Normalization technique reuses fixed denoising models across noise levels

A new normalization technique enables fixed denoising models to effectively manage varying noise levels during iterative sampling without the need for retraining. This approach was tested using a SwinIR network, which demonstrated significant improvements in Peak Signal-to-Noise Ratio (PSNR) during image inpainting tasks, showcasing the technique's potential for enhancing model efficiency.