核心概念
QualiCLIP proposes a quality-aware image-text alignment strategy to enhance CLIP's ability to generate accurate quality-aware image representations.
要約
QualiCLIP introduces a self-supervised opinion-unaware method for No-Reference Image Quality Assessment (NR-IQA). By aligning images and text prompts, QualiCLIP generates quality-aware representations that correlate with image degradation levels. The approach outperforms state-of-the-art methods on various datasets, demonstrating robustness and improved explainability.
統計
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引用
"No-Reference IQA focuses on designing methods to measure image quality when a high-quality reference image is unavailable."
"Our method achieves state-of-the-art performance on several datasets with authentic distortions."
"QualiCLIP generates quality-aware representations that correlate with the amount of degradation exhibited from the images."