A novel artistic GAN that generates alien interestingly-looking objects as a result of the input dataset we've created to train our GAN on and bias the generator to create such fascinating novel mixed colors as well.
This work has been shown in the exhibition of Future Proof at Galerie Postel in Hamburg!
To run the code, you need
The dataset is a collection of weirdly-looking alien-like objects including space rocks from different point of views, abstract artworks etc. The dataset was fully prepared by Ben Nurgenc, an artist that initiated this project's idea.
- 64x64 GAN: This model uses a GAN model for generating images of size 64x64.
- 256x256 GAN: For generating images of size 256x256.
To train the network, run python <model_version>_version/training.py.
To load the model and create test images in inference phase, see the /256x256_scaled_version/test_notebook.ipynb notebook.
Please refer to the project samples PDF file under docs/ for more insight into our dataset and training observations.
Our project relied highly on the following repo: