A multi-scale dual-branch spatial attention network with dynamic training for zero-shot image denoising
Zero-shot image denoising aims to restore a clean image from a single noisy observation without relying on external training data, which remains a challenging problem due to extremely limited supervision and complex noise characteristics. To address this issue, we propose a zero-shot denoising framework that combines a...