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
usedtu_blend_shiyan50.00 10.00 10.00 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
blend_shiyan40.00 10.00 10.00 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
E60.00 10.00 10.00 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
E50.00 10.00 10.00 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-MVSNET30.00 10.00 10.00 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
E40.00 10.00 10.00 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
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
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-mvs330.30 700.30 710.30 750.30 820.30 820.30 820.30 830.30 820.30 810.30 790.30 810.30 820.30 800.30 800.30 80
hse-mvs20.30 700.30 710.30 750.30 820.30 820.30 820.30 830.30 820.30 810.30 790.30 810.30 820.30 800.30 800.30 80
CL-MVSNet_self_test0.30 700.30 710.30 750.30 820.30 820.30 820.30 830.30 820.30 810.30 790.30 810.30 820.30 800.30 800.30 80
AUN-MVS0.30 700.30 710.30 750.30 820.30 820.30 820.30 830.30 820.30 810.30 790.30 810.30 820.30 800.30 800.30 80
LCM-MVSNet0.37 740.36 750.37 790.37 860.37 860.37 860.32 870.37 860.37 850.37 830.37 850.37 860.37 840.37 840.37 84
v1441920.40 750.40 760.40 800.40 870.40 870.40 870.40 890.40 870.40 860.40 840.40 860.40 870.40 850.40 850.40 85
v19219200.40 750.40 760.40 800.40 870.40 870.40 870.40 890.40 870.40 860.40 840.40 860.40 870.40 850.40 850.40 85
v11920.40 750.40 760.40 800.40 870.40 870.40 870.40 890.40 870.40 860.40 840.40 860.40 870.40 850.40 850.40 85
v11440.40 750.40 760.40 800.40 870.40 870.40 870.40 890.40 870.40 860.40 840.40 860.40 870.40 850.40 850.40 85
v1480.40 750.40 760.40 800.40 870.40 870.40 870.40 890.40 870.40 860.40 840.40 860.40 870.40 850.40 850.40 85
v7n0.40 750.40 760.40 800.40 870.40 870.40 870.40 890.40 870.40 860.40 840.40 860.40 870.40 850.40 850.40 85
v12400.40 750.40 760.40 800.40 870.40 870.40 870.40 890.40 870.40 860.40 840.40 860.40 870.40 850.40 850.40 85
v80.40 750.40 760.40 800.40 870.40 870.40 870.40 890.40 870.40 860.40 840.40 860.40 870.40 850.40 850.40 85
v100.40 750.40 760.40 800.40 870.40 870.40 870.40 890.40 870.40 860.40 840.40 860.40 870.40 850.40 850.40 85
v2v4820.40 750.40 760.40 800.40 870.40 870.40 870.40 890.40 870.40 860.40 840.40 860.40 870.40 850.40 850.40 85
V420.40 750.40 760.40 800.40 870.40 870.40 870.40 890.40 870.40 860.40 840.40 860.40 870.40 850.40 850.40 85
GA-MVS0.40 750.40 760.40 800.40 870.40 870.40 870.40 890.40 870.40 860.40 840.40 860.40 870.40 850.40 850.40 85
Fast-Effi-MVS+0.41 870.40 760.41 920.41 990.41 990.41 990.35 880.41 990.41 980.41 960.41 980.41 990.41 970.41 970.41 97
Fast-Effi-MVS+-dtu0.44 880.44 890.44 930.44 1000.44 1000.44 1000.44 1010.44 1000.44 990.44 970.44 990.44 1000.44 980.44 980.44 98
Effi-MVS+0.58 890.56 900.62 960.53 1010.62 1030.53 1010.53 1020.53 1010.62 1020.62 1000.53 1000.62 1030.62 1000.53 990.62 101
Effi-MVS+-dtu0.59 900.61 920.53 940.68 1080.53 1010.53 1010.68 1090.68 1080.53 1000.53 980.68 1070.53 1010.68 1060.53 990.53 99
KD-MVS_self_test0.60 910.60 910.60 950.60 1020.60 1020.60 1030.60 1030.60 1020.60 1010.60 990.60 1010.60 1020.60 990.60 1010.60 100
EIA-MVS0.62 920.62 930.62 960.62 1030.62 1030.62 1040.62 1040.62 1030.62 1020.62 1000.62 1020.62 1030.62 1000.62 1020.62 101
ETV-MVS0.62 920.62 930.62 960.62 1030.62 1030.62 1040.62 1040.62 1030.62 1020.62 1000.62 1020.62 1030.62 1000.62 1020.62 101
CS-MVS0.62 920.62 930.62 960.62 1030.62 1030.62 1040.62 1040.62 1030.62 1020.62 1000.62 1020.62 1030.62 1000.62 1020.62 101
SPE-MVS-test0.62 920.62 930.62 960.62 1030.62 1030.62 1040.62 1040.62 1030.62 1020.62 1000.62 1020.62 1030.62 1000.62 1020.62 101
EC-MVSNet0.62 920.62 930.62 960.62 1030.62 1030.62 1040.62 1040.62 1030.62 1020.62 1000.62 1020.62 1030.62 1000.62 1020.62 101
CDS-MVSNet0.88 970.88 980.88 1020.88 1090.88 1090.88 1090.88 1100.88 1090.88 1080.88 1060.88 1080.88 1090.88 1070.88 1070.88 107
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 970.88 980.88 1020.88 1090.88 1090.88 1090.88 1100.88 1090.88 1080.88 1060.88 1080.88 1090.88 1070.88 1070.88 107
LCM-MVSNet-Re0.89 990.89 1000.89 1040.89 1110.89 1110.89 1110.89 1120.89 1110.89 1100.89 1080.89 1100.89 1110.89 1090.89 1090.89 109
MDA-MVSNet-bldmvs1.20 1001.20 1011.20 1061.20 1131.20 1141.20 1121.20 1151.20 1131.20 1121.20 1101.20 1121.20 1131.20 1111.20 1111.20 111
YYNet11.20 1001.20 1011.20 1061.20 1131.20 1141.20 1121.20 1151.20 1131.20 1121.20 1101.20 1121.20 1131.20 1111.20 1111.20 111
MDA-MVSNet_test_wron1.20 1001.20 1011.20 1061.20 1131.20 1141.20 1121.20 1151.20 1131.20 1121.20 1101.20 1121.20 1131.20 1111.20 1111.20 111
KD-MVS_2432*16001.30 1031.30 1041.30 1091.30 1161.30 1171.30 1151.30 1181.30 1161.30 1151.30 1131.30 1151.30 1161.30 1141.30 1141.30 114
miper_refine_blended1.30 1031.30 1041.30 1091.30 1161.30 1171.30 1151.30 1181.30 1161.30 1151.30 1131.30 1151.30 1161.30 1141.30 1141.30 114
EI-MVSNet-UG-set1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
EI-MVSNet-Vis-set1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
EI-MVSNet1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
Regformer1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
CVMVSNet1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
EU-MVSNet1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
PS-CasMVS1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
UniMVSNet_NR-MVSNet1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
PEN-MVS1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
TransMVSNet (Re)1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
DTE-MVSNet1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
DU-MVS1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
UniMVSNet (Re)1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
CP-MVSNet1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
WR-MVS_H1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
WR-MVS1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
NR-MVSNet1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
Baseline_NR-MVSNet1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
TranMVSNet+NR-MVSNet1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
MVSFormer1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
jason1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
jason: jason.
