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
viewmambapermissive0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
hybridnocas070.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
Casviewmambapermissive0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
dtuonlycased0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
dtuonly0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
dtuplus0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
hybridcas0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
hybrid0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
casdiffseed4146921470.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
gbinet_0.2-2-1-0.020.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
0.3-1-1-0.0150.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
0.4-1-1-0.10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
0.4-1-1-0.20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
wanda-best-256-5120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_dtu_shiyan20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_dtu_shiyan10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blended_shiyan80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E5new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-blended-shiyan70.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E6new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blended_shiyan60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_blend_shiyan50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blend_shiyan40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E3new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_100.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt070.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt090.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt130.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewcassd2359sk110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmacassd2359aftdt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmsd2359difaftdt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
diffmvs_AUTHOR0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmambaseed2359dif0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmanbaseed2359cas0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_70.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n_20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf0.1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf0.01_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmvis_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsm_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_cas_vis1_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
mvsany_test10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
APD_test10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_rt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis3_rt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
mvsany_test30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testf10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
APD_test20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_f0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
SF-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
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 1915.90 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 1915.90 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 1915.90 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 1915.90 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 1915.90 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 1915.90 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 1915.90 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 1915.90 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 1915.90 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 2006.66 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 20710.28 19510.28 19410.28 19010.28 20110.28 19410.28 19210.28 19610.28 194
xiu_mvs_v2_base10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20710.28 19510.28 19410.28 19010.28 20110.28 19410.28 19210.28 19610.28 194
xiu_mvs_v1_base10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20710.28 19510.28 19410.28 19010.28 20110.28 19410.28 19210.28 19610.28 194
xiu_mvs_v1_base_debi10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20710.28 19510.28 19410.28 19010.28 20110.28 19410.28 19210.28 19610.28 194
cdsmvs_eth3d_5k10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20710.28 19510.28 19410.28 19010.28 20110.28 19410.28 19210.28 19610.28 194
pcd_1.5k_mvsjas10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20710.28 19510.28 19410.28 19010.28 20110.28 19410.28 19210.28 19610.28 194
PS-MVSNAJss10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20710.28 19510.28 19410.28 19010.28 20110.28 19410.28 19210.28 19610.28 194
PS-MVSNAJ10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20710.28 19510.28 19410.28 19010.28 20110.28 19410.28 19210.28 19610.28 194
jajsoiax10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20710.28 19510.28 19410.28 19010.28 20110.28 19410.28 19210.28 19610.28 194
mvs_tets10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20710.28 19510.28 19410.28 19010.28 20110.28 19410.28 19210.28 19610.28 194
SR-MVS-dyc-post11.55 18911.55 19111.55 19811.55 20511.55 20711.55 20411.55 22311.55 20511.55 20511.55 20011.55 21311.55 20411.55 20211.55 20611.55 204
XXY-MVS15.00 19015.00 19215.00 19915.00 20615.00 20915.00 20515.00 23715.00 20615.00 20715.00 20115.00 22415.00 20615.00 20415.00 21115.00 208
test_method18.29 19120.89 19310.50 19615.00 20613.00 20855.00 2153.00 18734.00 20811.50 20432.50 2025.00 18213.50 20527.00 2065.00 1825.00 182
GeoE19.41 19222.09 19411.37 19717.21 20811.30 20650.50 2144.30 18833.60 20711.70 20644.50 2107.30 19418.90 20722.60 2057.10 1933.90 180
FBQ-MVS38.39 19343.19 20324.02 20137.02 21134.75 211121.94 2175.25 18970.28 21721.93 20864.99 2129.39 19725.38 20948.89 2158.98 19411.93 205
VLMVS39.38 19439.70 19538.39 20343.20 21841.62 21635.73 20839.21 27035.81 20946.46 22142.92 20831.86 25536.19 21146.03 21236.10 23737.37 238
nomal-139.76 19545.28 20423.20 20036.57 21032.48 21098.95 2165.50 19084.74 21928.76 21076.23 21510.18 20024.51 20854.61 21612.00 20712.60 206
BH-w/o40.00 19640.00 19640.00 20540.00 21340.00 21240.00 20940.00 27140.00 21140.00 21540.00 20440.00 26340.00 21240.00 20740.00 24940.00 243
BH-untuned40.00 19640.00 19640.00 20540.00 21340.00 21240.00 20940.00 27140.00 21140.00 21540.00 20440.00 26340.00 21240.00 20740.00 24940.00 243
BH-RMVSNet40.00 19640.00 19640.00 20540.00 21340.00 21240.00 20940.00 27140.00 21140.00 21540.00 20440.00 26340.00 21240.00 20740.00 24940.00 243
TR-MVS40.00 19640.00 19640.00 20540.00 21340.00 21240.00 20940.00 27140.00 21140.00 21540.00 20440.00 26340.00 21240.00 20740.00 24940.00 243
