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 bysort bysort bysort bysort bysorted 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
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_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
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
hse-mvs30.30 170.30 180.30 220.30 290.30 290.30 290.30 300.30 290.30 280.30 260.30 280.30 290.30 270.30 270.30 27
hse-mvs20.30 170.30 180.30 220.30 290.30 290.30 290.30 300.30 290.30 280.30 260.30 280.30 290.30 270.30 270.30 27
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-MVSNet0.37 210.36 220.37 260.37 330.37 330.37 330.32 340.37 330.37 320.37 300.37 320.37 330.37 310.37 310.37 31
v1441920.40 220.40 230.40 270.40 340.40 340.40 340.40 360.40 340.40 330.40 310.40 330.40 340.40 320.40 320.40 32
v19219200.40 220.40 230.40 270.40 340.40 340.40 340.40 360.40 340.40 330.40 310.40 330.40 340.40 320.40 320.40 32
v11920.40 220.40 230.40 270.40 340.40 340.40 340.40 360.40 340.40 330.40 310.40 330.40 340.40 320.40 320.40 32
v11440.40 220.40 230.40 270.40 340.40 340.40 340.40 360.40 340.40 330.40 310.40 330.40 340.40 320.40 320.40 32
v1480.40 220.40 230.40 270.40 340.40 340.40 340.40 360.40 340.40 330.40 310.40 330.40 340.40 320.40 320.40 32
v7n0.40 220.40 230.40 270.40 340.40 340.40 340.40 360.40 340.40 330.40 310.40 330.40 340.40 320.40 320.40 32
v12400.40 220.40 230.40 270.40 340.40 340.40 340.40 360.40 340.40 330.40 310.40 330.40 340.40 320.40 320.40 32
v80.40 220.40 230.40 270.40 340.40 340.40 340.40 360.40 340.40 330.40 310.40 330.40 340.40 320.40 320.40 32
v100.40 220.40 230.40 270.40 340.40 340.40 340.40 360.40 340.40 330.40 310.40 330.40 340.40 320.40 320.40 32
v2v4820.40 220.40 230.40 270.40 340.40 340.40 340.40 360.40 340.40 330.40 310.40 330.40 340.40 320.40 320.40 32
V420.40 220.40 230.40 270.40 340.40 340.40 340.40 360.40 340.40 330.40 310.40 330.40 340.40 320.40 320.40 32
GA-MVS0.40 220.40 230.40 270.40 340.40 340.40 340.40 360.40 340.40 330.40 310.40 330.40 340.40 320.40 320.40 32
Fast-Effi-MVS+0.41 340.40 230.41 390.41 460.41 460.41 460.35 350.41 460.41 450.41 430.41 450.41 460.41 440.41 440.41 44
Fast-Effi-MVS+-dtu0.44 350.44 360.44 400.44 470.44 470.44 470.44 480.44 470.44 460.44 440.44 460.44 470.44 450.44 450.44 45
Effi-MVS+-dtu0.59 370.61 390.53 410.68 530.53 480.53 480.68 540.68 530.53 470.53 450.68 520.53 480.68 510.53 460.53 46
DIV-MVS_2432*16000.60 380.60 380.60 420.60 490.60 490.60 500.60 500.60 490.60 480.60 460.60 480.60 490.60 460.60 480.60 47
EIA-MVS0.62 390.62 400.62 430.62 500.62 500.62 510.62 510.62 500.62 490.62 470.62 490.62 500.62 470.62 490.62 48
ETV-MVS0.62 390.62 400.62 430.62 500.62 500.62 510.62 510.62 500.62 490.62 470.62 490.62 500.62 470.62 490.62 48
CS-MVS0.62 390.62 400.62 430.62 500.62 500.62 510.62 510.62 500.62 490.62 470.62 490.62 500.62 470.62 490.62 48
Effi-MVS+0.58 360.56 370.62 430.53 480.62 500.53 480.53 490.53 480.62 490.62 470.53 470.62 500.62 470.53 460.62 48
mvs-test10.68 420.68 430.68 470.68 530.68 540.68 540.68 540.68 530.68 530.68 510.68 520.68 540.68 510.68 520.68 52
CDS-MVSNet0.88 430.88 440.88 480.88 550.88 550.88 550.88 560.88 550.88 540.88 520.88 540.88 550.88 530.88 530.88 53
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 430.88 440.88 480.88 550.88 550.88 550.88 560.88 550.88 540.88 520.88 540.88 550.88 530.88 530.88 53
LCM-MVSNet-Re0.89 450.89 460.89 500.89 570.89 570.89 570.89 580.89 570.89 560.89 540.89 560.89 570.89 550.89 550.89 55
DeepMVS_CXcopyleft1.00 511.00 581.00 581.00 591.00 581.00 571.00 551.00 571.00 581.00 561.00 561.00 56
MDA-MVSNet-bldmvs1.20 461.20 471.20 521.20 591.20 601.20 581.20 611.20 591.20 581.20 561.20 581.20 591.20 571.20 571.20 57
YYNet11.20 461.20 471.20 521.20 591.20 601.20 581.20 611.20 591.20 581.20 561.20 581.20 591.20 571.20 571.20 57
MDA-MVSNet_test_wron1.20 461.20 471.20 521.20 591.20 601.20 581.20 611.20 591.20 581.20 561.20 581.20 591.20 571.20 571.20 57
KD-MVS_2432*16001.30 491.30 501.30 551.30 621.30 631.30 611.30 641.30 621.30 611.30 591.30 611.30 621.30 601.30 601.30 60
miper_refine_blended1.30 491.30 501.30 551.30 621.30 631.30 611.30 641.30 621.30 611.30 591.30 611.30 621.30 601.30 601.30 60
EI-MVSNet-UG-set1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
EI-MVSNet-Vis-set1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
Regformer-31.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
Regformer-41.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
Regformer-11.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
Regformer-21.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
EI-MVSNet1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
Regformer1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
CVMVSNet1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
EU-MVSNet1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
PS-CasMVS1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
UniMVSNet_NR-MVSNet1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
PEN-MVS1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
TransMVSNet (Re)1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
DTE-MVSNet1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
DU-MVS1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
UniMVSNet (Re)1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
CP-MVSNet1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
WR-MVS_H1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
WR-MVS1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
NR-MVSNet1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
Baseline_NR-MVSNet1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
TranMVSNet+NR-MVSNet1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
MVSFormer1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
jason1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
jason: jason.
