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 bysorted bysort bysort bysort bysort bysort bysort bysort 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
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
train_agg0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
HFP-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
region2R0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
13140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
QAPM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
h-mvs330.30 350.30 360.30 410.30 470.30 480.30 480.30 490.30 480.30 470.30 450.30 470.30 480.30 460.30 460.30 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
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
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+-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
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
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
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
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
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
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
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_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
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
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
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
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
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
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
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
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
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
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
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 174438.24 168176.64 168435.12 16565.04 169230.52 170334.02 167117.96 17298.64 166
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 166115.87 167
SSC-MVS320.23 153364.09 155188.66 161260.78 171193.84 170975.93 18173.11 173596.72 175185.29 169589.02 17274.47 171246.01 171427.42 17194.06 167126.12 168
tmp_tt371.08 155412.78 156246.00 165231.00 168197.00 1711293.00 194376.00 231756.00 184609.00 20971.00 142106.00 181195.00 167102.00 148171.00 181346.00 205
Syy-MVS370.76 154415.60 157236.25 163310.54 174210.76 173965.13 17998.58 185746.06 182266.26 174788.85 18091.37 175364.76 175357.17 168116.42 170133.22 169
myMVS_eth3d390.90 156437.44 158251.28 166310.54 174255.86 177965.13 17998.58 185746.06 182266.26 174788.85 180154.95 187364.76 175490.19 173116.42 170133.22 169
RPSCF394.81 157445.63 159242.35 164276.55 173253.63 1761207.27 19190.69 179715.56 179241.57 173684.87 176111.96 182320.02 173548.38 180133.81 173153.39 173
testing3418.10 158469.06 160265.23 167335.69 176290.63 1791240.88 19293.72 180717.99 180215.31 171811.97 186232.41 214358.74 174458.67 172114.88 169146.32 171
ADS-MVSNet2443.33 160482.84 161324.79 175434.94 187387.73 1861110.57 18987.69 177887.02 188282.92 176779.29 17898.57 179422.76 184502.40 174162.19 179163.87 174
ADS-MVSNet443.33 160482.84 161324.79 175434.94 187387.73 1861110.57 18987.69 177887.02 188282.92 176779.29 17898.57 179422.76 184502.40 174162.19 179163.87 174
EG-PatchMatch MVS437.03 159493.12 163268.77 168264.80 172260.20 1781491.80 19798.00 184723.20 181238.80 172722.40 17763.10 168382.00 179629.00 184207.00 188164.10 176
MVP-Stereo473.58 162533.67 164293.33 169376.00 180318.00 1801461.00 19596.00 181835.00 186290.00 179804.00 18397.00 177383.00 181688.00 191156.00 174179.00 178
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 162533.67 164293.33 169376.00 180318.00 1801461.00 19596.00 181835.00 186290.00 179804.00 18397.00 177383.00 181688.00 191156.00 174179.00 178
PatchmatchNetpermissive492.52 164551.22 166316.40 173400.20 183357.90 1841277.10 193115.80 1911034.60 198315.90 181874.00 187155.10 188402.20 183629.50 185158.80 176189.10 180
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmvs501.65 165567.42 167304.33 172395.39 182356.32 1831512.04 198216.53 218994.15 191350.16 184804.16 185119.38 183380.98 178555.14 181159.87 177175.69 177
DP-MVS Recon516.25 167581.17 168321.48 174361.02 178429.00 1901995.36 20378.48 175796.20 185283.32 178796.02 18296.78 176382.98 180636.72 186186.66 185152.46 172
DELS-MVS514.57 166587.73 169295.12 171343.03 177328.09 1821540.48 199116.22 192988.59 190325.44 182906.22 188119.86 184365.72 177788.60 193161.09 178191.55 181
