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 bysort bysort bysorted bysort bysort bysort bysort bysort bysort by
casdiffseed4146921470.00 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
gbinet_0.2-2-1-0.020.00 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
0.3-1-1-0.0150.00 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
0.4-1-1-0.10.00 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 10.00 1
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
v1441920.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 490.40 480.40 480.40 480.40 480.40 48
v19219200.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 490.40 480.40 480.40 480.40 480.40 48
v11920.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 490.40 480.40 480.40 480.40 480.40 48
v11440.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 490.40 480.40 480.40 480.40 480.40 48
v1480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 490.40 480.40 480.40 480.40 480.40 48
v7n0.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 490.40 480.40 480.40 480.40 480.40 48
v12400.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 490.40 480.40 480.40 480.40 480.40 48
v80.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 490.40 480.40 480.40 480.40 480.40 48
v100.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 490.40 480.40 480.40 480.40 480.40 48
v2v4820.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 490.40 480.40 480.40 480.40 480.40 48
V420.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 490.40 480.40 480.40 480.40 480.40 48
GA-MVS0.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 480.40 490.40 480.40 480.40 480.40 480.40 48
Fast-Effi-MVS+0.41 600.41 600.41 600.41 600.41 600.41 600.41 600.41 600.41 600.41 600.41 610.41 600.41 600.41 600.41 600.41 60
Effi-MVS+0.53 610.53 610.53 610.53 610.53 610.53 610.53 610.53 610.53 610.53 610.53 620.53 610.53 610.53 610.53 610.53 61
CDS-MVSNet0.88 620.88 620.88 620.88 620.88 620.88 620.88 620.88 620.88 620.88 620.88 630.88 620.88 620.88 620.88 620.88 62
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 620.88 620.88 620.88 620.88 620.88 620.88 620.88 620.88 620.88 620.88 630.88 620.88 620.88 620.88 620.88 62
DeepMVS_CXcopyleft1.00 641.00 641.00 641.00 641.00 641.00 641.00 651.00 641.00 641.00 641.00 64
MDA-MVSNet-bldmvs1.20 641.20 641.20 641.20 641.20 651.20 651.20 651.20 651.20 651.20 651.20 661.20 651.20 651.20 641.20 651.20 65
CVMVSNet1.42 651.42 651.42 651.42 651.42 661.42 661.42 661.42 661.42 661.42 661.42 671.42 661.42 661.42 651.42 661.42 66
EU-MVSNet1.42 651.42 651.42 651.42 651.42 661.42 661.42 661.42 661.42 661.42 661.42 671.42 661.42 661.42 651.42 661.42 66
PS-CasMVS1.42 651.42 651.42 651.42 651.42 661.42 661.42 661.42 661.42 661.42 661.42 671.42 661.42 661.42 651.42 661.42 66
UniMVSNet_NR-MVSNet1.42 651.42 651.42 651.42 651.42 661.42 661.42 661.42 661.42 661.42 661.42 671.42 661.42 661.42 651.42 661.42 66
PEN-MVS1.42 651.42 651.42 651.42 651.42 661.42 661.42 661.42 661.42 661.42 661.42 671.42 661.42 661.42 651.42 661.42 66
TransMVSNet (Re)1.42 651.42 651.42 651.42 651.42 661.42 661.42 661.42 661.42 661.42 661.42 671.42 661.42 661.42 651.42 661.42 66
DTE-MVSNet1.42 651.42 651.42 651.42 651.42 661.42 661.42 661.42 661.42 661.42 661.42 671.42 661.42 661.42 651.42 661.42 66
DU-MVS1.42 651.42 651.42 651.42 651.42 661.42 661.42 661.42 661.42 661.42 661.42 671.42 661.42 661.42 651.42 661.42 66
UniMVSNet (Re)1.42 651.42 651.42 651.42 651.42 661.42 661.42 661.42 661.42 661.42 661.42 671.42 661.42 661.42 651.42 661.42 66
CP-MVSNet1.42 651.42 651.42 651.42 651.42 661.42 661.42 661.42 661.42 661.42 661.42 671.42 661.42 661.42 651.42 661.42 66
WR-MVS_H1.42 651.42 651.42 651.42 651.42 661.42 661.42 661.42 661.42 661.42 661.42 671.42 661.42 661.42 651.42 661.42 66
WR-MVS1.42 651.42 651.42 651.42 651.42 661.42 661.42 661.42 661.42 661.42 661.42 671.42 661.42 661.42 651.42 661.42 66
