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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
DVP-MVS++98.06 197.99 198.28 998.67 6695.39 1199.29 198.28 2894.78 3798.93 698.87 696.04 299.86 997.45 999.58 2299.59 20
SED-MVS98.05 297.99 198.24 1099.42 795.30 1898.25 3498.27 3195.13 1999.19 198.89 495.54 599.85 1897.52 599.66 1099.56 27
DVP-MVScopyleft97.91 397.81 398.22 1299.45 395.36 1398.21 4197.85 11894.92 2898.73 1098.87 695.08 899.84 2397.52 599.67 699.48 47
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
DPE-MVScopyleft97.86 497.65 598.47 599.17 3495.78 797.21 14098.35 2095.16 1898.71 1298.80 1195.05 1099.89 496.70 2799.73 199.73 9
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
APDe-MVS97.82 597.73 498.08 1899.15 3594.82 2998.81 698.30 2594.76 3998.30 1798.90 393.77 1799.68 5197.93 199.69 399.75 5
CNVR-MVS97.68 697.44 998.37 798.90 5595.86 697.27 13198.08 6895.81 397.87 2898.31 5194.26 1399.68 5197.02 1799.49 4099.57 24
SteuartSystems-ACMMP97.62 797.53 797.87 2798.39 8794.25 4298.43 2198.27 3195.34 1098.11 2098.56 2094.53 1299.71 4296.57 3199.62 1599.65 12
Skip Steuart: Steuart Systems R&D Blog.
MSP-MVS97.59 897.54 697.73 4199.40 1293.77 6298.53 1398.29 2695.55 598.56 1497.81 9193.90 1599.65 5796.62 2899.21 7599.77 1
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
TSAR-MVS + MP.97.42 997.33 1197.69 4599.25 2994.24 4398.07 5197.85 11893.72 6798.57 1398.35 4293.69 1899.40 11397.06 1499.46 4499.44 53
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
SD-MVS97.41 1097.53 797.06 7498.57 7994.46 3497.92 6498.14 5794.82 3499.01 398.55 2294.18 1497.41 31196.94 1899.64 1399.32 66
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
SF-MVS97.39 1197.13 1398.17 1499.02 4695.28 2098.23 3898.27 3192.37 11898.27 1898.65 1693.33 2199.72 3996.49 3399.52 2999.51 39
xxxxxxxxxxxxxcwj97.36 1297.20 1297.83 2998.91 5394.28 3997.02 15397.22 19295.35 898.27 1898.65 1693.33 2199.72 3996.49 3399.52 2999.51 39
SMA-MVScopyleft97.35 1397.03 1898.30 899.06 4295.42 1097.94 6298.18 5090.57 17998.85 998.94 193.33 2199.83 2696.72 2699.68 499.63 14
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
HPM-MVS++copyleft97.34 1496.97 2198.47 599.08 4096.16 497.55 10497.97 10395.59 496.61 6797.89 8192.57 3599.84 2395.95 5499.51 3399.40 59
NCCC97.30 1597.03 1898.11 1798.77 6195.06 2697.34 12398.04 8595.96 297.09 5197.88 8393.18 2499.71 4295.84 5999.17 8099.56 27
ACMMP_NAP97.20 1696.86 2698.23 1199.09 3895.16 2497.60 9998.19 4892.82 10697.93 2598.74 1391.60 5999.86 996.26 3899.52 2999.67 11
XVS97.18 1796.96 2297.81 3399.38 1594.03 5498.59 1198.20 4694.85 3096.59 6998.29 5491.70 5699.80 3195.66 6399.40 5199.62 16
MCST-MVS97.18 1796.84 2998.20 1399.30 2695.35 1597.12 14898.07 7493.54 7596.08 8897.69 9993.86 1699.71 4296.50 3299.39 5399.55 31
Regformer-297.16 1996.99 2097.67 4698.32 9393.84 5796.83 17498.10 6595.24 1397.49 3198.25 5992.57 3599.61 6696.80 2299.29 6399.56 27
HFP-MVS97.14 2096.92 2497.83 2999.42 794.12 4998.52 1498.32 2293.21 8797.18 4498.29 5492.08 4499.83 2695.63 6899.59 1799.54 34
Regformer-197.10 2196.96 2297.54 5298.32 9393.48 6896.83 17497.99 10195.20 1597.46 3298.25 5992.48 3999.58 7596.79 2499.29 6399.55 31
MTAPA97.08 2296.78 3597.97 2599.37 1794.42 3697.24 13398.08 6895.07 2496.11 8698.59 1890.88 7699.90 296.18 4799.50 3699.58 22
ETH3D-3000-0.197.07 2396.71 4098.14 1698.90 5595.33 1797.68 8898.24 3891.57 14097.90 2698.37 4092.61 3499.66 5695.59 7399.51 3399.43 55
zzz-MVS97.07 2396.77 3697.97 2599.37 1794.42 3697.15 14698.08 6895.07 2496.11 8698.59 1890.88 7699.90 296.18 4799.50 3699.58 22
region2R97.07 2396.84 2997.77 3899.46 293.79 5998.52 1498.24 3893.19 9097.14 4798.34 4591.59 6099.87 895.46 7599.59 1799.64 13
ACMMPR97.07 2396.84 2997.79 3599.44 693.88 5698.52 1498.31 2493.21 8797.15 4698.33 4891.35 6599.86 995.63 6899.59 1799.62 16
#test#97.02 2796.75 3797.83 2999.42 794.12 4998.15 4698.32 2292.57 11497.18 4498.29 5492.08 4499.83 2695.12 8199.59 1799.54 34
CP-MVS97.02 2796.81 3297.64 4999.33 2393.54 6698.80 798.28 2892.99 9696.45 7798.30 5391.90 5099.85 1895.61 7099.68 499.54 34
SR-MVS97.01 2996.86 2697.47 5499.09 3893.27 7697.98 5698.07 7493.75 6697.45 3398.48 2991.43 6299.59 7296.22 4199.27 6799.54 34
Regformer-496.97 3096.87 2597.25 6498.34 9092.66 9096.96 16298.01 9595.12 2297.14 4798.42 3591.82 5199.61 6696.90 1999.13 8399.50 43
ZNCC-MVS96.96 3196.67 4297.85 2899.37 1794.12 4998.49 1898.18 5092.64 11396.39 7998.18 6691.61 5899.88 595.59 7399.55 2599.57 24
APD-MVScopyleft96.95 3296.60 4598.01 2299.03 4594.93 2897.72 8498.10 6591.50 14298.01 2298.32 5092.33 4099.58 7594.85 8999.51 3399.53 38
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
MSLP-MVS++96.94 3397.06 1596.59 8698.72 6391.86 11797.67 8998.49 1394.66 4397.24 4298.41 3892.31 4298.94 15896.61 2999.46 4498.96 101
test117296.93 3496.86 2697.15 7099.10 3692.34 9997.96 6198.04 8593.79 6597.35 3998.53 2491.40 6399.56 8596.30 3799.30 6299.55 31
testtj96.93 3496.56 4898.05 2099.10 3694.66 3197.78 7698.22 4392.74 10997.59 2998.20 6591.96 4999.86 994.21 10399.25 7199.63 14
DeepC-MVS_fast93.89 296.93 3496.64 4397.78 3698.64 7494.30 3897.41 11598.04 8594.81 3596.59 6998.37 4091.24 6799.64 6595.16 7999.52 2999.42 58
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
SR-MVS-dyc-post96.88 3796.80 3397.11 7399.02 4692.34 9997.98 5698.03 8893.52 7797.43 3698.51 2691.40 6399.56 8596.05 5099.26 6999.43 55
mPP-MVS96.86 3896.60 4597.64 4999.40 1293.44 6998.50 1798.09 6793.27 8695.95 9598.33 4891.04 7299.88 595.20 7899.57 2499.60 19
GST-MVS96.85 3996.52 5097.82 3299.36 2094.14 4898.29 2998.13 5892.72 11096.70 6098.06 7291.35 6599.86 994.83 9199.28 6599.47 50
Regformer-396.85 3996.80 3397.01 7598.34 9092.02 11396.96 16297.76 12295.01 2697.08 5298.42 3591.71 5599.54 9096.80 2299.13 8399.48 47
patch_mono-296.83 4197.44 995.01 17199.05 4385.39 29196.98 16098.77 594.70 4197.99 2398.66 1493.61 1999.91 197.67 499.50 3699.72 10
APD-MVS_3200maxsize96.81 4296.71 4097.12 7299.01 4992.31 10297.98 5698.06 7793.11 9397.44 3498.55 2290.93 7499.55 8896.06 4999.25 7199.51 39
PGM-MVS96.81 4296.53 4997.65 4799.35 2293.53 6797.65 9298.98 192.22 12197.14 4798.44 3291.17 7099.85 1894.35 10199.46 4499.57 24
CS-MVS96.79 4497.05 1696.00 12598.17 11190.38 17099.09 397.89 10995.31 1297.02 5598.02 7591.74 5398.71 18097.06 1499.18 7898.90 109
MP-MVScopyleft96.77 4596.45 5597.72 4299.39 1493.80 5898.41 2298.06 7793.37 8295.54 11298.34 4590.59 8199.88 594.83 9199.54 2799.49 45
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
PHI-MVS96.77 4596.46 5497.71 4498.40 8594.07 5298.21 4198.45 1689.86 19197.11 5098.01 7792.52 3799.69 4896.03 5399.53 2899.36 64
MP-MVS-pluss96.70 4796.27 5997.98 2499.23 3294.71 3096.96 16298.06 7790.67 17095.55 11098.78 1291.07 7199.86 996.58 3099.55 2599.38 62
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
TSAR-MVS + GP.96.69 4896.49 5197.27 6398.31 9593.39 7096.79 17896.72 23594.17 5497.44 3497.66 10392.76 2799.33 11896.86 2197.76 12999.08 89
HPM-MVScopyleft96.69 4896.45 5597.40 5699.36 2093.11 7998.87 598.06 7791.17 15896.40 7897.99 7890.99 7399.58 7595.61 7099.61 1699.49 45
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
MVS_111021_HR96.68 5096.58 4796.99 7698.46 8192.31 10296.20 23398.90 294.30 5395.86 9797.74 9692.33 4099.38 11696.04 5299.42 4999.28 71
DELS-MVS96.61 5196.38 5797.30 6097.79 13093.19 7795.96 24598.18 5095.23 1495.87 9697.65 10491.45 6199.70 4795.87 5599.44 4899.00 99
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
