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General Adversarial Network - What is the major problem with GAN?


The primary issue with General Adversarial Networks (GANs) is their inability to concentrate on the entire data distribution. This is due to the GANs' objective function having similarities with the Jensen-Shannon divergence (JSD). Studies have indicated that even for a bi-model distribution, minimizing JSD only results in a good fit to the main mode, and fails to generate high-quality images.