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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
onestephybrid010.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
nocashy020.00 10.00 10.00 10.00 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
cashybrid20.00 10.00 10.00 10.00 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
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
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
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
13140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
QAPM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
h-mvs330.30 920.30 930.30 970.30 1040.30 1040.30 1040.30 1050.30 1040.30 1030.30 1010.30 1030.30 1040.30 1020.30 1020.30 102
hse-mvs20.30 920.30 930.30 970.30 1040.30 1040.30 1040.30 1050.30 1040.30 1030.30 1010.30 1030.30 1040.30 1020.30 1020.30 102
CL-MVSNet_self_test0.30 920.30 930.30 970.30 1040.30 1040.30 1040.30 1050.30 1040.30 1030.30 1010.30 1030.30 1040.30 1020.30 1020.30 102
AUN-MVS0.30 920.30 930.30 970.30 1040.30 1040.30 1040.30 1050.30 1040.30 1030.30 1010.30 1030.30 1040.30 1020.30 1020.30 102
LCM-MVSNet0.37 960.36 970.37 1010.37 1080.37 1080.37 1080.32 1090.37 1080.37 1070.37 1050.37 1070.37 1080.37 1060.37 1060.37 106
v1441920.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v19219200.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v11920.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v11440.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v1480.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v7n0.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v12400.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v80.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v100.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
v2v4820.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
V420.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
GA-MVS0.40 970.40 980.40 1020.40 1090.40 1090.40 1090.40 1110.40 1090.40 1080.40 1060.40 1080.40 1090.40 1070.40 1070.40 107
Fast-Effi-MVS+0.41 1090.40 980.41 1140.41 1210.41 1210.41 1210.35 1100.41 1210.41 1200.41 1180.41 1200.41 1210.41 1190.41 1190.41 119
Fast-Effi-MVS+-dtu0.44 1100.44 1110.44 1150.44 1220.44 1220.44 1220.44 1230.44 1220.44 1210.44 1190.44 1210.44 1220.44 1200.44 1200.44 120
Effi-MVS+0.58 1110.56 1120.62 1180.53 1230.62 1250.53 1230.53 1240.53 1230.62 1240.62 1220.53 1220.62 1250.62 1220.53 1210.62 123
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
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
MDA-MVSNet-bldmvs1.20 1221.20 1231.20 1281.20 1351.20 1361.20 1341.20 1371.20 1351.20 1341.20 1321.20 1341.20 1351.20 1331.20 1331.20 133
YYNet11.20 1221.20 1231.20 1281.20 1351.20 1361.20 1341.20 1371.20 1351.20 1341.20 1321.20 1341.20 1351.20 1331.20 1331.20 133
MDA-MVSNet_test_wron1.20 1221.20 1231.20 1281.20 1351.20 1361.20 1341.20 1371.20 1351.20 1341.20 1321.20 1341.20 1351.20 1331.20 1331.20 133
KD-MVS_2432*16001.30 1251.30 1261.30 1311.30 1381.30 1391.30 1371.30 1401.30 1381.30 1371.30 1351.30 1371.30 1381.30 1361.30 1361.30 136
miper_refine_blended1.30 1251.30 1261.30 1311.30 1381.30 1391.30 1371.30 1401.30 1381.30 1371.30 1351.30 1371.30 1381.30 1361.30 1361.30 136
EI-MVSNet-UG-set1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
EI-MVSNet-Vis-set1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
EI-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
Regformer1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
CVMVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
EU-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
PS-CasMVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
UniMVSNet_NR-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
PEN-MVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
TransMVSNet (Re)1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
DTE-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
DU-MVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
UniMVSNet (Re)1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
CP-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
WR-MVS_H1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
WR-MVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
NR-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
Baseline_NR-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
TranMVSNet+NR-MVSNet1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
MVSFormer1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
jason1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
jason: jason.
lupinMVS1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
test_djsdf1.42 1271.42 1281.42 1331.42 1401.42 1411.42 1391.42 1421.42 1401.42 1391.42 1371.42 1391.42 1401.42 1381.42 1381.42 138
reproduce_monomvs1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
mmtdpeth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
reproduce_model1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
reproduce-ours1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
our_new_method1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
mmdepth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
monomultidepth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
mvs5depth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
MVStest11.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
ttmdpeth1.48 1501.48 1511.48 1561.48 1641.48 1641.48 1621.48 1671.48 1631.48 1621.48 1601.48 1621.48 1631.48 1611.48 1611.48 161
alignmvs2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
nrg0302.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
LFMVS2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VDD-MVS2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VDDNet2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VPNet2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VNet2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
VPA-MVSNet2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
cascas2.00 1602.00 1612.00 1662.00 1742.00 1742.00 1722.00 1772.00 1732.00 1722.00 1702.00 1722.00 1732.00 1712.00 1712.00 171
UnsupCasMVSNet_eth5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
UnsupCasMVSNet_bld5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
WTY-MVS5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
HY-MVS5.90 15.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
sss5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
Test_1112_low_res5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
1112_ss5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
ab-mvs-re5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
ab-mvs5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1895.90 1835.90 1815.90 1795.90 1835.90 1825.90 1805.90 1835.90 183
CDPH-MVS6.66 1786.66 1796.66 1846.66 1926.66 1926.66 1916.66 1986.66 1926.66 1906.66 1886.66 1926.66 1916.66 1896.66 1926.66 192
xiu_mvs_v1_base_debu10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
xiu_mvs_v2_base10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
xiu_mvs_v1_base10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
xiu_mvs_v1_base_debi10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
