High-resolution multi-view benchmark

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

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

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

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

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




Method Infoallhigh-res
multi-view		indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort 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
agg_prior0.00 10.00 10.00 10.00 10.00 1
HFP-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
region2R0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_prior20.00 10.00 10.00 10.00 10.00 10.00 10.00 1
旧先验20.00 10.00 10.00 10.00 10.00 1
新几何10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test2220.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
13140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
QAPM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
h-mvs330.30 360.30 370.30 410.30 480.30 480.30 480.30 490.30 480.30 470.30 450.30 470.30 480.30 460.30 460.30 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
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
MDTV_nov1_ep13_2view9.99 1289.99 1269.99 1279.99 1269.99 1289.99 1249.99 127
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
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
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
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
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
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
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
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
MTAPA833442.10 2711111233.77 27767.09 14165.59 14864.81 151284.50 15010000000.00 309219.97 15359.62 149229.89 15712.72 142103.00 162203.67 16327.93 14233.46 141
MP-MVS-pluss833433.63 2701111219.60 27675.70 14574.28 14973.29 152284.50 15011.35 145238.58 15465.86 150255.35 16214.55 143115.69 16410000000.00 30331.94 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
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
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
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
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
DP-MVS264.78 152296.02 154171.04 160191.70 168183.96 169827.10 17778.36 175438.24 168176.64 168435.12 16565.04 169230.52 170334.02 167117.96 17298.64 166
SSC-MVS320.23 154364.09 156188.66 161260.78 172193.84 170975.93 18173.11 174596.72 175185.29 169589.02 17274.47 171246.01 171427.42 17194.06 167126.12 169
WB-MVS316.44 153357.41 155193.51 162257.06 171213.32 174914.45 17849.03 172600.77 176186.42 170634.00 17575.03 172251.35 172411.39 16988.55 166115.87 168
testing3418.10 160469.06 162265.23 169335.69 177290.63 1801240.88 19593.72 183717.99 180215.31 171811.97 187232.41 217358.74 177458.67 172114.88 169146.32 172
WB-MVSnew404.84 159458.00 161245.36 165374.70 181320.27 1831193.74 19372.90 173773.77 185238.30 172688.22 17790.05 175308.59 173532.76 181157.54 178107.21 167
EG-PatchMatch MVS437.03 162493.12 166268.77 170264.80 173260.20 1781491.80 20098.00 187723.20 181238.80 173722.40 17863.10 168382.00 182629.00 187207.00 191164.10 178
RPSCF394.81 158445.63 160242.35 164276.55 174253.63 1761207.27 19490.69 182715.56 179241.57 174684.87 176111.96 183320.02 174548.38 182133.81 173153.39 174
Syy-MVS370.76 155415.60 158236.25 163310.54 175210.76 173965.13 17998.58 188746.06 182266.26 175788.85 18191.37 176364.76 178357.17 168116.42 170133.22 170
myMVS_eth3d390.90 157437.44 159251.28 167310.54 175255.86 177965.13 17998.58 188746.06 182266.26 175788.85 181154.95 190364.76 178490.19 173116.42 170133.22 170
ETVMVS443.50 165498.07 167279.78 171378.05 184321.57 1841163.68 19287.12 179897.50 192269.81 177822.83 188141.20 189334.53 176568.21 184154.21 175183.26 182
testing222430.52 161487.50 165259.56 168379.87 185282.69 1791138.34 19181.30 177880.86 189281.58 178834.27 189135.83 187333.22 175514.90 180140.56 174162.76 175
ADS-MVSNet2443.33 163482.84 163324.79 178434.94 191387.73 1891110.57 18987.69 180887.02 190282.92 179779.29 17998.57 180422.76 187502.40 174162.19 182163.87 176
ADS-MVSNet443.33 163482.84 163324.79 178434.94 191387.73 1891110.57 18987.69 180887.02 190282.92 179779.29 17998.57 180422.76 187502.40 174162.19 182163.87 176
