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 bysort bysort bysorted bysort bysort bysort bysort bysort by
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
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
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
原ACMM10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test2220.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
13140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
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-mvs330.30 360.30 370.30 410.30 480.30 480.30 480.30 490.30 480.30 470.30 450.30 470.30 480.30 460.30 460.30 46
hse-mvs20.30 360.30 370.30 410.30 480.30 480.30 480.30 490.30 480.30 470.30 450.30 470.30 480.30 460.30 460.30 46
CL-MVSNet_self_test0.30 360.30 370.30 410.30 480.30 480.30 480.30 490.30 480.30 470.30 450.30 470.30 480.30 460.30 460.30 46
AUN-MVS0.30 360.30 370.30 410.30 480.30 480.30 480.30 490.30 480.30 470.30 450.30 470.30 480.30 460.30 460.30 46
LCM-MVSNet0.37 400.36 410.37 450.37 520.37 520.37 520.32 530.37 520.37 510.37 490.37 510.37 520.37 500.37 500.37 50
v1441920.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v19219200.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v11920.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v11440.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v1480.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v7n0.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v12400.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v80.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v100.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v2v4820.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
V420.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
GA-MVS0.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
Fast-Effi-MVS+0.41 530.40 420.41 580.41 650.41 650.41 650.35 540.41 650.41 640.41 620.41 640.41 650.41 630.41 630.41 63
Fast-Effi-MVS+-dtu0.44 540.44 550.44 590.44 660.44 660.44 660.44 670.44 660.44 650.44 630.44 650.44 660.44 640.44 640.44 64
Effi-MVS+-dtu0.59 560.61 580.53 600.68 740.53 670.53 670.68 750.68 740.53 660.53 640.68 730.53 670.68 720.53 650.53 65
KD-MVS_self_test0.60 570.60 570.60 610.60 680.60 680.60 690.60 690.60 680.60 670.60 650.60 670.60 680.60 650.60 670.60 66
EIA-MVS0.62 580.62 590.62 620.62 690.62 690.62 700.62 700.62 690.62 680.62 660.62 680.62 690.62 660.62 680.62 67
ETV-MVS0.62 580.62 590.62 620.62 690.62 690.62 700.62 700.62 690.62 680.62 660.62 680.62 690.62 660.62 680.62 67
CS-MVS0.62 580.62 590.62 620.62 690.62 690.62 700.62 700.62 690.62 680.62 660.62 680.62 690.62 660.62 680.62 67
CS-MVS-test0.62 580.62 590.62 620.62 690.62 690.62 700.62 700.62 690.62 680.62 660.62 680.62 690.62 660.62 680.62 67
Effi-MVS+0.58 550.56 560.62 620.53 670.62 690.53 670.53 680.53 670.62 680.62 660.53 660.62 690.62 660.53 650.62 67
EC-MVSNet0.62 580.62 590.62 620.62 690.62 690.62 700.62 700.62 690.62 680.62 660.62 680.62 690.62 660.62 680.62 67
CDS-MVSNet0.88 630.88 640.88 680.88 750.88 750.88 750.88 760.88 750.88 740.88 720.88 740.88 750.88 730.88 730.88 73
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 630.88 640.88 680.88 750.88 750.88 750.88 760.88 750.88 740.88 720.88 740.88 750.88 730.88 730.88 73
LCM-MVSNet-Re0.89 650.89 660.89 700.89 770.89 770.89 770.89 780.89 770.89 760.89 740.89 760.89 770.89 750.89 750.89 75
DeepMVS_CXcopyleft1.00 711.00 781.00 781.00 791.00 781.00 771.00 751.00 771.00 781.00 761.00 761.00 76
MDA-MVSNet-bldmvs1.20 661.20 671.20 721.20 791.20 801.20 781.20 811.20 791.20 781.20 761.20 781.20 791.20 771.20 771.20 77
YYNet11.20 661.20 671.20 721.20 791.20 801.20 781.20 811.20 791.20 781.20 761.20 781.20 791.20 771.20 771.20 77
MDA-MVSNet_test_wron1.20 661.20 671.20 721.20 791.20 801.20 781.20 811.20 791.20 781.20 761.20 781.20 791.20 771.20 771.20 77
KD-MVS_2432*16001.30 691.30 701.30 751.30 821.30 831.30 811.30 841.30 821.30 811.30 791.30 811.30 821.30 801.30 801.30 80
miper_refine_blended1.30 691.30 701.30 751.30 821.30 831.30 811.30 841.30 821.30 811.30 791.30 811.30 821.30 801.30 801.30 80
EI-MVSNet-UG-set1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
EI-MVSNet-Vis-set1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
EI-MVSNet1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
Regformer1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
CVMVSNet1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
EU-MVSNet1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
PS-CasMVS1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
UniMVSNet_NR-MVSNet1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
PEN-MVS1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
TransMVSNet (Re)1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
DTE-MVSNet1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
DU-MVS1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
UniMVSNet (Re)1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
CP-MVSNet1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
WR-MVS_H1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
WR-MVS1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
NR-MVSNet1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
Baseline_NR-MVSNet1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
TranMVSNet+NR-MVSNet1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
MVSFormer1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
jason1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
jason: jason.
