Timeline milestone
GANs turn generation into a competition
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Research
GANs turn generation into a competition
Ian Goodfellow and colleagues introduced Generative Adversarial Networks, training a generator against a discriminator.
The generator learned to create samples that could fool the discriminator, while the discriminator learned to detect synthetic output. GANs became influential in realistic image synthesis, although training instability and limited diversity remained recurring problems.Sources & references 1 source
