GANs: 18th Century Fashion Patterns

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.