MSLP-MVS++ | | | 99.89 1 | 99.85 2 | 99.99 4 | 100.00 1 | 99.96 10 | 100.00 1 | 99.95 15 | 99.11 6 | 100.00 1 | 100.00 1 | 99.60 21 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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NCCC | | | 99.86 2 | 99.82 3 | 100.00 1 | 100.00 1 | 99.99 1 | 100.00 1 | 99.71 64 | 99.07 8 | 100.00 1 | 100.00 1 | 99.59 23 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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CHOSEN 280x420 | | | 99.85 3 | 99.87 1 | 99.80 98 | 99.99 46 | 99.97 8 | 99.97 209 | 99.98 13 | 98.96 21 | 100.00 1 | 100.00 1 | 99.96 3 | 99.42 217 | 100.00 1 | 100.00 1 | 100.00 1 |
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MCST-MVS | | | 99.85 3 | 99.80 4 | 100.00 1 | 100.00 1 | 99.99 1 | 100.00 1 | 99.73 56 | 99.19 5 | 100.00 1 | 100.00 1 | 99.31 58 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
CNVR-MVS | | | 99.85 3 | 99.80 4 | 100.00 1 | 100.00 1 | 99.99 1 | 100.00 1 | 99.77 46 | 99.07 8 | 100.00 1 | 100.00 1 | 99.39 52 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
APDe-MVS | | | 99.84 6 | 99.78 6 | 99.99 4 | 100.00 1 | 99.98 5 | 100.00 1 | 99.44 114 | 99.06 10 | 100.00 1 | 100.00 1 | 99.56 25 | 99.99 86 | 100.00 1 | 100.00 1 | 100.00 1 |
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TSAR-MVS + MP. | | | 99.82 7 | 99.77 8 | 99.99 4 | 100.00 1 | 99.96 10 | 100.00 1 | 99.43 123 | 99.05 12 | 100.00 1 | 100.00 1 | 99.45 42 | 99.99 86 | 100.00 1 | 100.00 1 | 100.00 1 |
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HPM-MVS++ | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | 99.82 7 | 99.76 10 | 99.99 4 | 99.99 46 | 99.98 5 | 100.00 1 | 99.83 40 | 98.88 28 | 99.96 91 | 100.00 1 | 99.21 75 | 100.00 1 | 100.00 1 | 100.00 1 | 99.99 90 |
|
HSP-MVS | | | 99.81 9 | 99.77 8 | 99.94 62 | 100.00 1 | 99.86 69 | 100.00 1 | 99.42 130 | 98.87 30 | 100.00 1 | 100.00 1 | 99.65 20 | 99.96 118 | 100.00 1 | 100.00 1 | 100.00 1 |
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test_prior3 | | | 99.81 9 | 99.78 6 | 99.90 75 | 100.00 1 | 99.75 88 | 100.00 1 | 99.73 56 | 98.82 34 | 100.00 1 | 100.00 1 | 99.47 39 | 99.97 103 | 100.00 1 | 100.00 1 | 100.00 1 |
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SD-MVS | | | 99.81 9 | 99.75 12 | 99.99 4 | 99.99 46 | 99.96 10 | 100.00 1 | 99.42 130 | 99.01 18 | 100.00 1 | 100.00 1 | 99.33 54 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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ESAPD | | | 99.79 12 | 99.73 14 | 99.99 4 | 99.99 46 | 99.98 5 | 100.00 1 | 99.42 130 | 98.91 26 | 100.00 1 | 100.00 1 | 99.22 73 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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XVS | | | 99.79 12 | 99.73 14 | 99.98 16 | 100.00 1 | 99.94 27 | 100.00 1 | 99.75 51 | 98.67 41 | 100.00 1 | 100.00 1 | 99.16 80 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
SteuartSystems-ACMMP | | | 99.78 14 | 99.71 17 | 99.98 16 | 99.76 133 | 99.95 19 | 100.00 1 | 99.42 130 | 98.69 39 | 100.00 1 | 100.00 1 | 99.52 28 | 99.99 86 | 100.00 1 | 100.00 1 | 100.00 1 |
Skip Steuart: Steuart Systems R&D Blog. |
PAPM | | | 99.78 14 | 99.76 10 | 99.85 88 | 99.01 229 | 99.95 19 | 100.00 1 | 99.75 51 | 99.37 3 | 99.99 79 | 100.00 1 | 99.76 16 | 99.60 184 | 100.00 1 | 100.00 1 | 100.00 1 |
|
DP-MVS Recon | | | 99.76 16 | 99.69 19 | 99.98 16 | 100.00 1 | 99.95 19 | 100.00 1 | 99.52 77 | 97.99 82 | 99.99 79 | 100.00 1 | 99.72 17 | 100.00 1 | 99.96 67 | 100.00 1 | 100.00 1 |
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PAPR | | | 99.76 16 | 99.68 22 | 99.99 4 | 100.00 1 | 99.96 10 | 100.00 1 | 99.47 84 | 98.16 67 | 100.00 1 | 100.00 1 | 99.51 30 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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#test# | | | 99.75 18 | 99.68 22 | 99.96 36 | 100.00 1 | 99.89 51 | 100.00 1 | 99.76 47 | 98.07 77 | 100.00 1 | 100.00 1 | 99.31 58 | 100.00 1 | 99.99 44 | 100.00 1 | 100.00 1 |
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Regformer-1 | | | 99.75 18 | 99.68 22 | 99.98 16 | 100.00 1 | 99.94 27 | 100.00 1 | 99.44 114 | 98.43 50 | 100.00 1 | 100.00 1 | 99.23 72 | 99.99 86 | 99.99 44 | 100.00 1 | 100.00 1 |
|
Regformer-2 | | | 99.75 18 | 99.68 22 | 99.97 24 | 100.00 1 | 99.94 27 | 100.00 1 | 99.44 114 | 98.42 52 | 100.00 1 | 100.00 1 | 99.22 73 | 99.99 86 | 99.99 44 | 100.00 1 | 100.00 1 |
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DeepC-MVS_fast | | 98.92 1 | 99.75 18 | 99.67 27 | 99.99 4 | 99.99 46 | 99.96 10 | 99.73 267 | 99.52 77 | 99.06 10 | 100.00 1 | 100.00 1 | 98.80 108 | 100.00 1 | 99.95 73 | 100.00 1 | 100.00 1 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
MG-MVS | | | 99.75 18 | 99.68 22 | 99.97 24 | 100.00 1 | 99.91 39 | 99.98 202 | 99.47 84 | 99.09 7 | 100.00 1 | 100.00 1 | 98.59 116 | 100.00 1 | 99.95 73 | 100.00 1 | 100.00 1 |
|
HFP-MVS | | | 99.74 23 | 99.67 27 | 99.96 36 | 100.00 1 | 99.89 51 | 100.00 1 | 99.76 47 | 97.95 89 | 100.00 1 | 100.00 1 | 99.31 58 | 100.00 1 | 99.99 44 | 100.00 1 | 100.00 1 |
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ACMMPR | | | 99.74 23 | 99.67 27 | 99.96 36 | 100.00 1 | 99.89 51 | 100.00 1 | 99.76 47 | 97.95 89 | 100.00 1 | 100.00 1 | 99.29 65 | 100.00 1 | 99.99 44 | 100.00 1 | 100.00 1 |
|
PAPM_NR | | | 99.74 23 | 99.66 30 | 99.99 4 | 100.00 1 | 99.96 10 | 100.00 1 | 99.47 84 | 97.87 96 | 100.00 1 | 100.00 1 | 99.60 21 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
Regformer-3 | | | 99.73 26 | 99.65 31 | 99.96 36 | 100.00 1 | 99.89 51 | 100.00 1 | 99.44 114 | 98.40 53 | 100.00 1 | 100.00 1 | 99.03 90 | 99.97 103 | 99.99 44 | 100.00 1 | 100.00 1 |
|
Regformer-4 | | | 99.73 26 | 99.65 31 | 99.95 47 | 100.00 1 | 99.89 51 | 100.00 1 | 99.44 114 | 98.40 53 | 100.00 1 | 100.00 1 | 99.03 90 | 99.97 103 | 99.99 44 | 100.00 1 | 100.00 1 |
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CDPH-MVS | | | 99.73 26 | 99.64 35 | 99.99 4 | 100.00 1 | 99.97 8 | 100.00 1 | 99.42 130 | 98.02 80 | 100.00 1 | 100.00 1 | 99.32 57 | 99.99 86 | 100.00 1 | 100.00 1 | 100.00 1 |
|
region2R | | | 99.72 29 | 99.64 35 | 99.97 24 | 100.00 1 | 99.90 45 | 100.00 1 | 99.74 54 | 97.86 97 | 100.00 1 | 100.00 1 | 99.19 77 | 100.00 1 | 99.99 44 | 100.00 1 | 100.00 1 |
|
API-MVS | | | 99.72 29 | 99.70 18 | 99.79 102 | 99.97 78 | 99.37 132 | 99.96 212 | 99.94 18 | 98.48 48 | 100.00 1 | 100.00 1 | 98.92 100 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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CNLPA | | | 99.72 29 | 99.65 31 | 99.91 72 | 99.97 78 | 99.72 98 | 100.00 1 | 99.47 84 | 98.43 50 | 99.88 132 | 100.00 1 | 99.14 82 | 100.00 1 | 99.97 65 | 100.00 1 | 100.00 1 |
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train_agg | | | 99.71 32 | 99.63 39 | 99.97 24 | 100.00 1 | 99.95 19 | 100.00 1 | 99.42 130 | 97.70 110 | 100.00 1 | 100.00 1 | 99.51 30 | 99.97 103 | 100.00 1 | 100.00 1 | 100.00 1 |
|
agg_prior3 | | | 99.71 32 | 99.63 39 | 99.97 24 | 100.00 1 | 99.95 19 | 100.00 1 | 99.42 130 | 97.71 109 | 100.00 1 | 100.00 1 | 99.51 30 | 99.97 103 | 100.00 1 | 100.00 1 | 100.00 1 |
|
agg_prior1 | | | 99.71 32 | 99.63 39 | 99.95 47 | 100.00 1 | 99.88 61 | 100.00 1 | 99.42 130 | 97.72 106 | 100.00 1 | 100.00 1 | 99.51 30 | 99.97 103 | 100.00 1 | 100.00 1 | 100.00 1 |
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MVS_111021_HR | | | 99.71 32 | 99.63 39 | 99.93 65 | 99.95 84 | 99.83 75 | 100.00 1 | 100.00 1 | 98.89 27 | 100.00 1 | 100.00 1 | 97.85 131 | 99.95 124 | 100.00 1 | 100.00 1 | 100.00 1 |
|
EI-MVSNet-Vis-set | | | 99.70 36 | 99.64 35 | 99.87 84 | 100.00 1 | 99.64 108 | 99.98 202 | 99.44 114 | 98.35 60 | 99.99 79 | 100.00 1 | 99.04 87 | 99.96 118 | 99.98 58 | 100.00 1 | 100.00 1 |
|
MVS_111021_LR | | | 99.70 36 | 99.65 31 | 99.88 83 | 99.96 83 | 99.70 103 | 100.00 1 | 99.97 14 | 98.96 21 | 100.00 1 | 100.00 1 | 97.93 130 | 99.95 124 | 99.99 44 | 100.00 1 | 100.00 1 |
|
PLC | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | 98.56 2 | 99.70 36 | 99.74 13 | 99.58 137 | 100.00 1 | 98.79 171 | 100.00 1 | 99.54 76 | 98.58 46 | 99.96 91 | 100.00 1 | 99.59 23 | 100.00 1 | 100.00 1 | 100.00 1 | 99.94 117 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
SMA-MVS | | | 99.69 39 | 99.59 46 | 99.98 16 | 99.99 46 | 99.93 32 | 100.00 1 | 99.43 123 | 97.50 133 | 100.00 1 | 100.00 1 | 99.43 47 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
EI-MVSNet-UG-set | | | 99.69 39 | 99.63 39 | 99.87 84 | 99.99 46 | 99.64 108 | 99.95 218 | 99.44 114 | 98.35 60 | 100.00 1 | 100.00 1 | 98.98 92 | 99.97 103 | 99.98 58 | 100.00 1 | 100.00 1 |
|
PGM-MVS | | | 99.69 39 | 99.61 44 | 99.95 47 | 99.99 46 | 99.85 73 | 100.00 1 | 99.58 74 | 97.69 112 | 100.00 1 | 100.00 1 | 99.44 43 | 100.00 1 | 99.79 94 | 100.00 1 | 100.00 1 |
|
mPP-MVS | | | 99.69 39 | 99.60 45 | 99.97 24 | 100.00 1 | 99.91 39 | 100.00 1 | 99.42 130 | 97.91 92 | 100.00 1 | 100.00 1 | 99.04 87 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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zzz-MVS | | | 99.68 43 | 99.59 46 | 99.97 24 | 99.99 46 | 99.91 39 | 100.00 1 | 99.42 130 | 98.32 62 | 99.94 117 | 100.00 1 | 98.65 113 | 100.00 1 | 99.96 67 | 100.00 1 | 100.00 1 |
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MTAPA | | | 99.68 43 | 99.59 46 | 99.97 24 | 99.99 46 | 99.91 39 | 100.00 1 | 99.42 130 | 98.32 62 | 99.94 117 | 100.00 1 | 98.65 113 | 100.00 1 | 99.96 67 | 100.00 1 | 100.00 1 |
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APD-MVS | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | 99.68 43 | 99.58 49 | 99.97 24 | 99.99 46 | 99.96 10 | 100.00 1 | 99.42 130 | 97.53 131 | 100.00 1 | 100.00 1 | 99.27 69 | 99.97 103 | 100.00 1 | 100.00 1 | 100.00 1 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
ACMMP_Plus | | | 99.67 46 | 99.57 51 | 99.97 24 | 99.98 74 | 99.92 36 | 100.00 1 | 99.42 130 | 97.83 98 | 100.00 1 | 100.00 1 | 98.89 103 | 100.00 1 | 99.98 58 | 100.00 1 | 100.00 1 |
