Implementations
- BEGAN: Boundary equilibrium generative adversarial networks (Berthelot et al.)
- DCGAN: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (Radford et al.)
- GAN: Generative Adversarial Networks (Goodfellow et al.)
- LSGAN: Least squares generative adversarial networks (Mao et al.)
- WGAN: Wasserstein GAN (Arjovsky et al.)
- WGAN-GP: Improved Training of Wasserstein GANs (Gulrajani et al.)