High-resolution multi-view benchmark

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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort by
0.4-1-1-0.20.00 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
wanda-best-256-5120.00 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
usedtu_dtu_shiyan20.00 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
usedtu_dtu_shiyan10.00 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
blended_shiyan80.00 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
E5new0.00 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
FE-blended-shiyan70.00 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
E6new0.00 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
blended_shiyan60.00 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
usedtu_blend_shiyan50.00 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
blend_shiyan40.00 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
E60.00 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
E50.00 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
FE-MVSNET30.00 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
E40.00 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
E3new0.00 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
FE-MVSNET20.00 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
E20.00 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
E30.00 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
viewdifsd2359ckpt070.00 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
viewdifsd2359ckpt090.00 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
viewdifsd2359ckpt130.00 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
viewcassd2359sk110.00 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
viewdifsd2359ckpt110.00 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
viewmacassd2359aftdt0.00 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
viewmsd2359difaftdt0.00 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
diffmvs_AUTHOR0.00 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
FE-MVSNET0.00 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
viewmambaseed2359dif0.00 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
viewmanbaseed2359cas0.00 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
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
MGCNet0.00 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
SPE-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
EC-MVSNet0.00 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
v1441920.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 450.40 440.40 440.40 440.40 440.40 44
v19219200.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 450.40 440.40 440.40 440.40 440.40 44
v11920.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 450.40 440.40 440.40 440.40 440.40 44
v11440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 450.40 440.40 440.40 440.40 440.40 44
v1480.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 450.40 440.40 440.40 440.40 440.40 44
v7n0.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 450.40 440.40 440.40 440.40 440.40 44
v12400.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 450.40 440.40 440.40 440.40 440.40 44
v80.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 450.40 440.40 440.40 440.40 440.40 44
v100.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 450.40 440.40 440.40 440.40 440.40 44
v2v4820.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 450.40 440.40 440.40 440.40 440.40 44
V420.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 450.40 440.40 440.40 440.40 440.40 44
GA-MVS0.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 440.40 450.40 440.40 440.40 440.40 440.40 44
Fast-Effi-MVS+0.41 560.41 560.41 560.41 560.41 560.41 560.41 560.41 560.41 560.41 560.41 570.41 560.41 560.41 560.41 560.41 56
Effi-MVS+0.53 570.53 570.53 570.53 570.53 570.53 570.53 570.53 570.53 570.53 570.53 580.53 570.53 570.53 570.53 570.53 57
CDS-MVSNet0.88 580.88 580.88 580.88 580.88 580.88 580.88 580.88 580.88 580.88 580.88 590.88 580.88 580.88 580.88 580.88 58
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 580.88 580.88 580.88 580.88 580.88 580.88 580.88 580.88 580.88 580.88 590.88 580.88 580.88 580.88 580.88 58
