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
9.140.00 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_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
CL-MVSNet_2432*16000.30 170.30 180.30 220.30 290.30 290.30 290.30 300.30 290.30 280.30 260.30 280.30 290.30 270.30 270.30 27
AUN-MVS0.30 170.30 180.30 220.30 290.30 290.30 290.30 300.30 290.30 280.30 260.30 280.30 290.30 270.30 270.30 27
LCM-MVSNet0.37 190.36 200.37 240.37 310.37 310.37 310.32 320.37 310.37 300.37 280.37 300.37 310.37 290.37 290.37 29
v1441920.40 200.40 210.40 250.40 320.40 320.40 320.40 340.40 320.40 310.40 290.40 310.40 320.40 300.40 300.40 30
v19219200.40 200.40 210.40 250.40 320.40 320.40 320.40 340.40 320.40 310.40 290.40 310.40 320.40 300.40 300.40 30
v11920.40 200.40 210.40 250.40 320.40 320.40 320.40 340.40 320.40 310.40 290.40 310.40 320.40 300.40 300.40 30
v11440.40 200.40 210.40 250.40 320.40 320.40 320.40 340.40 320.40 310.40 290.40 310.40 320.40 300.40 300.40 30
v1480.40 200.40 210.40 250.40 320.40 320.40 320.40 340.40 320.40 310.40 290.40 310.40 320.40 300.40 300.40 30
v7n0.40 200.40 210.40 250.40 320.40 320.40 320.40 340.40 320.40 310.40 290.40 310.40 320.40 300.40 300.40 30
v12400.40 200.40 210.40 250.40 320.40 320.40 320.40 340.40 320.40 310.40 290.40 310.40 320.40 300.40 300.40 30
v80.40 200.40 210.40 250.40 320.40 320.40 320.40 340.40 320.40 310.40 290.40 310.40 320.40 300.40 300.40 30
v100.40 200.40 210.40 250.40 320.40 320.40 320.40 340.40 320.40 310.40 290.40 310.40 320.40 300.40 300.40 30
v2v4820.40 200.40 210.40 250.40 320.40 320.40 320.40 340.40 320.40 310.40 290.40 310.40 320.40 300.40 300.40 30
V420.40 200.40 210.40 250.40 320.40 320.40 320.40 340.40 320.40 310.40 290.40 310.40 320.40 300.40 300.40 30
GA-MVS0.40 200.40 210.40 250.40 320.40 320.40 320.40 340.40 320.40 310.40 290.40 310.40 320.40 300.40 300.40 30
Fast-Effi-MVS+0.41 320.40 210.41 370.41 440.41 440.41 440.35 330.41 440.41 430.41 410.41 430.41 440.41 420.41 420.41 42
Fast-Effi-MVS+-dtu0.44 330.44 340.44 380.44 450.44 450.44 450.44 460.44 450.44 440.44 420.44 440.44 450.44 430.44 430.44 43
Effi-MVS+0.58 340.56 350.62 410.53 460.62 480.53 460.53 470.53 460.62 470.62 450.53 450.62 480.62 450.53 440.62 46
DIV-MVS_2432*16000.60 360.60 360.60 400.60 470.60 470.60 480.60 480.60 470.60 460.60 440.60 460.60 470.60 440.60 460.60 45
EIA-MVS0.62 370.62 380.62 410.62 480.62 480.62 490.62 490.62 480.62 470.62 450.62 470.62 480.62 450.62 470.62 46
ETV-MVS0.62 370.62 380.62 410.62 480.62 480.62 490.62 490.62 480.62 470.62 450.62 470.62 480.62 450.62 470.62 46
CS-MVS0.62 370.62 380.62 410.62 480.62 480.62 490.62 490.62 480.62 470.62 450.62 470.62 480.62 450.62 470.62 46
Effi-MVS+-dtu0.59 350.61 370.53 390.68 510.53 460.53 460.68 520.68 510.53 450.53 430.68 500.53 460.68 490.53 440.53 44
mvs-test10.68 400.68 410.68 450.68 510.68 520.68 520.68 520.68 510.68 510.68 490.68 500.68 520.68 490.68 500.68 50
CDS-MVSNet0.88 410.88 420.88 460.88 530.88 530.88 530.88 540.88 530.88 520.88 500.88 520.88 530.88 510.88 510.88 51
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 410.88 420.88 460.88 530.88 530.88 530.88 540.88 530.88 520.88 500.88 520.88 530.88 510.88 510.88 51
LCM-MVSNet-Re0.89 430.89 440.89 480.89 550.89 550.89 550.89 560.89 550.89 540.89 520.89 540.89 550.89 530.89 530.89 53
DeepMVS_CXcopyleft1.00 491.00 561.00 561.00 571.00 561.00 551.00 531.00 551.00 561.00 541.00 541.00 54
MDA-MVSNet-bldmvs1.20 441.20 451.20 501.20 571.20 581.20 561.20 591.20 571.20 561.20 541.20 561.20 571.20 551.20 551.20 55
YYNet11.20 441.20 451.20 501.20 571.20 581.20 561.20 591.20 571.20 561.20 541.20 561.20 571.20 551.20 551.20 55
MDA-MVSNet_test_wron1.20 441.20 451.20 501.20 571.20 581.20 561.20 591.20 571.20 561.20 541.20 561.20 571.20 551.20 551.20 55
KD-MVS_2432*16001.30 471.30 481.30 531.30 601.30 611.30 591.30 621.30 601.30 591.30 571.30 591.30 601.30 581.30 581.30 58
miper_refine_blended1.30 471.30 481.30 531.30 601.30 611.30 591.30 621.30 601.30 591.30 571.30 591.30 601.30 581.30 581.30 58
EI-MVSNet-UG-set1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
EI-MVSNet-Vis-set1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
Regformer-31.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
Regformer-41.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
Regformer-11.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
Regformer-21.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
EI-MVSNet1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
Regformer1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
CVMVSNet1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
EU-MVSNet1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
PS-CasMVS1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
UniMVSNet_NR-MVSNet1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
PEN-MVS1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
TransMVSNet (Re)1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
DTE-MVSNet1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
DU-MVS1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
UniMVSNet (Re)1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
CP-MVSNet1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
WR-MVS_H1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
WR-MVS1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
NR-MVSNet1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
Baseline_NR-MVSNet1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
TranMVSNet+NR-MVSNet1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
MVSFormer1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
jason1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
jason: jason.
