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
viewdifsd2359ckpt070.00 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
viewdifsd2359ckpt130.00 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
viewcassd2359sk110.00 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
viewdifsd2359ckpt110.00 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
viewmacassd2359aftdt0.00 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
viewmsd2359difaftdt0.00 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
diffmvs_AUTHOR0.00 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
FE-MVSNET0.00 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_l_conf0.5_n_90.00 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
viewmambaseed2359dif0.00 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
viewmanbaseed2359cas0.00 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_90.00 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_80.00 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_70.00 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_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
fmvsm_s_conf0.5_n_50.00 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_40.00 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_l_conf0.5_n_30.00 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_30.00 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_20.00 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_n_20.00 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_l_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_l_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
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
MM0.00 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
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
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
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
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
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-mvs330.30 570.30 580.30 620.30 690.30 690.30 690.30 700.30 690.30 680.30 660.30 680.30 690.30 670.30 670.30 67
hse-mvs20.30 570.30 580.30 620.30 690.30 690.30 690.30 700.30 690.30 680.30 660.30 680.30 690.30 670.30 670.30 67
CL-MVSNet_self_test0.30 570.30 580.30 620.30 690.30 690.30 690.30 700.30 690.30 680.30 660.30 680.30 690.30 670.30 670.30 67
AUN-MVS0.30 570.30 580.30 620.30 690.30 690.30 690.30 700.30 690.30 680.30 660.30 680.30 690.30 670.30 670.30 67
LCM-MVSNet0.37 610.36 620.37 660.37 730.37 730.37 730.32 740.37 730.37 720.37 700.37 720.37 730.37 710.37 710.37 71
v1441920.40 620.40 630.40 670.40 740.40 740.40 740.40 760.40 740.40 730.40 710.40 730.40 740.40 720.40 720.40 72
v19219200.40 620.40 630.40 670.40 740.40 740.40 740.40 760.40 740.40 730.40 710.40 730.40 740.40 720.40 720.40 72
v11920.40 620.40 630.40 670.40 740.40 740.40 740.40 760.40 740.40 730.40 710.40 730.40 740.40 720.40 720.40 72
v11440.40 620.40 630.40 670.40 740.40 740.40 740.40 760.40 740.40 730.40 710.40 730.40 740.40 720.40 720.40 72
v1480.40 620.40 630.40 670.40 740.40 740.40 740.40 760.40 740.40 730.40 710.40 730.40 740.40 720.40 720.40 72
v7n0.40 620.40 630.40 670.40 740.40 740.40 740.40 760.40 740.40 730.40 710.40 730.40 740.40 720.40 720.40 72
v12400.40 620.40 630.40 670.40 740.40 740.40 740.40 760.40 740.40 730.40 710.40 730.40 740.40 720.40 720.40 72
v80.40 620.40 630.40 670.40 740.40 740.40 740.40 760.40 740.40 730.40 710.40 730.40 740.40 720.40 720.40 72
v100.40 620.40 630.40 670.40 740.40 740.40 740.40 760.40 740.40 730.40 710.40 730.40 740.40 720.40 720.40 72
v2v4820.40 620.40 630.40 670.40 740.40 740.40 740.40 760.40 740.40 730.40 710.40 730.40 740.40 720.40 720.40 72
V420.40 620.40 630.40 670.40 740.40 740.40 740.40 760.40 740.40 730.40 710.40 730.40 740.40 720.40 720.40 72
GA-MVS0.40 620.40 630.40 670.40 740.40 740.40 740.40 760.40 740.40 730.40 710.40 730.40 740.40 720.40 720.40 72
Fast-Effi-MVS+0.41 740.40 630.41 790.41 860.41 860.41 860.35 750.41 860.41 850.41 830.41 850.41 860.41 840.41 840.41 84
Fast-Effi-MVS+-dtu0.44 750.44 760.44 800.44 870.44 870.44 870.44 880.44 870.44 860.44 840.44 860.44 870.44 850.44 850.44 85
Effi-MVS+0.58 760.56 770.62 830.53 880.62 900.53 880.53 890.53 880.62 890.62 870.53 870.62 900.62 870.53 860.62 88
Effi-MVS+-dtu0.59 770.61 790.53 810.68 950.53 880.53 880.68 960.68 950.53 870.53 850.68 940.53 880.68 930.53 860.53 86
KD-MVS_self_test0.60 780.60 780.60 820.60 890.60 890.60 900.60 900.60 890.60 880.60 860.60 880.60 890.60 860.60 880.60 87
EIA-MVS0.62 790.62 800.62 830.62 900.62 900.62 910.62 910.62 900.62 890.62 870.62 890.62 900.62 870.62 890.62 88
ETV-MVS0.62 790.62 800.62 830.62 900.62 900.62 910.62 910.62 900.62 890.62 870.62 890.62 900.62 870.62 890.62 88
CS-MVS0.62 790.62 800.62 830.62 900.62 900.62 910.62 910.62 900.62 890.62 870.62 890.62 900.62 870.62 890.62 88
SPE-MVS-test0.62 790.62 800.62 830.62 900.62 900.62 910.62 910.62 900.62 890.62 870.62 890.62 900.62 870.62 890.62 88
EC-MVSNet0.62 790.62 800.62 830.62 900.62 900.62 910.62 910.62 900.62 890.62 870.62 890.62 900.62 870.62 890.62 88
CDS-MVSNet0.88 840.88 850.88 890.88 960.88 960.88 960.88 970.88 960.88 950.88 930.88 950.88 960.88 940.88 940.88 94
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 840.88 850.88 890.88 960.88 960.88 960.88 970.88 960.88 950.88 930.88 950.88 960.88 940.88 940.88 94
LCM-MVSNet-Re0.89 860.89 870.89 910.89 980.89 980.89 980.89 990.89 980.89 970.89 950.89 970.89 980.89 960.89 960.89 96
MDA-MVSNet-bldmvs1.20 871.20 881.20 931.20 1001.20 1011.20 991.20 1021.20 1001.20 991.20 971.20 991.20 1001.20 981.20 981.20 98
YYNet11.20 871.20 881.20 931.20 1001.20 1011.20 991.20 1021.20 1001.20 991.20 971.20 991.20 1001.20 981.20 981.20 98
MDA-MVSNet_test_wron1.20 871.20 881.20 931.20 1001.20 1011.20 991.20 1021.20 1001.20 991.20 971.20 991.20 1001.20 981.20 981.20 98
KD-MVS_2432*16001.30 901.30 911.30 961.30 1031.30 1041.30 1021.30 1051.30 1031.30 1021.30 1001.30 1021.30 1031.30 1011.30 1011.30 101
miper_refine_blended1.30 901.30 911.30 961.30 1031.30 1041.30 1021.30 1051.30 1031.30 1021.30 1001.30 1021.30 1031.30 1011.30 1011.30 101
EI-MVSNet-UG-set1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
EI-MVSNet-Vis-set1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
EI-MVSNet1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
Regformer1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
CVMVSNet1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
EU-MVSNet1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
PS-CasMVS1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
UniMVSNet_NR-MVSNet1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
PEN-MVS1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
TransMVSNet (Re)1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
DTE-MVSNet1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
DU-MVS1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
UniMVSNet (Re)1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
CP-MVSNet1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
WR-MVS_H1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
WR-MVS1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
NR-MVSNet1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
Baseline_NR-MVSNet1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
TranMVSNet+NR-MVSNet1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
MVSFormer1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
jason1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
jason: jason.
