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

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

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

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

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




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
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 1
agg_prior30.00 10.00 10.00 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
agg_prior10.00 10.00 10.00 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 1
region2R0.00 10.00 10.00 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
#test#0.00 10.00 10.00 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
test_prior30.00 10.00 10.00 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
13140.00 10.00 10.00 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
11210.00 10.00 10.00 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
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 1
abl_60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 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 1
LCM-MVSNet0.37 130.36 130.37 180.37 230.37 240.37 230.32 240.37 230.37 230.37 210.37 230.37 240.37 220.37 220.37 23
v1441920.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v19219200.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v11920.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v11440.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v1480.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v7480.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v7n0.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v11410.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v1neww0.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v7new0.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v12400.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v180.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v170.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v160.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
divwei89l23v2f1120.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v150.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v130.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v120.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v80.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v70.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v60.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v110.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v520.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
V140.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v100.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
V40.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v2v4820.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
v10.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
V420.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
V90.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
GA-MVS0.40 140.40 140.40 190.40 240.40 250.40 240.40 260.40 240.40 240.40 220.40 240.40 250.40 230.40 230.40 24
Fast-Effi-MVS+0.41 450.40 140.41 500.41 550.41 560.41 550.35 250.41 550.41 550.41 530.41 550.41 560.41 540.41 540.41 55
Fast-Effi-MVS+-dtu0.44 460.44 460.44 510.44 560.44 570.44 560.44 570.44 560.44 560.44 540.44 560.44 570.44 550.44 550.44 56
Effi-MVS+0.58 470.56 470.62 530.53 570.62 590.53 570.53 580.53 570.62 580.62 560.53 570.62 590.62 560.53 560.62 58
Effi-MVS+-dtu0.59 480.61 480.53 520.68 580.53 580.53 570.68 590.68 580.53 570.53 550.68 580.53 580.68 570.53 560.53 57
mvs-test10.68 490.68 490.68 540.68 580.68 600.68 590.68 590.68 580.68 590.68 570.68 580.68 600.68 570.68 580.68 59
CDS-MVSNet0.88 500.88 500.88 550.88 600.88 610.88 600.88 610.88 600.88 600.88 580.88 600.88 610.88 590.88 590.88 60
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 500.88 500.88 550.88 600.88 610.88 600.88 610.88 600.88 600.88 580.88 600.88 610.88 590.88 590.88 60
LCM-MVSNet-Re0.89 520.89 520.89 570.89 620.89 630.89 620.89 630.89 620.89 620.89 600.89 620.89 630.89 610.89 610.89 62
MDA-MVSNet-bldmvs1.20 531.20 531.20 591.20 641.20 661.20 631.20 661.20 641.20 641.20 621.20 641.20 651.20 631.20 631.20 64
YYNet11.20 531.20 531.20 591.20 641.20 661.20 631.20 661.20 641.20 641.20 621.20 641.20 651.20 631.20 631.20 64
MDA-MVSNet_test_wron1.20 531.20 531.20 591.20 641.20 661.20 631.20 661.20 641.20 641.20 621.20 641.20 651.20 631.20 631.20 64
EI-MVSNet-UG-set1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
EI-MVSNet-Vis-set1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
Regformer-31.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
Regformer-41.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
Regformer-11.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
Regformer-21.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
EI-MVSNet1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
Regformer1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
CVMVSNet1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
EU-MVSNet1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
PS-CasMVS1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
UniMVSNet_NR-MVSNet1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
PEN-MVS1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
TransMVSNet (Re)1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
DTE-MVSNet1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
DU-MVS1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
