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 bysort bysorted bysort bysort bysort bysort bysort bysort bysort by
diffmvs_AUTHOR0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_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
viewmambaseed2359dif0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmanbaseed2359cas0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
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
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_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
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
testdata10.00 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
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-mvs330.30 500.30 510.30 550.30 620.30 620.30 620.30 630.30 620.30 610.30 590.30 610.30 620.30 600.30 600.30 60
hse-mvs20.30 500.30 510.30 550.30 620.30 620.30 620.30 630.30 620.30 610.30 590.30 610.30 620.30 600.30 600.30 60
CL-MVSNet_self_test0.30 500.30 510.30 550.30 620.30 620.30 620.30 630.30 620.30 610.30 590.30 610.30 620.30 600.30 600.30 60
AUN-MVS0.30 500.30 510.30 550.30 620.30 620.30 620.30 630.30 620.30 610.30 590.30 610.30 620.30 600.30 600.30 60
LCM-MVSNet0.37 540.36 550.37 590.37 660.37 660.37 660.32 670.37 660.37 650.37 630.37 650.37 660.37 640.37 640.37 64
v1441920.40 550.40 560.40 600.40 670.40 670.40 670.40 690.40 670.40 660.40 640.40 660.40 670.40 650.40 650.40 65
v19219200.40 550.40 560.40 600.40 670.40 670.40 670.40 690.40 670.40 660.40 640.40 660.40 670.40 650.40 650.40 65
v11920.40 550.40 560.40 600.40 670.40 670.40 670.40 690.40 670.40 660.40 640.40 660.40 670.40 650.40 650.40 65
v11440.40 550.40 560.40 600.40 670.40 670.40 670.40 690.40 670.40 660.40 640.40 660.40 670.40 650.40 650.40 65
v1480.40 550.40 560.40 600.40 670.40 670.40 670.40 690.40 670.40 660.40 640.40 660.40 670.40 650.40 650.40 65
v7n0.40 550.40 560.40 600.40 670.40 670.40 670.40 690.40 670.40 660.40 640.40 660.40 670.40 650.40 650.40 65
v12400.40 550.40 560.40 600.40 670.40 670.40 670.40 690.40 670.40 660.40 640.40 660.40 670.40 650.40 650.40 65
v80.40 550.40 560.40 600.40 670.40 670.40 670.40 690.40 670.40 660.40 640.40 660.40 670.40 650.40 650.40 65
v100.40 550.40 560.40 600.40 670.40 670.40 670.40 690.40 670.40 660.40 640.40 660.40 670.40 650.40 650.40 65
v2v4820.40 550.40 560.40 600.40 670.40 670.40 670.40 690.40 670.40 660.40 640.40 660.40 670.40 650.40 650.40 65
V420.40 550.40 560.40 600.40 670.40 670.40 670.40 690.40 670.40 660.40 640.40 660.40 670.40 650.40 650.40 65
GA-MVS0.40 550.40 560.40 600.40 670.40 670.40 670.40 690.40 670.40 660.40 640.40 660.40 670.40 650.40 650.40 65
Fast-Effi-MVS+0.41 670.40 560.41 720.41 790.41 790.41 790.35 680.41 790.41 780.41 760.41 780.41 790.41 770.41 770.41 77
Fast-Effi-MVS+-dtu0.44 680.44 690.44 730.44 800.44 800.44 800.44 810.44 800.44 790.44 770.44 790.44 800.44 780.44 780.44 78
Effi-MVS+0.58 690.56 700.62 760.53 810.62 830.53 810.53 820.53 810.62 820.62 800.53 800.62 830.62 800.53 790.62 81
KD-MVS_self_test0.60 710.60 710.60 750.60 820.60 820.60 830.60 830.60 820.60 810.60 790.60 810.60 820.60 790.60 810.60 80
EIA-MVS0.62 720.62 730.62 760.62 830.62 830.62 840.62 840.62 830.62 820.62 800.62 820.62 830.62 800.62 820.62 81
ETV-MVS0.62 720.62 730.62 760.62 830.62 830.62 840.62 840.62 830.62 820.62 800.62 820.62 830.62 800.62 820.62 81
CS-MVS0.62 720.62 730.62 760.62 830.62 830.62 840.62 840.62 830.62 820.62 800.62 820.62 830.62 800.62 820.62 81
SPE-MVS-test0.62 720.62 730.62 760.62 830.62 830.62 840.62 840.62 830.62 820.62 800.62 820.62 830.62 800.62 820.62 81
EC-MVSNet0.62 720.62 730.62 760.62 830.62 830.62 840.62 840.62 830.62 820.62 800.62 820.62 830.62 800.62 820.62 81
Effi-MVS+-dtu0.59 700.61 720.53 740.68 880.53 810.53 810.68 890.68 880.53 800.53 780.68 870.53 810.68 860.53 790.53 79
CDS-MVSNet0.88 770.88 780.88 820.88 890.88 890.88 890.88 900.88 890.88 880.88 860.88 880.88 890.88 870.88 870.88 87
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 770.88 780.88 820.88 890.88 890.88 890.88 900.88 890.88 880.88 860.88 880.88 890.88 870.88 870.88 87
LCM-MVSNet-Re0.89 790.89 800.89 840.89 910.89 910.89 910.89 920.89 910.89 900.89 880.89 900.89 910.89 890.89 890.89 89
DeepMVS_CXcopyleft1.00 851.00 921.00 921.00 931.00 921.00 911.00 891.00 911.00 921.00 901.00 901.00 90
MDA-MVSNet-bldmvs1.20 801.20 811.20 861.20 931.20 941.20 921.20 951.20 931.20 921.20 901.20 921.20 931.20 911.20 911.20 91
YYNet11.20 801.20 811.20 861.20 931.20 941.20 921.20 951.20 931.20 921.20 901.20 921.20 931.20 911.20 911.20 91
MDA-MVSNet_test_wron1.20 801.20 811.20 861.20 931.20 941.20 921.20 951.20 931.20 921.20 901.20 921.20 931.20 911.20 911.20 91
KD-MVS_2432*16001.30 831.30 841.30 891.30 961.30 971.30 951.30 981.30 961.30 951.30 931.30 951.30 961.30 941.30 941.30 94
miper_refine_blended1.30 831.30 841.30 891.30 961.30 971.30 951.30 981.30 961.30 951.30 931.30 951.30 961.30 941.30 941.30 94
EI-MVSNet-UG-set1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
EI-MVSNet-Vis-set1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
EI-MVSNet1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
Regformer1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
CVMVSNet1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
EU-MVSNet1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
PS-CasMVS1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
UniMVSNet_NR-MVSNet1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
PEN-MVS1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
TransMVSNet (Re)1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
DTE-MVSNet1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
DU-MVS1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
UniMVSNet (Re)1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
CP-MVSNet1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
WR-MVS_H1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
WR-MVS1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
NR-MVSNet1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
Baseline_NR-MVSNet1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
TranMVSNet+NR-MVSNet1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
MVSFormer1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
jason1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
jason: jason.
