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 bysort bysorted 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
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_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10.00 10.00 10.00 10.00 10.00 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
testdata10.00 10.00 1
13140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
QAPM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
h-mvs330.30 920.30 930.30 970.30 1040.30 1040.30 1040.30 1050.30 1040.30 1030.30 1010.30 1030.30 1040.30 1020.30 1020.30 102
hse-mvs20.30 920.30 930.30 970.30 1040.30 1040.30 1040.30 1050.30 1040.30 1030.30 1010.30 1030.30 1040.30 1020.30 1020.30 102
CL-MVSNet_self_test0.30 920.30 930.30 970.30 1040.30 1040.30 1040.30 1050.30 1040.30 1030.30 1010.30 1030.30 1040.30 1020.30 1020.30 102
AUN-MVS0.30 920.30 930.30 970.30 1040.30 1040.30 1040.30 1050.30 1040.30 1030.30 1010.30 1030.30 1040.30 1020.30 1020.30 102
LCM-MVSNet0.37 960.36 970.37 1010.37 1080.37 1080.37 1080.32 1090.37 1080.37 1070.37 1050.37 1070.37 1080.37 1060.37 1060.37 106
v1441920.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v19219200.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v11920.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v11440.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v1480.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v7n0.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v12400.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v80.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v100.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v2v4820.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
V420.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
GA-MVS0.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
Fast-Effi-MVS+0.41 1090.40 980.41 1140.41 1210.41 1210.41 1210.35 1100.41 1210.41 1200.41 1180.41 1200.41 1210.41 1190.41 1190.41 119
Fast-Effi-MVS+-dtu0.44 1100.44 1110.44 1150.44 1220.44 1220.44 1220.44 1230.44 1220.44 1210.44 1190.44 1210.44 1220.44 1200.44 1200.44 120
Effi-MVS+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
DeepMVS_CXcopyleft1.00 1271.00 1341.00 1341.00 1351.00 1341.00 1331.00 1311.00 1331.00 1341.00 1321.00 1321.00 132
MDA-MVSNet-bldmvs1.20 1221.20 1231.20 1281.20 1351.20 1361.20 1341.20 1371.20 1351.20 1341.20 1321.20 1341.20 1351.20 1331.20 1331.20 133
YYNet11.20 1221.20 1231.20 1281.20 1351.20 1361.20 1341.20 1371.20 1351.20 1341.20 1321.20 1341.20 1351.20 1331.20 1331.20 133
MDA-MVSNet_test_wron1.20 1221.20 1231.20 1281.20 1351.20 1361.20 1341.20 1371.20 1351.20 1341.20 1321.20 1341.20 1351.20 1331.20 1331.20 133
KD-MVS_2432*16001.30 1251.30 1261.30 1311.30 1381.30 1391.30 1371.30 1401.30 1381.30 1371.30 1351.30 1371.30 1381.30 1361.30 1361.30 136
miper_refine_blended1.30 1251.30 1261.30 1311.30 1381.30 1391.30 1371.30 1401.30 1381.30 1371.30 1351.30 1371.30 1381.30 1361.30 1361.30 136
EI-MVSNet-UG-set1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
EI-MVSNet-Vis-set1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
EI-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
Regformer1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
CVMVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
EU-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
PS-CasMVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
UniMVSNet_NR-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
PEN-MVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
TransMVSNet (Re)1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
DTE-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
DU-MVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
UniMVSNet (Re)1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
CP-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
WR-MVS_H1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
WR-MVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
NR-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
Baseline_NR-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
TranMVSNet+NR-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
MVSFormer1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
jason1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
jason: jason.
lupinMVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
test_djsdf1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
reproduce_monomvs1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
mmtdpeth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
reproduce_model1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
reproduce-ours1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
our_new_method1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
mmdepth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
monomultidepth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
mvs5depth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
MVStest11.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
ttmdpeth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
alignmvs2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
nrg0302.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
LFMVS2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VDD-MVS2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VDDNet2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VPNet2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VNet2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VPA-MVSNet2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
plane_prior1.00 1342.00 1722.00 1732.00 171
cascas2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
UnsupCasMVSNet_eth5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
UnsupCasMVSNet_bld5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
WTY-MVS5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
HY-MVS5.90 15.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
sss5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
Test_1112_low_res5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
1112_ss5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
ab-mvs-re5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
ab-mvs5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
CDPH-MVS6.66 1786.66 1796.66 1846.66 1926.66 1926.66 1916.66 1986.66 1926.66 1906.66 1886.66 1926.66 1916.66 1896.66 1926.66 192
MDTV_nov1_ep13_2view9.99 1949.99 1929.99 1939.99 1929.99 1979.99 1909.99 193
MDTV_nov1_ep139.99 1809.99 1939.99 1949.99 1929.99 2049.99 1939.99 1929.99 1899.99 1979.99 1939.99 1909.99 194
xiu_mvs_v1_base_debu10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
xiu_mvs_v2_base10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
xiu_mvs_v1_base10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
xiu_mvs_v1_base_debi10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
cdsmvs_eth3d_5k10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
pcd_1.5k_mvsjas10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
PS-MVSNAJss10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
PS-MVSNAJ10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
