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 23100.00 199.75 28100.00 199.99 24
patch_mono-298.24 6499.12 595.59 21399.67 9286.91 32999.95 4398.89 4397.60 1299.90 299.76 7696.54 2899.98 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 17100.00 199.54 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 6599.59 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 19
xiu_mvs_v2_base98.23 6597.97 6799.02 8098.69 14898.66 5099.52 18698.08 19397.05 2799.86 599.86 3190.65 16899.71 13499.39 4798.63 13698.69 211
PS-MVSNAJ98.44 4898.20 5299.16 6298.80 14498.92 2799.54 18498.17 18297.34 1799.85 799.85 3591.20 15799.89 8499.41 4699.67 10198.69 211
旧先验299.46 19794.21 12399.85 799.95 6596.96 145
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 8499.86 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 19100.00 199.99 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 6100.00 199.92 13100.00 1100.00 1
xxxxxxxxxxxxxcwj98.98 1598.79 1799.54 2699.82 7098.79 3799.96 2597.52 24497.66 1099.81 1399.89 2194.70 6899.86 9599.84 1999.93 6799.96 74
SF-MVS98.67 3198.40 3799.50 3299.77 7898.67 4899.90 8098.21 17793.53 15399.81 1399.89 2194.70 6899.86 9599.84 1999.93 6799.96 74
ETH3D-3000-0.198.68 3098.42 3399.47 3799.83 6898.57 5599.90 8098.37 15093.81 14499.81 1399.90 1994.34 8099.86 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 7099.98 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 14100.00 199.92 1399.98 35100.00 1
PC_three_145296.96 3099.80 1799.79 6497.49 10100.00 199.99 599.98 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 24100.00 1100.00 1100.00 1100.00 1
test_241102_TWO98.43 12097.27 2199.80 1799.94 497.18 21100.00 1100.00 1100.00 1100.00 1
test_241102_ONE99.93 2799.30 1198.43 12097.26 2399.80 1799.88 2496.71 24100.00 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 8699.98 998.44 11296.85 3199.80 1799.91 1597.57 899.85 9999.44 4499.99 2299.99 24
Skip Steuart: Steuart Systems R&D Blog.
testdata98.42 12399.47 10795.33 17698.56 7993.78 14699.79 2499.85 3593.64 10599.94 7394.97 17299.94 61100.00 1
9.1498.38 4099.87 5799.91 7598.33 15893.22 16299.78 2599.89 2194.57 7199.85 9999.84 1999.97 48
SMA-MVScopyleft98.76 2798.48 3199.62 1899.87 5798.87 3199.86 10598.38 14793.19 16399.77 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 13699.76 2799.87 2894.99 6199.75 12698.55 91100.00 199.98 55
test_one_060199.94 1499.30 1198.41 13696.63 4099.75 2899.93 1197.49 10
APD-MVScopyleft98.62 3398.35 4599.41 4299.90 4798.51 6099.87 9398.36 15294.08 12899.74 2999.73 8994.08 9299.74 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 10598.24 17392.18 20399.73 3099.87 2893.47 10799.85 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 8098.55 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 14199.71 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 16299.10 12094.42 19899.99 397.10 28295.07 8599.68 3799.75 8292.95 12398.34 21398.38 9699.14 12799.54 151
test1299.43 3899.74 8298.56 5798.40 14099.65 3894.76 6699.75 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 2699.99 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 21595.64 16999.99 397.06 28794.59 10499.63 4099.32 13089.20 18898.14 22798.76 7999.23 12499.62 133
xiu_mvs_v1_base_debu97.43 9397.06 9898.55 11097.74 19998.14 7099.31 21597.86 21396.43 4599.62 4399.69 9885.56 22199.68 13899.05 5698.31 14397.83 220
CS-MVS-test97.88 7697.94 7197.70 15299.28 11595.20 18399.98 997.15 27795.53 7599.62 4399.79 6492.08 14698.38 20998.75 8099.28 12299.52 155
xiu_mvs_v1_base97.43 9397.06 9898.55 11097.74 19998.14 7099.31 21597.86 21396.43 4599.62 4399.69 9885.56 22199.68 13899.05 5698.31 14397.83 220
xiu_mvs_v1_base_debi97.43 9397.06 9898.55 11097.74 19998.14 7099.31 21597.86 21396.43 4599.62 4399.69 9885.56 22199.68 13899.05 5698.31 14397.83 220
原ACMM198.96 8599.73 8696.99 12098.51 9994.06 13199.62 4399.85 3594.97 6299.96 5895.11 16899.95 5599.92 91
PHI-MVS98.41 5098.21 5199.03 7899.86 5997.10 11699.98 998.80 5290.78 24199.62 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 21100.00 193.81 20399.94 6199.98 55
新几何199.42 4199.75 8198.27 6898.63 6892.69 18199.55 4999.82 5594.40 74100.00 191.21 23799.94 6199.99 24
ACMMP_NAP98.49 4498.14 5699.54 2699.66 9398.62 5499.85 10898.37 15094.68 10099.53 5199.83 5192.87 125100.00 198.66 8799.84 8499.99 24
112198.03 7197.57 8399.40 4499.74 8298.21 6998.31 30198.62 6992.78 17699.53 5199.83 5195.08 54100.00 194.36 19099.92 7199.99 24
PMMVS96.76 12096.76 10996.76 18398.28 16892.10 25299.91 7597.98 20094.12 12699.53 5199.39 12686.93 20998.73 18196.95 14697.73 15799.45 164
FOURS199.92 3697.66 9099.95 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 1699.71 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 93100.00 198.67 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 11296.60 11397.95 14097.28 22597.70 8899.55 18297.27 26791.17 23099.43 6099.54 11490.92 16496.89 29594.67 18599.62 10499.25 185
lupinMVS97.85 7897.60 8198.62 10397.28 22597.70 8899.99 397.55 23895.50 7799.43 6099.67 10290.92 16498.71 18398.40 9599.62 10499.45 164
Regformer-198.79 2598.60 2599.36 4899.85 6098.34 6699.87 9398.52 9296.05 5799.41 6299.79 6494.93 6399.76 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 6499.76 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 8099.96 5898.92 6699.95 5599.99 24
X-MVStestdata93.83 19792.06 22899.15 6499.94 1497.50 9999.94 6198.42 13296.22 5399.41 6241.37 38094.34 8099.96 5898.92 6699.95 5599.99 24
SR-MVS-dyc-post98.31 5798.17 5498.71 9699.79 7596.37 14199.76 13798.31 16294.43 11099.40 6699.75 8293.28 11499.78 11698.90 6999.92 7199.97 67
RE-MVS-def98.13 5799.79 7596.37 14199.76 13798.31 16294.43 11099.40 6699.75 8292.95 12398.90 6999.92 7199.97 67
APD-MVS_3200maxsize98.25 6398.08 6198.78 9299.81 7396.60 13299.82 11998.30 16593.95 13899.37 6899.77 7292.84 12699.76 12398.95 6399.92 7199.97 67
PGM-MVS98.34 5598.13 5798.99 8299.92 3697.00 11999.75 14099.50 1793.90 14199.37 6899.76 7693.24 117100.00 197.75 12699.96 5299.98 55
SR-MVS98.46 4698.30 4898.93 8799.88 5497.04 11799.84 11298.35 15594.92 9199.32 7099.80 6093.35 10999.78 11699.30 5099.95 5599.96 74
ZD-MVS99.92 3698.57 5598.52 9292.34 19899.31 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 87100.00 198.70 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 87100.00 198.78 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 102100.00 198.70 8299.98 3599.98 55
ETV-MVS97.92 7597.80 7698.25 13098.14 17796.48 13599.98 997.63 22795.61 7299.29 7599.46 12092.55 13498.82 17499.02 6298.54 13799.46 162
test22299.55 10197.41 10799.34 21198.55 8591.86 21299.27 7699.83 5193.84 10099.95 5599.99 24
