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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

Alexander Mordvintsev

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

Super-Resolution

Bastien Girschig

Censor inappropriate Bible sections

Text classification

Doron Adler

Overfit StyleGAN on 250 nonsensical images and then apply StyleTransfer

StyleGAN, GAN, StyleTransfer

Diego Porres

GAN-generated Mexican and Guatemalan textiles

DCGAN, GAN

Mariel Pettee, Chase Shimmin, Douglas Duhaime, Ilya Vidrin

Generated choreography with VAEs trained on high-quality motion capture data of improvisational dance

VAE, RNN

Benjamin Wilkins, J.H. Gold

Use a CNN to classify low fidelity wireframes to mobile app components

CNN, Classification, Camera

Lulu xXX

Clustering of Static-Adaptive Correspondences for Deformable Object Tracking (CMT), with Optical Flow enhanced Style Transfer, and a loop generating algorithm based on Optical Flow

CMT, StyleTransfer, Optical Flow, deepflow

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

Google AI

Word association games powered by semantic search

Semantic search

Google Research, Google Creative Lab, YouTube Music

Analyse voice files to match the similarity to Freddie Mercury

CNN, RNN, Classification, Magenta

Nushin Isabelle Yazdani

Generative images of convicts using a GAN

GAN

Christine Sugrue, Google Arts & Culture Lab

Use Object Detection to explore details in artworks

CNN, Object Detection

Vince MingPu Shao

Classic snake game controlled by a webcam that classifies images of arrows

CNN, Camera

Katerina Malakhova

Visualize the latent representation of a grandmother in a CNN

CNN

Steve Savage

Self-organising textures of fruits using Neural Cellular Automata

Self-organising textures, Neural Cellular Automata

Damien Henry

Pix2pix repeatedly takes the generated output as the new input to create a one-hour long video of train windows

pix2pix

Erik Swahn

StyleGAN trained on floor plans and stacked on top of each other

StyleGAN, GAN

Google Creative Lab

Collect dataset and use AutoML to classify the images

AutoML, CNN, Hardware

Jonathan Fly

Upscale emojis to real faces

Super-Resolution

Magenta, Google Creative Lab

Making music using new sounds generated with machine learning

RNN

Anna Ridler, Ben Heim

Organise personal art collection with t-SNE, compose music according to each clusters, and detect each clusters with a camera to play corresponding music

t-SNE, CNN, Classification, Camera, Device

Simon Doury, Etienne Ferrier, Google Arts & Culture Lab

Cluster artworks based on color

UMAP

Monolesan

Using PoseNet to create art using your body parts like eyes, hands, chest and knees

PoseNet, Camera, TensorFlow.js

Guillaume Slizewicz

A mobile broadcasting robot using MobileNet V2 trained on COCO, OCR, and text to speech to amplify messages in public spaces

OCR, Text-to-speech, COCO, MobileNetV2

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Copyright © 2021 Emil Wallner

All artworks © of their respective owners