High-resolution multi-view benchmark

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

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

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

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

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




Method Infoallhigh-res
multi-view		indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
fmvsm_l_conf0.5_n_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
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
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
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
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
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
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
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
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
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
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 175438.24 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 166115.87 168
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
Syy-MVS370.76 154415.60 157236.25 163310.54 174210.76 173965.13 17998.58 186746.06 182266.26 175788.85 18191.37 176364.76 176357.17 168116.42 170133.22 170
tmp_tt371.08 155412.78 156246.00 166231.00 168197.00 1711293.00 195376.00 232756.00 184609.00 21071.00 142106.00 182195.00 167102.00 148171.00 182346.00 206
myMVS_eth3d390.90 156437.44 158251.28 167310.54 174255.86 177965.13 17998.58 186746.06 182266.26 175788.85 181154.95 188364.76 176490.19 173116.42 170133.22 170
RPSCF394.81 157445.63 159242.35 164276.55 173253.63 1761207.27 19290.69 180715.56 179241.57 174684.87 176111.96 183320.02 174548.38 181133.81 173153.39 174
WB-MVSnew404.84 158458.00 160245.36 165374.70 180320.27 1821193.74 19172.90 173773.77 185238.30 172688.22 17790.05 175308.59 173532.76 180157.54 176107.21 167
testing3418.10 159469.06 161265.23 168335.69 176290.63 1791240.88 19393.72 181717.99 180215.31 171811.97 187232.41 215358.74 175458.67 172114.88 169146.32 172
EG-PatchMatch MVS437.03 160493.12 164268.77 169264.80 172260.20 1781491.80 19898.00 185723.20 181238.80 173722.40 17863.10 168382.00 180629.00 185207.00 189164.10 177
ADS-MVSNet2443.33 161482.84 162324.79 176434.94 188387.73 1871110.57 18987.69 178887.02 189282.92 177779.29 17998.57 180422.76 185502.40 174162.19 180163.87 175
ADS-MVSNet443.33 161482.84 162324.79 176434.94 188387.73 1871110.57 18987.69 178887.02 189282.92 177779.29 17998.57 180422.76 185502.40 174162.19 180163.87 175
MVP-Stereo473.58 163533.67 165293.33 170376.00 181318.00 1801461.00 19696.00 182835.00 187290.00 180804.00 18497.00 178383.00 182688.00 192156.00 174179.00 179
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 163533.67 165293.33 170376.00 181318.00 1801461.00 19696.00 182835.00 187290.00 180804.00 18497.00 178383.00 182688.00 192156.00 174179.00 179
PatchmatchNetpermissive492.52 165551.22 167316.40 174400.20 184357.90 1851277.10 194115.80 1921034.60 199315.90 182874.00 188155.10 189402.20 184629.50 186158.80 177189.10 181
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmvs501.65 166567.42 168304.33 173395.39 183356.32 1841512.04 199216.53 219994.15 192350.16 185804.16 186119.38 184380.98 179555.14 182159.87 178175.69 178
DELS-MVS514.57 167587.73 170295.12 172343.03 177328.09 1831540.48 200116.22 193988.59 191325.44 183906.22 189119.86 185365.72 178788.60 194161.09 179191.55 182
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
DP-MVS Recon516.25 168581.17 169321.48 175361.02 178429.00 1911995.36 20478.48 176796.20 186283.32 179796.02 18396.78 177382.98 181636.72 187186.66 186152.46 173
gg-mvs-nofinetune594.69 169605.37 171562.67 197617.29 204500.33 195772.30 172413.12 240579.21 171552.71 204567.40 167662.54 259531.67 189503.93 176779.80 237656.02 221
SR-MVS610.10 170610.10 172610.10 202610.10 198610.10 212610.10 169610.10 264610.10 177610.10 211610.10 173610.10 247610.10 205610.10 183610.10 220610.10 218
CR-MVSNet612.36 171617.81 174596.01 200611.29 200600.33 209790.30 173513.12 255579.21 171552.71 204567.40 167662.54 259531.67 189503.93 176779.80 237656.02 221
IterMVS615.05 172691.66 175385.23 180516.40 191454.80 1921863.80 202102.10 1891142.20 201364.10 1861093.20 203135.00 186480.40 188826.90 195181.20 183220.50 184
