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Technology Inheritance Kasangkapan sa Paglikha ng Disenyong Arkitektural by Junming Chen

Technology Inheritance Kasangkapan sa Paglikha ng Disenyong Arkitektural by Junming Chen is a highly esteemed winner of the very prestigious 2023 A' Design Award na Bakal in Heneratibo, Algoritmiko, Parametriko at Disenyong Tinulungan ng AI Competition Category.


BakalHeneratibo· 2023

Technology Inheritance Kasangkapan sa Paglikha ng Disenyong Arkitektural

by Junming Chen

Client: Chen junming

A' Design Award na Bakal Winner in Heneratibo Category

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Verified Award Winner

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The Design

About Technology Inheritance Kasangkapan sa Paglikha ng Disenyong Arkitektural

Ang Technology Inheritance ay isang kasangkapang gamit ang artificial intelligence na naglilikha ng mga disenyo ng panlabas na anyo ng gusali. Ang kasangkapang ito ay lumilikha ng mga anyo ng gusali sa iba't ibang estilong arkitektural mula sa tekstong inilagay ng gumagamit. Ang bawat larawan ay nabubuo sa ilang segundo lamang, at ang disenyo ay maaaring baguhin sa pamamagitan ng pag-edit sa paglalarawang teksto. Ang sistema ay binuo sa pamamagitan ng pangongolekta at paglagyan ng label sa libo-libong rendering na arkitektural, at pagkatapos ay pinong-inayos ang isang umiiral na modelo ng paglikha ng larawan gamit ang bagong set ng datos. Ang layunin nito ay tulungan ang mga baguhan na makaabot sa antas ng kalidad na propesyonal.

The Recognition

About the A' Design Award na Bakal

Ang Technology Inheritance Kasangkapan sa Paglikha ng Disenyong Arkitektural ay nagwagi ng A' Design Award na Bakal, isang prestihiyosong pagkilalang iginagawad sa mga mahuhusay na disenyong tumutugon sa mga propesyonal at pang-industriyang kinakailangang inaasahan sa mga mahusay na pagkakadisenyong likha. Ang mga nagwagi ng Bakal ay nagpapakita ng dakilang husay, mataas na espesyalisasyon, dalubhasang pag-unawa at kakayahang malikhain ng kanilang mga lumikha. Inaasahang ang Technology Inheritance Kasangkapan sa Paglikha ng Disenyong Arkitektural ay isang lubos na pinahahalagahan, hinahangaan at minamahal na likhang praktikal at makabago. Ang disenyong ito na nagwagi ng A' Design Award na Bakal ay nagsasama ng pinakamahuhusay na kasanayan ng industriya at may mahuhusay na katangiang teknikal na may kasamang kaalaman at talento. Ang Technology Inheritance Kasangkapan sa Paglikha ng Disenyong Arkitektural ay iginagalang dahil sa kaingatan nito at idinisenyo upang maghatid ng mga pagpapabuti sa kalidad ng buhay na tumutulong gawing mas mabuting lugar ang mundo.

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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