Only Text Generative Design by Zichun Shao |
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| DESIGN NAME: Only Text PRIMARY FUNCTION: Generative Design INSPIRATION: 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. UNIQUE PROPERTIES / PROJECT DESCRIPTION: 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. OPERATION / FLOW / INTERACTION: 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. PROJECT DURATION AND LOCATION: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023. FITS BEST INTO CATEGORY: Computer Graphics, 3D Modeling, Texturing, and Rendering Design |
PRODUCTION / REALIZATION TECHNOLOGY: 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. SPECIFICATIONS / TECHNICAL PROPERTIES: The project uses diffusion model technology, using artificial intelligence to cooperate with designers to generate designs of different decorative styles. We retrained a professional interior design AI to quickly create designs with varying decoration styles. TAGS: Artificial intelligence, Human-computer collaboration, Interior design, Generative design, Text generative design, Efficient design, Rapid modification, Controllable design, Decoration style control RESEARCH ABSTRACT: 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. CHALLENGE: 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. ADDED DATE: 2023-03-13 08:22:31 TEAM MEMBERS (1) : IMAGE CREDITS: Zichun Shao, 2022. |
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NAME: Zichun Shao PROFILE: Zichun Shao is an architect and landscape architect. She holds a bachelor's degree in design and is currently studying for a master's degree in architecture at Macau University of Science and Technology. Her work has participated in many exhibitions in 2021, and won the first prize of the Delft University of Technology China Symposium; the third prize of the second Hakka Cup Design Competition; the Excellent Design Award for the Protection and Regeneration of Rural Built Heritage from the Perspective of Safety Culture ; "First Prize" in Weihong Community Living Room Design Contest. |
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Only Text Generative Design by Zichun Shao is Winner in Generative, Algorithmic, Parametric and AI-Assisted Design Category, 2022 - 2023.· Press Members: Login or Register to request an exclusive interview with Zichun Shao. · Click here to register inorder to view the profile and other works by Zichun Shao. |
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