News release

We have stated many times that if we simply replace the catalog pictures of real models wearing real clothes with virtual avatar wearing virtual clothes, we just still only realize Imagine-Matching(virtual show-on, not virtual try-on ) .
Such simple replacement has not changed fundamentally for consumers.
In this way, consumers cannot be convinced that they can achieve the same Fit&Size effect as the virtual display when they are wearing the same clothes. Therefore, this method cannot achieve the real DigitalTwin-Matching.

As we emphasized, the key difference between real DigitalTwin-Matching and plain Imagine-Matching is whether the virtual display and physical fitting-on can achieve the same Fit&Size.

As we mentioned earlier, there are some regrettable problems with the tools used to solve the Fit&Size issue. At present, the software and hardware R&D of human body 3D modeling rarely thinks about the actual supply chain process of the apparel industry and cannot provide effective tools directly.

As shown in the pictures, importing the 3D scanning obj. file of the same person into our processing system through different software, you will see the various size value differences, height of feature line differences, positions of landmark differences, etc.

This means the traditional method of using 2D CAD software to generate patterns with size value as the standard cannot achieve Digital Twin, because in the technical logic, the final physical product can not fit the consumers well.

It even means that even if #IEEE and other standard setting organizations set the landmarks which scientifically define the BODY measurement points, enterprises adopting 2D grading mode cannot produce the clothes that meet the standards.
The measuring point of the clothes is impossible to match the corresponding position on the body surface.

Therefore, SdibiT believes that adopting the solution of establishing 3D Digital Garment Model in advance is the right way to achieve DigitalTwin-Matching of virtual display.
(details can be referred by: https://lnkd.in/gjsp2Kpg)

Unless the stability of fit is solved, the size problem will persist.
To reduce returns caused by size mismatch, the fit problem must be solved at the same time.

Isn’t it logically?

9th Oct.2022

Needless to say, people have clearly realized the universal application of AI and the far-reaching impact that AI is having and will have in various industries.
 
We believe that in the field of sustainable fashion industry, before reaching the true AI fashion, there must be a process of AI in fashion.
 
In SdibiT’s 15 years of work experience, we encountered various problems. Among these problems, we think there is one need to be solved with the help of AI very urgent and finally achieve complete automation.
 
We have explained that we already have countless body-block corrected patterns. Match and exchange them like LEGO, more than 10 billion design types can be generated in seconds.

However, at present, the number and type of matches are calculated manually. The operation efficiency is especially low when some patterns can not simply be matched and should be used with specific restrictions. And the conclusion is that, there must have judging terms first to judge whether small patterns can be matched and combined. Then the match and combination operation can continue according to match terms.
 
We are always trying hard, but we have reached the limit relying on manual calculation.
As shown in the photo, we conducted an experiment with reference to a style structure of #Burberry Prorsum RTW-F2015. You can easily find out that this process is a typical donkey work.

 
We hope that when judgment terms of feasible match are confirmed, we can complete all types of small patterns that can be matched with the help of AI. And all these combined patterns can output the 1:1 actual size patterns for production downstream.
 
We believe that solving such key problems needs the help of AI, which is the process of AI in fashion. Once this process is completed, AI automatically generates and recommends the clothes according to various terms. The recommended clothes can be produced in reality and can be directly worn by people while ensuring the same Fit&Size in real. Then AI Fashion will naturally be achieved.

CTO Mr. Tomii recommended me to read an article before. The article says that “at both brand and industry level, it’s time to leave the 3D testing laboratory and move into full production when it comes to digital product creation.” I absolutely agree with it.

We mentioned above that if judgment terms of feasible match are set, with the help of AI, match and combination of small piece patterns can be automatically completed. And all these combined patterns can output the 1:1 actual size patterns for production downstream. Then the physical clothes has the same Fit&Size effect as the virtual clothes. It can be called DigitalTwin-Matching clothes that consumers really want and can wear directly and frequently. Then the realization of AI Fashion just needs some time.

When Virtual fitting gradually becomes a common shopping method, to provide consumers with more VR clothes to choose, the design and pattern-making department will have to do a lot of work on garment simulation and visualization. Pressure of designing new looks will also increase. This means that compared with other process, if design and pattern-making department can not increase their work efficiency dramatically, it will become the cost center in the business chain.

CEO(CXO,Business Executives,etc.)must be sensitive to business cost and work efficiency. From the view of CEO(CXO), for classic style items such as suits and shirts etc., the silhouette is basically stable although the cutting lines may differ. The national costumes such as China’s #cheongsam, India’s #PunjabiSuits and Vietnam’s #AoDai etc. have their own unique cutting lines, but the silhouette of each kind basically keeps stable. SdibiT has mastered the method of digital modular design management and has the interchangeable application with countless body-block corrected patterns at the same time. Now that we have met the two necessary conditions, if we can use the power of AI to recommend new looks accurately and efficiently according to consumers’ expectations through LEGO type matches and combinations, and ensure the same Fit&Size effect between physical clothes and digital show, what a tremendous AI fashion business we can achieve.

