TaoWangzj/Awesome-Image-Restoration
The repository of survey paper "Deep Image Restoration: A Survey"
This is a comprehensive resource for anyone researching how to improve the quality of digital images using deep learning. It organizes and references over 1,500 research papers, detailing methods to transform degraded images (blurry, noisy, hazy, low-light) into clear, high-quality versions. Researchers, academics, and computer vision engineers would use this to explore current techniques and identify future research directions in image restoration.
Use this if you are a researcher or academic who needs to understand the current landscape and technical advancements in deep learning methods for improving image quality.
Not ideal if you are looking for ready-to-use software or code implementations to directly apply image restoration techniques without deep technical research.
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Nov 10, 2025
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