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 1905.90 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 1905.90 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 1905.90 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 1905.90 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 1905.90 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 1905.90 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 1905.90 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 1905.90 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 1905.90 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 1996.66 1926.66 1906.66 1886.66 1926.66 1916.66 1896.66 1926.66 192
dp87.20 207113.80 2117.42 18510.50 2048.88 193298.82 2282.70 186510.35 2697.79 191172.93 2213.37 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 2059.99 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 20610.28 19510.28 19410.28 19010.28 20010.28 19410.28 19210.28 19510.28 194
xiu_mvs_v2_base10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20610.28 19510.28 19410.28 19010.28 20010.28 19410.28 19210.28 19510.28 194
xiu_mvs_v1_base10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20610.28 19510.28 19410.28 19010.28 20010.28 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 20610.28 19510.28 19410.28 19010.28 20010.28 19410.28 19210.28 19510.28 194
cdsmvs_eth3d_5k10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20610.28 19510.28 19410.28 19010.28 20010.28 19410.28 19210.28 19510.28 194
pcd_1.5k_mvsjas10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20610.28 19510.28 19410.28 19010.28 20010.28 19410.28 19210.28 19510.28 194
PS-MVSNAJss10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20610.28 19510.28 19410.28 19010.28 20010.28 19410.28 19210.28 19510.28 194
PS-MVSNAJ10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20610.28 19510.28 19410.28 19010.28 20010.28 19410.28 19210.28 19510.28 194
jajsoiax10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20610.28 19510.28 19410.28 19010.28 20010.28 19410.28 19210.28 19510.28 194
mvs_tets10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20610.28 19510.28 19410.28 19010.28 20010.28 19410.28 19210.28 19510.28 194
test_method18.29 19120.89 19310.50 19615.00 20613.00 20855.00 2153.00 18734.00 20811.50 20432.50 2025.00 18213.50 20527.00 2065.00 1825.00 182
SR-MVS-dyc-post11.55 18911.55 19111.55 19811.55 20511.55 20711.55 20411.55 22211.55 20511.55 20511.55 20011.55 21211.55 20411.55 20211.55 20511.55 204
GeoE19.41 19222.09 19411.37 19717.21 20811.30 20650.50 2144.30 18833.60 20711.70 20644.50 2107.30 19418.90 20722.60 2057.10 1933.90 180
XXY-MVS15.00 19015.00 19215.00 19915.00 20615.00 20915.00 20515.00 23615.00 20615.00 20715.00 20115.00 22315.00 20615.00 20415.00 21015.00 207
GBi-Net44.67 20249.24 20430.96 20147.53 21847.57 221126.09 2178.00 20376.99 21726.09 20873.50 21311.27 21130.55 20961.12 21612.58 20714.75 206
nomal-139.76 19445.28 20323.20 20036.57 21032.48 21098.95 2165.50 18984.74 21828.76 20976.23 21410.18 19924.51 20854.61 21512.00 20612.60 205
SIFT-UM-Cal75.41 20585.83 20744.16 21152.44 21948.43 222255.64 2247.90 202154.54 22435.49 210135.89 2187.20 19362.85 222106.86 22316.47 21121.20 210
SIFT-NCM-Cal72.17 20481.80 20643.26 21053.17 22047.34 220241.27 2217.46 200147.21 22135.86 211128.70 2178.51 19662.68 22199.13 22114.93 20919.77 208
SIFT-CM-Cal70.81 20380.73 20541.07 20953.36 22145.50 218238.80 2207.63 201146.46 22036.86 212124.25 2168.43 19557.83 21896.77 22013.98 20819.87 209
SIFT-PCN-Cal76.63 20686.39 20847.35 21386.31 23548.76 223235.08 21917.15 240145.29 21938.11 213117.96 21518.08 23564.06 22395.58 21923.97 22029.22 215
BH-w/o40.00 19540.00 19640.00 20440.00 21240.00 21140.00 20940.00 27040.00 21140.00 21440.00 20440.00 26240.00 21140.00 20740.00 24840.00 242
BH-untuned40.00 19540.00 19640.00 20440.00 21240.00 21140.00 20940.00 27040.00 21140.00 21440.00 20440.00 26240.00 21140.00 20740.00 24840.00 242
BH-RMVSNet40.00 19540.00 19640.00 20440.00 21240.00 21140.00 20940.00 27040.00 21140.00 21440.00 20440.00 26240.00 21140.00 20740.00 24840.00 242
TR-MVS40.00 19540.00 19640.00 20440.00 21240.00 21140.00 20940.00 27040.00 21140.00 21440.00 20440.00 26240.00 21140.00 20740.00 24840.00 242
MVS_baseline40.71 19940.62 20040.98 20835.83 20941.70 21640.69 21330.01 26040.17 21544.54 21847.62 21147.49 27241.26 21546.59 21332.67 23439.99 241
VLMVS_CLIP41.36 20042.10 20239.14 20339.32 21143.30 21734.99 20744.38 27840.53 21645.84 21939.32 20349.12 27441.40 21647.27 21438.10 24032.71 219
VLMVS39.38 19339.70 19538.39 20243.20 21741.62 21535.73 20839.21 26935.81 20946.46 22042.92 20831.86 25436.19 21046.03 21236.10 23637.37 237
MVS_clip42.12 20141.02 20145.43 21241.55 21647.24 21934.87 20631.91 26339.23 21047.00 22143.77 20945.79 27045.96 21741.07 21143.97 25743.09 250
SP-LightGlue108.97 211125.92 21658.13 21678.34 22861.59 226393.69 2429.94 204223.58 23048.33 222199.72 22510.99 21086.77 224149.09 22819.57 21226.03 211
new_pmnet88.14 20898.62 20956.70 21498.14 24056.07 224246.79 22215.37 238148.06 22250.77 223143.13 21923.35 23862.65 21993.26 21768.71 26351.38 256
N_pmnet88.14 20898.62 20956.70 21498.14 24056.07 224246.79 22215.37 238148.06 22250.77 223143.13 21923.35 23862.65 21993.26 21768.71 26351.38 256
XFeat-MNN108.16 210124.14 21560.24 21764.71 22265.64 229351.83 23911.05 217228.12 23152.43 225213.52 23413.22 21987.03 225160.49 23021.88 21628.05 213
SP-SuperGlue137.45 236159.15 23972.36 227165.77 26370.44 232521.33 26111.27 219259.68 24853.14 226215.13 23512.16 213113.72 249170.03 23223.81 21832.93 220
ALIKED-MNN111.04 215126.54 21764.54 21979.44 23072.14 233374.82 24011.60 224221.75 22953.64 227210.25 23313.20 21894.25 233152.80 22921.39 21427.22 212
SP-DiffGlue113.82 216130.70 21863.17 21867.00 22466.11 230377.48 24110.96 216236.17 23255.29 228224.34 23712.68 21694.74 234170.89 23321.50 21528.67 214
SP-NN125.71 226143.74 22971.61 22678.54 22965.10 228441.23 24911.20 218269.24 25155.66 229233.01 23912.24 214116.45 252171.30 23421.23 21333.27 222
SIFT-MNN131.73 230151.00 23173.91 228106.70 24580.02 241465.05 25513.45 228253.70 23859.23 230240.68 24415.27 224108.54 244178.34 23626.57 22533.17 221
MTAPA833442.10 3951111233.77 40167.09 22065.59 22364.81 227284.50 22510000000.00 436219.97 22859.62 231229.89 23812.72 217103.00 241203.67 25527.93 22733.46 223
XFeat-NN131.69 229151.90 23271.09 22576.28 22777.98 239462.62 25412.91 227268.06 25060.69 232251.04 24715.36 226105.71 242196.16 24223.96 21929.58 216
