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papersSEP 10 04:00 UTC

Test-time Prompt Refinement Method Reduces Prompt Sensitivity in Text-to-Image Models

A new preprint addresses how text-to-image generators can produce varying results when the wording of a prompt is only slightly changed. The authors present a closed-loop technique that adjusts the prompt during inference, with the goal of making generated images better match the intended meaning. The revised v2 of the arXiv paper describes the approach and its evaluation.

arXivinference-time optimizationprompt engineeringprompt-sensitivitytest-time prompt refinementtext-to-image generation

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