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
E3new0.00 10.00 10.00 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-MVSNET20.00 10.00 10.00 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-MVSNET10.00 10.00 10.00 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_110.00 10.00 10.00 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
E20.00 10.00 10.00 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
E30.00 10.00 10.00 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_100.00 10.00 10.00 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
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
viewdifsd2359ckpt090.00 10.00 10.00 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
MGCNet0.00 10.00 10.00 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-mvs330.30 650.30 660.30 700.30 770.30 770.30 770.30 780.30 770.30 760.30 740.30 760.30 770.30 750.30 750.30 75
hse-mvs20.30 650.30 660.30 700.30 770.30 770.30 770.30 780.30 770.30 760.30 740.30 760.30 770.30 750.30 750.30 75
CL-MVSNet_self_test0.30 650.30 660.30 700.30 770.30 770.30 770.30 780.30 770.30 760.30 740.30 760.30 770.30 750.30 750.30 75
AUN-MVS0.30 650.30 660.30 700.30 770.30 770.30 770.30 780.30 770.30 760.30 740.30 760.30 770.30 750.30 750.30 75
LCM-MVSNet0.37 690.36 700.37 740.37 810.37 810.37 810.32 820.37 810.37 800.37 780.37 800.37 810.37 790.37 790.37 79
v1441920.40 700.40 710.40 750.40 820.40 820.40 820.40 840.40 820.40 810.40 790.40 810.40 820.40 800.40 800.40 80
v19219200.40 700.40 710.40 750.40 820.40 820.40 820.40 840.40 820.40 810.40 790.40 810.40 820.40 800.40 800.40 80
v11920.40 700.40 710.40 750.40 820.40 820.40 820.40 840.40 820.40 810.40 790.40 810.40 820.40 800.40 800.40 80
v11440.40 700.40 710.40 750.40 820.40 820.40 820.40 840.40 820.40 810.40 790.40 810.40 820.40 800.40 800.40 80
v1480.40 700.40 710.40 750.40 820.40 820.40 820.40 840.40 820.40 810.40 790.40 810.40 820.40 800.40 800.40 80
v7n0.40 700.40 710.40 750.40 820.40 820.40 820.40 840.40 820.40 810.40 790.40 810.40 820.40 800.40 800.40 80
v12400.40 700.40 710.40 750.40 820.40 820.40 820.40 840.40 820.40 810.40 790.40 810.40 820.40 800.40 800.40 80
v80.40 700.40 710.40 750.40 820.40 820.40 820.40 840.40 820.40 810.40 790.40 810.40 820.40 800.40 800.40 80
v100.40 700.40 710.40 750.40 820.40 820.40 820.40 840.40 820.40 810.40 790.40 810.40 820.40 800.40 800.40 80
v2v4820.40 700.40 710.40 750.40 820.40 820.40 820.40 840.40 820.40 810.40 790.40 810.40 820.40 800.40 800.40 80
V420.40 700.40 710.40 750.40 820.40 820.40 820.40 840.40 820.40 810.40 790.40 810.40 820.40 800.40 800.40 80
GA-MVS0.40 700.40 710.40 750.40 820.40 820.40 820.40 840.40 820.40 810.40 790.40 810.40 820.40 800.40 800.40 80
Fast-Effi-MVS+0.41 820.40 710.41 870.41 940.41 940.41 940.35 830.41 940.41 930.41 910.41 930.41 940.41 920.41 920.41 92
Fast-Effi-MVS+-dtu0.44 830.44 840.44 880.44 950.44 950.44 950.44 960.44 950.44 940.44 920.44 940.44 950.44 930.44 930.44 93
Effi-MVS+0.58 840.56 850.62 910.53 960.62 980.53 960.53 970.53 960.62 970.62 950.53 950.62 980.62 950.53 940.62 96
Effi-MVS+-dtu0.59 850.61 870.53 890.68 1030.53 960.53 960.68 1040.68 1030.53 950.53 930.68 1020.53 960.68 1010.53 940.53 94
KD-MVS_self_test0.60 860.60 860.60 900.60 970.60 970.60 980.60 980.60 970.60 960.60 940.60 960.60 970.60 940.60 960.60 95
EIA-MVS0.62 870.62 880.62 910.62 980.62 980.62 990.62 990.62 980.62 970.62 950.62 970.62 980.62 950.62 970.62 96
ETV-MVS0.62 870.62 880.62 910.62 980.62 980.62 990.62 990.62 980.62 970.62 950.62 970.62 980.62 950.62 970.62 96
CS-MVS0.62 870.62 880.62 910.62 980.62 980.62 990.62 990.62 980.62 970.62 950.62 970.62 980.62 950.62 970.62 96
SPE-MVS-test0.62 870.62 880.62 910.62 980.62 980.62 990.62 990.62 980.62 970.62 950.62 970.62 980.62 950.62 970.62 96
EC-MVSNet0.62 870.62 880.62 910.62 980.62 980.62 990.62 990.62 980.62 970.62 950.62 970.62 980.62 950.62 970.62 96
CDS-MVSNet0.88 920.88 930.88 970.88 1040.88 1040.88 1040.88 1050.88 1040.88 1030.88 1010.88 1030.88 1040.88 1020.88 1020.88 102
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 920.88 930.88 970.88 1040.88 1040.88 1040.88 1050.88 1040.88 1030.88 1010.88 1030.88 1040.88 1020.88 1020.88 102
LCM-MVSNet-Re0.89 940.89 950.89 990.89 1060.89 1060.89 1060.89 1070.89 1060.89 1050.89 1030.89 1050.89 1060.89 1040.89 1040.89 104
MDA-MVSNet-bldmvs1.20 951.20 961.20 1011.20 1081.20 1091.20 1071.20 1101.20 1081.20 1071.20 1051.20 1071.20 1081.20 1061.20 1061.20 106
YYNet11.20 951.20 961.20 1011.20 1081.20 1091.20 1071.20 1101.20 1081.20 1071.20 1051.20 1071.20 1081.20 1061.20 1061.20 106
MDA-MVSNet_test_wron1.20 951.20 961.20 1011.20 1081.20 1091.20 1071.20 1101.20 1081.20 1071.20 1051.20 1071.20 1081.20 1061.20 1061.20 106
KD-MVS_2432*16001.30 981.30 991.30 1041.30 1111.30 1121.30 1101.30 1131.30 1111.30 1101.30 1081.30 1101.30 1111.30 1091.30 1091.30 109
miper_refine_blended1.30 981.30 991.30 1041.30 1111.30 1121.30 1101.30 1131.30 1111.30 1101.30 1081.30 1101.30 1111.30 1091.30 1091.30 109
EI-MVSNet-UG-set1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
EI-MVSNet-Vis-set1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
EI-MVSNet1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
Regformer1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
CVMVSNet1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
EU-MVSNet1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
PS-CasMVS1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
UniMVSNet_NR-MVSNet1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
PEN-MVS1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
TransMVSNet (Re)1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
DTE-MVSNet1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
DU-MVS1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
UniMVSNet (Re)1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
CP-MVSNet1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
WR-MVS_H1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
WR-MVS1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
NR-MVSNet1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
Baseline_NR-MVSNet1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
TranMVSNet+NR-MVSNet1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
MVSFormer1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
jason1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
jason: jason.
