Published June 4, 2024 | Version v1
Dataset Open

Synthetics-DisCo

  • 1. ROR icon Idiap Research Institute

Description

Description

This data package contains a selection of datasets generated for the paper mentioned below, as well as intermediate data required to reproduce the results. The three datasets present in this package are the three best performing datasets, presented in the first table of the paper. 

 

Reference

If you use this dataset, please cite the following publication

@article{geissbuhler2024synthetic,
title={Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion},
author={Geissb{\"u}hler, David and Shahreza, Hatef Otroshi and Marcel, S{\'e}bastien},
journal={arXiv preprint arXiv:2405.00228},
year={2024}
}

Files

Files (83.5 GB)

Name Size Download all
md5:30fdb99765ba1598a63a6ae62e2afbed
6.3 MB Download
md5:6885bca462033d2a27d7b41db6533908
1.6 kB Download
md5:fc0caa37fdee1620ca4693d5814a3fb8
170.9 kB Download
md5:619af190ba14270bf120729ad03ed07b
16.2 GB Download
md5:569352fc9997caac09cc057bdf928b03
16.5 GB Download
md5:2ff763da181be8d238fbcc1243d80f71
255.0 MB Download
md5:6ff4b53c5cc08cecac31d6df0642ca7d
48.6 GB Download
md5:29e2d7a776986cc8e9b027d963fbe4d3
759.9 MB Download
md5:ca1a13db10f4e9ddc9f1e45632e83bfe
1.2 GB Download

Additional details

Related works

Is described by
Journal article: 10.48550/arXiv.2405.00228 (DOI)

Funding

TReSPAsS-ETN – TRaining in Secure and PrivAcy-preserving biometricS 860813
European Commission
reSponsible fAir FacE Recognition (SAFER) 21044
Hasler Foundation
LEGAL2 CITeR-21F-02i-M
National Science Foundation