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 |
|
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 |
|
CHOSEN 280x420 | | | 99.85 3 | 99.87 1 | 99.80 95 | 99.99 45 | 99.97 8 | 99.97 198 | 99.98 13 | 98.96 21 | 100.00 1 | 100.00 1 | 99.96 3 | 99.42 207 | 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 55 | 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 49 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
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 82 | 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 43 | 99.99 82 | 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 88 | 100.00 1 | 99.21 71 | 100.00 1 | 100.00 1 | 100.00 1 | 99.99 89 |
|
HSP-MVS | | | 99.81 9 | 99.77 8 | 99.94 59 | 100.00 1 | 99.86 67 | 100.00 1 | 99.42 121 | 98.87 29 | 100.00 1 | 100.00 1 | 99.65 18 | 99.96 114 | 100.00 1 | 100.00 1 | 100.00 1 |
|
test_prior3 | | | 99.81 9 | 99.78 6 | 99.90 72 | 100.00 1 | 99.75 85 | 100.00 1 | 99.73 55 | 98.82 33 | 100.00 1 | 100.00 1 | 99.47 40 | 99.97 99 | 100.00 1 | 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 51 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
XVS | | | 99.79 12 | 99.73 14 | 99.98 16 | 100.00 1 | 99.94 28 | 100.00 1 | 99.75 50 | 98.67 40 | 100.00 1 | 100.00 1 | 99.16 76 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
SteuartSystems-ACMMP | | | 99.78 13 | 99.71 16 | 99.98 16 | 99.76 126 | 99.95 19 | 100.00 1 | 99.42 121 | 98.69 38 | 100.00 1 | 100.00 1 | 99.52 29 | 99.99 82 | 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 85 | 99.01 216 | 99.95 19 | 100.00 1 | 99.75 50 | 99.37 3 | 99.99 76 | 100.00 1 | 99.76 14 | 99.60 174 | 100.00 1 | 100.00 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 26 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
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 76 | 100.00 1 | 99.72 15 | 100.00 1 | 99.96 66 | 100.00 1 | 100.00 1 |
|
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 31 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
#test# | | | 99.75 18 | 99.68 22 | 99.96 36 | 100.00 1 | 99.89 49 | 100.00 1 | 99.76 46 | 98.07 77 | 100.00 1 | 100.00 1 | 99.31 55 | 100.00 1 | 99.99 45 | 100.00 1 | 100.00 1 |
|
Regformer-1 | | | 99.75 18 | 99.68 22 | 99.98 16 | 100.00 1 | 99.94 28 | 100.00 1 | 99.44 106 | 98.43 49 | 100.00 1 | 100.00 1 | 99.23 69 | 99.99 82 | 99.99 45 | 100.00 1 | 100.00 1 |
|
Regformer-2 | | | 99.75 18 | 99.68 22 | 99.97 24 | 100.00 1 | 99.94 28 | 100.00 1 | 99.44 106 | 98.42 51 | 100.00 1 | 100.00 1 | 99.22 70 | 99.99 82 | 99.99 45 | 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 | 99.73 256 | 99.52 76 | 99.06 10 | 100.00 1 | 100.00 1 | 98.80 104 | 100.00 1 | 99.95 71 | 100.00 1 | 100.00 1 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
MG-MVS | | | 99.75 18 | 99.68 22 | 99.97 24 | 100.00 1 | 99.91 39 | 99.98 192 | 99.47 83 | 99.09 7 | 100.00 1 | 100.00 1 | 98.59 112 | 100.00 1 | 99.95 71 | 100.00 1 | 100.00 1 |
|
HFP-MVS | | | 99.74 23 | 99.67 27 | 99.96 36 | 100.00 1 | 99.89 49 | 100.00 1 | 99.76 46 | 97.95 89 | 100.00 1 | 100.00 1 | 99.31 55 | 100.00 1 | 99.99 45 | 100.00 1 | 100.00 1 |
|
ACMMPR | | | 99.74 23 | 99.67 27 | 99.96 36 | 100.00 1 | 99.89 49 | 100.00 1 | 99.76 46 | 97.95 89 | 100.00 1 | 100.00 1 | 99.29 62 | 100.00 1 | 99.99 45 | 100.00 1 | 100.00 1 |
|
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 |
|
Regformer-3 | | | 99.73 26 | 99.65 31 | 99.96 36 | 100.00 1 | 99.89 49 | 100.00 1 | 99.44 106 | 98.40 52 | 100.00 1 | 100.00 1 | 99.03 86 | 99.97 99 | 99.99 45 | 100.00 1 | 100.00 1 |
|
Regformer-4 | | | 99.73 26 | 99.65 31 | 99.95 47 | 100.00 1 | 99.89 49 | 100.00 1 | 99.44 106 | 98.40 52 | 100.00 1 | 100.00 1 | 99.03 86 | 99.97 99 | 99.99 45 | 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 54 | 99.99 82 | 100.00 1 | 100.00 1 | 100.00 1 |
|
region2R | | | 99.72 29 | 99.64 35 | 99.97 24 | 100.00 1 | 99.90 45 | 100.00 1 | 99.74 53 | 97.86 97 | 100.00 1 | 100.00 1 | 99.19 73 | 100.00 1 | 99.99 45 | 100.00 1 | 100.00 1 |
|
API-MVS | | | 99.72 29 | 99.70 17 | 99.79 99 | 99.97 76 | 99.37 126 | 99.96 201 | 99.94 18 | 98.48 47 | 100.00 1 | 100.00 1 | 98.92 96 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
CNLPA | | | 99.72 29 | 99.65 31 | 99.91 69 | 99.97 76 | 99.72 95 | 100.00 1 | 99.47 83 | 98.43 49 | 99.88 121 | 100.00 1 | 99.14 78 | 100.00 1 | 99.97 64 | 100.00 1 | 100.00 1 |
|
SMA-MVS | | | 99.71 32 | 99.62 44 | 99.98 16 | 99.99 45 | 99.95 19 | 100.00 1 | 99.42 121 | 97.61 123 | 100.00 1 | 100.00 1 | 99.55 24 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
train_agg | | | 99.71 32 | 99.63 39 | 99.97 24 | 100.00 1 | 99.95 19 | 100.00 1 | 99.42 121 | 97.70 109 | 100.00 1 | 100.00 1 | 99.51 31 | 99.97 99 | 100.00 1 | 100.00 1 | 100.00 1 |
|
agg_prior3 | | | 99.71 32 | 99.63 39 | 99.97 24 | 100.00 1 | 99.95 19 | 100.00 1 | 99.42 121 | 97.71 108 | 100.00 1 | 100.00 1 | 99.51 31 | 99.97 99 | 100.00 1 | 100.00 1 | 100.00 1 |
|
agg_prior1 | | | 99.71 32 | 99.63 39 | 99.95 47 | 100.00 1 | 99.88 59 | 100.00 1 | 99.42 121 | 97.72 106 | 100.00 1 | 100.00 1 | 99.51 31 | 99.97 99 | 100.00 1 | 100.00 1 | 100.00 1 |
|
MVS_111021_HR | | | 99.71 32 | 99.63 39 | 99.93 62 | 99.95 82 | 99.83 72 | 100.00 1 | 100.00 1 | 98.89 26 | 100.00 1 | 100.00 1 | 97.85 126 | 99.95 120 | 100.00 1 | 100.00 1 | 100.00 1 |
|
EI-MVSNet-Vis-set | | | 99.70 37 | 99.64 35 | 99.87 81 | 100.00 1 | 99.64 105 | 99.98 192 | 99.44 106 | 98.35 59 | 99.99 76 | 100.00 1 | 99.04 83 | 99.96 114 | 99.98 59 | 100.00 1 | 100.00 1 |
|
MVS_111021_LR | | | 99.70 37 | 99.65 31 | 99.88 80 | 99.96 81 | 99.70 100 | 100.00 1 | 99.97 14 | 98.96 21 | 100.00 1 | 100.00 1 | 97.93 125 | 99.95 120 | 99.99 45 | 100.00 1 | 100.00 1 |
|
PLC | | 98.56 2 | 99.70 37 | 99.74 13 | 99.58 128 | 100.00 1 | 98.79 162 | 100.00 1 | 99.54 75 | 98.58 45 | 99.96 88 | 100.00 1 | 99.59 21 | 100.00 1 | 100.00 1 | 100.00 1 | 99.94 116 |
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019 |
EI-MVSNet-UG-set | | | 99.69 40 | 99.63 39 | 99.87 81 | 99.99 45 | 99.64 105 | 99.95 207 | 99.44 106 | 98.35 59 | 100.00 1 | 100.00 1 | 98.98 88 | 99.97 99 | 99.98 59 | 100.00 1 | 100.00 1 |
|
PGM-MVS | | | 99.69 40 | 99.61 45 | 99.95 47 | 99.99 45 | 99.85 70 | 100.00 1 | 99.58 73 | 97.69 111 | 100.00 1 | 100.00 1 | 99.44 44 | 100.00 1 | 99.79 91 | 100.00 1 | 100.00 1 |
|
mPP-MVS | | | 99.69 40 | 99.60 46 | 99.97 24 | 100.00 1 | 99.91 39 | 100.00 1 | 99.42 121 | 97.91 92 | 100.00 1 | 100.00 1 | 99.04 83 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
zzz-MVS | | | 99.68 43 | 99.59 47 | 99.97 24 | 99.99 45 | 99.91 39 | 100.00 1 | 99.42 121 | 98.32 61 | 99.94 109 | 100.00 1 | 98.65 109 | 100.00 1 | 99.96 66 | 100.00 1 | 100.00 1 |
|
MTAPA | | | 99.68 43 | 99.59 47 | 99.97 24 | 99.99 45 | 99.91 39 | 100.00 1 | 99.42 121 | 98.32 61 | 99.94 109 | 100.00 1 | 98.65 109 | 100.00 1 | 99.96 66 | 100.00 1 | 100.00 1 |
|
APD-MVS | | | 99.68 43 | 99.58 49 | 99.97 24 | 99.99 45 | 99.96 10 | 100.00 1 | 99.42 121 | 97.53 131 | 100.00 1 | 100.00 1 | 99.27 66 | 99.97 99 | 100.00 1 | 100.00 1 | 100.00 1 |
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023 |
ACMMP_Plus | | | 99.67 46 | 99.57 51 | 99.97 24 | 99.98 72 | 99.92 36 | 100.00 1 | 99.42 121 | 97.83 98 | 100.00 1 | 100.00 1 | 98.89 99 | 100.00 1 | 99.98 59 | 100.00 1 | 100.00 1 |
|
CP-MVS | | | 99.67 46 | 99.58 49 | 99.95 47 | 100.00 1 | 99.84 71 | 100.00 1 | 99.42 121 | 97.77 103 | 100.00 1 | 100.00 1 | 99.07 80 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
APD-MVS_3200maxsize | | | 99.65 48 | 99.55 55 | 99.97 24 | 99.99 45 | 99.91 39 | 100.00 1 | 99.48 82 | 97.54 130 | 100.00 1 | 100.00 1 | 98.97 89 | 99.99 82 | 99.98 59 | 100.00 1 | 100.00 1 |
|
ACMMP | | | 99.65 48 | 99.57 51 | 99.89 75 | 99.99 45 | 99.66 103 | 99.75 251 | 99.73 55 | 98.16 67 | 99.75 142 | 100.00 1 | 98.90 98 | 100.00 1 | 99.96 66 | 99.88 108 | 100.00 1 |
Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence |
PS-MVSNAJ | | | 99.64 50 | 99.57 51 | 99.85 85 | 99.78 122 | 99.81 78 | 99.95 207 | 99.42 121 | 98.38 55 | 100.00 1 | 100.00 1 | 98.75 106 | 100.00 1 | 99.88 79 | 99.99 88 | 99.74 186 |
|
F-COLMAP | | | 99.64 50 | 99.64 35 | 99.67 115 | 99.99 45 | 99.07 146 | 100.00 1 | 99.44 106 | 98.30 63 | 99.90 117 | 100.00 1 | 99.18 74 | 99.99 82 | 99.91 75 | 100.00 1 | 99.94 116 |
|
1121 | | | 99.63 52 | 99.51 56 | 99.99 5 | 99.99 45 | 99.96 10 | 99.24 303 | 99.74 53 | 97.89 93 | 100.00 1 | 100.00 1 | 99.39 49 | 100.00 1 | 99.33 140 | 100.00 1 | 100.00 1 |
|
EPNet | | | 99.62 53 | 99.69 18 | 99.42 139 | 99.99 45 | 98.37 180 | 100.00 1 | 99.89 38 | 98.83 31 | 100.00 1 | 100.00 1 | 98.97 89 | 100.00 1 | 99.90 76 | 99.61 119 | 99.89 141 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
DELS-MVS | | | 99.62 53 | 99.56 54 | 99.82 89 | 99.92 91 | 99.45 120 | 100.00 1 | 99.78 44 | 98.92 25 | 99.73 143 | 100.00 1 | 97.70 129 | 100.00 1 | 99.93 73 | 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 55 | 99.50 57 | 99.97 24 | 99.98 72 | 99.92 36 | 100.00 1 | 99.42 121 | 97.53 131 | 99.77 139 | 100.00 1 | 98.77 105 | 100.00 1 | 99.99 45 | 100.00 1 | 99.99 89 |
