Ha0Tang / Lggan
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[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
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Contents
- Local and Global GAN
- Cross-View Image Translation
- Semantic Image Synthesis
- Acknowledgments
- Related Projects
- Citation
- Contributions
Local and Global GAN
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Hao Tang, Dan Xu, Yan Yan, Philip H.S. Torr, Nicu Sebe.
In CVPR 2020.
The repository offers the official implementation of our paper in PyTorch.
In the meantime, check out our related ACM MM 2020 paper Dual Attention GANs for Semantic Image Synthesis, and Arxiv paper Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis.
Framework
Cross-View Image Translation Results on Dayton and CVUSA
Semantic Image Synthesis Results on Cityscapes and ADE20K
Generated Segmentation Maps on Cityscapes
Generated Segmentation Maps on ADE20K
Generated Feature Maps on Cityscapes
License
Copyright (C) 2020 University of Trento, Italy.
All rights reserved. Licensed under the CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike 4.0 International)
The code is released for academic research use only. For commercial use, please contact [email protected].
Cross-View Image Translation
Please refer to the cross_view_translation folder for more details.
Semantic Image Synthesis
Please refer to the semantic_image_synthesis folder for more details.
Acknowledgments
This source code of cross-view image translation is inspired by SelectionGAN, the source code of semantic image synthsis is inspired by GauGAN/SPADE.
Related Projects
SelectionGAN | EdgeGAN | DAGAN | PanoGAN | Guided-I2I-Translation-Papers
Citation
If you use this code for your research, please cite our papers.
LGGAN
@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}
}
EdgeGAN
@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}
}
DAGAN
@inproceedings{tang2020dual,
title={Dual Attention GANs for Semantic Image Synthesis},
author={Tang, Hao and Bai, Song and Sebe, Nicu},
booktitle ={ACM MM},
year={2020}
}
SelectionGAN
@inproceedings{tang2019multi,
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{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}
}
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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If you wish to add or remove any projects, please contact us at [email protected].