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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
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
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
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
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
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-mvs330.30 400.30 410.30 450.30 520.30 520.30 520.30 530.30 520.30 510.30 490.30 510.30 520.30 500.30 500.30 50
hse-mvs20.30 400.30 410.30 450.30 520.30 520.30 520.30 530.30 520.30 510.30 490.30 510.30 520.30 500.30 500.30 50
CL-MVSNet_self_test0.30 400.30 410.30 450.30 520.30 520.30 520.30 530.30 520.30 510.30 490.30 510.30 520.30 500.30 500.30 50
AUN-MVS0.30 400.30 410.30 450.30 520.30 520.30 520.30 530.30 520.30 510.30 490.30 510.30 520.30 500.30 500.30 50
LCM-MVSNet0.37 440.36 450.37 490.37 560.37 560.37 560.32 570.37 560.37 550.37 530.37 550.37 560.37 540.37 540.37 54
v1441920.40 450.40 460.40 500.40 570.40 570.40 570.40 590.40 570.40 560.40 540.40 560.40 570.40 550.40 550.40 55
v19219200.40 450.40 460.40 500.40 570.40 570.40 570.40 590.40 570.40 560.40 540.40 560.40 570.40 550.40 550.40 55
v11920.40 450.40 460.40 500.40 570.40 570.40 570.40 590.40 570.40 560.40 540.40 560.40 570.40 550.40 550.40 55
v11440.40 450.40 460.40 500.40 570.40 570.40 570.40 590.40 570.40 560.40 540.40 560.40 570.40 550.40 550.40 55
v1480.40 450.40 460.40 500.40 570.40 570.40 570.40 590.40 570.40 560.40 540.40 560.40 570.40 550.40 550.40 55
v7n0.40 450.40 460.40 500.40 570.40 570.40 570.40 590.40 570.40 560.40 540.40 560.40 570.40 550.40 550.40 55
v12400.40 450.40 460.40 500.40 570.40 570.40 570.40 590.40 570.40 560.40 540.40 560.40 570.40 550.40 550.40 55
v80.40 450.40 460.40 500.40 570.40 570.40 570.40 590.40 570.40 560.40 540.40 560.40 570.40 550.40 550.40 55
v100.40 450.40 460.40 500.40 570.40 570.40 570.40 590.40 570.40 560.40 540.40 560.40 570.40 550.40 550.40 55
v2v4820.40 450.40 460.40 500.40 570.40 570.40 570.40 590.40 570.40 560.40 540.40 560.40 570.40 550.40 550.40 55
V420.40 450.40 460.40 500.40 570.40 570.40 570.40 590.40 570.40 560.40 540.40 560.40 570.40 550.40 550.40 55
GA-MVS0.40 450.40 460.40 500.40 570.40 570.40 570.40 590.40 570.40 560.40 540.40 560.40 570.40 550.40 550.40 55
Fast-Effi-MVS+0.41 570.40 460.41 620.41 690.41 690.41 690.35 580.41 690.41 680.41 660.41 680.41 690.41 670.41 670.41 67
Fast-Effi-MVS+-dtu0.44 580.44 590.44 630.44 700.44 700.44 700.44 710.44 700.44 690.44 670.44 690.44 700.44 680.44 680.44 68
Effi-MVS+0.58 590.56 600.62 660.53 710.62 730.53 710.53 720.53 710.62 720.62 700.53 700.62 730.62 700.53 690.62 71
Effi-MVS+-dtu0.59 600.61 620.53 640.68 780.53 710.53 710.68 790.68 780.53 700.53 680.68 770.53 710.68 760.53 690.53 69
KD-MVS_self_test0.60 610.60 610.60 650.60 720.60 720.60 730.60 730.60 720.60 710.60 690.60 710.60 720.60 690.60 710.60 70
EIA-MVS0.62 620.62 630.62 660.62 730.62 730.62 740.62 740.62 730.62 720.62 700.62 720.62 730.62 700.62 720.62 71
ETV-MVS0.62 620.62 630.62 660.62 730.62 730.62 740.62 740.62 730.62 720.62 700.62 720.62 730.62 700.62 720.62 71
CS-MVS0.62 620.62 630.62 660.62 730.62 730.62 740.62 740.62 730.62 720.62 700.62 720.62 730.62 700.62 720.62 71
SPE-MVS-test0.62 620.62 630.62 660.62 730.62 730.62 740.62 740.62 730.62 720.62 700.62 720.62 730.62 700.62 720.62 71
EC-MVSNet0.62 620.62 630.62 660.62 730.62 730.62 740.62 740.62 730.62 720.62 700.62 720.62 730.62 700.62 720.62 71
CDS-MVSNet0.88 670.88 680.88 720.88 790.88 790.88 790.88 800.88 790.88 780.88 760.88 780.88 790.88 770.88 770.88 77
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 670.88 680.88 720.88 790.88 790.88 790.88 800.88 790.88 780.88 760.88 780.88 790.88 770.88 770.88 77
LCM-MVSNet-Re0.89 690.89 700.89 740.89 810.89 810.89 810.89 820.89 810.89 800.89 780.89 800.89 810.89 790.89 790.89 79
MDA-MVSNet-bldmvs1.20 701.20 711.20 761.20 831.20 841.20 821.20 851.20 831.20 821.20 801.20 821.20 831.20 811.20 811.20 81
YYNet11.20 701.20 711.20 761.20 831.20 841.20 821.20 851.20 831.20 821.20 801.20 821.20 831.20 811.20 811.20 81
MDA-MVSNet_test_wron1.20 701.20 711.20 761.20 831.20 841.20 821.20 851.20 831.20 821.20 801.20 821.20 831.20 811.20 811.20 81
KD-MVS_2432*16001.30 731.30 741.30 791.30 861.30 871.30 851.30 881.30 861.30 851.30 831.30 851.30 861.30 841.30 841.30 84
miper_refine_blended1.30 731.30 741.30 791.30 861.30 871.30 851.30 881.30 861.30 851.30 831.30 851.30 861.30 841.30 841.30 84
EI-MVSNet-UG-set1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
EI-MVSNet-Vis-set1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
EI-MVSNet1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
Regformer1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
CVMVSNet1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
EU-MVSNet1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
PS-CasMVS1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
UniMVSNet_NR-MVSNet1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
PEN-MVS1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
TransMVSNet (Re)1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
DTE-MVSNet1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
DU-MVS1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
UniMVSNet (Re)1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
CP-MVSNet1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
WR-MVS_H1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
WR-MVS1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
NR-MVSNet1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
Baseline_NR-MVSNet1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
TranMVSNet+NR-MVSNet1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
MVSFormer1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
jason1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
jason: jason.
