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 a method that generates expressive talking-head videos from a single facial
image with audio as the only input. In contrast to previous attempts to learn direct mappings …

Learning a model of facial shape and expression from 4D scans Page 1 Learning a model
of facial shape and expression from 4D scans TIANYE LI∗†, University of Southern …

In this paper, we present a video-based learning framework for animating personalized 3D
talking faces from audio. We introduce two training-time data normalizations that significantly …

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 “Blendshapes”, a simple linear model of facial expression, is the prevalent
approach to realistic facial animation. It has driven animated characters in Hollywood films …

We present a fully-automatic statistical 3D shape modeling approach and apply it to a large
dataset of 3D images, the Headspace dataset, thus generating the first public shape-and …

Neural networks for facial landmark detection are notoriously limited to a fixed set of
landmarks in a dedicated layout, which must be specified at training time. Dedicated …

We present a novel physics-based approach to facial animation. Contrary to commonly used
generative methods, our solution computes facial expressions by minimizing a set of non …

We present a new anatomically-constrained local face model and fitting approach for
tracking 3D faces from 2D motion data in very high quality. In contrast to traditional global …