Our CTO often said in a half-joking, half-serious way that life wear in the concept of #UNIQLO is a typical classic style category in ready-to-wear. UNIQLO spends a lot of money on collaborations with different artists every time. If president YANAI can invest 1/10 of each collaboration’s cost in the research and development of the process we mentioned above, a complete different experience can be brought to consumers.

We clearly know that the Mix&Match R&D under the AI in Fashion mode is SdibiT’s first priority at present. If there are investors who recognize our business judgement or relevant R&D teams, please contact us without hesitate. SdibiT looks forward to achieving the goal together with you and witnessing the unparalleled new experience and satisfaction brought to consumers by AI Fashion.

We encountered software and hardware obstacles during the visualization process of the invisible data processing more than a decade ago. Under the judgement standard of “seeing is believing”, it was difficult for us to get recognition from enterprises before and it also took us a lot of time and energy to communicate and present. In recent years, thanks to the progress of various visualization tools, we obviously see that the number of enterprises that actively consult and start cooperation is increasing every year.

There is one issues we must point out here. Through all kinds of attempts over a long period of time, we found that 2D grading method is the main factor that hinders #DigitalTwin-Matching，and it can not meet the data requirement of #AIinFashion based on algorithm. Each size must be set in 3D version by 3D grading method in advance and then be converted to 2D patterns. In this way, small pieces patterns are possible to automatically match and combine with AI.

3D→2D→3D, the source must be the design in 3D state. Only in this way, the generated 2D pattern used for production and #3Dmodeling can restore the original 3D design on 3D human body. This step is irreversible.

In the 2D→3D way, if you do 3D modeling using the patterns generated in 2D Cad by 2D grading, automatically generating different sizes patterns according to a certain ratio, you can only get Imagine-Matching. You can not ensure the consistent fit&size of each size no matter how the design changes. On the other hand, even if the side lengthes or perimeters of the patterns of different sizes are the same, in order to ensure fit&size on the body, the shape of the 2D pattern must be modified according to different parts of the body, it means that it must be the pattern corrected by BodyBlock, otherwise, it can’t meet the accurate judgment terms using AI.

As one of our experimental cases shown in the picture, referred by #LouisVuitton‘s structural line, the shape of this small piece is different in each size by 3D grading after BodyBlock correction, that is impossible for 2D grading.

If we continue to use 2D grading method, it means that we choose to give up using AI, a powerful tool, and take another path.

In fact , we have figured out the working efficiency difference though our working experience statistics. Using 3D grading, once the interchangeable application based on #digital modular design management is formed, the average operation time of design and pattern-making is less than 1/10 of the traditional way, and even can be 1/32 when doing works for regular category.

That is to say, using the same method as SdibiT and doing 2-3 years #design data accumulation and management work, annual output of about 20000 looks like #ZARA will no longer be the benchmark of the industry, but the norm.

If there are investors who recognize our business judgement or relevant R&D teams, please contact us without hesitate. SdibiT looks forward to achieving the goal together with you and witnessing the unparalleled new experience and satisfaction brought to consumers by AI Fashion.

In short, as shown in the picture, this is one of the cases we have experimented repeatedly.
We generated body-block corrected patterns with reference to the construction lines of #Versace’s dress. Guests of different sizes can freely choose the parts of sleeves and skirts and do personalized combination to small pieces of patterns. Our designers and pattern makers do not need to do extra work. They only need to retrieve the pattern pieces from the style database according to customers’ requirements and output the final complete pattern. Then the factory can produce and deliver the same goods expected by end consumers.

In the next 3-5 years, we expect to improve the functions step by step, cooperate with excellent teams in the world, and gradually form a shopping mode connecting metaverse as the heroine X we discussed before.

At present, there is no other solution we can think of that is more environmental friendly.

11th Sep, 2022

We have explained our ideas and practices on sustainable fashion business model in #metaverse which is far more grand and diverse than the real world. Next, we would like to add a supplement opinion. What preconditions, preparations and integration methods are necessary to realize such a business model?
 
First of all, we clearly understand that to realize sustainable fashion in the physical world, the root solution is avoiding producing physical waste in every link. And the essential method is producing according to sales through #design and pattern making management.
 
Because metaverse breaks all kinds of physical boundaries and restrictions in real life, people can freely switch the clothes that only exist in the virtual world or the clothes that can be worn both in the real world and virtual world. Then, the part that may generate waste is the sales of physical clothes that also exist in metaverse.
 
Therefore, to avoid return and even disuse of clothes because of the big gap between the physical ones and virtual appearances, the technology that can be integrated into the metaverse is not simple imagine matching. It must be Digital-Twin Matching which can also confirm fit & size of the clothes.

