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 bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort by
patch_mono-298.36 4898.87 396.82 20699.53 3990.68 31198.64 14799.29 897.88 599.19 2999.52 396.80 1599.97 199.11 199.86 199.82 10
dcpmvs_298.08 6198.59 1096.56 23099.57 3590.34 31799.15 4198.38 19696.82 6499.29 2099.49 795.78 4999.57 13998.94 299.86 199.77 23
test_0728_THIRD97.32 3399.45 1199.46 1397.88 199.94 498.47 2299.86 199.85 4
CP-MVS98.57 2798.36 2799.19 4699.66 2897.86 7399.34 1698.87 5895.96 9798.60 7599.13 7396.05 3699.94 497.77 5999.86 199.77 23
CHOSEN 280x42097.18 11197.18 9497.20 18098.81 13893.27 26695.78 34499.15 1995.25 13296.79 16798.11 19192.29 12299.07 19898.56 1399.85 599.25 136
SD-MVS98.64 1598.68 798.53 9499.33 6998.36 4798.90 8898.85 6897.28 3699.72 399.39 1896.63 1997.60 33298.17 3699.85 599.64 76
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
APDe-MVS99.02 498.84 499.55 999.57 3598.96 1699.39 1098.93 3997.38 3099.41 1399.54 196.66 1799.84 5798.86 499.85 599.87 1
HPM-MVS_fast98.38 4698.13 5199.12 6099.75 497.86 7399.44 998.82 7494.46 17198.94 4599.20 5995.16 7699.74 11197.58 7499.85 599.77 23
SteuartSystems-ACMMP98.90 698.75 699.36 2499.22 9898.43 3899.10 5298.87 5897.38 3099.35 1799.40 1797.78 599.87 4897.77 5999.85 599.78 16
Skip Steuart: Steuart Systems R&D Blog.
DPE-MVScopyleft98.92 598.67 899.65 299.58 3499.20 998.42 18198.91 4597.58 1599.54 899.46 1397.10 1299.94 497.64 7099.84 1099.83 7
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
HPM-MVScopyleft98.36 4898.10 5499.13 5799.74 897.82 7799.53 698.80 9194.63 16498.61 7498.97 9795.13 7799.77 10597.65 6999.83 1199.79 13
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
SED-MVS99.09 198.91 199.63 499.71 2199.24 599.02 6798.87 5897.65 1099.73 199.48 897.53 799.94 498.43 2699.81 1299.70 54
IU-MVS99.71 2199.23 798.64 14195.28 13099.63 498.35 3299.81 1299.83 7
ZNCC-MVS98.49 3798.20 4999.35 2599.73 1298.39 3999.19 3798.86 6495.77 10398.31 9299.10 7895.46 5799.93 1997.57 7799.81 1299.74 37
DVP-MVScopyleft99.03 398.83 599.63 499.72 1399.25 298.97 7798.58 15397.62 1299.45 1199.46 1397.42 999.94 498.47 2299.81 1299.69 57
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_0728_SECOND99.71 199.72 1399.35 198.97 7798.88 5199.94 498.47 2299.81 1299.84 6
SMA-MVScopyleft98.58 2498.25 4399.56 899.51 4399.04 1598.95 8198.80 9193.67 20999.37 1699.52 396.52 2199.89 3998.06 4199.81 1299.76 30
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
mPP-MVS98.51 3698.26 4299.25 4299.75 498.04 6599.28 2298.81 8096.24 8698.35 8999.23 5295.46 5799.94 497.42 8499.81 1299.77 23
MSC_two_6792asdad99.62 699.17 10399.08 1198.63 14399.94 498.53 1499.80 1999.86 2
No_MVS99.62 699.17 10399.08 1198.63 14399.94 498.53 1499.80 1999.86 2
test_241102_TWO98.87 5897.65 1099.53 999.48 897.34 1199.94 498.43 2699.80 1999.83 7
MP-MVS-pluss98.31 5697.92 6399.49 1299.72 1398.88 1898.43 17998.78 9994.10 17997.69 12999.42 1695.25 7299.92 2598.09 4099.80 1999.67 67
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
zzz-MVS98.55 3198.25 4399.46 1599.76 298.64 2798.55 16398.74 10897.27 4098.02 10499.39 1894.81 8499.96 297.91 4899.79 2399.77 23
MTAPA98.58 2498.29 4099.46 1599.76 298.64 2798.90 8898.74 10897.27 4098.02 10499.39 1894.81 8499.96 297.91 4899.79 2399.77 23
region2R98.61 1898.38 2599.29 3499.74 898.16 6099.23 2798.93 3996.15 8998.94 4599.17 6395.91 4399.94 497.55 7899.79 2399.78 16
ACMMPR98.59 2198.36 2799.29 3499.74 898.15 6199.23 2798.95 3596.10 9498.93 4999.19 6295.70 5099.94 497.62 7199.79 2399.78 16
HFP-MVS98.63 1798.40 2399.32 3199.72 1398.29 5199.23 2798.96 3396.10 9498.94 4599.17 6396.06 3499.92 2597.62 7199.78 2799.75 32
#test#98.54 3398.27 4199.32 3199.72 1398.29 5198.98 7698.96 3395.65 11098.94 4599.17 6396.06 3499.92 2597.21 9199.78 2799.75 32
MP-MVScopyleft98.33 5498.01 5899.28 3899.75 498.18 5899.22 3198.79 9696.13 9197.92 11799.23 5294.54 9099.94 496.74 12299.78 2799.73 42
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
PGM-MVS98.49 3798.23 4799.27 4199.72 1398.08 6498.99 7399.49 595.43 12099.03 3999.32 3795.56 5399.94 496.80 11799.77 3099.78 16
APD-MVScopyleft98.35 5098.00 5999.42 1899.51 4398.72 2198.80 11498.82 7494.52 16899.23 2499.25 5095.54 5599.80 8496.52 12899.77 3099.74 37
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
114514_t96.93 12096.27 13398.92 7299.50 4597.63 8398.85 10098.90 4684.80 35397.77 12299.11 7692.84 11499.66 12794.85 18099.77 3099.47 107
CPTT-MVS97.72 7797.32 8998.92 7299.64 3097.10 10599.12 4898.81 8092.34 25898.09 9799.08 8693.01 11399.92 2596.06 14399.77 3099.75 32
DeepPCF-MVS96.37 297.93 6998.48 2296.30 25499.00 12189.54 32797.43 27898.87 5898.16 299.26 2299.38 2596.12 3299.64 13098.30 3499.77 3099.72 46
DeepC-MVS_fast96.70 198.55 3198.34 3399.18 5099.25 9098.04 6598.50 17098.78 9997.72 798.92 5199.28 4495.27 7099.82 6897.55 7899.77 3099.69 57
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
Regformer-398.59 2198.50 1798.86 7699.43 6197.05 10698.40 18398.68 12597.43 2699.06 3799.31 3995.80 4799.77 10598.62 1099.76 3699.78 16
Regformer-498.64 1598.53 1498.99 6699.43 6197.37 9298.40 18398.79 9697.46 2399.09 3699.31 3995.86 4699.80 8498.64 899.76 3699.79 13
DELS-MVS98.40 4598.20 4998.99 6699.00 12197.66 8197.75 26098.89 4897.71 998.33 9098.97 9794.97 8199.88 4798.42 2899.76 3699.42 117
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
MVS_111021_HR98.47 4098.34 3398.88 7599.22 9897.32 9397.91 24499.58 397.20 4498.33 9099.00 9595.99 3999.64 13098.05 4399.76 3699.69 57
PHI-MVS98.34 5298.06 5599.18 5099.15 10998.12 6399.04 6099.09 2193.32 22298.83 5799.10 7896.54 2099.83 6097.70 6799.76 3699.59 87
DeepC-MVS95.98 397.88 7097.58 7298.77 7899.25 9096.93 11198.83 10498.75 10696.96 5896.89 16199.50 590.46 16699.87 4897.84 5699.76 3699.52 94
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMMP_NAP98.61 1898.30 3999.55 999.62 3298.95 1798.82 10798.81 8095.80 10299.16 3299.47 1095.37 6399.92 2597.89 5199.75 4299.79 13
MVS_111021_LR98.34 5298.23 4798.67 8399.27 8796.90 11397.95 24099.58 397.14 4998.44 8399.01 9495.03 8099.62 13597.91 4899.75 4299.50 100
3Dnovator94.51 597.46 9296.93 10599.07 6397.78 21497.64 8299.35 1599.06 2397.02 5593.75 26099.16 6889.25 18799.92 2597.22 9099.75 4299.64 76
XVS98.70 1098.49 2099.34 2699.70 2498.35 4899.29 2098.88 5197.40 2798.46 7999.20 5995.90 4499.89 3997.85 5499.74 4599.78 16
X-MVStestdata94.06 27392.30 29399.34 2699.70 2498.35 4899.29 2098.88 5197.40 2798.46 7943.50 37395.90 4499.89 3997.85 5499.74 4599.78 16
OPU-MVS99.37 2399.24 9699.05 1499.02 6799.16 6897.81 399.37 16597.24 8999.73 4799.70 54
xxxxxxxxxxxxxcwj98.70 1098.50 1799.30 3399.46 5598.38 4098.21 20898.52 16497.95 399.32 1899.39 1896.22 2499.84 5797.72 6299.73 4799.67 67
SF-MVS98.59 2198.32 3899.41 1999.54 3898.71 2299.04 6098.81 8095.12 13999.32 1899.39 1896.22 2499.84 5797.72 6299.73 4799.67 67
ETH3D-3000-0.198.35 5098.00 5999.38 2099.47 5298.68 2598.67 14298.84 6994.66 16399.11 3499.25 5095.46 5799.81 7596.80 11799.73 4799.63 79
TSAR-MVS + MP.98.78 798.62 999.24 4399.69 2698.28 5399.14 4398.66 13696.84 6299.56 699.31 3996.34 2399.70 11998.32 3399.73 4799.73 42
