{"id":6285,"url":"https://github.com/xinghaochen/awesome-hand-pose-estimation","name":"awesome-hand-pose-estimation","description":"Awesome work on hand pose estimation/tracking","projects_count":497,"last_synced_at":"2026-09-23T06:00:33.110Z","repository":{"id":37785802,"uuid":"85847327","full_name":"xinghaochen/awesome-hand-pose-estimation","owner":"xinghaochen","description":"Awesome work on hand pose estimation/tracking","archived":false,"fork":false,"pushed_at":"2026-06-28T14:22:34.000Z","size":409668,"stargazers_count":3390,"open_issues_count":6,"forks_count":532,"subscribers_count":174,"default_branch":"master","last_synced_at":"2026-09-03T09:06:52.575Z","etag":null,"topics":["3d-hand","computer-vision","deep-learning","hand-articulations","hand-keypoints","hand-mesh","hand-pose","hand-pose-estimation","hand-pose-regression","hand-shape","hand-tracking","human-computer-interaction","keypoints"],"latest_commit_sha":null,"homepage":"https://xinghaochen.github.io/awesome-hand-pose-estimation/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/xinghaochen.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"contributing.md","funding":null,"license":null,"code_of_conduct":"code-of-conduct.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-03-22T15:52:31.000Z","updated_at":"2026-09-03T06:30:20.000Z","dependencies_parsed_at":"2023-01-30T23:16:08.918Z","dependency_job_id":"3325c849-6e66-4e99-9213-1cd311072eea","html_url":"https://github.com/xinghaochen/awesome-hand-pose-estimation","commit_stats":{"total_commits":410,"total_committers":39,"mean_commits":"10.512820512820513","dds":0.1707317073170732,"last_synced_commit":"0288f8bf2903064ac7089f8d0cf9ea6bb52a7861"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/xinghaochen/awesome-hand-pose-estimation","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xinghaochen%2Fawesome-hand-pose-estimation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xinghaochen%2Fawesome-hand-pose-estimation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xinghaochen%2Fawesome-hand-pose-estimation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xinghaochen%2Fawesome-hand-pose-estimation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/xinghaochen","download_url":"https://codeload.github.com/xinghaochen/awesome-hand-pose-estimation/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xinghaochen%2Fawesome-hand-pose-estimation/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":341189360,"owners_count":37608266,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-08-22T15:14:58.755Z","status":"online","status_checked_at":"2026-09-23T02:00:07.637Z","response_time":54,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"created_at":"2024-01-07T05:34:33.920Z","updated_at":"2026-09-23T06:00:33.111Z","primary_language":null,"list_of_lists":false,"displayable":true,"categories":["License","Conference Papers","arXiv Papers","Other Related Papers","Datasets","Journal Papers","Challenges","Theses","Workshops"],"sub_categories":["RGB","2023 ICCV","2019 ICCV","2022 ECCV","2020 Others","2021 CVPR","2022 CVPR","2020 CVPR","2018 CVPR","2020 ECCV","Depth","RGB+Depth","TPAMI / IJCV","Other Journals","2019 Others","2018 ECCV","2018 Others","2017 ICCV","2017 CVPR","2017 Others","2016 ECCV","2016 CVPR","2016 Others","2015 ICCV","2015 CVPR","2015 Others","2014 CVPR","2014 Others \u0026 Before","2023 CVPR","2023 Others","2022 Others","2021 ICCV","2021 Others","2019 CVPR","2024 CVPR","2025 Others","2024 ECCV"],"readme":"# Awesome Hand Pose Estimation\r\n\r\nA curated list of related resources for hand pose estimation. Feel free to [contribute](#Contribute)!\r\n\r\n## Contents\r\n\r\n- [Evaluation](#evaluation)\r\n- [arXiv Papers](#arxiv-papers)\r\n- [Journal Papers](#journal-papers)\r\n  - [TPAMI / IJCV](#tpami--ijcv)\r\n  - [Others](#other-journals)\r\n- [Conference Papers](#conference-papers)\r\n  - 2025: [Others](#2025-others)\r\n  - 2024: [CVPR](#2024-cvpr), [ECCV](#2024-eccv), [Others](#2024-others)\r\n  - 2023: [CVPR](#2023-cvpr), [ICCV](#2023-iccv), [Others](#2023-others)\r\n  - 2022: [CVPR](#2022-cvpr), [ECCV](#2022-eccv), [Others](#2022-others)\r\n  - 2021: [CVPR](#2021-cvpr), [ICCV](#2021-iccv), [Others](#2021-others)\r\n  - 2020: [CVPR](#2020-cvpr), [ECCV](#2020-eccv), [Others](#2020-others)\r\n  - 2019: [CVPR](#2019-cvpr), [ICCV](#2019-iccv), [Others](#2019-others)\r\n  - 2018: [CVPR](#2018-cvpr), [ECCV](#2018-eccv), [Others](#2018-others)\r\n  - 2017: [CVPR](#2017-cvpr), [ICCV](#2017-iccv), [Others](#2017-others)\r\n  - 2016: [CVPR](#2016-cvpr), [ECCV](#2016-eccv), [Others](#2016-others)\r\n  - 2015: [CVPR](#2015-cvpr), [ICCV](#2015-iccv), [Others](#2015-others)\r\n  - 2014: [CVPR](#2014-cvpr), [Others \u0026 Before](#2014-others--before)\r\n- [Theses](#theses)\r\n- [Datasets](#datasets)\r\n  - [Depth](#depth)\r\n  - [RGB+Depth](#rgbdepth)\r\n  - [RGB](#rgb)\r\n- [Workshops](#workshops)\r\n- [Challenges](#challenges)\r\n- [Other Related Papers](#other-related-papers)\r\n\r\n\\* indicates equal contribution\r\n\r\n## Evaluation\r\n\r\nSee folder [``evaluation``](./evaluation) to get more details about performance evaluation for hand pose estimation.\r\n\r\n## arXiv Papers\r\n\r\n##### • [\\[arXiv:2206.04927\\]](https://arxiv.org/abs/2303.15147) Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training.  [\\[PDF\\]](https://arxiv.org/abs/2303.15147)\r\n\r\n_Mohammad Rezaei, Farnaz Farahanipad, Alex Dillhoff, Vassilis Athitsos_\r\n\r\n##### • [\\[arXiv:2206.04927\\]](https://arxiv.org/abs/2206.04927) Ego2HandsPose: A Dataset for Egocentric Two-hand 3D Global Pose Estimation.  [\\[PDF\\]](https://arxiv.org/abs/2206.04927)\r\n\r\n_Fanqing Lin, Tony Martinez_\r\n\r\n##### • [\\[arXiv:2206.07117\\]](https://arxiv.org/abs/2206.07117) TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation.  [\\[PDF\\]](https://arxiv.org/abs/2206.07117)  [\\[Code\\]](https://github.com/mrezaei92/TriHorn-Net)\r\n\r\n_Mohammad Rezaei, Razieh Rastgoo, Vassilis Athitsos_\r\n\r\n##### • [\\[arXiv:2202.04533\\]](https://arxiv.org/abs/2202.04533) NIMBLE: A Non-rigid Hand Model with Bones and Muscles.  [\\[PDF\\]](https://arxiv.org/pdf/2202.04533)\r\n\r\n_Yuwei Li, Longwen Zhang, Zesong Qiu, Yingwenqi Jiang, Yuyao Zhang, Nianyi Li, Yuexin Ma, Lan Xu, Jingyi Yu_\r\n\r\n##### • [\\[arXiv:2201.09548\\]](https://arxiv.org/abs/2201.09548) Consistent 3D Hand Reconstruction in Video via self-supervised Learning.  [\\[PDF\\]](https://arxiv.org/pdf/2201.09548)\r\n\r\n_Zhigang Tu, Zhisheng Huang, Yujin Chen, Di Kang, Linchao Bao, Bisheng Yang, Junsong Yuan_\r\n\r\n##### • [\\[arXiv:2111.06500\\]](https://arxiv.org/abs/2111.06500) Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. [\\[PDF\\]](https://arxiv.org/pdf/2111.06500)\r\n\r\n_John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak_\r\n\r\n##### • [\\[arXiv:2109.14744\\]](https://arxiv.org/abs/2109.14744) The Object at Hand: Automated Editing for Mixed Reality Video Guidance from Hand-Object Interactions. [\\[PDF\\]](https://arxiv.org/pdf/2109.14744)\r\n\r\n_Yao Lu, Walterio W. Mayol-Cuevas_\r\n\r\n##### • [\\[arXiv:2109.14657\\]](https://arxiv.org/abs/2109.14657) Understanding Egocentric Hand-Object Interactions from Hand Pose Estimation. [\\[PDF\\]](https://arxiv.org/pdf/2109.14657)\r\n\r\n_Yao Lu, Walterio W. Mayol-Cuevas_\r\n\r\n##### • [\\[arXiv:2109.11747\\]](https://arxiv.org/abs/2109.11747) A Multi-View Video-Based 3D Hand Pose Estimation. [\\[PDF\\]](https://arxiv.org/pdf/2109.11747)\r\n\r\n_Leyla Khaleghi, Alireza Sepas Moghaddam, Joshua Marshall, Ali Etemad_\r\n\r\n##### • [\\[arXiv:2108.13995\\]](https://arxiv.org/abs/2108.13995) Realistic Hands: A Hybrid Model for 3D Hand Reconstruction. [\\[PDF\\]](https://arxiv.org/pdf/2108.13995) [\\[Project\\]](https://hassony2.github.io/homan.html)\r\n\r\n_Michael Seeber, Martin R. Oswald, Roi Poranne_\r\n\r\n##### • [\\[arXiv:2108.07044\\]](https://arxiv.org/abs/2108.07044) Towards unconstrained joint hand-object reconstruction from RGB videos. [\\[PDF\\]](https://arxiv.org/pdf/2108.07044) [\\[Project\\]](https://hassony2.github.io/homan.html)  [\\[Code\\]](https://github.com/hassony2/homan)\r\n\r\n_Yana Hasson, Gül Varol, Ivan Laptev, Cordelia Schmid_\r\n\r\n##### • [\\[arXiv:2107.00887\\]](https://arxiv.org/abs/2107.00887) HO-3D_v3: Improving the Accuracy of Hand-Object Annotations of the HO-3D Dataset. [\\[PDF\\]](https://arxiv.org/abs/2107.00887)\r\n\r\n_Shreyas Hampali, Sayan Deb Sarkar, Vincent Lepetit_\r\n\r\n##### • [\\[arXiv:2106.05954\\]](https://arxiv.org/abs/2106.05954) Adversarial Motion Modelling helps Semi-supervised Hand Pose Estimation. [\\[PDF\\]](https://arxiv.org/pdf/2106.05954)\r\n\r\n_Adrian Spurr, Pavlo Molchanov, Umar Iqbal, Jan Kautz, Otmar Hilliges_\r\n\r\n##### • [\\[arXiv:2106.04324\\]](https://arxiv.org/abs/2106.04324) Contrastive Representation Learning for Hand Shape Estimation. [\\[PDF\\]](https://arxiv.org/pdf/2106.04324)  [\\[Project\\]](https://lmb.informatik.uni-freiburg.de/projects/contra-hand/)  [\\[Code\\]](https://github.com/lmb-freiburg/contra-hand)  [\\[Data\\]](https://lmb.informatik.uni-freiburg.de/resources/datasets/HanCo.en.html)\r\n\r\n_Christian Zimmermann, Max Argus, Thomas Brox_\r\n\r\n##### • [\\[arXiv:2104.14639\\]](https://arxiv.org/abs/2104.14639) HandsFormer: Keypoint Transformer for Monocular 3D Pose Estimation ofHands and Object in Interaction. [\\[PDF\\]](https://arxiv.org/pdf/2104.14639)\r\n\r\n_Shreyas Hampali, Sayan Deb Sarkar, Mahdi Rad, Vincent Lepetit_\r\n\r\n##### • [\\[arXiv:2102.07067\\]](https://arxiv.org/abs/2102.07067) FastHand: Fast Hand Pose Estimation From A Monocular Camera. [\\[PDF\\]](https://arxiv.org/pdf/2102.07067)\r\n\r\n_Shan An, Xiajie Zhang, Dong Wei, Haogang Zhu, Jianyu Yang, Konstantinos A. Tsintotas_\r\n\r\n##### • [\\[arXiv:2012.11260\\]](https://arxiv.org/abs/2012.11260) Unsupervised Domain Adaptation with Temporal-Consistent Self-Training for 3D Hand-Object Joint Reconstruction. [\\[PDF\\]](https://arxiv.org/pdf/2012.11260.pdf)\r\n\r\n_Mengshi Qi, Edoardo Remelli, Mathieu Salzmann, Pascal Fua_\r\n\r\n##### • [\\[arXiv:2008.08324\\]](https://arxiv.org/abs/2008.08324) FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration. [\\[PDF\\]](https://arxiv.org/pdf/2008.08324.pdf)  [\\[Project\\]](https://penincillin.github.io/frank_mocap)\r\n\r\n_Yu Rong, Takaaki Shiratori, Hanbyul Joo_\r\n\r\n##### • [\\[arXiv:2006.05927\\]](https://arxiv.org/abs/2006.05927) Recent Advances in 3D Object and Hand Pose Estimation. [\\[PDF\\]](https://arxiv.org/pdf/2006.05927.pdf)\r\n\r\n_Vincent Lepetit_\r\n\r\n##### • [\\[arXiv:2001.08047\\]](https://arxiv.org/abs/2001.08047) Attention! A Lightweight 2D Hand Pose Estimation Approach. [\\[PDF\\]](https://arxiv.org/pdf/2001.08047.pdf)\r\n\r\n_Nicholas Santavas, Ioannis Kansizoglou, Loukas Bampis, Evangelos Karakasis, Antonios Gasteratos_\r\n\r\n##### • [\\[arXiv:2001.00702\\]](https://arxiv.org/abs/2001.00702) HandAugment: A Simple Data Augmentation Method for Depth-Based 3D Hand Pose Estimation. [\\[PDF\\]](https://arxiv.org/pdf/2001.00702.pdf) [\\[Code\\]](https://github.com/wozhangzhaohui/HandAugment)\r\n\r\n_Zhaohui Zhang, Shipeng Xie, Mingxiu Chen, Haichao Zhu_\r\n\r\n##### • [\\[arXiv:1912.12436\\]](https://arxiv.org/abs/1912.12436) Silhouette-Net: 3D Hand Pose Estimation from Silhouettes. [\\[PDF\\]](https://arxiv.org/pdf/1912.12436.pdf)\r\n\r\n_Kuo-Wei Lee, Shih-Hung Liu, Hwann-Tzong Chen, Koichi Ito_\r\n\r\n##### • [\\[arXiv:1911.12501\\]](https://arxiv.org/abs/1911.12501) An End-to-end Framework for Unconstrained Monocular 3D Hand Pose Estimation. [\\[PDF\\]](https://arxiv.org/pdf/1911.12501.pdf)\r\n\r\n_Sanjeev Sharma, Shaoli Huang, Dacheng Tao_\r\n\r\n##### • [\\[arXiv:1912.01875\\]](https://arxiv.org/abs/1912.01875) GraphPoseGAN: 3D Hand Pose Estimation from a Monocular RGB Image via Adversarial Learning on Graphs. [\\[PDF\\]](https://arxiv.org/pdf/1912.01875.pdf)\r\n\r\n_Yiming He, Wei Hu, Siyuan Yang, Xiaochao Qu, Pengfei Wan, Zongming Guo_\r\n\r\n##### • [\\[arXiv:1911.07424\\]](https://arxiv.org/abs/1911.07424) Capturing Hand Articulations using Recurrent Neural Network for 3D Hand Pose Estimation. [\\[PDF\\]](https://arxiv.org/pdf/1911.07424.pdf)\r\n\r\n_Cheol-hwan Yoo, Seung-wook Kim, Seo-won Ji, Yong-goo Shin, Sung-jea Ko_\r\n\r\n##### • [\\[arXiv:1807.00898\\]](https://arxiv.org/abs/1807.00898) Model-based Hand Pose Estimation for Generalized Hand Shape with Appearance Normalization. [\\[PDF\\]](https://arxiv.org/pdf/1807.00898.pdf)\r\n\r\n_Jan Wöhlke, Shile Li, Dongheui Lee_\r\n\r\n##### • [\\[arXiv:1705.09606\\]](https://arxiv.org/abs/1705.09606) End-to-end Global to Local CNN Learning for Hand Pose Recovery in Depth data. [\\[PDF\\]](https://arxiv.org/pdf/1705.09606.pdf)\r\n\r\n_Meysam Madadi, Sergio Escalera, Xavier Baro, Jordi Gonzalez_\r\n\r\n##### • [\\[arXiv:1704.02224\\]](https://arxiv.org/abs/1704.02224) Hand3D: Hand Pose Estimation using 3D Neural Network. [\\[PDF\\]](https://arxiv.org/pdf/1704.02224.pdf)  [\\[Project\\]](http://www.idengxm.com/hand3d/index.html)\r\n\r\n_Xiaoming Deng\\*, Shuo Yang\\*, Yinda Zhang\\*, Ping Tan, Liang Chang, Hongan Wang_\r\n\r\n##### • [\\[arXiv:1612.00596\\]](https://arxiv.org/abs/1612.00596) Learning to Search on Manifolds for 3D Pose Estimation of Articulated Objects. [\\[PDF\\]](https://arxiv.org/pdf/1612.00596.pdf)\r\n\r\n*Yu Zhang, Chi Xu, Li Cheng*\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n## Journal Papers\r\n\r\n### TPAMI / IJCV\r\n\r\n##### • \\[2024 TPAMI\\] EvHandPose: Event-Based 3D Hand Pose Estimation With Sparse Supervision. [\\[PDF\\]](https://ieeexplore.ieee.org/document/10478195/)\r\n\r\n_Jianping Jiang, Jiahe Li, Baowen Zhang, Xiaoming Deng, Boxin Shi_\r\n\r\n##### • \\[2024 TPAMI\\] Learning a Contact Potential Field for Modeling the Hand-Object Interaction. [\\[PDF\\]](https://ieeexplore.ieee.org/document/10478277/)\r\n\r\n_Lixin Yang, Xinyu Zhan, Kailin Li, Wenqiang Xu, Junming Zhang, Jiefeng Li, Cewu Lu_\r\n\r\n##### • \\[2023 TPAMI\\] Consistent 3D Hand Reconstruction in Video via self-supervised Learning. [\\[PDF\\]](https://arxiv.org/pdf/2201.09548)\r\n\r\n_Zhigang Tu, Zhisheng Huang, Yujin Chen, Di Kang, Linchao Bao, Bisheng Yang, Junsong Yuan_\r\n\r\n##### • \\[2022 TPAMI\\] Recurrent 3D Hand Pose Estimation Using Cascaded Pose-guided 3D Alignments. [\\[PDF\\]](https://ieeexplore.ieee.org/document/9736619/)\r\n\r\n_Xiaoming Deng, Dexin Zuo, Yinda Zhang, Zhaopeng Cui, Jian Cheng, Ping Tan, Liang Chang, Marc Pollefeys, Sean Fanello, Hongan Wang_\r\n\r\n##### • \\[2021 TPAMI\\] HandVoxNet++: 3D Hand Shape and Pose Estimation using Voxel-Based Neural Networks. [\\[PDF\\]](https://arxiv.org/abs/2107.01205)\r\n\r\n_Jameel Malik, Soshi Shimada, Ahmed Elhayek, Sk Aziz Ali, Christian Theobalt, Vladislav Golyanik, Didier Stricker_\r\n\r\n##### • \\[2020 TPAMI\\] 3D Hand Pose Estimation Using Synthetic Data and Weakly Labeled RGB Images. [\\[PDF\\]](https://ieeexplore.ieee.org/document/9091090)\r\n\r\n_Yujun Cai, Liuhao Ge, Jianfei Cai, Nadia Magnenat-Thalmann, Junsong Yuan_\r\n\r\n##### • \\[2019 TPAMI\\] Generalized Feedback Loop for Joint Hand-Object Pose Estimation. [\\[PDF\\]](https://arxiv.org/pdf/1903.10883) [\\[Project\\]](https://www.tugraz.at/institute/icg/research/team-lepetit/research-projects/joint-3d-hand-object-pose-estimation/)\r\n\r\n_Markus Oberweger, Paul Wohlhart, Vincent Lepetit_\r\n\r\n##### • \\[2019 TPAMI\\] Feature Boosting Network For 3D Pose Estimation. [\\[PDF\\]](https://ieeexplore.ieee.org/document/8621059)\r\n\r\n_Jun Liu, Henghui Ding, Amir Shahroudy, Ling-Yu Duan, Xudong Jiang, Gang Wang, Alex C. Kot_\r\n\r\n##### • \\[2018 TPAMI\\] Opening the Black Box: Hierarchical Sampling Optimization for Hand Pose Estimation. [\\[PDF\\]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\u0026arnumber=8386667)\r\n\r\n_Danhang Tang\\*, Qi Ye\\*, Shanxin Yuan, Jonathan Taylor, Pushmeet Kohli, Cem Keskin, Tae-Kyun Kim, Jamie Shotton_\r\n\r\n##### • \\[2018 IJCV\\] Depth-Based Hand Pose Estimation: Methods, Data, and Challenges. [\\[PDF\\]](https://link.springer.com/content/pdf/10.1007%2Fs11263-018-1081-7.pdf)  [\\[Project\\]](http://arrummzen.net/#HandData) [\\[Code\\]](https://github.com/jsupancic/deep_hand_pose)\r\n\r\n*James Steven Supančič III, Grégory Rogez, Yi Yang, Jamie Shotton, Deva Ramanan*\r\n\r\n##### • \\[2018 TPAMI\\] Real-time 3D Hand Pose Estimation with 3D Convolutional Neural Networks. [\\[PDF\\]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\u0026arnumber=8338122)\r\n\r\n_Liuhao Ge, Hui Liang, Junsong Yuan and Daniel Thalmann_\r\n\r\n##### • \\[2016 IJCV\\] Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups. [\\[PDF\\]](https://arxiv.org/pdf/1609.03773.pdf) [\\[Project\\]](https://web.bii.a-star.edu.sg/archive/machine_learning/Projects/behaviorAnalysis/Lie-X/Lie-X.html)\r\n\r\n*Chi Xu, Lakshmi Narasimhan Govindarajan, Yu Zhang, Li Cheng*\r\n\r\n##### • \\[2016 TPAMI\\] Latent Regression Forest: Structured Estimation of 3D Hand Poses. [\\[PDF\\]](http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7539555)\r\n\r\n*Danhang Tang, Hyung Chang, Alykhan Tejani, Tae-Kyun Kim*\r\n\r\n##### • \\[2016 IJCV\\] Capturing Hands in Action using Discriminative Salient Points and Physics Simulation. [\\[PDF\\]](http://files.is.tue.mpg.de/dtzionas/Hand-Object-Capture/IJCV_Hand_Object_Capture.pdf) [\\[Project\\]](http://files.is.tue.mpg.de/dtzionas/Hand-Object-Capture/)\r\n\r\n*Dimitrios Tzionas, Luca Ballan, Abhilash Srikantha, Pablo Aponte, Marc Pollefeys, Juergen Gall*\r\n\r\n##### • \\[2015 IJCV\\] Estimate Hand Poses Efficiently from Single Depth Images. [\\[PDF\\]](https://web.bii.a-star.edu.sg/~xuchi/pdf/XuEtAl_IJCV15.pdf) [\\[Project\\]](http://web.bii.a-star.edu.sg/~xuchi/dhand.htm)  [\\[Code\\]](https://github.com/lzddzh/HandPoseEstimation)\r\n\r\n*Chi Xu, Ashwin Nanjappa, Xiaowei Zhang, Li Cheng*\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n### Other Journals\r\n\r\n##### • \\[2023 ESWA\\] TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation.  [\\[PDF\\]](https://www.sciencedirect.com/science/article/pii/S0957417423004232)  [\\[Code\\]](https://github.com/mrezaei92/TriHorn-Net)\r\n\r\n_Mohammad Rezaei, Razieh Rastgoo, Vassilis Athitsos_\r\n\r\n##### • \\[2022 TIP\\] A Dual-Branch Self-Boosting Framework for Self-Supervised 3D Hand Pose Estimation. [\\[PDF\\]](https://ieeexplore.ieee.org/document/9841448) [\\[Code\\]](https://github.com/RenFeiTemp/DSF)\r\n\r\n_Pengfei Ren, Haifeng Sun, Jiachang Hao, Qi Qi, Jingyu Wang, Jianxin Liao_\r\n\r\n##### • \\[2022 Technologies\\] A Survey on GAN-Based Data Augmentation for Hand Pose Estimation Problem. [\\[PDF\\]](https://www.mdpi.com/2227-7080/10/2/43/pdf?version=1647826385)\r\n\r\n_Farnaz Farahanipad, Mohammad Rezaei, Mohammad Sadegh Nasr, Farhad Kamangar, Vassilis Athitsos_\r\n\r\n##### • \\[2022 TCSVT\\] 3D Hand Pose Estimation from Monocular RGB with Feature Interaction Module. [\\[PDF\\]](https://ieeexplore.ieee.org/document/9680673/)\r\n\r\n_Shaoxiang Guo, Eric Rigall, Yakun Ju, Junyu Dong_\r\n\r\n##### • \\[2021 TIP\\] Hand Pose Understanding with Large-Scale Photo-Realistic Rendering Dataset. [\\[PDF\\]](https://ieeexplore.ieee.org/document/9398571)\r\n\r\n_Xiaoming Deng, Yinda Zhang, Jian Shi, Yuying Zhu, Dachuan Cheng, Dexin Zuo, Zhaopeng Cui, Ping Tan, Liang Chang, Hongan Wang_\r\n\r\n##### • \\[2021 TIP\\] Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusion. [\\[PDF\\]](https://arxiv.org/pdf/2006.15561.pdf)\r\n\r\n_Yujin Chen, Zhigang Tu, Di Kang, Ruizhi Chen, Linchao Bao, Zhengyou Zhang, Junsong Yuan_\r\n\r\n##### • \\[2021 Neurocomputing\\] Spatial-aware Stacked Regression Network for Real-time 3D Hand Pose Estimation. [\\[PDF\\]](https://www.sciencedirect.com/science/article/abs/pii/S0925231221000667)\r\n\r\n_Pengfei Ren, Haifeng Sun, Weiting Huang, Jiachang hao, Daixuan Cheng, Qi Qi, Jingyu Wang, Jianxin Liao_\r\n\r\n##### • \\[2021 TMM\\] Differentiable Spatial Regression: A Novel Method for 3D Hand Pose Estimation. [\\[PDF\\]](https://drive.google.com/file/d/1kuhBSA4nzmJnIPeiTOTqC4w1YKQgjPBR/view?usp=share_link) [\\[Code\\]](https://github.com/IcarusWizard/PixelwiseRegression)\r\n\r\n_Xingyuan Zhang, Fuhai Zhang_\r\n\r\n##### • \\[2020 TIP\\] Weakly-supervised Learning for Single Depth based Hand Shape Recovery. [\\[PDF\\]](https://ieeexplore.ieee.org/document/9262071)\r\n\r\n_Xiaoming Deng, Yuying Zhu, Yinda Zhang, Zhaopeng Cui, Ping Tan, Wentian Qu, Cuixia Ma, Hongan Wang_\r\n\r\n##### • \\[2020 Signal Process Image Commun\\] Accurate 3D Hand Pose Estimation Network Utilizing Joints Information. [\\[PDF\\]](https://www.sciencedirect.com/science/article/pii/S0923596520301831)\r\n\r\n_Xiongquan Zhang; Shiliang Huang; Zhongfu Ye_\r\n\r\n##### • \\[2020 TCSVT\\] Improve Regression Network on Depth Hand Pose Estimation with Auxiliary Variable. [\\[PDF\\]](https://ieeexplore.ieee.org/abstract/document/9085372)\r\n\r\n_Lu Xu, Chen Hu, Ji’an Tao, Jianru Xue, Kuizhi Mei_\r\n\r\n##### • \\[2020 TVCG\\] 3D Hand Tracking in the Presence of Excessive Motion Blur. [\\[PDF\\]](https://ieeexplore.ieee.org/document/8998145)\r\n\r\n_Gabyong Park, Antonis Argyros, Juyoung Lee, Woontack Woo_\r\n\r\n##### • \\[2019 Computers \u0026 Graphics\\] Simple and effective deep hand shape and pose regression from a single depth image. [\\[PDF\\]](https://www.sciencedirect.com/science/article/abs/pii/S0097849319301591)\r\n\r\n_Jameel Malik, Ahmed Elhayek, Fabrizio Nunnari, Didier Stricker_\r\n\r\n##### • \\[2019 TIP\\] SRHandNet: Real-time 2D Hand Pose Estimation with Simultaneous Region Localization. [\\[PDF\\]](https://yangangwang.com/papers/WANG-SRH-2019-11.pdf) [\\[Project\\]](https://yangangwang.com/papers/WANG-SRH-2019-07.html)\r\n\r\n_Yangang Wang, Baowen Zhang, Cong Peng_\r\n\r\n##### • \\[2019 Sensors\\] WHSP-Net: A Weakly-Supervised Approach for 3D Hand Shape and Pose Recovery from a Single Depth Image. [\\[PDF\\]](https://www.mdpi.com/1424-8220/19/17/3784)\r\n\r\n_Jameel Malik\\*, Ahmed Elhayek\\*, Didier Stricker_\r\n\r\n##### • \\[2019 [RA-L](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7083369)\\] Variational Object-aware 3D Hand Pose from a Single RGB Image. [\\[PDF\\]](https://www.researchgate.net/profile/Yida_Wang/publication/334639748_Variational_Object-aware_3D_Hand_Pose_from_a_Single_RGB_Image/links/5d3a1a41a6fdcc370a6048df/Variational-Object-aware-3D-Hand-Pose-from-a-Single-RGB-Image.pdf)  [\\[Code\\]](https://github.com/wangyida/VO-handpose)\r\n\r\n_Yafei Gao\\*, Yida Wang\\*, Pietro Falco, Nassir Navab, Federico Tombari_\r\n\r\n##### • \\[2018 PR\\] A Survey on 3D Hand Pose Estimation: Cameras, Methods, and Datasets. [\\[PDF\\]](https://www.sciencedirect.com/science/article/abs/pii/S0031320319301724)\r\n\r\n_Rui Li, Zhenyu Liu, Jianrong Tan_\r\n\r\n##### • \\[2018 Neurocomputing\\] A CRNN module for hand pose estimation. [\\[PDF\\]](https://www.sciencedirect.com/science/article/pii/S0925231218315273#!)\r\n\r\n_Zhongxu Hu, Youmin Hu, Jie Liu, Bo Wu, Dongmin Han, Thomas Kurfess_\r\n\r\n##### • \\[2018 IVC\\] Large-scale Multiview 3D Hand Pose Dataset. [\\[PDF\\]](https://arxiv.org/pdf/1707.03742.pdf)  [\\[Project\\]](http://www.rovit.ua.es/dataset/mhpdataset/)\r\n\r\n_Francisco Gomez-Donoso, Sergio Orts-Escolano and Miguel Cazorla_\r\n\r\n##### • \\[2018 TCSVT\\] Mask-pose Cascaded CNN for 2D Hand Pose Estimation from Single Color Image. [\\[PDF\\]](https://www.yangangwang.com/papers/WANG-MCC-2018-10.pdf)  [\\[Project\\]](https://www.yangangwang.com/papers/WANG-MCC-2018-10.html)  [\\[Code\\]](https://www.yangangwang.com/papers/WANG-MCC-2018-10.html)\r\n\r\n_Yangang Wang, Cong Peng and Yebin Liu_\r\n\r\n##### • \\[2018 IVC\\] Top-down model fitting for hand pose recovery in sequences of depth images. [\\[PDF\\]](https://www.sciencedirect.com/science/article/pii/S0262885618301513#aep-article-footnote-id1)\r\n\r\n_Meysam Madadi, Sergio Escalera, Alex Carruesco, Carlos Andujar, Xavier Baró, Jordi Gonzàlez_\r\n\r\n##### • \\[2018 TCYB\\] Context-Aware Deep Spatio-Temporal Network for Hand Pose Estimation from Depth Images. [\\[PDF\\]](https://arxiv.org/pdf/1810.02994.pdf)\r\n\r\n_Yiming Wu, Wei Ji, Xi Li, Gang Wang, Jianwei Yin, Fei Wu_\r\n\r\n##### • \\[2018 IEEE Access\\] SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds. [\\[PDF\\]](https://ieeexplore.ieee.org/document/8425735/)  [\\[Project\\]](https://sites.google.com/view/xinghaochen/projects/SHPR-Net)\r\n\r\n_Xinghao Chen, Guijin Wang, Cairong Zhang, Tae-Kyun Kim, Xiangyang Ji_\r\n\r\n##### • \\[2018 Neurocomputing\\]  Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation. [\\[PDF\\]](https://arxiv.org/pdf/1708.03416.pdf)  [\\[Project\\]](https://sites.google.com/view/xinghaochen/projects/Pose-REN)  [\\[Code\\]](https://github.com/xinghaochen/Pose-REN)\r\n\r\n_Xinghao Chen, Guijin Wang, Hengkai Guo, Cairong Zhang_\r\n\r\n##### • \\[2018 PR\\]  Learning a deep network with spherical part model for 3D hand pose estimation. [\\[PDF\\]](https://www.sciencedirect.com/science/article/pii/S0031320318300839)\r\n\r\n_Tzu-Yang Chen, Pai-Wen Ting, Min-Yu Wu, Li-Chen Fu_\r\n\r\n##### • \\[2018 TIP\\] Robust 3D Hand Pose Estimation from Single Depth Images using Multi-View CNNs. [\\[PDF\\]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\u0026arnumber=8357595)\r\n\r\n_Liuhao Ge, Hui Liang, Junsong Yuan and Daniel Thalmann_\r\n\r\n##### • \\[2018 JVCI\\] Region Ensemble Network: Towards Good Practices for Deep 3D Hand Pose Estimation. [\\[PDF\\]](https://www.sciencedirect.com/science/article/pii/S1047320318300816) [\\[Code\\]](https://github.com/guohengkai/region-ensemble-network)\r\n\r\n_Guijin Wang, Xinghao Chen\\*, Hengkai Guo\\*, Cairong Zhang_\r\n\r\n##### • \\[2017 TCYB\\] Hough Forest with Optimized Leaves for Global Hand Pose Estimation with Arbitrary Postures. [\\[PDF\\]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\u0026arnumber=8237190)\r\n\r\n*Hui Liang, Junsong Yuan, J. Lee, Liuhao Ge and Daniel Thalmann*\r\n\r\n##### • \\[2017 TCSVT\\] Robust RGB-D Hand Tracking