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
indooroutdoorcourty.delive.electrofacadekickermeadowofficepipesplaygr.reliefrelief.terraceterrai.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort by
SF-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
EIA-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
ETV-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
CS-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
SMA-MVScopyleft0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 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
Fast-Effi-MVS+-dtu0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
Effi-MVS+-dtu0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
CS-MVS-test0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
train_agg0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
HFP-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
DROMVSNet0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
QAPM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
v1441920.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 140.40 130.40 130.40 130.40 130.40 13
v19219200.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 140.40 130.40 130.40 130.40 130.40 13
v11920.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 140.40 130.40 130.40 130.40 130.40 13
v11440.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 140.40 130.40 130.40 130.40 130.40 13
v1480.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 140.40 130.40 130.40 130.40 130.40 13
v7n0.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 140.40 130.40 130.40 130.40 130.40 13
v12400.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 140.40 130.40 130.40 130.40 130.40 13
v80.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 140.40 130.40 130.40 130.40 130.40 13
v100.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 140.40 130.40 130.40 130.40 130.40 13
v2v4820.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 140.40 130.40 130.40 130.40 130.40 13
V420.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 140.40 130.40 130.40 130.40 130.40 13
GA-MVS0.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 130.40 140.40 130.40 130.40 130.40 130.40 13
Fast-Effi-MVS+0.41 250.41 250.41 250.41 250.41 250.41 250.41 250.41 250.41 250.41 250.41 260.41 250.41 250.41 250.41 250.41 25
Effi-MVS+0.53 260.53 260.53 260.53 260.53 260.53 260.53 260.53 260.53 260.53 260.53 270.53 260.53 260.53 260.53 260.53 26
CDS-MVSNet0.88 270.88 270.88 270.88 270.88 270.88 270.88 270.88 270.88 270.88 270.88 280.88 270.88 270.88 270.88 270.88 27
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 270.88 270.88 270.88 270.88 270.88 270.88 270.88 270.88 270.88 270.88 280.88 270.88 270.88 270.88 270.88 27
DeepMVS_CXcopyleft1.00 291.00 291.00 291.00 291.00 291.00 291.00 301.00 291.00 291.00 291.00 29
MDA-MVSNet-bldmvs1.20 291.20 291.20 291.20 291.20 301.20 301.20 301.20 301.20 301.20 301.20 311.20 301.20 301.20 291.20 301.20 30
CVMVSNet1.42 301.42 301.42 301.42 301.42 311.42 311.42 311.42 311.42 311.42 311.42 321.42 311.42 311.42 301.42 311.42 31
EU-MVSNet1.42 301.42 301.42 301.42 301.42 311.42 311.42 311.42 311.42 311.42 311.42 321.42 311.42 311.42 301.42 311.42 31
PS-CasMVS1.42 301.42 301.42 301.42 301.42 311.42 311.42 311.42 311.42 311.42 311.42 321.42 311.42 311.42 301.42 311.42 31
UniMVSNet_NR-MVSNet1.42 301.42 301.42 301.42 301.42 311.42 311.42 311.42 311.42 311.42 311.42 321.42 311.42 311.42 301.42 311.42 31
