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 bysort bysort bysort bysort bysorted 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 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
test9_res0.00 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
agg_prior20.00 10.00 10.00 1
HFP-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
region2R0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_prior20.00 10.00 10.00 10.00 10.00 10.00 10.00 1
旧先验20.00 10.00 10.00 10.00 10.00 1
新几何10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
无先验0.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata20.00 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-mvs330.30 350.30 360.30 410.30 470.30 480.30 480.30 490.30 480.30 470.30 450.30 470.30 480.30 460.30 460.30 46
hse-mvs20.30 350.30 360.30 410.30 470.30 480.30 480.30 490.30 480.30 470.30 450.30 470.30 480.30 460.30 460.30 46
CL-MVSNet_self_test0.30 350.30 360.30 410.30 470.30 480.30 480.30 490.30 480.30 470.30 450.30 470.30 480.30 460.30 460.30 46
AUN-MVS0.30 350.30 360.30 410.30 470.30 480.30 480.30 490.30 480.30 470.30 450.30 470.30 480.30 460.30 460.30 46
LCM-MVSNet0.37 390.36 400.37 450.37 510.37 520.37 520.32 530.37 520.37 510.37 490.37 510.37 520.37 500.37 500.37 50
v1441920.40 400.40 410.40 460.40 520.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v19219200.40 400.40 410.40 460.40 520.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v11920.40 400.40 410.40 460.40 520.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v11440.40 400.40 410.40 460.40 520.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v1480.40 400.40 410.40 460.40 520.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v7n0.40 400.40 410.40 460.40 520.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v12400.40 400.40 410.40 460.40 520.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v80.40 400.40 410.40 460.40 520.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v100.40 400.40 410.40 460.40 520.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v2v4820.40 400.40 410.40 460.40 520.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
V420.40 400.40 410.40 460.40 520.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
GA-MVS0.40 400.40 410.40 460.40 520.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
Fast-Effi-MVS+0.41 520.40 410.41 580.41 640.41 650.41 650.35 540.41 650.41 640.41 620.41 640.41 650.41 630.41 630.41 63
Fast-Effi-MVS+-dtu0.44 530.44 540.44 590.44 650.44 660.44 660.44 670.44 660.44 650.44 630.44 650.44 660.44 640.44 640.44 64
KD-MVS_self_test0.60 560.60 560.60 610.60 670.60 680.60 690.60 690.60 680.60 670.60 650.60 670.60 680.60 650.60 670.60 66
EIA-MVS0.62 570.62 580.62 620.62 680.62 690.62 700.62 700.62 690.62 680.62 660.62 680.62 690.62 660.62 680.62 67
ETV-MVS0.62 570.62 580.62 620.62 680.62 690.62 700.62 700.62 690.62 680.62 660.62 680.62 690.62 660.62 680.62 67
CS-MVS0.62 570.62 580.62 620.62 680.62 690.62 700.62 700.62 690.62 680.62 660.62 680.62 690.62 660.62 680.62 67
CS-MVS-test0.62 570.62 580.62 620.62 680.62 690.62 700.62 700.62 690.62 680.62 660.62 680.62 690.62 660.62 680.62 67
Effi-MVS+0.58 540.56 550.62 620.53 660.62 690.53 670.53 680.53 670.62 680.62 660.53 660.62 690.62 660.53 650.62 67
EC-MVSNet0.62 570.62 580.62 620.62 680.62 690.62 700.62 700.62 690.62 680.62 660.62 680.62 690.62 660.62 680.62 67
Effi-MVS+-dtu0.59 550.61 570.53 600.68 730.53 670.53 670.68 750.68 740.53 660.53 640.68 730.53 670.68 720.53 650.53 65
CDS-MVSNet0.88 620.88 630.88 680.88 740.88 750.88 750.88 760.88 750.88 740.88 720.88 740.88 750.88 730.88 730.88 73
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 620.88 630.88 680.88 740.88 750.88 750.88 760.88 750.88 740.88 720.88 740.88 750.88 730.88 730.88 73
LCM-MVSNet-Re0.89 640.89 650.89 700.89 760.89 770.89 770.89 780.89 770.89 760.89 740.89 760.89 770.89 750.89 750.89 75
DeepMVS_CXcopyleft1.00 711.00 771.00 781.00 791.00 781.00 771.00 751.00 771.00 781.00 761.00 761.00 76
MDA-MVSNet-bldmvs1.20 651.20 661.20 721.20 781.20 801.20 781.20 811.20 791.20 781.20 761.20 781.20 791.20 771.20 771.20 77
YYNet11.20 651.20 661.20 721.20 781.20 801.20 781.20 811.20 791.20 781.20 761.20 781.20 791.20 771.20 771.20 77
MDA-MVSNet_test_wron1.20 651.20 661.20 721.20 781.20 801.20 781.20 811.20 791.20 781.20 761.20 781.20 791.20 771.20 771.20 77
KD-MVS_2432*16001.30 681.30 691.30 751.30 811.30 831.30 811.30 841.30 821.30 811.30 791.30 811.30 821.30 801.30 801.30 80
miper_refine_blended1.30 681.30 691.30 751.30 811.30 831.30 811.30 841.30 821.30 811.30 791.30 811.30 821.30 801.30 801.30 80
EI-MVSNet-UG-set1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
EI-MVSNet-Vis-set1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
EI-MVSNet1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
Regformer1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
CVMVSNet1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
EU-MVSNet1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
PS-CasMVS1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
UniMVSNet_NR-MVSNet1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
PEN-MVS1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
TransMVSNet (Re)1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
DTE-MVSNet1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
DU-MVS1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
UniMVSNet (Re)1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
CP-MVSNet1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
WR-MVS_H1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
WR-MVS1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
NR-MVSNet1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
Baseline_NR-MVSNet1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
TranMVSNet+NR-MVSNet1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
MVSFormer1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
jason1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
jason: jason.
