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