lupinMVS1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
test_djsdf1.42 491.42 501.42 551.42 621.42 631.42 611.42 641.42 621.42 611.42 591.42 611.42 621.42 601.42 601.42 60
alignmvs2.00 762.00 772.00 822.00 892.00 902.00 882.00 932.00 892.00 882.00 862.00 882.00 892.00 872.00 872.00 87
nrg0302.00 762.00 772.00 822.00 892.00 902.00 882.00 932.00 892.00 882.00 862.00 882.00 892.00 872.00 872.00 87
LFMVS2.00 762.00 772.00 822.00 892.00 902.00 882.00 932.00 892.00 882.00 862.00 882.00 892.00 872.00 872.00 87
VDD-MVS2.00 762.00 772.00 822.00 892.00 902.00 882.00 932.00 892.00 882.00 862.00 882.00 892.00 872.00 872.00 87
VDDNet2.00 762.00 772.00 822.00 892.00 902.00 882.00 932.00 892.00 882.00 862.00 882.00 892.00 872.00 872.00 87
VPNet2.00 762.00 772.00 822.00 892.00 902.00 882.00 932.00 892.00 882.00 862.00 882.00 892.00 872.00 872.00 87
VNet2.00 762.00 772.00 822.00 892.00 902.00 882.00 932.00 892.00 882.00 862.00 882.00 892.00 872.00 872.00 87
VPA-MVSNet2.00 762.00 772.00 822.00 892.00 902.00 882.00 932.00 892.00 882.00 862.00 882.00 892.00 872.00 872.00 87
cascas2.00 762.00 772.00 822.00 892.00 902.00 882.00 932.00 892.00 882.00 862.00 882.00 892.00 872.00 872.00 87
UnsupCasMVSNet_eth5.90 855.90 865.90 915.90 985.90 995.90 985.90 1035.90 995.90 975.90 955.90 985.90 985.90 965.90 985.90 97
UnsupCasMVSNet_bld5.90 855.90 865.90 915.90 985.90 995.90 985.90 1035.90 995.90 975.90 955.90 985.90 985.90 965.90 985.90 97
WTY-MVS5.90 855.90 865.90 915.90 985.90 995.90 985.90 1035.90 995.90 975.90 955.90 985.90 985.90 965.90 985.90 97
HY-MVS5.90 15.90 855.90 865.90 915.90 985.90 995.90 985.90 1035.90 995.90 975.90 955.90 985.90 985.90 965.90 985.90 97
sss5.90 855.90 865.90 915.90 985.90 995.90 985.90 1035.90 995.90 975.90 955.90 985.90 985.90 965.90 985.90 97
Test_1112_low_res5.90 855.90 865.90 915.90 985.90 995.90 985.90 1035.90 995.90 975.90 955.90 985.90 985.90 965.90 985.90 97
1112_ss5.90 855.90 865.90 915.90 985.90 995.90 985.90 1035.90 995.90 975.90 955.90 985.90 985.90 965.90 985.90 97
ab-mvs-re5.90 855.90 865.90 915.90 985.90 995.90 985.90 1035.90 995.90 975.90 955.90 985.90 985.90 965.90 985.90 97
ab-mvs5.90 855.90 865.90 915.90 985.90 995.90 985.90 1035.90 995.90 975.90 955.90 985.90 985.90 965.90 985.90 97
CDPH-MVS6.66 946.66 956.66 1006.66 1076.66 1086.66 1076.66 1126.66 1086.66 1066.66 1046.66 1076.66 1076.66 1056.66 1076.66 106
MDTV_nov1_ep139.99 969.99 1089.99 1109.99 1089.99 1149.99 1099.99 1089.99 1059.99 1089.99 1099.99 1069.99 108
xiu_mvs_v1_base_debu10.28 9510.28 9710.28 10210.28 10910.28 11210.28 11010.28 11510.28 11110.28 11010.28 10610.28 11010.28 11010.28 10810.28 10910.28 108
xiu_mvs_v2_base10.28 9510.28 9710.28 10210.28 10910.28 11210.28 11010.28 11510.28 11110.28 11010.28 10610.28 11010.28 11010.28 10810.28 10910.28 108
xiu_mvs_v1_base10.28 9510.28 9710.28 10210.28 10910.28 11210.28 11010.28 11510.28 11110.28 11010.28 10610.28 11010.28 11010.28 10810.28 10910.28 108
xiu_mvs_v1_base_debi10.28 9510.28 9710.28 10210.28 10910.28 11210.28 11010.28 11510.28 11110.28 11010.28 10610.28 11010.28 11010.28 10810.28 10910.28 108
cdsmvs_eth3d_5k10.28 9510.28 9710.28 10210.28 10910.28 11210.28 11010.28 11510.28 11110.28 11010.28 10610.28 11010.28 11010.28 10810.28 10910.28 108
pcd_1.5k_mvsjas10.28 9510.28 9710.28 10210.28 10910.28 11210.28 11010.28 11510.28 11110.28 11010.28 10610.28 11010.28 11010.28 10810.28 10910.28 108
PS-MVSNAJss10.28 9510.28 9710.28 10210.28 10910.28 11210.28 11010.28 11510.28 11110.28 11010.28 10610.28 11010.28 11010.28 10810.28 10910.28 108
PS-MVSNAJ10.28 9510.28 9710.28 10210.28 10910.28 11210.28 11010.28 11510.28 11110.28 11010.28 10610.28 11010.28 11010.28 10810.28 10910.28 108
jajsoiax10.28 9510.28 9710.28 10210.28 10910.28 11210.28 11010.28 11510.28 11110.28 11010.28 10610.28 11010.28 11010.28 10810.28 10910.28 108
mvs_tets10.28 9510.28 9710.28 10210.28 10910.28 11210.28 11010.28 11510.28 11110.28 11010.28 10610.28 11010.28 11010.28 10810.28 10910.28 108
dp87.20 112113.80 1167.42 10110.50 1198.88 109298.82 1352.70 102510.35 1517.79 107172.93 1263.37 979.16 10814.00 1193.71 974.23 96
SR-MVS-dyc-post11.55 10511.55 10711.55 11211.55 12011.55 12211.55 12011.55 12711.55 12111.55 12011.55 11611.55 12111.55 12011.55 11811.55 11911.55 118
XXY-MVS15.00 10615.00 10815.00 11315.00 12115.00 12315.00 12115.00 12915.00 12215.00 12115.00 11715.00 12615.00 12115.00 12015.00 12115.00 120
BH-w/o40.00 10740.00 10940.00 11540.00 12240.00 12440.00 12340.00 14640.00 12340.00 12340.00 11840.00 14440.00 12340.00 12140.00 13740.00 132
BH-untuned40.00 10740.00 10940.00 11540.00 12240.00 12440.00 12340.00 14640.00 12340.00 12340.00 11840.00 14440.00 12340.00 12140.00 13740.00 132
BH-RMVSNet40.00 10740.00 10940.00 11540.00 12240.00 12440.00 12340.00 14640.00 12340.00 12340.00 11840.00 14440.00 12340.00 12140.00 13740.00 132
TR-MVS40.00 10740.00 10940.00 11540.00 12240.00 12440.00 12340.00 14640.00 12340.00 12340.00 11840.00 14440.00 12340.00 12140.00 13740.00 132
GBi-Net44.67 11149.24 11330.96 11447.53 12647.57 128126.09 1278.00 11376.99 12726.09 12273.50 12311.27 12030.55 12261.12 12512.58 12014.75 119
zzz-MVS833442.10 2371111233.77 24367.09 12165.59 12764.81 131284.50 13110000000.00 271219.97 13559.62 129229.89 13812.72 122103.00 144203.67 14427.93 12233.46 121
MTAPA833442.10 2371111233.77 24367.09 12165.59 12764.81 131284.50 13110000000.00 271219.97 13559.62 129229.89 13812.72 122103.00 144203.67 14427.93 12233.46 121
