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  OASIS: Only Adversarial Supervision for Semantic Image Synthesis

Sushko, V., Schönfeld, E., Zhang, D., Gall, J., Schiele, B., & Khoreva, A. (2022). OASIS: Only Adversarial Supervision for Semantic Image Synthesis. International Journal of Computer Vision, 130, 2903-2923. doi:10.1007/s11263-022-01673-x.

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Genre: Journal Article
Latex : OASIS: {Only Adversarial Supervision for Semantic Image Synthesis}

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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
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 Creators:
Sushko, Vadim1, Author
Schönfeld, Edgar1, Author
Zhang, Dan1, Author
Gall, Jürgen1, Author           
Schiele, Bernt2, Author                 
Khoreva, Anna1, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              

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Language(s): eng - English
 Dates: 2022
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Sushko22
DOI: 10.1007/s11263-022-01673-x
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Project name : FORHUE
Grant ID : 101044724
Funding program : Horizon Europe (HE)
Funding organization : European Commission (EC)

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Title: International Journal of Computer Vision
  Other : Int. J. Comput. Vis.
Source Genre: Journal
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Publ. Info: New York, NA : Springer
Pages: - Volume / Issue: 130 Sequence Number: - Start / End Page: 2903 - 2923 Identifier: ISSN: 0920-5691
CoNE: https://pure.mpg.de/cone/journals/resource/954925564668