This table lists the benchmark results for the high-res multi-view scenario. The following metrics are evaluated:

(*) For exact definitions, detailing how potentially incomplete ground truth is taken into account, see our paper.

The datasets are grouped into different categories, and result averages are computed for a category and method if results of the method are available for all datasets within the category. Note that the category "all" includes both the high-res multi-view and the low-res many-view scenarios.

Methods with suffix _ROB may participate in the Robust Vision Challenge.

Click a dataset result cell to show a visualization of the reconstruction. For training datasets, ground truth and accuracy / completeness visualizations are also available. The visualizations may not work with mobile browsers.




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
MSLP-MVS++99.89 199.85 299.99 4100.00 199.96 8100.00 199.95 1599.11 6100.00 1100.00 199.60 11100.00 1100.00 1100.00 1100.00 1
NCCC99.86 299.82 3100.00 1100.00 199.99 1100.00 199.71 5099.07 8100.00 1100.00 199.59 13100.00 1100.00 1100.00 1100.00 1
CHOSEN 280x42099.85 399.87 199.80 8099.99 4399.97 699.97 17699.98 1398.96 21100.00 1100.00 199.96 399.42 185100.00 1100.00 1100.00 1
MCST-MVS99.85 399.80 4100.00 1100.00 199.99 1100.00 199.73 4599.19 5100.00 1100.00 199.31 44100.00 1100.00 1100.00 1100.00 1
CNVR-MVS99.85 399.80 4100.00 1100.00 199.99 1100.00 199.77 3599.07 8100.00 1100.00 199.39 38100.00 1100.00 1100.00 1100.00 1
APDe-MVS99.84 699.78 699.99 4100.00 199.98 4100.00 199.44 8799.06 10100.00 1100.00 199.56 1599.99 69100.00 1100.00 1100.00 1
TSAR-MVS + MP.99.82 799.77 899.99 4100.00 199.96 8100.00 199.43 9699.05 12100.00 1100.00 199.45 3299.99 69100.00 1100.00 1100.00 1
HPM-MVS++99.82 799.76 1099.99 499.99 4399.98 4100.00 199.83 3098.88 2999.96 86100.00 199.21 60100.00 1100.00 1100.00 199.99 85
HSP-MVS99.81 999.77 899.94 50100.00 199.86 57100.00 199.42 10298.87 31100.00 1100.00 199.65 1099.96 101100.00 1100.00 1100.00 1
test_prior399.81 999.78 699.90 60100.00 199.75 69100.00 199.73 4598.82 34100.00 1100.00 199.47 2999.97 86100.00 1100.00 1100.00 1
SD-MVS99.81 999.75 1299.99 499.99 4399.96 8100.00 199.42 10299.01 18100.00 1100.00 199.33 40100.00 1100.00 1100.00 1100.00 1
XVS99.79 1299.73 1499.98 15100.00 199.94 25100.00 199.75 4098.67 41100.00 1100.00 199.16 65100.00 1100.00 1100.00 1100.00 1
SteuartSystems-ACMMP99.78 1399.71 1699.98 1599.76 10499.95 17100.00 199.42 10298.69 39100.00 1100.00 199.52 1899.99 69100.00 1100.00 1100.00 1
Skip Steuart: Steuart Systems R&D Blog.
PAPM99.78 1399.76 1099.85 7099.01 19499.95 17100.00 199.75 4099.37 399.99 74100.00 199.76 699.60 152100.00 1100.00 1100.00 1
DP-MVS Recon99.76 1599.69 1899.98 15100.00 199.95 17100.00 199.52 5797.99 8099.99 74100.00 199.72 7100.00 199.96 62100.00 1100.00 1
PAPR99.76 1599.68 2199.99 4100.00 199.96 8100.00 199.47 6598.16 65100.00 1100.00 199.51 20100.00 1100.00 1100.00 1100.00 1
#test#99.75 1799.68 2199.96 34100.00 199.89 45100.00 199.76 3698.07 75100.00 1100.00 199.31 44100.00 199.99 41100.00 1100.00 1
Regformer-199.75 1799.68 2199.98 15100.00 199.94 25100.00 199.44 8798.43 50100.00 1100.00 199.23 5899.99 6999.99 41100.00 1100.00 1
Regformer-299.75 1799.68 2199.97 22100.00 199.94 25100.00 199.44 8798.42 53100.00 1100.00 199.22 5999.99 6999.99 41100.00 1100.00 1
DeepC-MVS_fast98.92 199.75 1799.67 2699.99 499.99 4399.96 899.73 23499.52 5799.06 10100.00 1100.00 198.80 93100.00 199.95 67100.00 1100.00 1
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
MG-MVS99.75 1799.68 2199.97 22100.00 199.91 3699.98 17099.47 6599.09 7100.00 1100.00 198.59 101100.00 199.95 67100.00 1100.00 1
HFP-MVS99.74 2299.67 2699.96 34100.00 199.89 45100.00 199.76 3697.95 87100.00 1100.00 199.31 44100.00 199.99 41100.00 1100.00 1
ACMMPR99.74 2299.67 2699.96 34100.00 199.89 45100.00 199.76 3697.95 87100.00 1100.00 199.29 51100.00 199.99 41100.00 1100.00 1
PAPM_NR99.74 2299.66 2999.99 4100.00 199.96 8100.00 199.47 6597.87 93100.00 1100.00 199.60 11100.00 1100.00 1100.00 1100.00 1
Regformer-399.73 2599.65 3099.96 34100.00 199.89 45100.00 199.44 8798.40 54100.00 1100.00 199.03 7599.97 8699.99 41100.00 1100.00 1
Regformer-499.73 2599.65 3099.95 43100.00 199.89 45100.00 199.44 8798.40 54100.00 1100.00 199.03 7599.97 8699.99 41100.00 1100.00 1
CDPH-MVS99.73 2599.64 3499.99 4100.00 199.97 6100.00 199.42 10298.02 78100.00 1100.00 199.32 4399.99 69100.00 1100.00 1100.00 1
region2R99.72 2899.64 3499.97 22100.00 199.90 42100.00 199.74 4397.86 94100.00 1100.00 199.19 62100.00 199.99 41100.00 1100.00 1
API-MVS99.72 2899.70 1799.79 8299.97 7499.37 10499.96 17999.94 1898.48 48100.00 1100.00 198.92 85100.00 1100.00 1100.00 1100.00 1
CNLPA99.72 2899.65 3099.91 5799.97 7499.72 73100.00 199.47 6598.43 5099.88 117100.00 199.14 67100.00 199.97 60100.00 1100.00 1
train_agg99.71 3199.63 3899.97 22100.00 199.95 17100.00 199.42 10297.70 105100.00 1100.00 199.51 2099.97 86100.00 1100.00 1100.00 1
agg_prior399.71 3199.63 3899.97 22100.00 199.95 17100.00 199.42 10297.71 104100.00 1100.00 199.51 2099.97 86100.00 1100.00 1100.00 1
agg_prior199.71 3199.63 3899.95 43100.00 199.88 53100.00 199.42 10297.72 102100.00 1100.00 199.51 2099.97 86100.00 1100.00 1100.00 1
MVS_111021_HR99.71 3199.63 3899.93 5299.95 8199.83 62100.00 1100.00 198.89 28100.00 1100.00 197.85 11599.95 106100.00 1100.00 1100.00 1
EI-MVSNet-Vis-set99.70 3599.64 3499.87 67100.00 199.64 8399.98 17099.44 8798.35 5999.99 74100.00 199.04 7299.96 10199.98 55100.00 1100.00 1
MVS_111021_LR99.70 3599.65 3099.88 6699.96 7999.70 78100.00 199.97 1498.96 21100.00 1100.00 197.93 11499.95 10699.99 41100.00 1100.00 1
PLCcopyleft98.56 299.70 3599.74 1399.58 108100.00 198.79 141100.00 199.54 5698.58 4699.96 86100.00 199.59 13100.00 1100.00 1100.00 199.94 97
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
EI-MVSNet-UG-set99.69 3899.63 3899.87 6799.99 4399.64 8399.95 18599.44 8798.35 59100.00 1100.00 198.98 7799.97 8699.98 55100.00 1100.00 1
PGM-MVS99.69 3899.61 4399.95 4399.99 4399.85 59100.00 199.58 5497.69 107100.00 1100.00 199.44 33100.00 199.79 87100.00 1100.00 1
mPP-MVS99.69 3899.60 4499.97 22100.00 199.91 36100.00 199.42 10297.91 89100.00 1100.00 199.04 72100.00 1100.00 1100.00 1100.00 1
MPTG99.68 4199.59 4599.97 2299.99 4399.91 36100.00 199.42 10298.32 6199.94 105100.00 198.65 98100.00 199.96 62100.00 1100.00 1
MTAPA99.68 4199.59 4599.97 2299.99 4399.91 36100.00 199.42 10298.32 6199.94 105100.00 198.65 98100.00 199.96 62100.00 1100.00 1
