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
casdiffseed4146921470.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
gbinet_0.2-2-1-0.020.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
0.3-1-1-0.0150.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
0.4-1-1-0.10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
0.4-1-1-0.20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
wanda-best-256-5120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_dtu_shiyan20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_dtu_shiyan10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blended_shiyan80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E5new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-blended-shiyan70.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E6new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blended_shiyan60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_blend_shiyan50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blend_shiyan40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E3new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_100.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt070.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt090.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt130.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewcassd2359sk110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmacassd2359aftdt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmsd2359difaftdt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
diffmvs_AUTHOR0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmambaseed2359dif0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmanbaseed2359cas0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_70.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n_20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf0.1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf0.01_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmvis_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsm_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_cas_vis1_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
mvsany_test10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
APD_test10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_rt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis3_rt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
mvsany_test30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testf10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
APD_test20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_f0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
SF-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
9.140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MGCNet0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
train_agg0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
agg_prior0.00 10.00 10.00 10.00 10.00 1
HFP-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
region2R0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_prior20.00 10.00 10.00 10.00 10.00 10.00 10.00 1
旧先验20.00 10.00 10.00 10.00 10.00 1
新几何10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test2220.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
13140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
QAPM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
h-mvs330.30 830.30 840.30 880.30 950.30 950.30 950.30 960.30 950.30 940.30 920.30 940.30 950.30 930.30 930.30 93
hse-mvs20.30 830.30 840.30 880.30 950.30 950.30 950.30 960.30 950.30 940.30 920.30 940.30 950.30 930.30 930.30 93
CL-MVSNet_self_test0.30 830.30 840.30 880.30 950.30 950.30 950.30 960.30 950.30 940.30 920.30 940.30 950.30 930.30 930.30 93
AUN-MVS0.30 830.30 840.30 880.30 950.30 950.30 950.30 960.30 950.30 940.30 920.30 940.30 950.30 930.30 930.30 93
LCM-MVSNet0.37 870.36 880.37 920.37 990.37 990.37 990.32 1000.37 990.37 980.37 960.37 980.37 990.37 970.37 970.37 97
v1441920.40 880.40 890.40 930.40 1000.40 1000.40 1000.40 1020.40 1000.40 990.40 970.40 990.40 1000.40 980.40 980.40 98
v19219200.40 880.40 890.40 930.40 1000.40 1000.40 1000.40 1020.40 1000.40 990.40 970.40 990.40 1000.40 980.40 980.40 98
v11920.40 880.40 890.40 930.40 1000.40 1000.40 1000.40 1020.40 1000.40 990.40 970.40 990.40 1000.40 980.40 980.40 98
v11440.40 880.40 890.40 930.40 1000.40 1000.40 1000.40 1020.40 1000.40 990.40 970.40 990.40 1000.40 980.40 980.40 98
v1480.40 880.40 890.40 930.40 1000.40 1000.40 1000.40 1020.40 1000.40 990.40 970.40 990.40 1000.40 980.40 980.40 98
v7n0.40 880.40 890.40 930.40 1000.40 1000.40 1000.40 1020.40 1000.40 990.40 970.40 990.40 1000.40 980.40 980.40 98
v12400.40 880.40 890.40 930.40 1000.40 1000.40 1000.40 1020.40 1000.40 990.40 970.40 990.40 1000.40 980.40 980.40 98
v80.40 880.40 890.40 930.40 1000.40 1000.40 1000.40 1020.40 1000.40 990.40 970.40 990.40 1000.40 980.40 980.40 98
v100.40 880.40 890.40 930.40 1000.40 1000.40 1000.40 1020.40 1000.40 990.40 970.40 990.40 1000.40 980.40 980.40 98
v2v4820.40 880.40 890.40 930.40 1000.40 1000.40 1000.40 1020.40 1000.40 990.40 970.40 990.40 1000.40 980.40 980.40 98
V420.40 880.40 890.40 930.40 1000.40 1000.40 1000.40 1020.40 1000.40 990.40 970.40 990.40 1000.40 980.40 980.40 98
GA-MVS0.40 880.40 890.40 930.40 1000.40 1000.40 1000.40 1020.40 1000.40 990.40 970.40 990.40 1000.40 980.40 980.40 98
Fast-Effi-MVS+0.41 1000.40 890.41 1050.41 1120.41 1120.41 1120.35 1010.41 1120.41 1110.41 1090.41 1110.41 1120.41 1100.41 1100.41 110
Fast-Effi-MVS+-dtu0.44 1010.44 1020.44 1060.44 1130.44 1130.44 1130.44 1140.44 1130.44 1120.44 1100.44 1120.44 1130.44 1110.44 1110.44 111
Effi-MVS+-dtu0.59 1030.61 1050.53 1070.68 1210.53 1140.53 1140.68 1220.68 1210.53 1130.53 1110.68 1200.53 1140.68 1190.53 1120.53 112
KD-MVS_self_test0.60 1040.60 1040.60 1080.60 1150.60 1150.60 1160.60 1160.60 1150.60 1140.60 1120.60 1140.60 1150.60 1120.60 1140.60 113
EIA-MVS0.62 1050.62 1060.62 1090.62 1160.62 1160.62 1170.62 1170.62 1160.62 1150.62 1130.62 1150.62 1160.62 1130.62 1150.62 114
ETV-MVS0.62 1050.62 1060.62 1090.62 1160.62 1160.62 1170.62 1170.62 1160.62 1150.62 1130.62 1150.62 1160.62 1130.62 1150.62 114
CS-MVS0.62 1050.62 1060.62 1090.62 1160.62 1160.62 1170.62 1170.62 1160.62 1150.62 1130.62 1150.62 1160.62 1130.62 1150.62 114
SPE-MVS-test0.62 1050.62 1060.62 1090.62 1160.62 1160.62 1170.62 1170.62 1160.62 1150.62 1130.62 1150.62 1160.62 1130.62 1150.62 114
Effi-MVS+0.58 1020.56 1030.62 1090.53 1140.62 1160.53 1140.53 1150.53 1140.62 1150.62 1130.53 1130.62 1160.62 1130.53 1120.62 114
EC-MVSNet0.62 1050.62 1060.62 1090.62 1160.62 1160.62 1170.62 1170.62 1160.62 1150.62 1130.62 1150.62 1160.62 1130.62 1150.62 114
CDS-MVSNet0.88 1100.88 1110.88 1150.88 1220.88 1220.88 1220.88 1230.88 1220.88 1210.88 1190.88 1210.88 1220.88 1200.88 1200.88 120
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 1100.88 1110.88 1150.88 1220.88 1220.88 1220.88 1230.88 1220.88 1210.88 1190.88 1210.88 1220.88 1200.88 1200.88 120
LCM-MVSNet-Re0.89 1120.89 1130.89 1170.89 1240.89 1240.89 1240.89 1250.89 1240.89 1230.89 1210.89 1230.89 1240.89 1220.89 1220.89 122
DeepMVS_CXcopyleft1.00 1181.00 1251.00 1251.00 1261.00 1251.00 1241.00 1221.00 1241.00 1251.00 1231.00 1231.00 123
MDA-MVSNet-bldmvs1.20 1131.20 1141.20 1191.20 1261.20 1271.20 1251.20 1281.20 1261.20 1251.20 1231.20 1251.20 1261.20 1241.20 1241.20 124
YYNet11.20 1131.20 1141.20 1191.20 1261.20 1271.20 1251.20 1281.20 1261.20 1251.20 1231.20 1251.20 1261.20 1241.20 1241.20 124
MDA-MVSNet_test_wron1.20 1131.20 1141.20 1191.20 1261.20 1271.20 1251.20 1281.20 1261.20 1251.20 1231.20 1251.20 1261.20 1241.20 1241.20 124
KD-MVS_2432*16001.30 1161.30 1171.30 1221.30 1291.30 1301.30 1281.30 1311.30 1291.30 1281.30 1261.30 1281.30 1291.30 1271.30 1271.30 127
miper_refine_blended1.30 1161.30 1171.30 1221.30 1291.30 1301.30 1281.30 1311.30 1291.30 1281.30 1261.30 1281.30 1291.30 1271.30 1271.30 127
EI-MVSNet-UG-set1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
EI-MVSNet-Vis-set1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
EI-MVSNet1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
Regformer1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
CVMVSNet1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
EU-MVSNet1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
PS-CasMVS1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
UniMVSNet_NR-MVSNet1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
PEN-MVS1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
TransMVSNet (Re)1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
DTE-MVSNet1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
DU-MVS1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
UniMVSNet (Re)1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
CP-MVSNet1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
WR-MVS_H1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
WR-MVS1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
NR-MVSNet1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
Baseline_NR-MVSNet1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
TranMVSNet+NR-MVSNet1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
MVSFormer1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
jason1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
jason: jason.
