16 citations · 19 across the 3 of their papers we have counts for
4 papers
BikeBench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints
Lyle Regenwetter, Yazan Abu Obaideh, Fabien Chiotti +2
We introduce BikeBench, an engineering design benchmark for evaluating generative models on problems with multiple real-world objectives and constraints. As generative AI's reach c…
Prompting for products: Investigating design space exploration strategies for text-to-image generative models
Leah Chong, I-Ping Lo, Jude Rayan +3
Text-to-image models are enabling efficient design space exploration, rapidly generating images from text prompts. However, many generative AI tools are imperfect for product desig…
CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering Designs
Leah Chong, Jude Rayan, Steven Dow +2
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…
Cooling-Guide Diffusion Model for Battery Cell Arrangement
Nicholas Sung, Liu Zheng, Pingfeng Wang +1
Our study introduces a Generative AI method that employs a cooling-guided diffusion model to optimize the layout of battery cells, a crucial step for enhancing the cooling performa…