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CP-MVS | | | 99.67 46 | 99.58 49 | 99.95 47 | 100.00 1 | 99.84 74 | 100.00 1 | 99.42 130 | 97.77 103 | 100.00 1 | 100.00 1 | 99.07 84 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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APD-MVS_3200maxsize | | | 99.65 48 | 99.55 55 | 99.97 24 | 99.99 46 | 99.91 39 | 100.00 1 | 99.48 83 | 97.54 130 | 100.00 1 | 100.00 1 | 98.97 93 | 99.99 86 | 99.98 58 | 100.00 1 | 100.00 1 |
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ACMMP | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | 99.65 48 | 99.57 51 | 99.89 78 | 99.99 46 | 99.66 106 | 99.75 262 | 99.73 56 | 98.16 67 | 99.75 153 | 100.00 1 | 98.90 102 | 100.00 1 | 99.96 67 | 99.88 108 | 100.00 1 |
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 |
GST-MVS | | | 99.64 50 | 99.53 56 | 99.95 47 | 100.00 1 | 99.86 69 | 100.00 1 | 99.79 44 | 97.72 106 | 99.95 115 | 100.00 1 | 98.39 122 | 100.00 1 | 99.96 67 | 99.99 87 | 100.00 1 |
|
PS-MVSNAJ | | | 99.64 50 | 99.57 51 | 99.85 88 | 99.78 129 | 99.81 81 | 99.95 218 | 99.42 130 | 98.38 56 | 100.00 1 | 100.00 1 | 98.75 110 | 100.00 1 | 99.88 81 | 99.99 87 | 99.74 196 |
|
F-COLMAP | | | 99.64 50 | 99.64 35 | 99.67 121 | 99.99 46 | 99.07 155 | 100.00 1 | 99.44 114 | 98.30 64 | 99.90 126 | 100.00 1 | 99.18 78 | 99.99 86 | 99.91 77 | 100.00 1 | 99.94 117 |
|
1121 | | | 99.63 53 | 99.51 57 | 99.99 4 | 99.99 46 | 99.96 10 | 99.24 315 | 99.74 54 | 97.89 93 | 100.00 1 | 100.00 1 | 99.39 52 | 100.00 1 | 99.33 144 | 100.00 1 | 100.00 1 |
|
EPNet | | | 99.62 54 | 99.69 19 | 99.42 148 | 99.99 46 | 98.37 189 | 100.00 1 | 99.89 38 | 98.83 32 | 100.00 1 | 100.00 1 | 98.97 93 | 100.00 1 | 99.90 78 | 99.61 120 | 99.89 145 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
DELS-MVS | | | 99.62 54 | 99.56 54 | 99.82 92 | 99.92 93 | 99.45 123 | 100.00 1 | 99.78 45 | 98.92 25 | 99.73 154 | 100.00 1 | 97.70 134 | 100.00 1 | 99.93 75 | 100.00 1 | 100.00 1 |
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 |
MP-MVS-pluss | | | 99.61 56 | 99.50 58 | 99.97 24 | 99.98 74 | 99.92 36 | 100.00 1 | 99.42 130 | 97.53 131 | 99.77 150 | 100.00 1 | 98.77 109 | 100.00 1 | 99.99 44 | 100.00 1 | 99.99 90 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
MP-MVS | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | 99.61 56 | 99.49 60 | 99.98 16 | 99.99 46 | 99.94 27 | 100.00 1 | 99.42 130 | 97.82 100 | 99.99 79 | 100.00 1 | 98.20 124 | 100.00 1 | 99.99 44 | 100.00 1 | 100.00 1 |
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo. |
TSAR-MVS + GP. | | | 99.61 56 | 99.69 19 | 99.35 155 | 99.99 46 | 98.06 220 | 100.00 1 | 99.36 192 | 99.83 2 | 100.00 1 | 100.00 1 | 98.95 96 | 99.99 86 | 100.00 1 | 99.11 127 | 100.00 1 |
|
HPM-MVS_fast | | | 99.60 59 | 99.49 60 | 99.91 72 | 99.99 46 | 99.78 85 | 100.00 1 | 99.42 130 | 97.09 160 | 100.00 1 | 100.00 1 | 98.95 96 | 99.96 118 | 99.98 58 | 100.00 1 | 100.00 1 |
|
HPM-MVS | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | 99.59 60 | 99.50 58 | 99.89 78 | 100.00 1 | 99.70 103 | 100.00 1 | 99.42 130 | 97.46 136 | 100.00 1 | 100.00 1 | 98.60 115 | 99.96 118 | 99.99 44 | 100.00 1 | 100.00 1 |
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
WTY-MVS | | | 99.54 61 | 99.40 63 | 99.95 47 | 99.81 104 | 99.93 32 | 100.00 1 | 100.00 1 | 97.98 84 | 99.84 134 | 100.00 1 | 98.94 98 | 99.98 99 | 99.86 83 | 98.21 166 | 99.94 117 |
|
abl_6 | | | 99.53 62 | 99.40 63 | 99.92 71 | 100.00 1 | 99.76 86 | 100.00 1 | 99.42 130 | 97.21 152 | 100.00 1 | 100.00 1 | 98.12 126 | 100.00 1 | 99.82 93 | 100.00 1 | 100.00 1 |
|
tfpn_ndepth | | | 99.52 63 | 99.39 65 | 99.89 78 | 99.90 96 | 99.83 75 | 100.00 1 | 99.72 62 | 97.95 89 | 99.96 91 | 99.98 149 | 99.94 4 | 99.85 151 | 99.17 154 | 97.91 179 | 100.00 1 |
|
0601test | | | 99.51 64 | 99.37 69 | 99.95 47 | 99.82 101 | 99.90 45 | 100.00 1 | 99.47 84 | 97.48 134 | 100.00 1 | 100.00 1 | 99.80 6 | 100.00 1 | 99.98 58 | 97.75 194 | 99.94 117 |
|
Anonymous20240521 | | | 99.51 64 | 99.37 69 | 99.95 47 | 99.82 101 | 99.90 45 | 100.00 1 | 99.47 84 | 97.48 134 | 100.00 1 | 100.00 1 | 99.80 6 | 100.00 1 | 99.98 58 | 97.75 194 | 99.94 117 |
|
xiu_mvs_v2_base | | | 99.51 64 | 99.41 62 | 99.82 92 | 99.70 138 | 99.73 91 | 99.92 226 | 99.40 164 | 98.15 69 | 100.00 1 | 100.00 1 | 98.50 119 | 100.00 1 | 99.85 85 | 99.13 126 | 99.74 196 |
|
HY-MVS | | 96.53 9 | 99.50 67 | 99.35 73 | 99.96 36 | 99.81 104 | 99.93 32 | 99.64 284 | 100.00 1 | 97.97 86 | 99.84 134 | 99.85 198 | 98.94 98 | 99.99 86 | 99.86 83 | 98.23 165 | 99.95 113 |
|
PHI-MVS | | | 99.50 67 | 99.39 65 | 99.82 92 | 100.00 1 | 99.45 123 | 100.00 1 | 99.94 18 | 96.38 204 | 100.00 1 | 100.00 1 | 98.18 125 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
CPTT-MVS | | | 99.49 69 | 99.38 67 | 99.85 88 | 100.00 1 | 99.54 113 | 100.00 1 | 99.42 130 | 97.58 128 | 99.98 84 | 100.00 1 | 97.43 141 | 100.00 1 | 99.99 44 | 100.00 1 | 100.00 1 |
|
MAR-MVS | | | 99.49 69 | 99.36 71 | 99.89 78 | 99.97 78 | 99.66 106 | 99.74 263 | 99.95 15 | 97.89 93 | 100.00 1 | 100.00 1 | 96.71 166 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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 |
PVSNet_Blended | | | 99.48 71 | 99.36 71 | 99.83 91 | 99.98 74 | 99.60 110 | 100.00 1 | 100.00 1 | 97.79 102 | 100.00 1 | 100.00 1 | 96.57 169 | 99.99 86 | 100.00 1 | 99.88 108 | 99.90 140 |
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tfpn1000 | | | 99.47 72 | 99.34 75 | 99.87 84 | 99.89 98 | 99.80 83 | 100.00 1 | 99.72 62 | 97.83 98 | 99.96 91 | 99.98 149 | 99.94 4 | 99.82 159 | 98.87 170 | 97.87 182 | 100.00 1 |
|
sss | | | 99.45 73 | 99.34 75 | 99.80 98 | 99.76 133 | 99.50 115 | 100.00 1 | 99.91 37 | 97.72 106 | 99.98 84 | 99.94 184 | 98.45 120 | 100.00 1 | 99.53 129 | 98.75 135 | 99.89 145 |
|
AdaColmap | ![Method available as binary. binary](img/icon_binary.png) | | 99.44 74 | 99.26 79 | 99.95 47 | 100.00 1 | 99.86 69 | 99.70 273 | 99.99 10 | 98.53 47 | 99.90 126 | 100.00 1 | 95.34 191 | 100.00 1 | 99.92 76 | 100.00 1 | 100.00 1 |
|
thisisatest0515 | | | 99.42 75 | 99.31 77 | 99.74 113 | 99.59 162 | 99.55 112 | 100.00 1 | 99.46 99 | 96.65 186 | 99.92 123 | 100.00 1 | 99.44 43 | 99.85 151 | 99.09 159 | 99.63 119 | 99.81 177 |
|
CANet | | | 99.40 76 | 99.24 82 | 99.89 78 | 99.99 46 | 99.76 86 | 100.00 1 | 99.73 56 | 98.40 53 | 99.78 149 | 100.00 1 | 95.28 192 | 99.96 118 | 100.00 1 | 99.99 87 | 99.96 108 |
|
114514_t | | | 99.39 77 | 99.25 80 | 99.81 95 | 99.97 78 | 99.48 122 | 100.00 1 | 99.42 130 | 95.53 231 | 100.00 1 | 100.00 1 | 98.37 123 | 99.95 124 | 99.97 65 | 100.00 1 | 100.00 1 |
|
alignmvs | | | 99.38 78 | 99.21 86 | 99.91 72 | 99.73 136 | 99.92 36 | 100.00 1 | 99.51 81 | 97.61 124 | 100.00 1 | 100.00 1 | 99.06 85 | 99.93 137 | 99.83 88 | 97.12 214 | 99.90 140 |
|
1314 | | | 99.38 78 | 99.19 90 | 99.96 36 | 98.88 244 | 99.89 51 | 99.24 315 | 99.93 32 | 98.88 28 | 98.79 214 | 100.00 1 | 97.02 147 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
thisisatest0530 | | | 99.37 80 | 99.27 78 | 99.69 118 | 99.59 162 | 99.41 126 | 100.00 1 | 99.46 99 | 96.46 198 | 99.90 126 | 100.00 1 | 99.44 43 | 99.85 151 | 98.97 163 | 99.58 121 | 99.80 186 |
|
xiu_mvs_v1_base_debu | | | 99.35 81 | 99.21 86 | 99.79 102 | 99.67 143 | 99.71 99 | 99.78 253 | 99.36 192 | 98.13 71 | 100.00 1 | 100.00 1 | 97.00 153 | 100.00 1 | 99.83 88 | 99.07 128 | 99.66 205 |
|
xiu_mvs_v1_base | | | 99.35 81 | 99.21 86 | 99.79 102 | 99.67 143 | 99.71 99 | 99.78 253 | 99.36 192 | 98.13 71 | 100.00 1 | 100.00 1 | 97.00 153 | 100.00 1 | 99.83 88 | 99.07 128 | 99.66 205 |
|
xiu_mvs_v1_base_debi | | | 99.35 81 | 99.21 86 | 99.79 102 | 99.67 143 | 99.71 99 | 99.78 253 | 99.36 192 | 98.13 71 | 100.00 1 | 100.00 1 | 97.00 153 | 100.00 1 | 99.83 88 | 99.07 128 | 99.66 205 |
|
tttt0517 | | | 99.34 84 | 99.23 84 | 99.67 121 | 99.57 169 | 99.38 129 | 100.00 1 | 99.46 99 | 96.33 207 | 99.89 130 | 100.00 1 | 99.44 43 | 99.84 155 | 98.93 166 | 99.46 124 | 99.78 188 |
|
PVSNet_Blended_VisFu | | | 99.33 85 | 99.18 91 | 99.78 110 | 99.82 101 | 99.49 118 | 100.00 1 | 99.95 15 | 97.36 142 | 99.63 165 | 100.00 1 | 96.45 173 | 99.95 124 | 99.79 94 | 99.65 118 | 99.89 145 |
|
conf0.01 | | | 99.32 86 | 99.16 92 | 99.80 98 | 99.79 122 | 99.73 91 | 100.00 1 | 99.71 64 | 97.66 113 | 99.71 157 | 100.00 1 | 99.78 8 | 99.70 176 | 98.15 205 | 97.67 203 | 99.97 97 |
|
conf0.002 | | | 99.32 86 | 99.16 92 | 99.80 98 | 99.79 122 | 99.73 91 | 100.00 1 | 99.71 64 | 97.66 113 | 99.71 157 | 100.00 1 | 99.78 8 | 99.70 176 | 98.15 205 | 97.67 203 | 99.97 97 |
|
thresconf0.02 | | | 99.32 86 | 99.16 92 | 99.79 102 | 99.79 122 | 99.73 91 | 100.00 1 | 99.71 64 | 97.66 113 | 99.71 157 | 100.00 1 | 99.78 8 | 99.70 176 | 98.15 205 | 97.67 203 | 99.94 117 |
|
tfpn_n400 | | | 99.32 86 | 99.16 92 | 99.79 102 | 99.79 122 | 99.73 91 | 100.00 1 | 99.71 64 | 97.66 113 | 99.71 157 | 100.00 1 | 99.78 8 | 99.70 176 | 98.15 205 | 97.67 203 | 99.94 117 |
|
tfpnconf | | | 99.32 86 | 99.16 92 | 99.79 102 | 99.79 122 | 99.73 91 | 100.00 1 | 99.71 64 | 97.66 113 | 99.71 157 | 100.00 1 | 99.78 8 | 99.70 176 | 98.15 205 | 97.67 203 | 99.94 117 |
|
tfpnview11 | | | 99.32 86 | 99.16 92 | 99.79 102 | 99.79 122 | 99.73 91 | 100.00 1 | 99.71 64 | 97.66 113 | 99.71 157 | 100.00 1 | 99.78 8 | 99.70 176 | 98.15 205 | 97.67 203 | 99.94 117 |
|
HyFIR lowres test | | | 99.32 86 | 99.24 82 | 99.58 137 | 99.95 84 | 99.26 141 | 100.00 1 | 99.99 10 | 96.72 180 | 99.29 184 | 99.91 190 | 99.49 36 | 99.47 212 | 99.74 102 | 98.08 173 | 100.00 1 |
|
LS3D | | | 99.31 93 | 99.13 99 | 99.87 84 | 99.99 46 | 99.71 99 | 99.55 291 | 99.46 99 | 97.32 146 | 99.82 145 | 100.00 1 | 96.85 163 | 99.97 103 | 99.14 155 | 100.00 1 | 99.92 131 |
|
