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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

Joanne Hastie

Paint 12 shapes, algorithmically combine the forms, use the Inception Classifier to select artworks, and then paint the final selection

CNN, Inception, Classification

Gene Kogan

Apply Cubist Style Transfer live with a camera

StyleTransfer, Camera

Sam Lavigne

Using semantic segmentation trained on Figaro-1k to extract all the haircuts of Mark Zuckerberg

Semantic segmentation, Figaro-1k

Vadim Epstein

Music video, created with Feature Inversion (successor of DeepDream) and enhanced with Neural Video Interpolation (slow motion).

DeepDream inversion, Video interpolation

Lulu xXX

DJ video with video texture advection with flipfluids and Optical Flow based Style Transfer

StyleTransfer, Optical Flow, deepflow

Golan Levin, David Newbury, Kyle McDonald, Irene Alvarado, Aman Tiwari, Manzil Zaheer

Select a region on a map and extract CNN features and use NNS to find similar regions

CNN, NNS

Anne Spalter

A GAN-generated highway image with Style Transfer from a charcoal drawing

Style Transfer, GAN

Doron Adler

Overfit StyleGAN on 250 nonsensical images and then apply StyleTransfer

StyleGAN, GAN, StyleTransfer

Kishi Yuma

GAN interpolation inspired by Francis Bacon

GAN

Joel Simon

Use a genetic algorithm to generate faces and the dlib face classifier for the objective function

Face Recognition, CNN

YACHT, Ross Goodwin, Tom White, Mario Klingemann

An album with songs generated with Magenta’s MusicVAE model and lyrics made by an LSTM trained by Ross Goodwin

Magenta, VAE, NSynth Super

Robbie Barrat, Acne

Train a GAN on Acne clothing, generate images with the GAN, and create physical products according to the GAN images

GAN

Xander Steenbrugge

Visualizing sound by interpolating a GAN trained on paintings

GAN

Anna Ridler

A GAN trained on handmade ink drawings based on the film Fall of the House of Usher (1929) as well as the GAN-generated images themselves

GAN

Mike Tyka

DeepDream of Himalayas created with lasercut wood

DeepDream

Maxime Plantady, Evelyne Drouin

Light projections on a sculpture based on facial expressions

Expression Detection

Kaoru Okomura, Mike Tyka

Flora and fauna themed DeepDream projection on Kaoru Okomura

DeepDream

David Ha

Use a CPPN to create shader-like images including a tutorial

CPPN, ANN

Jules LaPlace

An RNN trained on cattle auctioneers

RNN

Jonathan Fly

A BigGAN latent video about a butterfly augmented with ImageJ and GauGAN

GauGAN, GAN, BigGAN, ImageJ

David Ha

Use K-means to segment and colorize an image, inspired by Warhol

K-means

Philipp Schmitt, Steffen Weiß

Generate chairs with a GAN and then produce the generated chairs

GAN

Helena Sarin, Dmitri Cherniak

A GAN trained on algorithmically generated art

GAN

Kishi Yuma

Video transferred into next frame predictions via a Conditional GAN

GAN, pix2pix

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Copyright © 2021 Emil Wallner

All artworks © of their respective owners