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A Simple framework for image restoration, it includes ECBSR, ELAN and other SOTAs.

License: Apache License 2.0

Python 78.31% Makefile 0.13% C++ 18.79% C 2.77%
pytorch super-resolution efficient mobile

simpleir's Introduction

SimpleIR

A simple framework for image restoration, including training, testing and deploying. Docs and more features will come soon!

Citation

If SimpleIR helps your research or work, please consider citing the following works:


@inproceedings{zhang2021edge,
  title={Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices},
  author={Zhang, Xindong and Zeng, Hui and Zhang, Lei},
  booktitle={Proceedings of the 29th ACM International Conference on Multimedia},
  pages={4034--4043},
  year={2021}
}
@article{zhang2022efficient,
  title={Efficient Long-Range Attention Network for Image Super-resolution},
  author={Zhang, Xindong and Zeng, Hui and Guo, Shi and Zhang, Lei},
  journal={arXiv preprint arXiv:2203.06697},
  year={2022}
}

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simpleir's Issues

How to generate div2k_cache?

I am very interested in your framework,could you please tell me how to generate div2k_cache?and could you give a detailed dataset. And Can you give a detailed configuration data set and model‘s test file(test.py)?

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