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 1925.90 1835.90 1815.90 1795.90 1845.90 1825.90 1805.90 1845.90 183
UnsupCasMVSNet_bld5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1925.90 1835.90 1815.90 1795.90 1845.90 1825.90 1805.90 1845.90 183
WTY-MVS5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1925.90 1835.90 1815.90 1795.90 1845.90 1825.90 1805.90 1845.90 183
HY-MVS5.90 15.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1925.90 1835.90 1815.90 1795.90 1845.90 1825.90 1805.90 1845.90 183
sss5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1925.90 1835.90 1815.90 1795.90 1845.90 1825.90 1805.90 1845.90 183
Test_1112_low_res5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1925.90 1835.90 1815.90 1795.90 1845.90 1825.90 1805.90 1845.90 183
1112_ss5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1925.90 1835.90 1815.90 1795.90 1845.90 1825.90 1805.90 1845.90 183
ab-mvs-re5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1925.90 1835.90 1815.90 1795.90 1845.90 1825.90 1805.90 1845.90 183
ab-mvs5.90 1695.90 1705.90 1755.90 1835.90 1835.90 1825.90 1925.90 1835.90 1815.90 1795.90 1845.90 1825.90 1805.90 1845.90 183
CDPH-MVS6.66 1786.66 1796.66 1846.66 1926.66 1926.66 1916.66 2016.66 1926.66 1906.66 1886.66 1936.66 1916.66 1896.66 1936.66 192
xiu_mvs_v1_base_debu10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20810.28 19510.28 19410.28 19010.28 20210.28 19410.28 19210.28 19710.28 194
xiu_mvs_v2_base10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20810.28 19510.28 19410.28 19010.28 20210.28 19410.28 19210.28 19710.28 194
xiu_mvs_v1_base10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20810.28 19510.28 19410.28 19010.28 20210.28 19410.28 19210.28 19710.28 194
xiu_mvs_v1_base_debi10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20810.28 19510.28 19410.28 19010.28 20210.28 19410.28 19210.28 19710.28 194
cdsmvs_eth3d_5k10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20810.28 19510.28 19410.28 19010.28 20210.28 19410.28 19210.28 19710.28 194
pcd_1.5k_mvsjas10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20810.28 19510.28 19410.28 19010.28 20210.28 19410.28 19210.28 19710.28 194
PS-MVSNAJss10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20810.28 19510.28 19410.28 19010.28 20210.28 19410.28 19210.28 19710.28 194
PS-MVSNAJ10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20810.28 19510.28 19410.28 19010.28 20210.28 19410.28 19210.28 19710.28 194
jajsoiax10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20810.28 19510.28 19410.28 19010.28 20210.28 19410.28 19210.28 19710.28 194
mvs_tets10.28 17910.28 18110.28 18610.28 19410.28 19610.28 19410.28 20810.28 19510.28 19410.28 19010.28 20210.28 19410.28 19210.28 19710.28 194
SR-MVS-dyc-post11.55 18911.55 19111.55 19811.55 20511.55 20711.55 20411.55 22411.55 20511.55 20511.55 20011.55 21411.55 20411.55 20211.55 20711.55 205
XXY-MVS15.00 19015.00 19215.00 19915.00 20615.00 20915.00 20515.00 23815.00 20615.00 20815.00 20115.00 22515.00 20615.00 20415.00 21215.00 209
test_method18.29 19120.89 19310.50 19615.00 20613.00 20855.00 2153.00 18734.00 20811.50 20432.50 2025.00 18313.50 20527.00 2065.00 1835.00 182
GeoE19.41 19222.09 19411.37 19717.21 20811.30 20650.50 2144.30 18933.60 20711.70 20644.50 2107.30 19518.90 20722.60 2057.10 1943.90 180
PRO-TEST28.36 19332.01 19517.41 20029.20 20919.70 21083.18 2163.72 18855.62 21714.98 20749.15 2124.18 18221.65 20843.77 2124.31 18210.88 204
FBQ-MVS38.39 19443.19 20424.02 20237.02 21234.75 212121.94 2185.25 19070.28 21821.93 20964.99 2139.39 19825.38 21048.89 2168.98 19511.93 206
VLMVS39.38 19539.70 19638.39 20443.20 21941.62 21735.73 20839.21 27135.81 20946.46 22242.92 20831.86 25636.19 21246.03 21336.10 23837.37 239
nomal-139.76 19645.28 20523.20 20136.57 21132.48 21198.95 2175.50 19184.74 22028.76 21176.23 21610.18 20124.51 20954.61 21712.00 20812.60 207
BH-w/o40.00 19740.00 19740.00 20640.00 21440.00 21340.00 20940.00 27240.00 21140.00 21640.00 20440.00 26440.00 21340.00 20740.00 25040.00 244
BH-untuned40.00 19740.00 19740.00 20640.00 21440.00 21340.00 20940.00 27240.00 21140.00 21640.00 20440.00 26440.00 21340.00 20740.00 25040.00 244
BH-RMVSNet40.00 19740.00 19740.00 20640.00 21440.00 21340.00 20940.00 27240.00 21140.00 21640.00 20440.00 26440.00 21340.00 20740.00 25040.00 244
TR-MVS40.00 19740.00 19740.00 20640.00 21440.00 21340.00 20940.00 27240.00 21140.00 21640.00 20440.00 26440.00 21340.00 20740.00 25040.00 244
MVS_baseline40.71 20140.62 20140.98 21035.83 21041.70 21840.69 21330.01 26240.17 21544.54 22047.62 21147.49 27441.26 21746.59 21432.67 23639.99 243
VLMVS_CLIP41.36 20242.10 20339.14 20539.32 21343.30 21934.99 20744.38 28040.53 21645.84 22139.32 20349.12 27641.40 21847.27 21538.10 24232.71 221
MVS_clip42.12 20341.02 20245.43 21441.55 21847.24 22134.87 20631.91 26539.23 21047.00 22343.77 20945.79 27245.96 21941.07 21143.97 25943.09 252
GBi-Net44.67 20449.24 20630.96 20347.53 22047.57 223126.09 2198.00 20576.99 21926.09 21073.50 21511.27 21330.55 21161.12 21812.58 20914.75 208
SIFT-CM-Cal70.81 20580.73 20741.07 21153.36 22345.50 220238.80 2227.63 203146.46 22236.86 214124.25 2188.43 19657.83 22096.77 22213.98 21019.87 211
SIFT-NCM-Cal72.17 20681.80 20843.26 21253.17 22247.34 222241.27 2237.46 202147.21 22335.86 213128.70 2198.51 19762.68 22399.13 22314.93 21119.77 210
SIFT-UM-Cal75.41 20785.83 20944.16 21352.44 22148.43 224255.64 2267.90 204154.54 22635.49 212135.89 2207.20 19462.85 224106.86 22516.47 21321.20 212
SIFT-PCN-Cal76.63 20886.39 21047.35 21586.31 23748.76 225235.08 22117.15 242145.29 22138.11 215117.96 21718.08 23764.06 22595.58 22123.97 22229.22 217
dp87.20 209113.80 2137.42 18510.50 2048.88 193298.82 2302.70 186510.35 2717.79 191172.93 2233.37 1819.16 19214.00 2033.71 1814.23 181
new_pmnet88.14 21098.62 21156.70 21698.14 24256.07 226246.79 22415.37 240148.06 22450.77 225143.13 22123.35 24062.65 22193.26 21968.71 26551.38 258
N_pmnet88.14 21098.62 21156.70 21698.14 24256.07 226246.79 22415.37 240148.06 22450.77 225143.13 22123.35 24062.65 22193.26 21968.71 26551.38 258
XFeat-MNN108.16 212124.14 21760.24 21964.71 22465.64 231351.83 24111.05 219228.12 23352.43 227213.52 23613.22 22187.03 227160.49 23221.88 21828.05 215
SP-LightGlue108.97 213125.92 21858.13 21878.34 23061.59 228393.69 2449.94 206223.58 23248.33 224199.72 22710.99 21286.77 226149.09 23019.57 21426.03 213
CANet110.62 214124.04 21470.34 22482.03 23374.27 238325.54 23125.25 248207.16 22769.28 246194.38 22427.53 24495.79 237147.76 22737.43 23940.97 249