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
Regformer-198.66 1398.51 1699.12 6099.35 6497.81 7998.37 18598.76 10397.49 1999.20 2699.21 5596.08 3399.79 9698.42 2899.73 4799.75 32
Regformer-298.69 1298.52 1599.19 4699.35 6498.01 6798.37 18598.81 8097.48 2099.21 2599.21 5596.13 3199.80 8498.40 3099.73 4799.75 32
DVP-MVS++99.08 298.89 299.64 399.17 10399.23 799.69 198.88 5197.32 3399.53 999.47 1097.81 399.94 498.47 2299.72 5499.74 37
PC_three_145295.08 14499.60 599.16 6897.86 298.47 26597.52 8199.72 5499.74 37
9.1498.06 5599.47 5298.71 13298.82 7494.36 17399.16 3299.29 4396.05 3699.81 7597.00 9699.71 56
MSLP-MVS++98.56 2998.57 1198.55 9099.26 8996.80 11698.71 13299.05 2597.28 3698.84 5599.28 4496.47 2299.40 16398.52 2099.70 5799.47 107
ETH3 D test640097.59 8697.01 10199.34 2699.40 6398.56 3098.20 21198.81 8091.63 28198.44 8398.85 11593.98 10499.82 6894.11 20899.69 5899.64 76
CDPH-MVS97.94 6897.49 8099.28 3899.47 5298.44 3697.91 24498.67 13392.57 25098.77 6098.85 11595.93 4299.72 11395.56 16399.69 5899.68 63
HPM-MVS++copyleft98.58 2498.25 4399.55 999.50 4599.08 1198.72 13198.66 13697.51 1898.15 9398.83 11995.70 5099.92 2597.53 8099.67 6099.66 71
APD-MVS_3200maxsize98.53 3598.33 3799.15 5699.50 4597.92 7299.15 4198.81 8096.24 8699.20 2699.37 2695.30 6899.80 8497.73 6199.67 6099.72 46
abl_698.30 5798.03 5799.13 5799.56 3797.76 8099.13 4698.82 7496.14 9099.26 2299.37 2693.33 10999.93 1996.96 10099.67 6099.69 57
CNVR-MVS98.78 798.56 1299.45 1799.32 7298.87 1998.47 17398.81 8097.72 798.76 6199.16 6897.05 1399.78 10098.06 4199.66 6399.69 57
SR-MVS-dyc-post98.54 3398.35 2999.13 5799.49 4997.86 7399.11 4998.80 9196.49 7899.17 3099.35 3295.34 6599.82 6897.72 6299.65 6499.71 50
RE-MVS-def98.34 3399.49 4997.86 7399.11 4998.80 9196.49 7899.17 3099.35 3295.29 6997.72 6299.65 6499.71 50
CANet98.05 6297.76 6798.90 7498.73 14297.27 9698.35 18898.78 9997.37 3297.72 12798.96 10391.53 14599.92 2598.79 699.65 6499.51 98
EI-MVSNet-Vis-set98.47 4098.39 2498.69 8199.46 5596.49 13198.30 19998.69 12297.21 4398.84 5599.36 3095.41 6099.78 10098.62 1099.65 6499.80 12
test117298.56 2998.35 2999.16 5399.53 3997.94 7199.09 5398.83 7296.52 7799.05 3899.34 3595.34 6599.82 6897.86 5399.64 6899.73 42
CSCG97.85 7297.74 6898.20 11999.67 2795.16 18999.22 3199.32 793.04 23397.02 15498.92 10995.36 6499.91 3497.43 8399.64 6899.52 94
SR-MVS98.57 2798.35 2999.24 4399.53 3998.18 5899.09 5398.82 7496.58 7499.10 3599.32 3795.39 6199.82 6897.70 6799.63 7099.72 46
GST-MVS98.43 4298.12 5299.34 2699.72 1398.38 4099.09 5398.82 7495.71 10698.73 6499.06 8895.27 7099.93 1997.07 9599.63 7099.72 46
QAPM96.29 14395.40 16398.96 7097.85 21197.60 8599.23 2798.93 3989.76 32393.11 28399.02 9089.11 19299.93 1991.99 26999.62 7299.34 121
MCST-MVS98.65 1498.37 2699.48 1399.60 3398.87 1998.41 18298.68 12597.04 5498.52 7898.80 12296.78 1699.83 6097.93 4799.61 7399.74 37
test_prior398.22 5997.90 6499.19 4699.31 7498.22 5597.80 25698.84 6996.12 9297.89 11998.69 13295.96 4099.70 11996.89 10699.60 7499.65 73
test_prior297.80 25696.12 9297.89 11998.69 13295.96 4096.89 10699.60 74
jason97.32 10497.08 9898.06 13197.45 24395.59 17297.87 25097.91 27094.79 15598.55 7798.83 11991.12 15399.23 17597.58 7499.60 7499.34 121
jason: jason.
MSP-MVS98.74 998.55 1399.29 3499.75 498.23 5499.26 2498.88 5197.52 1799.41 1398.78 12496.00 3899.79 9697.79 5899.59 7799.85 4
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
MVSFormer97.57 8897.49 8097.84 14198.07 19795.76 16999.47 798.40 19194.98 14798.79 5898.83 11992.34 12098.41 27896.91 10299.59 7799.34 121
lupinMVS97.44 9697.22 9398.12 12798.07 19795.76 16997.68 26497.76 27594.50 16998.79 5898.61 14092.34 12099.30 16997.58 7499.59 7799.31 127
ZD-MVS99.46 5598.70 2398.79 9693.21 22698.67 6798.97 9795.70 5099.83 6096.07 14099.58 80
test9_res96.39 13499.57 8199.69 57
train_agg97.97 6397.52 7799.33 3099.31 7498.50 3497.92 24298.73 11292.98 23597.74 12598.68 13496.20 2799.80 8496.59 12499.57 8199.68 63
agg_prior295.87 15099.57 8199.68 63
3Dnovator+94.38 697.43 9796.78 11299.38 2097.83 21298.52 3299.37 1298.71 11897.09 5392.99 28699.13 7389.36 18499.89 3996.97 9899.57 8199.71 50
LS3D97.16 11296.66 12198.68 8298.53 16197.19 10398.93 8598.90 4692.83 24395.99 19599.37 2692.12 12999.87 4893.67 22199.57 8198.97 170
CS-MVS-test98.49 3798.50 1798.46 10199.20 10197.05 10699.64 498.50 17297.45 2598.88 5399.14 7295.25 7299.15 18498.83 599.56 8699.20 139
agg_prior197.95 6797.51 7999.28 3899.30 7998.38 4097.81 25598.72 11493.16 22997.57 13898.66 13796.14 3099.81 7596.63 12399.56 8699.66 71
test1299.18 5099.16 10798.19 5798.53 16298.07 9895.13 7799.72 11399.56 8699.63 79
CHOSEN 1792x268897.12 11496.80 10998.08 12999.30 7994.56 22298.05 23199.71 193.57 21397.09 14898.91 11088.17 21699.89 3996.87 11299.56 8699.81 11
ETH3D cwj APD-0.1697.96 6497.52 7799.29 3499.05 11498.52 3298.33 19198.68 12593.18 22798.68 6699.13 7394.62 8899.83 6096.45 13099.55 9099.52 94
EI-MVSNet-UG-set98.41 4398.34 3398.61 8699.45 5996.32 14098.28 20298.68 12597.17 4698.74 6299.37 2695.25 7299.79 9698.57 1299.54 9199.73 42
testtj98.33 5497.95 6199.47 1499.49 4998.70 2398.83 10498.86 6495.48 11798.91 5299.17 6395.48 5699.93 1995.80 15399.53 9299.76 30
test22299.23 9797.17 10497.40 27998.66 13688.68 33498.05 9998.96 10394.14 10099.53 9299.61 82
MG-MVS97.81 7397.60 7198.44 10399.12 11195.97 15597.75 26098.78 9996.89 6198.46 7999.22 5493.90 10599.68 12594.81 18399.52 9499.67 67
DROMVSNet98.21 6098.11 5398.49 9898.34 17597.26 10099.61 598.43 18696.78 6598.87 5498.84 11793.72 10699.01 20898.91 399.50 9599.19 143
UGNet96.78 12696.30 13298.19 12198.24 18295.89 16598.88 9598.93 3997.39 2996.81 16597.84 21682.60 30499.90 3796.53 12799.49 9698.79 181
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
API-MVS97.41 9997.25 9197.91 13898.70 14796.80 11698.82 10798.69 12294.53 16698.11 9598.28 17794.50 9499.57 13994.12 20799.49 9697.37 233
CS-MVS98.41 4398.49 2098.18 12299.08 11396.33 13999.67 398.49 17797.17 4698.93 4999.10 7895.79 4899.12 18898.67 799.48 9899.10 157
新几何199.16 5399.34 6698.01 6798.69 12290.06 31898.13 9498.95 10594.60 8999.89 3991.97 27099.47 9999.59 87
旧先验199.29 8297.48 8898.70 12199.09 8495.56 5399.47 9999.61 82
OpenMVScopyleft93.04 1395.83 16495.00 18698.32 11197.18 26297.32 9399.21 3498.97 3189.96 31991.14 32099.05 8986.64 24899.92 2593.38 22799.47 9997.73 223
原ACMM198.65 8499.32 7296.62 12298.67 13393.27 22597.81 12198.97 9795.18 7599.83 6093.84 21599.46 10299.50 100
112197.37 10296.77 11699.16 5399.34 6697.99 7098.19 21598.68 12590.14 31798.01 10898.97 9794.80 8699.87 4893.36 22999.46 10299.61 82
testdata98.26 11599.20 10195.36 18298.68 12591.89 27398.60 7599.10 7894.44 9699.82 6894.27 20299.44 10499.58 91
DP-MVS Recon97.86 7197.46 8299.06 6499.53 3998.35 4898.33 19198.89 4892.62 24798.05 9998.94 10695.34 6599.65 12896.04 14499.42 10599.19 143
NCCC98.61 1898.35 2999.38 2099.28 8698.61 2998.45 17498.76 10397.82 698.45 8298.93 10796.65 1899.83 6097.38 8699.41 10699.71 50
TAPA-MVS93.98 795.35 19094.56 20597.74 15199.13 11094.83 20898.33 19198.64 14186.62 34296.29 18798.61 14094.00 10399.29 17080.00 35799.41 10699.09 158
