Only Text Alaik Desain Interior Generatif by Zichun Shao

Basi Generatif · 2023

Only Text Alaik Desain Interior Generatif

by Zichun Shao

A' Design Award Basi 2023 in Generatif
CLIENT: Zichun Shao
Estimated Number of Design Views: 43,980
Verification code 3DD17AA8F3 · Verify this award

View at A' Design Award Press Release

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About Only Text Alaik Desain Interior Generatif

Only Text adolah alaik desain generatif nan mambuek gambar desain interior dari deskripsi tulisan. Alaik ko didasari dek model difusi nan dilatiah khusus untuak desain interior profesional. Labiah dari 20.000 rendering interior lah dikumpuaan sarato dilabel dek desainer untuak mambantuak set data latihan. Only Text bisa mahasilkan tampilan interior dalam babarapo detik, jo gaya dekorasi sarato atribuik ruang nan lah dipiliah. Detail bisa diubah jo caro maedit teks sarato mambuek gambar baru pulo. Metode ko manghilangkan karajo modeling sarato rendering manual, sahinggo banyak pilihan bisa dibagikan ka klien jo capek.

About the A' Design Award Basi

Only Text Alaik Desain Interior Generatif adolah pamenang A' Design Award Basi, sabuah pangakuan nan bapresti nan dibarikan ka rancangan nan elok nan mamanuhi kaparluan profesional jo industri nan dipaokan dari ciptaan nan dirancang jo elok. Pamenang Basi mamparlihatkan kamahiran nan gadang, spesialisasi nan tinggi, pamahaman pakar jo kapasitas kreatif panciptanyo. Only Text Alaik Desain Interior Generatif dipaokan manjadi ciptaan nan sangaik dihormati, dikagumi jo disayangi, nan praktis jo inovatif. Rancangan nan manang Basi iko mamasukkan praktik tabaik industri jo punyo ciri teknis nan cakap nan bapautan jo ilimu jo bakaik. Only Text Alaik Desain Interior Generatif dihormati karano katalitiannyo jo dirancang untuak maningkekkan kualitas hiduik jo mambantu manjadikan dunia tampek nan labiah elok.

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.