lupinMVS1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
test_djsdf1.42 1001.42 1011.42 1061.42 1131.42 1141.42 1121.42 1151.42 1131.42 1121.42 1101.42 1121.42 1131.42 1111.42 1111.42 111
reproduce_monomvs1.48 1231.48 1241.48 1291.48 1371.48 1371.48 1351.48 1401.48 1361.48 1351.48 1331.48 1351.48 1361.48 1341.48 1341.48 134
mmtdpeth1.48 1231.48 1241.48 1291.48 1371.48 1371.48 1351.48 1401.48 1361.48 1351.48 1331.48 1351.48 1361.48 1341.48 1341.48 134
reproduce_model1.48 1231.48 1241.48 1291.48 1371.48 1371.48 1351.48 1401.48 1361.48 1351.48 1331.48 1351.48 1361.48 1341.48 1341.48 134
reproduce-ours1.48 1231.48 1241.48 1291.48 1371.48 1371.48 1351.48 1401.48 1361.48 1351.48 1331.48 1351.48 1361.48 1341.48 1341.48 134
our_new_method1.48 1231.48 1241.48 1291.48 1371.48 1371.48 1351.48 1401.48 1361.48 1351.48 1331.48 1351.48 1361.48 1341.48 1341.48 134
mmdepth1.48 1231.48 1241.48 1291.48 1371.48 1371.48 1351.48 1401.48 1361.48 1351.48 1331.48 1351.48 1361.48 1341.48 1341.48 134
monomultidepth1.48 1231.48 1241.48 1291.48 1371.48 1371.48 1351.48 1401.48 1361.48 1351.48 1331.48 1351.48 1361.48 1341.48 1341.48 134
mvs5depth1.48 1231.48 1241.48 1291.48 1371.48 1371.48 1351.48 1401.48 1361.48 1351.48 1331.48 1351.48 1361.48 1341.48 1341.48 134
MVStest11.48 1231.48 1241.48 1291.48 1371.48 1371.48 1351.48 1401.48 1361.48 1351.48 1331.48 1351.48 1361.48 1341.48 1341.48 134
ttmdpeth1.48 1231.48 1241.48 1291.48 1371.48 1371.48 1351.48 1401.48 1361.48 1351.48 1331.48 1351.48 1361.48 1341.48 1341.48 134
alignmvs2.00 1332.00 1342.00 1392.00 1472.00 1472.00 1452.00 1502.00 1462.00 1452.00 1432.00 1452.00 1462.00 1442.00 1442.00 144
nrg0302.00 1332.00 1342.00 1392.00 1472.00 1472.00 1452.00 1502.00 1462.00 1452.00 1432.00 1452.00 1462.00 1442.00 1442.00 144
LFMVS2.00 1332.00 1342.00 1392.00 1472.00 1472.00 1452.00 1502.00 1462.00 1452.00 1432.00 1452.00 1462.00 1442.00 1442.00 144
VDD-MVS2.00 1332.00 1342.00 1392.00 1472.00 1472.00 1452.00 1502.00 1462.00 1452.00 1432.00 1452.00 1462.00 1442.00 1442.00 144
VDDNet2.00 1332.00 1342.00 1392.00 1472.00 1472.00 1452.00 1502.00 1462.00 1452.00 1432.00 1452.00 1462.00 1442.00 1442.00 144
VPNet2.00 1332.00 1342.00 1392.00 1472.00 1472.00 1452.00 1502.00 1462.00 1452.00 1432.00 1452.00 1462.00 1442.00 1442.00 144
VNet2.00 1332.00 1342.00 1392.00 1472.00 1472.00 1452.00 1502.00 1462.00 1452.00 1432.00 1452.00 1462.00 1442.00 1442.00 144
VPA-MVSNet2.00 1332.00 1342.00 1392.00 1472.00 1472.00 1452.00 1502.00 1462.00 1452.00 1432.00 1452.00 1462.00 1442.00 1442.00 144
cascas2.00 1332.00 1342.00 1392.00 1472.00 1472.00 1452.00 1502.00 1462.00 1452.00 1432.00 1452.00 1462.00 1442.00 1442.00 144
UnsupCasMVSNet_eth5.90 1425.90 1435.90 1485.90 1565.90 1565.90 1555.90 1625.90 1565.90 1545.90 1525.90 1565.90 1555.90 1535.90 1565.90 156
UnsupCasMVSNet_bld5.90 1425.90 1435.90 1485.90 1565.90 1565.90 1555.90 1625.90 1565.90 1545.90 1525.90 1565.90 1555.90 1535.90 1565.90 156
WTY-MVS5.90 1425.90 1435.90 1485.90 1565.90 1565.90 1555.90 1625.90 1565.90 1545.90 1525.90 1565.90 1555.90 1535.90 1565.90 156
HY-MVS5.90 15.90 1425.90 1435.90 1485.90 1565.90 1565.90 1555.90 1625.90 1565.90 1545.90 1525.90 1565.90 1555.90 1535.90 1565.90 156
sss5.90 1425.90 1435.90 1485.90 1565.90 1565.90 1555.90 1625.90 1565.90 1545.90 1525.90 1565.90 1555.90 1535.90 1565.90 156
Test_1112_low_res5.90 1425.90 1435.90 1485.90 1565.90 1565.90 1555.90 1625.90 1565.90 1545.90 1525.90 1565.90 1555.90 1535.90 1565.90 156
1112_ss5.90 1425.90 1435.90 1485.90 1565.90 1565.90 1555.90 1625.90 1565.90 1545.90 1525.90 1565.90 1555.90 1535.90 1565.90 156
ab-mvs-re5.90 1425.90 1435.90 1485.90 1565.90 1565.90 1555.90 1625.90 1565.90 1545.90 1525.90 1565.90 1555.90 1535.90 1565.90 156
ab-mvs5.90 1425.90 1435.90 1485.90 1565.90 1565.90 1555.90 1625.90 1565.90 1545.90 1525.90 1565.90 1555.90 1535.90 1565.90 156
CDPH-MVS6.66 1516.66 1526.66 1576.66 1656.66 1656.66 1646.66 1716.66 1656.66 1636.66 1616.66 1656.66 1646.66 1626.66 1656.66 165
xiu_mvs_v1_base_debu10.28 15210.28 15410.28 15910.28 16710.28 16910.28 16710.28 17410.28 16810.28 16710.28 16310.28 16910.28 16710.28 16510.28 16810.28 167
xiu_mvs_v2_base10.28 15210.28 15410.28 15910.28 16710.28 16910.28 16710.28 17410.28 16810.28 16710.28 16310.28 16910.28 16710.28 16510.28 16810.28 167
xiu_mvs_v1_base10.28 15210.28 15410.28 15910.28 16710.28 16910.28 16710.28 17410.28 16810.28 16710.28 16310.28 16910.28 16710.28 16510.28 16810.28 167
xiu_mvs_v1_base_debi10.28 15210.28 15410.28 15910.28 16710.28 16910.28 16710.28 17410.28 16810.28 16710.28 16310.28 16910.28 16710.28 16510.28 16810.28 167
cdsmvs_eth3d_5k10.28 15210.28 15410.28 15910.28 16710.28 16910.28 16710.28 17410.28 16810.28 16710.28 16310.28 16910.28 16710.28 16510.28 16810.28 167
pcd_1.5k_mvsjas10.28 15210.28 15410.28 15910.28 16710.28 16910.28 16710.28 17410.28 16810.28 16710.28 16310.28 16910.28 16710.28 16510.28 16810.28 167
PS-MVSNAJss10.28 15210.28 15410.28 15910.28 16710.28 16910.28 16710.28 17410.28 16810.28 16710.28 16310.28 16910.28 16710.28 16510.28 16810.28 167
PS-MVSNAJ10.28 15210.28 15410.28 15910.28 16710.28 16910.28 16710.28 17410.28 16810.28 16710.28 16310.28 16910.28 16710.28 16510.28 16810.28 167
jajsoiax10.28 15210.28 15410.28 15910.28 16710.28 16910.28 16710.28 17410.28 16810.28 16710.28 16310.28 16910.28 16710.28 16510.28 16810.28 167
mvs_tets10.28 15210.28 15410.28 15910.28 16710.28 16910.28 16710.28 17410.28 16810.28 16710.28 16310.28 16910.28 16710.28 16510.28 16810.28 167
SR-MVS-dyc-post11.55 16211.55 16411.55 17111.55 17811.55 18011.55 17711.55 18611.55 17811.55 17811.55 17311.55 18011.55 17711.55 17511.55 17811.55 177
XXY-MVS15.00 16315.00 16515.00 17215.00 17915.00 18215.00 17815.00 18815.00 17915.00 18015.00 17415.00 18415.00 17915.00 17715.00 18015.00 179
test_method18.29 16420.89 16610.50 16915.00 17913.00 18155.00 1843.00 16034.00 18111.50 17732.50 1755.00 15513.50 17827.00 1795.00 1555.00 155
GeoE19.41 16522.09 16711.37 17017.21 18111.30 17950.50 1834.30 16133.60 18011.70 17944.50 1807.30 16618.90 18022.60 1787.10 1663.90 153
BH-w/o40.00 16640.00 16840.00 17440.00 18240.00 18340.00 17940.00 20740.00 18240.00 18240.00 17640.00 20140.00 18240.00 18040.00 19440.00 190
BH-untuned40.00 16640.00 16840.00 17440.00 18240.00 18340.00 17940.00 20740.00 18240.00 18240.00 17640.00 20140.00 18240.00 18040.00 19440.00 190
BH-RMVSNet40.00 16640.00 16840.00 17440.00 18240.00 18340.00 17940.00 20740.00 18240.00 18240.00 17640.00 20140.00 18240.00 18040.00 19440.00 190
TR-MVS40.00 16640.00 16840.00 17440.00 18240.00 18340.00 17940.00 20740.00 18240.00 18240.00 17640.00 20140.00 18240.00 18040.00 19440.00 190
GBi-Net44.67 17049.24 17230.96 17347.53 18647.57 187126.09 1858.00 17276.99 18626.09 18173.50 18211.27 17930.55 18161.12 18412.58 17914.75 178
dp87.20 171113.80 1757.42 15810.50 1778.88 166298.82 1922.70 159510.35 2117.79 164172.93 1853.37 1549.16 16514.00 1763.71 1544.23 154
