test_part2 | | | | | | 100.00 1 | 99.99 1 | | | | 100.00 1 | | | | | | |
|
ESAPD | | | 99.76 15 | 99.69 18 | 100.00 1 | 100.00 1 | 99.99 1 | 100.00 1 | 99.42 121 | 98.23 64 | 100.00 1 | 100.00 1 | 99.53 25 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
MCST-MVS | | | 99.85 3 | 99.80 4 | 100.00 1 | 100.00 1 | 99.99 1 | 100.00 1 | 99.73 55 | 99.19 5 | 100.00 1 | 100.00 1 | 99.31 54 | 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 45 | 99.07 8 | 100.00 1 | 100.00 1 | 99.39 48 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
NCCC | | | 99.86 2 | 99.82 3 | 100.00 1 | 100.00 1 | 99.99 1 | 100.00 1 | 99.71 63 | 99.07 8 | 100.00 1 | 100.00 1 | 99.59 21 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
HPM-MVS++ | | | 99.82 7 | 99.76 10 | 99.99 5 | 99.99 45 | 99.98 6 | 100.00 1 | 99.83 40 | 98.88 27 | 99.96 87 | 100.00 1 | 99.21 70 | 100.00 1 | 100.00 1 | 100.00 1 | 99.99 88 |
|
APDe-MVS | | | 99.84 6 | 99.78 6 | 99.99 5 | 100.00 1 | 99.98 6 | 100.00 1 | 99.44 106 | 99.06 10 | 100.00 1 | 100.00 1 | 99.56 23 | 99.99 81 | 100.00 1 | 100.00 1 | 100.00 1 |
|
CHOSEN 280x420 | | | 99.85 3 | 99.87 1 | 99.80 94 | 99.99 45 | 99.97 8 | 99.97 197 | 99.98 13 | 98.96 21 | 100.00 1 | 100.00 1 | 99.96 3 | 99.42 206 | 100.00 1 | 100.00 1 | 100.00 1 |
|
CDPH-MVS | | | 99.73 26 | 99.64 35 | 99.99 5 | 100.00 1 | 99.97 8 | 100.00 1 | 99.42 121 | 98.02 80 | 100.00 1 | 100.00 1 | 99.32 53 | 99.99 81 | 100.00 1 | 100.00 1 | 100.00 1 |
|
TSAR-MVS + MP. | | | 99.82 7 | 99.77 8 | 99.99 5 | 100.00 1 | 99.96 10 | 100.00 1 | 99.43 115 | 99.05 12 | 100.00 1 | 100.00 1 | 99.45 42 | 99.99 81 | 100.00 1 | 100.00 1 | 100.00 1 |
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新几何1 | | | | | 99.99 5 | 100.00 1 | 99.96 10 | | 99.81 42 | 97.89 93 | 100.00 1 | 100.00 1 | 99.20 71 | 100.00 1 | 97.91 206 | 100.00 1 | 100.00 1 |
|
1121 | | | 99.63 51 | 99.51 55 | 99.99 5 | 99.99 45 | 99.96 10 | 99.24 302 | 99.74 53 | 97.89 93 | 100.00 1 | 100.00 1 | 99.39 48 | 100.00 1 | 99.33 139 | 100.00 1 | 100.00 1 |
|
SD-MVS | | | 99.81 9 | 99.75 12 | 99.99 5 | 99.99 45 | 99.96 10 | 100.00 1 | 99.42 121 | 99.01 18 | 100.00 1 | 100.00 1 | 99.33 50 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
MSLP-MVS++ | | | 99.89 1 | 99.85 2 | 99.99 5 | 100.00 1 | 99.96 10 | 100.00 1 | 99.95 15 | 99.11 6 | 100.00 1 | 100.00 1 | 99.60 19 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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APD-MVS | | | 99.68 42 | 99.58 48 | 99.97 23 | 99.99 45 | 99.96 10 | 100.00 1 | 99.42 121 | 97.53 130 | 100.00 1 | 100.00 1 | 99.27 65 | 99.97 98 | 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 |
PAPM_NR | | | 99.74 23 | 99.66 30 | 99.99 5 | 100.00 1 | 99.96 10 | 100.00 1 | 99.47 83 | 97.87 96 | 100.00 1 | 100.00 1 | 99.60 19 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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PAPR | | | 99.76 15 | 99.68 22 | 99.99 5 | 100.00 1 | 99.96 10 | 100.00 1 | 99.47 83 | 98.16 67 | 100.00 1 | 100.00 1 | 99.51 30 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
DeepC-MVS_fast | | 98.92 1 | 99.75 18 | 99.67 27 | 99.99 5 | 99.99 45 | 99.96 10 | 99.73 255 | 99.52 76 | 99.06 10 | 100.00 1 | 100.00 1 | 98.80 103 | 100.00 1 | 99.95 70 | 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 |
TEST9 | | | | | | 100.00 1 | 99.95 19 | 100.00 1 | 99.42 121 | 97.65 119 | 100.00 1 | 100.00 1 | 99.53 25 | 99.97 98 | | | |
|
train_agg | | | 99.71 32 | 99.63 39 | 99.97 23 | 100.00 1 | 99.95 19 | 100.00 1 | 99.42 121 | 97.70 109 | 100.00 1 | 100.00 1 | 99.51 30 | 99.97 98 | 100.00 1 | 100.00 1 | 100.00 1 |
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agg_prior3 | | | 99.71 32 | 99.63 39 | 99.97 23 | 100.00 1 | 99.95 19 | 100.00 1 | 99.42 121 | 97.71 108 | 100.00 1 | 100.00 1 | 99.51 30 | 99.97 98 | 100.00 1 | 100.00 1 | 100.00 1 |
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canonicalmvs | | | 99.03 114 | 98.73 131 | 99.94 58 | 99.75 127 | 99.95 19 | 100.00 1 | 99.30 206 | 97.64 121 | 100.00 1 | 100.00 1 | 95.22 183 | 99.97 98 | 99.76 96 | 96.90 209 | 99.91 127 |
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MVS | | | 99.22 99 | 98.96 105 | 99.98 16 | 99.00 219 | 99.95 19 | 99.24 302 | 99.94 18 | 98.14 70 | 98.88 195 | 100.00 1 | 95.63 178 | 100.00 1 | 99.85 82 | 100.00 1 | 100.00 1 |
|
SteuartSystems-ACMMP | | | 99.78 13 | 99.71 16 | 99.98 16 | 99.76 125 | 99.95 19 | 100.00 1 | 99.42 121 | 98.69 38 | 100.00 1 | 100.00 1 | 99.52 28 | 99.99 81 | 100.00 1 | 100.00 1 | 100.00 1 |
Skip Steuart: Steuart Systems R&D Blog. |
DP-MVS Recon | | | 99.76 15 | 99.69 18 | 99.98 16 | 100.00 1 | 99.95 19 | 100.00 1 | 99.52 76 | 97.99 82 | 99.99 75 | 100.00 1 | 99.72 15 | 100.00 1 | 99.96 65 | 100.00 1 | 100.00 1 |
|
PAPM | | | 99.78 13 | 99.76 10 | 99.85 84 | 99.01 215 | 99.95 19 | 100.00 1 | 99.75 50 | 99.37 3 | 99.99 75 | 100.00 1 | 99.76 14 | 99.60 173 | 100.00 1 | 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 | 99.44 106 | 98.43 49 | 100.00 1 | 100.00 1 | 99.23 68 | 99.99 81 | 99.99 44 | 100.00 1 | 100.00 1 |
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Regformer-2 | | | 99.75 18 | 99.68 22 | 99.97 23 | 100.00 1 | 99.94 27 | 100.00 1 | 99.44 106 | 98.42 51 | 100.00 1 | 100.00 1 | 99.22 69 | 99.99 81 | 99.99 44 | 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 50 | 98.67 40 | 100.00 1 | 100.00 1 | 99.16 75 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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X-MVStestdata | | | 97.04 203 | 96.06 230 | 99.98 16 | 100.00 1 | 99.94 27 | 100.00 1 | 99.75 50 | 98.67 40 | 100.00 1 | 66.97 355 | 99.16 75 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
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MP-MVS | | | 99.61 54 | 99.49 58 | 99.98 16 | 99.99 45 | 99.94 27 | 100.00 1 | 99.42 121 | 97.82 100 | 99.99 75 | 100.00 1 | 98.20 118 | 100.00 1 | 99.99 44 | 100.00 1 | 100.00 1 |
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test_prior4 | | | | | | | 99.93 32 | 100.00 1 | | | | | | | | | |
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WTY-MVS | | | 99.54 59 | 99.40 61 | 99.95 46 | 99.81 99 | 99.93 32 | 100.00 1 | 100.00 1 | 97.98 84 | 99.84 122 | 100.00 1 | 98.94 93 | 99.98 94 | 99.86 80 | 98.21 159 | 99.94 115 |
|
HY-MVS | | 96.53 9 | 99.50 63 | 99.35 69 | 99.96 35 | 99.81 99 | 99.93 32 | 99.64 272 | 100.00 1 | 97.97 86 | 99.84 122 | 99.85 187 | 98.94 93 | 99.99 81 | 99.86 80 | 98.23 158 | 99.95 111 |
|
MP-MVS-pluss | | | 99.61 54 | 99.50 56 | 99.97 23 | 99.98 71 | 99.92 35 | 100.00 1 | 99.42 121 | 97.53 130 | 99.77 138 | 100.00 1 | 98.77 104 | 100.00 1 | 99.99 44 | 100.00 1 | 99.99 88 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
ACMMP_Plus | | | 99.67 45 | 99.57 50 | 99.97 23 | 99.98 71 | 99.92 35 | 100.00 1 | 99.42 121 | 97.83 98 | 100.00 1 | 100.00 1 | 98.89 98 | 100.00 1 | 99.98 58 | 100.00 1 | 100.00 1 |
|
alignmvs | | | 99.38 73 | 99.21 79 | 99.91 68 | 99.73 128 | 99.92 35 | 100.00 1 | 99.51 80 | 97.61 123 | 100.00 1 | 100.00 1 | 99.06 80 | 99.93 132 | 99.83 85 | 97.12 205 | 99.90 135 |
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MPTG | | | 99.68 42 | 99.59 46 | 99.97 23 | 99.99 45 | 99.91 38 | 100.00 1 | 99.42 121 | 98.32 61 | 99.94 108 | 100.00 1 | 98.65 108 | 100.00 1 | 99.96 65 | 100.00 1 | 100.00 1 |
|
MTAPA | | | 99.68 42 | 99.59 46 | 99.97 23 | 99.99 45 | 99.91 38 | 100.00 1 | 99.42 121 | 98.32 61 | 99.94 108 | 100.00 1 | 98.65 108 | 100.00 1 | 99.96 65 | 100.00 1 | 100.00 1 |
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test_8 | | | | | | 100.00 1 | 99.91 38 | 100.00 1 | 99.42 121 | 97.70 109 | 100.00 1 | 100.00 1 | 99.51 30 | 99.98 94 | | | |
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APD-MVS_3200maxsize | | | 99.65 47 | 99.55 54 | 99.97 23 | 99.99 45 | 99.91 38 | 100.00 1 | 99.48 82 | 97.54 129 | 100.00 1 | 100.00 1 | 98.97 88 | 99.99 81 | 99.98 58 | 100.00 1 | 100.00 1 |
|
mPP-MVS | | | 99.69 39 | 99.60 45 | 99.97 23 | 100.00 1 | 99.91 38 | 100.00 1 | 99.42 121 | 97.91 92 | 100.00 1 | 100.00 1 | 99.04 82 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
MG-MVS | | | 99.75 18 | 99.68 22 | 99.97 23 | 100.00 1 | 99.91 38 | 99.98 191 | 99.47 83 | 99.09 7 | 100.00 1 | 100.00 1 | 98.59 111 | 100.00 1 | 99.95 70 | 100.00 1 | 100.00 1 |
|
region2R | | | 99.72 29 | 99.64 35 | 99.97 23 | 100.00 1 | 99.90 44 | 100.00 1 | 99.74 53 | 97.86 97 | 100.00 1 | 100.00 1 | 99.19 72 | 100.00 1 | 99.99 44 | 100.00 1 | 100.00 1 |
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test222 | | | | | | 99.99 45 | 99.90 44 | 100.00 1 | 99.69 70 | 97.66 112 | 100.00 1 | 100.00 1 | 99.30 60 | | | 100.00 1 | 100.00 1 |
|
thres200 | | | 99.27 90 | 99.04 95 | 99.96 35 | 99.81 99 | 99.90 44 | 100.00 1 | 99.94 18 | 97.31 144 | 99.83 124 | 99.96 159 | 97.04 138 | 100.00 1 | 99.62 111 | 97.88 174 | 99.98 90 |
|
3Dnovator | | 95.63 14 | 99.06 111 | 98.76 129 | 99.96 35 | 98.86 233 | 99.90 44 | 99.98 191 | 99.93 32 | 98.95 24 | 98.49 225 | 100.00 1 | 92.91 209 | 100.00 1 | 99.71 100 | 100.00 1 | 100.00 1 |
|
tfpn200view9 | | | 99.26 92 | 99.03 96 | 99.96 35 | 99.81 99 | 99.89 48 | 100.00 1 | 99.94 18 | 97.23 145 | 99.83 124 | 99.96 159 | 97.04 138 | 100.00 1 | 99.59 112 | 97.85 177 | 99.98 90 |
|
