3 papers
eess.IV2026
Zero-shot CT Super-Resolution using Diffusion-based 2D Projection Priors and Signed 3D Gaussians
Jeonghyun Noh, Hyun-Jic Oh, Won-Ki Jeong
Computed tomography (CT) is important in clinical diagnosis, but acquiring high-resolution (HR) CT is constrained by radiation exposure risks. While deep learning-based super-resol…
cs.CV2025
MC-INR: Efficient Encoding of Multivariate Scientific Simulation Data using Meta-Learning and Clustered Implicit Neural Representations
Hyunsoo Son, Jeonghyun Noh, Suemin Jeon +2
Implicit Neural Representations (INRs) are widely used to encode data as continuous functions, enabling the visualization of large-scale multivariate scientific simulation data wit…
cs.CV2025
Synthetic Data Augmentation using Pre-trained Diffusion Models for Long-tailed Food Image Classification
GaYeon Koh, Hyun-Jic Oh, Jeonghyun Noh +1
Deep learning-based food image classification enables precise identification of food categories, further facilitating accurate nutritional analysis. However, real-world food images…