High-resolution multi-view benchmark

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

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

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

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

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




Method Infoallhigh-res
multi-view		indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort by
wanda-best-256-5120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_dtu_shiyan20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_dtu_shiyan10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blended_shiyan80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E5new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-blended-shiyan70.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E6new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blended_shiyan60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
usedtu_blend_shiyan50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
blend_shiyan40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E3new0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
E30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_100.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt070.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt090.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt130.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewcassd2359sk110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewdifsd2359ckpt110.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmacassd2359aftdt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmsd2359difaftdt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
diffmvs_AUTHOR0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
FE-MVSNET0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmambaseed2359dif0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
viewmanbaseed2359cas0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_70.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_60.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_50.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_40.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n_20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_l_conf0.5_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n_a0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
fmvsm_s_conf0.5_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf0.1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf0.01_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmconf_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsmvis_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvsm_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_cas_vis1_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_n_19200.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs1_n0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
mvsany_test10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
APD_test10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis1_rt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_vis3_rt0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_fmvs30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
mvsany_test30.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testf10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
APD_test20.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_f0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
SF-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
9.140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MGCNet0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
train_agg0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
agg_prior0.00 10.00 10.00 10.00 10.00 1
HFP-MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
region2R0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_prior20.00 10.00 10.00 10.00 10.00 10.00 10.00 1
旧先验20.00 10.00 10.00 10.00 10.00 1
新几何10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test2220.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
13140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
QAPM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
h-mvs330.30 780.30 790.30 830.30 900.30 900.30 900.30 910.30 900.30 890.30 870.30 890.30 900.30 880.30 880.30 88
hse-mvs20.30 780.30 790.30 830.30 900.30 900.30 900.30 910.30 900.30 890.30 870.30 890.30 900.30 880.30 880.30 88
CL-MVSNet_self_test0.30 780.30 790.30 830.30 900.30 900.30 900.30 910.30 900.30 890.30 870.30 890.30 900.30 880.30 880.30 88
AUN-MVS0.30 780.30 790.30 830.30 900.30 900.30 900.30 910.30 900.30 890.30 870.30 890.30 900.30 880.30 880.30 88
LCM-MVSNet0.37 820.36 830.37 870.37 940.37 940.37 940.32 950.37 940.37 930.37 910.37 930.37 940.37 920.37 920.37 92
v1441920.40 830.40 840.40 880.40 950.40 950.40 950.40 970.40 950.40 940.40 920.40 940.40 950.40 930.40 930.40 93
v19219200.40 830.40 840.40 880.40 950.40 950.40 950.40 970.40 950.40 940.40 920.40 940.40 950.40 930.40 930.40 93
v11920.40 830.40 840.40 880.40 950.40 950.40 950.40 970.40 950.40 940.40 920.40 940.40 950.40 930.40 930.40 93
v11440.40 830.40 840.40 880.40 950.40 950.40 950.40 970.40 950.40 940.40 920.40 940.40 950.40 930.40 930.40 93
v1480.40 830.40 840.40 880.40 950.40 950.40 950.40 970.40 950.40 940.40 920.40 940.40 950.40 930.40 930.40 93
v7n0.40 830.40 840.40 880.40 950.40 950.40 950.40 970.40 950.40 940.40 920.40 940.40 950.40 930.40 930.40 93
v12400.40 830.40 840.40 880.40 950.40 950.40 950.40 970.40 950.40 940.40 920.40 940.40 950.40 930.40 930.40 93
v80.40 830.40 840.40 880.40 950.40 950.40 950.40 970.40 950.40 940.40 920.40 940.40 950.40 930.40 930.40 93
v100.40 830.40 840.40 880.40 950.40 950.40 950.40 970.40 950.40 940.40 920.40 940.40 950.40 930.40 930.40 93
v2v4820.40 830.40 840.40 880.40 950.40 950.40 950.40 970.40 950.40 940.40 920.40 940.40 950.40 930.40 930.40 93
V420.40 830.40 840.40 880.40 950.40 950.40 950.40 970.40 950.40 940.40 920.40 940.40 950.40 930.40 930.40 93
GA-MVS0.40 830.40 840.40 880.40 950.40 950.40 950.40 970.40 950.40 940.40 920.40 940.40 950.40 930.40 930.40 93
Fast-Effi-MVS+0.41 950.40 840.41 1000.41 1070.41 1070.41 1070.35 960.41 1070.41 1060.41 1040.41 1060.41 1070.41 1050.41 1050.41 105
Fast-Effi-MVS+-dtu0.44 960.44 970.44 1010.44 1080.44 1080.44 1080.44 1090.44 1080.44 1070.44 1050.44 1070.44 1080.44 1060.44 1060.44 106
Effi-MVS+-dtu0.59 980.61 1000.53 1020.68 1160.53 1090.53 1090.68 1170.68 1160.53 1080.53 1060.68 1150.53 1090.68 1140.53 1070.53 107
KD-MVS_self_test0.60 990.60 990.60 1030.60 1100.60 1100.60 1110.60 1110.60 1100.60 1090.60 1070.60 1090.60 1100.60 1070.60 1090.60 108
EIA-MVS0.62 1000.62 1010.62 1040.62 1110.62 1110.62 1120.62 1120.62 1110.62 1100.62 1080.62 1100.62 1110.62 1080.62 1100.62 109
ETV-MVS0.62 1000.62 1010.62 1040.62 1110.62 1110.62 1120.62 1120.62 1110.62 1100.62 1080.62 1100.62 1110.62 1080.62 1100.62 109
CS-MVS0.62 1000.62 1010.62 1040.62 1110.62 1110.62 1120.62 1120.62 1110.62 1100.62 1080.62 1100.62 1110.62 1080.62 1100.62 109
SPE-MVS-test0.62 1000.62 1010.62 1040.62 1110.62 1110.62 1120.62 1120.62 1110.62 1100.62 1080.62 1100.62 1110.62 1080.62 1100.62 109
Effi-MVS+0.58 970.56 980.62 1040.53 1090.62 1110.53 1090.53 1100.53 1090.62 1100.62 1080.53 1080.62 1110.62 1080.53 1070.62 109
EC-MVSNet0.62 1000.62 1010.62 1040.62 1110.62 1110.62 1120.62 1120.62 1110.62 1100.62 1080.62 1100.62 1110.62 1080.62 1100.62 109
CDS-MVSNet0.88 1050.88 1060.88 1100.88 1170.88 1170.88 1170.88 1180.88 1170.88 1160.88 1140.88 1160.88 1170.88 1150.88 1150.88 115
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 1050.88 1060.88 1100.88 1170.88 1170.88 1170.88 1180.88 1170.88 1160.88 1140.88 1160.88 1170.88 1150.88 1150.88 115
LCM-MVSNet-Re0.89 1070.89 1080.89 1120.89 1190.89 1190.89 1190.89 1200.89 1190.89 1180.89 1160.89 1180.89 1190.89 1170.89 1170.89 117
DeepMVS_CXcopyleft1.00 1131.00 1201.00 1201.00 1211.00 1201.00 1191.00 1171.00 1191.00 1201.00 1181.00 1181.00 118
MDA-MVSNet-bldmvs1.20 1081.20 1091.20 1141.20 1211.20 1221.20 1201.20 1231.20 1211.20 1201.20 1181.20 1201.20 1211.20 1191.20 1191.20 119
YYNet11.20 1081.20 1091.20 1141.20 1211.20 1221.20 1201.20 1231.20 1211.20 1201.20 1181.20 1201.20 1211.20 1191.20 1191.20 119
MDA-MVSNet_test_wron1.20 1081.20 1091.20 1141.20 1211.20 1221.20 1201.20 1231.20 1211.20 1201.20 1181.20 1201.20 1211.20 1191.20 1191.20 119
KD-MVS_2432*16001.30 1111.30 1121.30 1171.30 1241.30 1251.30 1231.30 1261.30 1241.30 1231.30 1211.30 1231.30 1241.30 1221.30 1221.30 122
miper_refine_blended1.30 1111.30 1121.30 1171.30 1241.30 1251.30 1231.30 1261.30 1241.30 1231.30 1211.30 1231.30 1241.30 1221.30 1221.30 122
EI-MVSNet-UG-set1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
EI-MVSNet-Vis-set1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
EI-MVSNet1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
Regformer1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
CVMVSNet1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
EU-MVSNet1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
PS-CasMVS1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
UniMVSNet_NR-MVSNet1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
PEN-MVS1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
TransMVSNet (Re)1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
DTE-MVSNet1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
DU-MVS1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
UniMVSNet (Re)1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
CP-MVSNet1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
WR-MVS_H1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
WR-MVS1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
NR-MVSNet1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
Baseline_NR-MVSNet1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
TranMVSNet+NR-MVSNet1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
MVSFormer1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
jason1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
jason: jason.
