Browse > Computer Vision > Hand > Hand Pose Estimation

Hand Pose Estimation

22 papers with code · Computer Vision
Subtask of Hand · Pose Estimation

Hand pose estimation is the task of finding the joints of the hand from an image or set of video frames.

( Image credit: Pose-REN )

Leaderboards

Latest papers with code

A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image

ICCV 2019 zhangboshen/A2J

For 3D hand and body pose estimation task in depth image, a novel anchor-based approach termed Anchor-to-Joint regression network (A2J) with the end-to-end learning ability is proposed.

HAND POSE ESTIMATION

80
27 Aug 2019

FastV2C-HandNet: Fast Voxel to Coordinate Hand Pose Estimation with 3D Convolutional Neural Networks

15 Jul 2019RonLek/FastV2C-HandNet

In this paper, we present a novel approach to estimate 3D hand joint locations from 2D depth images.

HAND POSE ESTIMATION

2
15 Jul 2019

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

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

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

HAND POSE ESTIMATION

232
01 Jun 2019

CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation

CVPR 2019 dumyy/handpose

This paper focuses on the topic of vision based hand pose estimation from single depth map using convolutional neural network (CNN).

HAND POSE ESTIMATION

94
01 Jun 2019

Normalized Diversification

CVPR 2019 B1ueber2y/NDiv

We introduce the concept of normalized diversity which force the model to preserve the normalized pairwise distance between the sparse samples from a latent parametric distribution and their corresponding high-dimensional outputs.

CONDITIONAL IMAGE GENERATION HAND POSE ESTIMATION

6
07 Apr 2019
400
04 Dec 2018

MURAUER: Mapping Unlabeled Real Data for Label AUstERity

23 Nov 2018poier/murauer

In this work, we remove this requirement by learning to map from the features of real data to the features of synthetic data mainly using a large amount of synthetic and unlabeled real data.

HAND POSE ESTIMATION

14
23 Nov 2018

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

British Machine Vision Conference 2018 2018 masabdi/LSPS

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.

HAND POSE ESTIMATION

50
14 Jul 2018

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

British Machine Vision Conference 2018 2018 masabdi/LSPS

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.

HAND POSE ESTIMATION

50
14 Jul 2018

Learning Pose Specific Representations by Predicting Different Views

CVPR 2018 poier/PreView

To exploit this observation, we train a model that -- given input from one view -- estimates a latent representation, which is trained to be predictive for the appearance of the object when captured from another viewpoint.

HAND POSE ESTIMATION

60
10 Apr 2018