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

The fidelity of relighting is bounded by both geometry and appearance representations. For
geometry both mesh and volumetric approaches have difficulty modeling intricate structures …

Abstract 3D face reconstruction is the most captivating topic in biometrics with the advent of
deep learning and readily available graphical processing units. This paper explores the …

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 novel learning-based framework for face reenactment. The proposed method,
known as ReenactGAN, is capable of transferring facial movements and expressions from …

Monocular image-based 3D reconstruction of faces is a long-standing problem in computer
vision. Since image data is a 2D projection of a 3D face, the resulting depth ambiguity …

We present a fully automatic framework that digitizes a complete 3D head with hair from a
single unconstrained image. Our system offers a practical and consumer-friendly end-to-end …

We propose a method for generating video-realistic animations of real humans under user
control. In contrast to conventional human character rendering, we do not require the …

NeRFs have enabled highly realistic synthesis of human faces including complex
appearance and reflectance effects of hair and skin. These methods typically require a large …

We present a method for building high-fidelity animatable 3D face models that can be posed
and rendered with novel lighting environments in real-time. Our main insight is that …