abl_697.67 8897.34 9098.66 10099.68 9196.11 15599.68 15698.14 18893.80 14599.27 7699.70 9588.65 19599.98 4697.46 13099.72 9899.89 94
test117298.38 5498.25 4998.77 9399.88 5496.56 13499.80 12598.36 15294.68 10099.20 7899.80 6093.28 11499.78 11699.34 4899.92 7199.98 55
CANet_DTU96.76 12096.15 12498.60 10598.78 14597.53 9499.84 11297.63 22797.25 2499.20 7899.64 10681.36 25599.98 4692.77 22398.89 13098.28 214
EPNet98.49 4498.40 3798.77 9399.62 9596.80 12799.90 8099.51 1697.60 1299.20 7899.36 12993.71 10399.91 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 27799.63 9481.76 35599.96 2598.56 7999.47 199.19 8199.99 194.16 91100.00 199.92 1399.93 67100.00 1
VNet97.21 10596.57 11599.13 7198.97 12897.82 8499.03 24899.21 2894.31 11899.18 8298.88 17086.26 21699.89 8498.93 6594.32 21399.69 119
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 22498.47 10598.14 499.08 8499.91 1593.09 120100.00 199.04 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 10699.14 6699.51 10597.83 8399.89 8898.27 17088.48 27899.06 8599.66 10490.30 17299.64 14496.32 15499.97 4899.96 74
PVSNet91.05 1397.13 10696.69 11198.45 12099.52 10395.81 16099.95 4399.65 1194.73 9899.04 8699.21 14184.48 23099.95 6594.92 17498.74 13499.58 145
CHOSEN 280x42099.01 1399.03 1098.95 8699.38 11198.87 3198.46 29499.42 2197.03 2899.02 8799.09 14599.35 198.21 22599.73 3399.78 9499.77 110
Regformer-398.58 3798.41 3599.10 7299.84 6597.57 9299.66 16098.52 9295.79 6399.01 8899.77 7294.40 7499.75 12698.82 7399.83 8599.98 55
Regformer-498.56 3898.39 3999.08 7499.84 6597.52 9599.66 16098.52 9295.76 6699.01 8899.77 7294.33 8399.75 12698.80 7699.83 8599.98 55
MG-MVS98.91 1898.65 2299.68 1499.94 1499.07 2299.64 16899.44 1997.33 1899.00 9099.72 9194.03 9499.98 4698.73 81100.00 1100.00 1
diffmvs97.00 11096.64 11298.09 13697.64 20696.17 15199.81 12197.19 27194.67 10298.95 9199.28 13186.43 21398.76 17998.37 9797.42 16599.33 178
HPM-MVS_fast97.80 8297.50 8498.68 9899.79 7596.42 13799.88 9098.16 18591.75 21798.94 9299.54 11491.82 15299.65 14397.62 12899.99 2299.99 24
dcpmvs_297.42 9798.09 6095.42 21899.58 10087.24 32699.23 22596.95 30094.28 12098.93 9399.73 8994.39 7899.16 16499.89 1799.82 9199.86 100
CP-MVS98.45 4798.32 4698.87 8999.96 896.62 13199.97 1898.39 14394.43 11098.90 9499.87 2894.30 85100.00 199.04 6099.99 2299.99 24
MVS_Test96.46 13295.74 14598.61 10498.18 17497.23 11099.31 21597.15 27791.07 23498.84 9597.05 23988.17 19898.97 17094.39 18997.50 16299.61 136
API-MVS97.86 7797.66 7898.47 11899.52 10395.41 17499.47 19598.87 4691.68 21898.84 9599.85 3592.34 14099.99 4098.44 9499.96 52100.00 1
GST-MVS98.27 6097.97 6799.17 6099.92 3697.57 9299.93 6798.39 14394.04 13498.80 9799.74 8792.98 122100.00 198.16 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 14799.90 8099.17 5299.86 8399.88 96
h-mvs3394.92 17194.36 17496.59 18998.85 14191.29 27398.93 25998.94 3795.90 6098.77 9998.42 19990.89 16699.77 12097.80 11970.76 35298.72 210
hse-mvs294.38 18794.08 18095.31 22298.27 16990.02 29799.29 22098.56 7995.90 6098.77 9998.00 20890.89 16698.26 22397.80 11969.20 35897.64 225
TSAR-MVS + GP.98.60 3498.51 3098.86 9099.73 8696.63 13099.97 1897.92 20798.07 598.76 10199.55 11295.00 6099.94 7399.91 1697.68 15999.99 24
sss97.57 9097.03 10299.18 5798.37 16398.04 7599.73 14899.38 2293.46 15598.76 10199.06 14791.21 15699.89 8496.33 15397.01 17499.62 133
CostFormer96.10 14395.88 14296.78 18297.03 23292.55 24397.08 33097.83 21690.04 25398.72 10394.89 31495.01 5998.29 21796.54 15295.77 19699.50 159
tpmrst96.27 14295.98 13097.13 17397.96 18493.15 22796.34 33998.17 18292.07 20698.71 10495.12 30593.91 9798.73 18194.91 17696.62 17999.50 159
MVS_111021_HR98.72 2898.62 2499.01 8199.36 11297.18 11299.93 6799.90 196.81 3598.67 10599.77 7293.92 9699.89 8499.27 5199.94 6199.96 74
MAR-MVS97.43 9397.19 9598.15 13599.47 10794.79 19399.05 24698.76 5392.65 18498.66 10699.82 5588.52 19699.98 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 13995.69 14698.16 13297.85 19196.26 14497.41 32397.21 27090.37 24698.65 10798.58 18986.61 21298.70 18497.11 13997.37 16799.52 155
HPM-MVScopyleft97.96 7297.72 7798.68 9899.84 6596.39 14099.90 8098.17 18292.61 18698.62 10899.57 11191.87 15099.67 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 12399.95 4398.38 14795.04 8698.61 10999.80 6093.39 108100.00 198.64 88100.00 199.98 55
jason97.24 10396.86 10598.38 12695.73 27197.32 10899.97 1897.40 25795.34 8098.60 11099.54 11487.70 20098.56 19097.94 11699.47 11599.25 185
jason: jason.
CANet98.27 6097.82 7599.63 1599.72 8899.10 2199.98 998.51 9997.00 2998.52 11199.71 9387.80 19999.95 6599.75 2899.38 11999.83 102
EI-MVSNet-Vis-set98.27 6098.11 5998.75 9599.83 6896.59 13399.40 20198.51 9995.29 8198.51 11299.76 7693.60 10699.71 13498.53 9299.52 11299.95 82
ZNCC-MVS98.31 5798.03 6399.17 6099.88 5497.59 9199.94 6198.44 11294.31 11898.50 11399.82 5593.06 12199.99 4098.30 10099.99 2299.93 85
LFMVS94.75 17693.56 19498.30 12899.03 12395.70 16798.74 27897.98 20087.81 28798.47 11499.39 12667.43 34199.53 14698.01 11195.20 20799.67 122
tpm295.47 16295.18 15996.35 19996.91 23791.70 26696.96 33397.93 20588.04 28498.44 11595.40 29193.32 11197.97 23694.00 19795.61 20099.38 171
alignmvs97.81 8197.33 9199.25 5298.77 14698.66 5099.99 398.44 11294.40 11498.41 11699.47 11893.65 10499.42 15698.57 9094.26 21499.67 122
UA-Net96.54 12995.96 13598.27 12998.23 17195.71 16698.00 31598.45 10993.72 14998.41 11699.27 13488.71 19499.66 14291.19 23897.69 15899.44 166
DP-MVS Recon98.41 5098.02 6499.56 2499.97 398.70 4799.92 7198.44 11292.06 20898.40 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 25498.36 11999.79 6491.18 16099.99 4098.37 9799.99 2299.99 24
PAPM98.60 3498.42 3399.14 6696.05 25998.96 2499.90 8099.35 2496.68 3998.35 12099.66 10496.45 2998.51 19399.45 4399.89 7899.96 74
HY-MVS92.50 797.79 8397.17 9799.63 1598.98 12799.32 897.49 32299.52 1495.69 7098.32 12197.41 22693.32 11199.77 12098.08 10995.75 19899.81 104
EI-MVSNet-UG-set98.14 6797.99 6698.60 10599.80 7496.27 14399.36 21098.50 10395.21 8398.30 12299.75 8293.29 11399.73 13398.37 9799.30 12199.81 104
PVSNet_BlendedMVS96.05 14595.82 14496.72 18599.59 9696.99 12099.95 4399.10 2994.06 13198.27 12395.80 27289.00 19099.95 6599.12 5387.53 26693.24 327
PVSNet_Blended97.94 7397.64 7998.83 9199.59 9696.99 120100.00 199.10 2995.38 7898.27 12399.08 14689.00 19099.95 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 151100.00 198.85 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 8899.52 1495.58 7398.24 12699.39 12693.33 11099.74 13097.98 11595.58 20199.78 109
DELS-MVS98.54 4098.22 5099.50 3299.15 11998.65 52100.00 198.58 7597.70 998.21 12799.24 13992.58 13399.94 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
MDTV_nov1_ep13_2view96.26 14496.11 34391.89 21198.06 12894.40 7494.30 19399.67 122
