Statistics for topic human-pose-estimation
RepositoryStats tracks 518,986 Github repositories, of these 138 are tagged with the human-pose-estimation topic. The most common primary language for repositories using this topic is Python (101).
Stargazers over time for topic human-pose-estimation
Most starred repositories for topic human-pose-estimation (view more)
Trending repositories for topic human-pose-estimation (view more)
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.
[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)"
Official implementation of NeurIPS 2022 paper: "Embodied Scene-aware Human Pose Estimation".
[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"
Official repository of Human3.6M 3D WholeBody (H3WB) dataset
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
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 implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
Official Code for ACM SIGGRAPH 2024 paper "Ultra Inertial Poser: Scalable Motion Capture and Tracking from Sparse Inertial Sensors and Ultra-Wideband Ranging"
[CVPR 2024] TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
Developing a virtual personal fitness tracker and exercise activity recognition A.I. using computer vision and deep learning.
Official Code for ACM SIGGRAPH 2024 paper "Ultra Inertial Poser: Scalable Motion Capture and Tracking from Sparse Inertial Sensors and Ultra-Wideband Ranging"
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.
[CVPR 2024] TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
[CVPR 2024] TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
[WACV2024] Official PyTorch implimentation for ``Active Transfer Learning for Efficient Video-Specific Human Pose Estimation''
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
[CVPR 2024] TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark
[ICCV 2023] Realistic Full-Body Tracking from Sparse Observations via Joint-Level Modeling
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 2023] Official implementation of the paper "One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer"
Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models
SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark
Unity's Privacy-Preserving Novel Human Body Model Trained Solely on Synthetic Data and Corresponding Dense Anthropometric Measurements