A collection of resources on human pose related problem: mainly focus on human pose estimation, and will include mesh representation, flow calculation, kinematics, or maybe sequence learning.
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
https://github.com/xinghaochen/awesome-hand-pose-estimation https://github.com/1adrianb/face-alignment
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!
- 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 2018)
- Rethinking on Multi-Stage Networks for Human Pose Estimation - Wenbo Li, Zhicheng Wang, Binyi Yin, Qixiang Peng, Yuming Du, Tianzi Xiao, Gang Yu,Hongtao Lu, Yichen Wei, and Jian Sun (Arxiv 2018)
- CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark - [CODE] - Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Hao-Shu Fang, Cewu Lu (CVPR 2019)
- Deep High-Resolution Representation Learning for Human Pose Estimation - [CODE] - Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang (CVPR 2019)
- Human Pose Estimation with Spatial Contextual Information - Hong Zhang, Hao Ouyang, Shu Liu, Xiaojuan Qi, Xiaoyong Shen, Ruigang Yang, Jiaya Jia (Arxiv 2019)
- PoseFix: Model-agnostic General Human Pose Refinement Network - [CODE] - Moon, Gyeongsik and Chang, Juyong and Lee, Kyoung Mu (CVPR 2019)
- 3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network - Li, S., & Chan, A.B. (ACCV 2014)
- 3D Pictorial Structures for Multiple Human Pose Estimation - Vasileios Belagiannis , Sikandar Amin, Mykhaylo Andriluka,Bernt Schiele, Nassir Navab, and Slobodan Ilic (CVPR 2014)
- 3D Human pose estimation: A review of the literature and analysis of covariates (CVIU 2016)
- Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video - [CODE] - X. Zhou, M. Zhu, G. Pavlakos, S. Leonardos, K.G. Derpanis, K. Daniilidis. (CVPR 2016)
- Structured Prediction of 3D Human Pose with Deep Neural Networks - Tekin, B., Katircioglu, I., Salzmann, M., Lepetit, V., & Fua, P. (BMVC 2016)
- VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera - [CODE] - Mehta, Dushyant et al. (SIGGRAPH 2017)
- Recurrent 3D Pose Sequence Machines - Lin, M., Lin, L., Liang, X., Wang, K., & Cheng, H. (CVPR 2017)
- Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image - Tomè, D., Russell, C., & Agapito, L. (CVPR 2017)
- 3D Human Pose Estimation from a Single Image via Distance Matrix Regression - Francesc Moreno-Noguer. (CVPR 2017)
- 3D Human Pose Estimation = 2D Pose Estimation + Matching - [CODE] - Ching-Hang Chen, Deva Ramanan. (CVPR 2017)
- Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose - [CODE] - Pavlakos, G., Zhou, X., Derpanis, K.G., & Daniilidis, K. (CVPR 2017)
- LCR-Net: Localization-Classification-Regression for Human Pose - [CODE] - Grégory Rogez, Philippe Weinzaepfel, Cordelia Schmid. (CVPR 2017)
- Deep Learning on Lie Groups for Skeleton-based Action Recognition - [CODE] - Zhiwu Huang, Chengde Wan, Thomas Probst, Luc Van Gool. (CVPR 2017)
- Harvesting Multiple Views for Marker-less 3D Human Pose Annotations - [CODE] - G. Pavlakos, X. Zhou, K. Derpanis, K. Daniilidis. (CVPR 2017)
- Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach - [CODE] - Zhou, X., Huang, Q., Sun, X., Xue, X., & Wei, Y. (ICCV 2017)
- Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision - Hsiao-Yu Fish Tung. etal. (ICCV 2017)
- A Simple Yet Effective Baseline for 3d Human Pose Estimation - [CODE] - Martinez, J., Hossain, R., Romero, J., & Little, J.J. (ICCV 2017)
- Sparse Representation for 3D Shape Estimation: A Convex Relaxation Approach - [CODE] - X. Zhou, M. Zhu, S. Leonardos, K. Daniilidis. (PAMI 2017)
- Compositional Human Pose Regression - Sun, X., Shang, J., Liang, S., & Wei, Y. (ICCV 2017)
- Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision - Mehta, D., Rhodin, H., Casas, D., Fua, P., Sotnychenko, O., Xu, W., & Theobalt, C. (3DV 2017)
