Only Text Generative Ynterieurûntwerpark by Zichun Shao

Only Text Generative Ynterieurûntwerpark by Zichun Shao is a highly esteemed winner of the very prestigious 2023 A' Design Award yn Izer in Generatyf, Algoritmysk, Parametrysk en AI-stipe Ûntwerp Competition Category.

IzerGeneratyf· 2023

Only Text Generative Ynterieurûntwerpark

by Zichun Shao

Client: Zichun Shao

A' Design Award yn Izer Winner in Generatyf Category

43,980

Verified Award Winner

Verify Award Status for #150725

View at A' Design Award Press Release Award Badge

Colors

The Design

About Only Text Generative Ynterieurûntwerpark

Boektekst: Only Text is in generatyf ûntwerpark dat ynterieurûntwerpôfbyldings makket út skriftlike beskriuwingen wei. It ark is basearre op in diffúzjemodel dat traind is foar profesjoneel ynterieurûntwerp. Mear as 20.000 ynterieurrenderings binne sammele en fan labels foarsjoen troch ûntwerpers om de trainingsdataset te foarmjen. Only Text kin binnen in pear sekonden in ynterieurbyld generearje, mei in keazen ynrjochtingsstyl en romte-attributen. Details wurde oanpast troch de tekst te bewurkjen en opnij te generearjen. Dizze wurkwize makket hânmjittich modellearjen en renderjen oerstallich, wêrtroch in protte opsjes fluch mei kliïnten dield wurde kinne.

The Recognition

About the A' Design Award yn Izer

Only Text Generative Ynterieurûntwerpark is in winner fan de A' Design Award yn Izer, in prestisjeuze erkenning foar goede ûntwerpen dy't foldogge oan de profesjonele en yndustriële easken dy't ferwachte wurde fan goed ûntwurpen skeppings. Izerwinners litte grutte feardigens, hege spesjalisaasje, deskundich begryp en kreatyf fermogen fan har makkers sjen. Fan Only Text Generative Ynterieurûntwerpark wurdt ferwachte dat it in tige heech achte, bewûndere en dierbere skepping is dy't praktysk en ynnovatyf is. Dit winnende ûntwerp fan de A' Design Award yn Izer yntegrearret de bêste praktiken fan de sektor en hat feardige technyske skaaimerken ferbûn mei kennis en talint. Only Text Generative Ynterieurûntwerpark wurdt respektearre foar syn yngeandens en is ûntwurpen om ferbetteringen fan de kwaliteit fan it libben te leverjen dy't helpe de wrâld ta in bettere plak te meitsjen.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

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.
Dimensions & Packaging: 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
Production 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.
Design 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.
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. This method eliminates the need for manual modeling and rendering, which improves 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.
Project Duration: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Operation Flow: 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.