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
PVSNet_Blended97.38 10197.12 9598.14 12399.25 9095.35 18497.28 29299.26 993.13 23097.94 11498.21 18492.74 11699.81 7596.88 10999.40 10899.27 134
MS-PatchMatch93.84 27793.63 26594.46 31896.18 31189.45 32897.76 25998.27 21592.23 26492.13 31097.49 24579.50 32598.69 24289.75 30499.38 10995.25 341
CANet_DTU96.96 11996.55 12498.21 11898.17 19296.07 14997.98 23898.21 22297.24 4297.13 14798.93 10786.88 24599.91 3495.00 17899.37 11098.66 191
DPM-MVS97.55 9096.99 10399.23 4599.04 11698.55 3197.17 30098.35 20094.85 15497.93 11698.58 14595.07 7999.71 11892.60 25099.34 11199.43 115
MVP-Stereo94.28 25893.92 24395.35 28994.95 34292.60 27797.97 23997.65 28091.61 28290.68 32597.09 27286.32 25598.42 27189.70 30699.34 11195.02 348
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
CNLPA97.45 9597.03 10098.73 7999.05 11497.44 9198.07 22998.53 16295.32 12896.80 16698.53 14993.32 11099.72 11394.31 20199.31 11399.02 165
AdaColmapbinary97.15 11396.70 11798.48 9999.16 10796.69 12198.01 23598.89 4894.44 17296.83 16298.68 13490.69 16399.76 10794.36 19799.29 11498.98 169
Vis-MVSNetpermissive97.42 9897.11 9698.34 11098.66 15196.23 14399.22 3199.00 2896.63 7398.04 10199.21 5588.05 22199.35 16696.01 14699.21 11599.45 113
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
EIA-MVS97.75 7597.58 7298.27 11398.38 16896.44 13399.01 6998.60 14695.88 9997.26 14397.53 24394.97 8199.33 16897.38 8699.20 11699.05 163
EPNet97.28 10596.87 10898.51 9594.98 34196.14 14798.90 8897.02 32198.28 195.99 19599.11 7691.36 14799.89 3996.98 9799.19 11799.50 100
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
PS-MVSNAJ97.73 7697.77 6697.62 16298.68 15095.58 17397.34 28798.51 16797.29 3598.66 7197.88 21194.51 9199.90 3797.87 5299.17 11897.39 231
PVSNet_Blended_VisFu97.70 7897.46 8298.44 10399.27 8795.91 16398.63 14999.16 1894.48 17097.67 13098.88 11292.80 11599.91 3497.11 9399.12 11999.50 100
BH-RMVSNet95.92 16095.32 17297.69 15698.32 17994.64 21498.19 21597.45 30094.56 16596.03 19398.61 14085.02 27499.12 18890.68 29099.06 12099.30 130
test250694.44 24893.91 24596.04 26399.02 11888.99 33799.06 5779.47 38096.96 5898.36 8799.26 4777.21 34399.52 15196.78 11999.04 12199.59 87
test111195.94 15895.78 14896.41 24698.99 12490.12 31999.04 6092.45 36996.99 5798.03 10299.27 4681.40 31199.48 15796.87 11299.04 12199.63 79
ECVR-MVScopyleft95.95 15695.71 15396.65 21799.02 11890.86 30599.03 6391.80 37096.96 5898.10 9699.26 4781.31 31299.51 15296.90 10599.04 12199.59 87
PVSNet91.96 1896.35 14196.15 13796.96 19699.17 10392.05 28396.08 33798.68 12593.69 20597.75 12497.80 22288.86 20199.69 12494.26 20399.01 12499.15 150
PatchMatch-RL96.59 13296.03 14298.27 11399.31 7496.51 13097.91 24499.06 2393.72 20196.92 15998.06 19488.50 21099.65 12891.77 27499.00 12598.66 191
PCF-MVS93.45 1194.68 22893.43 27398.42 10698.62 15596.77 11895.48 34998.20 22484.63 35493.34 27498.32 17488.55 20899.81 7584.80 34498.96 12698.68 188
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
MAR-MVS96.91 12196.40 12998.45 10298.69 14996.90 11398.66 14598.68 12592.40 25797.07 15197.96 20391.54 14499.75 10993.68 21998.92 12798.69 187
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
F-COLMAP97.09 11696.80 10997.97 13599.45 5994.95 20398.55 16398.62 14593.02 23496.17 19098.58 14594.01 10299.81 7593.95 21298.90 12899.14 152
ETV-MVS97.96 6497.81 6598.40 10798.42 16697.27 9698.73 12798.55 15896.84 6298.38 8697.44 25095.39 6199.35 16697.62 7198.89 12998.58 197
DP-MVS96.59 13295.93 14498.57 8899.34 6696.19 14698.70 13698.39 19389.45 32894.52 22099.35 3291.85 13599.85 5492.89 24698.88 13099.68 63
OMC-MVS97.55 9097.34 8898.20 11999.33 6995.92 16298.28 20298.59 14895.52 11697.97 11199.10 7893.28 11199.49 15395.09 17698.88 13099.19 143
PAPM_NR97.46 9297.11 9698.50 9699.50 4596.41 13598.63 14998.60 14695.18 13597.06 15298.06 19494.26 9999.57 13993.80 21798.87 13299.52 94
ACMMPcopyleft98.23 5897.95 6199.09 6299.74 897.62 8499.03 6399.41 695.98 9697.60 13799.36 3094.45 9599.93 1997.14 9298.85 13399.70 54
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
UA-Net97.96 6497.62 7098.98 6898.86 13397.47 8998.89 9299.08 2296.67 7198.72 6599.54 193.15 11299.81 7594.87 17998.83 13499.65 73
MSDG95.93 15995.30 17497.83 14298.90 12995.36 18296.83 32498.37 19791.32 29294.43 22798.73 13090.27 17099.60 13690.05 29998.82 13598.52 198
EPNet_dtu95.21 19894.95 19095.99 26596.17 31290.45 31598.16 22197.27 31096.77 6693.14 28298.33 17390.34 16898.42 27185.57 33798.81 13699.09 158
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
PLCcopyleft95.07 497.20 11096.78 11298.44 10399.29 8296.31 14298.14 22298.76 10392.41 25696.39 18598.31 17594.92 8399.78 10094.06 21098.77 13799.23 137
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
xiu_mvs_v1_base_debu97.60 8397.56 7497.72 15298.35 17095.98 15097.86 25198.51 16797.13 5099.01 4198.40 16291.56 14199.80 8498.53 1498.68 13897.37 233
xiu_mvs_v1_base97.60 8397.56 7497.72 15298.35 17095.98 15097.86 25198.51 16797.13 5099.01 4198.40 16291.56 14199.80 8498.53 1498.68 13897.37 233
xiu_mvs_v1_base_debi97.60 8397.56 7497.72 15298.35 17095.98 15097.86 25198.51 16797.13 5099.01 4198.40 16291.56 14199.80 8498.53 1498.68 13897.37 233
MVS-HIRNet89.46 32388.40 32292.64 33597.58 22882.15 36594.16 36093.05 36875.73 36490.90 32282.52 36679.42 32698.33 28683.53 34998.68 13897.43 228
xiu_mvs_v2_base97.66 8097.70 6997.56 16698.61 15695.46 17997.44 27698.46 17997.15 4898.65 7298.15 18894.33 9799.80 8497.84 5698.66 14297.41 229
Vis-MVSNet (Re-imp)96.87 12396.55 12497.83 14298.73 14295.46 17999.20 3598.30 21294.96 14996.60 17398.87 11390.05 17298.59 25493.67 22198.60 14399.46 111
IS-MVSNet97.22 10796.88 10798.25 11698.85 13596.36 13799.19 3797.97 26495.39 12297.23 14498.99 9691.11 15498.93 21994.60 18998.59 14499.47 107
PAPR96.84 12496.24 13598.65 8498.72 14696.92 11297.36 28598.57 15493.33 22196.67 16997.57 24094.30 9899.56 14291.05 28598.59 14499.47 107
TSAR-MVS + GP.98.38 4698.24 4698.81 7799.22 9897.25 10198.11 22798.29 21497.19 4598.99 4499.02 9096.22 2499.67 12698.52 2098.56 14699.51 98
diffmvs97.58 8797.40 8698.13 12598.32 17995.81 16898.06 23098.37 19796.20 8898.74 6298.89 11191.31 15099.25 17298.16 3798.52 14799.34 121
BH-untuned95.95 15695.72 15096.65 21798.55 16092.26 27998.23 20697.79 27493.73 20094.62 21798.01 19888.97 19999.00 20993.04 23998.51 14898.68 188
test-LLR95.10 20494.87 19395.80 27596.77 28489.70 32396.91 31495.21 35195.11 14094.83 21295.72 33587.71 22898.97 21093.06 23798.50 14998.72 184
TESTMET0.1,194.18 26493.69 26395.63 28196.92 27689.12 33396.91 31494.78 35693.17 22894.88 20996.45 31578.52 33198.92 22093.09 23698.50 14998.85 177
test-mter94.08 27193.51 27095.80 27596.77 28489.70 32396.91 31495.21 35192.89 24094.83 21295.72 33577.69 33898.97 21093.06 23798.50 14998.72 184
131496.25 14795.73 14997.79 14697.13 26595.55 17698.19 21598.59 14893.47 21692.03 31297.82 22091.33 14999.49 15394.62 18898.44 15298.32 207
LCM-MVSNet-Re95.22 19795.32 17294.91 30198.18 19087.85 35298.75 12095.66 34895.11 14088.96 33896.85 29990.26 17197.65 33095.65 16198.44 15299.22 138
