Generative Adversarial Networks (GANs) are a method where two neural networks compete against each other to produce realistic outputs. This technique is popular for tasks like image generation and translation, as seen in videos about spatially aware 3D GANs or controllable image transfers. If you want to learn how machines can create new content that mimics real-world data, GANs are key to your toolkit.
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