High-resolution multi-view benchmark

This table lists the benchmark results for the high-res multi-view scenario. The following metrics are evaluated:

(*) For exact definitions, detailing how potentially incomplete ground truth is taken into account, see our paper.

The datasets are grouped into different categories, and result averages are computed for a category and method if results of the method are available for all datasets within the category. Note that the category "all" includes both the high-res multi-view and the low-res many-view scenarios.

Methods with suffix _ROB may participate in the Robust Vision Challenge.

Click a dataset result cell to show a visualization of the reconstruction. For training datasets, ground truth and accuracy / completeness visualizations are also available. The visualizations may not work with mobile browsers.




Method Infoallhigh-res
multi-view		indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort by
0.4-1-1-0.20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
wanda-best-256-5120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_dtu_shiyan20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_dtu_shiyan10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blended_shiyan80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E5new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-blended-shiyan70.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E6new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blended_shiyan60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_blend_shiyan50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blend_shiyan40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E3new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_100.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt070.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt090.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt130.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewcassd2359sk110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmacassd2359aftdt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmsd2359difaftdt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
diffmvs_AUTHOR0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmambaseed2359dif0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmanbaseed2359cas0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_70.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n_20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf0.1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf0.01_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmvis_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsm_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_cas_vis1_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
mvsany_test10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
APD_test10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_rt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis3_rt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
mvsany_test30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testf10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
APD_test20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_f0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
SF-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
9.140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MGCNet0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
train_agg0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
agg_prior0.00 10.00 10.00 10.00 10.00 1
HFP-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
region2R0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_prior20.00 10.00 10.00 10.00 10.00 10.00 10.00 1
旧先验20.00 10.00 10.00 10.00 10.00 1
新几何10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test2220.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
13140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
QAPM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
h-mvs330.30 790.30 800.30 840.30 910.30 910.30 910.30 920.30 910.30 900.30 880.30 900.30 910.30 890.30 890.30 89
hse-mvs20.30 790.30 800.30 840.30 910.30 910.30 910.30 920.30 910.30 900.30 880.30 900.30 910.30 890.30 890.30 89
CL-MVSNet_self_test0.30 790.30 800.30 840.30 910.30 910.30 910.30 920.30 910.30 900.30 880.30 900.30 910.30 890.30 890.30 89
AUN-MVS0.30 790.30 800.30 840.30 910.30 910.30 910.30 920.30 910.30 900.30 880.30 900.30 910.30 890.30 890.30 89
LCM-MVSNet0.37 830.36 840.37 880.37 950.37 950.37 950.32 960.37 950.37 940.37 920.37 940.37 950.37 930.37 930.37 93
v1441920.40 840.40 850.40 890.40 960.40 960.40 960.40 980.40 960.40 950.40 930.40 950.40 960.40 940.40 940.40 94
v19219200.40 840.40 850.40 890.40 960.40 960.40 960.40 980.40 960.40 950.40 930.40 950.40 960.40 940.40 940.40 94
v11920.40 840.40 850.40 890.40 960.40 960.40 960.40 980.40 960.40 950.40 930.40 950.40 960.40 940.40 940.40 94
v11440.40 840.40 850.40 890.40 960.40 960.40 960.40 980.40 960.40 950.40 930.40 950.40 960.40 940.40 940.40 94
v1480.40 840.40 850.40 890.40 960.40 960.40 960.40 980.40 960.40 950.40 930.40 950.40 960.40 940.40 940.40 94
v7n0.40 840.40 850.40 890.40 960.40 960.40 960.40 980.40 960.40 950.40 930.40 950.40 960.40 940.40 940.40 94
v12400.40 840.40 850.40 890.40 960.40 960.40 960.40 980.40 960.40 950.40 930.40 950.40 960.40 940.40 940.40 94
v80.40 840.40 850.40 890.40 960.40 960.40 960.40 980.40 960.40 950.40 930.40 950.40 960.40 940.40 940.40 94
v100.40 840.40 850.40 890.40 960.40 960.40 960.40 980.40 960.40 950.40 930.40 950.40 960.40 940.40 940.40 94
v2v4820.40 840.40 850.40 890.40 960.40 960.40 960.40 980.40 960.40 950.40 930.40 950.40 960.40 940.40 940.40 94
V420.40 840.40 850.40 890.40 960.40 960.40 960.40 980.40 960.40 950.40 930.40 950.40 960.40 940.40 940.40 94
GA-MVS0.40 840.40 850.40 890.40 960.40 960.40 960.40 980.40 960.40 950.40 930.40 950.40 960.40 940.40 940.40 94
Fast-Effi-MVS+0.41 960.40 850.41 1010.41 1080.41 1080.41 1080.35 970.41 1080.41 1070.41 1050.41 1070.41 1080.41 1060.41 1060.41 106
Fast-Effi-MVS+-dtu0.44 970.44 980.44 1020.44 1090.44 1090.44 1090.44 1100.44 1090.44 1080.44 1060.44 1080.44 1090.44 1070.44 1070.44 107
Effi-MVS+-dtu0.59 990.61 1010.53 1030.68 1170.53 1100.53 1100.68 1180.68 1170.53 1090.53 1070.68 1160.53 1100.68 1150.53 1080.53 108
KD-MVS_self_test0.60 1000.60 1000.60 1040.60 1110.60 1110.60 1120.60 1120.60 1110.60 1100.60 1080.60 1100.60 1110.60 1080.60 1100.60 109
EIA-MVS0.62 1010.62 1020.62 1050.62 1120.62 1120.62 1130.62 1130.62 1120.62 1110.62 1090.62 1110.62 1120.62 1090.62 1110.62 110
ETV-MVS0.62 1010.62 1020.62 1050.62 1120.62 1120.62 1130.62 1130.62 1120.62 1110.62 1090.62 1110.62 1120.62 1090.62 1110.62 110
CS-MVS0.62 1010.62 1020.62 1050.62 1120.62 1120.62 1130.62 1130.62 1120.62 1110.62 1090.62 1110.62 1120.62 1090.62 1110.62 110
SPE-MVS-test0.62 1010.62 1020.62 1050.62 1120.62 1120.62 1130.62 1130.62 1120.62 1110.62 1090.62 1110.62 1120.62 1090.62 1110.62 110
Effi-MVS+0.58 980.56 990.62 1050.53 1100.62 1120.53 1100.53 1110.53 1100.62 1110.62 1090.53 1090.62 1120.62 1090.53 1080.62 110
EC-MVSNet0.62 1010.62 1020.62 1050.62 1120.62 1120.62 1130.62 1130.62 1120.62 1110.62 1090.62 1110.62 1120.62 1090.62 1110.62 110
CDS-MVSNet0.88 1060.88 1070.88 1110.88 1180.88 1180.88 1180.88 1190.88 1180.88 1170.88 1150.88 1170.88 1180.88 1160.88 1160.88 116
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 1060.88 1070.88 1110.88 1180.88 1180.88 1180.88 1190.88 1180.88 1170.88 1150.88 1170.88 1180.88 1160.88 1160.88 116
LCM-MVSNet-Re0.89 1080.89 1090.89 1130.89 1200.89 1200.89 1200.89 1210.89 1200.89 1190.89 1170.89 1190.89 1200.89 1180.89 1180.89 118
DeepMVS_CXcopyleft1.00 1141.00 1211.00 1211.00 1221.00 1211.00 1201.00 1181.00 1201.00 1211.00 1191.00 1191.00 119
MDA-MVSNet-bldmvs1.20 1091.20 1101.20 1151.20 1221.20 1231.20 1211.20 1241.20 1221.20 1211.20 1191.20 1211.20 1221.20 1201.20 1201.20 120
YYNet11.20 1091.20 1101.20 1151.20 1221.20 1231.20 1211.20 1241.20 1221.20 1211.20 1191.20 1211.20 1221.20 1201.20 1201.20 120
MDA-MVSNet_test_wron1.20 1091.20 1101.20 1151.20 1221.20 1231.20 1211.20 1241.20 1221.20 1211.20 1191.20 1211.20 1221.20 1201.20 1201.20 120
KD-MVS_2432*16001.30 1121.30 1131.30 1181.30 1251.30 1261.30 1241.30 1271.30 1251.30 1241.30 1221.30 1241.30 1251.30 1231.30 1231.30 123
miper_refine_blended1.30 1121.30 1131.30 1181.30 1251.30 1261.30 1241.30 1271.30 1251.30 1241.30 1221.30 1241.30 1251.30 1231.30 1231.30 123
EI-MVSNet-UG-set1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
EI-MVSNet-Vis-set1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
EI-MVSNet1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
Regformer1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
CVMVSNet1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
EU-MVSNet1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
PS-CasMVS1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
UniMVSNet_NR-MVSNet1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
PEN-MVS1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
TransMVSNet (Re)1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
DTE-MVSNet1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
DU-MVS1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
UniMVSNet (Re)1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
CP-MVSNet1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
WR-MVS_H1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
WR-MVS1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
NR-MVSNet1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
Baseline_NR-MVSNet1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
TranMVSNet+NR-MVSNet1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
MVSFormer1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
jason1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
jason: jason.
