392268 ISY Project: AI art and Diffusion Models (Pj) (SoSe 2023)
Contents, comment
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This project provides an opportunity to gain practical experience with Diffusion Models, like DALL·E 2 that can create realistic images and art from a description in natural language.
- https://openai.com/dall-e-2
- https://imagen.research.google
- https://huggingface.co/spaces/dalle-mini/dalle-mini
- https://ni.www.techfak.uni-bielefeld.de/node/3691How to use ControlNet in your AI Art - Stable Diffusion Tutorial 2023
https://youtu.be/dLM2Gz7GR44In case the proposal would not attract enough students for a team project, I'd adapt it into an individual project or a project for two students (tandem project)
Requirements for participation, required level
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Required skills
- Theoretical and practical experience with Deep Learning
- Python experience > 1 year.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-GP Grundlagenprojekt Intelligente Systeme | Gruppenprojekt | Ungraded examination
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Student information |
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- Registered number: 8
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- SS2023_392268@ekvv.uni-bielefeld.de
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- Friday, February 3, 2023
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- Friday, February 3, 2023
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- Friday, February 3, 2023
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 2
- Department
- Faculty of Technology
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