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 173700.96 176362.78 178426.10 187409.25 1891822.69 201124.42 2021186.23 202366.85 1871079.42 201190.60 203451.78 187930.72 199181.59 184227.30 185
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 174754.00 177383.51 179368.96 179376.38 1862483.74 21782.42 1771089.25 200333.39 1841219.68 20466.53 170573.60 202957.86 200184.14 185200.56 183
Gipumacopyleft689.75 175767.00 178458.00 189613.00 203549.00 2071943.00 203187.00 2161230.00 203518.00 2011092.00 202203.00 209564.00 194892.00 198225.00 199261.00 193
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
IterMVS-LS758.94 176856.56 181466.10 190606.60 196546.80 2052309.90 206122.20 2011402.80 207463.50 1911348.20 206192.60 204574.60 2031028.60 210234.60 201276.90 195
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
new-patchmatchnet766.12 177859.03 182487.38 193595.68 193536.14 1972346.27 207142.51 2071488.08 209422.43 1881361.32 208163.65 192628.60 2071003.74 209207.61 190297.41 199
SixPastTwentyTwo773.62 178869.37 184486.35 192603.45 195547.15 2062532.14 218106.92 1911434.95 208428.08 1891360.56 207165.15 193628.96 208984.09 201209.01 191282.94 196
mvs_anonymous774.90 179882.28 185452.77 182636.50 205537.20 1982348.80 208120.30 1941504.30 210474.40 1921371.10 209186.90 195564.70 1951078.90 212219.30 192256.40 186
casdiffmvspermissive774.90 179882.28 185452.77 182636.50 205537.20 1982348.80 208120.30 1941504.30 210474.40 1921371.10 209186.90 195564.70 1951078.90 212219.30 192256.40 186
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 179882.28 185452.77 182636.50 205537.20 1982348.80 208120.30 1941504.30 210474.40 1921371.10 209186.90 195564.70 1951078.90 212219.30 192256.40 186
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 179882.28 185452.77 182636.50 205537.20 1982348.80 208120.30 1941504.30 210474.40 1921371.10 209186.90 195564.70 1951078.90 212219.30 192256.40 186
baseline1774.90 179882.28 185452.77 182636.50 205537.20 1982348.80 208120.30 1941504.30 210474.40 1921371.10 209186.90 195564.70 1951078.90 212219.30 192256.40 186
casdiffmvs_mvgpermissive774.90 179882.28 185452.77 182636.50 205537.20 1982348.80 208120.30 1941504.30 210474.40 1921371.10 209186.90 195564.70 1951078.90 212219.30 192256.40 186
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 179882.28 185452.77 182636.50 205537.20 1982348.80 208120.30 1941504.30 210474.40 1921371.10 209186.90 195564.70 1951078.90 212219.30 192256.40 186
RPMNet787.26 186829.13 179661.63 206885.90 220895.90 229455.98 167610.10 2641297.17 2041002.26 2331001.67 199655.98 257611.10 206667.90 189885.21 249477.90 215
JIA-IIPM804.30 187835.64 180710.26 211885.90 220895.90 229455.98 167668.73 2691297.17 2041002.26 2331001.67 199655.98 257756.98 212667.90 189885.21 249477.90 215
CSCG826.03 188963.29 193414.24 181421.52 186426.11 1902230.35 205179.52 2151827.44 222733.43 221933.12 191281.25 217545.23 1931800.35 229262.64 203271.38 194
PVSNet1207.94 6829.56 189937.18 192506.69 194645.55 212585.72 2082477.98 216130.52 2031578.29 218509.50 2001460.01 216194.90 205637.19 2091170.78 220267.07 205297.17 198
PatchT856.34 190860.99 183842.38 2161290.90 235880.90 227790.30 1731267.30 287579.21 171923.90 223567.40 167662.54 259990.23 220887.56 197779.80 237656.02 221
K. test v3877.74 191980.16 194570.46 1991316.85 237813.15 2242565.52 219103.78 1901509.49 217548.33 2031258.90 205219.93 214587.82 2041102.37 219196.30 187310.42 201
MVSTER890.06 1921005.91 201542.52 195736.13 217653.90 2162616.56 220145.22 2091692.10 221555.69 2071554.72 218266.25 216660.02 2101219.66 221266.84 204313.64 202
PMVScopyleft863.65 3957.08 1931054.11 202666.00 208401.00 185495.00 1943790.00 225279.00 2211607.00 220521.00 2021745.00 22090.00 1731105.00 231639.00 188415.00 216398.00 213
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ACMH993.80 5967.92 1941106.11 204553.33 196494.00 190534.00 1963581.00 223136.00 2041585.00 219478.00 1991871.00 22290.00 173839.00 2141460.00 223260.00 202287.00 197
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet_01661.03 9968.54 1951066.82 203673.70 209706.94 215695.69 2172669.02 221153.52 2112108.17 227605.54 2091679.14 219213.26 213886.75 2171236.76 222229.01 200438.67 214