lupinMVS1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
test_djsdf1.42 1181.42 1191.42 1241.42 1311.42 1321.42 1301.42 1331.42 1311.42 1301.42 1281.42 1301.42 1311.42 1291.42 1291.42 129
reproduce_monomvs1.48 1411.48 1421.48 1471.48 1551.48 1551.48 1531.48 1581.48 1541.48 1531.48 1511.48 1531.48 1541.48 1521.48 1521.48 152
mmtdpeth1.48 1411.48 1421.48 1471.48 1551.48 1551.48 1531.48 1581.48 1541.48 1531.48 1511.48 1531.48 1541.48 1521.48 1521.48 152
reproduce_model1.48 1411.48 1421.48 1471.48 1551.48 1551.48 1531.48 1581.48 1541.48 1531.48 1511.48 1531.48 1541.48 1521.48 1521.48 152
reproduce-ours1.48 1411.48 1421.48 1471.48 1551.48 1551.48 1531.48 1581.48 1541.48 1531.48 1511.48 1531.48 1541.48 1521.48 1521.48 152
our_new_method1.48 1411.48 1421.48 1471.48 1551.48 1551.48 1531.48 1581.48 1541.48 1531.48 1511.48 1531.48 1541.48 1521.48 1521.48 152
mmdepth1.48 1411.48 1421.48 1471.48 1551.48 1551.48 1531.48 1581.48 1541.48 1531.48 1511.48 1531.48 1541.48 1521.48 1521.48 152
monomultidepth1.48 1411.48 1421.48 1471.48 1551.48 1551.48 1531.48 1581.48 1541.48 1531.48 1511.48 1531.48 1541.48 1521.48 1521.48 152
mvs5depth1.48 1411.48 1421.48 1471.48 1551.48 1551.48 1531.48 1581.48 1541.48 1531.48 1511.48 1531.48 1541.48 1521.48 1521.48 152
MVStest11.48 1411.48 1421.48 1471.48 1551.48 1551.48 1531.48 1581.48 1541.48 1531.48 1511.48 1531.48 1541.48 1521.48 1521.48 152
ttmdpeth1.48 1411.48 1421.48 1471.48 1551.48 1551.48 1531.48 1581.48 1541.48 1531.48 1511.48 1531.48 1541.48 1521.48 1521.48 152
alignmvs2.00 1512.00 1522.00 1572.00 1652.00 1652.00 1632.00 1682.00 1642.00 1632.00 1612.00 1632.00 1642.00 1622.00 1622.00 162
nrg0302.00 1512.00 1522.00 1572.00 1652.00 1652.00 1632.00 1682.00 1642.00 1632.00 1612.00 1632.00 1642.00 1622.00 1622.00 162
LFMVS2.00 1512.00 1522.00 1572.00 1652.00 1652.00 1632.00 1682.00 1642.00 1632.00 1612.00 1632.00 1642.00 1622.00 1622.00 162
VDD-MVS2.00 1512.00 1522.00 1572.00 1652.00 1652.00 1632.00 1682.00 1642.00 1632.00 1612.00 1632.00 1642.00 1622.00 1622.00 162
VDDNet2.00 1512.00 1522.00 1572.00 1652.00 1652.00 1632.00 1682.00 1642.00 1632.00 1612.00 1632.00 1642.00 1622.00 1622.00 162
VPNet2.00 1512.00 1522.00 1572.00 1652.00 1652.00 1632.00 1682.00 1642.00 1632.00 1612.00 1632.00 1642.00 1622.00 1622.00 162
VNet2.00 1512.00 1522.00 1572.00 1652.00 1652.00 1632.00 1682.00 1642.00 1632.00 1612.00 1632.00 1642.00 1622.00 1622.00 162
VPA-MVSNet2.00 1512.00 1522.00 1572.00 1652.00 1652.00 1632.00 1682.00 1642.00 1632.00 1612.00 1632.00 1642.00 1622.00 1622.00 162
cascas2.00 1512.00 1522.00 1572.00 1652.00 1652.00 1632.00 1682.00 1642.00 1632.00 1612.00 1632.00 1642.00 1622.00 1622.00 162
UnsupCasMVSNet_eth5.90 1605.90 1615.90 1665.90 1745.90 1745.90 1735.90 1805.90 1745.90 1725.90 1705.90 1745.90 1735.90 1715.90 1745.90 174
UnsupCasMVSNet_bld5.90 1605.90 1615.90 1665.90 1745.90 1745.90 1735.90 1805.90 1745.90 1725.90 1705.90 1745.90 1735.90 1715.90 1745.90 174
WTY-MVS5.90 1605.90 1615.90 1665.90 1745.90 1745.90 1735.90 1805.90 1745.90 1725.90 1705.90 1745.90 1735.90 1715.90 1745.90 174
HY-MVS5.90 15.90 1605.90 1615.90 1665.90 1745.90 1745.90 1735.90 1805.90 1745.90 1725.90 1705.90 1745.90 1735.90 1715.90 1745.90 174
sss5.90 1605.90 1615.90 1665.90 1745.90 1745.90 1735.90 1805.90 1745.90 1725.90 1705.90 1745.90 1735.90 1715.90 1745.90 174
Test_1112_low_res5.90 1605.90 1615.90 1665.90 1745.90 1745.90 1735.90 1805.90 1745.90 1725.90 1705.90 1745.90 1735.90 1715.90 1745.90 174
1112_ss5.90 1605.90 1615.90 1665.90 1745.90 1745.90 1735.90 1805.90 1745.90 1725.90 1705.90 1745.90 1735.90 1715.90 1745.90 174
ab-mvs-re5.90 1605.90 1615.90 1665.90 1745.90 1745.90 1735.90 1805.90 1745.90 1725.90 1705.90 1745.90 1735.90 1715.90 1745.90 174
ab-mvs5.90 1605.90 1615.90 1665.90 1745.90 1745.90 1735.90 1805.90 1745.90 1725.90 1705.90 1745.90 1735.90 1715.90 1745.90 174
CDPH-MVS6.66 1696.66 1706.66 1756.66 1836.66 1836.66 1826.66 1896.66 1836.66 1816.66 1796.66 1836.66 1826.66 1806.66 1836.66 183
dp87.20 189113.80 1937.42 17610.50 1958.88 184298.82 2102.70 177510.35 2297.79 182172.93 2033.37 1729.16 18314.00 1943.71 1724.23 172
MDTV_nov1_ep13_2view9.99 1859.99 1839.99 1849.99 1839.99 1859.99 1819.99 184
MDTV_nov1_ep139.99 1719.99 1849.99 1859.99 1839.99 1919.99 1849.99 1839.99 1809.99 1859.99 1849.99 1819.99 185
xiu_mvs_v1_base_debu10.28 17010.28 17210.28 17710.28 18510.28 18710.28 18510.28 19210.28 18610.28 18510.28 18110.28 18710.28 18510.28 18310.28 18610.28 185
xiu_mvs_v2_base10.28 17010.28 17210.28 17710.28 18510.28 18710.28 18510.28 19210.28 18610.28 18510.28 18110.28 18710.28 18510.28 18310.28 18610.28 185
xiu_mvs_v1_base10.28 17010.28 17210.28 17710.28 18510.28 18710.28 18510.28 19210.28 18610.28 18510.28 18110.28 18710.28 18510.28 18310.28 18610.28 185
xiu_mvs_v1_base_debi10.28 17010.28 17210.28 17710.28 18510.28 18710.28 18510.28 19210.28 18610.28 18510.28 18110.28 18710.28 18510.28 18310.28 18610.28 185
cdsmvs_eth3d_5k10.28 17010.28 17210.28 17710.28 18510.28 18710.28 18510.28 19210.28 18610.28 18510.28 18110.28 18710.28 18510.28 18310.28 18610.28 185
pcd_1.5k_mvsjas10.28 17010.28 17210.28 17710.28 18510.28 18710.28 18510.28 19210.28 18610.28 18510.28 18110.28 18710.28 18510.28 18310.28 18610.28 185
PS-MVSNAJss10.28 17010.28 17210.28 17710.28 18510.28 18710.28 18510.28 19210.28 18610.28 18510.28 18110.28 18710.28 18510.28 18310.28 18610.28 185
PS-MVSNAJ10.28 17010.28 17210.28 17710.28 18510.28 18710.28 18510.28 19210.28 18610.28 18510.28 18110.28 18710.28 18510.28 18310.28 18610.28 185
jajsoiax10.28 17010.28 17210.28 17710.28 18510.28 18710.28 18510.28 19210.28 18610.28 18510.28 18110.28 18710.28 18510.28 18310.28 18610.28 185
mvs_tets10.28 17010.28 17210.28 17710.28 18510.28 18710.28 18510.28 19210.28 18610.28 18510.28 18110.28 18710.28 18510.28 18310.28 18610.28 185
test_method18.29 18220.89 18410.50 18715.00 19713.00 19955.00 2023.00 17834.00 19911.50 19532.50 1935.00 17313.50 19627.00 1975.00 1735.00 173
SR-MVS-dyc-post11.55 18011.55 18211.55 18911.55 19611.55 19811.55 19511.55 20411.55 19611.55 19611.55 19111.55 19811.55 19511.55 19311.55 19611.55 195
GeoE19.41 18322.09 18511.37 18817.21 19911.30 19750.50 2014.30 17933.60 19811.70 19744.50 1987.30 18418.90 19822.60 1967.10 1843.90 171
XXY-MVS15.00 18115.00 18315.00 19015.00 19715.00 20015.00 19615.00 20615.00 19715.00 19815.00 19215.00 20215.00 19715.00 19515.00 19815.00 197
GBi-Net44.67 18849.24 19030.96 19147.53 20447.57 205126.09 2038.00 19076.99 20426.09 19973.50 20011.27 19730.55 19961.12 20212.58 19714.75 196
BH-w/o40.00 18440.00 18640.00 19240.00 20040.00 20140.00 19740.00 22540.00 20040.00 20040.00 19440.00 21940.00 20040.00 19840.00 21240.00 208
BH-untuned40.00 18440.00 18640.00 19240.00 20040.00 20140.00 19740.00 22540.00 20040.00 20040.00 19440.00 21940.00 20040.00 19840.00 21240.00 208
BH-RMVSNet40.00 18440.00 18640.00 19240.00 20040.00 20140.00 19740.00 22540.00 20040.00 20040.00 19440.00 21940.00 20040.00 19840.00 21240.00 208
