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PageHow do neural networks “understand” an image?
PostAll 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
PostI 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
PostWhat 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?
PostEarlier 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
PostThe 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
A Robot and A Software Toolkit for Making Images with GANs
PostIntroducing Huxley This week I had the pleasure of working with Huxley, an ST Robotics ST-12 arm in Phase Lab. Huxley has a 1m reach and can write his name with a pen. We did not shake hands, but neither … Read More