3 papers
cs.LG2026
Enhancing Creativity in 3D Generative Design via a TRIZ-Inspired Text-to-CAD Framework
Dongeon Lee, Leekyo Jeong, Soyoung Yoo +2
Recent advances in large language models (LLMs) have demonstrated significant potential in supporting engineering design tasks, including computer-aided design (CAD) automation. Ho…
cs.LG2026
DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation
Soyoung Yoo, Leekyo Jeong, Jinsu Ra +4
Data-driven engineering design is constrained by the lack of large-scale 3D datasets that pair geometry with physics-based performance labels. In particular, existing 3D data augme…
cs.CV2025
DeepWheel: Generating a 3D Synthetic Wheel Dataset for Design and Performance Evaluation
Soyoung Yoo, Namwoo Kang
Data-driven design is emerging as a powerful strategy to accelerate engineering innovation. However, its application to vehicle wheel design remains limited due to the lack of larg…