TR-MVS40.00 18440.00 18640.00 19240.00 20040.00 20140.00 19740.00 22540.00 20040.00 20040.00 19440.00 21940.00 20040.00 19840.00 21240.00 208
new_pmnet88.14 19098.62 19156.70 19698.14 21156.07 206246.79 20515.37 207148.06 20550.77 204143.13 20123.35 20362.65 20493.26 20368.71 22251.38 218
N_pmnet88.14 19098.62 19156.70 19698.14 21156.07 206246.79 20515.37 207148.06 20550.77 204143.13 20123.35 20362.65 20493.26 20368.71 22251.38 218
MTAPA833442.10 3421111233.77 34867.09 19865.59 20564.81 208284.50 20710000000.00 381219.97 21059.62 206229.89 21412.72 199103.00 219203.67 22027.93 19933.46 198
MP-MVS-pluss833433.63 3411111219.60 34775.70 20274.28 20673.29 209284.50 20711.35 202238.58 21165.86 207255.35 21914.55 200115.69 22110000000.00 37431.94 20038.12 206
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 195133.18 19775.70 20274.28 20673.29 209284.50 20711.35 202238.58 21165.86 207255.35 21914.55 200115.69 221222.18 22131.94 20038.12 206
CANet110.62 192124.04 19470.34 19982.03 20874.27 211325.54 21125.25 210207.16 20769.28 209194.38 20427.53 20595.79 213147.76 20737.43 20240.97 212
CANet_DTU110.62 192124.04 19470.34 19982.03 20874.27 211325.54 21125.25 210207.16 20769.28 209194.38 20427.53 20595.79 213147.76 20737.43 20240.97 212
UGNet110.62 192124.04 19470.34 19982.03 20874.27 211325.54 21125.25 210207.16 20769.28 209194.38 20427.53 20595.79 213147.76 20737.43 20240.97 212
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 196140.93 19876.26 204107.44 214100.17 218329.88 21427.12 216259.44 21674.30 212204.34 20730.74 20892.41 206196.98 21038.15 20536.19 199
test1124.76 196140.93 19876.26 204107.44 214100.17 218329.88 21427.12 216259.44 21674.30 212204.34 20730.74 20892.41 206196.98 21038.15 20536.19 199
FMVSNet3124.76 196140.93 19876.26 204107.44 214100.17 218329.88 21427.12 216259.44 21674.30 212204.34 20730.74 20892.41 206196.98 21038.15 20536.19 199
FMVSNet2124.76 196140.93 19876.26 204107.44 214100.17 218329.88 21427.12 216259.44 21674.30 212204.34 20730.74 20892.41 206196.98 21038.15 20536.19 199
FMVSNet1124.76 196140.93 19876.26 204107.44 214100.17 218329.88 21427.12 216259.44 21674.30 212204.34 20730.74 20892.41 206196.98 21038.15 20536.19 199
MIMVSNet1124.76 196140.93 19876.26 204107.44 214100.17 218329.88 21427.12 216259.44 21674.30 212204.34 20730.74 20892.41 206196.98 21038.15 20536.19 199
MIMVSNet124.76 196140.93 19876.26 204107.44 214100.17 218329.88 21427.12 216259.44 21674.30 212204.34 20730.74 20892.41 206196.98 21038.15 20536.19 199
PVSNet_Blended_VisFu136.90 204155.40 20681.40 211111.00 22196.20 215407.00 22125.90 213251.60 21385.10 219240.50 21537.00 21599.90 216199.80 21740.70 21648.10 215
PVSNet_BlendedMVS136.90 204155.40 20681.40 211111.00 22196.20 215407.00 22125.90 213251.60 21385.10 219240.50 21537.00 21599.90 216199.80 21740.70 21648.10 215
PVSNet_Blended136.90 204155.40 20681.40 211111.00 22196.20 215407.00 22125.90 213251.60 21385.10 219240.50 21537.00 21599.90 216199.80 21740.70 21648.10 215
DSMNet-mixed131.33 203143.00 20596.33 21499.00 21381.00 214201.00 20445.00 230335.00 22399.00 222251.00 21838.00 218110.00 220120.00 20699.00 22898.00 224
BP-MVS1202.65 207232.15 209114.16 215183.40 225141.78 225655.87 22924.69 209372.56 224109.76 223356.89 22147.15 223139.51 223284.15 22354.86 21961.20 220
FE-MVS207.10 208234.26 210125.61 216180.34 224153.23 226635.64 22830.05 223378.38 225127.68 224377.08 22248.95 224154.43 224266.67 22263.56 22069.18 221
GDP-MVS219.79 209249.11 211131.85 217187.15 226155.97 227667.31 23030.57 224398.95 226131.26 225387.86 22358.83 226164.55 225315.00 22465.03 22175.04 222
FA-MVS(test-final)261.15 210293.29 212164.72 218236.23 229199.99 232800.05 23642.35 229475.87 228155.47 226470.67 22558.49 225205.24 227319.44 22581.03 22588.93 223
kuosan267.89 212301.05 214168.41 219244.05 230177.28 228667.98 23165.76 232533.41 230157.79 227492.01 226104.69 241226.72 228364.47 22879.31 224101.21 226
DP-MVS264.78 211296.02 213171.04 220191.70 227183.96 229827.10 23778.36 241438.24 227176.64 228435.12 22465.04 228230.52 230334.02 226117.96 23698.64 225
SSC-MVS320.23 214364.09 216188.66 221260.78 232193.84 230975.93 24573.11 237596.72 235185.29 229589.02 23274.47 230246.01 231427.42 23294.06 227126.12 229
WB-MVS316.44 213357.41 215193.51 222257.06 231213.32 235914.45 23949.03 231600.77 236186.42 230634.00 23875.03 231251.35 232411.39 22988.55 226115.87 228
UWE-MVS-28327.73 215369.67 217201.90 223281.09 238210.75 233832.98 23874.67 240680.98 243198.23 231613.42 235112.56 244259.80 233418.76 230114.35 230135.15 235
dongtai360.45 218401.64 220236.89 228303.10 239262.16 243963.12 24272.78 235622.82 239199.37 232708.06 241130.96 249310.90 238506.46 242108.11 229137.60 236
testing3418.10 226469.06 228265.23 236335.69 243290.63 2461240.88 26293.72 251717.99 245215.31 233811.97 254232.41 288358.74 244458.67 233114.88 231146.32 238
testing11348.86 217393.09 219216.15 224275.24 235239.53 236915.55 24072.35 234679.89 242215.75 234633.79 237118.08 246276.62 234509.56 243117.61 235132.30 231
testing91347.05 216389.92 218218.43 225275.92 236241.43 237923.71 24171.70 233667.65 241217.04 235629.00 236113.33 245281.39 235495.50 235115.45 232132.47 232
WB-MVSnew404.84 224458.00 226245.36 230374.70 249320.27 2511193.74 26072.90 236773.77 251238.30 236688.22 24090.05 234308.59 237532.76 246157.54 247107.21 227
EG-PatchMatch MVS437.03 229493.12 233268.77 237264.80 234260.20 2421491.80 26898.00 255723.20 247238.80 237722.40 24263.10 227382.00 250629.00 255207.00 262164.10 245
RPSCF394.81 223445.63 225242.35 229276.55 237253.63 2391207.27 26190.69 250715.56 244241.57 238684.87 239111.96 243320.02 240548.38 247133.81 238153.39 241
UWE-MVS387.98 221438.66 224235.93 226349.32 245257.61 2411081.50 25382.45 245637.74 240257.12 239738.54 243134.25 250308.00 236531.93 245135.11 239142.17 237
testing99408.82 225462.15 227248.86 232322.45 242269.42 2441118.93 25673.26 238719.36 246262.28 240772.10 245150.98 256327.08 241601.98 251137.99 240150.07 239
myMVS_eth3d28418.40 227473.07 229254.39 234261.18 233313.04 2471172.79 25974.16 239929.18 259264.68 241745.72 244139.03 254318.91 239549.18 248121.71 237131.21 230
Syy-MVS370.76 219415.60 222236.25 227310.54 240210.76 234965.13 24398.58 256746.06 248266.26 242788.85 24891.37 235364.76 246357.17 227116.42 233133.22 233
myMVS_eth3d390.90 222437.44 223251.28 233310.54 240255.86 240965.13 24398.58 256746.06 248266.26 242788.85 248154.95 257364.76 246490.19 234116.42 233133.22 233
ETVMVS443.50 232498.07 234279.78 238378.05 252321.57 2521163.68 25887.12 246897.50 258269.81 244822.83 255141.20 255334.53 243568.21 250154.21 242183.26 249
testing222430.52 228487.50 232259.56 235379.87 253282.69 2451138.34 25781.30 243880.86 255281.58 245834.27 256135.83 252333.22 242514.90 244140.56 241162.76 242
