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Generative Adversarial Networks (GANs) were first introduced in 2014 by Ian Goodfellow et. al. GANs has shown tremendous success in Computer Vision. In recent times, it started showing promising results in Audio, Text as well. In this article, we will talk about some of the most popular GAN architectures that you should know to have a diverse coverage of GAN architecture. The most popular architecture is CycleGAN, followed by BiCycleGAN, then ReCyclesGAN and so on to CycleGAN.