MSLP-MVS++ | | | 99.89 1 | 99.85 2 | 99.99 4 | 100.00 1 | 99.96 8 | 100.00 1 | 99.95 15 | 99.11 6 | 100.00 1 | 100.00 1 | 99.60 11 | 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 50 | 99.07 8 | 100.00 1 | 100.00 1 | 99.59 13 | 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 80 | 99.99 43 | 99.97 6 | 99.97 176 | 99.98 13 | 98.96 21 | 100.00 1 | 100.00 1 | 99.96 3 | 99.42 185 | 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 45 | 99.19 5 | 100.00 1 | 100.00 1 | 99.31 44 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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CNVR-MVS | | | 99.85 3 | 99.80 4 | 100.00 1 | 100.00 1 | 99.99 1 | 100.00 1 | 99.77 35 | 99.07 8 | 100.00 1 | 100.00 1 | 99.39 38 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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APDe-MVS | | | 99.84 6 | 99.78 6 | 99.99 4 | 100.00 1 | 99.98 4 | 100.00 1 | 99.44 87 | 99.06 10 | 100.00 1 | 100.00 1 | 99.56 15 | 99.99 69 | 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 8 | 100.00 1 | 99.43 96 | 99.05 12 | 100.00 1 | 100.00 1 | 99.45 32 | 99.99 69 | 100.00 1 | 100.00 1 | 100.00 1 |
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HPM-MVS++ | | | 99.82 7 | 99.76 10 | 99.99 4 | 99.99 43 | 99.98 4 | 100.00 1 | 99.83 30 | 98.88 29 | 99.96 86 | 100.00 1 | 99.21 60 | 100.00 1 | 100.00 1 | 100.00 1 | 99.99 85 |
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HSP-MVS | | | 99.81 9 | 99.77 8 | 99.94 50 | 100.00 1 | 99.86 57 | 100.00 1 | 99.42 102 | 98.87 31 | 100.00 1 | 100.00 1 | 99.65 10 | 99.96 101 | 100.00 1 | 100.00 1 | 100.00 1 |
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test_prior3 | | | 99.81 9 | 99.78 6 | 99.90 60 | 100.00 1 | 99.75 69 | 100.00 1 | 99.73 45 | 98.82 34 | 100.00 1 | 100.00 1 | 99.47 29 | 99.97 86 | 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 43 | 99.96 8 | 100.00 1 | 99.42 102 | 99.01 18 | 100.00 1 | 100.00 1 | 99.33 40 | 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 15 | 100.00 1 | 99.94 25 | 100.00 1 | 99.75 40 | 98.67 41 | 100.00 1 | 100.00 1 | 99.16 65 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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SteuartSystems-ACMMP | | | 99.78 13 | 99.71 16 | 99.98 15 | 99.76 104 | 99.95 17 | 100.00 1 | 99.42 102 | 98.69 39 | 100.00 1 | 100.00 1 | 99.52 18 | 99.99 69 | 100.00 1 | 100.00 1 | 100.00 1 |
Skip Steuart: Steuart Systems R&D Blog. |
PAPM | | | 99.78 13 | 99.76 10 | 99.85 70 | 99.01 194 | 99.95 17 | 100.00 1 | 99.75 40 | 99.37 3 | 99.99 74 | 100.00 1 | 99.76 6 | 99.60 152 | 100.00 1 | 100.00 1 | 100.00 1 |
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DP-MVS Recon | | | 99.76 15 | 99.69 18 | 99.98 15 | 100.00 1 | 99.95 17 | 100.00 1 | 99.52 57 | 97.99 80 | 99.99 74 | 100.00 1 | 99.72 7 | 100.00 1 | 99.96 62 | 100.00 1 | 100.00 1 |
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PAPR | | | 99.76 15 | 99.68 21 | 99.99 4 | 100.00 1 | 99.96 8 | 100.00 1 | 99.47 65 | 98.16 65 | 100.00 1 | 100.00 1 | 99.51 20 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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#test# | | | 99.75 17 | 99.68 21 | 99.96 34 | 100.00 1 | 99.89 45 | 100.00 1 | 99.76 36 | 98.07 75 | 100.00 1 | 100.00 1 | 99.31 44 | 100.00 1 | 99.99 41 | 100.00 1 | 100.00 1 |
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Regformer-1 | | | 99.75 17 | 99.68 21 | 99.98 15 | 100.00 1 | 99.94 25 | 100.00 1 | 99.44 87 | 98.43 50 | 100.00 1 | 100.00 1 | 99.23 58 | 99.99 69 | 99.99 41 | 100.00 1 | 100.00 1 |
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Regformer-2 | | | 99.75 17 | 99.68 21 | 99.97 22 | 100.00 1 | 99.94 25 | 100.00 1 | 99.44 87 | 98.42 53 | 100.00 1 | 100.00 1 | 99.22 59 | 99.99 69 | 99.99 41 | 100.00 1 | 100.00 1 |
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DeepC-MVS_fast | | 98.92 1 | 99.75 17 | 99.67 26 | 99.99 4 | 99.99 43 | 99.96 8 | 99.73 234 | 99.52 57 | 99.06 10 | 100.00 1 | 100.00 1 | 98.80 93 | 100.00 1 | 99.95 67 | 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 17 | 99.68 21 | 99.97 22 | 100.00 1 | 99.91 36 | 99.98 170 | 99.47 65 | 99.09 7 | 100.00 1 | 100.00 1 | 98.59 101 | 100.00 1 | 99.95 67 | 100.00 1 | 100.00 1 |
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HFP-MVS | | | 99.74 22 | 99.67 26 | 99.96 34 | 100.00 1 | 99.89 45 | 100.00 1 | 99.76 36 | 97.95 87 | 100.00 1 | 100.00 1 | 99.31 44 | 100.00 1 | 99.99 41 | 100.00 1 | 100.00 1 |
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ACMMPR | | | 99.74 22 | 99.67 26 | 99.96 34 | 100.00 1 | 99.89 45 | 100.00 1 | 99.76 36 | 97.95 87 | 100.00 1 | 100.00 1 | 99.29 51 | 100.00 1 | 99.99 41 | 100.00 1 | 100.00 1 |
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PAPM_NR | | | 99.74 22 | 99.66 29 | 99.99 4 | 100.00 1 | 99.96 8 | 100.00 1 | 99.47 65 | 97.87 93 | 100.00 1 | 100.00 1 | 99.60 11 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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Regformer-3 | | | 99.73 25 | 99.65 30 | 99.96 34 | 100.00 1 | 99.89 45 | 100.00 1 | 99.44 87 | 98.40 54 | 100.00 1 | 100.00 1 | 99.03 75 | 99.97 86 | 99.99 41 | 100.00 1 | 100.00 1 |
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Regformer-4 | | | 99.73 25 | 99.65 30 | 99.95 43 | 100.00 1 | 99.89 45 | 100.00 1 | 99.44 87 | 98.40 54 | 100.00 1 | 100.00 1 | 99.03 75 | 99.97 86 | 99.99 41 | 100.00 1 | 100.00 1 |
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CDPH-MVS | | | 99.73 25 | 99.64 34 | 99.99 4 | 100.00 1 | 99.97 6 | 100.00 1 | 99.42 102 | 98.02 78 | 100.00 1 | 100.00 1 | 99.32 43 | 99.99 69 | 100.00 1 | 100.00 1 | 100.00 1 |
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region2R | | | 99.72 28 | 99.64 34 | 99.97 22 | 100.00 1 | 99.90 42 | 100.00 1 | 99.74 43 | 97.86 94 | 100.00 1 | 100.00 1 | 99.19 62 | 100.00 1 | 99.99 41 | 100.00 1 | 100.00 1 |
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API-MVS | | | 99.72 28 | 99.70 17 | 99.79 82 | 99.97 74 | 99.37 104 | 99.96 179 | 99.94 18 | 98.48 48 | 100.00 1 | 100.00 1 | 98.92 85 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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CNLPA | | | 99.72 28 | 99.65 30 | 99.91 57 | 99.97 74 | 99.72 73 | 100.00 1 | 99.47 65 | 98.43 50 | 99.88 117 | 100.00 1 | 99.14 67 | 100.00 1 | 99.97 60 | 100.00 1 | 100.00 1 |
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train_agg | | | 99.71 31 | 99.63 38 | 99.97 22 | 100.00 1 | 99.95 17 | 100.00 1 | 99.42 102 | 97.70 105 | 100.00 1 | 100.00 1 | 99.51 20 | 99.97 86 | 100.00 1 | 100.00 1 | 100.00 1 |
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agg_prior3 | | | 99.71 31 | 99.63 38 | 99.97 22 | 100.00 1 | 99.95 17 | 100.00 1 | 99.42 102 | 97.71 104 | 100.00 1 | 100.00 1 | 99.51 20 | 99.97 86 | 100.00 1 | 100.00 1 | 100.00 1 |
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agg_prior1 | | | 99.71 31 | 99.63 38 | 99.95 43 | 100.00 1 | 99.88 53 | 100.00 1 | 99.42 102 | 97.72 102 | 100.00 1 | 100.00 1 | 99.51 20 | 99.97 86 | 100.00 1 | 100.00 1 | 100.00 1 |
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MVS_111021_HR | | | 99.71 31 | 99.63 38 | 99.93 52 | 99.95 81 | 99.83 62 | 100.00 1 | 100.00 1 | 98.89 28 | 100.00 1 | 100.00 1 | 97.85 115 | 99.95 106 | 100.00 1 | 100.00 1 | 100.00 1 |
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EI-MVSNet-Vis-set | | | 99.70 35 | 99.64 34 | 99.87 67 | 100.00 1 | 99.64 83 | 99.98 170 | 99.44 87 | 98.35 59 | 99.99 74 | 100.00 1 | 99.04 72 | 99.96 101 | 99.98 55 | 100.00 1 | 100.00 1 |
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MVS_111021_LR | | | 99.70 35 | 99.65 30 | 99.88 66 | 99.96 79 | 99.70 78 | 100.00 1 | 99.97 14 | 98.96 21 | 100.00 1 | 100.00 1 | 97.93 114 | 99.95 106 | 99.99 41 | 100.00 1 | 100.00 1 |
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PLC | | 98.56 2 | 99.70 35 | 99.74 13 | 99.58 108 | 100.00 1 | 98.79 141 | 100.00 1 | 99.54 56 | 98.58 46 | 99.96 86 | 100.00 1 | 99.59 13 | 100.00 1 | 100.00 1 | 100.00 1 | 99.94 97 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
EI-MVSNet-UG-set | | | 99.69 38 | 99.63 38 | 99.87 67 | 99.99 43 | 99.64 83 | 99.95 185 | 99.44 87 | 98.35 59 | 100.00 1 | 100.00 1 | 98.98 77 | 99.97 86 | 99.98 55 | 100.00 1 | 100.00 1 |
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PGM-MVS | | | 99.69 38 | 99.61 43 | 99.95 43 | 99.99 43 | 99.85 59 | 100.00 1 | 99.58 54 | 97.69 107 | 100.00 1 | 100.00 1 | 99.44 33 | 100.00 1 | 99.79 87 | 100.00 1 | 100.00 1 |
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mPP-MVS | | | 99.69 38 | 99.60 44 | 99.97 22 | 100.00 1 | 99.91 36 | 100.00 1 | 99.42 102 | 97.91 89 | 100.00 1 | 100.00 1 | 99.04 72 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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MPTG | | | 99.68 41 | 99.59 45 | 99.97 22 | 99.99 43 | 99.91 36 | 100.00 1 | 99.42 102 | 98.32 61 | 99.94 105 | 100.00 1 | 98.65 98 | 100.00 1 | 99.96 62 | 100.00 1 | 100.00 1 |
