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
MVS_test0326110.62 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_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_0305110.62 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 201756.00 162609.00 18671.00 128106.00 164195.00 154102.00 134171.00 163346.00 183
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 193994.15 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 174617.29 182500.33 175772.30 156413.12 208579.21 156552.71 180567.40 153662.54 223531.67 170503.93 156779.80 205656.02 196
CR-MVSNet612.36 152617.81 153596.01 177611.29 178600.33 184790.30 157513.12 218579.21 156552.71 180567.40 153662.54 223531.67 170503.93 156779.80 205656.02 196
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 1761186.23 178366.85 1671079.42 179190.60 180451.78 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 18982.42 1591089.25 176333.39 1641219.68 18266.53 156573.60 178957.86 178184.14 166200.56 165
Gipumacopyleft689.75 156767.00 157458.00 166613.00 181549.00 1821943.00 180187.00 1901230.00 179518.00 1771092.00 180203.00 186564.00 175892.00 176225.00 175261.00 170
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
IterMVS-LS758.94 157856.56 160466.10 167606.60 176546.80 1802309.90 183122.20 1751402.80 183463.50 1721348.20 184192.60 181574.60 1791028.60 187234.60 177276.90 172
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
new-patchmatchnet766.12 158859.03 161487.38 170595.68 173536.14 1772346.27 184142.51 1811488.08 186422.43 1691361.32 186163.65 174628.60 1811003.74 186207.61 171297.41 176
SixPastTwentyTwo773.62 159869.37 163486.35 169603.45 175547.15 1812532.14 190106.92 1701434.95 184428.08 1701360.56 185165.15 175628.96 182984.09 179209.01 172282.94 173
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
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
JIA-IIPM804.30 162835.64 158710.26 186885.90 193895.90 202455.98 154668.73 2251297.17 1801002.26 2061001.67 177655.98 221756.98 186667.90 167885.21 217477.90 192
RPMNet804.30 162835.64 158710.26 186885.90 193895.90 202455.98 154668.73 2251297.17 1801002.26 2061001.67 177655.98 221756.98 186667.90 167885.21 217477.90 192
CSCG826.03 164963.29 167414.24 163421.52 166426.11 1702230.35 182179.52 1891827.44 194733.43 195933.12 170281.25 193545.23 1741800.35 201262.64 179271.38 171
PVSNet1207.94 6829.56 165937.18 166506.69 171645.55 185585.72 1832477.98 188130.52 1771578.29 190509.50 1761460.01 189194.90 182637.19 1831170.78 192267.07 181297.17 175
PatchT856.34 166860.99 162842.38 1921290.90 207880.90 200790.30 1571267.30 244579.21 156923.90 197567.40 153662.54 223990.23 195887.56 175779.80 205656.02 196
K. test v3877.74 167980.16 168570.46 1761316.85 209813.15 1972565.52 191103.78 1691509.49 189548.33 1791258.90 183219.93 191587.82 1801102.37 191196.30 168310.42 178
MVSTER890.06 1681005.91 174542.52 172736.13 190653.90 1892616.56 192145.22 1831692.10 193555.69 1831554.72 191266.25 192660.02 1841219.66 193266.84 180313.64 179
PMVScopyleft863.65 3957.08 1691054.11 175666.00 183401.00 165495.00 1743790.00 197279.00 1951607.00 192521.00 1781745.00 19390.00 1571105.00 205639.00 166415.00 192398.00 190
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ACMH993.80 5967.92 1701106.11 177553.33 173494.00 170534.00 1763581.00 195136.00 1781585.00 191478.00 1751871.00 19490.00 157839.00 1891460.00 195260.00 178287.00 174
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet_01661.03 9968.54 1711066.82 176673.70 184706.94 188695.69 1902669.02 193153.52 1852108.17 199605.54 1851679.14 192213.26 190886.75 1921236.76 194229.01 176438.67 191
OurMVSNet-221017-0999.00 172999.00 169999.00 193999.00 198999.00 204999.00 161999.00 238999.00 170999.00 200999.00 171999.00 233999.00 197999.00 180999.00 223999.00 222
EPMVS999.00 172999.00 169999.00 193999.00 198999.00 204999.00 161999.00 238999.00 170999.00 200999.00 171999.00 233999.00 197999.00 180999.00 223999.00 222
