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3DPW

3D human pose and mesh estimation, the task of recon-structing human pose in 3D space given a 2D image of the person, is an ill-posed problem, and many data-driven ap-proaches using deep learning were recently proposed (Liu, Kortylewski, and Yuille 2023; Gholami et al. 2022a; Li et al. 2022). A dataset covering the distribution of possible human poses, global orientation, appearance, and other attributes would be large and difficult to capture in practice.

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Cite this as

Mohsen Gholami, Rabab Ward, Z. Jane Wang (2024). Dataset: 3DPW. https://doi.org/10.57702/ftenjlve

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Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2405.07407
Citation
  • https://doi.org/10.48550/arXiv.2312.14915
  • https://doi.org/10.48550/arXiv.2405.19833
  • https://doi.org/10.48550/arXiv.2208.10652
  • https://doi.org/10.48550/arXiv.2012.09843
  • https://doi.org/10.48550/arXiv.2403.09050
  • https://doi.org/10.48550/arXiv.2309.04840
  • https://doi.org/10.48550/arXiv.2105.09711
  • https://doi.org/10.48550/arXiv.2304.04875
  • https://doi.org/10.48550/arXiv.2104.05015
  • https://doi.org/10.48550/arXiv.2007.11755
Author Mohsen Gholami
More Authors
Rabab Ward
Z. Jane Wang
Homepage https://www.3dpw.org/