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Published 20 hours ago • verified publisher icon rampage644
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Replicate study for 'Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network' with tensorflow

Description

Replicate study for Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network with tensorflow.

Current state

In development and frozen. Not intended to work.

Datasets

Taken from https://github.com/jbhuang0604/SelfExSR.

Dataset Image source Download full results
Set 5 Bevilacqua et al. BMVC 2012 16.1 MB
Set 14 Zeyde et al. LNCS 2010 86.0 MB
Urban 100 Huang et al. CVPR 2015 1.14 GB
BSD 100 Martin et al. ICCV 2001 568 MB
Sun-Hays 80 Sun and Hays ICCP 2012 311 MB

Other implementations

  • https://github.com/alexjc/neural-enhance

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verified publisher icon rampage644

Metadata

Replicate study for 'Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network' with tensorflow

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