ADS-MVSNet2443.33 230482.84 230324.79 249434.94 262387.73 2601110.57 25487.69 247887.02 256282.92 246779.29 24698.57 239422.76 258502.40 236162.19 251163.87 243
ADS-MVSNet443.33 230482.84 230324.79 249434.94 262387.73 2601110.57 25487.69 247887.02 256282.92 246779.29 24698.57 239422.76 258502.40 236162.19 251163.87 243
DP-MVS Recon516.25 239581.17 240321.48 248361.02 246429.00 2641995.36 27678.48 242796.20 252283.32 248796.02 25096.78 236382.98 251636.72 257186.66 259152.46 240
MVP-Stereo473.58 233533.67 235293.33 240376.00 250318.00 2481461.00 26696.00 252835.00 253290.00 249804.00 25197.00 237383.00 252688.00 263156.00 244179.00 247
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 233533.67 235293.33 240376.00 250318.00 2481461.00 26696.00 252835.00 253290.00 249804.00 25197.00 237383.00 252688.00 263156.00 244179.00 247
WBMVS655.88 245770.84 250310.98 246391.79 256353.00 2562280.68 27899.17 2591776.79 292301.20 2511123.23 274187.34 274390.28 254620.39 254156.98 246189.66 252
testing3-2489.51 235555.88 238290.42 239362.21 247319.27 2501424.84 26588.81 249964.80 260309.62 252879.13 258174.38 264363.98 245643.82 259155.29 243188.01 250
PatchmatchNetpermissive492.52 236551.22 237316.40 247400.20 258357.90 2581277.10 263115.80 2631034.60 269315.90 253874.00 257155.10 258402.20 255629.50 256158.80 248189.10 251
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
SSC-MVS3.2667.82 247787.71 251308.16 244385.94 254327.65 2531718.51 271117.00 2651942.46 297317.12 2541488.73 288183.89 265404.82 256763.70 265172.02 254192.01 254
UBG667.82 247787.71 251308.16 244385.94 254327.65 2531718.51 271117.00 2651942.46 297317.12 2541488.73 288183.89 265404.82 256763.70 265172.02 254192.01 254
DELS-MVS514.57 238587.73 241295.12 242343.03 244328.09 2551540.48 270116.22 264988.59 261325.44 256906.22 259119.86 248365.72 248788.60 267161.09 250191.55 253
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 246754.00 248383.51 252368.96 248376.38 2592483.74 29082.42 2441089.25 270333.39 2571219.68 27566.53 229573.60 275957.86 273184.14 258200.56 256
tpmvs501.65 237567.42 239304.33 243395.39 257356.32 2571512.04 269216.53 292994.15 262350.16 258804.16 253119.38 247380.98 249555.14 249159.87 249175.69 246
IterMVS615.05 243691.66 246385.23 253516.40 265454.80 2651863.80 274102.10 2601142.20 271364.10 2591093.20 273135.00 251480.40 261826.90 268181.20 256220.50 257
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 244700.96 247362.78 251426.10 261409.25 2621822.69 273124.42 2751186.23 272366.85 2601079.42 271190.60 276451.78 260930.72 272181.59 257227.30 258
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 251859.03 256487.38 266595.68 267536.14 2702346.27 280142.51 2801488.08 279422.43 2611361.32 279163.65 261628.60 2801003.74 282207.61 263297.41 272
SixPastTwentyTwo773.62 252869.37 258486.35 265603.45 269547.15 2792532.14 291106.92 2621434.95 278428.08 2621360.56 278165.15 262628.96 281984.09 274209.01 264282.94 269
lessismore_v0569.20 271667.25 288644.68 28896.45 254428.86 2631514.17 290204.21 283756.58 2841061.60 284197.79 261306.34 273
IterMVS-LS758.94 250856.56 255466.10 263606.60 270546.80 2782309.90 279122.20 2741402.80 277463.50 2641348.20 277192.60 277574.60 2761028.60 283234.60 274276.90 268
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
mvs_anonymous774.90 253882.28 259452.77 255636.50 279537.20 2712348.80 281120.30 2671504.30 280474.40 2651371.10 280186.90 267564.70 2681078.90 285219.30 265256.40 259
casdiffmvspermissive774.90 253882.28 259452.77 255636.50 279537.20 2712348.80 281120.30 2671504.30 280474.40 2651371.10 280186.90 267564.70 2681078.90 285219.30 265256.40 259
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 253882.28 259452.77 255636.50 279537.20 2712348.80 281120.30 2671504.30 280474.40 2651371.10 280186.90 267564.70 2681078.90 285219.30 265256.40 259
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 253882.28 259452.77 255636.50 279537.20 2712348.80 281120.30 2671504.30 280474.40 2651371.10 280186.90 267564.70 2681078.90 285219.30 265256.40 259
baseline1774.90 253882.28 259452.77 255636.50 279537.20 2712348.80 281120.30 2671504.30 280474.40 2651371.10 280186.90 267564.70 2681078.90 285219.30 265256.40 259
casdiffmvs_mvgpermissive774.90 253882.28 259452.77 255636.50 279537.20 2712348.80 281120.30 2671504.30 280474.40 2651371.10 280186.90 267564.70 2681078.90 285219.30 265256.40 259
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 253882.28 259452.77 255636.50 279537.20 2712348.80 281120.30 2671504.30 280474.40 2651371.10 280186.90 267564.70 2681078.90 285219.30 265256.40 259
ACMH993.80 5967.92 2681106.11 278553.33 269494.00 264534.00 2693581.00 296136.00 2771585.00 289478.00 2721871.00 29590.00 232839.00 2871460.00 296260.00 275287.00 270
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet1207.94 6829.56 263937.18 266506.69 267645.55 286585.72 2812477.98 289130.52 2761578.29 288509.50 2731460.01 287194.90 278637.19 2821170.78 293267.07 278297.17 271
Gipumacopyleft689.75 249767.00 249458.00 262613.00 277549.00 2801943.00 275187.00 2891230.00 273518.00 2741092.00 272203.00 282564.00 267892.00 271225.00 272261.00 266
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft863.65 3957.08 2671054.11 276666.00 281401.00 259495.00 2673790.00 298279.00 2941607.00 290521.00 2751745.00 29390.00 2321105.00 304639.00 258415.00 289398.00 286
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
K. test v3877.74 265980.16 268570.46 2721316.85 311813.15 2972565.52 292103.78 2611509.49 287548.33 2761258.90 276219.93 287587.82 2771102.37 292196.30 260310.42 274
GG-mvs-BLEND596.01 273611.29 274600.33 282790.30 233513.12 328552.71 277567.40 227662.54 332531.67 262503.93 238779.80 310656.02 294
gg-mvs-nofinetune594.69 240605.37 242562.67 270617.29 278500.33 268772.30 232413.12 313579.21 231552.71 277567.40 227662.54 332531.67 262503.93 238779.80 310656.02 294
CR-MVSNet612.36 242617.81 245596.01 273611.29 274600.33 282790.30 233513.12 328579.21 231552.71 277567.40 227662.54 332531.67 262503.93 238779.80 310656.02 294
MVSTER890.06 2661005.91 275542.52 268736.13 291653.90 2892616.56 293145.22 2821692.10 291555.69 2801554.72 291266.25 289660.02 2831219.66 294266.84 277313.64 275
ACMP1246.57 71086.24 2761235.17 280639.45 276596.53 268639.91 2873904.24 299152.04 2831851.54 294566.58 2811997.95 297138.50 253938.30 2911605.46 298303.70 284340.14 277
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PVSNet_01661.03 9968.54 2691066.82 277673.70 282706.94 289695.69 2902669.02 294153.52 2842108.17 300605.54 2821679.14 292213.26 286886.75 2901236.76 295229.01 273438.67 287
tmp_tt371.08 220412.78 221246.00 231231.00 228197.00 2311293.00 264376.00 305756.00 250609.00 28371.00 199106.00 242195.00 226102.00 205171.00 253346.00 279
RE-MVS-def610.10 243610.10 272610.10 285610.10 226610.10 337610.10 237610.10 284610.10 233610.10 320610.10 252610.10 293610.10 291