HFP-MVS | | | 99.74 23 | 99.67 27 | 99.96 35 | 100.00 1 | 99.89 48 | 100.00 1 | 99.76 46 | 97.95 89 | 100.00 1 | 100.00 1 | 99.31 54 | 100.00 1 | 99.99 44 | 100.00 1 | 100.00 1 |
|
#test# | | | 99.75 18 | 99.68 22 | 99.96 35 | 100.00 1 | 99.89 48 | 100.00 1 | 99.76 46 | 98.07 77 | 100.00 1 | 100.00 1 | 99.31 54 | 100.00 1 | 99.99 44 | 100.00 1 | 100.00 1 |
|
Regformer-3 | | | 99.73 26 | 99.65 31 | 99.96 35 | 100.00 1 | 99.89 48 | 100.00 1 | 99.44 106 | 98.40 52 | 100.00 1 | 100.00 1 | 99.03 85 | 99.97 98 | 99.99 44 | 100.00 1 | 100.00 1 |
|
Regformer-4 | | | 99.73 26 | 99.65 31 | 99.95 46 | 100.00 1 | 99.89 48 | 100.00 1 | 99.44 106 | 98.40 52 | 100.00 1 | 100.00 1 | 99.03 85 | 99.97 98 | 99.99 44 | 100.00 1 | 100.00 1 |
|
1314 | | | 99.38 73 | 99.19 83 | 99.96 35 | 98.88 230 | 99.89 48 | 99.24 302 | 99.93 32 | 98.88 27 | 98.79 202 | 100.00 1 | 97.02 141 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
ACMMPR | | | 99.74 23 | 99.67 27 | 99.96 35 | 100.00 1 | 99.89 48 | 100.00 1 | 99.76 46 | 97.95 89 | 100.00 1 | 100.00 1 | 99.29 61 | 100.00 1 | 99.99 44 | 100.00 1 | 100.00 1 |
|
thres400 | | | 99.26 92 | 99.03 96 | 99.95 46 | 99.81 99 | 99.89 48 | 100.00 1 | 99.94 18 | 97.23 145 | 99.83 124 | 99.96 159 | 97.04 138 | 100.00 1 | 99.59 112 | 97.85 177 | 99.97 95 |
|
test12 | | | | | 99.95 46 | 99.99 45 | 99.89 48 | | 99.42 121 | | 100.00 1 | | 99.24 67 | 99.97 98 | | 100.00 1 | 100.00 1 |
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3Dnovator+ | | 95.58 15 | 99.03 114 | 98.71 133 | 99.96 35 | 98.99 222 | 99.89 48 | 100.00 1 | 99.51 80 | 98.96 21 | 98.32 232 | 100.00 1 | 92.78 210 | 100.00 1 | 99.87 79 | 100.00 1 | 100.00 1 |
|
agg_prior1 | | | 99.71 32 | 99.63 39 | 99.95 46 | 100.00 1 | 99.88 58 | 100.00 1 | 99.42 121 | 97.72 106 | 100.00 1 | 100.00 1 | 99.51 30 | 99.97 98 | 100.00 1 | 100.00 1 | 100.00 1 |
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agg_prior | | | | | | 100.00 1 | 99.88 58 | | 99.42 121 | | 100.00 1 | | | 99.97 98 | | | |
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旧先验1 | | | | | | 99.99 45 | 99.88 58 | | 99.82 41 | | | 100.00 1 | 99.27 65 | | | 100.00 1 | 100.00 1 |
|
tfpn111 | | | 99.24 97 | 99.00 100 | 99.95 46 | 99.81 99 | 99.87 61 | 100.00 1 | 99.94 18 | 97.13 152 | 99.83 124 | 99.96 159 | 97.01 142 | 100.00 1 | 99.54 121 | 97.77 185 | 99.97 95 |
|
conf200view11 | | | 99.25 94 | 99.01 98 | 99.95 46 | 99.81 99 | 99.87 61 | 100.00 1 | 99.94 18 | 97.13 152 | 99.83 124 | 99.96 159 | 97.01 142 | 100.00 1 | 99.59 112 | 97.85 177 | 99.97 95 |
|
thres100view900 | | | 99.25 94 | 99.01 98 | 99.95 46 | 99.81 99 | 99.87 61 | 100.00 1 | 99.94 18 | 97.13 152 | 99.83 124 | 99.96 159 | 97.01 142 | 100.00 1 | 99.59 112 | 97.85 177 | 99.98 90 |
|
thres600view7 | | | 99.24 97 | 99.00 100 | 99.95 46 | 99.81 99 | 99.87 61 | 100.00 1 | 99.94 18 | 97.13 152 | 99.83 124 | 99.96 159 | 97.01 142 | 100.00 1 | 99.54 121 | 97.77 185 | 99.97 95 |
|
QAPM | | | 98.99 122 | 98.66 135 | 99.96 35 | 99.01 215 | 99.87 61 | 99.88 223 | 99.93 32 | 97.99 82 | 98.68 209 | 100.00 1 | 93.17 206 | 100.00 1 | 99.32 141 | 100.00 1 | 100.00 1 |
|
MVS_0304 | | | 98.98 124 | 98.66 135 | 99.94 58 | 99.95 81 | 99.86 66 | 100.00 1 | 99.29 210 | 98.38 55 | 99.81 135 | 100.00 1 | 90.60 248 | 100.00 1 | 100.00 1 | 99.91 104 | 99.95 111 |
|
HSP-MVS | | | 99.81 9 | 99.77 8 | 99.94 58 | 100.00 1 | 99.86 66 | 100.00 1 | 99.42 121 | 98.87 29 | 100.00 1 | 100.00 1 | 99.65 18 | 99.96 113 | 100.00 1 | 100.00 1 | 100.00 1 |
|
AdaColmap | | | 99.44 70 | 99.26 73 | 99.95 46 | 100.00 1 | 99.86 66 | 99.70 261 | 99.99 10 | 98.53 46 | 99.90 116 | 100.00 1 | 95.34 180 | 100.00 1 | 99.92 73 | 100.00 1 | 100.00 1 |
|
PGM-MVS | | | 99.69 39 | 99.61 44 | 99.95 46 | 99.99 45 | 99.85 69 | 100.00 1 | 99.58 73 | 97.69 111 | 100.00 1 | 100.00 1 | 99.44 43 | 100.00 1 | 99.79 90 | 100.00 1 | 100.00 1 |
|
CP-MVS | | | 99.67 45 | 99.58 48 | 99.95 46 | 100.00 1 | 99.84 70 | 100.00 1 | 99.42 121 | 97.77 103 | 100.00 1 | 100.00 1 | 99.07 79 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
tfpn_ndepth | | | 99.52 61 | 99.39 63 | 99.89 74 | 99.90 93 | 99.83 71 | 100.00 1 | 99.72 61 | 97.95 89 | 99.96 87 | 99.98 140 | 99.94 4 | 99.85 146 | 99.17 148 | 97.91 172 | 100.00 1 |
|
view600 | | | 99.18 101 | 98.93 111 | 99.93 61 | 99.81 99 | 99.83 71 | 100.00 1 | 99.94 18 | 96.96 162 | 99.54 156 | 99.96 159 | 96.99 150 | 100.00 1 | 99.43 128 | 97.75 187 | 99.97 95 |
|
view800 | | | 99.18 101 | 98.93 111 | 99.93 61 | 99.81 99 | 99.83 71 | 100.00 1 | 99.94 18 | 96.96 162 | 99.54 156 | 99.96 159 | 96.99 150 | 100.00 1 | 99.43 128 | 97.75 187 | 99.97 95 |
|
conf0.05thres1000 | | | 99.18 101 | 98.93 111 | 99.93 61 | 99.81 99 | 99.83 71 | 100.00 1 | 99.94 18 | 96.96 162 | 99.54 156 | 99.96 159 | 96.99 150 | 100.00 1 | 99.43 128 | 97.75 187 | 99.97 95 |
|
tfpn | | | 99.18 101 | 98.93 111 | 99.93 61 | 99.81 99 | 99.83 71 | 100.00 1 | 99.94 18 | 96.96 162 | 99.54 156 | 99.96 159 | 96.99 150 | 100.00 1 | 99.43 128 | 97.75 187 | 99.97 95 |
|
MVS_111021_HR | | | 99.71 32 | 99.63 39 | 99.93 61 | 99.95 81 | 99.83 71 | 100.00 1 | 100.00 1 | 98.89 26 | 100.00 1 | 100.00 1 | 97.85 125 | 99.95 119 | 100.00 1 | 100.00 1 | 100.00 1 |
|
PS-MVSNAJ | | | 99.64 49 | 99.57 50 | 99.85 84 | 99.78 121 | 99.81 77 | 99.95 206 | 99.42 121 | 98.38 55 | 100.00 1 | 100.00 1 | 98.75 105 | 100.00 1 | 99.88 78 | 99.99 87 | 99.74 185 |
|
OpenMVS | | 95.20 17 | 98.76 138 | 98.41 152 | 99.78 106 | 98.89 229 | 99.81 77 | 99.99 175 | 99.76 46 | 98.02 80 | 98.02 246 | 100.00 1 | 91.44 233 | 100.00 1 | 99.63 110 | 99.97 97 | 99.55 198 |
|
tfpn1000 | | | 99.47 68 | 99.34 71 | 99.87 80 | 99.89 95 | 99.80 79 | 100.00 1 | 99.72 61 | 97.83 98 | 99.96 87 | 99.98 140 | 99.94 4 | 99.82 151 | 98.87 160 | 97.87 175 | 100.00 1 |
|
原ACMM1 | | | | | 99.93 61 | 100.00 1 | 99.80 79 | | 99.66 71 | 98.18 66 | 100.00 1 | 100.00 1 | 99.43 44 | 100.00 1 | 99.50 126 | 100.00 1 | 100.00 1 |
|
HPM-MVS_fast | | | 99.60 57 | 99.49 58 | 99.91 68 | 99.99 45 | 99.78 81 | 100.00 1 | 99.42 121 | 97.09 156 | 100.00 1 | 100.00 1 | 98.95 91 | 99.96 113 | 99.98 58 | 100.00 1 | 100.00 1 |
|
CANet | | | 99.40 71 | 99.24 76 | 99.89 74 | 99.99 45 | 99.76 82 | 100.00 1 | 99.73 55 | 98.40 52 | 99.78 137 | 100.00 1 | 95.28 181 | 99.96 113 | 100.00 1 | 99.99 87 | 99.96 106 |
|
abl_6 | | | 99.53 60 | 99.40 61 | 99.92 67 | 100.00 1 | 99.76 82 | 100.00 1 | 99.42 121 | 97.21 148 | 100.00 1 | 100.00 1 | 98.12 120 | 100.00 1 | 99.82 89 | 100.00 1 | 100.00 1 |
|
test_prior3 | | | 99.81 9 | 99.78 6 | 99.90 71 | 100.00 1 | 99.75 84 | 100.00 1 | 99.73 55 | 98.82 33 | 100.00 1 | 100.00 1 | 99.47 39 | 99.97 98 | 100.00 1 | 100.00 1 | 100.00 1 |
|
test_prior | | | | | 99.90 71 | 100.00 1 | 99.75 84 | | 99.73 55 | | | | | 99.97 98 | | | 100.00 1 |
|
VNet | | | 99.04 113 | 98.75 130 | 99.90 71 | 99.81 99 | 99.75 84 | 99.50 284 | 99.47 83 | 98.36 58 | 100.00 1 | 99.99 139 | 94.66 191 | 100.00 1 | 99.90 75 | 97.09 206 | 99.96 106 |
|
conf0.01 | | | 99.32 79 | 99.16 85 | 99.80 94 | 99.79 115 | 99.73 87 | 100.00 1 | 99.71 63 | 97.66 112 | 99.71 145 | 100.00 1 | 99.78 6 | 99.70 165 | 98.15 192 | 97.67 194 | 99.97 95 |
|
conf0.002 | | | 99.32 79 | 99.16 85 | 99.80 94 | 99.79 115 | 99.73 87 | 100.00 1 | 99.71 63 | 97.66 112 | 99.71 145 | 100.00 1 | 99.78 6 | 99.70 165 | 98.15 192 | 97.67 194 | 99.97 95 |
|
thresconf0.02 | | | 99.32 79 | 99.16 85 | 99.79 98 | 99.79 115 | 99.73 87 | 100.00 1 | 99.71 63 | 97.66 112 | 99.71 145 | 100.00 1 | 99.78 6 | 99.70 165 | 98.15 192 | 97.67 194 | 99.94 115 |
|
tfpn_n400 | | | 99.32 79 | 99.16 85 | 99.79 98 | 99.79 115 | 99.73 87 | 100.00 1 | 99.71 63 | 97.66 112 | 99.71 145 | 100.00 1 | 99.78 6 | 99.70 165 | 98.15 192 | 97.67 194 | 99.94 115 |
|
tfpnconf | | | 99.32 79 | 99.16 85 | 99.79 98 | 99.79 115 | 99.73 87 | 100.00 1 | 99.71 63 | 97.66 112 | 99.71 145 | 100.00 1 | 99.78 6 | 99.70 165 | 98.15 192 | 97.67 194 | 99.94 115 |
|
tfpnview11 | | | 99.32 79 | 99.16 85 | 99.79 98 | 99.79 115 | 99.73 87 | 100.00 1 | 99.71 63 | 97.66 112 | 99.71 145 | 100.00 1 | 99.78 6 | 99.70 165 | 98.15 192 | 97.67 194 | 99.94 115 |
|
xiu_mvs_v2_base | | | 99.51 62 | 99.41 60 | 99.82 88 | 99.70 130 | 99.73 87 | 99.92 214 | 99.40 154 | 98.15 69 | 100.00 1 | 100.00 1 | 98.50 114 | 100.00 1 | 99.85 82 | 99.13 122 | 99.74 185 |
|
CNLPA | | | 99.72 29 | 99.65 31 | 99.91 68 | 99.97 75 | 99.72 94 | 100.00 1 | 99.47 83 | 98.43 49 | 99.88 120 | 100.00 1 | 99.14 77 | 100.00 1 | 99.97 63 | 100.00 1 | 100.00 1 |
|
xiu_mvs_v1_base_debu | | | 99.35 75 | 99.21 79 | 99.79 98 | 99.67 135 | 99.71 95 | 99.78 241 | 99.36 181 | 98.13 71 | 100.00 1 | 100.00 1 | 97.00 147 | 100.00 1 | 99.83 85 | 99.07 124 | 99.66 194 |
|
xiu_mvs_v1_base | | | 99.35 75 | 99.21 79 | 99.79 98 | 99.67 135 | 99.71 95 | 99.78 241 | 99.36 181 | 98.13 71 | 100.00 1 | 100.00 1 | 97.00 147 | 100.00 1 | 99.83 85 | 99.07 124 | 99.66 194 |
|
xiu_mvs_v1_base_debi | | | 99.35 75 | 99.21 79 | 99.79 98 | 99.67 135 | 99.71 95 | 99.78 241 | 99.36 181 | 98.13 71 | 100.00 1 | 100.00 1 | 97.00 147 | 100.00 1 | 99.83 85 | 99.07 124 | 99.66 194 |
|
LS3D | | | 99.31 86 | 99.13 92 | 99.87 80 | 99.99 45 | 99.71 95 | 99.55 279 | 99.46 95 | 97.32 142 | 99.82 133 | 100.00 1 | 96.85 156 | 99.97 98 | 99.14 149 | 100.00 1 | 99.92 126 |
|
