OpenXD-SynBody

Synbody is the largest synthetic dynamic human gesture dataset. It includes a large scale of high-res human character models, motion sequences, varied scenes and rich modalities. Also, with the help of UnrealEngine, high-quality videos and annotations were generated. SynBody builds dynamic scenes of multiple people in different styles of environments. The characters cover more than 700 human body gestures and models as data. Different clothing, body types, genders, and age groups are covered. It uses rich action types such as standing, walking, running, jumping, and dancing to drive the construction of human body models. It also provides the corresponding SMPL/SMPLX annotations. This dataset complements the vacancy of large-scale dynamic human synthesis datasets in the academic field and will support various downstream tasks such as single-view human parametric model estimation, multi-view human parametric model estimation, and human/person presence detection and segmentation, and it aims to help promote virtual data Exploration of training methods.

Synbody是目前规模最大的合成式动态人体姿态数据集。它涵盖海量高分辨率人体角色模型、动作序列、多样化场景与丰富多模态数据。依托虚幻引擎（UnrealEngine），该数据集生成了高质量视频与标注信息。Synbody构建了多人身处多元风格环境中的动态场景，包含超过700种人体姿态与模型，覆盖不同服饰、体型、性别与年龄群体。其以站立、行走、奔跑、跳跃、舞蹈等丰富动作类型驱动人体模型构建，同时配套提供SMPL/SMPLX标注。该数据集填补了学术界大规模动态人体合成数据集的空白，可支撑单视图人体参数化模型估计、多视图人体参数化模型估计、人体/行人存在检测与分割等多种下游任务，旨在推动虚拟数据训练方法的探索。

搜集汇总

背景与挑战

背景概述

OpenXD-SynBody是一个大规模合成动态人体姿态数据集，包含超过100万帧图像和750多个高分辨率人体模型，覆盖多种动作和场景。它提供RGB图像及SMPLX注释、分割掩码等6种数据模态，支持5个相机视角，旨在填补学术领域空白并促进虚拟数据训练方法的研究。