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GenAI-Powered Fabric Design

Innovative Fabric Patterns creation:
Leverages Generative Adversarial Networks (GANs) and Neural Style Transfer to create unique fabric that blend traditional aesthetics with modern AI technology.

Neural Style Transfer Algorithm:
  • Merges content images (base fabric design) with style images (textures, color schemes, patterns).
  • The content image provides structure and layout, while the style image contributes aesthetic features.
  • The algorithm minimizes the difference between the original images and the generated design, preserving the fabric’s base structure and integrating artistic styles.
User Interface (UI):
  • Allows image uploads for both content and style images.
  • Provides sliders to adjust the ratio between “content contribution” (retaining original design) and “style contribution” (influencing the design with style elements).
  • Designers can preview real-time iterations, experimenting with different settings before finalizing a design.
Creative Flexibility:
  • Utilizes StyleGAN for high-quality image synthesis.
  • Uses Cycle GAN for unpaired style transfer, enabling transformations without the need for paired data.
Workflow:
  • Fabric image collation, pre-processing, image classification, model training, validation, and a design feedback loop.
  • Enables designers to create high-quality synthetic saree samples that blend tradition with cutting-edge innovation.
Result Images

TCG Digital