lupinMVS1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
test_djsdf1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
alignmvs2.00 942.00 952.00 1002.00 1082.00 1082.00 1062.00 1112.00 1072.00 1062.00 1042.00 1062.00 1072.00 1052.00 1052.00 105
nrg0302.00 942.00 952.00 1002.00 1082.00 1082.00 1062.00 1112.00 1072.00 1062.00 1042.00 1062.00 1072.00 1052.00 1052.00 105
LFMVS2.00 942.00 952.00 1002.00 1082.00 1082.00 1062.00 1112.00 1072.00 1062.00 1042.00 1062.00 1072.00 1052.00 1052.00 105
VDD-MVS2.00 942.00 952.00 1002.00 1082.00 1082.00 1062.00 1112.00 1072.00 1062.00 1042.00 1062.00 1072.00 1052.00 1052.00 105
VDDNet2.00 942.00 952.00 1002.00 1082.00 1082.00 1062.00 1112.00 1072.00 1062.00 1042.00 1062.00 1072.00 1052.00 1052.00 105
VPNet2.00 942.00 952.00 1002.00 1082.00 1082.00 1062.00 1112.00 1072.00 1062.00 1042.00 1062.00 1072.00 1052.00 1052.00 105
VNet2.00 942.00 952.00 1002.00 1082.00 1082.00 1062.00 1112.00 1072.00 1062.00 1042.00 1062.00 1072.00 1052.00 1052.00 105
VPA-MVSNet2.00 942.00 952.00 1002.00 1082.00 1082.00 1062.00 1112.00 1072.00 1062.00 1042.00 1062.00 1072.00 1052.00 1052.00 105
cascas2.00 942.00 952.00 1002.00 1082.00 1082.00 1062.00 1112.00 1072.00 1062.00 1042.00 1062.00 1072.00 1052.00 1052.00 105
UnsupCasMVSNet_eth5.90 1035.90 1045.90 1095.90 1175.90 1175.90 1165.90 1235.90 1175.90 1155.90 1135.90 1175.90 1165.90 1145.90 1175.90 117
UnsupCasMVSNet_bld5.90 1035.90 1045.90 1095.90 1175.90 1175.90 1165.90 1235.90 1175.90 1155.90 1135.90 1175.90 1165.90 1145.90 1175.90 117
WTY-MVS5.90 1035.90 1045.90 1095.90 1175.90 1175.90 1165.90 1235.90 1175.90 1155.90 1135.90 1175.90 1165.90 1145.90 1175.90 117
HY-MVS5.90 15.90 1035.90 1045.90 1095.90 1175.90 1175.90 1165.90 1235.90 1175.90 1155.90 1135.90 1175.90 1165.90 1145.90 1175.90 117
sss5.90 1035.90 1045.90 1095.90 1175.90 1175.90 1165.90 1235.90 1175.90 1155.90 1135.90 1175.90 1165.90 1145.90 1175.90 117
Test_1112_low_res5.90 1035.90 1045.90 1095.90 1175.90 1175.90 1165.90 1235.90 1175.90 1155.90 1135.90 1175.90 1165.90 1145.90 1175.90 117
1112_ss5.90 1035.90 1045.90 1095.90 1175.90 1175.90 1165.90 1235.90 1175.90 1155.90 1135.90 1175.90 1165.90 1145.90 1175.90 117
ab-mvs-re5.90 1035.90 1045.90 1095.90 1175.90 1175.90 1165.90 1235.90 1175.90 1155.90 1135.90 1175.90 1165.90 1145.90 1175.90 117
ab-mvs5.90 1035.90 1045.90 1095.90 1175.90 1175.90 1165.90 1235.90 1175.90 1155.90 1135.90 1175.90 1165.90 1145.90 1175.90 117
CDPH-MVS6.66 1126.66 1136.66 1186.66 1266.66 1266.66 1256.66 1326.66 1266.66 1246.66 1226.66 1266.66 1256.66 1236.66 1266.66 126
MDTV_nov1_ep139.99 1149.99 1279.99 1289.99 1269.99 1349.99 1279.99 1269.99 1239.99 1289.99 1279.99 1249.99 128
xiu_mvs_v1_base_debu10.28 11310.28 11510.28 12010.28 12810.28 13010.28 12810.28 13510.28 12910.28 12810.28 12410.28 13010.28 12810.28 12610.28 12910.28 128
xiu_mvs_v2_base10.28 11310.28 11510.28 12010.28 12810.28 13010.28 12810.28 13510.28 12910.28 12810.28 12410.28 13010.28 12810.28 12610.28 12910.28 128
xiu_mvs_v1_base10.28 11310.28 11510.28 12010.28 12810.28 13010.28 12810.28 13510.28 12910.28 12810.28 12410.28 13010.28 12810.28 12610.28 12910.28 128
xiu_mvs_v1_base_debi10.28 11310.28 11510.28 12010.28 12810.28 13010.28 12810.28 13510.28 12910.28 12810.28 12410.28 13010.28 12810.28 12610.28 12910.28 128
cdsmvs_eth3d_5k10.28 11310.28 11510.28 12010.28 12810.28 13010.28 12810.28 13510.28 12910.28 12810.28 12410.28 13010.28 12810.28 12610.28 12910.28 128
pcd_1.5k_mvsjas10.28 11310.28 11510.28 12010.28 12810.28 13010.28 12810.28 13510.28 12910.28 12810.28 12410.28 13010.28 12810.28 12610.28 12910.28 128
PS-MVSNAJss10.28 11310.28 11510.28 12010.28 12810.28 13010.28 12810.28 13510.28 12910.28 12810.28 12410.28 13010.28 12810.28 12610.28 12910.28 128
PS-MVSNAJ10.28 11310.28 11510.28 12010.28 12810.28 13010.28 12810.28 13510.28 12910.28 12810.28 12410.28 13010.28 12810.28 12610.28 12910.28 128
jajsoiax10.28 11310.28 11510.28 12010.28 12810.28 13010.28 12810.28 13510.28 12910.28 12810.28 12410.28 13010.28 12810.28 12610.28 12910.28 128
mvs_tets10.28 11310.28 11510.28 12010.28 12810.28 13010.28 12810.28 13510.28 12910.28 12810.28 12410.28 13010.28 12810.28 12610.28 12910.28 128
SR-MVS-dyc-post11.55 12311.55 12511.55 13211.55 13911.55 14111.55 13811.55 14711.55 13911.55 13911.55 13411.55 14111.55 13811.55 13611.55 13911.55 138
XXY-MVS15.00 12415.00 12615.00 13315.00 14015.00 14315.00 13915.00 14915.00 14015.00 14115.00 13515.00 14515.00 14015.00 13815.00 14115.00 140
test_method18.29 12520.89 12710.50 13015.00 14013.00 14255.00 1453.00 12134.00 14211.50 13832.50 1365.00 11613.50 13927.00 1405.00 1165.00 116
BH-w/o40.00 12740.00 12940.00 13540.00 14340.00 14440.00 14040.00 16640.00 14340.00 14340.00 13740.00 16240.00 14340.00 14140.00 15540.00 151
BH-untuned40.00 12740.00 12940.00 13540.00 14340.00 14440.00 14040.00 16640.00 14340.00 14340.00 13740.00 16240.00 14340.00 14140.00 15540.00 151
BH-RMVSNet40.00 12740.00 12940.00 13540.00 14340.00 14440.00 14040.00 16640.00 14340.00 14340.00 13740.00 16240.00 14340.00 14140.00 15540.00 151
TR-MVS40.00 12740.00 12940.00 13540.00 14340.00 14440.00 14040.00 16640.00 14340.00 14340.00 13740.00 16240.00 14340.00 14140.00 15540.00 151
GeoE19.41 12622.09 12811.37 13117.21 14211.30 14050.50 1444.30 12233.60 14111.70 14044.50 1417.30 12718.90 14122.60 1397.10 1273.90 114
tmp_tt371.08 158412.78 159246.00 169231.00 169197.00 1711293.00 201376.00 238756.00 188609.00 21671.00 142106.00 182195.00 167102.00 148171.00 188346.00 212
GBi-Net44.67 13149.24 13330.96 13447.53 14747.57 148126.09 1468.00 13376.99 14726.09 14273.50 14311.27 14030.55 14261.12 14512.58 14014.75 139
new_pmnet88.14 13398.62 13456.70 13998.14 15456.07 149246.79 14815.37 150148.06 14850.77 147143.13 14423.35 14662.65 14793.26 14668.71 16351.38 161
N_pmnet88.14 13398.62 13456.70 13998.14 15456.07 149246.79 14815.37 150148.06 14850.77 147143.13 14423.35 14662.65 14793.26 14668.71 16351.38 161
dp87.20 132113.80 1367.42 11910.50 1388.88 127298.82 1532.70 120510.35 1707.79 125172.93 1463.37 1159.16 12614.00 1373.71 1154.23 115
CANet110.62 135124.04 13770.34 14282.03 15174.27 154325.54 15425.25 152207.16 15069.28 152194.38 14727.53 14895.79 156147.76 15037.43 14540.97 155
