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English(EN) Reconstructing Humans and Objects in Interaction using Large Reconstruction Models

MILO框架使用大型重建模型进行3D人-物交互

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出了一种新框架MILO，该框架利用大型重建模型（LRMs）从单个图像中重建详细的3D人-物交互。这种方法利用LRMs提供的几何支架来保留相对排列和邻近线索，从而简化了重建过程。MILO将LRM网格分割为人类和物体组件，将参数化身体模型拟合到人类部分，并可选择性地对齐物体模板。该框架在各种交互场景中展示了强大的重建准确性，并优于现有基准。 AI

影响 通过利用大型重建模型，增强了AR/VR、机器人和具身AI应用中的3D重建能力。

排序理由 详细介绍3D重建新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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MILO框架使用大型重建模型进行3D人-物交互

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详细介绍3D重建新框架的研究论文。[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) · Agniv Chatterjee, Georgios Pavlakos ·

    使用大型重建模型重建交互中的人类和物体

    arXiv:2608.27407v1 Announce Type: new Abstract: Estimation of Human-Object Interactions in 3D (3D HOI) is a fundamental problem in 3D computer vision with applications in AR/VR, robotics, and embodied AI. However, reconstructing these interactions in 3D remains challenging due to…

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