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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
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
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
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 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v19219200.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v11920.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v11440.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v1480.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v7480.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v7n0.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v11410.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v1neww0.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v7new0.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v12400.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v180.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v170.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v160.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
divwei89l23v2f1120.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v150.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v130.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v120.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v80.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v70.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v60.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v110.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v520.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
V140.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v100.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
V40.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v2v4820.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
v10.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
V420.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
V90.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
GA-MVS0.40 50.40 50.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 60.40 50.40 50.40 60.40 6
Fast-Effi-MVS+0.41 360.41 360.41 370.41 370.41 370.41 370.41 370.41 370.41 370.41 370.41 370.41 370.41 360.41 360.41 370.41 37
Effi-MVS+0.53 370.53 370.53 380.53 380.53 380.53 380.53 380.53 380.53 380.53 380.53 380.53 380.53 370.53 370.53 380.53 38
CDS-MVSNet0.88 380.88 380.88 390.88 390.88 390.88 390.88 390.88 390.88 390.88 390.88 390.88 390.88 380.88 380.88 390.88 39
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 380.88 380.88 390.88 390.88 390.88 390.88 390.88 390.88 390.88 390.88 390.88 390.88 380.88 380.88 390.88 39
MDA-MVSNet-bldmvs1.20 401.20 401.20 411.20 411.20 421.20 421.20 421.20 421.20 421.20 421.20 421.20 421.20 411.20 401.20 421.20 42
CVMVSNet1.42 411.42 411.42 421.42 421.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 421.42 411.42 431.42 43
EU-MVSNet1.42 411.42 411.42 421.42 421.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 421.42 411.42 431.42 43
PS-CasMVS1.42 411.42 411.42 421.42 421.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 421.42 411.42 431.42 43
UniMVSNet_NR-MVSNet1.42 411.42 411.42 421.42 421.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 421.42 411.42 431.42 43
PEN-MVS1.42 411.42 411.42 421.42 421.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 421.42 411.42 431.42 43
TransMVSNet (Re)1.42 411.42 411.42 421.42 421.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 421.42 411.42 431.42 43
DTE-MVSNet1.42 411.42 411.42 421.42 421.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 421.42 411.42 431.42 43
DU-MVS1.42 411.42 411.42 421.42 421.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 421.42 411.42 431.42 43
UniMVSNet (Re)1.42 411.42 411.42 421.42 421.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 421.42 411.42 431.42 43
CP-MVSNet1.42 411.42 411.42 421.42 421.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 421.42 411.42 431.42 43
