How do neural networks “understand” an image?
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All of the techniques I am using for image generation resulted from research into image classification, which is the ability for a computer to locate and name objects in a visual image. This is effortless for humans, but turned out … Read More

A map of my images so far
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I have several aims with making the images that are a major part of this project: to explore creative collaborations with AI, to create a collection of images depicting distant future AI creation myths and to think through some of … Read More

Computer Vision finding old faces and making new ones
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What would future artificially intelligent machines think humans looked like if they’d never seen one? With only scattered fragments of data about our time, they might try to reconstruct our history from scraps – after all, history and archaeology is … Read More

What do machines see?
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Earlier this week I adapted a computer vision technique intended for photos to isolate the faces in 2500 early Renaissance paintings from wikiart.org. I am hoping to create new faces from these using a GAN, in order to represent how … Read More

Creation myths with CycleGAN
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The first and simplest GANs such as DC GANs produce images that mimic the images they were trained on. (See the black and white digits produced by a DC GAN in the blog post Getting Started with GANs). Others have … Read More

Getting Started with GANs
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For the last two weeks I have focused on concepts and techniques for creating mythological images. Generally, I come up with a mythological scenario and then create the image around it – the civilization of machines being unearthed from the … Read More

Compositing the Myths
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How to make the images? In my last blog post, “Is It Art?” I questioned whether making composite images from the output of other people’s GANs was an appropriate approach. (A GAN is a type of neural network for image … Read More