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 bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort bysort by
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
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
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
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
13140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
MVS0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
QAPM0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
h-mvs330.30 590.30 600.30 640.30 710.30 710.30 710.30 720.30 710.30 700.30 680.30 700.30 710.30 690.30 690.30 69
hse-mvs20.30 590.30 600.30 640.30 710.30 710.30 710.30 720.30 710.30 700.30 680.30 700.30 710.30 690.30 690.30 69
CL-MVSNet_self_test0.30 590.30 600.30 640.30 710.30 710.30 710.30 720.30 710.30 700.30 680.30 700.30 710.30 690.30 690.30 69
AUN-MVS0.30 590.30 600.30 640.30 710.30 710.30 710.30 720.30 710.30 700.30 680.30 700.30 710.30 690.30 690.30 69
LCM-MVSNet0.37 630.36 640.37 680.37 750.37 750.37 750.32 760.37 750.37 740.37 720.37 740.37 750.37 730.37 730.37 73
v1441920.40 640.40 650.40 690.40 760.40 760.40 760.40 780.40 760.40 750.40 730.40 750.40 760.40 740.40 740.40 74
v19219200.40 640.40 650.40 690.40 760.40 760.40 760.40 780.40 760.40 750.40 730.40 750.40 760.40 740.40 740.40 74
v11920.40 640.40 650.40 690.40 760.40 760.40 760.40 780.40 760.40 750.40 730.40 750.40 760.40 740.40 740.40 74
v11440.40 640.40 650.40 690.40 760.40 760.40 760.40 780.40 760.40 750.40 730.40 750.40 760.40 740.40 740.40 74
v1480.40 640.40 650.40 690.40 760.40 760.40 760.40 780.40 760.40 750.40 730.40 750.40 760.40 740.40 740.40 74
v7n0.40 640.40 650.40 690.40 760.40 760.40 760.40 780.40 760.40 750.40 730.40 750.40 760.40 740.40 740.40 74
v12400.40 640.40 650.40 690.40 760.40 760.40 760.40 780.40 760.40 750.40 730.40 750.40 760.40 740.40 740.40 74
v80.40 640.40 650.40 690.40 760.40 760.40 760.40 780.40 760.40 750.40 730.40 750.40 760.40 740.40 740.40 74
v100.40 640.40 650.40 690.40 760.40 760.40 760.40 780.40 760.40 750.40 730.40 750.40 760.40 740.40 740.40 74
v2v4820.40 640.40 650.40 690.40 760.40 760.40 760.40 780.40 760.40 750.40 730.40 750.40 760.40 740.40 740.40 74
V420.40 640.40 650.40 690.40 760.40 760.40 760.40 780.40 760.40 750.40 730.40 750.40 760.40 740.40 740.40 74
GA-MVS0.40 640.40 650.40 690.40 760.40 760.40 760.40 780.40 760.40 750.40 730.40 750.40 760.40 740.40 740.40 74
Fast-Effi-MVS+0.41 760.40 650.41 810.41 880.41 880.41 880.35 770.41 880.41 870.41 850.41 870.41 880.41 860.41 860.41 86
Fast-Effi-MVS+-dtu0.44 770.44 780.44 820.44 890.44 890.44 890.44 900.44 890.44 880.44 860.44 880.44 890.44 870.44 870.44 87
Effi-MVS+0.58 780.56 790.62 850.53 900.62 920.53 900.53 910.53 900.62 910.62 890.53 890.62 920.62 890.53 880.62 90
Effi-MVS+-dtu0.59 790.61 810.53 830.68 970.53 900.53 900.68 980.68 970.53 890.53 870.68 960.53 900.68 950.53 880.53 88
KD-MVS_self_test0.60 800.60 800.60 840.60 910.60 910.60 920.60 920.60 910.60 900.60 880.60 900.60 910.60 880.60 900.60 89
EIA-MVS0.62 810.62 820.62 850.62 920.62 920.62 930.62 930.62 920.62 910.62 890.62 910.62 920.62 890.62 910.62 90
ETV-MVS0.62 810.62 820.62 850.62 920.62 920.62 930.62 930.62 920.62 910.62 890.62 910.62 920.62 890.62 910.62 90
CS-MVS0.62 810.62 820.62 850.62 920.62 920.62 930.62 930.62 920.62 910.62 890.62 910.62 920.62 890.62 910.62 90
SPE-MVS-test0.62 810.62 820.62 850.62 920.62 920.62 930.62 930.62 920.62 910.62 890.62 910.62 920.62 890.62 910.62 90
EC-MVSNet0.62 810.62 820.62 850.62 920.62 920.62 930.62 930.62 920.62 910.62 890.62 910.62 920.62 890.62 910.62 90
CDS-MVSNet0.88 860.88 870.88 910.88 980.88 980.88 980.88 990.88 980.88 970.88 950.88 970.88 980.88 960.88 960.88 96
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
TAMVS0.88 860.88 870.88 910.88 980.88 980.88 980.88 990.88 980.88 970.88 950.88 970.88 980.88 960.88 960.88 96
LCM-MVSNet-Re0.89 880.89 890.89 930.89 1000.89 1000.89 1000.89 1010.89 1000.89 990.89 970.89 990.89 1000.89 980.89 980.89 98
MDA-MVSNet-bldmvs1.20 891.20 901.20 951.20 1021.20 1031.20 1011.20 1041.20 1021.20 1011.20 991.20 1011.20 1021.20 1001.20 1001.20 100
YYNet11.20 891.20 901.20 951.20 1021.20 1031.20 1011.20 1041.20 1021.20 1011.20 991.20 1011.20 1021.20 1001.20 1001.20 100
MDA-MVSNet_test_wron1.20 891.20 901.20 951.20 1021.20 1031.20 1011.20 1041.20 1021.20 1011.20 991.20 1011.20 1021.20 1001.20 1001.20 100
KD-MVS_2432*16001.30 921.30 931.30 981.30 1051.30 1061.30 1041.30 1071.30 1051.30 1041.30 1021.30 1041.30 1051.30 1031.30 1031.30 103
miper_refine_blended1.30 921.30 931.30 981.30 1051.30 1061.30 1041.30 1071.30 1051.30 1041.30 1021.30 1041.30 1051.30 1031.30 1031.30 103
EI-MVSNet-UG-set1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
EI-MVSNet-Vis-set1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
EI-MVSNet1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
Regformer1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
CVMVSNet1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
EU-MVSNet1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
PS-CasMVS1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
UniMVSNet_NR-MVSNet1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
PEN-MVS1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
TransMVSNet (Re)1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
DTE-MVSNet1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
DU-MVS1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
UniMVSNet (Re)1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
CP-MVSNet1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
WR-MVS_H1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
WR-MVS1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
NR-MVSNet1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
Baseline_NR-MVSNet1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
TranMVSNet+NR-MVSNet1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
MVSFormer1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
jason1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
jason: jason.
