Generative Design for Zichun Shao
Only Textinterior designers mainly rely on renderings to communicate with customers. This project uses designers to cooperate with artificial intelligence AI to generate interior renderings to improve design efficiency. This project trained an AI to generate interior designs, and the ai was given text to create a design. Designs can be generated using this method in seconds and modified through text. Human-computer cooperation in design is a new approach to interior design.
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The design was done by artificial intelligence (AI) in collaboration with designers. This project has trained an AI for professional interior design generation, which can generate interior designs with different decoration styles according to the input text. It only takes a few seconds for AI to generate a new interior design, and it can quickly generate a large number of designs for communication with users, thereby improving design efficiency.
Artificial intelligence, Human-computer collaboration, Interior design, Generative design, Text generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Ordinary AI cannot generate interior design according to specific "decoration style" and "space attributes," which is a fatal flaw for interior design. To this end, this project collected more than 20,000 interior design renderings, labeled them to make a data set and gave the data set to AI for learning, thus creating an AI suitable for interior design. The AI can generate interior renderings specifying "decorative style" and "space attributes" by inputting text.
The challenge of this design is to build a professional interior design AI that generates designs of high quality and correct decor. To this end, this project asked professional designers to collect and label tens of thousands of interior design images and then handed over the filtered data to AI for training. Make AI understand what is "decorative style," "spatial attributes," and "aesthetic attributes" and generate an interior design with a specified decorative style.
The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
1. Professional designers collect interior design images and mark and screen them. 2. Use the filtered data to train a professional interior design AI. 3. Designers use AI to design. 4. The designer inputs the design text description into the AI to specify the decoration style. 5. AI generates the interior design of the specified decoration style. 6. Modify the unsatisfactory details in the design through text description, and regenerate the design. 7. After adjusting the text description and generating it multiple times, a good design is obtained.
Research Background: Interior design communication is complex, and obtaining designs and communicating with customers quickly is necessary. Methods: This project trained an AI to generate interior designs professionally and used the AI to collaborate with humans to create interior designs in various decorative styles from the text. Results: Using the AI trained in this project, designers can generate an interior design rendering in just a few seconds. Insights: This project approach rapidly generates large batches of interior designs for specified decor styles and spatial properties and allows new designs to be generated by modifying text. This method eliminates the need for manual modeling and rendering, which improves design efficiency.
It is difficult for users to imagine the scheme described by the designer in words. Designers need to turn thinking into design quickly. With the development of artificial intelligence (AI), designers can generate designs directly from text. Specifically, this project trained an AI to create interior design, which can generate interior design only by inputting text, improving communication efficiency between designers and users.
Only Text Generative Design has been a Iron winner in the Generative, Algorithmic, Parametric and AI-Assisted Design award category in the year 2022 organized by the prestigious A' Design Award & Competition. The Iron A' Design Award is awarded to good designs that meet the rigorous professional and industrial standards set by the A' Design Awards. This recognition is reserved for works that demonstrate a solid understanding of design principles and show creativity within their execution. Recipients of the Iron A' Design Award are acknowledged for their practical innovations and contributions to their respective fields, providing solutions that improve quality of life and foster positive change. These designs are a testament to the skill and dedication of their creators, showcasing their ability to address real-world challenges through thoughtful design.
For design images and photos please credit Zichun Shao.
Zichun Shao was recognized with the coveted Iron A' Design Award in 2023, a testament to excellence of their work Only Text Generative Design.
For journalists seeking engaging content: Explore our press releases featuring Zichun Shao's work, freely available for incorporation into your stories. Instantly access 1 press releases, available exclusively for journalists.
An Innovative Project by Zichun Shao in Guangzhou, China, 2023
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