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
gg-mvs-nofinetune594.69 168605.37 170562.67 196617.29 203500.33 194772.30 172413.12 239579.21 171552.71 203567.40 167662.54 258531.67 188503.93 176779.80 236656.02 220
RE-MVS-def610.10 171610.10 197610.10 211610.10 169610.10 263610.10 177610.10 210610.10 173610.10 246610.10 182610.10 219610.10 217
SR-MVS610.10 169610.10 171610.10 201610.10 197610.10 211610.10 169610.10 263610.10 177610.10 210610.10 173610.10 246610.10 204610.10 182610.10 219610.10 217
CR-MVSNet612.36 170617.81 173596.01 199611.29 199600.33 208790.30 173513.12 254579.21 171552.71 203567.40 167662.54 258531.67 188503.93 176779.80 236656.02 220
IterMVS615.05 171691.66 174385.23 179516.40 190454.80 1911863.80 201102.10 1881142.20 200364.10 1851093.20 202135.00 185480.40 187826.90 194181.20 182220.50 183
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 172700.96 175362.78 177426.10 186409.25 1881822.69 200124.42 2011186.23 201366.85 1861079.42 200190.60 202451.78 186930.72 198181.59 183227.30 184
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 173754.00 176383.51 178368.96 179376.38 1852483.74 21682.42 1761089.25 199333.39 1831219.68 20366.53 170573.60 201957.86 199184.14 184200.56 182
Gipumacopyleft689.75 174767.00 177458.00 188613.00 202549.00 2061943.00 202187.00 2151230.00 202518.00 2001092.00 201203.00 208564.00 193892.00 197225.00 198261.00 192
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
RPMNet787.26 185829.13 178661.63 205885.90 219895.90 228455.98 167610.10 2631297.17 2031002.26 2321001.67 198655.98 256611.10 205667.90 188885.21 248477.90 214
JIA-IIPM804.30 186835.64 179710.26 210885.90 219895.90 228455.98 167668.73 2681297.17 2031002.26 2321001.67 198655.98 256756.98 211667.90 188885.21 248477.90 214
IterMVS-LS758.94 175856.56 180466.10 189606.60 195546.80 2042309.90 205122.20 2001402.80 206463.50 1901348.20 205192.60 203574.60 2021028.60 209234.60 200276.90 194
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
new-patchmatchnet766.12 176859.03 181487.38 192595.68 192536.14 1962346.27 206142.51 2061488.08 208422.43 1871361.32 207163.65 191628.60 2061003.74 208207.61 189297.41 198
PatchT856.34 189860.99 182842.38 2151290.90 234880.90 226790.30 1731267.30 286579.21 171923.90 222567.40 167662.54 258990.23 219887.56 196779.80 236656.02 220
SixPastTwentyTwo773.62 177869.37 183486.35 191603.45 194547.15 2052532.14 217106.92 1901434.95 207428.08 1881360.56 206165.15 192628.96 207984.09 200209.01 190282.94 195
mvs_anonymous774.90 178882.28 184452.77 181636.50 204537.20 1972348.80 207120.30 1931504.30 209474.40 1911371.10 208186.90 194564.70 1941078.90 211219.30 191256.40 185
casdiffmvspermissive774.90 178882.28 184452.77 181636.50 204537.20 1972348.80 207120.30 1931504.30 209474.40 1911371.10 208186.90 194564.70 1941078.90 211219.30 191256.40 185
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 178882.28 184452.77 181636.50 204537.20 1972348.80 207120.30 1931504.30 209474.40 1911371.10 208186.90 194564.70 1941078.90 211219.30 191256.40 185
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 178882.28 184452.77 181636.50 204537.20 1972348.80 207120.30 1931504.30 209474.40 1911371.10 208186.90 194564.70 1941078.90 211219.30 191256.40 185
baseline1774.90 178882.28 184452.77 181636.50 204537.20 1972348.80 207120.30 1931504.30 209474.40 1911371.10 208186.90 194564.70 1941078.90 211219.30 191256.40 185
casdiffmvs_mvgpermissive774.90 178882.28 184452.77 181636.50 204537.20 1972348.80 207120.30 1931504.30 209474.40 1911371.10 208186.90 194564.70 1941078.90 211219.30 191256.40 185
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 178882.28 184452.77 181636.50 204537.20 1972348.80 207120.30 1931504.30 209474.40 1911371.10 208186.90 194564.70 1941078.90 211219.30 191256.40 185
PVSNet1207.94 6829.56 188937.18 191506.69 193645.55 211585.72 2072477.98 215130.52 2021578.29 217509.50 1991460.01 215194.90 204637.19 2081170.78 219267.07 204297.17 197
CSCG826.03 187963.29 192414.24 180421.52 185426.11 1892230.35 204179.52 2141827.44 221733.43 220933.12 190281.25 216545.23 1921800.35 228262.64 202271.38 193
K. test v3877.74 190980.16 193570.46 1981316.85 236813.15 2232565.52 218103.78 1891509.49 216548.33 2021258.90 204219.93 213587.82 2031102.37 218196.30 186310.42 200
OurMVSNet-221017-0999.00 195999.00 194999.00 216999.00 224999.00 230999.00 182999.00 279999.00 192999.00 225999.00 191999.00 271999.00 221999.00 201999.00 255999.00 252
