Upload a room photo and receive multiple AI-generated redesigns in various styles, with replaced furniture, colors, and layouts.
Apply predefined interior design styles (e.g., Mid-Century Modern) or describe your own vision via text prompts to guide the AI.
Manually adjust specific elements like wall colors, flooring, and furniture placement using brushes, sliders, and object-aware masks.
Get clickable links to purchase furniture and decor items similar to those visualized in your AI designs from retail partners.
Save, organize, and share design projects with clients or team members via secure links and collaborative boards.
Homeowners use AI Decor Pro to visualize potential renovations before committing to purchases or contractors. They upload photos of outdated rooms, experiment with different styles and layouts, and generate realistic previews to guide decisions. This reduces costly mistakes and helps communicate vision to professionals, ensuring alignment and confidence in design choices.
Real estate agents and stagers upload empty or cluttered property photos to create appealing virtual staging. They generate furnished, styled images that highlight a property's potential, making listings more attractive online. This virtual staging is cost-effective compared to physical staging, allowing for multiple style options to appeal to diverse buyer tastes.
Interior designers use the tool to quickly produce multiple concept visuals for client presentations. Starting with client room photos, they generate varied designs to explore options and refine preferences collaboratively. This accelerates the ideation phase, enhances client engagement, and provides a tangible starting point for detailed plans and sourcing.
Renters who cannot make permanent changes use AI Decor Pro to visualize non-invasive updates like furniture arrangements, removable wallpaper, and decor accents. They see how new items will look in their space before buying, maximizing style within rental constraints and avoiding purchases that don't fit the room's scale or lighting.
Furniture retailers and e-commerce sites integrate or recommend AI Decor Pro to help customers visualize products in their own homes. Customers upload a room photo and see how specific furniture pieces would look in context, reducing purchase hesitation and returns. This enhances the online shopping experience and increases conversion rates.
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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.
