Ian Goodfellow and colleagues proposed training a model that generates samples against another that tries to distinguish generated samples from real data.
Why it mattered: the work opened an influential route to learning how to generate data, including images.
The perspective: GANs are one branch of generative AI. Later image systems also developed around diffusion and other methods.