lupinMVS1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
test_djsdf1.42 1141.42 1151.42 1201.42 1271.42 1281.42 1261.42 1291.42 1271.42 1261.42 1241.42 1261.42 1271.42 1251.42 1251.42 125
reproduce_monomvs1.48 1371.48 1381.48 1431.48 1511.48 1511.48 1491.48 1541.48 1501.48 1491.48 1471.48 1491.48 1501.48 1481.48 1481.48 148
mmtdpeth1.48 1371.48 1381.48 1431.48 1511.48 1511.48 1491.48 1541.48 1501.48 1491.48 1471.48 1491.48 1501.48 1481.48 1481.48 148
reproduce_model1.48 1371.48 1381.48 1431.48 1511.48 1511.48 1491.48 1541.48 1501.48 1491.48 1471.48 1491.48 1501.48 1481.48 1481.48 148
reproduce-ours1.48 1371.48 1381.48 1431.48 1511.48 1511.48 1491.48 1541.48 1501.48 1491.48 1471.48 1491.48 1501.48 1481.48 1481.48 148
our_new_method1.48 1371.48 1381.48 1431.48 1511.48 1511.48 1491.48 1541.48 1501.48 1491.48 1471.48 1491.48 1501.48 1481.48 1481.48 148
mmdepth1.48 1371.48 1381.48 1431.48 1511.48 1511.48 1491.48 1541.48 1501.48 1491.48 1471.48 1491.48 1501.48 1481.48 1481.48 148
monomultidepth1.48 1371.48 1381.48 1431.48 1511.48 1511.48 1491.48 1541.48 1501.48 1491.48 1471.48 1491.48 1501.48 1481.48 1481.48 148
mvs5depth1.48 1371.48 1381.48 1431.48 1511.48 1511.48 1491.48 1541.48 1501.48 1491.48 1471.48 1491.48 1501.48 1481.48 1481.48 148
MVStest11.48 1371.48 1381.48 1431.48 1511.48 1511.48 1491.48 1541.48 1501.48 1491.48 1471.48 1491.48 1501.48 1481.48 1481.48 148
ttmdpeth1.48 1371.48 1381.48 1431.48 1511.48 1511.48 1491.48 1541.48 1501.48 1491.48 1471.48 1491.48 1501.48 1481.48 1481.48 148
alignmvs2.00 1472.00 1482.00 1532.00 1612.00 1612.00 1592.00 1642.00 1602.00 1592.00 1572.00 1592.00 1602.00 1582.00 1582.00 158
nrg0302.00 1472.00 1482.00 1532.00 1612.00 1612.00 1592.00 1642.00 1602.00 1592.00 1572.00 1592.00 1602.00 1582.00 1582.00 158
LFMVS2.00 1472.00 1482.00 1532.00 1612.00 1612.00 1592.00 1642.00 1602.00 1592.00 1572.00 1592.00 1602.00 1582.00 1582.00 158
VDD-MVS2.00 1472.00 1482.00 1532.00 1612.00 1612.00 1592.00 1642.00 1602.00 1592.00 1572.00 1592.00 1602.00 1582.00 1582.00 158
VDDNet2.00 1472.00 1482.00 1532.00 1612.00 1612.00 1592.00 1642.00 1602.00 1592.00 1572.00 1592.00 1602.00 1582.00 1582.00 158
VPNet2.00 1472.00 1482.00 1532.00 1612.00 1612.00 1592.00 1642.00 1602.00 1592.00 1572.00 1592.00 1602.00 1582.00 1582.00 158
VNet2.00 1472.00 1482.00 1532.00 1612.00 1612.00 1592.00 1642.00 1602.00 1592.00 1572.00 1592.00 1602.00 1582.00 1582.00 158
VPA-MVSNet2.00 1472.00 1482.00 1532.00 1612.00 1612.00 1592.00 1642.00 1602.00 1592.00 1572.00 1592.00 1602.00 1582.00 1582.00 158
cascas2.00 1472.00 1482.00 1532.00 1612.00 1612.00 1592.00 1642.00 1602.00 1592.00 1572.00 1592.00 1602.00 1582.00 1582.00 158
UnsupCasMVSNet_eth5.90 1565.90 1575.90 1625.90 1705.90 1705.90 1695.90 1765.90 1705.90 1685.90 1665.90 1705.90 1695.90 1675.90 1705.90 170
UnsupCasMVSNet_bld5.90 1565.90 1575.90 1625.90 1705.90 1705.90 1695.90 1765.90 1705.90 1685.90 1665.90 1705.90 1695.90 1675.90 1705.90 170
WTY-MVS5.90 1565.90 1575.90 1625.90 1705.90 1705.90 1695.90 1765.90 1705.90 1685.90 1665.90 1705.90 1695.90 1675.90 1705.90 170
HY-MVS5.90 15.90 1565.90 1575.90 1625.90 1705.90 1705.90 1695.90 1765.90 1705.90 1685.90 1665.90 1705.90 1695.90 1675.90 1705.90 170
sss5.90 1565.90 1575.90 1625.90 1705.90 1705.90 1695.90 1765.90 1705.90 1685.90 1665.90 1705.90 1695.90 1675.90 1705.90 170
Test_1112_low_res5.90 1565.90 1575.90 1625.90 1705.90 1705.90 1695.90 1765.90 1705.90 1685.90 1665.90 1705.90 1695.90 1675.90 1705.90 170
1112_ss5.90 1565.90 1575.90 1625.90 1705.90 1705.90 1695.90 1765.90 1705.90 1685.90 1665.90 1705.90 1695.90 1675.90 1705.90 170
ab-mvs-re5.90 1565.90 1575.90 1625.90 1705.90 1705.90 1695.90 1765.90 1705.90 1685.90 1665.90 1705.90 1695.90 1675.90 1705.90 170
ab-mvs5.90 1565.90 1575.90 1625.90 1705.90 1705.90 1695.90 1765.90 1705.90 1685.90 1665.90 1705.90 1695.90 1675.90 1705.90 170
CDPH-MVS6.66 1656.66 1666.66 1716.66 1796.66 1796.66 1786.66 1856.66 1796.66 1776.66 1756.66 1796.66 1786.66 1766.66 1796.66 179
dp87.20 185113.80 1897.42 17210.50 1918.88 180298.82 2062.70 173510.35 2257.79 178172.93 1993.37 1689.16 17914.00 1903.71 1684.23 168
MDTV_nov1_ep13_2view9.99 1819.99 1799.99 1809.99 1799.99 1819.99 1779.99 180
MDTV_nov1_ep139.99 1679.99 1809.99 1819.99 1799.99 1879.99 1809.99 1799.99 1769.99 1819.99 1809.99 1779.99 181
xiu_mvs_v1_base_debu10.28 16610.28 16810.28 17310.28 18110.28 18310.28 18110.28 18810.28 18210.28 18110.28 17710.28 18310.28 18110.28 17910.28 18210.28 181
xiu_mvs_v2_base10.28 16610.28 16810.28 17310.28 18110.28 18310.28 18110.28 18810.28 18210.28 18110.28 17710.28 18310.28 18110.28 17910.28 18210.28 181
xiu_mvs_v1_base10.28 16610.28 16810.28 17310.28 18110.28 18310.28 18110.28 18810.28 18210.28 18110.28 17710.28 18310.28 18110.28 17910.28 18210.28 181
xiu_mvs_v1_base_debi10.28 16610.28 16810.28 17310.28 18110.28 18310.28 18110.28 18810.28 18210.28 18110.28 17710.28 18310.28 18110.28 17910.28 18210.28 181
cdsmvs_eth3d_5k10.28 16610.28 16810.28 17310.28 18110.28 18310.28 18110.28 18810.28 18210.28 18110.28 17710.28 18310.28 18110.28 17910.28 18210.28 181
pcd_1.5k_mvsjas10.28 16610.28 16810.28 17310.28 18110.28 18310.28 18110.28 18810.28 18210.28 18110.28 17710.28 18310.28 18110.28 17910.28 18210.28 181
PS-MVSNAJss10.28 16610.28 16810.28 17310.28 18110.28 18310.28 18110.28 18810.28 18210.28 18110.28 17710.28 18310.28 18110.28 17910.28 18210.28 181
PS-MVSNAJ10.28 16610.28 16810.28 17310.28 18110.28 18310.28 18110.28 18810.28 18210.28 18110.28 17710.28 18310.28 18110.28 17910.28 18210.28 181
jajsoiax10.28 16610.28 16810.28 17310.28 18110.28 18310.28 18110.28 18810.28 18210.28 18110.28 17710.28 18310.28 18110.28 17910.28 18210.28 181
mvs_tets10.28 16610.28 16810.28 17310.28 18110.28 18310.28 18110.28 18810.28 18210.28 18110.28 17710.28 18310.28 18110.28 17910.28 18210.28 181
test_method18.29 17820.89 18010.50 18315.00 19313.00 19555.00 1983.00 17434.00 19511.50 19132.50 1895.00 16913.50 19227.00 1935.00 1695.00 169
SR-MVS-dyc-post11.55 17611.55 17811.55 18511.55 19211.55 19411.55 19111.55 20011.55 19211.55 19211.55 18711.55 19411.55 19111.55 18911.55 19211.55 191
GeoE19.41 17922.09 18111.37 18417.21 19511.30 19350.50 1974.30 17533.60 19411.70 19344.50 1947.30 18018.90 19422.60 1927.10 1803.90 167
XXY-MVS15.00 17715.00 17915.00 18615.00 19315.00 19615.00 19215.00 20215.00 19315.00 19415.00 18815.00 19815.00 19315.00 19115.00 19415.00 193
GBi-Net44.67 18449.24 18630.96 18747.53 20047.57 201126.09 1998.00 18676.99 20026.09 19573.50 19611.27 19330.55 19561.12 19812.58 19314.75 192
BH-w/o40.00 18040.00 18240.00 18840.00 19640.00 19740.00 19340.00 22140.00 19640.00 19640.00 19040.00 21540.00 19640.00 19440.00 20840.00 204
BH-untuned40.00 18040.00 18240.00 18840.00 19640.00 19740.00 19340.00 22140.00 19640.00 19640.00 19040.00 21540.00 19640.00 19440.00 20840.00 204
BH-RMVSNet40.00 18040.00 18240.00 18840.00 19640.00 19740.00 19340.00 22140.00 19640.00 19640.00 19040.00 21540.00 19640.00 19440.00 20840.00 204