APD-MVScopyleft99.68 4199.58 4799.97 2299.99 4399.96 8100.00 199.42 10297.53 120100.00 1100.00 199.27 5599.97 86100.00 1100.00 1100.00 1
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
ACMMP_Plus99.67 4499.57 4999.97 2299.98 6999.92 33100.00 199.42 10297.83 95100.00 1100.00 198.89 88100.00 199.98 55100.00 1100.00 1
CP-MVS99.67 4499.58 4799.95 43100.00 199.84 61100.00 199.42 10297.77 99100.00 1100.00 199.07 69100.00 1100.00 1100.00 1100.00 1
APD-MVS_3200maxsize99.65 4699.55 5399.97 2299.99 4399.91 36100.00 199.48 6497.54 119100.00 1100.00 198.97 7899.99 6999.98 55100.00 1100.00 1
ACMMPcopyleft99.65 4699.57 4999.89 6399.99 4399.66 8199.75 22999.73 4598.16 6599.75 130100.00 198.90 87100.00 199.96 6299.88 103100.00 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-MVSNAJ99.64 4899.57 4999.85 7099.78 10099.81 6399.95 18599.42 10298.38 56100.00 1100.00 198.75 95100.00 199.88 7599.99 8599.74 163
F-COLMAP99.64 4899.64 3499.67 9599.99 4399.07 125100.00 199.44 8798.30 6399.90 113100.00 199.18 6399.99 6999.91 71100.00 199.94 97
112199.63 5099.51 5499.99 499.99 4399.96 899.24 28099.74 4397.89 90100.00 1100.00 199.39 38100.00 199.33 125100.00 1100.00 1
EPNet99.62 5199.69 1899.42 11999.99 4398.37 157100.00 199.89 2798.83 32100.00 1100.00 198.97 78100.00 199.90 7299.61 11699.89 117
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
DELS-MVS99.62 5199.56 5299.82 7499.92 8999.45 98100.00 199.78 3498.92 2699.73 131100.00 197.70 118100.00 199.93 69100.00 1100.00 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-pluss99.61 5399.50 5599.97 2299.98 6999.92 33100.00 199.42 10297.53 12099.77 127100.00 198.77 94100.00 199.99 41100.00 199.99 85
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MP-MVScopyleft99.61 5399.49 5799.98 1599.99 4399.94 25100.00 199.42 10297.82 9699.99 74100.00 198.20 108100.00 199.99 41100.00 1100.00 1
TSAR-MVS + GP.99.61 5399.69 1899.35 12599.99 4398.06 188100.00 199.36 16199.83 2100.00 1100.00 198.95 8199.99 69100.00 199.11 121100.00 1
HPM-MVS_fast99.60 5699.49 5799.91 5799.99 4399.78 67100.00 199.42 10297.09 139100.00 1100.00 198.95 8199.96 10199.98 55100.00 1100.00 1
HPM-MVS99.59 5799.50 5599.89 63100.00 199.70 78100.00 199.42 10297.46 122100.00 1100.00 198.60 10099.96 10199.99 41100.00 1100.00 1
WTY-MVS99.54 5899.40 6099.95 4399.81 9599.93 30100.00 1100.00 197.98 8299.84 120100.00 198.94 8399.98 8299.86 7798.21 15799.94 97
abl_699.53 5999.40 6099.92 55100.00 199.76 68100.00 199.42 10297.21 135100.00 1100.00 198.12 110100.00 199.82 86100.00 1100.00 1
xiu_mvs_v2_base99.51 6099.41 5999.82 7499.70 10999.73 7299.92 19399.40 13398.15 67100.00 1100.00 198.50 104100.00 199.85 7999.13 12099.74 163
HY-MVS96.53 999.50 6199.35 6799.96 3499.81 9599.93 3099.64 250100.00 197.97 8499.84 12099.85 16698.94 8399.99 6999.86 7798.23 15699.95 94
PHI-MVS99.50 6199.39 6299.82 74100.00 199.45 98100.00 199.94 1896.38 177100.00 1100.00 198.18 109100.00 1100.00 1100.00 1100.00 1
CPTT-MVS99.49 6399.38 6399.85 70100.00 199.54 87100.00 199.42 10297.58 11799.98 79100.00 197.43 125100.00 199.99 41100.00 1100.00 1
MAR-MVS99.49 6399.36 6599.89 6399.97 7499.66 8199.74 23099.95 1597.89 90100.00 1100.00 196.71 138100.00 1100.00 1100.00 1100.00 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_Blended99.48 6599.36 6599.83 7399.98 6999.60 85100.00 1100.00 197.79 98100.00 1100.00 196.57 14099.99 69100.00 199.88 10399.90 112
sss99.45 6699.34 6999.80 8099.76 10499.50 89100.00 199.91 2697.72 10299.98 7999.94 15498.45 105100.00 199.53 11498.75 12999.89 117
AdaColmapbinary99.44 6799.26 7099.95 43100.00 199.86 5799.70 24099.99 1098.53 4799.90 113100.00 195.34 159100.00 199.92 70100.00 1100.00 1
114514_t99.39 6899.25 7199.81 7799.97 7499.48 96100.00 199.42 10295.53 200100.00 1100.00 198.37 10799.95 10699.97 60100.00 1100.00 1
alignmvs99.38 6999.21 7599.91 5799.73 10799.92 33100.00 199.51 6297.61 113100.00 1100.00 199.06 7099.93 11999.83 8297.12 18499.90 112
131499.38 6999.19 7999.96 3498.88 20999.89 4599.24 28099.93 2198.88 2998.79 181100.00 197.02 128100.00 1100.00 1100.00 1100.00 1
MVS_030599.36 7199.17 8199.93 5299.99 4399.80 65100.00 199.52 5798.43 5099.85 119100.00 194.88 168100.00 1100.00 199.88 103100.00 1
xiu_mvs_v1_base_debu99.35 7299.21 7599.79 8299.67 11499.71 7499.78 22099.36 16198.13 69100.00 1100.00 197.00 130100.00 199.83 8299.07 12299.66 172
xiu_mvs_v1_base99.35 7299.21 7599.79 8299.67 11499.71 7499.78 22099.36 16198.13 69100.00 1100.00 197.00 130100.00 199.83 8299.07 12299.66 172
xiu_mvs_v1_base_debi99.35 7299.21 7599.79 8299.67 11499.71 7499.78 22099.36 16198.13 69100.00 1100.00 197.00 130100.00 199.83 8299.07 12299.66 172
PVSNet_Blended_VisFu99.33 7599.18 8099.78 8699.82 9499.49 92100.00 199.95 1597.36 12899.63 137100.00 196.45 14499.95 10699.79 8799.65 11599.89 117
HyFIR lowres test99.32 7699.24 7399.58 10899.95 8199.26 112100.00 199.99 1096.72 15599.29 15299.91 15899.49 2699.47 18099.74 9598.08 164100.00 1
LS3D99.31 7799.13 8399.87 6799.99 4399.71 7499.55 25799.46 7797.32 13299.82 124100.00 196.85 13599.97 8699.14 134100.00 199.92 104
PVSNet94.91 1899.30 7899.25 7199.44 116100.00 198.32 163100.00 199.86 2998.04 77100.00 1100.00 196.10 148100.00 199.55 11099.73 111100.00 1
lupinMVS99.29 7999.16 8299.69 9499.45 15999.49 92100.00 199.15 23197.45 12399.97 83100.00 196.76 13699.76 14399.67 103100.00 199.81 148
CSCG99.28 8099.35 6799.05 14399.99 4397.15 225100.00 199.47 6597.44 12499.42 145100.00 197.83 116100.00 199.99 41100.00 1100.00 1
OMC-MVS99.27 8199.38 6398.96 15099.95 8197.06 229100.00 199.40 13398.83 3299.88 117100.00 197.01 12999.86 12999.47 11799.84 10799.97 89
EPMVS99.25 8299.13 8399.60 10199.60 12999.20 11999.60 253100.00 196.93 14699.92 11199.36 22599.05 7199.71 14998.77 14998.94 12699.90 112
MVS99.22 8398.96 8999.98 1599.00 19899.95 1799.24 28099.94 1898.14 6898.88 174100.00 195.63 157100.00 199.85 79100.00 1100.00 1
DWT-MVSNet_test99.22 8399.22 7499.22 13699.56 14097.98 19299.89 19999.39 14897.20 13699.96 86100.00 199.52 1899.82 13799.11 13798.34 14999.87 136
MVS_test032699.16 8598.90 9999.92 5599.98 6999.85 59100.00 199.88 2898.92 26100.00 199.99 13093.20 184100.00 198.26 17499.91 10099.91 105
PatchFormer-LS_test99.14 8699.12 8599.19 13799.54 14197.86 20299.66 24899.40 13396.94 14599.96 86100.00 199.29 5199.84 13398.96 14098.29 15299.88 129
PMMVS99.12 8798.97 8899.58 10899.57 13898.98 134100.00 199.30 18697.14 13899.96 86100.00 196.53 14399.82 13799.70 9998.49 13599.94 97
jason99.11 8898.96 8999.59 10499.17 18099.31 107100.00 199.13 24097.38 12799.83 122100.00 195.54 15899.72 14899.57 10999.97 9499.74 163
jason: jason.
