Yuya Otsuka

Probabilistic Prompt Adaptation for Unified Image Aesthetics and Quality Assessment

Recent advances in vision-language foundation models have enabled text-driven evaluation of image aesthetics and visual quality. However, existing models are typically optimized for fixed prompts or specific datasets, limiting their adaptability to diverse evaluation criteria. This paper presents Pr