DeepMVS_CXcopyleft1.00 601.00 601.00 601.00 601.00 601.00 601.00 611.00 601.00 601.00 601.00 60
MDA-MVSNet-bldmvs1.20 601.20 601.20 601.20 601.20 611.20 611.20 611.20 611.20 611.20 611.20 621.20 611.20 611.20 601.20 611.20 61
CVMVSNet1.42 611.42 611.42 611.42 611.42 621.42 621.42 621.42 621.42 621.42 621.42 631.42 621.42 621.42 611.42 621.42 62
EU-MVSNet1.42 611.42 611.42 611.42 611.42 621.42 621.42 621.42 621.42 621.42 621.42 631.42 621.42 621.42 611.42 621.42 62
PS-CasMVS1.42 611.42 611.42 611.42 611.42 621.42 621.42 621.42 621.42 621.42 621.42 631.42 621.42 621.42 611.42 621.42 62
UniMVSNet_NR-MVSNet1.42 611.42 611.42 611.42 611.42 621.42 621.42 621.42 621.42 621.42 621.42 631.42 621.42 621.42 611.42 621.42 62
PEN-MVS1.42 611.42 611.42 611.42 611.42 621.42 621.42 621.42 621.42 621.42 621.42 631.42 621.42 621.42 611.42 621.42 62
TransMVSNet (Re)1.42 611.42 611.42 611.42 611.42 621.42 621.42 621.42 621.42 621.42 621.42 631.42 621.42 621.42 611.42 621.42 62
DTE-MVSNet1.42 611.42 611.42 611.42 611.42 621.42 621.42 621.42 621.42 621.42 621.42 631.42 621.42 621.42 611.42 621.42 62
DU-MVS1.42 611.42 611.42 611.42 611.42 621.42 621.42 621.42 621.42 621.42 621.42 631.42 621.42 621.42 611.42 621.42 62
UniMVSNet (Re)1.42 611.42 611.42 611.42 611.42 621.42 621.42 621.42 621.42 621.42 621.42 631.42 621.42 621.42 611.42 621.42 62
CP-MVSNet1.42 611.42 611.42 611.42 611.42 621.42 621.42 621.42 621.42 621.42 621.42 631.42 621.42 621.42 611.42 621.42 62
WR-MVS_H1.42 611.42 611.42 611.42 611.42 621.42 621.42 621.42 621.42 621.42 621.42 631.42 621.42 621.42 611.42 621.42 62
WR-MVS1.42 611.42 611.42 611.42 611.42 621.42 621.42 621.42 621.42 621.42 621.42 631.42 621.42 621.42 611.42 621.42 62
NR-MVSNet1.42 611.42 611.42 611.42 611.42 621.42 621.42 621.42 621.42 621.42 621.42 631.42 621.42 621.42 611.42 621.42 62
Baseline_NR-MVSNet1.42 611.42 611.42 611.42 611.42 621.42 621.42 621.42 621.42 621.42 621.42 631.42 621.42 621.42 611.42 621.42 62
TranMVSNet+NR-MVSNet1.42 611.42 611.42 611.42 611.42 621.42 621.42 621.42 621.42 621.42 621.42 631.42 621.42 621.42 611.42 621.42 62
CDPH-MVS6.66 766.66 766.66 766.66 766.66 776.66 776.66 776.66 776.66 776.66 776.66 786.66 776.66 776.66 766.66 776.66 77
MDTV_nov1_ep13_2view9.99 779.99 779.99 779.99 779.99 789.99 789.99 789.99 789.99 809.99 789.99 819.99 789.99 789.99 779.99 789.99 78
MDTV_nov1_ep139.99 779.99 779.99 779.99 779.99 789.99 789.99 789.99 789.99 809.99 789.99 819.99 789.99 789.99 779.99 789.99 78
test_method18.19 7915.64 7921.17 7919.00 7922.00 8022.50 8038.00 8115.50 807.50 7813.00 807.00 7919.00 8115.50 8115.50 7921.00 8021.00 80
GeoE20.05 8018.83 8021.47 8025.60 8029.60 8122.50 8031.20 8019.10 818.30 7913.50 819.40 8017.80 8014.10 8017.50 8023.40 8128.60 81
GBi-Net39.84 8135.75 8144.63 8143.04 8149.88 8251.06 8286.51 8335.34 8217.20 8229.83 8215.85 8343.43 8435.35 8235.70 8126.51 8448.28 84
X-MVS52.20 8252.20 8252.20 8252.20 8252.20 8352.20 8352.20 8252.20 8352.20 9052.20 8352.20 10052.20 8552.20 8352.20 8252.20 8552.20 85
new_pmnet75.00 8374.67 8375.39 8385.42 8596.03 8798.77 86173.23 8469.57 8436.19 8356.93 84117.43 10632.98 8285.38 9168.41 8325.74 8228.95 82
N_pmnet75.00 8374.67 8375.39 8385.42 8596.03 8798.77 86173.23 8469.57 8436.19 8356.93 84117.43 10632.98 8285.38 9168.41 8325.74 8228.95 82
CANet100.44 8593.07 85109.04 85111.90 87131.06 91119.40 89222.42 9380.48 8636.93 8570.80 8640.92 8789.90 86100.59 93101.42 8673.68 89126.25 86
CANet_DTU100.44 8593.07 85109.04 85111.90 87131.06 91119.40 89222.42 9380.48 8636.93 8570.80 8640.92 8789.90 86100.59 93101.42 8673.68 89126.25 86
UGNet100.44 8593.07 85109.04 85111.90 87131.06 91119.40 89222.42 9380.48 8636.93 8570.80 8640.92 8789.90 86100.59 93101.42 8673.68 89126.25 86
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
PVSNet_Blended_VisFu129.22 96115.76 96144.92 96140.60 98162.80 101166.50 100281.20 97114.70 8955.50 9396.20 9051.80 97140.60 97114.70 96114.70 9785.10 92155.40 89
PVSNet_BlendedMVS129.22 96115.76 96144.92 96140.60 98162.80 101166.50 100281.20 97114.70 8955.50 9396.20 9051.80 97140.60 97114.70 96114.70 9785.10 92155.40 89
