Technology Inheritance Generative Architecture by Junming Chen |
Home > Winners > #150834 |
 |
|
||||
| DESIGN DETAILS | |||||
| DESIGN NAME: Technology Inheritance PRIMARY FUNCTION: Generative Architecture 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. UNIQUE PROPERTIES / PROJECT DESCRIPTION: 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. OPERATION / FLOW / INTERACTION: 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. PROJECT DURATION AND LOCATION: The project has already been completed in 2023. |
PRODUCTION / REALIZATION 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. SPECIFICATIONS / TECHNICAL PROPERTIES: 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 RESEARCH ABSTRACT: 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. 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. ADDED DATE: 2023-03-15 13:25:42 TEAM MEMBERS (1) : IMAGE CREDITS: Junming Chen, 2022. |
||||
| CLIENT/STUDIO/BRAND DETAILS | |
 |
NAME: Chen junming PROFILE: Chen Junming is a designer and programmer with a multidisciplinary background. He has a Bachelor of Architecture, Master of Design, Master of Computing, and Ph.D. in Digital Media. He works in the Digital Construction Laboratory of Macau University of Science and Technology. He is good at using parametric and artificial intelligence technology for design practice. He designed and built several parametric projects. He has also won many design awards and computer awards. |
| AWARD DETAILS | |
 |
Technology Inheritance Generative Architecture by Junming Chen is Winner in Generative, Algorithmic, Parametric and AI-Assisted Design Category, 2022 - 2023.· Press Members: Login or Register to request an exclusive interview with Junming Chen. · Click here to register inorder to view the profile and other works by Junming Chen. |
| SOCIAL |
| + Add to Likes / Favorites | Send to My Email | Comment | Testimonials | View Press-Release | Press Kit |
Did you like Junming Chen's Generative Design?
You will most likely enjoy other award winning generative design as well.
Click here to view more Award Winning Generative Design.
  |
 |