CANet_DTU110.62 214124.04 21470.34 22482.03 23374.27 238325.54 23125.25 248207.16 22769.28 246194.38 22427.53 24495.79 237147.76 22737.43 23940.97 249
UGNet110.62 214124.04 21470.34 22482.03 23374.27 238325.54 23125.25 248207.16 22769.28 246194.38 22427.53 24495.79 237147.76 22737.43 23940.97 249
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 217126.54 21964.54 22179.44 23272.14 235374.82 24211.60 226221.75 23153.64 229210.25 23513.20 22094.25 235152.80 23121.39 21627.22 214
SP-DiffGlue113.82 218130.70 22063.17 22067.00 22666.11 232377.48 24310.96 218236.17 23455.29 230224.34 23912.68 21894.74 236170.89 23521.50 21728.67 216
ACMMP_NAP118.81 219133.18 22175.70 23374.28 22773.29 236284.50 22711.35 222238.58 23565.86 241255.35 25014.55 223115.69 252222.18 26031.94 23438.12 241
FMVSNet5124.76 220140.93 22276.26 235107.44 248100.17 257329.88 23427.12 255259.44 24374.30 251204.34 22830.74 24892.41 228196.98 24538.15 24336.19 229
test1124.76 220140.93 22276.26 235107.44 248100.17 257329.88 23427.12 255259.44 24374.30 251204.34 22830.74 24892.41 228196.98 24538.15 24336.19 229
FMVSNet3124.76 220140.93 22276.26 235107.44 248100.17 257329.88 23427.12 255259.44 24374.30 251204.34 22830.74 24892.41 228196.98 24538.15 24336.19 229
FMVSNet2124.76 220140.93 22276.26 235107.44 248100.17 257329.88 23427.12 255259.44 24374.30 251204.34 22830.74 24892.41 228196.98 24538.15 24336.19 229
FMVSNet1124.76 220140.93 22276.26 235107.44 248100.17 257329.88 23427.12 255259.44 24374.30 251204.34 22830.74 24892.41 228196.98 24538.15 24336.19 229
MIMVSNet1124.76 220140.93 22276.26 235107.44 248100.17 257329.88 23427.12 255259.44 24374.30 251204.34 22830.74 24892.41 228196.98 24538.15 24336.19 229
MIMVSNet124.76 220140.93 22276.26 235107.44 248100.17 257329.88 23427.12 255259.44 24374.30 251204.34 22830.74 24892.41 228196.98 24538.15 24336.19 229
SP-MNN124.86 227143.22 23069.79 22386.07 23667.38 233447.53 25211.56 225256.60 24164.57 239215.61 23812.66 217110.32 249172.03 23722.35 21931.67 220
SP-NN125.71 228143.74 23171.61 22878.54 23165.10 230441.23 25111.20 220269.24 25355.66 231233.01 24112.24 216116.45 254171.30 23621.23 21533.27 224
SIFT-ConvMatch127.90 229145.81 23274.19 23197.94 24183.95 245423.51 24912.70 228257.99 24261.47 235240.26 24214.41 222107.54 245178.90 23925.10 22431.06 219
DSMNet-mixed131.33 230143.00 22996.33 25399.00 24481.00 244201.00 22045.00 281335.00 26299.00 262251.00 24838.00 262110.00 248120.00 22699.00 27698.00 267
XFeat-NN131.69 231151.90 23471.09 22776.28 22977.98 241462.62 25612.91 229268.06 25260.69 234251.04 24915.36 228105.71 244196.16 24423.96 22129.58 218
SIFT-MNN131.73 232151.00 23373.91 230106.70 24780.02 243465.05 25713.45 230253.70 24059.23 232240.68 24615.27 226108.54 246178.34 23826.57 22733.17 223
ALIKED-LG135.42 233153.61 23680.84 24396.26 24088.69 247452.25 25313.96 232264.04 25162.14 236283.13 25515.44 229116.46 255169.14 23326.17 22637.37 239
ALIKED-NN136.32 234155.63 24078.38 24289.85 23986.60 246481.11 25814.33 237272.35 25464.19 238256.34 25315.34 227112.39 250182.65 24124.52 22336.15 228
PVSNet_Blended_VisFu136.90 235155.40 23781.40 244111.00 25596.20 252407.00 24625.90 252251.60 23785.10 259240.50 24337.00 25999.90 240199.80 25340.70 25548.10 255
PVSNet_BlendedMVS136.90 235155.40 23781.40 244111.00 25596.20 252407.00 24625.90 252251.60 23785.10 259240.50 24337.00 25999.90 240199.80 25340.70 25548.10 255
PVSNet_Blended136.90 235155.40 23781.40 244111.00 25596.20 252407.00 24625.90 252251.60 23785.10 259240.50 24337.00 25999.90 240199.80 25340.70 25548.10 255
SP-SuperGlue137.45 238159.15 24172.36 229165.77 26570.44 234521.33 26311.27 221259.68 25053.14 228215.13 23712.16 215113.72 251170.03 23423.81 22032.93 222
SIFT-PointCN137.54 239153.56 23589.49 25286.92 23899.27 256439.85 25020.52 244276.42 25569.62 249249.96 24723.99 242132.59 260180.42 24034.34 23736.61 236
SIFT-NN140.61 240162.76 24274.19 231102.05 24579.09 242496.97 25912.66 227286.61 25764.13 237266.77 25415.98 230109.53 247193.75 24325.88 22533.96 226
SIFT-NN-NCMNet145.54 241166.42 24382.90 247115.73 26092.94 248527.19 26414.03 233285.84 25665.69 240256.06 25216.30 233118.43 256188.39 24228.57 23037.34 238
SIFT-NCMNet150.00 242171.18 24586.47 248118.16 26194.14 251498.85 26014.22 235306.48 25966.28 243288.38 25716.10 231130.24 257202.13 25630.03 23235.03 227
SIFT-NN-CMatch150.38 243170.73 24489.34 251103.45 24693.34 249519.87 26213.80 231302.14 25868.52 245285.65 25616.39 234137.95 261198.09 25228.65 23136.72 237
SIFT-UMatch151.81 244172.70 24689.15 249114.65 25896.40 255500.71 26114.32 236311.67 26067.41 244292.77 25916.23 232130.44 258208.85 25827.71 22840.60 248
SIFT-NN-UMatch155.66 245177.77 24789.32 250115.42 25993.92 250530.76 26515.24 239312.03 26172.31 250292.83 26016.40 235130.90 259213.19 25931.76 23343.14 253
SIFT-NN-PointCN174.29 246198.81 248100.73 254135.35 262113.50 264588.55 26624.71 247355.74 26377.37 258290.44 25827.16 243142.66 263248.71 26141.29 25846.03 254
BP-MVS1202.65 247232.15 249114.16 255183.40 268141.78 266655.87 27024.69 246372.56 264109.76 264356.89 26147.15 273139.51 262284.15 26354.86 26261.20 261
FE-MVS207.10 248234.26 250125.61 256180.34 267153.23 267635.64 26930.05 263378.38 265127.68 266377.08 26248.95 275154.43 264266.67 26263.56 26369.18 262
GDP-MVS219.79 249249.11 251131.85 257187.15 269155.97 268667.31 27130.57 264398.95 266131.26 267387.86 26358.83 280164.55 265315.00 26465.03 26475.04 264
ELoFTR243.08 250276.98 252141.35 258143.08 263138.37 265830.03 27920.10 243509.87 270106.57 263483.70 26617.51 236225.37 268341.57 26740.42 25460.32 260
FA-MVS(test-final)261.15 251293.29 253164.72 260236.23 273199.99 275800.05 27742.35 277475.87 269155.47 269470.67 26558.49 279205.24 267319.44 26581.03 27088.93 266
DP-MVS264.78 252296.02 254171.04 262191.70 270183.96 271827.10 27878.36 296438.24 268176.64 271435.12 26465.04 283230.52 271334.02 266117.96 28798.64 268
kuosan267.89 253301.05 255168.41 261244.05 274177.28 270667.98 27265.76 287533.41 272157.79 270492.01 267104.69 296226.72 269364.47 26979.31 269101.21 269
LoFTR273.51 254310.65 256162.12 259147.25 264160.13 269918.31 28321.42 245586.82 277125.36 265541.95 26820.52 238254.36 274387.55 27046.65 26071.86 263
WB-MVS316.44 255357.41 257193.51 265257.06 276213.32 278914.45 28149.03 284600.77 279186.42 273634.00 28075.03 286251.35 273411.39 27288.55 272115.87 273
SSC-MVS320.23 256364.09 258188.66 264260.78 277193.84 273975.93 28873.11 292596.72 278185.29 272589.02 27474.47 285246.01 272427.42 27594.06 275126.12 275
UWE-MVS-28327.73 257369.67 259201.90 266281.09 284210.75 276832.98 28074.67 295680.98 286198.23 276613.42 277112.56 299259.80 275418.76 273114.35 280135.15 282
