Leveraging MoCap Data for Human Mesh Recovery

@article{Baradel2021LeveragingMD,
  title={Leveraging MoCap Data for Human Mesh Recovery},
  author={Fabien Baradel and Thibault Groueix and Philippe Weinzaepfel and Romain Br'egier and Yannis Kalantidis and Gr{\'e}gory Rogez},
  journal={2021 International Conference on 3D Vision (3DV)},
  year={2021},
  pages={586-595}
}
Training state-of-the-art models for human body pose and shape recovery from images or videos requires datasets with corresponding annotations that are really hard and expensive to obtain. Our goal in this paper is to study whether poses from 3D Motion Capture (MoCap) data can be used to improve image-based and video-based human mesh recovery methods. We find that fine-tune image-based models with synthetic renderings from MoCap data can increase their performance, by providing them with a… 

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