lupinMVS1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
test_djsdf1.42 921.42 931.42 981.42 1051.42 1061.42 1041.42 1071.42 1051.42 1041.42 1021.42 1041.42 1051.42 1031.42 1031.42 103
reproduce_monomvs1.48 1151.48 1161.48 1211.48 1291.48 1291.48 1271.48 1321.48 1281.48 1271.48 1251.48 1271.48 1281.48 1261.48 1261.48 126
mmtdpeth1.48 1151.48 1161.48 1211.48 1291.48 1291.48 1271.48 1321.48 1281.48 1271.48 1251.48 1271.48 1281.48 1261.48 1261.48 126
reproduce_model1.48 1151.48 1161.48 1211.48 1291.48 1291.48 1271.48 1321.48 1281.48 1271.48 1251.48 1271.48 1281.48 1261.48 1261.48 126
reproduce-ours1.48 1151.48 1161.48 1211.48 1291.48 1291.48 1271.48 1321.48 1281.48 1271.48 1251.48 1271.48 1281.48 1261.48 1261.48 126
our_new_method1.48 1151.48 1161.48 1211.48 1291.48 1291.48 1271.48 1321.48 1281.48 1271.48 1251.48 1271.48 1281.48 1261.48 1261.48 126
mmdepth1.48 1151.48 1161.48 1211.48 1291.48 1291.48 1271.48 1321.48 1281.48 1271.48 1251.48 1271.48 1281.48 1261.48 1261.48 126
monomultidepth1.48 1151.48 1161.48 1211.48 1291.48 1291.48 1271.48 1321.48 1281.48 1271.48 1251.48 1271.48 1281.48 1261.48 1261.48 126
mvs5depth1.48 1151.48 1161.48 1211.48 1291.48 1291.48 1271.48 1321.48 1281.48 1271.48 1251.48 1271.48 1281.48 1261.48 1261.48 126
MVStest11.48 1151.48 1161.48 1211.48 1291.48 1291.48 1271.48 1321.48 1281.48 1271.48 1251.48 1271.48 1281.48 1261.48 1261.48 126
ttmdpeth1.48 1151.48 1161.48 1211.48 1291.48 1291.48 1271.48 1321.48 1281.48 1271.48 1251.48 1271.48 1281.48 1261.48 1261.48 126
alignmvs2.00 1252.00 1262.00 1312.00 1392.00 1392.00 1372.00 1422.00 1382.00 1372.00 1352.00 1372.00 1382.00 1362.00 1362.00 136
nrg0302.00 1252.00 1262.00 1312.00 1392.00 1392.00 1372.00 1422.00 1382.00 1372.00 1352.00 1372.00 1382.00 1362.00 1362.00 136
LFMVS2.00 1252.00 1262.00 1312.00 1392.00 1392.00 1372.00 1422.00 1382.00 1372.00 1352.00 1372.00 1382.00 1362.00 1362.00 136
VDD-MVS2.00 1252.00 1262.00 1312.00 1392.00 1392.00 1372.00 1422.00 1382.00 1372.00 1352.00 1372.00 1382.00 1362.00 1362.00 136
VDDNet2.00 1252.00 1262.00 1312.00 1392.00 1392.00 1372.00 1422.00 1382.00 1372.00 1352.00 1372.00 1382.00 1362.00 1362.00 136
VPNet2.00 1252.00 1262.00 1312.00 1392.00 1392.00 1372.00 1422.00 1382.00 1372.00 1352.00 1372.00 1382.00 1362.00 1362.00 136
VNet2.00 1252.00 1262.00 1312.00 1392.00 1392.00 1372.00 1422.00 1382.00 1372.00 1352.00 1372.00 1382.00 1362.00 1362.00 136
VPA-MVSNet2.00 1252.00 1262.00 1312.00 1392.00 1392.00 1372.00 1422.00 1382.00 1372.00 1352.00 1372.00 1382.00 1362.00 1362.00 136
cascas2.00 1252.00 1262.00 1312.00 1392.00 1392.00 1372.00 1422.00 1382.00 1372.00 1352.00 1372.00 1382.00 1362.00 1362.00 136
UnsupCasMVSNet_eth5.90 1345.90 1355.90 1405.90 1485.90 1485.90 1475.90 1545.90 1485.90 1465.90 1445.90 1485.90 1475.90 1455.90 1485.90 148
UnsupCasMVSNet_bld5.90 1345.90 1355.90 1405.90 1485.90 1485.90 1475.90 1545.90 1485.90 1465.90 1445.90 1485.90 1475.90 1455.90 1485.90 148
WTY-MVS5.90 1345.90 1355.90 1405.90 1485.90 1485.90 1475.90 1545.90 1485.90 1465.90 1445.90 1485.90 1475.90 1455.90 1485.90 148
HY-MVS5.90 15.90 1345.90 1355.90 1405.90 1485.90 1485.90 1475.90 1545.90 1485.90 1465.90 1445.90 1485.90 1475.90 1455.90 1485.90 148
sss5.90 1345.90 1355.90 1405.90 1485.90 1485.90 1475.90 1545.90 1485.90 1465.90 1445.90 1485.90 1475.90 1455.90 1485.90 148
Test_1112_low_res5.90 1345.90 1355.90 1405.90 1485.90 1485.90 1475.90 1545.90 1485.90 1465.90 1445.90 1485.90 1475.90 1455.90 1485.90 148
1112_ss5.90 1345.90 1355.90 1405.90 1485.90 1485.90 1475.90 1545.90 1485.90 1465.90 1445.90 1485.90 1475.90 1455.90 1485.90 148
ab-mvs-re5.90 1345.90 1355.90 1405.90 1485.90 1485.90 1475.90 1545.90 1485.90 1465.90 1445.90 1485.90 1475.90 1455.90 1485.90 148
ab-mvs5.90 1345.90 1355.90 1405.90 1485.90 1485.90 1475.90 1545.90 1485.90 1465.90 1445.90 1485.90 1475.90 1455.90 1485.90 148
CDPH-MVS6.66 1436.66 1446.66 1496.66 1576.66 1576.66 1566.66 1636.66 1576.66 1556.66 1536.66 1576.66 1566.66 1546.66 1576.66 157
xiu_mvs_v1_base_debu10.28 14410.28 14610.28 15110.28 15910.28 16110.28 15910.28 16610.28 16010.28 15910.28 15510.28 16110.28 15910.28 15710.28 16010.28 159
xiu_mvs_v2_base10.28 14410.28 14610.28 15110.28 15910.28 16110.28 15910.28 16610.28 16010.28 15910.28 15510.28 16110.28 15910.28 15710.28 16010.28 159
xiu_mvs_v1_base10.28 14410.28 14610.28 15110.28 15910.28 16110.28 15910.28 16610.28 16010.28 15910.28 15510.28 16110.28 15910.28 15710.28 16010.28 159
xiu_mvs_v1_base_debi10.28 14410.28 14610.28 15110.28 15910.28 16110.28 15910.28 16610.28 16010.28 15910.28 15510.28 16110.28 15910.28 15710.28 16010.28 159
cdsmvs_eth3d_5k10.28 14410.28 14610.28 15110.28 15910.28 16110.28 15910.28 16610.28 16010.28 15910.28 15510.28 16110.28 15910.28 15710.28 16010.28 159
pcd_1.5k_mvsjas10.28 14410.28 14610.28 15110.28 15910.28 16110.28 15910.28 16610.28 16010.28 15910.28 15510.28 16110.28 15910.28 15710.28 16010.28 159
PS-MVSNAJss10.28 14410.28 14610.28 15110.28 15910.28 16110.28 15910.28 16610.28 16010.28 15910.28 15510.28 16110.28 15910.28 15710.28 16010.28 159
PS-MVSNAJ10.28 14410.28 14610.28 15110.28 15910.28 16110.28 15910.28 16610.28 16010.28 15910.28 15510.28 16110.28 15910.28 15710.28 16010.28 159
jajsoiax10.28 14410.28 14610.28 15110.28 15910.28 16110.28 15910.28 16610.28 16010.28 15910.28 15510.28 16110.28 15910.28 15710.28 16010.28 159
mvs_tets10.28 14410.28 14610.28 15110.28 15910.28 16110.28 15910.28 16610.28 16010.28 15910.28 15510.28 16110.28 15910.28 15710.28 16010.28 159
SR-MVS-dyc-post11.55 15411.55 15611.55 16311.55 17011.55 17211.55 16911.55 17811.55 17011.55 17011.55 16511.55 17211.55 16911.55 16711.55 17011.55 169
XXY-MVS15.00 15515.00 15715.00 16415.00 17115.00 17415.00 17015.00 18015.00 17115.00 17215.00 16615.00 17615.00 17115.00 16915.00 17215.00 171
test_method18.29 15620.89 15810.50 16115.00 17113.00 17355.00 1763.00 15234.00 17311.50 16932.50 1675.00 14713.50 17027.00 1715.00 1475.00 147
GeoE19.41 15722.09 15911.37 16217.21 17311.30 17150.50 1754.30 15333.60 17211.70 17144.50 1727.30 15818.90 17222.60 1707.10 1583.90 145
BH-w/o40.00 15840.00 16040.00 16640.00 17440.00 17540.00 17140.00 19940.00 17440.00 17440.00 16840.00 19340.00 17440.00 17240.00 18640.00 182
BH-untuned40.00 15840.00 16040.00 16640.00 17440.00 17540.00 17140.00 19940.00 17440.00 17440.00 16840.00 19340.00 17440.00 17240.00 18640.00 182
BH-RMVSNet40.00 15840.00 16040.00 16640.00 17440.00 17540.00 17140.00 19940.00 17440.00 17440.00 16840.00 19340.00 17440.00 17240.00 18640.00 182
TR-MVS40.00 15840.00 16040.00 16640.00 17440.00 17540.00 17140.00 19940.00 17440.00 17440.00 16840.00 19340.00 17440.00 17240.00 18640.00 182
GBi-Net44.67 16249.24 16430.96 16547.53 17847.57 179126.09 1778.00 16476.99 17826.09 17373.50 17411.27 17130.55 17361.12 17612.58 17114.75 170
dp87.20 163113.80 1677.42 15010.50 1698.88 158298.82 1842.70 151510.35 2037.79 156172.93 1773.37 1469.16 15714.00 1683.71 1464.23 146