new_pmnet88.14 17298.62 17356.70 17898.14 19356.07 188246.79 18715.37 189148.06 18750.77 186143.13 18323.35 18562.65 18693.26 18568.71 20451.38 200
N_pmnet88.14 17298.62 17356.70 17898.14 19356.07 188246.79 18715.37 189148.06 18750.77 186143.13 18323.35 18562.65 18693.26 18568.71 20451.38 200
CANet110.62 174124.04 17670.34 18182.03 19074.27 193325.54 19325.25 192207.16 18969.28 191194.38 18627.53 18795.79 195147.76 18937.43 18440.97 194
CANet_DTU110.62 174124.04 17670.34 18182.03 19074.27 193325.54 19325.25 192207.16 18969.28 191194.38 18627.53 18795.79 195147.76 18937.43 18440.97 194
UGNet110.62 174124.04 17670.34 18182.03 19074.27 193325.54 19325.25 192207.16 18969.28 191194.38 18627.53 18795.79 195147.76 18937.43 18440.97 194
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 177133.18 17975.70 18474.28 18873.29 191284.50 18911.35 184238.58 19365.86 189255.35 20114.55 182115.69 203222.18 20331.94 18238.12 188
FMVSNet5124.76 178140.93 18076.26 186107.44 196100.17 200329.88 19627.12 198259.44 19874.30 194204.34 18930.74 19092.41 188196.98 19238.15 18736.19 181
test1124.76 178140.93 18076.26 186107.44 196100.17 200329.88 19627.12 198259.44 19874.30 194204.34 18930.74 19092.41 188196.98 19238.15 18736.19 181
FMVSNet3124.76 178140.93 18076.26 186107.44 196100.17 200329.88 19627.12 198259.44 19874.30 194204.34 18930.74 19092.41 188196.98 19238.15 18736.19 181
FMVSNet2124.76 178140.93 18076.26 186107.44 196100.17 200329.88 19627.12 198259.44 19874.30 194204.34 18930.74 19092.41 188196.98 19238.15 18736.19 181
FMVSNet1124.76 178140.93 18076.26 186107.44 196100.17 200329.88 19627.12 198259.44 19874.30 194204.34 18930.74 19092.41 188196.98 19238.15 18736.19 181
MIMVSNet1124.76 178140.93 18076.26 186107.44 196100.17 200329.88 19627.12 198259.44 19874.30 194204.34 18930.74 19092.41 188196.98 19238.15 18736.19 181
MIMVSNet124.76 178140.93 18076.26 186107.44 196100.17 200329.88 19627.12 198259.44 19874.30 194204.34 18930.74 19092.41 188196.98 19238.15 18736.19 181
DSMNet-mixed131.33 185143.00 18796.33 19699.00 19581.00 196201.00 18645.00 212335.00 20599.00 204251.00 20038.00 200110.00 202120.00 18899.00 21098.00 206
PVSNet_Blended_VisFu136.90 186155.40 18881.40 193111.00 20396.20 197407.00 20325.90 195251.60 19585.10 201240.50 19737.00 19799.90 198199.80 19940.70 19848.10 197
PVSNet_BlendedMVS136.90 186155.40 18881.40 193111.00 20396.20 197407.00 20325.90 195251.60 19585.10 201240.50 19737.00 19799.90 198199.80 19940.70 19848.10 197
PVSNet_Blended136.90 186155.40 18881.40 193111.00 20396.20 197407.00 20325.90 195251.60 19585.10 201240.50 19737.00 19799.90 198199.80 19940.70 19848.10 197
BP-MVS1202.65 189232.15 191114.16 197183.40 207141.78 207655.87 21124.69 191372.56 206109.76 205356.89 20347.15 205139.51 205284.15 20554.86 20161.20 202
FE-MVS207.10 190234.26 192125.61 198180.34 206153.23 208635.64 21030.05 205378.38 207127.68 206377.08 20448.95 206154.43 206266.67 20463.56 20269.18 203
GDP-MVS219.79 191249.11 193131.85 199187.15 208155.97 209667.31 21230.57 206398.95 208131.26 207387.86 20558.83 208164.55 207315.00 20665.03 20375.04 204
FA-MVS(test-final)261.15 192293.29 194164.72 200236.23 211199.99 214800.05 21842.35 211475.87 210155.47 208470.67 20758.49 207205.24 209319.44 20781.03 20788.93 205
DP-MVS264.78 193296.02 195171.04 202191.70 209183.96 211827.10 21978.36 223438.24 209176.64 210435.12 20665.04 210230.52 212334.02 208117.96 21898.64 207
kuosan267.89 194301.05 196168.41 201244.05 212177.28 210667.98 21365.76 214533.41 212157.79 209492.01 208104.69 223226.72 210364.47 21079.31 206101.21 208
WB-MVS316.44 195357.41 197193.51 204257.06 213213.32 217914.45 22149.03 213600.77 218186.42 212634.00 22075.03 213251.35 214411.39 21188.55 208115.87 210
SSC-MVS320.23 196364.09 198188.66 203260.78 214193.84 212975.93 22773.11 219596.72 217185.29 211589.02 21474.47 212246.01 213427.42 21494.06 209126.12 211
UWE-MVS-28327.73 197369.67 199201.90 205281.09 220210.75 215832.98 22074.67 222680.98 225198.23 213613.42 217112.56 226259.80 215418.76 212114.35 212135.15 217
testing91347.05 198389.92 200218.43 207275.92 218241.43 219923.71 22371.70 215667.65 223217.04 217629.00 218113.33 227281.39 217495.50 217115.45 214132.47 214
testing11348.86 199393.09 201216.15 206275.24 217239.53 218915.55 22272.35 216679.89 224215.75 216633.79 219118.08 228276.62 216509.56 225117.61 217132.30 213
dongtai360.45 200401.64 202236.89 210303.10 221262.16 225963.12 22472.78 217622.82 221199.37 214708.06 223130.96 231310.90 220506.46 224108.11 211137.60 218
Syy-MVS370.76 201415.60 204236.25 209310.54 222210.76 216965.13 22598.58 238746.06 230266.26 224788.85 23091.37 217364.76 228357.17 209116.42 215133.22 215
tmp_tt371.08 202412.78 203246.00 213231.00 210197.00 2131293.00 246376.00 287756.00 232609.00 26571.00 181106.00 224195.00 208102.00 187171.00 235346.00 261
UWE-MVS387.98 203438.66 206235.93 208349.32 227257.61 2231081.50 23582.45 227637.74 222257.12 221738.54 225134.25 232308.00 218531.93 227135.11 221142.17 219
myMVS_eth3d390.90 204437.44 205251.28 215310.54 222255.86 222965.13 22598.58 238746.06 230266.26 224788.85 230154.95 239364.76 228490.19 216116.42 215133.22 215
RPSCF394.81 205445.63 207242.35 211276.55 219253.63 2211207.27 24390.69 232715.56 226241.57 220684.87 221111.96 225320.02 222548.38 229133.81 220153.39 223
WB-MVSnew404.84 206458.00 208245.36 212374.70 231320.27 2331193.74 24272.90 218773.77 233238.30 218688.22 22290.05 216308.59 219532.76 228157.54 229107.21 209
testing99408.82 207462.15 209248.86 214322.45 224269.42 2261118.93 23873.26 220719.36 228262.28 222772.10 227150.98 238327.08 223601.98 233137.99 222150.07 221
testing3418.10 208469.06 210265.23 218335.69 225290.63 2281240.88 24493.72 233717.99 227215.31 215811.97 236232.41 270358.74 226458.67 215114.88 213146.32 220
myMVS_eth3d28418.40 209473.07 211254.39 216261.18 215313.04 2291172.79 24174.16 221929.18 241264.68 223745.72 226139.03 236318.91 221549.18 230121.71 219131.21 212
testing222430.52 210487.50 214259.56 217379.87 235282.69 2271138.34 23981.30 225880.86 237281.58 227834.27 238135.83 234333.22 224514.90 226140.56 223162.76 224
EG-PatchMatch MVS437.03 211493.12 215268.77 219264.80 216260.20 2241491.80 25098.00 237723.20 229238.80 219722.40 22463.10 209382.00 232629.00 237207.00 244164.10 227
ADS-MVSNet2443.33 212482.84 212324.79 231434.94 244387.73 2421110.57 23687.69 229887.02 238282.92 228779.29 22898.57 221422.76 240502.40 218162.19 233163.87 225
ADS-MVSNet443.33 212482.84 212324.79 231434.94 244387.73 2421110.57 23687.69 229887.02 238282.92 228779.29 22898.57 221422.76 240502.40 218162.19 233163.87 225
ETVMVS443.50 214498.07 216279.78 220378.05 234321.57 2341163.68 24087.12 228897.50 240269.81 226822.83 237141.20 237334.53 225568.21 232154.21 224183.26 231
MVP-Stereo473.58 215533.67 217293.33 222376.00 232318.00 2301461.00 24896.00 234835.00 235290.00 231804.00 23397.00 219383.00 234688.00 245156.00 226179.00 229