PEN-MVS1.42 301.42 301.42 301.42 301.42 311.42 311.42 311.42 311.42 311.42 311.42 321.42 311.42 311.42 301.42 311.42 31
TransMVSNet (Re)1.42 301.42 301.42 301.42 301.42 311.42 311.42 311.42 311.42 311.42 311.42 321.42 311.42 311.42 301.42 311.42 31
DTE-MVSNet1.42 301.42 301.42 301.42 301.42 311.42 311.42 311.42 311.42 311.42 311.42 321.42 311.42 311.42 301.42 311.42 31
DU-MVS1.42 301.42 301.42 301.42 301.42 311.42 311.42 311.42 311.42 311.42 311.42 321.42 311.42 311.42 301.42 311.42 31
UniMVSNet (Re)1.42 301.42 301.42 301.42 301.42 311.42 311.42 311.42 311.42 311.42 311.42 321.42 311.42 311.42 301.42 311.42 31
CP-MVSNet1.42 301.42 301.42 301.42 301.42 311.42 311.42 311.42 311.42 311.42 311.42 321.42 311.42 311.42 301.42 311.42 31
WR-MVS_H1.42 301.42 301.42 301.42 301.42 311.42 311.42 311.42 311.42 311.42 311.42 321.42 311.42 311.42 301.42 311.42 31
WR-MVS1.42 301.42 301.42 301.42 301.42 311.42 311.42 311.42 311.42 311.42 311.42 321.42 311.42 311.42 301.42 311.42 31
NR-MVSNet1.42 301.42 301.42 301.42 301.42 311.42 311.42 311.42 311.42 311.42 311.42 321.42 311.42 311.42 301.42 311.42 31
Baseline_NR-MVSNet1.42 301.42 301.42 301.42 301.42 311.42 311.42 311.42 311.42 311.42 311.42 321.42 311.42 311.42 301.42 311.42 31
TranMVSNet+NR-MVSNet1.42 301.42 301.42 301.42 301.42 311.42 311.42 311.42 311.42 311.42 311.42 321.42 311.42 311.42 301.42 311.42 31
CDPH-MVS6.66 456.66 456.66 456.66 456.66 466.66 466.66 466.66 466.66 466.66 466.66 476.66 466.66 466.66 456.66 466.66 46
MDTV_nov1_ep13_2view9.99 469.99 469.99 469.99 469.99 479.99 479.99 479.99 479.99 499.99 479.99 509.99 479.99 479.99 469.99 479.99 47
MDTV_nov1_ep139.99 469.99 469.99 469.99 469.99 479.99 479.99 479.99 479.99 499.99 479.99 509.99 479.99 479.99 469.99 479.99 47
GeoE20.05 4918.83 4921.47 4925.60 4929.60 5022.50 4931.20 4919.10 508.30 4813.50 509.40 4917.80 4914.10 4917.50 4923.40 5028.60 50
test_method18.19 4815.64 4821.17 4819.00 4822.00 4922.50 4938.00 5015.50 497.50 4713.00 497.00 4819.00 5015.50 5015.50 4821.00 4921.00 49
new_pmnet75.00 5274.67 5275.39 5285.42 5496.03 5698.77 55173.23 5369.57 5336.19 5256.93 53117.43 7532.98 5185.38 6068.41 5225.74 5128.95 51
N_pmnet75.00 5274.67 5275.39 5285.42 5496.03 5698.77 55173.23 5369.57 5336.19 5256.93 53117.43 7532.98 5185.38 6068.41 5225.74 5128.95 51
GBi-Net39.84 5035.75 5044.63 5043.04 5049.88 5151.06 5186.51 5235.34 5117.20 5129.83 5115.85 5243.43 5335.35 5135.70 5026.51 5348.28 53
X-MVS52.20 5152.20 5152.20 5152.20 5152.20 5252.20 5252.20 5152.20 5252.20 6052.20 5252.20 7052.20 5452.20 5252.20 5152.20 5452.20 54
CANet100.44 5493.07 54109.04 54111.90 56131.06 60119.40 58222.42 6280.48 5536.93 5470.80 5540.92 5689.90 55100.59 62101.42 5573.68 58126.25 55
CANet_DTU100.44 5493.07 54109.04 54111.90 56131.06 60119.40 58222.42 6280.48 5536.93 5470.80 5540.92 5689.90 55100.59 62101.42 5573.68 58126.25 55
MVS_0304100.44 5493.07 54109.04 54111.90 56131.06 60119.40 58222.42 6280.48 5536.93 5470.80 5540.92 5689.90 55100.59 62101.42 5573.68 58126.25 55
UGNet100.44 5493.07 54109.04 54111.90 56131.06 60119.40 58222.42 6280.48 5536.93 5470.80 5540.92 5689.90 55100.59 62101.42 5573.68 58126.25 55
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
FMVSNet5116.86 58110.47 59124.32 58131.47 61157.41 64150.67 63199.64 55115.30 6256.61 6697.70 6351.77 60117.26 5977.26 53113.14 6090.25 65160.68 62
test1116.86 58110.47 59124.32 58131.47 61157.41 64150.67 63199.64 55115.30 6256.61 6697.70 6351.77 60117.26 5977.26 53113.14 6090.25 65160.68 62