lupinMVS1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
test_djsdf1.42 851.42 861.42 911.42 981.42 991.42 971.42 1001.42 981.42 971.42 951.42 971.42 981.42 961.42 961.42 96
reproduce_monomvs1.48 1081.48 1091.48 1141.48 1221.48 1221.48 1201.48 1251.48 1211.48 1201.48 1181.48 1201.48 1211.48 1191.48 1191.48 119
mmtdpeth1.48 1081.48 1091.48 1141.48 1221.48 1221.48 1201.48 1251.48 1211.48 1201.48 1181.48 1201.48 1211.48 1191.48 1191.48 119
reproduce_model1.48 1081.48 1091.48 1141.48 1221.48 1221.48 1201.48 1251.48 1211.48 1201.48 1181.48 1201.48 1211.48 1191.48 1191.48 119
reproduce-ours1.48 1081.48 1091.48 1141.48 1221.48 1221.48 1201.48 1251.48 1211.48 1201.48 1181.48 1201.48 1211.48 1191.48 1191.48 119
our_new_method1.48 1081.48 1091.48 1141.48 1221.48 1221.48 1201.48 1251.48 1211.48 1201.48 1181.48 1201.48 1211.48 1191.48 1191.48 119
mmdepth1.48 1081.48 1091.48 1141.48 1221.48 1221.48 1201.48 1251.48 1211.48 1201.48 1181.48 1201.48 1211.48 1191.48 1191.48 119
monomultidepth1.48 1081.48 1091.48 1141.48 1221.48 1221.48 1201.48 1251.48 1211.48 1201.48 1181.48 1201.48 1211.48 1191.48 1191.48 119
mvs5depth1.48 1081.48 1091.48 1141.48 1221.48 1221.48 1201.48 1251.48 1211.48 1201.48 1181.48 1201.48 1211.48 1191.48 1191.48 119
MVStest11.48 1081.48 1091.48 1141.48 1221.48 1221.48 1201.48 1251.48 1211.48 1201.48 1181.48 1201.48 1211.48 1191.48 1191.48 119
ttmdpeth1.48 1081.48 1091.48 1141.48 1221.48 1221.48 1201.48 1251.48 1211.48 1201.48 1181.48 1201.48 1211.48 1191.48 1191.48 119
alignmvs2.00 1182.00 1192.00 1242.00 1322.00 1322.00 1302.00 1352.00 1312.00 1302.00 1282.00 1302.00 1312.00 1292.00 1292.00 129
nrg0302.00 1182.00 1192.00 1242.00 1322.00 1322.00 1302.00 1352.00 1312.00 1302.00 1282.00 1302.00 1312.00 1292.00 1292.00 129
LFMVS2.00 1182.00 1192.00 1242.00 1322.00 1322.00 1302.00 1352.00 1312.00 1302.00 1282.00 1302.00 1312.00 1292.00 1292.00 129
VDD-MVS2.00 1182.00 1192.00 1242.00 1322.00 1322.00 1302.00 1352.00 1312.00 1302.00 1282.00 1302.00 1312.00 1292.00 1292.00 129
VDDNet2.00 1182.00 1192.00 1242.00 1322.00 1322.00 1302.00 1352.00 1312.00 1302.00 1282.00 1302.00 1312.00 1292.00 1292.00 129
VPNet2.00 1182.00 1192.00 1242.00 1322.00 1322.00 1302.00 1352.00 1312.00 1302.00 1282.00 1302.00 1312.00 1292.00 1292.00 129
VNet2.00 1182.00 1192.00 1242.00 1322.00 1322.00 1302.00 1352.00 1312.00 1302.00 1282.00 1302.00 1312.00 1292.00 1292.00 129
VPA-MVSNet2.00 1182.00 1192.00 1242.00 1322.00 1322.00 1302.00 1352.00 1312.00 1302.00 1282.00 1302.00 1312.00 1292.00 1292.00 129
plane_prior1.00 922.00 1302.00 1312.00 129
cascas2.00 1182.00 1192.00 1242.00 1322.00 1322.00 1302.00 1352.00 1312.00 1302.00 1282.00 1302.00 1312.00 1292.00 1292.00 129
UnsupCasMVSNet_eth5.90 1275.90 1285.90 1335.90 1415.90 1415.90 1405.90 1475.90 1415.90 1395.90 1375.90 1415.90 1405.90 1385.90 1415.90 141
UnsupCasMVSNet_bld5.90 1275.90 1285.90 1335.90 1415.90 1415.90 1405.90 1475.90 1415.90 1395.90 1375.90 1415.90 1405.90 1385.90 1415.90 141
WTY-MVS5.90 1275.90 1285.90 1335.90 1415.90 1415.90 1405.90 1475.90 1415.90 1395.90 1375.90 1415.90 1405.90 1385.90 1415.90 141
HY-MVS5.90 15.90 1275.90 1285.90 1335.90 1415.90 1415.90 1405.90 1475.90 1415.90 1395.90 1375.90 1415.90 1405.90 1385.90 1415.90 141
sss5.90 1275.90 1285.90 1335.90 1415.90 1415.90 1405.90 1475.90 1415.90 1395.90 1375.90 1415.90 1405.90 1385.90 1415.90 141
Test_1112_low_res5.90 1275.90 1285.90 1335.90 1415.90 1415.90 1405.90 1475.90 1415.90 1395.90 1375.90 1415.90 1405.90 1385.90 1415.90 141
1112_ss5.90 1275.90 1285.90 1335.90 1415.90 1415.90 1405.90 1475.90 1415.90 1395.90 1375.90 1415.90 1405.90 1385.90 1415.90 141
ab-mvs-re5.90 1275.90 1285.90 1335.90 1415.90 1415.90 1405.90 1475.90 1415.90 1395.90 1375.90 1415.90 1405.90 1385.90 1415.90 141
ab-mvs5.90 1275.90 1285.90 1335.90 1415.90 1415.90 1405.90 1475.90 1415.90 1395.90 1375.90 1415.90 1405.90 1385.90 1415.90 141
CDPH-MVS6.66 1366.66 1376.66 1426.66 1506.66 1506.66 1496.66 1566.66 1506.66 1486.66 1466.66 1506.66 1496.66 1476.66 1506.66 150
MDTV_nov1_ep13_2view9.99 1529.99 1509.99 1519.99 1509.99 1529.99 1489.99 151
MDTV_nov1_ep139.99 1389.99 1519.99 1529.99 1509.99 1589.99 1519.99 1509.99 1479.99 1529.99 1519.99 1489.99 152
xiu_mvs_v1_base_debu10.28 13710.28 13910.28 14410.28 15210.28 15410.28 15210.28 15910.28 15310.28 15210.28 14810.28 15410.28 15210.28 15010.28 15310.28 152
xiu_mvs_v2_base10.28 13710.28 13910.28 14410.28 15210.28 15410.28 15210.28 15910.28 15310.28 15210.28 14810.28 15410.28 15210.28 15010.28 15310.28 152
xiu_mvs_v1_base10.28 13710.28 13910.28 14410.28 15210.28 15410.28 15210.28 15910.28 15310.28 15210.28 14810.28 15410.28 15210.28 15010.28 15310.28 152
xiu_mvs_v1_base_debi10.28 13710.28 13910.28 14410.28 15210.28 15410.28 15210.28 15910.28 15310.28 15210.28 14810.28 15410.28 15210.28 15010.28 15310.28 152
cdsmvs_eth3d_5k10.28 13710.28 13910.28 14410.28 15210.28 15410.28 15210.28 15910.28 15310.28 15210.28 14810.28 15410.28 15210.28 15010.28 15310.28 152
pcd_1.5k_mvsjas10.28 13710.28 13910.28 14410.28 15210.28 15410.28 15210.28 15910.28 15310.28 15210.28 14810.28 15410.28 15210.28 15010.28 15310.28 152
PS-MVSNAJss10.28 13710.28 13910.28 14410.28 15210.28 15410.28 15210.28 15910.28 15310.28 15210.28 14810.28 15410.28 15210.28 15010.28 15310.28 152
PS-MVSNAJ10.28 13710.28 13910.28 14410.28 15210.28 15410.28 15210.28 15910.28 15310.28 15210.28 14810.28 15410.28 15210.28 15010.28 15310.28 152
jajsoiax10.28 13710.28 13910.28 14410.28 15210.28 15410.28 15210.28 15910.28 15310.28 15210.28 14810.28 15410.28 15210.28 15010.28 15310.28 152
mvs_tets10.28 13710.28 13910.28 14410.28 15210.28 15410.28 15210.28 15910.28 15310.28 15210.28 14810.28 15410.28 15210.28 15010.28 15310.28 152
SR-MVS-dyc-post11.55 14711.55 14911.55 15611.55 16311.55 16511.55 16211.55 17111.55 16311.55 16311.55 15811.55 16511.55 16211.55 16011.55 16311.55 162
XXY-MVS15.00 14815.00 15015.00 15715.00 16415.00 16715.00 16315.00 17315.00 16415.00 16515.00 15915.00 16915.00 16415.00 16215.00 16515.00 164
GeoE19.41 15022.09 15211.37 15517.21 16611.30 16450.50 1684.30 14633.60 16511.70 16444.50 1657.30 15118.90 16522.60 1637.10 1513.90 138
test_method18.29 14920.89 15110.50 15415.00 16413.00 16655.00 1693.00 14534.00 16611.50 16232.50 1605.00 14013.50 16327.00 1645.00 1405.00 140
BH-w/o40.00 15140.00 15340.00 15940.00 16740.00 16840.00 16440.00 19240.00 16740.00 16740.00 16140.00 18640.00 16740.00 16540.00 17940.00 175
BH-untuned40.00 15140.00 15340.00 15940.00 16740.00 16840.00 16440.00 19240.00 16740.00 16740.00 16140.00 18640.00 16740.00 16540.00 17940.00 175
BH-RMVSNet40.00 15140.00 15340.00 15940.00 16740.00 16840.00 16440.00 19240.00 16740.00 16740.00 16140.00 18640.00 16740.00 16540.00 17940.00 175
TR-MVS40.00 15140.00 15340.00 15940.00 16740.00 16840.00 16440.00 19240.00 16740.00 16740.00 16140.00 18640.00 16740.00 16540.00 17940.00 175
