Landmark
Generative Adversarial Networks (GANs)
Ian Goodfellow and colleagues introduced Generative Adversarial Networks (GANs), a revolutionary framework where two neural networks compete: a generator creates synthetic data while a discriminator evaluates authenticity. This opened new frontiers in generative AI.
- Two-network adversarial training framework
- Generator learns to create realistic data
- Discriminator learns to detect fakes
- Enabled realistic image generation
- Foundation for modern generative AI