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 …

Existing single view, 3D face reconstruction methods can produce beautifully detailed 3D
results, but typically only for near frontal, unobstructed viewpoints. We describe a system …

We present a deep learning-based technique to infer high-quality facial reflectance and
geometry given a single unconstrained image of the subject, which may contain partial …

Relighting is an essential step in realistically transferring objects from a captured image into
another environment. For example, authentic telepresence in Augmented Reality requires …

We present a data-driven inference method that can synthesize a photorealistic texture map
of a complete 3D face model given a partial 2D view of a person in the wild. After an initial …

Most face relighting methods are able to handle diffuse shadows, but struggle to handle
hard shadows, such as those cast by the nose. Methods that propose techniques for …

Robust face reconstruction from monocular image in general lighting conditions is
challenging. Methods combining deep neural network encoders with differentiable …

Existing face relighting methods often struggle with two problems: maintaining the local
facial details of the subject and accurately removing and synthesizing shadows in the relit …

At the core of portrait photography is the search for ideal lighting and viewpoint. The process
often requires advanced knowledge in photography and an elaborate studio setup. In this …

Recent portrait relighting methods have achieved realistic results of portrait lighting effects
given a desired lighting representation such as an environment map. However, these …