lupinMVS1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
test_djsdf1.42 1051.42 1061.42 1111.42 1181.42 1191.42 1171.42 1201.42 1181.42 1171.42 1151.42 1171.42 1181.42 1161.42 1161.42 116
reproduce_monomvs1.48 1281.48 1291.48 1341.48 1421.48 1421.48 1401.48 1451.48 1411.48 1401.48 1381.48 1401.48 1411.48 1391.48 1391.48 139
mmtdpeth1.48 1281.48 1291.48 1341.48 1421.48 1421.48 1401.48 1451.48 1411.48 1401.48 1381.48 1401.48 1411.48 1391.48 1391.48 139
reproduce_model1.48 1281.48 1291.48 1341.48 1421.48 1421.48 1401.48 1451.48 1411.48 1401.48 1381.48 1401.48 1411.48 1391.48 1391.48 139
reproduce-ours1.48 1281.48 1291.48 1341.48 1421.48 1421.48 1401.48 1451.48 1411.48 1401.48 1381.48 1401.48 1411.48 1391.48 1391.48 139
our_new_method1.48 1281.48 1291.48 1341.48 1421.48 1421.48 1401.48 1451.48 1411.48 1401.48 1381.48 1401.48 1411.48 1391.48 1391.48 139
mmdepth1.48 1281.48 1291.48 1341.48 1421.48 1421.48 1401.48 1451.48 1411.48 1401.48 1381.48 1401.48 1411.48 1391.48 1391.48 139
monomultidepth1.48 1281.48 1291.48 1341.48 1421.48 1421.48 1401.48 1451.48 1411.48 1401.48 1381.48 1401.48 1411.48 1391.48 1391.48 139
mvs5depth1.48 1281.48 1291.48 1341.48 1421.48 1421.48 1401.48 1451.48 1411.48 1401.48 1381.48 1401.48 1411.48 1391.48 1391.48 139
MVStest11.48 1281.48 1291.48 1341.48 1421.48 1421.48 1401.48 1451.48 1411.48 1401.48 1381.48 1401.48 1411.48 1391.48 1391.48 139
ttmdpeth1.48 1281.48 1291.48 1341.48 1421.48 1421.48 1401.48 1451.48 1411.48 1401.48 1381.48 1401.48 1411.48 1391.48 1391.48 139
alignmvs2.00 1382.00 1392.00 1442.00 1522.00 1522.00 1502.00 1552.00 1512.00 1502.00 1482.00 1502.00 1512.00 1492.00 1492.00 149
nrg0302.00 1382.00 1392.00 1442.00 1522.00 1522.00 1502.00 1552.00 1512.00 1502.00 1482.00 1502.00 1512.00 1492.00 1492.00 149
LFMVS2.00 1382.00 1392.00 1442.00 1522.00 1522.00 1502.00 1552.00 1512.00 1502.00 1482.00 1502.00 1512.00 1492.00 1492.00 149
VDD-MVS2.00 1382.00 1392.00 1442.00 1522.00 1522.00 1502.00 1552.00 1512.00 1502.00 1482.00 1502.00 1512.00 1492.00 1492.00 149
VDDNet2.00 1382.00 1392.00 1442.00 1522.00 1522.00 1502.00 1552.00 1512.00 1502.00 1482.00 1502.00 1512.00 1492.00 1492.00 149
VPNet2.00 1382.00 1392.00 1442.00 1522.00 1522.00 1502.00 1552.00 1512.00 1502.00 1482.00 1502.00 1512.00 1492.00 1492.00 149
VNet2.00 1382.00 1392.00 1442.00 1522.00 1522.00 1502.00 1552.00 1512.00 1502.00 1482.00 1502.00 1512.00 1492.00 1492.00 149
VPA-MVSNet2.00 1382.00 1392.00 1442.00 1522.00 1522.00 1502.00 1552.00 1512.00 1502.00 1482.00 1502.00 1512.00 1492.00 1492.00 149
cascas2.00 1382.00 1392.00 1442.00 1522.00 1522.00 1502.00 1552.00 1512.00 1502.00 1482.00 1502.00 1512.00 1492.00 1492.00 149
UnsupCasMVSNet_eth5.90 1475.90 1485.90 1535.90 1615.90 1615.90 1605.90 1675.90 1615.90 1595.90 1575.90 1615.90 1605.90 1585.90 1615.90 161
UnsupCasMVSNet_bld5.90 1475.90 1485.90 1535.90 1615.90 1615.90 1605.90 1675.90 1615.90 1595.90 1575.90 1615.90 1605.90 1585.90 1615.90 161
WTY-MVS5.90 1475.90 1485.90 1535.90 1615.90 1615.90 1605.90 1675.90 1615.90 1595.90 1575.90 1615.90 1605.90 1585.90 1615.90 161
HY-MVS5.90 15.90 1475.90 1485.90 1535.90 1615.90 1615.90 1605.90 1675.90 1615.90 1595.90 1575.90 1615.90 1605.90 1585.90 1615.90 161
sss5.90 1475.90 1485.90 1535.90 1615.90 1615.90 1605.90 1675.90 1615.90 1595.90 1575.90 1615.90 1605.90 1585.90 1615.90 161
Test_1112_low_res5.90 1475.90 1485.90 1535.90 1615.90 1615.90 1605.90 1675.90 1615.90 1595.90 1575.90 1615.90 1605.90 1585.90 1615.90 161
1112_ss5.90 1475.90 1485.90 1535.90 1615.90 1615.90 1605.90 1675.90 1615.90 1595.90 1575.90 1615.90 1605.90 1585.90 1615.90 161
ab-mvs-re5.90 1475.90 1485.90 1535.90 1615.90 1615.90 1605.90 1675.90 1615.90 1595.90 1575.90 1615.90 1605.90 1585.90 1615.90 161
ab-mvs5.90 1475.90 1485.90 1535.90 1615.90 1615.90 1605.90 1675.90 1615.90 1595.90 1575.90 1615.90 1605.90 1585.90 1615.90 161
CDPH-MVS6.66 1566.66 1576.66 1626.66 1706.66 1706.66 1696.66 1766.66 1706.66 1686.66 1666.66 1706.66 1696.66 1676.66 1706.66 170
xiu_mvs_v1_base_debu10.28 15710.28 15910.28 16410.28 17210.28 17410.28 17210.28 17910.28 17310.28 17210.28 16810.28 17410.28 17210.28 17010.28 17310.28 172
xiu_mvs_v2_base10.28 15710.28 15910.28 16410.28 17210.28 17410.28 17210.28 17910.28 17310.28 17210.28 16810.28 17410.28 17210.28 17010.28 17310.28 172
xiu_mvs_v1_base10.28 15710.28 15910.28 16410.28 17210.28 17410.28 17210.28 17910.28 17310.28 17210.28 16810.28 17410.28 17210.28 17010.28 17310.28 172
xiu_mvs_v1_base_debi10.28 15710.28 15910.28 16410.28 17210.28 17410.28 17210.28 17910.28 17310.28 17210.28 16810.28 17410.28 17210.28 17010.28 17310.28 172
cdsmvs_eth3d_5k10.28 15710.28 15910.28 16410.28 17210.28 17410.28 17210.28 17910.28 17310.28 17210.28 16810.28 17410.28 17210.28 17010.28 17310.28 172
pcd_1.5k_mvsjas10.28 15710.28 15910.28 16410.28 17210.28 17410.28 17210.28 17910.28 17310.28 17210.28 16810.28 17410.28 17210.28 17010.28 17310.28 172
PS-MVSNAJss10.28 15710.28 15910.28 16410.28 17210.28 17410.28 17210.28 17910.28 17310.28 17210.28 16810.28 17410.28 17210.28 17010.28 17310.28 172
PS-MVSNAJ10.28 15710.28 15910.28 16410.28 17210.28 17410.28 17210.28 17910.28 17310.28 17210.28 16810.28 17410.28 17210.28 17010.28 17310.28 172
jajsoiax10.28 15710.28 15910.28 16410.28 17210.28 17410.28 17210.28 17910.28 17310.28 17210.28 16810.28 17410.28 17210.28 17010.28 17310.28 172
mvs_tets10.28 15710.28 15910.28 16410.28 17210.28 17410.28 17210.28 17910.28 17310.28 17210.28 16810.28 17410.28 17210.28 17010.28 17310.28 172
SR-MVS-dyc-post11.55 16711.55 16911.55 17611.55 18311.55 18511.55 18211.55 19111.55 18311.55 18311.55 17811.55 18511.55 18211.55 18011.55 18311.55 182
XXY-MVS15.00 16815.00 17015.00 17715.00 18415.00 18715.00 18315.00 19315.00 18415.00 18515.00 17915.00 18915.00 18415.00 18215.00 18515.00 184
test_method18.29 16920.89 17110.50 17415.00 18413.00 18655.00 1893.00 16534.00 18611.50 18232.50 1805.00 16013.50 18327.00 1845.00 1605.00 160
GeoE19.41 17022.09 17211.37 17517.21 18611.30 18450.50 1884.30 16633.60 18511.70 18444.50 1857.30 17118.90 18522.60 1837.10 1713.90 158
BH-w/o40.00 17140.00 17340.00 17940.00 18740.00 18840.00 18440.00 21240.00 18740.00 18740.00 18140.00 20640.00 18740.00 18540.00 19940.00 195
BH-untuned40.00 17140.00 17340.00 17940.00 18740.00 18840.00 18440.00 21240.00 18740.00 18740.00 18140.00 20640.00 18740.00 18540.00 19940.00 195
BH-RMVSNet40.00 17140.00 17340.00 17940.00 18740.00 18840.00 18440.00 21240.00 18740.00 18740.00 18140.00 20640.00 18740.00 18540.00 19940.00 195
TR-MVS40.00 17140.00 17340.00 17940.00 18740.00 18840.00 18440.00 21240.00 18740.00 18740.00 18140.00 20640.00 18740.00 18540.00 19940.00 195
GBi-Net44.67 17549.24 17730.96 17847.53 19147.57 192126.09 1908.00 17776.99 19126.09 18673.50 18711.27 18430.55 18661.12 18912.58 18414.75 183
dp87.20 176113.80 1807.42 16310.50 1828.88 171298.82 1972.70 164510.35 2167.79 169172.93 1903.37 1599.16 17014.00 1813.71 1594.23 159
