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 bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
CHOSEN 280x42099.85 399.87 199.80 10799.99 5999.97 2299.97 22099.98 1698.96 28100.00 1100.00 199.96 399.42 236100.00 1100.00 1100.00 1
MSLP-MVS++99.89 199.85 299.99 12100.00 199.96 25100.00 199.95 1899.11 7100.00 1100.00 199.60 14100.00 1100.00 1100.00 1100.00 1
NCCC99.86 299.82 3100.00 1100.00 199.99 5100.00 199.71 6399.07 9100.00 1100.00 199.59 17100.00 1100.00 1100.00 1100.00 1
MCST-MVS99.85 399.80 4100.00 1100.00 199.99 5100.00 199.73 5799.19 5100.00 1100.00 199.31 63100.00 1100.00 1100.00 1100.00 1
CNVR-MVS99.85 399.80 4100.00 1100.00 199.99 5100.00 199.77 4799.07 9100.00 1100.00 199.39 56100.00 1100.00 1100.00 1100.00 1
DVP-MVScopyleft99.83 799.78 6100.00 1100.00 199.99 5100.00 199.42 13099.04 14100.00 1100.00 199.53 26100.00 1100.00 1100.00 1100.00 1
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
test_prior399.81 1199.78 699.90 85100.00 199.75 106100.00 199.73 5798.82 43100.00 1100.00 199.47 4299.97 122100.00 1100.00 1100.00 1
APDe-MVS99.84 699.78 699.99 12100.00 199.98 17100.00 199.44 11299.06 11100.00 1100.00 199.56 2099.99 93100.00 1100.00 1100.00 1
SED-MVS99.83 799.77 9100.00 1100.00 199.99 5100.00 199.42 13099.03 19100.00 1100.00 199.50 36100.00 1100.00 1100.00 1100.00 1
MSP-MVS99.81 1199.77 999.94 76100.00 199.86 89100.00 199.42 13098.87 39100.00 1100.00 199.65 1299.96 136100.00 1100.00 1100.00 1
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
TSAR-MVS + MP.99.82 999.77 999.99 12100.00 199.96 25100.00 199.43 12299.05 13100.00 1100.00 199.45 4599.99 93100.00 1100.00 1100.00 1
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
HPM-MVS++copyleft99.82 999.76 1299.99 1299.99 5999.98 17100.00 199.83 3898.88 3799.96 117100.00 199.21 81100.00 1100.00 1100.00 199.99 110
PAPM99.78 1799.76 1299.85 9699.01 26499.95 34100.00 199.75 5299.37 399.99 103100.00 199.76 899.60 197100.00 1100.00 1100.00 1
DVP-MVS++99.81 1199.75 14100.00 1100.00 199.99 5100.00 199.42 13098.79 47100.00 1100.00 199.54 23100.00 1100.00 1100.00 1100.00 1
SD-MVS99.81 1199.75 1499.99 1299.99 5999.96 25100.00 199.42 13099.01 24100.00 1100.00 199.33 58100.00 1100.00 1100.00 1100.00 1
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
PLCcopyleft98.56 299.70 4099.74 1699.58 137100.00 198.79 187100.00 199.54 7098.58 5999.96 117100.00 199.59 17100.00 1100.00 1100.00 199.94 128
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
DPE-MVScopyleft99.79 1599.73 1799.99 1299.99 5999.98 17100.00 199.42 13098.91 35100.00 1100.00 199.22 79100.00 1100.00 1100.00 1100.00 1
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
XVS99.79 1599.73 1799.98 25100.00 199.94 42100.00 199.75 5298.67 54100.00 1100.00 199.16 85100.00 1100.00 1100.00 1100.00 1
DeepPCF-MVS98.03 498.54 16699.72 1994.98 32499.99 5984.94 361100.00 199.42 13099.98 1100.00 1100.00 198.11 149100.00 1100.00 1100.00 1100.00 1
SteuartSystems-ACMMP99.78 1799.71 2099.98 2599.76 15099.95 34100.00 199.42 13098.69 52100.00 1100.00 199.52 2999.99 93100.00 1100.00 1100.00 1
Skip Steuart: Steuart Systems R&D Blog.
xxxxxxxxxxxxxcwj99.77 1999.70 2199.97 3499.99 5999.93 47100.00 199.31 23098.93 32100.00 1100.00 199.05 9399.99 93100.00 1100.00 1100.00 1
API-MVS99.72 3399.70 2199.79 10999.97 10199.37 14699.96 22499.94 2198.48 62100.00 1100.00 198.92 114100.00 1100.00 1100.00 1100.00 1
TSAR-MVS + GP.99.61 6999.69 2399.35 16299.99 5998.06 231100.00 199.36 20899.83 2100.00 1100.00 198.95 10999.99 93100.00 199.11 156100.00 1
EPNet99.62 6799.69 2399.42 15399.99 5998.37 209100.00 199.89 3598.83 41100.00 1100.00 198.97 105100.00 199.90 10099.61 14899.89 156
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
DP-MVS Recon99.76 2099.69 2399.98 25100.00 199.95 34100.00 199.52 7297.99 9999.99 103100.00 199.72 9100.00 199.96 88100.00 1100.00 1
#test#99.75 2299.68 2699.96 49100.00 199.89 73100.00 199.76 4898.07 94100.00 1100.00 199.31 63100.00 199.99 62100.00 1100.00 1
Regformer-199.75 2299.68 2699.98 25100.00 199.94 42100.00 199.44 11298.43 64100.00 1100.00 199.23 7799.99 9399.99 62100.00 1100.00 1
Regformer-299.75 2299.68 2699.97 34100.00 199.94 42100.00 199.44 11298.42 66100.00 1100.00 199.22 7999.99 9399.99 62100.00 1100.00 1
PAPR99.76 2099.68 2699.99 12100.00 199.96 25100.00 199.47 8098.16 84100.00 1100.00 199.51 31100.00 1100.00 1100.00 1100.00 1
MG-MVS99.75 2299.68 2699.97 34100.00 199.91 5799.98 21499.47 8099.09 8100.00 1100.00 198.59 136100.00 199.95 94100.00 1100.00 1
HFP-MVS99.74 2799.67 3199.96 49100.00 199.89 73100.00 199.76 4897.95 108100.00 1100.00 199.31 63100.00 199.99 62100.00 1100.00 1
ACMMPR99.74 2799.67 3199.96 49100.00 199.89 73100.00 199.76 4897.95 108100.00 1100.00 199.29 70100.00 199.99 62100.00 1100.00 1
DeepC-MVS_fast98.92 199.75 2299.67 3199.99 1299.99 5999.96 2599.73 26999.52 7299.06 11100.00 1100.00 198.80 126100.00 199.95 94100.00 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
PAPM_NR99.74 2799.66 3499.99 12100.00 199.96 25100.00 199.47 8097.87 114100.00 1100.00 199.60 14100.00 1100.00 1100.00 1100.00 1
Regformer-399.73 3099.65 3599.96 49100.00 199.89 73100.00 199.44 11298.40 67100.00 1100.00 199.03 10099.97 12299.99 62100.00 1100.00 1
Regformer-499.73 3099.65 3599.95 61100.00 199.89 73100.00 199.44 11298.40 67100.00 1100.00 199.03 10099.97 12299.99 62100.00 1100.00 1
MVS_111021_LR99.70 4099.65 3599.88 9299.96 10799.70 116100.00 199.97 1798.96 28100.00 1100.00 197.93 15399.95 14299.99 62100.00 1100.00 1
CNLPA99.72 3399.65 3599.91 8299.97 10199.72 111100.00 199.47 8098.43 6499.88 155100.00 199.14 88100.00 199.97 86100.00 1100.00 1
region2R99.72 3399.64 3999.97 34100.00 199.90 65100.00 199.74 5597.86 115100.00 1100.00 199.19 83100.00 199.99 62100.00 1100.00 1
EI-MVSNet-Vis-set99.70 4099.64 3999.87 93100.00 199.64 12299.98 21499.44 11298.35 7699.99 103100.00 199.04 9699.96 13699.98 79100.00 1100.00 1
CDPH-MVS99.73 3099.64 3999.99 12100.00 199.97 22100.00 199.42 13098.02 97100.00 1100.00 199.32 6199.99 93100.00 1100.00 1100.00 1
F-COLMAP99.64 5999.64 3999.67 12399.99 5999.07 169100.00 199.44 11298.30 8099.90 150100.00 199.18 8499.99 9399.91 99100.00 199.94 128
train_agg99.71 3699.63 4399.97 34100.00 199.95 34100.00 199.42 13097.70 127100.00 1100.00 199.51 3199.97 122100.00 1100.00 1100.00 1
agg_prior199.71 3699.63 4399.95 61100.00 199.88 83100.00 199.42 13097.72 123100.00 1100.00 199.51 3199.97 122100.00 1100.00 1100.00 1
EI-MVSNet-UG-set99.69 4499.63 4399.87 9399.99 5999.64 12299.95 22999.44 11298.35 76100.00 1100.00 198.98 10399.97 12299.98 79100.00 1100.00 1
MVS_111021_HR99.71 3699.63 4399.93 7999.95 10899.83 96100.00 1100.00 198.89 36100.00 1100.00 197.85 15599.95 142100.00 1100.00 1100.00 1
ZNCC-MVS99.71 3699.62 4799.97 3499.99 5999.90 65100.00 199.79 4497.97 10399.97 112100.00 198.97 105100.00 199.94 96100.00 1100.00 1
testtj99.70 4099.61 4899.99 12100.00 199.98 17100.00 199.53 7197.71 126100.00 1100.00 199.23 77100.00 1100.00 1100.00 1100.00 1
PGM-MVS99.69 4499.61 4899.95 6199.99 5999.85 92100.00 199.58 6897.69 129100.00 1100.00 199.44 46100.00 199.79 116100.00 1100.00 1
