High-resolution multi-view benchmark

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

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

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

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

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




Method Infoallhigh-res
multi-view		indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort by
gbinet_0.2-2-1-0.020.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
0.3-1-1-0.0150.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
0.4-1-1-0.10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
0.4-1-1-0.20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
wanda-best-256-5120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_dtu_shiyan20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_dtu_shiyan10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blended_shiyan80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E5new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-blended-shiyan70.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E6new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blended_shiyan60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_blend_shiyan50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blend_shiyan40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E3new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_100.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt070.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt090.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt130.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewcassd2359sk110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmacassd2359aftdt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmsd2359difaftdt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
diffmvs_AUTHOR0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmambaseed2359dif0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmanbaseed2359cas0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_70.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n_20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf0.1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf0.01_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmvis_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsm_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_cas_vis1_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
mvsany_test10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
APD_test10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_rt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis3_rt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
mvsany_test30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testf10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
APD_test20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_f0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
SF-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
9.140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MGCNet0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
train_agg0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
agg_prior0.00 10.00 10.00 10.00 10.00 1
HFP-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
region2R0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_prior20.00 10.00 10.00 10.00 10.00 10.00 10.00 1
旧先验20.00 10.00 10.00 10.00 10.00 1
新几何10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test2220.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
13140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
QAPM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
h-mvs330.30 820.30 830.30 870.30 940.30 940.30 940.30 950.30 940.30 930.30 910.30 930.30 940.30 920.30 920.30 92
hse-mvs20.30 820.30 830.30 870.30 940.30 940.30 940.30 950.30 940.30 930.30 910.30 930.30 940.30 920.30 920.30 92
CL-MVSNet_self_test0.30 820.30 830.30 870.30 940.30 940.30 940.30 950.30 940.30 930.30 910.30 930.30 940.30 920.30 920.30 92
AUN-MVS0.30 820.30 830.30 870.30 940.30 940.30 940.30 950.30 940.30 930.30 910.30 930.30 940.30 920.30 920.30 92
LCM-MVSNet0.37 860.36 870.37 910.37 980.37 980.37 980.32 990.37 980.37 970.37 950.37 970.37 980.37 960.37 960.37 96
v1441920.40 870.40 880.40 920.40 990.40 990.40 990.40 1010.40 990.40 980.40 960.40 980.40 990.40 970.40 970.40 97
v19219200.40 870.40 880.40 920.40 990.40 990.40 990.40 1010.40 990.40 980.40 960.40 980.40 990.40 970.40 970.40 97
v11920.40 870.40 880.40 920.40 990.40 990.40 990.40 1010.40 990.40 980.40 960.40 980.40 990.40 970.40 970.40 97
v11440.40 870.40 880.40 920.40 990.40 990.40 990.40 1010.40 990.40 980.40 960.40 980.40 990.40 970.40 970.40 97
v1480.40 870.40 880.40 920.40 990.40 990.40 990.40 1010.40 990.40 980.40 960.40 980.40 990.40 970.40 970.40 97
v7n0.40 870.40 880.40 920.40 990.40 990.40 990.40 1010.40 990.40 980.40 960.40 980.40 990.40 970.40 970.40 97
v12400.40 870.40 880.40 920.40 990.40 990.40 990.40 1010.40 990.40 980.40 960.40 980.40 990.40 970.40 970.40 97
v80.40 870.40 880.40 920.40 990.40 990.40 990.40 1010.40 990.40 980.40 960.40 980.40 990.40 970.40 970.40 97
v100.40 870.40 880.40 920.40 990.40 990.40 990.40 1010.40 990.40 980.40 960.40 980.40 990.40 970.40 970.40 97
v2v4820.40 870.40 880.40 920.40 990.40 990.40 990.40 1010.40 990.40 980.40 960.40 980.40 990.40 970.40 970.40 97
V420.40 870.40 880.40 920.40 990.40 990.40 990.40 1010.40 990.40 980.40 960.40 980.40 990.40 970.40 970.40 97
GA-MVS0.40 870.40 880.40 920.40 990.40 990.40 990.40 1010.40 990.40 980.40 960.40 980.40 990.40 970.40 970.40 97
Fast-Effi-MVS+0.41 990.40 880.41 1040.41 1110.41 1110.41 1110.35 1000.41 1110.41 1100.41 1080.41 1100.41 1110.41 1090.41 1090.41 109
Fast-Effi-MVS+-dtu0.44 1000.44 1010.44 1050.44 1120.44 1120.44 1120.44 1130.44 1120.44 1110.44 1090.44 1110.44 1120.44 1100.44 1100.44 110
Effi-MVS+-dtu0.59 1020.61 1040.53 1060.68 1200.53 1130.53 1130.68 1210.68 1200.53 1120.53 1100.68 1190.53 1130.68 1180.53 1110.53 111
KD-MVS_self_test0.60 1030.60 1030.60 1070.60 1140.60 1140.60 1150.60 1150.60 1140.60 1130.60 1110.60 1130.60 1140.60 1110.60 1130.60 112
EIA-MVS0.62 1040.62 1050.62 1080.62 1150.62 1150.62 1160.62 1160.62 1150.62 1140.62 1120.62 1140.62 1150.62 1120.62 1140.62 113
ETV-MVS0.62 1040.62 1050.62 1080.62 1150.62 1150.62 1160.62 1160.62 1150.62 1140.62 1120.62 1140.62 1150.62 1120.62 1140.62 113
CS-MVS0.62 1040.62 1050.62 1080.62 1150.62 1150.62 1160.62 1160.62 1150.62 1140.62 1120.62 1140.62 1150.62 1120.62 1140.62 113
SPE-MVS-test0.62 1040.62 1050.62 1080.62 1150.62 1150.62 1160.62 1160.62 1150.62 1140.62 1120.62 1140.62 1150.62 1120.62 1140.62 113
Effi-MVS+0.58 1010.56 1020.62 1080.53 1130.62 1150.53 1130.53 1140.53 1130.62 1140.62 1120.53 1120.62 1150.62 1120.53 1110.62 113
EC-MVSNet0.62 1040.62 1050.62 1080.62 1150.62 1150.62 1160.62 1160.62 1150.62 1140.62 1120.62 1140.62 1150.62 1120.62 1140.62 113
CDS-MVSNet0.88 1090.88 1100.88 1140.88 1210.88 1210.88 1210.88 1220.88 1210.88 1200.88 1180.88 1200.88 1210.88 1190.88 1190.88 119
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 1090.88 1100.88 1140.88 1210.88 1210.88 1210.88 1220.88 1210.88 1200.88 1180.88 1200.88 1210.88 1190.88 1190.88 119
LCM-MVSNet-Re0.89 1110.89 1120.89 1160.89 1230.89 1230.89 1230.89 1240.89 1230.89 1220.89 1200.89 1220.89 1230.89 1210.89 1210.89 121
DeepMVS_CXcopyleft1.00 1171.00 1241.00 1241.00 1251.00 1241.00 1231.00 1211.00 1231.00 1241.00 1221.00 1221.00 122
MDA-MVSNet-bldmvs1.20 1121.20 1131.20 1181.20 1251.20 1261.20 1241.20 1271.20 1251.20 1241.20 1221.20 1241.20 1251.20 1231.20 1231.20 123
YYNet11.20 1121.20 1131.20 1181.20 1251.20 1261.20 1241.20 1271.20 1251.20 1241.20 1221.20 1241.20 1251.20 1231.20 1231.20 123
MDA-MVSNet_test_wron1.20 1121.20 1131.20 1181.20 1251.20 1261.20 1241.20 1271.20 1251.20 1241.20 1221.20 1241.20 1251.20 1231.20 1231.20 123
KD-MVS_2432*16001.30 1151.30 1161.30 1211.30 1281.30 1291.30 1271.30 1301.30 1281.30 1271.30 1251.30 1271.30 1281.30 1261.30 1261.30 126
miper_refine_blended1.30 1151.30 1161.30 1211.30 1281.30 1291.30 1271.30 1301.30 1281.30 1271.30 1251.30 1271.30 1281.30 1261.30 1261.30 126
EI-MVSNet-UG-set1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
EI-MVSNet-Vis-set1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
EI-MVSNet1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
Regformer1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
CVMVSNet1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
EU-MVSNet1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
PS-CasMVS1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
UniMVSNet_NR-MVSNet1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
PEN-MVS1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
TransMVSNet (Re)1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
DTE-MVSNet1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
DU-MVS1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
UniMVSNet (Re)1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
CP-MVSNet1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
WR-MVS_H1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
WR-MVS1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
NR-MVSNet1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
Baseline_NR-MVSNet1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
TranMVSNet+NR-MVSNet1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
MVSFormer1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
jason1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
jason: jason.