DP-MVS Recon516.25 171581.17 172321.48 177361.02 179429.00 1931995.36 20678.48 176796.20 186283.32 181796.02 18396.78 177382.98 183636.72 189186.66 188152.46 173
MVP-Stereo473.58 166533.67 168293.33 172376.00 182318.00 1811461.00 19896.00 184835.00 187290.00 182804.00 18497.00 178383.00 184688.00 194156.00 176179.00 180
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 166533.67 168293.33 172376.00 182318.00 1811461.00 19896.00 184835.00 187290.00 182804.00 18497.00 178383.00 184688.00 194156.00 176179.00 180
PatchmatchNetpermissive492.52 168551.22 170316.40 176400.20 187357.90 1871277.10 196115.80 1941034.60 201315.90 184874.00 190155.10 191402.20 186629.50 188158.80 179189.10 183
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
DELS-MVS514.57 170587.73 173295.12 174343.03 178328.09 1851540.48 202116.22 195988.59 193325.44 185906.22 191119.86 185365.72 180788.60 196161.09 181191.55 184
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
ACMH+729.97 2661.38 177754.00 180383.51 181368.96 180376.38 1882483.74 21982.42 1781089.25 202333.39 1861219.68 20666.53 170573.60 204957.86 202184.14 187200.56 185
tpmvs501.65 169567.42 171304.33 175395.39 186356.32 1861512.04 201216.53 221994.15 194350.16 187804.16 186119.38 184380.98 181555.14 183159.87 180175.69 179
IterMVS615.05 175691.66 178385.23 182516.40 194454.80 1941863.80 204102.10 1911142.20 203364.10 1881093.20 205135.00 186480.40 190826.90 197181.20 185220.50 186
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 176700.96 179362.78 180426.10 190409.25 1911822.69 203124.42 2041186.23 204366.85 1891079.42 203190.60 205451.78 189930.72 201181.59 186227.30 187
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
new-patchmatchnet766.12 180859.03 185487.38 195595.68 196536.14 1992346.27 209142.51 2091488.08 211422.43 1901361.32 210163.65 194628.60 2091003.74 211207.61 192297.41 201
SixPastTwentyTwo773.62 181869.37 187486.35 194603.45 198547.15 2082532.14 220106.92 1931434.95 210428.08 1911360.56 209165.15 195628.96 210984.09 203209.01 193282.94 198
lessismore_v0569.20 200667.25 217644.68 21796.45 186428.86 1921514.17 219204.21 212756.58 2131061.60 213197.79 190306.34 202
IterMVS-LS758.94 179856.56 184466.10 192606.60 199546.80 2072309.90 208122.20 2031402.80 209463.50 1931348.20 208192.60 206574.60 2051028.60 212234.60 203276.90 197
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
mvs_anonymous774.90 182882.28 188452.77 184636.50 208537.20 2002348.80 210120.30 1961504.30 212474.40 1941371.10 211186.90 197564.70 1971078.90 214219.30 194256.40 188
casdiffmvspermissive774.90 182882.28 188452.77 184636.50 208537.20 2002348.80 210120.30 1961504.30 212474.40 1941371.10 211186.90 197564.70 1971078.90 214219.30 194256.40 188
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 182882.28 188452.77 184636.50 208537.20 2002348.80 210120.30 1961504.30 212474.40 1941371.10 211186.90 197564.70 1971078.90 214219.30 194256.40 188
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 182882.28 188452.77 184636.50 208537.20 2002348.80 210120.30 1961504.30 212474.40 1941371.10 211186.90 197564.70 1971078.90 214219.30 194256.40 188
baseline1774.90 182882.28 188452.77 184636.50 208537.20 2002348.80 210120.30 1961504.30 212474.40 1941371.10 211186.90 197564.70 1971078.90 214219.30 194256.40 188
casdiffmvs_mvgpermissive774.90 182882.28 188452.77 184636.50 208537.20 2002348.80 210120.30 1961504.30 212474.40 1941371.10 211186.90 197564.70 1971078.90 214219.30 194256.40 188
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 182882.28 188452.77 184636.50 208537.20 2002348.80 210120.30 1961504.30 212474.40 1941371.10 211186.90 197564.70 1971078.90 214219.30 194256.40 188
ACMH993.80 5967.92 1971106.11 207553.33 198494.00 193534.00 1983581.00 225136.00 2061585.00 221478.00 2011871.00 22490.00 173839.00 2161460.00 225260.00 204287.00 199
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet1207.94 6829.56 192937.18 195506.69 196645.55 215585.72 2102477.98 218130.52 2051578.29 220509.50 2021460.01 218194.90 207637.19 2111170.78 222267.07 207297.17 200
Gipumacopyleft689.75 178767.00 181458.00 191613.00 206549.00 2091943.00 205187.00 2181230.00 205518.00 2031092.00 204203.00 211564.00 196892.00 200225.00 201261.00 195
