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
xxxxxxxxxxxxxcwj0.00 10.00 10.00 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
ETH3D cwj APD-0.160.00 10.00 10.00 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
ETH3 D test64000.00 10.00 10.00 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
ETH3D-3000-0.10.00 10.00 10.00 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
agg_prior10.00 10.00 10.00 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
#test#0.00 10.00 10.00 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_prior30.00 10.00 10.00 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
11210.00 10.00 10.00 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
abl_60.00 10.00 10.00 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
LCM-MVSNet0.37 170.36 180.37 220.37 290.37 290.37 290.32 300.37 290.37 280.37 260.37 280.37 290.37 270.37 270.37 27
v1441920.40 180.40 190.40 230.40 300.40 300.40 300.40 320.40 300.40 290.40 270.40 290.40 300.40 280.40 280.40 28
v19219200.40 180.40 190.40 230.40 300.40 300.40 300.40 320.40 300.40 290.40 270.40 290.40 300.40 280.40 280.40 28
v11920.40 180.40 190.40 230.40 300.40 300.40 300.40 320.40 300.40 290.40 270.40 290.40 300.40 280.40 280.40 28
v11440.40 180.40 190.40 230.40 300.40 300.40 300.40 320.40 300.40 290.40 270.40 290.40 300.40 280.40 280.40 28
v1480.40 180.40 190.40 230.40 300.40 300.40 300.40 320.40 300.40 290.40 270.40 290.40 300.40 280.40 280.40 28
v7n0.40 180.40 190.40 230.40 300.40 300.40 300.40 320.40 300.40 290.40 270.40 290.40 300.40 280.40 280.40 28
v12400.40 180.40 190.40 230.40 300.40 300.40 300.40 320.40 300.40 290.40 270.40 290.40 300.40 280.40 280.40 28
v80.40 180.40 190.40 230.40 300.40 300.40 300.40 320.40 300.40 290.40 270.40 290.40 300.40 280.40 280.40 28
v100.40 180.40 190.40 230.40 300.40 300.40 300.40 320.40 300.40 290.40 270.40 290.40 300.40 280.40 280.40 28
v2v4820.40 180.40 190.40 230.40 300.40 300.40 300.40 320.40 300.40 290.40 270.40 290.40 300.40 280.40 280.40 28
V420.40 180.40 190.40 230.40 300.40 300.40 300.40 320.40 300.40 290.40 270.40 290.40 300.40 280.40 280.40 28
GA-MVS0.40 180.40 190.40 230.40 300.40 300.40 300.40 320.40 300.40 290.40 270.40 290.40 300.40 280.40 280.40 28
Fast-Effi-MVS+0.41 300.40 190.41 350.41 420.41 420.41 420.35 310.41 420.41 410.41 390.41 410.41 420.41 400.41 400.41 40
Fast-Effi-MVS+-dtu0.44 310.44 320.44 360.44 430.44 430.44 430.44 440.44 430.44 420.44 400.44 420.44 430.44 410.44 410.44 41
Effi-MVS+0.58 320.56 330.62 380.53 440.62 450.53 440.53 450.53 440.62 440.62 420.53 430.62 450.62 420.53 420.62 43
Effi-MVS+-dtu0.59 330.61 340.53 370.68 480.53 440.53 440.68 490.68 480.53 430.53 410.68 470.53 440.68 460.53 420.53 42
EIA-MVS0.62 340.62 350.62 380.62 450.62 450.62 460.62 460.62 450.62 440.62 420.62 440.62 450.62 420.62 440.62 43
ETV-MVS0.62 340.62 350.62 380.62 450.62 450.62 460.62 460.62 450.62 440.62 420.62 440.62 450.62 420.62 440.62 43
CS-MVS0.62 340.62 350.62 380.62 450.62 450.62 460.62 460.62 450.62 440.62 420.62 440.62 450.62 420.62 440.62 43
mvs-test10.68 370.68 380.68 420.68 480.68 490.68 490.68 490.68 480.68 480.68 460.68 470.68 490.68 460.68 470.68 47
CDS-MVSNet0.88 380.88 390.88 430.88 500.88 500.88 500.88 510.88 500.88 490.88 470.88 490.88 500.88 480.88 480.88 48
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 380.88 390.88 430.88 500.88 500.88 500.88 510.88 500.88 490.88 470.88 490.88 500.88 480.88 480.88 48
LCM-MVSNet-Re0.89 400.89 410.89 450.89 520.89 520.89 520.89 530.89 520.89 510.89 490.89 510.89 520.89 500.89 500.89 50
MDA-MVSNet-bldmvs1.20 411.20 421.20 471.20 541.20 551.20 531.20 561.20 541.20 531.20 511.20 531.20 541.20 521.20 521.20 52
YYNet11.20 411.20 421.20 471.20 541.20 551.20 531.20 561.20 541.20 531.20 511.20 531.20 541.20 521.20 521.20 52
MDA-MVSNet_test_wron1.20 411.20 421.20 471.20 541.20 551.20 531.20 561.20 541.20 531.20 511.20 531.20 541.20 521.20 521.20 52
EI-MVSNet-UG-set1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
EI-MVSNet-Vis-set1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
Regformer-31.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
Regformer-41.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
Regformer-11.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
Regformer-21.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
EI-MVSNet1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
Regformer1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
CVMVSNet1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
EU-MVSNet1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
PS-CasMVS1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
UniMVSNet_NR-MVSNet1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
PEN-MVS1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
TransMVSNet (Re)1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
DTE-MVSNet1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
DU-MVS1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
UniMVSNet (Re)1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
CP-MVSNet1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
WR-MVS_H1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
WR-MVS1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
NR-MVSNet1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
Baseline_NR-MVSNet1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
TranMVSNet+NR-MVSNet1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
MVSFormer1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
jason1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
jason: jason.
lupinMVS1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
test_djsdf1.42 441.42 451.42 501.42 571.42 581.42 561.42 591.42 571.42 561.42 541.42 561.42 571.42 551.42 551.42 55
alignmvs2.00 712.00 722.00 772.00 842.00 852.00 832.00 882.00 842.00 832.00 812.00 832.00 842.00 822.00 822.00 82
nrg0302.00 712.00 722.00 772.00 842.00 852.00 832.00 882.00 842.00 832.00 812.00 832.00 842.00 822.00 822.00 82
LFMVS2.00 712.00 722.00 772.00 842.00 852.00 832.00 882.00 842.00 832.00 812.00 832.00 842.00 822.00 822.00 82
VDD-MVS2.00 712.00 722.00 772.00 842.00 852.00 832.00 882.00 842.00 832.00 812.00 832.00 842.00 822.00 822.00 82
VDDNet2.00 712.00 722.00 772.00 842.00 852.00 832.00 882.00 842.00 832.00 812.00 832.00 842.00 822.00 822.00 82
VPNet2.00 712.00 722.00 772.00 842.00 852.00 832.00 882.00 842.00 832.00 812.00 832.00 842.00 822.00 822.00 82
VNet2.00 712.00 722.00 772.00 842.00 852.00 832.00 882.00 842.00 832.00 812.00 832.00 842.00 822.00 822.00 82
VPA-MVSNet2.00 712.00 722.00 772.00 842.00 852.00 832.00 882.00 842.00 832.00 812.00 832.00 842.00 822.00 822.00 82
cascas2.00 712.00 722.00 772.00 842.00 852.00 832.00 882.00 842.00 832.00 812.00 832.00 842.00 822.00 822.00 82
UnsupCasMVSNet_eth5.90 805.90 815.90 865.90 935.90 945.90 935.90 985.90 945.90 925.90 905.90 935.90 935.90 915.90 935.90 92
UnsupCasMVSNet_bld5.90 805.90 815.90 865.90 935.90 945.90 935.90 985.90 945.90 925.90 905.90 935.90 935.90 915.90 935.90 92
WTY-MVS5.90 805.90 815.90 865.90 935.90 945.90 935.90 985.90 945.90 925.90 905.90 935.90 935.90 915.90 935.90 92
HY-MVS5.90 15.90 805.90 815.90 865.90 935.90 945.90 935.90 985.90 945.90 925.90 905.90 935.90 935.90 915.90 935.90 92
sss5.90 805.90 815.90 865.90 935.90 945.90 935.90 985.90 945.90 925.90 905.90 935.90 935.90 915.90 935.90 92
Test_1112_low_res5.90 805.90 815.90 865.90 935.90 945.90 935.90 985.90 945.90 925.90 905.90 935.90 935.90 915.90 935.90 92
1112_ss5.90 805.90 815.90 865.90 935.90 945.90 935.90 985.90 945.90 925.90 905.90 935.90 935.90 915.90 935.90 92
ab-mvs-re5.90 805.90 815.90 865.90 935.90 945.90 935.90 985.90 945.90 925.90 905.90 935.90 935.90 915.90 935.90 92
ab-mvs5.90 805.90 815.90 865.90 935.90 945.90 935.90 985.90 945.90 925.90 905.90 935.90 935.90 915.90 935.90 92
CDPH-MVS6.66 896.66 906.66 956.66 1026.66 1036.66 1026.66 1076.66 1036.66 1016.66 996.66 1026.66 1026.66 1006.66 1026.66 101
xiu_mvs_v1_base_debu10.28 9010.28 9210.28 9710.28 10410.28 10710.28 10510.28 11010.28 10610.28 10510.28 10110.28 10510.28 10510.28 10310.28 10410.28 103
xiu_mvs_v2_base10.28 9010.28 9210.28 9710.28 10410.28 10710.28 10510.28 11010.28 10610.28 10510.28 10110.28 10510.28 10510.28 10310.28 10410.28 103
xiu_mvs_v1_base10.28 9010.28 9210.28 9710.28 10410.28 10710.28 10510.28 11010.28 10610.28 10510.28 10110.28 10510.28 10510.28 10310.28 10410.28 103
xiu_mvs_v1_base_debi10.28 9010.28 9210.28 9710.28 10410.28 10710.28 10510.28 11010.28 10610.28 10510.28 10110.28 10510.28 10510.28 10310.28 10410.28 103
cdsmvs_eth3d_5k10.28 9010.28 9210.28 9710.28 10410.28 10710.28 10510.28 11010.28 10610.28 10510.28 10110.28 10510.28 10510.28 10310.28 10410.28 103
pcd_1.5k_mvsjas10.28 9010.28 9210.28 9710.28 10410.28 10710.28 10510.28 11010.28 10610.28 10510.28 10110.28 10510.28 10510.28 10310.28 10410.28 103
PS-MVSNAJss10.28 9010.28 9210.28 9710.28 10410.28 10710.28 10510.28 11010.28 10610.28 10510.28 10110.28 10510.28 10510.28 10310.28 10410.28 103
PS-MVSNAJ10.28 9010.28 9210.28 9710.28 10410.28 10710.28 10510.28 11010.28 10610.28 10510.28 10110.28 10510.28 10510.28 10310.28 10410.28 103
jajsoiax10.28 9010.28 9210.28 9710.28 10410.28 10710.28 10510.28 11010.28 10610.28 10510.28 10110.28 10510.28 10510.28 10310.28 10410.28 103
mvs_tets10.28 9010.28 9210.28 9710.28 10410.28 10710.28 10510.28 11010.28 10610.28 10510.28 10110.28 10510.28 10510.28 10310.28 10410.28 103
SR-MVS-dyc-post11.55 10011.55 10211.55 10711.55 11511.55 11711.55 11511.55 12211.55 11611.55 11511.55 11111.55 11611.55 11511.55 11311.55 11411.55 113
XXY-MVS15.00 10115.00 10315.00 10815.00 11615.00 11815.00 11615.00 12415.00 11715.00 11615.00 11215.00 12115.00 11615.00 11515.00 11615.00 115
BH-w/o40.00 10240.00 10440.00 11040.00 11740.00 11940.00 11840.00 14140.00 11840.00 11840.00 11340.00 13940.00 11840.00 11640.00 13240.00 127
BH-untuned40.00 10240.00 10440.00 11040.00 11740.00 11940.00 11840.00 14140.00 11840.00 11840.00 11340.00 13940.00 11840.00 11640.00 13240.00 127
BH-RMVSNet40.00 10240.00 10440.00 11040.00 11740.00 11940.00 11840.00 14140.00 11840.00 11840.00 11340.00 13940.00 11840.00 11640.00 13240.00 127
TR-MVS40.00 10240.00 10440.00 11040.00 11740.00 11940.00 11840.00 14140.00 11840.00 11840.00 11340.00 13940.00 11840.00 11640.00 13240.00 127
GBi-Net44.67 10649.24 10830.96 10947.53 12147.57 123126.09 1228.00 10876.99 12226.09 11773.50 11811.27 11530.55 11761.12 12012.58 11514.75 114
dp87.20 107113.80 1117.42 9610.50 1148.88 104298.82 1302.70 97510.35 1467.79 102172.93 1213.37 929.16 10314.00 1143.71 924.23 91
new_pmnet88.14 10898.62 10956.70 11498.14 13056.07 124246.79 12415.37 125148.06 12350.77 122143.13 11923.35 12262.65 12293.26 12168.71 13951.38 138
N_pmnet88.14 10898.62 10956.70 11498.14 13056.07 124246.79 12415.37 125148.06 12350.77 122143.13 11923.35 12262.65 12293.26 12168.71 13951.38 138
CANet110.62 110124.04 11270.34 11882.03 12674.27 130325.54 13125.25 127207.16 12669.28 128194.38 12227.53 12495.79 132147.76 12537.43 12140.97 131