lupinMVS1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
test_djsdf1.42 1171.42 1181.42 1231.42 1301.42 1311.42 1291.42 1321.42 1301.42 1291.42 1271.42 1291.42 1301.42 1281.42 1281.42 128
reproduce_monomvs1.48 1401.48 1411.48 1461.48 1541.48 1541.48 1521.48 1571.48 1531.48 1521.48 1501.48 1521.48 1531.48 1511.48 1511.48 151
mmtdpeth1.48 1401.48 1411.48 1461.48 1541.48 1541.48 1521.48 1571.48 1531.48 1521.48 1501.48 1521.48 1531.48 1511.48 1511.48 151
reproduce_model1.48 1401.48 1411.48 1461.48 1541.48 1541.48 1521.48 1571.48 1531.48 1521.48 1501.48 1521.48 1531.48 1511.48 1511.48 151
reproduce-ours1.48 1401.48 1411.48 1461.48 1541.48 1541.48 1521.48 1571.48 1531.48 1521.48 1501.48 1521.48 1531.48 1511.48 1511.48 151
our_new_method1.48 1401.48 1411.48 1461.48 1541.48 1541.48 1521.48 1571.48 1531.48 1521.48 1501.48 1521.48 1531.48 1511.48 1511.48 151
mmdepth1.48 1401.48 1411.48 1461.48 1541.48 1541.48 1521.48 1571.48 1531.48 1521.48 1501.48 1521.48 1531.48 1511.48 1511.48 151
monomultidepth1.48 1401.48 1411.48 1461.48 1541.48 1541.48 1521.48 1571.48 1531.48 1521.48 1501.48 1521.48 1531.48 1511.48 1511.48 151
mvs5depth1.48 1401.48 1411.48 1461.48 1541.48 1541.48 1521.48 1571.48 1531.48 1521.48 1501.48 1521.48 1531.48 1511.48 1511.48 151
MVStest11.48 1401.48 1411.48 1461.48 1541.48 1541.48 1521.48 1571.48 1531.48 1521.48 1501.48 1521.48 1531.48 1511.48 1511.48 151
ttmdpeth1.48 1401.48 1411.48 1461.48 1541.48 1541.48 1521.48 1571.48 1531.48 1521.48 1501.48 1521.48 1531.48 1511.48 1511.48 151
alignmvs2.00 1502.00 1512.00 1562.00 1642.00 1642.00 1622.00 1672.00 1632.00 1622.00 1602.00 1622.00 1632.00 1612.00 1612.00 161
nrg0302.00 1502.00 1512.00 1562.00 1642.00 1642.00 1622.00 1672.00 1632.00 1622.00 1602.00 1622.00 1632.00 1612.00 1612.00 161
LFMVS2.00 1502.00 1512.00 1562.00 1642.00 1642.00 1622.00 1672.00 1632.00 1622.00 1602.00 1622.00 1632.00 1612.00 1612.00 161
VDD-MVS2.00 1502.00 1512.00 1562.00 1642.00 1642.00 1622.00 1672.00 1632.00 1622.00 1602.00 1622.00 1632.00 1612.00 1612.00 161
VDDNet2.00 1502.00 1512.00 1562.00 1642.00 1642.00 1622.00 1672.00 1632.00 1622.00 1602.00 1622.00 1632.00 1612.00 1612.00 161
VPNet2.00 1502.00 1512.00 1562.00 1642.00 1642.00 1622.00 1672.00 1632.00 1622.00 1602.00 1622.00 1632.00 1612.00 1612.00 161
VNet2.00 1502.00 1512.00 1562.00 1642.00 1642.00 1622.00 1672.00 1632.00 1622.00 1602.00 1622.00 1632.00 1612.00 1612.00 161
VPA-MVSNet2.00 1502.00 1512.00 1562.00 1642.00 1642.00 1622.00 1672.00 1632.00 1622.00 1602.00 1622.00 1632.00 1612.00 1612.00 161
cascas2.00 1502.00 1512.00 1562.00 1642.00 1642.00 1622.00 1672.00 1632.00 1622.00 1602.00 1622.00 1632.00 1612.00 1612.00 161
UnsupCasMVSNet_eth5.90 1595.90 1605.90 1655.90 1735.90 1735.90 1725.90 1795.90 1735.90 1715.90 1695.90 1735.90 1725.90 1705.90 1735.90 173
UnsupCasMVSNet_bld5.90 1595.90 1605.90 1655.90 1735.90 1735.90 1725.90 1795.90 1735.90 1715.90 1695.90 1735.90 1725.90 1705.90 1735.90 173
WTY-MVS5.90 1595.90 1605.90 1655.90 1735.90 1735.90 1725.90 1795.90 1735.90 1715.90 1695.90 1735.90 1725.90 1705.90 1735.90 173
HY-MVS5.90 15.90 1595.90 1605.90 1655.90 1735.90 1735.90 1725.90 1795.90 1735.90 1715.90 1695.90 1735.90 1725.90 1705.90 1735.90 173
sss5.90 1595.90 1605.90 1655.90 1735.90 1735.90 1725.90 1795.90 1735.90 1715.90 1695.90 1735.90 1725.90 1705.90 1735.90 173
Test_1112_low_res5.90 1595.90 1605.90 1655.90 1735.90 1735.90 1725.90 1795.90 1735.90 1715.90 1695.90 1735.90 1725.90 1705.90 1735.90 173
1112_ss5.90 1595.90 1605.90 1655.90 1735.90 1735.90 1725.90 1795.90 1735.90 1715.90 1695.90 1735.90 1725.90 1705.90 1735.90 173
ab-mvs-re5.90 1595.90 1605.90 1655.90 1735.90 1735.90 1725.90 1795.90 1735.90 1715.90 1695.90 1735.90 1725.90 1705.90 1735.90 173
ab-mvs5.90 1595.90 1605.90 1655.90 1735.90 1735.90 1725.90 1795.90 1735.90 1715.90 1695.90 1735.90 1725.90 1705.90 1735.90 173
CDPH-MVS6.66 1686.66 1696.66 1746.66 1826.66 1826.66 1816.66 1886.66 1826.66 1806.66 1786.66 1826.66 1816.66 1796.66 1826.66 182
dp87.20 188113.80 1927.42 17510.50 1948.88 183298.82 2092.70 176510.35 2287.79 181172.93 2023.37 1719.16 18214.00 1933.71 1714.23 171
MDTV_nov1_ep13_2view9.99 1849.99 1829.99 1839.99 1829.99 1849.99 1809.99 183
MDTV_nov1_ep139.99 1709.99 1839.99 1849.99 1829.99 1909.99 1839.99 1829.99 1799.99 1849.99 1839.99 1809.99 184
xiu_mvs_v1_base_debu10.28 16910.28 17110.28 17610.28 18410.28 18610.28 18410.28 19110.28 18510.28 18410.28 18010.28 18610.28 18410.28 18210.28 18510.28 184
xiu_mvs_v2_base10.28 16910.28 17110.28 17610.28 18410.28 18610.28 18410.28 19110.28 18510.28 18410.28 18010.28 18610.28 18410.28 18210.28 18510.28 184
xiu_mvs_v1_base10.28 16910.28 17110.28 17610.28 18410.28 18610.28 18410.28 19110.28 18510.28 18410.28 18010.28 18610.28 18410.28 18210.28 18510.28 184
xiu_mvs_v1_base_debi10.28 16910.28 17110.28 17610.28 18410.28 18610.28 18410.28 19110.28 18510.28 18410.28 18010.28 18610.28 18410.28 18210.28 18510.28 184
cdsmvs_eth3d_5k10.28 16910.28 17110.28 17610.28 18410.28 18610.28 18410.28 19110.28 18510.28 18410.28 18010.28 18610.28 18410.28 18210.28 18510.28 184
pcd_1.5k_mvsjas10.28 16910.28 17110.28 17610.28 18410.28 18610.28 18410.28 19110.28 18510.28 18410.28 18010.28 18610.28 18410.28 18210.28 18510.28 184
PS-MVSNAJss10.28 16910.28 17110.28 17610.28 18410.28 18610.28 18410.28 19110.28 18510.28 18410.28 18010.28 18610.28 18410.28 18210.28 18510.28 184
PS-MVSNAJ10.28 16910.28 17110.28 17610.28 18410.28 18610.28 18410.28 19110.28 18510.28 18410.28 18010.28 18610.28 18410.28 18210.28 18510.28 184
jajsoiax10.28 16910.28 17110.28 17610.28 18410.28 18610.28 18410.28 19110.28 18510.28 18410.28 18010.28 18610.28 18410.28 18210.28 18510.28 184
mvs_tets10.28 16910.28 17110.28 17610.28 18410.28 18610.28 18410.28 19110.28 18510.28 18410.28 18010.28 18610.28 18410.28 18210.28 18510.28 184
test_method18.29 18120.89 18310.50 18615.00 19613.00 19855.00 2013.00 17734.00 19811.50 19432.50 1925.00 17213.50 19527.00 1965.00 1725.00 172
SR-MVS-dyc-post11.55 17911.55 18111.55 18811.55 19511.55 19711.55 19411.55 20311.55 19511.55 19511.55 19011.55 19711.55 19411.55 19211.55 19511.55 194
GeoE19.41 18222.09 18411.37 18717.21 19811.30 19650.50 2004.30 17833.60 19711.70 19644.50 1977.30 18318.90 19722.60 1957.10 1833.90 170
XXY-MVS15.00 18015.00 18215.00 18915.00 19615.00 19915.00 19515.00 20515.00 19615.00 19715.00 19115.00 20115.00 19615.00 19415.00 19715.00 196
GBi-Net44.67 18749.24 18930.96 19047.53 20347.57 204126.09 2028.00 18976.99 20326.09 19873.50 19911.27 19630.55 19861.12 20112.58 19614.75 195
BH-w/o40.00 18340.00 18540.00 19140.00 19940.00 20040.00 19640.00 22440.00 19940.00 19940.00 19340.00 21840.00 19940.00 19740.00 21140.00 207
BH-untuned40.00 18340.00 18540.00 19140.00 19940.00 20040.00 19640.00 22440.00 19940.00 19940.00 19340.00 21840.00 19940.00 19740.00 21140.00 207
BH-RMVSNet40.00 18340.00 18540.00 19140.00 19940.00 20040.00 19640.00 22440.00 19940.00 19940.00 19340.00 21840.00 19940.00 19740.00 21140.00 207