EPP-MVSNet97.46 9297.28 9097.99 13498.64 15395.38 18199.33 1998.31 20693.61 21297.19 14599.07 8794.05 10199.23 17596.89 10698.43 15499.37 120
casdiffmvs97.63 8297.41 8598.28 11298.33 17796.14 14798.82 10798.32 20496.38 8397.95 11299.21 5591.23 15299.23 17598.12 3898.37 15599.48 105
PatchmatchNetpermissive95.71 16995.52 16196.29 25597.58 22890.72 31096.84 32397.52 29394.06 18097.08 14996.96 29089.24 18898.90 22492.03 26898.37 15599.26 135
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
MVS94.67 23193.54 26998.08 12996.88 28096.56 12898.19 21598.50 17278.05 36292.69 29498.02 19691.07 15699.63 13390.09 29698.36 15798.04 214
gg-mvs-nofinetune92.21 30090.58 30797.13 18596.75 28795.09 19495.85 34289.40 37485.43 35294.50 22181.98 36780.80 31998.40 28492.16 26298.33 15897.88 217
SCA95.46 17995.13 18096.46 24397.67 22191.29 30097.33 28897.60 28494.68 16096.92 15997.10 26883.97 29598.89 22592.59 25298.32 15999.20 139
baseline97.64 8197.44 8498.25 11698.35 17096.20 14499.00 7198.32 20496.33 8598.03 10299.17 6391.35 14899.16 18198.10 3998.29 16099.39 118
MVS_Test97.28 10597.00 10298.13 12598.33 17795.97 15598.74 12398.07 25494.27 17598.44 8398.07 19392.48 11899.26 17196.43 13298.19 16199.16 149
sss97.39 10096.98 10498.61 8698.60 15796.61 12498.22 20798.93 3993.97 18798.01 10898.48 15491.98 13399.85 5496.45 13098.15 16299.39 118
Patchmatch-test94.42 24993.68 26496.63 22197.60 22691.76 28894.83 35597.49 29789.45 32894.14 24297.10 26888.99 19598.83 23385.37 34098.13 16399.29 132
COLMAP_ROBcopyleft93.27 1295.33 19294.87 19396.71 21299.29 8293.24 26898.58 15598.11 24389.92 32093.57 26499.10 7886.37 25499.79 9690.78 28898.10 16497.09 238
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
GeoE96.58 13496.07 13998.10 12898.35 17095.89 16599.34 1698.12 24093.12 23196.09 19198.87 11389.71 17898.97 21092.95 24298.08 16599.43 115
mvs-test196.60 13096.68 12096.37 24997.89 20991.81 28698.56 16198.10 24596.57 7596.52 18097.94 20590.81 15899.45 16195.72 15698.01 16697.86 219
Effi-MVS+-dtu96.29 14396.56 12395.51 28397.89 20990.22 31898.80 11498.10 24596.57 7596.45 18496.66 30690.81 15898.91 22195.72 15697.99 16797.40 230
Fast-Effi-MVS+96.28 14595.70 15598.03 13298.29 18195.97 15598.58 15598.25 22091.74 27695.29 20397.23 26291.03 15799.15 18492.90 24497.96 16898.97 170
mvs_anonymous96.70 12896.53 12697.18 18298.19 18893.78 24498.31 19798.19 22594.01 18494.47 22298.27 18092.08 13198.46 26697.39 8597.91 16999.31 127
PMMVS96.60 13096.33 13197.41 17297.90 20893.93 24097.35 28698.41 18992.84 24297.76 12397.45 24991.10 15599.20 17896.26 13697.91 16999.11 155
AllTest95.24 19694.65 20196.99 19299.25 9093.21 26998.59 15398.18 22891.36 28893.52 26698.77 12684.67 28199.72 11389.70 30697.87 17198.02 215
TestCases96.99 19299.25 9093.21 26998.18 22891.36 28893.52 26698.77 12684.67 28199.72 11389.70 30697.87 17198.02 215
TAMVS97.02 11796.79 11197.70 15598.06 19995.31 18698.52 16598.31 20693.95 18897.05 15398.61 14093.49 10898.52 26095.33 16897.81 17399.29 132
Effi-MVS+97.12 11496.69 11898.39 10898.19 18896.72 12097.37 28398.43 18693.71 20297.65 13398.02 19692.20 12799.25 17296.87 11297.79 17499.19 143
Fast-Effi-MVS+-dtu95.87 16195.85 14695.91 27097.74 21891.74 29098.69 13898.15 23695.56 11394.92 20897.68 23188.98 19898.79 23793.19 23497.78 17597.20 237
DSMNet-mixed92.52 29892.58 28992.33 33794.15 35182.65 36498.30 19994.26 36289.08 33292.65 29595.73 33385.01 27595.76 35886.24 33297.76 17698.59 195
CDS-MVSNet96.99 11896.69 11897.90 13998.05 20095.98 15098.20 21198.33 20393.67 20996.95 15598.49 15393.54 10798.42 27195.24 17497.74 17799.31 127
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
thisisatest051595.61 17794.89 19297.76 14998.15 19395.15 19196.77 32594.41 35992.95 23797.18 14697.43 25184.78 27999.45 16194.63 18697.73 17898.68 188
thisisatest053096.01 15395.36 16897.97 13598.38 16895.52 17798.88 9594.19 36394.04 18197.64 13498.31 17583.82 30099.46 16095.29 17197.70 17998.93 174
BH-w/o95.38 18695.08 18396.26 25698.34 17591.79 28797.70 26397.43 30292.87 24194.24 23797.22 26388.66 20498.84 23191.55 27897.70 17998.16 212
PAPM94.95 21494.00 23897.78 14797.04 27095.65 17196.03 34098.25 22091.23 29794.19 24097.80 22291.27 15198.86 23082.61 35197.61 18198.84 179
tttt051796.07 15095.51 16297.78 14798.41 16794.84 20699.28 2294.33 36194.26 17697.64 13498.64 13984.05 29399.47 15995.34 16797.60 18299.03 164
HyFIR lowres test96.90 12296.49 12798.14 12399.33 6995.56 17497.38 28199.65 292.34 25897.61 13698.20 18589.29 18699.10 19596.97 9897.60 18299.77 23
CVMVSNet95.43 18296.04 14193.57 32697.93 20683.62 36198.12 22598.59 14895.68 10796.56 17499.02 9087.51 23297.51 33693.56 22597.44 18499.60 85
MDTV_nov1_ep1395.40 16397.48 23788.34 34696.85 32297.29 30893.74 19997.48 14197.26 25989.18 18999.05 19991.92 27197.43 185
baseline295.11 20394.52 20796.87 20396.65 29393.56 25398.27 20494.10 36593.45 21792.02 31397.43 25187.45 23699.19 17993.88 21497.41 18697.87 218
EPMVS94.99 21094.48 20996.52 23697.22 25691.75 28997.23 29491.66 37194.11 17897.28 14296.81 30185.70 26498.84 23193.04 23997.28 18798.97 170
LFMVS95.86 16294.98 18898.47 10098.87 13296.32 14098.84 10396.02 34293.40 21998.62 7399.20 5974.99 35299.63 13397.72 6297.20 18899.46 111
ADS-MVSNet294.58 23794.40 21795.11 29698.00 20188.74 34096.04 33897.30 30790.15 31596.47 18296.64 30987.89 22497.56 33490.08 29797.06 18999.02 165
ADS-MVSNet95.00 20994.45 21396.63 22198.00 20191.91 28596.04 33897.74 27790.15 31596.47 18296.64 30987.89 22498.96 21490.08 29797.06 18999.02 165
GG-mvs-BLEND96.59 22696.34 30694.98 20096.51 33488.58 37593.10 28494.34 35180.34 32298.05 31289.53 30996.99 19196.74 273
cascas94.63 23393.86 24996.93 19896.91 27894.27 23296.00 34198.51 16785.55 35194.54 21996.23 32284.20 29198.87 22895.80 15396.98 19297.66 226
WTY-MVS97.37 10296.92 10698.72 8098.86 13396.89 11598.31 19798.71 11895.26 13197.67 13098.56 14892.21 12699.78 10095.89 14896.85 19399.48 105
VDD-MVS95.82 16595.23 17697.61 16398.84 13693.98 23998.68 13997.40 30495.02 14697.95 11299.34 3574.37 35699.78 10098.64 896.80 19499.08 161
test_yl97.22 10796.78 11298.54 9298.73 14296.60 12598.45 17498.31 20694.70 15798.02 10498.42 16090.80 16099.70 11996.81 11596.79 19599.34 121
DCV-MVSNet97.22 10796.78 11298.54 9298.73 14296.60 12598.45 17498.31 20694.70 15798.02 10498.42 16090.80 16099.70 11996.81 11596.79 19599.34 121
PatchT93.06 29291.97 29796.35 25196.69 29092.67 27694.48 35797.08 31586.62 34297.08 14992.23 35987.94 22397.90 32278.89 36196.69 19798.49 199
VNet97.79 7497.40 8698.96 7098.88 13197.55 8698.63 14998.93 3996.74 6899.02 4098.84 11790.33 16999.83 6098.53 1496.66 19899.50 100
CR-MVSNet94.76 22594.15 22996.59 22697.00 27193.43 25994.96 35197.56 28692.46 25196.93 15796.24 32088.15 21797.88 32687.38 32696.65 19998.46 200
RPMNet92.81 29491.34 30297.24 17897.00 27193.43 25994.96 35198.80 9182.27 35796.93 15792.12 36086.98 24399.82 6876.32 36596.65 19998.46 200
VDDNet95.36 18994.53 20697.86 14098.10 19695.13 19398.85 10097.75 27690.46 30998.36 8799.39 1873.27 35899.64 13097.98 4496.58 20198.81 180