MatchFormer330.86 258378.56 260187.76 263176.61 266188.47 2721141.98 30125.30 251698.47 287149.83 268667.80 28122.42 239297.22 278470.67 27753.93 26177.59 265
testing91347.05 259389.92 261218.43 268275.92 282241.43 281923.71 28471.70 288667.65 284217.04 280629.00 278113.33 300281.39 277495.50 279115.45 282132.47 278
testing11348.86 260393.09 262216.15 267275.24 281239.53 280915.55 28272.35 289679.89 285215.75 279633.79 279118.08 301276.62 276509.56 287117.61 286132.30 277
dongtai360.45 261401.64 263236.89 272303.10 286262.16 288963.12 28572.78 290622.82 282199.37 277708.06 284130.96 304310.90 281506.46 286108.11 278137.60 284
Syy-MVS370.76 262415.60 265236.25 271310.54 287210.76 277965.13 28698.58 311746.06 292266.26 289788.85 29191.37 290364.76 289357.17 268116.42 283133.22 280
tmp_tt371.08 263412.78 264246.00 275231.00 271197.00 2741293.00 308376.00 360756.00 294609.00 33871.00 214106.00 297195.00 266102.00 224171.00 308346.00 334
UWE-MVS387.98 264438.66 267235.93 270349.32 294257.61 2861081.50 29682.45 300637.74 283257.12 286738.54 286134.25 305308.00 279531.93 289135.11 293142.17 285
myMVS_eth3d390.90 265437.44 266251.28 277310.54 287255.86 284965.13 28698.58 311746.06 292266.26 289788.85 291154.95 312364.76 289490.19 278116.42 283133.22 280
RPSCF394.81 266445.63 268242.35 273276.55 283253.63 2831207.27 30590.69 305715.56 288241.57 283684.87 282111.96 298320.02 283548.38 291133.81 292153.39 290
WB-MVSnew404.84 267458.00 269245.36 274374.70 300320.27 2971193.74 30472.90 291773.77 295238.30 281688.22 28390.05 289308.59 280532.76 290157.54 301107.21 271
testing99408.82 268462.15 270248.86 276322.45 290269.42 2891118.93 29973.26 293719.36 290262.28 287772.10 288150.98 311327.08 284601.98 295137.99 294150.07 288
testing3418.10 269469.06 271265.23 281335.69 291290.63 2911240.88 30693.72 306717.99 289215.31 278811.97 297232.41 343358.74 287458.67 276114.88 281146.32 286
myMVS_eth3d28418.40 270473.07 272254.39 278261.18 278313.04 2931172.79 30374.16 294929.18 304264.68 288745.72 287139.03 309318.91 282549.18 292121.71 288131.21 276
testing222430.52 271487.50 275259.56 280379.87 304282.69 2901138.34 30081.30 298880.86 299281.58 293834.27 299135.83 307333.22 285514.90 288140.56 295162.76 292
MASt3R-SfM432.55 272498.24 278235.48 269246.34 275235.93 2791447.80 31032.85 267924.84 303196.39 275881.24 30333.31 257367.13 292643.29 30378.11 268103.39 270
EG-PatchMatch MVS437.03 273493.12 276268.77 282264.80 279260.20 2871491.80 31398.00 310723.20 291238.80 282722.40 28563.10 282382.00 294629.00 299207.00 317164.10 295
ADS-MVSNet2443.33 274482.84 273324.79 296434.94 317387.73 3091110.57 29787.69 302887.02 300282.92 294779.29 28998.57 294422.76 304502.40 280162.19 306163.87 293
ADS-MVSNet443.33 274482.84 273324.79 296434.94 317387.73 3091110.57 29787.69 302887.02 300282.92 294779.29 28998.57 294422.76 304502.40 280162.19 306163.87 293
ETVMVS443.50 276498.07 277279.78 283378.05 303321.57 2981163.68 30287.12 301897.50 302269.81 291822.83 298141.20 310334.53 286568.21 294154.21 296183.26 302
GLUNet-SfM453.02 277518.66 279256.09 279234.58 272255.96 2851607.37 31633.24 268947.74 305191.46 274875.86 30130.56 247398.99 299672.82 30874.28 267113.32 272
MVP-Stereo473.58 278533.67 280293.33 285376.00 301318.00 2941461.00 31196.00 307835.00 297290.00 297804.00 29497.00 292383.00 296688.00 309156.00 298179.00 300
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 278533.67 280293.33 285376.00 301318.00 2941461.00 31196.00 307835.00 297290.00 297804.00 29497.00 292383.00 296688.00 309156.00 298179.00 300
testing3-2489.51 280555.88 283290.42 284362.21 297319.27 2961424.84 30988.81 304964.80 306309.62 300879.13 302174.38 319363.98 288643.82 304155.29 297188.01 304
PatchmatchNetpermissive492.52 281551.22 282316.40 294400.20 311357.90 3061277.10 307115.80 3181034.60 315315.90 301874.00 300155.10 313402.20 301629.50 300158.80 302189.10 305
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmvs501.65 282567.42 284304.33 289395.39 309356.32 3051512.04 314216.53 347994.15 308350.16 309804.16 296119.38 302380.98 293555.14 293159.87 304175.69 298
DELS-MVS514.57 283587.73 286295.12 287343.03 293328.09 3021540.48 315116.22 319988.59 307325.44 305906.22 304119.86 303365.72 291788.60 313161.09 305191.55 307
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 284581.17 285321.48 295361.02 295429.00 3161995.36 32378.48 297796.20 296283.32 296796.02 29396.78 291382.98 295636.72 301186.66 314152.46 289
ArgMatch-SfM559.81 285646.64 291299.29 288273.31 280302.88 2921966.31 32232.78 2661178.38 318242.47 2841172.35 32131.59 255476.65 307841.50 31681.11 271118.35 274
PDCNetPlus580.74 286670.05 292312.81 293293.01 285325.34 2992012.58 32440.24 2761291.32 321244.73 2851126.48 32040.08 268476.71 308892.02 31990.03 274136.37 283
gg-mvs-nofinetune594.69 287605.37 287562.67 325617.29 334500.33 323772.30 273413.12 369579.21 273552.71 332567.40 269662.54 387531.67 310503.93 282779.80 366656.02 350
SR-MVS610.10 288610.10 288610.10 330610.10 328610.10 341610.10 267610.10 393610.10 280610.10 339610.10 275610.10 375610.10 327610.10 296610.10 349610.10 347
CR-MVSNet612.36 289617.81 290596.01 328611.29 330600.33 338790.30 274513.12 384579.21 273552.71 332567.40 269662.54 387531.67 310503.93 282779.80 366656.02 350
IterMVS615.05 290691.66 293385.23 301516.40 321454.80 3191863.80 320102.10 3151142.20 317364.10 3111093.20 318135.00 306480.40 309826.90 314181.20 311220.50 312
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 291700.96 294362.78 299426.10 316409.25 3121822.69 319124.42 3301186.23 319366.85 3121079.42 316190.60 331451.78 306930.72 320181.59 312227.30 313
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 292725.61 295338.98 298319.80 289348.01 3032161.93 32534.42 2691349.94 325274.47 2921311.17 32435.52 258536.43 314953.83 32189.37 273132.49 279
WBMVS655.88 293770.84 298310.98 292391.79 308353.00 3042280.68 32799.17 3141776.79 346301.20 2991123.23 319187.34 329390.28 298620.39 298156.98 300189.66 306
ACMH+729.97 2661.38 294754.00 296383.51 300368.96 299376.38 3072483.74 33982.42 2991089.25 316333.39 3071219.68 32266.53 284573.60 324957.86 322184.14 313200.56 310
SSC-MVS3.2667.82 295787.71 299308.16 290385.94 306327.65 3001718.51 317117.00 3201942.46 352317.12 3021488.73 336183.89 320404.82 302763.70 311172.02 309192.01 308
UBG667.82 295787.71 299308.16 290385.94 306327.65 3001718.51 317117.00 3201942.46 352317.12 3021488.73 336183.89 320404.82 302763.70 311172.02 309192.01 308
Gipumacopyleft689.75 297767.00 297458.00 315613.00 333549.00 3361943.00 321187.00 3441230.00 320518.00 3291092.00 317203.00 337564.00 316892.00 318225.00 327261.00 321