FMVSNet3116.86 58110.47 59124.32 58131.47 61157.41 64150.67 63199.64 55115.30 6256.61 6697.70 6351.77 60117.26 5977.26 53113.14 6090.25 65160.68 62
FMVSNet2116.86 58110.47 59124.32 58131.47 61157.41 64150.67 63199.64 55115.30 6256.61 6697.70 6351.77 60117.26 5977.26 53113.14 6090.25 65160.68 62
FMVSNet1116.86 58110.47 59124.32 58131.47 61157.41 64150.67 63199.64 55115.30 6256.61 6697.70 6351.77 60117.26 5977.26 53113.14 6090.25 65160.68 62
MIMVSNet1116.86 58110.47 59124.32 58131.47 61157.41 64150.67 63199.64 55115.30 6256.61 6697.70 6351.77 60117.26 5977.26 53113.14 6090.25 65160.68 62
MIMVSNet116.86 58110.47 59124.32 58131.47 61157.41 64150.67 63199.64 55115.30 6256.61 6697.70 6351.77 60117.26 5977.26 53113.14 6090.25 65160.68 62
ACMMP_NAP119.64 65106.58 58134.88 65123.82 60127.44 59145.38 62298.43 70116.16 6943.72 5977.82 5929.30 54131.24 66117.82 69106.21 5966.69 57171.29 69
PVSNet_Blended_VisFu129.22 66115.76 66144.92 66140.60 68162.80 71166.50 70281.20 67114.70 5955.50 6396.20 6051.80 67140.60 67114.70 66114.70 6785.10 62155.40 59
PVSNet_BlendedMVS129.22 66115.76 66144.92 66140.60 68162.80 71166.50 70281.20 67114.70 5955.50 6396.20 6051.80 67140.60 67114.70 66114.70 6785.10 62155.40 59
PVSNet_Blended129.22 66115.76 66144.92 66140.60 68162.80 71166.50 70281.20 67114.70 5955.50 6396.20 6051.80 67140.60 67114.70 66114.70 6785.10 62155.40 59
SixPastTwentyTwo210.90 70189.75 70235.58 70225.41 72284.88 75267.17 74485.88 73164.28 7176.51 73137.62 7176.69 74214.49 70206.28 71208.00 71144.02 74250.52 71
FA-MVS(training)203.85 69180.15 69231.50 69222.82 71259.22 74245.99 73478.61 72172.32 7282.03 74130.35 7072.14 73221.74 71190.35 70197.39 70137.78 73239.26 70
tmp_tt299.50 71365.00 7354.00 55649.00 86241.00 66159.00 70204.00 84479.00 93308.00 102243.00 72246.00 7282.00 5495.00 72
RPSCF376.53 71341.80 71417.05 72418.60 75457.01 80467.46 79825.25 80336.12 74159.32 78260.40 74151.13 79386.94 73364.25 73352.10 72244.72 75471.62 73
EG-PatchMatch MVS402.98 72364.36 72448.05 73435.50 76473.00 81489.60 80910.20 81338.60 75127.30 75205.10 72123.50 77434.60 74450.70 77447.70 75291.10 77511.90 74
PatchmatchNetpermissive452.63 75410.20 75502.13 76520.70 82614.40 83546.00 811018.80 90379.00 77167.50 79277.10 75169.40 81437.10 75437.10 75457.50 76322.70 79536.90 76
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
ADS-MVSNet452.36 74406.02 74506.42 77534.76 83628.22 85552.79 821009.99 89333.98 73149.26 76246.67 73149.01 78447.03 76465.35 78501.18 78344.69 80517.75 75
DELS-MVS458.84 76423.31 76500.30 75511.99 81616.59 84578.86 84991.10 83355.79 76158.99 77319.09 78190.62 83453.64 77437.73 76439.52 74307.20 78603.81 78
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
MS-PatchMatch438.85 73388.71 73497.33 74479.00 77527.00 82558.00 83988.00 82379.00 77174.00 80278.00 76162.00 80494.00 78418.00 74412.00 73291.00 76545.00 77
pmnet_mix02659.48 92547.83 85789.74 95720.05 92846.87 99740.59 892153.63 108456.15 86191.24 81336.49 80200.39 85511.90 79608.74 88634.29 91421.05 86751.91 87
dps534.60 77472.40 77607.16 79690.38 91718.85 88636.03 851231.66 92422.74 79198.65 83325.68 79194.97 84512.90 80509.81 80513.65 79373.33 82621.11 79
IB-MVS750.90 3552.99 79511.38 83601.53 78606.02 86735.75 90688.75 881183.86 91436.09 81210.63 86397.40 82233.85 88551.05 81521.77 81533.78 81368.88 81721.05 86
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
