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 bysorted bysort bysort bysort bysort bysort bysort bysort by
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
save fliter0.00 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
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
无先验0.00 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
testdata10.00 10.00 1
13140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
QAPM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
h-mvs330.30 810.30 820.30 860.30 930.30 930.30 930.30 940.30 930.30 920.30 900.30 920.30 930.30 910.30 910.30 91
hse-mvs20.30 810.30 820.30 860.30 930.30 930.30 930.30 940.30 930.30 920.30 900.30 920.30 930.30 910.30 910.30 91
CL-MVSNet_self_test0.30 810.30 820.30 860.30 930.30 930.30 930.30 940.30 930.30 920.30 900.30 920.30 930.30 910.30 910.30 91
AUN-MVS0.30 810.30 820.30 860.30 930.30 930.30 930.30 940.30 930.30 920.30 900.30 920.30 930.30 910.30 910.30 91
LCM-MVSNet0.37 850.36 860.37 900.37 970.37 970.37 970.32 980.37 970.37 960.37 940.37 960.37 970.37 950.37 950.37 95
v1441920.40 860.40 870.40 910.40 980.40 980.40 980.40 1000.40 980.40 970.40 950.40 970.40 980.40 960.40 960.40 96
v19219200.40 860.40 870.40 910.40 980.40 980.40 980.40 1000.40 980.40 970.40 950.40 970.40 980.40 960.40 960.40 96
v11920.40 860.40 870.40 910.40 980.40 980.40 980.40 1000.40 980.40 970.40 950.40 970.40 980.40 960.40 960.40 96
v11440.40 860.40 870.40 910.40 980.40 980.40 980.40 1000.40 980.40 970.40 950.40 970.40 980.40 960.40 960.40 96
v1480.40 860.40 870.40 910.40 980.40 980.40 980.40 1000.40 980.40 970.40 950.40 970.40 980.40 960.40 960.40 96
v7n0.40 860.40 870.40 910.40 980.40 980.40 980.40 1000.40 980.40 970.40 950.40 970.40 980.40 960.40 960.40 96
v12400.40 860.40 870.40 910.40 980.40 980.40 980.40 1000.40 980.40 970.40 950.40 970.40 980.40 960.40 960.40 96
v80.40 860.40 870.40 910.40 980.40 980.40 980.40 1000.40 980.40 970.40 950.40 970.40 980.40 960.40 960.40 96
v100.40 860.40 870.40 910.40 980.40 980.40 980.40 1000.40 980.40 970.40 950.40 970.40 980.40 960.40 960.40 96
v2v4820.40 860.40 870.40 910.40 980.40 980.40 980.40 1000.40 980.40 970.40 950.40 970.40 980.40 960.40 960.40 96
V420.40 860.40 870.40 910.40 980.40 980.40 980.40 1000.40 980.40 970.40 950.40 970.40 980.40 960.40 960.40 96
GA-MVS0.40 860.40 870.40 910.40 980.40 980.40 980.40 1000.40 980.40 970.40 950.40 970.40 980.40 960.40 960.40 96
Fast-Effi-MVS+0.41 980.40 870.41 1030.41 1100.41 1100.41 1100.35 990.41 1100.41 1090.41 1070.41 1090.41 1100.41 1080.41 1080.41 108
Fast-Effi-MVS+-dtu0.44 990.44 1000.44 1040.44 1110.44 1110.44 1110.44 1120.44 1110.44 1100.44 1080.44 1100.44 1110.44 1090.44 1090.44 109
Effi-MVS+0.58 1000.56 1010.62 1070.53 1120.62 1140.53 1120.53 1130.53 1120.62 1130.62 1110.53 1110.62 1140.62 1110.53 1100.62 112
KD-MVS_self_test0.60 1020.60 1020.60 1060.60 1130.60 1130.60 1140.60 1140.60 1130.60 1120.60 1100.60 1120.60 1130.60 1100.60 1120.60 111
EIA-MVS0.62 1030.62 1040.62 1070.62 1140.62 1140.62 1150.62 1150.62 1140.62 1130.62 1110.62 1130.62 1140.62 1110.62 1130.62 112
ETV-MVS0.62 1030.62 1040.62 1070.62 1140.62 1140.62 1150.62 1150.62 1140.62 1130.62 1110.62 1130.62 1140.62 1110.62 1130.62 112
CS-MVS0.62 1030.62 1040.62 1070.62 1140.62 1140.62 1150.62 1150.62 1140.62 1130.62 1110.62 1130.62 1140.62 1110.62 1130.62 112
SPE-MVS-test0.62 1030.62 1040.62 1070.62 1140.62 1140.62 1150.62 1150.62 1140.62 1130.62 1110.62 1130.62 1140.62 1110.62 1130.62 112
EC-MVSNet0.62 1030.62 1040.62 1070.62 1140.62 1140.62 1150.62 1150.62 1140.62 1130.62 1110.62 1130.62 1140.62 1110.62 1130.62 112
Effi-MVS+-dtu0.59 1010.61 1030.53 1050.68 1190.53 1120.53 1120.68 1200.68 1190.53 1110.53 1090.68 1180.53 1120.68 1170.53 1100.53 110
CDS-MVSNet0.88 1080.88 1090.88 1130.88 1200.88 1200.88 1200.88 1210.88 1200.88 1190.88 1170.88 1190.88 1200.88 1180.88 1180.88 118
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 1080.88 1090.88 1130.88 1200.88 1200.88 1200.88 1210.88 1200.88 1190.88 1170.88 1190.88 1200.88 1180.88 1180.88 118
LCM-MVSNet-Re0.89 1100.89 1110.89 1150.89 1220.89 1220.89 1220.89 1230.89 1220.89 1210.89 1190.89 1210.89 1220.89 1200.89 1200.89 120
DeepMVS_CXcopyleft1.00 1161.00 1231.00 1231.00 1241.00 1231.00 1221.00 1201.00 1221.00 1231.00 1211.00 1211.00 121
MDA-MVSNet-bldmvs1.20 1111.20 1121.20 1171.20 1241.20 1251.20 1231.20 1261.20 1241.20 1231.20 1211.20 1231.20 1241.20 1221.20 1221.20 122
YYNet11.20 1111.20 1121.20 1171.20 1241.20 1251.20 1231.20 1261.20 1241.20 1231.20 1211.20 1231.20 1241.20 1221.20 1221.20 122
MDA-MVSNet_test_wron1.20 1111.20 1121.20 1171.20 1241.20 1251.20 1231.20 1261.20 1241.20 1231.20 1211.20 1231.20 1241.20 1221.20 1221.20 122
KD-MVS_2432*16001.30 1141.30 1151.30 1201.30 1271.30 1281.30 1261.30 1291.30 1271.30 1261.30 1241.30 1261.30 1271.30 1251.30 1251.30 125
miper_refine_blended1.30 1141.30 1151.30 1201.30 1271.30 1281.30 1261.30 1291.30 1271.30 1261.30 1241.30 1261.30 1271.30 1251.30 1251.30 125
EI-MVSNet-UG-set1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
EI-MVSNet-Vis-set1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
EI-MVSNet1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
Regformer1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
CVMVSNet1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
EU-MVSNet1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
PS-CasMVS1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
UniMVSNet_NR-MVSNet1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
PEN-MVS1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
TransMVSNet (Re)1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
DTE-MVSNet1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
DU-MVS1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
UniMVSNet (Re)1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
CP-MVSNet1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
WR-MVS_H1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
WR-MVS1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
NR-MVSNet1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
Baseline_NR-MVSNet1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
TranMVSNet+NR-MVSNet1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
MVSFormer1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
jason1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
jason: jason.
