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相关概念视频

Nonconscious Mimicry01:13

Nonconscious Mimicry

Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...

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相关实验视频

Updated: May 9, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
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Published on: January 19, 2019

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互曼巴:高效的人与人互动生成与自适应的时空曼巴.

Zizhao Wu, Yingying Sun, Yiming Chen

    IEEE transactions on visualization and computer graphics
    |November 21, 2025
    PubMed
    概括
    此摘要是机器生成的。

    InterMamba是一种用于生成人与人互动的新方法,它使用Mamba框架进行高效的运动合成. 它通过减少参数和更快的推断速度实现了最先进的结果.

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    科学领域:

    • 计算机视觉 计算机视觉
    • 人工智能的人工智能
    • 人与计算机的交互

    背景情况:

    • 人与人互动的产生对于理解社会行为至关重要,是运动合成的关键领域.
    • 现有的以变压器为基础的方法在产生复杂的人类互动时,在可扩展性和效率方面扎.
    • 需要先进的模型,能够有效地捕捉运动数据中的远程依赖性.

    研究的目的:

    • 提出InterMamba,一种新且高效的方法来产生人与人之间的互动.
    • 利用Mamba框架来更好地捕捉长序列依赖关系和实时反.
    • 提高社会互动运动合成的质量和效率.

    主要方法:

    • 引入了一个自适应的时空Mamba框架,具有平行SSM分支,用于整合空间和时间运动特征.
    • 开发了自适应和交叉适应的时空Mamba模块,以捕获序列内和序列间的运动依赖性.
    • 利用Mamba架构来高效处理长时间的动作序列.

    主要成果:

    • 在两个人与人互动数据集上实现了最先进的性能.
    • 在生成的动作序列中表现出了卓越的质量和效率.
    • 将模型参数大小减少到66M (基线InterGen的36%) 并实现InterGen的推断时间的46%.

    结论:

    • 在人与人互动生成方面,InterMamba比现有的方法提供了显著的改进.
    • 基于Mamba的框架为复杂的运动合成提供了可扩展和高效的解决方案.
    • 拟议的方法可以实现高质量,实时生成人类社会互动.