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  EnhanceNet: Single Image Super-Resolution through Automated Texture Synthesis

Sajjadi, M. S. M., Schölkopf, B., & Hirsch, M. (2017). EnhanceNet: Single Image Super-Resolution through Automated Texture Synthesis. In 2017 IEEE International Conference on Computer Vision (ICCV 2017) (pp. 4501-4510). Piscataway, NJ, USA: IEEE. doi:10.1109/ICCV.2017.481.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-F853-B Version Permalink: https://hdl.handle.net/21.11116/0000-0004-7DAF-C
Genre: Conference Paper

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 Creators:
Sajjadi, Mehdi S. M.1, Author           
Schölkopf, Bernhard1, Author           
Hirsch, Michael1, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
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Language(s): eng - English
 Dates: 2017-12-252017
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: SajSchHir17
DOI: 10.1109/ICCV.2017.481
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Title: IEEE International Conference on Computer Vision (ICCV 2017)
Place of Event: Venice, Italy
Start-/End Date: 2017-10-22 - 2017-10-29

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Title: 2017 IEEE International Conference on Computer Vision (ICCV 2017)
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 4501 - 4510 Identifier: ISBN: 978-1-5386-1032-9
ISSN: 2380-7504