Junming Chen ᱨᱮᱱᱟᱜ Technology Inheritance ᱵᱟᱹᱲᱦᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱛᱮᱭᱟᱨ ᱠᱚ ᱨᱚᱲ

Junming Chen ᱨᱮᱱᱟᱜ Technology Inheritance ᱵᱟᱹᱲᱦᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱛᱮᱭᱟᱨ ᱠᱚ ᱨᱚᱲ ᱫᱚ ᱡᱮᱱᱟᱨᱮᱴᱤᱵ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2023 A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾

ᱞᱚᱦᱟᱡᱮᱱᱟᱨᱮᱴᱤᱵ· 2023

Technology Inheritance ᱵᱟᱹᱲᱦᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱛᱮᱭᱟᱨ ᱠᱚ ᱨᱚᱲ

Junming Chen ᱞᱮᱠᱟᱛᱮ

ᱜᱟᱦᱟᱠ: Chen junming

ᱡᱮᱱᱟᱨᱮᱴᱤᱵ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ

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#150834 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪ

A' Design Award ᱨᱮ ᱧᱮᱞ ᱢᱮ ᱯᱨᱮᱥ ᱨᱤᱞᱤᱡ ᱯᱩᱨᱥᱠᱟᱨ ᱵᱮᱡ

ᱨᱚᱝ

ᱰᱤᱡᱟᱭᱤᱱ

Technology Inheritance ᱵᱟᱹᱲᱦᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱛᱮᱭᱟᱨ ᱠᱚ ᱨᱚᱲ ᱵᱟᱵᱚᱛ ᱛᱮ

ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱤᱱᱦᱮᱨᱤᱴᱮᱱᱥ ᱮᱴᱟᱠ ᱟᱨᱴᱤᱯᱤᱥᱤᱭᱟᱞ ᱤᱱᱴᱮᱞᱤᱡᱮᱱᱥ ᱨᱚᱲ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱵᱟᱹᱲᱦᱟᱭ ᱨᱮᱭᱟᱜ ᱵᱟᱦᱨᱮ ᱟᱠᱟᱨ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱛᱮᱭᱟᱨ ᱠᱚᱨᱮᱭᱟᱭ ᱾ ᱱᱚᱶᱟ ᱨᱚᱲ ᱮ ᱡᱟᱦᱟᱱ ᱚᱛᱟᱭ ᱟᱠᱟᱱ ᱴᱮᱠᱥᱴ ᱠᱷᱚᱱ ᱡᱚᱛᱚ ᱞᱮᱠᱟᱱ ᱟᱨᱴᱤᱯᱤᱥᱤᱭᱟᱞ ᱥᱴᱟᱭᱤᱞ ᱠᱚ ᱨᱮ ᱵᱟᱹᱲᱦᱟᱭ ᱨᱮᱭᱟᱜ ᱵᱟᱦᱨᱮ ᱚᱠᱟᱛᱚ ᱛᱮᱭᱟᱨ ᱠᱚᱨᱚᱜᱼᱟ ᱾ ᱡᱚᱛᱚ ᱪᱤᱛᱟᱹᱨ ᱠᱚ ᱴᱷᱚᱰᱟ ᱥᱮᱠᱮᱱᱰ ᱨᱮ ᱛᱮᱭᱟᱨ ᱦᱩᱭ ᱠᱟᱱᱟ, ᱟᱨ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱚᱛᱟᱱ ᱫᱟᱦᱟᱨ ᱠᱚ ᱮᱰᱤᱴ ᱠᱟᱛᱮ ᱵᱚᱫᱚᱞ ᱦᱩᱭ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ ᱾ ᱱᱚᱶᱟ ᱥᱤᱥᱴᱮᱢ ᱦᱟᱡᱟᱨ ᱦᱟᱡᱟᱨ ᱟᱨᱴᱤᱯᱤᱥᱤᱭᱟᱞ ᱨᱮᱱᱰᱟᱨᱤᱝ ᱠᱚ ᱡᱚᱝ ᱠᱟᱛᱮ ᱟᱨ ᱞᱮᱵᱮᱞ ᱮᱢ ᱠᱟᱛᱮ ᱛᱮᱭᱟᱨ ᱦᱩᱭ ᱠᱟᱱᱟ, ᱟᱨ ᱛᱟᱭᱚᱢ ᱟᱭᱢᱟ ᱴᱷᱮᱱ ᱢᱮᱱᱟᱜ ᱪᱤᱛᱟᱹᱨ ᱛᱮᱭᱟᱨ ᱨᱮᱭᱟᱜ ᱢᱚᱰᱮᱞ ᱨᱮ ᱱᱟᱶᱟ ᱰᱟᱴᱟ ᱥᱮᱴ ᱛᱮ ᱯᱷᱟᱭᱤᱱ-ᱴᱭᱩᱱ ᱠᱚᱨᱟᱠᱟᱱᱟ ᱾ ᱩᱫᱮᱥ ᱛᱮ ᱱᱟᱶᱟ ᱮᱴᱟᱠᱠᱚ ᱠᱚ ᱮᱢ ᱠᱟᱛᱮ ᱪᱮᱛᱟᱱ ᱠᱚ ᱚᱰᱚᱠ ᱞᱮᱠᱟᱱ ᱦᱮᱸᱰᱮ ᱮ ᱡᱟᱦᱟᱱ ᱠᱩᱟᱞᱤᱴᱤ ᱴᱷᱮᱱ ᱥᱮᱴᱮᱨ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ ᱾

ᱢᱟᱱᱟᱱ

A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ

Technology Inheritance ᱵᱟᱹᱲᱦᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱛᱮᱭᱟᱨ ᱠᱚ ᱨᱚᱲ ᱫᱚ A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Technology Inheritance ᱵᱟᱹᱲᱦᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱛᱮᱭᱟᱨ ᱠᱚ ᱨᱚᱲ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾

ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ

ᱯᱨᱮᱥ ᱠᱤᱴ

ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾

ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ: 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.
ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ: Generating building exteriors using a fine-tuned stable diffusion technique.
ᱴᱮᱜ ᱠᱚ: Artificial intelligence, Human-computer cooperation, Architectural appearance generation, Text generation design, Quick modification, Architectural style control
ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ: 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.
ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ: 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.
ᱜᱚᱵᱮᱥᱚᱱᱟ: 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.
ᱯᱨᱮᱨᱚᱱᱟ: 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.
ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ: The project has already been completed in 2023.
ᱠᱟᱹᱢᱤ ᱦᱚᱨ: 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.