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README.md

License CC BY-NC-SA 4.0 Python 3.6 Packagist Last Commit Maintenance Contributing Ask Me Anything !

SelectionGAN for Guided Image-to-Image Translation

CVPR Paper | Extended Paper | Guided-I2I-Translation-Papers

SelectionGAN Results

Citation

If you use this code for your research, please cite our papers.

@article{tang2020multi,
  title={Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation},
  author={Tang, Hao and Xu, Dan and Yan, Yan and Corso, Jason J and Torr, Philip HS and Sebe, Nicu},
  journal={arXiv preprint arXiv:2002.01048},
  year={2020}
}

@inproceedings{tang2019multichannel,
  title={Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation},
  author={Tang, Hao and Xu, Dan and Sebe, Nicu and Wang, Yanzhi and Corso, Jason J. and Yan, Yan},
  booktitle={CVPR},
  year={2019}
}

@article{tang2020edge,
  title={Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis},
  author={Tang, Hao and Qi, Xiaojuan and Xu, Dan and Torr, Philip HS and Sebe, Nicu},
  journal={arXiv preprint arXiv:2003.13898},
  year={2020}
}

@inproceedings{tang2019local,
  title={Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation},
  author={Tang, Hao and Xu, Dan and Yan, Yan and Torr, Philip HS and Sebe, Nicu},
  booktitle={CVPR},
  year={2020}
}

Related Projects

Cross-View Image Translation

Hand Gesture Translation

Facial Expression Generation

Person Image Generation

Semantic Image Synthesis

To Do List

  • SelectionGAN: CVPR version
  • SelectionGAN++: TPAMI submission
  • Pix2pix++: Takes RGB image and target semantic map as inputs: code
  • X-ForK++: Takes RGB image and target semantic map as inputs: code
  • X-Seq++: Takes RGB image and target semantic map as inputs: code

Others

Acknowledgments

This source code borrows heavily from Pix2pix.

Contributions

If you have any questions/comments/bug reports, feel free to open a github issue or pull a request or e-mail to the author Hao Tang (hao.tang@unitn.it).

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