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 bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
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
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_prior40.00 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-mvs330.30 920.30 930.30 970.30 1040.30 1040.30 1040.30 1050.30 1040.30 1030.30 1010.30 1030.30 1040.30 1020.30 1020.30 102
hse-mvs20.30 920.30 930.30 970.30 1040.30 1040.30 1040.30 1050.30 1040.30 1030.30 1010.30 1030.30 1040.30 1020.30 1020.30 102
CL-MVSNet_self_test0.30 920.30 930.30 970.30 1040.30 1040.30 1040.30 1050.30 1040.30 1030.30 1010.30 1030.30 1040.30 1020.30 1020.30 102
AUN-MVS0.30 920.30 930.30 970.30 1040.30 1040.30 1040.30 1050.30 1040.30 1030.30 1010.30 1030.30 1040.30 1020.30 1020.30 102
LCM-MVSNet0.37 960.36 970.37 1010.37 1080.37 1080.37 1080.32 1090.37 1080.37 1070.37 1050.37 1070.37 1080.37 1060.37 1060.37 106
v1441920.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v19219200.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v11920.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v11440.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v1480.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v7n0.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v12400.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v80.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v100.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v2v4820.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
V420.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
GA-MVS0.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
Fast-Effi-MVS+0.41 1090.40 980.41 1140.41 1210.41 1210.41 1210.35 1100.41 1210.41 1200.41 1180.41 1200.41 1210.41 1190.41 1190.41 119
Fast-Effi-MVS+-dtu0.44 1100.44 1110.44 1150.44 1220.44 1220.44 1220.44 1230.44 1220.44 1210.44 1190.44 1210.44 1220.44 1200.44 1200.44 120
Effi-MVS+-dtu0.59 1120.61 1140.53 1160.68 1300.53 1230.53 1230.68 1310.68 1300.53 1220.53 1200.68 1290.53 1230.68 1280.53 1210.53 121
KD-MVS_self_test0.60 1130.60 1130.60 1170.60 1240.60 1240.60 1250.60 1250.60 1240.60 1230.60 1210.60 1230.60 1240.60 1210.60 1230.60 122
EIA-MVS0.62 1140.62 1150.62 1180.62 1250.62 1250.62 1260.62 1260.62 1250.62 1240.62 1220.62 1240.62 1250.62 1220.62 1240.62 123
ETV-MVS0.62 1140.62 1150.62 1180.62 1250.62 1250.62 1260.62 1260.62 1250.62 1240.62 1220.62 1240.62 1250.62 1220.62 1240.62 123
CS-MVS0.62 1140.62 1150.62 1180.62 1250.62 1250.62 1260.62 1260.62 1250.62 1240.62 1220.62 1240.62 1250.62 1220.62 1240.62 123
SPE-MVS-test0.62 1140.62 1150.62 1180.62 1250.62 1250.62 1260.62 1260.62 1250.62 1240.62 1220.62 1240.62 1250.62 1220.62 1240.62 123
Effi-MVS+0.58 1110.56 1120.62 1180.53 1230.62 1250.53 1230.53 1240.53 1230.62 1240.62 1220.53 1220.62 1250.62 1220.53 1210.62 123
EC-MVSNet0.62 1140.62 1150.62 1180.62 1250.62 1250.62 1260.62 1260.62 1250.62 1240.62 1220.62 1240.62 1250.62 1220.62 1240.62 123
CDS-MVSNet0.88 1190.88 1200.88 1240.88 1310.88 1310.88 1310.88 1320.88 1310.88 1300.88 1280.88 1300.88 1310.88 1290.88 1290.88 129
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 1190.88 1200.88 1240.88 1310.88 1310.88 1310.88 1320.88 1310.88 1300.88 1280.88 1300.88 1310.88 1290.88 1290.88 129
LCM-MVSNet-Re0.89 1210.89 1220.89 1260.89 1330.89 1330.89 1330.89 1340.89 1330.89 1320.89 1300.89 1320.89 1330.89 1310.89 1310.89 131
plane_prior1.00 1342.00 1722.00 1732.00 171
DeepMVS_CXcopyleft1.00 1271.00 1341.00 1341.00 1351.00 1341.00 1331.00 1311.00 1331.00 1341.00 1321.00 1321.00 132
MDA-MVSNet-bldmvs1.20 1221.20 1231.20 1281.20 1351.20 1361.20 1341.20 1371.20 1351.20 1341.20 1321.20 1341.20 1351.20 1331.20 1331.20 133
YYNet11.20 1221.20 1231.20 1281.20 1351.20 1361.20 1341.20 1371.20 1351.20 1341.20 1321.20 1341.20 1351.20 1331.20 1331.20 133
MDA-MVSNet_test_wron1.20 1221.20 1231.20 1281.20 1351.20 1361.20 1341.20 1371.20 1351.20 1341.20 1321.20 1341.20 1351.20 1331.20 1331.20 133
KD-MVS_2432*16001.30 1251.30 1261.30 1311.30 1381.30 1391.30 1371.30 1401.30 1381.30 1371.30 1351.30 1371.30 1381.30 1361.30 1361.30 136
miper_refine_blended1.30 1251.30 1261.30 1311.30 1381.30 1391.30 1371.30 1401.30 1381.30 1371.30 1351.30 1371.30 1381.30 1361.30 1361.30 136
EI-MVSNet-UG-set1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
EI-MVSNet-Vis-set1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
EI-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
Regformer1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
CVMVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
EU-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
PS-CasMVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
UniMVSNet_NR-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
PEN-MVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
TransMVSNet (Re)1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
DTE-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
DU-MVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
UniMVSNet (Re)1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
CP-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
WR-MVS_H1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
WR-MVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
NR-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
Baseline_NR-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
TranMVSNet+NR-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
MVSFormer1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
jason1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
jason: jason.
lupinMVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
test_djsdf1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
reproduce_monomvs1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
mmtdpeth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
reproduce_model1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
reproduce-ours1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
our_new_method1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
mmdepth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
monomultidepth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
mvs5depth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
MVStest11.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
ttmdpeth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
alignmvs2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
nrg0302.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
LFMVS2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VDD-MVS2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VDDNet2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VPNet2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VNet2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VPA-MVSNet2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
cascas2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
UnsupCasMVSNet_eth5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
UnsupCasMVSNet_bld5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
WTY-MVS5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
HY-MVS5.90 15.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
sss5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
Test_1112_low_res5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
1112_ss5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
ab-mvs-re5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
ab-mvs5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
CDPH-MVS6.66 1786.66 1796.66 1846.66 1926.66 1926.66 1916.66 1986.66 1926.66 1906.66 1886.66 1926.66 1916.66 1896.66 1926.66 192
dp87.20 203113.80 2077.42 18510.50 2048.88 193298.82 2242.70 186510.35 2657.79 191172.93 2173.37 1819.16 19214.00 2033.71 1814.23 181
MDTV_nov1_ep13_2view9.99 1949.99 1929.99 1939.99 1929.99 1979.99 1909.99 193
MDTV_nov1_ep139.99 1809.99 1939.99 1949.99 1929.99 2049.99 1939.99 1929.99 1899.99 1979.99 1939.99 1909.99 194
xiu_mvs_v1_base_debu10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
xiu_mvs_v2_base10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
xiu_mvs_v1_base10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
xiu_mvs_v1_base_debi10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
cdsmvs_eth3d_5k10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
pcd_1.5k_mvsjas10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
PS-MVSNAJss10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
PS-MVSNAJ10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
jajsoiax10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
mvs_tets10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
GeoE19.41 19222.09 19411.37 19717.21 20811.30 20650.50 2114.30 18833.60 20711.70 20644.50 2087.30 19418.90 20722.60 2057.10 1933.90 180
SR-MVS-dyc-post11.55 18911.55 19111.55 19811.55 20511.55 20711.55 20411.55 22111.55 20511.55 20511.55 20011.55 21111.55 20411.55 20211.55 20511.55 204
test_method18.29 19120.89 19310.50 19615.00 20613.00 20855.00 2123.00 18734.00 20811.50 20432.50 2025.00 18213.50 20527.00 2065.00 1825.00 182
XXY-MVS15.00 19015.00 19215.00 19915.00 20615.00 20915.00 20515.00 23515.00 20615.00 20715.00 20115.00 22215.00 20615.00 20415.00 20915.00 206
BH-w/o40.00 19440.00 19640.00 20240.00 20940.00 21040.00 20740.00 26740.00 21040.00 21340.00 20340.00 26140.00 21040.00 20740.00 24540.00 239
BH-untuned40.00 19440.00 19640.00 20240.00 20940.00 21040.00 20740.00 26740.00 21040.00 21340.00 20340.00 26140.00 21040.00 20740.00 24540.00 239
BH-RMVSNet40.00 19440.00 19640.00 20240.00 20940.00 21040.00 20740.00 26740.00 21040.00 21340.00 20340.00 26140.00 21040.00 20740.00 24540.00 239
TR-MVS40.00 19440.00 19640.00 20240.00 20940.00 21040.00 20740.00 26740.00 21040.00 21340.00 20340.00 26140.00 21040.00 20740.00 24540.00 239
VLMVS39.38 19339.70 19538.39 20143.20 21341.62 21435.73 20639.21 26635.81 20946.46 21742.92 20731.86 25336.19 20946.03 21136.10 23437.37 235
SIFT-CM-Cal70.81 19980.73 20141.07 20653.36 21745.50 215238.80 2167.63 200146.46 21636.86 211124.25 2128.43 19557.83 21496.77 21613.98 20719.87 208
SIFT-NCM-Cal72.17 20081.80 20243.26 20753.17 21647.34 216241.27 2177.46 199147.21 21735.86 210128.70 2138.51 19662.68 21799.13 21714.93 20819.77 207
GBi-Net44.67 19849.24 20030.96 20047.53 21447.57 217126.09 2138.00 20276.99 21426.09 20873.50 21011.27 21030.55 20861.12 21212.58 20614.75 205
SIFT-UM-Cal75.41 20185.83 20344.16 20852.44 21548.43 218255.64 2207.90 201154.54 22035.49 209135.89 2147.20 19362.85 218106.86 21916.47 21021.20 209
SIFT-PCN-Cal76.63 20286.39 20447.35 20986.31 23148.76 219235.08 21517.15 239145.29 21538.11 212117.96 21118.08 23464.06 21995.58 21523.97 21929.22 214
new_pmnet88.14 20498.62 20556.70 21098.14 23656.07 220246.79 21815.37 237148.06 21850.77 219143.13 21523.35 23762.65 21593.26 21368.71 25951.38 252
N_pmnet88.14 20498.62 20556.70 21098.14 23656.07 220246.79 21815.37 237148.06 21850.77 219143.13 21523.35 23762.65 21593.26 21368.71 25951.38 252
SP-LightGlue108.97 207125.92 21258.13 21278.34 22461.59 222393.69 2389.94 203223.58 22648.33 218199.72 22110.99 20986.77 220149.09 22419.57 21126.03 210
MTAPA833442.10 3911111233.77 39767.09 21665.59 21964.81 223284.50 22110000000.00 432219.97 22459.62 227229.89 23412.72 216103.00 237203.67 25127.93 22633.46 221
SP-NN125.71 222143.74 22571.61 22278.54 22565.10 224441.23 24511.20 217269.24 24755.66 225233.01 23512.24 213116.45 248171.30 23021.23 21233.27 220
XFeat-MNN108.16 206124.14 21160.24 21364.71 21865.64 225351.83 23511.05 216228.12 22752.43 221213.52 23013.22 21887.03 221160.49 22621.88 21528.05 212
SP-DiffGlue113.82 212130.70 21463.17 21467.00 22066.11 226377.48 23710.96 215236.17 22855.29 224224.34 23312.68 21594.74 230170.89 22921.50 21428.67 213
SP-MNN124.86 221143.22 22469.79 21786.07 23067.38 227447.53 24611.56 222256.60 23564.57 233215.61 23212.66 214110.32 243172.03 23122.35 21631.67 217
SP-SuperGlue137.45 232159.15 23572.36 223165.77 25970.44 228521.33 25711.27 218259.68 24453.14 222215.13 23112.16 212113.72 245170.03 22823.81 21732.93 218
ALIKED-MNN111.04 211126.54 21364.54 21579.44 22672.14 229374.82 23611.60 223221.75 22553.64 223210.25 22913.20 21794.25 229152.80 22521.39 21327.22 211
MP-MVS-pluss833433.63 3901111219.60 39675.70 22774.28 22173.29 230284.50 22111.35 219238.58 22965.86 235255.35 24414.55 220115.69 24610000000.00 42531.94 23138.12 237
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 213133.18 21575.70 22774.28 22173.29 230284.50 22111.35 219238.58 22965.86 235255.35 24414.55 220115.69 246222.18 25431.94 23138.12 237
CANet110.62 208124.04 20870.34 21882.03 22774.27 232325.54 22525.25 245207.16 22169.28 240194.38 21827.53 24195.79 231147.76 22137.43 23540.97 244
CANet_DTU110.62 208124.04 20870.34 21882.03 22774.27 232325.54 22525.25 245207.16 22169.28 240194.38 21827.53 24195.79 231147.76 22137.43 23540.97 244
UGNet110.62 208124.04 20870.34 21882.03 22774.27 232325.54 22525.25 245207.16 22169.28 240194.38 21827.53 24195.79 231147.76 22137.43 23540.97 244
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