lupinMVS1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
test_djsdf1.42 511.42 521.42 571.42 641.42 651.42 631.42 661.42 641.42 631.42 611.42 631.42 641.42 621.42 621.42 62
alignmvs2.00 782.00 792.00 842.00 912.00 922.00 902.00 952.00 912.00 902.00 882.00 902.00 912.00 892.00 892.00 89
nrg0302.00 782.00 792.00 842.00 912.00 922.00 902.00 952.00 912.00 902.00 882.00 902.00 912.00 892.00 892.00 89
LFMVS2.00 782.00 792.00 842.00 912.00 922.00 902.00 952.00 912.00 902.00 882.00 902.00 912.00 892.00 892.00 89
VDD-MVS2.00 782.00 792.00 842.00 912.00 922.00 902.00 952.00 912.00 902.00 882.00 902.00 912.00 892.00 892.00 89
VDDNet2.00 782.00 792.00 842.00 912.00 922.00 902.00 952.00 912.00 902.00 882.00 902.00 912.00 892.00 892.00 89
VPNet2.00 782.00 792.00 842.00 912.00 922.00 902.00 952.00 912.00 902.00 882.00 902.00 912.00 892.00 892.00 89
VNet2.00 782.00 792.00 842.00 912.00 922.00 902.00 952.00 912.00 902.00 882.00 902.00 912.00 892.00 892.00 89
VPA-MVSNet2.00 782.00 792.00 842.00 912.00 922.00 902.00 952.00 912.00 902.00 882.00 902.00 912.00 892.00 892.00 89
cascas2.00 782.00 792.00 842.00 912.00 922.00 902.00 952.00 912.00 902.00 882.00 902.00 912.00 892.00 892.00 89
UnsupCasMVSNet_eth5.90 875.90 885.90 935.90 1005.90 1015.90 1005.90 1055.90 1015.90 995.90 975.90 1005.90 1005.90 985.90 1005.90 99
UnsupCasMVSNet_bld5.90 875.90 885.90 935.90 1005.90 1015.90 1005.90 1055.90 1015.90 995.90 975.90 1005.90 1005.90 985.90 1005.90 99
WTY-MVS5.90 875.90 885.90 935.90 1005.90 1015.90 1005.90 1055.90 1015.90 995.90 975.90 1005.90 1005.90 985.90 1005.90 99
HY-MVS5.90 15.90 875.90 885.90 935.90 1005.90 1015.90 1005.90 1055.90 1015.90 995.90 975.90 1005.90 1005.90 985.90 1005.90 99
sss5.90 875.90 885.90 935.90 1005.90 1015.90 1005.90 1055.90 1015.90 995.90 975.90 1005.90 1005.90 985.90 1005.90 99
Test_1112_low_res5.90 875.90 885.90 935.90 1005.90 1015.90 1005.90 1055.90 1015.90 995.90 975.90 1005.90 1005.90 985.90 1005.90 99
1112_ss5.90 875.90 885.90 935.90 1005.90 1015.90 1005.90 1055.90 1015.90 995.90 975.90 1005.90 1005.90 985.90 1005.90 99
ab-mvs-re5.90 875.90 885.90 935.90 1005.90 1015.90 1005.90 1055.90 1015.90 995.90 975.90 1005.90 1005.90 985.90 1005.90 99
ab-mvs5.90 875.90 885.90 935.90 1005.90 1015.90 1005.90 1055.90 1015.90 995.90 975.90 1005.90 1005.90 985.90 1005.90 99
CDPH-MVS6.66 966.66 976.66 1026.66 1096.66 1106.66 1096.66 1146.66 1106.66 1086.66 1066.66 1096.66 1096.66 1076.66 1096.66 108
dp87.20 114113.80 1187.42 10310.50 1218.88 111298.82 1372.70 104510.35 1537.79 109172.93 1283.37 999.16 11014.00 1213.71 994.23 98
MDTV_nov1_ep13_2view9.99 1129.99 1109.99 1119.99 1109.99 1109.99 1089.99 109
MDTV_nov1_ep139.99 989.99 1109.99 1129.99 1109.99 1169.99 1119.99 1109.99 1079.99 1109.99 1119.99 1089.99 110
xiu_mvs_v1_base_debu10.28 9710.28 9910.28 10410.28 11110.28 11410.28 11210.28 11710.28 11310.28 11210.28 10810.28 11210.28 11210.28 11010.28 11110.28 110
xiu_mvs_v2_base10.28 9710.28 9910.28 10410.28 11110.28 11410.28 11210.28 11710.28 11310.28 11210.28 10810.28 11210.28 11210.28 11010.28 11110.28 110
xiu_mvs_v1_base10.28 9710.28 9910.28 10410.28 11110.28 11410.28 11210.28 11710.28 11310.28 11210.28 10810.28 11210.28 11210.28 11010.28 11110.28 110
xiu_mvs_v1_base_debi10.28 9710.28 9910.28 10410.28 11110.28 11410.28 11210.28 11710.28 11310.28 11210.28 10810.28 11210.28 11210.28 11010.28 11110.28 110
cdsmvs_eth3d_5k10.28 9710.28 9910.28 10410.28 11110.28 11410.28 11210.28 11710.28 11310.28 11210.28 10810.28 11210.28 11210.28 11010.28 11110.28 110
pcd_1.5k_mvsjas10.28 9710.28 9910.28 10410.28 11110.28 11410.28 11210.28 11710.28 11310.28 11210.28 10810.28 11210.28 11210.28 11010.28 11110.28 110
PS-MVSNAJss10.28 9710.28 9910.28 10410.28 11110.28 11410.28 11210.28 11710.28 11310.28 11210.28 10810.28 11210.28 11210.28 11010.28 11110.28 110
PS-MVSNAJ10.28 9710.28 9910.28 10410.28 11110.28 11410.28 11210.28 11710.28 11310.28 11210.28 10810.28 11210.28 11210.28 11010.28 11110.28 110
jajsoiax10.28 9710.28 9910.28 10410.28 11110.28 11410.28 11210.28 11710.28 11310.28 11210.28 10810.28 11210.28 11210.28 11010.28 11110.28 110
mvs_tets10.28 9710.28 9910.28 10410.28 11110.28 11410.28 11210.28 11710.28 11310.28 11210.28 10810.28 11210.28 11210.28 11010.28 11110.28 110
SR-MVS-dyc-post11.55 10711.55 10911.55 11411.55 12211.55 12411.55 12211.55 12911.55 12311.55 12211.55 11811.55 12311.55 12211.55 12011.55 12111.55 120
XXY-MVS15.00 10815.00 11015.00 11515.00 12315.00 12515.00 12315.00 13115.00 12415.00 12315.00 11915.00 12815.00 12315.00 12215.00 12315.00 122
GBi-Net44.67 11349.24 11530.96 11647.53 12847.57 130126.09 1298.00 11576.99 12926.09 12473.50 12511.27 12230.55 12461.12 12712.58 12214.75 121
BH-w/o40.00 10940.00 11140.00 11740.00 12440.00 12640.00 12540.00 14840.00 12540.00 12540.00 12040.00 14640.00 12540.00 12340.00 13940.00 134
BH-untuned40.00 10940.00 11140.00 11740.00 12440.00 12640.00 12540.00 14840.00 12540.00 12540.00 12040.00 14640.00 12540.00 12340.00 13940.00 134
BH-RMVSNet40.00 10940.00 11140.00 11740.00 12440.00 12640.00 12540.00 14840.00 12540.00 12540.00 12040.00 14640.00 12540.00 12340.00 13940.00 134
TR-MVS40.00 10940.00 11140.00 11740.00 12440.00 12640.00 12540.00 14840.00 12540.00 12540.00 12040.00 14640.00 12540.00 12340.00 13940.00 134
new_pmnet88.14 11598.62 11656.70 12198.14 13756.07 131246.79 13115.37 132148.06 13050.77 129143.13 12623.35 12962.65 12993.26 12868.71 14651.38 145
N_pmnet88.14 11598.62 11656.70 12198.14 13756.07 131246.79 13115.37 132148.06 13050.77 129143.13 12623.35 12962.65 12993.26 12868.71 14651.38 145