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MTAPA | | | 99.68 41 | 99.59 45 | 99.97 22 | 99.99 43 | 99.91 36 | 100.00 1 | 99.42 102 | 98.32 61 | 99.94 105 | 100.00 1 | 98.65 98 | 100.00 1 | 99.96 62 | 100.00 1 | 100.00 1 |
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APD-MVS | | | 99.68 41 | 99.58 47 | 99.97 22 | 99.99 43 | 99.96 8 | 100.00 1 | 99.42 102 | 97.53 120 | 100.00 1 | 100.00 1 | 99.27 55 | 99.97 86 | 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 44 | 99.57 49 | 99.97 22 | 99.98 69 | 99.92 33 | 100.00 1 | 99.42 102 | 97.83 95 | 100.00 1 | 100.00 1 | 98.89 88 | 100.00 1 | 99.98 55 | 100.00 1 | 100.00 1 |
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CP-MVS | | | 99.67 44 | 99.58 47 | 99.95 43 | 100.00 1 | 99.84 61 | 100.00 1 | 99.42 102 | 97.77 99 | 100.00 1 | 100.00 1 | 99.07 69 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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APD-MVS_3200maxsize | | | 99.65 46 | 99.55 53 | 99.97 22 | 99.99 43 | 99.91 36 | 100.00 1 | 99.48 64 | 97.54 119 | 100.00 1 | 100.00 1 | 98.97 78 | 99.99 69 | 99.98 55 | 100.00 1 | 100.00 1 |
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ACMMP | | | 99.65 46 | 99.57 49 | 99.89 63 | 99.99 43 | 99.66 81 | 99.75 229 | 99.73 45 | 98.16 65 | 99.75 130 | 100.00 1 | 98.90 87 | 100.00 1 | 99.96 62 | 99.88 103 | 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 |
PS-MVSNAJ | | | 99.64 48 | 99.57 49 | 99.85 70 | 99.78 100 | 99.81 63 | 99.95 185 | 99.42 102 | 98.38 56 | 100.00 1 | 100.00 1 | 98.75 95 | 100.00 1 | 99.88 75 | 99.99 85 | 99.74 163 |
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F-COLMAP | | | 99.64 48 | 99.64 34 | 99.67 95 | 99.99 43 | 99.07 125 | 100.00 1 | 99.44 87 | 98.30 63 | 99.90 113 | 100.00 1 | 99.18 63 | 99.99 69 | 99.91 71 | 100.00 1 | 99.94 97 |
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1121 | | | 99.63 50 | 99.51 54 | 99.99 4 | 99.99 43 | 99.96 8 | 99.24 280 | 99.74 43 | 97.89 90 | 100.00 1 | 100.00 1 | 99.39 38 | 100.00 1 | 99.33 125 | 100.00 1 | 100.00 1 |
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EPNet | | | 99.62 51 | 99.69 18 | 99.42 119 | 99.99 43 | 98.37 157 | 100.00 1 | 99.89 27 | 98.83 32 | 100.00 1 | 100.00 1 | 98.97 78 | 100.00 1 | 99.90 72 | 99.61 116 | 99.89 117 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
DELS-MVS | | | 99.62 51 | 99.56 52 | 99.82 74 | 99.92 89 | 99.45 98 | 100.00 1 | 99.78 34 | 98.92 26 | 99.73 131 | 100.00 1 | 97.70 118 | 100.00 1 | 99.93 69 | 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 53 | 99.50 55 | 99.97 22 | 99.98 69 | 99.92 33 | 100.00 1 | 99.42 102 | 97.53 120 | 99.77 127 | 100.00 1 | 98.77 94 | 100.00 1 | 99.99 41 | 100.00 1 | 99.99 85 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
MP-MVS | | | 99.61 53 | 99.49 57 | 99.98 15 | 99.99 43 | 99.94 25 | 100.00 1 | 99.42 102 | 97.82 96 | 99.99 74 | 100.00 1 | 98.20 108 | 100.00 1 | 99.99 41 | 100.00 1 | 100.00 1 |
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TSAR-MVS + GP. | | | 99.61 53 | 99.69 18 | 99.35 125 | 99.99 43 | 98.06 188 | 100.00 1 | 99.36 161 | 99.83 2 | 100.00 1 | 100.00 1 | 98.95 81 | 99.99 69 | 100.00 1 | 99.11 121 | 100.00 1 |
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HPM-MVS_fast | | | 99.60 56 | 99.49 57 | 99.91 57 | 99.99 43 | 99.78 67 | 100.00 1 | 99.42 102 | 97.09 139 | 100.00 1 | 100.00 1 | 98.95 81 | 99.96 101 | 99.98 55 | 100.00 1 | 100.00 1 |
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HPM-MVS | | | 99.59 57 | 99.50 55 | 99.89 63 | 100.00 1 | 99.70 78 | 100.00 1 | 99.42 102 | 97.46 122 | 100.00 1 | 100.00 1 | 98.60 100 | 99.96 101 | 99.99 41 | 100.00 1 | 100.00 1 |
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WTY-MVS | | | 99.54 58 | 99.40 60 | 99.95 43 | 99.81 95 | 99.93 30 | 100.00 1 | 100.00 1 | 97.98 82 | 99.84 120 | 100.00 1 | 98.94 83 | 99.98 82 | 99.86 77 | 98.21 157 | 99.94 97 |
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abl_6 | | | 99.53 59 | 99.40 60 | 99.92 55 | 100.00 1 | 99.76 68 | 100.00 1 | 99.42 102 | 97.21 135 | 100.00 1 | 100.00 1 | 98.12 110 | 100.00 1 | 99.82 86 | 100.00 1 | 100.00 1 |
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xiu_mvs_v2_base | | | 99.51 60 | 99.41 59 | 99.82 74 | 99.70 109 | 99.73 72 | 99.92 193 | 99.40 133 | 98.15 67 | 100.00 1 | 100.00 1 | 98.50 104 | 100.00 1 | 99.85 79 | 99.13 120 | 99.74 163 |
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HY-MVS | | 96.53 9 | 99.50 61 | 99.35 67 | 99.96 34 | 99.81 95 | 99.93 30 | 99.64 250 | 100.00 1 | 97.97 84 | 99.84 120 | 99.85 166 | 98.94 83 | 99.99 69 | 99.86 77 | 98.23 156 | 99.95 94 |
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PHI-MVS | | | 99.50 61 | 99.39 62 | 99.82 74 | 100.00 1 | 99.45 98 | 100.00 1 | 99.94 18 | 96.38 177 | 100.00 1 | 100.00 1 | 98.18 109 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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CPTT-MVS | | | 99.49 63 | 99.38 63 | 99.85 70 | 100.00 1 | 99.54 87 | 100.00 1 | 99.42 102 | 97.58 117 | 99.98 79 | 100.00 1 | 97.43 125 | 100.00 1 | 99.99 41 | 100.00 1 | 100.00 1 |
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MAR-MVS | | | 99.49 63 | 99.36 65 | 99.89 63 | 99.97 74 | 99.66 81 | 99.74 230 | 99.95 15 | 97.89 90 | 100.00 1 | 100.00 1 | 96.71 138 | 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 65 | 99.36 65 | 99.83 73 | 99.98 69 | 99.60 85 | 100.00 1 | 100.00 1 | 97.79 98 | 100.00 1 | 100.00 1 | 96.57 140 | 99.99 69 | 100.00 1 | 99.88 103 | 99.90 112 |
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sss | | | 99.45 66 | 99.34 69 | 99.80 80 | 99.76 104 | 99.50 89 | 100.00 1 | 99.91 26 | 97.72 102 | 99.98 79 | 99.94 154 | 98.45 105 | 100.00 1 | 99.53 114 | 98.75 129 | 99.89 117 |
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AdaColmap | | | 99.44 67 | 99.26 70 | 99.95 43 | 100.00 1 | 99.86 57 | 99.70 240 | 99.99 10 | 98.53 47 | 99.90 113 | 100.00 1 | 95.34 159 | 100.00 1 | 99.92 70 | 100.00 1 | 100.00 1 |
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114514_t | | | 99.39 68 | 99.25 71 | 99.81 77 | 99.97 74 | 99.48 96 | 100.00 1 | 99.42 102 | 95.53 200 | 100.00 1 | 100.00 1 | 98.37 107 | 99.95 106 | 99.97 60 | 100.00 1 | 100.00 1 |
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alignmvs | | | 99.38 69 | 99.21 75 | 99.91 57 | 99.73 107 | 99.92 33 | 100.00 1 | 99.51 62 | 97.61 113 | 100.00 1 | 100.00 1 | 99.06 70 | 99.93 119 | 99.83 82 | 97.12 184 | 99.90 112 |
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1314 | | | 99.38 69 | 99.19 79 | 99.96 34 | 98.88 209 | 99.89 45 | 99.24 280 | 99.93 21 | 98.88 29 | 98.79 181 | 100.00 1 | 97.02 128 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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MVS_0305 | | | 99.36 71 | 99.17 81 | 99.93 52 | 99.99 43 | 99.80 65 | 100.00 1 | 99.52 57 | 98.43 50 | 99.85 119 | 100.00 1 | 94.88 168 | 100.00 1 | 100.00 1 | 99.88 103 | 100.00 1 |
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xiu_mvs_v1_base_debu | | | 99.35 72 | 99.21 75 | 99.79 82 | 99.67 114 | 99.71 74 | 99.78 220 | 99.36 161 | 98.13 69 | 100.00 1 | 100.00 1 | 97.00 130 | 100.00 1 | 99.83 82 | 99.07 122 | 99.66 172 |
|
xiu_mvs_v1_base | | | 99.35 72 | 99.21 75 | 99.79 82 | 99.67 114 | 99.71 74 | 99.78 220 | 99.36 161 | 98.13 69 | 100.00 1 | 100.00 1 | 97.00 130 | 100.00 1 | 99.83 82 | 99.07 122 | 99.66 172 |
|
xiu_mvs_v1_base_debi | | | 99.35 72 | 99.21 75 | 99.79 82 | 99.67 114 | 99.71 74 | 99.78 220 | 99.36 161 | 98.13 69 | 100.00 1 | 100.00 1 | 97.00 130 | 100.00 1 | 99.83 82 | 99.07 122 | 99.66 172 |
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PVSNet_Blended_VisFu | | | 99.33 75 | 99.18 80 | 99.78 86 | 99.82 94 | 99.49 92 | 100.00 1 | 99.95 15 | 97.36 128 | 99.63 137 | 100.00 1 | 96.45 144 | 99.95 106 | 99.79 87 | 99.65 115 | 99.89 117 |
|
HyFIR lowres test | | | 99.32 76 | 99.24 73 | 99.58 108 | 99.95 81 | 99.26 112 | 100.00 1 | 99.99 10 | 96.72 155 | 99.29 152 | 99.91 158 | 99.49 26 | 99.47 180 | 99.74 95 | 98.08 164 | 100.00 1 |
|
LS3D | | | 99.31 77 | 99.13 83 | 99.87 67 | 99.99 43 | 99.71 74 | 99.55 257 | 99.46 77 | 97.32 132 | 99.82 124 | 100.00 1 | 96.85 135 | 99.97 86 | 99.14 134 | 100.00 1 | 99.92 104 |
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PVSNet | | 94.91 18 | 99.30 78 | 99.25 71 | 99.44 116 | 100.00 1 | 98.32 163 | 100.00 1 | 99.86 29 | 98.04 77 | 100.00 1 | 100.00 1 | 96.10 148 | 100.00 1 | 99.55 110 | 99.73 111 | 100.00 1 |
|
lupinMVS | | | 99.29 79 | 99.16 82 | 99.69 94 | 99.45 159 | 99.49 92 | 100.00 1 | 99.15 231 | 97.45 123 | 99.97 83 | 100.00 1 | 96.76 136 | 99.76 143 | 99.67 103 | 100.00 1 | 99.81 148 |
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CSCG | | | 99.28 80 | 99.35 67 | 99.05 143 | 99.99 43 | 97.15 225 | 100.00 1 | 99.47 65 | 97.44 124 | 99.42 145 | 100.00 1 | 97.83 116 | 100.00 1 | 99.99 41 | 100.00 1 | 100.00 1 |
|
