High-resolution multi-view benchmark

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

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

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

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

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




Method Infoallhigh-res
multi-view		indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort by
fmvsm_s_conf0.5_n_90.00 10.00 10.00 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
fmvsm_s_conf0.5_n_80.00 10.00 10.00 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
fmvsm_s_conf0.5_n_70.00 10.00 10.00 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
fmvsm_s_conf0.5_n_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
fmvsm_s_conf0.5_n_50.00 10.00 10.00 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
fmvsm_s_conf0.5_n_40.00 10.00 10.00 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
fmvsm_l_conf0.5_n_30.00 10.00 10.00 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
fmvsm_s_conf0.5_n_30.00 10.00 10.00 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
fmvsm_s_conf0.5_n_20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n_20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_a0.00 10.00 10.00 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
fmvsm_l_conf0.5_n0.00 10.00 10.00 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
fmvsm_s_conf0.1_n_a0.00 10.00 10.00 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
fmvsm_s_conf0.1_n0.00 10.00 10.00 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
fmvsm_s_conf0.5_n_a0.00 10.00 10.00 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
fmvsm_s_conf0.5_n0.00 10.00 10.00 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
MM0.00 10.00 10.00 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_fmvsmconf0.1_n0.00 10.00 10.00 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_fmvsmconf0.01_n0.00 10.00 10.00 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_fmvsmconf_n0.00 10.00 10.00 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_fmvsmvis_n_19200.00 10.00 10.00 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_fmvsm_n_19200.00 10.00 10.00 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_cas_vis1_n_19200.00 10.00 10.00 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_vis1_n_19200.00 10.00 10.00 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_vis1_n0.00 10.00 10.00 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_fmvs1_n0.00 10.00 10.00 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
mvsany_test10.00 10.00 10.00 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
APD_test10.00 10.00 10.00 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_vis1_rt0.00 10.00 10.00 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_vis3_rt0.00 10.00 10.00 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_fmvs20.00 10.00 10.00 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_fmvs10.00 10.00 10.00 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_fmvs30.00 10.00 10.00 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
mvsany_test30.00 10.00 10.00 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
testf10.00 10.00 10.00 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
APD_test20.00 10.00 10.00 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_f0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
SF-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
9.140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
save fliter0.00 10.00 10.00 10.00 10.00 1
MVS_03040.00 10.00 10.00 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
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
train_agg0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
agg_prior0.00 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_prior0.00 10.00 10.00 10.00 10.00 10.00 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
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
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
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
test120.00 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
h-mvs330.30 460.30 470.30 510.30 580.30 580.30 580.30 590.30 580.30 570.30 550.30 570.30 580.30 560.30 560.30 56
hse-mvs20.30 460.30 470.30 510.30 580.30 580.30 580.30 590.30 580.30 570.30 550.30 570.30 580.30 560.30 560.30 56
CL-MVSNet_self_test0.30 460.30 470.30 510.30 580.30 580.30 580.30 590.30 580.30 570.30 550.30 570.30 580.30 560.30 560.30 56
AUN-MVS0.30 460.30 470.30 510.30 580.30 580.30 580.30 590.30 580.30 570.30 550.30 570.30 580.30 560.30 560.30 56
LCM-MVSNet0.37 500.36 510.37 550.37 620.37 620.37 620.32 630.37 620.37 610.37 590.37 610.37 620.37 600.37 600.37 60
Fast-Effi-MVS+0.41 630.40 520.41 680.41 750.41 750.41 750.35 640.41 750.41 740.41 720.41 740.41 750.41 730.41 730.41 73
v1441920.40 510.40 520.40 560.40 630.40 630.40 630.40 650.40 630.40 620.40 600.40 620.40 630.40 610.40 610.40 61
v19219200.40 510.40 520.40 560.40 630.40 630.40 630.40 650.40 630.40 620.40 600.40 620.40 630.40 610.40 610.40 61
v11920.40 510.40 520.40 560.40 630.40 630.40 630.40 650.40 630.40 620.40 600.40 620.40 630.40 610.40 610.40 61
v11440.40 510.40 520.40 560.40 630.40 630.40 630.40 650.40 630.40 620.40 600.40 620.40 630.40 610.40 610.40 61
v1480.40 510.40 520.40 560.40 630.40 630.40 630.40 650.40 630.40 620.40 600.40 620.40 630.40 610.40 610.40 61
v7n0.40 510.40 520.40 560.40 630.40 630.40 630.40 650.40 630.40 620.40 600.40 620.40 630.40 610.40 610.40 61
v12400.40 510.40 520.40 560.40 630.40 630.40 630.40 650.40 630.40 620.40 600.40 620.40 630.40 610.40 610.40 61
v80.40 510.40 520.40 560.40 630.40 630.40 630.40 650.40 630.40 620.40 600.40 620.40 630.40 610.40 610.40 61
v100.40 510.40 520.40 560.40 630.40 630.40 630.40 650.40 630.40 620.40 600.40 620.40 630.40 610.40 610.40 61
v2v4820.40 510.40 520.40 560.40 630.40 630.40 630.40 650.40 630.40 620.40 600.40 620.40 630.40 610.40 610.40 61
V420.40 510.40 520.40 560.40 630.40 630.40 630.40 650.40 630.40 620.40 600.40 620.40 630.40 610.40 610.40 61
GA-MVS0.40 510.40 520.40 560.40 630.40 630.40 630.40 650.40 630.40 620.40 600.40 620.40 630.40 610.40 610.40 61
Fast-Effi-MVS+-dtu0.44 640.44 650.44 690.44 760.44 760.44 760.44 770.44 760.44 750.44 730.44 750.44 760.44 740.44 740.44 74
Effi-MVS+0.58 650.56 660.62 720.53 770.62 790.53 770.53 780.53 770.62 780.62 760.53 760.62 790.62 760.53 750.62 77
KD-MVS_self_test0.60 670.60 670.60 710.60 780.60 780.60 790.60 790.60 780.60 770.60 750.60 770.60 780.60 750.60 770.60 76
EIA-MVS0.62 680.62 690.62 720.62 790.62 790.62 800.62 800.62 790.62 780.62 760.62 780.62 790.62 760.62 780.62 77
ETV-MVS0.62 680.62 690.62 720.62 790.62 790.62 800.62 800.62 790.62 780.62 760.62 780.62 790.62 760.62 780.62 77
CS-MVS0.62 680.62 690.62 720.62 790.62 790.62 800.62 800.62 790.62 780.62 760.62 780.62 790.62 760.62 780.62 77
SPE-MVS-test0.62 680.62 690.62 720.62 790.62 790.62 800.62 800.62 790.62 780.62 760.62 780.62 790.62 760.62 780.62 77
EC-MVSNet0.62 680.62 690.62 720.62 790.62 790.62 800.62 800.62 790.62 780.62 760.62 780.62 790.62 760.62 780.62 77
Effi-MVS+-dtu0.59 660.61 680.53 700.68 840.53 770.53 770.68 850.68 840.53 760.53 740.68 830.53 770.68 820.53 750.53 75
CDS-MVSNet0.88 730.88 740.88 780.88 850.88 850.88 850.88 860.88 850.88 840.88 820.88 840.88 850.88 830.88 830.88 83
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 730.88 740.88 780.88 850.88 850.88 850.88 860.88 850.88 840.88 820.88 840.88 850.88 830.88 830.88 83
LCM-MVSNet-Re0.89 750.89 760.89 800.89 870.89 870.89 870.89 880.89 870.89 860.89 840.89 860.89 870.89 850.89 850.89 85
test111.00 89
DeepMVS_CXcopyleft1.00 811.00 881.00 881.00 891.00 881.00 871.00 851.00 871.00 881.00 861.00 861.00 86
MDA-MVSNet-bldmvs1.20 761.20 771.20 821.20 891.20 901.20 881.20 911.20 891.20 881.20 861.20 881.20 891.20 871.20 871.20 87
YYNet11.20 761.20 771.20 821.20 891.20 901.20 881.20 911.20 891.20 881.20 861.20 881.20 891.20 871.20 871.20 87
MDA-MVSNet_test_wron1.20 761.20 771.20 821.20 891.20 901.20 881.20 911.20 891.20 881.20 861.20 881.20 891.20 871.20 871.20 87
KD-MVS_2432*16001.30 791.30 801.30 851.30 921.30 931.30 911.30 941.30 921.30 911.30 891.30 911.30 921.30 901.30 901.30 90
miper_refine_blended1.30 791.30 801.30 851.30 921.30 931.30 911.30 941.30 921.30 911.30 891.30 911.30 921.30 901.30 901.30 90
EI-MVSNet-UG-set1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
EI-MVSNet-Vis-set1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
EI-MVSNet1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
Regformer1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
CVMVSNet1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
EU-MVSNet1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
PS-CasMVS1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
UniMVSNet_NR-MVSNet1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
PEN-MVS1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
TransMVSNet (Re)1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
DTE-MVSNet1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
DU-MVS1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
UniMVSNet (Re)1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
CP-MVSNet1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
WR-MVS_H1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
WR-MVS1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
NR-MVSNet1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
Baseline_NR-MVSNet1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
TranMVSNet+NR-MVSNet1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
nn1.42 96
door-mid1.42 96
MVSFormer1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
jason1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
jason: jason.