new_pmnet88.14 17798.62 17856.70 18398.14 19856.07 193246.79 19215.37 194148.06 19250.77 191143.13 18823.35 19062.65 19193.26 19068.71 20951.38 205
N_pmnet88.14 17798.62 17856.70 18398.14 19856.07 193246.79 19215.37 194148.06 19250.77 191143.13 18823.35 19062.65 19193.26 19068.71 20951.38 205
CANet110.62 179124.04 18170.34 18682.03 19574.27 198325.54 19825.25 197207.16 19469.28 196194.38 19127.53 19295.79 200147.76 19437.43 18940.97 199
CANet_DTU110.62 179124.04 18170.34 18682.03 19574.27 198325.54 19825.25 197207.16 19469.28 196194.38 19127.53 19295.79 200147.76 19437.43 18940.97 199
UGNet110.62 179124.04 18170.34 18682.03 19574.27 198325.54 19825.25 197207.16 19469.28 196194.38 19127.53 19295.79 200147.76 19437.43 18940.97 199
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 182133.18 18475.70 18974.28 19373.29 196284.50 19411.35 189238.58 19865.86 194255.35 20614.55 187115.69 208222.18 20831.94 18738.12 193
FMVSNet5124.76 183140.93 18576.26 191107.44 201100.17 205329.88 20127.12 203259.44 20374.30 199204.34 19430.74 19592.41 193196.98 19738.15 19236.19 186
test1124.76 183140.93 18576.26 191107.44 201100.17 205329.88 20127.12 203259.44 20374.30 199204.34 19430.74 19592.41 193196.98 19738.15 19236.19 186
FMVSNet3124.76 183140.93 18576.26 191107.44 201100.17 205329.88 20127.12 203259.44 20374.30 199204.34 19430.74 19592.41 193196.98 19738.15 19236.19 186
FMVSNet2124.76 183140.93 18576.26 191107.44 201100.17 205329.88 20127.12 203259.44 20374.30 199204.34 19430.74 19592.41 193196.98 19738.15 19236.19 186
FMVSNet1124.76 183140.93 18576.26 191107.44 201100.17 205329.88 20127.12 203259.44 20374.30 199204.34 19430.74 19592.41 193196.98 19738.15 19236.19 186
MIMVSNet1124.76 183140.93 18576.26 191107.44 201100.17 205329.88 20127.12 203259.44 20374.30 199204.34 19430.74 19592.41 193196.98 19738.15 19236.19 186
MIMVSNet124.76 183140.93 18576.26 191107.44 201100.17 205329.88 20127.12 203259.44 20374.30 199204.34 19430.74 19592.41 193196.98 19738.15 19236.19 186
DSMNet-mixed131.33 190143.00 19296.33 20199.00 20081.00 201201.00 19145.00 217335.00 21099.00 209251.00 20538.00 205110.00 207120.00 19399.00 21598.00 211
PVSNet_Blended_VisFu136.90 191155.40 19381.40 198111.00 20896.20 202407.00 20825.90 200251.60 20085.10 206240.50 20237.00 20299.90 203199.80 20440.70 20348.10 202
PVSNet_BlendedMVS136.90 191155.40 19381.40 198111.00 20896.20 202407.00 20825.90 200251.60 20085.10 206240.50 20237.00 20299.90 203199.80 20440.70 20348.10 202
PVSNet_Blended136.90 191155.40 19381.40 198111.00 20896.20 202407.00 20825.90 200251.60 20085.10 206240.50 20237.00 20299.90 203199.80 20440.70 20348.10 202
BP-MVS1202.65 194232.15 196114.16 202183.40 212141.78 212655.87 21624.69 196372.56 211109.76 210356.89 20847.15 210139.51 210284.15 21054.86 20661.20 207
FE-MVS207.10 195234.26 197125.61 203180.34 211153.23 213635.64 21530.05 210378.38 212127.68 211377.08 20948.95 211154.43 211266.67 20963.56 20769.18 208
GDP-MVS219.79 196249.11 198131.85 204187.15 213155.97 214667.31 21730.57 211398.95 213131.26 212387.86 21058.83 213164.55 212315.00 21165.03 20875.04 209
FA-MVS(test-final)261.15 197293.29 199164.72 205236.23 216199.99 219800.05 22342.35 216475.87 215155.47 213470.67 21258.49 212205.24 214319.44 21281.03 21288.93 210
DP-MVS264.78 198296.02 200171.04 207191.70 214183.96 216827.10 22478.36 228438.24 214176.64 215435.12 21165.04 215230.52 217334.02 213117.96 22398.64 212
kuosan267.89 199301.05 201168.41 206244.05 217177.28 215667.98 21865.76 219533.41 217157.79 214492.01 213104.69 228226.72 215364.47 21579.31 211101.21 213
WB-MVS316.44 200357.41 202193.51 209257.06 218213.32 222914.45 22649.03 218600.77 223186.42 217634.00 22575.03 218251.35 219411.39 21688.55 213115.87 215
SSC-MVS320.23 201364.09 203188.66 208260.78 219193.84 217975.93 23273.11 224596.72 222185.29 216589.02 21974.47 217246.01 218427.42 21994.06 214126.12 216
UWE-MVS-28327.73 202369.67 204201.90 210281.09 225210.75 220832.98 22574.67 227680.98 230198.23 218613.42 222112.56 231259.80 220418.76 217114.35 217135.15 222
testing91347.05 203389.92 205218.43 212275.92 223241.43 224923.71 22871.70 220667.65 228217.04 222629.00 223113.33 232281.39 222495.50 222115.45 219132.47 219
testing11348.86 204393.09 206216.15 211275.24 222239.53 223915.55 22772.35 221679.89 229215.75 221633.79 224118.08 233276.62 221509.56 230117.61 222132.30 218
dongtai360.45 205401.64 207236.89 215303.10 226262.16 230963.12 22972.78 222622.82 226199.37 219708.06 228130.96 236310.90 225506.46 229108.11 216137.60 223
Syy-MVS370.76 206415.60 209236.25 214310.54 227210.76 221965.13 23098.58 243746.06 235266.26 229788.85 23591.37 222364.76 233357.17 214116.42 220133.22 220
tmp_tt371.08 207412.78 208246.00 218231.00 215197.00 2181293.00 251376.00 292756.00 237609.00 27071.00 186106.00 229195.00 213102.00 192171.00 240346.00 266
UWE-MVS387.98 208438.66 211235.93 213349.32 232257.61 2281081.50 24082.45 232637.74 227257.12 226738.54 230134.25 237308.00 223531.93 232135.11 226142.17 224
myMVS_eth3d390.90 209437.44 210251.28 220310.54 227255.86 227965.13 23098.58 243746.06 235266.26 229788.85 235154.95 244364.76 233490.19 221116.42 220133.22 220
RPSCF394.81 210445.63 212242.35 216276.55 224253.63 2261207.27 24890.69 237715.56 231241.57 225684.87 226111.96 230320.02 227548.38 234133.81 225153.39 228
WB-MVSnew404.84 211458.00 213245.36 217374.70 236320.27 2381193.74 24772.90 223773.77 238238.30 223688.22 22790.05 221308.59 224532.76 233157.54 234107.21 214
testing99408.82 212462.15 214248.86 219322.45 229269.42 2311118.93 24373.26 225719.36 233262.28 227772.10 232150.98 243327.08 228601.98 238137.99 227150.07 226
testing3418.10 213469.06 215265.23 223335.69 230290.63 2331240.88 24993.72 238717.99 232215.31 220811.97 241232.41 275358.74 231458.67 220114.88 218146.32 225
myMVS_eth3d28418.40 214473.07 216254.39 221261.18 220313.04 2341172.79 24674.16 226929.18 246264.68 228745.72 231139.03 241318.91 226549.18 235121.71 224131.21 217
testing222430.52 215487.50 219259.56 222379.87 240282.69 2321138.34 24481.30 230880.86 242281.58 232834.27 243135.83 239333.22 229514.90 231140.56 228162.76 229
EG-PatchMatch MVS437.03 216493.12 220268.77 224264.80 221260.20 2291491.80 25598.00 242723.20 234238.80 224722.40 22963.10 214382.00 237629.00 242207.00 249164.10 232
ADS-MVSNet2443.33 217482.84 217324.79 236434.94 249387.73 2471110.57 24187.69 234887.02 243282.92 233779.29 23398.57 226422.76 245502.40 223162.19 238163.87 230
ADS-MVSNet443.33 217482.84 217324.79 236434.94 249387.73 2471110.57 24187.69 234887.02 243282.92 233779.29 23398.57 226422.76 245502.40 223162.19 238163.87 230
ETVMVS443.50 219498.07 221279.78 225378.05 239321.57 2391163.68 24587.12 233897.50 245269.81 231822.83 242141.20 242334.53 230568.21 237154.21 229183.26 236
MVP-Stereo473.58 220533.67 222293.33 227376.00 237318.00 2351461.00 25396.00 239835.00 240290.00 236804.00 23897.00 224383.00 239688.00 250156.00 231179.00 234
