HiDiGen: Hierarchical Diffusion for B-Rep Generation with Explicit Topological Constraints

• URL: http://arxiv.org/abs/2604.02847v1
• Date: Fri, 03 Apr 2026 08:06:51 GMT
• Title: HiDiGen: Hierarchical Diffusion for B-Rep Generation with Explicit Topological Constraints
• Abstract summary: Boundary representation (B-rep) is the standard 3D modeling format in CAD systems.<n>HiDiGen is a hierarchical generation framework that decouples geometry modeling into two stages.<n> Experimental results show that HiDiGen achieves strong performance, generating novel, diverse, and topologically sound CAD models.
• Score: 11.721957326448162
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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