Enhancing Intent Understanding for Ambiguous Prompts through
Human-Machine Co-Adaptation
Enhancing Intent Understanding for Ambiguous Prompts through
Human-Machine Co-Adaptation
Modern image generation systems can produce high-quality visuals, yet user prompts often contain ambiguities, requiring multiple revisions. Existing methods struggle to address the nuanced needs of non-expert users. We propose Visual Co-Adaptation (VCA), a novel framework that iteratively refines prompts and aligns generated images with user preferences. VCA employs a …