lupinMVS1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
test_djsdf1.42 1131.42 1141.42 1191.42 1261.42 1271.42 1251.42 1281.42 1261.42 1251.42 1231.42 1251.42 1261.42 1241.42 1241.42 124
reproduce_monomvs1.48 1361.48 1371.48 1421.48 1501.48 1501.48 1481.48 1531.48 1491.48 1481.48 1461.48 1481.48 1491.48 1471.48 1471.48 147
mmtdpeth1.48 1361.48 1371.48 1421.48 1501.48 1501.48 1481.48 1531.48 1491.48 1481.48 1461.48 1481.48 1491.48 1471.48 1471.48 147
reproduce_model1.48 1361.48 1371.48 1421.48 1501.48 1501.48 1481.48 1531.48 1491.48 1481.48 1461.48 1481.48 1491.48 1471.48 1471.48 147
reproduce-ours1.48 1361.48 1371.48 1421.48 1501.48 1501.48 1481.48 1531.48 1491.48 1481.48 1461.48 1481.48 1491.48 1471.48 1471.48 147
our_new_method1.48 1361.48 1371.48 1421.48 1501.48 1501.48 1481.48 1531.48 1491.48 1481.48 1461.48 1481.48 1491.48 1471.48 1471.48 147
mmdepth1.48 1361.48 1371.48 1421.48 1501.48 1501.48 1481.48 1531.48 1491.48 1481.48 1461.48 1481.48 1491.48 1471.48 1471.48 147
monomultidepth1.48 1361.48 1371.48 1421.48 1501.48 1501.48 1481.48 1531.48 1491.48 1481.48 1461.48 1481.48 1491.48 1471.48 1471.48 147
mvs5depth1.48 1361.48 1371.48 1421.48 1501.48 1501.48 1481.48 1531.48 1491.48 1481.48 1461.48 1481.48 1491.48 1471.48 1471.48 147
MVStest11.48 1361.48 1371.48 1421.48 1501.48 1501.48 1481.48 1531.48 1491.48 1481.48 1461.48 1481.48 1491.48 1471.48 1471.48 147
ttmdpeth1.48 1361.48 1371.48 1421.48 1501.48 1501.48 1481.48 1531.48 1491.48 1481.48 1461.48 1481.48 1491.48 1471.48 1471.48 147
alignmvs2.00 1462.00 1472.00 1522.00 1602.00 1602.00 1582.00 1632.00 1592.00 1582.00 1562.00 1582.00 1592.00 1572.00 1572.00 157
nrg0302.00 1462.00 1472.00 1522.00 1602.00 1602.00 1582.00 1632.00 1592.00 1582.00 1562.00 1582.00 1592.00 1572.00 1572.00 157
LFMVS2.00 1462.00 1472.00 1522.00 1602.00 1602.00 1582.00 1632.00 1592.00 1582.00 1562.00 1582.00 1592.00 1572.00 1572.00 157
VDD-MVS2.00 1462.00 1472.00 1522.00 1602.00 1602.00 1582.00 1632.00 1592.00 1582.00 1562.00 1582.00 1592.00 1572.00 1572.00 157
VDDNet2.00 1462.00 1472.00 1522.00 1602.00 1602.00 1582.00 1632.00 1592.00 1582.00 1562.00 1582.00 1592.00 1572.00 1572.00 157
VPNet2.00 1462.00 1472.00 1522.00 1602.00 1602.00 1582.00 1632.00 1592.00 1582.00 1562.00 1582.00 1592.00 1572.00 1572.00 157
VNet2.00 1462.00 1472.00 1522.00 1602.00 1602.00 1582.00 1632.00 1592.00 1582.00 1562.00 1582.00 1592.00 1572.00 1572.00 157
VPA-MVSNet2.00 1462.00 1472.00 1522.00 1602.00 1602.00 1582.00 1632.00 1592.00 1582.00 1562.00 1582.00 1592.00 1572.00 1572.00 157
cascas2.00 1462.00 1472.00 1522.00 1602.00 1602.00 1582.00 1632.00 1592.00 1582.00 1562.00 1582.00 1592.00 1572.00 1572.00 157
UnsupCasMVSNet_eth5.90 1555.90 1565.90 1615.90 1695.90 1695.90 1685.90 1755.90 1695.90 1675.90 1655.90 1695.90 1685.90 1665.90 1695.90 169
UnsupCasMVSNet_bld5.90 1555.90 1565.90 1615.90 1695.90 1695.90 1685.90 1755.90 1695.90 1675.90 1655.90 1695.90 1685.90 1665.90 1695.90 169
WTY-MVS5.90 1555.90 1565.90 1615.90 1695.90 1695.90 1685.90 1755.90 1695.90 1675.90 1655.90 1695.90 1685.90 1665.90 1695.90 169
HY-MVS5.90 15.90 1555.90 1565.90 1615.90 1695.90 1695.90 1685.90 1755.90 1695.90 1675.90 1655.90 1695.90 1685.90 1665.90 1695.90 169
sss5.90 1555.90 1565.90 1615.90 1695.90 1695.90 1685.90 1755.90 1695.90 1675.90 1655.90 1695.90 1685.90 1665.90 1695.90 169
Test_1112_low_res5.90 1555.90 1565.90 1615.90 1695.90 1695.90 1685.90 1755.90 1695.90 1675.90 1655.90 1695.90 1685.90 1665.90 1695.90 169
1112_ss5.90 1555.90 1565.90 1615.90 1695.90 1695.90 1685.90 1755.90 1695.90 1675.90 1655.90 1695.90 1685.90 1665.90 1695.90 169
ab-mvs-re5.90 1555.90 1565.90 1615.90 1695.90 1695.90 1685.90 1755.90 1695.90 1675.90 1655.90 1695.90 1685.90 1665.90 1695.90 169
ab-mvs5.90 1555.90 1565.90 1615.90 1695.90 1695.90 1685.90 1755.90 1695.90 1675.90 1655.90 1695.90 1685.90 1665.90 1695.90 169
CDPH-MVS6.66 1646.66 1656.66 1706.66 1786.66 1786.66 1776.66 1846.66 1786.66 1766.66 1746.66 1786.66 1776.66 1756.66 1786.66 178
dp87.20 184113.80 1887.42 17110.50 1908.88 179298.82 2052.70 172510.35 2247.79 177172.93 1983.37 1679.16 17814.00 1893.71 1674.23 167
MDTV_nov1_ep13_2view9.99 1809.99 1789.99 1799.99 1789.99 1809.99 1769.99 179
MDTV_nov1_ep139.99 1669.99 1799.99 1809.99 1789.99 1869.99 1799.99 1789.99 1759.99 1809.99 1799.99 1769.99 180
xiu_mvs_v1_base_debu10.28 16510.28 16710.28 17210.28 18010.28 18210.28 18010.28 18710.28 18110.28 18010.28 17610.28 18210.28 18010.28 17810.28 18110.28 180
xiu_mvs_v2_base10.28 16510.28 16710.28 17210.28 18010.28 18210.28 18010.28 18710.28 18110.28 18010.28 17610.28 18210.28 18010.28 17810.28 18110.28 180
xiu_mvs_v1_base10.28 16510.28 16710.28 17210.28 18010.28 18210.28 18010.28 18710.28 18110.28 18010.28 17610.28 18210.28 18010.28 17810.28 18110.28 180
xiu_mvs_v1_base_debi10.28 16510.28 16710.28 17210.28 18010.28 18210.28 18010.28 18710.28 18110.28 18010.28 17610.28 18210.28 18010.28 17810.28 18110.28 180
cdsmvs_eth3d_5k10.28 16510.28 16710.28 17210.28 18010.28 18210.28 18010.28 18710.28 18110.28 18010.28 17610.28 18210.28 18010.28 17810.28 18110.28 180
pcd_1.5k_mvsjas10.28 16510.28 16710.28 17210.28 18010.28 18210.28 18010.28 18710.28 18110.28 18010.28 17610.28 18210.28 18010.28 17810.28 18110.28 180
PS-MVSNAJss10.28 16510.28 16710.28 17210.28 18010.28 18210.28 18010.28 18710.28 18110.28 18010.28 17610.28 18210.28 18010.28 17810.28 18110.28 180
PS-MVSNAJ10.28 16510.28 16710.28 17210.28 18010.28 18210.28 18010.28 18710.28 18110.28 18010.28 17610.28 18210.28 18010.28 17810.28 18110.28 180
jajsoiax10.28 16510.28 16710.28 17210.28 18010.28 18210.28 18010.28 18710.28 18110.28 18010.28 17610.28 18210.28 18010.28 17810.28 18110.28 180
mvs_tets10.28 16510.28 16710.28 17210.28 18010.28 18210.28 18010.28 18710.28 18110.28 18010.28 17610.28 18210.28 18010.28 17810.28 18110.28 180
test_method18.29 17720.89 17910.50 18215.00 19213.00 19455.00 1973.00 17334.00 19411.50 19032.50 1885.00 16813.50 19127.00 1925.00 1685.00 168
SR-MVS-dyc-post11.55 17511.55 17711.55 18411.55 19111.55 19311.55 19011.55 19911.55 19111.55 19111.55 18611.55 19311.55 19011.55 18811.55 19111.55 190
GeoE19.41 17822.09 18011.37 18317.21 19411.30 19250.50 1964.30 17433.60 19311.70 19244.50 1937.30 17918.90 19322.60 1917.10 1793.90 166
XXY-MVS15.00 17615.00 17815.00 18515.00 19215.00 19515.00 19115.00 20115.00 19215.00 19315.00 18715.00 19715.00 19215.00 19015.00 19315.00 192
GBi-Net44.67 18349.24 18530.96 18647.53 19947.57 200126.09 1988.00 18576.99 19926.09 19473.50 19511.27 19230.55 19461.12 19712.58 19214.75 191
BH-w/o40.00 17940.00 18140.00 18740.00 19540.00 19640.00 19240.00 22040.00 19540.00 19540.00 18940.00 21440.00 19540.00 19340.00 20740.00 203
BH-untuned40.00 17940.00 18140.00 18740.00 19540.00 19640.00 19240.00 22040.00 19540.00 19540.00 18940.00 21440.00 19540.00 19340.00 20740.00 203
BH-RMVSNet40.00 17940.00 18140.00 18740.00 19540.00 19640.00 19240.00 22040.00 19540.00 19540.00 18940.00 21440.00 19540.00 19340.00 20740.00 203
