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 bysort bysorted 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
MGCNet0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
train_agg0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
agg_prior0.00 10.00 10.00 10.00 10.00 1
HFP-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
region2R0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_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
原ACMM10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test2220.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
13140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
QAPM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
h-mvs330.30 920.30 930.30 970.30 1040.30 1040.30 1040.30 1050.30 1040.30 1030.30 1010.30 1030.30 1040.30 1020.30 1020.30 102
hse-mvs20.30 920.30 930.30 970.30 1040.30 1040.30 1040.30 1050.30 1040.30 1030.30 1010.30 1030.30 1040.30 1020.30 1020.30 102
CL-MVSNet_self_test0.30 920.30 930.30 970.30 1040.30 1040.30 1040.30 1050.30 1040.30 1030.30 1010.30 1030.30 1040.30 1020.30 1020.30 102
AUN-MVS0.30 920.30 930.30 970.30 1040.30 1040.30 1040.30 1050.30 1040.30 1030.30 1010.30 1030.30 1040.30 1020.30 1020.30 102
LCM-MVSNet0.37 960.36 970.37 1010.37 1080.37 1080.37 1080.32 1090.37 1080.37 1070.37 1050.37 1070.37 1080.37 1060.37 1060.37 106
v1441920.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v19219200.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v11920.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v11440.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v1480.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v7n0.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v12400.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v80.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v100.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v2v4820.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
V420.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
GA-MVS0.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
Fast-Effi-MVS+0.41 1090.40 980.41 1140.41 1210.41 1210.41 1210.35 1100.41 1210.41 1200.41 1180.41 1200.41 1210.41 1190.41 1190.41 119
Fast-Effi-MVS+-dtu0.44 1100.44 1110.44 1150.44 1220.44 1220.44 1220.44 1230.44 1220.44 1210.44 1190.44 1210.44 1220.44 1200.44 1200.44 120
Effi-MVS+-dtu0.59 1120.61 1140.53 1160.68 1300.53 1230.53 1230.68 1310.68 1300.53 1220.53 1200.68 1290.53 1230.68 1280.53 1210.53 121
KD-MVS_self_test0.60 1130.60 1130.60 1170.60 1240.60 1240.60 1250.60 1250.60 1240.60 1230.60 1210.60 1230.60 1240.60 1210.60 1230.60 122
EIA-MVS0.62 1140.62 1150.62 1180.62 1250.62 1250.62 1260.62 1260.62 1250.62 1240.62 1220.62 1240.62 1250.62 1220.62 1240.62 123
ETV-MVS0.62 1140.62 1150.62 1180.62 1250.62 1250.62 1260.62 1260.62 1250.62 1240.62 1220.62 1240.62 1250.62 1220.62 1240.62 123
CS-MVS0.62 1140.62 1150.62 1180.62 1250.62 1250.62 1260.62 1260.62 1250.62 1240.62 1220.62 1240.62 1250.62 1220.62 1240.62 123
SPE-MVS-test0.62 1140.62 1150.62 1180.62 1250.62 1250.62 1260.62 1260.62 1250.62 1240.62 1220.62 1240.62 1250.62 1220.62 1240.62 123
Effi-MVS+0.58 1110.56 1120.62 1180.53 1230.62 1250.53 1230.53 1240.53 1230.62 1240.62 1220.53 1220.62 1250.62 1220.53 1210.62 123
EC-MVSNet0.62 1140.62 1150.62 1180.62 1250.62 1250.62 1260.62 1260.62 1250.62 1240.62 1220.62 1240.62 1250.62 1220.62 1240.62 123
CDS-MVSNet0.88 1190.88 1200.88 1240.88 1310.88 1310.88 1310.88 1320.88 1310.88 1300.88 1280.88 1300.88 1310.88 1290.88 1290.88 129
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 1190.88 1200.88 1240.88 1310.88 1310.88 1310.88 1320.88 1310.88 1300.88 1280.88 1300.88 1310.88 1290.88 1290.88 129
LCM-MVSNet-Re0.89 1210.89 1220.89 1260.89 1330.89 1330.89 1330.89 1340.89 1330.89 1320.89 1300.89 1320.89 1330.89 1310.89 1310.89 131
DeepMVS_CXcopyleft1.00 1271.00 1341.00 1341.00 1351.00 1341.00 1331.00 1311.00 1331.00 1341.00 1321.00 1321.00 132
MDA-MVSNet-bldmvs1.20 1221.20 1231.20 1281.20 1351.20 1361.20 1341.20 1371.20 1351.20 1341.20 1321.20 1341.20 1351.20 1331.20 1331.20 133
YYNet11.20 1221.20 1231.20 1281.20 1351.20 1361.20 1341.20 1371.20 1351.20 1341.20 1321.20 1341.20 1351.20 1331.20 1331.20 133
MDA-MVSNet_test_wron1.20 1221.20 1231.20 1281.20 1351.20 1361.20 1341.20 1371.20 1351.20 1341.20 1321.20 1341.20 1351.20 1331.20 1331.20 133
KD-MVS_2432*16001.30 1251.30 1261.30 1311.30 1381.30 1391.30 1371.30 1401.30 1381.30 1371.30 1351.30 1371.30 1381.30 1361.30 1361.30 136
miper_refine_blended1.30 1251.30 1261.30 1311.30 1381.30 1391.30 1371.30 1401.30 1381.30 1371.30 1351.30 1371.30 1381.30 1361.30 1361.30 136
EI-MVSNet-UG-set1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
EI-MVSNet-Vis-set1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
EI-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
Regformer1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
CVMVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
EU-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
PS-CasMVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
UniMVSNet_NR-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
PEN-MVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
TransMVSNet (Re)1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
DTE-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
DU-MVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
UniMVSNet (Re)1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
CP-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
WR-MVS_H1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
WR-MVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
NR-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
Baseline_NR-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
TranMVSNet+NR-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
MVSFormer1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
jason1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
jason: jason.
lupinMVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
test_djsdf1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
reproduce_monomvs1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
mmtdpeth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
reproduce_model1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
reproduce-ours1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
our_new_method1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
mmdepth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
monomultidepth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
mvs5depth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
MVStest11.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
ttmdpeth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
alignmvs2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
nrg0302.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
LFMVS2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VDD-MVS2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VDDNet2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VPNet2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VNet2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VPA-MVSNet2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
cascas2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
UnsupCasMVSNet_eth5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
UnsupCasMVSNet_bld5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
WTY-MVS5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
HY-MVS5.90 15.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
sss5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
Test_1112_low_res5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
1112_ss5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
ab-mvs-re5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
ab-mvs5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
CDPH-MVS6.66 1786.66 1796.66 1846.66 1926.66 1926.66 1916.66 1986.66 1926.66 1906.66 1886.66 1926.66 1916.66 1896.66 1926.66 192
dp87.20 205113.80 2097.42 18510.50 2048.88 193298.82 2262.70 186510.35 2677.79 191172.93 2193.37 1819.16 19214.00 2033.71 1814.23 181
MDTV_nov1_ep13_2view9.99 1949.99 1929.99 1939.99 1929.99 1979.99 1909.99 193
MDTV_nov1_ep139.99 1809.99 1939.99 1949.99 1929.99 2049.99 1939.99 1929.99 1899.99 1979.99 1939.99 1909.99 194
xiu_mvs_v1_base_debu10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
xiu_mvs_v2_base10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
xiu_mvs_v1_base10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
xiu_mvs_v1_base_debi10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
cdsmvs_eth3d_5k10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
pcd_1.5k_mvsjas10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
PS-MVSNAJss10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
PS-MVSNAJ10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
jajsoiax10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
mvs_tets10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
test_method18.29 19120.89 19310.50 19615.00 20613.00 20855.00 2143.00 18734.00 20811.50 20432.50 2025.00 18213.50 20527.00 2065.00 1825.00 182
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
GeoE19.41 19222.09 19411.37 19717.21 20811.30 20650.50 2134.30 18833.60 20711.70 20644.50 2097.30 19418.90 20722.60 2057.10 1933.90 180
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
GBi-Net44.67 20049.24 20230.96 20047.53 21647.57 219126.09 2158.00 20276.99 21626.09 20873.50 21211.27 21030.55 20861.12 21412.58 20614.75 205
SIFT-UM-Cal75.41 20385.83 20544.16 21052.44 21748.43 220255.64 2227.90 201154.54 22235.49 209135.89 2167.20 19362.85 220106.86 22116.47 21021.20 209
SIFT-NCM-Cal72.17 20281.80 20443.26 20953.17 21847.34 218241.27 2197.46 199147.21 21935.86 210128.70 2158.51 19662.68 21999.13 21914.93 20819.77 207
SIFT-CM-Cal70.81 20180.73 20341.07 20853.36 21945.50 217238.80 2187.63 200146.46 21836.86 211124.25 2148.43 19557.83 21696.77 21813.98 20719.87 208
SIFT-PCN-Cal76.63 20486.39 20647.35 21186.31 23348.76 221235.08 21717.15 239145.29 21738.11 212117.96 21318.08 23464.06 22195.58 21723.97 21929.22 214
BH-w/o40.00 19440.00 19640.00 20340.00 21140.00 21040.00 20840.00 26840.00 21040.00 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 20840.00 26840.00 21040.00 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 20840.00 26840.00 21040.00 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 20840.00 26840.00 21040.00 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 21230.01 25940.17 21444.54 21747.62 21047.49 27041.26 21446.59 21232.67 23339.99 240
VLMVS_CLIP41.36 19942.10 20139.14 20239.32 21043.30 21634.99 20644.38 27640.53 21545.84 21839.32 20349.12 27241.40 21547.27 21338.10 23932.71 218
VLMVS39.38 19339.70 19538.39 20143.20 21541.62 21435.73 20739.21 26735.81 20946.46 21942.92 20831.86 25336.19 20946.03 21136.10 23537.37 236
SP-LightGlue108.97 209125.92 21458.13 21478.34 22661.59 224393.69 2409.94 203223.58 22848.33 220199.72 22310.99 20986.77 222149.09 22619.57 21126.03 210
new_pmnet88.14 20698.62 20756.70 21298.14 23856.07 222246.79 22015.37 237148.06 22050.77 221143.13 21723.35 23762.65 21793.26 21568.71 26151.38 254
N_pmnet88.14 20698.62 20756.70 21298.14 23856.07 222246.79 22015.37 237148.06 22050.77 221143.13 21723.35 23762.65 21793.26 21568.71 26151.38 254
XFeat-MNN108.16 208124.14 21360.24 21564.71 22065.64 227351.83 23711.05 216228.12 22952.43 223213.52 23213.22 21887.03 223160.49 22821.88 21528.05 212
SP-SuperGlue137.45 234159.15 23772.36 225165.77 26170.44 230521.33 25911.27 218259.68 24653.14 224215.13 23312.16 212113.72 247170.03 23023.81 21732.93 219
ALIKED-MNN111.04 213126.54 21564.54 21779.44 22872.14 231374.82 23811.60 223221.75 22753.64 225210.25 23113.20 21794.25 231152.80 22721.39 21327.22 211
SP-DiffGlue113.82 214130.70 21663.17 21667.00 22266.11 228377.48 23910.96 215236.17 23055.29 226224.34 23512.68 21594.74 232170.89 23121.50 21428.67 213
SP-NN125.71 224143.74 22771.61 22478.54 22765.10 226441.23 24711.20 217269.24 24955.66 227233.01 23712.24 213116.45 250171.30 23221.23 21233.27 221
SIFT-MNN131.73 228151.00 22973.91 226106.70 24380.02 239465.05 25313.45 227253.70 23659.23 228240.68 24215.27 223108.54 242178.34 23426.57 22433.17 220
MTAPA833442.10 3931111233.77 39967.09 21865.59 22164.81 225284.50 22310000000.00 434219.97 22659.62 229229.89 23612.72 216103.00 239203.67 25327.93 22633.46 222
XFeat-NN131.69 227151.90 23071.09 22376.28 22577.98 237462.62 25212.91 226268.06 24860.69 230251.04 24515.36 225105.71 240196.16 24023.96 21829.58 215
SIFT-ConvMatch127.90 225145.81 22874.19 22797.94 23783.95 241423.51 24512.70 225257.99 23861.47 231240.26 23814.41 219107.54 241178.90 23525.10 22131.06 216
ALIKED-LG135.42 229153.61 23280.84 23996.26 23688.69 243452.25 24913.96 229264.04 24762.14 232283.13 25115.44 226116.46 251169.14 22926.17 22337.37 236
SIFT-NN140.61 236162.76 23874.19 227102.05 24179.09 238496.97 25512.66 224286.61 25364.13 233266.77 25015.98 227109.53 243193.75 23925.88 22233.96 223
ALIKED-NN136.32 230155.63 23678.38 23889.85 23586.60 242481.11 25414.33 234272.35 25064.19 234256.34 24915.34 224112.39 246182.65 23724.52 22036.15 225
SP-MNN124.86 223143.22 22669.79 21986.07 23267.38 229447.53 24811.56 222256.60 23764.57 235215.61 23412.66 214110.32 245172.03 23322.35 21631.67 217
SIFT-NN-NCMNet145.54 237166.42 23982.90 243115.73 25692.94 244527.19 26014.03 230285.84 25265.69 236256.06 24816.30 230118.43 252188.39 23828.57 22737.34 235
