  Space exploration has always been a source of inspiration for humankind, and
thanks to modern telescopes, it is now possible to observe celestial bodies far
away from us. With a growing number of real and imaginary images of space
available on the web and exploiting modern deep Learning architectures such as
Generative Adversarial Networks, it is now possible to generate new
representations of space. In this research, using a Lightweight GAN, a dataset
of images obtained from the web, and the Galaxy Zoo Dataset, we have generated
thousands of new images of celestial bodies, galaxies, and finally, by
combining them, a wide view of the universe. The code for reproducing our
results is publicly available at
https://github.com/davide-coccomini/GAN-Universe, and the generated images can
be explored at https://davide-coccomini.github.io/GAN-Universe/.
