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.）

A dataset for estimation of hand pose and shape from single color images.

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

Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019

Official repository of Human3.6M 3D WholeBody (H3WB) dataset

Dataset and code for the paper "First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations", CVPR 2018.

Handy makes defining and recognizing custom hand poses in WebXR a snap!

👋 👌 research codebase for depth-based hand pose estimation using dynamics based tracking and CNNs

Real-time hand pose estimation and gesture classification using TensorRT

PyTorch implementation of V2V-PoseNet with IntegralPose/PoseFix loss

🔥(CVPR 2023) ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction

3D hand pose estimation via dense regression

Code for "Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation", Neurocomputing 2020

CrossInfoNet of CVPR 2019 for hand pose estimation

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