Deep neural networks (DNNs) have shown remarkable performance improvements on
vision-related tasks such as object detection or image segmentation. Despite their success …

The computer graphics and vision communities have dedicated long standing efforts in
building computerized tools for reconstructing, tracking, and analyzing human faces based …

Abstract “Blendshapes”, a simple linear model of facial expression, is the prevalent
approach to realistic facial animation. It has driven animated characters in Hollywood films …

There are currently no solutions for enabling direct face-to-face interaction between virtual
reality (VR) users wearing head-mounted displays (HMDs). The main challenge is that the …

Significant challenges currently prohibit expressive interaction in virtual reality (VR).
Occlusions introduced by head-mounted displays (HMDs) make existing facial tracking …

We introduce the concept of unconstrained real-time 3D facial performance capture through
explicit semantic segmentation in the RGB input. To ensure robustness, cutting edge …

We present a real-time deep learning framework for video-based facial performance capture-
--the dense 3D tracking of an actor's face given a monocular video. Our pipeline begins with …

Generating realistic facial animation for CG characters and digital doubles is one of the
hardest tasks in animation. A typical production workflow involves capturing the performance …

With the introduction of concepts for virtual interaction and digital doubles, a rich scenario
has been created for embodied avatars to strive. These avatars, more recently referred to as …

3D facial animation is often produced by manipulating facial deformation models (or rigs),
that are traditionally parameterized by expression controls. A key component that is usually …