- Client Profile:
A New York-based eCommerce startup developing AI technology for the fashion industry, specializing in creating 3D clothing models from 2D images for avatars. - Challenge:
Building an AI-powered solution to accurately and efficiently convert 2D photos of garments into realistic 3D models. The system needed to handle diverse clothing types while maintaining high fidelity in textures, folds, and fabric details, enabling use in virtual fashion applications. - YITEC’s Solution:
- Developed advanced deep learning models to transform 2D clothing images into detailed 3D models.
- Successfully implemented the technology for six different garment types, ensuring realistic representation and scalability.
- Leveraged generative AI to produce photorealistic textures and dynamic cloth movements for enhanced realism.
- Core Technology:
- Neural Rendering: To achieve lifelike visual outputs in 3D models.
- Computer Vision: For analyzing garment structure and features in 2D images.
- Pytorch: As the primary framework for model training and deployment.
- Stable Diffusion: To refine textures and improve output quality.
- GAN (Generative Adversarial Networks): For high-quality reconstruction of 3D garments.
- Key Results Delivered:
- Completed AI-powered 3D conversion for six distinct clothing types with exceptional accuracy.
- Reduced the time to create 3D clothing models by over 70%, streamlining the creative pipeline.
- Delivered a scalable system ready to accommodate more garment types and industry applications.
- Value to the Client:
- Positioned the client as an innovator in AI-driven virtual fashion for the eCommerce industry.
- Enhanced customer experience with realistic 3D virtual try-ons, driving engagement and sales.
- Provided a scalable foundation for further advancements in AI-powered fashion solutions.
A New York-based eCommerce startup developing AI technology for the fashion industry, specializing in creating 3D clothing models from 2D images for avatars.
Task
Building an AI-powered solution to accurately and efficiently convert 2D photos of garments into realistic 3D models