TR-MVS40.00 18040.00 18240.00 18840.00 19640.00 19740.00 19340.00 22140.00 19640.00 19640.00 19040.00 21540.00 19640.00 19440.00 20840.00 204
new_pmnet88.14 18698.62 18756.70 19298.14 20756.07 202246.79 20115.37 203148.06 20150.77 200143.13 19723.35 19962.65 20093.26 19968.71 21851.38 214
N_pmnet88.14 18698.62 18756.70 19298.14 20756.07 202246.79 20115.37 203148.06 20150.77 200143.13 19723.35 19962.65 20093.26 19968.71 21851.38 214
MTAPA833442.10 3381111233.77 34467.09 19465.59 20164.81 204284.50 20310000000.00 376219.97 20659.62 202229.89 21012.72 195103.00 215203.67 21627.93 19533.46 194
MP-MVS-pluss833433.63 3371111219.60 34375.70 19874.28 20273.29 205284.50 20311.35 198238.58 20765.86 203255.35 21514.55 196115.69 21710000000.00 37031.94 19638.12 202
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 191133.18 19375.70 19874.28 20273.29 205284.50 20311.35 198238.58 20765.86 203255.35 21514.55 196115.69 217222.18 21731.94 19638.12 202
CANet110.62 188124.04 19070.34 19582.03 20474.27 207325.54 20725.25 206207.16 20369.28 205194.38 20027.53 20195.79 209147.76 20337.43 19840.97 208
CANet_DTU110.62 188124.04 19070.34 19582.03 20474.27 207325.54 20725.25 206207.16 20369.28 205194.38 20027.53 20195.79 209147.76 20337.43 19840.97 208
UGNet110.62 188124.04 19070.34 19582.03 20474.27 207325.54 20725.25 206207.16 20369.28 205194.38 20027.53 20195.79 209147.76 20337.43 19840.97 208
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
FMVSNet5124.76 192140.93 19476.26 200107.44 210100.17 214329.88 21027.12 212259.44 21274.30 208204.34 20330.74 20492.41 202196.98 20638.15 20136.19 195
test1124.76 192140.93 19476.26 200107.44 210100.17 214329.88 21027.12 212259.44 21274.30 208204.34 20330.74 20492.41 202196.98 20638.15 20136.19 195
FMVSNet3124.76 192140.93 19476.26 200107.44 210100.17 214329.88 21027.12 212259.44 21274.30 208204.34 20330.74 20492.41 202196.98 20638.15 20136.19 195
FMVSNet2124.76 192140.93 19476.26 200107.44 210100.17 214329.88 21027.12 212259.44 21274.30 208204.34 20330.74 20492.41 202196.98 20638.15 20136.19 195
FMVSNet1124.76 192140.93 19476.26 200107.44 210100.17 214329.88 21027.12 212259.44 21274.30 208204.34 20330.74 20492.41 202196.98 20638.15 20136.19 195
MIMVSNet1124.76 192140.93 19476.26 200107.44 210100.17 214329.88 21027.12 212259.44 21274.30 208204.34 20330.74 20492.41 202196.98 20638.15 20136.19 195
MIMVSNet124.76 192140.93 19476.26 200107.44 210100.17 214329.88 21027.12 212259.44 21274.30 208204.34 20330.74 20492.41 202196.98 20638.15 20136.19 195
PVSNet_Blended_VisFu136.90 200155.40 20281.40 207111.00 21796.20 211407.00 21725.90 209251.60 20985.10 215240.50 21137.00 21199.90 212199.80 21340.70 21248.10 211
PVSNet_BlendedMVS136.90 200155.40 20281.40 207111.00 21796.20 211407.00 21725.90 209251.60 20985.10 215240.50 21137.00 21199.90 212199.80 21340.70 21248.10 211
PVSNet_Blended136.90 200155.40 20281.40 207111.00 21796.20 211407.00 21725.90 209251.60 20985.10 215240.50 21137.00 21199.90 212199.80 21340.70 21248.10 211
DSMNet-mixed131.33 199143.00 20196.33 21099.00 20981.00 210201.00 20045.00 226335.00 21999.00 218251.00 21438.00 214110.00 216120.00 20299.00 22498.00 220
BP-MVS1202.65 203232.15 205114.16 211183.40 221141.78 221655.87 22524.69 205372.56 220109.76 219356.89 21747.15 219139.51 219284.15 21954.86 21561.20 216
FE-MVS207.10 204234.26 206125.61 212180.34 220153.23 222635.64 22430.05 219378.38 221127.68 220377.08 21848.95 220154.43 220266.67 21863.56 21669.18 217
GDP-MVS219.79 205249.11 207131.85 213187.15 222155.97 223667.31 22630.57 220398.95 222131.26 221387.86 21958.83 222164.55 221315.00 22065.03 21775.04 218
FA-MVS(test-final)261.15 206293.29 208164.72 214236.23 225199.99 228800.05 23242.35 225475.87 224155.47 222470.67 22158.49 221205.24 223319.44 22181.03 22188.93 219
kuosan267.89 208301.05 210168.41 215244.05 226177.28 224667.98 22765.76 228533.41 226157.79 223492.01 222104.69 237226.72 224364.47 22479.31 220101.21 222
DP-MVS264.78 207296.02 209171.04 216191.70 223183.96 225827.10 23378.36 237438.24 223176.64 224435.12 22065.04 224230.52 226334.02 222117.96 23298.64 221
SSC-MVS320.23 210364.09 212188.66 217260.78 228193.84 226975.93 24173.11 233596.72 231185.29 225589.02 22874.47 226246.01 227427.42 22894.06 223126.12 225
WB-MVS316.44 209357.41 211193.51 218257.06 227213.32 231914.45 23549.03 227600.77 232186.42 226634.00 23475.03 227251.35 228411.39 22588.55 222115.87 224
UWE-MVS-28327.73 211369.67 213201.90 219281.09 234210.75 229832.98 23474.67 236680.98 239198.23 227613.42 231112.56 240259.80 229418.76 226114.35 226135.15 231
dongtai360.45 214401.64 216236.89 224303.10 235262.16 239963.12 23872.78 231622.82 235199.37 228708.06 237130.96 245310.90 234506.46 238108.11 225137.60 232
testing3418.10 222469.06 224265.23 232335.69 239290.63 2421240.88 25893.72 247717.99 241215.31 229811.97 250232.41 284358.74 240458.67 229114.88 227146.32 234
testing11348.86 213393.09 215216.15 220275.24 231239.53 232915.55 23672.35 230679.89 238215.75 230633.79 233118.08 242276.62 230509.56 239117.61 231132.30 227
testing91347.05 212389.92 214218.43 221275.92 232241.43 233923.71 23771.70 229667.65 237217.04 231629.00 232113.33 241281.39 231495.50 231115.45 228132.47 228
WB-MVSnew404.84 220458.00 222245.36 226374.70 245320.27 2471193.74 25672.90 232773.77 247238.30 232688.22 23690.05 230308.59 233532.76 242157.54 243107.21 223
EG-PatchMatch MVS437.03 225493.12 229268.77 233264.80 230260.20 2381491.80 26498.00 251723.20 243238.80 233722.40 23863.10 223382.00 246629.00 251207.00 258164.10 241
RPSCF394.81 219445.63 221242.35 225276.55 233253.63 2351207.27 25790.69 246715.56 240241.57 234684.87 235111.96 239320.02 236548.38 243133.81 234153.39 237
UWE-MVS387.98 217438.66 220235.93 222349.32 241257.61 2371081.50 24982.45 241637.74 236257.12 235738.54 239134.25 246308.00 232531.93 241135.11 235142.17 233
testing99408.82 221462.15 223248.86 228322.45 238269.42 2401118.93 25273.26 234719.36 242262.28 236772.10 241150.98 252327.08 237601.98 247137.99 236150.07 235
myMVS_eth3d28418.40 223473.07 225254.39 230261.18 229313.04 2431172.79 25574.16 235929.18 255264.68 237745.72 240139.03 250318.91 235549.18 244121.71 233131.21 226
Syy-MVS370.76 215415.60 218236.25 223310.54 236210.76 230965.13 23998.58 252746.06 244266.26 238788.85 24491.37 231364.76 242357.17 223116.42 229133.22 229
myMVS_eth3d390.90 218437.44 219251.28 229310.54 236255.86 236965.13 23998.58 252746.06 244266.26 238788.85 244154.95 253364.76 242490.19 230116.42 229133.22 229
ETVMVS443.50 228498.07 230279.78 234378.05 248321.57 2481163.68 25487.12 242897.50 254269.81 240822.83 251141.20 251334.53 239568.21 246154.21 238183.26 245
testing222430.52 224487.50 228259.56 231379.87 249282.69 2411138.34 25381.30 239880.86 251281.58 241834.27 252135.83 248333.22 238514.90 240140.56 237162.76 238
ADS-MVSNet2443.33 226482.84 226324.79 245434.94 258387.73 2561110.57 25087.69 243887.02 252282.92 242779.29 24298.57 235422.76 254502.40 232162.19 247163.87 239