cdsmvs_eth3d_5k10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
pcd_1.5k_mvsjas10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
PS-MVSNAJss10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
PS-MVSNAJ10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
jajsoiax10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
mvs_tets10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20510.28 19510.28 19410.28 19010.28 19910.28 19410.28 19210.28 19510.28 194
SR-MVS-dyc-post11.55 18911.55 19111.55 19811.55 20511.55 20711.55 20411.55 22111.55 20511.55 20511.55 20011.55 21111.55 20411.55 20211.55 20511.55 204
XXY-MVS15.00 19015.00 19215.00 19915.00 20615.00 20915.00 20515.00 23515.00 20615.00 20715.00 20115.00 22215.00 20615.00 20415.00 20915.00 206
test_method18.29 19120.89 19310.50 19615.00 20613.00 20855.00 2113.00 18734.00 20811.50 20432.50 2025.00 18213.50 20527.00 2065.00 1825.00 182
GeoE19.41 19222.09 19411.37 19717.21 20811.30 20650.50 2104.30 18833.60 20711.70 20644.50 2077.30 19418.90 20722.60 2057.10 1933.90 180
BH-w/o40.00 19340.00 19540.00 20140.00 20940.00 21040.00 20640.00 26640.00 20940.00 21340.00 20340.00 26040.00 20940.00 20740.00 24440.00 238
BH-untuned40.00 19340.00 19540.00 20140.00 20940.00 21040.00 20640.00 26640.00 20940.00 21340.00 20340.00 26040.00 20940.00 20740.00 24440.00 238
BH-RMVSNet40.00 19340.00 19540.00 20140.00 20940.00 21040.00 20640.00 26640.00 20940.00 21340.00 20340.00 26040.00 20940.00 20740.00 24440.00 238
TR-MVS40.00 19340.00 19540.00 20140.00 20940.00 21040.00 20640.00 26640.00 20940.00 21340.00 20340.00 26040.00 20940.00 20740.00 24440.00 238
GBi-Net44.67 19749.24 19930.96 20047.53 21347.57 216126.09 2128.00 20276.99 21326.09 20873.50 20911.27 21030.55 20861.12 21112.58 20614.75 205
SIFT-CM-Cal70.81 19880.73 20041.07 20553.36 21645.50 214238.80 2157.63 200146.46 21536.86 211124.25 2118.43 19557.83 21396.77 21513.98 20719.87 208
SIFT-NCM-Cal72.17 19981.80 20143.26 20653.17 21547.34 215241.27 2167.46 199147.21 21635.86 210128.70 2128.51 19662.68 21699.13 21614.93 20819.77 207
SIFT-UM-Cal75.41 20085.83 20244.16 20752.44 21448.43 217255.64 2197.90 201154.54 21935.49 209135.89 2137.20 19362.85 217106.86 21816.47 21021.20 209
SIFT-PCN-Cal76.63 20186.39 20347.35 20886.31 23048.76 218235.08 21417.15 239145.29 21438.11 212117.96 21018.08 23464.06 21895.58 21423.97 21929.22 214
dp87.20 202113.80 2067.42 18510.50 2048.88 193298.82 2232.70 186510.35 2637.79 191172.93 2163.37 1819.16 19214.00 2033.71 1814.23 181
new_pmnet88.14 20398.62 20456.70 20998.14 23556.07 219246.79 21715.37 237148.06 21750.77 218143.13 21423.35 23762.65 21493.26 21268.71 25851.38 251
N_pmnet88.14 20398.62 20456.70 20998.14 23556.07 219246.79 21715.37 237148.06 21750.77 218143.13 21423.35 23762.65 21493.26 21268.71 25851.38 251
XFeat-MNN108.16 205124.14 21060.24 21264.71 21765.64 224351.83 23411.05 216228.12 22652.43 220213.52 22913.22 21887.03 220160.49 22521.88 21528.05 212
SP-LightGlue108.97 206125.92 21158.13 21178.34 22361.59 221393.69 2379.94 203223.58 22548.33 217199.72 22010.99 20986.77 219149.09 22319.57 21126.03 210
CANet110.62 207124.04 20770.34 21782.03 22674.27 231325.54 22425.25 245207.16 22069.28 239194.38 21727.53 24195.79 230147.76 22037.43 23440.97 243
CANet_DTU110.62 207124.04 20770.34 21782.03 22674.27 231325.54 22425.25 245207.16 22069.28 239194.38 21727.53 24195.79 230147.76 22037.43 23440.97 243
UGNet110.62 207124.04 20770.34 21782.03 22674.27 231325.54 22425.25 245207.16 22069.28 239194.38 21727.53 24195.79 230147.76 22037.43 23440.97 243
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
ALIKED-MNN111.04 210126.54 21264.54 21479.44 22572.14 228374.82 23511.60 223221.75 22453.64 222210.25 22813.20 21794.25 228152.80 22421.39 21327.22 211
SP-DiffGlue113.82 211130.70 21363.17 21367.00 21966.11 225377.48 23610.96 215236.17 22755.29 223224.34 23212.68 21594.74 229170.89 22821.50 21428.67 213
ACMMP_NAP118.81 212133.18 21475.70 22674.28 22073.29 229284.50 22011.35 219238.58 22865.86 234255.35 24314.55 220115.69 245222.18 25331.94 23138.12 236
FMVSNet5124.76 213140.93 21576.26 228107.44 241100.17 250329.88 22727.12 252259.44 23674.30 244204.34 22130.74 24592.41 221196.98 23838.15 23736.19 225
test1124.76 213140.93 21576.26 228107.44 241100.17 250329.88 22727.12 252259.44 23674.30 244204.34 22130.74 24592.41 221196.98 23838.15 23736.19 225
FMVSNet3124.76 213140.93 21576.26 228107.44 241100.17 250329.88 22727.12 252259.44 23674.30 244204.34 22130.74 24592.41 221196.98 23838.15 23736.19 225
FMVSNet2124.76 213140.93 21576.26 228107.44 241100.17 250329.88 22727.12 252259.44 23674.30 244204.34 22130.74 24592.41 221196.98 23838.15 23736.19 225
FMVSNet1124.76 213140.93 21576.26 228107.44 241100.17 250329.88 22727.12 252259.44 23674.30 244204.34 22130.74 24592.41 221196.98 23838.15 23736.19 225
MIMVSNet1124.76 213140.93 21576.26 228107.44 241100.17 250329.88 22727.12 252259.44 23674.30 244204.34 22130.74 24592.41 221196.98 23838.15 23736.19 225
MIMVSNet124.76 213140.93 21576.26 228107.44 241100.17 250329.88 22727.12 252259.44 23674.30 244204.34 22130.74 24592.41 221196.98 23838.15 23736.19 225
SP-MNN124.86 220143.22 22369.79 21686.07 22967.38 226447.53 24411.56 222256.60 23464.57 232215.61 23112.66 214110.32 242172.03 23022.35 21631.67 217
SP-NN125.71 221143.74 22471.61 22178.54 22465.10 223441.23 24311.20 217269.24 24655.66 224233.01 23412.24 213116.45 247171.30 22921.23 21233.27 220
SIFT-ConvMatch127.90 222145.81 22574.19 22497.94 23483.95 238423.51 24112.70 225257.99 23561.47 228240.26 23514.41 219107.54 238178.90 23225.10 22131.06 216
DSMNet-mixed131.33 223143.00 22296.33 24699.00 23781.00 237201.00 21345.00 274335.00 25599.00 255251.00 24138.00 258110.00 241120.00 21999.00 26998.00 260
XFeat-NN131.69 224151.90 22771.09 22076.28 22277.98 234462.62 24812.91 226268.06 24560.69 227251.04 24215.36 225105.71 237196.16 23723.96 21829.58 215
SIFT-MNN131.73 225151.00 22673.91 223106.70 24080.02 236465.05 24913.45 227253.70 23359.23 225240.68 23915.27 223108.54 239178.34 23126.57 22433.17 219
ALIKED-LG135.42 226153.61 22980.84 23696.26 23388.69 240452.25 24513.96 229264.04 24462.14 229283.13 24815.44 226116.46 248169.14 22626.17 22337.37 235
ALIKED-NN136.32 227155.63 23378.38 23589.85 23286.60 239481.11 25014.33 234272.35 24764.19 231256.34 24615.34 224112.39 243182.65 23424.52 22036.15 224
PVSNet_Blended_VisFu136.90 228155.40 23081.40 237111.00 24896.20 245407.00 23825.90 249251.60 23085.10 252240.50 23637.00 25599.90 233199.80 24640.70 24948.10 248
PVSNet_BlendedMVS136.90 228155.40 23081.40 237111.00 24896.20 245407.00 23825.90 249251.60 23085.10 252240.50 23637.00 25599.90 233199.80 24640.70 24948.10 248
PVSNet_Blended136.90 228155.40 23081.40 237111.00 24896.20 245407.00 23825.90 249251.60 23085.10 252240.50 23637.00 25599.90 233199.80 24640.70 24948.10 248
SP-SuperGlue137.45 231159.15 23472.36 222165.77 25870.44 227521.33 25511.27 218259.68 24353.14 221215.13 23012.16 212113.72 244170.03 22723.81 21732.93 218
SIFT-PointCN137.54 232153.56 22889.49 24586.92 23199.27 249439.85 24220.52 241276.42 24869.62 242249.96 24023.99 239132.59 253180.42 23334.34 23336.61 232