new_pmnet88.14 16498.62 16556.70 17098.14 18556.07 180246.79 17915.37 181148.06 17950.77 178143.13 17523.35 17762.65 17893.26 17768.71 19651.38 192
N_pmnet88.14 16498.62 16556.70 17098.14 18556.07 180246.79 17915.37 181148.06 17950.77 178143.13 17523.35 17762.65 17893.26 17768.71 19651.38 192
CANet110.62 166124.04 16870.34 17382.03 18274.27 185325.54 18525.25 184207.16 18169.28 183194.38 17827.53 17995.79 187147.76 18137.43 17640.97 186
CANet_DTU110.62 166124.04 16870.34 17382.03 18274.27 185325.54 18525.25 184207.16 18169.28 183194.38 17827.53 17995.79 187147.76 18137.43 17640.97 186
UGNet110.62 166124.04 16870.34 17382.03 18274.27 185325.54 18525.25 184207.16 18169.28 183194.38 17827.53 17995.79 187147.76 18137.43 17640.97 186
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
ACMMP_NAP118.81 169133.18 17175.70 17674.28 18073.29 183284.50 18111.35 176238.58 18565.86 181255.35 19314.55 174115.69 195222.18 19531.94 17438.12 180
FMVSNet5124.76 170140.93 17276.26 178107.44 188100.17 192329.88 18827.12 190259.44 19074.30 186204.34 18130.74 18292.41 180196.98 18438.15 17936.19 173
test1124.76 170140.93 17276.26 178107.44 188100.17 192329.88 18827.12 190259.44 19074.30 186204.34 18130.74 18292.41 180196.98 18438.15 17936.19 173
FMVSNet3124.76 170140.93 17276.26 178107.44 188100.17 192329.88 18827.12 190259.44 19074.30 186204.34 18130.74 18292.41 180196.98 18438.15 17936.19 173
FMVSNet2124.76 170140.93 17276.26 178107.44 188100.17 192329.88 18827.12 190259.44 19074.30 186204.34 18130.74 18292.41 180196.98 18438.15 17936.19 173
FMVSNet1124.76 170140.93 17276.26 178107.44 188100.17 192329.88 18827.12 190259.44 19074.30 186204.34 18130.74 18292.41 180196.98 18438.15 17936.19 173
MIMVSNet1124.76 170140.93 17276.26 178107.44 188100.17 192329.88 18827.12 190259.44 19074.30 186204.34 18130.74 18292.41 180196.98 18438.15 17936.19 173
MIMVSNet124.76 170140.93 17276.26 178107.44 188100.17 192329.88 18827.12 190259.44 19074.30 186204.34 18130.74 18292.41 180196.98 18438.15 17936.19 173
DSMNet-mixed131.33 177143.00 17996.33 18899.00 18781.00 188201.00 17845.00 204335.00 19799.00 196251.00 19238.00 192110.00 194120.00 18099.00 20298.00 198
PVSNet_Blended_VisFu136.90 178155.40 18081.40 185111.00 19596.20 189407.00 19525.90 187251.60 18785.10 193240.50 18937.00 18999.90 190199.80 19140.70 19048.10 189
PVSNet_BlendedMVS136.90 178155.40 18081.40 185111.00 19596.20 189407.00 19525.90 187251.60 18785.10 193240.50 18937.00 18999.90 190199.80 19140.70 19048.10 189
PVSNet_Blended136.90 178155.40 18081.40 185111.00 19596.20 189407.00 19525.90 187251.60 18785.10 193240.50 18937.00 18999.90 190199.80 19140.70 19048.10 189
BP-MVS1202.65 181232.15 183114.16 189183.40 199141.78 199655.87 20324.69 183372.56 198109.76 197356.89 19547.15 197139.51 197284.15 19754.86 19361.20 194
FE-MVS207.10 182234.26 184125.61 190180.34 198153.23 200635.64 20230.05 197378.38 199127.68 198377.08 19648.95 198154.43 198266.67 19663.56 19469.18 195
GDP-MVS219.79 183249.11 185131.85 191187.15 200155.97 201667.31 20430.57 198398.95 200131.26 199387.86 19758.83 200164.55 199315.00 19865.03 19575.04 196
FA-MVS(test-final)261.15 184293.29 186164.72 192236.23 203199.99 206800.05 21042.35 203475.87 202155.47 200470.67 19958.49 199205.24 201319.44 19981.03 19988.93 197
DP-MVS264.78 185296.02 187171.04 194191.70 201183.96 203827.10 21178.36 215438.24 201176.64 202435.12 19865.04 202230.52 204334.02 200117.96 21098.64 199
kuosan267.89 186301.05 188168.41 193244.05 204177.28 202667.98 20565.76 206533.41 204157.79 201492.01 200104.69 215226.72 202364.47 20279.31 198101.21 200
WB-MVS316.44 187357.41 189193.51 196257.06 205213.32 209914.45 21349.03 205600.77 210186.42 204634.00 21275.03 205251.35 206411.39 20388.55 200115.87 202
SSC-MVS320.23 188364.09 190188.66 195260.78 206193.84 204975.93 21973.11 211596.72 209185.29 203589.02 20674.47 204246.01 205427.42 20694.06 201126.12 203
UWE-MVS-28327.73 189369.67 191201.90 197281.09 212210.75 207832.98 21274.67 214680.98 217198.23 205613.42 209112.56 218259.80 207418.76 204114.35 204135.15 209
testing91347.05 190389.92 192218.43 199275.92 210241.43 211923.71 21571.70 207667.65 215217.04 209629.00 210113.33 219281.39 209495.50 209115.45 206132.47 206
testing11348.86 191393.09 193216.15 198275.24 209239.53 210915.55 21472.35 208679.89 216215.75 208633.79 211118.08 220276.62 208509.56 217117.61 209132.30 205
dongtai360.45 192401.64 194236.89 202303.10 213262.16 217963.12 21672.78 209622.82 213199.37 206708.06 215130.96 223310.90 212506.46 216108.11 203137.60 210
Syy-MVS370.76 193415.60 196236.25 201310.54 214210.76 208965.13 21798.58 230746.06 222266.26 216788.85 22291.37 209364.76 220357.17 201116.42 207133.22 207
tmp_tt371.08 194412.78 195246.00 205231.00 202197.00 2051293.00 238376.00 279756.00 224609.00 25771.00 173106.00 216195.00 200102.00 179171.00 227346.00 253
UWE-MVS387.98 195438.66 198235.93 200349.32 219257.61 2151081.50 22782.45 219637.74 214257.12 213738.54 217134.25 224308.00 210531.93 219135.11 213142.17 211
myMVS_eth3d390.90 196437.44 197251.28 207310.54 214255.86 214965.13 21798.58 230746.06 222266.26 216788.85 222154.95 231364.76 220490.19 208116.42 207133.22 207
RPSCF394.81 197445.63 199242.35 203276.55 211253.63 2131207.27 23590.69 224715.56 218241.57 212684.87 213111.96 217320.02 214548.38 221133.81 212153.39 215
WB-MVSnew404.84 198458.00 200245.36 204374.70 223320.27 2251193.74 23472.90 210773.77 225238.30 210688.22 21490.05 208308.59 211532.76 220157.54 221107.21 201
testing99408.82 199462.15 201248.86 206322.45 216269.42 2181118.93 23073.26 212719.36 220262.28 214772.10 219150.98 230327.08 215601.98 225137.99 214150.07 213
testing3418.10 200469.06 202265.23 210335.69 217290.63 2201240.88 23693.72 225717.99 219215.31 207811.97 228232.41 262358.74 218458.67 207114.88 205146.32 212
myMVS_eth3d28418.40 201473.07 203254.39 208261.18 207313.04 2211172.79 23374.16 213929.18 233264.68 215745.72 218139.03 228318.91 213549.18 222121.71 211131.21 204
testing222430.52 202487.50 206259.56 209379.87 227282.69 2191138.34 23181.30 217880.86 229281.58 219834.27 230135.83 226333.22 216514.90 218140.56 215162.76 216
EG-PatchMatch MVS437.03 203493.12 207268.77 211264.80 208260.20 2161491.80 24298.00 229723.20 221238.80 211722.40 21663.10 201382.00 224629.00 229207.00 236164.10 219
ADS-MVSNet2443.33 204482.84 204324.79 223434.94 236387.73 2341110.57 22887.69 221887.02 230282.92 220779.29 22098.57 213422.76 232502.40 210162.19 225163.87 217
ADS-MVSNet443.33 204482.84 204324.79 223434.94 236387.73 2341110.57 22887.69 221887.02 230282.92 220779.29 22098.57 213422.76 232502.40 210162.19 225163.87 217
ETVMVS443.50 206498.07 208279.78 212378.05 226321.57 2261163.68 23287.12 220897.50 232269.81 218822.83 229141.20 229334.53 217568.21 224154.21 216183.26 223
MVP-Stereo473.58 207533.67 209293.33 214376.00 224318.00 2221461.00 24096.00 226835.00 227290.00 223804.00 22597.00 211383.00 226688.00 237156.00 218179.00 221
