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 3981111233.77 40467.09 22365.59 22664.81 230284.50 22810000000.00 439219.97 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 3971111219.60 40375.70 23474.28 22873.29 237284.50 22811.35 223238.58 23665.86 242255.35 25114.55 224115.69 25310000000.00 43231.94 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 297438.24 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 361756.00 295609.00 33971.00 215106.00 298195.00 267102.00 225171.00 309346.00 335
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 311723.20 292238.80 283722.40 28663.10 283382.00 295629.00 300207.00 318164.10 296
ArgMatch-SfM559.81 286646.64 292299.29 289273.31 281302.88 2931966.31 32332.78 2671178.38 319242.47 2851172.35 32231.59 256476.65 308841.50 31781.11 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 306715.56 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 322244.73 2861126.48 32140.08 269476.71 309892.02 32090.03 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 312746.06 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 312746.06 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 326274.47 2931311.17 32535.52 259536.43 315953.83 32289.37 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 307717.99 290215.31 279811.97 298232.41 344358.74 288458.67 277114.88 282146.32 287
DenseAffine716.23 299826.00 302386.90 303338.46 293383.55 3092528.22 34139.18 2711519.44 338321.65 3051502.70 33938.50 264629.37 3321046.88 33499.01 278147.77 288
DELS-MVS514.57 284587.73 287295.12 288343.03 294328.09 3031540.48 316116.22 320988.59 308325.44 306906.22 305119.86 304365.72 292788.60 314161.09 306191.55 308
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 301637.74 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 298796.20 297283.32 297796.02 29496.78 292382.98 296636.72 302186.66 315152.46 290
DKM753.27 300870.09 309402.84 304361.88 297411.34 3142666.28 34543.92 2801620.97 342327.84 3071561.61 34242.38 270642.06 3341096.20 343109.69 280155.12 292
testing3-2489.51 281555.88 284290.42 285362.21 298319.27 2971424.84 31088.81 305964.80 307309.62 301879.13 303174.38 320363.98 289643.82 305155.29 298188.01 305
PMatch-SfM784.39 311906.45 317418.23 306363.55 299413.41 3152750.56 34742.96 2791663.64 343341.27 3091653.81 34342.46 271676.23 3361182.18 346117.60 286165.06 297
ACMH+729.97 2661.38 295754.00 297383.51 301368.96 300376.38 3082483.74 34082.42 3001089.25 317333.39 3081219.68 32366.53 285573.60 325957.86 323184.14 314200.56 311
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 308835.00 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 308835.00 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 302897.50 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 299880.86 300281.58 294834.27 300135.83 308333.22 286514.90 289140.56 296162.76 293
PMatch-Up-SfM815.39 314940.33 319440.56 307382.27 306431.17 3182810.50 34846.03 2831754.44 345360.71 3111728.19 34544.08 272722.27 3381214.00 347122.78 290168.24 298
SSC-MVS3.2667.82 296787.71 300308.16 291385.94 307327.65 3011718.51 318117.00 3211942.46 353317.12 3031488.73 337183.89 321404.82 303763.70 312172.02 310192.01 309
UBG667.82 296787.71 300308.16 291385.94 307327.65 3011718.51 318117.00 3211942.46 353317.12 3031488.73 337183.89 321404.82 303763.70 312172.02 310192.01 309
WBMVS655.88 294770.84 299310.98 293391.79 309353.00 3052280.68 32899.17 3151776.79 347301.20 3001123.23 320187.34 330390.28 299620.39 299156.98 301189.66 307
tpmvs501.65 283567.42 285304.33 290395.39 310356.32 3061512.04 315216.53 348994.15 309350.16 310804.16 297119.38 303380.98 294555.14 294159.87 305175.69 299
PatchmatchNet2copyleft400.00 311400.00 312400.00 246400.00 366400.00 268
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 3191034.60 316315.90 302874.00 301155.10 314402.20 302629.50 301158.80 303189.10 306
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
PMVScopyleft863.65 3957.08 3221054.11 331666.00 337401.00 313495.00 3233790.00 355279.00 3501607.00 341521.00 3311745.00 34790.00 2881105.00 361639.00 303415.00 346398.00 342
