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What is Diffusion Models in Image Restoration Survey about?

This document presents a comprehensive survey on the use of diffusion models for image restoration, highlighting their advantages over traditional GAN-based methods. It reviews various diffusion model-based approaches, categorizing them into supervised and zero-shot learning strategies, and discusses their application in tasks such as image super-resolution, deblurring, and inpainting. The paper also identifies challenges and proposes future research directions to enhance the efficacy of diffusion models in

Author

priyanshus5883

Language

EN