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MoEmo 视觉变换器：在 HRI 情感检测中整合交叉注意力和运动向量的 3D 姿势估计

💡 原文中文，约300字，阅读约需1分钟。
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内容提要

该文介绍了一种名为HuMoR的3D人体运动模型，可以鲁棒地估计时间姿态和形状。该模型是一个表达能力强的条件变分自编码器生成模型，可以从模糊的观察中推断出合理的姿态和形状。经过广泛的评估，证明该模型可以推广到多样化的动作和身体形状，并且可以从多种输入模态重建运动。

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标签

3D人体运动模型 HuMoR 向量 姿态 形状 自编码器
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