zzz-MVS833442.10 2391111233.77 24567.09 12365.59 12964.81 133284.50 13310000000.00 273219.97 13759.62 131229.89 14012.72 124103.00 146203.67 14627.93 12433.46 123
MTAPA833442.10 2391111233.77 24567.09 12365.59 12964.81 133284.50 13310000000.00 273219.97 13759.62 131229.89 14012.72 124103.00 146203.67 14627.93 12433.46 123
MP-MVS-pluss833433.63 2381111219.60 24475.70 12974.28 13173.29 135284.50 13311.35 127238.58 13965.86 133255.35 14614.55 126115.69 14910000000.00 26831.94 12638.12 132
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 121133.18 12375.70 12974.28 13173.29 135284.50 13311.35 127238.58 13965.86 133255.35 14614.55 126115.69 149222.18 14831.94 12638.12 132
CANet110.62 117124.04 11970.34 12582.03 13374.27 137325.54 13825.25 134207.16 13369.28 135194.38 12927.53 13195.79 139147.76 13237.43 12840.97 138
CANet_DTU110.62 117124.04 11970.34 12582.03 13374.27 137325.54 13825.25 134207.16 13369.28 135194.38 12927.53 13195.79 139147.76 13237.43 12840.97 138
MVS_0304110.62 117124.04 11970.34 12582.03 13374.27 137325.54 13825.25 134207.16 13369.28 135194.38 12927.53 13195.79 139147.76 13237.43 12840.97 138
UGNet110.62 117124.04 11970.34 12582.03 13374.27 137325.54 13825.25 134207.16 13369.28 135194.38 12927.53 13195.79 139147.76 13237.43 12840.97 138
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
FMVSNet5124.76 122140.93 12476.26 131107.44 140100.17 145329.88 14227.12 141259.44 14474.30 139204.34 13330.74 13592.41 132196.98 13638.15 13236.19 125
test1124.76 122140.93 12476.26 131107.44 140100.17 145329.88 14227.12 141259.44 14474.30 139204.34 13330.74 13592.41 132196.98 13638.15 13236.19 125
FMVSNet3124.76 122140.93 12476.26 131107.44 140100.17 145329.88 14227.12 141259.44 14474.30 139204.34 13330.74 13592.41 132196.98 13638.15 13236.19 125
FMVSNet2124.76 122140.93 12476.26 131107.44 140100.17 145329.88 14227.12 141259.44 14474.30 139204.34 13330.74 13592.41 132196.98 13638.15 13236.19 125
FMVSNet1124.76 122140.93 12476.26 131107.44 140100.17 145329.88 14227.12 141259.44 14474.30 139204.34 13330.74 13592.41 132196.98 13638.15 13236.19 125
MIMVSNet1124.76 122140.93 12476.26 131107.44 140100.17 145329.88 14227.12 141259.44 14474.30 139204.34 13330.74 13592.41 132196.98 13638.15 13236.19 125
MIMVSNet124.76 122140.93 12476.26 131107.44 140100.17 145329.88 14227.12 141259.44 14474.30 139204.34 13330.74 13592.41 132196.98 13638.15 13236.19 125
PVSNet_Blended_VisFu136.90 130155.40 13281.40 138111.00 14796.20 142407.00 14925.90 138251.60 14185.10 146240.50 14237.00 14299.90 143199.80 14340.70 14348.10 142
PVSNet_BlendedMVS136.90 130155.40 13281.40 138111.00 14796.20 142407.00 14925.90 138251.60 14185.10 146240.50 14237.00 14299.90 143199.80 14340.70 14348.10 142
PVSNet_Blended136.90 130155.40 13281.40 138111.00 14796.20 142407.00 14925.90 138251.60 14185.10 146240.50 14237.00 14299.90 143199.80 14340.70 14348.10 142
DSMNet-mixed131.33 129143.00 13196.33 14299.00 13981.00 141201.00 13045.00 152335.00 15199.00 149251.00 14538.00 145110.00 148120.00 13199.00 14998.00 148
test1172216.26 133257.16 13593.57 141310.10 154111.10 15231.10 12445.10 153192.73 132176.39 150512.31 14966.33 15278.35 131891.20 17389.18 14891.27 147
DP-MVS264.78 134296.02 136171.04 143191.70 150183.96 153827.10 16078.36 154438.24 152176.64 151435.12 14865.04 151230.52 153334.02 149117.96 15098.64 149
EG-PatchMatch MVS437.03 137493.12 141268.77 146264.80 152260.20 1561491.80 17598.00 163723.20 161238.80 152722.40 15863.10 150382.00 157629.00 160207.00 166164.10 154
RPSCF394.81 136445.63 138242.35 144276.55 153253.63 1551207.27 17090.69 159715.56 160241.57 153684.87 157111.96 162320.02 154548.38 156133.81 151153.39 151
ADS-MVSNet2443.33 138482.84 139324.79 153434.94 165387.73 1631110.57 16887.69 157887.02 166282.92 154779.29 15998.57 159422.76 162502.40 150162.19 157163.87 152
ADS-MVSNet443.33 138482.84 139324.79 153434.94 165387.73 1631110.57 16887.69 157887.02 166282.92 154779.29 15998.57 159422.76 162502.40 150162.19 157163.87 152
DP-MVS Recon516.25 145581.17 146321.48 152361.02 156429.00 1671995.36 18178.48 155796.20 163283.32 156796.02 16196.78 156382.98 158636.72 162186.66 163152.46 150
MVP-Stereo473.58 140533.67 142293.33 147376.00 158318.00 1571461.00 17396.00 160835.00 164290.00 157804.00 16297.00 157383.00 159688.00 167156.00 152179.00 156
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 140533.67 142293.33 147376.00 158318.00 1571461.00 17396.00 160835.00 164290.00 157804.00 16297.00 157383.00 159688.00 167156.00 152179.00 156
PatchmatchNetpermissive492.52 142551.22 144316.40 151400.20 161357.90 1611277.10 171115.80 1681034.60 176315.90 159874.00 165155.10 167402.20 161629.50 161158.80 154189.10 158
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
DELS-MVS514.57 144587.73 147295.12 149343.03 155328.09 1591540.48 177116.22 169988.59 168325.44 160906.22 166119.86 164365.72 155788.60 169161.09 156191.55 159
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
ACMH+729.97 2661.38 151754.00 154383.51 156368.96 157376.38 1622483.74 19382.42 1561089.25 177333.39 1611219.68 18166.53 153573.60 178957.86 176184.14 162200.56 160
tpmvs501.65 143567.42 145304.33 150395.39 160356.32 1601512.04 176216.53 194994.15 169350.16 162804.16 164119.38 163380.98 156555.14 157159.87 155175.69 155
IterMVS615.05 149691.66 152385.23 157516.40 168454.80 1681863.80 179102.10 1651142.20 178364.10 1631093.20 180135.00 165480.40 165826.90 170181.20 160220.50 161
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 150700.96 153362.78 155426.10 164409.25 1651822.69 178124.42 1771186.23 179366.85 1641079.42 178190.60 180451.78 164930.72 175181.59 161227.30 162