Using Deep Learning Priors. [\\[PDF\\]](http://ieeexplore.ieee.org/abstract/document/7955084/)\r\n\r\n*Jordi Sanchez-Riera, Kathiravan Srinivasan, Kai-Lung Hua, Wen-Huang Cheng, M. Anwar Hossain, and Mohammed F. Alhamid*\r\n\r\n##### • [2017 CVIU] Hand Pose Estimation through Semi-Supervised and Weakly-Supervised Learning. [\\[PDF\\]](https://arxiv.org/pdf/1511.06728.pdf)\r\n\r\n*Natalia Neverova, Christian Wolf, Florian Nebout, Graham Taylor*\r\n\r\n##### • \\[2017 Neurocomputing\\] Multi-task, Multi-domain Learning: application to semantic segmentation and pose regression. [\\[PDF\\]](http://liris.cnrs.fr/christian.wolf/papers/neurocomputing2017.pdf)\r\n\r\n*Damien Foururea, Rémi Emonet, Elisa Fromont, Damien Muselet, Natalia Neverova, Alain Trémeaua, Christian Wolf*\r\n\r\n##### • \\[2016 CVIU\\] Guided Optimisation through Classification and Regression for Hand Pose Estimation. [\\[PDF\\]](http://www.krejov.com/uploads/2/4/0/5/24053627/1-s2.0-s107731421630193x-main.pdf) [\\[Project\\]](http://www.krejov.com/hand-pose-estimation.html)\r\n\r\n*Philip Krejov, Andrew Gilbert, Richard Bowden*\r\n\r\n##### • \\[2015 TCSVT\\] Resolving Ambiguous Hand Pose Predictions by Exploiting Part Correlations. [\\[PDF\\]](https://ieeexplore.ieee.org/document/6926804/)\r\n\r\n*Hui Liang, Junsong Yuan, Daniel Thalmann*\r\n\r\n##### • \\[2014 TMM\\] Parsing the Hand in Depth Images. [\\[PDF\\]](https://ieeexplore.ieee.org/document/6740010) [\\[Project\\]](https://sites.google.com/site/seraphlh/projects)  [\\[Code\\]](https://github.com/shrekei/RandomDecisionForest)\r\n\r\n*Hui Liang, Junsong Yuan, Daniel Thalmann*\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n## Conference Papers\r\n\r\n### 2025 Others\r\n##### • [2025 ICLR] SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training. [\\[PDF\\]](https://openreview.net/pdf?id=96jZFqM5E0) [\\[Project\\]](https://lin-nie.github.io/projects/simhand/index.html)  [\\[Code\\]](https://github.com/ut-vision/SiMHand)\r\n_[Nie Lin*](https://lin-nie.github.io/), [Takehiko Ohkawa*](https://tkhkaeio.github.io/), [Yifei Huang](https://hyf015.github.io/), [Mingfang Zhang](https://mf-zhang.github.io/), [Minjie Cai](https://cai-mj.github.io/), [Ming Li](), [Ryosuke Furuta](https://rfuruta.github.io/), [Yoichi Sato](https://sites.google.com/ut-vision.org/ysato/) (*equal contribution)._\r\n\r\n### 2024 ECCV\r\n\r\n##### • HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation. [\\[PDF\\]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/12018.pdf)\r\n_Wencan Cheng, Eunji Kim, Jong Hwan Ko_\r\n\r\n##### • Dense Hand-Object(HO) GraspNet with Full Grasping Taxonomy and Dynamics. [\\[PDF\\]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/10784.pdf)\r\n_Woojin Cho, Jihyun Lee, Minjae Yi, Minje Kim, Taeyun Woo, Donghwan Kim, Taewook Ha, Hyokeun Lee, Je-Hwan Ryu, Woontack Woo, Tae-Kyun (T-K) Kim_\r\n\r\n##### • 3D Hand Pose Estimation in Everyday Egocentric Images. [\\[PDF\\]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/10034.pdf)\r\n_Aditya Prakash, Ruisen Tu, Matthew Chang, Saurabh Gupta_\r\n\r\n##### • 3D Reconstruction of Objects in Hands without Real World 3D Supervision. [\\[PDF\\]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/10029.pdf)\r\n_Aditya Prakash, Matthew Chang, Matthew Jin, Ruisen Tu, Saurabh Gupta_\r\n\r\n##### • Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance. [\\[PDF\\]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/10017.pdf)\r\n_Yufei Zhang, Jeffrey Kephart, Qiang Ji_\r\n\r\n##### • MLPHand: Real Time Multi-View 3D Hand Reconstruction via MLP Modeling. [\\[PDF\\]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/09503.pdf)\r\n_Jian Yang, Jiakun Li, Guoming Li, Huaiyu Wu, Zhen Shen, Zhaoxin Fan_\r\n\r\n##### • Are Synthetic Data Useful for Egocentric Hand-Object Interaction Detection? [\\[PDF\\]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/08953.pdf)\r\n_Rosario Leonardi, Antonino Furnari, Francesco Ragusa, Giovanni Maria Farinella_\r\n\r\n##### • 3D Hand Sequence Recovery from Real Blurry Images and Event Stream. [\\[PDF\\]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/07674.pdf)\r\n_JoonKyu Park, Gyeongsik Moon, Weipeng Xu, Evan Kaseman, Takaaki Shiratori, Kyoung Mu Lee_\r\n\r\n##### • Coarse-to-Fine Implicit Representation Learning for 3D Hand-Object Reconstruction from a Single RGB-D Image. [\\[PDF\\]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/06748.pdf)\r\n_Xingyu Liu, Pengfei Ren, Jingyu Wang, Qi Qi, Haifeng Sun, Zirui Zhuang, Jianxin Liao_\r\n\r\n##### • HandDGP: Camera-Space Hand Mesh Prediction with Differentiable Global Positioning. [\\[PDF\\]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/05563.pdf) [\\[Project\\]](https://nianticlabs.github.io/handdgp/) [\\[Code\\]](https://github.com/nianticlabs/HandDGP)\r\n_Eugene Valassakis, Guillermo Garcia-Hernando_\r\n\r\n##### • Controlling the World by Sleight of Hand. [\\[PDF\\]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/04442.pdf)\r\n_Sruthi Sudhakar, Ruoshi Liu, Basile Van Hoorick, Carl Vondrick, Richard Zemel_\r\n\r\n##### • Learning Cross-hand Policies of High-DOF Reaching and Grasping. [\\[PDF\\]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/04377.pdf)\r\n_Qijin She, Shishun Zhang, Yunfan Ye, Ruizhen Hu, Kai Xu_\r\n\r\n##### • D-SCo: Dual-Stream Conditional Diffusion for Monocular Hand-Held Object Reconstruction. [\\[PDF\\]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/04261.pdf)\r\n_Bowen Fu, Gu Wang, Chenyangguang Zhang, Yan Di, Ziqin Huang, Zhiying Leng, Fabian Manhardt, Xiangyang Ji, Federico Tombari_\r\n\r\n##### • NL2Contact: Natural Language Guided 3D Hand-Object Contact Modeling with Diffusion Model. [\\[PDF\\]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/04090.pdf)\r\n_Zhongqun Zhang, Hengfei Wang, Ziwei Yu, Yihua Cheng, Angela Yao, Hyung Jin Chang_\r\n\r\n##### • Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects. [\\[PDF\\]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/03682.pdf)\r\n_Zicong Fan, Takehiko Ohkawa, Linlin Yang, Nie Lin, Zhishan Zhou, Shihao Zhou, Jiajun Liang, Zhong Gao, Xuanyang Zhang, Xue Zhang, Fei Li, Liu Zheng, Feng Lu, Karim Abou Zeid, Bastian Leibe, Jeongwan On, Seungryul Baek, Aditya Prakash, Saurabh Gupta, Kun He, Yoichi Sato, Otmar Hilliges, Hyung Jin Chang, Angela Yao_\r\n\r\n##### • On the Utility of 3D Hand Poses for Action Recognition. [\\[PDF\\]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/01025.pdf)\r\n_Md Salman Shamil, Dibyadip Chatterjee, Fadime Sener, Shugao Ma, Angela Yao_\r\n\r\n##### • AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild. [\\[PDF\\]](https://arxiv.org/abs/2407.18034) [\\[Project\\]](https://redorangeyellowy.github.io/AttentionHand/) [\\[Code\\]](https://github.com/redorangeyellowy/AttentionHand) *(Oral)*\r\n_Junho Park, Kyeongbo Kong, Suk-Ju Kang_\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n### 2024 CVPR\r\n\r\n##### • Physics-aware Hand-object Interaction Denoising\r\n_Haowen Luo, Yunze Liu, Li Yi_\r\n\r\n##### • HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data\r\n_Mengqi Zhang, Yang Fu, Zheng Ding, Sifei Liu, Zhuowen Tu, Xiaolong Wang_\r\n\r\n##### • URHand: Universal Relightable Hands. [\\[PDF\\]](https://arxiv.org/pdf/2401.05334)\r\n_Zhaoxi Chen, Gyeongsik Moon, Kaiwen Guo, Chen Cao, Stanislav Pidhorskyi, Tomas Simon, Rohan Joshi, Yuan Dong, Yichen Xu, Bernardo Pires, He Wen, Lucas Evans, Bo Peng, Julia Buffalini, Autumn Trimble, Kevyn McPhail, Melissa Schoeller, Shoou-I Yu, Javier Romero, Michael Zollhöfer, Yaser Sheikh, Ziwei Liu, Shunsuke Saito_\r\n\r\n##### • OakInk2: A Dataset of Embodied Hands-Object Manipulation in Long-Horizon Complex Task Completion\r\n_Xinyu Zhan, Lixin Yang, Yifei Zhao, Kangrui Mao, Hanlin Xu, Zenan Lin, Kailin Li, Cewu Lu_\r\n\r\n##### • InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion\r\n_Jihyun Lee, Shunsuke Saito, Giljoo Nam, Minhyuk Sung, Tae-Kyun (T-K) Kim_\r\n\r\n##### • MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-Aware Supervision. [\\[PDF\\]](https://arxiv.org/pdf/2310.11696)\r\n_Chenyangguang Zhang, Guanlong Jiao, Yan Di, Ziqin Huang, Gu Wang, Ruida Zhang, Bowen Fu, Federico Tombari, Xiangyang Ji_\r\n\r\n##### • OHTA: One-shot Hand Avatar via Data-driven Implicit Priors. [\\[PDF\\]](https://arxiv.org/pdf/2402.18969)\r\n_Xiaozheng Zheng, Chao Wen, Zhuo Su, Zeran Xu, Zhaohu Li, Yang Zhao, Zhou Xue_\r\n\r\n##### • HandBooster: Boosting 3D Hand-Mesh Reconstruction by Conditional Synthesis and Sampling of Hand-Object Interactions. \r\n_Hao Xu, Haipeng Li, Yinqiao Wang, Shuaicheng Liu, Chi-Wing Fu_\r\n\r\n##### • HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud.\r\n_Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko_ \r\n\r\n##### • Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction.\r\n_Junuk Cha, Jihyeon Kim, Jae Shin Yoon, Seungryul Baek_\r\n\r\n##### • BOTH2Hands: Inferring 3D Hands from Both Text Prompts and Body Dynamics. [\\[PDF\\]](https://arxiv.org/pdf/2312.07937)\r\n_Wenqian Zhang, Molin Huang, Yuxuan Zhou, Juze Zhang, Jingyi Yu, Jingya Wang, Lan Xu_\r\n\r\n##### • GEARS: Local Geometry-aware Hand-object Interaction Synthesis.\r\n_Keyang Zhou, Bharat Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll_\r\n\r\n##### • A Simple Baseline for Efficient Hand Mesh Reconstruction. [\\[PDF\\]](https://arxiv.org/pdf/2403.01813)\r\n_Zhishan Zhou, Shihao.zhou, Zhi Lv, Minqiang Zou, Yao Tang, Jiajun Liang_\r\n\r\n##### • HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from Video. [\\[PDF\\]](https://arxiv.org/pdf/2311.18448) [\\[Code\\]](https://github.com/zc-alexfan/hold) \r\n_Zicong Fan, Maria Parelli, Maria Eleni Kadoglou, Muhammed Kocabas, Xu Chen, Michael J. Black, Otmar Hilliges_\r\n\r\n##### • MS-MANO: Enabling Hand Pose Tracking with Biomechanical Constraints.\r\n_Pengfei Xie, Wenqiang Xu, Tutian Tang, Zhenjun Yu, Cewu Lu_\r\n\r\n##### • HOIST-Former: Hand-held Objects Identification, Segmentation, and Tracking in the Wild.\r\n_Supreeth Narasimhaswamy, Huy Nguyen, Lihan Huang, Minh Hoai_\r\n\r\n##### • BiTT: Bi-directional Texture Reconstruction of Interacting Two Hands from a Single Image.\r\n_Minje Kim, Tae-Kyun Kim_\r\n\r\n##### • Authentic Hand Avatar from a Phone Scan via Universal Hand Model.\r\n_Gyeongsik Moon, Weipeng Xu, Rohan Joshi, Chenglei Wu, Takaaki Shiratori_\r\n\r\n##### • Reconstructing Hands in 3D with Transformers. [\\[PDF\\]](https://arxiv.org/pdf/2312.05251)\r\n_Georgios Pavlakos, Dandan Shan, Ilija Radosavovic, Angjoo Kanazawa, David Fouhey, Jitendra Malik_\r\n\r\n##### • Complementing Event Streams and RGB Frames for Hand Mesh Reconstruction.\r\n_Jianping Jiang, Xinyu Zhou, Bingxuan Wang, Xiaoming Deng, Chao Xu, Boxin Shi_\r\n\r\n##### • Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation. [\\[PDF\\]](https://arxiv.org/pdf/2403.04381)\r\n_Ruicong Liu, Takehiko Ohkawa, Mingfang Zhang, Yoichi Sato_\r\n\r\n##### • HOISDF: Constraining 3D Hand Object Pose Estimation with Global Signed Distance Fields. [\\[PDF\\]](https://arxiv.org/pdf/2402.17062)\r\n_Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis_\r\n\r\n##### • G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis.\r\n_Yufei Ye, Abhinav Gupta, Kris Kitani, Shubham Tulsiani_\r\n\r\n##### • HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models.\r\n_Mengcheng Li, Hongwen Zhang, Yuxiang Zhang, Ruizhi Shao, Tao Yu, Yebin Liu_\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n## Conference Papers\r\n\r\n### 2023 CVPR\r\n\r\n##### • A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB Image\r\n\r\n_Zheheng Jiang, Hossein Rahmani, Sue Black, Bryan M. Williams_\r\n\r\n##### • A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image. [\\[PDF\\]](https://arxiv.org/pdf/2304.03635.pdf)  [\\[Code\\]](https://github.com/ChanglongJiangGit/A2J-Transformer)\r\n\r\n_Changlong Jiang, Yang Xiao, Cunlin Wu, Mingyang Zhang, Jinghong Zheng, Zhiguo Cao, Joey Tianyi Zhou_\r\n\r\n##### • MeMaHand: Exploiting Mesh-Mano Interaction for Single Image Two-Hand Reconstruction. [\\[PDF\\]](https://arxiv.org/pdf/2303.15718.pdf)\r\n\r\n_Congyi Wang, Feida Zhu, Shilei Wen_\r\n\r\n##### • ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation. [\\[Project\\]](https://arctic.is.tue.mpg.de/)\r\n\r\n_Zicong Fan, Omid Taheri, Dimitrios Tzionas, Muhammed Kocabas, Manuel Kaufmann, Michael J. Black, Otmar Hilliges_\r\n\r\n##### • AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation. [\\[Project\\]](https://assemblyhands.github.io/)\r\n\r\n_Takehiko Ohkawa, Kun He, Fadime Sener, Tomas Hodan, Luan Tran, and Cem Keskin_\r\n\r\n##### • High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition.