Only Text ジェネラティブ・インテリアデザインツール by Zichun Shao

Only Text ジェネラティブ・インテリアデザインツール by Zichun Shao is a highly esteemed winner of the very prestigious 2023 A' Design Award 鉄賞 in ジェネラティブ・アルゴリズミック・パラメトリック・AI支援デザイン Competition Category.

鉄ジェネラティブ· 2023

Only Text ジェネラティブ・インテリアデザインツール

by Zichun Shao

Client: Zichun Shao

A' Design Award 鉄賞 Winner in ジェネラティブ Category

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

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The Design

About Only Text ジェネラティブ・インテリアデザインツール

Only Textは、文章による説明からインテリアデザインの画像を生成するジェネラティブデザインツールです。本ツールは、プロフェッショナルなインテリアデザイン向けに学習させた拡散モデルに基づいています。20,000点を超えるインテリアレンダリングを収集し、デザイナーがラベル付けを行うことで学習データセットを構築しました。Only Textは、選択した装飾スタイルと空間属性に応じて、数秒でインテリアビューを生成できます。ディテールはテキストを編集して再生成することで変更可能です。この手法により手作業によるモデリングとレンダリングが不要となり、多くの選択肢を短時間でクライアントと共有できます。

The Recognition

About the A' Design Award 鉄賞

Only Text ジェネラティブ・インテリアデザインツールは、よく設計された創造物に期待される専門的・産業的要件を満たす優れたデザインに授与される、権威ある評価である A' Design Award 鉄賞の受賞作品です。鉄賞の受賞作品は、制作者の高い技量、高度な専門性、専門家としての理解、創造的な能力を示しています。Only Text ジェネラティブ・インテリアデザインツールは、高く評価され、称賛され、愛される、実用的で革新的な創造物であることが期待されます。この A' Design Award 鉄賞を受賞したデザインは、業界のベストプラクティスを統合し、ノウハウと才能に結びついた有能な技術的特性を備えています。Only Text ジェネラティブ・インテリアデザインツールは、その徹底ぶりで尊敬され、世界をより良い場所にするための生活の質の向上をもたらすよう設計されています。

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.