A collection of resources on Human Pose Estimation.
This 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. I will also be adding a detailed wiki that covers the basics of human pose estimation soon.
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)
- 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)
- 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)
- 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 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 )
This work is licensed under a Creative Commons Attribution 4.0 International License.
