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English(EN) FunRec: Reconstructing Functional 3D Scenes from Egocentric Interaction Videos

FunRec 从第一人称视频中重建交互式三维场景

研究人员开发了 FunRec,一种从第一人称 RGB-D 视频创建室内环境交互式三维数字孪生(digital twins)的新颖方法。该方法处理不受约束的人类交互序列,自动识别关节部件、估计其运动,并重建静态和动态几何。与现有方法相比,FunRec 在部件分割和姿态准确性方面取得了显著改进,能够实现诸如模拟就绪网格导出和机器人-场景交互等应用。 AI

影响 能够从真实世界的交互数据创建模拟就绪的三维环境。

排序理由 这是一篇详细介绍三维场景重建新方法的学术论文。

在 arXiv cs.CV 阅读 →

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FunRec 从第一人称视频中重建交互式三维场景

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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Alexandros Delitzas, Chenyangguang Zhang, Alexey Gavryushin, Tommaso Di Mario, Boyang Sun, Rishabh Dabral, Leonidas Guibas, Christian Theobalt, Marc Pollefeys, Francis Engelmann, Daniel Barath ·

    FunRec:从以自我为中心的交互视频中重建三维功能场景

    arXiv:2604.05621v2 Announce Type: replace Abstract: We present FunRec, a method for reconstructing functional 3D digital twins of indoor scenes directly from egocentric RGB-D interaction videos. Unlike existing methods on articulated reconstruction, which rely on controlled setup…