Other GAN architectures that you can explore include the following:

• BigGAN: LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (https://arxiv.org/pdf/1809.11096.pdf)
• WaveGAN: Synthesizing Audio with Generative Adversarial Networks (https://arxiv.org/abs/1802.04208)
• BEGAN: BEGAN: Boundary Equilibrium Generative Adversarial Networks (https://arxiv.org/abs/1703.10717)
• AC-GAN: Conditional Image Synthesis With Auxiliary Classifier GANs (https://arxiv.org/abs/1610.09585)

• AdaGAN: AdaGAN: Boosting Generative Models (https://arxiv.org/abs/1701.02386v1)
• ArtGAN: ArtGAN: Artwork Synthesis with Conditional Categorial GANs (https://arxiv.org/abs/1702.03410)
• BAGAN: BAGAN: Data Augmentation with Balancing GAN (https://arxiv.org/abs/1803.09655)
• BicycleGAN: Toward Multimodal Image-to-Image Translation (https://arxiv.org/abs/1711.11586)
• CapsGAN: CapsGAN: Using Dynamic Routing for Generative Adversarial Networks (https://arxiv.org/abs/1806.03968)
• E-GAN: Evolutionary Generative Adversarial Networks (https://arxiv.org/abs/1803.00657)
• WGAN: Wasserstein GAN (https://arxiv.org/abs/1701.07875v2)

There are hundreds of other GAN architectures that have been developed by researchers.