gan

Definition

Generative Adversarial Network: a generator that fabricates samples and a discriminator that tries to tell them from real data, trained against each other. GANs dominated image synthesis before diffusion models, and their key advantage remains speed — one forward pass yields a sample. The recurring difficulties are mode collapse, where the generator covers only part of the data distribution, and generally brittle training dynamics.