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

Given a portrait image of a person and an environment map of the target lighting, portrait
relighting aims to re-illuminate the person in the image as if the person appeared in an …

Over the last years, with the advent of Generative Adversarial Networks (GANs), many face
analysis tasks have accomplished astounding performance, with applications including, but …

Face recognition is a long standing challenge in the field of Artificial Intelligence (AI). The
goal is to create systems that accurately detect, recognize, verify, and understand human …

Traditional face editing methods often require a number of sophisticated and task specific
algorithms to be applied one after the other---a process that is tedious, fragile, and …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

Thoroughly revised, this third edition focuses on modern techniques used to generate
synthetic three-dimensional images in a fraction of a second. With the advent of …

Portrait relighting aims to render a face image under different lighting conditions. Existing
methods do not explicitly consider some challenging lighting effects such as specular and …

We live in a world where there are countless interactions with computer systems in every-
day situations. In the most ideal case, this interaction feels as familiar and as natural as the …

This paper describes a passive stereo system for capturing the 3D geometry of a face in a
single-shot under standard light sources. The system is low-cost and easy to deploy. Results …