PAPR98.52 4298.16 5599.58 2399.97 398.77 4099.95 4398.43 12095.35 7998.03 12999.75 8294.03 9499.98 4698.11 10699.83 8599.99 24
MDTV_nov1_ep1395.69 14697.90 18794.15 20295.98 34598.44 11293.12 16597.98 13095.74 27495.10 5398.58 18990.02 26196.92 176
test250697.53 9197.19 9598.58 10898.66 15096.90 12498.81 27399.77 594.93 8997.95 13198.96 16092.51 13599.20 16094.93 17398.15 14799.64 128
GG-mvs-BLEND98.54 11398.21 17298.01 7693.87 35498.52 9297.92 13297.92 21499.02 297.94 24198.17 10299.58 10999.67 122
EIA-MVS97.53 9197.46 8597.76 14998.04 18194.84 19099.98 997.61 23294.41 11397.90 13399.59 10992.40 13898.87 17298.04 11099.13 12899.59 139
test_yl97.83 7997.37 8899.21 5499.18 11697.98 7899.64 16899.27 2691.43 22697.88 13498.99 15495.84 3999.84 10898.82 7395.32 20599.79 106
DCV-MVSNet97.83 7997.37 8899.21 5499.18 11697.98 7899.64 16899.27 2691.43 22697.88 13498.99 15495.84 3999.84 10898.82 7395.32 20599.79 106
canonicalmvs97.09 10996.32 12199.39 4698.93 13298.95 2599.72 15197.35 26094.45 10897.88 13499.42 12286.71 21099.52 14798.48 9393.97 21899.72 116
VDDNet93.12 21691.91 23296.76 18396.67 25292.65 24198.69 28398.21 17782.81 33897.75 13799.28 13161.57 35799.48 15498.09 10894.09 21698.15 216
EPMVS96.53 13096.01 12798.09 13698.43 16096.12 15496.36 33899.43 2093.53 15397.64 13895.04 30794.41 7398.38 20991.13 23998.11 15099.75 112
JIA-IIPM91.76 25190.70 25194.94 23396.11 25787.51 32493.16 35798.13 19075.79 35897.58 13977.68 36992.84 12697.97 23688.47 27596.54 18099.33 178
EPNet_dtu95.71 15595.39 15296.66 18798.92 13493.41 22399.57 17898.90 4296.19 5597.52 14098.56 19192.65 13197.36 25777.89 34298.33 14299.20 188
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 15299.82 11998.43 12094.56 10597.52 14099.70 9594.40 7499.98 4697.00 14399.98 3599.99 24
thisisatest051597.41 9897.02 10398.59 10797.71 20597.52 9599.97 1898.54 8991.83 21397.45 14299.04 14897.50 999.10 16694.75 18296.37 18599.16 190
OMC-MVS97.28 10197.23 9497.41 16399.76 7993.36 22699.65 16497.95 20396.03 5997.41 14399.70 9589.61 17999.51 14896.73 15098.25 14699.38 171
gg-mvs-nofinetune93.51 20791.86 23498.47 11897.72 20397.96 8092.62 35898.51 9974.70 36197.33 14469.59 37298.91 397.79 24497.77 12499.56 11099.67 122
PatchT90.38 27588.75 28995.25 22495.99 26190.16 29391.22 36597.54 24076.80 35497.26 14586.01 36491.88 14996.07 32866.16 36595.91 19399.51 157
PLCcopyleft95.54 397.93 7497.89 7498.05 13899.82 7094.77 19499.92 7198.46 10793.93 13997.20 14699.27 13495.44 4899.97 5697.41 13199.51 11499.41 169
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 8199.80 12598.28 16795.76 6697.18 14799.88 2492.74 129100.00 198.67 8499.88 8099.99 24
MTAPA98.29 5997.96 7099.30 5099.85 6097.93 8199.39 20598.28 16795.76 6697.18 14799.88 2492.74 129100.00 198.67 8499.88 8099.99 24
PatchmatchNetpermissive95.94 14995.45 15097.39 16597.83 19294.41 19996.05 34498.40 14092.86 16997.09 14995.28 30294.21 9098.07 23289.26 26798.11 15099.70 117
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
thisisatest053097.10 10796.72 11098.22 13197.60 20896.70 12899.92 7198.54 8991.11 23397.07 15098.97 15897.47 1299.03 16793.73 20896.09 18898.92 200
CR-MVSNet93.45 21092.62 21495.94 20796.29 25492.66 23992.01 36196.23 33392.62 18596.94 15193.31 33891.04 16196.03 32979.23 33595.96 19199.13 194
RPMNet89.76 28987.28 30497.19 17296.29 25492.66 23992.01 36198.31 16270.19 36696.94 15185.87 36587.25 20599.78 11662.69 36895.96 19199.13 194
baseline96.43 13395.98 13097.76 14997.34 21995.17 18499.51 18897.17 27493.92 14096.90 15399.28 13185.37 22498.64 18797.50 12996.86 17899.46 162
ECVR-MVScopyleft95.66 15795.05 16297.51 15898.66 15093.71 21498.85 27098.45 10994.93 8996.86 15498.96 16075.22 30899.20 16095.34 16598.15 14799.64 128
Vis-MVSNetpermissive95.72 15395.15 16097.45 16097.62 20794.28 20199.28 22198.24 17394.27 12296.84 15598.94 16679.39 27498.76 17993.25 21498.49 13899.30 181
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 29298.77 27797.79 21890.85 23996.82 15699.42 12261.18 35999.77 12098.95 6394.13 21598.82 206
UGNet95.33 16494.57 17197.62 15598.55 15494.85 18998.67 28599.32 2595.75 6996.80 15796.27 26372.18 32299.96 5894.58 18799.05 12998.04 218
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 10496.80 10898.51 11699.99 195.60 17099.09 23598.84 4993.32 15996.74 15899.72 9186.04 217100.00 198.01 11199.43 11899.94 84
tpm93.70 20593.41 20094.58 24895.36 28287.41 32597.01 33196.90 30790.85 23996.72 15994.14 33090.40 17196.84 29890.75 25188.54 24999.51 157
test111195.57 15994.98 16497.37 16698.56 15293.37 22598.86 26898.45 10994.95 8896.63 16098.95 16475.21 30999.11 16595.02 17198.14 14999.64 128
tttt051796.85 11596.49 11797.92 14297.48 21495.89 15999.85 10898.54 8990.72 24296.63 16098.93 16897.47 1299.02 16893.03 22195.76 19798.85 204
mvs-test195.53 16095.97 13394.20 26497.77 19685.44 33799.95 4397.06 28794.92 9196.58 16298.72 18085.81 21898.98 16994.80 17998.11 15098.18 215
casdiffmvs96.42 13495.97 13397.77 14897.30 22394.98 18699.84 11297.09 28493.75 14896.58 16299.26 13785.07 22698.78 17797.77 12497.04 17399.54 151
CNLPA97.76 8597.38 8798.92 8899.53 10296.84 12599.87 9398.14 18893.78 14696.55 16499.69 9892.28 14199.98 4697.13 13899.44 11799.93 85
PatchMatch-RL96.04 14695.40 15197.95 14099.59 9695.22 18299.52 18699.07 3293.96 13796.49 16598.35 20082.28 24599.82 11090.15 26099.22 12598.81 207
MP-MVS-pluss98.07 7097.64 7999.38 4799.74 8298.41 6499.74 14398.18 18193.35 15796.45 16699.85 3592.64 13299.97 5698.91 6899.89 7899.77 110
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ADS-MVSNet293.80 20093.88 18593.55 29097.87 18985.94 33394.24 35096.84 31290.07 25196.43 16794.48 32590.29 17395.37 33787.44 28597.23 16899.36 174
ADS-MVSNet94.79 17394.02 18197.11 17597.87 18993.79 21194.24 35098.16 18590.07 25196.43 16794.48 32590.29 17398.19 22687.44 28597.23 16899.36 174
ACMMPcopyleft97.74 8697.44 8698.66 10099.92 3696.13 15299.18 22999.45 1894.84 9596.41 16999.71 9391.40 15499.99 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 10296.81 10798.66 10098.81 14396.67 12999.92 7198.64 6594.51 10796.38 17098.49 19389.05 18999.88 9097.10 14098.34 14199.43 167
AUN-MVS93.28 21192.60 21595.34 22098.29 16690.09 29599.31 21598.56 7991.80 21696.35 17198.00 20889.38 18298.28 21992.46 22469.22 35797.64 225
thres20096.96 11196.21 12399.22 5398.97 12898.84 3499.85 10899.71 693.17 16496.26 17298.88 17089.87 17799.51 14894.26 19494.91 20899.31 180
HyFIR lowres test96.66 12796.43 11997.36 16899.05 12293.91 21099.70 15399.80 390.54 24396.26 17298.08 20592.15 14498.23 22496.84 14995.46 20299.93 85
SCA94.69 17793.81 18797.33 17097.10 22894.44 19698.86 26898.32 16093.30 16096.17 17495.59 28176.48 29697.95 23991.06 24197.43 16399.59 139