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 207533.67 209293.33 214376.00 224318.00 2221461.00 24096.00 226835.00 227290.00 223804.00 22597.00 211383.00 226688.00 237156.00 218179.00 221
testing3-2489.51 209555.88 212290.42 213362.21 221319.27 2241424.84 23988.81 223964.80 234309.62 226879.13 232174.38 238363.98 219643.82 233155.29 217188.01 224
PatchmatchNetpermissive492.52 210551.22 211316.40 221400.20 232357.90 2321277.10 237115.80 2371034.60 243315.90 227874.00 231155.10 232402.20 229629.50 230158.80 222189.10 225
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmvs501.65 211567.42 213304.33 217395.39 231356.32 2311512.04 243216.53 266994.15 236350.16 232804.16 227119.38 221380.98 223555.14 223159.87 223175.69 220
DELS-MVS514.57 212587.73 215295.12 216343.03 218328.09 2291540.48 244116.22 238988.59 235325.44 230906.22 233119.86 222365.72 222788.60 241161.09 224191.55 227
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 213581.17 214321.48 222361.02 220429.00 2381995.36 25078.48 216796.20 226283.32 222796.02 22496.78 210382.98 225636.72 231186.66 233152.46 214
gg-mvs-nofinetune594.69 214605.37 216562.67 244617.29 252500.33 242772.30 206413.12 287579.21 205552.71 251567.40 201662.54 306531.67 236503.93 212779.80 284656.02 268
SR-MVS610.10 215610.10 217610.10 249610.10 246610.10 259610.10 200610.10 311610.10 211610.10 258610.10 207610.10 294610.10 252610.10 226610.10 267610.10 265
CR-MVSNet612.36 216617.81 219596.01 247611.29 248600.33 256790.30 207513.12 302579.21 205552.71 251567.40 201662.54 306531.67 236503.93 212779.80 284656.02 268
IterMVS615.05 217691.66 220385.23 227516.40 239454.80 2391863.80 248102.10 2341142.20 245364.10 2331093.20 247135.00 225480.40 235826.90 242181.20 230220.50 231
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 218700.96 221362.78 225426.10 235409.25 2361822.69 247124.42 2491186.23 246366.85 2341079.42 245190.60 250451.78 234930.72 246181.59 231227.30 232
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
WBMVS655.88 219770.84 224310.98 220391.79 230353.00 2302280.68 25299.17 2331776.79 266301.20 2251123.23 248187.34 248390.28 228620.39 228156.98 220189.66 226
ACMH+729.97 2661.38 220754.00 222383.51 226368.96 222376.38 2332483.74 26482.42 2181089.25 244333.39 2311219.68 24966.53 203573.60 249957.86 247184.14 232200.56 230
SSC-MVS3.2667.82 221787.71 225308.16 218385.94 228327.65 2271718.51 245117.00 2391942.46 271317.12 2281488.73 262183.89 239404.82 230763.70 239172.02 228192.01 228
UBG667.82 221787.71 225308.16 218385.94 228327.65 2271718.51 245117.00 2391942.46 271317.12 2281488.73 262183.89 239404.82 230763.70 239172.02 228192.01 228
Gipumacopyleft689.75 223767.00 223458.00 236613.00 251549.00 2541943.00 249187.00 2631230.00 247518.00 2481092.00 246203.00 256564.00 241892.00 245225.00 246261.00 240
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
IterMVS-LS758.94 224856.56 229466.10 237606.60 244546.80 2522309.90 253122.20 2481402.80 251463.50 2381348.20 251192.60 251574.60 2501028.60 257234.60 248276.90 242
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
new-patchmatchnet766.12 225859.03 230487.38 240595.68 241536.14 2442346.27 254142.51 2541488.08 253422.43 2351361.32 253163.65 235628.60 2541003.74 256207.61 237297.41 246
SixPastTwentyTwo773.62 226869.37 232486.35 239603.45 243547.15 2532532.14 265106.92 2361434.95 252428.08 2361360.56 252165.15 236628.96 255984.09 248209.01 238282.94 243
mvs_anonymous774.90 227882.28 233452.77 229636.50 253537.20 2452348.80 255120.30 2411504.30 254474.40 2391371.10 254186.90 241564.70 2421078.90 259219.30 239256.40 233
casdiffmvspermissive774.90 227882.28 233452.77 229636.50 253537.20 2452348.80 255120.30 2411504.30 254474.40 2391371.10 254186.90 241564.70 2421078.90 259219.30 239256.40 233
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 227882.28 233452.77 229636.50 253537.20 2452348.80 255120.30 2411504.30 254474.40 2391371.10 254186.90 241564.70 2421078.90 259219.30 239256.40 233
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 227882.28 233452.77 229636.50 253537.20 2452348.80 255120.30 2411504.30 254474.40 2391371.10 254186.90 241564.70 2421078.90 259219.30 239256.40 233
baseline1774.90 227882.28 233452.77 229636.50 253537.20 2452348.80 255120.30 2411504.30 254474.40 2391371.10 254186.90 241564.70 2421078.90 259219.30 239256.40 233
casdiffmvs_mvgpermissive774.90 227882.28 233452.77 229636.50 253537.20 2452348.80 255120.30 2411504.30 254474.40 2391371.10 254186.90 241564.70 2421078.90 259219.30 239256.40 233
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 227882.28 233452.77 229636.50 253537.20 2452348.80 255120.30 2411504.30 254474.40 2391371.10 254186.90 241564.70 2421078.90 259219.30 239256.40 233
RPMNet787.26 234829.13 227661.63 253885.90 268895.90 276455.98 198610.10 3111297.17 2481002.26 2801001.67 243655.98 304611.10 253667.90 234885.21 296477.90 262
JIA-IIPM804.30 235835.64 228710.26 258885.90 268895.90 276455.98 198668.73 3161297.17 2481002.26 2801001.67 243655.98 304756.98 259667.90 234885.21 296477.90 262
CSCG826.03 236963.29 241414.24 228421.52 234426.11 2372230.35 251179.52 2621827.44 267733.43 268933.12 235281.25 264545.23 2401800.35 276262.64 250271.38 241
PVSNet1207.94 6829.56 237937.18 240506.69 241645.55 260585.72 2552477.98 263130.52 2501578.29 262509.50 2471460.01 261194.90 252637.19 2561170.78 267267.07 252297.17 245
PatchT856.34 238860.99 231842.38 2631290.90 283880.90 274790.30 2071267.30 334579.21 205923.90 270567.40 201662.54 306990.23 267887.56 244779.80 284656.02 268
K. test v3877.74 239980.16 242570.46 2461316.85 285813.15 2712565.52 266103.78 2351509.49 261548.33 2501258.90 250219.93 261587.82 2511102.37 266196.30 234310.42 248
MVSTER890.06 2401005.91 249542.52 242736.13 265653.90 2632616.56 267145.22 2561692.10 265555.69 2541554.72 265266.25 263660.02 2571219.66 268266.84 251313.64 249
PMVScopyleft863.65 3957.08 2411054.11 250666.00 255401.00 233495.00 2413790.00 272279.00 2681607.00 264521.00 2491745.00 26790.00 2061105.00 278639.00 232415.00 263398.00 260
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ACMH993.80 5967.92 2421106.11 252553.33 243494.00 238534.00 2433581.00 270136.00 2511585.00 263478.00 2461871.00 26990.00 206839.00 2611460.00 270260.00 249287.00 244
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet_01661.03 9968.54 2431066.82 251673.70 256706.94 263695.69 2642669.02 268153.52 2582108.17 274605.54 2561679.14 266213.26 260886.75 2641236.76 269229.01 247438.67 261
OurMVSNet-221017-0999.00 244999.00 243999.00 264999.00 273999.00 278999.00 220999.00 327999.00 237999.00 273999.00 236999.00 319999.00 269999.00 249999.00 303999.00 300
EPMVS999.00 244999.00 243999.00 264999.00 273999.00 278999.00 220999.00 327999.00 237999.00 273999.00 236999.00 319999.00 269999.00 249999.00 303999.00 300
uanet_test1000.00 2461000.00 2451000.00 2671000.00 2761000.00 2811000.00 2231000.00 3301000.00 2391000.00 2761000.00 2391000.00 3221000.00 2721000.00 2521000.00 3061000.00 303
