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Near-Perfect Image Super-Resolution: Exploring Multiple Divergence Measures in Fully Convolutional GAN

PyTorch Implementation for SuRGe: Super Resolution Generator

pip install -r requirements.txt

Download the pretrained model from Google Drive and Put it in the pretrained_models folder.

Run this code to check the images in Demo Folder

python3 test.py

Input Demo Folder Output Test_Results Folder

Generator Generator Discriminator Discriminator

Super Resolution Results Results

Visual Comparison Results

Go to the folder Trainer to train SuRGe.

Please provide the dataset path in train.py

python3 train.py