STARTS PRIZE’18 – Nomination
With the development of technology, computers are indispensable for various human production activities. Machine learning, which has been remarkably developed in the field of computer science in recent years, has attracted public attention as a technology to replace a part of human intellectual activity, and it is actively studied. However, garments that are essential to human beings are still being designed by humans.
Also, the design of fashion brands is produced by several designers, so succession of technology and sensitivity is difficult. Therefore, we propose a computerized garment design created by cooperative work of human and machine intelligence using Deep Neural Network (DNN). This AI learns a certain brand design and generates new design images of clothing. From the generated image, the patterner creates the pattern and completes it as new clothes. We made clothes using the system DeepWear through a series of designs, such as design by deep learning, patterning by patterners, and creation of costumes.
With this DeepWear, it is possible to inherit the design in clothing without depending on the designer.