CANet_DTU110.62 135124.04 13770.34 14282.03 15174.27 154325.54 15425.25 152207.16 15069.28 152194.38 14727.53 14895.79 156147.76 15037.43 14540.97 155
UGNet110.62 135124.04 13770.34 14282.03 15174.27 154325.54 15425.25 152207.16 15069.28 152194.38 14727.53 14895.79 156147.76 15037.43 14540.97 155
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
FMVSNet5124.76 139140.93 14176.26 147107.44 157100.17 161329.88 15727.12 158259.44 15974.30 155204.34 15030.74 15192.41 149196.98 15338.15 14836.19 142
test1124.76 139140.93 14176.26 147107.44 157100.17 161329.88 15727.12 158259.44 15974.30 155204.34 15030.74 15192.41 149196.98 15338.15 14836.19 142
FMVSNet3124.76 139140.93 14176.26 147107.44 157100.17 161329.88 15727.12 158259.44 15974.30 155204.34 15030.74 15192.41 149196.98 15338.15 14836.19 142
FMVSNet2124.76 139140.93 14176.26 147107.44 157100.17 161329.88 15727.12 158259.44 15974.30 155204.34 15030.74 15192.41 149196.98 15338.15 14836.19 142
FMVSNet1124.76 139140.93 14176.26 147107.44 157100.17 161329.88 15727.12 158259.44 15974.30 155204.34 15030.74 15192.41 149196.98 15338.15 14836.19 142
MIMVSNet1124.76 139140.93 14176.26 147107.44 157100.17 161329.88 15727.12 158259.44 15974.30 155204.34 15030.74 15192.41 149196.98 15338.15 14836.19 142
MIMVSNet124.76 139140.93 14176.26 147107.44 157100.17 161329.88 15727.12 158259.44 15974.30 155204.34 15030.74 15192.41 149196.98 15338.15 14836.19 142
MTAPA833442.10 2751111233.77 28167.09 14165.59 14864.81 151284.50 15010000000.00 313219.97 15359.62 149229.89 15712.72 142103.00 162203.67 16327.93 14233.46 141
PVSNet_Blended_VisFu136.90 147155.40 14981.40 154111.00 16496.20 158407.00 16425.90 155251.60 15685.10 162240.50 15837.00 15899.90 159199.80 16040.70 15948.10 158
PVSNet_BlendedMVS136.90 147155.40 14981.40 154111.00 16496.20 158407.00 16425.90 155251.60 15685.10 162240.50 15837.00 15899.90 159199.80 16040.70 15948.10 158
PVSNet_Blended136.90 147155.40 14981.40 154111.00 16496.20 158407.00 16425.90 155251.60 15685.10 162240.50 15837.00 15899.90 159199.80 16040.70 15948.10 158
DSMNet-mixed131.33 146143.00 14896.33 15799.00 15681.00 157201.00 14745.00 171335.00 16699.00 165251.00 16138.00 161110.00 163120.00 14999.00 16898.00 165
MP-MVS-pluss833433.63 2741111219.60 28075.70 14574.28 14973.29 152284.50 15011.35 145238.58 15465.86 150255.35 16214.55 143115.69 16410000000.00 30731.94 14338.12 149
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 138133.18 14075.70 14574.28 14973.29 152284.50 15011.35 145238.58 15465.86 150255.35 16214.55 143115.69 164222.18 16431.94 14338.12 149
FE-MVS207.10 150234.26 152125.61 158180.34 167153.23 168635.64 17130.05 165378.38 167127.68 166377.08 16448.95 166154.43 166266.67 16563.56 16269.18 163
DP-MVS264.78 152296.02 154171.04 160191.70 168183.96 169827.10 17778.36 178438.24 168176.64 168435.12 16565.04 169230.52 170334.02 167117.96 17498.64 166
FA-MVS(test-final)261.15 151293.29 153164.72 159236.23 170199.99 172800.05 17642.35 170475.87 169155.47 167470.67 16658.49 167205.24 168319.44 16681.03 16588.93 164
GG-mvs-BLEND596.01 206611.29 207600.33 215790.30 173513.12 261552.71 210567.40 167662.54 265531.67 195503.93 177779.80 243656.02 227
gm-plane-assit611.29 207600.33 215579.21 171567.40 167531.67 195503.93 177
gg-mvs-nofinetune594.69 176605.37 178562.67 203617.29 211500.33 201772.30 172413.12 246579.21 171552.71 210567.40 167662.54 265531.67 195503.93 177779.80 243656.02 227
CR-MVSNet612.36 178617.81 181596.01 206611.29 207600.33 215790.30 173513.12 261579.21 171552.71 210567.40 167662.54 265531.67 195503.93 177779.80 243656.02 227
PatchT856.34 197860.99 190842.38 2221290.90 242880.90 233790.30 1731267.30 293579.21 171923.90 229567.40 167662.54 265990.23 226887.56 203779.80 243656.02 227
SSC-MVS320.23 154364.09 156188.66 161260.78 172193.84 170975.93 18373.11 176596.72 175185.29 169589.02 17274.47 171246.01 171427.42 17194.06 167126.12 169
RE-MVS-def610.10 179610.10 205610.10 218610.10 169610.10 270610.10 177610.10 217610.10 173610.10 253610.10 189610.10 226610.10 224
SR-MVS610.10 177610.10 179610.10 208610.10 205610.10 218610.10 169610.10 270610.10 177610.10 217610.10 173610.10 253610.10 211610.10 189610.10 226610.10 224
testing91347.05 155389.92 157218.43 164275.92 175241.43 176923.71 18071.70 173667.65 180217.04 173629.00 175113.33 184281.39 174495.50 174115.45 170132.47 171
testing11348.86 156393.09 158216.15 163275.24 174239.53 175915.55 17972.35 174679.89 181215.75 172633.79 176118.08 185276.62 173509.56 181117.61 173132.30 170
WB-MVS316.44 153357.41 155193.51 162257.06 171213.32 174914.45 17849.03 172600.77 176186.42 170634.00 17775.03 172251.35 172411.39 16988.55 166115.87 168
RPSCF394.81 161445.63 163242.35 167276.55 176253.63 1781207.27 19890.69 186715.56 182241.57 176684.87 178111.96 183320.02 177548.38 185133.81 175153.39 178
WB-MVSnew404.84 162458.00 164245.36 168374.70 185320.27 1871193.74 19772.90 175773.77 189238.30 174688.22 17990.05 175308.59 176532.76 184157.54 182107.21 167
EG-PatchMatch MVS437.03 166493.12 170268.77 174264.80 173260.20 1811491.80 20498.00 191723.20 185238.80 175722.40 18063.10 168382.00 186629.00 191207.00 195164.10 182
UWE-MVS387.98 159438.66 162235.93 165349.32 182257.61 1801081.50 19182.45 182637.74 179257.12 177738.54 181134.25 188308.00 175531.93 183135.11 176142.17 174
testing99408.82 163462.15 165248.86 170322.45 179269.42 1821118.93 19473.26 177719.36 184262.28 178772.10 182150.98 193327.08 178601.98 188137.99 177150.07 176
ADS-MVSNet2443.33 167482.84 167324.79 182434.94 195387.73 1931110.57 19287.69 184887.02 194282.92 183779.29 18398.57 180422.76 191502.40 175162.19 186163.87 180
ADS-MVSNet443.33 167482.84 167324.79 182434.94 195387.73 1931110.57 19287.69 184887.02 194282.92 183779.29 18398.57 180422.76 191502.40 175162.19 186163.87 180
Syy-MVS370.76 157415.60 160236.25 166310.54 177210.76 173965.13 18198.58 192746.06 186266.26 179788.85 18591.37 176364.76 182357.17 168116.42 171133.22 172
myMVS_eth3d390.90 160437.44 161251.28 171310.54 177255.86 179965.13 18198.58 192746.06 186266.26 179788.85 185154.95 194364.76 182490.19 173116.42 171133.22 172
