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
MM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf0.1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf0.01_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmvis_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsm_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_cas_vis1_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
mvsany_test10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
APD_test10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_rt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis3_rt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
mvsany_test30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testf10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
APD_test20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_f0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
SF-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
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-mvs330.30 360.30 370.30 410.30 480.30 480.30 480.30 490.30 480.30 470.30 450.30 470.30 480.30 460.30 460.30 46
hse-mvs20.30 360.30 370.30 410.30 480.30 480.30 480.30 490.30 480.30 470.30 450.30 470.30 480.30 460.30 460.30 46
CL-MVSNet_self_test0.30 360.30 370.30 410.30 480.30 480.30 480.30 490.30 480.30 470.30 450.30 470.30 480.30 460.30 460.30 46
AUN-MVS0.30 360.30 370.30 410.30 480.30 480.30 480.30 490.30 480.30 470.30 450.30 470.30 480.30 460.30 460.30 46
LCM-MVSNet0.37 400.36 410.37 450.37 520.37 520.37 520.32 530.37 520.37 510.37 490.37 510.37 520.37 500.37 500.37 50
v1441920.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v19219200.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v11920.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v11440.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v1480.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v7n0.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v12400.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v80.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v100.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
v2v4820.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
V420.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
GA-MVS0.40 410.40 420.40 460.40 530.40 530.40 530.40 550.40 530.40 520.40 500.40 520.40 530.40 510.40 510.40 51
Fast-Effi-MVS+0.41 530.40 420.41 580.41 650.41 650.41 650.35 540.41 650.41 640.41 620.41 640.41 650.41 630.41 630.41 63
Fast-Effi-MVS+-dtu0.44 540.44 550.44 590.44 660.44 660.44 660.44 670.44 660.44 650.44 630.44 650.44 660.44 640.44 640.44 64
Effi-MVS+0.58 550.56 560.62 620.53 670.62 690.53 670.53 680.53 670.62 680.62 660.53 660.62 690.62 660.53 650.62 67
Effi-MVS+-dtu0.59 560.61 580.53 600.68 740.53 670.53 670.68 750.68 740.53 660.53 640.68 730.53 670.68 720.53 650.53 65
KD-MVS_self_test0.60 570.60 570.60 610.60 680.60 680.60 690.60 690.60 680.60 670.60 650.60 670.60 680.60 650.60 670.60 66
EIA-MVS0.62 580.62 590.62 620.62 690.62 690.62 700.62 700.62 690.62 680.62 660.62 680.62 690.62 660.62 680.62 67
ETV-MVS0.62 580.62 590.62 620.62 690.62 690.62 700.62 700.62 690.62 680.62 660.62 680.62 690.62 660.62 680.62 67
CS-MVS0.62 580.62 590.62 620.62 690.62 690.62 700.62 700.62 690.62 680.62 660.62 680.62 690.62 660.62 680.62 67
SPE-MVS-test0.62 580.62 590.62 620.62 690.62 690.62 700.62 700.62 690.62 680.62 660.62 680.62 690.62 660.62 680.62 67
EC-MVSNet0.62 580.62 590.62 620.62 690.62 690.62 700.62 700.62 690.62 680.62 660.62 680.62 690.62 660.62 680.62 67
CDS-MVSNet0.88 630.88 640.88 680.88 750.88 750.88 750.88 760.88 750.88 740.88 720.88 740.88 750.88 730.88 730.88 73
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 630.88 640.88 680.88 750.88 750.88 750.88 760.88 750.88 740.88 720.88 740.88 750.88 730.88 730.88 73
LCM-MVSNet-Re0.89 650.89 660.89 700.89 770.89 770.89 770.89 780.89 770.89 760.89 740.89 760.89 770.89 750.89 750.89 75
MDA-MVSNet-bldmvs1.20 661.20 671.20 721.20 791.20 801.20 781.20 811.20 791.20 781.20 761.20 781.20 791.20 771.20 771.20 77
YYNet11.20 661.20 671.20 721.20 791.20 801.20 781.20 811.20 791.20 781.20 761.20 781.20 791.20 771.20 771.20 77
MDA-MVSNet_test_wron1.20 661.20 671.20 721.20 791.20 801.20 781.20 811.20 791.20 781.20 761.20 781.20 791.20 771.20 771.20 77
KD-MVS_2432*16001.30 691.30 701.30 751.30 821.30 831.30 811.30 841.30 821.30 811.30 791.30 811.30 821.30 801.30 801.30 80
miper_refine_blended1.30 691.30 701.30 751.30 821.30 831.30 811.30 841.30 821.30 811.30 791.30 811.30 821.30 801.30 801.30 80
EI-MVSNet-UG-set1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
EI-MVSNet-Vis-set1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
EI-MVSNet1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
Regformer1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
CVMVSNet1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
EU-MVSNet1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
PS-CasMVS1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
UniMVSNet_NR-MVSNet1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
PEN-MVS1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
TransMVSNet (Re)1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
DTE-MVSNet1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
DU-MVS1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
UniMVSNet (Re)1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
CP-MVSNet1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
WR-MVS_H1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
WR-MVS1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
NR-MVSNet1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
Baseline_NR-MVSNet1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
TranMVSNet+NR-MVSNet1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
MVSFormer1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
jason1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
jason: jason.
