High-resolution multi-view benchmark

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

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

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

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

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




Method Infoallhigh-res
multi-view		indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
fmvsm_s_conf0.1_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf0.1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf0.01_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmvis_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsm_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_cas_vis1_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
mvsany_test10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
APD_test10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_rt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis3_rt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
mvsany_test30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testf10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
APD_test20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_f0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
SF-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
9.140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
save fliter0.00 10.00 10.00 10.00 10.00 1
MVS_03040.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
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_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_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
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
QAPM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
h-mvs330.30 330.30 340.30 390.30 450.30 460.30 460.30 470.30 460.30 450.30 430.30 450.30 460.30 440.30 440.30 44
hse-mvs20.30 330.30 340.30 390.30 450.30 460.30 460.30 470.30 460.30 450.30 430.30 450.30 460.30 440.30 440.30 44
CL-MVSNet_self_test0.30 330.30 340.30 390.30 450.30 460.30 460.30 470.30 460.30 450.30 430.30 450.30 460.30 440.30 440.30 44
AUN-MVS0.30 330.30 340.30 390.30 450.30 460.30 460.30 470.30 460.30 450.30 430.30 450.30 460.30 440.30 440.30 44
LCM-MVSNet0.37 370.36 380.37 430.37 490.37 500.37 500.32 510.37 500.37 490.37 470.37 490.37 500.37 480.37 480.37 48
v1441920.40 380.40 390.40 440.40 500.40 510.40 510.40 530.40 510.40 500.40 480.40 500.40 510.40 490.40 490.40 49
v19219200.40 380.40 390.40 440.40 500.40 510.40 510.40 530.40 510.40 500.40 480.40 500.40 510.40 490.40 490.40 49
v11920.40 380.40 390.40 440.40 500.40 510.40 510.40 530.40 510.40 500.40 480.40 500.40 510.40 490.40 490.40 49
v11440.40 380.40 390.40 440.40 500.40 510.40 510.40 530.40 510.40 500.40 480.40 500.40 510.40 490.40 490.40 49
v1480.40 380.40 390.40 440.40 500.40 510.40 510.40 530.40 510.40 500.40 480.40 500.40 510.40 490.40 490.40 49
v7n0.40 380.40 390.40 440.40 500.40 510.40 510.40 530.40 510.40 500.40 480.40 500.40 510.40 490.40 490.40 49
v12400.40 380.40 390.40 440.40 500.40 510.40 510.40 530.40 510.40 500.40 480.40 500.40 510.40 490.40 490.40 49
v80.40 380.40 390.40 440.40 500.40 510.40 510.40 530.40 510.40 500.40 480.40 500.40 510.40 490.40 490.40 49
v100.40 380.40 390.40 440.40 500.40 510.40 510.40 530.40 510.40 500.40 480.40 500.40 510.40 490.40 490.40 49
v2v4820.40 380.40 390.40 440.40 500.40 510.40 510.40 530.40 510.40 500.40 480.40 500.40 510.40 490.40 490.40 49
V420.40 380.40 390.40 440.40 500.40 510.40 510.40 530.40 510.40 500.40 480.40 500.40 510.40 490.40 490.40 49
GA-MVS0.40 380.40 390.40 440.40 500.40 510.40 510.40 530.40 510.40 500.40 480.40 500.40 510.40 490.40 490.40 49
Fast-Effi-MVS+0.41 500.40 390.41 560.41 620.41 630.41 630.35 520.41 630.41 620.41 600.41 620.41 630.41 610.41 610.41 61
Fast-Effi-MVS+-dtu0.44 510.44 520.44 570.44 630.44 640.44 640.44 650.44 640.44 630.44 610.44 630.44 640.44 620.44 620.44 62
Effi-MVS+0.58 520.56 530.62 600.53 640.62 670.53 650.53 660.53 650.62 660.62 640.53 640.62 670.62 640.53 630.62 65
KD-MVS_self_test0.60 540.60 540.60 590.60 650.60 660.60 670.60 670.60 660.60 650.60 630.60 650.60 660.60 630.60 650.60 64
EIA-MVS0.62 550.62 560.62 600.62 660.62 670.62 680.62 680.62 670.62 660.62 640.62 660.62 670.62 640.62 660.62 65
ETV-MVS0.62 550.62 560.62 600.62 660.62 670.62 680.62 680.62 670.62 660.62 640.62 660.62 670.62 640.62 660.62 65
CS-MVS0.62 550.62 560.62 600.62 660.62 670.62 680.62 680.62 670.62 660.62 640.62 660.62 670.62 640.62 660.62 65
CS-MVS-test0.62 550.62 560.62 600.62 660.62 670.62 680.62 680.62 670.62 660.62 640.62 660.62 670.62 640.62 660.62 65
EC-MVSNet0.62 550.62 560.62 600.62 660.62 670.62 680.62 680.62 670.62 660.62 640.62 660.62 670.62 640.62 660.62 65
Effi-MVS+-dtu0.59 530.61 550.53 580.68 710.53 650.53 650.68 730.68 720.53 640.53 620.68 710.53 650.68 700.53 630.53 63
CDS-MVSNet0.88 600.88 610.88 660.88 720.88 730.88 730.88 740.88 730.88 720.88 700.88 720.88 730.88 710.88 710.88 71
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 600.88 610.88 660.88 720.88 730.88 730.88 740.88 730.88 720.88 700.88 720.88 730.88 710.88 710.88 71
LCM-MVSNet-Re0.89 620.89 630.89 680.89 740.89 750.89 750.89 760.89 750.89 740.89 720.89 740.89 750.89 730.89 730.89 73
DeepMVS_CXcopyleft1.00 691.00 751.00 761.00 771.00 761.00 751.00 731.00 751.00 761.00 741.00 741.00 74
MDA-MVSNet-bldmvs1.20 631.20 641.20 701.20 761.20 781.20 761.20 791.20 771.20 761.20 741.20 761.20 771.20 751.20 751.20 75
YYNet11.20 631.20 641.20 701.20 761.20 781.20 761.20 791.20 771.20 761.20 741.20 761.20 771.20 751.20 751.20 75
MDA-MVSNet_test_wron1.20 631.20 641.20 701.20 761.20 781.20 761.20 791.20 771.20 761.20 741.20 761.20 771.20 751.20 751.20 75
KD-MVS_2432*16001.30 661.30 671.30 731.30 791.30 811.30 791.30 821.30 801.30 791.30 771.30 791.30 801.30 781.30 781.30 78
miper_refine_blended1.30 661.30 671.30 731.30 791.30 811.30 791.30 821.30 801.30 791.30 771.30 791.30 801.30 781.30 781.30 78
eth-test21.42 81
EI-MVSNet-UG-set1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
EI-MVSNet-Vis-set1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
EI-MVSNet1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
Regformer1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
CVMVSNet1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
EU-MVSNet1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
PS-CasMVS1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
UniMVSNet_NR-MVSNet1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
PEN-MVS1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
TransMVSNet (Re)1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
DTE-MVSNet1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
DU-MVS1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
UniMVSNet (Re)1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
CP-MVSNet1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
WR-MVS_H1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
WR-MVS1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
NR-MVSNet1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
Baseline_NR-MVSNet1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
TranMVSNet+NR-MVSNet1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
MVSFormer1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
jason1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
jason: jason.
