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an example implementation of SinGAN: Learning a Generative Model from a Single Natural Image

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This re-implementation of SinGAN in pytorch was our project for the Spring 2020 iteration of the graduate CENG796 - Deep Generative Models course in Middle East Technical University's Computer Engineering Department. A compilation of everyone's projects throughout the years can be reached at: https://github.com/gcinbis/deep-generative-models-course-projects

Tamar Rott Shaham, Tali Dekel, Tomer Michaeli

ICCV 2019

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This folder provides a re-implementation of this paper in PyTorch, developed as part of the course METU CENG 796 - Deep Generative Models. The re-implementation is provided by:

Ataberk Dönmez, ataberk.donmez@metu.edu.tr
Deniz Sayın, sayin.deniz@metu.edu.tr

Please see the jupyter notebook file main.ipynb for a summary of paper, the implementation notes and our experimental results.

The required packages can be found in requirements.txt and installed with conda as follows (tested on Python 3.6):

conda install --file requirements.txt -c conda-forge

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