High-resolution multi-view benchmark

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

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

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

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

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




Method Infoallhigh-res
multi-view		indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysorted 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
save fliter0.00 10.00 10.00 10.00 10.00 1
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
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
test_80.00 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
agg_prior0.00 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_prior40.00 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
test_prior0.00 10.00 10.00 10.00 10.00 10.00 1
新几何10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
旧先验10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test2220.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
13140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
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
test120.00 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+-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
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
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
plane_prior1.00 532.00 832.00 842.00 82
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
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
dp87.20 106113.80 1107.42 9610.50 1148.88 104298.82 1282.70 97510.35 1447.79 102172.93 1203.37 929.16 10314.00 1133.71 924.23 91
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
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
XXY-MVS15.00 10015.00 10215.00 10715.00 11515.00 11715.00 11515.00 12315.00 11615.00 11515.00 11115.00 12015.00 11515.00 11415.00 11515.00 114
BH-w/o40.00 10140.00 10340.00 10940.00 11640.00 11840.00 11640.00 14040.00 11740.00 11740.00 11240.00 13840.00 11740.00 11540.00 13140.00 126
BH-untuned40.00 10140.00 10340.00 10940.00 11640.00 11840.00 11640.00 14040.00 11740.00 11740.00 11240.00 13840.00 11740.00 11540.00 13140.00 126
BH-RMVSNet40.00 10140.00 10340.00 10940.00 11640.00 11840.00 11640.00 14040.00 11740.00 11740.00 11240.00 13840.00 11740.00 11540.00 13140.00 126
TR-MVS40.00 10140.00 10340.00 10940.00 11640.00 11840.00 11640.00 14040.00 11740.00 11740.00 11240.00 13840.00 11740.00 11540.00 13140.00 126
GBi-Net44.67 10549.24 10730.96 10847.53 12047.57 122126.09 1208.00 10876.99 12126.09 11673.50 11711.27 11530.55 11661.12 11912.58 11414.75 113
new_pmnet88.14 10798.62 10856.70 11398.14 12956.07 123246.79 12215.37 124148.06 12250.77 121143.13 11823.35 12162.65 12193.26 12068.71 13851.38 137
N_pmnet88.14 10798.62 10856.70 11398.14 12956.07 123246.79 12215.37 124148.06 12250.77 121143.13 11823.35 12162.65 12193.26 12068.71 13851.38 137
zzz-MVS833442.10 2291111233.77 23467.09 11565.59 12164.81 125284.50 12410000000.00 261219.97 12859.62 123229.89 13212.72 116103.00 137203.67 13827.93 11633.46 115
MTAPA833442.10 2291111233.77 23467.09 11565.59 12164.81 125284.50 12410000000.00 261219.97 12859.62 123229.89 13212.72 116103.00 137203.67 13827.93 11633.46 115
MP-MVS-pluss833433.63 2281111219.60 23375.70 12174.28 12373.29 127284.50 12411.35 120238.58 13065.86 125255.35 13814.55 118115.69 14010000000.00 25631.94 11838.12 124
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 113133.18 11575.70 12174.28 12373.29 127284.50 12411.35 120238.58 13065.86 125255.35 13814.55 118115.69 140222.18 14031.94 11838.12 124
CANet110.62 109124.04 11170.34 11782.03 12574.27 129325.54 12925.25 126207.16 12469.28 127194.38 12127.53 12395.79 130147.76 12437.43 12040.97 130
CANet_DTU110.62 109124.04 11170.34 11782.03 12574.27 129325.54 12925.25 126207.16 12469.28 127194.38 12127.53 12395.79 130147.76 12437.43 12040.97 130