lupinMVS1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
test_djsdf1.42 701.42 711.42 771.42 831.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
alignmvs2.00 932.00 942.00 1002.00 1072.00 1082.00 1062.00 1112.00 1072.00 1062.00 1042.00 1062.00 1072.00 1052.00 1052.00 105
nrg0302.00 932.00 942.00 1002.00 1072.00 1082.00 1062.00 1112.00 1072.00 1062.00 1042.00 1062.00 1072.00 1052.00 1052.00 105
LFMVS2.00 932.00 942.00 1002.00 1072.00 1082.00 1062.00 1112.00 1072.00 1062.00 1042.00 1062.00 1072.00 1052.00 1052.00 105
VDD-MVS2.00 932.00 942.00 1002.00 1072.00 1082.00 1062.00 1112.00 1072.00 1062.00 1042.00 1062.00 1072.00 1052.00 1052.00 105
VDDNet2.00 932.00 942.00 1002.00 1072.00 1082.00 1062.00 1112.00 1072.00 1062.00 1042.00 1062.00 1072.00 1052.00 1052.00 105
VPNet2.00 932.00 942.00 1002.00 1072.00 1082.00 1062.00 1112.00 1072.00 1062.00 1042.00 1062.00 1072.00 1052.00 1052.00 105
VNet2.00 932.00 942.00 1002.00 1072.00 1082.00 1062.00 1112.00 1072.00 1062.00 1042.00 1062.00 1072.00 1052.00 1052.00 105
VPA-MVSNet2.00 932.00 942.00 1002.00 1072.00 1082.00 1062.00 1112.00 1072.00 1062.00 1042.00 1062.00 1072.00 1052.00 1052.00 105
cascas2.00 932.00 942.00 1002.00 1072.00 1082.00 1062.00 1112.00 1072.00 1062.00 1042.00 1062.00 1072.00 1052.00 1052.00 105
UnsupCasMVSNet_eth5.90 1025.90 1035.90 1095.90 1165.90 1175.90 1165.90 1235.90 1175.90 1155.90 1135.90 1175.90 1165.90 1145.90 1175.90 117
UnsupCasMVSNet_bld5.90 1025.90 1035.90 1095.90 1165.90 1175.90 1165.90 1235.90 1175.90 1155.90 1135.90 1175.90 1165.90 1145.90 1175.90 117
WTY-MVS5.90 1025.90 1035.90 1095.90 1165.90 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 1025.90 1035.90 1095.90 1165.90 1175.90 1165.90 1235.90 1175.90 1155.90 1135.90 1175.90 1165.90 1145.90 1175.90 117
sss5.90 1025.90 1035.90 1095.90 1165.90 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 1025.90 1035.90 1095.90 1165.90 1175.90 1165.90 1235.90 1175.90 1155.90 1135.90 1175.90 1165.90 1145.90 1175.90 117
1112_ss5.90 1025.90 1035.90 1095.90 1165.90 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 1025.90 1035.90 1095.90 1165.90 1175.90 1165.90 1235.90 1175.90 1155.90 1135.90 1175.90 1165.90 1145.90 1175.90 117
ab-mvs5.90 1025.90 1035.90 1095.90 1165.90 1175.90 1165.90 1235.90 1175.90 1155.90 1135.90 1175.90 1165.90 1145.90 1175.90 117
CDPH-MVS6.66 1116.66 1126.66 1186.66 1256.66 1266.66 1256.66 1326.66 1266.66 1246.66 1226.66 1266.66 1256.66 1236.66 1266.66 126
MDTV_nov1_ep13_2view9.99 1289.99 1269.99 1279.99 1269.99 1289.99 1249.99 127
MDTV_nov1_ep139.99 1139.99 1269.99 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 11210.28 11410.28 12010.28 12710.28 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 11210.28 11410.28 12010.28 12710.28 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 11210.28 11410.28 12010.28 12710.28 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 11210.28 11410.28 12010.28 12710.28 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 11210.28 11410.28 12010.28 12710.28 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 11210.28 11410.28 12010.28 12710.28 13010.28 12810.28 13510.28 12910.28 12810.28 12410.28 13010.28 12810.28 12610.28 12910.28 128
PS-MVSNAJss10.28 11210.28 11410.28 12010.28 12710.28 13010.28 12810.28 13510.28 12910.28 12810.28 12410.28 13010.28 12810.28 12610.28 12910.28 128
PS-MVSNAJ10.28 11210.28 11410.28 12010.28 12710.28 13010.28 12810.28 13510.28 12910.28 12810.28 12410.28 13010.28 12810.28 12610.28 12910.28 128
jajsoiax10.28 11210.28 11410.28 12010.28 12710.28 13010.28 12810.28 13510.28 12910.28 12810.28 12410.28 13010.28 12810.28 12610.28 12910.28 128
mvs_tets10.28 11210.28 11410.28 12010.28 12710.28 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 12211.55 12411.55 13211.55 13811.55 14111.55 13811.55 14711.55 13911.55 13911.55 13411.55 14111.55 13811.55 13611.55 13911.55 138
dp87.20 131113.80 1357.42 11910.50 1378.88 127298.82 1532.70 120510.35 1707.79 125172.93 1463.37 1159.16 12614.00 1373.71 1154.23 115
XXY-MVS15.00 12315.00 12515.00 13315.00 13915.00 14315.00 13915.00 14915.00 14015.00 14115.00 13515.00 14515.00 14015.00 13815.00 14115.00 140
GeoE19.41 12522.09 12711.37 13117.21 14111.30 14050.50 1444.30 12233.60 14111.70 14044.50 1417.30 12718.90 14122.60 1397.10 1273.90 114
test_method18.29 12420.89 12610.50 13015.00 13913.00 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 12640.00 12840.00 13540.00 14240.00 14440.00 14040.00 16640.00 14340.00 14340.00 13740.00 16240.00 14340.00 14140.00 15540.00 151
BH-untuned40.00 12640.00 12840.00 13540.00 14240.00 14440.00 14040.00 16640.00 14340.00 14340.00 13740.00 16240.00 14340.00 14140.00 15540.00 151
BH-RMVSNet40.00 12640.00 12840.00 13540.00 14240.00 14440.00 14040.00 16640.00 14340.00 14340.00 13740.00 16240.00 14340.00 14140.00 15540.00 151
TR-MVS40.00 12640.00 12840.00 13540.00 14240.00 14440.00 14040.00 16640.00 14340.00 14340.00 13740.00 16240.00 14340.00 14140.00 15540.00 151
GBi-Net44.67 13049.24 13230.96 13447.53 14647.57 148126.09 1468.00 13376.99 14726.09 14273.50 14311.27 14030.55 14261.12 14512.58 14014.75 139
new_pmnet88.14 13298.62 13356.70 13998.14 15356.07 149246.79 14815.37 150148.06 14850.77 147143.13 14423.35 14662.65 14793.26 14668.71 16351.38 161
N_pmnet88.14 13298.62 13356.70 13998.14 15356.07 149246.79 14815.37 150148.06 14850.77 147143.13 14423.35 14662.65 14793.26 14668.71 16351.38 161
tmp_tt371.08 155412.78 156246.00 166231.00 168197.00 1711293.00 196376.00 233756.00 184609.00 21171.00 142106.00 182195.00 167102.00 148171.00 183346.00 207
DSMNet-mixed131.33 145143.00 14796.33 15799.00 15581.00 157201.00 14745.00 171335.00 16699.00 165251.00 16138.00 161110.00 163120.00 14999.00 16898.00 165
CANet110.62 134124.04 13670.34 14282.03 15074.27 154325.54 15425.25 152207.16 15069.28 152194.38 14727.53 14895.79 156147.76 15037.43 14540.97 155
CANet_DTU110.62 134124.04 13670.34 14282.03 15074.27 154325.54 15425.25 152207.16 15069.28 152194.38 14727.53 14895.79 156147.76 15037.43 14540.97 155
