Bryan Boyer, an assistant professor in the Taubman College of Architecture and Urban Planning over at the University of Michigan, has launched an innovative new architecture app that is designed to make it easier than ever for designers to go about incorporating images and renderings of people into their graphical depictions of architectural spaces.
The 'People Party!' app allows users to go about accessing an automatically generated database of human figures based on U.S. Census Bureau data about the particular city or town of interest. Users can search for individuals with specific poses as well as advanced filters such as age.
By using evidence-based diversity to create representative depictions of people for architectural renderings, this architecture app helps designers and architects do a better job of conveying how the spaces that they're designing will serve the needs of people and communities.
Dynamically Diverse Architecture Apps
This App Helps Designers Create Realistic Human Depictions
Trend Themes
1. Evidence-based Representation - By using evidence-based diversity to create representative depictions of people for architectural renderings, this app presents an opportunity for companies to create more representative marketing materials.
2. Advanced Filtering - With advanced filters such as age, companies can automate the process of producing demographic-specific marketing materials, creating an opportunity for companies to save time and money while becoming more representative.
3. Automated Image Generation - As technology advances and more sophisticated datasets become available, there will be opportunities for companies to create more engaging and realistic visualisations of their products, services or spaces using automated image generation.
Industry Implications
1. Architecture - With new technology for creating image-based representations of architecture, there is an opportunity for architects and designers to create more functionally representative designs and more realistic visualisations of physical spaces.
2. Marketing and Advertising - By using apps that generate automatically-generated images based on specific filters and criteria, marketers can create more representative and diverse advertising campaigns that resonate with a wider audience.
3. Technology - As more datasets become available and image generation algorithms become more sophisticated, there will be opportunities for tech companies to create new AI-powered automated image generation technologies for a variety of use cases.