NR-MVSNet1.42 651.42 651.42 651.42 651.42 661.42 661.42 661.42 661.42 661.42 661.42 671.42 661.42 661.42 651.42 661.42 66
Baseline_NR-MVSNet1.42 651.42 651.42 651.42 651.42 661.42 661.42 661.42 661.42 661.42 661.42 671.42 661.42 661.42 651.42 661.42 66
TranMVSNet+NR-MVSNet1.42 651.42 651.42 651.42 651.42 661.42 661.42 661.42 661.42 661.42 661.42 671.42 661.42 661.42 651.42 661.42 66
CDPH-MVS6.66 806.66 806.66 806.66 806.66 816.66 816.66 816.66 816.66 816.66 816.66 826.66 816.66 816.66 806.66 816.66 81
MDTV_nov1_ep13_2view9.99 819.99 819.99 819.99 819.99 829.99 829.99 829.99 829.99 849.99 829.99 859.99 829.99 829.99 819.99 829.99 82
MDTV_nov1_ep139.99 819.99 819.99 819.99 819.99 829.99 829.99 829.99 829.99 849.99 829.99 859.99 829.99 829.99 819.99 829.99 82
test_method18.19 8315.64 8321.17 8319.00 8322.00 8422.50 8438.00 8515.50 847.50 8213.00 847.00 8319.00 8515.50 8515.50 8321.00 8421.00 84
GeoE20.05 8418.83 8421.47 8425.60 8429.60 8522.50 8431.20 8419.10 858.30 8313.50 859.40 8417.80 8414.10 8417.50 8423.40 8528.60 85
GBi-Net39.84 8535.75 8544.63 8543.04 8549.88 8651.06 8686.51 8735.34 8617.20 8629.83 8615.85 8743.43 8835.35 8635.70 8526.51 8848.28 88
X-MVS52.20 8652.20 8652.20 8652.20 8652.20 8752.20 8752.20 8652.20 8752.20 9452.20 8752.20 10452.20 8952.20 8752.20 8652.20 8952.20 89
new_pmnet75.00 8774.67 8775.39 8785.42 8996.03 9198.77 90173.23 8869.57 8836.19 8756.93 88117.43 11032.98 8685.38 9568.41 8725.74 8628.95 86
N_pmnet75.00 8774.67 8775.39 8785.42 8996.03 9198.77 90173.23 8869.57 8836.19 8756.93 88117.43 11032.98 8685.38 9568.41 8725.74 8628.95 86
CANet100.44 8993.07 89109.04 89111.90 91131.06 95119.40 93222.42 9780.48 9036.93 8970.80 9040.92 9189.90 90100.59 97101.42 9073.68 93126.25 90
CANet_DTU100.44 8993.07 89109.04 89111.90 91131.06 95119.40 93222.42 9780.48 9036.93 8970.80 9040.92 9189.90 90100.59 97101.42 9073.68 93126.25 90
UGNet100.44 8993.07 89109.04 89111.90 91131.06 95119.40 93222.42 9780.48 9036.93 8970.80 9040.92 9189.90 90100.59 97101.42 9073.68 93126.25 90
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
ACMMP_NAP119.64 99106.58 92134.88 99123.82 94127.44 94145.38 96298.43 104116.16 10343.72 9377.82 9329.30 89131.24 100117.82 103106.21 9366.69 92171.29 103
PVSNet_Blended_VisFu129.22 100115.76 100144.92 100140.60 102162.80 105166.50 104281.20 101114.70 9355.50 9796.20 9451.80 101140.60 101114.70 100114.70 10185.10 96155.40 93
PVSNet_BlendedMVS129.22 100115.76 100144.92 100140.60 102162.80 105166.50 104281.20 101114.70 9355.50 9796.20 9451.80 101140.60 101114.70 100114.70 10185.10 96155.40 93
PVSNet_Blended129.22 100115.76 100144.92 100140.60 102162.80 105166.50 104281.20 101114.70 9355.50 9796.20 9451.80 101140.60 101114.70 100114.70 10185.10 96155.40 93
FMVSNet5116.86 92110.47 93124.32 92131.47 95157.41 98150.67 97199.64 90115.30 9656.61 10097.70 9751.77 94117.26 9377.26 88113.14 9490.25 99160.68 96
test1116.86 92110.47 93124.32 92131.47 95157.41 98150.67 97199.64 90115.30 9656.61 10097.70 9751.77 94117.26 9377.26 88113.14 9490.25 99160.68 96
FMVSNet3116.86 92110.47 93124.32 92131.47 95157.41 98150.67 97199.64 90115.30 9656.61 10097.70 9751.77 94117.26 9377.26 88113.14 9490.25 99160.68 96
FMVSNet2116.86 92110.47 93124.32 92131.47 95157.41 98150.67 97199.64 90115.30 9656.61 10097.70 9751.77 94117.26 9377.26 88113.14 9490.25 99160.68 96
FMVSNet1116.86 92110.47 93124.32 92131.47 95157.41 98150.67 97199.64 90115.30 9656.61 10097.70 9751.77 94117.26 9377.26 88113.14 9490.25 99160.68 96
MIMVSNet1116.86 92110.47 93124.32 92131.47 95157.41 98150.67 97199.64 90115.30 9656.61 10097.70 9751.77 94117.26 9377.26 88113.14 9490.25 99160.68 96
MIMVSNet116.86 92110.47 93124.32 92131.47 95157.41 98150.67 97199.64 90115.30 9656.61 10097.70 9751.77 94117.26 9377.26 88113.14 9490.25 99160.68 96
FA-MVS(training)203.85 103180.15 103231.50 103222.82 105259.22 108245.99 107478.61 106172.32 10682.03 108130.35 10472.14 107221.74 105190.35 104197.39 104137.78 107239.26 104