For example, as for the well-known automatic driving and smart city, the integration of any industry with the metaverse will adopt the most appropriate integration mode according to the respective characteristics and target scenarios of the industry. However, no matter VR, AR or MR is used, it must undergo reality simulation, virtual modeling and digital management. For fashion industry, there is no exception.
 
Physical→PHGITAL→Digital, These are necessary routes.
1. Physical Digital fashion, the digital fashion which informs the way we produce physical fashion. The product therefore is physical.
2. Phygital fashion, physical and digital combined. The product is digital fashion that can be worn by humans.
3. Fully Digital fashion, sold direct to avatar.

Over the past 15 years, SdibiT has been aiming for the Phygital fashion, mastered the full methodology and know-how of the integration process.
1.Vhuman database establishment;
2. 3D clothing digital design pattern database based on Vhuman;
3. Interchangeable application based on digital modular management;
4. The integration of digital fabrics and designs has also been tested.
The preparation work has already been finished. Just like Bingo Game, we have arrived at the point waiting for the fifth one.

In the video, both images are about changing clothes, one is dazzling, the other is plain.
However, the essential difference is that SdibiT can ensure that whether the end consumer wear the clothes on his 3DAvatar or physical body, the general looking and fit&size effect are the same.

In fact, with the data and technology accumulation held by SdibiT, millions of different sets of clothing that can be worn in both virtual and real world can be generated. Limited by current platform(software&hardware), it cannot be visualized completely and adequately(to be explained later).

Now, we talk about fabric, one of the three major elements of clothing as people, design&pattern.

At present, the reality is that from the perspective of color and graphic, most fabric manufacturers rely on fashion prediction to develop and produce products. Ready-to-wear fashion designers only can do designs using fabric samples sent from fabric manufacturers, also relying on prediction of consumer demand. Following these steps, designers can not completely understand and respond to the real demands of end consumers. Each country, region and brand will also have different information because of their own policies. We believe that the waste and environmental problems caused by repeated procurement, repeated R&D and prediction errors need to be solved as soon as possible from the perspective of raw material resource allocation of fabrics. As mentioned before, if the Eco-friendly fabric with hard-working of R&D are not sold and turned into inventory, finally can only be discarded, is it contrary to the original intention of environmental protection?
Apart from the fabrics that must be dyed first in the process, we will talk about the solution for fabrics which can be printed or dyed with colors and graphics after weaving. And this solution can be put into use immediately.

Imagine the following scenario. The original white textiles before printing and dyeing made from materials bio or marine-degradable are allocated reasonably at cooperative factories around the world. After receiving the order from the end consumer, the system recognizes the delivery address, appoints the nearest factory that can print and produce according to consumer’s requirements to finish the order. Thus, the delivery logistic is the shortest distance. 

As shown in the picture, SdibiT has completed the integration test of #digital fabric and design. Although the number is small, we insist in involving consumers into #design process and delivering goods in this way. We are looking forward to cooperate with more partners to deepen our practice in the real world while exploring the feasible solution in #metaverse.

While the Metaverse brings new production and consumption processes, it will also cause changes in perceptions of reality and demands. Therefore,  it is expected that the sustainable development of the textile industry will be accelerated.

2nd Sep,2022

We believe that, roughly speaking, there are two major characteristics that distinguish human beings from other animals. The first is that human beings take the initiative to wear clothes to cover the body. The basic function of clothes is protecting the body. However, people like to wear different beautiful clothes for vision pleasure and self-expression. The clothes become a symbol to distinguish one person from another. The second characteristic is that human beings can create and use tools actively to achieve their own goals.

When people realize that the metaverse, which is much broader and diverse than the real world, is rapidly opening, they will definitely create or use various digital tools to generate more new forms of products in the new application scenarios to satisfy their spiritual needs. Looking at humans’ feature of wearing clothes, the traditional manufacturing process of clothing is at the expense of environmental pollution, and people have formed an unprecedented consensus that the earth is overwhelmed. We believe that the sustainable fashion business model in the metaverse will soon be divided into two types in the next few years.

First, if the purpose is only for vision pleasure or social contact in the virtual world, people will be willing to accept that clothes are presented in digital form, only exist in the virtual world, and do not need to be converted into physical objects. This kind of digital clothing supply can reduce the material waste and relieve environmental burden caused by pure whim. Fashion NFT works, character costumes in 3D animation or game, avatar’s dressing in metaverse, etc. will replace part of physical clothes and become more and more popular for entertainment or spiritual satisfaction.

The second is to develop and use digital tools to meet individual needs conveniently in the environment friendly way. From the perspective of convenience, people can do shopping without time and space limitation, confirm the wearing effect in a virtual state. From the perspective of environmental sustainability, people will increasingly tend to choose clothing that can faithfully restore the virtual effects they once recognized. The greatest satisfaction of people is that the service of this kind of digital clothing fully matches their personalized needs.

