VR/AR Art and Immersive Experiences
Generative Adversarial Networks (GANs) are a class of machine learning frameworks where two neural networks, a generator and a discriminator, compete against each other to create new data that mimics real data. This competition drives both networks to improve, resulting in the generator producing increasingly realistic outputs over time. GANs are particularly influential in the realm of immersive art as they enable artists to explore innovative styles and concepts by generating unique visual content based on existing datasets.
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