DeepPCF-MVS93.97 196.61 5197.09 1495.15 16598.09 11486.63 27196.00 24398.15 5595.43 697.95 2498.56 2093.40 2099.36 11796.77 2599.48 4199.45 51
ETH3D cwj APD-0.1696.56 5396.06 6498.05 2098.26 9995.19 2296.99 15898.05 8489.85 19397.26 4198.22 6191.80 5299.69 4894.84 9099.28 6599.27 73
EI-MVSNet-Vis-set96.51 5496.47 5296.63 8398.24 10091.20 14096.89 16997.73 12694.74 4096.49 7398.49 2890.88 7699.58 7596.44 3598.32 11399.13 83
HPM-MVS_fast96.51 5496.27 5997.22 6799.32 2492.74 8798.74 898.06 7790.57 17996.77 5798.35 4290.21 8599.53 9394.80 9499.63 1499.38 62
CS-MVS-test96.47 5696.62 4496.01 12498.18 10990.40 16898.40 2397.65 13895.33 1197.02 5596.79 14889.98 8898.72 17897.06 1499.18 7898.91 107
test_prior396.46 5796.20 6297.23 6598.67 6692.99 8196.35 21898.00 9792.80 10796.03 8997.59 11192.01 4699.41 11195.01 8499.38 5499.29 68
DROMVSNet96.42 5896.47 5296.26 11197.01 16791.52 12798.89 497.75 12394.42 4896.64 6597.68 10089.32 9298.60 18997.45 999.11 8898.67 129
abl_696.40 5996.21 6196.98 7798.89 5892.20 10797.89 6598.03 8893.34 8597.22 4398.42 3587.93 11099.72 3995.10 8299.07 8999.02 92
CANet96.39 6096.02 6597.50 5397.62 14093.38 7197.02 15397.96 10495.42 794.86 12197.81 9187.38 12199.82 2996.88 2099.20 7699.29 68
dcpmvs_296.37 6197.05 1694.31 20898.96 5084.11 30997.56 10297.51 15393.92 5997.43 3698.52 2592.75 2899.32 12097.32 1399.50 3699.51 39
EI-MVSNet-UG-set96.34 6296.30 5896.47 9498.20 10590.93 15196.86 17097.72 12994.67 4296.16 8598.46 3090.43 8299.58 7596.23 4097.96 12398.90 109
train_agg96.30 6395.83 6997.72 4298.70 6494.19 4496.41 21098.02 9288.58 23196.03 8997.56 11592.73 3099.59 7295.04 8399.37 5899.39 60
ACMMPcopyleft96.27 6495.93 6697.28 6299.24 3092.62 9298.25 3498.81 392.99 9694.56 12798.39 3988.96 9699.85 1894.57 10097.63 13099.36 64
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
MVS_111021_LR96.24 6596.19 6396.39 10198.23 10491.35 13396.24 23198.79 493.99 5895.80 9997.65 10489.92 9099.24 12695.87 5599.20 7698.58 131
agg_prior196.22 6695.77 7097.56 5198.67 6693.79 5996.28 22698.00 9788.76 22895.68 10497.55 11792.70 3299.57 8395.01 8499.32 5999.32 66
ETH3 D test640096.16 6795.52 7398.07 1998.90 5595.06 2697.03 15098.21 4488.16 24596.64 6597.70 9891.18 6999.67 5392.44 13899.47 4299.48 47
DeepC-MVS93.07 396.06 6895.66 7197.29 6197.96 11893.17 7897.30 12998.06 7793.92 5993.38 15298.66 1486.83 12799.73 3695.60 7299.22 7498.96 101
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
CSCG96.05 6995.91 6796.46 9699.24 3090.47 16498.30 2898.57 1289.01 21493.97 13997.57 11392.62 3399.76 3494.66 9799.27 6799.15 81
ETV-MVS96.02 7095.89 6896.40 9997.16 15492.44 9797.47 11297.77 12194.55 4596.48 7494.51 26391.23 6898.92 15995.65 6698.19 11697.82 179
canonicalmvs96.02 7095.45 7697.75 4097.59 14395.15 2598.28 3097.60 14394.52 4696.27 8296.12 18987.65 11499.18 13196.20 4694.82 18898.91 107
CDPH-MVS95.97 7295.38 7997.77 3898.93 5194.44 3596.35 21897.88 11286.98 27596.65 6497.89 8191.99 4899.47 10492.26 13999.46 4499.39 60
UA-Net95.95 7395.53 7297.20 6997.67 13592.98 8397.65 9298.13 5894.81 3596.61 6798.35 4288.87 9799.51 9890.36 17897.35 14099.11 87
VNet95.89 7495.45 7697.21 6898.07 11692.94 8497.50 10798.15 5593.87 6197.52 3097.61 11085.29 14799.53 9395.81 6095.27 18099.16 79
alignmvs95.87 7595.23 8397.78 3697.56 14695.19 2297.86 6797.17 19594.39 5096.47 7596.40 17785.89 14099.20 12896.21 4595.11 18498.95 103
DPM-MVS95.69 7694.92 8998.01 2298.08 11595.71 995.27 27597.62 14290.43 18295.55 11097.07 13791.72 5499.50 10189.62 19298.94 9598.82 118
DP-MVS Recon95.68 7795.12 8797.37 5799.19 3394.19 4497.03 15098.08 6888.35 23895.09 11997.65 10489.97 8999.48 10392.08 14898.59 10598.44 148
casdiffmvs95.64 7895.49 7496.08 11796.76 18090.45 16597.29 13097.44 17194.00 5795.46 11497.98 7987.52 11898.73 17595.64 6797.33 14199.08 89
MG-MVS95.61 7995.38 7996.31 10698.42 8490.53 16296.04 23997.48 15693.47 7995.67 10798.10 6889.17 9499.25 12591.27 16698.77 9999.13 83
baseline95.58 8095.42 7896.08 11796.78 17790.41 16797.16 14497.45 16793.69 7095.65 10897.85 8787.29 12298.68 18295.66 6397.25 14499.13 83
CPTT-MVS95.57 8195.19 8496.70 8099.27 2891.48 12898.33 2698.11 6387.79 25695.17 11898.03 7487.09 12599.61 6693.51 11999.42 4999.02 92
EIA-MVS95.53 8295.47 7595.71 14097.06 16289.63 18697.82 7297.87 11493.57 7193.92 14095.04 24090.61 8098.95 15794.62 9898.68 10298.54 133
3Dnovator+91.43 495.40 8394.48 10398.16 1596.90 17195.34 1698.48 1997.87 11494.65 4488.53 27098.02 7583.69 16899.71 4293.18 12798.96 9499.44 53
PS-MVSNAJ95.37 8495.33 8195.49 15497.35 14890.66 16095.31 27297.48 15693.85 6296.51 7295.70 21588.65 10199.65 5794.80 9498.27 11496.17 224
MVSFormer95.37 8495.16 8595.99 12696.34 20191.21 13898.22 3997.57 14791.42 14696.22 8397.32 12486.20 13797.92 26494.07 10699.05 9098.85 115
xiu_mvs_v2_base95.32 8695.29 8295.40 15997.22 15090.50 16395.44 26697.44 17193.70 6996.46 7696.18 18588.59 10499.53 9394.79 9697.81 12696.17 224
PVSNet_Blended_VisFu95.27 8794.91 9096.38 10298.20 10590.86 15397.27 13198.25 3690.21 18494.18 13497.27 12687.48 11999.73 3693.53 11897.77 12898.55 132
diffmvs95.25 8895.13 8695.63 14396.43 19789.34 20295.99 24497.35 18392.83 10596.31 8097.37 12386.44 13298.67 18396.26 3897.19 14698.87 114
Vis-MVSNetpermissive95.23 8994.81 9196.51 9197.18 15391.58 12598.26 3398.12 6094.38 5194.90 12098.15 6782.28 20198.92 15991.45 16398.58 10699.01 96
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
EPP-MVSNet95.22 9095.04 8895.76 13397.49 14789.56 19098.67 997.00 21490.69 16994.24 13397.62 10989.79 9198.81 16893.39 12496.49 16198.92 106
EPNet95.20 9194.56 9897.14 7192.80 33492.68 8997.85 7094.87 32196.64 192.46 16897.80 9386.23 13499.65 5793.72 11698.62 10499.10 88
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
3Dnovator91.36 595.19 9294.44 10597.44 5596.56 18893.36 7398.65 1098.36 1794.12 5589.25 25498.06 7282.20 20399.77 3393.41 12399.32 5999.18 78
OMC-MVS95.09 9394.70 9596.25 11398.46 8191.28 13496.43 20897.57 14792.04 13094.77 12397.96 8087.01 12699.09 14291.31 16596.77 15298.36 155
xiu_mvs_v1_base_debu95.01 9494.76 9295.75 13596.58 18591.71 11896.25 22897.35 18392.99 9696.70 6096.63 16382.67 19199.44 10896.22 4197.46 13396.11 229
xiu_mvs_v1_base95.01 9494.76 9295.75 13596.58 18591.71 11896.25 22897.35 18392.99 9696.70 6096.63 16382.67 19199.44 10896.22 4197.46 13396.11 229
xiu_mvs_v1_base_debi95.01 9494.76 9295.75 13596.58 18591.71 11896.25 22897.35 18392.99 9696.70 6096.63 16382.67 19199.44 10896.22 4197.46 13396.11 229
PAPM_NR95.01 9494.59 9796.26 11198.89 5890.68 15997.24 13397.73 12691.80 13592.93 16596.62 16689.13 9599.14 13689.21 20497.78 12798.97 100
lupinMVS94.99 9894.56 9896.29 10996.34 20191.21 13895.83 25196.27 26188.93 21996.22 8396.88 14686.20 13798.85 16595.27 7799.05 9098.82 118
Effi-MVS+94.93 9994.45 10496.36 10496.61 18291.47 12996.41 21097.41 17691.02 16394.50 12895.92 19887.53 11798.78 17093.89 11296.81 15198.84 117
IS-MVSNet94.90 10094.52 10196.05 12097.67 13590.56 16198.44 2096.22 26493.21 8793.99 13797.74 9685.55 14598.45 20289.98 18197.86 12499.14 82
MVS_Test94.89 10194.62 9695.68 14196.83 17589.55 19196.70 18697.17 19591.17 15895.60 10996.11 19287.87 11198.76 17393.01 13497.17 14798.72 124
PVSNet_Blended94.87 10294.56 9895.81 13298.27 9689.46 19795.47 26598.36 1788.84 22294.36 13096.09 19388.02 10799.58 7593.44 12198.18 11798.40 151
jason94.84 10394.39 10696.18 11595.52 23490.93 15196.09 23796.52 25189.28 20796.01 9397.32 12484.70 15498.77 17295.15 8098.91 9798.85 115
jason: jason.