alignmvs97.56 8997.07 9999.01 6598.66 15198.37 4698.83 10498.06 25996.74 6898.00 11097.65 23290.80 16099.48 15798.37 3196.56 20299.19 143
HY-MVS93.96 896.82 12596.23 13698.57 8898.46 16597.00 10898.14 22298.21 22293.95 18896.72 16897.99 20091.58 14099.76 10794.51 19496.54 20398.95 173
1112_ss96.63 12996.00 14398.50 9698.56 15896.37 13698.18 21998.10 24592.92 23894.84 21098.43 15892.14 12899.58 13894.35 19896.51 20499.56 93
thres20095.25 19594.57 20497.28 17798.81 13894.92 20498.20 21197.11 31495.24 13496.54 17896.22 32484.58 28399.53 14887.93 32496.50 20597.39 231
Test_1112_low_res96.34 14295.66 15898.36 10998.56 15895.94 15897.71 26298.07 25492.10 26894.79 21497.29 25891.75 13799.56 14294.17 20596.50 20599.58 91
tpmrst95.63 17495.69 15695.44 28797.54 23388.54 34396.97 30997.56 28693.50 21597.52 14096.93 29489.49 18099.16 18195.25 17396.42 20798.64 193
ab-mvs96.42 13995.71 15398.55 9098.63 15496.75 11997.88 24998.74 10893.84 19396.54 17898.18 18785.34 27199.75 10995.93 14796.35 20899.15 150
thres600view795.49 17894.77 19597.67 15898.98 12595.02 19698.85 10096.90 32795.38 12396.63 17196.90 29584.29 28699.59 13788.65 31996.33 20998.40 202
RPSCF94.87 21995.40 16393.26 33298.89 13082.06 36698.33 19198.06 25990.30 31496.56 17499.26 4787.09 24099.49 15393.82 21696.32 21098.24 208
thres100view90095.38 18694.70 19997.41 17298.98 12594.92 20498.87 9796.90 32795.38 12396.61 17296.88 29684.29 28699.56 14288.11 32096.29 21197.76 220
tfpn200view995.32 19394.62 20297.43 17198.94 12794.98 20098.68 13996.93 32595.33 12696.55 17696.53 31284.23 28999.56 14288.11 32096.29 21197.76 220
thres40095.38 18694.62 20297.65 16198.94 12794.98 20098.68 13996.93 32595.33 12696.55 17696.53 31284.23 28999.56 14288.11 32096.29 21198.40 202
canonicalmvs97.67 7997.23 9298.98 6898.70 14798.38 4099.34 1698.39 19396.76 6797.67 13097.40 25392.26 12399.49 15398.28 3596.28 21499.08 161
XVG-OURS96.55 13596.41 12896.99 19298.75 14193.76 24597.50 27598.52 16495.67 10896.83 16299.30 4288.95 20099.53 14895.88 14996.26 21597.69 225
GA-MVS94.81 22294.03 23497.14 18497.15 26493.86 24296.76 32697.58 28594.00 18594.76 21597.04 28180.91 31698.48 26291.79 27396.25 21699.09 158
tpm294.19 26293.76 25895.46 28697.23 25589.04 33597.31 29096.85 33387.08 34196.21 18996.79 30283.75 30198.74 24092.43 26096.23 21798.59 195
MIMVSNet93.26 28792.21 29496.41 24697.73 21993.13 27195.65 34697.03 31991.27 29694.04 24796.06 32775.33 35097.19 34086.56 33096.23 21798.92 175
TR-MVS94.94 21694.20 22497.17 18397.75 21594.14 23697.59 27197.02 32192.28 26395.75 19897.64 23483.88 29798.96 21489.77 30396.15 21998.40 202
MVS_030492.81 29492.01 29695.23 29197.46 23991.33 29898.17 22098.81 8091.13 30193.80 25895.68 33866.08 36698.06 31190.79 28796.13 22096.32 321
CostFormer94.95 21494.73 19895.60 28297.28 25289.06 33497.53 27496.89 32989.66 32596.82 16496.72 30486.05 25998.95 21895.53 16496.13 22098.79 181
tpmvs94.60 23494.36 21895.33 29097.46 23988.60 34296.88 32097.68 27891.29 29493.80 25896.42 31788.58 20599.24 17491.06 28396.04 22298.17 211
tpm cat193.36 28292.80 28495.07 29897.58 22887.97 35096.76 32697.86 27282.17 35893.53 26596.04 32886.13 25799.13 18789.24 31495.87 22398.10 213
XVG-OURS-SEG-HR96.51 13696.34 13097.02 19198.77 14093.76 24597.79 25898.50 17295.45 11996.94 15699.09 8487.87 22699.55 14796.76 12195.83 22497.74 222
DWT-MVSNet_test94.82 22094.36 21896.20 25897.35 24990.79 30898.34 18996.57 34092.91 23995.33 20296.44 31682.00 30699.12 18894.52 19395.78 22598.70 186
JIA-IIPM93.35 28392.49 29095.92 26996.48 30190.65 31295.01 35096.96 32385.93 34896.08 19287.33 36487.70 23098.78 23891.35 28095.58 22698.34 205
Anonymous20240521195.28 19494.49 20897.67 15899.00 12193.75 24798.70 13697.04 31890.66 30596.49 18198.80 12278.13 33599.83 6096.21 13895.36 22799.44 114
Anonymous2024052995.10 20494.22 22397.75 15099.01 12094.26 23398.87 9798.83 7285.79 35096.64 17098.97 9778.73 33099.85 5496.27 13594.89 22899.12 154
CLD-MVS95.62 17595.34 16996.46 24397.52 23693.75 24797.27 29398.46 17995.53 11494.42 22898.00 19986.21 25698.97 21096.25 13794.37 22996.66 286
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
dp94.15 26593.90 24694.90 30297.31 25186.82 35796.97 30997.19 31391.22 29896.02 19496.61 31185.51 26799.02 20690.00 30194.30 23098.85 177
HQP_MVS96.14 14995.90 14596.85 20497.42 24494.60 22098.80 11498.56 15697.28 3695.34 20098.28 17787.09 24099.03 20396.07 14094.27 23196.92 249
plane_prior598.56 15699.03 20396.07 14094.27 23196.92 249
plane_prior94.60 22098.44 17796.74 6894.22 233
OPM-MVS95.69 17295.33 17196.76 20996.16 31494.63 21598.43 17998.39 19396.64 7295.02 20698.78 12485.15 27399.05 19995.21 17594.20 23496.60 291
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
HQP3-MVS98.46 17994.18 235
HQP-MVS95.72 16895.40 16396.69 21597.20 25894.25 23498.05 23198.46 17996.43 8094.45 22397.73 22586.75 24698.96 21495.30 16994.18 23596.86 262
LPG-MVS_test95.62 17595.34 16996.47 24097.46 23993.54 25498.99 7398.54 16094.67 16194.36 23098.77 12685.39 26899.11 19295.71 15894.15 23796.76 271
LGP-MVS_train96.47 24097.46 23993.54 25498.54 16094.67 16194.36 23098.77 12685.39 26899.11 19295.71 15894.15 23796.76 271
test_djsdf96.00 15495.69 15696.93 19895.72 32795.49 17899.47 798.40 19194.98 14794.58 21897.86 21389.16 19098.41 27896.91 10294.12 23996.88 258
jajsoiax95.45 18195.03 18596.73 21195.42 33894.63 21599.14 4398.52 16495.74 10493.22 27798.36 16783.87 29898.65 24896.95 10194.04 24096.91 254
anonymousdsp95.42 18394.91 19196.94 19795.10 34095.90 16499.14 4398.41 18993.75 19793.16 27997.46 24787.50 23498.41 27895.63 16294.03 24196.50 310
mvs_tets95.41 18595.00 18696.65 21795.58 33194.42 22699.00 7198.55 15895.73 10593.21 27898.38 16583.45 30298.63 24997.09 9494.00 24296.91 254
ACMP93.49 1095.34 19194.98 18896.43 24597.67 22193.48 25898.73 12798.44 18394.94 15292.53 29998.53 14984.50 28599.14 18695.48 16694.00 24296.66 286
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM93.85 995.69 17295.38 16796.61 22397.61 22593.84 24398.91 8798.44 18395.25 13294.28 23498.47 15586.04 26199.12 18895.50 16593.95 24496.87 260
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
UniMVSNet_ETH3D94.24 25993.33 27596.97 19597.19 26193.38 26398.74 12398.57 15491.21 29993.81 25798.58 14572.85 35998.77 23995.05 17793.93 24598.77 183
XVG-ACMP-BASELINE94.54 24094.14 23095.75 27896.55 29691.65 29298.11 22798.44 18394.96 14994.22 23897.90 20879.18 32899.11 19294.05 21193.85 24696.48 312
EG-PatchMatch MVS91.13 30890.12 31194.17 32394.73 34789.00 33698.13 22497.81 27389.22 33185.32 35596.46 31467.71 36398.42 27187.89 32593.82 24795.08 346
testgi93.06 29292.45 29194.88 30396.43 30389.90 32098.75 12097.54 29295.60 11191.63 31797.91 20774.46 35597.02 34286.10 33393.67 24897.72 224
test0.0.03 194.08 27193.51 27095.80 27595.53 33392.89 27597.38 28195.97 34495.11 14092.51 30196.66 30687.71 22896.94 34487.03 32893.67 24897.57 227
CMPMVSbinary66.06 2189.70 31989.67 31589.78 34393.19 35876.56 36897.00 30898.35 20080.97 35981.57 36097.75 22474.75 35398.61 25089.85 30293.63 25094.17 354
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
ACMMP++93.61 251