SR-MVS610.10 241610.10 243610.10 275610.10 272610.10 285610.10 226610.10 337610.10 237610.10 284610.10 233610.10 320610.10 278610.10 252610.10 293610.10 291
MSLP-MVS++1242.93 2811411.08 284738.48 286712.71 290712.68 2914168.17 301136.50 2782276.40 302613.28 2862368.60 302161.61 2601130.38 3051964.54 305297.88 281372.39 282
MVS_111021_LR1136.45 2791298.72 282649.64 277756.17 292726.26 2933785.94 297138.15 2792190.64 301629.63 2872064.39 298165.45 263874.83 2891678.43 301279.70 279347.82 280
ACMMPR1296.60 2831480.82 286743.96 287899.25 296763.47 2954305.47 302143.90 2812530.94 305683.99 2882346.34 301201.65 2811098.25 3031920.59 304295.21 280370.16 281
test_04021110.00 2781260.00 281660.00 278900.00 297780.00 2963300.00 295210.00 2912040.00 299690.00 2891950.00 296300.00 293810.00 2861620.00 299330.00 285390.00 285
DeepC-MVS_fast2190.19 121535.59 2861886.82 290481.89 264847.73 293830.16 2987943.84 323189.23 2902398.83 303691.73 2902341.13 300209.16 284230.25 2291999.25 306360.46 286385.25 284
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 2801332.72 283662.07 280584.90 266715.99 2924373.59 303153.99 2851880.27 295709.02 2912316.97 299188.63 275939.89 2921484.30 297302.78 283330.34 276
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
TSAR-MVS + GP.1386.84 2841622.84 288678.81 283952.13 298840.17 2995358.21 307170.75 2872650.47 306713.54 2922394.28 303209.42 285855.56 2881854.36 303302.42 282340.71 278
MG-MVS1256.50 2821432.00 285730.00 285610.00 271760.00 2944720.00 304169.00 2861920.00 296723.00 2932510.00 305201.00 2801050.00 3021645.00 300390.00 288380.00 283
CSCG826.03 262963.29 267414.24 254421.52 260426.11 2632230.35 277179.52 2881827.44 293733.43 294933.12 261281.25 290545.23 2661800.35 302262.64 276271.38 267
FPMVS1407.00 2851495.59 2871141.23 298648.01 287893.85 3014124.00 300503.81 3273219.04 309742.72 2952498.84 304157.98 2591727.83 311832.93 269732.98 309802.00 303
Patchmtry1090.75 2771198.88 279766.38 2881290.90 309485.90 2662423.98 2881267.30 3601297.17 274923.90 296923.40 2601215.54 353990.23 293667.90 260779.80 310823.02 308
PatchT856.34 264860.99 257842.38 2891290.90 309880.90 300790.30 2331267.30 360579.21 231923.90 296567.40 227662.54 332990.23 293887.56 270779.80 310656.02 294
COLMAP_ROBcopyleft2144.59 111658.33 2871869.33 2891025.33 2971030.00 3061023.00 3115311.00 306359.00 3033044.00 307937.00 2982892.00 306332.00 2971440.00 3082312.00 308607.00 292613.00 293
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ambc999.00 290999.00 299999.00 304999.00 246999.00 353999.00 299999.00 262999.00 345999.00 295999.00 275999.00 329999.00 326
OurMVSNet-221017-0999.00 270999.00 269999.00 290999.00 299999.00 304999.00 246999.00 353999.00 263999.00 299999.00 262999.00 345999.00 295999.00 275999.00 329999.00 326
EPMVS999.00 270999.00 269999.00 290999.00 299999.00 304999.00 246999.00 353999.00 263999.00 299999.00 262999.00 345999.00 295999.00 275999.00 329999.00 326
uanet_test1000.00 2721000.00 2711000.00 2931000.00 3021000.00 3071000.00 2491000.00 3561000.00 2651000.00 3021000.00 2651000.00 3481000.00 2981000.00 2781000.00 3321000.00 329
sosnet1000.00 2721000.00 2711000.00 2931000.00 3021000.00 3071000.00 2491000.00 3561000.00 2651000.00 3021000.00 2651000.00 3481000.00 2981000.00 2781000.00 3321000.00 329
USDC1000.00 2721000.00 2711000.00 2931000.00 3021000.00 3071000.00 2491000.00 3561000.00 2651000.00 3021000.00 2651000.00 3481000.00 2981000.00 2781000.00 3321000.00 329
TinyColmap1000.00 2721000.00 2711000.00 2931000.00 3021000.00 3071000.00 2491000.00 3561000.00 2651000.00 3021000.00 2651000.00 3481000.00 2981000.00 2781000.00 3321000.00 329
JIA-IIPM804.30 261835.64 254710.26 284885.90 294895.90 302455.98 224668.73 3421297.17 2741002.26 3061001.67 269655.98 330756.98 285667.90 260885.21 322477.90 288
RPMNet787.26 260829.13 253661.63 279885.90 294895.90 302455.98 224610.10 3371297.17 2741002.26 3061001.67 269655.98 330611.10 279667.90 260885.21 322477.90 288
F-COLMAP1878.17 2882113.11 2911173.33 3011231.00 3071174.00 3126297.00 309392.00 3083356.00 3111087.00 3083082.00 307361.00 3011670.00 3102523.00 310689.00 299676.00 298
PCF-MVS4335.85 202272.23 2942597.03 2971297.84 3021701.20 3161332.37 3138105.11 324451.45 3164031.84 3161099.10 3093966.50 315467.45 3091734.05 3122701.68 313848.94 319827.11 309
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CMPMVSbinary2623.62 151983.08 2902156.14 2921463.89 3111414.80 3131517.00 3175239.20 305867.40 3473310.30 3101128.70 3103489.90 310366.75 3022030.20 3222427.60 3091160.60 341844.46 311
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVScopyleft2352.88 132263.08 2932530.89 2961459.67 3101767.00 3241591.00 3207932.00 322399.00 3093643.00 3121176.00 3113569.00 312297.00 2921927.00 3183302.00 316693.00 304861.00 312
MVS-HIRNet2125.39 2912452.68 2941143.53 2992938.33 3541446.92 3166083.19 308391.74 3073801.71 3141202.10 3123439.72 309492.73 3111304.35 3073048.25 315676.32 298679.32 299
ZD-MVS1584.00 3141821.00 337378.00 3063721.00 3131231.00 3131833.00 294321.00 2961224.00 3062103.00 307692.00 303
DeepPCF-MVS3452.42 182670.71 3023021.57 3041618.12 3132377.67 3401751.39 3338915.70 329567.44 3354569.74 3231236.84 3144615.63 321513.23 3122291.32 3243515.48 320882.39 321811.66 305
PLCcopyleft2858.82 162192.92 2922474.00 2951349.67 3031407.00 3121356.00 3147164.00 314475.00 3203970.00 3151237.00 3153765.00 314451.00 3081891.00 3163006.00 314791.00 315802.00 303
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
Vis-MVSNetpermissive2877.42 3053170.00 3081999.67 3261673.00 3152042.00 3438593.00 327474.00 3196452.00 3401268.00 3165125.00 328339.00 2983004.00 3404222.00 330384.00 287953.00 322
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
DeepC-MVS3917.13 193155.06 3083601.83 3111814.72 3212515.52 3431941.53 33810432.50 344589.42 3364789.45 3241298.65 3177677.31 346578.35 3192589.53 3303611.78 322923.52 324913.10 317
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 3271363.85 3184894.28 325387.23 3032023.43 3193973.88 324620.04 295732.56 300
test07261725.60 3171598.35 3219203.30 330315.86 2975016.02 3271363.85 3184894.28 325387.23 303
SD-MVS2654.53 3013055.56 3061451.45 3081725.60 3171598.35 3219203.30 330315.86 2975016.02 3271363.85 3184894.28 325387.23 3032023.43 3193973.88 324620.04 295732.56 300
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 2982839.56 3011606.00 3121732.00 3201557.00 3198375.00 326483.00 3214370.00 3211371.00 3214200.00 316350.00 2992207.00 3233877.00 323798.00 3161054.00 333
SteuartSystems-ACMMP2891.50 3063284.78 3091711.67 3161954.00 3271655.00 32710117.00 343445.00 3155102.00 3301375.00 3225126.00 329351.00 3002638.00 3364402.00 331691.00 302842.00 310
Skip Steuart: Steuart Systems R&D Blog.
AdaColmapbinary2570.77 3002948.61 3031437.24 3071873.64 3261526.60 3187819.77 321373.97 3044970.45 3251479.29 3234648.46 322525.80 3141904.97 3174150.42 328695.69 305880.14 316