MVS_baseline40.71 20040.62 20040.98 20935.83 20941.70 21740.69 21330.01 26140.17 21544.54 21947.62 21147.49 27341.26 21646.59 21332.67 23539.99 242
VLMVS_CLIP41.36 20142.10 20239.14 20439.32 21243.30 21834.99 20744.38 27940.53 21645.84 22039.32 20349.12 27541.40 21747.27 21438.10 24132.71 220
MVS_clip42.12 20241.02 20145.43 21341.55 21747.24 22034.87 20631.91 26439.23 21047.00 22243.77 20945.79 27145.96 21841.07 21143.97 25843.09 251
GBi-Net44.67 20349.24 20530.96 20247.53 21947.57 222126.09 2188.00 20476.99 21826.09 20973.50 21411.27 21230.55 21061.12 21712.58 20814.75 207
SIFT-CM-Cal70.81 20480.73 20641.07 21053.36 22245.50 219238.80 2217.63 202146.46 22136.86 213124.25 2178.43 19557.83 21996.77 22113.98 20919.87 210
SIFT-NCM-Cal72.17 20581.80 20743.26 21153.17 22147.34 221241.27 2227.46 201147.21 22235.86 212128.70 2188.51 19662.68 22299.13 22214.93 21019.77 209
SIFT-UM-Cal75.41 20685.83 20844.16 21252.44 22048.43 223255.64 2257.90 203154.54 22535.49 211135.89 2197.20 19362.85 223106.86 22416.47 21221.20 211
SIFT-PCN-Cal76.63 20786.39 20947.35 21486.31 23648.76 224235.08 22017.15 241145.29 22038.11 214117.96 21618.08 23664.06 22495.58 22023.97 22129.22 216
dp87.20 208113.80 2127.42 18510.50 2048.88 193298.82 2292.70 186510.35 2707.79 191172.93 2223.37 1819.16 19214.00 2033.71 1814.23 181
new_pmnet88.14 20998.62 21056.70 21598.14 24156.07 225246.79 22315.37 239148.06 22350.77 224143.13 22023.35 23962.65 22093.26 21868.71 26451.38 257
N_pmnet88.14 20998.62 21056.70 21598.14 24156.07 225246.79 22315.37 239148.06 22350.77 224143.13 22023.35 23962.65 22093.26 21868.71 26451.38 257
XFeat-MNN108.16 211124.14 21660.24 21864.71 22365.64 230351.83 24011.05 218228.12 23252.43 226213.52 23513.22 22087.03 226160.49 23121.88 21728.05 214
SP-LightGlue108.97 212125.92 21758.13 21778.34 22961.59 227393.69 2439.94 205223.58 23148.33 223199.72 22610.99 21186.77 225149.09 22919.57 21326.03 212
CANet110.62 213124.04 21370.34 22382.03 23274.27 237325.54 23025.25 247207.16 22669.28 245194.38 22327.53 24395.79 236147.76 22637.43 23840.97 248
CANet_DTU110.62 213124.04 21370.34 22382.03 23274.27 237325.54 23025.25 247207.16 22669.28 245194.38 22327.53 24395.79 236147.76 22637.43 23840.97 248
UGNet110.62 213124.04 21370.34 22382.03 23274.27 237325.54 23025.25 247207.16 22669.28 245194.38 22327.53 24395.79 236147.76 22637.43 23840.97 248
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 216126.54 21864.54 22079.44 23172.14 234374.82 24111.60 225221.75 23053.64 228210.25 23413.20 21994.25 234152.80 23021.39 21527.22 213
SP-DiffGlue113.82 217130.70 21963.17 21967.00 22566.11 231377.48 24210.96 217236.17 23355.29 229224.34 23812.68 21794.74 235170.89 23421.50 21628.67 215
ACMMP_NAP118.81 218133.18 22075.70 23274.28 22673.29 235284.50 22611.35 221238.58 23465.86 240255.35 24914.55 222115.69 251222.18 25931.94 23338.12 240
FMVSNet5124.76 219140.93 22176.26 234107.44 247100.17 256329.88 23327.12 254259.44 24274.30 250204.34 22730.74 24792.41 227196.98 24438.15 24236.19 228
test1124.76 219140.93 22176.26 234107.44 247100.17 256329.88 23327.12 254259.44 24274.30 250204.34 22730.74 24792.41 227196.98 24438.15 24236.19 228
FMVSNet3124.76 219140.93 22176.26 234107.44 247100.17 256329.88 23327.12 254259.44 24274.30 250204.34 22730.74 24792.41 227196.98 24438.15 24236.19 228
FMVSNet2124.76 219140.93 22176.26 234107.44 247100.17 256329.88 23327.12 254259.44 24274.30 250204.34 22730.74 24792.41 227196.98 24438.15 24236.19 228
FMVSNet1124.76 219140.93 22176.26 234107.44 247100.17 256329.88 23327.12 254259.44 24274.30 250204.34 22730.74 24792.41 227196.98 24438.15 24236.19 228
MIMVSNet1124.76 219140.93 22176.26 234107.44 247100.17 256329.88 23327.12 254259.44 24274.30 250204.34 22730.74 24792.41 227196.98 24438.15 24236.19 228
MIMVSNet124.76 219140.93 22176.26 234107.44 247100.17 256329.88 23327.12 254259.44 24274.30 250204.34 22730.74 24792.41 227196.98 24438.15 24236.19 228
SP-MNN124.86 226143.22 22969.79 22286.07 23567.38 232447.53 25111.56 224256.60 24064.57 238215.61 23712.66 216110.32 248172.03 23622.35 21831.67 219
SP-NN125.71 227143.74 23071.61 22778.54 23065.10 229441.23 25011.20 219269.24 25255.66 230233.01 24012.24 215116.45 253171.30 23521.23 21433.27 223
SIFT-ConvMatch127.90 228145.81 23174.19 23097.94 24083.95 244423.51 24812.70 227257.99 24161.47 234240.26 24114.41 221107.54 244178.90 23825.10 22331.06 218
DSMNet-mixed131.33 229143.00 22896.33 25299.00 24381.00 243201.00 21945.00 280335.00 26199.00 261251.00 24738.00 261110.00 247120.00 22599.00 27598.00 266
XFeat-NN131.69 230151.90 23371.09 22676.28 22877.98 240462.62 25512.91 228268.06 25160.69 233251.04 24815.36 227105.71 243196.16 24323.96 22029.58 217
SIFT-MNN131.73 231151.00 23273.91 229106.70 24680.02 242465.05 25613.45 229253.70 23959.23 231240.68 24515.27 225108.54 245178.34 23726.57 22633.17 222
ALIKED-LG135.42 232153.61 23580.84 24296.26 23988.69 246452.25 25213.96 231264.04 25062.14 235283.13 25415.44 228116.46 254169.14 23226.17 22537.37 238
ALIKED-NN136.32 233155.63 23978.38 24189.85 23886.60 245481.11 25714.33 236272.35 25364.19 237256.34 25215.34 226112.39 249182.65 24024.52 22236.15 227
PVSNet_Blended_VisFu136.90 234155.40 23681.40 243111.00 25496.20 251407.00 24525.90 251251.60 23685.10 258240.50 24237.00 25899.90 239199.80 25240.70 25448.10 254
PVSNet_BlendedMVS136.90 234155.40 23681.40 243111.00 25496.20 251407.00 24525.90 251251.60 23685.10 258240.50 24237.00 25899.90 239199.80 25240.70 25448.10 254
PVSNet_Blended136.90 234155.40 23681.40 243111.00 25496.20 251407.00 24525.90 251251.60 23685.10 258240.50 24237.00 25899.90 239199.80 25240.70 25448.10 254
SP-SuperGlue137.45 237159.15 24072.36 228165.77 26470.44 233521.33 26211.27 220259.68 24953.14 227215.13 23612.16 214113.72 250170.03 23323.81 21932.93 221
SIFT-PointCN137.54 238153.56 23489.49 25186.92 23799.27 255439.85 24920.52 243276.42 25469.62 248249.96 24623.99 241132.59 259180.42 23934.34 23636.61 235
SIFT-NN140.61 239162.76 24174.19 230102.05 24479.09 241496.97 25812.66 226286.61 25664.13 236266.77 25315.98 229109.53 246193.75 24225.88 22433.96 225
SIFT-NN-NCMNet145.54 240166.42 24282.90 246115.73 25992.94 247527.19 26314.03 232285.84 25565.69 239256.06 25116.30 232118.43 255188.39 24128.57 22937.34 237
SIFT-NCMNet150.00 241171.18 24486.47 247118.16 26094.14 250498.85 25914.22 234306.48 25866.28 242288.38 25616.10 230130.24 256202.13 25530.03 23135.03 226
SIFT-NN-CMatch150.38 242170.73 24389.34 250103.45 24593.34 248519.87 26113.80 230302.14 25768.52 244285.65 25516.39 233137.95 260198.09 25128.65 23036.72 236
SIFT-UMatch151.81 243172.70 24589.15 248114.65 25796.40 254500.71 26014.32 235311.67 25967.41 243292.77 25816.23 231130.44 257208.85 25727.71 22740.60 247
SIFT-NN-UMatch155.66 244177.77 24689.32 249115.42 25893.92 249530.76 26415.24 238312.03 26072.31 249292.83 25916.40 234130.90 258213.19 25831.76 23243.14 252
SIFT-NN-PointCN174.29 245198.81 247100.73 253135.35 261113.50 263588.55 26524.71 246355.74 26277.37 257290.44 25727.16 242142.66 262248.71 26041.29 25746.03 253
