source code of Adversarial Feedback Loop Paper

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Deep LearningAFL
Overview

Adversarial Feedback Loop

[ArXiv] [project page]

Official repository of Adversarial Feedback Loop paper
Firas Shama, Roey Mechrez, Alon Shoshan, Lihi Zelnik-Manor
Technion - Israel Institute of Technology


The Adversarial Feedback Loop

Improves quality of GANs (CIFAR10):

Improves face generation (CelebA):

Improves super-resolution:


Baseline Ours
GT Baseline iter1 iter2 iter3

Code usage

The repository includes the source code used for the paper. Each application has its own usage guidelines, please follow the instructions in each application directory.

Citation

If you find our research or code useful for you, please cite our paper:

@article{shama2018adversarial,
  title={Adversarial Feedback Loop},
  author={Shama, Firas and Mechrez, Roey and Shoshan, Alon and Zelnik-Manor, Lihi},
  journal={arXiv preprint arXiv:1811.08126},
  year={2018}
}
Owner
Computer Vision & Deep Learning Master Student
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