Technology Inheritance ابزار تولید طراحی معماری by Junming Chen is a highly esteemed winner of the very prestigious 2023 جایزه آهنی A' Design Award in طراحی مولد، الگوریتمی، پارامتریک و مبتنی بر هوش مصنوعی Competition Category.
آهنطراحی مولد· 2023
Technology Inheritance ابزار تولید طراحی معماری
by Junming Chen
Client: Chen junming
جایزه آهنی A' Design Award Winner in طراحی مولد Category
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The Design
About Technology Inheritance ابزار تولید طراحی معماری
میراث فناوری یک ابزار هوش مصنوعی است که طراحی‌های نمای بیرونی ساختمان را تولید می‌کند. این ابزار ظاهر ساختمان را در سبک‌های معماری مختلف بر اساس متنی که کاربر وارد می‌کند، ایجاد می‌کند. هر تصویر در عرض چند ثانیه تولید می‌شود و طراحی را می‌توان با ویرایش توضیحات متنی تغییر داد. این سیستم با جمع‌آوری و برچسب‌گذاری هزاران رندر معماری ساخته شده و سپس با استفاده از این مجموعه داده جدید، یک مدل موجود تولید تصویر را به‌طور دقیق‌تر تنظیم کرده است. هدف این است که به تازه‌کاران کمک شود تا به سطحی از کیفیت حرفه‌ای دست یابند.
The Recognition
About the جایزه آهنی A' Design Award
Technology Inheritance ابزار تولید طراحی معماری برنده جایزه آهنی A' Design Award است، شناختی معتبر که به طراحی‌های خوبی اعطا می‌شود که الزامات حرفه‌ای و صنعتی مورد انتظار از آفرینش‌های خوب طراحی‌شده را برآورده می‌کنند. برندگان آهن مهارت بزرگ، تخصص بالا، درک کارشناسانه و ظرفیت خلاقانه سازندگان خود را نشان می‌دهند. از Technology Inheritance ابزار تولید طراحی معماری انتظار می‌رود آفرینشی بسیار ارجمند، ستوده و دوست‌داشتنی باشد که کاربردی و نوآورانه است. این طراحی برنده جایزه آهنی A' Design Award بهترین رویه‌های صنعت را یکپارچه می‌کند و ویژگی‌های فنی شایسته‌ای دارد که با دانش عملی و استعداد پیوند خورده است. Technology Inheritance ابزار تولید طراحی معماری به سبب دقتش محترم است و برای عرضه بهبودهای کیفیت زندگی که به بهتر شدن جهان کمک می‌کنند طراحی شده است.
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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