392209 Image Generation and Editing with DNN (Pj) (WiSe 2023/2024)
Contents, comment
-
- This ISY project will focus on practical applications of state of the art generative network models. Use cases are social networks, like Instagram, TikTok, Facebook, etc. Please send me an email to for more details.
- StyleGAN3 [Explained]: https://youtu.be/_euFoyLEyqU
- Editing Face Images with StyleGAN: https://youtu.be/Std3TnCi9j8
- MyStyle: A Personalized Generative Prior [Explained]: https://youtu.be/8YVSIDcFjaI
Requirements for participation, required level
-
Python (>1 year), PyTorch or TensorFlow (basic experience).
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| by appointment | n.V. | ONLINE | 09.10.2023-02.02.2024 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-P1_NWI Projekt 1 | Projekt 1 | Ungraded examination
|
Student information |
| 39-M-Inf-P_ver1 Projekt | Projekt | 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.
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- Address:
- WS2023_392209@ekvv.uni-bielefeld.de
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- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Saturday, November 4, 2023
- Last update times:
- Wednesday, October 18, 2023
- Last update rooms:
- Wednesday, October 18, 2023
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 2
- Department
- Faculty of Technology
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