lixinghpu / SCCL

Efficient Style-Corpus Constrained Learning for Photorealistic Style Transfer

Prerequisites

• Python3.7
• Pytorch 1.1

Test

• Clone from github:

  git clone https://github.com/lixinghpu/SCCL.git

  cd SCCL

• Download pre-trained models.

  Baidu：https://pan.baidu.com/s/19JENFU19r-KZx3poxPfzHQ

  mask： 6lv2

• Generate the output image.

  python test.py --content "content_path"  --style  "style_path"  --output_name "result_name"  --model_state_path  "pretrained_dir"
  

Acknowledgement

Our implementation is highly inspired from the implementation of AdaIN and WCT².

References

• X. Huang and S. Belongie. "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization.", in ICCV, 2017.
• Jaejun Yoo and Youngjung Uh. "Photorealistic Style Transfer via Wavelet Transforms." in ICCV, 2019.

Citation

@article{

title={Efficient Style-Corpus Constrained Learning for Photorealistic Style Transfer},

author={Yingxu Qiao, Jiabao Cui, Fuxian Huang, Hongmin Liu*, Cuizhu Bao, Xi Li},

journal={IEEE Trans. On Image Processing},

year={2021}

}

Contact

Feel free to contact me if there is any question ([e-mail]).