Facial Image Generation with Generative Adversarial Networks

by Manuel Herold and Alexander Lercher

Training Data

Various sources were used as real input for the Discriminator.

Alexander Lercher's report is a Jupyter Notebook about GAN theory and the DCGAN and HR-DCGAN implementation.

Name		Name	Last commit message	Last commit date
Latest commit History 79 Commits
crawler		crawler
gan		gan
preprocessing		preprocessing
reports		reports
training_images		training_images
.gitignore		.gitignore
gan.sh		gan.sh
herold.ipynb		herold.ipynb
herold.py		herold.py
lercher.ipynb		lercher.ipynb
lercher.py		lercher.py
readme.md		readme.md
requirements.txt		requirements.txt