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Only Text Sesebediso sa Motheo sa Moralo oa Tlhaho oa Kahare by Zichun Shao

Only Text Sesebediso sa Motheo sa Moralo oa Tlhaho oa Kahare by Zichun Shao is a highly esteemed winner of the very prestigious 2023 Moputso oa Tšepe oa A' Design Award in Moralo wa Tlhahiso, Algorithimi, Paramethrike le AI Competition Category.


TšepeTlhahiso· 2023

Only Text Sesebediso sa Motheo sa Moralo oa Tlhaho oa Kahare

by Zichun Shao

Client: Zichun Shao

Moputso oa Tšepe oa A' Design Award Winner in Tlhahiso Category

Colors

The Design

About Only Text Sesebediso sa Motheo sa Moralo oa Tlhaho oa Kahare

Mongolo o Feletseng: Only Text ke sesebelisoa sa moralo o hlahisang se hlahisang litšoantšo tsa moralo oa kahare ho tsoa litlhalosong tse ngotsoeng. Sesebelisoa sena se thehiloe holim'a mmotlolo oa diffusion o koetlisitsoeng bakeng sa moralo oa kahare oa boiphihlelo. Ho bokelletsoe le ho beoa mabitso ke baetsi ba meralo lieta tse fetang 20,000 tsa ponahalo ea kahare ho theha sete ea data ea koetliso. Only Text e ka hlahisa pono ea kahare ka metsotsoana e seng mekae, e nang le mokhoa oa mokhabiso o khethiloeng le litšobotsi tsa sebaka. Lintlha tse qaqileng li fetoloa ka ho fetola mongolo le ho hlahisa hape. Mokhoa ona o tlosa mosebetsi oa ho etsa mefuta ka matsoho le ho hlahisa ka matsoho, kahoo likhetho tse ngata li ka arolelanoa le bareki ka potlako.

The Recognition

About the Moputso oa Tšepe oa A' Design Award

Only Text Sesebediso sa Motheo sa Moralo oa Tlhaho oa Kahare ke mohapi oa Moputso oa Tšepe oa A' Design Award, kananelo e hlomphehang e fuoang meralo e metle e finyellang litlhoko tsa porofeshenale le tsa indasteri tse lebelletsoeng ho lintho tse hlahisitsoeng tse entsoeng hantle. Bahapi ba Tšepe ba bontša bokhoni bo boholo, bokhethehi bo phahameng, kutloisiso ea litsebi le bokhoni ba boqapi ba baqapi ba bona. Only Text Sesebediso sa Motheo sa Moralo oa Tlhaho oa Kahare e lebelletsoe ho ba ntho e hlahisitsoeng e hlomphuoang haholo, e ratoang le e ratehang, e sebetsang le e nang le mehopolo e mecha. Moralo ona o hapileng Moputso oa Tšepe oa A' Design Award o kenyelletsa mekhoa e metle ka ho fetesisa ea indasteri mme o na le litšobotsi tsa theknoloji tse nang le bokhoni tse amanang le tsebo le talenta. Ka lebaka la botlalo ba eona, Only Text Sesebediso sa Motheo sa Moralo oa Tlhaho oa Kahare e tšoanelehela tlhompho mme e entsoe ho fana ka ntlafatso ea bophelo e thusang ho etsa hore lefatše le be sebaka se molemo.

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.

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