Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

awesome-human-pose-estimation

https://github.com/stevenzhou2017/awesome-human-pose-estimation

2D Pose Estimation - pose-estimation-3d-guide/)
pull a request
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]](https://github.com/max-andr/joint-cnn-mrf) - 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]](https://github.com/tpfister/caffe-heatmap) - Pfister, T., Charles, J., & Zisserman, A. (ICCV 2015)
Convolutional Pose Machines - [[CODE]](https://github.com/shihenw/convolutional-pose-machines-release) - Wei, S., Ramakrishna, V., Kanade, T., & Sheikh, Y. (CVPR 2016)
Human Pose Estimation with Iterative Error Feedback - [[CODE]](https://github.com/pulkitag/ief) Carreira, J., Agrawal, P., Fragkiadaki, K., & Malik, J. (CVPR 2016)
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation - [[CODE]](https://github.com/eldar/deepcut) - 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]](https://github.com/eldar/deepcut-cnn)[[CODE2]](https://github.com/eldar/pose-tensorflow) - Insafutdinov, E., Pishchulin, L., Andres, B., Andriluka, M., & Schiele, B. (ECCV 2016)
Stacked Hourglass Networks for Human Pose Estimation - [[CODE]](https://github.com/umich-vl/pose-hg-demo) - Newell, A., Yang, K., & Deng, J. (ECCV 2016)
Multi-context Attention for Human Pose Estimation - [[CODE]](https://github.com/bearpaw/pose-attention) - 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]](https://github.com/hackiey/keypoints) - 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]](https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation) - Cao, Z., Simon, T., Wei, S., & Sheikh, Y. (CVPR 2017)
Learning Feature Pyramids for Human Pose Estimation - [[CODE]](https://github.com/bearpaw/PyraNet) - 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]](https://github.com/Fang-Haoshu/RMPE)[[CODE2]](https://github.com/MVIG-SJTU/AlphaPose) - Fang, H., Xie, S., & Lu, C. (ICCV 2017)
Self Adversarial Training for Human Pose Estimation - [[CODE1]](https://github.com/dongzhuoyao/jessiechouuu-adversarial-pose)[[CODE2]](https://github.com/roytseng-tw/adversarial-pose-pytorch) - Chou, C., Chien, J., & Chen, H. (ArXiv 2017)
Recurrent Human Pose Estimation - [[CODE]](https://github.com/ox-vgg/keypoint_detection) - Belagiannis, V., & Zisserman, A. (FG 2017)
Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation - [[CODE]](https://github.com/Guanghan/GNet-pose) 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]](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)
- [[CODE]](https://github.com/Microsoft/human-pose-estimation.pytorch) - 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]](https://github.com/Daniil-Osokin/lightweight-human-pose-estimation.pytorch) Osokin, D. (ArXiv 2018)
Deep High-Resolution Representation Learning for Human Pose Estimation - [[CODE]](https://github.com/leoxiaobin/deep-high-resolution-net.pytorch) 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]](https://github.com/timctho/VNect-tensorflow) - 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]](https://github.com/geopavlakos/c2f-vol-demo) - Pavlakos, G., Zhou, X., Derpanis, K.G., & Daniilidis, K. (CVPR 2017)
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach - [[CODE]](https://github.com/xingyizhou/Pytorch-pose-hg-3d) - 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]](https://github.com/akanazawa/hmr) - 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]](https://github.com/facebookresearch/Densepose) - Guler, R.A., Neverova, N., & Kokkinos, I. (ArXiv 2018)
Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation - [[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)
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]](https://github.com/JimmySuen/integral-human-pose) - 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]](https://github.com/hrhodin/UnsupervisedGeometryAwareRepresentationLearning) - Rhodin, H., Salzmann, M., & Fua, P. (ECCV 2018)
BodyNet: Volumetric Inference of 3D Human Body Shapes - [[CODE]](https://github.com/gulvarol/bodynet) - Varol, G., Ceylan, D., Russell, B., Yang, J., Yumer, E., Laptev, I., & Schmid, C. (ECCV 2018)
- [[CODE]](https://github.com/facebookresearch/VideoPose3D) - Pavllo, D., Feichtenhofer, C., Grangier, D., & Auli, M (ArXiv 2018)
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB - [[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)
Pose Guided Person Image Generation - [[CODE]](https://github.com/charliememory/Pose-Guided-Person-Image-Generation) - 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]](https://github.com/AliaksandrSiarohin/pose-gan) - 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]](https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation) - Cao, Z., Simon, T., Wei, S., & Sheikh, Y. (CVPR 2017)
VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera - [[CODE]](https://github.com/timctho/VNect-tensorflow) - Mehta, Dushyant et al. (SIGGRAPH 2017)
RMPE: Regional Multi-person Pose Estimation - [[CODE1]](https://github.com/Fang-Haoshu/RMPE)[[CODE2]](https://github.com/MVIG-SJTU/AlphaPose) - Fang, H., Xie, S., & Lu, C. (ICCV 2017)
Dense Human Pose Estimation In The Wild - [[CODE]](https://github.com/facebookresearch/Densepose) - Guler, R.A., Neverova, N., & Kokkinos, I. (ArXiv 2018)
Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose - [[CODE]](https://github.com/Daniil-Osokin/lightweight-human-pose-estimation.pytorch) Osokin, D. (ArXiv 2018)
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB - Mehta, D., et al.) - [[CODE]](https://github.com/Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch)
MPII Human Pose Dataset
LSP
FLIC
FLIC-plus
Human3.6M
HumanEva
MPI-INF-3DHP
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
3d_pose_baseline_pytorch
pytorch_Realtime_Multi-Person_Pose_Estimation
AlphaPose
pytorch-pose
human-pose-estimation.pytorch
deep-high-resolution-net.pytorch
tf-pose-estimation
pose-tensorflow
pose-hg-train
pose-hg-demo
openpose
DensePose

Programming Languages

Python 4 C++ 2 Jupyter Notebook 1 Cuda 1

Keywords

pose-estimation 4 human-pose-estimation 4 deep-learning 4 mpii-dataset 3 mscoco-keypoint 3 computer-vision 2 pytorch 2 pose 2 coco-keypoints-detection 2 3d-pose-estimation 1 hourglass-network 1 deep-high-resolution-net 1 high-resolution-net 1 mpii 1 tensorflow 1 caffe 1 cpp 1 cvpr-2017 1 face 1 foot-estimation 1 hand-estimation 1 human-behavior-understanding 1 human-pose 1 keypoint-detection 1 keypoints 1 machine-learning 1 multi-person 1 opencv 1 openpose 1 real-time 1