lupinMVS1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
test_djsdf1.42 941.42 951.42 1001.42 1071.42 1081.42 1061.42 1091.42 1071.42 1061.42 1041.42 1061.42 1071.42 1051.42 1051.42 105
reproduce_monomvs1.48 1171.48 1181.48 1231.48 1311.48 1311.48 1291.48 1341.48 1301.48 1291.48 1271.48 1291.48 1301.48 1281.48 1281.48 128
mmtdpeth1.48 1171.48 1181.48 1231.48 1311.48 1311.48 1291.48 1341.48 1301.48 1291.48 1271.48 1291.48 1301.48 1281.48 1281.48 128
reproduce_model1.48 1171.48 1181.48 1231.48 1311.48 1311.48 1291.48 1341.48 1301.48 1291.48 1271.48 1291.48 1301.48 1281.48 1281.48 128
reproduce-ours1.48 1171.48 1181.48 1231.48 1311.48 1311.48 1291.48 1341.48 1301.48 1291.48 1271.48 1291.48 1301.48 1281.48 1281.48 128
our_new_method1.48 1171.48 1181.48 1231.48 1311.48 1311.48 1291.48 1341.48 1301.48 1291.48 1271.48 1291.48 1301.48 1281.48 1281.48 128
mmdepth1.48 1171.48 1181.48 1231.48 1311.48 1311.48 1291.48 1341.48 1301.48 1291.48 1271.48 1291.48 1301.48 1281.48 1281.48 128
monomultidepth1.48 1171.48 1181.48 1231.48 1311.48 1311.48 1291.48 1341.48 1301.48 1291.48 1271.48 1291.48 1301.48 1281.48 1281.48 128
mvs5depth1.48 1171.48 1181.48 1231.48 1311.48 1311.48 1291.48 1341.48 1301.48 1291.48 1271.48 1291.48 1301.48 1281.48 1281.48 128
MVStest11.48 1171.48 1181.48 1231.48 1311.48 1311.48 1291.48 1341.48 1301.48 1291.48 1271.48 1291.48 1301.48 1281.48 1281.48 128
ttmdpeth1.48 1171.48 1181.48 1231.48 1311.48 1311.48 1291.48 1341.48 1301.48 1291.48 1271.48 1291.48 1301.48 1281.48 1281.48 128
alignmvs2.00 1272.00 1282.00 1332.00 1412.00 1412.00 1392.00 1442.00 1402.00 1392.00 1372.00 1392.00 1402.00 1382.00 1382.00 138
nrg0302.00 1272.00 1282.00 1332.00 1412.00 1412.00 1392.00 1442.00 1402.00 1392.00 1372.00 1392.00 1402.00 1382.00 1382.00 138
LFMVS2.00 1272.00 1282.00 1332.00 1412.00 1412.00 1392.00 1442.00 1402.00 1392.00 1372.00 1392.00 1402.00 1382.00 1382.00 138
VDD-MVS2.00 1272.00 1282.00 1332.00 1412.00 1412.00 1392.00 1442.00 1402.00 1392.00 1372.00 1392.00 1402.00 1382.00 1382.00 138
VDDNet2.00 1272.00 1282.00 1332.00 1412.00 1412.00 1392.00 1442.00 1402.00 1392.00 1372.00 1392.00 1402.00 1382.00 1382.00 138
VPNet2.00 1272.00 1282.00 1332.00 1412.00 1412.00 1392.00 1442.00 1402.00 1392.00 1372.00 1392.00 1402.00 1382.00 1382.00 138
VNet2.00 1272.00 1282.00 1332.00 1412.00 1412.00 1392.00 1442.00 1402.00 1392.00 1372.00 1392.00 1402.00 1382.00 1382.00 138
VPA-MVSNet2.00 1272.00 1282.00 1332.00 1412.00 1412.00 1392.00 1442.00 1402.00 1392.00 1372.00 1392.00 1402.00 1382.00 1382.00 138
cascas2.00 1272.00 1282.00 1332.00 1412.00 1412.00 1392.00 1442.00 1402.00 1392.00 1372.00 1392.00 1402.00 1382.00 1382.00 138
UnsupCasMVSNet_eth5.90 1365.90 1375.90 1425.90 1505.90 1505.90 1495.90 1565.90 1505.90 1485.90 1465.90 1505.90 1495.90 1475.90 1505.90 150
UnsupCasMVSNet_bld5.90 1365.90 1375.90 1425.90 1505.90 1505.90 1495.90 1565.90 1505.90 1485.90 1465.90 1505.90 1495.90 1475.90 1505.90 150
WTY-MVS5.90 1365.90 1375.90 1425.90 1505.90 1505.90 1495.90 1565.90 1505.90 1485.90 1465.90 1505.90 1495.90 1475.90 1505.90 150
HY-MVS5.90 15.90 1365.90 1375.90 1425.90 1505.90 1505.90 1495.90 1565.90 1505.90 1485.90 1465.90 1505.90 1495.90 1475.90 1505.90 150
sss5.90 1365.90 1375.90 1425.90 1505.90 1505.90 1495.90 1565.90 1505.90 1485.90 1465.90 1505.90 1495.90 1475.90 1505.90 150
Test_1112_low_res5.90 1365.90 1375.90 1425.90 1505.90 1505.90 1495.90 1565.90 1505.90 1485.90 1465.90 1505.90 1495.90 1475.90 1505.90 150
1112_ss5.90 1365.90 1375.90 1425.90 1505.90 1505.90 1495.90 1565.90 1505.90 1485.90 1465.90 1505.90 1495.90 1475.90 1505.90 150
ab-mvs-re5.90 1365.90 1375.90 1425.90 1505.90 1505.90 1495.90 1565.90 1505.90 1485.90 1465.90 1505.90 1495.90 1475.90 1505.90 150
ab-mvs5.90 1365.90 1375.90 1425.90 1505.90 1505.90 1495.90 1565.90 1505.90 1485.90 1465.90 1505.90 1495.90 1475.90 1505.90 150
CDPH-MVS6.66 1456.66 1466.66 1516.66 1596.66 1596.66 1586.66 1656.66 1596.66 1576.66 1556.66 1596.66 1586.66 1566.66 1596.66 159
xiu_mvs_v1_base_debu10.28 14610.28 14810.28 15310.28 16110.28 16310.28 16110.28 16810.28 16210.28 16110.28 15710.28 16310.28 16110.28 15910.28 16210.28 161
xiu_mvs_v2_base10.28 14610.28 14810.28 15310.28 16110.28 16310.28 16110.28 16810.28 16210.28 16110.28 15710.28 16310.28 16110.28 15910.28 16210.28 161
xiu_mvs_v1_base10.28 14610.28 14810.28 15310.28 16110.28 16310.28 16110.28 16810.28 16210.28 16110.28 15710.28 16310.28 16110.28 15910.28 16210.28 161
xiu_mvs_v1_base_debi10.28 14610.28 14810.28 15310.28 16110.28 16310.28 16110.28 16810.28 16210.28 16110.28 15710.28 16310.28 16110.28 15910.28 16210.28 161
cdsmvs_eth3d_5k10.28 14610.28 14810.28 15310.28 16110.28 16310.28 16110.28 16810.28 16210.28 16110.28 15710.28 16310.28 16110.28 15910.28 16210.28 161
pcd_1.5k_mvsjas10.28 14610.28 14810.28 15310.28 16110.28 16310.28 16110.28 16810.28 16210.28 16110.28 15710.28 16310.28 16110.28 15910.28 16210.28 161
PS-MVSNAJss10.28 14610.28 14810.28 15310.28 16110.28 16310.28 16110.28 16810.28 16210.28 16110.28 15710.28 16310.28 16110.28 15910.28 16210.28 161
PS-MVSNAJ10.28 14610.28 14810.28 15310.28 16110.28 16310.28 16110.28 16810.28 16210.28 16110.28 15710.28 16310.28 16110.28 15910.28 16210.28 161
jajsoiax10.28 14610.28 14810.28 15310.28 16110.28 16310.28 16110.28 16810.28 16210.28 16110.28 15710.28 16310.28 16110.28 15910.28 16210.28 161
mvs_tets10.28 14610.28 14810.28 15310.28 16110.28 16310.28 16110.28 16810.28 16210.28 16110.28 15710.28 16310.28 16110.28 15910.28 16210.28 161
SR-MVS-dyc-post11.55 15611.55 15811.55 16511.55 17211.55 17411.55 17111.55 18011.55 17211.55 17211.55 16711.55 17411.55 17111.55 16911.55 17211.55 171
XXY-MVS15.00 15715.00 15915.00 16615.00 17315.00 17615.00 17215.00 18215.00 17315.00 17415.00 16815.00 17815.00 17315.00 17115.00 17415.00 173
test_method18.29 15820.89 16010.50 16315.00 17313.00 17555.00 1783.00 15434.00 17511.50 17132.50 1695.00 14913.50 17227.00 1735.00 1495.00 149
GeoE19.41 15922.09 16111.37 16417.21 17511.30 17350.50 1774.30 15533.60 17411.70 17344.50 1747.30 16018.90 17422.60 1727.10 1603.90 147
BH-w/o40.00 16040.00 16240.00 16840.00 17640.00 17740.00 17340.00 20140.00 17640.00 17640.00 17040.00 19540.00 17640.00 17440.00 18840.00 184
BH-untuned40.00 16040.00 16240.00 16840.00 17640.00 17740.00 17340.00 20140.00 17640.00 17640.00 17040.00 19540.00 17640.00 17440.00 18840.00 184
BH-RMVSNet40.00 16040.00 16240.00 16840.00 17640.00 17740.00 17340.00 20140.00 17640.00 17640.00 17040.00 19540.00 17640.00 17440.00 18840.00 184
TR-MVS40.00 16040.00 16240.00 16840.00 17640.00 17740.00 17340.00 20140.00 17640.00 17640.00 17040.00 19540.00 17640.00 17440.00 18840.00 184
GBi-Net44.67 16449.24 16630.96 16747.53 18047.57 181126.09 1798.00 16676.99 18026.09 17573.50 17611.27 17330.55 17561.12 17812.58 17314.75 172
dp87.20 165113.80 1697.42 15210.50 1718.88 160298.82 1862.70 153510.35 2057.79 158172.93 1793.37 1489.16 15914.00 1703.71 1484.23 148
new_pmnet88.14 16698.62 16756.70 17298.14 18756.07 182246.79 18115.37 183148.06 18150.77 180143.13 17723.35 17962.65 18093.26 17968.71 19851.38 194