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 215533.67 217293.33 222376.00 232318.00 2301461.00 24896.00 234835.00 235290.00 231804.00 23397.00 219383.00 234688.00 245156.00 226179.00 229
testing3-2489.51 217555.88 220290.42 221362.21 229319.27 2321424.84 24788.81 231964.80 242309.62 234879.13 240174.38 246363.98 227643.82 241155.29 225188.01 232
PatchmatchNetpermissive492.52 218551.22 219316.40 229400.20 240357.90 2401277.10 245115.80 2451034.60 251315.90 235874.00 239155.10 240402.20 237629.50 238158.80 230189.10 233
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmvs501.65 219567.42 221304.33 225395.39 239356.32 2391512.04 251216.53 274994.15 244350.16 240804.16 235119.38 229380.98 231555.14 231159.87 231175.69 228
DELS-MVS514.57 220587.73 223295.12 224343.03 226328.09 2371540.48 252116.22 246988.59 243325.44 238906.22 241119.86 230365.72 230788.60 249161.09 232191.55 235
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 221581.17 222321.48 230361.02 228429.00 2461995.36 25878.48 224796.20 234283.32 230796.02 23296.78 218382.98 233636.72 239186.66 241152.46 222
gg-mvs-nofinetune594.69 222605.37 224562.67 252617.29 260500.33 250772.30 214413.12 295579.21 213552.71 259567.40 209662.54 314531.67 244503.93 220779.80 292656.02 276
SR-MVS610.10 223610.10 225610.10 257610.10 254610.10 267610.10 208610.10 319610.10 219610.10 266610.10 215610.10 302610.10 260610.10 234610.10 275610.10 273
CR-MVSNet612.36 224617.81 227596.01 255611.29 256600.33 264790.30 215513.12 310579.21 213552.71 259567.40 209662.54 314531.67 244503.93 220779.80 292656.02 276
IterMVS615.05 225691.66 228385.23 235516.40 247454.80 2471863.80 256102.10 2421142.20 253364.10 2411093.20 255135.00 233480.40 243826.90 250181.20 238220.50 239
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 226700.96 229362.78 233426.10 243409.25 2441822.69 255124.42 2571186.23 254366.85 2421079.42 253190.60 258451.78 242930.72 254181.59 239227.30 240
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 227770.84 232310.98 228391.79 238353.00 2382280.68 26099.17 2411776.79 274301.20 2331123.23 256187.34 256390.28 236620.39 236156.98 228189.66 234
ACMH+729.97 2661.38 228754.00 230383.51 234368.96 230376.38 2412483.74 27282.42 2261089.25 252333.39 2391219.68 25766.53 211573.60 257957.86 255184.14 240200.56 238
SSC-MVS3.2667.82 229787.71 233308.16 226385.94 236327.65 2351718.51 253117.00 2471942.46 279317.12 2361488.73 270183.89 247404.82 238763.70 247172.02 236192.01 236
UBG667.82 229787.71 233308.16 226385.94 236327.65 2351718.51 253117.00 2471942.46 279317.12 2361488.73 270183.89 247404.82 238763.70 247172.02 236192.01 236
Gipumacopyleft689.75 231767.00 231458.00 244613.00 259549.00 2621943.00 257187.00 2711230.00 255518.00 2561092.00 254203.00 264564.00 249892.00 253225.00 254261.00 248
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
IterMVS-LS758.94 232856.56 237466.10 245606.60 252546.80 2602309.90 261122.20 2561402.80 259463.50 2461348.20 259192.60 259574.60 2581028.60 265234.60 256276.90 250
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
new-patchmatchnet766.12 233859.03 238487.38 248595.68 249536.14 2522346.27 262142.51 2621488.08 261422.43 2431361.32 261163.65 243628.60 2621003.74 264207.61 245297.41 254
SixPastTwentyTwo773.62 234869.37 240486.35 247603.45 251547.15 2612532.14 273106.92 2441434.95 260428.08 2441360.56 260165.15 244628.96 263984.09 256209.01 246282.94 251
mvs_anonymous774.90 235882.28 241452.77 237636.50 261537.20 2532348.80 263120.30 2491504.30 262474.40 2471371.10 262186.90 249564.70 2501078.90 267219.30 247256.40 241
casdiffmvspermissive774.90 235882.28 241452.77 237636.50 261537.20 2532348.80 263120.30 2491504.30 262474.40 2471371.10 262186.90 249564.70 2501078.90 267219.30 247256.40 241
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 235882.28 241452.77 237636.50 261537.20 2532348.80 263120.30 2491504.30 262474.40 2471371.10 262186.90 249564.70 2501078.90 267219.30 247256.40 241
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 235882.28 241452.77 237636.50 261537.20 2532348.80 263120.30 2491504.30 262474.40 2471371.10 262186.90 249564.70 2501078.90 267219.30 247256.40 241
baseline1774.90 235882.28 241452.77 237636.50 261537.20 2532348.80 263120.30 2491504.30 262474.40 2471371.10 262186.90 249564.70 2501078.90 267219.30 247256.40 241
casdiffmvs_mvgpermissive774.90 235882.28 241452.77 237636.50 261537.20 2532348.80 263120.30 2491504.30 262474.40 2471371.10 262186.90 249564.70 2501078.90 267219.30 247256.40 241
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 235882.28 241452.77 237636.50 261537.20 2532348.80 263120.30 2491504.30 262474.40 2471371.10 262186.90 249564.70 2501078.90 267219.30 247256.40 241
RPMNet787.26 242829.13 235661.63 261885.90 276895.90 284455.98 206610.10 3191297.17 2561002.26 2881001.67 251655.98 312611.10 261667.90 242885.21 304477.90 270
JIA-IIPM804.30 243835.64 236710.26 266885.90 276895.90 284455.98 206668.73 3241297.17 2561002.26 2881001.67 251655.98 312756.98 267667.90 242885.21 304477.90 270
CSCG826.03 244963.29 249414.24 236421.52 242426.11 2452230.35 259179.52 2701827.44 275733.43 276933.12 243281.25 272545.23 2481800.35 284262.64 258271.38 249
PVSNet1207.94 6829.56 245937.18 248506.69 249645.55 268585.72 2632477.98 271130.52 2581578.29 270509.50 2551460.01 269194.90 260637.19 2641170.78 275267.07 260297.17 253
PatchT856.34 246860.99 239842.38 2711290.90 291880.90 282790.30 2151267.30 342579.21 213923.90 278567.40 209662.54 314990.23 275887.56 252779.80 292656.02 276
K. test v3877.74 247980.16 250570.46 2541316.85 293813.15 2792565.52 274103.78 2431509.49 269548.33 2581258.90 258219.93 269587.82 2591102.37 274196.30 242310.42 256
MVSTER890.06 2481005.91 257542.52 250736.13 273653.90 2712616.56 275145.22 2641692.10 273555.69 2621554.72 273266.25 271660.02 2651219.66 276266.84 259313.64 257
PMVScopyleft863.65 3957.08 2491054.11 258666.00 263401.00 241495.00 2493790.00 280279.00 2761607.00 272521.00 2571745.00 27590.00 2141105.00 286639.00 240415.00 271398.00 268
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ACMH993.80 5967.92 2501106.11 260553.33 251494.00 246534.00 2513581.00 278136.00 2591585.00 271478.00 2541871.00 27790.00 214839.00 2691460.00 278260.00 257287.00 252
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet_01661.03 9968.54 2511066.82 259673.70 264706.94 271695.69 2722669.02 276153.52 2662108.17 282605.54 2641679.14 274213.26 268886.75 2721236.76 277229.01 255438.67 269
OurMVSNet-221017-0999.00 252999.00 251999.00 272999.00 281999.00 286999.00 228999.00 335999.00 245999.00 281999.00 244999.00 327999.00 277999.00 257999.00 311999.00 308
EPMVS999.00 252999.00 251999.00 272999.00 281999.00 286999.00 228999.00 335999.00 245999.00 281999.00 244999.00 327999.00 277999.00 257999.00 311999.00 308
