AIBullisharXiv – CS AI · 9h ago7/10
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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.