SunGAN
| Master in AI @ UPC | TFM. This project utilizes a Generative Adversarial Network in order to generate images from the Sun surface.
Check this project at GitLab
Abstract
This works presents an alternative solution to the already existing physical simulations for the Sun’s photosphere which are used to output a single texture image from the Sun’s surface. This simulations are slow and require huge computational power, a cheaper alternative in time and resources is introduced.
Architectures for a Generative Adversarial Network and a Variational Autoeconder are considered and trained in the generation of small image tiles (128x128px) that resemble the surface of the Sun around an area of approximately 2.62 ∗ 107km2 which with the proposed method can be composed into an image of arbitrarily any size given enough tiles. [...]
Sample generated Sun surface image