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
new-patchmatchnet766.12 154859.03 159487.38 169595.68 170536.14 1732346.27 184142.51 1821488.08 186422.43 1651361.32 185163.65 170628.60 1831003.74 185207.61 167297.41 175
SixPastTwentyTwo773.62 155869.37 161486.35 168603.45 172547.15 1812532.14 194106.92 1671434.95 185428.08 1661360.56 184165.15 171628.96 184984.09 177209.01 168282.94 172
lessismore_v0569.20 174667.25 190644.68 19096.45 162428.86 1671514.17 193204.21 187756.58 1871061.60 187197.79 165306.34 176
IterMVS-LS758.94 153856.56 158466.10 166606.60 173546.80 1802309.90 183122.20 1761402.80 184463.50 1681348.20 183192.60 181574.60 1791028.60 186234.60 177276.90 171
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
mvs_anonymous774.90 156882.28 162452.77 159636.50 182537.20 1742348.80 185120.30 1701504.30 187474.40 1691371.10 186186.90 173564.70 1721078.90 188219.30 169256.40 163
casdiffmvs774.90 156882.28 162452.77 159636.50 182537.20 1742348.80 185120.30 1701504.30 187474.40 1691371.10 186186.90 173564.70 1721078.90 188219.30 169256.40 163
diffmvs774.90 156882.28 162452.77 159636.50 182537.20 1742348.80 185120.30 1701504.30 187474.40 1691371.10 186186.90 173564.70 1721078.90 188219.30 169256.40 163
baseline2774.90 156882.28 162452.77 159636.50 182537.20 1742348.80 185120.30 1701504.30 187474.40 1691371.10 186186.90 173564.70 1721078.90 188219.30 169256.40 163
baseline1774.90 156882.28 162452.77 159636.50 182537.20 1742348.80 185120.30 1701504.30 187474.40 1691371.10 186186.90 173564.70 1721078.90 188219.30 169256.40 163
baseline774.90 156882.28 162452.77 159636.50 182537.20 1742348.80 185120.30 1701504.30 187474.40 1691371.10 186186.90 173564.70 1721078.90 188219.30 169256.40 163
ACMH993.80 5967.92 1701106.11 180553.33 172494.00 167534.00 1723581.00 199136.00 1791585.00 195478.00 1751871.00 19890.00 154839.00 1901460.00 198260.00 178287.00 173
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet1207.94 6829.56 165937.18 168506.69 170645.55 188585.72 1832477.98 192130.52 1781578.29 194509.50 1761460.01 192194.90 182637.19 1851170.78 195267.07 181297.17 174
Gipumacopyleft689.75 152767.00 155458.00 165613.00 180549.00 1821943.00 180187.00 1911230.00 180518.00 1771092.00 179203.00 186564.00 171892.00 174225.00 175261.00 169
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft863.65 3957.08 1691054.11 178666.00 184401.00 162495.00 1703790.00 201279.00 1961607.00 196521.00 1781745.00 19690.00 1541105.00 207639.00 163415.00 192398.00 189
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
K. test v3877.74 167980.16 170570.46 1751316.85 213813.15 1992565.52 195103.78 1661509.49 193548.33 1791258.90 182219.93 191587.82 1801102.37 194196.30 164310.42 177
GG-mvs-BLEND596.01 176611.29 177600.33 184790.30 157513.12 225552.71 180567.40 150662.54 231531.67 166503.93 152779.80 212656.02 197
gg-mvs-nofinetune594.69 146605.37 148562.67 173617.29 181500.33 171772.30 156413.12 214579.21 154552.71 180567.40 150662.54 231531.67 166503.93 152779.80 212656.02 197
CR-MVSNet612.36 148617.81 151596.01 176611.29 177600.33 184790.30 157513.12 225579.21 154552.71 180567.40 150662.54 231531.67 166503.93 152779.80 212656.02 197
MVSTER890.06 1681005.91 177542.52 171736.13 193653.90 1912616.56 196145.22 1841692.10 197555.69 1831554.72 194266.25 192660.02 1861219.66 196266.84 180313.64 178
ACMP1246.57 71086.24 1781235.17 182639.45 179596.53 171639.91 1893904.24 202152.04 1851851.54 199566.58 1841997.95 200138.50 166938.30 1941605.46 200303.70 187340.14 180
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PVSNet_01661.03 9968.54 1711066.82 179673.70 185706.94 191695.69 1922669.02 197153.52 1862108.17 203605.54 1851679.14 195213.26 190886.75 1931236.76 197229.01 176438.67 190
tmp_tt371.08 135412.78 137246.00 145231.00 151197.00 1541293.00 172376.00 206756.00 162609.00 18671.00 124106.00 161195.00 151102.00 130171.00 159346.00 182
RE-MVS-def610.10 149610.10 175610.10 187610.10 154610.10 234610.10 158610.10 187610.10 155610.10 221610.10 158610.10 196610.10 194
SR-MVS610.10 147610.10 149610.10 178610.10 175610.10 187610.10 154610.10 234610.10 158610.10 187610.10 155610.10 221610.10 181610.10 158610.10 196610.10 194
MSLP-MVS++1242.93 1831411.08 186738.48 189712.71 192712.68 1934168.17 204136.50 1802276.40 205613.28 1892368.60 205161.61 1691130.38 2081964.54 207297.88 184372.39 185
MVS_111021_LR1136.45 1811298.72 184649.64 180756.17 194726.26 1953785.94 200138.15 1812190.64 204629.63 1902064.39 201165.45 172874.83 1921678.43 203279.70 182347.82 183
ACMMPR1296.60 1851480.82 188743.96 190899.25 198763.47 1974305.47 205143.90 1832530.94 208683.99 1912346.34 204201.65 1851098.25 2061920.59 206295.21 183370.16 184
test_04021110.00 1801260.00 183660.00 181900.00 199780.00 1983300.00 198210.00 1932040.00 202690.00 1921950.00 199300.00 196810.00 1891620.00 201330.00 188390.00 188
DeepC-MVS_fast2190.19 121535.59 1881886.82 192481.89 167847.73 195830.16 2007943.84 226189.23 1922398.83 206691.73 1932341.13 203209.16 188230.25 1521999.25 208360.46 189385.25 187
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMM1311.08 81165.06 1821332.72 185662.07 183584.90 169715.99 1944373.59 206153.99 1871880.27 200709.02 1942316.97 202188.63 179939.89 1951484.30 199302.78 186330.34 179
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
TSAR-MVS + GP.1386.84 1861622.84 190678.81 186952.13 200840.17 2015358.21 210170.75 1892650.47 209713.54 1952394.28 206209.42 189855.56 1911854.36 205302.42 185340.71 181