CANet_DTU110.62 110124.04 11270.34 11882.03 12674.27 130325.54 13125.25 127207.16 12669.28 128194.38 12227.53 12495.79 132147.76 12537.43 12140.97 131
MVS_0304110.62 110124.04 11270.34 11882.03 12674.27 130325.54 13125.25 127207.16 12669.28 128194.38 12227.53 12495.79 132147.76 12537.43 12140.97 131
UGNet110.62 110124.04 11270.34 11882.03 12674.27 130325.54 13125.25 127207.16 12669.28 128194.38 12227.53 12495.79 132147.76 12537.43 12140.97 131
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 114133.18 11675.70 12274.28 12473.29 128284.50 12611.35 120238.58 13265.86 126255.35 13914.55 119115.69 142222.18 14131.94 11938.12 125
FMVSNet5124.76 115140.93 11776.26 124107.44 133100.17 138329.88 13527.12 134259.44 13774.30 132204.34 12630.74 12892.41 125196.98 12938.15 12536.19 118
test1124.76 115140.93 11776.26 124107.44 133100.17 138329.88 13527.12 134259.44 13774.30 132204.34 12630.74 12892.41 125196.98 12938.15 12536.19 118
FMVSNet3124.76 115140.93 11776.26 124107.44 133100.17 138329.88 13527.12 134259.44 13774.30 132204.34 12630.74 12892.41 125196.98 12938.15 12536.19 118
FMVSNet2124.76 115140.93 11776.26 124107.44 133100.17 138329.88 13527.12 134259.44 13774.30 132204.34 12630.74 12892.41 125196.98 12938.15 12536.19 118
FMVSNet1124.76 115140.93 11776.26 124107.44 133100.17 138329.88 13527.12 134259.44 13774.30 132204.34 12630.74 12892.41 125196.98 12938.15 12536.19 118
MIMVSNet1124.76 115140.93 11776.26 124107.44 133100.17 138329.88 13527.12 134259.44 13774.30 132204.34 12630.74 12892.41 125196.98 12938.15 12536.19 118
MIMVSNet124.76 115140.93 11776.26 124107.44 133100.17 138329.88 13527.12 134259.44 13774.30 132204.34 12630.74 12892.41 125196.98 12938.15 12536.19 118
DSMNet-mixed131.33 122143.00 12496.33 13599.00 13281.00 134201.00 12345.00 145335.00 14499.00 142251.00 13838.00 138110.00 141120.00 12499.00 14298.00 141
PVSNet_Blended_VisFu136.90 123155.40 12581.40 131111.00 14096.20 135407.00 14225.90 131251.60 13485.10 139240.50 13537.00 13599.90 136199.80 13640.70 13648.10 135
PVSNet_BlendedMVS136.90 123155.40 12581.40 131111.00 14096.20 135407.00 14225.90 131251.60 13485.10 139240.50 13537.00 13599.90 136199.80 13640.70 13648.10 135
PVSNet_Blended136.90 123155.40 12581.40 131111.00 14096.20 135407.00 14225.90 131251.60 13485.10 139240.50 13537.00 13599.90 136199.80 13640.70 13648.10 135
test1172216.26 126257.16 12893.57 134310.10 147111.10 14531.10 11745.10 146192.73 125176.39 143512.31 14266.33 14578.35 124891.20 16689.18 14191.27 140
DP-MVS264.78 127296.02 129171.04 136191.70 143183.96 146827.10 15378.36 147438.24 145176.64 144435.12 14165.04 144230.52 146334.02 142117.96 14398.64 142
tmp_tt371.08 128412.78 130246.00 138231.00 144197.00 1471293.00 165376.00 199756.00 155609.00 17971.00 117106.00 154195.00 144102.00 123171.00 152346.00 175
RPSCF394.81 129445.63 131242.35 137276.55 146253.63 1481207.27 16390.69 152715.56 153241.57 146684.87 150111.96 155320.02 147548.38 149133.81 144153.39 144
EG-PatchMatch MVS437.03 130493.12 134268.77 139264.80 145260.20 1491491.80 16898.00 156723.20 154238.80 145722.40 15163.10 143382.00 150629.00 153207.00 159164.10 147
ADS-MVSNet2443.33 131482.84 132324.79 146434.94 158387.73 1561110.57 16187.69 150887.02 159282.92 147779.29 15298.57 152422.76 155502.40 143162.19 150163.87 145
ADS-MVSNet443.33 131482.84 132324.79 146434.94 158387.73 1561110.57 16187.69 150887.02 159282.92 147779.29 15298.57 152422.76 155502.40 143162.19 150163.87 145
MVP-Stereo473.58 133533.67 135293.33 140376.00 151318.00 1501461.00 16696.00 153835.00 157290.00 150804.00 15597.00 150383.00 152688.00 160156.00 145179.00 149
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 133533.67 135293.33 140376.00 151318.00 1501461.00 16696.00 153835.00 157290.00 150804.00 15597.00 150383.00 152688.00 160156.00 145179.00 149
PatchmatchNetpermissive492.52 135551.22 137316.40 144400.20 154357.90 1541277.10 164115.80 1611034.60 169315.90 152874.00 158155.10 160402.20 154629.50 154158.80 147189.10 151
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmvs501.65 136567.42 138304.33 143395.39 153356.32 1531512.04 169216.53 187994.15 162350.16 155804.16 157119.38 156380.98 149555.14 150159.87 148175.69 148
DELS-MVS514.57 137587.73 140295.12 142343.03 148328.09 1521540.48 170116.22 162988.59 161325.44 153906.22 159119.86 157365.72 148788.60 162161.09 149191.55 152
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 138581.17 139321.48 145361.02 149429.00 1601995.36 17478.48 148796.20 156283.32 149796.02 15496.78 149382.98 151636.72 155186.66 156152.46 143
gg-mvs-nofinetune594.69 139605.37 141562.67 166617.29 174500.33 164772.30 149413.12 207579.21 147552.71 173567.40 143662.54 224531.67 159503.93 145779.80 205656.02 190
SR-MVS610.10 140610.10 142610.10 171610.10 168610.10 180610.10 147610.10 227610.10 151610.10 180610.10 148610.10 214610.10 174610.10 151610.10 189610.10 187
CR-MVSNet612.36 141617.81 144596.01 169611.29 170600.33 177790.30 150513.12 218579.21 147552.71 173567.40 143662.54 224531.67 159503.93 145779.80 205656.02 190
IterMVS615.05 142691.66 145385.23 150516.40 161454.80 1611863.80 172102.10 1581142.20 171364.10 1561093.20 173135.00 158480.40 158826.90 163181.20 153220.50 154
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 143700.96 146362.78 148426.10 157409.25 1581822.69 171124.42 1701186.23 172366.85 1571079.42 171190.60 173451.78 157930.72 168181.59 154227.30 155
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 144754.00 147383.51 149368.96 150376.38 1552483.74 18682.42 1491089.25 170333.39 1541219.68 17466.53 146573.60 171957.86 169184.14 155200.56 153
