Only Text Generativno orodje za notranje oblikovanje – avtor Zichun Shao

Delo Only Text Generativno orodje za notranje oblikovanje avtorja Zichun Shao je izjemno cenjeni dobitnik prestižne nagrade 2023 Železna nagrada A' Design Award v tekmovalni kategoriji Generativno, algoritemsko, parametrično in z UI podprto oblikovanje.

ŽeleznaGenerativno· 2023

Only Text Generativno orodje za notranje oblikovanje

avtor/ica: Zichun Shao

Naročnik: Zichun Shao

Dobitnik nagrade Železna nagrada A' Design Award v kategoriji Generativno

44,535

Potrjeni dobitnik nagrade

Preverite status nagrade za #150725

Ogled na A' Design Award Sporočilo za javnost Značka nagrade

Barve

Dizajn

O dizajnu Only Text Generativno orodje za notranje oblikovanje

Only Text je generativno orodje za oblikovanje, ki ustvarja slike notranje opreme na podlagi pisnih opisov. Orodje temelji na difuzijskem modelu, usposobljenem za profesionalno oblikovanje interjerjev. Za oblikovanje učnega nabora podatkov je bilo zbranih in oznamčenih več kot 20.000 upodobitev notranjih prostorov, ki jih so oznamčili oblikovalci. Only Text lahko v nekaj sekundah ustvari pogled na notranjost z izbranim dekorativnim slogom in prostorskimi lastnostmi. Podrobnosti se spremenijo z urejanjem besedila in ponovnim generiranjem. Metoda odpravlja potrebo po ročnem modeliranju in upodabljanju, zato je mogoče stranki hitro predstaviti številne možnosti.

Priznanje

O nagradi Železna nagrada A' Design Award

Only Text Generativno orodje za notranje oblikovanje je prejemnik Železne nagrade A' Design Award, prestižnega priznanja, ki se podeljuje dobrim oblikovanjem, ki izpolnjujejo profesionalne in industrijske zahteve, pričakovane od dobro zasnovanih stvaritev. Prejemniki Železne nagrade kažejo veliko spretnost, visoko specializacijo, strokovno razumevanje in ustvarjalne zmožnosti svojih ustvarjalcev. Od Only Text Generativno orodje za notranje oblikovanje se pričakuje, da bo visoko cenjena, občudovana in ljubljena stvaritev, ki je praktična in inovativna. To oblikovanje, nagrajeno z Železno nagrado A' Design Award, vključuje najboljše prakse panoge in ima kompetentne tehnične lastnosti, povezane s strokovnim znanjem in talentom. Zaradi svoje temeljitosti si Only Text Generativno orodje za notranje oblikovanje zasluži spoštovanje in je zasnovan tako, da zagotavlja izboljšave kakovosti življenja, ki pomagajo narediti svet boljši kraj.

V ozadju dizajna

Komplet za medije

Zasluge, člani ekipe in tehnične podrobnosti, ki jih je posredoval oblikovalec.

Edinstvene lastnosti: 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.
Dimenzije in embalaža: 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.
Oznake: Artificial intelligence, Human-computer collaboration, Interior design, Generative design, Text generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Proizvodna tehnologija: 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.
Oblikovalski izziv: 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.
Raziskave: 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.
Inspiracija: 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.
Trajanje projekta: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Potek delovanja: 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.