Kaedim
Transform 2D images into production-ready 3D models in minutes with AI-powered precision.
Accelerate 3D workflows with Generative AI for instant asset creation and scene composition.
Dream3D is an advanced generative AI platform designed to collapse the traditional 3D production pipeline from weeks to minutes. Built on a foundation of proprietary spatial diffusion models and neural radiance fields (NeRF), the platform enables creators to generate production-ready 3D assets, high-resolution PBR (Physically Based Rendering) textures, and complex scene layouts using natural language or 2D image inputs. By 2026, Dream3D has positioned itself as the premier middleware solution for indie game studios and architectural visualization firms, bridging the gap between conceptual art and functional 3D geometry. Its architecture emphasizes topological optimization, ensuring that generated meshes are not only visually accurate but also performant for real-time engines like Unreal Engine 5 and Unity. The platform incorporates a unique 'Constraint-Driven Generation' engine, allowing users to specify exact dimensions and bounding boxes before the AI initiates the synthesis process, solving the common 'hallucination' issues found in earlier 3D AI tools.
Uses a latent diffusion process that maintains geometric integrity across all 360 degrees of the object.
Transform 2D images into production-ready 3D models in minutes with AI-powered precision.
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.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Automatically identifies and separates logical parts of a 3D model (e.g., wheels on a car).
Generates PBR materials based on textual descriptions without requiring base textures.
AI-driven retopology that targets specific poly-counts while maintaining silhouette.
Extracts lighting information from images and applies it as HDRi environments.
Applies artistic styles (e.g., 'Cyberpunk', 'Low-Poly', 'Clay') to existing geometry.
Allows users to input CAD-style constraints (length, width, height) for AI generation.
Small teams lack the budget for high-volume 3D asset creation.
Registry Updated:2/7/2026
ArchViz scenes require hundreds of unique, non-repeating decorative assets.
High cost of manual 3D modeling for product visualization.