 85.65 303 | 82.75 323 | 86.77 334 | 63.39 340 | 98.35 314 | 98.92 275 | 74.11 329 | 83.39 326 | 98.98 268 | 50.85 336 | 92.40 333 | 84.54 323 | 94.97 263 | 92.46 326 |
|
PNet_i23d | | | 79.43 309 | 77.68 310 | 84.67 319 | 86.18 335 | 71.69 338 | 96.50 330 | 93.68 337 | 75.17 328 | 71.33 333 | 91.18 330 | 32.18 342 | 90.62 334 | 78.57 330 | 74.34 329 | 91.71 329 |
|
wuykxyi23d | | | 74.42 313 | 71.19 314 | 84.14 321 | 76.16 338 | 74.29 337 | 96.00 331 | 92.57 342 | 69.57 331 | 63.84 336 | 87.49 335 | 21.98 344 | 88.86 335 | 75.56 333 | 57.50 333 | 89.26 332 |
|
MVE | | 76.82 21 | 76.91 311 | 74.31 313 | 84.70 318 | 85.38 337 | 76.05 336 | 96.88 329 | 93.17 339 | 67.39 333 | 71.28 334 | 89.01 334 | 21.66 347 | 87.69 336 | 71.74 334 | 72.29 330 | 90.35 330 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
E-PMN | | | 80.61 307 | 79.88 308 | 82.81 322 | 90.75 328 | 76.38 335 | 97.69 324 | 95.76 333 | 66.44 334 | 83.52 325 | 92.25 328 | 62.54 334 | 87.16 337 | 68.53 335 | 61.40 331 | 84.89 334 |
|
EMVS | | | 80.02 308 | 79.22 309 | 82.43 324 | 91.19 327 | 76.40 334 | 97.55 327 | 92.49 343 | 66.36 335 | 83.01 327 | 91.27 329 | 64.63 332 | 85.79 338 | 65.82 336 | 60.65 332 | 85.08 333 |
|
ANet_high | | | 77.30 310 | 74.86 312 | 84.62 320 | 75.88 339 | 77.61 332 | 97.63 325 | 93.15 340 | 88.81 319 | 64.27 335 | 89.29 332 | 36.51 340 | 83.93 339 | 75.89 332 | 52.31 334 | 92.33 328 |
|
wuyk23d | | | 40.18 315 | 41.29 318 | 36.84 327 | 86.18 335 | 49.12 342 | 79.73 335 | 22.81 345 | 27.64 337 | 25.46 340 | 28.45 341 | 21.98 344 | 48.89 340 | 55.80 337 | 23.56 340 | 12.51 338 |
|
test123 | | | 39.01 317 | 42.50 317 | 28.53 329 | 39.17 342 | 20.91 343 | 98.75 296 | 19.17 346 | 19.83 339 | 38.57 338 | 66.67 337 | 33.16 341 | 15.42 341 | 37.50 339 | 29.66 339 | 49.26 335 |
|
testmvs | | | 39.17 316 | 43.78 315 | 25.37 330 | 36.04 343 | 16.84 344 | 98.36 312 | 26.56 344 | 20.06 338 | 38.51 339 | 67.32 336 | 29.64 343 | 15.30 342 | 37.59 338 | 39.90 337 | 43.98 336 |
|
cdsmvs_eth3d_5k | | | 24.64 318 | 32.85 319 | 0.00 331 | 0.00 344 | 0.00 345 | 0.00 336 | 99.51 84 | 0.00 340 | 0.00 341 | 99.56 160 | 96.58 115 | 0.00 343 | 0.00 340 | 0.00 341 | 0.00 339 |
|
pcd_1.5k_mvsjas | | | 8.27 320 | 11.03 321 | 0.00 331 | 0.00 344 | 0.00 345 | 0.00 336 | 0.00 347 | 0.00 340 | 0.00 341 | 0.27 342 | 99.01 11 | 0.00 343 | 0.00 340 | 0.00 341 | 0.00 339 |
|
pcd1.5k->3k | | | 40.85 314 | 43.49 316 | 32.93 328 | 98.95 232 | 0.00 345 | 0.00 336 | 99.53 71 | 0.00 340 | 0.00 341 | 0.27 342 | 95.32 147 | 0.00 343 | 0.00 340 | 97.30 221 | 98.80 191 |
|
sosnet-low-res | | | 0.02 321 | 0.03 322 | 0.00 331 | 0.00 344 | 0.00 345 | 0.00 336 | 0.00 347 | 0.00 340 | 0.00 341 | 0.27 342 | 0.00 348 | 0.00 343 | 0.00 340 | 0.00 341 | 0.00 339 |
|
sosnet | | | 0.02 321 | 0.03 322 | 0.00 331 | 0.00 344 | 0.00 345 | 0.00 336 | 0.00 347 | 0.00 340 | 0.00 341 | 0.27 342 | 0.00 348 | 0.00 343 | 0.00 340 | 0.00 341 | 0.00 339 |
|
uncertanet | | | 0.02 321 | 0.03 322 | 0.00 331 | 0.00 344 | 0.00 345 | 0.00 336 | 0.00 347 | 0.00 340 | 0.00 341 | 0.27 342 | 0.00 348 | 0.00 343 | 0.00 340 | 0.00 341 | 0.00 339 |
|