SIFT-NN140.61 233162.76 23574.19 224102.05 23879.09 235496.97 25112.66 224286.61 25064.13 230266.77 24715.98 227109.53 240193.75 23625.88 22233.96 222
SIFT-NN-NCMNet145.54 234166.42 23682.90 240115.73 25392.94 241527.19 25614.03 230285.84 24965.69 233256.06 24516.30 230118.43 249188.39 23528.57 22737.34 234
SIFT-NCMNet150.00 235171.18 23886.47 241118.16 25494.14 244498.85 25214.22 232306.48 25266.28 236288.38 25016.10 228130.24 250202.13 24930.03 22935.03 223
SIFT-NN-CMatch150.38 236170.73 23789.34 244103.45 23993.34 242519.87 25413.80 228302.14 25168.52 238285.65 24916.39 231137.95 254198.09 24528.65 22836.72 233
SIFT-UMatch151.81 237172.70 23989.15 242114.65 25196.40 248500.71 25314.32 233311.67 25367.41 237292.77 25216.23 229130.44 251208.85 25127.71 22540.60 242
SIFT-NN-UMatch155.66 238177.77 24089.32 243115.42 25293.92 243530.76 25715.24 236312.03 25472.31 243292.83 25316.40 232130.90 252213.19 25231.76 23043.14 246
SIFT-NN-PointCN174.29 239198.81 241100.73 247135.35 255113.50 257588.55 25824.71 244355.74 25677.37 251290.44 25127.16 240142.66 256248.71 25441.29 25246.03 247
BP-MVS1202.65 240232.15 242114.16 248183.40 261141.78 259655.87 26224.69 243372.56 257109.76 257356.89 25447.15 268139.51 255284.15 25654.86 25561.20 254
FE-MVS207.10 241234.26 243125.61 249180.34 260153.23 260635.64 26130.05 259378.38 258127.68 259377.08 25548.95 269154.43 257266.67 25563.56 25669.18 255
GDP-MVS219.79 242249.11 244131.85 250187.15 262155.97 261667.31 26330.57 260398.95 259131.26 260387.86 25658.83 273164.55 258315.00 25765.03 25775.04 257
ELoFTR243.08 243276.98 245141.35 251143.08 256138.37 258830.03 27120.10 240509.87 262106.57 256483.70 25917.51 233225.37 261341.57 26040.42 24860.32 253
FA-MVS(test-final)261.15 244293.29 246164.72 253236.23 266199.99 268800.05 26942.35 271475.87 261155.47 262470.67 25858.49 272205.24 260319.44 25881.03 26388.93 259
DP-MVS264.78 245296.02 247171.04 255191.70 263183.96 264827.10 27078.36 289438.24 260176.64 264435.12 25765.04 276230.52 264334.02 259117.96 28098.64 261
kuosan267.89 246301.05 248168.41 254244.05 267177.28 263667.98 26465.76 280533.41 264157.79 263492.01 260104.69 289226.72 262364.47 26279.31 262101.21 262
LoFTR273.51 247310.65 249162.12 252147.25 257160.13 262918.31 27521.42 242586.82 269125.36 258541.95 26120.52 235254.36 267387.55 26346.65 25371.86 256
WB-MVS316.44 248357.41 250193.51 258257.06 269213.32 271914.45 27349.03 277600.77 271186.42 266634.00 27375.03 279251.35 266411.39 26488.55 265115.87 266
SSC-MVS320.23 249364.09 251188.66 257260.78 270193.84 266975.93 28073.11 285596.72 270185.29 265589.02 26774.47 278246.01 265427.42 26794.06 268126.12 268
UWE-MVS-28327.73 250369.67 252201.90 259281.09 277210.75 269832.98 27274.67 288680.98 278198.23 269613.42 270112.56 292259.80 268418.76 265114.35 273135.15 275
MatchFormer330.86 251378.56 253187.76 256176.61 259188.47 2651141.98 29325.30 248698.47 279149.83 261667.80 27422.42 236297.22 271470.67 26953.93 25477.59 258
testing91347.05 252389.92 254218.43 261275.92 275241.43 274923.71 27671.70 281667.65 276217.04 273629.00 271113.33 293281.39 270495.50 271115.45 275132.47 271
testing11348.86 253393.09 255216.15 260275.24 274239.53 273915.55 27472.35 282679.89 277215.75 272633.79 272118.08 294276.62 269509.56 279117.61 279132.30 270
dongtai360.45 254401.64 256236.89 265303.10 279262.16 281963.12 27772.78 283622.82 274199.37 270708.06 277130.96 297310.90 274506.46 278108.11 271137.60 277
Syy-MVS370.76 255415.60 258236.25 264310.54 280210.76 270965.13 27898.58 304746.06 284266.26 282788.85 28491.37 283364.76 282357.17 261116.42 276133.22 273
tmp_tt371.08 256412.78 257246.00 268231.00 264197.00 2671293.00 300376.00 353756.00 286609.00 33171.00 208106.00 290195.00 259102.00 217171.00 301346.00 327
UWE-MVS387.98 257438.66 260235.93 263349.32 287257.61 2791081.50 28882.45 293637.74 275257.12 279738.54 279134.25 298308.00 272531.93 281135.11 286142.17 278
myMVS_eth3d390.90 258437.44 259251.28 270310.54 280255.86 277965.13 27898.58 304746.06 284266.26 282788.85 284154.95 305364.76 282490.19 270116.42 276133.22 273
RPSCF394.81 259445.63 261242.35 266276.55 276253.63 2761207.27 29790.69 298715.56 280241.57 276684.87 275111.96 291320.02 276548.38 283133.81 285153.39 283
WB-MVSnew404.84 260458.00 262245.36 267374.70 293320.27 2901193.74 29672.90 284773.77 287238.30 274688.22 27690.05 282308.59 273532.76 282157.54 294107.21 264
testing99408.82 261462.15 263248.86 269322.45 283269.42 2821118.93 29173.26 286719.36 282262.28 280772.10 281150.98 304327.08 277601.98 287137.99 287150.07 281
testing3418.10 262469.06 264265.23 274335.69 284290.63 2841240.88 29893.72 299717.99 281215.31 271811.97 290232.41 336358.74 280458.67 268114.88 274146.32 279
myMVS_eth3d28418.40 263473.07 265254.39 271261.18 271313.04 2861172.79 29574.16 287929.18 296264.68 281745.72 280139.03 302318.91 275549.18 284121.71 281131.21 269
testing222430.52 264487.50 268259.56 273379.87 297282.69 2831138.34 29281.30 291880.86 291281.58 286834.27 292135.83 300333.22 278514.90 280140.56 288162.76 285
MASt3R-SfM432.55 265498.24 271235.48 262246.34 268235.93 2721447.80 30232.85 262924.84 295196.39 268881.24 29633.31 253367.13 285643.29 29578.11 261103.39 263
EG-PatchMatch MVS437.03 266493.12 269268.77 275264.80 272260.20 2801491.80 30598.00 303723.20 283238.80 275722.40 27863.10 275382.00 287629.00 291207.00 310164.10 288
ADS-MVSNet2443.33 267482.84 266324.79 289434.94 309387.73 3021110.57 28987.69 295887.02 292282.92 287779.29 28298.57 287422.76 296502.40 272162.19 299163.87 286
ADS-MVSNet443.33 267482.84 266324.79 289434.94 309387.73 3021110.57 28987.69 295887.02 292282.92 287779.29 28298.57 287422.76 296502.40 272162.19 299163.87 286
ETVMVS443.50 269498.07 270279.78 276378.05 296321.57 2911163.68 29487.12 294897.50 294269.81 284822.83 291141.20 303334.53 279568.21 286154.21 289183.26 295
GLUNet-SfM453.02 270518.66 272256.09 272234.58 265255.96 2781607.37 30833.24 263947.74 297191.46 267875.86 29430.56 244398.99 292672.82 30074.28 260113.32 265
MVP-Stereo473.58 271533.67 273293.33 278376.00 294318.00 2871461.00 30396.00 300835.00 289290.00 290804.00 28797.00 285383.00 289688.00 301156.00 291179.00 293
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 271533.67 273293.33 278376.00 294318.00 2871461.00 30396.00 300835.00 289290.00 290804.00 28797.00 285383.00 289688.00 301156.00 291179.00 293
testing3-2489.51 273555.88 276290.42 277362.21 290319.27 2891424.84 30188.81 297964.80 298309.62 293879.13 295174.38 312363.98 281643.82 296155.29 290188.01 297
PatchmatchNetpermissive492.52 274551.22 275316.40 287400.20 303357.90 2991277.10 299115.80 3111034.60 307315.90 294874.00 293155.10 306402.20 293629.50 292158.80 295189.10 298
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmvs501.65 275567.42 277304.33 282395.39 302356.32 2981512.04 306216.53 340994.15 300350.16 302804.16 289119.38 295380.98 286555.14 285159.87 297175.69 291
DELS-MVS514.57 276587.73 279295.12 280343.03 286328.09 2951540.48 307116.22 312988.59 299325.44 298906.22 297119.86 296365.72 284788.60 305161.09 298191.55 300
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
DP-MVS Recon516.25 277581.17 278321.48 288361.02 288429.00 3081995.36 31578.48 290796.20 288283.32 289796.02 28696.78 284382.98 288636.72 293186.66 307152.46 282
