High-resolution multi-view benchmark

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

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

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

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

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




Method Infoallhigh-res
multi-view		indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
fmvsm_l_mol_unc0.5_10.00 10.00 10.00 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
onestephybrid010.00 10.00 10.00 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
viewmambapermissive0.00 10.00 10.00 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
hybridnocas070.00 10.00 10.00 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
Casviewmambapermissive0.00 10.00 10.00 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
dtuonlycased0.00 10.00 10.00 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
dtuonly0.00 10.00 10.00 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
dtuplus0.00 10.00 10.00 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
hybridcas0.00 10.00 10.00 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
hybrid0.00 10.00 10.00 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
casdiffseed4146921470.00 10.00 10.00 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
gbinet_0.2-2-1-0.020.00 10.00 10.00 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
0.3-1-1-0.0150.00 10.00 10.00 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
0.4-1-1-0.10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
0.4-1-1-0.20.00 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
wanda-best-256-5120.00 10.00 10.00 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
usedtu_dtu_shiyan20.00 10.00 10.00 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
usedtu_dtu_shiyan10.00 10.00 10.00 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
blended_shiyan80.00 10.00 10.00 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
E5new0.00 10.00 10.00 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-blended-shiyan70.00 10.00 10.00 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
E6new0.00 10.00 10.00 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
blended_shiyan60.00 10.00 10.00 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
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
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
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
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
train_agg0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
agg_prior0.00 10.00 10.00 10.00 10.00 1
HFP-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
region2R0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_prior0.00 10.00 10.00 10.00 10.00 10.00 1
新几何10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
旧先验10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test2220.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
13140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
QAPM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
h-mvs330.30 930.30 940.30 980.30 1050.30 1050.30 1050.30 1060.30 1050.30 1040.30 1020.30 1040.30 1050.30 1030.30 1030.30 103
hse-mvs20.30 930.30 940.30 980.30 1050.30 1050.30 1050.30 1060.30 1050.30 1040.30 1020.30 1040.30 1050.30 1030.30 1030.30 103
CL-MVSNet_self_test0.30 930.30 940.30 980.30 1050.30 1050.30 1050.30 1060.30 1050.30 1040.30 1020.30 1040.30 1050.30 1030.30 1030.30 103
AUN-MVS0.30 930.30 940.30 980.30 1050.30 1050.30 1050.30 1060.30 1050.30 1040.30 1020.30 1040.30 1050.30 1030.30 1030.30 103
LCM-MVSNet0.37 970.36 980.37 1020.37 1090.37 1090.37 1090.32 1100.37 1090.37 1080.37 1060.37 1080.37 1090.37 1070.37 1070.37 107
v1441920.40 980.40 990.40 1030.40 1100.40 1100.40 1100.40 1120.40 1100.40 1090.40 1070.40 1090.40 1100.40 1080.40 1080.40 108
v19219200.40 980.40 990.40 1030.40 1100.40 1100.40 1100.40 1120.40 1100.40 1090.40 1070.40 1090.40 1100.40 1080.40 1080.40 108
v11920.40 980.40 990.40 1030.40 1100.40 1100.40 1100.40 1120.40 1100.40 1090.40 1070.40 1090.40 1100.40 1080.40 1080.40 108
v11440.40 980.40 990.40 1030.40 1100.40 1100.40 1100.40 1120.40 1100.40 1090.40 1070.40 1090.40 1100.40 1080.40 1080.40 108
v1480.40 980.40 990.40 1030.40 1100.40 1100.40 1100.40 1120.40 1100.40 1090.40 1070.40 1090.40 1100.40 1080.40 1080.40 108
v7n0.40 980.40 990.40 1030.40 1100.40 1100.40 1100.40 1120.40 1100.40 1090.40 1070.40 1090.40 1100.40 1080.40 1080.40 108
v12400.40 980.40 990.40 1030.40 1100.40 1100.40 1100.40 1120.40 1100.40 1090.40 1070.40 1090.40 1100.40 1080.40 1080.40 108
v80.40 980.40 990.40 1030.40 1100.40 1100.40 1100.40 1120.40 1100.40 1090.40 1070.40 1090.40 1100.40 1080.40 1080.40 108
v100.40 980.40 990.40 1030.40 1100.40 1100.40 1100.40 1120.40 1100.40 1090.40 1070.40 1090.40 1100.40 1080.40 1080.40 108
v2v4820.40 980.40 990.40 1030.40 1100.40 1100.40 1100.40 1120.40 1100.40 1090.40 1070.40 1090.40 1100.40 1080.40 1080.40 108
V420.40 980.40 990.40 1030.40 1100.40 1100.40 1100.40 1120.40 1100.40 1090.40 1070.40 1090.40 1100.40 1080.40 1080.40 108
GA-MVS0.40 980.40 990.40 1030.40 1100.40 1100.40 1100.40 1120.40 1100.40 1090.40 1070.40 1090.40 1100.40 1080.40 1080.40 108
Fast-Effi-MVS+0.41 1100.40 990.41 1150.41 1220.41 1220.41 1220.35 1110.41 1220.41 1210.41 1190.41 1210.41 1220.41 1200.41 1200.41 120
Fast-Effi-MVS+-dtu0.44 1110.44 1120.44 1160.44 1230.44 1230.44 1230.44 1240.44 1230.44 1220.44 1200.44 1220.44 1230.44 1210.44 1210.44 121
Effi-MVS+0.58 1120.56 1130.62 1190.53 1240.62 1260.53 1240.53 1250.53 1240.62 1250.62 1230.53 1230.62 1260.62 1230.53 1220.62 124
KD-MVS_self_test0.60 1140.60 1140.60 1180.60 1250.60 1250.60 1260.60 1260.60 1250.60 1240.60 1220.60 1240.60 1250.60 1220.60 1240.60 123
EIA-MVS0.62 1150.62 1160.62 1190.62 1260.62 1260.62 1270.62 1270.62 1260.62 1250.62 1230.62 1250.62 1260.62 1230.62 1250.62 124
ETV-MVS0.62 1150.62 1160.62 1190.62 1260.62 1260.62 1270.62 1270.62 1260.62 1250.62 1230.62 1250.62 1260.62 1230.62 1250.62 124
CS-MVS0.62 1150.62 1160.62 1190.62 1260.62 1260.62 1270.62 1270.62 1260.62 1250.62 1230.62 1250.62 1260.62 1230.62 1250.62 124
SPE-MVS-test0.62 1150.62 1160.62 1190.62 1260.62 1260.62 1270.62 1270.62 1260.62 1250.62 1230.62 1250.62 1260.62 1230.62 1250.62 124
EC-MVSNet0.62 1150.62 1160.62 1190.62 1260.62 1260.62 1270.62 1270.62 1260.62 1250.62 1230.62 1250.62 1260.62 1230.62 1250.62 124
Effi-MVS+-dtu0.59 1130.61 1150.53 1170.68 1310.53 1240.53 1240.68 1320.68 1310.53 1230.53 1210.68 1300.53 1240.68 1290.53 1220.53 122
CDS-MVSNet0.88 1200.88 1210.88 1250.88 1320.88 1320.88 1320.88 1330.88 1320.88 1310.88 1290.88 1310.88 1320.88 1300.88 1300.88 130
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 1200.88 1210.88 1250.88 1320.88 1320.88 1320.88 1330.88 1320.88 1310.88 1290.88 1310.88 1320.88 1300.88 1300.88 130
LCM-MVSNet-Re0.89 1220.89 1230.89 1270.89 1340.89 1340.89 1340.89 1350.89 1340.89 1330.89 1310.89 1330.89 1340.89 1320.89 1320.89 132
DeepMVS_CXcopyleft1.00 1281.00 1351.00 1351.00 1361.00 1351.00 1341.00 1321.00 1341.00 1351.00 1331.00 1331.00 133
MDA-MVSNet-bldmvs1.20 1231.20 1241.20 1291.20 1361.20 1371.20 1351.20 1381.20 1361.20 1351.20 1331.20 1351.20 1361.20 1341.20 1341.20 134
YYNet11.20 1231.20 1241.20 1291.20 1361.20 1371.20 1351.20 1381.20 1361.20 1351.20 1331.20 1351.20 1361.20 1341.20 1341.20 134
MDA-MVSNet_test_wron1.20 1231.20 1241.20 1291.20 1361.20 1371.20 1351.20 1381.20 1361.20 1351.20 1331.20 1351.20 1361.20 1341.20 1341.20 134
KD-MVS_2432*16001.30 1261.30 1271.30 1321.30 1391.30 1401.30 1381.30 1411.30 1391.30 1381.30 1361.30 1381.30 1391.30 1371.30 1371.30 137
miper_refine_blended1.30 1261.30 1271.30 1321.30 1391.30 1401.30 1381.30 1411.30 1391.30 1381.30 1361.30 1381.30 1391.30 1371.30 1371.30 137
eth-test21.42 141
EI-MVSNet-UG-set1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
EI-MVSNet-Vis-set1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
EI-MVSNet1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
Regformer1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
CVMVSNet1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
EU-MVSNet1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
PS-CasMVS1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
UniMVSNet_NR-MVSNet1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
PEN-MVS1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
TransMVSNet (Re)1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
DTE-MVSNet1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
DU-MVS1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
UniMVSNet (Re)1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
CP-MVSNet1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
WR-MVS_H1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
WR-MVS1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
NR-MVSNet1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
Baseline_NR-MVSNet1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
TranMVSNet+NR-MVSNet1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
MVSFormer1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
jason1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
jason: jason.
