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 bysorted bysort bysort bysort bysort bysort bysort by
CNVR-MVS99.40 199.26 199.84 699.98 299.51 699.98 998.69 5798.20 399.93 199.98 296.82 22100.00 199.75 28100.00 199.99 24
patch_mono-298.24 6499.12 595.59 21499.67 9286.91 32699.95 4398.89 4397.60 1299.90 299.76 7696.54 2799.98 4699.94 1299.82 9199.88 96
NCCC99.37 299.25 299.71 1399.96 899.15 2099.97 1898.62 6998.02 699.90 299.95 397.33 16100.00 199.54 39100.00 1100.00 1
TSAR-MVS + MP.98.93 1698.77 1899.41 4299.74 8298.67 4899.77 13298.38 14796.73 3799.88 499.74 8794.89 6699.59 14599.80 2499.98 3599.97 67
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
test072699.93 2799.29 1499.96 2598.42 13297.28 1999.86 599.94 497.22 18
xiu_mvs_v2_base98.23 6597.97 6799.02 8098.69 14898.66 5099.52 18398.08 19497.05 2799.86 599.86 3190.65 16999.71 13499.39 4798.63 13698.69 212
PS-MVSNAJ98.44 4898.20 5299.16 6298.80 14498.92 2799.54 18198.17 18397.34 1799.85 799.85 3591.20 15899.89 8499.41 4699.67 10198.69 212
旧先验299.46 19494.21 12399.85 799.95 6596.96 143
IU-MVS99.93 2799.31 998.41 13697.71 899.84 9100.00 1100.00 1100.00 1
ETH3 D test640098.81 2398.54 2899.59 2199.93 2798.93 2699.93 6798.46 10794.56 10599.84 999.92 1394.32 8599.86 9599.96 999.98 35100.00 1
DVP-MVScopyleft99.30 499.16 399.73 1199.93 2799.29 1499.95 4398.32 16097.28 1999.83 1199.91 1597.22 18100.00 199.99 5100.00 199.89 94
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_THIRD96.48 4399.83 1199.91 1597.87 4100.00 199.92 13100.00 1100.00 1
xxxxxxxxxxxxxcwj98.98 1598.79 1799.54 2699.82 7098.79 3799.96 2597.52 24397.66 1099.81 1399.89 2194.70 6999.86 9599.84 1999.93 6799.96 74
SF-MVS98.67 3198.40 3799.50 3299.77 7898.67 4899.90 7998.21 17793.53 15199.81 1399.89 2194.70 6999.86 9599.84 1999.93 6799.96 74
ETH3D-3000-0.198.68 3098.42 3399.47 3799.83 6898.57 5599.90 7998.37 15093.81 14299.81 1399.90 1994.34 8199.86 9599.84 1999.98 3599.97 67
SD-MVS98.92 1798.70 1999.56 2499.70 9098.73 4599.94 6198.34 15796.38 4899.81 1399.76 7694.59 7199.98 4699.84 1999.96 5299.97 67
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
DVP-MVS++99.26 699.09 999.77 899.91 4499.31 999.95 4398.43 12096.48 4399.80 1799.93 1197.44 13100.00 199.92 1399.98 35100.00 1
PC_three_145296.96 3099.80 1799.79 6497.49 9100.00 199.99 599.98 35100.00 1
SED-MVS99.28 599.11 799.77 899.93 2799.30 1199.96 2598.43 12097.27 2199.80 1799.94 496.71 23100.00 1100.00 1100.00 1100.00 1
test_241102_TWO98.43 12097.27 2199.80 1799.94 497.18 20100.00 1100.00 1100.00 1100.00 1
test_241102_ONE99.93 2799.30 1198.43 12097.26 2399.80 1799.88 2496.71 23100.00 1
MSLP-MVS++99.13 899.01 1199.49 3499.94 1498.46 6399.98 998.86 4797.10 2699.80 1799.94 495.92 37100.00 199.51 40100.00 1100.00 1
SteuartSystems-ACMMP99.02 1298.97 1399.18 5798.72 14797.71 8799.98 998.44 11296.85 3199.80 1799.91 1597.57 699.85 9999.44 4499.99 2299.99 24
Skip Steuart: Steuart Systems R&D Blog.
testdata98.42 12399.47 10795.33 17698.56 7993.78 14499.79 2499.85 3593.64 10699.94 7394.97 16799.94 61100.00 1
9.1498.38 4099.87 5799.91 7598.33 15893.22 15999.78 2599.89 2194.57 7299.85 9999.84 1999.97 48
SMA-MVScopyleft98.76 2798.48 3199.62 1899.87 5798.87 3199.86 10498.38 14793.19 16099.77 2699.94 495.54 44100.00 199.74 3099.99 22100.00 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
CDPH-MVS98.65 3298.36 4499.49 3499.94 1498.73 4599.87 9398.33 15893.97 13499.76 2799.87 2894.99 6299.75 12698.55 91100.00 199.98 55
test_one_060199.94 1499.30 1198.41 13696.63 4099.75 2899.93 1197.49 9
APD-MVScopyleft98.62 3398.35 4599.41 4299.90 4798.51 6099.87 9398.36 15294.08 12799.74 2999.73 8994.08 9399.74 13099.42 4599.99 2299.99 24
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
ETH3D cwj APD-0.1698.40 5298.07 6299.40 4499.59 9698.41 6499.86 10498.24 17392.18 19999.73 3099.87 2893.47 10899.85 9999.74 3099.95 5599.93 85
test_prior398.99 1498.84 1699.43 3899.94 1498.49 6199.95 4398.65 6295.78 6499.73 3099.76 7696.00 3399.80 11199.78 26100.00 199.99 24
test_prior299.95 4395.78 6499.73 3099.76 7696.00 3399.78 26100.00 1
testtj98.89 1998.69 2099.52 2999.94 1498.56 5799.90 7998.55 8595.14 8499.72 3399.84 4895.46 47100.00 199.65 3899.99 2299.99 24
TEST999.92 3698.92 2799.96 2598.43 12093.90 13999.71 3499.86 3195.88 3899.85 99
train_agg98.88 2098.65 2299.59 2199.92 3698.92 2799.96 2598.43 12094.35 11599.71 3499.86 3195.94 3599.85 9999.69 3799.98 3599.99 24
test_899.92 3698.88 3099.96 2598.43 12094.35 11599.69 3699.85 3595.94 3599.85 99
CS-MVS97.79 8397.91 7397.43 16399.10 12094.42 20099.99 397.10 28495.07 8599.68 3799.75 8292.95 12498.34 21498.38 9699.14 12799.54 152
test1299.43 3899.74 8298.56 5798.40 14099.65 3894.76 6799.75 12699.98 3599.99 24
DPE-MVScopyleft99.26 699.10 899.74 1099.89 5099.24 1899.87 9398.44 11297.48 1699.64 3999.94 496.68 2599.99 4099.99 5100.00 199.99 24
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
agg_prior198.88 2098.66 2199.54 2699.93 2798.77 4099.96 2598.43 12094.63 10399.63 4099.85 3595.79 4199.85 9999.72 3499.99 2299.99 24
agg_prior99.93 2798.77 4098.43 12099.63 4099.85 99
DROMVSNet97.38 10097.24 9397.80 14497.41 21695.64 16999.99 397.06 28994.59 10499.63 4099.32 13089.20 18998.14 22898.76 7999.23 12499.62 133
xiu_mvs_v1_base_debu97.43 9397.06 9998.55 11097.74 20098.14 7199.31 21397.86 21496.43 4599.62 4399.69 9885.56 22199.68 13899.05 5698.31 14397.83 221
CS-MVS-test97.88 7697.94 7197.70 15299.28 11595.20 18399.98 997.15 27995.53 7599.62 4399.79 6492.08 14798.38 21098.75 8099.28 12299.52 156
xiu_mvs_v1_base97.43 9397.06 9998.55 11097.74 20098.14 7199.31 21397.86 21496.43 4599.62 4399.69 9885.56 22199.68 13899.05 5698.31 14397.83 221
xiu_mvs_v1_base_debi97.43 9397.06 9998.55 11097.74 20098.14 7199.31 21397.86 21496.43 4599.62 4399.69 9885.56 22199.68 13899.05 5698.31 14397.83 221
原ACMM198.96 8599.73 8696.99 11998.51 9994.06 13099.62 4399.85 3594.97 6399.96 5895.11 16499.95 5599.92 91
PHI-MVS98.41 5098.21 5199.03 7899.86 5997.10 11699.98 998.80 5290.78 23899.62 4399.78 7095.30 50100.00 199.80 2499.93 6799.99 24
DPM-MVS98.83 2298.46 3299.97 199.33 11399.92 199.96 2598.44 11297.96 799.55 4999.94 497.18 20100.00 193.81 20099.94 6199.98 55
新几何199.42 4199.75 8198.27 6998.63 6892.69 17799.55 4999.82 5594.40 75100.00 191.21 23499.94 6199.99 24
ACMMP_NAP98.49 4498.14 5699.54 2699.66 9398.62 5499.85 10798.37 15094.68 10099.53 5199.83 5192.87 126100.00 198.66 8799.84 8499.99 24
112198.03 7197.57 8399.40 4499.74 8298.21 7098.31 29898.62 6992.78 17299.53 5199.83 5195.08 54100.00 194.36 18799.92 7199.99 24
PMMVS96.76 12196.76 11096.76 18498.28 16692.10 25199.91 7597.98 20194.12 12599.53 5199.39 12686.93 21098.73 18296.95 14497.73 15799.45 165
FOURS199.92 3697.66 9199.95 4398.36 15295.58 7399.52 54
MSP-MVS99.09 999.12 598.98 8399.93 2797.24 10999.95 4398.42 13297.50 1599.52 5499.88 2497.43 1599.71 13499.50 4199.98 35100.00 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
test_part299.89 5099.25 1799.49 56
APDe-MVS99.06 1198.91 1499.51 3199.94 1498.76 4499.91 7598.39 14397.20 2599.46 5799.85 3595.53 4699.79 11499.86 18100.00 199.99 24
region2R98.54 4098.37 4299.05 7699.96 897.18 11299.96 2598.55 8594.87 9499.45 5899.85 3594.07 94100.00 198.67 84100.00 199.98 55
