【Implement our solution to facilitate the genuine digital transformation of the fashion industry】

        To advance the metaverse fashion business, we must have a clear understanding. There is a fundamental distinction between digital art and digital twin products. The disparity between images and physical products leads to return or exchange requests, and if not addressed, it hinders participant and consumer engagement. Particularly when transitioning from digital to physical production and ultimately delivering to end consumers, the appearance effect alone is insufficient—it must also ensure practical wearability and comfort.

        (https://lnkd.in/gJxzgZ86)

 

        To minimize such return or exchange issues and succeed in creating sellable digital twin products, we assert that the only effective DX solution is one where all data sources start from a 3D state.

 

        While such a DX solution may not yet be offered by providers in other countries, we can provide it through collaboration with our Japan company and affiliated partners.

 

1.AI Fashion

        We possess leading core technology in the creation of digital twin products, although it is not widely known globally due to insufficient promotional efforts.

        (https://lnkd.in/gEh6sbC9)

 

2.Proven in the Chinese Market for 15 Years (Three Areas)

  • Handling variations in body shapes and diverse design requests in ready-to-wear clothing
  • Catering to semi-custom and full-custom orders
  • Providing DX support for creating new brands

        ( https://lnkd.in/gya5MzrE)           

 

3.With consistent technological principles and technical logic, aiming to become a Category Killer across various clothing items in the Asian Market at the very least!

  • Our expertise in MIX&MATCH

        (https://lnkd.in/gvggGZQe)

  • Experience in generating automatic combination tables.

From beautiful “clothes” to beautiful “you”.

  The dress you are wearing is very nice(dress is beautiful).

 

  → The dress suits you very well (you are beautiful).

 Share this transformation with more people.

 

  Create an environment you can easily do clothes shopping anytime, anywhere and no matter whom you are with. And you can receive the object as like as two peas seen in the image.

  Just stop “the picture is only for reference”, we don’t need it any longer.

 

  People all over the world have experienced the same long stay at home because of covid-19. Today’s remote work and 5G environment have achieved so far, and the correspondence of the net sales becomes important in the apparel industry. In the past, you can attract customers attention simply by uploading goods catalog on the Internet. However, nowadays, consumers ask more. Differentiated experience is required to catch their attention and satisfy them. In this digital era, Personal oriented services such as virtual trying on is the best solution.

 

  The purpose of trying on is to satisfy the shopping, so take improving the efficiency of trying on as a service.

(1) Confirmation of size and fit + (2) a good interpretation of you

→ (1) a good interpretation of you ・ confirm the suitable clothes (make a good match just in one step)

  【provide high precision and reliable size and fit clothes】

 

  Instead of just focusing on sales, turn your business to a more sustainable and appreciated mode. A mode in which consumers can design their own clothes and place the order after checking the VR fitting, then the production begins only when receiving an order. Everyone in this business cycle makes contribution to environment protection at the same time.

 

  Sustainability and ethical shopping are familiar words to people now.

People begin to follow the principle in daily life and of course they keep sustainability in mind when they choose clothes.

 

  Deeply loved clothes will be worn more often. Have you ever been hesitated when you want to discard your favorite clothes after wearing it? No matter how expensive the price is, the more times you wear it, in fact, the cost of each time you wear it decreases. The result is also very eco. This awareness is advanced.

Improving this awareness and changing people’s habit is not easy. Let’s start with tiny steps.

 

  As for the mainstream 2D → 3D prototype (virtual garment production) in the apparel industry, I hope we can stop once and think about it.

 

  Why do people have to take fitting in fashion stores? Why is the return rate of online selling clothes so high?

  The answer is often referred to “fit & size” and “plus size”.

 

  If there is no way to solve “fit & size” and “plus size” simultaneously, the high-precision “virtual trying on” service cannot be provided, and the result will inevitably be unable to connect to CX (customer experience).

 

  What I want to draw attention to and emphasize here is that the method can solve “fit & size” and “plus size” simultaneously has already existed. (at least on the upper body)

 

  As a human body, if there is no trunk, arms or legs can’t be existing independently. The essence of the “fit & size” problem is “generation of body trunk garment“, which must be created for covering the body trunk. About 8years ago, our Japanese company has obtained a method to solve the “fit & size” problem, named this as Clone size Ensured Technology (method). Since last year, SdibiT as our joint venture company in China has been kept striving to prove that this method is also applicable to “plus size”.