HPM-MVS | | | 99.59 58 | 99.50 56 | 99.89 74 | 100.00 1 | 99.70 99 | 100.00 1 | 99.42 121 | 97.46 132 | 100.00 1 | 100.00 1 | 98.60 110 | 99.96 113 | 99.99 44 | 100.00 1 | 100.00 1 |
|
MVS_111021_LR | | | 99.70 36 | 99.65 31 | 99.88 79 | 99.96 80 | 99.70 99 | 100.00 1 | 99.97 14 | 98.96 21 | 100.00 1 | 100.00 1 | 97.93 124 | 99.95 119 | 99.99 44 | 100.00 1 | 100.00 1 |
|
MVSTER | | | 98.58 148 | 98.52 148 | 98.77 181 | 99.65 139 | 99.68 101 | 100.00 1 | 99.29 210 | 95.63 217 | 98.65 211 | 99.80 199 | 99.78 6 | 98.88 236 | 98.59 176 | 95.31 221 | 97.73 253 |
|
ACMMP | | | 99.65 47 | 99.57 50 | 99.89 74 | 99.99 45 | 99.66 102 | 99.75 250 | 99.73 55 | 98.16 67 | 99.75 141 | 100.00 1 | 98.90 97 | 100.00 1 | 99.96 65 | 99.88 107 | 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 |
MAR-MVS | | | 99.49 65 | 99.36 67 | 99.89 74 | 99.97 75 | 99.66 102 | 99.74 251 | 99.95 15 | 97.89 93 | 100.00 1 | 100.00 1 | 96.71 159 | 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 |
EI-MVSNet-UG-set | | | 99.69 39 | 99.63 39 | 99.87 80 | 99.99 45 | 99.64 104 | 99.95 206 | 99.44 106 | 98.35 59 | 100.00 1 | 100.00 1 | 98.98 87 | 99.97 98 | 99.98 58 | 100.00 1 | 100.00 1 |
|
EI-MVSNet-Vis-set | | | 99.70 36 | 99.64 35 | 99.87 80 | 100.00 1 | 99.64 104 | 99.98 191 | 99.44 106 | 98.35 59 | 99.99 75 | 100.00 1 | 99.04 82 | 99.96 113 | 99.98 58 | 100.00 1 | 100.00 1 |
|
PVSNet_BlendedMVS | | | 98.71 141 | 98.62 141 | 98.98 169 | 99.98 71 | 99.60 106 | 100.00 1 | 100.00 1 | 97.23 145 | 100.00 1 | 99.03 270 | 96.57 161 | 99.99 81 | 100.00 1 | 94.75 237 | 97.35 304 |
|
PVSNet_Blended | | | 99.48 67 | 99.36 67 | 99.83 87 | 99.98 71 | 99.60 106 | 100.00 1 | 100.00 1 | 97.79 102 | 100.00 1 | 100.00 1 | 96.57 161 | 99.99 81 | 100.00 1 | 99.88 107 | 99.90 135 |
|
CPTT-MVS | | | 99.49 65 | 99.38 65 | 99.85 84 | 100.00 1 | 99.54 108 | 100.00 1 | 99.42 121 | 97.58 127 | 99.98 80 | 100.00 1 | 97.43 135 | 100.00 1 | 99.99 44 | 100.00 1 | 100.00 1 |
|
nrg030 | | | 97.64 181 | 97.27 188 | 98.75 182 | 98.34 248 | 99.53 109 | 100.00 1 | 99.22 237 | 96.21 204 | 98.27 236 | 99.95 171 | 94.40 193 | 98.98 226 | 99.23 145 | 89.78 290 | 97.75 221 |
|
LFMVS | | | 97.42 187 | 96.62 205 | 99.81 91 | 99.80 113 | 99.50 110 | 99.16 317 | 99.56 74 | 94.48 246 | 100.00 1 | 100.00 1 | 79.35 328 | 100.00 1 | 99.89 77 | 97.37 203 | 99.94 115 |
|
MVS_Test | | | 98.93 129 | 98.65 138 | 99.77 108 | 99.62 146 | 99.50 110 | 99.99 175 | 99.19 244 | 95.52 223 | 99.96 87 | 99.86 185 | 96.54 163 | 99.98 94 | 98.65 171 | 98.48 138 | 99.82 168 |
|
sss | | | 99.45 69 | 99.34 71 | 99.80 94 | 99.76 125 | 99.50 110 | 100.00 1 | 99.91 37 | 97.72 106 | 99.98 80 | 99.94 175 | 98.45 115 | 100.00 1 | 99.53 124 | 98.75 131 | 99.89 140 |
|
GG-mvs-BLEND | | | | | 99.59 123 | 99.54 162 | 99.49 113 | 99.17 316 | 99.52 76 | | 99.96 87 | 99.68 216 | 100.00 1 | 99.33 212 | 99.71 100 | 99.99 87 | 99.96 106 |
|
MVSFormer | | | 98.94 128 | 98.82 123 | 99.28 151 | 99.45 180 | 99.49 113 | 100.00 1 | 99.13 262 | 95.46 228 | 99.97 84 | 100.00 1 | 96.76 157 | 98.59 267 | 98.63 173 | 100.00 1 | 99.74 185 |
|
lupinMVS | | | 99.29 88 | 99.16 85 | 99.69 113 | 99.45 180 | 99.49 113 | 100.00 1 | 99.15 253 | 97.45 133 | 99.97 84 | 100.00 1 | 96.76 157 | 99.76 158 | 99.67 106 | 100.00 1 | 99.81 170 |
|
PVSNet_Blended_VisFu | | | 99.33 78 | 99.18 84 | 99.78 106 | 99.82 98 | 99.49 113 | 100.00 1 | 99.95 15 | 97.36 138 | 99.63 154 | 100.00 1 | 96.45 165 | 99.95 119 | 99.79 90 | 99.65 117 | 99.89 140 |
|
114514_t | | | 99.39 72 | 99.25 74 | 99.81 91 | 99.97 75 | 99.48 117 | 100.00 1 | 99.42 121 | 95.53 221 | 100.00 1 | 100.00 1 | 98.37 117 | 99.95 119 | 99.97 63 | 100.00 1 | 100.00 1 |
|
diffmvs | | | 98.52 154 | 98.11 164 | 99.73 111 | 99.59 153 | 99.47 118 | 100.00 1 | 99.19 244 | 93.68 268 | 99.70 151 | 99.75 202 | 95.07 185 | 99.84 147 | 97.57 214 | 98.48 138 | 99.89 140 |
|
DELS-MVS | | | 99.62 52 | 99.56 53 | 99.82 88 | 99.92 90 | 99.45 119 | 100.00 1 | 99.78 44 | 98.92 25 | 99.73 142 | 100.00 1 | 97.70 128 | 100.00 1 | 99.93 72 | 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 |
DP-MVS | | | 98.86 133 | 98.54 147 | 99.81 91 | 99.97 75 | 99.45 119 | 99.52 282 | 99.40 154 | 94.35 249 | 98.36 229 | 100.00 1 | 96.13 168 | 99.97 98 | 99.12 151 | 100.00 1 | 100.00 1 |
|
PHI-MVS | | | 99.50 63 | 99.39 63 | 99.82 88 | 100.00 1 | 99.45 119 | 100.00 1 | 99.94 18 | 96.38 198 | 100.00 1 | 100.00 1 | 98.18 119 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
UA-Net | | | 99.06 111 | 98.83 122 | 99.74 109 | 99.52 170 | 99.40 122 | 99.08 323 | 99.45 97 | 97.64 121 | 99.83 124 | 100.00 1 | 95.80 172 | 99.94 130 | 98.35 184 | 99.80 113 | 99.88 152 |
|
TESTMET0.1,1 | | | 99.08 109 | 98.96 105 | 99.44 135 | 99.63 144 | 99.38 123 | 100.00 1 | 99.45 97 | 95.53 221 | 99.48 163 | 100.00 1 | 99.71 16 | 99.02 222 | 96.84 234 | 99.99 87 | 99.91 127 |
|
IS-MVSNet | | | 99.08 109 | 98.91 116 | 99.59 123 | 99.65 139 | 99.38 123 | 99.78 241 | 99.24 232 | 96.70 177 | 99.51 161 | 100.00 1 | 98.44 116 | 99.52 195 | 98.47 180 | 98.39 146 | 99.88 152 |
|
API-MVS | | | 99.72 29 | 99.70 17 | 99.79 98 | 99.97 75 | 99.37 125 | 99.96 200 | 99.94 18 | 98.48 47 | 100.00 1 | 100.00 1 | 98.92 95 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
gg-mvs-nofinetune | | | 96.95 207 | 96.10 228 | 99.50 133 | 99.41 184 | 99.36 126 | 99.07 325 | 99.52 76 | 83.69 333 | 99.96 87 | 83.60 350 | 100.00 1 | 99.20 215 | 99.68 104 | 99.99 87 | 99.96 106 |
|
VPA-MVSNet | | | 97.03 204 | 96.43 212 | 98.82 178 | 98.64 238 | 99.32 127 | 99.38 292 | 99.47 83 | 96.73 175 | 98.91 194 | 98.94 281 | 87.00 289 | 99.40 207 | 99.23 145 | 89.59 291 | 97.76 217 |
|
jason | | | 99.11 107 | 98.96 105 | 99.59 123 | 99.17 201 | 99.31 128 | 100.00 1 | 99.13 262 | 97.38 137 | 99.83 124 | 100.00 1 | 95.54 179 | 99.72 163 | 99.57 117 | 99.97 97 | 99.74 185 |
jason: jason. |
PatchMatch-RL | | | 99.02 118 | 98.78 127 | 99.74 109 | 99.99 45 | 99.29 129 | 100.00 1 | 100.00 1 | 98.38 55 | 99.89 119 | 99.81 196 | 93.14 207 | 99.99 81 | 97.85 207 | 99.98 94 | 99.95 111 |
|
test-LLR | | | 99.03 114 | 98.91 116 | 99.40 140 | 99.40 188 | 99.28 130 | 100.00 1 | 99.45 97 | 96.70 177 | 99.42 166 | 99.12 256 | 99.31 54 | 99.01 223 | 96.82 235 | 99.99 87 | 99.91 127 |
|
test-mter | | | 98.96 126 | 98.82 123 | 99.40 140 | 99.40 188 | 99.28 130 | 100.00 1 | 99.45 97 | 95.44 230 | 99.42 166 | 99.12 256 | 99.70 17 | 99.01 223 | 96.82 235 | 99.99 87 | 99.91 127 |
|
Effi-MVS+ | | | 98.58 148 | 98.24 159 | 99.61 117 | 99.60 150 | 99.26 132 | 97.85 339 | 99.10 270 | 96.22 203 | 99.97 84 | 99.89 181 | 93.75 198 | 99.77 157 | 99.43 128 | 98.34 151 | 99.81 170 |
|
HyFIR lowres test | | | 99.32 79 | 99.24 76 | 99.58 127 | 99.95 81 | 99.26 132 | 100.00 1 | 99.99 10 | 96.72 176 | 99.29 173 | 99.91 179 | 99.49 36 | 99.47 201 | 99.74 98 | 98.08 166 | 100.00 1 |
|
FMVSNet3 | | | 97.30 191 | 96.95 193 | 98.37 196 | 99.65 139 | 99.25 134 | 99.71 259 | 99.28 218 | 94.23 251 | 98.53 221 | 98.91 283 | 93.30 204 | 98.11 291 | 95.31 256 | 93.60 246 | 97.73 253 |
|
MSDG | | | 98.90 131 | 98.63 140 | 99.70 112 | 99.92 90 | 99.25 134 | 100.00 1 | 99.37 175 | 95.71 215 | 99.40 170 | 100.00 1 | 96.58 160 | 99.95 119 | 96.80 237 | 99.94 102 | 99.91 127 |
|
FIs | | | 97.95 175 | 97.73 179 | 98.62 186 | 98.53 243 | 99.24 136 | 100.00 1 | 99.43 115 | 96.74 173 | 97.87 252 | 99.82 193 | 95.27 182 | 98.89 233 | 98.78 164 | 93.07 252 | 97.74 243 |
|
mvs_anonymous | | | 98.80 137 | 98.60 143 | 99.38 143 | 99.57 159 | 99.24 136 | 100.00 1 | 99.21 241 | 95.87 209 | 98.92 192 | 99.82 193 | 96.39 166 | 99.03 221 | 99.13 150 | 98.50 136 | 99.88 152 |
|
MDTV_nov1_ep13_2view | | | | | | | 99.24 136 | 99.56 278 | | 96.31 201 | 99.96 87 | | 98.86 99 | | 98.92 157 | | 99.89 140 |
|
EPMVS | | | 99.25 94 | 99.13 92 | 99.60 120 | 99.60 150 | 99.20 139 | 99.60 275 | 100.00 1 | 96.93 167 | 99.92 114 | 99.36 247 | 99.05 81 | 99.71 164 | 98.77 165 | 98.94 128 | 99.90 135 |
|
BH-RMVSNet | | | 98.46 157 | 98.08 166 | 99.59 123 | 99.61 148 | 99.19 140 | 100.00 1 | 99.28 218 | 97.06 160 | 98.95 191 | 100.00 1 | 88.99 271 | 99.82 151 | 98.83 163 | 100.00 1 | 99.77 178 |
|
DI_MVS_plusplus_test | | | 96.28 241 | 95.16 264 | 99.61 117 | 96.01 318 | 99.18 141 | 100.00 1 | 99.29 210 | 96.49 192 | 89.08 315 | 98.42 304 | 80.06 323 | 99.90 136 | 98.74 167 | 98.39 146 | 99.75 181 |
|
test_normal | | | 96.24 242 | 95.12 266 | 99.60 120 | 96.00 319 | 99.16 142 | 100.00 1 | 99.29 210 | 96.43 193 | 88.96 318 | 98.40 305 | 80.06 323 | 99.90 136 | 98.53 177 | 98.39 146 | 99.75 181 |
|
UniMVSNet (Re) | | | 97.29 192 | 96.85 197 | 98.59 189 | 98.49 244 | 99.13 143 | 100.00 1 | 99.42 121 | 96.52 190 | 98.24 239 | 98.90 284 | 94.93 188 | 98.89 233 | 97.54 217 | 87.61 308 | 97.75 221 |
|
WR-MVS | | | 97.09 199 | 96.64 203 | 98.46 190 | 98.43 245 | 99.09 144 | 99.97 197 | 99.33 196 | 95.62 218 | 97.76 254 | 99.67 217 | 91.17 238 | 98.56 271 | 98.49 179 | 89.28 294 | 97.74 243 |
|
F-COLMAP | | | 99.64 49 | 99.64 35 | 99.67 114 | 99.99 45 | 99.07 145 | 100.00 1 | 99.44 106 | 98.30 63 | 99.90 116 | 100.00 1 | 99.18 73 | 99.99 81 | 99.91 74 | 100.00 1 | 99.94 115 |
|
Fast-Effi-MVS+ | | | 98.40 161 | 98.02 170 | 99.55 130 | 99.63 144 | 99.06 146 | 100.00 1 | 99.15 253 | 95.07 232 | 99.42 166 | 99.95 171 | 93.26 205 | 99.73 161 | 97.44 219 | 98.24 157 | 99.87 159 |
|
