#image-quality-assessment News & Analysis

2 articles tagged with #image-quality-assessment. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · May 117/10

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APEX: Assumption-free Projection-based Embedding eXamination Metric for Image Quality Assessment

Researchers introduce APEX, a novel image quality assessment metric that addresses fundamental limitations in existing evaluation methods like FID by using Sliced Wasserstein Distance and modern foundation models (CLIP, DINOv2) as embedding-agnostic feature extractors. The framework eliminates parametric assumptions while maintaining scalability to high-dimensional spaces, demonstrating superior robustness and stability across datasets.

AINeutralarXiv – CS AI · Apr 106/10

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Q-Probe: Scaling Image Quality Assessment to High Resolution via Context-Aware Agentic Probing

Q-Probe introduces a novel agentic framework for scaling image quality assessment to high-resolution images by addressing limitations in existing reinforcement learning approaches. The research presents Vista-Bench, a new benchmark for fine-grained degradation analysis, and demonstrates state-of-the-art performance across multiple resolution scales through context-aware probing mechanisms.