OurMVSNet-221017-0999.00 196999.00 195999.00 217999.00 225999.00 231999.00 182999.00 280999.00 193999.00 226999.00 192999.00 272999.00 222999.00 202999.00 256999.00 253
EPMVS999.00 196999.00 195999.00 217999.00 225999.00 231999.00 182999.00 280999.00 193999.00 226999.00 192999.00 272999.00 222999.00 202999.00 256999.00 253
uanet_test1000.00 1981000.00 1971000.00 2201000.00 2281000.00 2341000.00 1851000.00 2831000.00 1951000.00 2291000.00 1951000.00 2751000.00 2251000.00 2051000.00 2591000.00 256
sosnet1000.00 1981000.00 1971000.00 2201000.00 2281000.00 2341000.00 1851000.00 2831000.00 1951000.00 2291000.00 1951000.00 2751000.00 2251000.00 2051000.00 2591000.00 256
USDC1000.00 1981000.00 1971000.00 2201000.00 2281000.00 2341000.00 1851000.00 2831000.00 1951000.00 2291000.00 1951000.00 2751000.00 2251000.00 2051000.00 2591000.00 256
TinyColmap1000.00 1981000.00 1971000.00 2201000.00 2281000.00 2341000.00 1851000.00 2831000.00 1951000.00 2291000.00 1951000.00 2751000.00 2251000.00 2051000.00 2591000.00 256
ACMP1246.57 71086.24 2021235.17 206639.45 203596.53 194639.91 2143904.24 226152.04 2101851.54 223566.58 2081997.95 224138.50 187938.30 2181605.46 225303.70 211340.14 204
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Patchmtry1090.75 2031198.88 205766.38 2151290.90 235485.90 1932423.98 2151267.30 2871297.17 204923.90 223923.40 1901215.54 280990.23 220667.90 189779.80 237823.02 235
test_04021110.00 2041260.00 207660.00 205900.00 223780.00 2233300.00 222210.00 2182040.00 226690.00 2161950.00 223300.00 220810.00 2131620.00 226330.00 212390.00 212
MVS_111021_LR1136.45 2051298.72 208649.64 204756.17 218726.26 2203785.94 224138.15 2062190.64 228629.63 2142064.39 225165.45 194874.83 2161678.43 228279.70 206347.82 207
ACMM1311.08 81165.06 2061332.72 209662.07 207584.90 192715.99 2194373.59 230153.99 2121880.27 224709.02 2182316.97 226188.63 202939.89 2191484.30 224302.78 210330.34 203
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++1242.93 2071411.08 210738.48 213712.71 216712.68 2184168.17 228136.50 2052276.40 229613.28 2132368.60 229161.61 1911130.38 2321964.54 232297.88 208372.39 209
MG-MVS1256.50 2081432.00 211730.00 212610.00 197760.00 2214720.00 231169.00 2131920.00 225723.00 2202510.00 232201.00 2071050.00 2291645.00 227390.00 215380.00 210
ACMMPR1296.60 2091480.82 212743.96 214899.25 222763.47 2224305.47 229143.90 2082530.94 232683.99 2152346.34 228201.65 2081098.25 2301920.59 231295.21 207370.16 208
TSAR-MVS + GP.1386.84 2101622.84 214678.81 210952.13 224840.17 2265358.21 234170.75 2142650.47 233713.54 2192394.28 230209.42 212855.56 2151854.36 230302.42 209340.71 205
FPMVS1407.00 2111495.59 2131141.23 225648.01 213893.85 2284124.00 227503.81 2543219.04 235742.72 2222498.84 231157.98 1901727.83 238832.93 196732.98 236802.00 230
DeepC-MVS_fast2190.19 121535.59 2121886.82 216481.89 191847.73 219830.16 2257943.84 250189.23 2172398.83 230691.73 2172341.13 227209.16 211230.25 1691999.25 233360.46 213385.25 211
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
COLMAP_ROBcopyleft2144.59 111658.33 2131869.33 2151025.33 2241030.00 2321023.00 2385311.00 233359.00 2303044.00 234937.00 2252892.00 233332.00 2241440.00 2352312.00 235607.00 219613.00 220
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 2142113.11 2171173.33 2281231.00 2331174.00 2396297.00 236392.00 2353356.00 2371087.00 2353082.00 234361.00 2281670.00 2372523.00 237689.00 226676.00 225
OpenMVS_ROBcopyleft1936.51 101959.51 2152224.88 2191163.39 2271253.91 2341434.22 2427065.71 240272.76 2202472.29 2311647.54 2653538.72 237200.37 2061496.48 2362575.17 238997.45 255559.48 217
CMPMVSbinary2623.62 151983.08 2162156.14 2181463.89 2381414.80 2391517.00 2445239.20 232867.40 2743310.30 2361128.70 2373489.90 236366.75 2292030.20 2492427.60 2361160.60 268844.46 238
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MVS-HIRNet2125.39 2172452.68 2201143.53 2262938.33 2801446.92 2436083.19 235391.74 2343801.71 2401202.10 2393439.72 235492.73 2381304.35 2343048.25 242676.32 225679.32 226
PLCcopyleft2858.82 162192.92 2182474.00 2211349.67 2301407.00 2381356.00 2417164.00 241475.00 2473970.00 2411237.00 2423765.00 240451.00 2351891.00 2433006.00 241791.00 242802.00 230
