AINeutralarXiv – CS AI · 10h ago6/10
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Semantic Browsing: Controllable Diversity for Image Generation
Researchers introduce Semantic Browsing, a method that improves diversity in AI-generated images by controlling variation at the text level rather than through random pixel-level changes. Using Vision Language Models and structured prompting, the technique enables users to explore meaningful, interpretable variations of generated images organized along semantic axes.