ArgMatch-SfM559.81 278646.64 284299.29 281273.31 273302.88 2851966.31 31432.78 2611178.38 310242.47 2771172.35 31431.59 252476.65 299841.50 30881.11 264118.35 267
PDCNetPlus580.74 279670.05 285312.81 286293.01 278325.34 2922012.58 31640.24 2701291.32 313244.73 2781126.48 31340.08 264476.71 300892.02 31190.03 267136.37 276
gg-mvs-nofinetune594.69 280605.37 280562.67 318617.29 326500.33 315772.30 265413.12 361579.21 265552.71 325567.40 262662.54 380531.67 302503.93 274779.80 358656.02 342
SR-MVS610.10 281610.10 281610.10 323610.10 320610.10 333610.10 259610.10 385610.10 272610.10 332610.10 268610.10 368610.10 319610.10 288610.10 341610.10 339
CR-MVSNet612.36 282617.81 283596.01 321611.29 322600.33 330790.30 266513.12 376579.21 265552.71 325567.40 262662.54 380531.67 302503.93 274779.80 358656.02 342
IterMVS615.05 283691.66 286385.23 294516.40 313454.80 3111863.80 312102.10 3081142.20 309364.10 3041093.20 311135.00 299480.40 301826.90 306181.20 304220.50 305
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 284700.96 287362.78 292426.10 308409.25 3041822.69 311124.42 3231186.23 311366.85 3051079.42 309190.60 324451.78 298930.72 312181.59 305227.30 306
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
ArgMatch-Sym628.95 285725.61 288338.98 291319.80 282348.01 2962161.93 31734.42 2641349.94 317274.47 2851311.17 31735.52 254536.43 306953.83 31389.37 266132.49 272
WBMVS655.88 286770.84 291310.98 285391.79 301353.00 2972280.68 31999.17 3071776.79 338301.20 2921123.23 312187.34 322390.28 291620.39 290156.98 293189.66 299
ACMH+729.97 2661.38 287754.00 289383.51 293368.96 292376.38 3002483.74 33182.42 2921089.25 308333.39 3001219.68 31566.53 277573.60 316957.86 314184.14 306200.56 303
SSC-MVS3.2667.82 288787.71 292308.16 283385.94 299327.65 2931718.51 309117.00 3131942.46 344317.12 2951488.73 329183.89 313404.82 294763.70 303172.02 302192.01 301
UBG667.82 288787.71 292308.16 283385.94 299327.65 2931718.51 309117.00 3131942.46 344317.12 2951488.73 329183.89 313404.82 294763.70 303172.02 302192.01 301
Gipumacopyleft689.75 290767.00 290458.00 308613.00 325549.00 3281943.00 313187.00 3371230.00 312518.00 3221092.00 310203.00 330564.00 308892.00 310225.00 320261.00 314
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
DenseAffine716.23 291826.00 294386.90 295338.46 285383.55 3012528.22 33239.18 2651519.44 329321.65 2971502.70 33138.50 259629.37 3231046.88 32599.01 270147.77 280
DKM753.27 292870.09 301402.84 296361.88 289411.34 3052666.28 33643.92 2731620.97 333327.84 2991561.61 33442.38 265642.06 3251096.20 334109.69 272155.12 284
IterMVS-LS758.94 293856.56 297466.10 309606.60 318546.80 3262309.90 320122.20 3221402.80 318463.50 3121348.20 318192.60 325574.60 3171028.60 324234.60 322276.90 316
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
new-patchmatchnet766.12 294859.03 298487.38 313595.68 315536.14 3172346.27 321142.51 3281488.08 320422.43 3081361.32 320163.65 309628.60 3211003.74 323207.61 311297.41 320
SixPastTwentyTwo773.62 295869.37 300486.35 312603.45 317547.15 3272532.14 333106.92 3101434.95 319428.08 3091360.56 319165.15 310628.96 322984.09 315209.01 312282.94 317
mvs_anonymous774.90 296882.28 302452.77 301636.50 327537.20 3182348.80 322120.30 3151504.30 321474.40 3131371.10 321186.90 315564.70 3091078.90 327219.30 313256.40 307
casdiffmvspermissive774.90 296882.28 302452.77 301636.50 327537.20 3182348.80 322120.30 3151504.30 321474.40 3131371.10 321186.90 315564.70 3091078.90 327219.30 313256.40 307
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 296882.28 302452.77 301636.50 327537.20 3182348.80 322120.30 3151504.30 321474.40 3131371.10 321186.90 315564.70 3091078.90 327219.30 313256.40 307
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 296882.28 302452.77 301636.50 327537.20 3182348.80 322120.30 3151504.30 321474.40 3131371.10 321186.90 315564.70 3091078.90 327219.30 313256.40 307
baseline1774.90 296882.28 302452.77 301636.50 327537.20 3182348.80 322120.30 3151504.30 321474.40 3131371.10 321186.90 315564.70 3091078.90 327219.30 313256.40 307
casdiffmvs_mvgpermissive774.90 296882.28 302452.77 301636.50 327537.20 3182348.80 322120.30 3151504.30 321474.40 3131371.10 321186.90 315564.70 3091078.90 327219.30 313256.40 307
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 296882.28 302452.77 301636.50 327537.20 3182348.80 322120.30 3151504.30 321474.40 3131371.10 321186.90 315564.70 3091078.90 327219.30 313256.40 307
PMatch-SfM784.39 303906.45 309418.23 298363.55 291413.41 3062750.56 33842.96 2721663.64 334341.27 3011653.81 33542.46 266676.23 3271182.18 337117.60 278165.06 289
RPMNet787.26 304829.13 295661.63 327885.90 342895.90 350455.98 246610.10 3851297.17 3141002.26 3541001.67 307655.98 378611.10 320667.90 297885.21 370477.90 336
JIA-IIPM804.30 305835.64 296710.26 332885.90 342895.90 350455.98 246668.73 3901297.17 3141002.26 3541001.67 307655.98 378756.98 331667.90 297885.21 370477.90 336
PMatch-Up-SfM815.39 306940.33 311440.56 299382.27 298431.17 3092810.50 33946.03 2751754.44 336360.71 3031728.19 33744.08 267722.27 3291214.00 338122.78 282168.24 290
RoMa-SfM821.88 307947.65 312444.57 300404.53 305436.79 3102814.72 34048.36 2761757.60 337367.99 3061743.22 33850.35 270719.59 3281218.12 339123.95 283177.32 292
CSCG826.03 308963.29 313414.24 297421.52 306426.11 3072230.35 318179.52 3361827.44 339733.43 342933.12 299281.25 338545.23 3071800.35 350262.64 324271.38 315
PVSNet1207.94 6829.56 309937.18 310506.69 314645.55 334585.72 3292477.98 330130.52 3241578.29 330509.50 3211460.01 328194.90 326637.19 3241170.78 336267.07 326297.17 319
PatchT856.34 310860.99 299842.38 3371290.90 357880.90 348790.30 2661267.30 408579.21 265923.90 344567.40 262662.54 380990.23 341887.56 309779.80 358656.02 342
K. test v3877.74 311980.16 314570.46 3201316.85 359813.15 3452565.52 334103.78 3091509.49 328548.33 3241258.90 316219.93 335587.82 3181102.37 335196.30 308310.42 322
DKM-HiRes889.49 3121027.58 322475.22 310423.85 307483.27 3123121.07 34152.45 2781928.03 343389.91 3071854.07 34150.60 271758.69 3321297.31 342130.95 284183.70 296
MVSTER890.06 3131005.91 321542.52 315736.13 339653.90 3372616.56 335145.22 3301692.10 335555.69 3281554.72 333266.25 337660.02 3261219.66 340266.84 325313.64 323
PMVScopyleft863.65 3957.08 3141054.11 323666.00 329401.00 304495.00 3143790.00 346279.00 3421607.00 332521.00 3231745.00 33990.00 2801105.00 352639.00 294415.00 337398.00 334
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ACMH993.80 5967.92 3151106.11 325553.33 316494.00 311534.00 3163581.00 344136.00 3251585.00 331478.00 3201871.00 34290.00 280839.00 3341460.00 343260.00 323287.00 318
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet_01661.03 9968.54 3161066.82 324673.70 330706.94 337695.69 3382669.02 337153.52 3322108.17 347605.54 3301679.14 336213.26 334886.75 3371236.76 341229.01 321438.67 335
OurMVSNet-221017-0999.00 317999.00 315999.00 338999.00 347999.00 352999.00 281999.00 401999.00 301999.00 347999.00 300999.00 393999.00 343999.00 316999.00 377999.00 374
EPMVS999.00 317999.00 315999.00 338999.00 347999.00 352999.00 281999.00 401999.00 301999.00 347999.00 300999.00 393999.00 343999.00 316999.00 377999.00 374
