AI Video Enhance
This repository collects the state-of-the-art algorithms for video/image enhancement using deep learning (AI) in recent years, including super resolution, compression artifact reduction, deblocking, denoising, image/color enhancement, HDR.
Install / Use
npx skills add jlygit/AI-video-enhanceInstalls into whichever agent you are using.
README
AI-video-enhance
This repository collects the state-of-the-art algorithms for video/image enhancement using deep learning (AI) in recent years, including reviews and engineering practices.
视频/图像增强手段包括去伪影/去块/去噪(artifacts reduction, deblocking, denoising)、超分辨率(super resolution)、图像/色彩增强(image/color enhancement),这里主要针对这几种领域收集一些优秀的AI算法,并在工程上进行一些代码试验。
super resolution
- SRCNN-ECCV2014
- ESPCN-CVPR2016
- FSRCNN-ECCV2016
- VDSR-CVPR2016
- DRCN-CVPR2016
- LapSRN-CVPR2017
- SRDenseNet-ICCV2017
- SRGAN-CVPR2017
- EDSR-CVPR2017
- DBPN-CVPR2018
- RDN-CVPR2018
- RCAN-ECCV2018
相关资源
- 视频增强 https://github.com/yulunzhang/video-enhancement
- 压缩编码 https://github.com/flyywh/Image-compression-and-video-coding
- video SR https://github.com/LoSealL/VideoSuperResolution
- image SR https://github.com/icpm/super-resolution https://github.com/YapengTian/Single-Image-Super-Resolution
- Awesome Deep Vision https://github.com/kjw0612/awesome-deep-vision
- Awesome Computer Vision https://github.com/jbhuang0604/awesome-computer-vision
- denoising https://github.com/flyywh/Image-Denoising-State-of-the-art
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Audited on Jul 9, 2026
