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README.md
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---
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license: mit
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---
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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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# Generate face images from the sketch using TediGAN
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## Model description
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[TediGAN model](https://arxiv.org/abs/2012.03308)
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#### How to use
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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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## Generated Images
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![Example image](example.png)
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### BibTeX entry and citation info
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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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@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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```
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