Performance capture is about bringing digital characters to life by capturing the geometry and motion of real human performances.
Our research covers the full pipeline for data-driven modeling and animation of virtual avatars, which includes real-time markerless acquisition, tracking in non-rigid partial data, deformable shape completion, motion-retargeting, and automatic character rigging.
Anastasia Tkach*, Andrea Tagliasacchi*, Edoardo Remelli, Mark Pauly, Andrew Fitzgibbon
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 2017
Edoardo Remelli*, Anastasia Tkach*, Andrea Tagliasacchi, Mark Pauly
International Conference on Computer Vision (ICCV), 2017
Alexandru-Eugen Ichim, Petr Kadlecek, Ladislav Kavan, Mark Pauly
ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2017
Anastasia Tkach, Mark Pauly, Andrea Tagliasacchi
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 2016
Petr Kadlecek (*),
Alexandru-Eugen Ichim (*),
Tiantian Liu,
Ladislav Kavan,
Jaroslav Krivanek
(* joint first authors)
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 2016
Alexandru-Eugen Ichim, Ladislav Kavan, Merlin Nimier-David, Mark Pauly
ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA), 2016
Thibaut Weise, Hao Li, Luc Van Gool and Mark Pauly
ACM Siggraph/Eurographics Symposium on Computer Animation 2009, best paper award
Faceshift is an LGG/EPFL spin-off based in Technopark Zurich. Their software analyzes the face motions of an actor, and describes them as a mixture of basic expressions, plus head orientation and gaze. This description is then used to animate virtual characters for use in movie or game production. They have astonishing real time tracking and a high quality offline post-processing in a single, convenient application.