ADS-MVSNet443.33 226482.84 226324.79 245434.94 258387.73 2561110.57 25087.69 243887.02 252282.92 242779.29 24298.57 235422.76 254502.40 232162.19 247163.87 239
DP-MVS Recon516.25 235581.17 236321.48 244361.02 242429.00 2601995.36 27278.48 238796.20 248283.32 244796.02 24696.78 232382.98 247636.72 253186.66 255152.46 236
MVP-Stereo473.58 229533.67 231293.33 236376.00 246318.00 2441461.00 26296.00 248835.00 249290.00 245804.00 24797.00 233383.00 248688.00 259156.00 240179.00 243
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 229533.67 231293.33 236376.00 246318.00 2441461.00 26296.00 248835.00 249290.00 245804.00 24797.00 233383.00 248688.00 259156.00 240179.00 243
WBMVS655.88 241770.84 246310.98 242391.79 252353.00 2522280.68 27499.17 2551776.79 288301.20 2471123.23 270187.34 270390.28 250620.39 250156.98 242189.66 248
testing3-2489.51 231555.88 234290.42 235362.21 243319.27 2461424.84 26188.81 245964.80 256309.62 248879.13 254174.38 260363.98 241643.82 255155.29 239188.01 246
PatchmatchNetpermissive492.52 232551.22 233316.40 243400.20 254357.90 2541277.10 259115.80 2591034.60 265315.90 249874.00 253155.10 254402.20 251629.50 252158.80 244189.10 247
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
SSC-MVS3.2667.82 243787.71 247308.16 240385.94 250327.65 2491718.51 267117.00 2611942.46 293317.12 2501488.73 284183.89 261404.82 252763.70 261172.02 250192.01 250
UBG667.82 243787.71 247308.16 240385.94 250327.65 2491718.51 267117.00 2611942.46 293317.12 2501488.73 284183.89 261404.82 252763.70 261172.02 250192.01 250
DELS-MVS514.57 234587.73 237295.12 238343.03 240328.09 2511540.48 266116.22 260988.59 257325.44 252906.22 255119.86 244365.72 244788.60 263161.09 246191.55 249
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
ACMH+729.97 2661.38 242754.00 244383.51 248368.96 244376.38 2552483.74 28682.42 2401089.25 266333.39 2531219.68 27166.53 225573.60 271957.86 269184.14 254200.56 252
tpmvs501.65 233567.42 235304.33 239395.39 253356.32 2531512.04 265216.53 288994.15 258350.16 254804.16 249119.38 243380.98 245555.14 245159.87 245175.69 242
IterMVS615.05 239691.66 242385.23 249516.40 261454.80 2611863.80 270102.10 2561142.20 267364.10 2551093.20 269135.00 247480.40 257826.90 264181.20 252220.50 253
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 240700.96 243362.78 247426.10 257409.25 2581822.69 269124.42 2711186.23 268366.85 2561079.42 267190.60 272451.78 256930.72 268181.59 253227.30 254
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
new-patchmatchnet766.12 247859.03 252487.38 262595.68 263536.14 2662346.27 276142.51 2761488.08 275422.43 2571361.32 275163.65 257628.60 2761003.74 278207.61 259297.41 268
SixPastTwentyTwo773.62 248869.37 254486.35 261603.45 265547.15 2752532.14 287106.92 2581434.95 274428.08 2581360.56 274165.15 258628.96 277984.09 270209.01 260282.94 265
lessismore_v0569.20 267667.25 284644.68 28496.45 250428.86 2591514.17 286204.21 279756.58 2801061.60 280197.79 257306.34 269
IterMVS-LS758.94 246856.56 251466.10 259606.60 266546.80 2742309.90 275122.20 2701402.80 273463.50 2601348.20 273192.60 273574.60 2721028.60 279234.60 270276.90 264
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
mvs_anonymous774.90 249882.28 255452.77 251636.50 275537.20 2672348.80 277120.30 2631504.30 276474.40 2611371.10 276186.90 263564.70 2641078.90 281219.30 261256.40 255
casdiffmvspermissive774.90 249882.28 255452.77 251636.50 275537.20 2672348.80 277120.30 2631504.30 276474.40 2611371.10 276186.90 263564.70 2641078.90 281219.30 261256.40 255
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 249882.28 255452.77 251636.50 275537.20 2672348.80 277120.30 2631504.30 276474.40 2611371.10 276186.90 263564.70 2641078.90 281219.30 261256.40 255
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 249882.28 255452.77 251636.50 275537.20 2672348.80 277120.30 2631504.30 276474.40 2611371.10 276186.90 263564.70 2641078.90 281219.30 261256.40 255
baseline1774.90 249882.28 255452.77 251636.50 275537.20 2672348.80 277120.30 2631504.30 276474.40 2611371.10 276186.90 263564.70 2641078.90 281219.30 261256.40 255
casdiffmvs_mvgpermissive774.90 249882.28 255452.77 251636.50 275537.20 2672348.80 277120.30 2631504.30 276474.40 2611371.10 276186.90 263564.70 2641078.90 281219.30 261256.40 255
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 249882.28 255452.77 251636.50 275537.20 2672348.80 277120.30 2631504.30 276474.40 2611371.10 276186.90 263564.70 2641078.90 281219.30 261256.40 255
ACMH993.80 5967.92 2641106.11 274553.33 265494.00 260534.00 2653581.00 292136.00 2731585.00 285478.00 2681871.00 29190.00 228839.00 2831460.00 292260.00 271287.00 266
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet1207.94 6829.56 259937.18 262506.69 263645.55 282585.72 2772477.98 285130.52 2721578.29 284509.50 2691460.01 283194.90 274637.19 2781170.78 289267.07 274297.17 267
Gipumacopyleft689.75 245767.00 245458.00 258613.00 273549.00 2761943.00 271187.00 2851230.00 269518.00 2701092.00 268203.00 278564.00 263892.00 267225.00 268261.00 262
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft863.65 3957.08 2631054.11 272666.00 277401.00 255495.00 2633790.00 294279.00 2901607.00 286521.00 2711745.00 28990.00 2281105.00 300639.00 254415.00 285398.00 282
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
K. test v3877.74 261980.16 264570.46 2681316.85 307813.15 2932565.52 288103.78 2571509.49 283548.33 2721258.90 272219.93 283587.82 2731102.37 288196.30 256310.42 270
GG-mvs-BLEND596.01 269611.29 270600.33 278790.30 229513.12 324552.71 273567.40 223662.54 328531.67 258503.93 234779.80 306656.02 290
gg-mvs-nofinetune594.69 236605.37 238562.67 266617.29 274500.33 264772.30 228413.12 309579.21 227552.71 273567.40 223662.54 328531.67 258503.93 234779.80 306656.02 290
CR-MVSNet612.36 238617.81 241596.01 269611.29 270600.33 278790.30 229513.12 324579.21 227552.71 273567.40 223662.54 328531.67 258503.93 234779.80 306656.02 290
MVSTER890.06 2621005.91 271542.52 264736.13 287653.90 2852616.56 289145.22 2781692.10 287555.69 2761554.72 287266.25 285660.02 2791219.66 290266.84 273313.64 271
ACMP1246.57 71086.24 2721235.17 276639.45 272596.53 264639.91 2833904.24 295152.04 2791851.54 290566.58 2771997.95 293138.50 249938.30 2871605.46 294303.70 280340.14 273
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PVSNet_01661.03 9968.54 2651066.82 273673.70 278706.94 285695.69 2862669.02 290153.52 2802108.17 296605.54 2781679.14 288213.26 282886.75 2861236.76 291229.01 269438.67 283
tmp_tt371.08 216412.78 217246.00 227231.00 224197.00 2271293.00 260376.00 301756.00 246609.00 27971.00 195106.00 238195.00 222102.00 201171.00 249346.00 275
RE-MVS-def610.10 239610.10 268610.10 281610.10 222610.10 333610.10 233610.10 280610.10 229610.10 316610.10 248610.10 289610.10 287
SR-MVS610.10 237610.10 239610.10 271610.10 268610.10 281610.10 222610.10 333610.10 233610.10 280610.10 229610.10 316610.10 274610.10 248610.10 289610.10 287