API-MVS94.84 10394.49 10295.90 12997.90 12492.00 11497.80 7497.48 15689.19 21094.81 12296.71 15288.84 9899.17 13288.91 21098.76 10096.53 215
test_yl94.78 10594.23 10796.43 9797.74 13291.22 13696.85 17197.10 20191.23 15695.71 10296.93 14184.30 16099.31 12193.10 12895.12 18298.75 120
DCV-MVSNet94.78 10594.23 10796.43 9797.74 13291.22 13696.85 17197.10 20191.23 15695.71 10296.93 14184.30 16099.31 12193.10 12895.12 18298.75 120
112194.71 10793.83 11297.34 5898.57 7993.64 6496.04 23997.73 12681.56 33895.68 10497.85 8790.23 8499.65 5787.68 23399.12 8698.73 123
WTY-MVS94.71 10794.02 10996.79 7997.71 13492.05 11196.59 20197.35 18390.61 17694.64 12596.93 14186.41 13399.39 11491.20 16894.71 19298.94 104
sss94.51 10993.80 11396.64 8197.07 15991.97 11596.32 22298.06 7788.94 21894.50 12896.78 14984.60 15599.27 12491.90 14996.02 16598.68 128
CANet_DTU94.37 11093.65 11896.55 8796.46 19592.13 10996.21 23296.67 24394.38 5193.53 14897.03 13979.34 25099.71 4290.76 17298.45 11197.82 179
AdaColmapbinary94.34 11193.68 11796.31 10698.59 7691.68 12196.59 20197.81 12089.87 19092.15 17897.06 13883.62 17199.54 9089.34 19898.07 12097.70 183
CNLPA94.28 11293.53 12296.52 8898.38 8892.55 9496.59 20196.88 22690.13 18791.91 18497.24 12885.21 14899.09 14287.64 23697.83 12597.92 171
MAR-MVS94.22 11393.46 12696.51 9198.00 11792.19 10897.67 8997.47 15988.13 24793.00 16095.84 20284.86 15399.51 9887.99 22298.17 11897.83 178
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
PAPR94.18 11493.42 13096.48 9397.64 13991.42 13295.55 26197.71 13388.99 21592.34 17495.82 20489.19 9399.11 13886.14 26197.38 13898.90 109
h-mvs3394.15 11593.52 12396.04 12197.81 12890.22 17297.62 9897.58 14695.19 1696.74 5897.45 11983.67 16999.61 6695.85 5779.73 34298.29 158
CHOSEN 1792x268894.15 11593.51 12496.06 11998.27 9689.38 20095.18 27998.48 1585.60 29593.76 14397.11 13583.15 17899.61 6691.33 16498.72 10199.19 77
Vis-MVSNet (Re-imp)94.15 11593.88 11194.95 17797.61 14187.92 24298.10 4895.80 27892.22 12193.02 15997.45 11984.53 15797.91 26788.24 21897.97 12299.02 92
CDS-MVSNet94.14 11893.54 12195.93 12796.18 20891.46 13096.33 22197.04 21088.97 21793.56 14596.51 17087.55 11697.89 26889.80 18695.95 16798.44 148
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
PLCcopyleft91.00 694.11 11993.43 12896.13 11698.58 7891.15 14596.69 18897.39 17787.29 27091.37 19296.71 15288.39 10599.52 9787.33 24397.13 14897.73 181
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
FIs94.09 12093.70 11595.27 16195.70 22892.03 11298.10 4898.68 893.36 8490.39 21296.70 15487.63 11597.94 26192.25 14190.50 25195.84 238
PVSNet_BlendedMVS94.06 12193.92 11094.47 19998.27 9689.46 19796.73 18298.36 1790.17 18594.36 13095.24 23488.02 10799.58 7593.44 12190.72 24794.36 317
nrg03094.05 12293.31 13296.27 11095.22 25694.59 3298.34 2597.46 16192.93 10391.21 20296.64 15987.23 12498.22 21794.99 8785.80 29395.98 233
UGNet94.04 12393.28 13396.31 10696.85 17291.19 14197.88 6697.68 13494.40 4993.00 16096.18 18573.39 30999.61 6691.72 15498.46 11098.13 162
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
TAMVS94.01 12493.46 12695.64 14296.16 21090.45 16596.71 18596.89 22589.27 20893.46 15096.92 14487.29 12297.94 26188.70 21495.74 17298.53 134
114514_t93.95 12593.06 13796.63 8399.07 4191.61 12297.46 11497.96 10477.99 35493.00 16097.57 11386.14 13999.33 11889.22 20399.15 8198.94 104
FC-MVSNet-test93.94 12693.57 11995.04 16995.48 23691.45 13198.12 4798.71 693.37 8290.23 21596.70 15487.66 11397.85 27091.49 16190.39 25295.83 239
GeoE93.89 12793.28 13395.72 13996.96 17089.75 18598.24 3796.92 22289.47 20292.12 18097.21 13084.42 15898.39 20787.71 22996.50 16099.01 96
HY-MVS89.66 993.87 12892.95 14096.63 8397.10 15892.49 9695.64 25996.64 24489.05 21393.00 16095.79 20885.77 14399.45 10789.16 20794.35 19497.96 168
XVG-OURS-SEG-HR93.86 12993.55 12094.81 18397.06 16288.53 22695.28 27397.45 16791.68 13894.08 13697.68 10082.41 19998.90 16293.84 11492.47 21796.98 202
VDD-MVS93.82 13093.08 13696.02 12297.88 12589.96 18197.72 8495.85 27692.43 11695.86 9798.44 3268.42 33599.39 11496.31 3694.85 18698.71 126
mvs_anonymous93.82 13093.74 11494.06 21696.44 19685.41 28995.81 25297.05 20889.85 19390.09 22696.36 17987.44 12097.75 28193.97 10896.69 15699.02 92
HQP_MVS93.78 13293.43 12894.82 18196.21 20589.99 17797.74 7997.51 15394.85 3091.34 19396.64 15981.32 21798.60 18993.02 13292.23 22095.86 235
PS-MVSNAJss93.74 13393.51 12494.44 20093.91 30889.28 20797.75 7897.56 15092.50 11589.94 22996.54 16988.65 10198.18 22393.83 11590.90 24595.86 235
XVG-OURS93.72 13493.35 13194.80 18697.07 15988.61 22294.79 28397.46 16191.97 13393.99 13797.86 8681.74 21298.88 16492.64 13792.67 21596.92 206
HyFIR lowres test93.66 13592.92 14195.87 13098.24 10089.88 18294.58 28798.49 1385.06 30493.78 14295.78 20982.86 18798.67 18391.77 15395.71 17499.07 91
mvs-test193.63 13693.69 11693.46 25096.02 21784.61 30397.24 13396.72 23593.85 6292.30 17595.76 21083.08 18098.89 16391.69 15796.54 15996.87 208
LFMVS93.60 13792.63 15296.52 8898.13 11391.27 13597.94 6293.39 34490.57 17996.29 8198.31 5169.00 33199.16 13394.18 10595.87 16999.12 86
F-COLMAP93.58 13892.98 13995.37 16098.40 8588.98 21597.18 14297.29 18887.75 25990.49 20997.10 13685.21 14899.50 10186.70 25296.72 15597.63 185
ab-mvs93.57 13992.55 15696.64 8197.28 14991.96 11695.40 26797.45 16789.81 19593.22 15896.28 18279.62 24799.46 10590.74 17393.11 20998.50 138
LS3D93.57 13992.61 15496.47 9497.59 14391.61 12297.67 8997.72 12985.17 30290.29 21498.34 4584.60 15599.73 3683.85 29398.27 11498.06 167
Fast-Effi-MVS+93.46 14192.75 14795.59 14696.77 17890.03 17496.81 17797.13 19888.19 24191.30 19694.27 27986.21 13698.63 18687.66 23596.46 16398.12 163
hse-mvs293.45 14292.99 13894.81 18397.02 16688.59 22396.69 18896.47 25395.19 1696.74 5896.16 18883.67 16998.48 20195.85 5779.13 34697.35 197
QAPM93.45 14292.27 16696.98 7796.77 17892.62 9298.39 2498.12 6084.50 31288.27 27697.77 9482.39 20099.81 3085.40 27498.81 9898.51 137
UniMVSNet_NR-MVSNet93.37 14492.67 15195.47 15795.34 24592.83 8597.17 14398.58 1192.98 10190.13 22195.80 20588.37 10697.85 27091.71 15583.93 32295.73 248
1112_ss93.37 14492.42 16296.21 11497.05 16490.99 14796.31 22396.72 23586.87 27889.83 23396.69 15686.51 13199.14 13688.12 22093.67 20398.50 138
UniMVSNet (Re)93.31 14692.55 15695.61 14595.39 23993.34 7497.39 11998.71 693.14 9290.10 22594.83 24987.71 11298.03 24791.67 15983.99 32195.46 257
OPM-MVS93.28 14792.76 14594.82 18194.63 28790.77 15796.65 19297.18 19393.72 6791.68 18797.26 12779.33 25198.63 18692.13 14592.28 21995.07 281
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
VPA-MVSNet93.24 14892.48 16195.51 15195.70 22892.39 9897.86 6798.66 1092.30 11992.09 18295.37 22980.49 22998.40 20493.95 10985.86 29295.75 246
RRT_MVS93.21 14992.32 16595.91 12894.92 27194.15 4796.92 16696.86 22991.42 14691.28 19996.43 17479.66 24698.10 23293.29 12590.06 25495.46 257
MVSTER93.20 15092.81 14494.37 20496.56 18889.59 18997.06 14997.12 19991.24 15591.30 19695.96 19682.02 20698.05 24393.48 12090.55 24995.47 256