lupinMVS1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
test_djsdf1.42 1281.42 1291.42 1341.42 1411.42 1421.42 1401.42 1431.42 1411.42 1401.42 1381.42 1401.42 1411.42 1391.42 1391.42 139
reproduce_monomvs1.48 1511.48 1521.48 1571.48 1651.48 1651.48 1631.48 1681.48 1641.48 1631.48 1611.48 1631.48 1641.48 1621.48 1621.48 162
mmtdpeth1.48 1511.48 1521.48 1571.48 1651.48 1651.48 1631.48 1681.48 1641.48 1631.48 1611.48 1631.48 1641.48 1621.48 1621.48 162
reproduce_model1.48 1511.48 1521.48 1571.48 1651.48 1651.48 1631.48 1681.48 1641.48 1631.48 1611.48 1631.48 1641.48 1621.48 1621.48 162
reproduce-ours1.48 1511.48 1521.48 1571.48 1651.48 1651.48 1631.48 1681.48 1641.48 1631.48 1611.48 1631.48 1641.48 1621.48 1621.48 162
our_new_method1.48 1511.48 1521.48 1571.48 1651.48 1651.48 1631.48 1681.48 1641.48 1631.48 1611.48 1631.48 1641.48 1621.48 1621.48 162
mmdepth1.48 1511.48 1521.48 1571.48 1651.48 1651.48 1631.48 1681.48 1641.48 1631.48 1611.48 1631.48 1641.48 1621.48 1621.48 162
monomultidepth1.48 1511.48 1521.48 1571.48 1651.48 1651.48 1631.48 1681.48 1641.48 1631.48 1611.48 1631.48 1641.48 1621.48 1621.48 162
mvs5depth1.48 1511.48 1521.48 1571.48 1651.48 1651.48 1631.48 1681.48 1641.48 1631.48 1611.48 1631.48 1641.48 1621.48 1621.48 162
MVStest11.48 1511.48 1521.48 1571.48 1651.48 1651.48 1631.48 1681.48 1641.48 1631.48 1611.48 1631.48 1641.48 1621.48 1621.48 162
ttmdpeth1.48 1511.48 1521.48 1571.48 1651.48 1651.48 1631.48 1681.48 1641.48 1631.48 1611.48 1631.48 1641.48 1621.48 1621.48 162
alignmvs2.00 1612.00 1622.00 1672.00 1752.00 1752.00 1732.00 1782.00 1742.00 1732.00 1712.00 1732.00 1742.00 1722.00 1722.00 172
nrg0302.00 1612.00 1622.00 1672.00 1752.00 1752.00 1732.00 1782.00 1742.00 1732.00 1712.00 1732.00 1742.00 1722.00 1722.00 172
LFMVS2.00 1612.00 1622.00 1672.00 1752.00 1752.00 1732.00 1782.00 1742.00 1732.00 1712.00 1732.00 1742.00 1722.00 1722.00 172
VDD-MVS2.00 1612.00 1622.00 1672.00 1752.00 1752.00 1732.00 1782.00 1742.00 1732.00 1712.00 1732.00 1742.00 1722.00 1722.00 172
VDDNet2.00 1612.00 1622.00 1672.00 1752.00 1752.00 1732.00 1782.00 1742.00 1732.00 1712.00 1732.00 1742.00 1722.00 1722.00 172
VPNet2.00 1612.00 1622.00 1672.00 1752.00 1752.00 1732.00 1782.00 1742.00 1732.00 1712.00 1732.00 1742.00 1722.00 1722.00 172
VNet2.00 1612.00 1622.00 1672.00 1752.00 1752.00 1732.00 1782.00 1742.00 1732.00 1712.00 1732.00 1742.00 1722.00 1722.00 172
VPA-MVSNet2.00 1612.00 1622.00 1672.00 1752.00 1752.00 1732.00 1782.00 1742.00 1732.00 1712.00 1732.00 1742.00 1722.00 1722.00 172
cascas2.00 1612.00 1622.00 1672.00 1752.00 1752.00 1732.00 1782.00 1742.00 1732.00 1712.00 1732.00 1742.00 1722.00 1722.00 172
UnsupCasMVSNet_eth5.90 1705.90 1715.90 1765.90 1845.90 1845.90 1835.90 1935.90 1845.90 1825.90 1805.90 1855.90 1835.90 1815.90 1855.90 184
UnsupCasMVSNet_bld5.90 1705.90 1715.90 1765.90 1845.90 1845.90 1835.90 1935.90 1845.90 1825.90 1805.90 1855.90 1835.90 1815.90 1855.90 184
WTY-MVS5.90 1705.90 1715.90 1765.90 1845.90 1845.90 1835.90 1935.90 1845.90 1825.90 1805.90 1855.90 1835.90 1815.90 1855.90 184
HY-MVS5.90 15.90 1705.90 1715.90 1765.90 1845.90 1845.90 1835.90 1935.90 1845.90 1825.90 1805.90 1855.90 1835.90 1815.90 1855.90 184
sss5.90 1705.90 1715.90 1765.90 1845.90 1845.90 1835.90 1935.90 1845.90 1825.90 1805.90 1855.90 1835.90 1815.90 1855.90 184
Test_1112_low_res5.90 1705.90 1715.90 1765.90 1845.90 1845.90 1835.90 1935.90 1845.90 1825.90 1805.90 1855.90 1835.90 1815.90 1855.90 184
1112_ss5.90 1705.90 1715.90 1765.90 1845.90 1845.90 1835.90 1935.90 1845.90 1825.90 1805.90 1855.90 1835.90 1815.90 1855.90 184
ab-mvs-re5.90 1705.90 1715.90 1765.90 1845.90 1845.90 1835.90 1935.90 1845.90 1825.90 1805.90 1855.90 1835.90 1815.90 1855.90 184
ab-mvs5.90 1705.90 1715.90 1765.90 1845.90 1845.90 1835.90 1935.90 1845.90 1825.90 1805.90 1855.90 1835.90 1815.90 1855.90 184
CDPH-MVS6.66 1796.66 1806.66 1856.66 1936.66 1936.66 1926.66 2026.66 1936.66 1916.66 1896.66 1946.66 1926.66 1906.66 1946.66 193
MDTV_nov1_ep139.99 1819.99 1949.99 1959.99 1939.99 2089.99 1949.99 1939.99 1909.99 2009.99 1949.99 1919.99 197
xiu_mvs_v1_base_debu10.28 18010.28 18210.28 18710.28 19510.28 19710.28 19510.28 20910.28 19610.28 19510.28 19110.28 20310.28 19510.28 19310.28 19810.28 195
xiu_mvs_v2_base10.28 18010.28 18210.28 18710.28 19510.28 19710.28 19510.28 20910.28 19610.28 19510.28 19110.28 20310.28 19510.28 19310.28 19810.28 195
xiu_mvs_v1_base10.28 18010.28 18210.28 18710.28 19510.28 19710.28 19510.28 20910.28 19610.28 19510.28 19110.28 20310.28 19510.28 19310.28 19810.28 195
xiu_mvs_v1_base_debi10.28 18010.28 18210.28 18710.28 19510.28 19710.28 19510.28 20910.28 19610.28 19510.28 19110.28 20310.28 19510.28 19310.28 19810.28 195
cdsmvs_eth3d_5k10.28 18010.28 18210.28 18710.28 19510.28 19710.28 19510.28 20910.28 19610.28 19510.28 19110.28 20310.28 19510.28 19310.28 19810.28 195
pcd_1.5k_mvsjas10.28 18010.28 18210.28 18710.28 19510.28 19710.28 19510.28 20910.28 19610.28 19510.28 19110.28 20310.28 19510.28 19310.28 19810.28 195
PS-MVSNAJss10.28 18010.28 18210.28 18710.28 19510.28 19710.28 19510.28 20910.28 19610.28 19510.28 19110.28 20310.28 19510.28 19310.28 19810.28 195
PS-MVSNAJ10.28 18010.28 18210.28 18710.28 19510.28 19710.28 19510.28 20910.28 19610.28 19510.28 19110.28 20310.28 19510.28 19310.28 19810.28 195
jajsoiax10.28 18010.28 18210.28 18710.28 19510.28 19710.28 19510.28 20910.28 19610.28 19510.28 19110.28 20310.28 19510.28 19310.28 19810.28 195
mvs_tets10.28 18010.28 18210.28 18710.28 19510.28 19710.28 19510.28 20910.28 19610.28 19510.28 19110.28 20310.28 19510.28 19310.28 19810.28 195
dp87.20 210113.80 2147.42 18610.50 2058.88 194298.82 2312.70 187510.35 2727.79 192172.93 2243.37 1829.16 19314.00 2043.71 1824.23 182
SR-MVS-dyc-post11.55 19011.55 19211.55 19911.55 20611.55 20811.55 20511.55 22511.55 20611.55 20611.55 20111.55 21511.55 20511.55 20311.55 20811.55 206
test_method18.29 19220.89 19410.50 19715.00 20713.00 20955.00 2163.00 18834.00 20911.50 20532.50 2035.00 18413.50 20627.00 2075.00 1845.00 183
XXY-MVS15.00 19115.00 19315.00 20015.00 20715.00 21015.00 20615.00 23915.00 20715.00 20915.00 20215.00 22615.00 20715.00 20515.00 21315.00 210
GeoE19.41 19322.09 19511.37 19817.21 20911.30 20750.50 2154.30 19033.60 20811.70 20744.50 2117.30 19618.90 20822.60 2067.10 1953.90 181
PRO-TEST28.36 19432.01 19617.41 20129.20 21019.70 21183.18 2173.72 18955.62 21814.98 20849.15 2134.18 18321.65 20943.77 2134.31 18310.88 205
MVS_baseline40.71 20240.62 20240.98 21135.83 21141.70 21940.69 21430.01 26340.17 21644.54 22147.62 21247.49 27541.26 21846.59 21532.67 23739.99 244
nomal-139.76 19745.28 20623.20 20236.57 21232.48 21298.95 2185.50 19284.74 22128.76 21276.23 21710.18 20224.51 21054.61 21812.00 20912.60 208
FBQ-MVS38.39 19543.19 20524.02 20337.02 21334.75 213121.94 2195.25 19170.28 21921.93 21064.99 2149.39 19925.38 21148.89 2178.98 19611.93 207
VLMVS_CLIP41.36 20342.10 20439.14 20639.32 21443.30 22034.99 20844.38 28140.53 21745.84 22239.32 20449.12 27741.40 21947.27 21638.10 24332.71 222