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft863.65 3957.08 1961054.11 205666.00 210401.00 188495.00 1963790.00 227279.00 2231607.00 222521.00 2041745.00 22290.00 1731105.00 233639.00 190415.00 218398.00 215
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
K. test v3877.74 194980.16 197570.46 2011316.85 240813.15 2262565.52 221103.78 1921509.49 219548.33 2051258.90 207219.93 216587.82 2061102.37 221196.30 189310.42 203
GG-mvs-BLEND596.01 202611.29 203600.33 211790.30 173513.12 257552.71 206567.40 167662.54 261531.67 191503.93 176779.80 239656.02 223
gg-mvs-nofinetune594.69 172605.37 174562.67 199617.29 207500.33 197772.30 172413.12 242579.21 171552.71 206567.40 167662.54 261531.67 191503.93 176779.80 239656.02 223
CR-MVSNet612.36 174617.81 177596.01 202611.29 203600.33 211790.30 173513.12 257579.21 171552.71 206567.40 167662.54 261531.67 191503.93 176779.80 239656.02 223
MVSTER890.06 1951005.91 204542.52 197736.13 220653.90 2182616.56 222145.22 2111692.10 223555.69 2091554.72 220266.25 218660.02 2121219.66 223266.84 206313.64 204
ACMP1246.57 71086.24 2051235.17 209639.45 205596.53 197639.91 2163904.24 228152.04 2121851.54 225566.58 2101997.95 226138.50 188938.30 2201605.46 227303.70 213340.14 206
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PVSNet_01661.03 9968.54 1981066.82 206673.70 211706.94 218695.69 2192669.02 223153.52 2132108.17 229605.54 2111679.14 221213.26 215886.75 2191236.76 224229.01 202438.67 216
tmp_tt371.08 156412.78 157246.00 166231.00 169197.00 1711293.00 197376.00 234756.00 184609.00 21271.00 142106.00 182195.00 167102.00 148171.00 184346.00 208
RE-MVS-def610.10 175610.10 201610.10 214610.10 169610.10 266610.10 177610.10 213610.10 173610.10 249610.10 185610.10 222610.10 220
SR-MVS610.10 173610.10 175610.10 204610.10 201610.10 214610.10 169610.10 266610.10 177610.10 213610.10 173610.10 249610.10 207610.10 185610.10 222610.10 220
MSLP-MVS++1242.93 2101411.08 213738.48 215712.71 219712.68 2204168.17 230136.50 2072276.40 231613.28 2152368.60 231161.61 1931130.38 2341964.54 234297.88 210372.39 211
MVS_111021_LR1136.45 2081298.72 211649.64 206756.17 221726.26 2223785.94 226138.15 2082190.64 230629.63 2162064.39 227165.45 196874.83 2181678.43 230279.70 208347.82 209
ACMMPR1296.60 2121480.82 215743.96 216899.25 225763.47 2244305.47 231143.90 2102530.94 234683.99 2172346.34 230201.65 2101098.25 2321920.59 233295.21 209370.16 210
test_04021110.00 2071260.00 210660.00 207900.00 226780.00 2253300.00 224210.00 2202040.00 228690.00 2181950.00 225300.00 222810.00 2151620.00 228330.00 214390.00 214
DeepC-MVS_fast2190.19 121535.59 2151886.82 219481.89 193847.73 222830.16 2277943.84 252189.23 2192398.83 232691.73 2192341.13 229209.16 213230.25 1691999.25 235360.46 215385.25 213
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMM1311.08 81165.06 2091332.72 212662.07 209584.90 195715.99 2214373.59 232153.99 2141880.27 226709.02 2202316.97 228188.63 204939.89 2211484.30 226302.78 212330.34 205
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
TSAR-MVS + GP.1386.84 2131622.84 217678.81 212952.13 227840.17 2285358.21 236170.75 2162650.47 235713.54 2212394.28 232209.42 214855.56 2171854.36 232302.42 211340.71 207
MG-MVS1256.50 2111432.00 214730.00 214610.00 200760.00 2234720.00 233169.00 2151920.00 227723.00 2222510.00 234201.00 2091050.00 2311645.00 229390.00 217380.00 212
CSCG826.03 191963.29 196414.24 183421.52 189426.11 1922230.35 207179.52 2171827.44 224733.43 223933.12 193281.25 219545.23 1951800.35 231262.64 205271.38 196
FPMVS1407.00 2141495.59 2161141.23 227648.01 216893.85 2304124.00 229503.81 2563219.04 237742.72 2242498.84 233157.98 1921727.83 240832.93 198732.98 238802.00 232
Patchmtry1090.75 2061198.88 208766.38 2171290.90 238485.90 1952423.98 2171267.30 2891297.17 206923.90 225923.40 1921215.54 282990.23 222667.90 191779.80 239823.02 237
PatchT856.34 193860.99 186842.38 2181290.90 238880.90 229790.30 1731267.30 289579.21 171923.90 225567.40 167662.54 261990.23 222887.56 199779.80 239656.02 223
COLMAP_ROBcopyleft2144.59 111658.33 2161869.33 2181025.33 2261030.00 2351023.00 2405311.00 235359.00 2323044.00 236937.00 2272892.00 235332.00 2261440.00 2372312.00 237607.00 221613.00 222