Gipumacopyleft689.75 145767.00 148458.00 158613.00 173549.00 1751943.00 173187.00 1841230.00 173518.00 1701092.00 172203.00 179564.00 164892.00 167225.00 168261.00 162
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
IterMVS-LS758.94 146856.56 151466.10 159606.60 166546.80 1732309.90 176122.20 1691402.80 177463.50 1611348.20 176192.60 174574.60 1721028.60 179234.60 170276.90 164
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
new-patchmatchnet766.12 147859.03 152487.38 162595.68 163536.14 1662346.27 177142.51 1751488.08 179422.43 1581361.32 178163.65 163628.60 1761003.74 178207.61 160297.41 168
SixPastTwentyTwo773.62 148869.37 154486.35 161603.45 165547.15 1742532.14 187106.92 1601434.95 178428.08 1591360.56 177165.15 164628.96 177984.09 170209.01 161282.94 165
mvs_anonymous774.90 149882.28 155452.77 152636.50 175537.20 1672348.80 178120.30 1631504.30 180474.40 1621371.10 179186.90 166564.70 1651078.90 181219.30 162256.40 156
casdiffmvs774.90 149882.28 155452.77 152636.50 175537.20 1672348.80 178120.30 1631504.30 180474.40 1621371.10 179186.90 166564.70 1651078.90 181219.30 162256.40 156
diffmvs774.90 149882.28 155452.77 152636.50 175537.20 1672348.80 178120.30 1631504.30 180474.40 1621371.10 179186.90 166564.70 1651078.90 181219.30 162256.40 156
baseline2774.90 149882.28 155452.77 152636.50 175537.20 1672348.80 178120.30 1631504.30 180474.40 1621371.10 179186.90 166564.70 1651078.90 181219.30 162256.40 156
baseline1774.90 149882.28 155452.77 152636.50 175537.20 1672348.80 178120.30 1631504.30 180474.40 1621371.10 179186.90 166564.70 1651078.90 181219.30 162256.40 156
baseline774.90 149882.28 155452.77 152636.50 175537.20 1672348.80 178120.30 1631504.30 180474.40 1621371.10 179186.90 166564.70 1651078.90 181219.30 162256.40 156
RPMNet787.26 155829.13 149661.63 175885.90 189895.90 197455.98 145610.10 2271297.17 1741002.26 2021001.67 169655.98 222611.10 175667.90 157885.21 217477.90 184
JIA-IIPM804.30 156835.64 150710.26 180885.90 189895.90 197455.98 145668.73 2311297.17 1741002.26 2021001.67 169655.98 222756.98 181667.90 157885.21 217477.90 184
CSCG826.03 157963.29 162414.24 151421.52 156426.11 1592230.35 175179.52 1831827.44 191733.43 190933.12 161281.25 186545.23 1631800.35 197262.64 172271.38 163
PVSNet1207.94 6829.56 158937.18 161506.69 163645.55 181585.72 1762477.98 185130.52 1711578.29 187509.50 1691460.01 185194.90 175637.19 1781170.78 188267.07 174297.17 167
PatchT856.34 159860.99 153842.38 1851290.90 204880.90 195790.30 1501267.30 249579.21 147923.90 192567.40 143662.54 224990.23 189887.56 165779.80 205656.02 190
K. test v3877.74 160980.16 163570.46 1681316.85 206813.15 1922565.52 188103.78 1591509.49 186548.33 1721258.90 175219.93 184587.82 1731102.37 187196.30 157310.42 170
MVSTER890.06 1611005.91 170542.52 164736.13 186653.90 1842616.56 189145.22 1771692.10 190555.69 1761554.72 187266.25 185660.02 1791219.66 189266.84 173313.64 171
PMVScopyleft863.65 3957.08 1621054.11 171666.00 177401.00 155495.00 1633790.00 194279.00 1891607.00 189521.00 1711745.00 18990.00 1471105.00 200639.00 156415.00 185398.00 182
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ACMH993.80 5967.92 1631106.11 173553.33 165494.00 160534.00 1653581.00 192136.00 1721585.00 188478.00 1681871.00 19190.00 147839.00 1831460.00 191260.00 171287.00 166
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet_01661.03 9968.54 1641066.82 172673.70 178706.94 184695.69 1852669.02 190153.52 1792108.17 196605.54 1781679.14 188213.26 183886.75 1861236.76 190229.01 169438.67 183
OurMVSNet-221017-0999.00 165999.00 164999.00 186999.00 194999.00 199999.00 154999.00 242999.00 163999.00 195999.00 162999.00 237999.00 191999.00 171999.00 223999.00 220
EPMVS999.00 165999.00 164999.00 186999.00 194999.00 199999.00 154999.00 242999.00 163999.00 195999.00 162999.00 237999.00 191999.00 171999.00 223999.00 220
uanet_test1000.00 1671000.00 1661000.00 1891000.00 1971000.00 2021000.00 1571000.00 2451000.00 1651000.00 1981000.00 1651000.00 2401000.00 1941000.00 1741000.00 2261000.00 223
sosnet1000.00 1671000.00 1661000.00 1891000.00 1971000.00 2021000.00 1571000.00 2451000.00 1651000.00 1981000.00 1651000.00 2401000.00 1941000.00 1741000.00 2261000.00 223
USDC1000.00 1671000.00 1661000.00 1891000.00 1971000.00 2021000.00 1571000.00 2451000.00 1651000.00 1981000.00 1651000.00 2401000.00 1941000.00 1741000.00 2261000.00 223
TinyColmap1000.00 1671000.00 1661000.00 1891000.00 1971000.00 2021000.00 1571000.00 2451000.00 1651000.00 1981000.00 1651000.00 2401000.00 1941000.00 1741000.00 2261000.00 223
ACMP1246.57 71086.24 1711235.17 175639.45 172596.53 164639.91 1823904.24 195152.04 1781851.54 192566.58 1771997.95 193138.50 159938.30 1871605.46 193303.70 180340.14 173
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Patchmtry1090.75 1721198.88 174766.38 1841290.90 204485.90 1622423.98 1841267.30 2491297.17 174923.90 192923.40 1601215.54 245990.23 189667.90 157779.80 205823.02 203
test_04021110.00 1731260.00 176660.00 174900.00 192780.00 1913300.00 191210.00 1862040.00 195690.00 1851950.00 192300.00 189810.00 1821620.00 194330.00 181390.00 181
MVS_111021_LR1136.45 1741298.72 177649.64 173756.17 187726.26 1883785.94 193138.15 1742190.64 197629.63 1832064.39 194165.45 165874.83 1851678.43 196279.70 175347.82 176
ACMM1311.08 81165.06 1751332.72 178662.07 176584.90 162715.99 1874373.59 199153.99 1801880.27 193709.02 1872316.97 195188.63 172939.89 1881484.30 192302.78 179330.34 172
