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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

Boris Boege

Portrait generating GAN

GAN

Lulu xXX

Optical Flow based Style Transfer of woman singing

StyleTransfer, Optical Flow, deepflow

Jenna Sutela, Google Arts & Culture Lab

Detect movement from bacteria, cluster it with t-SNE, and use several RNNs to generate text, language, and voice from the data

t-SNE, RNN

Mike Tyka

A GAN trained on faces from Flickr

GAN

Christian Mio Loclair, Waltz Binaire

Adjust user interface animations according to an ANN trained on user interactions

ANN

Aarati Akkapeddi

Visualizing face-recognition data

Face recognition

Fabin Rasheed

Give Google's voice assistant a StyleGAN face in VR and animate answers with First Order Motion

StyleGAN, GAN, VR, First Order Motion

Corridor Crew

Tom Cruise Deep Fake

DeepFake

Obvious, Nike

Train a GAN on Nike shoes, generate an image, and produce a shoe collection according to the generated image

GAN

Yotam Mann

A WaveGAN-inspired model trained on the acapella vocal ensemble in Košice, Slovakia, translating Glenn Gould's piano into a Gregorian Choir

WaveGAN, GAN

Bjørn Karmann, Google Creative Lab

A CNN model in a device that collects data and is auto trained to make an action

CNN, Hardware

Al Bencomo

Candy dispenser based a showing images to a CNN

CNN, Classification, Hardware

Maxime Plantady, Evelyne Drouin

Light projections on a sculpture based on facial expressions

Expression Detection

Shan Carter, David Ha, Ian Johnson, Chris Olah, Google Creative Lab

An RNN model generates handwriting based on your style

RNN

Simon Doury, Etienne Ferrier, Google Arts & Culture Lab

Cluster artworks based on color

UMAP

Lulu xXX, Paradis

Apply Slow motion and fluid footage and Optical Flow based Style Transfer on Paradis's Recto Verso

StyleTransfer, Optical Flow, deepflow

Joel Simon

Use a word vector to generate an image, and a discriminator to detect the word vector from the generated image, similar to a GAN

GAN, cDCGAN

Helena Sarin

Apply CycleGAN to a Sketch of the Fonthill Castle

CycleGAN, GAN

Item 1 of 3

LIA

Using Chimera Painter to turn scribbled monsters into real monsters

Chimera Painter

Steve Savage

Self-organising textures of fruits using Neural Cellular Automata

Self-organising textures, Neural Cellular Automata

Google Research, Google Creative Lab, YouTube Music

Analyse voice files to match the similarity to Freddie Mercury

CNN, RNN, Classification, Magenta

Sougwen Chung

Train an RNN on drawing motions and create a painting in collaboration with a robot arm controlled by the model

RNN, LSTM

Jake Elwes

Use an image captioning model that translates CNN features to RNN features, and another GAN that translates RNN features to images in a loop

RNN, Image Captioning, CNN, GAN

Ross Goodwin

Use an N-gram model to generate 10 000 sonnets trained on works by William Shakespeare

N-gram

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Copyright © 2021 Emil Wallner

All artworks © of their respective owners