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NeuralAnnot: Neural Annotator for 3D Human Mesh Training Sets

Introduction

This repo provides 3D pseudo-GTs (SMPL/MANO/FLAME/SMPL-X parameters) of various datasets, obtained by NeuralAnnot (CVPRW 2022 Oral.). We additionally provide 3D pseudo-GTs of SMPL parameters of MSCOCO, obtained by Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild (CVPRW 2023). You need to install smplx.

Human3.6M

MPI-INF-3DHP

MSCOCO

MPII 2D Pose Dataset

3DPW

CrowdPose

FFHQ

InstaVariety

InterHand2.6M

Reference

@InProceedings{Moon_2022_CVPRW_NeuralAnnot,  
author = {Moon, Gyeongsik and Choi, Hongsuk and Lee, Kyoung Mu},  
title = {NeuralAnnot: Neural Annotator for 3D Human Mesh Training Sets},  
booktitle = {Computer Vision and Pattern Recognition Workshop (CVPRW)},  
year = {2022}  
}  

@InProceedings{Moon_2023_CVPRW_3Dpseudpgts,  
author = {Moon, Gyeongsik and Choi, Hongsuk and Chun, Sanghyuk and Lee, Jiyoung and Yun, Sangdoo},  
title = {Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild},  
booktitle = {Computer Vision and Pattern Recognition Workshop (CVPRW)},  
year = {2023}  
}