lupinMVS1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
test_djsdf1.42 1161.42 1171.42 1221.42 1291.42 1301.42 1281.42 1311.42 1291.42 1281.42 1261.42 1281.42 1291.42 1271.42 1271.42 127
reproduce_monomvs1.48 1391.48 1401.48 1451.48 1531.48 1531.48 1511.48 1561.48 1521.48 1511.48 1491.48 1511.48 1521.48 1501.48 1501.48 150
mmtdpeth1.48 1391.48 1401.48 1451.48 1531.48 1531.48 1511.48 1561.48 1521.48 1511.48 1491.48 1511.48 1521.48 1501.48 1501.48 150
reproduce_model1.48 1391.48 1401.48 1451.48 1531.48 1531.48 1511.48 1561.48 1521.48 1511.48 1491.48 1511.48 1521.48 1501.48 1501.48 150
reproduce-ours1.48 1391.48 1401.48 1451.48 1531.48 1531.48 1511.48 1561.48 1521.48 1511.48 1491.48 1511.48 1521.48 1501.48 1501.48 150
our_new_method1.48 1391.48 1401.48 1451.48 1531.48 1531.48 1511.48 1561.48 1521.48 1511.48 1491.48 1511.48 1521.48 1501.48 1501.48 150
mmdepth1.48 1391.48 1401.48 1451.48 1531.48 1531.48 1511.48 1561.48 1521.48 1511.48 1491.48 1511.48 1521.48 1501.48 1501.48 150
monomultidepth1.48 1391.48 1401.48 1451.48 1531.48 1531.48 1511.48 1561.48 1521.48 1511.48 1491.48 1511.48 1521.48 1501.48 1501.48 150
mvs5depth1.48 1391.48 1401.48 1451.48 1531.48 1531.48 1511.48 1561.48 1521.48 1511.48 1491.48 1511.48 1521.48 1501.48 1501.48 150
MVStest11.48 1391.48 1401.48 1451.48 1531.48 1531.48 1511.48 1561.48 1521.48 1511.48 1491.48 1511.48 1521.48 1501.48 1501.48 150
ttmdpeth1.48 1391.48 1401.48 1451.48 1531.48 1531.48 1511.48 1561.48 1521.48 1511.48 1491.48 1511.48 1521.48 1501.48 1501.48 150
alignmvs2.00 1492.00 1502.00 1552.00 1632.00 1632.00 1612.00 1662.00 1622.00 1612.00 1592.00 1612.00 1622.00 1602.00 1602.00 160
nrg0302.00 1492.00 1502.00 1552.00 1632.00 1632.00 1612.00 1662.00 1622.00 1612.00 1592.00 1612.00 1622.00 1602.00 1602.00 160
LFMVS2.00 1492.00 1502.00 1552.00 1632.00 1632.00 1612.00 1662.00 1622.00 1612.00 1592.00 1612.00 1622.00 1602.00 1602.00 160
VDD-MVS2.00 1492.00 1502.00 1552.00 1632.00 1632.00 1612.00 1662.00 1622.00 1612.00 1592.00 1612.00 1622.00 1602.00 1602.00 160
VDDNet2.00 1492.00 1502.00 1552.00 1632.00 1632.00 1612.00 1662.00 1622.00 1612.00 1592.00 1612.00 1622.00 1602.00 1602.00 160
VPNet2.00 1492.00 1502.00 1552.00 1632.00 1632.00 1612.00 1662.00 1622.00 1612.00 1592.00 1612.00 1622.00 1602.00 1602.00 160
VNet2.00 1492.00 1502.00 1552.00 1632.00 1632.00 1612.00 1662.00 1622.00 1612.00 1592.00 1612.00 1622.00 1602.00 1602.00 160
VPA-MVSNet2.00 1492.00 1502.00 1552.00 1632.00 1632.00 1612.00 1662.00 1622.00 1612.00 1592.00 1612.00 1622.00 1602.00 1602.00 160
plane_prior1.00 1232.00 1612.00 1622.00 160
cascas2.00 1492.00 1502.00 1552.00 1632.00 1632.00 1612.00 1662.00 1622.00 1612.00 1592.00 1612.00 1622.00 1602.00 1602.00 160
UnsupCasMVSNet_eth5.90 1585.90 1595.90 1645.90 1725.90 1725.90 1715.90 1785.90 1725.90 1705.90 1685.90 1725.90 1715.90 1695.90 1725.90 172
UnsupCasMVSNet_bld5.90 1585.90 1595.90 1645.90 1725.90 1725.90 1715.90 1785.90 1725.90 1705.90 1685.90 1725.90 1715.90 1695.90 1725.90 172
WTY-MVS5.90 1585.90 1595.90 1645.90 1725.90 1725.90 1715.90 1785.90 1725.90 1705.90 1685.90 1725.90 1715.90 1695.90 1725.90 172
HY-MVS5.90 15.90 1585.90 1595.90 1645.90 1725.90 1725.90 1715.90 1785.90 1725.90 1705.90 1685.90 1725.90 1715.90 1695.90 1725.90 172
sss5.90 1585.90 1595.90 1645.90 1725.90 1725.90 1715.90 1785.90 1725.90 1705.90 1685.90 1725.90 1715.90 1695.90 1725.90 172
Test_1112_low_res5.90 1585.90 1595.90 1645.90 1725.90 1725.90 1715.90 1785.90 1725.90 1705.90 1685.90 1725.90 1715.90 1695.90 1725.90 172
1112_ss5.90 1585.90 1595.90 1645.90 1725.90 1725.90 1715.90 1785.90 1725.90 1705.90 1685.90 1725.90 1715.90 1695.90 1725.90 172
ab-mvs-re5.90 1585.90 1595.90 1645.90 1725.90 1725.90 1715.90 1785.90 1725.90 1705.90 1685.90 1725.90 1715.90 1695.90 1725.90 172
ab-mvs5.90 1585.90 1595.90 1645.90 1725.90 1725.90 1715.90 1785.90 1725.90 1705.90 1685.90 1725.90 1715.90 1695.90 1725.90 172
CDPH-MVS6.66 1676.66 1686.66 1736.66 1816.66 1816.66 1806.66 1876.66 1816.66 1796.66 1776.66 1816.66 1806.66 1786.66 1816.66 181
MDTV_nov1_ep13_2view9.99 1839.99 1819.99 1829.99 1819.99 1839.99 1799.99 182
MDTV_nov1_ep139.99 1699.99 1829.99 1839.99 1819.99 1899.99 1829.99 1819.99 1789.99 1839.99 1829.99 1799.99 183
xiu_mvs_v1_base_debu10.28 16810.28 17010.28 17510.28 18310.28 18510.28 18310.28 19010.28 18410.28 18310.28 17910.28 18510.28 18310.28 18110.28 18410.28 183
xiu_mvs_v2_base10.28 16810.28 17010.28 17510.28 18310.28 18510.28 18310.28 19010.28 18410.28 18310.28 17910.28 18510.28 18310.28 18110.28 18410.28 183
xiu_mvs_v1_base10.28 16810.28 17010.28 17510.28 18310.28 18510.28 18310.28 19010.28 18410.28 18310.28 17910.28 18510.28 18310.28 18110.28 18410.28 183
xiu_mvs_v1_base_debi10.28 16810.28 17010.28 17510.28 18310.28 18510.28 18310.28 19010.28 18410.28 18310.28 17910.28 18510.28 18310.28 18110.28 18410.28 183
cdsmvs_eth3d_5k10.28 16810.28 17010.28 17510.28 18310.28 18510.28 18310.28 19010.28 18410.28 18310.28 17910.28 18510.28 18310.28 18110.28 18410.28 183
pcd_1.5k_mvsjas10.28 16810.28 17010.28 17510.28 18310.28 18510.28 18310.28 19010.28 18410.28 18310.28 17910.28 18510.28 18310.28 18110.28 18410.28 183
PS-MVSNAJss10.28 16810.28 17010.28 17510.28 18310.28 18510.28 18310.28 19010.28 18410.28 18310.28 17910.28 18510.28 18310.28 18110.28 18410.28 183
PS-MVSNAJ10.28 16810.28 17010.28 17510.28 18310.28 18510.28 18310.28 19010.28 18410.28 18310.28 17910.28 18510.28 18310.28 18110.28 18410.28 183
jajsoiax10.28 16810.28 17010.28 17510.28 18310.28 18510.28 18310.28 19010.28 18410.28 18310.28 17910.28 18510.28 18310.28 18110.28 18410.28 183
mvs_tets10.28 16810.28 17010.28 17510.28 18310.28 18510.28 18310.28 19010.28 18410.28 18310.28 17910.28 18510.28 18310.28 18110.28 18410.28 183
SR-MVS-dyc-post11.55 17811.55 18011.55 18711.55 19411.55 19611.55 19311.55 20211.55 19411.55 19411.55 18911.55 19611.55 19311.55 19111.55 19411.55 193
XXY-MVS15.00 17915.00 18115.00 18815.00 19515.00 19815.00 19415.00 20415.00 19515.00 19615.00 19015.00 20015.00 19515.00 19315.00 19615.00 195
GeoE19.41 18122.09 18311.37 18617.21 19711.30 19550.50 1994.30 17733.60 19611.70 19544.50 1967.30 18218.90 19622.60 1947.10 1823.90 169
test_method18.29 18020.89 18210.50 18515.00 19513.00 19755.00 2003.00 17634.00 19711.50 19332.50 1915.00 17113.50 19427.00 1955.00 1715.00 171
BH-w/o40.00 18240.00 18440.00 19040.00 19840.00 19940.00 19540.00 22340.00 19840.00 19840.00 19240.00 21740.00 19840.00 19640.00 21040.00 206
BH-untuned40.00 18240.00 18440.00 19040.00 19840.00 19940.00 19540.00 22340.00 19840.00 19840.00 19240.00 21740.00 19840.00 19640.00 21040.00 206
BH-RMVSNet40.00 18240.00 18440.00 19040.00 19840.00 19940.00 19540.00 22340.00 19840.00 19840.00 19240.00 21740.00 19840.00 19640.00 21040.00 206
TR-MVS40.00 18240.00 18440.00 19040.00 19840.00 19940.00 19540.00 22340.00 19840.00 19840.00 19240.00 21740.00 19840.00 19640.00 21040.00 206
GBi-Net44.67 18649.24 18830.96 18947.53 20247.57 203126.09 2018.00 18876.99 20226.09 19773.50 19811.27 19530.55 19761.12 20012.58 19514.75 194