lupinMVS1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
test_djsdf1.42 711.42 721.42 771.42 841.42 851.42 831.42 861.42 841.42 831.42 811.42 831.42 841.42 821.42 821.42 82
reproduce_monomvs1.48 941.48 951.48 1001.48 1081.48 1081.48 1061.48 1111.48 1071.48 1061.48 1041.48 1061.48 1071.48 1051.48 1051.48 105
mmtdpeth1.48 941.48 951.48 1001.48 1081.48 1081.48 1061.48 1111.48 1071.48 1061.48 1041.48 1061.48 1071.48 1051.48 1051.48 105
reproduce_model1.48 941.48 951.48 1001.48 1081.48 1081.48 1061.48 1111.48 1071.48 1061.48 1041.48 1061.48 1071.48 1051.48 1051.48 105
reproduce-ours1.48 941.48 951.48 1001.48 1081.48 1081.48 1061.48 1111.48 1071.48 1061.48 1041.48 1061.48 1071.48 1051.48 1051.48 105
our_new_method1.48 941.48 951.48 1001.48 1081.48 1081.48 1061.48 1111.48 1071.48 1061.48 1041.48 1061.48 1071.48 1051.48 1051.48 105
mmdepth1.48 941.48 951.48 1001.48 1081.48 1081.48 1061.48 1111.48 1071.48 1061.48 1041.48 1061.48 1071.48 1051.48 1051.48 105
monomultidepth1.48 941.48 951.48 1001.48 1081.48 1081.48 1061.48 1111.48 1071.48 1061.48 1041.48 1061.48 1071.48 1051.48 1051.48 105
mvs5depth1.48 941.48 951.48 1001.48 1081.48 1081.48 1061.48 1111.48 1071.48 1061.48 1041.48 1061.48 1071.48 1051.48 1051.48 105
MVStest11.48 941.48 951.48 1001.48 1081.48 1081.48 1061.48 1111.48 1071.48 1061.48 1041.48 1061.48 1071.48 1051.48 1051.48 105
ttmdpeth1.48 941.48 951.48 1001.48 1081.48 1081.48 1061.48 1111.48 1071.48 1061.48 1041.48 1061.48 1071.48 1051.48 1051.48 105
alignmvs2.00 1042.00 1052.00 1102.00 1182.00 1182.00 1162.00 1212.00 1172.00 1162.00 1142.00 1162.00 1172.00 1152.00 1152.00 115
nrg0302.00 1042.00 1052.00 1102.00 1182.00 1182.00 1162.00 1212.00 1172.00 1162.00 1142.00 1162.00 1172.00 1152.00 1152.00 115
LFMVS2.00 1042.00 1052.00 1102.00 1182.00 1182.00 1162.00 1212.00 1172.00 1162.00 1142.00 1162.00 1172.00 1152.00 1152.00 115
VDD-MVS2.00 1042.00 1052.00 1102.00 1182.00 1182.00 1162.00 1212.00 1172.00 1162.00 1142.00 1162.00 1172.00 1152.00 1152.00 115
VDDNet2.00 1042.00 1052.00 1102.00 1182.00 1182.00 1162.00 1212.00 1172.00 1162.00 1142.00 1162.00 1172.00 1152.00 1152.00 115
VPNet2.00 1042.00 1052.00 1102.00 1182.00 1182.00 1162.00 1212.00 1172.00 1162.00 1142.00 1162.00 1172.00 1152.00 1152.00 115
VNet2.00 1042.00 1052.00 1102.00 1182.00 1182.00 1162.00 1212.00 1172.00 1162.00 1142.00 1162.00 1172.00 1152.00 1152.00 115
VPA-MVSNet2.00 1042.00 1052.00 1102.00 1182.00 1182.00 1162.00 1212.00 1172.00 1162.00 1142.00 1162.00 1172.00 1152.00 1152.00 115
cascas2.00 1042.00 1052.00 1102.00 1182.00 1182.00 1162.00 1212.00 1172.00 1162.00 1142.00 1162.00 1172.00 1152.00 1152.00 115
UnsupCasMVSNet_eth5.90 1135.90 1145.90 1195.90 1275.90 1275.90 1265.90 1335.90 1275.90 1255.90 1235.90 1275.90 1265.90 1245.90 1275.90 127
UnsupCasMVSNet_bld5.90 1135.90 1145.90 1195.90 1275.90 1275.90 1265.90 1335.90 1275.90 1255.90 1235.90 1275.90 1265.90 1245.90 1275.90 127
WTY-MVS5.90 1135.90 1145.90 1195.90 1275.90 1275.90 1265.90 1335.90 1275.90 1255.90 1235.90 1275.90 1265.90 1245.90 1275.90 127
HY-MVS5.90 15.90 1135.90 1145.90 1195.90 1275.90 1275.90 1265.90 1335.90 1275.90 1255.90 1235.90 1275.90 1265.90 1245.90 1275.90 127
sss5.90 1135.90 1145.90 1195.90 1275.90 1275.90 1265.90 1335.90 1275.90 1255.90 1235.90 1275.90 1265.90 1245.90 1275.90 127
Test_1112_low_res5.90 1135.90 1145.90 1195.90 1275.90 1275.90 1265.90 1335.90 1275.90 1255.90 1235.90 1275.90 1265.90 1245.90 1275.90 127
1112_ss5.90 1135.90 1145.90 1195.90 1275.90 1275.90 1265.90 1335.90 1275.90 1255.90 1235.90 1275.90 1265.90 1245.90 1275.90 127
ab-mvs-re5.90 1135.90 1145.90 1195.90 1275.90 1275.90 1265.90 1335.90 1275.90 1255.90 1235.90 1275.90 1265.90 1245.90 1275.90 127
ab-mvs5.90 1135.90 1145.90 1195.90 1275.90 1275.90 1265.90 1335.90 1275.90 1255.90 1235.90 1275.90 1265.90 1245.90 1275.90 127
CDPH-MVS6.66 1226.66 1236.66 1286.66 1366.66 1366.66 1356.66 1426.66 1366.66 1346.66 1326.66 1366.66 1356.66 1336.66 1366.66 136
xiu_mvs_v1_base_debu10.28 12310.28 12510.28 13010.28 13810.28 14010.28 13810.28 14510.28 13910.28 13810.28 13410.28 14010.28 13810.28 13610.28 13910.28 138
xiu_mvs_v2_base10.28 12310.28 12510.28 13010.28 13810.28 14010.28 13810.28 14510.28 13910.28 13810.28 13410.28 14010.28 13810.28 13610.28 13910.28 138
xiu_mvs_v1_base10.28 12310.28 12510.28 13010.28 13810.28 14010.28 13810.28 14510.28 13910.28 13810.28 13410.28 14010.28 13810.28 13610.28 13910.28 138
xiu_mvs_v1_base_debi10.28 12310.28 12510.28 13010.28 13810.28 14010.28 13810.28 14510.28 13910.28 13810.28 13410.28 14010.28 13810.28 13610.28 13910.28 138
cdsmvs_eth3d_5k10.28 12310.28 12510.28 13010.28 13810.28 14010.28 13810.28 14510.28 13910.28 13810.28 13410.28 14010.28 13810.28 13610.28 13910.28 138
pcd_1.5k_mvsjas10.28 12310.28 12510.28 13010.28 13810.28 14010.28 13810.28 14510.28 13910.28 13810.28 13410.28 14010.28 13810.28 13610.28 13910.28 138
PS-MVSNAJss10.28 12310.28 12510.28 13010.28 13810.28 14010.28 13810.28 14510.28 13910.28 13810.28 13410.28 14010.28 13810.28 13610.28 13910.28 138
PS-MVSNAJ10.28 12310.28 12510.28 13010.28 13810.28 14010.28 13810.28 14510.28 13910.28 13810.28 13410.28 14010.28 13810.28 13610.28 13910.28 138
jajsoiax10.28 12310.28 12510.28 13010.28 13810.28 14010.28 13810.28 14510.28 13910.28 13810.28 13410.28 14010.28 13810.28 13610.28 13910.28 138
mvs_tets10.28 12310.28 12510.28 13010.28 13810.28 14010.28 13810.28 14510.28 13910.28 13810.28 13410.28 14010.28 13810.28 13610.28 13910.28 138
SR-MVS-dyc-post11.55 13311.55 13511.55 14211.55 14911.55 15111.55 14811.55 15711.55 14911.55 14911.55 14411.55 15111.55 14811.55 14611.55 14911.55 148
XXY-MVS15.00 13415.00 13615.00 14315.00 15015.00 15315.00 14915.00 15915.00 15015.00 15115.00 14515.00 15515.00 15015.00 14815.00 15115.00 150
test_method18.29 13520.89 13710.50 14015.00 15013.00 15255.00 1553.00 13134.00 15211.50 14832.50 1465.00 12613.50 14927.00 1505.00 1265.00 126
GeoE19.41 13622.09 13811.37 14117.21 15211.30 15050.50 1544.30 13233.60 15111.70 15044.50 1517.30 13718.90 15122.60 1497.10 1373.90 124
BH-w/o40.00 13740.00 13940.00 14540.00 15340.00 15440.00 15040.00 17740.00 15340.00 15340.00 14740.00 17240.00 15340.00 15140.00 16540.00 161
BH-untuned40.00 13740.00 13940.00 14540.00 15340.00 15440.00 15040.00 17740.00 15340.00 15340.00 14740.00 17240.00 15340.00 15140.00 16540.00 161
BH-RMVSNet40.00 13740.00 13940.00 14540.00 15340.00 15440.00 15040.00 17740.00 15340.00 15340.00 14740.00 17240.00 15340.00 15140.00 16540.00 161