OMC-MVS | | | 99.27 81 | 99.38 63 | 98.96 150 | 99.95 81 | 97.06 229 | 100.00 1 | 99.40 133 | 98.83 32 | 99.88 117 | 100.00 1 | 97.01 129 | 99.86 129 | 99.47 117 | 99.84 107 | 99.97 89 |
|
EPMVS | | | 99.25 82 | 99.13 83 | 99.60 101 | 99.60 129 | 99.20 119 | 99.60 253 | 100.00 1 | 96.93 146 | 99.92 111 | 99.36 225 | 99.05 71 | 99.71 149 | 98.77 149 | 98.94 126 | 99.90 112 |
|
MVS | | | 99.22 83 | 98.96 89 | 99.98 15 | 99.00 198 | 99.95 17 | 99.24 280 | 99.94 18 | 98.14 68 | 98.88 174 | 100.00 1 | 95.63 157 | 100.00 1 | 99.85 79 | 100.00 1 | 100.00 1 |
|
DWT-MVSNet_test | | | 99.22 83 | 99.22 74 | 99.22 136 | 99.56 140 | 97.98 192 | 99.89 199 | 99.39 148 | 97.20 136 | 99.96 86 | 100.00 1 | 99.52 18 | 99.82 137 | 99.11 137 | 98.34 149 | 99.87 136 |
|
MVS_test0326 | | | 99.16 85 | 98.90 99 | 99.92 55 | 99.98 69 | 99.85 59 | 100.00 1 | 99.88 28 | 98.92 26 | 100.00 1 | 99.99 130 | 93.20 184 | 100.00 1 | 98.26 174 | 99.91 100 | 99.91 105 |
|
PatchFormer-LS_test | | | 99.14 86 | 99.12 85 | 99.19 137 | 99.54 141 | 97.86 202 | 99.66 248 | 99.40 133 | 96.94 145 | 99.96 86 | 100.00 1 | 99.29 51 | 99.84 133 | 98.96 140 | 98.29 152 | 99.88 129 |
|
PMMVS | | | 99.12 87 | 98.97 88 | 99.58 108 | 99.57 138 | 98.98 134 | 100.00 1 | 99.30 186 | 97.14 138 | 99.96 86 | 100.00 1 | 96.53 143 | 99.82 137 | 99.70 99 | 98.49 135 | 99.94 97 |
|
jason | | | 99.11 88 | 98.96 89 | 99.59 104 | 99.17 180 | 99.31 107 | 100.00 1 | 99.13 240 | 97.38 127 | 99.83 122 | 100.00 1 | 95.54 158 | 99.72 148 | 99.57 109 | 99.97 94 | 99.74 163 |
jason: jason. |
EPP-MVSNet | | | 99.10 89 | 99.00 86 | 99.40 120 | 99.51 152 | 98.68 144 | 99.92 193 | 99.43 96 | 95.47 206 | 99.65 136 | 100.00 1 | 99.51 20 | 99.76 143 | 99.53 114 | 98.00 166 | 99.75 159 |
|
TESTMET0.1,1 | | | 99.08 90 | 98.96 89 | 99.44 116 | 99.63 123 | 99.38 102 | 100.00 1 | 99.45 79 | 95.53 200 | 99.48 142 | 100.00 1 | 99.71 8 | 99.02 201 | 96.84 213 | 99.99 85 | 99.91 105 |
|
IS-MVSNet | | | 99.08 90 | 98.91 96 | 99.59 104 | 99.65 118 | 99.38 102 | 99.78 220 | 99.24 210 | 96.70 156 | 99.51 140 | 100.00 1 | 98.44 106 | 99.52 174 | 98.47 165 | 98.39 144 | 99.88 129 |
|
UA-Net | | | 99.06 92 | 98.83 102 | 99.74 89 | 99.52 149 | 99.40 101 | 99.08 301 | 99.45 79 | 97.64 111 | 99.83 122 | 100.00 1 | 95.80 151 | 99.94 117 | 98.35 169 | 99.80 110 | 99.88 129 |
|
3Dnovator | | 95.63 14 | 99.06 92 | 98.76 109 | 99.96 34 | 98.86 212 | 99.90 42 | 99.98 170 | 99.93 21 | 98.95 24 | 98.49 204 | 100.00 1 | 92.91 188 | 100.00 1 | 99.71 97 | 100.00 1 | 100.00 1 |
|
VNet | | | 99.04 94 | 98.75 110 | 99.90 60 | 99.81 95 | 99.75 69 | 99.50 262 | 99.47 65 | 98.36 58 | 100.00 1 | 99.99 130 | 94.66 170 | 100.00 1 | 99.90 72 | 97.09 185 | 99.96 90 |
|
canonicalmvs | | | 99.03 95 | 98.73 111 | 99.94 50 | 99.75 106 | 99.95 17 | 100.00 1 | 99.30 186 | 97.64 111 | 100.00 1 | 100.00 1 | 95.22 161 | 99.97 86 | 99.76 93 | 96.90 188 | 99.91 105 |
|
test-LLR | | | 99.03 95 | 98.91 96 | 99.40 120 | 99.40 167 | 99.28 109 | 100.00 1 | 99.45 79 | 96.70 156 | 99.42 145 | 99.12 234 | 99.31 44 | 99.01 202 | 96.82 214 | 99.99 85 | 99.91 105 |
|
PatchmatchNet | | | 99.03 95 | 98.96 89 | 99.26 133 | 99.49 157 | 98.33 160 | 99.38 270 | 99.45 79 | 96.64 161 | 99.96 86 | 99.58 211 | 99.49 26 | 99.50 177 | 97.63 191 | 99.00 125 | 99.93 102 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
3Dnovator+ | | 95.58 15 | 99.03 95 | 98.71 113 | 99.96 34 | 98.99 201 | 99.89 45 | 100.00 1 | 99.51 62 | 98.96 21 | 98.32 211 | 100.00 1 | 92.78 189 | 100.00 1 | 99.87 76 | 100.00 1 | 100.00 1 |
|
PatchMatch-RL | | | 99.02 99 | 98.78 107 | 99.74 89 | 99.99 43 | 99.29 108 | 100.00 1 | 100.00 1 | 98.38 56 | 99.89 116 | 99.81 175 | 93.14 186 | 99.99 69 | 97.85 186 | 99.98 91 | 99.95 94 |
|
CHOSEN 1792x2688 | | | 99.00 100 | 98.91 96 | 99.25 134 | 99.90 92 | 97.79 204 | 100.00 1 | 99.99 10 | 98.79 37 | 98.28 214 | 100.00 1 | 93.63 178 | 99.95 106 | 99.66 105 | 99.95 97 | 100.00 1 |
|
DeepC-MVS | | 97.84 5 | 99.00 100 | 98.80 106 | 99.60 101 | 99.93 86 | 99.03 128 | 100.00 1 | 99.40 133 | 98.61 45 | 99.33 150 | 100.00 1 | 92.23 194 | 99.95 106 | 99.74 95 | 99.96 96 | 99.83 142 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
QAPM | | | 98.99 102 | 98.66 116 | 99.96 34 | 99.01 194 | 99.87 56 | 99.88 202 | 99.93 21 | 97.99 80 | 98.68 188 | 100.00 1 | 93.17 185 | 100.00 1 | 99.32 127 | 100.00 1 | 100.00 1 |
|
Vis-MVSNet (Re-imp) | | | 98.99 102 | 98.89 100 | 99.29 130 | 99.64 122 | 98.89 138 | 99.98 170 | 99.31 184 | 96.74 152 | 99.48 142 | 100.00 1 | 98.11 111 | 99.10 197 | 98.39 167 | 98.34 149 | 99.89 117 |
|
tpmrst | | | 98.98 104 | 98.93 95 | 99.14 140 | 99.61 127 | 97.74 205 | 99.52 260 | 99.36 161 | 96.05 185 | 99.98 79 | 99.64 202 | 99.04 72 | 99.86 129 | 98.94 141 | 98.19 159 | 99.82 146 |
|
test-mter | | | 98.96 105 | 98.82 103 | 99.40 120 | 99.40 167 | 99.28 109 | 100.00 1 | 99.45 79 | 95.44 209 | 99.42 145 | 99.12 234 | 99.70 9 | 99.01 202 | 96.82 214 | 99.99 85 | 99.91 105 |
|
CDS-MVSNet | | | 98.96 105 | 98.95 93 | 99.01 146 | 99.48 158 | 98.36 158 | 99.93 191 | 99.37 155 | 96.79 150 | 99.31 151 | 99.83 169 | 99.77 5 | 98.91 208 | 98.07 179 | 97.98 167 | 99.77 156 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
MVS_dtu | | | 98.94 107 | 98.69 115 | 99.70 92 | 99.96 79 | 99.27 111 | 100.00 1 | 99.40 133 | 98.93 25 | 100.00 1 | 100.00 1 | 91.74 201 | 100.00 1 | 98.50 163 | 99.67 113 | 99.83 142 |
|
MVSFormer | | | 98.94 107 | 98.82 103 | 99.28 131 | 99.45 159 | 99.49 92 | 100.00 1 | 99.13 240 | 95.46 207 | 99.97 83 | 100.00 1 | 96.76 136 | 98.59 245 | 98.63 157 | 100.00 1 | 99.74 163 |
|
MVS_Test | | | 98.93 109 | 98.65 118 | 99.77 88 | 99.62 125 | 99.50 89 | 99.99 154 | 99.19 222 | 95.52 202 | 99.96 86 | 99.86 164 | 96.54 142 | 99.98 82 | 98.65 155 | 98.48 136 | 99.82 146 |
|
1112_ss | | | 98.91 110 | 98.71 113 | 99.51 112 | 99.69 110 | 98.75 142 | 99.99 154 | 99.15 231 | 96.82 148 | 98.84 178 | 100.00 1 | 97.45 123 | 99.89 125 | 98.66 153 | 97.75 176 | 99.89 117 |
|
MSDG | | | 98.90 111 | 98.63 120 | 99.70 92 | 99.92 89 | 99.25 114 | 100.00 1 | 99.37 155 | 95.71 194 | 99.40 149 | 100.00 1 | 96.58 139 | 99.95 106 | 96.80 216 | 99.94 98 | 99.91 105 |
|
mvs-test1 | | | 98.89 112 | 98.99 87 | 98.60 167 | 99.77 102 | 95.96 242 | 100.00 1 | 98.94 278 | 97.61 113 | 99.93 110 | 99.92 157 | 95.89 149 | 99.93 119 | 99.36 122 | 99.50 117 | 99.90 112 |
|
DP-MVS | | | 98.86 113 | 98.54 127 | 99.81 77 | 99.97 74 | 99.45 98 | 99.52 260 | 99.40 133 | 94.35 228 | 98.36 208 | 100.00 1 | 96.13 147 | 99.97 86 | 99.12 136 | 100.00 1 | 100.00 1 |
|
CostFormer | | | 98.84 114 | 98.77 108 | 99.04 144 | 99.41 163 | 97.58 210 | 99.67 246 | 99.35 169 | 94.66 219 | 99.96 86 | 99.36 225 | 99.28 54 | 99.74 145 | 99.41 120 | 97.81 173 | 99.81 148 |
|
Test_1112_low_res | | | 98.83 115 | 98.60 123 | 99.51 112 | 99.69 110 | 98.75 142 | 99.99 154 | 99.14 235 | 96.81 149 | 98.84 178 | 99.06 238 | 97.45 123 | 99.89 125 | 98.66 153 | 97.75 176 | 99.89 117 |
|
BH-w/o | | | 98.82 116 | 98.81 105 | 98.88 155 | 99.62 125 | 96.71 236 | 100.00 1 | 99.28 196 | 97.09 139 | 98.81 180 | 100.00 1 | 94.91 167 | 99.96 101 | 99.54 113 | 100.00 1 | 99.96 90 |
|
mvs_anonymous | | | 98.80 117 | 98.60 123 | 99.38 123 | 99.57 138 | 99.24 116 | 100.00 1 | 99.21 219 | 95.87 188 | 98.92 171 | 99.82 172 | 96.39 145 | 99.03 200 | 99.13 135 | 98.50 134 | 99.88 129 |
|
TAMVS | | | 98.76 118 | 98.73 111 | 98.86 156 | 99.44 161 | 97.69 206 | 99.57 255 | 99.34 174 | 96.57 165 | 99.12 161 | 99.81 175 | 98.83 90 | 99.16 195 | 97.97 184 | 97.91 170 | 99.73 167 |
|
OpenMVS | | 95.20 17 | 98.76 118 | 98.41 132 | 99.78 86 | 98.89 208 | 99.81 63 | 99.99 154 | 99.76 36 | 98.02 78 | 98.02 225 | 100.00 1 | 91.44 213 | 100.00 1 | 99.63 107 | 99.97 94 | 99.55 176 |
|
dp | | | 98.72 120 | 98.61 122 | 99.03 145 | 99.53 144 | 97.39 214 | 99.45 264 | 99.39 148 | 95.62 197 | 99.94 105 | 99.52 217 | 98.83 90 | 99.82 137 | 96.77 218 | 98.42 141 | 99.89 117 |
|
tpmp4_e23 | | | 98.71 121 | 98.66 116 | 98.84 157 | 99.60 129 | 96.98 231 | 99.83 208 | 99.35 169 | 94.29 229 | 99.90 113 | 99.50 219 | 99.17 64 | 99.73 146 | 98.22 175 | 98.13 161 | 99.81 148 |
|
PVSNet_BlendedMVS | | | 98.71 121 | 98.62 121 | 98.98 149 | 99.98 69 | 99.60 85 | 100.00 1 | 100.00 1 | 97.23 134 | 100.00 1 | 99.03 248 | 96.57 140 | 99.99 69 | 100.00 1 | 94.75 216 | 97.35 280 |
|
ADS-MVSNet | | | 98.70 123 | 98.51 129 | 99.28 131 | 99.51 152 | 98.39 154 | 99.24 280 | 99.44 87 | 95.52 202 | 99.96 86 | 99.70 187 | 97.57 121 | 99.58 156 | 97.11 206 | 98.54 132 | 99.88 129 |
|
PCF-MVS | | 98.23 3 | 98.69 124 | 98.37 135 | 99.62 97 | 99.78 100 | 99.02 129 | 99.23 286 | 99.06 269 | 96.43 172 | 98.08 220 | 100.00 1 | 94.72 169 | 99.95 106 | 98.16 177 | 99.91 100 | 99.90 112 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
tpm2 | | | 98.64 125 | 98.58 125 | 98.81 160 | 99.42 162 | 97.12 226 | 99.69 244 | 99.37 155 | 93.63 250 | 99.94 105 | 99.67 195 | 98.96 80 | 99.47 180 | 98.62 159 | 97.95 168 | 99.83 142 |
|