uanet_test1000.00 3191000.00 3171000.00 3411000.00 3501000.00 3551000.00 2841000.00 4041000.00 3031000.00 3501000.00 3031000.00 3961000.00 3461000.00 3191000.00 3801000.00 377
sosnet1000.00 3191000.00 3171000.00 3411000.00 3501000.00 3551000.00 2841000.00 4041000.00 3031000.00 3501000.00 3031000.00 3961000.00 3461000.00 3191000.00 3801000.00 377
USDC1000.00 3191000.00 3171000.00 3411000.00 3501000.00 3551000.00 2841000.00 4041000.00 3031000.00 3501000.00 3031000.00 3961000.00 3461000.00 3191000.00 3801000.00 377
TinyColmap1000.00 3191000.00 3171000.00 3411000.00 3501000.00 3551000.00 2841000.00 4041000.00 3031000.00 3501000.00 3031000.00 3961000.00 3461000.00 3191000.00 3801000.00 377
RoMa-HiRes1034.45 3231193.62 326556.95 317500.36 312544.88 3253519.53 34361.60 2792201.60 349461.12 3112254.28 34660.98 274906.83 3381523.88 345159.21 296219.15 304
ACMP1246.57 71086.24 3241235.17 328639.45 324596.53 316639.91 3353904.24 347152.04 3311851.54 340566.58 3291997.95 344138.50 301938.30 3391605.46 346303.70 332340.14 325
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Patchmtry1090.75 3251198.88 327766.38 3361290.90 357485.90 3132423.98 3291267.30 4081297.17 314923.90 344923.40 2981215.54 401990.23 341667.90 297779.80 358823.02 356
test_04021110.00 3261260.00 329660.00 326900.00 345780.00 3443300.00 342210.00 3392040.00 346690.00 3371950.00 343300.00 341810.00 3331620.00 347330.00 333390.00 333
MVS_111021_LR1136.45 3271298.72 330649.64 325756.17 340726.26 3413785.94 345138.15 3272190.64 348629.63 3352064.39 345165.45 311874.83 3361678.43 349279.70 327347.82 328
ACMM1311.08 81165.06 3281332.72 331662.07 328584.90 314715.99 3404373.59 351153.99 3331880.27 341709.02 3392316.97 347188.63 323939.89 3401484.30 344302.78 331330.34 324
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++1242.93 3291411.08 332738.48 334712.71 338712.68 3394168.17 349136.50 3262276.40 350613.28 3342368.60 350161.61 3081130.38 3531964.54 353297.88 329372.39 330
MG-MVS1256.50 3301432.00 333730.00 333610.00 319760.00 3424720.00 352169.00 3341920.00 342723.00 3412510.00 353201.00 3281050.00 3501645.00 348390.00 336380.00 331
ACMMPR1296.60 3311480.82 334743.96 335899.25 344763.47 3434305.47 350143.90 3292530.94 353683.99 3362346.34 349201.65 3291098.25 3511920.59 352295.21 328370.16 329
TSAR-MVS + GP.1386.84 3321622.84 336678.81 331952.13 346840.17 3475358.21 355170.75 3352650.47 354713.54 3402394.28 351209.42 333855.56 3351854.36 351302.42 330340.71 326
FPMVS1407.00 3331495.59 3351141.23 346648.01 335893.85 3494124.00 348503.81 3753219.04 357742.72 3432498.84 352157.98 3071727.83 359832.93 307732.98 357802.00 351
DeepC-MVS_fast2190.19 121535.59 3341886.82 338481.89 311847.73 341830.16 3467943.84 371189.23 3382398.83 351691.73 3382341.13 348209.16 332230.25 2631999.25 354360.46 334385.25 332
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
COLMAP_ROBcopyleft2144.59 111658.33 3351869.33 3371025.33 3451030.00 3541023.00 3595311.00 354359.00 3513044.00 355937.00 3462892.00 354332.00 3451440.00 3562312.00 356607.00 340613.00 341
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 3362113.11 3391173.33 3491231.00 3551174.00 3606297.00 357392.00 3563356.00 3591087.00 3563082.00 355361.00 3491670.00 3582523.00 358689.00 347676.00 346
OpenMVS_ROBcopyleft1936.51 101959.51 3372224.88 3411163.39 3481253.91 3561434.22 3637065.71 361272.76 3412472.29 3521647.54 3863538.72 359200.37 3271496.48 3572575.17 359997.45 376559.48 338
CMPMVSbinary2623.62 151983.08 3382156.14 3401463.89 3591414.80 3611517.00 3655239.20 353867.40 3953310.30 3581128.70 3583489.90 358366.75 3502030.20 3702427.60 3571160.60 389844.46 359
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MVS-HIRNet2125.39 3392452.68 3421143.53 3472938.33 4021446.92 3646083.19 356391.74 3553801.71 3621202.10 3603439.72 357492.73 3591304.35 3553048.25 363676.32 346679.32 347
PLCcopyleft2858.82 162192.92 3402474.00 3431349.67 3511407.00 3601356.00 3627164.00 362475.00 3683970.00 3631237.00 3633765.00 362451.00 3561891.00 3643006.00 362791.00 363802.00 351
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVScopyleft2352.88 132263.08 3412530.89 3441459.67 3581767.00 3721591.00 3687932.00 370399.00 3573643.00 3601176.00 3593569.00 360297.00 3401927.00 3663302.00 364693.00 352861.00 360
PCF-MVS4335.85 202272.23 3422597.03 3451297.84 3501701.20 3641332.37 3618105.11 372451.45 3644031.84 3641099.10 3573966.50 363467.45 3571734.05 3602701.68 361848.94 367827.11 357
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x4202340.81 3432643.03 3461434.14 3522025.55 3811629.36 3726542.40 358412.49 3584219.70 3661547.02 3744328.52 365650.74 3751798.26 3613333.17 365727.72 354874.79 361
CHOSEN 1792x26882340.81 3432643.03 3461434.14 3522025.55 3811629.36 3726542.40 358412.49 3584219.70 3661547.02 3744328.52 365650.74 3751798.26 3613333.17 365727.72 354874.79 361
HyFIR lowres test2340.81 3432643.03 3461434.14 3522025.55 3811629.36 3726542.40 358412.49 3584219.70 3661547.02 3744328.52 365650.74 3751798.26 3613333.17 365727.72 354874.79 361
3Dnovator2482.06 142531.17 3462839.56 3491606.00 3601732.00 3681557.00 3678375.00 374483.00 3694370.00 3691371.00 3694200.00 364350.00 3472207.00 3713877.00 371798.00 3641054.00 381
tpmrst2557.50 3472847.12 3501688.66 3631784.08 3731778.25 3827445.50 368342.14 3484471.54 3701534.55 3734382.10 368530.10 3632361.21 3744142.81 375991.22 375926.51 366
AdaColmapbinary2570.77 3482948.61 3511437.24 3551873.64 3741526.60 3667819.77 369373.97 3524970.45 3731479.29 3714648.46 370525.80 3621904.97 3654150.42 376695.69 353880.14 364
SD-MVS2654.53 3493055.56 3541451.45 3561725.60 3651598.35 3699203.30 378315.86 3455016.02 3751363.85 3664894.28 373387.23 3512023.43 3673973.88 372620.04 343732.56 348
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
DeepPCF-MVS3452.42 182670.71 3503021.57 3521618.12 3612377.67 3881751.39 3818915.70 377567.44 3834569.74 3711236.84 3624615.63 369513.23 3602291.32 3723515.48 368882.39 369811.66 353
LF4IMVS2699.50 3513049.67 3531649.00 3621755.00 3691689.00 3768330.00 373464.00 3664997.00 3741528.00 3724763.00 372568.00 3662296.00 3734215.00 377827.00 366962.00 371
EGC-MVSNET2819.75 3523096.89 3551988.33 3733105.00 4032241.00 3939480.00 382640.00 3894209.00 3651583.00 3794740.00 371547.00 3652797.00 3862644.00 360924.00 373927.00 367
Vis-MVSNetpermissive2877.42 3533170.00 3561999.67 3741673.00 3632042.00 3918593.00 375474.00 3676452.00 3881268.00 3645125.00 376339.00 3463004.00 3884222.00 378384.00 335953.00 370
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2891.50 3543284.78 3571711.67 3641954.00 3751655.00 37510117.00 391445.00 3635102.00 3781375.00 3705126.00 377351.00 3482638.00 3844402.00 379691.00 350842.00 358
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 3553537.00 3581975.67 3712310.00 3862005.00 39010100.00 390626.00 3885753.00 3791803.00 3895179.00 378487.00 3582622.00 3824550.00 3801025.00 3841300.00 388
DeepC-MVS3917.13 193155.06 3563601.83 3591814.72 3692515.52 3911941.53 38610432.50 392589.42 3844789.45 3721298.65 3657677.31 394578.35 3672589.53 3783611.78 370923.52 372913.10 365