SixPastTwentyTwo210.90 104189.75 104235.58 104225.41 106284.88 109267.17 108485.88 107164.28 10576.51 107137.62 10576.69 108214.49 104206.28 105208.00 105144.02 108250.52 105
EG-PatchMatch MVS402.98 107364.36 107448.05 108435.50 111473.00 116489.60 115910.20 116338.60 110127.30 110205.10 106123.50 112434.60 109450.70 112447.70 110291.10 112511.90 109
WB-MVS316.93 105277.98 105362.37 106386.49 108371.32 114360.90 113844.52 115232.58 107102.36 109215.57 107104.13 109287.33 107336.96 107318.49 106192.62 109366.78 107
ADS-MVSNet452.36 109406.02 109506.42 112534.76 118628.22 120552.79 1171009.99 124333.98 108149.26 111246.67 108149.01 113447.03 111465.35 113501.18 113344.69 115517.75 110
RPSCF376.53 106341.80 106417.05 107418.60 110457.01 115467.46 114825.25 114336.12 109159.32 113260.40 109151.13 114386.94 108364.25 108352.10 107244.72 110471.62 108
PatchmatchNetpermissive452.63 110410.20 110502.13 111520.70 117614.40 118546.00 1161018.80 125379.00 112167.50 114277.10 110169.40 116437.10 110437.10 110457.50 111322.70 114536.90 111
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
MS-PatchMatch438.85 108388.71 108497.33 109479.00 112527.00 117558.00 118988.00 117379.00 112174.00 115278.00 111162.00 115494.00 113418.00 109412.00 108291.00 111545.00 112
PMVScopyleft743.55 2836.66 133637.90 1301068.55 1421306.50 150875.12 1351166.70 1482629.00 146512.24 123196.22 117282.69 112237.15 124597.87 118842.47 136765.54 135514.99 132950.09 133
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
DELS-MVS458.84 111423.31 111500.30 110511.99 116616.59 119578.86 119991.10 118355.79 111158.99 112319.09 113190.62 118453.64 112437.73 111439.52 109307.20 113603.81 113
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 112472.40 112607.16 114690.38 126718.85 123636.03 1201231.66 127422.74 114198.65 118325.68 114194.97 119512.90 115509.81 115513.65 114373.33 117621.11 114
pmnet_mix02659.48 127547.83 120789.74 130720.05 127846.87 134740.59 1242153.63 143456.15 121191.24 116336.49 115200.39 120511.90 114608.74 123634.29 126421.05 121751.91 122
IterMVS554.60 115488.63 113631.57 119636.90 123700.80 121674.70 1221271.10 129430.50 115207.10 120370.50 116202.70 121611.80 119534.20 118545.30 117387.80 118636.40 115
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS750.90 3552.99 114511.38 118601.53 113606.02 121735.75 125688.75 1231183.86 126436.09 116210.63 121397.40 117233.85 123551.05 116521.77 116533.78 116368.88 116721.05 121
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
ACMH+702.88 1670.82 128589.81 128765.33 129662.52 125701.42 122795.24 1261698.33 139598.81 134226.55 122403.02 118187.13 117786.82 131724.80 134646.56 127422.52 122866.95 131
MVS_Test654.54 120583.51 121737.40 122721.80 128822.10 127808.60 1271494.00 131542.20 126259.90 124441.60 119257.70 127689.10 123620.80 124617.70 119451.00 124782.50 123
casdiffmvspermissive654.54 120583.51 121737.40 122721.80 128822.10 127808.60 1271494.00 131542.20 126259.90 124441.60 119257.70 127689.10 123620.80 124617.70 119451.00 124782.50 123
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 120583.51 121737.40 122721.80 128822.10 127808.60 1271494.00 131542.20 126259.90 124441.60 119257.70 127689.10 123620.80 124617.70 119451.00 124782.50 123
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 120583.51 121737.40 122721.80 128822.10 127808.60 1271494.00 131542.20 126259.90 124441.60 119257.70 127689.10 123620.80 124617.70 119451.00 124782.50 123
baseline1654.54 120583.51 121737.40 122721.80 128822.10 127808.60 1271494.00 131542.20 126259.90 124441.60 119257.70 127689.10 123620.80 124617.70 119451.00 124782.50 123
casdiffmvs_mvgpermissive654.54 120583.51 121737.40 122721.80 128822.10 127808.60 1271494.00 131542.20 126259.90 124441.60 119257.70 127689.10 123620.80 124617.70 119451.00 124782.50 123
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 120583.51 121737.40 122721.80 128822.10 127808.60 1271494.00 131542.20 126259.90 124441.60 119257.70 127689.10 123620.80 124617.70 119451.00 124782.50 123