 

  The decisive difference from the 2D pattern making up to now is the first stage of pattern making for generation of body trunk garment. No matter for which size. [2D pattern making method]and [2D grading method] are not used at all. The prototype of SdibiT is [3D (generate) → 2D → 3D (confirm)], named [Clone Shape Ensured Method] by us because of its extremely high 3D reproducibility of real clothes. That is to say, the comfort and shape of wearing are optimized at the same time, and the 3D virtual garment of the main body has been made in advance. Only by generating 3D virtual garment in advance, can we respond to evolving personalized customization requirement of the market. And it is also an indispensable engineering step to fulfill the personalized customization requirement. It has even been proved that the fine-tuning of higher and more accurate dimensions can be easily achieved by completing this step.

  The foundation of the way of thinking is flattening 3D curved surfaces to 2D.

Reference: https://wiki.mcneel.com/labels/advancedflatting

 

  Watch the animated video of the forepeak tank section of the hull. On the surface of 3D state presentation, where segmentation is needed can be known according to the places where extreme stretching or compression may occur. The degree of compression or stretch is determined by and reflected in the production of high-precision templates. We think this principle is also applicable to the production of 3D virtual garment.

 

  Remember to play “paper craft of regional globe / wallpaper globe” when you were a kid, or football or rugby. To cover the sphere with a lot of small pieces of paper, it is difficult to paste and combine beautifully and accurately in practice. In fact, this is the same as the essence of garment pattern making.

Note 1): the paper globe is equivalent to a 3D virtual garment, not to an avatar or a digital torso(=virtual sewing body).

 

  The garment can be considered as a surface full of curves. The line that divides the garment is the 3Dconstruction line of clothing. By flattening the segmented 3D slices, we can get the best approximate 2D slice plane pattern, which is the entrance to solve the “fit & size” problem. In order to make a difference from the 2D pattern commonly defined so far, we call the small piece of planar pattern (2D) obtained by flattening “2D flatten pattern”.

Note 2): on the 3D virtual garment, it is not just to set the 3D construction line of clothes freely and then generatethe2D flatten pattern. In order to control the tension or compression wrinkling in a certain range, it is necessary to correct the position of the3Dconstruction line of the clothes. The correction of this position will have a great influence on the 3Dreforming of clothes, including the sewing process.

 

Next, the specific examples of fashion design are illustrated.

 

  To make the required 3D virtual garment on an avatar or torso, appropriate loosen setting should be given according to the statistical data or empirical data. The typical examples include air gap thickness.

 

  Appropriate amount of looseness we meant here, can also be some stages or combinations, such as: tight / standard fit / easy fit.

 

  No need to explain that loose quantity is different between men and women’s costume. The difference is also obvious between women’s cheongsam(chi-pao)and shirt blouse.

 

  For example, Chinese cheongsam(chi-pao)is even considered as the second skin layer of women, with little looseness. In order to emphasize the beauty of women’s curve, some ladies pay attention to corrective undergarment or corset to correct their body shape, maintaining the significant S-shaped curve when they stand.

 

  Here we explain simply the influence of different standing posture. When the horizontal cross-section shape of Bust / waist / hip overlaps (cross-section overlaps), you can see the change of the position relationship with Z coordinate. Then the outer circumference of the bust / waist / hip will also change. Even the height of Bust / waist / hip (Y coordinate) varies. That is to say, the posture of standing is different, the shape of avatar is also different. Therefore, it is necessary to think about the posture when wearing the clothes according to different clothing items and give appropriate loosen settings respectively.

 

  It is possible for the instructors (professors, etc.) of college and other educational institutions or brand majors to make a sample garment according to different clothing categories by draping cutting. But it is difficult to keep the same shape if different 3D construction lines are used. In addition, the problem of grading (size expansion) cannot be solved efficiently and accurately in the traditional way, which also troubles many professionals. It is a too much donkeywork to figure out the method, however, that is just the essence of “fit & size” problem.

