We design fashion items in an open-source environment, using Haskell and AI. You can find most of the source code for the designs below on our GitHub. You can find a complete list of all the designs on our PAOM store.
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Back Story
Never wanting to miss out on a trend, this shirt is inspired by the “surface code”; a technique to help realise large-scale quantum computers. It also features a quantum circuit holding quantum money, that when measured, yields classical money.
Back Story
This design is inspired by my love of tye-dye, but is produced with a special kind of neural network called a “CPPN”. CPPNs are particularly cool because they can be used to generate images of arbitrary resolution; and they can be specialised to reproduce certain images or collections of images.
Back Story
This design features prints of different fashion items (t-shirts, shoes, jackets, boots, handbags) that were “designed” by an AI fashion designer in two senses: the shape was produced by the algorithm, and the pattern that is printed on each item was determined by the famous “style transfer” technique.
The ideas used in this design have been presented/exhibited at White Night, Melbourne Knowledge Week, and the RMIT School of Fashion in 2018.
Back Story
This design is our first exploration into deep-learning-based design. The dance moves on this shirt are based on a famous YouTube video; the moves themselves are determined directly from a video by the algorithm. The result is a sampled collection of dance-moves!
These ideas have been presented to the general public at Melbourne Science Week, 2018.
Back Story
This T-Shirt, which features the Haskell logo, was designed entirely in Haskell, and the source-code is open and available to all.