MP-MVS-pluss833433.63 3921111219.60 39875.70 22974.28 22373.29 232284.50 22311.35 219238.58 23165.86 237255.35 24614.55 220115.69 24810000000.00 42731.94 23138.12 238
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 215133.18 21775.70 22974.28 22373.29 232284.50 22311.35 219238.58 23165.86 237255.35 24614.55 220115.69 248222.18 25631.94 23138.12 238
SIFT-NCMNet150.00 238171.18 24186.47 244118.16 25794.14 247498.85 25614.22 232306.48 25566.28 239288.38 25316.10 228130.24 253202.13 25230.03 22935.03 224
SIFT-UMatch151.81 240172.70 24289.15 245114.65 25496.40 251500.71 25714.32 233311.67 25667.41 240292.77 25516.23 229130.44 254208.85 25427.71 22540.60 245
SIFT-NN-CMatch150.38 239170.73 24089.34 247103.45 24293.34 245519.87 25813.80 228302.14 25468.52 241285.65 25216.39 231137.95 257198.09 24828.65 22836.72 234
CANet110.62 210124.04 21070.34 22082.03 22974.27 234325.54 22725.25 245207.16 22369.28 242194.38 22027.53 24195.79 233147.76 22337.43 23640.97 246
CANet_DTU110.62 210124.04 21070.34 22082.03 22974.27 234325.54 22725.25 245207.16 22369.28 242194.38 22027.53 24195.79 233147.76 22337.43 23640.97 246
UGNet110.62 210124.04 21070.34 22082.03 22974.27 234325.54 22725.25 245207.16 22369.28 242194.38 22027.53 24195.79 233147.76 22337.43 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
SIFT-PointCN137.54 235153.56 23189.49 24886.92 23499.27 252439.85 24620.52 241276.42 25169.62 245249.96 24323.99 239132.59 256180.42 23634.34 23436.61 233
SIFT-NN-UMatch155.66 241177.77 24389.32 246115.42 25593.92 246530.76 26115.24 236312.03 25772.31 246292.83 25616.40 232130.90 255213.19 25531.76 23043.14 249
FMVSNet5124.76 216140.93 21876.26 231107.44 244100.17 253329.88 23027.12 252259.44 23974.30 247204.34 22430.74 24592.41 224196.98 24138.15 24036.19 226
test1124.76 216140.93 21876.26 231107.44 244100.17 253329.88 23027.12 252259.44 23974.30 247204.34 22430.74 24592.41 224196.98 24138.15 24036.19 226
FMVSNet3124.76 216140.93 21876.26 231107.44 244100.17 253329.88 23027.12 252259.44 23974.30 247204.34 22430.74 24592.41 224196.98 24138.15 24036.19 226
FMVSNet2124.76 216140.93 21876.26 231107.44 244100.17 253329.88 23027.12 252259.44 23974.30 247204.34 22430.74 24592.41 224196.98 24138.15 24036.19 226
FMVSNet1124.76 216140.93 21876.26 231107.44 244100.17 253329.88 23027.12 252259.44 23974.30 247204.34 22430.74 24592.41 224196.98 24138.15 24036.19 226
MIMVSNet1124.76 216140.93 21876.26 231107.44 244100.17 253329.88 23027.12 252259.44 23974.30 247204.34 22430.74 24592.41 224196.98 24138.15 24036.19 226
MIMVSNet124.76 216140.93 21876.26 231107.44 244100.17 253329.88 23027.12 252259.44 23974.30 247204.34 22430.74 24592.41 224196.98 24138.15 24036.19 226
SIFT-NN-PointCN174.29 242198.81 244100.73 250135.35 258113.50 260588.55 26224.71 244355.74 25977.37 254290.44 25427.16 240142.66 259248.71 25741.29 25546.03 250
PVSNet_Blended_VisFu136.90 231155.40 23381.40 240111.00 25196.20 248407.00 24225.90 249251.60 23385.10 255240.50 23937.00 25699.90 236199.80 24940.70 25248.10 251
PVSNet_BlendedMVS136.90 231155.40 23381.40 240111.00 25196.20 248407.00 24225.90 249251.60 23385.10 255240.50 23937.00 25699.90 236199.80 24940.70 25248.10 251
PVSNet_Blended136.90 231155.40 23381.40 240111.00 25196.20 248407.00 24225.90 249251.60 23385.10 255240.50 23937.00 25699.90 236199.80 24940.70 25248.10 251
DSMNet-mixed131.33 226143.00 22596.33 24999.00 24081.00 240201.00 21645.00 277335.00 25899.00 258251.00 24438.00 259110.00 244120.00 22299.00 27298.00 263
ELoFTR243.08 246276.98 248141.35 254143.08 259138.37 261830.03 27520.10 240509.87 266106.57 259483.70 26217.51 233225.37 264341.57 26340.42 25160.32 256
BP-MVS1202.65 243232.15 245114.16 251183.40 264141.78 262655.87 26624.69 243372.56 260109.76 260356.89 25747.15 269139.51 258284.15 25954.86 25861.20 257
LoFTR273.51 250310.65 252162.12 255147.25 260160.13 265918.31 27921.42 242586.82 273125.36 261541.95 26420.52 235254.36 270387.55 26646.65 25671.86 259
FE-MVS207.10 244234.26 246125.61 252180.34 263153.23 263635.64 26530.05 260378.38 261127.68 262377.08 25848.95 271154.43 260266.67 25863.56 25969.18 258
GDP-MVS219.79 245249.11 247131.85 253187.15 265155.97 264667.31 26730.57 261398.95 262131.26 263387.86 25958.83 276164.55 261315.00 26065.03 26075.04 260
MatchFormer330.86 254378.56 256187.76 259176.61 262188.47 2681141.98 29725.30 248698.47 283149.83 264667.80 27722.42 236297.22 274470.67 27353.93 25777.59 261
FA-MVS(test-final)261.15 247293.29 249164.72 256236.23 269199.99 271800.05 27342.35 273475.87 265155.47 265470.67 26158.49 275205.24 263319.44 26181.03 26688.93 262
kuosan267.89 249301.05 251168.41 257244.05 270177.28 266667.98 26865.76 283533.41 268157.79 266492.01 263104.69 292226.72 265364.47 26579.31 265101.21 265
DP-MVS264.78 248296.02 250171.04 258191.70 266183.96 267827.10 27478.36 292438.24 264176.64 267435.12 26065.04 279230.52 267334.02 262117.96 28398.64 264
SSC-MVS320.23 252364.09 254188.66 260260.78 273193.84 269975.93 28473.11 288596.72 274185.29 268589.02 27074.47 281246.01 268427.42 27194.06 271126.12 271
WB-MVS316.44 251357.41 253193.51 261257.06 272213.32 274914.45 27749.03 280600.77 275186.42 269634.00 27675.03 282251.35 269411.39 26888.55 268115.87 269
GLUNet-SfM453.02 273518.66 275256.09 275234.58 268255.96 2811607.37 31233.24 264947.74 301191.46 270875.86 29730.56 244398.99 295672.82 30474.28 263113.32 268
MASt3R-SfM432.55 268498.24 274235.48 265246.34 271235.93 2751447.80 30632.85 263924.84 299196.39 271881.24 29933.31 254367.13 288643.29 29978.11 264103.39 266
UWE-MVS-28327.73 253369.67 255201.90 262281.09 280210.75 272832.98 27674.67 291680.98 282198.23 272613.42 273112.56 295259.80 271418.76 269114.35 276135.15 278
dongtai360.45 257401.64 259236.89 268303.10 282262.16 284963.12 28172.78 286622.82 278199.37 273708.06 280130.96 300310.90 277506.46 282108.11 274137.60 280
testing3418.10 265469.06 267265.23 277335.69 287290.63 2871240.88 30293.72 302717.99 285215.31 274811.97 293232.41 339358.74 283458.67 272114.88 277146.32 282
testing11348.86 256393.09 258216.15 263275.24 277239.53 276915.55 27872.35 285679.89 281215.75 275633.79 275118.08 297276.62 272509.56 283117.61 282132.30 273
testing91347.05 255389.92 257218.43 264275.92 278241.43 277923.71 28071.70 284667.65 280217.04 276629.00 274113.33 296281.39 273495.50 275115.45 278132.47 274
WB-MVSnew404.84 263458.00 265245.36 270374.70 296320.27 2931193.74 30072.90 287773.77 291238.30 277688.22 27990.05 285308.59 276532.76 286157.54 297107.21 267
EG-PatchMatch MVS437.03 269493.12 272268.77 278264.80 275260.20 2831491.80 30998.00 306723.20 287238.80 278722.40 28163.10 278382.00 290629.00 295207.00 313164.10 291
RPSCF394.81 262445.63 264242.35 269276.55 279253.63 2791207.27 30190.69 301715.56 284241.57 279684.87 278111.96 294320.02 279548.38 287133.81 288153.39 286
ArgMatch-SfM559.81 281646.64 287299.29 284273.31 276302.88 2881966.31 31832.78 2621178.38 314242.47 2801172.35 31731.59 252476.65 303841.50 31281.11 267118.35 270
PDCNetPlus580.74 282670.05 288312.81 289293.01 281325.34 2952012.58 32040.24 2721291.32 317244.73 2811126.48 31640.08 265476.71 304892.02 31590.03 270136.37 279
UWE-MVS387.98 260438.66 263235.93 266349.32 290257.61 2821081.50 29282.45 296637.74 279257.12 282738.54 282134.25 301308.00 275531.93 285135.11 289142.17 281
testing99408.82 264462.15 266248.86 272322.45 286269.42 2851118.93 29573.26 289719.36 286262.28 283772.10 284150.98 307327.08 280601.98 291137.99 290150.07 284
