HiDiGen：基于显式拓扑约束的层次扩散用于B-Rep生成
HiDiGen: Hierarchical Diffusion for B-Rep Generation with Explicit Topological Constraints
AI总结：
HiDiGen通过分阶段的拓扑约束生成B-Rep结构，结合层次扩散模型提升几何生成的多样性和拓扑有效性。
摘要：
HiDiGen通过分阶段的拓扑约束生成B-Rep结构，结合层次扩散模型提升几何生成的多样性和拓扑有效性。
英文摘要：
Boundary representation (B-rep) is the standard 3D modeling format in CAD systems, encoding both geometric primitives and topological connectivity. Despite its prevalence, deep generative modeling of valid B-rep structures remains challenging due to the intricate interplay between discrete topology and continuous geometry. In this paper, we propose HiDiGen, a hierarchical generation framework that decouples geometry modeling into two stages, each guided by explicitly modeled topological constraints. Specifically, our approach first establishes face-edge incidence relations to define a coherent topological scaffold, upon which face proxies and initial edge curves are generated. Subsequently, multiple Transformer-based diffusion modules are employed to refine the geometry by generating precise face surfaces and vertex positions, with edge-vertex adjacencies dynamically established and enforced to preserve structural consistency. This progressive geometry hierarchy enables the generation of more novel and diverse shapes, while two-stage topological modeling ensures high validity. Experimental results show that HiDiGen achieves strong performance, generating novel, diverse, and topologically sound CAD models.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