HPM-MVS++copyleft99.07 1098.88 1599.63 1599.90 4799.02 2399.95 4398.56 7997.56 1499.44 5999.85 3595.38 49100.00 199.31 4999.99 2299.87 98
MVSFormer96.94 11396.60 11497.95 14097.28 22697.70 8999.55 17997.27 26991.17 22799.43 6099.54 11490.92 16596.89 29194.67 18199.62 10499.25 186
lupinMVS97.85 7897.60 8198.62 10397.28 22697.70 8999.99 397.55 23795.50 7799.43 6099.67 10290.92 16598.71 18498.40 9599.62 10499.45 165
Regformer-198.79 2598.60 2599.36 4899.85 6098.34 6699.87 9398.52 9296.05 5799.41 6299.79 6494.93 6499.76 12399.07 5599.90 7699.99 24
Regformer-298.78 2698.59 2699.36 4899.85 6098.32 6799.87 9398.52 9296.04 5899.41 6299.79 6494.92 6599.76 12399.05 5699.90 7699.98 55
XVS98.70 2998.55 2799.15 6499.94 1497.50 9999.94 6198.42 13296.22 5399.41 6299.78 7094.34 8199.96 5898.92 6699.95 5599.99 24
X-MVStestdata93.83 19792.06 22699.15 6499.94 1497.50 9999.94 6198.42 13296.22 5399.41 6241.37 37794.34 8199.96 5898.92 6699.95 5599.99 24
SR-MVS-dyc-post98.31 5798.17 5498.71 9699.79 7596.37 14099.76 13798.31 16294.43 11099.40 6699.75 8293.28 11599.78 11698.90 6999.92 7199.97 67
RE-MVS-def98.13 5799.79 7596.37 14099.76 13798.31 16294.43 11099.40 6699.75 8292.95 12498.90 6999.92 7199.97 67
APD-MVS_3200maxsize98.25 6398.08 6198.78 9299.81 7396.60 13199.82 11898.30 16593.95 13699.37 6899.77 7292.84 12799.76 12398.95 6399.92 7199.97 67
PGM-MVS98.34 5598.13 5798.99 8299.92 3697.00 11899.75 14099.50 1793.90 13999.37 6899.76 7693.24 118100.00 197.75 12699.96 5299.98 55
SR-MVS98.46 4698.30 4898.93 8799.88 5497.04 11799.84 11198.35 15594.92 9199.32 7099.80 6093.35 11099.78 11699.30 5099.95 5599.96 74
ZD-MVS99.92 3698.57 5598.52 9292.34 19599.31 7199.83 5195.06 5699.80 11199.70 3699.97 48
HFP-MVS98.56 3898.37 4299.14 6699.96 897.43 10499.95 4398.61 7194.77 9699.31 7199.85 3594.22 88100.00 198.70 8299.98 3599.98 55
#test#98.59 3698.41 3599.14 6699.96 897.43 10499.95 4398.61 7195.00 8799.31 7199.85 3594.22 88100.00 198.78 7799.98 3599.98 55
ACMMPR98.50 4398.32 4699.05 7699.96 897.18 11299.95 4398.60 7394.77 9699.31 7199.84 4893.73 103100.00 198.70 8299.98 3599.98 55
ETV-MVS97.92 7597.80 7698.25 13098.14 17796.48 13499.98 997.63 22695.61 7299.29 7599.46 12092.55 13598.82 17499.02 6298.54 13799.46 163
test22299.55 10197.41 10799.34 20998.55 8591.86 20899.27 7699.83 5193.84 10199.95 5599.99 24
abl_697.67 8897.34 9098.66 10099.68 9196.11 15499.68 15698.14 18993.80 14399.27 7699.70 9588.65 19699.98 4697.46 13099.72 9899.89 94
test117298.38 5498.25 4998.77 9399.88 5496.56 13399.80 12598.36 15294.68 10099.20 7899.80 6093.28 11599.78 11699.34 4899.92 7199.98 55
CANet_DTU96.76 12196.15 12598.60 10598.78 14597.53 9599.84 11197.63 22697.25 2499.20 7899.64 10681.36 25499.98 4692.77 22098.89 13098.28 215
EPNet98.49 4498.40 3798.77 9399.62 9596.80 12699.90 7999.51 1697.60 1299.20 7899.36 12993.71 10499.91 7997.99 11398.71 13599.61 136
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
DeepPCF-MVS95.94 297.71 8798.98 1293.92 27599.63 9481.76 35299.96 2598.56 7999.47 199.19 8199.99 194.16 92100.00 199.92 1399.93 67100.00 1
VNet97.21 10696.57 11699.13 7198.97 12897.82 8599.03 24599.21 2894.31 11899.18 8298.88 17186.26 21699.89 8498.93 6594.32 21499.69 119
MCST-MVS99.32 399.14 499.86 599.97 399.59 599.97 1898.64 6598.47 299.13 8399.92 1396.38 30100.00 199.74 30100.00 1100.00 1
DeepC-MVS_fast96.59 198.81 2398.54 2899.62 1899.90 4798.85 3399.24 22298.47 10598.14 499.08 8499.91 1593.09 121100.00 199.04 6099.99 22100.00 1
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
114514_t97.41 9896.83 10799.14 6699.51 10597.83 8499.89 8798.27 17088.48 27599.06 8599.66 10490.30 17399.64 14496.32 15199.97 4899.96 74
PVSNet91.05 1397.13 10796.69 11298.45 12099.52 10395.81 16099.95 4399.65 1194.73 9899.04 8699.21 14184.48 23199.95 6594.92 16998.74 13499.58 145
CHOSEN 280x42099.01 1399.03 1098.95 8699.38 11198.87 3198.46 29199.42 2197.03 2899.02 8799.09 14599.35 198.21 22699.73 3399.78 9499.77 110
Regformer-398.58 3798.41 3599.10 7299.84 6597.57 9399.66 15998.52 9295.79 6399.01 8899.77 7294.40 7599.75 12698.82 7399.83 8599.98 55
Regformer-498.56 3898.39 3999.08 7499.84 6597.52 9699.66 15998.52 9295.76 6699.01 8899.77 7294.33 8499.75 12698.80 7699.83 8599.98 55
MG-MVS98.91 1898.65 2299.68 1499.94 1499.07 2299.64 16699.44 1997.33 1899.00 9099.72 9194.03 9599.98 4698.73 81100.00 1100.00 1
diffmvs97.00 11196.64 11398.09 13697.64 20796.17 15099.81 12097.19 27394.67 10298.95 9199.28 13186.43 21498.76 18098.37 9797.42 16599.33 179
HPM-MVS_fast97.80 8297.50 8498.68 9899.79 7596.42 13699.88 9098.16 18691.75 21398.94 9299.54 11491.82 15399.65 14397.62 12899.99 2299.99 24
dcpmvs_297.42 9798.09 6095.42 21999.58 10087.24 32399.23 22396.95 30194.28 12098.93 9399.73 8994.39 7999.16 16499.89 1799.82 9199.86 100
CP-MVS98.45 4798.32 4698.87 8999.96 896.62 13099.97 1898.39 14394.43 11098.90 9499.87 2894.30 86100.00 199.04 6099.99 2299.99 24
MVS_Test96.46 13395.74 14498.61 10498.18 17497.23 11099.31 21397.15 27991.07 23198.84 9597.05 23488.17 19998.97 17094.39 18697.50 16299.61 136
API-MVS97.86 7797.66 7898.47 11899.52 10395.41 17499.47 19298.87 4691.68 21498.84 9599.85 3592.34 14199.99 4098.44 9499.96 52100.00 1
GST-MVS98.27 6097.97 6799.17 6099.92 3697.57 9399.93 6798.39 14394.04 13298.80 9799.74 8792.98 123100.00 198.16 10399.76 9599.93 85
MVS_111021_LR98.42 4998.38 4098.53 11599.39 11095.79 16199.87 9399.86 296.70 3898.78 9899.79 6492.03 14899.90 8099.17 5299.86 8399.88 96
h-mvs3394.92 17194.36 17496.59 19198.85 14191.29 27298.93 25598.94 3795.90 6098.77 9998.42 20090.89 16799.77 12097.80 11970.76 34998.72 211
hse-mvs294.38 18894.08 18195.31 22398.27 16890.02 29499.29 21898.56 7995.90 6098.77 9998.00 20990.89 16798.26 22497.80 11969.20 35597.64 226
TSAR-MVS + GP.98.60 3498.51 3098.86 9099.73 8696.63 12999.97 1897.92 20898.07 598.76 10199.55 11295.00 6199.94 7399.91 1697.68 15999.99 24
sss97.57 9097.03 10399.18 5798.37 16198.04 7699.73 14899.38 2293.46 15398.76 10199.06 14791.21 15799.89 8496.33 15097.01 17599.62 133
CostFormer96.10 14495.88 14196.78 18397.03 23392.55 24397.08 32797.83 21790.04 25098.72 10394.89 31195.01 6098.29 21896.54 14995.77 19799.50 160
tpmrst96.27 14395.98 13197.13 17497.96 18493.15 22796.34 33698.17 18392.07 20298.71 10495.12 30293.91 9898.73 18294.91 17196.62 18099.50 160
MVS_111021_HR98.72 2898.62 2499.01 8199.36 11297.18 11299.93 6799.90 196.81 3598.67 10599.77 7293.92 9799.89 8499.27 5199.94 6199.96 74
MAR-MVS97.43 9397.19 9598.15 13599.47 10794.79 19499.05 24398.76 5392.65 18098.66 10699.82 5588.52 19799.98 4698.12 10599.63 10399.67 122
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
Effi-MVS+96.30 14095.69 14598.16 13297.85 19296.26 14397.41 32097.21 27290.37 24398.65 10798.58 19086.61 21398.70 18597.11 13897.37 16799.52 156
HPM-MVScopyleft97.96 7297.72 7798.68 9899.84 6596.39 13999.90 7998.17 18392.61 18298.62 10899.57 11191.87 15199.67 14198.87 7199.99 2299.99 24
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
mPP-MVS98.39 5398.20 5298.97 8499.97 396.92 12299.95 4398.38 14795.04 8698.61 10999.80 6093.39 109100.00 198.64 88100.00 199.98 55
jason97.24 10496.86 10698.38 12695.73 27297.32 10899.97 1897.40 25895.34 8098.60 11099.54 11487.70 20198.56 19197.94 11699.47 11599.25 186
jason: jason.