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ambc999.00 219999.00 228999.00 233999.00 182999.00 282999.00 228999.00 194999.00 274999.00 224999.00 204999.00 258999.00 255
OurMVSNet-221017-0999.00 199999.00 198999.00 219999.00 228999.00 233999.00 182999.00 282999.00 195999.00 228999.00 194999.00 274999.00 224999.00 204999.00 258999.00 255
EPMVS999.00 199999.00 198999.00 219999.00 228999.00 233999.00 182999.00 282999.00 195999.00 228999.00 194999.00 274999.00 224999.00 204999.00 258999.00 255
uanet_test1000.00 2011000.00 2001000.00 2221000.00 2311000.00 2361000.00 1851000.00 2851000.00 1971000.00 2311000.00 1971000.00 2771000.00 2271000.00 2071000.00 2611000.00 258
sosnet1000.00 2011000.00 2001000.00 2221000.00 2311000.00 2361000.00 1851000.00 2851000.00 1971000.00 2311000.00 1971000.00 2771000.00 2271000.00 2071000.00 2611000.00 258
USDC1000.00 2011000.00 2001000.00 2221000.00 2311000.00 2361000.00 1851000.00 2851000.00 1971000.00 2311000.00 1971000.00 2771000.00 2271000.00 2071000.00 2611000.00 258
TinyColmap1000.00 2011000.00 2001000.00 2221000.00 2311000.00 2361000.00 1851000.00 2851000.00 1971000.00 2311000.00 1971000.00 2771000.00 2271000.00 2071000.00 2611000.00 258
JIA-IIPM804.30 190835.64 183710.26 213885.90 223895.90 231455.98 167668.73 2711297.17 2061002.26 2351001.67 201655.98 259756.98 214667.90 191885.21 251477.90 217
RPMNet787.26 189829.13 182661.63 208885.90 223895.90 231455.98 167610.10 2661297.17 2061002.26 2351001.67 201655.98 259611.10 208667.90 191885.21 251477.90 217
F-COLMAP1878.17 2172113.11 2201173.33 2301231.00 2361174.00 2416297.00 238392.00 2373356.00 2391087.00 2373082.00 236361.00 2301670.00 2392523.00 239689.00 228676.00 227
PCF-MVS4335.85 202272.23 2232597.03 2261297.84 2311701.20 2451332.37 2428105.11 253451.45 2454031.84 2441099.10 2383966.50 243467.45 2381734.05 2412701.68 242848.94 248827.11 238
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CMPMVSbinary2623.62 151983.08 2192156.14 2211463.89 2401414.80 2421517.00 2465239.20 234867.40 2763310.30 2381128.70 2393489.90 238366.75 2312030.20 2512427.60 2381160.60 270844.46 240
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVScopyleft2352.88 132263.08 2222530.89 2251459.67 2391767.00 2531591.00 2497932.00 251399.00 2383643.00 2401176.00 2403569.00 240297.00 2211927.00 2473302.00 245693.00 233861.00 241
MVS-HIRNet2125.39 2202452.68 2231143.53 2282938.33 2831446.92 2456083.19 237391.74 2363801.71 2421202.10 2413439.72 237492.73 2401304.35 2363048.25 244676.32 227679.32 228
ZD-MVS1584.00 2431821.00 266378.00 2353721.00 2411231.00 2421833.00 223321.00 2251224.00 2352103.00 236692.00 232
DeepPCF-MVS3452.42 182670.71 2313021.57 2331618.12 2422377.67 2691751.39 2628915.70 258567.44 2644569.74 2511236.84 2434615.63 249513.23 2412291.32 2533515.48 249882.39 250811.66 234
PLCcopyleft2858.82 162192.92 2212474.00 2241349.67 2321407.00 2411356.00 2437164.00 243475.00 2493970.00 2431237.00 2443765.00 242451.00 2371891.00 2453006.00 243791.00 244802.00 232
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
Vis-MVSNetpermissive2877.42 2343170.00 2371999.67 2551673.00 2442042.00 2728593.00 256474.00 2486452.00 2681268.00 2455125.00 256339.00 2273004.00 2694222.00 259384.00 216953.00 251
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
DeepC-MVS3917.13 193155.06 2373601.83 2401814.72 2502515.52 2721941.53 26710432.50 273589.42 2654789.45 2521298.65 2467677.31 274578.35 2482589.53 2593611.78 251923.52 253913.10 246
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
test_0728_THIRD5016.02 2551363.85 2474894.28 253387.23 2322023.43 2483973.88 253620.04 224732.56 229
test07261725.60 2461598.35 2509203.30 259315.86 2265016.02 2551363.85 2474894.28 253387.23 232
SD-MVS2654.53 2303055.56 2351451.45 2371725.60 2461598.35 2509203.30 259315.86 2265016.02 2551363.85 2474894.28 253387.23 2322023.43 2483973.88 253620.04 224732.56 229
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
3Dnovator2482.06 142531.17 2272839.56 2301606.00 2411732.00 2491557.00 2488375.00 255483.00 2504370.00 2491371.00 2504200.00 244350.00 2282207.00 2523877.00 252798.00 2451054.00 262
SteuartSystems-ACMMP2891.50 2353284.78 2381711.67 2451954.00 2561655.00 25610117.00 272445.00 2445102.00 2581375.00 2515126.00 257351.00 2292638.00 2654402.00 260691.00 231842.00 239
Skip Steuart: Steuart Systems R&D Blog.