Gipumacopyleft587.77 119529.57 119655.67 120637.00 124733.00 124749.00 1251245.00 128525.00 124269.00 131445.00 126253.00 125637.00 121525.00 117525.00 115397.00 119701.00 120
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
new-patchmatchnet712.65 129632.59 129806.05 133787.79 135936.25 138882.47 1351795.72 140528.60 125244.29 123471.90 127257.36 126681.47 122705.16 133659.05 132444.55 123869.82 132
tmp_tt299.50 105365.00 10754.00 90649.00 121241.00 100159.00 104204.00 119479.00 128308.00 137243.00 106246.00 10682.00 8995.00 106
IterMVS-LS714.97 130638.00 131804.77 132793.60 136914.20 136886.50 1371612.70 138588.30 133285.30 132491.20 129278.40 135759.20 130677.40 132681.30 133491.30 131835.20 130
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
GG-mvs-BLEND557.53 116503.49 114620.58 116485.90 113370.41 110267.30 109710.53 110454.42 117785.72 157491.23 130326.12 139881.92 134538.27 119650.05 128592.08 136693.94 116
gm-plane-assit551.84 113503.49 114608.24 115411.90 109370.41 110267.30 109710.53 110454.42 117785.72 157491.23 130326.12 139881.92 134538.27 119650.05 128592.08 136693.94 116
gg-mvs-nofinetune557.53 116503.49 114620.58 116485.90 113370.41 110267.30 109710.53 110454.42 117785.72 157491.23 130326.12 139881.92 134538.27 119650.05 128592.08 136693.94 116
CR-MVSNet557.53 116503.49 114620.58 116485.90 113370.41 110267.30 109710.53 110454.42 117785.72 157491.23 130326.12 139881.92 134538.27 119650.05 128592.08 136693.94 116
MSLP-MVS++993.91 137732.21 1331299.24 1461631.22 1531345.26 1511480.05 1522524.20 145735.65 136463.57 147499.89 134302.78 1361292.66 148675.99 131612.79 118403.71 120953.11 135
FPMVS1356.65 1491072.60 1471688.04 1501840.79 1541397.01 1521793.24 1564397.86 159804.66 137408.78 142538.65 135407.36 148894.84 1391587.73 1521286.38 151792.73 1461486.39 149
MVSTER834.63 132737.03 134948.49 134988.86 1381140.51 1491129.34 1471832.80 142682.42 135319.01 133550.98 136311.35 138872.51 133763.95 135757.83 134548.41 133952.20 134
RPMNet858.01 134961.99 140736.69 121550.05 1191120.24 1471212.05 149463.05 105485.90 122550.05 149580.05 137890.05 170559.05 1171485.90 1511185.90 1491085.90 154985.90 136
CSCG727.26 131663.25 132801.94 131590.65 120811.25 126854.12 1341805.32 141816.43 139388.25 137612.42 138345.37 145621.61 120507.46 114471.55 112551.65 1341078.31 143
ACMH935.68 4948.23 136857.00 1361054.67 141946.00 137970.00 1391125.00 1462467.00 144823.00 140330.00 135622.00 139211.00 122891.00 138970.00 1391061.00 146569.00 1351342.00 145
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ACMM1129.18 51047.56 143912.90 1371204.67 1431040.21 1451016.71 1461105.32 1442918.67 149813.91 138327.22 134665.34 140267.72 1341192.58 1471091.35 147991.88 139643.99 1411543.40 152
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
TSAR-MVS + GP.1239.27 1461094.74 1491407.89 1471220.99 1491845.47 1561680.98 1553191.81 1521098.41 150362.98 136679.12 141339.31 1441323.06 1491173.24 1501093.83 147667.49 1421433.78 148
MVS_111021_LR1055.24 144916.36 1381217.27 1441129.93 1481268.26 1501313.88 1512635.76 147923.19 141396.92 141704.88 142327.66 1431136.32 146965.38 138946.95 136690.83 1441278.20 144
ACMP1170.86 61091.37 145943.23 1391264.21 1451112.10 1471138.94 1481276.90 1502675.36 148989.62 143426.15 145742.77 143349.09 1471454.51 1521047.36 146969.90 138640.22 1401364.94 147
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PatchT878.42 135785.05 135987.36 1351050.05 146922.05 1371111.05 145677.05 109950.05 1421285.90 185750.05 144640.05 156850.05 132950.05 137950.05 137950.05 147333.05 106
DeepC-MVS_fast2081.98 81311.87 1481172.50 1501474.47 1481411.78 1511397.23 1531519.03 1533401.40 1551201.29 151417.90 143801.95 145976.25 1751409.37 1501114.52 1481201.12 150687.33 1431515.14 151
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMMPR1265.65 1471083.59 1481478.06 1491441.06 1521438.61 1541540.68 1543284.05 1541219.68 152458.81 146803.22 146346.91 1461421.66 1511126.11 1491150.51 148722.08 1451500.09 150