CANet98.27 6097.82 7599.63 1599.72 8899.10 2199.98 998.51 9997.00 2998.52 11199.71 9387.80 20099.95 6599.75 2899.38 11999.83 102
EI-MVSNet-Vis-set98.27 6098.11 5998.75 9599.83 6896.59 13299.40 19998.51 9995.29 8198.51 11299.76 7693.60 10799.71 13498.53 9299.52 11299.95 82
ZNCC-MVS98.31 5798.03 6399.17 6099.88 5497.59 9299.94 6198.44 11294.31 11898.50 11399.82 5593.06 12299.99 4098.30 10099.99 2299.93 85
LFMVS94.75 17693.56 19498.30 12899.03 12395.70 16798.74 27597.98 20187.81 28498.47 11499.39 12667.43 33899.53 14698.01 11195.20 20899.67 122
tpm295.47 16195.18 15896.35 20096.91 23891.70 26596.96 33097.93 20688.04 28198.44 11595.40 28893.32 11297.97 23794.00 19595.61 20199.38 172
alignmvs97.81 8197.33 9199.25 5298.77 14698.66 5099.99 398.44 11294.40 11498.41 11699.47 11893.65 10599.42 15698.57 9094.26 21599.67 122
UA-Net96.54 13095.96 13698.27 12998.23 17195.71 16698.00 31298.45 10993.72 14798.41 11699.27 13488.71 19599.66 14291.19 23597.69 15899.44 167
DP-MVS Recon98.41 5098.02 6499.56 2499.97 398.70 4799.92 7198.44 11292.06 20498.40 11899.84 4895.68 42100.00 198.19 10199.71 9999.97 67
CPTT-MVS97.64 8997.32 9298.58 10899.97 395.77 16299.96 2598.35 15589.90 25198.36 11999.79 6491.18 16199.99 4098.37 9799.99 2299.99 24
PAPM98.60 3498.42 3399.14 6696.05 26098.96 2499.90 7999.35 2496.68 3998.35 12099.66 10496.45 2998.51 19499.45 4399.89 7899.96 74
HY-MVS92.50 797.79 8397.17 9899.63 1598.98 12799.32 897.49 31999.52 1495.69 7098.32 12197.41 22193.32 11299.77 12098.08 10995.75 19999.81 104
EI-MVSNet-UG-set98.14 6797.99 6698.60 10599.80 7496.27 14299.36 20898.50 10395.21 8398.30 12299.75 8293.29 11499.73 13398.37 9799.30 12199.81 104
PVSNet_BlendedMVS96.05 14595.82 14396.72 18699.59 9696.99 11999.95 4399.10 2994.06 13098.27 12395.80 26989.00 19199.95 6599.12 5387.53 26193.24 324
PVSNet_Blended97.94 7397.64 7998.83 9199.59 9696.99 119100.00 199.10 2995.38 7898.27 12399.08 14689.00 19199.95 6599.12 5399.25 12399.57 146
MP-MVScopyleft98.23 6597.97 6799.03 7899.94 1497.17 11599.95 4398.39 14394.70 9998.26 12599.81 5991.84 152100.00 198.85 7299.97 4899.93 85
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
WTY-MVS98.10 6997.60 8199.60 2098.92 13499.28 1699.89 8799.52 1495.58 7398.24 12699.39 12693.33 11199.74 13097.98 11595.58 20299.78 109
DELS-MVS98.54 4098.22 5099.50 3299.15 11998.65 52100.00 198.58 7597.70 998.21 12799.24 13992.58 13499.94 7398.63 8999.94 6199.92 91
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
DWT-MVSNet_test97.31 10197.19 9597.66 15398.24 17094.67 19698.86 26498.20 18193.60 15098.09 12898.89 16997.51 798.78 17794.04 19497.28 16899.55 148
MDTV_nov1_ep13_2view96.26 14396.11 34091.89 20798.06 12994.40 7594.30 19099.67 122
PAPR98.52 4298.16 5599.58 2399.97 398.77 4099.95 4398.43 12095.35 7998.03 13099.75 8294.03 9599.98 4698.11 10699.83 8599.99 24
MDTV_nov1_ep1395.69 14597.90 18794.15 20495.98 34298.44 11293.12 16297.98 13195.74 27195.10 5398.58 19090.02 25896.92 177
test250697.53 9197.19 9598.58 10898.66 15096.90 12398.81 27099.77 594.93 8997.95 13298.96 16092.51 13699.20 16094.93 16898.15 14799.64 128
GG-mvs-BLEND98.54 11398.21 17298.01 7793.87 35198.52 9297.92 13397.92 21399.02 297.94 24298.17 10299.58 10999.67 122
EIA-MVS97.53 9197.46 8597.76 14998.04 18194.84 19199.98 997.61 23194.41 11397.90 13499.59 10992.40 13998.87 17298.04 11099.13 12899.59 139
test_yl97.83 7997.37 8899.21 5499.18 11697.98 7999.64 16699.27 2691.43 22397.88 13598.99 15495.84 3999.84 10898.82 7395.32 20699.79 106
DCV-MVSNet97.83 7997.37 8899.21 5499.18 11697.98 7999.64 16699.27 2691.43 22397.88 13598.99 15495.84 3999.84 10898.82 7395.32 20699.79 106
canonicalmvs97.09 11096.32 12299.39 4698.93 13298.95 2599.72 15197.35 26194.45 10897.88 13599.42 12286.71 21199.52 14798.48 9393.97 21999.72 116
VDDNet93.12 21491.91 22996.76 18496.67 25392.65 24198.69 28098.21 17782.81 33597.75 13899.28 13161.57 35499.48 15498.09 10894.09 21798.15 217
EPMVS96.53 13196.01 12898.09 13698.43 16096.12 15396.36 33599.43 2093.53 15197.64 13995.04 30494.41 7498.38 21091.13 23698.11 15099.75 112
JIA-IIPM91.76 24890.70 24894.94 23496.11 25887.51 32193.16 35498.13 19175.79 35597.58 14077.68 36692.84 12797.97 23788.47 27296.54 18199.33 179
EPNet_dtu95.71 15495.39 15196.66 18898.92 13493.41 22399.57 17598.90 4296.19 5597.52 14198.56 19292.65 13297.36 25977.89 33998.33 14299.20 189
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
PAPM_NR98.12 6897.93 7298.70 9799.94 1496.13 15199.82 11898.43 12094.56 10597.52 14199.70 9594.40 7599.98 4697.00 14199.98 3599.99 24
thisisatest051597.41 9897.02 10498.59 10797.71 20697.52 9699.97 1898.54 8991.83 20997.45 14399.04 14897.50 899.10 16694.75 17796.37 18699.16 191
OMC-MVS97.28 10297.23 9497.41 16499.76 7993.36 22699.65 16297.95 20496.03 5997.41 14499.70 9589.61 18099.51 14896.73 14898.25 14699.38 172
gg-mvs-nofinetune93.51 20791.86 23198.47 11897.72 20497.96 8192.62 35598.51 9974.70 35897.33 14569.59 36998.91 397.79 24597.77 12499.56 11099.67 122
PatchT90.38 27288.75 28695.25 22695.99 26290.16 29191.22 36297.54 23976.80 35197.26 14686.01 36191.88 15096.07 32566.16 36295.91 19499.51 158
PLCcopyleft95.54 397.93 7497.89 7498.05 13899.82 7094.77 19599.92 7198.46 10793.93 13797.20 14799.27 13495.44 4899.97 5697.41 13199.51 11499.41 170
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
zzz-MVS98.33 5698.00 6599.30 5099.85 6097.93 8299.80 12598.28 16795.76 6697.18 14899.88 2492.74 130100.00 198.67 8499.88 8099.99 24
MTAPA98.29 5997.96 7099.30 5099.85 6097.93 8299.39 20398.28 16795.76 6697.18 14899.88 2492.74 130100.00 198.67 8499.88 8099.99 24
PatchmatchNetpermissive95.94 14895.45 14997.39 16697.83 19394.41 20196.05 34198.40 14092.86 16697.09 15095.28 29994.21 9198.07 23389.26 26498.11 15099.70 117
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
thisisatest053097.10 10896.72 11198.22 13197.60 20996.70 12799.92 7198.54 8991.11 23097.07 15198.97 15897.47 1199.03 16793.73 20596.09 18998.92 201
CR-MVSNet93.45 21092.62 21295.94 20896.29 25592.66 23992.01 35896.23 33292.62 18196.94 15293.31 33591.04 16296.03 32679.23 33295.96 19299.13 195
RPMNet89.76 28687.28 30197.19 17396.29 25592.66 23992.01 35898.31 16270.19 36396.94 15285.87 36287.25 20699.78 11662.69 36595.96 19299.13 195
baseline96.43 13495.98 13197.76 14997.34 22095.17 18499.51 18597.17 27693.92 13896.90 15499.28 13185.37 22498.64 18897.50 12996.86 17999.46 163
ECVR-MVScopyleft95.66 15695.05 16197.51 15998.66 15093.71 21598.85 26798.45 10994.93 8996.86 15598.96 16075.22 30599.20 16095.34 16198.15 14799.64 128
Vis-MVSNetpermissive95.72 15295.15 15997.45 16197.62 20894.28 20399.28 21998.24 17394.27 12296.84 15698.94 16679.39 27398.76 18093.25 21198.49 13899.30 182
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
VDD-MVS93.77 20192.94 20796.27 20198.55 15490.22 29098.77 27497.79 21990.85 23696.82 15799.42 12261.18 35699.77 12098.95 6394.13 21698.82 207
UGNet95.33 16394.57 17197.62 15698.55 15494.85 19098.67 28299.32 2595.75 6996.80 15896.27 26072.18 31999.96 5894.58 18399.05 12998.04 219
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