 

  [example 1] the difference between 2D flatten pattern and 2D pattern in case of two darts being used.

 

  Take women’s shirts which two darts being used for example to demonstrate.

  Suppose you have created the required 3D virtual garment:

 

a) For the 3D virtual garment, follow the steps of 2D pattern making method to set the construction cutting line. First, add a dart from the front armpit to the chest point, then refer to the direction of the usual torso Princess line, and then add another dart at the waist (the second one). Thus, we can see that there are obvious tight stretching or compression parts on 2D flat pattern. (Strong bias area / deformation ratio)

 

b) For the 3D virtual garment, as in a), first add a dart from the front armpit to the chest point. Meanwhile, a 2D flatten pattern is generated, so you can see the place where there is excessive tension, stretching or compression wrinkling. In order to eliminate this kind of excessive scaling, the second dart is added and regenerated into a 2D flatten pattern. Compared with a), it can be found that the small flatten pattern obtained at this time has greatly reduced the expansion strength.

 

  Conclusion: the2D flatten pattern obtained by using the method of B) can be quite close to the 3D virtual garment required. And from the pointof the feasibilityof production and

processing, it is also close to the best data.

  However, just like this, the “fit & size” problem has not been completely solved. As a part of the clothing construction line b), how to decide the position of the second dart, whether it make the part look beautiful (whether it is against the sense of appearance), is still left behind. From the perspective of production and manufacturing, the expansion ofthe2D flatten pattern will not cause problems, and the position of darts should be corrected to a position that can take into account the aesthetic. This is the limit of manufacturing requirement.

  Obtaining the 2D flatten pattern that can match the manufacturing constraints is the way to completely solve the “fit & size” problem.

 

  [example 2] corresponding to personalized customization

 

  13T and 12TL are the ready-to-wear (RTW) sizes of SdibiT and are actually on sale. Here we use the torso of women’s shirt and the bust cross section of 3D virtual garment to demonstrate the description. Here is the actual body shape data of a person (HH) and a 3D virtual garment chest cross section based on personalized customization.

  In daily life, HH is accustomed to wear a bra (push up bra) with lifting effect. Both 13T and 12tl in RTW size can be worn by her in fact. However, HH is not particularly satisfied with neither of the two sizes by trying on comparing.12TL for her, there is not enough space in front and back, and the cup shape of her bra appeared slightly. But 13T for her, loosing on both sides of her left and right armpits, hardly reflects the optimization effect on her body shape brought by the lifting bra. That is to say, the most suitable shirt for her is the shirt (3D shape) with a width of 12TLfrom left to right and a thickness of 13T from front to back, which can make the optimization effect of the bra outstanding. In addition, HH also has her own preference and stress on the cutting line of fabric switching part.

  According to the 3D shape expected by HH, 3D virtual garment is made, and the 3D construction lines that she likes are adopted. Compared with 12TL and 13T, the best position of the garment 3Dconstruction line in the processing restriction range is about 10 mm closer to the front center of the chest cross-section line.

  Referring to the position of 12TLor 13T garment 3Dconstruction line viewed from the front direction, when it is adjusted to the position with beautiful appearance, the combination of three small pieces including the front fly is in the restriction range of subsequent processing. However, there are only two pieces of pattern combination, without the single part of front fly, there will be high possibility of problems in sewing. If the 3Dconstruction line of clothing is within the limit of processing restriction, even without the single part of front fly, there is no problem with only two pieces pattern combination.

  That is to say, for the same 3D garment, the shape and structure of the forepart of the upper body are processed according to the combination of 2 pieces (2 parts) or 3 pieces (3 parts), the position of the 3Dconstruction line of clothing in the production restriction range will be different.

 

  To solve the “fit & size” problem, before 2D → 3D prototype (virtual clothing production), it is necessary to determine the position of 3D construction line of clothing that can take into account both the aesthetic and manufacturing constraints on the basis of 3D virtual garment, and then generate 2D flatten pattern.

————————————————————————————————————————

  In the lectures for instructors (professors, etc.) of collegesand other education professionals, it will be emphasized that:

1.Shape determines position

   ・The 3D virtual garment determines the position of the 3Dconstruction line of clothing within the production restriction limit.

