392257 ISY Project: Deep Face Editing with StyleGAN (Pj) (SoSe 2021)
Contents, comment
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In the project, you will gain practical experience with style generative adversarial network (StyleGAN) [see References], apply neural networks, and computational approaches to produce faces and objects transformations.
References:
This Person Does Not Exist https://thispersondoesnotexist.com
Animate your family photos https://www.myheritage.com/deep-nostalgia
Microsoft Face Demo https://azure.microsoft.com/en-us/services/cognitive-services/face
AI Makes Near-Perfect DeepFakes in 40 Seconds! https://www.youtube.com/watch?v=iXqLTJFTUGc
Two Minute Papers: 3 New Things An AI Can Do With Your Photos! https://youtu.be/B8RMUSmIGCI
Two Minute Papers: Everybody Can Make Deepfakes Now! https://youtu.be/mUfJOQKdtAk
Arxiv Insights: Face editing with Generative Adversarial Networks https://youtu.be/dCKbRCUyop8
Henry AI Labs: StyleGAN https://youtu.be/AQBti_wN414
NVidia just released StyleGAN 2 https://youtu.be/BIZg_PPuj_0
When A.I. Becomes Creative https://youtu.be/KZ7BnJb30Cc
GitHub: OpenFace https://github.com/TadasBaltrusaitis/OpenFace
GitHub: DeepFaceLab https://github.com/iperov/DeepFaceLab
GitHub: Neural Photo Editor https://github.com/ajbrock/Neural-Photo-Editor
GitHub: Stylegan2encoder https://github.com/robertluxemburg/stylegan2encoder
GitHub: Official code for StyleGAN2 https://github.com/NVlabs/stylegan2
Requirements for participation, required level
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- Introduction to Neural Networks or Advanced Neural Networks courses.
- Python or C++ ( > 1 year).
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
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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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- Notes:
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- Last update basic details/teaching staff:
- Thursday, February 4, 2021
- Last update times:
- Thursday, February 4, 2021
- Last update rooms:
- Thursday, February 4, 2021
- Type(s) / SWS (hours per week per semester)
- Projekt (Pj) / 4
- Language
- This lecture is taught in english
- Department
- Technische Fakultät
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