SIFT-ConvMatch127.90 227145.81 23074.19 22997.94 23983.95 243423.51 24712.70 226257.99 24061.47 233240.26 24014.41 220107.54 243178.90 23725.10 22231.06 217
ALIKED-LG135.42 231153.61 23480.84 24196.26 23888.69 245452.25 25113.96 230264.04 24962.14 234283.13 25315.44 227116.46 253169.14 23126.17 22437.37 237
SIFT-NN140.61 238162.76 24074.19 229102.05 24379.09 240496.97 25712.66 225286.61 25564.13 235266.77 25215.98 228109.53 245193.75 24125.88 22333.96 224
ALIKED-NN136.32 232155.63 23878.38 24089.85 23786.60 244481.11 25614.33 235272.35 25264.19 236256.34 25115.34 225112.39 248182.65 23924.52 22136.15 226
SP-MNN124.86 225143.22 22869.79 22186.07 23467.38 231447.53 25011.56 223256.60 23964.57 237215.61 23612.66 215110.32 247172.03 23522.35 21731.67 218
SIFT-NN-NCMNet145.54 239166.42 24182.90 245115.73 25892.94 246527.19 26214.03 231285.84 25465.69 238256.06 25016.30 231118.43 254188.39 24028.57 22837.34 236
MP-MVS-pluss833433.63 3941111219.60 40075.70 23174.28 22573.29 234284.50 22511.35 220238.58 23365.86 239255.35 24814.55 221115.69 25010000000.00 42931.94 23238.12 239
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 217133.18 21975.70 23174.28 22573.29 234284.50 22511.35 220238.58 23365.86 239255.35 24814.55 221115.69 250222.18 25831.94 23238.12 239
SIFT-NCMNet150.00 240171.18 24386.47 246118.16 25994.14 249498.85 25814.22 233306.48 25766.28 241288.38 25516.10 229130.24 255202.13 25430.03 23035.03 225
SIFT-UMatch151.81 242172.70 24489.15 247114.65 25696.40 253500.71 25914.32 234311.67 25867.41 242292.77 25716.23 230130.44 256208.85 25627.71 22640.60 246
SIFT-NN-CMatch150.38 241170.73 24289.34 249103.45 24493.34 247519.87 26013.80 229302.14 25668.52 243285.65 25416.39 232137.95 259198.09 25028.65 22936.72 235
CANet110.62 212124.04 21270.34 22282.03 23174.27 236325.54 22925.25 246207.16 22569.28 244194.38 22227.53 24295.79 235147.76 22537.43 23740.97 247
CANet_DTU110.62 212124.04 21270.34 22282.03 23174.27 236325.54 22925.25 246207.16 22569.28 244194.38 22227.53 24295.79 235147.76 22537.43 23740.97 247
UGNet110.62 212124.04 21270.34 22282.03 23174.27 236325.54 22925.25 246207.16 22569.28 244194.38 22227.53 24295.79 235147.76 22537.43 23740.97 247
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 237153.56 23389.49 25086.92 23699.27 254439.85 24820.52 242276.42 25369.62 247249.96 24523.99 240132.59 258180.42 23834.34 23536.61 234
SIFT-NN-UMatch155.66 243177.77 24589.32 248115.42 25793.92 248530.76 26315.24 237312.03 25972.31 248292.83 25816.40 233130.90 257213.19 25731.76 23143.14 251
FMVSNet5124.76 218140.93 22076.26 233107.44 246100.17 255329.88 23227.12 253259.44 24174.30 249204.34 22630.74 24692.41 226196.98 24338.15 24136.19 227
test1124.76 218140.93 22076.26 233107.44 246100.17 255329.88 23227.12 253259.44 24174.30 249204.34 22630.74 24692.41 226196.98 24338.15 24136.19 227
FMVSNet3124.76 218140.93 22076.26 233107.44 246100.17 255329.88 23227.12 253259.44 24174.30 249204.34 22630.74 24692.41 226196.98 24338.15 24136.19 227
FMVSNet2124.76 218140.93 22076.26 233107.44 246100.17 255329.88 23227.12 253259.44 24174.30 249204.34 22630.74 24692.41 226196.98 24338.15 24136.19 227
FMVSNet1124.76 218140.93 22076.26 233107.44 246100.17 255329.88 23227.12 253259.44 24174.30 249204.34 22630.74 24692.41 226196.98 24338.15 24136.19 227
MIMVSNet1124.76 218140.93 22076.26 233107.44 246100.17 255329.88 23227.12 253259.44 24174.30 249204.34 22630.74 24692.41 226196.98 24338.15 24136.19 227
MIMVSNet124.76 218140.93 22076.26 233107.44 246100.17 255329.88 23227.12 253259.44 24174.30 249204.34 22630.74 24692.41 226196.98 24338.15 24136.19 227
SIFT-NN-PointCN174.29 244198.81 246100.73 252135.35 260113.50 262588.55 26424.71 245355.74 26177.37 256290.44 25627.16 241142.66 261248.71 25941.29 25646.03 252
PVSNet_Blended_VisFu136.90 233155.40 23581.40 242111.00 25396.20 250407.00 24425.90 250251.60 23585.10 257240.50 24137.00 25799.90 238199.80 25140.70 25348.10 253
PVSNet_BlendedMVS136.90 233155.40 23581.40 242111.00 25396.20 250407.00 24425.90 250251.60 23585.10 257240.50 24137.00 25799.90 238199.80 25140.70 25348.10 253
PVSNet_Blended136.90 233155.40 23581.40 242111.00 25396.20 250407.00 24425.90 250251.60 23585.10 257240.50 24137.00 25799.90 238199.80 25140.70 25348.10 253
DSMNet-mixed131.33 228143.00 22796.33 25199.00 24281.00 242201.00 21845.00 279335.00 26099.00 260251.00 24638.00 260110.00 246120.00 22499.00 27498.00 265
ELoFTR243.08 248276.98 250141.35 256143.08 261138.37 263830.03 27720.10 241509.87 268106.57 261483.70 26417.51 234225.37 266341.57 26540.42 25260.32 258
BP-MVS1202.65 245232.15 247114.16 253183.40 266141.78 264655.87 26824.69 244372.56 262109.76 262356.89 25947.15 271139.51 260284.15 26154.86 26061.20 259
LoFTR273.51 252310.65 254162.12 257147.25 262160.13 267918.31 28121.42 243586.82 275125.36 263541.95 26620.52 236254.36 272387.55 26846.65 25871.86 261
FE-MVS207.10 246234.26 248125.61 254180.34 265153.23 265635.64 26730.05 261378.38 263127.68 264377.08 26048.95 273154.43 262266.67 26063.56 26169.18 260
GDP-MVS219.79 247249.11 249131.85 255187.15 267155.97 266667.31 26930.57 262398.95 264131.26 265387.86 26158.83 278164.55 263315.00 26265.03 26275.04 262
MatchFormer330.86 256378.56 258187.76 261176.61 264188.47 2701141.98 29925.30 249698.47 285149.83 266667.80 27922.42 237297.22 276470.67 27553.93 25977.59 263
FA-MVS(test-final)261.15 249293.29 251164.72 258236.23 271199.99 273800.05 27542.35 275475.87 267155.47 267470.67 26358.49 277205.24 265319.44 26381.03 26888.93 264
kuosan267.89 251301.05 253168.41 259244.05 272177.28 268667.98 27065.76 285533.41 270157.79 268492.01 265104.69 294226.72 267364.47 26779.31 267101.21 267
DP-MVS264.78 250296.02 252171.04 260191.70 268183.96 269827.10 27678.36 294438.24 266176.64 269435.12 26265.04 281230.52 269334.02 264117.96 28598.64 266
SSC-MVS320.23 254364.09 256188.66 262260.78 275193.84 271975.93 28673.11 290596.72 276185.29 270589.02 27274.47 283246.01 270427.42 27394.06 273126.12 273
WB-MVS316.44 253357.41 255193.51 263257.06 274213.32 276914.45 27949.03 282600.77 277186.42 271634.00 27875.03 284251.35 271411.39 27088.55 270115.87 271
GLUNet-SfM453.02 275518.66 277256.09 277234.58 270255.96 2831607.37 31433.24 266947.74 303191.46 272875.86 29930.56 245398.99 297672.82 30674.28 265113.32 270
MASt3R-SfM432.55 270498.24 276235.48 267246.34 273235.93 2771447.80 30832.85 265924.84 301196.39 273881.24 30133.31 255367.13 290643.29 30178.11 266103.39 268
