Towards High-Fidelity CAD Generation via LLM-Driven Program Generation and Text-Based B-Rep Primitive Grounding
The field of Computer-Aided Design (CAD) generation has made significant progress in recent years. Existing methods typically fall into two separate categories: parametric CAD modeling and direct boundary representation (B-Rep) synthesis. In modern feature-based CAD systems, parametric modeling and B-Rep are inherently intertwined, as advanced parametric operations (e.g., fillet and chamfer) require explicit selection of B-Rep geometric primitives, and the B-Rep itself is derived from parametric operations. Consequently, this paradigm gap remains a critical factor limiting AI-driven CAD modeling for complex industrial product design. This paper presents FutureCAD, a novel text-to-CAD fram...
| Authors | Jiahao Li, Qingwang Zhang, Qiuyu Chen et al. |
|---|---|
| Primary category | cs.CV |
| Published | 12 March 2026 |
| Last updated at source | 26 April 2026 |
Connected in the knowledge graph
- jhlee11/FutureCADDataset · cited by
- jhlee11/BRepGroundDataset · cited by
- jhlee11/FutureCAD-7BModel · cited by
Models and datasets referencing this paper
- jhlee11/BRepGroundDataset
- jhlee11/FutureCAD-7BModel
- jhlee11/FutureCADDataset
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