\r\n\r\n_Tianyu Luan, Yuanhao Zhai, Jingjing Meng, Zhong Li, Zhang Chen, Yi Xu, and Junsong Yuan._\r\n\r\n##### • HandNeRF: Neural Radiance Fields for Animatable Interacting Hands. [\\[PDF\\]](https://arxiv.org/pdf/2303.13825.pdf)\r\n\r\n_Zhiyang Guo, Wengang Zhou, Min Wang, Li Li, Houqiang Li_\r\n\r\n##### • POEM: Reconstructing Hand in a Point Embedded Multi-view Stereo. [\\[PDF\\]](https://arxiv.org/pdf/2304.04038.pdf) [\\[Code\\]](https://github.com/lixiny/POEM)\r\n\r\n_Lixin Yang, Jian Xu, Licheng Zhong, Xinyu Zhan, Zhicheng Wang, Kejian Wu, Cewu Lu_\r\n\r\n##### • HARP: Personalized Hand Reconstruction from a Monocular RGB Video. [\\[PDF\\]](https://arxiv.org/pdf/2212.09530.pdf) [\\[Project\\]](https://korrawe.github.io/harp-project/)\r\n\r\n_Korrawe Karunratanakul, Sergey Prokudin, Otmar Hilliges, Siyu Tang_\r\n\r\n##### • RelightableHands: Efficient Neural Relighting of Articulated Hand Models. [\\[PDF\\]](https://arxiv.org/pdf/2303.04866.pdf) [\\[Project\\]](https://sh8.io/#/relightable_hands)\r\n\r\n_Shun Iwase, Shunsuke Saito, Tomas Simon, Stephen Lombardi, Timur Bagautdinov, Rohan Joshi, Fabian Prada, Takaaki Shiratori, Yaser Sheikh, Jason Saragih_\r\n\r\n##### • H2ONet: Hand-Occlusion-and-Orientation-aware Network for Real-time 3D Hand Mesh Reconstruction.\r\n\r\n_Hao Xu, Tianyu Wang, Xiao Tang, Chi-Wing Fu_\r\n\r\n##### • Affordance Diffusion: Synthesizing Hand-Object Interactions. [\\[PDF\\]](https://arxiv.org/pdf/2303.12538.pdf) [\\[Project\\]](https://judyye.github.io/affordiffusion-www/)\r\n\r\n_Yufei Ye, Xueting Li, Abhinav Gupta, Shalini De Mello, Stan Birchfield, Jiaming Song, Shubham Tulsiani, Sifei Liu_\r\n\r\n##### • gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction. [\\[PDF\\]](https://zerchen.github.io/contents/CVPR_gSDF_Paper.pdf) [\\[Project\\]](https://zerchen.github.io/projects/gsdf.html)\r\n\r\n_Zerui Chen, Shizhe Chen, Cordelia Schmid, Ivan Laptev_\r\n\r\n##### • Harmonious Feature Learning for Interactive Hand-Object Pose Estimation.\r\n\r\n_Zhifeng Lin, Changxing Ding, Huan Yao, Zengsheng Kuang, Shaoli Huang_\r\n\r\n##### • Handy: Towards a high fidelity 3D hand shape and appearance model.\r\n\r\n_Rolandos Potamias Potamias, Stylianos Ploumpis, Stylianos Moschoglou, Vasileios Triantafyllou, Stefanos Zafeiriou_\r\n\r\n##### • Hand Avatar: Free-Pose Hand Animation and Rendering from Monocular Video. [\\[PDF\\]](https://arxiv.org/pdf/2211.12782.pdf) [\\[Project\\]](https://seanchenxy.github.io/HandAvatarWeb/)\r\n\r\n_Xingyu Chen, Baoyuan Wang Heung-Yeung, Shum_\r\n\r\n##### • Cross-domain 3D Hand Pose Estimation with Dual Modalities. \\[PDF\\]\r\n\r\n_Qiuxia Lin, Linlin Yang, Angela Yao_\r\n\r\n##### • Overcoming the Tradeoff in Accuracy and Plausibility for 3D Hand Shape Reconstruction. \\[PDF\\]\r\n\r\n_Ziwei Yu, Chen Li, Linlin Yang, Xiaoxu Zheng, Michael Bi Mi, Gim Hee Lee, Angela Yao_\r\n\r\n##### • Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition from Egocentric RGB Videos. [\\[PDF\\]](https://arxiv.org/pdf/2209.09484)  [\\[Project\\]](https://fylwen.github.io/htt.html) [\\[Code\\]](https://github.com/fylwen/HTT)\r\n\r\n_Yilin Wen, Hao Pan, Lei Yang, Jia Pan, Taku Komura, Wenping Wang_\r\n\r\n##### • Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes. [\\[PDF\\]](https://arxiv.org/pdf/2302.14348)  [\\[Project\\]](https://jyunlee.github.io/projects/implicit-two-hands/) [\\[Code\\]](https://github.com/jyunlee/Im2Hands)\r\n\r\n_Jihyun Lee, Minhyuk Sung, Honggyu Choi, Tae-Kyun Kim_\r\n\r\n##### • Neural Voting Field for Camera-Space 3D Hand Pose Estimation. \\[PDF\\]\r\n\r\n_Lin Huang, Chung-Ching Lin, Kevin Lin, Lin Liang, Lijuan Wang, Junsong Yuan, Zicheng Liu_\r\n\r\n##### • Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild. \\[PDF\\]\r\n\r\n_Gyeongsik Moon_\r\n\r\n##### • Recovering 3D Hand Mesh Sequence from a Single Blurry Image: A New Dataset and Temporal Unfolding. \\[PDF\\]\r\n\r\n_JoonKyu Park*, Yeonguk Oh*, Jaeha Kim*, Gyeongsik Moon, Kyoung Mu Lee_\r\n\r\n##### • Semi-supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination. \\[PDF\\]\r\n\r\n_Zimeng Zhao, Binghui Zuo, Zhiyu Long and Yangang Wang_\r\n\r\n##### • Transformer-based Unified Recognition of Two Hands Manipulating Objects. \\[PDF\\]\r\n\r\n_Hoseong Cho, Chanwoo Kim, Jihyeon Kim, Seongyeong Lee, Elkhan Ismayilzada, Seungryul Baek_\r\n\r\n##### • ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction. [\\[PDF\\]](https://arxiv.org/pdf/2303.05938)  [\\[Project\\]](https://zhengdiyu.github.io/ACR-page/) [\\[Code\\]](https://github.com/ZhengdiYu/Arbitrary-Hands-3D-Reconstruction)\r\n\r\n_Zhengdi Yu, Shaoli Huang, Chen Fang, Toby P. Breckon, Jue Wang_\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n\r\n### 2023 ICCV\r\n\r\n##### • Novel-view Synthesis and Pose Estimation for Hand-Object Interaction from Sparse Views. [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2023/papers/Qu_Novel-View_Synthesis_and_Pose_Estimation_for_Hand-Object_Interaction_from_Sparse_ICCV_2023_paper.pdf) [Project\\]](https://iscas3dv.github.io/HO-NeRF/index.html) [\\[Code\\]](https://github.com/iscas3dv/HO-NeRF) [\\[Data\\]](https://pan.baidu.com/s/1t7oRCtJe0qBYazbC7CZoiA?pwd=8rc4)\r\n_Wentian  Qu, Zhaopeng Cui, Yinda Zhang, Chenyu Meng, Cuixia Ma, Xiaoming Deng, Hongan Wang_\r\n\r\n##### • ContactGen: Generative Contact Modeling for Grasp Generation [\\[PDF\\]](https://arxiv.org/pdf/2310.03740.pdf) [\\[Project\\]](https://stevenlsw.github.io/contactgen/) [\\[Code\\]](https://github.com/stevenlsw/contactgen)\r\n_Shaowei Liu, Yang Zhou, Jimei Yang, Saurabh Gupta, Shenlong Wang_\r\n\r\n##### • Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips. [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2023/papers/Ye_Diffusion-Guided_Reconstruction_of_Everyday_Hand-Object_Interaction_Clips_ICCV_2023_paper.pdf)\r\n_Yufei Ye, Poorvi Hebbar, Abhinav Gupta, Shubham Tulsiani_\r\n\r\n##### • HandR2N2: Iterative 3D Hand Pose Estimation Using a Residual Recurrent Neural Network. [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2023/papers/Cheng_HandR2N2_Iterative_3D_Hand_Pose_Estimation_Using_a_Residual_Recurrent_ICCV_2023_paper.pdf)\r\n_Wencan Cheng, Jong Hwan Ko_\r\n\r\n##### • HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning. [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2023/papers/Zheng_HaMuCo_Hand_Pose_Estimation_via_Multiview_Collaborative_Self-Supervised_Learning_ICCV_2023_paper.pdf) [\\[Project\\]](https://zxz267.github.io/HaMuCo/) [\\[Code\\]](https://github.com/zxz267/HaMuCo)\r\n_Xiaozheng Zheng, Chao Wen, Zhou Xue, Pengfei Ren, Jingyu Wang_\r\n\r\n##### • Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation. [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2023/papers/Fu_Deformer_Dynamic_Fusion_Transformer_for_Robust_Hand_Pose_Estimation_ICCV_2023_paper.pdf)\r\n_Qichen Fu, Xingyu Liu, Ran Xu, Juan Carlos Niebles, Kris M. Kitani_\r\n\r\n##### • PHRIT: Parametric Hand Representation with Implicit Template. [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2023/papers/Huang_PHRIT_Parametric_Hand_Representation_with_Implicit_Template_ICCV_2023_paper.pdf)\r\n_Zhisheng Huang, Yujin Chen, Di Kang, Jinlu Zhang, Zhigang Tu_\r\n\r\n##### • CHORD: Category-level Hand-held Object Reconstruction via Shape Deformation. [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2023/papers/Li_CHORD_Category-level_Hand-held_Object_Reconstruction_via_Shape_Deformation_ICCV_2023_paper.pdf)\r\n_Kailin Li, Lixin Yang, Haoyu Zhen, Zenan Lin, Xinyu Zhan, Licheng Zhong, Jian Xu, Kejian Wu, Cewu Lu_\r\n\r\n##### • Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting. [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2023/papers/Bao_Uncertainty-aware_State_Space_Transformer_for_Egocentric_3D_Hand_Trajectory_Forecasting_ICCV_2023_paper.pdf)\r\n_Wentao Bao, Lele Chen, Libing Zeng, Zhong Li, Yi Xu, Junsong Yuan, Yu Kong_\r\n\r\n##### • Spectral Graphormer: Spectral Graph-Based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images. [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2023/papers/Tse_Spectral_Graphormer_Spectral_Graph-Based_Transformer_for_Egocentric_Two-Hand_Reconstruction_using_ICCV_2023_paper.pdf) [\\[Project\\]](https://eldentse.github.io/Spectral-Graphormer/) [\\[Code\\]](https://github.com/google-research/google-research/tree/master/spectral_graphormer)\r\n_Tze Ho Elden Tse, Franziska Mueller, Zhengyang Shen, Danhang Tang, Thabo Beeler, Mingsong Dou, Yinda Zhang, Sasa Petrovic, Hyung Jin Chang, Jonathan Taylor, Bardia Doosti_\r\n\r\n##### • Reconstructing Interacting Hands with Interaction Prior from Monocular Images. [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2023/papers/Zuo_Reconstructing_Interacting_Hands_with_Interaction_Prior_from_Monocular_Images_ICCV_2023_paper.pdf)\r\n_Binghui Zuo, Zimeng Zhao, Wenqian Sun, Wei Xie, Zhou Xue, Yangang Wang_\r\n\r\n##### • OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision. [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2023/papers/Zhang_OCHID-Fi_Occlusion-Robust_Hand_Pose_Estimation_in_3D_via_RF-Vision_ICCV_2023_paper.pdf)\r\n_Shujie Zhang, Tianyue Zheng, Zhe Chen, Jingzhi Hu, Abdelwahed Khamis, Jiajun Liu, Jun Luo_\r\n\r\n##### • Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction. [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2023/papers/Leng_Dynamic_Hyperbolic_Attention_Network_for_Fine_Hand-object_Reconstruction_ICCV_2023_paper.pdf)\r\n_Zhiying Leng, Shun-Cheng Wu, Mahdi Saleh, Antonio Montanaro, Hao Yu, Yin Wang, Nassir Navab, Xiaohui Liang, Federico Tombari_\r\n\r\n##### • Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image. [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2023/papers/Ren_Decoupled_Iterative_Refinement_Framework_for_Interacting_Hands_Reconstruction_from_a_ICCV_2023_paper.pdf) [\\[Project\\]](https://pengfeiren96.github.io/DIR/) [\\[Code\\]](https://github.com/PengfeiRen96/DIR)\r\n_Pengfei Ren, Chao Wen, Xiaozheng Zheng, Zhou Xue, Haifeng Sun, Qi Qi, Jingyu Wang, Jianxin Liao_\r\n\r\n##### • AffordPose: A Large-Scale Dataset of Hand-Object Interactions with Affordance-Driven Hand Pose. [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2023/papers/Jian_AffordPose_A_Large-Scale_Dataset_of_Hand-Object_Interactions_with_Affordance-Driven_Hand_ICCV_2023_paper.pdf)\r\n_Juntao Jian, Xiuping Liu, Manyi Li, Ruizhen Hu, Jian Liu_\r\n\r\n##### • EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding. [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2023/papers/Xu_EgoPCA_A_New_Framework_for_Egocentric_Hand-Object_Interaction_Understanding_ICCV_2023_paper.pdf)\r\n_Yue Xu, Yong-Lu Li, Zhemin Huang, Michael Xu Liu, Cewu Lu, Yu-Wing Tai, Chi-Keung Tang_\r\n\r\n##### • RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2023/papers/Li_RenderIH_A_Large-Scale_Synthetic_Dataset_for_3D_Interacting_Hand_Pose_ICCV_2023_paper.pdf) [\\[Project\\]](https://github.com/adwardlee/RenderIH/tree/main) [\\[Code\\]](https://github.com/adwardlee/RenderIH/tree/main)\r\n\r\n_Lijun Li, Linrui Tian, Xindi Zhang, Qi Wang, Bang Zhang, Liefeng Bo, Mengyuan Liu, Chen Chen_\r\n\r\n##### • Source-free Domain Adaptive Human Pose Estimation [\\[PDF\\]](https://arxiv.org/abs/2308.03202) [\\[Project\\]](https://github.com/davidpengucf/SFDAHPE) [\\[Code\\]](https://github.com/davidpengucf/SFDAHPE)\r\n\r\n_Qucheng Peng, Ce Zheng, Chen Chen_\r\n\r\n##### • LiveHand: Real-time and Photorealistic Neural Hand Rendering [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2023/papers/Mundra_LiveHand_Real-time_and_Photorealistic_Neural_Hand_Rendering_ICCV_2023_paper.pdf) [\\[Project\\]](https://vcai.mpi-inf.mpg.de/projects/LiveHand/) [\\[Code\\]](https://github.com/amundra15/livehand)\r\n\r\n_Akshay Mundra, Mallikarjun B R, Jiayi Wang, Marc Habermann, Christian Theobalt, Mohamed Elgharib_\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n\r\n### 2023 Others\r\n\r\n##### • [2023 NeurIPS] FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow. [\\[PDF\\]](https://arxiv.org/pdf/2307.08100.pdf)  [\\[Project\\]](https://jyunlee.github.io/projects/fourier-hand-flow/)\r\n_Jihyun Lee, Junbong Jang, Donghwan Kim, Minhyuk Sung, Tae-Kyun (T-K) Kim_\r\n\r\n##### • [2023 ICCVW] SHOWMe: Benchmarking Object-agnostic Hand-Object 3D Reconstruction. [\\[PDF\\]](https://arxiv.org/pdf/2309.10748.pdf)  [\\[Project\\]](https://europe.naverlabs.com/research/showme) [\\[Code\\]](https://github.com/naver/showme/tree/main) [\\[Data\\]](https://download.europe.naverlabs.com/showme/)\r\n_Anilkumar Swamy, Vincent Leroy, Philippe Weinzaepfel, Fabien Baradel, Salma Galaaoui, Romain Bregier, Matthieu Armando, Jean-Sebastien Franco, Gregory Rogez_\r\n\r\n##### • [2023 AAAI] Two Heads are Better than One: Image-Point Cloud Network for Depth-Based 3D Hand Pose Estimation. [\\[PDF\\]]  *(AAAI-23 Distinguished Papers)*\r\n\r\n_Pengfei Ren, Yuchen Chen, Jiachang Hao, Haifeng Sun, Qi Qi, Jingyu Wang, Jianxin Liao_\r\n\r\n##### • [2023 AAAI] Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wild. [\\[PDF\\]](https://arxiv.org/pdf/2209.12009)\r\n\r\n_Jiayi Chen, Mi Yan, Jiazhao Zhang, Yinzhen Xu, Xiaolong Li, Yijia Weng, Li Yi, Shuran Song, He Wang_\r\n\r\n##### • [2023 WACV] THOR-Net: End-to-End Graformer-Based Realistic Two Hands and Object Reconstruction With