Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
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Updated
Mar 24, 2023 - Python
Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
A collection of awesome resources in Human Pose estimation.
Human Pose Estimation Related Publication
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
Official Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020
Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.
[ICCV 2021, Oral] PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
Estimate absolute 3D human poses from RGB images.
Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"
Code for "Human Pose Regression with Residual Log-likelihood Estimation", ICCV 2021 Oral
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
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
Official repository of Human3.6M 3D WholeBody (H3WB) dataset
Real-time 3D human pose estimation, implemented by tensorflow
[ECCV-20] 3D human scene interaction dataset: https://people.eecs.berkeley.edu/~zhecao/hmp/index.html
This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).
[ICCV 2023] Official PyTorch implementation of the paper "InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion"
Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera
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