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Sep, 2024
图像恢复的扩散模型研究综述
Taming Diffusion Models for Image Restoration: A Review
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Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön
TL;DR
本研究旨在解决现有扩散模型在图像恢复任务中的局限性与挑战。通过介绍扩散模型的关键构建及其在图像去噪、去模糊和去雾等低级计算机视觉任务中的应用,本文提供了对当前技术的全面回顾。最重要的发现是,本文为未来的研究方向提供了实用的建议,促进了扩散模型在图像恢复领域的发展。
Abstract
Diffusion Models
have achieved remarkable progress in generative modelling, particularly in enhancing image quality to conform to human preferences. Recently, these models have also been applied to low-level
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