sosnet1000.00 1741000.00 1711000.00 1961000.00 2011000.00 2071000.00 1641000.00 2411000.00 1721000.00 2031000.00 1741000.00 2361000.00 2001000.00 1831000.00 2261000.00 225
USDC1000.00 1741000.00 1711000.00 1961000.00 2011000.00 2071000.00 1641000.00 2411000.00 1721000.00 2031000.00 1741000.00 2361000.00 2001000.00 1831000.00 2261000.00 225
TinyColmap1000.00 1741000.00 1711000.00 1961000.00 2011000.00 2071000.00 1641000.00 2411000.00 1721000.00 2031000.00 1741000.00 2361000.00 2001000.00 1831000.00 2261000.00 225
ACMP1246.57 71086.24 1771235.17 179639.45 179596.53 174639.91 1873904.24 198152.04 1841851.54 195566.58 1841997.95 196138.50 170938.30 1931605.46 197303.70 187340.14 181
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Patchmtry1090.75 1781198.88 178766.38 1911290.90 207485.90 1732423.98 1871267.30 2441297.17 180923.90 197923.40 1691215.54 240990.23 195667.90 167779.80 205823.02 206
test_04021110.00 1791260.00 180660.00 181900.00 196780.00 1963300.00 194210.00 1922040.00 198690.00 1901950.00 195300.00 196810.00 1881620.00 198330.00 188390.00 189
MVS_111021_LR1136.45 1801298.72 181649.64 180756.17 191726.26 1933785.94 196138.15 1802190.64 200629.63 1882064.39 197165.45 176874.83 1911678.43 200279.70 182347.82 184
ACMM1311.08 81165.06 1811332.72 182662.07 182584.90 172715.99 1924373.59 202153.99 1861880.27 196709.02 1922316.97 198188.63 179939.89 1941484.30 196302.78 186330.34 180
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++1242.93 1821411.08 183738.48 189712.71 189712.68 1914168.17 200136.50 1792276.40 201613.28 1872368.60 201161.61 1731130.38 2061964.54 204297.88 184372.39 186
MG-MVS1256.50 1831432.00 184730.00 188610.00 177760.00 1944720.00 203169.00 1871920.00 197723.00 1942510.00 204201.00 1841050.00 2031645.00 199390.00 191380.00 187
ACMMPR1296.60 1841480.82 185743.96 190899.25 195763.47 1954305.47 201143.90 1822530.94 204683.99 1892346.34 200201.65 1851098.25 2041920.59 203295.21 183370.16 185
TSAR-MVS + GP.1386.84 1851622.84 187678.81 185952.13 197840.17 1995358.21 206170.75 1882650.47 205713.54 1932394.28 202209.42 189855.56 1901854.36 202302.42 185340.71 182
FPMVS1407.00 1861495.59 1861141.23 200648.01 186893.85 2014124.00 199503.81 2173219.04 207742.72 1962498.84 203157.98 1721727.83 211832.93 174732.98 204802.00 203
DeepC-MVS_fast2190.19 121535.59 1871886.82 189481.89 168847.73 192830.16 1987943.84 222189.23 1912398.83 202691.73 1912341.13 199209.16 188230.25 1551999.25 205360.46 189385.25 188
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 1881869.33 1881025.33 1991030.00 2041023.00 2105311.00 205359.00 1993044.00 206937.00 1992892.00 205332.00 1981440.00 2082312.00 206607.00 194613.00 195
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 1892113.11 1901173.33 2031231.00 2051174.00 2116297.00 208392.00 2033356.00 2091087.00 2083082.00 206361.00 2021670.00 2102523.00 208689.00 197676.00 200
OpenMVS_ROBcopyleft1936.51 101959.51 1902224.88 1921163.39 2021253.91 2061434.22 2147065.71 212272.76 1942472.29 2031647.54 2323538.72 209200.37 1831496.48 2092575.17 209997.45 222559.48 194
CMPMVSbinary2623.62 151983.08 1912156.14 1911463.89 2121414.80 2111517.00 2165239.20 204867.40 2313310.30 2081128.70 2103489.90 208366.75 2032030.20 2202427.60 2071160.60 230844.46 209
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MVS-HIRNet2125.39 1922452.68 1931143.53 2012938.33 2381446.92 2156083.19 207391.74 2023801.71 2111202.10 2123439.72 207492.73 2081304.35 2073048.25 212676.32 196679.32 201
PLCcopyleft2858.82 162192.92 1932474.00 1941349.67 2051407.00 2101356.00 2137164.00 213475.00 2153970.00 2121237.00 2143765.00 212451.00 2051891.00 2163006.00 211791.00 210802.00 203
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVScopyleft2352.88 132263.08 1942530.89 1951459.67 2111767.00 2181591.00 2197932.00 221399.00 2043643.00 2101176.00 2113569.00 210297.00 1951927.00 2183302.00 213693.00 199861.00 210
PCF-MVS4335.85 202272.23 1952597.03 1961297.84 2041701.20 2131332.37 2128105.11 223451.45 2114031.84 2131099.10 2093966.50 213467.45 2061734.05 2122701.68 210848.94 214827.11 207
