Generative Adversarial Networks (GANs)

GANs train a generator against a discriminator in an adversarial loop to learn realistic data distributions. Variants (WGAN, StyleGAN, conditional GANs) focus on stability, mode coverage, and conditional generation for images, audio, and other modalities.