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVScopyleft2352.88 132263.08 2192530.89 2221459.67 2371767.00 2501591.00 2477932.00 249399.00 2363643.00 2381176.00 2383569.00 238297.00 2191927.00 2453302.00 243693.00 231861.00 239
PCF-MVS4335.85 202272.23 2202597.03 2231297.84 2291701.20 2421332.37 2408105.11 251451.45 2434031.84 2421099.10 2363966.50 241467.45 2361734.05 2392701.68 240848.94 246827.11 236
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x4202340.81 2212643.03 2241434.14 2312025.55 2591629.36 2516542.40 237412.49 2374219.70 2441547.02 2534328.52 243650.74 2541798.26 2403333.17 244727.72 233874.79 240
CHOSEN 1792x26882340.81 2212643.03 2241434.14 2312025.55 2591629.36 2516542.40 237412.49 2374219.70 2441547.02 2534328.52 243650.74 2541798.26 2403333.17 244727.72 233874.79 240
HyFIR lowres test2340.81 2212643.03 2241434.14 2312025.55 2591629.36 2516542.40 237412.49 2374219.70 2441547.02 2534328.52 243650.74 2541798.26 2403333.17 244727.72 233874.79 240
3Dnovator2482.06 142531.17 2242839.56 2271606.00 2391732.00 2461557.00 2468375.00 253483.00 2484370.00 2471371.00 2484200.00 242350.00 2262207.00 2503877.00 250798.00 2431054.00 260
tpmrst2557.50 2252847.12 2281688.66 2421784.08 2511778.25 2617445.50 247342.14 2274471.54 2481534.55 2524382.10 246530.10 2422361.21 2534142.81 254991.22 254926.51 245
AdaColmapbinary2570.77 2262948.61 2291437.24 2341873.64 2521526.60 2457819.77 248373.97 2314970.45 2511479.29 2504648.46 248525.80 2411904.97 2444150.42 255695.69 232880.14 243
SD-MVS2654.53 2273055.56 2321451.45 2351725.60 2431598.35 2489203.30 257315.86 2245016.02 2531363.85 2454894.28 251387.23 2302023.43 2463973.88 251620.04 222732.56 227
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
DeepPCF-MVS3452.42 182670.71 2283021.57 2301618.12 2402377.67 2661751.39 2608915.70 256567.44 2624569.74 2491236.84 2414615.63 247513.23 2392291.32 2513515.48 247882.39 248811.66 232
LF4IMVS2699.50 2293049.67 2311649.00 2411755.00 2471689.00 2558330.00 252464.00 2454997.00 2521528.00 2514763.00 250568.00 2452296.00 2524215.00 256827.00 245962.00 250
EGC-MVSNET2819.75 2303096.89 2331988.33 2523105.00 2812241.00 2729480.00 261640.00 2684209.00 2431583.00 2584740.00 249547.00 2442797.00 2652644.00 239924.00 252927.00 246
Vis-MVSNetpermissive2877.42 2313170.00 2341999.67 2531673.00 2412042.00 2708593.00 254474.00 2466452.00 2661268.00 2435125.00 254339.00 2253004.00 2674222.00 257384.00 214953.00 249
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2891.50 2323284.78 2351711.67 2431954.00 2531655.00 25410117.00 270445.00 2425102.00 2561375.00 2495126.00 255351.00 2272638.00 2634402.00 258691.00 229842.00 237
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 2333537.00 2361975.67 2502310.00 2642005.00 26910100.00 269626.00 2675753.00 2571803.00 2685179.00 256487.00 2372622.00 2614550.00 2591025.00 2631300.00 267
DeepC-MVS3917.13 193155.06 2343601.83 2371814.72 2482515.52 2691941.53 26510432.50 271589.42 2634789.45 2501298.65 2447677.31 272578.35 2462589.53 2573611.78 249923.52 251913.10 244
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 2353762.89 2381783.33 2461756.00 2481806.00 26212319.00 273307.00 2226319.00 2641557.00 2565763.00 257302.00 2212609.00 2595061.00 262482.00 217935.00 247
OPM-MVS3268.00 2353762.89 2381783.33 2461756.00 2481806.00 26212319.00 273307.00 2226319.00 2641557.00 2565763.00 257302.00 2212609.00 2595061.00 262482.00 217935.00 247
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TAPA-MVS6309.84 213374.90 2373806.99 2402078.63 2552535.47 2702499.25 2808816.16 255456.05 2446255.60 2631664.52 2666704.88 262629.95 2522768.38 2646343.93 276856.35 247968.25 251
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 2384065.89 2451914.35 2492349.10 2652141.30 27112362.70 275417.60 2416717.80 2701759.40 2676497.50 260518.18 2402629.38 2625164.32 264806.40 244972.38 252
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
tpm23617.85 2394007.23 2412449.73 2602012.71 2551698.05 2567351.19 243869.29 2756132.06 2591588.28 2598007.42 2751281.09 2813888.11 2797472.04 2801351.00 2701763.02 276
tpm cat13617.85 2394007.23 2412449.73 2602012.71 2551698.05 2567351.19 243869.29 2756132.06 2591588.28 2598007.42 2751281.09 2813888.11 2797472.04 2801351.00 2701763.02 276