FC-MVSNet-test | | | 97.84 176 | 97.63 181 | 98.45 191 | 98.30 252 | 99.05 147 | 100.00 1 | 99.43 115 | 96.63 184 | 97.61 261 | 99.82 193 | 95.19 184 | 98.57 270 | 98.64 172 | 93.05 253 | 97.73 253 |
|
DeepC-MVS | | 97.84 5 | 99.00 120 | 98.80 126 | 99.60 120 | 99.93 87 | 99.03 148 | 100.00 1 | 99.40 154 | 98.61 44 | 99.33 171 | 100.00 1 | 92.23 215 | 99.95 119 | 99.74 98 | 99.96 99 | 99.83 165 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
Test4 | | | 92.63 292 | 90.45 303 | 99.17 158 | 92.81 329 | 99.02 149 | 99.98 191 | 99.13 262 | 96.60 185 | 82.04 338 | 96.27 317 | 51.35 347 | 98.75 251 | 97.55 215 | 98.36 150 | 99.75 181 |
|
cascas | | | 98.43 158 | 98.07 167 | 99.50 133 | 99.65 139 | 99.02 149 | 100.00 1 | 99.22 237 | 94.21 253 | 99.72 143 | 99.98 140 | 92.03 218 | 99.93 132 | 99.68 104 | 98.12 164 | 99.54 199 |
|
PCF-MVS | | 98.23 3 | 98.69 144 | 98.37 155 | 99.62 116 | 99.78 121 | 99.02 149 | 99.23 308 | 99.06 291 | 96.43 193 | 98.08 241 | 100.00 1 | 94.72 190 | 99.95 119 | 98.16 191 | 99.91 104 | 99.90 135 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
EPNet_dtu | | | 98.53 153 | 98.23 161 | 99.43 137 | 99.92 90 | 99.01 152 | 99.96 200 | 99.47 83 | 98.80 35 | 99.96 87 | 99.96 159 | 98.56 112 | 99.30 213 | 87.78 319 | 99.68 115 | 100.00 1 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
ab-mvs | | | 98.42 159 | 98.02 170 | 99.61 117 | 99.71 129 | 99.00 153 | 99.10 321 | 99.64 72 | 96.70 177 | 99.04 188 | 99.81 196 | 90.64 247 | 99.98 94 | 99.64 109 | 97.93 171 | 99.84 162 |
|
NR-MVSNet | | | 96.63 223 | 96.04 231 | 98.38 195 | 98.31 250 | 98.98 154 | 99.22 310 | 99.35 189 | 95.87 209 | 94.43 300 | 99.65 220 | 92.73 211 | 98.40 280 | 96.78 238 | 88.05 305 | 97.75 221 |
|
PMMVS | | | 99.12 106 | 98.97 104 | 99.58 127 | 99.57 159 | 98.98 154 | 100.00 1 | 99.30 206 | 97.14 151 | 99.96 87 | 100.00 1 | 96.53 164 | 99.82 151 | 99.70 102 | 98.49 137 | 99.94 115 |
|
testdata | | | | | 99.66 115 | 99.99 45 | 98.97 156 | | 99.73 55 | 97.96 88 | 100.00 1 | 100.00 1 | 99.42 45 | 100.00 1 | 99.28 143 | 100.00 1 | 100.00 1 |
|
XXY-MVS | | | 97.14 198 | 96.63 204 | 98.67 184 | 98.65 237 | 98.92 157 | 99.54 280 | 99.29 210 | 95.57 220 | 97.63 259 | 99.83 190 | 87.79 282 | 99.35 211 | 98.39 182 | 92.95 254 | 97.75 221 |
|
Vis-MVSNet (Re-imp) | | | 98.99 122 | 98.89 120 | 99.29 150 | 99.64 143 | 98.89 158 | 99.98 191 | 99.31 204 | 96.74 173 | 99.48 163 | 100.00 1 | 98.11 121 | 99.10 218 | 98.39 182 | 98.34 151 | 99.89 140 |
|
CR-MVSNet | | | 98.02 173 | 97.71 180 | 98.93 171 | 99.31 195 | 98.86 159 | 99.13 319 | 99.00 298 | 96.53 189 | 99.96 87 | 98.98 276 | 96.94 154 | 98.10 294 | 91.18 297 | 98.40 144 | 99.84 162 |
|
RPMNet | | | 95.10 271 | 93.82 274 | 98.93 171 | 99.31 195 | 98.86 159 | 99.13 319 | 99.38 172 | 79.82 338 | 99.96 87 | 95.13 333 | 95.69 177 | 98.10 294 | 77.54 338 | 98.40 144 | 99.84 162 |
|
PLC | | 98.56 2 | 99.70 36 | 99.74 13 | 99.58 127 | 100.00 1 | 98.79 161 | 100.00 1 | 99.54 75 | 98.58 45 | 99.96 87 | 100.00 1 | 99.59 21 | 100.00 1 | 100.00 1 | 100.00 1 | 99.94 115 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
Test_1112_low_res | | | 98.83 135 | 98.60 143 | 99.51 131 | 99.69 131 | 98.75 162 | 99.99 175 | 99.14 257 | 96.81 170 | 98.84 199 | 99.06 260 | 97.45 133 | 99.89 138 | 98.66 169 | 97.75 187 | 99.89 140 |
|
1112_ss | | | 98.91 130 | 98.71 133 | 99.51 131 | 99.69 131 | 98.75 162 | 99.99 175 | 99.15 253 | 96.82 169 | 98.84 199 | 100.00 1 | 97.45 133 | 99.89 138 | 98.66 169 | 97.75 187 | 99.89 140 |
|
tfpnnormal | | | 96.36 236 | 95.69 248 | 98.37 196 | 98.55 241 | 98.71 164 | 99.69 265 | 99.45 97 | 93.16 283 | 96.69 283 | 99.71 206 | 88.44 279 | 98.99 225 | 94.17 273 | 91.38 268 | 97.41 301 |
|
CANet_DTU | | | 99.02 118 | 98.90 119 | 99.41 139 | 99.88 96 | 98.71 164 | 100.00 1 | 99.29 210 | 98.84 30 | 100.00 1 | 100.00 1 | 94.02 196 | 100.00 1 | 98.08 199 | 99.96 99 | 99.52 200 |
|
EPP-MVSNet | | | 99.10 108 | 99.00 100 | 99.40 140 | 99.51 173 | 98.68 166 | 99.92 214 | 99.43 115 | 95.47 227 | 99.65 153 | 100.00 1 | 99.51 30 | 99.76 158 | 99.53 124 | 98.00 168 | 99.75 181 |
|
CP-MVSNet | | | 96.73 215 | 96.25 220 | 98.18 215 | 98.21 257 | 98.67 167 | 99.77 245 | 99.32 199 | 95.06 233 | 97.20 272 | 99.65 220 | 90.10 255 | 98.19 285 | 98.06 201 | 88.90 298 | 97.66 279 |
|
pmmvs4 | | | 97.17 195 | 96.80 198 | 98.27 205 | 97.68 291 | 98.64 168 | 100.00 1 | 99.18 248 | 94.22 252 | 98.55 219 | 99.71 206 | 93.67 199 | 98.47 277 | 95.66 250 | 92.57 257 | 97.71 265 |
|
JIA-IIPM | | | 97.09 199 | 96.34 214 | 99.36 144 | 98.88 230 | 98.59 169 | 99.81 236 | 99.43 115 | 84.81 330 | 99.96 87 | 90.34 342 | 98.55 113 | 99.52 195 | 97.00 229 | 98.28 156 | 99.98 90 |
|
testing_2 | | | 90.79 303 | 88.26 309 | 98.35 198 | 89.11 336 | 98.56 170 | 99.70 261 | 99.14 257 | 93.70 266 | 73.80 341 | 94.06 337 | 55.19 344 | 98.76 250 | 97.17 225 | 92.50 258 | 97.74 243 |
|
Patchmtry | | | 96.81 209 | 96.37 213 | 98.14 218 | 99.31 195 | 98.55 171 | 98.91 328 | 99.00 298 | 90.45 302 | 97.92 250 | 98.98 276 | 96.94 154 | 98.12 289 | 94.27 272 | 91.53 266 | 97.75 221 |
|
UGNet | | | 98.41 160 | 98.11 164 | 99.31 149 | 99.54 162 | 98.55 171 | 99.18 311 | 100.00 1 | 98.64 43 | 99.79 136 | 99.04 265 | 87.61 283 | 100.00 1 | 99.30 142 | 99.89 106 | 99.40 203 |
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 |
Vis-MVSNet | | | 98.52 154 | 98.25 158 | 99.34 146 | 99.68 134 | 98.55 171 | 99.68 267 | 99.41 152 | 97.34 141 | 99.94 108 | 100.00 1 | 90.38 253 | 99.70 165 | 99.03 154 | 98.84 129 | 99.76 180 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
UniMVSNet_NR-MVSNet | | | 97.16 196 | 96.80 198 | 98.22 212 | 98.38 247 | 98.41 174 | 100.00 1 | 99.45 97 | 96.14 205 | 97.76 254 | 99.64 224 | 95.05 186 | 98.50 274 | 97.98 202 | 86.84 311 | 97.75 221 |
|
DU-MVS | | | 96.93 208 | 96.49 209 | 98.22 212 | 98.31 250 | 98.41 174 | 100.00 1 | 99.37 175 | 96.41 196 | 97.76 254 | 99.65 220 | 92.14 216 | 98.50 274 | 97.98 202 | 86.84 311 | 97.75 221 |
|
v2v482 | | | 96.70 217 | 96.18 221 | 98.27 205 | 98.04 277 | 98.39 176 | 100.00 1 | 99.13 262 | 94.19 254 | 98.58 218 | 99.08 259 | 90.48 251 | 98.67 260 | 95.69 249 | 90.44 279 | 97.75 221 |
|
ADS-MVSNet | | | 98.70 143 | 98.51 149 | 99.28 151 | 99.51 173 | 98.39 176 | 99.24 302 | 99.44 106 | 95.52 223 | 99.96 87 | 99.70 209 | 97.57 131 | 99.58 177 | 97.11 227 | 98.54 134 | 99.88 152 |
|
PatchT | | | 95.90 257 | 94.95 270 | 98.75 182 | 99.03 213 | 98.39 176 | 99.08 323 | 99.32 199 | 85.52 326 | 99.96 87 | 94.99 335 | 97.94 123 | 98.05 300 | 80.20 332 | 98.47 140 | 99.81 170 |
|
EPNet | | | 99.62 52 | 99.69 18 | 99.42 138 | 99.99 45 | 98.37 179 | 100.00 1 | 99.89 38 | 98.83 31 | 100.00 1 | 100.00 1 | 98.97 88 | 100.00 1 | 99.90 75 | 99.61 118 | 99.89 140 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
MDTV_nov1_ep13 | | | | 98.94 110 | | 99.53 165 | 98.36 180 | 99.39 291 | 99.46 95 | 96.54 188 | 99.99 75 | 99.63 228 | 98.92 95 | 99.86 142 | 98.30 187 | 98.71 132 | |
|
CDS-MVSNet | | | 98.96 126 | 98.95 109 | 99.01 166 | 99.48 179 | 98.36 180 | 99.93 212 | 99.37 175 | 96.79 171 | 99.31 172 | 99.83 190 | 99.77 13 | 98.91 230 | 98.07 200 | 97.98 169 | 99.77 178 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
v1 | | | 96.66 219 | 96.12 226 | 98.30 202 | 98.09 269 | 98.33 182 | 100.00 1 | 99.09 273 | 93.69 267 | 98.68 209 | 99.04 265 | 91.42 234 | 98.83 240 | 95.05 261 | 89.99 285 | 97.75 221 |
|
FMVSNet2 | | | 96.22 243 | 95.60 250 | 98.06 228 | 99.53 165 | 98.33 182 | 99.45 286 | 99.27 225 | 93.71 262 | 98.03 244 | 98.84 286 | 84.23 306 | 98.10 294 | 93.97 278 | 93.40 249 | 97.73 253 |
|
PatchmatchNet | | | 99.03 114 | 98.96 105 | 99.26 153 | 99.49 178 | 98.33 182 | 99.38 292 | 99.45 97 | 96.64 182 | 99.96 87 | 99.58 233 | 99.49 36 | 99.50 198 | 97.63 212 | 99.00 127 | 99.93 124 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
PVSNet | | 94.91 18 | 99.30 87 | 99.25 74 | 99.44 135 | 100.00 1 | 98.32 185 | 100.00 1 | 99.86 39 | 98.04 79 | 100.00 1 | 100.00 1 | 96.10 169 | 100.00 1 | 99.55 118 | 99.73 114 | 100.00 1 |
|
VPNet | | | 96.41 232 | 95.76 243 | 98.33 200 | 98.61 239 | 98.30 186 | 99.48 285 | 99.45 97 | 96.98 161 | 98.87 196 | 99.88 182 | 81.57 318 | 98.93 228 | 99.22 147 | 87.82 307 | 97.76 217 |
|
v1141 | | | 96.66 219 | 96.12 226 | 98.26 207 | 98.05 275 | 98.28 187 | 100.00 1 | 99.09 273 | 93.71 262 | 98.59 216 | 99.04 265 | 91.57 227 | 98.73 252 | 95.05 261 | 90.00 284 | 97.75 221 |
|
TR-MVS | | | 98.14 169 | 97.74 177 | 99.33 147 | 99.59 153 | 98.28 187 | 99.27 299 | 99.21 241 | 96.42 195 | 99.15 181 | 99.94 175 | 88.87 273 | 99.79 156 | 98.88 159 | 98.29 154 | 99.93 124 |
|
divwei89l23v2f112 | | | 96.68 218 | 96.15 224 | 98.25 211 | 98.03 278 | 98.27 189 | 100.00 1 | 99.09 273 | 93.79 261 | 98.59 216 | 99.04 265 | 91.54 229 | 98.73 252 | 95.29 259 | 89.99 285 | 97.75 221 |
|
v6 | | | 96.77 210 | 96.26 219 | 98.29 203 | 98.10 268 | 98.27 189 | 100.00 1 | 99.09 273 | 93.95 257 | 98.73 206 | 99.06 260 | 91.51 230 | 98.86 238 | 95.83 244 | 90.04 281 | 97.74 243 |
|
PS-CasMVS | | | 96.34 238 | 95.78 242 | 98.03 230 | 98.18 259 | 98.27 189 | 99.71 259 | 99.32 199 | 94.75 237 | 96.82 281 | 99.65 220 | 86.98 290 | 98.15 287 | 97.74 209 | 88.85 299 | 97.66 279 |
|
v18 | | | 93.55 279 | 92.42 287 | 96.91 271 | 98.12 265 | 98.26 192 | 99.83 229 | 98.74 307 | 89.99 307 | 88.94 319 | 95.64 322 | 92.02 219 | 96.54 311 | 90.27 307 | 78.26 331 | 95.94 325 |
