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 bysort bysort bysorted 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
9.140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
save fliter0.00 10.00 10.00 10.00 10.00 1
MGCNet0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
train_agg0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
agg_prior0.00 10.00 10.00 10.00 10.00 1
HFP-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
region2R0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_prior0.00 10.00 10.00 10.00 10.00 10.00 1
新几何10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
旧先验10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
无先验0.00 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
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
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+-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+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
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
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
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
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
test111.00 135
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
nn1.42 142
door-mid1.42 142
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
dp87.20 204113.80 2087.42 18510.50 2048.88 193298.82 2252.70 186510.35 2667.79 191172.93 2183.37 1819.16 19214.00 2033.71 1814.23 181
test_method18.29 19120.89 19310.50 19615.00 20613.00 20855.00 2133.00 18734.00 20811.50 20432.50 2025.00 18213.50 20527.00 2065.00 1825.00 182
GeoE19.41 19222.09 19411.37 19717.21 20811.30 20650.50 2124.30 18833.60 20711.70 20644.50 2097.30 19418.90 20722.60 2057.10 1933.90 180
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
SIFT-NCM-Cal72.17 20181.80 20343.26 20853.17 21747.34 217241.27 2187.46 199147.21 21835.86 210128.70 2148.51 19662.68 21899.13 21814.93 20819.77 207
SIFT-CM-Cal70.81 20080.73 20241.07 20753.36 21845.50 216238.80 2177.63 200146.46 21736.86 211124.25 2138.43 19557.83 21596.77 21713.98 20719.87 208
SIFT-UM-Cal75.41 20285.83 20444.16 20952.44 21648.43 219255.64 2217.90 201154.54 22135.49 209135.89 2157.20 19362.85 219106.86 22016.47 21021.20 209
GBi-Net44.67 19949.24 20130.96 20047.53 21547.57 218126.09 2148.00 20276.99 21526.09 20873.50 21111.27 21030.55 20861.12 21312.58 20614.75 205
SP-LightGlue108.97 208125.92 21358.13 21378.34 22561.59 223393.69 2399.94 203223.58 22748.33 219199.72 22210.99 20986.77 221149.09 22519.57 21126.03 210
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
SP-DiffGlue113.82 213130.70 21563.17 21567.00 22166.11 227377.48 23810.96 215236.17 22955.29 225224.34 23412.68 21594.74 231170.89 23021.50 21428.67 213
XFeat-MNN108.16 207124.14 21260.24 21464.71 21965.64 226351.83 23611.05 216228.12 22852.43 222213.52 23113.22 21887.03 222160.49 22721.88 21528.05 212
SP-NN125.71 223143.74 22671.61 22378.54 22665.10 225441.23 24611.20 217269.24 24855.66 226233.01 23612.24 213116.45 249171.30 23121.23 21233.27 221
SP-SuperGlue137.45 233159.15 23672.36 224165.77 26070.44 229521.33 25811.27 218259.68 24553.14 223215.13 23212.16 212113.72 246170.03 22923.81 21732.93 219
MP-MVS-pluss833433.63 3911111219.60 39775.70 22874.28 22273.29 231284.50 22211.35 219238.58 23065.86 236255.35 24514.55 220115.69 24710000000.00 42631.94 23138.12 238
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 214133.18 21675.70 22874.28 22273.29 231284.50 22211.35 219238.58 23065.86 236255.35 24514.55 220115.69 247222.18 25531.94 23138.12 238
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
SP-MNN124.86 222143.22 22569.79 21886.07 23167.38 228447.53 24711.56 222256.60 23664.57 234215.61 23312.66 214110.32 244172.03 23222.35 21631.67 217
ALIKED-MNN111.04 212126.54 21464.54 21679.44 22772.14 230374.82 23711.60 223221.75 22653.64 224210.25 23013.20 21794.25 230152.80 22621.39 21327.22 211
SIFT-NN140.61 235162.76 23774.19 226102.05 24079.09 237496.97 25412.66 224286.61 25264.13 232266.77 24915.98 227109.53 242193.75 23825.88 22233.96 223
SIFT-ConvMatch127.90 224145.81 22774.19 22697.94 23683.95 240423.51 24412.70 225257.99 23761.47 230240.26 23714.41 219107.54 240178.90 23425.10 22131.06 216
XFeat-NN131.69 226151.90 22971.09 22276.28 22477.98 236462.62 25112.91 226268.06 24760.69 229251.04 24415.36 225105.71 239196.16 23923.96 21829.58 215
SIFT-MNN131.73 227151.00 22873.91 225106.70 24280.02 238465.05 25213.45 227253.70 23559.23 227240.68 24115.27 223108.54 241178.34 23326.57 22433.17 220
SIFT-NN-CMatch150.38 238170.73 23989.34 246103.45 24193.34 244519.87 25713.80 228302.14 25368.52 240285.65 25116.39 231137.95 256198.09 24728.65 22836.72 234
ALIKED-LG135.42 228153.61 23180.84 23896.26 23588.69 242452.25 24813.96 229264.04 24662.14 231283.13 25015.44 226116.46 250169.14 22826.17 22337.37 236
SIFT-NN-NCMNet145.54 236166.42 23882.90 242115.73 25592.94 243527.19 25914.03 230285.84 25165.69 235256.06 24716.30 230118.43 251188.39 23728.57 22737.34 235
n214.20 231
SIFT-NCMNet150.00 237171.18 24086.47 243118.16 25694.14 246498.85 25514.22 232306.48 25466.28 238288.38 25216.10 228130.24 252202.13 25130.03 22935.03 224
SIFT-UMatch151.81 239172.70 24189.15 244114.65 25396.40 250500.71 25614.32 233311.67 25567.41 239292.77 25416.23 229130.44 253208.85 25327.71 22540.60 244
ALIKED-NN136.32 229155.63 23578.38 23789.85 23486.60 241481.11 25314.33 234272.35 24964.19 233256.34 24815.34 224112.39 245182.65 23624.52 22036.15 225
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
