Sept. 28, 2022, 1:15 a.m. | Stella Bounareli, Christos Tzelepis, Vasileios Argyriou, Ioannis Patras, Georgios Tzimiropoulos

cs.CV updates on arXiv.org arxiv.org

In this paper we address the problem of neural face reenactment, where, given
a pair of a source and a target facial image, we need to transfer the target's
pose (defined as the head pose and its facial expressions) to the source image,
by preserving at the same time the source's identity characteristics (e.g.,
facial shape, hair style, etc), even in the challenging case where the source
and the target faces belong to different identities. In doing so, we address …

arxiv face space stylegan2

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

#13721 - Data Engineer - AI Model Testing

@ Qualitest | Miami, Florida, United States

Elasticsearch Administrator

@ ManTech | 201BF - Customer Site, Chantilly, VA