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

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 …

In this paper, we propose Deep Alignment Network (DAN), a robust face alignment method
based on a deep neural network architecture. DAN consists of multiple stages, where each …

Virtual and augmented reality (VR/AR) are expected to revolutionise entertainment,
healthcare, communication and the manufacturing industries among many others. Near‐eye …

In this article, we provide a detailed survey of 3D Morphable Face Models over the 20 years
since they were first proposed. The challenges in building and applying these models …

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 …

Many successful models for scene or object recognition transform low-level descriptors
(such as Gabor filter responses, or SIFT descriptors) into richer representations of …

We present a novel approach for the automatic creation of a personalized high-quality 3D
face rig of an actor from just monocular video data (eg, vintage movies). Our rig is based on …