tfpn200view996.79 11895.99 12899.19 5698.94 13098.82 3599.78 12999.71 692.86 16996.02 17598.87 17289.33 18399.50 15093.84 20094.57 20999.27 183
thres40096.78 11995.99 12899.16 6298.94 13098.82 3599.78 12999.71 692.86 16996.02 17598.87 17289.33 18399.50 15093.84 20094.57 20999.16 190
dp95.05 16894.43 17396.91 17897.99 18392.73 23796.29 34097.98 20089.70 25795.93 17794.67 32093.83 10198.45 19886.91 29796.53 18199.54 151
thres100view90096.74 12295.92 14099.18 5798.90 13798.77 4099.74 14399.71 692.59 18895.84 17898.86 17489.25 18599.50 15093.84 20094.57 20999.27 183
thres600view796.69 12595.87 14399.14 6698.90 13798.78 3999.74 14399.71 692.59 18895.84 17898.86 17489.25 18599.50 15093.44 21394.50 21299.16 190
EPP-MVSNet96.69 12596.60 11396.96 17797.74 19993.05 23099.37 20898.56 7988.75 27295.83 18099.01 15196.01 3298.56 19096.92 14797.20 17099.25 185
TESTMET0.1,196.74 12296.26 12298.16 13297.36 21896.48 13599.96 2598.29 16691.93 21095.77 18198.07 20695.54 4498.29 21790.55 25298.89 13099.70 117
F-COLMAP96.93 11396.95 10496.87 18099.71 8991.74 26299.85 10897.95 20393.11 16695.72 18299.16 14392.35 13999.94 7395.32 16699.35 12098.92 200
test-LLR96.47 13196.04 12697.78 14697.02 23395.44 17299.96 2598.21 17794.07 12995.55 18396.38 25893.90 9898.27 22190.42 25598.83 13299.64 128
test-mter96.39 13595.93 13897.78 14697.02 23395.44 17299.96 2598.21 17791.81 21595.55 18396.38 25895.17 5198.27 22190.42 25598.83 13299.64 128
IS-MVSNet96.29 14095.90 14197.45 16098.13 17894.80 19299.08 23797.61 23292.02 20995.54 18598.96 16090.64 16998.08 23093.73 20897.41 16699.47 161
CHOSEN 1792x268896.81 11796.53 11697.64 15398.91 13693.07 22899.65 16499.80 395.64 7195.39 18698.86 17484.35 23399.90 8096.98 14499.16 12699.95 82
CDS-MVSNet96.34 13696.07 12597.13 17397.37 21794.96 18799.53 18597.91 20891.55 22195.37 18798.32 20195.05 5797.13 27693.80 20495.75 19899.30 181
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
Effi-MVS+-dtu94.53 18495.30 15592.22 30897.77 19682.54 34899.59 17497.06 28794.92 9195.29 18895.37 29585.81 21897.89 24294.80 17997.07 17296.23 235
CSCG97.10 10797.04 10197.27 17199.89 5091.92 25799.90 8099.07 3288.67 27495.26 18999.82 5593.17 11999.98 4698.15 10499.47 11599.90 93
Vis-MVSNet (Re-imp)96.32 13795.98 13097.35 16997.93 18694.82 19199.47 19598.15 18791.83 21395.09 19099.11 14491.37 15597.47 25593.47 21297.43 16399.74 113
TAMVS95.85 15095.58 14896.65 18897.07 22993.50 21999.17 23097.82 21791.39 22995.02 19198.01 20792.20 14297.30 26493.75 20795.83 19599.14 193
XVG-OURS-SEG-HR94.79 17394.70 17095.08 22898.05 18089.19 30699.08 23797.54 24093.66 15094.87 19299.58 11078.78 27999.79 11497.31 13393.40 22296.25 233
XVG-OURS94.82 17294.74 16995.06 22998.00 18289.19 30699.08 23797.55 23894.10 12794.71 19399.62 10780.51 26699.74 13096.04 15793.06 22696.25 233
ab-mvs94.69 17793.42 19898.51 11698.07 17996.26 14496.49 33798.68 5890.31 24894.54 19497.00 24176.30 29899.71 13495.98 15893.38 22399.56 147
TAPA-MVS92.12 894.42 18693.60 19196.90 17999.33 11391.78 26199.78 12998.00 19789.89 25594.52 19599.47 11891.97 14899.18 16269.90 35899.52 11299.73 114
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TR-MVS94.54 18293.56 19497.49 15997.96 18494.34 20098.71 28197.51 24690.30 24994.51 19698.69 18175.56 30398.77 17892.82 22295.99 19099.35 176
Fast-Effi-MVS+95.02 16994.19 17797.52 15797.88 18894.55 19599.97 1897.08 28588.85 27194.47 19797.96 21384.59 22998.41 20189.84 26397.10 17199.59 139
DeepC-MVS94.51 496.92 11496.40 12098.45 12099.16 11895.90 15899.66 16098.06 19496.37 5194.37 19899.49 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 24892.79 21288.83 33598.15 17669.87 36998.11 31196.60 32583.93 33194.33 19999.27 13479.60 27399.46 15591.99 22893.16 22597.18 229
BH-RMVSNet95.18 16594.31 17697.80 14498.17 17595.23 18199.76 13797.53 24292.52 19394.27 20099.25 13876.84 29298.80 17590.89 24899.54 11199.35 176
CVMVSNet94.68 17994.94 16593.89 27996.80 24586.92 32899.06 24298.98 3594.45 10894.23 20199.02 14985.60 22095.31 33990.91 24795.39 20499.43 167
baseline195.78 15294.86 16698.54 11398.47 15998.07 7399.06 24297.99 19892.68 18294.13 20298.62 18693.28 11498.69 18593.79 20585.76 27598.84 205
Anonymous20240521193.10 21791.99 23096.40 19699.10 12089.65 30398.88 26497.93 20583.71 33394.00 20398.75 17968.79 33399.88 9095.08 17091.71 22899.68 120
cascas94.64 18093.61 18997.74 15197.82 19396.26 14499.96 2597.78 21985.76 31394.00 20397.54 22276.95 29199.21 15997.23 13695.43 20397.76 224
Anonymous2024052992.10 24190.65 25296.47 19098.82 14290.61 28498.72 28098.67 6175.54 35993.90 20598.58 18966.23 34499.90 8094.70 18490.67 22998.90 203
MVS_030489.28 29688.31 29592.21 30997.05 23186.53 33097.76 32099.57 1385.58 31893.86 20692.71 34251.04 37096.30 31984.49 31092.72 22793.79 310
LS3D95.84 15195.11 16198.02 13999.85 6095.10 18598.74 27898.50 10387.22 29493.66 20799.86 3187.45 20399.95 6590.94 24699.81 9399.02 198
GeoE94.36 19093.48 19696.99 17697.29 22493.54 21899.96 2596.72 32188.35 28193.43 20898.94 16682.05 24698.05 23388.12 28096.48 18399.37 173
HQP-NCC95.78 26599.87 9396.82 3293.37 209
ACMP_Plane95.78 26599.87 9396.82 3293.37 209
HQP4-MVS93.37 20998.39 20594.53 239
HQP-MVS94.61 18194.50 17294.92 23495.78 26591.85 25899.87 9397.89 20996.82 3293.37 20998.65 18380.65 26498.39 20597.92 11789.60 23094.53 239
HQP_MVS94.49 18594.36 17494.87 23595.71 27491.74 26299.84 11297.87 21196.38 4893.01 21398.59 18780.47 26898.37 21197.79 12289.55 23394.52 241
plane_prior391.64 26896.63 4093.01 213
GA-MVS93.83 19792.84 21096.80 18195.73 27193.57 21699.88 9097.24 26992.57 19092.92 21596.66 25178.73 28097.67 24887.75 28394.06 21799.17 189
tpm cat193.51 20792.52 22096.47 19097.77 19691.47 27296.13 34298.06 19480.98 34592.91 21693.78 33389.66 17898.87 17287.03 29396.39 18499.09 196
1112_ss96.01 14795.20 15898.42 12397.80 19496.41 13899.65 16496.66 32392.71 17992.88 21799.40 12492.16 14399.30 15791.92 23093.66 21999.55 148
Test_1112_low_res95.72 15394.83 16798.42 12397.79 19596.41 13899.65 16496.65 32492.70 18092.86 21896.13 26792.15 14499.30 15791.88 23193.64 22099.55 148
IB-MVS92.85 694.99 17093.94 18398.16 13297.72 20395.69 16899.99 398.81 5094.28 12092.70 21996.90 24395.08 5499.17 16396.07 15673.88 35099.60 138
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
iter_conf_final96.01 14795.93 13896.28 20098.38 16297.03 11899.87 9397.03 29194.05 13392.61 22097.98 21198.01 597.34 25997.02 14288.39 25294.47 244
Fast-Effi-MVS+-dtu93.72 20493.86 18693.29 29397.06 23086.16 33199.80 12596.83 31392.66 18392.58 22197.83 21581.39 25497.67 24889.75 26496.87 17796.05 237
iter_conf0596.07 14495.95 13796.44 19498.43 16097.52 9599.91 7596.85 31194.16 12492.49 22297.98 21198.20 497.34 25997.26 13588.29 25394.45 250
