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paperarXivTrust 82 · PrimaryPublished 8d agoLive · 5d ago

QuReC: All-in-One Image Restoration with Query-Specific Guidance and Local-Global Response Calibration

All-in-one image restoration aims to recover clean images degraded by multiple corruption types using a single unified model. Existing methods typically rely on image-level prompts or shared guidance to handle diverse degradations. However, such a paradigm becomes inadequate when degradations are spatially heterogeneous or even coexist in mixed forms within a single image. Yet spatially adaptive guidance alone is not sufficient, since accurate restoration also requires each spatial query to reliably aggregate complementary information from local neighborhoods and global contexts. To this end,

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  • FuzzySimilar title/name (fuzzy) · 59%Tongyi-MAI/Z-Image-Turbo

    Fuzzy title match (0.73): “QuReC: All-in-One Image Restoration with Query-Specific Guid” ≈ “Tongyi-MAI/Z-Image-Turbo”

  • FuzzySimilar title/name (fuzzy) · 84%mudler/LocalAI

    Fuzzy title match (0.92): “QuReC: All-in-One Image Restoration with Query-Specific Guid” ≈ “mudler/LocalAI”

  • FuzzyOverlapping authors or contributors · 62%sgl-project/sglang

    Shared author/contributor keys: zhou

  • LinkedLinked via arxiv author · 85%Keshen Zhou

    QuReC: All-in-One Image Restoration with Query-Specific Guidance and Local-Global Response Calibration

  • LinkedLinked via arxiv author · 85%Jinghui Zhang

    QuReC: All-in-One Image Restoration with Query-Specific Guidance and Local-Global Response Calibration

  • LinkedLinked via arxiv author · 85%Wenbo Huang

    QuReC: All-in-One Image Restoration with Query-Specific Guidance and Local-Global Response Calibration

  • LinkedLinked via arxiv author · 85%Xuwei Qian

    QuReC: All-in-One Image Restoration with Query-Specific Guidance and Local-Global Response Calibration

  • LinkedLinked via arxiv author · 85%Zhen Wu

    QuReC: All-in-One Image Restoration with Query-Specific Guidance and Local-Global Response Calibration

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