BH-untuned | | | 98.64 125 | 98.65 118 | 98.60 167 | 99.59 132 | 96.17 241 | 100.00 1 | 99.28 196 | 96.67 160 | 98.41 207 | 100.00 1 | 94.52 171 | 99.83 135 | 99.41 120 | 100.00 1 | 99.81 148 |
|
tpmvs | | | 98.59 127 | 98.38 134 | 99.23 135 | 99.69 110 | 97.90 197 | 99.31 275 | 99.47 65 | 94.52 223 | 99.68 135 | 99.28 230 | 97.64 119 | 99.89 125 | 97.71 189 | 98.17 160 | 99.89 117 |
|
Effi-MVS+ | | | 98.58 128 | 98.24 139 | 99.61 98 | 99.60 129 | 99.26 112 | 97.85 317 | 99.10 248 | 96.22 182 | 99.97 83 | 99.89 160 | 93.75 176 | 99.77 142 | 99.43 118 | 98.34 149 | 99.81 148 |
|
MVSTER | | | 98.58 128 | 98.52 128 | 98.77 161 | 99.65 118 | 99.68 80 | 100.00 1 | 99.29 190 | 95.63 196 | 98.65 190 | 99.80 178 | 99.78 4 | 98.88 214 | 98.59 160 | 95.31 200 | 97.73 230 |
|
CVMVSNet | | | 98.56 130 | 98.47 131 | 98.82 158 | 99.11 182 | 97.67 207 | 99.74 230 | 99.47 65 | 97.57 118 | 99.06 166 | 100.00 1 | 95.72 155 | 98.97 205 | 98.21 176 | 97.33 183 | 99.83 142 |
|
AllTest | | | 98.55 131 | 98.40 133 | 98.99 147 | 99.93 86 | 97.35 217 | 100.00 1 | 99.40 133 | 97.08 141 | 99.09 162 | 99.98 132 | 93.37 180 | 99.95 106 | 96.94 209 | 99.84 107 | 99.68 170 |
|
DeepPCF-MVS | | 98.03 4 | 98.54 132 | 99.72 15 | 94.98 281 | 99.99 43 | 84.94 306 | 100.00 1 | 99.42 102 | 99.98 1 | 100.00 1 | 100.00 1 | 98.11 111 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
EPNet_dtu | | | 98.53 133 | 98.23 141 | 99.43 118 | 99.92 89 | 99.01 132 | 99.96 179 | 99.47 65 | 98.80 36 | 99.96 86 | 99.96 149 | 98.56 102 | 99.30 192 | 87.78 297 | 99.68 112 | 100.00 1 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
diffmvs | | | 98.52 134 | 98.11 144 | 99.73 91 | 99.59 132 | 99.47 97 | 100.00 1 | 99.19 222 | 93.68 247 | 99.70 134 | 99.75 181 | 95.07 163 | 99.84 133 | 97.57 193 | 98.48 136 | 99.89 117 |
|
Vis-MVSNet | | | 98.52 134 | 98.25 138 | 99.34 126 | 99.68 113 | 98.55 149 | 99.68 245 | 99.41 131 | 97.34 131 | 99.94 105 | 100.00 1 | 90.38 232 | 99.70 150 | 99.03 139 | 98.84 127 | 99.76 158 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
Effi-MVS+-dtu | | | 98.51 136 | 98.86 101 | 97.47 230 | 99.77 102 | 94.21 275 | 100.00 1 | 98.94 278 | 97.61 113 | 99.91 112 | 98.75 268 | 95.89 149 | 99.51 176 | 99.36 122 | 99.48 118 | 98.68 184 |
|
BH-RMVSNet | | | 98.46 137 | 98.08 146 | 99.59 104 | 99.61 127 | 99.19 120 | 100.00 1 | 99.28 196 | 97.06 143 | 98.95 170 | 100.00 1 | 88.99 250 | 99.82 137 | 98.83 147 | 100.00 1 | 99.77 156 |
|
cascas | | | 98.43 138 | 98.07 147 | 99.50 114 | 99.65 118 | 99.02 129 | 100.00 1 | 99.22 215 | 94.21 232 | 99.72 132 | 99.98 132 | 92.03 197 | 99.93 119 | 99.68 101 | 98.12 162 | 99.54 177 |
|
ab-mvs | | | 98.42 139 | 98.02 150 | 99.61 98 | 99.71 108 | 99.00 133 | 99.10 299 | 99.64 53 | 96.70 156 | 99.04 167 | 99.81 175 | 90.64 227 | 99.98 82 | 99.64 106 | 97.93 169 | 99.84 139 |
|
UGNet | | | 98.41 140 | 98.11 144 | 99.31 129 | 99.54 141 | 98.55 149 | 99.18 289 | 100.00 1 | 98.64 44 | 99.79 126 | 99.04 243 | 87.61 261 | 100.00 1 | 99.30 128 | 99.89 102 | 99.40 180 |
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+ | | | 98.40 141 | 98.02 150 | 99.55 111 | 99.63 123 | 99.06 126 | 100.00 1 | 99.15 231 | 95.07 211 | 99.42 145 | 99.95 150 | 93.26 183 | 99.73 146 | 97.44 198 | 98.24 155 | 99.87 136 |
|
Fast-Effi-MVS+-dtu | | | 98.38 142 | 98.56 126 | 97.82 219 | 99.58 136 | 94.44 272 | 100.00 1 | 99.16 230 | 96.75 151 | 99.51 140 | 99.63 206 | 95.03 165 | 99.60 152 | 97.71 189 | 99.67 113 | 99.42 179 |
|
XVG-OURS | | | 98.30 143 | 98.36 136 | 98.13 200 | 99.58 136 | 95.91 245 | 100.00 1 | 99.36 161 | 98.69 39 | 99.23 154 | 100.00 1 | 91.20 217 | 99.92 122 | 99.34 124 | 97.82 172 | 98.56 188 |
|
COLMAP_ROB | | 97.10 7 | 98.29 144 | 98.17 143 | 98.65 165 | 99.94 84 | 97.39 214 | 99.30 276 | 99.40 133 | 95.64 195 | 97.75 236 | 100.00 1 | 92.69 191 | 99.95 106 | 98.89 143 | 99.92 99 | 98.62 187 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
ADS-MVSNet2 | | | 98.28 145 | 98.51 129 | 97.62 223 | 99.51 152 | 95.03 252 | 99.24 280 | 99.41 131 | 95.52 202 | 99.96 86 | 99.70 187 | 97.57 121 | 97.94 280 | 97.11 206 | 98.54 132 | 99.88 129 |
|
XVG-OURS-SEG-HR | | | 98.27 146 | 98.31 137 | 98.14 197 | 99.59 132 | 95.92 244 | 100.00 1 | 99.36 161 | 98.48 48 | 99.21 155 | 100.00 1 | 89.27 247 | 99.94 117 | 99.76 93 | 99.17 119 | 98.56 188 |
|
tpm | | | 98.24 147 | 98.22 142 | 98.32 180 | 99.13 181 | 95.79 246 | 99.53 259 | 99.12 246 | 95.20 210 | 99.96 86 | 99.36 225 | 97.58 120 | 99.28 193 | 97.41 200 | 96.67 189 | 99.88 129 |
|
Patchmatch-test1 | | | 98.23 148 | 97.91 153 | 99.17 138 | 99.41 163 | 98.25 171 | 99.99 154 | 99.45 79 | 96.91 147 | 99.76 129 | 99.69 189 | 89.65 242 | 99.37 188 | 97.55 194 | 98.79 128 | 99.89 117 |
|
TR-MVS | | | 98.14 149 | 97.74 157 | 99.33 127 | 99.59 132 | 98.28 165 | 99.27 277 | 99.21 219 | 96.42 174 | 99.15 160 | 99.94 154 | 88.87 252 | 99.79 141 | 98.88 144 | 98.29 152 | 99.93 102 |
|
test0.0.03 1 | | | 98.12 150 | 98.03 149 | 98.39 174 | 99.11 182 | 98.07 187 | 100.00 1 | 99.93 21 | 96.70 156 | 96.91 257 | 99.95 150 | 99.31 44 | 98.19 263 | 91.93 272 | 98.44 139 | 98.91 182 |
|
tpm cat1 | | | 98.05 151 | 97.76 156 | 98.92 153 | 99.50 155 | 97.10 228 | 99.77 224 | 99.30 186 | 90.20 283 | 99.72 132 | 98.71 270 | 97.71 117 | 99.86 129 | 96.75 219 | 98.20 158 | 99.81 148 |
|
PS-MVSNAJss | | | 98.03 152 | 98.06 148 | 97.94 214 | 97.63 272 | 97.33 220 | 99.89 199 | 99.23 213 | 96.27 181 | 98.03 223 | 99.59 210 | 98.75 95 | 98.78 223 | 98.52 162 | 94.61 220 | 97.70 243 |
|
CR-MVSNet | | | 98.02 153 | 97.71 160 | 98.93 151 | 99.31 174 | 98.86 139 | 99.13 297 | 99.00 276 | 96.53 168 | 99.96 86 | 98.98 254 | 96.94 133 | 98.10 272 | 91.18 275 | 98.40 142 | 99.84 139 |
|
EI-MVSNet | | | 97.98 154 | 97.93 152 | 98.16 196 | 99.11 182 | 97.84 203 | 99.74 230 | 99.29 190 | 94.39 227 | 98.65 190 | 100.00 1 | 97.21 126 | 98.88 214 | 97.62 192 | 95.31 200 | 97.75 198 |
|
FIs | | | 97.95 155 | 97.73 159 | 98.62 166 | 98.53 221 | 99.24 116 | 100.00 1 | 99.43 96 | 96.74 152 | 97.87 231 | 99.82 172 | 95.27 160 | 98.89 211 | 98.78 148 | 93.07 231 | 97.74 220 |
|
FC-MVSNet-test | | | 97.84 156 | 97.63 161 | 98.45 171 | 98.30 230 | 99.05 127 | 100.00 1 | 99.43 96 | 96.63 163 | 97.61 240 | 99.82 172 | 95.19 162 | 98.57 248 | 98.64 156 | 93.05 232 | 97.73 230 |
|
Patchmatch-test | | | 97.83 157 | 97.42 163 | 99.06 141 | 99.08 185 | 97.66 208 | 98.66 310 | 99.21 219 | 93.65 249 | 98.25 217 | 99.58 211 | 99.47 29 | 99.57 157 | 90.25 286 | 98.59 131 | 99.95 94 |
|
HQP-MVS | | | 97.73 158 | 97.85 154 | 97.39 232 | 99.07 186 | 94.82 256 | 100.00 1 | 99.40 133 | 99.04 13 | 99.17 156 | 99.97 140 | 88.61 254 | 99.57 157 | 99.79 87 | 95.58 191 | 97.77 192 |
|
GA-MVS | | | 97.72 159 | 97.27 168 | 99.06 141 | 99.24 179 | 97.93 196 | 100.00 1 | 99.24 210 | 95.80 193 | 98.99 169 | 99.64 202 | 89.77 240 | 99.36 189 | 95.12 239 | 97.62 180 | 99.89 117 |
|
HQP_MVS | | | 97.71 160 | 97.82 155 | 97.37 233 | 99.00 198 | 94.80 259 | 100.00 1 | 99.40 133 | 99.00 19 | 99.08 164 | 99.97 140 | 88.58 256 | 99.55 166 | 99.79 87 | 95.57 195 | 97.76 194 |
|
nrg030 | | | 97.64 161 | 97.27 168 | 98.75 162 | 98.34 226 | 99.53 88 | 100.00 1 | 99.22 215 | 96.21 183 | 98.27 215 | 99.95 150 | 94.40 172 | 98.98 204 | 99.23 131 | 89.78 268 | 97.75 198 |
|
TAPA-MVS | | 96.40 10 | 97.64 161 | 97.37 166 | 98.45 171 | 99.94 84 | 95.70 247 | 100.00 1 | 99.40 133 | 97.65 109 | 99.53 139 | 100.00 1 | 99.31 44 | 99.66 151 | 80.48 309 | 100.00 1 | 100.00 1 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
CLD-MVS | | | 97.64 161 | 97.74 157 | 97.36 234 | 99.01 194 | 94.76 264 | 100.00 1 | 99.34 174 | 99.30 4 | 99.00 168 | 99.97 140 | 87.49 262 | 99.57 157 | 99.96 62 | 95.58 191 | 97.75 198 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
IterMVS-LS | | | 97.56 164 | 97.44 162 | 97.92 217 | 99.38 171 | 97.90 197 | 99.89 199 | 99.10 248 | 94.41 226 | 98.32 211 | 99.54 216 | 97.21 126 | 98.11 269 | 97.50 197 | 91.62 244 | 97.75 198 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
test_djsdf | | | 97.55 165 | 97.38 165 | 98.07 204 | 97.50 278 | 97.99 191 | 100.00 1 | 99.13 240 | 95.46 207 | 98.47 205 | 99.85 166 | 92.01 199 | 98.59 245 | 98.63 157 | 95.36 198 | 97.62 266 |
|
IB-MVS | | 96.24 12 | 97.54 166 | 96.95 173 | 99.33 127 | 99.67 114 | 98.10 185 | 100.00 1 | 99.47 65 | 97.42 126 | 99.26 153 | 99.69 189 | 98.83 90 | 99.89 125 | 99.43 118 | 78.77 308 | 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 | | | 97.42 167 | 96.62 185 | 99.81 77 | 99.80 98 | 99.50 89 | 99.16 295 | 99.56 55 | 94.48 225 | 100.00 1 | 100.00 1 | 79.35 306 | 100.00 1 | 99.89 74 | 97.37 182 | 99.94 97 |
|
RPSCF | | | 97.37 168 | 98.24 139 | 94.76 283 | 99.80 98 | 84.57 307 | 99.99 154 | 99.05 271 | 94.95 214 | 99.82 124 | 100.00 1 | 94.03 174 | 100.00 1 | 98.15 178 | 98.38 147 | 99.70 168 |
|
ACMM | | 97.17 6 | 97.37 168 | 97.40 164 | 97.29 236 | 99.01 194 | 94.64 268 | 100.00 1 | 99.25 207 | 98.07 75 | 98.44 206 | 99.98 132 | 87.38 263 | 99.55 166 | 99.25 130 | 95.19 207 | 97.69 248 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