myMVS_eth3d28418.40 266473.07 268254.39 274261.18 274313.04 2891172.79 29974.16 290929.18 300264.68 284745.72 283139.03 305318.91 278549.18 288121.71 284131.21 272
Syy-MVS370.76 258415.60 261236.25 267310.54 283210.76 273965.13 28298.58 307746.06 288266.26 285788.85 28791.37 286364.76 285357.17 264116.42 279133.22 276
myMVS_eth3d390.90 261437.44 262251.28 273310.54 283255.86 280965.13 28298.58 307746.06 288266.26 285788.85 287154.95 308364.76 285490.19 274116.42 279133.22 276
ETVMVS443.50 272498.07 273279.78 279378.05 299321.57 2941163.68 29887.12 297897.50 298269.81 287822.83 294141.20 306334.53 282568.21 290154.21 292183.26 298
ArgMatch-Sym628.95 288725.61 291338.98 294319.80 285348.01 2992161.93 32134.42 2651349.94 321274.47 2881311.17 32035.52 255536.43 310953.83 31789.37 269132.49 275
testing222430.52 267487.50 271259.56 276379.87 300282.69 2861138.34 29681.30 294880.86 295281.58 289834.27 295135.83 303333.22 281514.90 284140.56 291162.76 288
ADS-MVSNet2443.33 270482.84 269324.79 292434.94 313387.73 3051110.57 29387.69 298887.02 296282.92 290779.29 28598.57 290422.76 300502.40 276162.19 302163.87 289
ADS-MVSNet443.33 270482.84 269324.79 292434.94 313387.73 3051110.57 29387.69 298887.02 296282.92 290779.29 28598.57 290422.76 300502.40 276162.19 302163.87 289
DP-MVS Recon516.25 280581.17 281321.48 291361.02 291429.00 3121995.36 31978.48 293796.20 292283.32 292796.02 28996.78 287382.98 291636.72 297186.66 310152.46 285
MVP-Stereo473.58 274533.67 276293.33 281376.00 297318.00 2901461.00 30796.00 303835.00 293290.00 293804.00 29097.00 288383.00 292688.00 305156.00 294179.00 296
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 274533.67 276293.33 281376.00 297318.00 2901461.00 30796.00 303835.00 293290.00 293804.00 29097.00 288383.00 292688.00 305156.00 294179.00 296
WBMVS655.88 289770.84 294310.98 288391.79 304353.00 3002280.68 32399.17 3101776.79 342301.20 2951123.23 315187.34 325390.28 294620.39 294156.98 296189.66 302
testing3-2489.51 276555.88 279290.42 280362.21 293319.27 2921424.84 30588.81 300964.80 302309.62 296879.13 298174.38 315363.98 284643.82 300155.29 293188.01 300
PatchmatchNetpermissive492.52 277551.22 278316.40 290400.20 307357.90 3021277.10 303115.80 3141034.60 311315.90 297874.00 296155.10 309402.20 297629.50 296158.80 298189.10 301
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
SSC-MVS3.2667.82 291787.71 295308.16 286385.94 302327.65 2961718.51 313117.00 3161942.46 348317.12 2981488.73 332183.89 316404.82 298763.70 307172.02 305192.01 304
UBG667.82 291787.71 295308.16 286385.94 302327.65 2961718.51 313117.00 3161942.46 348317.12 2981488.73 332183.89 316404.82 298763.70 307172.02 305192.01 304
DenseAffine716.23 294826.00 297386.90 298338.46 288383.55 3042528.22 33639.18 2661519.44 333321.65 3001502.70 33438.50 260629.37 3271046.88 32999.01 273147.77 283
DELS-MVS514.57 279587.73 282295.12 283343.03 289328.09 2981540.48 311116.22 315988.59 303325.44 301906.22 300119.86 299365.72 287788.60 309161.09 301191.55 303
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
DKM753.27 295870.09 304402.84 299361.88 292411.34 3092666.28 34043.92 2751620.97 337327.84 3021561.61 33742.38 266642.06 3291096.20 338109.69 275155.12 287
ACMH+729.97 2661.38 290754.00 292383.51 296368.96 295376.38 3032483.74 33582.42 2951089.25 312333.39 3031219.68 31866.53 280573.60 320957.86 318184.14 309200.56 306
PMatch-SfM784.39 306906.45 312418.23 301363.55 294413.41 3102750.56 34242.96 2741663.64 338341.27 3041653.81 33842.46 267676.23 3311182.18 341117.60 281165.06 292
tpmvs501.65 278567.42 280304.33 285395.39 305356.32 3011512.04 310216.53 343994.15 304350.16 305804.16 292119.38 298380.98 289555.14 289159.87 300175.69 294
PMatch-Up-SfM815.39 309940.33 314440.56 302382.27 301431.17 3132810.50 34346.03 2781754.44 340360.71 3061728.19 34044.08 268722.27 3331214.00 342122.78 285168.24 293
IterMVS615.05 286691.66 289385.23 297516.40 317454.80 3151863.80 316102.10 3111142.20 313364.10 3071093.20 314135.00 302480.40 305826.90 310181.20 307220.50 308
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 287700.96 290362.78 295426.10 312409.25 3081822.69 315124.42 3261186.23 315366.85 3081079.42 312190.60 327451.78 302930.72 316181.59 308227.30 309
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
RoMa-SfM821.88 310947.65 315444.57 303404.53 309436.79 3142814.72 34448.36 2791757.60 341367.99 3091743.22 34150.35 273719.59 3321218.12 343123.95 286177.32 295
DKM-HiRes889.49 3151027.58 325475.22 313423.85 311483.27 3163121.07 34552.45 2811928.03 347389.91 3101854.07 34450.60 274758.69 3361297.31 346130.95 287183.70 299
new-patchmatchnet766.12 297859.03 301487.38 316595.68 319536.14 3212346.27 325142.51 3311488.08 324422.43 3111361.32 323163.65 312628.60 3251003.74 327207.61 314297.41 323
SixPastTwentyTwo773.62 298869.37 303486.35 315603.45 321547.15 3312532.14 337106.92 3131434.95 323428.08 3121360.56 322165.15 313628.96 326984.09 319209.01 315282.94 320
lessismore_v0569.20 322667.25 340644.68 34096.45 305428.86 3131514.17 335204.21 334756.58 3341061.60 330197.79 312306.34 324
RoMa-HiRes1034.45 3261193.62 329556.95 320500.36 316544.88 3293519.53 34761.60 2822201.60 353461.12 3142254.28 34960.98 277906.83 3421523.88 349159.21 299219.15 307
IterMVS-LS758.94 296856.56 300466.10 312606.60 322546.80 3302309.90 324122.20 3251402.80 322463.50 3151348.20 321192.60 328574.60 3211028.60 328234.60 325276.90 319
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
mvs_anonymous774.90 299882.28 305452.77 304636.50 331537.20 3222348.80 326120.30 3181504.30 325474.40 3161371.10 324186.90 318564.70 3131078.90 331219.30 316256.40 310
casdiffmvspermissive774.90 299882.28 305452.77 304636.50 331537.20 3222348.80 326120.30 3181504.30 325474.40 3161371.10 324186.90 318564.70 3131078.90 331219.30 316256.40 310
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 299882.28 305452.77 304636.50 331537.20 3222348.80 326120.30 3181504.30 325474.40 3161371.10 324186.90 318564.70 3131078.90 331219.30 316256.40 310
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 299882.28 305452.77 304636.50 331537.20 3222348.80 326120.30 3181504.30 325474.40 3161371.10 324186.90 318564.70 3131078.90 331219.30 316256.40 310
baseline1774.90 299882.28 305452.77 304636.50 331537.20 3222348.80 326120.30 3181504.30 325474.40 3161371.10 324186.90 318564.70 3131078.90 331219.30 316256.40 310
casdiffmvs_mvgpermissive774.90 299882.28 305452.77 304636.50 331537.20 3222348.80 326120.30 3181504.30 325474.40 3161371.10 324186.90 318564.70 3131078.90 331219.30 316256.40 310
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 299882.28 305452.77 304636.50 331537.20 3222348.80 326120.30 3181504.30 325474.40 3161371.10 324186.90 318564.70 3131078.90 331219.30 316256.40 310
ACMH993.80 5967.92 3181106.11 328553.33 319494.00 315534.00 3203581.00 348136.00 3281585.00 335478.00 3231871.00 34590.00 283839.00 3381460.00 347260.00 326287.00 321
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet1207.94 6829.56 312937.18 313506.69 317645.55 338585.72 3332477.98 334130.52 3271578.29 334509.50 3241460.01 331194.90 329637.19 3281170.78 340267.07 329297.17 322
Gipumacopyleft689.75 293767.00 293458.00 311613.00 329549.00 3321943.00 317187.00 3401230.00 316518.00 3251092.00 313203.00 333564.00 312892.00 314225.00 323261.00 317
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft863.65 3957.08 3171054.11 326666.00 332401.00 308495.00 3183790.00 350279.00 3451607.00 336521.00 3261745.00 34290.00 2831105.00 356639.00 298415.00 341398.00 337
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
