Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation

@article{Guan2022OutofDomainHM,
  title={Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation},
  author={Shanyan Guan and Jingwei Xu and Michelle Z. He and Yunbo Wang and Bingbing Ni and Xiaokang Yang},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  year={2022},
  volume={PP}
}
We consider a new problem of adapting a human mesh reconstruction model to out-of-domain streaming videos, where the performance of existing SMPL-based models is significantly affected by the distribution shift represented by different camera parameters, bone lengths, backgrounds, and occlusions. We tackle this problem through online adaptation, gradually correcting the model bias during testing. There are two main challenges: First, the lack of 3D annotations increases the training difficulty… 
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
TLDR
A pseudoground-truth annotator based on CLIFF is proposed, which provides high-quality 3D annotations for in-the-wild 2D datasets and offers crucial full supervision for regression-based methods.

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