lupinMVS1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
test_djsdf1.42 681.42 691.42 751.42 811.42 831.42 811.42 841.42 821.42 811.42 791.42 811.42 821.42 801.42 801.42 80
alignmvs2.00 912.00 922.00 982.00 1052.00 1062.00 1042.00 1092.00 1052.00 1042.00 1022.00 1042.00 1052.00 1032.00 1032.00 103
nrg0302.00 912.00 922.00 982.00 1052.00 1062.00 1042.00 1092.00 1052.00 1042.00 1022.00 1042.00 1052.00 1032.00 1032.00 103
LFMVS2.00 912.00 922.00 982.00 1052.00 1062.00 1042.00 1092.00 1052.00 1042.00 1022.00 1042.00 1052.00 1032.00 1032.00 103
VDD-MVS2.00 912.00 922.00 982.00 1052.00 1062.00 1042.00 1092.00 1052.00 1042.00 1022.00 1042.00 1052.00 1032.00 1032.00 103
VDDNet2.00 912.00 922.00 982.00 1052.00 1062.00 1042.00 1092.00 1052.00 1042.00 1022.00 1042.00 1052.00 1032.00 1032.00 103
VPNet2.00 912.00 922.00 982.00 1052.00 1062.00 1042.00 1092.00 1052.00 1042.00 1022.00 1042.00 1052.00 1032.00 1032.00 103
VNet2.00 912.00 922.00 982.00 1052.00 1062.00 1042.00 1092.00 1052.00 1042.00 1022.00 1042.00 1052.00 1032.00 1032.00 103
VPA-MVSNet2.00 912.00 922.00 982.00 1052.00 1062.00 1042.00 1092.00 1052.00 1042.00 1022.00 1042.00 1052.00 1032.00 1032.00 103
cascas2.00 912.00 922.00 982.00 1052.00 1062.00 1042.00 1092.00 1052.00 1042.00 1022.00 1042.00 1052.00 1032.00 1032.00 103
UnsupCasMVSNet_eth5.90 1005.90 1015.90 1075.90 1145.90 1155.90 1145.90 1215.90 1155.90 1135.90 1115.90 1155.90 1145.90 1125.90 1155.90 115
UnsupCasMVSNet_bld5.90 1005.90 1015.90 1075.90 1145.90 1155.90 1145.90 1215.90 1155.90 1135.90 1115.90 1155.90 1145.90 1125.90 1155.90 115
WTY-MVS5.90 1005.90 1015.90 1075.90 1145.90 1155.90 1145.90 1215.90 1155.90 1135.90 1115.90 1155.90 1145.90 1125.90 1155.90 115
HY-MVS5.90 15.90 1005.90 1015.90 1075.90 1145.90 1155.90 1145.90 1215.90 1155.90 1135.90 1115.90 1155.90 1145.90 1125.90 1155.90 115
sss5.90 1005.90 1015.90 1075.90 1145.90 1155.90 1145.90 1215.90 1155.90 1135.90 1115.90 1155.90 1145.90 1125.90 1155.90 115
Test_1112_low_res5.90 1005.90 1015.90 1075.90 1145.90 1155.90 1145.90 1215.90 1155.90 1135.90 1115.90 1155.90 1145.90 1125.90 1155.90 115
1112_ss5.90 1005.90 1015.90 1075.90 1145.90 1155.90 1145.90 1215.90 1155.90 1135.90 1115.90 1155.90 1145.90 1125.90 1155.90 115
ab-mvs-re5.90 1005.90 1015.90 1075.90 1145.90 1155.90 1145.90 1215.90 1155.90 1135.90 1115.90 1155.90 1145.90 1125.90 1155.90 115
ab-mvs5.90 1005.90 1015.90 1075.90 1145.90 1155.90 1145.90 1215.90 1155.90 1135.90 1115.90 1155.90 1145.90 1125.90 1155.90 115
CDPH-MVS6.66 1096.66 1106.66 1166.66 1236.66 1246.66 1236.66 1306.66 1246.66 1226.66 1206.66 1246.66 1236.66 1216.66 1246.66 124
MDTV_nov1_ep139.99 1119.99 1249.99 1269.99 1249.99 1329.99 1259.99 1249.99 1219.99 1269.99 1259.99 1229.99 126
xiu_mvs_v1_base_debu10.28 11010.28 11210.28 11810.28 12510.28 12810.28 12610.28 13310.28 12710.28 12610.28 12210.28 12810.28 12610.28 12410.28 12710.28 126
xiu_mvs_v2_base10.28 11010.28 11210.28 11810.28 12510.28 12810.28 12610.28 13310.28 12710.28 12610.28 12210.28 12810.28 12610.28 12410.28 12710.28 126
xiu_mvs_v1_base10.28 11010.28 11210.28 11810.28 12510.28 12810.28 12610.28 13310.28 12710.28 12610.28 12210.28 12810.28 12610.28 12410.28 12710.28 126
xiu_mvs_v1_base_debi10.28 11010.28 11210.28 11810.28 12510.28 12810.28 12610.28 13310.28 12710.28 12610.28 12210.28 12810.28 12610.28 12410.28 12710.28 126
cdsmvs_eth3d_5k10.28 11010.28 11210.28 11810.28 12510.28 12810.28 12610.28 13310.28 12710.28 12610.28 12210.28 12810.28 12610.28 12410.28 12710.28 126
pcd_1.5k_mvsjas10.28 11010.28 11210.28 11810.28 12510.28 12810.28 12610.28 13310.28 12710.28 12610.28 12210.28 12810.28 12610.28 12410.28 12710.28 126
PS-MVSNAJss10.28 11010.28 11210.28 11810.28 12510.28 12810.28 12610.28 13310.28 12710.28 12610.28 12210.28 12810.28 12610.28 12410.28 12710.28 126
PS-MVSNAJ10.28 11010.28 11210.28 11810.28 12510.28 12810.28 12610.28 13310.28 12710.28 12610.28 12210.28 12810.28 12610.28 12410.28 12710.28 126
jajsoiax10.28 11010.28 11210.28 11810.28 12510.28 12810.28 12610.28 13310.28 12710.28 12610.28 12210.28 12810.28 12610.28 12410.28 12710.28 126
mvs_tets10.28 11010.28 11210.28 11810.28 12510.28 12810.28 12610.28 13310.28 12710.28 12610.28 12210.28 12810.28 12610.28 12410.28 12710.28 126
dp87.20 129113.80 1337.42 11710.50 1358.88 125298.82 1512.70 118510.35 1687.79 123172.93 1443.37 1139.16 12414.00 1353.71 1134.23 113
SR-MVS-dyc-post11.55 12011.55 12211.55 13011.55 13611.55 13911.55 13611.55 14511.55 13711.55 13711.55 13211.55 13911.55 13611.55 13411.55 13711.55 136
test_method18.29 12220.89 12410.50 12815.00 13713.00 14055.00 1433.00 11934.00 14011.50 13632.50 1345.00 11413.50 13727.00 1385.00 1145.00 114
XXY-MVS15.00 12115.00 12315.00 13115.00 13715.00 14115.00 13715.00 14715.00 13815.00 13915.00 13315.00 14315.00 13815.00 13615.00 13915.00 138
GeoE19.41 12322.09 12511.37 12917.21 13911.30 13850.50 1424.30 12033.60 13911.70 13844.50 1397.30 12518.90 13922.60 1377.10 1253.90 112
BH-w/o40.00 12440.00 12640.00 13340.00 14040.00 14240.00 13840.00 16440.00 14140.00 14140.00 13540.00 16040.00 14140.00 13940.00 15340.00 149
BH-untuned40.00 12440.00 12640.00 13340.00 14040.00 14240.00 13840.00 16440.00 14140.00 14140.00 13540.00 16040.00 14140.00 13940.00 15340.00 149
BH-RMVSNet40.00 12440.00 12640.00 13340.00 14040.00 14240.00 13840.00 16440.00 14140.00 14140.00 13540.00 16040.00 14140.00 13940.00 15340.00 149
TR-MVS40.00 12440.00 12640.00 13340.00 14040.00 14240.00 13840.00 16440.00 14140.00 14140.00 13540.00 16040.00 14140.00 13940.00 15340.00 149
GBi-Net44.67 12849.24 13030.96 13247.53 14447.57 146126.09 1448.00 13176.99 14526.09 14073.50 14111.27 13830.55 14061.12 14312.58 13814.75 137
MTAPA833442.10 2651111233.77 27167.09 13965.59 14564.81 149284.50 14810000000.00 304219.97 15159.62 147229.89 15512.72 140103.00 160203.67 16127.93 14033.46 139
MP-MVS-pluss833433.63 2641111219.60 27075.70 14374.28 14673.29 150284.50 14811.35 143238.58 15265.86 148255.35 16014.55 141115.69 16210000000.00 29831.94 14138.12 147