jajsoiax10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
mvs_tets10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
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
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
GeoE19.41 19222.09 19411.37 19717.21 20811.30 20650.50 2144.30 18833.60 20711.70 20644.50 2107.30 19418.90 20722.60 2057.10 1933.90 180
test_method18.29 19120.89 19310.50 19615.00 20613.00 20855.00 2153.00 18734.00 20811.50 20432.50 2025.00 18213.50 20527.00 2065.00 1825.00 182
VLMVS39.38 19339.70 19538.39 20143.20 21641.62 21435.73 20839.21 26835.81 20946.46 21942.92 20831.86 25336.19 20946.03 21236.10 23537.37 236
MVS_clip42.12 20041.02 20145.43 21141.55 21547.24 21834.87 20631.91 26239.23 21047.00 22043.77 20945.79 26945.96 21641.07 21143.97 25643.09 249
BH-w/o40.00 19440.00 19640.00 20340.00 21140.00 21040.00 20940.00 26940.00 21140.00 21340.00 20440.00 26140.00 21040.00 20740.00 24740.00 241
BH-untuned40.00 19440.00 19640.00 20340.00 21140.00 21040.00 20940.00 26940.00 21140.00 21340.00 20440.00 26140.00 21040.00 20740.00 24740.00 241
BH-RMVSNet40.00 19440.00 19640.00 20340.00 21140.00 21040.00 20940.00 26940.00 21140.00 21340.00 20440.00 26140.00 21040.00 20740.00 24740.00 241
TR-MVS40.00 19440.00 19640.00 20340.00 21140.00 21040.00 20940.00 26940.00 21140.00 21340.00 20440.00 26140.00 21040.00 20740.00 24740.00 241
MVS_baseline40.71 19840.62 20040.98 20735.83 20941.70 21540.69 21330.01 25940.17 21544.54 21747.62 21147.49 27141.26 21446.59 21332.67 23339.99 240
VLMVS_CLIP41.36 19942.10 20239.14 20239.32 21043.30 21634.99 20744.38 27740.53 21645.84 21839.32 20349.12 27341.40 21547.27 21438.10 23932.71 218
GBi-Net44.67 20149.24 20330.96 20047.53 21747.57 220126.09 2168.00 20276.99 21726.09 20873.50 21311.27 21030.55 20861.12 21512.58 20614.75 205
SIFT-PCN-Cal76.63 20586.39 20747.35 21286.31 23448.76 222235.08 21817.15 239145.29 21838.11 212117.96 21418.08 23464.06 22295.58 21823.97 21929.22 214
SIFT-CM-Cal70.81 20280.73 20441.07 20853.36 22045.50 217238.80 2197.63 200146.46 21936.86 211124.25 2158.43 19557.83 21796.77 21913.98 20719.87 208
SIFT-NCM-Cal72.17 20381.80 20543.26 20953.17 21947.34 219241.27 2207.46 199147.21 22035.86 210128.70 2168.51 19662.68 22099.13 22014.93 20819.77 207
new_pmnet88.14 20798.62 20856.70 21398.14 23956.07 223246.79 22115.37 237148.06 22150.77 222143.13 21823.35 23762.65 21893.26 21668.71 26251.38 255
N_pmnet88.14 20798.62 20856.70 21398.14 23956.07 223246.79 22115.37 237148.06 22150.77 222143.13 21823.35 23762.65 21893.26 21668.71 26251.38 255
SIFT-UM-Cal75.41 20485.83 20644.16 21052.44 21848.43 221255.64 2237.90 201154.54 22335.49 209135.89 2177.20 19362.85 221106.86 22216.47 21021.20 209
CANet110.62 211124.04 21170.34 22182.03 23074.27 235325.54 22825.25 245207.16 22469.28 243194.38 22127.53 24195.79 234147.76 22437.43 23640.97 246
CANet_DTU110.62 211124.04 21170.34 22182.03 23074.27 235325.54 22825.25 245207.16 22469.28 243194.38 22127.53 24195.79 234147.76 22437.43 23640.97 246
UGNet110.62 211124.04 21170.34 22182.03 23074.27 235325.54 22825.25 245207.16 22469.28 243194.38 22127.53 24195.79 234147.76 22437.43 23640.97 246
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
MTAPA833442.10 3941111233.77 40067.09 21965.59 22264.81 226284.50 22410000000.00 435219.97 22759.62 230229.89 23712.72 216103.00 240203.67 25427.93 22633.46 222
ALIKED-MNN111.04 214126.54 21664.54 21879.44 22972.14 232374.82 23911.60 223221.75 22853.64 226210.25 23213.20 21794.25 232152.80 22821.39 21327.22 211
SP-LightGlue108.97 210125.92 21558.13 21578.34 22761.59 225393.69 2419.94 203223.58 22948.33 221199.72 22410.99 20986.77 223149.09 22719.57 21126.03 210
XFeat-MNN108.16 209124.14 21460.24 21664.71 22165.64 228351.83 23811.05 216228.12 23052.43 224213.52 23313.22 21887.03 224160.49 22921.88 21528.05 212
SP-DiffGlue113.82 215130.70 21763.17 21767.00 22366.11 229377.48 24010.96 215236.17 23155.29 227224.34 23612.68 21594.74 233170.89 23221.50 21428.67 213
MP-MVS-pluss833433.63 3931111219.60 39975.70 23074.28 22473.29 233284.50 22411.35 219238.58 23265.86 238255.35 24714.55 220115.69 24910000000.00 42831.94 23138.12 238
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 216133.18 21875.70 23074.28 22473.29 233284.50 22411.35 219238.58 23265.86 238255.35 24714.55 220115.69 249222.18 25731.94 23138.12 238
PVSNet_Blended_VisFu136.90 232155.40 23481.40 241111.00 25296.20 249407.00 24325.90 249251.60 23485.10 256240.50 24037.00 25699.90 237199.80 25040.70 25248.10 252
PVSNet_BlendedMVS136.90 232155.40 23481.40 241111.00 25296.20 249407.00 24325.90 249251.60 23485.10 256240.50 24037.00 25699.90 237199.80 25040.70 25248.10 252
PVSNet_Blended136.90 232155.40 23481.40 241111.00 25296.20 249407.00 24325.90 249251.60 23485.10 256240.50 24037.00 25699.90 237199.80 25040.70 25248.10 252
SIFT-MNN131.73 229151.00 23073.91 227106.70 24480.02 240465.05 25413.45 227253.70 23759.23 229240.68 24315.27 223108.54 243178.34 23526.57 22433.17 220
SP-MNN124.86 224143.22 22769.79 22086.07 23367.38 230447.53 24911.56 222256.60 23864.57 236215.61 23512.66 214110.32 246172.03 23422.35 21631.67 217
SIFT-ConvMatch127.90 226145.81 22974.19 22897.94 23883.95 242423.51 24612.70 225257.99 23961.47 232240.26 23914.41 219107.54 242178.90 23625.10 22131.06 216
FMVSNet5124.76 217140.93 21976.26 232107.44 245100.17 254329.88 23127.12 252259.44 24074.30 248204.34 22530.74 24592.41 225196.98 24238.15 24036.19 226
test1124.76 217140.93 21976.26 232107.44 245100.17 254329.88 23127.12 252259.44 24074.30 248204.34 22530.74 24592.41 225196.98 24238.15 24036.19 226
FMVSNet3124.76 217140.93 21976.26 232107.44 245100.17 254329.88 23127.12 252259.44 24074.30 248204.34 22530.74 24592.41 225196.98 24238.15 24036.19 226
FMVSNet2124.76 217140.93 21976.26 232107.44 245100.17 254329.88 23127.12 252259.44 24074.30 248204.34 22530.74 24592.41 225196.98 24238.15 24036.19 226
FMVSNet1124.76 217140.93 21976.26 232107.44 245100.17 254329.88 23127.12 252259.44 24074.30 248204.34 22530.74 24592.41 225196.98 24238.15 24036.19 226
MIMVSNet1124.76 217140.93 21976.26 232107.44 245100.17 254329.88 23127.12 252259.44 24074.30 248204.34 22530.74 24592.41 225196.98 24238.15 24036.19 226
MIMVSNet124.76 217140.93 21976.26 232107.44 245100.17 254329.88 23127.12 252259.44 24074.30 248204.34 22530.74 24592.41 225196.98 24238.15 24036.19 226
SP-SuperGlue137.45 235159.15 23872.36 226165.77 26270.44 231521.33 26011.27 218259.68 24753.14 225215.13 23412.16 212113.72 248170.03 23123.81 21732.93 219
ALIKED-LG135.42 230153.61 23380.84 24096.26 23788.69 244452.25 25013.96 229264.04 24862.14 233283.13 25215.44 226116.46 252169.14 23026.17 22337.37 236
XFeat-NN131.69 228151.90 23171.09 22476.28 22677.98 238462.62 25312.91 226268.06 24960.69 231251.04 24615.36 225105.71 241196.16 24123.96 21829.58 215
SP-NN125.71 225143.74 22871.61 22578.54 22865.10 227441.23 24811.20 217269.24 25055.66 228233.01 23812.24 213116.45 251171.30 23321.23 21233.27 221
ALIKED-NN136.32 231155.63 23778.38 23989.85 23686.60 243481.11 25514.33 234272.35 25164.19 235256.34 25015.34 224112.39 247182.65 23824.52 22036.15 225
SIFT-PointCN137.54 236153.56 23289.49 24986.92 23599.27 253439.85 24720.52 241276.42 25269.62 246249.96 24423.99 239132.59 257180.42 23734.34 23436.61 233
