3 papers
cs.CV2026
Structured State-Space Regularization for Generation-Friendly Image Tokenization
Jinsung Lee, Jaemin Oh, Namhun Kim +3
Image tokenizers play a central role in modern generative models, where the structure of the latent space critically determines the downstream generation performance. A key but und…
eess.IV2025
BioAtt: Anatomical Prior Driven Low-Dose CT Denoising
Namhun Kim, UiHyun Cho
Deep-learning-based denoising methods have significantly improved Low-Dose CT (LDCT) image quality. However, existing models often over-smooth important anatomical details due to t…
cs.CV2025
A-IDE : Agent-Integrated Denoising Experts
Uihyun Cho, Namhun Kim
Recent advances in deep-learning based denoising methods have improved Low-Dose CT image quality. However, due to distinct HU distributions and diverse anatomical characteristics,…