test111193.19 15192.82 14394.30 20997.58 14584.56 30498.21 4189.02 36593.53 7694.58 12698.21 6272.69 31099.05 15093.06 13098.48 10999.28 71
ECVR-MVScopyleft93.19 15192.73 14994.57 19797.66 13785.41 28998.21 4188.23 36693.43 8094.70 12498.21 6272.57 31199.07 14793.05 13198.49 10799.25 74
HQP-MVS93.19 15192.74 14894.54 19895.86 22089.33 20396.65 19297.39 17793.55 7290.14 21795.87 20080.95 22098.50 19792.13 14592.10 22595.78 242
CHOSEN 280x42093.12 15492.72 15094.34 20696.71 18187.27 25390.29 35197.72 12986.61 28291.34 19395.29 23184.29 16298.41 20393.25 12698.94 9597.35 197
Effi-MVS+-dtu93.08 15593.21 13592.68 27896.02 21783.25 32097.14 14796.72 23593.85 6291.20 20393.44 31083.08 18098.30 21391.69 15795.73 17396.50 217
test_djsdf93.07 15692.76 14594.00 22093.49 32188.70 22198.22 3997.57 14791.42 14690.08 22795.55 22382.85 18897.92 26494.07 10691.58 23295.40 263
VDDNet93.05 15792.07 16996.02 12296.84 17390.39 16998.08 5095.85 27686.22 28795.79 10098.46 3067.59 33899.19 12994.92 8894.85 18698.47 143
thisisatest053093.03 15892.21 16795.49 15497.07 15989.11 21397.49 11192.19 35290.16 18694.09 13596.41 17676.43 28999.05 15090.38 17795.68 17598.31 157
EI-MVSNet93.03 15892.88 14293.48 24895.77 22586.98 26296.44 20697.12 19990.66 17291.30 19697.64 10786.56 12998.05 24389.91 18390.55 24995.41 260
CLD-MVS92.98 16092.53 15894.32 20796.12 21489.20 20995.28 27397.47 15992.66 11189.90 23095.62 21880.58 22798.40 20492.73 13692.40 21895.38 265
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
tttt051792.96 16192.33 16494.87 18097.11 15787.16 25997.97 6092.09 35390.63 17493.88 14197.01 14076.50 28699.06 14990.29 18095.45 17798.38 153
ACMM89.79 892.96 16192.50 16094.35 20596.30 20388.71 22097.58 10097.36 18291.40 14990.53 20896.65 15879.77 24398.75 17491.24 16791.64 23095.59 252
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
LPG-MVS_test92.94 16392.56 15594.10 21496.16 21088.26 23297.65 9297.46 16191.29 15190.12 22397.16 13279.05 25498.73 17592.25 14191.89 22895.31 269
BH-untuned92.94 16392.62 15393.92 22997.22 15086.16 28096.40 21396.25 26390.06 18889.79 23496.17 18783.19 17698.35 20987.19 24697.27 14397.24 199
DU-MVS92.90 16592.04 17095.49 15494.95 26992.83 8597.16 14498.24 3893.02 9590.13 22195.71 21383.47 17297.85 27091.71 15583.93 32295.78 242
PatchMatch-RL92.90 16592.02 17295.56 14798.19 10790.80 15595.27 27597.18 19387.96 24991.86 18695.68 21680.44 23098.99 15584.01 28997.54 13296.89 207
PMMVS92.86 16792.34 16394.42 20394.92 27186.73 26794.53 28996.38 25784.78 30994.27 13295.12 23983.13 17998.40 20491.47 16296.49 16198.12 163
OpenMVScopyleft89.19 1292.86 16791.68 18396.40 9995.34 24592.73 8898.27 3198.12 6084.86 30785.78 31397.75 9578.89 26199.74 3587.50 24098.65 10396.73 212
Test_1112_low_res92.84 16991.84 17895.85 13197.04 16589.97 18095.53 26396.64 24485.38 29889.65 23995.18 23585.86 14199.10 13987.70 23093.58 20898.49 140
baseline192.82 17091.90 17695.55 14997.20 15290.77 15797.19 14194.58 32692.20 12392.36 17296.34 18084.16 16398.21 21889.20 20583.90 32597.68 184
131492.81 17192.03 17195.14 16695.33 24889.52 19496.04 23997.44 17187.72 26086.25 31095.33 23083.84 16698.79 16989.26 20197.05 14997.11 200
DP-MVS92.76 17291.51 19196.52 8898.77 6190.99 14797.38 12196.08 26982.38 33189.29 25197.87 8483.77 16799.69 4881.37 31396.69 15698.89 112
BH-RMVSNet92.72 17391.97 17494.97 17597.16 15487.99 24196.15 23595.60 28690.62 17591.87 18597.15 13478.41 26898.57 19383.16 29597.60 13198.36 155
ACMP89.59 1092.62 17492.14 16894.05 21796.40 19888.20 23597.36 12297.25 19191.52 14188.30 27496.64 15978.46 26698.72 17891.86 15291.48 23495.23 277
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
LCM-MVSNet-Re92.50 17592.52 15992.44 28196.82 17681.89 33096.92 16693.71 34092.41 11784.30 32694.60 26185.08 15097.03 32291.51 16097.36 13998.40 151
TranMVSNet+NR-MVSNet92.50 17591.63 18495.14 16694.76 28092.07 11097.53 10598.11 6392.90 10489.56 24296.12 18983.16 17797.60 29489.30 19983.20 33195.75 246
thres600view792.49 17791.60 18595.18 16497.91 12389.47 19597.65 9294.66 32392.18 12793.33 15394.91 24478.06 27599.10 13981.61 30794.06 20096.98 202
thres100view90092.43 17891.58 18694.98 17497.92 12289.37 20197.71 8694.66 32392.20 12393.31 15494.90 24578.06 27599.08 14481.40 31094.08 19796.48 218
jajsoiax92.42 17991.89 17794.03 21993.33 32688.50 22797.73 8197.53 15192.00 13288.85 26196.50 17175.62 29598.11 23193.88 11391.56 23395.48 254
thres40092.42 17991.52 18995.12 16897.85 12689.29 20597.41 11594.88 31892.19 12593.27 15694.46 26878.17 27199.08 14481.40 31094.08 19796.98 202
tfpn200view992.38 18191.52 18994.95 17797.85 12689.29 20597.41 11594.88 31892.19 12593.27 15694.46 26878.17 27199.08 14481.40 31094.08 19796.48 218
WR-MVS92.34 18291.53 18894.77 18895.13 26190.83 15496.40 21397.98 10291.88 13489.29 25195.54 22482.50 19697.80 27589.79 18785.27 30195.69 249
NR-MVSNet92.34 18291.27 19995.53 15094.95 26993.05 8097.39 11998.07 7492.65 11284.46 32495.71 21385.00 15197.77 28089.71 18883.52 32895.78 242
mvs_tets92.31 18491.76 17993.94 22793.41 32388.29 23097.63 9797.53 15192.04 13088.76 26596.45 17374.62 29998.09 23693.91 11191.48 23495.45 259
TAPA-MVS90.10 792.30 18591.22 20295.56 14798.33 9289.60 18896.79 17897.65 13881.83 33591.52 18997.23 12987.94 10998.91 16171.31 35798.37 11298.17 161
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
thisisatest051592.29 18691.30 19795.25 16296.60 18388.90 21794.36 29692.32 35187.92 25093.43 15194.57 26277.28 28299.00 15489.42 19695.86 17097.86 175
Fast-Effi-MVS+-dtu92.29 18691.99 17393.21 26195.27 25285.52 28797.03 15096.63 24792.09 12889.11 25695.14 23780.33 23398.08 23787.54 23994.74 19196.03 232
IterMVS-LS92.29 18691.94 17593.34 25596.25 20486.97 26396.57 20497.05 20890.67 17089.50 24594.80 25186.59 12897.64 28989.91 18386.11 29195.40 263
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
PVSNet86.66 1892.24 18991.74 18293.73 23597.77 13183.69 31792.88 33296.72 23587.91 25193.00 16094.86 24778.51 26599.05 15086.53 25397.45 13798.47 143
VPNet92.23 19091.31 19694.99 17295.56 23290.96 14997.22 13997.86 11792.96 10290.96 20496.62 16675.06 29798.20 22091.90 14983.65 32795.80 241
thres20092.23 19091.39 19294.75 19097.61 14189.03 21496.60 20095.09 30992.08 12993.28 15594.00 29178.39 26999.04 15381.26 31494.18 19696.19 223
test_part192.21 19291.10 20695.51 15197.80 12992.66 9098.02 5497.68 13489.79 19688.80 26496.02 19476.85 28498.18 22390.86 17084.11 32095.69 249
anonymousdsp92.16 19391.55 18793.97 22392.58 33889.55 19197.51 10697.42 17589.42 20488.40 27194.84 24880.66 22697.88 26991.87 15191.28 23894.48 313
XXY-MVS92.16 19391.23 20194.95 17794.75 28190.94 15097.47 11297.43 17489.14 21188.90 25896.43 17479.71 24498.24 21589.56 19387.68 27595.67 251
BH-w/o92.14 19591.75 18093.31 25696.99 16985.73 28495.67 25695.69 28288.73 22989.26 25394.82 25082.97 18598.07 24085.26 27696.32 16496.13 228
Anonymous20240521192.07 19690.83 21595.76 13398.19 10788.75 21997.58 10095.00 31286.00 29093.64 14497.45 11966.24 34899.53 9390.68 17592.71 21399.01 96
