Generative Adversarial Networks (GANs) Explained

Before Transformers took over, GANs were the kings of image generation.

The Generator and The Discriminator

A GAN consists of two neural networks:

1. The Generator: Tries to create realistic images.
2. The Discriminator: Tries to distinguish between real and fake images.

They compete against each other, leading to increasingly realistic outputs.