GANalyze: Toward Visual Definitions of Cognitive Image Properties

Understand

We introduce a framework that uses Generative Adversarial Networks (GANs) to study cognitive properties like memorability, aesthetics, and emotional valence.

• These attributes are of interest because we do not have a concrete visual definition of what they entail.
• What does it look like for a dog to be more or less memorable? GANs allow us to generate a manifold of natural-looking images with fine-grained differences in their visual attributes.
• By navigating this manifold in directions that increase memorability, we can visualize what it looks like for a particular generated image to become more or less memorable.