lupinMVS1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
test_djsdf1.42 751.42 761.42 811.42 881.42 891.42 871.42 901.42 881.42 871.42 851.42 871.42 881.42 861.42 861.42 86
reproduce_monomvs1.48 981.48 991.48 1041.48 1121.48 1121.48 1101.48 1151.48 1111.48 1101.48 1081.48 1101.48 1111.48 1091.48 1091.48 109
mmtdpeth1.48 981.48 991.48 1041.48 1121.48 1121.48 1101.48 1151.48 1111.48 1101.48 1081.48 1101.48 1111.48 1091.48 1091.48 109
reproduce_model1.48 981.48 991.48 1041.48 1121.48 1121.48 1101.48 1151.48 1111.48 1101.48 1081.48 1101.48 1111.48 1091.48 1091.48 109
reproduce-ours1.48 981.48 991.48 1041.48 1121.48 1121.48 1101.48 1151.48 1111.48 1101.48 1081.48 1101.48 1111.48 1091.48 1091.48 109
our_new_method1.48 981.48 991.48 1041.48 1121.48 1121.48 1101.48 1151.48 1111.48 1101.48 1081.48 1101.48 1111.48 1091.48 1091.48 109
mmdepth1.48 981.48 991.48 1041.48 1121.48 1121.48 1101.48 1151.48 1111.48 1101.48 1081.48 1101.48 1111.48 1091.48 1091.48 109
monomultidepth1.48 981.48 991.48 1041.48 1121.48 1121.48 1101.48 1151.48 1111.48 1101.48 1081.48 1101.48 1111.48 1091.48 1091.48 109
mvs5depth1.48 981.48 991.48 1041.48 1121.48 1121.48 1101.48 1151.48 1111.48 1101.48 1081.48 1101.48 1111.48 1091.48 1091.48 109
MVStest11.48 981.48 991.48 1041.48 1121.48 1121.48 1101.48 1151.48 1111.48 1101.48 1081.48 1101.48 1111.48 1091.48 1091.48 109
ttmdpeth1.48 981.48 991.48 1041.48 1121.48 1121.48 1101.48 1151.48 1111.48 1101.48 1081.48 1101.48 1111.48 1091.48 1091.48 109
alignmvs2.00 1082.00 1092.00 1142.00 1222.00 1222.00 1202.00 1252.00 1212.00 1202.00 1182.00 1202.00 1212.00 1192.00 1192.00 119
nrg0302.00 1082.00 1092.00 1142.00 1222.00 1222.00 1202.00 1252.00 1212.00 1202.00 1182.00 1202.00 1212.00 1192.00 1192.00 119
LFMVS2.00 1082.00 1092.00 1142.00 1222.00 1222.00 1202.00 1252.00 1212.00 1202.00 1182.00 1202.00 1212.00 1192.00 1192.00 119
VDD-MVS2.00 1082.00 1092.00 1142.00 1222.00 1222.00 1202.00 1252.00 1212.00 1202.00 1182.00 1202.00 1212.00 1192.00 1192.00 119
VDDNet2.00 1082.00 1092.00 1142.00 1222.00 1222.00 1202.00 1252.00 1212.00 1202.00 1182.00 1202.00 1212.00 1192.00 1192.00 119
VPNet2.00 1082.00 1092.00 1142.00 1222.00 1222.00 1202.00 1252.00 1212.00 1202.00 1182.00 1202.00 1212.00 1192.00 1192.00 119
VNet2.00 1082.00 1092.00 1142.00 1222.00 1222.00 1202.00 1252.00 1212.00 1202.00 1182.00 1202.00 1212.00 1192.00 1192.00 119
VPA-MVSNet2.00 1082.00 1092.00 1142.00 1222.00 1222.00 1202.00 1252.00 1212.00 1202.00 1182.00 1202.00 1212.00 1192.00 1192.00 119
cascas2.00 1082.00 1092.00 1142.00 1222.00 1222.00 1202.00 1252.00 1212.00 1202.00 1182.00 1202.00 1212.00 1192.00 1192.00 119
UnsupCasMVSNet_eth5.90 1175.90 1185.90 1235.90 1315.90 1315.90 1305.90 1375.90 1315.90 1295.90 1275.90 1315.90 1305.90 1285.90 1315.90 131
UnsupCasMVSNet_bld5.90 1175.90 1185.90 1235.90 1315.90 1315.90 1305.90 1375.90 1315.90 1295.90 1275.90 1315.90 1305.90 1285.90 1315.90 131
WTY-MVS5.90 1175.90 1185.90 1235.90 1315.90 1315.90 1305.90 1375.90 1315.90 1295.90 1275.90 1315.90 1305.90 1285.90 1315.90 131
HY-MVS5.90 15.90 1175.90 1185.90 1235.90 1315.90 1315.90 1305.90 1375.90 1315.90 1295.90 1275.90 1315.90 1305.90 1285.90 1315.90 131
sss5.90 1175.90 1185.90 1235.90 1315.90 1315.90 1305.90 1375.90 1315.90 1295.90 1275.90 1315.90 1305.90 1285.90 1315.90 131
Test_1112_low_res5.90 1175.90 1185.90 1235.90 1315.90 1315.90 1305.90 1375.90 1315.90 1295.90 1275.90 1315.90 1305.90 1285.90 1315.90 131
1112_ss5.90 1175.90 1185.90 1235.90 1315.90 1315.90 1305.90 1375.90 1315.90 1295.90 1275.90 1315.90 1305.90 1285.90 1315.90 131
ab-mvs-re5.90 1175.90 1185.90 1235.90 1315.90 1315.90 1305.90 1375.90 1315.90 1295.90 1275.90 1315.90 1305.90 1285.90 1315.90 131
ab-mvs5.90 1175.90 1185.90 1235.90 1315.90 1315.90 1305.90 1375.90 1315.90 1295.90 1275.90 1315.90 1305.90 1285.90 1315.90 131
CDPH-MVS6.66 1266.66 1276.66 1326.66 1406.66 1406.66 1396.66 1466.66 1406.66 1386.66 1366.66 1406.66 1396.66 1376.66 1406.66 140
xiu_mvs_v1_base_debu10.28 12710.28 12910.28 13410.28 14210.28 14410.28 14210.28 14910.28 14310.28 14210.28 13810.28 14410.28 14210.28 14010.28 14310.28 142
xiu_mvs_v2_base10.28 12710.28 12910.28 13410.28 14210.28 14410.28 14210.28 14910.28 14310.28 14210.28 13810.28 14410.28 14210.28 14010.28 14310.28 142
xiu_mvs_v1_base10.28 12710.28 12910.28 13410.28 14210.28 14410.28 14210.28 14910.28 14310.28 14210.28 13810.28 14410.28 14210.28 14010.28 14310.28 142
xiu_mvs_v1_base_debi10.28 12710.28 12910.28 13410.28 14210.28 14410.28 14210.28 14910.28 14310.28 14210.28 13810.28 14410.28 14210.28 14010.28 14310.28 142
cdsmvs_eth3d_5k10.28 12710.28 12910.28 13410.28 14210.28 14410.28 14210.28 14910.28 14310.28 14210.28 13810.28 14410.28 14210.28 14010.28 14310.28 142
pcd_1.5k_mvsjas10.28 12710.28 12910.28 13410.28 14210.28 14410.28 14210.28 14910.28 14310.28 14210.28 13810.28 14410.28 14210.28 14010.28 14310.28 142
PS-MVSNAJss10.28 12710.28 12910.28 13410.28 14210.28 14410.28 14210.28 14910.28 14310.28 14210.28 13810.28 14410.28 14210.28 14010.28 14310.28 142
PS-MVSNAJ10.28 12710.28 12910.28 13410.28 14210.28 14410.28 14210.28 14910.28 14310.28 14210.28 13810.28 14410.28 14210.28 14010.28 14310.28 142
jajsoiax10.28 12710.28 12910.28 13410.28 14210.28 14410.28 14210.28 14910.28 14310.28 14210.28 13810.28 14410.28 14210.28 14010.28 14310.28 142
mvs_tets10.28 12710.28 12910.28 13410.28 14210.28 14410.28 14210.28 14910.28 14310.28 14210.28 13810.28 14410.28 14210.28 14010.28 14310.28 142
SR-MVS-dyc-post11.55 13711.55 13911.55 14611.55 15311.55 15511.55 15211.55 16111.55 15311.55 15311.55 14811.55 15511.55 15211.55 15011.55 15311.55 152
XXY-MVS15.00 13815.00 14015.00 14715.00 15415.00 15715.00 15315.00 16315.00 15415.00 15515.00 14915.00 15915.00 15415.00 15215.00 15515.00 154
test_method18.29 13920.89 14110.50 14415.00 15413.00 15655.00 1593.00 13534.00 15611.50 15232.50 1505.00 13013.50 15327.00 1545.00 1305.00 130
GeoE19.41 14022.09 14211.37 14517.21 15611.30 15450.50 1584.30 13633.60 15511.70 15444.50 1557.30 14118.90 15522.60 1537.10 1413.90 128
BH-w/o40.00 14140.00 14340.00 14940.00 15740.00 15840.00 15440.00 18240.00 15740.00 15740.00 15140.00 17640.00 15740.00 15540.00 16940.00 165
BH-untuned40.00 14140.00 14340.00 14940.00 15740.00 15840.00 15440.00 18240.00 15740.00 15740.00 15140.00 17640.00 15740.00 15540.00 16940.00 165
BH-RMVSNet40.00 14140.00 14340.00 14940.00 15740.00 15840.00 15440.00 18240.00 15740.00 15740.00 15140.00 17640.00 15740.00 15540.00 16940.00 165
TR-MVS40.00 14140.00 14340.00 14940.00 15740.00 15840.00 15440.00 18240.00 15740.00 15740.00 15140.00 17640.00 15740.00 15540.00 16940.00 165
GBi-Net44.67 14549.24 14730.96 14847.53 16147.57 162126.09 1608.00 14776.99 16126.09 15673.50 15711.27 15430.55 15661.12 15912.58 15414.75 153
