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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

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An interactive demo to type with StyleGAN-generated letterforms

StyleGAN

Josh Nimoy

DeepDream inspired by Classical Western Art History

DeepDream, Gradient Ascent

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

Diego Porres

StyleGAN-generated Mexican and Guatemalan textiles

GAN, StyleGAN

Cunicode

A StyleGAN trained on thousands of public domain beetle illustrations

StyleGAN, GAN

Jia-Bin Huang

GAN to generate machine learning papers

GAN

Bill T. Jones, Google Creative Lab

Detect poses and voice and add the spoken words live in the choreography

PoseNet, Camera, Voice detection, Microphone

Alexander Mordvintsev

Reverse Super-Resolution by turning high-res images into low-res

Super-Resolution

Memo Akten

Generated by two neural networks recursively upscaling itself and generating the titles with an image captioning model

ANN, Image Captioning, RNN, CNN

Mario Klingemann

2D cluster arrangement by feature vectors

CNN, Clustering

Bruce MacDonald

Fooling Facial Detection with Fashion

Facial Detection

Memo Akten

RNN model trained on sounds and morphing trajectories in latent space z

Grannma Magnet, RNN

Bob L. Sturm

RNN generated Gaelic folk music

RNN

Alexander Mordvintsev

DeepDream with Laplacian Pyramid Gradient Normalization

DeepDream, Gradient Ascent, Laplacian Pyramid

Mike Tyka

A GAN trained on faces from Flickr

GAN

Helena Sarin

GAN trained on personal pictures of leafs

GAN

Andrew Pfalz

RNN generated classical music

RNN, LSTM

Katerina Malakhova

Visualize the latent representation of a grandmother in a CNN

CNN

Mario Klingemann, Albert Barqué-Duran

Generate a pose, use a pix2pix model to turn the pose into an artwork and then paint it live

PoseNet, pix2pix, GAN

Stephanie Dinkins

An RNN trained on oral histories from three generations of women from a single-family to highlight concerns of people who are underrepresented in the tech sector, displayed with an interactive voice assistant

RNN, LSTM, Microphone

Sougwen Chung

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

RNN, LSTM

Sey Min

Take a selfie and use a CNN to determine how likely you are to be a k-pop star

CNN, Classification

Mario Klingemann

Deleting weights in GANs to create glitches

GAN, Weights

Google Creative Lab

Add machine learning modules for educational videos

Microphone, Classification

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Copyright © 2021 Emil Wallner

All artworks © of their respective owners