WR-MVS_H1.42 411.42 411.42 421.42 421.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 421.42 411.42 431.42 43
WR-MVS1.42 411.42 411.42 421.42 421.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 421.42 411.42 431.42 43
NR-MVSNet1.42 411.42 411.42 421.42 421.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 421.42 411.42 431.42 43
Baseline_NR-MVSNet1.42 411.42 411.42 421.42 421.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 421.42 411.42 431.42 43
TranMVSNet+NR-MVSNet1.42 411.42 411.42 421.42 421.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 431.42 421.42 411.42 431.42 43
CDPH-MVS6.66 566.66 566.66 576.66 576.66 586.66 586.66 586.66 586.66 586.66 586.66 586.66 586.66 576.66 566.66 586.66 58
MDTV_nov1_ep13_2view9.99 579.99 579.99 589.99 589.99 599.99 599.99 599.99 599.99 599.99 599.99 599.99 599.99 589.99 579.99 599.99 59
MDTV_nov1_ep139.99 579.99 579.99 589.99 589.99 599.99 599.99 599.99 599.99 599.99 599.99 599.99 599.99 589.99 579.99 599.99 59
GBi-Net39.84 5935.75 5944.63 6043.04 6049.88 6151.06 6186.51 6235.34 6117.20 6129.83 6115.85 6143.43 6335.35 6035.70 5926.51 6348.28 63
X-MVS52.20 6052.20 6052.20 6152.20 6152.20 6252.20 6252.20 6152.20 6252.20 6852.20 6252.20 7752.20 6452.20 6152.20 6052.20 6452.20 64
new_pmnet75.00 6174.67 6175.39 6285.42 6496.03 6698.77 65173.23 6369.57 6336.19 6256.93 63117.43 8132.98 6185.38 6968.41 6125.74 6128.95 61
N_pmnet75.00 6174.67 6175.39 6285.42 6496.03 6698.77 65173.23 6369.57 6336.19 6256.93 63117.43 8132.98 6185.38 6968.41 6125.74 6128.95 61
UGNet100.44 6393.07 63109.04 64111.90 66131.06 70119.40 67222.42 7280.48 6536.93 6470.80 6540.92 6689.90 65100.59 71101.42 6473.68 69126.25 65
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 64110.47 66124.32 65131.47 69157.41 71150.67 70199.64 65115.30 6956.61 7497.70 7151.77 67117.26 6677.26 62113.14 6790.25 73160.68 69
test1116.86 64110.47 66124.32 65131.47 69157.41 71150.67 70199.64 65115.30 6956.61 7497.70 7151.77 67117.26 6677.26 62113.14 6790.25 73160.68 69
FMVSNet3116.86 64110.47 66124.32 65131.47 69157.41 71150.67 70199.64 65115.30 6956.61 7497.70 7151.77 67117.26 6677.26 62113.14 6790.25 73160.68 69
FMVSNet2116.86 64110.47 66124.32 65131.47 69157.41 71150.67 70199.64 65115.30 6956.61 7497.70 7151.77 67117.26 6677.26 62113.14 6790.25 73160.68 69
FMVSNet1116.86 64110.47 66124.32 65131.47 69157.41 71150.67 70199.64 65115.30 6956.61 7497.70 7151.77 67117.26 6677.26 62113.14 6790.25 73160.68 69
MIMVSNet1116.86 64110.47 66124.32 65131.47 69157.41 71150.67 70199.64 65115.30 6956.61 7497.70 7151.77 67117.26 6677.26 62113.14 6790.25 73160.68 69
MIMVSNet116.86 64110.47 66124.32 65131.47 69157.41 71150.67 70199.64 65115.30 6956.61 7497.70 7151.77 67117.26 6677.26 62113.14 6790.25 73160.68 69
ACMMP_Plus119.64 71106.58 64134.88 72123.82 67127.44 68145.38 68298.43 77116.16 7643.72 6677.82 6629.30 63131.24 73117.82 75106.21 6566.69 67171.29 76
MPTG119.64 71106.58 64134.88 72123.82 67127.44 68145.38 68298.43 77116.16 7643.72 6677.82 6629.30 63131.24 73117.82 75106.21 6566.69 67171.29 76
PVSNet_Blended_VisFu129.22 73115.76 73144.92 74140.60 76162.80 78166.50 77281.20 74114.70 6655.50 7196.20 6851.80 74140.60 75114.70 72114.70 7485.10 70155.40 66
PVSNet_BlendedMVS129.22 73115.76 73144.92 74140.60 76162.80 78166.50 77281.20 74114.70 6655.50 7196.20 6851.80 74140.60 75114.70 72114.70 7485.10 70155.40 66
PVSNet_Blended129.22 73115.76 73144.92 74140.60 76162.80 78166.50 77281.20 74114.70 6655.50 7196.20 6851.80 74140.60 75114.70 72114.70 7485.10 70155.40 66
SixPastTwentyTwo210.90 76189.75 76235.58 77225.41 79284.88 81267.17 80485.88 80164.28 7976.51 81137.62 7876.69 80214.49 78206.28 77208.00 77144.02 81250.52 78
RPSCF376.53 77341.80 77417.05 79418.60 82457.01 86467.46 85825.25 86336.12 82159.32 86260.40 82151.13 86386.94 80364.25 79352.10 78244.72 82471.62 81
