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解构·重组 DECONSTRUCTION

Mengqiu Lyu, Haotian Yan

2021, Chongqing China

AI海报展示 - 副本.png

AI is used to intervene in the field of clothing, so that machine learning can not only assist human beings from the role of physical tools in the process of clothing design, but also realistically promote human inspiration in terms of emotion, so that machine learning can also stimulate designers' imagination, not limited to people's own inspiration emotion. Taking advantage of the highly generalized characteristics of deconstruction, which attaches importance to internal structural factors and overall consideration, structural clothing is coordinated with artificial intelligence to produce a series of works by designers to produce anti-traditional innovative clothing, break the deadlock when inspiration stagnates, inject vitality and regain new life.

AI intervention in clothing is a human-machine collaboration attempt. After using the tool RunwayML to change and iterate through the data, the effect is quite unexpected; many renderings stimulate the designer, and the designer can derive multiple innovative designs through a picture generated by AI. , Which greatly improves the designer's work efficiency; at the same time, the clothing silhouettes, materials, patterns, etc. generated by AI are beyond human imagination and give new vitality to the clothing field; 1. The design of human-machine collaboration is often unique to creative requirements, has practical uses and realistic inspiration; 2. The data set needs to be fixed in a range to find as unconventional, irregular and non-traditional as possible, so that the results of machine learning are more "special and unexpected"; 3. What the designer designs on the basis of AI is innovative. The designer's multiple design sketches are then taken into machine learning, and the second human-computer cooperation may also stimulate the design. 4. Design with AI will have 10,000 possibilities, countless imaginations, and the limitations of designer thinking broken by machines, extending the boundaries of design; AI's wisdom must be irreplaceable in the future.

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