Deep Unfolding Network for Image Super-Resolution

Learning-based single image super-resolution (SISR) methods are continuously showing superior effectiveness and efficiency over traditional model-based methods, largely due to the end-to-end training. However, different from model-based methods that can handle the SISR problem with different scale f...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 3214 - 3223
Main Authors:	Zhang, Kai, Van Gool, Luc, Timofte, Radu
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.01.2020
Subjects:	Computational modeling Degradation Image resolution Inference algorithms Kernel Learning systems Noise level
ISSN:	1063-6919
Online Access:	Get full text
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