Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/tg-bomze/Face-Depixelizer
Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
https://github.com/tg-bomze/Face-Depixelizer
Last synced: 7 days ago
JSON representation
Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
- Host: GitHub
- URL: https://github.com/tg-bomze/Face-Depixelizer
- Owner: tg-bomze
- Created: 2020-06-19T19:35:11.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2021-04-30T12:26:27.000Z (over 3 years ago)
- Last Synced: 2024-10-29T17:56:26.389Z (12 days ago)
- Language: Jupyter Notebook
- Size: 9.1 MB
- Stars: 2,011
- Watchers: 64
- Forks: 247
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## NOTE
We have noticed a lot of concern that PULSE will be used to identify individuals whose faces have been blurred out. We want to emphasize that this is impossible - **PULSE makes imaginary faces of people who do not exist, which should not be confused for real people.** It will **not** help identify or reconstruct the original image.
We also want to address concerns of bias in PULSE. **We have now included a new section in the [paper](https://drive.google.com/file/d/1fV7FsmunjDuRrsn4KYf2Efwp0FNBtcR4/view) and an accompanying model card directly addressing this bias.**
If you are interested more about the topic, you can read this [IEEE Tech Talk about PULSE](https://spectrum.ieee.org/tech-talk/computing/software/making-blurry-faces-photorealistic-goes-only-so-far).
# Face-Depixelizer
Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
Given a low-resolution input image, Face Depixelizer searches the outputs of a generative model (here, [StyleGAN](https://github.com/NVlabs/stylegan)) for high-resolution images that are perceptually realistic and downscale correctly.
**Check how it works on Google Colab:**
- Russian Language [](https://colab.research.google.com/github/tg-bomze/Face-Depixelizer/blob/master/Face_Depixelizer_Rus.ipynb)
- English Language [](https://colab.research.google.com/github/tg-bomze/Face-Depixelizer/blob/master/Face_Depixelizer_Eng.ipynb)
**Based on:** [PULSE](https://github.com/adamian98/pulse)
**Article**: [PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models](https://arxiv.org/abs/2003.03808)
**Currently using Google Drive to store model weights and it has a daily cap on downloads, therefore, you may receive an error message saying "*Google Drive Quota Exceeded*" or "*No such file or directory: '/content/pulse/runs/face.png'*". If you are experiencing this error please try again later in the day or come back tomorrow.**
Thanks for the help in fixing the errors: [AlrasheedA](https://github.com/AlrasheedA), [kuanhulio](https://github.com/kuanhulio), [DevMentor](t.me/DevMentor)