dp87.20 146113.80 1507.42 13310.50 1528.88 141298.82 1672.70 134510.35 1867.79 139172.93 1603.37 1299.16 14014.00 1513.71 1294.23 129
new_pmnet88.14 14798.62 14856.70 15398.14 16856.07 163246.79 16215.37 164148.06 16250.77 161143.13 15823.35 16062.65 16193.26 16068.71 17951.38 175
N_pmnet88.14 14798.62 14856.70 15398.14 16856.07 163246.79 16215.37 164148.06 16250.77 161143.13 15823.35 16062.65 16193.26 16068.71 17951.38 175
CANet110.62 149124.04 15170.34 15682.03 16574.27 168325.54 16825.25 167207.16 16469.28 166194.38 16127.53 16295.79 170147.76 16437.43 15940.97 169
CANet_DTU110.62 149124.04 15170.34 15682.03 16574.27 168325.54 16825.25 167207.16 16469.28 166194.38 16127.53 16295.79 170147.76 16437.43 15940.97 169
UGNet110.62 149124.04 15170.34 15682.03 16574.27 168325.54 16825.25 167207.16 16469.28 166194.38 16127.53 16295.79 170147.76 16437.43 15940.97 169
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
ACMMP_NAP118.81 152133.18 15475.70 15974.28 16373.29 166284.50 16411.35 159238.58 16865.86 164255.35 17614.55 157115.69 178222.18 17831.94 15738.12 163
FMVSNet5124.76 153140.93 15576.26 161107.44 171100.17 175329.88 17127.12 173259.44 17374.30 169204.34 16430.74 16592.41 163196.98 16738.15 16236.19 156
test1124.76 153140.93 15576.26 161107.44 171100.17 175329.88 17127.12 173259.44 17374.30 169204.34 16430.74 16592.41 163196.98 16738.15 16236.19 156
FMVSNet3124.76 153140.93 15576.26 161107.44 171100.17 175329.88 17127.12 173259.44 17374.30 169204.34 16430.74 16592.41 163196.98 16738.15 16236.19 156
FMVSNet2124.76 153140.93 15576.26 161107.44 171100.17 175329.88 17127.12 173259.44 17374.30 169204.34 16430.74 16592.41 163196.98 16738.15 16236.19 156
FMVSNet1124.76 153140.93 15576.26 161107.44 171100.17 175329.88 17127.12 173259.44 17374.30 169204.34 16430.74 16592.41 163196.98 16738.15 16236.19 156
MIMVSNet1124.76 153140.93 15576.26 161107.44 171100.17 175329.88 17127.12 173259.44 17374.30 169204.34 16430.74 16592.41 163196.98 16738.15 16236.19 156
MIMVSNet124.76 153140.93 15576.26 161107.44 171100.17 175329.88 17127.12 173259.44 17374.30 169204.34 16430.74 16592.41 163196.98 16738.15 16236.19 156
DSMNet-mixed131.33 160143.00 16296.33 17199.00 17081.00 171201.00 16145.00 187335.00 18099.00 179251.00 17538.00 175110.00 177120.00 16399.00 18598.00 181
PVSNet_Blended_VisFu136.90 161155.40 16381.40 168111.00 17896.20 172407.00 17825.90 170251.60 17085.10 176240.50 17237.00 17299.90 173199.80 17440.70 17348.10 172
PVSNet_BlendedMVS136.90 161155.40 16381.40 168111.00 17896.20 172407.00 17825.90 170251.60 17085.10 176240.50 17237.00 17299.90 173199.80 17440.70 17348.10 172
PVSNet_Blended136.90 161155.40 16381.40 168111.00 17896.20 172407.00 17825.90 170251.60 17085.10 176240.50 17237.00 17299.90 173199.80 17440.70 17348.10 172
BP-MVS1202.65 164232.15 166114.16 172183.40 182141.78 182655.87 18624.69 166372.56 181109.76 180356.89 17847.15 180139.51 180284.15 18054.86 17661.20 177
FE-MVS207.10 165234.26 167125.61 173180.34 181153.23 183635.64 18530.05 180378.38 182127.68 181377.08 17948.95 181154.43 181266.67 17963.56 17769.18 178
GDP-MVS219.79 166249.11 168131.85 174187.15 183155.97 184667.31 18730.57 181398.95 183131.26 182387.86 18058.83 183164.55 182315.00 18165.03 17875.04 179
FA-MVS(test-final)261.15 167293.29 169164.72 175236.23 186199.99 189800.05 19342.35 186475.87 185155.47 183470.67 18258.49 182205.24 184319.44 18281.03 18288.93 180
DP-MVS264.78 168296.02 170171.04 177191.70 184183.96 186827.10 19478.36 198438.24 184176.64 185435.12 18165.04 185230.52 187334.02 183117.96 19398.64 182
kuosan267.89 169301.05 171168.41 176244.05 187177.28 185667.98 18865.76 189533.41 187157.79 184492.01 183104.69 198226.72 185364.47 18579.31 181101.21 183
WB-MVS316.44 170357.41 172193.51 179257.06 188213.32 192914.45 19649.03 188600.77 193186.42 187634.00 19575.03 188251.35 189411.39 18688.55 183115.87 185
SSC-MVS320.23 171364.09 173188.66 178260.78 189193.84 187975.93 20273.11 194596.72 192185.29 186589.02 18974.47 187246.01 188427.42 18994.06 184126.12 186
UWE-MVS-28327.73 172369.67 174201.90 180281.09 195210.75 190832.98 19574.67 197680.98 200198.23 188613.42 192112.56 201259.80 190418.76 187114.35 187135.15 192
testing91347.05 173389.92 175218.43 182275.92 193241.43 194923.71 19871.70 190667.65 198217.04 192629.00 193113.33 202281.39 192495.50 192115.45 189132.47 189
testing11348.86 174393.09 176216.15 181275.24 192239.53 193915.55 19772.35 191679.89 199215.75 191633.79 194118.08 203276.62 191509.56 200117.61 192132.30 188
dongtai360.45 175401.64 177236.89 185303.10 196262.16 200963.12 19972.78 192622.82 196199.37 189708.06 198130.96 206310.90 195506.46 199108.11 186137.60 193
Syy-MVS370.76 176415.60 179236.25 184310.54 197210.76 191965.13 20098.58 213746.06 205266.26 199788.85 20591.37 192364.76 203357.17 184116.42 190133.22 190
tmp_tt371.08 177412.78 178246.00 188231.00 185197.00 1881293.00 221376.00 262756.00 207609.00 24071.00 156106.00 199195.00 183102.00 162171.00 210346.00 236
UWE-MVS387.98 178438.66 181235.93 183349.32 202257.61 1981081.50 21082.45 202637.74 197257.12 196738.54 200134.25 207308.00 193531.93 202135.11 196142.17 194
myMVS_eth3d390.90 179437.44 180251.28 190310.54 197255.86 197965.13 20098.58 213746.06 205266.26 199788.85 205154.95 214364.76 203490.19 191116.42 190133.22 190
RPSCF394.81 180445.63 182242.35 186276.55 194253.63 1961207.27 21890.69 207715.56 201241.57 195684.87 196111.96 200320.02 197548.38 204133.81 195153.39 198
WB-MVSnew404.84 181458.00 183245.36 187374.70 206320.27 2081193.74 21772.90 193773.77 208238.30 193688.22 19790.05 191308.59 194532.76 203157.54 204107.21 184
testing99408.82 182462.15 184248.86 189322.45 199269.42 2011118.93 21373.26 195719.36 203262.28 197772.10 202150.98 213327.08 198601.98 208137.99 197150.07 196
testing3418.10 183469.06 185265.23 193335.69 200290.63 2031240.88 21993.72 208717.99 202215.31 190811.97 211232.41 245358.74 201458.67 190114.88 188146.32 195
myMVS_eth3d28418.40 184473.07 186254.39 191261.18 190313.04 2041172.79 21674.16 196929.18 216264.68 198745.72 201139.03 211318.91 196549.18 205121.71 194131.21 187
testing222430.52 185487.50 189259.56 192379.87 210282.69 2021138.34 21481.30 200880.86 212281.58 202834.27 213135.83 209333.22 199514.90 201140.56 198162.76 199
EG-PatchMatch MVS437.03 186493.12 190268.77 194264.80 191260.20 1991491.80 22598.00 212723.20 204238.80 194722.40 19963.10 184382.00 207629.00 212207.00 219164.10 202
ADS-MVSNet2443.33 187482.84 187324.79 206434.94 219387.73 2171110.57 21187.69 204887.02 213282.92 203779.29 20398.57 196422.76 215502.40 193162.19 208163.87 200
ADS-MVSNet443.33 187482.84 187324.79 206434.94 219387.73 2171110.57 21187.69 204887.02 213282.92 203779.29 20398.57 196422.76 215502.40 193162.19 208163.87 200
