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The study aims to investigate the differences in visual creativity between human artists and AI-generated images.

March 26, 2026Advanced ScienceOpen Access

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

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The study aims to investigate the differences in visual creativity between human artists and AI-generated images.
Compared image generation in Visual Artists, Non-Artists, and AI under different prompting conditions.
Evaluated creativity with human raters and an AI evaluator (GPT-4o) under two conditions.
Analyzed creativity gradient across groups based on human input levels.
Visual Artists showed highest creativity, followed by Non-Artists, then Human-Inspired GenAI, and Self-Guided GenAI.
Increased human guidance significantly enhanced GenAI's creativity, nearly matching Non-Artists.
Guided-GPT-4o produced human-like evaluations, unlike baseline GPT-4o which had different patterns.

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Compares visual creativity outcomes in artists and AI, suggesting unique challenges for AI in visual domains.

Rondini et al. (2026) studied this question.

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