uanet_test1000.00 2541000.00 2531000.00 2751000.00 2841000.00 2891000.00 2311000.00 3381000.00 2471000.00 2841000.00 2471000.00 3301000.00 2801000.00 2601000.00 3141000.00 311
sosnet1000.00 2541000.00 2531000.00 2751000.00 2841000.00 2891000.00 2311000.00 3381000.00 2471000.00 2841000.00 2471000.00 3301000.00 2801000.00 2601000.00 3141000.00 311
USDC1000.00 2541000.00 2531000.00 2751000.00 2841000.00 2891000.00 2311000.00 3381000.00 2471000.00 2841000.00 2471000.00 3301000.00 2801000.00 2601000.00 3141000.00 311
TinyColmap1000.00 2541000.00 2531000.00 2751000.00 2841000.00 2891000.00 2311000.00 3381000.00 2471000.00 2841000.00 2471000.00 3301000.00 2801000.00 2601000.00 3141000.00 311
ACMP1246.57 71086.24 2581235.17 262639.45 258596.53 250639.91 2693904.24 281152.04 2651851.54 276566.58 2631997.95 279138.50 235938.30 2731605.46 280303.70 266340.14 259
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Patchmtry1090.75 2591198.88 261766.38 2701290.90 291485.90 2482423.98 2701267.30 3421297.17 256923.90 278923.40 2421215.54 335990.23 275667.90 242779.80 292823.02 290
test_04021110.00 2601260.00 263660.00 260900.00 279780.00 2783300.00 277210.00 2732040.00 281690.00 2711950.00 278300.00 275810.00 2681620.00 281330.00 267390.00 267
MVS_111021_LR1136.45 2611298.72 264649.64 259756.17 274726.26 2753785.94 279138.15 2612190.64 283629.63 2692064.39 280165.45 245874.83 2711678.43 283279.70 261347.82 262
ACMM1311.08 81165.06 2621332.72 265662.07 262584.90 248715.99 2744373.59 285153.99 2671880.27 277709.02 2732316.97 281188.63 257939.89 2741484.30 279302.78 265330.34 258
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++1242.93 2631411.08 266738.48 268712.71 272712.68 2734168.17 283136.50 2602276.40 284613.28 2682368.60 284161.61 2421130.38 2871964.54 287297.88 263372.39 264
MG-MVS1256.50 2641432.00 267730.00 267610.00 253760.00 2764720.00 286169.00 2681920.00 278723.00 2752510.00 287201.00 2621050.00 2841645.00 282390.00 270380.00 265
ACMMPR1296.60 2651480.82 268743.96 269899.25 278763.47 2774305.47 284143.90 2632530.94 287683.99 2702346.34 283201.65 2631098.25 2851920.59 286295.21 262370.16 263
TSAR-MVS + GP.1386.84 2661622.84 270678.81 265952.13 280840.17 2815358.21 289170.75 2692650.47 288713.54 2742394.28 285209.42 267855.56 2701854.36 285302.42 264340.71 260
FPMVS1407.00 2671495.59 2691141.23 280648.01 269893.85 2834124.00 282503.81 3093219.04 290742.72 2772498.84 286157.98 2411727.83 293832.93 251732.98 291802.00 285
DeepC-MVS_fast2190.19 121535.59 2681886.82 272481.89 246847.73 275830.16 2807943.84 305189.23 2722398.83 285691.73 2722341.13 282209.16 266230.25 2111999.25 288360.46 268385.25 266
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 2691869.33 2711025.33 2791030.00 2881023.00 2935311.00 288359.00 2853044.00 289937.00 2802892.00 288332.00 2791440.00 2902312.00 290607.00 274613.00 275
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 2702113.11 2731173.33 2831231.00 2891174.00 2946297.00 291392.00 2903356.00 2921087.00 2903082.00 289361.00 2831670.00 2922523.00 292689.00 281676.00 280
OpenMVS_ROBcopyleft1936.51 101959.51 2712224.88 2751163.39 2821253.91 2901434.22 2977065.71 295272.76 2752472.29 2861647.54 3203538.72 292200.37 2611496.48 2912575.17 293997.45 310559.48 272
CMPMVSbinary2623.62 151983.08 2722156.14 2741463.89 2931414.80 2951517.00 2995239.20 287867.40 3293310.30 2911128.70 2923489.90 291366.75 2842030.20 3042427.60 2911160.60 323844.46 293
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MVS-HIRNet2125.39 2732452.68 2761143.53 2812938.33 3361446.92 2986083.19 290391.74 2893801.71 2951202.10 2943439.72 290492.73 2931304.35 2893048.25 297676.32 280679.32 281
PLCcopyleft2858.82 162192.92 2742474.00 2771349.67 2851407.00 2941356.00 2967164.00 296475.00 3023970.00 2961237.00 2973765.00 295451.00 2901891.00 2983006.00 296791.00 297802.00 285
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVScopyleft2352.88 132263.08 2752530.89 2781459.67 2921767.00 3061591.00 3027932.00 304399.00 2913643.00 2931176.00 2933569.00 293297.00 2741927.00 3003302.00 298693.00 286861.00 294
PCF-MVS4335.85 202272.23 2762597.03 2791297.84 2841701.20 2981332.37 2958105.11 306451.45 2984031.84 2971099.10 2913966.50 296467.45 2911734.05 2942701.68 295848.94 301827.11 291
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x4202340.81 2772643.03 2801434.14 2862025.55 3151629.36 3066542.40 292412.49 2924219.70 2991547.02 3084328.52 298650.74 3091798.26 2953333.17 299727.72 288874.79 295
CHOSEN 1792x26882340.81 2772643.03 2801434.14 2862025.55 3151629.36 3066542.40 292412.49 2924219.70 2991547.02 3084328.52 298650.74 3091798.26 2953333.17 299727.72 288874.79 295
HyFIR lowres test2340.81 2772643.03 2801434.14 2862025.55 3151629.36 3066542.40 292412.49 2924219.70 2991547.02 3084328.52 298650.74 3091798.26 2953333.17 299727.72 288874.79 295
3Dnovator2482.06 142531.17 2802839.56 2831606.00 2941732.00 3021557.00 3018375.00 308483.00 3034370.00 3021371.00 3034200.00 297350.00 2812207.00 3053877.00 305798.00 2981054.00 315
tpmrst2557.50 2812847.12 2841688.66 2971784.08 3071778.25 3167445.50 302342.14 2824471.54 3031534.55 3074382.10 301530.10 2972361.21 3084142.81 309991.22 309926.51 300
AdaColmapbinary2570.77 2822948.61 2851437.24 2891873.64 3081526.60 3007819.77 303373.97 2864970.45 3061479.29 3054648.46 303525.80 2961904.97 2994150.42 310695.69 287880.14 298
SD-MVS2654.53 2833055.56 2881451.45 2901725.60 2991598.35 3039203.30 312315.86 2795016.02 3081363.85 3004894.28 306387.23 2852023.43 3013973.88 306620.04 277732.56 282
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 2843021.57 2861618.12 2952377.67 3221751.39 3158915.70 311567.44 3174569.74 3041236.84 2964615.63 302513.23 2942291.32 3063515.48 302882.39 303811.66 287
LF4IMVS2699.50 2853049.67 2871649.00 2961755.00 3031689.00 3108330.00 307464.00 3004997.00 3071528.00 3064763.00 305568.00 3002296.00 3074215.00 311827.00 300962.00 305
EGC-MVSNET2819.75 2863096.89 2891988.33 3073105.00 3372241.00 3279480.00 316640.00 3234209.00 2981583.00 3134740.00 304547.00 2992797.00 3202644.00 294924.00 307927.00 301
Vis-MVSNetpermissive2877.42 2873170.00 2901999.67 3081673.00 2972042.00 3258593.00 309474.00 3016452.00 3211268.00 2985125.00 309339.00 2803004.00 3224222.00 312384.00 269953.00 304
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2891.50 2883284.78 2911711.67 2981954.00 3091655.00 30910117.00 325445.00 2975102.00 3111375.00 3045126.00 310351.00 2822638.00 3184402.00 313691.00 284842.00 292
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 2893537.00 2921975.67 3052310.00 3202005.00 32410100.00 324626.00 3225753.00 3121803.00 3235179.00 311487.00 2922622.00 3164550.00 3141025.00 3181300.00 322
DeepC-MVS3917.13 193155.06 2903601.83 2931814.72 3032515.52 3251941.53 32010432.50 326589.42 3184789.45 3051298.65 2997677.31 327578.35 3012589.53 3123611.78 304923.52 306913.10 299
