Face Depixelizer using Machine Learning
Using the face depixelizer, I used AI to turn an anime character into real a life character by giving their faces a more human touch. Some results are quite funny and cursed.
The idea behind it is based on PULSE: A Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models.
PULSE borrows the output from StyleGAN, a generative adversarial network to produce the results that we see here. The model takes quite a while to create an output, and the output didn't vary much based on pixelation or blurring.
Hope you enjoyed the video as much as I did playing around with this technology! Definitely worth the wait for the output.
Notebook - https://colab.research.google.com/git...
On this page of the site you can watch the video online Face Depixelizer using Machine Learning with a duration of hours minute second in good quality, which was uploaded by the user Harsh Sanjay Agrawal 05 August 2020, share the link with friends and acquaintances, this video has already been watched 6,793 times on youtube and it was liked by 33 viewers. Enjoy your viewing!