mPP-MVS99.69 4499.60 5099.97 34100.00 199.91 57100.00 199.42 13097.91 110100.00 1100.00 199.04 96100.00 1100.00 1100.00 1100.00 1
ETH3 D test640099.68 4899.59 5199.97 3499.99 5999.93 47100.00 199.42 13097.97 103100.00 1100.00 198.90 11699.99 93100.00 1100.00 1100.00 1
SMA-MVScopyleft99.69 4499.59 5199.98 2599.99 5999.93 47100.00 199.43 12297.50 154100.00 1100.00 199.43 50100.00 1100.00 1100.00 1100.00 1
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology
zzz-MVS99.68 4899.59 5199.97 3499.99 5999.91 57100.00 199.42 13098.32 7899.94 141100.00 198.65 131100.00 199.96 88100.00 1100.00 1
MTAPA99.68 4899.59 5199.97 3499.99 5999.91 57100.00 199.42 13098.32 7899.94 141100.00 198.65 131100.00 199.96 88100.00 1100.00 1
SR-MVS99.68 4899.58 5599.98 25100.00 199.95 34100.00 199.64 6697.59 142100.00 1100.00 198.99 10299.99 93100.00 1100.00 1100.00 1
APD-MVScopyleft99.68 4899.58 5599.97 3499.99 5999.96 25100.00 199.42 13097.53 150100.00 1100.00 199.27 7399.97 122100.00 1100.00 1100.00 1
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
CP-MVS99.67 5399.58 5599.95 61100.00 199.84 95100.00 199.42 13097.77 120100.00 1100.00 199.07 91100.00 1100.00 1100.00 1100.00 1
SF-MVS99.66 5599.57 5899.95 6199.99 5999.85 92100.00 199.42 13097.67 130100.00 1100.00 199.05 9399.99 93100.00 1100.00 1100.00 1
9.1499.57 5899.99 59100.00 199.42 13097.54 148100.00 1100.00 199.15 8799.99 93100.00 1100.00 1
ETH3D-3000-0.199.66 5599.57 5899.95 6199.99 5999.85 92100.00 199.42 13097.58 144100.00 1100.00 199.12 8999.99 93100.00 1100.00 1100.00 1
ACMMP_NAP99.67 5399.57 5899.97 3499.98 9799.92 54100.00 199.42 13097.83 116100.00 1100.00 198.89 118100.00 199.98 79100.00 1100.00 1
PS-MVSNAJ99.64 5999.57 5899.85 9699.78 14599.81 9899.95 22999.42 13098.38 70100.00 1100.00 198.75 128100.00 199.88 10399.99 11199.74 208
ACMMPcopyleft99.65 5799.57 5899.89 8899.99 5999.66 12099.75 26499.73 5798.16 8499.75 175100.00 198.90 116100.00 199.96 8899.88 132100.00 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
DELS-MVS99.62 6799.56 6499.82 10099.92 11699.45 138100.00 199.78 4698.92 3499.73 176100.00 197.70 159100.00 199.93 97100.00 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
RE-MVS-def99.55 6599.99 5999.91 57100.00 199.42 13097.62 136100.00 1100.00 198.94 11199.99 62100.00 1100.00 1
APD-MVS_3200maxsize99.65 5799.55 6599.97 3499.99 5999.91 57100.00 199.48 7997.54 148100.00 1100.00 198.97 10599.99 9399.98 79100.00 1100.00 1
test117299.64 5999.53 6799.96 49100.00 199.90 65100.00 199.51 7697.59 142100.00 1100.00 198.65 13199.99 9399.99 62100.00 1100.00 1
ETH3D cwj APD-0.1699.63 6399.53 6799.94 7699.97 10199.82 97100.00 199.42 13097.39 162100.00 1100.00 198.98 10399.99 93100.00 1100.00 1100.00 1
GST-MVS99.64 5999.53 6799.95 61100.00 199.86 89100.00 199.79 4497.72 12399.95 139100.00 198.39 142100.00 199.96 8899.99 111100.00 1
SR-MVS-dyc-post99.63 6399.52 7099.97 3499.99 5999.91 57100.00 199.42 13097.62 136100.00 1100.00 198.65 13199.99 9399.99 62100.00 1100.00 1
DPM-MVS99.63 6399.51 71100.00 199.90 119100.00 1100.00 199.43 12299.00 25100.00 1100.00 199.58 19100.00 197.64 250100.00 1100.00 1
112199.63 6399.51 7199.99 1299.99 5999.96 2599.24 32199.74 5597.89 111100.00 1100.00 199.39 56100.00 199.33 172100.00 1100.00 1
MP-MVS-pluss99.61 6999.50 7399.97 3499.98 9799.92 54100.00 199.42 13097.53 15099.77 172100.00 198.77 127100.00 199.99 62100.00 199.99 110
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
HPM-MVScopyleft99.59 7399.50 7399.89 88100.00 199.70 116100.00 199.42 13097.46 157100.00 1100.00 198.60 13599.96 13699.99 62100.00 1100.00 1
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
MP-MVScopyleft99.61 6999.49 7599.98 2599.99 5999.94 42100.00 199.42 13097.82 11799.99 103100.00 198.20 145100.00 199.99 62100.00 1100.00 1
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
HPM-MVS_fast99.60 7299.49 7599.91 8299.99 5999.78 101100.00 199.42 13097.09 184100.00 1100.00 198.95 10999.96 13699.98 79100.00 1100.00 1
xiu_mvs_v2_base99.51 7699.41 7799.82 10099.70 15699.73 11099.92 23599.40 18498.15 86100.00 1100.00 198.50 139100.00 199.85 10799.13 15599.74 208
abl_699.53 7599.40 7899.92 81100.00 199.76 104100.00 199.42 13097.21 177100.00 1100.00 198.12 148100.00 199.82 115100.00 1100.00 1
WTY-MVS99.54 7499.40 7899.95 6199.81 13099.93 47100.00 1100.00 197.98 10199.84 158100.00 198.94 11199.98 11799.86 10598.21 19499.94 128
PHI-MVS99.50 7999.39 8099.82 100100.00 199.45 138100.00 199.94 2196.38 229100.00 1100.00 198.18 146100.00 1100.00 1100.00 1100.00 1
test250699.48 8399.38 8199.75 11699.89 12199.51 12999.45 302100.00 198.38 7099.83 160100.00 198.86 11999.81 17899.25 17898.78 16499.94 128
CPTT-MVS99.49 8199.38 8199.85 96100.00 199.54 127100.00 199.42 13097.58 14499.98 108100.00 197.43 173100.00 199.99 62100.00 1100.00 1
OMC-MVS99.27 10599.38 8198.96 19199.95 10897.06 275100.00 199.40 18498.83 4199.88 155100.00 197.01 18299.86 16499.47 16399.84 13599.97 117
test_yl99.51 7699.37 8499.95 6199.82 12699.90 65100.00 199.47 8097.48 155100.00 1100.00 199.80 4100.00 199.98 7997.75 21699.94 128
DCV-MVSNet99.51 7699.37 8499.95 6199.82 12699.90 65100.00 199.47 8097.48 155100.00 1100.00 199.80 4100.00 199.98 7997.75 21699.94 128
PVSNet_Blended99.48 8399.36 8699.83 9999.98 9799.60 124100.00 1100.00 197.79 119100.00 1100.00 196.57 19799.99 93100.00 199.88 13299.90 151
MAR-MVS99.49 8199.36 8699.89 8899.97 10199.66 12099.74 26599.95 1897.89 111100.00 1100.00 196.71 195100.00 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
HY-MVS96.53 999.50 7999.35 8899.96 4999.81 13099.93 4799.64 281100.00 197.97 10399.84 15899.85 21998.94 11199.99 9399.86 10598.23 19399.95 125
CSCG99.28 10399.35 8899.05 18399.99 5997.15 271100.00 199.47 8097.44 15999.42 191100.00 197.83 156100.00 199.99 62100.00 1100.00 1
sss99.45 8599.34 9099.80 10799.76 15099.50 130100.00 199.91 3497.72 12399.98 10899.94 20698.45 140100.00 199.53 16098.75 16799.89 156
thisisatest051599.42 8799.31 9199.74 11799.59 18599.55 126100.00 199.46 9596.65 21499.92 147100.00 199.44 4699.85 16899.09 18799.63 14799.81 191
thisisatest053099.37 9299.27 9299.69 12199.59 18599.41 141100.00 199.46 9596.46 22499.90 150100.00 199.44 4699.85 16898.97 19099.58 14999.80 201
AdaColmapbinary99.44 8699.26 9399.95 61100.00 199.86 8999.70 27499.99 1398.53 6099.90 150100.00 195.34 215100.00 199.92 98100.00 1100.00 1
114514_t99.39 8999.25 9499.81 10399.97 10199.48 137100.00 199.42 13095.53 256100.00 1100.00 198.37 14399.95 14299.97 86100.00 1100.00 1
PVSNet94.91 1899.30 10199.25 9499.44 150100.00 198.32 215100.00 199.86 3798.04 96100.00 1100.00 196.10 205100.00 199.55 15599.73 141100.00 1
ETV-MVS99.34 9699.24 9699.64 12699.58 19099.33 148100.00 199.25 25697.57 14699.96 117100.00 197.44 17299.79 18099.70 13199.65 14599.81 191
CANet99.40 8899.24 9699.89 8899.99 5999.76 104100.00 199.73 5798.40 6799.78 171100.00 195.28 21699.96 136100.00 199.99 11199.96 120
HyFIR lowres test99.32 9999.24 9699.58 13799.95 10899.26 154100.00 199.99 1396.72 20799.29 19999.91 21199.49 3899.47 22899.74 12498.08 201100.00 1
tttt051799.34 9699.23 9999.67 12399.57 19399.38 143100.00 199.46 9596.33 23299.89 153100.00 199.44 4699.84 17098.93 19299.46 15399.78 203