PVSNet_Blended129.22 96115.76 96144.92 96140.60 98162.80 101166.50 100281.20 97114.70 8955.50 9396.20 9051.80 97140.60 97114.70 96114.70 9785.10 92155.40 89
FMVSNet5116.86 88110.47 89124.32 88131.47 91157.41 94150.67 93199.64 86115.30 9256.61 9697.70 9351.77 90117.26 8977.26 84113.14 9090.25 95160.68 92
test1116.86 88110.47 89124.32 88131.47 91157.41 94150.67 93199.64 86115.30 9256.61 9697.70 9351.77 90117.26 8977.26 84113.14 9090.25 95160.68 92
FMVSNet3116.86 88110.47 89124.32 88131.47 91157.41 94150.67 93199.64 86115.30 9256.61 9697.70 9351.77 90117.26 8977.26 84113.14 9090.25 95160.68 92
FMVSNet2116.86 88110.47 89124.32 88131.47 91157.41 94150.67 93199.64 86115.30 9256.61 9697.70 9351.77 90117.26 8977.26 84113.14 9090.25 95160.68 92
FMVSNet1116.86 88110.47 89124.32 88131.47 91157.41 94150.67 93199.64 86115.30 9256.61 9697.70 9351.77 90117.26 8977.26 84113.14 9090.25 95160.68 92
MIMVSNet1116.86 88110.47 89124.32 88131.47 91157.41 94150.67 93199.64 86115.30 9256.61 9697.70 9351.77 90117.26 8977.26 84113.14 9090.25 95160.68 92
MIMVSNet116.86 88110.47 89124.32 88131.47 91157.41 94150.67 93199.64 86115.30 9256.61 9697.70 9351.77 90117.26 8977.26 84113.14 9090.25 95160.68 92
ACMMP_NAP119.64 95106.58 88134.88 95123.82 90127.44 90145.38 92298.43 100116.16 9943.72 8977.82 8929.30 85131.24 96117.82 99106.21 8966.69 88171.29 99
tmp_tt299.50 101365.00 10354.00 86649.00 117241.00 96159.00 100204.00 115479.00 124308.00 133243.00 102246.00 10282.00 8595.00 102
SixPastTwentyTwo210.90 100189.75 100235.58 100225.41 102284.88 105267.17 104485.88 103164.28 10176.51 103137.62 10176.69 104214.49 100206.28 101208.00 101144.02 104250.52 101
FA-MVS(training)203.85 99180.15 99231.50 99222.82 101259.22 104245.99 103478.61 102172.32 10282.03 104130.35 10072.14 103221.74 101190.35 100197.39 100137.78 103239.26 100
WB-MVS316.93 101277.98 101362.37 102386.49 104371.32 110360.90 109844.52 111232.58 103102.36 105215.57 103104.13 105287.33 103336.96 103318.49 102192.62 105366.78 103
ADS-MVSNet452.36 105406.02 105506.42 108534.76 114628.22 116552.79 1131009.99 120333.98 104149.26 107246.67 104149.01 109447.03 107465.35 109501.18 109344.69 111517.75 106
RPSCF376.53 102341.80 102417.05 103418.60 106457.01 111467.46 110825.25 110336.12 105159.32 109260.40 105151.13 110386.94 104364.25 104352.10 103244.72 106471.62 104
EG-PatchMatch MVS402.98 103364.36 103448.05 104435.50 107473.00 112489.60 111910.20 112338.60 106127.30 106205.10 102123.50 108434.60 105450.70 108447.70 106291.10 108511.90 105
DELS-MVS458.84 107423.31 107500.30 106511.99 112616.59 115578.86 115991.10 114355.79 107158.99 108319.09 109190.62 114453.64 108437.73 107439.52 105307.20 109603.81 109
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 104388.71 104497.33 105479.00 108527.00 113558.00 114988.00 113379.00 108174.00 111278.00 107162.00 111494.00 109418.00 105412.00 104291.00 107545.00 108
PatchmatchNetpermissive452.63 106410.20 106502.13 107520.70 113614.40 114546.00 1121018.80 121379.00 108167.50 110277.10 106169.40 112437.10 106437.10 106457.50 107322.70 110536.90 107
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
dps534.60 108472.40 108607.16 110690.38 122718.85 119636.03 1161231.66 123422.74 110198.65 114325.68 110194.97 115512.90 111509.81 111513.65 110373.33 113621.11 110
IterMVS554.60 111488.63 109631.57 115636.90 119700.80 117674.70 1181271.10 125430.50 111207.10 116370.50 112202.70 117611.80 115534.20 114545.30 113387.80 114636.40 111
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS750.90 3552.99 110511.38 114601.53 109606.02 117735.75 121688.75 1191183.86 122436.09 112210.63 117397.40 113233.85 119551.05 112521.77 112533.78 112368.88 112721.05 117
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
GG-mvs-BLEND557.53 112503.49 110620.58 112485.90 109370.41 106267.30 105710.53 106454.42 113785.72 153491.23 126326.12 135881.92 130538.27 115650.05 124592.08 132693.94 112
gm-plane-assit551.84 109503.49 110608.24 111411.90 105370.41 106267.30 105710.53 106454.42 113785.72 153491.23 126326.12 135881.92 130538.27 115650.05 124592.08 132693.94 112
gg-mvs-nofinetune557.53 112503.49 110620.58 112485.90 109370.41 106267.30 105710.53 106454.42 113785.72 153491.23 126326.12 135881.92 130538.27 115650.05 124592.08 132693.94 112