UniMVSNet (Re)1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
CP-MVSNet1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
WR-MVS_H1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
WR-MVS1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
NR-MVSNet1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
Baseline_NR-MVSNet1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
TranMVSNet+NR-MVSNet1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
MVSFormer1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
jason1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
jason: jason.
lupinMVS1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
test_djsdf1.42 561.42 561.42 621.42 671.42 691.42 661.42 691.42 671.42 671.42 651.42 671.42 681.42 661.42 661.42 67
alignmvs2.00 832.00 832.00 892.00 942.00 962.00 932.00 982.00 942.00 942.00 922.00 942.00 952.00 932.00 932.00 94
nrg0302.00 832.00 832.00 892.00 942.00 962.00 932.00 982.00 942.00 942.00 922.00 942.00 952.00 932.00 932.00 94
LFMVS2.00 832.00 832.00 892.00 942.00 962.00 932.00 982.00 942.00 942.00 922.00 942.00 952.00 932.00 932.00 94
VDD-MVS2.00 832.00 832.00 892.00 942.00 962.00 932.00 982.00 942.00 942.00 922.00 942.00 952.00 932.00 932.00 94
VDDNet2.00 832.00 832.00 892.00 942.00 962.00 932.00 982.00 942.00 942.00 922.00 942.00 952.00 932.00 932.00 94
VPNet2.00 832.00 832.00 892.00 942.00 962.00 932.00 982.00 942.00 942.00 922.00 942.00 952.00 932.00 932.00 94
VNet2.00 832.00 832.00 892.00 942.00 962.00 932.00 982.00 942.00 942.00 922.00 942.00 952.00 932.00 932.00 94
VPA-MVSNet2.00 832.00 832.00 892.00 942.00 962.00 932.00 982.00 942.00 942.00 922.00 942.00 952.00 932.00 932.00 94
cascas2.00 832.00 832.00 892.00 942.00 962.00 932.00 982.00 942.00 942.00 922.00 942.00 952.00 932.00 932.00 94
UnsupCasMVSNet_eth5.90 925.90 925.90 985.90 1035.90 1055.90 1035.90 1085.90 1045.90 1035.90 1015.90 1045.90 1045.90 1025.90 1045.90 104
UnsupCasMVSNet_bld5.90 925.90 925.90 985.90 1035.90 1055.90 1035.90 1085.90 1045.90 1035.90 1015.90 1045.90 1045.90 1025.90 1045.90 104
WTY-MVS5.90 925.90 925.90 985.90 1035.90 1055.90 1035.90 1085.90 1045.90 1035.90 1015.90 1045.90 1045.90 1025.90 1045.90 104
HY-MVS5.90 15.90 925.90 925.90 985.90 1035.90 1055.90 1035.90 1085.90 1045.90 1035.90 1015.90 1045.90 1045.90 1025.90 1045.90 104
sss5.90 925.90 925.90 985.90 1035.90 1055.90 1035.90 1085.90 1045.90 1035.90 1015.90 1045.90 1045.90 1025.90 1045.90 104
Test_1112_low_res5.90 925.90 925.90 985.90 1035.90 1055.90 1035.90 1085.90 1045.90 1035.90 1015.90 1045.90 1045.90 1025.90 1045.90 104
1112_ss5.90 925.90 925.90 985.90 1035.90 1055.90 1035.90 1085.90 1045.90 1035.90 1015.90 1045.90 1045.90 1025.90 1045.90 104
ab-mvs-re5.90 925.90 925.90 985.90 1035.90 1055.90 1035.90 1085.90 1045.90 1035.90 1015.90 1045.90 1045.90 1025.90 1045.90 104
ab-mvs5.90 925.90 925.90 985.90 1035.90 1055.90 1035.90 1085.90 1045.90 1035.90 1015.90 1045.90 1045.90 1025.90 1045.90 104
CDPH-MVS6.66 1016.66 1016.66 1076.66 1126.66 1146.66 1126.66 1176.66 1136.66 1126.66 1106.66 1136.66 1136.66 1116.66 1136.66 113
xiu_mvs_v1_base_debu10.28 10210.28 10310.28 10910.28 11410.28 11810.28 11510.28 12010.28 11610.28 11610.28 11210.28 11610.28 11610.28 11410.28 11510.28 115
xiu_mvs_v2_base10.28 10210.28 10310.28 10910.28 11410.28 11810.28 11510.28 12010.28 11610.28 11610.28 11210.28 11610.28 11610.28 11410.28 11510.28 115
xiu_mvs_v1_base10.28 10210.28 10310.28 10910.28 11410.28 11810.28 11510.28 12010.28 11610.28 11610.28 11210.28 11610.28 11610.28 11410.28 11510.28 115
xiu_mvs_v1_base_debi10.28 10210.28 10310.28 10910.28 11410.28 11810.28 11510.28 12010.28 11610.28 11610.28 11210.28 11610.28 11610.28 11410.28 11510.28 115
cdsmvs_eth3d_5k10.28 10210.28 10310.28 10910.28 11410.28 11810.28 11510.28 12010.28 11610.28 11610.28 11210.28 11610.28 11610.28 11410.28 11510.28 115
pcd_1.5k_mvsjas10.28 10210.28 10310.28 10910.28 11410.28 11810.28 11510.28 12010.28 11610.28 11610.28 11210.28 11610.28 11610.28 11410.28 11510.28 115
pcd1.5k->3k10.28 10210.28 10310.28 10910.28 11410.28 11810.28 11510.28 12010.28 11610.28 11610.28 11210.28 11610.28 11610.28 11410.28 11510.28 115
PS-MVSNAJss10.28 10210.28 10310.28 10910.28 11410.28 11810.28 11510.28 12010.28 11610.28 11610.28 11210.28 11610.28 11610.28 11410.28 11510.28 115
PS-MVSNAJ10.28 10210.28 10310.28 10910.28 11410.28 11810.28 11510.28 12010.28 11610.28 11610.28 11210.28 11610.28 11610.28 11410.28 11510.28 115
jajsoiax10.28 10210.28 10310.28 10910.28 11410.28 11810.28 11510.28 12010.28 11610.28 11610.28 11210.28 11610.28 11610.28 11410.28 11510.28 115
mvs_tets10.28 10210.28 10310.28 10910.28 11410.28 11810.28 11510.28 12010.28 11610.28 11610.28 11210.28 11610.28 11610.28 11410.28 11510.28 115
XXY-MVS15.00 11315.00 11415.00 12015.00 12615.00 12915.00 12615.00 13415.00 12715.00 12715.00 12315.00 13215.00 12715.00 12615.00 12715.00 127
BH-w/o40.00 11440.00 11540.00 12240.00 12740.00 13040.00 12740.00 15140.00 12840.00 12940.00 12440.00 15040.00 12940.00 12740.00 14340.00 139
BH-untuned40.00 11440.00 11540.00 12240.00 12740.00 13040.00 12740.00 15140.00 12840.00 12940.00 12440.00 15040.00 12940.00 12740.00 14340.00 139
BH-RMVSNet40.00 11440.00 11540.00 12240.00 12740.00 13040.00 12740.00 15140.00 12840.00 12940.00 12440.00 15040.00 12940.00 12740.00 14340.00 139
TR-MVS40.00 11440.00 11540.00 12240.00 12740.00 13040.00 12740.00 15140.00 12840.00 12940.00 12440.00 15040.00 12940.00 12740.00 14340.00 139
