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ML x ART

A showcase with creative machine learning experiments

👋 I'm Emil, a resident at the Google Arts & Culture Lab. I've curated this collection.

Year
Artist
Technology
Theme
Medium
Default order

Egor Kraft

A GAN trained on a thousand blots of ink splashed onto watercolour paper and interpolated live on electronic ink screens

GAN

Google Arts & Culture Lab

Use a camera and CNN to classify artworks in an exhibition

CNN, Classification

François Quévillon

0.1-second samples of birds tweeting and mapped according to a variable audio features configuration which continuously transforms the Point Cloud

Point Cloud

Mariel Pettee, Chase Shimmin, Douglas Duhaime, Ilya Vidrin

Generated choreography with VAEs trained on high-quality motion capture data of improvisational dance

VAE, RNN

Mike Tyka

DeepDream of Himalayas created with lasercut wood

DeepDream

Cyril Diagne, Google Arts & Culture Lab

Use UMAP to cluster the color of outfits in several thousand catwalks

Background Removal, UMAP

Helena Nikonole

Train an LSTM on sacred texts. Use voice synthesis to play the generated scriptures on unsecured surveillance cameras with speakers

LSTM

Emil Wallner

Use an image captioning model, pix2code, to translate design mockups into a website

Image Captioning, pix2code, RNN, LSTM, CNN

Sofia Crespo

CNN generated blend of nature posters

CNN

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Copyright © 2021 Emil Wallner

All artworks © of their respective owners