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 2913762.89 2941783.33 3011756.00 3041806.00 31712319.00 328307.00 2776319.00 3191557.00 3115763.00 312302.00 2762609.00 3145061.00 317482.00 272935.00 302
OPM-MVS3268.00 2913762.89 2941783.33 3011756.00 3041806.00 31712319.00 328307.00 2776319.00 3191557.00 3115763.00 312302.00 2762609.00 3145061.00 317482.00 272935.00 302
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TAPA-MVS6309.84 213374.90 2933806.99 2962078.63 3102535.47 3262499.25 3358816.16 310456.05 2996255.60 3181664.52 3216704.88 317629.95 3072768.38 3196343.93 331856.35 302968.25 306
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 2944065.89 3011914.35 3042349.10 3212141.30 32612362.70 330417.60 2966717.80 3251759.40 3226497.50 315518.18 2952629.38 3175164.32 319806.40 299972.38 307
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
tpm23617.85 2954007.23 2972449.73 3152012.71 3111698.05 3117351.19 298869.29 3306132.06 3141588.28 3148007.42 3301281.09 3363888.11 3347472.04 3351351.00 3251763.02 331
tpm cat13617.85 2954007.23 2972449.73 3152012.71 3111698.05 3117351.19 298869.29 3306132.06 3141588.28 3148007.42 3301281.09 3363888.11 3347472.04 3351351.00 3251763.02 331
CostFormer3617.85 2954007.23 2972449.73 3152012.71 3111698.05 3117351.19 298869.29 3306132.06 3141588.28 3148007.42 3301281.09 3363888.11 3347472.04 3351351.00 3251763.02 331
tpm3617.85 2954007.23 2972449.73 3152012.71 3111698.05 3117351.19 298869.29 3306132.06 3141588.28 3148007.42 3301281.09 3363888.11 3347472.04 3351351.00 3251763.02 331
MVS_111021_HR3742.80 2994330.34 3021980.20 3062484.31 3242259.52 32814973.80 335515.90 3166500.13 3221949.21 3256146.89 314535.66 2982593.66 3134880.76 316986.37 3081087.43 316
MAR-MVS3973.16 3004387.92 3032728.86 3213345.27 3383341.39 34211403.90 327798.76 3276555.62 3242569.29 3356514.86 316834.97 3213237.43 3315891.08 3221577.54 3301607.76 323
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 3014731.32 3061730.42 2992191.51 3181949.98 32116473.90 337355.33 2837172.90 3301622.98 3187879.79 328434.33 2882428.11 3105762.12 320689.04 282813.18 288
DVP-MVScopyleft3981.10 3014731.32 3061730.42 2992191.51 3181949.98 32116473.90 337355.33 2837172.90 3301622.98 3187879.79 328434.33 2882428.11 3105762.12 320689.04 282813.18 288
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 3034533.33 3042400.00 3142400.00 3232400.00 3297200.00 2972400.00 3467200.00 3322400.00 3347200.00 3222400.00 3402400.00 3097200.00 3332400.00 3372400.00 336
SED-MVS4062.74 3044671.13 3052237.56 3112643.17 3272465.14 33013996.40 332493.26 3047619.38 3332107.24 3267416.93 324610.24 3043088.29 3276075.14 3271078.39 3191159.26 317
MSP-MVS4296.20 3054911.12 3092451.45 3192725.60 3322598.35 33616203.30 336515.86 3127016.02 3262363.85 3306894.28 318887.23 3223023.43 3235973.88 3231620.04 3311732.56 327
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 3064906.56 3082803.67 3223844.00 3393116.00 34113454.00 331901.00 3346511.00 3232794.00 3367365.00 323754.00 3183634.00 3326622.00 3321914.00 3361661.00 326
OMC-MVS5022.26 3075748.82 3102842.58 3234905.27 3413101.27 34014933.60 334812.24 3289278.40 3372959.29 3378800.17 3341092.24 3343806.30 3337568.54 3391389.60 3291620.18 325
CLD-MVS7338.25 3088341.00 3114330.00 3244902.00 3404991.00 34323318.00 344728.00 32614437.00 3474378.00 33913379.00 342824.00 3205708.00 33811429.00 3481674.00 3352291.00 335
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 3098776.23 3124410.16 3255298.55 3425631.53 34434329.90 3461504.57 34411554.00 3463896.41 33815111.00 343812.19 3195985.63 3393516.20 3032963.23 3381613.31 324
ZNCC-MVS9999.00 3109999.00 3139999.00 3279999.00 3459999.00 3479999.00 3179999.00 3509999.00 3389999.00 3429999.00 3359999.00 3439999.00 3409999.00 3409999.00 3419999.00 339
patch_mono-210000.00 31110000.00 31410000.00 32810000.00 34610000.00 34810000.00 31810000.00 35110000.00 33910000.00 34310000.00 33610000.00 34410000.00 34110000.00 34110000.00 34210000.00 340
dcpmvs_210000.00 31110000.00 31410000.00 32810000.00 34610000.00 34810000.00 31810000.00 35110000.00 33910000.00 34310000.00 33610000.00 34410000.00 34110000.00 34110000.00 34210000.00 340
DCPMVS10000.00 31110000.00 31410000.00 32810000.00 34610000.00 34810000.00 31810000.00 35110000.00 33910000.00 34310000.00 33610000.00 34410000.00 34110000.00 34110000.00 34210000.00 340
UA-Net10000.00 31110000.00 31410000.00 32810000.00 34610000.00 34810000.00 31810000.00 35110000.00 33910000.00 34310000.00 33610000.00 34410000.00 34110000.00 34110000.00 34210000.00 340
uncertanet10000.00 31110000.00 31410000.00 32810000.00 34610000.00 34810000.00 31810000.00 35110000.00 33910000.00 34310000.00 33610000.00 34410000.00 34110000.00 34110000.00 34210000.00 340
uanet10000.00 31110000.00 31410000.00 32810000.00 34610000.00 34810000.00 31810000.00 35110000.00 33910000.00 34310000.00 33610000.00 34410000.00 34110000.00 34110000.00 34210000.00 340
MVEpermissive10021.00 2210550.67 31710002.44 32012195.33 3346242.00 3438768.00 34630896.00 3454451.00 34710331.00 3456247.00 34018296.00 344283.00 27321484.00 3487364.00 3345912.00 3406334.00 338
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 31811772.44 3217637.33 3269120.00 3448206.00 34522252.00 3432010.00 34524984.00 3487458.00 34122596.00 3452940.00 34110260.00 34711100.00 3473492.00 3394446.00 337
LTVRE_ROB20565.47 2323378.08 31922805.00 32225097.33 33515500.00 35219201.00 35442712.00 3476055.00 34838388.00 34916926.00 34938534.00 3467071.00 34235653.00 34929475.00 34910584.00 34820438.00 347
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 32034443.44 32327094.33 33629249.00 35325246.00 35551144.00 3486705.00 34942886.00 35022888.00 35048534.00 34713263.00 35037507.00 35079298.00 35016024.00 34918530.00 346
114514_t99999.00 32199999.00 32499999.00 33799999.00 35499999.00 35699999.00 34999999.00 35799999.00 35199999.00 35199999.00 34899999.00 35199999.00 35199999.00 35199999.00 35099999.00 348
PHI-MVS99999.00 32199999.00 32499999.00 33799999.00 35499999.00 35699999.00 34999999.00 35799999.00 35199999.00 35199999.00 34899999.00 35199999.00 35199999.00 35199999.00 35099999.00 348
MP-MVS-pluss833433.63 3231111219.60 32975.70 18474.28 18873.29 191284.50 18911.35 184238.58 19365.86 189255.35 20114.55 182115.69 20310000000.00 35631.94 18238.12 188
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MTAPA833442.10 3241111233.77 33067.09 18065.59 18764.81 190284.50 18910000000.00 362219.97 19259.62 188229.89 19612.72 181103.00 201203.67 20227.93 18133.46 180
XVG-OURS-SEG-HR999999.00 325999999.00 326999999.00 339999999.00 356999999.00 358999999.00 351999999.00 359999999.00 353999999.00 353999999.00 350999999.00 353999999.00 353999999.00 353999999.00 352999999.00 350
XVG-OURS999999.00 325999999.00 326999999.00 339999999.00 356999999.00 358999999.00 351999999.00 359999999.00 353999999.00 353999999.00 350999999.00 353999999.00 353999999.00 353999999.00 352999999.00 350
