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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

Pindar Van Arman

Generate art with a camera and robot arm

CNN, Hardware

Yuguang Zhang

A GAN trained on the artists sleeping patterns and then interpolated by a custom sheet folding machine

GAN, Hardware

Christine Payne

A music generator trained on hundreds of thousands of MIDI files and trained with GPT-2

GPT

Lulu xXX, Jacob Sutton

Apply Slic Superpixels and Style2Paint to Jacob Sutton's music video

Style Transfer

Lulu xXX

Style Transfer, Optical Flow, and Background Removal applied to video

Style Transfer, Background Removal, Optical flow, DeepFlow

Daniel Smilkov, Fernanda Viégas, Martin Wattenberg, the Big Picture team, Google Creative Lab

Generates a 3D t-SNE map to visualize high-dimensional data

t-SNE

Yotam Mann

Resynthesized audio from YouTube with neural nets trained on vocal and instrumental recordings

WaveGAN, GAN

Anna Ridler

A GAN trained on Maltese photography and as well as the GAN-generated images themselves

GAN

Gene Kogan

DCGAN trained on a database of handwritten Chinese Characters

DCGAN, 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

Simon Doury, Etienne Ferrier, Google Arts & Culture Lab

Cluster artworks based on color

UMAP

Mario Klingemann

DeepDream applied to the face of a woman

DeepDream, Gradient Ascent

Amber Frid-Jimenez

RNN generative piano music inspired by Satie

RNN

Andrew Pfalz

RNN generated string instruments with a tutorial

RNN, LSTM

Alsino Skowronnek

A Conditional GAN trained on a data set of ~1,000 annotated street tag images from Germany. The model can generate new graffiti tags based on any textual input from the audience

Pix2Pix

Helena Sarin

Apply CycleGAN to a Sketch of the Fonthill Castle

CycleGAN, GAN

Josh Urban Davis

Creating Glitch art by modifying GAN weights

GAN, Weights

Lenka Hamosova, Pavol Rusnak

StyleGAN interpolation with added random noise in the generation process

StyleGAN

Vadim Epstein

Recurrent application of Style Tranfer and 3D videomapping projected on building

StyleTransfer, Multi-Style Transfer

Sofia Crespo

CNN generated blend of species and 3D printed

CNN

Sean Farrell, Andrew Coconato

RNN generated music from MIDI files

RNN

Gene Kogan

Fit a Gaussian mixture model on 100 images of a topic and randomly sample from the model with a self-organizing map to create one image representing the color from the topic

SOM, ofxSelfOrganizingMap, Gaussian Mixture Model

Botnik Studios

RNN generate the lyrics for a country song and perform it

RNN

Dani Joy

Produce large scale Style Transfer-like artworks, print, and paint over

Style Transfer

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Copyright © 2021 Emil Wallner

All artworks © of their respective owners