Defining and Quantifying Creative Behavior in Popular Image Generators

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Aditi Ramaswamy, Hana Chockler, Melane Navaratnarajah

Published: 2025, Last Modified: 27 Feb 2026CoRR 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Creativity of generative AI models has been a subject of scientific debate in the last years, without a conclusive answer. In this paper, we study creativity from a practical perspective and introduce quantitative measures that help the user to choose a suitable AI model for a given task. We evaluated our measures on a number of popular image-to-image generation models, and the results of this suggest that our measures conform to human intuition.