DWT-MVSNet_test99.22 11399.22 10099.22 17799.56 19697.98 23699.89 24199.39 19797.20 17899.96 117100.00 199.52 2999.82 17499.11 18698.34 18599.87 175
xiu_mvs_v1_base_debu99.35 9399.21 10199.79 10999.67 16399.71 11299.78 25699.36 20898.13 88100.00 1100.00 197.00 185100.00 199.83 11099.07 15799.66 217
xiu_mvs_v1_base99.35 9399.21 10199.79 10999.67 16399.71 11299.78 25699.36 20898.13 88100.00 1100.00 197.00 185100.00 199.83 11099.07 15799.66 217
xiu_mvs_v1_base_debi99.35 9399.21 10199.79 10999.67 16399.71 11299.78 25699.36 20898.13 88100.00 1100.00 197.00 185100.00 199.83 11099.07 15799.66 217
alignmvs99.38 9099.21 10199.91 8299.73 15399.92 54100.00 199.51 7697.61 138100.00 1100.00 199.06 9299.93 15599.83 11097.12 22499.90 151
EIA-MVS99.26 10799.19 10599.45 14999.63 17598.75 188100.00 199.27 25196.93 19399.95 139100.00 197.47 16999.79 18099.74 12499.72 14299.82 187
131499.38 9099.19 10599.96 4998.88 27999.89 7399.24 32199.93 2998.88 3798.79 233100.00 197.02 181100.00 1100.00 1100.00 1100.00 1
CS-MVS99.28 10399.18 10799.57 14099.45 22499.21 162100.00 199.22 26797.14 18099.96 117100.00 197.49 16699.66 19599.64 14599.76 14099.83 182
PVSNet_Blended_VisFu99.33 9899.18 10799.78 11399.82 12699.49 133100.00 199.95 1897.36 16499.63 181100.00 196.45 20199.95 14299.79 11699.65 14599.89 156
lupinMVS99.29 10299.16 10999.69 12199.45 22499.49 133100.00 199.15 29197.45 15899.97 112100.00 196.76 19399.76 18599.67 140100.00 199.81 191
EPMVS99.25 11099.13 11099.60 13199.60 18299.20 16399.60 288100.00 196.93 19399.92 14799.36 29099.05 9399.71 19298.77 20198.94 16199.90 151
LS3D99.31 10099.13 11099.87 9399.99 5999.71 11299.55 29299.46 9597.32 16999.82 168100.00 196.85 19299.97 12299.14 183100.00 199.92 140
CS-MVS-test99.18 11699.11 11299.39 15999.40 23598.63 198100.00 199.20 27797.06 18899.97 112100.00 197.11 17799.68 19499.66 14299.57 15099.85 177
DROMVSNet99.19 11599.09 11399.48 14799.42 22899.07 169100.00 199.21 27396.95 19299.96 117100.00 196.88 19199.48 22699.64 14599.79 13999.88 167
thres20099.27 10599.04 11499.96 4999.81 13099.90 65100.00 199.94 2197.31 17199.83 16099.96 19597.04 178100.00 199.62 14997.88 20799.98 112
tfpn200view999.26 10799.03 11599.96 4999.81 13099.89 73100.00 199.94 2197.23 17499.83 16099.96 19597.04 178100.00 199.59 15097.85 20999.98 112
thres40099.26 10799.03 11599.95 6199.81 13099.89 73100.00 199.94 2197.23 17499.83 16099.96 19597.04 178100.00 199.59 15097.85 20999.97 117
thres100view90099.25 11099.01 11799.95 6199.81 13099.87 86100.00 199.94 2197.13 18299.83 16099.96 19597.01 182100.00 199.59 15097.85 20999.98 112
thres600view799.24 11299.00 11899.95 6199.81 13099.87 86100.00 199.94 2197.13 18299.83 16099.96 19597.01 182100.00 199.54 15897.77 21599.97 117
EPP-MVSNet99.10 11999.00 11899.40 15699.51 21298.68 19499.92 23599.43 12295.47 26299.65 180100.00 199.51 3199.76 18599.53 16098.00 20299.75 207
mvs-test198.89 14598.99 12098.60 20999.77 14895.96 288100.00 198.94 33997.61 13899.93 14699.92 21095.89 20699.93 15599.36 16899.50 15199.90 151
PMMVS99.12 11798.97 12199.58 13799.57 19398.98 180100.00 199.30 23397.14 18099.96 117100.00 196.53 20099.82 17499.70 13198.49 17499.94 128
MVS99.22 11398.96 12299.98 2599.00 26899.95 3499.24 32199.94 2198.14 8798.88 223100.00 195.63 213100.00 199.85 107100.00 1100.00 1
TESTMET0.1,199.08 12098.96 12299.44 15099.63 17599.38 143100.00 199.45 10295.53 25699.48 187100.00 199.71 1099.02 25396.84 27399.99 11199.91 142
jason99.11 11898.96 12299.59 13399.17 25099.31 150100.00 199.13 30097.38 16399.83 160100.00 195.54 21499.72 19199.57 15499.97 12299.74 208
jason: jason.
PatchmatchNetpermissive99.03 12598.96 12299.26 17399.49 21698.33 21399.38 31099.45 10296.64 21599.96 11799.58 27299.49 3899.50 22497.63 25199.00 16099.93 138
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
CDS-MVSNet98.96 13798.95 12699.01 18799.48 21898.36 21199.93 23499.37 20296.79 20199.31 19899.83 22299.77 798.91 26498.07 23597.98 20399.77 204
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
MDTV_nov1_ep1398.94 12799.53 20098.36 21199.39 30999.46 9596.54 22099.99 10399.63 26398.92 11499.86 16498.30 22798.71 168
baseline298.99 13398.93 12899.18 17999.26 24899.15 166100.00 199.46 9596.71 20896.79 317100.00 199.42 5299.25 24598.75 20399.94 12799.15 229
tpmrst98.98 13698.93 12899.14 18099.61 18097.74 25099.52 29699.36 20896.05 23999.98 10899.64 25999.04 9699.86 16498.94 19198.19 19699.82 187
test-LLR99.03 12598.91 13099.40 15699.40 23599.28 152100.00 199.45 10296.70 20999.42 19199.12 29999.31 6399.01 25596.82 27499.99 11199.91 142
CHOSEN 1792x268899.00 13198.91 13099.25 17499.90 11997.79 249100.00 199.99 1398.79 4798.28 264100.00 193.63 23799.95 14299.66 14299.95 126100.00 1
IS-MVSNet99.08 12098.91 13099.59 13399.65 16899.38 14399.78 25699.24 26196.70 20999.51 185100.00 198.44 14199.52 22198.47 21898.39 18299.88 167
CANet_DTU99.02 12998.90 13399.41 15499.88 12398.71 192100.00 199.29 23898.84 40100.00 1100.00 194.02 233100.00 198.08 23499.96 12499.52 223
Vis-MVSNet (Re-imp)98.99 13398.89 13499.29 16899.64 17398.89 18499.98 21499.31 23096.74 20499.48 187100.00 198.11 14999.10 24998.39 22198.34 18599.89 156
Effi-MVS+-dtu98.51 16998.86 13597.47 27799.77 14894.21 325100.00 198.94 33997.61 13899.91 14998.75 32695.89 20699.51 22399.36 16899.48 15298.68 234
UA-Net99.06 12298.83 13699.74 11799.52 20799.40 14299.08 34699.45 10297.64 13499.83 160100.00 195.80 20999.94 15398.35 22399.80 13899.88 167
test-mter98.96 13798.82 13799.40 15699.40 23599.28 152100.00 199.45 10295.44 26599.42 19199.12 29999.70 1199.01 25596.82 27499.99 11199.91 142
MVSFormer98.94 14098.82 13799.28 17199.45 22499.49 133100.00 199.13 30095.46 26399.97 112100.00 196.76 19398.59 29598.63 210100.00 199.74 208
BH-w/o98.82 14998.81 13998.88 19699.62 17896.71 281100.00 199.28 24397.09 18498.81 231100.00 194.91 22399.96 13699.54 158100.00 199.96 120
DeepC-MVS97.84 599.00 13198.80 14099.60 13199.93 11399.03 174100.00 199.40 18498.61 5899.33 197100.00 192.23 25599.95 14299.74 12499.96 12499.83 182
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
PatchMatch-RL99.02 12998.78 14199.74 11799.99 5999.29 151100.00 1100.00 198.38 7099.89 15399.81 22893.14 24599.99 9397.85 24599.98 11999.95 125
CostFormer98.84 14798.77 14299.04 18599.41 23097.58 25599.67 27999.35 21694.66 27899.96 11799.36 29099.28 7299.74 18899.41 16697.81 21399.81 191
3Dnovator95.63 1499.06 12298.76 14399.96 4998.86 28299.90 6599.98 21499.93 2998.95 3198.49 252100.00 192.91 248100.00 199.71 129100.00 1100.00 1
VNet99.04 12498.75 14499.90 8599.81 13099.75 10699.50 29899.47 8098.36 74100.00 199.99 17594.66 226100.00 199.90 10097.09 22599.96 120
canonicalmvs99.03 12598.73 14599.94 7699.75 15299.95 34100.00 199.30 23397.64 134100.00 1100.00 195.22 21899.97 12299.76 12296.90 23099.91 142
diffmvs98.96 13798.73 14599.63 12799.54 19799.16 165100.00 199.18 28497.33 16899.96 117100.00 194.60 22799.91 15999.66 14298.33 18999.82 187
TAMVS98.76 15198.73 14598.86 19799.44 22797.69 25199.57 29099.34 22196.57 21899.12 20999.81 22898.83 12399.16 24797.97 24297.91 20699.73 212
