Only Text Generative Design by Zichun Shao Wins the A' Design Award in Generative, Algorithmic, Parametric and AI-Assisted Design

Zichun Shao acknowledged for generative, algorithmic, parametric and ai-assisted design by the international grand jury of the 2022 - 2023 A' Design Award & Competition

FOR IMMEDIATE RELEASE

COMO, Italy, April 20, 2023 /DesignNewswire/ Only Text Generative Design by Zichun Shao has been granted the A' Design Award in the Generative, Algorithmic, Parametric and AI-Assisted Design category, A' Design Award & Competition has announced. The result belongs to the 2022 - 2023 A' Design Award & Competition and was decided through blind peer review by an international grand jury panel of established academics, design professionals and press members, who scored anonymized entries against predetermined criteria.

The A' Design Award Explained

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.

Regarding Only Text Generative Design

Only Text is a generative design tool that creates interior design images from written descriptions. The tool is based on a diffusion model trained for professional interior design. More than 20,000 interior renderings were collected and labeled by designers to form the training data set. Only Text can produce an interior view in a few seconds, with a chosen decoration style and space attributes. Details are changed by editing the text and generating again. The method removes manual modeling and rendering, so many options can be shared with clients quickly.

About Zichun Shao

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.

Award Record

With this recognition, Zichun Shao is a winner of 1 A' Design Award.

About the A' Generative, Algorithmic, Parametric and AI-Assisted Design Award

The A' Generative Design Award is an international design competition recognizing good generative designs from leading creators and designers worldwide. The competition is organized within the A' Design Award & Competition and is open to generative designers, algorithmic design professionals, ai-assisted design experts and parametric designers from all countries. Entries typically include algorithmic artworks, parametric architectures, generative graphics, ai-assisted illustrations, computational sculptures and procedural patterns. Awarded generative designs are published at https://dezigners.org/design-category/generative

About A' Design Award & Competition

A' Design Award & Competition is an international, juried design accolade organized annually since 2008. The competition is open to entries from all countries. The A' Design Award has a philanthropic mission to advance society through good design by recognizing and promoting superior products, projects and services that benefit society, and by creating a global awareness and appreciation for good design practices and principles. Entries are peer reviewed and anonymously evaluated by an international grand jury panel of established academics, design professionals and press members against predetermined criteria such as functionality, ergonomics, engineering, presentation, innovation, usability, sustainability and technology, with score normalization applied to remove biases. Awards are conferred at Platinum, Gold, Silver, Bronze and Iron levels. The A' Design Prize granted to eligible laureates includes the award trophy, the certificate of design excellence, the hardcover yearbook, a lifetime license to use the A' Design Award winner logo, exhibition of awarded works, an invitation to the gala night and award ceremony in Italy, inclusion in the World Design Rankings and Designer Rankings, and public relations and publicity services. Registration, the upload of a work and the preliminary score are free of charge, and Professional and Digital Edition laureates are not contractually obliged to pay further fees to claim the A' Design Prize. Further information is available at https://competition.adesignaward.com

Press Resources

Winner Page: https://dezigners.org/150725
A' Design Award Page: https://competition.adesignaward.com/150725
Media Showcase: https://www.designnewsroom.com/!150725
Laureate Profile: https://dezigners.org/d/344395

Media Contact

Giulia Ferrari, Press Office
Designers.Org
Via Leone Leoni 32, 22100 Como, Italy
press@designers.org
+39 031 4491953

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Fact Sheet

The Work

Project: Only Text Generative Design
Function: Generative Design
Category: Generative, Algorithmic, Parametric and AI-Assisted Design
Discipline: Design Strategy
Industry: Innovation and Design Industry
Colors: Dark Gray, Silver, Light Gray, Gray and Black
Images: 5

The Recognition

Laureate: Zichun Shao
Country: China
Recognition: A' Design Award
Edition: 2022 - 2023
Design ID: #150725

Design Details

Unique Properties: 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.
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.
Research: 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.
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.
Realization and 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.
Operation and 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.
Specifications: 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.
Keywords: Artificial intelligence, Human-computer collaboration, Interior design, Generative design, Text generative design, Efficient design, Rapid modification, Controllable design, Decoration style control