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 220533.67 222293.33 227376.00 237318.00 2351461.00 25396.00 239835.00 240290.00 236804.00 23897.00 224383.00 239688.00 250156.00 231179.00 234
testing3-2489.51 222555.88 225290.42 226362.21 234319.27 2371424.84 25288.81 236964.80 247309.62 239879.13 245174.38 251363.98 232643.82 246155.29 230188.01 237
PatchmatchNetpermissive492.52 223551.22 224316.40 234400.20 245357.90 2451277.10 250115.80 2501034.60 256315.90 240874.00 244155.10 245402.20 242629.50 243158.80 235189.10 238
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmvs501.65 224567.42 226304.33 230395.39 244356.32 2441512.04 256216.53 279994.15 249350.16 245804.16 240119.38 234380.98 236555.14 236159.87 236175.69 233
DELS-MVS514.57 225587.73 228295.12 229343.03 231328.09 2421540.48 257116.22 251988.59 248325.44 243906.22 246119.86 235365.72 235788.60 254161.09 237191.55 240
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 226581.17 227321.48 235361.02 233429.00 2511995.36 26378.48 229796.20 239283.32 235796.02 23796.78 223382.98 238636.72 244186.66 246152.46 227
gg-mvs-nofinetune594.69 227605.37 229562.67 257617.29 265500.33 255772.30 219413.12 300579.21 218552.71 264567.40 214662.54 319531.67 249503.93 225779.80 297656.02 281
SR-MVS610.10 228610.10 230610.10 262610.10 259610.10 272610.10 213610.10 324610.10 224610.10 271610.10 220610.10 307610.10 265610.10 239610.10 280610.10 278
CR-MVSNet612.36 229617.81 232596.01 260611.29 261600.33 269790.30 220513.12 315579.21 218552.71 264567.40 214662.54 319531.67 249503.93 225779.80 297656.02 281
IterMVS615.05 230691.66 233385.23 240516.40 252454.80 2521863.80 261102.10 2471142.20 258364.10 2461093.20 260135.00 238480.40 248826.90 255181.20 243220.50 244
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 231700.96 234362.78 238426.10 248409.25 2491822.69 260124.42 2621186.23 259366.85 2471079.42 258190.60 263451.78 247930.72 259181.59 244227.30 245
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 232770.84 237310.98 233391.79 243353.00 2432280.68 26599.17 2461776.79 279301.20 2381123.23 261187.34 261390.28 241620.39 241156.98 233189.66 239
ACMH+729.97 2661.38 233754.00 235383.51 239368.96 235376.38 2462483.74 27782.42 2311089.25 257333.39 2441219.68 26266.53 216573.60 262957.86 260184.14 245200.56 243
SSC-MVS3.2667.82 234787.71 238308.16 231385.94 241327.65 2401718.51 258117.00 2521942.46 284317.12 2411488.73 275183.89 252404.82 243763.70 252172.02 241192.01 241
UBG667.82 234787.71 238308.16 231385.94 241327.65 2401718.51 258117.00 2521942.46 284317.12 2411488.73 275183.89 252404.82 243763.70 252172.02 241192.01 241
Gipumacopyleft689.75 236767.00 236458.00 249613.00 264549.00 2671943.00 262187.00 2761230.00 260518.00 2611092.00 259203.00 269564.00 254892.00 258225.00 259261.00 253
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
IterMVS-LS758.94 237856.56 242466.10 250606.60 257546.80 2652309.90 266122.20 2611402.80 264463.50 2511348.20 264192.60 264574.60 2631028.60 270234.60 261276.90 255
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
new-patchmatchnet766.12 238859.03 243487.38 253595.68 254536.14 2572346.27 267142.51 2671488.08 266422.43 2481361.32 266163.65 248628.60 2671003.74 269207.61 250297.41 259
SixPastTwentyTwo773.62 239869.37 245486.35 252603.45 256547.15 2662532.14 278106.92 2491434.95 265428.08 2491360.56 265165.15 249628.96 268984.09 261209.01 251282.94 256
mvs_anonymous774.90 240882.28 246452.77 242636.50 266537.20 2582348.80 268120.30 2541504.30 267474.40 2521371.10 267186.90 254564.70 2551078.90 272219.30 252256.40 246
casdiffmvspermissive774.90 240882.28 246452.77 242636.50 266537.20 2582348.80 268120.30 2541504.30 267474.40 2521371.10 267186.90 254564.70 2551078.90 272219.30 252256.40 246
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 240882.28 246452.77 242636.50 266537.20 2582348.80 268120.30 2541504.30 267474.40 2521371.10 267186.90 254564.70 2551078.90 272219.30 252256.40 246
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 240882.28 246452.77 242636.50 266537.20 2582348.80 268120.30 2541504.30 267474.40 2521371.10 267186.90 254564.70 2551078.90 272219.30 252256.40 246
baseline1774.90 240882.28 246452.77 242636.50 266537.20 2582348.80 268120.30 2541504.30 267474.40 2521371.10 267186.90 254564.70 2551078.90 272219.30 252256.40 246
casdiffmvs_mvgpermissive774.90 240882.28 246452.77 242636.50 266537.20 2582348.80 268120.30 2541504.30 267474.40 2521371.10 267186.90 254564.70 2551078.90 272219.30 252256.40 246
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 240882.28 246452.77 242636.50 266537.20 2582348.80 268120.30 2541504.30 267474.40 2521371.10 267186.90 254564.70 2551078.90 272219.30 252256.40 246
RPMNet787.26 247829.13 240661.63 266885.90 281895.90 289455.98 211610.10 3241297.17 2611002.26 2931001.67 256655.98 317611.10 266667.90 247885.21 309477.90 275
JIA-IIPM804.30 248835.64 241710.26 271885.90 281895.90 289455.98 211668.73 3291297.17 2611002.26 2931001.67 256655.98 317756.98 272667.90 247885.21 309477.90 275
CSCG826.03 249963.29 254414.24 241421.52 247426.11 2502230.35 264179.52 2751827.44 280733.43 281933.12 248281.25 277545.23 2531800.35 289262.64 263271.38 254
PVSNet1207.94 6829.56 250937.18 253506.69 254645.55 273585.72 2682477.98 276130.52 2631578.29 275509.50 2601460.01 274194.90 265637.19 2691170.78 280267.07 265297.17 258
PatchT856.34 251860.99 244842.38 2761290.90 296880.90 287790.30 2201267.30 347579.21 218923.90 283567.40 214662.54 319990.23 280887.56 257779.80 297656.02 281
K. test v3877.74 252980.16 255570.46 2591316.85 298813.15 2842565.52 279103.78 2481509.49 274548.33 2631258.90 263219.93 274587.82 2641102.37 279196.30 247310.42 261
MVSTER890.06 2531005.91 262542.52 255736.13 278653.90 2762616.56 280145.22 2691692.10 278555.69 2671554.72 278266.25 276660.02 2701219.66 281266.84 264313.64 262
PMVScopyleft863.65 3957.08 2541054.11 263666.00 268401.00 246495.00 2543790.00 285279.00 2811607.00 277521.00 2621745.00 28090.00 2191105.00 291639.00 245415.00 276398.00 273
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ACMH993.80 5967.92 2551106.11 265553.33 256494.00 251534.00 2563581.00 283136.00 2641585.00 276478.00 2591871.00 28290.00 219839.00 2741460.00 283260.00 262287.00 257
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet_01661.03 9968.54 2561066.82 264673.70 269706.94 276695.69 2772669.02 281153.52 2712108.17 287605.54 2691679.14 279213.26 273886.75 2771236.76 282229.01 260438.67 274
OurMVSNet-221017-0999.00 257999.00 256999.00 277999.00 286999.00 291999.00 233999.00 340999.00 250999.00 286999.00 249999.00 332999.00 282999.00 262999.00 316999.00 313
EPMVS999.00 257999.00 256999.00 277999.00 286999.00 291999.00 233999.00 340999.00 250999.00 286999.00 249999.00 332999.00 282999.00 262999.00 316999.00 313