1112_ss98.91 14298.71 14899.51 14399.69 15798.75 18899.99 19699.15 29196.82 19998.84 228100.00 197.45 17099.89 16098.66 20697.75 21699.89 156
3Dnovator+95.58 1599.03 12598.71 14899.96 4998.99 27199.89 73100.00 199.51 7698.96 2898.32 261100.00 192.78 249100.00 199.87 104100.00 1100.00 1
QAPM98.99 13398.66 15099.96 4999.01 26499.87 8699.88 24499.93 2997.99 9998.68 238100.00 193.17 243100.00 199.32 174100.00 1100.00 1
MVS_Test98.93 14198.65 15199.77 11599.62 17899.50 13099.99 19699.19 27895.52 25899.96 11799.86 21796.54 19999.98 11798.65 20898.48 17599.82 187
BH-untuned98.64 15998.65 15198.60 20999.59 18596.17 287100.00 199.28 24396.67 21398.41 256100.00 194.52 22899.83 17199.41 166100.00 199.81 191
MSDG98.90 14498.63 15399.70 12099.92 11699.25 156100.00 199.37 20295.71 24999.40 196100.00 196.58 19699.95 14296.80 27699.94 12799.91 142
PVSNet_BlendedMVS98.71 15498.62 15498.98 19099.98 9799.60 124100.00 1100.00 197.23 174100.00 199.03 30896.57 19799.99 93100.00 194.75 26297.35 336
baseline198.91 14298.61 15599.81 10399.71 15499.77 10299.78 25699.44 11297.51 15398.81 23199.99 17598.25 14499.76 18598.60 21395.41 24099.89 156
dp98.72 15398.61 15599.03 18699.53 20097.39 26099.45 30299.39 19795.62 25399.94 14199.52 28098.83 12399.82 17496.77 27998.42 17999.89 156
mvs_anonymous98.80 15098.60 15799.38 16099.57 19399.24 158100.00 199.21 27395.87 24298.92 22099.82 22596.39 20299.03 25299.13 18498.50 17399.88 167
Test_1112_low_res98.83 14898.60 15799.51 14399.69 15798.75 18899.99 19699.14 29696.81 20098.84 22899.06 30397.45 17099.89 16098.66 20697.75 21699.89 156
tpm298.64 15998.58 15998.81 20199.42 22897.12 27299.69 27699.37 20293.63 30699.94 14199.67 25198.96 10899.47 22898.62 21297.95 20499.83 182
Fast-Effi-MVS+-dtu98.38 17898.56 16097.82 26899.58 19094.44 322100.00 199.16 29096.75 20399.51 18599.63 26395.03 22199.60 19797.71 24899.67 14499.42 225
DP-MVS98.86 14698.54 16199.81 10399.97 10199.45 13899.52 29699.40 18494.35 29098.36 257100.00 196.13 20499.97 12299.12 185100.00 1100.00 1
MVSTER98.58 16298.52 16298.77 20299.65 16899.68 118100.00 199.29 23895.63 25298.65 23999.80 23199.78 698.88 27098.59 21495.31 24497.73 282
ADS-MVSNet298.28 18498.51 16397.62 27399.51 21295.03 30299.24 32199.41 18295.52 25899.96 11799.70 24497.57 16397.94 33797.11 26598.54 17199.88 167
ADS-MVSNet98.70 15598.51 16399.28 17199.51 21298.39 20699.24 32199.44 11295.52 25899.96 11799.70 24497.57 16399.58 20297.11 26598.54 17199.88 167
CVMVSNet98.56 16498.47 16598.82 19999.11 25297.67 25299.74 26599.47 8097.57 14699.06 214100.00 195.72 21198.97 26098.21 23097.33 22399.83 182
baseline98.69 15698.45 16699.41 15499.52 20798.67 195100.00 199.17 28997.03 19099.13 208100.00 193.17 24399.74 18899.70 13198.34 18599.81 191
RRT_MVS98.48 17098.41 16798.70 20599.64 17399.67 119100.00 199.10 30896.26 23598.75 23499.96 19599.04 9698.75 28298.42 21994.51 26797.68 302
OpenMVScopyleft95.20 1798.76 15198.41 16799.78 11398.89 27899.81 9899.99 19699.76 4898.02 9798.02 278100.00 191.44 261100.00 199.63 14899.97 12299.55 221
AllTest98.55 16598.40 16998.99 18899.93 11397.35 262100.00 199.40 18497.08 18699.09 21099.98 17893.37 23999.95 14296.94 26999.84 13599.68 215
casdiffmvs98.65 15898.38 17099.46 14899.52 20798.74 191100.00 199.15 29196.91 19699.05 215100.00 192.75 25099.83 17199.70 13198.38 18399.81 191
tpmvs98.59 16198.38 17099.23 17599.69 15797.90 24199.31 31699.47 8094.52 28399.68 17999.28 29497.64 16199.89 16097.71 24898.17 19899.89 156
PCF-MVS98.23 398.69 15698.37 17299.62 12899.78 14599.02 17599.23 32799.06 32796.43 22598.08 273100.00 194.72 22599.95 14298.16 23299.91 13099.90 151
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
XVG-OURS98.30 18198.36 17398.13 24299.58 19095.91 291100.00 199.36 20898.69 5299.23 201100.00 191.20 26499.92 15899.34 17197.82 21298.56 237
XVG-OURS-SEG-HR98.27 18598.31 17498.14 23999.59 18595.92 290100.00 199.36 20898.48 6299.21 202100.00 189.27 28899.94 15399.76 12299.17 15498.56 237
miper_enhance_ethall98.33 17998.27 17598.51 21499.66 16799.04 173100.00 199.22 26797.53 15098.51 25099.38 28999.49 3898.75 28298.02 23792.61 28497.76 241
Vis-MVSNetpermissive98.52 16898.25 17699.34 16399.68 16098.55 20099.68 27899.41 18297.34 16799.94 141100.00 190.38 27699.70 19399.03 18998.84 16299.76 206
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
Effi-MVS+98.58 16298.24 17799.61 12999.60 18299.26 15497.85 36199.10 30896.22 23699.97 11299.89 21393.75 23599.77 18499.43 16498.34 18599.81 191
RPSCF97.37 21798.24 17794.76 32799.80 14084.57 36299.99 19699.05 32994.95 27099.82 168100.00 194.03 232100.00 198.15 23398.38 18399.70 213
RRT_test8_iter0598.32 18098.23 17998.60 20999.65 16899.23 161100.00 199.09 31495.65 25098.07 27499.93 20999.25 7598.82 27398.90 19493.50 27497.75 252
EPNet_dtu98.53 16798.23 17999.43 15299.92 11699.01 17799.96 22499.47 8098.80 4599.96 11799.96 19598.56 13799.30 24387.78 34999.68 143100.00 1
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
tpm98.24 18698.22 18198.32 22699.13 25195.79 29399.53 29599.12 30595.20 26699.96 11799.36 29097.58 16299.28 24497.41 25896.67 23199.88 167
COLMAP_ROBcopyleft97.10 798.29 18398.17 18298.65 20799.94 11197.39 26099.30 31799.40 18495.64 25197.75 289100.00 192.69 25299.95 14298.89 19599.92 12998.62 236
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ECVR-MVScopyleft98.43 17298.14 18399.32 16699.89 12198.21 22299.46 300100.00 198.38 7099.47 190100.00 187.91 30299.80 17999.35 17098.78 16499.94 128
test111198.42 17498.12 18499.29 16899.88 12398.15 22499.46 300100.00 198.36 7499.42 191100.00 187.91 30299.79 18099.31 17598.78 16499.94 128
cl2298.23 18798.11 18598.58 21399.82 12699.01 177100.00 199.28 24396.92 19598.33 26099.21 29698.09 15198.97 26098.72 20492.61 28497.76 241
UGNet98.41 17698.11 18599.31 16799.54 19798.55 20099.18 330100.00 198.64 5799.79 17099.04 30687.61 307100.00 199.30 17699.89 13199.40 226
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
BH-RMVSNet98.46 17198.08 18799.59 13399.61 18099.19 164100.00 199.28 24397.06 18898.95 219100.00 188.99 29199.82 17498.83 199100.00 199.77 204
cascas98.43 17298.07 18899.50 14599.65 16899.02 175100.00 199.22 26794.21 29399.72 17799.98 17892.03 25899.93 15599.68 13898.12 19999.54 222
PS-MVSNAJss98.03 19298.06 18997.94 26297.63 32697.33 26599.89 24199.23 26596.27 23498.03 27699.59 27198.75 12898.78 27798.52 21694.61 26597.70 296
test0.0.03 198.12 18998.03 19098.39 22099.11 25298.07 230100.00 199.93 2996.70 20996.91 31399.95 20299.31 6398.19 31791.93 32798.44 17798.91 232
Fast-Effi-MVS+98.40 17798.02 19199.55 14299.63 17599.06 171100.00 199.15 29195.07 26799.42 19199.95 20293.26 24299.73 19097.44 25698.24 19299.87 175
ab-mvs98.42 17498.02 19199.61 12999.71 15499.00 17999.10 34399.64 6696.70 20999.04 21699.81 22890.64 27099.98 11799.64 14597.93 20599.84 179
SCA98.30 18197.98 19399.23 17599.41 23098.25 21999.99 19699.45 10296.91 19699.76 17499.58 27289.65 28399.54 21598.31 22598.79 16399.91 142
EI-MVSNet97.98 19497.93 19498.16 23899.11 25297.84 24699.74 26599.29 23894.39 28998.65 239100.00 197.21 17598.88 27097.62 25295.31 24497.75 252