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 135133.18 13775.70 14374.28 14673.29 150284.50 14811.35 143238.58 15265.86 148255.35 16014.55 141115.69 162222.18 16231.94 14138.12 147
CANet110.62 132124.04 13470.34 14082.03 14874.27 152325.54 15225.25 150207.16 14869.28 150194.38 14527.53 14695.79 154147.76 14837.43 14340.97 153
CANet_DTU110.62 132124.04 13470.34 14082.03 14874.27 152325.54 15225.25 150207.16 14869.28 150194.38 14527.53 14695.79 154147.76 14837.43 14340.97 153
UGNet110.62 132124.04 13470.34 14082.03 14874.27 152325.54 15225.25 150207.16 14869.28 150194.38 14527.53 14695.79 154147.76 14837.43 14340.97 153
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 13098.62 13156.70 13798.14 15156.07 147246.79 14615.37 148148.06 14650.77 145143.13 14223.35 14462.65 14593.26 14468.71 16151.38 159
N_pmnet88.14 13098.62 13156.70 13798.14 15156.07 147246.79 14615.37 148148.06 14650.77 145143.13 14223.35 14462.65 14593.26 14468.71 16151.38 159
DSMNet-mixed131.33 143143.00 14596.33 15599.00 15381.00 155201.00 14545.00 169335.00 16499.00 163251.00 15938.00 159110.00 161120.00 14799.00 16698.00 163
FMVSNet5124.76 136140.93 13876.26 145107.44 154100.17 159329.88 15527.12 156259.44 15774.30 153204.34 14830.74 14992.41 147196.98 15138.15 14636.19 140
test1124.76 136140.93 13876.26 145107.44 154100.17 159329.88 15527.12 156259.44 15774.30 153204.34 14830.74 14992.41 147196.98 15138.15 14636.19 140
FMVSNet3124.76 136140.93 13876.26 145107.44 154100.17 159329.88 15527.12 156259.44 15774.30 153204.34 14830.74 14992.41 147196.98 15138.15 14636.19 140
FMVSNet2124.76 136140.93 13876.26 145107.44 154100.17 159329.88 15527.12 156259.44 15774.30 153204.34 14830.74 14992.41 147196.98 15138.15 14636.19 140
FMVSNet1124.76 136140.93 13876.26 145107.44 154100.17 159329.88 15527.12 156259.44 15774.30 153204.34 14830.74 14992.41 147196.98 15138.15 14636.19 140
MIMVSNet1124.76 136140.93 13876.26 145107.44 154100.17 159329.88 15527.12 156259.44 15774.30 153204.34 14830.74 14992.41 147196.98 15138.15 14636.19 140
MIMVSNet124.76 136140.93 13876.26 145107.44 154100.17 159329.88 15527.12 156259.44 15774.30 153204.34 14830.74 14992.41 147196.98 15138.15 14636.19 140
PVSNet_Blended_VisFu136.90 144155.40 14681.40 152111.00 16196.20 156407.00 16225.90 153251.60 15485.10 160240.50 15637.00 15699.90 157199.80 15840.70 15748.10 156
PVSNet_BlendedMVS136.90 144155.40 14681.40 152111.00 16196.20 156407.00 16225.90 153251.60 15485.10 160240.50 15637.00 15699.90 157199.80 15840.70 15748.10 156
PVSNet_Blended136.90 144155.40 14681.40 152111.00 16196.20 156407.00 16225.90 153251.60 15485.10 160240.50 15637.00 15699.90 157199.80 15840.70 15748.10 156
FE-MVS207.10 147234.26 149125.61 156180.34 164153.23 166635.64 16930.05 163378.38 165127.68 164377.08 16248.95 164154.43 164266.67 16363.56 16069.18 161
DP-MVS264.78 149296.02 151171.04 158191.70 165183.96 167827.10 17578.36 172438.24 166176.64 166435.12 16365.04 167230.52 168334.02 165117.96 17098.64 164
tmp_tt371.08 153412.78 154246.00 163231.00 166197.00 1691293.00 192376.00 229756.00 182609.00 20771.00 140106.00 179195.00 165102.00 146171.00 179346.00 203
FA-MVS(test-final)261.15 148293.29 150164.72 157236.23 167199.99 170800.05 17442.35 168475.87 167155.47 165470.67 16458.49 165205.24 166319.44 16481.03 16388.93 162
WB-MVS316.44 150357.41 152193.51 160257.06 168213.32 172914.45 17649.03 170600.77 174186.42 168634.00 17375.03 170251.35 170411.39 16788.55 164115.87 165
SSC-MVS320.23 151364.09 153188.66 159260.78 169193.84 168975.93 17973.11 171596.72 173185.29 167589.02 17074.47 169246.01 169427.42 16994.06 165126.12 166
EG-PatchMatch MVS437.03 157493.12 161268.77 166264.80 170260.20 1761491.80 19598.00 182723.20 179238.80 170722.40 17563.10 166382.00 177629.00 182207.00 186164.10 174
RPSCF394.81 155445.63 157242.35 162276.55 171253.63 1741207.27 18990.69 177715.56 177241.57 171684.87 174111.96 180320.02 171548.38 178133.81 171153.39 171
Syy-MVS370.76 152415.60 155236.25 161310.54 172210.76 171965.13 17798.58 183746.06 180266.26 172788.85 17891.37 173364.76 173357.17 166116.42 168133.22 167
myMVS_eth3d390.90 154437.44 156251.28 164310.54 172255.86 175965.13 17798.58 183746.06 180266.26 172788.85 178154.95 185364.76 173490.19 171116.42 168133.22 167
testing3418.10 156469.06 158265.23 165335.69 174290.63 1771240.88 19093.72 178717.99 178215.31 169811.97 184232.41 212358.74 172458.67 170114.88 167146.32 169
DELS-MVS514.57 164587.73 167295.12 169343.03 175328.09 1801540.48 197116.22 190988.59 188325.44 180906.22 186119.86 182365.72 175788.60 191161.09 176191.55 179
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 165581.17 166321.48 172361.02 176429.00 1881995.36 20178.48 173796.20 183283.32 176796.02 18096.78 174382.98 178636.72 184186.66 183152.46 170
ACMH+729.97 2661.38 171754.00 174383.51 176368.96 177376.38 1832483.74 21482.42 1741089.25 197333.39 1811219.68 20166.53 168573.60 199957.86 197184.14 182200.56 180
MVP-Stereo473.58 160533.67 162293.33 167376.00 178318.00 1781461.00 19396.00 179835.00 184290.00 177804.00 18197.00 175383.00 179688.00 189156.00 172179.00 176
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 160533.67 162293.33 167376.00 178318.00 1781461.00 19396.00 179835.00 184290.00 177804.00 18197.00 175383.00 179688.00 189156.00 172179.00 176
tpmvs501.65 163567.42 165304.33 170395.39 180356.32 1811512.04 196216.53 216994.15 189350.16 182804.16 183119.38 181380.98 176555.14 179159.87 175175.69 175
PatchmatchNetpermissive492.52 162551.22 164316.40 171400.20 181357.90 1821277.10 191115.80 1891034.60 196315.90 179874.00 185155.10 186402.20 181629.50 183158.80 174189.10 178
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PMVScopyleft863.65 3957.08 1901054.11 199666.00 205401.00 182495.00 1913790.00 222279.00 2181607.00 217521.00 1991745.00 21790.00 1711105.00 228639.00 185415.00 213398.00 210
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
CSCG826.03 185963.29 190414.24 178421.52 183426.11 1872230.35 202179.52 2121827.44 219733.43 218933.12 188281.25 214545.23 1901800.35 226262.64 200271.38 191