CostFormer3617.85 2394007.23 2412449.73 2602012.71 2551698.05 2567351.19 243869.29 2756132.06 2591588.28 2598007.42 2751281.09 2813888.11 2797472.04 2801351.00 2701763.02 276
tpm3617.85 2394007.23 2412449.73 2602012.71 2551698.05 2567351.19 243869.29 2756132.06 2591588.28 2598007.42 2751281.09 2813888.11 2797472.04 2801351.00 2701763.02 276
MVS_111021_HR3742.80 2434330.34 2461980.20 2512484.31 2682259.52 27314973.80 280515.90 2616500.13 2671949.21 2706146.89 259535.66 2432593.66 2584880.76 261986.37 2531087.43 261
MAR-MVS3973.16 2444387.92 2472728.86 2663345.27 2823341.39 28711403.90 272798.76 2726555.62 2692569.29 2806514.86 261834.97 2663237.43 2765891.08 2671577.54 2751607.76 268
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
DVP-MVS++3981.10 2454731.32 2501730.42 2442191.51 2621949.98 26616473.90 282355.33 2287172.90 2751622.98 2637879.79 273434.33 2332428.11 2555762.12 265689.04 227813.18 233
DVP-MVScopyleft3981.10 2454731.32 2501730.42 2442191.51 2621949.98 26616473.90 282355.33 2287172.90 2751622.98 2637879.79 273434.33 2332428.11 2555762.12 265689.04 227813.18 233
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
GST-MVS4000.00 2474533.33 2482400.00 2592400.00 2672400.00 2747200.00 2422400.00 2917200.00 2772400.00 2797200.00 2672400.00 2852400.00 2547200.00 2782400.00 2822400.00 281
SED-MVS4062.74 2484671.13 2492237.56 2562643.17 2712465.14 27513996.40 277493.26 2497619.38 2782107.24 2717416.93 269610.24 2493088.29 2726075.14 2721078.39 2641159.26 262
MSP-MVS4296.20 2494911.12 2532451.45 2642725.60 2762598.35 28116203.30 281515.86 2577016.02 2712363.85 2756894.28 263887.23 2673023.43 2685973.88 2681620.04 2761732.56 272
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
API-MVS4380.83 2504906.56 2522803.67 2673844.00 2833116.00 28613454.00 276901.00 2796511.00 2682794.00 2817365.00 268754.00 2633634.00 2776622.00 2771914.00 2811661.00 271
OMC-MVS5022.26 2515748.82 2542842.58 2684905.27 2853101.27 28514933.60 279812.24 2739278.40 2822959.29 2828800.17 2791092.24 2793806.30 2787568.54 2841389.60 2741620.18 270
CLD-MVS7338.25 2528341.00 2554330.00 2694902.00 2844991.00 28823318.00 285728.00 27114437.00 2924378.00 28413379.00 287824.00 2655708.00 28311429.00 2931674.00 2802291.00 280
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 2538776.23 2564410.16 2705298.55 2865631.53 28934329.90 2871504.57 28911554.00 2913896.41 28315111.00 288812.19 2645985.63 2843516.20 2482963.23 2831613.31 269
ZNCC-MVS9999.00 2549999.00 2579999.00 2729999.00 2899999.00 2929999.00 2629999.00 2959999.00 2839999.00 2879999.00 2809999.00 2889999.00 2859999.00 2859999.00 2869999.00 284
patch_mono-210000.00 25510000.00 25810000.00 27310000.00 29010000.00 29310000.00 26310000.00 29610000.00 28410000.00 28810000.00 28110000.00 28910000.00 28610000.00 28610000.00 28710000.00 285
dcpmvs_210000.00 25510000.00 25810000.00 27310000.00 29010000.00 29310000.00 26310000.00 29610000.00 28410000.00 28810000.00 28110000.00 28910000.00 28610000.00 28610000.00 28710000.00 285
DCPMVS10000.00 25510000.00 25810000.00 27310000.00 29010000.00 29310000.00 26310000.00 29610000.00 28410000.00 28810000.00 28110000.00 28910000.00 28610000.00 28610000.00 28710000.00 285
UA-Net10000.00 25510000.00 25810000.00 27310000.00 29010000.00 29310000.00 26310000.00 29610000.00 28410000.00 28810000.00 28110000.00 28910000.00 28610000.00 28610000.00 28710000.00 285
uncertanet10000.00 25510000.00 25810000.00 27310000.00 29010000.00 29310000.00 26310000.00 29610000.00 28410000.00 28810000.00 28110000.00 28910000.00 28610000.00 28610000.00 28710000.00 285
uanet10000.00 25510000.00 25810000.00 27310000.00 29010000.00 29310000.00 26310000.00 29610000.00 28410000.00 28810000.00 28110000.00 28910000.00 28610000.00 28610000.00 28710000.00 285
MVEpermissive10021.00 2210550.67 26110002.44 26412195.33 2796242.00 2878768.00 29130896.00 2864451.00 29210331.00 2906247.00 28518296.00 289283.00 21821484.00 2937364.00 2795912.00 2856334.00 283
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 26211772.44 2657637.33 2719120.00 2888206.00 29022252.00 2842010.00 29024984.00 2937458.00 28622596.00 2902940.00 28610260.00 29211100.00 2923492.00 2844446.00 282
LTVRE_ROB20565.47 2323378.08 26322805.00 26625097.33 28015500.00 29619201.00 29942712.00 2886055.00 29338388.00 29416926.00 29438534.00 2917071.00 28735653.00 29429475.00 29410584.00 29320438.00 292
