Generative Adversarial Networks (GANs) are at the heart of modern AI image generation. GANs consist of two neural networks, the generator and the discriminator, engaged in a creative tug-of-war. The generator creates images, and the discriminator evaluates them. As the generator strives to produce images that are indistinguishable from real ones, it continually refines its output based on the discriminator's feedback.