TR-MVS40.00 13740.00 13940.00 14540.00 15340.00 15440.00 15040.00 17740.00 15340.00 15340.00 14740.00 17240.00 15340.00 15140.00 16540.00 161
GBi-Net44.67 14149.24 14330.96 14447.53 15747.57 158126.09 1568.00 14376.99 15726.09 15273.50 15311.27 15030.55 15261.12 15512.58 15014.75 149
dp87.20 142113.80 1467.42 12910.50 1488.88 137298.82 1632.70 130510.35 1817.79 135172.93 1563.37 1259.16 13614.00 1473.71 1254.23 125
new_pmnet88.14 14398.62 14456.70 14998.14 16456.07 159246.79 15815.37 160148.06 15850.77 157143.13 15423.35 15662.65 15793.26 15668.71 17451.38 171
N_pmnet88.14 14398.62 14456.70 14998.14 16456.07 159246.79 15815.37 160148.06 15850.77 157143.13 15423.35 15662.65 15793.26 15668.71 17451.38 171
CANet110.62 145124.04 14770.34 15282.03 16174.27 164325.54 16425.25 163207.16 16069.28 162194.38 15727.53 15895.79 166147.76 16037.43 15540.97 165
CANet_DTU110.62 145124.04 14770.34 15282.03 16174.27 164325.54 16425.25 163207.16 16069.28 162194.38 15727.53 15895.79 166147.76 16037.43 15540.97 165
UGNet110.62 145124.04 14770.34 15282.03 16174.27 164325.54 16425.25 163207.16 16069.28 162194.38 15727.53 15895.79 166147.76 16037.43 15540.97 165
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 148133.18 15075.70 15574.28 15973.29 162284.50 16011.35 155238.58 16465.86 160255.35 17214.55 153115.69 174222.18 17431.94 15338.12 159
FMVSNet5124.76 149140.93 15176.26 157107.44 167100.17 171329.88 16727.12 169259.44 16974.30 165204.34 16030.74 16192.41 159196.98 16338.15 15836.19 152
test1124.76 149140.93 15176.26 157107.44 167100.17 171329.88 16727.12 169259.44 16974.30 165204.34 16030.74 16192.41 159196.98 16338.15 15836.19 152
FMVSNet3124.76 149140.93 15176.26 157107.44 167100.17 171329.88 16727.12 169259.44 16974.30 165204.34 16030.74 16192.41 159196.98 16338.15 15836.19 152
FMVSNet2124.76 149140.93 15176.26 157107.44 167100.17 171329.88 16727.12 169259.44 16974.30 165204.34 16030.74 16192.41 159196.98 16338.15 15836.19 152
FMVSNet1124.76 149140.93 15176.26 157107.44 167100.17 171329.88 16727.12 169259.44 16974.30 165204.34 16030.74 16192.41 159196.98 16338.15 15836.19 152
MIMVSNet1124.76 149140.93 15176.26 157107.44 167100.17 171329.88 16727.12 169259.44 16974.30 165204.34 16030.74 16192.41 159196.98 16338.15 15836.19 152
MIMVSNet124.76 149140.93 15176.26 157107.44 167100.17 171329.88 16727.12 169259.44 16974.30 165204.34 16030.74 16192.41 159196.98 16338.15 15836.19 152
DSMNet-mixed131.33 156143.00 15896.33 16799.00 16681.00 167201.00 15745.00 182335.00 17699.00 175251.00 17138.00 171110.00 173120.00 15999.00 18098.00 176
PVSNet_Blended_VisFu136.90 157155.40 15981.40 164111.00 17496.20 168407.00 17425.90 166251.60 16685.10 172240.50 16837.00 16899.90 169199.80 17040.70 16948.10 168
PVSNet_BlendedMVS136.90 157155.40 15981.40 164111.00 17496.20 168407.00 17425.90 166251.60 16685.10 172240.50 16837.00 16899.90 169199.80 17040.70 16948.10 168
PVSNet_Blended136.90 157155.40 15981.40 164111.00 17496.20 168407.00 17425.90 166251.60 16685.10 172240.50 16837.00 16899.90 169199.80 17040.70 16948.10 168
BP-MVS1202.65 160232.15 162114.16 168183.40 178141.78 178655.87 18224.69 162372.56 177109.76 176356.89 17447.15 176139.51 176284.15 17654.86 17261.20 173
FE-MVS207.10 161234.26 163125.61 169180.34 177153.23 179635.64 18130.05 176378.38 178127.68 177377.08 17548.95 177154.43 177266.67 17563.56 17369.18 174
FA-MVS(test-final)261.15 162293.29 164164.72 170236.23 181199.99 184800.05 18842.35 181475.87 180155.47 178470.67 17758.49 178205.24 179319.44 17781.03 17788.93 175
DP-MVS264.78 163296.02 165171.04 172191.70 179183.96 181827.10 18978.36 191438.24 179176.64 180435.12 17665.04 180230.52 182334.02 178117.96 18798.64 177
kuosan267.89 164301.05 166168.41 171244.05 182177.28 180667.98 18365.76 184533.41 182157.79 179492.01 178104.69 193226.72 180364.47 18079.31 176101.21 178
WB-MVS316.44 165357.41 167193.51 174257.06 183213.32 186914.45 19049.03 183600.77 188186.42 182634.00 18975.03 183251.35 184411.39 18188.55 178115.87 180
SSC-MVS320.23 166364.09 168188.66 173260.78 184193.84 182975.93 19673.11 189596.72 187185.29 181589.02 18474.47 182246.01 183427.42 18394.06 179126.12 181
testing91347.05 167389.92 169218.43 176275.92 187241.43 188923.71 19271.70 185667.65 193217.04 186629.00 187113.33 196281.39 186495.50 186115.45 183132.47 183
testing11348.86 168393.09 170216.15 175275.24 186239.53 187915.55 19172.35 186679.89 194215.75 185633.79 188118.08 197276.62 185509.56 194117.61 186132.30 182
dongtai360.45 169401.64 171236.89 179303.10 189262.16 194963.12 19372.78 187622.82 191199.37 183708.06 192130.96 200310.90 189506.46 193108.11 181137.60 186
Syy-MVS370.76 170415.60 173236.25 178310.54 190210.76 185965.13 19498.58 205746.06 199266.26 192788.85 19891.37 187364.76 195357.17 179116.42 184133.22 184
tmp_tt371.08 171412.78 172246.00 182231.00 180197.00 1831293.00 214376.00 253756.00 201609.00 23171.00 152106.00 194195.00 178102.00 158171.00 202346.00 227
UWE-MVS387.98 172438.66 175235.93 177349.32 195257.61 1921081.50 20482.45 195637.74 192257.12 190738.54 194134.25 201308.00 187531.93 196135.11 189142.17 187
myMVS_eth3d390.90 173437.44 174251.28 184310.54 190255.86 191965.13 19498.58 205746.06 199266.26 192788.85 198154.95 207364.76 195490.19 185116.42 184133.22 184
RPSCF394.81 174445.63 176242.35 180276.55 188253.63 1901207.27 21190.69 199715.56 195241.57 189684.87 190111.96 195320.02 190548.38 198133.81 188153.39 191
WB-MVSnew404.84 175458.00 177245.36 181374.70 198320.27 2001193.74 21072.90 188773.77 202238.30 187688.22 19190.05 186308.59 188532.76 197157.54 196107.21 179
testing99408.82 176462.15 178248.86 183322.45 192269.42 1951118.93 20773.26 190719.36 197262.28 191772.10 195150.98 206327.08 191601.98 201137.99 190150.07 189
testing3418.10 177469.06 179265.23 186335.69 193290.63 1971240.88 21293.72 200717.99 196215.31 184811.97 204232.41 236358.74 194458.67 184114.88 182146.32 188
testing222430.52 178487.50 182259.56 185379.87 202282.69 1961138.34 20881.30 193880.86 206281.58 195834.27 206135.83 203333.22 192514.90 195140.56 191162.76 192
EG-PatchMatch MVS437.03 179493.12 183268.77 187264.80 185260.20 1931491.80 21798.00 204723.20 198238.80 188722.40 19363.10 179382.00 199629.00 205207.00 210164.10 195
ADS-MVSNet2443.33 180482.84 180324.79 197434.94 210387.73 2081110.57 20587.69 197887.02 207282.92 196779.29 19698.57 191422.76 206502.40 187162.19 200163.87 193
ADS-MVSNet443.33 180482.84 180324.79 197434.94 210387.73 2081110.57 20587.69 197887.02 207282.92 196779.29 19698.57 191422.76 206502.40 187162.19 200163.87 193
