实现神经隐式曲面的实时笔触雕刻,操作直观且保持表面平滑。
Interactive Stroke-based Neural SDF Sculpting
- 用管状邻域采样笔画路径,结合可调画笔形状实现流畅变形
- 支持实时交互雕刻,无需切换几何表示,性能稳定
- 适合需要精细3D建模的设计师与研究人员
隐式神经表示在3D建模中日益流行,但直接编辑其模型权重与表面几何的关系复杂,且优化过程缓慢。尽管传统网格工具(如ZBrush)可实现直观编辑,目前仍缺乏高性能的神经SDF雕刻工具。本文提出一种框架,可在神经隐式表示上实现交互式表面雕刻。不同于仅支持局部修改的方法,本方法支持用户沿预定义曲线实时进行笔触式修改,通过管状邻域采样和可定制画笔轮廓,实现平滑形变,保持隐式表示的光滑性,同时确保交互性能。实验表明,该方法可在不牺牲实时性的情况下完成多样化编辑。
原文摘要 · Abstract (English)
Recent advances in implicit neural representations have made them a popular choice for modeling 3D geometry. However, directly editing these representations presents challenges due to the complex relationship between model weights and surface geometry, as well as the slow optimization required to update neural fields. Among various editing tools, sculpting stands out as a valuable operation for the graphics and modeling community. While traditional mesh-based tools like ZBrush enable intuitive edits, a comparable high-performance toolkit for sculpting neural SDFs is currently lacking. We introduce a framework that enables interactive surface sculpting directly on neural implicit representations with optimized performance. Unlike previous methods, which are limited to spot edits, our approach allows users to perform stroke-based modifications on the fly, ensuring intuitive shape manipulation without switching representations. By employing tubular neighborhoods to sample strokes and customizable brush profiles, we achieve smooth deformations along user-defined curves, providing intuitive control over the sculpting process. Our method demonstrates that versatile edits can be achieved while preserving the smooth nature of implicit representations, all without compromising interactive performance.
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