SIFT-NN-UMatch155.66 240177.77 24289.32 245115.42 25493.92 245530.76 26015.24 236312.03 25672.31 245292.83 25516.40 232130.90 254213.19 25431.76 23043.14 248
new_pmnet88.14 20598.62 20656.70 21198.14 23756.07 221246.79 21915.37 237148.06 21950.77 220143.13 21623.35 23762.65 21693.26 21468.71 26051.38 253
N_pmnet88.14 20598.62 20656.70 21198.14 23756.07 221246.79 21915.37 237148.06 21950.77 220143.13 21623.35 23762.65 21693.26 21468.71 26051.38 253
SIFT-PCN-Cal76.63 20386.39 20547.35 21086.31 23248.76 220235.08 21617.15 239145.29 21638.11 212117.96 21218.08 23464.06 22095.58 21623.97 21929.22 214
ELoFTR243.08 245276.98 247141.35 253143.08 258138.37 260830.03 27420.10 240509.87 265106.57 258483.70 26117.51 233225.37 263341.57 26240.42 25060.32 255
SIFT-PointCN137.54 234153.56 23089.49 24786.92 23399.27 251439.85 24520.52 241276.42 25069.62 244249.96 24223.99 239132.59 255180.42 23534.34 23336.61 233
LoFTR273.51 249310.65 251162.12 254147.25 259160.13 264918.31 27821.42 242586.82 272125.36 260541.95 26320.52 235254.36 269387.55 26546.65 25571.86 258
BP-MVS1202.65 242232.15 244114.16 250183.40 263141.78 261655.87 26524.69 243372.56 259109.76 259356.89 25647.15 269139.51 257284.15 25854.86 25761.20 256
SIFT-NN-PointCN174.29 241198.81 243100.73 249135.35 257113.50 259588.55 26124.71 244355.74 25877.37 253290.44 25327.16 240142.66 258248.71 25641.29 25446.03 249
CANet110.62 209124.04 20970.34 21982.03 22874.27 233325.54 22625.25 245207.16 22269.28 241194.38 21927.53 24195.79 232147.76 22237.43 23540.97 245
CANet_DTU110.62 209124.04 20970.34 21982.03 22874.27 233325.54 22625.25 245207.16 22269.28 241194.38 21927.53 24195.79 232147.76 22237.43 23540.97 245
UGNet110.62 209124.04 20970.34 21982.03 22874.27 233325.54 22625.25 245207.16 22269.28 241194.38 21927.53 24195.79 232147.76 22237.43 23540.97 245
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
MatchFormer330.86 253378.56 255187.76 258176.61 261188.47 2671141.98 29625.30 248698.47 282149.83 263667.80 27622.42 236297.22 273470.67 27253.93 25677.59 260
PVSNet_Blended_VisFu136.90 230155.40 23281.40 239111.00 25096.20 247407.00 24125.90 249251.60 23285.10 254240.50 23837.00 25699.90 235199.80 24840.70 25148.10 250
PVSNet_BlendedMVS136.90 230155.40 23281.40 239111.00 25096.20 247407.00 24125.90 249251.60 23285.10 254240.50 23837.00 25699.90 235199.80 24840.70 25148.10 250
PVSNet_Blended136.90 230155.40 23281.40 239111.00 25096.20 247407.00 24125.90 249251.60 23285.10 254240.50 23837.00 25699.90 235199.80 24840.70 25148.10 250
FMVSNet5124.76 215140.93 21776.26 230107.44 243100.17 252329.88 22927.12 252259.44 23874.30 246204.34 22330.74 24592.41 223196.98 24038.15 23936.19 226
test1124.76 215140.93 21776.26 230107.44 243100.17 252329.88 22927.12 252259.44 23874.30 246204.34 22330.74 24592.41 223196.98 24038.15 23936.19 226
FMVSNet3124.76 215140.93 21776.26 230107.44 243100.17 252329.88 22927.12 252259.44 23874.30 246204.34 22330.74 24592.41 223196.98 24038.15 23936.19 226
FMVSNet2124.76 215140.93 21776.26 230107.44 243100.17 252329.88 22927.12 252259.44 23874.30 246204.34 22330.74 24592.41 223196.98 24038.15 23936.19 226
FMVSNet1124.76 215140.93 21776.26 230107.44 243100.17 252329.88 22927.12 252259.44 23874.30 246204.34 22330.74 24592.41 223196.98 24038.15 23936.19 226
MIMVSNet1124.76 215140.93 21776.26 230107.44 243100.17 252329.88 22927.12 252259.44 23874.30 246204.34 22330.74 24592.41 223196.98 24038.15 23936.19 226
MIMVSNet124.76 215140.93 21776.26 230107.44 243100.17 252329.88 22927.12 252259.44 23874.30 246204.34 22330.74 24592.41 223196.98 24038.15 23936.19 226
FE-MVS207.10 243234.26 245125.61 251180.34 262153.23 262635.64 26430.05 259378.38 260127.68 261377.08 25748.95 270154.43 259266.67 25763.56 25869.18 257
GDP-MVS219.79 244249.11 246131.85 252187.15 264155.97 263667.31 26630.57 260398.95 261131.26 262387.86 25858.83 275164.55 260315.00 25965.03 25975.04 259
ArgMatch-SfM559.81 280646.64 286299.29 283273.31 275302.88 2871966.31 31732.78 2611178.38 313242.47 2791172.35 31631.59 252476.65 302841.50 31181.11 266118.35 269
MASt3R-SfM432.55 267498.24 273235.48 264246.34 270235.93 2741447.80 30532.85 262924.84 298196.39 270881.24 29833.31 254367.13 287643.29 29878.11 263103.39 265
GLUNet-SfM453.02 272518.66 274256.09 274234.58 267255.96 2801607.37 31133.24 263947.74 300191.46 269875.86 29630.56 244398.99 294672.82 30374.28 262113.32 267
ArgMatch-Sym628.95 287725.61 290338.98 293319.80 284348.01 2982161.93 32034.42 2641349.94 320274.47 2871311.17 31935.52 255536.43 309953.83 31689.37 268132.49 274
DenseAffine716.23 293826.00 296386.90 297338.46 287383.55 3032528.22 33539.18 2651519.44 332321.65 2991502.70 33338.50 260629.37 3261046.88 32899.01 272147.77 282
VLMVS39.38 19339.70 19538.39 20143.20 21441.62 21435.73 20739.21 26635.81 20946.46 21842.92 20831.86 25336.19 20946.03 21136.10 23437.37 236
BH-w/o40.00 19440.00 19640.00 20340.00 21040.00 21040.00 20840.00 26740.00 21040.00 21340.00 20440.00 26140.00 21040.00 20740.00 24640.00 240
BH-untuned40.00 19440.00 19640.00 20340.00 21040.00 21040.00 20840.00 26740.00 21040.00 21340.00 20440.00 26140.00 21040.00 20740.00 24640.00 240
BH-RMVSNet40.00 19440.00 19640.00 20340.00 21040.00 21040.00 20840.00 26740.00 21040.00 21340.00 20440.00 26140.00 21040.00 20740.00 24640.00 240
TR-MVS40.00 19440.00 19640.00 20340.00 21040.00 21040.00 20840.00 26740.00 21040.00 21340.00 20440.00 26140.00 21040.00 20740.00 24640.00 240