AdaColmapbinary97.23 10596.80 10998.51 11699.99 195.60 17099.09 23298.84 4993.32 15696.74 15999.72 9186.04 217100.00 198.01 11199.43 11899.94 84
tpm93.70 20593.41 20094.58 24795.36 28387.41 32297.01 32896.90 30890.85 23696.72 16094.14 32790.40 17296.84 29490.75 24888.54 25099.51 158
test111195.57 15894.98 16397.37 16798.56 15293.37 22598.86 26498.45 10994.95 8896.63 16198.95 16475.21 30699.11 16595.02 16698.14 14999.64 128
tttt051796.85 11696.49 11897.92 14297.48 21595.89 15999.85 10798.54 8990.72 23996.63 16198.93 16897.47 1199.02 16893.03 21895.76 19898.85 205
mvs-test195.53 15995.97 13494.20 26397.77 19785.44 33499.95 4397.06 28994.92 9196.58 16398.72 18185.81 21898.98 16994.80 17498.11 15098.18 216
casdiffmvs96.42 13595.97 13497.77 14897.30 22494.98 18799.84 11197.09 28693.75 14696.58 16399.26 13785.07 22798.78 17797.77 12497.04 17499.54 152
CNLPA97.76 8597.38 8798.92 8899.53 10296.84 12499.87 9398.14 18993.78 14496.55 16599.69 9892.28 14299.98 4697.13 13799.44 11799.93 85
PatchMatch-RL96.04 14695.40 15097.95 14099.59 9695.22 18299.52 18399.07 3293.96 13596.49 16698.35 20182.28 24499.82 11090.15 25799.22 12598.81 208
MP-MVS-pluss98.07 7097.64 7999.38 4799.74 8298.41 6499.74 14398.18 18293.35 15596.45 16799.85 3592.64 13399.97 5698.91 6899.89 7899.77 110
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ADS-MVSNet293.80 20093.88 18693.55 28797.87 19085.94 33094.24 34796.84 31290.07 24896.43 16894.48 32290.29 17495.37 33487.44 28297.23 16999.36 175
ADS-MVSNet94.79 17394.02 18297.11 17697.87 19093.79 21294.24 34798.16 18690.07 24896.43 16894.48 32290.29 17498.19 22787.44 28297.23 16999.36 175
ACMMPcopyleft97.74 8697.44 8698.66 10099.92 3696.13 15199.18 22799.45 1894.84 9596.41 17099.71 9391.40 15599.99 4097.99 11398.03 15599.87 98
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
PVSNet_Blended_VisFu97.27 10396.81 10898.66 10098.81 14396.67 12899.92 7198.64 6594.51 10796.38 17198.49 19489.05 19099.88 9097.10 13998.34 14199.43 168
AUN-MVS93.28 21192.60 21395.34 22198.29 16490.09 29399.31 21398.56 7991.80 21296.35 17298.00 20989.38 18398.28 22092.46 22169.22 35497.64 226
thres20096.96 11296.21 12499.22 5398.97 12898.84 3499.85 10799.71 693.17 16196.26 17398.88 17189.87 17899.51 14894.26 19194.91 20999.31 181
HyFIR lowres test96.66 12896.43 12097.36 16999.05 12293.91 21199.70 15399.80 390.54 24096.26 17398.08 20692.15 14598.23 22596.84 14795.46 20399.93 85
SCA94.69 17793.81 18897.33 17197.10 22994.44 19898.86 26498.32 16093.30 15796.17 17595.59 27876.48 29397.95 24091.06 23897.43 16399.59 139
tfpn200view996.79 11995.99 12999.19 5698.94 13098.82 3599.78 12999.71 692.86 16696.02 17698.87 17389.33 18499.50 15093.84 19794.57 21099.27 184
thres40096.78 12095.99 12999.16 6298.94 13098.82 3599.78 12999.71 692.86 16696.02 17698.87 17389.33 18499.50 15093.84 19794.57 21099.16 191
dp95.05 16894.43 17396.91 17997.99 18392.73 23796.29 33797.98 20189.70 25495.93 17894.67 31793.83 10298.45 19986.91 29496.53 18299.54 152
thres100view90096.74 12395.92 13999.18 5798.90 13798.77 4099.74 14399.71 692.59 18495.84 17998.86 17589.25 18699.50 15093.84 19794.57 21099.27 184
thres600view796.69 12695.87 14299.14 6698.90 13798.78 3999.74 14399.71 692.59 18495.84 17998.86 17589.25 18699.50 15093.44 21094.50 21399.16 191
EPP-MVSNet96.69 12696.60 11496.96 17897.74 20093.05 23099.37 20698.56 7988.75 26995.83 18199.01 15196.01 3298.56 19196.92 14597.20 17199.25 186
TESTMET0.1,196.74 12396.26 12398.16 13297.36 21996.48 13499.96 2598.29 16691.93 20695.77 18298.07 20795.54 4498.29 21890.55 24998.89 13099.70 117
F-COLMAP96.93 11496.95 10596.87 18199.71 8991.74 26199.85 10797.95 20493.11 16395.72 18399.16 14392.35 14099.94 7395.32 16299.35 12098.92 201
test-LLR96.47 13296.04 12797.78 14697.02 23495.44 17299.96 2598.21 17794.07 12895.55 18496.38 25593.90 9998.27 22290.42 25298.83 13299.64 128
test-mter96.39 13695.93 13897.78 14697.02 23495.44 17299.96 2598.21 17791.81 21195.55 18496.38 25595.17 5198.27 22290.42 25298.83 13299.64 128
IS-MVSNet96.29 14195.90 14097.45 16198.13 17894.80 19399.08 23497.61 23192.02 20595.54 18698.96 16090.64 17098.08 23193.73 20597.41 16699.47 162
CHOSEN 1792x268896.81 11896.53 11797.64 15498.91 13693.07 22899.65 16299.80 395.64 7195.39 18798.86 17584.35 23399.90 8096.98 14299.16 12699.95 82
CDS-MVSNet96.34 13796.07 12697.13 17497.37 21894.96 18899.53 18297.91 20991.55 21895.37 18898.32 20295.05 5797.13 27593.80 20195.75 19999.30 182
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
Effi-MVS+-dtu94.53 18595.30 15492.22 30597.77 19782.54 34599.59 17297.06 28994.92 9195.29 18995.37 29285.81 21897.89 24394.80 17497.07 17396.23 236
CSCG97.10 10897.04 10297.27 17299.89 5091.92 25699.90 7999.07 3288.67 27195.26 19099.82 5593.17 12099.98 4698.15 10499.47 11599.90 93
Vis-MVSNet (Re-imp)96.32 13895.98 13197.35 17097.93 18694.82 19299.47 19298.15 18891.83 20995.09 19199.11 14491.37 15697.47 25693.47 20997.43 16399.74 113
TAMVS95.85 14995.58 14796.65 18997.07 23093.50 22099.17 22897.82 21891.39 22695.02 19298.01 20892.20 14397.30 26493.75 20495.83 19699.14 194
XVG-OURS-SEG-HR94.79 17394.70 17095.08 22998.05 18089.19 30399.08 23497.54 23993.66 14894.87 19399.58 11078.78 27899.79 11497.31 13393.40 22396.25 234
XVG-OURS94.82 17294.74 16995.06 23098.00 18289.19 30399.08 23497.55 23794.10 12694.71 19499.62 10780.51 26599.74 13096.04 15493.06 22796.25 234
ab-mvs94.69 17793.42 19898.51 11698.07 17996.26 14396.49 33498.68 5890.31 24594.54 19597.00 23676.30 29599.71 13495.98 15593.38 22499.56 147
TAPA-MVS92.12 894.42 18793.60 19196.90 18099.33 11391.78 26099.78 12998.00 19889.89 25294.52 19699.47 11891.97 14999.18 16269.90 35599.52 11299.73 114
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TR-MVS94.54 18393.56 19497.49 16097.96 18494.34 20298.71 27897.51 24590.30 24694.51 19798.69 18275.56 30098.77 17992.82 21995.99 19199.35 177
Fast-Effi-MVS+95.02 16994.19 17797.52 15897.88 18894.55 19799.97 1897.08 28788.85 26894.47 19897.96 21284.59 23098.41 20289.84 26097.10 17299.59 139
DeepC-MVS94.51 496.92 11596.40 12198.45 12099.16 11895.90 15899.66 15998.06 19596.37 5194.37 19999.49 11783.29 24099.90 8097.63 12799.61 10799.55 148
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
RPSCF91.80 24592.79 21088.83 33298.15 17669.87 36698.11 30896.60 32583.93 32894.33 20099.27 13479.60 27299.46 15591.99 22593.16 22697.18 230
BH-RMVSNet95.18 16594.31 17697.80 14498.17 17595.23 18199.76 13797.53 24192.52 18994.27 20199.25 13876.84 28998.80 17590.89 24599.54 11199.35 177
CVMVSNet94.68 17994.94 16493.89 27796.80 24686.92 32599.06 23998.98 3594.45 10894.23 20299.02 14985.60 22095.31 33690.91 24495.39 20599.43 168
baseline195.78 15194.86 16598.54 11398.47 15998.07 7499.06 23997.99 19992.68 17894.13 20398.62 18793.28 11598.69 18693.79 20285.76 27098.84 206
Anonymous20240521193.10 21591.99 22796.40 19799.10 12089.65 30098.88 26097.93 20683.71 33094.00 20498.75 18068.79 33099.88 9095.08 16591.71 22999.68 120
cascas94.64 18093.61 18997.74 15197.82 19496.26 14399.96 2597.78 22085.76 31094.00 20497.54 21876.95 28899.21 15997.23 13595.43 20497.76 225