N_pmnet88.14 16698.62 16756.70 17298.14 18756.07 182246.79 18115.37 183148.06 18150.77 180143.13 17723.35 17962.65 18093.26 17968.71 19851.38 194
CANet110.62 168124.04 17070.34 17582.03 18474.27 187325.54 18725.25 186207.16 18369.28 185194.38 18027.53 18195.79 189147.76 18337.43 17840.97 188
CANet_DTU110.62 168124.04 17070.34 17582.03 18474.27 187325.54 18725.25 186207.16 18369.28 185194.38 18027.53 18195.79 189147.76 18337.43 17840.97 188
UGNet110.62 168124.04 17070.34 17582.03 18474.27 187325.54 18725.25 186207.16 18369.28 185194.38 18027.53 18195.79 189147.76 18337.43 17840.97 188
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
ACMMP_NAP118.81 171133.18 17375.70 17874.28 18273.29 185284.50 18311.35 178238.58 18765.86 183255.35 19514.55 176115.69 197222.18 19731.94 17638.12 182
FMVSNet5124.76 172140.93 17476.26 180107.44 190100.17 194329.88 19027.12 192259.44 19274.30 188204.34 18330.74 18492.41 182196.98 18638.15 18136.19 175
test1124.76 172140.93 17476.26 180107.44 190100.17 194329.88 19027.12 192259.44 19274.30 188204.34 18330.74 18492.41 182196.98 18638.15 18136.19 175
FMVSNet3124.76 172140.93 17476.26 180107.44 190100.17 194329.88 19027.12 192259.44 19274.30 188204.34 18330.74 18492.41 182196.98 18638.15 18136.19 175
FMVSNet2124.76 172140.93 17476.26 180107.44 190100.17 194329.88 19027.12 192259.44 19274.30 188204.34 18330.74 18492.41 182196.98 18638.15 18136.19 175
FMVSNet1124.76 172140.93 17476.26 180107.44 190100.17 194329.88 19027.12 192259.44 19274.30 188204.34 18330.74 18492.41 182196.98 18638.15 18136.19 175
MIMVSNet1124.76 172140.93 17476.26 180107.44 190100.17 194329.88 19027.12 192259.44 19274.30 188204.34 18330.74 18492.41 182196.98 18638.15 18136.19 175
MIMVSNet124.76 172140.93 17476.26 180107.44 190100.17 194329.88 19027.12 192259.44 19274.30 188204.34 18330.74 18492.41 182196.98 18638.15 18136.19 175
DSMNet-mixed131.33 179143.00 18196.33 19099.00 18981.00 190201.00 18045.00 206335.00 19999.00 198251.00 19438.00 194110.00 196120.00 18299.00 20498.00 200
PVSNet_Blended_VisFu136.90 180155.40 18281.40 187111.00 19796.20 191407.00 19725.90 189251.60 18985.10 195240.50 19137.00 19199.90 192199.80 19340.70 19248.10 191
PVSNet_BlendedMVS136.90 180155.40 18281.40 187111.00 19796.20 191407.00 19725.90 189251.60 18985.10 195240.50 19137.00 19199.90 192199.80 19340.70 19248.10 191
PVSNet_Blended136.90 180155.40 18281.40 187111.00 19796.20 191407.00 19725.90 189251.60 18985.10 195240.50 19137.00 19199.90 192199.80 19340.70 19248.10 191
BP-MVS1202.65 183232.15 185114.16 191183.40 201141.78 201655.87 20524.69 185372.56 200109.76 199356.89 19747.15 199139.51 199284.15 19954.86 19561.20 196
FE-MVS207.10 184234.26 186125.61 192180.34 200153.23 202635.64 20430.05 199378.38 201127.68 200377.08 19848.95 200154.43 200266.67 19863.56 19669.18 197
GDP-MVS219.79 185249.11 187131.85 193187.15 202155.97 203667.31 20630.57 200398.95 202131.26 201387.86 19958.83 202164.55 201315.00 20065.03 19775.04 198
FA-MVS(test-final)261.15 186293.29 188164.72 194236.23 205199.99 208800.05 21242.35 205475.87 204155.47 202470.67 20158.49 201205.24 203319.44 20181.03 20188.93 199
DP-MVS264.78 187296.02 189171.04 196191.70 203183.96 205827.10 21378.36 217438.24 203176.64 204435.12 20065.04 204230.52 206334.02 202117.96 21298.64 201
kuosan267.89 188301.05 190168.41 195244.05 206177.28 204667.98 20765.76 208533.41 206157.79 203492.01 202104.69 217226.72 204364.47 20479.31 200101.21 202
WB-MVS316.44 189357.41 191193.51 198257.06 207213.32 211914.45 21549.03 207600.77 212186.42 206634.00 21475.03 207251.35 208411.39 20588.55 202115.87 204
SSC-MVS320.23 190364.09 192188.66 197260.78 208193.84 206975.93 22173.11 213596.72 211185.29 205589.02 20874.47 206246.01 207427.42 20894.06 203126.12 205
UWE-MVS-28327.73 191369.67 193201.90 199281.09 214210.75 209832.98 21474.67 216680.98 219198.23 207613.42 211112.56 220259.80 209418.76 206114.35 206135.15 211
testing91347.05 192389.92 194218.43 201275.92 212241.43 213923.71 21771.70 209667.65 217217.04 211629.00 212113.33 221281.39 211495.50 211115.45 208132.47 208
testing11348.86 193393.09 195216.15 200275.24 211239.53 212915.55 21672.35 210679.89 218215.75 210633.79 213118.08 222276.62 210509.56 219117.61 211132.30 207
dongtai360.45 194401.64 196236.89 204303.10 215262.16 219963.12 21872.78 211622.82 215199.37 208708.06 217130.96 225310.90 214506.46 218108.11 205137.60 212
Syy-MVS370.76 195415.60 198236.25 203310.54 216210.76 210965.13 21998.58 232746.06 224266.26 218788.85 22491.37 211364.76 222357.17 203116.42 209133.22 209
tmp_tt371.08 196412.78 197246.00 207231.00 204197.00 2071293.00 240376.00 281756.00 226609.00 25971.00 175106.00 218195.00 202102.00 181171.00 229346.00 255
UWE-MVS387.98 197438.66 200235.93 202349.32 221257.61 2171081.50 22982.45 221637.74 216257.12 215738.54 219134.25 226308.00 212531.93 221135.11 215142.17 213
myMVS_eth3d390.90 198437.44 199251.28 209310.54 216255.86 216965.13 21998.58 232746.06 224266.26 218788.85 224154.95 233364.76 222490.19 210116.42 209133.22 209
RPSCF394.81 199445.63 201242.35 205276.55 213253.63 2151207.27 23790.69 226715.56 220241.57 214684.87 215111.96 219320.02 216548.38 223133.81 214153.39 217
WB-MVSnew404.84 200458.00 202245.36 206374.70 225320.27 2271193.74 23672.90 212773.77 227238.30 212688.22 21690.05 210308.59 213532.76 222157.54 223107.21 203
testing99408.82 201462.15 203248.86 208322.45 218269.42 2201118.93 23273.26 214719.36 222262.28 216772.10 221150.98 232327.08 217601.98 227137.99 216150.07 215
testing3418.10 202469.06 204265.23 212335.69 219290.63 2221240.88 23893.72 227717.99 221215.31 209811.97 230232.41 264358.74 220458.67 209114.88 207146.32 214
myMVS_eth3d28418.40 203473.07 205254.39 210261.18 209313.04 2231172.79 23574.16 215929.18 235264.68 217745.72 220139.03 230318.91 215549.18 224121.71 213131.21 206
testing222430.52 204487.50 208259.56 211379.87 229282.69 2211138.34 23381.30 219880.86 231281.58 221834.27 232135.83 228333.22 218514.90 220140.56 217162.76 218
EG-PatchMatch MVS437.03 205493.12 209268.77 213264.80 210260.20 2181491.80 24498.00 231723.20 223238.80 213722.40 21863.10 203382.00 226629.00 231207.00 238164.10 221
ADS-MVSNet2443.33 206482.84 206324.79 225434.94 238387.73 2361110.57 23087.69 223887.02 232282.92 222779.29 22298.57 215422.76 234502.40 212162.19 227163.87 219
ADS-MVSNet443.33 206482.84 206324.79 225434.94 238387.73 2361110.57 23087.69 223887.02 232282.92 222779.29 22298.57 215422.76 234502.40 212162.19 227163.87 219
ETVMVS443.50 208498.07 210279.78 214378.05 228321.57 2281163.68 23487.12 222897.50 234269.81 220822.83 231141.20 231334.53 219568.21 226154.21 218183.26 225
MVP-Stereo473.58 209533.67 211293.33 216376.00 226318.00 2241461.00 24296.00 228835.00 229290.00 225804.00 22797.00 213383.00 228688.00 239156.00 220179.00 223
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
MS-PatchMatch473.58 209533.67 211293.33 216376.00 226318.00 2241461.00 24296.00 228835.00 229290.00 225804.00 22797.00 213383.00 228688.00 239156.00 220179.00 223
