Generating high-quality 3D assets from a given image is highly desirable in various
applications such as AR/VR. Recent advances in single-image 3D generation explore feed …

Real-time rendering of human head avatars is a cornerstone of many computer graphics
applications, such as augmented reality, video games, and films, to name a few. Recent …

While recent advancements in animatable human rendering have achieved remarkable
results, they require test-time optimization for each subject which can be a significant …

This paper presents EVSplitting, an efficient and visually consistent splitting algorithm for 3D
Gaussian Splatting (3DGS). It is designed to make operating 3DGS as easy and effective as …

Denoising diffusion models have demonstrated outstanding results in 2D image generation,
yet it remains a challenge to replicate its success in 3D shape generation. In this paper, we …

Creating 3D head avatars is a significant yet challenging task for many applicated scenarios.
Previous studies have set out to learn 3D human head generative models using massive 2D …

Recent advancements in 3D Gaussian Splatting (3DGS) have unlocked significant potential
for modeling 3D head avatars, providing greater flexibility than mesh-based methods and …

We propose Pomo3D, a 3D portrait manipulation framework that allows free accessorizing
by decomposing and recomposing portraits and accessories. It enables the avatars to attain …

Recent advancements in diffusion models and large-scale datasets have revolutionized
image and video generation, with increasing focus on 3D content generation. While existing …

Neural fields have emerged as a groundbreaking approach to representing 3D shapes,
garnering significant attention due to their compatibility with modern deep-learning …