MPII Human Shape

MPII人体形状是人体模型数据集，包括一系列人体轮廓和形状的3D模型和工具，其中训练模型是从平面扫描数据库CAESAR学习的。
MPII人体形状是一组3D人体形状模型和工具，用于基于从Kaiser数据集 (迄今为止最大的商业扫描数据库) 学习的统计身体表示来构建，操纵和评估人体形状空间。
该数据集由马克斯·普朗克信息学研究所2017年发布，主要由Leonid Pishchulin，Stefanie Wuhrer，Thomas Helten，Christian Theobalt和Bernt Schiele在相关论文 “为3D人类建模构建统计形状空间” 中发布。

MPII Human Shape is a human body model dataset that encompasses a series of 3D models and tools for human body contours and shapes, with its training models learned from the planar scanning database CAESAR. MPII Human Shape is a collection of 3D human shape models and tools developed for constructing, manipulating, and evaluating the human shape space based on statistical body representations learned from the Kaiser Dataset, which is the largest commercial scanning database to date. This dataset was released in 2017 by the Max Planck Institute for Informatics, and was primarily published by Leonid Pishchulin, Stefanie Wuhrer, Thomas Helten, Christian Theobalt and Bernt Schiele in the associated paper "Building Statistical Shape Spaces for 3D Human Modeling".

搜集汇总

背景与挑战

背景概述

MPII Human Shape是一个由马克斯普朗克信息学研究所于2017年发布的人体形状数据集，包含3D人体模型和相关工具，基于CAESAR和Kaiser数据集学习构建，旨在支持人体形状空间的统计建模和评估。