ETVMVS443.50 182498.07 184279.78 188378.05 201321.57 2011163.68 20987.12 196897.50 209269.81 194822.83 205141.20 205334.53 193568.21 200154.21 192183.26 199
MVP-Stereo473.58 183533.67 185293.33 189376.00 199318.00 1981461.00 21596.00 201835.00 204290.00 199804.00 20197.00 189383.00 201688.00 212156.00 193179.00 197
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 183533.67 185293.33 189376.00 199318.00 1981461.00 21596.00 201835.00 204290.00 199804.00 20197.00 189383.00 201688.00 212156.00 193179.00 197
PatchmatchNetpermissive492.52 185551.22 187316.40 195400.20 206357.90 2061277.10 213115.80 2121034.60 218315.90 202874.00 207155.10 208402.20 204629.50 206158.80 197189.10 200
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmvs501.65 186567.42 188304.33 192395.39 205356.32 2051512.04 218216.53 240994.15 211350.16 206804.16 203119.38 198380.98 198555.14 199159.87 198175.69 196
DELS-MVS514.57 187587.73 190295.12 191343.03 194328.09 2031540.48 219116.22 213988.59 210325.44 204906.22 208119.86 199365.72 197788.60 215161.09 199191.55 202
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 188581.17 189321.48 196361.02 196429.00 2121995.36 22478.48 192796.20 203283.32 198796.02 20096.78 188382.98 200636.72 207186.66 207152.46 190
gg-mvs-nofinetune594.69 189605.37 191562.67 218617.29 226500.33 216772.30 184413.12 261579.21 183552.71 225567.40 179662.54 280531.67 210503.93 189779.80 258656.02 242
SR-MVS610.10 190610.10 192610.10 223610.10 220610.10 233610.10 179610.10 285610.10 189610.10 232610.10 185610.10 268610.10 226610.10 202610.10 241610.10 239
CR-MVSNet612.36 191617.81 194596.01 221611.29 222600.33 230790.30 185513.12 276579.21 183552.71 225567.40 179662.54 280531.67 210503.93 189779.80 258656.02 242
IterMVS615.05 192691.66 195385.23 201516.40 213454.80 2131863.80 222102.10 2091142.20 220364.10 2071093.20 222135.00 202480.40 209826.90 216181.20 204220.50 205
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 193700.96 196362.78 199426.10 209409.25 2101822.69 221124.42 2231186.23 221366.85 2081079.42 220190.60 224451.78 208930.72 220181.59 205227.30 206
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
WBMVS655.88 194770.84 199310.98 194391.79 204353.00 2042280.68 22699.17 2081776.79 241301.20 2011123.23 223187.34 222390.28 203620.39 204156.98 195189.66 201
ACMH+729.97 2661.38 195754.00 197383.51 200368.96 197376.38 2072483.74 23882.42 1941089.25 219333.39 2051219.68 22466.53 181573.60 223957.86 221184.14 206200.56 204
UBG667.82 196787.71 200308.16 193385.94 203327.65 2021718.51 220117.00 2141942.46 246317.12 2031488.73 237183.89 214404.82 205763.70 214172.02 203192.01 203
Gipumacopyleft689.75 197767.00 198458.00 210613.00 225549.00 2281943.00 223187.00 2371230.00 222518.00 2221092.00 221203.00 230564.00 215892.00 219225.00 220261.00 214
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
IterMVS-LS758.94 198856.56 203466.10 211606.60 218546.80 2262309.90 227122.20 2221402.80 226463.50 2121348.20 226192.60 225574.60 2241028.60 231234.60 222276.90 216
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
new-patchmatchnet766.12 199859.03 204487.38 214595.68 215536.14 2182346.27 228142.51 2281488.08 228422.43 2091361.32 228163.65 211628.60 2281003.74 230207.61 211297.41 220
SixPastTwentyTwo773.62 200869.37 206486.35 213603.45 217547.15 2272532.14 239106.92 2111434.95 227428.08 2101360.56 227165.15 212628.96 229984.09 222209.01 212282.94 217
mvs_anonymous774.90 201882.28 207452.77 203636.50 227537.20 2192348.80 229120.30 2151504.30 229474.40 2131371.10 229186.90 215564.70 2161078.90 233219.30 213256.40 207
casdiffmvspermissive774.90 201882.28 207452.77 203636.50 227537.20 2192348.80 229120.30 2151504.30 229474.40 2131371.10 229186.90 215564.70 2161078.90 233219.30 213256.40 207
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 201882.28 207452.77 203636.50 227537.20 2192348.80 229120.30 2151504.30 229474.40 2131371.10 229186.90 215564.70 2161078.90 233219.30 213256.40 207
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 201882.28 207452.77 203636.50 227537.20 2192348.80 229120.30 2151504.30 229474.40 2131371.10 229186.90 215564.70 2161078.90 233219.30 213256.40 207
baseline1774.90 201882.28 207452.77 203636.50 227537.20 2192348.80 229120.30 2151504.30 229474.40 2131371.10 229186.90 215564.70 2161078.90 233219.30 213256.40 207
casdiffmvs_mvgpermissive774.90 201882.28 207452.77 203636.50 227537.20 2192348.80 229120.30 2151504.30 229474.40 2131371.10 229186.90 215564.70 2161078.90 233219.30 213256.40 207
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 201882.28 207452.77 203636.50 227537.20 2192348.80 229120.30 2151504.30 229474.40 2131371.10 229186.90 215564.70 2161078.90 233219.30 213256.40 207
RPMNet787.26 208829.13 201661.63 227885.90 242895.90 250455.98 177610.10 2851297.17 2231002.26 2541001.67 218655.98 278611.10 227667.90 209885.21 270477.90 236
JIA-IIPM804.30 209835.64 202710.26 232885.90 242895.90 250455.98 177668.73 2901297.17 2231002.26 2541001.67 218655.98 278756.98 233667.90 209885.21 270477.90 236
CSCG826.03 210963.29 215414.24 202421.52 208426.11 2112230.35 225179.52 2361827.44 242733.43 242933.12 210281.25 238545.23 2141800.35 250262.64 224271.38 215
PVSNet1207.94 6829.56 211937.18 214506.69 215645.55 234585.72 2292477.98 237130.52 2241578.29 237509.50 2211460.01 236194.90 226637.19 2301170.78 241267.07 226297.17 219
PatchT856.34 212860.99 205842.38 2371290.90 257880.90 248790.30 1851267.30 308579.21 183923.90 244567.40 179662.54 280990.23 241887.56 218779.80 258656.02 242
K. test v3877.74 213980.16 216570.46 2201316.85 259813.15 2452565.52 240103.78 2101509.49 236548.33 2241258.90 225219.93 235587.82 2251102.37 240196.30 208310.42 222
MVSTER890.06 2141005.91 223542.52 216736.13 239653.90 2372616.56 241145.22 2301692.10 240555.69 2281554.72 239266.25 237660.02 2311219.66 242266.84 225313.64 223
PMVScopyleft863.65 3957.08 2151054.11 224666.00 229401.00 207495.00 2153790.00 246279.00 2421607.00 239521.00 2231745.00 24190.00 1841105.00 252639.00 208415.00 237398.00 234
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ACMH993.80 5967.92 2161106.11 226553.33 217494.00 212534.00 2173581.00 244136.00 2251585.00 238478.00 2201871.00 24390.00 184839.00 2351460.00 244260.00 223287.00 218
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet_01661.03 9968.54 2171066.82 225673.70 230706.94 237695.69 2382669.02 242153.52 2322108.17 248605.54 2301679.14 240213.26 234886.75 2381236.76 243229.01 221438.67 235