D2MVS95.18 20095.08 18395.48 28497.10 26792.07 28298.30 19999.13 2094.02 18392.90 28796.73 30389.48 18198.73 24194.48 19593.60 25295.65 337
EI-MVSNet95.96 15595.83 14796.36 25097.93 20693.70 25198.12 22598.27 21593.70 20495.07 20499.02 9092.23 12598.54 25894.68 18593.46 25396.84 263
MVSTER96.06 15195.72 15097.08 18998.23 18395.93 16198.73 12798.27 21594.86 15395.07 20498.09 19288.21 21498.54 25896.59 12493.46 25396.79 267
PS-MVSNAJss96.43 13896.26 13496.92 20195.84 32595.08 19599.16 4098.50 17295.87 10093.84 25698.34 17294.51 9198.61 25096.88 10993.45 25597.06 240
LTVRE_ROB92.95 1594.60 23493.90 24696.68 21697.41 24794.42 22698.52 16598.59 14891.69 27991.21 31998.35 16884.87 27799.04 20291.06 28393.44 25696.60 291
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
ITE_SJBPF95.44 28797.42 24491.32 29997.50 29595.09 14393.59 26298.35 16881.70 30998.88 22789.71 30593.39 25796.12 326
PVSNet_BlendedMVS96.73 12796.60 12297.12 18699.25 9095.35 18498.26 20599.26 994.28 17497.94 11497.46 24792.74 11699.81 7596.88 10993.32 25896.20 324
ACMH92.88 1694.55 23993.95 24296.34 25297.63 22493.26 26798.81 11398.49 17793.43 21889.74 33298.53 14981.91 30899.08 19793.69 21893.30 25996.70 280
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
OpenMVS_ROBcopyleft86.42 2089.00 32487.43 32993.69 32593.08 35989.42 32997.91 24496.89 32978.58 36185.86 35294.69 34669.48 36198.29 29477.13 36493.29 26093.36 361
USDC93.33 28592.71 28695.21 29296.83 28390.83 30796.91 31497.50 29593.84 19390.72 32498.14 18977.69 33898.82 23489.51 31093.21 26195.97 330
RRT_MVS96.04 15295.53 16097.56 16697.07 26997.32 9398.57 16098.09 25095.15 13795.02 20698.44 15788.20 21598.58 25696.17 13993.09 26296.79 267
ACMMP++_ref92.97 263
test_040291.32 30590.27 31094.48 31696.60 29491.12 30298.50 17097.22 31286.10 34788.30 34396.98 28777.65 34097.99 31778.13 36392.94 26494.34 352
FIs96.51 13696.12 13897.67 15897.13 26597.54 8799.36 1399.22 1595.89 9894.03 24898.35 16891.98 13398.44 26996.40 13392.76 26597.01 242
FC-MVSNet-test96.42 13996.05 14097.53 16896.95 27497.27 9699.36 1399.23 1395.83 10193.93 25098.37 16692.00 13298.32 28796.02 14592.72 26697.00 243
TinyColmap92.31 29991.53 30094.65 31196.92 27689.75 32296.92 31296.68 33790.45 31089.62 33397.85 21576.06 34898.81 23586.74 32992.51 26795.41 339
ACMH+92.99 1494.30 25593.77 25695.88 27397.81 21392.04 28498.71 13298.37 19793.99 18690.60 32698.47 15580.86 31899.05 19992.75 24892.40 26896.55 299
GBi-Net94.49 24493.80 25396.56 23098.21 18595.00 19798.82 10798.18 22892.46 25194.09 24497.07 27581.16 31397.95 31892.08 26492.14 26996.72 276
test194.49 24493.80 25396.56 23098.21 18595.00 19798.82 10798.18 22892.46 25194.09 24497.07 27581.16 31397.95 31892.08 26492.14 26996.72 276
FMVSNet394.97 21394.26 22297.11 18798.18 19096.62 12298.56 16198.26 21993.67 20994.09 24497.10 26884.25 28898.01 31492.08 26492.14 26996.70 280
FMVSNet294.47 24693.61 26697.04 19098.21 18596.43 13498.79 11898.27 21592.46 25193.50 26997.09 27281.16 31398.00 31691.09 28191.93 27296.70 280
LF4IMVS93.14 29192.79 28594.20 32195.88 32388.67 34197.66 26697.07 31693.81 19691.71 31597.65 23277.96 33798.81 23591.47 27991.92 27395.12 344
OurMVSNet-221017-094.21 26094.00 23894.85 30495.60 33089.22 33298.89 9297.43 30295.29 12992.18 30998.52 15282.86 30398.59 25493.46 22691.76 27496.74 273
EGC-MVSNET75.22 33569.54 33892.28 33894.81 34589.58 32697.64 26796.50 3411.82 3785.57 37995.74 33168.21 36296.26 35673.80 36791.71 27590.99 363
pmmvs494.69 22693.99 24096.81 20795.74 32695.94 15897.40 27997.67 27990.42 31193.37 27397.59 23889.08 19398.20 29992.97 24191.67 27696.30 322
tpm94.13 26693.80 25395.12 29596.50 29987.91 35197.44 27695.89 34792.62 24796.37 18696.30 31984.13 29298.30 29193.24 23291.66 27799.14 152
our_test_393.65 28093.30 27694.69 30995.45 33689.68 32596.91 31497.65 28091.97 27191.66 31696.88 29689.67 17997.93 32188.02 32391.49 27896.48 312
bset_n11_16_dypcd94.89 21894.27 22196.76 20994.41 34995.15 19195.67 34595.64 34995.53 11494.65 21697.52 24487.10 23998.29 29496.58 12691.35 27996.83 265
IterMVS94.09 27093.85 25094.80 30797.99 20390.35 31697.18 29898.12 24093.68 20792.46 30497.34 25484.05 29397.41 33792.51 25791.33 28096.62 289
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IterMVS-SCA-FT94.11 26893.87 24894.85 30497.98 20590.56 31497.18 29898.11 24393.75 19792.58 29797.48 24683.97 29597.41 33792.48 25991.30 28196.58 293
FMVSNet193.19 29092.07 29596.56 23097.54 23395.00 19798.82 10798.18 22890.38 31292.27 30797.07 27573.68 35797.95 31889.36 31391.30 28196.72 276
XXY-MVS95.20 19994.45 21397.46 16996.75 28796.56 12898.86 9998.65 14093.30 22493.27 27698.27 18084.85 27898.87 22894.82 18291.26 28396.96 246
cl2294.68 22894.19 22596.13 26198.11 19593.60 25296.94 31198.31 20692.43 25593.32 27596.87 29886.51 24998.28 29694.10 20991.16 28496.51 308
miper_ehance_all_eth95.01 20894.69 20095.97 26797.70 22093.31 26597.02 30798.07 25492.23 26493.51 26896.96 29091.85 13598.15 30293.68 21991.16 28496.44 315
miper_enhance_ethall95.10 20494.75 19796.12 26297.53 23593.73 24996.61 33198.08 25292.20 26793.89 25296.65 30892.44 11998.30 29194.21 20491.16 28496.34 318
RRT_test8_iter0594.56 23894.19 22595.67 28097.60 22691.34 29698.93 8598.42 18894.75 15693.39 27297.87 21279.00 32998.61 25096.78 11990.99 28797.07 239
pmmvs593.65 28092.97 28295.68 27995.49 33492.37 27898.20 21197.28 30989.66 32592.58 29797.26 25982.14 30598.09 30893.18 23590.95 28896.58 293
ET-MVSNet_ETH3D94.13 26692.98 28197.58 16498.22 18496.20 14497.31 29095.37 35094.53 16679.56 36297.63 23686.51 24997.53 33596.91 10290.74 28999.02 165
SixPastTwentyTwo93.34 28492.86 28394.75 30895.67 32889.41 33098.75 12096.67 33893.89 19090.15 33098.25 18280.87 31798.27 29790.90 28690.64 29096.57 295
N_pmnet87.12 32887.77 32785.17 34895.46 33561.92 37597.37 28370.66 38185.83 34988.73 34296.04 32885.33 27297.76 32980.02 35690.48 29195.84 332
ppachtmachnet_test93.22 28892.63 28894.97 30095.45 33690.84 30696.88 32097.88 27190.60 30692.08 31197.26 25988.08 22097.86 32785.12 34190.33 29296.22 323
DIV-MVS_self_test94.52 24294.03 23495.99 26597.57 23293.38 26397.05 30597.94 26791.74 27692.81 28997.10 26889.12 19198.07 31092.60 25090.30 29396.53 302
cl____94.51 24394.01 23796.02 26497.58 22893.40 26297.05 30597.96 26691.73 27892.76 29197.08 27489.06 19498.13 30492.61 24990.29 29496.52 305
IterMVS-LS95.46 17995.21 17796.22 25798.12 19493.72 25098.32 19698.13 23993.71 20294.26 23597.31 25792.24 12498.10 30694.63 18690.12 29596.84 263
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
Patchmtry93.22 28892.35 29295.84 27496.77 28493.09 27394.66 35697.56 28687.37 34092.90 28796.24 32088.15 21797.90 32287.37 32790.10 29696.53 302
EU-MVSNet93.66 27894.14 23092.25 33995.96 32183.38 36298.52 16598.12 24094.69 15992.61 29698.13 19087.36 23796.39 35591.82 27290.00 29796.98 244
Anonymous2023120691.66 30391.10 30393.33 33094.02 35587.35 35498.58 15597.26 31190.48 30890.16 32996.31 31883.83 29996.53 35379.36 35989.90 29896.12 326
eth_miper_zixun_eth94.68 22894.41 21695.47 28597.64 22391.71 29196.73 32898.07 25492.71 24593.64 26197.21 26490.54 16598.17 30193.38 22789.76 29996.54 300