new_pmnet88.14 18898.62 18956.70 19498.14 20956.07 204246.79 20315.37 205148.06 20350.77 202143.13 19923.35 20162.65 20293.26 20168.71 22051.38 216
N_pmnet88.14 18898.62 18956.70 19498.14 20956.07 204246.79 20315.37 205148.06 20350.77 202143.13 19923.35 20162.65 20293.26 20168.71 22051.38 216
CANet110.62 190124.04 19270.34 19782.03 20674.27 209325.54 20925.25 208207.16 20569.28 207194.38 20227.53 20395.79 211147.76 20537.43 20040.97 210
CANet_DTU110.62 190124.04 19270.34 19782.03 20674.27 209325.54 20925.25 208207.16 20569.28 207194.38 20227.53 20395.79 211147.76 20537.43 20040.97 210
UGNet110.62 190124.04 19270.34 19782.03 20674.27 209325.54 20925.25 208207.16 20569.28 207194.38 20227.53 20395.79 211147.76 20537.43 20040.97 210
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
MTAPA833442.10 3401111233.77 34667.09 19665.59 20364.81 206284.50 20510000000.00 378219.97 20859.62 204229.89 21212.72 197103.00 217203.67 21827.93 19733.46 196
MP-MVS-pluss833433.63 3391111219.60 34575.70 20074.28 20473.29 207284.50 20511.35 200238.58 20965.86 205255.35 21714.55 198115.69 21910000000.00 37231.94 19838.12 204
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 193133.18 19575.70 20074.28 20473.29 207284.50 20511.35 200238.58 20965.86 205255.35 21714.55 198115.69 219222.18 21931.94 19838.12 204
PVSNet_Blended_VisFu136.90 202155.40 20481.40 209111.00 21996.20 213407.00 21925.90 211251.60 21185.10 217240.50 21337.00 21399.90 214199.80 21540.70 21448.10 213
PVSNet_BlendedMVS136.90 202155.40 20481.40 209111.00 21996.20 213407.00 21925.90 211251.60 21185.10 217240.50 21337.00 21399.90 214199.80 21540.70 21448.10 213
PVSNet_Blended136.90 202155.40 20481.40 209111.00 21996.20 213407.00 21925.90 211251.60 21185.10 217240.50 21337.00 21399.90 214199.80 21540.70 21448.10 213
FMVSNet5124.76 194140.93 19676.26 202107.44 212100.17 216329.88 21227.12 214259.44 21474.30 210204.34 20530.74 20692.41 204196.98 20838.15 20336.19 197
test1124.76 194140.93 19676.26 202107.44 212100.17 216329.88 21227.12 214259.44 21474.30 210204.34 20530.74 20692.41 204196.98 20838.15 20336.19 197
FMVSNet3124.76 194140.93 19676.26 202107.44 212100.17 216329.88 21227.12 214259.44 21474.30 210204.34 20530.74 20692.41 204196.98 20838.15 20336.19 197
FMVSNet2124.76 194140.93 19676.26 202107.44 212100.17 216329.88 21227.12 214259.44 21474.30 210204.34 20530.74 20692.41 204196.98 20838.15 20336.19 197
FMVSNet1124.76 194140.93 19676.26 202107.44 212100.17 216329.88 21227.12 214259.44 21474.30 210204.34 20530.74 20692.41 204196.98 20838.15 20336.19 197
MIMVSNet1124.76 194140.93 19676.26 202107.44 212100.17 216329.88 21227.12 214259.44 21474.30 210204.34 20530.74 20692.41 204196.98 20838.15 20336.19 197
MIMVSNet124.76 194140.93 19676.26 202107.44 212100.17 216329.88 21227.12 214259.44 21474.30 210204.34 20530.74 20692.41 204196.98 20838.15 20336.19 197
DSMNet-mixed131.33 201143.00 20396.33 21299.00 21181.00 212201.00 20245.00 228335.00 22199.00 220251.00 21638.00 216110.00 218120.00 20499.00 22698.00 222
BP-MVS1202.65 205232.15 207114.16 213183.40 223141.78 223655.87 22724.69 207372.56 222109.76 221356.89 21947.15 221139.51 221284.15 22154.86 21761.20 218
FE-MVS207.10 206234.26 208125.61 214180.34 222153.23 224635.64 22630.05 221378.38 223127.68 222377.08 22048.95 222154.43 222266.67 22063.56 21869.18 219
GDP-MVS219.79 207249.11 209131.85 215187.15 224155.97 225667.31 22830.57 222398.95 224131.26 223387.86 22158.83 224164.55 223315.00 22265.03 21975.04 220
DP-MVS264.78 209296.02 211171.04 218191.70 225183.96 227827.10 23578.36 239438.24 225176.64 226435.12 22265.04 226230.52 228334.02 224117.96 23498.64 223
FA-MVS(test-final)261.15 208293.29 210164.72 216236.23 227199.99 230800.05 23442.35 227475.87 226155.47 224470.67 22358.49 223205.24 225319.44 22381.03 22388.93 221
dp87.20 187113.80 1917.42 17410.50 1938.88 182298.82 2082.70 175510.35 2277.79 180172.93 2013.37 1709.16 18114.00 1923.71 1704.23 170
kuosan267.89 210301.05 212168.41 217244.05 228177.28 226667.98 22965.76 230533.41 228157.79 225492.01 224104.69 239226.72 226364.47 22679.31 222101.21 224
gm-plane-assit611.29 272600.33 280579.21 229567.40 225531.67 260503.93 236
gg-mvs-nofinetune594.69 238605.37 240562.67 268617.29 276500.33 266772.30 230413.12 311579.21 229552.71 275567.40 225662.54 330531.67 260503.93 236779.80 308656.02 292
CR-MVSNet612.36 240617.81 243596.01 271611.29 272600.33 280790.30 231513.12 326579.21 229552.71 275567.40 225662.54 330531.67 260503.93 236779.80 308656.02 292
PatchT856.34 262860.99 255842.38 2871290.90 307880.90 298790.30 2311267.30 358579.21 229923.90 294567.40 225662.54 330990.23 291887.56 268779.80 308656.02 292
SSC-MVS320.23 212364.09 214188.66 219260.78 230193.84 228975.93 24373.11 235596.72 233185.29 227589.02 23074.47 228246.01 229427.42 23094.06 225126.12 227
WB-MVS316.44 211357.41 213193.51 220257.06 229213.32 233914.45 23749.03 229600.77 234186.42 228634.00 23675.03 229251.35 230411.39 22788.55 224115.87 226
RE-MVS-def610.10 241610.10 270610.10 283610.10 224610.10 335610.10 235610.10 282610.10 231610.10 318610.10 250610.10 291610.10 289
SR-MVS610.10 239610.10 241610.10 273610.10 270610.10 283610.10 224610.10 335610.10 235610.10 282610.10 231610.10 318610.10 276610.10 250610.10 291610.10 289
dongtai360.45 216401.64 218236.89 226303.10 237262.16 241963.12 24072.78 233622.82 237199.37 230708.06 239130.96 247310.90 236506.46 240108.11 227137.60 234
UWE-MVS387.98 219438.66 222235.93 224349.32 243257.61 2391081.50 25182.45 243637.74 238257.12 237738.54 241134.25 248308.00 234531.93 243135.11 237142.17 235
testing91347.05 214389.92 216218.43 223275.92 234241.43 235923.71 23971.70 231667.65 239217.04 233629.00 234113.33 243281.39 233495.50 233115.45 230132.47 230
testing11348.86 215393.09 217216.15 222275.24 233239.53 234915.55 23872.35 232679.89 240215.75 232633.79 235118.08 244276.62 232509.56 241117.61 233132.30 229
UWE-MVS-28327.73 213369.67 215201.90 221281.09 236210.75 231832.98 23674.67 238680.98 241198.23 229613.42 233112.56 242259.80 231418.76 228114.35 228135.15 233
RPSCF394.81 221445.63 223242.35 227276.55 235253.63 2371207.27 25990.69 248715.56 242241.57 236684.87 237111.96 241320.02 238548.38 245133.81 236153.39 239
testing3418.10 224469.06 226265.23 234335.69 241290.63 2441240.88 26093.72 249717.99 243215.31 231811.97 252232.41 286358.74 242458.67 231114.88 229146.32 236
testing99408.82 223462.15 225248.86 230322.45 240269.42 2421118.93 25473.26 236719.36 244262.28 238772.10 243150.98 254327.08 239601.98 249137.99 238150.07 237
EG-PatchMatch MVS437.03 227493.12 231268.77 235264.80 232260.20 2401491.80 26698.00 253723.20 245238.80 235722.40 24063.10 225382.00 248629.00 253207.00 260164.10 243
Syy-MVS370.76 217415.60 220236.25 225310.54 238210.76 232965.13 24198.58 254746.06 246266.26 240788.85 24691.37 233364.76 244357.17 225116.42 231133.22 231