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
RoMa-SfM821.88 315947.65 320444.57 308404.53 314436.79 3192814.72 34948.36 2841757.60 346367.99 3141743.22 34650.35 278719.59 3371218.12 348123.95 291177.32 300
CSCG826.03 316963.29 321414.24 305421.52 315426.11 3162230.35 327179.52 3441827.44 348733.43 350933.12 307281.25 346545.23 3161800.35 359262.64 332271.38 323
DKM-HiRes889.49 3201027.58 330475.22 318423.85 316483.27 3213121.07 35052.45 2861928.03 352389.91 3151854.07 34950.60 279758.69 3411297.31 351130.95 292183.70 304
IB-MVS872.44 4616.41 292700.96 295362.78 300426.10 317409.25 3131822.69 320124.42 3311186.23 320366.85 3131079.42 317190.60 332451.78 307930.72 321181.59 313227.30 314
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 303887.02 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 303887.02 301282.92 295779.29 29098.57 295422.76 305502.40 281162.19 307163.87 294
ACMH993.80 5967.92 3231106.11 333553.33 324494.00 320534.00 3253581.00 353136.00 3331585.00 340478.00 3281871.00 35090.00 288839.00 3431460.00 352260.00 331287.00 326
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
RoMa-HiRes1034.45 3311193.62 334556.95 325500.36 321544.88 3343519.53 35261.60 2872201.60 358461.12 3192254.28 35460.98 282906.83 3471523.88 354159.21 304219.15 312
IterMVS615.05 291691.66 294385.23 302516.40 322454.80 3201863.80 321102.10 3161142.20 318364.10 3121093.20 319135.00 307480.40 310826.90 315181.20 312220.50 313
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
ACMM1311.08 81165.06 3361332.72 339662.07 336584.90 323715.99 3494373.59 360153.99 3411880.27 350709.02 3472316.97 355188.63 331939.89 3491484.30 353302.78 339330.34 332
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
new-patchmatchnet766.12 302859.03 306487.38 321595.68 324536.14 3262346.27 330142.51 3361488.08 329422.43 3161361.32 328163.65 317628.60 3301003.74 332207.61 319297.41 328
ACMP1246.57 71086.24 3321235.17 336639.45 332596.53 325639.91 3443904.24 356152.04 3391851.54 349566.58 3371997.95 352138.50 309938.30 3481605.46 355303.70 340340.14 333
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
SixPastTwentyTwo773.62 303869.37 308486.35 320603.45 326547.15 3362532.14 342106.92 3181434.95 328428.08 3171360.56 327165.15 318628.96 331984.09 324209.01 320282.94 325
IterMVS-LS758.94 301856.56 305466.10 317606.60 327546.80 3352309.90 329122.20 3301402.80 327463.50 3201348.20 326192.60 333574.60 3261028.60 333234.60 330276.90 324
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
MG-MVS1256.50 3381432.00 341730.00 341610.00 328760.00 3514720.00 361169.00 3421920.00 351723.00 3492510.00 361201.00 3361050.00 3591645.00 357390.00 344380.00 339
RE-MVS-def610.10 289610.10 329610.10 342610.10 268610.10 394610.10 281610.10 340610.10 276610.10 376610.10 297610.10 350610.10 348
SR-MVS610.10 289610.10 289610.10 331610.10 329610.10 342610.10 268610.10 394610.10 281610.10 340610.10 276610.10 376610.10 328610.10 297610.10 350610.10 348
GG-mvs-BLEND596.01 329611.29 331600.33 339790.30 275513.12 385552.71 333567.40 270662.54 388531.67 311503.93 283779.80 367656.02 351
gm-plane-assit611.29 331600.33 339579.21 274567.40 270531.67 311503.93 283
CR-MVSNet612.36 290617.81 291596.01 329611.29 331600.33 339790.30 275513.12 385579.21 274552.71 333567.40 270662.54 388531.67 311503.93 283779.80 367656.02 351
Gipumacopyleft689.75 298767.00 298458.00 316613.00 334549.00 3371943.00 322187.00 3451230.00 321518.00 3301092.00 318203.00 338564.00 317892.00 319225.00 328261.00 322
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
gg-mvs-nofinetune594.69 288605.37 288562.67 326617.29 335500.33 324772.30 274413.12 370579.21 274552.71 333567.40 270662.54 388531.67 311503.93 283779.80 367656.02 351
mvs_anonymous774.90 304882.28 310452.77 309636.50 336537.20 3272348.80 331120.30 3231504.30 330474.40 3211371.10 329186.90 323564.70 3181078.90 336219.30 321256.40 315
casdiffmvspermissive774.90 304882.28 310452.77 309636.50 336537.20 3272348.80 331120.30 3231504.30 330474.40 3211371.10 329186.90 323564.70 3181078.90 336219.30 321256.40 315