tpmvs94.28 19293.57 19396.40 19698.55 15491.50 27195.70 34998.55 8587.47 28992.15 22394.26 32991.42 15398.95 17188.15 27895.85 19498.76 209
BH-w/o95.71 15595.38 15396.68 18698.49 15892.28 24799.84 11297.50 24792.12 20592.06 22498.79 17884.69 22898.67 18695.29 16799.66 10299.09 196
VPA-MVSNet92.70 22791.55 23996.16 20395.09 28496.20 14998.88 26499.00 3491.02 23691.82 22595.29 30176.05 30297.96 23895.62 16481.19 30794.30 264
baseline296.71 12496.49 11797.37 16695.63 27895.96 15799.74 14398.88 4592.94 16891.61 22698.97 15897.72 798.62 18894.83 17898.08 15497.53 228
OPM-MVS93.21 21292.80 21194.44 25793.12 32190.85 27999.77 13297.61 23296.19 5591.56 22798.65 18375.16 31098.47 19493.78 20689.39 23693.99 295
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
EI-MVSNet93.73 20393.40 20194.74 24096.80 24592.69 23899.06 24297.67 22488.96 26791.39 22899.02 14988.75 19397.30 26491.07 24087.85 26094.22 269
MVSTER95.53 16095.22 15796.45 19298.56 15297.72 8599.91 7597.67 22492.38 19791.39 22897.14 23397.24 1897.30 26494.80 17987.85 26094.34 262
test_low_dy_conf_00193.16 21392.88 20994.01 27293.16 31890.65 28399.58 17597.66 22692.21 20291.34 23097.80 21682.45 24497.05 28293.64 21088.05 25794.32 263
mvsmamba94.10 19393.72 18895.25 22493.57 30894.13 20399.67 15996.45 33093.63 15291.34 23097.77 21786.29 21597.22 27096.65 15188.10 25694.40 252
BH-untuned95.18 16594.83 16796.22 20298.36 16491.22 27499.80 12597.32 26490.91 23791.08 23298.67 18283.51 23798.54 19294.23 19599.61 10798.92 200
CLD-MVS94.06 19593.90 18494.55 25096.02 26090.69 28099.98 997.72 22096.62 4291.05 23398.85 17777.21 28898.47 19498.11 10689.51 23594.48 243
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MVS96.60 12895.56 14999.72 1296.85 24299.22 1998.31 30198.94 3791.57 22090.90 23499.61 10886.66 21199.96 5897.36 13299.88 8099.99 24
MSDG94.37 18893.36 20297.40 16498.88 13993.95 20999.37 20897.38 25885.75 31590.80 23599.17 14284.11 23599.88 9086.35 29898.43 14098.36 213
VPNet91.81 24590.46 25495.85 21094.74 29095.54 17198.98 25398.59 7492.14 20490.77 23697.44 22568.73 33597.54 25294.89 17777.89 33394.46 245
MIMVSNet90.30 27888.67 29095.17 22796.45 25391.64 26892.39 35997.15 27785.99 30990.50 23793.19 34066.95 34294.86 34582.01 32593.43 22199.01 199
mvs_anonymous95.65 15895.03 16397.53 15698.19 17395.74 16499.33 21297.49 24890.87 23890.47 23897.10 23588.23 19797.16 27395.92 15997.66 16099.68 120
bld_raw_dy_0_6492.74 22592.03 22994.87 23593.09 32393.46 22099.12 23295.41 35092.84 17290.44 23997.54 22278.08 28597.04 28593.94 19887.77 26294.11 284
Patchmatch-test92.65 23091.50 24096.10 20596.85 24290.49 28791.50 36397.19 27182.76 33990.23 24095.59 28195.02 5898.00 23577.41 34496.98 17599.82 103
LPG-MVS_test92.96 21992.71 21393.71 28495.43 28088.67 31299.75 14097.62 22992.81 17390.05 24198.49 19375.24 30698.40 20395.84 16189.12 23794.07 287
LGP-MVS_train93.71 28495.43 28088.67 31297.62 22992.81 17390.05 24198.49 19375.24 30698.40 20395.84 16189.12 23794.07 287
DP-MVS94.54 18293.42 19897.91 14399.46 10994.04 20598.93 25997.48 24981.15 34490.04 24399.55 11287.02 20899.95 6588.97 26998.11 15099.73 114
test_djsdf92.83 22292.29 22394.47 25591.90 34092.46 24499.55 18297.27 26791.17 23089.96 24496.07 26981.10 25796.89 29594.67 18588.91 23994.05 289
ACMM91.95 1092.88 22192.52 22093.98 27695.75 27089.08 30999.77 13297.52 24493.00 16789.95 24597.99 21076.17 30098.46 19793.63 21188.87 24194.39 254
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
131496.84 11695.96 13599.48 3696.74 24998.52 5998.31 30198.86 4795.82 6289.91 24698.98 15687.49 20299.96 5897.80 11999.73 9799.96 74
XVG-ACMP-BASELINE91.22 25890.75 24992.63 30593.73 30685.61 33498.52 29397.44 25192.77 17789.90 24796.85 24766.64 34398.39 20592.29 22688.61 24693.89 303
miper_enhance_ethall94.36 19093.98 18295.49 21498.68 14995.24 18099.73 14897.29 26693.28 16189.86 24895.97 27094.37 7997.05 28292.20 22784.45 28794.19 272
nrg03093.51 20792.53 21996.45 19294.36 29597.20 11199.81 12197.16 27691.60 21989.86 24897.46 22486.37 21497.68 24795.88 16080.31 31994.46 245
V4291.28 25690.12 26594.74 24093.42 31393.46 22099.68 15697.02 29287.36 29189.85 25095.05 30681.31 25697.34 25987.34 28880.07 32193.40 322
v14419290.79 26689.52 27494.59 24793.11 32292.77 23399.56 18096.99 29586.38 30589.82 25194.95 31380.50 26797.10 27983.98 31380.41 31793.90 302
GBi-Net90.88 26389.82 26894.08 26897.53 21091.97 25398.43 29696.95 30087.05 29589.68 25294.72 31671.34 32596.11 32487.01 29485.65 27694.17 273
test190.88 26389.82 26894.08 26897.53 21091.97 25398.43 29696.95 30087.05 29589.68 25294.72 31671.34 32596.11 32487.01 29485.65 27694.17 273
FMVSNet392.69 22891.58 23795.99 20698.29 16697.42 10699.26 22397.62 22989.80 25689.68 25295.32 29781.62 25396.27 32087.01 29485.65 27694.29 265
IterMVS-LS92.69 22892.11 22694.43 25996.80 24592.74 23599.45 19896.89 30888.98 26589.65 25595.38 29488.77 19296.34 31790.98 24582.04 30194.22 269
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
v114491.09 25989.83 26794.87 23593.25 31793.69 21599.62 17196.98 29786.83 30189.64 25694.99 31180.94 25997.05 28285.08 30781.16 30893.87 305
v192192090.46 27389.12 28194.50 25392.96 32792.46 24499.49 19296.98 29786.10 30889.61 25795.30 29878.55 28297.03 28882.17 32480.89 31594.01 292
v119290.62 27189.25 27994.72 24293.13 31993.07 22899.50 19097.02 29286.33 30689.56 25895.01 30879.22 27597.09 28182.34 32381.16 30894.01 292
PCF-MVS94.20 595.18 16594.10 17998.43 12298.55 15495.99 15697.91 31797.31 26590.35 24789.48 25999.22 14085.19 22599.89 8490.40 25798.47 13999.41 169
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
3Dnovator91.47 1296.28 14195.34 15499.08 7496.82 24497.47 10299.45 19898.81 5095.52 7689.39 26099.00 15381.97 24799.95 6597.27 13499.83 8599.84 101
v124090.20 28188.79 28894.44 25793.05 32592.27 24899.38 20696.92 30685.89 31089.36 26194.87 31577.89 28797.03 28880.66 33181.08 31194.01 292
FIs94.10 19393.43 19796.11 20494.70 29196.82 12699.58 17598.93 4192.54 19189.34 26297.31 22987.62 20197.10 27994.22 19686.58 27194.40 252
ITE_SJBPF92.38 30695.69 27685.14 33895.71 34392.81 17389.33 26398.11 20470.23 33098.42 20085.91 30288.16 25593.59 319
v2v48291.30 25490.07 26695.01 23093.13 31993.79 21199.77 13297.02 29288.05 28389.25 26495.37 29580.73 26297.15 27487.28 28980.04 32294.09 286
UniMVSNet (Re)93.07 21892.13 22595.88 20894.84 28896.24 14899.88 9098.98 3592.49 19589.25 26495.40 29187.09 20797.14 27593.13 21978.16 33194.26 266
bld_raw_conf00592.79 22392.18 22494.61 24593.38 31592.27 24898.99 25195.20 35693.34 15889.25 26497.67 22078.03 28697.21 27195.81 16387.99 25994.35 260
