Only Text जनरेटिव्ह इंटीरियर डिझायन साधन by Zichun Shao

Only Text जनरेटिव्ह इंटीरियर डिझायन साधन by Zichun Shao is a highly esteemed winner of the very prestigious 2023 A' Design Award लोह पुरस्कार in जनक, अल्गोरिदमिक, पॅरामेट्रिक आनी AI-सहाय्यित डिझायन Competition Category.

लोहजनक· 2023

Only Text जनरेटिव्ह इंटीरियर डिझायन साधन

by Zichun Shao

Client: Zichun Shao

A' Design Award लोह पुरस्कार Winner in जनक Category

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Verified Award Winner
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View at A' Design Award Press Release Award Badge

Colors

The Design

About Only Text जनरेटिव्ह इंटीरियर डिझायन साधन

फकत टेक्स्ट हें एक जनरेटिव्ह डिझायन साधन आसा जें बरयल्ल्या वर्णनांतल्यान इंटीरियर डिझायनाच्यो प्रतिमा तयार करता. हें साधन व्यावसायीक इंटीरियर डिझायनाखातीर प्रशिक्षीत केल्ल्या डिफ्यूजन मॉडेलाचेर आदारिल्लें आसा. प्रशिक्षण डेटा सेट तयार करपाखातीर 20,000 परस चड इंटीरियर रेंडरिंग्स गोळो करून डिझायनरांनी लेबल केल्यो. फकत टेक्स्ट सोबीत काही सेकंदांनी एक इंटीरियर दृश्य तयार करूंक शकता, ज्यांत निवडिल्ली सजावट शैली आनी जागेची वैशिष्ट्यां आसतात. टेक्स्ट संपादीत करून परतून तयार केल्यार तपशील बदल्ले वता. ह्या पद्दतीन हाताभशेन मॉडेलिंग आनी रेंडरिंग काडून उडयता, देकून क्लायंटांकडे बरेच पर्याय वेगान वांटूं येता.

The Recognition

About the A' Design Award लोह पुरस्कार

Only Text जनरेटिव्ह इंटीरियर डिझायन साधन ही A' Design Award लोह पुरस्काराची विजेती आसा, बऱ्या रितीन रचल्ल्या निर्मितींकडल्यान अपेक्षित व्यावसायिक आनी औद्योगिक गरजो पुराय करपी बऱ्या रचनांक दिवपी प्रतिष्ठीत मान्यताय. लोह विजेते तांच्या निर्मात्यांचें व्हड कौशल्य, उच्च विशेषज्ञताय, तज्ञाची समज आनी सर्जनशील क्षमता दाखयतात. Only Text जनरेटिव्ह इंटीरियर डिझायन साधन ही खूब मान मेळपी, कौतुक जावपी आनी जिव्हाळ्याची, व्यावहारीक आनी नाविन्यपूर्ण निर्मिती जावंक जाय अशी अपेक्षा आसा. हे लोह पुरस्कार जिखिल्ले रचन उद्योगांतले उत्कृष्ट सराव एकठांय करता आनी ज्ञान आनी प्रतिभेन जोडिल्ले सक्षम तांत्रिक गुण आसपी आसा. Only Text जनरेटिव्ह इंटीरियर डिझायन साधन परिपूर्णतायेक लागून मानाक पात्र आसा आनी जिणेचो दर्जो सुदारून संवसार चड बरो करपाखातीर रचल्ल्यान आसा.

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.