myMVS_eth3d390.90 220437.44 221251.28 231310.54 238255.86 238965.13 24198.58 254746.06 246266.26 240788.85 246154.95 255364.76 244490.19 232116.42 231133.22 231
tmp_tt371.08 218412.78 219246.00 229231.00 226197.00 2291293.00 262376.00 303756.00 248609.00 28171.00 197106.00 240195.00 224102.00 203171.00 251346.00 277
WB-MVSnew404.84 222458.00 224245.36 228374.70 247320.27 2491193.74 25872.90 234773.77 249238.30 234688.22 23890.05 232308.59 235532.76 244157.54 245107.21 225
DP-MVS Recon516.25 237581.17 238321.48 246361.02 244429.00 2621995.36 27478.48 240796.20 250283.32 246796.02 24896.78 234382.98 249636.72 255186.66 257152.46 238
MVP-Stereo473.58 231533.67 233293.33 238376.00 248318.00 2461461.00 26496.00 250835.00 251290.00 247804.00 24997.00 235383.00 250688.00 261156.00 242179.00 245
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 231533.67 233293.33 238376.00 248318.00 2461461.00 26496.00 250835.00 251290.00 247804.00 24997.00 235383.00 250688.00 261156.00 242179.00 245
testing222430.52 226487.50 230259.56 233379.87 251282.69 2431138.34 25581.30 241880.86 253281.58 243834.27 254135.83 250333.22 240514.90 242140.56 239162.76 240
ADS-MVSNet2443.33 228482.84 228324.79 247434.94 260387.73 2581110.57 25287.69 245887.02 254282.92 244779.29 24498.57 237422.76 256502.40 234162.19 249163.87 241
ADS-MVSNet443.33 228482.84 228324.79 247434.94 260387.73 2581110.57 25287.69 245887.02 254282.92 244779.29 24498.57 237422.76 256502.40 234162.19 249163.87 241
ETVMVS443.50 230498.07 232279.78 236378.05 250321.57 2501163.68 25687.12 244897.50 256269.81 242822.83 253141.20 253334.53 241568.21 248154.21 240183.26 247
myMVS_eth3d28418.40 225473.07 227254.39 232261.18 231313.04 2451172.79 25774.16 237929.18 257264.68 239745.72 242139.03 252318.91 237549.18 246121.71 235131.21 228
testing3-2489.51 233555.88 236290.42 237362.21 245319.27 2481424.84 26388.81 247964.80 258309.62 250879.13 256174.38 262363.98 243643.82 257155.29 241188.01 248
DELS-MVS514.57 236587.73 239295.12 240343.03 242328.09 2531540.48 268116.22 262988.59 259325.44 254906.22 257119.86 246365.72 246788.60 265161.09 248191.55 251
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
tpmvs501.65 235567.42 237304.33 241395.39 255356.32 2551512.04 267216.53 290994.15 260350.16 256804.16 251119.38 245380.98 247555.14 247159.87 247175.69 244
OurMVSNet-221017-0999.00 268999.00 267999.00 288999.00 297999.00 302999.00 244999.00 351999.00 261999.00 297999.00 260999.00 343999.00 293999.00 273999.00 327999.00 324
EPMVS999.00 268999.00 267999.00 288999.00 297999.00 302999.00 244999.00 351999.00 261999.00 297999.00 260999.00 343999.00 293999.00 273999.00 327999.00 324
uanet_test1000.00 2701000.00 2691000.00 2911000.00 3001000.00 3051000.00 2471000.00 3541000.00 2631000.00 3001000.00 2631000.00 3461000.00 2961000.00 2761000.00 3301000.00 327
sosnet1000.00 2701000.00 2691000.00 2911000.00 3001000.00 3051000.00 2471000.00 3541000.00 2631000.00 3001000.00 2631000.00 3461000.00 2961000.00 2761000.00 3301000.00 327
USDC1000.00 2701000.00 2691000.00 2911000.00 3001000.00 3051000.00 2471000.00 3541000.00 2631000.00 3001000.00 2631000.00 3461000.00 2961000.00 2761000.00 3301000.00 327
TinyColmap1000.00 2701000.00 2691000.00 2911000.00 3001000.00 3051000.00 2471000.00 3541000.00 2631000.00 3001000.00 2631000.00 3461000.00 2961000.00 2761000.00 3301000.00 327
PatchmatchNetpermissive492.52 234551.22 235316.40 245400.20 256357.90 2561277.10 261115.80 2611034.60 267315.90 251874.00 255155.10 256402.20 253629.50 254158.80 246189.10 249
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
ACMH+729.97 2661.38 244754.00 246383.51 250368.96 246376.38 2572483.74 28882.42 2421089.25 268333.39 2551219.68 27366.53 227573.60 273957.86 271184.14 256200.56 254
IterMVS615.05 241691.66 244385.23 251516.40 263454.80 2631863.80 272102.10 2581142.20 269364.10 2571093.20 271135.00 249480.40 259826.90 266181.20 254220.50 255
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 242700.96 245362.78 249426.10 259409.25 2601822.69 271124.42 2731186.23 270366.85 2581079.42 269190.60 274451.78 258930.72 270181.59 255227.30 256
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
Gipumacopyleft689.75 247767.00 247458.00 260613.00 275549.00 2781943.00 273187.00 2871230.00 271518.00 2721092.00 270203.00 280564.00 265892.00 269225.00 270261.00 264
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
JIA-IIPM804.30 259835.64 252710.26 282885.90 292895.90 300455.98 222668.73 3401297.17 2721002.26 3041001.67 267655.98 328756.98 283667.90 258885.21 320477.90 286
Patchmtry1090.75 2751198.88 277766.38 2861290.90 307485.90 2642423.98 2861267.30 3581297.17 272923.90 294923.40 2581215.54 351990.23 291667.90 258779.80 308823.02 306
RPMNet787.26 258829.13 251661.63 277885.90 292895.90 300455.98 222610.10 3351297.17 2721002.26 3041001.67 267655.98 328611.10 277667.90 258885.21 320477.90 286
IterMVS-LS758.94 248856.56 253466.10 261606.60 268546.80 2762309.90 277122.20 2721402.80 275463.50 2621348.20 275192.60 275574.60 2741028.60 281234.60 272276.90 266
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
SixPastTwentyTwo773.62 250869.37 256486.35 263603.45 267547.15 2772532.14 289106.92 2601434.95 276428.08 2601360.56 276165.15 260628.96 279984.09 272209.01 262282.94 267
new-patchmatchnet766.12 249859.03 254487.38 264595.68 265536.14 2682346.27 278142.51 2781488.08 277422.43 2591361.32 277163.65 259628.60 2781003.74 280207.61 261297.41 270
mvs_anonymous774.90 251882.28 257452.77 253636.50 277537.20 2692348.80 279120.30 2651504.30 278474.40 2631371.10 278186.90 265564.70 2661078.90 283219.30 263256.40 257
casdiffmvspermissive774.90 251882.28 257452.77 253636.50 277537.20 2692348.80 279120.30 2651504.30 278474.40 2631371.10 278186.90 265564.70 2661078.90 283219.30 263256.40 257
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 251882.28 257452.77 253636.50 277537.20 2692348.80 279120.30 2651504.30 278474.40 2631371.10 278186.90 265564.70 2661078.90 283219.30 263256.40 257
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 251882.28 257452.77 253636.50 277537.20 2692348.80 279120.30 2651504.30 278474.40 2631371.10 278186.90 265564.70 2661078.90 283219.30 263256.40 257
baseline1774.90 251882.28 257452.77 253636.50 277537.20 2692348.80 279120.30 2651504.30 278474.40 2631371.10 278186.90 265564.70 2661078.90 283219.30 263256.40 257
casdiffmvs_mvgpermissive774.90 251882.28 257452.77 253636.50 277537.20 2692348.80 279120.30 2651504.30 278474.40 2631371.10 278186.90 265564.70 2661078.90 283219.30 263256.40 257
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 251882.28 257452.77 253636.50 277537.20 2692348.80 279120.30 2651504.30 278474.40 2631371.10 278186.90 265564.70 2661078.90 283219.30 263256.40 257
K. test v3877.74 263980.16 266570.46 2701316.85 309813.15 2952565.52 290103.78 2591509.49 285548.33 2741258.90 274219.93 285587.82 2751102.37 290196.30 258310.42 272