LF4IMVS2699.50 3033049.67 3051649.00 3141755.00 3211689.00 3288330.00 325464.00 3184997.00 3261528.00 3244763.00 324568.00 3182296.00 3254215.00 329827.00 318962.00 323
tpmrst2557.50 2992847.12 3021688.66 3151784.08 3251778.25 3347445.50 320342.14 3004471.54 3221534.55 3254382.10 320530.10 3152361.21 3264142.81 327991.22 327926.51 318
CHOSEN 280x4202340.81 2952643.03 2981434.14 3042025.55 3331629.36 3246542.40 310412.49 3104219.70 3181547.02 3264328.52 317650.74 3271798.26 3133333.17 317727.72 306874.79 313
CHOSEN 1792x26882340.81 2952643.03 2981434.14 3042025.55 3331629.36 3246542.40 310412.49 3104219.70 3181547.02 3264328.52 317650.74 3271798.26 3133333.17 317727.72 306874.79 313
HyFIR lowres test2340.81 2952643.03 2981434.14 3042025.55 3331629.36 3246542.40 310412.49 3104219.70 3181547.02 3264328.52 317650.74 3271798.26 3133333.17 317727.72 306874.79 313
DPM-MVS3268.00 3093762.89 3121783.33 3191756.00 3221806.00 33512319.00 346307.00 2956319.00 3381557.00 3295763.00 331302.00 2942609.00 3325061.00 335482.00 290935.00 320
OPM-MVS3268.00 3093762.89 3121783.33 3191756.00 3221806.00 33512319.00 346307.00 2956319.00 3381557.00 3295763.00 331302.00 2942609.00 3325061.00 335482.00 290935.00 320
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
EGC-MVSNET2819.75 3043096.89 3071988.33 3253105.00 3552241.00 3459480.00 334640.00 3414209.00 3171583.00 3314740.00 323547.00 3172797.00 3382644.00 312924.00 325927.00 319
tpm23617.85 3134007.23 3152449.73 3332012.71 3291698.05 3297351.19 316869.29 3486132.06 3331588.28 3328007.42 3491281.09 3543888.11 3537472.04 3531351.00 3431763.02 349
tpm cat13617.85 3134007.23 3152449.73 3332012.71 3291698.05 3297351.19 316869.29 3486132.06 3331588.28 3328007.42 3491281.09 3543888.11 3537472.04 3531351.00 3431763.02 349
CostFormer3617.85 3134007.23 3152449.73 3332012.71 3291698.05 3297351.19 316869.29 3486132.06 3331588.28 3328007.42 3491281.09 3543888.11 3537472.04 3531351.00 3431763.02 349
tpm3617.85 3134007.23 3152449.73 3332012.71 3291698.05 3297351.19 316869.29 3486132.06 3331588.28 3328007.42 3491281.09 3543888.11 3537472.04 3531351.00 3431763.02 349
DVP-MVS++3981.10 3194731.32 3241730.42 3172191.51 3361949.98 33916473.90 355355.33 3017172.90 3491622.98 3367879.79 347434.33 3062428.11 3285762.12 338689.04 300813.18 306
DVP-MVScopyleft3981.10 3194731.32 3241730.42 3172191.51 3361949.98 33916473.90 355355.33 3017172.90 3491622.98 3367879.79 347434.33 3062428.11 3285762.12 338689.04 300813.18 306
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 2892224.88 2931163.39 3001253.91 3081434.22 3157065.71 313272.76 2932472.29 3041647.54 3383538.72 311200.37 2791496.48 3092575.17 311997.45 328559.48 290
TAPA-MVS6309.84 213374.90 3113806.99 3142078.63 3282535.47 3442499.25 3538816.16 328456.05 3176255.60 3371664.52 3396704.88 336629.95 3252768.38 3376343.93 349856.35 320968.25 324
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 3124065.89 3191914.35 3222349.10 3392141.30 34412362.70 348417.60 3146717.80 3441759.40 3406497.50 334518.18 3132629.38 3355164.32 337806.40 317972.38 325
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 3073537.00 3101975.67 3232310.00 3382005.00 34210100.00 342626.00 3405753.00 3311803.00 3415179.00 330487.00 3102622.00 3344550.00 3321025.00 3361300.00 340
ITE_SJBPF2014.00 3271998.00 3281992.00 341701.00 3435989.00 3321812.00 3423612.00 313650.00 3262852.00 3394601.00 3331195.00 3421198.00 339
MVS_111021_HR3742.80 3174330.34 3201980.20 3242484.31 3422259.52 34614973.80 353515.90 3346500.13 3411949.21 3436146.89 333535.66 3162593.66 3314880.76 334986.37 3261087.43 334
FOURS12643.17 3452465.14 34813996.40 350493.26 3227619.38 3522107.24 344
PC_three_14527619.38 3522107.24 3447416.93 343610.24 3223088.29 3456075.14 3451078.39 3371159.26 335
test_one_06012643.17 3452465.14 348493.26 3227619.38 3522107.24 3447416.93 343610.24 322
SED-MVS4062.74 3224671.13 3232237.56 3292643.17 3452465.14 34813996.40 350493.26 3227619.38 3522107.24 3447416.93 343610.24 3223088.29 3456075.14 3451078.39 3371159.26 335
IU-MVS2725.60 3502598.35 354515.86 3307016.02 3452363.85 3485973.88 3411620.04 3491732.56 345
test_241102_TWO515.86 3307016.02 3452363.85 3486894.28 337887.23 3403023.43 3415973.88 3411620.04 3491732.56 345
test_241102_ONE2725.60 3502598.35 354515.86 3307016.02 3452363.85 3486894.28 337887.23 3403023.43 341
MSP-MVS4296.20 3234911.12 3272451.45 3372725.60 3502598.35 35416203.30 354515.86 3307016.02 3452363.85 3486894.28 337887.23 3403023.43 3415973.88 3411620.04 3491732.56 345
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 3214533.33 3222400.00 3322400.00 3412400.00 3477200.00 3152400.00 3647200.00 3512400.00 3527200.00 3412400.00 3582400.00 3277200.00 3512400.00 3552400.00 354
MAR-MVS3973.16 3184387.92 3212728.86 3393345.27 3573341.39 36111403.90 345798.76 3456555.62 3432569.29 3536514.86 335834.97 3393237.43 3505891.08 3401577.54 3481607.76 341
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 3244906.56 3262803.67 3403844.00 3583116.00 35913454.00 349901.00 3526511.00 3422794.00 3547365.00 342754.00 3363634.00 3516622.00 3501914.00 3541661.00 344
OMC-MVS5022.26 3255748.82 3282842.58 3414905.27 3603101.27 35814933.60 352812.24 3469278.40 3562959.29 3558800.17 3531092.24 3523806.30 3527568.54 3571389.60 3471620.18 343
TestfortrainingZip3151.39 3423151.39 3563151.39 36021344.80 3573151.39 3653151.39 3083151.39 3563151.39 3083151.39 3603151.39 3493151.39 3573151.39 355
LS3D7684.71 3278776.23 3304410.16 3445298.55 3615631.53 36334329.90 3641504.57 36211554.00 3653896.41 35715111.00 362812.19 3375985.63 3583516.20 3212963.23 3561613.31 342
CLD-MVS7338.25 3268341.00 3294330.00 3434902.00 3594991.00 36223318.00 362728.00 34414437.00 3664378.00 35813379.00 361824.00 3385708.00 35711429.00 3661674.00 3532291.00 353
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 33510002.44 33812195.33 3536242.00 3628768.00 36530896.00 3634451.00 36610331.00 3646247.00 35918296.00 363283.00 29121484.00 3677364.00 3525912.00 3596334.00 357
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 33611772.44 3397637.33 3459120.00 3638206.00 36422252.00 3612010.00 36324984.00 3677458.00 36022596.00 3642940.00 35910260.00 36611100.00 3653492.00 3584446.00 356
ZNCC-MVS9999.00 3289999.00 3319999.00 3469999.00 3649999.00 3669999.00 3359999.00 3699999.00 3579999.00 3619999.00 3549999.00 3629999.00 3599999.00 3589999.00 3609999.00 358
patch_mono-210000.00 32910000.00 33210000.00 34710000.00 36510000.00 36710000.00 33610000.00 37010000.00 35810000.00 36210000.00 35510000.00 36310000.00 36010000.00 35910000.00 36110000.00 359
dcpmvs_210000.00 32910000.00 33210000.00 34710000.00 36510000.00 36710000.00 33610000.00 37010000.00 35810000.00 36210000.00 35510000.00 36310000.00 36010000.00 35910000.00 36110000.00 359
DCPMVS10000.00 32910000.00 33210000.00 34710000.00 36510000.00 36710000.00 33610000.00 37010000.00 35810000.00 36210000.00 35510000.00 36310000.00 36010000.00 35910000.00 36110000.00 359