RPMNet858.01 99961.99 105736.69 86550.05 841120.24 1121212.05 114463.05 71485.90 87550.05 114580.05 102890.05 135559.05 821485.90 1161185.90 1141085.90 119985.90 101
PMVScopyleft743.55 2836.66 98637.90 951068.55 1071306.50 115875.12 1001166.70 1132629.00 111512.24 88196.22 82282.69 77237.15 89597.87 83842.47 101765.54 100514.99 97950.09 98
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
IterMVS554.60 80488.63 78631.57 84636.90 88700.80 86674.70 871271.10 94430.50 80207.10 85370.50 81202.70 86611.80 84534.20 83545.30 82387.80 83636.40 80
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CSCG727.26 96663.25 97801.94 96590.65 85811.25 91854.12 991805.32 106816.43 104388.25 102612.42 103345.37 110621.61 85507.46 79471.55 77551.65 991078.31 108
Gipumacopyleft587.77 84529.57 84655.67 85637.00 89733.00 89749.00 901245.00 93525.00 89269.00 96445.00 91253.00 90637.00 86525.00 82525.00 80397.00 84701.00 85
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
new-patchmatchnet712.65 94632.59 94806.05 98787.79 100936.25 103882.47 1001795.72 105528.60 90244.29 88471.90 92257.36 91681.47 87705.16 98659.05 97444.55 88869.82 97
MVS_Test654.54 85583.51 86737.40 87721.80 93822.10 92808.60 921494.00 96542.20 91259.90 89441.60 84257.70 92689.10 88620.80 89617.70 84451.00 89782.50 88
casdiffmvspermissive654.54 85583.51 86737.40 87721.80 93822.10 92808.60 921494.00 96542.20 91259.90 89441.60 84257.70 92689.10 88620.80 89617.70 84451.00 89782.50 88
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
diffmvspermissive654.54 85583.51 86737.40 87721.80 93822.10 92808.60 921494.00 96542.20 91259.90 89441.60 84257.70 92689.10 88620.80 89617.70 84451.00 89782.50 88
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
baseline2654.54 85583.51 86737.40 87721.80 93822.10 92808.60 921494.00 96542.20 91259.90 89441.60 84257.70 92689.10 88620.80 89617.70 84451.00 89782.50 88
baseline1654.54 85583.51 86737.40 87721.80 93822.10 92808.60 921494.00 96542.20 91259.90 89441.60 84257.70 92689.10 88620.80 89617.70 84451.00 89782.50 88
casdiffmvs_mvgpermissive654.54 85583.51 86737.40 87721.80 93822.10 92808.60 921494.00 96542.20 91259.90 89441.60 84257.70 92689.10 88620.80 89617.70 84451.00 89782.50 88
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
baseline654.54 85583.51 86737.40 87721.80 93822.10 92808.60 921494.00 96542.20 91259.90 89441.60 84257.70 92689.10 88620.80 89617.70 84451.00 89782.50 88
IterMVS-LS714.97 95638.00 96804.77 97793.60 101914.20 101886.50 1021612.70 103588.30 98285.30 97491.20 94278.40 100759.20 95677.40 97681.30 98491.30 96835.20 95
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
ACMH+702.88 1670.82 93589.81 93765.33 94662.52 90701.42 87795.24 911698.33 104598.81 99226.55 87403.02 83187.13 82786.82 96724.80 99646.56 92422.52 87866.95 96
PatchT878.42 100785.05 100987.36 1001050.05 111922.05 1021111.05 110677.05 75950.05 1071285.90 150750.05 109640.05 121850.05 97950.05 102950.05 102950.05 112333.05 72
MVSTER834.63 97737.03 99948.49 99988.86 1031140.51 1141129.34 1121832.80 107682.42 100319.01 98550.98 101311.35 103872.51 98763.95 100757.83 99548.41 98952.20 99
GG-mvs-BLEND557.53 81503.49 79620.58 81485.90 78370.41 76267.30 75710.53 76454.42 82785.72 122491.23 95326.12 104881.92 99538.27 84650.05 93592.08 101693.94 81
gm-plane-assit551.84 78503.49 79608.24 80411.90 74370.41 76267.30 75710.53 76454.42 82785.72 122491.23 95326.12 104881.92 99538.27 84650.05 93592.08 101693.94 81
