Technology Inheritance Cuab Yeej Tsim Qauv Tsev Vaj Tse los ntawm Junming Chen

Qhov qauv tsim Technology Inheritance Cuab Yeej Tsim Qauv Tsev Vaj Tse los ntawm Junming Chen yog tus yeej muaj nqis heev ntawm qhov khoom plig 2023 A' Design Award Hlau hauv Pawg Sib Tw Tsim Kev Tsim Tawm, Kev Siv Algorithm, Parametric thiab AI Pab Tsim.

HlauKev Tsim Tawm· 2023

Technology Inheritance Cuab Yeej Tsim Qauv Tsev Vaj Tse

los ntawm Junming Chen

Tus Neeg Siv: Chen junming

Tus Yeej A' Design Award Hlau hauv Pawg Kev Tsim Tawm

45,186

Tus Yeej Khoom Plig Tau Txheeb Xyuas

Txheeb Xyuas Qhov Xwm Txheej Khoom Plig rau #150834

Saib ntawm A' Design Award Tsab Xov Xwm Daim Phiaj Khoom Plig

Xim

Qhov Tsim

Txog Technology Inheritance Cuab Yeej Tsim Qauv Tsev Vaj Tse

Technology Inheritance yog ib qho cuab yeej intelligence tsim los siv rau kev tsim qauv sab nraud ntawm vaj tse. Cov cuab yeej no tsim tau qauv sab nraud ntawm vaj tse raws li ntau hom qauv architecture sib txawv los ntawm cov ntawv uas tus neeg siv sau tuaj. Txhua daim duab yog tsim tawm los tsuas siv ob peb vib nas this xwb, thiab tus qauv tsim tau hloov tau los ntawm kev kho cov ntawv piav qhia. Lub kaw lus no tau tsim los ntawm kev sau thiab teev npe ntau txhiab daim duab architectural renderings, tom qab ntawd coj los fine-tune ib lub qauv tsim duab uas twb muaj lawm nrog cov ntaub ntawv tshiab. Lub hom phiaj yog xav pab cov neeg tshiab kom lawv txawj ua tau qib zoo li cov kws tshaj lij.

Qhov Lees Paub

Txog A' Design Award Hlau

Technology Inheritance Cuab Yeej Tsim Qauv Tsev Vaj Tse yog tus yeej ntawm A' Design Award Hlau, ib qho kev lees paub muaj meej mom uas muab rau cov qauv tsim zoo uas ua tau raws li cov kev xav tau ntawm kev ua haujlwm thiab kev lag luam uas xav tau los ntawm cov khoom tsim zoo. Cov neeg yeej Hlau qhia txog kev txawj loj, kev paub tshwj xeeb siab, kev nkag siab ntawm cov kws tshaj lij thiab lub peev xwm tsim ntawm cov neeg tsim. Technology Inheritance Cuab Yeej Tsim Qauv Tsev Vaj Tse xav tias yuav yog ib qho khoom tsim uas neeg hwm, qhuas thiab hlub uas siv tau thiab tsim tshiab. Cov qauv tsim yeej A' Design Award Hlau no sib xyaw cov kev coj ua zoo tshaj plaws ntawm kev lag luam thiab muaj cov yam ntxwv siv tshuab txawj ntse txuas nrog kev paub thiab txuj ci. Technology Inheritance Cuab Yeej Tsim Qauv Tsev Vaj Tse tau txais kev hwm vim nws tag nrho thiab tsim los muab kev txhim kho rau lub neej uas pab ua rau lub ntiaj teb zoo dua.

Tom Qab Qhov Tsim

Pob Xov Xwm

Cov credit, cov neeg pab thiab cov ntsiab lus kev txawj ntse muab los ntawm tus tsim.

Yam Tshwj Xeeb: 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.
Qhov Loj & Ntim: Generating building exteriors using a fine-tuned stable diffusion technique.
Cov Ntsiab Lus: Artificial intelligence, Human-computer cooperation, Architectural appearance generation, Text generation design, Quick modification, Architectural style control
Thev Naus Laus Zis Tsim Khoom: 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.
Kev Sib Tw Tsim Qauv: 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.
Kev Tshawb Fawb: 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.
Kev Txhawb Siab: 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.
Lub Sij Hawm Ua Hauj Lwm: The project has already been completed in 2023.
Txheej Txheem Ua Hauj Lwm: 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.