lupinMVS1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
test_djsdf1.42 811.42 821.42 871.42 941.42 951.42 931.42 961.42 941.42 931.42 911.42 931.42 941.42 921.42 921.42 92
reproduce_monomvs1.48 1041.48 1051.48 1101.48 1181.48 1181.48 1161.48 1211.48 1171.48 1161.48 1141.48 1161.48 1171.48 1151.48 1151.48 115
mmtdpeth1.48 1041.48 1051.48 1101.48 1181.48 1181.48 1161.48 1211.48 1171.48 1161.48 1141.48 1161.48 1171.48 1151.48 1151.48 115
reproduce_model1.48 1041.48 1051.48 1101.48 1181.48 1181.48 1161.48 1211.48 1171.48 1161.48 1141.48 1161.48 1171.48 1151.48 1151.48 115
reproduce-ours1.48 1041.48 1051.48 1101.48 1181.48 1181.48 1161.48 1211.48 1171.48 1161.48 1141.48 1161.48 1171.48 1151.48 1151.48 115
our_new_method1.48 1041.48 1051.48 1101.48 1181.48 1181.48 1161.48 1211.48 1171.48 1161.48 1141.48 1161.48 1171.48 1151.48 1151.48 115
mmdepth1.48 1041.48 1051.48 1101.48 1181.48 1181.48 1161.48 1211.48 1171.48 1161.48 1141.48 1161.48 1171.48 1151.48 1151.48 115
monomultidepth1.48 1041.48 1051.48 1101.48 1181.48 1181.48 1161.48 1211.48 1171.48 1161.48 1141.48 1161.48 1171.48 1151.48 1151.48 115
mvs5depth1.48 1041.48 1051.48 1101.48 1181.48 1181.48 1161.48 1211.48 1171.48 1161.48 1141.48 1161.48 1171.48 1151.48 1151.48 115
MVStest11.48 1041.48 1051.48 1101.48 1181.48 1181.48 1161.48 1211.48 1171.48 1161.48 1141.48 1161.48 1171.48 1151.48 1151.48 115
ttmdpeth1.48 1041.48 1051.48 1101.48 1181.48 1181.48 1161.48 1211.48 1171.48 1161.48 1141.48 1161.48 1171.48 1151.48 1151.48 115
alignmvs2.00 1142.00 1152.00 1202.00 1282.00 1282.00 1262.00 1312.00 1272.00 1262.00 1242.00 1262.00 1272.00 1252.00 1252.00 125
nrg0302.00 1142.00 1152.00 1202.00 1282.00 1282.00 1262.00 1312.00 1272.00 1262.00 1242.00 1262.00 1272.00 1252.00 1252.00 125
LFMVS2.00 1142.00 1152.00 1202.00 1282.00 1282.00 1262.00 1312.00 1272.00 1262.00 1242.00 1262.00 1272.00 1252.00 1252.00 125
VDD-MVS2.00 1142.00 1152.00 1202.00 1282.00 1282.00 1262.00 1312.00 1272.00 1262.00 1242.00 1262.00 1272.00 1252.00 1252.00 125
VDDNet2.00 1142.00 1152.00 1202.00 1282.00 1282.00 1262.00 1312.00 1272.00 1262.00 1242.00 1262.00 1272.00 1252.00 1252.00 125
VPNet2.00 1142.00 1152.00 1202.00 1282.00 1282.00 1262.00 1312.00 1272.00 1262.00 1242.00 1262.00 1272.00 1252.00 1252.00 125
VNet2.00 1142.00 1152.00 1202.00 1282.00 1282.00 1262.00 1312.00 1272.00 1262.00 1242.00 1262.00 1272.00 1252.00 1252.00 125
VPA-MVSNet2.00 1142.00 1152.00 1202.00 1282.00 1282.00 1262.00 1312.00 1272.00 1262.00 1242.00 1262.00 1272.00 1252.00 1252.00 125
cascas2.00 1142.00 1152.00 1202.00 1282.00 1282.00 1262.00 1312.00 1272.00 1262.00 1242.00 1262.00 1272.00 1252.00 1252.00 125
dp87.20 152113.80 1567.42 13910.50 1588.88 147298.82 1732.70 140510.35 1927.79 145172.93 1663.37 1359.16 14614.00 1573.71 1354.23 135
test_method18.29 14520.89 14710.50 15015.00 16013.00 16255.00 1653.00 14134.00 16211.50 15832.50 1565.00 13613.50 15927.00 1605.00 1365.00 136
GeoE19.41 14622.09 14811.37 15117.21 16211.30 16050.50 1644.30 14233.60 16111.70 16044.50 1617.30 14718.90 16122.60 1597.10 1473.90 134
UnsupCasMVSNet_eth5.90 1235.90 1245.90 1295.90 1375.90 1375.90 1365.90 1435.90 1375.90 1355.90 1335.90 1375.90 1365.90 1345.90 1375.90 137
UnsupCasMVSNet_bld5.90 1235.90 1245.90 1295.90 1375.90 1375.90 1365.90 1435.90 1375.90 1355.90 1335.90 1375.90 1365.90 1345.90 1375.90 137
WTY-MVS5.90 1235.90 1245.90 1295.90 1375.90 1375.90 1365.90 1435.90 1375.90 1355.90 1335.90 1375.90 1365.90 1345.90 1375.90 137
HY-MVS5.90 15.90 1235.90 1245.90 1295.90 1375.90 1375.90 1365.90 1435.90 1375.90 1355.90 1335.90 1375.90 1365.90 1345.90 1375.90 137
sss5.90 1235.90 1245.90 1295.90 1375.90 1375.90 1365.90 1435.90 1375.90 1355.90 1335.90 1375.90 1365.90 1345.90 1375.90 137
Test_1112_low_res5.90 1235.90 1245.90 1295.90 1375.90 1375.90 1365.90 1435.90 1375.90 1355.90 1335.90 1375.90 1365.90 1345.90 1375.90 137
1112_ss5.90 1235.90 1245.90 1295.90 1375.90 1375.90 1365.90 1435.90 1375.90 1355.90 1335.90 1375.90 1365.90 1345.90 1375.90 137
ab-mvs-re5.90 1235.90 1245.90 1295.90 1375.90 1375.90 1365.90 1435.90 1375.90 1355.90 1335.90 1375.90 1365.90 1345.90 1375.90 137
ab-mvs5.90 1235.90 1245.90 1295.90 1375.90 1375.90 1365.90 1435.90 1375.90 1355.90 1335.90 1375.90 1365.90 1345.90 1375.90 137
CDPH-MVS6.66 1326.66 1336.66 1386.66 1466.66 1466.66 1456.66 1526.66 1466.66 1446.66 1426.66 1466.66 1456.66 1436.66 1466.66 146
GBi-Net44.67 15149.24 15330.96 15447.53 16747.57 168126.09 1668.00 15376.99 16726.09 16273.50 16311.27 16030.55 16261.12 16512.58 16014.75 159
MDTV_nov1_ep139.99 1349.99 1479.99 1489.99 1469.99 1549.99 1479.99 1469.99 1439.99 1489.99 1479.99 1449.99 148
xiu_mvs_v1_base_debu10.28 13310.28 13510.28 14010.28 14810.28 15010.28 14810.28 15510.28 14910.28 14810.28 14410.28 15010.28 14810.28 14610.28 14910.28 148
xiu_mvs_v2_base10.28 13310.28 13510.28 14010.28 14810.28 15010.28 14810.28 15510.28 14910.28 14810.28 14410.28 15010.28 14810.28 14610.28 14910.28 148
xiu_mvs_v1_base10.28 13310.28 13510.28 14010.28 14810.28 15010.28 14810.28 15510.28 14910.28 14810.28 14410.28 15010.28 14810.28 14610.28 14910.28 148
xiu_mvs_v1_base_debi10.28 13310.28 13510.28 14010.28 14810.28 15010.28 14810.28 15510.28 14910.28 14810.28 14410.28 15010.28 14810.28 14610.28 14910.28 148
cdsmvs_eth3d_5k10.28 13310.28 13510.28 14010.28 14810.28 15010.28 14810.28 15510.28 14910.28 14810.28 14410.28 15010.28 14810.28 14610.28 14910.28 148
pcd_1.5k_mvsjas10.28 13310.28 13510.28 14010.28 14810.28 15010.28 14810.28 15510.28 14910.28 14810.28 14410.28 15010.28 14810.28 14610.28 14910.28 148
PS-MVSNAJss10.28 13310.28 13510.28 14010.28 14810.28 15010.28 14810.28 15510.28 14910.28 14810.28 14410.28 15010.28 14810.28 14610.28 14910.28 148
PS-MVSNAJ10.28 13310.28 13510.28 14010.28 14810.28 15010.28 14810.28 15510.28 14910.28 14810.28 14410.28 15010.28 14810.28 14610.28 14910.28 148
jajsoiax10.28 13310.28 13510.28 14010.28 14810.28 15010.28 14810.28 15510.28 14910.28 14810.28 14410.28 15010.28 14810.28 14610.28 14910.28 148
mvs_tets10.28 13310.28 13510.28 14010.28 14810.28 15010.28 14810.28 15510.28 14910.28 14810.28 14410.28 15010.28 14810.28 14610.28 14910.28 148
MP-MVS-pluss833433.63 3041111219.60 31075.70 16574.28 16973.29 172284.50 17011.35 165238.58 17465.86 170255.35 18214.55 163115.69 18410000000.00 33731.94 16338.12 169
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 158133.18 16075.70 16574.28 16973.29 172284.50 17011.35 165238.58 17465.86 170255.35 18214.55 163115.69 184222.18 18431.94 16338.12 169
SR-MVS-dyc-post11.55 14311.55 14511.55 15211.55 15911.55 16111.55 15811.55 16711.55 15911.55 15911.55 15411.55 16111.55 15811.55 15611.55 15911.55 158
n214.20 168
XXY-MVS15.00 14415.00 14615.00 15315.00 16015.00 16315.00 15915.00 16915.00 16015.00 16115.00 15515.00 16515.00 16015.00 15815.00 16115.00 160