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 304882.28 310452.77 309636.50 336537.20 3272348.80 331120.30 3231504.30 330474.40 3211371.10 329186.90 323564.70 3181078.90 336219.30 321256.40 315
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 304882.28 310452.77 309636.50 336537.20 3272348.80 331120.30 3231504.30 330474.40 3211371.10 329186.90 323564.70 3181078.90 336219.30 321256.40 315
baseline1774.90 304882.28 310452.77 309636.50 336537.20 3272348.80 331120.30 3231504.30 330474.40 3211371.10 329186.90 323564.70 3181078.90 336219.30 321256.40 315
casdiffmvs_mvgpermissive774.90 304882.28 310452.77 309636.50 336537.20 3272348.80 331120.30 3231504.30 330474.40 3211371.10 329186.90 323564.70 3181078.90 336219.30 321256.40 315
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 304882.28 310452.77 309636.50 336537.20 3272348.80 331120.30 3231504.30 330474.40 3211371.10 329186.90 323564.70 3181078.90 336219.30 321256.40 315
PVSNet1207.94 6829.56 317937.18 318506.69 322645.55 343585.72 3382477.98 339130.52 3321578.29 339509.50 3291460.01 336194.90 334637.19 3331170.78 345267.07 334297.17 327
FPMVS1407.00 3411495.59 3431141.23 354648.01 344893.85 3584124.00 357503.81 3843219.04 366742.72 3512498.84 360157.98 3151727.83 368832.93 316732.98 366802.00 360
lessismore_v0569.20 327667.25 345644.68 34596.45 310428.86 3181514.17 340204.21 339756.58 3391061.60 335197.79 317306.34 329
PVSNet_01661.03 9968.54 3241066.82 332673.70 338706.94 346695.69 3472669.02 346153.52 3402108.17 356605.54 3381679.14 344213.26 342886.75 3461236.76 350229.01 329438.67 344
MSLP-MVS++1242.93 3371411.08 340738.48 342712.71 347712.68 3484168.17 358136.50 3342276.40 359613.28 3422368.60 358161.61 3161130.38 3621964.54 362297.88 337372.39 338
MVSTER890.06 3211005.91 329542.52 323736.13 348653.90 3462616.56 344145.22 3381692.10 344555.69 3361554.72 341266.25 345660.02 3351219.66 349266.84 333313.64 331
MVS_111021_LR1136.45 3351298.72 338649.64 333756.17 349726.26 3503785.94 354138.15 3352190.64 357629.63 3432064.39 353165.45 319874.83 3451678.43 358279.70 335347.82 336
DeepC-MVS_fast2190.19 121535.59 3421886.82 346481.89 319847.73 350830.16 3557943.84 380189.23 3462398.83 360691.73 3462341.13 356209.16 340230.25 2711999.25 363360.46 342385.25 340
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 313835.64 304710.26 340885.90 351895.90 359455.98 255668.73 3991297.17 3231002.26 3621001.67 315655.98 386756.98 340667.90 306885.21 379477.90 345
RPMNet787.26 312829.13 303661.63 335885.90 351895.90 359455.98 255610.10 3941297.17 3231002.26 3621001.67 315655.98 386611.10 329667.90 306885.21 379477.90 345
ACMMPR1296.60 3391480.82 342743.96 343899.25 353763.47 3524305.47 359143.90 3372530.94 362683.99 3442346.34 357201.65 3371098.25 3601920.59 361295.21 336370.16 337
test_04021110.00 3341260.00 337660.00 334900.00 354780.00 3533300.00 351210.00 3472040.00 355690.00 3451950.00 351300.00 349810.00 3421620.00 356330.00 341390.00 341
TSAR-MVS + GP.1386.84 3401622.84 344678.81 339952.13 355840.17 3565358.21 364170.75 3432650.47 363713.54 3482394.28 359209.42 341855.56 3441854.36 360302.42 338340.71 334
ambc999.00 346999.00 356999.00 361999.00 290999.00 410999.00 355999.00 308999.00 401999.00 352999.00 325999.00 386999.00 383
OurMVSNet-221017-0999.00 325999.00 323999.00 346999.00 356999.00 361999.00 290999.00 410999.00 310999.00 355999.00 308999.00 401999.00 352999.00 325999.00 386999.00 383
EPMVS999.00 325999.00 323999.00 346999.00 356999.00 361999.00 290999.00 410999.00 310999.00 355999.00 308999.00 401999.00 352999.00 325999.00 386999.00 383
uanet_test1000.00 3271000.00 3251000.00 3491000.00 3591000.00 3641000.00 2931000.00 4131000.00 3121000.00 3581000.00 3111000.00 4041000.00 3551000.00 3281000.00 3891000.00 386
sosnet1000.00 3271000.00 3251000.00 3491000.00 3591000.00 3641000.00 2931000.00 4131000.00 3121000.00 3581000.00 3111000.00 4041000.00 3551000.00 3281000.00 3891000.00 386
USDC1000.00 3271000.00 3251000.00 3491000.00 3591000.00 3641000.00 2931000.00 4131000.00 3121000.00 3581000.00 3111000.00 4041000.00 3551000.00 3281000.00 3891000.00 386
TinyColmap1000.00 3271000.00 3251000.00 3491000.00 3591000.00 3641000.00 2931000.00 4131000.00 3121000.00 3581000.00 3111000.00 4041000.00 3551000.00 3281000.00 3891000.00 386