SIFT-NN-NCMNet145.54 238166.42 24082.90 244115.73 25792.94 245527.19 26114.03 230285.84 25365.69 237256.06 24916.30 230118.43 253188.39 23928.57 22737.34 235
SIFT-NN140.61 237162.76 23974.19 228102.05 24279.09 239496.97 25612.66 224286.61 25464.13 234266.77 25115.98 227109.53 244193.75 24025.88 22233.96 223
SIFT-NN-CMatch150.38 240170.73 24189.34 248103.45 24393.34 246519.87 25913.80 228302.14 25568.52 242285.65 25316.39 231137.95 258198.09 24928.65 22836.72 234
SIFT-NCMNet150.00 239171.18 24286.47 245118.16 25894.14 248498.85 25714.22 232306.48 25666.28 240288.38 25416.10 228130.24 254202.13 25330.03 22935.03 224
SIFT-UMatch151.81 241172.70 24389.15 246114.65 25596.40 252500.71 25814.32 233311.67 25767.41 241292.77 25616.23 229130.44 255208.85 25527.71 22540.60 245
SIFT-NN-UMatch155.66 242177.77 24489.32 247115.42 25693.92 247530.76 26215.24 236312.03 25872.31 247292.83 25716.40 232130.90 256213.19 25631.76 23043.14 250
DSMNet-mixed131.33 227143.00 22696.33 25099.00 24181.00 241201.00 21745.00 278335.00 25999.00 259251.00 24538.00 259110.00 245120.00 22399.00 27398.00 264
SIFT-NN-PointCN174.29 243198.81 245100.73 251135.35 259113.50 261588.55 26324.71 244355.74 26077.37 255290.44 25527.16 240142.66 260248.71 25841.29 25546.03 251
BP-MVS1202.65 244232.15 246114.16 252183.40 265141.78 263655.87 26724.69 243372.56 261109.76 261356.89 25847.15 270139.51 259284.15 26054.86 25961.20 258
FE-MVS207.10 245234.26 247125.61 253180.34 264153.23 264635.64 26630.05 260378.38 262127.68 263377.08 25948.95 272154.43 261266.67 25963.56 26069.18 259
GDP-MVS219.79 246249.11 248131.85 254187.15 266155.97 265667.31 26830.57 261398.95 263131.26 264387.86 26058.83 277164.55 262315.00 26165.03 26175.04 261
PatchmatchNet2copyleft400.00 307400.00 308400.00 242400.00 362400.00 264
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
DP-MVS264.78 249296.02 251171.04 259191.70 267183.96 268827.10 27578.36 293438.24 265176.64 268435.12 26165.04 280230.52 268334.02 263117.96 28498.64 265
FA-MVS(test-final)261.15 248293.29 250164.72 257236.23 270199.99 272800.05 27442.35 274475.87 266155.47 266470.67 26258.49 276205.24 264319.44 26281.03 26788.93 263
ELoFTR243.08 247276.98 249141.35 255143.08 260138.37 262830.03 27620.10 240509.87 267106.57 260483.70 26317.51 233225.37 265341.57 26440.42 25160.32 257
dp87.20 206113.80 2107.42 18510.50 2048.88 193298.82 2272.70 186510.35 2687.79 191172.93 2203.37 1819.16 19214.00 2033.71 1814.23 181
kuosan267.89 250301.05 252168.41 258244.05 271177.28 267667.98 26965.76 284533.41 269157.79 267492.01 264104.69 293226.72 266364.47 26679.31 266101.21 266
gm-plane-assit611.29 327600.33 335579.21 270567.40 266531.67 307503.93 279
gg-mvs-nofinetune594.69 284605.37 284562.67 322617.29 331500.33 320772.30 270413.12 366579.21 270552.71 329567.40 266662.54 384531.67 307503.93 279779.80 363656.02 347
CR-MVSNet612.36 286617.81 287596.01 325611.29 327600.33 335790.30 271513.12 381579.21 270552.71 329567.40 266662.54 384531.67 307503.93 279779.80 363656.02 347
PatchT856.34 314860.99 303842.38 3411290.90 362880.90 353790.30 2711267.30 413579.21 270923.90 348567.40 266662.54 384990.23 346887.56 314779.80 363656.02 347
LoFTR273.51 251310.65 253162.12 256147.25 261160.13 266918.31 28021.42 242586.82 274125.36 262541.95 26520.52 235254.36 271387.55 26746.65 25771.86 260
SSC-MVS320.23 253364.09 255188.66 261260.78 274193.84 270975.93 28573.11 289596.72 275185.29 269589.02 27174.47 282246.01 269427.42 27294.06 272126.12 272
WB-MVS316.44 252357.41 254193.51 262257.06 273213.32 275914.45 27849.03 281600.77 276186.42 270634.00 27775.03 283251.35 270411.39 26988.55 269115.87 270
RE-MVS-def610.10 285610.10 325610.10 338610.10 264610.10 390610.10 277610.10 336610.10 272610.10 372610.10 293610.10 346610.10 344
SR-MVS610.10 285610.10 285610.10 327610.10 325610.10 338610.10 264610.10 390610.10 277610.10 336610.10 272610.10 372610.10 324610.10 293610.10 346610.10 344
dongtai360.45 258401.64 260236.89 269303.10 283262.16 285963.12 28272.78 287622.82 279199.37 274708.06 281130.96 301310.90 278506.46 283108.11 275137.60 281
UWE-MVS387.98 261438.66 264235.93 267349.32 291257.61 2831081.50 29382.45 297637.74 280257.12 283738.54 283134.25 302308.00 276531.93 286135.11 290142.17 282
testing91347.05 256389.92 258218.43 265275.92 279241.43 278923.71 28171.70 285667.65 281217.04 277629.00 275113.33 297281.39 274495.50 276115.45 279132.47 275
testing11348.86 257393.09 259216.15 264275.24 278239.53 277915.55 27972.35 286679.89 282215.75 276633.79 276118.08 298276.62 273509.56 284117.61 283132.30 274
UWE-MVS-28327.73 254369.67 256201.90 263281.09 281210.75 273832.98 27774.67 292680.98 283198.23 273613.42 274112.56 296259.80 272418.76 270114.35 277135.15 279
MatchFormer330.86 255378.56 257187.76 260176.61 263188.47 2691141.98 29825.30 248698.47 284149.83 265667.80 27822.42 236297.22 275470.67 27453.93 25877.59 262
RPSCF394.81 263445.63 265242.35 270276.55 280253.63 2801207.27 30290.69 302715.56 285241.57 280684.87 279111.96 295320.02 280548.38 288133.81 289153.39 287
testing3418.10 266469.06 268265.23 278335.69 288290.63 2881240.88 30393.72 303717.99 286215.31 275811.97 294232.41 340358.74 284458.67 273114.88 278146.32 283
testing99408.82 265462.15 267248.86 273322.45 287269.42 2861118.93 29673.26 290719.36 287262.28 284772.10 285150.98 308327.08 281601.98 292137.99 291150.07 285
EG-PatchMatch MVS437.03 270493.12 273268.77 279264.80 276260.20 2841491.80 31098.00 307723.20 288238.80 279722.40 28263.10 279382.00 291629.00 296207.00 314164.10 292
Syy-MVS370.76 259415.60 262236.25 268310.54 284210.76 274965.13 28398.58 308746.06 289266.26 286788.85 28891.37 287364.76 286357.17 265116.42 280133.22 277
myMVS_eth3d390.90 262437.44 263251.28 274310.54 284255.86 281965.13 28398.58 308746.06 289266.26 286788.85 288154.95 309364.76 286490.19 275116.42 280133.22 277
tmp_tt371.08 260412.78 261246.00 272231.00 268197.00 2711293.00 305376.00 357756.00 291609.00 33571.00 212106.00 294195.00 263102.00 221171.00 305346.00 331
WB-MVSnew404.84 264458.00 266245.36 271374.70 297320.27 2941193.74 30172.90 288773.77 292238.30 278688.22 28090.05 286308.59 277532.76 287157.54 298107.21 268
DP-MVS Recon516.25 281581.17 282321.48 292361.02 292429.00 3131995.36 32078.48 294796.20 293283.32 293796.02 29096.78 288382.98 292636.72 298186.66 311152.46 286
MVP-Stereo473.58 275533.67 277293.33 282376.00 298318.00 2911461.00 30896.00 304835.00 294290.00 294804.00 29197.00 289383.00 293688.00 306156.00 295179.00 297
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 275533.67 277293.33 282376.00 298318.00 2911461.00 30896.00 304835.00 294290.00 294804.00 29197.00 289383.00 293688.00 306156.00 295179.00 297
testing222430.52 268487.50 272259.56 277379.87 301282.69 2871138.34 29781.30 295880.86 296281.58 290834.27 296135.83 304333.22 282514.90 285140.56 292162.76 289
ADS-MVSNet2443.33 271482.84 270324.79 293434.94 314387.73 3061110.57 29487.69 299887.02 297282.92 291779.29 28698.57 291422.76 301502.40 277162.19 303163.87 290
ADS-MVSNet443.33 271482.84 270324.79 293434.94 314387.73 3061110.57 29487.69 299887.02 297282.92 291779.29 28698.57 291422.76 301502.40 277162.19 303163.87 290