UGNet110.62 134124.04 13670.34 14282.03 15074.27 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 138140.93 14076.26 147107.44 156100.17 161329.88 15727.12 158259.44 15974.30 155204.34 15030.74 15192.41 149196.98 15338.15 14836.19 142
test1124.76 138140.93 14076.26 147107.44 156100.17 161329.88 15727.12 158259.44 15974.30 155204.34 15030.74 15192.41 149196.98 15338.15 14836.19 142
FMVSNet3124.76 138140.93 14076.26 147107.44 156100.17 161329.88 15727.12 158259.44 15974.30 155204.34 15030.74 15192.41 149196.98 15338.15 14836.19 142
FMVSNet2124.76 138140.93 14076.26 147107.44 156100.17 161329.88 15727.12 158259.44 15974.30 155204.34 15030.74 15192.41 149196.98 15338.15 14836.19 142
FMVSNet1124.76 138140.93 14076.26 147107.44 156100.17 161329.88 15727.12 158259.44 15974.30 155204.34 15030.74 15192.41 149196.98 15338.15 14836.19 142
MIMVSNet1124.76 138140.93 14076.26 147107.44 156100.17 161329.88 15727.12 158259.44 15974.30 155204.34 15030.74 15192.41 149196.98 15338.15 14836.19 142
MIMVSNet124.76 138140.93 14076.26 147107.44 156100.17 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 146155.40 14881.40 154111.00 16396.20 158407.00 16425.90 155251.60 15685.10 162240.50 15837.00 15899.90 159199.80 16040.70 15948.10 158
PVSNet_BlendedMVS136.90 146155.40 14881.40 154111.00 16396.20 158407.00 16425.90 155251.60 15685.10 162240.50 15837.00 15899.90 159199.80 16040.70 15948.10 158
PVSNet_Blended136.90 146155.40 14881.40 154111.00 16396.20 158407.00 16425.90 155251.60 15685.10 162240.50 15837.00 15899.90 159199.80 16040.70 15948.10 158
MTAPA833442.10 2691111233.77 27567.09 14165.59 14764.81 151284.50 15010000000.00 308219.97 15359.62 149229.89 15712.72 142103.00 162203.67 16327.93 14233.46 141
ACMMP_NAP118.81 137133.18 13975.70 14574.28 14873.29 152284.50 15011.35 145238.58 15465.86 150255.35 16214.55 143115.69 164222.18 16431.94 14338.12 149
FE-MVS207.10 149234.26 151125.61 158180.34 166153.23 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 150293.29 152164.72 159236.23 169199.99 172800.05 17642.35 170475.87 169155.47 167470.67 16658.49 167205.24 168319.44 16681.03 16588.93 164
DP-MVS264.78 151296.02 153171.04 160191.70 167183.96 169827.10 17778.36 175438.24 168176.64 168435.12 16565.04 169230.52 170334.02 167117.96 17298.64 166
Syy-MVS370.76 154415.60 157236.25 163310.54 174210.76 173965.13 17998.58 187746.06 182266.26 175788.85 18191.37 176364.76 177357.17 168116.42 170133.22 170
WB-MVS316.44 152357.41 154193.51 162257.06 170213.32 174914.45 17849.03 172600.77 176186.42 170634.00 17575.03 172251.35 172411.39 16988.55 166115.87 168
WAC-MVS248.46 175422.23 170
SSC-MVS320.23 153364.09 155188.66 161260.78 171193.84 170975.93 18173.11 174596.72 175185.29 169589.02 17274.47 171246.01 171427.42 17194.06 167126.12 169
testing3418.10 159469.06 161265.23 169335.69 176290.63 1801240.88 19493.72 182717.99 180215.31 171811.97 187232.41 216358.74 176458.67 172114.88 169146.32 172
myMVS_eth3d390.90 156437.44 158251.28 167310.54 174255.86 177965.13 17998.58 187746.06 182266.26 175788.85 181154.95 189364.76 177490.19 173116.42 170133.22 170
ADS-MVSNet2443.33 162482.84 162324.79 177434.94 189387.73 1881110.57 18987.69 179887.02 190282.92 178779.29 17998.57 180422.76 186502.40 174162.19 181163.87 176
ADS-MVSNet443.33 162482.84 162324.79 177434.94 189387.73 1881110.57 18987.69 179887.02 190282.92 178779.29 17998.57 180422.76 186502.40 174162.19 181163.87 176
GG-mvs-BLEND596.01 201611.29 201600.33 210790.30 173513.12 256552.71 205567.40 167662.54 260531.67 190503.93 176779.80 238656.02 222
gm-plane-assit611.29 201600.33 210579.21 171567.40 167531.67 190503.93 176
gg-mvs-nofinetune594.69 170605.37 172562.67 198617.29 205500.33 196772.30 172413.12 241579.21 171552.71 205567.40 167662.54 260531.67 190503.93 176779.80 238656.02 222
CR-MVSNet612.36 172617.81 175596.01 201611.29 201600.33 210790.30 173513.12 256579.21 171552.71 205567.40 167662.54 260531.67 190503.93 176779.80 238656.02 222
testing222430.52 160487.50 164259.56 168379.87 183282.69 1791138.34 19181.30 177880.86 189281.58 177834.27 188135.83 187333.22 175514.90 180140.56 174162.76 175
WB-MVSnew404.84 158458.00 160245.36 165374.70 180320.27 1831193.74 19272.90 173773.77 185238.30 172688.22 17790.05 175308.59 173532.76 181157.54 177107.21 167
RPSCF394.81 157445.63 159242.35 164276.55 173253.63 1761207.27 19390.69 181715.56 179241.57 174684.87 176111.96 183320.02 174548.38 182133.81 173153.39 174
tpmvs501.65 167567.42 169304.33 174395.39 184356.32 1851512.04 200216.53 220994.15 193350.16 186804.16 186119.38 184380.98 180555.14 183159.87 179175.69 179
RE-MVS-def610.10 173610.10 199610.10 213610.10 169610.10 265610.10 177610.10 212610.10 173610.10 248610.10 184610.10 221610.10 219
SR-MVS610.10 171610.10 173610.10 203610.10 199610.10 213610.10 169610.10 265610.10 177610.10 212610.10 173610.10 248610.10 206610.10 184610.10 221610.10 219
EG-PatchMatch MVS437.03 161493.12 165268.77 170264.80 172260.20 1781491.80 19998.00 186723.20 181238.80 173722.40 17863.10 168382.00 181629.00 186207.00 190164.10 178
PatchmatchNetpermissive492.52 166551.22 168316.40 175400.20 185357.90 1861277.10 195115.80 1931034.60 200315.90 183874.00 189155.10 190402.20 185629.50 187158.80 178189.10 182
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
DP-MVS Recon516.25 169581.17 170321.48 176361.02 178429.00 1921995.36 20578.48 176796.20 186283.32 180796.02 18396.78 177382.98 182636.72 188186.66 187152.46 173
PMVScopyleft863.65 3957.08 1941054.11 203666.00 209401.00 186495.00 1953790.00 226279.00 2221607.00 221521.00 2031745.00 22190.00 1731105.00 232639.00 189415.00 217398.00 214
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
JIA-IIPM804.30 188835.64 181710.26 212885.90 221895.90 230455.98 167668.73 2701297.17 2051002.26 2341001.67 200655.98 258756.98 213667.90 190885.21 250477.90 216
Patchmtry1090.75 2041198.88 206766.38 2161290.90 236485.90 1942423.98 2161267.30 2881297.17 205923.90 224923.40 1911215.54 281990.23 221667.90 190779.80 238823.02 236