XFeat-NN131.69 225151.90 22871.09 22176.28 22377.98 235462.62 25012.91 226268.06 24660.69 228251.04 24315.36 225105.71 238196.16 23823.96 21829.58 215
SIFT-NN140.61 234162.76 23674.19 225102.05 23979.09 236496.97 25312.66 224286.61 25164.13 231266.77 24815.98 227109.53 241193.75 23725.88 22233.96 222
SIFT-MNN131.73 226151.00 22773.91 224106.70 24180.02 237465.05 25113.45 227253.70 23459.23 226240.68 24015.27 223108.54 240178.34 23226.57 22433.17 219
DSMNet-mixed131.33 224143.00 22396.33 24799.00 23881.00 238201.00 21445.00 275335.00 25699.00 256251.00 24238.00 259110.00 242120.00 22099.00 27098.00 261
SIFT-ConvMatch127.90 223145.81 22674.19 22597.94 23583.95 239423.51 24312.70 225257.99 23661.47 229240.26 23614.41 219107.54 239178.90 23325.10 22131.06 216
ALIKED-NN136.32 228155.63 23478.38 23689.85 23386.60 240481.11 25214.33 234272.35 24864.19 232256.34 24715.34 224112.39 244182.65 23524.52 22036.15 224
ALIKED-LG135.42 227153.61 23080.84 23796.26 23488.69 241452.25 24713.96 229264.04 24562.14 230283.13 24915.44 226116.46 249169.14 22726.17 22337.37 235
SIFT-NN-NCMNet145.54 235166.42 23782.90 241115.73 25492.94 242527.19 25814.03 230285.84 25065.69 234256.06 24616.30 230118.43 250188.39 23628.57 22737.34 234
SIFT-NN-CMatch150.38 237170.73 23889.34 245103.45 24093.34 243519.87 25613.80 228302.14 25268.52 239285.65 25016.39 231137.95 255198.09 24628.65 22836.72 233
SIFT-NN-UMatch155.66 239177.77 24189.32 244115.42 25393.92 244530.76 25915.24 236312.03 25572.31 244292.83 25416.40 232130.90 253213.19 25331.76 23043.14 247
SIFT-NCMNet150.00 236171.18 23986.47 242118.16 25594.14 245498.85 25414.22 232306.48 25366.28 237288.38 25116.10 228130.24 251202.13 25030.03 22935.03 223
PVSNet_Blended_VisFu136.90 229155.40 23181.40 238111.00 24996.20 246407.00 24025.90 249251.60 23185.10 253240.50 23737.00 25699.90 234199.80 24740.70 25048.10 249
PVSNet_BlendedMVS136.90 229155.40 23181.40 238111.00 24996.20 246407.00 24025.90 249251.60 23185.10 253240.50 23737.00 25699.90 234199.80 24740.70 25048.10 249
PVSNet_Blended136.90 229155.40 23181.40 238111.00 24996.20 246407.00 24025.90 249251.60 23185.10 253240.50 23737.00 25699.90 234199.80 24740.70 25048.10 249
SIFT-UMatch151.81 238172.70 24089.15 243114.65 25296.40 249500.71 25514.32 233311.67 25467.41 238292.77 25316.23 229130.44 252208.85 25227.71 22540.60 243
SIFT-PointCN137.54 233153.56 22989.49 24686.92 23299.27 250439.85 24420.52 241276.42 24969.62 243249.96 24123.99 239132.59 254180.42 23434.34 23336.61 232
FMVSNet5124.76 214140.93 21676.26 229107.44 242100.17 251329.88 22827.12 252259.44 23774.30 245204.34 22230.74 24592.41 222196.98 23938.15 23836.19 225
test1124.76 214140.93 21676.26 229107.44 242100.17 251329.88 22827.12 252259.44 23774.30 245204.34 22230.74 24592.41 222196.98 23938.15 23836.19 225
FMVSNet3124.76 214140.93 21676.26 229107.44 242100.17 251329.88 22827.12 252259.44 23774.30 245204.34 22230.74 24592.41 222196.98 23938.15 23836.19 225
FMVSNet2124.76 214140.93 21676.26 229107.44 242100.17 251329.88 22827.12 252259.44 23774.30 245204.34 22230.74 24592.41 222196.98 23938.15 23836.19 225
FMVSNet1124.76 214140.93 21676.26 229107.44 242100.17 251329.88 22827.12 252259.44 23774.30 245204.34 22230.74 24592.41 222196.98 23938.15 23836.19 225
MIMVSNet1124.76 214140.93 21676.26 229107.44 242100.17 251329.88 22827.12 252259.44 23774.30 245204.34 22230.74 24592.41 222196.98 23938.15 23836.19 225
MIMVSNet124.76 214140.93 21676.26 229107.44 242100.17 251329.88 22827.12 252259.44 23774.30 245204.34 22230.74 24592.41 222196.98 23938.15 23836.19 225
SIFT-NN-PointCN174.29 240198.81 242100.73 248135.35 256113.50 258588.55 26024.71 244355.74 25777.37 252290.44 25227.16 240142.66 257248.71 25541.29 25346.03 248
ELoFTR243.08 244276.98 246141.35 252143.08 257138.37 259830.03 27320.10 240509.87 264106.57 257483.70 26017.51 233225.37 262341.57 26140.42 24960.32 254
BP-MVS1202.65 241232.15 243114.16 249183.40 262141.78 260655.87 26424.69 243372.56 258109.76 258356.89 25547.15 269139.51 256284.15 25754.86 25661.20 255
FE-MVS207.10 242234.26 244125.61 250180.34 261153.23 261635.64 26330.05 259378.38 259127.68 260377.08 25648.95 270154.43 258266.67 25663.56 25769.18 256
GDP-MVS219.79 243249.11 245131.85 251187.15 263155.97 262667.31 26530.57 260398.95 260131.26 261387.86 25758.83 274164.55 259315.00 25865.03 25875.04 258
LoFTR273.51 248310.65 250162.12 253147.25 258160.13 263918.31 27721.42 242586.82 271125.36 259541.95 26220.52 235254.36 268387.55 26446.65 25471.86 257
kuosan267.89 247301.05 249168.41 255244.05 268177.28 264667.98 26665.76 281533.41 266157.79 264492.01 261104.69 290226.72 263364.47 26379.31 263101.21 263
DP-MVS264.78 246296.02 248171.04 256191.70 264183.96 265827.10 27278.36 290438.24 262176.64 265435.12 25865.04 277230.52 265334.02 260117.96 28198.64 262
MatchFormer330.86 252378.56 254187.76 257176.61 260188.47 2661141.98 29525.30 248698.47 281149.83 262667.80 27522.42 236297.22 272470.67 27153.93 25577.59 259
SSC-MVS320.23 250364.09 252188.66 258260.78 271193.84 267975.93 28273.11 286596.72 272185.29 266589.02 26874.47 279246.01 266427.42 26994.06 269126.12 269
tmp_tt371.08 257412.78 258246.00 269231.00 265197.00 2681293.00 302376.00 354756.00 288609.00 33271.00 209106.00 291195.00 260102.00 218171.00 302346.00 328
FA-MVS(test-final)261.15 245293.29 247164.72 254236.23 267199.99 269800.05 27142.35 272475.87 263155.47 263470.67 25958.49 273205.24 261319.44 25981.03 26488.93 260
UWE-MVS-28327.73 251369.67 253201.90 260281.09 278210.75 270832.98 27474.67 289680.98 280198.23 270613.42 271112.56 293259.80 269418.76 267114.35 274135.15 276
Syy-MVS370.76 256415.60 259236.25 265310.54 281210.76 271965.13 28098.58 305746.06 286266.26 283788.85 28591.37 284364.76 283357.17 262116.42 277133.22 274
WB-MVS316.44 249357.41 251193.51 259257.06 270213.32 272914.45 27549.03 278600.77 273186.42 267634.00 27475.03 280251.35 267411.39 26688.55 266115.87 267
MASt3R-SfM432.55 266498.24 272235.48 263246.34 269235.93 2731447.80 30432.85 262924.84 297196.39 269881.24 29733.31 254367.13 286643.29 29778.11 262103.39 264
testing11348.86 254393.09 256216.15 261275.24 275239.53 274915.55 27672.35 283679.89 279215.75 273633.79 273118.08 295276.62 270509.56 281117.61 280132.30 271
testing91347.05 253389.92 255218.43 262275.92 276241.43 275923.71 27871.70 282667.65 278217.04 274629.00 272113.33 294281.39 271495.50 273115.45 276132.47 272
WAC-MVS248.46 276422.23 268
RPSCF394.81 260445.63 262242.35 267276.55 277253.63 2771207.27 29990.69 299715.56 282241.57 277684.87 276111.96 292320.02 277548.38 285133.81 286153.39 284
myMVS_eth3d390.90 259437.44 260251.28 271310.54 281255.86 278965.13 28098.58 305746.06 286266.26 283788.85 285154.95 306364.76 283490.19 272116.42 277133.22 274
GLUNet-SfM453.02 271518.66 273256.09 273234.58 266255.96 2791607.37 31033.24 263947.74 299191.46 268875.86 29530.56 244398.99 293672.82 30274.28 261113.32 266
UWE-MVS387.98 258438.66 261235.93 264349.32 288257.61 2801081.50 29082.45 294637.74 277257.12 280738.54 280134.25 299308.00 273531.93 283135.11 287142.17 279
EG-PatchMatch MVS437.03 267493.12 270268.77 276264.80 273260.20 2811491.80 30798.00 304723.20 285238.80 276722.40 27963.10 276382.00 288629.00 293207.00 311164.10 289
dongtai360.45 255401.64 257236.89 266303.10 280262.16 282963.12 27972.78 284622.82 276199.37 271708.06 278130.96 298310.90 275506.46 280108.11 272137.60 278
testing99408.82 262462.15 264248.86 270322.45 284269.42 2831118.93 29373.26 287719.36 284262.28 281772.10 282150.98 305327.08 278601.98 289137.99 288150.07 282
