EchizenG / MAD-GAN_synthetic

Code for the Non-Parametric Density Estimation experiments done in the paper "Multi-Agent Diverse Generative Adversarial Networks"

MAD-GAN_synthetic

Code for the Non-Parametric Density Estimation experiments done in the paper "Multi-Agent Diverse Generative Adversarial Networks"

Citation

If you find this code usefull then please cite:

@InProceedings{Ghosh_2018_CVPR,
author = {Ghosh, Arnab and Kulharia, Viveka and Namboodiri, Vinay P. and Torr, Philip H.S. and Dokania, Puneet K.},
title = {Multi-Agent Diverse Generative Adversarial Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgement

Thanks are due to Sanghoon Hong for his contribution