BH-w/o40.00 19840.00 19840.00 20740.00 21540.00 21440.00 21040.00 27340.00 21240.00 21740.00 20540.00 26540.00 21440.00 20840.00 25140.00 245
BH-untuned40.00 19840.00 19840.00 20740.00 21540.00 21440.00 21040.00 27340.00 21240.00 21740.00 20540.00 26540.00 21440.00 20840.00 25140.00 245
BH-RMVSNet40.00 19840.00 19840.00 20740.00 21540.00 21440.00 21040.00 27340.00 21240.00 21740.00 20540.00 26540.00 21440.00 20840.00 25140.00 245
TR-MVS40.00 19840.00 19840.00 20740.00 21540.00 21440.00 21040.00 27340.00 21240.00 21740.00 20540.00 26540.00 21440.00 20840.00 25140.00 245
MVS_clip42.12 20441.02 20345.43 21541.55 21947.24 22234.87 20731.91 26639.23 21147.00 22443.77 21045.79 27345.96 22041.07 21243.97 26043.09 253
VLMVS39.38 19639.70 19738.39 20543.20 22041.62 21835.73 20939.21 27235.81 21046.46 22342.92 20931.86 25736.19 21346.03 21436.10 23937.37 240
GBi-Net44.67 20549.24 20730.96 20447.53 22147.57 224126.09 2208.00 20676.99 22026.09 21173.50 21611.27 21430.55 21261.12 21912.58 21014.75 209
SIFT-UM-Cal75.41 20885.83 21044.16 21452.44 22248.43 225255.64 2277.90 205154.54 22735.49 213135.89 2217.20 19562.85 225106.86 22616.47 21421.20 213
SIFT-NCM-Cal72.17 20781.80 20943.26 21353.17 22347.34 223241.27 2247.46 203147.21 22435.86 214128.70 2208.51 19862.68 22499.13 22414.93 21219.77 211
SIFT-CM-Cal70.81 20680.73 20841.07 21253.36 22445.50 221238.80 2237.63 204146.46 22336.86 215124.25 2198.43 19757.83 22196.77 22313.98 21119.87 212
XFeat-MNN108.16 213124.14 21860.24 22064.71 22565.64 232351.83 24211.05 220228.12 23452.43 228213.52 23713.22 22287.03 228160.49 23321.88 21928.05 216
MTAPA833442.10 3991111233.77 40567.09 22365.59 22664.81 230284.50 22810000000.00 440219.97 23159.62 234229.89 24112.72 220103.00 244203.67 25827.93 23033.46 226
SP-DiffGlue113.82 219130.70 22163.17 22167.00 22766.11 233377.48 24410.96 219236.17 23555.29 231224.34 24012.68 21994.74 237170.89 23621.50 21828.67 217
MP-MVS-pluss833433.63 3981111219.60 40475.70 23474.28 22873.29 237284.50 22811.35 223238.58 23665.86 242255.35 25114.55 224115.69 25310000000.00 43331.94 23538.12 242
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 220133.18 22275.70 23474.28 22873.29 237284.50 22811.35 223238.58 23665.86 242255.35 25114.55 224115.69 253222.18 26131.94 23538.12 242
XFeat-NN131.69 232151.90 23571.09 22876.28 23077.98 242462.62 25712.91 230268.06 25360.69 235251.04 25015.36 229105.71 245196.16 24523.96 22229.58 219
SP-LightGlue108.97 214125.92 21958.13 21978.34 23161.59 229393.69 2459.94 207223.58 23348.33 225199.72 22810.99 21386.77 227149.09 23119.57 21526.03 214
SP-NN125.71 229143.74 23271.61 22978.54 23265.10 231441.23 25211.20 221269.24 25455.66 232233.01 24212.24 217116.45 255171.30 23721.23 21633.27 225
ALIKED-MNN111.04 218126.54 22064.54 22279.44 23372.14 236374.82 24311.60 227221.75 23253.64 230210.25 23613.20 22194.25 236152.80 23221.39 21727.22 215
CANet110.62 215124.04 21570.34 22582.03 23474.27 239325.54 23225.25 249207.16 22869.28 247194.38 22527.53 24595.79 238147.76 22837.43 24040.97 250
CANet_DTU110.62 215124.04 21570.34 22582.03 23474.27 239325.54 23225.25 249207.16 22869.28 247194.38 22527.53 24595.79 238147.76 22837.43 24040.97 250
UGNet110.62 215124.04 21570.34 22582.03 23474.27 239325.54 23225.25 249207.16 22869.28 247194.38 22527.53 24595.79 238147.76 22837.43 24040.97 250
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
SP-MNN124.86 228143.22 23169.79 22486.07 23767.38 234447.53 25311.56 226256.60 24264.57 240215.61 23912.66 218110.32 250172.03 23822.35 22031.67 221
SIFT-PCN-Cal76.63 20986.39 21147.35 21686.31 23848.76 226235.08 22217.15 243145.29 22238.11 216117.96 21818.08 23864.06 22695.58 22223.97 22329.22 218
SIFT-PointCN137.54 240153.56 23689.49 25386.92 23999.27 257439.85 25120.52 245276.42 25669.62 250249.96 24823.99 243132.59 261180.42 24134.34 23836.61 237
ALIKED-NN136.32 235155.63 24178.38 24389.85 24086.60 247481.11 25914.33 238272.35 25564.19 239256.34 25415.34 228112.39 251182.65 24224.52 22436.15 229
ALIKED-LG135.42 234153.61 23780.84 24496.26 24188.69 248452.25 25413.96 233264.04 25262.14 237283.13 25615.44 230116.46 256169.14 23426.17 22737.37 240
SIFT-ConvMatch127.90 230145.81 23374.19 23297.94 24283.95 246423.51 25012.70 229257.99 24361.47 236240.26 24314.41 223107.54 246178.90 24025.10 22531.06 220
new_pmnet88.14 21198.62 21256.70 21798.14 24356.07 227246.79 22515.37 241148.06 22550.77 226143.13 22223.35 24162.65 22293.26 22068.71 26651.38 259
N_pmnet88.14 21198.62 21256.70 21798.14 24356.07 227246.79 22515.37 241148.06 22550.77 226143.13 22223.35 24162.65 22293.26 22068.71 26651.38 259
DSMNet-mixed131.33 231143.00 23096.33 25499.00 24581.00 245201.00 22145.00 282335.00 26399.00 263251.00 24938.00 263110.00 249120.00 22799.00 27798.00 268
SIFT-NN140.61 241162.76 24374.19 232102.05 24679.09 243496.97 26012.66 228286.61 25864.13 238266.77 25515.98 231109.53 248193.75 24425.88 22633.96 227
SIFT-NN-CMatch150.38 244170.73 24589.34 252103.45 24793.34 250519.87 26313.80 232302.14 25968.52 246285.65 25716.39 235137.95 262198.09 25328.65 23236.72 238
SIFT-MNN131.73 233151.00 23473.91 231106.70 24880.02 244465.05 25813.45 231253.70 24159.23 233240.68 24715.27 227108.54 247178.34 23926.57 22833.17 224
FMVSNet5124.76 221140.93 22376.26 236107.44 249100.17 258329.88 23527.12 256259.44 24474.30 252204.34 22930.74 24992.41 229196.98 24638.15 24436.19 230
test1124.76 221140.93 22376.26 236107.44 249100.17 258329.88 23527.12 256259.44 24474.30 252204.34 22930.74 24992.41 229196.98 24638.15 24436.19 230
FMVSNet3124.76 221140.93 22376.26 236107.44 249100.17 258329.88 23527.12 256259.44 24474.30 252204.34 22930.74 24992.41 229196.98 24638.15 24436.19 230
FMVSNet2124.76 221140.93 22376.26 236107.44 249100.17 258329.88 23527.12 256259.44 24474.30 252204.34 22930.74 24992.41 229196.98 24638.15 24436.19 230
FMVSNet1124.76 221140.93 22376.26 236107.44 249100.17 258329.88 23527.12 256259.44 24474.30 252204.34 22930.74 24992.41 229196.98 24638.15 24436.19 230
MIMVSNet1124.76 221140.93 22376.26 236107.44 249100.17 258329.88 23527.12 256259.44 24474.30 252204.34 22930.74 24992.41 229196.98 24638.15 24436.19 230
MIMVSNet124.76 221140.93 22376.26 236107.44 249100.17 258329.88 23527.12 256259.44 24474.30 252204.34 22930.74 24992.41 229196.98 24638.15 24436.19 230
PVSNet_Blended_VisFu136.90 236155.40 23881.40 245111.00 25696.20 253407.00 24725.90 253251.60 23885.10 260240.50 24437.00 26099.90 241199.80 25440.70 25648.10 256
PVSNet_BlendedMVS136.90 236155.40 23881.40 245111.00 25696.20 253407.00 24725.90 253251.60 23885.10 260240.50 24437.00 26099.90 241199.80 25440.70 25648.10 256
PVSNet_Blended136.90 236155.40 23881.40 245111.00 25696.20 253407.00 24725.90 253251.60 23885.10 260240.50 24437.00 26099.90 241199.80 25440.70 25648.10 256
SIFT-UMatch151.81 245172.70 24789.15 250114.65 25996.40 256500.71 26214.32 237311.67 26167.41 245292.77 26016.23 233130.44 259208.85 25927.71 22940.60 249
SIFT-NN-UMatch155.66 246177.77 24889.32 251115.42 26093.92 251530.76 26615.24 240312.03 26272.31 251292.83 26116.40 236130.90 260213.19 26031.76 23443.14 254
SIFT-NN-NCMNet145.54 242166.42 24482.90 248115.73 26192.94 249527.19 26514.03 234285.84 25765.69 241256.06 25316.30 234118.43 257188.39 24328.57 23137.34 239
