tensorflow2.X implementations of Generative Adversarial Networks.
- 中文介绍 | ACGAN | (Conditional Image Synthesis With Auxiliary Classifier GANs)
- 中文介绍 | BIGAN | (Bidirectional Generative Adversarial Networks)
- 中文介绍 | BSGAN | (Boundary Seeking Generative Adversarial Networks)
- 中文介绍 | CGAN | (Conditional Generative Adversarial Nets)
- 中文介绍 | COGAN | (Coupled Generative Adversarial Networks)
- 中文介绍 | DCGAN | (Deep Convolutional Generative Adversarial Networks)
- 中文介绍 | DualGAN | (DualGAN: Unsupervised Dual Learning for Image-to-Image Translation)
- 中文介绍 | GAN | (Generative Adversarial Networks)
- 中文介绍 | LSGAN | (Least Squares Generative Adversarial Networks)
- 中文介绍 | NEMGAN | (Noise Engineered Mode-matching GANs)
- 中文介绍 | SGAN | (Semi-Supervised Learning with Generative Adversarial Networks)
- 中文介绍 | WGAN | (Wasserstein GAN)
Please contact me if you have any related questions or improvements.
