└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # Collections for the 3D Human Pose Estimation 2 | 3 | This repository is trying to collect the practical model and research for 3D human pose estimation. 4 | Any more supplements are welcome :smile:. 5 | 6 | | Paper | Project URL | Github Repository | 7 | | ----- | ----------- | ----------------- | 8 | | Julieta Martinez, Rayat Hossain, Javier Romero, James J. Little. A simple yet effective baseline for 3d human pose estimation. In ICCV, 2017. https://arxiv.org/pdf/1705.03098.pdf. | None | [:link:](https://github.com/una-dinosauria/3d-pose-baseline) | 9 | | Mehta D, Sridhar S, Sotnychenko O, et al. Vnect: Real-time 3d human pose estimation with a single rgb camera[J]. ACM Transactions on Graphics (TOG), 2017, 36(4): 44. | [:link:](http://gvv.mpi-inf.mpg.de/projects/VNect/) | [:link:](https://github.com/timctho/VNect-tensorflow) (*unofficial*) | 10 | | Tome D, Russell C, Agapito L. Lifting from the deep: Convolutional 3d pose estimation from a single image[J]. CVPR 2017 Proceedings, 2017: 2500-2509. | [:link:](http://www0.cs.ucl.ac.uk/staff/D.Tome/papers/LiftingFromTheDeep.html) | [:link:](https://github.com/DenisTome/Lifting-from-the-Deep-release) | 11 | | Zhou X, Huang Q, Sun X, et al. Towards 3d human pose estimation in the wild: a weakly-supervised approach[C]//IEEE International Conference on Computer Vision. 2017. | None | [:link:](https://github.com/xingyizhou/pytorch-pose-hg-3d) | 12 | | Güler R A, Neverova N, Kokkinos I. Densepose: Dense human pose estimation in the wild[J]. arXiv preprint arXiv:1802.00434, 2018. | [:link:](http://densepose.org/) | [:link:](https://github.com/facebookresearch/DensePose) | 13 | |Pavlakos G, Zhou X, Derpanis K G, et al. Coarse-to-fine volumetric prediction for single-image 3D human pose[C]//Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on. IEEE, 2017: 1263-1272.|[:link:](https://www.seas.upenn.edu/~pavlakos/projects/volumetric/) |[:link:](https://github.com/geopavlakos/c2f-vol-demo) | 14 | |Kudo Y, Ogaki K, Matsui Y, et al. Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations[J]. arXiv preprint arXiv:1803.08244, 2018.|[:link:](https://nico-opendata.jp/en/casestudy/3dpose_gan/index.html)|[:link:](https://github.com/DwangoMediaVillage/3dpose_gan)| 15 | |Yushuke Y, Ryusuke S, Ko A, et al. Skeleton Transformer Networks: 3D Human Pose and Skinned Mesh from Single RGB Image. arXiv preprint arXiv:1812.11328.|None|None| 16 | |Dario Pavllo, Christoph Feichtenhofer, David Grangier, and Michael Auli. 3D human pose estimation in video with temporal convolutions and semi-supervised training. In Conference on Computer Vision and Pattern Recognition (CVPR), 2019. | [:link:](https://dariopavllo.github.io/VideoPose3D/)| [:link:](https://github.com/facebookresearch/VideoPose3D)| 17 | --------------------------------------------------------------------------------