HumanRig

The HumanRig dataset is introduced in the CVPR2025 paper titled "HumanRig: Learning Automatic Rigging for Humanoid Character in a Large Scale Dataset". This work addresses the critical need for a comprehensive dataset and a robust framework for automatic rigging of 3D humanoid character models. HumanRig is a large-scale dataset of AI-generated T-pose humanoid models, all rigged with a consistent skeleton topology. It significantly surpasses previous datasets in terms of size, diversity, complexity, and practical motion applications.

HumanRig数据集于CVPR2025会议论文《HumanRig：基于大规模数据集的类人角色自动绑定学习》中被正式提出。该研究针对3D类人角色模型自动绑定领域对大规模数据集与鲁棒框架的迫切需求展开。HumanRig是一个由人工智能（Artificial Intelligence, AI）生成的T姿态（T-pose）类人模型的大规模数据集，所有模型均采用统一的骨骼拓扑结构（skeleton topology）完成绑定。该数据集在数据规模、样本多样性、模型复杂度以及实际运动应用等多个维度上，均显著优于此前发布的同类数据集。