DP-MVS Recon516.25 175581.17 176321.48 181361.02 183429.00 1971995.36 21078.48 179796.20 190283.32 185796.02 18796.78 177382.98 187636.72 193186.66 192152.46 177
MVP-Stereo473.58 170533.67 172293.33 176376.00 186318.00 1851461.00 20296.00 188835.00 191290.00 186804.00 18897.00 178383.00 188688.00 198156.00 180179.00 184
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 170533.67 172293.33 176376.00 186318.00 1851461.00 20296.00 188835.00 191290.00 186804.00 18897.00 178383.00 188688.00 198156.00 180179.00 184
tpmvs501.65 173567.42 175304.33 179395.39 190356.32 1901512.04 205216.53 225994.15 198350.16 191804.16 190119.38 186380.98 185555.14 186159.87 184175.69 183
testing3418.10 164469.06 166265.23 173335.69 180290.63 1841240.88 19993.72 187717.99 183215.31 171811.97 191232.41 221358.74 181458.67 172114.88 169146.32 175
ETVMVS443.50 169498.07 171279.78 175378.05 188321.57 1881163.68 19687.12 183897.50 196269.81 181822.83 192141.20 192334.53 180568.21 187154.21 179183.26 186
testing222430.52 165487.50 169259.56 172379.87 189282.69 1831138.34 19581.30 180880.86 193281.58 182834.27 193135.83 190333.22 179514.90 182140.56 178162.76 179
PatchmatchNetpermissive492.52 172551.22 174316.40 180400.20 191357.90 1911277.10 200115.80 1981034.60 205315.90 188874.00 194155.10 195402.20 190629.50 192158.80 183189.10 187
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
DELS-MVS514.57 174587.73 177295.12 178343.03 181328.09 1891540.48 206116.22 199988.59 197325.44 189906.22 195119.86 187365.72 184788.60 200161.09 185191.55 188
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
Patchmtry1090.75 2101198.88 212766.38 2211290.90 242485.90 1992423.98 2211267.30 2931297.17 210923.90 229923.40 1961215.54 286990.23 226667.90 195779.80 243823.02 241
CSCG826.03 195963.29 200414.24 187421.52 193426.11 1962230.35 211179.52 2211827.44 228733.43 227933.12 197281.25 223545.23 1991800.35 235262.64 209271.38 200
ambc999.00 223999.00 232999.00 237999.00 184999.00 286999.00 232999.00 198999.00 278999.00 228999.00 208999.00 262999.00 259
OurMVSNet-221017-0999.00 203999.00 202999.00 223999.00 232999.00 237999.00 184999.00 286999.00 199999.00 232999.00 198999.00 278999.00 228999.00 208999.00 262999.00 259
EPMVS999.00 203999.00 202999.00 223999.00 232999.00 237999.00 184999.00 286999.00 199999.00 232999.00 198999.00 278999.00 228999.00 208999.00 262999.00 259
uanet_test1000.00 2051000.00 2041000.00 2261000.00 2351000.00 2401000.00 1871000.00 2891000.00 2011000.00 2351000.00 2011000.00 2811000.00 2311000.00 2111000.00 2651000.00 262
sosnet1000.00 2051000.00 2041000.00 2261000.00 2351000.00 2401000.00 1871000.00 2891000.00 2011000.00 2351000.00 2011000.00 2811000.00 2311000.00 2111000.00 2651000.00 262
USDC1000.00 2051000.00 2041000.00 2261000.00 2351000.00 2401000.00 1871000.00 2891000.00 2011000.00 2351000.00 2011000.00 2811000.00 2311000.00 2111000.00 2651000.00 262
TinyColmap1000.00 2051000.00 2041000.00 2261000.00 2351000.00 2401000.00 1871000.00 2891000.00 2011000.00 2351000.00 2011000.00 2811000.00 2311000.00 2111000.00 2651000.00 262
JIA-IIPM804.30 194835.64 187710.26 217885.90 227895.90 235455.98 167668.73 2751297.17 2101002.26 2391001.67 205655.98 263756.98 218667.90 195885.21 255477.90 221
RPMNet787.26 193829.13 186661.63 212885.90 227895.90 235455.98 167610.10 2701297.17 2101002.26 2391001.67 205655.98 263611.10 212667.90 195885.21 255477.90 221
IB-MVS872.44 4616.41 180700.96 183362.78 184426.10 194409.25 1951822.69 207124.42 2081186.23 208366.85 1931079.42 207190.60 209451.78 193930.72 205181.59 190227.30 191
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 182767.00 185458.00 195613.00 210549.00 2131943.00 209187.00 2221230.00 209518.00 2071092.00 208203.00 215564.00 200892.00 204225.00 205261.00 199
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
IterMVS615.05 179691.66 182385.23 186516.40 198454.80 1981863.80 208102.10 1951142.20 207364.10 1921093.20 209135.00 189480.40 194826.90 201181.20 189220.50 190
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
ACMH+729.97 2661.38 181754.00 184383.51 185368.96 184376.38 1922483.74 22382.42 1811089.25 206333.39 1901219.68 21066.53 170573.60 208957.86 206184.14 191200.56 189
K. test v3877.74 198980.16 201570.46 2051316.85 244813.15 2302565.52 225103.78 1961509.49 223548.33 2091258.90 211219.93 220587.82 2101102.37 225196.30 193310.42 207
IterMVS-LS758.94 183856.56 188466.10 196606.60 203546.80 2112309.90 212122.20 2071402.80 213463.50 1971348.20 212192.60 210574.60 2091028.60 216234.60 207276.90 201
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
SixPastTwentyTwo773.62 185869.37 191486.35 198603.45 202547.15 2122532.14 224106.92 1971434.95 214428.08 1951360.56 213165.15 199628.96 214984.09 207209.01 197282.94 202
new-patchmatchnet766.12 184859.03 189487.38 199595.68 200536.14 2032346.27 213142.51 2131488.08 215422.43 1941361.32 214163.65 198628.60 2131003.74 215207.61 196297.41 205
mvs_anonymous774.90 186882.28 192452.77 188636.50 212537.20 2042348.80 214120.30 2001504.30 216474.40 1981371.10 215186.90 201564.70 2011078.90 218219.30 198256.40 192
casdiffmvspermissive774.90 186882.28 192452.77 188636.50 212537.20 2042348.80 214120.30 2001504.30 216474.40 1981371.10 215186.90 201564.70 2011078.90 218219.30 198256.40 192
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 186882.28 192452.77 188636.50 212537.20 2042348.80 214120.30 2001504.30 216474.40 1981371.10 215186.90 201564.70 2011078.90 218219.30 198256.40 192
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 186882.28 192452.77 188636.50 212537.20 2042348.80 214120.30 2001504.30 216474.40 1981371.10 215186.90 201564.70 2011078.90 218219.30 198256.40 192
baseline1774.90 186882.28 192452.77 188636.50 212537.20 2042348.80 214120.30 2001504.30 216474.40 1981371.10 215186.90 201564.70 2011078.90 218219.30 198256.40 192
casdiffmvs_mvgpermissive774.90 186882.28 192452.77 188636.50 212537.20 2042348.80 214120.30 2001504.30 216474.40 1981371.10 215186.90 201564.70 2011078.90 218219.30 198256.40 192
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 186882.28 192452.77 188636.50 212537.20 2042348.80 214120.30 2001504.30 216474.40 1981371.10 215186.90 201564.70 2011078.90 218219.30 198256.40 192