COLMAP_ROBcopyleft2144.59 111658.33 3431869.33 3451025.33 3531030.00 3631023.00 3685311.00 363359.00 3593044.00 364937.00 3542892.00 362332.00 3531440.00 3652312.00 365607.00 349613.00 350
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 3442113.11 3471173.33 3571231.00 3641174.00 3696297.00 366392.00 3643356.00 3681087.00 3643082.00 363361.00 3571670.00 3672523.00 367689.00 356676.00 355
OpenMVS_ROBcopyleft1936.51 101959.51 3452224.88 3491163.39 3561253.91 3651434.22 3727065.71 370272.76 3492472.29 3611647.54 3943538.72 367200.37 3351496.48 3662575.17 368997.45 385559.48 347
Patchmtry1090.75 3331198.88 335766.38 3441290.90 366485.90 3222423.98 3381267.30 4171297.17 323923.90 352923.40 3061215.54 409990.23 350667.90 306779.80 367823.02 365
PatchT856.34 318860.99 307842.38 3451290.90 366880.90 357790.30 2751267.30 417579.21 274923.90 352567.40 270662.54 388990.23 350887.56 318779.80 367656.02 351
K. test v3877.74 319980.16 322570.46 3281316.85 368813.15 3542565.52 343103.78 3171509.49 337548.33 3321258.90 324219.93 343587.82 3271102.37 344196.30 316310.42 330
PLCcopyleft2858.82 162192.92 3482474.00 3511349.67 3591407.00 3691356.00 3717164.00 371475.00 3773970.00 3721237.00 3713765.00 370451.00 3641891.00 3733006.00 371791.00 372802.00 360
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
CMPMVSbinary2623.62 151983.08 3462156.14 3481463.89 3671414.80 3701517.00 3745239.20 362867.40 4043310.30 3671128.70 3663489.90 366366.75 3582030.20 3792427.60 3661160.60 398844.46 368
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
ZD-MVS1584.00 3711821.00 394378.00 3623721.00 3701231.00 3691833.00 348321.00 3521224.00 3632103.00 364692.00 360
Vis-MVSNetpermissive2877.42 3613170.00 3641999.67 3821673.00 3722042.00 4008593.00 384474.00 3766452.00 3971268.00 3725125.00 384339.00 3543004.00 3974222.00 387384.00 343953.00 379
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
PCF-MVS4335.85 202272.23 3502597.03 3531297.84 3581701.20 3731332.37 3708105.11 381451.45 3734031.84 3731099.10 3653966.50 371467.45 3651734.05 3692701.68 370848.94 376827.11 366
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
test_0728_SECOND1451.45 3641725.60 3741598.35 3789203.30 387315.86 3532023.43 3763973.88 381620.04 352732.56 357
test07261725.60 3741598.35 3789203.30 387315.86 3535016.02 3841363.85 3744894.28 381387.23 359
SD-MVS2654.53 3573055.56 3621451.45 3641725.60 3741598.35 3789203.30 387315.86 3535016.02 3841363.85 3744894.28 381387.23 3592023.43 3763973.88 381620.04 352732.56 357
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 3542839.56 3571606.00 3681732.00 3771557.00 3768375.00 383483.00 3784370.00 3781371.00 3774200.00 372350.00 3552207.00 3803877.00 380798.00 3731054.00 390
LF4IMVS2699.50 3593049.67 3611649.00 3701755.00 3781689.00 3858330.00 382464.00 3754997.00 3831528.00 3804763.00 380568.00 3742296.00 3824215.00 386827.00 375962.00 380
DPM-MVS3268.00 3653762.89 3681783.33 3751756.00 3791806.00 39212319.00 403307.00 3516319.00 3951557.00 3855763.00 387302.00 3502609.00 3895061.00 392482.00 347935.00 377
OPM-MVS3268.00 3653762.89 3681783.33 3751756.00 3791806.00 39212319.00 403307.00 3516319.00 3951557.00 3855763.00 387302.00 3502609.00 3895061.00 392482.00 347935.00 377
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
OpenMVScopyleft2352.88 132263.08 3492530.89 3521459.67 3661767.00 3811591.00 3777932.00 379399.00 3653643.00 3691176.00 3673569.00 368297.00 3481927.00 3753302.00 373693.00 361861.00 369
tpmrst2557.50 3552847.12 3581688.66 3711784.08 3821778.25 3917445.50 377342.14 3564471.54 3791534.55 3814382.10 376530.10 3712361.21 3834142.81 384991.22 384926.51 375
AdaColmapbinary2570.77 3562948.61 3591437.24 3631873.64 3831526.60 3757819.77 378373.97 3604970.45 3821479.29 3794648.46 378525.80 3701904.97 3744150.42 385695.69 362880.14 373
SteuartSystems-ACMMP2891.50 3623284.78 3651711.67 3721954.00 3841655.00 38410117.00 400445.00 3725102.00 3871375.00 3785126.00 385351.00 3562638.00 3934402.00 388691.00 359842.00 367
Skip Steuart: Steuart Systems R&D Blog.
