Diversity-Sensitive Conditional GANs
Created by Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee
Paper | Project page
Introduction
This repository contains the implementations of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR2019), which proposes a simple regularization term that can be nicely plugged into any cGAN framework to promote diversity in the generator outputs.
@inproceedings{dsganICLR2019,
title={Diversity-Sensitive Conditional Generative Adversarial Networks},
author={Yang, Dingdong and Hong, Seunghoon and Jang, Yunseok and Zhao, Tianchen and Lee, Honglak},
booktitle={Proceedings of the International Conference on Learning Representations},
year={2019}
}
Example Results
Image-to-Image Translation
Image Inpainting
Video Prediction
