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Technology Inheritance 建築設計生成工具 by Junming Chen

Technology Inheritance 建築設計生成工具 by Junming Chen is a highly esteemed winner of the very prestigious 2023 A' Design Award 鐵獎 in 生成式設計 Competition Category.


鐵生成式· 2023

Technology Inheritance 建築設計生成工具

by Junming Chen

Client: Chen junming

A' Design Award 鐵獎 Winner in 生成式 Category

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Verified Award Winner

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The Design

About Technology Inheritance 建築設計生成工具

《技術傳承》係一款運用人工智能技術嚟生成建築外觀設計嘅工具。呢個工具可以根據用戶輸入嘅文字,創造出唔同建築風格嘅建築外觀。每張圖像只需幾秒鐘就能夠生成,用戶亦都可以透過修改文字描述嚟改變設計效果。呢個系統嘅建立過程,係透過蒐集同標註成千上萬張建築效果圖,然後用呢批新數據對現有嘅圖像生成模型進行微調而完成嘅。呢個工具嘅目標,係幫助初學者都能夠達到專業水準嘅設計質素。

The Recognition

About the A' Design Award 鐵獎

Technology Inheritance 建築設計生成工具是 A' Design Award 鐵獎得主,這是授予滿足人們對設計精良的創作所期待的專業與工業要求的優良設計的聲望認可。鐵獎得主展現出其創作者的高超技藝、高度專業化、專家級的理解力和創造能力。預計Technology Inheritance 建築設計生成工具將成為一件備受推崇、令人欽佩且被珍愛的創作,既實用又創新。這件贏得 A' Design Award 鐵獎的設計整合了行業最佳實踐,並擁有與專業知識和才華相結合的稱職技術特性。Technology Inheritance 建築設計生成工具因其嚴謹而受到尊重,旨在提供有助於讓世界變得更美好的生活品質改善。

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

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.

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