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 …

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

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 …

NeRF synthesizes novel views of a scene with unprecedented quality by fitting a neural
radiance field to RGB images. However, NeRF requires querying a deep Multi-Layer …

Generating high-fidelity talking head video by fitting with the input audio sequence is a
challenging problem that receives considerable attentions recently. In this paper, we …

We propose Neural Actor (NA), a new method for high-quality synthesis of humans from
arbitrary viewpoints and under arbitrary controllable poses. Our method is developed upon …

Synthesis and reconstruction of 3D human head has gained increasing interests in
computer vision and computer graphics recently. Existing state-of-the-art 3D generative …

Abstract We present Non-Rigid Neural Radiance Fields (NR-NeRF), a reconstruction and
novel view synthesis approach for general non-rigid dynamic scenes. Our approach takes …

We present a new neural representation, called Neural Ray (NeuRay), for the novel view
synthesis task. Recent works construct radiance fields from image features of input views to …

In this paper, we aim at synthesizing a free-viewpoint video of an arbitrary human
performance using sparse multi-view cameras. Recently, several works have addressed this …