#Human-pose-estimation
Showing 54 of 54 repositories tagged #human-pose-estimation, ranked by stars
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Sandbox for training deep learning networks
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 collection of awesome resources in Human Pose estimation.
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
⚡️The spatial perception framework for rapidly building smart robots and spaces
This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
Keras version of Realtime Multi-Person Pose Estimation project
KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.
OpenPose's Unity Plugin for Unity users
Official code for MAMMA: Markerless Accurate Multi-person Motion Acquisition.
Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.
Training repository for OpenPose
Multi-person Human Pose Estimation with HRNet in Pytorch
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)
Estimate absolute 3D human poses from RGB images.
Distribution-Aware Coordinate Representation for Human Pose Estimation
A Python port of Google TensorFlow.js PoseNet (Real-time Human Pose Estimation)
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
Fall Detection using OpenPifPaf's Human Pose Estimation model
Code for ICCV2021 paper PARE: Part Attention Regressor for 3D Human Body Estimation
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
TensorFlow implementation of "Simple Baselines for Human Pose Estimation and Tracking", ECCV 2018
Official TensorFlow implementation of "PoseFix: Model-agnostic General Human Pose Refinement Network", CVPR 2019
Official Code for ECCV 2022 paper "AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing"
Unity's privacy-preserving human-centric synthetic data generator
ZED SDK Unity plugin
This is a DeepStream application to demonstrate a human pose estimation pipeline.
[ICCV '21] In this repository you find the code to our paper "Keypoint Communities".
Deploy Computer Vision solutions with a few lines of code.
Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera
BlazePoseBarracuda is a human 2D/3D pose estimation neural network that runs the Mediapipe Pose (BlazePose) pipeline on the Unity Barracuda with GPU.
HolisticBarracuda is the Unity Package that simultaneously estimates 33 pose, 21 per-hand, and 468 facial landmarks on the Unity Barracuda with GPU.
ZED plugin and examples for Unreal Engine 5 (Standard Engine)
We developed a method animating a statistical 3D human model for biomechanical analysis to increase accessibility for non-experts, like patients, athletes, or designers.
[ECCV 2020] Full-Body Awareness from Partial Observations
Official Code for ACM SIGGRAPH 2024 paper "Ultra Inertial Poser: Scalable Motion Capture and Tracking from Sparse Inertial Sensors and Ultra-Wideband Ranging"
EvoPose2D is a two-stage human pose estimation model that was designed using neuroevolution. It achieves state-of-the-art accuracy on COCO.
Repository for the SCA 2022 paper "Combining Motion Matching and Orientation Prediction to Animate Avatars for Consumer-Grade VR Devices"
A simple and fast GUI tool to visualize and compare the SMPL sequences and scenes in real-time.
Code for our ICCV 19 paper : Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
Towards Robust 3D Body Mesh Inference of Partially-observed Humans: semester project at ETH Zurich
moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.
Demo for "MoSculp: Interactive Visualization of Shape and Time"
Official PyTorch Implementation of "Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models", ICCV 2023 CV4Metaverse Workshop