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PartUV:三维网格的部件化UV展开技术

PartUV: Part-Based UV Unwrapping of 3D Meshes

November 20, 2025
作者: Zhaoning Wang, Xinyue Wei, Ruoxi Shi, Xiaoshuai Zhang, Hao Su, Minghua Liu
cs.AI

摘要

UV展开技术通过将三维表面以最小失真度展开为二维平面,通常需要将复杂曲面分解为多个图块。尽管该领域已被广泛研究,现有方法在处理AI生成网格时仍面临挑战——这类网格通常存在噪点、凹凸不平且几何条件较差。现有方法往往产生高度碎片化的图块和欠佳的边界划分,导致伪影问题并影响下游任务。我们提出PartUV,一种基于部件划分的UV展开流程,能在保持低失真度的同时生成数量显著减少且与部件对齐的图块。该方法基于近期基于学习的部件分解技术PartField构建,通过自上而下的递归框架将高层语义部件分解与新颖的几何启发式算法相结合,确保每个图块的失真度低于用户设定阈值,同时最小化图块总数。该流程整合并拓展了参数化与排布算法,包含对非流形和退化网格的专门处理,并采用大规模并行化以提升效率。在涵盖人造物体、CAD模型、AI生成网格和通用形状的四个数据集上的评估表明,PartUV在图块数量和接缝长度方面优于现有工具及近期神经方法,达到可比拟的失真度,在挑战性网格上呈现高成功率,并能实现部件级多图块排布等新应用。项目页面详见https://www.zhaoningwang.com/PartUV。
English
UV unwrapping flattens 3D surfaces to 2D with minimal distortion, often requiring the complex surface to be decomposed into multiple charts. Although extensively studied, existing UV unwrapping methods frequently struggle with AI-generated meshes, which are typically noisy, bumpy, and poorly conditioned. These methods often produce highly fragmented charts and suboptimal boundaries, introducing artifacts and hindering downstream tasks. We introduce PartUV, a part-based UV unwrapping pipeline that generates significantly fewer, part-aligned charts while maintaining low distortion. Built on top of a recent learning-based part decomposition method PartField, PartUV combines high-level semantic part decomposition with novel geometric heuristics in a top-down recursive framework. It ensures each chart's distortion remains below a user-specified threshold while minimizing the total number of charts. The pipeline integrates and extends parameterization and packing algorithms, incorporates dedicated handling of non-manifold and degenerate meshes, and is extensively parallelized for efficiency. Evaluated across four diverse datasets, including man-made, CAD, AI-generated, and Common Shapes, PartUV outperforms existing tools and recent neural methods in chart count and seam length, achieves comparable distortion, exhibits high success rates on challenging meshes, and enables new applications like part-specific multi-tiles packing. Our project page is at https://www.zhaoningwang.com/PartUV.
PDF82December 1, 2025