GBi-Net44.67 11849.24 11930.96 12147.53 13147.57 134126.09 1318.00 11876.99 13226.09 12873.50 12911.27 12730.55 12861.12 13112.58 12614.75 126
dp87.20 119113.80 1227.42 10810.50 1258.88 115298.82 1392.70 107510.35 1557.79 113172.93 1323.37 1039.16 11414.00 1253.71 1034.23 103
new_pmnet88.14 12098.62 12056.70 12698.14 14056.07 135246.79 13315.37 135148.06 13350.77 133143.13 13023.35 13362.65 13393.26 13268.71 15051.38 150
N_pmnet88.14 12098.62 12056.70 12698.14 14056.07 135246.79 13315.37 135148.06 13350.77 133143.13 13023.35 13362.65 13393.26 13268.71 15051.38 150
CANet110.62 122124.04 12370.34 13082.03 13674.27 141325.54 14025.25 137207.16 13569.28 139194.38 13327.53 13595.79 142147.76 13637.43 13240.97 143
CANet_DTU110.62 122124.04 12370.34 13082.03 13674.27 141325.54 14025.25 137207.16 13569.28 139194.38 13327.53 13595.79 142147.76 13637.43 13240.97 143
MVS_0304110.62 122124.04 12370.34 13082.03 13674.27 141325.54 14025.25 137207.16 13569.28 139194.38 13327.53 13595.79 142147.76 13637.43 13240.97 143
UGNet110.62 122124.04 12370.34 13082.03 13674.27 141325.54 14025.25 137207.16 13569.28 139194.38 13327.53 13595.79 142147.76 13637.43 13240.97 143
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_Plus118.81 126133.18 12775.70 13474.28 13473.29 139284.50 13511.35 131238.58 14165.86 137255.35 15014.55 130115.69 152222.18 15231.94 13038.12 137
FMVSNet5124.76 127140.93 12876.26 136107.44 143100.17 149329.88 14427.12 144259.44 14674.30 143204.34 13730.74 13992.41 135196.98 14038.15 13636.19 130
test1124.76 127140.93 12876.26 136107.44 143100.17 149329.88 14427.12 144259.44 14674.30 143204.34 13730.74 13992.41 135196.98 14038.15 13636.19 130
FMVSNet3124.76 127140.93 12876.26 136107.44 143100.17 149329.88 14427.12 144259.44 14674.30 143204.34 13730.74 13992.41 135196.98 14038.15 13636.19 130
FMVSNet2124.76 127140.93 12876.26 136107.44 143100.17 149329.88 14427.12 144259.44 14674.30 143204.34 13730.74 13992.41 135196.98 14038.15 13636.19 130
FMVSNet1124.76 127140.93 12876.26 136107.44 143100.17 149329.88 14427.12 144259.44 14674.30 143204.34 13730.74 13992.41 135196.98 14038.15 13636.19 130
MIMVSNet1124.76 127140.93 12876.26 136107.44 143100.17 149329.88 14427.12 144259.44 14674.30 143204.34 13730.74 13992.41 135196.98 14038.15 13636.19 130
MIMVSNet124.76 127140.93 12876.26 136107.44 143100.17 149329.88 14427.12 144259.44 14674.30 143204.34 13730.74 13992.41 135196.98 14038.15 13636.19 130
DSMNet-mixed131.33 134143.00 13596.33 14699.00 14281.00 145201.00 13245.00 155335.00 15399.00 153251.00 14938.00 149110.00 151120.00 13599.00 15298.00 152
PVSNet_Blended_VisFu136.90 135155.40 13681.40 143111.00 15096.20 146407.00 15125.90 141251.60 14385.10 150240.50 14637.00 14699.90 146199.80 14740.70 14748.10 147
PVSNet_BlendedMVS136.90 135155.40 13681.40 143111.00 15096.20 146407.00 15125.90 141251.60 14385.10 150240.50 14637.00 14699.90 146199.80 14740.70 14748.10 147
PVSNet_Blended136.90 135155.40 13681.40 143111.00 15096.20 146407.00 15125.90 141251.60 14385.10 150240.50 14637.00 14699.90 146199.80 14740.70 14748.10 147
DP-MVS264.78 138296.02 139171.04 147191.70 153183.96 156827.10 16078.36 157438.24 154176.64 154435.12 15265.04 155230.52 156334.02 153117.96 15398.64 153
tmp_tt371.08 139412.78 140246.00 149231.00 154197.00 1571293.00 172376.00 204756.00 162609.00 18971.00 128106.00 164195.00 154102.00 134171.00 163346.00 186
RPSCF394.81 140445.63 141242.35 148276.55 156253.63 1581207.27 17090.69 162715.56 160241.57 156684.87 158111.96 165320.02 157548.38 161133.81 155153.39 155
EG-PatchMatch MVS437.03 141493.12 144268.77 150264.80 155260.20 1591491.80 17598.00 166723.20 161238.80 155722.40 15963.10 154382.00 160629.00 163207.00 170164.10 159
ADS-MVSNet2443.33 142482.84 142324.79 158434.94 168387.73 1671110.57 16887.69 160887.02 166282.92 157779.29 16098.57 162422.76 165502.40 154162.19 161163.87 157
ADS-MVSNet443.33 142482.84 142324.79 158434.94 168387.73 1671110.57 16887.69 160887.02 166282.92 157779.29 16098.57 162422.76 165502.40 154162.19 161163.87 157
MVP-Stereo473.58 144533.67 145293.33 151376.00 160318.00 1601461.00 17396.00 163835.00 164290.00 160804.00 16497.00 160383.00 162688.00 170156.00 156179.00 161
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 144533.67 145293.33 151376.00 160318.00 1601461.00 17396.00 163835.00 164290.00 160804.00 16497.00 160383.00 162688.00 170156.00 156179.00 161
PatchmatchNetpermissive492.52 146551.22 147316.40 155400.20 164357.90 1651277.10 171115.80 1711034.60 175315.90 162874.00 167155.10 171402.20 164629.50 164158.80 158189.10 163
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
LP495.57 147552.82 148323.82 157377.78 162343.94 1631099.61 16767.44 1561450.39 185417.42 168790.39 162130.18 168472.61 168519.53 160122.60 154154.91 156
tpmvs501.65 148567.42 149304.33 154395.39 163356.32 1641512.04 176216.53 196994.15 169350.16 165804.16 166119.38 166380.98 159555.14 162159.87 159175.69 160
DELS-MVS514.57 149587.73 151295.12 153343.03 157328.09 1621540.48 177116.22 172988.59 168325.44 163906.22 168119.86 167365.72 158788.60 172161.09 160191.55 164
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
DP-MVS Recon516.25 150581.17 150321.48 156361.02 158429.00 1711995.36 18178.48 158796.20 163283.32 159796.02 16396.78 159382.98 161636.72 165186.66 167152.46 154
gg-mvs-nofinetune594.69 151605.37 152562.67 177617.29 182500.33 175772.30 156413.12 211579.21 156552.71 183567.40 153662.54 226531.67 170503.93 156779.80 208656.02 199
CR-MVSNet612.36 152617.81 153596.01 180611.29 178600.33 187790.30 157513.12 221579.21 156552.71 183567.40 153662.54 226531.67 170503.93 156779.80 208656.02 199