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++1242.93 1761411.08 179738.48 182712.71 185712.68 1864168.17 197136.50 1732276.40 198613.28 1822368.60 198161.61 1621130.38 2011964.54 200297.88 177372.39 178
MG-MVS1256.50 1771432.00 180730.00 181610.00 167760.00 1894720.00 200169.00 1811920.00 194723.00 1892510.00 201201.00 1771050.00 1981645.00 195390.00 184380.00 179
ACMMPR1296.60 1781480.82 181743.96 183899.25 191763.47 1904305.47 198143.90 1762530.94 201683.99 1842346.34 197201.65 1781098.25 1991920.59 199295.21 176370.16 177
TSAR-MVS + GP.1386.84 1791622.84 183678.81 179952.13 193840.17 1945358.21 203170.75 1822650.47 202713.54 1882394.28 199209.42 182855.56 1841854.36 198302.42 178340.71 174
FPMVS1407.00 1801495.59 1821141.23 194648.01 182893.85 1964124.00 196503.81 2173219.04 204742.72 1912498.84 200157.98 1611727.83 207832.93 164732.98 204802.00 199
DeepC-MVS_fast2190.19 121535.59 1811886.82 185481.89 160847.73 188830.16 1937943.84 219189.23 1852398.83 199691.73 1862341.13 196209.16 181230.25 1451999.25 201360.46 182385.25 180
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 1821869.33 1841025.33 1931030.00 2011023.00 2065311.00 202359.00 1973044.00 203937.00 1942892.00 202332.00 1931440.00 2042312.00 203607.00 188613.00 189
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 1832113.11 1861173.33 1971231.00 2021174.00 2076297.00 205392.00 2023356.00 2061087.00 2043082.00 203361.00 1971670.00 2062523.00 205689.00 195676.00 194
OpenMVS_ROBcopyleft1936.51 101959.51 1842224.88 1881163.39 1961253.91 2031434.22 2107065.71 209272.76 1882472.29 2001647.54 2323538.72 206200.37 1761496.48 2052575.17 206997.45 222559.48 186
CMPMVSbinary2623.62 151983.08 1852156.14 1871463.89 2071414.80 2081517.00 2125239.20 201867.40 2363310.30 2051128.70 2063489.90 205366.75 1982030.20 2182427.60 2041160.60 232844.46 206
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MVS-HIRNet2125.39 1862452.68 1891143.53 1952938.33 2441446.92 2116083.19 204391.74 2013801.71 2091202.10 2083439.72 204492.73 2061304.35 2033048.25 209676.32 194679.32 195
PLCcopyleft2858.82 162192.92 1872474.00 1901349.67 1991407.00 2071356.00 2097164.00 210475.00 2143970.00 2101237.00 2113765.00 209451.00 2031891.00 2123006.00 208791.00 210802.00 199
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVScopyleft2352.88 132263.08 1882530.89 1911459.67 2061767.00 2191591.00 2157932.00 218399.00 2033643.00 2071176.00 2073569.00 207297.00 1881927.00 2143302.00 210693.00 199861.00 207
PCF-MVS4335.85 202272.23 1892597.03 1921297.84 1981701.20 2111332.37 2088105.11 220451.45 2104031.84 2111099.10 2053966.50 210467.45 2041734.05 2082701.68 207848.94 214827.11 204
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x4202340.81 1902643.03 1931434.14 2002025.55 2281629.36 2196542.40 206412.49 2044219.70 2121547.02 2224328.52 212650.74 2191798.26 2093333.17 211727.72 201874.79 208
CHOSEN 1792x26882340.81 1902643.03 1931434.14 2002025.55 2281629.36 2196542.40 206412.49 2044219.70 2121547.02 2224328.52 212650.74 2191798.26 2093333.17 211727.72 201874.79 208
HyFIR lowres test2340.81 1902643.03 1931434.14 2002025.55 2281629.36 2196542.40 206412.49 2044219.70 2121547.02 2224328.52 212650.74 2191798.26 2093333.17 211727.72 201874.79 208
3Dnovator2482.06 142531.17 1932839.56 1961606.00 2081732.00 2151557.00 2148375.00 222483.00 2154370.00 2151371.00 2174200.00 211350.00 1952207.00 2193877.00 217798.00 2111054.00 227
tpmrst2557.50 1942847.12 1971688.66 2111784.08 2201778.25 2297445.50 216342.14 1954471.54 2161534.55 2214382.10 215530.10 2102361.21 2224142.81 221991.22 221926.51 213
AdaColmapbinary2570.77 1952948.61 1981437.24 2031873.64 2211526.60 2137819.77 217373.97 1984970.45 2191479.29 2194648.46 217525.80 2091904.97 2134150.42 222695.69 200880.14 211
SD-MVS2654.53 1963055.56 2011451.45 2041725.60 2121598.35 2169203.30 226315.86 1925016.02 2211363.85 2144894.28 219387.23 1992023.43 2153973.88 218620.04 191732.56 196
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 1973021.57 1991618.12 2092377.67 2341751.39 2288915.70 225567.44 2254569.74 2171236.84 2104615.63 216513.23 2072291.32 2203515.48 214882.39 216811.66 201
LF4IMVS2699.50 1983049.67 2001649.00 2101755.00 2161689.00 2238330.00 221464.00 2124997.00 2201528.00 2204763.00 218568.00 2122296.00 2214215.00 223827.00 213962.00 217
Vis-MVSNetpermissive2877.42 1993170.00 2021999.67 2201673.00 2102042.00 2378593.00 223474.00 2136452.00 2341268.00 2125125.00 222339.00 1943004.00 2344222.00 224384.00 183953.00 216
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2891.50 2003284.78 2031711.67 2121954.00 2221655.00 22210117.00 235445.00 2095102.00 2241375.00 2185126.00 223351.00 1962638.00 2314402.00 225691.00 197842.00 205
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 2013537.00 2041975.67 2182310.00 2322005.00 23610100.00 234626.00 2305753.00 2251803.00 2355179.00 224487.00 2052622.00 2294550.00 2261025.00 2301300.00 231
DeepC-MVS3917.13 193155.06 2023601.83 2051814.72 2162515.52 2371941.53 23310432.50 236589.42 2264789.45 2181298.65 2137677.31 238578.35 2132589.53 2253611.78 216923.52 219913.10 212
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 2033762.89 2061783.33 2141756.00 2171806.00 23012319.00 238307.00 1906319.00 2321557.00 2255763.00 225302.00 1902609.00 2275061.00 229482.00 186935.00 214
OPM-MVS3268.00 2033762.89 2061783.33 2141756.00 2171806.00 23012319.00 238307.00 1906319.00 2321557.00 2255763.00 225302.00 1902609.00 2275061.00 229482.00 186935.00 214
