MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction

Ayush Tewari, Michael Zollhöfer, Hyeongwoo Kim, Pablo Garrido 0001, Florian Bernard, Patrick Pérez, Christian Theobalt. MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction. In IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, October 22-29, 2017. pages 3735-3744, IEEE, 2017. [doi]

@inproceedings{TewariZK0BPT17,
  title = {MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction},
  author = {Ayush Tewari and Michael Zollhöfer and Hyeongwoo Kim and Pablo Garrido 0001 and Florian Bernard and Patrick Pérez and Christian Theobalt},
  year = {2017},
  doi = {10.1109/ICCV.2017.401},
  url = {http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.401},
  researchr = {https://researchr.org/publication/TewariZK0BPT17},
  cites = {0},
  citedby = {0},
  pages = {3735-3744},
  booktitle = {IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, October 22-29, 2017},
  publisher = {IEEE},
  isbn = {978-1-5386-1032-9},
}