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English(EN) WaMo: Wavelet-Enhanced Multi-Frequency Trajectory Analysis for Fine-Grained Text-Motion Retrieval

WaMo框架通过小波分析增强文本-运动检索 · arXiv cs.CV

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了WaMo，一个用于文本-运动检索的新框架，该框架使用小波分解来分析3D运动序列。该方法在多个分辨率下捕捉特定关节和随时间变化的运动细节，从而改善了运动数据和文本描述之间的对齐。WaMo在HumanML3D和KIT-ML数据集上分别实现了17.0%和18.2%的相对性能提升，超越了当前最先进的方法。 AI

影响 改善了文本和3D运动数据之间的细粒度对齐，可能推动动画和机器人领域的应用。

排序理由 这是一篇详细介绍文本-运动检索新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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WaMo框架通过小波分析增强文本-运动检索 · arXiv cs.CV

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这是一篇详细介绍文本-运动检索新方法的学术论文。[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) · Junlong Ren, Gangjian Zhang, Honghao Fu, Pengcheng Wu, Hao Wang ·

    WaMo：小波增强多频轨迹分析，用于细粒度文本-运动检索

    arXiv:2508.03343v2 Announce Type: replace Abstract: Text-Motion Retrieval (TMR) aims to retrieve 3D motion sequences semantically relevant to text descriptions. However, matching 3D motions with text remains highly challenging, primarily due to the intricate structure of the huma…

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