Generated patterns


Machine Learning: Programing patterns

This work explores the current capabilities of machine learning technology for generating new patterns based on input data consisting of 18th-century fabric archives. The main focus is on the principle of GAN architecture function, dataset generation issues, and the training process. The work highlights the network of human decisions and steps behind the seemingly automatic process.

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Dataset Source All the patterns used in dataset are coming from 18th century collection from Brno, Czech Republic. 




Signal Festival


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UMPRUM   /  TAČR