testing222430.52 265487.50 269259.56 274379.87 298282.69 2841138.34 29481.30 292880.86 293281.58 287834.27 293135.83 301333.22 279514.90 282140.56 289162.76 286
testing3418.10 263469.06 265265.23 275335.69 285290.63 2851240.88 30093.72 300717.99 283215.31 272811.97 291232.41 337358.74 281458.67 270114.88 275146.32 280
ArgMatch-SfM559.81 279646.64 285299.29 282273.31 274302.88 2861966.31 31632.78 2611178.38 312242.47 2781172.35 31531.59 252476.65 301841.50 31081.11 265118.35 268
myMVS_eth3d28418.40 264473.07 266254.39 272261.18 272313.04 2871172.79 29774.16 288929.18 298264.68 282745.72 281139.03 303318.91 276549.18 286121.71 282131.21 270
MVP-Stereo473.58 272533.67 274293.33 279376.00 295318.00 2881461.00 30596.00 301835.00 291290.00 291804.00 28897.00 286383.00 290688.00 303156.00 292179.00 294
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 272533.67 274293.33 279376.00 295318.00 2881461.00 30596.00 301835.00 291290.00 291804.00 28897.00 286383.00 290688.00 303156.00 292179.00 294
testing3-2489.51 274555.88 277290.42 278362.21 291319.27 2901424.84 30388.81 298964.80 300309.62 294879.13 296174.38 313363.98 282643.82 298155.29 291188.01 298
WB-MVSnew404.84 261458.00 263245.36 268374.70 294320.27 2911193.74 29872.90 285773.77 289238.30 275688.22 27790.05 283308.59 274532.76 284157.54 295107.21 265
ETVMVS443.50 270498.07 271279.78 277378.05 297321.57 2921163.68 29687.12 295897.50 296269.81 285822.83 292141.20 304334.53 280568.21 288154.21 290183.26 296
PDCNetPlus580.74 280670.05 286312.81 287293.01 279325.34 2932012.58 31840.24 2711291.32 315244.73 2791126.48 31440.08 265476.71 302892.02 31390.03 268136.37 277
SSC-MVS3.2667.82 289787.71 293308.16 284385.94 300327.65 2941718.51 311117.00 3141942.46 346317.12 2961488.73 330183.89 314404.82 296763.70 305172.02 303192.01 302
UBG667.82 289787.71 293308.16 284385.94 300327.65 2941718.51 311117.00 3141942.46 346317.12 2961488.73 330183.89 314404.82 296763.70 305172.02 303192.01 302
DELS-MVS514.57 277587.73 280295.12 281343.03 287328.09 2961540.48 309116.22 313988.59 301325.44 299906.22 298119.86 297365.72 285788.60 307161.09 299191.55 301
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
ArgMatch-Sym628.95 286725.61 289338.98 292319.80 283348.01 2972161.93 31934.42 2641349.94 319274.47 2861311.17 31835.52 255536.43 308953.83 31589.37 267132.49 273
WBMVS655.88 287770.84 292310.98 286391.79 302353.00 2982280.68 32199.17 3081776.79 340301.20 2931123.23 313187.34 323390.28 292620.39 292156.98 294189.66 300
tpmvs501.65 276567.42 278304.33 283395.39 303356.32 2991512.04 308216.53 341994.15 302350.16 303804.16 290119.38 296380.98 287555.14 287159.87 298175.69 292
PatchmatchNetpermissive492.52 275551.22 276316.40 288400.20 305357.90 3001277.10 301115.80 3121034.60 309315.90 295874.00 294155.10 307402.20 295629.50 294158.80 296189.10 299
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
ACMH+729.97 2661.38 288754.00 290383.51 294368.96 293376.38 3012483.74 33382.42 2931089.25 310333.39 3011219.68 31666.53 278573.60 318957.86 316184.14 307200.56 304
DenseAffine716.23 292826.00 295386.90 296338.46 286383.55 3022528.22 33439.18 2651519.44 331321.65 2981502.70 33238.50 260629.37 3251046.88 32799.01 271147.77 281
ADS-MVSNet2443.33 268482.84 267324.79 290434.94 311387.73 3031110.57 29187.69 296887.02 294282.92 288779.29 28398.57 288422.76 298502.40 274162.19 300163.87 287
ADS-MVSNet443.33 268482.84 267324.79 290434.94 311387.73 3031110.57 29187.69 296887.02 294282.92 288779.29 28398.57 288422.76 298502.40 274162.19 300163.87 287
PatchmatchNet2copyleft400.00 304400.00 305400.00 239400.00 359400.00 261
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
IB-MVS872.44 4616.41 285700.96 288362.78 293426.10 310409.25 3061822.69 313124.42 3241186.23 313366.85 3061079.42 310190.60 325451.78 300930.72 314181.59 306227.30 307
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
DKM753.27 293870.09 302402.84 297361.88 290411.34 3072666.28 33843.92 2741620.97 335327.84 3001561.61 33542.38 266642.06 3271096.20 336109.69 273155.12 285
PMatch-SfM784.39 304906.45 310418.23 299363.55 292413.41 3082750.56 34042.96 2731663.64 336341.27 3021653.81 33642.46 267676.23 3291182.18 339117.60 279165.06 290
CSCG826.03 309963.29 314414.24 298421.52 308426.11 3092230.35 320179.52 3371827.44 341733.43 343933.12 300281.25 339545.23 3091800.35 352262.64 325271.38 316
DP-MVS Recon516.25 278581.17 279321.48 289361.02 289429.00 3101995.36 31778.48 291796.20 290283.32 290796.02 28796.78 285382.98 289636.72 295186.66 308152.46 283
PMatch-Up-SfM815.39 307940.33 312440.56 300382.27 299431.17 3112810.50 34146.03 2761754.44 338360.71 3041728.19 33844.08 268722.27 3311214.00 340122.78 283168.24 291
RoMa-SfM821.88 308947.65 313444.57 301404.53 307436.79 3122814.72 34248.36 2771757.60 339367.99 3071743.22 33950.35 271719.59 3301218.12 341123.95 284177.32 293
IterMVS615.05 284691.66 287385.23 295516.40 315454.80 3131863.80 314102.10 3091142.20 311364.10 3051093.20 312135.00 300480.40 303826.90 308181.20 305220.50 306
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
DKM-HiRes889.49 3131027.58 323475.22 311423.85 309483.27 3143121.07 34352.45 2791928.03 345389.91 3081854.07 34250.60 272758.69 3341297.31 344130.95 285183.70 297
Patchmtry1090.75 3261198.88 328766.38 3371290.90 359485.90 3152423.98 3311267.30 4101297.17 316923.90 345923.40 2991215.54 402990.23 343667.90 299779.80 360823.02 358
PMVScopyleft863.65 3957.08 3151054.11 324666.00 330401.00 306495.00 3163790.00 348279.00 3431607.00 334521.00 3241745.00 34090.00 2811105.00 354639.00 296415.00 339398.00 335
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
gg-mvs-nofinetune594.69 281605.37 281562.67 319617.29 328500.33 317772.30 267413.12 363579.21 267552.71 326567.40 263662.54 381531.67 304503.93 276779.80 360656.02 344
ACMH993.80 5967.92 3161106.11 326553.33 317494.00 313534.00 3183581.00 346136.00 3261585.00 333478.00 3211871.00 34390.00 281839.00 3361460.00 345260.00 324287.00 319
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
new-patchmatchnet766.12 295859.03 299487.38 314595.68 317536.14 3192346.27 323142.51 3291488.08 322422.43 3091361.32 321163.65 310628.60 3231003.74 325207.61 312297.41 321
mvs_anonymous774.90 297882.28 303452.77 302636.50 329537.20 3202348.80 324120.30 3161504.30 323474.40 3141371.10 322186.90 316564.70 3111078.90 329219.30 314256.40 308
casdiffmvspermissive774.90 297882.28 303452.77 302636.50 329537.20 3202348.80 324120.30 3161504.30 323474.40 3141371.10 322186.90 316564.70 3111078.90 329219.30 314256.40 308
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 297882.28 303452.77 302636.50 329537.20 3202348.80 324120.30 3161504.30 323474.40 3141371.10 322186.90 316564.70 3111078.90 329219.30 314256.40 308
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 297882.28 303452.77 302636.50 329537.20 3202348.80 324120.30 3161504.30 323474.40 3141371.10 322186.90 316564.70 3111078.90 329219.30 314256.40 308
baseline1774.90 297882.28 303452.77 302636.50 329537.20 3202348.80 324120.30 3161504.30 323474.40 3141371.10 322186.90 316564.70 3111078.90 329219.30 314256.40 308
casdiffmvs_mvgpermissive774.90 297882.28 303452.77 302636.50 329537.20 3202348.80 324120.30 3161504.30 323474.40 3141371.10 322186.90 316564.70 3111078.90 329219.30 314256.40 308
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 297882.28 303452.77 302636.50 329537.20 3202348.80 324120.30 3161504.30 323474.40 3141371.10 322186.90 316564.70 3111078.90 329219.30 314256.40 308