GBi-Net44.67 15549.24 15730.96 15847.53 17147.57 172126.09 1708.00 15776.99 17126.09 16673.50 16711.27 16430.55 16661.12 16912.58 16414.75 163
new_pmnet88.14 15798.62 15856.70 16398.14 17856.07 173246.79 17215.37 174148.06 17250.77 171143.13 16823.35 17062.65 17193.26 17068.71 18951.38 185
N_pmnet88.14 15798.62 15856.70 16398.14 17856.07 173246.79 17215.37 174148.06 17250.77 171143.13 16823.35 17062.65 17193.26 17068.71 18951.38 185
CANet110.62 159124.04 16170.34 16682.03 17574.27 178325.54 17825.25 177207.16 17469.28 176194.38 17127.53 17295.79 180147.76 17437.43 16940.97 179
CANet_DTU110.62 159124.04 16170.34 16682.03 17574.27 178325.54 17825.25 177207.16 17469.28 176194.38 17127.53 17295.79 180147.76 17437.43 16940.97 179
UGNet110.62 159124.04 16170.34 16682.03 17574.27 178325.54 17825.25 177207.16 17469.28 176194.38 17127.53 17295.79 180147.76 17437.43 16940.97 179
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
MTAPA833442.10 3091111233.77 31567.09 16565.59 17264.81 175284.50 17410000000.00 347219.97 17759.62 173229.89 18112.72 166103.00 186203.67 18727.93 16633.46 165
MP-MVS-pluss833433.63 3081111219.60 31475.70 16974.28 17373.29 176284.50 17411.35 169238.58 17865.86 174255.35 18614.55 167115.69 18810000000.00 34131.94 16738.12 173
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 162133.18 16475.70 16974.28 17373.29 176284.50 17411.35 169238.58 17865.86 174255.35 18614.55 167115.69 188222.18 18831.94 16738.12 173
PVSNet_Blended_VisFu136.90 171155.40 17381.40 178111.00 18896.20 182407.00 18825.90 180251.60 18085.10 186240.50 18237.00 18299.90 183199.80 18440.70 18348.10 182
PVSNet_BlendedMVS136.90 171155.40 17381.40 178111.00 18896.20 182407.00 18825.90 180251.60 18085.10 186240.50 18237.00 18299.90 183199.80 18440.70 18348.10 182
PVSNet_Blended136.90 171155.40 17381.40 178111.00 18896.20 182407.00 18825.90 180251.60 18085.10 186240.50 18237.00 18299.90 183199.80 18440.70 18348.10 182
FMVSNet5124.76 163140.93 16576.26 171107.44 181100.17 185329.88 18127.12 183259.44 18374.30 179204.34 17430.74 17592.41 173196.98 17738.15 17236.19 166
test1124.76 163140.93 16576.26 171107.44 181100.17 185329.88 18127.12 183259.44 18374.30 179204.34 17430.74 17592.41 173196.98 17738.15 17236.19 166
FMVSNet3124.76 163140.93 16576.26 171107.44 181100.17 185329.88 18127.12 183259.44 18374.30 179204.34 17430.74 17592.41 173196.98 17738.15 17236.19 166
FMVSNet2124.76 163140.93 16576.26 171107.44 181100.17 185329.88 18127.12 183259.44 18374.30 179204.34 17430.74 17592.41 173196.98 17738.15 17236.19 166
FMVSNet1124.76 163140.93 16576.26 171107.44 181100.17 185329.88 18127.12 183259.44 18374.30 179204.34 17430.74 17592.41 173196.98 17738.15 17236.19 166
MIMVSNet1124.76 163140.93 16576.26 171107.44 181100.17 185329.88 18127.12 183259.44 18374.30 179204.34 17430.74 17592.41 173196.98 17738.15 17236.19 166
MIMVSNet124.76 163140.93 16576.26 171107.44 181100.17 185329.88 18127.12 183259.44 18374.30 179204.34 17430.74 17592.41 173196.98 17738.15 17236.19 166
DSMNet-mixed131.33 170143.00 17296.33 18199.00 18081.00 181201.00 17145.00 197335.00 19099.00 189251.00 18538.00 185110.00 187120.00 17399.00 19598.00 191
BP-MVS1202.65 174232.15 176114.16 182183.40 192141.78 192655.87 19624.69 176372.56 191109.76 190356.89 18847.15 190139.51 190284.15 19054.86 18661.20 187
FE-MVS207.10 175234.26 177125.61 183180.34 191153.23 193635.64 19530.05 190378.38 192127.68 191377.08 18948.95 191154.43 191266.67 18963.56 18769.18 188
GDP-MVS219.79 176249.11 178131.85 184187.15 193155.97 194667.31 19730.57 191398.95 193131.26 192387.86 19058.83 193164.55 192315.00 19165.03 18875.04 189
DP-MVS264.78 178296.02 180171.04 187191.70 194183.96 196827.10 20478.36 208438.24 194176.64 195435.12 19165.04 195230.52 197334.02 193117.96 20398.64 192
FA-MVS(test-final)261.15 177293.29 179164.72 185236.23 196199.99 199800.05 20342.35 196475.87 195155.47 193470.67 19258.49 192205.24 194319.44 19281.03 19288.93 190
dp87.20 156113.80 1607.42 14310.50 1628.88 151298.82 1772.70 144510.35 1967.79 149172.93 1703.37 1399.16 15014.00 1613.71 1394.23 139
kuosan267.89 179301.05 181168.41 186244.05 197177.28 195667.98 19865.76 199533.41 197157.79 194492.01 193104.69 208226.72 195364.47 19579.31 191101.21 193
gm-plane-assit611.29 241600.33 249579.21 198567.40 194531.67 229503.93 205
gg-mvs-nofinetune594.69 207605.37 209562.67 237617.29 245500.33 235772.30 199413.12 280579.21 198552.71 244567.40 194662.54 299531.67 229503.93 205779.80 277656.02 261
CR-MVSNet612.36 209617.81 212596.01 240611.29 241600.33 249790.30 200513.12 295579.21 198552.71 244567.40 194662.54 299531.67 229503.93 205779.80 277656.02 261
PatchT856.34 231860.99 224842.38 2561290.90 276880.90 267790.30 2001267.30 327579.21 198923.90 263567.40 194662.54 299990.23 260887.56 237779.80 277656.02 261
SSC-MVS320.23 181364.09 183188.66 188260.78 199193.84 197975.93 21273.11 204596.72 202185.29 196589.02 19974.47 197246.01 198427.42 19994.06 194126.12 196
WB-MVS316.44 180357.41 182193.51 189257.06 198213.32 202914.45 20649.03 198600.77 203186.42 197634.00 20575.03 198251.35 199411.39 19688.55 193115.87 195
RE-MVS-def610.10 210610.10 239610.10 252610.10 193610.10 304610.10 204610.10 251610.10 200610.10 287610.10 219610.10 260610.10 258
SR-MVS610.10 208610.10 210610.10 242610.10 239610.10 252610.10 193610.10 304610.10 204610.10 251610.10 200610.10 287610.10 245610.10 219610.10 260610.10 258
dongtai360.45 185401.64 187236.89 195303.10 206262.16 210963.12 20972.78 202622.82 206199.37 199708.06 208130.96 216310.90 205506.46 209108.11 196137.60 203
UWE-MVS387.98 188438.66 191235.93 193349.32 212257.61 2081081.50 22082.45 212637.74 207257.12 206738.54 210134.25 217308.00 203531.93 212135.11 206142.17 204
testing91347.05 183389.92 185218.43 192275.92 203241.43 204923.71 20871.70 200667.65 208217.04 202629.00 203113.33 212281.39 202495.50 202115.45 199132.47 199
testing11348.86 184393.09 186216.15 191275.24 202239.53 203915.55 20772.35 201679.89 209215.75 201633.79 204118.08 213276.62 201509.56 210117.61 202132.30 198
UWE-MVS-28327.73 182369.67 184201.90 190281.09 205210.75 200832.98 20574.67 207680.98 210198.23 198613.42 202112.56 211259.80 200418.76 197114.35 197135.15 202
RPSCF394.81 190445.63 192242.35 196276.55 204253.63 2061207.27 22890.69 217715.56 211241.57 205684.87 206111.96 210320.02 207548.38 214133.81 205153.39 208
testing3418.10 193469.06 195265.23 203335.69 210290.63 2131240.88 22993.72 218717.99 212215.31 200811.97 221232.41 255358.74 211458.67 200114.88 198146.32 205
testing99408.82 192462.15 194248.86 199322.45 209269.42 2111118.93 22373.26 205719.36 213262.28 207772.10 212150.98 223327.08 208601.98 218137.99 207150.07 206
EG-PatchMatch MVS437.03 196493.12 200268.77 204264.80 201260.20 2091491.80 23598.00 222723.20 214238.80 204722.40 20963.10 194382.00 217629.00 222207.00 229164.10 212