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
DenseAffine716.23 298826.00 301386.90 302338.46 292383.55 3082528.22 34039.18 2701519.44 337321.65 3041502.70 33838.50 263629.37 3311046.88 33399.01 277147.77 287
DKM753.27 299870.09 308402.84 303361.88 296411.34 3132666.28 34443.92 2791620.97 341327.84 3061561.61 34142.38 269642.06 3331096.20 342109.69 279155.12 291
IterMVS-LS758.94 300856.56 304466.10 316606.60 326546.80 3342309.90 328122.20 3291402.80 326463.50 3191348.20 325192.60 332574.60 3251028.60 332234.60 329276.90 323
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
new-patchmatchnet766.12 301859.03 305487.38 320595.68 323536.14 3252346.27 329142.51 3351488.08 328422.43 3151361.32 327163.65 316628.60 3291003.74 331207.61 318297.41 327
SixPastTwentyTwo773.62 302869.37 307486.35 319603.45 325547.15 3352532.14 341106.92 3171434.95 327428.08 3161360.56 326165.15 317628.96 330984.09 323209.01 319282.94 324
mvs_anonymous774.90 303882.28 309452.77 308636.50 335537.20 3262348.80 330120.30 3221504.30 329474.40 3201371.10 328186.90 322564.70 3171078.90 335219.30 320256.40 314
casdiffmvspermissive774.90 303882.28 309452.77 308636.50 335537.20 3262348.80 330120.30 3221504.30 329474.40 3201371.10 328186.90 322564.70 3171078.90 335219.30 320256.40 314
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 303882.28 309452.77 308636.50 335537.20 3262348.80 330120.30 3221504.30 329474.40 3201371.10 328186.90 322564.70 3171078.90 335219.30 320256.40 314
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 303882.28 309452.77 308636.50 335537.20 3262348.80 330120.30 3221504.30 329474.40 3201371.10 328186.90 322564.70 3171078.90 335219.30 320256.40 314
baseline1774.90 303882.28 309452.77 308636.50 335537.20 3262348.80 330120.30 3221504.30 329474.40 3201371.10 328186.90 322564.70 3171078.90 335219.30 320256.40 314
casdiffmvs_mvgpermissive774.90 303882.28 309452.77 308636.50 335537.20 3262348.80 330120.30 3221504.30 329474.40 3201371.10 328186.90 322564.70 3171078.90 335219.30 320256.40 314
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 303882.28 309452.77 308636.50 335537.20 3262348.80 330120.30 3221504.30 329474.40 3201371.10 328186.90 322564.70 3171078.90 335219.30 320256.40 314
PMatch-SfM784.39 310906.45 316418.23 305363.55 298413.41 3142750.56 34642.96 2781663.64 342341.27 3081653.81 34242.46 270676.23 3351182.18 345117.60 285165.06 296
RPMNet787.26 311829.13 302661.63 334885.90 350895.90 358455.98 254610.10 3931297.17 3221002.26 3611001.67 314655.98 385611.10 328667.90 305885.21 378477.90 344
JIA-IIPM804.30 312835.64 303710.26 339885.90 350895.90 358455.98 254668.73 3981297.17 3221002.26 3611001.67 314655.98 385756.98 339667.90 305885.21 378477.90 344
PMatch-Up-SfM815.39 313940.33 318440.56 306382.27 305431.17 3172810.50 34746.03 2821754.44 344360.71 3101728.19 34444.08 271722.27 3371214.00 346122.78 289168.24 297
RoMa-SfM821.88 314947.65 319444.57 307404.53 313436.79 3182814.72 34848.36 2831757.60 345367.99 3131743.22 34550.35 277719.59 3361218.12 347123.95 290177.32 299
CSCG826.03 315963.29 320414.24 304421.52 314426.11 3152230.35 326179.52 3431827.44 347733.43 349933.12 306281.25 345545.23 3151800.35 358262.64 331271.38 322
PVSNet1207.94 6829.56 316937.18 317506.69 321645.55 342585.72 3372477.98 338130.52 3311578.29 338509.50 3281460.01 335194.90 333637.19 3321170.78 344267.07 333297.17 326
PatchT856.34 317860.99 306842.38 3441290.90 365880.90 356790.30 2741267.30 416579.21 273923.90 351567.40 269662.54 387990.23 349887.56 317779.80 366656.02 350
K. test v3877.74 318980.16 321570.46 3271316.85 367813.15 3532565.52 342103.78 3161509.49 336548.33 3311258.90 323219.93 342587.82 3261102.37 343196.30 315310.42 329
DKM-HiRes889.49 3191027.58 329475.22 317423.85 315483.27 3203121.07 34952.45 2851928.03 351389.91 3141854.07 34850.60 278758.69 3401297.31 350130.95 291183.70 303
MVSTER890.06 3201005.91 328542.52 322736.13 347653.90 3452616.56 343145.22 3371692.10 343555.69 3351554.72 340266.25 344660.02 3341219.66 348266.84 332313.64 330
PMVScopyleft863.65 3957.08 3211054.11 330666.00 336401.00 312495.00 3223790.00 354279.00 3491607.00 340521.00 3301745.00 34690.00 2871105.00 360639.00 302415.00 345398.00 341
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ACMH993.80 5967.92 3221106.11 332553.33 323494.00 319534.00 3243581.00 352136.00 3321585.00 339478.00 3271871.00 34990.00 287839.00 3421460.00 351260.00 330287.00 325
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet_01661.03 9968.54 3231066.82 331673.70 337706.94 345695.69 3462669.02 345153.52 3392108.17 355605.54 3371679.14 343213.26 341886.75 3451236.76 349229.01 328438.67 343
OurMVSNet-221017-0999.00 324999.00 322999.00 345999.00 355999.00 360999.00 289999.00 409999.00 309999.00 354999.00 307999.00 400999.00 351999.00 324999.00 385999.00 382
EPMVS999.00 324999.00 322999.00 345999.00 355999.00 360999.00 289999.00 409999.00 309999.00 354999.00 307999.00 400999.00 351999.00 324999.00 385999.00 382
uanet_test1000.00 3261000.00 3241000.00 3481000.00 3581000.00 3631000.00 2921000.00 4121000.00 3111000.00 3571000.00 3101000.00 4031000.00 3541000.00 3271000.00 3881000.00 385
sosnet1000.00 3261000.00 3241000.00 3481000.00 3581000.00 3631000.00 2921000.00 4121000.00 3111000.00 3571000.00 3101000.00 4031000.00 3541000.00 3271000.00 3881000.00 385
USDC1000.00 3261000.00 3241000.00 3481000.00 3581000.00 3631000.00 2921000.00 4121000.00 3111000.00 3571000.00 3101000.00 4031000.00 3541000.00 3271000.00 3881000.00 385
TinyColmap1000.00 3261000.00 3241000.00 3481000.00 3581000.00 3631000.00 2921000.00 4121000.00 3111000.00 3571000.00 3101000.00 4031000.00 3541000.00 3271000.00 3881000.00 385
RoMa-HiRes1034.45 3301193.62 333556.95 324500.36 320544.88 3333519.53 35161.60 2862201.60 357461.12 3182254.28 35360.98 281906.83 3461523.88 353159.21 303219.15 311
ACMP1246.57 71086.24 3311235.17 335639.45 331596.53 324639.91 3433904.24 355152.04 3381851.54 348566.58 3361997.95 351138.50 308938.30 3471605.46 354303.70 339340.14 332
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Patchmtry1090.75 3321198.88 334766.38 3431290.90 365485.90 3212423.98 3371267.30 4161297.17 322923.90 351923.40 3051215.54 408990.23 349667.90 305779.80 366823.02 364
test_04021110.00 3331260.00 336660.00 333900.00 353780.00 3523300.00 350210.00 3462040.00 354690.00 3441950.00 350300.00 348810.00 3411620.00 355330.00 340390.00 340
MVS_111021_LR1136.45 3341298.72 337649.64 332756.17 348726.26 3493785.94 353138.15 3342190.64 356629.63 3422064.39 352165.45 318874.83 3441678.43 357279.70 334347.82 335
