Trending repositories for topic human-pose-estimation
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.
Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
This is the official implementation of the work presented at CVPR 2024, titled Multiple View Geometry Transformers for 3D Human Pose Estimation (MVGFormer).
[CVPR 2023] The official implementation of CVPR 2023 paper "Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes"
The project is an official implementation of our paper "PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation".
Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
This is the official implementation of the work presented at CVPR 2024, titled Multiple View Geometry Transformers for 3D Human Pose Estimation (MVGFormer).
[CVPR 2023] The official implementation of CVPR 2023 paper "Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes"
The project is an official implementation of our paper "PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation".
Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.
Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
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.
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
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
⚡️The spatial perception framework for rapidly building smart robots and spaces
Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
[CVPR 2024] TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
CVPR 2022 - Official code repository for the paper: Accurate 3D Body Shape Regression using Metric and Semantic Attributes.
[CVPR 2023] Official implementation of the paper "One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer"
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
This is the official implementation of the work presented at CVPR 2024, titled Multiple View Geometry Transformers for 3D Human Pose Estimation (MVGFormer).
3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks
[CVPR 2023] The official implementation of CVPR 2023 paper "Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes"
The project is an official implementation of our paper "PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation".
This is the official implementation of the work presented at CVPR 2024, titled Multiple View Geometry Transformers for 3D Human Pose Estimation (MVGFormer).
[CVPR 2024] TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
⚡️The spatial perception framework for rapidly building smart robots and spaces
CVPR 2022 - Official code repository for the paper: Accurate 3D Body Shape Regression using Metric and Semantic Attributes.
3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks
[CVPR 2023] The official implementation of CVPR 2023 paper "Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes"
The project is an official implementation of our paper "PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation".
Official repository of Human3.6M 3D WholeBody (H3WB) dataset
[CVPR 2023] Official implementation of the paper "One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer"
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
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.
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
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
⚡️The spatial perception framework for rapidly building smart robots and spaces
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
CVPR 2022 - Official code repository for the paper: Accurate 3D Body Shape Regression using Metric and Semantic Attributes.
[ECCV 2022] Official implementation of the paper "SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos"
This is an official implementation of our CVPR 2021 paper "Deep Dual Consecutive Network for Human Pose Estimation" (https://openaccess.thecvf.com/content/CVPR2021/papers/Liu_Deep_Dual_Consecutive_Net...
[CVPR 2023] Official implementation of the paper "One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer"
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
A collection of awesome resources in Human Pose estimation.
[CVPR 2024] TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
Official code for "SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation"
[ICCV, 2023] Multiple humans in 3D captured by dynamic and static cameras in 4K.
This is the official implementation of the work presented at CVPR 2024, titled Multiple View Geometry Transformers for 3D Human Pose Estimation (MVGFormer).
W-HMR: Monocular Human Mesh Recovery in World Space with Weak-Supervised Calibration
Official Code for ACM SIGGRAPH 2024 paper "Ultra Inertial Poser: Scalable Motion Capture and Tracking from Sparse Inertial Sensors and Ultra-Wideband Ranging"
Repository for the SCA 2022 paper "Combining Motion Matching and Orientation Prediction to Animate Avatars for Consumer-Grade VR Devices"
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
A simple and fast GUI tool to visualize and compare the SMPL sequences and scenes in real-time.
[CVPR 2024] TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
[3DV 2022] Pytorch implementation for 3D Event-based Human Pose Estimation
CVPR 2022 - Official code repository for the paper: Accurate 3D Body Shape Regression using Metric and Semantic Attributes.
Official Code for ACM Transactions on Graphics (TOG) paper "SparsePoser: Real-time Full-body Motion Reconstruction from Sparse Data"
SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark
[ECCV 2022] Official implementation of the paper "SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos"
This repo equips the official CLIFF [ECCV 2022 Oral] with better detector, better tracker. Support multi-person, motion interpolation, motion smooth and SMPLify fitting.
Python implementation accompanying the Transformer Inertial Poser paper at SIGGRAPH Asia 2022
Developing a virtual personal fitness tracker and exercise activity recognition A.I. using computer vision and deep learning.
This is an official implementation of our CVPR 2021 paper "Deep Dual Consecutive Network for Human Pose Estimation" (https://openaccess.thecvf.com/content/CVPR2021/papers/Liu_Deep_Dual_Consecutive_Net...
[CVPR 2024] TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
Official Code for ACM SIGGRAPH 2024 paper "Ultra Inertial Poser: Scalable Motion Capture and Tracking from Sparse Inertial Sensors and Ultra-Wideband Ranging"
W-HMR: Monocular Human Mesh Recovery in World Space with Weak-Supervised Calibration
Official code for "SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation"
3D Pose Estimation of Two Interacting Hands from a Monocular Event Camera [3DV'24]
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
[CVPR 2024] TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
[CVPR 2023] Official implementation of the paper "One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer"
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
⚡️The spatial perception framework for rapidly building smart robots and spaces
Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
The project is an official implementation of our paper "PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation".
GUI for visualization and interactive editing of SMPL-family body models ie. SMPL, SMPL-X, MANO, FLAME.
[ECCV 2022] Official implementation of the paper "SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos"
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
[CVPR 2024] TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
3D Pose Estimation of Two Interacting Hands from a Monocular Event Camera [3DV'24]
Probabilistic triangulation module applied to uncalibrated human pose estimation
Official Code for ACM Transactions on Graphics (TOG) paper "SparsePoser: Real-time Full-body Motion Reconstruction from Sparse Data"
[WACV2024] Official PyTorch implimentation for ``Active Transfer Learning for Efficient Video-Specific Human Pose Estimation''
Efficient violence detection in surveillance videos using Human Skeletons and Motion Estimation
SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark
visualization:filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro
Developing a virtual personal fitness tracker and exercise activity recognition A.I. using computer vision and deep learning.
[ICCV, 2023] Multiple humans in 3D captured by dynamic and static cameras in 4K.
The project is an official implementation of our paper "PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation".
[ICCV 2023] Realistic Full-Body Tracking from Sparse Observations via Joint-Level Modeling
A simple and fast GUI tool to visualize and compare the SMPL sequences and scenes in real-time.
Code for our SIGGRAPH ASIA 2023 paper "Fusing Monocular Images and Sparse IMU Signals for Real-time Human Motion Capture".