MP-MVS-pluss833433.63 2361111219.60 24275.70 12774.28 12973.29 133284.50 13111.35 125238.58 13765.86 131255.35 14414.55 124115.69 14710000000.00 26631.94 12438.12 130
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 119133.18 12175.70 12774.28 12973.29 133284.50 13111.35 125238.58 13765.86 131255.35 14414.55 124115.69 147222.18 14631.94 12438.12 130
CANet110.62 115124.04 11770.34 12382.03 13174.27 135325.54 13625.25 132207.16 13169.28 133194.38 12727.53 12995.79 137147.76 13037.43 12640.97 136
CANet_DTU110.62 115124.04 11770.34 12382.03 13174.27 135325.54 13625.25 132207.16 13169.28 133194.38 12727.53 12995.79 137147.76 13037.43 12640.97 136
MVS_0304110.62 115124.04 11770.34 12382.03 13174.27 135325.54 13625.25 132207.16 13169.28 133194.38 12727.53 12995.79 137147.76 13037.43 12640.97 136
UGNet110.62 115124.04 11770.34 12382.03 13174.27 135325.54 13625.25 132207.16 13169.28 133194.38 12727.53 12995.79 137147.76 13037.43 12640.97 136
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
new_pmnet88.14 11398.62 11456.70 11998.14 13556.07 129246.79 12915.37 130148.06 12850.77 127143.13 12423.35 12762.65 12793.26 12668.71 14451.38 143
N_pmnet88.14 11398.62 11456.70 11998.14 13556.07 129246.79 12915.37 130148.06 12850.77 127143.13 12423.35 12762.65 12793.26 12668.71 14451.38 143
DSMNet-mixed131.33 127143.00 12996.33 14099.00 13781.00 139201.00 12845.00 150335.00 14999.00 147251.00 14338.00 143110.00 146120.00 12999.00 14798.00 146
FMVSNet5124.76 120140.93 12276.26 129107.44 138100.17 143329.88 14027.12 139259.44 14274.30 137204.34 13130.74 13392.41 130196.98 13438.15 13036.19 123
test1124.76 120140.93 12276.26 129107.44 138100.17 143329.88 14027.12 139259.44 14274.30 137204.34 13130.74 13392.41 130196.98 13438.15 13036.19 123
FMVSNet3124.76 120140.93 12276.26 129107.44 138100.17 143329.88 14027.12 139259.44 14274.30 137204.34 13130.74 13392.41 130196.98 13438.15 13036.19 123
FMVSNet2124.76 120140.93 12276.26 129107.44 138100.17 143329.88 14027.12 139259.44 14274.30 137204.34 13130.74 13392.41 130196.98 13438.15 13036.19 123
FMVSNet1124.76 120140.93 12276.26 129107.44 138100.17 143329.88 14027.12 139259.44 14274.30 137204.34 13130.74 13392.41 130196.98 13438.15 13036.19 123
MIMVSNet1124.76 120140.93 12276.26 129107.44 138100.17 143329.88 14027.12 139259.44 14274.30 137204.34 13130.74 13392.41 130196.98 13438.15 13036.19 123
MIMVSNet124.76 120140.93 12276.26 129107.44 138100.17 143329.88 14027.12 139259.44 14274.30 137204.34 13130.74 13392.41 130196.98 13438.15 13036.19 123
PVSNet_Blended_VisFu136.90 128155.40 13081.40 136111.00 14596.20 140407.00 14725.90 136251.60 13985.10 144240.50 14037.00 14099.90 141199.80 14140.70 14148.10 140
PVSNet_BlendedMVS136.90 128155.40 13081.40 136111.00 14596.20 140407.00 14725.90 136251.60 13985.10 144240.50 14037.00 14099.90 141199.80 14140.70 14148.10 140
PVSNet_Blended136.90 128155.40 13081.40 136111.00 14596.20 140407.00 14725.90 136251.60 13985.10 144240.50 14037.00 14099.90 141199.80 14140.70 14148.10 140
DP-MVS264.78 132296.02 134171.04 141191.70 148183.96 151827.10 15878.36 152438.24 150176.64 149435.12 14665.04 149230.52 151334.02 147117.96 14898.64 147
tmp_tt371.08 133412.78 135246.00 143231.00 149197.00 1521293.00 170376.00 204756.00 160609.00 18471.00 122106.00 159195.00 149102.00 128171.00 157346.00 180
EG-PatchMatch MVS437.03 135493.12 139268.77 144264.80 150260.20 1541491.80 17398.00 161723.20 159238.80 150722.40 15663.10 148382.00 155629.00 158207.00 164164.10 152
RPSCF394.81 134445.63 136242.35 142276.55 151253.63 1531207.27 16890.69 157715.56 158241.57 151684.87 155111.96 160320.02 152548.38 154133.81 149153.39 149
test1172216.26 131257.16 13393.57 139310.10 152111.10 15031.10 12245.10 151192.73 130176.39 148512.31 14766.33 15078.35 129891.20 17189.18 14691.27 145
DELS-MVS514.57 142587.73 145295.12 147343.03 153328.09 1571540.48 175116.22 167988.59 166325.44 158906.22 164119.86 162365.72 153788.60 167161.09 154191.55 157
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 143581.17 144321.48 150361.02 154429.00 1651995.36 17978.48 153796.20 161283.32 154796.02 15996.78 154382.98 156636.72 160186.66 161152.46 148
ACMH+729.97 2661.38 149754.00 152383.51 154368.96 155376.38 1602483.74 19182.42 1541089.25 175333.39 1591219.68 17966.53 151573.60 176957.86 174184.14 160200.56 158
MVP-Stereo473.58 138533.67 140293.33 145376.00 156318.00 1551461.00 17196.00 158835.00 162290.00 155804.00 16097.00 155383.00 157688.00 165156.00 150179.00 154
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 138533.67 140293.33 145376.00 156318.00 1551461.00 17196.00 158835.00 162290.00 155804.00 16097.00 155383.00 157688.00 165156.00 150179.00 154
tpmvs501.65 141567.42 143304.33 148395.39 158356.32 1581512.04 174216.53 192994.15 167350.16 160804.16 162119.38 161380.98 154555.14 155159.87 153175.69 153
PatchmatchNetpermissive492.52 140551.22 142316.40 149400.20 159357.90 1591277.10 169115.80 1661034.60 174315.90 157874.00 163155.10 165402.20 159629.50 159158.80 152189.10 156
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PMVScopyleft863.65 3957.08 1671054.11 176666.00 182401.00 160495.00 1683790.00 199279.00 1941607.00 194521.00 1761745.00 19490.00 1521105.00 205639.00 161415.00 190398.00 187
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
CSCG826.03 162963.29 167414.24 156421.52 161426.11 1642230.35 180179.52 1881827.44 196733.43 195933.12 166281.25 191545.23 1681800.35 202262.64 177271.38 168
IB-MVS872.44 4616.41 148700.96 151362.78 153426.10 162409.25 1631822.69 176124.42 1751186.23 177366.85 1621079.42 176190.60 178451.78 162930.72 173181.59 159227.30 160