UWE-MVS-28327.73 255369.67 257201.90 264281.09 282210.75 274832.98 27874.67 293680.98 284198.23 274613.42 275112.56 297259.80 273418.76 271114.35 278135.15 280
dongtai360.45 259401.64 261236.89 270303.10 284262.16 286963.12 28372.78 288622.82 280199.37 275708.06 282130.96 302310.90 279506.46 284108.11 276137.60 282
testing3418.10 267469.06 269265.23 279335.69 289290.63 2891240.88 30493.72 304717.99 287215.31 276811.97 295232.41 341358.74 285458.67 274114.88 279146.32 284
testing11348.86 258393.09 260216.15 265275.24 279239.53 278915.55 28072.35 287679.89 283215.75 277633.79 277118.08 299276.62 274509.56 285117.61 284132.30 275
testing91347.05 257389.92 259218.43 266275.92 280241.43 279923.71 28271.70 286667.65 282217.04 278629.00 276113.33 298281.39 275495.50 277115.45 280132.47 276
WB-MVSnew404.84 265458.00 267245.36 272374.70 298320.27 2951193.74 30272.90 289773.77 293238.30 279688.22 28190.05 287308.59 278532.76 288157.54 299107.21 269
EG-PatchMatch MVS437.03 271493.12 274268.77 280264.80 277260.20 2851491.80 31198.00 308723.20 289238.80 280722.40 28363.10 280382.00 292629.00 297207.00 315164.10 293
RPSCF394.81 264445.63 266242.35 271276.55 281253.63 2811207.27 30390.69 303715.56 286241.57 281684.87 280111.96 296320.02 281548.38 289133.81 290153.39 288
ArgMatch-SfM559.81 283646.64 289299.29 286273.31 278302.88 2901966.31 32032.78 2641178.38 316242.47 2821172.35 31931.59 253476.65 305841.50 31481.11 269118.35 272
PDCNetPlus580.74 284670.05 290312.81 291293.01 283325.34 2972012.58 32240.24 2741291.32 319244.73 2831126.48 31840.08 266476.71 306892.02 31790.03 272136.37 281
UWE-MVS387.98 262438.66 265235.93 268349.32 292257.61 2841081.50 29482.45 298637.74 281257.12 284738.54 284134.25 303308.00 277531.93 287135.11 291142.17 283
testing99408.82 266462.15 268248.86 274322.45 288269.42 2871118.93 29773.26 291719.36 288262.28 285772.10 286150.98 309327.08 282601.98 293137.99 292150.07 286
myMVS_eth3d28418.40 268473.07 270254.39 276261.18 276313.04 2911172.79 30174.16 292929.18 302264.68 286745.72 285139.03 307318.91 280549.18 290121.71 286131.21 274
Syy-MVS370.76 260415.60 263236.25 269310.54 285210.76 275965.13 28498.58 309746.06 290266.26 287788.85 28991.37 288364.76 287357.17 266116.42 281133.22 278
myMVS_eth3d390.90 263437.44 264251.28 275310.54 285255.86 282965.13 28498.58 309746.06 290266.26 287788.85 289154.95 310364.76 287490.19 276116.42 281133.22 278
ETVMVS443.50 274498.07 275279.78 281378.05 301321.57 2961163.68 30087.12 299897.50 300269.81 289822.83 296141.20 308334.53 284568.21 292154.21 294183.26 300
ArgMatch-Sym628.95 290725.61 293338.98 296319.80 287348.01 3012161.93 32334.42 2671349.94 323274.47 2901311.17 32235.52 256536.43 312953.83 31989.37 271132.49 277
testing222430.52 269487.50 273259.56 278379.87 302282.69 2881138.34 29881.30 296880.86 297281.58 291834.27 297135.83 305333.22 283514.90 286140.56 293162.76 290
ADS-MVSNet2443.33 272482.84 271324.79 294434.94 315387.73 3071110.57 29587.69 300887.02 298282.92 292779.29 28798.57 292422.76 302502.40 278162.19 304163.87 291
ADS-MVSNet443.33 272482.84 271324.79 294434.94 315387.73 3071110.57 29587.69 300887.02 298282.92 292779.29 28798.57 292422.76 302502.40 278162.19 304163.87 291
DP-MVS Recon516.25 282581.17 283321.48 293361.02 293429.00 3141995.36 32178.48 295796.20 294283.32 294796.02 29196.78 289382.98 293636.72 299186.66 312152.46 287
MVP-Stereo473.58 276533.67 278293.33 283376.00 299318.00 2921461.00 30996.00 305835.00 295290.00 295804.00 29297.00 290383.00 294688.00 307156.00 296179.00 298
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 276533.67 278293.33 283376.00 299318.00 2921461.00 30996.00 305835.00 295290.00 295804.00 29297.00 290383.00 294688.00 307156.00 296179.00 298
WBMVS655.88 291770.84 296310.98 290391.79 306353.00 3022280.68 32599.17 3121776.79 344301.20 2971123.23 317187.34 327390.28 296620.39 296156.98 298189.66 304
testing3-2489.51 278555.88 281290.42 282362.21 295319.27 2941424.84 30788.81 302964.80 304309.62 298879.13 300174.38 317363.98 286643.82 302155.29 295188.01 302
PatchmatchNetpermissive492.52 279551.22 280316.40 292400.20 309357.90 3041277.10 305115.80 3161034.60 313315.90 299874.00 298155.10 311402.20 299629.50 298158.80 300189.10 303
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
SSC-MVS3.2667.82 293787.71 297308.16 288385.94 304327.65 2981718.51 315117.00 3181942.46 350317.12 3001488.73 334183.89 318404.82 300763.70 309172.02 307192.01 306
UBG667.82 293787.71 297308.16 288385.94 304327.65 2981718.51 315117.00 3181942.46 350317.12 3001488.73 334183.89 318404.82 300763.70 309172.02 307192.01 306
DenseAffine716.23 296826.00 299386.90 300338.46 290383.55 3062528.22 33839.18 2681519.44 335321.65 3021502.70 33638.50 261629.37 3291046.88 33199.01 275147.77 285
DELS-MVS514.57 281587.73 284295.12 285343.03 291328.09 3001540.48 313116.22 317988.59 305325.44 303906.22 302119.86 301365.72 289788.60 311161.09 303191.55 305
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 297870.09 306402.84 301361.88 294411.34 3112666.28 34243.92 2771620.97 339327.84 3041561.61 33942.38 267642.06 3311096.20 340109.69 277155.12 289
ACMH+729.97 2661.38 292754.00 294383.51 298368.96 297376.38 3052483.74 33782.42 2971089.25 314333.39 3051219.68 32066.53 282573.60 322957.86 320184.14 311200.56 308
PMatch-SfM784.39 308906.45 314418.23 303363.55 296413.41 3122750.56 34442.96 2761663.64 340341.27 3061653.81 34042.46 268676.23 3331182.18 343117.60 283165.06 294
tpmvs501.65 280567.42 282304.33 287395.39 307356.32 3031512.04 312216.53 345994.15 306350.16 307804.16 294119.38 300380.98 291555.14 291159.87 302175.69 296
PMatch-Up-SfM815.39 311940.33 316440.56 304382.27 303431.17 3152810.50 34546.03 2801754.44 342360.71 3081728.19 34244.08 269722.27 3351214.00 344122.78 287168.24 295
IterMVS615.05 288691.66 291385.23 299516.40 319454.80 3171863.80 318102.10 3131142.20 315364.10 3091093.20 316135.00 304480.40 307826.90 312181.20 309220.50 310
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 289700.96 292362.78 297426.10 314409.25 3101822.69 317124.42 3281186.23 317366.85 3101079.42 314190.60 329451.78 304930.72 318181.59 310227.30 311
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 312947.65 317444.57 305404.53 311436.79 3162814.72 34648.36 2811757.60 343367.99 3111743.22 34350.35 275719.59 3341218.12 345123.95 288177.32 297
DKM-HiRes889.49 3171027.58 327475.22 315423.85 313483.27 3183121.07 34752.45 2831928.03 349389.91 3121854.07 34650.60 276758.69 3381297.31 348130.95 289183.70 301