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 26434443.44 26727094.33 28129249.00 29725246.00 30051144.00 2896705.00 29442886.00 29522888.00 29548534.00 29213263.00 29537507.00 29579298.00 29516024.00 29418530.00 291
114514_t99999.00 26599999.00 26899999.00 28299999.00 29899999.00 30199999.00 29099999.00 30299999.00 29699999.00 29699999.00 29399999.00 29699999.00 29699999.00 29699999.00 29599999.00 293
PHI-MVS99999.00 26599999.00 26899999.00 28299999.00 29899999.00 30199999.00 29099999.00 30299999.00 29699999.00 29699999.00 29399999.00 29699999.00 29699999.00 29699999.00 29599999.00 293
MP-MVS-pluss833433.63 2671111219.60 27375.70 14574.28 14873.29 152284.50 15011.35 145238.58 15465.86 150255.35 16214.55 143115.69 16410000000.00 30131.94 14338.12 149
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MTAPA833442.10 2681111233.77 27467.09 14165.59 14764.81 151284.50 15010000000.00 307219.97 15359.62 149229.89 15712.72 142103.00 162203.67 16327.93 14233.46 141
XVG-OURS-SEG-HR999999.00 269999999.00 270999999.00 284999999.00 300999999.00 303999999.00 292999999.00 304999999.00 298999999.00 298999999.00 295999999.00 298999999.00 298999999.00 298999999.00 297999999.00 295
XVG-OURS999999.00 269999999.00 270999999.00 284999999.00 300999999.00 303999999.00 292999999.00 304999999.00 298999999.00 298999999.00 295999999.00 298999999.00 298999999.00 298999999.00 297999999.00 295
XVG-ACMP-BASELINE999999.00 269999999.00 270999999.00 284999999.00 300999999.00 303999999.00 292999999.00 304999999.00 298999999.00 298999999.00 295999999.00 298999999.00 298999999.00 298999999.00 297999999.00 295
dmvs_re10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
SDMVSNet10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
dmvs_testset10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
sd_testset10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
iter_conf_final10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
bld_raw_dy_0_6410000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
test250610000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
test111110000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
ECVR-MVScopyleft10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
test_blank10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
tt080510000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
Anonymous2024052110000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
cl2210000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
miper_ehance_all_eth10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
miper_enhance_ethall10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
cl____10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
DIV-MVS_self_test10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
eth_miper_zixun_eth10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
ET-MVSNet_ETH3D10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
UniMVSNet_ETH3D10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
miper_lstm_enhance10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
D2MVS10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
test_yl10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
thisisatest053010000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
Anonymous2024052910000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
Anonymous20240521110000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
DCV-MVSNet10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
tttt051710000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
our_test_310000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
thisisatest051510000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
ppachtmachnet_test10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
SMA-MVScopyleft10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
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 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
tfpnnormal10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
tfpn200view910000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
c3_l10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
IterMVS-SCA-FT10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