UniMVSNet_NR-MVSNet92.95 22092.11 22695.49 21494.61 29395.28 17899.83 11899.08 3191.49 22289.21 26796.86 24687.14 20696.73 30393.20 21577.52 33694.46 245
DU-MVS92.46 23391.45 24295.49 21494.05 30095.28 17899.81 12198.74 5492.25 20189.21 26796.64 25381.66 25196.73 30393.20 21577.52 33694.46 245
eth_miper_zixun_eth92.41 23491.93 23193.84 28097.28 22590.68 28198.83 27196.97 29988.57 27789.19 26995.73 27689.24 18796.69 30589.97 26281.55 30494.15 279
cl2293.77 20193.25 20595.33 22199.49 10694.43 19799.61 17298.09 19190.38 24589.16 27095.61 27990.56 17097.34 25991.93 22984.45 28794.21 271
Baseline_NR-MVSNet90.33 27789.51 27592.81 30392.84 32889.95 29999.77 13293.94 36784.69 32889.04 27195.66 27881.66 25196.52 31090.99 24476.98 34291.97 345
FC-MVSNet-test93.81 19993.15 20695.80 21194.30 29796.20 14999.42 20098.89 4392.33 19989.03 27297.27 23187.39 20496.83 29993.20 21586.48 27294.36 257
QAPM95.40 16394.17 17899.10 7296.92 23697.71 8699.40 20198.68 5889.31 25988.94 27398.89 16982.48 24399.96 5893.12 22099.83 8599.62 133
RRT_MVS93.14 21592.92 20893.78 28193.31 31690.04 29699.66 16097.69 22292.53 19288.91 27497.76 21884.36 23196.93 29395.10 16986.99 26994.37 255
miper_ehance_all_eth93.16 21392.60 21594.82 23997.57 20993.56 21799.50 19097.07 28688.75 27288.85 27595.52 28590.97 16396.74 30290.77 25084.45 28794.17 273
AllTest92.48 23291.64 23595.00 23199.01 12488.43 31698.94 25896.82 31586.50 30388.71 27698.47 19774.73 31299.88 9085.39 30496.18 18696.71 231
TestCases95.00 23199.01 12488.43 31696.82 31586.50 30388.71 27698.47 19774.73 31299.88 9085.39 30496.18 18696.71 231
c3_l92.53 23191.87 23394.52 25197.40 21692.99 23199.40 20196.93 30587.86 28588.69 27895.44 28989.95 17696.44 31390.45 25480.69 31694.14 282
pmmvs492.10 24191.07 24795.18 22692.82 33094.96 18799.48 19496.83 31387.45 29088.66 27996.56 25683.78 23696.83 29989.29 26684.77 28593.75 312
PS-MVSNAJss93.64 20693.31 20394.61 24592.11 33792.19 25099.12 23297.38 25892.51 19488.45 28096.99 24291.20 15797.29 26794.36 19087.71 26394.36 257
UniMVSNet_ETH3D90.06 28588.58 29194.49 25494.67 29288.09 32197.81 31997.57 23783.91 33288.44 28197.41 22657.44 36397.62 25091.41 23588.59 24897.77 223
TranMVSNet+NR-MVSNet91.68 25290.61 25394.87 23593.69 30793.98 20899.69 15498.65 6291.03 23588.44 28196.83 25080.05 27196.18 32390.26 25976.89 34494.45 250
FMVSNet291.02 26089.56 27295.41 21997.53 21095.74 16498.98 25397.41 25687.05 29588.43 28395.00 31071.34 32596.24 32285.12 30685.21 28194.25 268
COLMAP_ROBcopyleft90.47 1492.18 23991.49 24194.25 26399.00 12688.04 32298.42 29996.70 32282.30 34188.43 28399.01 15176.97 29099.85 9986.11 30196.50 18294.86 238
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 13895.24 15699.52 2996.88 24198.64 5399.72 15198.24 17395.27 8288.42 28598.98 15682.76 24299.94 7397.10 14099.83 8599.96 74
v14890.70 26789.63 27093.92 27792.97 32690.97 27699.75 14096.89 30887.51 28888.27 28695.01 30881.67 25097.04 28587.40 28777.17 34193.75 312
DSMNet-mixed88.28 30288.24 29788.42 33989.64 35875.38 36798.06 31389.86 37585.59 31788.20 28792.14 34976.15 30191.95 36378.46 34096.05 18997.92 219
WR-MVS92.31 23691.25 24495.48 21794.45 29495.29 17799.60 17398.68 5890.10 25088.07 28896.89 24480.68 26396.80 30193.14 21879.67 32394.36 257
test0.0.03 193.86 19693.61 18994.64 24495.02 28792.18 25199.93 6798.58 7594.07 12987.96 28998.50 19293.90 9894.96 34381.33 32893.17 22496.78 230
XXY-MVS91.82 24490.46 25495.88 20893.91 30395.40 17598.87 26797.69 22288.63 27687.87 29097.08 23674.38 31597.89 24291.66 23384.07 29194.35 260
Patchmtry89.70 29088.49 29293.33 29296.24 25689.94 30191.37 36496.23 33378.22 35287.69 29193.31 33891.04 16196.03 32980.18 33482.10 30094.02 290
DIV-MVS_self_test92.32 23591.60 23694.47 25597.31 22292.74 23599.58 17596.75 31986.99 29887.64 29295.54 28389.55 18096.50 31188.58 27282.44 29894.17 273
D2MVS92.76 22492.59 21893.27 29495.13 28389.54 30599.69 15499.38 2292.26 20087.59 29394.61 32285.05 22797.79 24491.59 23488.01 25892.47 339
cl____92.31 23691.58 23794.52 25197.33 22192.77 23399.57 17896.78 31886.97 29987.56 29495.51 28689.43 18196.62 30788.60 27182.44 29894.16 278
v890.54 27289.17 28094.66 24393.43 31293.40 22499.20 22796.94 30485.76 31387.56 29494.51 32381.96 24897.19 27284.94 30878.25 33093.38 324
miper_lstm_enhance91.81 24591.39 24393.06 30097.34 21989.18 30899.38 20696.79 31786.70 30287.47 29695.22 30390.00 17595.86 33388.26 27681.37 30694.15 279
anonymousdsp91.79 25090.92 24894.41 26090.76 35192.93 23298.93 25997.17 27489.08 26187.46 29795.30 29878.43 28496.92 29492.38 22588.73 24493.39 323
jajsoiax91.92 24391.18 24594.15 26591.35 34690.95 27799.00 25097.42 25492.61 18687.38 29897.08 23672.46 32197.36 25794.53 18888.77 24394.13 283
mvs_tets91.81 24591.08 24694.00 27491.63 34490.58 28598.67 28597.43 25292.43 19687.37 29997.05 23971.76 32397.32 26394.75 18288.68 24594.11 284
v1090.25 28088.82 28794.57 24993.53 31093.43 22299.08 23796.87 31085.00 32387.34 30094.51 32380.93 26097.02 29082.85 32079.23 32493.26 326
pmmvs590.17 28389.09 28293.40 29192.10 33889.77 30299.74 14395.58 34785.88 31287.24 30195.74 27473.41 31996.48 31288.54 27383.56 29493.95 298
ACMP92.05 992.74 22592.42 22293.73 28295.91 26488.72 31199.81 12197.53 24294.13 12587.00 30298.23 20274.07 31698.47 19496.22 15588.86 24293.99 295
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
MVS-HIRNet86.22 31083.19 32295.31 22296.71 25190.29 29192.12 36097.33 26362.85 36786.82 30370.37 37169.37 33297.49 25375.12 35197.99 15698.15 216
Anonymous2023121189.86 28788.44 29394.13 26798.93 13290.68 28198.54 29198.26 17176.28 35586.73 30495.54 28370.60 32997.56 25190.82 24980.27 32094.15 279
v7n89.65 29188.29 29693.72 28392.22 33690.56 28699.07 24197.10 28285.42 32186.73 30494.72 31680.06 27097.13 27681.14 32978.12 33293.49 320
IterMVS-SCA-FT90.85 26590.16 26492.93 30196.72 25089.96 29898.89 26296.99 29588.95 26886.63 30695.67 27776.48 29695.00 34287.04 29284.04 29393.84 307
EU-MVSNet90.14 28490.34 25889.54 33192.55 33381.06 35998.69 28398.04 19691.41 22886.59 30796.84 24980.83 26193.31 35986.20 29981.91 30294.26 266
OpenMVScopyleft90.15 1594.77 17593.59 19298.33 12796.07 25897.48 10199.56 18098.57 7790.46 24486.51 30898.95 16478.57 28199.94 7393.86 19999.74 9697.57 227
IterMVS90.91 26290.17 26393.12 29796.78 24890.42 29098.89 26297.05 29089.03 26386.49 30995.42 29076.59 29595.02 34187.22 29084.09 29093.93 300
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
WR-MVS_H91.30 25490.35 25794.15 26594.17 29992.62 24299.17 23098.94 3788.87 27086.48 31094.46 32784.36 23196.61 30888.19 27778.51 32993.21 328
MS-PatchMatch90.65 26890.30 25991.71 31594.22 29885.50 33698.24 30597.70 22188.67 27486.42 31196.37 26067.82 33998.03 23483.62 31699.62 10491.60 347