ETVMVS443.50 273498.07 274279.78 280378.05 300321.57 2951163.68 29987.12 298897.50 299269.81 288822.83 295141.20 307334.53 283568.21 291154.21 293183.26 299
MASt3R-SfM432.55 269498.24 275235.48 266246.34 272235.93 2761447.80 30732.85 264924.84 300196.39 272881.24 30033.31 254367.13 289643.29 30078.11 265103.39 267
myMVS_eth3d28418.40 267473.07 269254.39 275261.18 275313.04 2901172.79 30074.16 291929.18 301264.68 285745.72 284139.03 306318.91 279549.18 289121.71 285131.21 273
GLUNet-SfM453.02 274518.66 276256.09 276234.58 269255.96 2821607.37 31333.24 265947.74 302191.46 271875.86 29830.56 244398.99 296672.82 30574.28 264113.32 269
testing3-2489.51 277555.88 280290.42 281362.21 294319.27 2931424.84 30688.81 301964.80 303309.62 297879.13 299174.38 316363.98 285643.82 301155.29 294188.01 301
DELS-MVS514.57 280587.73 283295.12 284343.03 290328.09 2991540.48 312116.22 316988.59 304325.44 302906.22 301119.86 300365.72 288788.60 310161.09 302191.55 304
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
tpmvs501.65 279567.42 281304.33 286395.39 306356.32 3021512.04 311216.53 344994.15 305350.16 306804.16 293119.38 299380.98 290555.14 290159.87 301175.69 295
OurMVSNet-221017-0999.00 321999.00 319999.00 342999.00 352999.00 357999.00 286999.00 406999.00 306999.00 351999.00 304999.00 397999.00 348999.00 321999.00 382999.00 379
EPMVS999.00 321999.00 319999.00 342999.00 352999.00 357999.00 286999.00 406999.00 306999.00 351999.00 304999.00 397999.00 348999.00 321999.00 382999.00 379
uanet_test1000.00 3231000.00 3211000.00 3451000.00 3551000.00 3601000.00 2891000.00 4091000.00 3081000.00 3541000.00 3071000.00 4001000.00 3511000.00 3241000.00 3851000.00 382
sosnet1000.00 3231000.00 3211000.00 3451000.00 3551000.00 3601000.00 2891000.00 4091000.00 3081000.00 3541000.00 3071000.00 4001000.00 3511000.00 3241000.00 3851000.00 382
USDC1000.00 3231000.00 3211000.00 3451000.00 3551000.00 3601000.00 2891000.00 4091000.00 3081000.00 3541000.00 3071000.00 4001000.00 3511000.00 3241000.00 3851000.00 382
TinyColmap1000.00 3231000.00 3211000.00 3451000.00 3551000.00 3601000.00 2891000.00 4091000.00 3081000.00 3541000.00 3071000.00 4001000.00 3511000.00 3241000.00 3851000.00 382
PatchmatchNetpermissive492.52 278551.22 279316.40 291400.20 308357.90 3031277.10 304115.80 3151034.60 312315.90 298874.00 297155.10 310402.20 298629.50 297158.80 299189.10 302
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
ACMH+729.97 2661.38 291754.00 293383.51 297368.96 296376.38 3042483.74 33682.42 2961089.25 313333.39 3041219.68 31966.53 281573.60 321957.86 319184.14 310200.56 307
IterMVS615.05 287691.66 290385.23 298516.40 318454.80 3161863.80 317102.10 3121142.20 314364.10 3081093.20 315135.00 303480.40 306826.90 311181.20 308220.50 309
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
ArgMatch-SfM559.81 282646.64 288299.29 285273.31 277302.88 2891966.31 31932.78 2631178.38 315242.47 2811172.35 31831.59 252476.65 304841.50 31381.11 268118.35 271
IB-MVS872.44 4616.41 288700.96 291362.78 296426.10 313409.25 3091822.69 316124.42 3271186.23 316366.85 3091079.42 313190.60 328451.78 303930.72 317181.59 309227.30 310
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
Gipumacopyleft689.75 294767.00 294458.00 312613.00 330549.00 3331943.00 318187.00 3411230.00 317518.00 3261092.00 314203.00 334564.00 313892.00 315225.00 324261.00 318
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PDCNetPlus580.74 283670.05 289312.81 290293.01 282325.34 2962012.58 32140.24 2731291.32 318244.73 2821126.48 31740.08 265476.71 305892.02 31690.03 271136.37 280
JIA-IIPM804.30 309835.64 300710.26 336885.90 347895.90 355455.98 251668.73 3951297.17 3191002.26 3581001.67 311655.98 382756.98 336667.90 302885.21 375477.90 341
Patchmtry1090.75 3291198.88 331766.38 3401290.90 362485.90 3182423.98 3341267.30 4131297.17 319923.90 348923.40 3021215.54 405990.23 346667.90 302779.80 363823.02 361
RPMNet787.26 308829.13 299661.63 331885.90 347895.90 355455.98 251610.10 3901297.17 3191002.26 3581001.67 311655.98 382611.10 325667.90 302885.21 375477.90 341
ArgMatch-Sym628.95 289725.61 292338.98 295319.80 286348.01 3002161.93 32234.42 2661349.94 322274.47 2891311.17 32135.52 255536.43 311953.83 31889.37 270132.49 276
IterMVS-LS758.94 297856.56 301466.10 313606.60 323546.80 3312309.90 325122.20 3261402.80 323463.50 3161348.20 322192.60 329574.60 3221028.60 329234.60 326276.90 320
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
SixPastTwentyTwo773.62 299869.37 304486.35 316603.45 322547.15 3322532.14 338106.92 3141434.95 324428.08 3131360.56 323165.15 314628.96 327984.09 320209.01 316282.94 321
new-patchmatchnet766.12 298859.03 302487.38 317595.68 320536.14 3222346.27 326142.51 3321488.08 325422.43 3121361.32 324163.65 313628.60 3261003.74 328207.61 315297.41 324
mvs_anonymous774.90 300882.28 306452.77 305636.50 332537.20 3232348.80 327120.30 3191504.30 326474.40 3171371.10 325186.90 319564.70 3141078.90 332219.30 317256.40 311
casdiffmvspermissive774.90 300882.28 306452.77 305636.50 332537.20 3232348.80 327120.30 3191504.30 326474.40 3171371.10 325186.90 319564.70 3141078.90 332219.30 317256.40 311
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 300882.28 306452.77 305636.50 332537.20 3232348.80 327120.30 3191504.30 326474.40 3171371.10 325186.90 319564.70 3141078.90 332219.30 317256.40 311
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 300882.28 306452.77 305636.50 332537.20 3232348.80 327120.30 3191504.30 326474.40 3171371.10 325186.90 319564.70 3141078.90 332219.30 317256.40 311
baseline1774.90 300882.28 306452.77 305636.50 332537.20 3232348.80 327120.30 3191504.30 326474.40 3171371.10 325186.90 319564.70 3141078.90 332219.30 317256.40 311
casdiffmvs_mvgpermissive774.90 300882.28 306452.77 305636.50 332537.20 3232348.80 327120.30 3191504.30 326474.40 3171371.10 325186.90 319564.70 3141078.90 332219.30 317256.40 311
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 300882.28 306452.77 305636.50 332537.20 3232348.80 327120.30 3191504.30 326474.40 3171371.10 325186.90 319564.70 3141078.90 332219.30 317256.40 311
K. test v3877.74 315980.16 318570.46 3241316.85 364813.15 3502565.52 339103.78 3131509.49 333548.33 3281258.90 320219.93 339587.82 3231102.37 340196.30 312310.42 326
DenseAffine716.23 295826.00 298386.90 299338.46 289383.55 3052528.22 33739.18 2671519.44 334321.65 3011502.70 33538.50 260629.37 3281046.88 33099.01 274147.77 284
PVSNet1207.94 6829.56 313937.18 314506.69 318645.55 339585.72 3342477.98 335130.52 3281578.29 335509.50 3251460.01 332194.90 330637.19 3291170.78 341267.07 330297.17 323
ACMH993.80 5967.92 3191106.11 329553.33 320494.00 316534.00 3213581.00 349136.00 3291585.00 336478.00 3241871.00 34690.00 284839.00 3391460.00 348260.00 327287.00 322
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PMVScopyleft863.65 3957.08 3181054.11 327666.00 333401.00 309495.00 3193790.00 351279.00 3461607.00 337521.00 3271745.00 34390.00 2841105.00 357639.00 299415.00 342398.00 338
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
DKM753.27 296870.09 305402.84 300361.88 293411.34 3102666.28 34143.92 2761620.97 338327.84 3031561.61 33842.38 266642.06 3301096.20 339109.69 276155.12 288