EPP-MVSNet99.10 8999.00 8699.40 12099.51 15298.68 14499.92 19399.43 9695.47 20699.65 136100.00 199.51 2099.76 14399.53 11498.00 16699.75 159
TESTMET0.1,199.08 9098.96 8999.44 11699.63 12399.38 102100.00 199.45 7995.53 20099.48 142100.00 199.71 899.02 20196.84 21399.99 8599.91 105
IS-MVSNet99.08 9098.91 9699.59 10499.65 11899.38 10299.78 22099.24 21096.70 15699.51 140100.00 198.44 10699.52 17498.47 16598.39 14499.88 129
UA-Net99.06 9298.83 10299.74 8999.52 14999.40 10199.08 30199.45 7997.64 11199.83 122100.00 195.80 15199.94 11798.35 16999.80 11099.88 129
3Dnovator95.63 1499.06 9298.76 10999.96 3498.86 21299.90 4299.98 17099.93 2198.95 2498.49 204100.00 192.91 188100.00 199.71 97100.00 1100.00 1
VNet99.04 9498.75 11099.90 6099.81 9599.75 6999.50 26299.47 6598.36 58100.00 199.99 13094.66 170100.00 199.90 7297.09 18599.96 90
canonicalmvs99.03 9598.73 11199.94 5099.75 10699.95 17100.00 199.30 18697.64 111100.00 1100.00 195.22 16199.97 8699.76 9396.90 18899.91 105
test-LLR99.03 9598.91 9699.40 12099.40 16799.28 109100.00 199.45 7996.70 15699.42 14599.12 23499.31 4499.01 20296.82 21499.99 8599.91 105
PatchmatchNetpermissive99.03 9598.96 8999.26 13399.49 15798.33 16099.38 27099.45 7996.64 16199.96 8699.58 21199.49 2699.50 17797.63 19199.00 12599.93 102
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
3Dnovator+95.58 1599.03 9598.71 11399.96 3498.99 20199.89 45100.00 199.51 6298.96 2198.32 211100.00 192.78 189100.00 199.87 76100.00 1100.00 1
PatchMatch-RL99.02 9998.78 10799.74 8999.99 4399.29 108100.00 1100.00 198.38 5699.89 11699.81 17593.14 18699.99 6997.85 18699.98 9199.95 94
CHOSEN 1792x268899.00 10098.91 9699.25 13499.90 9297.79 204100.00 199.99 1098.79 3798.28 214100.00 193.63 17899.95 10699.66 10599.95 97100.00 1
DeepC-MVS97.84 599.00 10098.80 10699.60 10199.93 8699.03 128100.00 199.40 13398.61 4599.33 150100.00 192.23 19499.95 10699.74 9599.96 9699.83 142
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
QAPM98.99 10298.66 11699.96 3499.01 19499.87 5699.88 20299.93 2197.99 8098.68 188100.00 193.17 185100.00 199.32 127100.00 1100.00 1
Vis-MVSNet (Re-imp)98.99 10298.89 10099.29 13099.64 12298.89 13899.98 17099.31 18496.74 15299.48 142100.00 198.11 11199.10 19798.39 16798.34 14999.89 117
tpmrst98.98 10498.93 9599.14 14099.61 12797.74 20599.52 26099.36 16196.05 18599.98 7999.64 20299.04 7299.86 12998.94 14198.19 15999.82 146
test-mter98.96 10598.82 10399.40 12099.40 16799.28 109100.00 199.45 7995.44 20999.42 14599.12 23499.70 999.01 20296.82 21499.99 8599.91 105
CDS-MVSNet98.96 10598.95 9399.01 14699.48 15898.36 15899.93 19199.37 15596.79 15099.31 15199.83 16999.77 598.91 20898.07 17997.98 16799.77 156
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
MVS_dtu98.94 10798.69 11599.70 9299.96 7999.27 111100.00 199.40 13398.93 25100.00 1100.00 191.74 201100.00 198.50 16399.67 11399.83 142
MVSFormer98.94 10798.82 10399.28 13199.45 15999.49 92100.00 199.13 24095.46 20799.97 83100.00 196.76 13698.59 24598.63 157100.00 199.74 163
MVS_Test98.93 10998.65 11899.77 8899.62 12599.50 8999.99 15499.19 22295.52 20299.96 8699.86 16496.54 14299.98 8298.65 15598.48 13699.82 146
1112_ss98.91 11098.71 11399.51 11299.69 11098.75 14299.99 15499.15 23196.82 14898.84 178100.00 197.45 12399.89 12598.66 15397.75 17699.89 117
MSDG98.90 11198.63 12099.70 9299.92 8999.25 114100.00 199.37 15595.71 19499.40 149100.00 196.58 13999.95 10696.80 21699.94 9899.91 105
mvs-test198.89 11298.99 8798.60 16799.77 10295.96 242100.00 198.94 27897.61 11399.93 11099.92 15795.89 14999.93 11999.36 12299.50 11799.90 112
DP-MVS98.86 11398.54 12799.81 7799.97 7499.45 9899.52 26099.40 13394.35 22898.36 208100.00 196.13 14799.97 8699.12 136100.00 1100.00 1
CostFormer98.84 11498.77 10899.04 14499.41 16397.58 21099.67 24699.35 16994.66 21999.96 8699.36 22599.28 5499.74 14599.41 12097.81 17399.81 148
Test_1112_low_res98.83 11598.60 12399.51 11299.69 11098.75 14299.99 15499.14 23596.81 14998.84 17899.06 23897.45 12399.89 12598.66 15397.75 17699.89 117
BH-w/o98.82 11698.81 10598.88 15599.62 12596.71 236100.00 199.28 19697.09 13998.81 180100.00 194.91 16799.96 10199.54 113100.00 199.96 90
mvs_anonymous98.80 11798.60 12399.38 12399.57 13899.24 116100.00 199.21 21995.87 18898.92 17199.82 17296.39 14599.03 20099.13 13598.50 13499.88 129
TAMVS98.76 11898.73 11198.86 15699.44 16197.69 20699.57 25599.34 17496.57 16599.12 16199.81 17598.83 9099.16 19597.97 18497.91 17099.73 167
OpenMVScopyleft95.20 1798.76 11898.41 13299.78 8698.89 20899.81 6399.99 15499.76 3698.02 7898.02 225100.00 191.44 213100.00 199.63 10799.97 9499.55 176
dp98.72 12098.61 12299.03 14599.53 14497.39 21499.45 26499.39 14895.62 19799.94 10599.52 21798.83 9099.82 13796.77 21898.42 14199.89 117
tpmp4_e2398.71 12198.66 11698.84 15799.60 12996.98 23199.83 20899.35 16994.29 22999.90 11399.50 21999.17 6499.73 14698.22 17598.13 16199.81 148
PVSNet_BlendedMVS98.71 12198.62 12198.98 14999.98 6999.60 85100.00 1100.00 197.23 134100.00 199.03 24896.57 14099.99 69100.00 194.75 21697.35 280
ADS-MVSNet98.70 12398.51 12999.28 13199.51 15298.39 15499.24 28099.44 8795.52 20299.96 8699.70 18797.57 12199.58 15697.11 20698.54 13299.88 129
PCF-MVS98.23 398.69 12498.37 13599.62 9799.78 10099.02 12999.23 28699.06 26996.43 17298.08 220100.00 194.72 16999.95 10698.16 17799.91 10099.90 112
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
tpm298.64 12598.58 12598.81 16099.42 16297.12 22699.69 24499.37 15593.63 25099.94 10599.67 19598.96 8099.47 18098.62 15997.95 16899.83 142
BH-untuned98.64 12598.65 11898.60 16799.59 13296.17 241100.00 199.28 19696.67 16098.41 207100.00 194.52 17199.83 13599.41 120100.00 199.81 148
tpmvs98.59 12798.38 13499.23 13599.69 11097.90 19799.31 27599.47 6594.52 22399.68 13599.28 23097.64 11999.89 12597.71 18998.17 16099.89 117
Effi-MVS+98.58 12898.24 13999.61 9899.60 12999.26 11297.85 31799.10 24896.22 18299.97 8399.89 16093.75 17699.77 14299.43 11898.34 14999.81 148
MVSTER98.58 12898.52 12898.77 16199.65 11899.68 80100.00 199.29 19095.63 19698.65 19099.80 17899.78 498.88 21498.59 16095.31 20097.73 230
CVMVSNet98.56 13098.47 13198.82 15899.11 18297.67 20799.74 23099.47 6597.57 11899.06 166100.00 195.72 15598.97 20598.21 17697.33 18399.83 142
