International Journal

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Authors

Christian Ledig, Lucas Theis, Ferenc Huszár, José Caballero, Andrew Cunningham, Alejandro Acosta, Andrew P. Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang

Journal

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

Year Published

2017

DOI

10.1109/cvpr.2017.19

Publisher

Institute of Electrical and Electronics Engineers

Citations

12110 citations

Type

Conference-Paper

Language

Topics & Concepts

Discriminator (0.82) Artificial intelligence (0.70) Computer science (0.70) Similarity (geometry) (0.55) Image (mathematics) (0.52)

Abstract

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network - Full text available via OpenAlex

Author Details

Christian Ledig

ORCID

Lucas Theis

Ferenc Huszár

ORCID

José Caballero

ORCID

Andrew Cunningham

ORCID

Alejandro Acosta

ORCID

Andrew P. Aitken

Alykhan Tejani

Johannes Totz

Zehan Wang

ORCID

... and 1 more authors

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