Generative AI in the industry, media, and beyond. Chances and challenges of stable diffusion
Stable Diffusion is a text-to-image AI-model capable of generating photo-realistic images given merely a textual description of the desired image content. This makes it possible to generate images quite easily without requiring special artistic skills, computer knowledge, or computer hardware and in a matter of seconds. The opportunities, challenges, and the changes that the use of Stable Diffusion brings will be discussed in this panel with the automotive industry and image agencies as examples.
Speaker:
- Phillip Müller works in the Algorithmic Engineering & AI department at BMW.
- Björn Ommer is head of the Computer Vision & Learning working group at LMU and developed the algorithm underlying Stable Diffusion.
- Christian Schiffer is a journalist, presenter at BR and co-author of BR24's tech podcast Umbruch.
- Martin Skultety is managing director of the Image Professionals photo agency in Munich.
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The Center for Advanced Studies at LMU provides a forum for scientific exchange and discussion that bridges the divide between the established disciplines. Its activities are designed to promote all forms of collaborative research and to stimulate interdisciplinary communication within the University. In addition, it facilitates the integration of visiting scholars and scientists into the academic life of the University.