EG-PatchMatch MVS402.98 78364.36 78448.05 80435.50 83473.00 87489.60 87910.20 87338.60 83127.30 82205.10 79123.50 83434.60 82450.70 84447.70 81291.10 84511.90 82
LP413.85 79365.67 79470.06 81505.99 88560.16 89484.94 86977.47 88310.10 80140.33 83226.97 80133.09 84397.21 81428.08 81451.30 82314.39 86450.02 80
MS-PatchMatch438.85 80388.71 80497.33 82479.00 84527.00 88558.00 90988.00 89379.00 85174.00 88278.00 84162.00 87494.00 86418.00 80412.00 79291.00 83545.00 85
ADS-MVSNet452.36 81406.02 81506.42 85534.76 91628.22 92552.79 891009.99 95333.98 81149.26 84246.67 81149.01 85447.03 84465.35 85501.18 85344.69 88517.75 83
PatchmatchNetpermissive452.63 82410.20 82502.13 84520.70 90614.40 90546.00 881018.80 96379.00 85167.50 87277.10 83169.40 88437.10 83437.10 82457.50 83322.70 87536.90 84
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
DELS-MVS458.84 83423.31 83500.30 83511.99 89616.59 91578.86 91991.10 90355.79 84158.99 85319.09 86190.62 90453.64 85437.73 83439.52 80307.20 85603.81 86
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
dps534.60 84472.40 84607.16 87690.38 98718.85 95636.03 921231.66 98422.74 87198.65 90325.68 87194.97 91512.90 87509.81 87513.65 86373.33 90621.11 87
gm-plane-assit551.84 85503.49 86608.24 88411.90 81370.41 82267.30 81710.53 82454.42 90785.72 124491.23 97326.12 105881.92 101538.27 91650.05 94592.08 103693.94 89
IB-MVS750.90 3552.99 86511.38 90601.53 86606.02 94735.75 97688.75 951183.86 97436.09 89210.63 93397.40 89233.85 94551.05 88521.77 88533.78 88368.88 89721.05 94
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
IterMVS554.60 87488.63 85631.57 92636.90 95700.80 93674.70 941271.10 100430.50 88207.10 92370.50 88202.70 92611.80 91534.20 90545.30 89387.80 91636.40 88
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
GG-mvs-BLEND557.53 88503.49 86620.58 89485.90 85370.41 82267.30 81710.53 82454.42 90785.72 124491.23 97326.12 105881.92 101538.27 91650.05 94592.08 103693.94 89
gg-mvs-nofinetune557.53 88503.49 86620.58 89485.90 85370.41 82267.30 81710.53 82454.42 90785.72 124491.23 97326.12 105881.92 101538.27 91650.05 94592.08 103693.94 89
CR-MVSNet557.53 88503.49 86620.58 89485.90 85370.41 82267.30 81710.53 82454.42 90785.72 124491.23 97326.12 105881.92 101538.27 91650.05 94592.08 103693.94 89
Gipumacopyleft587.77 91529.57 91655.67 93637.00 96733.00 96749.00 961245.00 99525.00 96269.00 98445.00 93253.00 96637.00 93525.00 89525.00 87397.00 92701.00 93
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
MVS_Test654.54 92583.51 92737.40 95721.80 99822.10 99808.60 981494.00 102542.20 98259.90 96441.60 91257.70 98689.10 95620.80 95617.70 91451.00 96782.50 95
diffmvs654.54 92583.51 92737.40 95721.80 99822.10 99808.60 981494.00 102542.20 98259.90 96441.60 91257.70 98689.10 95620.80 95617.70 91451.00 96782.50 95
ACMH+702.88 1670.82 94589.81 94765.33 97662.52 97701.42 94795.24 971698.33 105598.81 101226.55 94403.02 90187.13 89786.82 98724.80 100646.56 93422.52 94866.95 98
new-patchmatchnet712.65 95632.59 95806.05 100787.79 101936.25 104882.47 1011795.72 106528.60 97244.29 95471.90 94257.36 97681.47 94705.16 99659.05 98444.55 95869.82 99
IterMVS-LS714.97 96638.00 97804.77 99793.60 102914.20 102886.50 1031612.70 104588.30 100285.30 99491.20 96278.40 101759.20 97677.40 98681.30 99491.30 98835.20 97
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
CSCG727.26 97663.25 98801.94 98590.65 93811.25 98854.12 1001805.32 107816.43 106388.25 104612.42 105345.37 111621.61 92507.46 86471.55 84551.65 1011078.31 109
MVSTER834.63 98737.03 100948.49 101988.86 1041140.51 1141129.34 1121832.80 108682.42 102319.01 100550.98 103311.35 104872.51 100763.95 101757.83 100548.41 100952.20 101
PMVScopyleft743.55 2836.66 99637.90 961068.55 1081306.50 115875.12 1011166.70 1132629.00 111512.24 95196.22 89282.69 85237.15 95597.87 90842.47 102765.54 101514.99 99950.09 100
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
RPMNet858.01 100961.99 106736.69 94550.05 921120.24 1121212.05 114463.05 79485.90 94550.05 117580.05 104890.05 134559.05 891485.90 1161185.90 1141085.90 120985.90 103
