Cedar Studio
Generative AI for instant architectural feasibility and automated urban design optimization.
Turn empty rooms into high-converting listings in seconds using Generative AI.
AI Virtual Stager represents the 2026 standard in PropTech, utilizing a sophisticated diffusion model architecture specifically fine-tuned on high-end interior design datasets. The platform leverages depth-estimation neural networks (like MiDaS or DPT) to understand 3D room geometry from 2D photos, allowing for photorealistic furniture placement with accurate shadows and perspective. Its market position is solidified by its proprietary 'Furniture-Context-Aware' engine, which ensures that generated items do not overlap with structural elements like windows or doors. As of 2026, the tool has shifted from simple image generation to a comprehensive asset management system for realtors, offering API-level integration for CRM and MLS platforms. The technical stack involves a hybrid of GAN-based refinement for texture accuracy and Stable Diffusion XL (SDXL) pipelines for creative furniture synthesis. This tool addresses the critical market gap between expensive, slow human-led virtual staging and low-quality automated filters, providing professional-grade 4K outputs in under 30 seconds. It is a vital component for digital-first real estate marketing, enabling agencies to showcase multiple design aesthetics (e.g., Mid-century Modern vs. Scandi) for the same property at no additional logistical cost.
Uses AI to calculate light source position and generate mathematically accurate shadows for inserted furniture.
Generative AI for instant architectural feasibility and automated urban design optimization.
Specialized AI Conversational Agents for Real Estate Lead Qualification and Automated Workflow Execution
Transform property management into a predictive, automated engine through intelligent maintenance triage and conversational leasing.
Predictive Intelligence and Agentic Workflows for High-Yield Real Estate Portfolios
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A semantic segmentation model that identifies and removes existing furniture, inpainting the background realistically.
Generates 5 different interior design themes for a single room simultaneously.
Extrapolates 2D photos into a basic 3D mesh to ensure furniture scaling is accurate to room dimensions.
Maintains existing floor and wall textures while updating the furniture assets.
Automated triggers that push staged photos directly to real estate listing platforms.
Automatically adjusts dynamic range and color balance of the original photo before staging.
Empty rooms look smaller and uninviting, making it hard for buyers to visualize living space.
Registry Updated:2/7/2026
Listings with old, cluttered furniture deter high-value buyers.
Empty shells of office buildings fail to show potential layout for tech companies.