基于草图的细长几何体提取用于高斯点扩散场景动画
SketchRodGS: Sketch-based Extraction of Slender Geometries for Animating Gaussian Splatting Scenes
AI总结：
本文提出基于用户草图提取细长几何体的多边形线表示，用于高斯点扩散场景的动画模拟。
摘要：
细长弹性物体的物理模拟通常需要将其离散化为多边形线。然而，从高斯点扩散中构造多边形线具有挑战性，因为高斯点扩散缺乏连接信息，且高斯原始体的配置包含大量噪声。本文提出了一种方法，从用户的草图输入中提取高斯点扩散场景中细长物体的多边形线表示。我们的方法通过屏幕空间最短路径分析稳健地构建多边形网格，该分析可通过动态规划高效解决。我们在多个真实场景中展示了该方法的有效性。
英文摘要：
Physics simulation of slender elastic objects often requires discretization as a polyline. However, constructing a polyline from Gaussian splatting is challenging as Gaussian splatting lacks connectivity information and the configuration of Gaussian primitives contains much noise. This paper presents a method to extract a polyline representation of the slender part of the objects in a Gaussian splatting scene from the user's sketching input. Our method robustly constructs a polyline mesh that represents the slender parts using the screen-space shortest path analysis that can be efficiently solved using dynamic programming. We demonstrate the effectiveness of our approach in several in-the-wild examples.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