Syy-MVS370.76 186415.60 189236.25 194310.54 207210.76 201965.13 21098.58 223746.06 215266.26 209788.85 21591.37 202364.76 213357.17 194116.42 200133.22 200
myMVS_eth3d390.90 189437.44 190251.28 200310.54 207255.86 207965.13 21098.58 223746.06 215266.26 209788.85 215154.95 224364.76 213490.19 201116.42 200133.22 200
tmp_tt371.08 187412.78 188246.00 198231.00 195197.00 1981293.00 231376.00 272756.00 217609.00 25071.00 166106.00 209195.00 193102.00 172171.00 220346.00 246
WB-MVSnew404.84 191458.00 193245.36 197374.70 216320.27 2181193.74 22772.90 203773.77 218238.30 203688.22 20790.05 201308.59 204532.76 213157.54 214107.21 194
DP-MVS Recon516.25 206581.17 207321.48 215361.02 213429.00 2311995.36 24378.48 209796.20 219283.32 215796.02 21796.78 203382.98 218636.72 224186.66 226152.46 207
MVP-Stereo473.58 200533.67 202293.33 207376.00 217318.00 2151461.00 23396.00 219835.00 220290.00 216804.00 21897.00 204383.00 219688.00 230156.00 211179.00 214
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 200533.67 202293.33 207376.00 217318.00 2151461.00 23396.00 219835.00 220290.00 216804.00 21897.00 204383.00 219688.00 230156.00 211179.00 214
testing222430.52 195487.50 199259.56 202379.87 220282.69 2121138.34 22481.30 210880.86 222281.58 212834.27 223135.83 219333.22 209514.90 211140.56 208162.76 209
ADS-MVSNet2443.33 197482.84 197324.79 216434.94 229387.73 2271110.57 22187.69 214887.02 223282.92 213779.29 21398.57 206422.76 225502.40 203162.19 218163.87 210
ADS-MVSNet443.33 197482.84 197324.79 216434.94 229387.73 2271110.57 22187.69 214887.02 223282.92 213779.29 21398.57 206422.76 225502.40 203162.19 218163.87 210
ETVMVS443.50 199498.07 201279.78 205378.05 219321.57 2191163.68 22587.12 213897.50 225269.81 211822.83 222141.20 222334.53 210568.21 217154.21 209183.26 216
myMVS_eth3d28418.40 194473.07 196254.39 201261.18 200313.04 2141172.79 22674.16 206929.18 226264.68 208745.72 211139.03 221318.91 206549.18 215121.71 204131.21 197
testing3-2489.51 202555.88 205290.42 206362.21 214319.27 2171424.84 23288.81 216964.80 227309.62 219879.13 225174.38 231363.98 212643.82 226155.29 210188.01 217
DELS-MVS514.57 205587.73 208295.12 209343.03 211328.09 2221540.48 237116.22 231988.59 228325.44 223906.22 226119.86 215365.72 215788.60 234161.09 217191.55 220
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
tpmvs501.65 204567.42 206304.33 210395.39 224356.32 2241512.04 236216.53 259994.15 229350.16 225804.16 220119.38 214380.98 216555.14 216159.87 216175.69 213
OurMVSNet-221017-0999.00 237999.00 236999.00 257999.00 266999.00 271999.00 213999.00 320999.00 230999.00 266999.00 229999.00 312999.00 262999.00 242999.00 296999.00 293
EPMVS999.00 237999.00 236999.00 257999.00 266999.00 271999.00 213999.00 320999.00 230999.00 266999.00 229999.00 312999.00 262999.00 242999.00 296999.00 293
uanet_test1000.00 2391000.00 2381000.00 2601000.00 2691000.00 2741000.00 2161000.00 3231000.00 2321000.00 2691000.00 2321000.00 3151000.00 2651000.00 2451000.00 2991000.00 296
sosnet1000.00 2391000.00 2381000.00 2601000.00 2691000.00 2741000.00 2161000.00 3231000.00 2321000.00 2691000.00 2321000.00 3151000.00 2651000.00 2451000.00 2991000.00 296
USDC1000.00 2391000.00 2381000.00 2601000.00 2691000.00 2741000.00 2161000.00 3231000.00 2321000.00 2691000.00 2321000.00 3151000.00 2651000.00 2451000.00 2991000.00 296
TinyColmap1000.00 2391000.00 2381000.00 2601000.00 2691000.00 2741000.00 2161000.00 3231000.00 2321000.00 2691000.00 2321000.00 3151000.00 2651000.00 2451000.00 2991000.00 296
PatchmatchNetpermissive492.52 203551.22 204316.40 214400.20 225357.90 2251277.10 230115.80 2301034.60 236315.90 220874.00 224155.10 225402.20 222629.50 223158.80 215189.10 218
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
ACMH+729.97 2661.38 213754.00 215383.51 219368.96 215376.38 2262483.74 25782.42 2111089.25 237333.39 2241219.68 24266.53 196573.60 242957.86 240184.14 225200.56 223
IterMVS615.05 210691.66 213385.23 220516.40 232454.80 2321863.80 241102.10 2271142.20 238364.10 2261093.20 240135.00 218480.40 228826.90 235181.20 223220.50 224
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 211700.96 214362.78 218426.10 228409.25 2291822.69 240124.42 2421186.23 239366.85 2271079.42 238190.60 243451.78 227930.72 239181.59 224227.30 225
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
Gipumacopyleft689.75 216767.00 216458.00 229613.00 244549.00 2471943.00 242187.00 2561230.00 240518.00 2411092.00 239203.00 249564.00 234892.00 238225.00 239261.00 233
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
JIA-IIPM804.30 228835.64 221710.26 251885.90 261895.90 269455.98 191668.73 3091297.17 2411002.26 2731001.67 236655.98 297756.98 252667.90 227885.21 289477.90 255
Patchmtry1090.75 2441198.88 246766.38 2551290.90 276485.90 2332423.98 2551267.30 3271297.17 241923.90 263923.40 2271215.54 320990.23 260667.90 227779.80 277823.02 275
RPMNet787.26 227829.13 220661.63 246885.90 261895.90 269455.98 191610.10 3041297.17 2411002.26 2731001.67 236655.98 297611.10 246667.90 227885.21 289477.90 255
IterMVS-LS758.94 217856.56 222466.10 230606.60 237546.80 2452309.90 246122.20 2411402.80 244463.50 2311348.20 244192.60 244574.60 2431028.60 250234.60 241276.90 235
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
SixPastTwentyTwo773.62 219869.37 225486.35 232603.45 236547.15 2462532.14 258106.92 2291434.95 245428.08 2291360.56 245165.15 229628.96 248984.09 241209.01 231282.94 236
new-patchmatchnet766.12 218859.03 223487.38 233595.68 234536.14 2372346.27 247142.51 2471488.08 246422.43 2281361.32 246163.65 228628.60 2471003.74 249207.61 230297.41 239
mvs_anonymous774.90 220882.28 226452.77 222636.50 246537.20 2382348.80 248120.30 2341504.30 247474.40 2321371.10 247186.90 234564.70 2351078.90 252219.30 232256.40 226
casdiffmvspermissive774.90 220882.28 226452.77 222636.50 246537.20 2382348.80 248120.30 2341504.30 247474.40 2321371.10 247186.90 234564.70 2351078.90 252219.30 232256.40 226
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 220882.28 226452.77 222636.50 246537.20 2382348.80 248120.30 2341504.30 247474.40 2321371.10 247186.90 234564.70 2351078.90 252219.30 232256.40 226
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 220882.28 226452.77 222636.50 246537.20 2382348.80 248120.30 2341504.30 247474.40 2321371.10 247186.90 234564.70 2351078.90 252219.30 232256.40 226
baseline1774.90 220882.28 226452.77 222636.50 246537.20 2382348.80 248120.30 2341504.30 247474.40 2321371.10 247186.90 234564.70 2351078.90 252219.30 232256.40 226
casdiffmvs_mvgpermissive774.90 220882.28 226452.77 222636.50 246537.20 2382348.80 248120.30 2341504.30 247474.40 2321371.10 247186.90 234564.70 2351078.90 252219.30 232256.40 226
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 220882.28 226452.77 222636.50 246537.20 2382348.80 248120.30 2341504.30 247474.40 2321371.10 247186.90 234564.70 2351078.90 252219.30 232256.40 226