Imagine such a scenario. Everyone can have several Avatars of different styles in metaverse. One Avatar of them is originated from real body scanning shape data of the user. It can be called 3D Human Avatar.
 A female X may visit a clothing store in metaverse using her animation Avatar, crush on a certain garment that VHuman Avatar(virtual influencer) wearing. She can change into her 3D human Avatar and do virtual try-on fitting.

She likes it and decides to buy for her 3D human Avatar. Then this 3D human Avatar wearing on new garment continues to party with friends in the metaverse. Everywhere she goes, she is praised by everyone for her dressing style, and X has the desire to wear the same physical clothes to the business dinner in the real world.

So X places an order in the metaverse store, and the dress is directly sent to the hotel reception of her business dinner. The store in the metaverse will submit the image data of this dress to X’s personal wardrobe in the metaverse, which is convenient for her to retrieve and match with other virtual clothes from any other metaverse store . And because X has already paid for the same digital clothing, she can enjoy a discount or favorable price deducts the digital price for the physical dress, so X will be really happy with her double harvest. One week later, X arrives at the hotel and puts on the dress. The wearing effect is just the same as the virtual fitting in the metaverse. X looks gorgeous and has a pleasant meal with the client. The supply of this type of digital clothing cannot be achieved by the simple image matching type of digital clothing. In other words, it must be able to switch between the virtual and the real, including fit & size.
 
The prerequisite, of course, is to achieve a direct digital twin to the end consumer.
 
In fact, we already have experienced similar cases during our business practice in China 10 years ago. A female entrepreneur was too busy to have time go shopping for dress. She often asked us to provide photos of products which the style she likes and made selections. Then we packed the dress of her size and gave it to her driver. The driver often sent the dress directly to the hotel she stayed in Beijing. What we are proud of is that this customer has never returned or exchanged goods because of the wrong size.

Sdibit expects to provide more scalable services to customers of more brands. For example, a Chinese girl X likes a dress from a Japanese merchant online, confirms online virtual fitting effect, places an order and informs the merchant that she will travel to Italy, hoping to receive the dress in Italy. The merchant immediately transmits the design pattern and fabric data of the dress to the cooperative plant in Italy to start production. A week later, when X arrives Italy, she can be satisfied to wear the dress she ordered , save time and energy for pleasant sightseeing.

With the continuous improvement of hardware and software and the continuous accumulation of know-how, we believe that within the next 3-5 years, business model vision in the metaverse scenario will be realized one by one.
29th,Aug.2022

We are familiar with the word “Butterfly Effect”. Targeting the large ecological circle of the apparel industry, we know this industry actually has a very long industrial chain, and every link must be re-examined and considered from the perspective of sustainability. From the production of raw materials, spinning, fabric manufacturing technology, design and pattern-making, production, sales, packaging, logistics, business operation to consumers’ consumption concepts and habits……Every factor in the chain is closely related to the sustainability of the whole fashion industry.

International environmental protection organizations, national industry associations, leading textile and apparel brands, as well as some excellent designers and consumers with a high sense of social responsibility, are actively responding and participating, and conveying their sustainable attitudes in different ways. The industry’s efforts and attempts to achieve digital transformation in the sustainable direction now are mainly focused on R & D and adoption of Eco-friendly fabrics, popularization of environmental friendly production processes, construction of digital production workshops, and recycling.

A common point can be noticed here. The starting point of these solutions is basically how to mitigate the waste that will be generated or how to deal with the waste that has been generated. As an assumption, if the Eco-friendly fabric with hard-working of R&D are not sold and turned into inventory, finally can only be discarded, is it contrary to the original intention of environmental protection? Therefore, based on the accumulation, it is more necessary to use design thinking to capture the overall situation, find the core entry point that can control the entire link, and solve the problem fundamentally.

SdibiT takes another look at fashion industry with reverse thinking. The premise is not how to deal with the waste that will be generated or has been generated, but whether it can avoid waste from the beginning as much as possible. Focusing on the key part, design and pattern making, return to the origin purpose of fashion design, design for people and produce according to needs. Only in this way can we solve the wastes problem of the industry.

Take every step in detail. Use virtual display technology to receive fabric orders before producing physical products to reduce undesired fabric producing. Use 3D design and pattern making technology to reduce sample wastes. Apply variable BOM in manufacture process to fulfill variable needs and avoid abundant stocks. Use VR fitting technology in the sales process to lower return rate so as to reduce logistics pollution and packaging wastes.

For any environment friendly product, the length of its service is a main factor to judge its sustainability. Even if the brand pursues the principle of sustainability from raw materials to all links of the supply chain, if it produces a product that has never been purchased and used，finally being discarded in the warehouse, the product’s life cycle is “fleeting”, and the brand’s such producing behavior is against sustainable development in essence. Don’t you think so?
 
