Introduction
Super resolution (SR) is some task in which the input is a low resolution image or blur image and a high resolution or deblur image is required to output. Some researchers solve the problem using deep learning based method. For the super resolution scenario, it could be divided in to single image SR (SISR), multiple frame images SR (MISR) and video SR.
SISR
Survey
Deep Learning for Single Image Super-Resolution: A Brief Review
SRCNN / FSRCNN
Accurate Image Super-Resolution Using Very Deep Convolutional Networks (VDSR)
Paper link
on CVPR 2016 oral
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network (ESPCN)
Paper link
on CVPR 2016
Enhanced Deep Residual Networks for Single Image Super-Resolution (EDSR/MDSR)
Paper link
Code
on CVPR 2017