|
Patchmatch-test1 | | | 98.23 168 | 97.91 173 | 99.17 158 | 99.41 184 | 98.25 193 | 99.99 175 | 99.45 97 | 96.91 168 | 99.76 140 | 99.69 211 | 89.65 263 | 99.37 209 | 97.55 215 | 98.79 130 | 99.89 140 |
|
v1neww | | | 96.77 210 | 96.27 217 | 98.26 207 | 98.16 262 | 98.23 194 | 100.00 1 | 99.09 273 | 93.94 258 | 98.73 206 | 99.05 262 | 91.65 223 | 98.82 241 | 95.75 246 | 90.04 281 | 97.74 243 |
|
v7new | | | 96.77 210 | 96.27 217 | 98.26 207 | 98.16 262 | 98.23 194 | 100.00 1 | 99.09 273 | 93.94 258 | 98.73 206 | 99.05 262 | 91.65 223 | 98.82 241 | 95.75 246 | 90.04 281 | 97.74 243 |
|
v8 | | | 96.35 237 | 95.73 245 | 98.21 214 | 98.11 267 | 98.23 194 | 99.94 210 | 99.07 283 | 92.66 287 | 98.29 234 | 99.00 275 | 91.46 232 | 98.77 248 | 94.17 273 | 88.83 300 | 97.62 289 |
|
V42 | | | 96.65 221 | 96.16 223 | 98.11 224 | 98.17 261 | 98.23 194 | 99.99 175 | 99.09 273 | 93.97 255 | 98.74 205 | 99.05 262 | 91.09 243 | 98.82 241 | 95.46 254 | 89.90 288 | 97.27 307 |
|
v15 | | | 93.28 284 | 92.08 290 | 96.87 277 | 98.07 273 | 98.22 198 | 99.82 234 | 98.74 307 | 89.83 310 | 88.74 322 | 95.44 327 | 91.55 228 | 96.47 315 | 89.70 310 | 76.87 335 | 95.93 326 |
|
V14 | | | 93.24 285 | 92.04 291 | 96.87 277 | 98.07 273 | 98.20 199 | 99.80 239 | 98.74 307 | 89.76 312 | 88.64 323 | 95.53 324 | 91.47 231 | 96.47 315 | 89.49 312 | 76.84 336 | 95.92 327 |
|
v16 | | | 93.48 282 | 92.34 289 | 96.89 272 | 98.13 264 | 98.19 200 | 99.82 234 | 98.74 307 | 89.94 309 | 88.90 320 | 95.62 323 | 91.65 223 | 96.54 311 | 90.03 309 | 78.22 332 | 95.95 323 |
|
v11 | | | 93.14 289 | 91.93 296 | 96.77 285 | 98.01 279 | 98.17 201 | 99.72 257 | 98.74 307 | 89.39 317 | 88.81 321 | 95.49 326 | 91.15 239 | 96.29 322 | 86.78 321 | 79.25 328 | 95.86 332 |
|
v17 | | | 93.53 280 | 92.42 287 | 96.88 276 | 98.09 269 | 98.16 202 | 99.83 229 | 98.74 307 | 89.95 308 | 89.05 316 | 95.65 321 | 91.99 221 | 96.54 311 | 90.31 306 | 78.15 333 | 95.95 323 |
|
V9 | | | 93.20 286 | 91.99 293 | 96.85 279 | 98.05 275 | 98.16 202 | 99.77 245 | 98.73 313 | 89.67 313 | 88.64 323 | 95.44 327 | 91.34 235 | 96.47 315 | 89.46 313 | 76.79 337 | 95.92 327 |
|
v1192 | | | 96.18 245 | 95.49 254 | 98.26 207 | 98.01 279 | 98.15 204 | 99.99 175 | 99.08 281 | 93.36 278 | 98.54 220 | 98.97 279 | 89.47 266 | 98.89 233 | 91.15 298 | 90.82 273 | 97.75 221 |
|
v13 | | | 93.18 287 | 91.97 294 | 96.81 282 | 98.12 265 | 98.12 205 | 99.74 251 | 98.73 313 | 89.47 315 | 88.52 325 | 95.40 331 | 91.72 222 | 96.41 318 | 89.23 318 | 76.77 338 | 95.92 327 |
|
v144192 | | | 96.40 234 | 95.81 239 | 98.17 216 | 97.89 286 | 98.11 206 | 99.99 175 | 99.06 291 | 93.39 277 | 98.75 204 | 99.09 258 | 90.43 252 | 98.66 261 | 93.10 286 | 90.55 278 | 97.75 221 |
|
v12 | | | 93.18 287 | 91.97 294 | 96.80 283 | 98.09 269 | 98.10 207 | 99.76 248 | 98.73 313 | 89.61 314 | 88.45 326 | 95.41 330 | 91.63 226 | 96.39 320 | 89.32 315 | 76.76 339 | 95.91 330 |
|
IB-MVS | | 96.24 12 | 97.54 186 | 96.95 193 | 99.33 147 | 99.67 135 | 98.10 207 | 100.00 1 | 99.47 83 | 97.42 136 | 99.26 174 | 99.69 211 | 98.83 100 | 99.89 138 | 99.43 128 | 78.77 330 | 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 |
test0.0.03 1 | | | 98.12 170 | 98.03 169 | 98.39 194 | 99.11 203 | 98.07 209 | 100.00 1 | 99.93 32 | 96.70 177 | 96.91 278 | 99.95 171 | 99.31 54 | 98.19 285 | 91.93 294 | 98.44 141 | 98.91 205 |
|
anonymousdsp | | | 97.16 196 | 96.88 195 | 98.00 231 | 97.08 311 | 98.06 210 | 99.81 236 | 99.15 253 | 94.58 242 | 97.84 253 | 99.62 230 | 90.49 250 | 98.60 265 | 97.98 202 | 95.32 220 | 97.33 306 |
|
TSAR-MVS + GP. | | | 99.61 54 | 99.69 18 | 99.35 145 | 99.99 45 | 98.06 210 | 100.00 1 | 99.36 181 | 99.83 2 | 100.00 1 | 100.00 1 | 98.95 91 | 99.99 81 | 100.00 1 | 99.11 123 | 100.00 1 |
|
v1144 | | | 96.51 228 | 95.97 235 | 98.13 221 | 97.98 282 | 98.04 212 | 99.99 175 | 99.08 281 | 93.51 275 | 98.62 214 | 98.98 276 | 90.98 246 | 98.62 262 | 93.79 280 | 90.79 275 | 97.74 243 |
|
test_djsdf | | | 97.55 185 | 97.38 185 | 98.07 225 | 97.50 300 | 97.99 213 | 100.00 1 | 99.13 262 | 95.46 228 | 98.47 226 | 99.85 187 | 92.01 220 | 98.59 267 | 98.63 173 | 95.36 219 | 97.62 289 |
|
DWT-MVSNet_test | | | 99.22 99 | 99.22 78 | 99.22 156 | 99.56 161 | 97.98 214 | 99.89 220 | 99.39 168 | 97.20 149 | 99.96 87 | 100.00 1 | 99.52 28 | 99.82 151 | 99.11 152 | 98.34 151 | 99.87 159 |
|
v7 | | | 96.64 222 | 96.14 225 | 98.13 221 | 98.18 259 | 97.97 215 | 99.99 175 | 99.09 273 | 93.62 272 | 98.76 203 | 99.30 250 | 91.13 240 | 98.70 257 | 94.37 270 | 90.80 274 | 97.74 243 |
|
v1921920 | | | 96.16 247 | 95.50 252 | 98.14 218 | 97.88 287 | 97.96 216 | 99.99 175 | 99.07 283 | 93.33 279 | 98.60 215 | 99.24 253 | 89.37 267 | 98.71 256 | 91.28 296 | 90.74 276 | 97.75 221 |
|
v10 | | | 96.14 249 | 95.50 252 | 98.07 225 | 98.19 258 | 97.96 216 | 99.83 229 | 99.07 283 | 92.10 291 | 98.07 243 | 98.94 281 | 91.07 244 | 98.61 263 | 92.41 293 | 89.82 289 | 97.63 287 |
|
GA-MVS | | | 97.72 179 | 97.27 188 | 99.06 161 | 99.24 200 | 97.93 218 | 100.00 1 | 99.24 232 | 95.80 214 | 98.99 190 | 99.64 224 | 89.77 261 | 99.36 210 | 95.12 260 | 97.62 201 | 99.89 140 |
|
tpmvs | | | 98.59 147 | 98.38 154 | 99.23 155 | 99.69 131 | 97.90 219 | 99.31 297 | 99.47 83 | 94.52 244 | 99.68 152 | 99.28 252 | 97.64 129 | 99.89 138 | 97.71 210 | 98.17 162 | 99.89 140 |
|
IterMVS-LS | | | 97.56 184 | 97.44 182 | 97.92 238 | 99.38 192 | 97.90 219 | 99.89 220 | 99.10 270 | 94.41 247 | 98.32 232 | 99.54 238 | 97.21 136 | 98.11 291 | 97.50 218 | 91.62 265 | 97.75 221 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
TransMVSNet (Re) | | | 94.78 272 | 93.72 275 | 97.93 237 | 98.34 248 | 97.88 221 | 99.23 308 | 97.98 330 | 91.60 295 | 94.55 298 | 99.71 206 | 87.89 280 | 98.36 281 | 89.30 316 | 84.92 318 | 97.56 295 |
|
WR-MVS_H | | | 96.73 215 | 96.32 216 | 97.95 234 | 98.26 254 | 97.88 221 | 99.72 257 | 99.43 115 | 95.06 233 | 96.99 275 | 98.68 293 | 93.02 208 | 98.53 272 | 97.43 220 | 88.33 304 | 97.43 300 |
|
v1240 | | | 95.96 255 | 95.25 262 | 98.07 225 | 97.91 285 | 97.87 223 | 99.96 200 | 99.07 283 | 93.24 281 | 98.64 213 | 98.96 280 | 88.98 272 | 98.61 263 | 89.58 311 | 90.92 272 | 97.75 221 |
|
PatchFormer-LS_test | | | 99.14 105 | 99.12 94 | 99.19 157 | 99.54 162 | 97.86 224 | 99.66 270 | 99.40 154 | 96.94 166 | 99.96 87 | 100.00 1 | 99.29 61 | 99.84 147 | 98.96 155 | 98.29 154 | 99.88 152 |
|
EI-MVSNet | | | 97.98 174 | 97.93 172 | 98.16 217 | 99.11 203 | 97.84 225 | 99.74 251 | 99.29 210 | 94.39 248 | 98.65 211 | 100.00 1 | 97.21 136 | 98.88 236 | 97.62 213 | 95.31 221 | 97.75 221 |
|
CHOSEN 1792x2688 | | | 99.00 120 | 98.91 116 | 99.25 154 | 99.90 93 | 97.79 226 | 100.00 1 | 99.99 10 | 98.79 36 | 98.28 235 | 100.00 1 | 93.63 200 | 99.95 119 | 99.66 108 | 99.95 101 | 100.00 1 |
|
tpmrst | | | 98.98 124 | 98.93 111 | 99.14 160 | 99.61 148 | 97.74 227 | 99.52 282 | 99.36 181 | 96.05 206 | 99.98 80 | 99.64 224 | 99.04 82 | 99.86 142 | 98.94 156 | 98.19 161 | 99.82 168 |
|
TAMVS | | | 98.76 138 | 98.73 131 | 98.86 176 | 99.44 182 | 97.69 228 | 99.57 277 | 99.34 194 | 96.57 186 | 99.12 182 | 99.81 196 | 98.83 100 | 99.16 216 | 97.97 205 | 97.91 172 | 99.73 189 |
|
CVMVSNet | | | 98.56 150 | 98.47 151 | 98.82 178 | 99.11 203 | 97.67 229 | 99.74 251 | 99.47 83 | 97.57 128 | 99.06 187 | 100.00 1 | 95.72 176 | 98.97 227 | 98.21 190 | 97.33 204 | 99.83 165 |
|
Patchmatch-test | | | 97.83 177 | 97.42 183 | 99.06 161 | 99.08 206 | 97.66 230 | 98.66 332 | 99.21 241 | 93.65 270 | 98.25 238 | 99.58 233 | 99.47 39 | 99.57 178 | 90.25 308 | 98.59 133 | 99.95 111 |
|
TranMVSNet+NR-MVSNet | | | 96.45 231 | 96.01 232 | 97.79 241 | 98.00 281 | 97.62 231 | 100.00 1 | 99.35 189 | 95.98 207 | 97.31 268 | 99.64 224 | 90.09 256 | 98.00 301 | 96.89 233 | 86.80 314 | 97.75 221 |
|
CostFormer | | | 98.84 134 | 98.77 128 | 99.04 164 | 99.41 184 | 97.58 232 | 99.67 268 | 99.35 189 | 94.66 240 | 99.96 87 | 99.36 247 | 99.28 64 | 99.74 160 | 99.41 134 | 97.81 182 | 99.81 170 |
|
pm-mvs1 | | | 95.76 262 | 95.01 268 | 98.00 231 | 98.23 256 | 97.45 233 | 99.24 302 | 99.04 296 | 93.13 284 | 95.93 290 | 99.72 204 | 86.28 294 | 98.84 239 | 95.62 252 | 87.92 306 | 97.72 258 |
|
VDDNet | | | 96.39 235 | 95.55 251 | 98.90 174 | 99.27 198 | 97.45 233 | 99.15 318 | 99.92 36 | 91.28 298 | 99.98 80 | 100.00 1 | 73.55 337 | 100.00 1 | 99.85 82 | 96.98 207 | 99.24 204 |
|
V4 | | | 95.89 259 | 95.36 259 | 97.49 249 | 97.65 293 | 97.40 235 | 99.88 223 | 99.07 283 | 92.19 289 | 98.08 241 | 99.01 273 | 90.20 254 | 98.72 254 | 93.57 283 | 88.63 301 | 96.34 317 |
|
dp | | | 98.72 140 | 98.61 142 | 99.03 165 | 99.53 165 | 97.39 236 | 99.45 286 | 99.39 168 | 95.62 218 | 99.94 108 | 99.52 239 | 98.83 100 | 99.82 151 | 96.77 239 | 98.42 143 | 99.89 140 |
|
COLMAP_ROB | | 97.10 7 | 98.29 164 | 98.17 163 | 98.65 185 | 99.94 85 | 97.39 236 | 99.30 298 | 99.40 154 | 95.64 216 | 97.75 257 | 100.00 1 | 92.69 212 | 99.95 119 | 98.89 158 | 99.92 103 | 98.62 210 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
v52 | | | 95.88 261 | 95.35 260 | 97.48 250 | 97.66 292 | 97.38 238 | 99.88 223 | 99.07 283 | 92.19 289 | 98.09 240 | 99.02 272 | 90.06 257 | 98.72 254 | 93.58 282 | 88.61 302 | 96.34 317 |
|