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
ADS-MVSNet2443.33 136482.84 137324.79 151434.94 163387.73 1611110.57 16687.69 155887.02 164282.92 152779.29 15798.57 157422.76 160502.40 148162.19 155163.87 150
ADS-MVSNet443.33 136482.84 137324.79 151434.94 163387.73 1611110.57 16687.69 155887.02 164282.92 152779.29 15798.57 157422.76 160502.40 148162.19 155163.87 150
ACMH993.80 5967.92 1681106.11 178553.33 170494.00 165534.00 1703581.00 197136.00 1771585.00 193478.00 1731871.00 19690.00 152839.00 1881460.00 196260.00 176287.00 171
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
IterMVS615.05 147691.66 150385.23 155516.40 166454.80 1661863.80 177102.10 1631142.20 176364.10 1611093.20 178135.00 163480.40 163826.90 168181.20 158220.50 159
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
ACMM1311.08 81165.06 1801332.72 183662.07 181584.90 167715.99 1924373.59 204153.99 1851880.27 198709.02 1922316.97 200188.63 177939.89 1931484.30 197302.78 184330.34 177
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
new-patchmatchnet766.12 152859.03 157487.38 167595.68 168536.14 1712346.27 182142.51 1801488.08 184422.43 1631361.32 183163.65 168628.60 1811003.74 183207.61 165297.41 173
ACMP1246.57 71086.24 1761235.17 180639.45 177596.53 169639.91 1873904.24 200152.04 1831851.54 197566.58 1821997.95 198138.50 164938.30 1921605.46 198303.70 185340.14 178
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
SixPastTwentyTwo773.62 153869.37 159486.35 166603.45 170547.15 1792532.14 192106.92 1651434.95 183428.08 1641360.56 182165.15 169628.96 182984.09 175209.01 166282.94 170
IterMVS-LS758.94 151856.56 156466.10 164606.60 171546.80 1782309.90 181122.20 1741402.80 182463.50 1661348.20 181192.60 179574.60 1771028.60 184234.60 175276.90 169
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
MG-MVS1256.50 1821432.00 185730.00 186610.00 172760.00 1944720.00 205169.00 1861920.00 199723.00 1942510.00 206201.00 1821050.00 2031645.00 200390.00 189380.00 184
RE-MVS-def610.10 147610.10 173610.10 185610.10 152610.10 232610.10 156610.10 185610.10 153610.10 219610.10 156610.10 194610.10 192
SR-MVS610.10 145610.10 147610.10 176610.10 173610.10 185610.10 152610.10 232610.10 156610.10 185610.10 153610.10 219610.10 179610.10 156610.10 194610.10 192
GG-mvs-BLEND596.01 174611.29 175600.33 182790.30 155513.12 223552.71 178567.40 148662.54 229531.67 164503.93 150779.80 210656.02 195
gm-plane-assit611.29 175600.33 182579.21 152567.40 148531.67 164503.93 150
CR-MVSNet612.36 146617.81 149596.01 174611.29 175600.33 182790.30 155513.12 223579.21 152552.71 178567.40 148662.54 229531.67 164503.93 150779.80 210656.02 195
Gipumacopyleft689.75 150767.00 153458.00 163613.00 178549.00 1801943.00 178187.00 1891230.00 178518.00 1751092.00 177203.00 184564.00 169892.00 172225.00 173261.00 167
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
gg-mvs-nofinetune594.69 144605.37 146562.67 171617.29 179500.33 169772.30 154413.12 212579.21 152552.71 178567.40 148662.54 229531.67 164503.93 150779.80 210656.02 195
mvs_anonymous774.90 154882.28 160452.77 157636.50 180537.20 1722348.80 183120.30 1681504.30 185474.40 1671371.10 184186.90 171564.70 1701078.90 186219.30 167256.40 161
casdiffmvs774.90 154882.28 160452.77 157636.50 180537.20 1722348.80 183120.30 1681504.30 185474.40 1671371.10 184186.90 171564.70 1701078.90 186219.30 167256.40 161
diffmvs774.90 154882.28 160452.77 157636.50 180537.20 1722348.80 183120.30 1681504.30 185474.40 1671371.10 184186.90 171564.70 1701078.90 186219.30 167256.40 161
baseline2774.90 154882.28 160452.77 157636.50 180537.20 1722348.80 183120.30 1681504.30 185474.40 1671371.10 184186.90 171564.70 1701078.90 186219.30 167256.40 161
baseline1774.90 154882.28 160452.77 157636.50 180537.20 1722348.80 183120.30 1681504.30 185474.40 1671371.10 184186.90 171564.70 1701078.90 186219.30 167256.40 161
baseline774.90 154882.28 160452.77 157636.50 180537.20 1722348.80 183120.30 1681504.30 185474.40 1671371.10 184186.90 171564.70 1701078.90 186219.30 167256.40 161
PVSNet1207.94 6829.56 163937.18 166506.69 168645.55 186585.72 1812477.98 190130.52 1761578.29 192509.50 1741460.01 190194.90 180637.19 1831170.78 193267.07 179297.17 172
FPMVS1407.00 1851495.59 1871141.23 199648.01 187893.85 2014124.00 201503.81 2223219.04 209742.72 1962498.84 205157.98 1661727.83 212832.93 169732.98 209802.00 204
lessismore_v0569.20 172667.25 188644.68 18896.45 160428.86 1651514.17 191204.21 185756.58 1851061.60 185197.79 163306.34 174
PVSNet_01661.03 9968.54 1691066.82 177673.70 183706.94 189695.69 1902669.02 195153.52 1842108.17 201605.54 1831679.14 193213.26 188886.75 1911236.76 195229.01 174438.67 188
MSLP-MVS++1242.93 1811411.08 184738.48 187712.71 190712.68 1914168.17 202136.50 1782276.40 203613.28 1872368.60 203161.61 1671130.38 2061964.54 205297.88 182372.39 183
MVSTER890.06 1661005.91 175542.52 169736.13 191653.90 1892616.56 194145.22 1821692.10 195555.69 1811554.72 192266.25 190660.02 1841219.66 194266.84 178313.64 176
MVS_111021_LR1136.45 1791298.72 182649.64 178756.17 192726.26 1933785.94 198138.15 1792190.64 202629.63 1882064.39 199165.45 170874.83 1901678.43 201279.70 180347.82 181
DeepC-MVS_fast2190.19 121535.59 1861886.82 190481.89 165847.73 193830.16 1987943.84 224189.23 1902398.83 204691.73 1912341.13 201209.16 186230.25 1501999.25 206360.46 187385.25 185
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
JIA-IIPM804.30 161835.64 155710.26 185885.90 194895.90 202455.98 150668.73 2361297.17 1791002.26 2071001.67 174655.98 227756.98 186667.90 162885.21 222477.90 189