EPMVS999.00 195999.00 194999.00 216999.00 224999.00 230999.00 182999.00 279999.00 192999.00 225999.00 191999.00 271999.00 221999.00 201999.00 255999.00 252
uanet_test1000.00 1971000.00 1961000.00 2191000.00 2271000.00 2331000.00 1851000.00 2821000.00 1941000.00 2281000.00 1941000.00 2741000.00 2241000.00 2041000.00 2581000.00 255
sosnet1000.00 1971000.00 1961000.00 2191000.00 2271000.00 2331000.00 1851000.00 2821000.00 1941000.00 2281000.00 1941000.00 2741000.00 2241000.00 2041000.00 2581000.00 255
USDC1000.00 1971000.00 1961000.00 2191000.00 2271000.00 2331000.00 1851000.00 2821000.00 1941000.00 2281000.00 1941000.00 2741000.00 2241000.00 2041000.00 2581000.00 255
TinyColmap1000.00 1971000.00 1961000.00 2191000.00 2271000.00 2331000.00 1851000.00 2821000.00 1941000.00 2281000.00 1941000.00 2741000.00 2241000.00 2041000.00 2581000.00 255
MVSTER890.06 1911005.91 200542.52 194736.13 216653.90 2152616.56 219145.22 2081692.10 220555.69 2061554.72 217266.25 215660.02 2091219.66 220266.84 203313.64 201
PMVScopyleft863.65 3957.08 1921054.11 201666.00 207401.00 184495.00 1933790.00 224279.00 2201607.00 219521.00 2011745.00 21990.00 1731105.00 230639.00 187415.00 215398.00 212
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
PVSNet_01661.03 9968.54 1941066.82 202673.70 208706.94 214695.69 2162669.02 220153.52 2102108.17 226605.54 2081679.14 218213.26 212886.75 2161236.76 221229.01 199438.67 213
ACMH993.80 5967.92 1931106.11 203553.33 195494.00 189534.00 1953581.00 222136.00 2031585.00 218478.00 1981871.00 22190.00 173839.00 2131460.00 222260.00 201287.00 196
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
Patchmtry1090.75 2021198.88 204766.38 2141290.90 234485.90 1922423.98 2141267.30 2861297.17 203923.90 222923.40 1891215.54 279990.23 219667.90 188779.80 236823.02 234
ACMP1246.57 71086.24 2011235.17 205639.45 202596.53 193639.91 2133904.24 225152.04 2091851.54 222566.58 2071997.95 223138.50 186938.30 2171605.46 224303.70 210340.14 203
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
test_04021110.00 2031260.00 206660.00 204900.00 222780.00 2223300.00 221210.00 2172040.00 225690.00 2151950.00 222300.00 219810.00 2121620.00 225330.00 211390.00 211
MVS_111021_LR1136.45 2041298.72 207649.64 203756.17 217726.26 2193785.94 223138.15 2052190.64 227629.63 2132064.39 224165.45 193874.83 2151678.43 227279.70 205347.82 206
ACMM1311.08 81165.06 2051332.72 208662.07 206584.90 191715.99 2184373.59 229153.99 2111880.27 223709.02 2172316.97 225188.63 201939.89 2181484.30 223302.78 209330.34 202
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++1242.93 2061411.08 209738.48 212712.71 215712.68 2174168.17 227136.50 2042276.40 228613.28 2122368.60 228161.61 1901130.38 2311964.54 231297.88 207372.39 208
MG-MVS1256.50 2071432.00 210730.00 211610.00 196760.00 2204720.00 230169.00 2121920.00 224723.00 2192510.00 231201.00 2061050.00 2281645.00 226390.00 214380.00 209
ACMMPR1296.60 2081480.82 211743.96 213899.25 221763.47 2214305.47 228143.90 2072530.94 231683.99 2142346.34 227201.65 2071098.25 2291920.59 230295.21 206370.16 207
FPMVS1407.00 2101495.59 2121141.23 224648.01 212893.85 2274124.00 226503.81 2533219.04 234742.72 2212498.84 230157.98 1891727.83 237832.93 195732.98 235802.00 229
TSAR-MVS + GP.1386.84 2091622.84 213678.81 209952.13 223840.17 2255358.21 233170.75 2132650.47 232713.54 2182394.28 229209.42 211855.56 2141854.36 229302.42 208340.71 204
COLMAP_ROBcopyleft2144.59 111658.33 2121869.33 2141025.33 2231030.00 2311023.00 2375311.00 232359.00 2293044.00 233937.00 2242892.00 232332.00 2231440.00 2342312.00 234607.00 218613.00 219
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
DeepC-MVS_fast2190.19 121535.59 2111886.82 215481.89 190847.73 218830.16 2247943.84 249189.23 2162398.83 229691.73 2162341.13 226209.16 210230.25 1691999.25 232360.46 212385.25 210
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
F-COLMAP1878.17 2132113.11 2161173.33 2271231.00 2321174.00 2386297.00 235392.00 2343356.00 2361087.00 2343082.00 233361.00 2271670.00 2362523.00 236689.00 225676.00 224
CMPMVSbinary2623.62 151983.08 2152156.14 2171463.89 2371414.80 2381517.00 2435239.20 231867.40 2733310.30 2351128.70 2363489.90 235366.75 2282030.20 2482427.60 2351160.60 267844.46 237
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVS_ROBcopyleft1936.51 101959.51 2142224.88 2181163.39 2261253.91 2331434.22 2417065.71 239272.76 2192472.29 2301647.54 2643538.72 236200.37 2051496.48 2352575.17 237997.45 254559.48 216
