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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

Ivan Pravdin

StyleGAN blended model from human poses GAN and FFHQ

StyleGAN, GAN

Helena Sarin, Dmitri Cherniak

A GAN trained on algorithmically generated art

GAN

Katerina Malakhova

Visualize the latent representation of a grandmother in a CNN

CNN

Mario Klingemann

Generate epigrams with GPT-2 and display them on vintage time table boards

Transformer, GPT

Robbie Barrat, Acne

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

GAN

Google ZOO, bit.studio

Learn shadow art by having a CNN classify and correct your hand patterns

CNN, Classification, Camera

Gene Kogan

Progressively-grown GAN trained on WikiArts

GAN, Progressively Grown GAN

Jonathan Fly

Use SinGAN to train a GAN with a single image, Frymire, the classic compression image

SinGAN, GAN

Xavier Snelgrove

Create a texture by combining two images with Style Transfer

Style Transfer, Texture synthesis

Bastien Girschig, Google Arts & Culture Lab

Use PoseNet to extract a pose and generate stick figure choreographies

UMAP, PoseNet

Jules LaPlace

An RNN trained on cattle auctioneers

RNN

Shi Weili

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

Pix2pix, GAN

Helena Sarin

GAN trained on personal pictures of leafs

GAN

Nicolas Boillot

GPT-2 trained on SVG data, emojis from Twemoji, and symbols from the Google Noto font collection

GPT

Sougwen Chung

Train an RNN on drawing motions and create a painting in collaboration where the model has one color and Sougwen Chung has another

RNN, LSTM

Fabin Rasheed

Use GauGAN with sliders and segment animations, adjusting the landscape to raise awareness of climate change

GauGAN

Kishi Yuma

GAN interpolation inspired by Francis Bacon

GAN

Lingdong Huang, Zheng Jiang, Giada Sun, Tong Bai, Eunsu Kang, Barnabas Poczos

Generate a vintage Chinese opera by extracting poses and augmenting them with a pix2pix model

pix2pix, RNN, LSTM, Markov Chain, OpenPose, Detectron

Refik Anadol

A StyleGAN generated image and painted on a canvas

GAN, ESR-GAN, StyleGAN

Sam Lavigne

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

Semantic segmentation, Figaro-1k

Alexander Mordvintsev

DeepDream with Laplacian Pyramid Gradient Normalization

DeepDream, Gradient Ascent, Laplacian Pyramid

Jason Antic

Colorize B&W livingroom in Sweden with a pix2pix U-Net

U-net, Resnet, ImageNet, pix2pix, DeOldify

Xander Steenbrugge

Visualizing sound by interpolating a GAN trained on paintings

GAN

Dan Motzenbecker and Kyle Phillips, Google Creative Lab

Classifies drawings and matches them with professional graphics

RNN, NNS

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Copyright © 2021 Emil Wallner

All artworks © of their respective owners