new-patchmatchnet766.12 299859.03 303487.38 318595.68 321536.14 3232346.27 327142.51 3331488.08 326422.43 3131361.32 325163.65 314628.60 3271003.74 329207.61 316297.41 325
SixPastTwentyTwo773.62 300869.37 305486.35 317603.45 323547.15 3332532.14 339106.92 3151434.95 325428.08 3141360.56 324165.15 315628.96 328984.09 321209.01 317282.94 322
lessismore_v0569.20 324667.25 342644.68 34296.45 307428.86 3151514.17 337204.21 336756.58 3361061.60 332197.79 314306.34 326
RoMa-HiRes1034.45 3281193.62 331556.95 322500.36 318544.88 3313519.53 34961.60 2842201.60 355461.12 3162254.28 35160.98 279906.83 3441523.88 351159.21 301219.15 309
IterMVS-LS758.94 298856.56 302466.10 314606.60 324546.80 3322309.90 326122.20 3271402.80 324463.50 3171348.20 323192.60 330574.60 3231028.60 330234.60 327276.90 321
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
mvs_anonymous774.90 301882.28 307452.77 306636.50 333537.20 3242348.80 328120.30 3201504.30 327474.40 3181371.10 326186.90 320564.70 3151078.90 333219.30 318256.40 312
casdiffmvspermissive774.90 301882.28 307452.77 306636.50 333537.20 3242348.80 328120.30 3201504.30 327474.40 3181371.10 326186.90 320564.70 3151078.90 333219.30 318256.40 312
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 301882.28 307452.77 306636.50 333537.20 3242348.80 328120.30 3201504.30 327474.40 3181371.10 326186.90 320564.70 3151078.90 333219.30 318256.40 312
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 301882.28 307452.77 306636.50 333537.20 3242348.80 328120.30 3201504.30 327474.40 3181371.10 326186.90 320564.70 3151078.90 333219.30 318256.40 312
baseline1774.90 301882.28 307452.77 306636.50 333537.20 3242348.80 328120.30 3201504.30 327474.40 3181371.10 326186.90 320564.70 3151078.90 333219.30 318256.40 312
casdiffmvs_mvgpermissive774.90 301882.28 307452.77 306636.50 333537.20 3242348.80 328120.30 3201504.30 327474.40 3181371.10 326186.90 320564.70 3151078.90 333219.30 318256.40 312
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 301882.28 307452.77 306636.50 333537.20 3242348.80 328120.30 3201504.30 327474.40 3181371.10 326186.90 320564.70 3151078.90 333219.30 318256.40 312
ACMH993.80 5967.92 3201106.11 330553.33 321494.00 317534.00 3223581.00 350136.00 3301585.00 337478.00 3251871.00 34790.00 285839.00 3401460.00 349260.00 328287.00 323
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet1207.94 6829.56 314937.18 315506.69 319645.55 340585.72 3352477.98 336130.52 3291578.29 336509.50 3261460.01 333194.90 331637.19 3301170.78 342267.07 331297.17 324
Gipumacopyleft689.75 295767.00 295458.00 313613.00 331549.00 3341943.00 319187.00 3421230.00 318518.00 3271092.00 315203.00 335564.00 314892.00 316225.00 325261.00 319
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft863.65 3957.08 3191054.11 328666.00 334401.00 310495.00 3203790.00 352279.00 3471607.00 338521.00 3281745.00 34490.00 2851105.00 358639.00 300415.00 343398.00 339
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
K. test v3877.74 316980.16 319570.46 3251316.85 365813.15 3512565.52 340103.78 3141509.49 334548.33 3291258.90 321219.93 340587.82 3241102.37 341196.30 313310.42 327
GG-mvs-BLEND596.01 326611.29 328600.33 336790.30 272513.12 382552.71 330567.40 267662.54 385531.67 308503.93 280779.80 364656.02 348
gg-mvs-nofinetune594.69 285605.37 285562.67 323617.29 332500.33 321772.30 271413.12 367579.21 271552.71 330567.40 267662.54 385531.67 308503.93 280779.80 364656.02 348
CR-MVSNet612.36 287617.81 288596.01 326611.29 328600.33 336790.30 272513.12 382579.21 271552.71 330567.40 267662.54 385531.67 308503.93 280779.80 364656.02 348
MVSTER890.06 3181005.91 326542.52 320736.13 345653.90 3432616.56 341145.22 3351692.10 341555.69 3331554.72 338266.25 342660.02 3321219.66 346266.84 330313.64 328
ACMP1246.57 71086.24 3291235.17 333639.45 329596.53 322639.91 3413904.24 353152.04 3361851.54 346566.58 3341997.95 349138.50 306938.30 3451605.46 352303.70 337340.14 330
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PVSNet_01661.03 9968.54 3211066.82 329673.70 335706.94 343695.69 3442669.02 343153.52 3372108.17 353605.54 3351679.14 341213.26 339886.75 3431236.76 347229.01 326438.67 341
tmp_tt371.08 261412.78 262246.00 273231.00 269197.00 2721293.00 306376.00 358756.00 292609.00 33671.00 212106.00 295195.00 264102.00 222171.00 306346.00 332
RE-MVS-def610.10 286610.10 326610.10 339610.10 265610.10 391610.10 278610.10 337610.10 273610.10 373610.10 294610.10 347610.10 345
SR-MVS610.10 286610.10 286610.10 328610.10 326610.10 339610.10 265610.10 391610.10 278610.10 337610.10 273610.10 373610.10 325610.10 294610.10 347610.10 345
MSLP-MVS++1242.93 3341411.08 337738.48 339712.71 344712.68 3454168.17 355136.50 3312276.40 356613.28 3392368.60 355161.61 3131130.38 3591964.54 359297.88 334372.39 335
MVS_111021_LR1136.45 3321298.72 335649.64 330756.17 346726.26 3473785.94 351138.15 3322190.64 354629.63 3402064.39 350165.45 316874.83 3421678.43 355279.70 332347.82 333
ACMMPR1296.60 3361480.82 339743.96 340899.25 350763.47 3494305.47 356143.90 3342530.94 359683.99 3412346.34 354201.65 3341098.25 3571920.59 358295.21 333370.16 334
test_04021110.00 3311260.00 334660.00 331900.00 351780.00 3503300.00 348210.00 3442040.00 352690.00 3421950.00 348300.00 346810.00 3391620.00 353330.00 338390.00 338
DeepC-MVS_fast2190.19 121535.59 3391886.82 343481.89 316847.73 347830.16 3527943.84 377189.23 3432398.83 357691.73 3432341.13 353209.16 337230.25 2681999.25 360360.46 339385.25 337
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 3331332.72 336662.07 333584.90 320715.99 3464373.59 357153.99 3381880.27 347709.02 3442316.97 352188.63 328939.89 3461484.30 350302.78 336330.34 329
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
TSAR-MVS + GP.1386.84 3371622.84 341678.81 336952.13 352840.17 3535358.21 361170.75 3402650.47 360713.54 3452394.28 356209.42 338855.56 3411854.36 357302.42 335340.71 331
MG-MVS1256.50 3351432.00 338730.00 338610.00 325760.00 3484720.00 358169.00 3391920.00 348723.00 3462510.00 358201.00 3331050.00 3561645.00 354390.00 341380.00 336
CSCG826.03 313963.29 318414.24 302421.52 312426.11 3132230.35 324179.52 3411827.44 345733.43 347933.12 304281.25 343545.23 3131800.35 356262.64 329271.38 320
FPMVS1407.00 3381495.59 3401141.23 351648.01 341893.85 3554124.00 354503.81 3813219.04 363742.72 3482498.84 357157.98 3121727.83 365832.93 313732.98 363802.00 357
Patchmtry1090.75 3301198.88 332766.38 3411290.90 363485.90 3192423.98 3351267.30 4141297.17 320923.90 349923.40 3031215.54 406990.23 347667.90 303779.80 364823.02 362
