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

The advent of affordable consumer grade RGB‐D cameras has brought about a profound
advancement of visual scene reconstruction methods. Both computer graphics and …

We present the first method capable of photorealistically reconstructing deformable scenes
using photos/videos captured casually from mobile phones. Our approach augments neural …

Abstract We present Neural Head Avatars, a novel neural representation that explicitly
models the surface geometry and appearance of an animatable human avatar that can be …

We present dynamic neural radiance fields for modeling the appearance and dynamics of a
human face. Digitally modeling and reconstructing a talking human is a key building-block …

Abstract We present Instant Volumetric Head Avatars (INSTA), a novel approach for
reconstructing photo-realistic digital avatars instantaneously. INSTA models a dynamic …

Learned 3D representations of human faces are useful for computer vision problems such
as 3D face tracking and reconstruction from images, as well as graphics applications such …

In this paper, we present a large-scale detailed 3D face dataset, FaceScape, and propose a
novel algorithm that is able to predict elaborate riggable 3D face models from a single image …

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 …

We present a novel approach for real-time facial reenactment of a monocular target video
sequence (eg, Youtube video). The source sequence is also a monocular video stream …