K. test v3877.74 314980.16 317570.46 3231316.85 363813.15 3492565.52 338103.78 3121509.49 332548.33 3271258.90 319219.93 338587.82 3221102.37 339196.30 311310.42 325
GG-mvs-BLEND596.01 324611.29 326600.33 334790.30 270513.12 380552.71 328567.40 265662.54 383531.67 306503.93 278779.80 362656.02 346
gg-mvs-nofinetune594.69 283605.37 283562.67 321617.29 330500.33 319772.30 269413.12 365579.21 269552.71 328567.40 265662.54 383531.67 306503.93 278779.80 362656.02 346
CR-MVSNet612.36 285617.81 286596.01 324611.29 326600.33 334790.30 270513.12 380579.21 269552.71 328567.40 265662.54 383531.67 306503.93 278779.80 362656.02 346
MVSTER890.06 3161005.91 324542.52 318736.13 343653.90 3412616.56 339145.22 3331692.10 339555.69 3311554.72 336266.25 340660.02 3301219.66 344266.84 328313.64 326
ACMP1246.57 71086.24 3271235.17 331639.45 327596.53 320639.91 3393904.24 351152.04 3341851.54 344566.58 3321997.95 347138.50 304938.30 3431605.46 350303.70 335340.14 328
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PVSNet_01661.03 9968.54 3191066.82 327673.70 333706.94 341695.69 3422669.02 341153.52 3352108.17 351605.54 3331679.14 339213.26 337886.75 3411236.76 345229.01 324438.67 339
tmp_tt371.08 259412.78 260246.00 271231.00 267197.00 2701293.00 304376.00 356756.00 290609.00 33471.00 211106.00 293195.00 262102.00 220171.00 304346.00 330
RE-MVS-def610.10 284610.10 324610.10 337610.10 263610.10 389610.10 276610.10 335610.10 271610.10 371610.10 292610.10 345610.10 343
SR-MVS610.10 284610.10 284610.10 326610.10 324610.10 337610.10 263610.10 389610.10 276610.10 335610.10 271610.10 371610.10 323610.10 292610.10 345610.10 343
MSLP-MVS++1242.93 3321411.08 335738.48 337712.71 342712.68 3434168.17 353136.50 3292276.40 354613.28 3372368.60 353161.61 3111130.38 3571964.54 357297.88 332372.39 333
MVS_111021_LR1136.45 3301298.72 333649.64 328756.17 344726.26 3453785.94 349138.15 3302190.64 352629.63 3382064.39 348165.45 314874.83 3401678.43 353279.70 330347.82 331
ACMMPR1296.60 3341480.82 337743.96 338899.25 348763.47 3474305.47 354143.90 3322530.94 357683.99 3392346.34 352201.65 3321098.25 3551920.59 356295.21 331370.16 332
test_04021110.00 3291260.00 332660.00 329900.00 349780.00 3483300.00 346210.00 3422040.00 350690.00 3401950.00 346300.00 344810.00 3371620.00 351330.00 336390.00 336
DeepC-MVS_fast2190.19 121535.59 3371886.82 341481.89 314847.73 345830.16 3507943.84 375189.23 3412398.83 355691.73 3412341.13 351209.16 335230.25 2661999.25 358360.46 337385.25 335
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMM1311.08 81165.06 3311332.72 334662.07 331584.90 318715.99 3444373.59 355153.99 3361880.27 345709.02 3422316.97 350188.63 326939.89 3441484.30 348302.78 334330.34 327
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
TSAR-MVS + GP.1386.84 3351622.84 339678.81 334952.13 350840.17 3515358.21 359170.75 3382650.47 358713.54 3432394.28 354209.42 336855.56 3391854.36 355302.42 333340.71 329
MG-MVS1256.50 3331432.00 336730.00 336610.00 323760.00 3464720.00 356169.00 3371920.00 346723.00 3442510.00 356201.00 3311050.00 3541645.00 352390.00 339380.00 334
CSCG826.03 311963.29 316414.24 300421.52 310426.11 3112230.35 322179.52 3391827.44 343733.43 345933.12 302281.25 341545.23 3111800.35 354262.64 327271.38 318
FPMVS1407.00 3361495.59 3381141.23 349648.01 339893.85 3534124.00 352503.81 3793219.04 361742.72 3462498.84 355157.98 3101727.83 363832.93 311732.98 361802.00 355
Patchmtry1090.75 3281198.88 330766.38 3391290.90 361485.90 3172423.98 3331267.30 4121297.17 318923.90 347923.40 3011215.54 404990.23 345667.90 301779.80 362823.02 360
PatchT856.34 313860.99 302842.38 3401290.90 361880.90 352790.30 2701267.30 412579.21 269923.90 347567.40 265662.54 383990.23 345887.56 313779.80 362656.02 346
COLMAP_ROBcopyleft2144.59 111658.33 3381869.33 3401025.33 3481030.00 3581023.00 3635311.00 358359.00 3543044.00 359937.00 3492892.00 357332.00 3481440.00 3602312.00 360607.00 344613.00 345
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ambc999.00 341999.00 351999.00 356999.00 285999.00 405999.00 350999.00 303999.00 396999.00 347999.00 320999.00 381999.00 378
OurMVSNet-221017-0999.00 320999.00 318999.00 341999.00 351999.00 356999.00 285999.00 405999.00 305999.00 350999.00 303999.00 396999.00 347999.00 320999.00 381999.00 378
EPMVS999.00 320999.00 318999.00 341999.00 351999.00 356999.00 285999.00 405999.00 305999.00 350999.00 303999.00 396999.00 347999.00 320999.00 381999.00 378
uanet_test1000.00 3221000.00 3201000.00 3441000.00 3541000.00 3591000.00 2881000.00 4081000.00 3071000.00 3531000.00 3061000.00 3991000.00 3501000.00 3231000.00 3841000.00 381
sosnet1000.00 3221000.00 3201000.00 3441000.00 3541000.00 3591000.00 2881000.00 4081000.00 3071000.00 3531000.00 3061000.00 3991000.00 3501000.00 3231000.00 3841000.00 381
USDC1000.00 3221000.00 3201000.00 3441000.00 3541000.00 3591000.00 2881000.00 4081000.00 3071000.00 3531000.00 3061000.00 3991000.00 3501000.00 3231000.00 3841000.00 381
TinyColmap1000.00 3221000.00 3201000.00 3441000.00 3541000.00 3591000.00 2881000.00 4081000.00 3071000.00 3531000.00 3061000.00 3991000.00 3501000.00 3231000.00 3841000.00 381
JIA-IIPM804.30 308835.64 299710.26 335885.90 346895.90 354455.98 250668.73 3941297.17 3181002.26 3571001.67 310655.98 381756.98 335667.90 301885.21 374477.90 340
RPMNet787.26 307829.13 298661.63 330885.90 346895.90 354455.98 250610.10 3891297.17 3181002.26 3571001.67 310655.98 381611.10 324667.90 301885.21 374477.90 340
F-COLMAP1878.17 3392113.11 3421173.33 3521231.00 3591174.00 3646297.00 361392.00 3593356.00 3631087.00 3593082.00 358361.00 3521670.00 3622523.00 362689.00 351676.00 350
PCF-MVS4335.85 202272.23 3452597.03 3481297.84 3531701.20 3681332.37 3658105.11 376451.45 3684031.84 3681099.10 3603966.50 366467.45 3601734.05 3642701.68 365848.94 371827.11 361
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CMPMVSbinary2623.62 151983.08 3412156.14 3431463.89 3621414.80 3651517.00 3695239.20 357867.40 3993310.30 3621128.70 3613489.90 361366.75 3532030.20 3742427.60 3611160.60 393844.46 363
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVScopyleft2352.88 132263.08 3442530.89 3471459.67 3611767.00 3761591.00 3727932.00 374399.00 3603643.00 3641176.00 3623569.00 363297.00 3431927.00 3703302.00 368693.00 356861.00 364
MVS-HIRNet2125.39 3422452.68 3451143.53 3502938.33 4061446.92 3686083.19 360391.74 3583801.71 3661202.10 3633439.72 360492.73 3621304.35 3593048.25 367676.32 350679.32 351
ZD-MVS1584.00 3661821.00 389378.00 3573721.00 3651231.00 3641833.00 343321.00 3471224.00 3582103.00 359692.00 355
DeepPCF-MVS3452.42 182670.71 3533021.57 3551618.12 3642377.67 3921751.39 3858915.70 381567.44 3874569.74 3751236.84 3654615.63 372513.23 3632291.32 3763515.48 372882.39 373811.66 357
PLCcopyleft2858.82 162192.92 3432474.00 3461349.67 3541407.00 3641356.00 3667164.00 366475.00 3723970.00 3671237.00 3663765.00 365451.00 3591891.00 3683006.00 366791.00 367802.00 355
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
Vis-MVSNetpermissive2877.42 3563170.00 3591999.67 3771673.00 3672042.00 3958593.00 379474.00 3716452.00 3921268.00 3675125.00 379339.00 3493004.00 3924222.00 382384.00 338953.00 374
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
DeepC-MVS3917.13 193155.06 3593601.83 3621814.72 3722515.52 3951941.53 39010432.50 396589.42 3884789.45 3761298.65 3687677.31 397578.35 3702589.53 3823611.78 374923.52 376913.10 369
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
