A 2019 guide to Human Pose Estimation with Deep Learning

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)

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

Wei Tang, Pei Yu, Ying Wu (ECCV 2018)

Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose

[CODE] Osokin, D. (ArXiv 2018)

Deep High-Resolution Representation Learning for Human Pose Estimation

[CODE] Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang (CVPR 2019)

3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network

Li, S., & Chan, A.B. (ACCV 2014)

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)

Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose

[CODE] - Pavlakos, G., Zhou, X., Derpanis, K.G., & Daniilidis, K. (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)

A Simple Yet Effective Baseline for 3d Human Pose Estimation

Martinez, J., Hossain, R., Romero, J., & Little, J.J. (ICCV 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. (2018)

DRPose3D: Depth Ranking in 3D Human Pose Estimation

Wang, M., Chen, X., Liu, W., Qian, C., Lin, L., & Ma, L. (IJCAI 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)

Dense Human Pose Estimation In The Wild

[CODE] - Guler, R.A., Neverova, N., & Kokkinos, I. (ArXiv 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)

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)

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)

3D human pose estimation in video with temporal convolutions and semi-supervised training

[CODE] - Pavllo, D., Feichtenhofer, C., Grangier, D., & Auli, M (ArXiv 2018)

Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB

[CODE1][CODE2] - Mehta, D., Sotnychenko, O., Mueller, F., Xu, W., Sridhar, S., Pons-Moll, G., Theobalt, C. (3DV 2018)

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)

Deformable GANs for Pose-based Human Image Generation

[CODE] - Siarohin, A., Sangineto, E., Lathuilière, S., & Sebe, N. (CVPR 2018)

Dense Pose Transfer

Neverova, N., Guler, R.A., & Kokkinos, I. (ECCV 2018)

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. (ArXiv 2018)

Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose

[CODE] Osokin, D. (ArXiv 2018)

MPII Human Pose Dataset

LSP

FLIC

FLIC-plus

Human3.6M

HumanEva

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)

Unite The People

POSETRACK-ECCV

3D HUMANS-CVPR 2018

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 implementation for 3D human pose estimation

3d_pose_baseline_pytorch

pytorch_Realtime_Multi-Person_Pose_Estimation

This is a pytorch version of Realtime_Multi-Person_Pose_Estimation, origin code is here .

AlphaPose

PyTorch based realtime and accurate pose estimation and tracking tool from SJTU.

pytorch-pose

A PyTorch toolkit for 2D Human Pose Estimation.

human-pose-estimation.pytorch

deep-high-resolution-net.pytorch

A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

tf-pose-estimation

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

pose-tensorflow

pose-hg-train

pose-hg-demo

openpose

Real-time multi-person keypoint detection library for body, face, hands, and foot estimation. Licence: permissible for non-profits and research organizations, commercial for for profit companies.

DensePose