GAN（Generative Adversarial Nets）

全球高被引研究（被引 21,739 次，发表于 2017）。 We propose a new framework for estimating generative models via an adversarial process, in which we simultaneously train two models: a generative model G that captures the data distribution, and a discriminative model D …