Only Text Generative na Kasangkapan para sa Disenyo ng Interyor by Zichun Shao is a highly esteemed winner of the very prestigious 2023 A' Design Award na Bakal in Heneratibo, Algoritmiko, Parametriko at Disenyong Tinulungan ng AI Competition Category.
BakalHeneratibo· 2023
Only Text Generative na Kasangkapan para sa Disenyo ng Interyor
by Zichun Shao
Client: Zichun Shao
A' Design Award na Bakal Winner in Heneratibo Category
Verified Award Winner
Verify Award Status for #150725The Design
About Only Text Generative na Kasangkapan para sa Disenyo ng Interyor
Ang Only Text ay isang generative na kasangkapan sa disenyo na lumilikha ng mga imahe ng disenyo ng interyor mula sa mga nakasulat na paglalarawan. Ang kasangkapan ay batay sa isang diffusion model na sinanay para sa propesyonal na disenyo ng interyor. Mahigit 20,000 interior rendering ang kinolekta at nilagyan ng label ng mga designer upang bumuo ng training data set. Ang Only Text ay makakalikha ng tanawin ng interyor sa loob lamang ng ilang segundo, kasama ang piniling istilo ng dekorasyon at mga katangian ng espasyo. Nababago ang mga detalye sa pamamagitan ng pag-edit sa teksto at muling paglikha. Inaalis ng pamamaraang ito ang manu-manong modeling at rendering, kaya't maraming opsyon ang maaaring ibahagi nang mabilis sa mga kliyente.
The Recognition
About the A' Design Award na Bakal
Ang Only Text Generative na Kasangkapan para sa Disenyo ng Interyor ay nagwagi ng A' Design Award na Bakal, isang prestihiyosong pagkilalang iginagawad sa mga mahuhusay na disenyong tumutugon sa mga propesyonal at pang-industriyang kinakailangang inaasahan sa mga mahusay na pagkakadisenyong likha. Ang mga nagwagi ng Bakal ay nagpapakita ng dakilang husay, mataas na espesyalisasyon, dalubhasang pag-unawa at kakayahang malikhain ng kanilang mga lumikha. Inaasahang ang Only Text Generative na Kasangkapan para sa Disenyo ng Interyor ay isang lubos na pinahahalagahan, hinahangaan at minamahal na likhang praktikal at makabago. Ang disenyong ito na nagwagi ng A' Design Award na Bakal ay nagsasama ng pinakamahuhusay na kasanayan ng industriya at may mahuhusay na katangiang teknikal na may kasamang kaalaman at talento. Ang Only Text Generative na Kasangkapan para sa Disenyo ng Interyor ay iginagalang dahil sa kaingatan nito at idinisenyo upang maghatid ng mga pagpapabuti sa kalidad ng buhay na tumutulong gawing mas mabuting lugar ang mundo.
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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