new_pmnet88.14 15398.62 15456.70 15998.14 17456.07 169246.79 16815.37 170148.06 16850.77 167143.13 16423.35 16662.65 16793.26 16668.71 18551.38 181
N_pmnet88.14 15398.62 15456.70 15998.14 17456.07 169246.79 16815.37 170148.06 16850.77 167143.13 16423.35 16662.65 16793.26 16668.71 18551.38 181
BP-MVS1202.65 170232.15 172114.16 178183.40 188141.78 188655.87 19224.69 172372.56 187109.76 186356.89 18447.15 186139.51 186284.15 18654.86 18261.20 183
CANet110.62 155124.04 15770.34 16282.03 17174.27 174325.54 17425.25 173207.16 17069.28 172194.38 16727.53 16895.79 176147.76 17037.43 16540.97 175
CANet_DTU110.62 155124.04 15770.34 16282.03 17174.27 174325.54 17425.25 173207.16 17069.28 172194.38 16727.53 16895.79 176147.76 17037.43 16540.97 175
UGNet110.62 155124.04 15770.34 16282.03 17174.27 174325.54 17425.25 173207.16 17069.28 172194.38 16727.53 16895.79 176147.76 17037.43 16540.97 175
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
PVSNet_Blended_VisFu136.90 167155.40 16981.40 174111.00 18496.20 178407.00 18425.90 176251.60 17685.10 182240.50 17837.00 17899.90 179199.80 18040.70 17948.10 178
PVSNet_BlendedMVS136.90 167155.40 16981.40 174111.00 18496.20 178407.00 18425.90 176251.60 17685.10 182240.50 17837.00 17899.90 179199.80 18040.70 17948.10 178
PVSNet_Blended136.90 167155.40 16981.40 174111.00 18496.20 178407.00 18425.90 176251.60 17685.10 182240.50 17837.00 17899.90 179199.80 18040.70 17948.10 178
FMVSNet5124.76 159140.93 16176.26 167107.44 177100.17 181329.88 17727.12 179259.44 17974.30 175204.34 17030.74 17192.41 169196.98 17338.15 16836.19 162
test1124.76 159140.93 16176.26 167107.44 177100.17 181329.88 17727.12 179259.44 17974.30 175204.34 17030.74 17192.41 169196.98 17338.15 16836.19 162
FMVSNet3124.76 159140.93 16176.26 167107.44 177100.17 181329.88 17727.12 179259.44 17974.30 175204.34 17030.74 17192.41 169196.98 17338.15 16836.19 162
FMVSNet2124.76 159140.93 16176.26 167107.44 177100.17 181329.88 17727.12 179259.44 17974.30 175204.34 17030.74 17192.41 169196.98 17338.15 16836.19 162
FMVSNet1124.76 159140.93 16176.26 167107.44 177100.17 181329.88 17727.12 179259.44 17974.30 175204.34 17030.74 17192.41 169196.98 17338.15 16836.19 162
MIMVSNet1124.76 159140.93 16176.26 167107.44 177100.17 181329.88 17727.12 179259.44 17974.30 175204.34 17030.74 17192.41 169196.98 17338.15 16836.19 162
MIMVSNet124.76 159140.93 16176.26 167107.44 177100.17 181329.88 17727.12 179259.44 17974.30 175204.34 17030.74 17192.41 169196.98 17338.15 16836.19 162
FE-MVS207.10 171234.26 173125.61 179180.34 187153.23 189635.64 19130.05 186378.38 188127.68 187377.08 18548.95 187154.43 187266.67 18563.56 18369.18 184
GDP-MVS219.79 172249.11 174131.85 180187.15 189155.97 190667.31 19330.57 187398.95 189131.26 188387.86 18658.83 189164.55 188315.00 18765.03 18475.04 185
BH-w/o40.00 14740.00 14940.00 15540.00 16340.00 16440.00 16040.00 18840.00 16340.00 16340.00 15740.00 18240.00 16340.00 16140.00 17540.00 171
BH-untuned40.00 14740.00 14940.00 15540.00 16340.00 16440.00 16040.00 18840.00 16340.00 16340.00 15740.00 18240.00 16340.00 16140.00 17540.00 171
BH-RMVSNet40.00 14740.00 14940.00 15540.00 16340.00 16440.00 16040.00 18840.00 16340.00 16340.00 15740.00 18240.00 16340.00 16140.00 17540.00 171
TR-MVS40.00 14740.00 14940.00 15540.00 16340.00 16440.00 16040.00 18840.00 16340.00 16340.00 15740.00 18240.00 16340.00 16140.00 17540.00 171
FA-MVS(test-final)261.15 173293.29 175164.72 181236.23 192199.99 195800.05 19942.35 192475.87 191155.47 189470.67 18858.49 188205.24 190319.44 18881.03 18888.93 186
DSMNet-mixed131.33 166143.00 16896.33 17799.00 17681.00 177201.00 16745.00 193335.00 18699.00 185251.00 18138.00 181110.00 183120.00 16999.00 19198.00 187
WB-MVS316.44 176357.41 178193.51 185257.06 194213.32 198914.45 20249.03 194600.77 199186.42 193634.00 20175.03 194251.35 195411.39 19288.55 189115.87 191
kuosan267.89 175301.05 177168.41 182244.05 193177.28 191667.98 19465.76 195533.41 193157.79 190492.01 189104.69 204226.72 191364.47 19179.31 187101.21 189
testing91347.05 179389.92 181218.43 188275.92 199241.43 200923.71 20471.70 196667.65 204217.04 198629.00 199113.33 208281.39 198495.50 198115.45 195132.47 195
testing11348.86 180393.09 182216.15 187275.24 198239.53 199915.55 20372.35 197679.89 205215.75 197633.79 200118.08 209276.62 197509.56 206117.61 198132.30 194
dongtai360.45 181401.64 183236.89 191303.10 202262.16 206963.12 20572.78 198622.82 202199.37 195708.06 204130.96 212310.90 201506.46 205108.11 192137.60 199
WB-MVSnew404.84 187458.00 189245.36 193374.70 212320.27 2141193.74 22372.90 199773.77 214238.30 199688.22 20390.05 197308.59 200532.76 209157.54 210107.21 190
SSC-MVS320.23 177364.09 179188.66 184260.78 195193.84 193975.93 20873.11 200596.72 198185.29 192589.02 19574.47 193246.01 194427.42 19594.06 190126.12 192
testing99408.82 188462.15 190248.86 195322.45 205269.42 2071118.93 21973.26 201719.36 209262.28 203772.10 208150.98 219327.08 204601.98 214137.99 203150.07 202
myMVS_eth3d28418.40 190473.07 192254.39 197261.18 196313.04 2101172.79 22274.16 202929.18 222264.68 204745.72 207139.03 217318.91 202549.18 211121.71 200131.21 193
UWE-MVS-28327.73 178369.67 180201.90 186281.09 201210.75 196832.98 20174.67 203680.98 206198.23 194613.42 198112.56 207259.80 196418.76 193114.35 193135.15 198
DP-MVS264.78 174296.02 176171.04 183191.70 190183.96 192827.10 20078.36 204438.24 190176.64 191435.12 18765.04 191230.52 193334.02 189117.96 19998.64 188
DP-MVS Recon516.25 202581.17 203321.48 211361.02 209429.00 2271995.36 23978.48 205796.20 215283.32 211796.02 21396.78 199382.98 214636.72 220186.66 222152.46 203
testing222430.52 191487.50 195259.56 198379.87 216282.69 2081138.34 22081.30 206880.86 218281.58 208834.27 219135.83 215333.22 205514.90 207140.56 204162.76 205
ACMH+729.97 2661.38 209754.00 211383.51 215368.96 211376.38 2222483.74 25382.42 2071089.25 233333.39 2201219.68 23866.53 192573.60 238957.86 236184.14 221200.56 219
UWE-MVS387.98 184438.66 187235.93 189349.32 208257.61 2041081.50 21682.45 208637.74 203257.12 202738.54 206134.25 213308.00 199531.93 208135.11 202142.17 200
ETVMVS443.50 195498.07 197279.78 201378.05 215321.57 2151163.68 22187.12 209897.50 221269.81 207822.83 218141.20 218334.53 206568.21 213154.21 205183.26 212
ADS-MVSNet2443.33 193482.84 193324.79 212434.94 225387.73 2231110.57 21787.69 210887.02 219282.92 209779.29 20998.57 202422.76 221502.40 199162.19 214163.87 206
ADS-MVSNet443.33 193482.84 193324.79 212434.94 225387.73 2231110.57 21787.69 210887.02 219282.92 209779.29 20998.57 202422.76 221502.40 199162.19 214163.87 206
testing3-2489.51 198555.88 201290.42 202362.21 210319.27 2131424.84 22888.81 212964.80 223309.62 215879.13 221174.38 227363.98 208643.82 222155.29 206188.01 213