LPG-MVS_test | | | 97.31 170 | 97.32 167 | 97.28 237 | 98.85 213 | 94.60 269 | 100.00 1 | 99.37 155 | 97.35 129 | 98.85 176 | 99.98 132 | 86.66 269 | 99.56 161 | 99.55 110 | 95.26 202 | 97.70 243 |
|
FMVSNet3 | | | 97.30 171 | 96.95 173 | 98.37 176 | 99.65 118 | 99.25 114 | 99.71 238 | 99.28 196 | 94.23 230 | 98.53 200 | 98.91 261 | 93.30 182 | 98.11 269 | 95.31 235 | 93.60 225 | 97.73 230 |
|
UniMVSNet (Re) | | | 97.29 172 | 96.85 177 | 98.59 169 | 98.49 222 | 99.13 123 | 100.00 1 | 99.42 102 | 96.52 169 | 98.24 218 | 98.90 262 | 94.93 166 | 98.89 211 | 97.54 196 | 87.61 286 | 97.75 198 |
|
OPM-MVS | | | 97.21 173 | 97.18 171 | 97.32 235 | 98.08 250 | 94.66 266 | 100.00 1 | 99.28 196 | 98.65 43 | 98.92 171 | 99.98 132 | 86.03 275 | 99.56 161 | 98.28 173 | 95.41 197 | 97.72 235 |
|
ACMP | | 97.00 8 | 97.19 174 | 97.16 172 | 97.27 239 | 98.97 203 | 94.58 271 | 100.00 1 | 99.32 179 | 97.97 84 | 97.45 244 | 99.98 132 | 85.79 277 | 99.56 161 | 99.70 99 | 95.24 205 | 97.67 254 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
pmmvs4 | | | 97.17 175 | 96.80 178 | 98.27 184 | 97.68 269 | 98.64 146 | 100.00 1 | 99.18 226 | 94.22 231 | 98.55 198 | 99.71 185 | 93.67 177 | 98.47 255 | 95.66 229 | 92.57 236 | 97.71 242 |
|
anonymousdsp | | | 97.16 176 | 96.88 175 | 98.00 210 | 97.08 289 | 98.06 188 | 99.81 215 | 99.15 231 | 94.58 221 | 97.84 232 | 99.62 208 | 90.49 229 | 98.60 243 | 97.98 181 | 95.32 199 | 97.33 282 |
|
UniMVSNet_NR-MVSNet | | | 97.16 176 | 96.80 178 | 98.22 191 | 98.38 225 | 98.41 152 | 100.00 1 | 99.45 79 | 96.14 184 | 97.76 233 | 99.64 202 | 95.05 164 | 98.50 252 | 97.98 181 | 86.84 289 | 97.75 198 |
|
XXY-MVS | | | 97.14 178 | 96.63 184 | 98.67 164 | 98.65 216 | 98.92 137 | 99.54 258 | 99.29 190 | 95.57 199 | 97.63 238 | 99.83 169 | 87.79 260 | 99.35 190 | 98.39 167 | 92.95 233 | 97.75 198 |
|
WR-MVS | | | 97.09 179 | 96.64 183 | 98.46 170 | 98.43 223 | 99.09 124 | 99.97 176 | 99.33 176 | 95.62 197 | 97.76 233 | 99.67 195 | 91.17 218 | 98.56 249 | 98.49 164 | 89.28 272 | 97.74 220 |
|
JIA-IIPM | | | 97.09 179 | 96.34 194 | 99.36 124 | 98.88 209 | 98.59 147 | 99.81 215 | 99.43 96 | 84.81 308 | 99.96 86 | 90.34 320 | 98.55 103 | 99.52 174 | 97.00 208 | 98.28 154 | 99.98 87 |
|
jajsoiax | | | 97.07 181 | 96.79 180 | 97.89 218 | 97.28 287 | 97.12 226 | 99.95 185 | 99.19 222 | 96.55 166 | 97.31 247 | 99.69 189 | 87.35 265 | 98.91 208 | 98.70 152 | 95.12 211 | 97.66 256 |
|
MIMVSNet | | | 97.06 182 | 96.73 181 | 98.05 208 | 99.38 171 | 96.64 238 | 98.47 313 | 99.35 169 | 93.41 255 | 99.48 142 | 98.53 277 | 89.66 241 | 97.70 284 | 94.16 253 | 98.11 163 | 99.80 155 |
|
X-MVStestdata | | | 97.04 183 | 96.06 210 | 99.98 15 | 100.00 1 | 99.94 25 | 100.00 1 | 99.75 40 | 98.67 41 | 100.00 1 | 66.97 333 | 99.16 65 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
VPA-MVSNet | | | 97.03 184 | 96.43 192 | 98.82 158 | 98.64 217 | 99.32 106 | 99.38 270 | 99.47 65 | 96.73 154 | 98.91 173 | 98.94 259 | 87.00 267 | 99.40 186 | 99.23 131 | 89.59 269 | 97.76 194 |
|
testpf | | | 97.02 185 | 96.87 176 | 97.44 231 | 99.50 155 | 95.18 250 | 95.70 322 | 99.33 176 | 91.35 275 | 98.00 227 | 99.22 232 | 96.29 146 | 98.49 254 | 94.42 248 | 98.07 165 | 98.67 185 |
|
mvs_tets | | | 97.00 186 | 96.69 182 | 97.94 214 | 97.41 286 | 97.27 221 | 99.60 253 | 99.18 226 | 96.51 170 | 97.35 246 | 99.69 189 | 86.53 271 | 98.91 208 | 98.84 145 | 95.09 212 | 97.65 260 |
|
gg-mvs-nofinetune | | | 96.95 187 | 96.10 208 | 99.50 114 | 99.41 163 | 99.36 105 | 99.07 303 | 99.52 57 | 83.69 311 | 99.96 86 | 83.60 328 | 100.00 1 | 99.20 194 | 99.68 101 | 99.99 85 | 99.96 90 |
|
DU-MVS | | | 96.93 188 | 96.49 189 | 98.22 191 | 98.31 228 | 98.41 152 | 100.00 1 | 99.37 155 | 96.41 175 | 97.76 233 | 99.65 198 | 92.14 195 | 98.50 252 | 97.98 181 | 86.84 289 | 97.75 198 |
|
Patchmtry | | | 96.81 189 | 96.37 193 | 98.14 197 | 99.31 174 | 98.55 149 | 98.91 306 | 99.00 276 | 90.45 280 | 97.92 229 | 98.98 254 | 96.94 133 | 98.12 267 | 94.27 251 | 91.53 245 | 97.75 198 |
|
v1neww | | | 96.77 190 | 96.27 197 | 98.26 186 | 98.16 240 | 98.23 172 | 100.00 1 | 99.09 251 | 93.94 237 | 98.73 185 | 99.05 240 | 91.65 203 | 98.82 219 | 95.75 225 | 90.04 259 | 97.74 220 |
|
v7new | | | 96.77 190 | 96.27 197 | 98.26 186 | 98.16 240 | 98.23 172 | 100.00 1 | 99.09 251 | 93.94 237 | 98.73 185 | 99.05 240 | 91.65 203 | 98.82 219 | 95.75 225 | 90.04 259 | 97.74 220 |
|
v6 | | | 96.77 190 | 96.26 199 | 98.29 182 | 98.10 246 | 98.27 167 | 100.00 1 | 99.09 251 | 93.95 236 | 98.73 185 | 99.06 238 | 91.51 210 | 98.86 216 | 95.83 223 | 90.04 259 | 97.74 220 |
|
ACMH | | 96.25 11 | 96.77 190 | 96.62 185 | 97.21 240 | 98.96 204 | 94.43 273 | 99.64 250 | 99.33 176 | 97.43 125 | 96.55 262 | 99.97 140 | 83.52 288 | 99.54 169 | 99.07 138 | 95.13 210 | 97.66 256 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
IterMVS | | | 96.76 194 | 96.46 191 | 97.63 221 | 99.41 163 | 96.89 232 | 99.99 154 | 99.13 240 | 94.74 218 | 97.59 241 | 99.66 197 | 89.63 244 | 98.28 262 | 95.71 227 | 92.31 238 | 97.72 235 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
CP-MVSNet | | | 96.73 195 | 96.25 200 | 98.18 194 | 98.21 235 | 98.67 145 | 99.77 224 | 99.32 179 | 95.06 212 | 97.20 251 | 99.65 198 | 90.10 234 | 98.19 263 | 98.06 180 | 88.90 276 | 97.66 256 |
|
WR-MVS_H | | | 96.73 195 | 96.32 196 | 97.95 213 | 98.26 232 | 97.88 199 | 99.72 236 | 99.43 96 | 95.06 212 | 96.99 254 | 98.68 271 | 93.02 187 | 98.53 250 | 97.43 199 | 88.33 282 | 97.43 277 |
|
v2v482 | | | 96.70 197 | 96.18 201 | 98.27 184 | 98.04 255 | 98.39 154 | 100.00 1 | 99.13 240 | 94.19 233 | 98.58 197 | 99.08 237 | 90.48 230 | 98.67 238 | 95.69 228 | 90.44 257 | 97.75 198 |
|
divwei89l23v2f112 | | | 96.68 198 | 96.15 204 | 98.25 190 | 98.03 256 | 98.27 167 | 100.00 1 | 99.09 251 | 93.79 240 | 98.59 195 | 99.04 243 | 91.54 209 | 98.73 230 | 95.29 238 | 89.99 263 | 97.75 198 |
|
v1141 | | | 96.66 199 | 96.12 206 | 98.26 186 | 98.05 253 | 98.28 165 | 100.00 1 | 99.09 251 | 93.71 241 | 98.59 195 | 99.04 243 | 91.57 207 | 98.73 230 | 95.05 240 | 90.00 262 | 97.75 198 |
|
v1 | | | 96.66 199 | 96.12 206 | 98.30 181 | 98.09 247 | 98.33 160 | 100.00 1 | 99.09 251 | 93.69 246 | 98.68 188 | 99.04 243 | 91.42 214 | 98.83 218 | 95.05 240 | 89.99 263 | 97.75 198 |
|
V42 | | | 96.65 201 | 96.16 203 | 98.11 203 | 98.17 239 | 98.23 172 | 99.99 154 | 99.09 251 | 93.97 234 | 98.74 184 | 99.05 240 | 91.09 223 | 98.82 219 | 95.46 233 | 89.90 266 | 97.27 283 |
|
v7 | | | 96.64 202 | 96.14 205 | 98.13 200 | 98.18 237 | 97.97 193 | 99.99 154 | 99.09 251 | 93.62 251 | 98.76 182 | 99.30 228 | 91.13 220 | 98.70 235 | 94.37 249 | 90.80 252 | 97.74 220 |
|
EU-MVSNet | | | 96.63 203 | 96.53 187 | 96.94 248 | 97.59 274 | 96.87 233 | 99.76 227 | 99.47 65 | 96.35 178 | 96.85 259 | 99.78 179 | 92.57 192 | 96.27 302 | 95.33 234 | 91.08 249 | 97.68 250 |
|
NR-MVSNet | | | 96.63 203 | 96.04 211 | 98.38 175 | 98.31 228 | 98.98 134 | 99.22 288 | 99.35 169 | 95.87 188 | 94.43 278 | 99.65 198 | 92.73 190 | 98.40 258 | 96.78 217 | 88.05 283 | 97.75 198 |
|
XVG-ACMP-BASELINE | | | 96.60 205 | 96.52 188 | 96.84 259 | 98.41 224 | 93.29 283 | 99.99 154 | 99.32 179 | 97.76 101 | 98.51 203 | 99.29 229 | 81.95 294 | 99.54 169 | 98.40 166 | 95.03 213 | 97.68 250 |
|
VDD-MVS | | | 96.58 206 | 95.99 213 | 98.34 178 | 99.52 149 | 95.33 248 | 99.18 289 | 99.38 152 | 96.64 161 | 99.77 127 | 100.00 1 | 72.51 317 | 100.00 1 | 100.00 1 | 96.94 187 | 99.70 168 |
|
LCM-MVSNet-Re | | | 96.52 207 | 97.21 170 | 94.44 284 | 99.27 177 | 85.80 305 | 99.85 206 | 96.61 323 | 95.98 186 | 92.75 286 | 98.48 278 | 93.97 175 | 97.55 285 | 99.58 108 | 98.43 140 | 99.98 87 |
|
MVP-Stereo | | | 96.51 208 | 96.48 190 | 96.60 267 | 95.65 299 | 94.25 274 | 98.84 308 | 98.16 300 | 95.85 192 | 95.23 272 | 99.04 243 | 92.54 193 | 99.13 196 | 92.98 265 | 99.98 91 | 96.43 292 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
v1144 | | | 96.51 208 | 95.97 215 | 98.13 200 | 97.98 260 | 98.04 190 | 99.99 154 | 99.08 259 | 93.51 254 | 98.62 193 | 98.98 254 | 90.98 226 | 98.62 240 | 93.79 258 | 90.79 253 | 97.74 220 |
|
ACMH+ | | 96.20 13 | 96.49 210 | 96.33 195 | 97.00 245 | 99.06 190 | 93.80 278 | 99.81 215 | 99.31 184 | 97.32 132 | 95.89 269 | 99.97 140 | 82.62 292 | 99.54 169 | 98.34 170 | 94.63 219 | 97.65 260 |
|
TranMVSNet+NR-MVSNet | | | 96.45 211 | 96.01 212 | 97.79 220 | 98.00 259 | 97.62 209 | 100.00 1 | 99.35 169 | 95.98 186 | 97.31 247 | 99.64 202 | 90.09 235 | 98.00 279 | 96.89 212 | 86.80 292 | 97.75 198 |
|
VPNet | | | 96.41 212 | 95.76 223 | 98.33 179 | 98.61 218 | 98.30 164 | 99.48 263 | 99.45 79 | 96.98 144 | 98.87 175 | 99.88 161 | 81.57 296 | 98.93 206 | 99.22 133 | 87.82 285 | 97.76 194 |
|
PVSNet_0 | | 93.57 19 | 96.41 212 | 95.74 224 | 98.41 173 | 99.84 93 | 95.22 249 | 100.00 1 | 100.00 1 | 98.08 74 | 97.55 242 | 99.78 179 | 84.40 282 | 100.00 1 | 100.00 1 | 81.99 300 | 100.00 1 |
|