MSLP-MVS++1242.93 2771411.08 280738.48 282712.71 286712.68 2874168.17 297136.50 2742276.40 298613.28 2822368.60 298161.61 2561130.38 3011964.54 301297.88 277372.39 278
MVS_111021_LR1136.45 2751298.72 278649.64 273756.17 288726.26 2893785.94 293138.15 2752190.64 297629.63 2832064.39 294165.45 259874.83 2851678.43 297279.70 275347.82 276
ACMMPR1296.60 2791480.82 282743.96 283899.25 292763.47 2914305.47 298143.90 2772530.94 301683.99 2842346.34 297201.65 2771098.25 2991920.59 300295.21 276370.16 277
test_04021110.00 2741260.00 277660.00 274900.00 293780.00 2923300.00 291210.00 2872040.00 295690.00 2851950.00 292300.00 289810.00 2821620.00 295330.00 281390.00 281
DeepC-MVS_fast2190.19 121535.59 2821886.82 286481.89 260847.73 289830.16 2947943.84 319189.23 2862398.83 299691.73 2862341.13 296209.16 280230.25 2251999.25 302360.46 282385.25 280
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMM1311.08 81165.06 2761332.72 279662.07 276584.90 262715.99 2884373.59 299153.99 2811880.27 291709.02 2872316.97 295188.63 271939.89 2881484.30 293302.78 279330.34 272
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
TSAR-MVS + GP.1386.84 2801622.84 284678.81 279952.13 294840.17 2955358.21 303170.75 2832650.47 302713.54 2882394.28 299209.42 281855.56 2841854.36 299302.42 278340.71 274
MG-MVS1256.50 2781432.00 281730.00 281610.00 267760.00 2904720.00 300169.00 2821920.00 292723.00 2892510.00 301201.00 2761050.00 2981645.00 296390.00 284380.00 279
CSCG826.03 258963.29 263414.24 250421.52 256426.11 2592230.35 273179.52 2841827.44 289733.43 290933.12 257281.25 286545.23 2621800.35 298262.64 272271.38 263
FPMVS1407.00 2811495.59 2831141.23 294648.01 283893.85 2974124.00 296503.81 3233219.04 304742.72 2912498.84 300157.98 2551727.83 307832.93 265732.98 305802.00 299
Patchmtry1090.75 2731198.88 275766.38 2841290.90 305485.90 2622423.98 2841267.30 3561297.17 270923.90 292923.40 2561215.54 349990.23 289667.90 256779.80 306823.02 304
PatchT856.34 260860.99 253842.38 2851290.90 305880.90 296790.30 2291267.30 356579.21 227923.90 292567.40 223662.54 328990.23 289887.56 266779.80 306656.02 290
COLMAP_ROBcopyleft2144.59 111658.33 2831869.33 2851025.33 2931030.00 3021023.00 3075311.00 302359.00 2993044.00 303937.00 2942892.00 302332.00 2931440.00 3042312.00 304607.00 288613.00 289
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ambc999.00 286999.00 295999.00 300999.00 242999.00 349999.00 295999.00 258999.00 341999.00 291999.00 271999.00 325999.00 322
OurMVSNet-221017-0999.00 266999.00 265999.00 286999.00 295999.00 300999.00 242999.00 349999.00 259999.00 295999.00 258999.00 341999.00 291999.00 271999.00 325999.00 322
EPMVS999.00 266999.00 265999.00 286999.00 295999.00 300999.00 242999.00 349999.00 259999.00 295999.00 258999.00 341999.00 291999.00 271999.00 325999.00 322
uanet_test1000.00 2681000.00 2671000.00 2891000.00 2981000.00 3031000.00 2451000.00 3521000.00 2611000.00 2981000.00 2611000.00 3441000.00 2941000.00 2741000.00 3281000.00 325
sosnet1000.00 2681000.00 2671000.00 2891000.00 2981000.00 3031000.00 2451000.00 3521000.00 2611000.00 2981000.00 2611000.00 3441000.00 2941000.00 2741000.00 3281000.00 325
USDC1000.00 2681000.00 2671000.00 2891000.00 2981000.00 3031000.00 2451000.00 3521000.00 2611000.00 2981000.00 2611000.00 3441000.00 2941000.00 2741000.00 3281000.00 325
TinyColmap1000.00 2681000.00 2671000.00 2891000.00 2981000.00 3031000.00 2451000.00 3521000.00 2611000.00 2981000.00 2611000.00 3441000.00 2941000.00 2741000.00 3281000.00 325
JIA-IIPM804.30 257835.64 250710.26 280885.90 290895.90 298455.98 220668.73 3381297.17 2701002.26 3021001.67 265655.98 326756.98 281667.90 256885.21 318477.90 284
RPMNet787.26 256829.13 249661.63 275885.90 290895.90 298455.98 220610.10 3331297.17 2701002.26 3021001.67 265655.98 326611.10 275667.90 256885.21 318477.90 284
F-COLMAP1878.17 2842113.11 2871173.33 2971231.00 3031174.00 3086297.00 305392.00 3043356.00 3061087.00 3043082.00 303361.00 2971670.00 3062523.00 306689.00 295676.00 294
PCF-MVS4335.85 202272.23 2902597.03 2931297.84 2981701.20 3121332.37 3098105.11 320451.45 3124031.84 3111099.10 3053966.50 310467.45 3051734.05 3082701.68 309848.94 315827.11 305
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CMPMVSbinary2623.62 151983.08 2862156.14 2881463.89 3071414.80 3091517.00 3135239.20 301867.40 3433310.30 3051128.70 3063489.90 305366.75 2982030.20 3182427.60 3051160.60 337844.46 307
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVScopyleft2352.88 132263.08 2892530.89 2921459.67 3061767.00 3201591.00 3167932.00 318399.00 3053643.00 3071176.00 3073569.00 307297.00 2881927.00 3143302.00 312693.00 300861.00 308
MVS-HIRNet2125.39 2872452.68 2901143.53 2952938.33 3501446.92 3126083.19 304391.74 3033801.71 3091202.10 3083439.72 304492.73 3071304.35 3033048.25 311676.32 294679.32 295
ZD-MVS1584.00 3101821.00 333378.00 3023721.00 3081231.00 3091833.00 290321.00 2921224.00 3022103.00 303692.00 299
DeepPCF-MVS3452.42 182670.71 2983021.57 3001618.12 3092377.67 3361751.39 3298915.70 325567.44 3314569.74 3181236.84 3104615.63 316513.23 3082291.32 3203515.48 316882.39 317811.66 301
PLCcopyleft2858.82 162192.92 2882474.00 2911349.67 2991407.00 3081356.00 3107164.00 310475.00 3163970.00 3101237.00 3113765.00 309451.00 3041891.00 3123006.00 310791.00 311802.00 299
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
Vis-MVSNetpermissive2877.42 3013170.00 3041999.67 3221673.00 3112042.00 3398593.00 323474.00 3156452.00 3351268.00 3125125.00 323339.00 2943004.00 3364222.00 326384.00 283953.00 318
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
DeepC-MVS3917.13 193155.06 3043601.83 3071814.72 3172515.52 3391941.53 33410432.50 340589.42 3324789.45 3191298.65 3137677.31 341578.35 3152589.53 3263611.78 318923.52 320913.10 313
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
test_0728_THIRD5016.02 3221363.85 3144894.28 320387.23 2992023.43 3153973.88 320620.04 291732.56 296
test07261725.60 3131598.35 3179203.30 326315.86 2935016.02 3221363.85 3144894.28 320387.23 299
SD-MVS2654.53 2973055.56 3021451.45 3041725.60 3131598.35 3179203.30 326315.86 2935016.02 3221363.85 3144894.28 320387.23 2992023.43 3153973.88 320620.04 291732.56 296
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
3Dnovator2482.06 142531.17 2942839.56 2971606.00 3081732.00 3161557.00 3158375.00 322483.00 3174370.00 3161371.00 3174200.00 311350.00 2952207.00 3193877.00 319798.00 3121054.00 329
SteuartSystems-ACMMP2891.50 3023284.78 3051711.67 3121954.00 3231655.00 32310117.00 339445.00 3115102.00 3251375.00 3185126.00 324351.00 2962638.00 3324402.00 327691.00 298842.00 306
Skip Steuart: Steuart Systems R&D Blog.
AdaColmapbinary2570.77 2962948.61 2991437.24 3031873.64 3221526.60 3147819.77 317373.97 3004970.45 3201479.29 3194648.46 317525.80 3101904.97 3134150.42 324695.69 301880.14 312
LF4IMVS2699.50 2993049.67 3011649.00 3101755.00 3171689.00 3248330.00 321464.00 3144997.00 3211528.00 3204763.00 319568.00 3142296.00 3214215.00 325827.00 314962.00 319
