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.
View on arXiv@article{ramaswamy2025_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 }
}