Harnessing Vision-Language Models for Perceptual Quality Assessment and Autonomous Content Adjustment in Augmented Reality

arXiv:2610.00677 · cs.CV · Submitted 2026-09-30 · Read on arXiv

cs.CV

Submitted: 2026-09-30

Updated: 2026-09-30

Code: https://github.com/Duke-I3T-Lab/RateAR

Terminology

• Benchmark — 11× in this paper · explained in 2 episodes
• Ablation — 10× in this paper · explained in 1 episode
• Alignment — 8× in this paper · explained in 1 episode
• Computer Vision and Pattern Recognition — 6× in this paper
• Ablation study — 3× in this paper · explained in 1 episode
• Affordance — 3× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Elias — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Computer Vision and Pattern Recognition Workshops — 2× in this paper
• Fidelity — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• International Symposium on Mixed and Augmented Reality — 2× in this paper
• Vision-Language Models (VLMs) — 2× in this paper · explained in 6 episodes
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes

Sources

• Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessment
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment
• TopoPerception: A Shortcut-Free Evaluation of Global Visual Perception in Large Vision-Language Models

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