Anonymous2024052992.10 23890.65 24996.47 19298.82 14290.61 28298.72 27798.67 6175.54 35693.90 20698.58 19066.23 34199.90 8094.70 18090.67 23098.90 204
MVS_030489.28 29388.31 29292.21 30697.05 23286.53 32797.76 31799.57 1385.58 31593.86 20792.71 33951.04 36796.30 31684.49 30792.72 22893.79 307
LS3D95.84 15095.11 16098.02 13999.85 6095.10 18598.74 27598.50 10387.22 29193.66 20899.86 3187.45 20499.95 6590.94 24399.81 9399.02 199
GeoE94.36 19193.48 19696.99 17797.29 22593.54 21999.96 2596.72 32188.35 27893.43 20998.94 16682.05 24598.05 23488.12 27796.48 18499.37 174
HQP-NCC95.78 26699.87 9396.82 3293.37 210
ACMP_Plane95.78 26699.87 9396.82 3293.37 210
HQP4-MVS93.37 21098.39 20694.53 240
HQP-MVS94.61 18194.50 17294.92 23595.78 26691.85 25799.87 9397.89 21096.82 3293.37 21098.65 18480.65 26398.39 20697.92 11789.60 23194.53 240
HQP_MVS94.49 18694.36 17494.87 23695.71 27591.74 26199.84 11197.87 21296.38 4893.01 21498.59 18880.47 26798.37 21297.79 12289.55 23494.52 242
plane_prior391.64 26796.63 4093.01 214
GA-MVS93.83 19792.84 20896.80 18295.73 27293.57 21799.88 9097.24 27192.57 18792.92 21696.66 24878.73 27997.67 24987.75 28094.06 21899.17 190
tpm cat193.51 20792.52 21896.47 19297.77 19791.47 27196.13 33998.06 19580.98 34292.91 21793.78 33089.66 17998.87 17287.03 29096.39 18599.09 197
1112_ss96.01 14795.20 15798.42 12397.80 19596.41 13799.65 16296.66 32392.71 17592.88 21899.40 12492.16 14499.30 15791.92 22793.66 22099.55 148
Test_1112_low_res95.72 15294.83 16698.42 12397.79 19696.41 13799.65 16296.65 32492.70 17692.86 21996.13 26492.15 14599.30 15791.88 22893.64 22199.55 148
IB-MVS92.85 694.99 17093.94 18498.16 13297.72 20495.69 16899.99 398.81 5094.28 12092.70 22096.90 23895.08 5499.17 16396.07 15373.88 34799.60 138
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
Fast-Effi-MVS+-dtu93.72 20493.86 18793.29 29097.06 23186.16 32899.80 12596.83 31392.66 17992.58 22197.83 21481.39 25397.67 24989.75 26196.87 17896.05 238
tpmvs94.28 19393.57 19396.40 19798.55 15491.50 27095.70 34698.55 8587.47 28692.15 22294.26 32691.42 15498.95 17188.15 27595.85 19598.76 210
BH-w/o95.71 15495.38 15296.68 18798.49 15892.28 24799.84 11197.50 24692.12 20192.06 22398.79 17984.69 22998.67 18795.29 16399.66 10299.09 197
VPA-MVSNet92.70 22491.55 23696.16 20395.09 28596.20 14898.88 26099.00 3491.02 23391.82 22495.29 29876.05 29997.96 23995.62 16081.19 30494.30 260
baseline296.71 12596.49 11897.37 16795.63 27995.96 15799.74 14398.88 4592.94 16591.61 22598.97 15897.72 598.62 18994.83 17398.08 15497.53 229
OPM-MVS93.21 21292.80 20994.44 25693.12 31890.85 27899.77 13297.61 23196.19 5591.56 22698.65 18475.16 30798.47 19593.78 20389.39 23793.99 292
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
EI-MVSNet93.73 20393.40 20194.74 24096.80 24692.69 23899.06 23997.67 22488.96 26491.39 22799.02 14988.75 19497.30 26491.07 23787.85 25694.22 266
MVSTER95.53 15995.22 15696.45 19498.56 15297.72 8699.91 7597.67 22492.38 19491.39 22797.14 22897.24 1797.30 26494.80 17487.85 25694.34 259
RRT_MVS95.23 16494.77 16896.61 19098.28 16698.32 6799.81 12097.41 25692.59 18491.28 22997.76 21595.02 5897.23 27093.65 20787.14 26394.28 262
BH-untuned95.18 16594.83 16696.22 20298.36 16291.22 27399.80 12597.32 26590.91 23491.08 23098.67 18383.51 23798.54 19394.23 19299.61 10798.92 201
CLD-MVS94.06 19593.90 18594.55 24996.02 26190.69 27999.98 997.72 22196.62 4291.05 23198.85 17877.21 28598.47 19598.11 10689.51 23694.48 244
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MVS96.60 12995.56 14899.72 1296.85 24399.22 1998.31 29898.94 3791.57 21790.90 23299.61 10886.66 21299.96 5897.36 13299.88 8099.99 24
MSDG94.37 18993.36 20297.40 16598.88 13993.95 21099.37 20697.38 25985.75 31290.80 23399.17 14284.11 23599.88 9086.35 29598.43 14098.36 214
VPNet91.81 24290.46 25195.85 21194.74 29195.54 17198.98 24998.59 7492.14 20090.77 23497.44 22068.73 33297.54 25394.89 17277.89 33094.46 245
bset_n11_16_dypcd93.05 21792.30 22195.31 22390.23 35295.05 18699.44 19797.28 26892.51 19090.65 23596.68 24785.30 22596.71 30194.49 18584.14 28594.16 275
MIMVSNet90.30 27588.67 28795.17 22896.45 25491.64 26792.39 35697.15 27985.99 30690.50 23693.19 33766.95 33994.86 34282.01 32293.43 22299.01 200
mvs_anonymous95.65 15795.03 16297.53 15798.19 17395.74 16499.33 21097.49 24790.87 23590.47 23797.10 23088.23 19897.16 27295.92 15697.66 16099.68 120
Patchmatch-test92.65 22791.50 23796.10 20596.85 24390.49 28591.50 36097.19 27382.76 33690.23 23895.59 27895.02 5898.00 23677.41 34196.98 17699.82 103
LPG-MVS_test92.96 21892.71 21193.71 28195.43 28188.67 30999.75 14097.62 22892.81 16990.05 23998.49 19475.24 30398.40 20495.84 15889.12 23894.07 284
LGP-MVS_train93.71 28195.43 28188.67 30997.62 22892.81 16990.05 23998.49 19475.24 30398.40 20495.84 15889.12 23894.07 284
DP-MVS94.54 18393.42 19897.91 14399.46 10994.04 20698.93 25597.48 24881.15 34190.04 24199.55 11287.02 20999.95 6588.97 26698.11 15099.73 114
test_djsdf92.83 22192.29 22294.47 25491.90 33692.46 24499.55 17997.27 26991.17 22789.96 24296.07 26681.10 25696.89 29194.67 18188.91 24094.05 286
ACMM91.95 1092.88 22092.52 21893.98 27495.75 27189.08 30699.77 13297.52 24393.00 16489.95 24397.99 21176.17 29798.46 19893.63 20888.87 24294.39 253
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
131496.84 11795.96 13699.48 3696.74 25098.52 5998.31 29898.86 4795.82 6289.91 24498.98 15687.49 20399.96 5897.80 11999.73 9799.96 74
XVG-ACMP-BASELINE91.22 25590.75 24692.63 30293.73 30785.61 33198.52 29097.44 25192.77 17389.90 24596.85 24266.64 34098.39 20692.29 22388.61 24793.89 300
miper_enhance_ethall94.36 19193.98 18395.49 21598.68 14995.24 18099.73 14897.29 26793.28 15889.86 24695.97 26794.37 8097.05 28192.20 22484.45 28294.19 269
nrg03093.51 20792.53 21796.45 19494.36 29697.20 11199.81 12097.16 27891.60 21689.86 24697.46 21986.37 21597.68 24895.88 15780.31 31694.46 245
V4291.28 25390.12 26294.74 24093.42 31393.46 22199.68 15697.02 29387.36 28889.85 24895.05 30381.31 25597.34 26187.34 28580.07 31893.40 319
v14419290.79 26389.52 27194.59 24693.11 31992.77 23399.56 17796.99 29686.38 30289.82 24994.95 31080.50 26697.10 27883.98 31080.41 31493.90 299
GBi-Net90.88 26089.82 26594.08 26797.53 21191.97 25298.43 29396.95 30187.05 29289.68 25094.72 31371.34 32296.11 32187.01 29185.65 27194.17 270
test190.88 26089.82 26594.08 26797.53 21191.97 25298.43 29396.95 30187.05 29289.68 25094.72 31371.34 32296.11 32187.01 29185.65 27194.17 270
FMVSNet392.69 22591.58 23495.99 20698.29 16497.42 10699.26 22197.62 22889.80 25389.68 25095.32 29481.62 25296.27 31787.01 29185.65 27194.29 261
IterMVS-LS92.69 22592.11 22494.43 25896.80 24692.74 23599.45 19596.89 30988.98 26289.65 25395.38 29188.77 19396.34 31490.98 24282.04 29894.22 266
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v114491.09 25689.83 26494.87 23693.25 31593.69 21699.62 16996.98 29886.83 29889.64 25494.99 30880.94 25897.05 28185.08 30481.16 30593.87 302
v192192090.46 27089.12 27894.50 25292.96 32392.46 24499.49 18996.98 29886.10 30589.61 25595.30 29578.55 28197.03 28582.17 32180.89 31294.01 289