OurMVSNet-221017-0999.00 218999.00 217999.00 238999.00 247999.00 252999.00 197999.00 301999.00 212999.00 247999.00 211999.00 293999.00 243999.00 223999.00 277999.00 274
EPMVS999.00 218999.00 217999.00 238999.00 247999.00 252999.00 197999.00 301999.00 212999.00 247999.00 211999.00 293999.00 243999.00 223999.00 277999.00 274
uanet_test1000.00 2201000.00 2191000.00 2411000.00 2501000.00 2551000.00 2001000.00 3041000.00 2141000.00 2501000.00 2141000.00 2961000.00 2461000.00 2261000.00 2801000.00 277
sosnet1000.00 2201000.00 2191000.00 2411000.00 2501000.00 2551000.00 2001000.00 3041000.00 2141000.00 2501000.00 2141000.00 2961000.00 2461000.00 2261000.00 2801000.00 277
USDC1000.00 2201000.00 2191000.00 2411000.00 2501000.00 2551000.00 2001000.00 3041000.00 2141000.00 2501000.00 2141000.00 2961000.00 2461000.00 2261000.00 2801000.00 277
TinyColmap1000.00 2201000.00 2191000.00 2411000.00 2501000.00 2551000.00 2001000.00 3041000.00 2141000.00 2501000.00 2141000.00 2961000.00 2461000.00 2261000.00 2801000.00 277
ACMP1246.57 71086.24 2241235.17 228639.45 224596.53 216639.91 2353904.24 247152.04 2311851.54 243566.58 2291997.95 245138.50 204938.30 2391605.46 246303.70 232340.14 225
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Patchmtry1090.75 2251198.88 227766.38 2361290.90 257485.90 2142423.98 2361267.30 3081297.17 223923.90 244923.40 2091215.54 301990.23 241667.90 209779.80 258823.02 256
test_04021110.00 2261260.00 229660.00 226900.00 245780.00 2443300.00 243210.00 2392040.00 247690.00 2371950.00 244300.00 241810.00 2341620.00 247330.00 233390.00 233
MVS_111021_LR1136.45 2271298.72 230649.64 225756.17 240726.26 2413785.94 245138.15 2272190.64 249629.63 2352064.39 246165.45 213874.83 2371678.43 249279.70 227347.82 228
ACMM1311.08 81165.06 2281332.72 231662.07 228584.90 214715.99 2404373.59 251153.99 2331880.27 244709.02 2392316.97 247188.63 223939.89 2401484.30 245302.78 231330.34 224
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++1242.93 2291411.08 232738.48 234712.71 238712.68 2394168.17 249136.50 2262276.40 250613.28 2342368.60 250161.61 2101130.38 2531964.54 253297.88 229372.39 230
MG-MVS1256.50 2301432.00 233730.00 233610.00 219760.00 2424720.00 252169.00 2341920.00 245723.00 2412510.00 253201.00 2281050.00 2501645.00 248390.00 236380.00 231
ACMMPR1296.60 2311480.82 234743.96 235899.25 244763.47 2434305.47 250143.90 2292530.94 253683.99 2362346.34 249201.65 2291098.25 2511920.59 252295.21 228370.16 229
TSAR-MVS + GP.1386.84 2321622.84 236678.81 231952.13 246840.17 2475358.21 255170.75 2352650.47 254713.54 2402394.28 251209.42 233855.56 2361854.36 251302.42 230340.71 226
FPMVS1407.00 2331495.59 2351141.23 246648.01 235893.85 2494124.00 248503.81 2753219.04 256742.72 2432498.84 252157.98 2091727.83 259832.93 217732.98 257802.00 251
DeepC-MVS_fast2190.19 121535.59 2341886.82 238481.89 212847.73 241830.16 2467943.84 271189.23 2382398.83 251691.73 2382341.13 248209.16 232230.25 1811999.25 254360.46 234385.25 232
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 2351869.33 2371025.33 2451030.00 2541023.00 2595311.00 254359.00 2513044.00 255937.00 2462892.00 254332.00 2451440.00 2562312.00 256607.00 240613.00 241
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 2362113.11 2391173.33 2491231.00 2551174.00 2606297.00 257392.00 2563356.00 2581087.00 2563082.00 255361.00 2491670.00 2582523.00 258689.00 247676.00 246
OpenMVS_ROBcopyleft1936.51 101959.51 2372224.88 2411163.39 2481253.91 2561434.22 2637065.71 261272.76 2412472.29 2521647.54 2863538.72 258200.37 2271496.48 2572575.17 259997.45 276559.48 238
CMPMVSbinary2623.62 151983.08 2382156.14 2401463.89 2591414.80 2611517.00 2655239.20 253867.40 2953310.30 2571128.70 2583489.90 257366.75 2502030.20 2702427.60 2571160.60 289844.46 259
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MVS-HIRNet2125.39 2392452.68 2421143.53 2472938.33 3021446.92 2646083.19 256391.74 2553801.71 2611202.10 2603439.72 256492.73 2591304.35 2553048.25 263676.32 246679.32 247
PLCcopyleft2858.82 162192.92 2402474.00 2431349.67 2511407.00 2601356.00 2627164.00 262475.00 2683970.00 2621237.00 2633765.00 261451.00 2561891.00 2643006.00 262791.00 263802.00 251
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVScopyleft2352.88 132263.08 2412530.89 2441459.67 2581767.00 2721591.00 2687932.00 270399.00 2573643.00 2591176.00 2593569.00 259297.00 2401927.00 2663302.00 264693.00 252861.00 260
PCF-MVS4335.85 202272.23 2422597.03 2451297.84 2501701.20 2641332.37 2618105.11 272451.45 2644031.84 2631099.10 2573966.50 262467.45 2571734.05 2602701.68 261848.94 267827.11 257
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x4202340.81 2432643.03 2461434.14 2522025.55 2811629.36 2726542.40 258412.49 2584219.70 2651547.02 2744328.52 264650.74 2751798.26 2613333.17 265727.72 254874.79 261
CHOSEN 1792x26882340.81 2432643.03 2461434.14 2522025.55 2811629.36 2726542.40 258412.49 2584219.70 2651547.02 2744328.52 264650.74 2751798.26 2613333.17 265727.72 254874.79 261
HyFIR lowres test2340.81 2432643.03 2461434.14 2522025.55 2811629.36 2726542.40 258412.49 2584219.70 2651547.02 2744328.52 264650.74 2751798.26 2613333.17 265727.72 254874.79 261
3Dnovator2482.06 142531.17 2462839.56 2491606.00 2601732.00 2681557.00 2678375.00 274483.00 2694370.00 2681371.00 2694200.00 263350.00 2472207.00 2713877.00 271798.00 2641054.00 281
tpmrst2557.50 2472847.12 2501688.66 2631784.08 2731778.25 2827445.50 268342.14 2484471.54 2691534.55 2734382.10 267530.10 2632361.21 2744142.81 275991.22 275926.51 266
AdaColmapbinary2570.77 2482948.61 2511437.24 2551873.64 2741526.60 2667819.77 269373.97 2524970.45 2721479.29 2714648.46 269525.80 2621904.97 2654150.42 276695.69 253880.14 264
SD-MVS2654.53 2493055.56 2541451.45 2561725.60 2651598.35 2699203.30 278315.86 2455016.02 2741363.85 2664894.28 272387.23 2512023.43 2673973.88 272620.04 243732.56 248
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 2503021.57 2521618.12 2612377.67 2881751.39 2818915.70 277567.44 2834569.74 2701236.84 2624615.63 268513.23 2602291.32 2723515.48 268882.39 269811.66 253
LF4IMVS2699.50 2513049.67 2531649.00 2621755.00 2691689.00 2768330.00 273464.00 2664997.00 2731528.00 2724763.00 271568.00 2662296.00 2734215.00 277827.00 266962.00 271
EGC-MVSNET2819.75 2523096.89 2551988.33 2733105.00 3032241.00 2939480.00 282640.00 2894209.00 2641583.00 2794740.00 270547.00 2652797.00 2862644.00 260924.00 273927.00 267