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss |
MP-MVS | | | 99.61 55 | 99.49 59 | 99.98 16 | 99.99 45 | 99.94 28 | 100.00 1 | 99.42 121 | 97.82 100 | 99.99 76 | 100.00 1 | 98.20 119 | 100.00 1 | 99.99 45 | 100.00 1 | 100.00 1 |
|
TSAR-MVS + GP. | | | 99.61 55 | 99.69 18 | 99.35 146 | 99.99 45 | 98.06 211 | 100.00 1 | 99.36 182 | 99.83 2 | 100.00 1 | 100.00 1 | 98.95 92 | 99.99 82 | 100.00 1 | 99.11 124 | 100.00 1 |
|
HPM-MVS_fast | | | 99.60 58 | 99.49 59 | 99.91 69 | 99.99 45 | 99.78 82 | 100.00 1 | 99.42 121 | 97.09 157 | 100.00 1 | 100.00 1 | 98.95 92 | 99.96 114 | 99.98 59 | 100.00 1 | 100.00 1 |
|
HPM-MVS | | | 99.59 59 | 99.50 57 | 99.89 75 | 100.00 1 | 99.70 100 | 100.00 1 | 99.42 121 | 97.46 133 | 100.00 1 | 100.00 1 | 98.60 111 | 99.96 114 | 99.99 45 | 100.00 1 | 100.00 1 |
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023 |
WTY-MVS | | | 99.54 60 | 99.40 62 | 99.95 47 | 99.81 100 | 99.93 33 | 100.00 1 | 100.00 1 | 97.98 84 | 99.84 123 | 100.00 1 | 98.94 94 | 99.98 95 | 99.86 81 | 98.21 160 | 99.94 116 |
|
abl_6 | | | 99.53 61 | 99.40 62 | 99.92 68 | 100.00 1 | 99.76 83 | 100.00 1 | 99.42 121 | 97.21 149 | 100.00 1 | 100.00 1 | 98.12 121 | 100.00 1 | 99.82 90 | 100.00 1 | 100.00 1 |
|
tfpn_ndepth | | | 99.52 62 | 99.39 64 | 99.89 75 | 99.90 94 | 99.83 72 | 100.00 1 | 99.72 61 | 97.95 89 | 99.96 88 | 99.98 141 | 99.94 4 | 99.85 147 | 99.17 149 | 97.91 173 | 100.00 1 |
|
xiu_mvs_v2_base | | | 99.51 63 | 99.41 61 | 99.82 89 | 99.70 131 | 99.73 88 | 99.92 215 | 99.40 155 | 98.15 69 | 100.00 1 | 100.00 1 | 98.50 115 | 100.00 1 | 99.85 83 | 99.13 123 | 99.74 186 |
|
HY-MVS | | 96.53 9 | 99.50 64 | 99.35 70 | 99.96 36 | 99.81 100 | 99.93 33 | 99.64 273 | 100.00 1 | 97.97 86 | 99.84 123 | 99.85 188 | 98.94 94 | 99.99 82 | 99.86 81 | 98.23 159 | 99.95 112 |
|
PHI-MVS | | | 99.50 64 | 99.39 64 | 99.82 89 | 100.00 1 | 99.45 120 | 100.00 1 | 99.94 18 | 96.38 199 | 100.00 1 | 100.00 1 | 98.18 120 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
CPTT-MVS | | | 99.49 66 | 99.38 66 | 99.85 85 | 100.00 1 | 99.54 109 | 100.00 1 | 99.42 121 | 97.58 128 | 99.98 81 | 100.00 1 | 97.43 136 | 100.00 1 | 99.99 45 | 100.00 1 | 100.00 1 |
|
MAR-MVS | | | 99.49 66 | 99.36 68 | 99.89 75 | 99.97 76 | 99.66 103 | 99.74 252 | 99.95 15 | 97.89 93 | 100.00 1 | 100.00 1 | 96.71 160 | 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 68 | 99.36 68 | 99.83 88 | 99.98 72 | 99.60 107 | 100.00 1 | 100.00 1 | 97.79 102 | 100.00 1 | 100.00 1 | 96.57 162 | 99.99 82 | 100.00 1 | 99.88 108 | 99.90 136 |
|
tfpn1000 | | | 99.47 69 | 99.34 72 | 99.87 81 | 99.89 96 | 99.80 80 | 100.00 1 | 99.72 61 | 97.83 98 | 99.96 88 | 99.98 141 | 99.94 4 | 99.82 152 | 98.87 161 | 97.87 176 | 100.00 1 |
|
sss | | | 99.45 70 | 99.34 72 | 99.80 95 | 99.76 126 | 99.50 111 | 100.00 1 | 99.91 37 | 97.72 106 | 99.98 81 | 99.94 176 | 98.45 116 | 100.00 1 | 99.53 125 | 98.75 132 | 99.89 141 |
|
AdaColmap | | | 99.44 71 | 99.26 74 | 99.95 47 | 100.00 1 | 99.86 67 | 99.70 262 | 99.99 10 | 98.53 46 | 99.90 117 | 100.00 1 | 95.34 181 | 100.00 1 | 99.92 74 | 100.00 1 | 100.00 1 |
|
CANet | | | 99.40 72 | 99.24 77 | 99.89 75 | 99.99 45 | 99.76 83 | 100.00 1 | 99.73 55 | 98.40 52 | 99.78 138 | 100.00 1 | 95.28 182 | 99.96 114 | 100.00 1 | 99.99 88 | 99.96 107 |
|
114514_t | | | 99.39 73 | 99.25 75 | 99.81 92 | 99.97 76 | 99.48 118 | 100.00 1 | 99.42 121 | 95.53 222 | 100.00 1 | 100.00 1 | 98.37 118 | 99.95 120 | 99.97 64 | 100.00 1 | 100.00 1 |
|
alignmvs | | | 99.38 74 | 99.21 80 | 99.91 69 | 99.73 129 | 99.92 36 | 100.00 1 | 99.51 80 | 97.61 123 | 100.00 1 | 100.00 1 | 99.06 81 | 99.93 133 | 99.83 86 | 97.12 206 | 99.90 136 |
|
1314 | | | 99.38 74 | 99.19 84 | 99.96 36 | 98.88 231 | 99.89 49 | 99.24 303 | 99.93 32 | 98.88 27 | 98.79 203 | 100.00 1 | 97.02 142 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
xiu_mvs_v1_base_debu | | | 99.35 76 | 99.21 80 | 99.79 99 | 99.67 136 | 99.71 96 | 99.78 242 | 99.36 182 | 98.13 71 | 100.00 1 | 100.00 1 | 97.00 148 | 100.00 1 | 99.83 86 | 99.07 125 | 99.66 195 |
|
xiu_mvs_v1_base | | | 99.35 76 | 99.21 80 | 99.79 99 | 99.67 136 | 99.71 96 | 99.78 242 | 99.36 182 | 98.13 71 | 100.00 1 | 100.00 1 | 97.00 148 | 100.00 1 | 99.83 86 | 99.07 125 | 99.66 195 |
|
xiu_mvs_v1_base_debi | | | 99.35 76 | 99.21 80 | 99.79 99 | 99.67 136 | 99.71 96 | 99.78 242 | 99.36 182 | 98.13 71 | 100.00 1 | 100.00 1 | 97.00 148 | 100.00 1 | 99.83 86 | 99.07 125 | 99.66 195 |
|
PVSNet_Blended_VisFu | | | 99.33 79 | 99.18 85 | 99.78 107 | 99.82 99 | 99.49 114 | 100.00 1 | 99.95 15 | 97.36 139 | 99.63 155 | 100.00 1 | 96.45 166 | 99.95 120 | 99.79 91 | 99.65 118 | 99.89 141 |
|
conf0.01 | | | 99.32 80 | 99.16 86 | 99.80 95 | 99.79 116 | 99.73 88 | 100.00 1 | 99.71 63 | 97.66 112 | 99.71 146 | 100.00 1 | 99.78 6 | 99.70 166 | 98.15 193 | 97.67 195 | 99.97 96 |
|
conf0.002 | | | 99.32 80 | 99.16 86 | 99.80 95 | 99.79 116 | 99.73 88 | 100.00 1 | 99.71 63 | 97.66 112 | 99.71 146 | 100.00 1 | 99.78 6 | 99.70 166 | 98.15 193 | 97.67 195 | 99.97 96 |
|
thresconf0.02 | | | 99.32 80 | 99.16 86 | 99.79 99 | 99.79 116 | 99.73 88 | 100.00 1 | 99.71 63 | 97.66 112 | 99.71 146 | 100.00 1 | 99.78 6 | 99.70 166 | 98.15 193 | 97.67 195 | 99.94 116 |
|
tfpn_n400 | | | 99.32 80 | 99.16 86 | 99.79 99 | 99.79 116 | 99.73 88 | 100.00 1 | 99.71 63 | 97.66 112 | 99.71 146 | 100.00 1 | 99.78 6 | 99.70 166 | 98.15 193 | 97.67 195 | 99.94 116 |
|
tfpnconf | | | 99.32 80 | 99.16 86 | 99.79 99 | 99.79 116 | 99.73 88 | 100.00 1 | 99.71 63 | 97.66 112 | 99.71 146 | 100.00 1 | 99.78 6 | 99.70 166 | 98.15 193 | 97.67 195 | 99.94 116 |
|
tfpnview11 | | | 99.32 80 | 99.16 86 | 99.79 99 | 99.79 116 | 99.73 88 | 100.00 1 | 99.71 63 | 97.66 112 | 99.71 146 | 100.00 1 | 99.78 6 | 99.70 166 | 98.15 193 | 97.67 195 | 99.94 116 |
|
HyFIR lowres test | | | 99.32 80 | 99.24 77 | 99.58 128 | 99.95 82 | 99.26 133 | 100.00 1 | 99.99 10 | 96.72 177 | 99.29 174 | 99.91 180 | 99.49 37 | 99.47 202 | 99.74 99 | 98.08 167 | 100.00 1 |
|
LS3D | | | 99.31 87 | 99.13 93 | 99.87 81 | 99.99 45 | 99.71 96 | 99.55 280 | 99.46 95 | 97.32 143 | 99.82 134 | 100.00 1 | 96.85 157 | 99.97 99 | 99.14 150 | 100.00 1 | 99.92 127 |
|
PVSNet | | 94.91 18 | 99.30 88 | 99.25 75 | 99.44 136 | 100.00 1 | 98.32 186 | 100.00 1 | 99.86 39 | 98.04 79 | 100.00 1 | 100.00 1 | 96.10 170 | 100.00 1 | 99.55 119 | 99.73 115 | 100.00 1 |
|
lupinMVS | | | 99.29 89 | 99.16 86 | 99.69 114 | 99.45 181 | 99.49 114 | 100.00 1 | 99.15 254 | 97.45 134 | 99.97 85 | 100.00 1 | 96.76 158 | 99.76 159 | 99.67 107 | 100.00 1 | 99.81 171 |
|
CSCG | | | 99.28 90 | 99.35 70 | 99.05 164 | 99.99 45 | 97.15 248 | 100.00 1 | 99.47 83 | 97.44 135 | 99.42 167 | 100.00 1 | 97.83 127 | 100.00 1 | 99.99 45 | 100.00 1 | 100.00 1 |
|
thres200 | | | 99.27 91 | 99.04 96 | 99.96 36 | 99.81 100 | 99.90 45 | 100.00 1 | 99.94 18 | 97.31 145 | 99.83 125 | 99.96 160 | 97.04 139 | 100.00 1 | 99.62 112 | 97.88 175 | 99.98 91 |
|
OMC-MVS | | | 99.27 91 | 99.38 66 | 98.96 171 | 99.95 82 | 97.06 252 | 100.00 1 | 99.40 155 | 98.83 31 | 99.88 121 | 100.00 1 | 97.01 143 | 99.86 143 | 99.47 128 | 99.84 111 | 99.97 96 |
|
tfpn200view9 | | | 99.26 93 | 99.03 97 | 99.96 36 | 99.81 100 | 99.89 49 | 100.00 1 | 99.94 18 | 97.23 146 | 99.83 125 | 99.96 160 | 97.04 139 | 100.00 1 | 99.59 113 | 97.85 178 | 99.98 91 |
|
thres400 | | | 99.26 93 | 99.03 97 | 99.95 47 | 99.81 100 | 99.89 49 | 100.00 1 | 99.94 18 | 97.23 146 | 99.83 125 | 99.96 160 | 97.04 139 | 100.00 1 | 99.59 113 | 97.85 178 | 99.97 96 |
|
conf200view11 | | | 99.25 95 | 99.01 99 | 99.95 47 | 99.81 100 | 99.87 62 | 100.00 1 | 99.94 18 | 97.13 153 | 99.83 125 | 99.96 160 | 97.01 143 | 100.00 1 | 99.59 113 | 97.85 178 | 99.97 96 |
|
thres100view900 | | | 99.25 95 | 99.01 99 | 99.95 47 | 99.81 100 | 99.87 62 | 100.00 1 | 99.94 18 | 97.13 153 | 99.83 125 | 99.96 160 | 97.01 143 | 100.00 1 | 99.59 113 | 97.85 178 | 99.98 91 |
|
EPMVS | | | 99.25 95 | 99.13 93 | 99.60 121 | 99.60 151 | 99.20 140 | 99.60 276 | 100.00 1 | 96.93 168 | 99.92 115 | 99.36 248 | 99.05 82 | 99.71 165 | 98.77 166 | 98.94 129 | 99.90 136 |
|
tfpn111 | | | 99.24 98 | 99.00 101 | 99.95 47 | 99.81 100 | 99.87 62 | 100.00 1 | 99.94 18 | 97.13 153 | 99.83 125 | 99.96 160 | 97.01 143 | 100.00 1 | 99.54 122 | 97.77 186 | 99.97 96 |
|
thres600view7 | | | 99.24 98 | 99.00 101 | 99.95 47 | 99.81 100 | 99.87 62 | 100.00 1 | 99.94 18 | 97.13 153 | 99.83 125 | 99.96 160 | 97.01 143 | 100.00 1 | 99.54 122 | 97.77 186 | 99.97 96 |
|
MVS | | | 99.22 100 | 98.96 106 | 99.98 16 | 99.00 220 | 99.95 19 | 99.24 303 | 99.94 18 | 98.14 70 | 98.88 196 | 100.00 1 | 95.63 179 | 100.00 1 | 99.85 83 | 100.00 1 | 100.00 1 |
|
DWT-MVSNet_test | | | 99.22 100 | 99.22 79 | 99.22 157 | 99.56 162 | 97.98 215 | 99.89 221 | 99.39 169 | 97.20 150 | 99.96 88 | 100.00 1 | 99.52 29 | 99.82 152 | 99.11 153 | 98.34 152 | 99.87 160 |
|
view600 | | | 99.18 102 | 98.93 112 | 99.93 62 | 99.81 100 | 99.83 72 | 100.00 1 | 99.94 18 | 96.96 163 | 99.54 157 | 99.96 160 | 96.99 151 | 100.00 1 | 99.43 129 | 97.75 188 | 99.97 96 |
