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English(EN) Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer

基础模型增强手部-物体交互研究

一篇新的调查论文系统地回顾了大型基础模型在手部-物体交互(HOI)任务中的应用。它将现有方法分为六个HOI任务,并提出了八个基础模型子先验的分类法,包括几何、语义和视觉先验。该论文分析了这些先验如何整合到HOI流程中,并讨论了它们在机器人学习中的应用,如技能迁移和数据生成。此外,它还概述了数据集、评估协议和未来的研究方向,并得到了一个持续更新的知识库的支持。 AI

影响 本次调查提供了大型基础模型如何推动手部-物体交互研究的结构化概述,有望加速机器人技术和具身人工智能的进展。

排序理由 该条目是一篇发表在arXiv上的调查论文,详细介绍了基础模型在手部-物体交互方面的研究。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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基础模型增强手部-物体交互研究

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该条目是一篇发表在arXiv上的调查论文,详细介绍了基础模型在手部-物体交互方面的研究。[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) · Weiquan Lin, Yu Deng, Shiyang Liu, Luping Xiao, Xu Tang, Junzhi Yu, Jiaolong Yang, Lei Zhang, Xingyu Chen ·

    大型基础模型时代的手部-物体交互:重建、生成与具身迁移

    arXiv:2607.28394v1 Announce Type: new Abstract: Hand-object interaction (HOI) modeling remains challenging because it requires joint reasoning about hand articulation, object geometry, contact, semantics, and dynamics under severe visual uncertainty. Foundation models introduce t…