My fork for MGAN with an added colab notebook and some missing scripts for dataset downloads.

Mixture Generative Adversarial Nets (MGAN)

This TensorFlow code implements an example of MGAN for the CIFAR-10 dataset, presented in the paper "MGAN: Training Generative Adversarial Nets with Multiple Generators" accepted at the 6th International Conference on Learning Representations (ICLR 2018).

The code is tested on Linux-based operating system with Python 3.6, TensorFlow 1.2.1. The data for this example can be downloaded here.

Run the model using this command:

python main.py

Please kindly look at the file main.py for hyperparameter arguments.

Citation

Quan Hoang, Tu Dinh Nguyen, Trung Le, Dinh Phung. "MGAN: Training Generative Adversarial Nets with Multiple Generators". International Conference on Learning Representations, 2018.

Bibtex

@inproceedings{
        hoang2018mgan,
        title={{MGAN}: Training Generative Adversarial Nets with Multiple Generators},
        author={Quan Hoang and Tu Dinh Nguyen and Trung Le and Dinh Phung},
        booktitle={International Conference on Learning Representations},
        year={2018},
        url={https://openreview.net/forum?id=rkmu5b0a-},
        }