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.
@article{arxiv.2505.04497,
title = {Defining and Quantifying Creative Behavior in Popular Image Generators},
author = {Aditi Ramaswamy and Hana Chockler and Melane Navaratnarajah},
journal= {arXiv preprint arXiv:2505.04497},
year = {2025}
}