SIFT-NCMNet150.00 243171.18 24686.47 249118.16 26294.14 252498.85 26114.22 236306.48 26066.28 244288.38 25816.10 232130.24 258202.13 25730.03 23335.03 228
SIFT-NN-PointCN174.29 247198.81 249100.73 255135.35 263113.50 265588.55 26724.71 248355.74 26477.37 259290.44 25927.16 244142.66 264248.71 26241.29 25946.03 255
ELoFTR243.08 251276.98 253141.35 259143.08 264138.37 266830.03 28020.10 244509.87 271106.57 264483.70 26717.51 237225.37 269341.57 26840.42 25560.32 261
LoFTR273.51 255310.65 257162.12 260147.25 265160.13 270918.31 28421.42 246586.82 278125.36 266541.95 26920.52 239254.36 275387.55 27146.65 26171.86 264
SP-SuperGlue137.45 239159.15 24272.36 230165.77 26670.44 235521.33 26411.27 222259.68 25153.14 229215.13 23812.16 216113.72 252170.03 23523.81 22132.93 223
MatchFormer330.86 259378.56 261187.76 264176.61 267188.47 2731141.98 30225.30 252698.47 288149.83 269667.80 28222.42 240297.22 279470.67 27853.93 26277.59 266
FE-MVS207.10 249234.26 251125.61 257180.34 268153.23 268635.64 27030.05 264378.38 266127.68 267377.08 26348.95 276154.43 265266.67 26363.56 26469.18 263
BP-MVS1202.65 248232.15 250114.16 256183.40 269141.78 267655.87 27124.69 247372.56 265109.76 265356.89 26247.15 274139.51 263284.15 26454.86 26361.20 262
GDP-MVS219.79 250249.11 252131.85 258187.15 270155.97 269667.31 27230.57 265398.95 267131.26 268387.86 26458.83 281164.55 266315.00 26565.03 26575.04 265
DP-MVS264.78 253296.02 255171.04 263191.70 271183.96 272827.10 27978.36 298438.24 269176.64 272435.12 26565.04 284230.52 272334.02 267117.96 28898.64 269
tmp_tt371.08 264412.78 265246.00 276231.00 272197.00 2751293.00 309376.00 362756.00 295609.00 34071.00 215106.00 298195.00 267102.00 225171.00 309346.00 336
GLUNet-SfM453.02 278518.66 280256.09 280234.58 273255.96 2861607.37 31733.24 269947.74 306191.46 275875.86 30230.56 248398.99 300672.82 30974.28 268113.32 273
FA-MVS(test-final)261.15 252293.29 254164.72 261236.23 274199.99 276800.05 27842.35 278475.87 270155.47 270470.67 26658.49 280205.24 268319.44 26681.03 27188.93 267
kuosan267.89 254301.05 256168.41 262244.05 275177.28 271667.98 27365.76 288533.41 273157.79 271492.01 268104.69 297226.72 270364.47 27079.31 270101.21 270
MASt3R-SfM432.55 273498.24 279235.48 270246.34 276235.93 2801447.80 31132.85 268924.84 304196.39 276881.24 30433.31 258367.13 293643.29 30478.11 269103.39 271
WB-MVS316.44 256357.41 258193.51 266257.06 277213.32 279914.45 28249.03 285600.77 280186.42 274634.00 28175.03 287251.35 274411.39 27388.55 273115.87 274
SSC-MVS320.23 257364.09 259188.66 265260.78 278193.84 274975.93 28973.11 293596.72 279185.29 273589.02 27574.47 286246.01 273427.42 27694.06 276126.12 276
myMVS_eth3d28418.40 271473.07 273254.39 279261.18 279313.04 2941172.79 30474.16 295929.18 305264.68 289745.72 288139.03 310318.91 283549.18 293121.71 289131.21 277
EG-PatchMatch MVS437.03 274493.12 277268.77 283264.80 280260.20 2881491.80 31498.00 312723.20 292238.80 283722.40 28663.10 283382.00 295629.00 300207.00 319164.10 296
ArgMatch-SfM559.81 286646.64 292299.29 289273.31 281302.88 2931966.31 32332.78 2671178.38 320242.47 2851172.35 32231.59 256476.65 309841.50 31881.11 272118.35 275
testing11348.86 261393.09 263216.15 268275.24 282239.53 281915.55 28372.35 290679.89 286215.75 280633.79 280118.08 302276.62 277509.56 288117.61 287132.30 278
testing91347.05 260389.92 262218.43 269275.92 283241.43 282923.71 28571.70 289667.65 285217.04 281629.00 279113.33 301281.39 278495.50 280115.45 283132.47 279
RPSCF394.81 267445.63 269242.35 274276.55 284253.63 2841207.27 30690.69 307715.56 289241.57 284684.87 283111.96 299320.02 284548.38 292133.81 293153.39 291
UWE-MVS-28327.73 258369.67 260201.90 267281.09 285210.75 277832.98 28174.67 296680.98 287198.23 277613.42 278112.56 300259.80 276418.76 274114.35 281135.15 283
PDCNetPlus580.74 287670.05 293312.81 294293.01 286325.34 3002012.58 32540.24 2771291.32 323244.73 2861126.48 32140.08 269476.71 310892.02 32190.03 275136.37 284
dongtai360.45 262401.64 264236.89 273303.10 287262.16 289963.12 28672.78 291622.82 283199.37 278708.06 285130.96 305310.90 282506.46 287108.11 279137.60 285
Syy-MVS370.76 263415.60 266236.25 272310.54 288210.76 278965.13 28798.58 313746.06 293266.26 290788.85 29291.37 291364.76 290357.17 269116.42 284133.22 281
myMVS_eth3d390.90 266437.44 267251.28 278310.54 288255.86 285965.13 28798.58 313746.06 293266.26 290788.85 292154.95 313364.76 290490.19 279116.42 284133.22 281
ArgMatch-Sym628.95 293725.61 296338.98 299319.80 290348.01 3042161.93 32634.42 2701349.94 327274.47 2931311.17 32535.52 259536.43 316953.83 32389.37 274132.49 280
testing99408.82 269462.15 271248.86 277322.45 291269.42 2901118.93 30073.26 294719.36 291262.28 288772.10 289150.98 312327.08 285601.98 296137.99 295150.07 289
testing3418.10 270469.06 272265.23 282335.69 292290.63 2921240.88 30793.72 308717.99 290215.31 279811.97 298232.41 345358.74 288458.67 277114.88 282146.32 287
DenseAffine716.23 299826.00 302386.90 304338.46 293383.55 3092528.22 34239.18 2711519.44 339321.65 3051502.70 33938.50 264629.37 3331046.88 33599.01 278147.77 288
DELS-MVS514.57 284587.73 287295.12 288343.03 294328.09 3031540.48 316116.22 321988.59 308325.44 306906.22 305119.86 304365.72 292788.60 314161.09 306191.55 309
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
UWE-MVS387.98 265438.66 268235.93 271349.32 295257.61 2871081.50 29782.45 302637.74 284257.12 287738.54 287134.25 306308.00 280531.93 290135.11 294142.17 286
DP-MVS Recon516.25 285581.17 286321.48 296361.02 296429.00 3171995.36 32478.48 299796.20 297283.32 297796.02 29496.78 292382.98 296636.72 302186.66 316152.46 290
DKM753.27 301870.09 310402.84 305361.88 297411.34 3142666.28 34643.92 2801620.97 343327.84 3071561.61 34242.38 270642.06 3351096.20 344109.69 280155.12 292
testing3-2489.51 281555.88 284290.42 285362.21 298319.27 2971424.84 31088.81 306964.80 307309.62 301879.13 303174.38 320363.98 289643.82 305155.29 298188.01 306
PMatch-SfM784.39 312906.45 318418.23 307363.55 299413.41 3152750.56 34842.96 2791663.64 344341.27 3091653.81 34442.46 271676.23 3371182.18 347117.60 286165.06 297
ACMH+729.97 2661.38 295754.00 297383.51 302368.96 300376.38 3082483.74 34082.42 3011089.25 318333.39 3081219.68 32366.53 285573.60 326957.86 324184.14 315200.56 312
WB-MVSnew404.84 268458.00 270245.36 275374.70 301320.27 2981193.74 30572.90 292773.77 296238.30 282688.22 28490.05 290308.59 281532.76 291157.54 302107.21 272
MVP-Stereo473.58 279533.67 281293.33 286376.00 302318.00 2951461.00 31296.00 309835.00 298290.00 298804.00 29597.00 293383.00 297688.00 310156.00 299179.00 301
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 279533.67 281293.33 286376.00 302318.00 2951461.00 31296.00 309835.00 298290.00 298804.00 29597.00 293383.00 297688.00 310156.00 299179.00 301
ETVMVS443.50 277498.07 278279.78 284378.05 304321.57 2991163.68 30387.12 303897.50 303269.81 292822.83 299141.20 311334.53 287568.21 295154.21 297183.26 303
testing222430.52 272487.50 276259.56 281379.87 305282.69 2911138.34 30181.30 300880.86 300281.58 294834.27 300135.83 308333.22 286514.90 289140.56 296162.76 293