PVSNet1207.94 6829.56 196937.18 199506.69 200645.55 219585.72 2142477.98 222130.52 2091578.29 224509.50 2061460.01 222194.90 211637.19 2151170.78 226267.07 211297.17 204
lessismore_v0569.20 204667.25 221644.68 22196.45 190428.86 1961514.17 223204.21 216756.58 2171061.60 217197.79 194306.34 206
MVSTER890.06 1991005.91 208542.52 201736.13 224653.90 2222616.56 226145.22 2151692.10 227555.69 2131554.72 224266.25 222660.02 2161219.66 227266.84 210313.64 208
PVSNet_01661.03 9968.54 2021066.82 210673.70 215706.94 222695.69 2232669.02 227153.52 2172108.17 233605.54 2151679.14 225213.26 219886.75 2231236.76 228229.01 206438.67 220
PMVScopyleft863.65 3957.08 2001054.11 209666.00 214401.00 192495.00 2003790.00 231279.00 2271607.00 226521.00 2081745.00 22690.00 1731105.00 237639.00 194415.00 222398.00 219
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ZD-MVS1584.00 2471821.00 270378.00 2393721.00 2451231.00 2461833.00 227321.00 2291224.00 2392103.00 240692.00 236
ACMH993.80 5967.92 2011106.11 211553.33 202494.00 197534.00 2023581.00 229136.00 2101585.00 225478.00 2051871.00 22890.00 173839.00 2201460.00 229260.00 208287.00 203
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
test_04021110.00 2111260.00 214660.00 211900.00 230780.00 2293300.00 228210.00 2242040.00 232690.00 2221950.00 229300.00 226810.00 2191620.00 232330.00 218390.00 218
ACMP1246.57 71086.24 2091235.17 213639.45 209596.53 201639.91 2203904.24 232152.04 2161851.54 229566.58 2141997.95 230138.50 191938.30 2241605.46 231303.70 217340.14 210
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
MVS_111021_LR1136.45 2121298.72 215649.64 210756.17 225726.26 2263785.94 230138.15 2122190.64 234629.63 2202064.39 231165.45 200874.83 2221678.43 234279.70 212347.82 213
ACMM1311.08 81165.06 2131332.72 216662.07 213584.90 199715.99 2254373.59 236153.99 2181880.27 230709.02 2242316.97 232188.63 208939.89 2251484.30 230302.78 216330.34 209
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
DeepC-MVS_fast2190.19 121535.59 2191886.82 223481.89 197847.73 226830.16 2317943.84 256189.23 2232398.83 236691.73 2232341.13 233209.16 217230.25 1691999.25 239360.46 219385.25 217
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMMPR1296.60 2161480.82 219743.96 220899.25 229763.47 2284305.47 235143.90 2142530.94 238683.99 2212346.34 234201.65 2141098.25 2361920.59 237295.21 213370.16 214
MSLP-MVS++1242.93 2141411.08 217738.48 219712.71 223712.68 2244168.17 234136.50 2112276.40 235613.28 2192368.60 235161.61 1971130.38 2381964.54 238297.88 214372.39 215
TSAR-MVS + GP.1386.84 2171622.84 221678.81 216952.13 231840.17 2325358.21 240170.75 2202650.47 239713.54 2252394.28 236209.42 218855.56 2211854.36 236302.42 215340.71 211
FPMVS1407.00 2181495.59 2201141.23 231648.01 220893.85 2344124.00 233503.81 2603219.04 241742.72 2282498.84 237157.98 1961727.83 244832.93 202732.98 242802.00 236
MG-MVS1256.50 2151432.00 218730.00 218610.00 204760.00 2274720.00 237169.00 2191920.00 231723.00 2262510.00 238201.00 2131050.00 2351645.00 233390.00 221380.00 216
COLMAP_ROBcopyleft2144.59 111658.33 2201869.33 2221025.33 2301030.00 2391023.00 2445311.00 239359.00 2363044.00 240937.00 2312892.00 239332.00 2301440.00 2412312.00 241607.00 225613.00 226
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 2212113.11 2241173.33 2341231.00 2401174.00 2456297.00 242392.00 2413356.00 2431087.00 2413082.00 240361.00 2341670.00 2432523.00 243689.00 232676.00 231
MVS-HIRNet2125.39 2242452.68 2271143.53 2322938.33 2871446.92 2496083.19 241391.74 2403801.71 2461202.10 2453439.72 241492.73 2441304.35 2403048.25 248676.32 231679.32 232
CMPMVSbinary2623.62 151983.08 2232156.14 2251463.89 2441414.80 2461517.00 2505239.20 238867.40 2803310.30 2421128.70 2433489.90 242366.75 2352030.20 2552427.60 2421160.60 274844.46 244
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVS_ROBcopyleft1936.51 101959.51 2222224.88 2261163.39 2331253.91 2411434.22 2487065.71 246272.76 2262472.29 2371647.54 2713538.72 243200.37 2121496.48 2422575.17 244997.45 261559.48 223
OpenMVScopyleft2352.88 132263.08 2262530.89 2291459.67 2431767.00 2571591.00 2537932.00 255399.00 2423643.00 2441176.00 2443569.00 244297.00 2251927.00 2513302.00 249693.00 237861.00 245
ITE_SJBPF2014.00 2601998.00 2611992.00 274701.00 2765989.00 2641812.00 2753612.00 245650.00 2592852.00 2724601.00 2661195.00 2751198.00 272
PLCcopyleft2858.82 162192.92 2252474.00 2281349.67 2361407.00 2451356.00 2477164.00 247475.00 2533970.00 2471237.00 2483765.00 246451.00 2411891.00 2493006.00 247791.00 248802.00 236
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
PCF-MVS4335.85 202272.23 2272597.03 2301297.84 2351701.20 2491332.37 2468105.11 257451.45 2494031.84 2481099.10 2423966.50 247467.45 2421734.05 2452701.68 246848.94 252827.11 242
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
3Dnovator2482.06 142531.17 2312839.56 2341606.00 2451732.00 2531557.00 2528375.00 259483.00 2544370.00 2531371.00 2544200.00 248350.00 2322207.00 2563877.00 256798.00 2491054.00 266
CHOSEN 280x4202340.81 2282643.03 2311434.14 2372025.55 2661629.36 2576542.40 243412.49 2434219.70 2501547.02 2594328.52 249650.74 2601798.26 2463333.17 250727.72 239874.79 246
CHOSEN 1792x26882340.81 2282643.03 2311434.14 2372025.55 2661629.36 2576542.40 243412.49 2434219.70 2501547.02 2594328.52 249650.74 2601798.26 2463333.17 250727.72 239874.79 246
HyFIR lowres test2340.81 2282643.03 2311434.14 2372025.55 2661629.36 2576542.40 243412.49 2434219.70 2501547.02 2594328.52 249650.74 2601798.26 2463333.17 250727.72 239874.79 246
tpmrst2557.50 2322847.12 2351688.66 2481784.08 2581778.25 2677445.50 253342.14 2334471.54 2541534.55 2584382.10 252530.10 2482361.21 2594142.81 260991.22 260926.51 251
DeepPCF-MVS3452.42 182670.71 2353021.57 2371618.12 2462377.67 2731751.39 2668915.70 262567.44 2684569.74 2551236.84 2474615.63 253513.23 2452291.32 2573515.48 253882.39 254811.66 238
AdaColmapbinary2570.77 2332948.61 2361437.24 2401873.64 2591526.60 2517819.77 254373.97 2374970.45 2571479.29 2564648.46 254525.80 2471904.97 2504150.42 261695.69 238880.14 249
EGC-MVSNET2819.75 2373096.89 2401988.33 2583105.00 2882241.00 2789480.00 267640.00 2744209.00 2491583.00 2644740.00 255547.00 2502797.00 2712644.00 245924.00 258927.00 252
