https://github.com/jnjaby/KEEP

Official implementation of Kalman-Inspired Feature Propagation for Video Face Super-Resolution [ECCV'24]
https://github.com/jnjaby/KEEP

Last synced: 3 months ago
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Official implementation of Kalman-Inspired Feature Propagation for Video Face Super-Resolution [ECCV'24]

• Host: GitHub
• URL: https://github.com/jnjaby/KEEP
• Owner: jnjaby
• License: other
• Created: 2024-08-09T06:26:22.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-08-09T06:34:27.000Z (3 months ago)
• Last Synced: 2024-08-09T07:41:54.429Z (3 months ago)
• Size: 4.88 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# KEEP: Kalman-Inspired Feature Propagation for Video Face Super-Resolution

Official implementation of KEEP [ECCV'24]

![Python 3.7](https://img.shields.io/badge/python-3.7-green.svg?style=plastic)

![pytorch 1.3.0](https://img.shields.io/badge/pytorch-1.3.0-green.svg?style=plastic)

This repository contains the implementation of the following paper:

> **Kalman-Inspired Feature Propagation for Video Face Super-Resolution**


> Ruicheng Feng, Chongyi Li, Chen Change Loy


> European Conference on Computer Vision (**ECCV**), 2024


[[Paper]]

[[Project Page](https://jnjaby.github.io/projects/KEEP/)]

:star: If you found this project helpful to your projects, please help star this repo. Thanks! :hugs: 

## Update

- **2024.07**: This repo is created!

### Citation

   If you find our repo useful for your research, please consider citing our paper:

   ```bibtex

@InProceedings{feng2024keep,

      title     = {Kalman-Inspired FEaturE Propagation for Video Face Super-Resolution},

      author    = {Feng, Ruicheng and Li, Chongyi and Loy, Chen Change},

      booktitle = {European Conference on Computer Vision (ECCV)},

      year      = {2024}

}

   ```

### License and Acknowledgement

This project is open sourced under [NTU S-Lab License 1.0](https://github.com/jnjaby/KEEP/blob/main/LICENSE). Redistribution and use should follow this license.

The code framework is mainly modified from [CodeFormer](https://github.com/sczhou/CodeFormer/). Please refer to the original repo for more usage and documents.

### Contact

If you have any question, please feel free to contact us via `[email protected]`.