- 3D Human Pose Estimation in the Wild by Adversarial Learning - Yang, W., Ouyang, W., Wang, X., Ren, J.S., Li, H., & Wang, X. (CVPR 2018)
- Ordinal Depth Supervision for 3D Human Pose Estimation - [CODE] - G. Pavlakos, X. Zhou, K. Daniilidis. (CVPR 2018)
- V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation From a Single Depth Map - [CODE] - Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee. (CVPR 2018)
- DRPose3D: Depth Ranking in 3D Human Pose Estimation - Wang, M., Chen, X., Liu, W., Qian, C., Lin, L., & Ma, L. (IJCAI 2018)
- Human Motion Capture Using a Drone - X. Zhou, S. Liu, G. Pavlakos, V.J. Kumar, K. Daniilidis. (ICRA 2018)
- End-to-end Recovery of Human Shape and Pose - [CODE] - Kanazawa, A., Black, M.J., Jacobs, D.W., & Malik, J. (CVPR 2018)
- Learning to Estimate 3D Human Pose and Shape from a Single Color Image - Pavlakos, G., Zhu, L., Zhou, X., & Daniilidis, K. (CVPR 2018)
- Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes - Andrei Zanfir, Elisabeta Marinoiu, Cristian Sminchisescu. (CVPR 2018)
- Dense Human Pose Estimation In The Wild - [CODE] - Guler, R.A., Neverova, N., & Kokkinos, I. (CVPR 2018)
- Learning Monocular 3D Human Pose Estimation from Multi-View Images - Helge Rhodin, Jörg Spörri, Isinsu Katircioglu, Victor Constantin, Frédéric Meyer, Erich Müller, Mathieu Salzmann, Pascal Fua. (CVPR 2018)
- 3D Human Sensing, Action and Emotion Recognition inRobot Assisted Therapy of Children with Autism - Elisabeta Marinoiu, Mihai Zanfir, Vlad Olaru, Cristian Sminchisescu. (CVPR 2018)
- Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation - [CODE] - Omran, Mohamed and Lassner, Christoph and Pons-Moll, Gerard and Gehler, Peter V. and Schiele, Bernt (3DV 2018)
- Learning 3D Human Pose from Structure and Motion - Dabral, R., Mundhada, A., Kusupati, U., Afaque, S., Sharma, A., & Jain, A. (ECCV 2018)
- Unsupervised Learning of View-invariant Action Representations - Junnan Li.etal. (NIPS 2018)
- Deep Network for the Integrated 3D Sensing ofMultiple People in Natural Images - Andrei Zanfir.etal. (NIPS 2018)
- Integral Human Pose Regression - [CODE] - Sun, X., Xiao, B., Liang, S., & Wei, Y. (ECCV 2018)
- Dense Pose Transfer - Neverova, N., Guler, R.A., & Kokkinos, I. (ECCV 2018)
- Deformable Pose Traversal Convolutionfor 3D Action and Gesture Recognition - Junwu Weng.et.al. (ECCV 2018)
- Deep Autoencoder for Combined Human Pose Estimation and Body Model Upscaling - Matthew Trumble, Andrew Gilbert, Adrian Hilton, John Collomosse (ECCV 2018)
- Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation - [CODE] - Rhodin, H., Salzmann, M., & Fua, P. (ECCV 2018)
- BodyNet: Volumetric Inference of 3D Human Body Shapes - [CODE] - Varol, G., Ceylan, D., Russell, B., Yang, J., Yumer, E., Laptev, I., & Schmid, C. (ECCV 2018)
- Monocap: Monocular human motion capture using a CNN coupled with a geometric prior - [CODE] - X. Zhou, M. Zhu, G. Pavlakos, S. Leonardos, K.G. Derpanis, K. Daniilidis. (TPAMI 2018)
- HUMBI 1.0: HUman Multiview Behavioral Imaging Dataset (Arxiv 2018)
- Explicit Pose Deformation Learning for Tracking Human Poses - Xiao Sun, Chuankang Li, Stephen Lin (Arxiv 2018)
- 3D Human Pose Machines with Self-supervised Learning - [CODE] - Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, and Pengxu Wei. (TPAMI 2019)
- Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views - [CODE] - Junting Dong, Wen Jiang, Qixing Huang, Hujun Bao, Xiaowei Zhou. (CVPR 2019)
- Monocular Total Capture: Posing Face, Body and Hands in the Wild - [CODE] - Donglai Xiang, Hanbyul Joo, Yaser Sheikh (CVPR 2019)
- RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation - Bastian Wandt, Bodo Rosenhahn (CVPR 2019)
- Self-Supervised Learning of 3D Human Pose using Multi-view Geometry - [CODE] - Muhammed Kocabas, Salih Karagoz, Emre Akbas, (CVPR 2019)
- Neural Scene Decomposition for Multi-Person Motion Capture - Helge Rhodin, Victor Constantin, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua (CVPR 2019)
- Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments - [CODE] - Xueting Li, SIfei Liu, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz (CVPR 2019)
- Activity Forecasting. - [CODE] - Kris M. Kitani, Brian Ziebart, James D. Bagnell and Martial Hebert. (ECCV 2012)
- Action-Reaction: Forecasting the Dynamics of Human Interaction. - De-An Huang and Kris M. Kitani. (ECCV 2014)
- A deep learning framework for character motion synthesis and editing - [CODE] (TOG 2016)
- Binge Watching: Scaling Affordance Learning from Sitcoms. - [CODE] - Xiaolong Wang*, Rohit Girdhar*, and Abhinav Gupta. (CVPR 2017)
- Pose Guided Person Image Generation - [CODE] - Ma, L., Jia, X., Sun, Q., Schiele, B., Tuytelaars, T., & Gool, L.V. (NIPS 2017)
- A Generative Model of People in Clothing - Lassner, C., Pons-Moll, G., & Gehler, P.V. (ICCV 2017)
- First-Person Activity Forecasting with Online Inverse Reinforcement Learning - Nicholas Rhinehart and Kris M. Kitani. (ICCV 2017)
- Synthesizing Images of Humans in Unseen Poses - [CODE] - Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Fredo Durand, John Guttag. (CVPR 2018)
- A Variational U-Net for Conditional Appearance and Shape Generation - [CODE] - Patrick Esser, Ekaterina Sutter, Björn Ommer. (CVPR 2018)
- Deformable GANs for Pose-based Human Image Generation - [CODE] - Siarohin, A., Sangineto, E., Lathuilière, S., & Sebe, N. (CVPR 2018)
- Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks - [CODE] - Agrim Gupta, Justin Johnson, Fei-Fei Li, Silvio Savarese, Alexandre Alahi. (CVPR 2018)
- QuaterNet: A Quaternion-based Recurrent Model for Human Motion - [CODE] - Dario Pavllo, David Grangier, and Michael Auli. (BMVC 2018)
- Dense Pose Transfer - Neverova, N., Guler, R.A., & Kokkinos, I. (ECCV 2018)
- MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics - Xinchen Yan, Akash Rastogi, Ruben Villegas, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Ersin Yumer, Honglak Lee (ECCV 2018)
- Few-Shot Human Motion Prediction via Meta-Learning - Liang-Yan Gui, Yu-Xiong Wang, Deva Ramanan, and Jos ́e M. F. Moura (ECCV 2018)
- Unsupervised Learning of Object Landmarks through Conditional Image Generation - Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi (NIPS 2018)
- FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification - [CODE] - Yixiao Ge.etal. (NIPS 2018)
- Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis - Haoye Dong.etal. (NIPS 2018)
- Everybody Dance Now - Caroline Chan, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros (Arxiv 2018)
- SiCloPe: Silhouette-Based Clothed People (Arxiv 2019)
- Unpaired Pose Guided Human Image Generation - Xu Chen, Jie Song, Otmar Hilliges (Arxiv 2019)
- Peeking into the Future: Predicting Future Person Activities and Locations in Videos - Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-Fei (Arxiv 2019)
- Learning to Reconstruct People in Clothing from a Single RGB Camera - Thiemo Alldieck, Marcus Magnor, Bharat Lal Bhatnagar, Christian Theobalt, Gerard Pons-Moll (Arxiv 2019)
- Your body language may shape who you are (TED 2012)
- Generating Animated Videos of Human Activities from Natural Language Descriptions - Angela S. Lin, Lemeng Wu, Rodolfo Corona, Kevin Tai, Qixing Huang, Raymond J. Mooney (NIPS 2018)
- Pose from Flow and Flow from Pose - Katerina Fragkiadaki, Han Hu and Jianbo Shi . (CVPR 2013)
- Recurrent Network Models for Human Dynamics - Katerina Fragkiadaki, Sergey Levine, Panna Felsen, Jitendra Malik . (ICCV 2015)
- Personalizing Human Video Pose Estimation - James Charles, Tomas Pfister, Derek Magee, David Hogg, Andrew Zisserman . (CVPR 2016)
- On human motion prediction using recurrent neural networks - Julieta Martinez, Michael J. Black, and Javier Romero. (CVPR 2017)
- Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos - Jie Song, Limin Wang, Luc Van Gool, Otmar Hilliges. (CVPR 2017)