v119290.62 26889.25 27694.72 24293.13 31693.07 22899.50 18797.02 29386.33 30389.56 25695.01 30579.22 27497.09 28082.34 32081.16 30594.01 289
PCF-MVS94.20 595.18 16594.10 18098.43 12298.55 15495.99 15697.91 31497.31 26690.35 24489.48 25799.22 14085.19 22699.89 8490.40 25498.47 13999.41 170
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
3Dnovator91.47 1296.28 14295.34 15399.08 7496.82 24597.47 10299.45 19598.81 5095.52 7689.39 25899.00 15381.97 24699.95 6597.27 13499.83 8599.84 101
v124090.20 27888.79 28594.44 25693.05 32192.27 24899.38 20496.92 30785.89 30789.36 25994.87 31277.89 28497.03 28580.66 32881.08 30894.01 289
FIs94.10 19493.43 19796.11 20494.70 29296.82 12599.58 17398.93 4192.54 18889.34 26097.31 22487.62 20297.10 27894.22 19386.58 26694.40 252
ITE_SJBPF92.38 30395.69 27785.14 33595.71 34292.81 16989.33 26198.11 20570.23 32798.42 20185.91 29988.16 25493.59 316
v2v48291.30 25190.07 26395.01 23193.13 31693.79 21299.77 13297.02 29388.05 28089.25 26295.37 29280.73 26197.15 27387.28 28680.04 31994.09 283
UniMVSNet (Re)93.07 21692.13 22395.88 20994.84 28996.24 14799.88 9098.98 3592.49 19289.25 26295.40 28887.09 20897.14 27493.13 21678.16 32894.26 263
UniMVSNet_NR-MVSNet92.95 21992.11 22495.49 21594.61 29495.28 17899.83 11799.08 3191.49 21989.21 26496.86 24187.14 20796.73 29993.20 21277.52 33394.46 245
DU-MVS92.46 23091.45 23995.49 21594.05 30195.28 17899.81 12098.74 5492.25 19889.21 26496.64 25081.66 25096.73 29993.20 21277.52 33394.46 245
eth_miper_zixun_eth92.41 23191.93 22893.84 27897.28 22690.68 28098.83 26896.97 30088.57 27489.19 26695.73 27389.24 18896.69 30289.97 25981.55 30194.15 277
cl2293.77 20193.25 20595.33 22299.49 10694.43 19999.61 17098.09 19290.38 24289.16 26795.61 27690.56 17197.34 26191.93 22684.45 28294.21 268
Baseline_NR-MVSNet90.33 27489.51 27292.81 30092.84 32489.95 29699.77 13293.94 36484.69 32589.04 26895.66 27581.66 25096.52 30790.99 24176.98 33991.97 342
FC-MVSNet-test93.81 19993.15 20695.80 21294.30 29896.20 14899.42 19898.89 4392.33 19689.03 26997.27 22687.39 20596.83 29593.20 21286.48 26794.36 255
QAPM95.40 16294.17 17899.10 7296.92 23797.71 8799.40 19998.68 5889.31 25688.94 27098.89 16982.48 24399.96 5893.12 21799.83 8599.62 133
miper_ehance_all_eth93.16 21392.60 21394.82 23997.57 21093.56 21899.50 18797.07 28888.75 26988.85 27195.52 28290.97 16496.74 29890.77 24784.45 28294.17 270
AllTest92.48 22991.64 23295.00 23299.01 12488.43 31398.94 25496.82 31586.50 30088.71 27298.47 19874.73 30999.88 9085.39 30196.18 18796.71 232
TestCases95.00 23299.01 12488.43 31396.82 31586.50 30088.71 27298.47 19874.73 30999.88 9085.39 30196.18 18796.71 232
c3_l92.53 22891.87 23094.52 25097.40 21792.99 23199.40 19996.93 30687.86 28288.69 27495.44 28689.95 17796.44 31090.45 25180.69 31394.14 280
pmmvs492.10 23891.07 24495.18 22792.82 32694.96 18899.48 19196.83 31387.45 28788.66 27596.56 25383.78 23696.83 29589.29 26384.77 28093.75 309
PS-MVSNAJss93.64 20693.31 20394.61 24592.11 33392.19 24999.12 23097.38 25992.51 19088.45 27696.99 23791.20 15897.29 26794.36 18787.71 25894.36 255
UniMVSNet_ETH3D90.06 28288.58 28894.49 25394.67 29388.09 31897.81 31697.57 23683.91 32988.44 27797.41 22157.44 36097.62 25191.41 23288.59 24997.77 224
TranMVSNet+NR-MVSNet91.68 24990.61 25094.87 23693.69 30893.98 20999.69 15498.65 6291.03 23288.44 27796.83 24580.05 27096.18 32090.26 25676.89 34194.45 250
FMVSNet291.02 25789.56 26995.41 22097.53 21195.74 16498.98 24997.41 25687.05 29288.43 27995.00 30771.34 32296.24 31985.12 30385.21 27694.25 265
COLMAP_ROBcopyleft90.47 1492.18 23691.49 23894.25 26299.00 12688.04 31998.42 29696.70 32282.30 33888.43 27999.01 15176.97 28799.85 9986.11 29896.50 18394.86 239
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
3Dnovator+91.53 1196.31 13995.24 15599.52 2996.88 24298.64 5399.72 15198.24 17395.27 8288.42 28198.98 15682.76 24299.94 7397.10 13999.83 8599.96 74
RRT_test8_iter0594.58 18294.11 17995.98 20797.88 18896.11 15499.89 8797.45 24991.66 21588.28 28296.71 24696.53 2897.40 25794.73 17983.85 29094.45 250
v14890.70 26489.63 26793.92 27592.97 32290.97 27599.75 14096.89 30987.51 28588.27 28395.01 30581.67 24997.04 28387.40 28477.17 33893.75 309
DSMNet-mixed88.28 29988.24 29488.42 33689.64 35575.38 36498.06 31089.86 37285.59 31488.20 28492.14 34676.15 29891.95 36078.46 33796.05 19097.92 220
WR-MVS92.31 23391.25 24195.48 21894.45 29595.29 17799.60 17198.68 5890.10 24788.07 28596.89 23980.68 26296.80 29793.14 21579.67 32094.36 255
test0.0.03 193.86 19693.61 18994.64 24495.02 28892.18 25099.93 6798.58 7594.07 12887.96 28698.50 19393.90 9994.96 34081.33 32593.17 22596.78 231
XXY-MVS91.82 24190.46 25195.88 20993.91 30495.40 17598.87 26397.69 22388.63 27387.87 28797.08 23174.38 31297.89 24391.66 23084.07 28794.35 258
Patchmtry89.70 28788.49 28993.33 28996.24 25789.94 29891.37 36196.23 33278.22 34987.69 28893.31 33591.04 16296.03 32680.18 33182.10 29794.02 287
DIV-MVS_self_test92.32 23291.60 23394.47 25497.31 22392.74 23599.58 17396.75 31986.99 29587.64 28995.54 28089.55 18196.50 30888.58 26982.44 29594.17 270
D2MVS92.76 22292.59 21693.27 29195.13 28489.54 30299.69 15499.38 2292.26 19787.59 29094.61 31985.05 22897.79 24591.59 23188.01 25592.47 336
cl____92.31 23391.58 23494.52 25097.33 22292.77 23399.57 17596.78 31886.97 29687.56 29195.51 28389.43 18296.62 30488.60 26882.44 29594.16 275
v890.54 26989.17 27794.66 24393.43 31293.40 22499.20 22596.94 30585.76 31087.56 29194.51 32081.96 24797.19 27184.94 30578.25 32793.38 321
miper_lstm_enhance91.81 24291.39 24093.06 29797.34 22089.18 30599.38 20496.79 31786.70 29987.47 29395.22 30090.00 17695.86 33088.26 27381.37 30394.15 277
anonymousdsp91.79 24790.92 24594.41 25990.76 34792.93 23298.93 25597.17 27689.08 25887.46 29495.30 29578.43 28396.92 29092.38 22288.73 24593.39 320
jajsoiax91.92 24091.18 24294.15 26491.35 34290.95 27699.00 24797.42 25492.61 18287.38 29597.08 23172.46 31897.36 25994.53 18488.77 24494.13 281
mvs_tets91.81 24291.08 24394.00 27291.63 34090.58 28398.67 28297.43 25292.43 19387.37 29697.05 23471.76 32097.32 26394.75 17788.68 24694.11 282
v1090.25 27788.82 28494.57 24893.53 31093.43 22299.08 23496.87 31185.00 32087.34 29794.51 32080.93 25997.02 28782.85 31779.23 32193.26 323
pmmvs590.17 28089.09 27993.40 28892.10 33489.77 29999.74 14395.58 34685.88 30987.24 29895.74 27173.41 31696.48 30988.54 27083.56 29193.95 295
ACMP92.05 992.74 22392.42 22093.73 27995.91 26588.72 30899.81 12097.53 24194.13 12487.00 29998.23 20374.07 31398.47 19596.22 15288.86 24393.99 292
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
MVS-HIRNet86.22 30783.19 31995.31 22396.71 25290.29 28992.12 35797.33 26462.85 36486.82 30070.37 36869.37 32997.49 25475.12 34897.99 15698.15 217
Anonymous2023121189.86 28488.44 29094.13 26698.93 13290.68 28098.54 28898.26 17176.28 35286.73 30195.54 28070.60 32697.56 25290.82 24680.27 31794.15 277
v7n89.65 28888.29 29393.72 28092.22 33290.56 28499.07 23897.10 28485.42 31886.73 30194.72 31380.06 26997.13 27581.14 32678.12 32993.49 317
IterMVS-SCA-FT90.85 26290.16 26192.93 29896.72 25189.96 29598.89 25896.99 29688.95 26586.63 30395.67 27476.48 29395.00 33987.04 28984.04 28993.84 304