gg-mvs-nofinetune557.53 81503.49 79620.58 81485.90 78370.41 76267.30 75710.53 76454.42 82785.72 122491.23 95326.12 104881.92 99538.27 84650.05 93592.08 101693.94 81
CR-MVSNet557.53 81503.49 79620.58 81485.90 78370.41 76267.30 75710.53 76454.42 82785.72 122491.23 95326.12 104881.92 99538.27 84650.05 93592.08 101693.94 81
ACMH935.68 4948.23 101857.00 1011054.67 106946.00 102970.00 1041125.00 1112467.00 109823.00 105330.00 100622.00 104211.00 87891.00 103970.00 1041061.00 111569.00 1001342.00 110
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
FPMVS1356.65 1141072.60 1121688.04 1151840.79 1191397.01 1171793.24 1214397.86 122804.66 102408.78 107538.65 100407.36 113894.84 1041587.73 1171286.38 116792.73 1111486.39 114
ambc999.00 106999.00 104999.00 105999.00 103999.00 109999.00 132999.00 116999.00 141999.00 105999.00 105999.00 105999.00 113999.00 102
EPMVS999.00 103999.00 106999.00 101999.00 104999.00 105999.00 103999.00 84999.00 109999.00 132999.00 116999.00 141999.00 105999.00 105999.00 105999.00 113999.00 102
uanet_test1000.00 1041000.00 1081000.00 1021000.00 1061000.00 1071000.00 1051000.00 851000.00 1111000.00 1341000.00 1181000.00 1431000.00 1071000.00 1071000.00 1071000.00 1151000.00 104
sosnet1000.00 1041000.00 1081000.00 1021000.00 1061000.00 1071000.00 1051000.00 851000.00 1111000.00 1341000.00 1181000.00 1431000.00 1071000.00 1071000.00 1071000.00 1151000.00 104
USDC1000.00 1041000.00 1081000.00 1021000.00 1061000.00 1071000.00 1051000.00 851000.00 1111000.00 1341000.00 1181000.00 1431000.00 1071000.00 1071000.00 1071000.00 1151000.00 104
TinyColmap1000.00 1041000.00 1081000.00 1021000.00 1061000.00 1071000.00 1051000.00 851000.00 1111000.00 1341000.00 1181000.00 1431000.00 1071000.00 1071000.00 1071000.00 1151000.00 104
MVS_111021_LR1055.24 109916.36 1031217.27 1091129.93 1131268.26 1151313.88 1162635.76 112923.19 106396.92 106704.88 107327.66 1081136.32 111965.38 103946.95 101690.83 1091278.20 109
ACMM1129.18 51047.56 108912.90 1021204.67 1081040.21 1101016.71 1111105.32 1092918.67 114813.91 103327.22 99665.34 105267.72 991192.58 1121091.35 112991.88 104643.99 1061543.40 117
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++993.91 102732.21 981299.24 1111631.22 1181345.26 1161480.05 1172524.20 110735.65 101463.57 112499.89 99302.78 1011292.66 113675.99 96612.79 83403.71 85953.11 100
TSAR-MVS + GP.1239.27 1111094.74 1141407.89 1121220.99 1141845.47 1211680.98 1203191.81 1151098.41 115362.98 101679.12 106339.31 1091323.06 1141173.24 1151093.83 112667.49 1071433.78 113
DeepC-MVS_fast2081.98 81311.87 1131172.50 1151474.47 1131411.78 1161397.23 1181519.03 1183401.40 1181201.29 116417.90 108801.95 110976.25 1401409.37 1151114.52 1131201.12 115687.33 1081515.14 116
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMMPR1265.65 1121083.59 1131478.06 1141441.06 1171438.61 1191540.68 1193284.05 1171219.68 117458.81 111803.22 111346.91 1111421.66 1161126.11 1141150.51 113722.08 1101500.09 115
ACMP1170.86 61091.37 110943.23 1041264.21 1101112.10 1121138.94 1131276.90 1152675.36 113989.62 108426.15 110742.77 108349.09 1121454.51 1171047.36 111969.90 103640.22 1051364.94 112
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
CMPMVSbinary2507.20 102083.60 1171983.13 1212200.81 1182582.70 1293097.30 1322332.10 1234364.50 1211390.00 118653.68 118997.75 115742.65 1281880.20 1182298.80 1292413.60 1331391.70 1292941.80 126
