IJzer Generatief · 2023
Only Text Generatieve Interieurontwerptool
by Zichun Shao
- A' Design Award in IJzer 2023 in Generatief
- CLIENT: Zichun Shao
- Estimated Number of Design Views: 43,980
- Verification code 3DD17AA8F3 · Verify this award
Colors
About Only Text Generatieve Interieurontwerptool
Only Text is een generatieve ontwerptool die interieurontwerpafbeeldingen creëert op basis van geschreven beschrijvingen. De tool is gebaseerd op een diffusiemodel dat is getraind voor professioneel interieurontwerp. Meer dan 20.000 interieurweergaven werden verzameld en gelabeld door ontwerpers om de trainingsdataset te vormen. Only Text kan binnen enkele seconden een interieurbeeld genereren, met een gekozen decoratiestijl en ruimtelijke kenmerken. Details worden aangepast door de tekst te bewerken en opnieuw te genereren. Deze methode maakt handmatig modelleren en renderen overbodig, waardoor veel opties snel met klanten kunnen worden gedeeld.
About the A' Design Award in IJzer
Only Text Generatieve Interieurontwerptool is winnaar van de A' Design Award in IJzer, een prestigieuze erkenning die wordt toegekend aan goede ontwerpen die voldoen aan de professionele en industriële eisen die worden verwacht van goed ontworpen creaties. Winnaars in IJzer tonen grote vaardigheid, hoge specialisatie, deskundig inzicht en het creatieve vermogen van hun makers. Only Text Generatieve Interieurontwerptool wordt verwacht een hooggewaardeerde, bewonderde en gekoesterde creatie te zijn die praktisch en innovatief is. Dit ontwerp dat de A' Design Award in IJzer heeft gewonnen, integreert de beste praktijken uit de sector en heeft bekwame technische kenmerken die verbonden zijn met knowhow en talent. Only Text Generatieve Interieurontwerptool wordt gerespecteerd om zijn grondigheid en is ontworpen om verbeteringen van de levenskwaliteit te bieden die helpen de wereld een betere plek te maken.
Press Kit
- 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.
