There are 16 repositories under hand-pose-estimation topic.
OpenMMLab Pose Estimation Toolbox and Benchmark.
Awesome work on hand pose estimation/tracking
Network estimating 3D Handpose from single color images
MediaPipe(Python版)を用いて手の姿勢推定を行い、検出したキーポイントを用いて、簡易なMLPでハンドサインとフィンガージェスチャーを認識するサンプルプログラムです。(Estimate hand pose using MediaPipe(Python version). This is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points.)
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
A dataset for estimation of hand pose and shape from single color images.
Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019
Dataset and code for the paper "First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations", CVPR 2018.
:wave: :ok_hand: research codebase for depth-based hand pose estimation using dynamics based tracking and CNNs
Official repository of Human3.6M 3D WholeBody (H3WB) dataset
PyTorch implementation of V2V-PoseNet with IntegralPose/PoseFix loss
Real-time hand pose estimation and gesture classification using TensorRT
Code for "Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation", Neurocomputing 2020
🔥(CVPR 2023) ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction
Code for paper <AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation>. Accepted by AAAI 2020.
Repository for Region Ensemble Network based Hand Pose Estimation
Official code and data for HDR ( ECCV 2022)
A hand motion capture from a single color camera + Unity + a virtual webcam
Official PyTorch implementation of TriHorn-Net
Bottom-up whole-body pose estimation method in constant time.
Hand detection using OpenCV
Custom pipeline for 2D Hand Pose Estimation from RGB Image
Real-Time Neural 3D Hand Pose Estimation from an Event Stream [ICCV 2021]
👋 Use your hands as input modes for apps (both 2D and 3D!) without additional hardware
PyTorch release for paper "Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable Decoder"
A single-shot learning-based approach to hand and object pose estimation, made available on a head-mounted display.