In the video, we can see that consumers can choose their favorite front, back, collar, pockets, colors, fabrics… participate in the construction process of Fashion LEGOs, and can also confirm the effect of the final design product and see how it looks when matching with other clothes. In this way, the daily ready-to-wear, which accounts for the largest proportion of clothing consumpti

on, obviously can get more accurate guidance for production style and number than the traditional way of market prediction commonly used currently. As a result, it is possible to produce only the required designs and quantities from the beginning, and eliminate the generation of the wastes from the root.

To go a step further, supported by the digital standardized pattern, we can take advantage of the apparel DIY system in the aftersales process and allow consumers to order the parts of their clothes and replace the old parts to extend the clothes using period.
Strive for the maximum radiation range of sustainable business model (butterfly effect).

Eco business is no longer an empty concept. Not only international organizations, multinational groups and large enterprises can lead and participate in. E-commerce platforms, small and medium-sized enterprises and even workshops and consumers, everyone can participate in Eco-business. And people participate in this eco business to fulfill their need for personalized design needs with strong willingness and sense of achievement. The behavior is done with happiness instead of reluctant feeling.

SdibiT’s data analysis and processing technology and knowhow originate from R&D team in Japan. In the past 15 years, we chose Chinese market as the No.1 business development target area because China’s clothing consumption, especially women’s wear consumption, is the largest in the world in terms of quantity. Putting our ideas and value propositions into practice is of great significance and value whether from the perspective of verifying and improving technical services or from the perspective of truly doing our best for environmental protection.

In China, through 15 years of accumulation and R&D improvement, SdibiT has been recognized by some enterprises and started to provide them with comprehensive technical services. In fact, although it was SdibiT who provided background data support service for the products in the video in the last submission, we published it after getting the permission from clients.

We sincerely appreciated our clients for fully supporting and adopting the comprehensive solution of sustainable fashion advocated by us. In every process, we worked together and did everything we can to work in detail under the principle of sustainability.

For example, considering the current textile production situation in China, new material fabric development period is long and the cost is high, the price is beyond our budget, so we use natural fiber fabrics mainly made of cotton, linen, silk and wool for all clothing fabrics including linings. These natural fabrics are degradable after being discarded. And we use white solid color fabrics as many as possible to reduce the pollution caused by dyeing.

In addition, the online VR fitting and matching system is used in the sales process, so that consumers can easily participate in the design and match process without time and space limitation. The application provides references for multiple matches with the designated one garment to prolong the garment’s life cycle and reduce wastes.

Most importantly, we combine the data assets of Chinese women’s body shape with the digital design of clothing. Based on the 3D VHuman model, we apply 3D design & pattern making technology and 3D visualization technology in the form of VR throughout the process to lead the design, development and marketing display. The technical logic is based on the data output of human body modeling, clothing modeling, accessory modeling, etc to realize the digital twin directly to consumers.

We have emphasized several times that SdibiT aims to provide solutions that do not generate physical waste as possible as we can from the start. And we focus on providing sustainable solutions for ready-to-wear that accounts for the largest proportion of products in the industry.
 
In fact, there are more and more consumers just want the fashion to satisfy their temporary visual enjoyment or spiritual entertainment, and have no desire for physical objects. Concerning this trend, we believe that using digital clothing to fit consumers’ own images is also a vital part of sustainable fashion. As shown in the pictures, SdibiT is confident to provide technical service in this area.

 
However, SdibiT currently focuses on providing sustainable solutions for physical ready-to-wear which accounts for the largest proportion of products in the industry.
 
We reduce the high return and exchange rate of online shopping by the following 3 means. First, we design according to customers’ requirements. Second, we produce and delivery only the quantity needed as possible as we can. Third, we ensure that the VR fitting we display is as same as the actual wearing effect on consumers. As a result, we solve the clothing waste disposal problem comprehensively from the root.

 
There is one achievement of VR fitting that we want to emphasize here. SdibiT can replace the reference Vhuman Avatar with the digital Avatar of consumers’ personal scanning data to further check the wearing effect. And we have recognized many issues may occur in practical applications.
 
The natural environment is already overwhelming. Fashion-loving citizens of the earth should also have a sense of responsibility for sustainable fashion, advocate a fashionable lifestyle friendly to nature, and lead a culture of data fashion. And the mission of digital technology is supporting and serving such healthy and sustainable lifestyle. Do you agree with it?
 
Now that we have gained a lot of useful application experience in the country with the largest number of clothing consumption, we look forward to cooperate with more partners in the world to expand our Eco fashion business.
 
14th Aug 2022

We have emphasized repeatedly that the foundation of successful digital transformation in the design and pattern making process lies in the use of structural design, establishing various types of 3D Digital Garment Model in advance. This is the key that even design varies depending on different cutting lines, the actual looseness commonly known as comfort of wearing on consumers can achieve a stable level. Therefore, the use of structural design is also the core of solution for【fit & size】.

