Technology Inheritance

Generative Architecture for Chen junming

Outstanding architectural exterior design can bring attention and economic benefits. However, the exterior design of buildings is complex, and the appearance of buildings designed by sound designers is significantly better than that of beginners. This project trains an ai that professionally generates architectural appearance. Ai can create buildings with different architectural styles according to the text input by users. It only takes a few seconds for ai to generate exterior architectural design, and design plans can be obtained in batches, helping design beginners get high-quality designs.

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Technology Inheritance by Junming Chen

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Generative Architecture by Junming Chen

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Junming Chen Technology Inheritance

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Junming Chen Generative Architecture

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Technology Inheritance Generative Architecture Press Releases

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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.

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.

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.

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 Overview

Technology Inheritance Generative Architecture has been a Iron winner in the Generative, Algorithmic, Parametric and AI-Assisted Design award category in the year 2022 organized by the prestigious A' Design Award & Competition. The Iron A' Design Award is awarded to good designs that meet the rigorous professional and industrial standards set by the A' Design Awards. This recognition is reserved for works that demonstrate a solid understanding of design principles and show creativity within their execution. Recipients of the Iron A' Design Award are acknowledged for their practical innovations and contributions to their respective fields, providing solutions that improve quality of life and foster positive change. These designs are a testament to the skill and dedication of their creators, showcasing their ability to address real-world challenges through thoughtful design.

Image Credits

For design images and photos please credit Junming Chen.

Iron Recognition

Junming Chen was recognized with the coveted Iron A' Design Award in 2023, a testament to excellence of their work Technology Inheritance Generative Architecture.

Junming Chen Press Releases

Attention press members and journalists: We offer a collection of press releases on Junming Chen and their notable work, available for your unrestricted use. Instantly access 3 press releases, available exclusively for journalists.

Revolutionizing Architecture with AI: Technology Inheritance by Junming Chen

Junming Chen unveils Technology Inheritance, an AI-powered Generative Architecture project, completed in 2023

Junming Chen Newsroom

Visit Junming Chen Newsroom for an inside look at exceptional design and award-winning projects.