We present a novel semantic model for human head defined with neural radiance field. The
3D-consistent head model consist of a set of disentangled and interpretable bases, and can …

We present AvatarReX, a new method for learning NeRF-based full-body avatars from video
data. The learnt avatar not only provides expressive control of the body, hands and the face …

We propose FlashAvatar a novel and lightweight 3D animatable avatar representation that
could reconstruct a digital avatar from a short monocular video sequence in minutes and …

We present FaceVerse, a fine-grained 3D Neural Face Model, which is built from hybrid East
Asian face datasets containing 60K fused RGB-D images and 2K high-fidelity 3D head scan …

In the field of face/head-related product design, 3D statistical models (3DSMs) of human
heads and faces are widely used to model geometric variations, generate representative …

Face de-identification involves concealing the true identity of a face while retaining other
facial characteristics. Current target-generic methods typically disentangle identity features …

Three-dimensional face dense alignment and reconstruction in the wild is a challenging
problem as partial facial information is commonly missing in occluded and large pose face …

We propose GazeNeRF, a 3D-aware method for the task of gaze redirection. Existing gaze
redirection methods operate on 2D images and struggle to generate 3D consistent results …

In 3D face reconstruction, orthogonal projection has been widely employed to substitute
perspective projection to simplify the fitting process. This approximation performs well when …

Although novel 3D animation techniques could be boosted by a large variety of deep
learning methods, flexible automatic 3D applications (involving animated figures such as …