K. test v3877.74 232980.16 235570.46 2391316.85 278813.15 2642565.52 259103.78 2281509.49 254548.33 2431258.90 243219.93 254587.82 2441102.37 259196.30 227310.42 241
PVSNet1207.94 6829.56 230937.18 233506.69 234645.55 253585.72 2482477.98 256130.52 2431578.29 255509.50 2401460.01 254194.90 245637.19 2491170.78 260267.07 245297.17 238
ACMH993.80 5967.92 2351106.11 245553.33 236494.00 231534.00 2363581.00 263136.00 2441585.00 256478.00 2391871.00 26290.00 199839.00 2541460.00 263260.00 242287.00 237
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PMVScopyleft863.65 3957.08 2341054.11 243666.00 248401.00 226495.00 2343790.00 265279.00 2611607.00 257521.00 2421745.00 26090.00 1991105.00 271639.00 225415.00 256398.00 253
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVSTER890.06 2331005.91 242542.52 235736.13 258653.90 2562616.56 260145.22 2491692.10 258555.69 2471554.72 258266.25 256660.02 2501219.66 261266.84 244313.64 242
WBMVS655.88 212770.84 217310.98 213391.79 223353.00 2232280.68 24599.17 2261776.79 259301.20 2181123.23 241187.34 241390.28 221620.39 221156.98 213189.66 219
CSCG826.03 229963.29 234414.24 221421.52 227426.11 2302230.35 244179.52 2551827.44 260733.43 261933.12 228281.25 257545.23 2331800.35 269262.64 243271.38 234
ACMP1246.57 71086.24 2431235.17 247639.45 243596.53 235639.91 2543904.24 266152.04 2501851.54 261566.58 2481997.95 264138.50 220938.30 2581605.46 265303.70 251340.14 244
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM1311.08 81165.06 2471332.72 250662.07 247584.90 233715.99 2594373.59 270153.99 2521880.27 262709.02 2582316.97 266188.63 242939.89 2591484.30 264302.78 250330.34 243
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MG-MVS1256.50 2491432.00 252730.00 252610.00 238760.00 2614720.00 271169.00 2531920.00 263723.00 2602510.00 272201.00 2471050.00 2691645.00 267390.00 255380.00 250
SSC-MVS3.2667.82 214787.71 218308.16 211385.94 221327.65 2201718.51 238117.00 2321942.46 264317.12 2211488.73 255183.89 232404.82 223763.70 232172.02 221192.01 221
UBG667.82 214787.71 218308.16 211385.94 221327.65 2201718.51 238117.00 2321942.46 264317.12 2211488.73 255183.89 232404.82 223763.70 232172.02 221192.01 221
test_04021110.00 2451260.00 248660.00 245900.00 264780.00 2633300.00 262210.00 2582040.00 266690.00 2561950.00 263300.00 260810.00 2531620.00 266330.00 252390.00 252
PVSNet_01661.03 9968.54 2361066.82 244673.70 249706.94 256695.69 2572669.02 261153.52 2512108.17 267605.54 2491679.14 259213.26 253886.75 2571236.76 262229.01 240438.67 254
MVS_111021_LR1136.45 2461298.72 249649.64 244756.17 259726.26 2603785.94 264138.15 2462190.64 268629.63 2542064.39 265165.45 230874.83 2561678.43 268279.70 246347.82 247
MSLP-MVS++1242.93 2481411.08 251738.48 253712.71 257712.68 2584168.17 268136.50 2452276.40 269613.28 2532368.60 269161.61 2271130.38 2721964.54 272297.88 248372.39 249
DeepC-MVS_fast2190.19 121535.59 2531886.82 257481.89 231847.73 260830.16 2657943.84 290189.23 2572398.83 270691.73 2572341.13 267209.16 251230.25 1961999.25 273360.46 253385.25 251
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
OpenMVS_ROBcopyleft1936.51 101959.51 2562224.88 2601163.39 2671253.91 2751434.22 2827065.71 280272.76 2602472.29 2711647.54 3053538.72 277200.37 2461496.48 2762575.17 278997.45 295559.48 257
ACMMPR1296.60 2501480.82 253743.96 254899.25 263763.47 2624305.47 269143.90 2482530.94 272683.99 2552346.34 268201.65 2481098.25 2701920.59 271295.21 247370.16 248
TSAR-MVS + GP.1386.84 2511622.84 255678.81 250952.13 265840.17 2665358.21 274170.75 2542650.47 273713.54 2592394.28 270209.42 252855.56 2551854.36 270302.42 249340.71 245
COLMAP_ROBcopyleft2144.59 111658.33 2541869.33 2561025.33 2641030.00 2731023.00 2785311.00 273359.00 2703044.00 274937.00 2652892.00 273332.00 2641440.00 2752312.00 275607.00 259613.00 260
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
FPMVS1407.00 2521495.59 2541141.23 265648.01 254893.85 2684124.00 267503.81 2943219.04 275742.72 2622498.84 271157.98 2261727.83 278832.93 236732.98 276802.00 270
CMPMVSbinary2623.62 151983.08 2572156.14 2591463.89 2781414.80 2801517.00 2845239.20 272867.40 3143310.30 2761128.70 2773489.90 276366.75 2692030.20 2892427.60 2761160.60 308844.46 278
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
F-COLMAP1878.17 2552113.11 2581173.33 2681231.00 2741174.00 2796297.00 276392.00 2753356.00 2771087.00 2753082.00 274361.00 2681670.00 2772523.00 277689.00 266676.00 265
OpenMVScopyleft2352.88 132263.08 2602530.89 2631459.67 2771767.00 2911591.00 2877932.00 289399.00 2763643.00 2781176.00 2783569.00 278297.00 2591927.00 2853302.00 283693.00 271861.00 279
ZD-MVS1584.00 2811821.00 304378.00 2733721.00 2791231.00 2801833.00 261321.00 2631224.00 2732103.00 274692.00 270
MVS-HIRNet2125.39 2582452.68 2611143.53 2662938.33 3211446.92 2836083.19 275391.74 2743801.71 2801202.10 2793439.72 275492.73 2781304.35 2743048.25 282676.32 265679.32 266
PLCcopyleft2858.82 162192.92 2592474.00 2621349.67 2701407.00 2791356.00 2817164.00 281475.00 2873970.00 2811237.00 2823765.00 280451.00 2751891.00 2833006.00 281791.00 282802.00 270
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
PCF-MVS4335.85 202272.23 2612597.03 2641297.84 2691701.20 2831332.37 2808105.11 291451.45 2834031.84 2821099.10 2763966.50 281467.45 2761734.05 2792701.68 280848.94 286827.11 276
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
EGC-MVSNET2819.75 2713096.89 2741988.33 2923105.00 3222241.00 3129480.00 301640.00 3084209.00 2831583.00 2984740.00 289547.00 2842797.00 3052644.00 279924.00 292927.00 286
CHOSEN 280x4202340.81 2622643.03 2651434.14 2712025.55 3001629.36 2916542.40 277412.49 2774219.70 2841547.02 2934328.52 283650.74 2941798.26 2803333.17 284727.72 273874.79 280
CHOSEN 1792x26882340.81 2622643.03 2651434.14 2712025.55 3001629.36 2916542.40 277412.49 2774219.70 2841547.02 2934328.52 283650.74 2941798.26 2803333.17 284727.72 273874.79 280
HyFIR lowres test2340.81 2622643.03 2651434.14 2712025.55 3001629.36 2916542.40 277412.49 2774219.70 2841547.02 2934328.52 283650.74 2941798.26 2803333.17 284727.72 273874.79 280
3Dnovator2482.06 142531.17 2652839.56 2681606.00 2791732.00 2871557.00 2868375.00 293483.00 2884370.00 2871371.00 2884200.00 282350.00 2662207.00 2903877.00 290798.00 2831054.00 300
tpmrst2557.50 2662847.12 2691688.66 2821784.08 2921778.25 3017445.50 287342.14 2674471.54 2881534.55 2924382.10 286530.10 2822361.21 2934142.81 294991.22 294926.51 285
DeepPCF-MVS3452.42 182670.71 2693021.57 2711618.12 2802377.67 3071751.39 3008915.70 296567.44 3024569.74 2891236.84 2814615.63 287513.23 2792291.32 2913515.48 287882.39 288811.66 272
DeepC-MVS3917.13 193155.06 2753601.83 2781814.72 2882515.52 3101941.53 30510432.50 311589.42 3034789.45 2901298.65 2847677.31 312578.35 2862589.53 2973611.78 289923.52 291913.10 284
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
