Interior AI Hub
Professional-grade generative interior design and virtual staging for the next era of architecture.
Architectural-grade AI interior design and virtual staging for real estate and renovation.
DecorBot represents a significant leap in spatially-aware generative AI for the interior design industry. Built upon a proprietary fine-tuned SDXL architecture integrated with advanced ControlNet depth-mapping, DecorBot enables professional-grade room transformations while maintaining strict structural integrity. By 2026, the platform has evolved from simple image overlays to a sophisticated spatial intelligence system that recognizes load-bearing elements, window placements, and existing lighting conditions to generate physically plausible design iterations. Its technical stack utilizes segment-anything-models (SAM) to allow users to selectively mask and regenerate specific pieces of furniture without altering the entire room's geometry. Positioned as a mission-critical tool for real estate agents and interior designers, DecorBot reduces staging costs by 95% compared to physical rentals. The 2026 market positioning focuses on 'Photorealistic Accuracy,' moving beyond the artistic hallucinations typical of early-stage AI design tools. Its backend API allows for seamless integration into PropTech marketplaces, enabling dynamic 'click-to-restyle' features on property listing pages, significantly increasing buyer engagement and conversion metrics through personalized visual experiences.
Uses SAM (Segment Anything Model) to precisely isolate furniture for targeted regeneration.
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.
Uses ControlNet to ensure generated furniture adheres to the 3D geometry of the original room photo.
A dedicated engine for changing textures (marble, wood, tile) while maintaining original highlights and shadows.
Matches interior lighting based on the light source detected in window views.
Advanced in-painting to remove clutter and regenerate the background hidden behind it.
Enterprise-only feature to train LoRA models on a specific brand's furniture catalog.
Neural radiance fields (NeRF) inspired adjustment of global illumination.
Empty homes look smaller and less inviting on real estate sites.
Registry Updated:2/7/2026
Homeowners struggle to visualize new cabinet colors and countertops.
Commercial tenants cannot visualize open-plan potential.