Self-Supervision. [\\[PDF\\]](https://openaccess.thecvf.com/content/WACV2023/papers/Aboukhadra_THOR-Net_End-to-End_Graformer-Based_Realistic_Two_Hands_and_Object_Reconstruction_With_WACV_2023_paper.pdf) [\\[Code\\]](https://github.com/ATAboukhadra/THOR-Net)\r\n\r\n_Ahmed Tawfik Aboukhadra, Jameel Malik, Ahmed Elhayek, Nadia Robertini, Didier Stricker_\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n\r\n### 2022 ECCV\r\n\r\n##### • Identity-aware Hand Mesh Estimation and Personalization from RGB Images    . [\\[PDF\\]] [\\[Code\\]](https://github.com/deyingk/PersonalizedHandMeshEstimation)\r\n\r\n_Deying Kong, Linguang Zhang, Liangjian Chen, Haoyu Ma, Xiangyi Yan, Shanlin Sun, Xingwei Liu, Kun Han, Xiaohui Xie_\r\n\r\n##### • AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction. [\\[PDF\\]](https://arxiv.org/pdf/2207.12909.pdf) [\\[Project\\]](https://zerchen.github.io/projects/alignsdf.html) [\\[Code\\]](https://github.com/zerchen/alignsdf)\r\n\r\n_Zerui Chen, Yana Hasson, Cordelia Schmid, Ivan Laptev_\r\n\r\n##### • S\u003csup\u003e2\u003c/sup\u003eContact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning. [\\[PDF\\]](https://arxiv.org/pdf/2208.00874.pdf) [\\[Project\\]](https://eldentse.github.io/s2contact/)  [\\[Code\\]](https://github.com/eldentse/s2contact)\r\n\r\n_Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Ales Leonardis, Feng Zheng, Hyung Jin Chang_\r\n\r\n##### • Domain Adaptive Hand Keypoint and Pixel Localization in the Wild. [\\[PDF\\]](https://arxiv.org/pdf/2203.08344.pdf) [\\[Project\\]](https://tkhkaeio.github.io/projects/22-hand-ps-da/)\r\n\r\n_Takehiko Ohkawa, Yu-Jhe Li, Qichen Fu, Ryosuke Furuta, Kris M. Kitani, and Yoichi Sato_\r\n\r\n##### • 3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal. [\\[PDF\\]](https://arxiv.org/abs/2207.11061) [\\[Project\\]](https://menghao666.github.io/HDR/)[\\[Dataset\\]](https://connecthkuhk-my.sharepoint.com/personal/js20_connect_hku_hk/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fjs20%5Fconnect%5Fhku%5Fhk%2FDocuments%2FAIH%5Fdataset\u0026ga=1)\r\n\r\nHao Meng, Sheng Jin, Wentao Liu, Chen Qian, Mengxiang Lin, Wanli Ouyang, Ping Luo\r\n\r\n##### • Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers. [\\[PDF\\]](https://arxiv.org/abs/2207.13820) [\\[Project\\]](https://fastmetro.github.io/) [\\[Code\\]](https://github.com/postech-ami/FastMETRO)\r\n\r\n_Junhyeong Cho, Kim Youwang, Tae-Hyun Oh_\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n\r\n### 2022 CVPR\r\n\r\n##### • What's in your hands? 3D Reconstruction of Generic Objects in Hands. [\\[PDF\\]](https://arxiv.org/pdf/2204.07153.pdf) [\\[Project\\]](https://judyye.github.io/ihoi/) [\\[Code\\]](https://github.com/JudyYe/ihoi)\r\n\r\n_Yufei Ye, Abhinav Gupta, Shubham Tulsiani_\r\n\r\n##### • Mining Multi-View Information: A Strong Self-Supervised Framework for Depth-based 3D Hand Pose and Mesh Estimation. [\\[PDF\\]](https://openaccess.thecvf.com/content/CVPR2022/papers/Ren_Mining_Multi-View_Information_A_Strong_Self-Supervised_Framework_for_Depth-Based_3D_CVPR_2022_paper.pdf) \\[Code\\]\r\n\r\n_Pengfei Ren, Haifeng Sun, Jiachang Hao, Jingyu Wang, Qi Qi,Jianxin Liao_\r\n\r\n##### • HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network. [\\[PDF\\]](https://arxiv.org/pdf/2203.14564) [\\[Code\\]](https://github.com/namepllet/HandOccNet)\r\n\r\n_JoonKyu Park, Yeonguk Oh, Gyeongsik Moon, Hongsuk Choi, Kyoung Mu Lee_\r\n\r\n##### • Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation. \\[PDF\\]\r\n\r\n_Shreyas Hampali, Sayan Deb Sarkar, Mahdi Rad, Vincent Lepetit_\r\n\r\n##### • Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution. [\\[PDF\\]](https://openaccess.thecvf.com/content/CVPR2022/papers/Tse_Collaborative_Learning_for_Hand_and_Object_Reconstruction_With_Attention-Guided_Graph_CVPR_2022_paper.pdf) [\\[Project\\]](https://eldentse.github.io/collab-hand-object/)\r\n\r\n_Tze Ho Elden Tse, Kwang In Kim, Ales Leonardis, and Hyung Jin Chang_\r\n\r\n##### • Spatial-Temporal Parallel Transformer for Arm-Hand Dynamic Estimation. [\\[PDF\\]](https://arxiv.org/pdf/2203.16202.pdf)\r\n\r\n_Shuying Liu, Wenbin Wu, Jiaxian Wu, Yue Lin_\r\n\r\n##### • D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions. [\\[PDF\\]](https://arxiv.org/pdf/2112.03028.pdf) [\\[Project\\]](https://eth-ait.github.io/d-grasp/)\r\n\r\n_Sammy Christen, Muhammed Kocabas, Emre Aksan, Jemin Hwangbo, Jie Song, Otmar Hilliges_\r\n\r\n##### • GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping. [\\[PDF\\]](https://arxiv.org/pdf/2112.11454.pdf) [\\[Project\\]](https://goal.is.tuebingen.mpg.de/)\r\n\r\n_Omid Taheri, Vasileios Choutas, Michael J. Black, Dimitrios Tzionas_\r\n\r\n##### • OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction. [\\[PDF\\]](https://arxiv.org/pdf/2203.15709) [\\[Code\\]](https://github.com/lixiny/OakInk)\r\n\r\n_Lixin Yang, Kailin Li Xinyu Zhan, Fei Wu, Anran Xu, Liu Liu, Cewu Lu_\r\n\r\n##### • ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis. [\\[PDF\\]](https://arxiv.org/pdf/2109.05488) [\\[Code\\]](https://github.com/MVIG-SJTU/ArtiBoost)\r\n\r\n_Kailin Li, Lixin Yang, Xinyu Zhan, Jun Lv, Wenqiang Xu, Jiefeng Li, Cewu Lu_\r\n\r\n##### • Interacting Attention Graph for Single Image Two-Hand Reconstruction. [\\[PDF\\]](https://arxiv.org/pdf/2203.09364)  [\\[Project\\]](http://www.liuyebin.com/IntagHand/Intaghand.html)  [\\[Code\\]](https://github.com/Dw1010/IntagHand)\r\n\r\n_Mengcheng Li，Liang An, Hongwen Zhang, Lianpeng Wu, Feng Chen, Tao Yu, Yebin Liu_\r\n\r\n##### • MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image.  [\\[PDF\\]](https://arxiv.org/pdf/2112.02753) [\\[Code\\]](https://github.com/SeanChenxy/HandMesh)\r\n\r\n_Xingyu Chen, Yufeng Liu, Yajiao Dong, Xiong Zhang, Chongyang Ma, Yanmin Xiong, Yuan Zhang, Xiaoyan Guo_\r\n\r\n##### • LISA: Learning Implicit Shape and Appearance of Hands.  [\\[PDF\\]](https://arxiv.org/pdf/2204.01695) [\\[Project\\]](http://www.iri.upc.edu/people/ecorona/lisa/)\r\n\r\n_Enric Corona, Tomas Hodan, Minh Vo, Francesc Moreno-Noguer, Chris Sweeney, Richard Newcombe, Lingni Ma_\r\n\r\n### 2022 Others\r\n\r\n##### • [2022 AAAI] Efficient Virtual View Selection for 3D Hand Pose Estimation. [\\[PDF\\]](https://me495.github.io/handpose-virtualview/resources/paper.pdf) [\\[Project\\]](https://me495.github.io/handpose-virtualview/) [\\[Code\\]](https://github.com/iscas3dv/handpose-virtualview)\r\n\r\n_Jian Cheng, Yanguang Wan, Dexin Zuo, Cuixia Ma, Jian Gu, Ping Tan, Hongan Wang, Xiaoming Deng, Yinda Zhang_\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n\r\n### 2021 ICCV\r\n\r\n##### • Toward Human-Like Grasp: Dexterous Grasping via Semantic Representation of Object-Hand. [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2021/papers/Zhu_Toward_Human-Like_Grasp_Dexterous_Grasping_via_Semantic_Representation_of_Object-Hand_ICCV_2021_paper.pdf)\r\n\r\n_Tianqiang Zhu, Rina Wu, Xiangbo Lin, Yi Sun_\r\n\r\n##### • Self-Supervised Transfer Learning for Hand Mesh Recovery From Binocular Images. [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2021/papers/Chen_Self-Supervised_Transfer_Learning_for_Hand_Mesh_Recovery_From_Binocular_Images_ICCV_2021_paper.pdf)\r\n\r\n_Zheng Chen, Sihan Wang, Yi Sun, Xiaohong Ma_\r\n\r\n##### • Self-Supervised 3D Hand Pose Estimation from monocular RGB via Contrastive Learning. [\\[PDF\\]](https://arxiv.org/pdf/2106.05953) [\\[Code\\]](https://github.com/dahiyaaneesh/peclr) (Oral)\r\n\r\n_Adrian Spurr, Aneesh Dahiya, Xucong Zhang, Xi Wang, Otmar Hilliges_\r\n\r\n##### • Towards Accurate Alignment in Real-time 3D Hand-Mesh Reconstruction. [\\[PDF\\]](https://arxiv.org/pdf/2109.01723.pdf)  [\\[Code\\]](https://github.com/wbstx/handAR)\r\n\r\n_Xiao Tang, Tianyu Wang, Chi-Wing Fu_\r\n\r\n##### • EventHands: Real-Time Neural 3D Hand Reconstruction from an Event Stream. [\\[PDF\\]](https://arxiv.org/pdf/2012.06475.pdf)  [\\[Project\\]](https://gvv.mpi-inf.mpg.de/projects/EventHands/)\r\n\r\n_Viktor Rudnev, Vladislav Golyanik, Jiayi Wang, Hans-Peter Seidel, Franziska Mueller, Mohamed Elgharib, Christian Theobalt_\r\n\r\n##### • Reconstructing Hand-Object Interactions in the Wild. [\\[PDF\\]](https://arxiv.org/pdf/2012.09856.pdf)  [\\[Project\\]](https://people.eecs.berkeley.edu/~zhecao/rhoi/)\r\n\r\n_Zhe Cao*, Ilija Radosavovic*, Angjoo Kanazawa, Jitendra Malik_\r\n\r\n##### • HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton. [\\[PDF\\]](https://arxiv.org/pdf/2108.05545) [\\[Code\\]](https://github.com/cwc1260/HandFold)\r\n\r\n_Wencan Cheng, Jae Hyun Park, Jong Hwan Ko_\r\n\r\n##### • H2O: Two Hands Manipulating Objects for First Person Interaction Recognition. [\\[PDF\\]](https://arxiv.org/pdf/2104.11181)  [\\[Project\\]](https://www.taeinkwon.com/projects/h2o)  [\\[Code\\]](https://github.com/taeinkwon/h2odataset)\r\n\r\n_Taein Kwon, Bugra Tekin, Jan Stuhmer, Federica Bogo, Marc Pollefeys_\r\n\r\n##### • I2UV-HandNet: Image-to-UV Prediction Network for Accurate and High-fidelity 3D Hand Mesh Modeling. [\\[PDF\\]](https://arxiv.org/pdf/2102.03725)\r\n\r\n_Ping Chen, Yujin Chen, Dong Yang, Fangyin Wu, Qin Li, Qingpei Xia, Yong Tan_\r\n\r\n##### • SemiHand: Semi-supervised Hand Pose Estimation with Consistency. [\\[PDF\\]](https://www.mu4yang.com/files/project/semihand/semihand.pdf)\r\n\r\n_Linlin Yang, Shicheng Chen, Angela Yao_\r\n\r\n##### • End-to-End Detection and Pose Estimation of Two Interacting Hands. [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2021/papers/Kim_End-to-End_Detection_and_Pose_Estimation_of_Two_Interacting_Hands_ICCV_2021_paper.pdf)\r\n\r\n_Donguk Kim, Kwang In Kim, Seungryul Baek_\r\n\r\n##### • Hand-Object Contact Consistency Reasoning for Human Grasps Generation. [\\[PDF\\]](https://arxiv.org/pdf/2104.03304) [\\[Project\\]](https://hwjiang1510.github.io/GraspTTA/) *(Oral)*\r\n\r\n_Hanwen Jiang, Shaowei Liu, Jiashun Wang, Xiaolong Wang_\r\n\r\n##### • Hand Image Understanding via Deep Multi-Task Learning. [\\[PDF\\]](https://arxiv.org/pdf/2107.11646) [\\[Code\\]](https://github.com/MandyMo/HIU-DMTL)\r\n\r\n_Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu_\r\n\r\n##### • CPF: Learning a Contact Potential Field to Model the Hand-object Interaction. [\\[PDF\\]](https://arxiv.org/pdf/2012.00924.pdf)  [\\[Code\\]](https://github.com/lixiny/CPF)\r\n\r\n_Lixin Yang, Xinyu Zhan, Kailin Li, Wenqiang Xu, Jiefeng Li, Cewu Lu_\r\n\r\n##### • TravelNet: Self-supervised Physically Plausible Hand Motion Learning from Monocular Color Images.  [\\[PDF\\]](https://www.yangangwang.com/papers/ZHAO-TRAVEL-2021-08.pdf)\r\n\r\n_Zimeng Zhao, Xi Zhao and Yangang Wang_\r\n\r\n##### • Interacting Two-Hand 3D Pose and Shape Reconstruction from Single Color Image.  [\\[PDF\\]](https://openaccess.thecvf.com/content/ICCV2021/papers/Zhang_Interacting_Two-Hand_3D_Pose_and_Shape_Reconstruction_From_Single_Color_ICCV_2021_paper.pdf) [\\[Project\\]](https://baowenz.github.io/Intershape/) [\\[Code\\]](https://github.com/BaowenZ/Two-Hand-Shape-Pose)\r\n\r\n_Baowen Zhang, Yangang Wang, Xiaoming Deng, Yinda Zhang, Ping Tan, Cuixia Ma and Hongan Wang_\r\n\r\n##### • Removing the Bias of Integral Pose Regression. [\\[PDF\\]](https://www.mu4yang.com/files/papers/Removing%20the%20Bias%20of%20Integral%20Pose%20Regression.pdf)\r\n\r\n_Kerui Gu, Linlin Yang, Angela Yao_\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n### 2021 CVPR\r\n\r\n##### • Monocular Real-time Full Body Capture with Inter-part Correlations. [\\[PDF\\]](https://arxiv.org/pdf/2012.06087)\r\n\r\n_Yuxiao Zhou, Marc Habermann, Ikhsanul Habibie, Ayush Tewari, Christian Theobalt, Feng Xu_\r\n\r\n##### • End-to-End Human Pose and Mesh Reconstruction with Transformers. [\\[PDF\\]](https://arxiv.org/pdf/2012.09760.pdf) [\\[Code\\]](https://github.com/microsoft/MeshTransformer)\r\n\r\n_Kevin Lin, Lijuan Wang, Zicheng Liu_\r\n\r\n##### • DexYCB: A Benchmark for Capturing Hand Grasping of Objects. [\\[PDF\\]](https://arxiv.org/pdf/2104.04631.pdf) [\\[Project\\]](https://dex-ycb.github.io/) [\\[Code\\]](https://github.com/NVlabs/dex-ycb-toolkit)\r\n\r\n_Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj S. Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, Dieter Fox_\r\n\r\n##### • Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics. [\\[PDF\\]](https://arxiv.org/pdf/2007.12287.pdf) [\\[Project\\]](http://people.eecs.berkeley.edu/~evonne_ng/projects/body2hands/)\r\n\r\n_Evonne Ng, Hanbyul Joo, Shiry Ginosar, Trevor Darrell_\r\n\r\n##### • Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration. [\\[PDF\\]](https://arxiv.org/pdf/2103.02845.pdf)\r\n\r\n_Xingyu Chen, Yufeng Liu, Chongyang Ma, Jianlong Chang, Huayan Wang, Tian Chen, Xiaoyan Guo, Pengfei Wan, Wen Zheng_\r\n\r\n##### • Model-based 3D Hand Reconstruction via Self-Supervised Learning. [\\[PDF\\]](https://arxiv.org/pdf/2103.11703)\r\n\r\n_Yujin Chen, Zhigang Tu, Di Kang, Linchao Bao, Ying Zhang, Xuefei Zhe, Ruizhi Chen, Junsong Yuan_\r\n\r\n##### • Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time. [\\[PDF\\]](https://arxiv.org/pdf/2106.05266.pdf) [\\[Project\\]](https://stevenlsw.github.io/Semi-Hand-Object/) [\\[Code\\]](https://github.com/stevenlsw/Semi-Hand-Object)\r\n\r\n_Shaowei Liu*, Hanwen Jiang*, Jiarui Xu, Sifei Liu, Xiaolong Wang_\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n### 2021 Others\r\n\r\n##### • [2021 3DV] A Skeleton-Driven Neural Occupancy Representation for Articulated Hands. [\\[PDF\\]](https://arxiv.org/pdf/2109.11399) [\\[Project\\]](https://korrawe.github.io/HALO/HALO.html) [\\[Code\\]](https://github.com/korrawe/halo) *(Oral)*\r\n\r\n_Korrawe Karunratanakul, Adrian Spurr, Zicong Fan, Otmar Hilliges, Siyu Tang_\r\n\r\n##### • [2021 3DV] Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation. [\\[PDF\\]](https://arxiv.org/abs/2107.00434) [\\[Project\\]](https://zc-alexfan.github.io/digit) [\\[Code\\]](https://github.com/zc-alexfan/digit-interacting) *(Oral)*\r\n\r\n_Zicong Fan, Adrian Spurr, Muhammed Kocabas, Siyu Tang, Michael J. Black, Otmar Hilliges_\r\n\r\n##### • [2021 DICTA] Semi-Supervised 3D Hand Shape and Pose Estimation with Label Propagation. [\\[PDF\\]](https://arxiv.org/pdf/2111.15199)\r\n\r\n_Samira Kaviani, Amir Rahimi, Richard Hartley_\r\n\r\n##### • [2021 BMVC] Joint-Aware Regression: Rethinking Regression-Based Method for 3D Hand Pose Estimation. \\[PDF\\]\r\n\r\n_Xiaozheng Zheng, Pengfei Ren, Haifeng Sun, Jingyu Wang, Qi Qi and Jianxin Liao_\r\n\r\n##### • [2021 BMVC] Local and Global Point Cloud Reconstruction for 3D Hand Pose Estimation. [\\[PDF\\]](https://arxiv.org/pdf/2112.06389.pdf) [\\[Data\\]](https://github.com/ShichengChen/multiviewDataset)\r\n\r\n_Ziwei Yu, Linlin Yang, Shicheng Chen and Angela Yao_\r\n\r\n##### • [2021 BMVC] HandTailor: Towards High-Precision Monocular 3D Hand Recovery. [\\[PDF\\]](https://arxiv.org/pdf/2102.09244) [\\[Code\\]](https://github.com/LyuJ1998/HandTailor)\r\n\r\n_Jun Lv, Wenqiang Xu, Lixin Yang, Sucheng Qian, Chongzhao Mao, Cewu Lu_\r\n\r\n##### • [2021 BMVC] Multi-view Image-based Hand Geometry Refinement using Differentiable Monte Carlo Ray Tracing. [\\[PDF\\]](https://arxiv.org/pdf/2107.05509)\r\n\r\n_Giorgos Karvounas, Nikolaos Kyriazis, Iason Oikonomidis, Aggeliki Tsoli, Antonis A. Argyros_\r\n\r\n##### • [2021 SIGGRAPH] ManipNet: Neural Manipulation Synthesis with a Hand-Object Spatial Representation. [\\[PDF\\]](http://www.ipab.inf.ed.ac.uk/cgvu/zhang2021.pdf)  [\\[Code\\]](https://github.com/cghezhang/ManipNet)\r\n\r\n_He Zhang, Yuting Ye, Takaaki Shiratori, Taku Komura_\r\n\r\n##### • [2021 SIGGRAPH] Single Depth View-Based Real-time Reconstruction of Hand-object Interactions. [\\[PDF\\]](http://xufeng.site/publications/2021/Single%20Depth%20View%20Based%20Real-time%20Reconstruction%20of%20Hand-objectInteractions.pdf)\r\n\r\n_Hao Zhang, Yuxiao Zhou, Yifei Tian, Jun-Hai Yong, Feng Xu_\r\n\r\n##### • [2021 IROS] Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. [\\[PDF\\]](https://arxiv.org/pdf/2109.04378)  [\\[Project\\]](http://phystouch.csail.mit.edu/)\r\n\r\n_Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba_\r\n\r\n##### • [2021 AAAI] Exploiting Learnable Joint Groups for Hand Pose Estimation. [\\[PDF\\]](https://arxiv.org/pdf/2012.09496)  [\\[Code\\]](https://github.com/moranli-aca/LearnableGroups-Hand)\r\n\r\n_Moran Li, Yuan Gao, Nong Sang_\r\n\r\n##### • [2021 WACV] Active Learning for Bayesian 3D Hand Pose Estimation. [\\[PDF\\]](https://arxiv.org/pdf/2010.00694)  [\\[Code\\]](https://github.com/razvancaramalau/al_bhpe)\r\n\r\n_Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim_\r\n\r\n##### • [2021 WACV] Two-hand Global 3D Pose Estimation Using Monocular RGB. [\\[PDF\\]](https://arxiv.org/pdf/2006.01320.pdf)  [\\[Code\\]](https://github.com/AlextheEngineer/Ego3DHands)\r\n\r\n_Fanqing Lin, Connor Wilhelm, Tony Martinez_\r\n\r\n##### • [2021 WACV] MVHM: A Large-Scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand Pose Estimation. [\\[PDF\\]](https://arxiv.org/abs/2012.03206)\r\n\r\n_Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, Xiaohui Xie_\r\n\r\n##### • [2021 WACV] Temporal-Aware Self-Supervised Learning for 3D Hand Pose and Mesh Estimation in Videos. [\\[PDF\\]](https://arxiv.org/abs/2012.03205)\r\n\r\n_Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, Xiaohui Xie_\r\n\r\n##### • [2021 PETRA] Weakly-supervised hand part segmentation from depth images. [\\[PDF\\]](https://dl.acm.org/doi/10.1145/3453892.3453902)\r\n\r\n_Mohammad Rezaei, Farnaz Farahanipad, Alex Dillhoff, Ramez Elmasri, Vassilis Athitsos_\r\n\r\n##### • [2021 PETRA] A Pipeline for Hand 2-D Keypoint Localization Using Unpaired Image to Image Translation. [\\[PDF\\]](https://dl.acm.org/doi/10.1145/3453892.3453904)\r\n\r\n_Farnaz Farahanipad, Mohammad Rezaei, Alex Dillhoff, Farhad Kamangar, Vassilis Athitsos_\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n### 2020 ECCV\r\n\r\n##### • GRAB: A Dataset of Whole-Body Human Grasping of Objects. [\\[PDF\\]](http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123490562.pdf) [\\[Project\\]](https://grab.is.tue.mpg.de/) [\\[Code\\]](https://github.com/otaheri/GrabNet)\r\n\r\n_Omid Taheri, Nima Ghorbani, Michael J. Black, Dimitrios Tzionas_\r\n\r\n##### • Monocular Expressive Body Regression through Body-Driven Attention. [\\[PDF\\]](http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123550018.pdf) [\\[Project\\]](https://expose.is.tue.mpg.de/en) [\\[Code\\]](https://github.com/vchoutas/expose)\r\n\r\n_Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitrios Tzionas , Michael J. Black_\r\n\r\n##### • The Phong Surface: Efficient 3D Model Fitting using Lifted Optimization. [\\[PDF\\]](https://arxiv.org/pdf/2007.04940) *(Oral)*\r\n\r\n_Jingjing Shen, Thomas J. Cashman, Qi Ye, Tim Hutton, Toby Sharp, Federica Bogo, Andrew William Fitzgibbon, Jamie Shotton_\r\n\r\n##### • Whole-Body Human Pose Estimation in the Wild. [\\[PDF\\]](https://arxiv.org/pdf/2007.11858.pdf) [\\[Code\\]](https://github.com/jin-s13/COCO-WholeBody)\r\n\r\n_Sheng Jin, Lumin Xu, Jin Xu, Can Wang, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo_\r\n\r\n##### • Dual Grid Net: hand mesh vertex regression from single depth maps. [\\[PDF\\]](https://arxiv.org/pdf/1907.10695.pdf)\r\n\r\n_Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao_\r\n\r\n##### • Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation. [\\[PDF\\]](http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700018.pdf)\r\n\r\n_Lin Huang, Jianchao Tan, Ji Liu, and Junsong Yuan_\r\n\r\n##### • ContactPose: A Dataset of Grasps with Object Contact and Hand Pose. [\\[PDF\\]](http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123580358.pdf)  [\\[Project\\]](https://contactpose.cc.gatech.edu/) [\\[Code\\]](https://github.com/facebookresearch/ContactPose)\r\n\r\n_Samarth Brahmbhatt, Chengcheng Tang, Chris Twigg, Charles C. Kemp, and James Hays_\r\n\r\n##### • SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation. [\\[PDF\\]](http://arxiv.org/pdf/2007.05168)\r\n\r\n_John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak_\r\n\r\n##### • HTML: A Parametric Hand Texture Model for 3D Hand Reconstruction and Personalizationm. [\\[PDF\\]](http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123560052.pdf) [\\[Project\\]](https://handtracker.mpi-inf.mpg.de/projects/HandTextureModel/)\r\n\r\n_Neng Qian, Jiayi Wang, Franziska Mueller, Florian Bernard, Vladislav Golyanik, Christian Theobalt_\r\n\r\n##### • JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image. [\\[PDF\\]](https://arxiv.org/pdf/2007.04646)  [\\[Code\\]](https://github.com/fanglinpu/JGR-P2O) *(Spotlight)*\r\n\r\n_Linpu Fang, Xingyan Liu, Li Liu, Hang Xu, Wenxiong Kang_\r\n\r\n##### • Adaptive Computationally Efficient Network for Monocular 3D Hand Pose Estimation. [\\[PDF\\]](http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123490120.pdf) *(Spotlight)*\r\n\r\n_Zhipeng Fan, Jun Liu, Yao Wang_\r\n\r\n##### • Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-Order Feature Analysis.  [\\[PDF\\]](http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123480766.pdf) *(Spotlight)*\r\n\r\n_Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot_\r\n\r\n##### • DeepHandMesh: Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling from a Single RGB Image. [\\[PDF\\]](http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123470426.pdf) [\\[Project\\]](https://mks0601.github.io/DeepHandMesh/) *(Oral)*\r\n\r\n_Gyeongsik Moon, Takaaki Shiratori, Kyoung Mu Lee_\r\n\r\n##### • InterHand2.6M: A New Large-scale Dataset and Baseline for 3D Single and Interacting Hand Pose Estimation from a Single RGB Image. [\\[PDF\\]](http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123650545.pdf) [\\[Project\\]](https://mks0601.github.io/InterHand2.6M/) \\[[Code\\]](https://github.com/facebookresearch/InterHand2.6M)\r\n\r\n_Gyeongsik Moon, Shoou-i Yu, He Wen, Takaaki Shiratori, Kyoung Mu Lee_\r\n\r\n##### • I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image. [\\[PDF\\]](https://arxiv.org/abs/2008.03713) \\[[Code\\]](https://github.com/mks0601/I2L-MeshNet_RELEASE)\r\n\r\n_Gyeongsik Moon, Kyoung Mu Lee_\r\n\r\n##### • Weakly-Supervised 3D Hand Pose Estimation via Biomechanical Constraints. [\\[PDF\\]](https://arxiv.org/pdf/2003.09282.pdf)\r\n\r\n_Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Otmar Hilliges, Jan Kautz_\r\n\r\n##### • Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction. [\\[PDF\\]](https://arxiv.org/pdf/2003.13764.pdf) \\[[Code\\]](https://github.com/anilarmagan/HANDS19-Challenge-Toolbox)\r\n\r\n_Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, Shreyas Hampali, Mahdi Rad, Zhaohui Zhang, Shipeng Xie, MingXiu Chen, Boshen Zhang, Fu Xiong, Yang Xiao, Zhiguo Cao, Junsong Yuan, Pengfei Ren, Weiting Huang, Haifeng Sun, Marek Hrúz, Jakub Kanis, Zdeněk Krňoul, Qingfu Wan, Shile Li, Linlin Yang, Dongheui Lee, Angela Yao, Weiguo Zhou, Sijia Mei, Yunhui Liu, Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Philippe Weinzaepfel, Romain Brégier, Gregory Rogez, Vincent Lepetit, Tae-Kyun Kim_\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n### 2020 CVPR\r\n\r\n##### • Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild. [\\[PDF\\]](https://arxiv.org/pdf/2004.01946.pdf) [\\[Project\\]](https://www.arielai.com/mesh_hands/)  *(Oral)* *([Paper Award Nominees](http://cvpr2020.thecvf.com/node/817))*\r\n\r\n_Dominik Kulon, Riza Alp Güler, Iasonas Kokkinos, Michael Bronstein, Stefanos Zafeiriou_\r\n\r\n##### • Weakly-supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects.  [\\[PDF\\]](http://openaccess.thecvf.com/content_CVPR_2020/papers/Baek_Weakly-Supervised_Domain_Adaptation_via_GAN_and_Mesh_Model_for_Estimating_CVPR_2020_paper.pdf) [\\[Code\\]](https://github.com/bsrvision/weak_da_hands) *(Oral)* *([Paper Award Nominees](http://cvpr2020.thecvf.com/node/817))*\r\n\r\n_Seungryul Baek, Kwang In Kim, Tae-Kyun Kim_\r\n\r\n##### • GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes. [\\[PDF\\]](http://openaccess.thecvf.com/content_CVPR_2020/papers/Corona_GanHand_Predicting_Human_Grasp_Affordances_in_Multi-Object_Scenes_CVPR_2020_paper.pdf)\r\n\r\n_Enric Corona, Albert Pumarola, Guillem Alenya, Francesc Moreno-Noguer, Gregory Rogez_\r\n\r\n##### • Cross-Modal Variational Alignment of Latent Spaces. [\\[PDF\\]](http://openaccess.thecvf.com/content_CVPRW_2020/papers/w56/Theodoridis_Cross-Modal_Variational_Alignment_of_Latent_Spaces_CVPRW_2020_paper.pdf)\r\n\r\n_Thomas Theodoridis, Theocharis Chatzis, Vassilios Solachidis, Kosmas Dimitropoulos, Petros Daras_\r\n\r\n##### • HUMBI: A Large Multiview Dataset of Human Body Expressions. [\\[PDF\\]](https://arxiv.org/pdf/1812.00281.pdf) [\\[Project\\]](https://humbi-data.net/hand/)\r\n\r\n_Zhixuan Yu\\*, Jae Shin Yoon\\*, Prashanth Venkatesh, Jaesik Park, Jihun Yu, Hyun Soo Park_\r\n\r\n##### • Epipolar Transformers. [\\[PDF\\]](https://arxiv.org/pdf/2005.04551.pdf) [\\[Code\\]](https://github.com/yihui-he/epipolar-transformers)\r\n\r\n_Yihui He\\*, Rui Yan\\*, Shoou-I Yu, Katerina Fragkiadaki_\r\n\r\n##### • HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation from a Single Depth Map. [\\[PDF\\]](https://arxiv.org/pdf/2004.01588.pdf)\r\n\r\n_Jameel Malik, Ibrahim Abdelaziz, Ahmed Elhayek, Soshi Shimada, Sk Aziz Ali, Vladislav Golyanik, Christian Theobalt, Didier Stricker_\r\n\r\n##### • Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge. [\\[PDF\\]](https://arxiv.org/pdf/2004.00176.pdf)\r\n\r\n_Long Zhao, Xi Peng, Yuxiao Chen, Mubbasir Kapadia, Dimitris N. Metaxas_\r\n\r\n##### • Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction. [\\[PDF\\]](http://arxiv.org/pdf/2004.13449.pdf) [\\[Project\\]](https://hassony2.github.io/handobjectconsist.html) [\\[Code\\]](https://github.com/hassony2/handobjectconsist)\r\n\r\n_Yana Hasson, Bugra Tekin, Federica Bogo, Ivan Laptev, Marc Pollefeys, Cordelia Schmid_\r\n\r\n##### • Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data. [\\[PDF\\]](https://arxiv.org/pdf/2003.09572.pdf) [\\[Project\\]](https://calciferzh.github.io/publications/zhou2020monocular) [\\[Code\\]](https://github.com/CalciferZh/minimal-hand)\r\n\r\n_Yuxiao