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[CVPR 2025] AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning

This is the official repo for CVPR 2025 paper "AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning".


Authors: Yuheng Xu, Shijie Yang, Xin Liu, Jie Liu, Jie Tang, Gangshan Wu

paper

Usage

  1. Build the environment:
conda env create -f AutoLUTEnvironment.yaml
  1. Follow the README.md in each folder.

SR Results

You can download the super-resolution results from aliyun drive

Because Aliyun drive doesn't support sharing .tar.gz files, I encoded them with base64 and uploaded them as text files. You'll need to extract them like this:

cat file.txt | base64 -d | tar -xzvf -

Contact

If you have any problems, please feel free to file an issue.

Star History

Star History Chart

Acknowledgments