LF4IMVS2699.50 2363049.67 2381649.00 2471755.00 2541689.00 2618330.00 258464.00 2514997.00 2581528.00 2574763.00 256568.00 2512296.00 2584215.00 262827.00 251962.00 256
test_0728_THIRD5016.02 2591363.85 2514894.28 257387.23 2362023.43 2523973.88 257620.04 228732.56 233
test07261725.60 2501598.35 2549203.30 263315.86 2305016.02 2591363.85 2514894.28 257387.23 236
SD-MVS2654.53 2343055.56 2391451.45 2411725.60 2501598.35 2549203.30 263315.86 2305016.02 2591363.85 2514894.28 257387.23 2362023.43 2523973.88 257620.04 228732.56 233
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
Vis-MVSNetpermissive2877.42 2383170.00 2411999.67 2591673.00 2482042.00 2768593.00 260474.00 2526452.00 2721268.00 2495125.00 260339.00 2313004.00 2734222.00 263384.00 220953.00 255
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2891.50 2393284.78 2421711.67 2491954.00 2601655.00 26010117.00 276445.00 2485102.00 2621375.00 2555126.00 261351.00 2332638.00 2694402.00 264691.00 235842.00 243
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 2403537.00 2431975.67 2562310.00 2712005.00 27510100.00 275626.00 2735753.00 2631803.00 2745179.00 262487.00 2432622.00 2674550.00 2651025.00 2691300.00 273
DPM-MVS3268.00 2423762.89 2451783.33 2521756.00 2551806.00 26812319.00 279307.00 2286319.00 2701557.00 2625763.00 263302.00 2272609.00 2655061.00 268482.00 223935.00 253
OPM-MVS3268.00 2423762.89 2451783.33 2521756.00 2551806.00 26812319.00 279307.00 2286319.00 2701557.00 2625763.00 263302.00 2272609.00 2655061.00 268482.00 223935.00 253
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
MVS_111021_HR3742.80 2504330.34 2531980.20 2572484.31 2752259.52 27914973.80 286515.90 2676500.13 2731949.21 2766146.89 265535.66 2492593.66 2644880.76 267986.37 2591087.43 267
TSAR-MVS + MP.3528.01 2454065.89 2521914.35 2552349.10 2722141.30 27712362.70 281417.60 2476717.80 2761759.40 2736497.50 266518.18 2462629.38 2685164.32 270806.40 250972.38 258
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
MAR-MVS3973.16 2514387.92 2542728.86 2723345.27 2893341.39 29311403.90 278798.76 2786555.62 2752569.29 2866514.86 267834.97 2723237.43 2825891.08 2731577.54 2811607.76 274
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
TAPA-MVS6309.84 213374.90 2443806.99 2472078.63 2612535.47 2772499.25 2868816.16 261456.05 2506255.60 2691664.52 2726704.88 268629.95 2582768.38 2706343.93 282856.35 253968.25 257
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
OPU-MVS2451.45 2702725.60 2832598.35 2879203.30 2636894.28 269887.23 2733023.43 2745973.88 2741620.04 2821732.56 278
test_241102_TWO515.86 2637016.02 2772363.85 2816894.28 269887.23 2733023.43 2745973.88 2741620.04 2821732.56 278
test_241102_ONE2725.60 2832598.35 287515.86 2637016.02 2772363.85 2816894.28 269887.23 2733023.43 274
MSP-MVS4296.20 2564911.12 2602451.45 2702725.60 2832598.35 28716203.30 287515.86 2637016.02 2772363.85 2816894.28 269887.23 2733023.43 2745973.88 2741620.04 2821732.56 278
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
GST-MVS4000.00 2544533.33 2552400.00 2652400.00 2742400.00 2807200.00 2482400.00 2977200.00 2832400.00 2857200.00 2732400.00 2912400.00 2607200.00 2842400.00 2882400.00 287
API-MVS4380.83 2574906.56 2592803.67 2733844.00 2903116.00 29213454.00 282901.00 2856511.00 2742794.00 2877365.00 274754.00 2693634.00 2836622.00 2831914.00 2871661.00 277
PC_three_14527619.38 2842107.24 2777416.93 275610.24 2553088.29 2786075.14 2781078.39 2701159.26 268
test_one_06012643.17 2782465.14 281493.26 2557619.38 2842107.24 2777416.93 275610.24 255
SED-MVS4062.74 2554671.13 2562237.56 2622643.17 2782465.14 28113996.40 283493.26 2557619.38 2842107.24 2777416.93 275610.24 2553088.29 2786075.14 2781078.39 2701159.26 268
DeepC-MVS3917.13 193155.06 2413601.83 2441814.72 2542515.52 2761941.53 27110432.50 277589.42 2694789.45 2561298.65 2507677.31 278578.35 2522589.53 2633611.78 255923.52 257913.10 250
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DVP-MVS++3981.10 2524731.32 2571730.42 2502191.51 2691949.98 27216473.90 288355.33 2347172.90 2811622.98 2697879.79 279434.33 2392428.11 2615762.12 271689.04 233813.18 239
DVP-MVScopyleft3981.10 2524731.32 2571730.42 2502191.51 2691949.98 27216473.90 288355.33 2347172.90 2811622.98 2697879.79 279434.33 2392428.11 2615762.12 271689.04 233813.18 239
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
tpm23617.85 2464007.23 2482449.73 2662012.71 2621698.05 2627351.19 249869.29 2816132.06 2651588.28 2658007.42 2811281.09 2873888.11 2857472.04 2861351.00 2761763.02 282
tpm cat13617.85 2464007.23 2482449.73 2662012.71 2621698.05 2627351.19 249869.29 2816132.06 2651588.28 2658007.42 2811281.09 2873888.11 2857472.04 2861351.00 2761763.02 282
CostFormer3617.85 2464007.23 2482449.73 2662012.71 2621698.05 2627351.19 249869.29 2816132.06 2651588.28 2658007.42 2811281.09 2873888.11 2857472.04 2861351.00 2761763.02 282
tpm3617.85 2464007.23 2482449.73 2662012.71 2621698.05 2627351.19 249869.29 2816132.06 2651588.28 2658007.42 2811281.09 2873888.11 2857472.04 2861351.00 2761763.02 282
OMC-MVS5022.26 2585748.82 2612842.58 2744905.27 2923101.27 29114933.60 285812.24 2799278.40 2882959.29 2888800.17 2851092.24 2853806.30 2847568.54 2901389.60 2801620.18 276
ZNCC-MVS9999.00 2619999.00 2649999.00 2789999.00 2969999.00 2989999.00 2689999.00 3019999.00 2899999.00 2939999.00 2869999.00 2949999.00 2919999.00 2919999.00 2929999.00 290
patch_mono-210000.00 26210000.00 26510000.00 27910000.00 29710000.00 29910000.00 26910000.00 30210000.00 29010000.00 29410000.00 28710000.00 29510000.00 29210000.00 29210000.00 29310000.00 291
dcpmvs_210000.00 26210000.00 26510000.00 27910000.00 29710000.00 29910000.00 26910000.00 30210000.00 29010000.00 29410000.00 28710000.00 29510000.00 29210000.00 29210000.00 29310000.00 291
DCPMVS10000.00 26210000.00 26510000.00 27910000.00 29710000.00 29910000.00 26910000.00 30210000.00 29010000.00 29410000.00 28710000.00 29510000.00 29210000.00 29210000.00 29310000.00 291
UA-Net10000.00 26210000.00 26510000.00 27910000.00 29710000.00 29910000.00 26910000.00 30210000.00 29010000.00 29410000.00 28710000.00 29510000.00 29210000.00 29210000.00 29310000.00 291
