鉄 ジェネラティブ · 2023
Technology Inheritance 建築デザイン生成ツール
by Junming Chen
- A' Design Award 鉄賞 2023 in ジェネラティブ
- CLIENT: Chen junming
- Estimated Number of Design Views: 45,186
- Verification code A32520631A · Verify this award
Colors
About Technology Inheritance 建築デザイン生成ツール
「Technology Inheritance」は、建築の外観デザインを生成する人工知能ツールである。ユーザーが入力したテキストから、さまざまな建築様式による建物の外観を作り出す。各画像は数秒で生成され、テキストによる記述を編集することでデザインを変更できる。本システムは、数千点の建築レンダリングを収集してラベル付けを行い、その新たなデータセットを用いて既存の画像生成モデルをファインチューニングすることで構築された。初心者がプロフェッショナルな品質水準に到達できるよう支援することを目的としている。
About the A' Design Award 鉄賞
Technology Inheritance 建築デザイン生成ツールは、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。Technology Inheritance 建築デザイン生成ツールは、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。Technology Inheritance 建築デザイン生成ツールは、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。
Press Kit
- Unique Properties
- This project trains an AI that professionally generates the appearance of buildings. The AI can generate buildings of different architectural styles according to the text entered by the user. The AI only takes a few seconds to generate the building's appearance, and users can recreate the design by changing the text description. That is, designers can obtain design concept proposals through AI cooperation and continuously optimize the design.
- Dimensions & Packaging
- Generating building exteriors using a fine-tuned stable diffusion technique.
- Tags
- Artificial intelligence, Human-computer cooperation, Architectural appearance generation, Text generation design, Quick modification, Architectural style control
- Production Technology
- The effect of using stable diffusion to produce architectural appearance could be better. The reason is that this mode needs to sufficiently understand the design skills of different designers, resulting in a messy appearance design and low quality. For this, fine-tuning the existing AI is essential. So this project reworked the data set, fine-tuned the critical stable diffusion, and made an AI to generate the specified architectural style to assist the junior designer in the design.
- Design Challenge
- The challenge of this design is to build a professional architectural design AI for generating high-quality and stylized designs. This project collected and marked thousands of architectural appearance renderings of dozens of well-known architects, created a data set of architectural appearance, and then handed the data set to AI for fine-tuning learning. This project builds an AI to generate a given building's exterior style.
- Research
- Research Background: It is difficult for beginners to design high-quality architectural appearances.
Methods: This project trained an AI to professionally generate building exteriors, which can contract with designers to complete architectural exterior designs.
Results: Using the AI trained in this project, the designer can generate an architectural appearance rendering in just a few seconds.
Insights: Using this method, the architectural appearance of a specified style can be generated and modified through text description, and the quality of the generated design is close to that of a professional designer. This method does not require manual modeling and rendering, which improves design efficiency and quality. - Inspiration
- Most people measure the quality of a building by evaluating how it looks. Good architectural exterior design can bring attention and economic benefits. However, the exterior architectural design is complex, and the quality of architectural exteriors designed by excellent designers and beginners varies greatly. This design makes an artificial intelligence (AI) that can expertly generate building exteriors to help beginners achieve designs that approach the quality of master builders.
- Project Duration
- The project has already been completed in 2023.
- Operation Flow
- 1. Professional designers collect and mark, and screen images of outstanding designer building exteriors.
2. Use the filtered data to train an AI that specializes in generating the exterior of a given architectural style.
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.