|
view800 | | | 99.18 102 | 98.93 112 | 99.93 62 | 99.81 100 | 99.83 72 | 100.00 1 | 99.94 18 | 96.96 163 | 99.54 157 | 99.96 160 | 96.99 151 | 100.00 1 | 99.43 129 | 97.75 188 | 99.97 96 |
|
conf0.05thres1000 | | | 99.18 102 | 98.93 112 | 99.93 62 | 99.81 100 | 99.83 72 | 100.00 1 | 99.94 18 | 96.96 163 | 99.54 157 | 99.96 160 | 96.99 151 | 100.00 1 | 99.43 129 | 97.75 188 | 99.97 96 |
|
tfpn | | | 99.18 102 | 98.93 112 | 99.93 62 | 99.81 100 | 99.83 72 | 100.00 1 | 99.94 18 | 96.96 163 | 99.54 157 | 99.96 160 | 96.99 151 | 100.00 1 | 99.43 129 | 97.75 188 | 99.97 96 |
|
PatchFormer-LS_test | | | 99.14 106 | 99.12 95 | 99.19 158 | 99.54 163 | 97.86 225 | 99.66 271 | 99.40 155 | 96.94 167 | 99.96 88 | 100.00 1 | 99.29 62 | 99.84 148 | 98.96 156 | 98.29 155 | 99.88 153 |
|
PMMVS | | | 99.12 107 | 98.97 105 | 99.58 128 | 99.57 160 | 98.98 155 | 100.00 1 | 99.30 207 | 97.14 152 | 99.96 88 | 100.00 1 | 96.53 165 | 99.82 152 | 99.70 103 | 98.49 138 | 99.94 116 |
|
jason | | | 99.11 108 | 98.96 106 | 99.59 124 | 99.17 202 | 99.31 129 | 100.00 1 | 99.13 263 | 97.38 138 | 99.83 125 | 100.00 1 | 95.54 180 | 99.72 164 | 99.57 118 | 99.97 98 | 99.74 186 |
jason: jason. |
EPP-MVSNet | | | 99.10 109 | 99.00 101 | 99.40 141 | 99.51 174 | 98.68 167 | 99.92 215 | 99.43 115 | 95.47 228 | 99.65 154 | 100.00 1 | 99.51 31 | 99.76 159 | 99.53 125 | 98.00 169 | 99.75 182 |
|
TESTMET0.1,1 | | | 99.08 110 | 98.96 106 | 99.44 136 | 99.63 145 | 99.38 124 | 100.00 1 | 99.45 97 | 95.53 222 | 99.48 164 | 100.00 1 | 99.71 16 | 99.02 223 | 96.84 235 | 99.99 88 | 99.91 128 |
|
IS-MVSNet | | | 99.08 110 | 98.91 117 | 99.59 124 | 99.65 140 | 99.38 124 | 99.78 242 | 99.24 233 | 96.70 178 | 99.51 162 | 100.00 1 | 98.44 117 | 99.52 196 | 98.47 181 | 98.39 147 | 99.88 153 |
|
UA-Net | | | 99.06 112 | 98.83 123 | 99.74 110 | 99.52 171 | 99.40 123 | 99.08 324 | 99.45 97 | 97.64 121 | 99.83 125 | 100.00 1 | 95.80 173 | 99.94 131 | 98.35 185 | 99.80 114 | 99.88 153 |
|
3Dnovator | | 95.63 14 | 99.06 112 | 98.76 130 | 99.96 36 | 98.86 234 | 99.90 45 | 99.98 192 | 99.93 32 | 98.95 24 | 98.49 226 | 100.00 1 | 92.91 210 | 100.00 1 | 99.71 101 | 100.00 1 | 100.00 1 |
|
VNet | | | 99.04 114 | 98.75 131 | 99.90 72 | 99.81 100 | 99.75 85 | 99.50 285 | 99.47 83 | 98.36 58 | 100.00 1 | 99.99 140 | 94.66 192 | 100.00 1 | 99.90 76 | 97.09 207 | 99.96 107 |
|
canonicalmvs | | | 99.03 115 | 98.73 132 | 99.94 59 | 99.75 128 | 99.95 19 | 100.00 1 | 99.30 207 | 97.64 121 | 100.00 1 | 100.00 1 | 95.22 184 | 99.97 99 | 99.76 97 | 96.90 210 | 99.91 128 |
|
test-LLR | | | 99.03 115 | 98.91 117 | 99.40 141 | 99.40 189 | 99.28 131 | 100.00 1 | 99.45 97 | 96.70 178 | 99.42 167 | 99.12 257 | 99.31 55 | 99.01 224 | 96.82 236 | 99.99 88 | 99.91 128 |
|
PatchmatchNet | | | 99.03 115 | 98.96 106 | 99.26 154 | 99.49 179 | 98.33 183 | 99.38 293 | 99.45 97 | 96.64 183 | 99.96 88 | 99.58 234 | 99.49 37 | 99.50 199 | 97.63 213 | 99.00 128 | 99.93 125 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. |
3Dnovator+ | | 95.58 15 | 99.03 115 | 98.71 134 | 99.96 36 | 98.99 223 | 99.89 49 | 100.00 1 | 99.51 80 | 98.96 21 | 98.32 233 | 100.00 1 | 92.78 211 | 100.00 1 | 99.87 80 | 100.00 1 | 100.00 1 |
|
CANet_DTU | | | 99.02 119 | 98.90 120 | 99.41 140 | 99.88 97 | 98.71 165 | 100.00 1 | 99.29 211 | 98.84 30 | 100.00 1 | 100.00 1 | 94.02 197 | 100.00 1 | 98.08 200 | 99.96 100 | 99.52 201 |
|
PatchMatch-RL | | | 99.02 119 | 98.78 128 | 99.74 110 | 99.99 45 | 99.29 130 | 100.00 1 | 100.00 1 | 98.38 55 | 99.89 120 | 99.81 197 | 93.14 208 | 99.99 82 | 97.85 208 | 99.98 95 | 99.95 112 |
|
CHOSEN 1792x2688 | | | 99.00 121 | 98.91 117 | 99.25 155 | 99.90 94 | 97.79 227 | 100.00 1 | 99.99 10 | 98.79 36 | 98.28 236 | 100.00 1 | 93.63 201 | 99.95 120 | 99.66 109 | 99.95 102 | 100.00 1 |
|
DeepC-MVS | | 97.84 5 | 99.00 121 | 98.80 127 | 99.60 121 | 99.93 88 | 99.03 149 | 100.00 1 | 99.40 155 | 98.61 44 | 99.33 172 | 100.00 1 | 92.23 216 | 99.95 120 | 99.74 99 | 99.96 100 | 99.83 166 |
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020 |
QAPM | | | 98.99 123 | 98.66 136 | 99.96 36 | 99.01 216 | 99.87 62 | 99.88 224 | 99.93 32 | 97.99 82 | 98.68 210 | 100.00 1 | 93.17 207 | 100.00 1 | 99.32 142 | 100.00 1 | 100.00 1 |
|
Vis-MVSNet (Re-imp) | | | 98.99 123 | 98.89 121 | 99.29 151 | 99.64 144 | 98.89 159 | 99.98 192 | 99.31 205 | 96.74 174 | 99.48 164 | 100.00 1 | 98.11 122 | 99.10 219 | 98.39 183 | 98.34 152 | 99.89 141 |
|
MVS_0304 | | | 98.98 125 | 98.66 136 | 99.94 59 | 99.95 82 | 99.86 67 | 100.00 1 | 99.29 211 | 98.38 55 | 99.81 136 | 100.00 1 | 90.60 249 | 100.00 1 | 100.00 1 | 99.91 105 | 99.95 112 |
|
tpmrst | | | 98.98 125 | 98.93 112 | 99.14 161 | 99.61 149 | 97.74 228 | 99.52 283 | 99.36 182 | 96.05 207 | 99.98 81 | 99.64 225 | 99.04 83 | 99.86 143 | 98.94 157 | 98.19 162 | 99.82 169 |
|
test-mter | | | 98.96 127 | 98.82 124 | 99.40 141 | 99.40 189 | 99.28 131 | 100.00 1 | 99.45 97 | 95.44 231 | 99.42 167 | 99.12 257 | 99.70 17 | 99.01 224 | 96.82 236 | 99.99 88 | 99.91 128 |
|
CDS-MVSNet | | | 98.96 127 | 98.95 110 | 99.01 167 | 99.48 180 | 98.36 181 | 99.93 213 | 99.37 176 | 96.79 172 | 99.31 173 | 99.83 191 | 99.77 13 | 98.91 231 | 98.07 201 | 97.98 170 | 99.77 179 |
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022 |
MVSFormer | | | 98.94 129 | 98.82 124 | 99.28 152 | 99.45 181 | 99.49 114 | 100.00 1 | 99.13 263 | 95.46 229 | 99.97 85 | 100.00 1 | 96.76 158 | 98.59 268 | 98.63 174 | 100.00 1 | 99.74 186 |
|
MVS_Test | | | 98.93 130 | 98.65 139 | 99.77 109 | 99.62 147 | 99.50 111 | 99.99 176 | 99.19 245 | 95.52 224 | 99.96 88 | 99.86 186 | 96.54 164 | 99.98 95 | 98.65 172 | 98.48 139 | 99.82 169 |
|
1112_ss | | | 98.91 131 | 98.71 134 | 99.51 132 | 99.69 132 | 98.75 163 | 99.99 176 | 99.15 254 | 96.82 170 | 98.84 200 | 100.00 1 | 97.45 134 | 99.89 139 | 98.66 170 | 97.75 188 | 99.89 141 |
|
MSDG | | | 98.90 132 | 98.63 141 | 99.70 113 | 99.92 91 | 99.25 135 | 100.00 1 | 99.37 176 | 95.71 216 | 99.40 171 | 100.00 1 | 96.58 161 | 99.95 120 | 96.80 238 | 99.94 103 | 99.91 128 |
|
mvs-test1 | | | 98.89 133 | 98.99 104 | 98.60 188 | 99.77 124 | 95.96 265 | 100.00 1 | 98.94 301 | 97.61 123 | 99.93 114 | 99.92 179 | 95.89 171 | 99.93 133 | 99.36 137 | 99.50 120 | 99.90 136 |
|
DP-MVS | | | 98.86 134 | 98.54 148 | 99.81 92 | 99.97 76 | 99.45 120 | 99.52 283 | 99.40 155 | 94.35 250 | 98.36 230 | 100.00 1 | 96.13 169 | 99.97 99 | 99.12 152 | 100.00 1 | 100.00 1 |
|
CostFormer | | | 98.84 135 | 98.77 129 | 99.04 165 | 99.41 185 | 97.58 233 | 99.67 269 | 99.35 190 | 94.66 241 | 99.96 88 | 99.36 248 | 99.28 65 | 99.74 161 | 99.41 135 | 97.81 183 | 99.81 171 |
|
Test_1112_low_res | | | 98.83 136 | 98.60 144 | 99.51 132 | 99.69 132 | 98.75 163 | 99.99 176 | 99.14 258 | 96.81 171 | 98.84 200 | 99.06 261 | 97.45 134 | 99.89 139 | 98.66 170 | 97.75 188 | 99.89 141 |
|
BH-w/o | | | 98.82 137 | 98.81 126 | 98.88 176 | 99.62 147 | 96.71 259 | 100.00 1 | 99.28 219 | 97.09 157 | 98.81 202 | 100.00 1 | 94.91 190 | 99.96 114 | 99.54 122 | 100.00 1 | 99.96 107 |
|
mvs_anonymous | | | 98.80 138 | 98.60 144 | 99.38 144 | 99.57 160 | 99.24 137 | 100.00 1 | 99.21 242 | 95.87 210 | 98.92 193 | 99.82 194 | 96.39 167 | 99.03 222 | 99.13 151 | 98.50 137 | 99.88 153 |
|
TAMVS | | | 98.76 139 | 98.73 132 | 98.86 177 | 99.44 183 | 97.69 229 | 99.57 278 | 99.34 195 | 96.57 187 | 99.12 183 | 99.81 197 | 98.83 101 | 99.16 217 | 97.97 206 | 97.91 173 | 99.73 190 |
|
OpenMVS | | 95.20 17 | 98.76 139 | 98.41 153 | 99.78 107 | 98.89 230 | 99.81 78 | 99.99 176 | 99.76 46 | 98.02 80 | 98.02 247 | 100.00 1 | 91.44 234 | 100.00 1 | 99.63 111 | 99.97 98 | 99.55 199 |
|
dp | | | 98.72 141 | 98.61 143 | 99.03 166 | 99.53 166 | 97.39 237 | 99.45 287 | 99.39 169 | 95.62 219 | 99.94 109 | 99.52 240 | 98.83 101 | 99.82 152 | 96.77 240 | 98.42 144 | 99.89 141 |
|
tpmp4_e23 | | | 98.71 142 | 98.66 136 | 98.84 178 | 99.60 151 | 96.98 254 | 99.83 230 | 99.35 190 | 94.29 251 | 99.90 117 | 99.50 242 | 99.17 75 | 99.73 162 | 98.22 190 | 98.13 164 | 99.81 171 |
|
PVSNet_BlendedMVS | | | 98.71 142 | 98.62 142 | 98.98 170 | 99.98 72 | 99.60 107 | 100.00 1 | 100.00 1 | 97.23 146 | 100.00 1 | 99.03 271 | 96.57 162 | 99.99 82 | 100.00 1 | 94.75 238 | 97.35 305 |
|
ADS-MVSNet | | | 98.70 144 | 98.51 150 | 99.28 152 | 99.51 174 | 98.39 177 | 99.24 303 | 99.44 106 | 95.52 224 | 99.96 88 | 99.70 210 | 97.57 132 | 99.58 178 | 97.11 228 | 98.54 135 | 99.88 153 |
|
PCF-MVS | | 98.23 3 | 98.69 145 | 98.37 156 | 99.62 117 | 99.78 122 | 99.02 150 | 99.23 309 | 99.06 292 | 96.43 194 | 98.08 242 | 100.00 1 | 94.72 191 | 99.95 120 | 98.16 192 | 99.91 105 | 99.90 136 |
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019 |
tpm2 | | | 98.64 146 | 98.58 146 | 98.81 181 | 99.42 184 | 97.12 249 | 99.69 266 | 99.37 176 | 93.63 272 | 99.94 109 | 99.67 218 | 98.96 91 | 99.47 202 | 98.62 176 | 97.95 171 | 99.83 166 |
|
BH-untuned | | | 98.64 146 | 98.65 139 | 98.60 188 | 99.59 154 | 96.17 264 | 100.00 1 | 99.28 219 | 96.67 182 | 98.41 229 | 100.00 1 | 94.52 193 | 99.83 150 | 99.41 135 | 100.00 1 | 99.81 171 |
