This paper addresses the challenge of efficiently reconstructing volumetric videos of
dynamic humans from sparse multi-view videos. Some recent works represent a dynamic …

Generating faithful visualizations of human faces requires capturing both coarse and fine-
level details of the face geometry and appearance. Existing methods are either data-driven …

Abstract 3D virtual try-on based on a single image can provide an excellent shopping
experience for Internet users and has enormous business potential. The existing methods of …

This paper introduces Motion-oriented Compositional Neu-ral Radiance Fields (MoCo-
NeRF), a framework designed to perform free-viewpoint rendering of monocular human …

Recently, many works have been proposed to utilize the neural radiance field for novel view
synthesis of human performers. However, most of these methods require hours of training …

The reconstruction of high-quality 3D clothed humans from monocular images or videos has
gained popularity in recent years due to its significant practical applications. While several …

Human avatar has become a novel type of 3D asset with various applications. Ideally a
human avatar should be fully customizable to accommodate different settings and …

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 …

We present InstantGeoAvatar, a method for efficient and effective learning from monocular
video of detailed 3D geometry and appearance of animatable implicit human avatars. Our …

Abstract Dynamic Neural Radiance Fields (NeRFs) achieve remarkable visual quality when
synthesizing novel views of time-evolving 3D scenes. However, the common reliance on …