Tradition meets AI in Nishijinori weaving style from Japan’s ancient capital

Tradition meets AI in Nishijinori weaving style from Japan’s ancient capital


KYOTO, Japan — Nishijinori, the intricate weaving technique for kimonos that dates back more than a thousand years in Japan’s ancient capital of Kyoto, is getting a high-tech collaborator: artificial intelligence.

The revered colorful weaving style associated with “The Tale of Genji” of the 11th-century Heian era, has gone through its share of ups and downs. But its survival is more perilous than ever today, as demand for kimonos nose-dives among Japanese grappling with modernization.

Hironori Fukuoka, the fourth-generation successor to his Nishijinori business, is determined to keep alive the art he’s inherited, even if that means turning to AI.

“I want to leave to legacy what my father has left for me,” he said in his rickety shop in the Nishijin district of Kyoto, a city with statue-filled temples and sculpted gardens that never seems to change.

“I’ve been pondering how the art of Nishijinori can stay relevant to the needs of today,” said Fukuoka.

Besides the AI project, Fukuoka is also working on using his weaving technique to make super-durable materials for fishing rods and aircraft.

Giant looms clatter at his shop, called Fukuoka Weaving. The patterns on the gorgeous fabric, slowly turning out from the loom, are repetitive and geometric, which makes it conducive to translating into digital data. Deciding which hand-dyed color thread goes where to make the patterns is much like the on-or-off digital signals of a computer.

Such similarity is what Fukuoka focuses on in exploring how AI might work for Nishijinori, with the help of Sony Computer Science Laboratories, an independent research arm of electronics and entertainment company Sony Corp.

AI only makes suggestions for the designs and doesn’t do any of the actual production work. But that doesn’t bother Fukuoka or the researchers.

“Our research stems from the idea that human life gets truly enriched only if it has both what’s newly innovated and what never changes,” said Jun Rekimoto, chief science officer at Sony CSL, which is also studying how AI can be used to document and relay the moves of a traditional Japanese tea ceremony.

“We don’t believe AI can do everything. Nishijinori is a massive, complicated industry and so it starts with figuring out where AI can help out,” said Rekimoto, also a professor at the University of Tokyo.

What has come of it is a startling but logical turn in thinking, fitting of the art adorning kimonos worn by Japan’s imperial family.

The AI was fed various Nishijinori patterns that already existed and instructed to come up with its own suggestions. One was a bold pattern of black and orange that seemed to evoke a tropical motif.

To Fukuoka, some of AI’s ideas are interesting but simply off. The difference between AI and the human effort is that the former can come up with multiple suggestions in a matter of seconds.

Fukuoka immediately gravitates toward the one that uses a motif of a leaf to define the angular lines of a traditional pattern, something he says a human wouldn’t have thought of. He finds that ingenious.

The kimono the AI collaboration has produced is a luscious soft green, although it doesn’t have a price tag and isn’t in production yet.

The weaving is carried out by the old-style machine under the guidance of the human artist in the traditional way.

Nishijinori kimonos sell for as much as a million yen ($6,700). Many Japanese these days don’t bother buying a kimono and may rent it for special occasions like weddings, if at all.

Putting one on is an arduous, complicated affair, often requiring professional help, making kimonos even less accessible.

Dr. Lana Sinapayen, associate researcher at Sony CSL, believes AI often gets assigned the creative, fun work, leaving tedious tasks to people, when it should be the other way around.

“That was my goal,” she said in an interview at Fukuoka Weaving, of her intent to use AI in assistant roles, not leadership positions.

Digital technology can’t automatically represent all the color gradations of Nishijinori. But AI can figure out how to best do that digitally, and it can also learn how the human artist fixes the patterns it has produced.

Once that’s all done, AI can tackle arduous tasks in a matter of seconds, doing a pretty good job, according to the researchers.

Artificial intelligence is being used widely in factories, offices, schools and homes, because it can do tasks faster and in greater volume, and is usually quite accurate and unbiased, compared to human efforts. Its spread has been faster in the U.S. and other Western nations than in Japan, which tends to be cautious about change and prefers carefully made, consensus-based decisions.

But the use of AI in arts and crafts is promising, such as text-to-image generative AI for the creation of visual images from text prompts, according to a study by Henriikka Vartiainen and Matti Tedre, who looked at the use of AI by craft educators in Finland.

“As computers have taken over many routine-like and boring tasks that were previously performed by people, the computer revolution has also been said to liberate time and offer new opportunities for human imagination and creativity,” they said.

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