TAPA-MVS6309.84 213374.90 2053806.99 2082078.63 2222535.47 2382499.25 2428816.16 224456.05 2116255.60 2311664.52 2336704.88 230629.95 2172768.38 2326343.93 239856.35 215968.25 218
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 2064065.89 2131914.35 2172349.10 2332141.30 23812362.70 240417.60 2086717.80 2381759.40 2346497.50 228518.18 2082629.38 2305164.32 231806.40 212972.38 219
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
tpm23617.85 2074007.23 2092449.73 2252012.71 2241698.05 2247351.19 212869.29 2376132.06 2271588.28 2278007.42 2401281.09 2463888.11 2437472.04 2431351.00 2341763.02 240
tpm cat13617.85 2074007.23 2092449.73 2252012.71 2241698.05 2247351.19 212869.29 2376132.06 2271588.28 2278007.42 2401281.09 2463888.11 2437472.04 2431351.00 2341763.02 240
CostFormer3617.85 2074007.23 2092449.73 2252012.71 2241698.05 2247351.19 212869.29 2376132.06 2271588.28 2278007.42 2401281.09 2463888.11 2437472.04 2431351.00 2341763.02 240
tpm3617.85 2074007.23 2092449.73 2252012.71 2241698.05 2247351.19 212869.29 2376132.06 2271588.28 2278007.42 2401281.09 2463888.11 2437472.04 2431351.00 2341763.02 240
MVS_111021_HR3742.80 2114330.34 2141980.20 2192484.31 2362259.52 23914973.80 244515.90 2246500.13 2351949.21 2376146.89 227535.66 2112593.66 2264880.76 228986.37 2201087.43 228
MAR-MVS3973.16 2124387.92 2152728.86 2313345.27 2453341.39 24911403.90 237798.76 2346555.62 2372569.29 2446514.86 229834.97 2313237.43 2405891.08 2331577.54 2391607.76 232
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-MVS3981.10 2134731.32 2181730.42 2132191.51 2311949.98 23416473.90 246355.33 1967172.90 2431622.98 2317879.79 239434.33 2022428.11 2245762.12 232689.04 196813.18 202
GST-MVS4000.00 2144533.33 2162400.00 2242400.00 2352400.00 2407200.00 2112400.00 2537200.00 2442400.00 2437200.00 2352400.00 2502400.00 2237200.00 2412400.00 2462400.00 245
SED-MVS4062.74 2154671.13 2172237.56 2232643.17 2392465.14 24113996.40 242493.26 2167619.38 2452107.24 2387416.93 237610.24 2163088.29 2396075.14 2381078.39 2311159.26 229
MSP-MVS4296.20 2164911.12 2202451.45 2292725.60 2402598.35 24316203.30 245515.86 2207016.02 2392363.85 2396894.28 231887.23 2323023.43 2355973.88 2341620.04 2401732.56 236
API-MVS4380.83 2174906.56 2192803.67 2323844.00 2463116.00 24813454.00 241901.00 2416511.00 2362794.00 2457365.00 236754.00 2283634.00 2416622.00 2401914.00 2451661.00 235
OMC-MVS5022.26 2185748.82 2212842.58 2334905.27 2483101.27 24714933.60 243812.24 2359278.40 2462959.29 2468800.17 2441092.24 2443806.30 2427568.54 2471389.60 2381620.18 234
CLD-MVS7338.25 2198341.00 2224330.00 2344902.00 2474991.00 25023318.00 248728.00 23314437.00 2534378.00 24813379.00 249824.00 2305708.00 24711429.00 2531674.00 2442291.00 244
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 2208776.23 2234410.16 2355298.55 2495631.53 25134329.90 2501504.57 25111554.00 2523896.41 24715111.00 250812.19 2295985.63 2483516.20 2152963.23 2471613.31 233
ZNCC-MVS9999.00 2219999.00 2249999.00 2379999.00 2529999.00 2549999.00 2309999.00 2579999.00 2479999.00 2519999.00 2459999.00 2539999.00 2499999.00 2489999.00 2509999.00 248
UA-Net10000.00 22210000.00 22510000.00 23810000.00 25310000.00 25510000.00 23110000.00 25810000.00 24810000.00 25210000.00 24610000.00 25410000.00 25010000.00 24910000.00 25110000.00 249
uncertanet10000.00 22210000.00 22510000.00 23810000.00 25310000.00 25510000.00 23110000.00 25810000.00 24810000.00 25210000.00 24610000.00 25410000.00 25010000.00 24910000.00 25110000.00 249
uanet10000.00 22210000.00 22510000.00 23810000.00 25310000.00 25510000.00 23110000.00 25810000.00 24810000.00 25210000.00 24610000.00 25410000.00 25010000.00 24910000.00 25110000.00 249
MVEpermissive10021.00 2210550.67 22510002.44 22812195.33 2416242.00 2508768.00 25330896.00 2494451.00 25410331.00 2516247.00 24918296.00 251283.00 18721484.00 2547364.00 2425912.00 2496334.00 247
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 22611772.44 2297637.33 2369120.00 2518206.00 25222252.00 2472010.00 25224984.00 2547458.00 25022596.00 2522940.00 25110260.00 25311100.00 2523492.00 2484446.00 246
LTVRE_ROB20565.47 2323378.08 22722805.00 23025097.33 24215500.00 25619201.00 25842712.00 2516055.00 25538388.00 25516926.00 25538534.00 2537071.00 25235653.00 25529475.00 25410584.00 25420438.00 253
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 22834443.44 23127094.33 24329249.00 25725246.00 25951144.00 2526705.00 25642886.00 25622888.00 25648534.00 25413263.00 25737507.00 25679298.00 25516024.00 25518530.00 252
114514_t99999.00 22999999.00 23299999.00 24499999.00 25899999.00 26099999.00 25399999.00 26199999.00 25799999.00 25799999.00 25599999.00 25899999.00 25799999.00 25699999.00 25699999.00 254
PHI-MVS99999.00 22999999.00 23299999.00 24499999.00 25899999.00 26099999.00 25399999.00 26199999.00 25799999.00 25799999.00 25599999.00 25899999.00 25799999.00 25699999.00 25699999.00 254
MP-MVS-pluss833433.63 2311111219.60 23775.70 12274.28 12473.29 128284.50 12611.35 120238.58 13265.86 126255.35 13914.55 119115.69 14210000000.00 26131.94 11938.12 125
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
zzz-MVS833442.10 2321111233.77 23867.09 11665.59 12264.81 126284.50 12610000000.00 266219.97 13059.62 124229.89 13312.72 117103.00 139203.67 13927.93 11733.46 116
MTAPA833442.10 2321111233.77 23867.09 11665.59 12264.81 126284.50 12610000000.00 266219.97 13059.62 124229.89 13312.72 117103.00 139203.67 13927.93 11733.46 116