testing3-2489.51 211555.88 214290.42 215362.21 223319.27 2261424.84 24188.81 225964.80 236309.62 228879.13 234174.38 240363.98 221643.82 235155.29 219188.01 226
PatchmatchNetpermissive492.52 212551.22 213316.40 223400.20 234357.90 2341277.10 239115.80 2391034.60 245315.90 229874.00 233155.10 234402.20 231629.50 232158.80 224189.10 227
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
tpmvs501.65 213567.42 215304.33 219395.39 233356.32 2331512.04 245216.53 268994.15 238350.16 234804.16 229119.38 223380.98 225555.14 225159.87 225175.69 222
DELS-MVS514.57 214587.73 217295.12 218343.03 220328.09 2311540.48 246116.22 240988.59 237325.44 232906.22 235119.86 224365.72 224788.60 243161.09 226191.55 229
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
DP-MVS Recon516.25 215581.17 216321.48 224361.02 222429.00 2401995.36 25278.48 218796.20 228283.32 224796.02 22696.78 212382.98 227636.72 233186.66 235152.46 216
gg-mvs-nofinetune594.69 216605.37 218562.67 246617.29 254500.33 244772.30 208413.12 289579.21 207552.71 253567.40 203662.54 308531.67 238503.93 214779.80 286656.02 270
SR-MVS610.10 217610.10 219610.10 251610.10 248610.10 261610.10 202610.10 313610.10 213610.10 260610.10 209610.10 296610.10 254610.10 228610.10 269610.10 267
CR-MVSNet612.36 218617.81 221596.01 249611.29 250600.33 258790.30 209513.12 304579.21 207552.71 253567.40 203662.54 308531.67 238503.93 214779.80 286656.02 270
IterMVS615.05 219691.66 222385.23 229516.40 241454.80 2411863.80 250102.10 2361142.20 247364.10 2351093.20 249135.00 227480.40 237826.90 244181.20 232220.50 233
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IB-MVS872.44 4616.41 220700.96 223362.78 227426.10 237409.25 2381822.69 249124.42 2511186.23 248366.85 2361079.42 247190.60 252451.78 236930.72 248181.59 233227.30 234
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
WBMVS655.88 221770.84 226310.98 222391.79 232353.00 2322280.68 25499.17 2351776.79 268301.20 2271123.23 250187.34 250390.28 230620.39 230156.98 222189.66 228
ACMH+729.97 2661.38 222754.00 224383.51 228368.96 224376.38 2352483.74 26682.42 2201089.25 246333.39 2331219.68 25166.53 205573.60 251957.86 249184.14 234200.56 232
SSC-MVS3.2667.82 223787.71 227308.16 220385.94 230327.65 2291718.51 247117.00 2411942.46 273317.12 2301488.73 264183.89 241404.82 232763.70 241172.02 230192.01 230
UBG667.82 223787.71 227308.16 220385.94 230327.65 2291718.51 247117.00 2411942.46 273317.12 2301488.73 264183.89 241404.82 232763.70 241172.02 230192.01 230
Gipumacopyleft689.75 225767.00 225458.00 238613.00 253549.00 2561943.00 251187.00 2651230.00 249518.00 2501092.00 248203.00 258564.00 243892.00 247225.00 248261.00 242
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
IterMVS-LS758.94 226856.56 231466.10 239606.60 246546.80 2542309.90 255122.20 2501402.80 253463.50 2401348.20 253192.60 253574.60 2521028.60 259234.60 250276.90 244
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
new-patchmatchnet766.12 227859.03 232487.38 242595.68 243536.14 2462346.27 256142.51 2561488.08 255422.43 2371361.32 255163.65 237628.60 2561003.74 258207.61 239297.41 248
SixPastTwentyTwo773.62 228869.37 234486.35 241603.45 245547.15 2552532.14 267106.92 2381434.95 254428.08 2381360.56 254165.15 238628.96 257984.09 250209.01 240282.94 245
mvs_anonymous774.90 229882.28 235452.77 231636.50 255537.20 2472348.80 257120.30 2431504.30 256474.40 2411371.10 256186.90 243564.70 2441078.90 261219.30 241256.40 235
casdiffmvspermissive774.90 229882.28 235452.77 231636.50 255537.20 2472348.80 257120.30 2431504.30 256474.40 2411371.10 256186.90 243564.70 2441078.90 261219.30 241256.40 235
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 229882.28 235452.77 231636.50 255537.20 2472348.80 257120.30 2431504.30 256474.40 2411371.10 256186.90 243564.70 2441078.90 261219.30 241256.40 235
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 229882.28 235452.77 231636.50 255537.20 2472348.80 257120.30 2431504.30 256474.40 2411371.10 256186.90 243564.70 2441078.90 261219.30 241256.40 235
baseline1774.90 229882.28 235452.77 231636.50 255537.20 2472348.80 257120.30 2431504.30 256474.40 2411371.10 256186.90 243564.70 2441078.90 261219.30 241256.40 235
casdiffmvs_mvgpermissive774.90 229882.28 235452.77 231636.50 255537.20 2472348.80 257120.30 2431504.30 256474.40 2411371.10 256186.90 243564.70 2441078.90 261219.30 241256.40 235
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 229882.28 235452.77 231636.50 255537.20 2472348.80 257120.30 2431504.30 256474.40 2411371.10 256186.90 243564.70 2441078.90 261219.30 241256.40 235
RPMNet787.26 236829.13 229661.63 255885.90 270895.90 278455.98 200610.10 3131297.17 2501002.26 2821001.67 245655.98 306611.10 255667.90 236885.21 298477.90 264
JIA-IIPM804.30 237835.64 230710.26 260885.90 270895.90 278455.98 200668.73 3181297.17 2501002.26 2821001.67 245655.98 306756.98 261667.90 236885.21 298477.90 264
CSCG826.03 238963.29 243414.24 230421.52 236426.11 2392230.35 253179.52 2641827.44 269733.43 270933.12 237281.25 266545.23 2421800.35 278262.64 252271.38 243
PVSNet1207.94 6829.56 239937.18 242506.69 243645.55 262585.72 2572477.98 265130.52 2521578.29 264509.50 2491460.01 263194.90 254637.19 2581170.78 269267.07 254297.17 247
PatchT856.34 240860.99 233842.38 2651290.90 285880.90 276790.30 2091267.30 336579.21 207923.90 272567.40 203662.54 308990.23 269887.56 246779.80 286656.02 270
K. test v3877.74 241980.16 244570.46 2481316.85 287813.15 2732565.52 268103.78 2371509.49 263548.33 2521258.90 252219.93 263587.82 2531102.37 268196.30 236310.42 250
MVSTER890.06 2421005.91 251542.52 244736.13 267653.90 2652616.56 269145.22 2581692.10 267555.69 2561554.72 267266.25 265660.02 2591219.66 270266.84 253313.64 251
PMVScopyleft863.65 3957.08 2431054.11 252666.00 257401.00 235495.00 2433790.00 274279.00 2701607.00 266521.00 2511745.00 26990.00 2081105.00 280639.00 234415.00 265398.00 262
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
ACMH993.80 5967.92 2441106.11 254553.33 245494.00 240534.00 2453581.00 272136.00 2531585.00 265478.00 2481871.00 27190.00 208839.00 2631460.00 272260.00 251287.00 246
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
PVSNet_01661.03 9968.54 2451066.82 253673.70 258706.94 265695.69 2662669.02 270153.52 2602108.17 276605.54 2581679.14 268213.26 262886.75 2661236.76 271229.01 249438.67 263
OurMVSNet-221017-0999.00 246999.00 245999.00 266999.00 275999.00 280999.00 222999.00 329999.00 239999.00 275999.00 238999.00 321999.00 271999.00 251999.00 305999.00 302
EPMVS999.00 246999.00 245999.00 266999.00 275999.00 280999.00 222999.00 329999.00 239999.00 275999.00 238999.00 321999.00 271999.00 251999.00 305999.00 302
uanet_test1000.00 2481000.00 2471000.00 2691000.00 2781000.00 2831000.00 2251000.00 3321000.00 2411000.00 2781000.00 2411000.00 3241000.00 2741000.00 2541000.00 3081000.00 305
sosnet1000.00 2481000.00 2471000.00 2691000.00 2781000.00 2831000.00 2251000.00 3321000.00 2411000.00 2781000.00 2411000.00 3241000.00 2741000.00 2541000.00 3081000.00 305
