Goal Conditioned Reinforcement Learning for Photo Finishing Tuning

NeurIPS 2024

Project Page | Video

Installation

conda create --name <env> --file requirements.txt

Run

prepare the input-target data pair like:

├─ExpertC0001-0-Best-Input.tif
└─ExpertC0001-0-Best-Target.tif
...

add the data path into bash/run.sh.

bash bash/run.sh

Citation

@article{wu2024goal,
  title={Goal Conditioned Reinforcement Learning for Photo Finishing Tuning},
  author={Jiarui Wu and Yujin Wang and Lingen Li and Zhang Fan and Tianfan Xue},
  booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},
  year={2024},
}

License

This repository is licensed under Attribution-NonCommercial 4.0 International

1. Attribution — Proper credit must be given, including a link to the license and an indication of any modifications made. This should be done in a reasonable manner, without implying endorsement by the licensor

2. NonCommercial — The Algorithm may NOT be used for commercial purposes. This includes, but is not limited to, the sale, licensing, or integration of the Software into commercial products or services.

For collaboration or inquiries, please contact us.

Acknowledgement

This code is based on the StableBaseline3.