Human Pose Estimation Related Publication

Official Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020

Official Pytorch implementation of "Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video", CVPR 2021

Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera

[NeurIPS 2024] Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation

Measure the SMPL body model

Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022

Our model BUDDI learns the joint distribution of interacting people

ECCV2020 - Official code repository for the paper : Reconstructing NBA Players

NBA2K Dataset for the ECCV2020 paper : Reconstructing NBA Players

The Fast Way From Vertices to Parametric 3D Humans

Implementation for "3D human pose, shape and texture from low-resolution images and videos", TPAMI 2021

Official Pytorch implementation for 2020 3DV paper "PLACE: Proximity Learning of Articulation and Contact in 3D Environments" and trained models

[CVPR 2023 Highlight] Official implementation of "NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action"

Official implementation of "BodyMAP - Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed", CVPR 2024

"Linear Regression vs. Deep Learning". The source code for a simple but effective baseline method for human body measurement estimation using only height and weight information about the person.

Source code for HumanMeshNet: Polygonal Mesh Recovery of Humans, ICCV 2019 Workshop 3DRW

This project was born out of a passion for computer vision and 3D human modeling. It explores the power of SMPLX for body shape representation and demonstrates its application in generating realistic 3D avatars from simple measurements.

Compress a stream of nonparametric 3D human mesh estimates

marker-less human motion capture from RGB videos