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 bysorted bysort bysort 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
save fliter0.00 10.00 10.00 10.00 10.00 1
MGCNet0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
train_agg0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
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_prior0.00 10.00 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
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
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
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+-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+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
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
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
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
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
test111.00 125
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
nn1.42 132
door-mid1.42 132
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
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
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
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
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
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
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
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
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
n214.20 204
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
lessismore_v0569.20 270667.25 287644.68 28796.45 253428.86 2621514.17 289204.21 282756.58 2831061.60 283197.79 260306.34 272
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
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
door99.00 257
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
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.
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
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
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.
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
OpenMVS_ROBcopyleft1936.51 101959.51 2882224.88 2921163.39 2991253.91 3071434.22 3147065.71 312272.76 2922472.29 3031647.54 3373538.72 310200.37 2781496.48 3082575.17 310997.45 327559.48 289
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)
DPM-MVS3268.00 3083762.89 3111783.33 3181756.00 3211806.00 33412319.00 345307.00 2946319.00 3371557.00 3285763.00 330302.00 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 3371557.00 3285763.00 330302.00 2932609.00 3315061.00 334482.00 289935.00 319
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
test_0728_SECOND1451.45 3071725.60 3161598.35 3209203.30 329315.86 2962023.43 3183973.88 323620.04 294732.56 299
test07261725.60 3161598.35 3209203.30 329315.86 2965016.02 3261363.85 3174894.28 324387.23 302
SD-MVS2654.53 3003055.56 3051451.45 3071725.60 3161598.35 3209203.30 329315.86 2965016.02 3261363.85 3174894.28 324387.23 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
tpmrst2557.50 2982847.12 3011688.66 3141784.08 3241778.25 3337445.50 319342.14 2994471.54 3211534.55 3244382.10 319530.10 3142361.21 3254142.81 326991.22 326926.51 317
DVP-MVS++3981.10 3184731.32 3231730.42 3162191.51 3351949.98 33816473.90 354355.33 3007172.90 3481622.98 3357879.79 346434.33 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 3481622.98 3357879.79 346434.33 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
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
AdaColmapbinary2570.77 2992948.61 3021437.24 3061873.64 3251526.60 3177819.77 320373.97 3034970.45 3241479.29 3224648.46 321525.80 3131904.97 3164150.42 327695.69 304880.14 315
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
ZD-MVS1584.00 3131821.00 336378.00 3053721.00 3121231.00 3121833.00 293321.00 2951224.00 3052103.00 306692.00 302
MVS-HIRNet2125.39 2902452.68 2931143.53 2982938.33 3531446.92 3156083.19 307391.74 3063801.71 3131202.10 3113439.72 308492.73 3101304.35 3063048.25 314676.32 297679.32 298
F-COLMAP1878.17 2872113.11 2901173.33 3001231.00 3061174.00 3116297.00 308392.00 3073356.00 3101087.00 3073082.00 306361.00 3001670.00 3092523.00 309689.00 298676.00 297
OpenMVScopyleft2352.88 132263.08 2922530.89 2951459.67 3091767.00 3231591.00 3197932.00 321399.00 3083643.00 3111176.00 3103569.00 311297.00 2911927.00 3173302.00 315693.00 303861.00 311
CHOSEN 280x4202340.81 2942643.03 2971434.14 3032025.55 3321629.36 3236542.40 309412.49 3094219.70 3171547.02 3254328.52 316650.74 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 3171547.02 3254328.52 316650.74 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 3171547.02 3254328.52 316650.74 3261798.26 3123333.17 316727.72 305874.79 312
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
TSAR-MVS + MP.3528.01 3114065.89 3181914.35 3212349.10 3382141.30 34312362.70 347417.60 3136717.80 3431759.40 3396497.50 333518.18 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
SteuartSystems-ACMMP2891.50 3053284.78 3081711.67 3151954.00 3261655.00 32610117.00 342445.00 3145102.00 3291375.00 3215126.00 328351.00 2992638.00 3354402.00 330691.00 301842.00 309
Skip Steuart: Steuart Systems R&D Blog.