Vis-MVSNetpermissive2877.42 2533170.00 2561999.67 2741673.00 2632042.00 2918593.00 275474.00 2676452.00 2871268.00 2645125.00 275339.00 2463004.00 2884222.00 278384.00 235953.00 270
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2891.50 2543284.78 2571711.67 2641954.00 2751655.00 27510117.00 291445.00 2635102.00 2771375.00 2705126.00 276351.00 2482638.00 2844402.00 279691.00 250842.00 258
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 2553537.00 2581975.67 2712310.00 2862005.00 29010100.00 290626.00 2885753.00 2781803.00 2895179.00 277487.00 2582622.00 2824550.00 2801025.00 2841300.00 288
DeepC-MVS3917.13 193155.06 2563601.83 2591814.72 2692515.52 2911941.53 28610432.50 292589.42 2844789.45 2711298.65 2657677.31 293578.35 2672589.53 2783611.78 270923.52 272913.10 265
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 2573762.89 2601783.33 2671756.00 2701806.00 28312319.00 294307.00 2436319.00 2851557.00 2775763.00 278302.00 2422609.00 2805061.00 283482.00 238935.00 268
OPM-MVS3268.00 2573762.89 2601783.33 2671756.00 2701806.00 28312319.00 294307.00 2436319.00 2851557.00 2775763.00 278302.00 2422609.00 2805061.00 283482.00 238935.00 268
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TAPA-MVS6309.84 213374.90 2593806.99 2622078.63 2762535.47 2922499.25 3018816.16 276456.05 2656255.60 2841664.52 2876704.88 283629.95 2732768.38 2856343.93 297856.35 268968.25 272
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 2604065.89 2671914.35 2702349.10 2872141.30 29212362.70 296417.60 2626717.80 2911759.40 2886497.50 281518.18 2612629.38 2835164.32 285806.40 265972.38 273
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
tpm23617.85 2614007.23 2632449.73 2812012.71 2771698.05 2777351.19 264869.29 2966132.06 2801588.28 2808007.42 2961281.09 3023888.11 3007472.04 3011351.00 2911763.02 297
tpm cat13617.85 2614007.23 2632449.73 2812012.71 2771698.05 2777351.19 264869.29 2966132.06 2801588.28 2808007.42 2961281.09 3023888.11 3007472.04 3011351.00 2911763.02 297
CostFormer3617.85 2614007.23 2632449.73 2812012.71 2771698.05 2777351.19 264869.29 2966132.06 2801588.28 2808007.42 2961281.09 3023888.11 3007472.04 3011351.00 2911763.02 297
tpm3617.85 2614007.23 2632449.73 2812012.71 2771698.05 2777351.19 264869.29 2966132.06 2801588.28 2808007.42 2961281.09 3023888.11 3007472.04 3011351.00 2911763.02 297
MVS_111021_HR3742.80 2654330.34 2681980.20 2722484.31 2902259.52 29414973.80 301515.90 2826500.13 2881949.21 2916146.89 280535.66 2642593.66 2794880.76 282986.37 2741087.43 282
MAR-MVS3973.16 2664387.92 2692728.86 2873345.27 3043341.39 30811403.90 293798.76 2936555.62 2902569.29 3016514.86 282834.97 2873237.43 2975891.08 2881577.54 2961607.76 289
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 2674731.32 2721730.42 2652191.51 2841949.98 28716473.90 303355.33 2497172.90 2961622.98 2847879.79 294434.33 2542428.11 2765762.12 286689.04 248813.18 254
DVP-MVScopyleft3981.10 2674731.32 2721730.42 2652191.51 2841949.98 28716473.90 303355.33 2497172.90 2961622.98 2847879.79 294434.33 2542428.11 2765762.12 286689.04 248813.18 254
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 2694533.33 2702400.00 2802400.00 2892400.00 2957200.00 2632400.00 3127200.00 2982400.00 3007200.00 2882400.00 3062400.00 2757200.00 2992400.00 3032400.00 302
SED-MVS4062.74 2704671.13 2712237.56 2772643.17 2932465.14 29613996.40 298493.26 2707619.38 2992107.24 2927416.93 290610.24 2703088.29 2936075.14 2931078.39 2851159.26 283
MSP-MVS4296.20 2714911.12 2752451.45 2852725.60 2982598.35 30216203.30 302515.86 2787016.02 2922363.85 2966894.28 284887.23 2883023.43 2895973.88 2891620.04 2971732.56 293
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 2724906.56 2742803.67 2883844.00 3053116.00 30713454.00 297901.00 3006511.00 2892794.00 3027365.00 289754.00 2843634.00 2986622.00 2981914.00 3021661.00 292
OMC-MVS5022.26 2735748.82 2762842.58 2894905.27 3073101.27 30614933.60 300812.24 2949278.40 3032959.29 3038800.17 3001092.24 3003806.30 2997568.54 3051389.60 2951620.18 291
CLD-MVS7338.25 2748341.00 2774330.00 2904902.00 3064991.00 30923318.00 306728.00 29214437.00 3134378.00 30513379.00 308824.00 2865708.00 30411429.00 3141674.00 3012291.00 301
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 2758776.23 2784410.16 2915298.55 3085631.53 31034329.90 3081504.57 31011554.00 3123896.41 30415111.00 309812.19 2855985.63 3053516.20 2692963.23 3041613.31 290
ZNCC-MVS9999.00 2769999.00 2799999.00 2939999.00 3119999.00 3139999.00 2839999.00 3169999.00 3049999.00 3089999.00 3019999.00 3099999.00 3069999.00 3069999.00 3079999.00 305
patch_mono-210000.00 27710000.00 28010000.00 29410000.00 31210000.00 31410000.00 28410000.00 31710000.00 30510000.00 30910000.00 30210000.00 31010000.00 30710000.00 30710000.00 30810000.00 306
dcpmvs_210000.00 27710000.00 28010000.00 29410000.00 31210000.00 31410000.00 28410000.00 31710000.00 30510000.00 30910000.00 30210000.00 31010000.00 30710000.00 30710000.00 30810000.00 306
DCPMVS10000.00 27710000.00 28010000.00 29410000.00 31210000.00 31410000.00 28410000.00 31710000.00 30510000.00 30910000.00 30210000.00 31010000.00 30710000.00 30710000.00 30810000.00 306
UA-Net10000.00 27710000.00 28010000.00 29410000.00 31210000.00 31410000.00 28410000.00 31710000.00 30510000.00 30910000.00 30210000.00 31010000.00 30710000.00 30710000.00 30810000.00 306
uncertanet10000.00 27710000.00 28010000.00 29410000.00 31210000.00 31410000.00 28410000.00 31710000.00 30510000.00 30910000.00 30210000.00 31010000.00 30710000.00 30710000.00 30810000.00 306
uanet10000.00 27710000.00 28010000.00 29410000.00 31210000.00 31410000.00 28410000.00 31710000.00 30510000.00 30910000.00 30210000.00 31010000.00 30710000.00 30710000.00 30810000.00 306
MVEpermissive10021.00 2210550.67 28310002.44 28612195.33 3006242.00 3098768.00 31230896.00 3074451.00 31310331.00 3116247.00 30618296.00 310283.00 23921484.00 3147364.00 3005912.00 3066334.00 304
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 28411772.44 2877637.33 2929120.00 3108206.00 31122252.00 3052010.00 31124984.00 3147458.00 30722596.00 3112940.00 30710260.00 31311100.00 3133492.00 3054446.00 303
LTVRE_ROB20565.47 2323378.08 28522805.00 28825097.33 30115500.00 31819201.00 32042712.00 3096055.00 31438388.00 31516926.00 31538534.00 3127071.00 30835653.00 31529475.00 31510584.00 31420438.00 313
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 28634443.44 28927094.33 30229249.00 31925246.00 32151144.00 3106705.00 31542886.00 31622888.00 31648534.00 31313263.00 31637507.00 31679298.00 31616024.00 31518530.00 312
