PoseScript:将3D人类姿势与自然语言联系起来
概括
我们介绍PoseScript,这是一个数据集,将3D人类姿势与自然语言描述结合起来. 这一数据集通过将姿势数据与丰富的语义信息联系起来,使先进的计算机视觉任务成为可能.
科学领域:
- 计算机视觉 计算机视觉
- 自然语言处理自然语言处理.
- 人的姿势估计 人的姿势估计
背景情况:
- 自然语言对于计算机视觉任务至关重要,例如图像标题.
- 目前的3D人体姿势数据集缺乏详细的语言描述,阻碍了理解.
- 人类的姿势对于人类的理解至关重要.
研究的目的:
- 介绍PoseScript数据集,以弥合3D人类姿势和自然语言描述之间的差距.
- 通过自动标题扩展数据集大小,为数据饥饿的学习算法提供自动标题.
- 在多模式学习任务中展示注释姿势的实用性.
主要方法:
- 通过将6000多个3D人类姿势 (来自AMASS) 与人类注释的描述配对而创建了PoseScript.
- 开发了一个自动标题过程,使用从3D键点和语法规则中提取的"posecodes".
- 创建了10万个合成描述来缩放数据集,用于预训练深度模型.
主要成果:
- 建立了3D姿势和文本的联合嵌入空间,从而实现跨模式检索.
- 开发了以文本为条件的3D姿势生成的基准.
- 介绍了一个学习过程,用于从3D关键点生成姿势描述.
结论:
- 该PoseScript数据集显著增强计算机视觉任务的多模式学习.
- 有注释的3D姿势在各种应用中提供了多功能性和实用性.
- 数据集和方法为未来研究语言引导的人体姿势理解铺平了道路.
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