PCF-MVS4335.85 202272.23 2932597.03 2961297.84 3011701.20 3151332.37 3128105.11 323451.45 3154031.84 3151099.10 3083966.50 314467.45 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
TAPA-MVS6309.84 213374.90 3103806.99 3132078.63 3272535.47 3432499.25 3528816.16 327456.05 3166255.60 3361664.52 3386704.88 335629.95 3242768.38 3366343.93 348856.35 319968.25 323
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
LF4IMVS2699.50 3023049.67 3041649.00 3131755.00 3201689.00 3278330.00 324464.00 3174997.00 3251528.00 3234763.00 323568.00 3172296.00 3244215.00 328827.00 317962.00 322
Vis-MVSNetpermissive2877.42 3043170.00 3071999.67 3251673.00 3142042.00 3428593.00 326474.00 3186452.00 3391268.00 3155125.00 327339.00 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
PLCcopyleft2858.82 162192.92 2912474.00 2941349.67 3021407.00 3111356.00 3137164.00 313475.00 3193970.00 3141237.00 3143765.00 313451.00 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
3Dnovator2482.06 142531.17 2972839.56 3001606.00 3111732.00 3191557.00 3188375.00 325483.00 3204370.00 3201371.00 3204200.00 315350.00 2982207.00 3223877.00 322798.00 3151054.00 332
FOURS12643.17 3442465.14 34713996.40 349493.26 3217619.38 3512107.24 343
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
test_one_06012643.17 3442465.14 347493.26 3217619.38 3512107.24 3437416.93 342610.24 321
SED-MVS4062.74 3214671.13 3222237.56 3282643.17 3442465.14 34713996.40 349493.26 3217619.38 3512107.24 3437416.93 342610.24 3213088.29 3446075.14 3441078.39 3361159.26 334
FPMVS1407.00 2841495.59 2861141.23 297648.01 286893.85 3004124.00 299503.81 3263219.04 308742.72 2942498.84 303157.98 2581727.83 310832.93 268732.98 308802.00 302
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
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
IU-MVS2725.60 3492598.35 353515.86 3297016.02 3442363.85 3475973.88 3401620.04 3481732.56 344
test_241102_TWO515.86 3297016.02 3442363.85 3476894.28 336887.23 3393023.43 3405973.88 3401620.04 3481732.56 344
test_241102_ONE2725.60 3492598.35 353515.86 3297016.02 3442363.85 3476894.28 336887.23 3393023.43 340
MSP-MVS4296.20 3224911.12 3262451.45 3362725.60 3492598.35 35316203.30 353515.86 3297016.02 3442363.85 3476894.28 336887.23 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
MVS_111021_HR3742.80 3164330.34 3191980.20 3232484.31 3412259.52 34514973.80 352515.90 3336500.13 3401949.21 3426146.89 332535.66 3152593.66 3304880.76 333986.37 3251087.43 333
DeepPCF-MVS3452.42 182670.71 3013021.57 3031618.12 3122377.67 3391751.39 3328915.70 328567.44 3344569.74 3221236.84 3134615.63 320513.23 3112291.32 3233515.48 319882.39 320811.66 304
DeepC-MVS3917.13 193155.06 3073601.83 3101814.72 3202515.52 3421941.53 33710432.50 343589.42 3354789.45 3231298.65 3167677.31 345578.35 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
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
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
3Dnovator+3414.41 173146.67 3063537.00 3091975.67 3222310.00 3372005.00 34110100.00 341626.00 3395753.00 3301803.00 3405179.00 329487.00 3092622.00 3334550.00 3311025.00 3351300.00 339
EGC-MVSNET2819.75 3033096.89 3061988.33 3243105.00 3542241.00 3449480.00 333640.00 3404209.00 3161583.00 3304740.00 322547.00 3162797.00 3372644.00 311924.00 324927.00 318
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
ITE_SJBPF2014.00 3261998.00 3271992.00 340701.00 3425989.00 3311812.00 3413612.00 312650.00 3252852.00 3384601.00 3321195.00 3411198.00 338
CLD-MVS7338.25 3258341.00 3284330.00 3424902.00 3584991.00 36123318.00 361728.00 34314437.00 3654378.00 35713379.00 360824.00 3375708.00 35611429.00 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
MAR-MVS3973.16 3174387.92 3202728.86 3383345.27 3563341.39 36011403.90 344798.76 3446555.62 3422569.29 3526514.86 334834.97 3383237.43 3495891.08 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
OMC-MVS5022.26 3245748.82 3272842.58 3404905.27 3593101.27 35714933.60 351812.24 3459278.40 3552959.29 3548800.17 3521092.24 3513806.30 3517568.54 3561389.60 3461620.18 342
CMPMVSbinary2623.62 151983.08 2892156.14 2911463.89 3101414.80 3121517.00 3165239.20 304867.40 3463310.30 3091128.70 3093489.90 309366.75 3012030.20 3212427.60 3081160.60 340844.46 310
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
tpm23617.85 3124007.23 3142449.73 3322012.71 3281698.05 3287351.19 315869.29 3476132.06 3321588.28 3318007.42 3481281.09 3533888.11 3527472.04 3521351.00 3421763.02 348
tpm cat13617.85 3124007.23 3142449.73 3322012.71 3281698.05 3287351.19 315869.29 3476132.06 3321588.28 3318007.42 3481281.09 3533888.11 3527472.04 3521351.00 3421763.02 348
CostFormer3617.85 3124007.23 3142449.73 3322012.71 3281698.05 3287351.19 315869.29 3476132.06 3321588.28 3318007.42 3481281.09 3533888.11 3527472.04 3521351.00 3421763.02 348
tpm3617.85 3124007.23 3142449.73 3322012.71 3281698.05 3287351.19 315869.29 3476132.06 3321588.28 3318007.42 3481281.09 3533888.11 3527472.04 3521351.00 3421763.02 348
API-MVS4380.83 3234906.56 3252803.67 3393844.00 3573116.00 35813454.00 348901.00 3516511.00 3412794.00 3537365.00 341754.00 3353634.00 3506622.00 3491914.00 3531661.00 343
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
