OmniPoser框架从灵活的传感器输入中重建3D人体运动

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

研究人员推出OmniPoser，一个新颖的框架，旨在从灵活的传感器输入阵列中重建3D人体运动。与需要特定传感器配置且计算密集型的前期方法不同，OmniPoser可以利用3D关键点、IMU旋转或头戴式姿势等多样化数据。该系统采用跨模态掩码机制和使用条件流匹配的双流生成骨干网络，实现了高效、高速的运动恢复。 AI

影响为机器人、动画和虚拟现实等应用提供了更灵活、更高效的3D人体运动捕捉能力。

排序理由关于3D人体运动恢复新方法的 ist 研究论文。 [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Minghao Liu, Tutian Tang · 2026-10-15 04:00

OmniPoser: 灵活恢复野外遮蔽流匹配的人体运动

arXiv:2610.19857v1 Announce Type: new Abstract: Recovering 3D human motion from sparse wearable sensors is challenging due to the inherent noise, occlusion, and instability of real-world tracking signals. Existing approaches are restricted to fixed sensor configurations and, when…

本文如何被排名

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OmniPoser: 灵活恢复野外遮蔽流匹配的人体运动

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