DeepTexture AI
Enterprise-Grade Neural PBR Generation and Seamless Material Synthesis.
Transform 2D images into production-ready 3D models in minutes with AI-powered precision.
Kaedim is a cutting-edge AI platform designed to automate the conversion of 2D images into high-fidelity 3D assets. Positioned as a mission-critical tool for game developers, e-commerce brands, and architectural visualizers in 2026, Kaedim leverages a proprietary machine learning architecture that moves beyond simple depth mapping to generate structured mesh topology. Its technical superiority lies in its hybrid 'Human-in-the-Loop' quality assurance model, ensuring that every generated asset meets industry standards for quad-based topology and UV unwrapping. In the 2026 landscape, Kaedim serves as the bridge between rapid conceptualization and final production, significantly reducing the bottleneck of manual 3D modeling. The platform has expanded its capabilities to include automatic PBR (Physically Based Rendering) texturing and seamless integration with major engines like Unreal Engine 5 and Unity. By offering a robust API and specialized plugins for DCC (Digital Content Creation) tools like Blender and Maya, Kaedim has transitioned from a standalone generator to a foundational infrastructure for automated 3D pipelines, catering to enterprises that require scalability in asset generation for the metaverse and spatial computing.
Algorithms that calculate optimal 2D projections of 3D meshes to minimize texture stretching.
Enterprise-Grade Neural PBR Generation and Seamless Material Synthesis.
Professional-grade 3D asset generation from single images and text prompts via Large Reconstruction Models.
The global standard for 3D garment simulation and high-fidelity pattern-based digital clothing.
Enterprise-grade text-to-3D generation utilizing cascaded diffusion and score distillation sampling.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Generates complete material sets including base color, metallic, and roughness maps from a single image.
AI model specifically trained to produce clean quad meshes suitable for animation and subdivision.
Optional manual review layer where 3D artists verify and fix AI-generated geometry before delivery.
Native integration modules for Blender, Unity, Unreal Engine, and Nvidia Omniverse.
User-defined parameters for edge-count and vertex density to target specific hardware performance.
RESTful API designed for programmatic asset generation at scale.
Manual 3D modeling takes days, slowing down the development of prototype levels.
Registry Updated:2/7/2026
Developer tests gameplay with the asset immediately
Traditional photogrammetry is expensive and requires physical studios.
Unique furniture or decor items are often missing from standard 3D libraries.