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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

Robbie Barrat

GAN-generated Renaissance paintings using the WikiArt dataset

GAN, DCGAN

Bob L. Sturm

RNN generated Gaelic folk music

RNN

Scott Eaton

Use Pose Detect and a custom pix2pix HD to turn a dancer into sculptures and then applying Optical Flow

pix2pix, Optical Flow, GAN

Jonathan Fly

Apply Ken Burns 3D until it breaks, exposing the simulation software the model was created with

Ken Burns 3D, GAN, Inpainting

Ryan Murdock

Perceptual MinMax trained on 80 images from CelebA

Min-Max

Gene Kogan

Video texture synthesis using contentless Style Transfer

Style Transfer, Contentless

Jason Salavon

Visualize the entire ImageNet dataset in vertical rows

ImageNet

Google Creative Lab, Google Arts & Culture Lab, IYOIYO

Match a user generated drawing with paintings, by extracting the features of the outline of an image and paring it with the drawings

NNS, Edge Detection, CNN

Hector Rodriguez

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

Simplex Volume Maximization

Alexander Reben

DeepDream applied to Bob Ross's video and sound synthesized with Wavenet

DeepDream, Wavenet

Janelle Shane, Google

An RNN that generates knitting instructions, then a knitter follows the instructions

RNN

Anne Spalter

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

Style Transfer, GAN

Bastien Girschig, Google Arts & Culture Lab

Use PoseNet to extract a pose and generate stick figure choreographies

UMAP, PoseNet

Esteban Salgado

A StyleGAN trained on a dataset synthesised with analog and digital materials

GAN, StyleGAN

Bastien Girschig, Romain Cazier, Google Arts & Culture Lab

Match a user-generated shape with paintings; the CNN features of the shapes are matched with a database of features of outlined artworks

NNS, Edge Detection, CNN

Casey Reas

GAN generated video of scanned plants inspired by Stan Brakhage

GAN

Merzmensch

A montage with several 3D Ken Burns Effect generated videos from images

3D Ken Burns Effect

Joel Simon

A collaborative art tool for mixing the latent space of different GAN models to produce new artworks

GAN, Interpolation, Feature Mixing

Mario Klingemann, Mr.doob

AI doodles in Mr.doob's multi-user drawing tool

RNN, QuickDraw

Gene Kogan

Translate a live face to face trackers and turn them into a another person with Pix2pix

GAN, Pix2pix, Camera

Ryan Murdock

Use BigGAN and CLIP-based Gradient Ascent to generate an image of "a horse head with four eyes"

BigGAN, Gradient Ascent, CLIP

Gene Kogan

Use Deep Painterly Harmonization to add objects to famous paintings

Deep Painterly Harmonization

Eirini Malliaraki

Use a pre-trained CNN to expose bias in machine learning-based recruiting processes

CNN, Face markers

Sofia Crespo

CNN generated blend of corals

CNN

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Copyright © 2021 Emil Wallner

All artworks © of their respective owners