RoMa-HiRes1034.45 3241193.62 327556.95 318500.36 314544.88 3273519.53 34561.60 2802201.60 351461.12 3122254.28 34760.98 275906.83 3401523.88 347159.21 297219.15 305
IterMVS-LS758.94 294856.56 298466.10 310606.60 320546.80 3282309.90 322122.20 3231402.80 320463.50 3131348.20 319192.60 326574.60 3191028.60 326234.60 323276.90 317
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
SixPastTwentyTwo773.62 296869.37 301486.35 313603.45 319547.15 3292532.14 335106.92 3111434.95 321428.08 3101360.56 320165.15 311628.96 324984.09 317209.01 313282.94 318
Gipumacopyleft689.75 291767.00 291458.00 309613.00 327549.00 3301943.00 315187.00 3381230.00 314518.00 3231092.00 311203.00 331564.00 310892.00 312225.00 321261.00 315
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PVSNet1207.94 6829.56 310937.18 311506.69 315645.55 336585.72 3312477.98 332130.52 3251578.29 332509.50 3221460.01 329194.90 327637.19 3261170.78 338267.07 327297.17 320
GG-mvs-BLEND596.01 322611.29 324600.33 332790.30 268513.12 378552.71 326567.40 263662.54 381531.67 304503.93 276779.80 360656.02 344
gm-plane-assit611.29 324600.33 332579.21 267567.40 263531.67 304503.93 276
CR-MVSNet612.36 283617.81 284596.01 322611.29 324600.33 332790.30 268513.12 378579.21 267552.71 326567.40 263662.54 381531.67 304503.93 276779.80 360656.02 344
RE-MVS-def610.10 282610.10 322610.10 335610.10 261610.10 387610.10 274610.10 333610.10 269610.10 369610.10 290610.10 343610.10 341
SR-MVS610.10 282610.10 282610.10 324610.10 322610.10 335610.10 261610.10 387610.10 274610.10 333610.10 269610.10 369610.10 321610.10 290610.10 343610.10 341
ACMP1246.57 71086.24 3251235.17 329639.45 325596.53 318639.91 3373904.24 349152.04 3321851.54 342566.58 3301997.95 345138.50 302938.30 3411605.46 348303.70 333340.14 326
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
lessismore_v0569.20 320667.25 338644.68 33896.45 303428.86 3111514.17 333204.21 332756.58 3321061.60 328197.79 310306.34 322
MVSTER890.06 3141005.91 322542.52 316736.13 341653.90 3392616.56 337145.22 3311692.10 337555.69 3291554.72 334266.25 338660.02 3281219.66 342266.84 326313.64 324
PVSNet_01661.03 9968.54 3171066.82 325673.70 331706.94 339695.69 3402669.02 339153.52 3332108.17 349605.54 3311679.14 337213.26 335886.75 3391236.76 343229.01 322438.67 337
MSLP-MVS++1242.93 3301411.08 333738.48 335712.71 340712.68 3414168.17 351136.50 3272276.40 352613.28 3352368.60 351161.61 3091130.38 3551964.54 355297.88 330372.39 331
ACMM1311.08 81165.06 3291332.72 332662.07 329584.90 316715.99 3424373.59 353153.99 3341880.27 343709.02 3402316.97 348188.63 324939.89 3421484.30 346302.78 332330.34 325
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MVS_111021_LR1136.45 3281298.72 331649.64 326756.17 342726.26 3433785.94 347138.15 3282190.64 350629.63 3362064.39 346165.45 312874.83 3381678.43 351279.70 328347.82 329
MG-MVS1256.50 3311432.00 334730.00 334610.00 321760.00 3444720.00 354169.00 3351920.00 344723.00 3422510.00 354201.00 3291050.00 3521645.00 350390.00 337380.00 332
ACMMPR1296.60 3321480.82 335743.96 336899.25 346763.47 3454305.47 352143.90 3302530.94 355683.99 3372346.34 350201.65 3301098.25 3531920.59 354295.21 329370.16 330
test_04021110.00 3271260.00 330660.00 327900.00 347780.00 3463300.00 344210.00 3402040.00 348690.00 3381950.00 344300.00 342810.00 3351620.00 349330.00 334390.00 334
K. test v3877.74 312980.16 315570.46 3211316.85 361813.15 3472565.52 336103.78 3101509.49 330548.33 3251258.90 317219.93 336587.82 3201102.37 337196.30 309310.42 323
DeepC-MVS_fast2190.19 121535.59 3351886.82 339481.89 312847.73 343830.16 3487943.84 373189.23 3392398.83 353691.73 3392341.13 349209.16 333230.25 2641999.25 356360.46 335385.25 333
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
TSAR-MVS + GP.1386.84 3331622.84 337678.81 332952.13 348840.17 3495358.21 357170.75 3362650.47 356713.54 3412394.28 352209.42 334855.56 3371854.36 353302.42 331340.71 327
PatchT856.34 311860.99 300842.38 3381290.90 359880.90 350790.30 2681267.30 410579.21 267923.90 345567.40 263662.54 381990.23 343887.56 311779.80 360656.02 344
FPMVS1407.00 3341495.59 3361141.23 347648.01 337893.85 3514124.00 350503.81 3773219.04 359742.72 3442498.84 353157.98 3081727.83 361832.93 309732.98 359802.00 353
JIA-IIPM804.30 306835.64 297710.26 333885.90 344895.90 352455.98 248668.73 3921297.17 3161002.26 3551001.67 308655.98 379756.98 333667.90 299885.21 372477.90 338
RPMNet787.26 305829.13 296661.63 328885.90 344895.90 352455.98 248610.10 3871297.17 3161002.26 3551001.67 308655.98 379611.10 322667.90 299885.21 372477.90 338
ambc999.00 339999.00 349999.00 354999.00 283999.00 403999.00 348999.00 301999.00 394999.00 345999.00 318999.00 379999.00 376
OurMVSNet-221017-0999.00 318999.00 316999.00 339999.00 349999.00 354999.00 283999.00 403999.00 303999.00 348999.00 301999.00 394999.00 345999.00 318999.00 379999.00 376
EPMVS999.00 318999.00 316999.00 339999.00 349999.00 354999.00 283999.00 403999.00 303999.00 348999.00 301999.00 394999.00 345999.00 318999.00 379999.00 376
uanet_test1000.00 3201000.00 3181000.00 3421000.00 3521000.00 3571000.00 2861000.00 4061000.00 3051000.00 3511000.00 3041000.00 3971000.00 3481000.00 3211000.00 3821000.00 379
sosnet1000.00 3201000.00 3181000.00 3421000.00 3521000.00 3571000.00 2861000.00 4061000.00 3051000.00 3511000.00 3041000.00 3971000.00 3481000.00 3211000.00 3821000.00 379
USDC1000.00 3201000.00 3181000.00 3421000.00 3521000.00 3571000.00 2861000.00 4061000.00 3051000.00 3511000.00 3041000.00 3971000.00 3481000.00 3211000.00 3821000.00 379
TinyColmap1000.00 3201000.00 3181000.00 3421000.00 3521000.00 3571000.00 2861000.00 4061000.00 3051000.00 3511000.00 3041000.00 3971000.00 3481000.00 3211000.00 3821000.00 379
COLMAP_ROBcopyleft2144.59 111658.33 3361869.33 3381025.33 3461030.00 3561023.00 3615311.00 356359.00 3523044.00 357937.00 3472892.00 355332.00 3461440.00 3582312.00 358607.00 342613.00 343
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 3372113.11 3401173.33 3501231.00 3571174.00 3626297.00 359392.00 3573356.00 3611087.00 3573082.00 356361.00 3501670.00 3602523.00 360689.00 349676.00 348
PCF-MVS4335.85 202272.23 3432597.03 3461297.84 3511701.20 3661332.37 3638105.11 374451.45 3664031.84 3661099.10 3583966.50 364467.45 3581734.05 3622701.68 363848.94 369827.11 359
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
PLCcopyleft2858.82 162192.92 3412474.00 3441349.67 3521407.00 3621356.00 3647164.00 364475.00 3703970.00 3651237.00 3643765.00 363451.00 3571891.00 3663006.00 364791.00 365802.00 353
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVS_ROBcopyleft1936.51 101959.51 3382224.88 3421163.39 3491253.91 3581434.22 3657065.71 363272.76 3422472.29 3541647.54 3873538.72 360200.37 3281496.48 3592575.17 361997.45 378559.48 340
MVS-HIRNet2125.39 3402452.68 3431143.53 3482938.33 4041446.92 3666083.19 358391.74 3563801.71 3641202.10 3613439.72 358492.73 3601304.35 3573048.25 365676.32 348679.32 349
CMPMVSbinary2623.62 151983.08 3392156.14 3411463.89 3601414.80 3631517.00 3675239.20 355867.40 3973310.30 3601128.70 3593489.90 359366.75 3512030.20 3722427.60 3591160.60 391844.46 361
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
AdaColmapbinary2570.77 3492948.61 3521437.24 3561873.64 3761526.60 3687819.77 371373.97 3534970.45 3751479.29 3724648.46 371525.80 3631904.97 3674150.42 378695.69 355880.14 366
3Dnovator2482.06 142531.17 3472839.56 3501606.00 3611732.00 3701557.00 3698375.00 376483.00 3714370.00 3711371.00 3704200.00 365350.00 3482207.00 3733877.00 373798.00 3661054.00 383