PMatch-Up-SfM815.39 315940.33 320440.56 308382.27 306431.17 3182810.50 34946.03 2831754.44 346360.71 3111728.19 34644.08 272722.27 3391214.00 348122.78 290168.24 298
SSC-MVS3.2667.82 296787.71 300308.16 291385.94 307327.65 3011718.51 318117.00 3221942.46 354317.12 3031488.73 337183.89 321404.82 303763.70 312172.02 311192.01 310
UBG667.82 296787.71 300308.16 291385.94 307327.65 3011718.51 318117.00 3221942.46 354317.12 3031488.73 337183.89 321404.82 303763.70 312172.02 311192.01 310
WBMVS655.88 294770.84 299310.98 293391.79 309353.00 3052280.68 32899.17 3161776.79 348301.20 3001123.23 320187.34 330390.28 299620.39 299156.98 301189.66 308
tpmvs501.65 283567.42 285304.33 290395.39 310356.32 3061512.04 315216.53 349994.15 310350.16 310804.16 297119.38 303380.98 294555.14 294159.87 305175.69 299
PatchmatchNet2copyleft400.00 311400.00 312400.00 246400.00 367400.00 268
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
PatchmatchNetpermissive492.52 282551.22 283316.40 295400.20 312357.90 3071277.10 308115.80 3201034.60 317315.90 302874.00 301155.10 314402.20 302629.50 301158.80 303189.10 307
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PMVScopyleft863.65 3957.08 3231054.11 332666.00 338401.00 313495.00 3243790.00 356279.00 3511607.00 342521.00 3321745.00 34890.00 2881105.00 365639.00 303415.00 347398.00 343
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
RoMa-SfM821.88 316947.65 321444.57 309404.53 314436.79 3192814.72 35048.36 2841757.60 347367.99 3151743.22 34750.35 278719.59 3381218.12 349123.95 291177.32 300
CSCG826.03 317963.29 322414.24 306421.52 315426.11 3162230.35 327179.52 3451827.44 349733.43 351933.12 307281.25 347545.23 3171800.35 360262.64 333271.38 324
DKM-HiRes889.49 3211027.58 331475.22 319423.85 316483.27 3223121.07 35152.45 2861928.03 353389.91 3161854.07 35050.60 279758.69 3421297.31 352130.95 292183.70 304
IB-MVS872.44 4616.41 292700.96 295362.78 301426.10 317409.25 3131822.69 320124.42 3321186.23 321366.85 3141079.42 317190.60 332451.78 308930.72 322181.59 314227.30 315
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
ADS-MVSNet2443.33 275482.84 274324.79 297434.94 318387.73 3101110.57 29887.69 304887.02 301282.92 295779.29 29098.57 295422.76 305502.40 281162.19 307163.87 294
ADS-MVSNet443.33 275482.84 274324.79 297434.94 318387.73 3101110.57 29887.69 304887.02 301282.92 295779.29 29098.57 295422.76 305502.40 281162.19 307163.87 294
ACMH993.80 5967.92 3241106.11 334553.33 325494.00 320534.00 3263581.00 354136.00 3341585.00 341478.00 3291871.00 35190.00 288839.00 3441460.00 353260.00 332287.00 327
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
RoMa-HiRes1034.45 3321193.62 335556.95 326500.36 321544.88 3353519.53 35361.60 2872201.60 359461.12 3202254.28 35560.98 282906.83 3481523.88 355159.21 304219.15 313
IterMVS615.05 291691.66 294385.23 303516.40 322454.80 3211863.80 321102.10 3171142.20 319364.10 3131093.20 319135.00 307480.40 311826.90 316181.20 313220.50 314
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
ACMM1311.08 81165.06 3371332.72 340662.07 337584.90 323715.99 3504373.59 361153.99 3421880.27 351709.02 3482316.97 356188.63 331939.89 3501484.30 354302.78 340330.34 333
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
new-patchmatchnet766.12 303859.03 307487.38 322595.68 324536.14 3272346.27 330142.51 3371488.08 330422.43 3171361.32 328163.65 317628.60 3311003.74 333207.61 320297.41 329
ACMP1246.57 71086.24 3331235.17 337639.45 333596.53 325639.91 3453904.24 357152.04 3401851.54 350566.58 3381997.95 353138.50 309938.30 3491605.46 356303.70 341340.14 334
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
SixPastTwentyTwo773.62 304869.37 309486.35 321603.45 326547.15 3372532.14 343106.92 3191434.95 329428.08 3181360.56 327165.15 318628.96 332984.09 325209.01 321282.94 326
IterMVS-LS758.94 302856.56 306466.10 318606.60 327546.80 3362309.90 329122.20 3311402.80 328463.50 3211348.20 326192.60 333574.60 3271028.60 334234.60 331276.90 325
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
MG-MVS1256.50 3391432.00 342730.00 342610.00 328760.00 3524720.00 362169.00 3431920.00 352723.00 3502510.00 362201.00 3361050.00 3631645.00 358390.00 345380.00 340
RE-MVS-def610.10 289610.10 329610.10 343610.10 268610.10 395610.10 281610.10 341610.10 276610.10 377610.10 297610.10 351610.10 349
SR-MVS610.10 289610.10 289610.10 332610.10 329610.10 343610.10 268610.10 395610.10 281610.10 341610.10 276610.10 377610.10 329610.10 297610.10 351610.10 349
GG-mvs-BLEND596.01 330611.29 331600.33 340790.30 275513.12 386552.71 334567.40 270662.54 389531.67 312503.93 283779.80 368656.02 352
gm-plane-assit611.29 331600.33 340579.21 274567.40 270531.67 312503.93 283
CR-MVSNet612.36 290617.81 291596.01 330611.29 331600.33 340790.30 275513.12 386579.21 274552.71 334567.40 270662.54 389531.67 312503.93 283779.80 368656.02 352
Gipumacopyleft689.75 298767.00 298458.00 317613.00 334549.00 3381943.00 322187.00 3461230.00 322518.00 3311092.00 318203.00 338564.00 318892.00 320225.00 329261.00 323
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
gg-mvs-nofinetune594.69 288605.37 288562.67 327617.29 335500.33 325772.30 274413.12 371579.21 274552.71 334567.40 270662.54 389531.67 312503.93 283779.80 368656.02 352
mvs_anonymous774.90 305882.28 311452.77 310636.50 336537.20 3282348.80 331120.30 3241504.30 331474.40 3221371.10 329186.90 323564.70 3191078.90 337219.30 322256.40 316
casdiffmvspermissive774.90 305882.28 311452.77 310636.50 336537.20 3282348.80 331120.30 3241504.30 331474.40 3221371.10 329186.90 323564.70 3191078.90 337219.30 322256.40 316
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 305882.28 311452.77 310636.50 336537.20 3282348.80 331120.30 3241504.30 331474.40 3221371.10 329186.90 323564.70 3191078.90 337219.30 322256.40 316
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 305882.28 311452.77 310636.50 336537.20 3282348.80 331120.30 3241504.30 331474.40 3221371.10 329186.90 323564.70 3191078.90 337219.30 322256.40 316
baseline1774.90 305882.28 311452.77 310636.50 336537.20 3282348.80 331120.30 3241504.30 331474.40 3221371.10 329186.90 323564.70 3191078.90 337219.30 322256.40 316
casdiffmvs_mvgpermissive774.90 305882.28 311452.77 310636.50 336537.20 3282348.80 331120.30 3241504.30 331474.40 3221371.10 329186.90 323564.70 3191078.90 337219.30 322256.40 316
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 305882.28 311452.77 310636.50 336537.20 3282348.80 331120.30 3241504.30 331474.40 3221371.10 329186.90 323564.70 3191078.90 337219.30 322256.40 316
PVSNet1207.94 6829.56 318937.18 319506.69 323645.55 343585.72 3392477.98 339130.52 3331578.29 340509.50 3301460.01 336194.90 334637.19 3341170.78 346267.07 335297.17 328
FPMVS1407.00 3421495.59 3441141.23 355648.01 344893.85 3594124.00 358503.81 3853219.04 367742.72 3522498.84 361157.98 3151727.83 372832.93 317732.98 367802.00 361
lessismore_v0569.20 328667.25 345644.68 34696.45 311428.86 3191514.17 340204.21 339756.58 3401061.60 336197.79 318306.34 330
