Interior AI Hub
Professional-grade generative interior design and virtual staging for the next era of architecture.
Enterprise-grade spatial intelligence for automated virtual staging and interior architecture.
DecorVision AI represents a paradigm shift in spatial computing for the real estate and interior design sectors. Built on a proprietary fine-tuned Flux-based Diffusion architecture, the platform specializes in high-fidelity semantic segmentation and photorealistic style transfer. By 2026, it has positioned itself as the industry leader for 'Vision-to-Render' workflows, allowing users to transform raw architectural sketches or empty room photographs into fully furnished, lighting-optimized environments in under 30 seconds. Unlike generic generative models, DecorVision AI maintains strict structural integrity, ensuring that walls, windows, and load-bearing elements remain unaltered while the interior aesthetics are reimagined. The technical core utilizes depth-map estimation and PBR (Physically Based Rendering) texture synthesis to ensure that virtual objects interact naturally with real-world light sources. This tool is designed for enterprise scalability, offering robust API endpoints for CRM integration, allowing real estate marketplaces to automate virtual staging across thousands of listings simultaneously, significantly reducing the cost-per-listing compared to traditional 3D modeling services.
Uses computer vision to isolate existing furniture and clutter, allowing for complete room clearing while preserving architecture.
Professional-grade generative interior design and virtual staging for the next era of architecture.
Professional-grade AI virtual staging and interior design for real estate and architects.
Professional AI-powered virtual staging and interior design for real estate marketing.
Transform conceptual sketches and empty spaces into photorealistic interior renders in seconds.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Physically Based Rendering integration that calculates realistic light bounces from windows and fixtures.
Enterprise users can train custom Low-Rank Adaptation models on their own furniture catalogs.
Maintains design elements across different photos of the same room using spatial anchoring.
Converts 2D photos into rough 3D OBJ files for further refinement in professional software.
Allows users to upload a 'mood board' image to guide the color palette and furniture selection.
Generates descriptive alt-text and metadata for rendered images for real estate SEO.
Empty houses sell slower and for lower prices.
Registry Updated:2/7/2026
Post to MLS
Customers struggle to imagine how furniture looks in their specific home.
Visualizing wall removals or window additions before construction starts.