XVG-OURS-SEG-HR999999.00 234999999.00 234999999.00 246999999.00 260999999.00 262999999.00 255999999.00 263999999.00 259999999.00 259999999.00 257999999.00 260999999.00 259999999.00 258999999.00 258999999.00 256
XVG-OURS999999.00 234999999.00 234999999.00 246999999.00 260999999.00 262999999.00 255999999.00 263999999.00 259999999.00 259999999.00 257999999.00 260999999.00 259999999.00 258999999.00 258999999.00 256
XVG-ACMP-BASELINE999999.00 234999999.00 234999999.00 246999999.00 260999999.00 262999999.00 255999999.00 263999999.00 259999999.00 259999999.00 257999999.00 260999999.00 259999999.00 258999999.00 258999999.00 256
cl-mvsnet210000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
miper_ehance_all_eth10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
miper_enhance_ethall10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
cl-mvsnet_10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
cl-mvsnet110000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
eth_miper_zixun_eth10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
testtj10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
ET-MVSNet_ETH3D10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
UniMVSNet_ETH3D10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
miper_lstm_enhance10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
D2MVS10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
test_yl10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
thisisatest053010000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
Anonymous2024052910000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
Anonymous20240521110000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
DCV-MVSNet10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
tttt051710000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
our_test_310000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
thisisatest051510000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
ppachtmachnet_test10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
SMA-MVScopyleft10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
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-MVS10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
test_part110000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
thres100view90010000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
tfpnnormal10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
tfpn200view910000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
cl_fuxian10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
IterMVS-SCA-FT10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
pmmvs610000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
pmmvs510000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
Anonymous2023121110000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
pmmvs-eth3d10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
Anonymous2023120610000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
SCA10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
Patchmatch-test10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
Patchmatch-RL test10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
canonicalmvs10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
anonymousdsp10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
FIs10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
FC-MVSNet-test10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
sosnet-low-res10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
AllTest10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
testing_210000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
RRT_MVS10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
HPM-MVS++copyleft10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
XVS10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
pm-mvs110000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
X-MVStestdata10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
APDe-MVS10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
APD-MVS_3200maxsize10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
pmmvs410000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
test-LLR10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
TESTMET0.1,110000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
test-mter10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
testgi10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
test20.0310000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
thres600view710000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
MP-MVScopyleft10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
thres40010000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
test12310000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
thres20010000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
test0.0.03 110000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
pmmvs310000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
EMVS10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
E-PMN10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
PGM-MVS10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
MCST-MVS10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
MVS_Test10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
PMMVS210000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
PM-MVS10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
HQP_MVS10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
