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

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 Discriminator

Super Resolution Results

Visual Comparison

Go to the folder Trainer to train SuRGe.

Please provide the dataset path in train.py

python3 train.py

Name		Name	Last commit message	Last commit date
Latest commit History 48 Commits
Results		Results
Trainer		Trainer
assets		assets
demo		demo
internet		internet
README.md		README.md
config.py		config.py
model.py		model.py
requirements.txt		requirements.txt
test.py		test.py
utils.py		utils.py

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