TR-MVS40.00 17940.00 18140.00 18740.00 19540.00 19640.00 19240.00 22040.00 19540.00 19540.00 18940.00 21440.00 19540.00 19340.00 20740.00 203
new_pmnet88.14 18598.62 18656.70 19198.14 20656.07 201246.79 20015.37 202148.06 20050.77 199143.13 19623.35 19862.65 19993.26 19868.71 21751.38 213
N_pmnet88.14 18598.62 18656.70 19198.14 20656.07 201246.79 20015.37 202148.06 20050.77 199143.13 19623.35 19862.65 19993.26 19868.71 21751.38 213
MTAPA833442.10 3371111233.77 34367.09 19365.59 20064.81 203284.50 20210000000.00 375219.97 20559.62 201229.89 20912.72 194103.00 214203.67 21527.93 19433.46 193
MP-MVS-pluss833433.63 3361111219.60 34275.70 19774.28 20173.29 204284.50 20211.35 197238.58 20665.86 202255.35 21414.55 195115.69 21610000000.00 36931.94 19538.12 201
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
ACMMP_NAP118.81 190133.18 19275.70 19774.28 20173.29 204284.50 20211.35 197238.58 20665.86 202255.35 21414.55 195115.69 216222.18 21631.94 19538.12 201
CANet110.62 187124.04 18970.34 19482.03 20374.27 206325.54 20625.25 205207.16 20269.28 204194.38 19927.53 20095.79 208147.76 20237.43 19740.97 207
CANet_DTU110.62 187124.04 18970.34 19482.03 20374.27 206325.54 20625.25 205207.16 20269.28 204194.38 19927.53 20095.79 208147.76 20237.43 19740.97 207
UGNet110.62 187124.04 18970.34 19482.03 20374.27 206325.54 20625.25 205207.16 20269.28 204194.38 19927.53 20095.79 208147.76 20237.43 19740.97 207
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
FMVSNet5124.76 191140.93 19376.26 199107.44 209100.17 213329.88 20927.12 211259.44 21174.30 207204.34 20230.74 20392.41 201196.98 20538.15 20036.19 194
test1124.76 191140.93 19376.26 199107.44 209100.17 213329.88 20927.12 211259.44 21174.30 207204.34 20230.74 20392.41 201196.98 20538.15 20036.19 194
FMVSNet3124.76 191140.93 19376.26 199107.44 209100.17 213329.88 20927.12 211259.44 21174.30 207204.34 20230.74 20392.41 201196.98 20538.15 20036.19 194
FMVSNet2124.76 191140.93 19376.26 199107.44 209100.17 213329.88 20927.12 211259.44 21174.30 207204.34 20230.74 20392.41 201196.98 20538.15 20036.19 194
FMVSNet1124.76 191140.93 19376.26 199107.44 209100.17 213329.88 20927.12 211259.44 21174.30 207204.34 20230.74 20392.41 201196.98 20538.15 20036.19 194
MIMVSNet1124.76 191140.93 19376.26 199107.44 209100.17 213329.88 20927.12 211259.44 21174.30 207204.34 20230.74 20392.41 201196.98 20538.15 20036.19 194
MIMVSNet124.76 191140.93 19376.26 199107.44 209100.17 213329.88 20927.12 211259.44 21174.30 207204.34 20230.74 20392.41 201196.98 20538.15 20036.19 194
PVSNet_Blended_VisFu136.90 199155.40 20181.40 206111.00 21696.20 210407.00 21625.90 208251.60 20885.10 214240.50 21037.00 21099.90 211199.80 21240.70 21148.10 210
PVSNet_BlendedMVS136.90 199155.40 20181.40 206111.00 21696.20 210407.00 21625.90 208251.60 20885.10 214240.50 21037.00 21099.90 211199.80 21240.70 21148.10 210
PVSNet_Blended136.90 199155.40 20181.40 206111.00 21696.20 210407.00 21625.90 208251.60 20885.10 214240.50 21037.00 21099.90 211199.80 21240.70 21148.10 210
DSMNet-mixed131.33 198143.00 20096.33 20999.00 20881.00 209201.00 19945.00 225335.00 21899.00 217251.00 21338.00 213110.00 215120.00 20199.00 22398.00 219
BP-MVS1202.65 202232.15 204114.16 210183.40 220141.78 220655.87 22424.69 204372.56 219109.76 218356.89 21647.15 218139.51 218284.15 21854.86 21461.20 215
FE-MVS207.10 203234.26 205125.61 211180.34 219153.23 221635.64 22330.05 218378.38 220127.68 219377.08 21748.95 219154.43 219266.67 21763.56 21569.18 216
GDP-MVS219.79 204249.11 206131.85 212187.15 221155.97 222667.31 22530.57 219398.95 221131.26 220387.86 21858.83 221164.55 220315.00 21965.03 21675.04 217
FA-MVS(test-final)261.15 205293.29 207164.72 213236.23 224199.99 227800.05 23142.35 224475.87 223155.47 221470.67 22058.49 220205.24 222319.44 22081.03 22088.93 218
kuosan267.89 207301.05 209168.41 214244.05 225177.28 223667.98 22665.76 227533.41 225157.79 222492.01 221104.69 236226.72 223364.47 22379.31 219101.21 221
DP-MVS264.78 206296.02 208171.04 215191.70 222183.96 224827.10 23278.36 236438.24 222176.64 223435.12 21965.04 223230.52 225334.02 221117.96 23198.64 220
SSC-MVS320.23 209364.09 211188.66 216260.78 227193.84 225975.93 24073.11 232596.72 230185.29 224589.02 22774.47 225246.01 226427.42 22794.06 222126.12 224
WB-MVS316.44 208357.41 210193.51 217257.06 226213.32 230914.45 23449.03 226600.77 231186.42 225634.00 23375.03 226251.35 227411.39 22488.55 221115.87 223
UWE-MVS-28327.73 210369.67 212201.90 218281.09 233210.75 228832.98 23374.67 235680.98 238198.23 226613.42 230112.56 239259.80 228418.76 225114.35 225135.15 230
dongtai360.45 213401.64 215236.89 223303.10 234262.16 238963.12 23772.78 230622.82 234199.37 227708.06 236130.96 244310.90 233506.46 237108.11 224137.60 231
testing3418.10 221469.06 223265.23 231335.69 238290.63 2411240.88 25793.72 246717.99 240215.31 228811.97 249232.41 283358.74 239458.67 228114.88 226146.32 233
testing11348.86 212393.09 214216.15 219275.24 230239.53 231915.55 23572.35 229679.89 237215.75 229633.79 232118.08 241276.62 229509.56 238117.61 230132.30 226
testing91347.05 211389.92 213218.43 220275.92 231241.43 232923.71 23671.70 228667.65 236217.04 230629.00 231113.33 240281.39 230495.50 230115.45 227132.47 227
WB-MVSnew404.84 219458.00 221245.36 225374.70 244320.27 2461193.74 25572.90 231773.77 246238.30 231688.22 23590.05 229308.59 232532.76 241157.54 242107.21 222
EG-PatchMatch MVS437.03 224493.12 228268.77 232264.80 229260.20 2371491.80 26398.00 250723.20 242238.80 232722.40 23763.10 222382.00 245629.00 250207.00 257164.10 240
RPSCF394.81 218445.63 220242.35 224276.55 232253.63 2341207.27 25690.69 245715.56 239241.57 233684.87 234111.96 238320.02 235548.38 242133.81 233153.39 236
UWE-MVS387.98 216438.66 219235.93 221349.32 240257.61 2361081.50 24882.45 240637.74 235257.12 234738.54 238134.25 245308.00 231531.93 240135.11 234142.17 232
testing99408.82 220462.15 222248.86 227322.45 237269.42 2391118.93 25173.26 233719.36 241262.28 235772.10 240150.98 251327.08 236601.98 246137.99 235150.07 234
myMVS_eth3d28418.40 222473.07 224254.39 229261.18 228313.04 2421172.79 25474.16 234929.18 254264.68 236745.72 239139.03 249318.91 234549.18 243121.71 232131.21 225
Syy-MVS370.76 214415.60 217236.25 222310.54 235210.76 229965.13 23898.58 251746.06 243266.26 237788.85 24391.37 230364.76 241357.17 222116.42 228133.22 228
myMVS_eth3d390.90 217437.44 218251.28 228310.54 235255.86 235965.13 23898.58 251746.06 243266.26 237788.85 243154.95 252364.76 241490.19 229116.42 228133.22 228
ETVMVS443.50 227498.07 229279.78 233378.05 247321.57 2471163.68 25387.12 241897.50 253269.81 239822.83 250141.20 250334.53 238568.21 245154.21 237183.26 244
testing222430.52 223487.50 227259.56 230379.87 248282.69 2401138.34 25281.30 238880.86 250281.58 240834.27 251135.83 247333.22 237514.90 239140.56 236162.76 237
ADS-MVSNet2443.33 225482.84 225324.79 244434.94 257387.73 2551110.57 24987.69 242887.02 251282.92 241779.29 24198.57 234422.76 253502.40 231162.19 246163.87 238
