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https://github.com/xunhuang1995/sgan

Stacked Generative Adversarial Networks
https://github.com/xunhuang1995/sgan

computer-vision generative-adversarial-network generative-model machine-learning

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Stacked Generative Adversarial Networks

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README

        

# Stacked Generative Adversarial Networks

This repository contains code for the paper "[Stacked Generative Adversarial Networks](https://arxiv.org/abs/1612.04357)", CVPR 2017. Part of the code is modified from OpenAI's [implementation](https://github.com/openai/improved-gan) of Improved GAN.

## Architecture



## Samples





## Performance Comprison on CIFAR-10
| Method       | Inception Score |
| ------------- | ----------- |
| Infusion training   |  4.62 ± 0.06     |
| GMAN (best variant) |  5.34 ± 0.05 |
| LR-GAN |  6.11 ± 0.06 |
| EGAN-Ent-VI |  7.07 ± 0.10 |
| Denoising feature matching |  7.72 ± 0.13 |
| DCGAN |  6.58 |
| SteinGAN |  6.35 |
| Improved GAN(best variant) |  8.09 ± 0.07 |
| AC-GAN |  8.25 ± 0.07 |
| **SGAN (ours)**  |  **8.59 ± 0.12** |

## Citations

If you use the code in this repository in your paper, please consider citing:

```
@inproceedings{huang2017sgan,
title={Stacked Generative Adversarial Networks},
author={Huang, Xun and Li, Yixuan and Poursaeed, Omid and Hopcroft, John and Belongie, Serge},
booktitle={CVPR},
year={2017}
}
```

## Contact

If you have any questions about the code, feel free to email me ([email protected]).