tpmrst2557.50 2952847.12 2981688.66 3111784.08 3211778.25 3307445.50 316342.14 2964471.54 3171534.55 3214382.10 315530.10 3112361.21 3224142.81 323991.22 323926.51 314
CHOSEN 280x4202340.81 2912643.03 2941434.14 3002025.55 3291629.36 3206542.40 306412.49 3064219.70 3131547.02 3224328.52 312650.74 3231798.26 3093333.17 313727.72 302874.79 309
CHOSEN 1792x26882340.81 2912643.03 2941434.14 3002025.55 3291629.36 3206542.40 306412.49 3064219.70 3131547.02 3224328.52 312650.74 3231798.26 3093333.17 313727.72 302874.79 309
HyFIR lowres test2340.81 2912643.03 2941434.14 3002025.55 3291629.36 3206542.40 306412.49 3064219.70 3131547.02 3224328.52 312650.74 3231798.26 3093333.17 313727.72 302874.79 309
DPM-MVS3268.00 3053762.89 3081783.33 3151756.00 3181806.00 33112319.00 342307.00 2916319.00 3331557.00 3255763.00 326302.00 2902609.00 3285061.00 331482.00 286935.00 316
OPM-MVS3268.00 3053762.89 3081783.33 3151756.00 3181806.00 33112319.00 342307.00 2916319.00 3331557.00 3255763.00 326302.00 2902609.00 3285061.00 331482.00 286935.00 316
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
EGC-MVSNET2819.75 3003096.89 3031988.33 3213105.00 3512241.00 3419480.00 330640.00 3374209.00 3121583.00 3274740.00 318547.00 3132797.00 3342644.00 308924.00 321927.00 315
tpm23617.85 3094007.23 3112449.73 3292012.71 3251698.05 3257351.19 312869.29 3446132.06 3281588.28 3288007.42 3441281.09 3503888.11 3487472.04 3491351.00 3391763.02 345
tpm cat13617.85 3094007.23 3112449.73 3292012.71 3251698.05 3257351.19 312869.29 3446132.06 3281588.28 3288007.42 3441281.09 3503888.11 3487472.04 3491351.00 3391763.02 345
CostFormer3617.85 3094007.23 3112449.73 3292012.71 3251698.05 3257351.19 312869.29 3446132.06 3281588.28 3288007.42 3441281.09 3503888.11 3487472.04 3491351.00 3391763.02 345
tpm3617.85 3094007.23 3112449.73 3292012.71 3251698.05 3257351.19 312869.29 3446132.06 3281588.28 3288007.42 3441281.09 3503888.11 3487472.04 3491351.00 3391763.02 345
DVP-MVS++3981.10 3154731.32 3201730.42 3132191.51 3321949.98 33516473.90 351355.33 2977172.90 3441622.98 3327879.79 342434.33 3022428.11 3245762.12 334689.04 296813.18 302
DVP-MVScopyleft3981.10 3154731.32 3201730.42 3132191.51 3321949.98 33516473.90 351355.33 2977172.90 3441622.98 3327879.79 342434.33 3022428.11 3245762.12 334689.04 296813.18 302
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
OpenMVS_ROBcopyleft1936.51 101959.51 2852224.88 2891163.39 2961253.91 3041434.22 3117065.71 309272.76 2892472.29 3001647.54 3343538.72 306200.37 2751496.48 3052575.17 307997.45 324559.48 286
TAPA-MVS6309.84 213374.90 3073806.99 3102078.63 3242535.47 3402499.25 3498816.16 324456.05 3136255.60 3321664.52 3356704.88 331629.95 3212768.38 3336343.93 345856.35 316968.25 320
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 3084065.89 3151914.35 3182349.10 3352141.30 34012362.70 344417.60 3106717.80 3391759.40 3366497.50 329518.18 3092629.38 3315164.32 333806.40 313972.38 321
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
3Dnovator+3414.41 173146.67 3033537.00 3061975.67 3192310.00 3342005.00 33810100.00 338626.00 3365753.00 3261803.00 3375179.00 325487.00 3062622.00 3304550.00 3281025.00 3321300.00 336
ITE_SJBPF2014.00 3231998.00 3241992.00 337701.00 3395989.00 3271812.00 3383612.00 308650.00 3222852.00 3354601.00 3291195.00 3381198.00 335
MVS_111021_HR3742.80 3134330.34 3161980.20 3202484.31 3382259.52 34214973.80 349515.90 3306500.13 3361949.21 3396146.89 328535.66 3122593.66 3274880.76 330986.37 3221087.43 330
FOURS12643.17 3412465.14 34413996.40 346493.26 3187619.38 3472107.24 340
PC_three_14527619.38 3472107.24 3407416.93 338610.24 3183088.29 3416075.14 3411078.39 3331159.26 331
test_one_06012643.17 3412465.14 344493.26 3187619.38 3472107.24 3407416.93 338610.24 318
SED-MVS4062.74 3184671.13 3192237.56 3252643.17 3412465.14 34413996.40 346493.26 3187619.38 3472107.24 3407416.93 338610.24 3183088.29 3416075.14 3411078.39 3331159.26 331
IU-MVS2725.60 3462598.35 350515.86 3267016.02 3402363.85 3445973.88 3371620.04 3451732.56 341
test_241102_TWO515.86 3267016.02 3402363.85 3446894.28 332887.23 3363023.43 3375973.88 3371620.04 3451732.56 341
test_241102_ONE2725.60 3462598.35 350515.86 3267016.02 3402363.85 3446894.28 332887.23 3363023.43 337
MSP-MVS4296.20 3194911.12 3232451.45 3332725.60 3462598.35 35016203.30 350515.86 3267016.02 3402363.85 3446894.28 332887.23 3363023.43 3375973.88 3371620.04 3451732.56 341
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
GST-MVS4000.00 3174533.33 3182400.00 3282400.00 3372400.00 3437200.00 3112400.00 3607200.00 3462400.00 3487200.00 3362400.00 3542400.00 3237200.00 3472400.00 3512400.00 350
MAR-MVS3973.16 3144387.92 3172728.86 3353345.27 3523341.39 35611403.90 341798.76 3416555.62 3382569.29 3496514.86 330834.97 3353237.43 3455891.08 3361577.54 3441607.76 337
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
API-MVS4380.83 3204906.56 3222803.67 3363844.00 3533116.00 35513454.00 345901.00 3486511.00 3372794.00 3507365.00 337754.00 3323634.00 3466622.00 3461914.00 3501661.00 340
OMC-MVS5022.26 3215748.82 3242842.58 3374905.27 3553101.27 35414933.60 348812.24 3429278.40 3512959.29 3518800.17 3481092.24 3483806.30 3477568.54 3531389.60 3431620.18 339
LS3D7684.71 3238776.23 3264410.16 3395298.55 3565631.53 35834329.90 3601504.57 35811554.00 3603896.41 35215111.00 357812.19 3335985.63 3533516.20 3172963.23 3521613.31 338
CLD-MVS7338.25 3228341.00 3254330.00 3384902.00 3544991.00 35723318.00 358728.00 34014437.00 3614378.00 35313379.00 356824.00 3345708.00 35211429.00 3621674.00 3492291.00 349
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MVEpermissive10021.00 2210550.67 33110002.44 33412195.33 3486242.00 3578768.00 36030896.00 3594451.00 36110331.00 3596247.00 35418296.00 358283.00 28721484.00 3627364.00 3485912.00 3546334.00 352
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 33211772.44 3357637.33 3409120.00 3588206.00 35922252.00 3572010.00 35924984.00 3627458.00 35522596.00 3592940.00 35510260.00 36111100.00 3613492.00 3534446.00 351
ZNCC-MVS9999.00 3249999.00 3279999.00 3419999.00 3599999.00 3619999.00 3319999.00 3649999.00 3529999.00 3569999.00 3499999.00 3579999.00 3549999.00 3549999.00 3559999.00 353
patch_mono-210000.00 32510000.00 32810000.00 34210000.00 36010000.00 36210000.00 33210000.00 36510000.00 35310000.00 35710000.00 35010000.00 35810000.00 35510000.00 35510000.00 35610000.00 354
dcpmvs_210000.00 32510000.00 32810000.00 34210000.00 36010000.00 36210000.00 33210000.00 36510000.00 35310000.00 35710000.00 35010000.00 35810000.00 35510000.00 35510000.00 35610000.00 354
DCPMVS10000.00 32510000.00 32810000.00 34210000.00 36010000.00 36210000.00 33210000.00 36510000.00 35310000.00 35710000.00 35010000.00 35810000.00 35510000.00 35510000.00 35610000.00 354
UA-Net10000.00 32510000.00 32810000.00 34210000.00 36010000.00 36210000.00 33210000.00 36510000.00 35310000.00 35710000.00 35010000.00 35810000.00 35510000.00 35510000.00 35610000.00 354