uncertanet10000.00 26210000.00 26510000.00 27910000.00 29710000.00 29910000.00 26910000.00 30210000.00 29010000.00 29410000.00 28710000.00 29510000.00 29210000.00 29210000.00 29310000.00 291
uanet10000.00 26210000.00 26510000.00 27910000.00 29710000.00 29910000.00 26910000.00 30210000.00 29010000.00 29410000.00 28710000.00 29510000.00 29210000.00 29210000.00 29310000.00 291
CLD-MVS7338.25 2598341.00 2624330.00 2754902.00 2914991.00 29423318.00 291728.00 27714437.00 2984378.00 29013379.00 293824.00 2715708.00 28911429.00 2991674.00 2862291.00 286
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 2608776.23 2634410.16 2765298.55 2935631.53 29534329.90 2931504.57 29511554.00 2973896.41 28915111.00 294812.19 2705985.63 2903516.20 2542963.23 2891613.31 275
MVEpermissive10021.00 2210550.67 26810002.44 27112195.33 2856242.00 2948768.00 29730896.00 2924451.00 29810331.00 2966247.00 29118296.00 295283.00 22421484.00 2997364.00 2855912.00 2916334.00 289
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 26911772.44 2727637.33 2779120.00 2958206.00 29622252.00 2902010.00 29624984.00 2997458.00 29222596.00 2962940.00 29210260.00 29811100.00 2983492.00 2904446.00 288
LTVRE_ROB20565.47 2323378.08 27022805.00 27325097.33 28615500.00 30319201.00 30542712.00 2946055.00 29938388.00 30016926.00 30038534.00 2977071.00 29335653.00 30029475.00 30010584.00 29920438.00 298
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 27134443.44 27427094.33 28729249.00 30425246.00 30651144.00 2956705.00 30042886.00 30122888.00 30148534.00 29813263.00 30137507.00 30179298.00 30116024.00 30018530.00 297
114514_t99999.00 27299999.00 27599999.00 28899999.00 30599999.00 30799999.00 29699999.00 30899999.00 30299999.00 30299999.00 29999999.00 30299999.00 30299999.00 30299999.00 30199999.00 299
PHI-MVS99999.00 27299999.00 27599999.00 28899999.00 30599999.00 30799999.00 29699999.00 30899999.00 30299999.00 30299999.00 29999999.00 30299999.00 30299999.00 30299999.00 30199999.00 299
XVG-OURS-SEG-HR999999.00 276999999.00 277999999.00 290999999.00 307999999.00 309999999.00 298999999.00 310999999.00 304999999.00 304999999.00 301999999.00 304999999.00 304999999.00 304999999.00 303999999.00 301
XVG-OURS999999.00 276999999.00 277999999.00 290999999.00 307999999.00 309999999.00 298999999.00 310999999.00 304999999.00 304999999.00 301999999.00 304999999.00 304999999.00 304999999.00 303999999.00 301
XVG-ACMP-BASELINE999999.00 276999999.00 277999999.00 290999999.00 307999999.00 309999999.00 298999999.00 310999999.00 304999999.00 304999999.00 301999999.00 304999999.00 304999999.00 304999999.00 303999999.00 301
dmvs_re10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
SDMVSNet10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
dmvs_testset10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
sd_testset10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
iter_conf_final10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
bld_raw_dy_0_6410000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
test250610000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
test111110000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
ECVR-MVScopyleft10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
test_blank10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
tt080510000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
Anonymous2024052110000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
cl2210000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
miper_ehance_all_eth10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
miper_enhance_ethall10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
cl____10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
DIV-MVS_self_test10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
eth_miper_zixun_eth10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
ET-MVSNet_ETH3D10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
UniMVSNet_ETH3D10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
miper_lstm_enhance10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
D2MVS10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
test_yl10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
thisisatest053010000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
Anonymous2024052910000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
Anonymous20240521110000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
DCV-MVSNet10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
tttt051710000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
our_test_310000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
thisisatest051510000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
ppachtmachnet_test10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
SMA-MVScopyleft10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
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 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
tfpnnormal10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
tfpn200view910000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
c3_l10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
IterMVS-SCA-FT10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
pmmvs610000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
pmmvs510000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
test_post110000000.00 30110000000.00 30410000000.00 30710000000.00 30710000000.00 307
test_post10000000.00 30410000000.00 30710000000.00 307
patchmatchnet-post10000000.00 30410000000.00 30710000000.00 307
Anonymous2023121110000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
pmmvs-eth3d10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
Anonymous2023120610000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
SCA10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
Patchmatch-test10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
Patchmatch-RL test10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
canonicalmvs10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
anonymousdsp10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
FIs10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