CR-MVSNet557.53 112503.49 110620.58 112485.90 109370.41 106267.30 105710.53 106454.42 113785.72 153491.23 126326.12 135881.92 130538.27 115650.05 124592.08 132693.94 112
pmnet_mix02659.48 123547.83 116789.74 126720.05 123846.87 130740.59 1202153.63 139456.15 117191.24 112336.49 111200.39 116511.90 110608.74 119634.29 122421.05 117751.91 118
RPMNet858.01 130961.99 136736.69 117550.05 1151120.24 1431212.05 145463.05 101485.90 118550.05 145580.05 133890.05 166559.05 1131485.90 1471185.90 1451085.90 150985.90 132
PMVScopyleft743.55 2836.66 129637.90 1261068.55 1381306.50 146875.12 1311166.70 1442629.00 142512.24 119196.22 113282.69 108237.15 120597.87 114842.47 132765.54 131514.99 128950.09 129
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
Gipumacopyleft587.77 115529.57 115655.67 116637.00 120733.00 120749.00 1211245.00 124525.00 120269.00 127445.00 122253.00 121637.00 117525.00 113525.00 111397.00 115701.00 116
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
new-patchmatchnet712.65 125632.59 125806.05 129787.79 131936.25 134882.47 1311795.72 136528.60 121244.29 119471.90 123257.36 122681.47 118705.16 129659.05 128444.55 119869.82 128
MVS_Test654.54 116583.51 117737.40 118721.80 124822.10 123808.60 1231494.00 127542.20 122259.90 120441.60 115257.70 123689.10 119620.80 120617.70 115451.00 120782.50 119
casdiffmvspermissive654.54 116583.51 117737.40 118721.80 124822.10 123808.60 1231494.00 127542.20 122259.90 120441.60 115257.70 123689.10 119620.80 120617.70 115451.00 120782.50 119
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 116583.51 117737.40 118721.80 124822.10 123808.60 1231494.00 127542.20 122259.90 120441.60 115257.70 123689.10 119620.80 120617.70 115451.00 120782.50 119
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 116583.51 117737.40 118721.80 124822.10 123808.60 1231494.00 127542.20 122259.90 120441.60 115257.70 123689.10 119620.80 120617.70 115451.00 120782.50 119
baseline1654.54 116583.51 117737.40 118721.80 124822.10 123808.60 1231494.00 127542.20 122259.90 120441.60 115257.70 123689.10 119620.80 120617.70 115451.00 120782.50 119
casdiffmvs_mvgpermissive654.54 116583.51 117737.40 118721.80 124822.10 123808.60 1231494.00 127542.20 122259.90 120441.60 115257.70 123689.10 119620.80 120617.70 115451.00 120782.50 119
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 116583.51 117737.40 118721.80 124822.10 123808.60 1231494.00 127542.20 122259.90 120441.60 115257.70 123689.10 119620.80 120617.70 115451.00 120782.50 119
IterMVS-LS714.97 126638.00 127804.77 128793.60 132914.20 132886.50 1331612.70 134588.30 129285.30 128491.20 125278.40 131759.20 126677.40 128681.30 129491.30 127835.20 126
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
ACMH+702.88 1670.82 124589.81 124765.33 125662.52 121701.42 118795.24 1221698.33 135598.81 130226.55 118403.02 114187.13 113786.82 127724.80 130646.56 123422.52 118866.95 127
MVSTER834.63 128737.03 130948.49 130988.86 1341140.51 1451129.34 1431832.80 138682.42 131319.01 129550.98 132311.35 134872.51 129763.95 131757.83 130548.41 129952.20 130
MSLP-MVS++993.91 133732.21 1291299.24 1421631.22 1491345.26 1471480.05 1482524.20 141735.65 132463.57 143499.89 130302.78 1321292.66 144675.99 127612.79 114403.71 116953.11 131
FPMVS1356.65 1451072.60 1431688.04 1461840.79 1501397.01 1481793.24 1524397.86 153804.66 133408.78 138538.65 131407.36 144894.84 1351587.73 1481286.38 147792.73 1421486.39 145
ACMM1129.18 51047.56 139912.90 1331204.67 1391040.21 1411016.71 1421105.32 1402918.67 145813.91 134327.22 130665.34 136267.72 1301192.58 1431091.35 143991.88 135643.99 1371543.40 148
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
CSCG727.26 127663.25 128801.94 127590.65 116811.25 122854.12 1301805.32 137816.43 135388.25 133612.42 134345.37 141621.61 116507.46 110471.55 108551.65 1301078.31 139
ACMH935.68 4948.23 132857.00 1321054.67 137946.00 133970.00 1351125.00 1422467.00 140823.00 136330.00 131622.00 135211.00 118891.00 134970.00 1351061.00 142569.00 1311342.00 141
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MVS_111021_LR1055.24 140916.36 1341217.27 1401129.93 1441268.26 1461313.88 1472635.76 143923.19 137396.92 137704.88 138327.66 1391136.32 142965.38 134946.95 132690.83 1401278.20 140