114514_t99999.00 28799999.00 29099999.00 30399999.00 32099999.00 32299999.00 31199999.00 32399999.00 31799999.00 31799999.00 31499999.00 31799999.00 31799999.00 31799999.00 31699999.00 314
PHI-MVS99999.00 28799999.00 29099999.00 30399999.00 32099999.00 32299999.00 31199999.00 32399999.00 31799999.00 31799999.00 31499999.00 31799999.00 31799999.00 31799999.00 31699999.00 314
MP-MVS-pluss833433.63 2891111219.60 29575.70 15574.28 15973.29 162284.50 16011.35 155238.58 16465.86 160255.35 17214.55 153115.69 17410000000.00 32231.94 15338.12 159
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MTAPA833442.10 2901111233.77 29667.09 15165.59 15864.81 161284.50 16010000000.00 328219.97 16359.62 159229.89 16712.72 152103.00 172203.67 17327.93 15233.46 151
XVG-OURS-SEG-HR999999.00 291999999.00 292999999.00 305999999.00 322999999.00 324999999.00 313999999.00 325999999.00 319999999.00 319999999.00 316999999.00 319999999.00 319999999.00 319999999.00 318999999.00 316
XVG-OURS999999.00 291999999.00 292999999.00 305999999.00 322999999.00 324999999.00 313999999.00 325999999.00 319999999.00 319999999.00 316999999.00 319999999.00 319999999.00 319999999.00 318999999.00 316
XVG-ACMP-BASELINE999999.00 291999999.00 292999999.00 305999999.00 322999999.00 324999999.00 313999999.00 325999999.00 319999999.00 319999999.00 316999999.00 319999999.00 319999999.00 319999999.00 318999999.00 316
MVSMamba_PlusPlus10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
MGCFI-Net10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
sasdasda10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
dmvs_re10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
SDMVSNet10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
dmvs_testset10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
sd_testset10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
balanced_conf0310000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
MonoMVSNet10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
test250610000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
test111110000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
ECVR-MVScopyleft10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
test_blank10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
tt080510000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
Anonymous2024052110000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
cl2210000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
miper_ehance_all_eth10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
miper_enhance_ethall10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
cl____10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
DIV-MVS_self_test10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
eth_miper_zixun_eth10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
ET-MVSNet_ETH3D10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
UniMVSNet_ETH3D10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
miper_lstm_enhance10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
D2MVS10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
test_yl10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
thisisatest053010000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
Anonymous2024052910000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
Anonymous20240521110000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
DCV-MVSNet10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
tttt051710000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
our_test_310000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
thisisatest051510000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
ppachtmachnet_test10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
SMA-MVScopyleft10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
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 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
tfpnnormal10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
tfpn200view910000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
c3_l10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
IterMVS-SCA-FT10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
pmmvs610000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
pmmvs510000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
Anonymous2023121110000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
pmmvs-eth3d10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
Anonymous2023120610000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
SCA10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
Patchmatch-test10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
Patchmatch-RL test10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
canonicalmvs10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
anonymousdsp10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
FIs10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
FC-MVSNet-test10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
sosnet-low-res10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
AllTest10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
RRT-MVS10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
mamv410000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
HPM-MVS++copyleft10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
XVS10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
pm-mvs110000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
X-MVStestdata10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
APDe-MVScopyleft10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
pmmvs410000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
test-LLR10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
TESTMET0.1,110000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
test-mter10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
testgi10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
test20.0310000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
thres600view710000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
MP-MVScopyleft10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
thres40010000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
test12310000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
thres20010000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
test0.0.03 110000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
