米塔之家

2023-09-13 13:23

米塔之家

2023-09-13 13:23

收藏文章

订阅专栏

排版｜小资

栏目｜米塔之家.行业资讯

图片来源 ｜NYBL

“

双方在行业 knowhow、算法优化、模型训练所需的数据共享等方面进行共享与协作，推动时尚行业在设计，打版到生产以及成衣展示等整个流程的科技赋能。

”

2023 年 9 月 12 日，成立于香港的NYBL Technology Limited时尚科技 AI 技术公司与上海交通大学计算机应用研究所，宣布双方进行合作，进一步高效的推动「Fashion Tech」AI 算法的高效迭代和训练。本次合作双方在行业knowhow、算法优化、模型训练所需的数据共享等方面进行共享与协作，推动时尚行业在设计，打版到生产以及成衣展示等整个流程的科技赋能。

September 12, 2023 —NYBL Technology Limited announced a research partnership with Shanghai Jiao Tong University （SJTU）Institute of Computer Applications Research. This cooperation is aimed to further enhance the efficient technology iteration and training of "Fashion Tech" AI Model. In this collaboration, both parties will engage in knowledge sharing, algorithm optimization, and data sharing required for model training, aiming to drive technological empowerment in the fashion industry throughout the entire process from design and pattern-making to production and garment display.

时装行业正在经历科技升级的深刻变革当中，在数字化技术的驱动下，一件时装从构想到成衣的整个流程在不断加速，消费者可以更快的得到新的款式和更多的选择。所以通俗来讲，每一件服装的背后都充满了“科技与狠活”。“有大数据的地方就可以有 AI”，NYBL 创始人李亦非认为，“通过 NYBL 在对时尚行业长期的积累，发现利用 AI 可以快速提高时尚行业的 SKU 的产出，这里我们所指的 SKU 不仅仅是设计，而且还附带生产加工所需的一切必要信息，例如服装板片，花色，材质，缝线等等工业数据。所以大量生成设计品类并无缝对接生产才是 AI 一站式提高时尚产业整体效率的关键。”

The fashion industry is currently undergoing a profound transformation driven by technological advancements. With the help of digital technologies, the entire process of creating a fashion garment, from ideology to the final product, is accelerating, allowing consumers to access new styles and a wider range of choices more quickly. In simple terms, behind every piece of clothing lies the high- tech innovation. "Where there is big data, there can be AI," says Li Yifei, the founder of NYBL, "Through NYBL's long-term accumulation in the fashion industry, we have discovered that AI can rapidly increase the output of fashion industry SKUs. Here, when we refer to SKUs, it not only includes design, but also all the necessary information for production and processing, such as garment sewing patterns, colors, materials, and stitching. Therefore, the key to AI's ability to enhance overall efficiency in the fashion industry lies in the seamless integration of generating a large number of design categories and connecting them seamlessly with production."

另一个值得注意的市场潜在爆发点是，随着数字化的快速普及，很多时装的设计不再需要生产出成衣就可以以数字服装的形式在 AI 和 AR 等技术的加持下穿在真实的用户或者数字人身上，生成视频或者照片，从而丰富了用户的数字衣橱，也降低了生产带来的环保压力。同时，服装设计文件的 3D 化又可以支持用户在下单之前就预览服装上身样貌，也同时可以知道尺寸的松紧程度，对选品和选择尺码起到了关键作用，降低商家和买家的退换货成本。

Another noteworthy potential market breakthrough is the rapid digitization of fashion design. With the support of technologies like AI and AR, many fashion designs no longer need to be physically produced as garments. Instead, they can exist in the form of digital clothing, which can be virtually worn by real users or digital avatars. This allows for the creation of videos or photos, enriching users' digital wardrobes and reducing the environmental impact of physical production. Additionally, the 3D rendering of clothing design files enables users to preview how the garments will look on them and understand the fit and sizing before placing an order. This plays a crucial role in product selection and choosing the right size, ultimately reducing the cost of returns and exchanges for both businesses and consumers.