IB-MVS872.44 4616.41 170700.96 173362.78 175426.10 184409.25 1861822.69 198124.42 1991186.23 199366.85 1841079.42 198190.60 200451.78 184930.72 196181.59 181227.30 182
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 158482.84 159324.79 173434.94 185387.73 1841110.57 18787.69 175887.02 186282.92 174779.29 17698.57 177422.76 182502.40 172162.19 177163.87 172
ADS-MVSNet443.33 158482.84 159324.79 173434.94 185387.73 1841110.57 18787.69 175887.02 186282.92 174779.29 17698.57 177422.76 182502.40 172162.19 177163.87 172
ACMH993.80 5967.92 1911106.11 201553.33 193494.00 187534.00 1933581.00 220136.00 2011585.00 216478.00 1961871.00 21990.00 171839.00 2111460.00 220260.00 199287.00 194
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
IterMVS615.05 169691.66 172385.23 177516.40 188454.80 1891863.80 199102.10 1861142.20 198364.10 1831093.20 200135.00 183480.40 185826.90 192181.20 180220.50 181
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
ACMM1311.08 81165.06 2031332.72 206662.07 204584.90 189715.99 2164373.59 227153.99 2091880.27 221709.02 2152316.97 223188.63 199939.89 2161484.30 221302.78 207330.34 200
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
new-patchmatchnet766.12 174859.03 179487.38 190595.68 190536.14 1942346.27 204142.51 2041488.08 206422.43 1851361.32 205163.65 189628.60 2041003.74 206207.61 187297.41 196
ACMP1246.57 71086.24 1991235.17 203639.45 200596.53 191639.91 2113904.24 223152.04 2071851.54 220566.58 2051997.95 221138.50 184938.30 2151605.46 222303.70 208340.14 201
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
SixPastTwentyTwo773.62 175869.37 181486.35 189603.45 192547.15 2032532.14 215106.92 1881434.95 205428.08 1861360.56 204165.15 190628.96 205984.09 198209.01 188282.94 193
IterMVS-LS758.94 173856.56 178466.10 187606.60 193546.80 2022309.90 203122.20 1981402.80 204463.50 1881348.20 203192.60 201574.60 2001028.60 207234.60 198276.90 192
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
MG-MVS1256.50 2051432.00 208730.00 209610.00 194760.00 2184720.00 228169.00 2101920.00 222723.00 2172510.00 229201.00 2041050.00 2261645.00 224390.00 212380.00 207
RE-MVS-def610.10 169610.10 195610.10 209610.10 167610.10 261610.10 175610.10 208610.10 171610.10 244610.10 180610.10 217610.10 215
SR-MVS610.10 167610.10 169610.10 199610.10 195610.10 209610.10 167610.10 261610.10 175610.10 208610.10 171610.10 244610.10 202610.10 180610.10 217610.10 215
GG-mvs-BLEND596.01 197611.29 197600.33 206790.30 171513.12 252552.71 201567.40 165662.54 256531.67 186503.93 174779.80 234656.02 218
gm-plane-assit611.29 197600.33 206579.21 169567.40 165531.67 186503.93 174
CR-MVSNet612.36 168617.81 171596.01 197611.29 197600.33 206790.30 171513.12 252579.21 169552.71 201567.40 165662.54 256531.67 186503.93 174779.80 234656.02 218
Gipumacopyleft689.75 172767.00 175458.00 186613.00 200549.00 2041943.00 200187.00 2131230.00 200518.00 1981092.00 199203.00 206564.00 191892.00 195225.00 196261.00 190
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
gg-mvs-nofinetune594.69 166605.37 168562.67 194617.29 201500.33 192772.30 170413.12 237579.21 169552.71 201567.40 165662.54 256531.67 186503.93 174779.80 234656.02 218
mvs_anonymous774.90 176882.28 182452.77 179636.50 202537.20 1952348.80 205120.30 1911504.30 207474.40 1891371.10 206186.90 192564.70 1921078.90 209219.30 189256.40 183
casdiffmvspermissive774.90 176882.28 182452.77 179636.50 202537.20 1952348.80 205120.30 1911504.30 207474.40 1891371.10 206186.90 192564.70 1921078.90 209219.30 189256.40 183
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
diffmvspermissive774.90 176882.28 182452.77 179636.50 202537.20 1952348.80 205120.30 1911504.30 207474.40 1891371.10 206186.90 192564.70 1921078.90 209219.30 189256.40 183
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
baseline2774.90 176882.28 182452.77 179636.50 202537.20 1952348.80 205120.30 1911504.30 207474.40 1891371.10 206186.90 192564.70 1921078.90 209219.30 189256.40 183
baseline1774.90 176882.28 182452.77 179636.50 202537.20 1952348.80 205120.30 1911504.30 207474.40 1891371.10 206186.90 192564.70 1921078.90 209219.30 189256.40 183
casdiffmvs_mvgpermissive774.90 176882.28 182452.77 179636.50 202537.20 1952348.80 205120.30 1911504.30 207474.40 1891371.10 206186.90 192564.70 1921078.90 209219.30 189256.40 183
Fangjinhua Wang, Qingshan Xu, Yew-Soon Ong, Marc Pollefeys: Lightweight and Accurate Multi-View Stereo With Confidence-Aware Diffusion Model. IEEE T-PAMI 2025
baseline774.90 176882.28 182452.77 179636.50 202537.20 1952348.80 205120.30 1911504.30 207474.40 1891371.10 206186.90 192564.70 1921078.90 209219.30 189256.40 183
PVSNet1207.94 6829.56 186937.18 189506.69 191645.55 209585.72 2052477.98 213130.52 2001578.29 215509.50 1971460.01 213194.90 202637.19 2061170.78 217267.07 202297.17 195
FPMVS1407.00 2081495.59 2101141.23 222648.01 210893.85 2254124.00 224503.81 2513219.04 232742.72 2192498.84 228157.98 1871727.83 235832.93 193732.98 233802.00 227
lessismore_v0569.20 195667.25 211644.68 21296.45 181428.86 1871514.17 214204.21 207756.58 2081061.60 208197.79 185306.34 197
PVSNet_01661.03 9968.54 1921066.82 200673.70 206706.94 212695.69 2142669.02 218153.52 2082108.17 224605.54 2061679.14 216213.26 210886.75 2141236.76 219229.01 197438.67 211
MSLP-MVS++1242.93 2041411.08 207738.48 210712.71 213712.68 2154168.17 225136.50 2022276.40 226613.28 2102368.60 226161.61 1881130.38 2291964.54 229297.88 205372.39 206
MVSTER890.06 1891005.91 198542.52 192736.13 214653.90 2132616.56 217145.22 2061692.10 218555.69 2041554.72 215266.25 213660.02 2071219.66 218266.84 201313.64 199
MVS_111021_LR1136.45 2021298.72 205649.64 201756.17 215726.26 2173785.94 221138.15 2032190.64 225629.63 2112064.39 222165.45 191874.83 2131678.43 225279.70 203347.82 204
DeepC-MVS_fast2190.19 121535.59 2091886.82 213481.89 188847.73 216830.16 2227943.84 247189.23 2142398.83 227691.73 2142341.13 224209.16 208230.25 1671999.25 230360.46 210385.25 208
