AI RESEARCH
Stable diffusion models reveal a persisting human and AI gap in visual creativity
arXiv CS.AI
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ArXi:2511.16814v2 Announce Type: replace 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 prompting conditions with varying human input: high for Human Inspired, low for Self Guided). Human raters (N=255) and GPT4o evaluated the creativity of the resulting images.