AI Wave Rises Again: The Key Now is Real-World Application

Recently, artificial intelligence has witnessed groundbreaking technological advancements. DeepSeek, with its self-developed R1 model, has sparked widespread attention and heated discussions in the industry. The company has successively launched DeepSeek V3, DeepSeek R1, and Janus-Pro multimodal models, all of which demonstrate outstanding performance leadership with their extremely low computational costs.

Also based in Hangzhou, Style3D is a technology innovation company deeply involved in the digital fashion industry. The fashion sector, particularly apparel, has a complex structure and vast data, making vertical model applications crucial. Style3D has successfully deployed DeepSeek’s full range of models locally, integrating DeepSeek’s powerful capabilities with fashion industry models. This deep integration of large language and multimodal models, along with industry database analysis, has greatly improved semantic accuracy and decision-making precision.

Style3D AI Model Technology: An Innovation Built on Solid Foundations

Style3D AI integrates generative AI with advanced 3D modeling and rendering techniques to optimize the production process, seamlessly transforming digital models into photoshoot-ready assets. By harnessing the power of deep learning, it creates highly realistic digital representations, accurately replicating human body shapes, textures, and dynamic movements. This is achieved through extensive model training on vast human image datasets, covering diverse facial features, expressions, and skin types. Multi-round training ensures consistency across varying conditions, while offering a high degree of personalization to meet specific needs.

Style3D AI has introduced an innovative technical framework, utilizing two different training strategies to simultaneously learn domain-specific data knowledge. It has also proposed an improvement to the diffusion model's underlying structure through the Texture-preserving Attention Control (TAC) mechanism. This mechanism effectively ensures the preservation of structural information during the generation of realistic images, addressing the challenge of rendering highly realistic fashion images from digital models.

Deeply Scenified Applications: The True New Productivity

Style3D AI has successfully applied its technology in marketing with products like Style3D iWish. This AI-powered tool generates realistic images, enhances clothing with a single click, and swaps scenes, enabling fast production of high-quality garment images. The technology accelerates product launches in e-commerce, boosting marketing efficiency and speeding up the availability of new fashion items to consumers.

Style3D’s AI applications have also revolutionized garment production workflows, particularly in robotic arm training. By combining simulation technology with AI, Style3D collects real-time data on joint torque, movement speed, and positional deviations, allowing for precise adjustments to the robotic arm’s motion trajectory and grip force. This dynamic optimization improves accuracy, significantly reducing training cycles and enhancing operational efficiency in the apparel manufacturing process.

The integration of AI and simulation technology for virtual robotic arm training is becoming a core technology in the industrial manufacturing field, improving production efficiency and ensuring safety. It provides strong technical support for smart factories and the advancement of Industry 4.0.

AI+3D: Making Fashion More "Realistic"

Garment pattern design and quick style adjustments still rely heavily on 3D, but Style3D takes it a step further by deeply integrating AI with 3D. The upcoming flagship product, Studio V8.0, features built-in AI-enhanced image renderer (iWish), bridging the gap in the realism of 3D digital assets.

In V8.0, AI has significantly optimized clothing presentation, particularly in fabric wrinkles and texture. It accurately reproduces fabric characteristics and preserves garment craftsmanship details. Model details, such as finger joints, skin texture, and toe shapes, are rendered with greater finesse. The generation effect is more controllable and consistent, reducing the need for extensive upgrades and optimizations.

The updated iWish in Studio V8.0?makes it easier for brands to review, select, and recommend?styles. It allows for a comprehensive display of garment designs, enabling the rapid production of high-definition, multi-angle clothing detail images, and pre-sell them in advance to seize market opportunities.

Final Thoughts

As applications continue to evolve, Style3D Research will further deepen the research on industry-specific large models, accelerating the transition of AI applications in the fashion industry from single workflows to the true AI Agent. We believe that in the near future, the release of fashion AI agent will continue to lead the digital and intelligent transformation of the fashion industry, bringing new technological capabilities and more efficient solutions to the entire industry.

Main source of the article: Gaofeng He, Senior Algorithm Engineer at Style3D

Editors: Christian Hu , Zhouzhou