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x4202340.81 1962643.03 1971434.14 2062025.55 2281629.36 2216542.40 209412.49 2054219.70 2141547.02 2234328.52 215650.74 2181798.26 2133333.17 214727.72 201874.79 211
CHOSEN 1792x26882340.81 1962643.03 1971434.14 2062025.55 2281629.36 2216542.40 209412.49 2054219.70 2141547.02 2234328.52 215650.74 2181798.26 2133333.17 214727.72 201874.79 211
HyFIR lowres test2340.81 1962643.03 1971434.14 2062025.55 2281629.36 2216542.40 209412.49 2054219.70 2141547.02 2234328.52 215650.74 2181798.26 2133333.17 214727.72 201874.79 211
3Dnovator2482.06 142531.17 1992839.56 2001606.00 2131732.00 2151557.00 2188375.00 225483.00 2164370.00 2171371.00 2184200.00 214350.00 2002207.00 2213877.00 220798.00 2111054.00 228
tpmrst2557.50 2002847.12 2011688.66 2161784.08 2191778.25 2327445.50 219342.14 1984471.54 2181534.55 2224382.10 218530.10 2122361.21 2244142.81 222991.22 221926.51 216
AdaColmapbinary2570.77 2012948.61 2021437.24 2091873.64 2201526.60 2177819.77 220373.97 2004970.45 2211479.29 2204648.46 220525.80 2111904.97 2174150.42 223695.69 200880.14 214
SD-MVS2654.53 2023055.56 2051451.45 2101725.60 2141598.35 2209203.30 229315.86 1975016.02 2231363.85 2174894.28 222387.23 2042023.43 2193973.88 221620.04 195732.56 202
DeepPCF-MVS3452.42 182670.71 2033021.57 2031618.12 2142377.67 2331751.39 2318915.70 228567.44 2224569.74 2191236.84 2134615.63 219513.23 2092291.32 2223515.48 217882.39 216811.66 205
LF4IMVS2699.50 2043049.67 2041649.00 2151755.00 2161689.00 2258330.00 224464.00 2134997.00 2221528.00 2214763.00 221568.00 2142296.00 2234215.00 224827.00 213962.00 219
Vis-MVSNetpermissive2877.42 2053170.00 2061999.67 2231673.00 2122042.00 2378593.00 226474.00 2146452.00 2341268.00 2155125.00 223339.00 1993004.00 2334222.00 225384.00 190953.00 218
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2891.50 2063284.78 2071711.67 2171954.00 2211655.00 22410117.00 234445.00 2105102.00 2241375.00 2195126.00 224351.00 2012638.00 2304402.00 226691.00 198842.00 208
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 2073537.00 2081975.67 2212310.00 2312005.00 23610100.00 233626.00 2245753.00 2251803.00 2355179.00 225487.00 2072622.00 2284550.00 2271025.00 2291300.00 231
DeepC-MVS3917.13 193155.06 2083601.83 2091814.72 2192515.52 2351941.53 23410432.50 235589.42 2234789.45 2201298.65 2167677.31 233578.35 2152589.53 2253611.78 219923.52 219913.10 215
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 2093762.89 2101783.33 2181756.00 2171806.00 23312319.00 237307.00 1966319.00 2331557.00 2265763.00 226302.00 1972609.00 2275061.00 230482.00 193935.00 217
TAPA-MVS6309.84 213374.90 2103806.99 2112078.63 2252535.47 2362499.25 2408816.16 227456.05 2126255.60 2321664.52 2336704.88 230629.95 2162768.38 2316343.93 234856.35 215968.25 220
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 2114065.89 2171914.35 2202349.10 2322141.30 23812362.70 238417.60 2096717.80 2381759.40 2346497.50 228518.18 2102629.38 2295164.32 231806.40 212972.38 221
tpm23617.85 2124007.23 2122449.73 2262012.71 2231698.05 2267351.19 214869.29 2326132.06 2271588.28 2278007.42 2341281.09 2413888.11 2387472.04 2371351.00 2321763.02 237
tpm cat13617.85 2124007.23 2122449.73 2262012.71 2231698.05 2267351.19 214869.29 2326132.06 2271588.28 2278007.42 2341281.09 2413888.11 2387472.04 2371351.00 2321763.02 237
tpmp4_e233617.85 2124007.23 2122449.73 2262012.71 2231698.05 2267351.19 214869.29 2326132.06 2271588.28 2278007.42 2341281.09 2413888.11 2387472.04 2371351.00 2321763.02 237
CostFormer3617.85 2124007.23 2122449.73 2262012.71 2231698.05 2267351.19 214869.29 2326132.06 2271588.28 2278007.42 2341281.09 2413888.11 2387472.04 2371351.00 2321763.02 237
tpm3617.85 2124007.23 2122449.73 2262012.71 2231698.05 2267351.19 214869.29 2326132.06 2271588.28 2278007.42 2341281.09 2413888.11 2387472.04 2371351.00 2321763.02 237
MVS_111021_HR3742.80 2174330.34 2181980.20 2222484.31 2342259.52 23914973.80 241515.90 2216500.13 2351949.21 2376146.89 227535.66 2132593.66 2264880.76 229986.37 2201087.43 229
