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-},
}