2025
Random Is All You Need: Random Noise Injection on Feature Statistics for Generalizable Deep Image Denoising
ICLR 2025poster
Recent advancements in generalizable deep image denoising have catalyzed the development of robust noise-handling models. The current state-of-the-art, Masked Training (MT), constructs a masked swinir model which is trained exclusively on Gaussian noise ($\sigma$=15) but can achieve commendable deno…