ITE_SJBPF2014.00 3831998.00 3851992.00 398701.00 4005989.00 3891812.00 3983612.00 369650.00 3822852.00 3964601.00 3901195.00 3991198.00 396
tpm23617.85 3694007.23 3712449.73 3892012.71 3861698.05 3867351.19 373869.29 4056132.06 3901588.28 3888007.42 4051281.09 4103888.11 4107472.04 4101351.00 4001763.02 406
tpm cat13617.85 3694007.23 3712449.73 3892012.71 3861698.05 3867351.19 373869.29 4056132.06 3901588.28 3888007.42 4051281.09 4103888.11 4107472.04 4101351.00 4001763.02 406
CostFormer3617.85 3694007.23 3712449.73 3892012.71 3861698.05 3867351.19 373869.29 4056132.06 3901588.28 3888007.42 4051281.09 4103888.11 4107472.04 4101351.00 4001763.02 406
tpm3617.85 3694007.23 3712449.73 3892012.71 3861698.05 3867351.19 373869.29 4056132.06 3901588.28 3888007.42 4051281.09 4103888.11 4107472.04 4101351.00 4001763.02 406
CHOSEN 280x4202340.81 3512643.03 3541434.14 3602025.55 3901629.36 3816542.40 367412.49 3674219.70 3751547.02 3824328.52 373650.74 3831798.26 3703333.17 374727.72 363874.79 370
CHOSEN 1792x26882340.81 3512643.03 3541434.14 3602025.55 3901629.36 3816542.40 367412.49 3674219.70 3751547.02 3824328.52 373650.74 3831798.26 3703333.17 374727.72 363874.79 370
HyFIR lowres test2340.81 3512643.03 3541434.14 3602025.55 3901629.36 3816542.40 367412.49 3674219.70 3751547.02 3824328.52 373650.74 3831798.26 3703333.17 374727.72 363874.79 370
DVP-MVS++3981.10 3754731.32 3801730.42 3732191.51 3931949.98 39616473.90 412355.33 3577172.90 4061622.98 3927879.79 403434.33 3622428.11 3855762.12 395689.04 357813.18 363
DVP-MVScopyleft3981.10 3754731.32 3801730.42 3732191.51 3931949.98 39616473.90 412355.33 3577172.90 4061622.98 3927879.79 403434.33 3622428.11 3855762.12 395689.04 357813.18 363
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 3633537.00 3661975.67 3792310.00 3952005.00 39910100.00 399626.00 3975753.00 3881803.00 3975179.00 386487.00 3662622.00 3914550.00 3891025.00 3931300.00 397
TSAR-MVS + MP.3528.01 3684065.89 3751914.35 3782349.10 3962141.30 40112362.70 405417.60 3716717.80 4011759.40 3966497.50 390518.18 3692629.38 3925164.32 394806.40 374972.38 382
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 3583021.57 3601618.12 3692377.67 3971751.39 3908915.70 386567.44 3924569.74 3801236.84 3704615.63 377513.23 3682291.32 3813515.48 377882.39 378811.66 362
GST-MVS4000.00 3774533.33 3782400.00 3882400.00 3982400.00 4047200.00 3722400.00 4217200.00 4082400.00 4087200.00 3972400.00 4142400.00 3847200.00 4082400.00 4122400.00 411
MVS_111021_HR3742.80 3734330.34 3761980.20 3802484.31 3992259.52 40314973.80 410515.90 3916500.13 3981949.21 3996146.89 389535.66 3722593.66 3884880.76 391986.37 3831087.43 391
DeepC-MVS3917.13 193155.06 3643601.83 3671814.72 3772515.52 4001941.53 39510432.50 401589.42 3934789.45 3811298.65 3737677.31 402578.35 3752589.53 3873611.78 379923.52 381913.10 374
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 3673806.99 3702078.63 3842535.47 4012499.25 4108816.16 385456.05 3746255.60 3941664.52 3956704.88 392629.95 3812768.38 3946343.93 406856.35 377968.25 381
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
FOURS12643.17 4022465.14 40513996.40 407493.26 3797619.38 4092107.24 400
MSC_two_6792asdad2237.56 3852643.17 4022465.14 405493.26 3793088.29 4026075.14 4021078.39 3941159.26 392
No_MVS2237.56 3852643.17 4022465.14 405493.26 3793088.29 4026075.14 4021078.39 3941159.26 392
test_one_06012643.17 4022465.14 405493.26 3797619.38 4092107.24 4007416.93 399610.24 378
SED-MVS4062.74 3784671.13 3792237.56 3852643.17 4022465.14 40513996.40 407493.26 3797619.38 4092107.24 4007416.93 399610.24 3783088.29 4026075.14 4021078.39 3941159.26 392
IU-MVS2725.60 4072598.35 411515.86 3877016.02 4022363.85 4045973.88 3981620.04 4061732.56 402
OPU-MVS2451.45 3932725.60 4072598.35 4119203.30 3876894.28 393887.23 3963023.43 3985973.88 3981620.04 4061732.56 402
test_241102_ONE2725.60 4072598.35 411515.86 3877016.02 4022363.85 4046894.28 393887.23 3963023.43 398
MSP-MVS4296.20 3794911.12 3832451.45 3932725.60 4072598.35 41116203.30 411515.86 3877016.02 4022363.85 4046894.28 393887.23 3963023.43 3985973.88 3981620.04 4061732.56 402
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 3472452.68 3501143.53 3552938.33 4111446.92 3736083.19 365391.74 3633801.71 3711202.10 3683439.72 365492.73 3671304.35 3643048.25 372676.32 355679.32 356
EGC-MVSNET2819.75 3603096.89 3631988.33 3813105.00 4122241.00 4029480.00 391640.00 3984209.00 3741583.00 3874740.00 379547.00 3732797.00 3952644.00 369924.00 382927.00 376
TestfortrainingZip3151.39 3983151.39 4133151.39 41721344.80 4143151.39 4223151.39 3653151.39 4123151.39 3643151.39 4163151.39 4063151.39 4143151.39 412
MAR-MVS3973.16 3744387.92 3772728.86 3953345.27 4143341.39 41811403.90 402798.76 4026555.62 4002569.29 4096514.86 391834.97 3953237.43 4075891.08 3971577.54 4051607.76 398
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 3804906.56 3822803.67 3963844.00 4153116.00 41613454.00 406901.00 4096511.00 3992794.00 4107365.00 398754.00 3923634.00 4086622.00 4071914.00 4111661.00 401
CLD-MVS7338.25 3828341.00 3854330.00 3994902.00 4164991.00 41923318.00 419728.00 40114437.00 4234378.00 41413379.00 417824.00 3945708.00 41411429.00 4231674.00 4102291.00 410
