From Imitation to Creation: The Magic of GANs

Generative Adversarial Networks

Imagine a sharp-eyed art forger and a detective playing a game. The forger (Generator AI) tries to create a fake Picasso painting. The detective (Discriminator AI) tries to spot the fake. At first, the detective always wins. But the forger learns from its mistakes until its forgeries are so good that the detective can no longer tell the difference. This process results in new, original art.

Real-World Example

This technology is behind AI art generators where you provide text prompts. It's also used in music services to create a new piece of music in the style of Bach.