Technology Overview
Last updated
Last updated
Balda AI employs a two-phase processing architecture:
Predefined Mesh Templates: Choose from a library of versatile mesh templates optimized for design synthesis across categories like dresses, jackets, and trousers.
Neural Rendering Optimization: Our algorithms map user inputs to garment structures, achieving accurate silhouettes, proportions, and structural attributes.
Automatic Scaling and Pose Adaptation: Ensures garments fit a wide range of avatars without manual adjustments.
Latent Diffusion Model (LDM) Integration: Generate intricate textures and patterns that rival real-world textiles.
ControlNet Inpainting Techniques: Fill in missing details for seamless, realistic garment designs.
Iterative User Feedback: Interactive previews let users fine-tune designs in real-time for unmatched customization.
Latent Diffusion Models (LDM): Achieve photorealistic textures and patterns with precision.
Neural Mesh Rendering: A revolutionary approach to aligning garment meshes with designs.
ControlNet Inpainting: Automatically resolves missing details in garment textures, ensuring design integrity.
Adaptive Morphology: Dynamic fitting ensures avatars of all shapes and sizes wear garments that look flawless.
Cryptographic Identity: Secure and authenticate your digital garments with blockchain-backed ownership.