caizhongang/SynBody

SynBody是一个合成数据集，旨在通过提供大规模的人类数据集来推动3D人类研究。该数据集具有三个主要特点：1) 一个可以生成多样化主题的服装参数化人类模型；2) 分层的3D注释，支持多种任务；3) 一个可扩展的系统，用于生成逼真的数据以促进实际任务。数据集包含120万张图像，对应精确的3D注释，覆盖了10,000个人体模型、1,187个动作和多种视角。此外，数据集还包含用于人体姿态和形状估计以及人类神经渲染的两个子集。

SynBody is a synthetic dataset designed to advance 3D human research by providing large-scale human datasets. The dataset features three main characteristics: 1) a clothed parametric human model capable of generating a diverse range of subjects; 2) layered 3D annotations that support multiple tasks; 3) a scalable system for producing realistic data to facilitate real-world tasks. The dataset comprises 1.2M images with corresponding accurate 3D annotations, covering 10,000 human body models, 1,187 actions, and various viewpoints. Additionally, the dataset includes two subsets for human pose and shape estimation as well as human neural rendering.