PVSNet1207.94 6829.56 261937.18 264506.69 265645.55 284585.72 2792477.98 287130.52 2741578.29 286509.50 2711460.01 285194.90 276637.19 2801170.78 291267.07 276297.17 269
ACMH993.80 5967.92 2661106.11 276553.33 267494.00 262534.00 2673581.00 294136.00 2751585.00 287478.00 2701871.00 29390.00 230839.00 2851460.00 294260.00 273287.00 268
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PMVScopyleft863.65 3957.08 2651054.11 274666.00 279401.00 257495.00 2653790.00 296279.00 2921607.00 288521.00 2731745.00 29190.00 2301105.00 302639.00 256415.00 287398.00 284
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
MVSTER890.06 2641005.91 273542.52 266736.13 289653.90 2872616.56 291145.22 2801692.10 289555.69 2781554.72 289266.25 287660.02 2811219.66 292266.84 275313.64 273
WBMVS655.88 243770.84 248310.98 244391.79 254353.00 2542280.68 27699.17 2571776.79 290301.20 2491123.23 272187.34 272390.28 252620.39 252156.98 244189.66 250
CSCG826.03 260963.29 265414.24 252421.52 258426.11 2612230.35 275179.52 2861827.44 291733.43 292933.12 259281.25 288545.23 2641800.35 300262.64 274271.38 265
ACMP1246.57 71086.24 2741235.17 278639.45 274596.53 266639.91 2853904.24 297152.04 2811851.54 292566.58 2791997.95 295138.50 251938.30 2891605.46 296303.70 282340.14 275
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
ACMM1311.08 81165.06 2781332.72 281662.07 278584.90 264715.99 2904373.59 301153.99 2831880.27 293709.02 2892316.97 297188.63 273939.89 2901484.30 295302.78 281330.34 274
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MG-MVS1256.50 2801432.00 283730.00 283610.00 269760.00 2924720.00 302169.00 2841920.00 294723.00 2912510.00 303201.00 2781050.00 3001645.00 298390.00 286380.00 281
SSC-MVS3.2667.82 245787.71 249308.16 242385.94 252327.65 2511718.51 269117.00 2631942.46 295317.12 2521488.73 286183.89 263404.82 254763.70 263172.02 252192.01 252
UBG667.82 245787.71 249308.16 242385.94 252327.65 2511718.51 269117.00 2631942.46 295317.12 2521488.73 286183.89 263404.82 254763.70 263172.02 252192.01 252
test_04021110.00 2761260.00 279660.00 276900.00 295780.00 2943300.00 293210.00 2892040.00 297690.00 2871950.00 294300.00 291810.00 2841620.00 297330.00 283390.00 283
PVSNet_01661.03 9968.54 2671066.82 275673.70 280706.94 287695.69 2882669.02 292153.52 2822108.17 298605.54 2801679.14 290213.26 284886.75 2881236.76 293229.01 271438.67 285
MVS_111021_LR1136.45 2771298.72 280649.64 275756.17 290726.26 2913785.94 295138.15 2772190.64 299629.63 2852064.39 296165.45 261874.83 2871678.43 299279.70 277347.82 278
MSLP-MVS++1242.93 2791411.08 282738.48 284712.71 288712.68 2894168.17 299136.50 2762276.40 300613.28 2842368.60 300161.61 2581130.38 3031964.54 303297.88 279372.39 280
DeepC-MVS_fast2190.19 121535.59 2841886.82 288481.89 262847.73 291830.16 2967943.84 321189.23 2882398.83 301691.73 2882341.13 298209.16 282230.25 2271999.25 304360.46 284385.25 282
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
OpenMVS_ROBcopyleft1936.51 101959.51 2872224.88 2911163.39 2981253.91 3061434.22 3137065.71 311272.76 2912472.29 3021647.54 3363538.72 308200.37 2771496.48 3072575.17 309997.45 326559.48 288
ACMMPR1296.60 2811480.82 284743.96 285899.25 294763.47 2934305.47 300143.90 2792530.94 303683.99 2862346.34 299201.65 2791098.25 3011920.59 302295.21 278370.16 279
TSAR-MVS + GP.1386.84 2821622.84 286678.81 281952.13 296840.17 2975358.21 305170.75 2852650.47 304713.54 2902394.28 301209.42 283855.56 2861854.36 301302.42 280340.71 276
COLMAP_ROBcopyleft2144.59 111658.33 2851869.33 2871025.33 2951030.00 3041023.00 3095311.00 304359.00 3013044.00 305937.00 2962892.00 304332.00 2951440.00 3062312.00 306607.00 290613.00 291
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
FPMVS1407.00 2831495.59 2851141.23 296648.01 285893.85 2994124.00 298503.81 3253219.04 306742.72 2932498.84 302157.98 2571727.83 309832.93 267732.98 307802.00 301
CMPMVSbinary2623.62 151983.08 2882156.14 2901463.89 3091414.80 3111517.00 3155239.20 303867.40 3453310.30 3071128.70 3083489.90 307366.75 3002030.20 3202427.60 3071160.60 339844.46 309
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
F-COLMAP1878.17 2862113.11 2891173.33 2991231.00 3051174.00 3106297.00 307392.00 3063356.00 3081087.00 3063082.00 305361.00 2991670.00 3082523.00 308689.00 297676.00 296
OpenMVScopyleft2352.88 132263.08 2912530.89 2941459.67 3081767.00 3221591.00 3187932.00 320399.00 3073643.00 3091176.00 3093569.00 309297.00 2901927.00 3163302.00 314693.00 302861.00 310
ZD-MVS1584.00 3121821.00 335378.00 3043721.00 3101231.00 3111833.00 292321.00 2941224.00 3042103.00 305692.00 301
MVS-HIRNet2125.39 2892452.68 2921143.53 2972938.33 3521446.92 3146083.19 306391.74 3053801.71 3111202.10 3103439.72 306492.73 3091304.35 3053048.25 313676.32 296679.32 297
PLCcopyleft2858.82 162192.92 2902474.00 2931349.67 3011407.00 3101356.00 3127164.00 312475.00 3183970.00 3121237.00 3133765.00 311451.00 3061891.00 3143006.00 312791.00 313802.00 301
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
PCF-MVS4335.85 202272.23 2922597.03 2951297.84 3001701.20 3141332.37 3118105.11 322451.45 3144031.84 3131099.10 3073966.50 312467.45 3071734.05 3102701.68 311848.94 317827.11 307
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
EGC-MVSNET2819.75 3023096.89 3051988.33 3233105.00 3532241.00 3439480.00 332640.00 3394209.00 3141583.00 3294740.00 320547.00 3152797.00 3362644.00 310924.00 323927.00 317
CHOSEN 280x4202340.81 2932643.03 2961434.14 3022025.55 3311629.36 3226542.40 308412.49 3084219.70 3151547.02 3244328.52 314650.74 3251798.26 3113333.17 315727.72 304874.79 311
CHOSEN 1792x26882340.81 2932643.03 2961434.14 3022025.55 3311629.36 3226542.40 308412.49 3084219.70 3151547.02 3244328.52 314650.74 3251798.26 3113333.17 315727.72 304874.79 311
HyFIR lowres test2340.81 2932643.03 2961434.14 3022025.55 3311629.36 3226542.40 308412.49 3084219.70 3151547.02 3244328.52 314650.74 3251798.26 3113333.17 315727.72 304874.79 311
3Dnovator2482.06 142531.17 2962839.56 2991606.00 3101732.00 3181557.00 3178375.00 324483.00 3194370.00 3181371.00 3194200.00 313350.00 2972207.00 3213877.00 321798.00 3141054.00 331
tpmrst2557.50 2972847.12 3001688.66 3131784.08 3231778.25 3327445.50 318342.14 2984471.54 3191534.55 3234382.10 317530.10 3132361.21 3244142.81 325991.22 325926.51 316
DeepPCF-MVS3452.42 182670.71 3003021.57 3021618.12 3112377.67 3381751.39 3318915.70 327567.44 3334569.74 3201236.84 3124615.63 318513.23 3102291.32 3223515.48 318882.39 319811.66 303
DeepC-MVS3917.13 193155.06 3063601.83 3091814.72 3192515.52 3411941.53 33610432.50 342589.42 3344789.45 3211298.65 3157677.31 343578.35 3172589.53 3283611.78 320923.52 322913.10 315
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
AdaColmapbinary2570.77 2982948.61 3011437.24 3051873.64 3241526.60 3167819.77 319373.97 3024970.45 3221479.29 3214648.46 319525.80 3121904.97 3154150.42 326695.69 303880.14 314
LF4IMVS2699.50 3013049.67 3031649.00 3121755.00 3191689.00 3268330.00 323464.00 3164997.00 3231528.00 3224763.00 321568.00 3162296.00 3234215.00 327827.00 316962.00 321
