4 papers
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…
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…
Learned Image Compression and Restoration for Digital Pathology
SeonYeong Lee, EonSeung Seong, DongEon Lee +7
Digital pathology images play a crucial role in medical diagnostics, but their ultra-high resolution and large file sizes pose significant challenges for storage, transmission, and…
Enhancing Free-hand 3D Photoacoustic and Ultrasound Reconstruction using Deep Learning
SiYeoul Lee, SeonHo Kim, Minkyung Seo +9
This study introduces a motion-based learning network with a global-local self-attention module (MoGLo-Net) to enhance 3D reconstruction in handheld photoacoustic and ultrasound (P…