IDF: Iterative Dynamic Filtering Networks
for Generalizable Image Denoising

Even though IDF is trained with extremely limited data (e.g., a single-level Gaussian noise), it generalizes effectively to diverse unseen noise types and levels with only ~0.04M parameters.