参考最全汇总GAN网络及其各种变体（附论文及代码实现）_gan网络代码-CSDN博客
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1. **GAN类型**: Auxiliary Classifier GAN
**参考论文**: 《Conditional Image Synthesis With Auxiliary Classifier GANs》
**代码地址**: [Auxiliary Classifier GAN](https://github.com/eriklindernoren/Keras-GAN/blob/master/acgan/acgan.py)
2. **GAN类型**: BiGAN
**参考论文**: 《Adversarial Feature Learning》
**代码地址**: [BiGAN](https://github.com/eriklindernoren/Keras-GAN/blob/master/bigan/bigan.py)
3. **GAN类型**: BGAN
**代码地址**: [BGAN](https://github.com/eriklindernoren/Keras-GAN/blob/master/gan/gan.py)
4. **GAN类型**: CC-GAN
**参考论文**: 《Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks》
**代码地址**: [CC-GAN](https://github.com/eriklindernoren/Keras-GAN/blob/master/ccgan/ccgan.py)
5. **GAN类型**: CoGAN
**参考论文**: 《Coupled Generative Adversarial Networks》
**代码地址**: [CoGAN](https://github.com/eriklindernoren/Keras-GAN/blob/master/cogan/cogan.py)
6. **GAN类型**: CycleGAN
**参考论文**: 《Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks》
**代码地址**: [CycleGAN](https://github.com/eriklindernoren/Keras-GAN/blob/master/cyclegan/cyclegan.py)
7. **GAN类型**: DCGAN
**参考论文**: 《Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks》
**代码地址**: [DCGAN](https://github.com/eriklindernoren/Keras-GAN/blob/master/dcgan/dcgan.py)
8. **GAN类型**: DualGAN
**参考论文**: 《DualGAN: Unsupervised Dual Learning for Image-to-Image Translation》
**代码地址**: [DualGAN](https://github.com/eriklindernoren/Keras-GAN/blob/master/dualgan/dualgan.py)
9. **GAN类型**: InfoGAN
**参考论文**: 《InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets》
**代码地址**: [InfoGAN](https://github.com/eriklindernoren/Keras-GAN/blob/master/infogan/infogan.py)
10. **GAN类型**: LSGAN
**代码地址**: [LSGAN](https://github.com/eriklindernoren/Keras-GAN/blob/master/gan/gan.py)
11. **GAN类型**: SGAN
**代码地址**: [SGAN](https://github.com/eriklindernoren/Keras-GAN/blob/master/gan/gan.py)
12. **GAN类型**: WGAN
**代码地址**: [WGAN](https://github.com/eriklindernoren/Keras-GAN/blob/master/gan/gan.py)
