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新框架将人类和场景重建相结合,以改进3D建模

研究人员开发了一个名为SHOW的新框架,该框架在一个统一的度量空间中集成了3D场景重建和人类网格恢复。这种方法通过允许人类模型为场景几何提供信息,反之亦然,从而解决了从单目相机重建动态场景中的人类所面临的挑战。该系统使用一个可掩码提示的机制来选择特定的人类,抑制背景干扰,并处理遮挡,从而提高了重建的度量尺度一致性和对齐性。 AI

影响 这种集成的3D重建方法可以通过实现更准确和上下文感知的、人类和场景建模来推动虚拟现实、机器人和增强现实等领域的应用。

排序理由 该集群包含一篇在arXiv上发表的关于新技术框架的研究论文。

在 arXiv cs.CV 阅读 →

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新框架将人类和场景重建相结合,以改进3D建模

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该集群包含一篇在arXiv上发表的关于新技术框架的研究论文。
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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Boao Shi, Qiao Feng, Yiming Huang, Lingjie Liu ·

    场景与人物共存一域:前馈网络中的重建

    arXiv:2606.27720v1 Announce Type: new Abstract: Reconstructing humans in dynamic scenes from moving monocular cameras remains challenging due to scale ambiguity, human-scene misalignment, and occlusion interference. Rather than treating human mesh recovery and scene reconstructio…

  2. arXiv cs.CV TIER_1 English(EN) · Lingjie Liu ·

    场景与人物共存于一幅画面:前馈网络中的重构

    Reconstructing humans in dynamic scenes from moving monocular cameras remains challenging due to scale ambiguity, human-scene misalignment, and occlusion interference. Rather than treating human mesh recovery and scene reconstruction as separate tasks, we believe that accurate hu…