test_0728_THIRD5016.02 3791363.85 3694894.28 376387.23 3542023.43 3713973.88 376620.04 347732.56 352
test07261725.60 3691598.35 3739203.30 382315.86 3485016.02 3791363.85 3694894.28 376387.23 354
SD-MVS2654.53 3523055.56 3571451.45 3591725.60 3691598.35 3739203.30 382315.86 3485016.02 3791363.85 3694894.28 376387.23 3542023.43 3713973.88 376620.04 347732.56 352
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
3Dnovator2482.06 142531.17 3492839.56 3521606.00 3631732.00 3721557.00 3718375.00 378483.00 3734370.00 3731371.00 3724200.00 367350.00 3502207.00 3753877.00 375798.00 3681054.00 385
SteuartSystems-ACMMP2891.50 3573284.78 3601711.67 3671954.00 3791655.00 37910117.00 395445.00 3675102.00 3821375.00 3735126.00 380351.00 3512638.00 3884402.00 383691.00 354842.00 362
Skip Steuart: Steuart Systems R&D Blog.
AdaColmapbinary2570.77 3512948.61 3541437.24 3581873.64 3781526.60 3707819.77 373373.97 3554970.45 3771479.29 3744648.46 373525.80 3651904.97 3694150.42 380695.69 357880.14 368
LF4IMVS2699.50 3543049.67 3561649.00 3651755.00 3731689.00 3808330.00 377464.00 3704997.00 3781528.00 3754763.00 375568.00 3692296.00 3774215.00 381827.00 370962.00 375
tpmrst2557.50 3502847.12 3531688.66 3661784.08 3771778.25 3867445.50 372342.14 3514471.54 3741534.55 3764382.10 371530.10 3662361.21 3784142.81 379991.22 379926.51 370
CHOSEN 280x4202340.81 3462643.03 3491434.14 3552025.55 3851629.36 3766542.40 362412.49 3624219.70 3701547.02 3774328.52 368650.74 3781798.26 3653333.17 369727.72 358874.79 365
CHOSEN 1792x26882340.81 3462643.03 3491434.14 3552025.55 3851629.36 3766542.40 362412.49 3624219.70 3701547.02 3774328.52 368650.74 3781798.26 3653333.17 369727.72 358874.79 365
HyFIR lowres test2340.81 3462643.03 3491434.14 3552025.55 3851629.36 3766542.40 362412.49 3624219.70 3701547.02 3774328.52 368650.74 3781798.26 3653333.17 369727.72 358874.79 365
DPM-MVS3268.00 3603762.89 3631783.33 3701756.00 3741806.00 38712319.00 398307.00 3466319.00 3901557.00 3805763.00 382302.00 3452609.00 3845061.00 387482.00 342935.00 372
OPM-MVS3268.00 3603762.89 3631783.33 3701756.00 3741806.00 38712319.00 398307.00 3466319.00 3901557.00 3805763.00 382302.00 3452609.00 3845061.00 387482.00 342935.00 372
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
EGC-MVSNET2819.75 3553096.89 3581988.33 3763105.00 4072241.00 3979480.00 386640.00 3934209.00 3691583.00 3824740.00 374547.00 3682797.00 3902644.00 364924.00 377927.00 371
tpm23617.85 3644007.23 3662449.73 3842012.71 3811698.05 3817351.19 368869.29 4006132.06 3851588.28 3838007.42 4001281.09 4053888.11 4057472.04 4051351.00 3951763.02 401
tpm cat13617.85 3644007.23 3662449.73 3842012.71 3811698.05 3817351.19 368869.29 4006132.06 3851588.28 3838007.42 4001281.09 4053888.11 4057472.04 4051351.00 3951763.02 401
CostFormer3617.85 3644007.23 3662449.73 3842012.71 3811698.05 3817351.19 368869.29 4006132.06 3851588.28 3838007.42 4001281.09 4053888.11 4057472.04 4051351.00 3951763.02 401
tpm3617.85 3644007.23 3662449.73 3842012.71 3811698.05 3817351.19 368869.29 4006132.06 3851588.28 3838007.42 4001281.09 4053888.11 4057472.04 4051351.00 3951763.02 401
DVP-MVS++3981.10 3704731.32 3751730.42 3682191.51 3881949.98 39116473.90 407355.33 3527172.90 4011622.98 3877879.79 398434.33 3572428.11 3805762.12 390689.04 352813.18 358
DVP-MVScopyleft3981.10 3704731.32 3751730.42 3682191.51 3881949.98 39116473.90 407355.33 3527172.90 4011622.98 3877879.79 398434.33 3572428.11 3805762.12 390689.04 352813.18 358
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
OpenMVS_ROBcopyleft1936.51 101959.51 3402224.88 3441163.39 3511253.91 3601434.22 3677065.71 365272.76 3442472.29 3561647.54 3893538.72 362200.37 3301496.48 3612575.17 363997.45 380559.48 342
TAPA-MVS6309.84 213374.90 3623806.99 3652078.63 3792535.47 3962499.25 4058816.16 380456.05 3696255.60 3891664.52 3906704.88 387629.95 3762768.38 3896343.93 401856.35 372968.25 376
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 3634065.89 3701914.35 3732349.10 3912141.30 39612362.70 400417.60 3666717.80 3961759.40 3916497.50 385518.18 3642629.38 3875164.32 389806.40 369972.38 377
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
3Dnovator+3414.41 173146.67 3583537.00 3611975.67 3742310.00 3902005.00 39410100.00 394626.00 3925753.00 3831803.00 3925179.00 381487.00 3612622.00 3864550.00 3841025.00 3881300.00 392
ITE_SJBPF2014.00 3781998.00 3801992.00 393701.00 3955989.00 3841812.00 3933612.00 364650.00 3772852.00 3914601.00 3851195.00 3941198.00 391
MVS_111021_HR3742.80 3684330.34 3711980.20 3752484.31 3942259.52 39814973.80 405515.90 3866500.13 3931949.21 3946146.89 384535.66 3672593.66 3834880.76 386986.37 3781087.43 386
FOURS12643.17 3972465.14 40013996.40 402493.26 3747619.38 4042107.24 395
PC_three_14527619.38 4042107.24 3957416.93 394610.24 3733088.29 3976075.14 3971078.39 3891159.26 387
test_one_06012643.17 3972465.14 400493.26 3747619.38 4042107.24 3957416.93 394610.24 373
SED-MVS4062.74 3734671.13 3742237.56 3802643.17 3972465.14 40013996.40 402493.26 3747619.38 4042107.24 3957416.93 394610.24 3733088.29 3976075.14 3971078.39 3891159.26 387
IU-MVS2725.60 4022598.35 406515.86 3827016.02 3972363.85 3995973.88 3931620.04 4011732.56 397
test_241102_TWO515.86 3827016.02 3972363.85 3996894.28 388887.23 3913023.43 3935973.88 3931620.04 4011732.56 397
test_241102_ONE2725.60 4022598.35 406515.86 3827016.02 3972363.85 3996894.28 388887.23 3913023.43 393
MSP-MVS4296.20 3744911.12 3782451.45 3882725.60 4022598.35 40616203.30 406515.86 3827016.02 3972363.85 3996894.28 388887.23 3913023.43 3935973.88 3931620.04 4011732.56 397
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
GST-MVS4000.00 3724533.33 3732400.00 3832400.00 3932400.00 3997200.00 3672400.00 4167200.00 4032400.00 4037200.00 3922400.00 4092400.00 3797200.00 4032400.00 4072400.00 406
MAR-MVS3973.16 3694387.92 3722728.86 3903345.27 4093341.39 41311403.90 397798.76 3976555.62 3952569.29 4046514.86 386834.97 3903237.43 4025891.08 3921577.54 4001607.76 393
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
API-MVS4380.83 3754906.56 3772803.67 3913844.00 4103116.00 41113454.00 401901.00 4046511.00 3942794.00 4057365.00 393754.00 3873634.00 4036622.00 4021914.00 4061661.00 396
OMC-MVS5022.26 3765748.82 3792842.58 3924905.27 4123101.27 41014933.60 404812.24 3989278.40 4082959.29 4068800.17 4041092.24 4033806.30 4047568.54 4091389.60 3991620.18 395
TestfortrainingZip3151.39 3933151.39 4083151.39 41221344.80 4093151.39 4173151.39 3603151.39 4073151.39 3593151.39 4113151.39 4013151.39 4093151.39 407
LS3D7684.71 3788776.23 3814410.16 3955298.55 4135631.53 41534329.90 4161504.57 41411554.00 4173896.41 40815111.00 413812.19 3885985.63 4103516.20 3732963.23 4081613.31 394
CLD-MVS7338.25 3778341.00 3804330.00 3944902.00 4114991.00 41423318.00 414728.00 39614437.00 4184378.00 40913379.00 412824.00 3895708.00 40911429.00 4181674.00 4052291.00 405
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MVEpermissive10021.00 2210550.67 38610002.44 38912195.33 4046242.00 4148768.00 41730896.00 4154451.00 41810331.00 4166247.00 41018296.00 414283.00 34221484.00 4197364.00 4045912.00 4116334.00 409
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 38711772.44 3907637.33 3969120.00 4158206.00 41622252.00 4132010.00 41524984.00 4197458.00 41122596.00 4152940.00 41010260.00 41811100.00 4173492.00 4104446.00 408
ZNCC-MVS9999.00 3799999.00 3829999.00 3979999.00 4169999.00 4189999.00 3879999.00 4219999.00 4099999.00 4129999.00 4059999.00 4139999.00 4119999.00 4109999.00 4129999.00 410
