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Official Implementation of "Color Transfer with Modulated Flows" (AAAI 2025)

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# Color Transfer with Modulated Flows (AAAI 2025)

arXiv: https://arxiv.org/abs/2503.19062

This is the official implementation of AAAI 2025 paper "Color Transfer with Modulated Flows".

The paper was also presented at ["Workshop SPIGM @ ICML 2024"](https://openreview.net/forum?id=Lztt4WVusu).

Please refer to the
- [ModFlows_demo.ipynb](https://github.com/maria-larchenko/modflows/blob/main/ModFlows_demo.ipynb) to use the pretrained model for color transfer on your own images with the demo jupyter notebook
- [ModFlows_demo_batched.ipynb](https://github.com/maria-larchenko/modflows/blob/main/ModFlows_demo_batched.ipynb) to use the pretrained model for color transfer for large images
- [HuggingFace](https://huggingface.co/MariaLarchenko/modflows_color_encoder) for the model checkpoints
- src directory for models definitions
- generate_flows_v2 script for training the dataset of rectified flows
- train_encoder_v2 script for training the encoder

How to clone and download pre-trained weights:
```
git clone https://github.com/maria-larchenko/modflows.git
cd modflows;
sudo apt install git-lfs; git lfs install
git clone https://huggingface.co/MariaLarchenko/modflows_color_encoder
```

Call `python3 run_inference.py --help` to see a full list of arguments for inference.
`Ctrl+C` cancels the execution.

## Citation
If you use this code in your research, please cite our work:
```
@article{Larchenko_Lobashev_Guskov_Palyulin_2025, title={Color Transfer with Modulated Flows}, volume={39}, url={https://ojs.aaai.org/index.php/AAAI/article/view/32470},
DOI={10.1609/aaai.v39i4.32470},  number={4},
journal={Proceedings of the AAAI Conference on Artificial Intelligence},
author={Larchenko, Maria and Lobashev, Alexander and Guskov, Dmitry and Palyulin, Vladimir Vladimirovich}, year={2025}, month={Apr.}, pages={4464-4472} }
```

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