v144192 | | | 96.40 214 | 95.81 219 | 98.17 195 | 97.89 264 | 98.11 184 | 99.99 154 | 99.06 269 | 93.39 256 | 98.75 183 | 99.09 236 | 90.43 231 | 98.66 239 | 93.10 264 | 90.55 256 | 97.75 198 |
|
VDDNet | | | 96.39 215 | 95.55 230 | 98.90 154 | 99.27 177 | 97.45 211 | 99.15 296 | 99.92 25 | 91.28 276 | 99.98 79 | 100.00 1 | 73.55 315 | 100.00 1 | 99.85 79 | 96.98 186 | 99.24 181 |
|
v8 | | | 96.35 216 | 95.73 225 | 98.21 193 | 98.11 245 | 98.23 172 | 99.94 189 | 99.07 261 | 92.66 265 | 98.29 213 | 99.00 253 | 91.46 212 | 98.77 226 | 94.17 252 | 88.83 278 | 97.62 266 |
|
PS-CasMVS | | | 96.34 217 | 95.78 222 | 98.03 209 | 98.18 237 | 98.27 167 | 99.71 238 | 99.32 179 | 94.75 216 | 96.82 260 | 99.65 198 | 86.98 268 | 98.15 265 | 97.74 188 | 88.85 277 | 97.66 256 |
|
LTVRE_ROB | | 95.29 16 | 96.32 218 | 96.10 208 | 96.99 246 | 98.55 220 | 93.88 277 | 99.45 264 | 99.28 196 | 94.50 224 | 96.46 263 | 99.52 217 | 84.86 280 | 99.48 179 | 97.26 203 | 95.03 213 | 97.59 270 |
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 |
v148 | | | 96.29 219 | 95.84 218 | 97.63 221 | 97.74 267 | 96.53 239 | 100.00 1 | 99.07 261 | 93.52 253 | 98.01 226 | 99.42 224 | 91.22 216 | 98.60 243 | 96.37 221 | 87.22 288 | 97.75 198 |
|
DI_MVS_plusplus_test | | | 96.28 220 | 95.16 243 | 99.61 98 | 96.01 296 | 99.18 121 | 100.00 1 | 99.29 190 | 96.49 171 | 89.08 293 | 98.42 282 | 80.06 301 | 99.90 123 | 98.74 151 | 98.39 144 | 99.75 159 |
|
test_normal | | | 96.24 221 | 95.12 245 | 99.60 101 | 96.00 297 | 99.16 122 | 100.00 1 | 99.29 190 | 96.43 172 | 88.96 296 | 98.40 283 | 80.06 301 | 99.90 123 | 98.53 161 | 98.39 144 | 99.75 159 |
|
FMVSNet2 | | | 96.22 222 | 95.60 229 | 98.06 207 | 99.53 144 | 98.33 160 | 99.45 264 | 99.27 203 | 93.71 241 | 98.03 223 | 98.84 264 | 84.23 284 | 98.10 272 | 93.97 256 | 93.40 228 | 97.73 230 |
|
LF4IMVS | | | 96.19 223 | 96.18 201 | 96.23 273 | 98.26 232 | 92.09 292 | 100.00 1 | 97.89 310 | 97.82 96 | 97.94 228 | 99.87 162 | 82.71 291 | 99.38 187 | 97.41 200 | 93.71 224 | 97.20 284 |
|
v1192 | | | 96.18 224 | 95.49 233 | 98.26 186 | 98.01 257 | 98.15 182 | 99.99 154 | 99.08 259 | 93.36 257 | 98.54 199 | 98.97 257 | 89.47 245 | 98.89 211 | 91.15 276 | 90.82 251 | 97.75 198 |
|
testgi | | | 96.18 224 | 95.93 216 | 96.93 249 | 98.98 202 | 94.20 276 | 100.00 1 | 99.07 261 | 97.16 137 | 96.06 266 | 99.86 164 | 84.08 287 | 97.79 282 | 90.38 283 | 97.80 174 | 98.81 183 |
|
v1921920 | | | 96.16 226 | 95.50 231 | 98.14 197 | 97.88 265 | 97.96 194 | 99.99 154 | 99.07 261 | 93.33 258 | 98.60 194 | 99.24 231 | 89.37 246 | 98.71 234 | 91.28 274 | 90.74 254 | 97.75 198 |
|
Baseline_NR-MVSNet | | | 96.16 226 | 95.70 226 | 97.56 226 | 98.28 231 | 96.79 235 | 100.00 1 | 97.86 311 | 91.93 271 | 97.63 238 | 99.47 222 | 92.14 195 | 98.35 260 | 97.13 205 | 86.83 291 | 97.54 273 |
|
v10 | | | 96.14 228 | 95.50 231 | 98.07 204 | 98.19 236 | 97.96 194 | 99.83 208 | 99.07 261 | 92.10 269 | 98.07 222 | 98.94 259 | 91.07 224 | 98.61 241 | 92.41 271 | 89.82 267 | 97.63 264 |
|
OurMVSNet-221017-0 | | | 96.14 228 | 95.98 214 | 96.62 266 | 97.49 280 | 93.44 281 | 99.92 193 | 98.16 300 | 95.86 190 | 97.65 237 | 99.95 150 | 85.71 278 | 98.78 223 | 94.93 243 | 94.18 223 | 97.64 263 |
|
GBi-Net | | | 96.07 230 | 95.80 220 | 96.89 251 | 99.53 144 | 94.87 253 | 99.18 289 | 99.27 203 | 93.71 241 | 98.53 200 | 98.81 265 | 84.23 284 | 98.07 275 | 95.31 235 | 93.60 225 | 97.72 235 |
|
test1 | | | 96.07 230 | 95.80 220 | 96.89 251 | 99.53 144 | 94.87 253 | 99.18 289 | 99.27 203 | 93.71 241 | 98.53 200 | 98.81 265 | 84.23 284 | 98.07 275 | 95.31 235 | 93.60 225 | 97.72 235 |
|
v7n | | | 96.06 232 | 95.42 237 | 97.99 212 | 97.58 275 | 97.35 217 | 99.86 205 | 99.11 247 | 92.81 264 | 97.91 230 | 99.49 220 | 90.99 225 | 98.92 207 | 92.51 268 | 88.49 281 | 97.70 243 |
|
PEN-MVS | | | 96.01 233 | 95.48 235 | 97.58 225 | 97.74 267 | 97.26 222 | 99.90 196 | 99.29 190 | 94.55 222 | 96.79 261 | 99.55 214 | 87.38 263 | 97.84 281 | 96.92 211 | 87.24 287 | 97.65 260 |
|
v1240 | | | 95.96 234 | 95.25 241 | 98.07 204 | 97.91 263 | 97.87 201 | 99.96 179 | 99.07 261 | 93.24 260 | 98.64 192 | 98.96 258 | 88.98 251 | 98.61 241 | 89.58 289 | 90.92 250 | 97.75 198 |
|
pmmvs5 | | | 95.94 235 | 95.61 228 | 96.95 247 | 97.42 284 | 94.66 266 | 100.00 1 | 98.08 304 | 93.60 252 | 97.05 253 | 99.43 223 | 87.02 266 | 98.46 256 | 95.76 224 | 92.12 239 | 97.72 235 |
|
PatchT | | | 95.90 236 | 94.95 249 | 98.75 162 | 99.03 192 | 98.39 154 | 99.08 301 | 99.32 179 | 85.52 304 | 99.96 86 | 94.99 313 | 97.94 113 | 98.05 278 | 80.20 310 | 98.47 138 | 99.81 148 |
|
USDC | | | 95.90 236 | 95.70 226 | 96.50 268 | 98.60 219 | 92.56 290 | 100.00 1 | 98.30 296 | 97.77 99 | 96.92 255 | 99.94 154 | 81.25 300 | 99.45 182 | 93.54 262 | 94.96 215 | 97.49 274 |
|
V4 | | | 95.89 238 | 95.36 238 | 97.49 228 | 97.65 271 | 97.40 213 | 99.88 202 | 99.07 261 | 92.19 267 | 98.08 220 | 99.01 251 | 90.20 233 | 98.72 232 | 93.57 261 | 88.63 279 | 96.34 293 |
|
LP | | | 95.89 238 | 95.35 239 | 97.51 227 | 98.92 206 | 95.15 251 | 98.66 310 | 99.39 148 | 89.43 294 | 97.22 250 | 99.03 248 | 94.37 173 | 97.74 283 | 83.71 304 | 97.44 181 | 99.63 175 |
|
v52 | | | 95.88 240 | 95.35 239 | 97.48 229 | 97.66 270 | 97.38 216 | 99.88 202 | 99.07 261 | 92.19 267 | 98.09 219 | 99.02 250 | 90.06 236 | 98.72 232 | 93.58 260 | 88.61 280 | 96.34 293 |
|
pm-mvs1 | | | 95.76 241 | 95.01 247 | 98.00 210 | 98.23 234 | 97.45 211 | 99.24 280 | 99.04 274 | 93.13 262 | 95.93 268 | 99.72 183 | 86.28 272 | 98.84 217 | 95.62 231 | 87.92 284 | 97.72 235 |
|
SixPastTwentyTwo | | | 95.71 242 | 95.49 233 | 96.38 270 | 97.42 284 | 93.01 284 | 99.84 207 | 98.23 297 | 94.75 216 | 95.98 267 | 99.97 140 | 85.35 279 | 98.43 257 | 94.71 244 | 93.17 230 | 97.69 248 |
|
MS-PatchMatch | | | 95.66 243 | 95.87 217 | 95.05 279 | 97.80 266 | 89.25 300 | 98.88 307 | 99.30 186 | 96.35 178 | 96.86 258 | 99.01 251 | 81.35 299 | 99.43 183 | 93.30 263 | 99.98 91 | 96.46 291 |
|
DTE-MVSNet | | | 95.52 244 | 94.99 248 | 97.08 242 | 97.49 280 | 96.45 240 | 100.00 1 | 99.25 207 | 93.82 239 | 96.17 264 | 99.57 213 | 87.81 259 | 97.18 286 | 94.57 245 | 86.26 294 | 97.62 266 |
|
TinyColmap | | | 95.50 245 | 95.12 245 | 96.64 265 | 98.69 215 | 93.00 285 | 99.40 268 | 97.75 312 | 96.40 176 | 96.14 265 | 99.87 162 | 79.47 305 | 99.50 177 | 93.62 259 | 94.72 218 | 97.40 278 |
|
v748 | | | 95.47 246 | 94.95 249 | 97.04 243 | 97.46 283 | 94.76 264 | 99.93 191 | 99.10 248 | 91.95 270 | 97.11 252 | 99.18 233 | 89.94 239 | 98.68 236 | 94.01 255 | 85.88 295 | 97.67 254 |
|
K. test v3 | | | 95.46 247 | 95.14 244 | 96.40 269 | 97.53 277 | 93.40 282 | 99.99 154 | 99.23 213 | 95.49 205 | 92.70 287 | 99.73 182 | 84.26 283 | 98.12 267 | 93.94 257 | 93.38 229 | 97.68 250 |
|
FMVSNet5 | | | 95.32 248 | 95.43 236 | 94.99 280 | 99.39 170 | 92.99 286 | 99.25 279 | 99.24 210 | 90.45 280 | 97.44 245 | 98.45 279 | 95.78 152 | 94.39 311 | 87.02 298 | 91.88 242 | 97.59 270 |
|
DSMNet-mixed | | | 95.18 249 | 95.21 242 | 95.08 278 | 96.03 295 | 90.21 298 | 99.65 249 | 93.64 328 | 92.91 263 | 98.34 210 | 97.40 290 | 90.05 237 | 95.51 309 | 91.02 277 | 97.86 171 | 99.51 178 |
|
RPMNet | | | 95.10 250 | 93.82 253 | 98.93 151 | 99.31 174 | 98.86 139 | 99.13 297 | 99.38 152 | 79.82 316 | 99.96 86 | 95.13 311 | 95.69 156 | 98.10 272 | 77.54 316 | 98.40 142 | 99.84 139 |
|
TransMVSNet (Re) | | | 94.78 251 | 93.72 254 | 97.93 216 | 98.34 226 | 97.88 199 | 99.23 286 | 97.98 308 | 91.60 273 | 94.55 276 | 99.71 185 | 87.89 258 | 98.36 259 | 89.30 294 | 84.92 296 | 97.56 272 |
|
FMVSNet1 | | | 94.45 252 | 93.63 256 | 96.89 251 | 98.87 211 | 94.87 253 | 99.18 289 | 99.27 203 | 90.95 279 | 97.31 247 | 98.81 265 | 72.89 316 | 98.07 275 | 92.61 266 | 92.81 234 | 97.72 235 |
|
test_0402 | | | 94.35 253 | 93.70 255 | 96.32 271 | 97.92 262 | 93.60 279 | 99.61 252 | 98.85 283 | 88.19 300 | 94.68 275 | 99.48 221 | 80.01 304 | 98.58 247 | 89.39 292 | 95.15 209 | 96.77 288 |
|
UnsupCasMVSNet_eth | | | 94.25 254 | 93.89 252 | 95.34 277 | 97.63 272 | 92.13 291 | 99.73 234 | 99.36 161 | 94.88 215 | 92.78 284 | 98.63 274 | 82.72 290 | 96.53 292 | 94.57 245 | 84.73 297 | 97.36 279 |
|
MVS-HIRNet | | | 94.12 255 | 92.73 264 | 98.29 182 | 99.33 173 | 95.95 243 | 99.38 270 | 99.19 222 | 74.54 318 | 98.26 216 | 86.34 324 | 86.07 273 | 99.06 199 | 91.60 273 | 99.87 106 | 99.85 138 |
|
new_pmnet | | | 94.11 256 | 93.47 258 | 96.04 275 | 96.60 292 | 92.82 287 | 99.97 176 | 98.91 281 | 90.21 282 | 95.26 271 | 98.05 287 | 85.89 276 | 98.14 266 | 84.28 303 | 92.01 241 | 97.16 285 |
|
pmmvs6 | | | 93.64 257 | 92.87 262 | 95.94 276 | 97.47 282 | 91.41 297 | 98.92 305 | 99.02 275 | 87.84 301 | 95.01 273 | 99.61 209 | 77.24 311 | 98.77 226 | 94.33 250 | 86.41 293 | 97.63 264 |
|
v18 | | | 93.55 258 | 92.42 266 | 96.91 250 | 98.12 243 | 98.26 170 | 99.83 208 | 98.74 285 | 89.99 285 | 88.94 297 | 95.64 300 | 92.02 198 | 96.54 289 | 90.27 285 | 78.26 309 | 95.94 301 |
|
