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

Ledig, Christian, Theis, Lucas, Huszar, Ferenc, Caballero, Jose, Cunningham, Andrew, Acosta, Alejandro, Aitken, Andrew, Tejani, Alykhan, Totz, Johannes, Wang, Zehan, Shi, Wenzhe

Open source

DOI: 10.17863/cam.51996
Published: 2017
Container: Not recorded
Publisher: IEEE
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.17863/cam.51996,
  title = {Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network},
  author = {Ledig, Christian and Theis, Lucas and Huszar, Ferenc and Caballero, Jose and Cunningham, Andrew and Acosta, Alejandro and Aitken, Andrew and Tejani, Alykhan and Totz, Johannes and Wang, Zehan and Shi, Wenzhe},
  year = {2017},
  doi = {10.17863/cam.51996},
  url = {https://doi.org/10.17863/cam.51996}
}

RIS

TY  - JOUR
TI  - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
AU  - Ledig, Christian
AU  - Theis, Lucas
AU  - Huszar, Ferenc
AU  - Caballero, Jose
AU  - Cunningham, Andrew
AU  - Acosta, Alejandro
AU  - Aitken, Andrew
AU  - Tejani, Alykhan
AU  - Totz, Johannes
AU  - Wang, Zehan
AU  - Shi, Wenzhe
PY  - 2017
DO  - 10.17863/cam.51996
UR  - https://doi.org/10.17863/cam.51996
ER  -

APA

Christian, L., Lucas, T., Ferenc, H., Jose, C., Andrew, C., Alejandro, A., Andrew, A., Alykhan, T., Johannes, T., Zehan, W., & Wenzhe, S. (2017). Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. https://doi.org/10.17863/cam.51996

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