AllTest | | | 98.55 151 | 98.40 153 | 98.99 167 | 99.93 87 | 97.35 239 | 100.00 1 | 99.40 154 | 97.08 158 | 99.09 183 | 99.98 140 | 93.37 202 | 99.95 119 | 96.94 230 | 99.84 110 | 99.68 192 |
|
TestCases | | | | | 98.99 167 | 99.93 87 | 97.35 239 | | 99.40 154 | 97.08 158 | 99.09 183 | 99.98 140 | 93.37 202 | 99.95 119 | 96.94 230 | 99.84 110 | 99.68 192 |
|
v7n | | | 96.06 253 | 95.42 258 | 97.99 233 | 97.58 297 | 97.35 239 | 99.86 226 | 99.11 269 | 92.81 286 | 97.91 251 | 99.49 242 | 90.99 245 | 98.92 229 | 92.51 290 | 88.49 303 | 97.70 266 |
|
PS-MVSNAJss | | | 98.03 172 | 98.06 168 | 97.94 235 | 97.63 294 | 97.33 242 | 99.89 220 | 99.23 235 | 96.27 202 | 98.03 244 | 99.59 232 | 98.75 105 | 98.78 245 | 98.52 178 | 94.61 241 | 97.70 266 |
|
mvs_tets | | | 97.00 206 | 96.69 202 | 97.94 235 | 97.41 308 | 97.27 243 | 99.60 275 | 99.18 248 | 96.51 191 | 97.35 267 | 99.69 211 | 86.53 293 | 98.91 230 | 98.84 161 | 95.09 233 | 97.65 283 |
|
gm-plane-assit | | | | | | 99.52 170 | 97.26 244 | | | 95.86 211 | | 100.00 1 | | 99.43 204 | 98.76 166 | | |
|
MDA-MVSNet_test_wron | | | 92.61 293 | 91.09 299 | 97.19 262 | 96.71 313 | 97.26 244 | 100.00 1 | 99.14 257 | 88.61 319 | 67.90 346 | 98.32 308 | 89.03 270 | 96.57 310 | 90.47 304 | 89.59 291 | 97.74 243 |
|
PEN-MVS | | | 96.01 254 | 95.48 256 | 97.58 246 | 97.74 289 | 97.26 244 | 99.90 217 | 99.29 210 | 94.55 243 | 96.79 282 | 99.55 236 | 87.38 285 | 97.84 303 | 96.92 232 | 87.24 309 | 97.65 283 |
|
CSCG | | | 99.28 89 | 99.35 69 | 99.05 163 | 99.99 45 | 97.15 247 | 100.00 1 | 99.47 83 | 97.44 134 | 99.42 166 | 100.00 1 | 97.83 126 | 100.00 1 | 99.99 44 | 100.00 1 | 100.00 1 |
|
jajsoiax | | | 97.07 201 | 96.79 200 | 97.89 239 | 97.28 309 | 97.12 248 | 99.95 206 | 99.19 244 | 96.55 187 | 97.31 268 | 99.69 211 | 87.35 287 | 98.91 230 | 98.70 168 | 95.12 232 | 97.66 279 |
|
tpm2 | | | 98.64 145 | 98.58 145 | 98.81 180 | 99.42 183 | 97.12 248 | 99.69 265 | 99.37 175 | 93.63 271 | 99.94 108 | 99.67 217 | 98.96 90 | 99.47 201 | 98.62 175 | 97.95 170 | 99.83 165 |
|
tpm cat1 | | | 98.05 171 | 97.76 176 | 98.92 173 | 99.50 176 | 97.10 250 | 99.77 245 | 99.30 206 | 90.20 305 | 99.72 143 | 98.71 292 | 97.71 127 | 99.86 142 | 96.75 240 | 98.20 160 | 99.81 170 |
|
YYNet1 | | | 92.44 295 | 90.92 300 | 97.03 265 | 96.20 315 | 97.06 251 | 99.99 175 | 99.14 257 | 88.21 321 | 67.93 345 | 98.43 303 | 88.63 274 | 96.28 323 | 90.64 300 | 89.08 297 | 97.74 243 |
|
OMC-MVS | | | 99.27 90 | 99.38 65 | 98.96 170 | 99.95 81 | 97.06 251 | 100.00 1 | 99.40 154 | 98.83 31 | 99.88 120 | 100.00 1 | 97.01 142 | 99.86 142 | 99.47 127 | 99.84 110 | 99.97 95 |
|
tpmp4_e23 | | | 98.71 141 | 98.66 135 | 98.84 177 | 99.60 150 | 96.98 253 | 99.83 229 | 99.35 189 | 94.29 250 | 99.90 116 | 99.50 241 | 99.17 74 | 99.73 161 | 98.22 189 | 98.13 163 | 99.81 170 |
|
IterMVS | | | 96.76 214 | 96.46 211 | 97.63 242 | 99.41 184 | 96.89 254 | 99.99 175 | 99.13 262 | 94.74 239 | 97.59 262 | 99.66 219 | 89.63 265 | 98.28 284 | 95.71 248 | 92.31 259 | 97.72 258 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
EU-MVSNet | | | 96.63 223 | 96.53 207 | 96.94 269 | 97.59 296 | 96.87 255 | 99.76 248 | 99.47 83 | 96.35 199 | 96.85 280 | 99.78 200 | 92.57 213 | 96.27 324 | 95.33 255 | 91.08 271 | 97.68 273 |
|
semantic-postprocess | | | | | 97.62 244 | 99.40 188 | 96.83 256 | | 99.14 257 | 94.65 241 | 97.55 263 | 99.72 204 | 89.64 264 | 98.31 283 | 95.62 252 | 92.05 261 | 97.73 253 |
|
Baseline_NR-MVSNet | | | 96.16 247 | 95.70 246 | 97.56 247 | 98.28 253 | 96.79 257 | 100.00 1 | 97.86 333 | 91.93 293 | 97.63 259 | 99.47 244 | 92.14 216 | 98.35 282 | 97.13 226 | 86.83 313 | 97.54 296 |
|
BH-w/o | | | 98.82 136 | 98.81 125 | 98.88 175 | 99.62 146 | 96.71 258 | 100.00 1 | 99.28 218 | 97.09 156 | 98.81 201 | 100.00 1 | 94.91 189 | 99.96 113 | 99.54 121 | 100.00 1 | 99.96 106 |
|
MDA-MVSNet-bldmvs | | | 91.65 301 | 89.94 304 | 96.79 284 | 96.72 312 | 96.70 259 | 99.42 289 | 98.94 300 | 88.89 318 | 66.97 348 | 98.37 306 | 81.43 319 | 95.91 327 | 89.24 317 | 89.46 293 | 97.75 221 |
|
MIMVSNet | | | 97.06 202 | 96.73 201 | 98.05 229 | 99.38 192 | 96.64 260 | 98.47 335 | 99.35 189 | 93.41 276 | 99.48 163 | 98.53 299 | 89.66 262 | 97.70 306 | 94.16 275 | 98.11 165 | 99.80 177 |
|
v148 | | | 96.29 240 | 95.84 238 | 97.63 242 | 97.74 289 | 96.53 261 | 100.00 1 | 99.07 283 | 93.52 274 | 98.01 247 | 99.42 246 | 91.22 236 | 98.60 265 | 96.37 242 | 87.22 310 | 97.75 221 |
|
DTE-MVSNet | | | 95.52 265 | 94.99 269 | 97.08 263 | 97.49 302 | 96.45 262 | 100.00 1 | 99.25 229 | 93.82 260 | 96.17 286 | 99.57 235 | 87.81 281 | 97.18 308 | 94.57 266 | 86.26 316 | 97.62 289 |
|
BH-untuned | | | 98.64 145 | 98.65 138 | 98.60 187 | 99.59 153 | 96.17 263 | 100.00 1 | 99.28 218 | 96.67 181 | 98.41 228 | 100.00 1 | 94.52 192 | 99.83 149 | 99.41 134 | 100.00 1 | 99.81 170 |
|
mvs-test1 | | | 98.89 132 | 98.99 103 | 98.60 187 | 99.77 123 | 95.96 264 | 100.00 1 | 98.94 300 | 97.61 123 | 99.93 113 | 99.92 178 | 95.89 170 | 99.93 132 | 99.36 136 | 99.50 119 | 99.90 135 |
|
MVS-HIRNet | | | 94.12 276 | 92.73 285 | 98.29 203 | 99.33 194 | 95.95 265 | 99.38 292 | 99.19 244 | 74.54 340 | 98.26 237 | 86.34 346 | 86.07 295 | 99.06 220 | 91.60 295 | 99.87 109 | 99.85 161 |
|
XVG-OURS-SEG-HR | | | 98.27 166 | 98.31 157 | 98.14 218 | 99.59 153 | 95.92 266 | 100.00 1 | 99.36 181 | 98.48 47 | 99.21 176 | 100.00 1 | 89.27 268 | 99.94 130 | 99.76 96 | 99.17 121 | 98.56 211 |
|
XVG-OURS | | | 98.30 163 | 98.36 156 | 98.13 221 | 99.58 157 | 95.91 267 | 100.00 1 | 99.36 181 | 98.69 38 | 99.23 175 | 100.00 1 | 91.20 237 | 99.92 135 | 99.34 138 | 97.82 181 | 98.56 211 |
|
tpm | | | 98.24 167 | 98.22 162 | 98.32 201 | 99.13 202 | 95.79 268 | 99.53 281 | 99.12 268 | 95.20 231 | 99.96 87 | 99.36 247 | 97.58 130 | 99.28 214 | 97.41 221 | 96.67 210 | 99.88 152 |
|
TAPA-MVS | | 96.40 10 | 97.64 181 | 97.37 186 | 98.45 191 | 99.94 85 | 95.70 269 | 100.00 1 | 99.40 154 | 97.65 119 | 99.53 160 | 100.00 1 | 99.31 54 | 99.66 172 | 80.48 331 | 100.00 1 | 100.00 1 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
VDD-MVS | | | 96.58 226 | 95.99 233 | 98.34 199 | 99.52 170 | 95.33 270 | 99.18 311 | 99.38 172 | 96.64 182 | 99.77 138 | 100.00 1 | 72.51 339 | 100.00 1 | 100.00 1 | 96.94 208 | 99.70 190 |
|
PVSNet_0 | | 93.57 19 | 96.41 232 | 95.74 244 | 98.41 193 | 99.84 97 | 95.22 271 | 100.00 1 | 100.00 1 | 98.08 76 | 97.55 263 | 99.78 200 | 84.40 304 | 100.00 1 | 100.00 1 | 81.99 322 | 100.00 1 |
|
testpf | | | 97.02 205 | 96.87 196 | 97.44 252 | 99.50 176 | 95.18 272 | 95.70 344 | 99.33 196 | 91.35 297 | 98.00 248 | 99.22 254 | 96.29 167 | 98.49 276 | 94.42 269 | 98.07 167 | 98.67 208 |
|
LP | | | 95.89 259 | 95.35 260 | 97.51 248 | 98.92 227 | 95.15 273 | 98.66 332 | 99.39 168 | 89.43 316 | 97.22 271 | 99.03 270 | 94.37 194 | 97.74 305 | 83.71 326 | 97.44 202 | 99.63 197 |
|
ADS-MVSNet2 | | | 98.28 165 | 98.51 149 | 97.62 244 | 99.51 173 | 95.03 274 | 99.24 302 | 99.41 152 | 95.52 223 | 99.96 87 | 99.70 209 | 97.57 131 | 97.94 302 | 97.11 227 | 98.54 134 | 99.88 152 |
|
GBi-Net | | | 96.07 251 | 95.80 240 | 96.89 272 | 99.53 165 | 94.87 275 | 99.18 311 | 99.27 225 | 93.71 262 | 98.53 221 | 98.81 287 | 84.23 306 | 98.07 297 | 95.31 256 | 93.60 246 | 97.72 258 |
|
test1 | | | 96.07 251 | 95.80 240 | 96.89 272 | 99.53 165 | 94.87 275 | 99.18 311 | 99.27 225 | 93.71 262 | 98.53 221 | 98.81 287 | 84.23 306 | 98.07 297 | 95.31 256 | 93.60 246 | 97.72 258 |
|
FMVSNet1 | | | 94.45 273 | 93.63 277 | 96.89 272 | 98.87 232 | 94.87 275 | 99.18 311 | 99.27 225 | 90.95 301 | 97.31 268 | 98.81 287 | 72.89 338 | 98.07 297 | 92.61 288 | 92.81 255 | 97.72 258 |
|
HQP5-MVS | | | | | | | 94.82 278 | | | | | | | | | | |
|
HQP-MVS | | | 97.73 178 | 97.85 174 | 97.39 253 | 99.07 207 | 94.82 278 | 100.00 1 | 99.40 154 | 99.04 13 | 99.17 177 | 99.97 150 | 88.61 275 | 99.57 178 | 99.79 90 | 95.58 212 | 97.77 215 |
|
NP-MVS | | | | | | 99.07 207 | 94.81 280 | | | | | 99.97 150 | | | | | |
|
HQP_MVS | | | 97.71 180 | 97.82 175 | 97.37 254 | 99.00 219 | 94.80 281 | 100.00 1 | 99.40 154 | 99.00 19 | 99.08 185 | 99.97 150 | 88.58 277 | 99.55 187 | 99.79 90 | 95.57 216 | 97.76 217 |
|
plane_prior6 | | | | | | 99.06 211 | 94.80 281 | | | | | | 88.58 277 | | | | |
|
plane_prior | | | | | | | 94.80 281 | 100.00 1 | | 99.03 16 | | | | | | 95.58 212 | |
|
plane_prior3 | | | | | | | 94.79 284 | | | 99.03 16 | 99.08 185 | | | | | | |
|
plane_prior7 | | | | | | 99.00 219 | 94.78 285 | | | | | | | | | | |
|
v748 | | | 95.47 267 | 94.95 270 | 97.04 264 | 97.46 305 | 94.76 286 | 99.93 212 | 99.10 270 | 91.95 292 | 97.11 273 | 99.18 255 | 89.94 260 | 98.68 258 | 94.01 277 | 85.88 317 | 97.67 277 |
|
CLD-MVS | | | 97.64 181 | 97.74 177 | 97.36 255 | 99.01 215 | 94.76 286 | 100.00 1 | 99.34 194 | 99.30 4 | 99.00 189 | 99.97 150 | 87.49 284 | 99.57 178 | 99.96 65 | 95.58 212 | 97.75 221 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
OPM-MVS | | | 97.21 193 | 97.18 191 | 97.32 256 | 98.08 272 | 94.66 288 | 100.00 1 | 99.28 218 | 98.65 42 | 98.92 192 | 99.98 140 | 86.03 297 | 99.56 182 | 98.28 188 | 95.41 218 | 97.72 258 |
|
pmmvs5 | | | 95.94 256 | 95.61 249 | 96.95 268 | 97.42 306 | 94.66 288 | 100.00 1 | 98.08 326 | 93.60 273 | 97.05 274 | 99.43 245 | 87.02 288 | 98.46 278 | 95.76 245 | 92.12 260 | 97.72 258 |
|
