Trains a generator against a discriminator that tries to tell real from fake. Produces sharp samples, and the minimax objective is notoriously unstable and prone to collapsing onto a few modes.
supersedescorrects · extends
classifiesspecializes · part-of
substitutes forapproximates · alternative-to
depends onrequires · validates
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alternative-tois a competing approach to Variational Autoencoderan adversarial critic instead of a likelihood bound
Referenced by
alternative-toDiffusion Model is a competing approach to thisa stable objective instead of a minimax game that collapses
References
Generative Adversarial Networks — Goodfellow et al. — 2014 · link