AllTest98.55 13198.40 13398.99 14799.93 8697.35 217100.00 199.40 13397.08 14199.09 16299.98 13293.37 18099.95 10696.94 20999.84 10799.68 170
DeepPCF-MVS98.03 498.54 13299.72 1594.98 28199.99 4384.94 306100.00 199.42 10299.98 1100.00 1100.00 198.11 111100.00 1100.00 1100.00 1100.00 1
EPNet_dtu98.53 13398.23 14199.43 11899.92 8999.01 13299.96 17999.47 6598.80 3699.96 8699.96 14998.56 10299.30 19287.78 29799.68 112100.00 1
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
diffmvs98.52 13498.11 14499.73 9199.59 13299.47 97100.00 199.19 22293.68 24799.70 13499.75 18195.07 16399.84 13397.57 19398.48 13699.89 117
Vis-MVSNetpermissive98.52 13498.25 13899.34 12699.68 11398.55 14999.68 24599.41 13197.34 13199.94 105100.00 190.38 23299.70 15099.03 13998.84 12799.76 158
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
Effi-MVS+-dtu98.51 13698.86 10197.47 23099.77 10294.21 275100.00 198.94 27897.61 11399.91 11298.75 26895.89 14999.51 17699.36 12299.48 11898.68 184
BH-RMVSNet98.46 13798.08 14699.59 10499.61 12799.19 120100.00 199.28 19697.06 14398.95 170100.00 188.99 25099.82 13798.83 147100.00 199.77 156
cascas98.43 13898.07 14799.50 11499.65 11899.02 129100.00 199.22 21594.21 23299.72 13299.98 13292.03 19799.93 11999.68 10198.12 16299.54 177
ab-mvs98.42 13998.02 15099.61 9899.71 10899.00 13399.10 29999.64 5396.70 15699.04 16799.81 17590.64 22799.98 8299.64 10697.93 16999.84 139
UGNet98.41 14098.11 14499.31 12999.54 14198.55 14999.18 289100.00 198.64 4499.79 12699.04 24387.61 261100.00 199.30 12899.89 10299.40 180
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
Fast-Effi-MVS+98.40 14198.02 15099.55 11199.63 12399.06 126100.00 199.15 23195.07 21199.42 14599.95 15093.26 18399.73 14697.44 19898.24 15599.87 136
Fast-Effi-MVS+-dtu98.38 14298.56 12697.82 21999.58 13694.44 272100.00 199.16 23096.75 15199.51 14099.63 20695.03 16599.60 15297.71 18999.67 11399.42 179
XVG-OURS98.30 14398.36 13698.13 20099.58 13695.91 245100.00 199.36 16198.69 3999.23 154100.00 191.20 21799.92 12299.34 12497.82 17298.56 188
COLMAP_ROBcopyleft97.10 798.29 14498.17 14398.65 16599.94 8497.39 21499.30 27699.40 13395.64 19597.75 236100.00 192.69 19199.95 10698.89 14399.92 9998.62 187
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ADS-MVSNet298.28 14598.51 12997.62 22399.51 15295.03 25299.24 28099.41 13195.52 20299.96 8699.70 18797.57 12197.94 28097.11 20698.54 13299.88 129
XVG-OURS-SEG-HR98.27 14698.31 13798.14 19799.59 13295.92 244100.00 199.36 16198.48 4899.21 155100.00 189.27 24799.94 11799.76 9399.17 11998.56 188
tpm98.24 14798.22 14298.32 18099.13 18195.79 24699.53 25999.12 24695.20 21099.96 8699.36 22597.58 12099.28 19397.41 20096.67 18999.88 129
Patchmatch-test198.23 14897.91 15399.17 13899.41 16398.25 17199.99 15499.45 7996.91 14799.76 12999.69 18989.65 24299.37 18897.55 19498.79 12899.89 117
TR-MVS98.14 14997.74 15799.33 12799.59 13298.28 16599.27 27799.21 21996.42 17499.15 16099.94 15488.87 25299.79 14198.88 14498.29 15299.93 102
test0.0.03 198.12 15098.03 14998.39 17499.11 18298.07 187100.00 199.93 2196.70 15696.91 25799.95 15099.31 4498.19 26391.93 27298.44 13998.91 182
tpm cat198.05 15197.76 15698.92 15399.50 15597.10 22899.77 22499.30 18690.20 28399.72 13298.71 27097.71 11799.86 12996.75 21998.20 15899.81 148
PS-MVSNAJss98.03 15298.06 14897.94 21497.63 27297.33 22099.89 19999.23 21396.27 18198.03 22399.59 21098.75 9598.78 22398.52 16294.61 22097.70 243
CR-MVSNet98.02 15397.71 16098.93 15199.31 17498.86 13999.13 29799.00 27696.53 16899.96 8698.98 25496.94 13398.10 27291.18 27598.40 14299.84 139
EI-MVSNet97.98 15497.93 15298.16 19699.11 18297.84 20399.74 23099.29 19094.39 22798.65 190100.00 197.21 12698.88 21497.62 19295.31 20097.75 198
FIs97.95 15597.73 15998.62 16698.53 22199.24 116100.00 199.43 9696.74 15297.87 23199.82 17295.27 16098.89 21198.78 14893.07 23197.74 220
FC-MVSNet-test97.84 15697.63 16198.45 17198.30 23099.05 127100.00 199.43 9696.63 16397.61 24099.82 17295.19 16298.57 24898.64 15693.05 23297.73 230
Patchmatch-test97.83 15797.42 16399.06 14199.08 18597.66 20898.66 31099.21 21993.65 24998.25 21799.58 21199.47 2999.57 15790.25 28698.59 13199.95 94
HQP-MVS97.73 15897.85 15497.39 23299.07 18694.82 256100.00 199.40 13399.04 1399.17 15699.97 14088.61 25499.57 15799.79 8795.58 19197.77 192
GA-MVS97.72 15997.27 16899.06 14199.24 17997.93 196100.00 199.24 21095.80 19398.99 16999.64 20289.77 24099.36 18995.12 23997.62 18099.89 117
HQP_MVS97.71 16097.82 15597.37 23399.00 19894.80 259100.00 199.40 13399.00 1999.08 16499.97 14088.58 25699.55 16699.79 8795.57 19597.76 194
nrg03097.64 16197.27 16898.75 16298.34 22699.53 88100.00 199.22 21596.21 18398.27 21599.95 15094.40 17298.98 20499.23 13189.78 26897.75 198
TAPA-MVS96.40 1097.64 16197.37 16698.45 17199.94 8495.70 247100.00 199.40 13397.65 10999.53 139100.00 199.31 4499.66 15180.48 309100.00 1100.00 1
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
CLD-MVS97.64 16197.74 15797.36 23499.01 19494.76 264100.00 199.34 17499.30 499.00 16899.97 14087.49 26299.57 15799.96 6295.58 19197.75 198
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
IterMVS-LS97.56 16497.44 16297.92 21799.38 17197.90 19799.89 19999.10 24894.41 22698.32 21199.54 21697.21 12698.11 26997.50 19791.62 24497.75 198
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
test_djsdf97.55 16597.38 16598.07 20497.50 27897.99 191100.00 199.13 24095.46 20798.47 20599.85 16692.01 19998.59 24598.63 15795.36 19897.62 266
IB-MVS96.24 1297.54 16696.95 17399.33 12799.67 11498.10 185100.00 199.47 6597.42 12699.26 15399.69 18998.83 9099.89 12599.43 11878.77 308100.00 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
LFMVS97.42 16796.62 18599.81 7799.80 9899.50 8999.16 29599.56 5594.48 225100.00 1100.00 179.35 306100.00 199.89 7497.37 18299.94 97
RPSCF97.37 16898.24 13994.76 28399.80 9884.57 30799.99 15499.05 27194.95 21499.82 124100.00 194.03 174100.00 198.15 17898.38 14799.70 168
ACMM97.17 697.37 16897.40 16497.29 23699.01 19494.64 268100.00 199.25 20798.07 7598.44 20699.98 13287.38 26399.55 16699.25 13095.19 20797.69 248
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
LPG-MVS_test97.31 17097.32 16797.28 23798.85 21394.60 269100.00 199.37 15597.35 12998.85 17699.98 13286.66 26999.56 16199.55 11095.26 20297.70 243