v17 | | | 93.53 259 | 92.42 266 | 96.88 255 | 98.09 247 | 98.16 180 | 99.83 208 | 98.74 285 | 89.95 286 | 89.05 294 | 95.65 299 | 91.99 200 | 96.54 289 | 90.31 284 | 78.15 311 | 95.95 299 |
|
Patchmatch-RL test | | | 93.49 260 | 93.63 256 | 93.05 292 | 91.78 308 | 83.41 308 | 98.21 315 | 96.95 319 | 91.58 274 | 91.05 289 | 97.64 289 | 99.40 37 | 95.83 306 | 94.11 254 | 81.95 301 | 99.91 105 |
|
v16 | | | 93.48 261 | 92.34 268 | 96.89 251 | 98.13 242 | 98.19 178 | 99.82 213 | 98.74 285 | 89.94 287 | 88.90 298 | 95.62 301 | 91.65 203 | 96.54 289 | 90.03 287 | 78.22 310 | 95.95 299 |
|
Anonymous20231206 | | | 93.45 262 | 93.17 260 | 94.30 286 | 95.00 303 | 89.69 299 | 99.98 170 | 98.43 295 | 93.30 259 | 94.50 277 | 98.59 275 | 90.52 228 | 95.73 307 | 77.46 317 | 90.73 255 | 97.48 276 |
|
v15 | | | 93.28 263 | 92.08 269 | 96.87 256 | 98.07 251 | 98.22 176 | 99.82 213 | 98.74 285 | 89.83 288 | 88.74 300 | 95.44 305 | 91.55 208 | 96.47 293 | 89.70 288 | 76.87 313 | 95.93 302 |
|
V14 | | | 93.24 264 | 92.04 270 | 96.87 256 | 98.07 251 | 98.20 177 | 99.80 218 | 98.74 285 | 89.76 290 | 88.64 301 | 95.53 302 | 91.47 211 | 96.47 293 | 89.49 290 | 76.84 314 | 95.92 303 |
|
V9 | | | 93.20 265 | 91.99 272 | 96.85 258 | 98.05 253 | 98.16 180 | 99.77 224 | 98.73 291 | 89.67 291 | 88.64 301 | 95.44 305 | 91.34 215 | 96.47 293 | 89.46 291 | 76.79 315 | 95.92 303 |
|
v13 | | | 93.18 266 | 91.97 273 | 96.81 261 | 98.12 243 | 98.12 183 | 99.74 230 | 98.73 291 | 89.47 293 | 88.52 303 | 95.40 309 | 91.72 202 | 96.41 296 | 89.23 296 | 76.77 316 | 95.92 303 |
|
v12 | | | 93.18 266 | 91.97 273 | 96.80 262 | 98.09 247 | 98.10 185 | 99.76 227 | 98.73 291 | 89.61 292 | 88.45 304 | 95.41 308 | 91.63 206 | 96.39 298 | 89.32 293 | 76.76 317 | 95.91 306 |
|
v11 | | | 93.14 268 | 91.93 275 | 96.77 264 | 98.01 257 | 98.17 179 | 99.72 236 | 98.74 285 | 89.39 295 | 88.81 299 | 95.49 304 | 91.15 219 | 96.29 300 | 86.78 299 | 79.25 306 | 95.86 308 |
|
test20.03 | | | 93.11 269 | 92.85 263 | 93.88 291 | 95.19 302 | 91.83 293 | 100.00 1 | 98.87 282 | 93.68 247 | 92.76 285 | 98.88 263 | 89.20 248 | 92.71 316 | 77.88 315 | 89.19 273 | 97.09 286 |
|
EG-PatchMatch MVS | | | 92.94 270 | 92.49 265 | 94.29 287 | 95.87 298 | 87.07 304 | 99.07 303 | 98.11 303 | 93.19 261 | 88.98 295 | 98.66 273 | 70.89 318 | 99.08 198 | 92.43 270 | 95.21 206 | 96.72 289 |
|
Test4 | | | 92.63 271 | 90.45 282 | 99.17 138 | 92.81 307 | 99.02 129 | 99.98 170 | 99.13 240 | 96.60 164 | 82.04 316 | 96.27 295 | 51.35 325 | 98.75 229 | 97.55 194 | 98.36 148 | 99.75 159 |
|
MDA-MVSNet_test_wron | | | 92.61 272 | 91.09 278 | 97.19 241 | 96.71 291 | 97.26 222 | 100.00 1 | 99.14 235 | 88.61 297 | 67.90 324 | 98.32 286 | 89.03 249 | 96.57 288 | 90.47 282 | 89.59 269 | 97.74 220 |
|
test2356 | | | 92.55 273 | 93.94 251 | 88.39 299 | 93.49 306 | 78.42 312 | 100.00 1 | 99.40 133 | 91.64 272 | 93.93 280 | 98.74 269 | 91.11 221 | 88.67 321 | 79.37 312 | 97.79 175 | 98.08 190 |
|
YYNet1 | | | 92.44 274 | 90.92 279 | 97.03 244 | 96.20 293 | 97.06 229 | 99.99 154 | 99.14 235 | 88.21 299 | 67.93 323 | 98.43 281 | 88.63 253 | 96.28 301 | 90.64 278 | 89.08 275 | 97.74 220 |
|
MIMVSNet1 | | | 91.96 275 | 91.20 276 | 94.23 288 | 94.94 304 | 91.69 295 | 99.34 273 | 99.22 215 | 88.23 298 | 94.18 279 | 98.45 279 | 75.52 314 | 93.41 315 | 79.37 312 | 91.49 246 | 97.60 269 |
|
TDRefinement | | | 91.93 276 | 90.48 281 | 96.27 272 | 81.60 323 | 92.65 289 | 99.10 299 | 97.61 315 | 93.96 235 | 93.77 282 | 99.85 166 | 80.03 303 | 99.53 173 | 97.82 187 | 70.59 320 | 96.63 290 |
|
OpenMVS_ROB | | 88.34 20 | 91.89 277 | 91.12 277 | 94.19 289 | 95.55 300 | 87.63 303 | 99.26 278 | 98.03 305 | 86.61 303 | 90.65 292 | 96.82 291 | 70.14 319 | 98.78 223 | 86.54 300 | 96.50 190 | 96.15 295 |
|
N_pmnet | | | 91.88 278 | 93.37 259 | 87.40 301 | 97.24 288 | 66.33 325 | 99.90 196 | 91.05 330 | 89.77 289 | 95.65 270 | 98.58 276 | 90.05 237 | 98.11 269 | 85.39 301 | 92.72 235 | 97.75 198 |
|
pmmvs-eth3d | | | 91.73 279 | 90.67 280 | 94.92 282 | 91.63 310 | 92.71 288 | 99.90 196 | 98.54 294 | 91.19 277 | 88.08 305 | 95.50 303 | 79.31 307 | 96.13 303 | 90.55 281 | 81.32 303 | 95.91 306 |
|
MDA-MVSNet-bldmvs | | | 91.65 280 | 89.94 283 | 96.79 263 | 96.72 290 | 96.70 237 | 99.42 267 | 98.94 278 | 88.89 296 | 66.97 326 | 98.37 284 | 81.43 297 | 95.91 305 | 89.24 295 | 89.46 271 | 97.75 198 |
|
testus | | | 91.61 281 | 92.92 261 | 87.70 300 | 93.91 305 | 74.98 316 | 100.00 1 | 98.19 299 | 92.59 266 | 93.90 281 | 98.68 271 | 81.43 297 | 90.77 319 | 79.82 311 | 97.71 178 | 97.34 281 |
|
testing_2 | | | 90.79 282 | 88.26 288 | 98.35 177 | 89.11 314 | 98.56 148 | 99.70 240 | 99.14 235 | 93.70 245 | 73.80 319 | 94.06 315 | 55.19 322 | 98.76 228 | 97.17 204 | 92.50 237 | 97.74 220 |
|
CMPMVS | | 66.12 22 | 90.65 283 | 92.04 270 | 86.46 303 | 96.18 294 | 66.87 324 | 98.03 316 | 99.38 152 | 83.38 312 | 85.49 311 | 99.55 214 | 77.59 310 | 98.80 222 | 94.44 247 | 94.31 222 | 93.72 313 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
pmmvs3 | | | 90.62 284 | 89.36 285 | 94.40 285 | 90.53 312 | 91.49 296 | 100.00 1 | 96.73 321 | 84.21 310 | 93.65 283 | 96.65 292 | 82.56 293 | 94.83 310 | 82.28 306 | 77.62 312 | 96.89 287 |
|
new-patchmatchnet | | | 90.30 285 | 89.46 284 | 92.84 293 | 90.77 311 | 88.55 302 | 99.83 208 | 98.80 284 | 90.07 284 | 87.86 306 | 95.00 312 | 78.77 308 | 94.30 312 | 84.86 302 | 79.15 307 | 95.68 310 |
|
UnsupCasMVSNet_bld | | | 89.50 286 | 88.00 289 | 93.99 290 | 95.30 301 | 88.86 301 | 98.52 312 | 99.28 196 | 85.50 307 | 87.80 307 | 94.11 314 | 61.63 321 | 96.96 287 | 90.63 279 | 79.26 305 | 96.15 295 |
|
1111 | | | 88.62 287 | 89.13 286 | 87.08 302 | 87.71 315 | 77.22 313 | 99.96 179 | 97.71 313 | 85.51 305 | 83.47 314 | 96.26 296 | 95.76 153 | 90.96 317 | 66.63 323 | 89.17 274 | 93.07 314 |
|
PM-MVS | | | 88.39 288 | 87.41 290 | 91.31 294 | 91.73 309 | 82.02 310 | 99.79 219 | 96.62 322 | 91.06 278 | 90.71 291 | 95.73 298 | 48.60 327 | 95.96 304 | 90.56 280 | 81.91 302 | 95.97 298 |
|
test1235678 | | | 88.02 289 | 88.73 287 | 85.90 305 | 87.57 317 | 71.70 320 | 100.00 1 | 97.42 316 | 87.52 302 | 86.19 309 | 96.39 294 | 81.60 295 | 87.93 322 | 70.72 320 | 91.18 248 | 98.08 190 |
|
test12356 | | | 86.30 290 | 87.15 291 | 83.77 309 | 84.24 320 | 72.00 318 | 99.94 189 | 96.80 320 | 84.63 309 | 85.16 312 | 96.51 293 | 77.02 312 | 86.31 325 | 70.06 321 | 89.93 265 | 93.00 315 |
|
.test1245 | | | 85.18 291 | 84.81 292 | 86.28 304 | 87.71 315 | 77.22 313 | 99.96 179 | 97.71 313 | 85.51 305 | 83.47 314 | 96.26 296 | 95.76 153 | 90.96 317 | 66.63 323 | 50.30 324 | 90.64 318 |
|
Gipuma | | | 84.73 292 | 83.50 293 | 88.40 298 | 97.50 278 | 82.21 309 | 88.87 325 | 99.05 271 | 65.81 321 | 85.71 310 | 90.49 319 | 53.70 323 | 96.31 299 | 78.64 314 | 91.74 243 | 86.67 322 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
Anonymous20231211 | | | 84.35 293 | 82.41 294 | 90.15 295 | 89.14 313 | 78.88 311 | 98.71 309 | 98.22 298 | 70.20 320 | 86.88 308 | 95.44 305 | 47.11 329 | 95.72 308 | 81.14 307 | 74.88 318 | 95.84 309 |
|
testmvs | | | 80.17 294 | 81.95 295 | 74.80 315 | 58.54 334 | 59.58 332 | 100.00 1 | 87.14 334 | 76.09 317 | 99.61 138 | 100.00 1 | 67.06 320 | 74.19 333 | 98.84 145 | 50.30 324 | 90.64 318 |
|
testmv | | | 79.83 295 | 79.77 296 | 79.99 312 | 78.22 327 | 63.55 328 | 99.67 246 | 95.51 326 | 80.89 314 | 76.24 318 | 92.90 317 | 52.16 324 | 86.10 326 | 62.45 326 | 79.90 304 | 90.33 320 |
|
test123 | | | 79.44 296 | 79.23 298 | 80.05 311 | 80.03 325 | 71.72 319 | 100.00 1 | 77.93 337 | 62.52 322 | 94.81 274 | 99.69 189 | 78.21 309 | 74.53 332 | 92.57 267 | 27.33 332 | 93.90 311 |
|
PMMVS2 | | | 79.15 297 | 77.28 299 | 84.76 308 | 82.34 322 | 72.66 317 | 99.70 240 | 95.11 327 | 71.68 319 | 84.78 313 | 90.87 318 | 32.05 332 | 89.99 320 | 75.53 318 | 63.45 321 | 91.64 316 |
|
LCM-MVSNet | | | 79.01 298 | 76.93 300 | 85.27 307 | 78.28 326 | 68.01 323 | 96.57 320 | 98.03 305 | 55.10 326 | 82.03 317 | 93.27 316 | 31.99 333 | 93.95 313 | 82.72 305 | 74.37 319 | 93.84 312 |
|
FPMVS | | | 77.92 299 | 79.45 297 | 73.34 317 | 76.87 328 | 46.81 335 | 98.24 314 | 99.05 271 | 59.89 325 | 73.55 320 | 98.34 285 | 36.81 331 | 86.55 323 | 80.96 308 | 91.35 247 | 86.65 323 |
|
tmp_tt | | | 75.80 300 | 74.26 301 | 80.43 310 | 52.91 336 | 53.67 334 | 87.42 327 | 97.98 308 | 61.80 323 | 67.04 325 | 100.00 1 | 76.43 313 | 96.40 297 | 96.47 220 | 28.26 331 | 91.23 317 |
|
no-one | | | 74.65 301 | 71.03 302 | 85.51 306 | 80.99 324 | 75.42 315 | 99.70 240 | 97.15 317 | 81.02 313 | 66.48 327 | 80.55 331 | 29.10 334 | 93.65 314 | 73.74 319 | 30.53 330 | 87.47 321 |
|
E-PMN | | | 70.72 302 | 70.06 303 | 72.69 319 | 83.92 321 | 65.48 327 | 99.95 185 | 92.72 329 | 49.88 329 | 72.30 321 | 86.26 325 | 47.17 328 | 77.43 330 | 53.83 330 | 44.49 326 | 75.17 330 |
|
PNet_i23d | | | 69.93 303 | 67.61 305 | 76.86 313 | 75.89 329 | 62.08 331 | 97.85 317 | 88.23 332 | 61.04 324 | 55.65 329 | 84.10 327 | 19.35 336 | 83.21 327 | 66.45 325 | 59.98 322 | 85.29 325 |