ADS-MVSNet443.33 225482.84 225324.79 244434.94 257387.73 2551110.57 24987.69 242887.02 251282.92 241779.29 24198.57 234422.76 253502.40 231162.19 246163.87 238
DP-MVS Recon516.25 234581.17 235321.48 243361.02 241429.00 2591995.36 27178.48 237796.20 247283.32 243796.02 24596.78 231382.98 246636.72 252186.66 254152.46 235
MVP-Stereo473.58 228533.67 230293.33 235376.00 245318.00 2431461.00 26196.00 247835.00 248290.00 244804.00 24697.00 232383.00 247688.00 258156.00 239179.00 242
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 228533.67 230293.33 235376.00 245318.00 2431461.00 26196.00 247835.00 248290.00 244804.00 24697.00 232383.00 247688.00 258156.00 239179.00 242
WBMVS655.88 240770.84 245310.98 241391.79 251353.00 2512280.68 27399.17 2541776.79 287301.20 2461123.23 269187.34 269390.28 249620.39 249156.98 241189.66 247
testing3-2489.51 230555.88 233290.42 234362.21 242319.27 2451424.84 26088.81 244964.80 255309.62 247879.13 253174.38 259363.98 240643.82 254155.29 238188.01 245
PatchmatchNetpermissive492.52 231551.22 232316.40 242400.20 253357.90 2531277.10 258115.80 2581034.60 264315.90 248874.00 252155.10 253402.20 250629.50 251158.80 243189.10 246
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
SSC-MVS3.2667.82 242787.71 246308.16 239385.94 249327.65 2481718.51 266117.00 2601942.46 292317.12 2491488.73 283183.89 260404.82 251763.70 260172.02 249192.01 249
UBG667.82 242787.71 246308.16 239385.94 249327.65 2481718.51 266117.00 2601942.46 292317.12 2491488.73 283183.89 260404.82 251763.70 260172.02 249192.01 249
DELS-MVS514.57 233587.73 236295.12 237343.03 239328.09 2501540.48 265116.22 259988.59 256325.44 251906.22 254119.86 243365.72 243788.60 262161.09 245191.55 248
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
ACMH+729.97 2661.38 241754.00 243383.51 247368.96 243376.38 2542483.74 28582.42 2391089.25 265333.39 2521219.68 27066.53 224573.60 270957.86 268184.14 253200.56 251
tpmvs501.65 232567.42 234304.33 238395.39 252356.32 2521512.04 264216.53 287994.15 257350.16 253804.16 248119.38 242380.98 244555.14 244159.87 244175.69 241
IterMVS615.05 238691.66 241385.23 248516.40 260454.80 2601863.80 269102.10 2551142.20 266364.10 2541093.20 268135.00 246480.40 256826.90 263181.20 251220.50 252
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 239700.96 242362.78 246426.10 256409.25 2571822.69 268124.42 2701186.23 267366.85 2551079.42 266190.60 271451.78 255930.72 267181.59 252227.30 253
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
new-patchmatchnet766.12 246859.03 251487.38 261595.68 262536.14 2652346.27 275142.51 2751488.08 274422.43 2561361.32 274163.65 256628.60 2751003.74 277207.61 258297.41 267
SixPastTwentyTwo773.62 247869.37 253486.35 260603.45 264547.15 2742532.14 286106.92 2571434.95 273428.08 2571360.56 273165.15 257628.96 276984.09 269209.01 259282.94 264
lessismore_v0569.20 266667.25 283644.68 28396.45 249428.86 2581514.17 285204.21 278756.58 2791061.60 279197.79 256306.34 268
IterMVS-LS758.94 245856.56 250466.10 258606.60 265546.80 2732309.90 274122.20 2691402.80 272463.50 2591348.20 272192.60 272574.60 2711028.60 278234.60 269276.90 263
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
mvs_anonymous774.90 248882.28 254452.77 250636.50 274537.20 2662348.80 276120.30 2621504.30 275474.40 2601371.10 275186.90 262564.70 2631078.90 280219.30 260256.40 254
casdiffmvspermissive774.90 248882.28 254452.77 250636.50 274537.20 2662348.80 276120.30 2621504.30 275474.40 2601371.10 275186.90 262564.70 2631078.90 280219.30 260256.40 254
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 248882.28 254452.77 250636.50 274537.20 2662348.80 276120.30 2621504.30 275474.40 2601371.10 275186.90 262564.70 2631078.90 280219.30 260256.40 254
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 248882.28 254452.77 250636.50 274537.20 2662348.80 276120.30 2621504.30 275474.40 2601371.10 275186.90 262564.70 2631078.90 280219.30 260256.40 254
baseline1774.90 248882.28 254452.77 250636.50 274537.20 2662348.80 276120.30 2621504.30 275474.40 2601371.10 275186.90 262564.70 2631078.90 280219.30 260256.40 254
casdiffmvs_mvgpermissive774.90 248882.28 254452.77 250636.50 274537.20 2662348.80 276120.30 2621504.30 275474.40 2601371.10 275186.90 262564.70 2631078.90 280219.30 260256.40 254
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 248882.28 254452.77 250636.50 274537.20 2662348.80 276120.30 2621504.30 275474.40 2601371.10 275186.90 262564.70 2631078.90 280219.30 260256.40 254
ACMH993.80 5967.92 2631106.11 273553.33 264494.00 259534.00 2643581.00 291136.00 2721585.00 284478.00 2671871.00 29090.00 227839.00 2821460.00 291260.00 270287.00 265
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet1207.94 6829.56 258937.18 261506.69 262645.55 281585.72 2762477.98 284130.52 2711578.29 283509.50 2681460.01 282194.90 273637.19 2771170.78 288267.07 273297.17 266
Gipumacopyleft689.75 244767.00 244458.00 257613.00 272549.00 2751943.00 270187.00 2841230.00 268518.00 2691092.00 267203.00 277564.00 262892.00 266225.00 267261.00 261
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
PMVScopyleft863.65 3957.08 2621054.11 271666.00 276401.00 254495.00 2623790.00 293279.00 2891607.00 285521.00 2701745.00 28890.00 2271105.00 299639.00 253415.00 284398.00 281
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
K. test v3877.74 260980.16 263570.46 2671316.85 306813.15 2922565.52 287103.78 2561509.49 282548.33 2711258.90 271219.93 282587.82 2721102.37 287196.30 255310.42 269
GG-mvs-BLEND596.01 268611.29 269600.33 277790.30 228513.12 323552.71 272567.40 222662.54 327531.67 257503.93 233779.80 305656.02 289
gg-mvs-nofinetune594.69 235605.37 237562.67 265617.29 273500.33 263772.30 227413.12 308579.21 226552.71 272567.40 222662.54 327531.67 257503.93 233779.80 305656.02 289
CR-MVSNet612.36 237617.81 240596.01 268611.29 269600.33 277790.30 228513.12 323579.21 226552.71 272567.40 222662.54 327531.67 257503.93 233779.80 305656.02 289
MVSTER890.06 2611005.91 270542.52 263736.13 286653.90 2842616.56 288145.22 2771692.10 286555.69 2751554.72 286266.25 284660.02 2781219.66 289266.84 272313.64 270
ACMP1246.57 71086.24 2711235.17 275639.45 271596.53 263639.91 2823904.24 294152.04 2781851.54 289566.58 2761997.95 292138.50 248938.30 2861605.46 293303.70 279340.14 272
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
PVSNet_01661.03 9968.54 2641066.82 272673.70 277706.94 284695.69 2852669.02 289153.52 2792108.17 295605.54 2771679.14 287213.26 281886.75 2851236.76 290229.01 268438.67 282
tmp_tt371.08 215412.78 216246.00 226231.00 223197.00 2261293.00 259376.00 300756.00 245609.00 27871.00 194106.00 237195.00 221102.00 200171.00 248346.00 274
RE-MVS-def610.10 238610.10 267610.10 280610.10 221610.10 332610.10 232610.10 279610.10 228610.10 315610.10 247610.10 288610.10 286
SR-MVS610.10 236610.10 238610.10 270610.10 267610.10 280610.10 221610.10 332610.10 232610.10 279610.10 228610.10 315610.10 273610.10 247610.10 288610.10 286