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 3815748.82 3842842.58 3974905.27 4173101.27 41514933.60 409812.24 4039278.40 4132959.29 4118800.17 4091092.24 4083806.30 4097568.54 4141389.60 4041620.18 400
LS3D7684.71 3838776.23 3864410.16 4005298.55 4185631.53 42034329.90 4211504.57 41911554.00 4223896.41 41315111.00 418812.19 3935985.63 4153516.20 3782963.23 4131613.31 399
MVEpermissive10021.00 2210550.67 39110002.44 39412195.33 4096242.00 4198768.00 42230896.00 4204451.00 42310331.00 4216247.00 41518296.00 419283.00 34721484.00 4247364.00 4095912.00 4166334.00 414
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 39211772.44 3957637.33 4019120.00 4208206.00 42122252.00 4182010.00 42024984.00 4247458.00 41622596.00 4202940.00 41510260.00 42311100.00 4223492.00 4154446.00 413
ZNCC-MVS9999.00 3849999.00 3879999.00 4029999.00 4219999.00 4239999.00 3929999.00 4269999.00 4149999.00 4179999.00 4109999.00 4189999.00 4169999.00 4159999.00 4179999.00 415
patch_mono-210000.00 38510000.00 38810000.00 40310000.00 42210000.00 42410000.00 39310000.00 42710000.00 41510000.00 41810000.00 41110000.00 41910000.00 41710000.00 41610000.00 41810000.00 416
dcpmvs_210000.00 38510000.00 38810000.00 40310000.00 42210000.00 42410000.00 39310000.00 42710000.00 41510000.00 41810000.00 41110000.00 41910000.00 41710000.00 41610000.00 41810000.00 416
DCPMVS10000.00 38510000.00 38810000.00 40310000.00 42210000.00 42410000.00 39310000.00 42710000.00 41510000.00 41810000.00 41110000.00 41910000.00 41710000.00 41610000.00 41810000.00 416
UA-Net10000.00 38510000.00 38810000.00 40310000.00 42210000.00 42410000.00 39310000.00 42710000.00 41510000.00 41810000.00 41110000.00 41910000.00 41710000.00 41610000.00 41810000.00 416
uncertanet10000.00 38510000.00 38810000.00 40310000.00 42210000.00 42410000.00 39310000.00 42710000.00 41510000.00 41810000.00 41110000.00 41910000.00 41710000.00 41610000.00 41810000.00 416
uanet10000.00 38510000.00 38810000.00 40310000.00 42210000.00 42410000.00 39310000.00 42710000.00 41510000.00 41810000.00 41110000.00 41910000.00 41710000.00 41610000.00 41810000.00 416
LTVRE_ROB20565.47 2323378.08 39322805.00 39625097.33 41015500.00 42819201.00 43042712.00 4226055.00 42438388.00 42516926.00 42438534.00 4217071.00 41735653.00 42529475.00 42410584.00 42420438.00 423
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 39434443.44 39727094.33 41129249.00 42925246.00 43151144.00 4236705.00 42542886.00 42622888.00 42548534.00 42213263.00 42537507.00 42679298.00 42516024.00 42518530.00 422
test-26052499999.00 43099999.00 43299999.00 43399999.00 42699999.00 42699999.00 42799999.00 42699999.00 426
114514_t99999.00 39599999.00 39899999.00 41299999.00 43099999.00 43299999.00 42499999.00 43399999.00 42799999.00 42699999.00 42399999.00 42699999.00 42799999.00 42699999.00 42699999.00 424
PHI-MVS99999.00 39599999.00 39899999.00 41299999.00 43099999.00 43299999.00 42499999.00 43399999.00 42799999.00 42699999.00 42399999.00 42699999.00 42799999.00 42699999.00 42699999.00 424
XVG-OURS-SEG-HR999999.00 399999999.00 400999999.00 414999999.00 433999999.00 435999999.00 426999999.00 436999999.00 429999999.00 429999999.00 425999999.00 429999999.00 430999999.00 429999999.00 430999999.00 426
XVG-OURS999999.00 399999999.00 400999999.00 414999999.00 433999999.00 435999999.00 426999999.00 436999999.00 429999999.00 429999999.00 425999999.00 429999999.00 430999999.00 429999999.00 430999999.00 426
XVG-ACMP-BASELINE999999.00 399999999.00 400999999.00 414999999.00 433999999.00 435999999.00 426999999.00 436999999.00 429999999.00 429999999.00 425999999.00 429999999.00 430999999.00 429999999.00 430999999.00 426
aaatest10000000.00 41710000000.00 43610000000.00 43821344.80 41410000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43310000000.00 43210000000.00 43310000000.00 429
MED-MVS8343445.32 4027791260.42 40510000000.00 41710000000.00 43610000000.00 43821344.80 41410000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43299999.00 42610000000.00 429
TestfortrainingZip a9168445.40 4038891260.53 40610000000.00 41710000000.00 43610000000.00 43821344.80 41410000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
mamba_040810000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
icg_test_0407_210000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
SSM_0407210000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
SSM_040710000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
IMVS_040710000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
IMVS_040410000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
SSM_040410000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
IMVS_040310000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
SD_040310000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
aaEdge-Enhanced10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
NormalMVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
lecture10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
SymmetryMVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
