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Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions

This repository contains code and data used in the paper "Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions". This work was done by students and collaborators at:


MIDAS lab at IIIT-Delhi


Dataset

We leverage the CelebA dataset to create a dataset that contains face images with text captions.
In data/ directory you will find caps.txt which contains a list of captions. The first column of each row consists of the image name (same as the image names used by CelebA) and the second column is the captions. In the second column each caption is seperated by a | (please refer to the paper to find what each caption signifies and how these captions were generated). In our paper we treated all captions corresponding to a single image as one caption and tried to generate the output.

Please refer to the paper for more information.

References

Please cite [1] if you found the resources in this repository useful. Preprint of the paper can be found here: https://arxiv.org/abs/1911.11378

[1] O. R. Nasir, S. K. Jha, M. S. Grover, Y. Yu, A. Kumar and R. R. Shah, "Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions," 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM), Singapore, Singapore, 2019, pp. 58-67. doi: 10.1109/BigMM.2019.00-42.

@inproceedings{nasir2019text2facegan,
  author={O. R. {Nasir} and S. K. {Jha} and M. S. {Grover} and Y. {Yu} and A. {Kumar} and R. R. {Shah}},
  booktitle={2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM)},
  title={Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions},
  year={2019},
  pages={58-67},
  doi={10.1109/BigMM.2019.00-42},
  month={Sep.},
}

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