test_0728_THIRD5016.02 3241363.85 3164894.28 322387.23 3012023.43 3173973.88 322620.04 293732.56 298
test07261725.60 3151598.35 3199203.30 328315.86 2955016.02 3241363.85 3164894.28 322387.23 301
SD-MVS2654.53 2993055.56 3041451.45 3061725.60 3151598.35 3199203.30 328315.86 2955016.02 3241363.85 3164894.28 322387.23 3012023.43 3173973.88 322620.04 293732.56 298
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
SteuartSystems-ACMMP2891.50 3043284.78 3071711.67 3141954.00 3251655.00 32510117.00 341445.00 3135102.00 3271375.00 3205126.00 326351.00 2982638.00 3344402.00 329691.00 300842.00 308
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 3053537.00 3081975.67 3212310.00 3362005.00 34010100.00 340626.00 3385753.00 3281803.00 3395179.00 327487.00 3082622.00 3324550.00 3301025.00 3341300.00 338
ITE_SJBPF2014.00 3251998.00 3261992.00 339701.00 3415989.00 3291812.00 3403612.00 310650.00 3242852.00 3374601.00 3311195.00 3401198.00 337
tpm23617.85 3114007.23 3132449.73 3312012.71 3271698.05 3277351.19 314869.29 3466132.06 3301588.28 3308007.42 3461281.09 3523888.11 3507472.04 3511351.00 3411763.02 347
tpm cat13617.85 3114007.23 3132449.73 3312012.71 3271698.05 3277351.19 314869.29 3466132.06 3301588.28 3308007.42 3461281.09 3523888.11 3507472.04 3511351.00 3411763.02 347
CostFormer3617.85 3114007.23 3132449.73 3312012.71 3271698.05 3277351.19 314869.29 3466132.06 3301588.28 3308007.42 3461281.09 3523888.11 3507472.04 3511351.00 3411763.02 347
tpm3617.85 3114007.23 3132449.73 3312012.71 3271698.05 3277351.19 314869.29 3466132.06 3301588.28 3308007.42 3461281.09 3523888.11 3507472.04 3511351.00 3411763.02 347
TAPA-MVS6309.84 213374.90 3093806.99 3122078.63 3262535.47 3422499.25 3518816.16 326456.05 3156255.60 3341664.52 3376704.88 333629.95 3232768.38 3356343.93 347856.35 318968.25 322
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
DPM-MVS3268.00 3073762.89 3101783.33 3171756.00 3201806.00 33312319.00 344307.00 2936319.00 3351557.00 3275763.00 328302.00 2922609.00 3305061.00 333482.00 288935.00 318
OPM-MVS3268.00 3073762.89 3101783.33 3171756.00 3201806.00 33312319.00 344307.00 2936319.00 3351557.00 3275763.00 328302.00 2922609.00 3305061.00 333482.00 288935.00 318
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
Vis-MVSNetpermissive2877.42 3033170.00 3061999.67 3241673.00 3132042.00 3418593.00 325474.00 3176452.00 3371268.00 3145125.00 325339.00 2963004.00 3384222.00 328384.00 285953.00 320
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
MVS_111021_HR3742.80 3154330.34 3181980.20 3222484.31 3402259.52 34414973.80 351515.90 3326500.13 3381949.21 3416146.89 330535.66 3142593.66 3294880.76 332986.37 3241087.43 332
API-MVS4380.83 3224906.56 3242803.67 3383844.00 3553116.00 35713454.00 347901.00 3506511.00 3392794.00 3527365.00 339754.00 3343634.00 3486622.00 3481914.00 3521661.00 342
MAR-MVS3973.16 3164387.92 3192728.86 3373345.27 3543341.39 35811403.90 343798.76 3436555.62 3402569.29 3516514.86 332834.97 3373237.43 3475891.08 3381577.54 3461607.76 339
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
TSAR-MVS + MP.3528.01 3104065.89 3171914.35 3202349.10 3372141.30 34212362.70 346417.60 3126717.80 3411759.40 3386497.50 331518.18 3112629.38 3335164.32 335806.40 315972.38 323
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
IU-MVS2725.60 3482598.35 352515.86 3287016.02 3422363.85 3465973.88 3391620.04 3471732.56 343
test_241102_TWO515.86 3287016.02 3422363.85 3466894.28 334887.23 3383023.43 3395973.88 3391620.04 3471732.56 343
test_241102_ONE2725.60 3482598.35 352515.86 3287016.02 3422363.85 3466894.28 334887.23 3383023.43 339
MSP-MVS4296.20 3214911.12 3252451.45 3352725.60 3482598.35 35216203.30 352515.86 3287016.02 3422363.85 3466894.28 334887.23 3383023.43 3395973.88 3391620.04 3471732.56 343
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
DVP-MVS++3981.10 3174731.32 3221730.42 3152191.51 3341949.98 33716473.90 353355.33 2997172.90 3461622.98 3347879.79 344434.33 3042428.11 3265762.12 336689.04 298813.18 304
DVP-MVScopyleft3981.10 3174731.32 3221730.42 3152191.51 3341949.98 33716473.90 353355.33 2997172.90 3461622.98 3347879.79 344434.33 3042428.11 3265762.12 336689.04 298813.18 304
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
GST-MVS4000.00 3194533.33 3202400.00 3302400.00 3392400.00 3457200.00 3132400.00 3627200.00 3482400.00 3507200.00 3382400.00 3562400.00 3257200.00 3492400.00 3532400.00 352
FOURS12643.17 3432465.14 34613996.40 348493.26 3207619.38 3492107.24 342
PC_three_14527619.38 3492107.24 3427416.93 340610.24 3203088.29 3436075.14 3431078.39 3351159.26 333
test_one_06012643.17 3432465.14 346493.26 3207619.38 3492107.24 3427416.93 340610.24 320
SED-MVS4062.74 3204671.13 3212237.56 3272643.17 3432465.14 34613996.40 348493.26 3207619.38 3492107.24 3427416.93 340610.24 3203088.29 3436075.14 3431078.39 3351159.26 333
OMC-MVS5022.26 3235748.82 3262842.58 3394905.27 3573101.27 35614933.60 350812.24 3449278.40 3532959.29 3538800.17 3501092.24 3503806.30 3497568.54 3551389.60 3451620.18 341
ZNCC-MVS9999.00 3269999.00 3299999.00 3439999.00 3619999.00 3639999.00 3339999.00 3669999.00 3549999.00 3589999.00 3519999.00 3599999.00 3569999.00 3569999.00 3579999.00 355
patch_mono-210000.00 32710000.00 33010000.00 34410000.00 36210000.00 36410000.00 33410000.00 36710000.00 35510000.00 35910000.00 35210000.00 36010000.00 35710000.00 35710000.00 35810000.00 356
dcpmvs_210000.00 32710000.00 33010000.00 34410000.00 36210000.00 36410000.00 33410000.00 36710000.00 35510000.00 35910000.00 35210000.00 36010000.00 35710000.00 35710000.00 35810000.00 356
DCPMVS10000.00 32710000.00 33010000.00 34410000.00 36210000.00 36410000.00 33410000.00 36710000.00 35510000.00 35910000.00 35210000.00 36010000.00 35710000.00 35710000.00 35810000.00 356
UA-Net10000.00 32710000.00 33010000.00 34410000.00 36210000.00 36410000.00 33410000.00 36710000.00 35510000.00 35910000.00 35210000.00 36010000.00 35710000.00 35710000.00 35810000.00 356
uncertanet10000.00 32710000.00 33010000.00 34410000.00 36210000.00 36410000.00 33410000.00 36710000.00 35510000.00 35910000.00 35210000.00 36010000.00 35710000.00 35710000.00 35810000.00 356
uanet10000.00 32710000.00 33010000.00 34410000.00 36210000.00 36410000.00 33410000.00 36710000.00 35510000.00 35910000.00 35210000.00 36010000.00 35710000.00 35710000.00 35810000.00 356
MVEpermissive10021.00 2210550.67 33310002.44 33612195.33 3506242.00 3598768.00 36230896.00 3614451.00 36310331.00 3616247.00 35618296.00 360283.00 28921484.00 3647364.00 3505912.00 3566334.00 354
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
LS3D7684.71 3258776.23 3284410.16 3415298.55 3585631.53 36034329.90 3621504.57 36011554.00 3623896.41 35415111.00 359812.19 3355985.63 3553516.20 3192963.23 3541613.31 340
CLD-MVS7338.25 3248341.00 3274330.00 3404902.00 3564991.00 35923318.00 360728.00 34214437.00 3634378.00 35513379.00 358824.00 3365708.00 35411429.00 3641674.00 3512291.00 351
