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