uncertanet10000.00 32510000.00 32810000.00 34210000.00 36010000.00 36210000.00 33210000.00 36510000.00 35310000.00 35710000.00 35010000.00 35810000.00 35510000.00 35510000.00 35610000.00 354
uanet10000.00 32510000.00 32810000.00 34210000.00 36010000.00 36210000.00 33210000.00 36510000.00 35310000.00 35710000.00 35010000.00 35810000.00 35510000.00 35510000.00 35610000.00 354
LTVRE_ROB20565.47 2323378.08 33322805.00 33625097.33 34915500.00 36619201.00 36842712.00 3616055.00 36238388.00 36316926.00 36338534.00 3607071.00 35635653.00 36329475.00 36310584.00 36220438.00 361
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 33434443.44 33727094.33 35029249.00 36725246.00 36951144.00 3626705.00 36342886.00 36422888.00 36448534.00 36113263.00 36437507.00 36479298.00 36416024.00 36318530.00 360
114514_t99999.00 33599999.00 33899999.00 35199999.00 36899999.00 37099999.00 36399999.00 37199999.00 36599999.00 36599999.00 36299999.00 36599999.00 36599999.00 36599999.00 36499999.00 362
PHI-MVS99999.00 33599999.00 33899999.00 35199999.00 36899999.00 37099999.00 36399999.00 37199999.00 36599999.00 36599999.00 36299999.00 36599999.00 36599999.00 36599999.00 36499999.00 362
XVG-OURS-SEG-HR999999.00 339999999.00 340999999.00 353999999.00 370999999.00 372999999.00 365999999.00 373999999.00 367999999.00 367999999.00 364999999.00 367999999.00 367999999.00 367999999.00 366999999.00 364
XVG-OURS999999.00 339999999.00 340999999.00 353999999.00 370999999.00 372999999.00 365999999.00 373999999.00 367999999.00 367999999.00 364999999.00 367999999.00 367999999.00 367999999.00 366999999.00 364
XVG-ACMP-BASELINE999999.00 339999999.00 340999999.00 353999999.00 370999999.00 372999999.00 365999999.00 373999999.00 367999999.00 367999999.00 364999999.00 367999999.00 367999999.00 367999999.00 366999999.00 364
MED-MVS test10000000.00 35610000000.00 37310000000.00 37521344.80 35310000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 36910000000.00 367
MED-MVS9168445.40 3428891260.53 34510000000.00 35610000000.00 37310000000.00 37521344.80 35310000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
TestfortrainingZip a9168445.40 3428891260.53 34510000000.00 35610000000.00 37310000000.00 37521344.80 35310000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
mamba_040810000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
icg_test_0407_210000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
SSM_0407210000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
SSM_040710000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
IMVS_040710000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
IMVS_040410000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
SSM_040410000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
IMVS_040310000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
SD_040310000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
ME-MVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
NormalMVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
lecture10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
SymmetryMVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
Elysia10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
StellarMVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
KinetiMVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
LuminaMVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
VortexMVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
AstraMVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
guyue10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
sc_t110000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
tt0320-xc10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
tt032010000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
MVSMamba_PlusPlus10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
MGCFI-Net10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
sasdasda10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
dmvs_re10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
SDMVSNet10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
dmvs_testset10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
sd_testset10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
balanced_conf0310000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
MonoMVSNet10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
test250610000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
test111110000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
ECVR-MVScopyleft10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
test_blank10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
tt080510000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
Anonymous2024052110000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
cl2210000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
miper_ehance_all_eth10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
miper_enhance_ethall10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
cl____10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
DIV-MVS_self_test10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
eth_miper_zixun_eth10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
ET-MVSNet_ETH3D10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
UniMVSNet_ETH3D10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
miper_lstm_enhance10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
D2MVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
test_yl10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
thisisatest053010000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
Anonymous2024052910000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
Anonymous20240521110000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
DCV-MVSNet10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
tttt051710000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
our_test_310000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
thisisatest051510000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
ppachtmachnet_test10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
SMA-MVScopyleft10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
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 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part210000000.00 37310000000.00 37510000000.00 370
thres100view90010000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
tfpnnormal10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
tfpn200view910000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
c3_l10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
IterMVS-SCA-FT10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
pmmvs610000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
pmmvs510000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
Anonymous2023121110000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
pmmvs-eth3d10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