RPMNet787.26 187829.13 180661.63 207885.90 221895.90 230455.98 167610.10 2651297.17 2051002.26 2341001.67 200655.98 258611.10 207667.90 190885.21 250477.90 216
MVP-Stereo473.58 164533.67 166293.33 171376.00 181318.00 1811461.00 19796.00 183835.00 187290.00 181804.00 18497.00 178383.00 183688.00 193156.00 175179.00 180
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 164533.67 166293.33 171376.00 181318.00 1811461.00 19796.00 183835.00 187290.00 181804.00 18497.00 178383.00 183688.00 193156.00 175179.00 180
DELS-MVS514.57 168587.73 171295.12 173343.03 177328.09 1841540.48 201116.22 194988.59 192325.44 184906.22 190119.86 185365.72 179788.60 195161.09 180191.55 183
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
IterMVS615.05 173691.66 176385.23 181516.40 192454.80 1931863.80 203102.10 1901142.20 202364.10 1871093.20 204135.00 186480.40 189826.90 196181.20 184220.50 185
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
FPMVS1407.00 2121495.59 2141141.23 226648.01 214893.85 2294124.00 228503.81 2553219.04 236742.72 2232498.84 232157.98 1911727.83 239832.93 197732.98 237802.00 231
PatchT856.34 191860.99 184842.38 2171290.90 236880.90 228790.30 1731267.30 288579.21 171923.90 224567.40 167662.54 260990.23 221887.56 198779.80 238656.02 222
Gipumacopyleft689.75 176767.00 179458.00 190613.00 204549.00 2081943.00 204187.00 2171230.00 204518.00 2021092.00 203203.00 210564.00 195892.00 199225.00 200261.00 194
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
IB-MVS872.44 4616.41 174700.96 177362.78 179426.10 188409.25 1901822.69 202124.42 2031186.23 203366.85 1881079.42 202190.60 204451.78 188930.72 200181.59 185227.30 186
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
ACMH+729.97 2661.38 175754.00 178383.51 180368.96 179376.38 1872483.74 21882.42 1781089.25 201333.39 1851219.68 20566.53 170573.60 203957.86 201184.14 186200.56 184
SixPastTwentyTwo773.62 179869.37 185486.35 193603.45 196547.15 2072532.14 219106.92 1921434.95 209428.08 1901360.56 208165.15 194628.96 209984.09 202209.01 192282.94 197
ambc999.00 218999.00 226999.00 232999.00 182999.00 281999.00 227999.00 193999.00 273999.00 223999.00 203999.00 257999.00 254
OurMVSNet-221017-0999.00 197999.00 196999.00 218999.00 226999.00 232999.00 182999.00 281999.00 194999.00 227999.00 193999.00 273999.00 223999.00 203999.00 257999.00 254
EPMVS999.00 197999.00 196999.00 218999.00 226999.00 232999.00 182999.00 281999.00 194999.00 227999.00 193999.00 273999.00 223999.00 203999.00 257999.00 254
uanet_test1000.00 1991000.00 1981000.00 2211000.00 2291000.00 2351000.00 1851000.00 2841000.00 1961000.00 2301000.00 1961000.00 2761000.00 2261000.00 2061000.00 2601000.00 257
sosnet1000.00 1991000.00 1981000.00 2211000.00 2291000.00 2351000.00 1851000.00 2841000.00 1961000.00 2301000.00 1961000.00 2761000.00 2261000.00 2061000.00 2601000.00 257
USDC1000.00 1991000.00 1981000.00 2211000.00 2291000.00 2351000.00 1851000.00 2841000.00 1961000.00 2301000.00 1961000.00 2761000.00 2261000.00 2061000.00 2601000.00 257
TinyColmap1000.00 1991000.00 1981000.00 2211000.00 2291000.00 2351000.00 1851000.00 2841000.00 1961000.00 2301000.00 1961000.00 2761000.00 2261000.00 2061000.00 2601000.00 257
new-patchmatchnet766.12 178859.03 183487.38 194595.68 194536.14 1982346.27 208142.51 2081488.08 210422.43 1891361.32 209163.65 193628.60 2081003.74 210207.61 191297.41 200
IterMVS-LS758.94 177856.56 182466.10 191606.60 197546.80 2062309.90 207122.20 2021402.80 208463.50 1921348.20 207192.60 205574.60 2041028.60 211234.60 202276.90 196
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
lessismore_v0569.20 199667.25 215644.68 21696.45 185428.86 1911514.17 218204.21 211756.58 2121061.60 212197.79 189306.34 201
mvs_anonymous774.90 180882.28 186452.77 183636.50 206537.20 1992348.80 209120.30 1951504.30 211474.40 1931371.10 210186.90 196564.70 1961078.90 213219.30 193256.40 187
casdiffmvspermissive774.90 180882.28 186452.77 183636.50 206537.20 1992348.80 209120.30 1951504.30 211474.40 1931371.10 210186.90 196564.70 1961078.90 213219.30 193256.40 187
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 180882.28 186452.77 183636.50 206537.20 1992348.80 209120.30 1951504.30 211474.40 1931371.10 210186.90 196564.70 1961078.90 213219.30 193256.40 187
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 180882.28 186452.77 183636.50 206537.20 1992348.80 209120.30 1951504.30 211474.40 1931371.10 210186.90 196564.70 1961078.90 213219.30 193256.40 187
baseline1774.90 180882.28 186452.77 183636.50 206537.20 1992348.80 209120.30 1951504.30 211474.40 1931371.10 210186.90 196564.70 1961078.90 213219.30 193256.40 187
casdiffmvs_mvgpermissive774.90 180882.28 186452.77 183636.50 206537.20 1992348.80 209120.30 1951504.30 211474.40 1931371.10 210186.90 196564.70 1961078.90 213219.30 193256.40 187
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 180882.28 186452.77 183636.50 206537.20 1992348.80 209120.30 1951504.30 211474.40 1931371.10 210186.90 196564.70 1961078.90 213219.30 193256.40 187
K. test v3877.74 192980.16 195570.46 2001316.85 238813.15 2252565.52 220103.78 1911509.49 218548.33 2041258.90 206219.93 215587.82 2051102.37 220196.30 188310.42 202
PVSNet1207.94 6829.56 190937.18 193506.69 195645.55 213585.72 2092477.98 217130.52 2041578.29 219509.50 2011460.01 217194.90 206637.19 2101170.78 221267.07 206297.17 199
MVSTER890.06 1931005.91 202542.52 196736.13 218653.90 2172616.56 221145.22 2101692.10 222555.69 2081554.72 219266.25 217660.02 2111219.66 222266.84 205313.64 203
PVSNet_01661.03 9968.54 1961066.82 204673.70 210706.94 216695.69 2182669.02 222153.52 2122108.17 228605.54 2101679.14 220213.26 214886.75 2181236.76 223229.01 201438.67 215
ACMH993.80 5967.92 1951106.11 205553.33 197494.00 191534.00 1973581.00 224136.00 2051585.00 220478.00 2001871.00 22390.00 173839.00 2151460.00 224260.00 203287.00 198
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ACMM1311.08 81165.06 2071332.72 210662.07 208584.90 193715.99 2204373.59 231153.99 2131880.27 225709.02 2192316.97 227188.63 203939.89 2201484.30 225302.78 211330.34 204
