# 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).