Dog-IQA: A Training-Free, Standard-Guided, and Mix-Grained Image Quality Assessment Method Using Multimodal Large Language Models

This paper introduces Dog-IQA, a novel training-free method for image quality assessment (IQA) that leverages the capabilities of pre-trained multimodal large language models (MLLMs) and segmentation models to achieve state-of-the-art performance in zero-shot settings.