PVSNet | | 94.91 18 | 99.30 94 | 99.25 80 | 99.44 145 | 100.00 1 | 98.32 195 | 100.00 1 | 99.86 39 | 98.04 79 | 100.00 1 | 100.00 1 | 96.10 178 | 100.00 1 | 99.55 123 | 99.73 115 | 100.00 1 |
|
lupinMVS | | | 99.29 95 | 99.16 92 | 99.69 118 | 99.45 194 | 99.49 118 | 100.00 1 | 99.15 268 | 97.45 137 | 99.97 88 | 100.00 1 | 96.76 164 | 99.76 169 | 99.67 111 | 100.00 1 | 99.81 177 |
|
CSCG | | | 99.28 96 | 99.35 73 | 99.05 173 | 99.99 46 | 97.15 259 | 100.00 1 | 99.47 84 | 97.44 138 | 99.42 177 | 100.00 1 | 97.83 132 | 100.00 1 | 99.99 44 | 100.00 1 | 100.00 1 |
|
thres200 | | | 99.27 97 | 99.04 102 | 99.96 36 | 99.81 104 | 99.90 45 | 100.00 1 | 99.94 18 | 97.31 148 | 99.83 136 | 99.96 168 | 97.04 144 | 100.00 1 | 99.62 116 | 97.88 181 | 99.98 92 |
|
OMC-MVS | | | 99.27 97 | 99.38 67 | 98.96 181 | 99.95 84 | 97.06 263 | 100.00 1 | 99.40 164 | 98.83 32 | 99.88 132 | 100.00 1 | 97.01 148 | 99.86 147 | 99.47 132 | 99.84 111 | 99.97 97 |
|
tfpn200view9 | | | 99.26 99 | 99.03 103 | 99.96 36 | 99.81 104 | 99.89 51 | 100.00 1 | 99.94 18 | 97.23 149 | 99.83 136 | 99.96 168 | 97.04 144 | 100.00 1 | 99.59 117 | 97.85 184 | 99.98 92 |
|
thres400 | | | 99.26 99 | 99.03 103 | 99.95 47 | 99.81 104 | 99.89 51 | 100.00 1 | 99.94 18 | 97.23 149 | 99.83 136 | 99.96 168 | 97.04 144 | 100.00 1 | 99.59 117 | 97.85 184 | 99.97 97 |
|
conf200view11 | | | 99.25 101 | 99.01 105 | 99.95 47 | 99.81 104 | 99.87 64 | 100.00 1 | 99.94 18 | 97.13 156 | 99.83 136 | 99.96 168 | 97.01 148 | 100.00 1 | 99.59 117 | 97.85 184 | 99.97 97 |
|
thres100view900 | | | 99.25 101 | 99.01 105 | 99.95 47 | 99.81 104 | 99.87 64 | 100.00 1 | 99.94 18 | 97.13 156 | 99.83 136 | 99.96 168 | 97.01 148 | 100.00 1 | 99.59 117 | 97.85 184 | 99.98 92 |
|
EPMVS | | | 99.25 101 | 99.13 99 | 99.60 130 | 99.60 158 | 99.20 148 | 99.60 287 | 100.00 1 | 96.93 171 | 99.92 123 | 99.36 261 | 99.05 86 | 99.71 175 | 98.77 175 | 98.94 132 | 99.90 140 |
|
tfpn111 | | | 99.24 104 | 99.00 107 | 99.95 47 | 99.81 104 | 99.87 64 | 100.00 1 | 99.94 18 | 97.13 156 | 99.83 136 | 99.96 168 | 97.01 148 | 100.00 1 | 99.54 126 | 97.77 192 | 99.97 97 |
|
thres600view7 | | | 99.24 104 | 99.00 107 | 99.95 47 | 99.81 104 | 99.87 64 | 100.00 1 | 99.94 18 | 97.13 156 | 99.83 136 | 99.96 168 | 97.01 148 | 100.00 1 | 99.54 126 | 97.77 192 | 99.97 97 |
|
MVS | | | 99.22 106 | 98.96 112 | 99.98 16 | 99.00 233 | 99.95 19 | 99.24 315 | 99.94 18 | 98.14 70 | 98.88 206 | 100.00 1 | 95.63 189 | 100.00 1 | 99.85 85 | 100.00 1 | 100.00 1 |
|
DWT-MVSNet_test | | | 99.22 106 | 99.22 85 | 99.22 166 | 99.56 172 | 97.98 224 | 99.89 232 | 99.39 179 | 97.20 153 | 99.96 91 | 100.00 1 | 99.52 28 | 99.82 159 | 99.11 158 | 98.34 158 | 99.87 165 |
|
view600 | | | 99.18 108 | 98.93 118 | 99.93 65 | 99.81 104 | 99.83 75 | 100.00 1 | 99.94 18 | 96.96 166 | 99.54 167 | 99.96 168 | 96.99 156 | 100.00 1 | 99.43 133 | 97.75 194 | 99.97 97 |
|
view800 | | | 99.18 108 | 98.93 118 | 99.93 65 | 99.81 104 | 99.83 75 | 100.00 1 | 99.94 18 | 96.96 166 | 99.54 167 | 99.96 168 | 96.99 156 | 100.00 1 | 99.43 133 | 97.75 194 | 99.97 97 |
|
conf0.05thres1000 | | | 99.18 108 | 98.93 118 | 99.93 65 | 99.81 104 | 99.83 75 | 100.00 1 | 99.94 18 | 96.96 166 | 99.54 167 | 99.96 168 | 96.99 156 | 100.00 1 | 99.43 133 | 97.75 194 | 99.97 97 |
|
tfpn | | | 99.18 108 | 98.93 118 | 99.93 65 | 99.81 104 | 99.83 75 | 100.00 1 | 99.94 18 | 96.96 166 | 99.54 167 | 99.96 168 | 96.99 156 | 100.00 1 | 99.43 133 | 97.75 194 | 99.97 97 |
|
PatchFormer-LS_test | | | 99.14 112 | 99.12 101 | 99.19 167 | 99.54 173 | 97.86 234 | 99.66 282 | 99.40 164 | 96.94 170 | 99.96 91 | 100.00 1 | 99.29 65 | 99.84 155 | 98.96 164 | 98.29 161 | 99.88 158 |
|
PMMVS | | | 99.12 113 | 98.97 111 | 99.58 137 | 99.57 169 | 98.98 164 | 100.00 1 | 99.30 217 | 97.14 155 | 99.96 91 | 100.00 1 | 96.53 172 | 99.82 159 | 99.70 106 | 98.49 141 | 99.94 117 |
|
jason | | | 99.11 114 | 98.96 112 | 99.59 133 | 99.17 215 | 99.31 136 | 100.00 1 | 99.13 277 | 97.38 141 | 99.83 136 | 100.00 1 | 95.54 190 | 99.72 174 | 99.57 122 | 99.97 98 | 99.74 196 |
jason: jason. |
EPP-MVSNet | | | 99.10 115 | 99.00 107 | 99.40 150 | 99.51 187 | 98.68 176 | 99.92 226 | 99.43 123 | 95.47 238 | 99.65 164 | 100.00 1 | 99.51 30 | 99.76 169 | 99.53 129 | 98.00 175 | 99.75 192 |
|
TESTMET0.1,1 | | | 99.08 116 | 98.96 112 | 99.44 145 | 99.63 152 | 99.38 129 | 100.00 1 | 99.45 105 | 95.53 231 | 99.48 174 | 100.00 1 | 99.71 18 | 99.02 233 | 96.84 246 | 99.99 87 | 99.91 132 |
|
IS-MVSNet | | | 99.08 116 | 98.91 123 | 99.59 133 | 99.65 147 | 99.38 129 | 99.78 253 | 99.24 243 | 96.70 181 | 99.51 172 | 100.00 1 | 98.44 121 | 99.52 206 | 98.47 192 | 98.39 150 | 99.88 158 |
|
UA-Net | | | 99.06 118 | 98.83 130 | 99.74 113 | 99.52 184 | 99.40 128 | 99.08 338 | 99.45 105 | 97.64 122 | 99.83 136 | 100.00 1 | 95.80 183 | 99.94 135 | 98.35 196 | 99.80 114 | 99.88 158 |
|
casdiffmvs1 | | | 99.06 118 | 98.84 129 | 99.70 116 | 99.54 173 | 99.41 126 | 100.00 1 | 99.23 247 | 96.30 209 | 99.96 91 | 99.92 187 | 96.92 162 | 99.81 165 | 99.25 149 | 98.48 142 | 99.89 145 |
|
3Dnovator | | 95.63 14 | 99.06 118 | 98.76 137 | 99.96 36 | 98.86 247 | 99.90 45 | 99.98 202 | 99.93 32 | 98.95 24 | 98.49 238 | 100.00 1 | 92.91 220 | 100.00 1 | 99.71 104 | 100.00 1 | 100.00 1 |
|
VNet | | | 99.04 121 | 98.75 138 | 99.90 75 | 99.81 104 | 99.75 88 | 99.50 296 | 99.47 84 | 98.36 59 | 100.00 1 | 99.99 147 | 94.66 201 | 100.00 1 | 99.90 78 | 97.09 215 | 99.96 108 |
|
canonicalmvs | | | 99.03 122 | 98.73 139 | 99.94 62 | 99.75 135 | 99.95 19 | 100.00 1 | 99.30 217 | 97.64 122 | 100.00 1 | 100.00 1 | 95.22 194 | 99.97 103 | 99.76 100 | 96.90 220 | 99.91 132 |
|
test-LLR | | | 99.03 122 | 98.91 123 | 99.40 150 | 99.40 202 | 99.28 138 | 100.00 1 | 99.45 105 | 96.70 181 | 99.42 177 | 99.12 270 | 99.31 58 | 99.01 234 | 96.82 247 | 99.99 87 | 99.91 132 |
|
PatchmatchNet | ![Method available under a permissive open source license. permissive](img/icon_permissive.png) | | 99.03 122 | 98.96 112 | 99.26 163 | 99.49 192 | 98.33 192 | 99.38 304 | 99.45 105 | 96.64 187 | 99.96 91 | 99.58 246 | 99.49 36 | 99.50 209 | 97.63 225 | 99.00 131 | 99.93 128 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
3Dnovator+ | | 95.58 15 | 99.03 122 | 98.71 141 | 99.96 36 | 98.99 236 | 99.89 51 | 100.00 1 | 99.51 81 | 98.96 21 | 98.32 245 | 100.00 1 | 92.78 221 | 100.00 1 | 99.87 82 | 100.00 1 | 100.00 1 |
|
CANet_DTU | | | 99.02 126 | 98.90 126 | 99.41 149 | 99.88 99 | 98.71 174 | 100.00 1 | 99.29 221 | 98.84 31 | 100.00 1 | 100.00 1 | 94.02 207 | 100.00 1 | 98.08 212 | 99.96 100 | 99.52 211 |
|
PatchMatch-RL | | | 99.02 126 | 98.78 135 | 99.74 113 | 99.99 46 | 99.29 137 | 100.00 1 | 100.00 1 | 98.38 56 | 99.89 130 | 99.81 207 | 93.14 218 | 99.99 86 | 97.85 220 | 99.98 95 | 99.95 113 |
|
CHOSEN 1792x2688 | | | 99.00 128 | 98.91 123 | 99.25 164 | 99.90 96 | 97.79 236 | 100.00 1 | 99.99 10 | 98.79 37 | 98.28 248 | 100.00 1 | 93.63 211 | 99.95 124 | 99.66 113 | 99.95 102 | 100.00 1 |
|
DeepC-MVS | | 97.84 5 | 99.00 128 | 98.80 134 | 99.60 130 | 99.93 90 | 99.03 158 | 100.00 1 | 99.40 164 | 98.61 45 | 99.33 182 | 100.00 1 | 92.23 226 | 99.95 124 | 99.74 102 | 99.96 100 | 99.83 171 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
QAPM | | | 98.99 130 | 98.66 144 | 99.96 36 | 99.01 229 | 99.87 64 | 99.88 235 | 99.93 32 | 97.99 82 | 98.68 222 | 100.00 1 | 93.17 217 | 100.00 1 | 99.32 146 | 100.00 1 | 100.00 1 |
|
Vis-MVSNet (Re-imp) | | | 98.99 130 | 98.89 127 | 99.29 160 | 99.64 151 | 98.89 168 | 99.98 202 | 99.31 215 | 96.74 177 | 99.48 174 | 100.00 1 | 98.11 127 | 99.10 229 | 98.39 194 | 98.34 158 | 99.89 145 |
|
MVS_0304 | | | 98.98 132 | 98.66 144 | 99.94 62 | 99.95 84 | 99.86 69 | 100.00 1 | 99.29 221 | 98.38 56 | 99.81 147 | 100.00 1 | 90.60 260 | 100.00 1 | 100.00 1 | 99.91 105 | 99.95 113 |
|
tpmrst | | | 98.98 132 | 98.93 118 | 99.14 170 | 99.61 156 | 97.74 237 | 99.52 294 | 99.36 192 | 96.05 215 | 99.98 84 | 99.64 236 | 99.04 87 | 99.86 147 | 98.94 165 | 98.19 168 | 99.82 175 |
|
test-mter | | | 98.96 134 | 98.82 131 | 99.40 150 | 99.40 202 | 99.28 138 | 100.00 1 | 99.45 105 | 95.44 241 | 99.42 177 | 99.12 270 | 99.70 19 | 99.01 234 | 96.82 247 | 99.99 87 | 99.91 132 |
|
casdiffmvs | | | 98.96 134 | 98.71 141 | 99.68 120 | 99.53 178 | 99.34 134 | 99.99 184 | 99.17 266 | 96.11 214 | 99.96 91 | 99.92 187 | 96.33 175 | 99.81 165 | 99.06 161 | 98.36 156 | 99.89 145 |
|
CDS-MVSNet | | | 98.96 134 | 98.95 116 | 99.01 177 | 99.48 193 | 98.36 190 | 99.93 224 | 99.37 186 | 96.79 175 | 99.31 183 | 99.83 201 | 99.77 15 | 98.91 242 | 98.07 213 | 97.98 176 | 99.77 189 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
MVSFormer | | | 98.94 137 | 98.82 131 | 99.28 161 | 99.45 194 | 99.49 118 | 100.00 1 | 99.13 277 | 95.46 239 | 99.97 88 | 100.00 1 | 96.76 164 | 98.59 279 | 98.63 183 | 100.00 1 | 99.74 196 |
|
MVS_Test | | | 98.93 138 | 98.65 148 | 99.77 112 | 99.62 154 | 99.50 115 | 99.99 184 | 99.19 259 | 95.52 233 | 99.96 91 | 99.86 196 | 96.54 171 | 99.98 99 | 98.65 181 | 98.48 142 | 99.82 175 |
|
diffmvs1 | | | 98.91 139 | 98.66 144 | 99.65 124 | 99.60 158 | 99.27 140 | 100.00 1 | 99.22 250 | 95.81 223 | 99.95 115 | 99.81 207 | 96.59 167 | 99.85 151 | 98.60 187 | 98.39 150 | 99.81 177 |
|
1112_ss | | | 98.91 139 | 98.71 141 | 99.51 141 | 99.69 139 | 98.75 172 | 99.99 184 | 99.15 268 | 96.82 173 | 98.84 210 | 100.00 1 | 97.45 139 | 99.89 143 | 98.66 179 | 97.75 194 | 99.89 145 |
|
MSDG | | | 98.90 141 | 98.63 150 | 99.70 116 | 99.92 93 | 99.25 143 | 100.00 1 | 99.37 186 | 95.71 225 | 99.40 181 | 100.00 1 | 96.58 168 | 99.95 124 | 96.80 249 | 99.94 103 | 99.91 132 |
|
mvs-test1 | | | 98.89 142 | 98.99 110 | 98.60 199 | 99.77 131 | 95.96 277 | 100.00 1 | 98.94 316 | 97.61 124 | 99.93 122 | 99.92 187 | 95.89 180 | 99.93 137 | 99.36 141 | 99.50 122 | 99.90 140 |
|
DP-MVS | | | 98.86 143 | 98.54 158 | 99.81 95 | 99.97 78 | 99.45 123 | 99.52 294 | 99.40 164 | 94.35 261 | 98.36 242 | 100.00 1 | 96.13 177 | 99.97 103 | 99.12 157 | 100.00 1 | 100.00 1 |