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 184835.64 177710.26 208885.90 217895.90 226455.98 165668.73 2661297.17 2011002.26 2301001.67 196655.98 254756.98 209667.90 186885.21 246477.90 212
RPMNet787.26 183829.13 176661.63 203885.90 217895.90 226455.98 165610.10 2611297.17 2011002.26 2301001.67 196655.98 254611.10 203667.90 186885.21 246477.90 212
ACMMPR1296.60 2061480.82 209743.96 211899.25 219763.47 2194305.47 226143.90 2052530.94 229683.99 2122346.34 225201.65 2051098.25 2271920.59 228295.21 204370.16 205
test_04021110.00 2011260.00 204660.00 202900.00 220780.00 2203300.00 219210.00 2152040.00 223690.00 2131950.00 220300.00 217810.00 2101620.00 223330.00 209390.00 209
TSAR-MVS + GP.1386.84 2071622.84 211678.81 207952.13 221840.17 2235358.21 231170.75 2112650.47 230713.54 2162394.28 227209.42 209855.56 2121854.36 227302.42 206340.71 202
ambc999.00 214999.00 222999.00 228999.00 180999.00 277999.00 223999.00 189999.00 269999.00 219999.00 199999.00 253999.00 250
OurMVSNet-221017-0999.00 193999.00 192999.00 214999.00 222999.00 228999.00 180999.00 277999.00 190999.00 223999.00 189999.00 269999.00 219999.00 199999.00 253999.00 250
EPMVS999.00 193999.00 192999.00 214999.00 222999.00 228999.00 180999.00 277999.00 190999.00 223999.00 189999.00 269999.00 219999.00 199999.00 253999.00 250
uanet_test1000.00 1951000.00 1941000.00 2171000.00 2251000.00 2311000.00 1831000.00 2801000.00 1921000.00 2261000.00 1921000.00 2721000.00 2221000.00 2021000.00 2561000.00 253
sosnet1000.00 1951000.00 1941000.00 2171000.00 2251000.00 2311000.00 1831000.00 2801000.00 1921000.00 2261000.00 1921000.00 2721000.00 2221000.00 2021000.00 2561000.00 253
USDC1000.00 1951000.00 1941000.00 2171000.00 2251000.00 2311000.00 1831000.00 2801000.00 1921000.00 2261000.00 1921000.00 2721000.00 2221000.00 2021000.00 2561000.00 253
TinyColmap1000.00 1951000.00 1941000.00 2171000.00 2251000.00 2311000.00 1831000.00 2801000.00 1921000.00 2261000.00 1921000.00 2721000.00 2221000.00 2021000.00 2561000.00 253
COLMAP_ROBcopyleft2144.59 111658.33 2101869.33 2121025.33 2211030.00 2291023.00 2355311.00 230359.00 2273044.00 231937.00 2222892.00 230332.00 2211440.00 2322312.00 232607.00 216613.00 217
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 2112113.11 2141173.33 2251231.00 2301174.00 2366297.00 233392.00 2323356.00 2341087.00 2323082.00 231361.00 2251670.00 2342523.00 234689.00 223676.00 222
OpenMVS_ROBcopyleft1936.51 101959.51 2122224.88 2161163.39 2241253.91 2311434.22 2397065.71 237272.76 2172472.29 2281647.54 2623538.72 234200.37 2031496.48 2332575.17 235997.45 252559.48 214
Patchmtry1090.75 2001198.88 202766.38 2121290.90 232485.90 1902423.98 2121267.30 2841297.17 201923.90 220923.40 1871215.54 277990.23 217667.90 186779.80 234823.02 232
PatchT856.34 187860.99 180842.38 2131290.90 232880.90 224790.30 1711267.30 284579.21 169923.90 220567.40 165662.54 256990.23 217887.56 194779.80 234656.02 218
K. test v3877.74 188980.16 191570.46 1961316.85 234813.15 2212565.52 216103.78 1871509.49 214548.33 2001258.90 202219.93 211587.82 2011102.37 216196.30 184310.42 198
PLCcopyleft2858.82 162192.92 2152474.00 2181349.67 2271407.00 2351356.00 2387164.00 238475.00 2443970.00 2381237.00 2393765.00 237451.00 2321891.00 2403006.00 238791.00 239802.00 227
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
CMPMVSbinary2623.62 151983.08 2132156.14 2151463.89 2351414.80 2361517.00 2415239.20 229867.40 2713310.30 2331128.70 2343489.90 233366.75 2262030.20 2462427.60 2331160.60 265844.46 235
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
ZD-MVS1584.00 2371821.00 261378.00 2303721.00 2361231.00 2371833.00 218321.00 2201224.00 2302103.00 231692.00 227
Vis-MVSNetpermissive2877.42 2283170.00 2311999.67 2501673.00 2382042.00 2678593.00 251474.00 2436452.00 2631268.00 2405125.00 251339.00 2223004.00 2644222.00 254384.00 211953.00 246
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
PCF-MVS4335.85 202272.23 2172597.03 2201297.84 2261701.20 2391332.37 2378105.11 248451.45 2404031.84 2391099.10 2333966.50 238467.45 2331734.05 2362701.68 237848.94 243827.11 233
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
test_0728_SECOND1451.45 2321725.60 2401598.35 2459203.30 254315.86 2212023.43 2433973.88 248620.04 219732.56 224
test07261725.60 2401598.35 2459203.30 254315.86 2215016.02 2501363.85 2424894.28 248387.23 227
SD-MVS2654.53 2243055.56 2291451.45 2321725.60 2401598.35 2459203.30 254315.86 2215016.02 2501363.85 2424894.28 248387.23 2272023.43 2433973.88 248620.04 219732.56 224
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 2212839.56 2241606.00 2361732.00 2431557.00 2438375.00 250483.00 2454370.00 2441371.00 2454200.00 239350.00 2232207.00 2473877.00 247798.00 2401054.00 257
LF4IMVS2699.50 2263049.67 2281649.00 2381755.00 2441689.00 2528330.00 249464.00 2424997.00 2491528.00 2484763.00 247568.00 2422296.00 2494215.00 253827.00 242962.00 247
DPM-MVS3268.00 2323762.89 2351783.33 2431756.00 2451806.00 25912319.00 270307.00 2196319.00 2611557.00 2535763.00 254302.00 2182609.00 2565061.00 259482.00 214935.00 244
OPM-MVS3268.00 2323762.89 2351783.33 2431756.00 2451806.00 25912319.00 270307.00 2196319.00 2611557.00 2535763.00 254302.00 2182609.00 2565061.00 259482.00 214935.00 244
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
OpenMVScopyleft2352.88 132263.08 2162530.89 2191459.67 2341767.00 2471591.00 2447932.00 246399.00 2333643.00 2351176.00 2353569.00 235297.00 2161927.00 2423302.00 240693.00 228861.00 236
tpmrst2557.50 2222847.12 2251688.66 2391784.08 2481778.25 2587445.50 244342.14 2244471.54 2451534.55 2494382.10 243530.10 2392361.21 2504142.81 251991.22 251926.51 242
AdaColmapbinary2570.77 2232948.61 2261437.24 2311873.64 2491526.60 2427819.77 245373.97 2284970.45 2481479.29 2474648.46 245525.80 2381904.97 2414150.42 252695.69 229880.14 240
SteuartSystems-ACMMP2891.50 2293284.78 2321711.67 2401954.00 2501655.00 25110117.00 267445.00 2395102.00 2531375.00 2465126.00 252351.00 2242638.00 2604402.00 255691.00 226842.00 234
Skip Steuart: Steuart Systems R&D Blog.