MSLP-MVS++1242.93 2761411.08 279738.48 281712.71 285712.68 2864168.17 296136.50 2732276.40 297613.28 2812368.60 297161.61 2551130.38 3001964.54 300297.88 276372.39 277
MVS_111021_LR1136.45 2741298.72 277649.64 272756.17 287726.26 2883785.94 292138.15 2742190.64 296629.63 2822064.39 293165.45 258874.83 2841678.43 296279.70 274347.82 275
ACMMPR1296.60 2781480.82 281743.96 282899.25 291763.47 2904305.47 297143.90 2762530.94 300683.99 2832346.34 296201.65 2761098.25 2981920.59 299295.21 275370.16 276
test_04021110.00 2731260.00 276660.00 273900.00 292780.00 2913300.00 290210.00 2862040.00 294690.00 2841950.00 291300.00 288810.00 2811620.00 294330.00 280390.00 280
DeepC-MVS_fast2190.19 121535.59 2811886.82 285481.89 259847.73 288830.16 2937943.84 318189.23 2852398.83 298691.73 2852341.13 295209.16 279230.25 2241999.25 301360.46 281385.25 279
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
ACMM1311.08 81165.06 2751332.72 278662.07 275584.90 261715.99 2874373.59 298153.99 2801880.27 290709.02 2862316.97 294188.63 270939.89 2871484.30 292302.78 278330.34 271
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
TSAR-MVS + GP.1386.84 2791622.84 283678.81 278952.13 293840.17 2945358.21 302170.75 2822650.47 301713.54 2872394.28 298209.42 280855.56 2831854.36 298302.42 277340.71 273
MG-MVS1256.50 2771432.00 280730.00 280610.00 266760.00 2894720.00 299169.00 2811920.00 291723.00 2882510.00 300201.00 2751050.00 2971645.00 295390.00 283380.00 278
CSCG826.03 257963.29 262414.24 249421.52 255426.11 2582230.35 272179.52 2831827.44 288733.43 289933.12 256281.25 285545.23 2611800.35 297262.64 271271.38 262
FPMVS1407.00 2801495.59 2821141.23 293648.01 282893.85 2964124.00 295503.81 3223219.04 303742.72 2902498.84 299157.98 2541727.83 306832.93 264732.98 304802.00 298
Patchmtry1090.75 2721198.88 274766.38 2831290.90 304485.90 2612423.98 2831267.30 3551297.17 269923.90 291923.40 2551215.54 348990.23 288667.90 255779.80 305823.02 303
PatchT856.34 259860.99 252842.38 2841290.90 304880.90 295790.30 2281267.30 355579.21 226923.90 291567.40 222662.54 327990.23 288887.56 265779.80 305656.02 289
COLMAP_ROBcopyleft2144.59 111658.33 2821869.33 2841025.33 2921030.00 3011023.00 3065311.00 301359.00 2983044.00 302937.00 2932892.00 301332.00 2921440.00 3032312.00 303607.00 287613.00 288
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
ambc999.00 285999.00 294999.00 299999.00 241999.00 348999.00 294999.00 257999.00 340999.00 290999.00 270999.00 324999.00 321
OurMVSNet-221017-0999.00 265999.00 264999.00 285999.00 294999.00 299999.00 241999.00 348999.00 258999.00 294999.00 257999.00 340999.00 290999.00 270999.00 324999.00 321
EPMVS999.00 265999.00 264999.00 285999.00 294999.00 299999.00 241999.00 348999.00 258999.00 294999.00 257999.00 340999.00 290999.00 270999.00 324999.00 321
uanet_test1000.00 2671000.00 2661000.00 2881000.00 2971000.00 3021000.00 2441000.00 3511000.00 2601000.00 2971000.00 2601000.00 3431000.00 2931000.00 2731000.00 3271000.00 324
sosnet1000.00 2671000.00 2661000.00 2881000.00 2971000.00 3021000.00 2441000.00 3511000.00 2601000.00 2971000.00 2601000.00 3431000.00 2931000.00 2731000.00 3271000.00 324
USDC1000.00 2671000.00 2661000.00 2881000.00 2971000.00 3021000.00 2441000.00 3511000.00 2601000.00 2971000.00 2601000.00 3431000.00 2931000.00 2731000.00 3271000.00 324
TinyColmap1000.00 2671000.00 2661000.00 2881000.00 2971000.00 3021000.00 2441000.00 3511000.00 2601000.00 2971000.00 2601000.00 3431000.00 2931000.00 2731000.00 3271000.00 324
JIA-IIPM804.30 256835.64 249710.26 279885.90 289895.90 297455.98 219668.73 3371297.17 2691002.26 3011001.67 264655.98 325756.98 280667.90 255885.21 317477.90 283
RPMNet787.26 255829.13 248661.63 274885.90 289895.90 297455.98 219610.10 3321297.17 2691002.26 3011001.67 264655.98 325611.10 274667.90 255885.21 317477.90 283
F-COLMAP1878.17 2832113.11 2861173.33 2961231.00 3021174.00 3076297.00 304392.00 3033356.00 3051087.00 3033082.00 302361.00 2961670.00 3052523.00 305689.00 294676.00 293
PCF-MVS4335.85 202272.23 2892597.03 2921297.84 2971701.20 3111332.37 3088105.11 319451.45 3114031.84 3101099.10 3043966.50 309467.45 3041734.05 3072701.68 308848.94 314827.11 304
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CMPMVSbinary2623.62 151983.08 2852156.14 2871463.89 3061414.80 3081517.00 3125239.20 300867.40 3423310.30 3041128.70 3053489.90 304366.75 2972030.20 3172427.60 3041160.60 336844.46 306
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
OpenMVScopyleft2352.88 132263.08 2882530.89 2911459.67 3051767.00 3191591.00 3157932.00 317399.00 3043643.00 3061176.00 3063569.00 306297.00 2871927.00 3133302.00 311693.00 299861.00 307
MVS-HIRNet2125.39 2862452.68 2891143.53 2942938.33 3491446.92 3116083.19 303391.74 3023801.71 3081202.10 3073439.72 303492.73 3061304.35 3023048.25 310676.32 293679.32 294
ZD-MVS1584.00 3091821.00 332378.00 3013721.00 3071231.00 3081833.00 289321.00 2911224.00 3012103.00 302692.00 298
DeepPCF-MVS3452.42 182670.71 2973021.57 2991618.12 3082377.67 3351751.39 3288915.70 324567.44 3304569.74 3171236.84 3094615.63 315513.23 3072291.32 3193515.48 315882.39 316811.66 300
PLCcopyleft2858.82 162192.92 2872474.00 2901349.67 2981407.00 3071356.00 3097164.00 309475.00 3153970.00 3091237.00 3103765.00 308451.00 3031891.00 3113006.00 309791.00 310802.00 298
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
Vis-MVSNetpermissive2877.42 3003170.00 3031999.67 3211673.00 3102042.00 3388593.00 322474.00 3146452.00 3341268.00 3115125.00 322339.00 2933004.00 3354222.00 325384.00 282953.00 317
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
DeepC-MVS3917.13 193155.06 3033601.83 3061814.72 3162515.52 3381941.53 33310432.50 339589.42 3314789.45 3181298.65 3127677.31 340578.35 3142589.53 3253611.78 317923.52 319913.10 312
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
test_0728_THIRD5016.02 3211363.85 3134894.28 319387.23 2982023.43 3143973.88 319620.04 290732.56 295
test07261725.60 3121598.35 3169203.30 325315.86 2925016.02 3211363.85 3134894.28 319387.23 298
SD-MVS2654.53 2963055.56 3011451.45 3031725.60 3121598.35 3169203.30 325315.86 2925016.02 3211363.85 3134894.28 319387.23 2982023.43 3143973.88 319620.04 290732.56 295
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
3Dnovator2482.06 142531.17 2932839.56 2961606.00 3071732.00 3151557.00 3148375.00 321483.00 3164370.00 3151371.00 3164200.00 310350.00 2942207.00 3183877.00 318798.00 3111054.00 328
SteuartSystems-ACMMP2891.50 3013284.78 3041711.67 3111954.00 3221655.00 32210117.00 338445.00 3105102.00 3241375.00 3175126.00 323351.00 2952638.00 3314402.00 326691.00 297842.00 305
Skip Steuart: Steuart Systems R&D Blog.
AdaColmapbinary2570.77 2952948.61 2981437.24 3021873.64 3211526.60 3137819.77 316373.97 2994970.45 3191479.29 3184648.46 316525.80 3091904.97 3124150.42 323695.69 300880.14 311
LF4IMVS2699.50 2983049.67 3001649.00 3091755.00 3161689.00 3238330.00 320464.00 3134997.00 3201528.00 3194763.00 318568.00 3132296.00 3204215.00 324827.00 313962.00 318