MAR-MVS3973.16 2184387.92 2192728.86 2323345.27 2393341.39 24411403.90 236798.76 2296555.62 2372569.29 2396514.86 229834.97 2303237.43 2355891.08 2321577.54 2381607.76 232
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 2194911.12 2212451.45 2312725.60 2372598.35 24116203.30 242515.86 2207016.02 2392363.85 2386894.28 231887.23 2313023.43 2345973.88 2331620.04 2391732.56 236
API-MVS4380.83 2204906.56 2202803.67 2333844.00 2403116.00 24313454.00 239901.00 2376511.00 2362794.00 2407365.00 232754.00 2273634.00 2366622.00 2351914.00 2411661.00 235
OMC-MVS5022.26 2215748.82 2222842.58 2344905.27 2423101.27 24214933.60 240812.24 2309278.40 2402959.29 2418800.17 2391092.24 2393806.30 2377568.54 2421389.60 2371620.18 234
CLD-MVS7338.25 2228341.00 2234330.00 2354902.00 2414991.00 24523318.00 244728.00 22814437.00 2464378.00 24313379.00 243824.00 2295708.00 24311429.00 2471674.00 2402291.00 242
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 2238776.23 2244410.16 2365298.55 2435631.53 24634329.90 2461504.57 24611554.00 2453896.41 24215111.00 244812.19 2285985.63 2443516.20 2182963.23 2421613.31 233
UA-Net10000.00 22410000.00 22510000.00 23810000.00 24610000.00 24910000.00 23010000.00 25110000.00 24110000.00 24610000.00 24010000.00 24810000.00 24510000.00 24310000.00 24510000.00 245
uncertanet10000.00 22410000.00 22510000.00 23810000.00 24610000.00 24910000.00 23010000.00 25110000.00 24110000.00 24610000.00 24010000.00 24810000.00 24510000.00 24310000.00 24510000.00 245
uanet10000.00 22410000.00 22510000.00 23810000.00 24610000.00 24910000.00 23010000.00 25110000.00 24110000.00 24610000.00 24010000.00 24810000.00 24510000.00 24310000.00 24510000.00 245
MVEpermissive10021.00 2210550.67 22710002.44 22812195.33 2416242.00 2448768.00 24830896.00 2454451.00 24810331.00 2446247.00 24418296.00 245283.00 19421484.00 2497364.00 2365912.00 2446334.00 244
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 22811772.44 2297637.33 2379120.00 2458206.00 24722252.00 2432010.00 24724984.00 2477458.00 24522596.00 2462940.00 24610260.00 24811100.00 2463492.00 2434446.00 243
LTVRE_ROB20565.47 2323378.08 22922805.00 23025097.33 24215500.00 24919201.00 25242712.00 2476055.00 24938388.00 24816926.00 24938534.00 2477071.00 24735653.00 25029475.00 24810584.00 24820438.00 249
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 23034443.44 23127094.33 24329249.00 25025246.00 25351144.00 2486705.00 25042886.00 24922888.00 25048534.00 24813263.00 25137507.00 25179298.00 24916024.00 24918530.00 248
114514_t99999.00 23199999.00 23299999.00 24499999.00 25199999.00 25499999.00 24999999.00 25499999.00 25099999.00 25199999.00 24999999.00 25299999.00 25299999.00 25099999.00 25099999.00 250
PHI-MVS99999.00 23199999.00 23299999.00 24499999.00 25199999.00 25499999.00 24999999.00 25499999.00 25099999.00 25199999.00 24999999.00 25299999.00 25299999.00 25099999.00 25099999.00 250
MP-MVS-pluss833433.63 2331111219.60 23775.70 13474.28 13473.29 139284.50 13511.35 131238.58 14165.86 137255.35 15014.55 130115.69 15210000000.00 25531.94 13038.12 137
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MPTG833442.10 2341111233.77 23867.09 12865.59 13264.81 137284.50 13510000000.00 259219.97 13959.62 135229.89 14412.72 128103.00 149203.67 15027.93 12833.46 128
MTAPA833442.10 2341111233.77 23867.09 12865.59 13264.81 137284.50 13510000000.00 259219.97 13959.62 135229.89 14412.72 128103.00 149203.67 15027.93 12833.46 128
XVG-OURS-SEG-HR999999.00 236999999.00 234999999.00 246999999.00 253999999.00 256999999.00 251999999.00 256999999.00 252999999.00 253999999.00 251999999.00 254999999.00 254999999.00 252999999.00 252999999.00 252
XVG-OURS999999.00 236999999.00 234999999.00 246999999.00 253999999.00 256999999.00 251999999.00 256999999.00 252999999.00 253999999.00 251999999.00 254999999.00 254999999.00 252999999.00 252999999.00 252
