{"id":13408941,"url":"https://github.com/cbsudux/awesome-human-pose-estimation","last_synced_at":"2025-05-15T10:01:53.481Z","repository":{"id":37432165,"uuid":"151448977","full_name":"cbsudux/awesome-human-pose-estimation","owner":"cbsudux","description":"A collection of awesome resources in Human Pose estimation.","archived":false,"fork":false,"pushed_at":"2022-10-12T12:34:44.000Z","size":128,"stargazers_count":2462,"open_issues_count":7,"forks_count":409,"subscribers_count":123,"default_branch":"master","last_synced_at":"2025-05-04T23:01:45.124Z","etag":null,"topics":["2d-human-pose","3d-human-pose","awesome-list","computer-vision","deep-learning","deep-learning-papers","human-pose-estimation","pose-estimation"],"latest_commit_sha":null,"homepage":null,"language":null,"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/cbsudux.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-10-03T17:01:47.000Z","updated_at":"2025-04-24T12:44:10.000Z","dependencies_parsed_at":"2023-01-19T12:18:26.498Z","dependency_job_id":null,"html_url":"https://github.com/cbsudux/awesome-human-pose-estimation","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cbsudux%2Fawesome-human-pose-estimation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cbsudux%2Fawesome-human-pose-estimation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cbsudux%2Fawesome-human-pose-estimation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cbsudux%2Fawesome-human-pose-estimation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/cbsudux","download_url":"https://codeload.github.com/cbsudux/awesome-human-pose-estimation/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254319715,"owners_count":22051072,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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"}},"keywords":["2d-human-pose","3d-human-pose","awesome-list","computer-vision","deep-learning","deep-learning-papers","human-pose-estimation","pose-estimation"],"created_at":"2024-07-30T20:00:56.756Z","updated_at":"2025-05-15T10:01:52.053Z","avatar_url":"https://github.com/cbsudux.png","language":null,"funding_links":[],"categories":["Applications","Uncategorized","Others","Related Awesome Lists","Machine Learning","Computer version","Other Lists","Related Topic","Computer Vision"],"sub_categories":["Computer Vision (CV)","Uncategorized","Surveys","JavaScript","TeX Lists","Motion prediction","Citation Visualization"],"readme":"# Awesome Human Pose Estimation [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"diagram_2.png\" width=700\u003e\n\u003c/p\u003e\n\nA collection of resources on Human Pose Estimation.\n\n## Why awesome human pose estimation?\n\nThis is a collection of papers and resources I curated when learning the ropes in Human Pose estimation. I will be continuously updating this list with the latest papers and resources. If you want to learn the basics of Human Pose Estimation and understand how the field has evolved, check out these articles I published on [2D Pose Estimation](https://blog.nanonets.com/human-pose-estimation-2d-guide/?utm_source=github\u0026utm_medium=social\u0026utm_campaign=pose\u0026utm_content=cbsudux) and [3D Pose Estimation](https://blog.nanonets.com/human-pose-estimation-3d-guide/)\n\n## Contributing\n\nIf you think I have missed out on something (or) have any suggestions (papers, implementations and other resources), feel free to [pull a request](https://github.com/cbsudux/awesome-human-pose-estimation/pulls)\n\nFeedback and contributions are welcome!