GI LogoGI Logo
  • Login
Digital Library
    • All of DSpace

      • Communities & Collections
      • Titles
      • Authors
      • By Issue Date
      • Subjects
    • This Collection

      • Titles
      • Authors
      • By Issue Date
      • Subjects
Digital Library Gesellschaft für Informatik e.V.
GI-DL
    • English
    • Deutsch
  • English 
    • English
    • Deutsch
View Item 
  •   DSpace Home
  • Lecture Notes in Informatics
  • Proceedings
  • BIOSIG - Biometrics and Electronic Signatures
  • P282 - BIOSIG 2018 - Proceedings of the 17th International Conference of the Biometrics Special Interest Group
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
  •   DSpace Home
  • Lecture Notes in Informatics
  • Proceedings
  • BIOSIG - Biometrics and Electronic Signatures
  • P282 - BIOSIG 2018 - Proceedings of the 17th International Conference of the Biometrics Special Interest Group
  • View Item

From attributes to faces: a conditional generative network for face genera-tion

Author:
Wang, Yaohui [DBLP] ;
Dantcheva, Antitza [DBLP] ;
Bremond, Francois [DBLP]
Abstract
Recent advances in computer vision have aimed at extracting and classifying auxiliary biometric information such as age, gender, as well as health attributes, referred to as soft biometrics or attributes. We here seek to explore the inverse problem, namely face generation based on attribute labels, which is of interest due to related applications in law enforcement and entertainment. Particularly, we propose a method based on deep conditional generative adversarial network (DCGAN), which introduces additional data (e.g., labels) towards determining specific representations of generated images. We present experimental results of the method, trained on the dataset CelebA, and validate these based on two GAN-quality-metrics, as well as based on three face detectors and one commercial off the shelf (COTS) attribute classifier. While these are early results, our findings indicate the method’s ability to generate realistic faces from attribute labels.
  • Citation
  • BibTeX
Wang, Y., Dantcheva, A. & Bremond, F., (2018). From attributes to faces: a conditional generative network for face genera-tion. In: Brömme, A., Busch, C., Dantcheva, A., Rathgeb, C. & Uhl, A. (Hrsg.), BIOSIG 2018 - Proceedings of the 17th International Conference of the Biometrics Special Interest Group. Bonn: Köllen Druck+Verlag GmbH.
@inproceedings{mci/Wang2018,
author = {Wang, Yaohui AND Dantcheva, Antitza AND Bremond, Francois},
title = {From attributes to faces: a conditional generative network for face genera-tion},
booktitle = {BIOSIG 2018 - Proceedings of the 17th International Conference of the Biometrics Special Interest Group},
year = {2018},
editor = {Brömme, Arslan AND Busch, Christoph AND Dantcheva, Antitza AND Rathgeb, Christian AND Uhl, Andreas},
publisher = {Köllen Druck+Verlag GmbH},
address = {Bonn}
}
DateienGroesseFormatAnzeige
BIOSIG_2018_paper_65.pdf602.2Kb PDF View/Open

Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Send Feedback

More Info

ISBN: 978-3-88579-676-4
ISSN: 1617-5469
xmlui.MetaDataDisplay.field.date: 2018
Language: en (en)
Content Type: Text/Conference Paper

Keywords

  • Attributes
  • Soft Biometrics
  • Generative Adversarial Networks
Collections
  • P282 - BIOSIG 2018 - Proceedings of the 17th International Conference of the Biometrics Special Interest Group [32]

Show full item record


About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.

 

 


About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.