patch_mono-210000.00 38010000.00 38310000.00 39810000.00 41710000.00 41910000.00 38810000.00 42210000.00 41010000.00 41310000.00 40610000.00 41410000.00 41210000.00 41110000.00 41310000.00 411
dcpmvs_210000.00 38010000.00 38310000.00 39810000.00 41710000.00 41910000.00 38810000.00 42210000.00 41010000.00 41310000.00 40610000.00 41410000.00 41210000.00 41110000.00 41310000.00 411
DCPMVS10000.00 38010000.00 38310000.00 39810000.00 41710000.00 41910000.00 38810000.00 42210000.00 41010000.00 41310000.00 40610000.00 41410000.00 41210000.00 41110000.00 41310000.00 411
UA-Net10000.00 38010000.00 38310000.00 39810000.00 41710000.00 41910000.00 38810000.00 42210000.00 41010000.00 41310000.00 40610000.00 41410000.00 41210000.00 41110000.00 41310000.00 411
uncertanet10000.00 38010000.00 38310000.00 39810000.00 41710000.00 41910000.00 38810000.00 42210000.00 41010000.00 41310000.00 40610000.00 41410000.00 41210000.00 41110000.00 41310000.00 411
uanet10000.00 38010000.00 38310000.00 39810000.00 41710000.00 41910000.00 38810000.00 42210000.00 41010000.00 41310000.00 40610000.00 41410000.00 41210000.00 41110000.00 41310000.00 411
LTVRE_ROB20565.47 2323378.08 38822805.00 39125097.33 40515500.00 42319201.00 42542712.00 4176055.00 41938388.00 42016926.00 41938534.00 4167071.00 41235653.00 42029475.00 41910584.00 41920438.00 418
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 38934443.44 39227094.33 40629249.00 42425246.00 42651144.00 4186705.00 42042886.00 42122888.00 42048534.00 41713263.00 42037507.00 42179298.00 42016024.00 42018530.00 417
test-26052499999.00 42599999.00 42799999.00 42899999.00 42199999.00 42199999.00 42299999.00 42199999.00 421
114514_t99999.00 39099999.00 39399999.00 40799999.00 42599999.00 42799999.00 41999999.00 42899999.00 42299999.00 42199999.00 41899999.00 42199999.00 42299999.00 42199999.00 42199999.00 419
PHI-MVS99999.00 39099999.00 39399999.00 40799999.00 42599999.00 42799999.00 41999999.00 42899999.00 42299999.00 42199999.00 41899999.00 42199999.00 42299999.00 42199999.00 42199999.00 419
XVG-OURS-SEG-HR999999.00 394999999.00 395999999.00 409999999.00 428999999.00 430999999.00 421999999.00 431999999.00 424999999.00 424999999.00 420999999.00 424999999.00 425999999.00 424999999.00 425999999.00 421
XVG-OURS999999.00 394999999.00 395999999.00 409999999.00 428999999.00 430999999.00 421999999.00 431999999.00 424999999.00 424999999.00 420999999.00 424999999.00 425999999.00 424999999.00 425999999.00 421
XVG-ACMP-BASELINE999999.00 394999999.00 395999999.00 409999999.00 428999999.00 430999999.00 421999999.00 431999999.00 424999999.00 424999999.00 420999999.00 424999999.00 425999999.00 424999999.00 425999999.00 421
PRO-TEST10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
aaatest10000000.00 41210000000.00 43110000000.00 43321344.80 40910000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42810000000.00 42710000000.00 42810000000.00 424
MED-MVS8343445.32 3977791260.42 40010000000.00 41210000000.00 43110000000.00 43321344.80 40910000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42799999.00 42110000000.00 424
TestfortrainingZip a9168445.40 3988891260.53 40110000000.00 41210000000.00 43110000000.00 43321344.80 40910000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
mamba_040810000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
icg_test_0407_210000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
SSM_0407210000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
SSM_040710000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
IMVS_040710000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
IMVS_040410000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
SSM_040410000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
IMVS_040310000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
SD_040310000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
aaEdge-Enhanced10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
NormalMVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
lecture10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
SymmetryMVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
Elysia10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
StellarMVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
KinetiMVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
LuminaMVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
VortexMVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
AstraMVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
guyue10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
sc_t110000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
tt0320-xc10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
tt032010000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
MVSMamba_PlusPlus10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
MGCFI-Net10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
sasdasda10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
dmvs_re10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
SDMVSNet10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
dmvs_testset10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
sd_testset10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
BridgeMVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
MonoMVSNet10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
test250610000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
test111110000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
ECVR-MVScopyleft10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
test_blank10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
tt080510000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
Anonymous2024052110000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
cl2210000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
miper_ehance_all_eth10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
miper_enhance_ethall10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
cl____10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
DIV-MVS_self_test10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
eth_miper_zixun_eth10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
ET-MVSNet_ETH3D10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
UniMVSNet_ETH3D10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
miper_lstm_enhance10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
D2MVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
test_yl10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
thisisatest053010000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
Anonymous2024052910000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
Anonymous20240521110000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
DCV-MVSNet10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
tttt051710000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
our_test_310000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
thisisatest051510000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
ppachtmachnet_test10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
SMA-MVScopyleft10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
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 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part210000000.00 43110000000.00 43310000000.00 427
thres100view90010000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
tfpnnormal10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
tfpn200view910000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