MVS-HIRNet2125.39 2162452.68 2191143.53 2252938.33 2791446.92 2426083.19 234391.74 2333801.71 2391202.10 2383439.72 234492.73 2371304.35 2333048.25 241676.32 224679.32 225
PLCcopyleft2858.82 162192.92 2172474.00 2201349.67 2291407.00 2371356.00 2407164.00 240475.00 2463970.00 2401237.00 2413765.00 239451.00 2341891.00 2423006.00 240791.00 241802.00 229
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVScopyleft2352.88 132263.08 2182530.89 2211459.67 2361767.00 2491591.00 2467932.00 248399.00 2353643.00 2371176.00 2373569.00 237297.00 2181927.00 2443302.00 242693.00 230861.00 238
PCF-MVS4335.85 202272.23 2192597.03 2221297.84 2281701.20 2411332.37 2398105.11 250451.45 2424031.84 2411099.10 2353966.50 240467.45 2351734.05 2382701.68 239848.94 245827.11 235
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x4202340.81 2202643.03 2231434.14 2302025.55 2581629.36 2506542.40 236412.49 2364219.70 2431547.02 2524328.52 242650.74 2531798.26 2393333.17 243727.72 232874.79 239
CHOSEN 1792x26882340.81 2202643.03 2231434.14 2302025.55 2581629.36 2506542.40 236412.49 2364219.70 2431547.02 2524328.52 242650.74 2531798.26 2393333.17 243727.72 232874.79 239
HyFIR lowres test2340.81 2202643.03 2231434.14 2302025.55 2581629.36 2506542.40 236412.49 2364219.70 2431547.02 2524328.52 242650.74 2531798.26 2393333.17 243727.72 232874.79 239
3Dnovator2482.06 142531.17 2232839.56 2261606.00 2381732.00 2451557.00 2458375.00 252483.00 2474370.00 2461371.00 2474200.00 241350.00 2252207.00 2493877.00 249798.00 2421054.00 259
tpmrst2557.50 2242847.12 2271688.66 2411784.08 2501778.25 2607445.50 246342.14 2264471.54 2471534.55 2514382.10 245530.10 2412361.21 2524142.81 253991.22 253926.51 244
AdaColmapbinary2570.77 2252948.61 2281437.24 2331873.64 2511526.60 2447819.77 247373.97 2304970.45 2501479.29 2494648.46 247525.80 2401904.97 2434150.42 254695.69 231880.14 242
DeepPCF-MVS3452.42 182670.71 2273021.57 2291618.12 2392377.67 2651751.39 2598915.70 255567.44 2614569.74 2481236.84 2404615.63 246513.23 2382291.32 2503515.48 246882.39 247811.66 231
LF4IMVS2699.50 2283049.67 2301649.00 2401755.00 2461689.00 2548330.00 251464.00 2444997.00 2511528.00 2504763.00 249568.00 2442296.00 2514215.00 255827.00 244962.00 249
SD-MVS2654.53 2263055.56 2311451.45 2341725.60 2421598.35 2479203.30 256315.86 2235016.02 2521363.85 2444894.28 250387.23 2292023.43 2453973.88 250620.04 221732.56 226
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
EGC-MVSNET2819.75 2293096.89 2321988.33 2513105.00 2802241.00 2719480.00 260640.00 2674209.00 2421583.00 2574740.00 248547.00 2432797.00 2642644.00 238924.00 251927.00 245
Vis-MVSNetpermissive2877.42 2303170.00 2331999.67 2521673.00 2402042.00 2698593.00 253474.00 2456452.00 2651268.00 2425125.00 253339.00 2243004.00 2664222.00 256384.00 213953.00 248
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2891.50 2313284.78 2341711.67 2421954.00 2521655.00 25310117.00 269445.00 2415102.00 2551375.00 2485126.00 254351.00 2262638.00 2624402.00 257691.00 228842.00 236
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 2323537.00 2351975.67 2492310.00 2632005.00 26810100.00 268626.00 2665753.00 2561803.00 2675179.00 255487.00 2362622.00 2604550.00 2581025.00 2621300.00 266
DeepC-MVS3917.13 193155.06 2333601.83 2361814.72 2472515.52 2681941.53 26410432.50 270589.42 2624789.45 2491298.65 2437677.31 271578.35 2452589.53 2563611.78 248923.52 250913.10 243
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DPM-MVS3268.00 2343762.89 2371783.33 2451756.00 2471806.00 26112319.00 272307.00 2216319.00 2631557.00 2555763.00 256302.00 2202609.00 2585061.00 261482.00 216935.00 246
OPM-MVS3268.00 2343762.89 2371783.33 2451756.00 2471806.00 26112319.00 272307.00 2216319.00 2631557.00 2555763.00 256302.00 2202609.00 2585061.00 261482.00 216935.00 246
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TAPA-MVS6309.84 213374.90 2363806.99 2392078.63 2542535.47 2692499.25 2798816.16 254456.05 2436255.60 2621664.52 2656704.88 261629.95 2512768.38 2636343.93 275856.35 246968.25 250
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
tpm23617.85 2384007.23 2402449.73 2592012.71 2541698.05 2557351.19 242869.29 2746132.06 2581588.28 2588007.42 2741281.09 2803888.11 2787472.04 2791351.00 2691763.02 275
tpm cat13617.85 2384007.23 2402449.73 2592012.71 2541698.05 2557351.19 242869.29 2746132.06 2581588.28 2588007.42 2741281.09 2803888.11 2787472.04 2791351.00 2691763.02 275