CP-MVSNet91.23 25790.22 26194.26 26293.96 30292.39 24699.09 23598.57 7788.95 26886.42 31196.57 25579.19 27696.37 31590.29 25878.95 32694.02 290
test_part192.15 24090.72 25096.44 19498.87 14097.46 10398.99 25198.26 17185.89 31086.34 31396.34 26181.71 24997.48 25491.06 24178.99 32594.37 255
LF4IMVS89.25 29788.85 28690.45 32592.81 33181.19 35898.12 31094.79 36091.44 22586.29 31497.11 23465.30 34998.11 22988.53 27485.25 28092.07 342
PVSNet_088.03 1991.80 24890.27 26096.38 19898.27 16990.46 28899.94 6199.61 1293.99 13586.26 31597.39 22871.13 32899.89 8498.77 7867.05 36298.79 208
PS-CasMVS90.63 27089.51 27593.99 27593.83 30491.70 26698.98 25398.52 9288.48 27886.15 31696.53 25775.46 30496.31 31888.83 27078.86 32893.95 298
FMVSNet188.50 30086.64 30694.08 26895.62 27991.97 25398.43 29696.95 30083.00 33686.08 31794.72 31659.09 36196.11 32481.82 32784.07 29194.17 273
PEN-MVS90.19 28289.06 28393.57 28993.06 32490.90 27899.06 24298.47 10588.11 28285.91 31896.30 26276.67 29395.94 33287.07 29176.91 34393.89 303
ppachtmachnet_test89.58 29288.35 29493.25 29592.40 33490.44 28999.33 21296.73 32085.49 31985.90 31995.77 27381.09 25896.00 33176.00 35082.49 29793.30 325
OurMVSNet-221017-089.81 28889.48 27790.83 32191.64 34381.21 35798.17 30995.38 35291.48 22385.65 32097.31 22972.66 32097.29 26788.15 27884.83 28493.97 297
our_test_390.39 27489.48 27793.12 29792.40 33489.57 30499.33 21296.35 33287.84 28685.30 32194.99 31184.14 23496.09 32780.38 33284.56 28693.71 317
testgi89.01 29888.04 29991.90 31393.49 31184.89 34099.73 14895.66 34593.89 14385.14 32298.17 20359.68 36094.66 34777.73 34388.88 24096.16 236
DTE-MVSNet89.40 29388.24 29792.88 30292.66 33289.95 29999.10 23498.22 17687.29 29285.12 32396.22 26476.27 29995.30 34083.56 31775.74 34793.41 321
FMVSNet588.32 30187.47 30390.88 31996.90 24088.39 31897.28 32595.68 34482.60 34084.67 32492.40 34779.83 27291.16 36576.39 34981.51 30593.09 329
tfpnnormal89.29 29587.61 30294.34 26194.35 29694.13 20398.95 25798.94 3783.94 33084.47 32595.51 28674.84 31197.39 25677.05 34780.41 31791.48 349
MVP-Stereo90.93 26190.45 25692.37 30791.25 34888.76 31098.05 31496.17 33587.27 29384.04 32695.30 29878.46 28397.27 26983.78 31599.70 10091.09 350
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
LTVRE_ROB88.28 1890.29 27989.05 28494.02 27195.08 28590.15 29497.19 32797.43 25284.91 32683.99 32797.06 23874.00 31798.28 21984.08 31187.71 26393.62 318
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 29487.81 30194.01 27293.40 31491.93 25698.62 28896.48 32986.25 30783.86 32896.14 26673.68 31897.04 28586.16 30075.73 34893.04 331
USDC90.00 28688.96 28593.10 29994.81 28988.16 32098.71 28195.54 34893.66 15083.75 32997.20 23265.58 34698.31 21683.96 31487.49 26792.85 334
CL-MVSNet_self_test84.50 32183.15 32388.53 33886.00 36681.79 35498.82 27297.35 26085.12 32283.62 33090.91 35476.66 29491.40 36469.53 35960.36 36792.40 340
ACMH+89.98 1690.35 27689.54 27392.78 30495.99 26186.12 33298.81 27397.18 27389.38 25883.14 33197.76 21868.42 33798.43 19989.11 26886.05 27493.78 311
Anonymous2023120686.32 30985.42 31189.02 33489.11 36080.53 36399.05 24695.28 35385.43 32082.82 33293.92 33174.40 31493.44 35866.99 36381.83 30393.08 330
KD-MVS_self_test83.59 32682.06 32688.20 34086.93 36480.70 36197.21 32696.38 33182.87 33782.49 33388.97 35767.63 34092.32 36173.75 35362.30 36691.58 348
SixPastTwentyTwo88.73 29988.01 30090.88 31991.85 34182.24 35098.22 30795.18 35888.97 26682.26 33496.89 24471.75 32496.67 30684.00 31282.98 29593.72 316
KD-MVS_2432*160088.00 30486.10 30893.70 28696.91 23794.04 20597.17 32897.12 28084.93 32481.96 33592.41 34592.48 13694.51 34879.23 33552.68 37092.56 336
miper_refine_blended88.00 30486.10 30893.70 28696.91 23794.04 20597.17 32897.12 28084.93 32481.96 33592.41 34592.48 13694.51 34879.23 33552.68 37092.56 336
TinyColmap87.87 30686.51 30791.94 31295.05 28685.57 33597.65 32194.08 36584.40 32981.82 33796.85 24762.14 35698.33 21480.25 33386.37 27391.91 346
ACMH89.72 1790.64 26989.63 27093.66 28895.64 27788.64 31498.55 28997.45 25089.03 26381.62 33897.61 22169.75 33198.41 20189.37 26587.62 26593.92 301
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Anonymous2024052185.15 31783.81 31889.16 33388.32 36182.69 34698.80 27595.74 34279.72 34881.53 33990.99 35265.38 34894.16 35072.69 35481.11 31090.63 355
pmmvs685.69 31183.84 31791.26 31890.00 35784.41 34297.82 31896.15 33675.86 35781.29 34095.39 29361.21 35896.87 29783.52 31873.29 35192.50 338
TransMVSNet (Re)87.25 30785.28 31293.16 29693.56 30991.03 27598.54 29194.05 36683.69 33481.09 34196.16 26575.32 30596.40 31476.69 34868.41 35992.06 343
test_method80.79 32979.70 33284.08 34692.83 32967.06 37199.51 18895.42 34954.34 36981.07 34293.53 33544.48 37292.22 36278.90 33977.23 34092.94 332
NR-MVSNet91.56 25390.22 26195.60 21294.05 30095.76 16398.25 30498.70 5691.16 23280.78 34396.64 25383.23 24196.57 30991.41 23577.73 33594.46 245
LCM-MVSNet-Re92.31 23692.60 21591.43 31697.53 21079.27 36599.02 24991.83 37292.07 20680.31 34494.38 32883.50 23895.48 33597.22 13797.58 16199.54 151
TDRefinement84.76 31882.56 32591.38 31774.58 37484.80 34197.36 32494.56 36384.73 32780.21 34596.12 26863.56 35398.39 20587.92 28163.97 36390.95 353
N_pmnet80.06 33280.78 33077.89 35091.94 33945.28 38198.80 27556.82 38478.10 35380.08 34693.33 33677.03 28995.76 33468.14 36282.81 29692.64 335
test_040285.58 31283.94 31690.50 32393.81 30585.04 33998.55 28995.20 35676.01 35679.72 34795.13 30464.15 35296.26 32166.04 36686.88 27090.21 358
test20.0384.72 32083.99 31486.91 34288.19 36380.62 36298.88 26495.94 33988.36 28078.87 34894.62 32168.75 33489.11 36966.52 36475.82 34691.00 351
pmmvs380.27 33177.77 33587.76 34180.32 37282.43 34998.23 30691.97 37172.74 36478.75 34987.97 35957.30 36490.99 36670.31 35762.37 36589.87 359
MIMVSNet182.58 32780.51 33188.78 33686.68 36584.20 34396.65 33595.41 35078.75 35178.59 35092.44 34451.88 36889.76 36865.26 36778.95 32692.38 341
DeepMVS_CXcopyleft82.92 34995.98 26358.66 37596.01 33892.72 17878.34 35195.51 28658.29 36298.08 23082.57 32185.29 27992.03 344
Patchmatch-RL test86.90 30885.98 31089.67 33084.45 36875.59 36689.71 36692.43 37086.89 30077.83 35290.94 35394.22 8793.63 35687.75 28369.61 35499.79 106
lessismore_v090.53 32290.58 35280.90 36095.80 34177.01 35395.84 27166.15 34596.95 29183.03 31975.05 34993.74 315
K. test v388.05 30387.24 30590.47 32491.82 34282.23 35198.96 25697.42 25489.05 26276.93 35495.60 28068.49 33695.42 33685.87 30381.01 31393.75 312
ambc83.23 34877.17 37362.61 37287.38 36894.55 36476.72 35586.65 36330.16 37496.36 31684.85 30969.86 35390.73 354
PM-MVS80.47 33078.88 33485.26 34583.79 37072.22 36895.89 34791.08 37385.71 31676.56 35688.30 35836.64 37393.90 35382.39 32269.57 35589.66 361
