(Survey) Hand-Object Pose Estimation

Hand-Object Pose Estimation

손-객체 상호작용 영상에서 손과 객체의 자세를 추정

1. HOnnotate

HOnnotate

HOnnotate, A method for 3D Annotation of Hand and Object Poses
Shreyas Hampali, Mahdi Rad, Markus Oberweger, and Vincent Lepetit

Institute for Computer Graphics and Vision, Graz University of Technology, Austria
LIGM, Ecole des Ponts, Univ Gustave Eiffel, CNRS, Marne-la-Valle, France

CVPR 2020

• paper: https://arxiv.org/abs/1907.01481
• git: https://github.com/shreyashampali/HOnnotate?
• project page: https://www.tugraz.at/institute/icg/research/team-lepetit/research-projects/hand-object-3d-pose-annotation/

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2. HOPE-Net

HOPE-Net

HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation
Bardia Doosti, Shujon Naha, Majid Mirbagheri, David J. Crandall

Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington
Institute for Learning and Brain Sciences, University of Washington

CVPR 2020

• paper: https://arxiv.org/abs/2004.00060
• git: https://github.com/bardiadoosti/HOPE
• project page: http://vision.sice.indiana.edu/projects/hopenet/

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3. Semi-Supervised 3D Hand-Object

Semi-Supervised 3D Hand-Object

Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time
Shaowei Liu, Hanwen Jiang, Jiarui Xu, Sifei Liu, Xiaolong Wang

UC San Diego, NVIDIA

CVPR 2021

• paper: https://arxiv.org/abs/2106.05266
• git: https://github.com/stevenlsw/Semi-Hand-Object
• project page: https://stevenlsw.github.io/Semi-Hand-Object/

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Hand-Object Contact

손-객체 컨텍트 정보를 추정

1. ContactDB

ContactDB

ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging
Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp and James Hays

Institute for Robotics and Intelligent Machines, Georgia Tech, Argo AI

CVPR 2019

• paper: https://arxiv.org/abs/1904.06830
• git: https://github.com/samarth-robo/contactdb_prediction
• project page: https://contactdb.cc.gatech.edu/

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2. ContactPose

ContactPose

ContactPose: A Dataset of Grasps with Object Contact and Hand Pose
Samarth Brahmbhatt, Chengcheng Tang, Christopher D. Twigg, Charles C. Kemp, and James Hays

Georgia Tech, Atlanta GA, USA, Argo AI, Facebook Reality Labs

ECCV 2020

• paper: https://arxiv.org/abs/2007.09545
• git: https://github.com/facebookresearch/ContactPose
• project page: https://contactpose.cc.gatech.edu/

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3. ContactOpt

ContactOpt

ContactOpt: Optimizing Contact to Improve Grasps
Patrick Grady, Chengcheng Tang, Christopher D. Twigg, Minh Vo, Samarth Brahmbhatt, Charles C. Kemp

Georgia Institute of Technology, Facebook Reality Labs, Intel Labs

CVPR 2021

• paper: https://arxiv.org/abs/2104.07267
• git: https://github.com/facebookresearch/ContactOpt
• project page: https://www.pgrady.net/contactopt/

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4. GraspTTA

GraspTTA

Hand-Object Contact Consistency Reasoning for Human Grasps Generation
Hanwen Jiang, Shaowei Liu, Jiashun Wang, Xiaolong Wang

UC San Diego

ICCV 2021

• paper: https://arxiv.org/abs/2104.03304
• git: https://github.com/hwjiang1510/GraspTTA
• project page: https://hwjiang1510.github.io/GraspTTA/

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5. S${}^2$Contact

S ${}^2$Contact

S2Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning
Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Ales Leonardis, Feng Zheng, and Hyung Jin Chang

University of Birmingham, UNIST, SUSTech

ECCV 2022

• paper: https://arxiv.org/pdf/2208.00874.pdf
• git: https://github.com/eldentse/s2contact
• project page: https://eldentse.github.io/s2contact/

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handpose surbey 논문조사 datasets