IterMVS615.05 153691.66 154385.23 162516.40 171454.80 1721863.80 179102.10 1681142.20 177364.10 1661093.20 181135.00 169480.40 169826.90 173181.20 164220.50 166
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 154700.96 155362.78 160426.10 167409.25 1691822.69 178124.42 1791186.23 178366.85 1671079.42 179190.60 183451.78 167930.72 177181.59 165227.30 167
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+729.97 2661.38 155754.00 156383.51 161368.96 159376.38 1662483.74 19282.42 1591089.25 176333.39 1641219.68 18266.53 156573.60 181957.86 178184.14 166200.56 165
Gipumacopyleft689.75 156767.00 157458.00 169613.00 181549.00 1851943.00 180187.00 1931230.00 179518.00 1801092.00 180203.00 189564.00 175892.00 176225.00 178261.00 173
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
IterMVS-LS758.94 157856.56 160466.10 170606.60 176546.80 1832309.90 183122.20 1781402.80 183463.50 1721348.20 184192.60 184574.60 1821028.60 187234.60 180276.90 175
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
new-patchmatchnet766.12 158859.03 161487.38 173595.68 173536.14 1772346.27 184142.51 1841488.08 186422.43 1691361.32 186163.65 174628.60 1841003.74 186207.61 171297.41 179
SixPastTwentyTwo773.62 159869.37 163486.35 172603.45 175547.15 1842532.14 193106.92 1701434.95 184428.08 1701360.56 185165.15 175628.96 185984.09 179209.01 172282.94 176
mvs_anonymous774.90 160882.28 164452.77 164636.50 183537.20 1782348.80 185120.30 1731504.30 187474.40 1731371.10 187186.90 177564.70 1761078.90 189219.30 173256.40 168
casdiffmvs774.90 160882.28 164452.77 164636.50 183537.20 1782348.80 185120.30 1731504.30 187474.40 1731371.10 187186.90 177564.70 1761078.90 189219.30 173256.40 168
diffmvs774.90 160882.28 164452.77 164636.50 183537.20 1782348.80 185120.30 1731504.30 187474.40 1731371.10 187186.90 177564.70 1761078.90 189219.30 173256.40 168
casdiffmvs1774.90 160882.28 164452.77 164636.50 183537.20 1782348.80 185120.30 1731504.30 187474.40 1731371.10 187186.90 177564.70 1761078.90 189219.30 173256.40 168
diffmvs1774.90 160882.28 164452.77 164636.50 183537.20 1782348.80 185120.30 1731504.30 187474.40 1731371.10 187186.90 177564.70 1761078.90 189219.30 173256.40 168
JIA-IIPM804.30 165835.64 158710.26 189885.90 196895.90 205455.98 154668.73 2281297.17 1801002.26 2091001.67 177655.98 224756.98 189667.90 167885.21 220477.90 195
RPMNet804.30 165835.64 158710.26 189885.90 196895.90 205455.98 154668.73 2281297.17 1801002.26 2091001.67 177655.98 224756.98 189667.90 167885.21 220477.90 195
CSCG826.03 167963.29 170414.24 163421.52 166426.11 1702230.35 182179.52 1921827.44 197733.43 198933.12 170281.25 196545.23 1741800.35 204262.64 182271.38 174
PVSNet1207.94 6829.56 168937.18 169506.69 174645.55 188585.72 1862477.98 191130.52 1801578.29 193509.50 1791460.01 192194.90 185637.19 1861170.78 195267.07 184297.17 178
PatchT856.34 169860.99 162842.38 1951290.90 210880.90 203790.30 1571267.30 247579.21 156923.90 200567.40 153662.54 226990.23 198887.56 175779.80 208656.02 199
K. test v3877.74 170980.16 171570.46 1791316.85 212813.15 2002565.52 194103.78 1691509.49 192548.33 1821258.90 183219.93 194587.82 1831102.37 194196.30 168310.42 181
MVSTER890.06 1711005.91 177542.52 175736.13 193653.90 1922616.56 195145.22 1861692.10 196555.69 1861554.72 194266.25 195660.02 1871219.66 196266.84 183313.64 182
PMVScopyleft863.65 3957.08 1721054.11 178666.00 186401.00 165495.00 1743790.00 200279.00 1981607.00 195521.00 1811745.00 19690.00 1571105.00 208639.00 166415.00 195398.00 193
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ACMH993.80 5967.92 1731106.11 180553.33 176494.00 170534.00 1763581.00 198136.00 1811585.00 194478.00 1781871.00 19790.00 157839.00 1921460.00 198260.00 181287.00 177
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet_01661.03 9968.54 1741066.82 179673.70 187706.94 191695.69 1932669.02 196153.52 1882108.17 202605.54 1881679.14 195213.26 193886.75 1951236.76 197229.01 179438.67 194
OurMVSNet-221017-0999.00 175999.00 172999.00 196999.00 201999.00 207999.00 161999.00 241999.00 170999.00 203999.00 171999.00 236999.00 200999.00 180999.00 226999.00 225
EPMVS999.00 175999.00 172999.00 196999.00 201999.00 207999.00 161999.00 241999.00 170999.00 203999.00 171999.00 236999.00 200999.00 180999.00 226999.00 225
sosnet1000.00 1771000.00 1741000.00 1991000.00 2041000.00 2101000.00 1641000.00 2441000.00 1721000.00 2061000.00 1741000.00 2391000.00 2031000.00 1831000.00 2291000.00 228
USDC1000.00 1771000.00 1741000.00 1991000.00 2041000.00 2101000.00 1641000.00 2441000.00 1721000.00 2061000.00 1741000.00 2391000.00 2031000.00 1831000.00 2291000.00 228
TinyColmap1000.00 1771000.00 1741000.00 1991000.00 2041000.00 2101000.00 1641000.00 2441000.00 1721000.00 2061000.00 1741000.00 2391000.00 2031000.00 1831000.00 2291000.00 228
ACMP1246.57 71086.24 1801235.17 182639.45 182596.53 174639.91 1903904.24 201152.04 1871851.54 198566.58 1871997.95 199138.50 170938.30 1961605.46 200303.70 190340.14 184
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Patchmtry1090.75 1811198.88 181766.38 1941290.90 210485.90 1732423.98 1901267.30 2471297.17 180923.90 200923.40 1691215.54 243990.23 198667.90 167779.80 208823.02 209
test_04021110.00 1821260.00 183660.00 184900.00 199780.00 1993300.00 197210.00 1952040.00 201690.00 1931950.00 198300.00 199810.00 1911620.00 201330.00 191390.00 192
MVS_111021_LR1136.45 1831298.72 184649.64 183756.17 194726.26 1963785.94 199138.15 1832190.64 203629.63 1912064.39 200165.45 176874.83 1941678.43 203279.70 185347.82 187