OpenMVScopyleft2352.88 132263.08 3422530.89 3451459.67 3591767.00 3741591.00 3707932.00 372399.00 3583643.00 3621176.00 3603569.00 361297.00 3411927.00 3683302.00 366693.00 354861.00 362
test_0728_SECOND1451.45 3571725.60 3671598.35 3719203.30 380315.86 3462023.43 3693973.88 374620.04 345732.56 350
test07261725.60 3671598.35 3719203.30 380315.86 3465016.02 3771363.85 3674894.28 374387.23 352
SD-MVS2654.53 3503055.56 3551451.45 3571725.60 3671598.35 3719203.30 380315.86 3465016.02 3771363.85 3674894.28 374387.23 3522023.43 3693973.88 374620.04 345732.56 350
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
CHOSEN 280x4202340.81 3442643.03 3471434.14 3532025.55 3831629.36 3746542.40 360412.49 3604219.70 3681547.02 3754328.52 366650.74 3761798.26 3633333.17 367727.72 356874.79 363
CHOSEN 1792x26882340.81 3442643.03 3471434.14 3532025.55 3831629.36 3746542.40 360412.49 3604219.70 3681547.02 3754328.52 366650.74 3761798.26 3633333.17 367727.72 356874.79 363
HyFIR lowres test2340.81 3442643.03 3471434.14 3532025.55 3831629.36 3746542.40 360412.49 3604219.70 3681547.02 3754328.52 366650.74 3761798.26 3633333.17 367727.72 356874.79 363
SteuartSystems-ACMMP2891.50 3553284.78 3581711.67 3651954.00 3771655.00 37710117.00 393445.00 3655102.00 3801375.00 3715126.00 378351.00 3492638.00 3864402.00 381691.00 352842.00 360
Skip Steuart: Steuart Systems R&D Blog.
LF4IMVS2699.50 3523049.67 3541649.00 3631755.00 3711689.00 3788330.00 375464.00 3684997.00 3761528.00 3734763.00 373568.00 3672296.00 3754215.00 379827.00 368962.00 373
tpm23617.85 3624007.23 3642449.73 3822012.71 3791698.05 3797351.19 366869.29 3986132.06 3831588.28 3818007.42 3981281.09 4033888.11 4037472.04 4031351.00 3931763.02 399
tpm cat13617.85 3624007.23 3642449.73 3822012.71 3791698.05 3797351.19 366869.29 3986132.06 3831588.28 3818007.42 3981281.09 4033888.11 4037472.04 4031351.00 3931763.02 399
CostFormer3617.85 3624007.23 3642449.73 3822012.71 3791698.05 3797351.19 366869.29 3986132.06 3831588.28 3818007.42 3981281.09 4033888.11 4037472.04 4031351.00 3931763.02 399
tpm3617.85 3624007.23 3642449.73 3822012.71 3791698.05 3797351.19 366869.29 3986132.06 3831588.28 3818007.42 3981281.09 4033888.11 4037472.04 4031351.00 3931763.02 399
DeepPCF-MVS3452.42 182670.71 3513021.57 3531618.12 3622377.67 3901751.39 3838915.70 379567.44 3854569.74 3731236.84 3634615.63 370513.23 3612291.32 3743515.48 370882.39 371811.66 355
tpmrst2557.50 3482847.12 3511688.66 3641784.08 3751778.25 3847445.50 370342.14 3494471.54 3721534.55 3744382.10 369530.10 3642361.21 3764142.81 377991.22 377926.51 368
DPM-MVS3268.00 3583762.89 3611783.33 3681756.00 3721806.00 38512319.00 396307.00 3446319.00 3881557.00 3785763.00 380302.00 3432609.00 3825061.00 385482.00 340935.00 370
OPM-MVS3268.00 3583762.89 3611783.33 3681756.00 3721806.00 38512319.00 396307.00 3446319.00 3881557.00 3785763.00 380302.00 3432609.00 3825061.00 385482.00 340935.00 370
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
ZD-MVS1584.00 3641821.00 387378.00 3553721.00 3631231.00 3621833.00 341321.00 3451224.00 3562103.00 357692.00 353
DeepC-MVS3917.13 193155.06 3573601.83 3601814.72 3702515.52 3931941.53 38810432.50 394589.42 3864789.45 3741298.65 3667677.31 395578.35 3682589.53 3803611.78 372923.52 374913.10 367
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DVP-MVS++3981.10 3684731.32 3731730.42 3662191.51 3861949.98 38916473.90 405355.33 3507172.90 3991622.98 3857879.79 396434.33 3552428.11 3785762.12 388689.04 350813.18 356
DVP-MVScopyleft3981.10 3684731.32 3731730.42 3662191.51 3861949.98 38916473.90 405355.33 3507172.90 3991622.98 3857879.79 396434.33 3552428.11 3785762.12 388689.04 350813.18 356
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
ITE_SJBPF2014.00 3761998.00 3781992.00 391701.00 3935989.00 3821812.00 3913612.00 362650.00 3752852.00 3894601.00 3831195.00 3921198.00 389
3Dnovator+3414.41 173146.67 3563537.00 3591975.67 3722310.00 3882005.00 39210100.00 392626.00 3905753.00 3811803.00 3905179.00 379487.00 3592622.00 3844550.00 3821025.00 3861300.00 390
Vis-MVSNetpermissive2877.42 3543170.00 3571999.67 3751673.00 3652042.00 3938593.00 377474.00 3696452.00 3901268.00 3655125.00 377339.00 3473004.00 3904222.00 380384.00 336953.00 372
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
TSAR-MVS + MP.3528.01 3614065.89 3681914.35 3712349.10 3892141.30 39412362.70 398417.60 3646717.80 3941759.40 3896497.50 383518.18 3622629.38 3855164.32 387806.40 367972.38 375
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
EGC-MVSNET2819.75 3533096.89 3561988.33 3743105.00 4052241.00 3959480.00 384640.00 3914209.00 3671583.00 3804740.00 372547.00 3662797.00 3882644.00 362924.00 375927.00 369
MVS_111021_HR3742.80 3664330.34 3691980.20 3732484.31 3922259.52 39614973.80 403515.90 3846500.13 3911949.21 3926146.89 382535.66 3652593.66 3814880.76 384986.37 3761087.43 384
GST-MVS4000.00 3704533.33 3712400.00 3812400.00 3912400.00 3977200.00 3652400.00 4147200.00 4012400.00 4017200.00 3902400.00 4072400.00 3777200.00 4012400.00 4052400.00 404
FOURS12643.17 3952465.14 39813996.40 400493.26 3727619.38 4022107.24 393
MSC_two_6792asdad2237.56 3782643.17 3952465.14 398493.26 3723088.29 3956075.14 3951078.39 3871159.26 385
No_MVS2237.56 3782643.17 3952465.14 398493.26 3723088.29 3956075.14 3951078.39 3871159.26 385
test_one_06012643.17 3952465.14 398493.26 3727619.38 4022107.24 3937416.93 392610.24 371
SED-MVS4062.74 3714671.13 3722237.56 3782643.17 3952465.14 39813996.40 400493.26 3727619.38 4022107.24 3937416.93 392610.24 3713088.29 3956075.14 3951078.39 3871159.26 385
TAPA-MVS6309.84 213374.90 3603806.99 3632078.63 3772535.47 3942499.25 4038816.16 378456.05 3676255.60 3871664.52 3886704.88 385629.95 3742768.38 3876343.93 399856.35 370968.25 374
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
IU-MVS2725.60 4002598.35 404515.86 3807016.02 3952363.85 3975973.88 3911620.04 3991732.56 395
OPU-MVS2451.45 3862725.60 4002598.35 4049203.30 3806894.28 386887.23 3893023.43 3915973.88 3911620.04 3991732.56 395
test_241102_ONE2725.60 4002598.35 404515.86 3807016.02 3952363.85 3976894.28 386887.23 3893023.43 391
MSP-MVS4296.20 3724911.12 3762451.45 3862725.60 4002598.35 40416203.30 404515.86 3807016.02 3952363.85 3976894.28 386887.23 3893023.43 3915973.88 3911620.04 3991732.56 395
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
OMC-MVS5022.26 3745748.82 3772842.58 3904905.27 4103101.27 40814933.60 402812.24 3969278.40 4062959.29 4048800.17 4021092.24 4013806.30 4027568.54 4071389.60 3971620.18 393
API-MVS4380.83 3734906.56 3752803.67 3893844.00 4083116.00 40913454.00 399901.00 4026511.00 3922794.00 4037365.00 391754.00 3853634.00 4016622.00 4001914.00 4041661.00 394
TestfortrainingZip3151.39 3913151.39 4063151.39 41021344.80 4073151.39 4153151.39 3583151.39 4053151.39 3573151.39 4093151.39 3993151.39 4073151.39 405
MAR-MVS3973.16 3674387.92 3702728.86 3883345.27 4073341.39 41111403.90 395798.76 3956555.62 3932569.29 4026514.86 384834.97 3883237.43 4005891.08 3901577.54 3981607.76 391
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
CLD-MVS7338.25 3758341.00 3784330.00 3924902.00 4094991.00 41223318.00 412728.00 39414437.00 4164378.00 40713379.00 410824.00 3875708.00 40711429.00 4161674.00 4032291.00 403
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 3768776.23 3794410.16 3935298.55 4115631.53 41334329.90 4141504.57 41211554.00 4153896.41 40615111.00 411812.19 3865985.63 4083516.20 3712963.23 4061613.31 392
