ShanghaiTech University and other institutions jointly launched an innovative 3D clothing modeling tool called DressCode, which can generate exquisite 3D clothing models with simple text descriptions. The core of the model is the SewingGPT module, which can parse text semantics, generate structured design instructions, and combine with advanced cloth dynamics algorithms to simulate real cloth physical properties, ultimately generating a 3D clothing model with realistic and dynamic effects. DressCode supports a variety of material selections, rich virtual models and action libraries, and provides a friendly user interface, which is convenient for designers and non-professionals to use, greatly improving the efficiency of 3D content development, and providing services for VR/AR, film and television, games and e-commerce. Bring significant convenience to other areas.
Product entrance: https://top.aibase.com/tool/dresscode
DressCode can not only generate clothing styles based on user text prompts, but can also choose different materials, such as wool, lace and silk. In addition, it will add real lighting effects to help designers see how clothing will look in different scenarios. Such functions are undoubtedly an important tool for designers in fields such as VR, AR, film and television, game development, and e-commerce to improve the efficiency of 3D content development.
Among them, SewingGPT is the core module of DressCode. It is based on the Transformer architecture and focuses on understanding the semantics of text and generating relevant content. When the user enters a description, such as "Design a summer cotton dress with a V-neck, pleated waist, and A-line hem," SewingGPT will parse the keywords and generate a series of structured design instructions. These instructions include not only the appearance characteristics of the garment, but also the specific ways of cutting and sewing to ensure the implementability of the design.
These instructions are then passed to the 3D modeling engine and combined with the fabric physical property database for modeling. In order to make the generated 3D clothing more realistic, DressCode uses an advanced cloth dynamics algorithm, which can simulate the behavior of cloth in motion, such as the formation of pleats and the swinging effect of skirts.
In order to better display these 3D models, DressCode also provides a wealth of customizable virtual models, and users can choose different body types and skin colors. At the same time, the system has a built-in action library that can support various settings from static displays to complex catwalks, allowing users to comprehensively evaluate the dynamic performance of clothing.
In terms of operation, DressCode is also very user-friendly. Users can view the details of clothing from multiple angles through simple rotation, zoom and move operations, making it very suitable for non-professional designers.
** Highlights: **
✨DressCode is an innovative model that allows users to generate 3D clothing by simply entering a text description.
? The SewingGPT module parses the text and generates structured design instructions to ensure the design is implementable.
?DressCode integrates advanced cloth dynamics algorithms to make 3D clothing behave naturally and realistically in motion.
All in all, DressCode has brought revolutionary changes to the field of clothing design with its powerful text understanding capabilities, efficient modeling process and realistic rendering effects, greatly improved work efficiency and provided designers with new creations experience. Its convenient operation method also allows non-professionals to easily get started and create stunning 3D clothing works.