AdaColmapbinary2570.77 2672948.61 2701437.24 2741873.64 2931526.60 2857819.77 288373.97 2714970.45 2911479.29 2904648.46 288525.80 2811904.97 2844150.42 295695.69 272880.14 283
LF4IMVS2699.50 2703049.67 2721649.00 2811755.00 2881689.00 2958330.00 292464.00 2854997.00 2921528.00 2914763.00 290568.00 2852296.00 2924215.00 296827.00 285962.00 290
test_0728_THIRD5016.02 2931363.85 2854894.28 291387.23 2702023.43 2863973.88 291620.04 262732.56 267
test07261725.60 2841598.35 2889203.30 297315.86 2645016.02 2931363.85 2854894.28 291387.23 270
SD-MVS2654.53 2683055.56 2731451.45 2751725.60 2841598.35 2889203.30 297315.86 2645016.02 2931363.85 2854894.28 291387.23 2702023.43 2863973.88 291620.04 262732.56 267
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
SteuartSystems-ACMMP2891.50 2733284.78 2761711.67 2831954.00 2941655.00 29410117.00 310445.00 2825102.00 2961375.00 2895126.00 295351.00 2672638.00 3034402.00 298691.00 269842.00 277
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 2743537.00 2771975.67 2902310.00 3052005.00 30910100.00 309626.00 3075753.00 2971803.00 3085179.00 296487.00 2772622.00 3014550.00 2991025.00 3031300.00 307
ITE_SJBPF2014.00 2941998.00 2951992.00 308701.00 3105989.00 2981812.00 3093612.00 279650.00 2932852.00 3064601.00 3001195.00 3091198.00 306
tpm23617.85 2804007.23 2822449.73 3002012.71 2961698.05 2967351.19 283869.29 3156132.06 2991588.28 2998007.42 3151281.09 3213888.11 3197472.04 3201351.00 3101763.02 316
tpm cat13617.85 2804007.23 2822449.73 3002012.71 2961698.05 2967351.19 283869.29 3156132.06 2991588.28 2998007.42 3151281.09 3213888.11 3197472.04 3201351.00 3101763.02 316
CostFormer3617.85 2804007.23 2822449.73 3002012.71 2961698.05 2967351.19 283869.29 3156132.06 2991588.28 2998007.42 3151281.09 3213888.11 3197472.04 3201351.00 3101763.02 316
tpm3617.85 2804007.23 2822449.73 3002012.71 2961698.05 2967351.19 283869.29 3156132.06 2991588.28 2998007.42 3151281.09 3213888.11 3197472.04 3201351.00 3101763.02 316
TAPA-MVS6309.84 213374.90 2783806.99 2812078.63 2952535.47 3112499.25 3208816.16 295456.05 2846255.60 3031664.52 3066704.88 302629.95 2922768.38 3046343.93 316856.35 287968.25 291
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
DPM-MVS3268.00 2763762.89 2791783.33 2861756.00 2891806.00 30212319.00 313307.00 2626319.00 3041557.00 2965763.00 297302.00 2612609.00 2995061.00 302482.00 257935.00 287
OPM-MVS3268.00 2763762.89 2791783.33 2861756.00 2891806.00 30212319.00 313307.00 2626319.00 3041557.00 2965763.00 297302.00 2612609.00 2995061.00 302482.00 257935.00 287
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
Vis-MVSNetpermissive2877.42 2723170.00 2751999.67 2931673.00 2822042.00 3108593.00 294474.00 2866452.00 3061268.00 2835125.00 294339.00 2653004.00 3074222.00 297384.00 254953.00 289
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS_111021_HR3742.80 2844330.34 2871980.20 2912484.31 3092259.52 31314973.80 320515.90 3016500.13 3071949.21 3106146.89 299535.66 2832593.66 2984880.76 301986.37 2931087.43 301
API-MVS4380.83 2914906.56 2932803.67 3073844.00 3243116.00 32613454.00 316901.00 3196511.00 3082794.00 3217365.00 308754.00 3033634.00 3176622.00 3171914.00 3211661.00 311
MAR-MVS3973.16 2854387.92 2882728.86 3063345.27 3233341.39 32711403.90 312798.76 3126555.62 3092569.29 3206514.86 301834.97 3063237.43 3165891.08 3071577.54 3151607.76 308
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
TSAR-MVS + MP.3528.01 2794065.89 2861914.35 2892349.10 3062141.30 31112362.70 315417.60 2816717.80 3101759.40 3076497.50 300518.18 2802629.38 3025164.32 304806.40 284972.38 292
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
IU-MVS2725.60 3172598.35 321515.86 2977016.02 3112363.85 3155973.88 3081620.04 3161732.56 312
test_241102_TWO515.86 2977016.02 3112363.85 3156894.28 303887.23 3073023.43 3085973.88 3081620.04 3161732.56 312
test_241102_ONE2725.60 3172598.35 321515.86 2977016.02 3112363.85 3156894.28 303887.23 3073023.43 308
MSP-MVS4296.20 2904911.12 2942451.45 3042725.60 3172598.35 32116203.30 321515.86 2977016.02 3112363.85 3156894.28 303887.23 3073023.43 3085973.88 3081620.04 3161732.56 312
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
DVP-MVS++3981.10 2864731.32 2911730.42 2842191.51 3031949.98 30616473.90 322355.33 2687172.90 3151622.98 3037879.79 313434.33 2732428.11 2955762.12 305689.04 267813.18 273
DVP-MVScopyleft3981.10 2864731.32 2911730.42 2842191.51 3031949.98 30616473.90 322355.33 2687172.90 3151622.98 3037879.79 313434.33 2732428.11 2955762.12 305689.04 267813.18 273
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
GST-MVS4000.00 2884533.33 2892400.00 2992400.00 3082400.00 3147200.00 2822400.00 3317200.00 3172400.00 3197200.00 3072400.00 3252400.00 2947200.00 3182400.00 3222400.00 321
FOURS12643.17 3122465.14 31513996.40 317493.26 2897619.38 3182107.24 311
PC_three_14527619.38 3182107.24 3117416.93 309610.24 2893088.29 3126075.14 3121078.39 3041159.26 302
test_one_06012643.17 3122465.14 315493.26 2897619.38 3182107.24 3117416.93 309610.24 289
SED-MVS4062.74 2894671.13 2902237.56 2962643.17 3122465.14 31513996.40 317493.26 2897619.38 3182107.24 3117416.93 309610.24 2893088.29 3126075.14 3121078.39 3041159.26 302
OMC-MVS5022.26 2925748.82 2952842.58 3084905.27 3263101.27 32514933.60 319812.24 3139278.40 3222959.29 3228800.17 3191092.24 3193806.30 3187568.54 3241389.60 3141620.18 310
ZNCC-MVS9999.00 2959999.00 2989999.00 3129999.00 3309999.00 3329999.00 3029999.00 3359999.00 3239999.00 3279999.00 3209999.00 3289999.00 3259999.00 3259999.00 3269999.00 324
patch_mono-210000.00 29610000.00 29910000.00 31310000.00 33110000.00 33310000.00 30310000.00 33610000.00 32410000.00 32810000.00 32110000.00 32910000.00 32610000.00 32610000.00 32710000.00 325
dcpmvs_210000.00 29610000.00 29910000.00 31310000.00 33110000.00 33310000.00 30310000.00 33610000.00 32410000.00 32810000.00 32110000.00 32910000.00 32610000.00 32610000.00 32710000.00 325
DCPMVS10000.00 29610000.00 29910000.00 31310000.00 33110000.00 33310000.00 30310000.00 33610000.00 32410000.00 32810000.00 32110000.00 32910000.00 32610000.00 32610000.00 32710000.00 325
UA-Net10000.00 29610000.00 29910000.00 31310000.00 33110000.00 33310000.00 30310000.00 33610000.00 32410000.00 32810000.00 32110000.00 32910000.00 32610000.00 32610000.00 32710000.00 325
uncertanet10000.00 29610000.00 29910000.00 31310000.00 33110000.00 33310000.00 30310000.00 33610000.00 32410000.00 32810000.00 32110000.00 32910000.00 32610000.00 32610000.00 32710000.00 325
uanet10000.00 29610000.00 29910000.00 31310000.00 33110000.00 33310000.00 30310000.00 33610000.00 32410000.00 32810000.00 32110000.00 32910000.00 32610000.00 32610000.00 32710000.00 325
MVEpermissive10021.00 2210550.67 30210002.44 30512195.33 3196242.00 3288768.00 33130896.00 3264451.00 33210331.00 3306247.00 32518296.00 329283.00 25821484.00 3337364.00 3195912.00 3256334.00 323