MVS_0304110.62 109124.04 11170.34 11782.03 12574.27 129325.54 12925.25 126207.16 12469.28 127194.38 12127.53 12395.79 130147.76 12437.43 12040.97 130
UGNet110.62 109124.04 11170.34 11782.03 12574.27 129325.54 12925.25 126207.16 12469.28 127194.38 12127.53 12395.79 130147.76 12437.43 12040.97 130
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
DSMNet-mixed131.33 121143.00 12396.33 13399.00 13181.00 133201.00 12145.00 144335.00 14299.00 141251.00 13738.00 137110.00 139120.00 12399.00 14098.00 139
PVSNet_Blended_VisFu136.90 122155.40 12481.40 130111.00 13996.20 134407.00 14025.90 130251.60 13285.10 138240.50 13437.00 13499.90 134199.80 13540.70 13548.10 134
PVSNet_BlendedMVS136.90 122155.40 12481.40 130111.00 13996.20 134407.00 14025.90 130251.60 13285.10 138240.50 13437.00 13499.90 134199.80 13540.70 13548.10 134
PVSNet_Blended136.90 122155.40 12481.40 130111.00 13996.20 134407.00 14025.90 130251.60 13285.10 138240.50 13437.00 13499.90 134199.80 13540.70 13548.10 134
FMVSNet5124.76 114140.93 11676.26 123107.44 132100.17 137329.88 13327.12 133259.44 13574.30 131204.34 12530.74 12792.41 123196.98 12838.15 12436.19 117
test1124.76 114140.93 11676.26 123107.44 132100.17 137329.88 13327.12 133259.44 13574.30 131204.34 12530.74 12792.41 123196.98 12838.15 12436.19 117
FMVSNet3124.76 114140.93 11676.26 123107.44 132100.17 137329.88 13327.12 133259.44 13574.30 131204.34 12530.74 12792.41 123196.98 12838.15 12436.19 117
FMVSNet2124.76 114140.93 11676.26 123107.44 132100.17 137329.88 13327.12 133259.44 13574.30 131204.34 12530.74 12792.41 123196.98 12838.15 12436.19 117
FMVSNet1124.76 114140.93 11676.26 123107.44 132100.17 137329.88 13327.12 133259.44 13574.30 131204.34 12530.74 12792.41 123196.98 12838.15 12436.19 117
MIMVSNet1124.76 114140.93 11676.26 123107.44 132100.17 137329.88 13327.12 133259.44 13574.30 131204.34 12530.74 12792.41 123196.98 12838.15 12436.19 117
MIMVSNet124.76 114140.93 11676.26 123107.44 132100.17 137329.88 13327.12 133259.44 13574.30 131204.34 12530.74 12792.41 123196.98 12838.15 12436.19 117
DP-MVS264.78 125296.02 127171.04 134191.70 142183.96 144827.10 15078.36 145438.24 143176.64 142435.12 14065.04 143230.52 144334.02 141117.96 14198.64 140
tmp_tt371.08 126412.78 128246.00 136231.00 143197.00 1451293.00 162376.00 197756.00 152609.00 17771.00 116106.00 152195.00 142102.00 122171.00 150346.00 173
RPSCF394.81 127445.63 129242.35 135276.55 145253.63 1461207.27 16090.69 150715.56 150241.57 144684.87 147111.96 153320.02 145548.38 148133.81 142153.39 142
EG-PatchMatch MVS437.03 128493.12 132268.77 137264.80 144260.20 1471491.80 16598.00 154723.20 151238.80 143722.40 14863.10 142382.00 148629.00 151207.00 157164.10 145
MVP-Stereo473.58 131533.67 133293.33 138376.00 149318.00 1481461.00 16396.00 151835.00 154290.00 148804.00 15297.00 148383.00 150688.00 158156.00 143179.00 147
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 131533.67 133293.33 138376.00 149318.00 1481461.00 16396.00 151835.00 154290.00 148804.00 15297.00 148383.00 150688.00 158156.00 143179.00 147
DELS-MVS514.57 135587.73 138295.12 140343.03 146328.09 1501540.48 167116.22 160988.59 158325.44 151906.22 156119.86 155365.72 146788.60 160161.09 147191.55 150
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
tpmvs501.65 134567.42 136304.33 141395.39 151356.32 1511512.04 166216.53 185994.15 159350.16 153804.16 154119.38 154380.98 147555.14 149159.87 146175.69 146
PatchmatchNetpermissive492.52 133551.22 135316.40 142400.20 152357.90 1521277.10 161115.80 1591034.60 166315.90 150874.00 155155.10 158402.20 152629.50 152158.80 145189.10 149
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
ACMH+729.97 2661.38 142754.00 144383.51 147368.96 148376.38 1532483.74 18382.42 1471089.25 167333.39 1521219.68 17166.53 144573.60 169957.86 166184.14 153200.56 151