PatchT878.42 131785.05 131987.36 1311050.05 142922.05 1331111.05 141677.05 105950.05 1381285.90 181750.05 140640.05 152850.05 128950.05 133950.05 133950.05 143333.05 102
ACMP1170.86 61091.37 141943.23 1351264.21 1411112.10 1431138.94 1441276.90 1462675.36 144989.62 139426.15 141742.77 139349.09 1431454.51 1481047.36 142969.90 134640.22 1361364.94 143
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ambc999.00 137999.00 135999.00 136999.00 134999.00 140999.00 163999.00 147999.00 172999.00 136999.00 136999.00 136999.00 144999.00 133
EPMVS999.00 134999.00 137999.00 132999.00 135999.00 136999.00 134999.00 115999.00 140999.00 163999.00 147999.00 172999.00 136999.00 136999.00 136999.00 144999.00 133
uanet_test1000.00 1351000.00 1391000.00 1331000.00 1371000.00 1381000.00 1361000.00 1161000.00 1421000.00 1651000.00 1491000.00 1741000.00 1381000.00 1381000.00 1381000.00 1461000.00 135
sosnet1000.00 1351000.00 1391000.00 1331000.00 1371000.00 1381000.00 1361000.00 1161000.00 1421000.00 1651000.00 1491000.00 1741000.00 1381000.00 1381000.00 1381000.00 1461000.00 135
USDC1000.00 1351000.00 1391000.00 1331000.00 1371000.00 1381000.00 1361000.00 1161000.00 1421000.00 1651000.00 1491000.00 1741000.00 1381000.00 1381000.00 1381000.00 1461000.00 135
TinyColmap1000.00 1351000.00 1391000.00 1331000.00 1371000.00 1381000.00 1361000.00 1161000.00 1421000.00 1651000.00 1491000.00 1741000.00 1381000.00 1381000.00 1381000.00 1461000.00 135
TSAR-MVS + GP.1239.27 1421094.74 1451407.89 1431220.99 1451845.47 1521680.98 1513191.81 1461098.41 146362.98 132679.12 137339.31 1401323.06 1451173.24 1461093.83 143667.49 1381433.78 144
DeepC-MVS_fast2081.98 81311.87 1441172.50 1461474.47 1441411.78 1471397.23 1491519.03 1493401.40 1491201.29 147417.90 139801.95 141976.25 1711409.37 1461114.52 1441201.12 146687.33 1391515.14 147
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMMPR1265.65 1431083.59 1441478.06 1451441.06 1481438.61 1501540.68 1503284.05 1481219.68 148458.81 142803.22 142346.91 1421421.66 1471126.11 1451150.51 144722.08 1411500.09 146
CMPMVSbinary2507.20 102083.60 1481983.13 1522200.81 1492582.70 1603097.30 1632332.10 1544364.50 1521390.00 149653.68 149997.75 146742.65 1591880.20 1492298.80 1602413.60 1641391.70 1602941.80 157
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
tpm cat12652.13 1592606.66 1642705.18 1583151.86 1666902.39 1843612.17 1705463.78 1611457.76 150391.31 1341358.61 156446.44 1452360.09 1562296.48 1572290.90 1591251.84 1523494.04 164
CostFormer2652.13 1592606.66 1642705.18 1583151.86 1666902.39 1843612.17 1705463.78 1611457.76 150391.31 1341358.61 156446.44 1452360.09 1562296.48 1572290.90 1591251.84 1523494.04 164
tpm2652.13 1592606.66 1642705.18 1583151.86 1666902.39 1843612.17 1705463.78 1611457.76 150391.31 1341358.61 156446.44 1452360.09 1562296.48 1572290.90 1591251.84 1523494.04 164
OpenMVScopyleft2049.89 71895.92 1461721.29 1472099.67 1472064.00 1512419.00 1552138.00 1534572.00 1541541.00 153548.00 144937.00 144580.00 1491983.00 1501971.00 1541993.00 1521293.00 1562608.00 152
Vis-MVSNetpermissive2390.77 1571976.57 1512874.00 1632644.00 1623248.00 1663040.00 1637371.00 1701627.00 154421.00 1401200.00 153622.00 1512251.00 1522326.00 1612052.00 1561517.00 1652761.00 156
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
PCF-MVS3738.24 132129.60 1491746.89 1482576.10 1552258.22 1562263.67 1532650.06 1606361.78 1661676.15 155695.66 1501209.77 154737.88 1562237.28 1512083.02 1561835.31 1481253.58 1552422.45 150
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
MVS-HIRNet1975.98 1471797.02 1492184.76 1482111.07 1522443.03 1562503.43 1554063.71 1501684.46 156711.34 1511456.05 159848.70 1642396.26 1591900.93 1491915.01 1501322.75 1572330.99 149
tpmrst2688.71 1622604.46 1632787.00 1612472.96 1583190.36 1643313.69 1665003.06 1561837.26 1571097.38 1751721.89 1681012.20 1792415.09 1602970.27 1752736.80 1712419.79 1804762.44 177
SD-MVS2324.36 1551910.97 1502806.65 1622945.31 1643305.03 1683267.51 1655962.25 1651896.37 158848.15 1581224.25 155661.55 1532707.30 1631913.40 1501871.41 1491109.38 1512504.79 151
