# SGAN
**Repository Path**: xsw1234/SGAN
## Basic Information
- **Project Name**: SGAN
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2018-10-09
- **Last Updated**: 2020-12-19
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## 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 (xh258@cornell.edu).