ADS-MVSNet2443.33 129482.84 130324.79 144434.94 156387.73 1541110.57 15887.69 148887.02 156282.92 145779.29 14998.57 150422.76 153502.40 142162.19 148163.87 143
ADS-MVSNet443.33 129482.84 130324.79 144434.94 156387.73 1541110.57 15887.69 148887.02 156282.92 145779.29 14998.57 150422.76 153502.40 142162.19 148163.87 143
IB-MVS872.44 4616.41 141700.96 143362.78 146426.10 155409.25 1561822.69 168124.42 1681186.23 169366.85 1551079.42 168190.60 171451.78 155930.72 165181.59 152227.30 153
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
CSCG826.03 155963.29 159414.24 149421.52 154426.11 1572230.35 172179.52 1811827.44 188733.43 187933.12 158281.25 184545.23 1611800.35 194262.64 170271.38 161
DP-MVS Recon516.25 136581.17 137321.48 143361.02 147429.00 1581995.36 17178.48 146796.20 153283.32 147796.02 15196.78 147382.98 149636.72 153186.66 154152.46 141
IterMVS615.05 140691.66 142385.23 148516.40 159454.80 1591863.80 169102.10 1561142.20 168364.10 1541093.20 170135.00 156480.40 156826.90 161181.20 151220.50 152
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
Patchmtry1090.75 1701198.88 171766.38 1821290.90 201485.90 1602423.98 1811267.30 2441297.17 171923.90 189923.40 1571215.54 240990.23 187667.90 155779.80 201823.02 200
PMVScopyleft863.65 3957.08 1601054.11 168666.00 174401.00 153495.00 1613790.00 191279.00 1871607.00 186521.00 1691745.00 18690.00 1451105.00 198639.00 154415.00 183398.00 180
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
gg-mvs-nofinetune594.69 137605.37 139562.67 164617.29 171500.33 162772.30 146413.12 204579.21 145552.71 171567.40 141662.54 219531.67 157503.93 144779.80 201656.02 187
ACMH993.80 5967.92 1611106.11 170553.33 163494.00 158534.00 1633581.00 189136.00 1701585.00 185478.00 1661871.00 18790.00 145839.00 1811460.00 188260.00 169287.00 164
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
new-patchmatchnet766.12 145859.03 149487.38 160595.68 161536.14 1642346.27 174142.51 1731488.08 176422.43 1561361.32 175163.65 161628.60 1731003.74 175207.61 158297.41 166
mvs_anonymous774.90 147882.28 152452.77 150636.50 172537.20 1652348.80 175120.30 1611504.30 177474.40 1601371.10 176186.90 164564.70 1631078.90 178219.30 160256.40 154
casdiffmvs774.90 147882.28 152452.77 150636.50 172537.20 1652348.80 175120.30 1611504.30 177474.40 1601371.10 176186.90 164564.70 1631078.90 178219.30 160256.40 154
diffmvs774.90 147882.28 152452.77 150636.50 172537.20 1652348.80 175120.30 1611504.30 177474.40 1601371.10 176186.90 164564.70 1631078.90 178219.30 160256.40 154
baseline2774.90 147882.28 152452.77 150636.50 172537.20 1652348.80 175120.30 1611504.30 177474.40 1601371.10 176186.90 164564.70 1631078.90 178219.30 160256.40 154
baseline1774.90 147882.28 152452.77 150636.50 172537.20 1652348.80 175120.30 1611504.30 177474.40 1601371.10 176186.90 164564.70 1631078.90 178219.30 160256.40 154
baseline774.90 147882.28 152452.77 150636.50 172537.20 1652348.80 175120.30 1611504.30 177474.40 1601371.10 176186.90 164564.70 1631078.90 178219.30 160256.40 154
IterMVS-LS758.94 144856.56 148466.10 157606.60 164546.80 1712309.90 173122.20 1671402.80 174463.50 1591348.20 173192.60 172574.60 1701028.60 176234.60 168276.90 162
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
SixPastTwentyTwo773.62 146869.37 151486.35 159603.45 163547.15 1722532.14 184106.92 1581434.95 175428.08 1571360.56 174165.15 162628.96 174984.09 167209.01 159282.94 163
Gipumacopyleft689.75 143767.00 145458.00 156613.00 170549.00 1731943.00 170187.00 1821230.00 170518.00 1681092.00 169203.00 177564.00 162892.00 164225.00 166261.00 160
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PVSNet1207.94 6829.56 156937.18 158506.69 161645.55 178585.72 1742477.98 182130.52 1691578.29 184509.50 1671460.01 182194.90 173637.19 1751170.78 185267.07 172297.17 165
GG-mvs-BLEND596.01 167611.29 167600.33 175790.30 147513.12 214552.71 171567.40 141662.54 219531.67 157503.93 144779.80 201656.02 187