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVScopyleft2049.89 71895.92 1151721.29 1162099.67 1162064.00 1202419.00 1242138.00 1224572.00 1231541.00 122548.00 113937.00 113580.00 1181983.00 1191971.00 1231993.00 1211293.00 1252608.00 121
PCF-MVS3738.24 132129.60 1181746.89 1172576.10 1242258.22 1252263.67 1222650.06 1296361.78 1351676.15 124695.66 1191209.77 123737.88 1252237.28 1202083.02 1251835.31 1171253.58 1242422.45 119
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
Vis-MVSNetpermissive2390.77 1261976.57 1202874.00 1322644.00 1313248.00 1353040.00 1327371.00 1391627.00 123421.00 1091200.00 122622.00 1202251.00 1212326.00 1302052.00 1251517.00 1342761.00 125
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
CHOSEN 280x4202225.10 1191992.66 1222496.28 1192192.10 1222641.81 1262621.41 1265345.34 1272116.46 1301002.26 1381683.84 133837.43 1292338.65 1221920.94 1202020.28 1221477.92 1312727.86 122
CHOSEN 1792x26882225.10 1191992.66 1222496.28 1192192.10 1222641.81 1262621.41 1265345.34 1272116.46 1301002.26 1381683.84 133837.43 1292338.65 1221920.94 1202020.28 1221477.92 1312727.86 122
HyFIR lowres test2225.10 1191992.66 1222496.28 1192192.10 1222641.81 1262621.41 1265345.34 1272116.46 1301002.26 1381683.84 133837.43 1292338.65 1221920.94 1202020.28 1221477.92 1312727.86 122
tpm cat12652.13 1282606.66 1332705.18 1273151.86 1356902.39 1523612.17 1395463.78 1301457.76 119391.31 1031358.61 125446.44 1142360.09 1252296.48 1262290.90 1281251.84 1213494.04 133
CostFormer2652.13 1282606.66 1332705.18 1273151.86 1356902.39 1523612.17 1395463.78 1301457.76 119391.31 1031358.61 125446.44 1142360.09 1252296.48 1262290.90 1281251.84 1213494.04 133
tpm2652.13 1282606.66 1332705.18 1273151.86 1356902.39 1523612.17 1395463.78 1301457.76 119391.31 1031358.61 125446.44 1142360.09 1252296.48 1262290.90 1281251.84 1213494.04 133
MVS-HIRNet1975.98 1161797.02 1182184.76 1172111.07 1212443.03 1252503.43 1244063.71 1191684.46 125711.34 1201456.05 128848.70 1332396.26 1281900.93 1181915.01 1191322.75 1262330.99 118
tpmrst2688.71 1312604.46 1322787.00 1302472.96 1273190.36 1333313.69 1355003.06 1251837.26 1261097.38 1441721.89 1371012.20 1482415.09 1292970.27 1442736.80 1402419.79 1494762.44 146
3Dnovator2220.89 92303.77 1232037.00 1252615.00 1252617.00 1302967.00 1312616.00 1255882.00 1331928.00 128589.00 115907.00 112528.00 1172443.00 1302370.00 1312392.00 1321543.00 1353167.00 128
AdaColmapbinary2288.90 1222080.73 1262531.77 1222485.98 1282757.87 1292974.47 1314914.62 1242255.54 133804.63 1261611.14 132842.30 1322657.83 1312056.92 1241960.62 1201353.09 1283080.73 127
SD-MVS2324.36 1241910.97 1192806.65 1312945.31 1333305.03 1373267.51 1345962.25 1341896.37 127848.15 1271224.25 124661.55 1222707.30 1321913.40 1191871.41 1181109.38 1202504.79 120
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
DeepPCF-MVS3033.31 112362.79 1252183.15 1272572.38 1232349.28 1262383.16 1232740.92 1305212.97 1262043.02 129751.44 1211466.47 1291327.42 1532904.33 1332573.45 1362227.77 1261475.33 1303260.73 130
TAPA-MVS5463.68 162764.21 1332434.28 1293149.14 1343645.15 1433257.60 1363452.71 1386526.32 1362591.85 138651.36 1171964.77 145947.44 1382924.41 1342523.36 1342452.68 1341694.86 1413302.28 131
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
SteuartSystems-ACMMP2615.00 1272242.57 1283049.50 1332828.00 1322801.00 1303323.00 1366648.00 1372491.00 1351023.00 1411605.00 131697.00 1232926.00 1352502.00 1332279.00 1271549.00 1363323.00 132
Skip Steuart: Steuart Systems R&D Blog.
