We present VoroUDF, an algorithm for reconstructing high-quality triangle meshes from Unsigned Distance Fields (UDFs). Our algorithm supports non-manifold geometry, sharp features, and open boundaries, without relying on error-prone inside/outside estimation, restrictive look-up tables nor topologically noisy optimization. Our Voronoi-based formulation combines a L_1 tangent minimization with feature-aware repulsion to robustly recover complex surface topology. It achieves significantly improved topological consistency and geometric fidelity compared to existing methods, while producing lightweight meshes suitable for downstream real-time and interactive applications.

翻译：本文提出VoroUDF算法，用于从无符号距离场重建高质量三角形网格。该算法支持非流形几何、尖锐特征及开放边界，且无需依赖易出错的内部/外部估计、限制性查找表或拓扑噪声严重的优化过程。我们基于Voronoi的建模框架，将L_1切向最小化与特征感知排斥机制相结合，从而鲁棒地恢复复杂表面拓扑结构。与现有方法相比，本方法在拓扑一致性与几何保真度方面均取得显著提升，同时生成适用于下游实时与交互应用的轻量化网格。