|
CostFormer | | | 98.84 144 | 98.77 136 | 99.04 175 | 99.41 198 | 97.58 242 | 99.67 280 | 99.35 200 | 94.66 252 | 99.96 91 | 99.36 261 | 99.28 68 | 99.74 171 | 99.41 139 | 97.81 189 | 99.81 177 |
|
Test_1112_low_res | | | 98.83 145 | 98.60 153 | 99.51 141 | 99.69 139 | 98.75 172 | 99.99 184 | 99.14 272 | 96.81 174 | 98.84 210 | 99.06 274 | 97.45 139 | 99.89 143 | 98.66 179 | 97.75 194 | 99.89 145 |
|
diffmvs | | | 98.82 146 | 98.55 157 | 99.61 126 | 99.54 173 | 99.08 154 | 100.00 1 | 99.22 250 | 95.48 237 | 99.96 91 | 99.77 214 | 96.00 179 | 99.82 159 | 98.63 183 | 98.37 155 | 99.93 128 |
|
BH-w/o | | | 98.82 146 | 98.81 133 | 98.88 187 | 99.62 154 | 96.71 270 | 100.00 1 | 99.28 229 | 97.09 160 | 98.81 213 | 100.00 1 | 94.91 199 | 99.96 118 | 99.54 126 | 100.00 1 | 99.96 108 |
|
mvs_anonymous | | | 98.80 148 | 98.60 153 | 99.38 153 | 99.57 169 | 99.24 145 | 100.00 1 | 99.21 256 | 95.87 218 | 98.92 203 | 99.82 204 | 96.39 174 | 99.03 232 | 99.13 156 | 98.50 140 | 99.88 158 |
|
TAMVS | | | 98.76 149 | 98.73 139 | 98.86 188 | 99.44 196 | 97.69 238 | 99.57 289 | 99.34 205 | 96.57 191 | 99.12 193 | 99.81 207 | 98.83 105 | 99.16 227 | 97.97 218 | 97.91 179 | 99.73 200 |
|
OpenMVS | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | 95.20 17 | 98.76 149 | 98.41 163 | 99.78 110 | 98.89 243 | 99.81 81 | 99.99 184 | 99.76 47 | 98.02 80 | 98.02 259 | 100.00 1 | 91.44 244 | 100.00 1 | 99.63 115 | 99.97 98 | 99.55 209 |
|
dp | | | 98.72 151 | 98.61 152 | 99.03 176 | 99.53 178 | 97.39 247 | 99.45 298 | 99.39 179 | 95.62 228 | 99.94 117 | 99.52 252 | 98.83 105 | 99.82 159 | 96.77 251 | 98.42 147 | 99.89 145 |
|
tpmp4_e23 | | | 98.71 152 | 98.66 144 | 98.84 189 | 99.60 158 | 96.98 265 | 99.83 241 | 99.35 200 | 94.29 262 | 99.90 126 | 99.50 254 | 99.17 79 | 99.73 172 | 98.22 202 | 98.13 170 | 99.81 177 |
|
PVSNet_BlendedMVS | | | 98.71 152 | 98.62 151 | 98.98 180 | 99.98 74 | 99.60 110 | 100.00 1 | 100.00 1 | 97.23 149 | 100.00 1 | 99.03 285 | 96.57 169 | 99.99 86 | 100.00 1 | 94.75 248 | 97.35 318 |
|
ADS-MVSNet | | | 98.70 154 | 98.51 160 | 99.28 161 | 99.51 187 | 98.39 186 | 99.24 315 | 99.44 114 | 95.52 233 | 99.96 91 | 99.70 221 | 97.57 137 | 99.58 188 | 97.11 239 | 98.54 138 | 99.88 158 |
|
PCF-MVS | | 98.23 3 | 98.69 155 | 98.37 166 | 99.62 125 | 99.78 129 | 99.02 159 | 99.23 321 | 99.06 306 | 96.43 199 | 98.08 254 | 100.00 1 | 94.72 200 | 99.95 124 | 98.16 204 | 99.91 105 | 99.90 140 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
tpm2 | | | 98.64 156 | 98.58 155 | 98.81 192 | 99.42 197 | 97.12 260 | 99.69 277 | 99.37 186 | 93.63 282 | 99.94 117 | 99.67 229 | 98.96 95 | 99.47 212 | 98.62 186 | 97.95 177 | 99.83 171 |
|
BH-untuned | | | 98.64 156 | 98.65 148 | 98.60 199 | 99.59 162 | 96.17 276 | 100.00 1 | 99.28 229 | 96.67 185 | 98.41 241 | 100.00 1 | 94.52 202 | 99.83 157 | 99.41 139 | 100.00 1 | 99.81 177 |
|
tpmvs | | | 98.59 158 | 98.38 165 | 99.23 165 | 99.69 139 | 97.90 229 | 99.31 310 | 99.47 84 | 94.52 256 | 99.68 163 | 99.28 266 | 97.64 135 | 99.89 143 | 97.71 223 | 98.17 169 | 99.89 145 |
|
Effi-MVS+ | | | 98.58 159 | 98.24 170 | 99.61 126 | 99.60 158 | 99.26 141 | 97.85 353 | 99.10 285 | 96.22 211 | 99.97 88 | 99.89 192 | 93.75 209 | 99.77 168 | 99.43 133 | 98.34 158 | 99.81 177 |
|
MVSTER | | | 98.58 159 | 98.52 159 | 98.77 193 | 99.65 147 | 99.68 105 | 100.00 1 | 99.29 221 | 95.63 227 | 98.65 224 | 99.80 211 | 99.78 8 | 98.88 248 | 98.59 188 | 95.31 232 | 97.73 266 |
|
CVMVSNet | | | 98.56 161 | 98.47 162 | 98.82 190 | 99.11 217 | 97.67 239 | 99.74 263 | 99.47 84 | 97.57 129 | 99.06 198 | 100.00 1 | 95.72 187 | 98.97 239 | 98.21 203 | 97.33 213 | 99.83 171 |
|
AllTest | | | 98.55 162 | 98.40 164 | 98.99 178 | 99.93 90 | 97.35 250 | 100.00 1 | 99.40 164 | 97.08 162 | 99.09 194 | 99.98 149 | 93.37 213 | 99.95 124 | 96.94 242 | 99.84 111 | 99.68 203 |
|
DeepPCF-MVS | | 98.03 4 | 98.54 163 | 99.72 16 | 94.98 317 | 99.99 46 | 84.94 343 | 100.00 1 | 99.42 130 | 99.98 1 | 100.00 1 | 100.00 1 | 98.11 127 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
EPNet_dtu | | | 98.53 164 | 98.23 172 | 99.43 147 | 99.92 93 | 99.01 162 | 99.96 212 | 99.47 84 | 98.80 36 | 99.96 91 | 99.96 168 | 98.56 117 | 99.30 224 | 87.78 333 | 99.68 116 | 100.00 1 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
Vis-MVSNet | ![Method available under a permissive open source license. permissive](img/icon_permissive.png) | | 98.52 165 | 98.25 169 | 99.34 156 | 99.68 142 | 98.55 181 | 99.68 279 | 99.41 162 | 97.34 145 | 99.94 117 | 100.00 1 | 90.38 265 | 99.70 176 | 99.03 162 | 98.84 133 | 99.76 191 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
Effi-MVS+-dtu | | | 98.51 166 | 98.86 128 | 97.47 264 | 99.77 131 | 94.21 312 | 100.00 1 | 98.94 316 | 97.61 124 | 99.91 125 | 98.75 305 | 95.89 180 | 99.51 208 | 99.36 141 | 99.48 123 | 98.68 218 |
|
BH-RMVSNet | | | 98.46 167 | 98.08 176 | 99.59 133 | 99.61 156 | 99.19 149 | 100.00 1 | 99.28 229 | 97.06 164 | 98.95 202 | 100.00 1 | 88.99 283 | 99.82 159 | 98.83 173 | 100.00 1 | 99.77 189 |
|
cascas | | | 98.43 168 | 98.07 177 | 99.50 143 | 99.65 147 | 99.02 159 | 100.00 1 | 99.22 250 | 94.21 265 | 99.72 155 | 99.98 149 | 92.03 229 | 99.93 137 | 99.68 109 | 98.12 171 | 99.54 210 |
|
ab-mvs | | | 98.42 169 | 98.02 180 | 99.61 126 | 99.71 137 | 99.00 163 | 99.10 336 | 99.64 73 | 96.70 181 | 99.04 199 | 99.81 207 | 90.64 258 | 99.98 99 | 99.64 114 | 97.93 178 | 99.84 168 |
|
UGNet | | | 98.41 170 | 98.11 175 | 99.31 159 | 99.54 173 | 98.55 181 | 99.18 324 | 100.00 1 | 98.64 44 | 99.79 148 | 99.04 280 | 87.61 296 | 100.00 1 | 99.30 147 | 99.89 107 | 99.40 214 |
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 |
Fast-Effi-MVS+ | | | 98.40 171 | 98.02 180 | 99.55 140 | 99.63 152 | 99.06 156 | 100.00 1 | 99.15 268 | 95.07 243 | 99.42 177 | 99.95 180 | 93.26 216 | 99.73 172 | 97.44 231 | 98.24 164 | 99.87 165 |
|
Fast-Effi-MVS+-dtu | | | 98.38 172 | 98.56 156 | 97.82 253 | 99.58 167 | 94.44 309 | 100.00 1 | 99.16 267 | 96.75 176 | 99.51 172 | 99.63 240 | 95.03 197 | 99.60 184 | 97.71 223 | 99.67 117 | 99.42 213 |
|
XVG-OURS | | | 98.30 173 | 98.36 167 | 98.13 233 | 99.58 167 | 95.91 280 | 100.00 1 | 99.36 192 | 98.69 39 | 99.23 186 | 100.00 1 | 91.20 248 | 99.92 140 | 99.34 143 | 97.82 188 | 98.56 222 |
|
COLMAP_ROB | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | 97.10 7 | 98.29 174 | 98.17 174 | 98.65 197 | 99.94 88 | 97.39 247 | 99.30 311 | 99.40 164 | 95.64 226 | 97.75 270 | 100.00 1 | 92.69 223 | 99.95 124 | 98.89 168 | 99.92 104 | 98.62 221 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
ADS-MVSNet2 | | | 98.28 175 | 98.51 160 | 97.62 257 | 99.51 187 | 95.03 289 | 99.24 315 | 99.41 162 | 95.52 233 | 99.96 91 | 99.70 221 | 97.57 137 | 97.94 316 | 97.11 239 | 98.54 138 | 99.88 158 |
|
XVG-OURS-SEG-HR | | | 98.27 176 | 98.31 168 | 98.14 230 | 99.59 162 | 95.92 279 | 100.00 1 | 99.36 192 | 98.48 48 | 99.21 187 | 100.00 1 | 89.27 280 | 99.94 135 | 99.76 100 | 99.17 125 | 98.56 222 |
|
tpm | | | 98.24 177 | 98.22 173 | 98.32 213 | 99.13 216 | 95.79 281 | 99.53 293 | 99.12 283 | 95.20 242 | 99.96 91 | 99.36 261 | 97.58 136 | 99.28 225 | 97.41 233 | 96.67 221 | 99.88 158 |
|
Patchmatch-test1 | | | 98.23 178 | 97.91 183 | 99.17 168 | 99.41 198 | 98.25 203 | 99.99 184 | 99.45 105 | 96.91 172 | 99.76 152 | 99.69 223 | 89.65 275 | 99.37 220 | 97.55 227 | 98.79 134 | 99.89 145 |
|
TR-MVS | | | 98.14 179 | 97.74 187 | 99.33 157 | 99.59 162 | 98.28 197 | 99.27 312 | 99.21 256 | 96.42 201 | 99.15 192 | 99.94 184 | 88.87 286 | 99.79 167 | 98.88 169 | 98.29 161 | 99.93 128 |
|
test0.0.03 1 | | | 98.12 180 | 98.03 179 | 98.39 206 | 99.11 217 | 98.07 219 | 100.00 1 | 99.93 32 | 96.70 181 | 96.91 292 | 99.95 180 | 99.31 58 | 98.19 297 | 91.93 306 | 98.44 145 | 98.91 216 |
|
tpm cat1 | | | 98.05 181 | 97.76 186 | 98.92 184 | 99.50 190 | 97.10 262 | 99.77 257 | 99.30 217 | 90.20 318 | 99.72 155 | 98.71 307 | 97.71 133 | 99.86 147 | 96.75 252 | 98.20 167 | 99.81 177 |
|
PS-MVSNAJss | | | 98.03 182 | 98.06 178 | 97.94 248 | 97.63 308 | 97.33 253 | 99.89 232 | 99.23 247 | 96.27 210 | 98.03 257 | 99.59 245 | 98.75 110 | 98.78 257 | 98.52 190 | 94.61 252 | 97.70 280 |
|
CR-MVSNet | | | 98.02 183 | 97.71 190 | 98.93 182 | 99.31 209 | 98.86 169 | 99.13 334 | 99.00 314 | 96.53 194 | 99.96 91 | 98.98 291 | 96.94 160 | 98.10 307 | 91.18 310 | 98.40 148 | 99.84 168 |
|
EI-MVSNet | | | 97.98 184 | 97.93 182 | 98.16 229 | 99.11 217 | 97.84 235 | 99.74 263 | 99.29 221 | 94.39 260 | 98.65 224 | 100.00 1 | 97.21 142 | 98.88 248 | 97.62 226 | 95.31 232 | 97.75 232 |
|
FIs | | | 97.95 185 | 97.73 189 | 98.62 198 | 98.53 257 | 99.24 145 | 100.00 1 | 99.43 123 | 96.74 177 | 97.87 265 | 99.82 204 | 95.27 193 | 98.89 245 | 98.78 174 | 93.07 263 | 97.74 256 |
|
Anonymous202405211 | | | 97.87 186 | 97.53 192 | 98.90 185 | 99.81 104 | 96.70 271 | 99.35 307 | 99.46 99 | 92.98 297 | 98.83 212 | 99.99 147 | 90.63 259 | 100.00 1 | 99.70 106 | 97.03 216 | 100.00 1 |
|
FC-MVSNet-test | | | 97.84 187 | 97.63 191 | 98.45 203 | 98.30 266 | 99.05 157 | 100.00 1 | 99.43 123 | 96.63 189 | 97.61 275 | 99.82 204 | 95.19 195 | 98.57 282 | 98.64 182 | 93.05 264 | 97.73 266 |
|
Patchmatch-test | | | 97.83 188 | 97.42 194 | 99.06 171 | 99.08 220 | 97.66 240 | 98.66 346 | 99.21 256 | 93.65 281 | 98.25 251 | 99.58 246 | 99.47 39 | 99.57 189 | 90.25 321 | 98.59 137 | 99.95 113 |
|
HQP-MVS | | | 97.73 189 | 97.85 184 | 97.39 266 | 99.07 221 | 94.82 293 | 100.00 1 | 99.40 164 | 99.04 13 | 99.17 188 | 99.97 159 | 88.61 288 | 99.57 189 | 99.79 94 | 95.58 223 | 97.77 226 |
|
GA-MVS | | | 97.72 190 | 97.27 199 | 99.06 171 | 99.24 214 | 97.93 228 | 100.00 1 | 99.24 243 | 95.80 224 | 98.99 201 | 99.64 236 | 89.77 273 | 99.36 221 | 95.12 272 | 97.62 210 | 99.89 145 |
|
HQP_MVS | | | 97.71 191 | 97.82 185 | 97.37 267 | 99.00 233 | 94.80 296 | 100.00 1 | 99.40 164 | 99.00 19 | 99.08 196 | 99.97 159 | 88.58 290 | 99.55 198 | 99.79 94 | 95.57 227 | 97.76 228 |