\n\n## Table of Contents\n- [Basics](#basics)\n- [Papers](#papers)\n  - [2D Pose estimation](#2d-pose-estimation)\n  - [3D Pose estimation](#3d-pose-estimation)\n  - [Person generation](#person-generation)\n  - [Real-time Pose estimation](#real-time-pose-estimation)\n- [Datasets](#datasets)\n- [Workshops](#workshops) \n- [Blog posts](#blogposts)\n- [Popular implementations](#popular-implementations)\n  - [PyTorch](#pytorch)\n  - [TensorFlow](#tensorflow)\n  - [Torch](#Torch)\n  - [Others](#others)\n\n## Basics\n- [A 2019 guide to Human Pose Estimation with Deep Learning](https://blog.nanonets.com/human-pose-estimation-2d-guide/?utm_source=reddit\u0026utm_medium=social\u0026utm_campaign=pose\u0026utm_content=GROUP_NAME)\n\n\n## Papers\n\n### 2D Pose estimation\n- [Learning Human Pose Estimation Features with Convolutional Networks](https://arxiv.org/pdf/1312.7302.pdf) - Jain, A., Tompson, J., Andriluka, M., Taylor, G.W., \u0026 Bregler, C. (ICLR 2013) \n- [DeepPose: Human Pose Estimation via Deep Neural Networks](https://arxiv.org/pdf/1312.4659.pdf) - Toshev, A., \u0026 Szegedy, C. (CVPR 2014)\n- [Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation](https://arxiv.org/pdf/1406.2984.pdf) - [[CODE]](https://github.com/max-andr/joint-cnn-mrf) - Tompson, J., Jain, A., LeCun, Y., \u0026 Bregler, C. (NIPS 2014) \n- [MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation](https://arxiv.org/pdf/1409.7963.pdf) - Jain, A., Tompson, J., LeCun, Y., \u0026 Bregler, C. (ACCV 2014)\n- [Efficient Object Localization Using Convolutional Networks](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.858.5872\u0026rep=rep1\u0026type=pdf) - Tompson, J., Goroshin, R., Jain, A., LeCun, Y., \u0026 Bregler, C (CVPR 2015)\n- [Flowing ConvNets for Human Pose Estimation in Videos](https://arxiv.org/pdf/1506.02897.pdf) - [[CODE]](https://github.com/tpfister/caffe-heatmap) - Pfister, T., Charles, J., \u0026 Zisserman, A. (ICCV 2015)\n- [Convolutional Pose Machines](https://arxiv.org/pdf/1602.00134.pdf) - [[CODE]](https://github.com/shihenw/convolutional-pose-machines-release) - Wei, S., Ramakrishna, V., Kanade, T., \u0026 Sheikh, Y. (CVPR 2016)\n- [Human Pose Estimation with Iterative Error Feedback](https://arxiv.org/pdf/1507.06550.pdf)- [[CODE]](https://github.com/pulkitag/ief) Carreira, J., Agrawal, P., Fragkiadaki, K., \u0026 Malik, J. (CVPR 2016) \n- [DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation](https://arxiv.org/pdf/1511.06645.pdf) - [[CODE]](https://github.com/eldar/deepcut) - Pishchulin, L., Insafutdinov, E., Tang, S., Andres, B., Andriluka, M., Gehler, P.V., \u0026 Schiele, B. (CVPR 2016)\n- [DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model](https://arxiv.org/pdf/1605.03170.pdf) - [[CODE1]](https://github.com/eldar/deepcut-cnn)[[CODE2]](https://github.com/eldar/pose-tensorflow) - Insafutdinov, E., Pishchulin, L., Andres, B., Andriluka, M., \u0026 Schiele, B. (ECCV 2016)\n- [Stacked Hourglass Networks for Human Pose Estimation](https://arxiv.org/pdf/1603.06937.pdf) - [[CODE]](https://github.com/umich-vl/pose-hg-demo) - Newell, A., Yang, K., \u0026 Deng, J. (ECCV 2016) \n- [Multi-context Attention for Human Pose Estimation](https://arxiv.org/pdf/1702.07432.pdf) - [[CODE]](https://github.com/bearpaw/pose-attention) - Chu, X., Yang, W., Ouyang, W., Ma, C., Yuille, A.L., \u0026 Wang, X. (CVPR 2017)\n- [Towards Accurate Multi-person Pose Estimation in the