CostFormer3617.85 2384007.23 2402449.73 2592012.71 2541698.05 2557351.19 242869.29 2746132.06 2581588.28 2588007.42 2741281.09 2803888.11 2787472.04 2791351.00 2691763.02 275
tpm3617.85 2384007.23 2402449.73 2592012.71 2541698.05 2557351.19 242869.29 2746132.06 2581588.28 2588007.42 2741281.09 2803888.11 2787472.04 2791351.00 2691763.02 275
TSAR-MVS + MP.3528.01 2374065.89 2441914.35 2482349.10 2642141.30 27012362.70 274417.60 2406717.80 2691759.40 2666497.50 259518.18 2392629.38 2615164.32 263806.40 243972.38 251
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
MVS_111021_HR3742.80 2424330.34 2451980.20 2502484.31 2672259.52 27214973.80 279515.90 2606500.13 2661949.21 2696146.89 258535.66 2422593.66 2574880.76 260986.37 2521087.43 260
MAR-MVS3973.16 2434387.92 2462728.86 2653345.27 2813341.39 28611403.90 271798.76 2716555.62 2682569.29 2796514.86 260834.97 2653237.43 2755891.08 2661577.54 2741607.76 267
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
GST-MVS4000.00 2464533.33 2472400.00 2582400.00 2662400.00 2737200.00 2412400.00 2907200.00 2762400.00 2787200.00 2662400.00 2842400.00 2537200.00 2772400.00 2812400.00 280
SED-MVS4062.74 2474671.13 2482237.56 2552643.17 2702465.14 27413996.40 276493.26 2487619.38 2772107.24 2707416.93 268610.24 2483088.29 2716075.14 2711078.39 2631159.26 261
DVP-MVS++3981.10 2444731.32 2491730.42 2432191.51 2611949.98 26516473.90 281355.33 2277172.90 2741622.98 2627879.79 272434.33 2322428.11 2545762.12 264689.04 226813.18 232
DVP-MVScopyleft3981.10 2444731.32 2491730.42 2432191.51 2611949.98 26516473.90 281355.33 2277172.90 2741622.98 2627879.79 272434.33 2322428.11 2545762.12 264689.04 226813.18 232
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
API-MVS4380.83 2494906.56 2512803.67 2663844.00 2823116.00 28513454.00 275901.00 2786511.00 2672794.00 2807365.00 267754.00 2623634.00 2766622.00 2761914.00 2801661.00 270
MSP-MVS4296.20 2484911.12 2522451.45 2632725.60 2752598.35 28016203.30 280515.86 2567016.02 2702363.85 2746894.28 262887.23 2663023.43 2675973.88 2671620.04 2751732.56 271
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
OMC-MVS5022.26 2505748.82 2532842.58 2674905.27 2843101.27 28414933.60 278812.24 2729278.40 2812959.29 2818800.17 2781092.24 2783806.30 2777568.54 2831389.60 2731620.18 269
CLD-MVS7338.25 2518341.00 2544330.00 2684902.00 2834991.00 28723318.00 284728.00 27014437.00 2914378.00 28313379.00 286824.00 2645708.00 28211429.00 2921674.00 2792291.00 279
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 2528776.23 2554410.16 2695298.55 2855631.53 28834329.90 2861504.57 28811554.00 2903896.41 28215111.00 287812.19 2635985.63 2833516.20 2472963.23 2821613.31 268
ZNCC-MVS9999.00 2539999.00 2569999.00 2719999.00 2889999.00 2919999.00 2619999.00 2949999.00 2829999.00 2869999.00 2799999.00 2879999.00 2849999.00 2849999.00 2859999.00 283
patch_mono-210000.00 25410000.00 25710000.00 27210000.00 28910000.00 29210000.00 26210000.00 29510000.00 28310000.00 28710000.00 28010000.00 28810000.00 28510000.00 28510000.00 28610000.00 284
dcpmvs_210000.00 25410000.00 25710000.00 27210000.00 28910000.00 29210000.00 26210000.00 29510000.00 28310000.00 28710000.00 28010000.00 28810000.00 28510000.00 28510000.00 28610000.00 284
DCPMVS10000.00 25410000.00 25710000.00 27210000.00 28910000.00 29210000.00 26210000.00 29510000.00 28310000.00 28710000.00 28010000.00 28810000.00 28510000.00 28510000.00 28610000.00 284
UA-Net10000.00 25410000.00 25710000.00 27210000.00 28910000.00 29210000.00 26210000.00 29510000.00 28310000.00 28710000.00 28010000.00 28810000.00 28510000.00 28510000.00 28610000.00 284
uncertanet10000.00 25410000.00 25710000.00 27210000.00 28910000.00 29210000.00 26210000.00 29510000.00 28310000.00 28710000.00 28010000.00 28810000.00 28510000.00 28510000.00 28610000.00 284
uanet10000.00 25410000.00 25710000.00 27210000.00 28910000.00 29210000.00 26210000.00 29510000.00 28310000.00 28710000.00 28010000.00 28810000.00 28510000.00 28510000.00 28610000.00 284
MVEpermissive10021.00 2210550.67 26010002.44 26312195.33 2786242.00 2868768.00 29030896.00 2854451.00 29110331.00 2896247.00 28418296.00 288283.00 21721484.00 2927364.00 2785912.00 2846334.00 282
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 26111772.44 2647637.33 2709120.00 2878206.00 28922252.00 2832010.00 28924984.00 2927458.00 28522596.00 2892940.00 28510260.00 29111100.00 2913492.00 2834446.00 281
LTVRE_ROB20565.47 2323378.08 26222805.00 26525097.33 27915500.00 29519201.00 29842712.00 2876055.00 29238388.00 29316926.00 29338534.00 2907071.00 28635653.00 29329475.00 29310584.00 29220438.00 291
