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  Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring

Dong, J., Roth, S., & Schiele, B. (2020). Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring. In H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, & H. Lin (Eds.), Advances in Neural Information Processing Systems 33. Curran Associates, Inc.

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Genre: Conference Paper
Latex : Deep {Wiener} Deconvolution: {Wiener} Meets Deep Learning for Image Deblurring

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 Creators:
Dong, Jiangxin1, Author           
Roth, Stefan2, Author
Schiele, Bernt1, Author           
Affiliations:
1Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2020
 Publication Status: Published online
 Pages: 12 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Dong_NeurIPS20
 Degree: -

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Title: 34th Conference on Neural Information Processing Systems
Place of Event: Virtual Event
Start-/End Date: 2020-12-06 - 2020-12-12

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Title: Advances in Neural Information Processing Systems 33
  Abbreviation : NeurIPS 2020
  Other : 34th Conference on Neural Information Processing Systems
Source Genre: Proceedings
 Creator(s):
Larochelle, H.1, Editor
Ranzato, M.1, Editor
Hadsell, R.1, Editor
Balcan, M. F.1, Editor
Lin, H.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Curran Associates, Inc.
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -