book chapterLecture notes in computer scienceJan 1, 2019Closed access

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Chinese University of Hong Kong · Shenzhen Institutes of Advanced Technology · +3 more institutions

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Abstract

No abstract available for this paper.

Citation impact

3,885
total citations
FWCI
488.52
Percentile
100%
References
47
Citations per year

Authors

8

Topics & keywords

Keywords
  • Computer science
  • Adversarial system
  • Generative grammar
  • Resolution (logic)
  • Generative adversarial network
  • Artificial intelligence
  • Theoretical computer science
  • Deep learning
UN Sustainable Development Goals
  • Reduced inequalities
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