XVG-ACMP-BASELINE999999.00 236999999.00 234999999.00 246999999.00 253999999.00 256999999.00 251999999.00 256999999.00 252999999.00 253999999.00 251999999.00 254999999.00 254999999.00 252999999.00 252999999.00 252
pmmvs610000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
pmmvs510000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
Anonymous2023121110000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
pmmvs-eth3d10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
Anonymous2023120610000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
Patchmatch-test110000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
Patchmatch-test10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
Patchmatch-RL test10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
canonicalmvs10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
anonymousdsp10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
FIs10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
FC-MVSNet-test10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
sosnet-low-res10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
AllTest10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
testing_210000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
test_normal10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
HPM-MVS++10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
XVS10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
pm-mvs110000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
X-MVStestdata10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
APDe-MVS10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
APD-MVS_3200maxsize10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
pmmvs410000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
test-LLR10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
TESTMET0.1,110000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
test-mter10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
testgi10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
test20.0310000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
111110000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
.test124510000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
MP-MVScopyleft10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
testmvs10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
test12310000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
test0.0.03 110000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
test1235610000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
testus10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
pmmvs310000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
testmv10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
EMVS10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
E-PMN10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
test235610000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
test123567810000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
PGM-MVS10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
MCST-MVS10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
MVS_Test10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
PMMVS210000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
PM-MVS10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
HQP_MVS10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
mPP-MVS10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
DI_MVS_plusplus_test10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
DWT-MVSNet_test10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
Test410000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
HPM-MVS_fast10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
PatchFormer-LS_test10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
testpf10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
HPM-MVS10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
LPG-MVS_test10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
EPNet_dtu10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
