Only Text 생성형 인테리어 디자인 툴 by Zichun Shao is a highly esteemed winner of the very prestigious 2023 A' Design Award 철상 in 제너레이티브, 알고리즘, 파라메트릭 및 AI 보조 디자인 Competition Category.

철제너레이티브· 2023

Only Text 생성형 인테리어 디자인 툴

by Zichun Shao

Client: Zichun Shao

A' Design Award 철상 Winner in 제너레이티브 Category

43,980
Verified Award Winner
Verify Award Status for #150725

View at A' Design Award Press Release Award Badge

Colors

The Design

About Only Text 생성형 인테리어 디자인 툴

Only Text는 글로 작성된 설명을 바탕으로 인테리어 디자인 이미지를 생성하는 생성형 디자인 툴이다. 이 툴은 전문 인테리어 디자인을 위해 학습된 디퓨전 모델을 기반으로 한다. 20,000점이 넘는 인테리어 렌더링을 수집하고 디자이너들이 직접 라벨링하여 학습 데이터셋을 구축했다. Only Text는 선택한 데코레이션 스타일과 공간 속성을 반영한 인테리어 뷰를 몇 초 만에 생성할 수 있다. 세부 요소는 텍스트를 수정한 뒤 다시 생성하는 방식으로 변경된다. 이 방식은 수작업 모델링과 렌더링 과정을 없애므로, 다양한 대안을 클라이언트와 신속하게 공유할 수 있다.

The Recognition

About the A' Design Award 철상

Only Text 생성형 인테리어 디자인 툴, 이 작품은 A' Design Award 철상 수상작으로, 잘 디자인된 창작물에 기대되는 전문적·산업적 요건을 충족하는 좋은 디자인에 수여되는 권위 있는 인정입니다. 철상 수상작은 창작자의 뛰어난 기술, 높은 전문성, 전문가다운 이해, 창의적 역량을 보여 줍니다. Only Text 생성형 인테리어 디자인 툴, 이 작품은 높이 평가받고 감탄과 사랑을 받는 창작물로서 실용적이고 혁신적일 것으로 기대됩니다. 이 철상 수상 디자인은 업계 모범 사례를 통합하며 노하우와 재능으로 연결된 유능한 기술적 특성을 갖추고 있습니다. Only Text 생성형 인테리어 디자인 툴, 이 작품은 철저함으로 존중받으며 삶의 질을 개선하여 세상을 더 나은 곳으로 만들도록 디자인되었습니다.

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.