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 26334443.44 26627094.33 28029249.00 29625246.00 29951144.00 2886705.00 29342886.00 29422888.00 29448534.00 29113263.00 29437507.00 29479298.00 29416024.00 29318530.00 290
114514_t99999.00 26499999.00 26799999.00 28199999.00 29799999.00 30099999.00 28999999.00 30199999.00 29599999.00 29599999.00 29299999.00 29599999.00 29599999.00 29599999.00 29499999.00 292
PHI-MVS99999.00 26499999.00 26799999.00 28199999.00 29799999.00 30099999.00 28999999.00 30199999.00 29599999.00 29599999.00 29299999.00 29599999.00 29599999.00 29599999.00 29499999.00 292
XVG-OURS-SEG-HR999999.00 268999999.00 269999999.00 283999999.00 299999999.00 302999999.00 291999999.00 303999999.00 297999999.00 297999999.00 294999999.00 297999999.00 297999999.00 297999999.00 296999999.00 294
XVG-OURS999999.00 268999999.00 269999999.00 283999999.00 299999999.00 302999999.00 291999999.00 303999999.00 297999999.00 297999999.00 294999999.00 297999999.00 297999999.00 297999999.00 296999999.00 294
XVG-ACMP-BASELINE999999.00 268999999.00 269999999.00 283999999.00 299999999.00 302999999.00 291999999.00 303999999.00 297999999.00 297999999.00 294999999.00 297999999.00 297999999.00 297999999.00 296999999.00 294
MP-MVS-pluss833433.63 2661111219.60 27275.70 14574.28 14873.29 152284.50 15011.35 145238.58 15465.86 150255.35 16214.55 143115.69 16410000000.00 30031.94 14338.12 149
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MTAPA833442.10 2671111233.77 27367.09 14165.59 14764.81 151284.50 15010000000.00 306219.97 15359.62 149229.89 15712.72 142103.00 162203.67 16327.93 14233.46 141
dmvs_re10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
SDMVSNet10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
dmvs_testset10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
sd_testset10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
iter_conf_final10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
bld_raw_dy_0_6410000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
test250610000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
test111110000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
ECVR-MVScopyleft10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
test_blank10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
tt080510000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
Anonymous2024052110000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
cl2210000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
miper_ehance_all_eth10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
miper_enhance_ethall10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
cl____10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
DIV-MVS_self_test10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
eth_miper_zixun_eth10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
ET-MVSNet_ETH3D10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
UniMVSNet_ETH3D10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
miper_lstm_enhance10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
D2MVS10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
test_yl10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
thisisatest053010000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
Anonymous2024052910000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
Anonymous20240521110000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
DCV-MVSNet10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
tttt051710000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
our_test_310000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
thisisatest051510000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
ppachtmachnet_test10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
SMA-MVScopyleft10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
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 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
tfpnnormal10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
tfpn200view910000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
c3_l10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
IterMVS-SCA-FT10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
pmmvs610000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
pmmvs510000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
Anonymous2023121110000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