ACMM1311.08 81165.06 3351332.72 338662.07 335584.90 322715.99 3484373.59 359153.99 3401880.27 349709.02 3462316.97 354188.63 330939.89 3481484.30 352302.78 338330.34 331
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++1242.93 3361411.08 339738.48 341712.71 346712.68 3474168.17 357136.50 3332276.40 358613.28 3412368.60 357161.61 3151130.38 3611964.54 361297.88 336372.39 337
MG-MVS1256.50 3371432.00 340730.00 340610.00 327760.00 3504720.00 360169.00 3411920.00 350723.00 3482510.00 360201.00 3351050.00 3581645.00 356390.00 343380.00 338
ACMMPR1296.60 3381480.82 341743.96 342899.25 352763.47 3514305.47 358143.90 3362530.94 361683.99 3432346.34 356201.65 3361098.25 3591920.59 360295.21 335370.16 336
TSAR-MVS + GP.1386.84 3391622.84 343678.81 338952.13 354840.17 3555358.21 363170.75 3422650.47 362713.54 3472394.28 358209.42 340855.56 3431854.36 359302.42 337340.71 333
FPMVS1407.00 3401495.59 3421141.23 353648.01 343893.85 3574124.00 356503.81 3833219.04 365742.72 3502498.84 359157.98 3141727.83 367832.93 315732.98 365802.00 359
DeepC-MVS_fast2190.19 121535.59 3411886.82 345481.89 318847.73 349830.16 3547943.84 379189.23 3452398.83 359691.73 3452341.13 355209.16 339230.25 2701999.25 362360.46 341385.25 339
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 3421869.33 3441025.33 3521030.00 3621023.00 3675311.00 362359.00 3583044.00 363937.00 3532892.00 361332.00 3521440.00 3642312.00 364607.00 348613.00 349
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 3432113.11 3461173.33 3561231.00 3631174.00 3686297.00 365392.00 3633356.00 3671087.00 3633082.00 362361.00 3561670.00 3662523.00 366689.00 355676.00 354
OpenMVS_ROBcopyleft1936.51 101959.51 3442224.88 3481163.39 3551253.91 3641434.22 3717065.71 369272.76 3482472.29 3601647.54 3933538.72 366200.37 3341496.48 3652575.17 367997.45 384559.48 346
CMPMVSbinary2623.62 151983.08 3452156.14 3471463.89 3661414.80 3691517.00 3735239.20 361867.40 4033310.30 3661128.70 3653489.90 365366.75 3572030.20 3782427.60 3651160.60 397844.46 367
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MVS-HIRNet2125.39 3462452.68 3491143.53 3542938.33 4101446.92 3726083.19 364391.74 3623801.71 3701202.10 3673439.72 364492.73 3661304.35 3633048.25 371676.32 354679.32 355
PLCcopyleft2858.82 162192.92 3472474.00 3501349.67 3581407.00 3681356.00 3707164.00 370475.00 3763970.00 3711237.00 3703765.00 369451.00 3631891.00 3723006.00 370791.00 371802.00 359
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVScopyleft2352.88 132263.08 3482530.89 3511459.67 3651767.00 3801591.00 3767932.00 378399.00 3643643.00 3681176.00 3663569.00 367297.00 3471927.00 3743302.00 372693.00 360861.00 368
PCF-MVS4335.85 202272.23 3492597.03 3521297.84 3571701.20 3721332.37 3698105.11 380451.45 3724031.84 3721099.10 3643966.50 370467.45 3641734.05 3682701.68 369848.94 375827.11 365
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x4202340.81 3502643.03 3531434.14 3592025.55 3891629.36 3806542.40 366412.49 3664219.70 3741547.02 3814328.52 372650.74 3821798.26 3693333.17 373727.72 362874.79 369
CHOSEN 1792x26882340.81 3502643.03 3531434.14 3592025.55 3891629.36 3806542.40 366412.49 3664219.70 3741547.02 3814328.52 372650.74 3821798.26 3693333.17 373727.72 362874.79 369
HyFIR lowres test2340.81 3502643.03 3531434.14 3592025.55 3891629.36 3806542.40 366412.49 3664219.70 3741547.02 3814328.52 372650.74 3821798.26 3693333.17 373727.72 362874.79 369
3Dnovator2482.06 142531.17 3532839.56 3561606.00 3671732.00 3761557.00 3758375.00 382483.00 3774370.00 3771371.00 3764200.00 371350.00 3542207.00 3793877.00 379798.00 3721054.00 389
tpmrst2557.50 3542847.12 3571688.66 3701784.08 3811778.25 3907445.50 376342.14 3554471.54 3781534.55 3804382.10 375530.10 3702361.21 3824142.81 383991.22 383926.51 374
AdaColmapbinary2570.77 3552948.61 3581437.24 3621873.64 3821526.60 3747819.77 377373.97 3594970.45 3811479.29 3784648.46 377525.80 3691904.97 3734150.42 384695.69 361880.14 372
SD-MVS2654.53 3563055.56 3611451.45 3631725.60 3731598.35 3779203.30 386315.86 3525016.02 3831363.85 3734894.28 380387.23 3582023.43 3753973.88 380620.04 351732.56 356
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 3573021.57 3591618.12 3682377.67 3961751.39 3898915.70 385567.44 3914569.74 3791236.84 3694615.63 376513.23 3672291.32 3803515.48 376882.39 377811.66 361
LF4IMVS2699.50 3583049.67 3601649.00 3691755.00 3771689.00 3848330.00 381464.00 3744997.00 3821528.00 3794763.00 379568.00 3732296.00 3814215.00 385827.00 374962.00 379
EGC-MVSNET2819.75 3593096.89 3621988.33 3803105.00 4112241.00 4019480.00 390640.00 3974209.00 3731583.00 3864740.00 378547.00 3722797.00 3942644.00 368924.00 381927.00 375
Vis-MVSNetpermissive2877.42 3603170.00 3631999.67 3811673.00 3712042.00 3998593.00 383474.00 3756452.00 3961268.00 3715125.00 383339.00 3533004.00 3964222.00 386384.00 342953.00 378
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2891.50 3613284.78 3641711.67 3711954.00 3831655.00 38310117.00 399445.00 3715102.00 3861375.00 3775126.00 384351.00 3552638.00 3924402.00 387691.00 358842.00 366
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 3623537.00 3651975.67 3782310.00 3942005.00 39810100.00 398626.00 3965753.00 3871803.00 3965179.00 385487.00 3652622.00 3904550.00 3881025.00 3921300.00 396
DeepC-MVS3917.13 193155.06 3633601.83 3661814.72 3762515.52 3991941.53 39410432.50 400589.42 3924789.45 3801298.65 3727677.31 401578.35 3742589.53 3863611.78 378923.52 380913.10 373
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 3643762.89 3671783.33 3741756.00 3781806.00 39112319.00 402307.00 3506319.00 3941557.00 3845763.00 386302.00 3492609.00 3885061.00 391482.00 346935.00 376
OPM-MVS3268.00 3643762.89 3671783.33 3741756.00 3781806.00 39112319.00 402307.00 3506319.00 3941557.00 3845763.00 386302.00 3492609.00 3885061.00 391482.00 346935.00 376
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TAPA-MVS6309.84 213374.90 3663806.99 3692078.63 3832535.47 4002499.25 4098816.16 384456.05 3736255.60 3931664.52 3946704.88 391629.95 3802768.38 3936343.93 405856.35 376968.25 380
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 3674065.89 3741914.35 3772349.10 3952141.30 40012362.70 404417.60 3706717.80 4001759.40 3956497.50 389518.18 3682629.38 3915164.32 393806.40 373972.38 381
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
tpm23617.85 3684007.23 3702449.73 3882012.71 3851698.05 3857351.19 372869.29 4046132.06 3891588.28 3878007.42 4041281.09 4093888.11 4097472.04 4091351.00 3991763.02 405