PDCNetPlus580.74 281670.05 287312.81 288293.01 280325.34 2942012.58 31940.24 2711291.32 316244.73 2801126.48 31540.08 265476.71 303892.02 31490.03 269136.37 278
FA-MVS(test-final)261.15 246293.29 248164.72 255236.23 268199.99 270800.05 27242.35 272475.87 264155.47 264470.67 26058.49 274205.24 262319.44 26081.03 26588.93 261
PMatch-SfM784.39 305906.45 311418.23 300363.55 293413.41 3092750.56 34142.96 2731663.64 337341.27 3031653.81 33742.46 267676.23 3301182.18 340117.60 280165.06 291
DKM753.27 294870.09 303402.84 298361.88 291411.34 3082666.28 33943.92 2741620.97 336327.84 3011561.61 33642.38 266642.06 3281096.20 337109.69 274155.12 286
VLMVS_CLIP41.36 19842.10 20039.14 20239.32 20943.30 21534.99 20644.38 27540.53 21445.84 21739.32 20349.12 27141.40 21447.27 21238.10 23832.71 218
DSMNet-mixed131.33 225143.00 22496.33 24899.00 23981.00 239201.00 21545.00 276335.00 25799.00 257251.00 24338.00 259110.00 243120.00 22199.00 27198.00 262
PMatch-Up-SfM815.39 308940.33 313440.56 301382.27 300431.17 3122810.50 34246.03 2771754.44 339360.71 3051728.19 33944.08 268722.27 3321214.00 341122.78 284168.24 292
RoMa-SfM821.88 309947.65 314444.57 302404.53 308436.79 3132814.72 34348.36 2781757.60 340367.99 3081743.22 34050.35 272719.59 3311218.12 342123.95 285177.32 294
WB-MVS316.44 250357.41 252193.51 260257.06 271213.32 273914.45 27649.03 279600.77 274186.42 268634.00 27575.03 281251.35 268411.39 26788.55 267115.87 268
DKM-HiRes889.49 3141027.58 324475.22 312423.85 310483.27 3153121.07 34452.45 2801928.03 346389.91 3091854.07 34350.60 273758.69 3351297.31 345130.95 286183.70 298
RoMa-HiRes1034.45 3251193.62 328556.95 319500.36 315544.88 3283519.53 34661.60 2812201.60 352461.12 3132254.28 34860.98 276906.83 3411523.88 348159.21 298219.15 306
kuosan267.89 248301.05 250168.41 256244.05 269177.28 265667.98 26765.76 282533.41 267157.79 265492.01 262104.69 291226.72 264364.47 26479.31 264101.21 264
testing91347.05 254389.92 256218.43 263275.92 277241.43 276923.71 27971.70 283667.65 279217.04 275629.00 273113.33 295281.39 272495.50 274115.45 277132.47 273
testing11348.86 255393.09 257216.15 262275.24 276239.53 275915.55 27772.35 284679.89 280215.75 274633.79 274118.08 296276.62 271509.56 282117.61 281132.30 272
dongtai360.45 256401.64 258236.89 267303.10 281262.16 283963.12 28072.78 285622.82 277199.37 272708.06 279130.96 299310.90 276506.46 281108.11 273137.60 279
WB-MVSnew404.84 262458.00 264245.36 269374.70 295320.27 2921193.74 29972.90 286773.77 290238.30 276688.22 27890.05 284308.59 275532.76 285157.54 296107.21 266
SSC-MVS320.23 251364.09 253188.66 259260.78 272193.84 268975.93 28373.11 287596.72 273185.29 267589.02 26974.47 280246.01 267427.42 27094.06 270126.12 270
testing99408.82 263462.15 265248.86 271322.45 285269.42 2841118.93 29473.26 288719.36 285262.28 282772.10 283150.98 306327.08 279601.98 290137.99 289150.07 283
myMVS_eth3d28418.40 265473.07 267254.39 273261.18 273313.04 2881172.79 29874.16 289929.18 299264.68 283745.72 282139.03 304318.91 277549.18 287121.71 283131.21 271
UWE-MVS-28327.73 252369.67 254201.90 261281.09 279210.75 271832.98 27574.67 290680.98 281198.23 271613.42 272112.56 294259.80 270418.76 268114.35 275135.15 277
DP-MVS264.78 247296.02 249171.04 257191.70 265183.96 266827.10 27378.36 291438.24 263176.64 266435.12 25965.04 278230.52 266334.02 261117.96 28298.64 263
DP-MVS Recon516.25 279581.17 280321.48 290361.02 290429.00 3111995.36 31878.48 292796.20 291283.32 291796.02 28896.78 286382.98 290636.72 296186.66 309152.46 284
testing222430.52 266487.50 270259.56 275379.87 299282.69 2851138.34 29581.30 293880.86 294281.58 288834.27 294135.83 302333.22 280514.90 283140.56 290162.76 287
ACMH+729.97 2661.38 289754.00 291383.51 295368.96 294376.38 3022483.74 33482.42 2941089.25 311333.39 3021219.68 31766.53 279573.60 319957.86 317184.14 308200.56 305
UWE-MVS387.98 259438.66 262235.93 265349.32 289257.61 2811081.50 29182.45 295637.74 278257.12 281738.54 281134.25 300308.00 274531.93 284135.11 288142.17 280
ETVMVS443.50 271498.07 272279.78 278378.05 298321.57 2931163.68 29787.12 296897.50 297269.81 286822.83 293141.20 305334.53 281568.21 289154.21 291183.26 297
ADS-MVSNet2443.33 269482.84 268324.79 291434.94 312387.73 3041110.57 29287.69 297887.02 295282.92 289779.29 28498.57 289422.76 299502.40 275162.19 301163.87 288
ADS-MVSNet443.33 269482.84 268324.79 291434.94 312387.73 3041110.57 29287.69 297887.02 295282.92 289779.29 28498.57 289422.76 299502.40 275162.19 301163.87 288
testing3-2489.51 275555.88 278290.42 279362.21 292319.27 2911424.84 30488.81 299964.80 301309.62 295879.13 297174.38 314363.98 283643.82 299155.29 292188.01 299
RPSCF394.81 261445.63 263242.35 268276.55 278253.63 2781207.27 30090.69 300715.56 283241.57 278684.87 277111.96 293320.02 278548.38 286133.81 287153.39 285
testing3418.10 264469.06 266265.23 276335.69 286290.63 2861240.88 30193.72 301717.99 284215.31 273811.97 292232.41 338358.74 282458.67 271114.88 276146.32 281
MVP-Stereo473.58 273533.67 275293.33 280376.00 296318.00 2891461.00 30696.00 302835.00 292290.00 292804.00 28997.00 287383.00 291688.00 304156.00 293179.00 295
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 273533.67 275293.33 280376.00 296318.00 2891461.00 30696.00 302835.00 292290.00 292804.00 28997.00 287383.00 291688.00 304156.00 293179.00 295
lessismore_v0569.20 321667.25 339644.68 33996.45 304428.86 3121514.17 334204.21 333756.58 3331061.60 329197.79 311306.34 323
EG-PatchMatch MVS437.03 268493.12 271268.77 277264.80 274260.20 2821491.80 30898.00 305723.20 286238.80 277722.40 28063.10 277382.00 289629.00 294207.00 312164.10 290