gm-plane-assit611.29 167600.33 175579.21 145567.40 141531.67 157503.93 144
CR-MVSNet612.36 139617.81 141596.01 167611.29 167600.33 175790.30 147513.12 214579.21 145552.71 171567.40 141662.54 219531.67 157503.93 144779.80 201656.02 187
SR-MVS610.10 138610.10 140610.10 169610.10 166610.10 178610.10 145610.10 223610.10 149610.10 178610.10 146610.10 211610.10 172610.10 150610.10 187610.10 185
ACMP1246.57 71086.24 1691235.17 172639.45 170596.53 162639.91 1793904.24 192152.04 1761851.54 189566.58 1751997.95 189138.50 157938.30 1851605.46 190303.70 178340.14 171
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
lessismore_v0569.20 165667.25 180644.68 18096.45 153428.86 1581514.17 183204.21 178756.58 1771061.60 177197.79 156306.34 167
MVSTER890.06 1591005.91 167542.52 162736.13 183653.90 1812616.56 186145.22 1751692.10 187555.69 1741554.72 184266.25 183660.02 1761219.66 186266.84 171313.64 169
PVSNet_01661.03 9968.54 1621066.82 169673.70 175706.94 181695.69 1822669.02 187153.52 1772108.17 193605.54 1761679.14 185213.26 181886.75 1841236.76 187229.01 167438.67 181
MSLP-MVS++1242.93 1741411.08 176738.48 180712.71 182712.68 1834168.17 194136.50 1712276.40 195613.28 1792368.60 194161.61 1601130.38 1991964.54 197297.88 175372.39 176
ACMM1311.08 81165.06 1731332.72 175662.07 173584.90 160715.99 1844373.59 196153.99 1781880.27 190709.02 1842316.97 191188.63 170939.89 1861484.30 189302.78 177330.34 170
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MVS_111021_LR1136.45 1721298.72 174649.64 171756.17 184726.26 1853785.94 190138.15 1722190.64 194629.63 1802064.39 190165.45 163874.83 1831678.43 193279.70 173347.82 174
MG-MVS1256.50 1751432.00 177730.00 179610.00 165760.00 1864720.00 197169.00 1791920.00 191723.00 1862510.00 197201.00 1751050.00 1961645.00 192390.00 182380.00 177
ACMMPR1296.60 1761480.82 178743.96 181899.25 188763.47 1874305.47 195143.90 1742530.94 198683.99 1812346.34 193201.65 1761098.25 1971920.59 196295.21 174370.16 175
test_04021110.00 1711260.00 173660.00 172900.00 189780.00 1883300.00 188210.00 1842040.00 192690.00 1821950.00 188300.00 187810.00 1801620.00 191330.00 179390.00 179
K. test v3877.74 158980.16 160570.46 1661316.85 203813.15 1892565.52 185103.78 1571509.49 183548.33 1701258.90 172219.93 182587.82 1711102.37 184196.30 155310.42 168
DeepC-MVS_fast2190.19 121535.59 1791886.82 182481.89 158847.73 185830.16 1907943.84 216189.23 1832398.83 196691.73 1832341.13 192209.16 179230.25 1431999.25 198360.46 180385.25 178
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
TSAR-MVS + GP.1386.84 1771622.84 180678.81 176952.13 190840.17 1915358.21 200170.75 1802650.47 199713.54 1852394.28 195209.42 180855.56 1821854.36 195302.42 176340.71 172
PatchT856.34 157860.99 150842.38 1831290.90 201880.90 192790.30 1471267.30 244579.21 145923.90 189567.40 141662.54 219990.23 187887.56 163779.80 201656.02 187
FPMVS1407.00 1781495.59 1791141.23 192648.01 179893.85 1934124.00 193503.81 2133219.04 201742.72 1882498.84 196157.98 1591727.83 204832.93 162732.98 200802.00 196
JIA-IIPM804.30 153835.64 146710.26 177885.90 186895.90 194455.98 143668.73 2251297.17 1711002.26 1991001.67 166655.98 217756.98 178667.90 155885.21 213477.90 182
RPMNet804.30 153835.64 146710.26 177885.90 186895.90 194455.98 143668.73 2251297.17 1711002.26 1991001.67 166655.98 217756.98 178667.90 155885.21 213477.90 182
ambc999.00 184999.00 191999.00 196999.00 151999.00 237999.00 192999.00 159999.00 232999.00 189999.00 168999.00 219999.00 217
OurMVSNet-221017-0999.00 163999.00 161999.00 184999.00 191999.00 196999.00 151999.00 237999.00 160999.00 192999.00 159999.00 232999.00 189999.00 168999.00 219999.00 217
EPMVS999.00 163999.00 161999.00 184999.00 191999.00 196999.00 151999.00 237999.00 160999.00 192999.00 159999.00 232999.00 189999.00 168999.00 219999.00 217