TR-MVS40.00 18340.00 18540.00 19140.00 19940.00 20040.00 19640.00 22440.00 19940.00 19940.00 19340.00 21840.00 19940.00 19740.00 21140.00 207
new_pmnet88.14 18998.62 19056.70 19598.14 21056.07 205246.79 20415.37 206148.06 20450.77 203143.13 20023.35 20262.65 20393.26 20268.71 22151.38 217
N_pmnet88.14 18998.62 19056.70 19598.14 21056.07 205246.79 20415.37 206148.06 20450.77 203143.13 20023.35 20262.65 20393.26 20268.71 22151.38 217
MTAPA833442.10 3411111233.77 34767.09 19765.59 20464.81 207284.50 20610000000.00 379219.97 20959.62 205229.89 21312.72 198103.00 218203.67 21927.93 19833.46 197
MP-MVS-pluss833433.63 3401111219.60 34675.70 20174.28 20573.29 208284.50 20611.35 201238.58 21065.86 206255.35 21814.55 199115.69 22010000000.00 37331.94 19938.12 205
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 194133.18 19675.70 20174.28 20573.29 208284.50 20611.35 201238.58 21065.86 206255.35 21814.55 199115.69 220222.18 22031.94 19938.12 205
CANet110.62 191124.04 19370.34 19882.03 20774.27 210325.54 21025.25 209207.16 20669.28 208194.38 20327.53 20495.79 212147.76 20637.43 20140.97 211
CANet_DTU110.62 191124.04 19370.34 19882.03 20774.27 210325.54 21025.25 209207.16 20669.28 208194.38 20327.53 20495.79 212147.76 20637.43 20140.97 211
UGNet110.62 191124.04 19370.34 19882.03 20774.27 210325.54 21025.25 209207.16 20669.28 208194.38 20327.53 20495.79 212147.76 20637.43 20140.97 211
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
FMVSNet5124.76 195140.93 19776.26 203107.44 213100.17 217329.88 21327.12 215259.44 21574.30 211204.34 20630.74 20792.41 205196.98 20938.15 20436.19 198
test1124.76 195140.93 19776.26 203107.44 213100.17 217329.88 21327.12 215259.44 21574.30 211204.34 20630.74 20792.41 205196.98 20938.15 20436.19 198
FMVSNet3124.76 195140.93 19776.26 203107.44 213100.17 217329.88 21327.12 215259.44 21574.30 211204.34 20630.74 20792.41 205196.98 20938.15 20436.19 198
FMVSNet2124.76 195140.93 19776.26 203107.44 213100.17 217329.88 21327.12 215259.44 21574.30 211204.34 20630.74 20792.41 205196.98 20938.15 20436.19 198
FMVSNet1124.76 195140.93 19776.26 203107.44 213100.17 217329.88 21327.12 215259.44 21574.30 211204.34 20630.74 20792.41 205196.98 20938.15 20436.19 198
MIMVSNet1124.76 195140.93 19776.26 203107.44 213100.17 217329.88 21327.12 215259.44 21574.30 211204.34 20630.74 20792.41 205196.98 20938.15 20436.19 198
MIMVSNet124.76 195140.93 19776.26 203107.44 213100.17 217329.88 21327.12 215259.44 21574.30 211204.34 20630.74 20792.41 205196.98 20938.15 20436.19 198
PVSNet_Blended_VisFu136.90 203155.40 20581.40 210111.00 22096.20 214407.00 22025.90 212251.60 21285.10 218240.50 21437.00 21499.90 215199.80 21640.70 21548.10 214
PVSNet_BlendedMVS136.90 203155.40 20581.40 210111.00 22096.20 214407.00 22025.90 212251.60 21285.10 218240.50 21437.00 21499.90 215199.80 21640.70 21548.10 214
PVSNet_Blended136.90 203155.40 20581.40 210111.00 22096.20 214407.00 22025.90 212251.60 21285.10 218240.50 21437.00 21499.90 215199.80 21640.70 21548.10 214
DSMNet-mixed131.33 202143.00 20496.33 21399.00 21281.00 213201.00 20345.00 229335.00 22299.00 221251.00 21738.00 217110.00 219120.00 20599.00 22798.00 223
BP-MVS1202.65 206232.15 208114.16 214183.40 224141.78 224655.87 22824.69 208372.56 223109.76 222356.89 22047.15 222139.51 222284.15 22254.86 21861.20 219
FE-MVS207.10 207234.26 209125.61 215180.34 223153.23 225635.64 22730.05 222378.38 224127.68 223377.08 22148.95 223154.43 223266.67 22163.56 21969.18 220
GDP-MVS219.79 208249.11 210131.85 216187.15 225155.97 226667.31 22930.57 223398.95 225131.26 224387.86 22258.83 225164.55 224315.00 22365.03 22075.04 221
FA-MVS(test-final)261.15 209293.29 211164.72 217236.23 228199.99 231800.05 23542.35 228475.87 227155.47 225470.67 22458.49 224205.24 226319.44 22481.03 22488.93 222
kuosan267.89 211301.05 213168.41 218244.05 229177.28 227667.98 23065.76 231533.41 229157.79 226492.01 225104.69 240226.72 227364.47 22779.31 223101.21 225
DP-MVS264.78 210296.02 212171.04 219191.70 226183.96 228827.10 23678.36 240438.24 226176.64 227435.12 22365.04 227230.52 229334.02 225117.96 23598.64 224
SSC-MVS320.23 213364.09 215188.66 220260.78 231193.84 229975.93 24473.11 236596.72 234185.29 228589.02 23174.47 229246.01 230427.42 23194.06 226126.12 228
WB-MVS316.44 212357.41 214193.51 221257.06 230213.32 234914.45 23849.03 230600.77 235186.42 229634.00 23775.03 230251.35 231411.39 22888.55 225115.87 227
UWE-MVS-28327.73 214369.67 216201.90 222281.09 237210.75 232832.98 23774.67 239680.98 242198.23 230613.42 234112.56 243259.80 232418.76 229114.35 229135.15 234
dongtai360.45 217401.64 219236.89 227303.10 238262.16 242963.12 24172.78 234622.82 238199.37 231708.06 240130.96 248310.90 237506.46 241108.11 228137.60 235
testing3418.10 225469.06 227265.23 235335.69 242290.63 2451240.88 26193.72 250717.99 244215.31 232811.97 253232.41 287358.74 243458.67 232114.88 230146.32 237
testing11348.86 216393.09 218216.15 223275.24 234239.53 235915.55 23972.35 233679.89 241215.75 233633.79 236118.08 245276.62 233509.56 242117.61 234132.30 230
testing91347.05 215389.92 217218.43 224275.92 235241.43 236923.71 24071.70 232667.65 240217.04 234629.00 235113.33 244281.39 234495.50 234115.45 231132.47 231
WB-MVSnew404.84 223458.00 225245.36 229374.70 248320.27 2501193.74 25972.90 235773.77 250238.30 235688.22 23990.05 233308.59 236532.76 245157.54 246107.21 226
EG-PatchMatch MVS437.03 228493.12 232268.77 236264.80 233260.20 2411491.80 26798.00 254723.20 246238.80 236722.40 24163.10 226382.00 249629.00 254207.00 261164.10 244
RPSCF394.81 222445.63 224242.35 228276.55 236253.63 2381207.27 26090.69 249715.56 243241.57 237684.87 238111.96 242320.02 239548.38 246133.81 237153.39 240
UWE-MVS387.98 220438.66 223235.93 225349.32 244257.61 2401081.50 25282.45 244637.74 239257.12 238738.54 242134.25 249308.00 235531.93 244135.11 238142.17 236
testing99408.82 224462.15 226248.86 231322.45 241269.42 2431118.93 25573.26 237719.36 245262.28 239772.10 244150.98 255327.08 240601.98 250137.99 239150.07 238
myMVS_eth3d28418.40 226473.07 228254.39 233261.18 232313.04 2461172.79 25874.16 238929.18 258264.68 240745.72 243139.03 253318.91 238549.18 247121.71 236131.21 229
Syy-MVS370.76 218415.60 221236.25 226310.54 239210.76 233965.13 24298.58 255746.06 247266.26 241788.85 24791.37 234364.76 245357.17 226116.42 232133.22 232
myMVS_eth3d390.90 221437.44 222251.28 232310.54 239255.86 239965.13 24298.58 255746.06 247266.26 241788.85 247154.95 256364.76 245490.19 233116.42 232133.22 232
ETVMVS443.50 231498.07 233279.78 237378.05 251321.57 2511163.68 25787.12 245897.50 257269.81 243822.83 254141.20 254334.53 242568.21 249154.21 241183.26 248
testing222430.52 227487.50 231259.56 234379.87 252282.69 2441138.34 25681.30 242880.86 254281.58 244834.27 255135.83 251333.22 241514.90 243140.56 240162.76 241
ADS-MVSNet2443.33 229482.84 229324.79 248434.94 261387.73 2591110.57 25387.69 246887.02 255282.92 245779.29 24598.57 238422.76 257502.40 235162.19 250163.87 242