AdaColmapbinary2570.77 2292948.61 2321437.24 2361873.64 2551526.60 2477819.77 250373.97 2334970.45 2531479.29 2524648.46 250525.80 2431904.97 2464150.42 257695.69 234880.14 245
LF4IMVS2699.50 2323049.67 2341649.00 2431755.00 2501689.00 2578330.00 254464.00 2474997.00 2541528.00 2534763.00 252568.00 2472296.00 2544215.00 258827.00 247962.00 252
tpmrst2557.50 2282847.12 2311688.66 2441784.08 2541778.25 2637445.50 249342.14 2294471.54 2501534.55 2544382.10 248530.10 2442361.21 2554142.81 256991.22 256926.51 247
CHOSEN 280x4202340.81 2242643.03 2271434.14 2332025.55 2621629.36 2536542.40 239412.49 2394219.70 2461547.02 2554328.52 245650.74 2561798.26 2423333.17 246727.72 235874.79 242
CHOSEN 1792x26882340.81 2242643.03 2271434.14 2332025.55 2621629.36 2536542.40 239412.49 2394219.70 2461547.02 2554328.52 245650.74 2561798.26 2423333.17 246727.72 235874.79 242
HyFIR lowres test2340.81 2242643.03 2271434.14 2332025.55 2621629.36 2536542.40 239412.49 2394219.70 2461547.02 2554328.52 245650.74 2561798.26 2423333.17 246727.72 235874.79 242
DPM-MVS3268.00 2383762.89 2411783.33 2481756.00 2511806.00 26412319.00 275307.00 2246319.00 2661557.00 2585763.00 259302.00 2232609.00 2615061.00 264482.00 219935.00 249
OPM-MVS3268.00 2383762.89 2411783.33 2481756.00 2511806.00 26412319.00 275307.00 2246319.00 2661557.00 2585763.00 259302.00 2232609.00 2615061.00 264482.00 219935.00 249
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
EGC-MVSNET2819.75 2333096.89 2361988.33 2543105.00 2842241.00 2749480.00 263640.00 2704209.00 2451583.00 2604740.00 251547.00 2462797.00 2672644.00 241924.00 254927.00 248
tpm23617.85 2424007.23 2442449.73 2622012.71 2581698.05 2587351.19 245869.29 2776132.06 2611588.28 2618007.42 2771281.09 2833888.11 2817472.04 2821351.00 2721763.02 278
tpm cat13617.85 2424007.23 2442449.73 2622012.71 2581698.05 2587351.19 245869.29 2776132.06 2611588.28 2618007.42 2771281.09 2833888.11 2817472.04 2821351.00 2721763.02 278
CostFormer3617.85 2424007.23 2442449.73 2622012.71 2581698.05 2587351.19 245869.29 2776132.06 2611588.28 2618007.42 2771281.09 2833888.11 2817472.04 2821351.00 2721763.02 278
tpm3617.85 2424007.23 2442449.73 2622012.71 2581698.05 2587351.19 245869.29 2776132.06 2611588.28 2618007.42 2771281.09 2833888.11 2817472.04 2821351.00 2721763.02 278
DVP-MVS++3981.10 2484731.32 2531730.42 2462191.51 2651949.98 26816473.90 284355.33 2307172.90 2771622.98 2657879.79 275434.33 2352428.11 2575762.12 267689.04 229813.18 235
DVP-MVScopyleft3981.10 2484731.32 2531730.42 2462191.51 2651949.98 26816473.90 284355.33 2307172.90 2771622.98 2657879.79 275434.33 2352428.11 2575762.12 267689.04 229813.18 235
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
OpenMVS_ROBcopyleft1936.51 101959.51 2182224.88 2221163.39 2291253.91 2371434.22 2447065.71 242272.76 2222472.29 2331647.54 2673538.72 239200.37 2081496.48 2382575.17 240997.45 257559.48 219
TAPA-MVS6309.84 213374.90 2403806.99 2432078.63 2572535.47 2732499.25 2828816.16 257456.05 2466255.60 2651664.52 2686704.88 264629.95 2542768.38 2666343.93 278856.35 249968.25 253
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 2414065.89 2481914.35 2512349.10 2682141.30 27312362.70 277417.60 2436717.80 2721759.40 2696497.50 262518.18 2422629.38 2645164.32 266806.40 246972.38 254
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
3Dnovator+3414.41 173146.67 2363537.00 2391975.67 2522310.00 2672005.00 27110100.00 271626.00 2695753.00 2591803.00 2705179.00 258487.00 2392622.00 2634550.00 2611025.00 2651300.00 269
ITE_SJBPF2014.00 2561998.00 2571992.00 270701.00 2725989.00 2601812.00 2713612.00 241650.00 2552852.00 2684601.00 2621195.00 2711198.00 268
MVS_111021_HR3742.80 2464330.34 2491980.20 2532484.31 2712259.52 27514973.80 282515.90 2636500.13 2691949.21 2726146.89 261535.66 2452593.66 2604880.76 263986.37 2551087.43 263
FOURS12643.17 2742465.14 27713996.40 279493.26 2517619.38 2802107.24 273
PC_three_14527619.38 2802107.24 2737416.93 271610.24 2513088.29 2746075.14 2741078.39 2661159.26 264
test_one_06012643.17 2742465.14 277493.26 2517619.38 2802107.24 2737416.93 271610.24 251
SED-MVS4062.74 2514671.13 2522237.56 2582643.17 2742465.14 27713996.40 279493.26 2517619.38 2802107.24 2737416.93 271610.24 2513088.29 2746075.14 2741078.39 2661159.26 264
IU-MVS2725.60 2792598.35 283515.86 2597016.02 2732363.85 2775973.88 2701620.04 2781732.56 274
test_241102_TWO515.86 2597016.02 2732363.85 2776894.28 265887.23 2693023.43 2705973.88 2701620.04 2781732.56 274
test_241102_ONE2725.60 2792598.35 283515.86 2597016.02 2732363.85 2776894.28 265887.23 2693023.43 270
MSP-MVS4296.20 2524911.12 2562451.45 2662725.60 2792598.35 28316203.30 283515.86 2597016.02 2732363.85 2776894.28 265887.23 2693023.43 2705973.88 2701620.04 2781732.56 274