OpenMVS_ROBcopyleft79.82 2083.77 32581.68 32890.03 32888.30 36282.82 34598.46 29495.22 35573.92 36376.00 35791.29 35155.00 36596.94 29268.40 36188.51 25090.34 356
UnsupCasMVSNet_eth85.52 31383.99 31490.10 32789.36 35983.51 34496.65 33597.99 19889.14 26075.89 35893.83 33263.25 35493.92 35281.92 32667.90 36192.88 333
new_pmnet84.49 32282.92 32489.21 33290.03 35682.60 34796.89 33495.62 34680.59 34675.77 35989.17 35665.04 35094.79 34672.12 35581.02 31290.23 357
EG-PatchMatch MVS85.35 31683.81 31889.99 32990.39 35381.89 35398.21 30896.09 33781.78 34374.73 36093.72 33451.56 36997.12 27879.16 33888.61 24690.96 352
pmmvs-eth3d84.03 32481.97 32790.20 32684.15 36987.09 32798.10 31294.73 36283.05 33574.10 36187.77 36065.56 34794.01 35181.08 33069.24 35689.49 362
new-patchmatchnet81.19 32879.34 33386.76 34382.86 37180.36 36497.92 31695.27 35482.09 34272.02 36286.87 36262.81 35590.74 36771.10 35663.08 36489.19 364
ET-MVSNet_ETH3D94.37 18893.28 20497.64 15398.30 16597.99 7799.99 397.61 23294.35 11571.57 36399.45 12196.23 3195.34 33896.91 14885.14 28299.59 139
UnsupCasMVSNet_bld79.97 33377.03 33688.78 33685.62 36781.98 35293.66 35597.35 26075.51 36070.79 36483.05 36648.70 37194.91 34478.31 34160.29 36889.46 363
CMPMVSbinary61.59 2184.75 31985.14 31383.57 34790.32 35462.54 37396.98 33297.59 23674.33 36269.95 36596.66 25164.17 35198.32 21587.88 28288.41 25189.84 360
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
testmvs40.60 34544.45 34829.05 36219.49 38614.11 38799.68 15618.47 38520.74 37864.59 36698.48 19610.95 38317.09 38256.66 37211.01 37855.94 375
LCM-MVSNet67.77 33664.73 33976.87 35162.95 38056.25 37789.37 36793.74 36944.53 37261.99 36780.74 36720.42 38086.53 37169.37 36059.50 36987.84 365
PMMVS267.15 33764.15 34076.14 35270.56 37762.07 37493.89 35387.52 37958.09 36860.02 36878.32 36822.38 37984.54 37259.56 37047.03 37281.80 368
Gipumacopyleft66.95 33865.00 33872.79 35391.52 34567.96 37066.16 37395.15 35947.89 37158.54 36967.99 37329.74 37587.54 37050.20 37377.83 33462.87 373
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
YYNet185.50 31583.33 32092.00 31190.89 35088.38 31999.22 22696.55 32679.60 35057.26 37092.72 34179.09 27893.78 35577.25 34577.37 33993.84 307
MDA-MVSNet_test_wron85.51 31483.32 32192.10 31090.96 34988.58 31599.20 22796.52 32779.70 34957.12 37192.69 34379.11 27793.86 35477.10 34677.46 33893.86 306
MDA-MVSNet-bldmvs84.09 32381.52 32991.81 31491.32 34788.00 32398.67 28595.92 34080.22 34755.60 37293.32 33768.29 33893.60 35773.76 35276.61 34593.82 309
FPMVS68.72 33568.72 33768.71 35565.95 37844.27 38395.97 34694.74 36151.13 37053.26 37390.50 35525.11 37883.00 37360.80 36980.97 31478.87 369
test12337.68 34639.14 34933.31 36119.94 38524.83 38698.36 3009.75 38615.53 37951.31 37487.14 36119.62 38117.74 38147.10 3743.47 38057.36 374
tmp_tt65.23 33962.94 34272.13 35444.90 38350.03 37981.05 37089.42 37838.45 37348.51 37599.90 1954.09 36678.70 37591.84 23218.26 37787.64 366
E-PMN52.30 34252.18 34452.67 35971.51 37545.40 38093.62 35676.60 38236.01 37543.50 37664.13 37527.11 37767.31 37831.06 37826.06 37445.30 377
EMVS51.44 34451.22 34652.11 36070.71 37644.97 38294.04 35275.66 38335.34 37742.40 37761.56 37828.93 37665.87 37927.64 37924.73 37545.49 376
MVEpermissive53.74 2251.54 34347.86 34762.60 35759.56 38150.93 37879.41 37177.69 38135.69 37636.27 37861.76 3775.79 38669.63 37637.97 37736.61 37367.24 371
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
ANet_high56.10 34052.24 34367.66 35649.27 38256.82 37683.94 36982.02 38070.47 36533.28 37964.54 37417.23 38269.16 37745.59 37523.85 37677.02 370
PMVScopyleft49.05 2353.75 34151.34 34560.97 35840.80 38434.68 38474.82 37289.62 37737.55 37428.67 38072.12 3707.09 38481.63 37443.17 37668.21 36066.59 372
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
wuyk23d20.37 34820.84 35118.99 36365.34 37927.73 38550.43 3747.67 3879.50 3808.01 3816.34 3816.13 38526.24 38023.40 38010.69 3792.99 378
EGC-MVSNET69.38 33463.76 34186.26 34490.32 35481.66 35696.24 34193.85 3680.99 3813.22 38292.33 34852.44 36792.92 36059.53 37184.90 28384.21 367
test_blank0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.02 3820.00 3870.00 3830.00 3810.00 3810.00 379
uanet_test0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3830.00 3870.00 3830.00 3810.00 3810.00 379
DCPMVS0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3830.00 3870.00 3830.00 3810.00 3810.00 379
cdsmvs_eth3d_5k23.43 34731.24 3500.00 3640.00 3870.00 3880.00 37598.09 1910.00 3820.00 38399.67 10283.37 2390.00 3830.00 3810.00 3810.00 379
pcd_1.5k_mvsjas7.60 35010.13 3530.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 38391.20 1570.00 3830.00 3810.00 3810.00 379
sosnet-low-res0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3830.00 3870.00 3830.00 3810.00 3810.00 379
sosnet0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3830.00 3870.00 3830.00 3810.00 3810.00 379
uncertanet0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3830.00 3870.00 3830.00 3810.00 3810.00 379
Regformer0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3830.00 3870.00 3830.00 3810.00 3810.00 379
ab-mvs-re8.28 34911.04 3520.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 38399.40 1240.00 3870.00 3830.00 3810.00 3810.00 379
uanet0.00 3510.00 3540.00 3640.00 3870.00 3880.00 3750.00 3880.00 3820.00 3830.00 3830.00 3870.00 3830.00 3810.00 3810.00 379
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-test20.00 387
eth-test0.00 387
OPU-MVS99.93 299.89 5099.80 299.96 2599.80 6097.44 14100.00 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 6799.59 139
sam_mvs94.25 86
MTGPAbinary98.28 167
test_post195.78 34859.23 37993.20 11897.74 24691.06 241
test_post63.35 37694.43 7298.13 228
patchmatchnet-post91.70 35095.12 5297.95 239
MTMP99.87 9396.49 328
gm-plane-assit96.97 23593.76 21391.47 22498.96 16098.79 17694.92 174
test9_res99.71 3599.99 22100.00 1
agg_prior299.48 42100.00 1100.00 1
test_prior498.05 7499.94 61
test_prior99.43 3899.94 1498.49 6198.65 6299.80 11199.99 24
新几何299.40 201
旧先验199.76 7997.52 9598.64 6599.85 3595.63 4399.94 6199.99 24
无先验99.49 19298.71 5593.46 155100.00 194.36 19099.99 24
原ACMM299.90 80
testdata299.99 4090.54 253
segment_acmp96.68 26
testdata199.28 22196.35 52
plane_prior795.71 27491.59 270
plane_prior695.76 26991.72 26580.47 268
plane_prior597.87 21198.37 21197.79 12289.55 23394.52 241
plane_prior498.59 187
plane_prior299.84 11296.38 48
plane_prior195.73 271
plane_prior91.74 26299.86 10596.76 3689.59 232
n20.00 388
nn0.00 388
door-mid89.69 376
test1198.44 112
door90.31 374
HQP5-MVS91.85 258
BP-MVS97.92 117
HQP3-MVS97.89 20989.60 230
HQP2-MVS80.65 264
NP-MVS95.77 26891.79 26098.65 183
ACMMP++_ref87.04 268
ACMMP++88.23 254
Test By Simon92.82 128