BP-MVS1202.65 246232.15 248114.16 254183.40 267141.78 265655.87 26924.69 245372.56 263109.76 263356.89 26047.15 272139.51 261284.15 26254.86 26161.20 260
FE-MVS207.10 247234.26 249125.61 255180.34 266153.23 266635.64 26830.05 262378.38 264127.68 265377.08 26148.95 274154.43 263266.67 26163.56 26269.18 261
GDP-MVS219.79 248249.11 250131.85 256187.15 268155.97 267667.31 27030.57 263398.95 265131.26 266387.86 26258.83 279164.55 264315.00 26365.03 26375.04 263
ELoFTR243.08 249276.98 251141.35 257143.08 262138.37 264830.03 27820.10 242509.87 269106.57 262483.70 26517.51 235225.37 267341.57 26640.42 25360.32 259
FA-MVS(test-final)261.15 250293.29 252164.72 259236.23 272199.99 274800.05 27642.35 276475.87 268155.47 268470.67 26458.49 278205.24 266319.44 26481.03 26988.93 265
DP-MVS264.78 251296.02 253171.04 261191.70 269183.96 270827.10 27778.36 295438.24 267176.64 270435.12 26365.04 282230.52 270334.02 265117.96 28698.64 267
kuosan267.89 252301.05 254168.41 260244.05 273177.28 269667.98 27165.76 286533.41 271157.79 269492.01 266104.69 295226.72 268364.47 26879.31 268101.21 268
LoFTR273.51 253310.65 255162.12 258147.25 263160.13 268918.31 28221.42 244586.82 276125.36 264541.95 26720.52 237254.36 273387.55 26946.65 25971.86 262
WB-MVS316.44 254357.41 256193.51 264257.06 275213.32 277914.45 28049.03 283600.77 278186.42 272634.00 27975.03 285251.35 272411.39 27188.55 271115.87 272
SSC-MVS320.23 255364.09 257188.66 263260.78 276193.84 272975.93 28773.11 291596.72 277185.29 271589.02 27374.47 284246.01 271427.42 27494.06 274126.12 274
UWE-MVS-28327.73 256369.67 258201.90 265281.09 283210.75 275832.98 27974.67 294680.98 285198.23 275613.42 276112.56 298259.80 274418.76 272114.35 279135.15 281
MatchFormer330.86 257378.56 259187.76 262176.61 265188.47 2711141.98 30025.30 250698.47 286149.83 267667.80 28022.42 238297.22 277470.67 27653.93 26077.59 264
testing91347.05 258389.92 260218.43 267275.92 281241.43 280923.71 28371.70 287667.65 283217.04 279629.00 277113.33 299281.39 276495.50 278115.45 281132.47 277
testing11348.86 259393.09 261216.15 266275.24 280239.53 279915.55 28172.35 288679.89 284215.75 278633.79 278118.08 300276.62 275509.56 286117.61 285132.30 276
dongtai360.45 260401.64 262236.89 271303.10 285262.16 287963.12 28472.78 289622.82 281199.37 276708.06 283130.96 303310.90 280506.46 285108.11 277137.60 283
Syy-MVS370.76 261415.60 264236.25 270310.54 286210.76 276965.13 28598.58 310746.06 291266.26 288788.85 29091.37 289364.76 288357.17 267116.42 282133.22 279
tmp_tt371.08 262412.78 263246.00 274231.00 270197.00 2731293.00 307376.00 359756.00 293609.00 33771.00 213106.00 296195.00 265102.00 223171.00 307346.00 333
UWE-MVS387.98 263438.66 266235.93 269349.32 293257.61 2851081.50 29582.45 299637.74 282257.12 285738.54 285134.25 304308.00 278531.93 288135.11 292142.17 284
myMVS_eth3d390.90 264437.44 265251.28 276310.54 286255.86 283965.13 28598.58 310746.06 291266.26 288788.85 290154.95 311364.76 288490.19 277116.42 282133.22 279
RPSCF394.81 265445.63 267242.35 272276.55 282253.63 2821207.27 30490.69 304715.56 287241.57 282684.87 281111.96 297320.02 282548.38 290133.81 291153.39 289
WB-MVSnew404.84 266458.00 268245.36 273374.70 299320.27 2961193.74 30372.90 290773.77 294238.30 280688.22 28290.05 288308.59 279532.76 289157.54 300107.21 270
testing99408.82 267462.15 269248.86 275322.45 289269.42 2881118.93 29873.26 292719.36 289262.28 286772.10 287150.98 310327.08 283601.98 294137.99 293150.07 287
testing3418.10 268469.06 270265.23 280335.69 290290.63 2901240.88 30593.72 305717.99 288215.31 277811.97 296232.41 342358.74 286458.67 275114.88 280146.32 285
myMVS_eth3d28418.40 269473.07 271254.39 277261.18 277313.04 2921172.79 30274.16 293929.18 303264.68 287745.72 286139.03 308318.91 281549.18 291121.71 287131.21 275
testing222430.52 270487.50 274259.56 279379.87 303282.69 2891138.34 29981.30 297880.86 298281.58 292834.27 298135.83 306333.22 284514.90 287140.56 294162.76 291
MASt3R-SfM432.55 271498.24 277235.48 268246.34 274235.93 2781447.80 30932.85 266924.84 302196.39 274881.24 30233.31 256367.13 291643.29 30278.11 267103.39 269
EG-PatchMatch MVS437.03 272493.12 275268.77 281264.80 278260.20 2861491.80 31298.00 309723.20 290238.80 281722.40 28463.10 281382.00 293629.00 298207.00 316164.10 294
ADS-MVSNet2443.33 273482.84 272324.79 295434.94 316387.73 3081110.57 29687.69 301887.02 299282.92 293779.29 28898.57 293422.76 303502.40 279162.19 305163.87 292
ADS-MVSNet443.33 273482.84 272324.79 295434.94 316387.73 3081110.57 29687.69 301887.02 299282.92 293779.29 28898.57 293422.76 303502.40 279162.19 305163.87 292
ETVMVS443.50 275498.07 276279.78 282378.05 302321.57 2971163.68 30187.12 300897.50 301269.81 290822.83 297141.20 309334.53 285568.21 293154.21 295183.26 301
GLUNet-SfM453.02 276518.66 278256.09 278234.58 271255.96 2841607.37 31533.24 267947.74 304191.46 273875.86 30030.56 246398.99 298672.82 30774.28 266113.32 271
MVP-Stereo473.58 277533.67 279293.33 284376.00 300318.00 2931461.00 31096.00 306835.00 296290.00 296804.00 29397.00 291383.00 295688.00 308156.00 297179.00 299
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 277533.67 279293.33 284376.00 300318.00 2931461.00 31096.00 306835.00 296290.00 296804.00 29397.00 291383.00 295688.00 308156.00 297179.00 299
testing3-2489.51 279555.88 282290.42 283362.21 296319.27 2951424.84 30888.81 303964.80 305309.62 299879.13 301174.38 318363.98 287643.82 303155.29 296188.01 303
PatchmatchNetpermissive492.52 280551.22 281316.40 293400.20 310357.90 3051277.10 306115.80 3171034.60 314315.90 300874.00 299155.10 312402.20 300629.50 299158.80 301189.10 304
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmvs501.65 281567.42 283304.33 288395.39 308356.32 3041512.04 313216.53 346994.15 307350.16 308804.16 295119.38 301380.98 292555.14 292159.87 303175.69 297
DELS-MVS514.57 282587.73 285295.12 286343.03 292328.09 3011540.48 314116.22 318988.59 306325.44 304906.22 303119.86 302365.72 290788.60 312161.09 304191.55 306
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 283581.17 284321.48 294361.02 294429.00 3151995.36 32278.48 296796.20 295283.32 295796.02 29296.78 290382.98 294636.72 300186.66 313152.46 288
ArgMatch-SfM559.81 284646.64 290299.29 287273.31 279302.88 2911966.31 32132.78 2651178.38 317242.47 2831172.35 32031.59 254476.65 306841.50 31581.11 270118.35 273
PDCNetPlus580.74 285670.05 291312.81 292293.01 284325.34 2982012.58 32340.24 2751291.32 320244.73 2841126.48 31940.08 267476.71 307892.02 31890.03 273136.37 282
gg-mvs-nofinetune594.69 286605.37 286562.67 324617.29 333500.33 322772.30 272413.12 368579.21 272552.71 331567.40 268662.54 386531.67 309503.93 281779.80 365656.02 349
SR-MVS610.10 287610.10 287610.10 329610.10 327610.10 340610.10 266610.10 392610.10 279610.10 338610.10 274610.10 374610.10 326610.10 295610.10 348610.10 346
CR-MVSNet612.36 288617.81 289596.01 327611.29 329600.33 337790.30 273513.12 383579.21 272552.71 331567.40 268662.54 386531.67 309503.93 281779.80 365656.02 349