FMVSNet591.81 30190.92 30494.49 31597.21 25792.09 28198.00 23797.55 29189.31 33090.86 32395.61 33974.48 35495.32 36185.57 33789.70 30096.07 328
miper_lstm_enhance94.33 25394.07 23395.11 29697.75 21590.97 30497.22 29598.03 26191.67 28092.76 29196.97 28890.03 17397.78 32892.51 25789.64 30196.56 297
v119294.32 25493.58 26796.53 23596.10 31594.45 22498.50 17098.17 23391.54 28394.19 24097.06 27886.95 24498.43 27090.14 29589.57 30296.70 280
v114494.59 23693.92 24396.60 22596.21 30994.78 21298.59 15398.14 23891.86 27594.21 23997.02 28387.97 22298.41 27891.72 27589.57 30296.61 290
Anonymous2024052191.18 30790.44 30893.42 32793.70 35688.47 34498.94 8397.56 28688.46 33589.56 33595.08 34477.15 34596.97 34383.92 34789.55 30494.82 350
VPA-MVSNet95.75 16795.11 18297.69 15697.24 25497.27 9698.94 8399.23 1395.13 13895.51 19997.32 25685.73 26398.91 22197.33 8889.55 30496.89 257
v124094.06 27393.29 27796.34 25296.03 31993.90 24198.44 17798.17 23391.18 30094.13 24397.01 28586.05 25998.42 27189.13 31689.50 30696.70 280
K. test v392.55 29791.91 29994.48 31695.64 32989.24 33199.07 5694.88 35594.04 18186.78 34897.59 23877.64 34197.64 33192.08 26489.43 30796.57 295
v192192094.20 26193.47 27296.40 24895.98 32094.08 23798.52 16598.15 23691.33 29194.25 23697.20 26586.41 25398.42 27190.04 30089.39 30896.69 285
new_pmnet90.06 31789.00 32193.22 33394.18 35088.32 34796.42 33696.89 32986.19 34585.67 35493.62 35377.18 34497.10 34181.61 35389.29 30994.23 353
c3_l94.79 22394.43 21595.89 27297.75 21593.12 27297.16 30198.03 26192.23 26493.46 27197.05 28091.39 14698.01 31493.58 22489.21 31096.53 302
v14419294.39 25193.70 26296.48 23996.06 31794.35 23098.58 15598.16 23591.45 28594.33 23297.02 28387.50 23498.45 26791.08 28289.11 31196.63 288
nrg03096.28 14595.72 15097.96 13796.90 27998.15 6199.39 1098.31 20695.47 11894.42 22898.35 16892.09 13098.69 24297.50 8289.05 31297.04 241
DeepMVS_CXcopyleft86.78 34597.09 26872.30 37195.17 35475.92 36384.34 35795.19 34170.58 36095.35 35979.98 35889.04 31392.68 362
tfpnnormal93.66 27892.70 28796.55 23496.94 27595.94 15898.97 7799.19 1691.04 30291.38 31897.34 25484.94 27698.61 25085.45 33989.02 31495.11 345
Anonymous2023121194.10 26993.26 27896.61 22399.11 11294.28 23199.01 6998.88 5186.43 34492.81 28997.57 24081.66 31098.68 24594.83 18189.02 31496.88 258
v2v48294.69 22694.03 23496.65 21796.17 31294.79 21198.67 14298.08 25292.72 24494.00 24997.16 26687.69 23198.45 26792.91 24388.87 31696.72 276
V4294.78 22494.14 23096.70 21496.33 30795.22 18898.97 7798.09 25092.32 26094.31 23397.06 27888.39 21198.55 25792.90 24488.87 31696.34 318
WR-MVS95.15 20194.46 21197.22 17996.67 29296.45 13298.21 20898.81 8094.15 17793.16 27997.69 22887.51 23298.30 29195.29 17188.62 31896.90 256
FPMVS77.62 33477.14 33479.05 35279.25 37560.97 37695.79 34395.94 34565.96 36667.93 36994.40 34837.73 37588.88 37168.83 36888.46 31987.29 365
v1094.29 25693.55 26896.51 23796.39 30494.80 21098.99 7398.19 22591.35 29093.02 28596.99 28688.09 21998.41 27890.50 29288.41 32096.33 320
test_part194.82 22093.82 25197.82 14498.84 13697.82 7799.03 6398.81 8092.31 26292.51 30197.89 21081.96 30798.67 24694.80 18488.24 32196.98 244
CP-MVSNet94.94 21694.30 22096.83 20596.72 28995.56 17499.11 4998.95 3593.89 19092.42 30597.90 20887.19 23898.12 30594.32 20088.21 32296.82 266
MIMVSNet189.67 32088.28 32493.82 32492.81 36191.08 30398.01 23597.45 30087.95 33787.90 34595.87 33067.63 36494.56 36578.73 36288.18 32395.83 333
PS-CasMVS94.67 23193.99 24096.71 21296.68 29195.26 18799.13 4699.03 2693.68 20792.33 30697.95 20485.35 27098.10 30693.59 22388.16 32496.79 267
WR-MVS_H95.05 20794.46 21196.81 20796.86 28195.82 16799.24 2699.24 1193.87 19292.53 29996.84 30090.37 16798.24 29893.24 23287.93 32596.38 317
v894.47 24693.77 25696.57 22996.36 30594.83 20899.05 5998.19 22591.92 27293.16 27996.97 28888.82 20398.48 26291.69 27687.79 32696.39 316
v7n94.19 26293.43 27396.47 24095.90 32294.38 22999.26 2498.34 20291.99 27092.76 29197.13 26788.31 21298.52 26089.48 31187.70 32796.52 305
UniMVSNet (Re)95.78 16695.19 17897.58 16496.99 27397.47 8998.79 11899.18 1795.60 11193.92 25197.04 28191.68 13898.48 26295.80 15387.66 32896.79 267
baseline195.84 16395.12 18198.01 13398.49 16495.98 15098.73 12797.03 31995.37 12596.22 18898.19 18689.96 17499.16 18194.60 18987.48 32998.90 176
Gipumacopyleft78.40 33276.75 33583.38 34995.54 33280.43 36779.42 37097.40 30464.67 36773.46 36580.82 36845.65 37293.14 36766.32 36987.43 33076.56 370
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
NR-MVSNet94.98 21294.16 22897.44 17096.53 29797.22 10298.74 12398.95 3594.96 14989.25 33797.69 22889.32 18598.18 30094.59 19187.40 33196.92 249
VPNet94.99 21094.19 22597.40 17497.16 26396.57 12798.71 13298.97 3195.67 10894.84 21098.24 18380.36 32198.67 24696.46 12987.32 33296.96 246
UniMVSNet_NR-MVSNet95.71 16995.15 17997.40 17496.84 28296.97 10998.74 12399.24 1195.16 13693.88 25397.72 22791.68 13898.31 28995.81 15187.25 33396.92 249
DU-MVS95.42 18394.76 19697.40 17496.53 29796.97 10998.66 14598.99 3095.43 12093.88 25397.69 22888.57 20698.31 28995.81 15187.25 33396.92 249
v14894.29 25693.76 25895.91 27096.10 31592.93 27498.58 15597.97 26492.59 24993.47 27096.95 29288.53 20998.32 28792.56 25487.06 33596.49 311
Baseline_NR-MVSNet94.35 25293.81 25295.96 26896.20 31094.05 23898.61 15296.67 33891.44 28693.85 25597.60 23788.57 20698.14 30394.39 19686.93 33695.68 336
PEN-MVS94.42 24993.73 26096.49 23896.28 30894.84 20699.17 3999.00 2893.51 21492.23 30897.83 21986.10 25897.90 32292.55 25586.92 33796.74 273
TranMVSNet+NR-MVSNet95.14 20294.48 20997.11 18796.45 30296.36 13799.03 6399.03 2695.04 14593.58 26397.93 20688.27 21398.03 31394.13 20686.90 33896.95 248
MDA-MVSNet_test_wron90.71 31289.38 31794.68 31094.83 34490.78 30997.19 29797.46 29887.60 33872.41 36795.72 33586.51 24996.71 35085.92 33586.80 33996.56 297
YYNet190.70 31389.39 31694.62 31294.79 34690.65 31297.20 29697.46 29887.54 33972.54 36695.74 33186.51 24996.66 35186.00 33486.76 34096.54 300
MDA-MVSNet-bldmvs89.97 31888.35 32394.83 30695.21 33991.34 29697.64 26797.51 29488.36 33671.17 36896.13 32679.22 32796.63 35283.65 34886.27 34196.52 305
test20.0390.89 31190.38 30992.43 33693.48 35788.14 34998.33 19197.56 28693.40 21987.96 34496.71 30580.69 32094.13 36679.15 36086.17 34295.01 349
DTE-MVSNet93.98 27593.26 27896.14 26096.06 31794.39 22899.20 3598.86 6493.06 23291.78 31497.81 22185.87 26297.58 33390.53 29186.17 34296.46 314
pm-mvs193.94 27693.06 28096.59 22696.49 30095.16 18998.95 8198.03 26192.32 26091.08 32197.84 21684.54 28498.41 27892.16 26286.13 34496.19 325
lessismore_v094.45 31994.93 34388.44 34591.03 37286.77 34997.64 23476.23 34798.42 27190.31 29485.64 34596.51 308
pmmvs691.77 30290.63 30695.17 29494.69 34891.24 30198.67 14297.92 26986.14 34689.62 33397.56 24275.79 34998.34 28590.75 28984.56 34695.94 331
IB-MVS91.98 1793.27 28691.97 29797.19 18197.47 23893.41 26197.09 30495.99 34393.32 22292.47 30395.73 33378.06 33699.53 14894.59 19182.98 34798.62 194
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
ambc89.49 34486.66 36975.78 36992.66 36296.72 33586.55 35092.50 35846.01 37197.90 32290.32 29382.09 34894.80 351
