We present CaPhy, a novel method for reconstructing animatable human avatars with
realistic dynamic properties for clothing. Specifically, we aim for capturing the geometric and …

Creating animatable avatars from static scans requires the modeling of clothing
deformations in different poses. Existing learning-based methods typically add pose …

We propose a novel framework to reconstruct accurate appearance and geometry with
neural radiance fields (NeRF) for interacting hands, enabling the rendering of photo-realistic …

AI-generated content (AIGC) methods aim to produce text, images, videos, 3D assets, and
other media using AI algorithms. Due to its wide range of applications and the demonstrated …

A human 3D avatar is one of the important elements in the metaverse, and the modeling
effect directly affects people's visual experience. However, the human body has a complex …

Amidst the rapid advancement of artificial intelligence (AI), the development of content
generation techniques stands out as one of the most captivating and widely discussed topics …

Single image super-resolution (SISR) with deep convolutional neural networks has recently
attracted increasing attention due to its potentials to generate rich details. To obtain better …

Efficient and accurate reconstruction of a relightable, dynamic clothed human avatar from a
monocular video is crucial for the entertainment industry. This paper introduces the Surfel …

Garment simulation technology has widespread applications in fields such as virtual try-on
and game animation. Traditional methods often require extensive manual annotation …

Virtual garment animation and deformation constitute a pivotal research direction in
computer graphics, finding extensive applications in domains such as computer games …