IterMVS615.05 289691.66 292385.23 300516.40 320454.80 3181863.80 319102.10 3141142.20 316364.10 3101093.20 317135.00 305480.40 308826.90 313181.20 310220.50 311
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 290700.96 293362.78 298426.10 315409.25 3111822.69 318124.42 3291186.23 318366.85 3111079.42 315190.60 330451.78 305930.72 319181.59 311227.30 312
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 291725.61 294338.98 297319.80 288348.01 3022161.93 32434.42 2681349.94 324274.47 2911311.17 32335.52 257536.43 313953.83 32089.37 272132.49 278
WBMVS655.88 292770.84 297310.98 291391.79 307353.00 3032280.68 32699.17 3131776.79 345301.20 2981123.23 318187.34 328390.28 297620.39 297156.98 299189.66 305
ACMH+729.97 2661.38 293754.00 295383.51 299368.96 298376.38 3062483.74 33882.42 2981089.25 315333.39 3061219.68 32166.53 283573.60 323957.86 321184.14 312200.56 309
SSC-MVS3.2667.82 294787.71 298308.16 289385.94 305327.65 2991718.51 316117.00 3191942.46 351317.12 3011488.73 335183.89 319404.82 301763.70 310172.02 308192.01 307
UBG667.82 294787.71 298308.16 289385.94 305327.65 2991718.51 316117.00 3191942.46 351317.12 3011488.73 335183.89 319404.82 301763.70 310172.02 308192.01 307
Gipumacopyleft689.75 296767.00 296458.00 314613.00 332549.00 3351943.00 320187.00 3431230.00 319518.00 3281092.00 316203.00 336564.00 315892.00 317225.00 326261.00 320
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
DenseAffine716.23 297826.00 300386.90 301338.46 291383.55 3072528.22 33939.18 2691519.44 336321.65 3031502.70 33738.50 262629.37 3301046.88 33299.01 276147.77 286
DKM753.27 298870.09 307402.84 302361.88 295411.34 3122666.28 34343.92 2781620.97 340327.84 3051561.61 34042.38 268642.06 3321096.20 341109.69 278155.12 290
IterMVS-LS758.94 299856.56 303466.10 315606.60 325546.80 3332309.90 327122.20 3281402.80 325463.50 3181348.20 324192.60 331574.60 3241028.60 331234.60 328276.90 322
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
new-patchmatchnet766.12 300859.03 304487.38 319595.68 322536.14 3242346.27 328142.51 3341488.08 327422.43 3141361.32 326163.65 315628.60 3281003.74 330207.61 317297.41 326
SixPastTwentyTwo773.62 301869.37 306486.35 318603.45 324547.15 3342532.14 340106.92 3161434.95 326428.08 3151360.56 325165.15 316628.96 329984.09 322209.01 318282.94 323
mvs_anonymous774.90 302882.28 308452.77 307636.50 334537.20 3252348.80 329120.30 3211504.30 328474.40 3191371.10 327186.90 321564.70 3161078.90 334219.30 319256.40 313
casdiffmvspermissive774.90 302882.28 308452.77 307636.50 334537.20 3252348.80 329120.30 3211504.30 328474.40 3191371.10 327186.90 321564.70 3161078.90 334219.30 319256.40 313
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 302882.28 308452.77 307636.50 334537.20 3252348.80 329120.30 3211504.30 328474.40 3191371.10 327186.90 321564.70 3161078.90 334219.30 319256.40 313
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 302882.28 308452.77 307636.50 334537.20 3252348.80 329120.30 3211504.30 328474.40 3191371.10 327186.90 321564.70 3161078.90 334219.30 319256.40 313
baseline1774.90 302882.28 308452.77 307636.50 334537.20 3252348.80 329120.30 3211504.30 328474.40 3191371.10 327186.90 321564.70 3161078.90 334219.30 319256.40 313
casdiffmvs_mvgpermissive774.90 302882.28 308452.77 307636.50 334537.20 3252348.80 329120.30 3211504.30 328474.40 3191371.10 327186.90 321564.70 3161078.90 334219.30 319256.40 313
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 302882.28 308452.77 307636.50 334537.20 3252348.80 329120.30 3211504.30 328474.40 3191371.10 327186.90 321564.70 3161078.90 334219.30 319256.40 313
PMatch-SfM784.39 309906.45 315418.23 304363.55 297413.41 3132750.56 34542.96 2771663.64 341341.27 3071653.81 34142.46 269676.23 3341182.18 344117.60 284165.06 295
RPMNet787.26 310829.13 301661.63 333885.90 349895.90 357455.98 253610.10 3921297.17 3211002.26 3601001.67 313655.98 384611.10 327667.90 304885.21 377477.90 343
JIA-IIPM804.30 311835.64 302710.26 338885.90 349895.90 357455.98 253668.73 3971297.17 3211002.26 3601001.67 313655.98 384756.98 338667.90 304885.21 377477.90 343
PMatch-Up-SfM815.39 312940.33 317440.56 305382.27 304431.17 3162810.50 34646.03 2811754.44 343360.71 3091728.19 34344.08 270722.27 3361214.00 345122.78 288168.24 296
RoMa-SfM821.88 313947.65 318444.57 306404.53 312436.79 3172814.72 34748.36 2821757.60 344367.99 3121743.22 34450.35 276719.59 3351218.12 346123.95 289177.32 298
CSCG826.03 314963.29 319414.24 303421.52 313426.11 3142230.35 325179.52 3421827.44 346733.43 348933.12 305281.25 344545.23 3141800.35 357262.64 330271.38 321
PVSNet1207.94 6829.56 315937.18 316506.69 320645.55 341585.72 3362477.98 337130.52 3301578.29 337509.50 3271460.01 334194.90 332637.19 3311170.78 343267.07 332297.17 325
PatchT856.34 316860.99 305842.38 3431290.90 364880.90 355790.30 2731267.30 415579.21 272923.90 350567.40 268662.54 386990.23 348887.56 316779.80 365656.02 349
K. test v3877.74 317980.16 320570.46 3261316.85 366813.15 3522565.52 341103.78 3151509.49 335548.33 3301258.90 322219.93 341587.82 3251102.37 342196.30 314310.42 328
DKM-HiRes889.49 3181027.58 328475.22 316423.85 314483.27 3193121.07 34852.45 2841928.03 350389.91 3131854.07 34750.60 277758.69 3391297.31 349130.95 290183.70 302
MVSTER890.06 3191005.91 327542.52 321736.13 346653.90 3442616.56 342145.22 3361692.10 342555.69 3341554.72 339266.25 343660.02 3331219.66 347266.84 331313.64 329
PMVScopyleft863.65 3957.08 3201054.11 329666.00 335401.00 311495.00 3213790.00 353279.00 3481607.00 339521.00 3291745.00 34590.00 2861105.00 359639.00 301415.00 344398.00 340
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ACMH993.80 5967.92 3211106.11 331553.33 322494.00 318534.00 3233581.00 351136.00 3311585.00 338478.00 3261871.00 34890.00 286839.00 3411460.00 350260.00 329287.00 324
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet_01661.03 9968.54 3221066.82 330673.70 336706.94 344695.69 3452669.02 344153.52 3382108.17 354605.54 3361679.14 342213.26 340886.75 3441236.76 348229.01 327438.67 342
OurMVSNet-221017-0999.00 323999.00 321999.00 344999.00 354999.00 359999.00 288999.00 408999.00 308999.00 353999.00 306999.00 399999.00 350999.00 323999.00 384999.00 381
EPMVS999.00 323999.00 321999.00 344999.00 354999.00 359999.00 288999.00 408999.00 308999.00 353999.00 306999.00 399999.00 350999.00 323999.00 384999.00 381
uanet_test1000.00 3251000.00 3231000.00 3471000.00 3571000.00 3621000.00 2911000.00 4111000.00 3101000.00 3561000.00 3091000.00 4021000.00 3531000.00 3261000.00 3871000.00 384
sosnet1000.00 3251000.00 3231000.00 3471000.00 3571000.00 3621000.00 2911000.00 4111000.00 3101000.00 3561000.00 3091000.00 4021000.00 3531000.00 3261000.00 3871000.00 384
USDC1000.00 3251000.00 3231000.00 3471000.00 3571000.00 3621000.00 2911000.00 4111000.00 3101000.00 3561000.00 3091000.00 4021000.00 3531000.00 3261000.00 3871000.00 384