USDC1000.00 2481000.00 2471000.00 2691000.00 2781000.00 2831000.00 2251000.00 3321000.00 2411000.00 2781000.00 2411000.00 3241000.00 2741000.00 2541000.00 3081000.00 305
TinyColmap1000.00 2481000.00 2471000.00 2691000.00 2781000.00 2831000.00 2251000.00 3321000.00 2411000.00 2781000.00 2411000.00 3241000.00 2741000.00 2541000.00 3081000.00 305
ACMP1246.57 71086.24 2521235.17 256639.45 252596.53 244639.91 2633904.24 275152.04 2591851.54 270566.58 2571997.95 273138.50 229938.30 2671605.46 274303.70 260340.14 253
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
Patchmtry1090.75 2531198.88 255766.38 2641290.90 285485.90 2422423.98 2641267.30 3361297.17 250923.90 272923.40 2361215.54 329990.23 269667.90 236779.80 286823.02 284
test_04021110.00 2541260.00 257660.00 254900.00 273780.00 2723300.00 271210.00 2672040.00 275690.00 2651950.00 272300.00 269810.00 2621620.00 275330.00 261390.00 261
MVS_111021_LR1136.45 2551298.72 258649.64 253756.17 268726.26 2693785.94 273138.15 2552190.64 277629.63 2632064.39 274165.45 239874.83 2651678.43 277279.70 255347.82 256
ACMM1311.08 81165.06 2561332.72 259662.07 256584.90 242715.99 2684373.59 279153.99 2611880.27 271709.02 2672316.97 275188.63 251939.89 2681484.30 273302.78 259330.34 252
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
MSLP-MVS++1242.93 2571411.08 260738.48 262712.71 266712.68 2674168.17 277136.50 2542276.40 278613.28 2622368.60 278161.61 2361130.38 2811964.54 281297.88 257372.39 258
MG-MVS1256.50 2581432.00 261730.00 261610.00 247760.00 2704720.00 280169.00 2621920.00 272723.00 2692510.00 281201.00 2561050.00 2781645.00 276390.00 264380.00 259
ACMMPR1296.60 2591480.82 262743.96 263899.25 272763.47 2714305.47 278143.90 2572530.94 281683.99 2642346.34 277201.65 2571098.25 2791920.59 280295.21 256370.16 257
TSAR-MVS + GP.1386.84 2601622.84 264678.81 259952.13 274840.17 2755358.21 283170.75 2632650.47 282713.54 2682394.28 279209.42 261855.56 2641854.36 279302.42 258340.71 254
FPMVS1407.00 2611495.59 2631141.23 274648.01 263893.85 2774124.00 276503.81 3033219.04 284742.72 2712498.84 280157.98 2351727.83 287832.93 245732.98 285802.00 279
DeepC-MVS_fast2190.19 121535.59 2621886.82 266481.89 240847.73 269830.16 2747943.84 299189.23 2662398.83 279691.73 2662341.13 276209.16 260230.25 2051999.25 282360.46 262385.25 260
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
COLMAP_ROBcopyleft2144.59 111658.33 2631869.33 2651025.33 2731030.00 2821023.00 2875311.00 282359.00 2793044.00 283937.00 2742892.00 282332.00 2731440.00 2842312.00 284607.00 268613.00 269
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
F-COLMAP1878.17 2642113.11 2671173.33 2771231.00 2831174.00 2886297.00 285392.00 2843356.00 2861087.00 2843082.00 283361.00 2771670.00 2862523.00 286689.00 275676.00 274
OpenMVS_ROBcopyleft1936.51 101959.51 2652224.88 2691163.39 2761253.91 2841434.22 2917065.71 289272.76 2692472.29 2801647.54 3143538.72 286200.37 2551496.48 2852575.17 287997.45 304559.48 266
CMPMVSbinary2623.62 151983.08 2662156.14 2681463.89 2871414.80 2891517.00 2935239.20 281867.40 3233310.30 2851128.70 2863489.90 285366.75 2782030.20 2982427.60 2851160.60 317844.46 287
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
MVS-HIRNet2125.39 2672452.68 2701143.53 2752938.33 3301446.92 2926083.19 284391.74 2833801.71 2891202.10 2883439.72 284492.73 2871304.35 2833048.25 291676.32 274679.32 275
PLCcopyleft2858.82 162192.92 2682474.00 2711349.67 2791407.00 2881356.00 2907164.00 290475.00 2963970.00 2901237.00 2913765.00 289451.00 2841891.00 2923006.00 290791.00 291802.00 279
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
OpenMVScopyleft2352.88 132263.08 2692530.89 2721459.67 2861767.00 3001591.00 2967932.00 298399.00 2853643.00 2871176.00 2873569.00 287297.00 2681927.00 2943302.00 292693.00 280861.00 288
PCF-MVS4335.85 202272.23 2702597.03 2731297.84 2781701.20 2921332.37 2898105.11 300451.45 2924031.84 2911099.10 2853966.50 290467.45 2851734.05 2882701.68 289848.94 295827.11 285
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
CHOSEN 280x4202340.81 2712643.03 2741434.14 2802025.55 3091629.36 3006542.40 286412.49 2864219.70 2931547.02 3024328.52 292650.74 3031798.26 2893333.17 293727.72 282874.79 289
CHOSEN 1792x26882340.81 2712643.03 2741434.14 2802025.55 3091629.36 3006542.40 286412.49 2864219.70 2931547.02 3024328.52 292650.74 3031798.26 2893333.17 293727.72 282874.79 289
HyFIR lowres test2340.81 2712643.03 2741434.14 2802025.55 3091629.36 3006542.40 286412.49 2864219.70 2931547.02 3024328.52 292650.74 3031798.26 2893333.17 293727.72 282874.79 289
3Dnovator2482.06 142531.17 2742839.56 2771606.00 2881732.00 2961557.00 2958375.00 302483.00 2974370.00 2961371.00 2974200.00 291350.00 2752207.00 2993877.00 299798.00 2921054.00 309
tpmrst2557.50 2752847.12 2781688.66 2911784.08 3011778.25 3107445.50 296342.14 2764471.54 2971534.55 3014382.10 295530.10 2912361.21 3024142.81 303991.22 303926.51 294
AdaColmapbinary2570.77 2762948.61 2791437.24 2831873.64 3021526.60 2947819.77 297373.97 2804970.45 3001479.29 2994648.46 297525.80 2901904.97 2934150.42 304695.69 281880.14 292
SD-MVS2654.53 2773055.56 2821451.45 2841725.60 2931598.35 2979203.30 306315.86 2735016.02 3021363.85 2944894.28 300387.23 2792023.43 2953973.88 300620.04 271732.56 276
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
DeepPCF-MVS3452.42 182670.71 2783021.57 2801618.12 2892377.67 3161751.39 3098915.70 305567.44 3114569.74 2981236.84 2904615.63 296513.23 2882291.32 3003515.48 296882.39 297811.66 281
LF4IMVS2699.50 2793049.67 2811649.00 2901755.00 2971689.00 3048330.00 301464.00 2944997.00 3011528.00 3004763.00 299568.00 2942296.00 3014215.00 305827.00 294962.00 299
EGC-MVSNET2819.75 2803096.89 2831988.33 3013105.00 3312241.00 3219480.00 310640.00 3174209.00 2921583.00 3074740.00 298547.00 2932797.00 3142644.00 288924.00 301927.00 295
Vis-MVSNetpermissive2877.42 2813170.00 2841999.67 3021673.00 2912042.00 3198593.00 303474.00 2956452.00 3151268.00 2925125.00 303339.00 2743004.00 3164222.00 306384.00 263953.00 298
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
SteuartSystems-ACMMP2891.50 2823284.78 2851711.67 2921954.00 3031655.00 30310117.00 319445.00 2915102.00 3051375.00 2985126.00 304351.00 2762638.00 3124402.00 307691.00 278842.00 286
Skip Steuart: Steuart Systems R&D Blog.
3Dnovator+3414.41 173146.67 2833537.00 2861975.67 2992310.00 3142005.00 31810100.00 318626.00 3165753.00 3061803.00 3175179.00 305487.00 2862622.00 3104550.00 3081025.00 3121300.00 316
DeepC-MVS3917.13 193155.06 2843601.83 2871814.72 2972515.52 3191941.53 31410432.50 320589.42 3124789.45 2991298.65 2937677.31 321578.35 2952589.53 3063611.78 298923.52 300913.10 293
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
DPM-MVS3268.00 2853762.89 2881783.33 2951756.00 2981806.00 31112319.00 322307.00 2716319.00 3131557.00 3055763.00 306302.00 2702609.00 3085061.00 311482.00 266935.00 296
OPM-MVS3268.00 2853762.89 2881783.33 2951756.00 2981806.00 31112319.00 322307.00 2716319.00 3131557.00 3055763.00 306302.00 2702609.00 3085061.00 311482.00 266935.00 296
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