CNLPA10738.67 38511772.44 3887637.33 3949120.00 4138206.00 41422252.00 4112010.00 41324984.00 4177458.00 40922596.00 4132940.00 40810260.00 41611100.00 4153492.00 4084446.00 406
MVEpermissive10021.00 2210550.67 38410002.44 38712195.33 4026242.00 4128768.00 41530896.00 4134451.00 41610331.00 4146247.00 40818296.00 412283.00 34021484.00 4177364.00 4025912.00 4096334.00 407
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
ZNCC-MVS9999.00 3779999.00 3809999.00 3959999.00 4149999.00 4169999.00 3859999.00 4199999.00 4079999.00 4109999.00 4039999.00 4119999.00 4099999.00 4089999.00 4109999.00 408
patch_mono-210000.00 37810000.00 38110000.00 39610000.00 41510000.00 41710000.00 38610000.00 42010000.00 40810000.00 41110000.00 40410000.00 41210000.00 41010000.00 40910000.00 41110000.00 409
dcpmvs_210000.00 37810000.00 38110000.00 39610000.00 41510000.00 41710000.00 38610000.00 42010000.00 40810000.00 41110000.00 40410000.00 41210000.00 41010000.00 40910000.00 41110000.00 409
DCPMVS10000.00 37810000.00 38110000.00 39610000.00 41510000.00 41710000.00 38610000.00 42010000.00 40810000.00 41110000.00 40410000.00 41210000.00 41010000.00 40910000.00 41110000.00 409
UA-Net10000.00 37810000.00 38110000.00 39610000.00 41510000.00 41710000.00 38610000.00 42010000.00 40810000.00 41110000.00 40410000.00 41210000.00 41010000.00 40910000.00 41110000.00 409
uncertanet10000.00 37810000.00 38110000.00 39610000.00 41510000.00 41710000.00 38610000.00 42010000.00 40810000.00 41110000.00 40410000.00 41210000.00 41010000.00 40910000.00 41110000.00 409
uanet10000.00 37810000.00 38110000.00 39610000.00 41510000.00 41710000.00 38610000.00 42010000.00 40810000.00 41110000.00 40410000.00 41210000.00 41010000.00 40910000.00 41110000.00 409
LTVRE_ROB20565.47 2323378.08 38622805.00 38925097.33 40315500.00 42119201.00 42342712.00 4156055.00 41738388.00 41816926.00 41738534.00 4147071.00 41035653.00 41829475.00 41710584.00 41720438.00 416
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 38734443.44 39027094.33 40429249.00 42225246.00 42451144.00 4166705.00 41842886.00 41922888.00 41848534.00 41513263.00 41837507.00 41979298.00 41816024.00 41818530.00 415
test-26052499999.00 42399999.00 42599999.00 42699999.00 41999999.00 41999999.00 42099999.00 41999999.00 419
114514_t99999.00 38899999.00 39199999.00 40599999.00 42399999.00 42599999.00 41799999.00 42699999.00 42099999.00 41999999.00 41699999.00 41999999.00 42099999.00 41999999.00 41999999.00 417
PHI-MVS99999.00 38899999.00 39199999.00 40599999.00 42399999.00 42599999.00 41799999.00 42699999.00 42099999.00 41999999.00 41699999.00 41999999.00 42099999.00 41999999.00 41999999.00 417
XVG-OURS-SEG-HR999999.00 392999999.00 393999999.00 407999999.00 426999999.00 428999999.00 419999999.00 429999999.00 422999999.00 422999999.00 418999999.00 422999999.00 423999999.00 422999999.00 423999999.00 419
XVG-OURS999999.00 392999999.00 393999999.00 407999999.00 426999999.00 428999999.00 419999999.00 429999999.00 422999999.00 422999999.00 418999999.00 422999999.00 423999999.00 422999999.00 423999999.00 419
XVG-ACMP-BASELINE999999.00 392999999.00 393999999.00 407999999.00 426999999.00 428999999.00 419999999.00 429999999.00 422999999.00 422999999.00 418999999.00 422999999.00 423999999.00 422999999.00 423999999.00 419
PRO-TEST10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
aaatest10000000.00 41010000000.00 42910000000.00 43121344.80 40710000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42610000000.00 42510000000.00 42610000000.00 422
MED-MVS8343445.32 3957791260.42 39810000000.00 41010000000.00 42910000000.00 43121344.80 40710000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42599999.00 41910000000.00 422
TestfortrainingZip a9168445.40 3968891260.53 39910000000.00 41010000000.00 42910000000.00 43121344.80 40710000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
mamba_040810000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
icg_test_0407_210000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
SSM_0407210000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
SSM_040710000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
IMVS_040710000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
IMVS_040410000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
SSM_040410000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
IMVS_040310000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
SD_040310000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
aaEdge-Enhanced10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
NormalMVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
lecture10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
SymmetryMVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
Elysia10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
StellarMVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
KinetiMVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
LuminaMVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
VortexMVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
AstraMVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
guyue10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
sc_t110000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
tt0320-xc10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
tt032010000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
MVSMamba_PlusPlus10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
MGCFI-Net10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
sasdasda10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
dmvs_re10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
SDMVSNet10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
dmvs_testset10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
sd_testset10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
BridgeMVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
MonoMVSNet10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
test250610000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
test111110000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
ECVR-MVScopyleft10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
test_blank10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
tt080510000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
Anonymous2024052110000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
cl2210000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
miper_ehance_all_eth10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
miper_enhance_ethall10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
cl____10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
DIV-MVS_self_test10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
eth_miper_zixun_eth10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
ET-MVSNet_ETH3D10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
UniMVSNet_ETH3D10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
miper_lstm_enhance10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
D2MVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
test_yl10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
thisisatest053010000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
Anonymous2024052910000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
Anonymous20240521110000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
DCV-MVSNet10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
tttt051710000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
our_test_310000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
thisisatest051510000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
