Evolving Image Generation
The discussion delves into the fascinating mechanics of Generative Adversarial Networks (GANs), where a generator creates images from random inputs while a discriminator learns to differentiate between real and synthetic visuals. As the generator improves, it begins to produce increasingly convincing images, prompting the discriminator to refine its detection skills. Looking ahead, future generators may focus on creating shapes, materials, and lighting, revolutionizing the way images are rendered in graphics.In this clip
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The AI Podcast
NVIDIA Research's David Luebke on Intersection of Graphics, AI - Ep. 127
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