Awesome Human Pose Estimation

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A collection of resources on human pose related problem: mainly focus on human pose estimation, and will include mesh representation, flow calculation, (inverse) kinematics, affordance, robotics, or sequence learning.

Why awesome human pose estimation?

This is a collection of papers and resources I curated when learning the ropes in Human Pose estimation. And This is a fork from https://github.com/cbsudux/awesome-human-pose-estimation (thanks for cbsudux) and customized for personal study and sharing. I will be continuously updating this list with the latest papers and resources. If you want some theory on Human Pose Estimation, check out Pose Related_Human_Knowledge

Related Pages:

https://github.com/xinghaochen/awesome-hand-pose-estimation https://github.com/1adrianb/face-alignment

Contributing

If you think I have missed out on something (or) have any suggestions (papers, implementations and other resources), feel free to pull a request

Feedback and contributions are welcome!

Table of Contents

• Basics
• Papers
  • 2D Pose estimation
  • 3D Pose estimation
  • Geometry
  • Group of people
  • Person generation
  • Human mesh
  • Pose And Physics-Robotics
  • Pose and Language-Speech
  • Pose and Action
  • Video pose
  • Real-time Pose estimation
  • Hand-Face Pose which is inspiring
• Datasets
• Benchmarks
• Workshops
• Blog posts
• Popular implementations
  • PyTorch
  • TensorFlow
  • Torch
  • Others

Basics

• pose_related_human_knowledge

Papers

2D Pose estimation

• Learning Human Pose Estimation Features with Convolutional Networks - Jain, A., Tompson, J., Andriluka, M., Taylor, G.W., & Bregler, C. (ICLR 2013)
• DeepPose: Human Pose Estimation via Deep Neural Networks - Toshev, A., & Szegedy, C. (CVPR 2014)
• Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation - [CODE] - Tompson, J., Jain, A., LeCun, Y., & Bregler, C. (NIPS 2014)
• MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation - Jain, A., Tompson, J., LeCun, Y., & Bregler, C. (ACCV 2014)
• Efficient Object Localization Using Convolutional Networks - Tompson, J., Goroshin, R., Jain, A., LeCun, Y., & Bregler, C (CVPR 2015)
• Flowing ConvNets for Human Pose Estimation in Videos - [CODE] - Pfister, T., Charles, J., & Zisserman, A. (ICCV 2015)
• Convolutional Pose Machines - [CODE] - Wei, S., Ramakrishna, V., Kanade, T., & Sheikh, Y. (CVPR 2016)
• Human Pose Estimation with Iterative Error Feedback- [CODE] Carreira, J., Agrawal, P., Fragkiadaki, K., & Malik, J. (CVPR 2016)
• DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation - [CODE] - Pishchulin, L., Insafutdinov, E., Tang, S., Andres, B., Andriluka, M., Gehler, P.V., & Schiele, B. (CVPR 2016)
• DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model - [CODE1][CODE2] - Insafutdinov, E., Pishchulin, L., Andres, B., Andriluka, M., & Schiele, B. (ECCV 2016)
• Stacked Hourglass Networks for Human Pose Estimation - [CODE] - Newell, A., Yang, K., & Deng, J. (ECCV 2016)
• Multi-context Attention for Human Pose Estimation - [CODE] - Chu, X., Yang, W., Ouyang, W., Ma, C., Yuille, A.L., & Wang, X. (CVPR 2017)
• Towards Accurate Multi-person Pose Estimation in the Wild - [CODE] - Papandreou, G., Zhu, T., Kanazawa, N., Toshev, A., Tompson, J., Bregler, C., & Murphy, K.P. (CVPR 2017)
• Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields - [CODE] - Cao, Z., Simon, T., Wei, S., & Sheikh, Y. (CVPR 2017)
• Learning Feature Pyramids for Human Pose Estimation - [CODE] - Yang, W., Li, S., Ouyang, W., Li, H., & Wang, X. (ICCV 2017)
• Human Pose Estimation Using Global and Local Normalization - Sun, K., Lan, C., Xing, J., Zeng, W., Liu, D., & Wang, J. (ICCV 2017)
• Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation - Chen, Y., Shen, C., Wei, X., Liu, L., & Yang, J. (ICCV 2017)
• RMPE: Regional Multi-person Pose Estimation - [CODE1][CODE2] - Fang, H., Xie, S., & Lu, C. (ICCV 2017)
• Self Adversarial Training for Human Pose Estimation - [CODE1][CODE2] - Chou, C., Chien, J., & Chen, H. (ArXiv 2017)
• Recurrent Human Pose Estimation - [CODE] - Belagiannis, V., & Zisserman, A. (FG 2017)
• Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation - [CODE] Ning, G., Zhang, Z., & He, Z. (IEEE Transactions on Multimedia 2018)
• Human Pose Estimation with Parsing Induced Learner- Xuecheng Nie, Jiashi Feng, Yiming Zuo, Shuicheng Yan (CVPR 2018)
• LSTM Pose Machines - [CODE] - Yue Luo, Jimmy Ren, Zhouxia Wang, Wenxiu Sun, Jinshan Pan, Jianbo Liu, Jiahao Pang, Liang Lin (CVPR 2018)
• Cascaded Pyramid Network for Multi-Person Pose Estimation - [CODE] - Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, Jian Sun (CVPR 2018)
• Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation - [CODE] - Peng, Xi and Tang, Zhiqiang and Yang, Fei and Feris, Rogerio S and Metaxas, Dimitris (CVPR 2018)
• Human Pose Estimation with Parsing Induced Learner - [CODE] - Xuecheng Nie, Jiashi Feng, Yiming Zuo, Shuicheng Yan (CVPR 2018)
• Through-Wall Human Pose Estimation Using Radio Signals - Mingmin Zhao,Tianhong Li, Mohammad Abu Alsheikh, Yonglong Tian, Hang Zhao, Antonio Torralba, Dina Katabi (CVPR 2018)
• Simple Baselines for Human Pose Estimation and Tracking - [CODE] - Bin, Xiao, Haiping Wu, Yichen Wei (ECCV 2018)
• Multi-Scale Structure-Aware Network for Human Pose Estimation - Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu (ECCV 2018)
• Deeply Learned Compositional Models for Human Pose Estimation - [CODE] - Wei Tang, Pei Yu, Ying Wu (ECCV 2018)
• MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network - [CODE] - Muhammed Kocabas, Salih Karagoz, Emre Akbas (ECCV 2018)
• Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose - [CODE] - Osokin, D. (Arxiv 20