chenhui2333/selectiongan

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

SelectionGAN for Guided Image-to-Image Translation

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

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}
}

In the meantime, check out our related papers:

• cross-view image translation:
  • Cross-View Panorama Image Synthesis
• person image generation:
  • XingGAN for Person Image Generation (ECCV 2020)
  • Bipartite Graph Reasoning GANs for Person Image Generation (BMVC 2020 Oral)
• semantic image synthesis:
  • Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis
  • Dual Attention GANs for Semantic Image Synthesis (ACM MM 2020)
  • Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation (CVPR 2020)

More related guided image-to-image translation papers can be found in this page.

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

• How to write a great science paper

Acknowledgments

This source code is inspired by 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 ([email protected]).

Collaborations

I'm always interested in meeting new people and hearing about potential collaborations. If you'd like to work together or get in contact with me, please email [email protected].

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In life, patience is the key. It's much better to be going somewhere slowly than nowhere fast.