FMVSNet397.30 17196.95 17398.37 17699.65 11899.25 11499.71 23899.28 19694.23 23098.53 20098.91 26193.30 18298.11 26995.31 23593.60 22597.73 230
UniMVSNet (Re)97.29 17296.85 17798.59 16998.49 22299.13 123100.00 199.42 10296.52 16998.24 21898.90 26294.93 16698.89 21197.54 19687.61 28697.75 198
OPM-MVS97.21 17397.18 17197.32 23598.08 25094.66 266100.00 199.28 19698.65 4398.92 17199.98 13286.03 27599.56 16198.28 17395.41 19797.72 235
ACMP97.00 897.19 17497.16 17297.27 23998.97 20394.58 271100.00 199.32 17997.97 8497.45 24499.98 13285.79 27799.56 16199.70 9995.24 20597.67 254
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
pmmvs497.17 17596.80 17898.27 18497.68 26998.64 146100.00 199.18 22694.22 23198.55 19899.71 18593.67 17798.47 25595.66 22992.57 23697.71 242
anonymousdsp97.16 17696.88 17598.00 21097.08 28998.06 18899.81 21599.15 23194.58 22197.84 23299.62 20890.49 22998.60 24397.98 18195.32 19997.33 282
UniMVSNet_NR-MVSNet97.16 17696.80 17898.22 19198.38 22598.41 152100.00 199.45 7996.14 18497.76 23399.64 20295.05 16498.50 25297.98 18186.84 28997.75 198
XXY-MVS97.14 17896.63 18498.67 16498.65 21698.92 13799.54 25899.29 19095.57 19997.63 23899.83 16987.79 26099.35 19098.39 16792.95 23397.75 198
WR-MVS97.09 17996.64 18398.46 17098.43 22399.09 12499.97 17699.33 17695.62 19797.76 23399.67 19591.17 21898.56 24998.49 16489.28 27297.74 220
JIA-IIPM97.09 17996.34 19499.36 12498.88 20998.59 14799.81 21599.43 9684.81 30899.96 8690.34 32098.55 10399.52 17497.00 20898.28 15499.98 87
jajsoiax97.07 18196.79 18097.89 21897.28 28797.12 22699.95 18599.19 22296.55 16697.31 24799.69 18987.35 26598.91 20898.70 15295.12 21197.66 256
MIMVSNet97.06 18296.73 18198.05 20899.38 17196.64 23898.47 31399.35 16993.41 25599.48 14298.53 27789.66 24197.70 28494.16 25398.11 16399.80 155
X-MVStestdata97.04 18396.06 21099.98 15100.00 199.94 25100.00 199.75 4098.67 41100.00 166.97 33399.16 65100.00 1100.00 1100.00 1100.00 1
VPA-MVSNet97.03 18496.43 19298.82 15898.64 21799.32 10699.38 27099.47 6596.73 15498.91 17398.94 25987.00 26799.40 18699.23 13189.59 26997.76 194
testpf97.02 18596.87 17697.44 23199.50 15595.18 25095.70 32299.33 17691.35 27598.00 22799.22 23296.29 14698.49 25494.42 24898.07 16598.67 185
mvs_tets97.00 18696.69 18297.94 21497.41 28697.27 22199.60 25399.18 22696.51 17097.35 24699.69 18986.53 27198.91 20898.84 14595.09 21297.65 260
gg-mvs-nofinetune96.95 18796.10 20899.50 11499.41 16399.36 10599.07 30399.52 5783.69 31199.96 8683.60 328100.00 199.20 19499.68 10199.99 8599.96 90
DU-MVS96.93 18896.49 18998.22 19198.31 22898.41 152100.00 199.37 15596.41 17597.76 23399.65 19892.14 19598.50 25297.98 18186.84 28997.75 198
Patchmtry96.81 18996.37 19398.14 19799.31 17498.55 14998.91 30699.00 27690.45 28097.92 22998.98 25496.94 13398.12 26794.27 25191.53 24597.75 198
v1neww96.77 19096.27 19798.26 18698.16 24098.23 172100.00 199.09 25193.94 23798.73 18599.05 24091.65 20398.82 21995.75 22590.04 25997.74 220
v7new96.77 19096.27 19798.26 18698.16 24098.23 172100.00 199.09 25193.94 23798.73 18599.05 24091.65 20398.82 21995.75 22590.04 25997.74 220
v696.77 19096.26 19998.29 18298.10 24698.27 167100.00 199.09 25193.95 23698.73 18599.06 23891.51 21098.86 21695.83 22390.04 25997.74 220
ACMH96.25 1196.77 19096.62 18597.21 24098.96 20494.43 27399.64 25099.33 17697.43 12596.55 26299.97 14083.52 28899.54 16999.07 13895.13 21097.66 256
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
IterMVS96.76 19496.46 19197.63 22199.41 16396.89 23299.99 15499.13 24094.74 21897.59 24199.66 19789.63 24498.28 26295.71 22792.31 23897.72 235
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CP-MVSNet96.73 19596.25 20098.18 19498.21 23598.67 14599.77 22499.32 17995.06 21297.20 25199.65 19890.10 23498.19 26398.06 18088.90 27697.66 256
WR-MVS_H96.73 19596.32 19697.95 21398.26 23297.88 19999.72 23699.43 9695.06 21296.99 25498.68 27193.02 18798.53 25097.43 19988.33 28297.43 277
v2v48296.70 19796.18 20198.27 18498.04 25598.39 154100.00 199.13 24094.19 23398.58 19799.08 23790.48 23098.67 23895.69 22890.44 25797.75 198
divwei89l23v2f11296.68 19896.15 20498.25 19098.03 25698.27 167100.00 199.09 25193.79 24098.59 19599.04 24391.54 20998.73 23095.29 23889.99 26397.75 198
v114196.66 19996.12 20698.26 18698.05 25398.28 165100.00 199.09 25193.71 24198.59 19599.04 24391.57 20798.73 23095.05 24090.00 26297.75 198
v196.66 19996.12 20698.30 18198.09 24798.33 160100.00 199.09 25193.69 24698.68 18899.04 24391.42 21498.83 21895.05 24089.99 26397.75 198
V4296.65 20196.16 20398.11 20398.17 23998.23 17299.99 15499.09 25193.97 23498.74 18499.05 24091.09 22398.82 21995.46 23389.90 26697.27 283
v796.64 20296.14 20598.13 20098.18 23797.97 19399.99 15499.09 25193.62 25198.76 18299.30 22891.13 22098.70 23594.37 24990.80 25297.74 220
EU-MVSNet96.63 20396.53 18796.94 24897.59 27496.87 23399.76 22799.47 6596.35 17896.85 25999.78 17992.57 19296.27 30295.33 23491.08 24997.68 250
NR-MVSNet96.63 20396.04 21198.38 17598.31 22898.98 13499.22 28899.35 16995.87 18894.43 27899.65 19892.73 19098.40 25896.78 21788.05 28397.75 198
XVG-ACMP-BASELINE96.60 20596.52 18896.84 25998.41 22493.29 28399.99 15499.32 17997.76 10198.51 20399.29 22981.95 29499.54 16998.40 16695.03 21397.68 250
VDD-MVS96.58 20695.99 21398.34 17899.52 14995.33 24899.18 28999.38 15296.64 16199.77 127100.00 172.51 317100.00 1100.00 196.94 18799.70 168
LCM-MVSNet-Re96.52 20797.21 17094.44 28499.27 17785.80 30599.85 20696.61 32395.98 18692.75 28698.48 27893.97 17597.55 28599.58 10898.43 14099.98 87
MVP-Stereo96.51 20896.48 19096.60 26795.65 29994.25 27498.84 30898.16 30095.85 19295.23 27299.04 24392.54 19399.13 19692.98 26599.98 9196.43 292
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
v114496.51 20895.97 21598.13 20097.98 26098.04 19099.99 15499.08 25993.51 25498.62 19398.98 25490.98 22698.62 24093.79 25890.79 25397.74 220
ACMH+96.20 1396.49 21096.33 19597.00 24599.06 19093.80 27899.81 21599.31 18497.32 13295.89 26999.97 14082.62 29299.54 16998.34 17094.63 21997.65 260
TranMVSNet+NR-MVSNet96.45 21196.01 21297.79 22098.00 25997.62 209100.00 199.35 16995.98 18697.31 24799.64 20290.09 23598.00 27996.89 21286.80 29297.75 198
VPNet96.41 21295.76 22398.33 17998.61 21898.30 16499.48 26399.45 7996.98 14498.87 17599.88 16181.57 29698.93 20699.22 13387.82 28597.76 194