TinyColmap1000.00 3251000.00 3231000.00 3471000.00 3571000.00 3621000.00 2911000.00 4111000.00 3101000.00 3561000.00 3091000.00 4021000.00 3531000.00 3261000.00 3871000.00 384
RoMa-HiRes1034.45 3291193.62 332556.95 323500.36 319544.88 3323519.53 35061.60 2852201.60 356461.12 3172254.28 35260.98 280906.83 3451523.88 352159.21 302219.15 310
ACMP1246.57 71086.24 3301235.17 334639.45 330596.53 323639.91 3423904.24 354152.04 3371851.54 347566.58 3351997.95 350138.50 307938.30 3461605.46 353303.70 338340.14 331
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Patchmtry1090.75 3311198.88 333766.38 3421290.90 364485.90 3202423.98 3361267.30 4151297.17 321923.90 350923.40 3041215.54 407990.23 348667.90 304779.80 365823.02 363
test_04021110.00 3321260.00 335660.00 332900.00 352780.00 3513300.00 349210.00 3452040.00 353690.00 3431950.00 349300.00 347810.00 3401620.00 354330.00 339390.00 339
MVS_111021_LR1136.45 3331298.72 336649.64 331756.17 347726.26 3483785.94 352138.15 3332190.64 355629.63 3412064.39 351165.45 317874.83 3431678.43 356279.70 333347.82 334
ACMM1311.08 81165.06 3341332.72 337662.07 334584.90 321715.99 3474373.59 358153.99 3391880.27 348709.02 3452316.97 353188.63 329939.89 3471484.30 351302.78 337330.34 330
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++1242.93 3351411.08 338738.48 340712.71 345712.68 3464168.17 356136.50 3322276.40 357613.28 3402368.60 356161.61 3141130.38 3601964.54 360297.88 335372.39 336
MG-MVS1256.50 3361432.00 339730.00 339610.00 326760.00 3494720.00 359169.00 3401920.00 349723.00 3472510.00 359201.00 3341050.00 3571645.00 355390.00 342380.00 337
ACMMPR1296.60 3371480.82 340743.96 341899.25 351763.47 3504305.47 357143.90 3352530.94 360683.99 3422346.34 355201.65 3351098.25 3581920.59 359295.21 334370.16 335
TSAR-MVS + GP.1386.84 3381622.84 342678.81 337952.13 353840.17 3545358.21 362170.75 3412650.47 361713.54 3462394.28 357209.42 339855.56 3421854.36 358302.42 336340.71 332
FPMVS1407.00 3391495.59 3411141.23 352648.01 342893.85 3564124.00 355503.81 3823219.04 364742.72 3492498.84 358157.98 3131727.83 366832.93 314732.98 364802.00 358
DeepC-MVS_fast2190.19 121535.59 3401886.82 344481.89 317847.73 348830.16 3537943.84 378189.23 3442398.83 358691.73 3442341.13 354209.16 338230.25 2691999.25 361360.46 340385.25 338
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 3411869.33 3431025.33 3511030.00 3611023.00 3665311.00 361359.00 3573044.00 362937.00 3522892.00 360332.00 3511440.00 3632312.00 363607.00 347613.00 348
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 3422113.11 3451173.33 3551231.00 3621174.00 3676297.00 364392.00 3623356.00 3661087.00 3623082.00 361361.00 3551670.00 3652523.00 365689.00 354676.00 353
OpenMVS_ROBcopyleft1936.51 101959.51 3432224.88 3471163.39 3541253.91 3631434.22 3707065.71 368272.76 3472472.29 3591647.54 3923538.72 365200.37 3331496.48 3642575.17 366997.45 383559.48 345
CMPMVSbinary2623.62 151983.08 3442156.14 3461463.89 3651414.80 3681517.00 3725239.20 360867.40 4023310.30 3651128.70 3643489.90 364366.75 3562030.20 3772427.60 3641160.60 396844.46 366
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MVS-HIRNet2125.39 3452452.68 3481143.53 3532938.33 4091446.92 3716083.19 363391.74 3613801.71 3691202.10 3663439.72 363492.73 3651304.35 3623048.25 370676.32 353679.32 354
PLCcopyleft2858.82 162192.92 3462474.00 3491349.67 3571407.00 3671356.00 3697164.00 369475.00 3753970.00 3701237.00 3693765.00 368451.00 3621891.00 3713006.00 369791.00 370802.00 358
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVScopyleft2352.88 132263.08 3472530.89 3501459.67 3641767.00 3791591.00 3757932.00 377399.00 3633643.00 3671176.00 3653569.00 366297.00 3461927.00 3733302.00 371693.00 359861.00 367
PCF-MVS4335.85 202272.23 3482597.03 3511297.84 3561701.20 3711332.37 3688105.11 379451.45 3714031.84 3711099.10 3633966.50 369467.45 3631734.05 3672701.68 368848.94 374827.11 364
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x4202340.81 3492643.03 3521434.14 3582025.55 3881629.36 3796542.40 365412.49 3654219.70 3731547.02 3804328.52 371650.74 3811798.26 3683333.17 372727.72 361874.79 368
CHOSEN 1792x26882340.81 3492643.03 3521434.14 3582025.55 3881629.36 3796542.40 365412.49 3654219.70 3731547.02 3804328.52 371650.74 3811798.26 3683333.17 372727.72 361874.79 368
HyFIR lowres test2340.81 3492643.03 3521434.14 3582025.55 3881629.36 3796542.40 365412.49 3654219.70 3731547.02 3804328.52 371650.74 3811798.26 3683333.17 372727.72 361874.79 368
3Dnovator2482.06 142531.17 3522839.56 3551606.00 3661732.00 3751557.00 3748375.00 381483.00 3764370.00 3761371.00 3754200.00 370350.00 3532207.00 3783877.00 378798.00 3711054.00 388
tpmrst2557.50 3532847.12 3561688.66 3691784.08 3801778.25 3897445.50 375342.14 3544471.54 3771534.55 3794382.10 374530.10 3692361.21 3814142.81 382991.22 382926.51 373
AdaColmapbinary2570.77 3542948.61 3571437.24 3611873.64 3811526.60 3737819.77 376373.97 3584970.45 3801479.29 3774648.46 376525.80 3681904.97 3724150.42 383695.69 360880.14 371
SD-MVS2654.53 3553055.56 3601451.45 3621725.60 3721598.35 3769203.30 385315.86 3515016.02 3821363.85 3724894.28 379387.23 3572023.43 3743973.88 379620.04 350732.56 355
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 3563021.57 3581618.12 3672377.67 3951751.39 3888915.70 384567.44 3904569.74 3781236.84 3684615.63 375513.23 3662291.32 3793515.48 375882.39 376811.66 360
LF4IMVS2699.50 3573049.67 3591649.00 3681755.00 3761689.00 3838330.00 380464.00 3734997.00 3811528.00 3784763.00 378568.00 3722296.00 3804215.00 384827.00 373962.00 378
EGC-MVSNET2819.75 3583096.89 3611988.33 3793105.00 4102241.00 4009480.00 389640.00 3964209.00 3721583.00 3854740.00 377547.00 3712797.00 3932644.00 367924.00 380927.00 374
Vis-MVSNetpermissive2877.42 3593170.00 3621999.67 3801673.00 3702042.00 3988593.00 382474.00 3746452.00 3951268.00 3705125.00 382339.00 3523004.00 3954222.00 385384.00 341953.00 377
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2891.50 3603284.78 3631711.67 3701954.00 3821655.00 38210117.00 398445.00 3705102.00 3851375.00 3765126.00 383351.00 3542638.00 3914402.00 386691.00 357842.00 365
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 3613537.00 3641975.67 3772310.00 3932005.00 39710100.00 397626.00 3955753.00 3861803.00 3955179.00 384487.00 3642622.00 3894550.00 3871025.00 3911300.00 395
DeepC-MVS3917.13 193155.06 3623601.83 3651814.72 3752515.52 3981941.53 39310432.50 399589.42 3914789.45 3791298.65 3717677.31 400578.35 3732589.53 3853611.78 377923.52 379913.10 372
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 3633762.89 3661783.33 3731756.00 3771806.00 39012319.00 401307.00 3496319.00 3931557.00 3835763.00 385302.00 3482609.00 3875061.00 390482.00 345935.00 375
OPM-MVS3268.00 3633762.89 3661783.33 3731756.00 3771806.00 39012319.00 401307.00 3496319.00 3931557.00 3835763.00 385302.00 3482609.00 3875061.00 390482.00 345935.00 375