   ・The 3D construction lines of clothes are mutually restricted and influenced

 

2.The position determines the amount of suture ingestion(for ease stitch sewing)

   ・Change the 3Dconstruction line of the clothes, and the amount of contradiction sewing(contraction quantity)required will also change.

 

  Furthermore, in the lectures for employees of clothing enterprises, emphasis follows will be put on:

3.The enterprise should determine the benchmark to maximize the general design

・3D virtual garment should be set as the benchmark, as well as the 3Dconstructionline of clothing that can take into account both aesthetic and limit of production restriction should be determined by the organization that leading the brand operation.

 

【We are here!】

For the first time, we are integrating home textile products with daily clothig, utilizing end-to-end digital technology support from design to production line data conversion which can be restored 1:1, and product digital showcasing.

At the 134th China Import & Export Fair from October 31st to November 4th, we will be located at booth 9.2B05.
Our clients, who benefit from our technical services as effective users, will demonstrate on-site what “win-win” truly means.

【Will the AI refuse to accept pattern data generated in 2D CAD drawing software for further processing?】

Generative AI is a hot topic of the moment, and we all know that everything AI can do requires a process of learning from the data we provided.

Let’s start to think about AI application in clothing pattern generation, and we will realize a very serious and logically important issue.

The ultimate forms of both virtual clothing and physical clothing are 3D. And the common source is clothing pattern data.
If the pattern data provided for AI learning is generated from 2D CAD drawing software, then the source data is not generated in 3D state, it is not logical that AIGC can play a role in this situation.
All kinds of existing picture generation, can only be skin, and can not achieve the real meaning of DX❗️

2D and 3D are completely different dimensions, so no matter how AI learns, it can not make perfect transformation.
AI need to learn that a combination of 2D patterns can be generated with different shapes based on cutting lines on the same 3D garment model.

If there were no massive pattern data generated like our method to provide for AI learning, there would never have been an AI product that could directly restore and convert a picture of a garment worn on people into pattern sets that could be produced automatically or semi-automatically❗

https://lnkd.in/gprpAubA
https://lnkd.in/gvggGZQe
https://lnkd.in/gTufNWJ9

According to the content of an interview with Professor Geoffrey Hinton at MIT Technology Review on May 3, soon AI will be able to conduct thought experiments.
Will the AI refuse to accept pattern data generated in 2D CAD drawing software for further processing❓🧐🧐

21st May,2023
#design #digital #digitalfashion #digitaltwin #3dmodeling #sustainability #apparelindustry #metaverse #fashiondesign #AIinfashion #AIGC #business

A Digital Fashion Show Workshop with Sichuan Fine Arts Institute

This is a digital fashion show completed by Sichuan Fine Arts Institute and SdibiT., Ltd. Fashion students have their own design ideas. But how to turn that idea into a feasible design and make it true? Here SdibiT plays its role. We make it come true and make it more vivid in VR display.

Digital Fashion/Digital-twin Fashion/DigitalTwin-Matching Fashion

Digital Fashion/Digital-twin Fashion/DigitalTwin-Matching Fashion, are three different concepts.
Today, there are overseas brands coming to consult: What are the highlights of your #metaversefashion video on Fashion Week❓
https://lnkd.in/gErwiJ_M

Our video is dedicated to achieving DigitalTwin-Matching virtual display.
It means the physical clothes that are truly delivered to consumers are not only the appearance, but also the wearing effect matches the virtual display as much as possible❗

 
There is still a big difference between the costumes of animation or game characters in pure visual entertainment:
1. Garment modeling
The patterns generated traditionally from 2D Cad and provided by the brand, are not directly used❗
We verified patterns by our data processing system with 3D calculation optimization and reconstruction.
https://lnkd.in/gy3zw2EH



2. Vmodel modeling
The characters’ body shape is also the output of our system processing, not a detached supermodel or anime game style body shape❗
https://lnkd.in/gEaPRjcb


Digital Fashion ❓
Digital-twin Fashion ❓
DigitalTwin-Matching Fashion ❓
Just tell SdibiT your application scenario and purpose, then you will get a one-stop arrangement.


