mks0601/NeuralAnnot_RELEASE

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mks0601/NeuralAnnot_RELEASE

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3D Pseudo-GTs of "NeuralAnnot: Neural Annotator for 3D Human Mesh Training Sets", CVPRW 2022 Oral.

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

[data]
[SMPL-X parameters]

CrowdPose

[SMPL parameters]

FFHQ

[data]
[FLAME parameters]

InstaVariety

[data]
[SMPL parameters]

InterHand2.6M

[MANO parameters]

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}  
}

3DMPPE_POSENET_RELEASE

Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

I2L-MeshNet_RELEASE

Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020

3DMPPE_ROOTNET_RELEASE

Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

V2V-PoseNet_RELEASE

Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018

TF-SimpleHumanPose

TensorFlow implementation of "Simple Baselines for Human Pose Estimation and Tracking", ECCV 2018

PoseFix_RELEASE

Official TensorFlow implementation of "PoseFix: Model-agnostic General Human Pose Refinement Network", CVPR 2019

Hand4Whole_RELEASE

Official PyTorch implementation of "Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation", CVPRW 2022 (Oral.)

Integral-Human-Pose-Regression-for-3D-Human-Pose-Estimation

PyTorch implementation of "Integral Human Pose Regression", ECCV 2018

A-Convolutional-Neural-Network-Cascade-for-Face-Detection

TensorFlow implementation of "A Convolutional Neural Network Cascade for Face Detection", CVPR 2015

IntegralAction_RELEASE

Official PyTorch implementation of "IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos", CVPRW 2021 (Oral.)

Fast-Feature-Pyramids-for-Object-Detection

undergraduate work

Accurate-Image-Super-Resolution-Using-Very-Deep-Convolutional-Networks

Filtered-Channel-Features-for-Pedestrian-Detection

undergraduate work