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

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 …

Abstract We present Neural Strands, a novel learning framework for modeling accurate hair
geometry and appearance from multi-view image inputs. The learned hair model can be …

We propose a novel approach to animate human hair in a still portrait photo. Existing work
has largely studied the animation of fluid elements such as water and fire. However, hair …

Photo-realistic visualization and animation of expressive human faces have been a long
standing challenge. 3D face modeling methods provide parametric control but generates …

Recent advances in deep generative models have led to an unprecedented level of realism
for synthetically generated images of humans. However, one of the remaining fundamental …

The capture and animation of human hair are two of the major challenges in the creation of
realistic avatars for the virtual reality. Both problems are highly challenging, because hair …

We introduce CT2Hair, a fully automatic framework for creating high-fidelity 3D hair models
that are suitable for use in downstream graphics applications. Our approach utilizes real …

For several decades, researchers have been advancing techniques for creating and
rendering 3D digital faces, where a lot of the effort has gone into geometry and appearance …

Capturing and rendering life-like hair is particularly challenging due to its fine geometric
structure, complex physical interaction and the non-trivial visual appearance that must be …