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RainDancer 框架融合 RGB 和事件相机数据以实现高级视频去雨

研究人员开发了 RainDancer,一个结合 RGB 和事件相机数据的视频去雨新框架。该方法采用“先分解后交互”策略,在融合前分离每个数据流中的雨滴和背景成分。RGB 分支逐步分解帧特征,而事件分支则采用面向雨滴的脉冲神经网络来捕捉雨滴动力学。该方法旨在提高去雨视频的质量和鲁棒性,以用于下游感知任务。 AI

影响 通过提高去雨视频数据的质量,这项研究可能有助于在恶劣天气条件下实现更可靠的视觉感知系统。

排序理由 该集群包含一篇详细介绍视频去雨新技术的学术论文。

在 arXiv cs.CV 阅读 →

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RainDancer 框架融合 RGB 和事件相机数据以实现高级视频去雨

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该集群包含一篇详细介绍视频去雨新技术的学术论文。
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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Kui Jiang, Runzhe Li, Zhaocheng Yu, Guanglu Sun, Junjun Jiang, Xianming Liu ·

    RainDancer:具有面向雨滴的脉冲动力学的RGB-事件视频去雨

    arXiv:2607.13802v1 Announce Type: new Abstract: Video deraining aims to recover clean visual content from rainy videos for reliable perception under adverse weather. Existing methods mainly rely on RGB sequences and temporal redundancy, but RGB-only restoration remains ambiguous …

  2. arXiv cs.CV TIER_1 English(EN) · Xianming Liu ·

    RainDancer:具有面向雨滴的脉冲动力学的RGB-事件视频去雨

    Video deraining aims to recover clean visual content from rainy videos for reliable perception under adverse weather. Existing methods mainly rely on RGB sequences and temporal redundancy, but RGB-only restoration remains ambiguous in dynamic rainy scenes, where rain streaks, tex…