Summary：Awesome Work on Hand Pose Estimation
作者：xinghaochen
来源GitHub：https://github.com/xinghaochen/awesome-hand-pose-estimation

Awesome Work on Hand Pose Estimation

如题，这是一个非常全面的手势估计开源项目，包含arxiv、期刊和近几年顶会相关论文，数据集、相关工作等，近期正在更新CVPR2019相关论文，欢迎持续关注：Awesome Work on Hand Pose Estimation
结果评估页面：https://github.com/xinghaochen/awesome-hand-pose-estimation/blob/master/evaluation/README.md

本文篇幅较长，建议收藏阅读，全文目录如下：


Table of Contents

• Evaluation
• arXiv Papers
• Journal Papers
  • TPAMI / IJCV
  • Others
• Conference Papers
  • 2019: CVPR, Others
  • 2018: CVPR, ECCV, Others
  • 2017: CVPR, ICCV, Others
  • 2016: CVPR, ECCV, Others
  • 2015: CVPR, ICCV, Others
  • 2014: CVPR, Others & Before
• Theses
• Datasets
• Workshops
• Challenges
• Other Related Papers

Evaluation

See folder evaluation to get more details about performance evaluation for hand pose estimation.

arXiv Papers

arXiv Papers上的优秀论文。

Journal Papers

包括TPAMI 和 IJCV等著名期刊14~19年刊登的论文。

Conference Papers

包括CVPR、ICCV、ECCV等顶级会议收录论文，CVPR2019论文仍在更新中。

2019 CVPR

3D Hand Shape and Pose from Images in the Wild. [PDF] [Code]
Adnane Boukhayma, Rodrigo de Bem, Philip H.S. Torr

Pushing the envelope for RGB-based dense 3D hand pose estimation via neural rendering. [PDF]
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim

Monocular Total Capture: Posing Face, Body, and Hands in the Wild. [PDF] [Project Page]
Donglai Xiang, Hanbyul Joo, Yaser Sheikh

2019 Others

[2019 WACV] MURAUER: Mapping Unlabeled Real Data for Label AUstERity. [PDF] [Project Page] [Code]
Georg Poier, Michael Opitz, David Schinagl and Horst Bischof

Theses

Datasets

手势估计相关数据集列表。

• S/R: Synthetic (S) or Real (R) or Both (B)
• C/D: Color (RGB) or Depth (D)
• Obj: Interaction with objects or not

• J: No. of joints

• V: view (3rd or egocentric)

• S: No. of subjects

• F: No. of frames (train/test)

Workshops

[1] Workshops on Observing and Understanding Hands in Action:

HANDS 2018, In conjunction with ECCV 2018

• HANDS18: Methods, Techniques and Applications for Hand Observation. [PDF]

HANDS 2017, In conjunction with ICCV 2017

• Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals. [PDF]

HANDS 2016, In conjunction with CVPR 2016
HANDS 2015, In conjunction with CVPR 2015

[2] Workshops on Capturing and modeling human bodies, faces and hands:

PeopleCap 2018, In conjunction with ECCV 2018
PeopleCap 2017, In conjunction with ICCV 2017

Challenges

Other Related Papers

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