NCCC10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
CP-MVS10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
no-one10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
CPTT-MVS10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
HQP-MVS10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
IS-MVSNet10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
PAPM_NR10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
PAPR10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
Vis-MVSNet (Re-imp)10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
PatchMatch-RL10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
TDRefinement10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
EPP-MVSNet10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
PMMVS10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
PAPM10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
ACMMPcopyleft10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
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 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
PNet_i23d10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
wuyk23d10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
wuykxyi23d10000000.00 23910000000.00 24010000000.00 24910000000.00 25610000000.00 25910000000.00 25410000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
APD-MVScopyleft1000000000.00 3181000000000.00 3191000000000.00 3311000000000.00 3441000000000.00 3461000000000.00 3371000000000.00 3471000000000.00 3411000000000.00 3421000000000.00 3411000000000.00 3461000000000.00 3441000000000.00 3411000000000.00 3411000000000.00 339
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
sam_mvs110000000.00 257
sam_mvs10000000.00 257
semantic-postprocess10000000.00 24910000000.00 25610000000.00 25910000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
ambc999.00 193999.00 198999.00 204999.00 161999.00 238999.00 200999.00 171999.00 233999.00 197999.00 180999.00 223999.00 222
MTGPAbinary10000000.00 259
test_post110000000.00 25410000000.00 25410000000.00 25710000000.00 25710000000.00 255
test_post10000000.00 25410000000.00 25710000000.00 257
patchmatchnet-post10000000.00 25410000000.00 25710000000.00 257
GG-mvs-BLEND596.01 177611.29 178600.33 184790.30 157513.12 218552.71 180567.40 153662.54 223531.67 170503.93 156779.80 205656.02 196
MTMP10000000.00 259
gm-plane-assit611.29 178600.33 184579.21 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 24910000000.00 25610000000.00 25910000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
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 25610000000.00 259
plane_prior610000000.00 25610000000.00 25910000000.00 257
plane_prior510000000.00 25910000000.00 25710000000.00 25510000000.00 25510000000.00 255
plane_prior410000000.00 254
plane_prior310000000.00 25910000000.00 25510000000.00 256
plane_prior210000000.00 25410000000.00 255
plane_prior110000000.00 256
plane_prior1.00 642.00 932.00 942.00 93
n214.20 133
nn1.42 69
door-mid1.42 69
lessismore_v0569.20 175667.25 187644.68 18896.45 165428.86 1711514.17 190204.21 187756.58 1851061.60 188197.79 169306.34 177
LGP-MVS_train10000000.00 24910000000.00 25610000000.00 25910000000.00 25910000000.00 25510000000.00 25610000000.00 25410000000.00 25710000000.00 25710000000.00 25510000000.00 25510000000.00 255
test111.00 64
door99.00 167
HQP5-MVS10000000.00 259
HQP-NCC10000000.00 25610000000.00 25410000000.00 25510000000.00 256
ACMP_Plane10000000.00 25610000000.00 25410000000.00 25510000000.00 256
BP-MVS10000000.00 255
HQP4-MVS10000000.00 25610000000.00 25710000000.00 255
HQP3-MVS10000000.00 25910000000.00 255
HQP2-MVS10000000.00 257
NP-MVS10000000.00 25610000000.00 25910000000.00 254
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++_ref10000000.00 255
ACMMP++10000000.00 255
Test By Simon990.00 232
ITE_SJBPF2014.00 2241998.00 2221992.00 235701.00 2275989.00 2261812.00 2363612.00 211650.00 2172852.00 2324601.00 2281195.00 2311198.00 230
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