ETVMVS443.50 189498.07 191279.78 195378.05 209321.57 2091163.68 21587.12 203897.50 215269.81 201822.83 212141.20 212334.53 200568.21 207154.21 199183.26 206
MVP-Stereo473.58 190533.67 192293.33 197376.00 207318.00 2051461.00 22396.00 209835.00 210290.00 206804.00 20897.00 194383.00 209688.00 220156.00 201179.00 204
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 190533.67 192293.33 197376.00 207318.00 2051461.00 22396.00 209835.00 210290.00 206804.00 20897.00 194383.00 209688.00 220156.00 201179.00 204
testing3-2489.51 192555.88 195290.42 196362.21 204319.27 2071424.84 22288.81 206964.80 217309.62 209879.13 215174.38 221363.98 202643.82 216155.29 200188.01 207
PatchmatchNetpermissive492.52 193551.22 194316.40 204400.20 215357.90 2151277.10 220115.80 2201034.60 226315.90 210874.00 214155.10 215402.20 212629.50 213158.80 205189.10 208
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmvs501.65 194567.42 196304.33 200395.39 214356.32 2141512.04 226216.53 249994.15 219350.16 215804.16 210119.38 204380.98 206555.14 206159.87 206175.69 203
DELS-MVS514.57 195587.73 198295.12 199343.03 201328.09 2121540.48 227116.22 221988.59 218325.44 213906.22 216119.86 205365.72 205788.60 224161.09 207191.55 210
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
DP-MVS Recon516.25 196581.17 197321.48 205361.02 203429.00 2211995.36 23378.48 199796.20 209283.32 205796.02 20796.78 193382.98 208636.72 214186.66 216152.46 197
gg-mvs-nofinetune594.69 197605.37 199562.67 227617.29 235500.33 225772.30 189413.12 270579.21 188552.71 234567.40 184662.54 289531.67 219503.93 195779.80 267656.02 251
SR-MVS610.10 198610.10 200610.10 232610.10 229610.10 242610.10 183610.10 294610.10 194610.10 241610.10 190610.10 277610.10 235610.10 209610.10 250610.10 248
CR-MVSNet612.36 199617.81 202596.01 230611.29 231600.33 239790.30 190513.12 285579.21 188552.71 234567.40 184662.54 289531.67 219503.93 195779.80 267656.02 251
IterMVS615.05 200691.66 203385.23 210516.40 222454.80 2221863.80 231102.10 2171142.20 228364.10 2161093.20 230135.00 208480.40 218826.90 225181.20 213220.50 214
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 201700.96 204362.78 208426.10 218409.25 2191822.69 230124.42 2321186.23 229366.85 2171079.42 228190.60 233451.78 217930.72 229181.59 214227.30 215
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
WBMVS655.88 202770.84 207310.98 203391.79 213353.00 2132280.68 23599.17 2161776.79 249301.20 2081123.23 231187.34 231390.28 211620.39 211156.98 203189.66 209
ACMH+729.97 2661.38 203754.00 205383.51 209368.96 205376.38 2162483.74 24782.42 2011089.25 227333.39 2141219.68 23266.53 186573.60 232957.86 230184.14 215200.56 213
SSC-MVS3.2667.82 204787.71 208308.16 201385.94 211327.65 2101718.51 228117.00 2221942.46 254317.12 2111488.73 245183.89 222404.82 213763.70 222172.02 211192.01 211
UBG667.82 204787.71 208308.16 201385.94 211327.65 2101718.51 228117.00 2221942.46 254317.12 2111488.73 245183.89 222404.82 213763.70 222172.02 211192.01 211
Gipumacopyleft689.75 206767.00 206458.00 219613.00 234549.00 2371943.00 232187.00 2461230.00 230518.00 2311092.00 229203.00 239564.00 224892.00 228225.00 229261.00 223
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
IterMVS-LS758.94 207856.56 212466.10 220606.60 227546.80 2352309.90 236122.20 2311402.80 234463.50 2211348.20 234192.60 234574.60 2331028.60 240234.60 231276.90 225
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
new-patchmatchnet766.12 208859.03 213487.38 223595.68 224536.14 2272346.27 237142.51 2371488.08 236422.43 2181361.32 236163.65 218628.60 2371003.74 239207.61 220297.41 229
SixPastTwentyTwo773.62 209869.37 215486.35 222603.45 226547.15 2362532.14 248106.92 2191434.95 235428.08 2191360.56 235165.15 219628.96 238984.09 231209.01 221282.94 226
mvs_anonymous774.90 210882.28 216452.77 212636.50 236537.20 2282348.80 238120.30 2241504.30 237474.40 2221371.10 237186.90 224564.70 2251078.90 242219.30 222256.40 216
casdiffmvspermissive774.90 210882.28 216452.77 212636.50 236537.20 2282348.80 238120.30 2241504.30 237474.40 2221371.10 237186.90 224564.70 2251078.90 242219.30 222256.40 216
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 210882.28 216452.77 212636.50 236537.20 2282348.80 238120.30 2241504.30 237474.40 2221371.10 237186.90 224564.70 2251078.90 242219.30 222256.40 216
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 210882.28 216452.77 212636.50 236537.20 2282348.80 238120.30 2241504.30 237474.40 2221371.10 237186.90 224564.70 2251078.90 242219.30 222256.40 216
baseline1774.90 210882.28 216452.77 212636.50 236537.20 2282348.80 238120.30 2241504.30 237474.40 2221371.10 237186.90 224564.70 2251078.90 242219.30 222256.40 216
casdiffmvs_mvgpermissive774.90 210882.28 216452.77 212636.50 236537.20 2282348.80 238120.30 2241504.30 237474.40 2221371.10 237186.90 224564.70 2251078.90 242219.30 222256.40 216
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 210882.28 216452.77 212636.50 236537.20 2282348.80 238120.30 2241504.30 237474.40 2221371.10 237186.90 224564.70 2251078.90 242219.30 222256.40 216
RPMNet787.26 217829.13 210661.63 236885.90 251895.90 259455.98 181610.10 2941297.17 2311002.26 2631001.67 226655.98 287611.10 236667.90 217885.21 279477.90 245
JIA-IIPM804.30 218835.64 211710.26 241885.90 251895.90 259455.98 181668.73 2991297.17 2311002.26 2631001.67 226655.98 287756.98 242667.90 217885.21 279477.90 245
CSCG826.03 219963.29 224414.24 211421.52 217426.11 2202230.35 234179.52 2451827.44 250733.43 251933.12 218281.25 247545.23 2231800.35 259262.64 233271.38 224
PVSNet1207.94 6829.56 220937.18 223506.69 224645.55 243585.72 2382477.98 246130.52 2331578.29 245509.50 2301460.01 244194.90 235637.19 2391170.78 250267.07 235297.17 228
PatchT856.34 221860.99 214842.38 2461290.90 266880.90 257790.30 1901267.30 317579.21 188923.90 253567.40 184662.54 289990.23 250887.56 227779.80 267656.02 251
K. test v3877.74 222980.16 225570.46 2291316.85 268813.15 2542565.52 249103.78 2181509.49 244548.33 2331258.90 233219.93 244587.82 2341102.37 249196.30 217310.42 231
MVSTER890.06 2231005.91 232542.52 225736.13 248653.90 2462616.56 250145.22 2391692.10 248555.69 2371554.72 248266.25 246660.02 2401219.66 251266.84 234313.64 232
PMVScopyleft863.65 3957.08 2241054.11 233666.00 238401.00 216495.00 2243790.00 255279.00 2511607.00 247521.00 2321745.00 25090.00 1891105.00 261639.00 215415.00 246398.00 243
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ACMH993.80 5967.92 2251106.11 235553.33 226494.00 221534.00 2263581.00 253136.00 2341585.00 246478.00 2291871.00 25290.00 189839.00 2441460.00 253260.00 232287.00 227
