MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images

Shaofei Wang, Marko Mihajlovic, Qianli Ma, Andreas Geiger 0001, Siyu Tang 0001. MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 2810-2822, 2021. [doi]

@inproceedings{WangMMGT21,
  title = {MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images},
  author = {Shaofei Wang and Marko Mihajlovic and Qianli Ma and Andreas Geiger 0001 and Siyu Tang 0001},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/1680829293f2a8541efa2647a0290f88-Abstract.html},
  researchr = {https://researchr.org/publication/WangMMGT21},
  cites = {0},
  citedby = {0},
  pages = {2810-2822},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}