Official implementation of "BodyMAP - Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed", CVPR 2024
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Updated
Aug 19, 2024 - Python
Official implementation of "BodyMAP - Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed", CVPR 2024
Measure the SMPL body model
Our model BUDDI learns the joint distribution of interacting people
Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022
Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera
[CVPR 2023 Highlight] Official implementation of "NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action"
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
"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.
Official Pytorch implementation for 2020 3DV paper "PLACE: Proximity Learning of Articulation and Contact in 3D Environments" and trained models
marker-less human motion capture from RGB videos
Implementation for "3D human pose, shape and texture from low-resolution images and videos", TPAMI 2021
ECCV2020 - Official code repository for the paper : Reconstructing NBA Players
NBA2K Dataset for the ECCV2020 paper : Reconstructing NBA Players
Human Pose Estimation Related Publication
Source code for HumanMeshNet: Polygonal Mesh Recovery of Humans, ICCV 2019 Workshop 3DRW
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