|
nrg030 | | | 97.64 192 | 97.27 199 | 98.75 194 | 98.34 262 | 99.53 114 | 100.00 1 | 99.22 250 | 96.21 212 | 98.27 249 | 99.95 180 | 94.40 203 | 98.98 237 | 99.23 151 | 89.78 303 | 97.75 232 |
|
TAPA-MVS | | 96.40 10 | 97.64 192 | 97.37 197 | 98.45 203 | 99.94 88 | 95.70 282 | 100.00 1 | 99.40 164 | 97.65 120 | 99.53 171 | 100.00 1 | 99.31 58 | 99.66 183 | 80.48 344 | 100.00 1 | 100.00 1 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
CLD-MVS | | | 97.64 192 | 97.74 187 | 97.36 268 | 99.01 229 | 94.76 301 | 100.00 1 | 99.34 205 | 99.30 4 | 99.00 200 | 99.97 159 | 87.49 297 | 99.57 189 | 99.96 67 | 95.58 223 | 97.75 232 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
IterMVS-LS | | | 97.56 195 | 97.44 193 | 97.92 251 | 99.38 206 | 97.90 229 | 99.89 232 | 99.10 285 | 94.41 259 | 98.32 245 | 99.54 251 | 97.21 142 | 98.11 304 | 97.50 230 | 91.62 278 | 97.75 232 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
test_djsdf | | | 97.55 196 | 97.38 196 | 98.07 237 | 97.50 316 | 97.99 223 | 100.00 1 | 99.13 277 | 95.46 239 | 98.47 239 | 99.85 198 | 92.01 231 | 98.59 279 | 98.63 183 | 95.36 230 | 97.62 303 |
|
IB-MVS | | 96.24 12 | 97.54 197 | 96.95 204 | 99.33 157 | 99.67 143 | 98.10 217 | 100.00 1 | 99.47 84 | 97.42 140 | 99.26 185 | 99.69 223 | 98.83 105 | 99.89 143 | 99.43 133 | 78.77 344 | 100.00 1 |
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 |
LFMVS | | | 97.42 198 | 96.62 216 | 99.81 95 | 99.80 119 | 99.50 115 | 99.16 330 | 99.56 75 | 94.48 258 | 100.00 1 | 100.00 1 | 79.35 342 | 100.00 1 | 99.89 80 | 97.37 212 | 99.94 117 |
|
RPSCF | | | 97.37 199 | 98.24 170 | 94.76 319 | 99.80 119 | 84.57 344 | 99.99 184 | 99.05 308 | 94.95 246 | 99.82 145 | 100.00 1 | 94.03 206 | 100.00 1 | 98.15 205 | 98.38 154 | 99.70 201 |
|
ACMM | | 97.17 6 | 97.37 199 | 97.40 195 | 97.29 270 | 99.01 229 | 94.64 305 | 100.00 1 | 99.25 240 | 98.07 77 | 98.44 240 | 99.98 149 | 87.38 298 | 99.55 198 | 99.25 149 | 95.19 239 | 97.69 285 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
LPG-MVS_test | | | 97.31 201 | 97.32 198 | 97.28 271 | 98.85 248 | 94.60 306 | 100.00 1 | 99.37 186 | 97.35 143 | 98.85 208 | 99.98 149 | 86.66 304 | 99.56 193 | 99.55 123 | 95.26 234 | 97.70 280 |
|
FMVSNet3 | | | 97.30 202 | 96.95 204 | 98.37 208 | 99.65 147 | 99.25 143 | 99.71 271 | 99.28 229 | 94.23 263 | 98.53 234 | 98.91 298 | 93.30 215 | 98.11 304 | 95.31 268 | 93.60 257 | 97.73 266 |
|
UniMVSNet (Re) | | | 97.29 203 | 96.85 208 | 98.59 201 | 98.49 258 | 99.13 152 | 100.00 1 | 99.42 130 | 96.52 195 | 98.24 252 | 98.90 299 | 94.93 198 | 98.89 245 | 97.54 229 | 87.61 322 | 97.75 232 |
|
OPM-MVS | | | 97.21 204 | 97.18 202 | 97.32 269 | 98.08 286 | 94.66 303 | 100.00 1 | 99.28 229 | 98.65 43 | 98.92 203 | 99.98 149 | 86.03 310 | 99.56 193 | 98.28 200 | 95.41 229 | 97.72 272 |
|
ACMP | | 97.00 8 | 97.19 205 | 97.16 203 | 97.27 273 | 98.97 238 | 94.58 308 | 100.00 1 | 99.32 210 | 97.97 86 | 97.45 279 | 99.98 149 | 85.79 312 | 99.56 193 | 99.70 106 | 95.24 237 | 97.67 291 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
pmmvs4 | | | 97.17 206 | 96.80 209 | 98.27 217 | 97.68 305 | 98.64 178 | 100.00 1 | 99.18 262 | 94.22 264 | 98.55 232 | 99.71 218 | 93.67 210 | 98.47 289 | 95.66 262 | 92.57 268 | 97.71 279 |
|
anonymousdsp | | | 97.16 207 | 96.88 206 | 98.00 244 | 97.08 327 | 98.06 220 | 99.81 248 | 99.15 268 | 94.58 254 | 97.84 266 | 99.62 242 | 90.49 262 | 98.60 277 | 97.98 215 | 95.32 231 | 97.33 320 |
|
UniMVSNet_NR-MVSNet | | | 97.16 207 | 96.80 209 | 98.22 224 | 98.38 261 | 98.41 184 | 100.00 1 | 99.45 105 | 96.14 213 | 97.76 267 | 99.64 236 | 95.05 196 | 98.50 286 | 97.98 215 | 86.84 325 | 97.75 232 |
|
XXY-MVS | | | 97.14 209 | 96.63 215 | 98.67 196 | 98.65 251 | 98.92 167 | 99.54 292 | 99.29 221 | 95.57 230 | 97.63 273 | 99.83 201 | 87.79 295 | 99.35 222 | 98.39 194 | 92.95 265 | 97.75 232 |
|
WR-MVS | | | 97.09 210 | 96.64 214 | 98.46 202 | 98.43 259 | 99.09 153 | 99.97 209 | 99.33 207 | 95.62 228 | 97.76 267 | 99.67 229 | 91.17 249 | 98.56 283 | 98.49 191 | 89.28 308 | 97.74 256 |
|
JIA-IIPM | | | 97.09 210 | 96.34 226 | 99.36 154 | 98.88 244 | 98.59 179 | 99.81 248 | 99.43 123 | 84.81 345 | 99.96 91 | 90.34 356 | 98.55 118 | 99.52 206 | 97.00 241 | 98.28 163 | 99.98 92 |
|
jajsoiax | | | 97.07 212 | 96.79 211 | 97.89 252 | 97.28 325 | 97.12 260 | 99.95 218 | 99.19 259 | 96.55 192 | 97.31 282 | 99.69 223 | 87.35 300 | 98.91 242 | 98.70 178 | 95.12 243 | 97.66 293 |
|
MIMVSNet | | | 97.06 213 | 96.73 212 | 98.05 242 | 99.38 206 | 96.64 273 | 98.47 349 | 99.35 200 | 93.41 287 | 99.48 174 | 98.53 314 | 89.66 274 | 97.70 320 | 94.16 287 | 98.11 172 | 99.80 186 |
|
X-MVStestdata | | | 97.04 214 | 96.06 243 | 99.98 16 | 100.00 1 | 99.94 27 | 100.00 1 | 99.75 51 | 98.67 41 | 100.00 1 | 66.97 369 | 99.16 80 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
VPA-MVSNet | | | 97.03 215 | 96.43 223 | 98.82 190 | 98.64 252 | 99.32 135 | 99.38 304 | 99.47 84 | 96.73 179 | 98.91 205 | 98.94 296 | 87.00 302 | 99.40 218 | 99.23 151 | 89.59 304 | 97.76 228 |
|
testpf | | | 97.02 216 | 96.87 207 | 97.44 265 | 99.50 190 | 95.18 286 | 95.70 358 | 99.33 207 | 91.35 310 | 98.00 261 | 99.22 268 | 96.29 176 | 98.49 288 | 94.42 281 | 98.07 174 | 98.67 219 |
|
mvs_tets | | | 97.00 217 | 96.69 213 | 97.94 248 | 97.41 324 | 97.27 255 | 99.60 287 | 99.18 262 | 96.51 196 | 97.35 281 | 99.69 223 | 86.53 306 | 98.91 242 | 98.84 171 | 95.09 244 | 97.65 297 |
|
gg-mvs-nofinetune | | | 96.95 218 | 96.10 241 | 99.50 143 | 99.41 198 | 99.36 133 | 99.07 340 | 99.52 77 | 83.69 348 | 99.96 91 | 83.60 364 | 100.00 1 | 99.20 226 | 99.68 109 | 99.99 87 | 99.96 108 |
|
Anonymous20240529 | | | 96.93 219 | 96.22 233 | 99.05 173 | 99.79 122 | 97.30 254 | 99.16 330 | 99.47 84 | 88.51 334 | 98.69 221 | 100.00 1 | 83.50 324 | 100.00 1 | 99.83 88 | 97.02 217 | 99.83 171 |
|
DU-MVS | | | 96.93 219 | 96.49 220 | 98.22 224 | 98.31 264 | 98.41 184 | 100.00 1 | 99.37 186 | 96.41 202 | 97.76 267 | 99.65 232 | 92.14 227 | 98.50 286 | 97.98 215 | 86.84 325 | 97.75 232 |
|
Patchmtry | | | 96.81 221 | 96.37 224 | 98.14 230 | 99.31 209 | 98.55 181 | 98.91 343 | 99.00 314 | 90.45 315 | 97.92 263 | 98.98 291 | 96.94 160 | 98.12 302 | 94.27 284 | 91.53 279 | 97.75 232 |
|
v1neww | | | 96.77 222 | 96.27 229 | 98.26 219 | 98.16 276 | 98.23 204 | 100.00 1 | 99.09 288 | 93.94 270 | 98.73 218 | 99.05 277 | 91.65 234 | 98.82 253 | 95.75 258 | 90.04 294 | 97.74 256 |
|
v7new | | | 96.77 222 | 96.27 229 | 98.26 219 | 98.16 276 | 98.23 204 | 100.00 1 | 99.09 288 | 93.94 270 | 98.73 218 | 99.05 277 | 91.65 234 | 98.82 253 | 95.75 258 | 90.04 294 | 97.74 256 |
|
v6 | | | 96.77 222 | 96.26 231 | 98.29 215 | 98.10 282 | 98.27 199 | 100.00 1 | 99.09 288 | 93.95 269 | 98.73 218 | 99.06 274 | 91.51 241 | 98.86 250 | 95.83 256 | 90.04 294 | 97.74 256 |
|
ACMH | | 96.25 11 | 96.77 222 | 96.62 216 | 97.21 274 | 98.96 239 | 94.43 310 | 99.64 284 | 99.33 207 | 97.43 139 | 96.55 300 | 99.97 159 | 83.52 323 | 99.54 201 | 99.07 160 | 95.13 242 | 97.66 293 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
IterMVS | | | 96.76 226 | 96.46 222 | 97.63 255 | 99.41 198 | 96.89 266 | 99.99 184 | 99.13 277 | 94.74 250 | 97.59 276 | 99.66 231 | 89.63 277 | 98.28 296 | 95.71 260 | 92.31 271 | 97.72 272 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
CP-MVSNet | | | 96.73 227 | 96.25 232 | 98.18 227 | 98.21 271 | 98.67 177 | 99.77 257 | 99.32 210 | 95.06 244 | 97.20 286 | 99.65 232 | 90.10 267 | 98.19 297 | 98.06 214 | 88.90 312 | 97.66 293 |
|
WR-MVS_H | | | 96.73 227 | 96.32 228 | 97.95 247 | 98.26 268 | 97.88 231 | 99.72 269 | 99.43 123 | 95.06 244 | 96.99 289 | 98.68 308 | 93.02 219 | 98.53 284 | 97.43 232 | 88.33 318 | 97.43 314 |
|
v2v482 | | | 96.70 229 | 96.18 234 | 98.27 217 | 98.04 291 | 98.39 186 | 100.00 1 | 99.13 277 | 94.19 266 | 98.58 231 | 99.08 273 | 90.48 263 | 98.67 272 | 95.69 261 | 90.44 292 | 97.75 232 |
|
divwei89l23v2f112 | | | 96.68 230 | 96.15 237 | 98.25 223 | 98.03 292 | 98.27 199 | 100.00 1 | 99.09 288 | 93.79 273 | 98.59 229 | 99.04 280 | 91.54 240 | 98.73 264 | 95.29 271 | 89.99 298 | 97.75 232 |
|
v1141 | | | 96.66 231 | 96.12 239 | 98.26 219 | 98.05 289 | 98.28 197 | 100.00 1 | 99.09 288 | 93.71 274 | 98.59 229 | 99.04 280 | 91.57 238 | 98.73 264 | 95.05 273 | 90.00 297 | 97.75 232 |
|
v1 | | | 96.66 231 | 96.12 239 | 98.30 214 | 98.09 283 | 98.33 192 | 100.00 1 | 99.09 288 | 93.69 279 | 98.68 222 | 99.04 280 | 91.42 245 | 98.83 252 | 95.05 273 | 89.99 298 | 97.75 232 |
|
V42 | | | 96.65 233 | 96.16 236 | 98.11 236 | 98.17 275 | 98.23 204 | 99.99 184 | 99.09 288 | 93.97 267 | 98.74 217 | 99.05 277 | 91.09 254 | 98.82 253 | 95.46 266 | 89.90 301 | 97.27 321 |
|
v7 | | | 96.64 234 | 96.14 238 | 98.13 233 | 98.18 273 | 97.97 225 | 99.99 184 | 99.09 288 | 93.62 283 | 98.76 215 | 99.30 264 | 91.13 251 | 98.70 269 | 94.37 282 | 90.80 287 | 97.74 256 |
|
EU-MVSNet | | | 96.63 235 | 96.53 218 | 96.94 284 | 97.59 312 | 96.87 267 | 99.76 260 | 99.47 84 | 96.35 205 | 96.85 294 | 99.78 212 | 92.57 224 | 96.27 338 | 95.33 267 | 91.08 284 | 97.68 287 |
|
NR-MVSNet | | | 96.63 235 | 96.04 244 | 98.38 207 | 98.31 264 | 98.98 164 | 99.22 323 | 99.35 200 | 95.87 218 | 94.43 316 | 99.65 232 | 92.73 222 | 98.40 292 | 96.78 250 | 88.05 319 | 97.75 232 |
|
XVG-ACMP-BASELINE | | | 96.60 237 | 96.52 219 | 96.84 295 | 98.41 260 | 93.29 320 | 99.99 184 | 99.32 210 | 97.76 105 | 98.51 237 | 99.29 265 | 81.95 330 | 99.54 201 | 98.40 193 | 95.03 245 | 97.68 287 |
|
VDD-MVS | | | 96.58 238 | 95.99 246 | 98.34 211 | 99.52 184 | 95.33 283 | 99.18 324 | 99.38 183 | 96.64 187 | 99.77 150 | 100.00 1 | 72.51 353 | 100.00 1 | 100.00 1 | 96.94 219 | 99.70 201 |
|
LCM-MVSNet-Re | | | 96.52 239 | 97.21 201 | 94.44 320 | 99.27 212 | 85.80 342 | 99.85 239 | 96.61 360 | 95.98 216 | 92.75 324 | 98.48 315 | 93.97 208 | 97.55 321 | 99.58 121 | 98.43 146 | 99.98 92 |