EU-MVSNet90.14 28190.34 25589.54 32892.55 32981.06 35698.69 28098.04 19791.41 22586.59 30496.84 24480.83 26093.31 35686.20 29681.91 29994.26 263
OpenMVScopyleft90.15 1594.77 17593.59 19298.33 12796.07 25997.48 10199.56 17798.57 7790.46 24186.51 30598.95 16478.57 28099.94 7393.86 19699.74 9697.57 228
IterMVS90.91 25990.17 26093.12 29496.78 24990.42 28898.89 25897.05 29289.03 26086.49 30695.42 28776.59 29295.02 33887.22 28784.09 28693.93 297
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
WR-MVS_H91.30 25190.35 25494.15 26494.17 30092.62 24299.17 22898.94 3788.87 26786.48 30794.46 32484.36 23296.61 30588.19 27478.51 32693.21 325
MS-PatchMatch90.65 26590.30 25691.71 31294.22 29985.50 33398.24 30297.70 22288.67 27186.42 30896.37 25767.82 33698.03 23583.62 31399.62 10491.60 344
CP-MVSNet91.23 25490.22 25894.26 26193.96 30392.39 24699.09 23298.57 7788.95 26586.42 30896.57 25279.19 27596.37 31290.29 25578.95 32394.02 287
test_part192.15 23790.72 24796.44 19698.87 14097.46 10398.99 24898.26 17185.89 30786.34 31096.34 25881.71 24897.48 25591.06 23878.99 32294.37 254
LF4IMVS89.25 29488.85 28390.45 32292.81 32781.19 35598.12 30794.79 35791.44 22286.29 31197.11 22965.30 34698.11 23088.53 27185.25 27592.07 339
PVSNet_088.03 1991.80 24590.27 25796.38 19998.27 16890.46 28699.94 6199.61 1293.99 13386.26 31297.39 22371.13 32599.89 8498.77 7867.05 35998.79 209
PS-CasMVS90.63 26789.51 27293.99 27393.83 30591.70 26598.98 24998.52 9288.48 27586.15 31396.53 25475.46 30196.31 31588.83 26778.86 32593.95 295
FMVSNet188.50 29786.64 30394.08 26795.62 28091.97 25298.43 29396.95 30183.00 33386.08 31494.72 31359.09 35896.11 32181.82 32484.07 28794.17 270
PEN-MVS90.19 27989.06 28093.57 28693.06 32090.90 27799.06 23998.47 10588.11 27985.91 31596.30 25976.67 29095.94 32987.07 28876.91 34093.89 300
ppachtmachnet_test89.58 28988.35 29193.25 29292.40 33090.44 28799.33 21096.73 32085.49 31685.90 31695.77 27081.09 25796.00 32876.00 34782.49 29493.30 322
OurMVSNet-221017-089.81 28589.48 27490.83 31891.64 33981.21 35498.17 30695.38 35091.48 22085.65 31797.31 22472.66 31797.29 26788.15 27584.83 27993.97 294
our_test_390.39 27189.48 27493.12 29492.40 33089.57 30199.33 21096.35 33187.84 28385.30 31894.99 30884.14 23496.09 32480.38 32984.56 28193.71 314
testgi89.01 29588.04 29691.90 31093.49 31184.89 33799.73 14895.66 34493.89 14185.14 31998.17 20459.68 35794.66 34477.73 34088.88 24196.16 237
DTE-MVSNet89.40 29088.24 29492.88 29992.66 32889.95 29699.10 23198.22 17687.29 28985.12 32096.22 26176.27 29695.30 33783.56 31475.74 34493.41 318
FMVSNet588.32 29887.47 30090.88 31696.90 24188.39 31597.28 32295.68 34382.60 33784.67 32192.40 34479.83 27191.16 36276.39 34681.51 30293.09 326
tfpnnormal89.29 29287.61 29994.34 26094.35 29794.13 20598.95 25398.94 3783.94 32784.47 32295.51 28374.84 30897.39 25877.05 34480.41 31491.48 346
MVP-Stereo90.93 25890.45 25392.37 30491.25 34488.76 30798.05 31196.17 33487.27 29084.04 32395.30 29578.46 28297.27 26983.78 31299.70 10091.09 347
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
LTVRE_ROB88.28 1890.29 27689.05 28194.02 27095.08 28690.15 29297.19 32497.43 25284.91 32383.99 32497.06 23374.00 31498.28 22084.08 30887.71 25893.62 315
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
pm-mvs189.36 29187.81 29894.01 27193.40 31491.93 25598.62 28596.48 32986.25 30483.86 32596.14 26373.68 31597.04 28386.16 29775.73 34593.04 328
USDC90.00 28388.96 28293.10 29694.81 29088.16 31798.71 27895.54 34793.66 14883.75 32697.20 22765.58 34398.31 21783.96 31187.49 26292.85 331
CL-MVSNet_self_test84.50 31883.15 32088.53 33586.00 36381.79 35198.82 26997.35 26185.12 31983.62 32790.91 35176.66 29191.40 36169.53 35660.36 36492.40 337
ACMH+89.98 1690.35 27389.54 27092.78 30195.99 26286.12 32998.81 27097.18 27589.38 25583.14 32897.76 21568.42 33498.43 20089.11 26586.05 26993.78 308
Anonymous2023120686.32 30685.42 30889.02 33189.11 35780.53 36099.05 24395.28 35185.43 31782.82 32993.92 32874.40 31193.44 35566.99 36081.83 30093.08 327
KD-MVS_self_test83.59 32382.06 32388.20 33786.93 36180.70 35897.21 32396.38 33082.87 33482.49 33088.97 35467.63 33792.32 35873.75 35062.30 36391.58 345
SixPastTwentyTwo88.73 29688.01 29790.88 31691.85 33782.24 34798.22 30495.18 35588.97 26382.26 33196.89 23971.75 32196.67 30384.00 30982.98 29293.72 313
KD-MVS_2432*160088.00 30186.10 30593.70 28396.91 23894.04 20697.17 32597.12 28284.93 32181.96 33292.41 34292.48 13794.51 34579.23 33252.68 36792.56 333
miper_refine_blended88.00 30186.10 30593.70 28396.91 23894.04 20697.17 32597.12 28284.93 32181.96 33292.41 34292.48 13794.51 34579.23 33252.68 36792.56 333
TinyColmap87.87 30386.51 30491.94 30995.05 28785.57 33297.65 31894.08 36284.40 32681.82 33496.85 24262.14 35398.33 21580.25 33086.37 26891.91 343
ACMH89.72 1790.64 26689.63 26793.66 28595.64 27888.64 31198.55 28697.45 24989.03 26081.62 33597.61 21769.75 32898.41 20289.37 26287.62 26093.92 298
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Anonymous2024052185.15 31483.81 31589.16 33088.32 35882.69 34398.80 27295.74 34179.72 34581.53 33690.99 34965.38 34594.16 34772.69 35181.11 30790.63 352
pmmvs685.69 30883.84 31491.26 31590.00 35484.41 33997.82 31596.15 33575.86 35481.29 33795.39 29061.21 35596.87 29383.52 31573.29 34892.50 335
TransMVSNet (Re)87.25 30485.28 30993.16 29393.56 30991.03 27498.54 28894.05 36383.69 33181.09 33896.16 26275.32 30296.40 31176.69 34568.41 35692.06 340
test_method80.79 32679.70 32984.08 34392.83 32567.06 36899.51 18595.42 34854.34 36681.07 33993.53 33244.48 36992.22 35978.90 33677.23 33792.94 329
NR-MVSNet91.56 25090.22 25895.60 21394.05 30195.76 16398.25 30198.70 5691.16 22980.78 34096.64 25083.23 24196.57 30691.41 23277.73 33294.46 245
LCM-MVSNet-Re92.31 23392.60 21391.43 31397.53 21179.27 36299.02 24691.83 36992.07 20280.31 34194.38 32583.50 23895.48 33297.22 13697.58 16199.54 152
TDRefinement84.76 31582.56 32291.38 31474.58 37184.80 33897.36 32194.56 36084.73 32480.21 34296.12 26563.56 35098.39 20687.92 27863.97 36090.95 350
N_pmnet80.06 32980.78 32777.89 34791.94 33545.28 37898.80 27256.82 38178.10 35080.08 34393.33 33377.03 28695.76 33168.14 35982.81 29392.64 332
test_040285.58 30983.94 31390.50 32093.81 30685.04 33698.55 28695.20 35476.01 35379.72 34495.13 30164.15 34996.26 31866.04 36386.88 26590.21 355
test20.0384.72 31783.99 31186.91 33988.19 36080.62 35998.88 26095.94 33888.36 27778.87 34594.62 31868.75 33189.11 36666.52 36175.82 34391.00 348
pmmvs380.27 32877.77 33287.76 33880.32 36982.43 34698.23 30391.97 36872.74 36178.75 34687.97 35657.30 36190.99 36370.31 35462.37 36289.87 356
MIMVSNet182.58 32480.51 32888.78 33386.68 36284.20 34096.65 33295.41 34978.75 34878.59 34792.44 34151.88 36589.76 36565.26 36478.95 32392.38 338
DeepMVS_CXcopyleft82.92 34695.98 26458.66 37296.01 33792.72 17478.34 34895.51 28358.29 35998.08 23182.57 31885.29 27492.03 341
Patchmatch-RL test86.90 30585.98 30789.67 32784.45 36575.59 36389.71 36392.43 36786.89 29777.83 34990.94 35094.22 8893.63 35387.75 28069.61 35199.79 106
lessismore_v090.53 31990.58 34880.90 35795.80 34077.01 35095.84 26866.15 34296.95 28883.03 31675.05 34693.74 312