Wild](https://arxiv.org/pdf/1701.01779.pdf) - [[CODE]](https://github.com/hackiey/keypoints) - Papandreou, G., Zhu, T., Kanazawa, N., Toshev, A., Tompson, J., Bregler, C., \u0026 Murphy, K.P. (CVPR 2017) \n- [Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields](https://arxiv.org/pdf/1611.08050.pdf) - [[CODE]](https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation) - Cao, Z., Simon, T., Wei, S., \u0026 Sheikh, Y. (CVPR 2017) \n- [Learning Feature Pyramids for Human Pose Estimation](https://arxiv.org/pdf/1708.01101.pdf) - [[CODE]](https://github.com/bearpaw/PyraNet) - Yang, W., Li, S., Ouyang, W., Li, H., \u0026 Wang, X. (ICCV 2017)\n- [Human Pose Estimation Using Global and Local Normalization](https://arxiv.org/pdf/1709.07220.pdf) - Sun, K., Lan, C., Xing, J., Zeng, W., Liu, D., \u0026 Wang, J. (ICCV 2017) \n- [Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation](https://arxiv.org/pdf/1705.00389.pdf) - Chen, Y., Shen, C., Wei, X., Liu, L., \u0026 Yang, J. (ICCV 2017)\n- [RMPE: Regional Multi-person Pose Estimation](https://arxiv.org/pdf/1612.00137.pdf) - [[CODE1]](https://github.com/Fang-Haoshu/RMPE)[[CODE2]](https://github.com/MVIG-SJTU/AlphaPose) - Fang, H., Xie, S., \u0026 Lu, C. (ICCV 2017)\n- [Self Adversarial Training for Human Pose Estimation](https://arxiv.org/pdf/1707.02439.pdf) - [[CODE1]](https://github.com/dongzhuoyao/jessiechouuu-adversarial-pose)[[CODE2]](https://github.com/roytseng-tw/adversarial-pose-pytorch) - Chou, C., Chien, J., \u0026 Chen, H. (ArXiv 2017)\n- [Recurrent Human Pose Estimation](https://arxiv.org/pdf/1605.02914.pdf) - [[CODE]](https://github.com/ox-vgg/keypoint_detection) - Belagiannis, V., \u0026 Zisserman, A. (FG 2017)\n- [Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation](https://arxiv.org/pdf/1705.02407.pdf) - [[CODE]](https://github.com/Guanghan/GNet-pose) Ning, G., Zhang, Z., \u0026 He, Z. (IEEE Transactions on Multimedia 2018)\n- [Human Pose Estimation with Parsing Induced Learner](http://openaccess.thecvf.com/content_cvpr_2018/papers/Nie_Human_Pose_Estimation_CVPR_2018_paper.pdf)- Xuecheng Nie, Jiashi Feng, Yiming Zuo, Shuicheng Yan (CVPR 2018)\n- [LSTM Pose Machines](https://arxiv.org/pdf/1712.06316.pdf) - [[CODE]](https://github.com/lawy623/LSTM_Pose_Machines) - Yue Luo, Jimmy Ren, Zhouxia Wang, Wenxiu Sun, Jinshan Pan, Jianbo Liu, Jiahao Pang, Liang Lin (CVPR 2018)\n- [Simple Baselines for Human Pose Estimation\nand Tracking](http://openaccess.thecvf.com/content_ECCV_2018/papers/Bin_Xiao_Simple_Baselines_for_ECCV_2018_paper.pdf) - [[CODE]](https://github.com/Microsoft/human-pose-estimation.pytorch) - Bin, Xiao, Haiping Wu, Yichen Wei (ECCV 2018)\n- [Multi-Scale Structure-Aware Network for Human Pose Estimation](http://openaccess.thecvf.com/content_ECCV_2018/papers/Lipeng_Ke_Multi-Scale_Structure-Aware_Network_ECCV_2018_paper.pdf) - Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu (ECCV 2018)\n- [Deeply Learned Compositional Models for Human Pose Estimation](http://openaccess.thecvf.com/content_ECCV_2018/papers/Wei_Tang_Deeply_Learned_Compositional_ECCV_2018_paper.pdf) - Wei Tang, Pei Yu, Ying Wu (ECCV 2018)\n- [Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose](https://arxiv.org/pdf/1811.12004.pdf) - [[CODE]](https://github.com/Daniil-Osokin/lightweight-human-pose-estimation.pytorch) Osokin, D. (ArXiv 2018)\n- [Deep High-Resolution Representation Learning for Human Pose Estimation](https://arxiv.org/abs/1902.09212) - [[CODE]](https://github.com/leoxiaobin/deep-high-resolution-net.pytorch) Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang (CVPR 2019)\n\n### 3D Pose estimation\n\n- [3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network](http://visal.cs.cityu.edu.hk/static/pubs/conf/accv14-3dposecnn.pdf) - Li, S., \u0026 Chan, A.B. (ACCV 2014)\n- [Structured Prediction of 3D Human Pose with Deep Neural Networks](https://arxiv.org/pdf/1605.05180.pdf) - Tekin, B., Katircioglu, I., Salzmann, M., Lepetit, V., \u0026 Fua, P. (BMVC 2016)\n- [VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera](http://gvv.mpi-inf.mpg.de/projects/VNect/content/VNect_SIGGRAPH2017.pdf) - [[CODE]](https://github.com/timctho/VNect-tensorflow) - Mehta, Dushyant et al. (SIGGRAPH 2017)\n- [Recurrent 3D Pose Sequence Machines](https://arxiv.org/pdf/1707.09695.pdf) - Lin, M., Lin, L., Liang, X., Wang, K., \u0026 Cheng, H. (CVPR 2017)\n- [Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image](https://arxiv.org/pdf/1701.00295.pdf) - Tomè, D., Russell, C., \u0026 Agapito, L. (CVPR 2017)\n- [Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose](https://arxiv.org/pdf/1611.07828.pdf) - [[CODE]](https://github.com/geopavlakos/c2f-vol-demo) - Pavlakos, G., Zhou, X., Derpanis, K.G., \u0026 Daniilidis, K. (CVPR 2017)\n- [Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach](https://arxiv.org/pdf/1704.02447.pdf) - [[CODE]](https://github.com/xingyizhou/Pytorch-pose-hg-3d) - Zhou, X., Huang, Q., Sun, X., Xue, X., \u0026 Wei, Y. (ICCV 2017)\n- [A Simple Yet Effective Baseline for 3d Human Pose Estimation](https://arxiv.org/pdf/1705.03098.pdf) - Martinez, J., Hossain, R., Romero, J., \u0026 Little, J.J. (ICCV 2017)\n- [Compositional Human Pose Regression](https://arxiv.org/pdf/1704.00159.pdf) - Sun, X., Shang, J., Liang, S., \u0026 Wei, Y. (ICCV 2017)\n- [Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision](http://gvv.mpi-inf.mpg.de/3dhp-dataset/) - Mehta, D., Rhodin, H., Casas, D., Fua, P., Sotnychenko, O., Xu, W., \u0026 Theobalt, C. (3DV 2017)\n- [3D Human Pose Estimation in the Wild by Adversarial Learning](https://arxiv.org/pdf/1803.09722.pdf) - Yang, W., Ouyang, W., Wang, X., Ren, J.S., Li, H., \u0026 Wang, X. (2018)\n- [DRPose3D: Depth Ranking in 3D Human Pose Estimation](https://arxiv.org/pdf/1805.08973.pdf) - Wang, M., Chen, X., Liu, W., Qian, C., Lin, L., \u0026 Ma, L. (IJCAI 2018)\n- [End-to-end Recovery of Human Shape and Pose](https://arxiv.org/pdf/1712.06584.pdf) - [[CODE]](https://github.com/akanazawa/hmr) - Kanazawa, A., Black, M.J., Jacobs, D.W., \u0026 Malik, J. (CVPR 2018)\n- [Learning to Estimate 3D Human Pose and Shape from a Single Color Image](http://openaccess.thecvf.com/content_cvpr_2018/papers/Pavlakos_Learning_to_Estimate_CVPR_2018_paper.pdf) - Pavlakos, G., Zhu, L., Zhou, X., \u0026 Daniilidis, K. (CVPR 2018)\n- [Dense Human Pose Estimation In The Wild](https://arxiv.org/pdf/1802.00434.pdf) - [[CODE]](https://github.com/facebookresearch/Densepose) - Guler, R.A., Neverova, N., \u0026 Kokkinos, I. (ArXiv 2018)\n- [Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation](https://arxiv.org/pdf/1808.05942.pdf) - [[CODE]](https://github.com/mohomran/neural_body_fitting) - Omran, Mohamed and Lassner, Christoph and Pons-Moll, Gerard and Gehler, Peter V. and Schiele, Bernt (3DV 2018)\n- [Learning 3D Human Pose from Structure and Motion](http://openaccess.thecvf.com/content_ECCV_2018/papers/Rishabh_Dabral_Learning_3D_Human_ECCV_2018_paper.pdf) - Dabral, R., Mundhada, A., Kusupati, U., Afaque, S., Sharma, A., \u0026 