Only Text Generatiewe Binnenshuise Ontwerpinstrument deur Zichun Shao

Die ontwerp Only Text Generatiewe Binnenshuise Ontwerpinstrument deur Zichun Shao is 'n hoogs gewaardeerde wenner van die baie prestigieuese 2023 A' Design Award in Yster in die Generatiewe, Algoritmiese, Parametriese en KI-Ondersteunde Ontwerp-kompetisiekategorie.

YsterGeneratief· 2023

Only Text Generatiewe Binnenshuise Ontwerpinstrument

deur Zichun Shao

Kliënt: Zichun Shao

Wenner van die A' Design Award in Yster in die Generatief-kategorie

44,535

Geverifieerde Toekenningswenner

Verifieer Toekenningsstatus vir #150725

Bekyk by A' Design Award Persverklaring Toekenningskenteken

Kleure

Die Ontwerp

Oor Only Text Generatiewe Binnenshuise Ontwerpinstrument

Only Text is 'n generatiewe ontwerpinstrument wat binnenshuise ontwerpbeelde uit geskrewe beskrywings skep. Die instrument is gebaseer op 'n diffusiemodel wat opgelei is vir professionele binnenshuise ontwerp. Meer as 20 000 binnenshuise weergawes is versamel en deur ontwerpers geëtiketteer om die opleidingsdatastel te vorm. Only Text kan binne 'n paar sekondes 'n binnensicht produseer, met 'n gekose dekorasiestyl en ruimte-eienskappe. Besonderhede word verander deur die teks te wysig en weer te genereer. Die metode skakel handmatige modellering en weergawe uit, sodat baie opsies vinnig met kliënte gedeel kan word.

Die Erkenning

Oor die A' Design Award in Yster

Only Text Generatiewe Binnenshuise Ontwerpinstrument is 'n wenner van die A' Design Award in Yster, 'n prestigieuse erkenning wat toegeken word aan goeie ontwerpe wat voldoen aan die professionele en industriële vereistes wat van goed ontwerpte skeppings verwag word. Wenners in Yster toon groot vaardigheid, hoë spesialisasie, kundige begrip en die kreatiewe vermoë van hul skeppers. Daar word verwag dat Only Text Generatiewe Binnenshuise Ontwerpinstrument 'n hoog aangeskrewe, bewonderde en gekoesterde skepping is wat prakties en innoverend is. Hierdie ontwerp wat die A' Design Award in Yster gewen het, integreer die beste praktyke in die bedryf en het bekwame tegniese kenmerke gekoppel aan kundigheid en talent. Only Text Generatiewe Binnenshuise Ontwerpinstrument word gerespekteer vir sy deeglikheid en is ontwerp om verbeterings in lewensgehalte te bied wat help om die wêreld 'n beter plek te maak.

Agter die Ontwerp

Persstel

Krediete, spanlede en tegniese besonderhede verskaf deur die ontwerper.

Unieke Eienskappe: 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.
Afmetings & Verpakking: 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.
Etikette: Artificial intelligence, Human-computer collaboration, Interior design, Generative design, Text generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Produksietegnologie: 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.
Ontwerpuitdaging: 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.
Navorsing: 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.
Inspirasie: 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.
Projekduur: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Bedryfsvloei: 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.