pmmvs-eth3d10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
Anonymous2023120610000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
SCA10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
Patchmatch-test10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
Patchmatch-RL test10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
canonicalmvs10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
anonymousdsp10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
FIs10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
FC-MVSNet-test10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
sosnet-low-res10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
AllTest10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
iter_conf0510000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
RRT_MVS10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
HPM-MVS++copyleft10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
XVS10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
pm-mvs110000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
X-MVStestdata10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
APDe-MVScopyleft10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
pmmvs410000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
test-LLR10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
TESTMET0.1,110000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
test-mter10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
testgi10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
test20.0310000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
thres600view710000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
MP-MVScopyleft10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
thres40010000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
test12310000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
thres20010000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
test0.0.03 110000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
pmmvs310000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
EMVS10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
E-PMN10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
PGM-MVS10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
MCST-MVS10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
MVS_Test10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
PMMVS210000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
PM-MVS10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
HQP_MVS10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
mPP-MVS10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
mvsmamba10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
HPM-MVS_fast10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
HPM-MVScopyleft10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
EPNet_dtu10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
NCCC10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
CP-MVS10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
CPTT-MVS10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
HQP-MVS10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
IS-MVSNet10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
PAPM_NR10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
PAPR10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
Vis-MVSNet (Re-imp)10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
PatchMatch-RL10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
TDRefinement10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
EPP-MVSNet10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
PMMVS10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
PAPM10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
ACMMPcopyleft10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
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 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
wuyk23d10000000.00 27110000000.00 27410000000.00 28610000000.00 30210000000.00 30510000000.00 29410000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
APD-MVScopyleft1000000000.00 3771000000000.00 3801000000000.00 3941000000000.00 4181000000000.00 4191000000000.00 4051000000000.00 4191000000000.00 4121000000000.00 4131000000000.00 4101000000000.00 4151000000000.00 4131000000000.00 4121000000000.00 4111000000000.00 409
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
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
WAC-MVS248.46 175422.23 170