HQP-MVS97.73 20097.85 19597.39 27899.07 25694.82 306100.00 199.40 18499.04 1499.17 20399.97 18688.61 29799.57 20399.79 11695.58 23497.77 239
D2MVS97.63 20797.83 19697.05 29198.83 28594.60 318100.00 199.82 3996.89 19898.28 26499.03 30894.05 23199.47 22898.58 21594.97 26097.09 341
HQP_MVS97.71 20297.82 19797.37 27999.00 26894.80 309100.00 199.40 18499.00 2599.08 21299.97 18688.58 29999.55 21299.79 11695.57 23897.76 241
tpm cat198.05 19197.76 19898.92 19399.50 21597.10 27499.77 26199.30 23390.20 34199.72 17798.71 32797.71 15899.86 16496.75 28098.20 19599.81 191
TR-MVS98.14 18897.74 19999.33 16499.59 18598.28 21799.27 31899.21 27396.42 22699.15 20799.94 20688.87 29499.79 18098.88 19698.29 19099.93 138
CLD-MVS97.64 20497.74 19997.36 28099.01 26494.76 314100.00 199.34 22199.30 499.00 21799.97 18687.49 30899.57 20399.96 8895.58 23497.75 252
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
FIs97.95 19597.73 20198.62 20898.53 29399.24 158100.00 199.43 12296.74 20497.87 28499.82 22595.27 21798.89 26798.78 20093.07 27997.74 275
CR-MVSNet98.02 19397.71 20298.93 19299.31 24398.86 18599.13 34099.00 33796.53 22199.96 11798.98 31296.94 18898.10 32791.18 33198.40 18099.84 179
miper_ehance_all_eth97.81 19997.66 20398.23 23199.49 21698.37 20999.99 19699.11 30694.78 27398.25 26899.21 29698.18 14698.57 29897.35 26192.61 28497.76 241
GeoE98.06 19097.65 20499.29 16899.47 22198.41 203100.00 199.19 27894.85 27298.88 223100.00 191.21 26399.59 19997.02 26798.19 19699.88 167
FC-MVSNet-test97.84 19797.63 20598.45 21798.30 30399.05 172100.00 199.43 12296.63 21797.61 29599.82 22595.19 21998.57 29898.64 20993.05 28097.73 282
bset_n11_16_dypcd97.66 20397.54 20698.04 25596.88 34598.04 233100.00 199.25 25695.72 24898.47 25399.73 23796.23 20398.34 31298.18 23193.37 27797.74 275
Anonymous20240521197.87 19697.53 20798.90 19499.81 13096.70 28299.35 31399.46 9592.98 32098.83 23099.99 17590.63 271100.00 199.70 13197.03 226100.00 1
IterMVS-LS97.56 20997.44 20897.92 26599.38 24097.90 24199.89 24199.10 30894.41 28898.32 26199.54 27997.21 17598.11 32497.50 25491.62 30097.75 252
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
c3_l97.58 20897.42 20998.06 24999.48 21898.16 22399.96 22499.10 30894.54 28298.13 27299.20 29897.87 15498.25 31697.28 26291.20 30797.75 252
Patchmatch-test97.83 19897.42 20999.06 18199.08 25597.66 25398.66 35499.21 27393.65 30598.25 26899.58 27299.47 4299.57 20390.25 34098.59 17099.95 125
ACMM97.17 697.37 21797.40 21197.29 28499.01 26494.64 317100.00 199.25 25698.07 9498.44 25599.98 17887.38 30999.55 21299.25 17895.19 25197.69 300
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
test_djsdf97.55 21097.38 21298.07 24597.50 33497.99 235100.00 199.13 30095.46 26398.47 25399.85 21992.01 25998.59 29598.63 21095.36 24297.62 319
TAPA-MVS96.40 1097.64 20497.37 21398.45 21799.94 11195.70 294100.00 199.40 18497.65 13299.53 184100.00 199.31 6399.66 19580.48 362100.00 1100.00 1
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
DIV-MVS_self_test97.52 21397.35 21498.05 25399.46 22398.11 227100.00 199.10 30894.21 29397.62 29499.63 26397.65 16098.29 31496.47 28191.98 29597.76 241
cl____97.54 21197.32 21598.18 23599.47 22198.14 226100.00 199.10 30894.16 29697.60 29699.63 26397.52 16598.65 28996.47 28191.97 29697.76 241
LPG-MVS_test97.31 21997.32 21597.28 28598.85 28394.60 318100.00 199.37 20297.35 16598.85 22699.98 17886.66 31599.56 20799.55 15595.26 24697.70 296
eth_miper_zixun_eth97.47 21497.28 21798.06 24999.41 23097.94 23999.62 28699.08 31694.46 28798.19 27199.56 27696.91 19098.50 30396.78 27791.49 30297.74 275
miper_lstm_enhance97.40 21697.28 21797.75 27099.48 21897.52 256100.00 199.07 32094.08 29798.01 27999.61 26997.38 17497.98 33596.44 28491.47 30497.76 241
nrg03097.64 20497.27 21998.75 20398.34 29899.53 128100.00 199.22 26796.21 23798.27 26699.95 20294.40 22998.98 25899.23 18089.78 31997.75 252
GA-MVS97.72 20197.27 21999.06 18199.24 24997.93 240100.00 199.24 26195.80 24798.99 21899.64 25989.77 28199.36 23995.12 30097.62 22199.89 156
LCM-MVSNet-Re96.52 25397.21 22194.44 32899.27 24685.80 36099.85 24696.61 37095.98 24092.75 35098.48 33693.97 23497.55 34299.58 15398.43 17899.98 112
OPM-MVS97.21 22297.18 22297.32 28398.08 31394.66 315100.00 199.28 24398.65 5698.92 22099.98 17886.03 32299.56 20798.28 22895.41 24097.72 288
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
ACMP97.00 897.19 22397.16 22397.27 28798.97 27394.58 321100.00 199.32 22597.97 10397.45 30099.98 17885.79 32499.56 20799.70 13195.24 24997.67 307
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
FMVSNet397.30 22096.95 22498.37 22299.65 16899.25 15699.71 27299.28 24394.23 29198.53 24798.91 31993.30 24198.11 32495.31 29693.60 27197.73 282
IB-MVS96.24 1297.54 21196.95 22499.33 16499.67 16398.10 229100.00 199.47 8097.42 16199.26 20099.69 24698.83 12399.89 16099.43 16478.77 356100.00 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
anonymousdsp97.16 22596.88 22698.00 25897.08 34498.06 23199.81 25199.15 29194.58 28097.84 28599.62 26790.49 27398.60 29397.98 23995.32 24397.33 337
UniMVSNet (Re)97.29 22196.85 22798.59 21298.49 29499.13 167100.00 199.42 13096.52 22298.24 27098.90 32094.93 22298.89 26797.54 25387.61 33697.75 252
pmmvs497.17 22496.80 22898.27 22897.68 32598.64 197100.00 199.18 28494.22 29298.55 24599.71 24193.67 23698.47 30695.66 29092.57 28797.71 295
UniMVSNet_NR-MVSNet97.16 22596.80 22898.22 23298.38 29798.41 203100.00 199.45 10296.14 23897.76 28699.64 25995.05 22098.50 30397.98 23986.84 34097.75 252
jajsoiax97.07 23096.79 23097.89 26697.28 34297.12 27299.95 22999.19 27896.55 21997.31 30399.69 24687.35 31198.91 26498.70 20595.12 25697.66 308
MIMVSNet97.06 23196.73 23198.05 25399.38 24096.64 28498.47 35799.35 21693.41 31099.48 18798.53 33489.66 28297.70 34194.16 31198.11 20099.80 201
mvs_tets97.00 23596.69 23297.94 26297.41 34197.27 26799.60 28899.18 28496.51 22397.35 30299.69 24686.53 31798.91 26498.84 19795.09 25797.65 313
WR-MVS97.09 22896.64 23398.46 21698.43 29599.09 16899.97 22099.33 22395.62 25397.76 28699.67 25191.17 26598.56 30098.49 21789.28 32497.74 275
XXY-MVS97.14 22796.63 23498.67 20698.65 28798.92 18399.54 29499.29 23895.57 25597.63 29299.83 22287.79 30699.35 24198.39 22192.95 28197.75 252
LFMVS97.42 21596.62 23599.81 10399.80 14099.50 13099.16 33699.56 6994.48 286100.00 1100.00 179.35 351100.00 199.89 10297.37 22299.94 128
ACMH96.25 1196.77 24296.62 23597.21 28898.96 27494.43 32399.64 28199.33 22397.43 16096.55 32299.97 18683.52 33699.54 21599.07 18895.13 25597.66 308
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
h-mvs3397.03 23396.53 23798.51 21499.79 14395.90 29299.45 30299.45 10298.21 81100.00 199.78 23497.49 16699.99 9399.72 12774.92 35899.65 220
EU-MVSNet96.63 24996.53 23796.94 29897.59 33096.87 27899.76 26399.47 8096.35 23096.85 31599.78 23492.57 25396.27 35395.33 29591.08 30897.68 302
XVG-ACMP-BASELINE96.60 25196.52 23996.84 30398.41 29693.29 33399.99 19699.32 22597.76 12298.51 25099.29 29381.95 34399.54 21598.40 22095.03 25897.68 302
DU-MVS96.93 23896.49 24098.22 23298.31 30198.41 203100.00 199.37 20296.41 22797.76 28699.65 25592.14 25698.50 30397.98 23986.84 34097.75 252
