CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering Designs

Understand

Text-to-image generative models have increasingly been used to assist designers during concept generation in various creative domains, such as graphic design, user interface design, and fashion design.

• However, their applications in engineering design remain limited due to the models' challenges in generating images of feasible designs concepts.
• To address this issue, this paper introduces a method that improves the design feasibility by prompting the generation with feasible CAD images.
• In this work, the usefulness of this method is investigated through a case study with a bike design task using an off-the-shelf text-to-image model, Stable Diffusion 2.1.