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

新框架QuReC和ClusIR推动一体化图像修复技术发展

作者 PulseAugur 编辑部 · [3 个来源] ·

研究人员推出了一种新颖的一体化图像修复框架QuReC，旨在改进对多种或混合腐蚀类型退化图像的恢复效果。QuReC利用退化引导查询重建模块（DQRM）生成查询特定、感知退化的表示，并利用局部-全局响应校准模块（LGRCM）增强特征聚合。一篇相关论文提出了ClusIR，这是另一个一体化图像修复框架，它采用概率聚类引导路由机制（PCGRM）和感知退化频率调制模块（DAFMM），通过显式建模退化语义来更好地处理多样化和混合退化。 AI

影响 这些框架通过为复杂退化场景提供更具适应性和鲁棒性的解决方案，推动了图像修复领域的最先进技术。

排序理由 该集群包含两篇详细介绍图像修复新框架的研究论文。

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

新框架QuReC和ClusIR推动一体化图像修复技术发展

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报道来源 [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：具有查询特定指导和局部-全局响应校准的一体化图像修复

    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：具有查询特定指导和局部-全局响应校准的一体化图像修复

    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：迈向集群引导的一体化图像修复

    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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