22 citations · 53 across the 16 of their papers we have counts for
18 papers
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…
C-ShipGen: A Conditional Guided Diffusion Model for Parametric Ship Hull Design
Noah J. Bagazinski, Faez Ahmed
Ship design is a complex design process that may take a team of naval architects many years to complete. Improving the ship design process can lead to significant cost savings, whi…
Fast and Accurate Bayesian Optimization with Pre-trained Transformers for Constrained Engineering Problems
Rosen, Yu, Cyril Picard +1
Bayesian Optimization (BO) is a foundational strategy in the field of engineering design optimization for efficiently handling black-box functions with many constraints and expensi…
From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges
Sai Krishna Revanth Vuruma, Ashley Margetts, Jianhai Su +2
Generative Artificial Intelligence (AI) has shown tremendous prospects in all aspects of technology, including design. However, due to its heavy demand on resources, it is usually…
BIKED++: A Multimodal Dataset of 1.4 Million Bicycle Image and Parametric CAD Designs
Lyle Regenwetter, Yazan Abu Obaideh, Amin Heyrani Nobari +1
This paper introduces a public dataset of 1.4 million procedurally-generated bicycle designs represented parametrically, as JSON files, and as rasterized images. The dataset is cre…
NITO: Neural Implicit Fields for Resolution-free Topology Optimization
Amin Heyrani Nobari, Giorgio Giannone, Lyle Regenwetter +1
Topology optimization is a critical task in engineering design, where the goal is to optimally distribute material in a given space for maximum performance. We introduce Neural Imp…