Syy-MVS370.76 257415.60 260236.25 266310.54 282210.76 272965.13 28198.58 306746.06 287266.26 284788.85 28691.37 285364.76 284357.17 263116.42 278133.22 275
myMVS_eth3d390.90 260437.44 261251.28 272310.54 282255.86 279965.13 28198.58 306746.06 287266.26 284788.85 286154.95 307364.76 284490.19 273116.42 278133.22 275
door99.00 308
WBMVS655.88 288770.84 293310.98 287391.79 303353.00 2992280.68 32299.17 3091776.79 341301.20 2941123.23 314187.34 324390.28 293620.39 293156.98 295189.66 301
IterMVS615.05 285691.66 288385.23 296516.40 316454.80 3141863.80 315102.10 3101142.20 312364.10 3061093.20 313135.00 301480.40 304826.90 309181.20 306220.50 307
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
K. test v3877.74 313980.16 316570.46 3221316.85 362813.15 3482565.52 337103.78 3111509.49 331548.33 3261258.90 318219.93 337587.82 3211102.37 338196.30 310310.42 324
SixPastTwentyTwo773.62 297869.37 302486.35 314603.45 320547.15 3302532.14 336106.92 3121434.95 322428.08 3111360.56 321165.15 312628.96 325984.09 318209.01 314282.94 319
PatchmatchNetpermissive492.52 276551.22 277316.40 289400.20 306357.90 3011277.10 302115.80 3131034.60 310315.90 296874.00 295155.10 308402.20 296629.50 295158.80 297189.10 300
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
DELS-MVS514.57 278587.73 281295.12 282343.03 288328.09 2971540.48 310116.22 314988.59 302325.44 300906.22 299119.86 298365.72 286788.60 308161.09 300191.55 302
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
SSC-MVS3.2667.82 290787.71 294308.16 285385.94 301327.65 2951718.51 312117.00 3151942.46 347317.12 2971488.73 331183.89 315404.82 297763.70 306172.02 304192.01 303
UBG667.82 290787.71 294308.16 285385.94 301327.65 2951718.51 312117.00 3151942.46 347317.12 2971488.73 331183.89 315404.82 297763.70 306172.02 304192.01 303
mvs_anonymous774.90 298882.28 304452.77 303636.50 330537.20 3212348.80 325120.30 3171504.30 324474.40 3151371.10 323186.90 317564.70 3121078.90 330219.30 315256.40 309
casdiffmvspermissive774.90 298882.28 304452.77 303636.50 330537.20 3212348.80 325120.30 3171504.30 324474.40 3151371.10 323186.90 317564.70 3121078.90 330219.30 315256.40 309
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 298882.28 304452.77 303636.50 330537.20 3212348.80 325120.30 3171504.30 324474.40 3151371.10 323186.90 317564.70 3121078.90 330219.30 315256.40 309
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 298882.28 304452.77 303636.50 330537.20 3212348.80 325120.30 3171504.30 324474.40 3151371.10 323186.90 317564.70 3121078.90 330219.30 315256.40 309
baseline1774.90 298882.28 304452.77 303636.50 330537.20 3212348.80 325120.30 3171504.30 324474.40 3151371.10 323186.90 317564.70 3121078.90 330219.30 315256.40 309
casdiffmvs_mvgpermissive774.90 298882.28 304452.77 303636.50 330537.20 3212348.80 325120.30 3171504.30 324474.40 3151371.10 323186.90 317564.70 3121078.90 330219.30 315256.40 309
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 298882.28 304452.77 303636.50 330537.20 3212348.80 325120.30 3171504.30 324474.40 3151371.10 323186.90 317564.70 3121078.90 330219.30 315256.40 309
IterMVS-LS758.94 295856.56 299466.10 311606.60 321546.80 3292309.90 323122.20 3241402.80 321463.50 3141348.20 320192.60 327574.60 3201028.60 327234.60 324276.90 318
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 286700.96 289362.78 294426.10 311409.25 3071822.69 314124.42 3251186.23 314366.85 3071079.42 311190.60 326451.78 301930.72 315181.59 307227.30 308
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
PVSNet1207.94 6829.56 311937.18 312506.69 316645.55 337585.72 3322477.98 333130.52 3261578.29 333509.50 3231460.01 330194.90 328637.19 3271170.78 339267.07 328297.17 321
ACMH993.80 5967.92 3171106.11 327553.33 318494.00 314534.00 3193581.00 347136.00 3271585.00 334478.00 3221871.00 34490.00 282839.00 3371460.00 346260.00 325287.00 320
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++1242.93 3311411.08 334738.48 336712.71 341712.68 3424168.17 352136.50 3282276.40 353613.28 3362368.60 352161.61 3101130.38 3561964.54 356297.88 331372.39 332
MVS_111021_LR1136.45 3291298.72 332649.64 327756.17 343726.26 3443785.94 348138.15 3292190.64 351629.63 3372064.39 347165.45 313874.83 3391678.43 352279.70 329347.82 330
new-patchmatchnet766.12 296859.03 300487.38 315595.68 318536.14 3202346.27 324142.51 3301488.08 323422.43 3101361.32 322163.65 311628.60 3241003.74 326207.61 313297.41 322
ACMMPR1296.60 3331480.82 336743.96 337899.25 347763.47 3464305.47 353143.90 3312530.94 356683.99 3382346.34 351201.65 3311098.25 3541920.59 355295.21 330370.16 331
MVSTER890.06 3151005.91 323542.52 317736.13 342653.90 3402616.56 338145.22 3321692.10 338555.69 3301554.72 335266.25 339660.02 3291219.66 343266.84 327313.64 325
ACMP1246.57 71086.24 3261235.17 330639.45 326596.53 319639.91 3383904.24 350152.04 3331851.54 343566.58 3311997.95 346138.50 303938.30 3421605.46 349303.70 334340.14 327
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PVSNet_01661.03 9968.54 3181066.82 326673.70 332706.94 340695.69 3412669.02 340153.52 3342108.17 350605.54 3321679.14 338213.26 336886.75 3401236.76 344229.01 323438.67 338
ACMM1311.08 81165.06 3301332.72 333662.07 330584.90 317715.99 3434373.59 354153.99 3351880.27 344709.02 3412316.97 349188.63 325939.89 3431484.30 347302.78 333330.34 326
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MG-MVS1256.50 3321432.00 335730.00 335610.00 322760.00 3454720.00 355169.00 3361920.00 345723.00 3432510.00 355201.00 3301050.00 3531645.00 351390.00 338380.00 333
