Automatically analyzes uploaded room photos to identify architectural elements like walls, floors, windows, doors, and existing furniture using computer vision.
Applies different interior design styles to user's rooms, generating photorealistic visualizations of how various aesthetics would look in their actual space.
Allows users to add, remove, and rearrange virtual furniture in their room photos with proper scaling, perspective, and lighting adjustments.
Suggests coordinated color schemes for walls, furniture, and accents based on design principles and current trends, showing how they would look in the user's specific lighting conditions.
Generates shopping lists with links to purchase actual furniture and decor items that match the AI-suggested designs from various retailers.
Creates consistent design views from different perspectives of the same room, allowing users to see how designs work from various vantage points.
Homeowners planning to redecorate a living room, bedroom, or kitchen can upload photos and experiment with different styles before committing to purchases. They can visualize how new furniture would fit, test paint colors on their actual walls, and see how lighting changes would affect the space. This reduces costly mistakes and helps create cohesive designs that work with existing architectural features.
Landlords and property managers can virtually stage vacant properties to make them more appealing to potential tenants. By showing how spaces could be furnished and decorated, they help renters visualize themselves living there. This is particularly valuable for empty properties that might otherwise feel cold or uninviting during showings.
Professional interior designers use AI Decorator to quickly create multiple design concepts for client review. Instead of spending hours on manual renderings, they can generate several options showing different styles, color schemes, and furniture arrangements. This accelerates the design process and helps clients make decisions by seeing realistic visualizations of proposed designs.
Real estate agents can showcase a property's potential by creating virtual staging and redesign concepts. For dated properties, they can show how simple updates would transform the space, potentially increasing perceived value. This helps buyers see beyond existing decor and understand the property's true potential.
Furniture stores and home decor retailers integrate AI Decorator technology to help customers visualize products in their own homes. Customers can upload room photos and see how specific furniture pieces would look in their space before purchasing. This reduces return rates and increases customer confidence in online furniture shopping.
Renters who cannot make permanent changes to their spaces use AI Decorator to explore non-permanent decor options. They can visualize how removable wallpaper, area rugs, furniture arrangements, and accessories would transform their rental within landlord restrictions. This helps create personalized spaces without violating lease agreements.
Sign in to leave a review
15Five operates in the people analytics and employee experience space, where platforms aggregate HR and feedback data to give organizations insight into their workforce. These tools typically support engagement surveys, performance or goal tracking, and dashboards that help leaders interpret trends. They are intended to augment HR and management decisions, not to replace professional judgment or context. For specific information about 15Five's metrics, integrations, and privacy safeguards, you should refer to the vendor resources published at https://www.15five.com.
20-20 Technologies is a comprehensive interior design and space planning software platform primarily serving kitchen and bath designers, furniture retailers, and interior design professionals. The company provides specialized tools for creating detailed 3D visualizations, generating accurate quotes, managing projects, and streamlining the entire design-to-sales workflow. Their software enables designers to create photorealistic renderings, produce precise floor plans, and automatically generate material lists and pricing. The platform integrates with manufacturer catalogs, allowing users to access up-to-date product information and specifications. 20-20 Technologies focuses on bridging the gap between design creativity and practical business needs, helping professionals present compelling visual proposals while maintaining accurate costing and project management. The software is particularly strong in the kitchen and bath industry, where precision measurements and material specifications are critical. Users range from independent designers to large retail chains and manufacturing companies seeking to improve their design presentation capabilities and sales processes.
3D Generative Adversarial Network (3D-GAN) is a pioneering research project and framework for generating three-dimensional objects using Generative Adversarial Networks. Developed primarily in academia, it represents a significant advancement in unsupervised learning for 3D data synthesis. The tool learns to create volumetric 3D models from 2D image datasets, enabling the generation of novel, realistic 3D shapes such as furniture, vehicles, and basic structures without explicit 3D supervision. It is used by researchers, computer vision scientists, and developers exploring 3D content creation, synthetic data generation for robotics and autonomous systems, and advancements in geometric deep learning. The project demonstrates how adversarial training can be applied to 3D convolutional networks, producing high-quality voxel-based outputs. It serves as a foundational reference implementation for subsequent work in 3D generative AI, often cited in papers exploring 3D shape completion, single-view reconstruction, and neural scene representation. While not a commercial product with a polished UI, it provides code and models for the research community to build upon.