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
3Dnovator2220.89 92303.77 1542037.00 1562615.00 1562617.00 1612967.00 1622616.00 1565882.00 1641928.00 159589.00 146907.00 143528.00 1482443.00 1612370.00 1622392.00 1631543.00 1663167.00 159
DeepPCF-MVS3033.31 112362.79 1562183.15 1582572.38 1542349.28 1572383.16 1542740.92 1615212.97 1572043.02 160751.44 1521466.47 1601327.42 1842904.33 1642573.45 1672227.77 1571475.33 1613260.73 161
CHOSEN 280x4202225.10 1501992.66 1532496.28 1502192.10 1532641.81 1572621.41 1575345.34 1582116.46 1611002.26 1691683.84 164837.43 1602338.65 1531920.94 1512020.28 1531477.92 1622727.86 153
CHOSEN 1792x26882225.10 1501992.66 1532496.28 1502192.10 1532641.81 1572621.41 1575345.34 1582116.46 1611002.26 1691683.84 164837.43 1602338.65 1531920.94 1512020.28 1531477.92 1622727.86 153
HyFIR lowres test2225.10 1501992.66 1532496.28 1502192.10 1532641.81 1572621.41 1575345.34 1582116.46 1611002.26 1691683.84 164837.43 1602338.65 1531920.94 1512020.28 1531477.92 1622727.86 153
AdaColmapbinary2288.90 1532080.73 1572531.77 1532485.98 1592757.87 1602974.47 1624914.62 1552255.54 164804.63 1571611.14 163842.30 1632657.83 1622056.92 1551960.62 1511353.09 1593080.73 158
DVP-MVScopyleft3258.34 1712529.80 1624108.31 1744005.62 1774693.14 1784737.88 18110195.40 1812408.38 165941.44 1591505.82 161734.32 1553438.27 1732449.15 1632386.04 1621331.25 1583531.75 168
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
SteuartSystems-ACMMP2615.00 1582242.57 1593049.50 1642828.00 1632801.00 1613323.00 1676648.00 1682491.00 1661023.00 1721605.00 162697.00 1542926.00 1662502.00 1642279.00 1581549.00 1673323.00 163
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3173.67 122938.77 1652519.43 1613428.00 1663256.00 1693708.00 1723443.00 1687516.00 1712525.00 1671121.00 176972.00 145925.00 1683192.00 1682899.00 1702897.00 1742040.00 1773710.00 170
TSAR-MVS + MP.4216.58 1764674.68 1783682.13 1713752.63 1754315.48 1764264.77 1787782.51 1732583.81 1681125.68 17716722.30 189882.60 1653589.10 1742523.80 1662486.45 1661578.08 1683208.34 160
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
TAPA-MVS5463.68 162764.21 1642434.28 1603149.14 1653645.15 1743257.60 1673452.71 1696526.32 1672591.85 169651.36 1481964.77 176947.44 1692924.41 1652523.36 1652452.68 1651694.86 1723302.28 162
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + ACMM3184.92 1682679.45 1693774.64 1733302.51 1704168.07 1744256.74 1778947.31 1772634.53 1701026.25 1731723.72 1691043.87 1803387.29 1712794.29 1682687.41 1681727.73 1743704.25 169
COLMAP_ROBcopyleft3798.28 142690.62 1632704.29 1702674.67 1573138.00 1653522.00 1713826.00 1753219.00 1472702.00 1711138.00 1792260.00 1781212.00 1832968.00 1672936.00 1742571.00 1671759.00 1753727.00 171
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
DPM-MVS3051.54 1662661.57 1673506.50 1673532.00 1723332.00 1693744.00 1737839.00 1742772.00 172985.00 1611919.00 174738.00 1573319.00 1692901.00 1712715.00 1691620.00 1704254.00 174
OPM-MVS3051.54 1662661.57 1673506.50 1673532.00 1723332.00 1693744.00 1737839.00 1742772.00 172985.00 1611919.00 174738.00 1573319.00 1692901.00 1712715.00 1691620.00 1704254.00 174
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
MVS_111021_HR3192.50 1692773.91 1713680.86 1703515.58 1713815.81 1734020.82 1767766.11 1722775.23 1741300.96 1842221.19 1771117.25 1823420.01 1722873.98 1692835.60 1722061.69 1783778.31 172
MSP-MVS3241.28 1702825.26 1723726.65 1723945.31 1764305.03 1754267.51 1796962.25 1692896.37 1751068.15 1741824.25 1711061.55 1814307.30 1783013.40 1763171.41 1761809.38 1763504.79 167
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
SED-MVS3539.47 1732909.05 1734274.95 1764528.93 1804986.51 1795003.31 1838985.31 1782904.53 1761294.24 1831839.12 1721003.69 1784135.17 1762926.32 1732897.04 1751702.75 1733806.13 173
DVP-MVS++3961.71 1753092.38 1754975.92 1784850.81 1835691.32 1815760.96 18512294.80 1842980.85 1771135.72 1781840.86 173949.63 1704197.95 1773019.10 1772873.21 1731615.27 1694291.72 176
MAR-MVS3961.62 1743726.55 1764235.86 1754107.62 1796522.83 1834862.93 1827956.64 1763380.98 1781665.13 1863231.54 1821650.34 1874357.29 1793198.61 1783209.42 1772465.52 1814892.15 178