ACMM1311.08 81165.06 1841332.72 185662.07 185584.90 172715.99 1954373.59 205153.99 1891880.27 199709.02 1952316.97 201188.63 182939.89 1971484.30 199302.78 189330.34 183
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++1242.93 1851411.08 186738.48 192712.71 192712.68 1944168.17 203136.50 1822276.40 204613.28 1902368.60 204161.61 1731130.38 2091964.54 207297.88 187372.39 189
MG-MVS1256.50 1861432.00 187730.00 191610.00 177760.00 1974720.00 206169.00 1901920.00 200723.00 1972510.00 207201.00 1871050.00 2061645.00 202390.00 194380.00 190
ACMMPR1296.60 1871480.82 188743.96 193899.25 198763.47 1984305.47 204143.90 1852530.94 207683.99 1922346.34 203201.65 1881098.25 2071920.59 206295.21 186370.16 188
TSAR-MVS + GP.1386.84 1881622.84 190678.81 188952.13 200840.17 2025358.21 209170.75 1912650.47 208713.54 1962394.28 205209.42 192855.56 1931854.36 205302.42 188340.71 185
FPMVS1407.00 1891495.59 1891141.23 203648.01 189893.85 2044124.00 202503.81 2203219.04 210742.72 1992498.84 206157.98 1721727.83 214832.93 174732.98 207802.00 206
DeepC-MVS_fast2190.19 121535.59 1901886.82 192481.89 171847.73 195830.16 2017943.84 225189.23 1942398.83 205691.73 1942341.13 202209.16 191230.25 1551999.25 208360.46 192385.25 191
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
COLMAP_ROBcopyleft2144.59 111658.33 1911869.33 1911025.33 2021030.00 2071023.00 2135311.00 208359.00 2023044.00 209937.00 2022892.00 208332.00 2011440.00 2112312.00 209607.00 197613.00 198
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 1922113.11 1931173.33 2061231.00 2081174.00 2146297.00 211392.00 2063356.00 2121087.00 2113082.00 209361.00 2051670.00 2132523.00 211689.00 200676.00 203
OpenMVS_ROBcopyleft1936.51 101959.51 1932224.88 1951163.39 2051253.91 2091434.22 2177065.71 215272.76 1972472.29 2061647.54 2353538.72 212200.37 1861496.48 2122575.17 212997.45 225559.48 197
CMPMVSbinary2623.62 151983.08 1942156.14 1941463.89 2151414.80 2141517.00 2195239.20 207867.40 2343310.30 2111128.70 2133489.90 211366.75 2062030.20 2232427.60 2101160.60 233844.46 212
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MVS-HIRNet2125.39 1952452.68 1961143.53 2042938.33 2411446.92 2186083.19 210391.74 2053801.71 2141202.10 2153439.72 210492.73 2111304.35 2103048.25 215676.32 199679.32 204
PLCcopyleft2858.82 162192.92 1962474.00 1971349.67 2081407.00 2131356.00 2167164.00 216475.00 2183970.00 2151237.00 2173765.00 215451.00 2081891.00 2193006.00 214791.00 213802.00 206
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVScopyleft2352.88 132263.08 1972530.89 1981459.67 2141767.00 2211591.00 2227932.00 224399.00 2073643.00 2131176.00 2143569.00 213297.00 1981927.00 2213302.00 216693.00 202861.00 213
PCF-MVS4335.85 202272.23 1982597.03 1991297.84 2071701.20 2161332.37 2158105.11 226451.45 2144031.84 2161099.10 2123966.50 216467.45 2091734.05 2152701.68 213848.94 217827.11 210
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x4202340.81 1992643.03 2001434.14 2092025.55 2311629.36 2246542.40 212412.49 2084219.70 2171547.02 2264328.52 218650.74 2211798.26 2163333.17 217727.72 204874.79 214
CHOSEN 1792x26882340.81 1992643.03 2001434.14 2092025.55 2311629.36 2246542.40 212412.49 2084219.70 2171547.02 2264328.52 218650.74 2211798.26 2163333.17 217727.72 204874.79 214
HyFIR lowres test2340.81 1992643.03 2001434.14 2092025.55 2311629.36 2246542.40 212412.49 2084219.70 2171547.02 2264328.52 218650.74 2211798.26 2163333.17 217727.72 204874.79 214
3Dnovator2482.06 142531.17 2022839.56 2031606.00 2161732.00 2181557.00 2218375.00 228483.00 2194370.00 2201371.00 2214200.00 217350.00 2032207.00 2243877.00 223798.00 2141054.00 231
tpmrst2557.50 2032847.12 2041688.66 2191784.08 2221778.25 2357445.50 222342.14 2014471.54 2211534.55 2254382.10 221530.10 2152361.21 2274142.81 225991.22 224926.51 219
AdaColmapbinary2570.77 2042948.61 2051437.24 2121873.64 2231526.60 2207819.77 223373.97 2034970.45 2241479.29 2234648.46 223525.80 2141904.97 2204150.42 226695.69 203880.14 217
SD-MVS2654.53 2053055.56 2081451.45 2131725.60 2171598.35 2239203.30 232315.86 2005016.02 2261363.85 2204894.28 225387.23 2072023.43 2223973.88 224620.04 198732.56 205
DeepPCF-MVS3452.42 182670.71 2063021.57 2061618.12 2172377.67 2361751.39 2348915.70 231567.44 2254569.74 2221236.84 2164615.63 222513.23 2122291.32 2253515.48 220882.39 219811.66 208
LF4IMVS2699.50 2073049.67 2071649.00 2181755.00 2191689.00 2288330.00 227464.00 2164997.00 2251528.00 2244763.00 224568.00 2172296.00 2264215.00 227827.00 216962.00 222
Vis-MVSNetpermissive2877.42 2083170.00 2091999.67 2261673.00 2152042.00 2408593.00 229474.00 2176452.00 2371268.00 2185125.00 226339.00 2023004.00 2364222.00 228384.00 193953.00 221
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2891.50 2093284.78 2101711.67 2201954.00 2241655.00 22710117.00 237445.00 2135102.00 2271375.00 2225126.00 227351.00 2042638.00 2334402.00 229691.00 201842.00 211
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 2103537.00 2111975.67 2242310.00 2342005.00 23910100.00 236626.00 2275753.00 2281803.00 2385179.00 228487.00 2102622.00 2314550.00 2301025.00 2321300.00 234
DeepC-MVS3917.13 193155.06 2113601.83 2121814.72 2222515.52 2381941.53 23710432.50 238589.42 2264789.45 2231298.65 2197677.31 236578.35 2182589.53 2283611.78 222923.52 222913.10 218
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
OPM-MVS3268.00 2123762.89 2131783.33 2211756.00 2201806.00 23612319.00 240307.00 1996319.00 2361557.00 2295763.00 229302.00 2002609.00 2305061.00 233482.00 196935.00 220