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TAPA-MVS6309.84 213374.90 3653806.99 3682078.63 3822535.47 3992499.25 4088816.16 383456.05 3726255.60 3921664.52 3936704.88 390629.95 3792768.38 3926343.93 404856.35 375968.25 379
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 3664065.89 3731914.35 3762349.10 3942141.30 39912362.70 403417.60 3696717.80 3991759.40 3946497.50 388518.18 3672629.38 3905164.32 392806.40 372972.38 380
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
tpm23617.85 3674007.23 3692449.73 3872012.71 3841698.05 3847351.19 371869.29 4036132.06 3881588.28 3868007.42 4031281.09 4083888.11 4087472.04 4081351.00 3981763.02 404
tpm cat13617.85 3674007.23 3692449.73 3872012.71 3841698.05 3847351.19 371869.29 4036132.06 3881588.28 3868007.42 4031281.09 4083888.11 4087472.04 4081351.00 3981763.02 404
CostFormer3617.85 3674007.23 3692449.73 3872012.71 3841698.05 3847351.19 371869.29 4036132.06 3881588.28 3868007.42 4031281.09 4083888.11 4087472.04 4081351.00 3981763.02 404
tpm3617.85 3674007.23 3692449.73 3872012.71 3841698.05 3847351.19 371869.29 4036132.06 3881588.28 3868007.42 4031281.09 4083888.11 4087472.04 4081351.00 3981763.02 404
MVS_111021_HR3742.80 3714330.34 3741980.20 3782484.31 3972259.52 40114973.80 408515.90 3896500.13 3961949.21 3976146.89 387535.66 3702593.66 3864880.76 389986.37 3811087.43 389
MAR-MVS3973.16 3724387.92 3752728.86 3933345.27 4123341.39 41611403.90 400798.76 4006555.62 3982569.29 4076514.86 389834.97 3933237.43 4055891.08 3951577.54 4031607.76 396
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 3734731.32 3781730.42 3712191.51 3911949.98 39416473.90 410355.33 3557172.90 4041622.98 3907879.79 401434.33 3602428.11 3835762.12 393689.04 355813.18 361
DVP-MVScopyleft3981.10 3734731.32 3781730.42 3712191.51 3911949.98 39416473.90 410355.33 3557172.90 4041622.98 3907879.79 401434.33 3602428.11 3835762.12 393689.04 355813.18 361
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 3754533.33 3762400.00 3862400.00 3962400.00 4027200.00 3702400.00 4197200.00 4062400.00 4067200.00 3952400.00 4122400.00 3827200.00 4062400.00 4102400.00 409
SED-MVS4062.74 3764671.13 3772237.56 3832643.17 4002465.14 40313996.40 405493.26 3777619.38 4072107.24 3987416.93 397610.24 3763088.29 4006075.14 4001078.39 3921159.26 390
MSP-MVS4296.20 3774911.12 3812451.45 3912725.60 4052598.35 40916203.30 409515.86 3857016.02 4002363.85 4026894.28 391887.23 3943023.43 3965973.88 3961620.04 4041732.56 400
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 3784906.56 3802803.67 3943844.00 4133116.00 41413454.00 404901.00 4076511.00 3972794.00 4087365.00 396754.00 3903634.00 4066622.00 4051914.00 4091661.00 399
OMC-MVS5022.26 3795748.82 3822842.58 3954905.27 4153101.27 41314933.60 407812.24 4019278.40 4112959.29 4098800.17 4071092.24 4063806.30 4077568.54 4121389.60 4021620.18 398
CLD-MVS7338.25 3808341.00 3834330.00 3974902.00 4144991.00 41723318.00 417728.00 39914437.00 4214378.00 41213379.00 415824.00 3925708.00 41211429.00 4211674.00 4082291.00 408
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 3818776.23 3844410.16 3985298.55 4165631.53 41834329.90 4191504.57 41711554.00 4203896.41 41115111.00 416812.19 3915985.63 4133516.20 3762963.23 4111613.31 397
ZNCC-MVS9999.00 3829999.00 3859999.00 4009999.00 4199999.00 4219999.00 3909999.00 4249999.00 4129999.00 4159999.00 4089999.00 4169999.00 4149999.00 4139999.00 4159999.00 413
patch_mono-210000.00 38310000.00 38610000.00 40110000.00 42010000.00 42210000.00 39110000.00 42510000.00 41310000.00 41610000.00 40910000.00 41710000.00 41510000.00 41410000.00 41610000.00 414
dcpmvs_210000.00 38310000.00 38610000.00 40110000.00 42010000.00 42210000.00 39110000.00 42510000.00 41310000.00 41610000.00 40910000.00 41710000.00 41510000.00 41410000.00 41610000.00 414
DCPMVS10000.00 38310000.00 38610000.00 40110000.00 42010000.00 42210000.00 39110000.00 42510000.00 41310000.00 41610000.00 40910000.00 41710000.00 41510000.00 41410000.00 41610000.00 414
UA-Net10000.00 38310000.00 38610000.00 40110000.00 42010000.00 42210000.00 39110000.00 42510000.00 41310000.00 41610000.00 40910000.00 41710000.00 41510000.00 41410000.00 41610000.00 414
uncertanet10000.00 38310000.00 38610000.00 40110000.00 42010000.00 42210000.00 39110000.00 42510000.00 41310000.00 41610000.00 40910000.00 41710000.00 41510000.00 41410000.00 41610000.00 414
uanet10000.00 38310000.00 38610000.00 40110000.00 42010000.00 42210000.00 39110000.00 42510000.00 41310000.00 41610000.00 40910000.00 41710000.00 41510000.00 41410000.00 41610000.00 414
MVEpermissive10021.00 2210550.67 38910002.44 39212195.33 4076242.00 4178768.00 42030896.00 4184451.00 42110331.00 4196247.00 41318296.00 417283.00 34521484.00 4227364.00 4075912.00 4146334.00 412
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 39011772.44 3937637.33 3999120.00 4188206.00 41922252.00 4162010.00 41824984.00 4227458.00 41422596.00 4182940.00 41310260.00 42111100.00 4203492.00 4134446.00 411
LTVRE_ROB20565.47 2323378.08 39122805.00 39425097.33 40815500.00 42619201.00 42842712.00 4206055.00 42238388.00 42316926.00 42238534.00 4197071.00 41535653.00 42329475.00 42210584.00 42220438.00 421
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 39234443.44 39527094.33 40929249.00 42725246.00 42951144.00 4216705.00 42342886.00 42422888.00 42348534.00 42013263.00 42337507.00 42479298.00 42316024.00 42318530.00 420
114514_t99999.00 39399999.00 39699999.00 41099999.00 42899999.00 43099999.00 42299999.00 43199999.00 42599999.00 42499999.00 42199999.00 42499999.00 42599999.00 42499999.00 42499999.00 422
PHI-MVS99999.00 39399999.00 39699999.00 41099999.00 42899999.00 43099999.00 42299999.00 43199999.00 42599999.00 42499999.00 42199999.00 42499999.00 42599999.00 42499999.00 42499999.00 422
MP-MVS-pluss833433.63 3951111219.60 40175.70 23274.28 22673.29 235284.50 22611.35 221238.58 23465.86 240255.35 24914.55 222115.69 25110000000.00 43031.94 23338.12 240
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MTAPA833442.10 3961111233.77 40267.09 22165.59 22464.81 228284.50 22610000000.00 437219.97 22959.62 232229.89 23912.72 218103.00 242203.67 25627.93 22833.46 224
XVG-OURS-SEG-HR999999.00 397999999.00 398999999.00 412999999.00 431999999.00 433999999.00 424999999.00 434999999.00 427999999.00 427999999.00 423999999.00 427999999.00 428999999.00 427999999.00 428999999.00 424
XVG-OURS999999.00 397999999.00 398999999.00 412999999.00 431999999.00 433999999.00 424999999.00 434999999.00 427999999.00 427999999.00 423999999.00 427999999.00 428999999.00 427999999.00 428999999.00 424
XVG-ACMP-BASELINE999999.00 397999999.00 398999999.00 412999999.00 431999999.00 433999999.00 424999999.00 434999999.00 427999999.00 427999999.00 423999999.00 427999999.00 428999999.00 427999999.00 428999999.00 424
MED-MVS8343445.32 4007791260.42 40310000000.00 41510000000.00 43410000000.00 43621344.80 41210000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43099999.00 42410000000.00 427