Jain, A. (ECCV 2018)\n- [Integral Human Pose Regression](https://arxiv.org/pdf/1711.08229.pdf) - [[CODE]](https://github.com/JimmySuen/integral-human-pose) - Sun, X., Xiao, B., Liang, S., \u0026 Wei, Y. (ECCV 2018)\n- [Dense Pose Transfer](https://arxiv.org/pdf/1809.01995.pdf) - Neverova, N., Guler, R.A., \u0026 Kokkinos, I. (ECCV 2018)\n- [Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation](http://openaccess.thecvf.com/content_ECCV_2018/papers/Helge_Rhodin_Unsupervised_Geometry-Aware_Representation_ECCV_2018_paper.pdf) - [[CODE]](https://github.com/hrhodin/UnsupervisedGeometryAwareRepresentationLearning) - Rhodin, H., Salzmann, M., \u0026 Fua, P. (ECCV 2018)\n- [BodyNet: Volumetric Inference of 3D Human Body Shapes](https://arxiv.org/pdf/1804.04875v3.pdf) - [[CODE]](https://github.com/gulvarol/bodynet) - Varol, G., Ceylan, D., Russell, B., Yang, J., Yumer, E., Laptev, I., \u0026 Schmid, C. (ECCV 2018)\n- [3D human pose estimation in video with temporal convolutions and\nsemi-supervised training](https://arxiv.org/pdf/1811.11742.pdf) - [[CODE]](https://github.com/facebookresearch/VideoPose3D) - Pavllo, D., Feichtenhofer, C., Grangier, D., \u0026 Auli, M (ArXiv 2018)\n- [Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB](https://arxiv.org/pdf/1712.03453.pdf) - [[CODE1]](http://gvv.mpi-inf.mpg.de/projects/SingleShotMultiPerson/)[[CODE2]](https://github.com/Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch) - Mehta, D.,  Sotnychenko, O., Mueller, F., Xu, W., Sridhar, S., Pons-Moll, G., Theobalt, C. (3DV 2018)\n\n\n### Person generation\n\n- [Pose Guided Person Image Generation](https://arxiv.org/pdf/1705.09368.pdf) - [[CODE]](https://github.com/charliememory/Pose-Guided-Person-Image-Generation) - Ma, L., Jia, X., Sun, Q., Schiele, B., Tuytelaars, T., \u0026 Gool, L.V. (NIPS 2017)\n- [A Generative Model of People in Clothing](https://arxiv.org/pdf/1705.04098.pdf) - Lassner, C., Pons-Moll, G., \u0026 Gehler, P.V. (ICCV 2017)\n- [Deformable GANs for Pose-based Human Image Generation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Siarohin_Deformable_GANs_for_CVPR_2018_paper.pdf) - [[CODE]](https://github.com/AliaksandrSiarohin/pose-gan) - Siarohin, A., Sangineto, E., Lathuilière, S., \u0026 Sebe, N. (CVPR 2018)\n- [Dense Pose Transfer](https://arxiv.org/pdf/1809.01995.pdf) - Neverova, N., Guler, R.A., \u0026 Kokkinos, I. (ECCV 2018)\n\n### Real-time pose estimation\n\n\n- [Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields](https://arxiv.org/pdf/1611.08050.pdf) - [[CODE]](https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation) - Cao, Z., Simon, T., Wei, S., \u0026 Sheikh, Y. (CVPR 2017) \n- [VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera](http://gvv.mpi-inf.mpg.de/projects/VNect/content/VNect_SIGGRAPH2017.pdf) - [[CODE]](https://github.com/timctho/VNect-tensorflow) - Mehta, Dushyant et al. (SIGGRAPH 2017)\n- [RMPE: Regional Multi-person Pose Estimation](https://arxiv.org/pdf/1612.00137.pdf) - [[CODE1]](https://github.com/Fang-Haoshu/RMPE)[[CODE2]](https://github.com/MVIG-SJTU/AlphaPose) - Fang, H., Xie, S., \u0026 Lu, C. (ICCV 2017)\n- [Dense Human Pose Estimation In The Wild](https://arxiv.org/pdf/1802.00434.pdf) - [[CODE]](https://github.com/facebookresearch/Densepose) - Guler, R.A., Neverova, N., \u0026 Kokkinos, I. (ArXiv 2018)\n- [Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose](https://arxiv.org/pdf/1811.12004.pdf) - [[CODE]](https://github.com/Daniil-Osokin/lightweight-human-pose-estimation.pytorch) Osokin, D. (ArXiv 