MVP-Stereo96.51 25496.48 24196.60 30895.65 35494.25 32498.84 35398.16 35295.85 24695.23 33599.04 30692.54 25499.13 24892.98 32099.98 11996.43 352
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
IterMVS96.76 24396.46 24297.63 27199.41 23096.89 27799.99 19699.13 30094.74 27697.59 29799.66 25389.63 28598.28 31595.71 28892.31 29097.72 288
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
VPA-MVSNet97.03 23396.43 24398.82 19998.64 28899.32 14999.38 31099.47 8096.73 20698.91 22298.94 31787.00 31399.40 23799.23 18089.59 32097.76 241
IterMVS-SCA-FT96.72 24696.42 24497.62 27399.40 23596.83 27999.99 19699.14 29694.65 27997.55 29899.72 23989.65 28398.31 31395.62 29292.05 29397.73 282
hse-mvs296.79 24196.38 24598.04 25599.68 16095.54 29699.81 25199.42 13098.21 81100.00 199.80 23197.49 16699.46 23299.72 12773.27 36199.12 230
Patchmtry96.81 24096.37 24698.14 23999.31 24398.55 20098.91 35199.00 33790.45 33897.92 28298.98 31296.94 18898.12 32294.27 30891.53 30197.75 252
test_part196.98 23696.36 24798.85 19899.78 14599.77 10299.63 28399.30 23392.74 32597.05 30899.52 28093.10 24699.02 25398.02 23788.10 33297.76 241
our_test_396.51 25496.35 24896.98 29697.61 32895.05 30199.98 21499.01 33694.68 27796.77 31999.06 30395.87 20898.14 32091.81 32892.37 28997.75 252
JIA-IIPM97.09 22896.34 24999.36 16198.88 27998.59 19999.81 25199.43 12284.81 35699.96 11790.34 36598.55 13899.52 22197.00 26898.28 19199.98 112
ACMH+96.20 1396.49 25796.33 25097.00 29499.06 26093.80 32899.81 25199.31 23097.32 16995.89 33299.97 18682.62 34199.54 21598.34 22494.63 26497.65 313
WR-MVS_H96.73 24496.32 25197.95 26198.26 30597.88 24399.72 27199.43 12295.06 26896.99 31098.68 32993.02 24798.53 30197.43 25788.33 33197.43 332
CP-MVSNet96.73 24496.25 25298.18 23598.21 30898.67 19599.77 26199.32 22595.06 26897.20 30699.65 25590.10 27798.19 31798.06 23688.90 32797.66 308
Anonymous2024052996.93 23896.22 25399.05 18399.79 14397.30 26699.16 33699.47 8088.51 34798.69 237100.00 183.50 337100.00 199.83 11097.02 22799.83 182
v2v48296.70 24796.18 25498.27 22898.04 31498.39 206100.00 199.13 30094.19 29598.58 24499.08 30290.48 27498.67 28795.69 28990.44 31597.75 252
LF4IMVS96.19 27296.18 25496.23 31498.26 30592.09 343100.00 197.89 36297.82 11797.94 28199.87 21582.71 34099.38 23897.41 25893.71 27097.20 339
V4296.65 24896.16 25698.11 24498.17 31198.23 22099.99 19699.09 31493.97 29898.74 23699.05 30591.09 26698.82 27395.46 29489.90 31797.27 338
gg-mvs-nofinetune96.95 23796.10 25799.50 14599.41 23099.36 14799.07 34899.52 7283.69 35899.96 11783.60 372100.00 199.20 24699.68 13899.99 11199.96 120
LTVRE_ROB95.29 1696.32 26796.10 25796.99 29598.55 29193.88 32799.45 30299.28 24394.50 28596.46 32399.52 28084.86 32799.48 22697.26 26395.03 25897.59 323
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
X-MVStestdata97.04 23296.06 25999.98 25100.00 199.94 42100.00 199.75 5298.67 54100.00 166.97 37599.16 85100.00 1100.00 1100.00 1100.00 1
NR-MVSNet96.63 24996.04 26098.38 22198.31 30198.98 18099.22 32999.35 21695.87 24294.43 34499.65 25592.73 25198.40 30996.78 27788.05 33397.75 252
TranMVSNet+NR-MVSNet96.45 25896.01 26197.79 26998.00 31697.62 254100.00 199.35 21695.98 24097.31 30399.64 25990.09 27898.00 33496.89 27286.80 34397.75 252
VDD-MVS96.58 25295.99 26298.34 22499.52 20795.33 29799.18 33099.38 20096.64 21599.77 172100.00 172.51 362100.00 1100.00 196.94 22999.70 213
OurMVSNet-221017-096.14 27895.98 26396.62 30797.49 33693.44 33199.92 23598.16 35295.86 24497.65 29199.95 20285.71 32598.78 27794.93 30294.18 26997.64 316
v114496.51 25495.97 26498.13 24297.98 31798.04 23399.99 19699.08 31693.51 30998.62 24298.98 31290.98 26998.62 29093.79 31590.79 31197.74 275
testgi96.18 27395.93 26596.93 29998.98 27294.20 326100.00 199.07 32097.16 17996.06 32999.86 21784.08 33497.79 34090.38 33997.80 21498.81 233
ppachtmachnet_test96.17 27595.89 26697.02 29397.61 32895.24 29899.99 19699.24 26193.31 31496.71 32099.62 26794.34 23098.07 32989.87 34192.30 29197.75 252
MS-PatchMatch95.66 29095.87 26795.05 32297.80 32289.25 35498.88 35299.30 23396.35 23096.86 31499.01 31081.35 34699.43 23493.30 31899.98 11996.46 351
v14896.29 26895.84 26897.63 27197.74 32396.53 285100.00 199.07 32093.52 30898.01 27999.42 28891.22 26298.60 29396.37 28587.22 33997.75 252
v14419296.40 26295.81 26998.17 23797.89 32098.11 22799.99 19699.06 32793.39 31198.75 23499.09 30190.43 27598.66 28893.10 31990.55 31497.75 252
GBi-Net96.07 28095.80 27096.89 30099.53 20094.87 30399.18 33099.27 25193.71 30198.53 24798.81 32384.23 33198.07 32995.31 29693.60 27197.72 288
test196.07 28095.80 27096.89 30099.53 20094.87 30399.18 33099.27 25193.71 30198.53 24798.81 32384.23 33198.07 32995.31 29693.60 27197.72 288
PS-CasMVS96.34 26695.78 27298.03 25798.18 31098.27 21899.71 27299.32 22594.75 27496.82 31699.65 25586.98 31498.15 31997.74 24788.85 32897.66 308
VPNet96.41 25995.76 27398.33 22598.61 28998.30 21699.48 29999.45 10296.98 19198.87 22599.88 21481.57 34498.93 26299.22 18287.82 33597.76 241
PVSNet_093.57 1996.41 25995.74 27498.41 21999.84 12595.22 299100.00 1100.00 198.08 9397.55 29899.78 23484.40 329100.00 1100.00 181.99 350100.00 1
v896.35 26595.73 27598.21 23498.11 31298.23 22099.94 23399.07 32092.66 32698.29 26399.00 31191.46 26098.77 28094.17 30988.83 32997.62 319
Anonymous2023121196.29 26895.70 27698.07 24599.80 14097.49 25799.15 33899.40 18489.11 34497.75 28999.45 28688.93 29398.98 25898.26 22989.47 32297.73 282
Baseline_NR-MVSNet96.16 27695.70 27697.56 27698.28 30496.79 280100.00 197.86 36391.93 33097.63 29299.47 28592.14 25698.35 31197.13 26486.83 34297.54 326
USDC95.90 28695.70 27696.50 30998.60 29092.56 341100.00 198.30 35097.77 12096.92 31199.94 20681.25 34799.45 23393.54 31794.96 26197.49 329
tfpnnormal96.36 26495.69 27998.37 22298.55 29198.71 19299.69 27699.45 10293.16 31896.69 32199.71 24188.44 30198.99 25794.17 30991.38 30597.41 333
AUN-MVS96.26 27095.67 28098.06 24999.68 16095.60 29599.82 25099.42 13096.78 20299.88 15599.80 23194.84 22499.47 22897.48 25573.29 36099.12 230
pmmvs595.94 28595.61 28196.95 29797.42 33994.66 315100.00 198.08 35693.60 30797.05 30899.43 28787.02 31298.46 30795.76 28792.12 29297.72 288
FMVSNet296.22 27195.60 28298.06 24999.53 20098.33 21399.45 30299.27 25193.71 30198.03 27698.84 32284.23 33198.10 32793.97 31393.40 27597.73 282
VDDNet96.39 26395.55 28398.90 19499.27 24697.45 25899.15 33899.92 3391.28 33399.98 108100.00 173.55 359100.00 199.85 10796.98 22899.24 227
v192192096.16 27695.50 28498.14 23997.88 32197.96 23799.99 19699.07 32093.33 31398.60 24399.24 29589.37 28798.71 28591.28 33090.74 31297.75 252
v1096.14 27895.50 28498.07 24598.19 30997.96 23799.83 24899.07 32092.10 32998.07 27498.94 31791.07 26798.61 29192.41 32689.82 31897.63 317
v119296.18 27395.49 28698.26 23098.01 31598.15 22499.99 19699.08 31693.36 31298.54 24698.97 31589.47 28698.89 26791.15 33290.82 31097.75 252
SixPastTwentyTwo95.71 28995.49 28696.38 31197.42 33993.01 33499.84 24798.23 35194.75 27495.98 33099.97 18685.35 32698.43 30894.71 30393.17 27897.69 300
ET-MVSNet_ETH3D96.41 25995.48 28899.20 17899.81 13099.75 106100.00 199.02 33497.30 17378.33 365100.00 197.73 15797.94 33799.70 13187.41 33799.92 140