TAPA-MVS6309.84 213374.90 2873806.99 2902078.63 3042535.47 3202499.25 3298816.16 304456.05 2936255.60 3121664.52 3156704.88 311629.95 3012768.38 3136343.93 325856.35 296968.25 300
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
TSAR-MVS + MP.3528.01 2884065.89 2951914.35 2982349.10 3152141.30 32012362.70 324417.60 2906717.80 3191759.40 3166497.50 309518.18 2892629.38 3115164.32 313806.40 293972.38 301
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
tpm23617.85 2894007.23 2912449.73 3092012.71 3051698.05 3057351.19 292869.29 3246132.06 3081588.28 3088007.42 3241281.09 3303888.11 3287472.04 3291351.00 3191763.02 325
tpm cat13617.85 2894007.23 2912449.73 3092012.71 3051698.05 3057351.19 292869.29 3246132.06 3081588.28 3088007.42 3241281.09 3303888.11 3287472.04 3291351.00 3191763.02 325
CostFormer3617.85 2894007.23 2912449.73 3092012.71 3051698.05 3057351.19 292869.29 3246132.06 3081588.28 3088007.42 3241281.09 3303888.11 3287472.04 3291351.00 3191763.02 325
tpm3617.85 2894007.23 2912449.73 3092012.71 3051698.05 3057351.19 292869.29 3246132.06 3081588.28 3088007.42 3241281.09 3303888.11 3287472.04 3291351.00 3191763.02 325
MVS_111021_HR3742.80 2934330.34 2961980.20 3002484.31 3182259.52 32214973.80 329515.90 3106500.13 3161949.21 3196146.89 308535.66 2922593.66 3074880.76 310986.37 3021087.43 310
MAR-MVS3973.16 2944387.92 2972728.86 3153345.27 3323341.39 33611403.90 321798.76 3216555.62 3182569.29 3296514.86 310834.97 3153237.43 3255891.08 3161577.54 3241607.76 317
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
DVP-MVS++3981.10 2954731.32 3001730.42 2932191.51 3121949.98 31516473.90 331355.33 2777172.90 3241622.98 3127879.79 322434.33 2822428.11 3045762.12 314689.04 276813.18 282
DVP-MVScopyleft3981.10 2954731.32 3001730.42 2932191.51 3121949.98 31516473.90 331355.33 2777172.90 3241622.98 3127879.79 322434.33 2822428.11 3045762.12 314689.04 276813.18 282
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
GST-MVS4000.00 2974533.33 2982400.00 3082400.00 3172400.00 3237200.00 2912400.00 3407200.00 3262400.00 3287200.00 3162400.00 3342400.00 3037200.00 3272400.00 3312400.00 330
SED-MVS4062.74 2984671.13 2992237.56 3052643.17 3212465.14 32413996.40 326493.26 2987619.38 3272107.24 3207416.93 318610.24 2983088.29 3216075.14 3211078.39 3131159.26 311
MSP-MVS4296.20 2994911.12 3032451.45 3132725.60 3262598.35 33016203.30 330515.86 3067016.02 3202363.85 3246894.28 312887.23 3163023.43 3175973.88 3171620.04 3251732.56 321
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
API-MVS4380.83 3004906.56 3022803.67 3163844.00 3333116.00 33513454.00 325901.00 3286511.00 3172794.00 3307365.00 317754.00 3123634.00 3266622.00 3261914.00 3301661.00 320
OMC-MVS5022.26 3015748.82 3042842.58 3174905.27 3353101.27 33414933.60 328812.24 3229278.40 3312959.29 3318800.17 3281092.24 3283806.30 3277568.54 3331389.60 3231620.18 319
CLD-MVS7338.25 3028341.00 3054330.00 3184902.00 3344991.00 33723318.00 334728.00 32014437.00 3414378.00 33313379.00 336824.00 3145708.00 33211429.00 3421674.00 3292291.00 329
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
LS3D7684.71 3038776.23 3064410.16 3195298.55 3365631.53 33834329.90 3361504.57 33811554.00 3403896.41 33215111.00 337812.19 3135985.63 3333516.20 2972963.23 3321613.31 318
ZNCC-MVS9999.00 3049999.00 3079999.00 3219999.00 3399999.00 3419999.00 3119999.00 3449999.00 3329999.00 3369999.00 3299999.00 3379999.00 3349999.00 3349999.00 3359999.00 333
patch_mono-210000.00 30510000.00 30810000.00 32210000.00 34010000.00 34210000.00 31210000.00 34510000.00 33310000.00 33710000.00 33010000.00 33810000.00 33510000.00 33510000.00 33610000.00 334
dcpmvs_210000.00 30510000.00 30810000.00 32210000.00 34010000.00 34210000.00 31210000.00 34510000.00 33310000.00 33710000.00 33010000.00 33810000.00 33510000.00 33510000.00 33610000.00 334
DCPMVS10000.00 30510000.00 30810000.00 32210000.00 34010000.00 34210000.00 31210000.00 34510000.00 33310000.00 33710000.00 33010000.00 33810000.00 33510000.00 33510000.00 33610000.00 334
UA-Net10000.00 30510000.00 30810000.00 32210000.00 34010000.00 34210000.00 31210000.00 34510000.00 33310000.00 33710000.00 33010000.00 33810000.00 33510000.00 33510000.00 33610000.00 334
uncertanet10000.00 30510000.00 30810000.00 32210000.00 34010000.00 34210000.00 31210000.00 34510000.00 33310000.00 33710000.00 33010000.00 33810000.00 33510000.00 33510000.00 33610000.00 334
uanet10000.00 30510000.00 30810000.00 32210000.00 34010000.00 34210000.00 31210000.00 34510000.00 33310000.00 33710000.00 33010000.00 33810000.00 33510000.00 33510000.00 33610000.00 334
MVEpermissive10021.00 2210550.67 31110002.44 31412195.33 3286242.00 3378768.00 34030896.00 3354451.00 34110331.00 3396247.00 33418296.00 338283.00 26721484.00 3427364.00 3285912.00 3346334.00 332
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
CNLPA10738.67 31211772.44 3157637.33 3209120.00 3388206.00 33922252.00 3332010.00 33924984.00 3427458.00 33522596.00 3392940.00 33510260.00 34111100.00 3413492.00 3334446.00 331
LTVRE_ROB20565.47 2323378.08 31322805.00 31625097.33 32915500.00 34619201.00 34842712.00 3376055.00 34238388.00 34316926.00 34338534.00 3407071.00 33635653.00 34329475.00 34310584.00 34220438.00 341
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 31434443.44 31727094.33 33029249.00 34725246.00 34951144.00 3386705.00 34342886.00 34422888.00 34448534.00 34113263.00 34437507.00 34479298.00 34416024.00 34318530.00 340
114514_t99999.00 31599999.00 31899999.00 33199999.00 34899999.00 35099999.00 33999999.00 35199999.00 34599999.00 34599999.00 34299999.00 34599999.00 34599999.00 34599999.00 34499999.00 342
PHI-MVS99999.00 31599999.00 31899999.00 33199999.00 34899999.00 35099999.00 33999999.00 35199999.00 34599999.00 34599999.00 34299999.00 34599999.00 34599999.00 34599999.00 34499999.00 342
MP-MVS-pluss833433.63 3171111219.60 32375.70 17874.28 18273.29 185284.50 18311.35 178238.58 18765.86 183255.35 19514.55 176115.69 19710000000.00 35031.94 17638.12 182
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
MTAPA833442.10 3181111233.77 32467.09 17465.59 18164.81 184284.50 18310000000.00 356219.97 18659.62 182229.89 19012.72 175103.00 195203.67 19627.93 17533.46 174
XVG-OURS-SEG-HR999999.00 319999999.00 320999999.00 333999999.00 350999999.00 352999999.00 341999999.00 353999999.00 347999999.00 347999999.00 344999999.00 347999999.00 347999999.00 347999999.00 346999999.00 344
XVG-OURS999999.00 319999999.00 320999999.00 333999999.00 350999999.00 352999999.00 341999999.00 353999999.00 347999999.00 347999999.00 344999999.00 347999999.00 347999999.00 347999999.00 346999999.00 344
XVG-ACMP-BASELINE999999.00 319999999.00 320999999.00 333999999.00 350999999.00 352999999.00 341999999.00 353999999.00 347999999.00 347999999.00 344999999.00 347999999.00 347999999.00 347999999.00 346999999.00 344
mamba_040810000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
icg_test_0407_210000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
SSM_0407210000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