Paper is similar with fabric. Many countries have the tradition of making paper art. Here, we take paper art creation works as an example to explain clothes structure. Most 3D paper art requires the use of both kirigami(paper cutting) and origami. The appearance and shape including the 3D infrastructure are established through kirigami(paper cutting) first. After the proportion balance, stability and aesthetics of the infrastructure are confirmed, origami decorations can be added or done directly in the reserved areas. Finally, the appearances are varied according to the theme of creation. The more excellent the basic structure done by paper cutting is, the more complete the decorative effect of origami can achieve. There is a common point in the experience sharing of excellent paper art works creators. Origami is not added at random, but added on the premise of not destroying the balanced beauty of the infrastructure. Sometimes, due to the limitations of the completed infrastructure of paper cutting, the original design scheme of origami will be modified, such as size, shape, adding position, etc., or even finally abandoned. On the other hand, it is rare to modify paper cutting design in order to preserve the design of origami.

Similarly, the basic 3D presentation of clothing is completed by structural lines, just like paper cutting. Any additional elements added to the surface of the garment can be considered equivalent to origami and belong to decorative design rather than basic silhouette structure design.

The core of SdibiT’s solution as well as its expertise is the use of structural design, establishing various types of 3D Digital Garment Model. That is complete various paper cutting accurately and effectively according to creation theme.

The 3D structural lines created under our digital management mode have two big advantages. One is that they can be retrieved and reused. Taking previous shapes and cutting positions as reference, new cutting lines can be created quickly. The other is that most design patterns generated by such kind of cutting lines can combine with each other.

As shown in the attached pictures, even if different paper cutting shapes(patterns) are used in front, back, left and right of the blouse, the silhouette shape and 3D structure still maintain balanced and stable.

We want to make it clear that the application of digital technology can not completely replace experienced craftsmen with superb professional skills. Compared with other manufacturing industries, the fashion industry has more artistic characteristics, and there is no unified standard for aesthetics. Meticulous customized design and craft such as the prestigious handmade suit customization store, will always exist. We believe that while maintaining traditional excellent elements, both customized clothes and ready-to-wear clothes creators should apply digital tech. effectively to create design works which are really needed by the market quickly and accurately.

The image of today’s attachment is an extended secondary creation made by our company’s interns based on the 3D digital garment model in the database. As the example we illustrated in the previous submission, the cutting lines are different in left and right, front and back. The intern worked with the company’s veteran employees with 20 years’ experience in manual draping, and spent 3 hours together to make the full set of pattern and display it in the form of video. It must be emphasized here that because origami is done after standardized paper cutting work, the design elements completed by draping in the designated parts can not only ensure the same wearing effect on ordinary consumers and VHuman, but also can be collected in the database as new design data and be combined with other design patterns, generating countless new looks. In other words, new varieties have been added to LEGO’s decorative parts library.

Digital technology and craft should be integrated more effectively. Digital technology provides accurate location judgment for craft and abundant reference information for brewing new creation. If the new creation is done on the standardized 3D digital garment model, it can be output as a design pattern for production instantly. At the same time, it can be combined with other patterns of the same specification, resulting in countless new looks.

We believe such efficient interaction will form the most critical shock wave, digital design creativity, to promote the digitization of the source of the industry.

Now, every link of the fashion industry chain is facing innovation, especially the design and pattern-making department which is like the brain center of the industry. They have to change their working content and rules. Compared with other departments, they are facing a more difficult problem of thinking transformation.

And it is also an unavoidable process for entrepreneurs seeking digital transformation and development.

Here, I think of a sentence said by Rosalynn Carter, the former first lady of the United States. I was so touched and I’d like to share with you:

A leader takes people where they want to go. A great leader takes people where they don’t necessarily want to go but ought to be.

31^st Jul, 2022

We believe the foundation of successful digital transformation in the design and pattern making process lies in the use of structural design, establishing various types of 3D Digital Garment Model in advance. Fashion brands can determine and establish 3D Digital Garment Models according to their own aesthetic criterion. What proportion is the most beautiful, what size and shape of each cross section should be, etc. But once the 3D Digital Garment Model is established, it can not be modified arbitrarily. It should keep stable as the DNA to brand to contribute to the accumulation and management of modularized and interchangeable design. Even the Models have to be modified due to change of body shape big data or target consumer group, they should be modified under the brand’s new criteria and keep stable for a long time.

And the application of these 3D Digital Garment Models should follow some standards. For example, the intersection point is fixed at the same position no matter how the cutting lines vary. This standardization management method requires modularized and compatible design on 3D Digital Garment Models. Such digital fashion design management mode is absolutely the core of our solution because this core can play following two key roles. 