PEN-MVS96.01 28395.48 28897.58 27597.74 32397.26 26899.90 23899.29 23894.55 28196.79 31799.55 27787.38 30997.84 33996.92 27187.24 33897.65 313
FMVSNet595.32 29495.43 29094.99 32399.39 23992.99 33699.25 32099.24 26190.45 33897.44 30198.45 33795.78 21094.39 36287.02 35091.88 29797.59 323
v7n96.06 28295.42 29197.99 26097.58 33197.35 26299.86 24599.11 30692.81 32497.91 28399.49 28390.99 26898.92 26392.51 32388.49 33097.70 296
v124095.96 28495.25 29298.07 24597.91 31997.87 24599.96 22499.07 32093.24 31698.64 24198.96 31688.98 29298.61 29189.58 34490.92 30997.75 252
DSMNet-mixed95.18 29795.21 29395.08 32196.03 35190.21 35299.65 28093.64 37492.91 32198.34 25997.40 35090.05 27995.51 35991.02 33397.86 20899.51 224
K. test v395.46 29395.14 29496.40 31097.53 33393.40 33299.99 19699.23 26595.49 26192.70 35199.73 23784.26 33098.12 32293.94 31493.38 27697.68 302
TinyColmap95.50 29295.12 29596.64 30698.69 28693.00 33599.40 30897.75 36496.40 22896.14 32899.87 21579.47 35099.50 22493.62 31694.72 26397.40 334
pm-mvs195.76 28895.01 29698.00 25898.23 30797.45 25899.24 32199.04 33293.13 31995.93 33199.72 23986.28 31898.84 27295.62 29287.92 33497.72 288
DTE-MVSNet95.52 29194.99 29797.08 29097.49 33696.45 286100.00 199.25 25693.82 30096.17 32799.57 27587.81 30597.18 34394.57 30486.26 34597.62 319
PatchT95.90 28694.95 29898.75 20399.03 26298.39 20699.08 34699.32 22585.52 35499.96 11794.99 35997.94 15298.05 33380.20 36398.47 17699.81 191
MVS_030495.11 29894.84 29995.91 31899.60 18291.24 35198.64 35599.88 3694.51 28499.62 18298.31 34369.19 36798.82 27395.22 29998.60 16997.66 308
UniMVSNet_ETH3D95.28 29594.41 30097.89 26698.91 27695.14 30099.13 34099.35 21692.11 32897.17 30799.66 25370.28 36599.36 23997.88 24495.18 25299.16 228
UnsupCasMVSNet_eth94.25 30293.89 30195.34 32097.63 32692.13 34299.73 26999.36 20894.88 27192.78 34898.63 33182.72 33996.53 34994.57 30484.73 34797.36 335
RPMNet95.26 29693.82 30299.56 14199.31 24398.86 18599.13 34099.42 13079.82 36199.96 11795.13 35795.69 21299.98 11777.54 36798.40 18099.84 179
TransMVSNet (Re)94.78 29993.72 30397.93 26498.34 29897.88 24399.23 32797.98 36091.60 33194.55 34199.71 24187.89 30498.36 31089.30 34684.92 34697.56 325
test_040294.35 30193.70 30496.32 31297.92 31893.60 32999.61 28798.85 34588.19 35094.68 34099.48 28480.01 34998.58 29789.39 34595.15 25496.77 347
Patchmatch-RL test93.49 30893.63 30593.05 33891.78 36383.41 36398.21 35996.95 36791.58 33291.05 35397.64 34999.40 5595.83 35794.11 31281.95 35199.91 142
FMVSNet194.45 30093.63 30596.89 30098.87 28194.87 30399.18 33099.27 25190.95 33697.31 30398.81 32372.89 36198.07 32992.61 32192.81 28297.72 288
new_pmnet94.11 30693.47 30796.04 31696.60 34892.82 33799.97 22098.91 34390.21 34095.26 33498.05 34585.89 32398.14 32084.28 35492.01 29497.16 340
N_pmnet91.88 31893.37 30887.40 34597.24 34366.33 37399.90 23891.05 37689.77 34395.65 33398.58 33390.05 27998.11 32485.39 35292.72 28397.75 252
Anonymous2023120693.45 30993.17 30994.30 33195.00 35989.69 35399.98 21498.43 34993.30 31594.50 34398.59 33290.52 27295.73 35877.46 36890.73 31397.48 331
KD-MVS_2432*160094.15 30393.08 31097.35 28199.53 20097.83 24799.63 28399.19 27892.88 32296.29 32497.68 34798.84 12196.70 34689.73 34263.92 36597.53 327
miper_refine_blended94.15 30393.08 31097.35 28199.53 20097.83 24799.63 28399.19 27892.88 32296.29 32497.68 34798.84 12196.70 34689.73 34263.92 36597.53 327
pmmvs693.64 30792.87 31295.94 31797.47 33891.41 34898.92 35099.02 33487.84 35195.01 33799.61 26977.24 35698.77 28094.33 30786.41 34497.63 317
test20.0393.11 31192.85 31393.88 33695.19 35891.83 344100.00 198.87 34493.68 30492.76 34998.88 32189.20 28992.71 36777.88 36689.19 32597.09 341
Anonymous2024052193.29 31092.76 31494.90 32695.64 35591.27 34999.97 22098.82 34687.04 35294.71 33998.19 34483.86 33596.80 34584.04 35592.56 28896.64 349
MVS-HIRNet94.12 30592.73 31598.29 22799.33 24295.95 28999.38 31099.19 27874.54 36498.26 26786.34 36986.07 32099.06 25191.60 32999.87 13499.85 177
EG-PatchMatch MVS92.94 31292.49 31694.29 33295.87 35387.07 35999.07 34898.11 35593.19 31788.98 35798.66 33070.89 36399.08 25092.43 32595.21 25096.72 348
CMPMVSbinary66.12 2290.65 32492.04 31786.46 34696.18 35066.87 37298.03 36099.38 20083.38 35985.49 36299.55 27777.59 35598.80 27694.44 30694.31 26893.72 362
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MIMVSNet191.96 31591.20 31894.23 33394.94 36091.69 34699.34 31499.22 26788.23 34894.18 34598.45 33775.52 35893.41 36679.37 36491.49 30297.60 322
OpenMVS_ROBcopyleft88.34 2091.89 31791.12 31994.19 33495.55 35687.63 35899.26 31998.03 35786.61 35390.65 35696.82 35270.14 36698.78 27786.54 35196.50 23396.15 353
test_method91.04 32391.10 32090.85 34198.34 29877.63 366100.00 198.93 34276.69 36296.25 32698.52 33570.44 36497.98 33589.02 34891.74 29896.92 345
MDA-MVSNet_test_wron92.61 31391.09 32197.19 28996.71 34797.26 268100.00 199.14 29688.61 34667.90 37098.32 34289.03 29096.57 34890.47 33889.59 32097.74 275
YYNet192.44 31490.92 32297.03 29296.20 34997.06 27599.99 19699.14 29688.21 34967.93 36998.43 33988.63 29696.28 35290.64 33489.08 32697.74 275
pmmvs-eth3d91.73 31990.67 32394.92 32591.63 36592.71 33999.90 23898.54 34891.19 33488.08 35895.50 35579.31 35296.13 35490.55 33781.32 35395.91 357
TDRefinement91.93 31690.48 32496.27 31381.60 37292.65 34099.10 34397.61 36593.96 29993.77 34699.85 21980.03 34899.53 22097.82 24670.59 36296.63 350
CL-MVSNet_self_test91.07 32290.35 32593.24 33793.27 36289.16 35599.55 29299.25 25692.34 32795.23 33597.05 35188.86 29593.59 36580.67 36166.95 36496.96 344
KD-MVS_self_test91.16 32190.09 32694.35 33094.44 36191.27 34999.74 26599.08 31690.82 33794.53 34294.91 36086.11 31994.78 36182.67 35768.52 36396.99 343
MDA-MVSNet-bldmvs91.65 32089.94 32796.79 30596.72 34696.70 28299.42 30798.94 33988.89 34566.97 37298.37 34081.43 34595.91 35689.24 34789.46 32397.75 252
new-patchmatchnet90.30 32689.46 32892.84 33990.77 36688.55 35799.83 24898.80 34790.07 34287.86 35995.00 35878.77 35394.30 36384.86 35379.15 35595.68 359
pmmvs390.62 32589.36 32994.40 32990.53 36791.49 347100.00 196.73 36884.21 35793.65 34796.65 35382.56 34294.83 36082.28 35877.62 35796.89 346
UnsupCasMVSNet_bld89.50 32788.00 33093.99 33595.30 35788.86 35698.52 35699.28 24385.50 35587.80 36094.11 36161.63 36996.96 34490.63 33579.26 35496.15 353
PM-MVS88.39 32887.41 33191.31 34091.73 36482.02 36599.79 25596.62 36991.06 33590.71 35595.73 35448.60 37295.96 35590.56 33681.91 35295.97 356
Gipumacopyleft84.73 32983.50 33288.40 34497.50 33482.21 36488.87 36699.05 32965.81 36685.71 36190.49 36453.70 37096.31 35178.64 36591.74 29886.67 366
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
testmvs80.17 33081.95 33374.80 35258.54 37959.58 378100.00 187.14 37976.09 36399.61 183100.00 167.06 36874.19 37598.84 19750.30 36990.64 365
FPMVS77.92 33579.45 33473.34 35476.87 37546.81 38098.24 35899.05 32959.89 36973.55 36698.34 34136.81 37586.55 36980.96 36091.35 30686.65 367
test12379.44 33279.23 33580.05 35080.03 37371.72 368100.00 177.93 38162.52 36794.81 33899.69 24678.21 35474.53 37492.57 32227.33 37493.90 360