RPSCF394.81 186445.63 188242.35 192276.55 200253.63 2021207.27 22490.69 213715.56 207241.57 201684.87 202111.96 206320.02 203548.38 210133.81 201153.39 204
testing3418.10 189469.06 191265.23 199335.69 206290.63 2091240.88 22593.72 214717.99 208215.31 196811.97 217232.41 251358.74 207458.67 196114.88 194146.32 201
MVP-Stereo473.58 196533.67 198293.33 203376.00 213318.00 2111461.00 22996.00 215835.00 216290.00 212804.00 21497.00 200383.00 215688.00 226156.00 207179.00 210
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 196533.67 198293.33 203376.00 213318.00 2111461.00 22996.00 215835.00 216290.00 212804.00 21497.00 200383.00 215688.00 226156.00 207179.00 210
lessismore_v0569.20 234667.25 251644.68 25196.45 217428.86 2261514.17 253204.21 246756.58 2471061.60 247197.79 224306.34 236
EG-PatchMatch MVS437.03 192493.12 196268.77 200264.80 197260.20 2051491.80 23198.00 218723.20 210238.80 200722.40 20563.10 190382.00 213629.00 218207.00 225164.10 208
Syy-MVS370.76 182415.60 185236.25 190310.54 203210.76 197965.13 20698.58 219746.06 211266.26 205788.85 21191.37 198364.76 209357.17 190116.42 196133.22 196
myMVS_eth3d390.90 185437.44 186251.28 196310.54 203255.86 203965.13 20698.58 219746.06 211266.26 205788.85 211154.95 220364.76 209490.19 197116.42 196133.22 196
door99.00 221
WBMVS655.88 208770.84 213310.98 209391.79 219353.00 2192280.68 24199.17 2221776.79 255301.20 2141123.23 237187.34 237390.28 217620.39 217156.98 209189.66 215
IterMVS615.05 206691.66 209385.23 216516.40 228454.80 2281863.80 237102.10 2231142.20 234364.10 2221093.20 236135.00 214480.40 224826.90 231181.20 219220.50 220
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
K. test v3877.74 228980.16 231570.46 2351316.85 274813.15 2602565.52 255103.78 2241509.49 250548.33 2391258.90 239219.93 250587.82 2401102.37 255196.30 223310.42 237
SixPastTwentyTwo773.62 215869.37 221486.35 228603.45 232547.15 2422532.14 254106.92 2251434.95 241428.08 2251360.56 241165.15 225628.96 244984.09 237209.01 227282.94 232
PatchmatchNetpermissive492.52 199551.22 200316.40 210400.20 221357.90 2211277.10 226115.80 2261034.60 232315.90 216874.00 220155.10 221402.20 218629.50 219158.80 211189.10 214
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
DELS-MVS514.57 201587.73 204295.12 205343.03 207328.09 2181540.48 233116.22 227988.59 224325.44 219906.22 222119.86 211365.72 211788.60 230161.09 213191.55 216
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
SSC-MVS3.2667.82 210787.71 214308.16 207385.94 217327.65 2161718.51 234117.00 2281942.46 260317.12 2171488.73 251183.89 228404.82 219763.70 228172.02 217192.01 217
UBG667.82 210787.71 214308.16 207385.94 217327.65 2161718.51 234117.00 2281942.46 260317.12 2171488.73 251183.89 228404.82 219763.70 228172.02 217192.01 217
mvs_anonymous774.90 216882.28 222452.77 218636.50 242537.20 2342348.80 244120.30 2301504.30 243474.40 2281371.10 243186.90 230564.70 2311078.90 248219.30 228256.40 222
casdiffmvspermissive774.90 216882.28 222452.77 218636.50 242537.20 2342348.80 244120.30 2301504.30 243474.40 2281371.10 243186.90 230564.70 2311078.90 248219.30 228256.40 222
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
diffmvspermissive774.90 216882.28 222452.77 218636.50 242537.20 2342348.80 244120.30 2301504.30 243474.40 2281371.10 243186.90 230564.70 2311078.90 248219.30 228256.40 222
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
baseline2774.90 216882.28 222452.77 218636.50 242537.20 2342348.80 244120.30 2301504.30 243474.40 2281371.10 243186.90 230564.70 2311078.90 248219.30 228256.40 222
baseline1774.90 216882.28 222452.77 218636.50 242537.20 2342348.80 244120.30 2301504.30 243474.40 2281371.10 243186.90 230564.70 2311078.90 248219.30 228256.40 222
casdiffmvs_mvgpermissive774.90 216882.28 222452.77 218636.50 242537.20 2342348.80 244120.30 2301504.30 243474.40 2281371.10 243186.90 230564.70 2311078.90 248219.30 228256.40 222
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
baseline774.90 216882.28 222452.77 218636.50 242537.20 2342348.80 244120.30 2301504.30 243474.40 2281371.10 243186.90 230564.70 2311078.90 248219.30 228256.40 222
IterMVS-LS758.94 213856.56 218466.10 226606.60 233546.80 2412309.90 242122.20 2371402.80 240463.50 2271348.20 240192.60 240574.60 2391028.60 246234.60 237276.90 231
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 207700.96 210362.78 214426.10 224409.25 2251822.69 236124.42 2381186.23 235366.85 2231079.42 234190.60 239451.78 223930.72 235181.59 220227.30 221
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
PVSNet1207.94 6829.56 226937.18 229506.69 230645.55 249585.72 2442477.98 252130.52 2391578.29 251509.50 2361460.01 250194.90 241637.19 2451170.78 256267.07 241297.17 234
ACMH993.80 5967.92 2311106.11 241553.33 232494.00 227534.00 2323581.00 259136.00 2401585.00 252478.00 2351871.00 25890.00 195839.00 2501460.00 259260.00 238287.00 233
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++1242.93 2441411.08 247738.48 249712.71 253712.68 2544168.17 264136.50 2412276.40 265613.28 2492368.60 265161.61 2231130.38 2681964.54 268297.88 244372.39 245
MVS_111021_LR1136.45 2421298.72 245649.64 240756.17 255726.26 2563785.94 260138.15 2422190.64 264629.63 2502064.39 261165.45 226874.83 2521678.43 264279.70 242347.82 243
new-patchmatchnet766.12 214859.03 219487.38 229595.68 230536.14 2332346.27 243142.51 2431488.08 242422.43 2241361.32 242163.65 224628.60 2431003.74 245207.61 226297.41 235
ACMMPR1296.60 2461480.82 249743.96 250899.25 259763.47 2584305.47 265143.90 2442530.94 268683.99 2512346.34 264201.65 2441098.25 2661920.59 267295.21 243370.16 244
MVSTER890.06 2291005.91 238542.52 231736.13 254653.90 2522616.56 256145.22 2451692.10 254555.69 2431554.72 254266.25 252660.02 2461219.66 257266.84 240313.64 238
ACMP1246.57 71086.24 2391235.17 243639.45 239596.53 231639.91 2503904.24 262152.04 2461851.54 257566.58 2441997.95 260138.50 216938.30 2541605.46 261303.70 247340.14 240
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PVSNet_01661.03 9968.54 2321066.82 240673.70 245706.94 252695.69 2532669.02 257153.52 2472108.17 263605.54 2451679.14 255213.26 249886.75 2531236.76 258229.01 236438.67 250
ACMM1311.08 81165.06 2431332.72 246662.07 243584.90 229715.99 2554373.59 266153.99 2481880.27 258709.02 2542316.97 262188.63 238939.89 2551484.30 260302.78 246330.34 239
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MG-MVS1256.50 2451432.00 248730.00 248610.00 234760.00 2574720.00 267169.00 2491920.00 259723.00 2562510.00 268201.00 2431050.00 2651645.00 263390.00 251380.00 246
TSAR-MVS + GP.1386.84 2471622.84 251678.81 246952.13 261840.17 2625358.21 270170.75 2502650.47 269713.54 2552394.28 266209.42 248855.56 2511854.36 266302.42 245340.71 241