Elysia10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
StellarMVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
KinetiMVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
LuminaMVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
VortexMVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
AstraMVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
guyue10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
sc_t110000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
tt0320-xc10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
tt032010000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
MVSMamba_PlusPlus10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
MGCFI-Net10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
sasdasda10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
dmvs_re10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
SDMVSNet10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
dmvs_testset10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
sd_testset10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
BridgeMVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
MonoMVSNet10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
test250610000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
test111110000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
ECVR-MVScopyleft10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
test_blank10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
tt080510000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
eth-test10000000.00 436
Anonymous2024052110000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
cl2210000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
miper_ehance_all_eth10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
miper_enhance_ethall10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
cl____10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
DIV-MVS_self_test10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
eth_miper_zixun_eth10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
ET-MVSNet_ETH3D10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
UniMVSNet_ETH3D10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
miper_lstm_enhance10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
D2MVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
test_yl10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
thisisatest053010000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
Anonymous2024052910000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
Anonymous20240521110000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
DCV-MVSNet10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
tttt051710000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
our_test_310000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
thisisatest051510000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
ppachtmachnet_test10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
SMA-MVScopyleft10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
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 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part210000000.00 43610000000.00 43810000000.00 432
thres100view90010000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
tfpnnormal10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
tfpn200view910000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
c3_l10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
IterMVS-SCA-FT10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
pmmvs610000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
pmmvs510000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
Anonymous2023121110000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
pmmvs-eth3d10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
Anonymous2023120610000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
SCA10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
Patchmatch-test10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
Patchmatch-RL test10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
canonicalmvs10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
anonymousdsp10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
FIs10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
FC-MVSNet-test10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
sosnet-low-res10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
AllTest10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
TestCases10000000.00 41710000000.00 43610000000.00 43810000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
RRT-MVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
balanced_ft_v110000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
HPM-MVS++copyleft10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
XVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
pm-mvs110000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
X-MVStestdata10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
APDe-MVScopyleft10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
pmmvs410000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