WR-MVS_H92.00 19791.35 19393.95 22595.09 26389.47 19598.04 5398.68 891.46 14488.34 27294.68 25785.86 14197.56 29685.77 26984.24 31894.82 298
Anonymous2024052991.98 19890.73 22095.73 13898.14 11289.40 19997.99 5597.72 12979.63 34893.54 14797.41 12269.94 32999.56 8591.04 16991.11 24098.22 159
PatchmatchNetpermissive91.91 19991.35 19393.59 24395.38 24084.11 30993.15 32895.39 29289.54 19992.10 18193.68 30382.82 18998.13 22784.81 28095.32 17998.52 135
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
CP-MVSNet91.89 20091.24 20093.82 23295.05 26488.57 22497.82 7298.19 4891.70 13788.21 27895.76 21081.96 20797.52 30287.86 22484.65 31095.37 266
SCA91.84 20191.18 20493.83 23195.59 23084.95 29994.72 28495.58 28890.82 16492.25 17693.69 30175.80 29298.10 23286.20 25995.98 16698.45 145
FMVSNet391.78 20290.69 22295.03 17096.53 19092.27 10497.02 15396.93 21889.79 19689.35 24894.65 25977.01 28397.47 30586.12 26288.82 26495.35 267
AUN-MVS91.76 20390.75 21994.81 18397.00 16888.57 22496.65 19296.49 25289.63 19892.15 17896.12 18978.66 26398.50 19790.83 17179.18 34597.36 196
X-MVStestdata91.71 20489.67 26497.81 3399.38 1594.03 5498.59 1198.20 4694.85 3096.59 6932.69 37391.70 5699.80 3195.66 6399.40 5199.62 16
MVS91.71 20490.44 23095.51 15195.20 25891.59 12496.04 23997.45 16773.44 36187.36 29595.60 21985.42 14699.10 13985.97 26697.46 13395.83 239
EPNet_dtu91.71 20491.28 19892.99 26793.76 31383.71 31596.69 18895.28 29993.15 9187.02 30295.95 19783.37 17597.38 31379.46 32596.84 15097.88 174
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
baseline291.63 20790.86 21193.94 22794.33 29786.32 27495.92 24791.64 35789.37 20586.94 30394.69 25681.62 21498.69 18188.64 21594.57 19396.81 210
test250691.60 20890.78 21694.04 21897.66 13783.81 31298.27 3175.53 37793.43 8095.23 11698.21 6267.21 34199.07 14793.01 13498.49 10799.25 74
miper_ehance_all_eth91.59 20991.13 20592.97 26895.55 23386.57 27294.47 29096.88 22687.77 25788.88 26094.01 29086.22 13597.54 29889.49 19486.93 28294.79 303
v2v48291.59 20990.85 21393.80 23393.87 31088.17 23796.94 16596.88 22689.54 19989.53 24394.90 24581.70 21398.02 24889.25 20285.04 30795.20 278
V4291.58 21190.87 21093.73 23594.05 30588.50 22797.32 12696.97 21588.80 22789.71 23594.33 27482.54 19598.05 24389.01 20885.07 30594.64 311
PCF-MVS89.48 1191.56 21289.95 25296.36 10496.60 18392.52 9592.51 33897.26 18979.41 34988.90 25896.56 16884.04 16599.55 8877.01 33997.30 14297.01 201
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
bset_n11_16_dypcd91.55 21390.59 22594.44 20091.51 34790.25 17192.70 33593.42 34392.27 12090.22 21694.74 25478.42 26797.80 27594.19 10487.86 27495.29 276
PS-CasMVS91.55 21390.84 21493.69 23994.96 26888.28 23197.84 7198.24 3891.46 14488.04 28295.80 20579.67 24597.48 30487.02 24984.54 31595.31 269
miper_enhance_ethall91.54 21591.01 20793.15 26295.35 24487.07 26193.97 30896.90 22386.79 27989.17 25593.43 31286.55 13097.64 28989.97 18286.93 28294.74 307
PAPM91.52 21690.30 23695.20 16395.30 25189.83 18393.38 32496.85 23086.26 28688.59 26895.80 20584.88 15298.15 22675.67 34395.93 16897.63 185
ET-MVSNet_ETH3D91.49 21790.11 24695.63 14396.40 19891.57 12695.34 26993.48 34290.60 17875.58 35895.49 22680.08 23796.79 33194.25 10289.76 25898.52 135
TR-MVS91.48 21890.59 22594.16 21396.40 19887.33 25195.67 25695.34 29887.68 26191.46 19095.52 22576.77 28598.35 20982.85 29993.61 20696.79 211
tpmrst91.44 21991.32 19591.79 29895.15 25979.20 35393.42 32395.37 29488.55 23493.49 14993.67 30482.49 19798.27 21490.41 17689.34 26197.90 172
test-LLR91.42 22091.19 20392.12 28894.59 28880.66 33794.29 30092.98 34691.11 16090.76 20692.37 32479.02 25698.07 24088.81 21196.74 15397.63 185
MSDG91.42 22090.24 24094.96 17697.15 15688.91 21693.69 31796.32 25985.72 29486.93 30496.47 17280.24 23498.98 15680.57 31695.05 18596.98 202
c3_l91.38 22290.89 20992.88 27195.58 23186.30 27594.68 28596.84 23188.17 24388.83 26394.23 28285.65 14497.47 30589.36 19784.63 31194.89 293
GA-MVS91.38 22290.31 23594.59 19294.65 28587.62 24994.34 29796.19 26690.73 16890.35 21393.83 29571.84 31497.96 25887.22 24593.61 20698.21 160
v114491.37 22490.60 22493.68 24093.89 30988.23 23496.84 17397.03 21288.37 23789.69 23794.39 27082.04 20597.98 25187.80 22685.37 29894.84 295
GBi-Net91.35 22590.27 23894.59 19296.51 19191.18 14297.50 10796.93 21888.82 22489.35 24894.51 26373.87 30397.29 31786.12 26288.82 26495.31 269
test191.35 22590.27 23894.59 19296.51 19191.18 14297.50 10796.93 21888.82 22489.35 24894.51 26373.87 30397.29 31786.12 26288.82 26495.31 269
UniMVSNet_ETH3D91.34 22790.22 24394.68 19194.86 27687.86 24597.23 13897.46 16187.99 24889.90 23096.92 14466.35 34698.23 21690.30 17990.99 24397.96 168
FMVSNet291.31 22890.08 24794.99 17296.51 19192.21 10597.41 11596.95 21688.82 22488.62 26794.75 25373.87 30397.42 31085.20 27788.55 26995.35 267
D2MVS91.30 22990.95 20892.35 28494.71 28385.52 28796.18 23498.21 4488.89 22086.60 30793.82 29779.92 24197.95 26089.29 20090.95 24493.56 331
v891.29 23090.53 22993.57 24594.15 30188.12 23997.34 12397.06 20788.99 21588.32 27394.26 28183.08 18098.01 24987.62 23783.92 32494.57 312
CVMVSNet91.23 23191.75 18089.67 33195.77 22574.69 36296.44 20694.88 31885.81 29292.18 17797.64 10779.07 25395.58 34888.06 22195.86 17098.74 122
cl2291.21 23290.56 22893.14 26396.09 21686.80 26594.41 29496.58 25087.80 25588.58 26993.99 29280.85 22597.62 29289.87 18586.93 28294.99 284
PEN-MVS91.20 23390.44 23093.48 24894.49 29187.91 24497.76 7798.18 5091.29 15187.78 28795.74 21280.35 23297.33 31585.46 27382.96 33295.19 279
Baseline_NR-MVSNet91.20 23390.62 22392.95 26993.83 31188.03 24097.01 15795.12 30888.42 23689.70 23695.13 23883.47 17297.44 30889.66 19183.24 33093.37 335
cascas91.20 23390.08 24794.58 19694.97 26789.16 21293.65 31997.59 14579.90 34789.40 24692.92 31675.36 29698.36 20892.14 14494.75 19096.23 221
RRT_test8_iter0591.19 23690.78 21692.41 28395.76 22783.14 32197.32 12697.46 16191.37 15089.07 25795.57 22070.33 32498.21 21893.56 11786.62 28795.89 234
CostFormer91.18 23790.70 22192.62 27994.84 27781.76 33194.09 30694.43 32884.15 31592.72 16793.77 29979.43 24998.20 22090.70 17492.18 22397.90 172
v119291.07 23890.23 24193.58 24493.70 31487.82 24696.73 18297.07 20587.77 25789.58 24094.32 27680.90 22497.97 25486.52 25485.48 29694.95 285
v14419291.06 23990.28 23793.39 25293.66 31687.23 25696.83 17497.07 20587.43 26689.69 23794.28 27881.48 21598.00 25087.18 24784.92 30994.93 289
v1091.04 24090.23 24193.49 24794.12 30288.16 23897.32 12697.08 20488.26 24088.29 27594.22 28482.17 20497.97 25486.45 25684.12 31994.33 318
eth_miper_zixun_eth91.02 24190.59 22592.34 28595.33 24884.35 30594.10 30596.90 22388.56 23388.84 26294.33 27484.08 16497.60 29488.77 21384.37 31795.06 282
v14890.99 24290.38 23292.81 27493.83 31185.80 28396.78 18096.68 24189.45 20388.75 26693.93 29482.96 18697.82 27487.83 22583.25 32994.80 301
LTVRE_ROB88.41 1390.99 24289.92 25394.19 21196.18 20889.55 19196.31 22397.09 20387.88 25285.67 31495.91 19978.79 26298.57 19381.50 30889.98 25594.44 315