tpmrst2557.50 2942847.12 2971688.66 3101784.08 3201778.25 3297445.50 315342.14 2954471.54 3161534.55 3204382.10 314530.10 3102361.21 3214142.81 322991.22 322926.51 313
CHOSEN 280x4202340.81 2902643.03 2931434.14 2992025.55 3281629.36 3196542.40 305412.49 3054219.70 3121547.02 3214328.52 311650.74 3221798.26 3083333.17 312727.72 301874.79 308
CHOSEN 1792x26882340.81 2902643.03 2931434.14 2992025.55 3281629.36 3196542.40 305412.49 3054219.70 3121547.02 3214328.52 311650.74 3221798.26 3083333.17 312727.72 301874.79 308
HyFIR lowres test2340.81 2902643.03 2931434.14 2992025.55 3281629.36 3196542.40 305412.49 3054219.70 3121547.02 3214328.52 311650.74 3221798.26 3083333.17 312727.72 301874.79 308
DPM-MVS3268.00 3043762.89 3071783.33 3141756.00 3171806.00 33012319.00 341307.00 2906319.00 3321557.00 3245763.00 325302.00 2892609.00 3275061.00 330482.00 285935.00 315
OPM-MVS3268.00 3043762.89 3071783.33 3141756.00 3171806.00 33012319.00 341307.00 2906319.00 3321557.00 3245763.00 325302.00 2892609.00 3275061.00 330482.00 285935.00 315
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
EGC-MVSNET2819.75 2993096.89 3021988.33 3203105.00 3502241.00 3409480.00 329640.00 3364209.00 3111583.00 3264740.00 317547.00 3122797.00 3332644.00 307924.00 320927.00 314
tpm23617.85 3084007.23 3102449.73 3282012.71 3241698.05 3247351.19 311869.29 3436132.06 3271588.28 3278007.42 3431281.09 3493888.11 3477472.04 3481351.00 3381763.02 344
tpm cat13617.85 3084007.23 3102449.73 3282012.71 3241698.05 3247351.19 311869.29 3436132.06 3271588.28 3278007.42 3431281.09 3493888.11 3477472.04 3481351.00 3381763.02 344
CostFormer3617.85 3084007.23 3102449.73 3282012.71 3241698.05 3247351.19 311869.29 3436132.06 3271588.28 3278007.42 3431281.09 3493888.11 3477472.04 3481351.00 3381763.02 344
tpm3617.85 3084007.23 3102449.73 3282012.71 3241698.05 3247351.19 311869.29 3436132.06 3271588.28 3278007.42 3431281.09 3493888.11 3477472.04 3481351.00 3381763.02 344
DVP-MVS++3981.10 3144731.32 3191730.42 3122191.51 3311949.98 33416473.90 350355.33 2967172.90 3431622.98 3317879.79 341434.33 3012428.11 3235762.12 333689.04 295813.18 301
DVP-MVScopyleft3981.10 3144731.32 3191730.42 3122191.51 3311949.98 33416473.90 350355.33 2967172.90 3431622.98 3317879.79 341434.33 3012428.11 3235762.12 333689.04 295813.18 301
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
OpenMVS_ROBcopyleft1936.51 101959.51 2842224.88 2881163.39 2951253.91 3031434.22 3107065.71 308272.76 2882472.29 2991647.54 3333538.72 305200.37 2741496.48 3042575.17 306997.45 323559.48 285
TAPA-MVS6309.84 213374.90 3063806.99 3092078.63 3232535.47 3392499.25 3488816.16 323456.05 3126255.60 3311664.52 3346704.88 330629.95 3202768.38 3326343.93 344856.35 315968.25 319
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 3074065.89 3141914.35 3172349.10 3342141.30 33912362.70 343417.60 3096717.80 3381759.40 3356497.50 328518.18 3082629.38 3305164.32 332806.40 312972.38 320
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
3Dnovator+3414.41 173146.67 3023537.00 3051975.67 3182310.00 3332005.00 33710100.00 337626.00 3355753.00 3251803.00 3365179.00 324487.00 3052622.00 3294550.00 3271025.00 3311300.00 335
ITE_SJBPF2014.00 3221998.00 3231992.00 336701.00 3385989.00 3261812.00 3373612.00 307650.00 3212852.00 3344601.00 3281195.00 3371198.00 334
MVS_111021_HR3742.80 3124330.34 3151980.20 3192484.31 3372259.52 34114973.80 348515.90 3296500.13 3351949.21 3386146.89 327535.66 3112593.66 3264880.76 329986.37 3211087.43 329
FOURS12643.17 3402465.14 34313996.40 345493.26 3177619.38 3462107.24 339
PC_three_14527619.38 3462107.24 3397416.93 337610.24 3173088.29 3406075.14 3401078.39 3321159.26 330
test_one_06012643.17 3402465.14 343493.26 3177619.38 3462107.24 3397416.93 337610.24 317
SED-MVS4062.74 3174671.13 3182237.56 3242643.17 3402465.14 34313996.40 345493.26 3177619.38 3462107.24 3397416.93 337610.24 3173088.29 3406075.14 3401078.39 3321159.26 330
IU-MVS2725.60 3452598.35 349515.86 3257016.02 3392363.85 3435973.88 3361620.04 3441732.56 340
test_241102_TWO515.86 3257016.02 3392363.85 3436894.28 331887.23 3353023.43 3365973.88 3361620.04 3441732.56 340
test_241102_ONE2725.60 3452598.35 349515.86 3257016.02 3392363.85 3436894.28 331887.23 3353023.43 336
MSP-MVS4296.20 3184911.12 3222451.45 3322725.60 3452598.35 34916203.30 349515.86 3257016.02 3392363.85 3436894.28 331887.23 3353023.43 3365973.88 3361620.04 3441732.56 340
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
GST-MVS4000.00 3164533.33 3172400.00 3272400.00 3362400.00 3427200.00 3102400.00 3597200.00 3452400.00 3477200.00 3352400.00 3532400.00 3227200.00 3462400.00 3502400.00 349
MAR-MVS3973.16 3134387.92 3162728.86 3343345.27 3513341.39 35511403.90 340798.76 3406555.62 3372569.29 3486514.86 329834.97 3343237.43 3445891.08 3351577.54 3431607.76 336
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
API-MVS4380.83 3194906.56 3212803.67 3353844.00 3523116.00 35413454.00 344901.00 3476511.00 3362794.00 3497365.00 336754.00 3313634.00 3456622.00 3451914.00 3491661.00 339
OMC-MVS5022.26 3205748.82 3232842.58 3364905.27 3543101.27 35314933.60 347812.24 3419278.40 3502959.29 3508800.17 3471092.24 3473806.30 3467568.54 3521389.60 3421620.18 338
LS3D7684.71 3228776.23 3254410.16 3385298.55 3555631.53 35734329.90 3591504.57 35711554.00 3593896.41 35115111.00 356812.19 3325985.63 3523516.20 3162963.23 3511613.31 337
CLD-MVS7338.25 3218341.00 3244330.00 3374902.00 3534991.00 35623318.00 357728.00 33914437.00 3604378.00 35213379.00 355824.00 3335708.00 35111429.00 3611674.00 3482291.00 348
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
MVEpermissive10021.00 2210550.67 33010002.44 33312195.33 3476242.00 3568768.00 35930896.00 3584451.00 36010331.00 3586247.00 35318296.00 357283.00 28621484.00 3617364.00 3475912.00 3536334.00 351
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 33111772.44 3347637.33 3399120.00 3578206.00 35822252.00 3562010.00 35824984.00 3617458.00 35422596.00 3582940.00 35410260.00 36011100.00 3603492.00 3524446.00 350
ZNCC-MVS9999.00 3239999.00 3269999.00 3409999.00 3589999.00 3609999.00 3309999.00 3639999.00 3519999.00 3559999.00 3489999.00 3569999.00 3539999.00 3539999.00 3549999.00 352
patch_mono-210000.00 32410000.00 32710000.00 34110000.00 35910000.00 36110000.00 33110000.00 36410000.00 35210000.00 35610000.00 34910000.00 35710000.00 35410000.00 35410000.00 35510000.00 353
dcpmvs_210000.00 32410000.00 32710000.00 34110000.00 35910000.00 36110000.00 33110000.00 36410000.00 35210000.00 35610000.00 34910000.00 35710000.00 35410000.00 35410000.00 35510000.00 353
DCPMVS10000.00 32410000.00 32710000.00 34110000.00 35910000.00 36110000.00 33110000.00 36410000.00 35210000.00 35610000.00 34910000.00 35710000.00 35410000.00 35410000.00 35510000.00 353
UA-Net10000.00 32410000.00 32710000.00 34110000.00 35910000.00 36110000.00 33110000.00 36410000.00 35210000.00 35610000.00 34910000.00 35710000.00 35410000.00 35410000.00 35510000.00 353
