Unsupervised Real-World Super-resolution Using Variational Auto-encoder and Generative Adversarial Network

Kalpesh Prajapati; Vishal Chudasama; Heena Patel; Kishor Upla; Kiran Raja; Raghavendra Ramachandra; Christoph Busch

doi:10.1007/978-3-030-68790-8_54

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Unsupervised Real-World Super-resolution Using Variational Auto-encoder and Generative Adversarial Network

Kalpesh Prajapati Vishal Chudasama Heena Patel Kishor Upla Kiran Raja Raghavendra Ramachandra Christoph Busch

Year: 2021 Lecture notes in computer science Pages: 703-718 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-68790-8_54

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Keywords:

Computer science Upsampling Artificial intelligence Bicubic interpolation Convolutional neural network Image (mathematics) Autoencoder Encoder Metric (unit) Pattern recognition (psychology) Network architecture Task (project management) Deep learning Linear interpolation

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Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Video Quality Assessment

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Unsupervised Real-World Super-resolution Using Variational Auto-encoder and Generative Adversarial Network

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