AI technology is giving traditional Nishijin-ori weavers in Japan a fresh new look

Category: (Self-Study) Lifestyle/Entertainment

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Nishijin-ori is the intricate weaving for kimonos that dates back more than a thousand years. But the traditional Japanese craft is getting some high-tech assistance from artificial intelligence (AI).

Giant looms clatter inside a textile shop in the Nishijin district of Kyoto, a city where ancient weaving arts are still preserved to this day. Despite the craft’s heritage, its future is uncertain. Demand for kimonos has declined sharply in Japan, particularly among younger generations. Many now rent formal wear for special occasions, if they wear it at all.

In response, some artisans are turning to technology to help sustain the tradition. At the heart of the loom, a small device is visible. It’s an artificial intelligence-assisted tool developed by Sony Computer Science Laboratories, or Sony CSL.

While it doesn’t weave fabric, it supports the design process, helping artisans translate traditional aesthetics into a modern pattern.

Lana Sinapayen, Ph.D. researcher at Sony Computer Science Laboratories Inc., says, “We try to integrate modern technologies with traditional craftsmanship. For example, here we have a traditional kimono made by the technique of Nishijin-ori, which dates back hundreds of years.”

In practice, this means AI learns from human corrections and can replicate those decisions across a full design. It reduces what used to take days or weeks to a matter of seconds, allowing artisans to focus more on creative decisions than technical labor.

Jun Rekimoto, a professor at the University of Tokyo and chief science officer at Sony Computer Science Laboratories Inc., says, “Happiness is not only about money or efficiency, but when that person feels content, I think. And I think we can promote that happiness by combining the traditional and latest technology.”

The final weaving, however, is done entirely by hand and loom in the traditional way.

Nishijin-ori kimonos can sell for as much as a million yen: the equivalent of several thousand dollars.

This article and video were provided by The Associated Press.

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[Device attached to the looming machine]

[Device]

Lana Sinapayen (interview): “We try to integrate modern technologies with traditional craftsmanship. For example, here we have a traditional kimono made by the technique of Nishijin-Ori, which dates back hundreds of years.”

[Nishijin-ori weaver Hironori Fukuoka using weaving machine]

Lana Sinapayen (interview): “We trained an AI to understand what are traditional Japanese patterns, called ‘Wagara’ in Japanese. And we showed this AI hundreds of wagara images and then it produced dozens of images which can be all considered as wagara.”

[Kimono pattern produced by AI]

Lana Sinapayen (interview): “So you cannot directly send a picture to the machine for it to be weaved. You have to first transform the picture into data that can be used by the machine. And this process is extremely time-consuming and very boring for the designers. They have to by hand correct by every pixel and this work can take days or weeks. So we made a system that can learn how the designer modifies or transforms the picture into data, so that the designer only has to transform part of the picture and then AI learns how to transform this picture into data.”

[Fukuoka using weaving machine]

Jun Rekimoto (interview): “Happiness is not only about money or efficiency, but when that person feels content, I think. And I think we can promote that happiness by combining the traditional and latest technology.”

[Kimono pattern produced by AI]

[Kimono]

Hironori Fukuoka (interview): “We have been in this Nishijin-Ori business for over 120 years. Conventionally, we have been expressing traditional patterns on kimonos and obis (kimono belts) but from now on, by working with Sony, we hope to develop patterns which can be accepted by the young generation, and introduce other items beyond kimonos and obis.”

[Fukuoka weaving]

This script was provided by The Associated Press.