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DPM-MVS3268.00 3573762.89 3601783.33 3671756.00 3701806.00 38312319.00 394307.00 3436319.00 3861557.00 3775763.00 379302.00 3422609.00 3805061.00 383482.00 338935.00 368
OPM-MVS3268.00 3573762.89 3601783.33 3671756.00 3701806.00 38312319.00 394307.00 3436319.00 3861557.00 3775763.00 379302.00 3422609.00 3805061.00 383482.00 338935.00 368
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TAPA-MVS6309.84 213374.90 3593806.99 3622078.63 3762535.47 3922499.25 4018816.16 376456.05 3656255.60 3851664.52 3876704.88 384629.95 3732768.38 3856343.93 397856.35 368968.25 372
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 3604065.89 3671914.35 3702349.10 3872141.30 39212362.70 396417.60 3626717.80 3921759.40 3886497.50 382518.18 3612629.38 3835164.32 385806.40 365972.38 373
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
tpm23617.85 3614007.23 3632449.73 3812012.71 3771698.05 3777351.19 364869.29 3966132.06 3811588.28 3808007.42 3971281.09 4023888.11 4017472.04 4011351.00 3911763.02 397
tpm cat13617.85 3614007.23 3632449.73 3812012.71 3771698.05 3777351.19 364869.29 3966132.06 3811588.28 3808007.42 3971281.09 4023888.11 4017472.04 4011351.00 3911763.02 397
CostFormer3617.85 3614007.23 3632449.73 3812012.71 3771698.05 3777351.19 364869.29 3966132.06 3811588.28 3808007.42 3971281.09 4023888.11 4017472.04 4011351.00 3911763.02 397
tpm3617.85 3614007.23 3632449.73 3812012.71 3771698.05 3777351.19 364869.29 3966132.06 3811588.28 3808007.42 3971281.09 4023888.11 4017472.04 4011351.00 3911763.02 397
MVS_111021_HR3742.80 3654330.34 3681980.20 3722484.31 3902259.52 39414973.80 401515.90 3826500.13 3891949.21 3916146.89 381535.66 3642593.66 3794880.76 382986.37 3741087.43 382
MAR-MVS3973.16 3664387.92 3692728.86 3873345.27 4053341.39 40911403.90 393798.76 3936555.62 3912569.29 4016514.86 383834.97 3873237.43 3985891.08 3881577.54 3961607.76 389
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
DVP-MVS++3981.10 3674731.32 3721730.42 3652191.51 3841949.98 38716473.90 403355.33 3497172.90 3971622.98 3847879.79 395434.33 3542428.11 3765762.12 386689.04 348813.18 354
DVP-MVScopyleft3981.10 3674731.32 3721730.42 3652191.51 3841949.98 38716473.90 403355.33 3497172.90 3971622.98 3847879.79 395434.33 3542428.11 3765762.12 386689.04 348813.18 354
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
GST-MVS4000.00 3694533.33 3702400.00 3802400.00 3892400.00 3957200.00 3632400.00 4127200.00 3992400.00 4007200.00 3892400.00 4062400.00 3757200.00 3992400.00 4032400.00 402
SED-MVS4062.74 3704671.13 3712237.56 3772643.17 3932465.14 39613996.40 398493.26 3707619.38 4002107.24 3927416.93 391610.24 3703088.29 3936075.14 3931078.39 3851159.26 383
MSP-MVS4296.20 3714911.12 3752451.45 3852725.60 3982598.35 40216203.30 402515.86 3787016.02 3932363.85 3966894.28 385887.23 3883023.43 3895973.88 3891620.04 3971732.56 393
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
API-MVS4380.83 3724906.56 3742803.67 3883844.00 4063116.00 40713454.00 397901.00 4006511.00 3902794.00 4027365.00 390754.00 3843634.00 3996622.00 3981914.00 4021661.00 392
OMC-MVS5022.26 3735748.82 3762842.58 3894905.27 4083101.27 40614933.60 400812.24 3949278.40 4042959.29 4038800.17 4011092.24 4003806.30 4007568.54 4051389.60 3951620.18 391
CLD-MVS7338.25 3748341.00 3774330.00 3914902.00 4074991.00 41023318.00 410728.00 39214437.00 4144378.00 40613379.00 409824.00 3865708.00 40511429.00 4141674.00 4012291.00 401
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 3758776.23 3784410.16 3925298.55 4095631.53 41134329.90 4121504.57 41011554.00 4133896.41 40515111.00 410812.19 3855985.63 4063516.20 3692963.23 4041613.31 390
ZNCC-MVS9999.00 3769999.00 3799999.00 3949999.00 4129999.00 4149999.00 3839999.00 4179999.00 4059999.00 4099999.00 4029999.00 4109999.00 4079999.00 4069999.00 4089999.00 406
patch_mono-210000.00 37710000.00 38010000.00 39510000.00 41310000.00 41510000.00 38410000.00 41810000.00 40610000.00 41010000.00 40310000.00 41110000.00 40810000.00 40710000.00 40910000.00 407
dcpmvs_210000.00 37710000.00 38010000.00 39510000.00 41310000.00 41510000.00 38410000.00 41810000.00 40610000.00 41010000.00 40310000.00 41110000.00 40810000.00 40710000.00 40910000.00 407
DCPMVS10000.00 37710000.00 38010000.00 39510000.00 41310000.00 41510000.00 38410000.00 41810000.00 40610000.00 41010000.00 40310000.00 41110000.00 40810000.00 40710000.00 40910000.00 407
UA-Net10000.00 37710000.00 38010000.00 39510000.00 41310000.00 41510000.00 38410000.00 41810000.00 40610000.00 41010000.00 40310000.00 41110000.00 40810000.00 40710000.00 40910000.00 407
uncertanet10000.00 37710000.00 38010000.00 39510000.00 41310000.00 41510000.00 38410000.00 41810000.00 40610000.00 41010000.00 40310000.00 41110000.00 40810000.00 40710000.00 40910000.00 407
uanet10000.00 37710000.00 38010000.00 39510000.00 41310000.00 41510000.00 38410000.00 41810000.00 40610000.00 41010000.00 40310000.00 41110000.00 40810000.00 40710000.00 40910000.00 407
MVEpermissive10021.00 2210550.67 38310002.44 38612195.33 4016242.00 4108768.00 41330896.00 4114451.00 41410331.00 4126247.00 40718296.00 411283.00 33921484.00 4157364.00 4005912.00 4076334.00 405
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 38411772.44 3877637.33 3939120.00 4118206.00 41222252.00 4092010.00 41124984.00 4157458.00 40822596.00 4122940.00 40710260.00 41411100.00 4133492.00 4064446.00 404
LTVRE_ROB20565.47 2323378.08 38522805.00 38825097.33 40215500.00 41919201.00 42142712.00 4136055.00 41538388.00 41616926.00 41638534.00 4137071.00 40935653.00 41629475.00 41510584.00 41520438.00 414
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 38634443.44 38927094.33 40329249.00 42025246.00 42251144.00 4146705.00 41642886.00 41722888.00 41748534.00 41413263.00 41737507.00 41779298.00 41616024.00 41618530.00 413
114514_t99999.00 38799999.00 39099999.00 40499999.00 42199999.00 42399999.00 41599999.00 42499999.00 41899999.00 41899999.00 41599999.00 41899999.00 41899999.00 41799999.00 41799999.00 415
PHI-MVS99999.00 38799999.00 39099999.00 40499999.00 42199999.00 42399999.00 41599999.00 42499999.00 41899999.00 41899999.00 41599999.00 41899999.00 41899999.00 41799999.00 41799999.00 415
MP-MVS-pluss833433.63 3891111219.60 39575.70 22674.28 22073.29 229284.50 22011.35 219238.58 22865.86 234255.35 24314.55 220115.69 24510000000.00 42331.94 23138.12 236
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MTAPA833442.10 3901111233.77 39667.09 21565.59 21864.81 222284.50 22010000000.00 430219.97 22359.62 226229.89 23312.72 216103.00 236203.67 25027.93 22633.46 221
XVG-OURS-SEG-HR999999.00 391999999.00 392999999.00 406999999.00 424999999.00 426999999.00 417999999.00 427999999.00 420999999.00 421999999.00 417999999.00 421999999.00 421999999.00 420999999.00 421999999.00 417
XVG-OURS999999.00 391999999.00 392999999.00 406999999.00 424999999.00 426999999.00 417999999.00 427999999.00 420999999.00 421999999.00 417999999.00 421999999.00 421999999.00 420999999.00 421999999.00 417
XVG-ACMP-BASELINE999999.00 391999999.00 392999999.00 406999999.00 424999999.00 426999999.00 417999999.00 427999999.00 420999999.00 421999999.00 417999999.00 421999999.00 421999999.00 420999999.00 421999999.00 417
