GANs
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Generative Adversarial Networks. Two networks compete: a generator creates fake data, a discriminator tries to distinguish real from fake. Through adversarial training, the generator learns to produce increasingly realistic outputs. Pioneered realistic image generation.
Related
- Diffusion Models (largely replaced GANs for image generation)
- VAEs (alternative generative approach)