|
tpmvs | | | 98.59 148 | 98.38 155 | 99.23 156 | 99.69 132 | 97.90 220 | 99.31 298 | 99.47 83 | 94.52 245 | 99.68 153 | 99.28 253 | 97.64 130 | 99.89 139 | 97.71 211 | 98.17 163 | 99.89 141 |
|
Effi-MVS+ | | | 98.58 149 | 98.24 160 | 99.61 118 | 99.60 151 | 99.26 133 | 97.85 340 | 99.10 271 | 96.22 204 | 99.97 85 | 99.89 182 | 93.75 199 | 99.77 158 | 99.43 129 | 98.34 152 | 99.81 171 |
|
MVSTER | | | 98.58 149 | 98.52 149 | 98.77 182 | 99.65 140 | 99.68 102 | 100.00 1 | 99.29 211 | 95.63 218 | 98.65 212 | 99.80 200 | 99.78 6 | 98.88 237 | 98.59 177 | 95.31 222 | 97.73 254 |
|
CVMVSNet | | | 98.56 151 | 98.47 152 | 98.82 179 | 99.11 204 | 97.67 230 | 99.74 252 | 99.47 83 | 97.57 129 | 99.06 188 | 100.00 1 | 95.72 177 | 98.97 228 | 98.21 191 | 97.33 205 | 99.83 166 |
|
AllTest | | | 98.55 152 | 98.40 154 | 98.99 168 | 99.93 88 | 97.35 240 | 100.00 1 | 99.40 155 | 97.08 159 | 99.09 184 | 99.98 141 | 93.37 203 | 99.95 120 | 96.94 231 | 99.84 111 | 99.68 193 |
|
DeepPCF-MVS | | 98.03 4 | 98.54 153 | 99.72 15 | 94.98 303 | 99.99 45 | 84.94 329 | 100.00 1 | 99.42 121 | 99.98 1 | 100.00 1 | 100.00 1 | 98.11 122 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
EPNet_dtu | | | 98.53 154 | 98.23 162 | 99.43 138 | 99.92 91 | 99.01 153 | 99.96 201 | 99.47 83 | 98.80 35 | 99.96 88 | 99.96 160 | 98.56 113 | 99.30 214 | 87.78 320 | 99.68 116 | 100.00 1 |
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023 |
diffmvs | | | 98.52 155 | 98.11 165 | 99.73 112 | 99.59 154 | 99.47 119 | 100.00 1 | 99.19 245 | 93.68 269 | 99.70 152 | 99.75 203 | 95.07 186 | 99.84 148 | 97.57 215 | 98.48 139 | 99.89 141 |
|
Vis-MVSNet | | | 98.52 155 | 98.25 159 | 99.34 147 | 99.68 135 | 98.55 172 | 99.68 268 | 99.41 153 | 97.34 142 | 99.94 109 | 100.00 1 | 90.38 254 | 99.70 166 | 99.03 155 | 98.84 130 | 99.76 181 |
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020 |
Effi-MVS+-dtu | | | 98.51 157 | 98.86 122 | 97.47 252 | 99.77 124 | 94.21 298 | 100.00 1 | 98.94 301 | 97.61 123 | 99.91 116 | 98.75 291 | 95.89 171 | 99.51 198 | 99.36 137 | 99.48 121 | 98.68 208 |
|
BH-RMVSNet | | | 98.46 158 | 98.08 167 | 99.59 124 | 99.61 149 | 99.19 141 | 100.00 1 | 99.28 219 | 97.06 161 | 98.95 192 | 100.00 1 | 88.99 272 | 99.82 152 | 98.83 164 | 100.00 1 | 99.77 179 |
|
cascas | | | 98.43 159 | 98.07 168 | 99.50 134 | 99.65 140 | 99.02 150 | 100.00 1 | 99.22 238 | 94.21 254 | 99.72 144 | 99.98 141 | 92.03 219 | 99.93 133 | 99.68 105 | 98.12 165 | 99.54 200 |
|
ab-mvs | | | 98.42 160 | 98.02 171 | 99.61 118 | 99.71 130 | 99.00 154 | 99.10 322 | 99.64 72 | 96.70 178 | 99.04 189 | 99.81 197 | 90.64 248 | 99.98 95 | 99.64 110 | 97.93 172 | 99.84 163 |
|
UGNet | | | 98.41 161 | 98.11 165 | 99.31 150 | 99.54 163 | 98.55 172 | 99.18 312 | 100.00 1 | 98.64 43 | 99.79 137 | 99.04 266 | 87.61 284 | 100.00 1 | 99.30 143 | 99.89 107 | 99.40 204 |
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+ | | | 98.40 162 | 98.02 171 | 99.55 131 | 99.63 145 | 99.06 147 | 100.00 1 | 99.15 254 | 95.07 233 | 99.42 167 | 99.95 172 | 93.26 206 | 99.73 162 | 97.44 220 | 98.24 158 | 99.87 160 |
|
Fast-Effi-MVS+-dtu | | | 98.38 163 | 98.56 147 | 97.82 241 | 99.58 158 | 94.44 295 | 100.00 1 | 99.16 253 | 96.75 173 | 99.51 162 | 99.63 229 | 95.03 188 | 99.60 174 | 97.71 211 | 99.67 117 | 99.42 203 |
|
XVG-OURS | | | 98.30 164 | 98.36 157 | 98.13 222 | 99.58 158 | 95.91 268 | 100.00 1 | 99.36 182 | 98.69 38 | 99.23 176 | 100.00 1 | 91.20 238 | 99.92 136 | 99.34 139 | 97.82 182 | 98.56 212 |
|
COLMAP_ROB | | 97.10 7 | 98.29 165 | 98.17 164 | 98.65 186 | 99.94 86 | 97.39 237 | 99.30 299 | 99.40 155 | 95.64 217 | 97.75 258 | 100.00 1 | 92.69 213 | 99.95 120 | 98.89 159 | 99.92 104 | 98.62 211 |
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016 |
ADS-MVSNet2 | | | 98.28 166 | 98.51 150 | 97.62 245 | 99.51 174 | 95.03 275 | 99.24 303 | 99.41 153 | 95.52 224 | 99.96 88 | 99.70 210 | 97.57 132 | 97.94 303 | 97.11 228 | 98.54 135 | 99.88 153 |
|
XVG-OURS-SEG-HR | | | 98.27 167 | 98.31 158 | 98.14 219 | 99.59 154 | 95.92 267 | 100.00 1 | 99.36 182 | 98.48 47 | 99.21 177 | 100.00 1 | 89.27 269 | 99.94 131 | 99.76 97 | 99.17 122 | 98.56 212 |
|
tpm | | | 98.24 168 | 98.22 163 | 98.32 202 | 99.13 203 | 95.79 269 | 99.53 282 | 99.12 269 | 95.20 232 | 99.96 88 | 99.36 248 | 97.58 131 | 99.28 215 | 97.41 222 | 96.67 211 | 99.88 153 |
|
Patchmatch-test1 | | | 98.23 169 | 97.91 174 | 99.17 159 | 99.41 185 | 98.25 194 | 99.99 176 | 99.45 97 | 96.91 169 | 99.76 141 | 99.69 212 | 89.65 264 | 99.37 210 | 97.55 216 | 98.79 131 | 99.89 141 |
|
TR-MVS | | | 98.14 170 | 97.74 178 | 99.33 148 | 99.59 154 | 98.28 188 | 99.27 300 | 99.21 242 | 96.42 196 | 99.15 182 | 99.94 176 | 88.87 274 | 99.79 157 | 98.88 160 | 98.29 155 | 99.93 125 |
|
test0.0.03 1 | | | 98.12 171 | 98.03 170 | 98.39 195 | 99.11 204 | 98.07 210 | 100.00 1 | 99.93 32 | 96.70 178 | 96.91 279 | 99.95 172 | 99.31 55 | 98.19 286 | 91.93 295 | 98.44 142 | 98.91 206 |
|
tpm cat1 | | | 98.05 172 | 97.76 177 | 98.92 174 | 99.50 177 | 97.10 251 | 99.77 246 | 99.30 207 | 90.20 306 | 99.72 144 | 98.71 293 | 97.71 128 | 99.86 143 | 96.75 241 | 98.20 161 | 99.81 171 |
|
PS-MVSNAJss | | | 98.03 173 | 98.06 169 | 97.94 236 | 97.63 295 | 97.33 243 | 99.89 221 | 99.23 236 | 96.27 203 | 98.03 245 | 99.59 233 | 98.75 106 | 98.78 246 | 98.52 179 | 94.61 242 | 97.70 267 |
|
CR-MVSNet | | | 98.02 174 | 97.71 181 | 98.93 172 | 99.31 196 | 98.86 160 | 99.13 320 | 99.00 299 | 96.53 190 | 99.96 88 | 98.98 277 | 96.94 155 | 98.10 295 | 91.18 298 | 98.40 145 | 99.84 163 |
|
EI-MVSNet | | | 97.98 175 | 97.93 173 | 98.16 218 | 99.11 204 | 97.84 226 | 99.74 252 | 99.29 211 | 94.39 249 | 98.65 212 | 100.00 1 | 97.21 137 | 98.88 237 | 97.62 214 | 95.31 222 | 97.75 222 |
|
FIs | | | 97.95 176 | 97.73 180 | 98.62 187 | 98.53 244 | 99.24 137 | 100.00 1 | 99.43 115 | 96.74 174 | 97.87 253 | 99.82 194 | 95.27 183 | 98.89 234 | 98.78 165 | 93.07 253 | 97.74 244 |
|
FC-MVSNet-test | | | 97.84 177 | 97.63 182 | 98.45 192 | 98.30 253 | 99.05 148 | 100.00 1 | 99.43 115 | 96.63 185 | 97.61 262 | 99.82 194 | 95.19 185 | 98.57 271 | 98.64 173 | 93.05 254 | 97.73 254 |
|
Patchmatch-test | | | 97.83 178 | 97.42 184 | 99.06 162 | 99.08 207 | 97.66 231 | 98.66 333 | 99.21 242 | 93.65 271 | 98.25 239 | 99.58 234 | 99.47 40 | 99.57 179 | 90.25 309 | 98.59 134 | 99.95 112 |
|
HQP-MVS | | | 97.73 179 | 97.85 175 | 97.39 254 | 99.07 208 | 94.82 279 | 100.00 1 | 99.40 155 | 99.04 13 | 99.17 178 | 99.97 151 | 88.61 276 | 99.57 179 | 99.79 91 | 95.58 213 | 97.77 216 |
|
GA-MVS | | | 97.72 180 | 97.27 189 | 99.06 162 | 99.24 201 | 97.93 219 | 100.00 1 | 99.24 233 | 95.80 215 | 98.99 191 | 99.64 225 | 89.77 262 | 99.36 211 | 95.12 261 | 97.62 202 | 99.89 141 |
|
HQP_MVS | | | 97.71 181 | 97.82 176 | 97.37 255 | 99.00 220 | 94.80 282 | 100.00 1 | 99.40 155 | 99.00 19 | 99.08 186 | 99.97 151 | 88.58 278 | 99.55 188 | 99.79 91 | 95.57 217 | 97.76 218 |
|
nrg030 | | | 97.64 182 | 97.27 189 | 98.75 183 | 98.34 249 | 99.53 110 | 100.00 1 | 99.22 238 | 96.21 205 | 98.27 237 | 99.95 172 | 94.40 194 | 98.98 227 | 99.23 146 | 89.78 291 | 97.75 222 |
|
TAPA-MVS | | 96.40 10 | 97.64 182 | 97.37 187 | 98.45 192 | 99.94 86 | 95.70 270 | 100.00 1 | 99.40 155 | 97.65 119 | 99.53 161 | 100.00 1 | 99.31 55 | 99.66 173 | 80.48 332 | 100.00 1 | 100.00 1 |
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019 |
CLD-MVS | | | 97.64 182 | 97.74 178 | 97.36 256 | 99.01 216 | 94.76 287 | 100.00 1 | 99.34 195 | 99.30 4 | 99.00 190 | 99.97 151 | 87.49 285 | 99.57 179 | 99.96 66 | 95.58 213 | 97.75 222 |
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020 |
IterMVS-LS | | | 97.56 185 | 97.44 183 | 97.92 239 | 99.38 193 | 97.90 220 | 99.89 221 | 99.10 271 | 94.41 248 | 98.32 233 | 99.54 239 | 97.21 137 | 98.11 292 | 97.50 219 | 91.62 266 | 97.75 222 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
test_djsdf | | | 97.55 186 | 97.38 186 | 98.07 226 | 97.50 301 | 97.99 214 | 100.00 1 | 99.13 263 | 95.46 229 | 98.47 227 | 99.85 188 | 92.01 221 | 98.59 268 | 98.63 174 | 95.36 220 | 97.62 290 |
|
IB-MVS | | 96.24 12 | 97.54 187 | 96.95 194 | 99.33 148 | 99.67 136 | 98.10 208 | 100.00 1 | 99.47 83 | 97.42 137 | 99.26 175 | 99.69 212 | 98.83 101 | 99.89 139 | 99.43 129 | 78.77 331 | 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 | | | 97.42 188 | 96.62 206 | 99.81 92 | 99.80 114 | 99.50 111 | 99.16 318 | 99.56 74 | 94.48 247 | 100.00 1 | 100.00 1 | 79.35 329 | 100.00 1 | 99.89 78 | 97.37 204 | 99.94 116 |
|
RPSCF | | | 97.37 189 | 98.24 160 | 94.76 305 | 99.80 114 | 84.57 330 | 99.99 176 | 99.05 294 | 94.95 236 | 99.82 134 | 100.00 1 | 94.03 196 | 100.00 1 | 98.15 193 | 98.38 150 | 99.70 191 |
|
ACMM | | 97.17 6 | 97.37 189 | 97.40 185 | 97.29 258 | 99.01 216 | 94.64 291 | 100.00 1 | 99.25 230 | 98.07 77 | 98.44 228 | 99.98 141 | 87.38 286 | 99.55 188 | 99.25 145 | 95.19 229 | 97.69 272 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