PMatch-SfM784.39 307906.45 313418.23 302363.55 295413.41 3112750.56 34342.96 2751663.64 339341.27 3051653.81 33942.46 267676.23 3321182.18 342117.60 282165.06 293
MVSTER890.06 3171005.91 325542.52 319736.13 344653.90 3422616.56 340145.22 3341692.10 340555.69 3321554.72 337266.25 341660.02 3311219.66 345266.84 329313.64 327
PMatch-Up-SfM815.39 310940.33 315440.56 303382.27 302431.17 3142810.50 34446.03 2791754.44 341360.71 3071728.19 34144.08 268722.27 3341214.00 343122.78 286168.24 294
RoMa-SfM821.88 311947.65 316444.57 304404.53 310436.79 3152814.72 34548.36 2801757.60 342367.99 3101743.22 34250.35 274719.59 3331218.12 344123.95 287177.32 296
WBMVS655.88 290770.84 295310.98 289391.79 305353.00 3012280.68 32499.17 3111776.79 343301.20 2961123.23 316187.34 326390.28 295620.39 295156.98 297189.66 303
CSCG826.03 312963.29 317414.24 301421.52 311426.11 3122230.35 323179.52 3401827.44 344733.43 346933.12 303281.25 342545.23 3121800.35 355262.64 328271.38 319
ACMP1246.57 71086.24 3281235.17 332639.45 328596.53 321639.91 3403904.24 352152.04 3351851.54 345566.58 3331997.95 348138.50 305938.30 3441605.46 351303.70 336340.14 329
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM1311.08 81165.06 3321332.72 335662.07 332584.90 319715.99 3454373.59 356153.99 3371880.27 346709.02 3432316.97 351188.63 327939.89 3451484.30 349302.78 335330.34 328
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MG-MVS1256.50 3341432.00 337730.00 337610.00 324760.00 3474720.00 357169.00 3381920.00 347723.00 3452510.00 357201.00 3321050.00 3551645.00 353390.00 340380.00 335
DKM-HiRes889.49 3161027.58 326475.22 314423.85 312483.27 3173121.07 34652.45 2821928.03 348389.91 3111854.07 34550.60 275758.69 3371297.31 347130.95 288183.70 300
SSC-MVS3.2667.82 292787.71 296308.16 287385.94 303327.65 2971718.51 314117.00 3171942.46 349317.12 2991488.73 333183.89 317404.82 299763.70 308172.02 306192.01 305
UBG667.82 292787.71 296308.16 287385.94 303327.65 2971718.51 314117.00 3171942.46 349317.12 2991488.73 333183.89 317404.82 299763.70 308172.02 306192.01 305
test_04021110.00 3301260.00 333660.00 330900.00 350780.00 3493300.00 347210.00 3432040.00 351690.00 3411950.00 347300.00 345810.00 3381620.00 352330.00 337390.00 337
PVSNet_01661.03 9968.54 3201066.82 328673.70 334706.94 342695.69 3432669.02 342153.52 3362108.17 352605.54 3341679.14 340213.26 338886.75 3421236.76 346229.01 325438.67 340
MVS_111021_LR1136.45 3311298.72 334649.64 329756.17 345726.26 3463785.94 350138.15 3312190.64 353629.63 3392064.39 349165.45 315874.83 3411678.43 354279.70 331347.82 332
RoMa-HiRes1034.45 3271193.62 330556.95 321500.36 317544.88 3303519.53 34861.60 2832201.60 354461.12 3152254.28 35060.98 278906.83 3431523.88 350159.21 300219.15 308
MSLP-MVS++1242.93 3331411.08 336738.48 338712.71 343712.68 3444168.17 354136.50 3302276.40 355613.28 3382368.60 354161.61 3121130.38 3581964.54 358297.88 333372.39 334
DeepC-MVS_fast2190.19 121535.59 3381886.82 342481.89 315847.73 346830.16 3517943.84 376189.23 3422398.83 356691.73 3422341.13 352209.16 336230.25 2671999.25 359360.46 338385.25 336
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
OpenMVS_ROBcopyleft1936.51 101959.51 3412224.88 3451163.39 3521253.91 3611434.22 3687065.71 366272.76 3452472.29 3571647.54 3903538.72 363200.37 3311496.48 3622575.17 364997.45 381559.48 343
ACMMPR1296.60 3351480.82 338743.96 339899.25 349763.47 3484305.47 355143.90 3332530.94 358683.99 3402346.34 353201.65 3331098.25 3561920.59 357295.21 332370.16 333
TSAR-MVS + GP.1386.84 3361622.84 340678.81 335952.13 351840.17 3525358.21 360170.75 3392650.47 359713.54 3442394.28 355209.42 337855.56 3401854.36 356302.42 334340.71 330
COLMAP_ROBcopyleft2144.59 111658.33 3391869.33 3411025.33 3491030.00 3591023.00 3645311.00 359359.00 3553044.00 360937.00 3502892.00 358332.00 3491440.00 3612312.00 361607.00 345613.00 346
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
TestfortrainingZip3151.39 3943151.39 4093151.39 41321344.80 4103151.39 4183151.39 3613151.39 4083151.39 3603151.39 4123151.39 4023151.39 4103151.39 408
FPMVS1407.00 3371495.59 3391141.23 350648.01 340893.85 3544124.00 353503.81 3803219.04 362742.72 3472498.84 356157.98 3111727.83 364832.93 312732.98 362802.00 356
CMPMVSbinary2623.62 151983.08 3422156.14 3441463.89 3631414.80 3661517.00 3705239.20 358867.40 4003310.30 3631128.70 3623489.90 362366.75 3542030.20 3752427.60 3621160.60 394844.46 364
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
F-COLMAP1878.17 3402113.11 3431173.33 3531231.00 3601174.00 3656297.00 362392.00 3603356.00 3641087.00 3603082.00 359361.00 3531670.00 3632523.00 363689.00 352676.00 351
OpenMVScopyleft2352.88 132263.08 3452530.89 3481459.67 3621767.00 3771591.00 3737932.00 375399.00 3613643.00 3651176.00 3633569.00 364297.00 3441927.00 3713302.00 369693.00 357861.00 365
ZD-MVS1584.00 3671821.00 390378.00 3583721.00 3661231.00 3651833.00 344321.00 3481224.00 3592103.00 360692.00 356
MVS-HIRNet2125.39 3432452.68 3461143.53 3512938.33 4071446.92 3696083.19 361391.74 3593801.71 3671202.10 3643439.72 361492.73 3631304.35 3603048.25 368676.32 351679.32 352
PLCcopyleft2858.82 162192.92 3442474.00 3471349.67 3551407.00 3651356.00 3677164.00 367475.00 3733970.00 3681237.00 3673765.00 366451.00 3601891.00 3693006.00 367791.00 368802.00 356
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
PCF-MVS4335.85 202272.23 3462597.03 3491297.84 3541701.20 3691332.37 3668105.11 377451.45 3694031.84 3691099.10 3613966.50 367467.45 3611734.05 3652701.68 366848.94 372827.11 362
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
EGC-MVSNET2819.75 3563096.89 3591988.33 3773105.00 4082241.00 3989480.00 387640.00 3944209.00 3701583.00 3834740.00 375547.00 3692797.00 3912644.00 365924.00 378927.00 372
CHOSEN 280x4202340.81 3472643.03 3501434.14 3562025.55 3861629.36 3776542.40 363412.49 3634219.70 3711547.02 3784328.52 369650.74 3791798.26 3663333.17 370727.72 359874.79 366
CHOSEN 1792x26882340.81 3472643.03 3501434.14 3562025.55 3861629.36 3776542.40 363412.49 3634219.70 3711547.02 3784328.52 369650.74 3791798.26 3663333.17 370727.72 359874.79 366
HyFIR lowres test2340.81 3472643.03 3501434.14 3562025.55 3861629.36 3776542.40 363412.49 3634219.70 3711547.02 3784328.52 369650.74 3791798.26 3663333.17 370727.72 359874.79 366
3Dnovator2482.06 142531.17 3502839.56 3531606.00 3641732.00 3731557.00 3728375.00 379483.00 3744370.00 3741371.00 3734200.00 368350.00 3512207.00 3763877.00 376798.00 3691054.00 386
tpmrst2557.50 3512847.12 3541688.66 3671784.08 3781778.25 3877445.50 373342.14 3524471.54 3751534.55 3774382.10 372530.10 3672361.21 3794142.81 380991.22 380926.51 371
DeepPCF-MVS3452.42 182670.71 3543021.57 3561618.12 3652377.67 3931751.39 3868915.70 382567.44 3884569.74 3761236.84 3664615.63 373513.23 3642291.32 3773515.48 373882.39 374811.66 358
DeepC-MVS3917.13 193155.06 3603601.83 3631814.72 3732515.52 3961941.53 39110432.50 397589.42 3894789.45 3771298.65 3697677.31 398578.35 3712589.53 3833611.78 375923.52 377913.10 370
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