TAPA-MVS6309.84 213374.90 2133806.99 2142078.63 2282535.47 2392499.25 2438816.16 230456.05 2156255.60 2351664.52 2366704.88 233629.95 2192768.38 2346343.93 237856.35 218968.25 223
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 2144065.89 2201914.35 2232349.10 2352141.30 24112362.70 241417.60 2126717.80 2411759.40 2376497.50 231518.18 2132629.38 2325164.32 234806.40 215972.38 224
tpm23617.85 2154007.23 2152449.73 2292012.71 2261698.05 2297351.19 217869.29 2356132.06 2301588.28 2308007.42 2371281.09 2443888.11 2417472.04 2401351.00 2351763.02 240
tpm cat13617.85 2154007.23 2152449.73 2292012.71 2261698.05 2297351.19 217869.29 2356132.06 2301588.28 2308007.42 2371281.09 2443888.11 2417472.04 2401351.00 2351763.02 240
tpmp4_e233617.85 2154007.23 2152449.73 2292012.71 2261698.05 2297351.19 217869.29 2356132.06 2301588.28 2308007.42 2371281.09 2443888.11 2417472.04 2401351.00 2351763.02 240
CostFormer3617.85 2154007.23 2152449.73 2292012.71 2261698.05 2297351.19 217869.29 2356132.06 2301588.28 2308007.42 2371281.09 2443888.11 2417472.04 2401351.00 2351763.02 240
tpm3617.85 2154007.23 2152449.73 2292012.71 2261698.05 2297351.19 217869.29 2356132.06 2301588.28 2308007.42 2371281.09 2443888.11 2417472.04 2401351.00 2351763.02 240
MVS_111021_HR3742.80 2204330.34 2211980.20 2252484.31 2372259.52 24214973.80 244515.90 2246500.13 2381949.21 2406146.89 230535.66 2162593.66 2294880.76 232986.37 2231087.43 232
MAR-MVS3973.16 2214387.92 2222728.86 2353345.27 2423341.39 24711403.90 239798.76 2326555.62 2402569.29 2426514.86 232834.97 2333237.43 2385891.08 2351577.54 2411607.76 235
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
HSP-MVS4296.20 2224911.12 2242451.45 2342725.60 2402598.35 24416203.30 245515.86 2237016.02 2422363.85 2416894.28 234887.23 2343023.43 2375973.88 2361620.04 2421732.56 239
API-MVS4380.83 2234906.56 2232803.67 2363844.00 2433116.00 24613454.00 242901.00 2406511.00 2392794.00 2437365.00 235754.00 2303634.00 2396622.00 2381914.00 2441661.00 238
OMC-MVS5022.26 2245748.82 2252842.58 2374905.27 2453101.27 24514933.60 243812.24 2339278.40 2432959.29 2448800.17 2421092.24 2423806.30 2407568.54 2451389.60 2401620.18 237
CLD-MVS7338.25 2258341.00 2264330.00 2384902.00 2444991.00 24823318.00 247728.00 23114437.00 2494378.00 24613379.00 246824.00 2325708.00 24611429.00 2501674.00 2432291.00 245
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 2268776.23 2274410.16 2395298.55 2465631.53 24934329.90 2491504.57 24911554.00 2483896.41 24515111.00 247812.19 2315985.63 2473516.20 2212963.23 2451613.31 236
UA-Net10000.00 22710000.00 22810000.00 24110000.00 24910000.00 25210000.00 23310000.00 25410000.00 24410000.00 24910000.00 24310000.00 25110000.00 24810000.00 24610000.00 24810000.00 248
uncertanet10000.00 22710000.00 22810000.00 24110000.00 24910000.00 25210000.00 23310000.00 25410000.00 24410000.00 24910000.00 24310000.00 25110000.00 24810000.00 24610000.00 24810000.00 248
uanet10000.00 22710000.00 22810000.00 24110000.00 24910000.00 25210000.00 23310000.00 25410000.00 24410000.00 24910000.00 24310000.00 25110000.00 24810000.00 24610000.00 24810000.00 248
MVEpermissive10021.00 2210550.67 23010002.44 23112195.33 2446242.00 2478768.00 25130896.00 2484451.00 25110331.00 2476247.00 24718296.00 248283.00 19721484.00 2527364.00 2395912.00 2476334.00 247
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 23111772.44 2327637.33 2409120.00 2488206.00 25022252.00 2462010.00 25024984.00 2507458.00 24822596.00 2492940.00 24910260.00 25111100.00 2493492.00 2464446.00 246
LTVRE_ROB20565.47 2323378.08 23222805.00 23325097.33 24515500.00 25219201.00 25542712.00 2506055.00 25238388.00 25116926.00 25238534.00 2507071.00 25035653.00 25329475.00 25110584.00 25120438.00 252
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
MSDG32606.17 23334443.44 23427094.33 24629249.00 25325246.00 25651144.00 2516705.00 25342886.00 25222888.00 25348534.00 25113263.00 25437507.00 25479298.00 25216024.00 25218530.00 251
114514_t99999.00 23499999.00 23599999.00 24799999.00 25499999.00 25799999.00 25299999.00 25799999.00 25399999.00 25499999.00 25299999.00 25599999.00 25599999.00 25399999.00 25399999.00 253
PHI-MVS99999.00 23499999.00 23599999.00 24799999.00 25499999.00 25799999.00 25299999.00 25799999.00 25399999.00 25499999.00 25299999.00 25599999.00 25599999.00 25399999.00 25399999.00 253
MP-MVS-pluss833433.63 2361111219.60 24075.70 13474.28 13473.29 139284.50 13511.35 131238.58 14165.86 137255.35 15014.55 130115.69 15210000000.00 25831.94 13038.12 137
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
zzz-MVS833442.10 2371111233.77 24167.09 12865.59 13264.81 137284.50 13510000000.00 262219.97 13959.62 135229.89 14412.72 128103.00 149203.67 15027.93 12833.46 128
MTAPA833442.10 2371111233.77 24167.09 12865.59 13264.81 137284.50 13510000000.00 262219.97 13959.62 135229.89 14412.72 128103.00 149203.67 15027.93 12833.46 128
XVG-OURS-SEG-HR999999.00 239999999.00 237999999.00 249999999.00 256999999.00 259999999.00 254999999.00 259999999.00 255999999.00 256999999.00 254999999.00 257999999.00 257999999.00 255999999.00 255999999.00 255
XVG-OURS999999.00 239999999.00 237999999.00 249999999.00 256999999.00 259999999.00 254999999.00 259999999.00 255999999.00 256999999.00 254999999.00 257999999.00 257999999.00 255999999.00 255999999.00 255
XVG-ACMP-BASELINE999999.00 239999999.00 237999999.00 249999999.00 256999999.00 259999999.00 254999999.00 259999999.00 255999999.00 256999999.00 254999999.00 257999999.00 257999999.00 255999999.00 255999999.00 255