CSCG826.03 225963.29 230414.24 217421.52 223426.11 2262230.35 240179.52 2511827.44 256733.43 257933.12 224281.25 253545.23 2291800.35 265262.64 239271.38 230
Gipumacopyleft689.75 212767.00 212458.00 225613.00 240549.00 2431943.00 238187.00 2521230.00 236518.00 2371092.00 235203.00 245564.00 230892.00 234225.00 235261.00 229
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
DeepC-MVS_fast2190.19 121535.59 2491886.82 253481.89 227847.73 256830.16 2617943.84 286189.23 2532398.83 266691.73 2532341.13 263209.16 247230.25 1921999.25 269360.46 249385.25 247
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
test_04021110.00 2411260.00 244660.00 241900.00 260780.00 2593300.00 258210.00 2542040.00 262690.00 2521950.00 259300.00 256810.00 2491620.00 262330.00 248390.00 248
tpmvs501.65 200567.42 202304.33 206395.39 220356.32 2201512.04 232216.53 255994.15 225350.16 221804.16 216119.38 210380.98 212555.14 212159.87 212175.69 209
OpenMVS_ROBcopyleft1936.51 101959.51 2522224.88 2561163.39 2631253.91 2711434.22 2787065.71 276272.76 2562472.29 2671647.54 3013538.72 273200.37 2421496.48 2722575.17 274997.45 291559.48 253
PMVScopyleft863.65 3957.08 2301054.11 239666.00 244401.00 222495.00 2303790.00 261279.00 2571607.00 253521.00 2381745.00 25690.00 1951105.00 267639.00 221415.00 252398.00 249
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
DPM-MVS3268.00 2723762.89 2751783.33 2821756.00 2851806.00 29812319.00 309307.00 2586319.00 3001557.00 2925763.00 293302.00 2572609.00 2955061.00 298482.00 253935.00 283
OPM-MVS3268.00 2723762.89 2751783.33 2821756.00 2851806.00 29812319.00 309307.00 2586319.00 3001557.00 2925763.00 293302.00 2572609.00 2955061.00 298482.00 253935.00 283
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
test_0728_SECOND1451.45 2711725.60 2801598.35 2849203.30 293315.86 2602023.43 2823973.88 287620.04 258732.56 263
test07261725.60 2801598.35 2849203.30 293315.86 2605016.02 2891363.85 2814894.28 287387.23 266
SD-MVS2654.53 2643055.56 2691451.45 2711725.60 2801598.35 2849203.30 293315.86 2605016.02 2891363.85 2814894.28 287387.23 2662023.43 2823973.88 287620.04 258732.56 263
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
tpmrst2557.50 2622847.12 2651688.66 2781784.08 2881778.25 2977445.50 283342.14 2634471.54 2841534.55 2884382.10 282530.10 2782361.21 2894142.81 290991.22 290926.51 281
DVP-MVS++3981.10 2824731.32 2871730.42 2802191.51 2991949.98 30216473.90 318355.33 2647172.90 3111622.98 2997879.79 309434.33 2692428.11 2915762.12 301689.04 263813.18 269
DVP-MVScopyleft3981.10 2824731.32 2871730.42 2802191.51 2991949.98 30216473.90 318355.33 2647172.90 3111622.98 2997879.79 309434.33 2692428.11 2915762.12 301689.04 263813.18 269
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
COLMAP_ROBcopyleft2144.59 111658.33 2501869.33 2521025.33 2601030.00 2691023.00 2745311.00 269359.00 2663044.00 270937.00 2612892.00 269332.00 2601440.00 2712312.00 271607.00 255613.00 256
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
AdaColmapbinary2570.77 2632948.61 2661437.24 2701873.64 2891526.60 2817819.77 284373.97 2674970.45 2871479.29 2864648.46 284525.80 2771904.97 2804150.42 291695.69 268880.14 279
tmp_tt371.08 183412.78 184246.00 194231.00 191197.00 1941293.00 227376.00 268756.00 213609.00 24671.00 162106.00 205195.00 189102.00 168171.00 216346.00 242
ZD-MVS1584.00 2771821.00 300378.00 2693721.00 2751231.00 2761833.00 257321.00 2591224.00 2692103.00 270692.00 266
MVS-HIRNet2125.39 2542452.68 2571143.53 2622938.33 3171446.92 2796083.19 271391.74 2703801.71 2761202.10 2753439.72 271492.73 2741304.35 2703048.25 278676.32 261679.32 262
F-COLMAP1878.17 2512113.11 2541173.33 2641231.00 2701174.00 2756297.00 272392.00 2713356.00 2731087.00 2713082.00 270361.00 2641670.00 2732523.00 273689.00 262676.00 261
OpenMVScopyleft2352.88 132263.08 2562530.89 2591459.67 2731767.00 2871591.00 2837932.00 285399.00 2723643.00 2741176.00 2743569.00 274297.00 2551927.00 2813302.00 279693.00 267861.00 275
CHOSEN 280x4202340.81 2582643.03 2611434.14 2672025.55 2961629.36 2876542.40 273412.49 2734219.70 2801547.02 2894328.52 279650.74 2901798.26 2763333.17 280727.72 269874.79 276
CHOSEN 1792x26882340.81 2582643.03 2611434.14 2672025.55 2961629.36 2876542.40 273412.49 2734219.70 2801547.02 2894328.52 279650.74 2901798.26 2763333.17 280727.72 269874.79 276
HyFIR lowres test2340.81 2582643.03 2611434.14 2672025.55 2961629.36 2876542.40 273412.49 2734219.70 2801547.02 2894328.52 279650.74 2901798.26 2763333.17 280727.72 269874.79 276
gg-mvs-nofinetune594.69 203605.37 205562.67 233617.29 241500.33 231772.30 195413.12 276579.21 194552.71 240567.40 190662.54 295531.67 225503.93 201779.80 273656.02 257
TSAR-MVS + MP.3528.01 2754065.89 2821914.35 2852349.10 3022141.30 30712362.70 311417.60 2776717.80 3061759.40 3036497.50 296518.18 2762629.38 2985164.32 300806.40 280972.38 288
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
SteuartSystems-ACMMP2891.50 2693284.78 2721711.67 2791954.00 2901655.00 29010117.00 306445.00 2785102.00 2921375.00 2855126.00 291351.00 2632638.00 2994402.00 294691.00 265842.00 273
Skip Steuart: Steuart Systems R&D Blog.
PCF-MVS4335.85 202272.23 2572597.03 2601297.84 2651701.20 2791332.37 2768105.11 287451.45 2794031.84 2781099.10 2723966.50 277467.45 2721734.05 2752701.68 276848.94 282827.11 272
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
TAPA-MVS6309.84 213374.90 2743806.99 2772078.63 2912535.47 3072499.25 3168816.16 291456.05 2806255.60 2991664.52 3026704.88 298629.95 2882768.38 3006343.93 312856.35 283968.25 287
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
LF4IMVS2699.50 2663049.67 2681649.00 2771755.00 2841689.00 2918330.00 288464.00 2814997.00 2881528.00 2874763.00 286568.00 2812296.00 2884215.00 292827.00 281962.00 286
Vis-MVSNetpermissive2877.42 2683170.00 2711999.67 2891673.00 2782042.00 3068593.00 290474.00 2826452.00 3021268.00 2795125.00 290339.00 2613004.00 3034222.00 293384.00 250953.00 285
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
PLCcopyleft2858.82 162192.92 2552474.00 2581349.67 2661407.00 2751356.00 2777164.00 277475.00 2833970.00 2771237.00 2783765.00 276451.00 2711891.00 2793006.00 277791.00 278802.00 266
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
3Dnovator2482.06 142531.17 2612839.56 2641606.00 2751732.00 2831557.00 2828375.00 289483.00 2844370.00 2831371.00 2844200.00 278350.00 2622207.00 2863877.00 286798.00 2791054.00 296
FOURS12643.17 3082465.14 31113996.40 313493.26 2857619.38 3142107.24 307
MSC_two_6792asdad2237.56 2922643.17 3082465.14 311493.26 2853088.29 3086075.14 3081078.39 3001159.26 298
No_MVS2237.56 2922643.17 3082465.14 311493.26 2853088.29 3086075.14 3081078.39 3001159.26 298
test_one_06012643.17 3082465.14 311493.26 2857619.38 3142107.24 3077416.93 305610.24 285