ADS-MVSNet443.33 229482.84 229324.79 248434.94 261387.73 2591110.57 25387.69 246887.02 255282.92 245779.29 24598.57 238422.76 257502.40 235162.19 250163.87 242
DP-MVS Recon516.25 238581.17 239321.48 247361.02 245429.00 2631995.36 27578.48 241796.20 251283.32 247796.02 24996.78 235382.98 250636.72 256186.66 258152.46 239
MVP-Stereo473.58 232533.67 234293.33 239376.00 249318.00 2471461.00 26596.00 251835.00 252290.00 248804.00 25097.00 236383.00 251688.00 262156.00 243179.00 246
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 232533.67 234293.33 239376.00 249318.00 2471461.00 26596.00 251835.00 252290.00 248804.00 25097.00 236383.00 251688.00 262156.00 243179.00 246
WBMVS655.88 244770.84 249310.98 245391.79 255353.00 2552280.68 27799.17 2581776.79 291301.20 2501123.23 273187.34 273390.28 253620.39 253156.98 245189.66 251
testing3-2489.51 234555.88 237290.42 238362.21 246319.27 2491424.84 26488.81 248964.80 259309.62 251879.13 257174.38 263363.98 244643.82 258155.29 242188.01 249
PatchmatchNetpermissive492.52 235551.22 236316.40 246400.20 257357.90 2571277.10 262115.80 2621034.60 268315.90 252874.00 256155.10 257402.20 254629.50 255158.80 247189.10 250
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
SSC-MVS3.2667.82 246787.71 250308.16 243385.94 253327.65 2521718.51 270117.00 2641942.46 296317.12 2531488.73 287183.89 264404.82 255763.70 264172.02 253192.01 253
UBG667.82 246787.71 250308.16 243385.94 253327.65 2521718.51 270117.00 2641942.46 296317.12 2531488.73 287183.89 264404.82 255763.70 264172.02 253192.01 253
DELS-MVS514.57 237587.73 240295.12 241343.03 243328.09 2541540.48 269116.22 263988.59 260325.44 255906.22 258119.86 247365.72 247788.60 266161.09 249191.55 252
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
ACMH+729.97 2661.38 245754.00 247383.51 251368.96 247376.38 2582483.74 28982.42 2431089.25 269333.39 2561219.68 27466.53 228573.60 274957.86 272184.14 257200.56 255
tpmvs501.65 236567.42 238304.33 242395.39 256356.32 2561512.04 268216.53 291994.15 261350.16 257804.16 252119.38 246380.98 248555.14 248159.87 248175.69 245
IterMVS615.05 242691.66 245385.23 252516.40 264454.80 2641863.80 273102.10 2591142.20 270364.10 2581093.20 272135.00 250480.40 260826.90 267181.20 255220.50 256
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 243700.96 246362.78 250426.10 260409.25 2611822.69 272124.42 2741186.23 271366.85 2591079.42 270190.60 275451.78 259930.72 271181.59 256227.30 257
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
new-patchmatchnet766.12 250859.03 255487.38 265595.68 266536.14 2692346.27 279142.51 2791488.08 278422.43 2601361.32 278163.65 260628.60 2791003.74 281207.61 262297.41 271
SixPastTwentyTwo773.62 251869.37 257486.35 264603.45 268547.15 2782532.14 290106.92 2611434.95 277428.08 2611360.56 277165.15 261628.96 280984.09 273209.01 263282.94 268
lessismore_v0569.20 270667.25 287644.68 28796.45 253428.86 2621514.17 289204.21 282756.58 2831061.60 283197.79 260306.34 272
IterMVS-LS758.94 249856.56 254466.10 262606.60 269546.80 2772309.90 278122.20 2731402.80 276463.50 2631348.20 276192.60 276574.60 2751028.60 282234.60 273276.90 267
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
mvs_anonymous774.90 252882.28 258452.77 254636.50 278537.20 2702348.80 280120.30 2661504.30 279474.40 2641371.10 279186.90 266564.70 2671078.90 284219.30 264256.40 258
casdiffmvspermissive774.90 252882.28 258452.77 254636.50 278537.20 2702348.80 280120.30 2661504.30 279474.40 2641371.10 279186.90 266564.70 2671078.90 284219.30 264256.40 258
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 252882.28 258452.77 254636.50 278537.20 2702348.80 280120.30 2661504.30 279474.40 2641371.10 279186.90 266564.70 2671078.90 284219.30 264256.40 258
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 252882.28 258452.77 254636.50 278537.20 2702348.80 280120.30 2661504.30 279474.40 2641371.10 279186.90 266564.70 2671078.90 284219.30 264256.40 258
baseline1774.90 252882.28 258452.77 254636.50 278537.20 2702348.80 280120.30 2661504.30 279474.40 2641371.10 279186.90 266564.70 2671078.90 284219.30 264256.40 258
casdiffmvs_mvgpermissive774.90 252882.28 258452.77 254636.50 278537.20 2702348.80 280120.30 2661504.30 279474.40 2641371.10 279186.90 266564.70 2671078.90 284219.30 264256.40 258
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 252882.28 258452.77 254636.50 278537.20 2702348.80 280120.30 2661504.30 279474.40 2641371.10 279186.90 266564.70 2671078.90 284219.30 264256.40 258
ACMH993.80 5967.92 2671106.11 277553.33 268494.00 263534.00 2683581.00 295136.00 2761585.00 288478.00 2711871.00 29490.00 231839.00 2861460.00 295260.00 274287.00 269
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet1207.94 6829.56 262937.18 265506.69 266645.55 285585.72 2802477.98 288130.52 2751578.29 287509.50 2721460.01 286194.90 277637.19 2811170.78 292267.07 277297.17 270
Gipumacopyleft689.75 248767.00 248458.00 261613.00 276549.00 2791943.00 274187.00 2881230.00 272518.00 2731092.00 271203.00 281564.00 266892.00 270225.00 271261.00 265
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft863.65 3957.08 2661054.11 275666.00 280401.00 258495.00 2663790.00 297279.00 2931607.00 289521.00 2741745.00 29290.00 2311105.00 303639.00 257415.00 288398.00 285
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
K. test v3877.74 264980.16 267570.46 2711316.85 310813.15 2962565.52 291103.78 2601509.49 286548.33 2751258.90 275219.93 286587.82 2761102.37 291196.30 259310.42 273
GG-mvs-BLEND596.01 272611.29 273600.33 281790.30 232513.12 327552.71 276567.40 226662.54 331531.67 261503.93 237779.80 309656.02 293
gg-mvs-nofinetune594.69 239605.37 241562.67 269617.29 277500.33 267772.30 231413.12 312579.21 230552.71 276567.40 226662.54 331531.67 261503.93 237779.80 309656.02 293
CR-MVSNet612.36 241617.81 244596.01 272611.29 273600.33 281790.30 232513.12 327579.21 230552.71 276567.40 226662.54 331531.67 261503.93 237779.80 309656.02 293
MVSTER890.06 2651005.91 274542.52 267736.13 290653.90 2882616.56 292145.22 2811692.10 290555.69 2791554.72 290266.25 288660.02 2821219.66 293266.84 276313.64 274
ACMP1246.57 71086.24 2751235.17 279639.45 275596.53 267639.91 2863904.24 298152.04 2821851.54 293566.58 2801997.95 296138.50 252938.30 2901605.46 297303.70 283340.14 276
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PVSNet_01661.03 9968.54 2681066.82 276673.70 281706.94 288695.69 2892669.02 293153.52 2832108.17 299605.54 2811679.14 291213.26 285886.75 2891236.76 294229.01 272438.67 286
tmp_tt371.08 219412.78 220246.00 230231.00 227197.00 2301293.00 263376.00 304756.00 249609.00 28271.00 198106.00 241195.00 225102.00 204171.00 252346.00 278
RE-MVS-def610.10 242610.10 271610.10 284610.10 225610.10 336610.10 236610.10 283610.10 232610.10 319610.10 251610.10 292610.10 290
SR-MVS610.10 240610.10 242610.10 274610.10 271610.10 284610.10 225610.10 336610.10 236610.10 283610.10 232610.10 319610.10 277610.10 251610.10 292610.10 290