PatchT878.42 101785.05 101987.36 1021050.05 111922.05 1031111.05 110677.05 81950.05 1091285.90 148750.05 111640.05 122850.05 99950.05 103950.05 103950.05 114333.05 79
ACMH935.68 4948.23 102857.00 1021054.67 107946.00 103970.00 1051125.00 1112467.00 109823.00 107330.00 102622.00 106211.00 93891.00 105970.00 1051061.00 111569.00 1021342.00 111
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++993.91 103732.21 991299.24 1121631.22 1181345.26 1161480.05 1172524.20 110735.65 103463.57 115499.89 101302.78 1021292.66 114675.99 97612.79 90403.71 93953.11 102
EPMVS999.00 104999.00 107999.00 103999.00 105999.00 106999.00 104999.00 91999.00 111999.00 132999.00 118999.00 139999.00 107999.00 106999.00 106999.00 115999.00 104
sosnet1000.00 1051000.00 1091000.00 1041000.00 1071000.00 1081000.00 1061000.00 921000.00 1131000.00 1341000.00 1201000.00 1411000.00 1091000.00 1081000.00 1081000.00 1171000.00 106
USDC1000.00 1051000.00 1091000.00 1041000.00 1071000.00 1081000.00 1061000.00 921000.00 1131000.00 1341000.00 1201000.00 1411000.00 1091000.00 1081000.00 1081000.00 1171000.00 106
TinyColmap1000.00 1051000.00 1091000.00 1041000.00 1071000.00 1081000.00 1061000.00 921000.00 1131000.00 1341000.00 1201000.00 1411000.00 1091000.00 1081000.00 1081000.00 1171000.00 106
ACMM1129.18 51047.56 108912.90 1031204.67 1091040.21 1101016.71 1111105.32 1092918.67 114813.91 105327.22 101665.34 107267.72 1001192.58 1131091.35 112991.88 105643.99 1081543.40 118
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MVS_111021_LR1055.24 109916.36 1041217.27 1101129.93 1131268.26 1151313.88 1162635.76 112923.19 108396.92 109704.88 109327.66 1091136.32 112965.38 104946.95 102690.83 1111278.20 110
ACMP1170.86 61091.37 110943.23 1051264.21 1111112.10 1121138.94 1131276.90 1152675.36 113989.62 110426.15 113742.77 110349.09 1131454.51 1181047.36 111969.90 104640.22 1071364.94 113
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
TSAR-MVS + GP.1239.27 1111094.74 1141407.89 1131220.99 1141845.47 1211680.98 1203191.81 1151098.41 116362.98 103679.12 108339.31 1101323.06 1151173.24 1151093.83 112667.49 1091433.78 114
ACMMPR1265.65 1121083.59 1131478.06 1151441.06 1171438.61 1191540.68 1193284.05 1171219.68 118458.81 114803.22 113346.91 1121421.66 1171126.11 1141150.51 113722.08 1121500.09 116
DeepC-MVS_fast2081.98 81311.87 1131172.50 1151474.47 1141411.78 1161397.23 1181519.03 1183401.40 1181201.29 117417.90 111801.95 112976.25 1381409.37 1161114.52 1131201.12 115687.33 1101515.14 117
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
FPMVS1356.65 1141072.60 1121688.04 1161840.79 1191397.01 1171793.24 1214397.86 122804.66 104408.78 110538.65 102407.36 114894.84 1061587.73 1171286.38 116792.73 1131486.39 115
OpenMVScopyleft2049.89 71895.92 1151721.29 1162099.67 1172064.00 1202419.00 1242138.00 1224572.00 1231541.00 124548.00 116937.00 115580.00 1201983.00 1201971.00 1231993.00 1211293.00 1272608.00 122
MVS-HIRNet1975.98 1161797.02 1182184.76 1182111.07 1212443.03 1252503.43 1244063.71 1191684.46 127711.34 1221456.05 130848.70 1322396.26 1301900.93 1181915.01 1191322.75 1282330.99 119
CMPMVSbinary2507.20 102083.60 1171983.13 1212200.81 1192582.70 1293097.30 1322332.10 1234364.50 1211390.00 119653.68 120997.75 117742.65 1271880.20 1192298.80 1302413.60 1331391.70 1302941.80 127
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
PCF-MVS3738.24 132129.60 1181746.89 1172576.10 1252258.22 1252263.67 1222650.06 1296361.78 1361676.15 126695.66 1211209.77 124737.88 1252237.28 1212083.02 1251835.31 1171253.58 1262422.45 120
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x4202225.10 1191992.66 1222496.28 1202192.10 1222641.81 1262621.41 1265345.34 1272116.46 1321002.26 1371683.84 134837.43 1282338.65 1231920.94 1202020.28 1221477.92 1322727.86 123
