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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

License: Apache License 2.0

Python 100.00%

super-resolution's Introduction

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|

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