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"
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
Estimate absolute 3D human poses from RGB images.
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
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 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
[ICCV 2023] Official PyTorch implementation of the paper "InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion"
[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).
Real-time 3D human pose estimation, implemented by tensorflow
Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera
This repo equips the official CLIFF [ECCV 2022 Oral] with better detector, better tracker. Support multi-person, motion interpolation, motion smooth and SMPLify fitting.
3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks
3D Human Pose Visualizer for Python
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