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[P] I applied the recent ‘Progressive Face Super-Resolution via Attention to Facial Landmark’ to create ‘photo-realistic’ Emojis and Emotes.

[P] I applied the recent 'Progressive Face Super-Resolution via Attention to Facial Landmark' to create 'photo-realistic' Emojis and Emotes.

Progressive Face Super-Resolution via Attention to Facial Landmark arxiv.org is a machine learning model trained to reconstruct face images from tiny 16×16 pixel input images, scaling them up to 128×128 with nearly photo-realistic results. I tried running emojis, Twitch emotes, and a few game sprites through it.

Full Post: https://iforcedabot.com/photo-realistic-emojis-and-emotes-with-progressive-face-super-resolution/

I did have to do quite a fit of cherry picking, and I also iteratively ran the output back into the inputs to encourage the model the add human features. Some of the best examples:

https://i.redd.it/porrhn5gsui31.png

I also created a (very sloppy) Colab Version of the paper’s github demo if you want to try this yourself.

submitted by /u/JonathanFly
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.