Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder

Zhi-Song Liu; Wan-Chi Siu; Li-Wen Wang; Chu-Tak Li; Marie-Paule Cani; Yui‐Lam Chan

doi:10.1109/cvprw50498.2020.00229

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JOURNAL ARTICLE

Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder

Zhi-Song Liu Wan-Chi Siu Li-Wen Wang Chu-Tak Li Marie-Paule Cani Yui‐Lam Chan

Year: 2020 Pages: 1788-1797

DOI: 10.1109/cvprw50498.2020.00229

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Abstract

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 14-19 June 2020, Seattle, WA, USA

Keywords:

Artificial intelligence Autoencoder Computer science Discriminator Pattern recognition (psychology) Computer vision Feature (linguistics) Image (mathematics) Convolutional neural network Deep learning

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Topics

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder

Abstract

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Citation History

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