Reinventing the wheel? “FelGAN” inspires new rim designs with AI
0Leveraging artificial intelligence (AI) in all departments: this is the goal Audi has set itself on its way to becoming a data-driven company. With FelGAN, the company now employs software that uses artificial intelligence to open up new sources of inspiration for designers.
Creative people are always on the lookout for inspiration. The same is true of the designers who create new wheels at the Audi Design Studio in Ingolstadt. But where to find untapped sources of inspiration?
The principle to “think outside the box” is both well-known and catchy. But it is less easy to implement, since, in the creative process, people tend to fall back on what is familiar to them. It is this precisely point that the AI-based software FelGAN, an in-house development by Audi’s IT department and Audi Design, addresses. The project is now enabling creatives to draw from a practically unlimited pool of ideas. Interacting with the software lets designers discover motifs from completely new perspectives, giving them suggestions that they can further evolve and work into their creations. In concrete terms, FelGAN works either by rapidly proposing a large number of photo-realistic designs itself or recombining existing designs in a targeted way.
In this way, the system acts as a kind of spontaneous idea hub for Audi’s rim design team, allowing them to exchange new versions and variations. The tool lets designers easily experiment with shape, color, surface structure, and other parameters in real time.
How artificial intelligence learned to design wheels
The name “FelGAN” is a mash-up of the German word for “rim” (Felge) and “GAN”, the latter being an acronym for Generative Adversarial Networks. GANs are a special form of self-learning computer program in which two algorithms compete as opponents during the so-called training, becoming better and better in competition with each other.
It works like this: One of the two algorithms, the “generator”, makes artificial images of a specific motif – in the case of FelGAN, a vehicle rim. The discriminator – the competitor, so to speak – sees a selection of images, consisting of real wheel photos alongside images from the generator. Now the discriminator decides whether each image is a creation of the generator or a real photo. This process is repeated again and again until training is completed.
Both algorithms are designed to learn from their mistakes and improve continuously. After enough runs, the generator’s creations are so deceptively real that even the human eye cannot, or can only barely, distinguish them from real photos.
The application’s intuitive user interface, which is based on Streamlit technology, creates short development cycles and quick feedback between the design and IT team. So that designers do not have to rely on high-performance local hardware when using the software solution, the components of the AI application – which require a lot of processing power – are run in the cloud.