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
ACMP1246.57 71086.24 2031235.17 207639.45 204596.53 195639.91 2153904.24 227152.04 2111851.54 224566.58 2091997.95 225138.50 188938.30 2191605.46 226303.70 212340.14 205
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
test_04021110.00 2051260.00 208660.00 206900.00 224780.00 2243300.00 223210.00 2192040.00 227690.00 2171950.00 224300.00 221810.00 2141620.00 227330.00 213390.00 213
MG-MVS1256.50 2091432.00 212730.00 213610.00 198760.00 2224720.00 232169.00 2141920.00 226723.00 2212510.00 233201.00 2081050.00 2301645.00 228390.00 216380.00 211
MVS_111021_LR1136.45 2061298.72 209649.64 205756.17 219726.26 2213785.94 225138.15 2072190.64 229629.63 2152064.39 226165.45 195874.83 2171678.43 229279.70 207347.82 208
CSCG826.03 189963.29 194414.24 182421.52 187426.11 1912230.35 206179.52 2161827.44 223733.43 222933.12 192281.25 218545.23 1941800.35 230262.64 204271.38 195
TSAR-MVS + GP.1386.84 2111622.84 215678.81 211952.13 225840.17 2275358.21 235170.75 2152650.47 234713.54 2202394.28 231209.42 213855.56 2161854.36 231302.42 210340.71 206
ACMMPR1296.60 2101480.82 213743.96 215899.25 223763.47 2234305.47 230143.90 2092530.94 233683.99 2162346.34 229201.65 2091098.25 2311920.59 232295.21 208370.16 209
MSLP-MVS++1242.93 2081411.08 211738.48 214712.71 217712.68 2194168.17 229136.50 2062276.40 230613.28 2142368.60 230161.61 1921130.38 2331964.54 233297.88 209372.39 210
DeepC-MVS_fast2190.19 121535.59 2131886.82 217481.89 192847.73 220830.16 2267943.84 251189.23 2182398.83 231691.73 2182341.13 228209.16 212230.25 1691999.25 234360.46 214385.25 212
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ZD-MVS1584.00 2411821.00 265378.00 2343721.00 2401231.00 2411833.00 222321.00 2241224.00 2342103.00 235692.00 231
COLMAP_ROBcopyleft2144.59 111658.33 2141869.33 2161025.33 2251030.00 2331023.00 2395311.00 234359.00 2313044.00 235937.00 2262892.00 234332.00 2251440.00 2362312.00 236607.00 220613.00 221
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
CMPMVSbinary2623.62 151983.08 2172156.14 2191463.89 2391414.80 2401517.00 2455239.20 233867.40 2753310.30 2371128.70 2383489.90 237366.75 2302030.20 2502427.60 2371160.60 269844.46 239
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
F-COLMAP1878.17 2152113.11 2181173.33 2291231.00 2341174.00 2406297.00 237392.00 2363356.00 2381087.00 2363082.00 235361.00 2291670.00 2382523.00 238689.00 227676.00 226
OpenMVS_ROBcopyleft1936.51 101959.51 2162224.88 2201163.39 2281253.91 2351434.22 2437065.71 241272.76 2212472.29 2321647.54 2663538.72 238200.37 2071496.48 2372575.17 239997.45 256559.48 218
EGC-MVSNET2819.75 2313096.89 2341988.33 2533105.00 2822241.00 2739480.00 262640.00 2694209.00 2441583.00 2594740.00 250547.00 2452797.00 2662644.00 240924.00 253927.00 247
PCF-MVS4335.85 202272.23 2212597.03 2241297.84 2301701.20 2431332.37 2418105.11 252451.45 2444031.84 2431099.10 2373966.50 242467.45 2371734.05 2402701.68 241848.94 247827.11 237
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
PLCcopyleft2858.82 162192.92 2192474.00 2221349.67 2311407.00 2391356.00 2427164.00 242475.00 2483970.00 2421237.00 2433765.00 241451.00 2361891.00 2443006.00 242791.00 243802.00 231
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
MVS-HIRNet2125.39 2182452.68 2211143.53 2272938.33 2811446.92 2446083.19 236391.74 2353801.71 2411202.10 2403439.72 236492.73 2391304.35 2353048.25 243676.32 226679.32 227
OpenMVScopyleft2352.88 132263.08 2202530.89 2231459.67 2381767.00 2511591.00 2487932.00 250399.00 2373643.00 2391176.00 2393569.00 239297.00 2201927.00 2463302.00 244693.00 232861.00 240
CHOSEN 280x4202340.81 2222643.03 2251434.14 2322025.55 2601629.36 2526542.40 238412.49 2384219.70 2451547.02 2544328.52 244650.74 2551798.26 2413333.17 245727.72 234874.79 241
CHOSEN 1792x26882340.81 2222643.03 2251434.14 2322025.55 2601629.36 2526542.40 238412.49 2384219.70 2451547.02 2544328.52 244650.74 2551798.26 2413333.17 245727.72 234874.79 241
HyFIR lowres test2340.81 2222643.03 2251434.14 2322025.55 2601629.36 2526542.40 238412.49 2384219.70 2451547.02 2544328.52 244650.74 2551798.26 2413333.17 245727.72 234874.79 241
DeepPCF-MVS3452.42 182670.71 2293021.57 2311618.12 2412377.67 2671751.39 2618915.70 257567.44 2634569.74 2501236.84 2424615.63 248513.23 2402291.32 2523515.48 248882.39 249811.66 233
LS3D7684.71 2548776.23 2574410.16 2715298.55 2875631.53 29034329.90 2881504.57 29011554.00 2923896.41 28415111.00 289812.19 2655985.63 2853516.20 2492963.23 2841613.31 270
DeepC-MVS3917.13 193155.06 2353601.83 2381814.72 2492515.52 2701941.53 26610432.50 272589.42 2644789.45 2511298.65 2457677.31 273578.35 2472589.53 2583611.78 250923.52 252913.10 245
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
3Dnovator2482.06 142531.17 2252839.56 2281606.00 2401732.00 2471557.00 2478375.00 254483.00 2494370.00 2481371.00 2494200.00 243350.00 2272207.00 2513877.00 251798.00 2441054.00 261
test_0728_THIRD5016.02 2541363.85 2464894.28 252387.23 2312023.43 2473973.88 252620.04 223732.56 228
test_0728_SECOND1451.45 2361725.60 2441598.35 2499203.30 258315.86 2252023.43 2473973.88 252620.04 223732.56 228
SD-MVS2654.53 2283055.56 2331451.45 2361725.60 2441598.35 2499203.30 258315.86 2255016.02 2541363.85 2464894.28 252387.23 2312023.43 2473973.88 252620.04 223732.56 228
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
tpmrst2557.50 2262847.12 2291688.66 2431784.08 2521778.25 2627445.50 248342.14 2284471.54 2491534.55 2534382.10 247530.10 2432361.21 2544142.81 255991.22 255926.51 246
AdaColmapbinary2570.77 2272948.61 2301437.24 2351873.64 2531526.60 2467819.77 249373.97 2324970.45 2521479.29 2514648.46 249525.80 2421904.97 2454150.42 256695.69 233880.14 244
LF4IMVS2699.50 2303049.67 2321649.00 2421755.00 2481689.00 2568330.00 253464.00 2464997.00 2531528.00 2524763.00 251568.00 2462296.00 2534215.00 257827.00 246962.00 251