tpm cat13617.85 3684007.23 3702449.73 3882012.71 3851698.05 3857351.19 372869.29 4046132.06 3891588.28 3878007.42 4041281.09 4093888.11 4097472.04 4091351.00 3991763.02 405
CostFormer3617.85 3684007.23 3702449.73 3882012.71 3851698.05 3857351.19 372869.29 4046132.06 3891588.28 3878007.42 4041281.09 4093888.11 4097472.04 4091351.00 3991763.02 405
tpm3617.85 3684007.23 3702449.73 3882012.71 3851698.05 3857351.19 372869.29 4046132.06 3891588.28 3878007.42 4041281.09 4093888.11 4097472.04 4091351.00 3991763.02 405
MVS_111021_HR3742.80 3724330.34 3751980.20 3792484.31 3982259.52 40214973.80 409515.90 3906500.13 3971949.21 3986146.89 388535.66 3712593.66 3874880.76 390986.37 3821087.43 390
MAR-MVS3973.16 3734387.92 3762728.86 3943345.27 4133341.39 41711403.90 401798.76 4016555.62 3992569.29 4086514.86 390834.97 3943237.43 4065891.08 3961577.54 4041607.76 397
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 3744731.32 3791730.42 3722191.51 3921949.98 39516473.90 411355.33 3567172.90 4051622.98 3917879.79 402434.33 3612428.11 3845762.12 394689.04 356813.18 362
DVP-MVScopyleft3981.10 3744731.32 3791730.42 3722191.51 3921949.98 39516473.90 411355.33 3567172.90 4051622.98 3917879.79 402434.33 3612428.11 3845762.12 394689.04 356813.18 362
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 3764533.33 3772400.00 3872400.00 3972400.00 4037200.00 3712400.00 4207200.00 4072400.00 4077200.00 3962400.00 4132400.00 3837200.00 4072400.00 4112400.00 410
SED-MVS4062.74 3774671.13 3782237.56 3842643.17 4012465.14 40413996.40 406493.26 3787619.38 4082107.24 3997416.93 398610.24 3773088.29 4016075.14 4011078.39 3931159.26 391
MSP-MVS4296.20 3784911.12 3822451.45 3922725.60 4062598.35 41016203.30 410515.86 3867016.02 4012363.85 4036894.28 392887.23 3953023.43 3975973.88 3971620.04 4051732.56 401
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 3794906.56 3812803.67 3953844.00 4143116.00 41513454.00 405901.00 4086511.00 3982794.00 4097365.00 397754.00 3913634.00 4076622.00 4061914.00 4101661.00 400
OMC-MVS5022.26 3805748.82 3832842.58 3964905.27 4163101.27 41414933.60 408812.24 4029278.40 4122959.29 4108800.17 4081092.24 4073806.30 4087568.54 4131389.60 4031620.18 399
CLD-MVS7338.25 3818341.00 3844330.00 3984902.00 4154991.00 41823318.00 418728.00 40014437.00 4224378.00 41313379.00 416824.00 3935708.00 41311429.00 4221674.00 4092291.00 409
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 3828776.23 3854410.16 3995298.55 4175631.53 41934329.90 4201504.57 41811554.00 4213896.41 41215111.00 417812.19 3925985.63 4143516.20 3772963.23 4121613.31 398
ZNCC-MVS9999.00 3839999.00 3869999.00 4019999.00 4209999.00 4229999.00 3919999.00 4259999.00 4139999.00 4169999.00 4099999.00 4179999.00 4159999.00 4149999.00 4169999.00 414
patch_mono-210000.00 38410000.00 38710000.00 40210000.00 42110000.00 42310000.00 39210000.00 42610000.00 41410000.00 41710000.00 41010000.00 41810000.00 41610000.00 41510000.00 41710000.00 415
dcpmvs_210000.00 38410000.00 38710000.00 40210000.00 42110000.00 42310000.00 39210000.00 42610000.00 41410000.00 41710000.00 41010000.00 41810000.00 41610000.00 41510000.00 41710000.00 415
DCPMVS10000.00 38410000.00 38710000.00 40210000.00 42110000.00 42310000.00 39210000.00 42610000.00 41410000.00 41710000.00 41010000.00 41810000.00 41610000.00 41510000.00 41710000.00 415
UA-Net10000.00 38410000.00 38710000.00 40210000.00 42110000.00 42310000.00 39210000.00 42610000.00 41410000.00 41710000.00 41010000.00 41810000.00 41610000.00 41510000.00 41710000.00 415
uncertanet10000.00 38410000.00 38710000.00 40210000.00 42110000.00 42310000.00 39210000.00 42610000.00 41410000.00 41710000.00 41010000.00 41810000.00 41610000.00 41510000.00 41710000.00 415
uanet10000.00 38410000.00 38710000.00 40210000.00 42110000.00 42310000.00 39210000.00 42610000.00 41410000.00 41710000.00 41010000.00 41810000.00 41610000.00 41510000.00 41710000.00 415
MVEpermissive10021.00 2210550.67 39010002.44 39312195.33 4086242.00 4188768.00 42130896.00 4194451.00 42210331.00 4206247.00 41418296.00 418283.00 34621484.00 4237364.00 4085912.00 4156334.00 413
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 39111772.44 3947637.33 4009120.00 4198206.00 42022252.00 4172010.00 41924984.00 4237458.00 41522596.00 4192940.00 41410260.00 42211100.00 4213492.00 4144446.00 412
LTVRE_ROB20565.47 2323378.08 39222805.00 39525097.33 40915500.00 42719201.00 42942712.00 4216055.00 42338388.00 42416926.00 42338534.00 4207071.00 41635653.00 42429475.00 42310584.00 42320438.00 422
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 39334443.44 39627094.33 41029249.00 42825246.00 43051144.00 4226705.00 42442886.00 42522888.00 42448534.00 42113263.00 42437507.00 42579298.00 42416024.00 42418530.00 421
114514_t99999.00 39499999.00 39799999.00 41199999.00 42999999.00 43199999.00 42399999.00 43299999.00 42699999.00 42599999.00 42299999.00 42599999.00 42699999.00 42599999.00 42599999.00 423
PHI-MVS99999.00 39499999.00 39799999.00 41199999.00 42999999.00 43199999.00 42399999.00 43299999.00 42699999.00 42599999.00 42299999.00 42599999.00 42699999.00 42599999.00 42599999.00 423
MP-MVS-pluss833433.63 3961111219.60 40275.70 23374.28 22773.29 236284.50 22711.35 222238.58 23565.86 241255.35 25014.55 223115.69 25210000000.00 43131.94 23438.12 241
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MTAPA833442.10 3971111233.77 40367.09 22265.59 22564.81 229284.50 22710000000.00 438219.97 23059.62 233229.89 24012.72 219103.00 243203.67 25727.93 22933.46 225
XVG-OURS-SEG-HR999999.00 398999999.00 399999999.00 413999999.00 432999999.00 434999999.00 425999999.00 435999999.00 428999999.00 428999999.00 424999999.00 428999999.00 429999999.00 428999999.00 429999999.00 425
XVG-OURS999999.00 398999999.00 399999999.00 413999999.00 432999999.00 434999999.00 425999999.00 435999999.00 428999999.00 428999999.00 424999999.00 428999999.00 429999999.00 428999999.00 429999999.00 425
XVG-ACMP-BASELINE999999.00 398999999.00 399999999.00 413999999.00 432999999.00 434999999.00 425999999.00 435999999.00 428999999.00 428999999.00 424999999.00 428999999.00 429999999.00 428999999.00 429999999.00 425
MED-MVS8343445.32 4017791260.42 40410000000.00 41610000000.00 43510000000.00 43721344.80 41310000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43199999.00 42510000000.00 428
TestfortrainingZip a9168445.40 4028891260.53 40510000000.00 41610000000.00 43510000000.00 43721344.80 41310000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
mamba_040810000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
icg_test_0407_210000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
SSM_0407210000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
