Yster Generatief · 2023
Technology Inheritance Argitektoniese Ontwerpgenereringswerktuig
by Junming Chen
- A' Design Award in Yster 2023 in Generatief
- CLIENT: Chen junming
- Estimated Number of Design Views: 45,186
- Verification code A32520631A · Verify this award
Colors
About Technology Inheritance Argitektoniese Ontwerpgenereringswerktuig
Tegnologie-oorerwing is 'n kunsmatige-intelligensie-werktuig wat buitekant-ontwerpe vir geboue genereer. Die werktuig skep gebouvoorkomste in verskillende argitektoniese style vanaf teks wat deur die gebruiker ingevoer word. Elke beeld word binne 'n paar sekondes vervaardig, en die ontwerp kan verander word deur die teksbeskrywing te wysig. Die stelsel is gebou deur duisende argitektoniese visualiserings te versamel en te merk, en daarna 'n bestaande beeldgenereringsmodel met die nuwe datastel te verfyn. Die doel is om beginners te help om 'n professionele gehaltevlak te bereik.
About the A' Design Award in Yster
Technology Inheritance Argitektoniese Ontwerpgenereringswerktuig is 'n wenner van die A' Design Award in Yster, 'n prestigieuse erkenning wat toegeken word aan goeie ontwerpe wat voldoen aan die professionele en industriële vereistes wat van goed ontwerpte skeppings verwag word. Wenners in Yster toon groot vaardigheid, hoë spesialisasie, kundige begrip en die kreatiewe vermoë van hul skeppers. Daar word verwag dat Technology Inheritance Argitektoniese Ontwerpgenereringswerktuig 'n hoog aangeskrewe, bewonderde en gekoesterde skepping is wat prakties en innoverend is. Hierdie ontwerp wat die A' Design Award in Yster gewen het, integreer die beste praktyke in die bedryf en het bekwame tegniese kenmerke gekoppel aan kundigheid en talent. Technology Inheritance Argitektoniese Ontwerpgenereringswerktuig word gerespekteer vir sy deeglikheid en is ontwerp om verbeterings in lewensgehalte te bied wat help om die wêreld 'n beter plek te maak.
Press Kit
- 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.