SSM_040710000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
IMVS_040710000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
IMVS_040410000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
SSM_040410000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
IMVS_040310000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
SD_040310000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
NormalMVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
lecture10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
SymmetryMVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
Elysia10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
StellarMVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
KinetiMVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
LuminaMVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
VortexMVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
AstraMVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
guyue10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
sc_t110000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
tt0320-xc10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
tt032010000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
MVSMamba_PlusPlus10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
MGCFI-Net10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
sasdasda10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
dmvs_re10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
SDMVSNet10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
dmvs_testset10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
sd_testset10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
balanced_conf0310000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
MonoMVSNet10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
test250610000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
test111110000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
ECVR-MVScopyleft10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
test_blank10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
tt080510000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
Anonymous2024052110000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
cl2210000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
miper_ehance_all_eth10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
miper_enhance_ethall10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
cl____10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
DIV-MVS_self_test10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
eth_miper_zixun_eth10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
ET-MVSNet_ETH3D10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
UniMVSNet_ETH3D10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
miper_lstm_enhance10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
D2MVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
test_yl10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
thisisatest053010000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
Anonymous2024052910000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
Anonymous20240521110000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
DCV-MVSNet10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
tttt051710000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
our_test_310000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
thisisatest051510000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
ppachtmachnet_test10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
SMA-MVScopyleft10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
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 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
thres100view90010000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
tfpnnormal10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
tfpn200view910000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
c3_l10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
IterMVS-SCA-FT10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
pmmvs610000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
pmmvs510000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
Anonymous2023121110000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
pmmvs-eth3d10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
Anonymous2023120610000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
SCA10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
Patchmatch-test10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
Patchmatch-RL test10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
canonicalmvs10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
anonymousdsp10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
FIs10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
FC-MVSNet-test10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
sosnet-low-res10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
AllTest10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
RRT-MVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
mamv410000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
HPM-MVS++copyleft10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
XVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
pm-mvs110000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
X-MVStestdata10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
APDe-MVScopyleft10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
Zhaojie Zeng, Yuesong Wang, Tao Guan: Matching Ambiguity-Resilient Multi-View Stereo via Adaptive Patch Deformation. Pattern Recognition
APD-MVS_3200maxsize10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
pmmvs410000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
test-LLR10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
TESTMET0.1,110000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
test-mter10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
testgi10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
test20.0310000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
thres600view710000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
MP-MVScopyleft10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
testmvs10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
thres40010000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
test12310000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
thres20010000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
test0.0.03 110000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
pmmvs310000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
EMVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
E-PMN10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
PGM-MVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
MCST-MVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
MVS_Test10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
PMMVS210000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