CHOSEN 1792x26882225.10 1191992.66 1222496.28 1202192.10 1222641.81 1262621.41 1265345.34 1272116.46 1321002.26 1371683.84 134837.43 1282338.65 1231920.94 1202020.28 1221477.92 1322727.86 123
HyFIR lowres test2225.10 1191992.66 1222496.28 1202192.10 1222641.81 1262621.41 1265345.34 1272116.46 1321002.26 1371683.84 134837.43 1282338.65 1231920.94 1202020.28 1221477.92 1322727.86 123
AdaColmapbinary2288.90 1222080.73 1262531.77 1232485.98 1282757.87 1292974.47 1314914.62 1242255.54 135804.63 1281611.14 133842.30 1312657.83 1332056.92 1241960.62 1201353.09 1293080.73 128
3Dnovator2220.89 92303.77 1232037.00 1252615.00 1262617.00 1302967.00 1312616.00 1255882.00 1341928.00 130589.00 118907.00 114528.00 1192443.00 1322370.00 1322392.00 1321543.00 1363167.00 129
SD-MVS2324.36 1241910.97 1192806.65 1332945.31 1333305.03 1373267.51 1345962.25 1351896.37 129848.15 1291224.25 125661.55 1232707.30 1341913.40 1191871.41 1181109.38 1212504.79 121
DeepPCF-MVS3033.31 112362.79 1252183.15 1272572.38 1242349.28 1262383.16 1232740.92 1305212.97 1262043.02 131751.44 1231466.47 1311327.42 1492904.33 1352573.45 1362227.77 1261475.33 1313260.73 131
Vis-MVSNetpermissive2390.77 1261976.57 1202874.00 1342644.00 1313248.00 1353040.00 1327371.00 1401627.00 125421.00 1121200.00 123622.00 1212251.00 1222326.00 1312052.00 1251517.00 1352761.00 126
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2615.00 1272242.57 1283049.50 1352828.00 1322801.00 1303323.00 1366648.00 1382491.00 1361023.00 1401605.00 132697.00 1242926.00 1372502.00 1332279.00 1271549.00 1373323.00 133
Skip Steuart: Steuart Systems R&D Blog.
tpm cat12652.13 1282606.66 1322705.18 1283151.86 1356902.39 1483612.17 1395463.78 1301457.76 120391.31 1051358.61 126446.44 1152360.09 1262296.48 1262290.90 1281251.84 1223494.04 134
tpmp4_e232652.13 1282606.66 1322705.18 1283151.86 1356902.39 1483612.17 1395463.78 1301457.76 120391.31 1051358.61 126446.44 1152360.09 1262296.48 1262290.90 1281251.84 1223494.04 134
CostFormer2652.13 1282606.66 1322705.18 1283151.86 1356902.39 1483612.17 1395463.78 1301457.76 120391.31 1051358.61 126446.44 1152360.09 1262296.48 1262290.90 1281251.84 1223494.04 134
tpm2652.13 1282606.66 1322705.18 1283151.86 1356902.39 1483612.17 1395463.78 1301457.76 120391.31 1051358.61 126446.44 1152360.09 1262296.48 1262290.90 1281251.84 1223494.04 134
tpmrst2688.71 1322604.46 1312787.00 1322472.96 1273190.36 1333313.69 1355003.06 1251837.26 1281097.38 1431721.89 1381012.20 1442415.09 1312970.27 1422736.80 1392419.79 1474762.44 144
COLMAP_ROBcopyleft3798.28 142690.62 1332704.29 1382674.67 1273138.00 1343522.00 1393826.00 1443219.00 1162702.00 1411138.00 1462260.00 1451212.00 1482968.00 1382936.00 1412571.00 1361759.00 1423727.00 141
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
TAPA-MVS5463.68 162764.21 1342434.28 1293149.14 1363645.15 1433257.60 1363452.71 1386526.32 1372591.85 139651.36 1191964.77 143947.44 1372924.41 1362523.36 1342452.68 1341694.86 1403302.28 132
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
3Dnovator+3173.67 122938.77 1352519.43 1303428.00 1373256.00 1393708.00 1403443.00 1377516.00 1412525.00 1371121.00 144972.00 116925.00 1363192.00 1392899.00 1392897.00 1412040.00 1443710.00 140
OPM-MVS3051.54 1362661.57 1363506.50 1383532.00 1423332.00 1383744.00 1437839.00 1442772.00 142985.00 1311919.00 142738.00 1263319.00 1402901.00 1402715.00 1381620.00 1394254.00 143
TSAR-MVS + ACMM3184.92 1372679.45 1373774.64 1433302.51 1404168.07 1424256.74 1468947.31 1462634.53 1401026.25 1411723.72 1391043.87 1453387.29 1412794.29 1372687.41 1371727.73 1413704.25 139
MVS_111021_HR3192.50 1382773.91 1393680.86 1403515.58 1413815.81 1414020.82 1457766.11 1422775.23 1431300.96 1502221.19 1441117.25 1473420.01 1422873.98 1382835.60 1402061.69 1453778.31 142
HSP-MVS3241.28 1392825.26 1403726.65 1423945.31 1454305.03 1434267.51 1486962.25 1392896.37 1441068.15 1421824.25 1411061.55 1464307.30 1453013.40 1433171.41 1421809.38 1433504.79 138