K. test v388.05 30087.24 30290.47 32191.82 33882.23 34898.96 25297.42 25489.05 25976.93 35195.60 27768.49 33395.42 33385.87 30081.01 31093.75 309
ambc83.23 34577.17 37062.61 36987.38 36594.55 36176.72 35286.65 36030.16 37196.36 31384.85 30669.86 35090.73 351
PM-MVS80.47 32778.88 33185.26 34283.79 36772.22 36595.89 34491.08 37085.71 31376.56 35388.30 35536.64 37093.90 35082.39 31969.57 35289.66 358
OpenMVS_ROBcopyleft79.82 2083.77 32281.68 32590.03 32588.30 35982.82 34298.46 29195.22 35373.92 36076.00 35491.29 34855.00 36296.94 28968.40 35888.51 25190.34 353
UnsupCasMVSNet_eth85.52 31083.99 31190.10 32489.36 35683.51 34196.65 33297.99 19989.14 25775.89 35593.83 32963.25 35193.92 34981.92 32367.90 35892.88 330
new_pmnet84.49 31982.92 32189.21 32990.03 35382.60 34496.89 33195.62 34580.59 34375.77 35689.17 35365.04 34794.79 34372.12 35281.02 30990.23 354
EG-PatchMatch MVS85.35 31383.81 31589.99 32690.39 34981.89 35098.21 30596.09 33681.78 34074.73 35793.72 33151.56 36697.12 27779.16 33588.61 24790.96 349
pmmvs-eth3d84.03 32181.97 32490.20 32384.15 36687.09 32498.10 30994.73 35983.05 33274.10 35887.77 35765.56 34494.01 34881.08 32769.24 35389.49 359
new-patchmatchnet81.19 32579.34 33086.76 34082.86 36880.36 36197.92 31395.27 35282.09 33972.02 35986.87 35962.81 35290.74 36471.10 35363.08 36189.19 361
ET-MVSNet_ETH3D94.37 18993.28 20497.64 15498.30 16397.99 7899.99 397.61 23194.35 11571.57 36099.45 12196.23 3195.34 33596.91 14685.14 27799.59 139
UnsupCasMVSNet_bld79.97 33077.03 33388.78 33385.62 36481.98 34993.66 35297.35 26175.51 35770.79 36183.05 36348.70 36894.91 34178.31 33860.29 36589.46 360
CMPMVSbinary61.59 2184.75 31685.14 31083.57 34490.32 35062.54 37096.98 32997.59 23574.33 35969.95 36296.66 24864.17 34898.32 21687.88 27988.41 25289.84 357
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
testmvs40.60 34244.45 34529.05 35919.49 38314.11 38499.68 15618.47 38220.74 37564.59 36398.48 19710.95 38017.09 37956.66 36911.01 37555.94 372
LCM-MVSNet67.77 33364.73 33676.87 34862.95 37756.25 37489.37 36493.74 36644.53 36961.99 36480.74 36420.42 37786.53 36869.37 35759.50 36687.84 362
PMMVS267.15 33464.15 33776.14 34970.56 37462.07 37193.89 35087.52 37658.09 36560.02 36578.32 36522.38 37684.54 36959.56 36747.03 36981.80 365
Gipumacopyleft66.95 33565.00 33572.79 35091.52 34167.96 36766.16 37095.15 35647.89 36858.54 36667.99 37029.74 37287.54 36750.20 37077.83 33162.87 370
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
YYNet185.50 31283.33 31792.00 30890.89 34688.38 31699.22 22496.55 32679.60 34757.26 36792.72 33879.09 27793.78 35277.25 34277.37 33693.84 304
MDA-MVSNet_test_wron85.51 31183.32 31892.10 30790.96 34588.58 31299.20 22596.52 32779.70 34657.12 36892.69 34079.11 27693.86 35177.10 34377.46 33593.86 303
MDA-MVSNet-bldmvs84.09 32081.52 32691.81 31191.32 34388.00 32098.67 28295.92 33980.22 34455.60 36993.32 33468.29 33593.60 35473.76 34976.61 34293.82 306
FPMVS68.72 33268.72 33468.71 35265.95 37544.27 38095.97 34394.74 35851.13 36753.26 37090.50 35225.11 37583.00 37060.80 36680.97 31178.87 366
test12337.68 34339.14 34633.31 35819.94 38224.83 38398.36 2979.75 38315.53 37651.31 37187.14 35819.62 37817.74 37847.10 3713.47 37757.36 371
tmp_tt65.23 33662.94 33972.13 35144.90 38050.03 37681.05 36789.42 37538.45 37048.51 37299.90 1954.09 36378.70 37291.84 22918.26 37487.64 363
E-PMN52.30 33952.18 34152.67 35671.51 37245.40 37793.62 35376.60 37936.01 37243.50 37364.13 37227.11 37467.31 37531.06 37526.06 37145.30 374
EMVS51.44 34151.22 34352.11 35770.71 37344.97 37994.04 34975.66 38035.34 37442.40 37461.56 37528.93 37365.87 37627.64 37624.73 37245.49 373
MVEpermissive53.74 2251.54 34047.86 34462.60 35459.56 37850.93 37579.41 36877.69 37835.69 37336.27 37561.76 3745.79 38369.63 37337.97 37436.61 37067.24 368
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
ANet_high56.10 33752.24 34067.66 35349.27 37956.82 37383.94 36682.02 37770.47 36233.28 37664.54 37117.23 37969.16 37445.59 37223.85 37377.02 367
PMVScopyleft49.05 2353.75 33851.34 34260.97 35540.80 38134.68 38174.82 36989.62 37437.55 37128.67 37772.12 3677.09 38181.63 37143.17 37368.21 35766.59 369
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
wuyk23d20.37 34520.84 34818.99 36065.34 37627.73 38250.43 3717.67 3849.50 3778.01 3786.34 3786.13 38226.24 37723.40 37710.69 3762.99 375
EGC-MVSNET69.38 33163.76 33886.26 34190.32 35081.66 35396.24 33893.85 3650.99 3783.22 37992.33 34552.44 36492.92 35759.53 36884.90 27884.21 364
test_blank0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.02 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 3800.00 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 3800.00 3840.00 3800.00 3780.00 3780.00 376
cdsmvs_eth3d_5k23.43 34431.24 3470.00 3610.00 3840.00 3850.00 37298.09 1920.00 3790.00 38099.67 10283.37 2390.00 3800.00 3780.00 3780.00 376
pcd_1.5k_mvsjas7.60 34710.13 3500.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 38091.20 1580.00 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 3800.00 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 3800.00 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 3800.00 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 3800.00 3840.00 3800.00 3780.00 3780.00 376
ab-mvs-re8.28 34611.04 3490.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 38099.40 1240.00 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 3800.00 3840.00 3800.00 3780.00 3780.00 376
MSC_two_6792asdad99.93 299.91 4499.80 298.41 136100.00 199.96 9100.00 1100.00 1
No_MVS99.93 299.91 4499.80 298.41 136100.00 199.96 9100.00 1100.00 1
eth-test20.00 384
eth-test0.00 384
OPU-MVS99.93 299.89 5099.80 299.96 2599.80 6097.44 13100.00 1100.00 199.98 35100.00 1
save fliter99.82 7098.79 3799.96 2598.40 14097.66 10
test_0728_SECOND99.82 799.94 1499.47 799.95 4398.43 120100.00 199.99 5100.00 1100.00 1
GSMVS99.59 139
sam_mvs194.72 6899.59 139
sam_mvs94.25 87
MTGPAbinary98.28 167
test_post195.78 34559.23 37693.20 11997.74 24791.06 238
test_post63.35 37394.43 7398.13 229
patchmatchnet-post91.70 34795.12 5297.95 240
MTMP99.87 9396.49 328
gm-plane-assit96.97 23693.76 21491.47 22198.96 16098.79 17694.92 169
test9_res99.71 3599.99 22100.00 1
agg_prior299.48 42100.00 1100.00 1
test_prior498.05 7599.94 61
test_prior99.43 3899.94 1498.49 6198.65 6299.80 11199.99 24
新几何299.40 199
旧先验199.76 7997.52 9698.64 6599.85 3595.63 4399.94 6199.99 24
无先验99.49 18998.71 5593.46 153100.00 194.36 18799.99 24
原ACMM299.90 79
testdata299.99 4090.54 250
segment_acmp96.68 25
testdata199.28 21996.35 52
plane_prior795.71 27591.59 269
plane_prior695.76 27091.72 26480.47 267
plane_prior597.87 21298.37 21297.79 12289.55 23494.52 242
plane_prior498.59 188
plane_prior299.84 11196.38 48
plane_prior195.73 272
plane_prior91.74 26199.86 10496.76 3689.59 233
n20.00 385
nn0.00 385
door-mid89.69 373
test1198.44 112
door90.31 371
HQP5-MVS91.85 257
BP-MVS97.92 117
HQP3-MVS97.89 21089.60 231
HQP2-MVS80.65 263
NP-MVS95.77 26991.79 25998.65 184
ACMMP++_ref87.04 264
ACMMP++88.23 253
Test By Simon92.82 129