uanet_test1000.00 2591000.00 2581000.00 2801000.00 2891000.00 2941000.00 2361000.00 3431000.00 2521000.00 2891000.00 2521000.00 3351000.00 2851000.00 2651000.00 3191000.00 316
sosnet1000.00 2591000.00 2581000.00 2801000.00 2891000.00 2941000.00 2361000.00 3431000.00 2521000.00 2891000.00 2521000.00 3351000.00 2851000.00 2651000.00 3191000.00 316
USDC1000.00 2591000.00 2581000.00 2801000.00 2891000.00 2941000.00 2361000.00 3431000.00 2521000.00 2891000.00 2521000.00 3351000.00 2851000.00 2651000.00 3191000.00 316
TinyColmap1000.00 2591000.00 2581000.00 2801000.00 2891000.00 2941000.00 2361000.00 3431000.00 2521000.00 2891000.00 2521000.00 3351000.00 2851000.00 2651000.00 3191000.00 316
ACMP1246.57 71086.24 2631235.17 267639.45 263596.53 255639.91 2743904.24 286152.04 2701851.54 281566.58 2681997.95 284138.50 240938.30 2781605.46 285303.70 271340.14 264
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Patchmtry1090.75 2641198.88 266766.38 2751290.90 296485.90 2532423.98 2751267.30 3471297.17 261923.90 283923.40 2471215.54 340990.23 280667.90 247779.80 297823.02 295
test_04021110.00 2651260.00 268660.00 265900.00 284780.00 2833300.00 282210.00 2782040.00 286690.00 2761950.00 283300.00 280810.00 2731620.00 286330.00 272390.00 272
MVS_111021_LR1136.45 2661298.72 269649.64 264756.17 279726.26 2803785.94 284138.15 2662190.64 288629.63 2742064.39 285165.45 250874.83 2761678.43 288279.70 266347.82 267
ACMM1311.08 81165.06 2671332.72 270662.07 267584.90 253715.99 2794373.59 290153.99 2721880.27 282709.02 2782316.97 286188.63 262939.89 2791484.30 284302.78 270330.34 263
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++1242.93 2681411.08 271738.48 273712.71 277712.68 2784168.17 288136.50 2652276.40 289613.28 2732368.60 289161.61 2471130.38 2921964.54 292297.88 268372.39 269
MG-MVS1256.50 2691432.00 272730.00 272610.00 258760.00 2814720.00 291169.00 2731920.00 283723.00 2802510.00 292201.00 2671050.00 2891645.00 287390.00 275380.00 270
ACMMPR1296.60 2701480.82 273743.96 274899.25 283763.47 2824305.47 289143.90 2682530.94 292683.99 2752346.34 288201.65 2681098.25 2901920.59 291295.21 267370.16 268
TSAR-MVS + GP.1386.84 2711622.84 275678.81 270952.13 285840.17 2865358.21 294170.75 2742650.47 293713.54 2792394.28 290209.42 272855.56 2751854.36 290302.42 269340.71 265
FPMVS1407.00 2721495.59 2741141.23 285648.01 274893.85 2884124.00 287503.81 3143219.04 295742.72 2822498.84 291157.98 2461727.83 298832.93 256732.98 296802.00 290
DeepC-MVS_fast2190.19 121535.59 2731886.82 277481.89 251847.73 280830.16 2857943.84 310189.23 2772398.83 290691.73 2772341.13 287209.16 271230.25 2161999.25 293360.46 273385.25 271
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 2741869.33 2761025.33 2841030.00 2931023.00 2985311.00 293359.00 2903044.00 294937.00 2852892.00 293332.00 2841440.00 2952312.00 295607.00 279613.00 280
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 2752113.11 2781173.33 2881231.00 2941174.00 2996297.00 296392.00 2953356.00 2971087.00 2953082.00 294361.00 2881670.00 2972523.00 297689.00 286676.00 285
OpenMVS_ROBcopyleft1936.51 101959.51 2762224.88 2801163.39 2871253.91 2951434.22 3027065.71 300272.76 2802472.29 2911647.54 3253538.72 297200.37 2661496.48 2962575.17 298997.45 315559.48 277
CMPMVSbinary2623.62 151983.08 2772156.14 2791463.89 2981414.80 3001517.00 3045239.20 292867.40 3343310.30 2961128.70 2973489.90 296366.75 2892030.20 3092427.60 2961160.60 328844.46 298
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MVS-HIRNet2125.39 2782452.68 2811143.53 2862938.33 3411446.92 3036083.19 295391.74 2943801.71 3001202.10 2993439.72 295492.73 2981304.35 2943048.25 302676.32 285679.32 286
PLCcopyleft2858.82 162192.92 2792474.00 2821349.67 2901407.00 2991356.00 3017164.00 301475.00 3073970.00 3011237.00 3023765.00 300451.00 2951891.00 3033006.00 301791.00 302802.00 290
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVScopyleft2352.88 132263.08 2802530.89 2831459.67 2971767.00 3111591.00 3077932.00 309399.00 2963643.00 2981176.00 2983569.00 298297.00 2791927.00 3053302.00 303693.00 291861.00 299
PCF-MVS4335.85 202272.23 2812597.03 2841297.84 2891701.20 3031332.37 3008105.11 311451.45 3034031.84 3021099.10 2963966.50 301467.45 2961734.05 2992701.68 300848.94 306827.11 296
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x4202340.81 2822643.03 2851434.14 2912025.55 3201629.36 3116542.40 297412.49 2974219.70 3041547.02 3134328.52 303650.74 3141798.26 3003333.17 304727.72 293874.79 300
CHOSEN 1792x26882340.81 2822643.03 2851434.14 2912025.55 3201629.36 3116542.40 297412.49 2974219.70 3041547.02 3134328.52 303650.74 3141798.26 3003333.17 304727.72 293874.79 300
HyFIR lowres test2340.81 2822643.03 2851434.14 2912025.55 3201629.36 3116542.40 297412.49 2974219.70 3041547.02 3134328.52 303650.74 3141798.26 3003333.17 304727.72 293874.79 300
3Dnovator2482.06 142531.17 2852839.56 2881606.00 2991732.00 3071557.00 3068375.00 313483.00 3084370.00 3071371.00 3084200.00 302350.00 2862207.00 3103877.00 310798.00 3031054.00 320
tpmrst2557.50 2862847.12 2891688.66 3021784.08 3121778.25 3217445.50 307342.14 2874471.54 3081534.55 3124382.10 306530.10 3022361.21 3134142.81 314991.22 314926.51 305
AdaColmapbinary2570.77 2872948.61 2901437.24 2941873.64 3131526.60 3057819.77 308373.97 2914970.45 3111479.29 3104648.46 308525.80 3011904.97 3044150.42 315695.69 292880.14 303
SD-MVS2654.53 2883055.56 2931451.45 2951725.60 3041598.35 3089203.30 317315.86 2845016.02 3131363.85 3054894.28 311387.23 2902023.43 3063973.88 311620.04 282732.56 287
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 2893021.57 2911618.12 3002377.67 3271751.39 3208915.70 316567.44 3224569.74 3091236.84 3014615.63 307513.23 2992291.32 3113515.48 307882.39 308811.66 292
LF4IMVS2699.50 2903049.67 2921649.00 3011755.00 3081689.00 3158330.00 312464.00 3054997.00 3121528.00 3114763.00 310568.00 3052296.00 3124215.00 316827.00 305962.00 310
EGC-MVSNET2819.75 2913096.89 2941988.33 3123105.00 3422241.00 3329480.00 321640.00 3284209.00 3031583.00 3184740.00 309547.00 3042797.00 3252644.00 299924.00 312927.00 306
Vis-MVSNetpermissive2877.42 2923170.00 2951999.67 3131673.00 3022042.00 3308593.00 314474.00 3066452.00 3261268.00 3035125.00 314339.00 2853004.00 3274222.00 317384.00 274953.00 309
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2891.50 2933284.78 2961711.67 3031954.00 3141655.00 31410117.00 330445.00 3025102.00 3161375.00 3095126.00 315351.00 2872638.00 3234402.00 318691.00 289842.00 297
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 2943537.00 2971975.67 3102310.00 3252005.00 32910100.00 329626.00 3275753.00 3171803.00 3285179.00 316487.00 2972622.00 3214550.00 3191025.00 3231300.00 327
DeepC-MVS3917.13 193155.06 2953601.83 2981814.72 3082515.52 3301941.53 32510432.50 331589.42 3234789.45 3101298.65 3047677.31 332578.35 3062589.53 3173611.78 309923.52 311913.10 304