PMMVS279.15 33377.28 33684.76 34882.34 37172.66 36799.70 27495.11 37371.68 36584.78 36390.87 36332.05 37689.99 36875.53 36963.45 36791.64 363
LCM-MVSNet79.01 33476.93 33785.27 34778.28 37468.01 37196.57 36398.03 35755.10 37082.03 36493.27 36231.99 37793.95 36482.72 35674.37 35993.84 361
tmp_tt75.80 33674.26 33880.43 34952.91 38153.67 37987.42 36897.98 36061.80 36867.04 371100.00 176.43 35796.40 35096.47 28128.26 37391.23 364
EGC-MVSNET79.46 33174.04 33995.72 31996.00 35292.73 33899.09 34599.04 3325.08 37616.72 37698.71 32773.03 36098.74 28482.05 35996.64 23295.69 358
E-PMN70.72 33770.06 34072.69 35583.92 37065.48 37599.95 22992.72 37549.88 37272.30 36786.26 37047.17 37377.43 37253.83 37344.49 37075.17 372
EMVS69.88 33869.09 34172.24 35684.70 36965.82 37499.96 22487.08 38049.82 37371.51 36884.74 37149.30 37175.32 37350.97 37443.71 37175.59 371
PMVScopyleft60.66 2365.98 34165.05 34268.75 35755.06 38038.40 38188.19 36796.98 36648.30 37444.82 37588.52 36712.22 38086.49 37067.58 37083.79 34981.35 370
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVEpermissive68.59 2167.22 33964.68 34374.84 35174.67 37762.32 37795.84 36490.87 37750.98 37158.72 37381.05 37312.20 38178.95 37161.06 37256.75 36883.24 369
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
ANet_high66.05 34063.44 34473.88 35361.14 37863.45 37695.68 36587.18 37879.93 36047.35 37480.68 37422.35 37872.33 37661.24 37135.42 37285.88 368
cdsmvs_eth3d_5k24.41 34332.55 3450.00 3590.00 3820.00 3830.00 37099.39 1970.00 3770.00 378100.00 193.55 2380.00 3780.00 3760.00 3760.00 374
wuyk23d28.28 34229.73 34623.92 35875.89 37632.61 38266.50 36912.88 38216.09 37514.59 37716.59 37612.35 37932.36 37739.36 37513.36 3756.79 373
ab-mvs-re8.33 34411.11 3470.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 378100.00 10.00 3820.00 3780.00 3760.00 3760.00 374
pcd_1.5k_mvsjas8.24 34510.99 3480.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.14 37898.75 1280.00 3780.00 3760.00 3760.00 374
test_blank0.07 3460.09 3490.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.79 3770.00 3820.00 3780.00 3760.00 3760.00 374
uanet_test0.01 3470.02 3500.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.14 3780.00 3820.00 3780.00 3760.00 3760.00 374
sosnet-low-res0.01 3470.02 3500.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.14 3780.00 3820.00 3780.00 3760.00 3760.00 374
sosnet0.01 3470.02 3500.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.14 3780.00 3820.00 3780.00 3760.00 3760.00 374
uncertanet0.01 3470.02 3500.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.14 3780.00 3820.00 3780.00 3760.00 3760.00 374
Regformer0.01 3470.02 3500.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.14 3780.00 3820.00 3780.00 3760.00 3760.00 374
uanet0.01 3470.02 3500.00 3590.00 3820.00 3830.00 3700.00 3830.00 3770.00 3780.14 3780.00 3820.00 3780.00 3760.00 3760.00 374
FOURS1100.00 199.97 22100.00 199.42 13098.52 61100.00 1
MSC_two_6792asdad100.00 1100.00 1100.00 199.42 130100.00 1100.00 1100.00 1100.00 1
PC_three_145298.80 45100.00 1100.00 199.54 23100.00 1100.00 1100.00 1100.00 1
No_MVS100.00 1100.00 1100.00 199.42 130100.00 1100.00 1100.00 1100.00 1
test_one_0601100.00 199.99 599.42 13098.72 51100.00 1100.00 199.60 14
eth-test20.00 382
eth-test0.00 382
ZD-MVS100.00 199.98 1799.80 4297.31 171100.00 1100.00 199.32 6199.99 93100.00 1100.00 1
IU-MVS100.00 199.99 599.42 13099.12 6100.00 1100.00 1100.00 1100.00 1
OPU-MVS100.00 1100.00 1100.00 1100.00 1100.00 199.54 23100.00 1100.00 1100.00 1100.00 1
test_241102_TWO99.42 13099.03 19100.00 1100.00 199.56 20100.00 1100.00 1100.00 1100.00 1
test_241102_ONE100.00 199.99 599.42 13099.03 19100.00 1100.00 199.50 36100.00 1
save fliter99.99 5999.93 47100.00 199.42 13098.93 32
test_0728_THIRD98.79 47100.00 1100.00 199.61 13100.00 1100.00 1100.00 1100.00 1
test_0728_SECOND100.00 199.99 5999.99 5100.00 199.42 130100.00 1100.00 1100.00 1100.00 1
test0726100.00 199.99 5100.00 199.42 13099.04 14100.00 1100.00 199.53 26
GSMVS99.91 142
test_part2100.00 199.99 5100.00 1
sam_mvs199.29 7099.91 142
sam_mvs99.33 58
ambc88.45 34386.84 36870.76 37097.79 36298.02 35990.91 35495.14 35638.69 37498.51 30294.97 30184.23 34896.09 355
MTGPAbinary99.42 130
test_post199.32 31588.24 36899.33 5899.59 19998.31 225
test_post89.05 36699.49 3899.59 199
patchmatchnet-post97.79 34699.41 5499.54 215
GG-mvs-BLEND99.59 13399.54 19799.49 13399.17 33599.52 7299.96 11799.68 250100.00 199.33 24299.71 12999.99 11199.96 120
MTMP100.00 199.18 284
gm-plane-assit99.52 20797.26 26895.86 244100.00 199.43 23498.76 202
test9_res100.00 1100.00 1100.00 1
TEST9100.00 199.95 34100.00 199.42 13097.65 132100.00 1100.00 199.53 2699.97 122
test_8100.00 199.91 57100.00 199.42 13097.70 127100.00 1100.00 199.51 3199.98 117
agg_prior2100.00 1100.00 1100.00 1
agg_prior100.00 199.88 8399.42 130100.00 199.97 122
TestCases98.99 18899.93 11397.35 26299.40 18497.08 18699.09 21099.98 17893.37 23999.95 14296.94 26999.84 13599.68 215
test_prior499.93 47100.00 1
test_prior2100.00 198.82 43100.00 1100.00 199.47 42100.00 1100.00 1
test_prior99.90 85100.00 199.75 10699.73 5799.97 122100.00 1
旧先验2100.00 198.11 92100.00 1100.00 199.67 140
新几何2100.00 1
新几何199.99 12100.00 199.96 2599.81 4197.89 111100.00 1100.00 199.20 82100.00 197.91 243100.00 1100.00 1
旧先验199.99 5999.88 8399.82 39100.00 199.27 73100.00 1100.00 1
无先验100.00 199.80 4297.98 101100.00 199.33 172100.00 1
原ACMM2100.00 1
原ACMM199.93 79100.00 199.80 10099.66 6598.18 83100.00 1100.00 199.43 50100.00 199.50 162100.00 1100.00 1
test22299.99 5999.90 65100.00 199.69 6497.66 131100.00 1100.00 199.30 69100.00 1100.00 1
testdata2100.00 197.36 260
segment_acmp99.55 22
testdata99.66 12599.99 5998.97 18299.73 5797.96 107100.00 1100.00 199.42 52100.00 199.28 177100.00 1100.00 1
testdata1100.00 198.77 50
test1299.95 6199.99 5999.89 7399.42 130100.00 199.24 7699.97 122100.00 1100.00 1
plane_prior799.00 26894.78 313
plane_prior699.06 26094.80 30988.58 299
plane_prior599.40 18499.55 21299.79 11695.57 23897.76 241
plane_prior499.97 186
plane_prior394.79 31299.03 1999.08 212
plane_prior2100.00 199.00 25
plane_prior199.02 263
plane_prior94.80 309100.00 199.03 1995.58 234
n20.00 383
nn0.00 383
door-mid96.32 371
lessismore_v096.05 31597.55 33291.80 34599.22 26791.87 35299.91 21183.50 33798.68 28692.48 32490.42 31697.68 302
LGP-MVS_train97.28 28598.85 28394.60 31899.37 20297.35 16598.85 22699.98 17886.66 31599.56 20799.55 15595.26 24697.70 296
test1199.42 130
door96.13 372
HQP5-MVS94.82 306
HQP-NCC99.07 256100.00 199.04 1499.17 203
ACMP_Plane99.07 256100.00 199.04 1499.17 203
BP-MVS99.79 116
HQP4-MVS99.17 20399.57 20397.77 239
HQP3-MVS99.40 18495.58 234
HQP2-MVS88.61 297
NP-MVS99.07 25694.81 30899.97 186
MDTV_nov1_ep13_2view99.24 15899.56 29196.31 23399.96 11798.86 11998.92 19399.89 156
ACMMP++_ref94.58 266
ACMMP++95.17 253
Test By Simon99.10 90
ITE_SJBPF96.84 30398.96 27493.49 33098.12 35498.12 9198.35 25899.97 18684.45 32899.56 20795.63 29195.25 24897.49 329
DeepMVS_CXcopyleft89.98 34298.90 27771.46 36999.18 28497.61 13896.92 31199.83 22286.07 32099.83 17196.02 28697.65 22098.65 235