sosnet1000.00 2461000.00 2451000.00 2671000.00 2761000.00 2811000.00 2231000.00 3301000.00 2391000.00 2761000.00 2391000.00 3221000.00 2721000.00 2521000.00 3061000.00 303
USDC1000.00 2461000.00 2451000.00 2671000.00 2761000.00 2811000.00 2231000.00 3301000.00 2391000.00 2761000.00 2391000.00 3221000.00 2721000.00 2521000.00 3061000.00 303
TinyColmap1000.00 2461000.00 2451000.00 2671000.00 2761000.00 2811000.00 2231000.00 3301000.00 2391000.00 2761000.00 2391000.00 3221000.00 2721000.00 2521000.00 3061000.00 303
ACMP1246.57 71086.24 2501235.17 254639.45 250596.53 242639.91 2613904.24 273152.04 2571851.54 268566.58 2551997.95 271138.50 227938.30 2651605.46 272303.70 258340.14 251
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Patchmtry1090.75 2511198.88 253766.38 2621290.90 283485.90 2402423.98 2621267.30 3341297.17 248923.90 270923.40 2341215.54 327990.23 267667.90 234779.80 284823.02 282
test_04021110.00 2521260.00 255660.00 252900.00 271780.00 2703300.00 269210.00 2652040.00 273690.00 2631950.00 270300.00 267810.00 2601620.00 273330.00 259390.00 259
MVS_111021_LR1136.45 2531298.72 256649.64 251756.17 266726.26 2673785.94 271138.15 2532190.64 275629.63 2612064.39 272165.45 237874.83 2631678.43 275279.70 253347.82 254
ACMM1311.08 81165.06 2541332.72 257662.07 254584.90 240715.99 2664373.59 277153.99 2591880.27 269709.02 2652316.97 273188.63 249939.89 2661484.30 271302.78 257330.34 250
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++1242.93 2551411.08 258738.48 260712.71 264712.68 2654168.17 275136.50 2522276.40 276613.28 2602368.60 276161.61 2341130.38 2791964.54 279297.88 255372.39 256
MG-MVS1256.50 2561432.00 259730.00 259610.00 245760.00 2684720.00 278169.00 2601920.00 270723.00 2672510.00 279201.00 2541050.00 2761645.00 274390.00 262380.00 257
ACMMPR1296.60 2571480.82 260743.96 261899.25 270763.47 2694305.47 276143.90 2552530.94 279683.99 2622346.34 275201.65 2551098.25 2771920.59 278295.21 254370.16 255
TSAR-MVS + GP.1386.84 2581622.84 262678.81 257952.13 272840.17 2735358.21 281170.75 2612650.47 280713.54 2662394.28 277209.42 259855.56 2621854.36 277302.42 256340.71 252
FPMVS1407.00 2591495.59 2611141.23 272648.01 261893.85 2754124.00 274503.81 3013219.04 282742.72 2692498.84 278157.98 2331727.83 285832.93 243732.98 283802.00 277
DeepC-MVS_fast2190.19 121535.59 2601886.82 264481.89 238847.73 267830.16 2727943.84 297189.23 2642398.83 277691.73 2642341.13 274209.16 258230.25 2031999.25 280360.46 260385.25 258
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
COLMAP_ROBcopyleft2144.59 111658.33 2611869.33 2631025.33 2711030.00 2801023.00 2855311.00 280359.00 2773044.00 281937.00 2722892.00 280332.00 2711440.00 2822312.00 282607.00 266613.00 267
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 2622113.11 2651173.33 2751231.00 2811174.00 2866297.00 283392.00 2823356.00 2841087.00 2823082.00 281361.00 2751670.00 2842523.00 284689.00 273676.00 272
OpenMVS_ROBcopyleft1936.51 101959.51 2632224.88 2671163.39 2741253.91 2821434.22 2897065.71 287272.76 2672472.29 2781647.54 3123538.72 284200.37 2531496.48 2832575.17 285997.45 302559.48 264
CMPMVSbinary2623.62 151983.08 2642156.14 2661463.89 2851414.80 2871517.00 2915239.20 279867.40 3213310.30 2831128.70 2843489.90 283366.75 2762030.20 2962427.60 2831160.60 315844.46 285
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MVS-HIRNet2125.39 2652452.68 2681143.53 2732938.33 3281446.92 2906083.19 282391.74 2813801.71 2871202.10 2863439.72 282492.73 2851304.35 2813048.25 289676.32 272679.32 273
PLCcopyleft2858.82 162192.92 2662474.00 2691349.67 2771407.00 2861356.00 2887164.00 288475.00 2943970.00 2881237.00 2893765.00 287451.00 2821891.00 2903006.00 288791.00 289802.00 277
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVScopyleft2352.88 132263.08 2672530.89 2701459.67 2841767.00 2981591.00 2947932.00 296399.00 2833643.00 2851176.00 2853569.00 285297.00 2661927.00 2923302.00 290693.00 278861.00 286
PCF-MVS4335.85 202272.23 2682597.03 2711297.84 2761701.20 2901332.37 2878105.11 298451.45 2904031.84 2891099.10 2833966.50 288467.45 2831734.05 2862701.68 287848.94 293827.11 283
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x4202340.81 2692643.03 2721434.14 2782025.55 3071629.36 2986542.40 284412.49 2844219.70 2911547.02 3004328.52 290650.74 3011798.26 2873333.17 291727.72 280874.79 287
CHOSEN 1792x26882340.81 2692643.03 2721434.14 2782025.55 3071629.36 2986542.40 284412.49 2844219.70 2911547.02 3004328.52 290650.74 3011798.26 2873333.17 291727.72 280874.79 287
HyFIR lowres test2340.81 2692643.03 2721434.14 2782025.55 3071629.36 2986542.40 284412.49 2844219.70 2911547.02 3004328.52 290650.74 3011798.26 2873333.17 291727.72 280874.79 287
3Dnovator2482.06 142531.17 2722839.56 2751606.00 2861732.00 2941557.00 2938375.00 300483.00 2954370.00 2941371.00 2954200.00 289350.00 2732207.00 2973877.00 297798.00 2901054.00 307
tpmrst2557.50 2732847.12 2761688.66 2891784.08 2991778.25 3087445.50 294342.14 2744471.54 2951534.55 2994382.10 293530.10 2892361.21 3004142.81 301991.22 301926.51 292
AdaColmapbinary2570.77 2742948.61 2771437.24 2811873.64 3001526.60 2927819.77 295373.97 2784970.45 2981479.29 2974648.46 295525.80 2881904.97 2914150.42 302695.69 279880.14 290
SD-MVS2654.53 2753055.56 2801451.45 2821725.60 2911598.35 2959203.30 304315.86 2715016.02 3001363.85 2924894.28 298387.23 2772023.43 2933973.88 298620.04 269732.56 274
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
DeepPCF-MVS3452.42 182670.71 2763021.57 2781618.12 2872377.67 3141751.39 3078915.70 303567.44 3094569.74 2961236.84 2884615.63 294513.23 2862291.32 2983515.48 294882.39 295811.66 279
LF4IMVS2699.50 2773049.67 2791649.00 2881755.00 2951689.00 3028330.00 299464.00 2924997.00 2991528.00 2984763.00 297568.00 2922296.00 2994215.00 303827.00 292962.00 297
EGC-MVSNET2819.75 2783096.89 2811988.33 2993105.00 3292241.00 3199480.00 308640.00 3154209.00 2901583.00 3054740.00 296547.00 2912797.00 3122644.00 286924.00 299927.00 293
Vis-MVSNetpermissive2877.42 2793170.00 2821999.67 3001673.00 2892042.00 3178593.00 301474.00 2936452.00 3131268.00 2905125.00 301339.00 2723004.00 3144222.00 304384.00 261953.00 296
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2891.50 2803284.78 2831711.67 2901954.00 3011655.00 30110117.00 317445.00 2895102.00 3031375.00 2965126.00 302351.00 2742638.00 3104402.00 305691.00 276842.00 284
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 2813537.00 2841975.67 2972310.00 3122005.00 31610100.00 316626.00 3145753.00 3041803.00 3155179.00 303487.00 2842622.00 3084550.00 3061025.00 3101300.00 314
DeepC-MVS3917.13 193155.06 2823601.83 2851814.72 2952515.52 3171941.53 31210432.50 318589.42 3104789.45 2971298.65 2917677.31 319578.35 2932589.53 3043611.78 296923.52 298913.10 291
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DPM-MVS3268.00 2833762.89 2861783.33 2931756.00 2961806.00 30912319.00 320307.00 2696319.00 3111557.00 3035763.00 304302.00 2682609.00 3065061.00 309482.00 264935.00 294
