LightWave 3D
Professional 3D modeling, animation, and rendering with a production-proven dual-app workflow and real-time engine bridges.
High-fidelity 3D garment modeling and object-centric synthesis for the future of digital apparel.
Fashion-Objax is a cutting-edge 3D garment modeling framework and high-fidelity dataset architecture designed to solve the complex geometric challenges of digital fashion. As of 2026, it has become a foundational infrastructure for AI Solutions Architects building virtual try-on (VTO) and digital twin pipelines. Technically, the system utilizes object-centric representations, moving beyond simple voxel grids to high-resolution mesh generation with detailed UV mapping and texture consistency across 360-degree viewpoints. Its architecture is optimized for latent diffusion models, allowing for the synthesis of realistic clothing items from single-view 2D images. The platform is strategically positioned in the market to serve high-end retail brands and game development studios requiring anatomically accurate clothing simulations that maintain physical properties such as drape, fold dynamics, and material transparency. By providing a standardized schema for garment attributes, Fashion-Objax enables seamless interoperability between generative AI outputs and industry-standard CAD software like CLO3D or Marvelous Designer.
Ability to distinguish and reconstruct overlapping layers (e.g., a jacket over a shirt) as independent 3D objects.
Professional 3D modeling, animation, and rendering with a production-proven dual-app workflow and real-time engine bridges.
Instant 2D to 3D interior visualization for rapid space planning and real estate staging.
Accelerate product innovation with AI-driven generative design and real-time simulation.
Professional-grade digital identity generation with sub-millimeter facial accuracy and real-time animation.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Neural-driven cloth simulation that predicts how specific fabrics will react to gravity and movement.
Automatically assigns PBR (Physically Based Rendering) maps for roughness, metallic, and normal properties based on visual analysis.
Uses SMPL-X body mesh integration to ensure clothing fits standard digital human models perfectly.
Allows users to modify garment attributes (e.g., sleeve length, collar type) via vector manipulation in the latent space.
Generates quad-dominant meshes optimized for animation rather than high-density triangle soup.
Deep labeling of garment parts (cuffs, hems, buttons) for detailed customization.
Creating 3D assets for thousands of SKUs is traditionally expensive and slow.
Registry Updated:2/7/2026
Retailers need realistic clothing that maps to user body shapes accurately.
Manually modeling hundreds of background NPCs with unique clothing.