MG-MVS1256.50 1841432.00 187730.00 188610.00 174760.00 1964720.00 207169.00 1881920.00 201723.00 1962510.00 208201.00 1841050.00 2051645.00 202390.00 191380.00 186
CSCG826.03 164963.29 169414.24 158421.52 163426.11 1662230.35 182179.52 1901827.44 198733.43 197933.12 168281.25 193545.23 1701800.35 204262.64 179271.38 170
FPMVS1407.00 1871495.59 1891141.23 201648.01 189893.85 2034124.00 203503.81 2243219.04 211742.72 1982498.84 207157.98 1681727.83 214832.93 171732.98 211802.00 206
Patchmtry1090.75 1791198.88 181766.38 1911290.90 211485.90 1692423.98 1911267.30 2561297.17 181923.90 199923.40 1671215.54 252990.23 196667.90 164779.80 212823.02 210
PatchT856.34 166860.99 160842.38 1921290.90 211880.90 202790.30 1571267.30 256579.21 154923.90 199567.40 150662.54 231990.23 196887.56 172779.80 212656.02 197
COLMAP_ROBcopyleft2144.59 111658.33 1891869.33 1911025.33 2001030.00 2081023.00 2135311.00 209359.00 2043044.00 210937.00 2012892.00 209332.00 2001440.00 2112312.00 210607.00 195613.00 196
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ambc999.00 193999.00 201999.00 206999.00 161999.00 249999.00 202999.00 169999.00 244999.00 198999.00 178999.00 230999.00 227
OurMVSNet-221017-0999.00 172999.00 171999.00 193999.00 201999.00 206999.00 161999.00 249999.00 170999.00 202999.00 169999.00 244999.00 198999.00 178999.00 230999.00 227
EPMVS999.00 172999.00 171999.00 193999.00 201999.00 206999.00 161999.00 249999.00 170999.00 202999.00 169999.00 244999.00 198999.00 178999.00 230999.00 227
uanet_test1000.00 1741000.00 1731000.00 1961000.00 2041000.00 2091000.00 1641000.00 2521000.00 1721000.00 2051000.00 1721000.00 2471000.00 2011000.00 1811000.00 2331000.00 230
sosnet1000.00 1741000.00 1731000.00 1961000.00 2041000.00 2091000.00 1641000.00 2521000.00 1721000.00 2051000.00 1721000.00 2471000.00 2011000.00 1811000.00 2331000.00 230
USDC1000.00 1741000.00 1731000.00 1961000.00 2041000.00 2091000.00 1641000.00 2521000.00 1721000.00 2051000.00 1721000.00 2471000.00 2011000.00 1811000.00 2331000.00 230
TinyColmap1000.00 1741000.00 1731000.00 1961000.00 2041000.00 2091000.00 1641000.00 2521000.00 1721000.00 2051000.00 1721000.00 2471000.00 2011000.00 1811000.00 2331000.00 230
JIA-IIPM804.30 163835.64 157710.26 187885.90 196895.90 204455.98 152668.73 2381297.17 1811002.26 2091001.67 176655.98 229756.98 188667.90 164885.21 224477.90 191
RPMNet787.26 162829.13 156661.63 182885.90 196895.90 204455.98 152610.10 2341297.17 1811002.26 2091001.67 176655.98 229611.10 182667.90 164885.21 224477.90 191
F-COLMAP1878.17 1902113.11 1931173.33 2041231.00 2091174.00 2146297.00 212392.00 2093356.00 2131087.00 2113082.00 210361.00 2041670.00 2132523.00 212689.00 202676.00 201
PCF-MVS4335.85 202272.23 1962597.03 1991297.84 2051701.20 2181332.37 2158105.11 227451.45 2174031.84 2181099.10 2123966.50 217467.45 2111734.05 2152701.68 214848.94 221827.11 211
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CMPMVSbinary2623.62 151983.08 1922156.14 1941463.89 2141414.80 2151517.00 2195239.20 208867.40 2433310.30 2121128.70 2133489.90 212366.75 2052030.20 2252427.60 2111160.60 239844.46 213
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVScopyleft2352.88 132263.08 1952530.89 1981459.67 2131767.00 2261591.00 2227932.00 225399.00 2103643.00 2141176.00 2143569.00 214297.00 1951927.00 2213302.00 217693.00 206861.00 214
MVS-HIRNet2125.39 1932452.68 1961143.53 2022938.33 2511446.92 2186083.19 211391.74 2083801.71 2161202.10 2153439.72 211492.73 2131304.35 2103048.25 216676.32 201679.32 202
ZD-MVS1584.00 2161821.00 239378.00 2073721.00 2151231.00 2161833.00 197321.00 1991224.00 2092103.00 209692.00 205
DeepPCF-MVS3452.42 182670.71 2043021.57 2061618.12 2162377.67 2411751.39 2358915.70 232567.44 2324569.74 2241236.84 2174615.63 223513.23 2142291.32 2273515.48 221882.39 223811.66 208
PLCcopyleft2858.82 162192.92 1942474.00 1971349.67 2061407.00 2141356.00 2167164.00 217475.00 2213970.00 2171237.00 2183765.00 216451.00 2101891.00 2193006.00 215791.00 217802.00 206
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
Vis-MVSNetpermissive2877.42 2063170.00 2091999.67 2271673.00 2172042.00 2448593.00 230474.00 2206452.00 2411268.00 2195125.00 229339.00 2013004.00 2414222.00 231384.00 190953.00 223
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
DeepC-MVS3917.13 193155.06 2093601.83 2121814.72 2232515.52 2441941.53 24010432.50 243589.42 2334789.45 2251298.65 2207677.31 245578.35 2202589.53 2323611.78 223923.52 226913.10 219
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
test_0728_THIRD5016.02 2281363.85 2214894.28 226387.23 2062023.43 2223973.88 225620.04 198732.56 203
test07261725.60 2191598.35 2239203.30 233315.86 1995016.02 2281363.85 2214894.28 226387.23 206
SD-MVS2654.53 2033055.56 2081451.45 2111725.60 2191598.35 2239203.30 233315.86 1995016.02 2281363.85 2214894.28 226387.23 2062023.43 2223973.88 225620.04 198732.56 203
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 2002839.56 2031606.00 2151732.00 2221557.00 2218375.00 229483.00 2224370.00 2221371.00 2244200.00 218350.00 2022207.00 2263877.00 224798.00 2181054.00 234
SteuartSystems-ACMMP2891.50 2073284.78 2101711.67 2191954.00 2291655.00 22910117.00 242445.00 2165102.00 2311375.00 2255126.00 230351.00 2032638.00 2384402.00 232691.00 204842.00 212
Skip Steuart: Steuart Systems R&D Blog.
AdaColmapbinary2570.77 2022948.61 2051437.24 2101873.64 2281526.60 2207819.77 224373.97 2054970.45 2261479.29 2264648.46 224525.80 2161904.97 2204150.42 229695.69 207880.14 218
LF4IMVS2699.50 2053049.67 2071649.00 2171755.00 2231689.00 2308330.00 228464.00 2194997.00 2271528.00 2274763.00 225568.00 2192296.00 2284215.00 230827.00 220962.00 224