Anonymous2023120610000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
SCA10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
Patchmatch-test10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
Patchmatch-RL test10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
canonicalmvs10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
anonymousdsp10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
FIs10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
FC-MVSNet-test10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
sosnet-low-res10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
AllTest10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
TestCases10000000.00 35610000000.00 37310000000.00 37510000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
RRT-MVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
balanced_ft_v110000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
HPM-MVS++copyleft10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
XVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
pm-mvs110000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
X-MVStestdata10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
APDe-MVScopyleft10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
pmmvs410000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
test-LLR10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
TESTMET0.1,110000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
test-mter10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
testgi10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
test20.0310000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
thres600view710000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
MP-MVScopyleft10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
thres40010000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
test12310000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
thres20010000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
test0.0.03 110000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
pmmvs310000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
EMVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
E-PMN10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
PGM-MVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
MCST-MVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
MVS_Test10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
PMMVS210000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
PM-MVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
HQP_MVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
plane_prior310000000.00 37510000000.00 37010000000.00 370
mPP-MVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
mvsmamba10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
HPM-MVS_fast10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
HPM-MVScopyleft10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
LGP-MVS_train10000000.00 35610000000.00 37310000000.00 37510000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
EPNet_dtu10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP-NCC10000000.00 37310000000.00 36810000000.00 37010000000.00 370
ACMP_Plane10000000.00 37310000000.00 36810000000.00 37010000000.00 370
HQP4-MVS10000000.00 37010000000.00 37010000000.00 367
CNVR-MVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
NCCC10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
CP-MVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
CPTT-MVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
HQP-MVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
IS-MVSNet10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
PAPM_NR10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
PAPR10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
Vis-MVSNet (Re-imp)10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
PatchMatch-RL10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
TDRefinement10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
EPP-MVSNet10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
PMMVS10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
PAPM10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
ACMMPcopyleft10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
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 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
wuyk23d10000000.00 34410000000.00 34710000000.00 35610000000.00 37310000000.00 37510000000.00 36810000000.00 37610000000.00 37010000000.00 37010000000.00 36710000000.00 37010000000.00 37010000000.00 37010000000.00 36910000000.00 367
APD-MVScopyleft1000000000.00 4761000000000.00 4791000000000.00 4931000000000.00 5181000000000.00 5181000000000.00 5051000000000.00 5181000000000.00 5111000000000.00 5121000000000.00 5091000000000.00 5131000000000.00 5121000000000.00 5111000000000.00 5101000000000.00 508
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
TestfortrainingZip21344.80 353
WAC-MVS248.46 234422.23 227
MSC_two_6792asdad2237.56 3252643.17 3412465.14 344493.26 3183088.29 3416075.14 3411078.39 3331159.26 331
No_MVS2237.56 3252643.17 3412465.14 344493.26 3183088.29 3416075.14 3411078.39 3331159.26 331
eth-test21.42 127
eth-test10000000.00 373
OPU-MVS2451.45 3332725.60 3462598.35 3509203.30 3266894.28 332887.23 3363023.43 3375973.88 3371620.04 3451732.56 341
save fliter0.00 10.00 10.00 10.00 10.00 1
test_0728_SECOND1451.45 3041725.60 3131598.35 3179203.30 326315.86 2932023.43 3153973.88 320620.04 291732.56 296
GSMVS10000000.00 367
sam_mvs110000000.00 37010000000.00 367
sam_mvs10000000.00 370
MTGPAbinary10000000.00 376
test_post110000000.00 36810000000.00 36710000000.00 37010000000.00 37010000000.00 370
test_post10000000.00 36710000000.00 37010000000.00 370
patchmatchnet-post10000000.00 36710000000.00 37010000000.00 370
MTMP10000000.00 36810000000.00 376
gm-plane-assit611.29 270600.33 278579.21 227567.40 223531.67 258503.93 234
test9_res0.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
test_prior40.00 10.00 1
test_prior0.00 10.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
旧先验10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
无先验0.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM20.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
testdata10.00 10.00 1
plane_prior710000000.00 37310000000.00 375
plane_prior610000000.00 37310000000.00 37510000000.00 370
plane_prior510000000.00 37610000000.00 37010000000.00 37010000000.00 36910000000.00 367
plane_prior410000000.00 367
plane_prior210000000.00 36810000000.00 370
plane_prior110000000.00 373
plane_prior1.00 1212.00 1592.00 1602.00 158
n214.20 201
nn1.42 129
door-mid1.42 129
test111.00 122
door99.00 254
HQP5-MVS10000000.00 375
BP-MVS10000000.00 370
HQP3-MVS10000000.00 37610000000.00 369
HQP2-MVS10000000.00 370
NP-MVS10000000.00 37310000000.00 37510000000.00 367
ACMMP++_ref10000000.00 369
ACMMP++10000000.00 369
Test By Simon990.00 340