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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

Andy Matuschak, Google

A real time implementation of Sketch RNN which predicts future strokes while you draw

RNN, QuickDraw

Sofia Crespo

CNN generated blend of nature posters

CNN

Gene Kogan

Apply Cubist Style Transfer live with a camera

StyleTransfer, Camera

Derrick Schultz

Style Transfer with content from waves footage and style from StyleGAN

StyleGAN, Style Transfer, Superresolution

Sey Min

Take a selfie and use a CNN to determine how likely you are to be a k-pop star

CNN, Classification

Zhihao Ouyang, Yihang Yin, Kun Yan, Jian Wu, Xiaolin Hu

Compose violin music with prompts trained with a combination of a CNN and RNN, and performed

RNN, CNN, rGMIR, Magenta

Anne Spalter

An image with circles Style Transferred with pictures of three airplanes using Nightcafe, and the spaceman and asteroid are animated with Plotaverse

Style Transfer

Albert Barqué-Duran

Use a 3D GAN to generate an Emoji, 3D print the generated Emoji, and paint it during a live performance

GAN, Height map

Daniël Korssen

Create a shared playlist on Spotify and create a digital dance party by animating each dancer with PoseNet

PoseNet

Lisha Li, Vladimir Glazachev, Dzmitry Pletnikau, Eric Liu

Automatically animate digital humans or your digital double with just text or speech

Text to Animation of Virtual Characters

Anna Ridler

A voiceover via a CNN and RNN for Walt Disney's Nature's Half Acre (1951) trained on text from female protagonists in romance novels

RNN, LSTM, CNN

Helena Sarin

GAN trained on personal pictures of flowers

GAN

Jessica In, George Profenza, Sam Price

A live, interactive drawing installation that facilitates collaboration between a human and a robot, the model is trained on the QuickDraw dataset and uses the QuickDraw Classifier, and a custom SketchRNN

Hardware, SketchRNN, QuickDraw, Classifier

Sofia Crespo

Lenticular print of images made with a CNN

CNN, Lenticular Print

Ryan Murdock

Perceptual MinMax trained on 80 images from CelebA

Min-Max

Shi Weili

A Conditional GAN trained on topographical data and satellite imagery of Earth to terraform Mars topographic data

Pix2pix, GAN

Robbie Barrat

GPT-2 to generate a set of rules describing a drawing, inspired by Sol LeWitt

Transformer, GPT

Hector Rodriguez

Reconstruct the film Alphaville (1965) by extracting patches from the same film and reassemble them with Simplex Volume Maximization

Simplex Volume Maximization

Damien Henry

Pix2pix repeatedly takes the generated output as the new input to create a one-hour long video of train windows

pix2pix

Alsino Skowronnek

A StyleGAN trained on thousands of frames of a filmed sequence of images of graffiti from NYC in the late 70s/early 80s. The output is interpreted into a painting and an AR filter

StyleGAN

Nouf Aljowaysir

Using U-2 Net, the artist removed ‘oriental’ stereotypical figures in the dataset and then trained it on StyleGAN2 to signify the eradication of her ancestor’s collective memory

U-net, U-2 Net, StyleGAN

Ben Moren

A StyleGAN trained on clonal colonies, large concentrations of genetically identical organisms, imitating the natural clonal colony phenomenon in aspen trees

GAN, StyleGAN

Doron Adler

Overfit StyleGAN on 250 nonsensical images and then apply StyleTransfer

StyleGAN, GAN, StyleTransfer

Google AI

Word association games powered by semantic search

Semantic search

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Copyright © 2021 Emil Wallner

All artworks © of their respective owners