PatchT856.34 315860.99 304842.38 3421290.90 363880.90 354790.30 2721267.30 414579.21 271923.90 349567.40 267662.54 385990.23 347887.56 315779.80 364656.02 348
COLMAP_ROBcopyleft2144.59 111658.33 3401869.33 3421025.33 3501030.00 3601023.00 3655311.00 360359.00 3563044.00 361937.00 3512892.00 359332.00 3501440.00 3622312.00 362607.00 346613.00 347
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ambc999.00 343999.00 353999.00 358999.00 287999.00 407999.00 352999.00 305999.00 398999.00 349999.00 322999.00 383999.00 380
OurMVSNet-221017-0999.00 322999.00 320999.00 343999.00 353999.00 358999.00 287999.00 407999.00 307999.00 352999.00 305999.00 398999.00 349999.00 322999.00 383999.00 380
EPMVS999.00 322999.00 320999.00 343999.00 353999.00 358999.00 287999.00 407999.00 307999.00 352999.00 305999.00 398999.00 349999.00 322999.00 383999.00 380
uanet_test1000.00 3241000.00 3221000.00 3461000.00 3561000.00 3611000.00 2901000.00 4101000.00 3091000.00 3551000.00 3081000.00 4011000.00 3521000.00 3251000.00 3861000.00 383
sosnet1000.00 3241000.00 3221000.00 3461000.00 3561000.00 3611000.00 2901000.00 4101000.00 3091000.00 3551000.00 3081000.00 4011000.00 3521000.00 3251000.00 3861000.00 383
USDC1000.00 3241000.00 3221000.00 3461000.00 3561000.00 3611000.00 2901000.00 4101000.00 3091000.00 3551000.00 3081000.00 4011000.00 3521000.00 3251000.00 3861000.00 383
TinyColmap1000.00 3241000.00 3221000.00 3461000.00 3561000.00 3611000.00 2901000.00 4101000.00 3091000.00 3551000.00 3081000.00 4011000.00 3521000.00 3251000.00 3861000.00 383
JIA-IIPM804.30 310835.64 301710.26 337885.90 348895.90 356455.98 252668.73 3961297.17 3201002.26 3591001.67 312655.98 383756.98 337667.90 303885.21 376477.90 342
RPMNet787.26 309829.13 300661.63 332885.90 348895.90 356455.98 252610.10 3911297.17 3201002.26 3591001.67 312655.98 383611.10 326667.90 303885.21 376477.90 342
F-COLMAP1878.17 3412113.11 3441173.33 3541231.00 3611174.00 3666297.00 363392.00 3613356.00 3651087.00 3613082.00 360361.00 3541670.00 3642523.00 364689.00 353676.00 352
PCF-MVS4335.85 202272.23 3472597.03 3501297.84 3551701.20 3701332.37 3678105.11 378451.45 3704031.84 3701099.10 3623966.50 368467.45 3621734.05 3662701.68 367848.94 373827.11 363
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CMPMVSbinary2623.62 151983.08 3432156.14 3451463.89 3641414.80 3671517.00 3715239.20 359867.40 4013310.30 3641128.70 3633489.90 363366.75 3552030.20 3762427.60 3631160.60 395844.46 365
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVScopyleft2352.88 132263.08 3462530.89 3491459.67 3631767.00 3781591.00 3747932.00 376399.00 3623643.00 3661176.00 3643569.00 365297.00 3451927.00 3723302.00 370693.00 358861.00 366
MVS-HIRNet2125.39 3442452.68 3471143.53 3522938.33 4081446.92 3706083.19 362391.74 3603801.71 3681202.10 3653439.72 362492.73 3641304.35 3613048.25 369676.32 352679.32 353
ZD-MVS1584.00 3681821.00 391378.00 3593721.00 3671231.00 3661833.00 345321.00 3491224.00 3602103.00 361692.00 357
DeepPCF-MVS3452.42 182670.71 3553021.57 3571618.12 3662377.67 3941751.39 3878915.70 383567.44 3894569.74 3771236.84 3674615.63 374513.23 3652291.32 3783515.48 374882.39 375811.66 359
PLCcopyleft2858.82 162192.92 3452474.00 3481349.67 3561407.00 3661356.00 3687164.00 368475.00 3743970.00 3691237.00 3683765.00 367451.00 3611891.00 3703006.00 368791.00 369802.00 357
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
Vis-MVSNetpermissive2877.42 3583170.00 3611999.67 3791673.00 3692042.00 3978593.00 381474.00 3736452.00 3941268.00 3695125.00 381339.00 3513004.00 3944222.00 384384.00 340953.00 376
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
DeepC-MVS3917.13 193155.06 3613601.83 3641814.72 3742515.52 3971941.53 39210432.50 398589.42 3904789.45 3781298.65 3707677.31 399578.35 3722589.53 3843611.78 376923.52 378913.10 371
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 3811363.85 3714894.28 378387.23 3562023.43 3733973.88 378620.04 349732.56 354
test07261725.60 3711598.35 3759203.30 384315.86 3505016.02 3811363.85 3714894.28 378387.23 356
SD-MVS2654.53 3543055.56 3591451.45 3611725.60 3711598.35 3759203.30 384315.86 3505016.02 3811363.85 3714894.28 378387.23 3562023.43 3733973.88 378620.04 349732.56 354
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 3512839.56 3541606.00 3651732.00 3741557.00 3738375.00 380483.00 3754370.00 3751371.00 3744200.00 369350.00 3522207.00 3773877.00 377798.00 3701054.00 387
SteuartSystems-ACMMP2891.50 3593284.78 3621711.67 3691954.00 3811655.00 38110117.00 397445.00 3695102.00 3841375.00 3755126.00 382351.00 3532638.00 3904402.00 385691.00 356842.00 364
Skip Steuart: Steuart Systems R&D Blog.
AdaColmapbinary2570.77 3532948.61 3561437.24 3601873.64 3801526.60 3727819.77 375373.97 3574970.45 3791479.29 3764648.46 375525.80 3671904.97 3714150.42 382695.69 359880.14 370
LF4IMVS2699.50 3563049.67 3581649.00 3671755.00 3751689.00 3828330.00 379464.00 3724997.00 3801528.00 3774763.00 377568.00 3712296.00 3794215.00 383827.00 372962.00 377
tpmrst2557.50 3522847.12 3551688.66 3681784.08 3791778.25 3887445.50 374342.14 3534471.54 3761534.55 3784382.10 373530.10 3682361.21 3804142.81 381991.22 381926.51 372
CHOSEN 280x4202340.81 3482643.03 3511434.14 3572025.55 3871629.36 3786542.40 364412.49 3644219.70 3721547.02 3794328.52 370650.74 3801798.26 3673333.17 371727.72 360874.79 367
CHOSEN 1792x26882340.81 3482643.03 3511434.14 3572025.55 3871629.36 3786542.40 364412.49 3644219.70 3721547.02 3794328.52 370650.74 3801798.26 3673333.17 371727.72 360874.79 367
HyFIR lowres test2340.81 3482643.03 3511434.14 3572025.55 3871629.36 3786542.40 364412.49 3644219.70 3721547.02 3794328.52 370650.74 3801798.26 3673333.17 371727.72 360874.79 367
DPM-MVS3268.00 3623762.89 3651783.33 3721756.00 3761806.00 38912319.00 400307.00 3486319.00 3921557.00 3825763.00 384302.00 3472609.00 3865061.00 389482.00 344935.00 374
OPM-MVS3268.00 3623762.89 3651783.33 3721756.00 3761806.00 38912319.00 400307.00 3486319.00 3921557.00 3825763.00 384302.00 3472609.00 3865061.00 389482.00 344935.00 374
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
EGC-MVSNET2819.75 3573096.89 3601988.33 3783105.00 4092241.00 3999480.00 388640.00 3954209.00 3711583.00 3844740.00 376547.00 3702797.00 3922644.00 366924.00 379927.00 373
tpm23617.85 3664007.23 3682449.73 3862012.71 3831698.05 3837351.19 370869.29 4026132.06 3871588.28 3858007.42 4021281.09 4073888.11 4077472.04 4071351.00 3971763.02 403
tpm cat13617.85 3664007.23 3682449.73 3862012.71 3831698.05 3837351.19 370869.29 4026132.06 3871588.28 3858007.42 4021281.09 4073888.11 4077472.04 4071351.00 3971763.02 403