ITE_SJBPF2014.00 2511998.00 2511992.00 265701.00 2675989.00 2551812.00 2663612.00 236650.00 2502852.00 2634601.00 2571195.00 2661198.00 263
tpm23617.85 2364007.23 2382449.73 2572012.71 2521698.05 2537351.19 240869.29 2726132.06 2561588.28 2568007.42 2721281.09 2783888.11 2767472.04 2771351.00 2671763.02 273
tpm cat13617.85 2364007.23 2382449.73 2572012.71 2521698.05 2537351.19 240869.29 2726132.06 2561588.28 2568007.42 2721281.09 2783888.11 2767472.04 2771351.00 2671763.02 273
CostFormer3617.85 2364007.23 2382449.73 2572012.71 2521698.05 2537351.19 240869.29 2726132.06 2561588.28 2568007.42 2721281.09 2783888.11 2767472.04 2771351.00 2671763.02 273
tpm3617.85 2364007.23 2382449.73 2572012.71 2521698.05 2537351.19 240869.29 2726132.06 2561588.28 2568007.42 2721281.09 2783888.11 2767472.04 2771351.00 2671763.02 273
CHOSEN 280x4202340.81 2182643.03 2211434.14 2282025.55 2561629.36 2486542.40 234412.49 2344219.70 2411547.02 2504328.52 240650.74 2511798.26 2373333.17 241727.72 230874.79 237
CHOSEN 1792x26882340.81 2182643.03 2211434.14 2282025.55 2561629.36 2486542.40 234412.49 2344219.70 2411547.02 2504328.52 240650.74 2511798.26 2373333.17 241727.72 230874.79 237
HyFIR lowres test2340.81 2182643.03 2211434.14 2282025.55 2561629.36 2486542.40 234412.49 2344219.70 2411547.02 2504328.52 240650.74 2511798.26 2373333.17 241727.72 230874.79 237
DVP-MVS++3981.10 2424731.32 2471730.42 2412191.51 2591949.98 26316473.90 279355.33 2257172.90 2721622.98 2607879.79 270434.33 2302428.11 2525762.12 262689.04 224813.18 230
DVP-MVScopyleft3981.10 2424731.32 2471730.42 2412191.51 2591949.98 26316473.90 279355.33 2257172.90 2721622.98 2607879.79 270434.33 2302428.11 2525762.12 262689.04 224813.18 230
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
3Dnovator+3414.41 173146.67 2303537.00 2331975.67 2472310.00 2612005.00 26610100.00 266626.00 2645753.00 2541803.00 2655179.00 253487.00 2342622.00 2584550.00 2561025.00 2601300.00 264
TSAR-MVS + MP.3528.01 2354065.89 2421914.35 2462349.10 2622141.30 26812362.70 272417.60 2386717.80 2671759.40 2646497.50 257518.18 2372629.38 2595164.32 261806.40 241972.38 249
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 2253021.57 2271618.12 2372377.67 2631751.39 2578915.70 253567.44 2594569.74 2461236.84 2384615.63 244513.23 2362291.32 2483515.48 244882.39 245811.66 229
GST-MVS4000.00 2444533.33 2452400.00 2562400.00 2642400.00 2717200.00 2392400.00 2887200.00 2742400.00 2767200.00 2642400.00 2822400.00 2517200.00 2752400.00 2792400.00 278
MVS_111021_HR3742.80 2404330.34 2431980.20 2482484.31 2652259.52 27014973.80 277515.90 2586500.13 2641949.21 2676146.89 256535.66 2402593.66 2554880.76 258986.37 2501087.43 258
DeepC-MVS3917.13 193155.06 2313601.83 2341814.72 2452515.52 2661941.53 26210432.50 268589.42 2604789.45 2471298.65 2417677.31 269578.35 2432589.53 2543611.78 246923.52 248913.10 241
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 2343806.99 2372078.63 2522535.47 2672499.25 2778816.16 252456.05 2416255.60 2601664.52 2636704.88 259629.95 2492768.38 2616343.93 273856.35 244968.25 248
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
FOURS12643.17 2682465.14 27213996.40 274493.26 2467619.38 2752107.24 268
MSC_two_6792asdad2237.56 2532643.17 2682465.14 272493.26 2463088.29 2696075.14 2691078.39 2611159.26 259
No_MVS2237.56 2532643.17 2682465.14 272493.26 2463088.29 2696075.14 2691078.39 2611159.26 259
test_one_06012643.17 2682465.14 272493.26 2467619.38 2752107.24 2687416.93 266610.24 246
SED-MVS4062.74 2454671.13 2462237.56 2532643.17 2682465.14 27213996.40 274493.26 2467619.38 2752107.24 2687416.93 266610.24 2463088.29 2696075.14 2691078.39 2611159.26 259
IU-MVS2725.60 2732598.35 278515.86 2547016.02 2682363.85 2725973.88 2651620.04 2731732.56 269
OPU-MVS2451.45 2612725.60 2732598.35 2789203.30 2546894.28 260887.23 2643023.43 2655973.88 2651620.04 2731732.56 269
test_241102_ONE2725.60 2732598.35 278515.86 2547016.02 2682363.85 2726894.28 260887.23 2643023.43 265
MSP-MVS4296.20 2464911.12 2502451.45 2612725.60 2732598.35 27816203.30 278515.86 2547016.02 2682363.85 2726894.28 260887.23 2643023.43 2655973.88 2651620.04 2731732.56 269
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
MVS-HIRNet2125.39 2142452.68 2171143.53 2232938.33 2771446.92 2406083.19 232391.74 2313801.71 2371202.10 2363439.72 232492.73 2351304.35 2313048.25 239676.32 222679.32 223
EGC-MVSNET2819.75 2273096.89 2301988.33 2493105.00 2782241.00 2699480.00 258640.00 2654209.00 2401583.00 2554740.00 246547.00 2412797.00 2622644.00 236924.00 249927.00 243
MAR-MVS3973.16 2414387.92 2442728.86 2633345.27 2793341.39 28411403.90 269798.76 2696555.62 2662569.29 2776514.86 258834.97 2633237.43 2735891.08 2641577.54 2721607.76 265
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 2474906.56 2492803.67 2643844.00 2803116.00 28313454.00 273901.00 2766511.00 2652794.00 2787365.00 265754.00 2603634.00 2746622.00 2741914.00 2781661.00 268
CLD-MVS7338.25 2498341.00 2524330.00 2664902.00 2814991.00 28523318.00 282728.00 26814437.00 2894378.00 28113379.00 284824.00 2625708.00 28011429.00 2901674.00 2772291.00 277
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 2485748.82 2512842.58 2654905.27 2823101.27 28214933.60 276812.24 2709278.40 2792959.29 2798800.17 2761092.24 2763806.30 2757568.54 2811389.60 2711620.18 267
LS3D7684.71 2508776.23 2534410.16 2675298.55 2835631.53 28634329.90 2841504.57 28611554.00 2883896.41 28015111.00 285812.19 2615985.63 2813516.20 2452963.23 2801613.31 266
MVEpermissive10021.00 2210550.67 25810002.44 26112195.33 2766242.00 2848768.00 28830896.00 2834451.00 28910331.00 2876247.00 28218296.00 286283.00 21521484.00 2907364.00 2765912.00 2826334.00 280
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 25911772.44 2627637.33 2689120.00 2858206.00 28722252.00 2812010.00 28724984.00 2907458.00 28322596.00 2872940.00 28310260.00 28911100.00 2893492.00 2814446.00 279
ZNCC-MVS9999.00 2519999.00 2549999.00 2699999.00 2869999.00 2899999.00 2599999.00 2929999.00 2809999.00 2849999.00 2779999.00 2859999.00 2829999.00 2829999.00 2839999.00 281