First, we think that the key of giving consumers’ unique impression of one clothing brand is establishing the brand’s identification, and the key is consistent style and brand value conveyed to consumers. No matter how different design elements, fabrics, colors and patterns match and mix with each other to generate various looks every season, the representative outer shape of clothes is as the brand’s DNA, the key to enhancing brand identification. Take these products in life for example, the Coca-Cola glass bottles, Porsche sports cars, Chanel tweed coats, etc, you will find the easily recognizable products all have one thing in common, consistent outer shape. Therefore, to accurately control the brand information transmit of clothing outer shape DNA, we do fashion design on unified 3D Digital Garment Model.

Second, the design and pattern-making phase is just like the brain center of the entire apparel industry chain, issuing instructions to the synergy operations downstream. The development level of the brain directly affects the comprehensive competitiveness of brands in the industry. In the commodity development process, the full sharing of creators collaboration can be achieved, through digitization, standardization and component interchangeable transformation of design and pattern making phase.

The video only shows the tip of the iceberg of changing clothing designs. If following our digital design processing and management method, clothing is like LEGO, from a single design, creators can build up thousands of different looks by combining standard digital components.

In previous submissions, we talked about if following our digital design processing and management method, clothing can be designed like LEGO.
Because information silos are eliminated, new design patterns can be automatically generated through unlimited exchange combination, so as to form the brand teams’ or enterprise’s unique standardized design database, and greatly shorten the design expansion cycle.

We have repeatedly stated that SdibiT’s solution focuses on consumers. SdibiT makes virtual clothes for people to watch and order online. All the virtual clothes people see online can be produced into ready-to-wear goods offline, and immediately delivered to end consumers in need．
The ideal style which the consumer expects is the purpose of our data output. Take a dress as an example, looking at the design drawings or commodity brochures, it is often that consumers like looks that are not completely same as what they have seen. They may like brandX’s collar +brandY’s sleeve, or brandA’s front +brandB’s back +brandC’s hemline, or even one of the cutting lines that appeared in brandV’s haute couture designs. And we just meet their needs through our solution.

There are two major changes that everyone must be aware of.

First, with our solution, standardized design database is dynamic and constantly expanding. In addition, as this expansion is no longer limited by time and space, new design data can be added by different people working in synergy.
In standardized design database, the growth rate of design materials is no longer calculated in the traditional way of addition, but exponential multiplication.

Secondly, according to the actual needs of end consumers, fashion creators extract various structural lines or design elements from the design database and continuously combine them to generate new design patterns. The definition of original in the traditional sense will be subverted. LEGO, for example, uses the same standard parts and combines them to form kaleidoscopic shapes.
Can these final appearances of LEGO be claimed by the creator to be original of his own idea?
17th Jul, 2022

In the last submission, we showed SdibiT’s VHuman creation method. Watching the video, we can know that SdibiT creates 3D Digital Torsos in advance based on the target consumer groups’ body shape big data analysis and processing. And the shapes and values of each cross-section of these 3D Digital Torsos are standard data formed by precise calculation. So that the 3D digital torsos we make are in optimized body shape and this is the basis for making clothes that fit customers and can make their figures look better.

Today let’s go on our next session. How the garment pattern is generated?

How to convert the clothing design into industrial production patterns accurately and efficiently is the most difficult problem in the apparel industry. We believe that the 3D Digital Torso database building and its flexible application based on dynamic algorithm is the fundamental source of the digitization of apparel industry. Without the building of 3D Digital Torso database, any digital transformation solution cannot solve the key issue.

Therefore, our VHuman creation, virtual clothing design, conversion of 3D digital design to actual pattern for production, and final virtual display on VHuman, all these steps are performed on the unified 3D Digital Torso. This means we use the same 3D Digital Torso data throughout the entire digital solution process.

Here, we will explain our 3D design and pattern-making digital solution in comparison with the physical draping in traditional design studios. And we start from the basic point of prototyping.

In the process of physical draping, as human eyes are not X-ray machines, it is impossible to see the actual space between the fabric and physical mannequin from all perspectives. So it is very difficult to achieve the ideal looseness for each part in real time. In addition, human eyes are not omnidirectional camera. There is no way to view the real time condition from the front, side, back or top perspective at the same time. So if an adjustment is made at one part, it is very difficult to see the effect on the overall clothing. However, our digital technology can visualize the distance between fabric and torso, the aesthetic sense and even the proportion balance in the hollow state at the same time.

 

Now, after establishing the 3D Digital Torso as the basis, we enter the most decisive digital processing phase. We set the looseness value between the garment and the 3D digital torso according to the actual wearing looseness requirements of different types of clothes. Then 3D Digital Garment Models for different types of clothes can be generated after sophisticated simulation. All of our designs are made on these 3D digital Garment Models. This is the reason why even design varies depending on different cutting lines, the actual looseness commonly known as comfort of wearing on consumers can achieve a stable level.

As in the video posted last time, taking women’s blouse in East China as an example, you can see the 3D Digital Garment Model we provided for customers in the hollow state.

