AI RESEARCH
Learning From Design Procedure To Generate CAD Programs for Data Augmentation
arXiv CS.LG
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ArXi:2603.06894v1 Announce Type: new Large Language Models (LLMs) have nstrated impressive capabilities in a wide range of code generation tasks. However, generating code for certain domains remains challenging. One such domain is Computer-Aided Design (CAD) program, where the goal is to produce scripted parametric models that define object geometry for precise design and manufacturing applications. A key challenge in LLM-based CAD program generation is the limited geometric complexity of generated shapes compared to those found in real-world industrial designs.