patch_mono-210000.00 25210000.00 25510000.00 27010000.00 28710000.00 29010000.00 26010000.00 29310000.00 28110000.00 28510000.00 27810000.00 28610000.00 28310000.00 28310000.00 28410000.00 282
dcpmvs_210000.00 25210000.00 25510000.00 27010000.00 28710000.00 29010000.00 26010000.00 29310000.00 28110000.00 28510000.00 27810000.00 28610000.00 28310000.00 28310000.00 28410000.00 282
DCPMVS10000.00 25210000.00 25510000.00 27010000.00 28710000.00 29010000.00 26010000.00 29310000.00 28110000.00 28510000.00 27810000.00 28610000.00 28310000.00 28310000.00 28410000.00 282
UA-Net10000.00 25210000.00 25510000.00 27010000.00 28710000.00 29010000.00 26010000.00 29310000.00 28110000.00 28510000.00 27810000.00 28610000.00 28310000.00 28310000.00 28410000.00 282
uncertanet10000.00 25210000.00 25510000.00 27010000.00 28710000.00 29010000.00 26010000.00 29310000.00 28110000.00 28510000.00 27810000.00 28610000.00 28310000.00 28310000.00 28410000.00 282
uanet10000.00 25210000.00 25510000.00 27010000.00 28710000.00 29010000.00 26010000.00 29310000.00 28110000.00 28510000.00 27810000.00 28610000.00 28310000.00 28310000.00 28410000.00 282
LTVRE_ROB20565.47 2323378.08 26022805.00 26325097.33 27715500.00 29319201.00 29642712.00 2856055.00 29038388.00 29116926.00 29138534.00 2887071.00 28435653.00 29129475.00 29110584.00 29020438.00 289
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 26134443.44 26427094.33 27829249.00 29425246.00 29751144.00 2866705.00 29142886.00 29222888.00 29248534.00 28913263.00 29237507.00 29279298.00 29216024.00 29118530.00 288
114514_t99999.00 26299999.00 26599999.00 27999999.00 29599999.00 29899999.00 28799999.00 29999999.00 29399999.00 29399999.00 29099999.00 29399999.00 29399999.00 29399999.00 29299999.00 290
PHI-MVS99999.00 26299999.00 26599999.00 27999999.00 29599999.00 29899999.00 28799999.00 29999999.00 29399999.00 29399999.00 29099999.00 29399999.00 29399999.00 29399999.00 29299999.00 290
XVG-OURS-SEG-HR999999.00 266999999.00 267999999.00 281999999.00 297999999.00 300999999.00 289999999.00 301999999.00 295999999.00 295999999.00 292999999.00 295999999.00 295999999.00 295999999.00 294999999.00 292
XVG-OURS999999.00 266999999.00 267999999.00 281999999.00 297999999.00 300999999.00 289999999.00 301999999.00 295999999.00 295999999.00 292999999.00 295999999.00 295999999.00 295999999.00 294999999.00 292
XVG-ACMP-BASELINE999999.00 266999999.00 267999999.00 281999999.00 297999999.00 300999999.00 289999999.00 301999999.00 295999999.00 295999999.00 292999999.00 295999999.00 295999999.00 295999999.00 294999999.00 292
dmvs_re10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
SDMVSNet10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
dmvs_testset10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
sd_testset10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
iter_conf_final10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
bld_raw_dy_0_6410000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
test250610000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
test111110000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
ECVR-MVScopyleft10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
test_blank10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
tt080510000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
eth-test10000000.00 300
Anonymous2024052110000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
cl2210000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
miper_ehance_all_eth10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
miper_enhance_ethall10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
cl____10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
DIV-MVS_self_test10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
eth_miper_zixun_eth10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
ET-MVSNet_ETH3D10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
UniMVSNet_ETH3D10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
miper_lstm_enhance10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
D2MVS10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
test_yl10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
thisisatest053010000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
Anonymous2024052910000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
Anonymous20240521110000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
DCV-MVSNet10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
tttt051710000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
our_test_310000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
thisisatest051510000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
ppachtmachnet_test10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
SMA-MVScopyleft10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
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 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part210000000.00 30010000000.00 30310000000.00 298
thres100view90010000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
tfpnnormal10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
tfpn200view910000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
c3_l10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
IterMVS-SCA-FT10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
pmmvs610000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
pmmvs510000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
Anonymous2023121110000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
pmmvs-eth3d10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
Anonymous2023120610000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
SCA10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
Patchmatch-test10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
Patchmatch-RL test10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
canonicalmvs10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
anonymousdsp10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