PLCcopyleft4785.50 153275.54 1403030.86 1413561.00 1394093.00 1464596.00 1455174.00 1514267.00 1203570.00 1461495.00 1512940.00 1481594.00 1513947.00 1443817.00 1453343.00 1442390.00 1461356.00 112
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
MAR-MVS3961.62 1413726.55 1424235.86 1444107.62 1476522.83 1474862.93 1507956.64 1453380.98 1451665.13 1523231.54 1491650.34 1524357.29 1463198.61 1443209.42 1432465.52 1484892.15 145
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
TSAR-MVS + MP.4216.58 1424674.68 1443682.13 1413752.63 1444315.48 1444264.77 1477782.51 1432583.81 1381125.68 14516722.30 155882.60 1333589.10 1432523.80 1352486.45 1351578.08 1383208.34 130
OMC-MVS4439.92 1433906.78 1435061.92 1464748.70 1495679.38 1465855.03 1529923.00 1474023.36 1491740.95 1531693.78 1371693.78 1534658.45 1474254.77 1464135.74 1463445.36 1505866.63 147
DeepC-MVS5581.15 174824.92 1445020.53 1454596.70 1454714.52 1483205.14 1343108.50 13310234.20 1493823.34 1481885.23 1549002.42 1522045.34 1554715.23 1487652.65 1493993.41 1452922.51 1495421.41 146
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
TSAR-MVS + COLMAP6088.23 1455315.97 1466989.21 1476522.51 1508025.15 1527938.31 15315276.20 1505401.97 1511914.31 1553802.65 1501979.48 1546704.11 1505217.07 1475137.16 1473579.82 1517648.29 148
CLD-MVS6986.85 1466222.57 1477878.50 1487707.00 1518884.00 1539025.00 15415607.00 1516148.00 1522571.00 1564822.00 1512082.00 1567875.00 1526389.00 1486449.00 1484486.00 1528784.00 150
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7481.83 1476596.02 1488515.28 1499871.71 1529844.03 1549225.16 15518308.40 1525364.90 1501267.41 1472381.61 1461512.79 1507225.72 1518875.69 1509516.28 1495193.26 1538676.83 149
ACMMPcopyleft9999.00 1489999.00 1499999.00 1509999.00 1549999.00 1559999.00 1569999.00 1489999.00 1539999.00 1589999.00 1539999.00 1589999.00 1539999.00 1519999.00 1509999.00 1559999.00 151
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
MVEpermissive11086.50 1813278.69 14912303.57 15014416.33 1519890.00 15317107.00 1564634.00 14959884.00 1553666.00 147966.00 1301792.00 140896.00 1355680.00 14920677.00 15423030.00 1535444.00 15418957.00 152
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA17763.08 15015907.71 15119927.67 15219334.00 15522387.00 15722896.00 15738668.00 15315772.00 1547632.00 15713229.00 1547123.00 15719334.00 15415773.00 15215700.00 15111702.00 15621370.00 153
MSDG31705.85 15129167.57 15334667.17 15344079.00 15628314.00 15944778.00 15943648.00 15431045.00 15614849.00 15926179.00 15613752.00 16038088.00 15630859.00 15530835.00 15422561.00 15843189.00 155
LTVRE_ROB38377.89 1949656.08 15218936.71 15285495.33 154306852.00 15822526.00 15829206.00 158112098.00 15730022.00 15517348.00 1602824.00 14711239.00 15929457.00 15520569.00 15319941.00 15218011.00 15725436.00 154
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
PHI-MVS99999.00 15399999.00 15499999.00 15599999.00 15799999.00 16099999.00 16099999.00 15699999.00 15799999.00 16199999.00 15799999.00 16199999.00 15799999.00 15699999.00 15599999.00 15999999.00 156
pmmvs610000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
pmmvs510000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
Anonymous2023121110000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
pmmvs-eth3d10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
Anonymous2023120610000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
canonicalmvs10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
anonymousdsp10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
FC-MVSNet-train10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
UA-Net10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
FC-MVSNet-test10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
sosnet-low-res10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
DI_MVS_plusplus_trai10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
HPM-MVS++10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