ppachtmachnet_test10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
SMA-MVScopyleft10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
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 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part210000000.00 42910000000.00 43110000000.00 425
thres100view90010000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
tfpnnormal10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
tfpn200view910000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
c3_l10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
IterMVS-SCA-FT10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
pmmvs610000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
pmmvs510000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
Anonymous2023121110000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
pmmvs-eth3d10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
Anonymous2023120610000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
SCA10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
Patchmatch-test10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
Patchmatch-RL test10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
canonicalmvs10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
anonymousdsp10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
FIs10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
FC-MVSNet-test10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
sosnet-low-res10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
AllTest10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
TestCases10000000.00 41010000000.00 42910000000.00 43110000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
RRT-MVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
balanced_ft_v110000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
HPM-MVS++copyleft10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
XVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
pm-mvs110000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
X-MVStestdata10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
APDe-MVScopyleft10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
pmmvs410000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
test-LLR10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
TESTMET0.1,110000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
test-mter10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
testgi10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
test20.0310000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
thres600view710000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
MP-MVScopyleft10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
thres40010000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
test12310000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
thres20010000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
test0.0.03 110000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
pmmvs310000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
EMVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
E-PMN10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
PGM-MVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
MCST-MVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
MVS_Test10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
PMMVS210000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
PM-MVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
HQP_MVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
plane_prior710000000.00 42910000000.00 431
plane_prior610000000.00 42910000000.00 43110000000.00 425
plane_prior310000000.00 43110000000.00 42510000000.00 425
mPP-MVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
mvsmamba10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
HPM-MVS_fast10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
HPM-MVScopyleft10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
LGP-MVS_train10000000.00 41010000000.00 42910000000.00 43110000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
EPNet_dtu10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP5-MVS10000000.00 431
CNVR-MVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
NCCC10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
CP-MVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
NP-MVS10000000.00 42910000000.00 43110000000.00 421
CPTT-MVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
HQP-MVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
IS-MVSNet10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
PAPM_NR10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
PAPR10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
Vis-MVSNet (Re-imp)10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
PatchMatch-RL10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
TDRefinement10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
EPP-MVSNet10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
PMMVS10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
PAPM10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
ACMMPcopyleft10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
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 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
wuyk23d10000000.00 39710000000.00 40010000000.00 41010000000.00 42910000000.00 43110000000.00 42210000000.00 43210000000.00 42510000000.00 42510000000.00 42110000000.00 42510000000.00 42610000000.00 42510000000.00 42610000000.00 422
APD-MVScopyleft1000000000.00 5301000000000.00 5331000000000.00 5481000000000.00 5751000000000.00 5751000000000.00 5601000000000.00 5751000000000.00 5671000000000.00 5681000000000.00 5641000000000.00 5691000000000.00 5691000000000.00 5671000000000.00 5671000000000.00 564
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
PatchmatchNet1copyleft400.00 265400.00 338400.00 336
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
PatchmatchNet3copyleft400.00 294
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
PC_three_14527619.38 4022107.24 3937416.93 392610.24 3713088.29 3956075.14 3951078.39 3871159.26 385
eth-test21.42 140
eth-test10000000.00 429
test_241102_TWO515.86 3807016.02 3952363.85 3976894.28 386887.23 3893023.43 3915973.88 3911620.04 3991732.56 395
9.140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_0728_THIRD5016.02 3771363.85 3674894.28 374387.23 3522023.43 3693973.88 374620.04 345732.56 350
GSMVS10000000.00 422
sam_mvs110000000.00 42510000000.00 422
sam_mvs10000000.00 425
MTGPAbinary10000000.00 432
test_post110000000.00 42210000000.00 42110000000.00 42510000000.00 42610000000.00 425
test_post10000000.00 42110000000.00 42510000000.00 426
patchmatchnet-post10000000.00 42110000000.00 42510000000.00 426
MTMP10000000.00 42210000000.00 432
test9_res0.00 10.00 10.00 1
agg_prior20.00 10.00 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 43210000000.00 42610000000.00 42510000000.00 42610000000.00 422
plane_prior410000000.00 421
plane_prior210000000.00 42210000000.00 425
plane_prior110000000.00 429
n214.20 231
nn1.42 142
door-mid1.42 142
test111.00 135
door99.00 307
HQP-NCC10000000.00 42910000000.00 42210000000.00 42510000000.00 425
ACMP_Plane10000000.00 42910000000.00 42210000000.00 42510000000.00 425
BP-MVS10000000.00 425
HQP4-MVS10000000.00 42510000000.00 42610000000.00 422
HQP3-MVS10000000.00 43210000000.00 426
HQP2-MVS10000000.00 425
ACMMP++_ref10000000.00 426
ACMMP++10000000.00 426
Test By Simon990.00 393