OPM-MVS3268.00 2833762.89 2861783.33 2931756.00 2961806.00 30912319.00 320307.00 2696319.00 3111557.00 3035763.00 304302.00 2682609.00 3065061.00 309482.00 264935.00 294
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TAPA-MVS6309.84 213374.90 2853806.99 2882078.63 3022535.47 3182499.25 3278816.16 302456.05 2916255.60 3101664.52 3136704.88 309629.95 2992768.38 3116343.93 323856.35 294968.25 298
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 2864065.89 2931914.35 2962349.10 3132141.30 31812362.70 322417.60 2886717.80 3171759.40 3146497.50 307518.18 2872629.38 3095164.32 311806.40 291972.38 299
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
tpm23617.85 2874007.23 2892449.73 3072012.71 3031698.05 3037351.19 290869.29 3226132.06 3061588.28 3068007.42 3221281.09 3283888.11 3267472.04 3271351.00 3171763.02 323
tpm cat13617.85 2874007.23 2892449.73 3072012.71 3031698.05 3037351.19 290869.29 3226132.06 3061588.28 3068007.42 3221281.09 3283888.11 3267472.04 3271351.00 3171763.02 323
CostFormer3617.85 2874007.23 2892449.73 3072012.71 3031698.05 3037351.19 290869.29 3226132.06 3061588.28 3068007.42 3221281.09 3283888.11 3267472.04 3271351.00 3171763.02 323
tpm3617.85 2874007.23 2892449.73 3072012.71 3031698.05 3037351.19 290869.29 3226132.06 3061588.28 3068007.42 3221281.09 3283888.11 3267472.04 3271351.00 3171763.02 323
MVS_111021_HR3742.80 2914330.34 2941980.20 2982484.31 3162259.52 32014973.80 327515.90 3086500.13 3141949.21 3176146.89 306535.66 2902593.66 3054880.76 308986.37 3001087.43 308
MAR-MVS3973.16 2924387.92 2952728.86 3133345.27 3303341.39 33411403.90 319798.76 3196555.62 3162569.29 3276514.86 308834.97 3133237.43 3235891.08 3141577.54 3221607.76 315
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
DVP-MVS++3981.10 2934731.32 2981730.42 2912191.51 3101949.98 31316473.90 329355.33 2757172.90 3221622.98 3107879.79 320434.33 2802428.11 3025762.12 312689.04 274813.18 280
DVP-MVScopyleft3981.10 2934731.32 2981730.42 2912191.51 3101949.98 31316473.90 329355.33 2757172.90 3221622.98 3107879.79 320434.33 2802428.11 3025762.12 312689.04 274813.18 280
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
GST-MVS4000.00 2954533.33 2962400.00 3062400.00 3152400.00 3217200.00 2892400.00 3387200.00 3242400.00 3267200.00 3142400.00 3322400.00 3017200.00 3252400.00 3292400.00 328
SED-MVS4062.74 2964671.13 2972237.56 3032643.17 3192465.14 32213996.40 324493.26 2967619.38 3252107.24 3187416.93 316610.24 2963088.29 3196075.14 3191078.39 3111159.26 309
MSP-MVS4296.20 2974911.12 3012451.45 3112725.60 3242598.35 32816203.30 328515.86 3047016.02 3182363.85 3226894.28 310887.23 3143023.43 3155973.88 3151620.04 3231732.56 319
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
API-MVS4380.83 2984906.56 3002803.67 3143844.00 3313116.00 33313454.00 323901.00 3266511.00 3152794.00 3287365.00 315754.00 3103634.00 3246622.00 3241914.00 3281661.00 318
OMC-MVS5022.26 2995748.82 3022842.58 3154905.27 3333101.27 33214933.60 326812.24 3209278.40 3292959.29 3298800.17 3261092.24 3263806.30 3257568.54 3311389.60 3211620.18 317
CLD-MVS7338.25 3008341.00 3034330.00 3164902.00 3324991.00 33523318.00 332728.00 31814437.00 3394378.00 33113379.00 334824.00 3125708.00 33011429.00 3401674.00 3272291.00 327
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 3018776.23 3044410.16 3175298.55 3345631.53 33634329.90 3341504.57 33611554.00 3383896.41 33015111.00 335812.19 3115985.63 3313516.20 2952963.23 3301613.31 316
ZNCC-MVS9999.00 3029999.00 3059999.00 3199999.00 3379999.00 3399999.00 3099999.00 3429999.00 3309999.00 3349999.00 3279999.00 3359999.00 3329999.00 3329999.00 3339999.00 331
patch_mono-210000.00 30310000.00 30610000.00 32010000.00 33810000.00 34010000.00 31010000.00 34310000.00 33110000.00 33510000.00 32810000.00 33610000.00 33310000.00 33310000.00 33410000.00 332
dcpmvs_210000.00 30310000.00 30610000.00 32010000.00 33810000.00 34010000.00 31010000.00 34310000.00 33110000.00 33510000.00 32810000.00 33610000.00 33310000.00 33310000.00 33410000.00 332
DCPMVS10000.00 30310000.00 30610000.00 32010000.00 33810000.00 34010000.00 31010000.00 34310000.00 33110000.00 33510000.00 32810000.00 33610000.00 33310000.00 33310000.00 33410000.00 332
UA-Net10000.00 30310000.00 30610000.00 32010000.00 33810000.00 34010000.00 31010000.00 34310000.00 33110000.00 33510000.00 32810000.00 33610000.00 33310000.00 33310000.00 33410000.00 332
uncertanet10000.00 30310000.00 30610000.00 32010000.00 33810000.00 34010000.00 31010000.00 34310000.00 33110000.00 33510000.00 32810000.00 33610000.00 33310000.00 33310000.00 33410000.00 332
uanet10000.00 30310000.00 30610000.00 32010000.00 33810000.00 34010000.00 31010000.00 34310000.00 33110000.00 33510000.00 32810000.00 33610000.00 33310000.00 33310000.00 33410000.00 332
MVEpermissive10021.00 2210550.67 30910002.44 31212195.33 3266242.00 3358768.00 33830896.00 3334451.00 33910331.00 3376247.00 33218296.00 336283.00 26521484.00 3407364.00 3265912.00 3326334.00 330
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 31011772.44 3137637.33 3189120.00 3368206.00 33722252.00 3312010.00 33724984.00 3407458.00 33322596.00 3372940.00 33310260.00 33911100.00 3393492.00 3314446.00 329
LTVRE_ROB20565.47 2323378.08 31122805.00 31425097.33 32715500.00 34419201.00 34642712.00 3356055.00 34038388.00 34116926.00 34138534.00 3387071.00 33435653.00 34129475.00 34110584.00 34020438.00 339
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 31234443.44 31527094.33 32829249.00 34525246.00 34751144.00 3366705.00 34142886.00 34222888.00 34248534.00 33913263.00 34237507.00 34279298.00 34216024.00 34118530.00 338
114514_t99999.00 31399999.00 31699999.00 32999999.00 34699999.00 34899999.00 33799999.00 34999999.00 34399999.00 34399999.00 34099999.00 34399999.00 34399999.00 34399999.00 34299999.00 340
PHI-MVS99999.00 31399999.00 31699999.00 32999999.00 34699999.00 34899999.00 33799999.00 34999999.00 34399999.00 34399999.00 34099999.00 34399999.00 34399999.00 34399999.00 34299999.00 340
MP-MVS-pluss833433.63 3151111219.60 32175.70 17674.28 18073.29 183284.50 18111.35 176238.58 18565.86 181255.35 19314.55 174115.69 19510000000.00 34831.94 17438.12 180
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MTAPA833442.10 3161111233.77 32267.09 17265.59 17964.81 182284.50 18110000000.00 354219.97 18459.62 180229.89 18812.72 173103.00 193203.67 19427.93 17333.46 172
XVG-OURS-SEG-HR999999.00 317999999.00 318999999.00 331999999.00 348999999.00 350999999.00 339999999.00 351999999.00 345999999.00 345999999.00 342999999.00 345999999.00 345999999.00 345999999.00 344999999.00 342
XVG-OURS999999.00 317999999.00 318999999.00 331999999.00 348999999.00 350999999.00 339999999.00 351999999.00 345999999.00 345999999.00 342999999.00 345999999.00 345999999.00 345999999.00 344999999.00 342
