Recent advances in machine learning have led to increased interest in solving visual
computing problems using methods that employ coordinate‐based neural networks. These …

Creating high-fidelity 3D head avatars has always been a research hotspot but there
remains a great challenge under lightweight sparse view setups. In this paper we propose …

Synthesizing photo‐realistic images and videos is at the heart of computer graphics and has
been the focus of decades of research. Traditionally, synthetic images of a scene are …

Traditional 3D morphable face models (3DMMs) provide fine-grained control over
expression but cannot easily capture geometric and appearance details. Neural volumetric …

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 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 …

Creating photorealistic avatars of existing people currently requires extensive person-
specific data capture, which is usually only accessible to the VFX industry and not the …

Neural rendering has received tremendous attention since the advent of Neural Radiance
Fields (NeRF), and has pushed the state-of-the-art on novel-view synthesis considerably …

Talking head synthesis is an emerging technology with wide applications in film dubbing,
virtual avatars and online education. Recent NeRF-based methods generate more natural …

We present X-Avatar, a novel avatar model that captures the full expressiveness of digital
humans to bring about life-like experiences in telepresence, AR/VR and beyond. Our …