MSLP-MVS++1242.93 2801411.08 283738.48 285712.71 289712.68 2904168.17 300136.50 2772276.40 301613.28 2852368.60 301161.61 2591130.38 3041964.54 304297.88 280372.39 281
MVS_111021_LR1136.45 2781298.72 281649.64 276756.17 291726.26 2923785.94 296138.15 2782190.64 300629.63 2862064.39 297165.45 262874.83 2881678.43 300279.70 278347.82 279
ACMMPR1296.60 2821480.82 285743.96 286899.25 295763.47 2944305.47 301143.90 2802530.94 304683.99 2872346.34 300201.65 2801098.25 3021920.59 303295.21 279370.16 280
test_04021110.00 2771260.00 280660.00 277900.00 296780.00 2953300.00 294210.00 2902040.00 298690.00 2881950.00 295300.00 292810.00 2851620.00 298330.00 284390.00 284
DeepC-MVS_fast2190.19 121535.59 2851886.82 289481.89 263847.73 292830.16 2977943.84 322189.23 2892398.83 302691.73 2892341.13 299209.16 283230.25 2281999.25 305360.46 285385.25 283
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMM1311.08 81165.06 2791332.72 282662.07 279584.90 265715.99 2914373.59 302153.99 2841880.27 294709.02 2902316.97 298188.63 274939.89 2911484.30 296302.78 282330.34 275
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
TSAR-MVS + GP.1386.84 2831622.84 287678.81 282952.13 297840.17 2985358.21 306170.75 2862650.47 305713.54 2912394.28 302209.42 284855.56 2871854.36 302302.42 281340.71 277
MG-MVS1256.50 2811432.00 284730.00 284610.00 270760.00 2934720.00 303169.00 2851920.00 295723.00 2922510.00 304201.00 2791050.00 3011645.00 299390.00 287380.00 282
CSCG826.03 261963.29 266414.24 253421.52 259426.11 2622230.35 276179.52 2871827.44 292733.43 293933.12 260281.25 289545.23 2651800.35 301262.64 275271.38 266
FPMVS1407.00 2841495.59 2861141.23 297648.01 286893.85 3004124.00 299503.81 3263219.04 307742.72 2942498.84 303157.98 2581727.83 310832.93 268732.98 308802.00 302
Patchmtry1090.75 2761198.88 278766.38 2871290.90 308485.90 2652423.98 2871267.30 3591297.17 273923.90 295923.40 2591215.54 352990.23 292667.90 259779.80 309823.02 307
PatchT856.34 263860.99 256842.38 2881290.90 308880.90 299790.30 2321267.30 359579.21 230923.90 295567.40 226662.54 331990.23 292887.56 269779.80 309656.02 293
COLMAP_ROBcopyleft2144.59 111658.33 2861869.33 2881025.33 2961030.00 3051023.00 3105311.00 305359.00 3023044.00 306937.00 2972892.00 305332.00 2961440.00 3072312.00 307607.00 291613.00 292
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ambc999.00 289999.00 298999.00 303999.00 245999.00 352999.00 298999.00 261999.00 344999.00 294999.00 274999.00 328999.00 325
OurMVSNet-221017-0999.00 269999.00 268999.00 289999.00 298999.00 303999.00 245999.00 352999.00 262999.00 298999.00 261999.00 344999.00 294999.00 274999.00 328999.00 325
EPMVS999.00 269999.00 268999.00 289999.00 298999.00 303999.00 245999.00 352999.00 262999.00 298999.00 261999.00 344999.00 294999.00 274999.00 328999.00 325
uanet_test1000.00 2711000.00 2701000.00 2921000.00 3011000.00 3061000.00 2481000.00 3551000.00 2641000.00 3011000.00 2641000.00 3471000.00 2971000.00 2771000.00 3311000.00 328
sosnet1000.00 2711000.00 2701000.00 2921000.00 3011000.00 3061000.00 2481000.00 3551000.00 2641000.00 3011000.00 2641000.00 3471000.00 2971000.00 2771000.00 3311000.00 328
USDC1000.00 2711000.00 2701000.00 2921000.00 3011000.00 3061000.00 2481000.00 3551000.00 2641000.00 3011000.00 2641000.00 3471000.00 2971000.00 2771000.00 3311000.00 328
TinyColmap1000.00 2711000.00 2701000.00 2921000.00 3011000.00 3061000.00 2481000.00 3551000.00 2641000.00 3011000.00 2641000.00 3471000.00 2971000.00 2771000.00 3311000.00 328
JIA-IIPM804.30 260835.64 253710.26 283885.90 293895.90 301455.98 223668.73 3411297.17 2731002.26 3051001.67 268655.98 329756.98 284667.90 259885.21 321477.90 287
RPMNet787.26 259829.13 252661.63 278885.90 293895.90 301455.98 223610.10 3361297.17 2731002.26 3051001.67 268655.98 329611.10 278667.90 259885.21 321477.90 287
F-COLMAP1878.17 2872113.11 2901173.33 3001231.00 3061174.00 3116297.00 308392.00 3073356.00 3091087.00 3073082.00 306361.00 3001670.00 3092523.00 309689.00 298676.00 297
PCF-MVS4335.85 202272.23 2932597.03 2961297.84 3011701.20 3151332.37 3128105.11 323451.45 3154031.84 3141099.10 3083966.50 313467.45 3081734.05 3112701.68 312848.94 318827.11 308
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CMPMVSbinary2623.62 151983.08 2892156.14 2911463.89 3101414.80 3121517.00 3165239.20 304867.40 3463310.30 3081128.70 3093489.90 308366.75 3012030.20 3212427.60 3081160.60 340844.46 310
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVScopyleft2352.88 132263.08 2922530.89 2951459.67 3091767.00 3231591.00 3197932.00 321399.00 3083643.00 3101176.00 3103569.00 310297.00 2911927.00 3173302.00 315693.00 303861.00 311
MVS-HIRNet2125.39 2902452.68 2931143.53 2982938.33 3531446.92 3156083.19 307391.74 3063801.71 3121202.10 3113439.72 307492.73 3101304.35 3063048.25 314676.32 297679.32 298
ZD-MVS1584.00 3131821.00 336378.00 3053721.00 3111231.00 3121833.00 293321.00 2951224.00 3052103.00 306692.00 302
DeepPCF-MVS3452.42 182670.71 3013021.57 3031618.12 3122377.67 3391751.39 3328915.70 328567.44 3344569.74 3211236.84 3134615.63 319513.23 3112291.32 3233515.48 319882.39 320811.66 304
PLCcopyleft2858.82 162192.92 2912474.00 2941349.67 3021407.00 3111356.00 3137164.00 313475.00 3193970.00 3131237.00 3143765.00 312451.00 3071891.00 3153006.00 313791.00 314802.00 302
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
Vis-MVSNetpermissive2877.42 3043170.00 3071999.67 3251673.00 3142042.00 3428593.00 326474.00 3186452.00 3381268.00 3155125.00 326339.00 2973004.00 3394222.00 329384.00 286953.00 321
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
DeepC-MVS3917.13 193155.06 3073601.83 3101814.72 3202515.52 3421941.53 33710432.50 343589.42 3354789.45 3221298.65 3167677.31 344578.35 3182589.53 3293611.78 321923.52 323913.10 316
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
test_0728_THIRD5016.02 3251363.85 3174894.28 323387.23 3022023.43 3183973.88 323620.04 294732.56 299
test07261725.60 3161598.35 3209203.30 329315.86 2965016.02 3251363.85 3174894.28 323387.23 302
SD-MVS2654.53 3003055.56 3051451.45 3071725.60 3161598.35 3209203.30 329315.86 2965016.02 3251363.85 3174894.28 323387.23 3022023.43 3183973.88 323620.04 294732.56 299
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
3Dnovator2482.06 142531.17 2972839.56 3001606.00 3111732.00 3191557.00 3188375.00 325483.00 3204370.00 3191371.00 3204200.00 314350.00 2982207.00 3223877.00 322798.00 3151054.00 332
SteuartSystems-ACMMP2891.50 3053284.78 3081711.67 3151954.00 3261655.00 32610117.00 342445.00 3145102.00 3281375.00 3215126.00 327351.00 2992638.00 3354402.00 330691.00 301842.00 309
Skip Steuart: Steuart Systems R&D Blog.
AdaColmapbinary2570.77 2992948.61 3021437.24 3061873.64 3251526.60 3177819.77 320373.97 3034970.45 3231479.29 3224648.46 320525.80 3131904.97 3164150.42 327695.69 304880.14 315
LF4IMVS2699.50 3023049.67 3041649.00 3131755.00 3201689.00 3278330.00 324464.00 3174997.00 3241528.00 3234763.00 322568.00 3172296.00 3244215.00 328827.00 317962.00 322
