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

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

We present dynamic neural radiance fields for modeling the appearance and dynamics of a
human face. Digitally modeling and reconstructing a talking human is a key building-block …

Abstract We present Neural Head Avatars, a novel neural representation that explicitly
models the surface geometry and appearance of an animatable human avatar that can be …

We present a novel approach for real-time facial reenactment of a monocular target video
sequence (eg, Youtube video). The source sequence is also a monocular video stream …

We present a method for the real-time transfer of facial expressions from an actor in a source
video to an actor in a target video, thus enabling the ad-hoc control of the facial expressions …

We present the first real-time high-fidelity facial capture method. The core idea is to enhance
a global real-time face tracker, which provides a low-resolution face mesh, with local …

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 …

We present a fully automatic system that can produce high-fidelity, photo-realistic three-
dimensional (3D) digital human heads with a consumer RGB-D selfie camera. The system …

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