PVSNet_093.57 1996.41 21295.74 22498.41 17399.84 9395.22 249100.00 1100.00 198.08 7497.55 24299.78 17984.40 282100.00 1100.00 181.99 300100.00 1
v14419296.40 21495.81 21998.17 19597.89 26498.11 18499.99 15499.06 26993.39 25698.75 18399.09 23690.43 23198.66 23993.10 26490.55 25697.75 198
VDDNet96.39 21595.55 23098.90 15499.27 17797.45 21199.15 29699.92 2591.28 27699.98 79100.00 173.55 315100.00 199.85 7996.98 18699.24 181
v896.35 21695.73 22598.21 19398.11 24598.23 17299.94 18999.07 26192.66 26598.29 21399.00 25391.46 21298.77 22694.17 25288.83 27897.62 266
PS-CasMVS96.34 21795.78 22298.03 20998.18 23798.27 16799.71 23899.32 17994.75 21696.82 26099.65 19886.98 26898.15 26597.74 18888.85 27797.66 256
LTVRE_ROB95.29 1696.32 21896.10 20896.99 24698.55 22093.88 27799.45 26499.28 19694.50 22496.46 26399.52 21784.86 28099.48 17997.26 20395.03 21397.59 270
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
v14896.29 21995.84 21897.63 22197.74 26796.53 239100.00 199.07 26193.52 25398.01 22699.42 22491.22 21698.60 24396.37 22187.22 28897.75 198
DI_MVS_plusplus_test96.28 22095.16 24399.61 9896.01 29699.18 121100.00 199.29 19096.49 17189.08 29398.42 28280.06 30199.90 12398.74 15198.39 14499.75 159
test_normal96.24 22195.12 24599.60 10196.00 29799.16 122100.00 199.29 19096.43 17288.96 29698.40 28380.06 30199.90 12398.53 16198.39 14499.75 159
FMVSNet296.22 22295.60 22998.06 20799.53 14498.33 16099.45 26499.27 20393.71 24198.03 22398.84 26484.23 28498.10 27293.97 25693.40 22897.73 230
LF4IMVS96.19 22396.18 20196.23 27398.26 23292.09 292100.00 197.89 31097.82 9697.94 22899.87 16282.71 29199.38 18797.41 20093.71 22497.20 284
v119296.18 22495.49 23398.26 18698.01 25798.15 18299.99 15499.08 25993.36 25798.54 19998.97 25789.47 24598.89 21191.15 27690.82 25197.75 198
testgi96.18 22495.93 21696.93 24998.98 20294.20 276100.00 199.07 26197.16 13796.06 26699.86 16484.08 28797.79 28290.38 28397.80 17498.81 183
v192192096.16 22695.50 23198.14 19797.88 26597.96 19499.99 15499.07 26193.33 25898.60 19499.24 23189.37 24698.71 23491.28 27490.74 25497.75 198
Baseline_NR-MVSNet96.16 22695.70 22697.56 22698.28 23196.79 235100.00 197.86 31191.93 27197.63 23899.47 22292.14 19598.35 26097.13 20586.83 29197.54 273
v1096.14 22895.50 23198.07 20498.19 23697.96 19499.83 20899.07 26192.10 26998.07 22298.94 25991.07 22498.61 24192.41 27189.82 26797.63 264
OurMVSNet-221017-096.14 22895.98 21496.62 26697.49 28093.44 28199.92 19398.16 30095.86 19097.65 23799.95 15085.71 27898.78 22394.93 24394.18 22397.64 263
GBi-Net96.07 23095.80 22096.89 25199.53 14494.87 25399.18 28999.27 20393.71 24198.53 20098.81 26584.23 28498.07 27595.31 23593.60 22597.72 235
test196.07 23095.80 22096.89 25199.53 14494.87 25399.18 28999.27 20393.71 24198.53 20098.81 26584.23 28498.07 27595.31 23593.60 22597.72 235
v7n96.06 23295.42 23797.99 21297.58 27597.35 21799.86 20599.11 24792.81 26497.91 23099.49 22090.99 22598.92 20792.51 26888.49 28197.70 243
PEN-MVS96.01 23395.48 23597.58 22597.74 26797.26 22299.90 19699.29 19094.55 22296.79 26199.55 21487.38 26397.84 28196.92 21187.24 28797.65 260
v124095.96 23495.25 24198.07 20497.91 26397.87 20199.96 17999.07 26193.24 26098.64 19298.96 25888.98 25198.61 24189.58 28990.92 25097.75 198
pmmvs595.94 23595.61 22896.95 24797.42 28494.66 266100.00 198.08 30493.60 25297.05 25399.43 22387.02 26698.46 25695.76 22492.12 23997.72 235
PatchT95.90 23694.95 24998.75 16299.03 19298.39 15499.08 30199.32 17985.52 30499.96 8694.99 31397.94 11398.05 27880.20 31098.47 13899.81 148
USDC95.90 23695.70 22696.50 26898.60 21992.56 290100.00 198.30 29697.77 9996.92 25599.94 15481.25 30099.45 18293.54 26294.96 21597.49 274
V495.89 23895.36 23897.49 22897.65 27197.40 21399.88 20299.07 26192.19 26798.08 22099.01 25190.20 23398.72 23293.57 26188.63 27996.34 293
LP95.89 23895.35 23997.51 22798.92 20695.15 25198.66 31099.39 14889.43 29497.22 25099.03 24894.37 17397.74 28383.71 30497.44 18199.63 175
v5295.88 24095.35 23997.48 22997.66 27097.38 21699.88 20299.07 26192.19 26798.09 21999.02 25090.06 23698.72 23293.58 26088.61 28096.34 293
pm-mvs195.76 24195.01 24798.00 21098.23 23497.45 21199.24 28099.04 27493.13 26295.93 26899.72 18386.28 27298.84 21795.62 23187.92 28497.72 235
SixPastTwentyTwo95.71 24295.49 23396.38 27097.42 28493.01 28499.84 20798.23 29794.75 21695.98 26799.97 14085.35 27998.43 25794.71 24493.17 23097.69 248
MS-PatchMatch95.66 24395.87 21795.05 27997.80 26689.25 30098.88 30799.30 18696.35 17896.86 25899.01 25181.35 29999.43 18393.30 26399.98 9196.46 291
DTE-MVSNet95.52 24494.99 24897.08 24297.49 28096.45 240100.00 199.25 20793.82 23996.17 26499.57 21387.81 25997.18 28694.57 24586.26 29497.62 266
TinyColmap95.50 24595.12 24596.64 26598.69 21593.00 28599.40 26897.75 31296.40 17696.14 26599.87 16279.47 30599.50 17793.62 25994.72 21897.40 278
v74895.47 24694.95 24997.04 24397.46 28394.76 26499.93 19199.10 24891.95 27097.11 25299.18 23389.94 23998.68 23694.01 25585.88 29597.67 254
K. test v395.46 24795.14 24496.40 26997.53 27793.40 28299.99 15499.23 21395.49 20592.70 28799.73 18284.26 28398.12 26793.94 25793.38 22997.68 250
FMVSNet595.32 24895.43 23694.99 28099.39 17092.99 28699.25 27999.24 21090.45 28097.44 24598.45 27995.78 15294.39 31187.02 29891.88 24297.59 270
DSMNet-mixed95.18 24995.21 24295.08 27896.03 29590.21 29899.65 24993.64 32892.91 26398.34 21097.40 29090.05 23795.51 30991.02 27797.86 17199.51 178
RPMNet95.10 25093.82 25398.93 15199.31 17498.86 13999.13 29799.38 15279.82 31699.96 8695.13 31195.69 15698.10 27277.54 31698.40 14299.84 139
TransMVSNet (Re)94.78 25193.72 25497.93 21698.34 22697.88 19999.23 28697.98 30891.60 27394.55 27699.71 18587.89 25898.36 25989.30 29484.92 29697.56 272
FMVSNet194.45 25293.63 25696.89 25198.87 21194.87 25399.18 28999.27 20390.95 27997.31 24798.81 26572.89 31698.07 27592.61 26692.81 23497.72 235
test_040294.35 25393.70 25596.32 27197.92 26293.60 27999.61 25298.85 28388.19 30094.68 27599.48 22180.01 30498.58 24789.39 29295.15 20996.77 288
UnsupCasMVSNet_eth94.25 25493.89 25295.34 27797.63 27292.13 29199.73 23499.36 16194.88 21592.78 28498.63 27482.72 29096.53 29294.57 24584.73 29797.36 279
MVS-HIRNet94.12 25592.73 26498.29 18299.33 17395.95 24399.38 27099.19 22274.54 31898.26 21686.34 32486.07 27399.06 19991.60 27399.87 10699.85 138
