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Technology Inheritance Shaqada Koowaad: Qalabka Soo Saarista Naqshadaynta Dhismaha by Junming Chen

Technology Inheritance Shaqada Koowaad: Qalabka Soo Saarista Naqshadaynta Dhismaha by Junming Chen is a highly esteemed winner of the very prestigious 2023 Abaalmarinta Birta ah ee A' Design Award in Naqshadeynta Abuuriska, Algoriidamka, Halbeegga iyo Caawinta AI Competition Category.


BirAbuuris· 2023

Technology Inheritance Shaqada Koowaad: Qalabka Soo Saarista Naqshadaynta Dhismaha

by Junming Chen

Client: Chen junming

Abaalmarinta Birta ah ee A' Design Award Winner in Abuuris Category

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The Design

About Technology Inheritance Shaqada Koowaad: Qalabka Soo Saarista Naqshadaynta Dhismaha

Qoraalka Buugga: Dhaxalka Tignoolajiyadda waa qalab ku dhisan sirdoonka farsamada oo soo saara naqshadaha dibadda dhismayaasha. Qalabkani wuxuu abuuraa muuqaalka dhismayaasha oo ku jira qaabab dhismeed kala duwan, isagoo ku salaysan qoraal uu isticmaaluhu geliyo. Sawir kasta waxaa la soo saaraa ilbiriqsiyo yar gudahood, naqshadana waxaa lagu bedeli karaa iyadoo la tafatiro sharraxaadda qoraalka. Nidaamkan waxaa la dhisay iyadoo la ururiyay oo calaamad la saaray kumanaan sawirro dhismeed oo dhab ah, ka dibna la hagaajiyay qalab horey u jiray oo soo saara sawirro iyadoo la isticmaalayo xogta cusub. Ujeeddadu waa in la caawiyo dadka bilowga ah si ay u gaaraan heer tayo oo xirfad sare leh.

The Recognition

About the Abaalmarinta Birta ah ee A' Design Award

Technology Inheritance Shaqada Koowaad: Qalabka Soo Saarista Naqshadaynta Dhismaha waa guuleystaha Abaalmarinta Birta ah ee A' Design Award, aqoonsi sharaf leh oo la siiyo naqshado wanaagsan oo buuxiya shuruudaha xirfadeed iyo kuwa warshadeed ee laga filayo hal-abuurro si wanaagsan loo naqshadeeyay. Guuleystayaasha Birta waxay muujiyaan xirfad weyn, takhasus sare, fahan khabiir iyo awood hal-abuur oo abuurayaashooda. Technology Inheritance Shaqada Koowaad: Qalabka Soo Saarista Naqshadaynta Dhismaha waa hal-abuur la filayo inuu noqdo mid aad loo tixgeliyo, la ixtiraamo oo la jecel yahay, wax ku ool ah oo cusub. Naqshadahan ku guuleystay Abaalmarinta Birta ah ee A' Design Award wuxuu isku daraa hab-dhaqannada ugu wanaagsan warshadda wuxuuna leeyahay sifooyin farsamo oo karti leh oo ku xiran aqoon iyo hibo. Dhammaystirkeeda awgeed, Technology Inheritance Shaqada Koowaad: Qalabka Soo Saarista Naqshadaynta Dhismaha waa mudan ixtiraam, waxaana loo naqshadeeyay inay keento hagaajin nololeed oo ka caawisa in adduunka laga dhigo meel ka wanaagsan.

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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