- Deep Multitask Architecture for Integrated 2D and 3D Human Sensing, - [CODE] - Alin-Ionut Popa and Mihai Zanfir and Cristian Sminchisescu. (CVPR 2017)
- Rpan: An end-to-end recurrent pose-attention network for action recognition in videos - Wenbin Du, Yali Wang, Yu Qiao. (ICCV 2017)
- Self-supervised Learning of Motion Capture - [CODE] - Hsiao-Yu Fish Tung, Hsiao-Wei Tung, Ersin Yumer, Katerina Fragkiadaki. (NIPS 2017)
- Detect-and-Track: Efficient Pose Estimation in Videos, - [CODE] - Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri and Du Tran. (CVPR 2018)
- Neural Kinematic Networks for Unsupervised Motion Retargeting, - [CODE] - Ruben Villegas, Jimei Yang, Duygu Ceylan, Honglak Lee. (CVPR 2018)
- 2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning - [CODE] - Diogo C. Luvizon, David Picard, Hedi Tabia. (CVPR 2018)
- Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition, - [CODE] - Sijie Yan, Yuanjun Xiong, and Dahua Lin. (AAAI 2018)
- QuaterNet: A Quaternion-based Recurrent Model for Human Motion - [CODE] - Dario Pavllo, David Grangier, and Michael Auli. (BMVC 2018)
- Simple Baselines for Human Pose Estimation and Tracking - [CODE] - Bin Xiao, Haiping Wu, Yichen Wei. (ECCV 2018)
- Learning 3D Human Pose from Structure and Motion - Dabral, R., Mundhada, A., Kusupati, U., Afaque, S., Sharma, A., & Jain, A. (ECCV 2018)
- Propagating LSTM: 3D Pose Estimation based on Joint Interdependency - Kyoungoh Lee, Inwoong Lee, and Sanghoon Lee. (ECCV 2018)
- Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera - Timo von Marcard, Roberto Henschel, Michael J. Black, Bodo Rosenhahn,and Gerard Pons-Moll (ECCV 2018)
- SFV: Reinforcement Learning of Physical Skills from Videos - Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, Sergey Levine. (ACM SIGGRAPH Asia 2018)
- 3D human pose estimation in video with temporal convolutions and semi-supervised training - Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli. (Arxiv 2018)
- Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies - Xiao Guo, Jongmoo Choi. (AAAI 2019)
- BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN - Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu. (AAAI 2019)
- Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction - Xiao Guo, Jongmoo Choi. (Arxiv 2019)
- Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields - [CODE] - Cao, Z., Simon, T., Wei, S., & Sheikh, Y. (CVPR 2017)
- VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera - [CODE] - Mehta, Dushyant et al. (SIGGRAPH 2017)
- RMPE: Regional Multi-person Pose Estimation - [CODE1][CODE2] - Fang, H., Xie, S., & Lu, C. (ICCV 2017)
- Dense Human Pose Estimation In The Wild - [CODE] - Guler, R.A., Neverova, N., & Kokkinos, I. (CVPR 2018)
- MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network - [CODE] - Guler, R.A., Neverova, N., & Kokkinos, I. (ECCV 2018)
- Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose - [CODE] - Osokin, D. (Arxiv 2018)
- Hand PointNet: 3D Hand Pose Estimation Using Point Sets - Liuhao Ge, Yujun Cai, Junwu Weng, Junsong Yuan (CVPR 2018)
- Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks - [CODE] - Xuepeng Shi, Shiguang Shan, Meina Kan, Shuzhe Wu, Xilin Chen (CVPR 2018)
- 3D Hand Shape and Pose from Images in the Wild - Adnane Boukhayma, Rodrigo de Bem, Philip H.S. Torr (Arxiv 2019)
- Real-time Human Pose Estimation in the Browser with TensorFlow.js
- Deep learning for human pose estimation
- Deep Learning based Human Pose Estimation using OpenCV ( C++ / Python )
- pytorch-pose-hg-3d
- pytorch_Realtime_Multi-Person_Pose_Estimation
- AlphaPose
- pytorch-pose
- human-pose-estimation.pytorch
- coco-analyze,with Miss/Jitter/Swap/Inversion
- Add basics
- Add a SOTA ranking
- Human Mesh
- Pose & Language
- Popular implementations
- Pose forecasting
This work is licensed under a Creative Commons Attribution 4.0 International License.