new_pmnet94.11 25693.47 25896.04 27596.60 29292.82 28799.97 17698.91 28190.21 28295.26 27198.05 28785.89 27698.14 26684.28 30392.01 24197.16 285
pmmvs693.64 25792.87 26295.94 27697.47 28291.41 29798.92 30599.02 27587.84 30195.01 27399.61 20977.24 31198.77 22694.33 25086.41 29397.63 264
v1893.55 25892.42 26696.91 25098.12 24398.26 17099.83 20898.74 28589.99 28588.94 29795.64 30092.02 19896.54 28990.27 28578.26 30995.94 301
v1793.53 25992.42 26696.88 25598.09 24798.16 18099.83 20898.74 28589.95 28689.05 29495.65 29991.99 20096.54 28990.31 28478.15 31195.95 299
Patchmatch-RL test93.49 26093.63 25693.05 29291.78 30883.41 30898.21 31596.95 31991.58 27491.05 28997.64 28999.40 3795.83 30694.11 25481.95 30199.91 105
v1693.48 26192.34 26896.89 25198.13 24298.19 17899.82 21398.74 28589.94 28788.90 29895.62 30191.65 20396.54 28990.03 28778.22 31095.95 299
Anonymous2023120693.45 26293.17 26094.30 28695.00 30389.69 29999.98 17098.43 29593.30 25994.50 27798.59 27590.52 22895.73 30777.46 31790.73 25597.48 276
v1593.28 26392.08 26996.87 25698.07 25198.22 17699.82 21398.74 28589.83 28888.74 30095.44 30591.55 20896.47 29389.70 28876.87 31395.93 302
V1493.24 26492.04 27096.87 25698.07 25198.20 17799.80 21898.74 28589.76 29088.64 30195.53 30291.47 21196.47 29389.49 29076.84 31495.92 303
V993.20 26591.99 27296.85 25898.05 25398.16 18099.77 22498.73 29189.67 29188.64 30195.44 30591.34 21596.47 29389.46 29176.79 31595.92 303
v1393.18 26691.97 27396.81 26198.12 24398.12 18399.74 23098.73 29189.47 29388.52 30395.40 30991.72 20296.41 29689.23 29676.77 31695.92 303
v1293.18 26691.97 27396.80 26298.09 24798.10 18599.76 22798.73 29189.61 29288.45 30495.41 30891.63 20696.39 29889.32 29376.76 31795.91 306
v1193.14 26891.93 27596.77 26498.01 25798.17 17999.72 23698.74 28589.39 29588.81 29995.49 30491.15 21996.29 30086.78 29979.25 30695.86 308
test20.0393.11 26992.85 26393.88 29195.19 30291.83 293100.00 198.87 28293.68 24792.76 28598.88 26389.20 24892.71 31677.88 31589.19 27397.09 286
EG-PatchMatch MVS92.94 27092.49 26594.29 28795.87 29887.07 30499.07 30398.11 30393.19 26188.98 29598.66 27370.89 31899.08 19892.43 27095.21 20696.72 289
Test492.63 27190.45 28299.17 13892.81 30799.02 12999.98 17099.13 24096.60 16482.04 31696.27 29551.35 32598.75 22997.55 19498.36 14899.75 159
MDA-MVSNet_test_wron92.61 27291.09 27897.19 24196.71 29197.26 222100.00 199.14 23588.61 29767.90 32498.32 28689.03 24996.57 28890.47 28289.59 26997.74 220
test235692.55 27393.94 25188.39 29993.49 30678.42 312100.00 199.40 13391.64 27293.93 28098.74 26991.11 22188.67 32179.37 31297.79 17598.08 190
YYNet192.44 27490.92 27997.03 24496.20 29397.06 22999.99 15499.14 23588.21 29967.93 32398.43 28188.63 25396.28 30190.64 27889.08 27597.74 220
MIMVSNet191.96 27591.20 27694.23 28894.94 30491.69 29599.34 27399.22 21588.23 29894.18 27998.45 27975.52 31493.41 31579.37 31291.49 24697.60 269
TDRefinement91.93 27690.48 28196.27 27281.60 32392.65 28999.10 29997.61 31593.96 23593.77 28299.85 16680.03 30399.53 17397.82 18770.59 32096.63 290
OpenMVS_ROBcopyleft88.34 2091.89 27791.12 27794.19 28995.55 30087.63 30399.26 27898.03 30586.61 30390.65 29296.82 29170.14 31998.78 22386.54 30096.50 19096.15 295
N_pmnet91.88 27893.37 25987.40 30197.24 28866.33 32599.90 19691.05 33089.77 28995.65 27098.58 27690.05 23798.11 26985.39 30192.72 23597.75 198
pmmvs-eth3d91.73 27990.67 28094.92 28291.63 31092.71 28899.90 19698.54 29491.19 27788.08 30595.50 30379.31 30796.13 30390.55 28181.32 30395.91 306
MDA-MVSNet-bldmvs91.65 28089.94 28396.79 26396.72 29096.70 23799.42 26798.94 27888.89 29666.97 32698.37 28481.43 29795.91 30589.24 29589.46 27197.75 198
testus91.61 28192.92 26187.70 30093.91 30574.98 316100.00 198.19 29992.59 26693.90 28198.68 27181.43 29790.77 31979.82 31197.71 17897.34 281
testing_290.79 28288.26 28898.35 17789.11 31498.56 14899.70 24099.14 23593.70 24573.80 31994.06 31555.19 32298.76 22897.17 20492.50 23797.74 220
CMPMVSbinary66.12 2290.65 28392.04 27086.46 30396.18 29466.87 32498.03 31699.38 15283.38 31285.49 31199.55 21477.59 31098.80 22294.44 24794.31 22293.72 313
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
pmmvs390.62 28489.36 28594.40 28590.53 31291.49 296100.00 196.73 32184.21 31093.65 28396.65 29282.56 29394.83 31082.28 30677.62 31296.89 287
new-patchmatchnet90.30 28589.46 28492.84 29390.77 31188.55 30299.83 20898.80 28490.07 28487.86 30695.00 31278.77 30894.30 31284.86 30279.15 30795.68 310
UnsupCasMVSNet_bld89.50 28688.00 28993.99 29095.30 30188.86 30198.52 31299.28 19685.50 30787.80 30794.11 31461.63 32196.96 28790.63 27979.26 30596.15 295
111188.62 28789.13 28687.08 30287.71 31577.22 31399.96 17997.71 31385.51 30583.47 31496.26 29695.76 15390.96 31766.63 32389.17 27493.07 314
PM-MVS88.39 28887.41 29091.31 29491.73 30982.02 31099.79 21996.62 32291.06 27890.71 29195.73 29848.60 32795.96 30490.56 28081.91 30295.97 298
test123567888.02 28988.73 28785.90 30587.57 31771.70 320100.00 197.42 31687.52 30286.19 30996.39 29481.60 29587.93 32270.72 32091.18 24898.08 190
test1235686.30 29087.15 29183.77 30984.24 32072.00 31899.94 18996.80 32084.63 30985.16 31296.51 29377.02 31286.31 32570.06 32189.93 26593.00 315
.test124585.18 29184.81 29286.28 30487.71 31577.22 31399.96 17997.71 31385.51 30583.47 31496.26 29695.76 15390.96 31766.63 32350.30 32490.64 318
Gipumacopyleft84.73 29283.50 29388.40 29897.50 27882.21 30988.87 32599.05 27165.81 32185.71 31090.49 31953.70 32396.31 29978.64 31491.74 24386.67 322
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
Anonymous2023121184.35 29382.41 29490.15 29589.14 31378.88 31198.71 30998.22 29870.20 32086.88 30895.44 30547.11 32995.72 30881.14 30774.88 31895.84 309
testmvs80.17 29481.95 29574.80 31558.54 33459.58 332100.00 187.14 33476.09 31799.61 138100.00 167.06 32074.19 33398.84 14550.30 32490.64 318
testmv79.83 29579.77 29679.99 31278.22 32763.55 32899.67 24695.51 32680.89 31476.24 31892.90 31752.16 32486.10 32662.45 32679.90 30490.33 320
test12379.44 29679.23 29880.05 31180.03 32571.72 319100.00 177.93 33762.52 32294.81 27499.69 18978.21 30974.53 33292.57 26727.33 33293.90 311
PMMVS279.15 29777.28 29984.76 30882.34 32272.66 31799.70 24095.11 32771.68 31984.78 31390.87 31832.05 33289.99 32075.53 31863.45 32191.64 316