TSAR-MVS + GP.1386.84 3341622.84 338678.81 333952.13 349840.17 3505358.21 358170.75 3372650.47 357713.54 3422394.28 353209.42 335855.56 3381854.36 354302.42 332340.71 328
CSCG826.03 310963.29 315414.24 299421.52 309426.11 3102230.35 321179.52 3381827.44 342733.43 344933.12 301281.25 340545.23 3101800.35 353262.64 326271.38 317
Gipumacopyleft689.75 292767.00 292458.00 310613.00 328549.00 3311943.00 316187.00 3391230.00 315518.00 3241092.00 312203.00 332564.00 311892.00 313225.00 322261.00 316
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
DeepC-MVS_fast2190.19 121535.59 3361886.82 340481.89 313847.73 344830.16 3497943.84 374189.23 3402398.83 354691.73 3402341.13 350209.16 334230.25 2651999.25 357360.46 336385.25 334
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
test_04021110.00 3281260.00 331660.00 328900.00 348780.00 3473300.00 345210.00 3412040.00 349690.00 3391950.00 345300.00 343810.00 3361620.00 350330.00 335390.00 335
tpmvs501.65 277567.42 279304.33 284395.39 304356.32 3001512.04 309216.53 342994.15 303350.16 304804.16 291119.38 297380.98 288555.14 288159.87 299175.69 293
OpenMVS_ROBcopyleft1936.51 101959.51 3392224.88 3431163.39 3501253.91 3591434.22 3667065.71 364272.76 3432472.29 3551647.54 3883538.72 361200.37 3291496.48 3602575.17 362997.45 379559.48 341
PMVScopyleft863.65 3957.08 3161054.11 325666.00 331401.00 307495.00 3173790.00 349279.00 3441607.00 335521.00 3251745.00 34190.00 2821105.00 355639.00 297415.00 340398.00 336
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
DPM-MVS3268.00 3593762.89 3621783.33 3691756.00 3731806.00 38612319.00 397307.00 3456319.00 3891557.00 3795763.00 381302.00 3442609.00 3835061.00 386482.00 341935.00 371
OPM-MVS3268.00 3593762.89 3621783.33 3691756.00 3731806.00 38612319.00 397307.00 3456319.00 3891557.00 3795763.00 381302.00 3442609.00 3835061.00 386482.00 341935.00 371
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
test_0728_SECOND1451.45 3581725.60 3681598.35 3729203.30 381315.86 3472023.43 3703973.88 375620.04 346732.56 351
test07261725.60 3681598.35 3729203.30 381315.86 3475016.02 3781363.85 3684894.28 375387.23 353
SD-MVS2654.53 3513055.56 3561451.45 3581725.60 3681598.35 3729203.30 381315.86 3475016.02 3781363.85 3684894.28 375387.23 3532023.43 3703973.88 375620.04 346732.56 351
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
tpmrst2557.50 3492847.12 3521688.66 3651784.08 3761778.25 3857445.50 371342.14 3504471.54 3731534.55 3754382.10 370530.10 3652361.21 3774142.81 378991.22 378926.51 369
DVP-MVS++3981.10 3694731.32 3741730.42 3672191.51 3871949.98 39016473.90 406355.33 3517172.90 4001622.98 3867879.79 397434.33 3562428.11 3795762.12 389689.04 351813.18 357
DVP-MVScopyleft3981.10 3694731.32 3741730.42 3672191.51 3871949.98 39016473.90 406355.33 3517172.90 4001622.98 3867879.79 397434.33 3562428.11 3795762.12 389689.04 351813.18 357
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
COLMAP_ROBcopyleft2144.59 111658.33 3371869.33 3391025.33 3471030.00 3571023.00 3625311.00 357359.00 3533044.00 358937.00 3482892.00 356332.00 3471440.00 3592312.00 359607.00 343613.00 344
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
AdaColmapbinary2570.77 3502948.61 3531437.24 3571873.64 3771526.60 3697819.77 372373.97 3544970.45 3761479.29 3734648.46 372525.80 3641904.97 3684150.42 379695.69 356880.14 367
tmp_tt371.08 258412.78 259246.00 270231.00 266197.00 2691293.00 303376.00 355756.00 289609.00 33371.00 210106.00 292195.00 261102.00 219171.00 303346.00 329
ZD-MVS1584.00 3651821.00 388378.00 3563721.00 3641231.00 3631833.00 342321.00 3461224.00 3572103.00 358692.00 354
MVS-HIRNet2125.39 3412452.68 3441143.53 3492938.33 4051446.92 3676083.19 359391.74 3573801.71 3651202.10 3623439.72 359492.73 3611304.35 3583048.25 366676.32 349679.32 350
F-COLMAP1878.17 3382113.11 3411173.33 3511231.00 3581174.00 3636297.00 360392.00 3583356.00 3621087.00 3583082.00 357361.00 3511670.00 3612523.00 361689.00 350676.00 349
OpenMVScopyleft2352.88 132263.08 3432530.89 3461459.67 3601767.00 3751591.00 3717932.00 373399.00 3593643.00 3631176.00 3613569.00 362297.00 3421927.00 3693302.00 367693.00 355861.00 363
PatchmatchNet2copyleft400.00 305400.00 306400.00 240400.00 360400.00 262
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
CHOSEN 280x4202340.81 3452643.03 3481434.14 3542025.55 3841629.36 3756542.40 361412.49 3614219.70 3691547.02 3764328.52 367650.74 3771798.26 3643333.17 368727.72 357874.79 364
CHOSEN 1792x26882340.81 3452643.03 3481434.14 3542025.55 3841629.36 3756542.40 361412.49 3614219.70 3691547.02 3764328.52 367650.74 3771798.26 3643333.17 368727.72 357874.79 364
HyFIR lowres test2340.81 3452643.03 3481434.14 3542025.55 3841629.36 3756542.40 361412.49 3614219.70 3691547.02 3764328.52 367650.74 3771798.26 3643333.17 368727.72 357874.79 364
gg-mvs-nofinetune594.69 282605.37 282562.67 320617.29 329500.33 318772.30 268413.12 364579.21 268552.71 327567.40 264662.54 382531.67 305503.93 277779.80 361656.02 345
TSAR-MVS + MP.3528.01 3624065.89 3691914.35 3722349.10 3902141.30 39512362.70 399417.60 3656717.80 3951759.40 3906497.50 384518.18 3632629.38 3865164.32 388806.40 368972.38 376
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
SteuartSystems-ACMMP2891.50 3563284.78 3591711.67 3661954.00 3781655.00 37810117.00 394445.00 3665102.00 3811375.00 3725126.00 379351.00 3502638.00 3874402.00 382691.00 353842.00 361
Skip Steuart: Steuart Systems R&D Blog.