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
DIV-MVS_self_test90.97 24490.33 23392.88 27195.36 24386.19 27994.46 29296.63 24787.82 25388.18 27994.23 28282.99 18397.53 30087.72 22785.57 29594.93 289
cl____90.96 24590.32 23492.89 27095.37 24286.21 27894.46 29296.64 24487.82 25388.15 28094.18 28582.98 18497.54 29887.70 23085.59 29494.92 291
pmmvs490.93 24689.85 25694.17 21293.34 32590.79 15694.60 28696.02 27084.62 31087.45 29195.15 23681.88 21097.45 30787.70 23087.87 27394.27 322
XVG-ACMP-BASELINE90.93 24690.21 24493.09 26494.31 29985.89 28295.33 27097.26 18991.06 16289.38 24795.44 22868.61 33398.60 18989.46 19591.05 24194.79 303
v192192090.85 24890.03 25193.29 25793.55 31786.96 26496.74 18197.04 21087.36 26889.52 24494.34 27380.23 23597.97 25486.27 25785.21 30294.94 287
CR-MVSNet90.82 24989.77 26093.95 22594.45 29387.19 25790.23 35295.68 28486.89 27792.40 16992.36 32780.91 22297.05 32181.09 31593.95 20197.60 190
v7n90.76 25089.86 25593.45 25193.54 31887.60 25097.70 8797.37 18088.85 22187.65 28994.08 28981.08 21998.10 23284.68 28283.79 32694.66 310
DWT-MVSNet_test90.76 25089.89 25493.38 25395.04 26583.70 31695.85 25094.30 33488.19 24190.46 21092.80 31773.61 30798.50 19788.16 21990.58 24897.95 170
RPSCF90.75 25290.86 21190.42 32496.84 17376.29 36095.61 26096.34 25883.89 31891.38 19197.87 8476.45 28798.78 17087.16 24892.23 22096.20 222
MVP-Stereo90.74 25390.08 24792.71 27693.19 32888.20 23595.86 24996.27 26186.07 28984.86 32294.76 25277.84 27897.75 28183.88 29298.01 12192.17 351
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
pm-mvs190.72 25489.65 26693.96 22494.29 30089.63 18697.79 7596.82 23289.07 21286.12 31295.48 22778.61 26497.78 27886.97 25081.67 33694.46 314
v124090.70 25589.85 25693.23 25993.51 32086.80 26596.61 19897.02 21387.16 27389.58 24094.31 27779.55 24897.98 25185.52 27285.44 29794.90 292
EPMVS90.70 25589.81 25893.37 25494.73 28284.21 30793.67 31888.02 36789.50 20192.38 17193.49 30877.82 27997.78 27886.03 26592.68 21498.11 166
Anonymous2023121190.63 25789.42 26894.27 21098.24 10089.19 21198.05 5297.89 10979.95 34688.25 27794.96 24172.56 31298.13 22789.70 18985.14 30395.49 253
DTE-MVSNet90.56 25889.75 26293.01 26693.95 30687.25 25497.64 9697.65 13890.74 16787.12 29895.68 21679.97 24097.00 32683.33 29481.66 33794.78 305
ACMH87.59 1690.53 25989.42 26893.87 23096.21 20587.92 24297.24 13396.94 21788.45 23583.91 33396.27 18371.92 31398.62 18884.43 28689.43 26095.05 283
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
OurMVSNet-221017-090.51 26090.19 24591.44 30793.41 32381.25 33496.98 16096.28 26091.68 13886.55 30896.30 18174.20 30297.98 25188.96 20987.40 28095.09 280
miper_lstm_enhance90.50 26190.06 25091.83 29595.33 24883.74 31393.86 31296.70 24087.56 26487.79 28693.81 29883.45 17496.92 32887.39 24184.62 31294.82 298
COLMAP_ROBcopyleft87.81 1590.40 26289.28 27193.79 23497.95 11987.13 26096.92 16695.89 27582.83 32986.88 30697.18 13173.77 30699.29 12378.44 33093.62 20594.95 285
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
IterMVS-SCA-FT90.31 26389.81 25891.82 29695.52 23484.20 30894.30 29996.15 26790.61 17687.39 29494.27 27975.80 29296.44 33487.34 24286.88 28694.82 298
MS-PatchMatch90.27 26489.77 26091.78 29994.33 29784.72 30295.55 26196.73 23486.17 28886.36 30995.28 23371.28 31897.80 27584.09 28898.14 11992.81 340
tpm90.25 26589.74 26391.76 30193.92 30779.73 34993.98 30793.54 34188.28 23991.99 18393.25 31377.51 28197.44 30887.30 24487.94 27298.12 163
AllTest90.23 26688.98 27593.98 22197.94 12086.64 26896.51 20595.54 28985.38 29885.49 31696.77 15070.28 32599.15 13480.02 32092.87 21096.15 226
ACMH+87.92 1490.20 26789.18 27393.25 25896.48 19486.45 27396.99 15896.68 24188.83 22384.79 32396.22 18470.16 32798.53 19584.42 28788.04 27194.77 306
test-mter90.19 26889.54 26792.12 28894.59 28880.66 33794.29 30092.98 34687.68 26190.76 20692.37 32467.67 33798.07 24088.81 21196.74 15397.63 185
IterMVS90.15 26989.67 26491.61 30395.48 23683.72 31494.33 29896.12 26889.99 18987.31 29794.15 28775.78 29496.27 33786.97 25086.89 28594.83 296
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
TESTMET0.1,190.06 27089.42 26891.97 29194.41 29580.62 33994.29 30091.97 35587.28 27190.44 21192.47 32368.79 33297.67 28688.50 21796.60 15897.61 189
tpm289.96 27189.21 27292.23 28794.91 27481.25 33493.78 31494.42 32980.62 34491.56 18893.44 31076.44 28897.94 26185.60 27192.08 22797.49 194
IB-MVS87.33 1789.91 27288.28 28494.79 18795.26 25587.70 24895.12 28193.95 33989.35 20687.03 30192.49 32270.74 32299.19 12989.18 20681.37 33897.49 194
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
ADS-MVSNet89.89 27388.68 27993.53 24695.86 22084.89 30090.93 34795.07 31083.23 32791.28 19991.81 33479.01 25897.85 27079.52 32291.39 23697.84 176
FMVSNet189.88 27488.31 28394.59 19295.41 23891.18 14297.50 10796.93 21886.62 28187.41 29394.51 26365.94 35097.29 31783.04 29787.43 27895.31 269
pmmvs589.86 27588.87 27792.82 27392.86 33286.23 27796.26 22795.39 29284.24 31487.12 29894.51 26374.27 30197.36 31487.61 23887.57 27694.86 294
tpmvs89.83 27689.15 27491.89 29394.92 27180.30 34393.11 32995.46 29186.28 28588.08 28192.65 31980.44 23098.52 19681.47 30989.92 25696.84 209
tfpnnormal89.70 27788.40 28293.60 24295.15 25990.10 17397.56 10298.16 5487.28 27186.16 31194.63 26077.57 28098.05 24374.48 34584.59 31392.65 343
ADS-MVSNet289.45 27888.59 28092.03 29095.86 22082.26 32890.93 34794.32 33383.23 32791.28 19991.81 33479.01 25895.99 33979.52 32291.39 23697.84 176
Patchmatch-test89.42 27987.99 28693.70 23895.27 25285.11 29588.98 35894.37 33181.11 33987.10 30093.69 30182.28 20197.50 30374.37 34794.76 18998.48 142
test0.0.03 189.37 28088.70 27891.41 30892.47 34085.63 28595.22 27892.70 34991.11 16086.91 30593.65 30579.02 25693.19 36378.00 33289.18 26295.41 260
SixPastTwentyTwo89.15 28188.54 28190.98 31493.49 32180.28 34496.70 18694.70 32290.78 16584.15 32995.57 22071.78 31597.71 28484.63 28385.07 30594.94 287
RPMNet88.98 28287.05 29794.77 18894.45 29387.19 25790.23 35298.03 8877.87 35692.40 16987.55 35880.17 23699.51 9868.84 36193.95 20197.60 190
TransMVSNet (Re)88.94 28387.56 29093.08 26594.35 29688.45 22997.73 8195.23 30387.47 26584.26 32795.29 23179.86 24297.33 31579.44 32674.44 35593.45 334
USDC88.94 28387.83 28892.27 28694.66 28484.96 29893.86 31295.90 27487.34 26983.40 33595.56 22267.43 33998.19 22282.64 30389.67 25993.66 330
dp88.90 28588.26 28590.81 31794.58 29076.62 35992.85 33394.93 31685.12 30390.07 22893.07 31475.81 29198.12 23080.53 31787.42 27997.71 182
PatchT88.87 28687.42 29193.22 26094.08 30485.10 29689.51 35694.64 32581.92 33492.36 17288.15 35580.05 23897.01 32572.43 35393.65 20497.54 193
MVS_030488.79 28787.57 28992.46 28094.65 28586.15 28196.40 21397.17 19586.44 28388.02 28391.71 33656.68 36397.03 32284.47 28592.58 21694.19 323
our_test_388.78 28887.98 28791.20 31292.45 34182.53 32493.61 32195.69 28285.77 29384.88 32193.71 30079.99 23996.78 33279.47 32486.24 28894.28 321
