Technology Inheritance Kagamitan sa Paghimo og Arkitekturang Disenyo by Junming Chen

Technology Inheritance Kagamitan sa Paghimo og Arkitekturang Disenyo by Junming Chen is a highly esteemed winner of the very prestigious 2023 A' Design Award nga Puthaw in Heneratibo, Algoritmiko, Parametriko ug Disenyo nga Tinabangan sa AI Competition Category.

PuthawHeneratibo· 2023

Technology Inheritance Kagamitan sa Paghimo og Arkitekturang Disenyo

by Junming Chen

Client: Chen junming

A' Design Award nga Puthaw Winner in Heneratibo Category

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Verified Award Winner

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View at A' Design Award Press Release Award Badge

Colors

The Design

About Technology Inheritance Kagamitan sa Paghimo og Arkitekturang Disenyo

Ang Technology Inheritance usa ka artificial intelligence tool nga naghimo og mga disenyo sa panggawas nga bahin sa mga building. Ang kagamitan naghimo og mga hulagway sa mga building sa lain-laing estilo sa arkitektura pinasukad sa teksto nga isulod sa user. Ang matag hulagway mahimo sulod sa pila ka segundo, ug ang disenyo mahimong usbon pinaagi sa pag-edit sa deskripsyon nga teksto. Ang sistema gitukod pinaagi sa paghipos ug pag-label sa liboan ka arkitekturang rendering, unya gi-fine-tune ang naa nang modelo sa paghimo og hulagway pinaagi sa bag-ong dataset. Ang tumong niini mao ang pagtabang sa mga bag-ohan aron makaabot sa lebel sa kalidad nga propesyonal.

The Recognition

About the A' Design Award nga Puthaw

Technology Inheritance Kagamitan sa Paghimo og Arkitekturang Disenyo usa ka mananaog sa A' Design Award nga Puthaw, usa ka dungganon nga pag-ila nga gihatag sa maayong mga disenyo nga nakatagbo sa propesyonal ug industriyal nga mga gikinahanglan nga gipaabot gikan sa maayo ang pagkadisenyo nga mga paglalang. Ang mga mananaog sa Puthaw nagpakita og dakong kahanas, taas nga espesyalisasyon, eksperto nga pagsabot, ug mamugnaon nga abilidad sa ilang mga tiglalang. Gilauman nga ang Technology Inheritance Kagamitan sa Paghimo og Arkitekturang Disenyo mahimong gipabilhan, gihangaan, ug gihigugma nga paglalang nga praktikal ug bag-o. Kini nga disenyo nga nakadaog og A' Design Award nga Puthaw naghiusa sa labing maayong mga praktis sa industriya ug adunay hanas nga teknikal nga mga kinaiya nga nalambigit sa kahibalo ug talento. Technology Inheritance Kagamitan sa Paghimo og Arkitekturang Disenyo gitahod tungod sa pagkamaabtik niini ug gidisenyo aron maghatag og mga pagpaayo sa kalidad sa kinabuhi nga makatabang sa paghimo sa kalibutan nga mas maayong dapit.

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.