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 2504533.33 2512400.00 2612400.00 2702400.00 2767200.00 2442400.00 2937200.00 2792400.00 2817200.00 2692400.00 2872400.00 2567200.00 2802400.00 2842400.00 283
MAR-MVS3973.16 2474387.92 2502728.86 2683345.27 2853341.39 28911403.90 274798.76 2746555.62 2712569.29 2826514.86 263834.97 2683237.43 2785891.08 2691577.54 2771607.76 270
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
API-MVS4380.83 2534906.56 2552803.67 2693844.00 2863116.00 28813454.00 278901.00 2816511.00 2702794.00 2837365.00 270754.00 2653634.00 2796622.00 2791914.00 2831661.00 273
OMC-MVS5022.26 2545748.82 2572842.58 2704905.27 2883101.27 28714933.60 281812.24 2759278.40 2842959.29 2848800.17 2811092.24 2813806.30 2807568.54 2861389.60 2761620.18 272
LS3D7684.71 2568776.23 2594410.16 2725298.55 2895631.53 29134329.90 2891504.57 29111554.00 2933896.41 28515111.00 290812.19 2665985.63 2863516.20 2502963.23 2851613.31 271
CLD-MVS7338.25 2558341.00 2584330.00 2714902.00 2874991.00 29023318.00 287728.00 27314437.00 2944378.00 28613379.00 289824.00 2675708.00 28511429.00 2951674.00 2822291.00 282
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MVEpermissive10021.00 2210550.67 26410002.44 26712195.33 2816242.00 2908768.00 29330896.00 2884451.00 29410331.00 2926247.00 28718296.00 291283.00 22021484.00 2957364.00 2815912.00 2876334.00 285
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 26511772.44 2687637.33 2739120.00 2918206.00 29222252.00 2862010.00 29224984.00 2957458.00 28822596.00 2922940.00 28810260.00 29411100.00 2943492.00 2864446.00 284
ZNCC-MVS9999.00 2579999.00 2609999.00 2749999.00 2929999.00 2949999.00 2649999.00 2979999.00 2859999.00 2899999.00 2829999.00 2909999.00 2879999.00 2879999.00 2889999.00 286
patch_mono-210000.00 25810000.00 26110000.00 27510000.00 29310000.00 29510000.00 26510000.00 29810000.00 28610000.00 29010000.00 28310000.00 29110000.00 28810000.00 28810000.00 28910000.00 287
dcpmvs_210000.00 25810000.00 26110000.00 27510000.00 29310000.00 29510000.00 26510000.00 29810000.00 28610000.00 29010000.00 28310000.00 29110000.00 28810000.00 28810000.00 28910000.00 287
DCPMVS10000.00 25810000.00 26110000.00 27510000.00 29310000.00 29510000.00 26510000.00 29810000.00 28610000.00 29010000.00 28310000.00 29110000.00 28810000.00 28810000.00 28910000.00 287
UA-Net10000.00 25810000.00 26110000.00 27510000.00 29310000.00 29510000.00 26510000.00 29810000.00 28610000.00 29010000.00 28310000.00 29110000.00 28810000.00 28810000.00 28910000.00 287
uncertanet10000.00 25810000.00 26110000.00 27510000.00 29310000.00 29510000.00 26510000.00 29810000.00 28610000.00 29010000.00 28310000.00 29110000.00 28810000.00 28810000.00 28910000.00 287
uanet10000.00 25810000.00 26110000.00 27510000.00 29310000.00 29510000.00 26510000.00 29810000.00 28610000.00 29010000.00 28310000.00 29110000.00 28810000.00 28810000.00 28910000.00 287
LTVRE_ROB20565.47 2323378.08 26622805.00 26925097.33 28215500.00 29919201.00 30142712.00 2906055.00 29538388.00 29616926.00 29638534.00 2937071.00 28935653.00 29629475.00 29610584.00 29520438.00 294
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 26734443.44 27027094.33 28329249.00 30025246.00 30251144.00 2916705.00 29642886.00 29722888.00 29748534.00 29413263.00 29737507.00 29779298.00 29716024.00 29618530.00 293
114514_t99999.00 26899999.00 27199999.00 28499999.00 30199999.00 30399999.00 29299999.00 30499999.00 29899999.00 29899999.00 29599999.00 29899999.00 29899999.00 29899999.00 29799999.00 295
PHI-MVS99999.00 26899999.00 27199999.00 28499999.00 30199999.00 30399999.00 29299999.00 30499999.00 29899999.00 29899999.00 29599999.00 29899999.00 29899999.00 29899999.00 29799999.00 295
XVG-OURS-SEG-HR999999.00 272999999.00 273999999.00 286999999.00 303999999.00 305999999.00 294999999.00 306999999.00 300999999.00 300999999.00 297999999.00 300999999.00 300999999.00 300999999.00 299999999.00 297
XVG-OURS999999.00 272999999.00 273999999.00 286999999.00 303999999.00 305999999.00 294999999.00 306999999.00 300999999.00 300999999.00 297999999.00 300999999.00 300999999.00 300999999.00 299999999.00 297
XVG-ACMP-BASELINE999999.00 272999999.00 273999999.00 286999999.00 303999999.00 305999999.00 294999999.00 306999999.00 300999999.00 300999999.00 297999999.00 300999999.00 300999999.00 300999999.00 299999999.00 297
dmvs_re10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
SDMVSNet10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
dmvs_testset10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
sd_testset10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
iter_conf_final10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
bld_raw_dy_0_6410000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
