Di, 10 bis 12
Uhr c.t., Akademiestr. 7, Zi 105,
29.04.- 24.07.2025
If seminar is booked out, you can join a waiting list by sending an
application (motivation letter + course related skills) to this
mailaddress:
assist.mvl@lrz.uni-muenchen.deOver the past year,
there has been a surge in new AI-based image generation and editing
tools that do not require special computer skills, but are usable by
laypersons, artists, and designers. This has been largely influenced
by the publicly available, open-source "Stable Diffusion"
model
(https://ommer-lab.com/research/latent-diffusion-models/
).
Now many researchers, start-ups, and artists are investigating
downstream tasks without the need for a high-performance GPU cluster
to train a base model. Mor
eover, a number
of closed-source services such as Midjourney and Open AI's Dall-E 2
have also drawn a lot of attention.
The foundation of
this technology is the task of generating a single image solely based
on a textual description of what should be depicted in the image.
Examples of this can be found on websites such as
https://lexica.art/. This technology can be extended to include
additional information, such as depth maps, and allows for flexible
image editing by changing existing objects based on text or removing
parts of the image and filling it while paying attention to the
remaining image. The latest advances also allow for generation or
modification of video as well as rendering 3D scenes.
These topics and more will be covered
in our seminar, where we will investigate AI-based image and video
editing and generation techniques. Each student will focus on a
specific topic. The objective of this seminar is then to investigate
the connection between these techniques and the students' respective
fields of study and the greater societal and research implications.
We will explore potential applications and issues in applying this
technology. Each student will give a presentation of their ideas and
write a report about the technique and its potential applications and
implications.
Please consult with LSF and/or your
examination office for crediting this course.
Di., 
Mo., 
Mo., 
Sa., 26.4., 9:00–
Sa., 20.4., 9:00–
Sa., 20.4., 9:00–
Sa., 27.4., 9:00–
Sa., 3.5., 9:00–
Sa., 27.4., 9:00–
Do., 
Mi., 
