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Recent Talks & Demos are for members only
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Explore how GANs generate new fashion patterns from 18th‑century fabric archives, covering dataset creation, training challenges, and human decision integration.
This work I will present 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.
StyleGAN 2 generates 18th-century fabric patterns from a meticulously curated dataset.
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