Zhou, Marc Habermann, Weipeng Xu, Ikhsanul Habibie, Christian Theobalt, Feng Xu_\r\n\r\n##### • HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation. [\\[PDF\\]](http://openaccess.thecvf.com/content_CVPR_2020/papers/Doosti_HOPE-Net_A_Graph-Based_Model_for_Hand-Object_Pose_Estimation_CVPR_2020_paper.pdf) [\\[Code\\]](https://github.com/bardiadoosti/HOPE)\r\n\r\n_Bardia Doosti, Shujon Naha, David Crandall, Majid Mirbagheri_\r\n\r\n##### • HOnnotate: A method for 3D Annotation of Hand and Objects Poses. [\\[PDF\\]](https://arxiv.org/pdf/1907.01481.pdf) [\\[Project\\]](https://www.tugraz.at/institute/icg/research/team-lepetit/research-projects/hand-object-3d-pose-annotation/) [\\[Code\\]](https://github.com/shreyashampali/ho3d)\r\n\r\n_Shreyas Hampali, Mahdi Rad, Markus Oberweger, Vincent Lepetit_\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n### 2020 Others\r\n\r\n##### • [2020 ICRA] Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands . [\\[PDF\\]](https://arxiv.org/pdf/2003.03518.pdf) [\\[Code\\]](https://github.com/wenbowen123/icra20-hand-object-pose)\r\n\r\n_Bowen Wen, Chaitanya Mitash, Sruthi Soorian, Andrew Kimmel, Avishai Sintov, Kostas E. Bekris_\r\n\r\n##### • [2020 CVPRW] MediaPipe Hands: On-device Real-time Hand Tracking. [\\[PDF\\]](https://arxiv.org/pdf/2006.10214.pdf)\r\n\r\n_Fan Zhang, Valentin Bazarevsky, Andrey Vakunov, Andrei Tkachenka, George Sung, Chuo-Ling Chang, Matthias Grundmann_\r\n\r\n##### • [2020 ISMAR] 3D Hand Pose Estimation with a Single Infrared Camera via Domain Transfer Learning. [\\[PDF\\]](https://drive.google.com/file/d/1rBmsblA2YY4qDUxY4GRgrLQ0EyA3wbFs/view)\r\n\r\n_Gabyong Park, Tae-Kyun Kim, Woontack Woo_\r\n\r\n##### • [2020 ISMAR] Bare-hand Depth Inpainting for 3D Tracking of Hand Interacting with Object. [\\[PDF\\]](https://drive.google.com/file/d/1hwOATe-2Sr5CdQD98SlIYlpCAGRQ109N/view)\r\n\r\n_Woojin Cho, Gabyong Park, Woontack Woo_\r\n\r\n##### • [2020 3DV] Grasping Field: Learning Implicit Representations for Human Grasps. [\\[PDF\\]](https://arxiv.org/pdf/2008.04451.pdf) [\\[Code\\]](https://github.com/korrawe/grasping_field) *(Best Paper Award)*\r\n\r\n_Korrawe Karunratanakul, Jinlong Yang, Yan Zhang, Michael Black, Krikamol Muandet, Siyu Tang_\r\n\r\n##### • [2020 UIST] DeepFisheye: Near-Surface Multi-Finger Tracking Technology Using Fisheye Camera. [\\[PDF\\]](https://dl.acm.org/doi/abs/10.1145/3379337.3415818)  [\\[Project\\]](http://kwpark.io/deepfisheye) [\\[Code\\]](https://github.com/KAIST-HCIL/DeepFisheyeNet)\r\n\r\n_Keunwoo Park, Sunbum Kim, Youngwoo Yoon, Tae-Kyun Kim, Geehyuk Lee_\r\n\r\n##### • [2020 SIGGRAPH Asia] Constraining Dense Hand Surface Tracking With Elasticity. [\\[PDF\\]](https://research.fb.com/wp-content/uploads/2020/11/Constraining-Dense-Hand-Surface-Tracking-with-Elasticity.pdf)  [\\[Project\\]](https://research.fb.com/publications/constraining-dense-hand-surface-tracking-with-elasticity/)\r\n\r\n_Breannan Smith, Chenglei Wu, He Wen, Patrick Peluse, Yaser Sheikh, Jessica Hodgins, Takaaki Shiratori_\r\n\r\n##### • [2020 SIGGRAPH Asia] RGB2Hands: Real-Time Tracking of 3D Hand Interactions from Monocular RGB Video. [\\[PDF\\]](https://handtracker.mpi-inf.mpg.de/projects/RGB2Hands/content/RGB2Hands_author_version.pdf)  [\\[Project\\]](https://handtracker.mpi-inf.mpg.de/projects/RGB2Hands/)\r\n\r\n_Jiayi Wang, Franziska Mueller, Florian Bernard, Suzanne Sorli, Oleksandr Sotnychenko, Neng Qian, Miguel A. Otaduy, Dan Casas, and Christian Theobalt_\r\n\r\n##### • [2020 SIGGRAPH] MEgATrack: Monochrome Egocentric Articulated Hand-Tracking for Virtual Reality. [\\[PDF\\]](https://dl.acm.org/doi/abs/10.1145/3386569.3392452)\r\n\r\n_Shangchen Han, Beibei Liu, Randi Cabezas, Christopher D. Twigg, Peizhao Zhang, Jeff Petkau, Tsz-Ho Yu, Chun-Jung Tai, Muzaffer Akbay, Zheng Wang, Asaf Nitzan, Gang Dong, Yuting Ye, Lingling Tao, Chengde Wan, Robert Wang_\r\n\r\n##### • [2020 MM] MM-Hand: 3D-Aware Multi-Modal Guided Hand Generation for 3D Hand Pose Synthesis. [\\[PDF\\]](http://vllab.cs.nctu.edu.tw/images/paper/mm-wu20.pdf) [\\[Code\\]](https://github.com/ScottHoang/mm-hand)\r\n\r\n_Zhenyu Wu, Duc Hoang, Shih-Yao Lin, Yusheng Xie, Liangjian Chen, Yen-Yu Lin, Zhangyang Wang, Wei Fan_\r\n\r\n##### • [2020 MM] Adaptive Wasserstein Hourglass for Weakly Supervised Hand Pose Estimation from Monocular RGB. [\\[PDF\\]](https://arxiv.org/pdf/1909.05666.pdf)\r\n\r\n_Yumeng Zhang, Li Chen, Yufeng Liu, Junhai Yong, Wen Zheng_\r\n\r\n##### • [2020 MM] HOT-Net: Non-Autoregressive Transformer for 3D Hand-Object Pose Estimation. [\\[PDF\\]](https://cse.buffalo.edu/~jsyuan/papers/2020/lin_mm20.pdf)\r\n\r\n_Lin Huang, Jianchao Tan, Jingjing Meng, Ji Liu, and Junsong Yuan_\r\n\r\n##### • [2020 BMVC] PMD-Net: Privileged Modality Distillation Network for 3D Hand Pose Estimation from a Single RGB Image. [\\[PDF\\]](https://www.bmvc2020-conference.com/assets/papers/0413.pdf)\r\n\r\n_Kewen Wang and Xilin Chen_\r\n\r\n##### • [2020 BMVC] SIA-GCN: A Spatial Information Aware Graph Neural Network with 2D Convolutions for Hand Pose Estimation. [\\[PDF\\]](https://www.bmvc2020-conference.com/assets/papers/0066.pdf)\r\n\r\n_Deying Kong, Haoyu Ma and Xiaohui Xie_\r\n\r\n##### • [2020 BMVC] Explicit Knowledge Distillation for 3D Hand Pose Estimation from Monocular RGB. [\\[PDF\\]](https://www.bmvc2020-conference.com/assets/papers/0242.pdf)\r\n\r\n_Yumeng Zhang, Li Chen, Yufeng Liu, Wen Zheng and JunHai Yong_\r\n\r\n##### • [2020 BMVC] BiHand: Recovering Hand Mesh with Multi-stage Bisected Hourglass Networks. [\\[PDF\\]](https://arxiv.org/pdf/2008.05079.pdf) [\\[Code\\]](https://github.com/lixiny/bihand)\r\n\r\n_Lixin Yang, Jiasen Li, Wenqiang Xu, Yiqun Diao, Cewu Lu_\r\n\r\n##### • [2020 Ubicomp] FingerTrak: Continuous 3D Hand Pose Tracking by Deep Learning Hand Silhouettes Captured by Miniature Thermal Cameras on Wrist. [\\[PDF\\]](https://dl.acm.org/doi/10.1145/3397306) (*ECCV 2020 Demo Award Nominee*)\r\n\r\n_Fang Hu, Peng He, Songlin Xu, Yin Li, Cheng Zhang_\r\n\r\n##### • [2020 FG] Hand tracking from monocular RGB with dense semantic labels. [\\[PDF\\]](https://www.computer.org/csdl/pds/api/csdl/proceedings/download-article/1kecISCOYgw/pdf)\r\n\r\n_Peter Thompson, Aphrodite Galata_\r\n\r\n##### • [2020 FG] Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation. [\\[PDF\\]](https://arxiv.org/pdf/2007.03073.pdf)\r\n\r\n_Jiayi Wang, Franziska Mueller, Florian Bernard, Christian Theobalt_\r\n\r\n##### • [2020 IROS] Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning. [\\[PDF\\]](https://arxiv.org/pdf/2008.03285)\r\n\r\n_Guillermo Garcia-Hernando, Edward Johns, Tae-Kyun Kim_\r\n\r\n##### • [2020 CHI] Evaluation of Machine Learning Techniques for Hand Pose Estimation on Handheld Device with Proximity Sensor. [\\[PDF\\]](https://dl.acm.org/doi/pdf/10.1145/3313831.3376712)\r\n\r\n_Kazuyuki Arimatsu, Hideki Mori_\r\n\r\n##### • [2020 AAAI] AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation. [\\[PDF\\]](https://www.aaai.org//Papers//AAAI//2020GB//AAAI-HuangW.4059.pdf)  [\\[Code\\]](https://github.com/Elody-07/AWR-Adaptive-Weighting-Regression)\r\n\r\n_Weiting Huang, Pengfei Ren, Jingyu Wang, Qi Qi, Haifeng Sun_\r\n\r\n##### • [2020 WACV] Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation. [\\[PDF\\]](https://arxiv.org/pdf/2001.08869.pdf) [\\[Code\\]](https://github.com/HowieMa/NSRMhand)\r\n\r\n_Yifei Chen\\*, Haoyu Ma\\*, Deying Kong, Xiangyi Yan, Jianbao Wu, Wei Fan, Xiaohui Xie_\r\n\r\n##### • [2020 WACV] 3D Hand Pose Estimation with Disentangled Cross-Modal Latent Space. [\\[PDF\\]](http://openaccess.thecvf.com/content_WACV_2020/papers/Gu_3D_Hand_Pose_Estimation_with_Disentangled_Cross-Modal_Latent_Space_WACV_2020_paper.pdf)\r\n\r\n_Jiajun Gu, Zhiyong Wang, Wanli Ouyang, Weichen Zhang, Jiafeng Li, Li Zhuo_\r\n\r\n##### • [2020 WACV] DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation. [\\[PDF\\]](http://openaccess.thecvf.com/content_WACV_2020/papers/Chen_DGGAN_Depth-image_Guided_Generative_Adversarial_Networks_forDisentangling_RGB_and_Depth_WACV_2020_paper.pdf)\r\n\r\n_Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, Wei Fan, Xiaohui Xie_\r\n\r\n##### • [2020 WACV] Rotation-invariant Mixed Graphical Model Network for 2D Hand Pose Estimation. [\\[PDF\\]](http://openaccess.thecvf.com/content_WACV_2020/papers/Kong_Rotation-invariant_Mixed_Graphical_Model_Network_for_2D_Hand_Pose_Estimation_WACV_2020_paper.pdf)\r\n\r\n_Deying Kong, Haoyu Ma, Yifei Chen, Xiaohui Xie_\r\n\r\n##### • [2020 ICASSP] Weakly Supervised Segmentation Guided Hand Pose Estimation During Interaction With Unknown Objects. [\\[PDF\\]](https://ieeexplore.ieee.org/abstract/document/9053082)\r\n\r\n_Cairong Zhang, Guijin Wang, Xinghao Chen, Pengwei Xie, Toshihiko Yamasaki_\r\n\r\n##### • [2020 ICASSP] Hand-3D-Studio: A New Multi-view System for 3D Hand Reconstruction. [\\[PDF\\]](https://www.yangangwang.com/papers/ZHAO-H3D-2020-02.pdf) [\\[Project\\]](https://www.yangangwang.com/papers/ZHAO-H3S-2020-02.html)\r\n\r\n_Zhengyi Zhao, Tianyao Wang, Siyu Xia, Yangang Wang_\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n### 2019 ICCV\r\n\r\n##### • FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images. [\\[PDF\\]](https://arxiv.org/pdf/1909.04349.pdf)  [\\[Project\\]](https://lmb.informatik.uni-freiburg.de/projects/freihand/) [\\[Code\\]](https://github.com/lmb-freiburg/freihand)\r\n\r\n_Christian Zimmermann, Duygu Ceylan, Jimei Yang, Bryan Russell, Max Argus, Thomas Brox_\r\n\r\n##### • A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image. [\\[PDF\\]](https://cse.buffalo.edu/~jsyuan/papers/2019/A2J.pdf) [\\[Code\\]](https://github.com/zhangboshen/A2J)\r\n\r\n_Fu Xiong\\*, Boshen Zhang\\*, Yang Xiao, Zhiguo Cao, Taidong Yu, Joey Tianyi Zhou, and Junsong Yuan_\r\n\r\n##### • Exploiting Spatial-temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks. [\\[PDF\\]](https://cse.buffalo.edu/~jsyuan/papers/2019/Exploiting_Spatial-temporal_Relationships_for_3D_Pose_Estimation_via_Graph_Convolutional_Networks.pdf)\r\n\r\n_Yujun Cai, Liuhao Ge, Jun Liu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan, and Nadia Magnenat Thalmann_\r\n\r\n##### • Resolving 3D Human Pose Ambiguities with 3D Scene Constraints. [\\[PDF\\]](https://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/530/ICCV_2019___PROX.pdf)  [\\[Project\\]](https://prox.is.tue.mpg.de/)\r\n\r\n_Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas and Michael J. Black_\r\n\r\n##### • SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation with Semi-supervised Learning. [\\[PDF\\]](https://drive.google.com/file/d/11GJzouV6jt_aOpvrJ8l3J5x_R_-m-Lg8/view)  [\\[Code\\]](https://github.com/TerenceCYJ/SO-HandNet)\r\n\r\n_Yujin Chen, Zhigang Tu, Liuhao Ge, Dejun Zhang, Ruizhi Chen, Junsong Yuan_\r\n\r\n##### • End-to-end Hand Mesh Recovery from a Monocular RGB Image. [\\[PDF\\]](https://arxiv.org/pdf/1902.09305.pdf)  [\\[Code\\]](https://github.com/MandyMo/HAMR)\r\n\r\n_Xiong Zhang\\*, Qiang Li\\*, Wenbo Zhang, Wen Zheng_\r\n\r\n##### • Aligning Latent Spaces for 3D Hand Pose Estimation. [\\[PDF\\]](https://www.mu4yang.com/files/papers/Aligning%20Latent%20Spaces%20for%203D%20Hand%20Pose%20Estimation.pdf)\r\n\r\n_Linlin Yang\\*, Shile Li\\*, Dongheui Lee, Angela Yao_\r\n\r\n##### • [HANDS19 Workshop] Disentangling Pose from Appearance in Monochrome Hand Images. [\\[PDF\\]](https://arxiv.org/pdf/1904.07528.pdf)\r\n\r\n_Yikang Li, Chris Twigg, Yuting Ye, Lingling Tao, Xiaogang Wang_\r\n\r\n##### • [HANDS19 Workshop] RGB-based 3D Hand Pose Estimation via Privileged Learning with Depth Images. [\\[PDF\\]](https://arxiv.org/pdf/1811.07376.pdf)\r\n\r\n_Shanxin Yuan, Bjorn Stenger, Tae-Kyun Kim_\r\n\r\n##### • [HANDS19 Workshop] Explicit Pose Deformation Learning for Tracking Human Poses. [\\[PDF\\]](https://arxiv.org/pdf/1811.07123.pdf)\r\n\r\n_Xiao Sun, Chuankang Li, Stephen Lin_\r\n\r\n##### • [HANDS19 Workshop] Hand Pose Ensemble Learning based on Grouping Features of Hand Point Sets. \\[PDF\\]\r\n\r\n_Tianqiang Zhu, Yi Sun, Xiaohong Ma, Xiangbo Lin_\r\n\r\n### 2019 CVPR\r\n\r\n##### • Disentangling Latent Hands for Image Synthesis and Pose Estimation. [\\[PDF\\]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Disentangling_Latent_Hands_for_Image_Synthesis_and_Pose_Estimation_CVPR_2019_paper.pdf)\r\n\r\n_Linlin Yang, Angela Yao_\r\n\r\n##### • Point-to-Pose Voting based Hand Pose Estimation using Residual Permutation Equivariant Layer. [\\[PDF\\]](https://arxiv.org/pdf/1812.02050.pdf)\r\n\r\n_Shile Li, Dongheui Lee_\r\n\r\n##### • H•O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions. [\\[PDF\\]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Tekin_HO_Unified_Egocentric_Recognition_of_3D_Hand-Object_Poses_and_Interactions_CVPR_2019_paper.pdf)  *(Oral)*\r\n\r\n_Bugra Tekin, Federica Bogo, Marc Pollefeys_\r\n\r\n##### • Self supervised 3D hand pose estimation. [\\[PDF\\]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Wan_Self-Supervised_3D_Hand_Pose_Estimation_Through_Training_by_Fitting_CVPR_2019_paper.pdf) [\\[Code\\]](https://github.com/melonwan/sphereHand) *(Oral)* *([Best Paper Finalists](http://cvpr2019.thecvf.com/files/CVPR%202019%20-%20Welcome%20Slides%20Final.pdf))*\r\n\r\n_Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao_\r\n\r\n##### • CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation. [\\[PDF\\]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Du_CrossInfoNet_Multi-Task_Information_Sharing_Based_Hand_Pose_Estimation_CVPR_2019_paper.pdf) [\\[Code\\]](https://github.com/dumyy/handpose)\r\n\r\n_Kuo Du, Xiangbo Lin, Yi Sun, Xiaohong Ma_\r\n\r\n##### • Expressive Body Capture: 3D Hands, Face, and Body from a Single Image.  [\\[PDF\\]](https://arxiv.org/pdf/1904.05866)  [\\[Project\\]](https://smpl-x.is.tue.mpg.de/)  [\\[Code\\]](https://github.com/vchoutas/smplify-x) *(Oral)*\r\n\r\n_Georgios Pavlakos\\*, Vasileios Choutas\\*, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, Michael J. Black_\r\n\r\n##### • Learning joint reconstruction of hands and manipulated objects. [\\[PDF\\]](https://arxiv.org/pdf/1904.05767.pdf) [\\[Code\\]](https://github.com/hassony2/manopth) [\\[Code\\]](https://github.com/hassony2/obman_train) [\\[Project\\]](https://www.di.ens.fr/willow/research/obman/)\r\n\r\n_Yana Hasson, Gül Varol, Dimitris Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, and Cordelia Schmid_\r\n\r\n##### • 3D Hand Shape and Pose Estimation from a Single RGB Image. [\\[PDF\\]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Ge_3D_Hand_Shape_and_Pose_Estimation_From_a_Single_RGB_CVPR_2019_paper.pdf) [\\[Project\\]](https://sites.google.com/site/geliuhaontu/home/cvpr2019) [\\[Code\\]](https://github.com/3d-hand-shape/hand-graph-cnn) *(Oral)*\r\n\r\n_Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan_\r\n\r\n##### • 3D Hand Shape and Pose from Images in the Wild. [\\[PDF\\]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Boukhayma_3D_Hand_Shape_and_Pose_From_Images_in_the_Wild_CVPR_2019_paper.pdf)  [\\[Code\\]](https://github.com/boukhayma/3dhand) *(Oral)*\r\n\r\n_Adnane Boukhayma, Rodrigo de Bem, Philip H.S. Torr_\r\n\r\n##### • Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering. [\\[PDF\\]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Baek_Pushing_the_Envelope_for_RGB-Based_Dense_3D_Hand_Pose_Estimation_CVPR_2019_paper.pdf)\r\n\r\n_Seungryul Baek, Kwang In Kim, Tae-Kyun Kim_\r\n\r\n##### • Monocular Total Capture: Posing Face, Body, and Hands in the Wild. [\\[PDF\\]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Xiang_Monocular_Total_Capture_Posing_Face_Body_and_Hands_in_the_CVPR_2019_paper.pdf) [\\[Project\\]](http://domedb.perception.cs.cmu.edu/monototalcapture.html) [\\[Code\\]](https://github.com/CMU-Perceptual-Computing-Lab/MonocularTotalCapture) *(Oral)*\r\n\r\n_Donglai Xiang, Hanbyul Joo, Yaser Sheikh_\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n### 2019 Others\r\n\r\n##### • [2019 SIGGRAPH] Interactive Hand Pose Estimation using a Stretch-Sensing Soft Glove. [\\[PDF\\]](https://cims.nyu.edu/gcl/papers/2019-Capacitive.pdf)  [\\[Project\\]](https://igl.ethz.ch/projects/stretch-glove/)\r\n\r\n_Oliver Glauser, Shihao Wu, Daniele Panozzo, Otmar Hilliges, Olga Sorkine-Hornung_\r\n\r\n##### • [2019 SIGGRAPH] InteractionFusion: Real-time Reconstruction of Hand Poses and Deformable Objects in Hand-object Interactions. [\\[PDF\\]](https://dl.acm.org/citation.cfm?id=3322998)\r\n\r\n_Hao Zhang, Zi-Hao Bo, Jun-Hai Yong, Feng Xu_\r\n\r\n##### • [2019 SIGGRAPH] Real-time pose and shape reconstruction of two interacting hands with a single depth camera. [\\[PDF\\]](https://handtracker.mpi-inf.mpg.de/projects/TwoHands/content/TwoHands_SIGGRAPH2019.pdf) [\\[Project\\]](https://handtracker.mpi-inf.mpg.de/projects/TwoHands/)\r\n\r\n_Franziska Mueller, Micah Davis, Florian Bernard, Oleksandr Sotnychenko, Mickeal Verschoor, Miguel A. Otaduy, Dan Casas, Christian Theobalt_\r\n\r\n##### • [2019 FG] Deep Conditional Variational Estimation for Depth-Based Hand Poses. [\\[PDF\\]](https://ieeexplore.ieee.org/abstract/document/8756559)\r\n\r\n_Lu Xu, Chen Hu, Yinqi Li, Ji’an Tao, Jianru Xue, Kuizhi Mei_\r\n\r\n##### • [2019 BMVC] Unified 2D and 3D Hand Pose Estimation from a Single Visible or X-ray Image. [\\[PDF\\]](https://bmvc2019.org/wp-content/uploads/papers/0931-paper.pdf)\r\n\r\n_Akila Pemasiri, Kien Nguyen Thanh, Sridha Sridharan, Clinton Fookes_\r\n\r\n##### • [2019 BMVC] TAGAN: Tonality Aligned Generative Adversarial Networks for Realistic HandPose Synthesis. [\\[PDF\\]](https://bmvc2019.org/wp-content/uploads/papers/0408-paper.pdf)\r\n\r\n_Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Hui Tang, Yufan Xue, Xiaohui Xie, Yen-Yu Lin, Wei Fan_\r\n\r\n##### • [2019 BMVC] Single Image 3D Hand Reconstruction with Mesh Convolutions. [\\[PDF\\]](https://bmvc2019.org/wp-content/uploads/papers/0653-paper.pdf) [\\[Code\\]](https://github.com/dkulon/hand-reconstruction)\r\n\r\n_Dominik Kulon, Haoyang Wang, Riza Alp Güler, Michael Bronstein, Stefanos Zafeiriou_\r\n\r\n##### • [2019 BMVC] Adaptive Graphical Model Network for 2D Handpose Estimation. [\\[PDF\\]](https://bmvc2019.org/wp-content/uploads/papers/0907-paper.pdf)\r\n\r\n_Deying Kong, Yifei Chen, Haoyu Ma, Xiangyi Yan, Xiaohui Xie_\r\n\r\n##### • [2019 BMVC] SRN: Stacked Regression Network for Real-time 3D Hand Pose Estimation. [\\[PDF\\]](https://bmvc2019.org/wp-content/uploads/papers/0918-paper.pdf)\r\n\r\n_Pengfei Ren, Haifeng Sun, Jingyu Wang, Qi Qi, Weiting Huang_\r\n\r\n##### • [2019 BMVC] End-to-End 3D Hand Pose Estimation from Stereo Cameras. [\\[PDF\\]](https://bmvc2019.org/wp-content/uploads/papers/0219-paper.pdf)  *(Oral)*\r\n\r\n_Yuncheng Li, Zehao Xue, Yingying Wang, Liuhao Ge, Zhou Ren, Jonathan Rodriguez_\r\n\r\n##### • [2019 ACCV] Hand Pose Estimation Based on 3D Residual Network with Data Padding and Skeleton Steadying. [\\[PDF\\]](https://link.springer.com/chapter/10.1007/978-3-030-20873-8_19)\r\n\r\n_Pai-Wen Ting, En-Te Chou, Ya-Hui Tang, Li-Chen Fu_\r\n\r\n##### • [2019 ICASSP] Cascaded Point Network for 3D Hand Pose Estimation. [\\[PDF\\]](https://ieeexplore.ieee.org/abstract/document/8683356)\r\n\r\n_Yikun Dou, Xuguang Wang, Yuying Zhu, Xiaoming Deng, Cuixia Ma, Liang Chang, Hongan Wang_\r\n\r\n##### • [2019 ICASSP] A Novel Framework of Hand Localization and Hand Pose Estimation. [\\[PDF\\]](https://ieeexplore.ieee.org/abstract/document/8682382)\r\n\r\n_Yunlong Che, Yuxiang Song, Yue Qi_\r\n\r\n##### • [2019 ICRA] Vision-based Teleoperation of Shadow Dexterous Hand using End-to-End Deep Neural Network. [\\[PDF\\]](https://arxiv.org/pdf/1809.06268.pdf) [\\[Code\\]](https://github.com/TAMS-Group/TeachNet_Teleoperation)\r\n\r\n_Shuang Li\\*, Xiaojian Ma\\*, Hongzhuo Liang, Michael Görner, Philipp Ruppel, Bing Fang, Fuchun Sun, Jianwei Zhang_\r\n\r\n##### • [2019 WACV] MURAUER: Mapping Unlabeled Real Data for Label AUstERity. [\\[PDF\\]](https://poier.github.io/murauer/documents/poier2019wacv_selfpublishing.pdf) [\\[Project\\]](https://poier.github.io/murauer/) [\\[Code\\]](https://github.com/poier/murauer)\r\n\r\n_Georg Poier, Michael Opitz, David Schinagl and Horst Bischof_\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n### 2018 ECCV\r\n\r\n##### • HandMap: Robust Hand Pose Estimation via Intermediate Dense Guidance Map Supervision. [\\[PDF\\]](http://openaccess.thecvf.com/content_ECCV_2018/papers/Xiaokun_Wu_HandMap_Robust_Hand_ECCV_2018_paper.pdf)  [\\[Project\\]](https://xkunwu.github.io/research/18HandPose/18HandPose)  [\\[Code\\]](https://github.com/xkunwu/depth-hand)\r\n\r\n_Xiaokun Wu, Daniel Finnegan, Eamonn O'Neill, Yongliang Yang_\r\n\r\n##### • HBE: Hand Branch Ensemble network for real time 3D hand pose estimation.  [\\[PDF\\]](http://openaccess.thecvf.com/content_ECCV_2018/papers/Yidan_Zhou_HBE_Hand_Branch_ECCV_2018_paper.pdf)\r\n\r\n_Yidan Zhou, Jian Lu, Kuo Du, Xiangbo Lin, Yi Sun, Xiaohong Ma_\r\n\r\n##### • Point-to-Point Regression PointNet for 3D Hand Pose Estimation. [\\[PDF\\]](http://openaccess.thecvf.com/content_ECCV_2018/papers/Liuhao_Ge_Point-to-Point_Regression_PointNet_ECCV_2018_paper.pdf)\r\n\r\n_Liuhao Ge, Zhou Ren, Junsong Yuan_\r\n\r\n##### • Weakly-supervised 3D Hand Pose Estimation from Monocular RGB Images. [\\[PDF\\]](http://openaccess.thecvf.com/content_ECCV_2018/papers/Yujun_Cai_Weakly-supervised_3D_Hand_ECCV_2018_paper.pdf) *(Oral)*\r\n\r\n_Yujun Cai, Liuhao Ge, Jianfei Cai, Junsong Yuan_\r\n\r\n##### • Joint 3D tracking of a deformable object in interaction with a hand. [\\[PDF\\]](http://openaccess.thecvf.com/content_ECCV_2018/papers/Aggeliki_Tsoli_Joint_3D_tracking_ECCV_2018_paper.pdf)  [\\[Project\\]](https://www.ics.forth.gr/cvrl/deformable_interaction/)\r\n\r\n_Aggeliki Tsoli, Antonis A. Argyros_\r\n\r\n##### • Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network. [\\[PDF\\]](http://openaccess.thecvf.com/content_ECCV_2018/papers/Qi_Ye_Occlusion-aware_Hand_Pose_ECCV_2018_paper.pdf)  *(Oral)*\r\n\r\n_Qi Ye, Tae-Kyun Kim_\r\n\r\n##### • Hand Pose Estimation via Latent 2.5D Heatmap Regression. [\\[PDF\\]](http://openaccess.thecvf.com/content_ECCV_2018/papers/Umar_Iqbal_Hand_Pose_Estimation_ECCV_2018_paper.pdf)\r\n\r\n_Umar Iqbal, Pavlo Molchanov, Thomas Breuel, Juergen Gall, Jan Kautz_\r\n\r\n##### • [Hands18 Workshop] Adapting Egocentric Visual Hand Pose Estimation Towards a Robot-Controlled Exoskeleton. [\\[PDF\\]](https://link.springer.com/chapter/10.1007/978-3-030-11024-6_16)\r\n\r\n_Gerald Baulig, Thomas Gulde, Cristobal Curio_\r\n\r\n##### • [Hands18 Workshop] Estimating 2D Multi-Hand Poses From Single Depth Images. [\\[PDF\\]](https://link.springer.com/chapter/10.1007/978-3-030-11024-6_17)\r\n\r\n_Le Duan, Minmin Shen, Song Cui, Zhexiao Guo, Oliver Deussen_\r\n\r\n##### • [Hands18 Workshop] Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation. [\\[PDF\\]](https://arxiv.org/pdf/1810.01845.pdf) [\\[Project\\]](https://daphneantotsiou.github.io/task-oriented-retargeting.html)\r\n\r\n_Dafni Antotsiou, Guillermo Garcia-Hernando, Tae-Kyun Kim_\r\n\r\n[\\[back to top\\]](#contents)\r\n\r\n### 2018 CVPR\r\n\r\n##### • First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations. [\\[PDF\\]](https://arxiv.org/pdf/1704.02463.pdf) [\\[Project\\]](https://guiggh.github.io/publications/first-person-hands/)  [\\[Code\\]](https://github.com/guiggh/hand_pose_action)\r\n\r\n*Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek, Tae-Kyun Kim*\r\n\r\n##### • Learning Pose Specific Representations by Predicting Different Views. [\\[PDF\\]](https://arxiv.org/pdf/1804.03390.pdf)  [\\[Project\\]](https://poier.github.io/PreView/)  [\\[Code\\]](https://github.com/poier/PreView)\r\n\r\n_Georg Poier, David Schinagl, Horst Bischof_\r\n\r\n##### • Hand PointNet: 3D Hand Pose Estimation using Point Sets. [\\[PDF\\]](http://openaccess.thecvf.com/content_cvpr_2018/papers/Ge_Hand_PointNet_3D_CVPR_2018_paper.pdf)  [\\[Project\\]](https://sites.google.com/site/geliuhaontu/home/cvpr2018) [\\[Code\\]](https://sites.google.com/site/geliuhaontu/HandPointNet.zip?attredirects=0\u0026d=1) *(Spotlight)*\r\n\r\n_Liuhao Ge, Yujun Cai, Junwu Weng, Junsong Yuan_\r\n\r\n##### • Dense 3D Regression for Hand Pose Estimation. [\\[PDF\\]](https://arxiv.org/pdf/1711.08996.pdf)  [\\[Code\\]](https://github.com/melonwan/denseReg)\r\n\r\n_Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao_\r\n\r\n##### • Cross-modal Deep Variational Hand Pose Estimation. [\\[PDF\\]](https://arxiv.org/pdf/1803.11404) [\\[Project\\]](https://ait.ethz.ch/projects/2018/vae_hands/) [\\[Code\\]](https://github.com/spurra/vae-hands-3d) *(Spotlight)*\r\n\r\n_Adrian Spurr, Jie Song, Seonwook Park, Otmar Hilliges_\r\n\r\n##### • Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images. [\\[PDF\\]](https://arxiv.org/pdf/1712.03904.pdf)  [\\[Project\\]](https://www.tugraz.at/institute/icg/research/team-lepetit/research-projects/feature-mapping/)\r\n\r\n_Mahdi Rad, Markus Oberweger, Vincent Lepetit_\r\n\r\n##### • GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB. [\\[PDF\\]](http://handtracker.mpi-inf.mpg.de/projects/GANeratedHands/content/GANeratedHands_CVPR2018.pdf) [\\[Supp\\]](http://handtracker.mpi-inf.mpg.de/projects/GANeratedHands/content/GANeratedHands_CVPR2018_Supp.pdf) [\\[Project\\]](http://handtracker.mpi-inf.mpg.de/projects/GANeratedHands/) *(Spotlight)*\r\n\r\n_Franziska Mueller, Florian Bernard, Oleksandr Sotnychenko, Dushyant Mehta, Srinath Sridhar, Dan Casas, Christian Theobalt_\r\n\r\n##### • V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map. [\\[PDF\\]](https://arxiv.org/pdf/1711.07399.pdf) [\\[Code\\]](https://github.com/mks0601/V2V-PoseNet_RELEASE)\r\n\r\n_Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee_\r\n\r\n##### • Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals. [\\[PDF\\]](https://arxiv.org/pdf/1712.03917.pdf) *(Spotlight)","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/xinghaochen%2Fawesome-hand-pose-estimation/projects"}