RPMNet787.26 160829.13 154661.63 180885.90 194895.90 202455.98 150610.10 2321297.17 1791002.26 2071001.67 174655.98 227611.10 180667.90 162885.21 222477.90 189
ACMMPR1296.60 1831480.82 186743.96 188899.25 196763.47 1954305.47 203143.90 1812530.94 206683.99 1892346.34 202201.65 1831098.25 2041920.59 204295.21 181370.16 182
test_04021110.00 1781260.00 181660.00 179900.00 197780.00 1963300.00 196210.00 1912040.00 200690.00 1901950.00 197300.00 194810.00 1871620.00 199330.00 186390.00 186
TSAR-MVS + GP.1386.84 1841622.84 188678.81 184952.13 198840.17 1995358.21 208170.75 1872650.47 207713.54 1932394.28 204209.42 187855.56 1891854.36 203302.42 183340.71 179
ambc999.00 191999.00 199999.00 204999.00 159999.00 247999.00 200999.00 167999.00 242999.00 196999.00 176999.00 228999.00 225
OurMVSNet-221017-0999.00 170999.00 169999.00 191999.00 199999.00 204999.00 159999.00 247999.00 168999.00 200999.00 167999.00 242999.00 196999.00 176999.00 228999.00 225
EPMVS999.00 170999.00 169999.00 191999.00 199999.00 204999.00 159999.00 247999.00 168999.00 200999.00 167999.00 242999.00 196999.00 176999.00 228999.00 225
uanet_test1000.00 1721000.00 1711000.00 1941000.00 2021000.00 2071000.00 1621000.00 2501000.00 1701000.00 2031000.00 1701000.00 2451000.00 1991000.00 1791000.00 2311000.00 228
sosnet1000.00 1721000.00 1711000.00 1941000.00 2021000.00 2071000.00 1621000.00 2501000.00 1701000.00 2031000.00 1701000.00 2451000.00 1991000.00 1791000.00 2311000.00 228
USDC1000.00 1721000.00 1711000.00 1941000.00 2021000.00 2071000.00 1621000.00 2501000.00 1701000.00 2031000.00 1701000.00 2451000.00 1991000.00 1791000.00 2311000.00 228
TinyColmap1000.00 1721000.00 1711000.00 1941000.00 2021000.00 2071000.00 1621000.00 2501000.00 1701000.00 2031000.00 1701000.00 2451000.00 1991000.00 1791000.00 2311000.00 228
COLMAP_ROBcopyleft2144.59 111658.33 1871869.33 1891025.33 1981030.00 2061023.00 2115311.00 207359.00 2023044.00 208937.00 1992892.00 207332.00 1981440.00 2092312.00 208607.00 193613.00 194
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 1882113.11 1911173.33 2021231.00 2071174.00 2126297.00 210392.00 2073356.00 2111087.00 2093082.00 208361.00 2021670.00 2112523.00 210689.00 200676.00 199
OpenMVS_ROBcopyleft1936.51 101959.51 1892224.88 1931163.39 2011253.91 2081434.22 2157065.71 214272.76 1932472.29 2051647.54 2373538.72 211200.37 1811496.48 2102575.17 211997.45 227559.48 191
Patchmtry1090.75 1771198.88 179766.38 1891290.90 209485.90 1672423.98 1891267.30 2541297.17 179923.90 197923.40 1651215.54 250990.23 194667.90 162779.80 210823.02 208
PatchT856.34 164860.99 158842.38 1901290.90 209880.90 200790.30 1551267.30 254579.21 152923.90 197567.40 148662.54 229990.23 194887.56 170779.80 210656.02 195
K. test v3877.74 165980.16 168570.46 1731316.85 211813.15 1972565.52 193103.78 1641509.49 191548.33 1771258.90 180219.93 189587.82 1781102.37 192196.30 162310.42 175
PLCcopyleft2858.82 162192.92 1922474.00 1951349.67 2041407.00 2121356.00 2147164.00 215475.00 2193970.00 2151237.00 2163765.00 214451.00 2081891.00 2173006.00 213791.00 215802.00 204
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
CMPMVSbinary2623.62 151983.08 1902156.14 1921463.89 2121414.80 2131517.00 2175239.20 206867.40 2413310.30 2101128.70 2113489.90 210366.75 2032030.20 2232427.60 2091160.60 237844.46 211
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
ZD-MVS1584.00 2141821.00 237378.00 2053721.00 2131231.00 2141833.00 195321.00 1971224.00 2072103.00 207692.00 203
Vis-MVSNetpermissive2877.42 2043170.00 2071999.67 2251673.00 2152042.00 2428593.00 228474.00 2186452.00 2391268.00 2175125.00 227339.00 1993004.00 2394222.00 229384.00 188953.00 221
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
PCF-MVS4335.85 202272.23 1942597.03 1971297.84 2031701.20 2161332.37 2138105.11 225451.45 2154031.84 2161099.10 2103966.50 215467.45 2091734.05 2132701.68 212848.94 219827.11 209
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
test_0728_SECOND1451.45 2091725.60 2171598.35 2219203.30 231315.86 1972023.43 2203973.88 223620.04 196732.56 201
test07261725.60 2171598.35 2219203.30 231315.86 1975016.02 2261363.85 2194894.28 224387.23 204
SD-MVS2654.53 2013055.56 2061451.45 2091725.60 2171598.35 2219203.30 231315.86 1975016.02 2261363.85 2194894.28 224387.23 2042023.43 2203973.88 223620.04 196732.56 201
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
3Dnovator2482.06 142531.17 1982839.56 2011606.00 2131732.00 2201557.00 2198375.00 227483.00 2204370.00 2201371.00 2224200.00 216350.00 2002207.00 2243877.00 222798.00 2161054.00 232
LF4IMVS2699.50 2033049.67 2051649.00 2151755.00 2211689.00 2288330.00 226464.00 2174997.00 2251528.00 2254763.00 223568.00 2172296.00 2264215.00 228827.00 218962.00 222
DPM-MVS3268.00 2083762.89 2111783.33 2191756.00 2221806.00 23512319.00 243307.00 1956319.00 2371557.00 2305763.00 230302.00 1952609.00 2325061.00 234482.00 191935.00 219
OPM-MVS3268.00 2083762.89 2111783.33 2191756.00 2221806.00 23512319.00 243307.00 1956319.00 2371557.00 2305763.00 230302.00 1952609.00 2325061.00 234482.00 191935.00 219
OpenMVScopyleft2352.88 132263.08 1932530.89 1961459.67 2111767.00 2241591.00 2207932.00 223399.00 2083643.00 2121176.00 2123569.00 212297.00 1931927.00 2193302.00 215693.00 204861.00 212
tpmrst2557.50 1992847.12 2021688.66 2161784.08 2251778.25 2347445.50 221342.14 2004471.54 2211534.55 2264382.10 220530.10 2152361.21 2274142.81 226991.22 226926.51 218