UA-Net10000.00 32910000.00 33210000.00 34710000.00 36510000.00 36710000.00 33610000.00 37010000.00 35810000.00 36210000.00 35510000.00 36310000.00 36010000.00 35910000.00 36110000.00 359
uncertanet10000.00 32910000.00 33210000.00 34710000.00 36510000.00 36710000.00 33610000.00 37010000.00 35810000.00 36210000.00 35510000.00 36310000.00 36010000.00 35910000.00 36110000.00 359
uanet10000.00 32910000.00 33210000.00 34710000.00 36510000.00 36710000.00 33610000.00 37010000.00 35810000.00 36210000.00 35510000.00 36310000.00 36010000.00 35910000.00 36110000.00 359
LTVRE_ROB20565.47 2323378.08 33722805.00 34025097.33 35415500.00 37119201.00 37342712.00 3656055.00 36738388.00 36816926.00 36838534.00 3657071.00 36135653.00 36829475.00 36710584.00 36720438.00 366
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 33834443.44 34127094.33 35529249.00 37225246.00 37451144.00 3666705.00 36842886.00 36922888.00 36948534.00 36613263.00 36937507.00 36979298.00 36816024.00 36818530.00 365
114514_t99999.00 33999999.00 34299999.00 35699999.00 37399999.00 37599999.00 36799999.00 37699999.00 37099999.00 37099999.00 36799999.00 37099999.00 37099999.00 36999999.00 36999999.00 367
PHI-MVS99999.00 33999999.00 34299999.00 35699999.00 37399999.00 37599999.00 36799999.00 37699999.00 37099999.00 37099999.00 36799999.00 37099999.00 37099999.00 36999999.00 36999999.00 367
XVG-OURS-SEG-HR999999.00 343999999.00 344999999.00 358999999.00 375999999.00 377999999.00 369999999.00 378999999.00 372999999.00 372999999.00 369999999.00 372999999.00 372999999.00 371999999.00 371999999.00 369
XVG-OURS999999.00 343999999.00 344999999.00 358999999.00 375999999.00 377999999.00 369999999.00 378999999.00 372999999.00 372999999.00 369999999.00 372999999.00 372999999.00 371999999.00 371999999.00 369
XVG-ACMP-BASELINE999999.00 343999999.00 344999999.00 358999999.00 375999999.00 377999999.00 369999999.00 378999999.00 372999999.00 372999999.00 369999999.00 372999999.00 372999999.00 371999999.00 371999999.00 369
MED-MVS test10000000.00 36110000000.00 37810000000.00 38021344.80 35710000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37410000000.00 37410000000.00 372
MED-MVS9168445.40 3468891260.53 34910000000.00 36110000000.00 37810000000.00 38021344.80 35710000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
TestfortrainingZip a9168445.40 3468891260.53 34910000000.00 36110000000.00 37810000000.00 38021344.80 35710000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
mamba_040810000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
icg_test_0407_210000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
SSM_0407210000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
SSM_040710000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
IMVS_040710000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
IMVS_040410000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
SSM_040410000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
IMVS_040310000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
SD_040310000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
ME-MVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
NormalMVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
lecture10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
SymmetryMVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
Elysia10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
StellarMVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
KinetiMVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
LuminaMVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
VortexMVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
AstraMVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
guyue10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
sc_t110000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
tt0320-xc10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
tt032010000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
MVSMamba_PlusPlus10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
MGCFI-Net10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
sasdasda10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
dmvs_re10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
SDMVSNet10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
dmvs_testset10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
sd_testset10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
balanced_conf0310000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
MonoMVSNet10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
test250610000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
test111110000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
ECVR-MVScopyleft10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
test_blank10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
tt080510000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
Anonymous2024052110000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
cl2210000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
miper_ehance_all_eth10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
miper_enhance_ethall10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
cl____10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
DIV-MVS_self_test10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
eth_miper_zixun_eth10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
ET-MVSNet_ETH3D10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
UniMVSNet_ETH3D10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
miper_lstm_enhance10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
D2MVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
test_yl10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
thisisatest053010000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
Anonymous2024052910000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
Anonymous20240521110000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
DCV-MVSNet10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
tttt051710000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
our_test_310000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
thisisatest051510000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
ppachtmachnet_test10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
SMA-MVScopyleft10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
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 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part210000000.00 37810000000.00 38010000000.00 375
thres100view90010000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
tfpnnormal10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
tfpn200view910000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
c3_l10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