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
LS3D7684.71 3268776.23 3294410.16 3435298.55 3605631.53 36234329.90 3631504.57 36111554.00 3643896.41 35615111.00 361812.19 3365985.63 3573516.20 3202963.23 3551613.31 341
CNLPA10738.67 33511772.44 3387637.33 3449120.00 3628206.00 36322252.00 3602010.00 36224984.00 3667458.00 35922596.00 3632940.00 35810260.00 36511100.00 3643492.00 3574446.00 355
GST-MVS4000.00 3204533.33 3212400.00 3312400.00 3402400.00 3467200.00 3142400.00 3637200.00 3502400.00 3517200.00 3402400.00 3572400.00 3267200.00 3502400.00 3542400.00 353
TestfortrainingZip3151.39 3413151.39 3553151.39 35921344.80 3563151.39 3643151.39 3073151.39 3553151.39 3073151.39 3593151.39 3483151.39 3563151.39 354
MVEpermissive10021.00 2210550.67 33410002.44 33712195.33 3526242.00 3618768.00 36430896.00 3624451.00 36510331.00 3636247.00 35818296.00 362283.00 29021484.00 3667364.00 3515912.00 3586334.00 356
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
LTVRE_ROB20565.47 2323378.08 33622805.00 33925097.33 35315500.00 37019201.00 37242712.00 3646055.00 36638388.00 36716926.00 36738534.00 3647071.00 36035653.00 36729475.00 36610584.00 36620438.00 365
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 35429249.00 37125246.00 37351144.00 3656705.00 36742886.00 36822888.00 36848534.00 36513263.00 36837507.00 36879298.00 36716024.00 36718530.00 364
ZNCC-MVS9999.00 3279999.00 3309999.00 3459999.00 3639999.00 3659999.00 3349999.00 3689999.00 3569999.00 3609999.00 3539999.00 3619999.00 3589999.00 3579999.00 3599999.00 357
patch_mono-210000.00 32810000.00 33110000.00 34610000.00 36410000.00 36610000.00 33510000.00 36910000.00 35710000.00 36110000.00 35410000.00 36210000.00 35910000.00 35810000.00 36010000.00 358
dcpmvs_210000.00 32810000.00 33110000.00 34610000.00 36410000.00 36610000.00 33510000.00 36910000.00 35710000.00 36110000.00 35410000.00 36210000.00 35910000.00 35810000.00 36010000.00 358
DCPMVS10000.00 32810000.00 33110000.00 34610000.00 36410000.00 36610000.00 33510000.00 36910000.00 35710000.00 36110000.00 35410000.00 36210000.00 35910000.00 35810000.00 36010000.00 358
UA-Net10000.00 32810000.00 33110000.00 34610000.00 36410000.00 36610000.00 33510000.00 36910000.00 35710000.00 36110000.00 35410000.00 36210000.00 35910000.00 35810000.00 36010000.00 358
uncertanet10000.00 32810000.00 33110000.00 34610000.00 36410000.00 36610000.00 33510000.00 36910000.00 35710000.00 36110000.00 35410000.00 36210000.00 35910000.00 35810000.00 36010000.00 358
uanet10000.00 32810000.00 33110000.00 34610000.00 36410000.00 36610000.00 33510000.00 36910000.00 35710000.00 36110000.00 35410000.00 36210000.00 35910000.00 35810000.00 36010000.00 358
114514_t99999.00 33899999.00 34199999.00 35599999.00 37299999.00 37499999.00 36699999.00 37599999.00 36999999.00 36999999.00 36699999.00 36999999.00 36999999.00 36899999.00 36899999.00 366
PHI-MVS99999.00 33899999.00 34199999.00 35599999.00 37299999.00 37499999.00 36699999.00 37599999.00 36999999.00 36999999.00 36699999.00 36999999.00 36999999.00 36899999.00 36899999.00 366
XVG-OURS-SEG-HR999999.00 342999999.00 343999999.00 357999999.00 374999999.00 376999999.00 368999999.00 377999999.00 371999999.00 371999999.00 368999999.00 371999999.00 371999999.00 370999999.00 370999999.00 368
XVG-OURS999999.00 342999999.00 343999999.00 357999999.00 374999999.00 376999999.00 368999999.00 377999999.00 371999999.00 371999999.00 368999999.00 371999999.00 371999999.00 370999999.00 370999999.00 368
XVG-ACMP-BASELINE999999.00 342999999.00 343999999.00 357999999.00 374999999.00 376999999.00 368999999.00 377999999.00 371999999.00 371999999.00 368999999.00 371999999.00 371999999.00 370999999.00 370999999.00 368
MED-MVS test10000000.00 36010000000.00 37710000000.00 37921344.80 35610000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37310000000.00 37310000000.00 371
MED-MVS9168445.40 3458891260.53 34810000000.00 36010000000.00 37710000000.00 37921344.80 35610000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
TestfortrainingZip a9168445.40 3458891260.53 34810000000.00 36010000000.00 37710000000.00 37921344.80 35610000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
mamba_040810000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
icg_test_0407_210000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
SSM_0407210000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
SSM_040710000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
IMVS_040710000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
IMVS_040410000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
SSM_040410000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
IMVS_040310000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
SD_040310000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
ME-MVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
NormalMVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
lecture10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
SymmetryMVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
Elysia10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
StellarMVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
KinetiMVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
LuminaMVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
VortexMVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
AstraMVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
guyue10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
sc_t110000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
tt0320-xc10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
tt032010000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
MVSMamba_PlusPlus10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
MGCFI-Net10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
sasdasda10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
dmvs_re10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
SDMVSNet10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
dmvs_testset10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
sd_testset10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
balanced_conf0310000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
MonoMVSNet10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
test250610000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
test111110000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
ECVR-MVScopyleft10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
test_blank10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
tt080510000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
Anonymous2024052110000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
cl2210000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
miper_ehance_all_eth10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
miper_enhance_ethall10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
cl____10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
DIV-MVS_self_test10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
eth_miper_zixun_eth10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
ET-MVSNet_ETH3D10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
UniMVSNet_ETH3D10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
miper_lstm_enhance10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
D2MVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
test_yl10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
thisisatest053010000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
Anonymous2024052910000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
Anonymous20240521110000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
DCV-MVSNet10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
tttt051710000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
our_test_310000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
thisisatest051510000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
ppachtmachnet_test10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
SMA-MVScopyleft10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
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 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
tfpnnormal10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
tfpn200view910000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
c3_l10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
IterMVS-SCA-FT10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
MTGPAbinary10000000.00 380
pmmvs610000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
pmmvs510000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
Anonymous2023121110000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
pmmvs-eth3d10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
Anonymous2023120610000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
MTAPA833442.10 3411111233.77 34767.09 19765.59 20464.81 207284.50 20610000000.00 380219.97 20959.62 205229.89 21312.72 198103.00 218203.67 21927.93 19833.46 197
MTMP10000000.00 37110000000.00 380
SCA10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
Patchmatch-test10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
Patchmatch-RL test10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
canonicalmvs10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
anonymousdsp10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
FIs10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
FC-MVSNet-test10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
sosnet-low-res10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
AllTest10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
TestCases10000000.00 36010000000.00 37710000000.00 37910000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
RRT-MVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
balanced_ft_v110000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
HPM-MVS++copyleft10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
XVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
pm-mvs110000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
X-MVStestdata10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
APDe-MVScopyleft10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
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 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
pmmvs410000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
test-LLR10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