SED-MVS4062.74 2854671.13 2862237.56 2922643.17 3082465.14 31113996.40 313493.26 2857619.38 3142107.24 3077416.93 305610.24 2853088.29 3086075.14 3081078.39 3001159.26 298
FPMVS1407.00 2481495.59 2501141.23 261648.01 250893.85 2644124.00 263503.81 2903219.04 271742.72 2582498.84 267157.98 2221727.83 274832.93 232732.98 272802.00 266
GG-mvs-BLEND596.01 236611.29 237600.33 245790.30 196513.12 291552.71 240567.40 190662.54 295531.67 225503.93 201779.80 273656.02 257
CR-MVSNet612.36 205617.81 208596.01 236611.29 237600.33 245790.30 196513.12 291579.21 194552.71 240567.40 190662.54 295531.67 225503.93 201779.80 273656.02 257
IU-MVS2725.60 3132598.35 317515.86 2937016.02 3072363.85 3115973.88 3041620.04 3121732.56 308
test_241102_TWO515.86 2937016.02 3072363.85 3116894.28 299887.23 3033023.43 3045973.88 3041620.04 3121732.56 308
test_241102_ONE2725.60 3132598.35 317515.86 2937016.02 3072363.85 3116894.28 299887.23 3033023.43 304
MSP-MVS4296.20 2864911.12 2902451.45 3002725.60 3132598.35 31716203.30 317515.86 2937016.02 3072363.85 3116894.28 299887.23 3033023.43 3045973.88 3041620.04 3121732.56 308
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
MVS_111021_HR3742.80 2804330.34 2831980.20 2872484.31 3052259.52 30914973.80 316515.90 2976500.13 3031949.21 3066146.89 295535.66 2792593.66 2944880.76 297986.37 2891087.43 297
DeepPCF-MVS3452.42 182670.71 2653021.57 2671618.12 2762377.67 3031751.39 2968915.70 292567.44 2984569.74 2851236.84 2774615.63 283513.23 2752291.32 2873515.48 283882.39 284811.66 268
DeepC-MVS3917.13 193155.06 2713601.83 2741814.72 2842515.52 3061941.53 30110432.50 307589.42 2994789.45 2861298.65 2807677.31 308578.35 2822589.53 2933611.78 285923.52 287913.10 280
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
RE-MVS-def610.10 206610.10 235610.10 248610.10 189610.10 300610.10 200610.10 247610.10 196610.10 283610.10 215610.10 256610.10 254
SR-MVS610.10 204610.10 206610.10 238610.10 235610.10 248610.10 189610.10 300610.10 200610.10 247610.10 196610.10 283610.10 241610.10 215610.10 256610.10 254
RPMNet787.26 223829.13 216661.63 242885.90 257895.90 265455.98 187610.10 3001297.17 2371002.26 2691001.67 232655.98 293611.10 242667.90 223885.21 285477.90 251
3Dnovator+3414.41 173146.67 2703537.00 2731975.67 2862310.00 3012005.00 30510100.00 305626.00 3035753.00 2931803.00 3045179.00 292487.00 2732622.00 2974550.00 2951025.00 2991300.00 303
EGC-MVSNET2819.75 2673096.89 2701988.33 2883105.00 3182241.00 3089480.00 297640.00 3044209.00 2791583.00 2944740.00 285547.00 2802797.00 3012644.00 275924.00 288927.00 282
JIA-IIPM804.30 224835.64 217710.26 247885.90 257895.90 265455.98 187668.73 3051297.17 2371002.26 2691001.67 232655.98 293756.98 248667.90 223885.21 285477.90 251
ITE_SJBPF2014.00 2901998.00 2911992.00 304701.00 3065989.00 2941812.00 3053612.00 275650.00 2892852.00 3024601.00 2961195.00 3051198.00 302
CLD-MVS7338.25 2898341.00 2924330.00 3054902.00 3214991.00 32423318.00 321728.00 30714437.00 3284378.00 32013379.00 323824.00 3015708.00 31911429.00 3291674.00 3162291.00 316
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MAR-MVS3973.16 2814387.92 2842728.86 3023345.27 3193341.39 32311403.90 308798.76 3086555.62 3052569.29 3166514.86 297834.97 3023237.43 3125891.08 3031577.54 3111607.76 304
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
OMC-MVS5022.26 2885748.82 2912842.58 3044905.27 3223101.27 32114933.60 315812.24 3099278.40 3182959.29 3188800.17 3151092.24 3153806.30 3147568.54 3201389.60 3101620.18 306
CMPMVSbinary2623.62 151983.08 2532156.14 2551463.89 2741414.80 2761517.00 2805239.20 268867.40 3103310.30 2721128.70 2733489.90 272366.75 2652030.20 2852427.60 2721160.60 304844.46 274
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
tpm23617.85 2764007.23 2782449.73 2962012.71 2921698.05 2927351.19 279869.29 3116132.06 2951588.28 2958007.42 3111281.09 3173888.11 3157472.04 3161351.00 3061763.02 312
tpm cat13617.85 2764007.23 2782449.73 2962012.71 2921698.05 2927351.19 279869.29 3116132.06 2951588.28 2958007.42 3111281.09 3173888.11 3157472.04 3161351.00 3061763.02 312
CostFormer3617.85 2764007.23 2782449.73 2962012.71 2921698.05 2927351.19 279869.29 3116132.06 2951588.28 2958007.42 3111281.09 3173888.11 3157472.04 3161351.00 3061763.02 312
tpm3617.85 2764007.23 2782449.73 2962012.71 2921698.05 2927351.19 279869.29 3116132.06 2951588.28 2958007.42 3111281.09 3173888.11 3157472.04 3161351.00 3061763.02 312
API-MVS4380.83 2874906.56 2892803.67 3033844.00 3203116.00 32213454.00 312901.00 3156511.00 3042794.00 3177365.00 304754.00 2993634.00 3136622.00 3131914.00 3171661.00 307
ambc999.00 253999.00 262999.00 267999.00 209999.00 316999.00 262999.00 225999.00 308999.00 258999.00 238999.00 292999.00 289
OurMVSNet-221017-0999.00 233999.00 232999.00 253999.00 262999.00 267999.00 209999.00 316999.00 226999.00 262999.00 225999.00 308999.00 258999.00 238999.00 292999.00 289
EPMVS999.00 233999.00 232999.00 253999.00 262999.00 267999.00 209999.00 316999.00 226999.00 262999.00 225999.00 308999.00 258999.00 238999.00 292999.00 289
uanet_test1000.00 2351000.00 2341000.00 2561000.00 2651000.00 2701000.00 2121000.00 3191000.00 2281000.00 2651000.00 2281000.00 3111000.00 2611000.00 2411000.00 2951000.00 292
sosnet1000.00 2351000.00 2341000.00 2561000.00 2651000.00 2701000.00 2121000.00 3191000.00 2281000.00 2651000.00 2281000.00 3111000.00 2611000.00 2411000.00 2951000.00 292
USDC1000.00 2351000.00 2341000.00 2561000.00 2651000.00 2701000.00 2121000.00 3191000.00 2281000.00 2651000.00 2281000.00 3111000.00 2611000.00 2411000.00 2951000.00 292
TinyColmap1000.00 2351000.00 2341000.00 2561000.00 2651000.00 2701000.00 2121000.00 3191000.00 2281000.00 2651000.00 2281000.00 3111000.00 2611000.00 2411000.00 2951000.00 292
Patchmtry1090.75 2401198.88 242766.38 2511290.90 272485.90 2292423.98 2511267.30 3231297.17 237923.90 259923.40 2231215.54 316990.23 256667.90 223779.80 273823.02 271
PatchT856.34 227860.99 220842.38 2521290.90 272880.90 263790.30 1961267.30 323579.21 194923.90 259567.40 190662.54 295990.23 256887.56 233779.80 273656.02 257
LS3D7684.71 2908776.23 2934410.16 3065298.55 3235631.53 32534329.90 3231504.57 32511554.00 3273896.41 31915111.00 324812.19 3005985.63 3203516.20 2842963.23 3191613.31 305
CNLPA10738.67 29911772.44 3027637.33 3079120.00 3258206.00 32622252.00 3202010.00 32624984.00 3297458.00 32222596.00 3262940.00 32210260.00 32811100.00 3283492.00 3204446.00 318
GST-MVS4000.00 2844533.33 2852400.00 2952400.00 3042400.00 3107200.00 2782400.00 3277200.00 3132400.00 3157200.00 3032400.00 3212400.00 2907200.00 3142400.00 3182400.00 317
MVEpermissive10021.00 2210550.67 29810002.44 30112195.33 3156242.00 3248768.00 32730896.00 3224451.00 32810331.00 3266247.00 32118296.00 325283.00 25421484.00 3297364.00 3155912.00 3216334.00 319