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
LS3D7684.71 2948776.23 2974410.16 3105298.55 3275631.53 32934329.90 3271504.57 32911554.00 3313896.41 32315111.00 328812.19 3045985.63 3243516.20 2882963.23 3231613.31 309
CLD-MVS7338.25 2938341.00 2964330.00 3094902.00 3254991.00 32823318.00 325728.00 31114437.00 3324378.00 32413379.00 327824.00 3055708.00 32311429.00 3331674.00 3202291.00 320
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
CNLPA10738.67 30311772.44 3067637.33 3119120.00 3298206.00 33022252.00 3242010.00 33024984.00 3337458.00 32622596.00 3302940.00 32610260.00 33211100.00 3323492.00 3244446.00 322
LTVRE_ROB20565.47 2323378.08 30422805.00 30725097.33 32015500.00 33719201.00 33942712.00 3286055.00 33338388.00 33416926.00 33438534.00 3317071.00 32735653.00 33429475.00 33410584.00 33320438.00 332
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 30534443.44 30827094.33 32129249.00 33825246.00 34051144.00 3296705.00 33442886.00 33522888.00 33548534.00 33213263.00 33537507.00 33579298.00 33516024.00 33418530.00 331
114514_t99999.00 30699999.00 30999999.00 32299999.00 33999999.00 34199999.00 33099999.00 34299999.00 33699999.00 33699999.00 33399999.00 33699999.00 33699999.00 33699999.00 33599999.00 333
PHI-MVS99999.00 30699999.00 30999999.00 32299999.00 33999999.00 34199999.00 33099999.00 34299999.00 33699999.00 33699999.00 33399999.00 33699999.00 33699999.00 33699999.00 33599999.00 333
XVG-OURS-SEG-HR999999.00 310999999.00 311999999.00 324999999.00 341999999.00 343999999.00 332999999.00 344999999.00 338999999.00 338999999.00 335999999.00 338999999.00 338999999.00 338999999.00 337999999.00 335
XVG-OURS999999.00 310999999.00 311999999.00 324999999.00 341999999.00 343999999.00 332999999.00 344999999.00 338999999.00 338999999.00 335999999.00 338999999.00 338999999.00 338999999.00 337999999.00 335
XVG-ACMP-BASELINE999999.00 310999999.00 311999999.00 324999999.00 341999999.00 343999999.00 332999999.00 344999999.00 338999999.00 338999999.00 335999999.00 338999999.00 338999999.00 338999999.00 337999999.00 335
mamba_040810000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
icg_test_0407_210000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
SSM_0407210000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
SSM_040710000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
IMVS_040710000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
IMVS_040410000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
SSM_040410000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
IMVS_040310000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
SD_040310000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
NormalMVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
lecture10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
SymmetryMVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
Elysia10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
StellarMVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
KinetiMVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
LuminaMVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
VortexMVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
AstraMVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
guyue10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
sc_t110000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
tt0320-xc10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
tt032010000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
MVSMamba_PlusPlus10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
MGCFI-Net10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
sasdasda10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
dmvs_re10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
SDMVSNet10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
dmvs_testset10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
sd_testset10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
balanced_conf0310000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
MonoMVSNet10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
test250610000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
test111110000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
ECVR-MVScopyleft10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
test_blank10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
tt080510000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
Anonymous2024052110000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
cl2210000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
miper_ehance_all_eth10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
miper_enhance_ethall10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
cl____10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
DIV-MVS_self_test10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
eth_miper_zixun_eth10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
ET-MVSNet_ETH3D10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
UniMVSNet_ETH3D10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
miper_lstm_enhance10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
D2MVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
test_yl10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
thisisatest053010000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
Anonymous2024052910000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
Anonymous20240521110000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
DCV-MVSNet10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
tttt051710000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
our_test_310000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
thisisatest051510000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
ppachtmachnet_test10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
SMA-MVScopyleft10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
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 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
tfpnnormal10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
tfpn200view910000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
c3_l10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
IterMVS-SCA-FT10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
pmmvs610000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
pmmvs510000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
Anonymous2023121110000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
pmmvs-eth3d10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
Anonymous2023120610000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
SCA10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
Patchmatch-test10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
Patchmatch-RL test10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
