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Ming-Xing Shao

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Open access Sep 2026

An Automated Artistic Image Aesthetic Evaluation Framework via Expert Knowledge Injection into Large Vision-Language Models

The proposed AEKI framework translates formal art principles into structured, machine-executable instructions and indicates that domain knowledge can be incorporated into LVLM evaluation through a transparent rule-based layer, supporting applications in digital curation, computational aesthetics, and art education.

Bo-Zhi Zhang, Ming-Xing Shao, Tiancheng Zhang et al. · 0 citations

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