HeadOn: Real-time Reenactment of Human Portrait Videos

Journal article
(Original article)

Publication Details

Author(s): Thies J, Zollhöfer M, Stamminger M, Theobalt C, Nießner M
Journal: ACM Transactions on Graphics
Publication year: 2018
Volume: 37
Journal issue: 4
ISSN: 1557-7368


We propose HeadOn, the first real-time source-to-target
reenactment approach for complete human portrait videos that enables
transfer of torso and head motion, face expression, and eye gaze. Given a
short RGB-D video of the target actor, we automatically construct a
personalized geometry proxy that embeds a parametric head, eye, and
kinematic torso model. A novel real-time reenactment algorithm employs
this proxy to photo-realistically map the captured motion from the
source actor to the target actor.

FAU Authors / FAU Editors

Stamminger, Marc Prof. Dr.
Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)

How to cite

Thies, J., Zollhöfer, M., Stamminger, M., Theobalt, C., & Nießner, M. (2018). HeadOn: Real-time Reenactment of Human Portrait Videos. ACM Transactions on Graphics, 37(4). https://dx.doi.org/10.1145/3197517.3201350

Thies, Justus, et al. "HeadOn: Real-time Reenactment of Human Portrait Videos." ACM Transactions on Graphics 37.4 (2018).


Last updated on 2019-03-01 at 21:10