One of the two algorithms, the generator, creates artificial images of a specific pattern – in the case of FelGAN, the circle of the car. The discriminator – the competitor, so to speak – sees a selection of images, consisting of photos of real circles and images of the generator. At this point, the discriminator decides whether each image is a creation of the generator or a real photo. This process is repeated several times until the training is complete. Both algorithms are designed to learn from their mistakes and continuously improve. After enough runs, the generator creations are so real that even the human eye cannot distinguish them, or can barely distinguish them, from real photos. The application’s intuitive user interface, based on Streamlit technology, creates short development cycles and rapid feedback between the design and IT teams. So that designers do not have to rely on high-performance local hardware when using the software solution, the AI application components – which require a lot of processing power – run in the cloud.
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