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet_01661.03 9968.54 2261066.82 234673.70 239706.94 246695.69 2472669.02 251153.52 2412108.17 257605.54 2391679.14 249213.26 243886.75 2471236.76 252229.01 230438.67 244
OurMVSNet-221017-0999.00 227999.00 226999.00 247999.00 256999.00 261999.00 203999.00 310999.00 220999.00 256999.00 219999.00 302999.00 252999.00 232999.00 286999.00 283
EPMVS999.00 227999.00 226999.00 247999.00 256999.00 261999.00 203999.00 310999.00 220999.00 256999.00 219999.00 302999.00 252999.00 232999.00 286999.00 283
uanet_test1000.00 2291000.00 2281000.00 2501000.00 2591000.00 2641000.00 2061000.00 3131000.00 2221000.00 2591000.00 2221000.00 3051000.00 2551000.00 2351000.00 2891000.00 286
sosnet1000.00 2291000.00 2281000.00 2501000.00 2591000.00 2641000.00 2061000.00 3131000.00 2221000.00 2591000.00 2221000.00 3051000.00 2551000.00 2351000.00 2891000.00 286
USDC1000.00 2291000.00 2281000.00 2501000.00 2591000.00 2641000.00 2061000.00 3131000.00 2221000.00 2591000.00 2221000.00 3051000.00 2551000.00 2351000.00 2891000.00 286
TinyColmap1000.00 2291000.00 2281000.00 2501000.00 2591000.00 2641000.00 2061000.00 3131000.00 2221000.00 2591000.00 2221000.00 3051000.00 2551000.00 2351000.00 2891000.00 286
ACMP1246.57 71086.24 2331235.17 237639.45 233596.53 225639.91 2443904.24 256152.04 2401851.54 251566.58 2381997.95 254138.50 210938.30 2481605.46 255303.70 241340.14 234
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Patchmtry1090.75 2341198.88 236766.38 2451290.90 266485.90 2232423.98 2451267.30 3171297.17 231923.90 253923.40 2171215.54 310990.23 250667.90 217779.80 267823.02 265
test_04021110.00 2351260.00 238660.00 235900.00 254780.00 2533300.00 252210.00 2482040.00 256690.00 2461950.00 253300.00 250810.00 2431620.00 256330.00 242390.00 242
MVS_111021_LR1136.45 2361298.72 239649.64 234756.17 249726.26 2503785.94 254138.15 2362190.64 258629.63 2442064.39 255165.45 220874.83 2461678.43 258279.70 236347.82 237
ACMM1311.08 81165.06 2371332.72 240662.07 237584.90 223715.99 2494373.59 260153.99 2421880.27 252709.02 2482316.97 256188.63 232939.89 2491484.30 254302.78 240330.34 233
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++1242.93 2381411.08 241738.48 243712.71 247712.68 2484168.17 258136.50 2352276.40 259613.28 2432368.60 259161.61 2171130.38 2621964.54 262297.88 238372.39 239
MG-MVS1256.50 2391432.00 242730.00 242610.00 228760.00 2514720.00 261169.00 2431920.00 253723.00 2502510.00 262201.00 2371050.00 2591645.00 257390.00 245380.00 240
ACMMPR1296.60 2401480.82 243743.96 244899.25 253763.47 2524305.47 259143.90 2382530.94 262683.99 2452346.34 258201.65 2381098.25 2601920.59 261295.21 237370.16 238
TSAR-MVS + GP.1386.84 2411622.84 245678.81 240952.13 255840.17 2565358.21 264170.75 2442650.47 263713.54 2492394.28 260209.42 242855.56 2451854.36 260302.42 239340.71 235
FPMVS1407.00 2421495.59 2441141.23 255648.01 244893.85 2584124.00 257503.81 2843219.04 265742.72 2522498.84 261157.98 2161727.83 268832.93 226732.98 266802.00 260
DeepC-MVS_fast2190.19 121535.59 2431886.82 247481.89 221847.73 250830.16 2557943.84 280189.23 2472398.83 260691.73 2472341.13 257209.16 241230.25 1861999.25 263360.46 243385.25 241
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
COLMAP_ROBcopyleft2144.59 111658.33 2441869.33 2461025.33 2541030.00 2631023.00 2685311.00 263359.00 2603044.00 264937.00 2552892.00 263332.00 2541440.00 2652312.00 265607.00 249613.00 250
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 2452113.11 2481173.33 2581231.00 2641174.00 2696297.00 266392.00 2653356.00 2671087.00 2653082.00 264361.00 2581670.00 2672523.00 267689.00 256676.00 255
OpenMVS_ROBcopyleft1936.51 101959.51 2462224.88 2501163.39 2571253.91 2651434.22 2727065.71 270272.76 2502472.29 2611647.54 2953538.72 267200.37 2361496.48 2662575.17 268997.45 285559.48 247
CMPMVSbinary2623.62 151983.08 2472156.14 2491463.89 2681414.80 2701517.00 2745239.20 262867.40 3043310.30 2661128.70 2673489.90 266366.75 2592030.20 2792427.60 2661160.60 298844.46 268
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MVS-HIRNet2125.39 2482452.68 2511143.53 2562938.33 3111446.92 2736083.19 265391.74 2643801.71 2701202.10 2693439.72 265492.73 2681304.35 2643048.25 272676.32 255679.32 256
PLCcopyleft2858.82 162192.92 2492474.00 2521349.67 2601407.00 2691356.00 2717164.00 271475.00 2773970.00 2711237.00 2723765.00 270451.00 2651891.00 2733006.00 271791.00 272802.00 260
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVScopyleft2352.88 132263.08 2502530.89 2531459.67 2671767.00 2811591.00 2777932.00 279399.00 2663643.00 2681176.00 2683569.00 268297.00 2491927.00 2753302.00 273693.00 261861.00 269
PCF-MVS4335.85 202272.23 2512597.03 2541297.84 2591701.20 2731332.37 2708105.11 281451.45 2734031.84 2721099.10 2663966.50 271467.45 2661734.05 2692701.68 270848.94 276827.11 266
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x4202340.81 2522643.03 2551434.14 2612025.55 2901629.36 2816542.40 267412.49 2674219.70 2741547.02 2834328.52 273650.74 2841798.26 2703333.17 274727.72 263874.79 270
CHOSEN 1792x26882340.81 2522643.03 2551434.14 2612025.55 2901629.36 2816542.40 267412.49 2674219.70 2741547.02 2834328.52 273650.74 2841798.26 2703333.17 274727.72 263874.79 270
HyFIR lowres test2340.81 2522643.03 2551434.14 2612025.55 2901629.36 2816542.40 267412.49 2674219.70 2741547.02 2834328.52 273650.74 2841798.26 2703333.17 274727.72 263874.79 270
3Dnovator2482.06 142531.17 2552839.56 2581606.00 2691732.00 2771557.00 2768375.00 283483.00 2784370.00 2771371.00 2784200.00 272350.00 2562207.00 2803877.00 280798.00 2731054.00 290
tpmrst2557.50 2562847.12 2591688.66 2721784.08 2821778.25 2917445.50 277342.14 2574471.54 2781534.55 2824382.10 276530.10 2722361.21 2834142.81 284991.22 284926.51 275
AdaColmapbinary2570.77 2572948.61 2601437.24 2641873.64 2831526.60 2757819.77 278373.97 2614970.45 2811479.29 2804648.46 278525.80 2711904.97 2744150.42 285695.69 262880.14 273
SD-MVS2654.53 2583055.56 2631451.45 2651725.60 2741598.35 2789203.30 287315.86 2545016.02 2831363.85 2754894.28 281387.23 2602023.43 2763973.88 281620.04 252732.56 257
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
DeepPCF-MVS3452.42 182670.71 2593021.57 2611618.12 2702377.67 2971751.39 2908915.70 286567.44 2924569.74 2791236.84 2714615.63 277513.23 2692291.32 2813515.48 277882.39 278811.66 262
LF4IMVS2699.50 2603049.67 2621649.00 2711755.00 2781689.00 2858330.00 282464.00 2754997.00 2821528.00 2814763.00 280568.00 2752296.00 2824215.00 286827.00 275962.00 280
EGC-MVSNET2819.75 2613096.89 2641988.33 2823105.00 3122241.00 3029480.00 291640.00 2984209.00 2731583.00 2884740.00 279547.00 2742797.00 2952644.00 269924.00 282927.00 276
Vis-MVSNetpermissive2877.42 2623170.00 2651999.67 2831673.00 2722042.00 3008593.00 284474.00 2766452.00 2961268.00 2735125.00 284339.00 2553004.00 2974222.00 287384.00 244953.00 279