pm-mvs110000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
APDe-MVS10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
pmmvs410000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
test-LLR10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
TESTMET0.1,110000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
test-mter10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
testgi10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
test20.0310000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
111110000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
.test124510000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
MP-MVScopyleft10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
testmvs10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
test12310000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
test0.0.03 110000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
test1235610000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
testus10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
pmmvs310000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
testmv10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
EMVS10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
E-PMN10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
test235610000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
test123567810000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
PGM-MVS10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
MCST-MVS10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
PMMVS210000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
PM-MVS10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
DWT-MVSNet_training10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
testpf10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
LGP-MVS_train10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
EPNet_dtu10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
NCCC10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
CP-MVS10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
no-one10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
CPTT-MVS10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
HQP-MVS10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
IS_MVSNet10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
Vis-MVSNet (Re-imp)10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
PatchMatch-RL10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
TDRefinement10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
EPP-MVSNet10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
PMMVS10000000.00 15410000000.00 15510000000.00 15610000000.00 15910000000.00 16110000000.00 16110000000.00 15810000000.00 15810000000.00 16210000000.00 15810000000.00 16210000000.00 15810000000.00 15710000000.00 15610000000.00 16010000000.00 157
APD-MVScopyleft1000000000.00 2101000000000.00 2111000000000.00 2121000000000.00 2161000000000.00 2171000000000.00 2181000000000.00 2141000000000.00 2151000000000.00 2191000000000.00 2141000000000.00 2191000000000.00 2141000000000.00 2131000000000.00 2121000000000.00 2161000000000.00 213
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
ambc999.00 107999.00 105999.00 106999.00 104999.00 111999.00 132999.00 118999.00 139999.00 107999.00 106999.00 106999.00 115999.00 104
MTAPA41.98 6528.43 62
MTMP10000000.00 16231.71 65
Patchmatch-RL test10000000.00 161
tmp_tt299.50 78365.00 8054.00 65649.00 93241.00 73159.00 78204.00 91479.00 95308.00 103243.00 79246.00 7882.00 6395.00 80
XVS52.20 6152.20 6252.20 6252.20 6852.20 7752.20 64
X-MVStestdata52.20 6152.20 6252.20 6252.20 6852.20 7752.20 64
abl_60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
mPP-MVS10000000.00 15910000000.00 162
NP-MVS10000000.00 158
Patchmtry1825.90 120885.90 1021405.90 1011285.90 148
DeepMVS_CXcopyleft1.00 411.00 411.00 411.00 411.00 411.00 411.00 411.00 411.00 401.00 411.00 41