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
PLCcopyleft4785.50 153275.54 1723030.86 1743561.00 1694093.00 1784596.00 1775174.00 1844267.00 1513570.00 1791495.00 1852940.00 1811594.00 1863947.00 1753817.00 1793343.00 1782390.00 1791356.00 142
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
MVEpermissive11086.50 1813278.69 18412303.57 18514416.33 1859890.00 18817107.00 1914634.00 18059884.00 1903666.00 180966.00 1601792.00 170896.00 1675680.00 18220677.00 18923030.00 1885444.00 18718957.00 186
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
DeepC-MVS5581.15 174824.92 1785020.53 1794596.70 1774714.52 1813205.14 1653108.50 16410234.20 1823823.34 1811885.23 1889002.42 1852045.34 1914715.23 1817652.65 1833993.41 1792922.51 1825421.41 179
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
OMC-MVS4439.92 1773906.78 1775061.92 1794748.70 1825679.38 1805855.03 1879923.00 1794023.36 1821740.95 1871693.78 1671693.78 1884658.45 1804254.77 1804135.74 1803445.36 1835866.63 180
LS3D7481.83 1816596.02 1828515.28 1839871.71 1879844.03 1899225.16 19018308.40 1875364.90 1831267.41 1802381.61 1791512.79 1857225.72 1848875.69 1859516.28 1845193.26 1868676.83 183
TSAR-MVS + COLMAP6088.23 1795315.97 1806989.21 1806522.51 1858025.15 1877938.31 18815276.20 1855401.97 1841914.31 1893802.65 1831979.48 1906704.11 1835217.07 1815137.16 1813579.82 1847648.29 182
CLD-MVS6986.85 1806222.57 1817878.50 1827707.00 1868884.00 1889025.00 18915607.00 1866148.00 1852571.00 1904822.00 1842082.00 1927875.00 1856389.00 1826449.00 1834486.00 1858784.00 184
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
ACMMPcopyleft9999.00 1839999.00 1849999.00 1849999.00 1899999.00 1909999.00 1919999.00 1809999.00 1869999.00 1939999.00 1869999.00 1949999.00 1869999.00 1869999.00 1859999.00 1889999.00 185
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 18515907.71 18619927.67 18619334.00 19122387.00 19222896.00 19238668.00 18815772.00 1877632.00 19213229.00 1877123.00 19319334.00 18815773.00 18715700.00 18611702.00 19021370.00 187
ME-MVS8615.01 1829333.66 1837776.59 1814896.26 1846250.00 1825772.11 18611138.80 18321344.80 1883151.39 19115014.00 1881880.82 18910959.00 1878493.00 1846381.00 18210742.00 1895972.00 181
LTVRE_ROB38377.89 1949656.08 18718936.71 18785495.33 188306852.00 19422526.00 19329206.00 193112098.00 19230022.00 18917348.00 1952824.00 18011239.00 19529457.00 18920569.00 18819941.00 18718011.00 19125436.00 188
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 18629167.57 18834667.17 18744079.00 19228314.00 19444778.00 19443648.00 18931045.00 19014849.00 19426179.00 19013752.00 19638088.00 19030859.00 19030835.00 18922561.00 19243189.00 189
PHI-MVS99999.00 18899999.00 18999999.00 18999999.00 19399999.00 19599999.00 19599999.00 19199999.00 19199999.00 19699999.00 19199999.00 19799999.00 19199999.00 19199999.00 19099999.00 19399999.00 190
MGCFI-Net10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
sasdasda10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
dmvs_re10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
test250610000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
test111110000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
ECVR-MVScopyleft10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
ET-MVSNet_ETH3D10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
UniMVSNet_ETH3D10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
thisisatest053010000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
Anonymous20240521110000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
DCV-MVSNet10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
tttt051710000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
thisisatest051510000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
DPE-MVScopyleft10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
tfpnnormal10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
tfpn200view910000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
IterMVS-SCA-FT10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
pmmvs610000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
pmmvs510000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