AdaColmapbinary2570.77 3522948.61 3551437.24 3591873.64 3791526.60 3717819.77 374373.97 3564970.45 3781479.29 3754648.46 374525.80 3661904.97 3704150.42 381695.69 358880.14 369
LF4IMVS2699.50 3553049.67 3571649.00 3661755.00 3741689.00 3818330.00 378464.00 3714997.00 3791528.00 3764763.00 376568.00 3702296.00 3784215.00 382827.00 371962.00 376
test_0728_THIRD5016.02 3801363.85 3704894.28 377387.23 3552023.43 3723973.88 377620.04 348732.56 353
test07261725.60 3701598.35 3749203.30 383315.86 3495016.02 3801363.85 3704894.28 377387.23 355
SD-MVS2654.53 3533055.56 3581451.45 3601725.60 3701598.35 3749203.30 383315.86 3495016.02 3801363.85 3704894.28 377387.23 3552023.43 3723973.88 377620.04 348732.56 353
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
SteuartSystems-ACMMP2891.50 3583284.78 3611711.67 3681954.00 3801655.00 38010117.00 396445.00 3685102.00 3831375.00 3745126.00 381351.00 3522638.00 3894402.00 384691.00 355842.00 363
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 3593537.00 3621975.67 3752310.00 3912005.00 39510100.00 395626.00 3935753.00 3841803.00 3935179.00 382487.00 3622622.00 3874550.00 3851025.00 3891300.00 393
ITE_SJBPF2014.00 3791998.00 3811992.00 394701.00 3965989.00 3851812.00 3943612.00 365650.00 3782852.00 3924601.00 3861195.00 3951198.00 392
tpm23617.85 3654007.23 3672449.73 3852012.71 3821698.05 3827351.19 369869.29 4016132.06 3861588.28 3848007.42 4011281.09 4063888.11 4067472.04 4061351.00 3961763.02 402
tpm cat13617.85 3654007.23 3672449.73 3852012.71 3821698.05 3827351.19 369869.29 4016132.06 3861588.28 3848007.42 4011281.09 4063888.11 4067472.04 4061351.00 3961763.02 402
CostFormer3617.85 3654007.23 3672449.73 3852012.71 3821698.05 3827351.19 369869.29 4016132.06 3861588.28 3848007.42 4011281.09 4063888.11 4067472.04 4061351.00 3961763.02 402
tpm3617.85 3654007.23 3672449.73 3852012.71 3821698.05 3827351.19 369869.29 4016132.06 3861588.28 3848007.42 4011281.09 4063888.11 4067472.04 4061351.00 3961763.02 402
TAPA-MVS6309.84 213374.90 3633806.99 3662078.63 3802535.47 3972499.25 4068816.16 381456.05 3706255.60 3901664.52 3916704.88 388629.95 3772768.38 3906343.93 402856.35 373968.25 377
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
DPM-MVS3268.00 3613762.89 3641783.33 3711756.00 3751806.00 38812319.00 399307.00 3476319.00 3911557.00 3815763.00 383302.00 3462609.00 3855061.00 388482.00 343935.00 373
OPM-MVS3268.00 3613762.89 3641783.33 3711756.00 3751806.00 38812319.00 399307.00 3476319.00 3911557.00 3815763.00 383302.00 3462609.00 3855061.00 388482.00 343935.00 373
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
Vis-MVSNetpermissive2877.42 3573170.00 3601999.67 3781673.00 3682042.00 3968593.00 380474.00 3726452.00 3931268.00 3685125.00 380339.00 3503004.00 3934222.00 383384.00 339953.00 375
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS_111021_HR3742.80 3694330.34 3721980.20 3762484.31 3952259.52 39914973.80 406515.90 3876500.13 3941949.21 3956146.89 385535.66 3682593.66 3844880.76 387986.37 3791087.43 387
API-MVS4380.83 3764906.56 3782803.67 3923844.00 4113116.00 41213454.00 402901.00 4056511.00 3952794.00 4067365.00 394754.00 3883634.00 4046622.00 4031914.00 4071661.00 397
MAR-MVS3973.16 3704387.92 3732728.86 3913345.27 4103341.39 41411403.90 398798.76 3986555.62 3962569.29 4056514.86 387834.97 3913237.43 4035891.08 3931577.54 4011607.76 394
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
TSAR-MVS + MP.3528.01 3644065.89 3711914.35 3742349.10 3922141.30 39712362.70 401417.60 3676717.80 3971759.40 3926497.50 386518.18 3652629.38 3885164.32 390806.40 370972.38 378
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
IU-MVS2725.60 4032598.35 407515.86 3837016.02 3982363.85 4005973.88 3941620.04 4021732.56 398
test_241102_TWO515.86 3837016.02 3982363.85 4006894.28 389887.23 3923023.43 3945973.88 3941620.04 4021732.56 398
test_241102_ONE2725.60 4032598.35 407515.86 3837016.02 3982363.85 4006894.28 389887.23 3923023.43 394
MSP-MVS4296.20 3754911.12 3792451.45 3892725.60 4032598.35 40716203.30 407515.86 3837016.02 3982363.85 4006894.28 389887.23 3923023.43 3945973.88 3941620.04 4021732.56 398
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
DVP-MVS++3981.10 3714731.32 3761730.42 3692191.51 3891949.98 39216473.90 408355.33 3537172.90 4021622.98 3887879.79 399434.33 3582428.11 3815762.12 391689.04 353813.18 359
DVP-MVScopyleft3981.10 3714731.32 3761730.42 3692191.51 3891949.98 39216473.90 408355.33 3537172.90 4021622.98 3887879.79 399434.33 3582428.11 3815762.12 391689.04 353813.18 359
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
GST-MVS4000.00 3734533.33 3742400.00 3842400.00 3942400.00 4007200.00 3682400.00 4177200.00 4042400.00 4047200.00 3932400.00 4102400.00 3807200.00 4042400.00 4082400.00 407
FOURS12643.17 3982465.14 40113996.40 403493.26 3757619.38 4052107.24 396
PC_three_14527619.38 4052107.24 3967416.93 395610.24 3743088.29 3986075.14 3981078.39 3901159.26 388
test_one_06012643.17 3982465.14 401493.26 3757619.38 4052107.24 3967416.93 395610.24 374
SED-MVS4062.74 3744671.13 3752237.56 3812643.17 3982465.14 40113996.40 403493.26 3757619.38 4052107.24 3967416.93 395610.24 3743088.29 3986075.14 3981078.39 3901159.26 388
OMC-MVS5022.26 3775748.82 3802842.58 3934905.27 4133101.27 41114933.60 405812.24 3999278.40 4092959.29 4078800.17 4051092.24 4043806.30 4057568.54 4101389.60 4001620.18 396
ZNCC-MVS9999.00 3809999.00 3839999.00 3989999.00 4179999.00 4199999.00 3889999.00 4229999.00 4109999.00 4139999.00 4069999.00 4149999.00 4129999.00 4119999.00 4139999.00 411
patch_mono-210000.00 38110000.00 38410000.00 39910000.00 41810000.00 42010000.00 38910000.00 42310000.00 41110000.00 41410000.00 40710000.00 41510000.00 41310000.00 41210000.00 41410000.00 412
dcpmvs_210000.00 38110000.00 38410000.00 39910000.00 41810000.00 42010000.00 38910000.00 42310000.00 41110000.00 41410000.00 40710000.00 41510000.00 41310000.00 41210000.00 41410000.00 412
DCPMVS10000.00 38110000.00 38410000.00 39910000.00 41810000.00 42010000.00 38910000.00 42310000.00 41110000.00 41410000.00 40710000.00 41510000.00 41310000.00 41210000.00 41410000.00 412
UA-Net10000.00 38110000.00 38410000.00 39910000.00 41810000.00 42010000.00 38910000.00 42310000.00 41110000.00 41410000.00 40710000.00 41510000.00 41310000.00 41210000.00 41410000.00 412
uncertanet10000.00 38110000.00 38410000.00 39910000.00 41810000.00 42010000.00 38910000.00 42310000.00 41110000.00 41410000.00 40710000.00 41510000.00 41310000.00 41210000.00 41410000.00 412
uanet10000.00 38110000.00 38410000.00 39910000.00 41810000.00 42010000.00 38910000.00 42310000.00 41110000.00 41410000.00 40710000.00 41510000.00 41310000.00 41210000.00 41410000.00 412
MVEpermissive10021.00 2210550.67 38710002.44 39012195.33 4056242.00 4158768.00 41830896.00 4164451.00 41910331.00 4176247.00 41118296.00 415283.00 34321484.00 4207364.00 4055912.00 4126334.00 410
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
LS3D7684.71 3798776.23 3824410.16 3965298.55 4145631.53 41634329.90 4171504.57 41511554.00 4183896.41 40915111.00 414812.19 3895985.63 4113516.20 3742963.23 4091613.31 395
CLD-MVS7338.25 3788341.00 3814330.00 3954902.00 4124991.00 41523318.00 415728.00 39714437.00 4194378.00 41013379.00 413824.00 3905708.00 41011429.00 4191674.00 4062291.00 406
