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Research questionHow can quality assessment detect and localize anomalies introduced by enhancement in real-world user-generated images?Enhancement pipelines can improve overall appearance while creating subtle defects in faces, text, and textures. Holistic image-quality scores may overlook where these defects occur and how severe they are.
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Computer Vision
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Image & Video Processing
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Latest papersRecent research connected to this question, newest first.Fine-Grained Anomaly Perception in Wild UGC-Enhanced Images: A Comprehensive Dataset and Difference-Fusion FrameworkThe source defines the UEAP task and introduces the UEAP-4k dataset, built from real business scenarios with annotations for anomaly categories, localization, and severity. It also reports a framework for anomaly identification in wild UGC-enhanced images.research paper · Sep 2, 2026
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