ACMM | | 97.17 6 | 97.37 188 | 97.40 184 | 97.29 257 | 99.01 215 | 94.64 290 | 100.00 1 | 99.25 229 | 98.07 77 | 98.44 227 | 99.98 140 | 87.38 285 | 99.55 187 | 99.25 144 | 95.19 228 | 97.69 271 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
LPG-MVS_test | | | 97.31 190 | 97.32 187 | 97.28 258 | 98.85 234 | 94.60 291 | 100.00 1 | 99.37 175 | 97.35 139 | 98.85 197 | 99.98 140 | 86.66 291 | 99.56 182 | 99.55 118 | 95.26 223 | 97.70 266 |
|
LGP-MVS_train | | | | | 97.28 258 | 98.85 234 | 94.60 291 | | 99.37 175 | 97.35 139 | 98.85 197 | 99.98 140 | 86.66 291 | 99.56 182 | 99.55 118 | 95.26 223 | 97.70 266 |
|
ACMP | | 97.00 8 | 97.19 194 | 97.16 192 | 97.27 260 | 98.97 224 | 94.58 293 | 100.00 1 | 99.32 199 | 97.97 86 | 97.45 265 | 99.98 140 | 85.79 299 | 99.56 182 | 99.70 102 | 95.24 226 | 97.67 277 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
Fast-Effi-MVS+-dtu | | | 98.38 162 | 98.56 146 | 97.82 240 | 99.58 157 | 94.44 294 | 100.00 1 | 99.16 252 | 96.75 172 | 99.51 161 | 99.63 228 | 95.03 187 | 99.60 173 | 97.71 210 | 99.67 116 | 99.42 202 |
|
ACMH | | 96.25 11 | 96.77 210 | 96.62 205 | 97.21 261 | 98.96 225 | 94.43 295 | 99.64 272 | 99.33 196 | 97.43 135 | 96.55 284 | 99.97 150 | 83.52 310 | 99.54 190 | 99.07 153 | 95.13 231 | 97.66 279 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
MVP-Stereo | | | 96.51 228 | 96.48 210 | 96.60 288 | 95.65 321 | 94.25 296 | 98.84 330 | 98.16 322 | 95.85 213 | 95.23 294 | 99.04 265 | 92.54 214 | 99.13 217 | 92.98 287 | 99.98 94 | 96.43 316 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
Effi-MVS+-dtu | | | 98.51 156 | 98.86 121 | 97.47 251 | 99.77 123 | 94.21 297 | 100.00 1 | 98.94 300 | 97.61 123 | 99.91 115 | 98.75 290 | 95.89 170 | 99.51 197 | 99.36 136 | 99.48 120 | 98.68 207 |
|
testgi | | | 96.18 245 | 95.93 236 | 96.93 270 | 98.98 223 | 94.20 298 | 100.00 1 | 99.07 283 | 97.16 150 | 96.06 288 | 99.86 185 | 84.08 309 | 97.79 304 | 90.38 305 | 97.80 183 | 98.81 206 |
|
LTVRE_ROB | | 95.29 16 | 96.32 239 | 96.10 228 | 96.99 267 | 98.55 241 | 93.88 299 | 99.45 286 | 99.28 218 | 94.50 245 | 96.46 285 | 99.52 239 | 84.86 302 | 99.48 200 | 97.26 224 | 95.03 234 | 97.59 293 |
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 |
ACMH+ | | 96.20 13 | 96.49 230 | 96.33 215 | 97.00 266 | 99.06 211 | 93.80 300 | 99.81 236 | 99.31 204 | 97.32 142 | 95.89 291 | 99.97 150 | 82.62 314 | 99.54 190 | 98.34 185 | 94.63 240 | 97.65 283 |
|
test_0402 | | | 94.35 274 | 93.70 276 | 96.32 292 | 97.92 284 | 93.60 301 | 99.61 274 | 98.85 305 | 88.19 322 | 94.68 297 | 99.48 243 | 80.01 326 | 98.58 269 | 89.39 314 | 95.15 230 | 96.77 312 |
|
ITE_SJBPF | | | | | 96.84 280 | 98.96 225 | 93.49 302 | | 98.12 324 | 98.12 74 | 98.35 230 | 99.97 150 | 84.45 303 | 99.56 182 | 95.63 251 | 95.25 225 | 97.49 297 |
|
OurMVSNet-221017-0 | | | 96.14 249 | 95.98 234 | 96.62 287 | 97.49 302 | 93.44 303 | 99.92 214 | 98.16 322 | 95.86 211 | 97.65 258 | 99.95 171 | 85.71 300 | 98.78 245 | 94.93 264 | 94.18 244 | 97.64 286 |
|
K. test v3 | | | 95.46 268 | 95.14 265 | 96.40 290 | 97.53 299 | 93.40 304 | 99.99 175 | 99.23 235 | 95.49 226 | 92.70 309 | 99.73 203 | 84.26 305 | 98.12 289 | 93.94 279 | 93.38 250 | 97.68 273 |
|
XVG-ACMP-BASELINE | | | 96.60 225 | 96.52 208 | 96.84 280 | 98.41 246 | 93.29 305 | 99.99 175 | 99.32 199 | 97.76 105 | 98.51 224 | 99.29 251 | 81.95 316 | 99.54 190 | 98.40 181 | 95.03 234 | 97.68 273 |
|
SixPastTwentyTwo | | | 95.71 263 | 95.49 254 | 96.38 291 | 97.42 306 | 93.01 306 | 99.84 228 | 98.23 319 | 94.75 237 | 95.98 289 | 99.97 150 | 85.35 301 | 98.43 279 | 94.71 265 | 93.17 251 | 97.69 271 |
|
TinyColmap | | | 95.50 266 | 95.12 266 | 96.64 286 | 98.69 236 | 93.00 307 | 99.40 290 | 97.75 334 | 96.40 197 | 96.14 287 | 99.87 183 | 79.47 327 | 99.50 198 | 93.62 281 | 94.72 239 | 97.40 302 |
|
FMVSNet5 | | | 95.32 269 | 95.43 257 | 94.99 301 | 99.39 191 | 92.99 308 | 99.25 301 | 99.24 232 | 90.45 302 | 97.44 266 | 98.45 301 | 95.78 173 | 94.39 333 | 87.02 320 | 91.88 263 | 97.59 293 |
|
new_pmnet | | | 94.11 277 | 93.47 279 | 96.04 296 | 96.60 314 | 92.82 309 | 99.97 197 | 98.91 303 | 90.21 304 | 95.26 293 | 98.05 309 | 85.89 298 | 98.14 288 | 84.28 325 | 92.01 262 | 97.16 309 |
|
pmmvs-eth3d | | | 91.73 300 | 90.67 301 | 94.92 303 | 91.63 332 | 92.71 310 | 99.90 217 | 98.54 316 | 91.19 299 | 88.08 327 | 95.50 325 | 79.31 329 | 96.13 325 | 90.55 303 | 81.32 325 | 95.91 330 |
|
TDRefinement | | | 91.93 297 | 90.48 302 | 96.27 293 | 81.60 345 | 92.65 311 | 99.10 321 | 97.61 337 | 93.96 256 | 93.77 304 | 99.85 187 | 80.03 325 | 99.53 194 | 97.82 208 | 70.59 342 | 96.63 314 |
|
USDC | | | 95.90 257 | 95.70 246 | 96.50 289 | 98.60 240 | 92.56 312 | 100.00 1 | 98.30 318 | 97.77 103 | 96.92 276 | 99.94 175 | 81.25 322 | 99.45 203 | 93.54 284 | 94.96 236 | 97.49 297 |
|
UnsupCasMVSNet_eth | | | 94.25 275 | 93.89 273 | 95.34 298 | 97.63 294 | 92.13 313 | 99.73 255 | 99.36 181 | 94.88 236 | 92.78 306 | 98.63 296 | 82.72 312 | 96.53 314 | 94.57 266 | 84.73 319 | 97.36 303 |
|
LF4IMVS | | | 96.19 244 | 96.18 221 | 96.23 294 | 98.26 254 | 92.09 314 | 100.00 1 | 97.89 332 | 97.82 100 | 97.94 249 | 99.87 183 | 82.71 313 | 99.38 208 | 97.41 221 | 93.71 245 | 97.20 308 |
|
test20.03 | | | 93.11 290 | 92.85 284 | 93.88 312 | 95.19 324 | 91.83 315 | 100.00 1 | 98.87 304 | 93.68 268 | 92.76 307 | 98.88 285 | 89.20 269 | 92.71 338 | 77.88 337 | 89.19 295 | 97.09 310 |
|
lessismore_v0 | | | | | 96.05 295 | 97.55 298 | 91.80 316 | | 99.22 237 | | 91.87 310 | 99.91 179 | 83.50 311 | 98.68 258 | 92.48 291 | 90.42 280 | 97.68 273 |
|
MIMVSNet1 | | | 91.96 296 | 91.20 297 | 94.23 309 | 94.94 326 | 91.69 317 | 99.34 295 | 99.22 237 | 88.23 320 | 94.18 301 | 98.45 301 | 75.52 336 | 93.41 337 | 79.37 334 | 91.49 267 | 97.60 292 |
|
pmmvs3 | | | 90.62 305 | 89.36 306 | 94.40 306 | 90.53 334 | 91.49 318 | 100.00 1 | 96.73 343 | 84.21 332 | 93.65 305 | 96.65 314 | 82.56 315 | 94.83 332 | 82.28 328 | 77.62 334 | 96.89 311 |
|
pmmvs6 | | | 93.64 278 | 92.87 283 | 95.94 297 | 97.47 304 | 91.41 319 | 98.92 327 | 99.02 297 | 87.84 323 | 95.01 295 | 99.61 231 | 77.24 333 | 98.77 248 | 94.33 271 | 86.41 315 | 97.63 287 |
|
DSMNet-mixed | | | 95.18 270 | 95.21 263 | 95.08 299 | 96.03 317 | 90.21 320 | 99.65 271 | 93.64 350 | 92.91 285 | 98.34 231 | 97.40 312 | 90.05 258 | 95.51 331 | 91.02 299 | 97.86 176 | 99.51 201 |
|
Anonymous20231206 | | | 93.45 283 | 93.17 281 | 94.30 307 | 95.00 325 | 89.69 321 | 99.98 191 | 98.43 317 | 93.30 280 | 94.50 299 | 98.59 297 | 90.52 249 | 95.73 329 | 77.46 339 | 90.73 277 | 97.48 299 |
|
MS-PatchMatch | | | 95.66 264 | 95.87 237 | 95.05 300 | 97.80 288 | 89.25 322 | 98.88 329 | 99.30 206 | 96.35 199 | 96.86 279 | 99.01 273 | 81.35 321 | 99.43 204 | 93.30 285 | 99.98 94 | 96.46 315 |
|
UnsupCasMVSNet_bld | | | 89.50 307 | 88.00 310 | 93.99 311 | 95.30 323 | 88.86 323 | 98.52 334 | 99.28 218 | 85.50 329 | 87.80 329 | 94.11 336 | 61.63 343 | 96.96 309 | 90.63 301 | 79.26 327 | 96.15 319 |
|
new-patchmatchnet | | | 90.30 306 | 89.46 305 | 92.84 314 | 90.77 333 | 88.55 324 | 99.83 229 | 98.80 306 | 90.07 306 | 87.86 328 | 95.00 334 | 78.77 330 | 94.30 334 | 84.86 324 | 79.15 329 | 95.68 334 |
|
OpenMVS_ROB | | 88.34 20 | 91.89 298 | 91.12 298 | 94.19 310 | 95.55 322 | 87.63 325 | 99.26 300 | 98.03 327 | 86.61 325 | 90.65 314 | 96.82 313 | 70.14 341 | 98.78 245 | 86.54 322 | 96.50 211 | 96.15 319 |
|
EG-PatchMatch MVS | | | 92.94 291 | 92.49 286 | 94.29 308 | 95.87 320 | 87.07 326 | 99.07 325 | 98.11 325 | 93.19 282 | 88.98 317 | 98.66 295 | 70.89 340 | 99.08 219 | 92.43 292 | 95.21 227 | 96.72 313 |
|
LCM-MVSNet-Re | | | 96.52 227 | 97.21 190 | 94.44 305 | 99.27 198 | 85.80 327 | 99.85 227 | 96.61 345 | 95.98 207 | 92.75 308 | 98.48 300 | 93.97 197 | 97.55 307 | 99.58 116 | 98.43 142 | 99.98 90 |
|
DeepPCF-MVS | | 98.03 4 | 98.54 152 | 99.72 15 | 94.98 302 | 99.99 45 | 84.94 328 | 100.00 1 | 99.42 121 | 99.98 1 | 100.00 1 | 100.00 1 | 98.11 121 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
RPSCF | | | 97.37 188 | 98.24 159 | 94.76 304 | 99.80 113 | 84.57 329 | 99.99 175 | 99.05 293 | 94.95 235 | 99.82 133 | 100.00 1 | 94.03 195 | 100.00 1 | 98.15 192 | 98.38 149 | 99.70 190 |
|
Patchmatch-RL test | | | 93.49 281 | 93.63 277 | 93.05 313 | 91.78 330 | 83.41 330 | 98.21 337 | 96.95 341 | 91.58 296 | 91.05 311 | 97.64 311 | 99.40 47 | 95.83 328 | 94.11 276 | 81.95 323 | 99.91 127 |
|
Gipuma | | | 84.73 313 | 83.50 314 | 88.40 319 | 97.50 300 | 82.21 331 | 88.87 347 | 99.05 293 | 65.81 343 | 85.71 332 | 90.49 341 | 53.70 345 | 96.31 321 | 78.64 336 | 91.74 264 | 86.67 346 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
PM-MVS | | | 88.39 309 | 87.41 311 | 91.31 315 | 91.73 331 | 82.02 332 | 99.79 240 | 96.62 344 | 91.06 300 | 90.71 313 | 95.73 320 | 48.60 349 | 95.96 326 | 90.56 302 | 81.91 324 | 95.97 322 |
|
Anonymous20231211 | | | 84.35 314 | 82.41 315 | 90.15 316 | 89.14 335 | 78.88 333 | 98.71 331 | 98.22 320 | 70.20 342 | 86.88 330 | 95.44 327 | 47.11 351 | 95.72 330 | 81.14 329 | 74.88 340 | 95.84 333 |
|
test2356 | | | 92.55 294 | 93.94 272 | 88.39 320 | 93.49 328 | 78.42 334 | 100.00 1 | 99.40 154 | 91.64 294 | 93.93 302 | 98.74 291 | 91.11 241 | 88.67 343 | 79.37 334 | 97.79 184 | 98.08 213 |
|