CostFormer3617.85 3664007.23 3682449.73 3862012.71 3831698.05 3837351.19 370869.29 4026132.06 3871588.28 3858007.42 4021281.09 4073888.11 4077472.04 4071351.00 3971763.02 403
tpm3617.85 3664007.23 3682449.73 3862012.71 3831698.05 3837351.19 370869.29 4026132.06 3871588.28 3858007.42 4021281.09 4073888.11 4077472.04 4071351.00 3971763.02 403
DVP-MVS++3981.10 3724731.32 3771730.42 3702191.51 3901949.98 39316473.90 409355.33 3547172.90 4031622.98 3897879.79 400434.33 3592428.11 3825762.12 392689.04 354813.18 360
DVP-MVScopyleft3981.10 3724731.32 3771730.42 3702191.51 3901949.98 39316473.90 409355.33 3547172.90 4031622.98 3897879.79 400434.33 3592428.11 3825762.12 392689.04 354813.18 360
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 3422224.88 3461163.39 3531253.91 3621434.22 3697065.71 367272.76 3462472.29 3581647.54 3913538.72 364200.37 3321496.48 3632575.17 365997.45 382559.48 344
TAPA-MVS6309.84 213374.90 3643806.99 3672078.63 3812535.47 3982499.25 4078816.16 382456.05 3716255.60 3911664.52 3926704.88 389629.95 3782768.38 3916343.93 403856.35 374968.25 378
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 3654065.89 3721914.35 3752349.10 3932141.30 39812362.70 402417.60 3686717.80 3981759.40 3936497.50 387518.18 3662629.38 3895164.32 391806.40 371972.38 379
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 3603537.00 3631975.67 3762310.00 3922005.00 39610100.00 396626.00 3945753.00 3851803.00 3945179.00 383487.00 3632622.00 3884550.00 3861025.00 3901300.00 394
ITE_SJBPF2014.00 3801998.00 3821992.00 395701.00 3975989.00 3861812.00 3953612.00 366650.00 3792852.00 3934601.00 3871195.00 3961198.00 393
MVS_111021_HR3742.80 3704330.34 3731980.20 3772484.31 3962259.52 40014973.80 407515.90 3886500.13 3951949.21 3966146.89 386535.66 3692593.66 3854880.76 388986.37 3801087.43 388
FOURS12643.17 3992465.14 40213996.40 404493.26 3767619.38 4062107.24 397
PC_three_14527619.38 4062107.24 3977416.93 396610.24 3753088.29 3996075.14 3991078.39 3911159.26 389
test_one_06012643.17 3992465.14 402493.26 3767619.38 4062107.24 3977416.93 396610.24 375
SED-MVS4062.74 3754671.13 3762237.56 3822643.17 3992465.14 40213996.40 404493.26 3767619.38 4062107.24 3977416.93 396610.24 3753088.29 3996075.14 3991078.39 3911159.26 389
IU-MVS2725.60 4042598.35 408515.86 3847016.02 3992363.85 4015973.88 3951620.04 4031732.56 399
test_241102_TWO515.86 3847016.02 3992363.85 4016894.28 390887.23 3933023.43 3955973.88 3951620.04 4031732.56 399
test_241102_ONE2725.60 4042598.35 408515.86 3847016.02 3992363.85 4016894.28 390887.23 3933023.43 395
MSP-MVS4296.20 3764911.12 3802451.45 3902725.60 4042598.35 40816203.30 408515.86 3847016.02 3992363.85 4016894.28 390887.23 3933023.43 3955973.88 3951620.04 4031732.56 399
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 3744533.33 3752400.00 3852400.00 3952400.00 4017200.00 3692400.00 4187200.00 4052400.00 4057200.00 3942400.00 4112400.00 3817200.00 4052400.00 4092400.00 408
MAR-MVS3973.16 3714387.92 3742728.86 3923345.27 4113341.39 41511403.90 399798.76 3996555.62 3972569.29 4066514.86 388834.97 3923237.43 4045891.08 3941577.54 4021607.76 395
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 3774906.56 3792803.67 3933844.00 4123116.00 41313454.00 403901.00 4066511.00 3962794.00 4077365.00 395754.00 3893634.00 4056622.00 4041914.00 4081661.00 398
OMC-MVS5022.26 3785748.82 3812842.58 3944905.27 4143101.27 41214933.60 406812.24 4009278.40 4102959.29 4088800.17 4061092.24 4053806.30 4067568.54 4111389.60 4011620.18 397
TestfortrainingZip3151.39 3953151.39 4103151.39 41421344.80 4113151.39 4193151.39 3623151.39 4093151.39 3613151.39 4133151.39 4033151.39 4113151.39 409
LS3D7684.71 3808776.23 3834410.16 3975298.55 4155631.53 41734329.90 4181504.57 41611554.00 4193896.41 41015111.00 415812.19 3905985.63 4123516.20 3752963.23 4101613.31 396
CLD-MVS7338.25 3798341.00 3824330.00 3964902.00 4134991.00 41623318.00 416728.00 39814437.00 4204378.00 41113379.00 414824.00 3915708.00 41111429.00 4201674.00 4072291.00 407
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 38810002.44 39112195.33 4066242.00 4168768.00 41930896.00 4174451.00 42010331.00 4186247.00 41218296.00 416283.00 34421484.00 4217364.00 4065912.00 4136334.00 411
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 38911772.44 3927637.33 3989120.00 4178206.00 41822252.00 4152010.00 41724984.00 4217458.00 41322596.00 4172940.00 41210260.00 42011100.00 4193492.00 4124446.00 410
ZNCC-MVS9999.00 3819999.00 3849999.00 3999999.00 4189999.00 4209999.00 3899999.00 4239999.00 4119999.00 4149999.00 4079999.00 4159999.00 4139999.00 4129999.00 4149999.00 412
patch_mono-210000.00 38210000.00 38510000.00 40010000.00 41910000.00 42110000.00 39010000.00 42410000.00 41210000.00 41510000.00 40810000.00 41610000.00 41410000.00 41310000.00 41510000.00 413
dcpmvs_210000.00 38210000.00 38510000.00 40010000.00 41910000.00 42110000.00 39010000.00 42410000.00 41210000.00 41510000.00 40810000.00 41610000.00 41410000.00 41310000.00 41510000.00 413
DCPMVS10000.00 38210000.00 38510000.00 40010000.00 41910000.00 42110000.00 39010000.00 42410000.00 41210000.00 41510000.00 40810000.00 41610000.00 41410000.00 41310000.00 41510000.00 413
UA-Net10000.00 38210000.00 38510000.00 40010000.00 41910000.00 42110000.00 39010000.00 42410000.00 41210000.00 41510000.00 40810000.00 41610000.00 41410000.00 41310000.00 41510000.00 413
uncertanet10000.00 38210000.00 38510000.00 40010000.00 41910000.00 42110000.00 39010000.00 42410000.00 41210000.00 41510000.00 40810000.00 41610000.00 41410000.00 41310000.00 41510000.00 413
uanet10000.00 38210000.00 38510000.00 40010000.00 41910000.00 42110000.00 39010000.00 42410000.00 41210000.00 41510000.00 40810000.00 41610000.00 41410000.00 41310000.00 41510000.00 413
LTVRE_ROB20565.47 2323378.08 39022805.00 39325097.33 40715500.00 42519201.00 42742712.00 4196055.00 42138388.00 42216926.00 42138534.00 4187071.00 41435653.00 42229475.00 42110584.00 42120438.00 420
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 39134443.44 39427094.33 40829249.00 42625246.00 42851144.00 4206705.00 42242886.00 42322888.00 42248534.00 41913263.00 42237507.00 42379298.00 42216024.00 42218530.00 419
test-26052499999.00 42799999.00 42999999.00 43099999.00 42399999.00 42399999.00 42499999.00 42399999.00 423
114514_t99999.00 39299999.00 39599999.00 40999999.00 42799999.00 42999999.00 42199999.00 43099999.00 42499999.00 42399999.00 42099999.00 42399999.00 42499999.00 42399999.00 42399999.00 421