COLMAP_ROBcopyleft3798.28 142690.62 1322704.29 1392674.67 1263138.00 1343522.00 1403826.00 1443219.00 1162702.00 1401138.00 1482260.00 1471212.00 1522968.00 1362936.00 1432571.00 1361759.00 1443727.00 140
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
3Dnovator+3173.67 122938.77 1342519.43 1303428.00 1353256.00 1383708.00 1413443.00 1377516.00 1402525.00 1361121.00 145972.00 114925.00 1373192.00 1372899.00 1392897.00 1432040.00 1463710.00 139
DPM-MVS3051.54 1352661.57 1363506.50 1363532.00 1413332.00 1383744.00 1427839.00 1432772.00 141985.00 1301919.00 143738.00 1263319.00 1382901.00 1402715.00 1381620.00 1394254.00 143
OPM-MVS3051.54 1352661.57 1363506.50 1363532.00 1413332.00 1383744.00 1427839.00 1432772.00 141985.00 1301919.00 143738.00 1263319.00 1382901.00 1402715.00 1381620.00 1394254.00 143
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TSAR-MVS + ACMM3184.92 1372679.45 1383774.64 1423302.51 1394168.07 1434256.74 1468947.31 1462634.53 1391026.25 1421723.72 1381043.87 1493387.29 1402794.29 1372687.41 1371727.73 1433704.25 138
MVS_111021_HR3192.50 1382773.91 1403680.86 1393515.58 1403815.81 1424020.82 1457766.11 1412775.23 1431300.96 1532221.19 1461117.25 1513420.01 1412873.98 1382835.60 1412061.69 1473778.31 141
DVP-MVScopyleft3258.34 1402529.80 1314108.31 1434005.62 1464693.14 1474737.88 15010195.40 1502408.38 134941.44 1281505.82 130734.32 1243438.27 1422449.15 1322386.04 1311331.25 1273531.75 137
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
TSAR-MVS + MP.4216.58 1454674.68 1473682.13 1403752.63 1444315.48 1454264.77 1477782.51 1422583.81 1371125.68 14616722.30 157882.60 1343589.10 1432523.80 1352486.45 1351578.08 1373208.34 129
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
PLCcopyleft4785.50 153275.54 1413030.86 1433561.00 1384093.00 1474596.00 1465174.00 1534267.00 1203570.00 1481495.00 1542940.00 1501594.00 1553947.00 1443817.00 1483343.00 1472390.00 1481356.00 111
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
SED-MVS3539.47 1422909.05 1424274.95 1454528.93 1494986.51 1485003.31 1528985.31 1472904.53 1451294.24 1521839.12 1411003.69 1474135.17 1452926.32 1422897.04 1441702.75 1423806.13 142
DVP-MVS++3961.71 1443092.38 1444975.92 1474850.81 1525691.32 1505760.96 15412294.80 1522980.85 1461135.72 1471840.86 142949.63 1394197.95 1463019.10 1462873.21 1421615.27 1384291.72 145
MSP-MVS3241.28 1392825.26 1413726.65 1413945.31 1454305.03 1444267.51 1486962.25 1382896.37 1441068.15 1431824.25 1401061.55 1504307.30 1473013.40 1453171.41 1451809.38 1453504.79 136
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
MAR-MVS3961.62 1433726.55 1454235.86 1444107.62 1486522.83 1514862.93 1517956.64 1453380.98 1471665.13 1553231.54 1511650.34 1564357.29 1483198.61 1473209.42 1462465.52 1504892.15 147
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
OMC-MVS4439.92 1463906.78 1465061.92 1484748.70 1515679.38 1495855.03 1559923.00 1484023.36 1511740.95 1561693.78 1361693.78 1574658.45 1494254.77 1494135.74 1493445.36 1525866.63 149
DeepC-MVS5581.15 174824.92 1475020.53 1484596.70 1464714.52 1503205.14 1343108.50 13310234.20 1513823.34 1501885.23 1579002.42 1542045.34 1594715.23 1507652.65 1523993.41 1482922.51 1515421.41 148
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
MVEpermissive11086.50 1813278.69 15212303.57 15314416.33 1539890.00 15617107.00 1594634.00 14959884.00 1583666.00 149966.00 1291792.00 139896.00 1365680.00 15120677.00 15723030.00 1565444.00 15618957.00 154
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
TSAR-MVS + COLMAP6088.23 1485315.97 1496989.21 1496522.51 1538025.15 1557938.31 15615276.20 1535401.97 1531914.31 1583802.65 1521979.48 1586704.11 1525217.07 1505137.16 1503579.82 1537648.29 150
LS3D7481.83 1506596.02 1518515.28 1519871.71 1559844.03 1579225.16 15818308.40 1555364.90 1521267.41 1492381.61 1481512.79 1547225.72 1538875.69 1539516.28 1525193.26 1558676.83 151
CLD-MVS6986.85 1496222.57 1507878.50 1507707.00 1548884.00 1569025.00 15715607.00 1546148.00 1542571.00 1594822.00 1532082.00 1607875.00 1546389.00 1516449.00 1514486.00 1548784.00 152
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
ACMMPcopyleft9999.00 1519999.00 1529999.00 1529999.00 1579999.00 1589999.00 1599999.00 1499999.00 1559999.00 1619999.00 1559999.00 1629999.00 1559999.00 1549999.00 1539999.00 1579999.00 153
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
CNLPA17763.08 15315907.71 15419927.67 15419334.00 15922387.00 16022896.00 16038668.00 15615772.00 1567632.00 16013229.00 1567123.00 16119334.00 15615773.00 15515700.00 15411702.00 15821370.00 155
LTVRE_ROB38377.89 1949656.08 15518936.71 15585495.33 156306852.00 16222526.00 16129206.00 161112098.00 16030022.00 15717348.00 1632824.00 14911239.00 16329457.00 15720569.00 15619941.00 15518011.00 15925436.00 156
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
MSDG31705.85 15429167.57 15634667.17 15544079.00 16028314.00 16244778.00 16243648.00 15731045.00 15814849.00 16226179.00 15813752.00 16438088.00 15830859.00 15830835.00 15722561.00 16043189.00 157