0601test10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
Anonymous2024052910000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
Anonymous20240521110000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
Anonymous2024052110000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
our_test_310000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
ppachtmachnet_test10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
SMA-MVS10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
tfpn11110000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
conf0.0110000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
ESAPD10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
conf0.00210000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
thresconf0.0210000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
tfpn_n40010000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
tfpnconf10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
tfpnview1110000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
tfpn100010000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
tfpn_ndepth10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
conf200view1110000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
thres100view90010000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
tfpnnormal10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
tfpn200view910000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
view60010000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
view80010000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
conf0.05thres100010000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
tfpn10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
v1.010000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
pmmvs610000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
pmmvs510000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
Anonymous2023121110000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
pmmvs-eth3d10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
Anonymous2023120610000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
Patchmatch-test110000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
Patchmatch-test10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
Patchmatch-RL test10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
canonicalmvs10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
anonymousdsp10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
FIs10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
FC-MVSNet-test10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
sosnet-low-res10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
AllTest10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
testing_210000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
test_normal10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
HPM-MVS++copyleft10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
XVS10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
pm-mvs110000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
X-MVStestdata10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
APDe-MVS10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
APD-MVS_3200maxsize10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
pmmvs410000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
test-LLR10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
TESTMET0.1,110000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
test-mter10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
testgi10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
test20.0310000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
thres600view710000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
111110000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
.test124510000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
MP-MVScopyleft10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
thres40010000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
test12310000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
thres20010000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
test0.0.03 110000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
test1235610000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
testus10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
pmmvs310000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
testmv10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
EMVS10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
E-PMN10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
test235610000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
test123567810000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
PGM-MVS10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
MCST-MVS10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
MVS_Test10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
PMMVS210000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
PM-MVS10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
HQP_MVS10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
mPP-MVS10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
DI_MVS_plusplus_test10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
DWT-MVSNet_test10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
Test410000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
