9 citations · 23 across the 7 of their papers we have counts for
4 papers · 1 filter
Drag-guided diffusion models for vehicle image generation
Nikos Arechiga, Frank Permenter, Binyang Song +1
Denoising diffusion models trained at web-scale have revolutionized image generation. The application of these tools to engineering design is an intriguing possibility, but is curr…
Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data
Hanqi Su, Binyang Song, Faez Ahmed
Accurate vehicle rating prediction can facilitate designing and configuring good vehicles. This prediction allows vehicle designers and manufacturers to optimize and improve their…
Surrogate Modeling of Car Drag Coefficient with Depth and Normal Renderings
Binyang Song, Chenyang Yuan, Frank Permenter +2
Generative AI models have made significant progress in automating the creation of 3D shapes, which has the potential to transform car design. In engineering design and optimization…
Multi-modal Machine Learning in Engineering Design: A Review and Future Directions
Binyang Song, Rui Zhou, Faez Ahmed
In the rapidly advancing field of multi-modal machine learning (MMML), the convergence of multiple data modalities has the potential to reshape various applications. This paper pre…