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Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera

Zhengdi Yu · Stefanos Zafeiriou · Tolga Birdal

Imperial College London

Wild GIF Global GIF


We propose Dyn-HaMR to reconstruct 4D global hand motion from monocular videos recorded by dynamic cameras in the wild, as a remedy for the motion entanglement in the wild.

News 🚩

  • [2024/12/18] Paper is now available. ⭐

Citation

@article{yu2024dyn,
  title={Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera},
  author={Yu, Zhengdi and Zafeiriou, Stefanos and Birdal, Tolga},
  journal={arXiv preprint arXiv:2412.12861},
  year={2024}
}

Contact

For technical questions, please contact z.yu23@imperial.ac.uk or ZhengdiYu@hotmail.com .