tpmrst2557.50 2012847.12 2041688.66 2181784.08 2271778.25 2367445.50 223342.14 2024471.54 2231534.55 2284382.10 222530.10 2172361.21 2294142.81 228991.22 228926.51 220
CHOSEN 280x4202340.81 1972643.03 2001434.14 2072025.55 2351629.36 2266542.40 213412.49 2114219.70 2191547.02 2294328.52 219650.74 2261798.26 2163333.17 218727.72 208874.79 215
CHOSEN 1792x26882340.81 1972643.03 2001434.14 2072025.55 2351629.36 2266542.40 213412.49 2114219.70 2191547.02 2294328.52 219650.74 2261798.26 2163333.17 218727.72 208874.79 215
HyFIR lowres test2340.81 1972643.03 2001434.14 2072025.55 2351629.36 2266542.40 213412.49 2114219.70 2191547.02 2294328.52 219650.74 2261798.26 2163333.17 218727.72 208874.79 215
DPM-MVS3268.00 2103762.89 2131783.33 2211756.00 2241806.00 23712319.00 245307.00 1976319.00 2391557.00 2325763.00 232302.00 1972609.00 2345061.00 236482.00 193935.00 221
OPM-MVS3268.00 2103762.89 2131783.33 2211756.00 2241806.00 23712319.00 245307.00 1976319.00 2391557.00 2325763.00 232302.00 1972609.00 2345061.00 236482.00 193935.00 221
tpm23617.85 2144007.23 2162449.73 2322012.71 2311698.05 2317351.19 219869.29 2446132.06 2341588.28 2348007.42 2471281.09 2533888.11 2507472.04 2501351.00 2411763.02 247
tpm cat13617.85 2144007.23 2162449.73 2322012.71 2311698.05 2317351.19 219869.29 2446132.06 2341588.28 2348007.42 2471281.09 2533888.11 2507472.04 2501351.00 2411763.02 247
CostFormer3617.85 2144007.23 2162449.73 2322012.71 2311698.05 2317351.19 219869.29 2446132.06 2341588.28 2348007.42 2471281.09 2533888.11 2507472.04 2501351.00 2411763.02 247
tpm3617.85 2144007.23 2162449.73 2322012.71 2311698.05 2317351.19 219869.29 2446132.06 2341588.28 2348007.42 2471281.09 2533888.11 2507472.04 2501351.00 2411763.02 247
DVP-MVS3981.10 2204731.32 2251730.42 2202191.51 2381949.98 24116473.90 253355.33 2037172.90 2501622.98 2387879.79 246434.33 2092428.11 2315762.12 239689.04 203813.18 209
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
OpenMVS_ROBcopyleft1936.51 101959.51 1912224.88 1951163.39 2031253.91 2101434.22 2177065.71 216272.76 1952472.29 2071647.54 2393538.72 213200.37 1831496.48 2122575.17 213997.45 229559.48 193
TAPA-MVS6309.84 213374.90 2123806.99 2152078.63 2292535.47 2452499.25 2498816.16 231456.05 2186255.60 2381664.52 2406704.88 237629.95 2242768.38 2396343.93 246856.35 222968.25 225
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 2134065.89 2201914.35 2242349.10 2402141.30 24512362.70 247417.60 2156717.80 2451759.40 2416497.50 235518.18 2152629.38 2375164.32 238806.40 219972.38 226
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
3Dnovator+3414.41 173146.67 2083537.00 2111975.67 2252310.00 2392005.00 24310100.00 241626.00 2375753.00 2321803.00 2425179.00 231487.00 2122622.00 2364550.00 2331025.00 2371300.00 238
ITE_SJBPF2014.00 2281998.00 2301992.00 242701.00 2395989.00 2331812.00 2433612.00 215650.00 2252852.00 2404601.00 2341195.00 2401198.00 237
MVS_111021_HR3742.80 2184330.34 2211980.20 2262484.31 2432259.52 24614973.80 251515.90 2316500.13 2421949.21 2446146.89 234535.66 2182593.66 2334880.76 235986.37 2271087.43 235
SED-MVS4062.74 2224671.13 2242237.56 2302643.17 2462465.14 24813996.40 249493.26 2237619.38 2522107.24 2457416.93 244610.24 2233088.29 2466075.14 2451078.39 2381159.26 236
IU-MVS2725.60 2472598.35 250515.86 2277016.02 2462363.85 2465973.88 2411620.04 2471732.56 243
test_241102_TWO515.86 2277016.02 2462363.85 2466894.28 238887.23 2393023.43 2425973.88 2411620.04 2471732.56 243
test_241102_ONE2725.60 2472598.35 250515.86 2277016.02 2462363.85 2466894.28 238887.23 2393023.43 242
MSP-MVS4296.20 2234911.12 2272451.45 2362725.60 2472598.35 25016203.30 252515.86 2277016.02 2462363.85 2466894.28 238887.23 2393023.43 2425973.88 2411620.04 2471732.56 243
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
GST-MVS4000.00 2214533.33 2232400.00 2312400.00 2422400.00 2477200.00 2182400.00 2607200.00 2512400.00 2507200.00 2422400.00 2572400.00 2307200.00 2482400.00 2532400.00 252
MAR-MVS3973.16 2194387.92 2222728.86 2383345.27 2523341.39 25611403.90 244798.76 2416555.62 2442569.29 2516514.86 236834.97 2383237.43 2475891.08 2401577.54 2461607.76 239
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 2244906.56 2262803.67 2393844.00 2533116.00 25513454.00 248901.00 2486511.00 2432794.00 2527365.00 243754.00 2353634.00 2486622.00 2471914.00 2521661.00 242
OMC-MVS5022.26 2255748.82 2282842.58 2404905.27 2553101.27 25414933.60 250812.24 2429278.40 2532959.29 2538800.17 2511092.24 2513806.30 2497568.54 2541389.60 2451620.18 241
LS3D7684.71 2278776.23 2304410.16 2425298.55 2565631.53 25834329.90 2571504.57 25811554.00 2593896.41 25415111.00 257812.19 2365985.63 2553516.20 2222963.23 2541613.31 240
CLD-MVS7338.25 2268341.00 2294330.00 2414902.00 2544991.00 25723318.00 255728.00 24014437.00 2604378.00 25513379.00 256824.00 2375708.00 25411429.00 2601674.00 2512291.00 251
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MVEpermissive10021.00 2210550.67 23210002.44 23512195.33 2486242.00 2578768.00 26030896.00 2564451.00 26110331.00 2586247.00 25618296.00 258283.00 19421484.00 2617364.00 2495912.00 2566334.00 254
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 23311772.44 2367637.33 2439120.00 2588206.00 25922252.00 2542010.00 25924984.00 2617458.00 25722596.00 2592940.00 25810260.00 26011100.00 2593492.00 2554446.00 253
ZNCC-MVS9999.00 2289999.00 2319999.00 2449999.00 2599999.00 2619999.00 2379999.00 2649999.00 2549999.00 2589999.00 2529999.00 2609999.00 2569999.00 2559999.00 2579999.00 255
