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English(EN) Gaze2HOI: Gaze-Aware Intention Disambiguation for Egocentric Hand-Object Interaction Forecasting

Gaze2HOI框架使用注视线索预测AR/VR中的手部-物体交互

研究人员开发了Gaze2HOI,一个旨在预测增强现实和虚拟现实环境中人类手部-物体交互的新型框架。该系统利用注视模式,特别是注视强度和近期性,来消除用户意图歧义并优化预测。Gaze2HOI将这些注视线索整合到视觉-语言模型中,并使用一个预期接触定位模块将意图映射到明确的接触和放置区域,从而提高几何精度。该框架最终采用一个基于扩散的模型,该模型联合生成手部和物体轨迹,在名为EgoAIM的新基准上展示了最先进的性能。 AI

影响 通过改进对用户与物体交互的预测,增强了AR/VR中的主动辅助功能。

排序理由 该集群描述了一篇详细介绍AR/VR中人类-物体交互预测新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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Gaze2HOI框架使用注视线索预测AR/VR中的手部-物体交互

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该集群描述了一篇详细介绍AR/VR中人类-物体交互预测新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Chuanyang Ma, Chenye Wang, Yixuan Wang, Huiling Zhou, Xingqun Qi, Muyi Sun, Man Zhang, Caifeng Shan, Zhenan Sun ·

    Gaze2HOI:用于自我中心手部-物体交互预测的注视感知意图消歧

    arXiv:2610.27877v1 Announce Type: new Abstract: Anticipating how users will interact with their surroundings is essential for proactive systems that provide timely assistance in AR, VR, and embodied applications. Prior work typically forecasts hand-object interactions directly fr…