Vis-MVSNetpermissive2877.42 2323170.00 2351999.67 2541673.00 2422042.00 2718593.00 255474.00 2476452.00 2671268.00 2445125.00 255339.00 2263004.00 2684222.00 258384.00 215953.00 250
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2891.50 2333284.78 2361711.67 2441954.00 2541655.00 25510117.00 271445.00 2435102.00 2571375.00 2505126.00 256351.00 2282638.00 2644402.00 259691.00 230842.00 238
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 2343537.00 2371975.67 2512310.00 2652005.00 27010100.00 270626.00 2685753.00 2581803.00 2695179.00 257487.00 2382622.00 2624550.00 2601025.00 2641300.00 268
ITE_SJBPF2014.00 2551998.00 2551992.00 269701.00 2715989.00 2591812.00 2703612.00 240650.00 2542852.00 2674601.00 2611195.00 2701198.00 267
MVS_111021_HR3742.80 2444330.34 2471980.20 2522484.31 2692259.52 27414973.80 281515.90 2626500.13 2681949.21 2716146.89 260535.66 2442593.66 2594880.76 262986.37 2541087.43 262
DPM-MVS3268.00 2363762.89 2391783.33 2471756.00 2491806.00 26312319.00 274307.00 2236319.00 2651557.00 2575763.00 258302.00 2222609.00 2605061.00 263482.00 218935.00 248
OPM-MVS3268.00 2363762.89 2391783.33 2471756.00 2491806.00 26312319.00 274307.00 2236319.00 2651557.00 2575763.00 258302.00 2222609.00 2605061.00 263482.00 218935.00 248
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TSAR-MVS + MP.3528.01 2394065.89 2461914.35 2502349.10 2662141.30 27212362.70 276417.60 2426717.80 2711759.40 2686497.50 261518.18 2412629.38 2635164.32 265806.40 245972.38 253
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
DVP-MVS++3981.10 2464731.32 2511730.42 2452191.51 2631949.98 26716473.90 283355.33 2297172.90 2761622.98 2647879.79 274434.33 2342428.11 2565762.12 266689.04 228813.18 234
DVP-MVScopyleft3981.10 2464731.32 2511730.42 2452191.51 2631949.98 26716473.90 283355.33 2297172.90 2761622.98 2647879.79 274434.33 2342428.11 2565762.12 266689.04 228813.18 234
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
MAR-MVS3973.16 2454387.92 2482728.86 2673345.27 2833341.39 28811403.90 273798.76 2736555.62 2702569.29 2816514.86 262834.97 2673237.43 2775891.08 2681577.54 2761607.76 269
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
IU-MVS2725.60 2772598.35 282515.86 2587016.02 2722363.85 2765973.88 2691620.04 2771732.56 273
OPU-MVS2451.45 2652725.60 2772598.35 2829203.30 2586894.28 264887.23 2683023.43 2695973.88 2691620.04 2771732.56 273
test_241102_TWO515.86 2587016.02 2722363.85 2766894.28 264887.23 2683023.43 2695973.88 2691620.04 2771732.56 273
MSP-MVS4296.20 2504911.12 2542451.45 2652725.60 2772598.35 28216203.30 282515.86 2587016.02 2722363.85 2766894.28 264887.23 2683023.43 2695973.88 2691620.04 2771732.56 273
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
MSC_two_6792asdad2237.56 2572643.17 2722465.14 276493.26 2503088.29 2736075.14 2731078.39 2651159.26 263
PC_three_14527619.38 2792107.24 2727416.93 270610.24 2503088.29 2736075.14 2731078.39 2651159.26 263
No_MVS2237.56 2572643.17 2722465.14 276493.26 2503088.29 2736075.14 2731078.39 2651159.26 263
SED-MVS4062.74 2494671.13 2502237.56 2572643.17 2722465.14 27613996.40 278493.26 2507619.38 2792107.24 2727416.93 270610.24 2503088.29 2736075.14 2731078.39 2651159.26 263
TAPA-MVS6309.84 213374.90 2383806.99 2412078.63 2562535.47 2712499.25 2818816.16 256456.05 2456255.60 2641664.52 2676704.88 263629.95 2532768.38 2656343.93 277856.35 248968.25 252
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
API-MVS4380.83 2514906.56 2532803.67 2683844.00 2843116.00 28713454.00 277901.00 2806511.00 2692794.00 2827365.00 269754.00 2643634.00 2786622.00 2781914.00 2821661.00 272
GST-MVS4000.00 2484533.33 2492400.00 2602400.00 2682400.00 2757200.00 2432400.00 2927200.00 2782400.00 2807200.00 2682400.00 2862400.00 2557200.00 2792400.00 2832400.00 282
MVEpermissive10021.00 2210550.67 26210002.44 26512195.33 2806242.00 2888768.00 29230896.00 2874451.00 29310331.00 2916247.00 28618296.00 290283.00 21921484.00 2947364.00 2805912.00 2866334.00 284
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
tpm23617.85 2404007.23 2422449.73 2612012.71 2561698.05 2577351.19 244869.29 2766132.06 2601588.28 2608007.42 2761281.09 2823888.11 2807472.04 2811351.00 2711763.02 277
tpm cat13617.85 2404007.23 2422449.73 2612012.71 2561698.05 2577351.19 244869.29 2766132.06 2601588.28 2608007.42 2761281.09 2823888.11 2807472.04 2811351.00 2711763.02 277
CostFormer3617.85 2404007.23 2422449.73 2612012.71 2561698.05 2577351.19 244869.29 2766132.06 2601588.28 2608007.42 2761281.09 2823888.11 2807472.04 2811351.00 2711763.02 277
tpm3617.85 2404007.23 2422449.73 2612012.71 2561698.05 2577351.19 244869.29 2766132.06 2601588.28 2608007.42 2761281.09 2823888.11 2807472.04 2811351.00 2711763.02 277
OMC-MVS5022.26 2525748.82 2552842.58 2694905.27 2863101.27 28614933.60 280812.24 2749278.40 2832959.29 2838800.17 2801092.24 2803806.30 2797568.54 2851389.60 2751620.18 271
ZNCC-MVS9999.00 2559999.00 2589999.00 2739999.00 2909999.00 2939999.00 2639999.00 2969999.00 2849999.00 2889999.00 2819999.00 2899999.00 2869999.00 2869999.00 2879999.00 285
patch_mono-210000.00 25610000.00 25910000.00 27410000.00 29110000.00 29410000.00 26410000.00 29710000.00 28510000.00 28910000.00 28210000.00 29010000.00 28710000.00 28710000.00 28810000.00 286
dcpmvs_210000.00 25610000.00 25910000.00 27410000.00 29110000.00 29410000.00 26410000.00 29710000.00 28510000.00 28910000.00 28210000.00 29010000.00 28710000.00 28710000.00 28810000.00 286
DCPMVS10000.00 25610000.00 25910000.00 27410000.00 29110000.00 29410000.00 26410000.00 29710000.00 28510000.00 28910000.00 28210000.00 29010000.00 28710000.00 28710000.00 28810000.00 286
UA-Net10000.00 25610000.00 25910000.00 27410000.00 29110000.00 29410000.00 26410000.00 29710000.00 28510000.00 28910000.00 28210000.00 29010000.00 28710000.00 28710000.00 28810000.00 286
uncertanet10000.00 25610000.00 25910000.00 27410000.00 29110000.00 29410000.00 26410000.00 29710000.00 28510000.00 28910000.00 28210000.00 29010000.00 28710000.00 28710000.00 28810000.00 286
