Traversing the Satisfaction-Diversity Frontier in Text-to-Image Diffusion
Text-to-image generation enables users to explore several images generated from the same prompt. For these generated images to be useful, each one must reflect the user's preferences, measured by a learned reward, and differ visually from the others to maintain diversity.
By Kevin Zhai, Siva Rajesh Kasa, Soumya Roy, Sumit Negi, Mubarak ShaharXiv - cs.AI
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Originally published by arXiv - cs.AI on Oct 5, 2026.
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