Universe GAN is an unpublished paper on GANs in the context of astronomy. In this paper we are focusing on using existent GAN algorithms, for image generation, for image upscaling and enhancement, combining these kinds of GAN algorithms in order to get a good end result, optimization of such GANs and most important: Data collection and augmentation. The generation of such images could have various applications in the astronomy field such as the visual enhancement of planetary and nebulae imagery (we would use the generated data as a new dataset to train an image enhancement algorithm ) , planet detection and many others.
- TechnologiesTensoflow, Numpy, Python, OpenCV
- GithubMachine Learning Archive
Used resources