AdaColmapbinary2570.77 2002948.61 2031437.24 2081873.64 2261526.60 2187819.77 222373.97 2034970.45 2241479.29 2244648.46 222525.80 2141904.97 2184150.42 227695.69 205880.14 216
SteuartSystems-ACMMP2891.50 2053284.78 2081711.67 2171954.00 2271655.00 22710117.00 240445.00 2145102.00 2291375.00 2235126.00 228351.00 2012638.00 2364402.00 230691.00 202842.00 210
Skip Steuart: Steuart Systems R&D Blog.
ITE_SJBPF2014.00 2261998.00 2281992.00 240701.00 2375989.00 2311812.00 2413612.00 213650.00 2232852.00 2384601.00 2321195.00 2381198.00 235
tpm23617.85 2124007.23 2142449.73 2302012.71 2291698.05 2297351.19 217869.29 2426132.06 2321588.28 2328007.42 2451281.09 2513888.11 2487472.04 2481351.00 2391763.02 245
tpm cat13617.85 2124007.23 2142449.73 2302012.71 2291698.05 2297351.19 217869.29 2426132.06 2321588.28 2328007.42 2451281.09 2513888.11 2487472.04 2481351.00 2391763.02 245
CostFormer3617.85 2124007.23 2142449.73 2302012.71 2291698.05 2297351.19 217869.29 2426132.06 2321588.28 2328007.42 2451281.09 2513888.11 2487472.04 2481351.00 2391763.02 245
tpm3617.85 2124007.23 2142449.73 2302012.71 2291698.05 2297351.19 217869.29 2426132.06 2321588.28 2328007.42 2451281.09 2513888.11 2487472.04 2481351.00 2391763.02 245
CHOSEN 280x4202340.81 1952643.03 1981434.14 2052025.55 2331629.36 2246542.40 211412.49 2094219.70 2171547.02 2274328.52 217650.74 2241798.26 2143333.17 216727.72 206874.79 213
CHOSEN 1792x26882340.81 1952643.03 1981434.14 2052025.55 2331629.36 2246542.40 211412.49 2094219.70 2171547.02 2274328.52 217650.74 2241798.26 2143333.17 216727.72 206874.79 213
HyFIR lowres test2340.81 1952643.03 1981434.14 2052025.55 2331629.36 2246542.40 211412.49 2094219.70 2171547.02 2274328.52 217650.74 2241798.26 2143333.17 216727.72 206874.79 213
DVP-MVS3981.10 2184731.32 2231730.42 2182191.51 2361949.98 23916473.90 251355.33 2017172.90 2481622.98 2367879.79 244434.33 2072428.11 2295762.12 237689.04 201813.18 207
3Dnovator+3414.41 173146.67 2063537.00 2091975.67 2232310.00 2372005.00 24110100.00 239626.00 2355753.00 2301803.00 2405179.00 229487.00 2102622.00 2344550.00 2311025.00 2351300.00 236
TSAR-MVS + MP.3528.01 2114065.89 2181914.35 2222349.10 2382141.30 24312362.70 245417.60 2136717.80 2431759.40 2396497.50 233518.18 2132629.38 2355164.32 236806.40 217972.38 224
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
DeepPCF-MVS3452.42 182670.71 2023021.57 2041618.12 2142377.67 2391751.39 2338915.70 230567.44 2304569.74 2221236.84 2154615.63 221513.23 2122291.32 2253515.48 219882.39 221811.66 206
GST-MVS4000.00 2194533.33 2212400.00 2292400.00 2402400.00 2457200.00 2162400.00 2587200.00 2492400.00 2487200.00 2402400.00 2552400.00 2287200.00 2462400.00 2512400.00 250
MVS_111021_HR3742.80 2164330.34 2191980.20 2242484.31 2412259.52 24414973.80 249515.90 2296500.13 2401949.21 2426146.89 232535.66 2162593.66 2314880.76 233986.37 2251087.43 233
DeepC-MVS3917.13 193155.06 2073601.83 2101814.72 2212515.52 2421941.53 23810432.50 241589.42 2314789.45 2231298.65 2187677.31 243578.35 2182589.53 2303611.78 221923.52 224913.10 217
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
TAPA-MVS6309.84 213374.90 2103806.99 2132078.63 2272535.47 2432499.25 2478816.16 229456.05 2166255.60 2361664.52 2386704.88 235629.95 2222768.38 2376343.93 244856.35 220968.25 223
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
SED-MVS4062.74 2204671.13 2222237.56 2282643.17 2442465.14 24613996.40 247493.26 2217619.38 2502107.24 2437416.93 242610.24 2213088.29 2446075.14 2431078.39 2361159.26 234
IU-MVS2725.60 2452598.35 248515.86 2257016.02 2442363.85 2445973.88 2391620.04 2451732.56 241
OPU-MVS2451.45 2342725.60 2452598.35 2489203.30 2316894.28 236887.23 2373023.43 2405973.88 2391620.04 2451732.56 241
test_241102_ONE2725.60 2452598.35 248515.86 2257016.02 2442363.85 2446894.28 236887.23 2373023.43 240
MSP-MVS4296.20 2214911.12 2252451.45 2342725.60 2452598.35 24816203.30 250515.86 2257016.02 2442363.85 2446894.28 236887.23 2373023.43 2405973.88 2391620.04 2451732.56 241
MVS-HIRNet2125.39 1912452.68 1941143.53 2002938.33 2491446.92 2166083.19 209391.74 2063801.71 2141202.10 2133439.72 209492.73 2111304.35 2083048.25 214676.32 199679.32 200
MAR-MVS3973.16 2174387.92 2202728.86 2363345.27 2503341.39 25411403.90 242798.76 2396555.62 2422569.29 2496514.86 234834.97 2363237.43 2455891.08 2381577.54 2441607.76 237
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
API-MVS4380.83 2224906.56 2242803.67 2373844.00 2513116.00 25313454.00 246901.00 2466511.00 2412794.00 2507365.00 241754.00 2333634.00 2466622.00 2451914.00 2501661.00 240
CLD-MVS7338.25 2248341.00 2274330.00 2394902.00 2524991.00 25523318.00 253728.00 23814437.00 2584378.00 25313379.00 254824.00 2355708.00 25211429.00 2581674.00 2492291.00 249
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
OMC-MVS5022.26 2235748.82 2262842.58 2384905.27 2533101.27 25214933.60 248812.24 2409278.40 2512959.29 2518800.17 2491092.24 2493806.30 2477568.54 2521389.60 2431620.18 239
LS3D7684.71 2258776.23 2284410.16 2405298.55 2545631.53 25634329.90 2551504.57 25611554.00 2573896.41 25215111.00 255812.19 2345985.63 2533516.20 2202963.23 2521613.31 238
MVEpermissive10021.00 2210550.67 23010002.44 23312195.33 2466242.00 2558768.00 25830896.00 2544451.00 25910331.00 2566247.00 25418296.00 256283.00 19221484.00 2597364.00 2475912.00 2546334.00 252
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 23111772.44 2347637.33 2419120.00 2568206.00 25722252.00 2522010.00 25724984.00 2597458.00 25522596.00 2572940.00 25610260.00 25811100.00 2573492.00 2534446.00 251
