Diffusion models have emerged as a powerful tool for high-quality image restoration, enabling the recovery of clean, photo-realistic images from various types of degraded inputs.
The author proposes an efficient diffusion model tailored for image restoration, reducing the number of diffusion steps while maintaining performance. The model balances fidelity and perceptual quality through hyperparameters tuning.