canonicalmvs10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
anonymousdsp10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
FIs10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
FC-MVSNet-test10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
sosnet-low-res10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
AllTest10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
TestCases10000000.00 32710000000.00 34410000000.00 34610000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
RRT-MVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
mamv410000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
HPM-MVS++copyleft10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
XVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
pm-mvs110000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
X-MVStestdata10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
APDe-MVScopyleft10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
pmmvs410000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
test-LLR10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
TESTMET0.1,110000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
test-mter10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
testgi10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
test20.0310000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
thres600view710000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
MP-MVScopyleft10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
thres40010000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
test12310000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
thres20010000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
test0.0.03 110000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
pmmvs310000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
EMVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
E-PMN10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
PGM-MVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
MCST-MVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
MVS_Test10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
PMMVS210000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
PM-MVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
HQP_MVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
plane_prior310000000.00 34610000000.00 34110000000.00 341
plane_prior210000000.00 33510000000.00 341
mPP-MVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
mvsmamba10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
HPM-MVS_fast10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
HPM-MVScopyleft10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
LGP-MVS_train10000000.00 32710000000.00 34410000000.00 34610000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
EPNet_dtu10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP-NCC10000000.00 34410000000.00 33510000000.00 34110000000.00 341
ACMP_Plane10000000.00 34410000000.00 33510000000.00 34110000000.00 341
CNVR-MVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
NCCC10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
CP-MVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
CPTT-MVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
HQP-MVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
IS-MVSNet10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
PAPM_NR10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
PAPR10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
Vis-MVSNet (Re-imp)10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
PatchMatch-RL10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
TDRefinement10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
EPP-MVSNet10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
PMMVS10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
PAPM10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
ACMMPcopyleft10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
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 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
wuyk23d10000000.00 31310000000.00 31610000000.00 32710000000.00 34410000000.00 34610000000.00 33510000000.00 34710000000.00 34110000000.00 34110000000.00 33810000000.00 34110000000.00 34110000000.00 34110000000.00 34010000000.00 338
APD-MVScopyleft1000000000.00 4441000000000.00 4471000000000.00 4601000000000.00 4851000000000.00 4851000000000.00 4711000000000.00 4851000000000.00 4781000000000.00 4791000000000.00 4761000000000.00 4811000000000.00 4791000000000.00 4781000000000.00 4771000000000.00 475
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
WAC-MVS248.46 205422.23 198
MSC_two_6792asdad2237.56 2962643.17 3122465.14 315493.26 2893088.29 3126075.14 3121078.39 3041159.26 302
No_MVS2237.56 2962643.17 3122465.14 315493.26 2893088.29 3126075.14 3121078.39 3041159.26 302
eth-test21.42 98
eth-test10000000.00 344
OPU-MVS2451.45 3042725.60 3172598.35 3219203.30 2976894.28 303887.23 3073023.43 3085973.88 3081620.04 3161732.56 312
test_0728_SECOND1451.45 2751725.60 2841598.35 2889203.30 297315.86 2642023.43 2863973.88 291620.04 262732.56 267
GSMVS10000000.00 338
test_part210000000.00 34410000000.00 34610000000.00 341
sam_mvs110000000.00 34110000000.00 338
sam_mvs10000000.00 341
ambc999.00 257999.00 266999.00 271999.00 213999.00 320999.00 266999.00 229999.00 312999.00 262999.00 242999.00 296999.00 293
MTGPAbinary10000000.00 347
test_post110000000.00 33510000000.00 33810000000.00 34110000000.00 34110000000.00 341
test_post10000000.00 33810000000.00 34110000000.00 341
patchmatchnet-post10000000.00 33810000000.00 34110000000.00 341
GG-mvs-BLEND596.01 240611.29 241600.33 249790.30 200513.12 295552.71 244567.40 194662.54 299531.67 229503.93 205779.80 277656.02 261
MTMP10000000.00 33510000000.00 347
test9_res0.00 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
test_prior40.00 10.00 1
test_prior0.00 10.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
旧先验10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM20.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
test120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
plane_prior710000000.00 34410000000.00 346
plane_prior610000000.00 34410000000.00 34610000000.00 341
plane_prior510000000.00 34710000000.00 34110000000.00 34110000000.00 34010000000.00 338
plane_prior410000000.00 338
plane_prior110000000.00 344
n214.20 172
nn1.42 100
door-mid1.42 100
lessismore_v0569.20 238667.25 255644.68 25596.45 221428.86 2301514.17 257204.21 250756.58 2511061.60 251197.79 228306.34 240
test111.00 93
door99.00 225
HQP5-MVS10000000.00 346
BP-MVS10000000.00 341
HQP4-MVS10000000.00 34110000000.00 34110000000.00 338
HQP3-MVS10000000.00 34710000000.00 340
HQP2-MVS10000000.00 341
NP-MVS10000000.00 34410000000.00 34610000000.00 338
ACMMP++_ref10000000.00 340
ACMMP++10000000.00 340
Test By Simon990.00 311