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
LTVRE_ROB20565.47 2323378.08 30022805.00 30325097.33 31615500.00 33319201.00 33542712.00 3246055.00 32938388.00 33016926.00 33038534.00 3277071.00 32335653.00 33029475.00 33010584.00 32920438.00 328
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 30134443.44 30427094.33 31729249.00 33425246.00 33651144.00 3256705.00 33042886.00 33122888.00 33148534.00 32813263.00 33137507.00 33179298.00 33116024.00 33018530.00 327
ZNCC-MVS9999.00 2919999.00 2949999.00 3089999.00 3269999.00 3289999.00 2989999.00 3319999.00 3199999.00 3239999.00 3169999.00 3249999.00 3219999.00 3219999.00 3229999.00 320
patch_mono-210000.00 29210000.00 29510000.00 30910000.00 32710000.00 32910000.00 29910000.00 33210000.00 32010000.00 32410000.00 31710000.00 32510000.00 32210000.00 32210000.00 32310000.00 321
dcpmvs_210000.00 29210000.00 29510000.00 30910000.00 32710000.00 32910000.00 29910000.00 33210000.00 32010000.00 32410000.00 31710000.00 32510000.00 32210000.00 32210000.00 32310000.00 321
DCPMVS10000.00 29210000.00 29510000.00 30910000.00 32710000.00 32910000.00 29910000.00 33210000.00 32010000.00 32410000.00 31710000.00 32510000.00 32210000.00 32210000.00 32310000.00 321
UA-Net10000.00 29210000.00 29510000.00 30910000.00 32710000.00 32910000.00 29910000.00 33210000.00 32010000.00 32410000.00 31710000.00 32510000.00 32210000.00 32210000.00 32310000.00 321
uncertanet10000.00 29210000.00 29510000.00 30910000.00 32710000.00 32910000.00 29910000.00 33210000.00 32010000.00 32410000.00 31710000.00 32510000.00 32210000.00 32210000.00 32310000.00 321
uanet10000.00 29210000.00 29510000.00 30910000.00 32710000.00 32910000.00 29910000.00 33210000.00 32010000.00 32410000.00 31710000.00 32510000.00 32210000.00 32210000.00 32310000.00 321
114514_t99999.00 30299999.00 30599999.00 31899999.00 33599999.00 33799999.00 32699999.00 33899999.00 33299999.00 33299999.00 32999999.00 33299999.00 33299999.00 33299999.00 33199999.00 329
PHI-MVS99999.00 30299999.00 30599999.00 31899999.00 33599999.00 33799999.00 32699999.00 33899999.00 33299999.00 33299999.00 32999999.00 33299999.00 33299999.00 33299999.00 33199999.00 329
XVG-OURS-SEG-HR999999.00 306999999.00 307999999.00 320999999.00 337999999.00 339999999.00 328999999.00 340999999.00 334999999.00 334999999.00 331999999.00 334999999.00 334999999.00 334999999.00 333999999.00 331
XVG-OURS999999.00 306999999.00 307999999.00 320999999.00 337999999.00 339999999.00 328999999.00 340999999.00 334999999.00 334999999.00 331999999.00 334999999.00 334999999.00 334999999.00 333999999.00 331
XVG-ACMP-BASELINE999999.00 306999999.00 307999999.00 320999999.00 337999999.00 339999999.00 328999999.00 340999999.00 334999999.00 334999999.00 331999999.00 334999999.00 334999999.00 334999999.00 333999999.00 331
NormalMVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
lecture10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
SymmetryMVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
Elysia10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
StellarMVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
KinetiMVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
LuminaMVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
VortexMVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
AstraMVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
guyue10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
sc_t110000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
tt0320-xc10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
tt032010000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
MVSMamba_PlusPlus10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
MGCFI-Net10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
sasdasda10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
dmvs_re10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
SDMVSNet10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
dmvs_testset10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
sd_testset10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
balanced_conf0310000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
MonoMVSNet10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
test250610000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
test111110000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
ECVR-MVScopyleft10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
test_blank10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
tt080510000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
Anonymous2024052110000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
cl2210000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
miper_ehance_all_eth10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
miper_enhance_ethall10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
cl____10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
DIV-MVS_self_test10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
eth_miper_zixun_eth10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
ET-MVSNet_ETH3D10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
UniMVSNet_ETH3D10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
miper_lstm_enhance10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
D2MVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
test_yl10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
thisisatest053010000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
Anonymous2024052910000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
Anonymous20240521110000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
DCV-MVSNet10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
tttt051710000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
our_test_310000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
thisisatest051510000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
ppachtmachnet_test10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
SMA-MVScopyleft10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology
DPE-MVScopyleft10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
tfpnnormal10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
tfpn200view910000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
c3_l10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
IterMVS-SCA-FT10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
MTGPAbinary10000000.00 343
pmmvs610000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
pmmvs510000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
Anonymous2023121110000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
pmmvs-eth3d10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
Anonymous2023120610000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