March 29, 2023

【How the ordinary ready-to-wear business balance high level design and pattern making cost with revenue? 】

生地の色柄が毎年違うだけ..と不満を感じたことのある人は是非お読みください

This article is specially for people who are not satisfied with changes limited in fabric colors and patterns.

The way to generate 2D patterns that addresses Fit&Size Issues is very different from the traditional way of making clothes today.

First, create a 3D prototype with a silhouette that ensures comfort.

Second, create 3D Garment Models according to different requirements from customers or different sizes. Then generate 2D patterns.

Using our company’s method, it takes more than 3 times working hour to make 2D patterns corresponding to #DigitalTwinMatching.
That is to say, it is much more difficult to make patterns achieving good Fit&Size.

At the end of last year, we accomplished a job of making garment 2D patterns which realizes DigitalTwin-Matching according to designated design drawings. This is the most difficult job so far and it charges more than $12,000 for 1 Look& 1 Size considering time and labor cost.

Brands that can bear such high pattern making cost are limited in #luxury brands like Louis Vuitton, CHANEL, Valentino, Versace, etc.

Then how the ordinary ready-to-wear business balance such high design and pattern making cost with revenue?
Learn from other manufacturing industries.
1. Maximize the use frequency of universal design:
Reuse 3D designs or 2D patterns that have already been developed, and increase production volume by using a 3D design developed once for multiple items.


2. Minimize design changes:
Minimize the parts subject to change to reduce additional costs associated with design changes.
In other words, standardize the design.
 
Secondly, in the fashion design section, turn the priority work from making 2D patterns to management of component design list.
At present, the traditional working mode is that the design section starts from scratch to operate according to different specifications every time. Data information is isolated and fragmented, resulting in a great waste of repetitive time and labor.
Working mode of the design section needs to shift from “centered on design /making 2D patterns” to “centered on BOM(Bill of Materials) management “.

It’s not the standardization of work.
It’s about regularizing the design.
Promote modularization while meeting the specific requirements of different customers.

Matching and combining modular design parts is our Mix&Match-Technology solution.

Here is a cost comparison list.
If the current design cost of 1 look is 100.
Adopting our solution, the cost of 1 look would be 300.
But if you reuse the design with modular management for 10 times and make 10% design fine adjustment every time, then the cost would be 300+ 30×10 =600, and 600/11 is less than 60.

Modular design of best-selling products can greatly reduce the cost and help ordinary ready-to-wear brands achieve high design level as top brands.

8th, March

【Some parts of technology logics of AI search tools are similar or even same. Can any giant company plus α to differentiate itself? Starting from AI fashion with us is promising】

After the company OpenAI, funded by Microsoft, released #ChatGPT and combined it to search engine Bing, #Google also announced its plan to integrate Bard, its self-developed AI search tool similar to ChatGPT.

For users, since platform tools have similar functions, will the platform that can provide in-depth services on this basis be more attractive? The demand of fashion design cannot be missed!

AI technologies have applied in fashion industry in many aspects. For example, natural language processing has been used in conversational commerce, computer vision has been used in smart mirrors, and to be noticed, generative model as fashion designers. Google, #Amazon, and the Chinses company #DeepBlue all released their AI fashion design application around the year 2016 and 2017.

However, why these AI fashion design tools did not been put into use widely?
Having a lot of AI generated design pictures in hand but have no efficient way to create pattern data to turn them into actual production is useless!
Most users want to actually wear them, not just enjoy the pictures, don’t you agree?

As mentioned in the previous submissions, the point to notice is that “Generative AI” learns from image data that already exists.
Our company SdibiT has millions of pattern pieces which can be matched and combined into a new style. We call it Mix&Match technology and it is a solution to AI generative fashion.
(https://lnkd.in/gywZcCh8)


However, to maximize our data and technology application, we’d like to work with a professional AI team. We are going to figure out the algorithm of automated pattern matches together and generate as many styles as possible which all have the adequate data for production.

Is it an exciting work? Any team has the ambition to shake the fashion industry is welcomed to contact us🤝🤝

4th.Mar,2023