/super-resolution

Implementation of Super Resolution in Pytorch

Primary LanguagePython

Super Resolution

This is an implementation of "Super Resolution" image enhancement based roughly on these papers Enhanced Deep Residual Networks for Single Image Super-Resolution,Deeply-Recursive Convolutional Network for Image Super-Resolution

Tested using a subset of Image-Net

Code Usage

Usage instructions found here: user manual page.

Example Results

Image-Net (32x32 > 256x256)

(1: Low Res Image — 2: Generated High Res Image — 3: Real High Res Image)

Image-Net (64x64 > 512x512)

(1: Low Res Image — 2: Generated High Res Image — 3: Real High Res Image)