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
CNLPA10738.67 33411772.44 3377637.33 3429120.00 3608206.00 36122252.00 3592010.00 36124984.00 3647458.00 35722596.00 3612940.00 35710260.00 36311100.00 3633492.00 3554446.00 353
LTVRE_ROB20565.47 2323378.08 33522805.00 33825097.33 35115500.00 36819201.00 37042712.00 3636055.00 36438388.00 36516926.00 36538534.00 3627071.00 35835653.00 36529475.00 36510584.00 36420438.00 363
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 33634443.44 33927094.33 35229249.00 36925246.00 37151144.00 3646705.00 36542886.00 36622888.00 36648534.00 36313263.00 36637507.00 36679298.00 36616024.00 36518530.00 362
114514_t99999.00 33799999.00 34099999.00 35399999.00 37099999.00 37299999.00 36599999.00 37399999.00 36799999.00 36799999.00 36499999.00 36799999.00 36799999.00 36799999.00 36699999.00 364
PHI-MVS99999.00 33799999.00 34099999.00 35399999.00 37099999.00 37299999.00 36599999.00 37399999.00 36799999.00 36799999.00 36499999.00 36799999.00 36799999.00 36799999.00 36699999.00 364
XVG-OURS-SEG-HR999999.00 341999999.00 342999999.00 355999999.00 372999999.00 374999999.00 367999999.00 375999999.00 369999999.00 369999999.00 366999999.00 369999999.00 369999999.00 369999999.00 368999999.00 366
XVG-OURS999999.00 341999999.00 342999999.00 355999999.00 372999999.00 374999999.00 367999999.00 375999999.00 369999999.00 369999999.00 366999999.00 369999999.00 369999999.00 369999999.00 368999999.00 366
XVG-ACMP-BASELINE999999.00 341999999.00 342999999.00 355999999.00 372999999.00 374999999.00 367999999.00 375999999.00 369999999.00 369999999.00 366999999.00 369999999.00 369999999.00 369999999.00 368999999.00 366
MED-MVS test10000000.00 35810000000.00 37510000000.00 37721344.80 35510000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37110000000.00 369
MED-MVS9168445.40 3448891260.53 34710000000.00 35810000000.00 37510000000.00 37721344.80 35510000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
TestfortrainingZip a9168445.40 3448891260.53 34710000000.00 35810000000.00 37510000000.00 37721344.80 35510000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
mamba_040810000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
icg_test_0407_210000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
SSM_0407210000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
SSM_040710000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
IMVS_040710000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
IMVS_040410000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
SSM_040410000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
IMVS_040310000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
SD_040310000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
ME-MVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
NormalMVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
lecture10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
SymmetryMVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
Elysia10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
StellarMVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
KinetiMVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
LuminaMVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
VortexMVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
AstraMVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
guyue10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
sc_t110000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
tt0320-xc10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
tt032010000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
MVSMamba_PlusPlus10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
MGCFI-Net10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
sasdasda10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
dmvs_re10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
SDMVSNet10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
dmvs_testset10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
sd_testset10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
balanced_conf0310000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
MonoMVSNet10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
test250610000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
test111110000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
ECVR-MVScopyleft10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
test_blank10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
tt080510000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
Anonymous2024052110000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
cl2210000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
miper_ehance_all_eth10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
miper_enhance_ethall10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
cl____10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
DIV-MVS_self_test10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
eth_miper_zixun_eth10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
ET-MVSNet_ETH3D10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
UniMVSNet_ETH3D10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
miper_lstm_enhance10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
D2MVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
test_yl10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
thisisatest053010000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
Anonymous2024052910000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
Anonymous20240521110000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
DCV-MVSNet10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
tttt051710000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
our_test_310000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
thisisatest051510000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
ppachtmachnet_test10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
SMA-MVScopyleft10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
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 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
tfpnnormal10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
tfpn200view910000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
c3_l10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
IterMVS-SCA-FT10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
pmmvs610000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
pmmvs510000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
Anonymous2023121110000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
pmmvs-eth3d10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
Anonymous2023120610000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
SCA10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
Patchmatch-test10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