3Dnovator2220.89 92303.77 1582037.00 1602615.00 1602617.00 1652967.00 1662616.00 1605882.00 1701928.00 163589.00 150907.00 147528.00 1522443.00 1652370.00 1662392.00 1671543.00 1703167.00 163
OpenMVScopyleft2049.89 71895.92 1501721.29 1512099.67 1512064.00 1552419.00 1592138.00 1574572.00 1601541.00 157548.00 148937.00 148580.00 1531983.00 1541971.00 1581993.00 1561293.00 1602608.00 156
3Dnovator+3173.67 122938.77 1692519.43 1653428.00 1703256.00 1733708.00 1763443.00 1747516.00 1772525.00 1711121.00 180972.00 149925.00 1723192.00 1722899.00 1742897.00 1782040.00 1813710.00 174
CMPMVSbinary2507.20 102083.60 1521983.13 1562200.81 1532582.70 1643097.30 1672332.10 1584364.50 1581390.00 153653.68 153997.75 150742.65 1631880.20 1532298.80 1642413.60 1681391.70 1642941.80 161
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
ambc999.00 141999.00 139999.00 140999.00 138999.00 144999.00 167999.00 151999.00 176999.00 140999.00 140999.00 140999.00 148999.00 137
EPMVS999.00 138999.00 141999.00 136999.00 139999.00 140999.00 138999.00 119999.00 144999.00 167999.00 151999.00 176999.00 140999.00 140999.00 140999.00 148999.00 137
uanet_test1000.00 1391000.00 1431000.00 1371000.00 1411000.00 1421000.00 1401000.00 1201000.00 1461000.00 1691000.00 1531000.00 1781000.00 1421000.00 1421000.00 1421000.00 1501000.00 139
sosnet1000.00 1391000.00 1431000.00 1371000.00 1411000.00 1421000.00 1401000.00 1201000.00 1461000.00 1691000.00 1531000.00 1781000.00 1421000.00 1421000.00 1421000.00 1501000.00 139
USDC1000.00 1391000.00 1431000.00 1371000.00 1411000.00 1421000.00 1401000.00 1201000.00 1461000.00 1691000.00 1531000.00 1781000.00 1421000.00 1421000.00 1421000.00 1501000.00 139
TinyColmap1000.00 1391000.00 1431000.00 1371000.00 1411000.00 1421000.00 1401000.00 1201000.00 1461000.00 1691000.00 1531000.00 1781000.00 1421000.00 1421000.00 1421000.00 1501000.00 139
Vis-MVSNetpermissive2390.77 1611976.57 1552874.00 1672644.00 1663248.00 1703040.00 1677371.00 1761627.00 158421.00 1441200.00 157622.00 1552251.00 1562326.00 1652052.00 1601517.00 1692761.00 160
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
PCF-MVS3738.24 132129.60 1531746.89 1522576.10 1592258.22 1602263.67 1572650.06 1646361.78 1721676.15 159695.66 1541209.77 158737.88 1602237.28 1552083.02 1601835.31 1521253.58 1592422.45 154
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
SD-MVS2324.36 1591910.97 1542806.65 1662945.31 1683305.03 1723267.51 1715962.25 1711896.37 162848.15 1621224.25 159661.55 1572707.30 1671913.40 1541871.41 1531109.38 1552504.79 155
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
tpm cat12652.13 1632606.66 1682705.18 1623151.86 1706902.39 1883612.17 1765463.78 1671457.76 154391.31 1381358.61 160446.44 1492360.09 1602296.48 1612290.90 1631251.84 1563494.04 168
CostFormer2652.13 1632606.66 1682705.18 1623151.86 1706902.39 1883612.17 1765463.78 1671457.76 154391.31 1381358.61 160446.44 1492360.09 1602296.48 1612290.90 1631251.84 1563494.04 168
tpm2652.13 1632606.66 1682705.18 1623151.86 1706902.39 1883612.17 1765463.78 1671457.76 154391.31 1381358.61 160446.44 1492360.09 1602296.48 1612290.90 1631251.84 1563494.04 168
MVS-HIRNet1975.98 1511797.02 1532184.76 1522111.07 1562443.03 1602503.43 1594063.71 1561684.46 160711.34 1551456.05 163848.70 1682396.26 1631900.93 1531915.01 1541322.75 1612330.99 153
DeepPCF-MVS3033.31 112362.79 1602183.15 1622572.38 1582349.28 1612383.16 1582740.92 1655212.97 1632043.02 164751.44 1561466.47 1641327.42 1882904.33 1682573.45 1712227.77 1611475.33 1653260.73 165
DVP-MVScopyleft3258.34 1752529.80 1664108.31 1784005.62 1814693.14 1824737.88 18710195.40 1872408.38 169941.44 1631505.82 165734.32 1593438.27 1772449.15 1672386.04 1661331.25 1623531.75 172
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 1622242.57 1633049.50 1682828.00 1672801.00 1653323.00 1736648.00 1742491.00 1701023.00 1761605.00 166697.00 1582926.00 1702502.00 1682279.00 1621549.00 1713323.00 167