pmmvs610000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
pmmvs510000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
Anonymous2023121110000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
pmmvs-eth3d10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
Anonymous2023120610000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
SCA10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
Patchmatch-test10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
Patchmatch-RL test10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
canonicalmvs10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
anonymousdsp10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
FIs10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
FC-MVSNet-test10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
sosnet-low-res10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
AllTest10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
iter_conf0510000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
RRT_MVS10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
HPM-MVS++copyleft10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
XVS10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
pm-mvs110000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
X-MVStestdata10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
APDe-MVScopyleft10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
pmmvs410000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
test-LLR10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
TESTMET0.1,110000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
test-mter10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
testgi10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
test20.0310000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
thres600view710000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
MP-MVScopyleft10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
thres40010000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
test12310000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
thres20010000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
test0.0.03 110000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
pmmvs310000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
EMVS10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
E-PMN10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
PGM-MVS10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
MCST-MVS10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
MVS_Test10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
PMMVS210000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
PM-MVS10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
HQP_MVS10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
mPP-MVS10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
mvsmamba10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
HPM-MVS_fast10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
HPM-MVScopyleft10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
EPNet_dtu10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
NCCC10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
CP-MVS10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
CPTT-MVS10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
HQP-MVS10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
IS-MVSNet10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
PAPM_NR10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
PAPR10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
Vis-MVSNet (Re-imp)10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
PatchMatch-RL10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
TDRefinement10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
EPP-MVSNet10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
PMMVS10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
PAPM10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
ACMMPcopyleft10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
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 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
wuyk23d10000000.00 27210000000.00 27510000000.00 28710000000.00 30310000000.00 30610000000.00 29510000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