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 2963762.89 2991783.33 3061756.00 3091806.00 32212319.00 333307.00 2826319.00 3241557.00 3165763.00 317302.00 2812609.00 3195061.00 322482.00 277935.00 307
OPM-MVS3268.00 2963762.89 2991783.33 3061756.00 3091806.00 32212319.00 333307.00 2826319.00 3241557.00 3165763.00 317302.00 2812609.00 3195061.00 322482.00 277935.00 307
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TAPA-MVS6309.84 213374.90 2983806.99 3012078.63 3152535.47 3312499.25 3408816.16 315456.05 3046255.60 3231664.52 3266704.88 322629.95 3122768.38 3246343.93 336856.35 307968.25 311
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 2994065.89 3061914.35 3092349.10 3262141.30 33112362.70 335417.60 3016717.80 3301759.40 3276497.50 320518.18 3002629.38 3225164.32 324806.40 304972.38 312
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
tpm23617.85 3004007.23 3022449.73 3202012.71 3161698.05 3167351.19 303869.29 3356132.06 3191588.28 3198007.42 3351281.09 3413888.11 3397472.04 3401351.00 3301763.02 336
tpm cat13617.85 3004007.23 3022449.73 3202012.71 3161698.05 3167351.19 303869.29 3356132.06 3191588.28 3198007.42 3351281.09 3413888.11 3397472.04 3401351.00 3301763.02 336
CostFormer3617.85 3004007.23 3022449.73 3202012.71 3161698.05 3167351.19 303869.29 3356132.06 3191588.28 3198007.42 3351281.09 3413888.11 3397472.04 3401351.00 3301763.02 336
tpm3617.85 3004007.23 3022449.73 3202012.71 3161698.05 3167351.19 303869.29 3356132.06 3191588.28 3198007.42 3351281.09 3413888.11 3397472.04 3401351.00 3301763.02 336
MVS_111021_HR3742.80 3044330.34 3071980.20 3112484.31 3292259.52 33314973.80 340515.90 3216500.13 3271949.21 3306146.89 319535.66 3032593.66 3184880.76 321986.37 3131087.43 321
MAR-MVS3973.16 3054387.92 3082728.86 3263345.27 3433341.39 34711403.90 332798.76 3326555.62 3292569.29 3406514.86 321834.97 3263237.43 3365891.08 3271577.54 3351607.76 328
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 3064731.32 3111730.42 3042191.51 3231949.98 32616473.90 342355.33 2887172.90 3351622.98 3237879.79 333434.33 2932428.11 3155762.12 325689.04 287813.18 293
DVP-MVScopyleft3981.10 3064731.32 3111730.42 3042191.51 3231949.98 32616473.90 342355.33 2887172.90 3351622.98 3237879.79 333434.33 2932428.11 3155762.12 325689.04 287813.18 293
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 3084533.33 3092400.00 3192400.00 3282400.00 3347200.00 3022400.00 3517200.00 3372400.00 3397200.00 3272400.00 3452400.00 3147200.00 3382400.00 3422400.00 341
SED-MVS4062.74 3094671.13 3102237.56 3162643.17 3322465.14 33513996.40 337493.26 3097619.38 3382107.24 3317416.93 329610.24 3093088.29 3326075.14 3321078.39 3241159.26 322
MSP-MVS4296.20 3104911.12 3142451.45 3242725.60 3372598.35 34116203.30 341515.86 3177016.02 3312363.85 3356894.28 323887.23 3273023.43 3285973.88 3281620.04 3361732.56 332
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 3114906.56 3132803.67 3273844.00 3443116.00 34613454.00 336901.00 3396511.00 3282794.00 3417365.00 328754.00 3233634.00 3376622.00 3371914.00 3411661.00 331
OMC-MVS5022.26 3125748.82 3152842.58 3284905.27 3463101.27 34514933.60 339812.24 3339278.40 3422959.29 3428800.17 3391092.24 3393806.30 3387568.54 3441389.60 3341620.18 330
CLD-MVS7338.25 3138341.00 3164330.00 3294902.00 3454991.00 34823318.00 349728.00 33114437.00 3524378.00 34413379.00 347824.00 3255708.00 34311429.00 3531674.00 3402291.00 340
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 3148776.23 3174410.16 3305298.55 3475631.53 34934329.90 3511504.57 34911554.00 3513896.41 34315111.00 348812.19 3245985.63 3443516.20 3082963.23 3431613.31 329
ZNCC-MVS9999.00 3159999.00 3189999.00 3329999.00 3509999.00 3529999.00 3229999.00 3559999.00 3439999.00 3479999.00 3409999.00 3489999.00 3459999.00 3459999.00 3469999.00 344
patch_mono-210000.00 31610000.00 31910000.00 33310000.00 35110000.00 35310000.00 32310000.00 35610000.00 34410000.00 34810000.00 34110000.00 34910000.00 34610000.00 34610000.00 34710000.00 345
dcpmvs_210000.00 31610000.00 31910000.00 33310000.00 35110000.00 35310000.00 32310000.00 35610000.00 34410000.00 34810000.00 34110000.00 34910000.00 34610000.00 34610000.00 34710000.00 345
DCPMVS10000.00 31610000.00 31910000.00 33310000.00 35110000.00 35310000.00 32310000.00 35610000.00 34410000.00 34810000.00 34110000.00 34910000.00 34610000.00 34610000.00 34710000.00 345
UA-Net10000.00 31610000.00 31910000.00 33310000.00 35110000.00 35310000.00 32310000.00 35610000.00 34410000.00 34810000.00 34110000.00 34910000.00 34610000.00 34610000.00 34710000.00 345
uncertanet10000.00 31610000.00 31910000.00 33310000.00 35110000.00 35310000.00 32310000.00 35610000.00 34410000.00 34810000.00 34110000.00 34910000.00 34610000.00 34610000.00 34710000.00 345
uanet10000.00 31610000.00 31910000.00 33310000.00 35110000.00 35310000.00 32310000.00 35610000.00 34410000.00 34810000.00 34110000.00 34910000.00 34610000.00 34610000.00 34710000.00 345
MVEpermissive10021.00 2210550.67 32210002.44 32512195.33 3396242.00 3488768.00 35130896.00 3504451.00 35210331.00 3506247.00 34518296.00 349283.00 27821484.00 3537364.00 3395912.00 3456334.00 343
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 32311772.44 3267637.33 3319120.00 3498206.00 35022252.00 3482010.00 35024984.00 3537458.00 34622596.00 3502940.00 34610260.00 35211100.00 3523492.00 3444446.00 342
LTVRE_ROB20565.47 2323378.08 32422805.00 32725097.33 34015500.00 35719201.00 35942712.00 3526055.00 35338388.00 35416926.00 35438534.00 3517071.00 34735653.00 35429475.00 35410584.00 35320438.00 352
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 32534443.44 32827094.33 34129249.00 35825246.00 36051144.00 3536705.00 35442886.00 35522888.00 35548534.00 35213263.00 35537507.00 35579298.00 35516024.00 35418530.00 351
114514_t99999.00 32699999.00 32999999.00 34299999.00 35999999.00 36199999.00 35499999.00 36299999.00 35699999.00 35699999.00 35399999.00 35699999.00 35699999.00 35699999.00 35599999.00 353
PHI-MVS99999.00 32699999.00 32999999.00 34299999.00 35999999.00 36199999.00 35499999.00 36299999.00 35699999.00 35699999.00 35399999.00 35699999.00 35699999.00 35699999.00 35599999.00 353
MP-MVS-pluss833433.63 3281111219.60 33475.70 18974.28 19373.29 196284.50 19411.35 189238.58 19865.86 194255.35 20614.55 187115.69 20810000000.00 36131.94 18738.12 193
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MTAPA833442.10 3291111233.77 33567.09 18565.59 19264.81 195284.50 19410000000.00 367219.97 19759.62 193229.89 20112.72 186103.00 206203.67 20727.93 18633.46 185
XVG-OURS-SEG-HR999999.00 330999999.00 331999999.00 344999999.00 361999999.00 363999999.00 356999999.00 364999999.00 358999999.00 358999999.00 355999999.00 358999999.00 358999999.00 358999999.00 357999999.00 355
XVG-OURS999999.00 330999999.00 331999999.00 344999999.00 361999999.00 363999999.00 356999999.00 364999999.00 358999999.00 358999999.00 355999999.00 358999999.00 358999999.00 358999999.00 357999999.00 355