|
EMVS | | | 69.88 304 | 69.09 304 | 72.24 320 | 84.70 319 | 65.82 326 | 99.96 179 | 87.08 335 | 49.82 330 | 71.51 322 | 84.74 326 | 49.30 326 | 75.32 331 | 50.97 331 | 43.71 327 | 75.59 329 |
|
MVE | | 68.59 21 | 67.22 305 | 64.68 307 | 74.84 314 | 74.67 331 | 62.32 330 | 95.84 321 | 90.87 331 | 50.98 328 | 58.72 328 | 81.05 329 | 12.20 340 | 78.95 329 | 61.06 328 | 56.75 323 | 83.24 326 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
ANet_high | | | 66.05 306 | 63.44 308 | 73.88 316 | 61.14 333 | 63.45 329 | 95.68 323 | 87.18 333 | 79.93 315 | 47.35 330 | 80.68 330 | 22.35 335 | 72.33 334 | 61.24 327 | 35.42 329 | 85.88 324 |
|
PMVS | | 60.66 23 | 65.98 307 | 65.05 306 | 68.75 321 | 55.06 335 | 38.40 336 | 88.19 326 | 96.98 318 | 48.30 331 | 44.82 332 | 88.52 322 | 12.22 339 | 86.49 324 | 67.58 322 | 83.79 299 | 81.35 327 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
wuykxyi23d | | | 62.75 308 | 59.23 309 | 73.34 317 | 61.53 332 | 59.39 333 | 93.28 324 | 86.17 336 | 53.70 327 | 46.89 331 | 77.89 332 | 12.35 337 | 79.96 328 | 60.86 329 | 40.35 328 | 80.68 328 |
|
pcd1.5k->3k | | | 40.07 309 | 42.58 310 | 32.57 322 | 97.97 261 | 0.00 338 | 0.00 329 | 99.25 207 | 0.00 333 | 0.00 334 | 0.14 335 | 91.10 222 | 0.00 336 | 0.00 333 | 94.75 216 | 97.70 243 |
|
wuyk23d | | | 28.28 310 | 29.73 312 | 23.92 323 | 75.89 329 | 32.61 337 | 66.50 328 | 12.88 338 | 16.09 332 | 14.59 333 | 16.59 334 | 12.35 337 | 32.36 335 | 39.36 332 | 13.36 333 | 6.79 331 |
|
cdsmvs_eth3d_5k | | | 24.41 311 | 32.55 311 | 0.00 324 | 0.00 337 | 0.00 338 | 0.00 329 | 99.39 148 | 0.00 333 | 0.00 334 | 100.00 1 | 93.55 179 | 0.00 336 | 0.00 333 | 0.00 334 | 0.00 332 |
|
ab-mvs-re | | | 8.33 312 | 11.11 313 | 0.00 324 | 0.00 337 | 0.00 338 | 0.00 329 | 0.00 339 | 0.00 333 | 0.00 334 | 100.00 1 | 0.00 341 | 0.00 336 | 0.00 333 | 0.00 334 | 0.00 332 |
|
pcd_1.5k_mvsjas | | | 8.24 313 | 10.99 314 | 0.00 324 | 0.00 337 | 0.00 338 | 0.00 329 | 0.00 339 | 0.00 333 | 0.00 334 | 0.14 335 | 98.75 95 | 0.00 336 | 0.00 333 | 0.00 334 | 0.00 332 |
|
sosnet-low-res | | | 0.01 314 | 0.02 315 | 0.00 324 | 0.00 337 | 0.00 338 | 0.00 329 | 0.00 339 | 0.00 333 | 0.00 334 | 0.14 335 | 0.00 341 | 0.00 336 | 0.00 333 | 0.00 334 | 0.00 332 |
|
sosnet | | | 0.01 314 | 0.02 315 | 0.00 324 | 0.00 337 | 0.00 338 | 0.00 329 | 0.00 339 | 0.00 333 | 0.00 334 | 0.14 335 | 0.00 341 | 0.00 336 | 0.00 333 | 0.00 334 | 0.00 332 |
|
uncertanet | | | 0.01 314 | 0.02 315 | 0.00 324 | 0.00 337 | 0.00 338 | 0.00 329 | 0.00 339 | 0.00 333 | 0.00 334 | 0.14 335 | 0.00 341 | 0.00 336 | 0.00 333 | 0.00 334 | 0.00 332 |
|
Regformer | | | 0.01 314 | 0.02 315 | 0.00 324 | 0.00 337 | 0.00 338 | 0.00 329 | 0.00 339 | 0.00 333 | 0.00 334 | 0.14 335 | 0.00 341 | 0.00 336 | 0.00 333 | 0.00 334 | 0.00 332 |
|
uanet | | | 0.01 314 | 0.02 315 | 0.00 324 | 0.00 337 | 0.00 338 | 0.00 329 | 0.00 339 | 0.00 333 | 0.00 334 | 0.14 335 | 0.00 341 | 0.00 336 | 0.00 333 | 0.00 334 | 0.00 332 |
|
sam_mvs1 | | | | | | | | | | | | | 99.29 51 | | | | |
|
sam_mvs | | | | | | | | | | | | | 99.33 40 | | | | |
|
semantic-postprocess | | | | | 97.62 223 | 99.40 167 | 96.83 234 | | 99.14 235 | 94.65 220 | 97.55 242 | 99.72 183 | 89.64 243 | 98.31 261 | 95.62 231 | 92.05 240 | 97.73 230 |
|
ambc | | | | | 88.45 297 | 86.84 318 | 70.76 322 | 97.79 319 | 98.02 307 | | 90.91 290 | 95.14 310 | 38.69 330 | 98.51 251 | 94.97 242 | 84.23 298 | 96.09 297 |
|
MTGPA | | | | | | | | | 99.42 102 | | | | | | | | |
|
test_post1 | | | | | | | | 99.32 274 | | | | 88.24 323 | 99.33 40 | 99.59 154 | 98.31 171 | | |
|
test_post | | | | | | | | | | | | 89.05 321 | 99.49 26 | 99.59 154 | | | |
|
patchmatchnet-post | | | | | | | | | | | | 97.79 288 | 99.41 36 | 99.54 169 | | | |
|
GG-mvs-BLEND | | | | | 99.59 104 | 99.54 141 | 99.49 92 | 99.17 294 | 99.52 57 | | 99.96 86 | 99.68 194 | 100.00 1 | 99.33 191 | 99.71 97 | 99.99 85 | 99.96 90 |
|
MTMP | | | | | | | | | 99.18 226 | | | | | | | | |
|
gm-plane-assit | | | | | | 99.52 149 | 97.26 222 | | | 95.86 190 | | 100.00 1 | | 99.43 183 | 98.76 150 | | |
|
test9_res | | | | | | | | | | | | | | | 100.00 1 | 100.00 1 | 100.00 1 |
|
TEST9 | | | | | | 100.00 1 | 99.95 17 | 100.00 1 | 99.42 102 | 97.65 109 | 100.00 1 | 100.00 1 | 99.53 17 | 99.97 86 | | | |
|
test_8 | | | | | | 100.00 1 | 99.91 36 | 100.00 1 | 99.42 102 | 97.70 105 | 100.00 1 | 100.00 1 | 99.51 20 | 99.98 82 | | | |
|
agg_prior2 | | | | | | | | | | | | | | | 100.00 1 | 100.00 1 | 100.00 1 |
|
agg_prior | | | | | | 100.00 1 | 99.88 53 | | 99.42 102 | | 100.00 1 | | | 99.97 86 | | | |
|
TestCases | | | | | 98.99 147 | 99.93 86 | 97.35 217 | | 99.40 133 | 97.08 141 | 99.09 162 | 99.98 132 | 93.37 180 | 99.95 106 | 96.94 209 | 99.84 107 | 99.68 170 |
|
test_prior4 | | | | | | | 99.93 30 | 100.00 1 | | | | | | | | | |
|
test_prior2 | | | | | | | | 100.00 1 | | 98.82 34 | 100.00 1 | 100.00 1 | 99.47 29 | | 100.00 1 | 100.00 1 | |
|
test_prior | | | | | 99.90 60 | 100.00 1 | 99.75 69 | | 99.73 45 | | | | | 99.97 86 | | | 100.00 1 |
|
旧先验2 | | | | | | | | 100.00 1 | | 98.11 73 | 100.00 1 | | | 100.00 1 | 99.67 103 | | |
|
æ–°å‡ ä½•2 | | | | | | | | 100.00 1 | | | | | | | | | |
|
æ–°å‡ ä½•1 | | | | | 99.99 4 | 100.00 1 | 99.96 8 | | 99.81 32 | 97.89 90 | 100.00 1 | 100.00 1 | 99.20 61 | 100.00 1 | 97.91 185 | 100.00 1 | 100.00 1 |
|
旧先验1 | | | | | | 99.99 43 | 99.88 53 | | 99.82 31 | | | 100.00 1 | 99.27 55 | | | 100.00 1 | 100.00 1 |
|
æ— å…ˆéªŒ | | | | | | | | 100.00 1 | 99.80 33 | 97.98 82 | | | | 100.00 1 | 99.33 125 | | 100.00 1 |
|
原ACMM2 | | | | | | | | 100.00 1 | | | | | | | | | |
|
原ACMM1 | | | | | 99.93 52 | 100.00 1 | 99.80 65 | | 99.66 52 | 98.18 64 | 100.00 1 | 100.00 1 | 99.43 34 | 100.00 1 | 99.50 116 | 100.00 1 | 100.00 1 |
|
test222 | | | | | | 99.99 43 | 99.90 42 | 100.00 1 | 99.69 51 | 97.66 108 | 100.00 1 | 100.00 1 | 99.30 50 | | | 100.00 1 | 100.00 1 |
|
testdata2 | | | | | | | | | | | | | | 100.00 1 | 97.36 202 | | |
|
segment_acmp | | | | | | | | | | | | | 99.55 16 | | | | |
|
testdata | | | | | 99.66 96 | 99.99 43 | 98.97 136 | | 99.73 45 | 97.96 86 | 100.00 1 | 100.00 1 | 99.42 35 | 100.00 1 | 99.28 129 | 100.00 1 | 100.00 1 |
|
testdata1 | | | | | | | | 100.00 1 | | 98.77 38 | | | | | | | |
|
test12 | | | | | 99.95 43 | 99.99 43 | 99.89 45 | | 99.42 102 | | 100.00 1 | | 99.24 57 | 99.97 86 | | 100.00 1 | 100.00 1 |
|
plane_prior7 | | | | | | 99.00 198 | 94.78 263 | | | | | | | | | | |
|
plane_prior6 | | | | | | 99.06 190 | 94.80 259 | | | | | | 88.58 256 | | | | |
|
plane_prior5 | | | | | | | | | 99.40 133 | | | | | 99.55 166 | 99.79 87 | 95.57 195 | 97.76 194 |
|
plane_prior4 | | | | | | | | | | | | 99.97 140 | | | | | |
|
plane_prior3 | | | | | | | 94.79 262 | | | 99.03 16 | 99.08 164 | | | | | | |
|
plane_prior2 | | | | | | | | 100.00 1 | | 99.00 19 | | | | | | | |
|
plane_prior1 | | | | | | 99.02 193 | | | | | | | | | | | |
|
plane_prior | | | | | | | 94.80 259 | 100.00 1 | | 99.03 16 | | | | | | 95.58 191 | |
|
n2 | | | | | | | | | 0.00 339 | | | | | | | | |
|
nn | | | | | | | | | 0.00 339 | | | | | | | | |
|
door-mid | | | | | | | | | 96.32 324 | | | | | | | | |
|
lessismore_v0 | | | | | 96.05 274 | 97.55 276 | 91.80 294 | | 99.22 215 | | 91.87 288 | 99.91 158 | 83.50 289 | 98.68 236 | 92.48 269 | 90.42 258 | 97.68 250 |
|
LGP-MVS_train | | | | | 97.28 237 | 98.85 213 | 94.60 269 | | 99.37 155 | 97.35 129 | 98.85 176 | 99.98 132 | 86.66 269 | 99.56 161 | 99.55 110 | 95.26 202 | 97.70 243 |
|
test11 | | | | | | | | | 99.42 102 | | | | | | | | |
|
door | | | | | | | | | 96.13 325 | | | | | | | | |
|
HQP5-MVS | | | | | | | 94.82 256 | | | | | | | | | | |
|
HQP-NCC | | | | | | 99.07 186 | | 100.00 1 | | 99.04 13 | 99.17 156 | | | | | | |
|
ACMP_Plane | | | | | | 99.07 186 | | 100.00 1 | | 99.04 13 | 99.17 156 | | | | | | |
|
BP-MVS | | | | | | | | | | | | | | | 99.79 87 | | |
|
HQP4-MVS | | | | | | | | | | | 99.17 156 | | | 99.57 157 | | | 97.77 192 |
|
HQP3-MVS | | | | | | | | | 99.40 133 | | | | | | | 95.58 191 | |
|
HQP2-MVS | | | | | | | | | | | | | 88.61 254 | | | | |
|
NP-MVS | | | | | | 99.07 186 | 94.81 258 | | | | | 99.97 140 | | | | | |
|
MDTV_nov1_ep13_2view | | | | | | | 99.24 116 | 99.56 256 | | 96.31 180 | 99.96 86 | | 98.86 89 | | 98.92 142 | | 99.89 117 |
|
MDTV_nov1_ep13 | | | | 98.94 94 | | 99.53 144 | 98.36 158 | 99.39 269 | 99.46 77 | 96.54 167 | 99.99 74 | 99.63 206 | 98.92 85 | 99.86 129 | 98.30 172 | 98.71 130 | |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 94.58 221 | |
|
ACMMP++ | | | | | | | | | | | | | | | | 95.17 208 | |
|
Test By Simon | | | | | | | | | | | | | 99.10 68 | | | | |
|
ITE_SJBPF | | | | | 96.84 259 | 98.96 204 | 93.49 280 | | 98.12 302 | 98.12 72 | 98.35 209 | 99.97 140 | 84.45 281 | 99.56 161 | 95.63 230 | 95.25 204 | 97.49 274 |
|
DeepMVS_CX | | | | | 89.98 296 | 98.90 207 | 71.46 321 | | 99.18 226 | 97.61 113 | 96.92 255 | 99.83 169 | 86.07 273 | 99.83 135 | 96.02 222 | 97.65 179 | 98.65 186 |
|