PVSNet_01661.03 9968.54 3251066.82 333673.70 339706.94 346695.69 3482669.02 347153.52 3412108.17 357605.54 3391679.14 345213.26 343886.75 3471236.76 351229.01 330438.67 345
MSLP-MVS++1242.93 3381411.08 341738.48 343712.71 347712.68 3494168.17 359136.50 3352276.40 360613.28 3432368.60 359161.61 3161130.38 3661964.54 363297.88 338372.39 339
MVSTER890.06 3221005.91 330542.52 324736.13 348653.90 3472616.56 345145.22 3391692.10 345555.69 3371554.72 341266.25 346660.02 3361219.66 350266.84 334313.64 332
MVS_111021_LR1136.45 3361298.72 339649.64 334756.17 349726.26 3513785.94 355138.15 3362190.64 358629.63 3442064.39 354165.45 319874.83 3461678.43 359279.70 336347.82 337
DeepC-MVS_fast2190.19 121535.59 3431886.82 347481.89 320847.73 350830.16 3567943.84 381189.23 3472398.83 361691.73 3472341.13 357209.16 340230.25 2711999.25 364360.46 343385.25 341
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
JIA-IIPM804.30 314835.64 304710.26 341885.90 351895.90 360455.98 255668.73 4001297.17 3241002.26 3631001.67 315655.98 387756.98 341667.90 306885.21 380477.90 346
RPMNet787.26 313829.13 303661.63 336885.90 351895.90 360455.98 255610.10 3951297.17 3241002.26 3631001.67 315655.98 387611.10 330667.90 306885.21 380477.90 346
ACMMPR1296.60 3401480.82 343743.96 344899.25 353763.47 3534305.47 360143.90 3382530.94 363683.99 3452346.34 358201.65 3371098.25 3641920.59 362295.21 337370.16 338
test_04021110.00 3351260.00 338660.00 335900.00 354780.00 3543300.00 352210.00 3482040.00 356690.00 3461950.00 352300.00 350810.00 3431620.00 357330.00 342390.00 342
testing915729.10 300855.14 305351.00 300925.24 355437.90 3202502.37 34177.67 297990.89 309362.89 3121646.83 343212.04 342427.83 307806.31 315171.97 310187.28 305
TSAR-MVS + GP.1386.84 3411622.84 345678.81 340952.13 356840.17 3575358.21 365170.75 3442650.47 364713.54 3492394.28 360209.42 341855.56 3451854.36 361302.42 339340.71 335
ambc999.00 347999.00 357999.00 362999.00 290999.00 411999.00 356999.00 308999.00 402999.00 353999.00 326999.00 387999.00 384
OurMVSNet-221017-0999.00 326999.00 324999.00 347999.00 357999.00 362999.00 290999.00 411999.00 311999.00 356999.00 308999.00 402999.00 353999.00 326999.00 387999.00 384
EPMVS999.00 326999.00 324999.00 347999.00 357999.00 362999.00 290999.00 411999.00 311999.00 356999.00 308999.00 402999.00 353999.00 326999.00 387999.00 384
uanet_test1000.00 3281000.00 3261000.00 3501000.00 3601000.00 3651000.00 2931000.00 4141000.00 3131000.00 3591000.00 3111000.00 4051000.00 3561000.00 3291000.00 3901000.00 387
sosnet1000.00 3281000.00 3261000.00 3501000.00 3601000.00 3651000.00 2931000.00 4141000.00 3131000.00 3591000.00 3111000.00 4051000.00 3561000.00 3291000.00 3901000.00 387
USDC1000.00 3281000.00 3261000.00 3501000.00 3601000.00 3651000.00 2931000.00 4141000.00 3131000.00 3591000.00 3111000.00 4051000.00 3561000.00 3291000.00 3901000.00 387
TinyColmap1000.00 3281000.00 3261000.00 3501000.00 3601000.00 3651000.00 2931000.00 4141000.00 3131000.00 3591000.00 3111000.00 4051000.00 3561000.00 3291000.00 3901000.00 387
COLMAP_ROBcopyleft2144.59 111658.33 3441869.33 3461025.33 3541030.00 3641023.00 3695311.00 364359.00 3603044.00 365937.00 3552892.00 363332.00 3541440.00 3692312.00 366607.00 350613.00 351
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 3452113.11 3481173.33 3581231.00 3651174.00 3706297.00 367392.00 3653356.00 3691087.00 3653082.00 364361.00 3581670.00 3712523.00 368689.00 357676.00 356
OpenMVS_ROBcopyleft1936.51 101959.51 3462224.88 3501163.39 3571253.91 3661434.22 3737065.71 371272.76 3502472.29 3621647.54 3953538.72 368200.37 3351496.48 3702575.17 369997.45 386559.48 348
Patchmtry1090.75 3341198.88 336766.38 3451290.90 367485.90 3232423.98 3381267.30 4181297.17 324923.90 353923.40 3061215.54 410990.23 351667.90 306779.80 368823.02 366
PatchT856.34 319860.99 308842.38 3461290.90 367880.90 358790.30 2751267.30 418579.21 274923.90 353567.40 270662.54 389990.23 351887.56 319779.80 368656.02 352
K. test v3877.74 320980.16 323570.46 3291316.85 369813.15 3552565.52 344103.78 3181509.49 338548.33 3331258.90 324219.93 344587.82 3281102.37 345196.30 317310.42 331
PLCcopyleft2858.82 162192.92 3492474.00 3521349.67 3601407.00 3701356.00 3727164.00 372475.00 3783970.00 3731237.00 3723765.00 371451.00 3651891.00 3773006.00 372791.00 373802.00 361
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
CMPMVSbinary2623.62 151983.08 3472156.14 3491463.89 3681414.80 3711517.00 3755239.20 363867.40 4053310.30 3681128.70 3673489.90 367366.75 3592030.20 3832427.60 3671160.60 399844.46 369
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
ZD-MVS1584.00 3721821.00 395378.00 3633721.00 3711231.00 3701833.00 349321.00 3531224.00 3672103.00 365692.00 361
Vis-MVSNetpermissive2877.42 3623170.00 3651999.67 3831673.00 3732042.00 4018593.00 385474.00 3776452.00 3981268.00 3735125.00 385339.00 3553004.00 4014222.00 388384.00 344953.00 380
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
PCF-MVS4335.85 202272.23 3512597.03 3541297.84 3591701.20 3741332.37 3718105.11 382451.45 3744031.84 3741099.10 3663966.50 372467.45 3661734.05 3732701.68 371848.94 377827.11 367
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
test_0728_SECOND1451.45 3651725.60 3751598.35 3799203.30 388315.86 3542023.43 3803973.88 382620.04 353732.56 358
test07261725.60 3751598.35 3799203.30 388315.86 3545016.02 3851363.85 3754894.28 382387.23 360
SD-MVS2654.53 3583055.56 3631451.45 3651725.60 3751598.35 3799203.30 388315.86 3545016.02 3851363.85 3754894.28 382387.23 3602023.43 3803973.88 382620.04 353732.56 358
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
3Dnovator2482.06 142531.17 3552839.56 3581606.00 3691732.00 3781557.00 3778375.00 384483.00 3794370.00 3791371.00 3784200.00 373350.00 3562207.00 3843877.00 381798.00 3741054.00 391
LF4IMVS2699.50 3603049.67 3621649.00 3711755.00 3791689.00 3868330.00 383464.00 3764997.00 3841528.00 3814763.00 381568.00 3752296.00 3864215.00 387827.00 376962.00 381
DPM-MVS3268.00 3663762.89 3691783.33 3761756.00 3801806.00 39312319.00 404307.00 3526319.00 3961557.00 3865763.00 388302.00 3512609.00 3935061.00 393482.00 348935.00 378
OPM-MVS3268.00 3663762.89 3691783.33 3761756.00 3801806.00 39312319.00 404307.00 3526319.00 3961557.00 3865763.00 388302.00 3512609.00 3935061.00 393482.00 348935.00 378
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
OpenMVScopyleft2352.88 132263.08 3502530.89 3531459.67 3671767.00 3821591.00 3787932.00 380399.00 3663643.00 3701176.00 3683569.00 369297.00 3491927.00 3793302.00 374693.00 362861.00 370
tpmrst2557.50 3562847.12 3591688.66 3721784.08 3831778.25 3927445.50 378342.14 3574471.54 3801534.55 3824382.10 377530.10 3722361.21 3874142.81 385991.22 385926.51 376
AdaColmapbinary2570.77 3572948.61 3601437.24 3641873.64 3841526.60 3767819.77 379373.97 3614970.45 3831479.29 3804648.46 379525.80 3711904.97 3784150.42 386695.69 363880.14 374
SteuartSystems-ACMMP2891.50 3633284.78 3661711.67 3731954.00 3851655.00 38510117.00 401445.00 3735102.00 3881375.00 3795126.00 386351.00 3572638.00 3974402.00 389691.00 360842.00 368
Skip Steuart: Steuart Systems R&D Blog.
