AI 이미징 연구실(AI Imaging Lab)

Generative models provide a powerful framework for tackling various imaging tasks, from image enhancement and inpainting to style transfer. A central challenge lies in preserving fine details while maintaining high-fidelity realism, pushing the boundaries of generative models beyond conventional synthesis. Restoring and enhancing degraded visual data requires robust low-level vision models. Research efforts address tasks such as denoising, deblurring, and super-resolution, with a particular focus on handling challenging conditions like extreme low-light environments and motion blur. Deploying high-quality vision models in mobile and embedded environments demands efficiency. This research direction explores lightweight network architectures and hardware-aware algorithms, optimizing computational cost while preserving visual quality. The AI Imaging Lab has been selected for the Outstanding Young Researcher Grant from the National Research Foundation of Korea. We are pleased to welcome Sangwoo Jo and Jayeon Kang to our lab. Our lab has officially launched at Korea University! We are excited to build a dynamic research environment and collaborate with scholars and industry partners worldwide. Stay tuned for upcoming projects and publications.