UA-Net10000.00 22910000.00 23210000.00 24510000.00 26010000.00 26210000.00 23810000.00 26510000.00 25510000.00 25910000.00 25310000.00 26110000.00 25710000.00 25610000.00 25810000.00 256
uncertanet10000.00 22910000.00 23210000.00 24510000.00 26010000.00 26210000.00 23810000.00 26510000.00 25510000.00 25910000.00 25310000.00 26110000.00 25710000.00 25610000.00 25810000.00 256
uanet10000.00 22910000.00 23210000.00 24510000.00 26010000.00 26210000.00 23810000.00 26510000.00 25510000.00 25910000.00 25310000.00 26110000.00 25710000.00 25610000.00 25810000.00 256
LTVRE_ROB20565.47 2323378.08 23422805.00 23725097.33 24915500.00 26319201.00 26542712.00 2586055.00 26238388.00 26216926.00 26238534.00 2607071.00 25935653.00 26229475.00 26110584.00 26120438.00 260
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 23534443.44 23827094.33 25029249.00 26425246.00 26651144.00 2596705.00 26342886.00 26322888.00 26348534.00 26113263.00 26437507.00 26379298.00 26216024.00 26218530.00 259
114514_t99999.00 23699999.00 23999999.00 25199999.00 26599999.00 26799999.00 26099999.00 26899999.00 26499999.00 26499999.00 26299999.00 26599999.00 26499999.00 26399999.00 26399999.00 261
PHI-MVS99999.00 23699999.00 23999999.00 25199999.00 26599999.00 26799999.00 26099999.00 26899999.00 26499999.00 26499999.00 26299999.00 26599999.00 26499999.00 26399999.00 26399999.00 261
XVG-OURS-SEG-HR999999.00 241999999.00 241999999.00 253999999.00 267999999.00 269999999.00 262999999.00 270999999.00 266999999.00 266999999.00 264999999.00 267999999.00 266999999.00 265999999.00 265999999.00 263
XVG-OURS999999.00 241999999.00 241999999.00 253999999.00 267999999.00 269999999.00 262999999.00 270999999.00 266999999.00 266999999.00 264999999.00 267999999.00 266999999.00 265999999.00 265999999.00 263
XVG-ACMP-BASELINE999999.00 241999999.00 241999999.00 253999999.00 267999999.00 269999999.00 262999999.00 270999999.00 266999999.00 266999999.00 264999999.00 267999999.00 266999999.00 265999999.00 265999999.00 263
Anonymous2024052110000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
cl-mvsnet210000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
miper_ehance_all_eth10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
miper_enhance_ethall10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
cl-mvsnet_10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
cl-mvsnet110000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
eth_miper_zixun_eth10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
testtj10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
ET-MVSNet_ETH3D10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
UniMVSNet_ETH3D10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
miper_lstm_enhance10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
D2MVS10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
test_yl10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
thisisatest053010000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
Anonymous2024052910000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
Anonymous20240521110000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
DCV-MVSNet10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
tttt051710000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
our_test_310000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
thisisatest051510000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
ppachtmachnet_test10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
SMA-MVScopyleft10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology
DPE-MVScopyleft10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part210000000.00 27010000000.00 27210000000.00 269
test_part110000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
thres100view90010000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
tfpnnormal10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
tfpn200view910000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
cl_fuxian10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
IterMVS-SCA-FT10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
pmmvs610000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
pmmvs510000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
Anonymous2023121110000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
pmmvs-eth3d10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
Anonymous2023120610000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
SCA10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
Patchmatch-test10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
Patchmatch-RL test10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
canonicalmvs10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
anonymousdsp10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
FIs10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
FC-MVSNet-test10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
sosnet-low-res10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
AllTest10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
TestCases10000000.00 25610000000.00 27010000000.00 27210000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
bset_n11_16_dypcd10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
RRT_MVS10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
HPM-MVS++copyleft10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
XVS10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
pm-mvs110000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
X-MVStestdata10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
APDe-MVS10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
