AI RESEARCH
Q-Tacit: Image Quality Assessment via Latent Visual Reasoning
arXiv CS.CV
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ArXi:2603.22641v1 Announce Type: new Vision-Language Model (VLM)-based image quality assessment (IQA) has been significantly advanced by incorporating Chain-of-Thought (CoT) reasoning. Recent work has refined image quality reasoning by applying reinforcement learning (RL) and leveraging active visual tools. However, such strategies are typically language-centric, with visual information being treated as static preconditions.