Regformer | | | 0.02 321 | 0.03 322 | 0.00 331 | 0.00 344 | 0.00 345 | 0.00 336 | 0.00 347 | 0.00 340 | 0.00 341 | 0.27 342 | 0.00 348 | 0.00 343 | 0.00 340 | 0.00 341 | 0.00 339 |
|
ab-mvs-re | | | 8.30 319 | 11.06 320 | 0.00 331 | 0.00 344 | 0.00 345 | 0.00 336 | 0.00 347 | 0.00 340 | 0.00 341 | 99.58 154 | 0.00 348 | 0.00 343 | 0.00 340 | 0.00 341 | 0.00 339 |
|
uanet | | | 0.02 321 | 0.03 322 | 0.00 331 | 0.00 344 | 0.00 345 | 0.00 336 | 0.00 347 | 0.00 340 | 0.00 341 | 0.27 342 | 0.00 348 | 0.00 343 | 0.00 340 | 0.00 341 | 0.00 339 |
|
ESAPD | | | | | | | | | 99.47 126 | | | | | | | | |
|
sam_mvs1 | | | | | | | | | | | | | 94.86 174 | | | | |
|
sam_mvs | | | | | | | | | | | | | 94.72 187 | | | | |
|
MTGPA | | | | | | | | | 99.47 126 | | | | | | | | |
|
MTMP | | | | | | | | | 98.88 282 | | | | | | | | |
|
test9_res | | | | | | | | | | | | | | | 97.49 188 | 99.72 83 | 99.75 53 |
|
agg_prior2 | | | | | | | | | | | | | | | 97.21 204 | 99.73 82 | 99.75 53 |
|
test_prior4 | | | | | | | 99.56 49 | 98.99 268 | | | | | | | | | |
|
test_prior2 | | | | | | | | 98.96 277 | | 98.34 66 | 99.01 177 | 99.52 171 | 98.68 49 | | 97.96 145 | 99.74 79 | |
|
æ–°å‡ ä½•2 | | | | | | | | 99.01 266 | | | | | | | | | |
|
旧先验1 | | | | | | 99.74 57 | 99.59 46 | | 99.54 61 | | | 99.69 111 | 98.47 58 | | | 99.68 93 | 99.73 63 |
|
原ACMM2 | | | | | | | | 98.95 281 | | | | | | | | | |
|
test222 | | | | | | 99.75 47 | 99.49 61 | 98.91 286 | 99.49 103 | 96.42 228 | 99.34 109 | 99.65 127 | 98.28 71 | | | 99.69 90 | 99.72 69 |
|
segment_acmp | | | | | | | | | | | | | 98.96 20 | | | | |
|
testdata1 | | | | | | | | 98.85 290 | | 98.32 69 | | | | | | | |
|
plane_prior7 | | | | | | 99.29 167 | 97.03 237 | | | | | | | | | | |
|
plane_prior6 | | | | | | 99.27 172 | 96.98 241 | | | | | | 92.71 241 | | | | |
|
plane_prior4 | | | | | | | | | | | | 99.61 146 | | | | | |
|
plane_prior3 | | | | | | | 97.00 239 | | | 98.69 46 | 99.11 159 | | | | | | |
|
plane_prior2 | | | | | | | | 99.39 168 | | 98.97 22 | | | | | | | |
|
plane_prior1 | | | | | | 99.26 174 | | | | | | | | | | | |
|
plane_prior | | | | | | | 96.97 242 | 99.21 223 | | 98.45 59 | | | | | | 97.60 199 | |
|
n2 | | | | | | | | | 0.00 347 | | | | | | | | |
|
nn | | | | | | | | | 0.00 347 | | | | | | | | |
|
door-mid | | | | | | | | | 98.05 320 | | | | | | | | |
|
test11 | | | | | | | | | 99.35 195 | | | | | | | | |
|
door | | | | | | | | | 97.92 321 | | | | | | | | |
|
HQP5-MVS | | | | | | | 96.83 247 | | | | | | | | | | |
|
HQP-NCC | | | | | | 99.19 183 | | 98.98 272 | | 98.24 72 | 98.66 224 | | | | | | |
|
ACMP_Plane | | | | | | 99.19 183 | | 98.98 272 | | 98.24 72 | 98.66 224 | | | | | | |
|
BP-MVS | | | | | | | | | | | | | | | 97.19 206 | | |
|
HQP3-MVS | | | | | | | | | 99.39 177 | | | | | | | 97.58 201 | |
|
HQP2-MVS | | | | | | | | | | | | | 92.47 250 | | | | |
|
NP-MVS | | | | | | 99.23 177 | 96.92 245 | | | | | 99.40 207 | | | | | |
|
MDTV_nov1_ep13_2view | | | | | | | 95.18 287 | 99.35 183 | | 96.84 199 | 99.58 60 | | 95.19 155 | | 97.82 156 | | 99.46 133 |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 97.19 225 | |
|
ACMMP++ | | | | | | | | | | | | | | | | 97.43 216 | |
|
Test By Simon | | | | | | | | | | | | | 98.75 44 | | | | |
|