Preprint Open access
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. Existing methods are limited: they either addre …