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New frameworks QuReC and ClusIR advance all-in-one image restoration techniques

By PulseAugur Editorial · [3 sources] ·

Researchers have introduced QuReC, a novel framework for all-in-one image restoration that aims to improve the recovery of images degraded by multiple or mixed corruption types. QuReC utilizes a Degradation-Guided Query Reconstruction Module (DQRM) to generate query-specific, degradation-aware representations and a Local-Global Response Calibration Module (LGRCM) for enhanced feature aggregation. A related paper proposes ClusIR, another framework for all-in-one image restoration that employs a Probabilistic Cluster-Guided Routing Mechanism (PCGRM) and a Degradation-Aware Frequency Modulation Module (DAFMM) to better handle diverse and mixed degradations by explicitly modeling degradation semantics. AI

IMPACT These frameworks advance the state-of-the-art in image restoration by offering more adaptive and robust solutions for complex degradation scenarios.

RANK_REASON The cluster contains two research papers detailing new frameworks for image restoration.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New frameworks QuReC and ClusIR advance all-in-one image restoration techniques

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The cluster contains two research papers detailing new frameworks for image restoration.
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COVERAGE [3]

  1. arXiv cs.CV TIER_1 English(EN) · Shen Zhou, Jinghui Zhang, Wenbo Huang, Xuwei Qian, Zhen Wu, Guangwen Peng, Zhiyuan Li, Ding Ding, Dian Shen, Fang Dong ·

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

    arXiv:2607.15097v1 Announce Type: new Abstract: 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. …

  2. arXiv cs.CV TIER_1 English(EN) · Fang Dong ·

    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…

  3. arXiv cs.CV TIER_1 English(EN) · Shengkai Hu, Jiaqi Ma, Xu Zhang, Yongcheng Jing, Lefei Zhang, Jun Wan ·

    ClusIR: Towards Cluster-Guided All-in-One Image Restoration

    arXiv:2512.10948v2 Announce Type: replace Abstract: All-in-One Image Restoration (AiOIR) aims to recover high-quality images from diverse degradations within a unified framework. However, existing methods often fail to explicitly model degradation types and struggle to adapt thei…

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