FC-MVSNet-test10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
sosnet-low-res10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
AllTest10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
TestCases10000000.00 29310000000.00 31010000000.00 31210000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
iter_conf0510000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
RRT_MVS10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
HPM-MVS++copyleft10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
XVS10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
pm-mvs110000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
X-MVStestdata10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
APDe-MVScopyleft10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
pmmvs410000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
test-LLR10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
TESTMET0.1,110000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
test-mter10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
testgi10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
test20.0310000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
thres600view710000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
MP-MVScopyleft10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
thres40010000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
test12310000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
thres20010000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
test0.0.03 110000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
pmmvs310000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
EMVS10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
E-PMN10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
PGM-MVS10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
MCST-MVS10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
MVS_Test10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
PMMVS210000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
PM-MVS10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
HQP_MVS10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
plane_prior410000000.00 304
mPP-MVS10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
mvsmamba10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
HPM-MVS_fast10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
HPM-MVScopyleft10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
LGP-MVS_train10000000.00 29310000000.00 31010000000.00 31210000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
EPNet_dtu10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
NCCC10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
CP-MVS10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
NP-MVS10000000.00 31010000000.00 31210000000.00 304
CPTT-MVS10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
HQP-MVS10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
IS-MVSNet10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
PAPM_NR10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
PAPR10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
Vis-MVSNet (Re-imp)10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
PatchMatch-RL10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
TDRefinement10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
EPP-MVSNet10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
PMMVS10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
PAPM10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
ACMMPcopyleft10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
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 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
wuyk23d10000000.00 27910000000.00 28210000000.00 29310000000.00 31010000000.00 31210000000.00 30110000000.00 31310000000.00 30710000000.00 30710000000.00 30410000000.00 30710000000.00 30710000000.00 30710000000.00 30610000000.00 304
APD-MVScopyleft1000000000.00 3851000000000.00 3881000000000.00 4011000000000.00 4261000000000.00 4261000000000.00 4121000000000.00 4261000000000.00 4191000000000.00 4201000000000.00 4171000000000.00 4221000000000.00 4201000000000.00 4191000000000.00 4181000000000.00 416
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
WAC-MVS248.46 177422.23 170
FOURS12643.17 2782465.14 28113996.40 283493.26 2557619.38 2842107.24 277
MSC_two_6792asdad2237.56 2622643.17 2782465.14 281493.26 2553088.29 2786075.14 2781078.39 2701159.26 268
No_MVS2237.56 2622643.17 2782465.14 281493.26 2553088.29 2786075.14 2781078.39 2701159.26 268
eth-test21.42 84
eth-test10000000.00 310
IU-MVS2725.60 2832598.35 287515.86 2637016.02 2772363.85 2815973.88 2741620.04 2821732.56 278
save fliter0.00 10.00 10.00 10.00 10.00 1
test_0728_SECOND1451.45 2411725.60 2501598.35 2549203.30 263315.86 2302023.43 2523973.88 257620.04 228732.56 233
GSMVS10000000.00 304
test_part210000000.00 31010000000.00 31210000000.00 307
sam_mvs110000000.00 30710000000.00 304
sam_mvs10000000.00 307
MTGPAbinary10000000.00 313
MTMP10000000.00 30110000000.00 313
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
旧先验20.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
无先验0.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM20.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
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 31010000000.00 312
plane_prior610000000.00 31010000000.00 31210000000.00 307
plane_prior510000000.00 31310000000.00 30710000000.00 30710000000.00 30610000000.00 304
plane_prior310000000.00 31210000000.00 30710000000.00 307
plane_prior210000000.00 30110000000.00 307
plane_prior110000000.00 310
plane_prior1.00 782.00 1062.00 1072.00 105
n214.20 148
nn1.42 86
door-mid1.42 86
test111.00 79
door99.00 194
HQP5-MVS10000000.00 312
HQP-NCC10000000.00 31010000000.00 30110000000.00 30710000000.00 307
ACMP_Plane10000000.00 31010000000.00 30110000000.00 30710000000.00 307
BP-MVS10000000.00 307
HQP4-MVS10000000.00 30710000000.00 30710000000.00 304
HQP3-MVS10000000.00 31310000000.00 306
HQP2-MVS10000000.00 307
MDTV_nov1_ep13_2view9.99 1289.99 1269.99 1279.99 1269.99 1289.99 1249.99 127
ACMMP++_ref10000000.00 306
ACMMP++10000000.00 306
Test By Simon990.00 277