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2891.50 2633284.78 2661711.67 2731954.00 2841655.00 28410117.00 300445.00 2725102.00 2861375.00 2795126.00 285351.00 2572638.00 2934402.00 288691.00 259842.00 267
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 2643537.00 2671975.67 2802310.00 2952005.00 29910100.00 299626.00 2975753.00 2871803.00 2985179.00 286487.00 2672622.00 2914550.00 2891025.00 2931300.00 297
DeepC-MVS3917.13 193155.06 2653601.83 2681814.72 2782515.52 3001941.53 29510432.50 301589.42 2934789.45 2801298.65 2747677.31 302578.35 2762589.53 2873611.78 279923.52 281913.10 274
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DPM-MVS3268.00 2663762.89 2691783.33 2761756.00 2791806.00 29212319.00 303307.00 2526319.00 2941557.00 2865763.00 287302.00 2512609.00 2895061.00 292482.00 247935.00 277
OPM-MVS3268.00 2663762.89 2691783.33 2761756.00 2791806.00 29212319.00 303307.00 2526319.00 2941557.00 2865763.00 287302.00 2512609.00 2895061.00 292482.00 247935.00 277
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TAPA-MVS6309.84 213374.90 2683806.99 2712078.63 2852535.47 3012499.25 3108816.16 285456.05 2746255.60 2931664.52 2966704.88 292629.95 2822768.38 2946343.93 306856.35 277968.25 281
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 2694065.89 2761914.35 2792349.10 2962141.30 30112362.70 305417.60 2716717.80 3001759.40 2976497.50 290518.18 2702629.38 2925164.32 294806.40 274972.38 282
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
tpm23617.85 2704007.23 2722449.73 2902012.71 2861698.05 2867351.19 273869.29 3056132.06 2891588.28 2898007.42 3051281.09 3113888.11 3097472.04 3101351.00 3001763.02 306
tpm cat13617.85 2704007.23 2722449.73 2902012.71 2861698.05 2867351.19 273869.29 3056132.06 2891588.28 2898007.42 3051281.09 3113888.11 3097472.04 3101351.00 3001763.02 306
CostFormer3617.85 2704007.23 2722449.73 2902012.71 2861698.05 2867351.19 273869.29 3056132.06 2891588.28 2898007.42 3051281.09 3113888.11 3097472.04 3101351.00 3001763.02 306
tpm3617.85 2704007.23 2722449.73 2902012.71 2861698.05 2867351.19 273869.29 3056132.06 2891588.28 2898007.42 3051281.09 3113888.11 3097472.04 3101351.00 3001763.02 306
MVS_111021_HR3742.80 2744330.34 2771980.20 2812484.31 2992259.52 30314973.80 310515.90 2916500.13 2971949.21 3006146.89 289535.66 2732593.66 2884880.76 291986.37 2831087.43 291
MAR-MVS3973.16 2754387.92 2782728.86 2963345.27 3133341.39 31711403.90 302798.76 3026555.62 2992569.29 3106514.86 291834.97 2963237.43 3065891.08 2971577.54 3051607.76 298
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
DVP-MVS++3981.10 2764731.32 2811730.42 2742191.51 2931949.98 29616473.90 312355.33 2587172.90 3051622.98 2937879.79 303434.33 2632428.11 2855762.12 295689.04 257813.18 263
DVP-MVScopyleft3981.10 2764731.32 2811730.42 2742191.51 2931949.98 29616473.90 312355.33 2587172.90 3051622.98 2937879.79 303434.33 2632428.11 2855762.12 295689.04 257813.18 263
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 2784533.33 2792400.00 2892400.00 2982400.00 3047200.00 2722400.00 3217200.00 3072400.00 3097200.00 2972400.00 3152400.00 2847200.00 3082400.00 3122400.00 311
SED-MVS4062.74 2794671.13 2802237.56 2862643.17 3022465.14 30513996.40 307493.26 2797619.38 3082107.24 3017416.93 299610.24 2793088.29 3026075.14 3021078.39 2941159.26 292
MSP-MVS4296.20 2804911.12 2842451.45 2942725.60 3072598.35 31116203.30 311515.86 2877016.02 3012363.85 3056894.28 293887.23 2973023.43 2985973.88 2981620.04 3061732.56 302
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
API-MVS4380.83 2814906.56 2832803.67 2973844.00 3143116.00 31613454.00 306901.00 3096511.00 2982794.00 3117365.00 298754.00 2933634.00 3076622.00 3071914.00 3111661.00 301
OMC-MVS5022.26 2825748.82 2852842.58 2984905.27 3163101.27 31514933.60 309812.24 3039278.40 3122959.29 3128800.17 3091092.24 3093806.30 3087568.54 3141389.60 3041620.18 300
CLD-MVS7338.25 2838341.00 2864330.00 2994902.00 3154991.00 31823318.00 315728.00 30114437.00 3224378.00 31413379.00 317824.00 2955708.00 31311429.00 3231674.00 3102291.00 310
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 2848776.23 2874410.16 3005298.55 3175631.53 31934329.90 3171504.57 31911554.00 3213896.41 31315111.00 318812.19 2945985.63 3143516.20 2782963.23 3131613.31 299
ZNCC-MVS9999.00 2859999.00 2889999.00 3029999.00 3209999.00 3229999.00 2929999.00 3259999.00 3139999.00 3179999.00 3109999.00 3189999.00 3159999.00 3159999.00 3169999.00 314
patch_mono-210000.00 28610000.00 28910000.00 30310000.00 32110000.00 32310000.00 29310000.00 32610000.00 31410000.00 31810000.00 31110000.00 31910000.00 31610000.00 31610000.00 31710000.00 315
dcpmvs_210000.00 28610000.00 28910000.00 30310000.00 32110000.00 32310000.00 29310000.00 32610000.00 31410000.00 31810000.00 31110000.00 31910000.00 31610000.00 31610000.00 31710000.00 315
DCPMVS10000.00 28610000.00 28910000.00 30310000.00 32110000.00 32310000.00 29310000.00 32610000.00 31410000.00 31810000.00 31110000.00 31910000.00 31610000.00 31610000.00 31710000.00 315
UA-Net10000.00 28610000.00 28910000.00 30310000.00 32110000.00 32310000.00 29310000.00 32610000.00 31410000.00 31810000.00 31110000.00 31910000.00 31610000.00 31610000.00 31710000.00 315
uncertanet10000.00 28610000.00 28910000.00 30310000.00 32110000.00 32310000.00 29310000.00 32610000.00 31410000.00 31810000.00 31110000.00 31910000.00 31610000.00 31610000.00 31710000.00 315
uanet10000.00 28610000.00 28910000.00 30310000.00 32110000.00 32310000.00 29310000.00 32610000.00 31410000.00 31810000.00 31110000.00 31910000.00 31610000.00 31610000.00 31710000.00 315
MVEpermissive10021.00 2210550.67 29210002.44 29512195.33 3096242.00 3188768.00 32130896.00 3164451.00 32210331.00 3206247.00 31518296.00 319283.00 24821484.00 3237364.00 3095912.00 3156334.00 313
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 29311772.44 2967637.33 3019120.00 3198206.00 32022252.00 3142010.00 32024984.00 3237458.00 31622596.00 3202940.00 31610260.00 32211100.00 3223492.00 3144446.00 312
LTVRE_ROB20565.47 2323378.08 29422805.00 29725097.33 31015500.00 32719201.00 32942712.00 3186055.00 32338388.00 32416926.00 32438534.00 3217071.00 31735653.00 32429475.00 32410584.00 32320438.00 322
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 29534443.44 29827094.33 31129249.00 32825246.00 33051144.00 3196705.00 32442886.00 32522888.00 32548534.00 32213263.00 32537507.00 32579298.00 32516024.00 32418530.00 321
114514_t99999.00 29699999.00 29999999.00 31299999.00 32999999.00 33199999.00 32099999.00 33299999.00 32699999.00 32699999.00 32399999.00 32699999.00 32699999.00 32699999.00 32599999.00 323