PCF-MVS4335.85 202272.23 3442597.03 3471297.84 3521701.20 3671332.37 3648105.11 375451.45 3674031.84 3671099.10 3593966.50 365467.45 3591734.05 3632701.68 364848.94 370827.11 360
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
TAPA-MVS6309.84 213374.90 3613806.99 3642078.63 3782535.47 3952499.25 4048816.16 379456.05 3686255.60 3881664.52 3896704.88 386629.95 3752768.38 3886343.93 400856.35 371968.25 375
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
LF4IMVS2699.50 3533049.67 3551649.00 3641755.00 3721689.00 3798330.00 376464.00 3694997.00 3771528.00 3744763.00 374568.00 3682296.00 3764215.00 380827.00 369962.00 374
Vis-MVSNetpermissive2877.42 3553170.00 3581999.67 3761673.00 3662042.00 3948593.00 378474.00 3706452.00 3911268.00 3665125.00 378339.00 3483004.00 3914222.00 381384.00 337953.00 373
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
PLCcopyleft2858.82 162192.92 3422474.00 3451349.67 3531407.00 3631356.00 3657164.00 365475.00 3713970.00 3661237.00 3653765.00 364451.00 3581891.00 3673006.00 365791.00 366802.00 354
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
3Dnovator2482.06 142531.17 3482839.56 3511606.00 3621732.00 3711557.00 3708375.00 377483.00 3724370.00 3721371.00 3714200.00 366350.00 3492207.00 3743877.00 374798.00 3671054.00 384
FOURS12643.17 3962465.14 39913996.40 401493.26 3737619.38 4032107.24 394
MSC_two_6792asdad2237.56 3792643.17 3962465.14 399493.26 3733088.29 3966075.14 3961078.39 3881159.26 386
No_MVS2237.56 3792643.17 3962465.14 399493.26 3733088.29 3966075.14 3961078.39 3881159.26 386
test_one_06012643.17 3962465.14 399493.26 3737619.38 4032107.24 3947416.93 393610.24 372
SED-MVS4062.74 3724671.13 3732237.56 3792643.17 3962465.14 39913996.40 401493.26 3737619.38 4032107.24 3947416.93 393610.24 3723088.29 3966075.14 3961078.39 3881159.26 386
FPMVS1407.00 3351495.59 3371141.23 348648.01 338893.85 3524124.00 351503.81 3783219.04 360742.72 3452498.84 354157.98 3091727.83 362832.93 310732.98 360802.00 354
GG-mvs-BLEND596.01 323611.29 325600.33 333790.30 269513.12 379552.71 327567.40 264662.54 382531.67 305503.93 277779.80 361656.02 345
CR-MVSNet612.36 284617.81 285596.01 323611.29 325600.33 333790.30 269513.12 379579.21 268552.71 327567.40 264662.54 382531.67 305503.93 277779.80 361656.02 345
IU-MVS2725.60 4012598.35 405515.86 3817016.02 3962363.85 3985973.88 3921620.04 4001732.56 396
test_241102_TWO515.86 3817016.02 3962363.85 3986894.28 387887.23 3903023.43 3925973.88 3921620.04 4001732.56 396
test_241102_ONE2725.60 4012598.35 405515.86 3817016.02 3962363.85 3986894.28 387887.23 3903023.43 392
MSP-MVS4296.20 3734911.12 3772451.45 3872725.60 4012598.35 40516203.30 405515.86 3817016.02 3962363.85 3986894.28 387887.23 3903023.43 3925973.88 3921620.04 4001732.56 396
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
MVS_111021_HR3742.80 3674330.34 3701980.20 3742484.31 3932259.52 39714973.80 404515.90 3856500.13 3921949.21 3936146.89 383535.66 3662593.66 3824880.76 385986.37 3771087.43 385
DeepPCF-MVS3452.42 182670.71 3523021.57 3541618.12 3632377.67 3911751.39 3848915.70 380567.44 3864569.74 3741236.84 3644615.63 371513.23 3622291.32 3753515.48 371882.39 372811.66 356
DeepC-MVS3917.13 193155.06 3583601.83 3611814.72 3712515.52 3941941.53 38910432.50 395589.42 3874789.45 3751298.65 3677677.31 396578.35 3692589.53 3813611.78 373923.52 375913.10 368
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
RE-MVS-def610.10 283610.10 323610.10 336610.10 262610.10 388610.10 275610.10 334610.10 270610.10 370610.10 291610.10 344610.10 342
SR-MVS610.10 283610.10 283610.10 325610.10 323610.10 336610.10 262610.10 388610.10 275610.10 334610.10 270610.10 370610.10 322610.10 291610.10 344610.10 342
RPMNet787.26 306829.13 297661.63 329885.90 345895.90 353455.98 249610.10 3881297.17 3171002.26 3561001.67 309655.98 380611.10 323667.90 300885.21 373477.90 339
3Dnovator+3414.41 173146.67 3573537.00 3601975.67 3732310.00 3892005.00 39310100.00 393626.00 3915753.00 3821803.00 3915179.00 380487.00 3602622.00 3854550.00 3831025.00 3871300.00 391
EGC-MVSNET2819.75 3543096.89 3571988.33 3753105.00 4062241.00 3969480.00 385640.00 3924209.00 3681583.00 3814740.00 373547.00 3672797.00 3892644.00 363924.00 376927.00 370
JIA-IIPM804.30 307835.64 298710.26 334885.90 345895.90 353455.98 249668.73 3931297.17 3171002.26 3561001.67 309655.98 380756.98 334667.90 300885.21 373477.90 339
ITE_SJBPF2014.00 3771998.00 3791992.00 392701.00 3945989.00 3831812.00 3923612.00 363650.00 3762852.00 3904601.00 3841195.00 3931198.00 390
CLD-MVS7338.25 3768341.00 3794330.00 3934902.00 4104991.00 41323318.00 413728.00 39514437.00 4174378.00 40813379.00 411824.00 3885708.00 40811429.00 4171674.00 4042291.00 404
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MAR-MVS3973.16 3684387.92 3712728.86 3893345.27 4083341.39 41211403.90 396798.76 3966555.62 3942569.29 4036514.86 385834.97 3893237.43 4015891.08 3911577.54 3991607.76 392
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
OMC-MVS5022.26 3755748.82 3782842.58 3914905.27 4113101.27 40914933.60 403812.24 3979278.40 4072959.29 4058800.17 4031092.24 4023806.30 4037568.54 4081389.60 3981620.18 394
CMPMVSbinary2623.62 151983.08 3402156.14 3421463.89 3611414.80 3641517.00 3685239.20 356867.40 3983310.30 3611128.70 3603489.90 360366.75 3522030.20 3732427.60 3601160.60 392844.46 362
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
tpm23617.85 3634007.23 3652449.73 3832012.71 3801698.05 3807351.19 367869.29 3996132.06 3841588.28 3828007.42 3991281.09 4043888.11 4047472.04 4041351.00 3941763.02 400
tpm cat13617.85 3634007.23 3652449.73 3832012.71 3801698.05 3807351.19 367869.29 3996132.06 3841588.28 3828007.42 3991281.09 4043888.11 4047472.04 4041351.00 3941763.02 400
CostFormer3617.85 3634007.23 3652449.73 3832012.71 3801698.05 3807351.19 367869.29 3996132.06 3841588.28 3828007.42 3991281.09 4043888.11 4047472.04 4041351.00 3941763.02 400
tpm3617.85 3634007.23 3652449.73 3832012.71 3801698.05 3807351.19 367869.29 3996132.06 3841588.28 3828007.42 3991281.09 4043888.11 4047472.04 4041351.00 3941763.02 400
API-MVS4380.83 3744906.56 3762803.67 3903844.00 4093116.00 41013454.00 400901.00 4036511.00 3932794.00 4047365.00 392754.00 3863634.00 4026622.00 4011914.00 4051661.00 395
ambc999.00 340999.00 350999.00 355999.00 284999.00 404999.00 349999.00 302999.00 395999.00 346999.00 319999.00 380999.00 377
OurMVSNet-221017-0999.00 319999.00 317999.00 340999.00 350999.00 355999.00 284999.00 404999.00 304999.00 349999.00 302999.00 395999.00 346999.00 319999.00 380999.00 377
EPMVS999.00 319999.00 317999.00 340999.00 350999.00 355999.00 284999.00 404999.00 304999.00 349999.00 302999.00 395999.00 346999.00 319999.00 380999.00 377
uanet_test1000.00 3211000.00 3191000.00 3431000.00 3531000.00 3581000.00 2871000.00 4071000.00 3061000.00 3521000.00 3051000.00 3981000.00 3491000.00 3221000.00 3831000.00 380
sosnet1000.00 3211000.00 3191000.00 3431000.00 3531000.00 3581000.00 2871000.00 4071000.00 3061000.00 3521000.00 3051000.00 3981000.00 3491000.00 3221000.00 3831000.00 380
USDC1000.00 3211000.00 3191000.00 3431000.00 3531000.00 3581000.00 2871000.00 4071000.00 3061000.00 3521000.00 3051000.00 3981000.00 3491000.00 3221000.00 3831000.00 380
TinyColmap1000.00 3211000.00 3191000.00 3431000.00 3531000.00 3581000.00 2871000.00 4071000.00 3061000.00 3521000.00 3051000.00 3981000.00 3491000.00 3221000.00 3831000.00 380
Patchmtry1090.75 3271198.88 329766.38 3381290.90 360485.90 3162423.98 3321267.30 4111297.17 317923.90 346923.40 3001215.54 403990.23 344667.90 300779.80 361823.02 359
PatchT856.34 312860.99 301842.38 3391290.90 360880.90 351790.30 2691267.30 411579.21 268923.90 346567.40 264662.54 382990.23 344887.56 312779.80 361656.02 345
LS3D7684.71 3778776.23 3804410.16 3945298.55 4125631.53 41434329.90 4151504.57 41311554.00 4163896.41 40715111.00 412812.19 3875985.63 4093516.20 3722963.23 4071613.31 393
