Járn Myndandi · 2023
Technology Inheritance Aðalhlutverk: Verkfæri til að búa til byggingarhönnun
by Junming Chen
- A' Design Award í járni 2023 in Myndandi
- CLIENT: Chen junming
- Estimated Number of Design Views: 45,186
- Verification code A32520631A · Verify this award
Colors
About Technology Inheritance Aðalhlutverk: Verkfæri til að búa til byggingarhönnun
Bókartexti: Tækniarfleifð er gervigreindarverkfæri sem býr til hönnun á útliti bygginga. Verkfærið skapar útlit bygginga í ýmsum byggingarstílum út frá texta sem notandinn slær inn. Hver mynd er framleidd á nokkrum sekúndum og hægt er að breyta hönnuninni með því að breyta textalýsingunni. Kerfið var byggt upp með því að safna og merkja þúsundir arkitektateikninga, og síðan fínstilla fyrirliggjandi myndgreiningarlíkan með þessu nýja gagnasafni. Markmiðið er að hjálpa byrjendum að ná fagmannlegum gæðum.
About the A' Design Award í járni
Technology Inheritance Aðalhlutverk: Verkfæri til að búa til byggingarhönnun vann A' Design Award í járni, virta viðurkenningu sem veitt er góðum hönnunarverkum sem uppfylla þær faglegu og iðnaðarlegu kröfur sem gerðar eru til vel hannaðra sköpunarverka. Sigurvegarar í járni sýna mikla færni, mikla sérhæfingu, sérfræðiskilning og skapandi getu höfunda sinna. Þess er vænst að Technology Inheritance Aðalhlutverk: Verkfæri til að búa til byggingarhönnun sé mjög metið, dáð og elskað sköpunarverk sem er hagnýtt og nýstárlegt. Þetta hönnunarverk sem vann A' Design Award í járni sameinar bestu starfsvenjur greinarinnar og hefur hæfa tæknilega eiginleika tengda þekkingu og hæfileikum. Technology Inheritance Aðalhlutverk: Verkfæri til að búa til byggingarhönnun er virt fyrir nákvæmni sína og er hannað til að veita lífsgæðabætur sem hjálpa til við að gera heiminn að betri stað.
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.