test250610000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
test111110000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
ECVR-MVScopyleft10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
test_blank10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
tt080510000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
Anonymous2024052110000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
cl2210000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
miper_ehance_all_eth10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
miper_enhance_ethall10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
cl____10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
DIV-MVS_self_test10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
eth_miper_zixun_eth10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
ET-MVSNet_ETH3D10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
UniMVSNet_ETH3D10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
miper_lstm_enhance10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
D2MVS10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
test_yl10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
thisisatest053010000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
Anonymous2024052910000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
Anonymous20240521110000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
DCV-MVSNet10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
tttt051710000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
our_test_310000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
thisisatest051510000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
ppachtmachnet_test10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
SMA-MVScopyleft10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
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 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part210000000.00 30610000000.00 30810000000.00 303
thres100view90010000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
tfpnnormal10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
tfpn200view910000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
c3_l10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
IterMVS-SCA-FT10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
pmmvs610000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
pmmvs510000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
Anonymous2023121110000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
pmmvs-eth3d10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
Anonymous2023120610000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
SCA10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
Patchmatch-test10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
Patchmatch-RL test10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
canonicalmvs10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
anonymousdsp10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
FIs10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
FC-MVSNet-test10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
sosnet-low-res10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
AllTest10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
TestCases10000000.00 28910000000.00 30610000000.00 30810000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
iter_conf0510000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
RRT_MVS10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
HPM-MVS++copyleft10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
XVS10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
pm-mvs110000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
X-MVStestdata10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
APDe-MVScopyleft10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
pmmvs410000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
test-LLR10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
TESTMET0.1,110000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
test-mter10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
testgi10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
test20.0310000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
thres600view710000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
MP-MVScopyleft10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
thres40010000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
test12310000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
thres20010000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
test0.0.03 110000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
pmmvs310000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