uanet_test1000.00 1651000.00 1631000.00 1871000.00 1941000.00 1991000.00 1541000.00 2401000.00 1621000.00 1951000.00 1621000.00 2351000.00 1921000.00 1711000.00 2221000.00 220
sosnet1000.00 1651000.00 1631000.00 1871000.00 1941000.00 1991000.00 1541000.00 2401000.00 1621000.00 1951000.00 1621000.00 2351000.00 1921000.00 1711000.00 2221000.00 220
USDC1000.00 1651000.00 1631000.00 1871000.00 1941000.00 1991000.00 1541000.00 2401000.00 1621000.00 1951000.00 1621000.00 2351000.00 1921000.00 1711000.00 2221000.00 220
TinyColmap1000.00 1651000.00 1631000.00 1871000.00 1941000.00 1991000.00 1541000.00 2401000.00 1621000.00 1951000.00 1621000.00 2351000.00 1921000.00 1711000.00 2221000.00 220
COLMAP_ROBcopyleft2144.59 111658.33 1801869.33 1811025.33 1911030.00 1981023.00 2035311.00 199359.00 1953044.00 200937.00 1912892.00 198332.00 1901440.00 2012312.00 199607.00 186613.00 186
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 1812113.11 1831173.33 1951231.00 1991174.00 2046297.00 202392.00 1993356.00 2031087.00 2013082.00 199361.00 1941670.00 2032523.00 201689.00 192676.00 191
PCF-MVS4335.85 202272.23 1872597.03 1891297.84 1961701.20 2071332.37 2058105.11 217451.45 2074031.84 2071099.10 2023966.50 206467.45 2011734.05 2052701.68 203848.94 210827.11 201
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
PLCcopyleft2858.82 162192.92 1852474.00 1871349.67 1971407.00 2041356.00 2067164.00 207475.00 2113970.00 2061237.00 2073765.00 205451.00 2001891.00 2093006.00 204791.00 206802.00 196
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVS_ROBcopyleft1936.51 101959.51 1822224.88 1851163.39 1941253.91 2001434.22 2077065.71 206272.76 1862472.29 1971647.54 2283538.72 202200.37 1741496.48 2022575.17 202997.45 218559.48 184
MVS-HIRNet2125.39 1842452.68 1861143.53 1932938.33 2391446.92 2086083.19 201391.74 1983801.71 2051202.10 2053439.72 200492.73 2031304.35 2003048.25 205676.32 191679.32 192
CMPMVSbinary2623.62 151983.08 1832156.14 1841463.89 2051414.80 2051517.00 2095239.20 198867.40 2313310.30 2021128.70 2033489.90 201366.75 1952030.20 2152427.60 2001160.60 227844.46 203
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
AdaColmapbinary2570.77 1932948.61 1951437.24 2011873.64 2171526.60 2107819.77 214373.97 1964970.45 2151479.29 2154648.46 213525.80 2061904.97 2104150.42 218695.69 196880.14 208
3Dnovator2482.06 142531.17 1912839.56 1931606.00 2061732.00 2111557.00 2118375.00 219483.00 2124370.00 2111371.00 2134200.00 207350.00 1922207.00 2163877.00 213798.00 2071054.00 224
OpenMVScopyleft2352.88 132263.08 1862530.89 1881459.67 2041767.00 2151591.00 2127932.00 215399.00 2003643.00 2041176.00 2043569.00 203297.00 1861927.00 2113302.00 206693.00 195861.00 204
test_0728_SECOND1451.45 2021725.60 2081598.35 2139203.30 223315.86 1902023.43 2123973.88 214620.04 188732.56 193
test07261725.60 2081598.35 2139203.30 223315.86 1905016.02 2171363.85 2104894.28 215387.23 196
SD-MVS2654.53 1943055.56 1981451.45 2021725.60 2081598.35 2139203.30 223315.86 1905016.02 2171363.85 2104894.28 215387.23 1962023.43 2123973.88 214620.04 188732.56 193
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
CHOSEN 280x4202340.81 1882643.03 1901434.14 1982025.55 2241629.36 2166542.40 203412.49 2014219.70 2081547.02 2184328.52 208650.74 2141798.26 2063333.17 207727.72 197874.79 205
CHOSEN 1792x26882340.81 1882643.03 1901434.14 1982025.55 2241629.36 2166542.40 203412.49 2014219.70 2081547.02 2184328.52 208650.74 2141798.26 2063333.17 207727.72 197874.79 205
HyFIR lowres test2340.81 1882643.03 1901434.14 1982025.55 2241629.36 2166542.40 203412.49 2014219.70 2081547.02 2184328.52 208650.74 2141798.26 2063333.17 207727.72 197874.79 205
SteuartSystems-ACMMP2891.50 1983284.78 2001711.67 2101954.00 2181655.00 21910117.00 232445.00 2065102.00 2201375.00 2145126.00 219351.00 1932638.00 2284402.00 221691.00 194842.00 202
Skip Steuart: Steuart Systems R&D Blog.