上海交大计算机系和 NYBL 公司的合作是一次难得的机会，双方可以将各种深度学习算法应用于时尚科技的 AI 模型，并训练出一个高效的人工智能技术合集，从而推动时尚产业变得更快速、更高效，”上海交通大学计算机应用研究所助理教授易博士表示，“NYBL 公司对时尚产业有着深刻的理解，并在服装设计、图案制作和时尚展示方面积累了技术专长和研究路径。通过这次合作，我们的研究机构可以更清楚地了解人工智能算法如何应用于时尚产业，开辟出了一个全新的人工智能应用领域，发挥自身在算法上理论优势，有望共同孕育出一个全球领先的时尚科技 AI 技术。此外，NYBL 公司拥有大量深度学习和训练模型所需的服装基础数据，这将极大地增强我们在训练模型方面的效率，也提高了模型的精度。为高校能够产出更优质前沿的学术成果打下了基础。

The collaboration between the Department of Computer Science at Shanghai Jiao Tong University and NYBL presents a unique opportunity to apply various deep learning algorithms to AI models in fashion technology. This partnership aims to train an efficient artificial intelligence technology collection, ultimately driving the fashion industry to become faster and more efficient. "NYBL has a deep understanding of the fashion industry and has accumulated technical expertise and research in clothing design, pattern-making, and fashion display," said Dr. Wang, Assistant Professor at the Institute of Computer Applications, Shanghai Jiao Tong University. "Through this collaboration, our research institution can gain a clearer understanding of how artificial intelligence algorithms can be applied to the fashion industry, opening up a new field of AI application. Leveraging our academic advantages in AI algorithms, we hope to jointly cultivate a globally leading fashion-tech related AI technology. Additionally, NYBL possesses a wealth of clothing basic data required for deep learning and training models, which greatly enhances our efficiency in training models and improves model accuracy."

“交大电院计算机系一直以来都是国际人工智能研究水平一流的科研队伍，并非常注重 AI 在行业中的实际应用。NYBL 非常高兴能够和上海交大计算机系的学者在时尚领域对 AI 模型训练方面进行合作。”NYBL 创始人李亦非介绍说，“本次合作所涉及到的 AI 算法较为多元，从输入端进入大模型，到最终得到结果要经历相当多的变换以及算法才能实现较好的输出结果。每一个步骤如有卡顿则会导致整个模型的失败，也就是木桶原理，我们的技术集合不能有短板。虽然我们的整体框架是深度学习，但是其中要用到的分支非常多，这里包括 CNN，RNN，LSTM，ATT 等。每一个大的算法框架下还要找到合适的 layers 的划分以及监督方法，在这方面有了交大的协助无疑可以让模型的训练以惊人的速度进化。我们期待双方在学术发现和实际应用中取得丰硕的成果。

“NYBL is thrilled to collaborate with scholars from SJTU on AI model training in the fashion industry, because The Department of Computer Science at SJTU has always been a leading research team in the field of artificial intelligence, with a strong focus on the practical applications of AI in industries. " Said Li Yifei, the founder of NYBL. "This collaboration involves diverse AI algorithms, which undergo multiple transformations and algorithms from the input to the output of the large model to achieve optimal results. Any lag in each step can lead to the failure of the entire model, just like the weakest link in a chain. Although our overall framework is deep learning, it requires the use of various branches, including CNN, RNN, LSTM, ATT, and more. Under each major algorithm framework, it is necessary to find appropriate layer divisions and supervision methods. With the assistance of Shanghai Jiao Tong University, the training of the model can evolve at an astonishing speed. We look forward to achieving fruitful results in both academic discoveries and practical applications through this Partnership."

关于：NYBL Technology Limited

NYBL 公司成立于香港，并在上海设有办公室进行运营的人工智能赋能时尚的科技企业。我们的团队来自全球顶尖学府，对科技的探索以及解决行业痛点是我们的追求。NYBL 的愿景是用智能重塑时尚行业，使时尚行业更高效、更快、更智能的服务时尚消费者。

About: NYBL Technology Limited

NYBL is a technology company based in Hong Kong with R&D centre in Shanghai, specializing in AI-powered fashion solutions. Our team consists of experts from top global universities who are dedicated to exploring and addressing industry pain points through technology. Our vision at NYBL is to reshape the fashion industry making it more efficient, faster, and smarter in serving fashion consumers.

了解更多元宇宙知识，结识元宇宙人脉，扫码加入元宇宙行业生态社群。

【免责声明】市场有风险，投资需谨慎。本文不构成投资建议，用户应考虑本文中的任何意见、观点或结论是否符合其特定状况。据此投资，责任自负。