XVG-ACMP-BASELINE999999.00 325999999.00 326999999.00 339999999.00 356999999.00 358999999.00 351999999.00 359999999.00 353999999.00 353999999.00 350999999.00 353999999.00 353999999.00 353999999.00 352999999.00 350
MED-MVS9168445.40 3288891260.53 33110000000.00 34210000000.00 35910000000.00 36121344.80 33910000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
TestfortrainingZip a9168445.40 3288891260.53 33110000000.00 34210000000.00 35910000000.00 36121344.80 33910000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
mamba_040810000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
icg_test_0407_210000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
SSM_0407210000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
SSM_040710000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
IMVS_040710000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
IMVS_040410000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
SSM_040410000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
IMVS_040310000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
SD_040310000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
ME-MVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
NormalMVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
lecture10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
SymmetryMVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
Elysia10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
StellarMVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
KinetiMVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
LuminaMVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
VortexMVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
AstraMVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
guyue10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
sc_t110000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
tt0320-xc10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
tt032010000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
MVSMamba_PlusPlus10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
MGCFI-Net10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
sasdasda10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
dmvs_re10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
SDMVSNet10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
dmvs_testset10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
sd_testset10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
balanced_conf0310000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
MonoMVSNet10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
test250610000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
test111110000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
ECVR-MVScopyleft10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
test_blank10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
tt080510000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
Anonymous2024052110000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
cl2210000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
miper_ehance_all_eth10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
miper_enhance_ethall10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
cl____10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
DIV-MVS_self_test10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
eth_miper_zixun_eth10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
ET-MVSNet_ETH3D10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
UniMVSNet_ETH3D10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
miper_lstm_enhance10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
D2MVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
test_yl10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
thisisatest053010000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
Anonymous2024052910000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
Anonymous20240521110000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
DCV-MVSNet10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
tttt051710000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
our_test_310000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
thisisatest051510000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
ppachtmachnet_test10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
SMA-MVScopyleft10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
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 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
tfpnnormal10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
tfpn200view910000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
c3_l10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
IterMVS-SCA-FT10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
pmmvs610000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
pmmvs510000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
Anonymous2023121110000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
pmmvs-eth3d10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
Anonymous2023120610000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
SCA10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
Patchmatch-test10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
Patchmatch-RL test10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
canonicalmvs10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
anonymousdsp10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
FIs10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
FC-MVSNet-test10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
sosnet-low-res10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
AllTest10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
RRT-MVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
mamv410000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
HPM-MVS++copyleft10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
XVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
pm-mvs110000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
X-MVStestdata10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
APDe-MVScopyleft10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
pmmvs410000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
test-LLR10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
TESTMET0.1,110000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
test-mter10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
testgi10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
test20.0310000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
thres600view710000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
MP-MVScopyleft10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
thres40010000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