mPP-MVS10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
DWT-MVSNet_test10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
HPM-MVS_fast10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
RRT_test8_iter0510000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
HPM-MVScopyleft10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
EPNet_dtu10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
NCCC10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
CP-MVS10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
CPTT-MVS10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
HQP-MVS10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
IS-MVSNet10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
PAPM_NR10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
PAPR10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
Vis-MVSNet (Re-imp)10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
PatchMatch-RL10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
TDRefinement10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
EPP-MVSNet10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
PMMVS10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
PAPM10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
ACMMPcopyleft10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
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 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
wuyk23d10000000.00 23710000000.00 24010000000.00 24910000000.00 26310000000.00 26510000000.00 25810000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
APD-MVScopyleft1000000000.00 3341000000000.00 3371000000000.00 3481000000000.00 3691000000000.00 3701000000000.00 3601000000000.00 3711000000000.00 3651000000000.00 3661000000000.00 3641000000000.00 3691000000000.00 3661000000000.00 3641000000000.00 3641000000000.00 362
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
ZD-MVS1584.00 2091821.00 232378.00 2003721.00 2081231.00 2091833.00 190321.00 1921224.00 2022103.00 202692.00 198
RE-MVS-def610.10 142610.10 168610.10 180610.10 147610.10 227610.10 151610.10 180610.10 148610.10 214610.10 151610.10 189610.10 187
IU-MVS2725.60 2402598.35 243515.86 2207016.02 2392363.85 2395973.88 2341620.04 2401732.56 236
OPU-MVS2451.45 2292725.60 2402598.35 2439203.30 2266894.28 231887.23 2323023.43 2355973.88 2341620.04 2401732.56 236
test_241102_TWO515.86 2207016.02 2392363.85 2396894.28 231887.23 2323023.43 2355973.88 2341620.04 2401732.56 236
test_241102_ONE2725.60 2402598.35 243515.86 2207016.02 2392363.85 2396894.28 231887.23 2323023.43 235
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 2211363.85 2144894.28 219387.23 1992023.43 2153973.88 218620.04 191732.56 196
test_0728_SECOND1451.45 2041725.60 2121598.35 2169203.30 226315.86 1922023.43 2153973.88 218620.04 191732.56 196
test07261725.60 2121598.35 2169203.30 226315.86 1925016.02 2211363.85 2144894.28 219387.23 199
GSMVS10000000.00 259
test_part210000000.00 26310000000.00 26510000000.00 262
sam_mvs110000000.00 26310000000.00 259
sam_mvs10000000.00 263
ambc999.00 186999.00 194999.00 199999.00 154999.00 242999.00 195999.00 162999.00 237999.00 191999.00 171999.00 223999.00 220
MTGPAbinary10000000.00 266
test_post110000000.00 25810000000.00 26010000000.00 26310000000.00 26210000000.00 261
test_post10000000.00 26010000000.00 26310000000.00 262
patchmatchnet-post10000000.00 26010000000.00 26310000000.00 262
GG-mvs-BLEND596.01 169611.29 170600.33 177790.30 150513.12 218552.71 173567.40 143662.54 224531.67 159503.93 145779.80 205656.02 190
MTMP10000000.00 25810000000.00 266
gm-plane-assit611.29 170600.33 177579.21 147567.40 143531.67 159503.93 145
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 24910000000.00 26310000000.00 26510000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
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 26310000000.00 265
plane_prior610000000.00 26310000000.00 26510000000.00 263
plane_prior510000000.00 26610000000.00 26210000000.00 26110000000.00 26110000000.00 259
plane_prior410000000.00 260
plane_prior310000000.00 26510000000.00 26210000000.00 262
plane_prior210000000.00 25810000000.00 262
plane_prior110000000.00 263
plane_prior1.00 532.00 832.00 842.00 82
n214.20 123
nn1.42 59
door-mid1.42 59
lessismore_v0569.20 167667.25 183644.68 18396.45 155428.86 1601514.17 186204.21 180756.58 1801061.60 180197.79 158306.34 169
LGP-MVS_train10000000.00 24910000000.00 26310000000.00 26510000000.00 26610000000.00 26210000000.00 26210000000.00 26010000000.00 26310000000.00 26210000000.00 26110000000.00 26110000000.00 259
test111.00 54
door99.00 157
HQP5-MVS10000000.00 265
HQP-NCC10000000.00 26310000000.00 25810000000.00 26210000000.00 262
ACMP_Plane10000000.00 26310000000.00 25810000000.00 26210000000.00 262
BP-MVS10000000.00 261
HQP4-MVS10000000.00 26210000000.00 26210000000.00 259
HQP3-MVS10000000.00 26610000000.00 261
HQP2-MVS10000000.00 263
NP-MVS10000000.00 26310000000.00 26510000000.00 260
MDTV_nov1_ep13_2view9.99 1059.99 1039.99 1049.99 1039.99 1039.99 1019.99 102
MDTV_nov1_ep139.99 919.99 1039.99 1059.99 1039.99 1099.99 1049.99 1039.99 1009.99 1039.99 1049.99 1019.99 103
ACMMP++_ref10000000.00 261
ACMMP++10000000.00 261
Test By Simon990.00 236
ITE_SJBPF2014.00 2211998.00 2231992.00 235701.00 2325989.00 2261812.00 2363612.00 208650.00 2182852.00 2334601.00 2271195.00 2331198.00 230
DeepMVS_CXcopyleft1.00 461.00 531.00 531.00 541.00 531.00 521.00 501.00 521.00 531.00 511.00 511.00 51