LF4IMVS2699.50 1963049.67 1971649.00 2081755.00 2121689.00 2208330.00 218464.00 2094997.00 2161528.00 2164763.00 214568.00 2092296.00 2184215.00 219827.00 209962.00 214
tpm23617.85 2054007.23 2062449.73 2222012.71 2201698.05 2217351.19 209869.29 2326132.06 2231588.28 2238007.42 2351281.09 2413888.11 2397472.04 2381351.00 2291763.02 236
tpm cat13617.85 2054007.23 2062449.73 2222012.71 2201698.05 2217351.19 209869.29 2326132.06 2231588.28 2238007.42 2351281.09 2413888.11 2397472.04 2381351.00 2291763.02 236
CostFormer3617.85 2054007.23 2062449.73 2222012.71 2201698.05 2217351.19 209869.29 2326132.06 2231588.28 2238007.42 2351281.09 2413888.11 2397472.04 2381351.00 2291763.02 236
tpm3617.85 2054007.23 2062449.73 2222012.71 2201698.05 2217351.19 209869.29 2326132.06 2231588.28 2238007.42 2351281.09 2413888.11 2397472.04 2381351.00 2291763.02 236
DeepPCF-MVS3452.42 182670.71 1953021.57 1961618.12 2072377.67 2301751.39 2258915.70 222567.44 2214569.74 2131236.84 2064615.63 212513.23 2042291.32 2173515.48 210882.39 212811.66 198
tpmrst2557.50 1922847.12 1941688.66 2091784.08 2161778.25 2267445.50 213342.14 1934471.54 2121534.55 2174382.10 211530.10 2072361.21 2194142.81 217991.22 217926.51 210
DPM-MVS3268.00 2013762.89 2031783.33 2121756.00 2131806.00 22712319.00 235307.00 1886319.00 2281557.00 2215763.00 221302.00 1882609.00 2245061.00 225482.00 184935.00 211
OPM-MVS3268.00 2013762.89 2031783.33 2121756.00 2131806.00 22712319.00 235307.00 1886319.00 2281557.00 2215763.00 221302.00 1882609.00 2245061.00 225482.00 184935.00 211
DeepC-MVS3917.13 193155.06 2003601.83 2021814.72 2142515.52 2331941.53 22910432.50 233589.42 2224789.45 2141298.65 2097677.31 233578.35 2102589.53 2223611.78 212923.52 215913.10 209
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
MSP-MVS3981.10 2114731.32 2141730.42 2112191.51 2271949.98 23016473.90 242355.33 1947172.90 2391622.98 2277879.79 234434.33 1992428.11 2215762.12 228689.04 193813.18 199
ITE_SJBPF2014.00 2191998.00 2191992.00 231701.00 2275989.00 2221812.00 2323612.00 204650.00 2132852.00 2304601.00 2231195.00 2281198.00 226
3Dnovator+3414.41 173146.67 1993537.00 2011975.67 2162310.00 2282005.00 23210100.00 231626.00 2245753.00 2211803.00 2315179.00 220487.00 2022622.00 2264550.00 2221025.00 2261300.00 227
Vis-MVSNetpermissive2877.42 1973170.00 1991999.67 2181673.00 2062042.00 2338593.00 220474.00 2106452.00 2301268.00 2085125.00 218339.00 1913004.00 2314222.00 220384.00 181953.00 213
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
TSAR-MVS + MP.3528.01 2044065.89 2101914.35 2152349.10 2292141.30 23412362.70 237417.60 2056717.80 2341759.40 2306497.50 224518.18 2052629.38 2275164.32 227806.40 208972.38 216
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
MVS_111021_HR3742.80 2094330.34 2111980.20 2172484.31 2322259.52 23514973.80 240515.90 2206500.13 2311949.21 2336146.89 223535.66 2082593.66 2234880.76 224986.37 2161087.43 225
GST-MVS4000.00 2124533.33 2132400.00 2212400.00 2312400.00 2367200.00 2082400.00 2487200.00 2402400.00 2387200.00 2312400.00 2452400.00 2207200.00 2362400.00 2412400.00 241
TAPA-MVS6309.84 213374.90 2033806.99 2052078.63 2202535.47 2342499.25 2378816.16 221456.05 2086255.60 2271664.52 2296704.88 226629.95 2122768.38 2296343.93 234856.35 211968.25 215
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
IU-MVS2725.60 2352598.35 238515.86 2167016.02 2352363.85 2345973.88 2301620.04 2351732.56 232
OPU-MVS2451.45 2262725.60 2352598.35 2389203.30 2236894.28 227887.23 2273023.43 2325973.88 2301620.04 2351732.56 232
test_241102_ONE2725.60 2352598.35 238515.86 2167016.02 2352363.85 2346894.28 227887.23 2273023.43 232
DVP-MVS4296.20 2134911.12 2162451.45 2262725.60 2352598.35 23816203.30 241515.86 2167016.02 2352363.85 2346894.28 227887.23 2273023.43 2325973.88 2301620.04 2351732.56 232
OMC-MVS5022.26 2155748.82 2172842.58 2304905.27 2433101.27 24214933.60 239812.24 2309278.40 2412959.29 2418800.17 2391092.24 2393806.30 2387568.54 2421389.60 2331620.18 230
API-MVS4380.83 2144906.56 2152803.67 2293844.00 2413116.00 24313454.00 238901.00 2366511.00 2322794.00 2407365.00 232754.00 2233634.00 2376622.00 2351914.00 2401661.00 231
MAR-MVS3973.16 2104387.92 2122728.86 2283345.27 2403341.39 24411403.90 234798.76 2296555.62 2332569.29 2396514.86 225834.97 2263237.43 2365891.08 2291577.54 2341607.76 228
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
CLD-MVS7338.25 2168341.00 2184330.00 2314902.00 2424991.00 24523318.00 244728.00 22814437.00 2484378.00 24313379.00 244824.00 2255708.00 24311429.00 2481674.00 2392291.00 240
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 2178776.23 2194410.16 2325298.55 2445631.53 24634329.90 2461504.57 24611554.00 2473896.41 24215111.00 245812.19 2245985.63 2443516.20 2112963.23 2421613.31 229
CNLPA10738.67 22311772.44 2257637.33 2339120.00 2468206.00 24722252.00 2432010.00 24724984.00 2497458.00 24522596.00 2472940.00 24610260.00 24911100.00 2473492.00 2434446.00 242
MVEpermissive10021.00 2210550.67 22210002.44 22412195.33 2386242.00 2458768.00 24830896.00 2454451.00 24910331.00 2466247.00 24418296.00 246283.00 18521484.00 2507364.00 2375912.00 2446334.00 243
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
ZNCC-MVS9999.00 2189999.00 2209999.00 2349999.00 2479999.00 2499999.00 2279999.00 2529999.00 2429999.00 2469999.00 2409999.00 2489999.00 2459999.00 2439999.00 2459999.00 244