FOURS12643.17 2702465.14 27413996.40 276493.26 2487619.38 2772107.24 270
MSC_two_6792asdad2237.56 2552643.17 2702465.14 274493.26 2483088.29 2716075.14 2711078.39 2631159.26 261
PC_three_14527619.38 2772107.24 2707416.93 268610.24 2483088.29 2716075.14 2711078.39 2631159.26 261
No_MVS2237.56 2552643.17 2702465.14 274493.26 2483088.29 2716075.14 2711078.39 2631159.26 261
test_one_06012643.17 2702465.14 274493.26 2487619.38 2772107.24 2707416.93 268610.24 248
eth-test21.42 83
eth-test10000000.00 302
ZD-MVS1584.00 2391821.00 263378.00 2323721.00 2381231.00 2391833.00 220321.00 2221224.00 2322103.00 233692.00 229
IU-MVS2725.60 2752598.35 280515.86 2567016.02 2702363.85 2745973.88 2671620.04 2751732.56 271
OPU-MVS2451.45 2632725.60 2752598.35 2809203.30 2566894.28 262887.23 2663023.43 2675973.88 2671620.04 2751732.56 271
test_241102_TWO515.86 2567016.02 2702363.85 2746894.28 262887.23 2663023.43 2675973.88 2671620.04 2751732.56 271
test_241102_ONE2725.60 2752598.35 280515.86 2567016.02 2702363.85 2746894.28 262887.23 2663023.43 267
save fliter0.00 10.00 10.00 10.00 10.00 1
test_0728_THIRD5016.02 2521363.85 2444894.28 250387.23 2292023.43 2453973.88 250620.04 221732.56 226
test_0728_SECOND1451.45 2341725.60 2421598.35 2479203.30 256315.86 2232023.43 2453973.88 250620.04 221732.56 226
test07261725.60 2421598.35 2479203.30 256315.86 2235016.02 2521363.85 2444894.28 250387.23 229
GSMVS10000000.00 297
test_part210000000.00 30210000000.00 30510000000.00 300
sam_mvs110000000.00 30010000000.00 297
sam_mvs10000000.00 300
ambc999.00 216999.00 224999.00 230999.00 182999.00 279999.00 225999.00 191999.00 271999.00 221999.00 201999.00 255999.00 252
MTGPAbinary10000000.00 306
test_post110000000.00 29410000000.00 29710000000.00 30010000000.00 30010000000.00 300
test_post10000000.00 29710000000.00 30010000000.00 300
patchmatchnet-post10000000.00 29710000000.00 30010000000.00 300
GG-mvs-BLEND596.01 199611.29 199600.33 208790.30 173513.12 254552.71 203567.40 167662.54 258531.67 188503.93 176779.80 236656.02 220
MTMP10000000.00 29410000000.00 306
gm-plane-assit611.29 199600.33 208579.21 171567.40 167531.67 188503.93 176
test9_res0.00 10.00 10.00 1
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
agg_prior0.00 10.00 10.00 10.00 10.00 1
TestCases10000000.00 28610000000.00 30210000000.00 30510000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
test_prior40.00 10.00 1
test_prior20.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_prior0.00 10.00 10.00 10.00 10.00 10.00 1
旧先验20.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
新几何10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
旧先验10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
无先验0.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM20.00 1
原ACMM10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test2220.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
testdata0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata10.00 10.00 1
test120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
plane_prior710000000.00 30210000000.00 305
plane_prior610000000.00 30210000000.00 30510000000.00 300
plane_prior510000000.00 30610000000.00 30010000000.00 30010000000.00 29910000000.00 297
plane_prior410000000.00 297
plane_prior310000000.00 30510000000.00 30010000000.00 300
plane_prior210000000.00 29410000000.00 300
plane_prior110000000.00 302
plane_prior1.00 782.00 1062.00 1072.00 105
n214.20 148
nn1.42 86
door-mid1.42 86
lessismore_v0569.20 197667.25 213644.68 21496.45 183428.86 1891514.17 216204.21 209756.58 2101061.60 210197.79 187306.34 199
LGP-MVS_train10000000.00 28610000000.00 30210000000.00 30510000000.00 30610000000.00 30010000000.00 30010000000.00 29710000000.00 30010000000.00 30010000000.00 30010000000.00 29910000000.00 297
test111.00 79
door99.00 187
HQP5-MVS10000000.00 305
HQP-NCC10000000.00 30210000000.00 29410000000.00 30010000000.00 300
ACMP_Plane10000000.00 30210000000.00 29410000000.00 30010000000.00 300
BP-MVS10000000.00 300
HQP4-MVS10000000.00 30010000000.00 30010000000.00 297
HQP3-MVS10000000.00 30610000000.00 299
HQP2-MVS10000000.00 300
NP-MVS10000000.00 30210000000.00 30510000000.00 297
MDTV_nov1_ep13_2view9.99 1289.99 1269.99 1279.99 1269.99 1289.99 1249.99 127
ACMMP++_ref10000000.00 299
ACMMP++10000000.00 299
Test By Simon990.00 270
ITE_SJBPF2014.00 2531998.00 2531992.00 267701.00 2695989.00 2571812.00 2683612.00 238650.00 2522852.00 2654601.00 2591195.00 2681198.00 265
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