https://github.com/mstazherova/im-cyclegan

🤓 Applying cycle-consistent adversarial networks to the face attribute manipulation problem.
https://github.com/mstazherova/im-cyclegan

computer-vision cyclegan gan image-translation keras tensorflow

Last synced: 20 days ago
JSON representation

🤓 Applying cycle-consistent adversarial networks to the face attribute manipulation problem.

• Host: GitHub
• URL: https://github.com/mstazherova/im-cyclegan
• Owner: mstazherova
• Created: 2018-08-23T11:15:01.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-01-17T10:38:33.000Z (almost 5 years ago)
• Last Synced: 2024-10-28T00:19:38.890Z (2 months ago)
• Topics: computer-vision, cyclegan, gan, image-translation, keras, tensorflow
• Language: Python
• Homepage:
• Size: 19.2 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# IM-CycleGAN

Individual Module Project, University of Potsdam

The purpose of this project was to apply cycle-consistent adversatial networks proposed by Zhu et al. [1] to the face attribute manipulation problem.

We investigate the use of unpaired image-to-image translation using [CycleGAN](https://junyanz.github.io/CycleGAN/) to the task of eyeglasses removal from faces along with the reverse task of adding eyeglasses to facial images.

Final version can be found in `keras` folder. All implementation details and model architecture can also be found in the project paper (report_cycleGAN.pdf).

## Data

Data folders are not being uploaded to GitHub due to size issues and a little bit of privacy.

Sets:

* Eyeglasses: 1777 training images

* No-eyeglasses: 1687 training images

## References

[1] Zhu, J. Y., Park, T., Isola, P., & Efros, A. A. (2017). [Unpaired image-to-image translation using cycle-consistent adversarial networks.](http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhu_Unpaired_Image-To-Image_Translation_ICCV_2017_paper.pdf)