UA-Net10000.00 21910000.00 22110000.00 23510000.00 24810000.00 25010000.00 22810000.00 25310000.00 24310000.00 24710000.00 24110000.00 24910000.00 24610000.00 24410000.00 24610000.00 245
uncertanet10000.00 21910000.00 22110000.00 23510000.00 24810000.00 25010000.00 22810000.00 25310000.00 24310000.00 24710000.00 24110000.00 24910000.00 24610000.00 24410000.00 24610000.00 245
uanet10000.00 21910000.00 22110000.00 23510000.00 24810000.00 25010000.00 22810000.00 25310000.00 24310000.00 24710000.00 24110000.00 24910000.00 24610000.00 24410000.00 24610000.00 245
LTVRE_ROB20565.47 2323378.08 22422805.00 22625097.33 23915500.00 25119201.00 25342712.00 2476055.00 25038388.00 25016926.00 25038534.00 2487071.00 24735653.00 25129475.00 24910584.00 24920438.00 249
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 22534443.44 22727094.33 24029249.00 25225246.00 25451144.00 2486705.00 25142886.00 25122888.00 25148534.00 24913263.00 25237507.00 25279298.00 25016024.00 25018530.00 248
114514_t99999.00 22699999.00 22899999.00 24199999.00 25399999.00 25599999.00 24999999.00 25699999.00 25299999.00 25299999.00 25099999.00 25399999.00 25399999.00 25199999.00 25199999.00 250
PHI-MVS99999.00 22699999.00 22899999.00 24199999.00 25399999.00 25599999.00 24999999.00 25699999.00 25299999.00 25299999.00 25099999.00 25399999.00 25399999.00 25199999.00 25199999.00 250
XVG-OURS-SEG-HR999999.00 231999999.00 230999999.00 243999999.00 255999999.00 257999999.00 251999999.00 258999999.00 254999999.00 254999999.00 252999999.00 255999999.00 255999999.00 253999999.00 253999999.00 252
XVG-OURS999999.00 231999999.00 230999999.00 243999999.00 255999999.00 257999999.00 251999999.00 258999999.00 254999999.00 254999999.00 252999999.00 255999999.00 255999999.00 253999999.00 253999999.00 252
XVG-ACMP-BASELINE999999.00 231999999.00 230999999.00 243999999.00 255999999.00 257999999.00 251999999.00 258999999.00 254999999.00 254999999.00 252999999.00 255999999.00 255999999.00 253999999.00 253999999.00 252
cl-mvsnet210000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
miper_ehance_all_eth10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
miper_enhance_ethall10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
cl-mvsnet_10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
cl-mvsnet110000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
eth_miper_zixun_eth10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
testtj10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
ET-MVSNet_ETH3D10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
UniMVSNet_ETH3D10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
miper_lstm_enhance10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
D2MVS10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
test_yl10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
thisisatest053010000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
Anonymous2024052910000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
Anonymous20240521110000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
DCV-MVSNet10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
tttt051710000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
our_test_310000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
thisisatest051510000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
ppachtmachnet_test10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
SMA-MVS10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
DPE-MVS10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
test_part210000000.00 25810000000.00 26010000000.00 257
test_part110000000.00 24610000000.00 26010000000.00 25410000000.00 26110000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
thres100view90010000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
tfpnnormal10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
tfpn200view910000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
cl_fuxian10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
IterMVS-SCA-FT10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
pmmvs610000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
pmmvs510000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
Anonymous2023121110000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
pmmvs-eth3d10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
Anonymous2023120610000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
SCA10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
Patchmatch-test10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
Patchmatch-RL test10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
canonicalmvs10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
anonymousdsp10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
FIs10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
FC-MVSNet-test10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
sosnet-low-res10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
AllTest10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
TestCases10000000.00 24610000000.00 25810000000.00 26010000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
testing_210000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
RRT_MVS10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
HPM-MVS++copyleft10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
XVS10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
pm-mvs110000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
X-MVStestdata10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
