3D Human Pose Estimation via Intuitive Physics

Author:

Tripathi Shashank1,Müller Lea1,Huang Chun-Hao P.1,Taheri Omid1,Black Michael J.1,Tzionas Dimitrios2

Affiliation:

1. Max Planck Institute for Intelligent Systems,Tübingen,Germany

2. University of Amsterdam,the Netherlands

Funder

German Federal Ministry of Education and Research (BMBF)

Publisher

IEEE

Reference110 articles.

1. VNect

2. Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision

3. On Self-Contact and Human Pose

4. I2L-MeshNet: Image-to-lixel prediction network for accurate 3D human pose and mesh estimation from a single RGB image;moon;European Conference on Computer Vision (ECCV),0

5. Microsoft COCO: Common objects in context;lin;European Conference on Computer Vision (ECCV),0

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1. InterCap: Joint Markerless 3D Tracking of Humans and Objects in Interaction from Multi-view RGB-D Images;International Journal of Computer Vision;2024-02-06

2. A Systematic Review of Recent Deep Learning Approaches for 3D Human Pose Estimation;Journal of Imaging;2023-12-12

3. From Skin to Skeleton: Towards Biomechanically Accurate 3D Digital Humans;ACM Transactions on Graphics;2023-12-05

4. Recovering 3D Human Mesh From Monocular Images: A Survey;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-12

5. GraMMaR: Ground-aware Motion Model for 3D Human Motion Reconstruction;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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