CAD-LLM: Large Language Model for CAD Generation
This work develops generative models for CAD by leveraging pre-trained language models and apply them to manipulate engineering sketches and demonstrate that models pre-trained on natural language can be fine- tuned on engineering sketches and achieve remarkable performance in various CAD generation scenarios.
Abstract
Parametric Computer-Aided Design (CAD) is the dominant paradigm for modern mechanical design. Training generative models to reason and generate parametric CAD can dramatically speed up design workflows. Pre-trained foundation models have shown great success in natural language processing and computer vision. The cross-domain knowledge embedded in these models holds significant potential for understanding geometry and performing complex reasoning about design. In this work, we develop generative models for CAD by leveraging pre-trained language models and apply them to manipulate engineering sketches. Our results demonstrate that models pre-trained on natural language can be fine-tuned on engineering sketches and achieve remarkable performance in various CAD generation scenarios