HPM-MVS_fast10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
PatchFormer-LS_test10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
testpf10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
HPM-MVScopyleft10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
EPNet_dtu10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
NCCC10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
CP-MVS10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
no-one10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
CPTT-MVS10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
HQP-MVS10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
IS-MVSNet10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
PAPM_NR10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
PAPR10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
Vis-MVSNet (Re-imp)10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
PatchMatch-RL10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
TDRefinement10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
EPP-MVSNet10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
PMMVS10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
PAPM10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
ACMMPcopyleft10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
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
ANet_high10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
PNet_i23d10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
wuyk23d10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
wuykxyi23d10000000.00 24210000000.00 24310000000.00 25210000000.00 25910000000.00 26210000000.00 25710000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
APD-MVScopyleft1000000000.00 3501000000000.00 3511000000000.00 3641000000000.00 3771000000000.00 3801000000000.00 3711000000000.00 3801000000000.00 3731000000000.00 3751000000000.00 3731000000000.00 3791000000000.00 3771000000000.00 3741000000000.00 3741000000000.00 374
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
GSMVS10000000.00 258
test_part210000000.00 25910000000.00 26210000000.00 259
test_part110000000.00 25210000000.00 26210000000.00 25710000000.00 26210000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
sam_mvs110000000.00 26010000000.00 258
sam_mvs10000000.00 260
semantic-postprocess10000000.00 25210000000.00 25910000000.00 26210000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
ambc999.00 196999.00 201999.00 207999.00 161999.00 241999.00 203999.00 171999.00 236999.00 200999.00 180999.00 226999.00 225
MTGPAbinary10000000.00 262
test_post110000000.00 25710000000.00 25710000000.00 26010000000.00 26010000000.00 258
test_post10000000.00 25710000000.00 26010000000.00 260
patchmatchnet-post10000000.00 25710000000.00 26010000000.00 260
GG-mvs-BLEND596.01 180611.29 178600.33 187790.30 157513.12 221552.71 183567.40 153662.54 226531.67 170503.93 156779.80 208656.02 199
MTMP10000000.00 25710000000.00 262
gm-plane-assit611.29 178600.33 187579.21 156567.40 153531.67 170503.93 156
test9_res0.00 10.00 10.00 1
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
agg_prior0.00 10.00 10.00 10.00 10.00 1
TestCases10000000.00 25210000000.00 25910000000.00 26210000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
test_prior40.00 10.00 1
test_prior20.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_prior0.00 10.00 10.00 10.00 10.00 10.00 1
旧先验20.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
新几何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
旧先验10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
无先验0.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM20.00 1
原ACMM10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test2220.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
testdata0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata10.00 10.00 1
test120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
plane_prior710000000.00 25910000000.00 262
plane_prior610000000.00 25910000000.00 26210000000.00 260
plane_prior510000000.00 26210000000.00 26010000000.00 25810000000.00 25810000000.00 258
plane_prior410000000.00 257
plane_prior310000000.00 26210000000.00 25810000000.00 259
plane_prior210000000.00 25710000000.00 258
plane_prior110000000.00 259
plane_prior1.00 642.00 932.00 942.00 93
n214.20 133
nn1.42 69
door-mid1.42 69
lessismore_v0569.20 178667.25 190644.68 19196.45 165428.86 1711514.17 193204.21 190756.58 1881061.60 188197.79 169306.34 180
LGP-MVS_train10000000.00 25210000000.00 25910000000.00 26210000000.00 26210000000.00 25810000000.00 25910000000.00 25710000000.00 26010000000.00 26010000000.00 25810000000.00 25810000000.00 258
test111.00 64
door99.00 167
HQP5-MVS10000000.00 262
HQP-NCC10000000.00 25910000000.00 25710000000.00 25810000000.00 259
ACMP_Plane10000000.00 25910000000.00 25710000000.00 25810000000.00 259
BP-MVS10000000.00 258
HQP4-MVS10000000.00 25910000000.00 26010000000.00 258
HQP3-MVS10000000.00 26210000000.00 258
HQP2-MVS10000000.00 260
NP-MVS10000000.00 25910000000.00 26210000000.00 257
MDTV_nov1_ep13_2view9.99 1169.99 1139.99 1149.99 1149.99 1149.99 1129.99 114
MDTV_nov1_ep139.99 1029.99 1139.99 1169.99 1139.99 1199.99 1149.99 1149.99 1119.99 1149.99 1159.99 1129.99 114
ACMMP++_ref10000000.00 258
ACMMP++10000000.00 258
Test By Simon990.00 235
ITE_SJBPF2014.00 2271998.00 2251992.00 238701.00 2305989.00 2291812.00 2393612.00 214650.00 2202852.00 2354601.00 2311195.00 2341198.00 233
DeepMVS_CXcopyleft1.00 581.00 631.00 641.00 641.00 631.00 631.00 611.00 631.00 641.00 621.00 621.00 63