c3_l10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
IterMVS-SCA-FT10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
pmmvs610000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
pmmvs510000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
Anonymous2023121110000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
pmmvs-eth3d10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
Anonymous2023120610000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
SCA10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
Patchmatch-test10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
Patchmatch-RL test10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
canonicalmvs10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
anonymousdsp10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
FIs10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
FC-MVSNet-test10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
sosnet-low-res10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
AllTest10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
TestCases10000000.00 41210000000.00 43110000000.00 43310000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
RRT-MVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
balanced_ft_v110000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
HPM-MVS++copyleft10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
XVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
pm-mvs110000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
X-MVStestdata10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
APDe-MVScopyleft10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
pmmvs410000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
test-LLR10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
TESTMET0.1,110000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
test-mter10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
testgi10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
test20.0310000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
thres600view710000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
MP-MVScopyleft10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
thres40010000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
test12310000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
thres20010000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
test0.0.03 110000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
pmmvs310000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
EMVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
E-PMN10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
PGM-MVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
MCST-MVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
MVS_Test10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
PMMVS210000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
PM-MVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
HQP_MVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
plane_prior310000000.00 43310000000.00 42710000000.00 427
mPP-MVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
mvsmamba10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
HPM-MVS_fast10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
HPM-MVScopyleft10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
LGP-MVS_train10000000.00 41210000000.00 43110000000.00 43310000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
EPNet_dtu10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP-NCC10000000.00 43110000000.00 42410000000.00 42710000000.00 427
ACMP_Plane10000000.00 43110000000.00 42410000000.00 42710000000.00 427
HQP4-MVS10000000.00 42710000000.00 42810000000.00 424
CNVR-MVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
NCCC10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
CP-MVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
CPTT-MVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
HQP-MVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
IS-MVSNet10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
PAPM_NR10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
PAPR10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
Vis-MVSNet (Re-imp)10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
PatchMatch-RL10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
TDRefinement10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
EPP-MVSNet10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
PMMVS10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
PAPM10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
ACMMPcopyleft10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
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 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
wuyk23d10000000.00 39910000000.00 40210000000.00 41210000000.00 43110000000.00 43310000000.00 42410000000.00 43410000000.00 42710000000.00 42710000000.00 42310000000.00 42710000000.00 42810000000.00 42710000000.00 42810000000.00 424
APD-MVScopyleft1000000000.00 5321000000000.00 5351000000000.00 5501000000000.00 5771000000000.00 5771000000000.00 5621000000000.00 5771000000000.00 5691000000000.00 5701000000000.00 5661000000000.00 5711000000000.00 5711000000000.00 5691000000000.00 5691000000000.00 566
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
PatchmatchNet2copyleft400.00 306400.00 307400.00 241400.00 361400.00 263
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
PatchmatchNet1copyleft400.00 267400.00 340400.00 338
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
PatchmatchNet3copyleft400.00 296
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
WAC-MVS248.46 278422.23 270
MSC_two_6792asdad2237.56 3802643.17 3972465.14 400493.26 3743088.29 3976075.14 3971078.39 3891159.26 387
No_MVS2237.56 3802643.17 3972465.14 400493.26 3743088.29 3976075.14 3971078.39 3891159.26 387
eth-test21.42 140
eth-test10000000.00 431
OPU-MVS2451.45 3882725.60 4022598.35 4069203.30 3826894.28 388887.23 3913023.43 3935973.88 3931620.04 4011732.56 397
save fliter0.00 10.00 10.00 10.00 10.00 1
test_0728_SECOND1451.45 3591725.60 3691598.35 3739203.30 382315.86 3482023.43 3713973.88 376620.04 347732.56 352
GSMVS10000000.00 424
sam_mvs110000000.00 42710000000.00 424
sam_mvs10000000.00 427
MTGPAbinary10000000.00 434
test_post110000000.00 42410000000.00 42310000000.00 42710000000.00 42810000000.00 427
test_post10000000.00 42310000000.00 42710000000.00 428
patchmatchnet-post10000000.00 42310000000.00 42710000000.00 428
MTMP10000000.00 42410000000.00 434
gm-plane-assit611.29 326600.33 334579.21 269567.40 265531.67 306503.93 278
test9_res0.00 10.00 10.00 1
agg_prior20.00 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
无先验0.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM20.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
testdata10.00 10.00 1
plane_prior710000000.00 43110000000.00 433
plane_prior610000000.00 43110000000.00 43310000000.00 427
plane_prior510000000.00 43410000000.00 42810000000.00 42710000000.00 42810000000.00 424
plane_prior410000000.00 423
plane_prior210000000.00 42410000000.00 427
plane_prior110000000.00 431
plane_prior1.00 1342.00 1722.00 1732.00 171
n214.20 231
nn1.42 142
door-mid1.42 142
test111.00 135
door99.00 309
HQP5-MVS10000000.00 433
BP-MVS10000000.00 427
HQP3-MVS10000000.00 43410000000.00 428
HQP2-MVS10000000.00 427
NP-MVS10000000.00 43110000000.00 43310000000.00 423
ACMMP++_ref10000000.00 428
ACMMP++10000000.00 428
Test By Simon990.00 395