3D Hand Pose Estimation

62 papers with code • 5 benchmarks • 16 datasets

Libraries

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

Most implemented papers

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.

DexYCB: A Benchmark for Capturing Hand Grasping of Objects

NVlabs/dex-ycb-toolkit CVPR 2021

We introduce DexYCB, a new dataset for capturing hand grasping of objects.

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.

Dense 3D Regression for Hand Pose Estimation

melonwan/denseReg CVPR 2018

Specifically, we decompose the pose parameters into a set of per-pixel estimations, i. e., 2D heat maps, 3D heat maps and unit 3D directional vector fields.

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

Hand PointNet: 3D Hand Pose Estimation Using Point Sets

3huo/Hand-Pointnet CVPR 2018

Convolutional Neural Network (CNN) has shown promising results for 3D hand pose estimation in depth images.

3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space

masabdi/LSPS British Machine Vision Conference 2018 2018

In this paper, we propose a novel method that seeks to predict the 3d position of the hand using both synthetic and partially-labeled real data.