PHI-MVS99999.00 29699999.00 29999999.00 31299999.00 32999999.00 33199999.00 32099999.00 33299999.00 32699999.00 32699999.00 32399999.00 32699999.00 32699999.00 32699999.00 32599999.00 323
MP-MVS-pluss833433.63 2981111219.60 30475.70 15974.28 16373.29 166284.50 16411.35 159238.58 16865.86 164255.35 17614.55 157115.69 17810000000.00 33131.94 15738.12 163
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MTAPA833442.10 2991111233.77 30567.09 15565.59 16264.81 165284.50 16410000000.00 337219.97 16759.62 163229.89 17112.72 156103.00 176203.67 17727.93 15633.46 155
XVG-OURS-SEG-HR999999.00 300999999.00 301999999.00 314999999.00 331999999.00 333999999.00 322999999.00 334999999.00 328999999.00 328999999.00 325999999.00 328999999.00 328999999.00 328999999.00 327999999.00 325
XVG-OURS999999.00 300999999.00 301999999.00 314999999.00 331999999.00 333999999.00 322999999.00 334999999.00 328999999.00 328999999.00 325999999.00 328999999.00 328999999.00 328999999.00 327999999.00 325
XVG-ACMP-BASELINE999999.00 300999999.00 301999999.00 314999999.00 331999999.00 333999999.00 322999999.00 334999999.00 328999999.00 328999999.00 325999999.00 328999999.00 328999999.00 328999999.00 327999999.00 325
MVSMamba_PlusPlus10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
MGCFI-Net10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
sasdasda10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
dmvs_re10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
SDMVSNet10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
dmvs_testset10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
sd_testset10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
balanced_conf0310000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
MonoMVSNet10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
test250610000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
test111110000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
ECVR-MVScopyleft10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
test_blank10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
tt080510000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
Anonymous2024052110000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
cl2210000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
miper_ehance_all_eth10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
miper_enhance_ethall10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
cl____10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
DIV-MVS_self_test10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
eth_miper_zixun_eth10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
ET-MVSNet_ETH3D10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
UniMVSNet_ETH3D10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
miper_lstm_enhance10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
D2MVS10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
test_yl10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
thisisatest053010000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
Anonymous2024052910000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
Anonymous20240521110000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
DCV-MVSNet10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
tttt051710000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
our_test_310000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
thisisatest051510000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
ppachtmachnet_test10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
SMA-MVScopyleft10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
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 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
tfpnnormal10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
tfpn200view910000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
c3_l10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
IterMVS-SCA-FT10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
pmmvs610000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
pmmvs510000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
Anonymous2023121110000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
pmmvs-eth3d10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
Anonymous2023120610000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
SCA10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
Patchmatch-test10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
Patchmatch-RL test10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
canonicalmvs10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
anonymousdsp10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
FIs10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
FC-MVSNet-test10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
sosnet-low-res10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
AllTest10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
RRT-MVS10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
mamv410000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
HPM-MVS++copyleft10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
XVS10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
pm-mvs110000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
X-MVStestdata10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
APDe-MVScopyleft10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
pmmvs410000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
test-LLR10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
TESTMET0.1,110000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
test-mter10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
testgi10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
test20.0310000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
thres600view710000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
MP-MVScopyleft10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
thres40010000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
test12310000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
thres20010000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
test0.0.03 110000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
pmmvs310000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
EMVS10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
E-PMN10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
PGM-MVS10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
MCST-MVS10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
MVS_Test10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
PMMVS210000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
PM-MVS10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
