Data-driven physics for human soft tissue animation

@article{Kim2017DatadrivenPF,
  title={Data-driven physics for human soft tissue animation},
  author={Meekyoung Kim and Gerard Pons-Moll and Sergi Pujades and Seungbae Bang and Jinwook Kim and Michael J. Black and Sung-Hee Lee},
  journal={ACM Transactions on Graphics (TOG)},
  year={2017},
  volume={36},
  pages={1 - 12}
}
Data driven models of human poses and soft-tissue deformations can produce very realistic results, but they only model the visible surface of the human body and cannot create skin deformation due to interactions with the environment. Physical simulations can generalize to external forces, but their parameters are difficult to control. In this paper, we present a layered volumetric human body model learned from data. Our model is composed of a data-driven inner layer and a physics-based external… 

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