Skip Steuart: Steuart Systems R&D Blog.
AdaColmapbinary2288.90 1572080.73 1612531.77 1572485.98 1632757.87 1642974.47 1664914.62 1612255.54 168804.63 1611611.14 167842.30 1672657.83 1662056.92 1591960.62 1551353.09 1633080.73 162
CHOSEN 280x4202225.10 1541992.66 1572496.28 1542192.10 1572641.81 1612621.41 1615345.34 1642116.46 1651002.26 1731683.84 168837.43 1642338.65 1571920.94 1552020.28 1571477.92 1662727.86 157
CHOSEN 1792x26882225.10 1541992.66 1572496.28 1542192.10 1572641.81 1612621.41 1615345.34 1642116.46 1651002.26 1731683.84 168837.43 1642338.65 1571920.94 1552020.28 1571477.92 1662727.86 157
HyFIR lowres test2225.10 1541992.66 1572496.28 1542192.10 1572641.81 1612621.41 1615345.34 1642116.46 1651002.26 1731683.84 168837.43 1642338.65 1571920.94 1552020.28 1571477.92 1662727.86 157
OMC-MVS4439.92 1813906.78 1815061.92 1844748.70 1865679.38 1845855.03 1929923.00 1854023.36 1861740.95 1911693.78 1711693.78 1924658.45 1844254.77 1844135.74 1843445.36 1895866.63 184
tpmrst2688.71 1662604.46 1672787.00 1652472.96 1623190.36 1683313.69 1725003.06 1621837.26 1611097.38 1791721.89 1721012.20 1832415.09 1642970.27 1792736.80 1752419.79 1844762.44 181
TSAR-MVS + ACMM3184.92 1722679.45 1733774.64 1773302.51 1744168.07 1784256.74 1838947.31 1832634.53 1741026.25 1771723.72 1731043.87 1843387.29 1752794.29 1722687.41 1721727.73 1783704.25 173
MVEpermissive11086.50 1813278.69 18812303.57 18914416.33 1899890.00 19217107.00 1954634.00 18659884.00 1953666.00 184966.00 1641792.00 174896.00 1715680.00 18620677.00 19323030.00 1925444.00 19318957.00 190
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
MSP-MVS3241.28 1742825.26 1763726.65 1763945.31 1804305.03 1794267.51 1856962.25 1752896.37 1791068.15 1781824.25 1751061.55 1854307.30 1823013.40 1803171.41 1801809.38 1803504.79 171
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 1772909.05 1774274.95 1804528.93 1844986.51 1835003.31 1898985.31 1842904.53 1801294.24 1871839.12 1761003.69 1824135.17 1802926.32 1772897.04 1791702.75 1773806.13 177
DVP-MVS++3961.71 1793092.38 1794975.92 1834850.81 1875691.32 1855760.96 19112294.80 1892980.85 1811135.72 1821840.86 177949.63 1744197.95 1813019.10 1812873.21 1771615.27 1734291.72 180
DPM-MVS3051.54 1702661.57 1713506.50 1713532.00 1763332.00 1733744.00 1797839.00 1802772.00 176985.00 1651919.00 178738.00 1613319.00 1732901.00 1752715.00 1731620.00 1744254.00 178
OPM-MVS3051.54 1702661.57 1713506.50 1713532.00 1763332.00 1733744.00 1797839.00 1802772.00 176985.00 1651919.00 178738.00 1613319.00 1732901.00 1752715.00 1731620.00 1744254.00 178
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TAPA-MVS5463.68 162764.21 1682434.28 1643149.14 1693645.15 1783257.60 1713452.71 1756526.32 1732591.85 173651.36 1521964.77 180947.44 1732924.41 1692523.36 1692452.68 1691694.86 1763302.28 166
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
MVS_111021_HR3192.50 1732773.91 1753680.86 1743515.58 1753815.81 1774020.82 1827766.11 1782775.23 1781300.96 1882221.19 1811117.25 1863420.01 1762873.98 1732835.60 1762061.69 1823778.31 176
COLMAP_ROBcopyleft3798.28 142690.62 1672704.29 1742674.67 1613138.00 1693522.00 1753826.00 1813219.00 1532702.00 1751138.00 1832260.00 1821212.00 1872968.00 1712936.00 1782571.00 1711759.00 1793727.00 175
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
LS3D7481.83 1866596.02 1868515.28 1879871.71 1919844.03 1939225.16 19518308.40 1925364.90 1871267.41 1842381.61 1831512.79 1897225.72 1888875.69 1899516.28 1885193.26 1928676.83 187
LTVRE_ROB38377.89 1949656.08 19118936.71 19185495.33 192306852.00 19822526.00 19729206.00 198112098.00 19730022.00 19317348.00 2002824.00 18411239.00 19929457.00 19320569.00 19219941.00 19118011.00 19625436.00 192
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
