awesome-human-pose-estimation
github.com/eric-erki/awesome-human-pose-estimation ↗A collection of awesome resources in Human Pose estimation.
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BasicsPapersDatasetsWorkshopsBlog postsPopular implementations
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 3d pose estimation resources from awesome-human-pose-estimation"
Installation instructions →What's inside
Papers
- 3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network3D Pose estimation
Li, S., & Chan, A.B. (ACCV 2014)
- 3D Human Pose Estimation in the Wild by Adversarial Learning3D Pose estimation
Yang, W., Ouyang, W., Wang, X., Ren, J.S., Li, H., & Wang, X. (2018)
- 3D human pose estimation in video with temporal convolutions and
semi-supervised training3D Pose estimation
Pavllo, D., Feichtenhofer, C., Grangier, D., & Auli, M (ArXiv 2018)
- Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation2D Pose estimation
Chen, Y., Shen, C., Wei, X., Liu, L., & Yang, J. (ICCV 2017)
- A Generative Model of People in ClothingPerson generation
Lassner, C., Pons-Moll, G., & Gehler, P.V. (ICCV 2017)
- A Simple Yet Effective Baseline for 3d Human Pose Estimation3D Pose estimation
Martinez, J., Hossain, R., Romero, J., & Little, J.J. (ICCV 2017)
Workshops
Popular implementations
- 3d_pose_baseline_pytorchPyTorch
- AlphaPosePyTorch
- deep-high-resolution-net.pytorchPyTorch
- DensePoseOthers
- human-pose-estimation.pytorchPyTorch
- openposeOthers
Blog posts
Showing a sample of 80 resources. View the full list on GitHub →