4DHumanOutfit

4DHumanOutfit数据集是由法国国家信息与自动化研究所格勒诺布尔研究中心创建，包含20名演员在不同服装下执行11种动作的4D动态数据。该数据集旨在捕捉和分析人体在运动中的形态、服装和动作，数据量达1540个序列。数据集通过多视角采集平台获取，支持高分辨率的3D几何模型重建。此数据集适用于数字人处理、增强现实、虚拟试衣等领域的研究，旨在解决从部分数据理解人体运动并生成逼真的数字人动画的问题。

The 4DHumanOutfit dataset was created by the Grenoble Research Center of the French National Institute for Informatics and Automation (INRIA). It encompasses 4D dynamic data from 20 actors performing 11 distinct movement types while wearing diverse outfits, totaling 1540 sequences. This dataset aims to capture and analyze human body morphology, clothing features and movements during physical motion. Collected via a multi-view acquisition platform, it enables high-resolution 3D geometric model reconstruction. The 4DHumanOutfit dataset is applicable to research in domains including digital human processing, augmented reality, virtual try-on and more, and is intended to address the challenge of understanding human movement from partial data and generating realistic digital human animations.