uncertanet10000.00 32410000.00 32710000.00 34110000.00 35910000.00 36110000.00 33110000.00 36410000.00 35210000.00 35610000.00 34910000.00 35710000.00 35410000.00 35410000.00 35510000.00 353
uanet10000.00 32410000.00 32710000.00 34110000.00 35910000.00 36110000.00 33110000.00 36410000.00 35210000.00 35610000.00 34910000.00 35710000.00 35410000.00 35410000.00 35510000.00 353
LTVRE_ROB20565.47 2323378.08 33222805.00 33525097.33 34815500.00 36519201.00 36742712.00 3606055.00 36138388.00 36216926.00 36238534.00 3597071.00 35535653.00 36229475.00 36210584.00 36120438.00 360
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 33334443.44 33627094.33 34929249.00 36625246.00 36851144.00 3616705.00 36242886.00 36322888.00 36348534.00 36013263.00 36337507.00 36379298.00 36316024.00 36218530.00 359
114514_t99999.00 33499999.00 33799999.00 35099999.00 36799999.00 36999999.00 36299999.00 37099999.00 36499999.00 36499999.00 36199999.00 36499999.00 36499999.00 36499999.00 36399999.00 361
PHI-MVS99999.00 33499999.00 33799999.00 35099999.00 36799999.00 36999999.00 36299999.00 37099999.00 36499999.00 36499999.00 36199999.00 36499999.00 36499999.00 36499999.00 36399999.00 361
XVG-OURS-SEG-HR999999.00 338999999.00 339999999.00 352999999.00 369999999.00 371999999.00 364999999.00 372999999.00 366999999.00 366999999.00 363999999.00 366999999.00 366999999.00 366999999.00 365999999.00 363
XVG-OURS999999.00 338999999.00 339999999.00 352999999.00 369999999.00 371999999.00 364999999.00 372999999.00 366999999.00 366999999.00 363999999.00 366999999.00 366999999.00 366999999.00 365999999.00 363
XVG-ACMP-BASELINE999999.00 338999999.00 339999999.00 352999999.00 369999999.00 371999999.00 364999999.00 372999999.00 366999999.00 366999999.00 363999999.00 366999999.00 366999999.00 366999999.00 365999999.00 363
MED-MVS test10000000.00 35510000000.00 37210000000.00 37421344.80 35210000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36810000000.00 366
MED-MVS9168445.40 3418891260.53 34410000000.00 35510000000.00 37210000000.00 37421344.80 35210000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
TestfortrainingZip a9168445.40 3418891260.53 34410000000.00 35510000000.00 37210000000.00 37421344.80 35210000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
mamba_040810000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
icg_test_0407_210000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
SSM_0407210000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
SSM_040710000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
IMVS_040710000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
IMVS_040410000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
SSM_040410000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
IMVS_040310000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
SD_040310000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
ME-MVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
NormalMVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
lecture10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
SymmetryMVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
Elysia10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
StellarMVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
KinetiMVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
LuminaMVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
VortexMVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
AstraMVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
guyue10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
sc_t110000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
tt0320-xc10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
tt032010000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
MVSMamba_PlusPlus10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
MGCFI-Net10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
sasdasda10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
dmvs_re10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
SDMVSNet10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
dmvs_testset10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
sd_testset10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
balanced_conf0310000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
MonoMVSNet10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
test250610000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
test111110000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
ECVR-MVScopyleft10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
test_blank10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
tt080510000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
Anonymous2024052110000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
cl2210000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
miper_ehance_all_eth10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
miper_enhance_ethall10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
cl____10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
DIV-MVS_self_test10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
eth_miper_zixun_eth10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
ET-MVSNet_ETH3D10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
UniMVSNet_ETH3D10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
miper_lstm_enhance10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
D2MVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
test_yl10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
thisisatest053010000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
Anonymous2024052910000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
Anonymous20240521110000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
DCV-MVSNet10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
tttt051710000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
our_test_310000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
thisisatest051510000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
ppachtmachnet_test10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
SMA-MVScopyleft10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
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 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
test_part210000000.00 37210000000.00 37410000000.00 369
thres100view90010000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
tfpnnormal10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
tfpn200view910000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
c3_l10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
IterMVS-SCA-FT10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
pmmvs610000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
pmmvs510000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
Anonymous2023121110000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