TESTMET0.1,110000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
test-mter10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
testgi10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
test20.0310000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
thres600view710000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
MP-MVScopyleft10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
thres40010000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
test12310000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
thres20010000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
test0.0.03 110000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
pmmvs310000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
EMVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
E-PMN10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
PGM-MVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
MCST-MVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
MVS_Test10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
PMMVS210000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
PM-MVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
HQP_MVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
plane_prior510000000.00 38010000000.00 37410000000.00 37310000000.00 37310000000.00 371
mPP-MVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
mvsmamba10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
HPM-MVS_fast10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
HPM-MVScopyleft10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
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 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
LGP-MVS_train10000000.00 36010000000.00 37710000000.00 37910000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
EPNet_dtu10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP3-MVS10000000.00 38010000000.00 373
CNVR-MVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
NCCC10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
CP-MVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
CPTT-MVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
HQP-MVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
IS-MVSNet10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
PAPM_NR10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
PAPR10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
Vis-MVSNet (Re-imp)10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
PatchMatch-RL10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
TDRefinement10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
EPP-MVSNet10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
PMMVS10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
PAPM10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
ACMMPcopyleft10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
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 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
wuyk23d10000000.00 34710000000.00 35010000000.00 36010000000.00 37710000000.00 37910000000.00 37110000000.00 38010000000.00 37410000000.00 37410000000.00 37110000000.00 37410000000.00 37410000000.00 37310000000.00 37310000000.00 371
APD-MVScopyleft1000000000.00 4791000000000.00 4821000000000.00 4971000000000.00 5221000000000.00 5221000000000.00 5081000000000.00 5221000000000.00 5151000000000.00 5161000000000.00 5131000000000.00 5171000000000.00 5161000000000.00 5141000000000.00 5141000000000.00 512
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
WAC-MVS248.46 237422.23 230
PC_three_14527619.38 3512107.24 3437416.93 342610.24 3213088.29 3446075.14 3441078.39 3361159.26 334
eth-test21.42 130
eth-test10000000.00 377
OPU-MVS2451.45 3362725.60 3492598.35 3539203.30 3296894.28 336887.23 3393023.43 3405973.88 3401620.04 3481732.56 344
test_0728_THIRD5016.02 3261363.85 3174894.28 324387.23 3022023.43 3183973.88 323620.04 294732.56 299
GSMVS10000000.00 371
test_part210000000.00 37710000000.00 37910000000.00 374
sam_mvs110000000.00 37410000000.00 371
sam_mvs10000000.00 374
test_post110000000.00 37110000000.00 37110000000.00 37410000000.00 37410000000.00 373
test_post10000000.00 37110000000.00 37410000000.00 374
patchmatchnet-post10000000.00 37110000000.00 37410000000.00 374
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_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20.00 1
原ACMM20.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
testdata10.00 10.00 1
plane_prior710000000.00 37710000000.00 379
plane_prior610000000.00 37710000000.00 37910000000.00 374
plane_prior410000000.00 371
plane_prior310000000.00 37910000000.00 37410000000.00 374
plane_prior210000000.00 37110000000.00 374
plane_prior110000000.00 377
plane_prior1.00 1242.00 1622.00 1632.00 161
HQP5-MVS10000000.00 379
HQP-NCC10000000.00 37710000000.00 37110000000.00 37410000000.00 374
ACMP_Plane10000000.00 37710000000.00 37110000000.00 37410000000.00 374
BP-MVS10000000.00 373
HQP4-MVS10000000.00 37410000000.00 37410000000.00 371
HQP2-MVS10000000.00 374
NP-MVS10000000.00 37710000000.00 37910000000.00 371
MDTV_nov1_ep13_2view9.99 1849.99 1829.99 1839.99 1829.99 1849.99 1809.99 183
ACMMP++_ref10000000.00 373
ACMMP++10000000.00 373
Test By Simon990.00 343