XVG-ACMP-BASELINE999999.00 317999999.00 318999999.00 331999999.00 348999999.00 350999999.00 339999999.00 351999999.00 345999999.00 345999999.00 342999999.00 345999999.00 345999999.00 345999999.00 344999999.00 342
mamba_040810000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
icg_test_0407_210000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
SSM_0407210000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
SSM_040710000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
IMVS_040710000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
IMVS_040410000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
SSM_040410000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
IMVS_040310000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
SD_040310000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
NormalMVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
lecture10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
SymmetryMVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
Elysia10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
StellarMVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
KinetiMVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
LuminaMVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
VortexMVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
AstraMVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
guyue10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
sc_t110000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
tt0320-xc10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
tt032010000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
MVSMamba_PlusPlus10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
MGCFI-Net10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
sasdasda10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
dmvs_re10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
SDMVSNet10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
dmvs_testset10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
sd_testset10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
balanced_conf0310000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
MonoMVSNet10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
test250610000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
test111110000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
ECVR-MVScopyleft10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
test_blank10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
tt080510000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
Anonymous2024052110000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
cl2210000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
miper_ehance_all_eth10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
miper_enhance_ethall10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
cl____10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
DIV-MVS_self_test10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
eth_miper_zixun_eth10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
ET-MVSNet_ETH3D10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
UniMVSNet_ETH3D10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
miper_lstm_enhance10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
D2MVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
test_yl10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
thisisatest053010000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
Anonymous2024052910000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
Anonymous20240521110000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
DCV-MVSNet10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
tttt051710000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
our_test_310000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
thisisatest051510000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
ppachtmachnet_test10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
SMA-MVScopyleft10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
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 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
tfpnnormal10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
tfpn200view910000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
c3_l10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
IterMVS-SCA-FT10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
pmmvs610000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
pmmvs510000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
Anonymous2023121110000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
pmmvs-eth3d10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
Anonymous2023120610000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
SCA10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
Patchmatch-test10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
Patchmatch-RL test10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
canonicalmvs10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
anonymousdsp10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
FIs10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
FC-MVSNet-test10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
sosnet-low-res10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
AllTest10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
RRT-MVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
mamv410000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
HPM-MVS++copyleft10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
XVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
pm-mvs110000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
X-MVStestdata10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
APDe-MVScopyleft10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
pmmvs410000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
test-LLR10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
TESTMET0.1,110000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
test-mter10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
testgi10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
test20.0310000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
thres600view710000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
MP-MVScopyleft10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
thres40010000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
test12310000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
thres20010000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
test0.0.03 110000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
pmmvs310000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
EMVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
E-PMN10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
PGM-MVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
MCST-MVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
