|Denis Malimonov 076623cc40||3 months ago|
|Face_Depixelizer_Eng.ipynb||3 months ago|
|Face_Depixelizer_Rus.ipynb||3 months ago|
|README.md||3 months ago|
|example.jpg||4 months ago|
|transformation.gif||4 months ago|
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 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.
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) for high-resolution images that are perceptually realistic and downscale correctly.
Check how it works on Google Colab:
Based on: PULSE
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.