Anonymous2023121110000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
pmmvs-eth3d10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
Anonymous2023120610000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
SCA10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
canonicalmvs10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
anonymousdsp10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
FC-MVSNet-train10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
UA-Net10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
FC-MVSNet-test10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
sosnet-low-res10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
DI_MVS_pp10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
HPM-MVS++copyleft10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
pm-mvs110000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
APDe-MVScopyleft10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
pmmvs410000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
test-LLR10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
TESTMET0.1,110000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
test-mter10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
testgi10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
test20.0310000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
thres600view710000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
MP-MVScopyleft10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
thres40010000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
test12310000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
thres20010000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
test0.0.03 110000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
pmmvs310000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
EMVS10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
E-PMN10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
PGM-MVS10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
MCST-MVS10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
PMMVS210000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
PM-MVS10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
LGP-MVS_train10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
EPNet_dtu10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
NCCC10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
CP-MVS10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
NP-MVS10000000.00 192
CPTT-MVS10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
HQP-MVS10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
IS_MVSNet10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
Vis-MVSNet (Re-imp)10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
PatchMatch-RL10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
TDRefinement10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
EPP-MVSNet10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
PMMVS10000000.00 18910000000.00 19010000000.00 19010000000.00 19510000000.00 19610000000.00 19610000000.00 19310000000.00 19210000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19210000000.00 19110000000.00 19410000000.00 191
APD-MVScopyleft1000000000.00 2561000000000.00 2581000000000.00 2571000000000.00 2651000000000.00 2651000000000.00 2661000000000.00 2611000000000.00 2611000000000.00 2661000000000.00 2611000000000.00 2681000000000.00 2611000000000.00 2601000000000.00 2591000000000.00 2631000000000.00 260
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
TPM-MVS10000000.00 19510000000.00 19610000000.00 19610000000.00 19710000000.00 19210000000.00 19810000000.00 19210000000.00 19410000000.00 191
Ray Leroy Khuboni and Hongjun Xu: Textureless Resilient Propagation Matching in Multiple View Stereosis (TPM-MVS). SATNAC 2025
RE-MVS-def610.10 147
9.140.00 1
SR-MVS610.10 118610.10 104610.10 150
our_test_39999.00 18999.00 8999.00 88
MTAPA41.98 8828.43 84
MTMP10000000.00 19731.71 86
Patchmatch-RL test10000000.00 196
XVS52.20 8252.20 8352.20 8352.20 9052.20 10052.20 85
X-MVStestdata52.20 8252.20 8352.20 8352.20 9052.20 10052.20 85
mPP-MVS10000000.00 19510000000.00 198
Patchmtry1825.90 151885.90 1321405.90 1261285.90 181