We present GauHuman a 3D human model with Gaussian Splatting for both fast training (1 2
minutes) and real-time rendering (up to 189 FPS) compared with existing NeRF-based …

Abstract Existing Human NeRF methods for reconstructing 3D humans typically rely on
multiple 2D images from multi-view cameras or monocular videos captured from fixed …

Existing neural rendering methods for creating human avatars typically either require dense
input signals such as video or multi-view images, or leverage a learned prior from large …

We present an approach to generate a 360-degree view of a person with a consistent, high-
resolution appearance from a single input image. NeRF and its variants typically require …

Facial expression and hand motions are necessary to express our emotions and interact
with the world. Nevertheless, most of the 3D human avatars modeled from a casually …

Generating 3D models lies at the core of computer graphics and has been the focus of
decades of research. With the emergence of advanced neural representations and …

The past two years have witnessed a significant increase in interest concerning NeRF-
based human body rendering. While this surge has propelled considerable advancements …

Generating 3D models lies at the core of computer graphics and has been the focus of
decades of research. With the emergence of advanced neural representations and …

Recent advances in implicit neural representations make it possible to generate free-
viewpoint videos of the human from sparse view images. To avoid the expensive training for …

This paper presents a method to learn hand-object interaction prior for reconstructing a 3D
hand-object scene from a single RGB image. The inference as well as training-data …