392264 ISY Project: Deep Learning for Face Generation and Editing (Pj) (SoSe 2023)
Contents, comment
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In this project, you will gain practical experience with Generative Adversarial Networks (StyleGAN), Diffusion Models, Language Models, and apply neural networks to generate and edit faces and objects.
- NVidia just released StyleGAN 2: https://youtu.be/BIZg_PPuj_0
- Editing Faces using Artificial Intelligence: https://youtu.be/dCKbRCUyop8
- StyleGAN3 [Explained]: https://youtu.be/_euFoyLEyqU
- Face Generation and Editing with StyleGAN: https://arxiv.org/abs/2212.09102In 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 | |
|---|---|---|---|---|---|
| block | Block | 03.04.-14.07.2023 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-GP Grundlagenprojekt Intelligente Systeme | weiteres Projekt | Ungraded examination
|
Student information |
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- Type(s) / SWS (hours per week per semester)
- project (Pj) / 2
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- Faculty of Technology
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