We’ll traverse it one step at a time. Let the journey begin.
- GAN: Generative Adversarial Networks
- DCGAN: Deep Convolutional Generative Adversarial Network
- CGAN: Conditional Generative Adversarial Network
- CycleGAN
- CoGAN: Coupled Generative Adversarial Networks
- ProGAN: Progressive growing of Generative Adversarial Networks
- WGAN: Wasserstein Generative Adversarial Networks
- SAGAN: Self-Attention Generative Adversarial Networks
- BigGAN: Big Generative Adversarial Networks
- StyleGAN: Style-based Generative Adversarial Networks
2014-2019 Generative Adversarial Networks - The Story So Far
2014-2019 GAN 的前世今生
4.5 years of GAN progress on face generation.
Papers corresponding to the figure above 上图对应的论文
- https://arxiv.org/abs/1406.2661
- https://arxiv.org/abs/1511.06434
- https://arxiv.org/abs/1606.07536
- https://arxiv.org/abs/1710.10196
- https://arxiv.org/abs/1812.04948
先放一张GAN家族主要模型的概要图有一个大致的概念。左边部分主要是改进模型解决实际的图片转换,文本转图像,生成图片,视频转换等实际问题;右边部分呢则是主要解决GAN框架本身存在的一些问题。阅读一文看懂GAN演进图谱了解更多。