- Score 83
- Official
From Structural Feedback to Prompt Policies: Learning Faithful Text-to-Image Prompt Editors
arXiv:2610.36146v1 Announce Type: new Abstract: Prompt optimization should improve the image a user receives without changing the scene the user requested. Yet stylistic rewriting can weaken object attributes and relations even when global text--image similarity remains high. We propose StruPO, a structure-aware prompt editor that uses a calibrated scene graph as a shared representation for policy
So what
What this event means by reading role—not a longer recap.
- BuilderBuilders can adopt a one-pass prompt-rewrite policy that preserves object attributes and relations, cutting iterative critique-rewrite loops in image pipelines.
- ResearcherThe paper turns scene-graph structural feedback into a training signal, with ablations linking gains to graph conditioning, local editing, and image-grounded le
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