FIs10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
FC-MVSNet-test10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
sosnet-low-res10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
AllTest10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
TestCases10000000.00 28410000000.00 30010000000.00 30310000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
iter_conf0510000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
RRT_MVS10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
HPM-MVS++copyleft10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
XVS10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
pm-mvs110000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
X-MVStestdata10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
APDe-MVScopyleft10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
pmmvs410000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
test-LLR10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
TESTMET0.1,110000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
test-mter10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
testgi10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
test20.0310000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
thres600view710000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
MP-MVScopyleft10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
thres40010000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
test12310000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
thres20010000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
test0.0.03 110000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
pmmvs310000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
EMVS10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
E-PMN10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
PGM-MVS10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
MCST-MVS10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
MVS_Test10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
PMMVS210000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
PM-MVS10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
HQP_MVS10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
plane_prior710000000.00 30010000000.00 303
plane_prior610000000.00 30010000000.00 30310000000.00 298
plane_prior110000000.00 300
mPP-MVS10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
mvsmamba10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
HPM-MVS_fast10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
HPM-MVScopyleft10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
LGP-MVS_train10000000.00 28410000000.00 30010000000.00 30310000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
EPNet_dtu10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP-NCC10000000.00 30010000000.00 29210000000.00 29810000000.00 298
ACMP_Plane10000000.00 30010000000.00 29210000000.00 29810000000.00 298
CNVR-MVS10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
NCCC10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
CP-MVS10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
NP-MVS10000000.00 30010000000.00 30310000000.00 295
CPTT-MVS10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
HQP-MVS10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
IS-MVSNet10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
PAPM_NR10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
PAPR10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
Vis-MVSNet (Re-imp)10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
PatchMatch-RL10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
TDRefinement10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
EPP-MVSNet10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
PMMVS10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
PAPM10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
ACMMPcopyleft10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
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 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
wuyk23d10000000.00 26910000000.00 27210000000.00 28410000000.00 30010000000.00 30310000000.00 29210000000.00 30410000000.00 29810000000.00 29810000000.00 29510000000.00 29810000000.00 29810000000.00 29810000000.00 29710000000.00 295
APD-MVScopyleft1000000000.00 3751000000000.00 3781000000000.00 3921000000000.00 4161000000000.00 4171000000000.00 4031000000000.00 4171000000000.00 4101000000000.00 4111000000000.00 4081000000000.00 4131000000000.00 4111000000000.00 4101000000000.00 4091000000000.00 407
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
MM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
WAC-MVS248.46 173422.23 168
PC_three_14527619.38 2752107.24 2687416.93 266610.24 2463088.29 2696075.14 2691078.39 2611159.26 259
test_241102_TWO515.86 2547016.02 2682363.85 2726894.28 260887.23 2643023.43 2655973.88 2651620.04 2731732.56 269
test_0728_THIRD5016.02 2501363.85 2424894.28 248387.23 2272023.43 2433973.88 248620.04 219732.56 224
GSMVS10000000.00 295
sam_mvs110000000.00 29810000000.00 295
sam_mvs10000000.00 298
MTGPAbinary10000000.00 304
test_post110000000.00 29210000000.00 29510000000.00 29810000000.00 29810000000.00 298
test_post10000000.00 29510000000.00 29810000000.00 298
patchmatchnet-post10000000.00 29510000000.00 29810000000.00 298
MTMP10000000.00 29210000000.00 304
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 30410000000.00 29810000000.00 29810000000.00 29710000000.00 295
plane_prior410000000.00 295
plane_prior310000000.00 30310000000.00 29810000000.00 298
plane_prior210000000.00 29210000000.00 298
plane_prior1.00 762.00 1042.00 1052.00 103
n214.20 146
nn1.42 84
door-mid1.42 84
test111.00 77
door99.00 185
HQP5-MVS10000000.00 303
BP-MVS10000000.00 298
HQP4-MVS10000000.00 29810000000.00 29810000000.00 295
HQP3-MVS10000000.00 30410000000.00 297
HQP2-MVS10000000.00 298
MDTV_nov1_ep13_2view9.99 1269.99 1249.99 1259.99 1249.99 1269.99 1229.99 125
ACMMP++_ref10000000.00 297
ACMMP++10000000.00 297
Test By Simon990.00 268