AI RESEARCH
Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM
arXiv CS.CV
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ArXi:2604.17233v1 Announce Type: new Personalized image aesthetics assessment (PIAA) aims to predict an individual user's subjective rating of an image, which requires modeling user-specific aesthetic preferences. Existing methods rely on historical user ratings for this modeling and therefore struggle when such data are unavailable. We address this zero-shot setting by using user profiles as contextual signals for personalization and adopting a profile-based personalization paradigm. We