ZNCC-MVS9999.00 2269999.00 2299999.00 2429999.00 2579999.00 2599999.00 2359999.00 2629999.00 2529999.00 2569999.00 2509999.00 2589999.00 2549999.00 2539999.00 2559999.00 253
UA-Net10000.00 22710000.00 23010000.00 24310000.00 25810000.00 26010000.00 23610000.00 26310000.00 25310000.00 25710000.00 25110000.00 25910000.00 25510000.00 25410000.00 25610000.00 254
uncertanet10000.00 22710000.00 23010000.00 24310000.00 25810000.00 26010000.00 23610000.00 26310000.00 25310000.00 25710000.00 25110000.00 25910000.00 25510000.00 25410000.00 25610000.00 254
uanet10000.00 22710000.00 23010000.00 24310000.00 25810000.00 26010000.00 23610000.00 26310000.00 25310000.00 25710000.00 25110000.00 25910000.00 25510000.00 25410000.00 25610000.00 254
LTVRE_ROB20565.47 2323378.08 23222805.00 23525097.33 24715500.00 26119201.00 26342712.00 2566055.00 26038388.00 26016926.00 26038534.00 2587071.00 25735653.00 26029475.00 25910584.00 25920438.00 258
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 23334443.44 23627094.33 24829249.00 26225246.00 26451144.00 2576705.00 26142886.00 26122888.00 26148534.00 25913263.00 26237507.00 26179298.00 26016024.00 26018530.00 257
114514_t99999.00 23499999.00 23799999.00 24999999.00 26399999.00 26599999.00 25899999.00 26699999.00 26299999.00 26299999.00 26099999.00 26399999.00 26299999.00 26199999.00 26199999.00 259
PHI-MVS99999.00 23499999.00 23799999.00 24999999.00 26399999.00 26599999.00 25899999.00 26699999.00 26299999.00 26299999.00 26099999.00 26399999.00 26299999.00 26199999.00 26199999.00 259
XVG-OURS-SEG-HR999999.00 239999999.00 239999999.00 251999999.00 265999999.00 267999999.00 260999999.00 268999999.00 264999999.00 264999999.00 262999999.00 265999999.00 264999999.00 263999999.00 263999999.00 261
XVG-OURS999999.00 239999999.00 239999999.00 251999999.00 265999999.00 267999999.00 260999999.00 268999999.00 264999999.00 264999999.00 262999999.00 265999999.00 264999999.00 263999999.00 263999999.00 261
XVG-ACMP-BASELINE999999.00 239999999.00 239999999.00 251999999.00 265999999.00 267999999.00 260999999.00 268999999.00 264999999.00 264999999.00 262999999.00 265999999.00 264999999.00 263999999.00 263999999.00 261
cl-mvsnet210000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
miper_ehance_all_eth10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
miper_enhance_ethall10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
cl-mvsnet_10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
cl-mvsnet110000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
eth_miper_zixun_eth10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
testtj10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
ET-MVSNet_ETH3D10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
UniMVSNet_ETH3D10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
miper_lstm_enhance10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
D2MVS10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
test_yl10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
thisisatest053010000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
Anonymous2024052910000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
Anonymous20240521110000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
DCV-MVSNet10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
tttt051710000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
our_test_310000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
thisisatest051510000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
ppachtmachnet_test10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
SMA-MVScopyleft10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
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 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
test_part210000000.00 26810000000.00 27010000000.00 267
test_part110000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
thres100view90010000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
tfpnnormal10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
tfpn200view910000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
cl_fuxian10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
IterMVS-SCA-FT10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
pmmvs610000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
pmmvs510000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
Anonymous2023121110000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
pmmvs-eth3d10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
Anonymous2023120610000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
SCA10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
Patchmatch-test10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
Patchmatch-RL test10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
canonicalmvs10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
anonymousdsp10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
FIs10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
FC-MVSNet-test10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
sosnet-low-res10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
AllTest10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
TestCases10000000.00 25410000000.00 26810000000.00 27010000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
testing_210000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
RRT_MVS10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
HPM-MVS++copyleft10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
