Zoom-IQA: Image Quality Assessment with Reliable Region-Aware Reasoning
Zoom-IQA introduces a framework that uses iterative reasoning and zooming to assess image quality. It trains a Vision Language Model (VLM) to learn how to focus on quality-relevant regions by simulating cognitive behaviors like uncertainty awareness and region reasoning. This method improves the model's reliability, explainability, and generalization compared to existing IQA models.