test12310000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
thres20010000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
test0.0.03 110000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
pmmvs310000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
EMVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
E-PMN10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
PGM-MVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
MCST-MVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
MVS_Test10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
PMMVS210000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
PM-MVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
HQP_MVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
mPP-MVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
mvsmamba10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
HPM-MVS_fast10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
HPM-MVScopyleft10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
EPNet_dtu10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
NCCC10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
CP-MVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
CPTT-MVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
HQP-MVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
IS-MVSNet10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
PAPM_NR10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
PAPR10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
Vis-MVSNet (Re-imp)10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
PatchMatch-RL10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
TDRefinement10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
EPP-MVSNet10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
PMMVS10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
PAPM10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
ACMMPcopyleft10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
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 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
wuyk23d10000000.00 33010000000.00 33310000000.00 34210000000.00 35910000000.00 36110000000.00 35410000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
APD-MVScopyleft1000000000.00 4621000000000.00 4651000000000.00 4791000000000.00 5041000000000.00 5041000000000.00 4911000000000.00 5041000000000.00 4971000000000.00 4981000000000.00 4951000000000.00 4991000000000.00 4981000000000.00 4971000000000.00 4961000000000.00 494
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
MED-MVS test10000000.00 34210000000.00 35910000000.00 36121344.80 33910000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35510000000.00 353
TestfortrainingZip21344.80 339
WAC-MVS248.46 220422.23 213
FOURS12643.17 3272465.14 33013996.40 332493.26 3047619.38 3332107.24 326
MSC_two_6792asdad2237.56 3112643.17 3272465.14 330493.26 3043088.29 3276075.14 3271078.39 3191159.26 317
PC_three_14527619.38 3332107.24 3267416.93 324610.24 3043088.29 3276075.14 3271078.39 3191159.26 317
No_MVS2237.56 3112643.17 3272465.14 330493.26 3043088.29 3276075.14 3271078.39 3191159.26 317
test_one_06012643.17 3272465.14 330493.26 3047619.38 3332107.24 3267416.93 324610.24 304
eth-test21.42 113
eth-test10000000.00 359
ZD-MVS1584.00 2961821.00 319378.00 2883721.00 2941231.00 2951833.00 276321.00 2781224.00 2882103.00 289692.00 285
RE-MVS-def610.10 225610.10 254610.10 267610.10 208610.10 319610.10 219610.10 266610.10 215610.10 302610.10 234610.10 275610.10 273
IU-MVS2725.60 3322598.35 336515.86 3127016.02 3262363.85 3305973.88 3231620.04 3311732.56 327
OPU-MVS2451.45 3192725.60 3322598.35 3369203.30 3126894.28 318887.23 3223023.43 3235973.88 3231620.04 3311732.56 327
test_241102_TWO515.86 3127016.02 3262363.85 3306894.28 318887.23 3223023.43 3235973.88 3231620.04 3311732.56 327
test_241102_ONE2725.60 3322598.35 336515.86 3127016.02 3262363.85 3306894.28 318887.23 3223023.43 323
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 3081363.85 3004894.28 306387.23 2852023.43 3013973.88 306620.04 277732.56 282
test_0728_SECOND1451.45 2901725.60 2991598.35 3039203.30 312315.86 2792023.43 3013973.88 306620.04 277732.56 282
test07261725.60 2991598.35 3039203.30 312315.86 2795016.02 3081363.85 3004894.28 306387.23 285
GSMVS10000000.00 353
test_part210000000.00 35910000000.00 36110000000.00 356
sam_mvs110000000.00 35610000000.00 353
sam_mvs10000000.00 356
ambc999.00 272999.00 281999.00 286999.00 228999.00 335999.00 281999.00 244999.00 327999.00 277999.00 257999.00 311999.00 308
MTGPAbinary10000000.00 362
test_post110000000.00 35410000000.00 35310000000.00 35610000000.00 35610000000.00 356
test_post10000000.00 35310000000.00 35610000000.00 356
patchmatchnet-post10000000.00 35310000000.00 35610000000.00 356
GG-mvs-BLEND596.01 255611.29 256600.33 264790.30 215513.12 310552.71 259567.40 209662.54 314531.67 244503.93 220779.80 292656.02 276
MTMP10000000.00 35410000000.00 362
gm-plane-assit611.29 256600.33 264579.21 213567.40 209531.67 244503.93 220
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 34210000000.00 35910000000.00 36110000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
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 35910000000.00 361
plane_prior610000000.00 35910000000.00 36110000000.00 356
plane_prior510000000.00 36210000000.00 35610000000.00 35610000000.00 35510000000.00 353
plane_prior410000000.00 353
plane_prior310000000.00 36110000000.00 35610000000.00 356
plane_prior210000000.00 35410000000.00 356
plane_prior110000000.00 359
plane_prior1.00 1072.00 1452.00 1462.00 144
n214.20 187
nn1.42 115
door-mid1.42 115
lessismore_v0569.20 253667.25 270644.68 27096.45 236428.86 2451514.17 272204.21 265756.58 2661061.60 266197.79 243306.34 255
LGP-MVS_train10000000.00 34210000000.00 35910000000.00 36110000000.00 36210000000.00 35610000000.00 35610000000.00 35310000000.00 35610000000.00 35610000000.00 35610000000.00 35510000000.00 353
test111.00 108
door99.00 240
HQP5-MVS10000000.00 361
HQP-NCC10000000.00 35910000000.00 35410000000.00 35610000000.00 356
ACMP_Plane10000000.00 35910000000.00 35410000000.00 35610000000.00 356
BP-MVS10000000.00 356
HQP4-MVS10000000.00 35610000000.00 35610000000.00 353
HQP3-MVS10000000.00 36210000000.00 355
HQP2-MVS10000000.00 356
NP-MVS10000000.00 35910000000.00 36110000000.00 353
MDTV_nov1_ep13_2view9.99 1679.99 1659.99 1669.99 1659.99 1679.99 1639.99 166
MDTV_nov1_ep139.99 1539.99 1669.99 1679.99 1659.99 1739.99 1669.99 1659.99 1629.99 1679.99 1669.99 1639.99 167
ACMMP++_ref10000000.00 355
ACMMP++10000000.00 355
Test By Simon990.00 326
ITE_SJBPF2014.00 3091998.00 3101992.00 323701.00 3255989.00 3131812.00 3243612.00 294650.00 3082852.00 3214601.00 3151195.00 3241198.00 321
DeepMVS_CXcopyleft1.00 1001.00 1071.00 1071.00 1081.00 1071.00 1061.00 1041.00 1061.00 1071.00 1051.00 1051.00 105