The generation of production-ready quad-dominant meshes is a cornerstone of modern 3D content creation. Generating anisotropic quad-dominant meshes from point clouds is challenging, as existing methods are typically limited to producing either pure triangular meshes or pure quadrilateral meshes with isotropic densities. In this paper, we present QuadLink, a unified framework consisting of three stages for quad-dominant mesh generation by linking points into structured faces. QuadLink formulates polygonal mesh generation as a hybrid centroid-conditioned vertex linking model: it first predicts a unified set of anchors (vertices and face centroids), then learns centroid-conditioned links that associate vertices with face centroids, and finally assembles polygonal faces with a quad-first strategy guided by robust geometric verification strategies. This link-based formulation enables efficient generation of sparse and anisotropic quad-dominant meshes with coherent edge flow and meanwhile supporting hybrid polygonal topology. To construct training data for this model, we further introduce a Tri-to-Quad Operator that converts artistic triangle meshes into quad-dominant training data via global merge selection. Extensive experiments show that QuadLink produces production-ready quad-dominant meshes from point clouds and achieves improved geometric fidelity and topological quality compared to prior baselines. Our method natively supports hybrid polygonal topology, generalizing to arbitrary n-gon meshes without architectural changes.

翻译：生产级四边形主导网格的生成是现代三维内容创作的基石。从点云生成各向异性的四边形主导网格充满挑战，因为现有方法通常局限于生成各向同性密度的纯三角形网格或纯四边形网格。本文提出QuadLink，一个统一的三阶段框架，通过将点连接成结构化面片实现四边形主导网格生成。QuadLink将多边形网格生成建模为混合质心约束的顶点连接模型：首先预测统一锚点集（顶点与面质心），随后学习质心约束连接以关联顶点与面质心，最终通过鲁棒的几何验证策略引导的四边形优先策略组装多边形面片。这种基于连接的表示法能够高效生成具有连贯边流向的稀疏各向异性四边形主导网格，同时支持混合多边形拓扑。为构建训练数据，我们进一步引入三角到四边形算子（Tri-to-Quad Operator），通过全局合并选择将艺术三角形网格转化为四边形主导训练数据。大量实验表明，QuadLink能从点云生成生产级四边形主导网格，并在几何保真度和拓扑质量上超越先前基准方法。本方法原生支持混合多边形拓扑，无需架构改动即可推广至任意n边形网格。