tpmrst2557.50 2982847.12 3011688.66 3141784.08 3241778.25 3337445.50 319342.14 2994471.54 3201534.55 3244382.10 318530.10 3142361.21 3254142.81 326991.22 326926.51 317
CHOSEN 280x4202340.81 2942643.03 2971434.14 3032025.55 3321629.36 3236542.40 309412.49 3094219.70 3161547.02 3254328.52 315650.74 3261798.26 3123333.17 316727.72 305874.79 312
CHOSEN 1792x26882340.81 2942643.03 2971434.14 3032025.55 3321629.36 3236542.40 309412.49 3094219.70 3161547.02 3254328.52 315650.74 3261798.26 3123333.17 316727.72 305874.79 312
HyFIR lowres test2340.81 2942643.03 2971434.14 3032025.55 3321629.36 3236542.40 309412.49 3094219.70 3161547.02 3254328.52 315650.74 3261798.26 3123333.17 316727.72 305874.79 312
DPM-MVS3268.00 3083762.89 3111783.33 3181756.00 3211806.00 33412319.00 345307.00 2946319.00 3361557.00 3285763.00 329302.00 2932609.00 3315061.00 334482.00 289935.00 319
OPM-MVS3268.00 3083762.89 3111783.33 3181756.00 3211806.00 33412319.00 345307.00 2946319.00 3361557.00 3285763.00 329302.00 2932609.00 3315061.00 334482.00 289935.00 319
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
EGC-MVSNET2819.75 3033096.89 3061988.33 3243105.00 3542241.00 3449480.00 333640.00 3404209.00 3151583.00 3304740.00 321547.00 3162797.00 3372644.00 311924.00 324927.00 318
tpm23617.85 3124007.23 3142449.73 3322012.71 3281698.05 3287351.19 315869.29 3476132.06 3311588.28 3318007.42 3471281.09 3533888.11 3517472.04 3521351.00 3421763.02 348
tpm cat13617.85 3124007.23 3142449.73 3322012.71 3281698.05 3287351.19 315869.29 3476132.06 3311588.28 3318007.42 3471281.09 3533888.11 3517472.04 3521351.00 3421763.02 348
CostFormer3617.85 3124007.23 3142449.73 3322012.71 3281698.05 3287351.19 315869.29 3476132.06 3311588.28 3318007.42 3471281.09 3533888.11 3517472.04 3521351.00 3421763.02 348
tpm3617.85 3124007.23 3142449.73 3322012.71 3281698.05 3287351.19 315869.29 3476132.06 3311588.28 3318007.42 3471281.09 3533888.11 3517472.04 3521351.00 3421763.02 348
DVP-MVS++3981.10 3184731.32 3231730.42 3162191.51 3351949.98 33816473.90 354355.33 3007172.90 3471622.98 3357879.79 345434.33 3052428.11 3275762.12 337689.04 299813.18 305
DVP-MVScopyleft3981.10 3184731.32 3231730.42 3162191.51 3351949.98 33816473.90 354355.33 3007172.90 3471622.98 3357879.79 345434.33 3052428.11 3275762.12 337689.04 299813.18 305
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
OpenMVS_ROBcopyleft1936.51 101959.51 2882224.88 2921163.39 2991253.91 3071434.22 3147065.71 312272.76 2922472.29 3031647.54 3373538.72 309200.37 2781496.48 3082575.17 310997.45 327559.48 289
TAPA-MVS6309.84 213374.90 3103806.99 3132078.63 3272535.47 3432499.25 3528816.16 327456.05 3166255.60 3351664.52 3386704.88 334629.95 3242768.38 3366343.93 348856.35 319968.25 323
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 3114065.89 3181914.35 3212349.10 3382141.30 34312362.70 347417.60 3136717.80 3421759.40 3396497.50 332518.18 3122629.38 3345164.32 336806.40 316972.38 324
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
3Dnovator+3414.41 173146.67 3063537.00 3091975.67 3222310.00 3372005.00 34110100.00 341626.00 3395753.00 3291803.00 3405179.00 328487.00 3092622.00 3334550.00 3311025.00 3351300.00 339
ITE_SJBPF2014.00 3261998.00 3271992.00 340701.00 3425989.00 3301812.00 3413612.00 311650.00 3252852.00 3384601.00 3321195.00 3411198.00 338
MVS_111021_HR3742.80 3164330.34 3191980.20 3232484.31 3412259.52 34514973.80 352515.90 3336500.13 3391949.21 3426146.89 331535.66 3152593.66 3304880.76 333986.37 3251087.43 333
FOURS12643.17 3442465.14 34713996.40 349493.26 3217619.38 3502107.24 343
PC_three_14527619.38 3502107.24 3437416.93 341610.24 3213088.29 3446075.14 3441078.39 3361159.26 334
test_one_06012643.17 3442465.14 347493.26 3217619.38 3502107.24 3437416.93 341610.24 321
SED-MVS4062.74 3214671.13 3222237.56 3282643.17 3442465.14 34713996.40 349493.26 3217619.38 3502107.24 3437416.93 341610.24 3213088.29 3446075.14 3441078.39 3361159.26 334
IU-MVS2725.60 3492598.35 353515.86 3297016.02 3432363.85 3475973.88 3401620.04 3481732.56 344
test_241102_TWO515.86 3297016.02 3432363.85 3476894.28 335887.23 3393023.43 3405973.88 3401620.04 3481732.56 344
test_241102_ONE2725.60 3492598.35 353515.86 3297016.02 3432363.85 3476894.28 335887.23 3393023.43 340
MSP-MVS4296.20 3224911.12 3262451.45 3362725.60 3492598.35 35316203.30 353515.86 3297016.02 3432363.85 3476894.28 335887.23 3393023.43 3405973.88 3401620.04 3481732.56 344
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
GST-MVS4000.00 3204533.33 3212400.00 3312400.00 3402400.00 3467200.00 3142400.00 3637200.00 3492400.00 3517200.00 3392400.00 3572400.00 3267200.00 3502400.00 3542400.00 353
MAR-MVS3973.16 3174387.92 3202728.86 3383345.27 3553341.39 35911403.90 344798.76 3446555.62 3412569.29 3526514.86 333834.97 3383237.43 3485891.08 3391577.54 3471607.76 340
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
API-MVS4380.83 3234906.56 3252803.67 3393844.00 3563116.00 35813454.00 348901.00 3516511.00 3402794.00 3537365.00 340754.00 3353634.00 3496622.00 3491914.00 3531661.00 343
OMC-MVS5022.26 3245748.82 3272842.58 3404905.27 3583101.27 35714933.60 351812.24 3459278.40 3542959.29 3548800.17 3511092.24 3513806.30 3507568.54 3561389.60 3461620.18 342
LS3D7684.71 3268776.23 3294410.16 3425298.55 3595631.53 36134329.90 3631504.57 36111554.00 3633896.41 35515111.00 360812.19 3365985.63 3563516.20 3202963.23 3551613.31 341
CLD-MVS7338.25 3258341.00 3284330.00 3414902.00 3574991.00 36023318.00 361728.00 34314437.00 3644378.00 35613379.00 359824.00 3375708.00 35511429.00 3651674.00 3522291.00 352
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MVEpermissive10021.00 2210550.67 33410002.44 33712195.33 3516242.00 3608768.00 36330896.00 3624451.00 36410331.00 3626247.00 35718296.00 361283.00 29021484.00 3657364.00 3515912.00 3576334.00 355
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 33511772.44 3387637.33 3439120.00 3618206.00 36222252.00 3602010.00 36224984.00 3657458.00 35822596.00 3622940.00 35810260.00 36411100.00 3643492.00 3564446.00 354
ZNCC-MVS9999.00 3279999.00 3309999.00 3449999.00 3629999.00 3649999.00 3349999.00 3679999.00 3559999.00 3599999.00 3529999.00 3609999.00 3579999.00 3579999.00 3589999.00 356
patch_mono-210000.00 32810000.00 33110000.00 34510000.00 36310000.00 36510000.00 33510000.00 36810000.00 35610000.00 36010000.00 35310000.00 36110000.00 35810000.00 35810000.00 35910000.00 357
dcpmvs_210000.00 32810000.00 33110000.00 34510000.00 36310000.00 36510000.00 33510000.00 36810000.00 35610000.00 36010000.00 35310000.00 36110000.00 35810000.00 35810000.00 35910000.00 357
DCPMVS10000.00 32810000.00 33110000.00 34510000.00 36310000.00 36510000.00 33510000.00 36810000.00 35610000.00 36010000.00 35310000.00 36110000.00 35810000.00 35810000.00 35910000.00 357
UA-Net10000.00 32810000.00 33110000.00 34510000.00 36310000.00 36510000.00 33510000.00 36810000.00 35610000.00 36010000.00 35310000.00 36110000.00 35810000.00 35810000.00 35910000.00 357
