On April 20th, the 2019 China International Fashion Design Innovation Competition came to an end at the Ansha International Convention and Exhibition Center on the Huangpu River in Shanghai. The European Design Institute won the championship. It is worth mentioning that the only non-"human designer" of the 16 participating teams - Shenlan Technology DeepVogue apparel assisted design system won the runner-up of the event, and won the praise of 50 public judges, winning the " Most popular award."


One of the entries of Shenlan Technology DeepVogue

The 2019 China International Fashion Design Innovation Competition was co-sponsored by the China National Garment Association and the Shanghai Fashion Capital Promotion Center. With the theme of “future fashion”, relying on innovative technology and cultural heritage as a carrier, the 2019 China International Fashion Design Innovation Competition is a global fashion design institute. The international competitions of the school, in addition to the mysterious AI players - Shenlan Technology, as well as the French High Fashion Institute, European Design Institute, Donghua University, Qinghua Institute, Beijing Institute of Clothing Technology, Hong Kong Polytechnic University, Taiwan Practice University, etc. 15 well-known fashion design colleges and universities participated.

Valentina Cosenza & Giada Petrolini from the European School of Design won the championship

Well-known artists, Chinese fashion design master Wang Xinyuan, China Jinding Awards clothing designer Zhang Yida, Italian Fashion Association former chairman Frank, international famous pianist Kong Xiangdong, film star, Chinese supermodel, high fashion designer Ma Yanli and other industry judges At the same time, the contest also invited about 50 professional juries composed of authoritative fashion media, designers, clothing manufacturers, clothing brand companies, international fashion buyers, etc., to select the favorite team of the public.

Shen Lan Technology's entries won the "most popular public award"

According to the organizers, this is a gathering of global design elites and the top international level. The future fashion will be driven by technological innovation and cultural creativity. When artificial intelligence ushers in the era of art perception, future fashion design will definitely add inspiration. Source." The contest not only allowed the world to see the vast space for the future development of China's artificial intelligence-enabled garment industry. The clothing designed by DeepBlue for DeepVogue won the second place in the competition, and also sent a signal to the elites of the fashion industry. Designers need to have more Inclusive attitude, using newer, more intelligent technologies or tools to participate in future construction.

At the final stage, Yan Xiangyang, vice chairman of the China Fashion Designers Association and director of the Shanghai Fashion Capital Promotion Center, also gave a thumbs up for his independent research and development capabilities when he presented the award to the team of Dr. Shenlan. Zhang Jinda, the China Golden Top Award-winning fashion designer, also praised: “The clothing designed by DeepVogue has reached the level that can be exhibited on the international fashion show.”

Participants and judges take a group photo

The public review also said that in the future, artificial intelligence will not replace designers, but as far as the results of this competition are concerned, artificial intelligence will transform big data scientifically and systematically into fashion design, which is still very promising, and the clothing style is also in line with the public. Aesthetic. Chinese AI companies already have the ability to process complex and complex information through big data systems. They can help designers solve repetitive tasks, re-engineer the entire apparel design ecosystem for brand-side services that lack design capabilities, and also show Chinese artificial intelligence. Technology's forward-looking progress in apparel creative design, material use, color matching, market trends, and big data technology applications.

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