HQP_MVS10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
mPP-MVS10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
mvsmamba10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
HPM-MVS_fast10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
HPM-MVScopyleft10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
EPNet_dtu10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
NCCC10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
CP-MVS10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
CPTT-MVS10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
HQP-MVS10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
IS-MVSNet10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
PAPM_NR10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
PAPR10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
Vis-MVSNet (Re-imp)10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
PatchMatch-RL10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
TDRefinement10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
EPP-MVSNet10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
PMMVS10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
PAPM10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
ACMMPcopyleft10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
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 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
wuyk23d10000000.00 30310000000.00 30610000000.00 31710000000.00 33410000000.00 33610000000.00 32510000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
APD-MVScopyleft1000000000.00 4121000000000.00 4151000000000.00 4281000000000.00 4531000000000.00 4531000000000.00 4391000000000.00 4531000000000.00 4461000000000.00 4471000000000.00 4441000000000.00 4491000000000.00 4471000000000.00 4461000000000.00 4451000000000.00 443
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
WAC-MVS248.46 195422.23 188
FOURS12643.17 3022465.14 30513996.40 307493.26 2797619.38 3082107.24 301
MSC_two_6792asdad2237.56 2862643.17 3022465.14 305493.26 2793088.29 3026075.14 3021078.39 2941159.26 292
PC_three_14527619.38 3082107.24 3017416.93 299610.24 2793088.29 3026075.14 3021078.39 2941159.26 292
No_MVS2237.56 2862643.17 3022465.14 305493.26 2793088.29 3026075.14 3021078.39 2941159.26 292
test_one_06012643.17 3022465.14 305493.26 2797619.38 3082107.24 3017416.93 299610.24 279
eth-test21.42 88
eth-test10000000.00 334
ZD-MVS1584.00 2711821.00 294378.00 2633721.00 2691231.00 2701833.00 251321.00 2531224.00 2632103.00 264692.00 260
RE-MVS-def610.10 200610.10 229610.10 242610.10 183610.10 294610.10 194610.10 241610.10 190610.10 277610.10 209610.10 250610.10 248
IU-MVS2725.60 3072598.35 311515.86 2877016.02 3012363.85 3055973.88 2981620.04 3061732.56 302
OPU-MVS2451.45 2942725.60 3072598.35 3119203.30 2876894.28 293887.23 2973023.43 2985973.88 2981620.04 3061732.56 302
test_241102_TWO515.86 2877016.02 3012363.85 3056894.28 293887.23 2973023.43 2985973.88 2981620.04 3061732.56 302
test_241102_ONE2725.60 3072598.35 311515.86 2877016.02 3012363.85 3056894.28 293887.23 2973023.43 298
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
test_0728_THIRD5016.02 2831363.85 2754894.28 281387.23 2602023.43 2763973.88 281620.04 252732.56 257
test_0728_SECOND1451.45 2651725.60 2741598.35 2789203.30 287315.86 2542023.43 2763973.88 281620.04 252732.56 257
test07261725.60 2741598.35 2789203.30 287315.86 2545016.02 2831363.85 2754894.28 281387.23 260
GSMVS10000000.00 328
test_part210000000.00 33410000000.00 33610000000.00 331
sam_mvs110000000.00 33110000000.00 328
sam_mvs10000000.00 331
ambc999.00 247999.00 256999.00 261999.00 203999.00 310999.00 256999.00 219999.00 302999.00 252999.00 232999.00 286999.00 283
MTGPAbinary10000000.00 337
test_post110000000.00 32510000000.00 32810000000.00 33110000000.00 33110000000.00 331
test_post10000000.00 32810000000.00 33110000000.00 331
patchmatchnet-post10000000.00 32810000000.00 33110000000.00 331
GG-mvs-BLEND596.01 230611.29 231600.33 239790.30 190513.12 285552.71 234567.40 184662.54 289531.67 219503.93 195779.80 267656.02 251
MTMP10000000.00 32510000000.00 337
gm-plane-assit611.29 231600.33 239579.21 188567.40 184531.67 219503.93 195
test9_res0.00 10.00 10.00 1
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
agg_prior0.00 10.00 10.00 10.00 10.00 1
TestCases10000000.00 31710000000.00 33410000000.00 33610000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
test_prior40.00 10.00 1
test_prior20.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_prior0.00 10.00 10.00 10.00 10.00 10.00 1
旧先验20.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
新几何10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
旧先验10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
无先验0.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM20.00 1
原ACMM10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test2220.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
testdata0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata10.00 10.00 1
test120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
plane_prior710000000.00 33410000000.00 336
plane_prior610000000.00 33410000000.00 33610000000.00 331
plane_prior510000000.00 33710000000.00 33110000000.00 33110000000.00 33010000000.00 328
plane_prior410000000.00 328
plane_prior310000000.00 33610000000.00 33110000000.00 331
plane_prior210000000.00 32510000000.00 331
plane_prior110000000.00 334
plane_prior1.00 822.00 1202.00 1212.00 119
n214.20 162
nn1.42 90
door-mid1.42 90
lessismore_v0569.20 228667.25 245644.68 24596.45 211428.86 2201514.17 247204.21 240756.58 2411061.60 241197.79 218306.34 230
LGP-MVS_train10000000.00 31710000000.00 33410000000.00 33610000000.00 33710000000.00 33110000000.00 33110000000.00 32810000000.00 33110000000.00 33110000000.00 33110000000.00 33010000000.00 328
test111.00 83
door99.00 215
HQP5-MVS10000000.00 336
HQP-NCC10000000.00 33410000000.00 32510000000.00 33110000000.00 331
ACMP_Plane10000000.00 33410000000.00 32510000000.00 33110000000.00 331
BP-MVS10000000.00 331
HQP4-MVS10000000.00 33110000000.00 33110000000.00 328
HQP3-MVS10000000.00 33710000000.00 330
HQP2-MVS10000000.00 331
NP-MVS10000000.00 33410000000.00 33610000000.00 328
MDTV_nov1_ep13_2view9.99 1429.99 1409.99 1419.99 1409.99 1429.99 1389.99 141
MDTV_nov1_ep139.99 1289.99 1419.99 1429.99 1409.99 1489.99 1419.99 1409.99 1379.99 1429.99 1419.99 1389.99 142
ACMMP++_ref10000000.00 330
ACMMP++10000000.00 330
Test By Simon990.00 301
ITE_SJBPF2014.00 2841998.00 2851992.00 298701.00 3005989.00 2881812.00 2993612.00 269650.00 2832852.00 2964601.00 2901195.00 2991198.00 296
DeepMVS_CXcopyleft1.00 751.00 821.00 821.00 831.00 821.00 811.00 791.00 811.00 821.00 801.00 801.00 80