APD-MVScopyleft1000000000.00 3781000000000.00 3811000000000.00 3951000000000.00 4191000000000.00 4201000000000.00 4061000000000.00 4201000000000.00 4131000000000.00 4141000000000.00 4111000000000.00 4161000000000.00 4141000000000.00 4131000000000.00 4121000000000.00 410
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 2712465.14 27513996.40 277493.26 2497619.38 2782107.24 271
MSC_two_6792asdad2237.56 2562643.17 2712465.14 275493.26 2493088.29 2726075.14 2721078.39 2641159.26 262
PC_three_14527619.38 2782107.24 2717416.93 269610.24 2493088.29 2726075.14 2721078.39 2641159.26 262
No_MVS2237.56 2562643.17 2712465.14 275493.26 2493088.29 2726075.14 2721078.39 2641159.26 262
test_one_06012643.17 2712465.14 275493.26 2497619.38 2782107.24 2717416.93 269610.24 249
eth-test21.42 83
eth-test10000000.00 303
ZD-MVS1584.00 2401821.00 264378.00 2333721.00 2391231.00 2401833.00 221321.00 2231224.00 2332103.00 234692.00 230
RE-MVS-def610.10 172610.10 198610.10 212610.10 169610.10 264610.10 177610.10 211610.10 173610.10 247610.10 183610.10 220610.10 218
IU-MVS2725.60 2762598.35 281515.86 2577016.02 2712363.85 2755973.88 2681620.04 2761732.56 272
OPU-MVS2451.45 2642725.60 2762598.35 2819203.30 2576894.28 263887.23 2673023.43 2685973.88 2681620.04 2761732.56 272
test_241102_TWO515.86 2577016.02 2712363.85 2756894.28 263887.23 2673023.43 2685973.88 2681620.04 2761732.56 272
test_241102_ONE2725.60 2762598.35 281515.86 2577016.02 2712363.85 2756894.28 263887.23 2673023.43 268
9.140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
save fliter0.00 10.00 10.00 10.00 10.00 1
test_0728_THIRD5016.02 2531363.85 2454894.28 251387.23 2302023.43 2463973.88 251620.04 222732.56 227
test_0728_SECOND1451.45 2351725.60 2431598.35 2489203.30 257315.86 2242023.43 2463973.88 251620.04 222732.56 227
test07261725.60 2431598.35 2489203.30 257315.86 2245016.02 2531363.85 2454894.28 251387.23 230
GSMVS10000000.00 298
test_part210000000.00 30310000000.00 30610000000.00 301
sam_mvs110000000.00 30110000000.00 298
sam_mvs10000000.00 301
ambc999.00 217999.00 225999.00 231999.00 182999.00 280999.00 226999.00 192999.00 272999.00 222999.00 202999.00 256999.00 253
MTGPAbinary10000000.00 307
test_post110000000.00 29510000000.00 29810000000.00 30110000000.00 30110000000.00 301
test_post10000000.00 29810000000.00 30110000000.00 301
patchmatchnet-post10000000.00 29810000000.00 30110000000.00 301
GG-mvs-BLEND596.01 200611.29 200600.33 209790.30 173513.12 255552.71 204567.40 167662.54 259531.67 189503.93 176779.80 237656.02 221
MTMP10000000.00 29510000000.00 307
gm-plane-assit611.29 200600.33 209579.21 171567.40 167531.67 189503.93 176
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 28710000000.00 30310000000.00 30610000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
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 30310000000.00 306
plane_prior610000000.00 30310000000.00 30610000000.00 301
plane_prior510000000.00 30710000000.00 30110000000.00 30110000000.00 30010000000.00 298
plane_prior410000000.00 298
plane_prior310000000.00 30610000000.00 30110000000.00 301
plane_prior210000000.00 29510000000.00 301
plane_prior110000000.00 303
plane_prior1.00 782.00 1062.00 1072.00 105
n214.20 148
nn1.42 86
door-mid1.42 86
lessismore_v0569.20 198667.25 214644.68 21596.45 184428.86 1901514.17 217204.21 210756.58 2111061.60 211197.79 188306.34 200
LGP-MVS_train10000000.00 28710000000.00 30310000000.00 30610000000.00 30710000000.00 30110000000.00 30110000000.00 29810000000.00 30110000000.00 30110000000.00 30110000000.00 30010000000.00 298
test111.00 79
door99.00 188
HQP5-MVS10000000.00 306
HQP-NCC10000000.00 30310000000.00 29510000000.00 30110000000.00 301
ACMP_Plane10000000.00 30310000000.00 29510000000.00 30110000000.00 301
BP-MVS10000000.00 301
HQP4-MVS10000000.00 30110000000.00 30110000000.00 298
HQP3-MVS10000000.00 30710000000.00 300
HQP2-MVS10000000.00 301
NP-MVS10000000.00 30310000000.00 30610000000.00 298
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
ACMMP++_ref10000000.00 300
ACMMP++10000000.00 300
Test By Simon990.00 271
ITE_SJBPF2014.00 2541998.00 2541992.00 268701.00 2705989.00 2581812.00 2693612.00 239650.00 2532852.00 2664601.00 2601195.00 2691198.00 266
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