MED-MVS8343445.32 3947791260.42 39710000000.00 40910000000.00 42710000000.00 42921344.80 40510000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42399999.00 41710000000.00 420
TestfortrainingZip a9168445.40 3958891260.53 39810000000.00 40910000000.00 42710000000.00 42921344.80 40510000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
mamba_040810000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
icg_test_0407_210000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
SSM_0407210000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
SSM_040710000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
IMVS_040710000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
IMVS_040410000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
SSM_040410000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
IMVS_040310000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
SD_040310000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
ME-MVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
NormalMVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
lecture10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
SymmetryMVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
Elysia10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
StellarMVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
KinetiMVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
LuminaMVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
VortexMVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
AstraMVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
guyue10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
sc_t110000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
tt0320-xc10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
tt032010000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
MVSMamba_PlusPlus10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
MGCFI-Net10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
sasdasda10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
dmvs_re10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
SDMVSNet10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
dmvs_testset10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
sd_testset10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
BridgeMVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
MonoMVSNet10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
test250610000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
test111110000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
ECVR-MVScopyleft10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
test_blank10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
tt080510000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
Anonymous2024052110000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
cl2210000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
miper_ehance_all_eth10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
miper_enhance_ethall10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
cl____10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
DIV-MVS_self_test10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
eth_miper_zixun_eth10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
ET-MVSNet_ETH3D10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
UniMVSNet_ETH3D10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
miper_lstm_enhance10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
D2MVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
test_yl10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
thisisatest053010000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
Anonymous2024052910000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
Anonymous20240521110000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
DCV-MVSNet10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
tttt051710000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
our_test_310000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
thisisatest051510000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
ppachtmachnet_test10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
SMA-MVScopyleft10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
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 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
tfpnnormal10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
tfpn200view910000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
c3_l10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
IterMVS-SCA-FT10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
pmmvs610000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
pmmvs510000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
Anonymous2023121110000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
pmmvs-eth3d10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
Anonymous2023120610000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
SCA10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
Patchmatch-test10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
Patchmatch-RL test10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
canonicalmvs10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
anonymousdsp10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
FIs10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
FC-MVSNet-test10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
sosnet-low-res10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
AllTest10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
RRT-MVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
balanced_ft_v110000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
HPM-MVS++copyleft10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
XVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
pm-mvs110000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
X-MVStestdata10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
APDe-MVScopyleft10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
pmmvs410000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
test-LLR10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
TESTMET0.1,110000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
test-mter10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
testgi10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
test20.0310000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
thres600view710000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
MP-MVScopyleft10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
thres40010000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
test12310000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
thres20010000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
test0.0.03 110000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
pmmvs310000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
EMVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
E-PMN10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
PGM-MVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
MCST-MVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
MVS_Test10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