PLCcopyleft4785.50 153275.54 1763030.86 1783561.00 1734093.00 1824596.00 1815174.00 1904267.00 1573570.00 1831495.00 1892940.00 1851594.00 1903947.00 1793817.00 1833343.00 1822390.00 1831356.00 146
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
MAR-MVS3961.62 1783726.55 1804235.86 1794107.62 1836522.83 1874862.93 1887956.64 1823380.98 1821665.13 1903231.54 1861650.34 1914357.29 1833198.61 1823209.42 1812465.52 1854892.15 182
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 + COLMAP6088.23 1835315.97 1846989.21 1856522.51 1898025.15 1917938.31 19315276.20 1905401.97 1881914.31 1933802.65 1871979.48 1946704.11 1875217.07 1855137.16 1853579.82 1907648.29 186
CLD-MVS6986.85 1846222.57 1857878.50 1867707.00 1908884.00 1929025.00 19415607.00 1916148.00 1892571.00 1944822.00 1882082.00 1967875.00 1896389.00 1866449.00 1874486.00 1918784.00 188
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
DeepC-MVS5581.15 174824.92 1825020.53 1834596.70 1814714.52 1853205.14 1693108.50 16810234.20 1883823.34 1851885.23 1929002.42 1892045.34 1954715.23 1857652.65 1873993.41 1832922.51 1865421.41 183
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMMPcopyleft9999.00 1879999.00 1889999.00 1889999.00 1939999.00 1949999.00 1969999.00 1869999.00 1909999.00 1989999.00 1909999.00 1989999.00 1909999.00 1909999.00 1899999.00 1949999.00 189
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 18915907.71 19019927.67 19019334.00 19522387.00 19622896.00 19738668.00 19315772.00 1917632.00 19713229.00 1917123.00 19719334.00 19215773.00 19115700.00 19011702.00 19521370.00 191
ME-MVS7215.11 1859333.66 1874743.47 1824896.26 1886250.00 1863151.39 1693151.39 15021344.80 1923151.39 19515014.00 1921880.82 19310959.00 1918493.00 1886381.00 1863151.39 1875972.00 185
TSAR-MVS + MP.4216.58 1804674.68 1823682.13 1753752.63 1794315.48 1804264.77 1847782.51 1792583.81 1721125.68 18116722.30 193882.60 1693589.10 1782523.80 1702486.45 1701578.08 1723208.34 164
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
MSDG31705.85 19029167.57 19234667.17 19144079.00 19628314.00 19844778.00 19943648.00 19431045.00 19414849.00 19926179.00 19413752.00 20038088.00 19430859.00 19430835.00 19322561.00 19743189.00 193
PHI-MVS99999.00 19299999.00 19399999.00 19399999.00 19799999.00 19999999.00 20099999.00 19699999.00 19599999.00 20199999.00 19599999.00 20199999.00 19599999.00 19599999.00 19499999.00 19899999.00 194
MGCFI-Net10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
sasdasda10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
dmvs_re10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
TPM-MVS10000000.00 19910000000.00 20010000000.00 20110000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19910000000.00 195
Ray Leroy Khuboni and Hongjun Xu: Textureless Resilient Propagation Matching in Multiple View Stereosis (TPM-MVS). SATNAC 2025
test250610000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
test111110000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
ECVR-MVScopyleft10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
ET-MVSNet_ETH3D10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
UniMVSNet_ETH3D10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
thisisatest053010000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
Anonymous20240521110000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
DCV-MVSNet10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
tttt051710000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
thisisatest051510000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
DPE-MVScopyleft10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
tfpnnormal10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
tfpn200view910000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
IterMVS-SCA-FT10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
pmmvs610000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
pmmvs510000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
Anonymous2023121110000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
