3D Hand Pose Estimation

36 papers with code • 1 benchmarks • 13 datasets


Use these libraries to find 3D Hand Pose Estimation models and implementations
2 papers

Most implemented papers

Learning to Estimate 3D Hand Pose from Single RGB Images

lmb-freiburg/hand3d ICCV 2017

Low-cost consumer depth cameras and deep learning have enabled reasonable 3D hand pose estimation from single depth images.

V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map

mks0601/V2V-PoseNet_RELEASE CVPR 2018

To overcome these weaknesses, we firstly cast the 3D hand and human pose estimation problem from a single depth map into a voxel-to-voxel prediction that uses a 3D voxelized grid and estimates the per-voxel likelihood for each keypoint.

DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation

moberweger/deep-prior-pp 28 Aug 2017

DeepPrior is a simple approach based on Deep Learning that predicts the joint 3D locations of a hand given a depth map.

Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals

mks0601/V2V-PoseNet_RELEASE CVPR 2018

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

End-to-end Hand Mesh Recovery from a Monocular RGB Image

MandyMo/HAMR ICCV 2019

In this paper, we present a HAnd Mesh Recovery (HAMR) framework to tackle the problem of reconstructing the full 3D mesh of a human hand from a single RGB image.

3D Hand Shape and Pose Estimation from a Single RGB Image

3d-hand-shape/hand-graph-cnn CVPR 2019

This work addresses a novel and challenging problem of estimating the full 3D hand shape and pose from a single RGB image.

Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose

hongsukchoi/Pose2Mesh_RELEASE ECCV 2020

Most of the recent deep learning-based 3D human pose and mesh estimation methods regress the pose and shape parameters of human mesh models, such as SMPL and MANO, from an input image.

InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image

open-mmlab/mmpose ECCV 2020

Therefore, we firstly propose (1) a large-scale dataset, InterHand2. 6M, and (2) a baseline network, InterNet, for 3D interacting hand pose estimation from a single RGB image.

HandTailor: Towards High-Precision Monocular 3D Hand Recovery

LyuJ1998/HandTailor 18 Feb 2021

3D hand pose estimation and shape recovery are challenging tasks in computer vision.

First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations

guiggh/hand_pose_action CVPR 2018

Our dataset and experiments can be of interest to communities of 3D hand pose estimation, 6D object pose, and robotics as well as action recognition.