Color palette generation with Conditional Generative Adversarial NetworksBurykin, Sergei (Avtor) Sadikov, Aleksander (Mentor) Artificial IntelligenceDeep LearningGenerative Adversarial NetworksCreation of unique color palettes is a challenging task for designers all around the world. Every year it becomes increasingly difficult to create new color palettes. Color theory describes different algorithms for creation of color palettes, but these algorithms limit the possible color combinations. Designers all around the world are trying to find new ways to complete this task. We are trying to apply deep learning algorithms in order to create the color palettes which were never seen before. Using Generative Adversarial Networks (GAN) we can expand the amount of unique color palettes, since GANs are not limited by conventional algorithms.20212021-07-05 16:40:00Diplomsko delo/naloga128188VisID: 32561COBISS_ID: 69404675sl