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  license: mit
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  ---
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+ tags:
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+ - huggan
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+ - gan
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+ # See a list of available tags here:
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+ # https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts#L12
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+ # task: unconditional-image-generation or conditional-image-generation or image-to-image
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  license: mit
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  ---
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+
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+ # Generate face images from the sketch using TediGAN
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+
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+ ## Model description
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+
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+ [TediGAN model](https://arxiv.org/abs/2012.03308)
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+
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+
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+ #### How to use
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+
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+ ```python
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+ # You can include sample code which will be formatted
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+ ```
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+
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+ ## Generated Images
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+
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+ ![Example image](example.png)
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+
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+ ### BibTeX entry and citation info
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+
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+ ```bibtex
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+ @inproceedings{xia2021tedigan,
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+ title={TediGAN: Text-Guided Diverse Face Image Generation and Manipulation},
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+ author={Xia, Weihao and Yang, Yujiu and Xue, Jing-Hao and Wu, Baoyuan},
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+ booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
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+ year={2021}
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+ }
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+
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+ @article{xia2021open,
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+ title={Towards Open-World Text-Guided Face Image Generation and Manipulation},
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+ author={Xia, Weihao and Yang, Yujiu and Xue, Jing-Hao and Wu, Baoyuan},
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+ journal={arxiv preprint arxiv: 2104.08910},
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+ year={2021}
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+ }
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+ ```