Ha0Tang / Selectiongan
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[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Stars: ✭ 366
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python
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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:
- person image generation:
- semantic image synthesis:
More related guided image-to-image translation papers can be found in this page.
To Do List
- [x] SelectionGAN: CVPR version
- [x] SelectionGAN++: TPAMI submission
- [x] Pix2pix++: Takes RGB image and target semantic map as inputs: code
- [x] X-ForK++: Takes RGB image and target semantic map as inputs: code
- [x] X-Seq++: Takes RGB image and target semantic map as inputs: code
Others
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]).
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