AttentionGAN_JupyterNB

A simplified version of the AttentionGAN

Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks.
This model was trained on a GTX 1060 6G.
Trainig time varies with dataset, but on an average I had to train for atleast 5hrs minimum to see decent results.

Outputs

Uploading..

Acknowledgment

I would like to thank Ha0Tang for letting me tinker around with and reproduce his work.

References

Check out the Official repo Official repo
Link to the Extended paper

@article{tang2019attentiongan,
  title={AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks},
  author={Tang, Hao and Liu, Hong and Xu, Dan and Torr, Philip HS and Sebe, Nicu},
  journal={arXiv preprint arXiv:1911.11897},
  year={2019}
}

@inproceedings{tang2019attention,
  title={Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation},
  author={Tang, Hao and Xu, Dan and Sebe, Nicu and Yan, Yan},
  booktitle={International Joint Conference on Neural Networks (IJCNN)},
  year={2019}
}

Note

Please leave a link to this repo if you use my code for your project and also acknowledge the original paper and author