APD-MVS_3200maxsize10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
pmmvs410000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
test-LLR10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
TESTMET0.1,110000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
test-mter10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
testgi10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
test20.0310000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
thres600view710000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
MP-MVScopyleft10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
thres40010000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
test12310000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
thres20010000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
test0.0.03 110000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
pmmvs310000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
EMVS10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
E-PMN10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
PGM-MVS10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
MCST-MVS10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
MVS_Test10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
PMMVS210000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
PM-MVS10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
HQP_MVS10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
plane_prior310000000.00 27210000000.00 26910000000.00 269
mPP-MVS10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
DWT-MVSNet_test10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
HPM-MVS_fast10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
RRT_test8_iter0510000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
HPM-MVScopyleft10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
LGP-MVS_train10000000.00 25610000000.00 27010000000.00 27210000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
EPNet_dtu10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP-NCC10000000.00 27010000000.00 26510000000.00 26910000000.00 269
ACMP_Plane10000000.00 27010000000.00 26510000000.00 26910000000.00 269
HQP4-MVS10000000.00 26910000000.00 26910000000.00 266
CNVR-MVS10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
NCCC10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
CP-MVS10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
CPTT-MVS10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
HQP-MVS10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
IS-MVSNet10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
PAPM_NR10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
PAPR10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
Vis-MVSNet (Re-imp)10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
PatchMatch-RL10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
TDRefinement10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
EPP-MVSNet10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
PMMVS10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
PAPM10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
ACMMPcopyleft10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
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 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
wuyk23d10000000.00 24410000000.00 24710000000.00 25610000000.00 27010000000.00 27210000000.00 26510000000.00 27310000000.00 26910000000.00 26910000000.00 26710000000.00 27010000000.00 26910000000.00 26810000000.00 26810000000.00 266
APD-MVScopyleft1000000000.00 3421000000000.00 3451000000000.00 3561000000000.00 3771000000000.00 3781000000000.00 3681000000000.00 3791000000000.00 3731000000000.00 3741000000000.00 3721000000000.00 3771000000000.00 3741000000000.00 3721000000000.00 3721000000000.00 370
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
OPU-MVS2451.45 2362725.60 2472598.35 2509203.30 2336894.28 238887.23 2393023.43 2425973.88 2411620.04 2471732.56 243
save fliter0.00 10.00 10.00 10.00 10.00 1
test_0728_SECOND1451.45 2111725.60 2191598.35 2239203.30 233315.86 1992023.43 2223973.88 225620.04 198732.56 203
GSMVS10000000.00 266
sam_mvs110000000.00 27010000000.00 266
sam_mvs10000000.00 270
MTGPAbinary10000000.00 273
test_post110000000.00 26510000000.00 26710000000.00 27010000000.00 26910000000.00 268
test_post10000000.00 26710000000.00 27010000000.00 269
patchmatchnet-post10000000.00 26710000000.00 27010000000.00 269
MTMP10000000.00 26510000000.00 273
gm-plane-assit611.29 177600.33 184579.21 154567.40 150531.67 166503.93 152
test9_res0.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
test_prior40.00 10.00 1
test_prior0.00 10.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
旧先验10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
无先验0.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM20.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
testdata10.00 10.00 1
plane_prior710000000.00 27010000000.00 272
plane_prior610000000.00 27010000000.00 27210000000.00 270
plane_prior510000000.00 27310000000.00 26910000000.00 26810000000.00 26810000000.00 266
plane_prior410000000.00 267
plane_prior210000000.00 26510000000.00 269
plane_prior110000000.00 270
plane_prior1.00 582.00 902.00 912.00 89
n214.20 130
nn1.42 66
door-mid1.42 66
test111.00 59
door99.00 164
HQP5-MVS10000000.00 272
BP-MVS10000000.00 268
HQP3-MVS10000000.00 27310000000.00 268
HQP2-MVS10000000.00 270
NP-MVS10000000.00 27010000000.00 27210000000.00 267
ACMMP++_ref10000000.00 268
ACMMP++10000000.00 268
Test By Simon990.00 243