PMMVS210000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
PM-MVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
HQP_MVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
mPP-MVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
mvsmamba10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
HPM-MVS_fast10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
HPM-MVScopyleft10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
EPNet_dtu10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
NCCC10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
CP-MVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
CPTT-MVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
HQP-MVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
IS-MVSNet10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
PAPM_NR10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
PAPR10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
Vis-MVSNet (Re-imp)10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
PatchMatch-RL10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
TDRefinement10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
EPP-MVSNet10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
PMMVS10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
PAPM10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
ACMMPcopyleft10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
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 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
wuyk23d10000000.00 39610000000.00 39910000000.00 40910000000.00 42710000000.00 42910000000.00 42010000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
APD-MVScopyleft1000000000.00 5281000000000.00 5311000000000.00 5461000000000.00 5721000000000.00 5721000000000.00 5571000000000.00 5721000000000.00 5641000000000.00 5661000000000.00 5621000000000.00 5671000000000.00 5661000000000.00 5641000000000.00 5641000000000.00 561
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
test-26052499999.00 42199999.00 42399999.00 42499999.00 41899999.00 41899999.00 41899999.00 41799999.00 417
MED-MVS test10000000.00 40910000000.00 42710000000.00 42921344.80 40510000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42310000000.00 42410000000.00 420
TestfortrainingZip3151.39 3903151.39 4043151.39 40821344.80 4053151.39 4133151.39 3563151.39 4043151.39 3563151.39 4083151.39 3973151.39 4053151.39 403
WAC-MVS248.46 275422.23 266
FOURS12643.17 3932465.14 39613996.40 398493.26 3707619.38 4002107.24 392
MSC_two_6792asdad2237.56 3772643.17 3932465.14 396493.26 3703088.29 3936075.14 3931078.39 3851159.26 383
PC_three_14527619.38 4002107.24 3927416.93 391610.24 3703088.29 3936075.14 3931078.39 3851159.26 383
No_MVS2237.56 3772643.17 3932465.14 396493.26 3703088.29 3936075.14 3931078.39 3851159.26 383
test_one_06012643.17 3932465.14 396493.26 3707619.38 4002107.24 3927416.93 391610.24 370
eth-test21.42 140
eth-test10000000.00 427
ZD-MVS1584.00 3621821.00 385378.00 3543721.00 3611231.00 3611833.00 340321.00 3441224.00 3542103.00 355692.00 351
RE-MVS-def610.10 281610.10 320610.10 333610.10 259610.10 385610.10 272610.10 332610.10 268610.10 368610.10 288610.10 341610.10 339
IU-MVS2725.60 3982598.35 402515.86 3787016.02 3932363.85 3965973.88 3891620.04 3971732.56 393
OPU-MVS2451.45 3852725.60 3982598.35 4029203.30 3786894.28 385887.23 3883023.43 3895973.88 3891620.04 3971732.56 393
test_241102_TWO515.86 3787016.02 3932363.85 3966894.28 385887.23 3883023.43 3895973.88 3891620.04 3971732.56 393
test_241102_ONE2725.60 3982598.35 402515.86 3787016.02 3932363.85 3966894.28 385887.23 3883023.43 389
9.140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
save fliter0.00 10.00 10.00 10.00 10.00 1
test_0728_THIRD5016.02 3751363.85 3664894.28 373387.23 3512023.43 3673973.88 372620.04 343732.56 348
test_0728_SECOND1451.45 3561725.60 3651598.35 3699203.30 378315.86 3452023.43 3673973.88 372620.04 343732.56 348
test07261725.60 3651598.35 3699203.30 378315.86 3455016.02 3751363.85 3664894.28 373387.23 351
GSMVS10000000.00 420
test_part210000000.00 42710000000.00 42910000000.00 424
sam_mvs110000000.00 42410000000.00 420
sam_mvs10000000.00 424
ambc999.00 338999.00 347999.00 352999.00 281999.00 401999.00 347999.00 300999.00 393999.00 343999.00 316999.00 377999.00 374
MTGPAbinary10000000.00 430
test_post110000000.00 42010000000.00 42010000000.00 42410000000.00 42410000000.00 423
test_post10000000.00 42010000000.00 42410000000.00 424
patchmatchnet-post10000000.00 42010000000.00 42410000000.00 424
GG-mvs-BLEND596.01 321611.29 322600.33 330790.30 266513.12 376552.71 325567.40 262662.54 380531.67 302503.93 274779.80 358656.02 342
MTMP10000000.00 42010000000.00 430
gm-plane-assit611.29 322600.33 330579.21 265567.40 262531.67 302503.93 274
test9_res0.00 10.00 10.00 1
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
agg_prior0.00 10.00 10.00 10.00 10.00 1
TestCases10000000.00 40910000000.00 42710000000.00 42910000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
test_prior40.00 10.00 1
test_prior20.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_prior0.00 10.00 10.00 10.00 10.00 10.00 1
旧先验20.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
新几何10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
旧先验10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
无先验0.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM20.00 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
testdata20.00 10.00 1
segment_acmp0.00 1
testdata0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata10.00 10.00 1
test120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
plane_prior710000000.00 42710000000.00 429
plane_prior610000000.00 42710000000.00 42910000000.00 424
plane_prior510000000.00 43010000000.00 42410000000.00 42310000000.00 42410000000.00 420
plane_prior410000000.00 420
plane_prior310000000.00 42910000000.00 42310000000.00 424
plane_prior210000000.00 42010000000.00 423
plane_prior110000000.00 427
plane_prior1.00 1342.00 1722.00 1732.00 171
n214.20 231
nn1.42 142
door-mid1.42 142
lessismore_v0569.20 319667.25 336644.68 33696.45 302428.86 3101514.17 332204.21 331756.58 3301061.60 326197.79 309306.34 321
LGP-MVS_train10000000.00 40910000000.00 42710000000.00 42910000000.00 43010000000.00 42310000000.00 42410000000.00 42010000000.00 42410000000.00 42410000000.00 42310000000.00 42410000000.00 420
test111.00 135
door99.00 306
HQP5-MVS10000000.00 429
HQP-NCC10000000.00 42710000000.00 42010000000.00 42310000000.00 424
ACMP_Plane10000000.00 42710000000.00 42010000000.00 42310000000.00 424
BP-MVS10000000.00 423
HQP4-MVS10000000.00 42410000000.00 42410000000.00 420
HQP3-MVS10000000.00 43010000000.00 424
HQP2-MVS10000000.00 424
NP-MVS10000000.00 42710000000.00 42910000000.00 420
MDTV_nov1_ep13_2view9.99 1949.99 1929.99 1939.99 1929.99 1979.99 1909.99 193
MDTV_nov1_ep139.99 1809.99 1939.99 1949.99 1929.99 2049.99 1939.99 1929.99 1899.99 1979.99 1939.99 1909.99 194
ACMMP++_ref10000000.00 424
ACMMP++10000000.00 424
Test By Simon990.00 392
ITE_SJBPF2014.00 3751998.00 3761992.00 389701.00 3915989.00 3801812.00 3903612.00 361650.00 3742852.00 3874601.00 3811195.00 3901198.00 387
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