MVS_Test10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
PMMVS210000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
PM-MVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
HQP_MVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
mPP-MVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
mvsmamba10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
HPM-MVS_fast10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
HPM-MVScopyleft10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
EPNet_dtu10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
NCCC10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
CP-MVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
CPTT-MVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
HQP-MVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
IS-MVSNet10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
PAPM_NR10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
PAPR10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
Vis-MVSNet (Re-imp)10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
PatchMatch-RL10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
TDRefinement10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
EPP-MVSNet10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
PMMVS10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
PAPM10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
ACMMPcopyleft10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
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 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
wuyk23d10000000.00 32010000000.00 32310000000.00 33410000000.00 35110000000.00 35310000000.00 34210000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
APD-MVScopyleft1000000000.00 4511000000000.00 4541000000000.00 4671000000000.00 4921000000000.00 4921000000000.00 4781000000000.00 4921000000000.00 4851000000000.00 4861000000000.00 4831000000000.00 4881000000000.00 4861000000000.00 4851000000000.00 4841000000000.00 482
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
WAC-MVS248.46 212422.23 205
FOURS12643.17 3192465.14 32213996.40 324493.26 2967619.38 3252107.24 318
MSC_two_6792asdad2237.56 3032643.17 3192465.14 322493.26 2963088.29 3196075.14 3191078.39 3111159.26 309
PC_three_14527619.38 3252107.24 3187416.93 316610.24 2963088.29 3196075.14 3191078.39 3111159.26 309
No_MVS2237.56 3032643.17 3192465.14 322493.26 2963088.29 3196075.14 3191078.39 3111159.26 309
test_one_06012643.17 3192465.14 322493.26 2967619.38 3252107.24 3187416.93 316610.24 296
eth-test21.42 105
eth-test10000000.00 351
ZD-MVS1584.00 2881821.00 311378.00 2803721.00 2861231.00 2871833.00 268321.00 2701224.00 2802103.00 281692.00 277
RE-MVS-def610.10 217610.10 246610.10 259610.10 200610.10 311610.10 211610.10 258610.10 207610.10 294610.10 226610.10 267610.10 265
IU-MVS2725.60 3242598.35 328515.86 3047016.02 3182363.85 3225973.88 3151620.04 3231732.56 319
OPU-MVS2451.45 3112725.60 3242598.35 3289203.30 3046894.28 310887.23 3143023.43 3155973.88 3151620.04 3231732.56 319
test_241102_TWO515.86 3047016.02 3182363.85 3226894.28 310887.23 3143023.43 3155973.88 3151620.04 3231732.56 319
test_241102_ONE2725.60 3242598.35 328515.86 3047016.02 3182363.85 3226894.28 310887.23 3143023.43 315
9.140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
save fliter0.00 10.00 10.00 10.00 10.00 1
test_0728_THIRD5016.02 3001363.85 2924894.28 298387.23 2772023.43 2933973.88 298620.04 269732.56 274
test_0728_SECOND1451.45 2821725.60 2911598.35 2959203.30 304315.86 2712023.43 2933973.88 298620.04 269732.56 274
test07261725.60 2911598.35 2959203.30 304315.86 2715016.02 3001363.85 2924894.28 298387.23 277
GSMVS10000000.00 345
test_part210000000.00 35110000000.00 35310000000.00 348
sam_mvs110000000.00 34810000000.00 345
sam_mvs10000000.00 348
ambc999.00 264999.00 273999.00 278999.00 220999.00 327999.00 273999.00 236999.00 319999.00 269999.00 249999.00 303999.00 300
MTGPAbinary10000000.00 354
test_post110000000.00 34210000000.00 34510000000.00 34810000000.00 34810000000.00 348
test_post10000000.00 34510000000.00 34810000000.00 348
patchmatchnet-post10000000.00 34510000000.00 34810000000.00 348
GG-mvs-BLEND596.01 247611.29 248600.33 256790.30 207513.12 302552.71 251567.40 201662.54 306531.67 236503.93 212779.80 284656.02 268
MTMP10000000.00 34210000000.00 354
gm-plane-assit611.29 248600.33 256579.21 205567.40 201531.67 236503.93 212
test9_res0.00 10.00 10.00 1
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
agg_prior0.00 10.00 10.00 10.00 10.00 1
TestCases10000000.00 33410000000.00 35110000000.00 35310000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
test_prior40.00 10.00 1
test_prior20.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_prior0.00 10.00 10.00 10.00 10.00 10.00 1
旧先验20.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
新几何10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
旧先验10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
无先验0.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM20.00 1
原ACMM10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test2220.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
testdata0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata10.00 10.00 1
test120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
plane_prior710000000.00 35110000000.00 353
plane_prior610000000.00 35110000000.00 35310000000.00 348
plane_prior510000000.00 35410000000.00 34810000000.00 34810000000.00 34710000000.00 345
plane_prior410000000.00 345
plane_prior310000000.00 35310000000.00 34810000000.00 348
plane_prior210000000.00 34210000000.00 348
plane_prior110000000.00 351
plane_prior1.00 992.00 1372.00 1382.00 136
n214.20 179
nn1.42 107
door-mid1.42 107
lessismore_v0569.20 245667.25 262644.68 26296.45 228428.86 2371514.17 264204.21 257756.58 2581061.60 258197.79 235306.34 247
LGP-MVS_train10000000.00 33410000000.00 35110000000.00 35310000000.00 35410000000.00 34810000000.00 34810000000.00 34510000000.00 34810000000.00 34810000000.00 34810000000.00 34710000000.00 345
test111.00 100
door99.00 232
HQP5-MVS10000000.00 353
HQP-NCC10000000.00 35110000000.00 34210000000.00 34810000000.00 348
ACMP_Plane10000000.00 35110000000.00 34210000000.00 34810000000.00 348
BP-MVS10000000.00 348
HQP4-MVS10000000.00 34810000000.00 34810000000.00 345
HQP3-MVS10000000.00 35410000000.00 347
HQP2-MVS10000000.00 348
NP-MVS10000000.00 35110000000.00 35310000000.00 345
MDTV_nov1_ep13_2view9.99 1599.99 1579.99 1589.99 1579.99 1599.99 1559.99 158
MDTV_nov1_ep139.99 1459.99 1589.99 1599.99 1579.99 1659.99 1589.99 1579.99 1549.99 1599.99 1589.99 1559.99 159
ACMMP++_ref10000000.00 347
ACMMP++10000000.00 347
Test By Simon990.00 318
ITE_SJBPF2014.00 3011998.00 3021992.00 315701.00 3175989.00 3051812.00 3163612.00 286650.00 3002852.00 3134601.00 3071195.00 3161198.00 313
DeepMVS_CXcopyleft1.00 921.00 991.00 991.00 1001.00 991.00 981.00 961.00 981.00 991.00 971.00 971.00 97