392209 AI Art (Pj) (WiSe 2022/2023)
Contents, comment
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This ISY project will focus on practical applications of state of the art style generative models:
- OpenAI DALL·E 2: https://openai.com/dall-e-2/
- Google Imagen: https://imagen.research.googleDiffusion models:
Intro: https://calvinyluo.com/2022/08/26/diffusion-tutorial.html
Various flavors: https://lilianweng.github.io/posts/2021-07-11-diffusion-models/
Code assisted Tutorial: https://huggingface.co/blog/annotated-diffusion
Training Loss setup tricks: https://benanne.github.io/2022/05/26/guidance.htmlCVPR 2022 Tutorial
Tutorial website: https://cvpr2022-tutorial-diffusion-models.github.io
Tutorial slides: https://drive.google.com/file/d/1DYHDbt1tSl9oqm3O333biRYzSCOtdtmn
YouTube: https://www.youtube.com/watch?v=cS6JQpEY9cs
Requirements for participation, required level
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Introduction to Neural Networks course or Advanced Neural Networks. Python or C++ (>= 1 year)
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| by appointment | n.V. | ONLINE | 10.10.2022-03.02.2023 |
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Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-P_ver1 Project | 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.
- Address:
- WS2022_392209@ekvv.uni-bielefeld.de
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- Notes:
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- Last update basic details/teaching staff:
- Thursday, October 6, 2022
- Last update times:
- Wednesday, August 17, 2022
- Last update rooms:
- Wednesday, August 17, 2022
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 2
- Department
- Faculty of Technology
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