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
CNLPA10738.67 38811772.44 3917637.33 3979120.00 4168206.00 41722252.00 4142010.00 41624984.00 4207458.00 41222596.00 4162940.00 41110260.00 41911100.00 4183492.00 4114446.00 409
LTVRE_ROB20565.47 2323378.08 38922805.00 39225097.33 40615500.00 42419201.00 42642712.00 4186055.00 42038388.00 42116926.00 42038534.00 4177071.00 41335653.00 42129475.00 42010584.00 42020438.00 419
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 39034443.44 39327094.33 40729249.00 42525246.00 42751144.00 4196705.00 42142886.00 42222888.00 42148534.00 41813263.00 42137507.00 42279298.00 42116024.00 42118530.00 418
114514_t99999.00 39199999.00 39499999.00 40899999.00 42699999.00 42899999.00 42099999.00 42999999.00 42399999.00 42299999.00 41999999.00 42299999.00 42399999.00 42299999.00 42299999.00 420
PHI-MVS99999.00 39199999.00 39499999.00 40899999.00 42699999.00 42899999.00 42099999.00 42999999.00 42399999.00 42299999.00 41999999.00 42299999.00 42399999.00 42299999.00 42299999.00 420
XVG-OURS-SEG-HR999999.00 395999999.00 396999999.00 410999999.00 429999999.00 431999999.00 422999999.00 432999999.00 425999999.00 425999999.00 421999999.00 425999999.00 426999999.00 425999999.00 426999999.00 422
XVG-OURS999999.00 395999999.00 396999999.00 410999999.00 429999999.00 431999999.00 422999999.00 432999999.00 425999999.00 425999999.00 421999999.00 425999999.00 426999999.00 425999999.00 426999999.00 422
XVG-ACMP-BASELINE999999.00 395999999.00 396999999.00 410999999.00 429999999.00 431999999.00 422999999.00 432999999.00 425999999.00 425999999.00 421999999.00 425999999.00 426999999.00 425999999.00 426999999.00 422
PRO-TEST10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
aaatest10000000.00 41310000000.00 43210000000.00 43421344.80 41010000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42910000000.00 42810000000.00 42910000000.00 425
MED-MVS8343445.32 3987791260.42 40110000000.00 41310000000.00 43210000000.00 43421344.80 41010000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42899999.00 42210000000.00 425
TestfortrainingZip a9168445.40 3998891260.53 40210000000.00 41310000000.00 43210000000.00 43421344.80 41010000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
mamba_040810000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
icg_test_0407_210000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
SSM_0407210000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
SSM_040710000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
IMVS_040710000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
IMVS_040410000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
SSM_040410000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
IMVS_040310000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
SD_040310000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
aaEdge-Enhanced10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
NormalMVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
lecture10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
SymmetryMVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
Elysia10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
StellarMVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
KinetiMVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
LuminaMVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
VortexMVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
AstraMVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
guyue10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
sc_t110000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
tt0320-xc10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
tt032010000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
MVSMamba_PlusPlus10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
MGCFI-Net10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
sasdasda10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
dmvs_re10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
SDMVSNet10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
dmvs_testset10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
sd_testset10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
BridgeMVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
MonoMVSNet10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
test250610000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
test111110000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
ECVR-MVScopyleft10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
test_blank10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
tt080510000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
Anonymous2024052110000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
cl2210000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
miper_ehance_all_eth10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
miper_enhance_ethall10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
cl____10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
DIV-MVS_self_test10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
eth_miper_zixun_eth10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
ET-MVSNet_ETH3D10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
UniMVSNet_ETH3D10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
miper_lstm_enhance10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
D2MVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
test_yl10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
thisisatest053010000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
Anonymous2024052910000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
Anonymous20240521110000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
DCV-MVSNet10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
tttt051710000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
our_test_310000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
thisisatest051510000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
ppachtmachnet_test10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
SMA-MVScopyleft10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
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 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
tfpnnormal10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
tfpn200view910000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
c3_l10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
IterMVS-SCA-FT10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
pmmvs610000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
pmmvs510000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
Anonymous2023121110000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
pmmvs-eth3d10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
Anonymous2023120610000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
SCA10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
Patchmatch-test10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
Patchmatch-RL test10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
canonicalmvs10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
