Farzan Farnia

IGA allows generative models to not only imitate but also creatively exceed the diversity of their training data, redefining the boundaries of generative capabilities.

Generative models systematically underestimate data diversity, losing up to X% of entropy, because training on finite datasets inherently biases them towards lower diversity estimates.