/CycleGAN

In this repository, I reproduce the CycleGAN paper.

Primary LanguagePythonBSD 3-Clause "New" or "Revised" LicenseBSD-3-Clause

CycleGAN

In this repository, I reproduce the CycleGAN paper.

How to use?

  1. The code is available on Colab for anyone to quickly run and reproduce the entire paper in one go. One can find the notebook here: Colab --

Results

References

  1. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. Link to paper
  2. Perceptual Losses for Real-Time Style Transfer and Super-Resolution. Link to paper
  3. Perceptual Losses for Real-Time Style Transfer and Super-Resolution: Supplementary Material. Link to paper

License

The code in this repository is made available for free. If possible, kindly refer back to this repository.