PHI-MVS99999.00 39299999.00 39599999.00 40999999.00 42799999.00 42999999.00 42199999.00 43099999.00 42499999.00 42399999.00 42099999.00 42399999.00 42499999.00 42399999.00 42399999.00 421
XVG-OURS-SEG-HR999999.00 396999999.00 397999999.00 411999999.00 430999999.00 432999999.00 423999999.00 433999999.00 426999999.00 426999999.00 422999999.00 426999999.00 427999999.00 426999999.00 427999999.00 423
XVG-OURS999999.00 396999999.00 397999999.00 411999999.00 430999999.00 432999999.00 423999999.00 433999999.00 426999999.00 426999999.00 422999999.00 426999999.00 427999999.00 426999999.00 427999999.00 423
XVG-ACMP-BASELINE999999.00 396999999.00 397999999.00 411999999.00 430999999.00 432999999.00 423999999.00 433999999.00 426999999.00 426999999.00 422999999.00 426999999.00 427999999.00 426999999.00 427999999.00 423
PRO-TEST10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
aaatest10000000.00 41410000000.00 43310000000.00 43521344.80 41110000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 43010000000.00 42910000000.00 43010000000.00 426
MED-MVS8343445.32 3997791260.42 40210000000.00 41410000000.00 43310000000.00 43521344.80 41110000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42999999.00 42310000000.00 426
TestfortrainingZip a9168445.40 4008891260.53 40310000000.00 41410000000.00 43310000000.00 43521344.80 41110000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
mamba_040810000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
icg_test_0407_210000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
SSM_0407210000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
SSM_040710000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
IMVS_040710000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
IMVS_040410000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
SSM_040410000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
IMVS_040310000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
SD_040310000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
aaEdge-Enhanced10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
NormalMVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
lecture10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
SymmetryMVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
Elysia10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
StellarMVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
KinetiMVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
LuminaMVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
VortexMVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
AstraMVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
guyue10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
sc_t110000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
tt0320-xc10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
tt032010000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
MVSMamba_PlusPlus10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
MGCFI-Net10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
sasdasda10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
dmvs_re10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
SDMVSNet10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
dmvs_testset10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
sd_testset10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
BridgeMVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
MonoMVSNet10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
test250610000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
test111110000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
ECVR-MVScopyleft10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
test_blank10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
tt080510000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
Anonymous2024052110000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
cl2210000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
miper_ehance_all_eth10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
miper_enhance_ethall10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
cl____10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
DIV-MVS_self_test10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
eth_miper_zixun_eth10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
ET-MVSNet_ETH3D10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
UniMVSNet_ETH3D10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
miper_lstm_enhance10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
D2MVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
test_yl10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
thisisatest053010000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
Anonymous2024052910000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
Anonymous20240521110000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
DCV-MVSNet10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
tttt051710000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
our_test_310000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
thisisatest051510000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
ppachtmachnet_test10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
SMA-MVScopyleft10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
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 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part210000000.00 43310000000.00 43510000000.00 429
thres100view90010000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
tfpnnormal10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
tfpn200view910000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
c3_l10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
IterMVS-SCA-FT10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
pmmvs610000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
pmmvs510000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
Anonymous2023121110000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
pmmvs-eth3d10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
Anonymous2023120610000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
SCA10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
Patchmatch-test10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
Patchmatch-RL test10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
canonicalmvs10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
anonymousdsp10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
