This is the official implementation of AAAI 2025 paper "Color Transfer with Modulated Flows".
The paper was also presented at "Workshop SPIGM @ ICML 2024".
Please refer to the
- ModFlows_demo.ipynb to use the pretrained model for color transfer on your own images with the demo jupyter notebook
- ModFlows_demo_batched.ipynb to use the pretrained model for color transfer for large images
- HuggingFace 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
Call python3 run_inference.py --help
to see a full list of arguments for inference.
Ctrl+C
cancels the execution.
If you use this code in your research, please cite our work:
@inproceedings{larchenko2024color,
title={Color Style Transfer with Modulated Flows},
author={Larchenko, Maria and Lobashev, Alexander and Guskov, Dmitry and Palyulin, Vladimir Vladimirovich},
booktitle={ICML 2024 Workshop on Structured Probabilistic Inference $\{$$\backslash$\&$\}$ Generative Modeling}
}