392157 Video Diffusion for Visual Computing (S) (WiSe 2025/2026)

Contents, comment

Diffusion models have recently become the most frequently used generative model for visual computing, attaining unprescedented image quality.
This seminar is focussing on video diffusion models, which undergo an enourmously quick development, enabling better quality and execution on less demanding hardware.

The focus of this seminar is on reading, presenting, and discussing recent papers on video diffucion models.

We will give a brief overview of the field in the first two lectures, the remainder of the term will be student presentations.

Students present one paper and lead the discussion of another paper presented by a peer, and engage in the discussion of the papers presented by others, including the writing style, strengths, limitations, and ethical implications.
As this is an applied 2 LVS seminar, it is ungraded and without a report.

The following slides provide additional details and context to the existing visual computing modules at Bielefeld University by the Visual AI group:
https://docs.google.com/presentation/d/e/2PACX-1vRGyE0j_cU324qp-vOEE4hEBPn3HdwliZQqeg_vT0w7Yt9EUXmgFB6NamL_ynqeBMYRgD-cdvfvXobA/pub?start=false&loop=false&delayms=3000

Requirements for participation, required level

Required skills: Fundamental mathematics (linear algebra) and basics&intermediate of machine learning (basic understanding of diffusion models or advanced knowledge of other generative models such as VAE,GAN).
Optional skills: Experience and knowledge in computer graphics or computer vision (lectures or projects) helps but is not required.

These skills are typically acquired through lectures or by private projects, hackathons, and coding competitions.

Bibliography

The papers that will be discussed are from the CVPR, SIGGRAPH, and NeurIPS conferences, or other respected machine learning, computer vision, and graphics venues.

External comments page

https://docs.google.com/presentation/d/e/2PACX-1vRGyE0j_cU324qp-vOEE4hEBPn3HdwliZQqeg_vT0w7Yt9EUXmgFB6NamL_ynqeBMYRgD-cdvfvXobA/pub?start=false&loop=false&delayms=3000

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Mi 08-10   13.10.2025-06.02.2026

Subject assignments

Module Course Requirements  
39-M-Inf-AI-app-foc_a Applied Artificial Intelligence (focus) Applied Artificial Intelligence (focus): anwendungsorientiertes Seminar 1 Study requirement
Student information
Applied Artificial Intelligence (focus): anwendungsorientiertes Seminar 2 Student information
- Ungraded examination Student information
39-M-Inf-INT-app-foc_a Applied Interaction Technology (focus) Applied Interaction Technology (focus) - Seminar Student information
Applied Interaction Technology (focus): anwendungsorientiertes Seminar 1 Study requirement
Student information
Applied Interaction Technology (focus): anwendungsorientiertes Seminar 2 Student information
- Ungraded examination Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.


No more requirements
No eLearning offering available
Registered number: 0
This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
Address:
WS2025_392157@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_570529208@ekvv.uni-bielefeld.de
Coverage:
No students to be reached via email
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Friday, June 20, 2025 
Last update times:
Friday, June 20, 2025 
Last update rooms:
Friday, June 20, 2025 
Type(s) / SWS (hours per week per semester)
seminar (S) / 2
Language
This lecture is taught in english
Department
Faculty of Technology
Questions or corrections?
Questions or correction requests for this course?
Planning support
Clashing dates for this course
Links to this course
If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
The following link includes the course ID and is always unique:
https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=570529208
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
570529208