anonymousdsp10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
FIs10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
FC-MVSNet-test10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
sosnet-low-res10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
AllTest10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
TestCases10000000.00 41310000000.00 43210000000.00 43410000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
RRT-MVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
balanced_ft_v110000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
HPM-MVS++copyleft10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
XVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
pm-mvs110000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
X-MVStestdata10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
APDe-MVScopyleft10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
pmmvs410000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
test-LLR10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
TESTMET0.1,110000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
test-mter10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
testgi10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
test20.0310000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
thres600view710000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
MP-MVScopyleft10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
thres40010000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
test12310000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
thres20010000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
test0.0.03 110000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
pmmvs310000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
EMVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
E-PMN10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
PGM-MVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
MCST-MVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
MVS_Test10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
PMMVS210000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
PM-MVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
HQP_MVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
plane_prior310000000.00 43410000000.00 42810000000.00 428
plane_prior210000000.00 42510000000.00 428
mPP-MVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
mvsmamba10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
HPM-MVS_fast10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
HPM-MVScopyleft10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
LGP-MVS_train10000000.00 41310000000.00 43210000000.00 43410000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
EPNet_dtu10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP-NCC10000000.00 43210000000.00 42510000000.00 42810000000.00 428
ACMP_Plane10000000.00 43210000000.00 42510000000.00 42810000000.00 428
CNVR-MVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
NCCC10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
CP-MVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
CPTT-MVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
HQP-MVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
IS-MVSNet10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
PAPM_NR10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
PAPR10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
Vis-MVSNet (Re-imp)10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
PatchMatch-RL10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
TDRefinement10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
EPP-MVSNet10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
PMMVS10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
PAPM10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
ACMMPcopyleft10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
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 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
wuyk23d10000000.00 40010000000.00 40310000000.00 41310000000.00 43210000000.00 43410000000.00 42510000000.00 43510000000.00 42810000000.00 42810000000.00 42410000000.00 42810000000.00 42910000000.00 42810000000.00 42910000000.00 425
APD-MVScopyleft1000000000.00 5331000000000.00 5361000000000.00 5511000000000.00 5781000000000.00 5781000000000.00 5631000000000.00 5781000000000.00 5701000000000.00 5711000000000.00 5671000000000.00 5721000000000.00 5721000000000.00 5701000000000.00 5701000000000.00 567
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
PatchmatchNet1copyleft400.00 268400.00 341400.00 339
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
PatchmatchNet3copyleft400.00 297
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
test-26052499999.00 42699999.00 42899999.00 42999999.00 42299999.00 42299999.00 42399999.00 42299999.00 422
WAC-MVS248.46 279422.23 271
MSC_two_6792asdad2237.56 3812643.17 3982465.14 401493.26 3753088.29 3986075.14 3981078.39 3901159.26 388
No_MVS2237.56 3812643.17 3982465.14 401493.26 3753088.29 3986075.14 3981078.39 3901159.26 388
eth-test21.42 140
eth-test10000000.00 432
OPU-MVS2451.45 3892725.60 4032598.35 4079203.30 3836894.28 389887.23 3923023.43 3945973.88 3941620.04 4021732.56 398
test_0728_SECOND1451.45 3601725.60 3701598.35 3749203.30 383315.86 3492023.43 3723973.88 377620.04 348732.56 353
GSMVS10000000.00 425
test_part210000000.00 43210000000.00 43410000000.00 428
sam_mvs110000000.00 42810000000.00 425
sam_mvs10000000.00 428
ambc999.00 342999.00 352999.00 357999.00 286999.00 406999.00 351999.00 304999.00 397999.00 348999.00 321999.00 382999.00 379
MTGPAbinary10000000.00 435
test_post110000000.00 42510000000.00 42410000000.00 42810000000.00 42910000000.00 428
test_post10000000.00 42410000000.00 42810000000.00 429
patchmatchnet-post10000000.00 42410000000.00 42810000000.00 429
GG-mvs-BLEND596.01 325611.29 327600.33 335790.30 271513.12 381552.71 329567.40 266662.54 384531.67 307503.93 279779.80 363656.02 347
MTMP10000000.00 42510000000.00 435
test9_res0.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
agg_prior0.00 10.00 10.00 10.00 10.00 1
test_prior40.00 10.00 1
test_prior0.00 10.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
旧先验10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM20.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
test120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
plane_prior710000000.00 43210000000.00 434
plane_prior610000000.00 43210000000.00 43410000000.00 428
plane_prior510000000.00 43510000000.00 42910000000.00 42810000000.00 42910000000.00 425
plane_prior410000000.00 424
plane_prior110000000.00 432
n214.20 231
nn1.42 142
door-mid1.42 142
lessismore_v0569.20 323667.25 341644.68 34196.45 306428.86 3141514.17 336204.21 335756.58 3351061.60 331197.79 313306.34 325
test111.00 135
door99.00 310
HQP5-MVS10000000.00 434
BP-MVS10000000.00 428
HQP4-MVS10000000.00 42810000000.00 42910000000.00 425
HQP3-MVS10000000.00 43510000000.00 429
HQP2-MVS10000000.00 428
NP-MVS10000000.00 43210000000.00 43410000000.00 424
ACMMP++_ref10000000.00 429
ACMMP++10000000.00 429
Test By Simon990.00 396