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English(EN) InfiniHand: Streaming World-Space Hand Motion Estimation from Egocentric Video

InfiniHand框架实现了流式世界空间手部运动估计

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了InfiniHand，一个新颖的端到端框架，用于从单目视频中估计世界空间手部运动。该系统联合处理MANO参数、相机轨迹和手部位置，将时空记忆与以手为中心视觉特征相结合，以耦合相机运动和手部几何。InfiniHand在ARCTIC PA-p方面比ViDiHand降低了21.4%，并以11.19 FPS运行，提供了比现有方法更高的性能和吞吐量。 AI

影响 这项研究可以改进VR、AR和机器人应用中的实时3D手部跟踪。

排序理由 该集群描述了一篇详细介绍手部运动估计新框架的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

InfiniHand框架实现了流式世界空间手部运动估计

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该集群描述了一篇详细介绍手部运动估计新框架的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    InfiniHand：从单目视频进行流式世界空间手部运动估计

    World-space hand motion estimation from egocentric video requires recovering 3D articulated hand geometry while tracking camera egomotion. Existing approaches heavily rely on cascading independent hand pose estimators and SLAM systems, resulting in error accumulation, complex pip…

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