Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems

Tim Meinhardt, Michael Möller 0001, Caner Hazirbas, Daniel Cremers. Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems. In IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, October 22-29, 2017. pages 1799-1808, IEEE, 2017. [doi]

@inproceedings{MeinhardtMHC17,
  title = {Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems},
  author = {Tim Meinhardt and Michael Möller 0001 and Caner Hazirbas and Daniel Cremers},
  year = {2017},
  doi = {10.1109/ICCV.2017.198},
  url = {http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.198},
  researchr = {https://researchr.org/publication/MeinhardtMHC17},
  cites = {0},
  citedby = {0},
  pages = {1799-1808},
  booktitle = {IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, October 22-29, 2017},
  publisher = {IEEE},
  isbn = {978-1-5386-1032-9},
}