|
our_test_3 | | | 96.51 240 | 96.35 225 | 96.98 282 | 97.61 310 | 95.05 288 | 99.98 202 | 99.01 313 | 94.68 251 | 96.77 297 | 99.06 274 | 95.87 182 | 98.14 300 | 91.81 307 | 92.37 270 | 97.75 232 |
|
MVP-Stereo | | | 96.51 240 | 96.48 221 | 96.60 303 | 95.65 337 | 94.25 311 | 98.84 345 | 98.16 337 | 95.85 222 | 95.23 310 | 99.04 280 | 92.54 225 | 99.13 228 | 92.98 299 | 99.98 95 | 96.43 330 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
v1144 | | | 96.51 240 | 95.97 248 | 98.13 233 | 97.98 296 | 98.04 222 | 99.99 184 | 99.08 296 | 93.51 286 | 98.62 227 | 98.98 291 | 90.98 257 | 98.62 274 | 93.79 292 | 90.79 288 | 97.74 256 |
|
ACMH+ | | 96.20 13 | 96.49 243 | 96.33 227 | 97.00 280 | 99.06 225 | 93.80 315 | 99.81 248 | 99.31 215 | 97.32 146 | 95.89 307 | 99.97 159 | 82.62 328 | 99.54 201 | 98.34 197 | 94.63 251 | 97.65 297 |
|
TranMVSNet+NR-MVSNet | | | 96.45 244 | 96.01 245 | 97.79 254 | 98.00 295 | 97.62 241 | 100.00 1 | 99.35 200 | 95.98 216 | 97.31 282 | 99.64 236 | 90.09 268 | 98.00 315 | 96.89 245 | 86.80 328 | 97.75 232 |
|
VPNet | | | 96.41 245 | 95.76 257 | 98.33 212 | 98.61 253 | 98.30 196 | 99.48 297 | 99.45 105 | 96.98 165 | 98.87 207 | 99.88 193 | 81.57 332 | 98.93 240 | 99.22 153 | 87.82 321 | 97.76 228 |
|
PVSNet_0 | | 93.57 19 | 96.41 245 | 95.74 258 | 98.41 205 | 99.84 100 | 95.22 285 | 100.00 1 | 100.00 1 | 98.08 76 | 97.55 277 | 99.78 212 | 84.40 317 | 100.00 1 | 100.00 1 | 81.99 336 | 100.00 1 |
|
v144192 | | | 96.40 247 | 95.81 253 | 98.17 228 | 97.89 300 | 98.11 216 | 99.99 184 | 99.06 306 | 93.39 288 | 98.75 216 | 99.09 272 | 90.43 264 | 98.66 273 | 93.10 298 | 90.55 291 | 97.75 232 |
|
VDDNet | | | 96.39 248 | 95.55 266 | 98.90 185 | 99.27 212 | 97.45 244 | 99.15 332 | 99.92 36 | 91.28 311 | 99.98 84 | 100.00 1 | 73.55 351 | 100.00 1 | 99.85 85 | 96.98 218 | 99.24 215 |
|
tfpnnormal | | | 96.36 249 | 95.69 263 | 98.37 208 | 98.55 255 | 98.71 174 | 99.69 277 | 99.45 105 | 93.16 295 | 96.69 299 | 99.71 218 | 88.44 292 | 98.99 236 | 94.17 285 | 91.38 281 | 97.41 315 |
|
v8 | | | 96.35 250 | 95.73 259 | 98.21 226 | 98.11 281 | 98.23 204 | 99.94 222 | 99.07 298 | 92.66 300 | 98.29 247 | 99.00 290 | 91.46 243 | 98.77 260 | 94.17 285 | 88.83 314 | 97.62 303 |
|
PS-CasMVS | | | 96.34 251 | 95.78 256 | 98.03 243 | 98.18 273 | 98.27 199 | 99.71 271 | 99.32 210 | 94.75 248 | 96.82 295 | 99.65 232 | 86.98 303 | 98.15 299 | 97.74 222 | 88.85 313 | 97.66 293 |
|
LTVRE_ROB | | 95.29 16 | 96.32 252 | 96.10 241 | 96.99 281 | 98.55 255 | 93.88 314 | 99.45 298 | 99.28 229 | 94.50 257 | 96.46 301 | 99.52 252 | 84.86 315 | 99.48 211 | 97.26 236 | 95.03 245 | 97.59 307 |
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 |
Anonymous20231211 | | | 96.29 253 | 95.70 260 | 98.07 237 | 99.80 119 | 97.49 243 | 99.15 332 | 99.40 164 | 89.11 331 | 97.75 270 | 99.45 258 | 88.93 285 | 98.98 237 | 98.26 201 | 89.47 306 | 97.73 266 |
|
v148 | | | 96.29 253 | 95.84 252 | 97.63 255 | 97.74 303 | 96.53 274 | 100.00 1 | 99.07 298 | 93.52 285 | 98.01 260 | 99.42 260 | 91.22 247 | 98.60 277 | 96.37 254 | 87.22 324 | 97.75 232 |
|
DI_MVS_plusplus_test | | | 96.28 255 | 95.16 279 | 99.61 126 | 96.01 334 | 99.18 150 | 100.00 1 | 99.29 221 | 96.49 197 | 89.08 331 | 98.42 319 | 80.06 337 | 99.90 141 | 98.74 177 | 98.39 150 | 99.75 192 |
|
test_normal | | | 96.24 256 | 95.12 281 | 99.60 130 | 96.00 335 | 99.16 151 | 100.00 1 | 99.29 221 | 96.43 199 | 88.96 334 | 98.40 320 | 80.06 337 | 99.90 141 | 98.53 189 | 98.39 150 | 99.75 192 |
|
FMVSNet2 | | | 96.22 257 | 95.60 265 | 98.06 241 | 99.53 178 | 98.33 192 | 99.45 298 | 99.27 236 | 93.71 274 | 98.03 257 | 98.84 301 | 84.23 319 | 98.10 307 | 93.97 290 | 93.40 260 | 97.73 266 |
|
LF4IMVS | | | 96.19 258 | 96.18 234 | 96.23 309 | 98.26 268 | 92.09 329 | 100.00 1 | 97.89 347 | 97.82 100 | 97.94 262 | 99.87 194 | 82.71 327 | 99.38 219 | 97.41 233 | 93.71 256 | 97.20 322 |
|
v1192 | | | 96.18 259 | 95.49 269 | 98.26 219 | 98.01 293 | 98.15 214 | 99.99 184 | 99.08 296 | 93.36 289 | 98.54 233 | 98.97 294 | 89.47 278 | 98.89 245 | 91.15 311 | 90.82 286 | 97.75 232 |
|
testgi | | | 96.18 259 | 95.93 249 | 96.93 285 | 98.98 237 | 94.20 313 | 100.00 1 | 99.07 298 | 97.16 154 | 96.06 304 | 99.86 196 | 84.08 322 | 97.79 318 | 90.38 318 | 97.80 190 | 98.81 217 |
|
ppachtmachnet_test | | | 96.17 261 | 95.89 250 | 97.02 279 | 97.61 310 | 95.24 284 | 99.99 184 | 99.24 243 | 93.31 291 | 96.71 298 | 99.62 242 | 94.34 205 | 98.07 310 | 89.87 323 | 92.30 272 | 97.75 232 |
|
v1921920 | | | 96.16 262 | 95.50 267 | 98.14 230 | 97.88 301 | 97.96 226 | 99.99 184 | 99.07 298 | 93.33 290 | 98.60 228 | 99.24 267 | 89.37 279 | 98.71 268 | 91.28 309 | 90.74 289 | 97.75 232 |
|
Baseline_NR-MVSNet | | | 96.16 262 | 95.70 260 | 97.56 260 | 98.28 267 | 96.79 269 | 100.00 1 | 97.86 348 | 91.93 306 | 97.63 273 | 99.47 257 | 92.14 227 | 98.35 294 | 97.13 238 | 86.83 327 | 97.54 310 |
|
v10 | | | 96.14 264 | 95.50 267 | 98.07 237 | 98.19 272 | 97.96 226 | 99.83 241 | 99.07 298 | 92.10 304 | 98.07 256 | 98.94 296 | 91.07 255 | 98.61 275 | 92.41 305 | 89.82 302 | 97.63 301 |
|
OurMVSNet-221017-0 | | | 96.14 264 | 95.98 247 | 96.62 302 | 97.49 318 | 93.44 318 | 99.92 226 | 98.16 337 | 95.86 220 | 97.65 272 | 99.95 180 | 85.71 313 | 98.78 257 | 94.93 276 | 94.18 255 | 97.64 300 |
|
GBi-Net | | | 96.07 266 | 95.80 254 | 96.89 287 | 99.53 178 | 94.87 290 | 99.18 324 | 99.27 236 | 93.71 274 | 98.53 234 | 98.81 302 | 84.23 319 | 98.07 310 | 95.31 268 | 93.60 257 | 97.72 272 |
|
test1 | | | 96.07 266 | 95.80 254 | 96.89 287 | 99.53 178 | 94.87 290 | 99.18 324 | 99.27 236 | 93.71 274 | 98.53 234 | 98.81 302 | 84.23 319 | 98.07 310 | 95.31 268 | 93.60 257 | 97.72 272 |
|
v7n | | | 96.06 268 | 95.42 273 | 97.99 246 | 97.58 313 | 97.35 250 | 99.86 238 | 99.11 284 | 92.81 299 | 97.91 264 | 99.49 255 | 90.99 256 | 98.92 241 | 92.51 302 | 88.49 317 | 97.70 280 |
|
PEN-MVS | | | 96.01 269 | 95.48 271 | 97.58 259 | 97.74 303 | 97.26 256 | 99.90 229 | 99.29 221 | 94.55 255 | 96.79 296 | 99.55 249 | 87.38 298 | 97.84 317 | 96.92 244 | 87.24 323 | 97.65 297 |
|
v1240 | | | 95.96 270 | 95.25 277 | 98.07 237 | 97.91 299 | 97.87 233 | 99.96 212 | 99.07 298 | 93.24 293 | 98.64 226 | 98.96 295 | 88.98 284 | 98.61 275 | 89.58 325 | 90.92 285 | 97.75 232 |
|
pmmvs5 | | | 95.94 271 | 95.61 264 | 96.95 283 | 97.42 322 | 94.66 303 | 100.00 1 | 98.08 341 | 93.60 284 | 97.05 288 | 99.43 259 | 87.02 301 | 98.46 290 | 95.76 257 | 92.12 273 | 97.72 272 |
|
PatchT | | | 95.90 272 | 94.95 285 | 98.75 194 | 99.03 227 | 98.39 186 | 99.08 338 | 99.32 210 | 85.52 341 | 99.96 91 | 94.99 349 | 97.94 129 | 98.05 314 | 80.20 345 | 98.47 144 | 99.81 177 |
|
USDC | | | 95.90 272 | 95.70 260 | 96.50 304 | 98.60 254 | 92.56 327 | 100.00 1 | 98.30 334 | 97.77 103 | 96.92 290 | 99.94 184 | 81.25 336 | 99.45 214 | 93.54 296 | 94.96 247 | 97.49 311 |
|
V4 | | | 95.89 274 | 95.36 274 | 97.49 262 | 97.65 307 | 97.40 246 | 99.88 235 | 99.07 298 | 92.19 302 | 98.08 254 | 99.01 288 | 90.20 266 | 98.72 266 | 93.57 295 | 88.63 315 | 96.34 331 |
|
LP | | | 95.89 274 | 95.35 275 | 97.51 261 | 98.92 241 | 95.15 287 | 98.66 346 | 99.39 179 | 89.43 329 | 97.22 285 | 99.03 285 | 94.37 204 | 97.74 319 | 83.71 340 | 97.44 211 | 99.63 208 |
|
v52 | | | 95.88 276 | 95.35 275 | 97.48 263 | 97.66 306 | 97.38 249 | 99.88 235 | 99.07 298 | 92.19 302 | 98.09 253 | 99.02 287 | 90.06 269 | 98.72 266 | 93.58 294 | 88.61 316 | 96.34 331 |
|
pm-mvs1 | | | 95.76 277 | 95.01 283 | 98.00 244 | 98.23 270 | 97.45 244 | 99.24 315 | 99.04 311 | 93.13 296 | 95.93 306 | 99.72 216 | 86.28 307 | 98.84 251 | 95.62 264 | 87.92 320 | 97.72 272 |
|
SixPastTwentyTwo | | | 95.71 278 | 95.49 269 | 96.38 306 | 97.42 322 | 93.01 321 | 99.84 240 | 98.23 335 | 94.75 248 | 95.98 305 | 99.97 159 | 85.35 314 | 98.43 291 | 94.71 277 | 93.17 262 | 97.69 285 |
|
MS-PatchMatch | | | 95.66 279 | 95.87 251 | 95.05 315 | 97.80 302 | 89.25 337 | 98.88 344 | 99.30 217 | 96.35 205 | 96.86 293 | 99.01 288 | 81.35 335 | 99.43 215 | 93.30 297 | 99.98 95 | 96.46 329 |
|
DTE-MVSNet | | | 95.52 280 | 94.99 284 | 97.08 276 | 97.49 318 | 96.45 275 | 100.00 1 | 99.25 240 | 93.82 272 | 96.17 302 | 99.57 248 | 87.81 294 | 97.18 322 | 94.57 278 | 86.26 330 | 97.62 303 |
|
TinyColmap | | | 95.50 281 | 95.12 281 | 96.64 301 | 98.69 250 | 93.00 322 | 99.40 302 | 97.75 349 | 96.40 203 | 96.14 303 | 99.87 194 | 79.47 341 | 99.50 209 | 93.62 293 | 94.72 250 | 97.40 316 |
|
v748 | | | 95.47 282 | 94.95 285 | 97.04 277 | 97.46 321 | 94.76 301 | 99.93 224 | 99.10 285 | 91.95 305 | 97.11 287 | 99.18 269 | 89.94 272 | 98.68 270 | 94.01 289 | 85.88 331 | 97.67 291 |
|
K. test v3 | | | 95.46 283 | 95.14 280 | 96.40 305 | 97.53 315 | 93.40 319 | 99.99 184 | 99.23 247 | 95.49 236 | 92.70 325 | 99.73 215 | 84.26 318 | 98.12 302 | 93.94 291 | 93.38 261 | 97.68 287 |
|
FMVSNet5 | | | 95.32 284 | 95.43 272 | 94.99 316 | 99.39 205 | 92.99 323 | 99.25 314 | 99.24 243 | 90.45 315 | 97.44 280 | 98.45 316 | 95.78 184 | 94.39 346 | 87.02 334 | 91.88 276 | 97.59 307 |
|
DSMNet-mixed | | | 95.18 285 | 95.21 278 | 95.08 314 | 96.03 333 | 90.21 335 | 99.65 283 | 93.64 365 | 92.91 298 | 98.34 244 | 97.40 327 | 90.05 270 | 95.51 344 | 91.02 312 | 97.86 183 | 99.51 212 |
|
RPMNet | | | 95.10 286 | 93.82 289 | 98.93 182 | 99.31 209 | 98.86 169 | 99.13 334 | 99.38 183 | 79.82 353 | 99.96 91 | 95.13 347 | 95.69 188 | 98.10 307 | 77.54 351 | 98.40 148 | 99.84 168 |
|
TransMVSNet (Re) | | | 94.78 287 | 93.72 290 | 97.93 250 | 98.34 262 | 97.88 231 | 99.23 321 | 97.98 345 | 91.60 308 | 94.55 314 | 99.71 218 | 87.89 293 | 98.36 293 | 89.30 330 | 84.92 332 | 97.56 309 |
|
FMVSNet1 | | | 94.45 288 | 93.63 292 | 96.89 287 | 98.87 246 | 94.87 290 | 99.18 324 | 99.27 236 | 90.95 314 | 97.31 282 | 98.81 302 | 72.89 352 | 98.07 310 | 92.61 300 | 92.81 266 | 97.72 272 |