PM-MVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
HQP_MVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
mPP-MVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
mvsmamba10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
HPM-MVS_fast10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
HPM-MVScopyleft10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
LPG-MVS_test10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
EPNet_dtu10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
EPNet10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
CNVR-MVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
NCCC10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
CP-MVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
CPTT-MVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
HQP-MVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
IS-MVSNet10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
PAPM_NR10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
PAPR10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
Vis-MVSNet (Re-imp)10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
PatchMatch-RL10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
TDRefinement10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
EPP-MVSNet10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
PMMVS10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
PAPM10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
ACMMPcopyleft10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
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 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
wuyk23d10000000.00 32210000000.00 32510000000.00 33610000000.00 35310000000.00 35510000000.00 34410000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
APD-MVScopyleft1000000000.00 4531000000000.00 4561000000000.00 4691000000000.00 4941000000000.00 4941000000000.00 4801000000000.00 4941000000000.00 4871000000000.00 4881000000000.00 4851000000000.00 4901000000000.00 4881000000000.00 4871000000000.00 4861000000000.00 484
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
WAC-MVS248.46 214422.23 207
FOURS12643.17 3212465.14 32413996.40 326493.26 2987619.38 3272107.24 320
MSC_two_6792asdad2237.56 3052643.17 3212465.14 324493.26 2983088.29 3216075.14 3211078.39 3131159.26 311
PC_three_14527619.38 3272107.24 3207416.93 318610.24 2983088.29 3216075.14 3211078.39 3131159.26 311
No_MVS2237.56 3052643.17 3212465.14 324493.26 2983088.29 3216075.14 3211078.39 3131159.26 311
test_one_06012643.17 3212465.14 324493.26 2987619.38 3272107.24 3207416.93 318610.24 298
eth-test21.42 107
eth-test10000000.00 353
ZD-MVS1584.00 2901821.00 313378.00 2823721.00 2881231.00 2891833.00 270321.00 2721224.00 2822103.00 283692.00 279
RE-MVS-def610.10 219610.10 248610.10 261610.10 202610.10 313610.10 213610.10 260610.10 209610.10 296610.10 228610.10 269610.10 267
IU-MVS2725.60 3262598.35 330515.86 3067016.02 3202363.85 3245973.88 3171620.04 3251732.56 321
OPU-MVS2451.45 3132725.60 3262598.35 3309203.30 3066894.28 312887.23 3163023.43 3175973.88 3171620.04 3251732.56 321
test_241102_TWO515.86 3067016.02 3202363.85 3246894.28 312887.23 3163023.43 3175973.88 3171620.04 3251732.56 321
test_241102_ONE2725.60 3262598.35 330515.86 3067016.02 3202363.85 3246894.28 312887.23 3163023.43 317
9.140.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
save fliter0.00 10.00 10.00 10.00 10.00 1
test_0728_THIRD5016.02 3021363.85 2944894.28 300387.23 2792023.43 2953973.88 300620.04 271732.56 276
test_0728_SECOND1451.45 2841725.60 2931598.35 2979203.30 306315.86 2732023.43 2953973.88 300620.04 271732.56 276
test07261725.60 2931598.35 2979203.30 306315.86 2735016.02 3021363.85 2944894.28 300387.23 279
GSMVS10000000.00 347
test_part210000000.00 35310000000.00 35510000000.00 350
sam_mvs110000000.00 35010000000.00 347
sam_mvs10000000.00 350
ambc999.00 266999.00 275999.00 280999.00 222999.00 329999.00 275999.00 238999.00 321999.00 271999.00 251999.00 305999.00 302
MTGPAbinary10000000.00 356
test_post110000000.00 34410000000.00 34710000000.00 35010000000.00 35010000000.00 350
test_post10000000.00 34710000000.00 35010000000.00 350
patchmatchnet-post10000000.00 34710000000.00 35010000000.00 350
GG-mvs-BLEND596.01 249611.29 250600.33 258790.30 209513.12 304552.71 253567.40 203662.54 308531.67 238503.93 214779.80 286656.02 270
MTMP10000000.00 34410000000.00 356
gm-plane-assit611.29 250600.33 258579.21 207567.40 203531.67 238503.93 214
test9_res0.00 10.00 10.00 1
TEST90.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_80.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
agg_prior20.00 10.00 10.00 1
agg_prior0.00 10.00 10.00 10.00 10.00 1
TestCases10000000.00 33610000000.00 35310000000.00 35510000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
test_prior40.00 10.00 1
test_prior20.00 10.00 10.00 10.00 10.00 10.00 10.00 1
test_prior0.00 10.00 10.00 10.00 10.00 10.00 1
旧先验20.00 10.00 10.00 10.00 10.00 1
新几何20.00 1
新几何10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
旧先验10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
无先验0.00 10.00 10.00 10.00 10.00 10.00 1
原ACMM20.00 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
testdata20.00 10.00 1
segment_acmp0.00 1
testdata0.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
testdata10.00 10.00 1
test120.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 10.00 1
plane_prior710000000.00 35310000000.00 355
plane_prior610000000.00 35310000000.00 35510000000.00 350
plane_prior510000000.00 35610000000.00 35010000000.00 35010000000.00 34910000000.00 347
plane_prior410000000.00 347
plane_prior310000000.00 35510000000.00 35010000000.00 350
plane_prior210000000.00 34410000000.00 350
plane_prior110000000.00 353
plane_prior1.00 1012.00 1392.00 1402.00 138
n214.20 181
nn1.42 109
door-mid1.42 109
lessismore_v0569.20 247667.25 264644.68 26496.45 230428.86 2391514.17 266204.21 259756.58 2601061.60 260197.79 237306.34 249
LGP-MVS_train10000000.00 33610000000.00 35310000000.00 35510000000.00 35610000000.00 35010000000.00 35010000000.00 34710000000.00 35010000000.00 35010000000.00 35010000000.00 34910000000.00 347
test111.00 102
door99.00 234
HQP5-MVS10000000.00 355
HQP-NCC10000000.00 35310000000.00 34410000000.00 35010000000.00 350
ACMP_Plane10000000.00 35310000000.00 34410000000.00 35010000000.00 350
BP-MVS10000000.00 350
HQP4-MVS10000000.00 35010000000.00 35010000000.00 347
HQP3-MVS10000000.00 35610000000.00 349
HQP2-MVS10000000.00 350
NP-MVS10000000.00 35310000000.00 35510000000.00 347
MDTV_nov1_ep13_2view9.99 1619.99 1599.99 1609.99 1599.99 1619.99 1579.99 160
MDTV_nov1_ep139.99 1479.99 1609.99 1619.99 1599.99 1679.99 1609.99 1599.99 1569.99 1619.99 1609.99 1579.99 161
ACMMP++_ref10000000.00 349
ACMMP++10000000.00 349
Test By Simon990.00 320
ITE_SJBPF2014.00 3031998.00 3041992.00 317701.00 3195989.00 3071812.00 3183612.00 288650.00 3022852.00 3154601.00 3091195.00 3181198.00 315
DeepMVS_CXcopyleft1.00 941.00 1011.00 1011.00 1021.00 1011.00 1001.00 981.00 1001.00 1011.00 991.00 991.00 99