uanet10000.00 25610000.00 25910000.00 27410000.00 29110000.00 29410000.00 26410000.00 29710000.00 28510000.00 28910000.00 28210000.00 29010000.00 28710000.00 28710000.00 28810000.00 286
CNLPA10738.67 26311772.44 2667637.33 2729120.00 2898206.00 29122252.00 2852010.00 29124984.00 2947458.00 28722596.00 2912940.00 28710260.00 29311100.00 2933492.00 2854446.00 283
CLD-MVS7338.25 2538341.00 2564330.00 2704902.00 2854991.00 28923318.00 286728.00 27214437.00 2934378.00 28513379.00 288824.00 2665708.00 28411429.00 2941674.00 2812291.00 281
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LTVRE_ROB20565.47 2323378.08 26422805.00 26725097.33 28115500.00 29719201.00 30042712.00 2896055.00 29438388.00 29516926.00 29538534.00 2927071.00 28835653.00 29529475.00 29510584.00 29420438.00 293
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 26534443.44 26827094.33 28229249.00 29825246.00 30151144.00 2906705.00 29542886.00 29622888.00 29648534.00 29313263.00 29637507.00 29679298.00 29616024.00 29518530.00 292
114514_t99999.00 26699999.00 26999999.00 28399999.00 29999999.00 30299999.00 29199999.00 30399999.00 29799999.00 29799999.00 29499999.00 29799999.00 29799999.00 29799999.00 29699999.00 294
PHI-MVS99999.00 26699999.00 26999999.00 28399999.00 29999999.00 30299999.00 29199999.00 30399999.00 29799999.00 29799999.00 29499999.00 29799999.00 29799999.00 29799999.00 29699999.00 294
XVG-OURS-SEG-HR999999.00 270999999.00 271999999.00 285999999.00 301999999.00 304999999.00 293999999.00 305999999.00 299999999.00 299999999.00 296999999.00 299999999.00 299999999.00 299999999.00 298999999.00 296
XVG-OURS999999.00 270999999.00 271999999.00 285999999.00 301999999.00 304999999.00 293999999.00 305999999.00 299999999.00 299999999.00 296999999.00 299999999.00 299999999.00 299999999.00 298999999.00 296
XVG-ACMP-BASELINE999999.00 270999999.00 271999999.00 285999999.00 301999999.00 304999999.00 293999999.00 305999999.00 299999999.00 299999999.00 296999999.00 299999999.00 299999999.00 299999999.00 298999999.00 296
dmvs_re10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
SDMVSNet10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
dmvs_testset10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
sd_testset10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
iter_conf_final10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
bld_raw_dy_0_6410000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
test250610000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
test111110000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
ECVR-MVScopyleft10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
test_blank10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
tt080510000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
Anonymous2024052110000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
cl2210000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
miper_ehance_all_eth10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
miper_enhance_ethall10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
cl____10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
DIV-MVS_self_test10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
eth_miper_zixun_eth10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
ET-MVSNet_ETH3D10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
UniMVSNet_ETH3D10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
miper_lstm_enhance10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
D2MVS10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
test_yl10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
thisisatest053010000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
Anonymous2024052910000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
Anonymous20240521110000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
DCV-MVSNet10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
tttt051710000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
our_test_310000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
thisisatest051510000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
ppachtmachnet_test10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
SMA-MVScopyleft10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
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 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
tfpnnormal10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
tfpn200view910000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
c3_l10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
MP-MVS-pluss833433.63 2681111219.60 27475.70 14574.28 14873.29 152284.50 15011.35 145238.58 15465.86 150255.35 16214.55 143115.69 16410000000.00 30231.94 14338.12 149
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
IterMVS-SCA-FT10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
pmmvs610000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
pmmvs510000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
test_post110000000.00 29610000000.00 29910000000.00 30210000000.00 30210000000.00 302
Anonymous2023121110000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
pmmvs-eth3d10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
Anonymous2023120610000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
SCA10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
Patchmatch-test10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
Patchmatch-RL test10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
canonicalmvs10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
anonymousdsp10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
FIs10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
FC-MVSNet-test10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
sosnet-low-res10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
AllTest10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
