5 papers
Generative Manufacturing: A requirements and resource-driven approach to part making
Hongrui Chen, Aditya Joglekar, Zack Rubinstein +6
Advances in CAD and CAM have enabled engineers and design teams to digitally design parts with unprecedented ease. Software solutions now come with a range of modules for optimizin…
Curve-based Neural Style Transfer
Yu-hsuan Chen, Levent Burak Kara, Jonathan Cagan
This research presents a new parametric style transfer framework specifically designed for curve-based design sketches. In this research, traditional challenges faced by neural sty…
Automating Style Analysis and Visualization With Explainable AI -- Case Studies on Brand Recognition
Yu-hsuan Chen, Levent Burak Kara, Jonathan Cagan
Incorporating style-related objectives into shape design has been centrally important to maximize product appeal. However, stylistic features such as aesthetics and semantic attrib…
Topology Optimization using Neural Networks with Conditioning Field Initialization for Improved Efficiency
Hongrui Chen, Aditya Joglekar, Levent Burak Kara
We propose conditioning field initialization for neural network based topology optimization. In this work, we focus on (1) improving upon existing neural network based topology opt…
Target specific peptide design using latent space approximate trajectory collector
Tong Lin, Sijie Chen, Ruchira Basu +3
Despite the prevalence and many successes of deep learning applications in de novo molecular design, the problem of peptide generation targeting specific proteins remains unsolved.…