Stable Diffusion Models Reveal a Persisting Human–AI Gap in Visual Creativity

ABSTRACT While recent research suggests Large Language Models match human creative performance in divergent thinking tasks, visual creativity remains underexplored. This study compared image generation in human participants (Visual Artists and Non‐Artists) and using an image‐generation AI model (two...

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Autors principals:	Silvia Rondini, Claudia Alvarez‐Martin, Paula Angermair‐Barkai, Olivier Penacchio, Marc Paz, Matthew Pelowski, Dan Dediu, Antoni Rodriguez‐Fornells, Xim Cerda‐Company
Format:	Artigo
Idioma:	Inglês
Publicat:	Wiley 2026-05-01
Col·lecció:	Advanced Science
Matèries:	creativity generative AI stable diffusion
Accés en línia:	https://doi.org/10.1002/advs.202524142
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