EU-MVSNet88.72 28988.90 27688.20 33693.15 32974.21 36396.63 19794.22 33585.18 30187.32 29695.97 19576.16 29094.98 35285.27 27586.17 28995.41 260
Patchmtry88.64 29087.25 29392.78 27594.09 30386.64 26889.82 35595.68 28480.81 34387.63 29092.36 32780.91 22297.03 32278.86 32885.12 30494.67 309
MIMVSNet88.50 29186.76 29993.72 23794.84 27787.77 24791.39 34294.05 33686.41 28487.99 28492.59 32163.27 35595.82 34477.44 33392.84 21297.57 192
tpm cat188.36 29287.21 29591.81 29795.13 26180.55 34092.58 33795.70 28174.97 35887.45 29191.96 33278.01 27798.17 22580.39 31888.74 26796.72 213
ppachtmachnet_test88.35 29387.29 29291.53 30492.45 34183.57 31893.75 31595.97 27184.28 31385.32 31994.18 28579.00 26096.93 32775.71 34284.99 30894.10 324
JIA-IIPM88.26 29487.04 29891.91 29293.52 31981.42 33389.38 35794.38 33080.84 34290.93 20580.74 36379.22 25297.92 26482.76 30091.62 23196.38 220
testgi87.97 29587.21 29590.24 32692.86 33280.76 33696.67 19194.97 31491.74 13685.52 31595.83 20362.66 35794.47 35676.25 34088.36 27095.48 254
LF4IMVS87.94 29687.25 29389.98 32892.38 34380.05 34794.38 29595.25 30287.59 26384.34 32594.74 25464.31 35397.66 28884.83 27987.45 27792.23 348
gg-mvs-nofinetune87.82 29785.61 30694.44 20094.46 29289.27 20891.21 34684.61 37280.88 34189.89 23274.98 36571.50 31697.53 30085.75 27097.21 14596.51 216
pmmvs687.81 29886.19 30292.69 27791.32 34886.30 27597.34 12396.41 25680.59 34584.05 33294.37 27267.37 34097.67 28684.75 28179.51 34494.09 326
K. test v387.64 29986.75 30090.32 32593.02 33179.48 35196.61 19892.08 35490.66 17280.25 35094.09 28867.21 34196.65 33385.96 26780.83 34094.83 296
Patchmatch-RL test87.38 30086.24 30190.81 31788.74 36378.40 35788.12 36093.17 34587.11 27482.17 34189.29 35081.95 20895.60 34788.64 21577.02 34998.41 150
FMVSNet587.29 30185.79 30591.78 29994.80 27987.28 25295.49 26495.28 29984.09 31683.85 33491.82 33362.95 35694.17 35778.48 32985.34 30093.91 328
Anonymous2023120687.09 30286.14 30389.93 32991.22 34980.35 34196.11 23695.35 29583.57 32484.16 32893.02 31573.54 30895.61 34672.16 35486.14 29093.84 329
EG-PatchMatch MVS87.02 30385.44 30791.76 30192.67 33685.00 29796.08 23896.45 25483.41 32679.52 35293.49 30857.10 36297.72 28379.34 32790.87 24692.56 344
TinyColmap86.82 30485.35 31091.21 31194.91 27482.99 32293.94 31094.02 33883.58 32381.56 34294.68 25762.34 35898.13 22775.78 34187.35 28192.52 345
TDRefinement86.53 30584.76 31591.85 29482.23 37084.25 30696.38 21695.35 29584.97 30684.09 33094.94 24265.76 35198.34 21284.60 28474.52 35492.97 337
test_040286.46 30684.79 31491.45 30695.02 26685.55 28696.29 22594.89 31780.90 34082.21 34093.97 29368.21 33697.29 31762.98 36588.68 26891.51 354
Anonymous2024052186.42 30785.44 30789.34 33290.33 35379.79 34896.73 18295.92 27283.71 32283.25 33691.36 33963.92 35496.01 33878.39 33185.36 29992.22 349
DSMNet-mixed86.34 30886.12 30487.00 34189.88 35770.43 36694.93 28290.08 36377.97 35585.42 31892.78 31874.44 30093.96 35874.43 34695.14 18196.62 214
CL-MVSNet_self_test86.31 30985.15 31189.80 33088.83 36281.74 33293.93 31196.22 26486.67 28085.03 32090.80 34178.09 27494.50 35474.92 34471.86 35993.15 336
pmmvs-eth3d86.22 31084.45 31691.53 30488.34 36487.25 25494.47 29095.01 31183.47 32579.51 35389.61 34969.75 33095.71 34583.13 29676.73 35191.64 352
test20.0386.14 31185.40 30988.35 33490.12 35480.06 34695.90 24895.20 30488.59 23081.29 34393.62 30671.43 31792.65 36471.26 35881.17 33992.34 347
UnsupCasMVSNet_eth85.99 31284.45 31690.62 32189.97 35682.40 32793.62 32097.37 18089.86 19178.59 35592.37 32465.25 35295.35 35182.27 30570.75 36094.10 324
KD-MVS_self_test85.95 31384.95 31288.96 33389.55 36079.11 35495.13 28096.42 25585.91 29184.07 33190.48 34270.03 32894.82 35380.04 31972.94 35892.94 338
YYNet185.87 31484.23 31890.78 32092.38 34382.46 32693.17 32695.14 30782.12 33367.69 36192.36 32778.16 27395.50 35077.31 33579.73 34294.39 316
MDA-MVSNet_test_wron85.87 31484.23 31890.80 31992.38 34382.57 32393.17 32695.15 30682.15 33267.65 36292.33 33078.20 27095.51 34977.33 33479.74 34194.31 320
CMPMVSbinary62.92 2185.62 31684.92 31387.74 33889.14 36173.12 36594.17 30396.80 23373.98 35973.65 36094.93 24366.36 34597.61 29383.95 29191.28 23892.48 346
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
PVSNet_082.17 1985.46 31783.64 32090.92 31595.27 25279.49 35090.55 35095.60 28683.76 32183.00 33989.95 34671.09 31997.97 25482.75 30160.79 36895.31 269
MDA-MVSNet-bldmvs85.00 31882.95 32291.17 31393.13 33083.33 31994.56 28895.00 31284.57 31165.13 36692.65 31970.45 32395.85 34273.57 35077.49 34894.33 318
MIMVSNet184.93 31983.05 32190.56 32289.56 35984.84 30195.40 26795.35 29583.91 31780.38 34892.21 33157.23 36193.34 36270.69 36082.75 33593.50 332
KD-MVS_2432*160084.81 32082.64 32391.31 30991.07 35085.34 29391.22 34495.75 27985.56 29683.09 33790.21 34467.21 34195.89 34077.18 33762.48 36692.69 341
miper_refine_blended84.81 32082.64 32391.31 30991.07 35085.34 29391.22 34495.75 27985.56 29683.09 33790.21 34467.21 34195.89 34077.18 33762.48 36692.69 341
OpenMVS_ROBcopyleft81.14 2084.42 32282.28 32590.83 31690.06 35584.05 31195.73 25594.04 33773.89 36080.17 35191.53 33859.15 36097.64 28966.92 36389.05 26390.80 358
PM-MVS83.48 32381.86 32788.31 33587.83 36677.59 35893.43 32291.75 35686.91 27680.63 34689.91 34744.42 36995.84 34385.17 27876.73 35191.50 355
new-patchmatchnet83.18 32481.87 32687.11 34086.88 36775.99 36193.70 31695.18 30585.02 30577.30 35688.40 35265.99 34993.88 35974.19 34970.18 36191.47 356
new_pmnet82.89 32581.12 32988.18 33789.63 35880.18 34591.77 34192.57 35076.79 35775.56 35988.23 35461.22 35994.48 35571.43 35682.92 33389.87 360
MVS-HIRNet82.47 32681.21 32886.26 34395.38 24069.21 36988.96 35989.49 36466.28 36380.79 34574.08 36768.48 33497.39 31271.93 35595.47 17692.18 350
UnsupCasMVSNet_bld82.13 32779.46 33090.14 32788.00 36582.47 32590.89 34996.62 24978.94 35175.61 35784.40 36156.63 36496.31 33677.30 33666.77 36491.63 353
pmmvs379.97 32877.50 33287.39 33982.80 36979.38 35292.70 33590.75 36270.69 36278.66 35487.47 35951.34 36793.40 36173.39 35169.65 36289.38 361
N_pmnet78.73 32978.71 33178.79 34792.80 33446.50 37894.14 30443.71 38178.61 35280.83 34491.66 33774.94 29896.36 33567.24 36284.45 31693.50 332
LCM-MVSNet72.55 33069.39 33482.03 34570.81 37765.42 37290.12 35494.36 33255.02 36765.88 36481.72 36224.16 37889.96 36574.32 34868.10 36390.71 359
FPMVS71.27 33169.85 33375.50 34974.64 37259.03 37491.30 34391.50 35858.80 36657.92 36888.28 35329.98 37485.53 36953.43 36882.84 33481.95 365
PMMVS270.19 33266.92 33580.01 34676.35 37165.67 37186.22 36187.58 36964.83 36562.38 36780.29 36426.78 37688.49 36763.79 36454.07 36985.88 362
EGC-MVSNET68.77 33363.01 33886.07 34492.49 33982.24 32993.96 30990.96 3610.71 3782.62 37990.89 34053.66 36593.46 36057.25 36784.55 31482.51 364
Gipumacopyleft67.86 33465.41 33675.18 35092.66 33773.45 36466.50 36994.52 32753.33 36857.80 36966.07 36930.81 37289.20 36648.15 37078.88 34762.90 369
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
test_method66.11 33564.89 33769.79 35272.62 37535.23 38265.19 37092.83 34820.35 37365.20 36588.08 35643.14 37082.70 37073.12 35263.46 36591.45 357