|
test_0402 | | | 94.35 289 | 93.70 291 | 96.32 307 | 97.92 298 | 93.60 316 | 99.61 286 | 98.85 321 | 88.19 337 | 94.68 313 | 99.48 256 | 80.01 340 | 98.58 281 | 89.39 328 | 95.15 241 | 96.77 326 |
|
UnsupCasMVSNet_eth | | | 94.25 290 | 93.89 288 | 95.34 313 | 97.63 308 | 92.13 328 | 99.73 267 | 99.36 192 | 94.88 247 | 92.78 322 | 98.63 311 | 82.72 326 | 96.53 328 | 94.57 278 | 84.73 333 | 97.36 317 |
|
MVS-HIRNet | | | 94.12 291 | 92.73 300 | 98.29 215 | 99.33 208 | 95.95 278 | 99.38 304 | 99.19 259 | 74.54 355 | 98.26 250 | 86.34 360 | 86.07 308 | 99.06 231 | 91.60 308 | 99.87 110 | 99.85 167 |
|
new_pmnet | | | 94.11 292 | 93.47 294 | 96.04 311 | 96.60 330 | 92.82 324 | 99.97 209 | 98.91 319 | 90.21 317 | 95.26 309 | 98.05 324 | 85.89 311 | 98.14 300 | 84.28 339 | 92.01 275 | 97.16 323 |
|
pmmvs6 | | | 93.64 293 | 92.87 298 | 95.94 312 | 97.47 320 | 91.41 334 | 98.92 342 | 99.02 312 | 87.84 338 | 95.01 311 | 99.61 244 | 77.24 347 | 98.77 260 | 94.33 283 | 86.41 329 | 97.63 301 |
|
v18 | | | 93.55 294 | 92.42 302 | 96.91 286 | 98.12 279 | 98.26 202 | 99.83 241 | 98.74 323 | 89.99 320 | 88.94 335 | 95.64 337 | 92.02 230 | 96.54 325 | 90.27 320 | 78.26 345 | 95.94 339 |
|
v17 | | | 93.53 295 | 92.42 302 | 96.88 291 | 98.09 283 | 98.16 212 | 99.83 241 | 98.74 323 | 89.95 321 | 89.05 332 | 95.65 336 | 91.99 232 | 96.54 325 | 90.31 319 | 78.15 347 | 95.95 337 |
|
Patchmatch-RL test | | | 93.49 296 | 93.63 292 | 93.05 328 | 91.78 346 | 83.41 345 | 98.21 351 | 96.95 356 | 91.58 309 | 91.05 327 | 97.64 326 | 99.40 51 | 95.83 342 | 94.11 288 | 81.95 337 | 99.91 132 |
|
v16 | | | 93.48 297 | 92.34 304 | 96.89 287 | 98.13 278 | 98.19 210 | 99.82 246 | 98.74 323 | 89.94 322 | 88.90 336 | 95.62 338 | 91.65 234 | 96.54 325 | 90.03 322 | 78.22 346 | 95.95 337 |
|
Anonymous20231206 | | | 93.45 298 | 93.17 296 | 94.30 322 | 95.00 341 | 89.69 336 | 99.98 202 | 98.43 333 | 93.30 292 | 94.50 315 | 98.59 312 | 90.52 261 | 95.73 343 | 77.46 352 | 90.73 290 | 97.48 313 |
|
v15 | | | 93.28 299 | 92.08 305 | 96.87 292 | 98.07 287 | 98.22 208 | 99.82 246 | 98.74 323 | 89.83 323 | 88.74 338 | 95.44 342 | 91.55 239 | 96.47 329 | 89.70 324 | 76.87 349 | 95.93 340 |
|
V14 | | | 93.24 300 | 92.04 306 | 96.87 292 | 98.07 287 | 98.20 209 | 99.80 251 | 98.74 323 | 89.76 325 | 88.64 339 | 95.53 339 | 91.47 242 | 96.47 329 | 89.49 326 | 76.84 350 | 95.92 341 |
|
V9 | | | 93.20 301 | 91.99 308 | 96.85 294 | 98.05 289 | 98.16 212 | 99.77 257 | 98.73 329 | 89.67 326 | 88.64 339 | 95.44 342 | 91.34 246 | 96.47 329 | 89.46 327 | 76.79 351 | 95.92 341 |
|
v13 | | | 93.18 302 | 91.97 309 | 96.81 297 | 98.12 279 | 98.12 215 | 99.74 263 | 98.73 329 | 89.47 328 | 88.52 341 | 95.40 345 | 91.72 233 | 96.41 332 | 89.23 332 | 76.77 352 | 95.92 341 |
|
v12 | | | 93.18 302 | 91.97 309 | 96.80 298 | 98.09 283 | 98.10 217 | 99.76 260 | 98.73 329 | 89.61 327 | 88.45 342 | 95.41 344 | 91.63 237 | 96.39 334 | 89.32 329 | 76.76 353 | 95.91 344 |
|
v11 | | | 93.14 304 | 91.93 311 | 96.77 300 | 98.01 293 | 98.17 211 | 99.72 269 | 98.74 323 | 89.39 330 | 88.81 337 | 95.49 341 | 91.15 250 | 96.29 336 | 86.78 335 | 79.25 342 | 95.86 346 |
|
test20.03 | | | 93.11 305 | 92.85 299 | 93.88 327 | 95.19 340 | 91.83 330 | 100.00 1 | 98.87 320 | 93.68 280 | 92.76 323 | 98.88 300 | 89.20 281 | 92.71 351 | 77.88 350 | 89.19 309 | 97.09 324 |
|
EG-PatchMatch MVS | | | 92.94 306 | 92.49 301 | 94.29 323 | 95.87 336 | 87.07 341 | 99.07 340 | 98.11 340 | 93.19 294 | 88.98 333 | 98.66 310 | 70.89 354 | 99.08 230 | 92.43 304 | 95.21 238 | 96.72 327 |
|
Test4 | | | 92.63 307 | 90.45 318 | 99.17 168 | 92.81 345 | 99.02 159 | 99.98 202 | 99.13 277 | 96.60 190 | 82.04 353 | 96.27 332 | 51.35 361 | 98.75 263 | 97.55 227 | 98.36 156 | 99.75 192 |
|
MDA-MVSNet_test_wron | | | 92.61 308 | 91.09 314 | 97.19 275 | 96.71 329 | 97.26 256 | 100.00 1 | 99.14 272 | 88.61 333 | 67.90 361 | 98.32 323 | 89.03 282 | 96.57 324 | 90.47 317 | 89.59 304 | 97.74 256 |
|
test2356 | | | 92.55 309 | 93.94 287 | 88.39 334 | 93.49 344 | 78.42 348 | 100.00 1 | 99.40 164 | 91.64 307 | 93.93 318 | 98.74 306 | 91.11 252 | 88.67 356 | 79.37 347 | 97.79 191 | 98.08 224 |
|
YYNet1 | | | 92.44 310 | 90.92 315 | 97.03 278 | 96.20 331 | 97.06 263 | 99.99 184 | 99.14 272 | 88.21 336 | 67.93 360 | 98.43 318 | 88.63 287 | 96.28 337 | 90.64 313 | 89.08 311 | 97.74 256 |
|
MIMVSNet1 | | | 91.96 311 | 91.20 312 | 94.23 324 | 94.94 342 | 91.69 332 | 99.34 308 | 99.22 250 | 88.23 335 | 94.18 317 | 98.45 316 | 75.52 350 | 93.41 350 | 79.37 347 | 91.49 280 | 97.60 306 |
|
TDRefinement | | | 91.93 312 | 90.48 317 | 96.27 308 | 81.60 360 | 92.65 326 | 99.10 336 | 97.61 352 | 93.96 268 | 93.77 320 | 99.85 198 | 80.03 339 | 99.53 205 | 97.82 221 | 70.59 355 | 96.63 328 |
|
OpenMVS_ROB | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | 88.34 20 | 91.89 313 | 91.12 313 | 94.19 325 | 95.55 338 | 87.63 340 | 99.26 313 | 98.03 342 | 86.61 340 | 90.65 330 | 96.82 328 | 70.14 355 | 98.78 257 | 86.54 336 | 96.50 222 | 96.15 333 |
|
N_pmnet | | | 91.88 314 | 93.37 295 | 87.40 336 | 97.24 326 | 66.33 361 | 99.90 229 | 91.05 367 | 89.77 324 | 95.65 308 | 98.58 313 | 90.05 270 | 98.11 304 | 85.39 337 | 92.72 267 | 97.75 232 |
|
pmmvs-eth3d | | | 91.73 315 | 90.67 316 | 94.92 318 | 91.63 348 | 92.71 325 | 99.90 229 | 98.54 332 | 91.19 312 | 88.08 343 | 95.50 340 | 79.31 343 | 96.13 339 | 90.55 316 | 81.32 339 | 95.91 344 |
|
MDA-MVSNet-bldmvs | | | 91.65 316 | 89.94 319 | 96.79 299 | 96.72 328 | 96.70 271 | 99.42 301 | 98.94 316 | 88.89 332 | 66.97 363 | 98.37 321 | 81.43 333 | 95.91 341 | 89.24 331 | 89.46 307 | 97.75 232 |
|
testus | | | 91.61 317 | 92.92 297 | 87.70 335 | 93.91 343 | 74.98 352 | 100.00 1 | 98.19 336 | 92.59 301 | 93.90 319 | 98.68 308 | 81.43 333 | 90.77 354 | 79.82 346 | 97.71 202 | 97.34 319 |
|
testing_2 | | | 90.79 318 | 88.26 324 | 98.35 210 | 89.11 351 | 98.56 180 | 99.70 273 | 99.14 272 | 93.70 278 | 73.80 356 | 94.06 351 | 55.19 358 | 98.76 262 | 97.17 237 | 92.50 269 | 97.74 256 |
|
CMPMVS | ![Method available as binary. binary](img/icon_binary.png) | 66.12 22 | 90.65 319 | 92.04 306 | 86.46 338 | 96.18 332 | 66.87 360 | 98.03 352 | 99.38 183 | 83.38 349 | 85.49 348 | 99.55 249 | 77.59 346 | 98.80 256 | 94.44 280 | 94.31 254 | 93.72 350 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
pmmvs3 | | | 90.62 320 | 89.36 321 | 94.40 321 | 90.53 350 | 91.49 333 | 100.00 1 | 96.73 358 | 84.21 347 | 93.65 321 | 96.65 329 | 82.56 329 | 94.83 345 | 82.28 342 | 77.62 348 | 96.89 325 |
|
new-patchmatchnet | | | 90.30 321 | 89.46 320 | 92.84 329 | 90.77 349 | 88.55 339 | 99.83 241 | 98.80 322 | 90.07 319 | 87.86 344 | 95.00 348 | 78.77 344 | 94.30 347 | 84.86 338 | 79.15 343 | 95.68 347 |
|
UnsupCasMVSNet_bld | | | 89.50 322 | 88.00 325 | 93.99 326 | 95.30 339 | 88.86 338 | 98.52 348 | 99.28 229 | 85.50 344 | 87.80 345 | 94.11 350 | 61.63 357 | 96.96 323 | 90.63 314 | 79.26 341 | 96.15 333 |
|
1111 | | | 88.62 323 | 89.13 322 | 87.08 337 | 87.71 352 | 77.22 349 | 99.96 212 | 97.71 350 | 85.51 342 | 83.47 351 | 96.26 333 | 95.76 185 | 90.96 352 | 66.63 358 | 89.17 310 | 93.07 351 |
|
PM-MVS | | | 88.39 324 | 87.41 326 | 91.31 330 | 91.73 347 | 82.02 347 | 99.79 252 | 96.62 359 | 91.06 313 | 90.71 329 | 95.73 335 | 48.60 363 | 95.96 340 | 90.56 315 | 81.91 338 | 95.97 336 |
|
test1235678 | | | 88.02 325 | 88.73 323 | 85.90 340 | 87.57 354 | 71.70 356 | 100.00 1 | 97.42 353 | 87.52 339 | 86.19 346 | 96.39 331 | 81.60 331 | 87.93 357 | 70.72 355 | 91.18 283 | 98.08 224 |
|
test12356 | | | 86.30 326 | 87.15 327 | 83.77 344 | 84.24 357 | 72.00 354 | 99.94 222 | 96.80 357 | 84.63 346 | 85.16 349 | 96.51 330 | 77.02 348 | 86.31 360 | 70.06 356 | 89.93 300 | 93.00 352 |
|
.test1245 | | | 85.18 327 | 84.81 328 | 86.28 339 | 87.71 352 | 77.22 349 | 99.96 212 | 97.71 350 | 85.51 342 | 83.47 351 | 96.26 333 | 95.76 185 | 90.96 352 | 66.63 358 | 50.30 359 | 90.64 355 |
|
Gipuma | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | 84.73 328 | 83.50 329 | 88.40 333 | 97.50 316 | 82.21 346 | 88.87 361 | 99.05 308 | 65.81 357 | 85.71 347 | 90.49 355 | 53.70 359 | 96.31 335 | 78.64 349 | 91.74 277 | 86.67 359 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
testmvs | | | 80.17 329 | 81.95 330 | 74.80 350 | 58.54 371 | 59.58 368 | 100.00 1 | 87.14 371 | 76.09 354 | 99.61 166 | 100.00 1 | 67.06 356 | 74.19 368 | 98.84 171 | 50.30 359 | 90.64 355 |
|
testmv | | | 79.83 330 | 79.77 331 | 79.99 347 | 78.22 364 | 63.55 364 | 99.67 280 | 95.51 363 | 80.89 351 | 76.24 355 | 92.90 353 | 52.16 360 | 86.10 361 | 62.45 361 | 79.90 340 | 90.33 357 |
|
test123 | | | 79.44 331 | 79.23 333 | 80.05 346 | 80.03 362 | 71.72 355 | 100.00 1 | 77.93 374 | 62.52 358 | 94.81 312 | 99.69 223 | 78.21 345 | 74.53 367 | 92.57 301 | 27.33 367 | 93.90 348 |
|
PMMVS2 | | | 79.15 332 | 77.28 334 | 84.76 343 | 82.34 359 | 72.66 353 | 99.70 273 | 95.11 364 | 71.68 356 | 84.78 350 | 90.87 354 | 32.05 367 | 89.99 355 | 75.53 353 | 63.45 356 | 91.64 353 |
|
LCM-MVSNet | | | 79.01 333 | 76.93 335 | 85.27 342 | 78.28 363 | 68.01 359 | 96.57 356 | 98.03 342 | 55.10 362 | 82.03 354 | 93.27 352 | 31.99 368 | 93.95 348 | 82.72 341 | 74.37 354 | 93.84 349 |
|
FPMVS | | | 77.92 334 | 79.45 332 | 73.34 352 | 76.87 365 | 46.81 371 | 98.24 350 | 99.05 308 | 59.89 361 | 73.55 357 | 98.34 322 | 36.81 366 | 86.55 358 | 80.96 343 | 91.35 282 | 86.65 360 |
|
tmp_tt | | | 75.80 335 | 74.26 336 | 80.43 345 | 52.91 373 | 53.67 370 | 87.42 363 | 97.98 345 | 61.80 359 | 67.04 362 | 100.00 1 | 76.43 349 | 96.40 333 | 96.47 253 | 28.26 366 | 91.23 354 |
|
no-one | | | 74.65 336 | 71.03 337 | 85.51 341 | 80.99 361 | 75.42 351 | 99.70 273 | 97.15 354 | 81.02 350 | 66.48 364 | 80.55 367 | 29.10 369 | 93.65 349 | 73.74 354 | 30.53 365 | 87.47 358 |
|
E-PMN | | | 70.72 337 | 70.06 338 | 72.69 354 | 83.92 358 | 65.48 363 | 99.95 218 | 92.72 366 | 49.88 365 | 72.30 358 | 86.26 361 | 47.17 364 | 77.43 365 | 53.83 365 | 44.49 361 | 75.17 367 |
