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One of the most notable advancements in this field is the development of GANs, which consist of two neural networks: a generator and a discriminator. The generator produces images, while the discriminator examines them against genuine images from the training collection. This adversarial process continues up until the generator produces images that are tantamount from actual ones, as evaluated by the discriminator. The outcome is an AI system efficient in producing highly realistic images that can fool even the most discerning human observers. This technology has dis