LPG-MVS_test | | | 97.31 191 | 97.32 188 | 97.28 259 | 98.85 235 | 94.60 292 | 100.00 1 | 99.37 176 | 97.35 140 | 98.85 198 | 99.98 141 | 86.66 292 | 99.56 183 | 99.55 119 | 95.26 224 | 97.70 267 |
|
FMVSNet3 | | | 97.30 192 | 96.95 194 | 98.37 197 | 99.65 140 | 99.25 135 | 99.71 260 | 99.28 219 | 94.23 252 | 98.53 222 | 98.91 284 | 93.30 205 | 98.11 292 | 95.31 257 | 93.60 247 | 97.73 254 |
|
UniMVSNet (Re) | | | 97.29 193 | 96.85 198 | 98.59 190 | 98.49 245 | 99.13 144 | 100.00 1 | 99.42 121 | 96.52 191 | 98.24 240 | 98.90 285 | 94.93 189 | 98.89 234 | 97.54 218 | 87.61 309 | 97.75 222 |
|
OPM-MVS | | | 97.21 194 | 97.18 192 | 97.32 257 | 98.08 273 | 94.66 289 | 100.00 1 | 99.28 219 | 98.65 42 | 98.92 193 | 99.98 141 | 86.03 298 | 99.56 183 | 98.28 189 | 95.41 219 | 97.72 259 |
|
ACMP | | 97.00 8 | 97.19 195 | 97.16 193 | 97.27 261 | 98.97 225 | 94.58 294 | 100.00 1 | 99.32 200 | 97.97 86 | 97.45 266 | 99.98 141 | 85.79 300 | 99.56 183 | 99.70 103 | 95.24 227 | 97.67 278 |
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020 |
pmmvs4 | | | 97.17 196 | 96.80 199 | 98.27 206 | 97.68 292 | 98.64 169 | 100.00 1 | 99.18 249 | 94.22 253 | 98.55 220 | 99.71 207 | 93.67 200 | 98.47 278 | 95.66 251 | 92.57 258 | 97.71 266 |
|
anonymousdsp | | | 97.16 197 | 96.88 196 | 98.00 232 | 97.08 312 | 98.06 211 | 99.81 237 | 99.15 254 | 94.58 243 | 97.84 254 | 99.62 231 | 90.49 251 | 98.60 266 | 97.98 203 | 95.32 221 | 97.33 307 |
|
UniMVSNet_NR-MVSNet | | | 97.16 197 | 96.80 199 | 98.22 213 | 98.38 248 | 98.41 175 | 100.00 1 | 99.45 97 | 96.14 206 | 97.76 255 | 99.64 225 | 95.05 187 | 98.50 275 | 97.98 203 | 86.84 312 | 97.75 222 |
|
XXY-MVS | | | 97.14 199 | 96.63 205 | 98.67 185 | 98.65 238 | 98.92 158 | 99.54 281 | 99.29 211 | 95.57 221 | 97.63 260 | 99.83 191 | 87.79 283 | 99.35 212 | 98.39 183 | 92.95 255 | 97.75 222 |
|
WR-MVS | | | 97.09 200 | 96.64 204 | 98.46 191 | 98.43 246 | 99.09 145 | 99.97 198 | 99.33 197 | 95.62 219 | 97.76 255 | 99.67 218 | 91.17 239 | 98.56 272 | 98.49 180 | 89.28 295 | 97.74 244 |
|
JIA-IIPM | | | 97.09 200 | 96.34 215 | 99.36 145 | 98.88 231 | 98.59 170 | 99.81 237 | 99.43 115 | 84.81 331 | 99.96 88 | 90.34 343 | 98.55 114 | 99.52 196 | 97.00 230 | 98.28 157 | 99.98 91 |
|
jajsoiax | | | 97.07 202 | 96.79 201 | 97.89 240 | 97.28 310 | 97.12 249 | 99.95 207 | 99.19 245 | 96.55 188 | 97.31 269 | 99.69 212 | 87.35 288 | 98.91 231 | 98.70 169 | 95.12 233 | 97.66 280 |
|
MIMVSNet | | | 97.06 203 | 96.73 202 | 98.05 230 | 99.38 193 | 96.64 261 | 98.47 336 | 99.35 190 | 93.41 277 | 99.48 164 | 98.53 300 | 89.66 263 | 97.70 307 | 94.16 276 | 98.11 166 | 99.80 178 |
|
X-MVStestdata | | | 97.04 204 | 96.06 231 | 99.98 16 | 100.00 1 | 99.94 28 | 100.00 1 | 99.75 50 | 98.67 40 | 100.00 1 | 66.97 356 | 99.16 76 | 100.00 1 | 100.00 1 | 100.00 1 | 100.00 1 |
|
VPA-MVSNet | | | 97.03 205 | 96.43 213 | 98.82 179 | 98.64 239 | 99.32 128 | 99.38 293 | 99.47 83 | 96.73 176 | 98.91 195 | 98.94 282 | 87.00 290 | 99.40 208 | 99.23 146 | 89.59 292 | 97.76 218 |
|
testpf | | | 97.02 206 | 96.87 197 | 97.44 253 | 99.50 177 | 95.18 273 | 95.70 345 | 99.33 197 | 91.35 298 | 98.00 249 | 99.22 255 | 96.29 168 | 98.49 277 | 94.42 270 | 98.07 168 | 98.67 209 |
|
mvs_tets | | | 97.00 207 | 96.69 203 | 97.94 236 | 97.41 309 | 97.27 244 | 99.60 276 | 99.18 249 | 96.51 192 | 97.35 268 | 99.69 212 | 86.53 294 | 98.91 231 | 98.84 162 | 95.09 234 | 97.65 284 |
|
gg-mvs-nofinetune | | | 96.95 208 | 96.10 229 | 99.50 134 | 99.41 185 | 99.36 127 | 99.07 326 | 99.52 76 | 83.69 334 | 99.96 88 | 83.60 351 | 100.00 1 | 99.20 216 | 99.68 105 | 99.99 88 | 99.96 107 |
|
DU-MVS | | | 96.93 209 | 96.49 210 | 98.22 213 | 98.31 251 | 98.41 175 | 100.00 1 | 99.37 176 | 96.41 197 | 97.76 255 | 99.65 221 | 92.14 217 | 98.50 275 | 97.98 203 | 86.84 312 | 97.75 222 |
|
Patchmtry | | | 96.81 210 | 96.37 214 | 98.14 219 | 99.31 196 | 98.55 172 | 98.91 329 | 99.00 299 | 90.45 303 | 97.92 251 | 98.98 277 | 96.94 155 | 98.12 290 | 94.27 273 | 91.53 267 | 97.75 222 |
|
v1neww | | | 96.77 211 | 96.27 218 | 98.26 208 | 98.16 263 | 98.23 195 | 100.00 1 | 99.09 274 | 93.94 259 | 98.73 207 | 99.05 263 | 91.65 224 | 98.82 242 | 95.75 247 | 90.04 282 | 97.74 244 |
|
v7new | | | 96.77 211 | 96.27 218 | 98.26 208 | 98.16 263 | 98.23 195 | 100.00 1 | 99.09 274 | 93.94 259 | 98.73 207 | 99.05 263 | 91.65 224 | 98.82 242 | 95.75 247 | 90.04 282 | 97.74 244 |
|
v6 | | | 96.77 211 | 96.26 220 | 98.29 204 | 98.10 269 | 98.27 190 | 100.00 1 | 99.09 274 | 93.95 258 | 98.73 207 | 99.06 261 | 91.51 231 | 98.86 239 | 95.83 245 | 90.04 282 | 97.74 244 |
|
ACMH | | 96.25 11 | 96.77 211 | 96.62 206 | 97.21 262 | 98.96 226 | 94.43 296 | 99.64 273 | 99.33 197 | 97.43 136 | 96.55 285 | 99.97 151 | 83.52 311 | 99.54 191 | 99.07 154 | 95.13 232 | 97.66 280 |
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019 |
IterMVS | | | 96.76 215 | 96.46 212 | 97.63 243 | 99.41 185 | 96.89 255 | 99.99 176 | 99.13 263 | 94.74 240 | 97.59 263 | 99.66 220 | 89.63 266 | 98.28 285 | 95.71 249 | 92.31 260 | 97.72 259 |
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. |
CP-MVSNet | | | 96.73 216 | 96.25 221 | 98.18 216 | 98.21 258 | 98.67 168 | 99.77 246 | 99.32 200 | 95.06 234 | 97.20 273 | 99.65 221 | 90.10 256 | 98.19 286 | 98.06 202 | 88.90 299 | 97.66 280 |
|
WR-MVS_H | | | 96.73 216 | 96.32 217 | 97.95 235 | 98.26 255 | 97.88 222 | 99.72 258 | 99.43 115 | 95.06 234 | 96.99 276 | 98.68 294 | 93.02 209 | 98.53 273 | 97.43 221 | 88.33 305 | 97.43 301 |
|
v2v482 | | | 96.70 218 | 96.18 222 | 98.27 206 | 98.04 278 | 98.39 177 | 100.00 1 | 99.13 263 | 94.19 255 | 98.58 219 | 99.08 260 | 90.48 252 | 98.67 261 | 95.69 250 | 90.44 280 | 97.75 222 |
|
divwei89l23v2f112 | | | 96.68 219 | 96.15 225 | 98.25 212 | 98.03 279 | 98.27 190 | 100.00 1 | 99.09 274 | 93.79 262 | 98.59 217 | 99.04 266 | 91.54 230 | 98.73 253 | 95.29 260 | 89.99 286 | 97.75 222 |
|
v1141 | | | 96.66 220 | 96.12 227 | 98.26 208 | 98.05 276 | 98.28 188 | 100.00 1 | 99.09 274 | 93.71 263 | 98.59 217 | 99.04 266 | 91.57 228 | 98.73 253 | 95.05 262 | 90.00 285 | 97.75 222 |
|
v1 | | | 96.66 220 | 96.12 227 | 98.30 203 | 98.09 270 | 98.33 183 | 100.00 1 | 99.09 274 | 93.69 268 | 98.68 210 | 99.04 266 | 91.42 235 | 98.83 241 | 95.05 262 | 89.99 286 | 97.75 222 |
|
V42 | | | 96.65 222 | 96.16 224 | 98.11 225 | 98.17 262 | 98.23 195 | 99.99 176 | 99.09 274 | 93.97 256 | 98.74 206 | 99.05 263 | 91.09 244 | 98.82 242 | 95.46 255 | 89.90 289 | 97.27 308 |
|
v7 | | | 96.64 223 | 96.14 226 | 98.13 222 | 98.18 260 | 97.97 216 | 99.99 176 | 99.09 274 | 93.62 273 | 98.76 204 | 99.30 251 | 91.13 241 | 98.70 258 | 94.37 271 | 90.80 275 | 97.74 244 |
|
EU-MVSNet | | | 96.63 224 | 96.53 208 | 96.94 270 | 97.59 297 | 96.87 256 | 99.76 249 | 99.47 83 | 96.35 200 | 96.85 281 | 99.78 201 | 92.57 214 | 96.27 325 | 95.33 256 | 91.08 272 | 97.68 274 |
|
NR-MVSNet | | | 96.63 224 | 96.04 232 | 98.38 196 | 98.31 251 | 98.98 155 | 99.22 311 | 99.35 190 | 95.87 210 | 94.43 301 | 99.65 221 | 92.73 212 | 98.40 281 | 96.78 239 | 88.05 306 | 97.75 222 |
|
XVG-ACMP-BASELINE | | | 96.60 226 | 96.52 209 | 96.84 281 | 98.41 247 | 93.29 306 | 99.99 176 | 99.32 200 | 97.76 105 | 98.51 225 | 99.29 252 | 81.95 317 | 99.54 191 | 98.40 182 | 95.03 235 | 97.68 274 |
|
VDD-MVS | | | 96.58 227 | 95.99 234 | 98.34 200 | 99.52 171 | 95.33 271 | 99.18 312 | 99.38 173 | 96.64 183 | 99.77 139 | 100.00 1 | 72.51 340 | 100.00 1 | 100.00 1 | 96.94 209 | 99.70 191 |
|
LCM-MVSNet-Re | | | 96.52 228 | 97.21 191 | 94.44 306 | 99.27 199 | 85.80 328 | 99.85 228 | 96.61 346 | 95.98 208 | 92.75 309 | 98.48 301 | 93.97 198 | 97.55 308 | 99.58 117 | 98.43 143 | 99.98 91 |
|
MVP-Stereo | | | 96.51 229 | 96.48 211 | 96.60 289 | 95.65 322 | 94.25 297 | 98.84 331 | 98.16 323 | 95.85 214 | 95.23 295 | 99.04 266 | 92.54 215 | 99.13 218 | 92.98 288 | 99.98 95 | 96.43 317 |
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. |
v1144 | | | 96.51 229 | 95.97 236 | 98.13 222 | 97.98 283 | 98.04 213 | 99.99 176 | 99.08 282 | 93.51 276 | 98.62 215 | 98.98 277 | 90.98 247 | 98.62 263 | 93.79 281 | 90.79 276 | 97.74 244 |
|
ACMH+ | | 96.20 13 | 96.49 231 | 96.33 216 | 97.00 267 | 99.06 212 | 93.80 301 | 99.81 237 | 99.31 205 | 97.32 143 | 95.89 292 | 99.97 151 | 82.62 315 | 99.54 191 | 98.34 186 | 94.63 241 | 97.65 284 |
|
TranMVSNet+NR-MVSNet | | | 96.45 232 | 96.01 233 | 97.79 242 | 98.00 282 | 97.62 232 | 100.00 1 | 99.35 190 | 95.98 208 | 97.31 269 | 99.64 225 | 90.09 257 | 98.00 302 | 96.89 234 | 86.80 315 | 97.75 222 |
|
VPNet | | | 96.41 233 | 95.76 244 | 98.33 201 | 98.61 240 | 98.30 187 | 99.48 286 | 99.45 97 | 96.98 162 | 98.87 197 | 99.88 183 | 81.57 319 | 98.93 229 | 99.22 148 | 87.82 308 | 97.76 218 |
|
PVSNet_0 | | 93.57 19 | 96.41 233 | 95.74 245 | 98.41 194 | 99.84 98 | 95.22 272 | 100.00 1 | 100.00 1 | 98.08 76 | 97.55 264 | 99.78 201 | 84.40 305 | 100.00 1 | 100.00 1 | 81.99 323 | 100.00 1 |
|
v144192 | | | 96.40 235 | 95.81 240 | 98.17 217 | 97.89 287 | 98.11 207 | 99.99 176 | 99.06 292 | 93.39 278 | 98.75 205 | 99.09 259 | 90.43 253 | 98.66 262 | 93.10 287 | 90.55 279 | 97.75 222 |
|
