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English(EN) UniRED: Unified RGB-D Video Frame Interpolation with Event Guidance

UniRED框架统一了RGB-D视频插值与事件引导

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了UniRED，一个通过整合RGB外观、深度几何和基于事件的时间线索来插值RGB-D视频的新型框架。该方法解决了现有方法在RGB-D数据中模糊边界和几何不一致性方面的局限性。UniRED融合了这些多模态输入来估计双向流并合成目标帧，并且创建了一个新的RGB-D-Event数据集来支持训练。 AI

影响 这项研究可以提高插值RGB-D视频的质量和几何精度，从而受益于运动分析和3D重建等应用。

排序理由 该集群包含一篇详细介绍视频帧插值新方法的论文。

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

UniRED框架统一了RGB-D视频插值与事件引导

报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Yinuo Zhang, Guangshun Wei, Yuanfeng Zhou, Yiran Shen ·

    UniRED: Unified RGB-D Video Frame Interpolation with Event Guidance

    arXiv:2606.24282v1 Announce Type: new Abstract: High frame-rate RGB-D videos are crucial for a variety of downstream tasks, including motion analysis, dynamic scene understanding, and 3D reconstruction. However, due to hardware and sensing constraints, practical RGB-D cameras are…

  2. arXiv cs.CV TIER_1 English(EN) · Yiran Shen ·

    UniRED: Unified RGB-D Video Frame Interpolation with Event Guidance

    High frame-rate RGB-D videos are crucial for a variety of downstream tasks, including motion analysis, dynamic scene understanding, and 3D reconstruction. However, due to hardware and sensing constraints, practical RGB-D cameras are typically limited to low frame rates, making it…

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