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ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network

Abstract: 

Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) is a perceptual-driven approach for single image super-resolution that is able to produce photorealistic images. Despite the visual quality of these generated images, there is still room for improvement. In this fashion, the model is extended to further improve the perceptual quality of the images. We have designed a network architecture with a novel basic block to replace the one used by the original ESRGAN. Moreover, we introduce noise inputs to the generator network in order to exploit stochastic variation. The resulting images present more realistic textures.

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Paper Details

Authors:
Submitted On:
3 June 2020 - 8:27am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Nathanaël Carraz Rakotonirina
Paper Code:
MLSP-P5.1
Document Year:
2020
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Document Files

Presentation ICASSP 2020.pdf

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[1] , "ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5450. Accessed: Jul. 09, 2020.
@article{5450-20,
url = {http://sigport.org/5450},
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publisher = {IEEE SigPort},
title = {ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network},
year = {2020} }
TY - EJOUR
T1 - ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network
AU -
PY - 2020
PB - IEEE SigPort
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. (2020). ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network. IEEE SigPort. http://sigport.org/5450
, 2020. ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network. Available at: http://sigport.org/5450.
. (2020). "ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network." Web.
1. . ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5450