CORE TECHNOLOGY

StyleSwap leverages cutting-edge Generative Adversarial Networks (GANs) to create hyper-realistic clothing simulations that go far beyond simple 2D overlays.

Generative AI

Uses StyleGAN and CycleGAN to generate synthetic images that capture fabric texture, shadows, and folds with photorealistic accuracy.

Pose Estimation

Algorithms like OpenPose detect key body points to map the user's unique physique and posture in 3D space.

Neural Rendering

Simulates physical fabric properties including draping, stretch, and light reflection for natural-looking fit.

Tech Visualization

THE WORKFLOW

  • 01User uploads a full-body photo
  • 02AI analyzes body shape and posture
  • 03Garment is segmented and mapped to body mesh
  • 04Neural rendering applies fabric physics
  • 05Final HD image generated in < 15 seconds