XVG-ACMP-BASELINE999999.00 330999999.00 331999999.00 344999999.00 361999999.00 363999999.00 356999999.00 364999999.00 358999999.00 358999999.00 355999999.00 358999999.00 358999999.00 358999999.00 357999999.00 355
MED-MVS9168445.40 3338891260.53 33610000000.00 34710000000.00 36410000000.00 36621344.80 34410000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
TestfortrainingZip a9168445.40 3338891260.53 33610000000.00 34710000000.00 36410000000.00 36621344.80 34410000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
mamba_040810000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
icg_test_0407_210000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
SSM_0407210000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
SSM_040710000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
IMVS_040710000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
IMVS_040410000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
SSM_040410000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
IMVS_040310000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
SD_040310000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
ME-MVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
NormalMVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
lecture10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
SymmetryMVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
Elysia10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
StellarMVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
KinetiMVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
LuminaMVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
VortexMVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
AstraMVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
guyue10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
sc_t110000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
tt0320-xc10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
tt032010000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
MVSMamba_PlusPlus10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
MGCFI-Net10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
sasdasda10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
dmvs_re10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
SDMVSNet10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
dmvs_testset10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
sd_testset10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
balanced_conf0310000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
MonoMVSNet10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
test250610000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
test111110000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
ECVR-MVScopyleft10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
test_blank10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
tt080510000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
Anonymous2024052110000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
cl2210000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
miper_ehance_all_eth10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
miper_enhance_ethall10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
cl____10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
DIV-MVS_self_test10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
eth_miper_zixun_eth10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
ET-MVSNet_ETH3D10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
UniMVSNet_ETH3D10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
miper_lstm_enhance10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
D2MVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
test_yl10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
thisisatest053010000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
Anonymous2024052910000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
Anonymous20240521110000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
DCV-MVSNet10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
tttt051710000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
our_test_310000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
thisisatest051510000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
ppachtmachnet_test10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
SMA-MVScopyleft10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
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 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
tfpnnormal10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
tfpn200view910000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
c3_l10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
IterMVS-SCA-FT10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
pmmvs610000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
pmmvs510000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
Anonymous2023121110000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
pmmvs-eth3d10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
Anonymous2023120610000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
SCA10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
Patchmatch-test10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
Patchmatch-RL test10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
canonicalmvs10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
anonymousdsp10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
FIs10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
FC-MVSNet-test10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
sosnet-low-res10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
AllTest10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
RRT-MVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
mamv410000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
HPM-MVS++copyleft10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
XVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
pm-mvs110000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
X-MVStestdata10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
APDe-MVScopyleft10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
pmmvs410000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
test-LLR10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
TESTMET0.1,110000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
test-mter10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
testgi10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
test20.0310000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
thres600view710000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
MP-MVScopyleft10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
thres40010000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