APDe-MVS10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
APD-MVS_3200maxsize10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
pmmvs410000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
test-LLR10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
TESTMET0.1,110000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
test-mter10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
testgi10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
test20.0310000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
thres600view710000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
MP-MVScopyleft10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
thres40010000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
test12310000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
thres20010000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
test0.0.03 110000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
pmmvs310000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
EMVS10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
E-PMN10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
PGM-MVS10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
MCST-MVS10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
MVS_Test10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
PMMVS210000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
PM-MVS10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
HQP_MVS10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
plane_prior710000000.00 25810000000.00 260
plane_prior610000000.00 25810000000.00 26010000000.00 258
plane_prior310000000.00 26010000000.00 25710000000.00 257
mPP-MVS10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
DWT-MVSNet_test10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
HPM-MVS_fast10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
RRT_test8_iter0510000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
HPM-MVScopyleft10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
LGP-MVS_train10000000.00 24610000000.00 25810000000.00 26010000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
EPNet_dtu10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP5-MVS10000000.00 260
CNVR-MVS10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
NCCC10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
CP-MVS10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
NP-MVS10000000.00 25810000000.00 26010000000.00 255
CPTT-MVS10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
HQP-MVS10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
IS-MVSNet10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
PAPM_NR10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
PAPR10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
Vis-MVSNet (Re-imp)10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
PatchMatch-RL10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
TDRefinement10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
EPP-MVSNet10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
PMMVS10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
PAPM10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
ACMMPcopyleft10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
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 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
wuyk23d10000000.00 23410000000.00 23610000000.00 24610000000.00 25810000000.00 26010000000.00 25410000000.00 26110000000.00 25710000000.00 25710000000.00 25510000000.00 25810000000.00 25810000000.00 25610000000.00 25610000000.00 255
APD-MVScopyleft1000000000.00 3301000000000.00 3321000000000.00 3451000000000.00 3631000000000.00 3651000000000.00 3561000000000.00 3661000000000.00 3591000000000.00 3601000000000.00 3581000000000.00 3641000000000.00 3621000000000.00 3591000000000.00 3591000000000.00 358
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
test_241102_TWO515.86 2167016.02 2352363.85 2346894.28 227887.23 2273023.43 2325973.88 2301620.04 2351732.56 232
9.140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_0728_THIRD5016.02 2171363.85 2104894.28 215387.23 1962023.43 2123973.88 214620.04 188732.56 193
GSMVS10000000.00 255
sam_mvs110000000.00 25810000000.00 255
sam_mvs10000000.00 258
MTGPAbinary10000000.00 261
test_post110000000.00 25410000000.00 25510000000.00 25810000000.00 25810000000.00 256
test_post10000000.00 25510000000.00 25810000000.00 258
patchmatchnet-post10000000.00 25510000000.00 25810000000.00 258
MTMP10000000.00 25410000000.00 261
test9_res0.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
test_prior20.00 10.00 10.00 10.00 10.00 10.00 10.00 1
旧先验20.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
无先验0.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM20.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
testdata10.00 10.00 1
plane_prior510000000.00 26110000000.00 25810000000.00 25610000000.00 25610000000.00 255
plane_prior410000000.00 255
plane_prior210000000.00 25410000000.00 257
plane_prior110000000.00 258
n214.20 122
nn1.42 59
door-mid1.42 59
test111.00 54
door99.00 155
HQP-NCC10000000.00 25810000000.00 25410000000.00 25710000000.00 257
ACMP_Plane10000000.00 25810000000.00 25410000000.00 25710000000.00 257
BP-MVS10000000.00 256
HQP4-MVS10000000.00 25710000000.00 25810000000.00 255
HQP3-MVS10000000.00 26110000000.00 256
HQP2-MVS10000000.00 258
ACMMP++_ref10000000.00 256
ACMMP++10000000.00 256
Test By Simon990.00 231