FIs10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
FC-MVSNet-test10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
sosnet-low-res10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
AllTest10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
TestCases10000000.00 41410000000.00 43310000000.00 43510000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
RRT-MVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
balanced_ft_v110000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
HPM-MVS++copyleft10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
XVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
pm-mvs110000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
X-MVStestdata10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
APDe-MVScopyleft10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
pmmvs410000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
test-LLR10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
TESTMET0.1,110000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
test-mter10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
testgi10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
test20.0310000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
thres600view710000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
MP-MVScopyleft10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
thres40010000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
test12310000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
thres20010000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
test0.0.03 110000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
pmmvs310000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
EMVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
E-PMN10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
PGM-MVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
MCST-MVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
MVS_Test10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
PMMVS210000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
PM-MVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
HQP_MVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
plane_prior310000000.00 43510000000.00 42910000000.00 429
mPP-MVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
mvsmamba10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
HPM-MVS_fast10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
HPM-MVScopyleft10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
LGP-MVS_train10000000.00 41410000000.00 43310000000.00 43510000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
EPNet_dtu10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP-NCC10000000.00 43310000000.00 42610000000.00 42910000000.00 429
ACMP_Plane10000000.00 43310000000.00 42610000000.00 42910000000.00 429
HQP4-MVS10000000.00 42910000000.00 43010000000.00 426
CNVR-MVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
NCCC10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
CP-MVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
CPTT-MVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
HQP-MVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
IS-MVSNet10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
PAPM_NR10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
PAPR10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
Vis-MVSNet (Re-imp)10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
PatchMatch-RL10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
TDRefinement10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
EPP-MVSNet10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
PMMVS10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
PAPM10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
ACMMPcopyleft10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
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 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
wuyk23d10000000.00 40110000000.00 40410000000.00 41410000000.00 43310000000.00 43510000000.00 42610000000.00 43610000000.00 42910000000.00 42910000000.00 42510000000.00 42910000000.00 43010000000.00 42910000000.00 43010000000.00 426
APD-MVScopyleft1000000000.00 5341000000000.00 5371000000000.00 5521000000000.00 5791000000000.00 5791000000000.00 5641000000000.00 5791000000000.00 5711000000000.00 5721000000000.00 5681000000000.00 5731000000000.00 5731000000000.00 5711000000000.00 5711000000000.00 568
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
PatchmatchNet2copyleft400.00 308400.00 309400.00 243400.00 363400.00 265
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
PatchmatchNet1copyleft400.00 269400.00 342400.00 340
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
PatchmatchNet3copyleft400.00 298
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
WAC-MVS248.46 280422.23 272
MSC_two_6792asdad2237.56 3822643.17 3992465.14 402493.26 3763088.29 3996075.14 3991078.39 3911159.26 389
No_MVS2237.56 3822643.17 3992465.14 402493.26 3763088.29 3996075.14 3991078.39 3911159.26 389
eth-test21.42 140
eth-test10000000.00 433
OPU-MVS2451.45 3902725.60 4042598.35 4089203.30 3846894.28 390887.23 3933023.43 3955973.88 3951620.04 4031732.56 399
save fliter0.00 10.00 10.00 10.00 10.00 1
test_0728_SECOND1451.45 3611725.60 3711598.35 3759203.30 384315.86 3502023.43 3733973.88 378620.04 349732.56 354
GSMVS10000000.00 426
sam_mvs110000000.00 42910000000.00 426
sam_mvs10000000.00 429
MTGPAbinary10000000.00 436
test_post110000000.00 42610000000.00 42510000000.00 42910000000.00 43010000000.00 429
test_post10000000.00 42510000000.00 42910000000.00 430
patchmatchnet-post10000000.00 42510000000.00 42910000000.00 430
MTMP10000000.00 42610000000.00 436
gm-plane-assit611.29 328600.33 336579.21 271567.40 267531.67 308503.93 280
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 43310000000.00 435
plane_prior610000000.00 43310000000.00 43510000000.00 429
plane_prior510000000.00 43610000000.00 43010000000.00 42910000000.00 43010000000.00 426
plane_prior410000000.00 425
plane_prior210000000.00 42610000000.00 429
plane_prior110000000.00 433
plane_prior1.00 1342.00 1722.00 1732.00 171
n214.20 232
nn1.42 142
door-mid1.42 142
test111.00 135
door99.00 311
HQP5-MVS10000000.00 435
BP-MVS10000000.00 429
HQP3-MVS10000000.00 43610000000.00 430
HQP2-MVS10000000.00 429
NP-MVS10000000.00 43310000000.00 43510000000.00 425
ACMMP++_ref10000000.00 430
ACMMP++10000000.00 430
Test By Simon990.00 397