Foggy-CycleGAN
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Fog Simulation using Generative Adversarial Networks (GAN). This code is the implementation of the master thesis Simulating Weather Conditions on Digital Images. It uses a modified CycleGAN model to s...
Foggy-CycleGAN
This project is the implementation for my Computer Science MSc thesis in the University of Debrecen.
Dissertation: [PDF] Simulating Weather Conditions on Digital Images (Debrecen, 2020).
Description
Foggy-CycleGAN is a CycleGAN model trained to synthesize fog on clear images. More details in the dissertation above.
Code
The full source code is available under GPL-3.0 License in my Github repository ghaiszaher/Foggy-CycleGAN
Pre-trained Models
A version of pre-trained models used in the thesis can be found here.
Notebook 
A Jupyter Notebook file Foggy_CycleGAN.ipynb is available in the repository.
Results