pmmvs-eth3d10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
Anonymous2023120610000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
SCA10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
canonicalmvs10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
anonymousdsp10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
FC-MVSNet-train10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
UA-Net10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
FC-MVSNet-test10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
sosnet-low-res10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
DI_MVS_pp10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
HPM-MVS++copyleft10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
pm-mvs110000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
APDe-MVScopyleft10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
pmmvs410000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
test-LLR10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
TESTMET0.1,110000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
test-mter10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
testgi10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
test20.0310000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
thres600view710000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
MP-MVScopyleft10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
thres40010000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
test12310000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
thres20010000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
test0.0.03 110000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
pmmvs310000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
EMVS10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
E-PMN10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
PGM-MVS10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
MCST-MVS10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
PMMVS210000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
PM-MVS10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
LGP-MVS_train10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
EPNet_dtu10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
NCCC10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
CP-MVS10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
CPTT-MVS10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
HQP-MVS10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
IS_MVSNet10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
Vis-MVSNet (Re-imp)10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
PatchMatch-RL10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
TDRefinement10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
EPP-MVSNet10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
PMMVS10000000.00 19310000000.00 19410000000.00 19410000000.00 19910000000.00 20010000000.00 20110000000.00 19810000000.00 19610000000.00 20210000000.00 19610000000.00 20210000000.00 19610000000.00 19610000000.00 19510000000.00 19910000000.00 195
APD-MVScopyleft1000000000.00 2601000000000.00 2621000000000.00 2611000000000.00 2691000000000.00 2691000000000.00 2711000000000.00 2661000000000.00 2651000000000.00 2711000000000.00 2651000000000.00 2721000000000.00 2651000000000.00 2641000000000.00 2631000000000.00 2681000000000.00 264
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
TestfortrainingZip3151.39 1693151.39 1503151.39 1953151.39 187
RE-MVS-def610.10 151
9.140.00 1
SR-MVS610.10 122610.10 108610.10 154
our_test_39999.00 19399.00 9399.00 92
MTAPA41.98 9228.43 88
MTMP10000000.00 20231.71 90
Patchmatch-RL test10000000.00 201
XVS52.20 8652.20 8752.20 8752.20 9452.20 10452.20 89
X-MVStestdata52.20 8652.20 8752.20 8752.20 9452.20 10452.20 89
mPP-MVS10000000.00 19910000000.00 202
NP-MVS10000000.00 196
Patchmtry1825.90 155885.90 1361405.90 1301285.90 185