pmmvs-eth3d10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
Anonymous2023120610000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
SCA10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
Patchmatch-test10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
Patchmatch-RL test10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
canonicalmvs10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
anonymousdsp10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
FIs10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
FC-MVSNet-test10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
sosnet-low-res10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
AllTest10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
TestCases10000000.00 35510000000.00 37210000000.00 37410000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
RRT-MVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
mamv410000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
HPM-MVS++copyleft10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
XVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
pm-mvs110000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
X-MVStestdata10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
APDe-MVScopyleft10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
pmmvs410000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
test-LLR10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
TESTMET0.1,110000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
test-mter10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
testgi10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
test20.0310000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
thres600view710000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
MP-MVScopyleft10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
thres40010000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
test12310000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
thres20010000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
test0.0.03 110000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
pmmvs310000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
EMVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
E-PMN10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
PGM-MVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
MCST-MVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
MVS_Test10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
PMMVS210000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
PM-MVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
HQP_MVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
plane_prior310000000.00 37410000000.00 36910000000.00 369
mPP-MVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
mvsmamba10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
HPM-MVS_fast10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
HPM-MVScopyleft10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
LGP-MVS_train10000000.00 35510000000.00 37210000000.00 37410000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
EPNet_dtu10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
HQP-NCC10000000.00 37210000000.00 36710000000.00 36910000000.00 369
ACMP_Plane10000000.00 37210000000.00 36710000000.00 36910000000.00 369
HQP4-MVS10000000.00 36910000000.00 36910000000.00 366
CNVR-MVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
NCCC10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
CP-MVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
CPTT-MVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
HQP-MVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
IS-MVSNet10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
PAPM_NR10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
PAPR10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
Vis-MVSNet (Re-imp)10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
PatchMatch-RL10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
TDRefinement10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
EPP-MVSNet10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
PMMVS10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
PAPM10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
ACMMPcopyleft10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
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 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
wuyk23d10000000.00 34310000000.00 34610000000.00 35510000000.00 37210000000.00 37410000000.00 36710000000.00 37510000000.00 36910000000.00 36910000000.00 36610000000.00 36910000000.00 36910000000.00 36910000000.00 36810000000.00 366
APD-MVScopyleft1000000000.00 4751000000000.00 4781000000000.00 4921000000000.00 5171000000000.00 5171000000000.00 5041000000000.00 5171000000000.00 5101000000000.00 5111000000000.00 5081000000000.00 5121000000000.00 5111000000000.00 5101000000000.00 5091000000000.00 507
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
TestfortrainingZip21344.80 352
WAC-MVS248.46 233422.23 226
MSC_two_6792asdad2237.56 3242643.17 3402465.14 343493.26 3173088.29 3406075.14 3401078.39 3321159.26 330
No_MVS2237.56 3242643.17 3402465.14 343493.26 3173088.29 3406075.14 3401078.39 3321159.26 330
eth-test21.42 126
eth-test10000000.00 372
OPU-MVS2451.45 3322725.60 3452598.35 3499203.30 3256894.28 331887.23 3353023.43 3365973.88 3361620.04 3441732.56 340
save fliter0.00 10.00 10.00 10.00 10.00 1
test_0728_SECOND1451.45 3031725.60 3121598.35 3169203.30 325315.86 2922023.43 3143973.88 319620.04 290732.56 295
GSMVS10000000.00 366
sam_mvs110000000.00 36910000000.00 366
sam_mvs10000000.00 369
MTGPAbinary10000000.00 375
test_post110000000.00 36710000000.00 36610000000.00 36910000000.00 36910000000.00 369
test_post10000000.00 36610000000.00 36910000000.00 369
patchmatchnet-post10000000.00 36610000000.00 36910000000.00 369
MTMP10000000.00 36710000000.00 375
gm-plane-assit611.29 269600.33 277579.21 226567.40 222531.67 257503.93 233
test9_res0.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
test_prior40.00 10.00 1
test_prior0.00 10.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
旧先验10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
无先验0.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM20.00 1
testdata20.00 10.00 1
segment_acmp0.00 1
testdata10.00 10.00 1
plane_prior710000000.00 37210000000.00 374
plane_prior610000000.00 37210000000.00 37410000000.00 369
plane_prior510000000.00 37510000000.00 36910000000.00 36910000000.00 36810000000.00 366
plane_prior410000000.00 366
plane_prior210000000.00 36710000000.00 369
plane_prior110000000.00 372
plane_prior1.00 1202.00 1582.00 1592.00 157
n214.20 200
nn1.42 128
door-mid1.42 128
test111.00 121
door99.00 253
HQP5-MVS10000000.00 374
BP-MVS10000000.00 369
HQP3-MVS10000000.00 37510000000.00 368
HQP2-MVS10000000.00 369
NP-MVS10000000.00 37210000000.00 37410000000.00 366
ACMMP++_ref10000000.00 368
ACMMP++10000000.00 368
Test By Simon990.00 339