1111 | | | 88.62 308 | 89.13 307 | 87.08 323 | 87.71 337 | 77.22 335 | 99.96 200 | 97.71 335 | 85.51 327 | 83.47 336 | 96.26 318 | 95.76 174 | 90.96 339 | 66.63 345 | 89.17 296 | 93.07 338 |
|
.test1245 | | | 85.18 312 | 84.81 313 | 86.28 325 | 87.71 337 | 77.22 335 | 99.96 200 | 97.71 335 | 85.51 327 | 83.47 336 | 96.26 318 | 95.76 174 | 90.96 339 | 66.63 345 | 50.30 346 | 90.64 342 |
|
no-one | | | 74.65 322 | 71.03 323 | 85.51 327 | 80.99 346 | 75.42 337 | 99.70 261 | 97.15 339 | 81.02 335 | 66.48 349 | 80.55 353 | 29.10 356 | 93.65 336 | 73.74 341 | 30.53 352 | 87.47 345 |
|
testus | | | 91.61 302 | 92.92 282 | 87.70 321 | 93.91 327 | 74.98 338 | 100.00 1 | 98.19 321 | 92.59 288 | 93.90 303 | 98.68 293 | 81.43 319 | 90.77 341 | 79.82 333 | 97.71 193 | 97.34 305 |
|
PMMVS2 | | | 79.15 318 | 77.28 320 | 84.76 329 | 82.34 344 | 72.66 339 | 99.70 261 | 95.11 349 | 71.68 341 | 84.78 335 | 90.87 340 | 32.05 354 | 89.99 342 | 75.53 340 | 63.45 343 | 91.64 340 |
|
test12356 | | | 86.30 311 | 87.15 312 | 83.77 330 | 84.24 342 | 72.00 340 | 99.94 210 | 96.80 342 | 84.63 331 | 85.16 334 | 96.51 315 | 77.02 334 | 86.31 347 | 70.06 343 | 89.93 287 | 93.00 339 |
|
test123 | | | 79.44 317 | 79.23 319 | 80.05 332 | 80.03 347 | 71.72 341 | 100.00 1 | 77.93 359 | 62.52 344 | 94.81 296 | 99.69 211 | 78.21 331 | 74.53 354 | 92.57 289 | 27.33 354 | 93.90 335 |
|
test1235678 | | | 88.02 310 | 88.73 308 | 85.90 326 | 87.57 339 | 71.70 342 | 100.00 1 | 97.42 338 | 87.52 324 | 86.19 331 | 96.39 316 | 81.60 317 | 87.93 344 | 70.72 342 | 91.18 270 | 98.08 213 |
|
DeepMVS_CX | | | | | 89.98 317 | 98.90 228 | 71.46 343 | | 99.18 248 | 97.61 123 | 96.92 276 | 99.83 190 | 86.07 295 | 99.83 149 | 96.02 243 | 97.65 200 | 98.65 209 |
|
ambc | | | | | 88.45 318 | 86.84 340 | 70.76 344 | 97.79 341 | 98.02 329 | | 90.91 312 | 95.14 332 | 38.69 352 | 98.51 273 | 94.97 263 | 84.23 320 | 96.09 321 |
|
LCM-MVSNet | | | 79.01 319 | 76.93 321 | 85.27 328 | 78.28 348 | 68.01 345 | 96.57 342 | 98.03 327 | 55.10 348 | 82.03 339 | 93.27 338 | 31.99 355 | 93.95 335 | 82.72 327 | 74.37 341 | 93.84 336 |
|
CMPMVS | | 66.12 22 | 90.65 304 | 92.04 291 | 86.46 324 | 96.18 316 | 66.87 346 | 98.03 338 | 99.38 172 | 83.38 334 | 85.49 333 | 99.55 236 | 77.59 332 | 98.80 244 | 94.44 268 | 94.31 243 | 93.72 337 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
N_pmnet | | | 91.88 299 | 93.37 280 | 87.40 322 | 97.24 310 | 66.33 347 | 99.90 217 | 91.05 352 | 89.77 311 | 95.65 292 | 98.58 298 | 90.05 258 | 98.11 291 | 85.39 323 | 92.72 256 | 97.75 221 |
|
EMVS | | | 69.88 325 | 69.09 325 | 72.24 341 | 84.70 341 | 65.82 348 | 99.96 200 | 87.08 357 | 49.82 352 | 71.51 344 | 84.74 348 | 49.30 348 | 75.32 353 | 50.97 353 | 43.71 349 | 75.59 353 |
|
E-PMN | | | 70.72 323 | 70.06 324 | 72.69 340 | 83.92 343 | 65.48 349 | 99.95 206 | 92.72 351 | 49.88 351 | 72.30 343 | 86.26 347 | 47.17 350 | 77.43 352 | 53.83 352 | 44.49 348 | 75.17 354 |
|
testmv | | | 79.83 316 | 79.77 317 | 79.99 333 | 78.22 349 | 63.55 350 | 99.67 268 | 95.51 348 | 80.89 336 | 76.24 340 | 92.90 339 | 52.16 346 | 86.10 348 | 62.45 348 | 79.90 326 | 90.33 344 |
|
ANet_high | | | 66.05 327 | 63.44 329 | 73.88 337 | 61.14 355 | 63.45 351 | 95.68 345 | 87.18 355 | 79.93 337 | 47.35 352 | 80.68 352 | 22.35 357 | 72.33 356 | 61.24 349 | 35.42 351 | 85.88 348 |
|
MVE | | 68.59 21 | 67.22 326 | 64.68 328 | 74.84 335 | 74.67 353 | 62.32 352 | 95.84 343 | 90.87 353 | 50.98 350 | 58.72 350 | 81.05 351 | 12.20 362 | 78.95 351 | 61.06 350 | 56.75 345 | 83.24 350 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
PNet_i23d | | | 69.93 324 | 67.61 326 | 76.86 334 | 75.89 351 | 62.08 353 | 97.85 339 | 88.23 354 | 61.04 346 | 55.65 351 | 84.10 349 | 19.35 358 | 83.21 349 | 66.45 347 | 59.98 344 | 85.29 349 |
|
testmvs | | | 80.17 315 | 81.95 316 | 74.80 336 | 58.54 356 | 59.58 354 | 100.00 1 | 87.14 356 | 76.09 339 | 99.61 155 | 100.00 1 | 67.06 342 | 74.19 355 | 98.84 161 | 50.30 346 | 90.64 342 |
|
wuykxyi23d | | | 62.75 329 | 59.23 330 | 73.34 338 | 61.53 354 | 59.39 355 | 93.28 346 | 86.17 358 | 53.70 349 | 46.89 353 | 77.89 354 | 12.35 359 | 79.96 350 | 60.86 351 | 40.35 350 | 80.68 352 |
|
tmp_tt | | | 75.80 321 | 74.26 322 | 80.43 331 | 52.91 358 | 53.67 356 | 87.42 349 | 97.98 330 | 61.80 345 | 67.04 347 | 100.00 1 | 76.43 335 | 96.40 319 | 96.47 241 | 28.26 353 | 91.23 341 |
|
FPMVS | | | 77.92 320 | 79.45 318 | 73.34 338 | 76.87 350 | 46.81 357 | 98.24 336 | 99.05 293 | 59.89 347 | 73.55 342 | 98.34 307 | 36.81 353 | 86.55 345 | 80.96 330 | 91.35 269 | 86.65 347 |
|
PMVS | | 60.66 23 | 65.98 328 | 65.05 327 | 68.75 342 | 55.06 357 | 38.40 358 | 88.19 348 | 96.98 340 | 48.30 353 | 44.82 354 | 88.52 344 | 12.22 361 | 86.49 346 | 67.58 344 | 83.79 321 | 81.35 351 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
wuyk23d | | | 28.28 331 | 29.73 333 | 23.92 344 | 75.89 351 | 32.61 359 | 66.50 350 | 12.88 360 | 16.09 354 | 14.59 355 | 16.59 356 | 12.35 359 | 32.36 357 | 39.36 354 | 13.36 355 | 6.79 355 |
|
cdsmvs_eth3d_5k | | | 24.41 332 | 32.55 332 | 0.00 345 | 0.00 359 | 0.00 360 | 0.00 351 | 99.39 168 | 0.00 355 | 0.00 356 | 100.00 1 | 93.55 201 | 0.00 358 | 0.00 355 | 0.00 356 | 0.00 356 |
|
pcd_1.5k_mvsjas | | | 8.24 334 | 10.99 335 | 0.00 345 | 0.00 359 | 0.00 360 | 0.00 351 | 0.00 361 | 0.00 355 | 0.00 356 | 0.14 357 | 98.75 105 | 0.00 358 | 0.00 355 | 0.00 356 | 0.00 356 |
|
pcd1.5k->3k | | | 40.07 330 | 42.58 331 | 32.57 343 | 97.97 283 | 0.00 360 | 0.00 351 | 99.25 229 | 0.00 355 | 0.00 356 | 0.14 357 | 91.10 242 | 0.00 358 | 0.00 355 | 94.75 237 | 97.70 266 |
|
sosnet-low-res | | | 0.01 335 | 0.02 336 | 0.00 345 | 0.00 359 | 0.00 360 | 0.00 351 | 0.00 361 | 0.00 355 | 0.00 356 | 0.14 357 | 0.00 363 | 0.00 358 | 0.00 355 | 0.00 356 | 0.00 356 |
|
sosnet | | | 0.01 335 | 0.02 336 | 0.00 345 | 0.00 359 | 0.00 360 | 0.00 351 | 0.00 361 | 0.00 355 | 0.00 356 | 0.14 357 | 0.00 363 | 0.00 358 | 0.00 355 | 0.00 356 | 0.00 356 |
|
uncertanet | | | 0.01 335 | 0.02 336 | 0.00 345 | 0.00 359 | 0.00 360 | 0.00 351 | 0.00 361 | 0.00 355 | 0.00 356 | 0.14 357 | 0.00 363 | 0.00 358 | 0.00 355 | 0.00 356 | 0.00 356 |
|
Regformer | | | 0.01 335 | 0.02 336 | 0.00 345 | 0.00 359 | 0.00 360 | 0.00 351 | 0.00 361 | 0.00 355 | 0.00 356 | 0.14 357 | 0.00 363 | 0.00 358 | 0.00 355 | 0.00 356 | 0.00 356 |
|
ab-mvs-re | | | 8.33 333 | 11.11 334 | 0.00 345 | 0.00 359 | 0.00 360 | 0.00 351 | 0.00 361 | 0.00 355 | 0.00 356 | 100.00 1 | 0.00 363 | 0.00 358 | 0.00 355 | 0.00 356 | 0.00 356 |
|
uanet | | | 0.01 335 | 0.02 336 | 0.00 345 | 0.00 359 | 0.00 360 | 0.00 351 | 0.00 361 | 0.00 355 | 0.00 356 | 0.14 357 | 0.00 363 | 0.00 358 | 0.00 355 | 0.00 356 | 0.00 356 |
|
GSMVS | | | | | | | | | | | | | | | | | 99.91 127 |
|
test_part3 | | | | | | | | 100.00 1 | | 98.23 64 | | 100.00 1 | | 100.00 1 | 100.00 1 | | |
|
test_part1 | | | | | | | | | 99.42 121 | | | | 99.53 25 | | | 100.00 1 | 100.00 1 |
|
sam_mvs1 | | | | | | | | | | | | | 99.29 61 | | | | 99.91 127 |
|
sam_mvs | | | | | | | | | | | | | 99.33 50 | | | | |
|
MTGPA | | | | | | | | | 99.42 121 | | | | | | | | |
|
test_post1 | | | | | | | | 99.32 296 | | | | 88.24 345 | 99.33 50 | 99.59 175 | 98.31 186 | | |
|
test_post | | | | | | | | | | | | 89.05 343 | 99.49 36 | 99.59 175 | | | |
|
patchmatchnet-post | | | | | | | | | | | | 97.79 310 | 99.41 46 | 99.54 190 | | | |
|
MTMP | | | | | | | | | 99.18 248 | | | | | | | | |
|
test9_res | | | | | | | | | | | | | | | 100.00 1 | 100.00 1 | 100.00 1 |
|
agg_prior2 | | | | | | | | | | | | | | | 100.00 1 | 100.00 1 | 100.00 1 |
|
test_prior2 | | | | | | | | 100.00 1 | | 98.82 33 | 100.00 1 | 100.00 1 | 99.47 39 | | 100.00 1 | 100.00 1 | |
|
旧先验2 | | | | | | | | 100.00 1 | | 98.11 75 | 100.00 1 | | | 100.00 1 | 99.67 106 | | |
|
新几何2 | | | | | | | | 100.00 1 | | | | | | | | | |
|
无先验 | | | | | | | | 100.00 1 | 99.80 43 | 97.98 84 | | | | 100.00 1 | 99.33 139 | | 100.00 1 |
|
原ACMM2 | | | | | | | | 100.00 1 | | | | | | | | | |
|
testdata2 | | | | | | | | | | | | | | 100.00 1 | 97.36 223 | | |
|
segment_acmp | | | | | | | | | | | | | 99.55 24 | | | | |
|
testdata1 | | | | | | | | 100.00 1 | | 98.77 37 | | | | | | | |
|
plane_prior5 | | | | | | | | | 99.40 154 | | | | | 99.55 187 | 99.79 90 | 95.57 216 | 97.76 217 |
|
plane_prior4 | | | | | | | | | | | | 99.97 150 | | | | | |
|
plane_prior2 | | | | | | | | 100.00 1 | | 99.00 19 | | | | | | | |
|
plane_prior1 | | | | | | 99.02 214 | | | | | | | | | | | |
|
n2 | | | | | | | | | 0.00 361 | | | | | | | | |
|
nn | | | | | | | | | 0.00 361 | | | | | | | | |
|
door-mid | | | | | | | | | 96.32 346 | | | | | | | | |
|
test11 | | | | | | | | | 99.42 121 | | | | | | | | |
|
door | | | | | | | | | 96.13 347 | | | | | | | | |
|
HQP-NCC | | | | | | 99.07 207 | | 100.00 1 | | 99.04 13 | 99.17 177 | | | | | | |
|
ACMP_Plane | | | | | | 99.07 207 | | 100.00 1 | | 99.04 13 | 99.17 177 | | | | | | |
|
BP-MVS | | | | | | | | | | | | | | | 99.79 90 | | |
|
HQP4-MVS | | | | | | | | | | | 99.17 177 | | | 99.57 178 | | | 97.77 215 |
|
HQP3-MVS | | | | | | | | | 99.40 154 | | | | | | | 95.58 212 | |
|
HQP2-MVS | | | | | | | | | | | | | 88.61 275 | | | | |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 94.58 242 | |
|
ACMMP++ | | | | | | | | | | | | | | | | 95.17 229 | |
|
Test By Simon | | | | | | | | | | | | | 99.10 78 | | | | |
|