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cs.AI2026
AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction
Yoshia Abe, Tatsuya Daikoku, Yasuo Kuniyoshi
Accurately predicting individual aesthetic evaluation for images is a fundamental challenge for AI. Various deep learning (DL)-based models have been proposed for this task, traini…
cs.AI2024
Assessing the Aesthetic Evaluation Capabilities of GPT-4 with Vision: Insights from Group and Individual Assessments
Yoshia Abe, Tatsuya Daikoku, Yasuo Kuniyoshi
Recently, it has been recognized that large language models demonstrate high performance on various intellectual tasks. However, few studies have investigated alignment with humans…