LCM-MVSNet79.01 29876.93 30085.27 30778.28 32668.01 32396.57 32098.03 30555.10 32682.03 31793.27 31631.99 33393.95 31382.72 30574.37 31993.84 312
FPMVS77.92 29979.45 29773.34 31776.87 32846.81 33598.24 31499.05 27159.89 32573.55 32098.34 28536.81 33186.55 32380.96 30891.35 24786.65 323
tmp_tt75.80 30074.26 30180.43 31052.91 33653.67 33487.42 32797.98 30861.80 32367.04 325100.00 176.43 31396.40 29796.47 22028.26 33191.23 317
no-one74.65 30171.03 30285.51 30680.99 32475.42 31599.70 24097.15 31781.02 31366.48 32780.55 33129.10 33493.65 31473.74 31930.53 33087.47 321
E-PMN70.72 30270.06 30372.69 31983.92 32165.48 32799.95 18592.72 32949.88 32972.30 32186.26 32547.17 32877.43 33053.83 33044.49 32675.17 330
PNet_i23d69.93 30367.61 30576.86 31375.89 32962.08 33197.85 31788.23 33261.04 32455.65 32984.10 32719.35 33683.21 32766.45 32559.98 32285.29 325
EMVS69.88 30469.09 30472.24 32084.70 31965.82 32699.96 17987.08 33549.82 33071.51 32284.74 32649.30 32675.32 33150.97 33143.71 32775.59 329
MVEpermissive68.59 2167.22 30564.68 30774.84 31474.67 33162.32 33095.84 32190.87 33150.98 32858.72 32881.05 32912.20 34078.95 32961.06 32856.75 32383.24 326
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
ANet_high66.05 30663.44 30873.88 31661.14 33363.45 32995.68 32387.18 33379.93 31547.35 33080.68 33022.35 33572.33 33461.24 32735.42 32985.88 324
PMVScopyleft60.66 2365.98 30765.05 30668.75 32155.06 33538.40 33688.19 32696.98 31848.30 33144.82 33288.52 32212.22 33986.49 32467.58 32283.79 29981.35 327
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
wuykxyi23d62.75 30859.23 30973.34 31761.53 33259.39 33393.28 32486.17 33653.70 32746.89 33177.89 33212.35 33779.96 32860.86 32940.35 32880.68 328
pcd1.5k->3k40.07 30942.58 31032.57 32297.97 2610.00 3380.00 32999.25 2070.00 3330.00 3340.14 33591.10 2220.00 3360.00 33394.75 21697.70 243
wuyk23d28.28 31029.73 31223.92 32375.89 32932.61 33766.50 32812.88 33816.09 33214.59 33316.59 33412.35 33732.36 33539.36 33213.36 3336.79 331
cdsmvs_eth3d_5k24.41 31132.55 3110.00 3240.00 3370.00 3380.00 32999.39 1480.00 3330.00 334100.00 193.55 1790.00 3360.00 3330.00 3340.00 332
ab-mvs-re8.33 31211.11 3130.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 334100.00 10.00 3410.00 3360.00 3330.00 3340.00 332
pcd_1.5k_mvsjas8.24 31310.99 3140.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.14 33598.75 950.00 3360.00 3330.00 3340.00 332
sosnet-low-res0.01 3140.02 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.14 3350.00 3410.00 3360.00 3330.00 3340.00 332
sosnet0.01 3140.02 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.14 3350.00 3410.00 3360.00 3330.00 3340.00 332
uncertanet0.01 3140.02 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.14 3350.00 3410.00 3360.00 3330.00 3340.00 332
Regformer0.01 3140.02 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.14 3350.00 3410.00 3360.00 3330.00 3340.00 332
uanet0.01 3140.02 3150.00 3240.00 3370.00 3380.00 3290.00 3390.00 3330.00 3340.14 3350.00 3410.00 3360.00 3330.00 3340.00 332
sam_mvs199.29 51
sam_mvs99.33 40
semantic-postprocess97.62 22399.40 16796.83 23499.14 23594.65 22097.55 24299.72 18389.64 24398.31 26195.62 23192.05 24097.73 230
ambc88.45 29786.84 31870.76 32297.79 31998.02 30790.91 29095.14 31038.69 33098.51 25194.97 24284.23 29896.09 297
MTGPAbinary99.42 102
test_post199.32 27488.24 32399.33 4099.59 15498.31 171
test_post89.05 32199.49 2699.59 154
patchmatchnet-post97.79 28899.41 3699.54 169
GG-mvs-BLEND99.59 10499.54 14199.49 9299.17 29499.52 5799.96 8699.68 194100.00 199.33 19199.71 9799.99 8599.96 90
MTMP99.18 226
gm-plane-assit99.52 14997.26 22295.86 190100.00 199.43 18398.76 150
test9_res100.00 1100.00 1100.00 1
TEST9100.00 199.95 17100.00 199.42 10297.65 109100.00 1100.00 199.53 1799.97 86
test_8100.00 199.91 36100.00 199.42 10297.70 105100.00 1100.00 199.51 2099.98 82
agg_prior2100.00 1100.00 1100.00 1
agg_prior100.00 199.88 5399.42 102100.00 199.97 86
TestCases98.99 14799.93 8697.35 21799.40 13397.08 14199.09 16299.98 13293.37 18099.95 10696.94 20999.84 10799.68 170
test_prior499.93 30100.00 1
test_prior2100.00 198.82 34100.00 1100.00 199.47 29100.00 1100.00 1
test_prior99.90 60100.00 199.75 6999.73 4599.97 86100.00 1
旧先验2100.00 198.11 73100.00 1100.00 199.67 103
新几何2100.00 1
新几何199.99 4100.00 199.96 899.81 3297.89 90100.00 1100.00 199.20 61100.00 197.91 185100.00 1100.00 1
旧先验199.99 4399.88 5399.82 31100.00 199.27 55100.00 1100.00 1
无先验100.00 199.80 3397.98 82100.00 199.33 125100.00 1
原ACMM2100.00 1
原ACMM199.93 52100.00 199.80 6599.66 5298.18 64100.00 1100.00 199.43 34100.00 199.50 116100.00 1100.00 1
test22299.99 4399.90 42100.00 199.69 5197.66 108100.00 1100.00 199.30 50100.00 1100.00 1
testdata2100.00 197.36 202
segment_acmp99.55 16
testdata99.66 9699.99 4398.97 13699.73 4597.96 86100.00 1100.00 199.42 35100.00 199.28 129100.00 1100.00 1
testdata1100.00 198.77 38
test1299.95 4399.99 4399.89 4599.42 102100.00 199.24 5799.97 86100.00 1100.00 1
plane_prior799.00 19894.78 263
plane_prior699.06 19094.80 25988.58 256
plane_prior599.40 13399.55 16699.79 8795.57 19597.76 194
plane_prior499.97 140
plane_prior394.79 26299.03 1699.08 164
plane_prior2100.00 199.00 19
plane_prior199.02 193
plane_prior94.80 259100.00 199.03 1695.58 191
n20.00 339
nn0.00 339
door-mid96.32 324
lessismore_v096.05 27497.55 27691.80 29499.22 21591.87 28899.91 15883.50 28998.68 23692.48 26990.42 25897.68 250
LGP-MVS_train97.28 23798.85 21394.60 26999.37 15597.35 12998.85 17699.98 13286.66 26999.56 16199.55 11095.26 20297.70 243
test1199.42 102
door96.13 325
HQP5-MVS94.82 256
HQP-NCC99.07 186100.00 199.04 1399.17 156
ACMP_Plane99.07 186100.00 199.04 1399.17 156
BP-MVS99.79 87
HQP4-MVS99.17 15699.57 15797.77 192
HQP3-MVS99.40 13395.58 191
HQP2-MVS88.61 254
NP-MVS99.07 18694.81 25899.97 140
MDTV_nov1_ep13_2view99.24 11699.56 25696.31 18099.96 8698.86 8998.92 14299.89 117
MDTV_nov1_ep1398.94 9499.53 14498.36 15899.39 26999.46 7796.54 16799.99 7499.63 20698.92 8599.86 12998.30 17298.71 130
ACMMP++_ref94.58 221
ACMMP++95.17 208
Test By Simon99.10 68
ITE_SJBPF96.84 25998.96 20493.49 28098.12 30298.12 7298.35 20999.97 14084.45 28199.56 16195.63 23095.25 20497.49 274
DeepMVS_CXcopyleft89.98 29698.90 20771.46 32199.18 22697.61 11396.92 25599.83 16986.07 27399.83 13596.02 22297.65 17998.65 186