pmmvs310000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
EMVS10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
E-PMN10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
PGM-MVS10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
MCST-MVS10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
MVS_Test10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
PMMVS210000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
PM-MVS10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
HQP_MVS10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
mPP-MVS10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
mvsmamba10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
HPM-MVS_fast10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
HPM-MVScopyleft10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
EPNet_dtu10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
NCCC10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
CP-MVS10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
CPTT-MVS10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
HQP-MVS10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
IS-MVSNet10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
PAPM_NR10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
PAPR10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
Vis-MVSNet (Re-imp)10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
PatchMatch-RL10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
TDRefinement10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
EPP-MVSNet10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
PMMVS10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
PAPM10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
ACMMPcopyleft10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
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 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
wuyk23d10000000.00 29410000000.00 29710000000.00 30810000000.00 32510000000.00 32710000000.00 31610000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
APD-MVScopyleft1000000000.00 4031000000000.00 4061000000000.00 4191000000000.00 4441000000000.00 4441000000000.00 4301000000000.00 4441000000000.00 4371000000000.00 4381000000000.00 4351000000000.00 4401000000000.00 4381000000000.00 4371000000000.00 4361000000000.00 434
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
WAC-MVS248.46 189422.23 182
FOURS12643.17 2932465.14 29613996.40 298493.26 2707619.38 2992107.24 292
MSC_two_6792asdad2237.56 2772643.17 2932465.14 296493.26 2703088.29 2936075.14 2931078.39 2851159.26 283
PC_three_14527619.38 2992107.24 2927416.93 290610.24 2703088.29 2936075.14 2931078.39 2851159.26 283
No_MVS2237.56 2772643.17 2932465.14 296493.26 2703088.29 2936075.14 2931078.39 2851159.26 283
test_one_06012643.17 2932465.14 296493.26 2707619.38 2992107.24 2927416.93 290610.24 270
eth-test21.42 84
eth-test10000000.00 325
ZD-MVS1584.00 2621821.00 285378.00 2543721.00 2601231.00 2611833.00 242321.00 2441224.00 2542103.00 255692.00 251
RE-MVS-def610.10 192610.10 220610.10 233610.10 179610.10 285610.10 189610.10 232610.10 185610.10 268610.10 202610.10 241610.10 239
IU-MVS2725.60 2982598.35 302515.86 2787016.02 2922363.85 2965973.88 2891620.04 2971732.56 293
OPU-MVS2451.45 2852725.60 2982598.35 3029203.30 2786894.28 284887.23 2883023.43 2895973.88 2891620.04 2971732.56 293
test_241102_TWO515.86 2787016.02 2922363.85 2966894.28 284887.23 2883023.43 2895973.88 2891620.04 2971732.56 293
test_241102_ONE2725.60 2982598.35 302515.86 2787016.02 2922363.85 2966894.28 284887.23 2883023.43 289
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 2741363.85 2664894.28 272387.23 2512023.43 2673973.88 272620.04 243732.56 248
test_0728_SECOND1451.45 2561725.60 2651598.35 2699203.30 278315.86 2452023.43 2673973.88 272620.04 243732.56 248
test07261725.60 2651598.35 2699203.30 278315.86 2455016.02 2741363.85 2664894.28 272387.23 251
GSMVS10000000.00 319
test_part210000000.00 32510000000.00 32710000000.00 322
sam_mvs110000000.00 32210000000.00 319
sam_mvs10000000.00 322
ambc999.00 238999.00 247999.00 252999.00 197999.00 301999.00 247999.00 211999.00 293999.00 243999.00 223999.00 277999.00 274
MTGPAbinary10000000.00 328
test_post110000000.00 31610000000.00 31910000000.00 32210000000.00 32210000000.00 322
test_post10000000.00 31910000000.00 32210000000.00 322
patchmatchnet-post10000000.00 31910000000.00 32210000000.00 322
GG-mvs-BLEND596.01 221611.29 222600.33 230790.30 185513.12 276552.71 225567.40 179662.54 280531.67 210503.93 189779.80 258656.02 242
MTMP10000000.00 31610000000.00 328
gm-plane-assit611.29 222600.33 230579.21 183567.40 179531.67 210503.93 189
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 30810000000.00 32510000000.00 32710000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
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 32510000000.00 327
plane_prior610000000.00 32510000000.00 32710000000.00 322
plane_prior510000000.00 32810000000.00 32210000000.00 32210000000.00 32110000000.00 319
plane_prior410000000.00 319
plane_prior310000000.00 32710000000.00 32210000000.00 322
plane_prior210000000.00 31610000000.00 322
plane_prior110000000.00 325
plane_prior1.00 782.00 1162.00 1172.00 115
n214.20 158
nn1.42 86
door-mid1.42 86
lessismore_v0569.20 219667.25 236644.68 23696.45 203428.86 2111514.17 238204.21 231756.58 2321061.60 232197.79 209306.34 221
LGP-MVS_train10000000.00 30810000000.00 32510000000.00 32710000000.00 32810000000.00 32210000000.00 32210000000.00 31910000000.00 32210000000.00 32210000000.00 32210000000.00 32110000000.00 319
test111.00 79
door99.00 207
HQP5-MVS10000000.00 327
HQP-NCC10000000.00 32510000000.00 31610000000.00 32210000000.00 322
ACMP_Plane10000000.00 32510000000.00 31610000000.00 32210000000.00 322
BP-MVS10000000.00 322
HQP4-MVS10000000.00 32210000000.00 32210000000.00 319
HQP3-MVS10000000.00 32810000000.00 321
HQP2-MVS10000000.00 322
NP-MVS10000000.00 32510000000.00 32710000000.00 319
MDTV_nov1_ep13_2view9.99 1389.99 1369.99 1379.99 1369.99 1389.99 1349.99 137
MDTV_nov1_ep139.99 1249.99 1379.99 1389.99 1369.99 1449.99 1379.99 1369.99 1339.99 1389.99 1379.99 1349.99 138
ACMMP++_ref10000000.00 321
ACMMP++10000000.00 321
Test By Simon990.00 292
ITE_SJBPF2014.00 2751998.00 2761992.00 289701.00 2915989.00 2791812.00 2903612.00 260650.00 2742852.00 2874601.00 2811195.00 2901198.00 287
DeepMVS_CXcopyleft1.00 711.00 781.00 781.00 791.00 781.00 771.00 751.00 771.00 781.00 761.00 761.00 76