2018)\n  - Extension to 3D pose estimation (based on [Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB](https://arxiv.org/pdf/1712.03453.pdf) - Mehta, D., et al.) - [[CODE]](https://github.com/Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch)\n\n\n\n\n## Datasets\n### 2D\n- [MPII Human Pose Dataset](http://human-pose.mpi-inf.mpg.de/)\n- [LSP](http://sam.johnson.io/research/lsp.html)\n- [FLIC](https://bensapp.github.io/flic-dataset.html)\n- [FLIC-plus](https://cims.nyu.edu/~tompson/flic_plus.htm)\n\n### 3D\n- [Human3.6M](http://vision.imar.ro/human3.6m/description.php)\n- [HumanEva](http://humaneva.is.tue.mpg.de/)\n- [MPI-INF-3DHP](http://gvv.mpi-inf.mpg.de/3dhp-dataset/)\n- [Unite The People](http://files.is.tuebingen.mpg.de/classner/up/)\n\n\n## Workshops\n- [POSETRACK-ECCV](https://posetrack.net/workshops/eccv2018/)\n- [3D HUMANS-CVPR 2018](https://project.inria.fr/humans2018/)\n\n\n## Blog posts\n- [Real-time Human Pose Estimation in the Browser with TensorFlow.js](https://medium.com/tensorflow/real-time-human-pose-estimation-in-the-browser-with-tensorflow-js-7dd0bc881cd5)\n- [Deep learning for human pose estimation](https://www.slideshare.net/plutoyang/mmlab-seminar-2016-deep-learning-for-human-pose-estimation)\n- [Deep Learning based Human Pose Estimation using OpenCV ( C++ / Python )](https://www.learnopencv.com/deep-learning-based-human-pose-estimation-using-opencv-cpp-python/)\n\n## Popular implementations\n\n\n### PyTorch\n- [pytorch-pose-hg-3d](https://github.com/xingyizhou/Pytorch-pose-hg-3d)\n- [3d_pose_baseline_pytorch](https://github.com/weigq/3d_pose_baseline_pytorch)\n- [pytorch_Realtime_Multi-Person_Pose_Estimation](https://github.com/tensorboy/pytorch_Realtime_Multi-Person_Pose_Estimation)\n- [AlphaPose](https://github.com/MVIG-SJTU/AlphaPose/tree/pytorch)\n- [pytorch-pose](https://github.com/bearpaw/pytorch-pose)\n- [human-pose-estimation.pytorch](https://github.com/Microsoft/human-pose-estimation.pytorch)\n- [deep-high-resolution-net.pytorch](https://github.com/leoxiaobin/deep-high-resolution-net.pytorch)\n\n### TensorFlow\n\n- [tf-pose-estimation](https://github.com/ildoonet/tf-pose-estimation)\n- [pose-tensorflow](https://github.com/eldar/pose-tensorflow)\n\n### Torch\n\n- [pose-hg-train](https://github.com/umich-vl/pose-hg-train)\n- [pose-hg-demo](https://github.com/umich-vl/pose-hg-demo)\n\n### Others\n\n- [openpose](https://github.com/CMU-Perceptual-Computing-Lab/openpose)\n- [DensePose](https://github.com/facebookresearch/DensePose)\n\n## Todo\n\n- [x] Add basics\n- [ ] Add papers on Person Re-Identification\n- [ ] Add papers on Multi Person Pose estimation\n- [ ] Add a SOTA ranking\n\n## License\n\n\u003ca rel=\"license\" href=\"http://creativecommons.org/licenses/by/4.0/\"\u003e\u003cimg alt=\"Creative Commons License\" style=\"border-width:0\" src=\"https://i.creativecommons.org/l/by/4.0/88x31.png\" /\u003e\u003c/a\u003e\u003cbr /\u003eThis work is licensed under a \u003ca rel=\"license\" href=\"http://creativecommons.org/licenses/by/4.0/\"\u003eCreative Commons Attribution 4.0 International License\u003c/a\u003e.\n\n\n\n\n\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcbsudux%2Fawesome-human-pose-estimation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcbsudux%2Fawesome-human-pose-estimation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcbsudux%2Fawesome-human-pose-estimation/lists"}