ITE_SJBPF2014.00 3841998.00 3861992.00 399701.00 4015989.00 3901812.00 3993612.00 370650.00 3832852.00 4004601.00 3911195.00 4001198.00 397
tpm23617.85 3704007.23 3722449.73 3902012.71 3871698.05 3877351.19 374869.29 4066132.06 3911588.28 3898007.42 4061281.09 4113888.11 4147472.04 4111351.00 4011763.02 407
tpm cat13617.85 3704007.23 3722449.73 3902012.71 3871698.05 3877351.19 374869.29 4066132.06 3911588.28 3898007.42 4061281.09 4113888.11 4147472.04 4111351.00 4011763.02 407
CostFormer3617.85 3704007.23 3722449.73 3902012.71 3871698.05 3877351.19 374869.29 4066132.06 3911588.28 3898007.42 4061281.09 4113888.11 4147472.04 4111351.00 4011763.02 407
tpm3617.85 3704007.23 3722449.73 3902012.71 3871698.05 3877351.19 374869.29 4066132.06 3911588.28 3898007.42 4061281.09 4113888.11 4147472.04 4111351.00 4011763.02 407
CHOSEN 280x4202340.81 3522643.03 3551434.14 3612025.55 3911629.36 3826542.40 368412.49 3684219.70 3761547.02 3834328.52 374650.74 3841798.26 3743333.17 375727.72 364874.79 371
CHOSEN 1792x26882340.81 3522643.03 3551434.14 3612025.55 3911629.36 3826542.40 368412.49 3684219.70 3761547.02 3834328.52 374650.74 3841798.26 3743333.17 375727.72 364874.79 371
HyFIR lowres test2340.81 3522643.03 3551434.14 3612025.55 3911629.36 3826542.40 368412.49 3684219.70 3761547.02 3834328.52 374650.74 3841798.26 3743333.17 375727.72 364874.79 371
DVP-MVS++3981.10 3764731.32 3811730.42 3742191.51 3941949.98 39716473.90 413355.33 3587172.90 4071622.98 3937879.79 404434.33 3632428.11 3895762.12 396689.04 358813.18 364
DVP-MVScopyleft3981.10 3764731.32 3811730.42 3742191.51 3941949.98 39716473.90 413355.33 3587172.90 4071622.98 3937879.79 404434.33 3632428.11 3895762.12 396689.04 358813.18 364
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
3Dnovator+3414.41 173146.67 3643537.00 3671975.67 3802310.00 3962005.00 40010100.00 400626.00 3985753.00 3891803.00 3985179.00 387487.00 3672622.00 3954550.00 3901025.00 3941300.00 398
TSAR-MVS + MP.3528.01 3694065.89 3761914.35 3792349.10 3972141.30 40212362.70 406417.60 3726717.80 4021759.40 3976497.50 391518.18 3702629.38 3965164.32 395806.40 375972.38 383
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
DeepPCF-MVS3452.42 182670.71 3593021.57 3611618.12 3702377.67 3981751.39 3918915.70 387567.44 3934569.74 3811236.84 3714615.63 378513.23 3692291.32 3853515.48 378882.39 379811.66 363
GST-MVS4000.00 3784533.33 3792400.00 3892400.00 3992400.00 4057200.00 3732400.00 4227200.00 4092400.00 4097200.00 3982400.00 4152400.00 3887200.00 4092400.00 4132400.00 412
MVS_111021_HR3742.80 3744330.34 3771980.20 3812484.31 4002259.52 40414973.80 411515.90 3926500.13 3991949.21 4006146.89 390535.66 3732593.66 3924880.76 392986.37 3841087.43 392
DeepC-MVS3917.13 193155.06 3653601.83 3681814.72 3782515.52 4011941.53 39610432.50 402589.42 3944789.45 3821298.65 3747677.31 403578.35 3762589.53 3913611.78 380923.52 382913.10 375
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
TAPA-MVS6309.84 213374.90 3683806.99 3712078.63 3852535.47 4022499.25 4118816.16 386456.05 3756255.60 3951664.52 3966704.88 393629.95 3822768.38 3986343.93 407856.35 378968.25 382
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
FOURS12643.17 4032465.14 40613996.40 408493.26 3807619.38 4102107.24 401
MSC_two_6792asdad2237.56 3862643.17 4032465.14 406493.26 3803088.29 4066075.14 4031078.39 3951159.26 393
No_MVS2237.56 3862643.17 4032465.14 406493.26 3803088.29 4066075.14 4031078.39 3951159.26 393
test_one_06012643.17 4032465.14 406493.26 3807619.38 4102107.24 4017416.93 400610.24 379
SED-MVS4062.74 3794671.13 3802237.56 3862643.17 4032465.14 40613996.40 408493.26 3807619.38 4102107.24 4017416.93 400610.24 3793088.29 4066075.14 4031078.39 3951159.26 393
IU-MVS2725.60 4082598.35 412515.86 3887016.02 4032363.85 4055973.88 3991620.04 4071732.56 403
OPU-MVS2451.45 3942725.60 4082598.35 4129203.30 3886894.28 394887.23 3973023.43 4025973.88 3991620.04 4071732.56 403
test_241102_ONE2725.60 4082598.35 412515.86 3887016.02 4032363.85 4056894.28 394887.23 3973023.43 402
MSP-MVS4296.20 3804911.12 3842451.45 3942725.60 4082598.35 41216203.30 412515.86 3887016.02 4032363.85 4056894.28 394887.23 3973023.43 4025973.88 3991620.04 4071732.56 403
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
MVS-HIRNet2125.39 3482452.68 3511143.53 3562938.33 4121446.92 3746083.19 366391.74 3643801.71 3721202.10 3693439.72 366492.73 3681304.35 3683048.25 373676.32 356679.32 357
EGC-MVSNET2819.75 3613096.89 3641988.33 3823105.00 4132241.00 4039480.00 392640.00 3994209.00 3751583.00 3884740.00 380547.00 3742797.00 3992644.00 370924.00 383927.00 377
TestfortrainingZip3151.39 3993151.39 4143151.39 41821344.80 4153151.39 4233151.39 3663151.39 4133151.39 3653151.39 4173151.39 4103151.39 4153151.39 413
MAR-MVS3973.16 3754387.92 3782728.86 3963345.27 4153341.39 41911403.90 403798.76 4036555.62 4012569.29 4106514.86 392834.97 3963237.43 4115891.08 3981577.54 4061607.76 399
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
API-MVS4380.83 3814906.56 3832803.67 3973844.00 4163116.00 41713454.00 407901.00 4106511.00 4002794.00 4117365.00 399754.00 3933634.00 4126622.00 4081914.00 4121661.00 402
CLD-MVS7338.25 3838341.00 3864330.00 4004902.00 4174991.00 42023318.00 420728.00 40214437.00 4244378.00 41513379.00 418824.00 3955708.00 41811429.00 4241674.00 4112291.00 411
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
OMC-MVS5022.26 3825748.82 3852842.58 3984905.27 4183101.27 41614933.60 410812.24 4049278.40 4142959.29 4128800.17 4101092.24 4093806.30 4137568.54 4151389.60 4051620.18 401
LS3D7684.71 3848776.23 3874410.16 4015298.55 4195631.53 42134329.90 4221504.57 42011554.00 4233896.41 41415111.00 419812.19 3945985.63 4193516.20 3792963.23 4141613.31 400
MVEpermissive10021.00 2210550.67 39210002.44 39512195.33 4106242.00 4208768.00 42330896.00 4214451.00 42410331.00 4226247.00 41618296.00 420283.00 34821484.00 4287364.00 4105912.00 4176334.00 415
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 39311772.44 3967637.33 4029120.00 4218206.00 42222252.00 4192010.00 42124984.00 4257458.00 41722596.00 4212940.00 41610260.00 42711100.00 4233492.00 4164446.00 414
ZNCC-MVS9999.00 3859999.00 3889999.00 4039999.00 4229999.00 4249999.00 3939999.00 4279999.00 4159999.00 4189999.00 4119999.00 4199999.00 4209999.00 4169999.00 4189999.00 416
patch_mono-210000.00 38610000.00 38910000.00 40410000.00 42310000.00 42510000.00 39410000.00 42810000.00 41610000.00 41910000.00 41210000.00 42010000.00 42110000.00 41710000.00 41910000.00 417
dcpmvs_210000.00 38610000.00 38910000.00 40410000.00 42310000.00 42510000.00 39410000.00 42810000.00 41610000.00 41910000.00 41210000.00 42010000.00 42110000.00 41710000.00 41910000.00 417
DCPMVS10000.00 38610000.00 38910000.00 40410000.00 42310000.00 42510000.00 39410000.00 42810000.00 41610000.00 41910000.00 41210000.00 42010000.00 42110000.00 41710000.00 41910000.00 417
UA-Net10000.00 38610000.00 38910000.00 40410000.00 42310000.00 42510000.00 39410000.00 42810000.00 41610000.00 41910000.00 41210000.00 42010000.00 42110000.00 41710000.00 41910000.00 417
uncertanet10000.00 38610000.00 38910000.00 40410000.00 42310000.00 42510000.00 39410000.00 42810000.00 41610000.00 41910000.00 41210000.00 42010000.00 42110000.00 41710000.00 41910000.00 417
uanet10000.00 38610000.00 38910000.00 40410000.00 42310000.00 42510000.00 39410000.00 42810000.00 41610000.00 41910000.00 41210000.00 42010000.00 42110000.00 41710000.00 41910000.00 417
LTVRE_ROB20565.47 2323378.08 39422805.00 39725097.33 41115500.00 42919201.00 43142712.00 4236055.00 42538388.00 42616926.00 42538534.00 4227071.00 41835653.00 42929475.00 42510584.00 42520438.00 424
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 39534443.44 39827094.33 41229249.00 43025246.00 43251144.00 4246705.00 42642886.00 42722888.00 42648534.00 42313263.00 42637507.00 43079298.00 42616024.00 42618530.00 423
test-26052499999.00 43199999.00 43399999.00 43499999.00 42799999.00 42799999.00 43199999.00 42799999.00 427
114514_t99999.00 39699999.00 39999999.00 41399999.00 43199999.00 43399999.00 42599999.00 43499999.00 42899999.00 42799999.00 42499999.00 42799999.00 43199999.00 42799999.00 42799999.00 425
PHI-MVS99999.00 39699999.00 39999999.00 41399999.00 43199999.00 43399999.00 42599999.00 43499999.00 42899999.00 42799999.00 42499999.00 42799999.00 43199999.00 42799999.00 42799999.00 425
XVG-OURS-SEG-HR999999.00 400999999.00 401999999.00 415999999.00 434999999.00 436999999.00 427999999.00 437999999.00 430999999.00 430999999.00 426999999.00 430999999.00 434999999.00 430999999.00 431999999.00 427
XVG-OURS999999.00 400999999.00 401999999.00 415999999.00 434999999.00 436999999.00 427999999.00 437999999.00 430999999.00 430999999.00 426999999.00 430999999.00 434999999.00 430999999.00 431999999.00 427
XVG-ACMP-BASELINE999999.00 400999999.00 401999999.00 415999999.00 434999999.00 436999999.00 427999999.00 437999999.00 430999999.00 430999999.00 426999999.00 430999999.00 434999999.00 430999999.00 431999999.00 427
aaatest10000000.00 41810000000.00 43710000000.00 43921344.80 41510000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43710000000.00 43310000000.00 43410000000.00 430
MED-MVS8343445.32 4037791260.42 40610000000.00 41810000000.00 43710000000.00 43921344.80 41510000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43399999.00 42710000000.00 430
TestfortrainingZip a9168445.40 4048891260.53 40710000000.00 41810000000.00 43710000000.00 43921344.80 41510000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
mamba_040810000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
icg_test_0407_210000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
SSM_0407210000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
SSM_040710000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
IMVS_040710000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
IMVS_040410000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
SSM_040410000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
IMVS_040310000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
SD_040310000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
aaEdge-Enhanced10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
NormalMVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
lecture10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
SymmetryMVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
Elysia10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
StellarMVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
KinetiMVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
LuminaMVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
VortexMVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
AstraMVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
guyue10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
sc_t110000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
tt0320-xc10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
tt032010000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
MVSMamba_PlusPlus10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
MGCFI-Net10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
sasdasda10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
dmvs_re10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
SDMVSNet10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
dmvs_testset10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
sd_testset10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
BridgeMVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
MonoMVSNet10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
test250610000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
test111110000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
ECVR-MVScopyleft10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
test_blank10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
tt080510000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
eth-test10000000.00 437
Anonymous2024052110000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
cl2210000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
miper_ehance_all_eth10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
miper_enhance_ethall10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
cl____10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
DIV-MVS_self_test10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
eth_miper_zixun_eth10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
ET-MVSNet_ETH3D10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
UniMVSNet_ETH3D10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
miper_lstm_enhance10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
D2MVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
test_yl10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
thisisatest053010000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
Anonymous2024052910000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
Anonymous20240521110000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
DCV-MVSNet10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
tttt051710000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
our_test_310000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
thisisatest051510000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
ppachtmachnet_test10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
SMA-MVScopyleft10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
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 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part210000000.00 43710000000.00 43910000000.00 433
thres100view90010000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
tfpnnormal10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
tfpn200view910000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
c3_l10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
IterMVS-SCA-FT10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
pmmvs610000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
pmmvs510000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
Anonymous2023121110000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
pmmvs-eth3d10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
Anonymous2023120610000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
SCA10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
Patchmatch-test10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
Patchmatch-RL test10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
canonicalmvs10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
anonymousdsp10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
FIs10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
FC-MVSNet-test10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
sosnet-low-res10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
AllTest10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
TestCases10000000.00 41810000000.00 43710000000.00 43910000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
RRT-MVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
balanced_ft_v110000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
HPM-MVS++copyleft10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
XVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
pm-mvs110000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
X-MVStestdata10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
APDe-MVScopyleft10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
pmmvs410000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
test-LLR10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
TESTMET0.1,110000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
test-mter10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
testgi10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
test20.0310000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
thres600view710000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
MP-MVScopyleft10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
thres40010000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
test12310000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
thres20010000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
test0.0.03 110000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
pmmvs310000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
EMVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
E-PMN10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
PGM-MVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
MCST-MVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
MVS_Test10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
PMMVS210000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
PM-MVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
HQP_MVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
plane_prior710000000.00 43710000000.00 439
plane_prior610000000.00 43710000000.00 43910000000.00 433
plane_prior110000000.00 437
mPP-MVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
mvsmamba10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
HPM-MVS_fast10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
HPM-MVScopyleft10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
LGP-MVS_train10000000.00 41810000000.00 43710000000.00 43910000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
EPNet_dtu10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP-NCC10000000.00 43710000000.00 43010000000.00 43310000000.00 433
ACMP_Plane10000000.00 43710000000.00 43010000000.00 43310000000.00 433
CNVR-MVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
NCCC10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
CP-MVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
NP-MVS10000000.00 43710000000.00 43910000000.00 429
CPTT-MVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
HQP-MVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
IS-MVSNet10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
PAPM_NR10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
PAPR10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
Vis-MVSNet (Re-imp)10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
PatchMatch-RL10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
TDRefinement10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
EPP-MVSNet10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
PMMVS10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
PAPM10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
ACMMPcopyleft10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
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 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
wuyk23d10000000.00 40510000000.00 40810000000.00 41810000000.00 43710000000.00 43910000000.00 43010000000.00 44010000000.00 43310000000.00 43310000000.00 42910000000.00 43310000000.00 43710000000.00 43310000000.00 43410000000.00 430
APD-MVScopyleft1000000000.00 5371000000000.00 5401000000000.00 5551000000000.00 5821000000000.00 5821000000000.00 5671000000000.00 5821000000000.00 5741000000000.00 5751000000000.00 5711000000000.00 5761000000000.00 5791000000000.00 5741000000000.00 5741000000000.00 571
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
Meshroomcopyleft1045.24 360
: In preparation.
AliceVision / Meshro1045.24 360
: In preparation.
AliceVision_Meshroomcopyleft1045.24 360
: In preparation.
PatchmatchNet1copyleft400.00 272400.00 346400.00 344
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
PatchmatchNet3copyleft400.00 301
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
WAC-MVS248.46 283422.23 275
PC_three_14527619.38 4102107.24 4017416.93 400610.24 3793088.29 4066075.14 4031078.39 3951159.26 393
test_241102_TWO515.86 3887016.02 4032363.85 4056894.28 394887.23 3973023.43 4025973.88 3991620.04 4071732.56 403
test_0728_THIRD5016.02 3851363.85 3754894.28 382387.23 3602023.43 3803973.88 382620.04 353732.56 358
GSMVS10000000.00 430
sam_mvs110000000.00 43310000000.00 430
sam_mvs10000000.00 433
MTGPAbinary10000000.00 440
test_post110000000.00 43010000000.00 42910000000.00 43310000000.00 43710000000.00 433
test_post10000000.00 42910000000.00 43310000000.00 437
patchmatchnet-post10000000.00 42910000000.00 43310000000.00 437
MTMP10000000.00 43010000000.00 440
test9_res0.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
test_prior40.00 10.00 1
test_prior20.00 10.00 10.00 10.00 10.00 10.00 10.00 1
旧先验20.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
无先验0.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM20.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
testdata10.00 10.00 1
plane_prior510000000.00 44010000000.00 43710000000.00 43310000000.00 43410000000.00 430
plane_prior410000000.00 429
plane_prior310000000.00 43910000000.00 43310000000.00 433
plane_prior210000000.00 43010000000.00 433
plane_prior1.00 1352.00 1732.00 1742.00 172
n214.20 235
nn1.42 143
door-mid1.42 143
test111.00 136
door99.00 315
HQP5-MVS10000000.00 439
BP-MVS10000000.00 433
HQP4-MVS10000000.00 43310000000.00 43710000000.00 430
HQP3-MVS10000000.00 44010000000.00 434
HQP2-MVS10000000.00 433
MDTV_nov1_ep13_2view9.99 1959.99 1939.99 1949.99 1939.99 2009.99 1919.99 194
ACMMP++_ref10000000.00 434
ACMMP++10000000.00 434
Test By Simon990.00 401