MTAPA833442.10 3051111233.77 31167.09 16165.59 16864.81 171284.50 17010000000.00 343219.97 17359.62 169229.89 17712.72 162103.00 182203.67 18327.93 16233.46 161
MTMP10000000.00 33110000000.00 343
SCA10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
Patchmatch-test10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
Patchmatch-RL test10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
canonicalmvs10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
anonymousdsp10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
FIs10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
FC-MVSNet-test10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
sosnet-low-res10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
AllTest10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
TestCases10000000.00 32310000000.00 34010000000.00 34210000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
RRT-MVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
mamv410000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
HPM-MVS++copyleft10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
XVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
pm-mvs110000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
X-MVStestdata10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
APDe-MVScopyleft10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
pmmvs410000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
test-LLR10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
TESTMET0.1,110000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
test-mter10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
testgi10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
test20.0310000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
thres600view710000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
MP-MVScopyleft10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
thres40010000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
test12310000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
thres20010000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
test0.0.03 110000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
pmmvs310000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
EMVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
E-PMN10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
PGM-MVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
MCST-MVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
MVS_Test10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
PMMVS210000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
PM-MVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
HQP_MVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
plane_prior510000000.00 34310000000.00 33710000000.00 33710000000.00 33610000000.00 334
mPP-MVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
mvsmamba10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
HPM-MVS_fast10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
HPM-MVScopyleft10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
LGP-MVS_train10000000.00 32310000000.00 34010000000.00 34210000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
EPNet_dtu10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP3-MVS10000000.00 34310000000.00 336
CNVR-MVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
NCCC10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
CP-MVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
CPTT-MVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
HQP-MVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
IS-MVSNet10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
PAPM_NR10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
PAPR10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
Vis-MVSNet (Re-imp)10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
PatchMatch-RL10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
TDRefinement10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
EPP-MVSNet10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
PMMVS10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
PAPM10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
ACMMPcopyleft10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
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 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
wuyk23d10000000.00 30910000000.00 31210000000.00 32310000000.00 34010000000.00 34210000000.00 33110000000.00 34310000000.00 33710000000.00 33710000000.00 33410000000.00 33710000000.00 33710000000.00 33710000000.00 33610000000.00 334
APD-MVScopyleft1000000000.00 4311000000000.00 4341000000000.00 4471000000000.00 4721000000000.00 4721000000000.00 4581000000000.00 4721000000000.00 4651000000000.00 4661000000000.00 4631000000000.00 4681000000000.00 4661000000000.00 4651000000000.00 4641000000000.00 462
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
WAC-MVS248.46 201422.23 194
PC_three_14527619.38 3142107.24 3077416.93 305610.24 2853088.29 3086075.14 3081078.39 3001159.26 298
eth-test21.42 94
eth-test10000000.00 340
OPU-MVS2451.45 3002725.60 3132598.35 3179203.30 2936894.28 299887.23 3033023.43 3045973.88 3041620.04 3121732.56 308
test_0728_THIRD5016.02 2891363.85 2814894.28 287387.23 2662023.43 2823973.88 287620.04 258732.56 263
GSMVS10000000.00 334
test_part210000000.00 34010000000.00 34210000000.00 337
sam_mvs110000000.00 33710000000.00 334
sam_mvs10000000.00 337
test_post110000000.00 33110000000.00 33410000000.00 33710000000.00 33710000000.00 337
test_post10000000.00 33410000000.00 33710000000.00 337
patchmatchnet-post10000000.00 33410000000.00 33710000000.00 337
gm-plane-assit611.29 237600.33 245579.21 194567.40 190531.67 225503.93 201
test9_res0.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
test_prior40.00 10.00 1
test_prior20.00 10.00 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
原ACMM20.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
testdata10.00 10.00 1
plane_prior710000000.00 34010000000.00 342
plane_prior610000000.00 34010000000.00 34210000000.00 337
plane_prior410000000.00 334
plane_prior310000000.00 34210000000.00 33710000000.00 337
plane_prior210000000.00 33110000000.00 337
plane_prior110000000.00 340
plane_prior1.00 882.00 1262.00 1272.00 125
HQP5-MVS10000000.00 342
HQP-NCC10000000.00 34010000000.00 33110000000.00 33710000000.00 337
ACMP_Plane10000000.00 34010000000.00 33110000000.00 33710000000.00 337
BP-MVS10000000.00 337
HQP4-MVS10000000.00 33710000000.00 33710000000.00 334
HQP2-MVS10000000.00 337
NP-MVS10000000.00 34010000000.00 34210000000.00 334
MDTV_nov1_ep13_2view9.99 1489.99 1469.99 1479.99 1469.99 1489.99 1449.99 147
ACMMP++_ref10000000.00 336
ACMMP++10000000.00 336
Test By Simon990.00 307