Probabilistic Modeling for Human Mesh Recovery

@article{Kolotouros2021ProbabilisticMF,
  title={Probabilistic Modeling for Human Mesh Recovery},
  author={Nikos Kolotouros and Georgios Pavlakos and Dinesh Jayaraman and Kostas Daniilidis},
  journal={2021 IEEE/CVF International Conference on Computer Vision (ICCV)},
  year={2021},
  pages={11585-11594}
}
This paper focuses on the problem of 3D human reconstruction from 2D evidence. Although this is an inherently ambiguous problem, the majority of recent works avoid the uncertainty modeling and typically regress a single estimate for a given input. In contrast to that, in this work, we propose to embrace the reconstruction ambiguity and we recast the problem as learning a mapping from the input to a distribution of plausible 3D poses. Our approach is based on the normalizing flows model and… 

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