2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.HC2024
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…
cs.AI2024★ 2 cited
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…
cs.HC2023
Graphologue: Exploring Large Language Model Responses with Interactive Diagrams
Peiling Jiang, Jude Rayan, Steven P. Dow +1
Large language models (LLMs) have recently soared in popularity due to their ease of access and the unprecedented ability to synthesize text responses to diverse user questions. Ho…