GAN — Generative Adversarial Network

Fact

A generative model where two neural networks learn by competing.

In Plain Words

A GAN is like a fake-ID kid and a sharp-eyed bouncer. The kid gets better because the bouncer keeps saying, “Nice try.”

You meet it in fake faces and image editing. It also helped deepfakes look real.

Related Concepts

• Generative Model
• Deepfake
• Diffusion Model
• Adversarial Example

Generative Model
GAN is a generative model. It learns to make realistic samples.

Deepfake
GAN was often used for face swaps and fake human faces.

Diffusion
GAN and Diffusion can both make images, but they train differently.

Adv Example
Both use adversarial ideas, but they aim at different goals.