XVS10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
pm-mvs110000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
X-MVStestdata10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
APDe-MVS10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
APD-MVS_3200maxsize10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
pmmvs410000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
test-LLR10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
TESTMET0.1,110000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
test-mter10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
testgi10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
test20.0310000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
thres600view710000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
MP-MVScopyleft10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
thres40010000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
test12310000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
thres20010000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
test0.0.03 110000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
pmmvs310000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
EMVS10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
E-PMN10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
PGM-MVS10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
MCST-MVS10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
MVS_Test10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
PMMVS210000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
PM-MVS10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
HQP_MVS10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
plane_prior710000000.00 26810000000.00 270
plane_prior610000000.00 26810000000.00 27010000000.00 268
plane_prior110000000.00 268
mPP-MVS10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
DWT-MVSNet_test10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
HPM-MVS_fast10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
RRT_test8_iter0510000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
HPM-MVScopyleft10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
LGP-MVS_train10000000.00 25410000000.00 26810000000.00 27010000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
EPNet_dtu10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP-NCC10000000.00 26810000000.00 26310000000.00 26710000000.00 267
ACMP_Plane10000000.00 26810000000.00 26310000000.00 26710000000.00 267
CNVR-MVS10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
NCCC10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
CP-MVS10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
NP-MVS10000000.00 26810000000.00 27010000000.00 265
CPTT-MVS10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
HQP-MVS10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
IS-MVSNet10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
PAPM_NR10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
PAPR10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
Vis-MVSNet (Re-imp)10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
PatchMatch-RL10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
TDRefinement10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
EPP-MVSNet10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
PMMVS10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
PAPM10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
ACMMPcopyleft10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
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 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
wuyk23d10000000.00 24210000000.00 24510000000.00 25410000000.00 26810000000.00 27010000000.00 26310000000.00 27110000000.00 26710000000.00 26710000000.00 26510000000.00 26810000000.00 26710000000.00 26610000000.00 26610000000.00 264
APD-MVScopyleft1000000000.00 3391000000000.00 3421000000000.00 3531000000000.00 3741000000000.00 3751000000000.00 3651000000000.00 3761000000000.00 3701000000000.00 3711000000000.00 3691000000000.00 3741000000000.00 3711000000000.00 3691000000000.00 3691000000000.00 367
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
test_241102_TWO515.86 2257016.02 2442363.85 2446894.28 236887.23 2373023.43 2405973.88 2391620.04 2451732.56 241
test_0728_THIRD5016.02 2261363.85 2194894.28 224387.23 2042023.43 2203973.88 223620.04 196732.56 201
GSMVS10000000.00 264
sam_mvs110000000.00 26810000000.00 264
sam_mvs10000000.00 268
MTGPAbinary10000000.00 271
test_post110000000.00 26310000000.00 26510000000.00 26810000000.00 26710000000.00 266
test_post10000000.00 26510000000.00 26810000000.00 267
patchmatchnet-post10000000.00 26510000000.00 26810000000.00 267
MTMP10000000.00 26310000000.00 271
test9_res0.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
test_prior40.00 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 27110000000.00 26710000000.00 26610000000.00 26610000000.00 264
plane_prior410000000.00 265
plane_prior310000000.00 27010000000.00 26710000000.00 267
plane_prior210000000.00 26310000000.00 267
plane_prior1.00 562.00 882.00 892.00 87
n214.20 128
nn1.42 64
door-mid1.42 64
test111.00 57
door99.00 162
HQP5-MVS10000000.00 270
BP-MVS10000000.00 266
HQP4-MVS10000000.00 26710000000.00 26710000000.00 264
HQP3-MVS10000000.00 27110000000.00 266
HQP2-MVS10000000.00 268
MDTV_nov1_ep13_2view9.99 1109.99 1089.99 1099.99 1089.99 1089.99 1069.99 107
ACMMP++_ref10000000.00 266
ACMMP++10000000.00 266
Test By Simon990.00 241