|
PNet_i23d | | | 69.93 338 | 67.61 340 | 76.86 348 | 75.89 366 | 62.08 367 | 97.85 353 | 88.23 369 | 61.04 360 | 55.65 366 | 84.10 363 | 19.35 371 | 83.21 362 | 66.45 360 | 59.98 357 | 85.29 362 |
|
EMVS | | | 69.88 339 | 69.09 339 | 72.24 355 | 84.70 356 | 65.82 362 | 99.96 212 | 87.08 372 | 49.82 366 | 71.51 359 | 84.74 362 | 49.30 362 | 75.32 366 | 50.97 366 | 43.71 362 | 75.59 366 |
|
MVE | ![Method available under a permissive open source license. permissive](img/icon_permissive.png) | 68.59 21 | 67.22 340 | 64.68 342 | 74.84 349 | 74.67 368 | 62.32 366 | 95.84 357 | 90.87 368 | 50.98 364 | 58.72 365 | 81.05 365 | 12.20 375 | 78.95 364 | 61.06 363 | 56.75 358 | 83.24 363 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
ANet_high | | | 66.05 341 | 63.44 343 | 73.88 351 | 61.14 370 | 63.45 365 | 95.68 359 | 87.18 370 | 79.93 352 | 47.35 367 | 80.68 366 | 22.35 370 | 72.33 369 | 61.24 362 | 35.42 364 | 85.88 361 |
|
PMVS | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | 60.66 23 | 65.98 342 | 65.05 341 | 68.75 356 | 55.06 372 | 38.40 372 | 88.19 362 | 96.98 355 | 48.30 367 | 44.82 369 | 88.52 358 | 12.22 374 | 86.49 359 | 67.58 357 | 83.79 335 | 81.35 364 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
wuykxyi23d | | | 62.75 343 | 59.23 344 | 73.34 352 | 61.53 369 | 59.39 369 | 93.28 360 | 86.17 373 | 53.70 363 | 46.89 368 | 77.89 368 | 12.35 372 | 79.96 363 | 60.86 364 | 40.35 363 | 80.68 365 |
|
v1.0 | | | 41.47 344 | 55.29 345 | 0.00 359 | 100.00 1 | 0.00 374 | 0.00 365 | 99.42 130 | 98.23 65 | 100.00 1 | 100.00 1 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
pcd1.5k->3k | | | 40.07 345 | 42.58 346 | 32.57 357 | 97.97 297 | 0.00 374 | 0.00 365 | 99.25 240 | 0.00 369 | 0.00 371 | 0.14 371 | 91.10 253 | 0.00 371 | 0.00 368 | 94.75 248 | 97.70 280 |
|
wuyk23d | | | 28.28 346 | 29.73 348 | 23.92 358 | 75.89 366 | 32.61 373 | 66.50 364 | 12.88 375 | 16.09 368 | 14.59 370 | 16.59 370 | 12.35 372 | 32.36 370 | 39.36 367 | 13.36 368 | 6.79 368 |
|
cdsmvs_eth3d_5k | | | 24.41 347 | 32.55 347 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 99.39 179 | 0.00 369 | 0.00 371 | 100.00 1 | 93.55 212 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
ab-mvs-re | | | 8.33 348 | 11.11 349 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 100.00 1 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
pcd_1.5k_mvsjas | | | 8.24 349 | 10.99 350 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 0.14 371 | 98.75 110 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
sosnet-low-res | | | 0.01 350 | 0.02 351 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 0.14 371 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
sosnet | | | 0.01 350 | 0.02 351 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 0.14 371 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
uncertanet | | | 0.01 350 | 0.02 351 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 0.14 371 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
Regformer | | | 0.01 350 | 0.02 351 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 0.14 371 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
uanet | | | 0.01 350 | 0.02 351 | 0.00 359 | 0.00 374 | 0.00 374 | 0.00 365 | 0.00 376 | 0.00 369 | 0.00 371 | 0.14 371 | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
GSMVS | | | | | | | | | | | | | | | | | 99.91 132 |
|
test_part2 | | | | | | 100.00 1 | 99.99 1 | | | | 100.00 1 | | | | | | |
|
test_part1 | | | | | 0.00 359 | | 0.00 374 | 0.00 365 | 99.42 130 | | | | 0.00 376 | 0.00 371 | 0.00 368 | 0.00 369 | 0.00 369 |
|
sam_mvs1 | | | | | | | | | | | | | 99.29 65 | | | | 99.91 132 |
|
sam_mvs | | | | | | | | | | | | | 99.33 54 | | | | |
|
semantic-postprocess | | | | | 97.62 257 | 99.40 202 | 96.83 268 | | 99.14 272 | 94.65 253 | 97.55 277 | 99.72 216 | 89.64 276 | 98.31 295 | 95.62 264 | 92.05 274 | 97.73 266 |
|
ambc | | | | | 88.45 332 | 86.84 355 | 70.76 358 | 97.79 355 | 98.02 344 | | 90.91 328 | 95.14 346 | 38.69 365 | 98.51 285 | 94.97 275 | 84.23 334 | 96.09 335 |
|
MTGPA | ![Method available as binary. binary](img/icon_binary.png) | | | | | | | | 99.42 130 | | | | | | | | |
|
test_post1 | | | | | | | | 99.32 309 | | | | 88.24 359 | 99.33 54 | 99.59 186 | 98.31 198 | | |
|
test_post | | | | | | | | | | | | 89.05 357 | 99.49 36 | 99.59 186 | | | |
|
patchmatchnet-post | | | | | | | | | | | | 97.79 325 | 99.41 50 | 99.54 201 | | | |
|
GG-mvs-BLEND | | | | | 99.59 133 | 99.54 173 | 99.49 118 | 99.17 329 | 99.52 77 | | 99.96 91 | 99.68 228 | 100.00 1 | 99.33 223 | 99.71 104 | 99.99 87 | 99.96 108 |
|
MTMP | | | | | | | | 100.00 1 | 99.18 262 | | | | | | | | |
|
gm-plane-assit | | | | | | 99.52 184 | 97.26 256 | | | 95.86 220 | | 100.00 1 | | 99.43 215 | 98.76 176 | | |
|
test9_res | | | | | | | | | | | | | | | 100.00 1 | 100.00 1 | 100.00 1 |
|
TEST9 | | | | | | 100.00 1 | 99.95 19 | 100.00 1 | 99.42 130 | 97.65 120 | 100.00 1 | 100.00 1 | 99.53 27 | 99.97 103 | | | |
|
test_8 | | | | | | 100.00 1 | 99.91 39 | 100.00 1 | 99.42 130 | 97.70 110 | 100.00 1 | 100.00 1 | 99.51 30 | 99.98 99 | | | |
|
agg_prior2 | | | | | | | | | | | | | | | 100.00 1 | 100.00 1 | 100.00 1 |
|
agg_prior | | | | | | 100.00 1 | 99.88 61 | | 99.42 130 | | 100.00 1 | | | 99.97 103 | | | |
|
TestCases | | | | | 98.99 178 | 99.93 90 | 97.35 250 | | 99.40 164 | 97.08 162 | 99.09 194 | 99.98 149 | 93.37 213 | 99.95 124 | 96.94 242 | 99.84 111 | 99.68 203 |
|
test_prior4 | | | | | | | 99.93 32 | 100.00 1 | | | | | | | | | |
|
test_prior2 | | | | | | | | 100.00 1 | | 98.82 34 | 100.00 1 | 100.00 1 | 99.47 39 | | 100.00 1 | 100.00 1 | |
|
test_prior | | | | | 99.90 75 | 100.00 1 | 99.75 88 | | 99.73 56 | | | | | 99.97 103 | | | 100.00 1 |
|
旧先验2 | | | | | | | | 100.00 1 | | 98.11 75 | 100.00 1 | | | 100.00 1 | 99.67 111 | | |
|
æ–°å‡ ä½•2 | | | | | | | | 100.00 1 | | | | | | | | | |
|
æ–°å‡ ä½•1 | | | | | 99.99 4 | 100.00 1 | 99.96 10 | | 99.81 42 | 97.89 93 | 100.00 1 | 100.00 1 | 99.20 76 | 100.00 1 | 97.91 219 | 100.00 1 | 100.00 1 |
|
旧先验1 | | | | | | 99.99 46 | 99.88 61 | | 99.82 41 | | | 100.00 1 | 99.27 69 | | | 100.00 1 | 100.00 1 |
|
æ— å…ˆéªŒ | | | | | | | | 100.00 1 | 99.80 43 | 97.98 84 | | | | 100.00 1 | 99.33 144 | | 100.00 1 |
|
原ACMM2 | | | | | | | | 100.00 1 | | | | | | | | | |
|
原ACMM1 | | | | | 99.93 65 | 100.00 1 | 99.80 83 | | 99.66 72 | 98.18 66 | 100.00 1 | 100.00 1 | 99.43 47 | 100.00 1 | 99.50 131 | 100.00 1 | 100.00 1 |
|
test222 | | | | | | 99.99 46 | 99.90 45 | 100.00 1 | 99.69 71 | 97.66 113 | 100.00 1 | 100.00 1 | 99.30 64 | | | 100.00 1 | 100.00 1 |
|
testdata2 | | | | | | | | | | | | | | 100.00 1 | 97.36 235 | | |
|
segment_acmp | | | | | | | | | | | | | 99.55 26 | | | | |
|
testdata | | | | | 99.66 123 | 99.99 46 | 98.97 166 | | 99.73 56 | 97.96 88 | 100.00 1 | 100.00 1 | 99.42 49 | 100.00 1 | 99.28 148 | 100.00 1 | 100.00 1 |
|
testdata1 | | | | | | | | 100.00 1 | | 98.77 38 | | | | | | | |
|
test12 | | | | | 99.95 47 | 99.99 46 | 99.89 51 | | 99.42 130 | | 100.00 1 | | 99.24 71 | 99.97 103 | | 100.00 1 | 100.00 1 |
|
plane_prior7 | | | | | | 99.00 233 | 94.78 300 | | | | | | | | | | |
|
plane_prior6 | | | | | | 99.06 225 | 94.80 296 | | | | | | 88.58 290 | | | | |
|
plane_prior5 | | | | | | | | | 99.40 164 | | | | | 99.55 198 | 99.79 94 | 95.57 227 | 97.76 228 |
|
plane_prior4 | | | | | | | | | | | | 99.97 159 | | | | | |
|
plane_prior3 | | | | | | | 94.79 299 | | | 99.03 16 | 99.08 196 | | | | | | |
|
plane_prior2 | | | | | | | | 100.00 1 | | 99.00 19 | | | | | | | |
|
plane_prior1 | | | | | | 99.02 228 | | | | | | | | | | | |
|
plane_prior | | | | | | | 94.80 296 | 100.00 1 | | 99.03 16 | | | | | | 95.58 223 | |
|
n2 | | | | | | | | | 0.00 376 | | | | | | | | |
|
nn | | | | | | | | | 0.00 376 | | | | | | | | |
|
door-mid | | | | | | | | | 96.32 361 | | | | | | | | |
|
lessismore_v0 | | | | | 96.05 310 | 97.55 314 | 91.80 331 | | 99.22 250 | | 91.87 326 | 99.91 190 | 83.50 324 | 98.68 270 | 92.48 303 | 90.42 293 | 97.68 287 |
|
LGP-MVS_train | | | | | 97.28 271 | 98.85 248 | 94.60 306 | | 99.37 186 | 97.35 143 | 98.85 208 | 99.98 149 | 86.66 304 | 99.56 193 | 99.55 123 | 95.26 234 | 97.70 280 |
|
test11 | | | | | | | | | 99.42 130 | | | | | | | | |
|
door | | | | | | | | | 96.13 362 | | | | | | | | |
|
HQP5-MVS | | | | | | | 94.82 293 | | | | | | | | | | |
|
HQP-NCC | | | | | | 99.07 221 | | 100.00 1 | | 99.04 13 | 99.17 188 | | | | | | |
|
ACMP_Plane | | | | | | 99.07 221 | | 100.00 1 | | 99.04 13 | 99.17 188 | | | | | | |
|
BP-MVS | | | | | | | | | | | | | | | 99.79 94 | | |
|
HQP4-MVS | | | | | | | | | | | 99.17 188 | | | 99.57 189 | | | 97.77 226 |
|
HQP3-MVS | | | | | | | | | 99.40 164 | | | | | | | 95.58 223 | |
|
HQP2-MVS | | | | | | | | | | | | | 88.61 288 | | | | |
|
NP-MVS | | | | | | 99.07 221 | 94.81 295 | | | | | 99.97 159 | | | | | |
|
MDTV_nov1_ep13_2view | | | | | | | 99.24 145 | 99.56 290 | | 96.31 208 | 99.96 91 | | 98.86 104 | | 98.92 167 | | 99.89 145 |
|
MDTV_nov1_ep13 | | | | 98.94 117 | | 99.53 178 | 98.36 190 | 99.39 303 | 99.46 99 | 96.54 193 | 99.99 79 | 99.63 240 | 98.92 100 | 99.86 147 | 98.30 199 | 98.71 136 | |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 94.58 253 | |
|
ACMMP++ | | | | | | | | | | | | | | | | 95.17 240 | |
|
Test By Simon | | | | | | | | | | | | | 99.10 83 | | | | |
|
ITE_SJBPF | | | | | 96.84 295 | 98.96 239 | 93.49 317 | | 98.12 339 | 98.12 74 | 98.35 243 | 99.97 159 | 84.45 316 | 99.56 193 | 95.63 263 | 95.25 236 | 97.49 311 |
|
DeepMVS_CX | ![Method available under an open source license with copyleft or other restrictive terms. copyleft](img/icon_copyleft.png) | | | | 89.98 331 | 98.90 242 | 71.46 357 | | 99.18 262 | 97.61 124 | 96.92 290 | 99.83 201 | 86.07 308 | 99.83 157 | 96.02 255 | 97.65 209 | 98.65 220 |
|