uncertanet10000.00 32810000.00 33110000.00 34510000.00 36310000.00 36510000.00 33510000.00 36810000.00 35610000.00 36010000.00 35310000.00 36110000.00 35810000.00 35810000.00 35910000.00 357
uanet10000.00 32810000.00 33110000.00 34510000.00 36310000.00 36510000.00 33510000.00 36810000.00 35610000.00 36010000.00 35310000.00 36110000.00 35810000.00 35810000.00 35910000.00 357
LTVRE_ROB20565.47 2323378.08 33622805.00 33925097.33 35215500.00 36919201.00 37142712.00 3646055.00 36538388.00 36616926.00 36638534.00 3637071.00 35935653.00 36629475.00 36610584.00 36520438.00 364
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 33734443.44 34027094.33 35329249.00 37025246.00 37251144.00 3656705.00 36642886.00 36722888.00 36748534.00 36413263.00 36737507.00 36779298.00 36716024.00 36618530.00 363
114514_t99999.00 33899999.00 34199999.00 35499999.00 37199999.00 37399999.00 36699999.00 37499999.00 36899999.00 36899999.00 36599999.00 36899999.00 36899999.00 36899999.00 36799999.00 365
PHI-MVS99999.00 33899999.00 34199999.00 35499999.00 37199999.00 37399999.00 36699999.00 37499999.00 36899999.00 36899999.00 36599999.00 36899999.00 36899999.00 36899999.00 36799999.00 365
XVG-OURS-SEG-HR999999.00 342999999.00 343999999.00 356999999.00 373999999.00 375999999.00 368999999.00 376999999.00 370999999.00 370999999.00 367999999.00 370999999.00 370999999.00 370999999.00 369999999.00 367
XVG-OURS999999.00 342999999.00 343999999.00 356999999.00 373999999.00 375999999.00 368999999.00 376999999.00 370999999.00 370999999.00 367999999.00 370999999.00 370999999.00 370999999.00 369999999.00 367
XVG-ACMP-BASELINE999999.00 342999999.00 343999999.00 356999999.00 373999999.00 375999999.00 368999999.00 376999999.00 370999999.00 370999999.00 367999999.00 370999999.00 370999999.00 370999999.00 369999999.00 367
MED-MVS test10000000.00 35910000000.00 37610000000.00 37821344.80 35610000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37210000000.00 370
MED-MVS9168445.40 3458891260.53 34810000000.00 35910000000.00 37610000000.00 37821344.80 35610000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
TestfortrainingZip a9168445.40 3458891260.53 34810000000.00 35910000000.00 37610000000.00 37821344.80 35610000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
mamba_040810000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
icg_test_0407_210000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
SSM_0407210000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
SSM_040710000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
IMVS_040710000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
IMVS_040410000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
SSM_040410000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
IMVS_040310000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
SD_040310000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
ME-MVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
NormalMVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
lecture10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
SymmetryMVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
Elysia10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
StellarMVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
KinetiMVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
LuminaMVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
VortexMVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
AstraMVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
guyue10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
sc_t110000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
tt0320-xc10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
tt032010000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
MVSMamba_PlusPlus10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
MGCFI-Net10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
sasdasda10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
dmvs_re10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
SDMVSNet10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
dmvs_testset10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
sd_testset10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
balanced_conf0310000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
MonoMVSNet10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
test250610000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
test111110000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
ECVR-MVScopyleft10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
test_blank10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
tt080510000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
Anonymous2024052110000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
cl2210000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
miper_ehance_all_eth10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
miper_enhance_ethall10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
cl____10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
DIV-MVS_self_test10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
eth_miper_zixun_eth10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
ET-MVSNet_ETH3D10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
UniMVSNet_ETH3D10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
miper_lstm_enhance10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
D2MVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
test_yl10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
thisisatest053010000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
Anonymous2024052910000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
Anonymous20240521110000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
DCV-MVSNet10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
tttt051710000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
our_test_310000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
thisisatest051510000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
ppachtmachnet_test10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
SMA-MVScopyleft10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
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 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part210000000.00 37610000000.00 37810000000.00 373
thres100view90010000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
tfpnnormal10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
tfpn200view910000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
c3_l10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
IterMVS-SCA-FT10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
pmmvs610000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
pmmvs510000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
Anonymous2023121110000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
pmmvs-eth3d10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