Patchmatch-RL test91.49 30490.85 30593.41 32891.37 36484.40 35992.81 36195.93 34691.87 27487.25 34694.87 34588.99 19596.53 35392.54 25682.00 34999.30 130
PM-MVS87.77 32686.55 33091.40 34291.03 36683.36 36396.92 31295.18 35391.28 29586.48 35193.42 35453.27 37096.74 34789.43 31281.97 35094.11 355
pmmvs-eth3d90.36 31589.05 32094.32 32091.10 36592.12 28097.63 27096.95 32488.86 33384.91 35693.13 35578.32 33296.74 34788.70 31881.81 35194.09 356
h-mvs3396.17 14895.62 15997.81 14599.03 11794.45 22498.64 14798.75 10697.48 2098.67 6798.72 13189.76 17699.86 5397.95 4581.59 35299.11 155
TransMVSNet (Re)92.67 29691.51 30196.15 25996.58 29594.65 21398.90 8896.73 33490.86 30489.46 33697.86 21385.62 26598.09 30886.45 33181.12 35395.71 335
PMVScopyleft61.03 2365.95 33863.57 34273.09 35557.90 38051.22 38185.05 36893.93 36654.45 36944.32 37583.57 36513.22 37989.15 37058.68 37181.00 35478.91 369
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
AUN-MVS94.53 24193.73 26096.92 20198.50 16293.52 25798.34 18998.10 24593.83 19595.94 19797.98 20285.59 26699.03 20394.35 19880.94 35598.22 209
hse-mvs295.71 16995.30 17496.93 19898.50 16293.53 25698.36 18798.10 24597.48 2098.67 6797.99 20089.76 17699.02 20697.95 4580.91 35698.22 209
UnsupCasMVSNet_eth90.99 31089.92 31394.19 32294.08 35289.83 32197.13 30398.67 13393.69 20585.83 35396.19 32575.15 35196.74 34789.14 31579.41 35796.00 329
test_method79.03 33078.17 33381.63 35086.06 37054.40 38082.75 36996.89 32939.54 37380.98 36195.57 34058.37 36994.73 36484.74 34578.61 35895.75 334
TDRefinement91.06 30989.68 31495.21 29285.35 37191.49 29598.51 16997.07 31691.47 28488.83 34197.84 21677.31 34299.09 19692.79 24777.98 35995.04 347
new-patchmatchnet88.50 32587.45 32891.67 34190.31 36785.89 35897.16 30197.33 30689.47 32783.63 35892.77 35676.38 34695.06 36382.70 35077.29 36094.06 357
KD-MVS_self_test90.38 31489.38 31793.40 32992.85 36088.94 33897.95 24097.94 26790.35 31390.25 32893.96 35279.82 32395.94 35784.62 34676.69 36195.33 340
pmmvs386.67 32984.86 33292.11 34088.16 36887.19 35696.63 33094.75 35779.88 36087.22 34792.75 35766.56 36595.20 36281.24 35476.56 36293.96 358
CL-MVSNet_self_test90.11 31689.14 31993.02 33491.86 36388.23 34896.51 33498.07 25490.49 30790.49 32794.41 34784.75 28095.34 36080.79 35574.95 36395.50 338
LCM-MVSNet78.70 33176.24 33686.08 34677.26 37771.99 37294.34 35896.72 33561.62 36876.53 36389.33 36233.91 37792.78 36881.85 35274.60 36493.46 360
UnsupCasMVSNet_bld87.17 32785.12 33193.31 33191.94 36288.77 33994.92 35398.30 21284.30 35582.30 35990.04 36163.96 36897.25 33985.85 33674.47 36593.93 359
PVSNet_088.72 1991.28 30690.03 31295.00 29997.99 20387.29 35594.84 35498.50 17292.06 26989.86 33195.19 34179.81 32499.39 16492.27 26169.79 36698.33 206
KD-MVS_2432*160089.61 32187.96 32594.54 31394.06 35391.59 29395.59 34797.63 28289.87 32188.95 33994.38 34978.28 33396.82 34584.83 34268.05 36795.21 342
miper_refine_blended89.61 32187.96 32594.54 31394.06 35391.59 29395.59 34797.63 28289.87 32188.95 33994.38 34978.28 33396.82 34584.83 34268.05 36795.21 342
PMMVS277.95 33375.44 33785.46 34782.54 37274.95 37094.23 35993.08 36772.80 36574.68 36487.38 36336.36 37691.56 36973.95 36663.94 36989.87 364
MVEpermissive62.14 2263.28 34159.38 34474.99 35374.33 37865.47 37485.55 36780.50 37952.02 37151.10 37375.00 37210.91 38280.50 37351.60 37253.40 37078.99 368
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
E-PMN64.94 33964.25 34167.02 35682.28 37359.36 37891.83 36485.63 37652.69 37060.22 37177.28 37041.06 37480.12 37446.15 37341.14 37161.57 372
EMVS64.07 34063.26 34366.53 35781.73 37458.81 37991.85 36384.75 37751.93 37259.09 37275.13 37143.32 37379.09 37542.03 37439.47 37261.69 371
ANet_high69.08 33665.37 34080.22 35165.99 37971.96 37390.91 36590.09 37382.62 35649.93 37478.39 36929.36 37881.75 37262.49 37038.52 37386.95 367
tmp_tt68.90 33766.97 33974.68 35450.78 38159.95 37787.13 36683.47 37838.80 37462.21 37096.23 32264.70 36776.91 37688.91 31730.49 37487.19 366
wuyk23d30.17 34230.18 34630.16 35878.61 37643.29 38266.79 37114.21 38217.31 37514.82 37811.93 37811.55 38141.43 37737.08 37519.30 3755.76 375
testmvs21.48 34424.95 34711.09 36014.89 3826.47 38496.56 3329.87 3837.55 37617.93 37639.02 3749.43 3835.90 37916.56 37712.72 37620.91 374
test12320.95 34523.72 34812.64 35913.54 3838.19 38396.55 3336.13 3847.48 37716.74 37737.98 37512.97 3806.05 37816.69 3765.43 37723.68 373
test_blank0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uanet_test0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
DCPMVS0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
cdsmvs_eth3d_5k23.98 34331.98 3450.00 3610.00 3840.00 3850.00 37298.59 1480.00 3790.00 38098.61 14090.60 1640.00 3800.00 3780.00 3780.00 376
pcd_1.5k_mvsjas7.88 34710.50 3500.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 37994.51 910.00 3800.00 3780.00 3780.00 376
sosnet-low-res0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
sosnet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uncertanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
Regformer0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
ab-mvs-re8.20 34610.94 3490.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 38098.43 1580.00 3840.00 3800.00 3780.00 3780.00 376
uanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
FOURS199.82 198.66 2699.69 198.95 3597.46 2399.39 15
test_one_060199.66 2899.25 298.86 6497.55 1699.20 2699.47 1097.57 6
eth-test20.00 384
eth-test0.00 384
test_241102_ONE99.71 2199.24 598.87 5897.62 1299.73 199.39 1897.53 799.74 111
save fliter99.46 5598.38 4098.21 20898.71 11897.95 3
test072699.72 1399.25 299.06 5798.88 5197.62 1299.56 699.50 597.42 9
GSMVS99.20 139
test_part299.63 3199.18 1099.27 21
sam_mvs189.45 18299.20 139
sam_mvs88.99 195
MTGPAbinary98.74 108
test_post196.68 32930.43 37787.85 22798.69 24292.59 252
test_post31.83 37688.83 20298.91 221
patchmatchnet-post95.10 34389.42 18398.89 225
MTMP98.89 9294.14 364
gm-plane-assit95.88 32387.47 35389.74 32496.94 29399.19 17993.32 231
TEST999.31 7498.50 3497.92 24298.73 11292.63 24697.74 12598.68 13496.20 2799.80 84
test_899.29 8298.44 3697.89 24898.72 11492.98 23597.70 12898.66 13796.20 2799.80 84
agg_prior99.30 7998.38 4098.72 11497.57 13899.81 75
test_prior498.01 6797.86 251
test_prior99.19 4699.31 7498.22 5598.84 6999.70 11999.65 73
旧先验297.57 27391.30 29398.67 6799.80 8495.70 160
新几何297.64 267
无先验97.58 27298.72 11491.38 28799.87 4893.36 22999.60 85
原ACMM297.67 265
testdata299.89 3991.65 277
segment_acmp96.85 14
testdata197.32 28996.34 84
plane_prior797.42 24494.63 215
plane_prior697.35 24994.61 21887.09 240
plane_prior498.28 177
plane_prior394.61 21897.02 5595.34 200
plane_prior298.80 11497.28 36
plane_prior197.37 248
n20.00 385
nn0.00 385
door-mid94.37 360
test1198.66 136
door94.64 358
HQP5-MVS94.25 234
HQP-NCC97.20 25898.05 23196.43 8094.45 223
ACMP_Plane97.20 25898.05 23196.43 8094.45 223
BP-MVS95.30 169
HQP4-MVS94.45 22398.96 21496.87 260
HQP2-MVS86.75 246
NP-MVS97.28 25294.51 22397.73 225
MDTV_nov1_ep13_2view84.26 36096.89 31990.97 30397.90 11889.89 17593.91 21399.18 148
Test By Simon94.64 87