A New Split Algorithm for 3D Gaussian Splatting
arxiv(2024)
摘要
3D Gaussian splatting models, as a novel explicit 3D representation, have
been applied in many domains recently, such as explicit geometric editing and
geometry generation. Progress has been rapid. However, due to their mixed
scales and cluttered shapes, 3D Gaussian splatting models can produce a blurred
or needle-like effect near the surface. At the same time, 3D Gaussian splatting
models tend to flatten large untextured regions, yielding a very sparse point
cloud. These problems are caused by the non-uniform nature of 3D Gaussian
splatting models, so in this paper, we propose a new 3D Gaussian splitting
algorithm, which can produce a more uniform and surface-bounded 3D Gaussian
splatting model. Our algorithm splits an N-dimensional Gaussian into two
N-dimensional Gaussians. It ensures consistency of mathematical characteristics
and similarity of appearance, allowing resulting 3D Gaussian splatting models
to be more uniform and a better fit to the underlying surface, and thus more
suitable for explicit editing, point cloud extraction and other tasks.
Meanwhile, our 3D Gaussian splitting approach has a very simple closed-form
solution, making it readily applicable to any 3D Gaussian model.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要