Knitting punch cards codify different stitch patterns into binary patterns, telling the machine
when to change color or to generate different stitch types. This research utilizes Neural …

Punch card knitting codifies the different stitch patterns into binary patterns, informing the
knitting machine when to change color or to generate different stitch types. This research …

This paper proposes deep learning techniques of generating designs for clothing, focused
on handloom fabric and discusses the associated challenges along with its application. The …

Deep neural networks (DNNs) applications are now increasingly pervasive and powerful.
However, fashion designers are lagging behind in leveraging this increasingly common …

In recent years, artificial intelligence (AI) in the form of generative deep learning models
have proliferated as a tool to facilitate or exhibit creativity across various design fields. When …

Modern knitting machines allow the manufacturing of various textile products with complex
surface structures and patterns. However, programming these machines requires expert …

Generative Adversarial Networks (GANs) are used for image, video, and 3D scene
generation along with their ability to enhance images. In image generation, GANs generate …

In this work, we propose a novel method for automated textile design patterns generation
using generative models. We first improve the accuracy of state-of-the-art results in …

Machine learning have been recently applied to multiple areas, including fashion. Fashion
design by generated images makes it possible to inherit design without fashion designer …

Clothing is one of the symbols of human civilisation. Clothing design is an art form that
combines practicality and artistry. The Dunhuang clothes culture has a long history which …