CNLPA10738.67 38611772.44 3897637.33 3959120.00 4148206.00 41522252.00 4122010.00 41424984.00 4187458.00 41022596.00 4142940.00 40910260.00 41711100.00 4163492.00 4094446.00 407
GST-MVS4000.00 3714533.33 3722400.00 3822400.00 3922400.00 3987200.00 3662400.00 4157200.00 4022400.00 4027200.00 3912400.00 4082400.00 3787200.00 4022400.00 4062400.00 405
TestfortrainingZip3151.39 3923151.39 4073151.39 41121344.80 4083151.39 4163151.39 3593151.39 4063151.39 3583151.39 4103151.39 4003151.39 4083151.39 406
MVEpermissive10021.00 2210550.67 38510002.44 38812195.33 4036242.00 4138768.00 41630896.00 4144451.00 41710331.00 4156247.00 40918296.00 413283.00 34121484.00 4187364.00 4035912.00 4106334.00 408
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
LTVRE_ROB20565.47 2323378.08 38722805.00 39025097.33 40415500.00 42219201.00 42442712.00 4166055.00 41838388.00 41916926.00 41838534.00 4157071.00 41135653.00 41929475.00 41810584.00 41820438.00 417
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 38834443.44 39127094.33 40529249.00 42325246.00 42551144.00 4176705.00 41942886.00 42022888.00 41948534.00 41613263.00 41937507.00 42079298.00 41916024.00 41918530.00 416
ZNCC-MVS9999.00 3789999.00 3819999.00 3969999.00 4159999.00 4179999.00 3869999.00 4209999.00 4089999.00 4119999.00 4049999.00 4129999.00 4109999.00 4099999.00 4119999.00 409
patch_mono-210000.00 37910000.00 38210000.00 39710000.00 41610000.00 41810000.00 38710000.00 42110000.00 40910000.00 41210000.00 40510000.00 41310000.00 41110000.00 41010000.00 41210000.00 410
dcpmvs_210000.00 37910000.00 38210000.00 39710000.00 41610000.00 41810000.00 38710000.00 42110000.00 40910000.00 41210000.00 40510000.00 41310000.00 41110000.00 41010000.00 41210000.00 410
DCPMVS10000.00 37910000.00 38210000.00 39710000.00 41610000.00 41810000.00 38710000.00 42110000.00 40910000.00 41210000.00 40510000.00 41310000.00 41110000.00 41010000.00 41210000.00 410
UA-Net10000.00 37910000.00 38210000.00 39710000.00 41610000.00 41810000.00 38710000.00 42110000.00 40910000.00 41210000.00 40510000.00 41310000.00 41110000.00 41010000.00 41210000.00 410
uncertanet10000.00 37910000.00 38210000.00 39710000.00 41610000.00 41810000.00 38710000.00 42110000.00 40910000.00 41210000.00 40510000.00 41310000.00 41110000.00 41010000.00 41210000.00 410
uanet10000.00 37910000.00 38210000.00 39710000.00 41610000.00 41810000.00 38710000.00 42110000.00 40910000.00 41210000.00 40510000.00 41310000.00 41110000.00 41010000.00 41210000.00 410
test-26052499999.00 42499999.00 42699999.00 42799999.00 42099999.00 42099999.00 42199999.00 42099999.00 420
114514_t99999.00 38999999.00 39299999.00 40699999.00 42499999.00 42699999.00 41899999.00 42799999.00 42199999.00 42099999.00 41799999.00 42099999.00 42199999.00 42099999.00 42099999.00 418
PHI-MVS99999.00 38999999.00 39299999.00 40699999.00 42499999.00 42699999.00 41899999.00 42799999.00 42199999.00 42099999.00 41799999.00 42099999.00 42199999.00 42099999.00 42099999.00 418
XVG-OURS-SEG-HR999999.00 393999999.00 394999999.00 408999999.00 427999999.00 429999999.00 420999999.00 430999999.00 423999999.00 423999999.00 419999999.00 423999999.00 424999999.00 423999999.00 424999999.00 420
XVG-OURS999999.00 393999999.00 394999999.00 408999999.00 427999999.00 429999999.00 420999999.00 430999999.00 423999999.00 423999999.00 419999999.00 423999999.00 424999999.00 423999999.00 424999999.00 420
XVG-ACMP-BASELINE999999.00 393999999.00 394999999.00 408999999.00 427999999.00 429999999.00 420999999.00 430999999.00 423999999.00 423999999.00 419999999.00 423999999.00 424999999.00 423999999.00 424999999.00 420
PRO-TEST10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
aaatest10000000.00 41110000000.00 43010000000.00 43221344.80 40810000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42710000000.00 42610000000.00 42710000000.00 423
MED-MVS8343445.32 3967791260.42 39910000000.00 41110000000.00 43010000000.00 43221344.80 40810000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42699999.00 42010000000.00 423
TestfortrainingZip a9168445.40 3978891260.53 40010000000.00 41110000000.00 43010000000.00 43221344.80 40810000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
mamba_040810000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
icg_test_0407_210000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
SSM_0407210000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
SSM_040710000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
IMVS_040710000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
IMVS_040410000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
SSM_040410000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
IMVS_040310000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
SD_040310000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
aaEdge-Enhanced10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
NormalMVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
lecture10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
SymmetryMVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
Elysia10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
StellarMVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
KinetiMVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
LuminaMVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
VortexMVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
AstraMVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
guyue10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
sc_t110000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
tt0320-xc10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
tt032010000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
MVSMamba_PlusPlus10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
MGCFI-Net10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
sasdasda10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
dmvs_re10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
SDMVSNet10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
dmvs_testset10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
sd_testset10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
BridgeMVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
MonoMVSNet10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
test250610000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
test111110000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
ECVR-MVScopyleft10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
test_blank10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
tt080510000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
Anonymous2024052110000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
cl2210000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
miper_ehance_all_eth10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
miper_enhance_ethall10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
cl____10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
DIV-MVS_self_test10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
eth_miper_zixun_eth10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
ET-MVSNet_ETH3D10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
UniMVSNet_ETH3D10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
miper_lstm_enhance10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
D2MVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
test_yl10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
thisisatest053010000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
Anonymous2024052910000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
Anonymous20240521110000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
DCV-MVSNet10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
tttt051710000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
our_test_310000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
thisisatest051510000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