SSM_040710000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
IMVS_040710000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
IMVS_040410000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
SSM_040410000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
IMVS_040310000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
SD_040310000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
aaEdge-Enhanced10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
NormalMVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
lecture10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
SymmetryMVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
Elysia10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
StellarMVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
KinetiMVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
LuminaMVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
VortexMVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
AstraMVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
guyue10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
sc_t110000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
tt0320-xc10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
tt032010000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
MVSMamba_PlusPlus10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
MGCFI-Net10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
sasdasda10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
dmvs_re10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
SDMVSNet10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
dmvs_testset10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
sd_testset10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
BridgeMVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
MonoMVSNet10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
test250610000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
test111110000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
ECVR-MVScopyleft10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
test_blank10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
tt080510000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
Anonymous2024052110000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
cl2210000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
miper_ehance_all_eth10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
miper_enhance_ethall10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
cl____10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
DIV-MVS_self_test10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
eth_miper_zixun_eth10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
ET-MVSNet_ETH3D10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
UniMVSNet_ETH3D10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
miper_lstm_enhance10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
D2MVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
test_yl10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
thisisatest053010000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
Anonymous2024052910000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
Anonymous20240521110000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
DCV-MVSNet10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
tttt051710000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
our_test_310000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
thisisatest051510000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
ppachtmachnet_test10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
SMA-MVScopyleft10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
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 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
tfpnnormal10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
tfpn200view910000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
c3_l10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
IterMVS-SCA-FT10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
pmmvs610000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
pmmvs510000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
Anonymous2023121110000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
pmmvs-eth3d10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
Anonymous2023120610000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
SCA10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
Patchmatch-test10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
Patchmatch-RL test10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
canonicalmvs10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
anonymousdsp10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
FIs10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
FC-MVSNet-test10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
sosnet-low-res10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
AllTest10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
RRT-MVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
balanced_ft_v110000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
HPM-MVS++copyleft10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
XVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
pm-mvs110000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
X-MVStestdata10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
APDe-MVScopyleft10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
pmmvs410000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
test-LLR10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
TESTMET0.1,110000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
test-mter10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
testgi10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
test20.0310000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
thres600view710000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
MP-MVScopyleft10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
thres40010000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
test12310000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
thres20010000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
test0.0.03 110000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
pmmvs310000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
EMVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
E-PMN10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
PGM-MVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
MCST-MVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