TestfortrainingZip a9168445.40 4018891260.53 40410000000.00 41510000000.00 43410000000.00 43621344.80 41210000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
PRO-TEST10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
mamba_040810000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
icg_test_0407_210000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
SSM_0407210000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
SSM_040710000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
IMVS_040710000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
IMVS_040410000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
SSM_040410000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
IMVS_040310000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
SD_040310000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
aaEdge-Enhanced10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
NormalMVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
lecture10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
SymmetryMVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
Elysia10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
StellarMVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
KinetiMVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
LuminaMVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
VortexMVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
AstraMVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
guyue10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
sc_t110000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
tt0320-xc10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
tt032010000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
MVSMamba_PlusPlus10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
MGCFI-Net10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
sasdasda10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
dmvs_re10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
SDMVSNet10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
dmvs_testset10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
sd_testset10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
BridgeMVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
MonoMVSNet10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
test250610000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
test111110000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
ECVR-MVScopyleft10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
test_blank10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
tt080510000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
Anonymous2024052110000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
cl2210000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
miper_ehance_all_eth10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
miper_enhance_ethall10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
cl____10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
DIV-MVS_self_test10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
eth_miper_zixun_eth10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
ET-MVSNet_ETH3D10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
UniMVSNet_ETH3D10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
miper_lstm_enhance10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
D2MVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
test_yl10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
thisisatest053010000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
Anonymous2024052910000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
Anonymous20240521110000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
DCV-MVSNet10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
tttt051710000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
our_test_310000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
thisisatest051510000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
ppachtmachnet_test10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
SMA-MVScopyleft10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
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 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
tfpnnormal10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
tfpn200view910000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
c3_l10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
IterMVS-SCA-FT10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
pmmvs610000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
pmmvs510000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
Anonymous2023121110000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
pmmvs-eth3d10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
Anonymous2023120610000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
SCA10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
Patchmatch-test10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
Patchmatch-RL test10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
canonicalmvs10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
anonymousdsp10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
FIs10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
FC-MVSNet-test10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
sosnet-low-res10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
AllTest10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
RRT-MVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
balanced_ft_v110000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
HPM-MVS++copyleft10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
XVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
pm-mvs110000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
X-MVStestdata10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
APDe-MVScopyleft10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
pmmvs410000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
test-LLR10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
TESTMET0.1,110000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
test-mter10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
testgi10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
test20.0310000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
thres600view710000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
MP-MVScopyleft10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
thres40010000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
test12310000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
thres20010000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
test0.0.03 110000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
pmmvs310000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
EMVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
E-PMN10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
PGM-MVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