TestCases10000000.00 28810000000.00 30410000000.00 30710000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
iter_conf0510000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
RRT_MVS10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
HPM-MVS++copyleft10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
XVS10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
pm-mvs110000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
X-MVStestdata10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
APDe-MVScopyleft10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
pmmvs410000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
test-LLR10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
TESTMET0.1,110000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
test-mter10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
testgi10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
test20.0310000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
thres600view710000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
MP-MVScopyleft10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
thres40010000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
test12310000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
thres20010000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
test0.0.03 110000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
pmmvs310000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
EMVS10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
E-PMN10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
PGM-MVS10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
MCST-MVS10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
MVS_Test10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
PMMVS210000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
PM-MVS10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
HQP_MVS10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
plane_prior510000000.00 30810000000.00 30210000000.00 30210000000.00 30110000000.00 299
mPP-MVS10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
mvsmamba10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
HPM-MVS_fast10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
HPM-MVScopyleft10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
LGP-MVS_train10000000.00 28810000000.00 30410000000.00 30710000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
EPNet_dtu10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
BP-MVS10000000.00 302
CNVR-MVS10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
NCCC10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
CP-MVS10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
CPTT-MVS10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
HQP-MVS10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
IS-MVSNet10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
PAPM_NR10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
PAPR10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
Vis-MVSNet (Re-imp)10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
PatchMatch-RL10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
TDRefinement10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
EPP-MVSNet10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
PMMVS10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
PAPM10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
ACMMPcopyleft10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
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 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
wuyk23d10000000.00 27310000000.00 27610000000.00 28810000000.00 30410000000.00 30710000000.00 29610000000.00 30810000000.00 30210000000.00 30210000000.00 29910000000.00 30210000000.00 30210000000.00 30210000000.00 30110000000.00 299
APD-MVScopyleft1000000000.00 3791000000000.00 3821000000000.00 3961000000000.00 4201000000000.00 4211000000000.00 4071000000000.00 4211000000000.00 4141000000000.00 4151000000000.00 4121000000000.00 4171000000000.00 4151000000000.00 4141000000000.00 4131000000000.00 411
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
FOURS12643.17 2722465.14 27613996.40 278493.26 2507619.38 2792107.24 272
test_one_06012643.17 2722465.14 276493.26 2507619.38 2792107.24 2727416.93 270610.24 250
eth-test21.42 83
eth-test10000000.00 304
test_241102_ONE2725.60 2772598.35 282515.86 2587016.02 2722363.85 2766894.28 264887.23 2683023.43 269
save fliter0.00 10.00 10.00 10.00 10.00 1
test07261725.60 2441598.35 2499203.30 258315.86 2255016.02 2541363.85 2464894.28 252387.23 231
GSMVS10000000.00 299
test_part210000000.00 30410000000.00 30710000000.00 302
sam_mvs110000000.00 30210000000.00 299
sam_mvs10000000.00 302
MTGPAbinary10000000.00 308
test_post10000000.00 29910000000.00 30210000000.00 302
patchmatchnet-post10000000.00 29910000000.00 30210000000.00 302
MTMP10000000.00 29610000000.00 308
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
agg_prior0.00 10.00 10.00 10.00 10.00 1
test_prior40.00 10.00 1
test_prior0.00 10.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
旧先验10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM20.00 1
test2220.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 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 30410000000.00 307
plane_prior610000000.00 30410000000.00 30710000000.00 302
plane_prior410000000.00 299
plane_prior310000000.00 30710000000.00 30210000000.00 302
plane_prior210000000.00 29610000000.00 302
plane_prior110000000.00 304
plane_prior1.00 782.00 1062.00 1072.00 105
n214.20 148
nn1.42 86
door-mid1.42 86
test111.00 79
door99.00 189
HQP5-MVS10000000.00 307
HQP-NCC10000000.00 30410000000.00 29610000000.00 30210000000.00 302
ACMP_Plane10000000.00 30410000000.00 29610000000.00 30210000000.00 302
HQP4-MVS10000000.00 30210000000.00 30210000000.00 299
HQP3-MVS10000000.00 30810000000.00 301
HQP2-MVS10000000.00 302
NP-MVS10000000.00 30410000000.00 30710000000.00 299
ACMMP++_ref10000000.00 301
ACMMP++10000000.00 301
Test By Simon990.00 272