EMVS10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
E-PMN10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
PGM-MVS10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
MCST-MVS10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
MVS_Test10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
PMMVS210000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
PM-MVS10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
HQP_MVS10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
plane_prior310000000.00 30810000000.00 30310000000.00 303
mPP-MVS10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
mvsmamba10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
HPM-MVS_fast10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
HPM-MVScopyleft10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
LGP-MVS_train10000000.00 28910000000.00 30610000000.00 30810000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
EPNet_dtu10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP-NCC10000000.00 30610000000.00 29710000000.00 30310000000.00 303
ACMP_Plane10000000.00 30610000000.00 29710000000.00 30310000000.00 303
HQP4-MVS10000000.00 30310000000.00 30310000000.00 300
CNVR-MVS10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
NCCC10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
CP-MVS10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
CPTT-MVS10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
HQP-MVS10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
IS-MVSNet10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
PAPM_NR10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
PAPR10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
Vis-MVSNet (Re-imp)10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
PatchMatch-RL10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
TDRefinement10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
EPP-MVSNet10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
PMMVS10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
PAPM10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
ACMMPcopyleft10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
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 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
wuyk23d10000000.00 27510000000.00 27810000000.00 28910000000.00 30610000000.00 30810000000.00 29710000000.00 30910000000.00 30310000000.00 30310000000.00 30010000000.00 30310000000.00 30310000000.00 30310000000.00 30210000000.00 300
APD-MVScopyleft1000000000.00 3811000000000.00 3841000000000.00 3971000000000.00 4221000000000.00 4221000000000.00 4081000000000.00 4221000000000.00 4151000000000.00 4161000000000.00 4131000000000.00 4181000000000.00 4161000000000.00 4151000000000.00 4141000000000.00 412
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
WAC-MVS248.46 175422.23 170
MSC_two_6792asdad2237.56 2582643.17 2742465.14 277493.26 2513088.29 2746075.14 2741078.39 2661159.26 264
No_MVS2237.56 2582643.17 2742465.14 277493.26 2513088.29 2746075.14 2741078.39 2661159.26 264
eth-test21.42 84
eth-test10000000.00 306
OPU-MVS2451.45 2662725.60 2792598.35 2839203.30 2596894.28 265887.23 2693023.43 2705973.88 2701620.04 2781732.56 274
save fliter0.00 10.00 10.00 10.00 10.00 1
test_0728_SECOND1451.45 2371725.60 2461598.35 2509203.30 259315.86 2262023.43 2483973.88 253620.04 224732.56 229
GSMVS10000000.00 300
sam_mvs110000000.00 30310000000.00 300
sam_mvs10000000.00 303
MTGPAbinary10000000.00 309
test_post110000000.00 29710000000.00 30010000000.00 30310000000.00 30310000000.00 303
test_post10000000.00 30010000000.00 30310000000.00 303
patchmatchnet-post10000000.00 30010000000.00 30310000000.00 303
MTMP10000000.00 29710000000.00 309
gm-plane-assit611.29 203600.33 211579.21 171567.40 167531.67 191503.93 176
test9_res0.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
test_prior40.00 10.00 1
test_prior0.00 10.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
旧先验10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
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
plane_prior710000000.00 30610000000.00 308
plane_prior610000000.00 30610000000.00 30810000000.00 303
plane_prior510000000.00 30910000000.00 30310000000.00 30310000000.00 30210000000.00 300
plane_prior410000000.00 300
plane_prior210000000.00 29710000000.00 303
plane_prior110000000.00 306
plane_prior1.00 782.00 1062.00 1072.00 105
n214.20 148
nn1.42 86
door-mid1.42 86
test111.00 79
door99.00 190
HQP5-MVS10000000.00 308
BP-MVS10000000.00 303
HQP3-MVS10000000.00 30910000000.00 302
HQP2-MVS10000000.00 303
NP-MVS10000000.00 30610000000.00 30810000000.00 300
ACMMP++_ref10000000.00 302
ACMMP++10000000.00 302
Test By Simon990.00 273