ANet_high63.94 33659.58 33977.02 34861.24 37966.06 37085.66 36387.93 36878.53 35342.94 37171.04 36825.42 37780.71 37152.60 36930.83 37284.28 363
PMVScopyleft53.92 2258.58 33755.40 34068.12 35351.00 38048.64 37678.86 36687.10 37146.77 36935.84 37574.28 3668.76 37986.34 36842.07 37173.91 35669.38 367
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
E-PMN53.28 33852.56 34255.43 35574.43 37347.13 37783.63 36576.30 37642.23 37042.59 37262.22 37128.57 37574.40 37331.53 37331.51 37144.78 370
MVEpermissive50.73 2353.25 33948.81 34466.58 35465.34 37857.50 37572.49 36870.94 37940.15 37239.28 37463.51 3706.89 38173.48 37538.29 37242.38 37068.76 368
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
EMVS52.08 34051.31 34354.39 35672.62 37545.39 37983.84 36475.51 37841.13 37140.77 37359.65 37230.08 37373.60 37428.31 37429.90 37344.18 371
tmp_tt51.94 34153.82 34146.29 35733.73 38145.30 38078.32 36767.24 38018.02 37450.93 37087.05 36052.99 36653.11 37670.76 35925.29 37440.46 372
wuyk23d25.11 34224.57 34626.74 35873.98 37439.89 38157.88 3719.80 38212.27 37510.39 3766.97 3787.03 38036.44 37725.43 37517.39 3753.89 375
cdsmvs_eth3d_5k23.24 34330.99 3450.00 3610.00 3840.00 3850.00 37297.63 1410.00 3790.00 38096.88 14684.38 1590.00 3800.00 3780.00 3780.00 376
testmvs13.36 34416.33 3474.48 3605.04 3822.26 38493.18 3253.28 3832.70 3768.24 37721.66 3742.29 3832.19 3787.58 3762.96 3769.00 374
test12313.04 34515.66 3485.18 3594.51 3833.45 38392.50 3391.81 3842.50 3777.58 37820.15 3753.67 3822.18 3797.13 3771.07 3779.90 373
ab-mvs-re8.06 34610.74 3490.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 38096.69 1560.00 3840.00 3800.00 3780.00 3780.00 376
pcd_1.5k_mvsjas7.39 3479.85 3500.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 37988.65 1010.00 3800.00 3780.00 3780.00 376
test_blank0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uanet_test0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
DCPMVS0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
sosnet-low-res0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
sosnet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uncertanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
Regformer0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
uanet0.00 3480.00 3510.00 3610.00 3840.00 3850.00 3720.00 3850.00 3790.00 3800.00 3790.00 3840.00 3800.00 3780.00 3780.00 376
FOURS199.55 193.34 7499.29 198.35 2094.98 2798.49 15
MSC_two_6792asdad98.86 198.67 6696.94 197.93 10799.86 997.68 299.67 699.77 1
PC_three_145290.77 16698.89 898.28 5796.24 198.35 20995.76 6199.58 2299.59 20
No_MVS98.86 198.67 6696.94 197.93 10799.86 997.68 299.67 699.77 1
test_one_060199.32 2495.20 2198.25 3695.13 1998.48 1698.87 695.16 7
eth-test20.00 384
eth-test0.00 384
ZD-MVS99.05 4394.59 3298.08 6889.22 20997.03 5398.10 6892.52 3799.65 5794.58 9999.31 61
RE-MVS-def96.72 3999.02 4692.34 9997.98 5698.03 8893.52 7797.43 3698.51 2690.71 7996.05 5099.26 6999.43 55
IU-MVS99.42 795.39 1197.94 10690.40 18398.94 597.41 1299.66 1099.74 7
OPU-MVS98.55 398.82 6096.86 398.25 3498.26 5896.04 299.24 12695.36 7699.59 1799.56 27
test_241102_TWO98.27 3195.13 1998.93 698.89 494.99 1199.85 1897.52 599.65 1299.74 7
test_241102_ONE99.42 795.30 1898.27 3195.09 2399.19 198.81 1095.54 599.65 57
9.1496.75 3798.93 5197.73 8198.23 4291.28 15497.88 2798.44 3293.00 2599.65 5795.76 6199.47 42
save fliter98.91 5394.28 3997.02 15398.02 9295.35 8
test_0728_THIRD94.78 3798.73 1098.87 695.87 499.84 2397.45 999.72 299.77 1
test_0728_SECOND98.51 499.45 395.93 598.21 4198.28 2899.86 997.52 599.67 699.75 5
test072699.45 395.36 1398.31 2798.29 2694.92 2898.99 498.92 295.08 8
GSMVS98.45 145
test_part299.28 2795.74 898.10 21
sam_mvs182.76 19098.45 145
sam_mvs81.94 209
ambc86.56 34283.60 36870.00 36885.69 36294.97 31480.60 34788.45 35137.42 37196.84 33082.69 30275.44 35392.86 339
MTGPAbinary98.08 68
test_post192.81 33416.58 37780.53 22897.68 28586.20 259
test_post17.58 37681.76 21198.08 237
patchmatchnet-post90.45 34382.65 19498.10 232
GG-mvs-BLEND93.62 24193.69 31589.20 20992.39 34083.33 37387.98 28589.84 34871.00 32096.87 32982.08 30695.40 17894.80 301
MTMP97.86 6782.03 374
gm-plane-assit93.22 32778.89 35684.82 30893.52 30798.64 18587.72 227
test9_res94.81 9399.38 5499.45 51
TEST998.70 6494.19 4496.41 21098.02 9288.17 24396.03 8997.56 11592.74 2999.59 72
test_898.67 6694.06 5396.37 21798.01 9588.58 23195.98 9497.55 11792.73 3099.58 75
agg_prior293.94 11099.38 5499.50 43
agg_prior98.67 6693.79 5998.00 9795.68 10499.57 83
TestCases93.98 22197.94 12086.64 26895.54 28985.38 29885.49 31696.77 15070.28 32599.15 13480.02 32092.87 21096.15 226
test_prior493.66 6396.42 209
test_prior296.35 21892.80 10796.03 8997.59 11192.01 4695.01 8499.38 54
test_prior97.23 6598.67 6692.99 8198.00 9799.41 11199.29 68
旧先验295.94 24681.66 33697.34 4098.82 16792.26 139
新几何295.79 253
新几何197.32 5998.60 7593.59 6597.75 12381.58 33795.75 10197.85 8790.04 8799.67 5386.50 25599.13 8398.69 127
旧先验198.38 8893.38 7197.75 12398.09 7092.30 4399.01 9299.16 79
无先验95.79 25397.87 11483.87 32099.65 5787.68 23398.89 112
原ACMM295.67 256
原ACMM196.38 10298.59 7691.09 14697.89 10987.41 26795.22 11797.68 10090.25 8399.54 9087.95 22399.12 8698.49 140
test22298.24 10092.21 10595.33 27097.60 14379.22 35095.25 11597.84 9088.80 9999.15 8198.72 124
testdata299.67 5385.96 267
segment_acmp92.89 26
testdata95.46 15898.18 10988.90 21797.66 13682.73 33097.03 5398.07 7190.06 8698.85 16589.67 19098.98 9398.64 130
testdata195.26 27793.10 94
test1297.65 4798.46 8194.26 4197.66 13695.52 11390.89 7599.46 10599.25 7199.22 76
plane_prior796.21 20589.98 179
plane_prior696.10 21590.00 17581.32 217
plane_prior597.51 15398.60 18993.02 13292.23 22095.86 235
plane_prior496.64 159
plane_prior390.00 17594.46 4791.34 193
plane_prior297.74 7994.85 30
plane_prior196.14 213
plane_prior89.99 17797.24 13394.06 5692.16 224
n20.00 385
nn0.00 385
door-mid91.06 360
lessismore_v090.45 32391.96 34679.09 35587.19 37080.32 34994.39 27066.31 34797.55 29784.00 29076.84 35094.70 308
LGP-MVS_train94.10 21496.16 21088.26 23297.46 16191.29 15190.12 22397.16 13279.05 25498.73 17592.25 14191.89 22895.31 269
test1197.88 112
door91.13 359
HQP5-MVS89.33 203
HQP-NCC95.86 22096.65 19293.55 7290.14 217
ACMP_Plane95.86 22096.65 19293.55 7290.14 217
BP-MVS92.13 145
HQP4-MVS90.14 21798.50 19795.78 242
HQP3-MVS97.39 17792.10 225
HQP2-MVS80.95 220
NP-MVS95.99 21989.81 18495.87 200
MDTV_nov1_ep13_2view70.35 36793.10 33083.88 31993.55 14682.47 19886.25 25898.38 153
MDTV_nov1_ep1390.76 21895.22 25680.33 34293.03 33195.28 29988.14 24692.84 16693.83 29581.34 21698.08 23782.86 29894.34 195
ACMMP++_ref90.30 253
ACMMP++91.02 242
Test By Simon88.73 100
ITE_SJBPF92.43 28295.34 24585.37 29295.92 27291.47 14387.75 28896.39 17871.00 32097.96 25882.36 30489.86 25793.97 327
DeepMVS_CXcopyleft74.68 35190.84 35264.34 37381.61 37565.34 36467.47 36388.01 35748.60 36880.13 37262.33 36673.68 35779.58 366