VDDNet | | | 96.39 236 | 95.55 252 | 98.90 175 | 99.27 199 | 97.45 234 | 99.15 319 | 99.92 36 | 91.28 299 | 99.98 81 | 100.00 1 | 73.55 338 | 100.00 1 | 99.85 83 | 96.98 208 | 99.24 205 |
|
tfpnnormal | | | 96.36 237 | 95.69 249 | 98.37 197 | 98.55 242 | 98.71 165 | 99.69 266 | 99.45 97 | 93.16 284 | 96.69 284 | 99.71 207 | 88.44 280 | 98.99 226 | 94.17 274 | 91.38 269 | 97.41 302 |
|
v8 | | | 96.35 238 | 95.73 246 | 98.21 215 | 98.11 268 | 98.23 195 | 99.94 211 | 99.07 284 | 92.66 288 | 98.29 235 | 99.00 276 | 91.46 233 | 98.77 249 | 94.17 274 | 88.83 301 | 97.62 290 |
|
PS-CasMVS | | | 96.34 239 | 95.78 243 | 98.03 231 | 98.18 260 | 98.27 190 | 99.71 260 | 99.32 200 | 94.75 238 | 96.82 282 | 99.65 221 | 86.98 291 | 98.15 288 | 97.74 210 | 88.85 300 | 97.66 280 |
|
LTVRE_ROB | | 95.29 16 | 96.32 240 | 96.10 229 | 96.99 268 | 98.55 242 | 93.88 300 | 99.45 287 | 99.28 219 | 94.50 246 | 96.46 286 | 99.52 240 | 84.86 303 | 99.48 201 | 97.26 225 | 95.03 235 | 97.59 294 |
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 | | | 96.29 241 | 95.84 239 | 97.63 243 | 97.74 290 | 96.53 262 | 100.00 1 | 99.07 284 | 93.52 275 | 98.01 248 | 99.42 247 | 91.22 237 | 98.60 266 | 96.37 243 | 87.22 311 | 97.75 222 |
|
DI_MVS_plusplus_test | | | 96.28 242 | 95.16 265 | 99.61 118 | 96.01 319 | 99.18 142 | 100.00 1 | 99.29 211 | 96.49 193 | 89.08 316 | 98.42 305 | 80.06 324 | 99.90 137 | 98.74 168 | 98.39 147 | 99.75 182 |
|
test_normal | | | 96.24 243 | 95.12 267 | 99.60 121 | 96.00 320 | 99.16 143 | 100.00 1 | 99.29 211 | 96.43 194 | 88.96 319 | 98.40 306 | 80.06 324 | 99.90 137 | 98.53 178 | 98.39 147 | 99.75 182 |
|
FMVSNet2 | | | 96.22 244 | 95.60 251 | 98.06 229 | 99.53 166 | 98.33 183 | 99.45 287 | 99.27 226 | 93.71 263 | 98.03 245 | 98.84 287 | 84.23 307 | 98.10 295 | 93.97 279 | 93.40 250 | 97.73 254 |
|
LF4IMVS | | | 96.19 245 | 96.18 222 | 96.23 295 | 98.26 255 | 92.09 315 | 100.00 1 | 97.89 333 | 97.82 100 | 97.94 250 | 99.87 184 | 82.71 314 | 99.38 209 | 97.41 222 | 93.71 246 | 97.20 309 |
|
v1192 | | | 96.18 246 | 95.49 255 | 98.26 208 | 98.01 280 | 98.15 205 | 99.99 176 | 99.08 282 | 93.36 279 | 98.54 221 | 98.97 280 | 89.47 267 | 98.89 234 | 91.15 299 | 90.82 274 | 97.75 222 |
|
testgi | | | 96.18 246 | 95.93 237 | 96.93 271 | 98.98 224 | 94.20 299 | 100.00 1 | 99.07 284 | 97.16 151 | 96.06 289 | 99.86 186 | 84.08 310 | 97.79 305 | 90.38 306 | 97.80 184 | 98.81 207 |
|
v1921920 | | | 96.16 248 | 95.50 253 | 98.14 219 | 97.88 288 | 97.96 217 | 99.99 176 | 99.07 284 | 93.33 280 | 98.60 216 | 99.24 254 | 89.37 268 | 98.71 257 | 91.28 297 | 90.74 277 | 97.75 222 |
|
Baseline_NR-MVSNet | | | 96.16 248 | 95.70 247 | 97.56 248 | 98.28 254 | 96.79 258 | 100.00 1 | 97.86 334 | 91.93 294 | 97.63 260 | 99.47 245 | 92.14 217 | 98.35 283 | 97.13 227 | 86.83 314 | 97.54 297 |
|
v10 | | | 96.14 250 | 95.50 253 | 98.07 226 | 98.19 259 | 97.96 217 | 99.83 230 | 99.07 284 | 92.10 292 | 98.07 244 | 98.94 282 | 91.07 245 | 98.61 264 | 92.41 294 | 89.82 290 | 97.63 288 |
|
OurMVSNet-221017-0 | | | 96.14 250 | 95.98 235 | 96.62 288 | 97.49 303 | 93.44 304 | 99.92 215 | 98.16 323 | 95.86 212 | 97.65 259 | 99.95 172 | 85.71 301 | 98.78 246 | 94.93 265 | 94.18 245 | 97.64 287 |
|
GBi-Net | | | 96.07 252 | 95.80 241 | 96.89 273 | 99.53 166 | 94.87 276 | 99.18 312 | 99.27 226 | 93.71 263 | 98.53 222 | 98.81 288 | 84.23 307 | 98.07 298 | 95.31 257 | 93.60 247 | 97.72 259 |
|
test1 | | | 96.07 252 | 95.80 241 | 96.89 273 | 99.53 166 | 94.87 276 | 99.18 312 | 99.27 226 | 93.71 263 | 98.53 222 | 98.81 288 | 84.23 307 | 98.07 298 | 95.31 257 | 93.60 247 | 97.72 259 |
|
v7n | | | 96.06 254 | 95.42 259 | 97.99 234 | 97.58 298 | 97.35 240 | 99.86 227 | 99.11 270 | 92.81 287 | 97.91 252 | 99.49 243 | 90.99 246 | 98.92 230 | 92.51 291 | 88.49 304 | 97.70 267 |
|
PEN-MVS | | | 96.01 255 | 95.48 257 | 97.58 247 | 97.74 290 | 97.26 245 | 99.90 218 | 99.29 211 | 94.55 244 | 96.79 283 | 99.55 237 | 87.38 286 | 97.84 304 | 96.92 233 | 87.24 310 | 97.65 284 |
|
v1240 | | | 95.96 256 | 95.25 263 | 98.07 226 | 97.91 286 | 97.87 224 | 99.96 201 | 99.07 284 | 93.24 282 | 98.64 214 | 98.96 281 | 88.98 273 | 98.61 264 | 89.58 312 | 90.92 273 | 97.75 222 |
|
pmmvs5 | | | 95.94 257 | 95.61 250 | 96.95 269 | 97.42 307 | 94.66 289 | 100.00 1 | 98.08 327 | 93.60 274 | 97.05 275 | 99.43 246 | 87.02 289 | 98.46 279 | 95.76 246 | 92.12 261 | 97.72 259 |
|
PatchT | | | 95.90 258 | 94.95 271 | 98.75 183 | 99.03 214 | 98.39 177 | 99.08 324 | 99.32 200 | 85.52 327 | 99.96 88 | 94.99 336 | 97.94 124 | 98.05 301 | 80.20 333 | 98.47 141 | 99.81 171 |
|
USDC | | | 95.90 258 | 95.70 247 | 96.50 290 | 98.60 241 | 92.56 313 | 100.00 1 | 98.30 319 | 97.77 103 | 96.92 277 | 99.94 176 | 81.25 323 | 99.45 204 | 93.54 285 | 94.96 237 | 97.49 298 |
|
V4 | | | 95.89 260 | 95.36 260 | 97.49 250 | 97.65 294 | 97.40 236 | 99.88 224 | 99.07 284 | 92.19 290 | 98.08 242 | 99.01 274 | 90.20 255 | 98.72 255 | 93.57 284 | 88.63 302 | 96.34 318 |
|
LP | | | 95.89 260 | 95.35 261 | 97.51 249 | 98.92 228 | 95.15 274 | 98.66 333 | 99.39 169 | 89.43 317 | 97.22 272 | 99.03 271 | 94.37 195 | 97.74 306 | 83.71 327 | 97.44 203 | 99.63 198 |
|
v52 | | | 95.88 262 | 95.35 261 | 97.48 251 | 97.66 293 | 97.38 239 | 99.88 224 | 99.07 284 | 92.19 290 | 98.09 241 | 99.02 273 | 90.06 258 | 98.72 255 | 93.58 283 | 88.61 303 | 96.34 318 |
|
pm-mvs1 | | | 95.76 263 | 95.01 269 | 98.00 232 | 98.23 257 | 97.45 234 | 99.24 303 | 99.04 297 | 93.13 285 | 95.93 291 | 99.72 205 | 86.28 295 | 98.84 240 | 95.62 253 | 87.92 307 | 97.72 259 |
|
SixPastTwentyTwo | | | 95.71 264 | 95.49 255 | 96.38 292 | 97.42 307 | 93.01 307 | 99.84 229 | 98.23 320 | 94.75 238 | 95.98 290 | 99.97 151 | 85.35 302 | 98.43 280 | 94.71 266 | 93.17 252 | 97.69 272 |
|
MS-PatchMatch | | | 95.66 265 | 95.87 238 | 95.05 301 | 97.80 289 | 89.25 323 | 98.88 330 | 99.30 207 | 96.35 200 | 96.86 280 | 99.01 274 | 81.35 322 | 99.43 205 | 93.30 286 | 99.98 95 | 96.46 316 |
|
DTE-MVSNet | | | 95.52 266 | 94.99 270 | 97.08 264 | 97.49 303 | 96.45 263 | 100.00 1 | 99.25 230 | 93.82 261 | 96.17 287 | 99.57 236 | 87.81 282 | 97.18 309 | 94.57 267 | 86.26 317 | 97.62 290 |
|
TinyColmap | | | 95.50 267 | 95.12 267 | 96.64 287 | 98.69 237 | 93.00 308 | 99.40 291 | 97.75 335 | 96.40 198 | 96.14 288 | 99.87 184 | 79.47 328 | 99.50 199 | 93.62 282 | 94.72 240 | 97.40 303 |
|
v748 | | | 95.47 268 | 94.95 271 | 97.04 265 | 97.46 306 | 94.76 287 | 99.93 213 | 99.10 271 | 91.95 293 | 97.11 274 | 99.18 256 | 89.94 261 | 98.68 259 | 94.01 278 | 85.88 318 | 97.67 278 |
|
K. test v3 | | | 95.46 269 | 95.14 266 | 96.40 291 | 97.53 300 | 93.40 305 | 99.99 176 | 99.23 236 | 95.49 227 | 92.70 310 | 99.73 204 | 84.26 306 | 98.12 290 | 93.94 280 | 93.38 251 | 97.68 274 |
|
FMVSNet5 | | | 95.32 270 | 95.43 258 | 94.99 302 | 99.39 192 | 92.99 309 | 99.25 302 | 99.24 233 | 90.45 303 | 97.44 267 | 98.45 302 | 95.78 174 | 94.39 334 | 87.02 321 | 91.88 264 | 97.59 294 |
|
DSMNet-mixed | | | 95.18 271 | 95.21 264 | 95.08 300 | 96.03 318 | 90.21 321 | 99.65 272 | 93.64 351 | 92.91 286 | 98.34 232 | 97.40 313 | 90.05 259 | 95.51 332 | 91.02 300 | 97.86 177 | 99.51 202 |
|
RPMNet | | | 95.10 272 | 93.82 275 | 98.93 172 | 99.31 196 | 98.86 160 | 99.13 320 | 99.38 173 | 79.82 339 | 99.96 88 | 95.13 334 | 95.69 178 | 98.10 295 | 77.54 339 | 98.40 145 | 99.84 163 |
|
TransMVSNet (Re) | | | 94.78 273 | 93.72 276 | 97.93 238 | 98.34 249 | 97.88 222 | 99.23 309 | 97.98 331 | 91.60 296 | 94.55 299 | 99.71 207 | 87.89 281 | 98.36 282 | 89.30 317 | 84.92 319 | 97.56 296 |
|
FMVSNet1 | | | 94.45 274 | 93.63 278 | 96.89 273 | 98.87 233 | 94.87 276 | 99.18 312 | 99.27 226 | 90.95 302 | 97.31 269 | 98.81 288 | 72.89 339 | 98.07 298 | 92.61 289 | 92.81 256 | 97.72 259 |
|
test_0402 | | | 94.35 275 | 93.70 277 | 96.32 293 | 97.92 285 | 93.60 302 | 99.61 275 | 98.85 306 | 88.19 323 | 94.68 298 | 99.48 244 | 80.01 327 | 98.58 270 | 89.39 315 | 95.15 231 | 96.77 313 |
|
UnsupCasMVSNet_eth | | | 94.25 276 | 93.89 274 | 95.34 299 | 97.63 295 | 92.13 314 | 99.73 256 | 99.36 182 | 94.88 237 | 92.78 307 | 98.63 297 | 82.72 313 | 96.53 315 | 94.57 267 | 84.73 320 | 97.36 304 |
|
MVS-HIRNet | | | 94.12 277 | 92.73 286 | 98.29 204 | 99.33 195 | 95.95 266 | 99.38 293 | 99.19 245 | 74.54 341 | 98.26 238 | 86.34 347 | 86.07 296 | 99.06 221 | 91.60 296 | 99.87 110 | 99.85 162 |
|
new_pmnet | | | 94.11 278 | 93.47 280 | 96.04 297 | 96.60 315 | 92.82 310 | 99.97 198 | 98.91 304 | 90.21 305 | 95.26 294 | 98.05 310 | 85.89 299 | 98.14 289 | 84.28 326 | 92.01 263 | 97.16 310 |
|
pmmvs6 | | | 93.64 279 | 92.87 284 | 95.94 298 | 97.47 305 | 91.41 320 | 98.92 328 | 99.02 298 | 87.84 324 | 95.01 296 | 99.61 232 | 77.24 334 | 98.77 249 | 94.33 272 | 86.41 316 | 97.63 288 |
|
v18 | | | 93.55 280 | 92.42 288 | 96.91 272 | 98.12 266 | 98.26 193 | 99.83 230 | 98.74 308 | 89.99 308 | 88.94 320 | 95.64 323 | 92.02 220 | 96.54 312 | 90.27 308 | 78.26 332 | 95.94 326 |
|
v17 | | | 93.53 281 | 92.42 288 | 96.88 277 | 98.09 270 | 98.16 203 | 99.83 230 | 98.74 308 | 89.95 309 | 89.05 317 | 95.65 322 | 91.99 222 | 96.54 312 | 90.31 307 | 78.15 334 | 95.95 324 |