test-LLR10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
TESTMET0.1,110000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
test-mter10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
testgi10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
test20.0310000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
thres600view710000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
MP-MVScopyleft10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
thres40010000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
test12310000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
thres20010000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
test0.0.03 110000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
pmmvs310000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
EMVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
E-PMN10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
PGM-MVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
MCST-MVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
MVS_Test10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
PMMVS210000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
PM-MVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
HQP_MVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
plane_prior710000000.00 43610000000.00 438
plane_prior610000000.00 43610000000.00 43810000000.00 432
plane_prior110000000.00 436
mPP-MVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
mvsmamba10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
HPM-MVS_fast10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
HPM-MVScopyleft10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
LGP-MVS_train10000000.00 41710000000.00 43610000000.00 43810000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
EPNet_dtu10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP-NCC10000000.00 43610000000.00 42910000000.00 43210000000.00 432
ACMP_Plane10000000.00 43610000000.00 42910000000.00 43210000000.00 432
CNVR-MVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
NCCC10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
CP-MVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
NP-MVS10000000.00 43610000000.00 43810000000.00 428
CPTT-MVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
HQP-MVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
IS-MVSNet10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
PAPM_NR10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
PAPR10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
Vis-MVSNet (Re-imp)10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
PatchMatch-RL10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
TDRefinement10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
EPP-MVSNet10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
PMMVS10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
PAPM10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
ACMMPcopyleft10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
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 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
wuyk23d10000000.00 40410000000.00 40710000000.00 41710000000.00 43610000000.00 43810000000.00 42910000000.00 43910000000.00 43210000000.00 43210000000.00 42810000000.00 43210000000.00 43310000000.00 43210000000.00 43310000000.00 429
APD-MVScopyleft1000000000.00 5361000000000.00 5391000000000.00 5541000000000.00 5811000000000.00 5811000000000.00 5661000000000.00 5811000000000.00 5731000000000.00 5741000000000.00 5701000000000.00 5751000000000.00 5751000000000.00 5731000000000.00 5731000000000.00 570
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
PatchmatchNet1copyleft400.00 272400.00 345400.00 343
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 4092107.24 4007416.93 399610.24 3783088.29 4026075.14 4021078.39 3941159.26 392
test_241102_TWO515.86 3877016.02 4022363.85 4046894.28 393887.23 3963023.43 3985973.88 3981620.04 4061732.56 402
test_0728_THIRD5016.02 3841363.85 3744894.28 381387.23 3592023.43 3763973.88 381620.04 352732.56 357
GSMVS10000000.00 429
sam_mvs110000000.00 43210000000.00 429
sam_mvs10000000.00 432
MTGPAbinary10000000.00 439
test_post110000000.00 42910000000.00 42810000000.00 43210000000.00 43310000000.00 432
test_post10000000.00 42810000000.00 43210000000.00 433
patchmatchnet-post10000000.00 42810000000.00 43210000000.00 433
MTMP10000000.00 42910000000.00 439
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 43910000000.00 43310000000.00 43210000000.00 43310000000.00 429
plane_prior410000000.00 428
plane_prior310000000.00 43810000000.00 43210000000.00 432
plane_prior210000000.00 42910000000.00 432
plane_prior1.00 1352.00 1732.00 1742.00 172
n214.20 235
nn1.42 143
door-mid1.42 143
test111.00 136
door99.00 314
HQP5-MVS10000000.00 438
BP-MVS10000000.00 432
HQP4-MVS10000000.00 43210000000.00 43310000000.00 429
HQP3-MVS10000000.00 43910000000.00 433
HQP2-MVS10000000.00 432
MDTV_nov1_ep13_2view9.99 1959.99 1939.99 1949.99 1939.99 2009.99 1919.99 194
ACMMP++_ref10000000.00 433
ACMMP++10000000.00 433
Test By Simon990.00 400