Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images

Magauiya Zhussip, Shakarim Soltanayev, Se Young Chun. Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 1463-1473, 2019. [doi]

@inproceedings{ZhussipSC19-0,
  title = {Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images},
  author = {Magauiya Zhussip and Shakarim Soltanayev and Se Young Chun},
  year = {2019},
  url = {http://papers.nips.cc/paper/8426-extending-steins-unbiased-risk-estimator-to-train-deep-denoisers-with-correlated-pairs-of-noisy-images},
  researchr = {https://researchr.org/publication/ZhussipSC19-0},
  cites = {0},
  citedby = {0},
  pages = {1463-1473},
  booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
  editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}