test12310000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
thres20010000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
test0.0.03 110000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
pmmvs310000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
EMVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
E-PMN10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
PGM-MVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
MCST-MVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
MVS_Test10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
PMMVS210000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
PM-MVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
HQP_MVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
mPP-MVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
mvsmamba10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
HPM-MVS_fast10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
HPM-MVScopyleft10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
EPNet_dtu10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
NCCC10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
CP-MVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
CPTT-MVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
HQP-MVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
IS-MVSNet10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
PAPM_NR10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
PAPR10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
Vis-MVSNet (Re-imp)10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
PatchMatch-RL10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
TDRefinement10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
EPP-MVSNet10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
PMMVS10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
PAPM10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
ACMMPcopyleft10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
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 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
wuyk23d10000000.00 33510000000.00 33810000000.00 34710000000.00 36410000000.00 36610000000.00 35910000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
APD-MVScopyleft1000000000.00 4671000000000.00 4701000000000.00 4841000000000.00 5091000000000.00 5091000000000.00 4961000000000.00 5091000000000.00 5021000000000.00 5031000000000.00 5001000000000.00 5041000000000.00 5031000000000.00 5021000000000.00 5011000000000.00 499
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
MED-MVS test10000000.00 34710000000.00 36410000000.00 36621344.80 34410000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36010000000.00 358
TestfortrainingZip21344.80 344
WAC-MVS248.46 225422.23 218
FOURS12643.17 3322465.14 33513996.40 337493.26 3097619.38 3382107.24 331
MSC_two_6792asdad2237.56 3162643.17 3322465.14 335493.26 3093088.29 3326075.14 3321078.39 3241159.26 322
PC_three_14527619.38 3382107.24 3317416.93 329610.24 3093088.29 3326075.14 3321078.39 3241159.26 322
No_MVS2237.56 3162643.17 3322465.14 335493.26 3093088.29 3326075.14 3321078.39 3241159.26 322
test_one_06012643.17 3322465.14 335493.26 3097619.38 3382107.24 3317416.93 329610.24 309
eth-test21.42 118
eth-test10000000.00 364
ZD-MVS1584.00 3011821.00 324378.00 2933721.00 2991231.00 3001833.00 281321.00 2831224.00 2932103.00 294692.00 290
RE-MVS-def610.10 230610.10 259610.10 272610.10 213610.10 324610.10 224610.10 271610.10 220610.10 307610.10 239610.10 280610.10 278
IU-MVS2725.60 3372598.35 341515.86 3177016.02 3312363.85 3355973.88 3281620.04 3361732.56 332
OPU-MVS2451.45 3242725.60 3372598.35 3419203.30 3176894.28 323887.23 3273023.43 3285973.88 3281620.04 3361732.56 332
test_241102_TWO515.86 3177016.02 3312363.85 3356894.28 323887.23 3273023.43 3285973.88 3281620.04 3361732.56 332
test_241102_ONE2725.60 3372598.35 341515.86 3177016.02 3312363.85 3356894.28 323887.23 3273023.43 328
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 3131363.85 3054894.28 311387.23 2902023.43 3063973.88 311620.04 282732.56 287
test_0728_SECOND1451.45 2951725.60 3041598.35 3089203.30 317315.86 2842023.43 3063973.88 311620.04 282732.56 287
test07261725.60 3041598.35 3089203.30 317315.86 2845016.02 3131363.85 3054894.28 311387.23 290
GSMVS10000000.00 358
test_part210000000.00 36410000000.00 36610000000.00 361
sam_mvs110000000.00 36110000000.00 358
sam_mvs10000000.00 361
ambc999.00 277999.00 286999.00 291999.00 233999.00 340999.00 286999.00 249999.00 332999.00 282999.00 262999.00 316999.00 313
MTGPAbinary10000000.00 367
test_post110000000.00 35910000000.00 35810000000.00 36110000000.00 36110000000.00 361
test_post10000000.00 35810000000.00 36110000000.00 361
patchmatchnet-post10000000.00 35810000000.00 36110000000.00 361
GG-mvs-BLEND596.01 260611.29 261600.33 269790.30 220513.12 315552.71 264567.40 214662.54 319531.67 249503.93 225779.80 297656.02 281
MTMP10000000.00 35910000000.00 367
gm-plane-assit611.29 261600.33 269579.21 218567.40 214531.67 249503.93 225
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 34710000000.00 36410000000.00 36610000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
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 36410000000.00 366
plane_prior610000000.00 36410000000.00 36610000000.00 361
plane_prior510000000.00 36710000000.00 36110000000.00 36110000000.00 36010000000.00 358
plane_prior410000000.00 358
plane_prior310000000.00 36610000000.00 36110000000.00 361
plane_prior210000000.00 35910000000.00 361
plane_prior110000000.00 364
plane_prior1.00 1122.00 1502.00 1512.00 149
n214.20 192
nn1.42 120
door-mid1.42 120
lessismore_v0569.20 258667.25 275644.68 27596.45 241428.86 2501514.17 277204.21 270756.58 2711061.60 271197.79 248306.34 260
LGP-MVS_train10000000.00 34710000000.00 36410000000.00 36610000000.00 36710000000.00 36110000000.00 36110000000.00 35810000000.00 36110000000.00 36110000000.00 36110000000.00 36010000000.00 358
test111.00 113
door99.00 245
HQP5-MVS10000000.00 366
HQP-NCC10000000.00 36410000000.00 35910000000.00 36110000000.00 361
ACMP_Plane10000000.00 36410000000.00 35910000000.00 36110000000.00 361
BP-MVS10000000.00 361
HQP4-MVS10000000.00 36110000000.00 36110000000.00 358
HQP3-MVS10000000.00 36710000000.00 360
HQP2-MVS10000000.00 361
NP-MVS10000000.00 36410000000.00 36610000000.00 358
MDTV_nov1_ep13_2view9.99 1729.99 1709.99 1719.99 1709.99 1729.99 1689.99 171
MDTV_nov1_ep139.99 1589.99 1719.99 1729.99 1709.99 1789.99 1719.99 1709.99 1679.99 1729.99 1719.99 1689.99 172
ACMMP++_ref10000000.00 360
ACMMP++10000000.00 360
Test By Simon990.00 331
ITE_SJBPF2014.00 3141998.00 3151992.00 328701.00 3305989.00 3181812.00 3293612.00 299650.00 3132852.00 3264601.00 3201195.00 3291198.00 326
DeepMVS_CXcopyleft1.00 1051.00 1121.00 1121.00 1131.00 1121.00 1111.00 1091.00 1111.00 1121.00 1101.00 1101.00 110