Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Mocapnet | 738 | 6 months ago | 16 | other | C++ | |||||
We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance | ||||||||||
Lifting From The Deep Release | 391 | 4 years ago | gpl-3.0 | Python | ||||||
Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image" | ||||||||||
Semgcn | 311 | 3 years ago | 26 | apache-2.0 | Python | |||||
The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019). | ||||||||||
Videoto3dposeandbvh | 257 | a year ago | 27 | other | Python | |||||
Convert video to the bvh motion file | ||||||||||
Evoskeleton | 198 | 3 years ago | 1 | mit | Python | |||||
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data" | ||||||||||
Rnn For Human Activity Recognition Using 2d Pose Input | 182 | 3 years ago | 18 | Jupyter Notebook | ||||||
Activity Recognition from 2D pose using an LSTM RNN | ||||||||||
Human Pose Estimation 101 | 181 | 5 years ago | 1 | |||||||
Basics of 2D and 3D Human Pose Estimation. | ||||||||||
Master_thesis_code | 181 | 6 years ago | 3 | mit | C++ | |||||
Code for my master thesis: Vehicle Detection and Pose Estimation for Autonomous Driving | ||||||||||
3d_pose_baseline_pytorch | 172 | 5 years ago | 14 | mit | Python | |||||
A simple baseline for 3d human pose estimation in PyTorch. | ||||||||||
Adaptivepose | 168 | 9 months ago | 8 | mit | Jupyter Notebook | |||||
This is an official implementation of our AAAI2022 paper AdaptivePose and Arxiv paper AdaptivePose++ |