|
Patchmatch-RL test | | | 93.49 282 | 93.63 278 | 93.05 314 | 91.78 331 | 83.41 331 | 98.21 338 | 96.95 342 | 91.58 297 | 91.05 312 | 97.64 312 | 99.40 48 | 95.83 329 | 94.11 277 | 81.95 324 | 99.91 128 |
|
v16 | | | 93.48 283 | 92.34 290 | 96.89 273 | 98.13 265 | 98.19 201 | 99.82 235 | 98.74 308 | 89.94 310 | 88.90 321 | 95.62 324 | 91.65 224 | 96.54 312 | 90.03 310 | 78.22 333 | 95.95 324 |
|
Anonymous20231206 | | | 93.45 284 | 93.17 282 | 94.30 308 | 95.00 326 | 89.69 322 | 99.98 192 | 98.43 318 | 93.30 281 | 94.50 300 | 98.59 298 | 90.52 250 | 95.73 330 | 77.46 340 | 90.73 278 | 97.48 300 |
|
v15 | | | 93.28 285 | 92.08 291 | 96.87 278 | 98.07 274 | 98.22 199 | 99.82 235 | 98.74 308 | 89.83 311 | 88.74 323 | 95.44 328 | 91.55 229 | 96.47 316 | 89.70 311 | 76.87 336 | 95.93 327 |
|
V14 | | | 93.24 286 | 92.04 292 | 96.87 278 | 98.07 274 | 98.20 200 | 99.80 240 | 98.74 308 | 89.76 313 | 88.64 324 | 95.53 325 | 91.47 232 | 96.47 316 | 89.49 313 | 76.84 337 | 95.92 328 |
|
V9 | | | 93.20 287 | 91.99 294 | 96.85 280 | 98.05 276 | 98.16 203 | 99.77 246 | 98.73 314 | 89.67 314 | 88.64 324 | 95.44 328 | 91.34 236 | 96.47 316 | 89.46 314 | 76.79 338 | 95.92 328 |
|
v13 | | | 93.18 288 | 91.97 295 | 96.81 283 | 98.12 266 | 98.12 206 | 99.74 252 | 98.73 314 | 89.47 316 | 88.52 326 | 95.40 332 | 91.72 223 | 96.41 319 | 89.23 319 | 76.77 339 | 95.92 328 |
|
v12 | | | 93.18 288 | 91.97 295 | 96.80 284 | 98.09 270 | 98.10 208 | 99.76 249 | 98.73 314 | 89.61 315 | 88.45 327 | 95.41 331 | 91.63 227 | 96.39 321 | 89.32 316 | 76.76 340 | 95.91 331 |
|
v11 | | | 93.14 290 | 91.93 297 | 96.77 286 | 98.01 280 | 98.17 202 | 99.72 258 | 98.74 308 | 89.39 318 | 88.81 322 | 95.49 327 | 91.15 240 | 96.29 323 | 86.78 322 | 79.25 329 | 95.86 333 |
|
test20.03 | | | 93.11 291 | 92.85 285 | 93.88 313 | 95.19 325 | 91.83 316 | 100.00 1 | 98.87 305 | 93.68 269 | 92.76 308 | 98.88 286 | 89.20 270 | 92.71 339 | 77.88 338 | 89.19 296 | 97.09 311 |
|
EG-PatchMatch MVS | | | 92.94 292 | 92.49 287 | 94.29 309 | 95.87 321 | 87.07 327 | 99.07 326 | 98.11 326 | 93.19 283 | 88.98 318 | 98.66 296 | 70.89 341 | 99.08 220 | 92.43 293 | 95.21 228 | 96.72 314 |
|
Test4 | | | 92.63 293 | 90.45 304 | 99.17 159 | 92.81 330 | 99.02 150 | 99.98 192 | 99.13 263 | 96.60 186 | 82.04 339 | 96.27 318 | 51.35 348 | 98.75 252 | 97.55 216 | 98.36 151 | 99.75 182 |
|
MDA-MVSNet_test_wron | | | 92.61 294 | 91.09 300 | 97.19 263 | 96.71 314 | 97.26 245 | 100.00 1 | 99.14 258 | 88.61 320 | 67.90 347 | 98.32 309 | 89.03 271 | 96.57 311 | 90.47 305 | 89.59 292 | 97.74 244 |
|
test2356 | | | 92.55 295 | 93.94 273 | 88.39 321 | 93.49 329 | 78.42 335 | 100.00 1 | 99.40 155 | 91.64 295 | 93.93 303 | 98.74 292 | 91.11 242 | 88.67 344 | 79.37 335 | 97.79 185 | 98.08 214 |
|
YYNet1 | | | 92.44 296 | 90.92 301 | 97.03 266 | 96.20 316 | 97.06 252 | 99.99 176 | 99.14 258 | 88.21 322 | 67.93 346 | 98.43 304 | 88.63 275 | 96.28 324 | 90.64 301 | 89.08 298 | 97.74 244 |
|
MIMVSNet1 | | | 91.96 297 | 91.20 298 | 94.23 310 | 94.94 327 | 91.69 318 | 99.34 296 | 99.22 238 | 88.23 321 | 94.18 302 | 98.45 302 | 75.52 337 | 93.41 338 | 79.37 335 | 91.49 268 | 97.60 293 |
|
TDRefinement | | | 91.93 298 | 90.48 303 | 96.27 294 | 81.60 346 | 92.65 312 | 99.10 322 | 97.61 338 | 93.96 257 | 93.77 305 | 99.85 188 | 80.03 326 | 99.53 195 | 97.82 209 | 70.59 343 | 96.63 315 |
|
OpenMVS_ROB | | 88.34 20 | 91.89 299 | 91.12 299 | 94.19 311 | 95.55 323 | 87.63 326 | 99.26 301 | 98.03 328 | 86.61 326 | 90.65 315 | 96.82 314 | 70.14 342 | 98.78 246 | 86.54 323 | 96.50 212 | 96.15 320 |
|
N_pmnet | | | 91.88 300 | 93.37 281 | 87.40 323 | 97.24 311 | 66.33 348 | 99.90 218 | 91.05 353 | 89.77 312 | 95.65 293 | 98.58 299 | 90.05 259 | 98.11 292 | 85.39 324 | 92.72 257 | 97.75 222 |
|
pmmvs-eth3d | | | 91.73 301 | 90.67 302 | 94.92 304 | 91.63 333 | 92.71 311 | 99.90 218 | 98.54 317 | 91.19 300 | 88.08 328 | 95.50 326 | 79.31 330 | 96.13 326 | 90.55 304 | 81.32 326 | 95.91 331 |
|
MDA-MVSNet-bldmvs | | | 91.65 302 | 89.94 305 | 96.79 285 | 96.72 313 | 96.70 260 | 99.42 290 | 98.94 301 | 88.89 319 | 66.97 349 | 98.37 307 | 81.43 320 | 95.91 328 | 89.24 318 | 89.46 294 | 97.75 222 |
|
testus | | | 91.61 303 | 92.92 283 | 87.70 322 | 93.91 328 | 74.98 339 | 100.00 1 | 98.19 322 | 92.59 289 | 93.90 304 | 98.68 294 | 81.43 320 | 90.77 342 | 79.82 334 | 97.71 194 | 97.34 306 |
|
testing_2 | | | 90.79 304 | 88.26 310 | 98.35 199 | 89.11 337 | 98.56 171 | 99.70 262 | 99.14 258 | 93.70 267 | 73.80 342 | 94.06 338 | 55.19 345 | 98.76 251 | 97.17 226 | 92.50 259 | 97.74 244 |
|
CMPMVS | | 66.12 22 | 90.65 305 | 92.04 292 | 86.46 325 | 96.18 317 | 66.87 347 | 98.03 339 | 99.38 173 | 83.38 335 | 85.49 334 | 99.55 237 | 77.59 333 | 98.80 245 | 94.44 269 | 94.31 244 | 93.72 338 |
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011 |
pmmvs3 | | | 90.62 306 | 89.36 307 | 94.40 307 | 90.53 335 | 91.49 319 | 100.00 1 | 96.73 344 | 84.21 333 | 93.65 306 | 96.65 315 | 82.56 316 | 94.83 333 | 82.28 329 | 77.62 335 | 96.89 312 |
|
new-patchmatchnet | | | 90.30 307 | 89.46 306 | 92.84 315 | 90.77 334 | 88.55 325 | 99.83 230 | 98.80 307 | 90.07 307 | 87.86 329 | 95.00 335 | 78.77 331 | 94.30 335 | 84.86 325 | 79.15 330 | 95.68 335 |
|
UnsupCasMVSNet_bld | | | 89.50 308 | 88.00 311 | 93.99 312 | 95.30 324 | 88.86 324 | 98.52 335 | 99.28 219 | 85.50 330 | 87.80 330 | 94.11 337 | 61.63 344 | 96.96 310 | 90.63 302 | 79.26 328 | 96.15 320 |
|
1111 | | | 88.62 309 | 89.13 308 | 87.08 324 | 87.71 338 | 77.22 336 | 99.96 201 | 97.71 336 | 85.51 328 | 83.47 337 | 96.26 319 | 95.76 175 | 90.96 340 | 66.63 346 | 89.17 297 | 93.07 339 |
|
PM-MVS | | | 88.39 310 | 87.41 312 | 91.31 316 | 91.73 332 | 82.02 333 | 99.79 241 | 96.62 345 | 91.06 301 | 90.71 314 | 95.73 321 | 48.60 350 | 95.96 327 | 90.56 303 | 81.91 325 | 95.97 323 |
|
test1235678 | | | 88.02 311 | 88.73 309 | 85.90 327 | 87.57 340 | 71.70 343 | 100.00 1 | 97.42 339 | 87.52 325 | 86.19 332 | 96.39 317 | 81.60 318 | 87.93 345 | 70.72 343 | 91.18 271 | 98.08 214 |
|
test12356 | | | 86.30 312 | 87.15 313 | 83.77 331 | 84.24 343 | 72.00 341 | 99.94 211 | 96.80 343 | 84.63 332 | 85.16 335 | 96.51 316 | 77.02 335 | 86.31 348 | 70.06 344 | 89.93 288 | 93.00 340 |
|
.test1245 | | | 85.18 313 | 84.81 314 | 86.28 326 | 87.71 338 | 77.22 336 | 99.96 201 | 97.71 336 | 85.51 328 | 83.47 337 | 96.26 319 | 95.76 175 | 90.96 340 | 66.63 346 | 50.30 347 | 90.64 343 |
|
Gipuma | | | 84.73 314 | 83.50 315 | 88.40 320 | 97.50 301 | 82.21 332 | 88.87 348 | 99.05 294 | 65.81 344 | 85.71 333 | 90.49 342 | 53.70 346 | 96.31 322 | 78.64 337 | 91.74 265 | 86.67 347 |
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015 |
Anonymous20231211 | | | 84.35 315 | 82.41 316 | 90.15 317 | 89.14 336 | 78.88 334 | 98.71 332 | 98.22 321 | 70.20 343 | 86.88 331 | 95.44 328 | 47.11 352 | 95.72 331 | 81.14 330 | 74.88 341 | 95.84 334 |
|
testmvs | | | 80.17 316 | 81.95 317 | 74.80 337 | 58.54 357 | 59.58 355 | 100.00 1 | 87.14 357 | 76.09 340 | 99.61 156 | 100.00 1 | 67.06 343 | 74.19 356 | 98.84 162 | 50.30 347 | 90.64 343 |
|
testmv | | | 79.83 317 | 79.77 318 | 79.99 334 | 78.22 350 | 63.55 351 | 99.67 269 | 95.51 349 | 80.89 337 | 76.24 341 | 92.90 340 | 52.16 347 | 86.10 349 | 62.45 349 | 79.90 327 | 90.33 345 |
|
test123 | | | 79.44 318 | 79.23 320 | 80.05 333 | 80.03 348 | 71.72 342 | 100.00 1 | 77.93 360 | 62.52 345 | 94.81 297 | 99.69 212 | 78.21 332 | 74.53 355 | 92.57 290 | 27.33 355 | 93.90 336 |
|
PMMVS2 | | | 79.15 319 | 77.28 321 | 84.76 330 | 82.34 345 | 72.66 340 | 99.70 262 | 95.11 350 | 71.68 342 | 84.78 336 | 90.87 341 | 32.05 355 | 89.99 343 | 75.53 341 | 63.45 344 | 91.64 341 |
|
LCM-MVSNet | | | 79.01 320 | 76.93 322 | 85.27 329 | 78.28 349 | 68.01 346 | 96.57 343 | 98.03 328 | 55.10 349 | 82.03 340 | 93.27 339 | 31.99 356 | 93.95 336 | 82.72 328 | 74.37 342 | 93.84 337 |
|
FPMVS | | | 77.92 321 | 79.45 319 | 73.34 339 | 76.87 351 | 46.81 358 | 98.24 337 | 99.05 294 | 59.89 348 | 73.55 343 | 98.34 308 | 36.81 354 | 86.55 346 | 80.96 331 | 91.35 270 | 86.65 348 |
|
tmp_tt | | | 75.80 322 | 74.26 323 | 80.43 332 | 52.91 359 | 53.67 357 | 87.42 350 | 97.98 331 | 61.80 346 | 67.04 348 | 100.00 1 | 76.43 336 | 96.40 320 | 96.47 242 | 28.26 354 | 91.23 342 |
|
no-one | | | 74.65 323 | 71.03 324 | 85.51 328 | 80.99 347 | 75.42 338 | 99.70 262 | 97.15 340 | 81.02 336 | 66.48 350 | 80.55 354 | 29.10 357 | 93.65 337 | 73.74 342 | 30.53 353 | 87.47 346 |
|
E-PMN | | | 70.72 324 | 70.06 325 | 72.69 341 | 83.92 344 | 65.48 350 | 99.95 207 | 92.72 352 | 49.88 352 | 72.30 344 | 86.26 348 | 47.17 351 | 77.43 353 | 53.83 353 | 44.49 349 | 75.17 355 |
|
PNet_i23d | | | 69.93 325 | 67.61 327 | 76.86 335 | 75.89 352 | 62.08 354 | 97.85 340 | 88.23 355 | 61.04 347 | 55.65 352 | 84.10 350 | 19.35 359 | 83.21 350 | 66.45 348 | 59.98 345 | 85.29 350 |
|
EMVS | | | 69.88 326 | 69.09 326 | 72.24 342 | 84.70 342 | 65.82 349 | 99.96 201 | 87.08 358 | 49.82 353 | 71.51 345 | 84.74 349 | 49.30 349 | 75.32 354 | 50.97 354 | 43.71 350 | 75.59 354 |
