Q-Probe: Scaling Image Quality Assessment to High Resolution via Context-Aware Agentic Probing
eess.IV, cs.AI
Submitted: 2026-01-21
Updated: 2026-09-25
Terminology
Sources
- Qwen2.5-VL Technical Report
- Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Refine-IQA: Multi-Stage Reinforcement Finetuning for Perceptual Image Quality Assessment
- Q-Insight: Understanding Image Quality via Visual Reinforcement Learning
- Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning
- A survey on IQA
- Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
- InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
- Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning
- Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
- VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank
- Reasoning as Representation: Rethinking Visual Reinforcement Learning in Image Quality Assessment
- DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning
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