The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
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Updated
Aug 30, 2024 - Cuda
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
A PyTorch toolkit for 2D Human Pose Estimation.
TensorFlow implementation of "Simple Baselines for Human Pose Estimation and Tracking", ECCV 2018
Distribution-Aware Coordinate Representation for Human Pose Estimation
Official pytorch Code for CVPR2019 paper "Fast Human Pose Estimation" https://arxiv.org/abs/1811.05419
Official TensorFlow implementation of "PoseFix: Model-agnostic General Human Pose Refinement Network", CVPR 2019
DeepPose implementation on TensorFlow. Original Paper http://arxiv.org/abs/1312.4659
Chainer implementation of Pose Proposal Networks
Evaluation code for the MPII human pose dataset
A fast stacked hourglass network for human pose estimation on OpenVino
Analyzes weightlifting videos for correct posture using pose estimation with OpenCV
Simple Baselines for Human Pose Estimation and Tracking
[IJCAI 2022] Code for the paper "Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation"
2D human pose estimation with DSNT
Stacked Hourglass Network (shnet) for human pose estimation implemented in PyTorch
This model detects and tracks the pose of the human through Image as well as Video using Computer Vision.
Implementation for Human Pose Estimation using OpenCV
Adversarial Learning for Human Pose Estimation: Generative Adversarial Deep Convolutional Networks to attain Structure-awareness in Human Pose Estimation | MS Thesis
DenseBag: a State of the Art Neural Network Architecture for Eye Gaze Estimation
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