We present a new approach termed GPS-Gaussian for synthesizing novel views of a
character in a real-time manner. The proposed method enables 2K-resolution rendering …

We introduce GoMAvatar a novel approach for real-time memory-efficient high-quality
animatable human modeling. GoMAvatar takes as input a single monocular video to create …

Abstract 3D reconstruction of human bodies remains an important research issue in
computer vision. It is a fundamental resource for many everyday applications, including in …

This review thoroughly examines the role of semantically-aware Neural Radiance Fields
(NeRFs) in visual scene understanding, covering an analysis of over 250 scholarly papers. It …

Recent advances in generative diffusion models have enabled the previously unfeasible
capability of generating 3D assets from a single input image or a text prompt. In this work we …

Clothed human reconstruction based on implicit functions has recently received
considerable attention. In this study we explore the most effective 2D feature fusion method …

Abstract Recent advances in Neural Radiance Fields (NeRF) have demonstrated promising
results in 3D scene representations including 3D human representations. However these …

Rendering dynamic 3D human from monocular videos is crucial for various applications
such as virtual reality and digital entertainment. Most methods assume the people is in an …

In recent years, Neural Radiance Fields (NeRF) has made remarkable progress in the field
of computer vision and graphics, providing strong technical support for solving key tasks …

Free-viewpoint human body reenactment aims to generate authentic and coherent poses for
a source subject based on a target body pose skeleton. While current methods are proficient …