IterMVS-SCA-FT10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
pmmvs610000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
pmmvs510000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
Anonymous2023121110000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
pmmvs-eth3d10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
Anonymous2023120610000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
SCA10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
Patchmatch-test10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
Patchmatch-RL test10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
canonicalmvs10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
anonymousdsp10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
FIs10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
FC-MVSNet-test10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
sosnet-low-res10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
AllTest10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
TestCases10000000.00 36110000000.00 37810000000.00 38010000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
RRT-MVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
balanced_ft_v110000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
HPM-MVS++copyleft10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
XVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
pm-mvs110000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
X-MVStestdata10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
APDe-MVScopyleft10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
pmmvs410000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
test-LLR10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
TESTMET0.1,110000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
test-mter10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
testgi10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
test20.0310000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
thres600view710000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
MP-MVScopyleft10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
thres40010000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
test12310000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
thres20010000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
test0.0.03 110000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
pmmvs310000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
EMVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
E-PMN10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
PGM-MVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
MCST-MVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
MVS_Test10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
PMMVS210000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
PM-MVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
HQP_MVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
plane_prior310000000.00 38010000000.00 37510000000.00 375
mPP-MVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
mvsmamba10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
HPM-MVS_fast10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
HPM-MVScopyleft10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
LGP-MVS_train10000000.00 36110000000.00 37810000000.00 38010000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
EPNet_dtu10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP-NCC10000000.00 37810000000.00 37210000000.00 37510000000.00 375
ACMP_Plane10000000.00 37810000000.00 37210000000.00 37510000000.00 375
HQP4-MVS10000000.00 37510000000.00 37510000000.00 372
CNVR-MVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
NCCC10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
CP-MVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
CPTT-MVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
HQP-MVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
IS-MVSNet10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
PAPM_NR10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
PAPR10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
Vis-MVSNet (Re-imp)10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
PatchMatch-RL10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
TDRefinement10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
EPP-MVSNet10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
PMMVS10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
PAPM10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
ACMMPcopyleft10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
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 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
wuyk23d10000000.00 34810000000.00 35110000000.00 36110000000.00 37810000000.00 38010000000.00 37210000000.00 38110000000.00 37510000000.00 37510000000.00 37210000000.00 37510000000.00 37510000000.00 37410000000.00 37410000000.00 372
APD-MVScopyleft1000000000.00 4801000000000.00 4831000000000.00 4981000000000.00 5231000000000.00 5231000000000.00 5091000000000.00 5231000000000.00 5161000000000.00 5171000000000.00 5141000000000.00 5181000000000.00 5171000000000.00 5151000000000.00 5151000000000.00 513
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
WAC-MVS248.46 238422.23 231
MSC_two_6792asdad2237.56 3292643.17 3452465.14 348493.26 3223088.29 3456075.14 3451078.39 3371159.26 335
No_MVS2237.56 3292643.17 3452465.14 348493.26 3223088.29 3456075.14 3451078.39 3371159.26 335
eth-test21.42 131
eth-test10000000.00 378
OPU-MVS2451.45 3372725.60 3502598.35 3549203.30 3306894.28 337887.23 3403023.43 3415973.88 3411620.04 3491732.56 345
save fliter0.00 10.00 10.00 10.00 10.00 1
test_0728_SECOND1451.45 3081725.60 3171598.35 3219203.30 330315.86 2972023.43 3193973.88 324620.04 295732.56 300
GSMVS10000000.00 372
sam_mvs110000000.00 37510000000.00 372
sam_mvs10000000.00 375
MTGPAbinary10000000.00 381
test_post110000000.00 37210000000.00 37210000000.00 37510000000.00 37510000000.00 374
test_post10000000.00 37210000000.00 37510000000.00 375
patchmatchnet-post10000000.00 37210000000.00 37510000000.00 375
MTMP10000000.00 37210000000.00 381
gm-plane-assit611.29 274600.33 282579.21 231567.40 227531.67 262503.93 238
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 37810000000.00 380
plane_prior610000000.00 37810000000.00 38010000000.00 375
plane_prior510000000.00 38110000000.00 37510000000.00 37410000000.00 37410000000.00 372
plane_prior410000000.00 372
plane_prior210000000.00 37210000000.00 375
plane_prior110000000.00 378
plane_prior1.00 1252.00 1632.00 1642.00 162
n214.20 205
nn1.42 133
door-mid1.42 133
test111.00 126
door99.00 258
HQP5-MVS10000000.00 380
BP-MVS10000000.00 374
HQP3-MVS10000000.00 38110000000.00 374
HQP2-MVS10000000.00 375
NP-MVS10000000.00 37810000000.00 38010000000.00 372
ACMMP++_ref10000000.00 374
ACMMP++10000000.00 374
Test By Simon990.00 344