Stacked Generative Adversarial Networks
This repository contains code for the paper “Stacked Generative Adversarial Networks“, CVPR 2017. Part of the code is modified from OpenAI’s implementation of Improved GAN.
| 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 |
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}}
If you have any questions about the code, feel free to email me (xh258@cornell.edu).