MVS_Test10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
PMMVS210000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
PM-MVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
HQP_MVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
mPP-MVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
mvsmamba10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
HPM-MVS_fast10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
HPM-MVScopyleft10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
EPNet_dtu10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
NCCC10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
CP-MVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
CPTT-MVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
HQP-MVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
IS-MVSNet10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
PAPM_NR10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
PAPR10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
Vis-MVSNet (Re-imp)10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
PatchMatch-RL10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
TDRefinement10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
EPP-MVSNet10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
PMMVS10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
PAPM10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
ACMMPcopyleft10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
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 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
wuyk23d10000000.00 40310000000.00 40610000000.00 41610000000.00 43510000000.00 43710000000.00 42810000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
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 310400.00 311400.00 245400.00 365400.00 267
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
PatchmatchNet1copyleft400.00 271400.00 344400.00 342
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
PatchmatchNet3copyleft400.00 300
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo. CVPR 2021
test-26052499999.00 42999999.00 43199999.00 43299999.00 42599999.00 42599999.00 42699999.00 42599999.00 425
aaatest10000000.00 41610000000.00 43510000000.00 43721344.80 41310000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43210000000.00 43110000000.00 43210000000.00 428
TestfortrainingZip3151.39 3973151.39 4123151.39 41621344.80 4133151.39 4213151.39 3643151.39 4113151.39 3633151.39 4153151.39 4053151.39 4133151.39 411
WAC-MVS248.46 282422.23 274
FOURS12643.17 4012465.14 40413996.40 406493.26 3787619.38 4082107.24 399
MSC_two_6792asdad2237.56 3842643.17 4012465.14 404493.26 3783088.29 4016075.14 4011078.39 3931159.26 391
PC_three_14527619.38 4082107.24 3997416.93 398610.24 3773088.29 4016075.14 4011078.39 3931159.26 391
No_MVS2237.56 3842643.17 4012465.14 404493.26 3783088.29 4016075.14 4011078.39 3931159.26 391
test_one_06012643.17 4012465.14 404493.26 3787619.38 4082107.24 3997416.93 398610.24 377
eth-test21.42 140
eth-test10000000.00 435
ZD-MVS1584.00 3701821.00 393378.00 3613721.00 3691231.00 3681833.00 347321.00 3511224.00 3622103.00 363692.00 359
RE-MVS-def610.10 288610.10 328610.10 341610.10 267610.10 393610.10 280610.10 339610.10 275610.10 375610.10 296610.10 349610.10 347
IU-MVS2725.60 4062598.35 410515.86 3867016.02 4012363.85 4035973.88 3971620.04 4051732.56 401
OPU-MVS2451.45 3922725.60 4062598.35 4109203.30 3866894.28 392887.23 3953023.43 3975973.88 3971620.04 4051732.56 401
test_241102_TWO515.86 3867016.02 4012363.85 4036894.28 392887.23 3953023.43 3975973.88 3971620.04 4051732.56 401
test_241102_ONE2725.60 4062598.35 410515.86 3867016.02 4012363.85 4036894.28 392887.23 3953023.43 397
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 3831363.85 3734894.28 380387.23 3582023.43 3753973.88 380620.04 351732.56 356
test_0728_SECOND1451.45 3631725.60 3731598.35 3779203.30 386315.86 3522023.43 3753973.88 380620.04 351732.56 356
test07261725.60 3731598.35 3779203.30 386315.86 3525016.02 3831363.85 3734894.28 380387.23 358
GSMVS10000000.00 428
test_part210000000.00 43510000000.00 43710000000.00 431
sam_mvs110000000.00 43110000000.00 428
sam_mvs10000000.00 431
ambc999.00 345999.00 355999.00 360999.00 289999.00 409999.00 354999.00 307999.00 400999.00 351999.00 324999.00 385999.00 382
MTGPAbinary10000000.00 438
test_post110000000.00 42810000000.00 42710000000.00 43110000000.00 43210000000.00 431
test_post10000000.00 42710000000.00 43110000000.00 432
patchmatchnet-post10000000.00 42710000000.00 43110000000.00 432
GG-mvs-BLEND596.01 328611.29 330600.33 338790.30 274513.12 384552.71 332567.40 269662.54 387531.67 310503.93 282779.80 366656.02 350
MTMP10000000.00 42810000000.00 438
gm-plane-assit611.29 330600.33 338579.21 273567.40 269531.67 310503.93 282
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 41610000000.00 43510000000.00 43710000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
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 43510000000.00 437
plane_prior610000000.00 43510000000.00 43710000000.00 431
plane_prior510000000.00 43810000000.00 43210000000.00 43110000000.00 43210000000.00 428
plane_prior410000000.00 427
plane_prior310000000.00 43710000000.00 43110000000.00 431
plane_prior210000000.00 42810000000.00 431
plane_prior110000000.00 435
plane_prior1.00 1342.00 1722.00 1732.00 171
n214.20 234
nn1.42 142
door-mid1.42 142
lessismore_v0569.20 326667.25 344644.68 34496.45 309428.86 3171514.17 339204.21 338756.58 3381061.60 334197.79 316306.34 328
LGP-MVS_train10000000.00 41610000000.00 43510000000.00 43710000000.00 43810000000.00 43110000000.00 43110000000.00 42710000000.00 43110000000.00 43210000000.00 43110000000.00 43210000000.00 428
test111.00 135
door99.00 313
HQP5-MVS10000000.00 437
HQP-NCC10000000.00 43510000000.00 42810000000.00 43110000000.00 431
ACMP_Plane10000000.00 43510000000.00 42810000000.00 43110000000.00 431
BP-MVS10000000.00 431
HQP4-MVS10000000.00 43110000000.00 43210000000.00 428
HQP3-MVS10000000.00 43810000000.00 432
HQP2-MVS10000000.00 431
NP-MVS10000000.00 43510000000.00 43710000000.00 427
MDTV_nov1_ep13_2view9.99 1949.99 1929.99 1939.99 1929.99 1999.99 1909.99 193
MDTV_nov1_ep139.99 1809.99 1939.99 1949.99 1929.99 2079.99 1939.99 1929.99 1899.99 1999.99 1939.99 1909.99 196
ACMMP++_ref10000000.00 432
ACMMP++10000000.00 432
Test By Simon990.00 399
ITE_SJBPF2014.00 3821998.00 3841992.00 397701.00 3995989.00 3881812.00 3973612.00 368650.00 3812852.00 3954601.00 3891195.00 3981198.00 395
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