MCST-MVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
MVS_Test10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
PMMVS210000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
PM-MVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
HQP_MVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
mPP-MVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
mvsmamba10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
HPM-MVS_fast10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
HPM-MVScopyleft10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
EPNet_dtu10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
NCCC10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
CP-MVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
CPTT-MVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
HQP-MVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
IS-MVSNet10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
PAPM_NR10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
PAPR10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
Vis-MVSNet (Re-imp)10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
PatchMatch-RL10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
TDRefinement10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
EPP-MVSNet10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
PMMVS10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
PAPM10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
ACMMPcopyleft10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
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 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
wuyk23d10000000.00 40210000000.00 40510000000.00 41510000000.00 43410000000.00 43610000000.00 42710000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
APD-MVScopyleft1000000000.00 5351000000000.00 5381000000000.00 5531000000000.00 5801000000000.00 5801000000000.00 5651000000000.00 5801000000000.00 5721000000000.00 5731000000000.00 5691000000000.00 5741000000000.00 5741000000000.00 5721000000000.00 5721000000000.00 569
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
PatchmatchNet2copyleft400.00 309400.00 310400.00 244400.00 364400.00 266
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
PatchmatchNet1copyleft400.00 270400.00 343400.00 341
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
PatchmatchNet3copyleft400.00 299
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
test-26052499999.00 42899999.00 43099999.00 43199999.00 42499999.00 42499999.00 42599999.00 42499999.00 424
aaatest10000000.00 41510000000.00 43410000000.00 43621344.80 41210000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43110000000.00 43010000000.00 43110000000.00 427
TestfortrainingZip3151.39 3963151.39 4113151.39 41521344.80 4123151.39 4203151.39 3633151.39 4103151.39 3623151.39 4143151.39 4043151.39 4123151.39 410
WAC-MVS248.46 281422.23 273
FOURS12643.17 4002465.14 40313996.40 405493.26 3777619.38 4072107.24 398
MSC_two_6792asdad2237.56 3832643.17 4002465.14 403493.26 3773088.29 4006075.14 4001078.39 3921159.26 390
PC_three_14527619.38 4072107.24 3987416.93 397610.24 3763088.29 4006075.14 4001078.39 3921159.26 390
No_MVS2237.56 3832643.17 4002465.14 403493.26 3773088.29 4006075.14 4001078.39 3921159.26 390
test_one_06012643.17 4002465.14 403493.26 3777619.38 4072107.24 3987416.93 397610.24 376
eth-test21.42 140
eth-test10000000.00 434
ZD-MVS1584.00 3691821.00 392378.00 3603721.00 3681231.00 3671833.00 346321.00 3501224.00 3612103.00 362692.00 358
RE-MVS-def610.10 287610.10 327610.10 340610.10 266610.10 392610.10 279610.10 338610.10 274610.10 374610.10 295610.10 348610.10 346
IU-MVS2725.60 4052598.35 409515.86 3857016.02 4002363.85 4025973.88 3961620.04 4041732.56 400
OPU-MVS2451.45 3912725.60 4052598.35 4099203.30 3856894.28 391887.23 3943023.43 3965973.88 3961620.04 4041732.56 400
test_241102_TWO515.86 3857016.02 4002363.85 4026894.28 391887.23 3943023.43 3965973.88 3961620.04 4041732.56 400
test_241102_ONE2725.60 4052598.35 409515.86 3857016.02 4002363.85 4026894.28 391887.23 3943023.43 396
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 3821363.85 3724894.28 379387.23 3572023.43 3743973.88 379620.04 350732.56 355
test_0728_SECOND1451.45 3621725.60 3721598.35 3769203.30 385315.86 3512023.43 3743973.88 379620.04 350732.56 355
test07261725.60 3721598.35 3769203.30 385315.86 3515016.02 3821363.85 3724894.28 379387.23 357
GSMVS10000000.00 427
test_part210000000.00 43410000000.00 43610000000.00 430
sam_mvs110000000.00 43010000000.00 427
sam_mvs10000000.00 430
ambc999.00 344999.00 354999.00 359999.00 288999.00 408999.00 353999.00 306999.00 399999.00 350999.00 323999.00 384999.00 381
MTGPAbinary10000000.00 437
test_post110000000.00 42710000000.00 42610000000.00 43010000000.00 43110000000.00 430
test_post10000000.00 42610000000.00 43010000000.00 431
patchmatchnet-post10000000.00 42610000000.00 43010000000.00 431
GG-mvs-BLEND596.01 327611.29 329600.33 337790.30 273513.12 383552.71 331567.40 268662.54 386531.67 309503.93 281779.80 365656.02 349
MTMP10000000.00 42710000000.00 437
gm-plane-assit611.29 329600.33 337579.21 272567.40 268531.67 309503.93 281
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 41510000000.00 43410000000.00 43610000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
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 43410000000.00 436
plane_prior610000000.00 43410000000.00 43610000000.00 430
plane_prior510000000.00 43710000000.00 43110000000.00 43010000000.00 43110000000.00 427
plane_prior410000000.00 426
plane_prior310000000.00 43610000000.00 43010000000.00 430
plane_prior210000000.00 42710000000.00 430
plane_prior110000000.00 434
plane_prior1.00 1342.00 1722.00 1732.00 171
n214.20 233
nn1.42 142
door-mid1.42 142
lessismore_v0569.20 325667.25 343644.68 34396.45 308428.86 3161514.17 338204.21 337756.58 3371061.60 333197.79 315306.34 327
LGP-MVS_train10000000.00 41510000000.00 43410000000.00 43610000000.00 43710000000.00 43010000000.00 43010000000.00 42610000000.00 43010000000.00 43110000000.00 43010000000.00 43110000000.00 427
test111.00 135
door99.00 312
HQP5-MVS10000000.00 436
HQP-NCC10000000.00 43410000000.00 42710000000.00 43010000000.00 430
ACMP_Plane10000000.00 43410000000.00 42710000000.00 43010000000.00 430
BP-MVS10000000.00 430
HQP4-MVS10000000.00 43010000000.00 43110000000.00 427
HQP3-MVS10000000.00 43710000000.00 431
HQP2-MVS10000000.00 430
NP-MVS10000000.00 43410000000.00 43610000000.00 426
MDTV_nov1_ep13_2view9.99 1949.99 1929.99 1939.99 1929.99 1989.99 1909.99 193
MDTV_nov1_ep139.99 1809.99 1939.99 1949.99 1929.99 2069.99 1939.99 1929.99 1899.99 1989.99 1939.99 1909.99 195
ACMMP++_ref10000000.00 431
ACMMP++10000000.00 431
Test By Simon990.00 398
ITE_SJBPF2014.00 3811998.00 3831992.00 396701.00 3985989.00 3871812.00 3963612.00 367650.00 3802852.00 3944601.00 3881195.00 3971198.00 394
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