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Edgar Schonfeld, Bernt Schiele, Anna Khoreva

CVPR 2020

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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:

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


The required Python modules are in requirements.txt (also in requirements_informal.txt, but that is not parsable).

The experiments expect the CelebA dataset to be under celeba/ here, and will download it under that repository if it is not found.

Our pre-trained models are offloaded in order to shrink the repository size. See unetgan/models/README.md for a download link of a pretrained model.