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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

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

Robbie Barrat

GPT-2 to generate a set of rules describing a drawing, inspired by Sol LeWitt

Transformer, GPT

Julia Vergazova, Nikolya Ulyanov

Feeding surveillance camera images into a 3d-photo-inpainting network

3d photo inpainting

David Ha

Use a CPPN to create shader-like images including a tutorial

CPPN, ANN

Javier Ideami

Visualizing the loss landscapes with real data using ResNet 20 architectures with batch sizes of 16 and 128 and the Adam optimizer

Loss, ResNet, Adam

Alexander Mordvintsev

Run an image through a pre-trained CNN, and then upscale the image backward. For each layer, adjust the image according to the difference between the activations and the image

CNN, Activations, DeepDream, Gradient Ascent

Kishi Yuma

GAN trained on pictures of hands

GAN

Lenka Hamosova, Pavol Rusnak

StyleGAN interpolation with added random noise in the generation process

StyleGAN

Yuguang Zhang

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

GAN, Hardware

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Copyright © 2021 Emil Wallner

All artworks © of their respective owners