PHI-MVS99999.00 15699999.00 15799999.00 15799999.00 16199999.00 16399999.00 16399999.00 15999999.00 15999999.00 16499999.00 15999999.00 16599999.00 15999999.00 15999999.00 15899999.00 16199999.00 158
test250610000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
test111110000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
ECVR-MVScopyleft10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
ET-MVSNet_ETH3D10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
UniMVSNet_ETH3D10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
thisisatest053010000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
Anonymous20240521110000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
DCV-MVSNet10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
tttt051710000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
thisisatest051510000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
DPE-MVScopyleft10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
tfpnnormal10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
tfpn200view910000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
IterMVS-SCA-FT10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
pmmvs610000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
pmmvs510000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
Anonymous2023121110000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
pmmvs-eth3d10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
Anonymous2023120610000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
SCA10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
canonicalmvs10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
anonymousdsp10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
FC-MVSNet-train10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
UA-Net10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
FC-MVSNet-test10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
sosnet-low-res10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
DI_MVS_plusplus_trai10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
HPM-MVS++copyleft10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
pm-mvs110000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
APDe-MVS10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
pmmvs410000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
test-LLR10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
TESTMET0.1,110000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
test-mter10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
testgi10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
test20.0310000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
thres600view710000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
MP-MVScopyleft10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
thres40010000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
test12310000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
thres20010000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
test0.0.03 110000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
pmmvs310000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
EMVS10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
E-PMN10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
PGM-MVS10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
MCST-MVS10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
PMMVS210000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
PM-MVS10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
LGP-MVS_train10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
EPNet_dtu10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
NCCC10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
CP-MVS10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
CPTT-MVS10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
HQP-MVS10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
IS_MVSNet10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
Vis-MVSNet (Re-imp)10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
PatchMatch-RL10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
TDRefinement10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
EPP-MVSNet10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
PMMVS10000000.00 15710000000.00 15810000000.00 15810000000.00 16310000000.00 16410000000.00 16410000000.00 16110000000.00 16010000000.00 16510000000.00 16010000000.00 16610000000.00 16010000000.00 16010000000.00 15910000000.00 16210000000.00 159
APD-MVScopyleft1000000000.00 2211000000000.00 2231000000000.00 2221000000000.00 2291000000000.00 2291000000000.00 2301000000000.00 2261000000000.00 2261000000000.00 2301000000000.00 2251000000000.00 2321000000000.00 2251000000000.00 2251000000000.00 2241000000000.00 2271000000000.00 224
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
RE-MVS-def610.10 116
9.140.00 1
SR-MVS610.10 87610.10 74610.10 119
our_test_39999.00 15799.00 5899.00 57
MTAPA41.98 5828.43 53
MTMP10000000.00 16531.71 55
Patchmatch-RL test10000000.00 164
XVS52.20 5152.20 5252.20 5252.20 6052.20 7052.20 54
X-MVStestdata52.20 5152.20 5252.20 5252.20 6052.20 7052.20 54
mPP-MVS10000000.00 16310000000.00 166
NP-MVS10000000.00 160
Patchmtry1825.90 120885.90 1011405.90 951285.90 150