A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment

Tianhe Wu, Kede Ma, Jie Liang +2

While Multimodal Large Language Models (MLLMs) have experienced significant advancement in visual understanding and reasoning, their potential to serve as powerful, flexible, inter…