3d-human-mesh
There are 16 repositories under 3d-human-mesh topic.
wangzheallen/awesome-human-pose-estimation
Human Pose Estimation Related Publication
hongsukchoi/Pose2Mesh_RELEASE
Official Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020
hongsukchoi/TCMR_RELEASE
Official Pytorch implementation of "Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video", CVPR 2021
mkocabas/SPEC
Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera
hongsukchoi/3DCrowdNet_RELEASE
Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022
DavidBoja/SMPL-Anthropometry
Measure the SMPL body model
muelea/buddi
Our model BUDDI learns the joint distribution of interacting people
luyangzhu/NBA-Players
ECCV2020 - Official code repository for the paper : Reconstructing NBA Players
luyangzhu/NBA2K-dataset
NBA2K Dataset for the ECCV2020 paper : Reconstructing NBA Players
xuxy09/RSC-Net
Implementation for "3D human pose, shape and texture from low-resolution images and videos", TPAMI 2021
sanweiliti/PLACE
Official Pytorch implementation for 2020 3DV paper "PLACE: Proximity Learning of Articulation and Contact in 3D Environments" and trained models
wangkua1/nemo-cvpr2023
[CVPR 2023 Highlight] Official implementation of "NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action"
RCHI-Lab/BodyMAP
Official implementation of BodyMAP
kristijanbartol/linear-3d-humans
"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.
chaitanya100100/HumanMeshNet
Source code for HumanMeshNet: Polygonal Mesh Recovery of Humans, ICCV 2019 Workshop 3DRW
ZengJiayi549/EasyMocap
marker-less human motion capture from RGB videos