Anonymous2023120610000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
SCA10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
Patchmatch-test10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
Patchmatch-RL test10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
canonicalmvs10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
anonymousdsp10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
FIs10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
FC-MVSNet-test10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
sosnet-low-res10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
AllTest10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
TestCases10000000.00 35910000000.00 37610000000.00 37810000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
RRT-MVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
balanced_ft_v110000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
HPM-MVS++copyleft10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
XVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
pm-mvs110000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
X-MVStestdata10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
APDe-MVScopyleft10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
pmmvs410000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
test-LLR10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
TESTMET0.1,110000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
test-mter10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
testgi10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
test20.0310000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
thres600view710000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
MP-MVScopyleft10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
thres40010000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
test12310000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
thres20010000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
test0.0.03 110000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
pmmvs310000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
EMVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
E-PMN10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
PGM-MVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
MCST-MVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
MVS_Test10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
PMMVS210000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
PM-MVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
HQP_MVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
plane_prior310000000.00 37810000000.00 37310000000.00 373
mPP-MVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
mvsmamba10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
HPM-MVS_fast10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
HPM-MVScopyleft10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
LGP-MVS_train10000000.00 35910000000.00 37610000000.00 37810000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
EPNet_dtu10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP-NCC10000000.00 37610000000.00 37110000000.00 37310000000.00 373
ACMP_Plane10000000.00 37610000000.00 37110000000.00 37310000000.00 373
HQP4-MVS10000000.00 37310000000.00 37310000000.00 370
CNVR-MVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
NCCC10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
CP-MVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
CPTT-MVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
HQP-MVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
IS-MVSNet10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
PAPM_NR10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
PAPR10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
Vis-MVSNet (Re-imp)10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
PatchMatch-RL10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
TDRefinement10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
EPP-MVSNet10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
PMMVS10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
PAPM10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
ACMMPcopyleft10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
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 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
wuyk23d10000000.00 34710000000.00 35010000000.00 35910000000.00 37610000000.00 37810000000.00 37110000000.00 37910000000.00 37310000000.00 37310000000.00 37010000000.00 37310000000.00 37310000000.00 37310000000.00 37210000000.00 370
APD-MVScopyleft1000000000.00 4791000000000.00 4821000000000.00 4961000000000.00 5211000000000.00 5211000000000.00 5081000000000.00 5211000000000.00 5141000000000.00 5151000000000.00 5121000000000.00 5161000000000.00 5151000000000.00 5141000000000.00 5131000000000.00 511
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
TestfortrainingZip21344.80 356
WAC-MVS248.46 237422.23 230
MSC_two_6792asdad2237.56 3282643.17 3442465.14 347493.26 3213088.29 3446075.14 3441078.39 3361159.26 334
No_MVS2237.56 3282643.17 3442465.14 347493.26 3213088.29 3446075.14 3441078.39 3361159.26 334
eth-test21.42 130
eth-test10000000.00 376
OPU-MVS2451.45 3362725.60 3492598.35 3539203.30 3296894.28 335887.23 3393023.43 3405973.88 3401620.04 3481732.56 344
save fliter0.00 10.00 10.00 10.00 10.00 1
test_0728_SECOND1451.45 3071725.60 3161598.35 3209203.30 329315.86 2962023.43 3183973.88 323620.04 294732.56 299
GSMVS10000000.00 370
sam_mvs110000000.00 37310000000.00 370
sam_mvs10000000.00 373
MTGPAbinary10000000.00 379
test_post110000000.00 37110000000.00 37010000000.00 37310000000.00 37310000000.00 373
test_post10000000.00 37010000000.00 37310000000.00 373
patchmatchnet-post10000000.00 37010000000.00 37310000000.00 373
MTMP10000000.00 37110000000.00 379
gm-plane-assit611.29 273600.33 281579.21 230567.40 226531.67 261503.93 237
test9_res0.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
test_prior40.00 10.00 1
test_prior0.00 10.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
旧先验10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
无先验0.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM20.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
testdata10.00 10.00 1
plane_prior710000000.00 37610000000.00 378
plane_prior610000000.00 37610000000.00 37810000000.00 373
plane_prior510000000.00 37910000000.00 37310000000.00 37310000000.00 37210000000.00 370
plane_prior410000000.00 370
plane_prior210000000.00 37110000000.00 373
plane_prior110000000.00 376
plane_prior1.00 1242.00 1622.00 1632.00 161
n214.20 204
nn1.42 132
door-mid1.42 132
test111.00 125
door99.00 257
HQP5-MVS10000000.00 378
BP-MVS10000000.00 373
HQP3-MVS10000000.00 37910000000.00 372
HQP2-MVS10000000.00 373
NP-MVS10000000.00 37610000000.00 37810000000.00 370
ACMMP++_ref10000000.00 372
ACMMP++10000000.00 372
Test By Simon990.00 343