Patchmatch-RL test10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
canonicalmvs10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
anonymousdsp10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
FIs10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
FC-MVSNet-test10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
sosnet-low-res10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
AllTest10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
TestCases10000000.00 35810000000.00 37510000000.00 37710000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
RRT-MVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
balanced_ft_v110000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
HPM-MVS++copyleft10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
XVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
pm-mvs110000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
X-MVStestdata10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
APDe-MVScopyleft10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
pmmvs410000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
test-LLR10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
TESTMET0.1,110000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
test-mter10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
testgi10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
test20.0310000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
thres600view710000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
MP-MVScopyleft10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
thres40010000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
test12310000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
thres20010000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
test0.0.03 110000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
pmmvs310000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
EMVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
E-PMN10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
PGM-MVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
MCST-MVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
MVS_Test10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
PMMVS210000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
PM-MVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
HQP_MVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
plane_prior310000000.00 37710000000.00 37210000000.00 372
plane_prior210000000.00 37010000000.00 372
mPP-MVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
mvsmamba10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
HPM-MVS_fast10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
HPM-MVScopyleft10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
LGP-MVS_train10000000.00 35810000000.00 37510000000.00 37710000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
EPNet_dtu10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP-NCC10000000.00 37510000000.00 37010000000.00 37210000000.00 372
ACMP_Plane10000000.00 37510000000.00 37010000000.00 37210000000.00 372
CNVR-MVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
NCCC10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
CP-MVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
CPTT-MVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
HQP-MVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
IS-MVSNet10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
PAPM_NR10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
PAPR10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
Vis-MVSNet (Re-imp)10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
PatchMatch-RL10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
TDRefinement10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
EPP-MVSNet10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
PMMVS10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
PAPM10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
ACMMPcopyleft10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
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 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
wuyk23d10000000.00 34610000000.00 34910000000.00 35810000000.00 37510000000.00 37710000000.00 37010000000.00 37810000000.00 37210000000.00 37210000000.00 36910000000.00 37210000000.00 37210000000.00 37210000000.00 37110000000.00 369
APD-MVScopyleft1000000000.00 4781000000000.00 4811000000000.00 4951000000000.00 5201000000000.00 5201000000000.00 5071000000000.00 5201000000000.00 5131000000000.00 5141000000000.00 5111000000000.00 5151000000000.00 5141000000000.00 5131000000000.00 5121000000000.00 510
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
TestfortrainingZip21344.80 355
WAC-MVS248.46 236422.23 229
MSC_two_6792asdad2237.56 3272643.17 3432465.14 346493.26 3203088.29 3436075.14 3431078.39 3351159.26 333
No_MVS2237.56 3272643.17 3432465.14 346493.26 3203088.29 3436075.14 3431078.39 3351159.26 333
eth-test21.42 129
eth-test10000000.00 375
OPU-MVS2451.45 3352725.60 3482598.35 3529203.30 3286894.28 334887.23 3383023.43 3395973.88 3391620.04 3471732.56 343
test_0728_SECOND1451.45 3061725.60 3151598.35 3199203.30 328315.86 2952023.43 3173973.88 322620.04 293732.56 298
GSMVS10000000.00 369
test_part210000000.00 37510000000.00 37710000000.00 372
sam_mvs110000000.00 37210000000.00 369
sam_mvs10000000.00 372
ambc999.00 288999.00 297999.00 302999.00 244999.00 351999.00 297999.00 260999.00 343999.00 293999.00 273999.00 327999.00 324
MTGPAbinary10000000.00 378
test_post110000000.00 37010000000.00 36910000000.00 37210000000.00 37210000000.00 372
test_post10000000.00 36910000000.00 37210000000.00 372
patchmatchnet-post10000000.00 36910000000.00 37210000000.00 372
GG-mvs-BLEND596.01 271611.29 272600.33 280790.30 231513.12 326552.71 275567.40 225662.54 330531.67 260503.93 236779.80 308656.02 292
MTMP10000000.00 37010000000.00 378
test9_res0.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
agg_prior0.00 10.00 10.00 10.00 10.00 1
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
原ACMM20.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
test120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
plane_prior710000000.00 37510000000.00 377
plane_prior610000000.00 37510000000.00 37710000000.00 372
plane_prior510000000.00 37810000000.00 37210000000.00 37210000000.00 37110000000.00 369
plane_prior410000000.00 369
plane_prior110000000.00 375
n214.20 203
nn1.42 131
door-mid1.42 131
lessismore_v0569.20 269667.25 286644.68 28696.45 252428.86 2611514.17 288204.21 281756.58 2821061.60 282197.79 259306.34 271
test111.00 124
door99.00 256
HQP5-MVS10000000.00 377
BP-MVS10000000.00 372
HQP4-MVS10000000.00 37210000000.00 37210000000.00 369
HQP3-MVS10000000.00 37810000000.00 371
HQP2-MVS10000000.00 372
NP-MVS10000000.00 37510000000.00 37710000000.00 369
ACMMP++_ref10000000.00 371
ACMMP++10000000.00 371
Test By Simon990.00 342