ppachtmachnet_test10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
SMA-MVScopyleft10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
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 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
tfpnnormal10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
tfpn200view910000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
c3_l10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
IterMVS-SCA-FT10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
MTGPAbinary10000000.00 433
pmmvs610000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
pmmvs510000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
Anonymous2023121110000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
pmmvs-eth3d10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
Anonymous2023120610000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
MTAPA833442.10 3921111233.77 39867.09 21765.59 22064.81 224284.50 22210000000.00 433219.97 22559.62 228229.89 23512.72 216103.00 238203.67 25227.93 22633.46 222
MTMP10000000.00 42310000000.00 433
SCA10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
Patchmatch-test10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
Patchmatch-RL test10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
canonicalmvs10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
anonymousdsp10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
FIs10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
FC-MVSNet-test10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
sosnet-low-res10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
AllTest10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
TestCases10000000.00 41110000000.00 43010000000.00 43210000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
RRT-MVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
balanced_ft_v110000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
HPM-MVS++copyleft10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
XVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
pm-mvs110000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
X-MVStestdata10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
APDe-MVScopyleft10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
pmmvs410000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
test-LLR10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
TESTMET0.1,110000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
test-mter10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
testgi10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
test20.0310000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
thres600view710000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
MP-MVScopyleft10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
thres40010000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
test12310000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
thres20010000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
test0.0.03 110000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
pmmvs310000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
EMVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
E-PMN10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
PGM-MVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
MCST-MVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
MVS_Test10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
PMMVS210000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
PM-MVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
HQP_MVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
plane_prior510000000.00 43310000000.00 42710000000.00 42610000000.00 42710000000.00 423
mPP-MVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
mvsmamba10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
HPM-MVS_fast10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
HPM-MVScopyleft10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
LGP-MVS_train10000000.00 41110000000.00 43010000000.00 43210000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
EPNet_dtu10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP3-MVS10000000.00 43310000000.00 427
CNVR-MVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
NCCC10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
CP-MVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
CPTT-MVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
HQP-MVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
IS-MVSNet10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
PAPM_NR10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
PAPR10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
Vis-MVSNet (Re-imp)10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
PatchMatch-RL10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
TDRefinement10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
EPP-MVSNet10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
PMMVS10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
PAPM10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
ACMMPcopyleft10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
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 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
wuyk23d10000000.00 39810000000.00 40110000000.00 41110000000.00 43010000000.00 43210000000.00 42310000000.00 43310000000.00 42610000000.00 42610000000.00 42210000000.00 42610000000.00 42710000000.00 42610000000.00 42710000000.00 423
APD-MVScopyleft1000000000.00 5311000000000.00 5341000000000.00 5491000000000.00 5761000000000.00 5761000000000.00 5611000000000.00 5761000000000.00 5681000000000.00 5691000000000.00 5651000000000.00 5701000000000.00 5701000000000.00 5681000000000.00 5681000000000.00 565
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
PatchmatchNet1copyleft400.00 266400.00 339400.00 337
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
PatchmatchNet3copyleft400.00 295
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
WAC-MVS248.46 277422.23 269
PC_three_14527619.38 4032107.24 3947416.93 393610.24 3723088.29 3966075.14 3961078.39 3881159.26 386
eth-test21.42 140
eth-test10000000.00 430
OPU-MVS2451.45 3872725.60 4012598.35 4059203.30 3816894.28 387887.23 3903023.43 3925973.88 3921620.04 4001732.56 396
test_0728_THIRD5016.02 3781363.85 3684894.28 375387.23 3532023.43 3703973.88 375620.04 346732.56 351
GSMVS10000000.00 423
test_part210000000.00 43010000000.00 43210000000.00 426
sam_mvs110000000.00 42610000000.00 423
sam_mvs10000000.00 426
test_post110000000.00 42310000000.00 42210000000.00 42610000000.00 42710000000.00 426
test_post10000000.00 42210000000.00 42610000000.00 427
patchmatchnet-post10000000.00 42210000000.00 42610000000.00 427
gm-plane-assit611.29 325600.33 333579.21 268567.40 264531.67 305503.93 277
test9_res0.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
test_prior40.00 10.00 1
test_prior20.00 10.00 10.00 10.00 10.00 10.00 10.00 1
旧先验20.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
原ACMM20.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
testdata10.00 10.00 1
plane_prior710000000.00 43010000000.00 432
plane_prior610000000.00 43010000000.00 43210000000.00 426
plane_prior410000000.00 422
plane_prior310000000.00 43210000000.00 42610000000.00 426
plane_prior210000000.00 42310000000.00 426
plane_prior110000000.00 430
plane_prior1.00 1342.00 1722.00 1732.00 171
HQP5-MVS10000000.00 432
HQP-NCC10000000.00 43010000000.00 42310000000.00 42610000000.00 426
ACMP_Plane10000000.00 43010000000.00 42310000000.00 42610000000.00 426
BP-MVS10000000.00 426
HQP4-MVS10000000.00 42610000000.00 42710000000.00 423
HQP2-MVS10000000.00 426
NP-MVS10000000.00 43010000000.00 43210000000.00 422
MDTV_nov1_ep13_2view9.99 1949.99 1929.99 1939.99 1929.99 1979.99 1909.99 193
ACMMP++_ref10000000.00 427
ACMMP++10000000.00 427
Test By Simon990.00 394