Next, on the digital blouse prototype model, directly restore the blouse design artwork, and then directly add the cutting line. In the process of 3D modeling, more excellent curves are recommended through precise simulation.  After confirming that the specified design is faithfully reproduced on the 3D Digital Garment Model, 2D patterns can be converted from 3D by flattening in real time. And the 2D pattern of actual size for clothing production is now generated.

You can also see in the video attached below that intersection points we marked on the digital garment model can correspond to the same point no matter how many different patterns are generated later. In other words, 3D Digital Garment Model is like human DNA to our solution.

It can be confirmed as DNA that the points are in the same position even if the shape of the pattern is different.

This is why we emphasize that the output of the 2D production pattern must be under the 3D digital verification. Because the current 2D #CAD software products cannot achieve such precise control.

12th,July,2022

As repeatedly mentioned in previous submissions, SdibiT makes virtual clothes for people to watch and order online. All the virtual clothes people see online can be produced into ready-to-wear goods offline, and immediately delivered to end consumers in need.
Therefore, our VHuman does not focus on the creation of ideal characters like animations, doing some surreal exaggeration; nor does it follow the popular way of fashion brands, using gorgeous face and three circumference values as supermodels, or amazing figures such as 8heads tall even 10heads tall. In Japanese culture, having a small head is one of the most important factors of beauty. Many young women wish they were eight heads tall, which means the ratio of her head and her total height is 1 to 8. It’s considered the ideal body proportion. Take our No.1 official V-model Dibi as an example, she is not made in this beauty standard, but as normal as the sweet girl next door who just has slightly slender legs.
we have seen the generation of Dibi as shown in the video posted previously. In fact, we will first generate an Avatar(3D Digital Torso) based on the analysis and processing of Chinese female body shape data assets accumulated over 15 years according to the target customer group.The shape and value of each cross-section are standard data formed by precise calculation. After processing, a 3D digital torso with optimized body shape and smooth curves is formed. And Dibi’s main body is created as similar as possible to our 3D digital torso.
A regrettable issue must be mentioned here, because the current #3Dmodeling of human body mainly focuses on cool and beautiful visual effect, and almost does not directly provide service tools for the actual supply chain of the apparel industry. When we create a V-human, even though the data assets and data processing technology we already have can make the output display results closer to the state of #digitaltwin, due to some limitation of the software, we can’t completely adjust the shape according to our calculation result which most conforms to the real human body. Regarding this little gap between digital model and reality, we expect partners with software tools to work together to eliminate the gap.

Today, our company in Wuxi, China is facing the crisis of not being able to commute normally for the next few days because of the epidemic policy. Since the mood of online meeting is not very good, we simply take a break and have a serious discussion here.
6th Jul, 2022

How VHumans are generated, this topic is very important. Because the display of virtual clothing is as same as physical clothing, it needs a carrier or medium like hanger or model to display from different angles in a three-dimensional and comprehensive way. In this way, it can release or transmit various information. What kind of carrier you use to display the clothing basically determines your target group. In other words, it determines what kind of mentality people will have when seeing this clothes, even the whereabout and final result of this garment can be predicted. After watching the picture or video, will people stop on the [watch], or will they continue to operate, such as saving the image or changing other tools to continue other gameplay, or will they have the desire to convert it into physical objects and ware the actual clothes right away?
In our current range of knowledge, apart from humans, no other creatures need clothing. Whether in digital world or real world, clothing exists only for people. People dress animals in costumes because they think it is ritualistic, visually pleasing, or expressing love. As for what do animals think, OMG no comment…
Therefore, we believe that virtual clothing can be divided into two major categories according to people’s requirement. One is only for visual appreciation or entertainment, and the other is expected to be converted into physical clothing in real life.
SdibiT makes virtual clothes for people to watch and order online. All the virtual clothes people see online can be produced into ready-to-wear goods offline, and immediately delivered to end consumers in need. Therefore, we must think from the perspective of ordinary consumers. What kind of virtual display can convince consumers that they can place orders without misgiving according to their shopping experience and habits? And there will be no follow-up returns and exchanges due to information asymmetry. Now, you must have the conjecture that what kind of VHuman is used for display is the decisive factor.
For current online shopping, it is very difficult for consumers to make objective and accurate shopping judgment according to commodity pictures. Because the height and figure of the model wearing the clothes is very different from ordinary people. And this kind of pictures are processed by tools like PS. 40% of the root causes of returns and exchanges after online shopping are people’s dissatisfaction with clothes wearing on themselves considering fit and size. This is what we usually call【Buyer show vs. Seller show】.
Specifically, we can see the generation of Dibi, our No.1 official V-model, as shown in the video. In fact, we will first generate an Avatar(3D Digital Torso) based on the analysis and processing of Chinese female body shape data assets accumulated over 15 years according to the target customer group.

(to be continued…)