|
MVE | | 68.59 21 | 67.22 327 | 64.68 329 | 74.84 336 | 74.67 354 | 62.32 353 | 95.84 344 | 90.87 354 | 50.98 351 | 58.72 351 | 81.05 352 | 12.20 363 | 78.95 352 | 61.06 351 | 56.75 346 | 83.24 351 |
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014) |
ANet_high | | | 66.05 328 | 63.44 330 | 73.88 338 | 61.14 356 | 63.45 352 | 95.68 346 | 87.18 356 | 79.93 338 | 47.35 353 | 80.68 353 | 22.35 358 | 72.33 357 | 61.24 350 | 35.42 352 | 85.88 349 |
|
PMVS | | 60.66 23 | 65.98 329 | 65.05 328 | 68.75 343 | 55.06 358 | 38.40 359 | 88.19 349 | 96.98 341 | 48.30 354 | 44.82 355 | 88.52 345 | 12.22 362 | 86.49 347 | 67.58 345 | 83.79 322 | 81.35 352 |
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010) |
wuykxyi23d | | | 62.75 330 | 59.23 331 | 73.34 339 | 61.53 355 | 59.39 356 | 93.28 347 | 86.17 359 | 53.70 350 | 46.89 354 | 77.89 355 | 12.35 360 | 79.96 351 | 60.86 352 | 40.35 351 | 80.68 353 |
|
pcd1.5k->3k | | | 40.07 331 | 42.58 332 | 32.57 344 | 97.97 284 | 0.00 361 | 0.00 352 | 99.25 230 | 0.00 356 | 0.00 357 | 0.14 358 | 91.10 243 | 0.00 359 | 0.00 356 | 94.75 238 | 97.70 267 |
|
wuyk23d | | | 28.28 332 | 29.73 334 | 23.92 345 | 75.89 352 | 32.61 360 | 66.50 351 | 12.88 361 | 16.09 355 | 14.59 356 | 16.59 357 | 12.35 360 | 32.36 358 | 39.36 355 | 13.36 356 | 6.79 356 |
|
cdsmvs_eth3d_5k | | | 24.41 333 | 32.55 333 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 99.39 169 | 0.00 356 | 0.00 357 | 100.00 1 | 93.55 202 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
ab-mvs-re | | | 8.33 334 | 11.11 335 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 100.00 1 | 0.00 364 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
pcd_1.5k_mvsjas | | | 8.24 335 | 10.99 336 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 0.14 358 | 98.75 106 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
sosnet-low-res | | | 0.01 336 | 0.02 337 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 0.14 358 | 0.00 364 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
sosnet | | | 0.01 336 | 0.02 337 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 0.14 358 | 0.00 364 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
uncertanet | | | 0.01 336 | 0.02 337 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 0.14 358 | 0.00 364 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
Regformer | | | 0.01 336 | 0.02 337 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 0.14 358 | 0.00 364 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
uanet | | | 0.01 336 | 0.02 337 | 0.00 346 | 0.00 360 | 0.00 361 | 0.00 352 | 0.00 362 | 0.00 356 | 0.00 357 | 0.14 358 | 0.00 364 | 0.00 359 | 0.00 356 | 0.00 357 | 0.00 357 |
|
GSMVS | | | | | | | | | | | | | | | | | 99.91 128 |
|
test_part3 | | | | | | | | 100.00 1 | | 98.23 64 | | 100.00 1 | | 100.00 1 | 100.00 1 | | |
|
test_part2 | | | | | | 100.00 1 | 99.99 1 | | | | 100.00 1 | | | | | | |
|
test_part1 | | | | | | | | | 99.42 121 | | | | 99.53 26 | | | 100.00 1 | 100.00 1 |
|
sam_mvs1 | | | | | | | | | | | | | 99.29 62 | | | | 99.91 128 |
|
sam_mvs | | | | | | | | | | | | | 99.33 51 | | | | |
|
semantic-postprocess | | | | | 97.62 245 | 99.40 189 | 96.83 257 | | 99.14 258 | 94.65 242 | 97.55 264 | 99.72 205 | 89.64 265 | 98.31 284 | 95.62 253 | 92.05 262 | 97.73 254 |
|
ambc | | | | | 88.45 319 | 86.84 341 | 70.76 345 | 97.79 342 | 98.02 330 | | 90.91 313 | 95.14 333 | 38.69 353 | 98.51 274 | 94.97 264 | 84.23 321 | 96.09 322 |
|
MTGPA | | | | | | | | | 99.42 121 | | | | | | | | |
|
test_post1 | | | | | | | | 99.32 297 | | | | 88.24 346 | 99.33 51 | 99.59 176 | 98.31 187 | | |
|
test_post | | | | | | | | | | | | 89.05 344 | 99.49 37 | 99.59 176 | | | |
|
patchmatchnet-post | | | | | | | | | | | | 97.79 311 | 99.41 47 | 99.54 191 | | | |
|
GG-mvs-BLEND | | | | | 99.59 124 | 99.54 163 | 99.49 114 | 99.17 317 | 99.52 76 | | 99.96 88 | 99.68 217 | 100.00 1 | 99.33 213 | 99.71 101 | 99.99 88 | 99.96 107 |
|
MTMP | | | | | | | | | 99.18 249 | | | | | | | | |
|
gm-plane-assit | | | | | | 99.52 171 | 97.26 245 | | | 95.86 212 | | 100.00 1 | | 99.43 205 | 98.76 167 | | |
|
test9_res | | | | | | | | | | | | | | | 100.00 1 | 100.00 1 | 100.00 1 |
|
TEST9 | | | | | | 100.00 1 | 99.95 19 | 100.00 1 | 99.42 121 | 97.65 119 | 100.00 1 | 100.00 1 | 99.53 26 | 99.97 99 | | | |
|
test_8 | | | | | | 100.00 1 | 99.91 39 | 100.00 1 | 99.42 121 | 97.70 109 | 100.00 1 | 100.00 1 | 99.51 31 | 99.98 95 | | | |
|
agg_prior2 | | | | | | | | | | | | | | | 100.00 1 | 100.00 1 | 100.00 1 |
|
agg_prior | | | | | | 100.00 1 | 99.88 59 | | 99.42 121 | | 100.00 1 | | | 99.97 99 | | | |
|
TestCases | | | | | 98.99 168 | 99.93 88 | 97.35 240 | | 99.40 155 | 97.08 159 | 99.09 184 | 99.98 141 | 93.37 203 | 99.95 120 | 96.94 231 | 99.84 111 | 99.68 193 |
|
test_prior4 | | | | | | | 99.93 33 | 100.00 1 | | | | | | | | | |
|
test_prior2 | | | | | | | | 100.00 1 | | 98.82 33 | 100.00 1 | 100.00 1 | 99.47 40 | | 100.00 1 | 100.00 1 | |
|
test_prior | | | | | 99.90 72 | 100.00 1 | 99.75 85 | | 99.73 55 | | | | | 99.97 99 | | | 100.00 1 |
|
旧先验2 | | | | | | | | 100.00 1 | | 98.11 75 | 100.00 1 | | | 100.00 1 | 99.67 107 | | |
|
æ–°å‡ ä½•2 | | | | | | | | 100.00 1 | | | | | | | | | |
|
æ–°å‡ ä½•1 | | | | | 99.99 5 | 100.00 1 | 99.96 10 | | 99.81 42 | 97.89 93 | 100.00 1 | 100.00 1 | 99.20 72 | 100.00 1 | 97.91 207 | 100.00 1 | 100.00 1 |
|
旧先验1 | | | | | | 99.99 45 | 99.88 59 | | 99.82 41 | | | 100.00 1 | 99.27 66 | | | 100.00 1 | 100.00 1 |
|
æ— å…ˆéªŒ | | | | | | | | 100.00 1 | 99.80 43 | 97.98 84 | | | | 100.00 1 | 99.33 140 | | 100.00 1 |
|
原ACMM2 | | | | | | | | 100.00 1 | | | | | | | | | |
|
原ACMM1 | | | | | 99.93 62 | 100.00 1 | 99.80 80 | | 99.66 71 | 98.18 66 | 100.00 1 | 100.00 1 | 99.43 45 | 100.00 1 | 99.50 127 | 100.00 1 | 100.00 1 |
|
test222 | | | | | | 99.99 45 | 99.90 45 | 100.00 1 | 99.69 70 | 97.66 112 | 100.00 1 | 100.00 1 | 99.30 61 | | | 100.00 1 | 100.00 1 |
|
testdata2 | | | | | | | | | | | | | | 100.00 1 | 97.36 224 | | |
|
segment_acmp | | | | | | | | | | | | | 99.55 24 | | | | |
|
testdata | | | | | 99.66 116 | 99.99 45 | 98.97 157 | | 99.73 55 | 97.96 88 | 100.00 1 | 100.00 1 | 99.42 46 | 100.00 1 | 99.28 144 | 100.00 1 | 100.00 1 |
|
testdata1 | | | | | | | | 100.00 1 | | 98.77 37 | | | | | | | |
|
test12 | | | | | 99.95 47 | 99.99 45 | 99.89 49 | | 99.42 121 | | 100.00 1 | | 99.24 68 | 99.97 99 | | 100.00 1 | 100.00 1 |
|
plane_prior7 | | | | | | 99.00 220 | 94.78 286 | | | | | | | | | | |
|
plane_prior6 | | | | | | 99.06 212 | 94.80 282 | | | | | | 88.58 278 | | | | |
|
plane_prior5 | | | | | | | | | 99.40 155 | | | | | 99.55 188 | 99.79 91 | 95.57 217 | 97.76 218 |
|
plane_prior4 | | | | | | | | | | | | 99.97 151 | | | | | |
|
plane_prior3 | | | | | | | 94.79 285 | | | 99.03 16 | 99.08 186 | | | | | | |
|
plane_prior2 | | | | | | | | 100.00 1 | | 99.00 19 | | | | | | | |
|
plane_prior1 | | | | | | 99.02 215 | | | | | | | | | | | |
|
plane_prior | | | | | | | 94.80 282 | 100.00 1 | | 99.03 16 | | | | | | 95.58 213 | |
|
n2 | | | | | | | | | 0.00 362 | | | | | | | | |
|
nn | | | | | | | | | 0.00 362 | | | | | | | | |
|
door-mid | | | | | | | | | 96.32 347 | | | | | | | | |
|
lessismore_v0 | | | | | 96.05 296 | 97.55 299 | 91.80 317 | | 99.22 238 | | 91.87 311 | 99.91 180 | 83.50 312 | 98.68 259 | 92.48 292 | 90.42 281 | 97.68 274 |
|
LGP-MVS_train | | | | | 97.28 259 | 98.85 235 | 94.60 292 | | 99.37 176 | 97.35 140 | 98.85 198 | 99.98 141 | 86.66 292 | 99.56 183 | 99.55 119 | 95.26 224 | 97.70 267 |
|
test11 | | | | | | | | | 99.42 121 | | | | | | | | |
|
door | | | | | | | | | 96.13 348 | | | | | | | | |
|
HQP5-MVS | | | | | | | 94.82 279 | | | | | | | | | | |
|
HQP-NCC | | | | | | 99.07 208 | | 100.00 1 | | 99.04 13 | 99.17 178 | | | | | | |
|
ACMP_Plane | | | | | | 99.07 208 | | 100.00 1 | | 99.04 13 | 99.17 178 | | | | | | |
|
BP-MVS | | | | | | | | | | | | | | | 99.79 91 | | |
|
HQP4-MVS | | | | | | | | | | | 99.17 178 | | | 99.57 179 | | | 97.77 216 |
|
HQP3-MVS | | | | | | | | | 99.40 155 | | | | | | | 95.58 213 | |
|
HQP2-MVS | | | | | | | | | | | | | 88.61 276 | | | | |
|
NP-MVS | | | | | | 99.07 208 | 94.81 281 | | | | | 99.97 151 | | | | | |
|
MDTV_nov1_ep13_2view | | | | | | | 99.24 137 | 99.56 279 | | 96.31 202 | 99.96 88 | | 98.86 100 | | 98.92 158 | | 99.89 141 |
|
MDTV_nov1_ep13 | | | | 98.94 111 | | 99.53 166 | 98.36 181 | 99.39 292 | 99.46 95 | 96.54 189 | 99.99 76 | 99.63 229 | 98.92 96 | 99.86 143 | 98.30 188 | 98.71 133 | |
|
ACMMP++_ref | | | | | | | | | | | | | | | | 94.58 243 | |
|
ACMMP++ | | | | | | | | | | | | | | | | 95.17 230 | |
|
Test By Simon | | | | | | | | | | | | | 99.10 79 | | | | |
|
ITE_SJBPF | | | | | 96.84 281 | 98.96 226 | 93.49 303 | | 98.12 325 | 98.12 74 | 98.35 231 | 99.97 151 | 84.45 304 | 99.56 183 | 95.63 252 | 95.25 226 | 97.49 298 |
|
DeepMVS_CX | | | | | 89.98 318 | 98.90 229 | 71.46 344 | | 99.18 249 | 97.61 123 | 96.92 277 | 99.83 191 | 86.07 296 | 99.83 150 | 96.02 244 | 97.65 201 | 98.65 210 |
|