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：生产级四边主导网格的生成是现代3D内容创作的基石。从点云生成各向异性四边主导网格极具挑战性，现有方法通常局限于生成纯三角形网格或各向同性密度的纯四边形网格。本文提出QuadLink——一个由三阶段组成的统一框架，通过将点链接为结构化面来实现四边主导网格生成。QuadLink将多边形网格生成建模为混合质心条件顶点链接模型：首先预测统一的锚点集（顶点与面质心），继而学习将顶点与面质心关联的质心条件链接，最终通过稳健几何验证策略引导的"四边优先"策略组装多边形面。这种基于链接的建模方式既能生成具有连贯边流向的稀疏各向异性四边主导网格，同时支持混合多边形拓扑。为构建训练数据，我们进一步提出三角转四边算子，通过全局合并选择将艺术三角形网格转换为四边主导训练数据。大量实验表明，QuadLink能从点云生成生产级四边主导网格，相比既有基线方法在几何保真度和拓扑质量上均有提升。本方法原生支持混合多边形拓扑，无需架构更改即可泛化至任意n边形网格。