Technology Inheritance Aẓamul Amaynut n Usiweḍ n Uslugen Aẓragan sɣur Junming Chen d anerbaz yettwaqadren meqqren n 2023 Tarbaḥt A' Design Award n Uzzal deg Taggayt n Tnaflit n Afeṣṣel Asniɣes, Alguritman, Aparametran d Win Yettwallalen s AI.
UzzalAfeṣṣel Asniɣes· 2023
Technology Inheritance Aẓamul Amaynut n Usiweḍ n Uslugen Aẓragan
sɣur Junming Chen
Amsaɣ: Chen junming
Anerbaz n Tarbaḥt A' Design Award n Uzzal deg Taggayt n Afeṣṣel Asniɣes
Anerbaz n Urraz Yettwasenqden
Senqed Addad n Urraz i #150834Afeṣṣel
Ɣef Technology Inheritance Aẓamul Amaynut n Usiweḍ n Uslugen Aẓragan
Aḥric n Tira: Technology Inheritance d aslugen n tmusni tarmitant i d-yesnulfu iɣawasen n beṛṛa n lebni. Aslugen-agi yeskan-d udmawen n lebni s tuɣac tiẓrigagin yemgaraden, seg uḍris i wesyerz useqdac. Yal tugna tettwaseknu deg kra n tesdatin, akken ismenyifen zemren ad ttwabeddlen s usnifel n uɣmis n uḍris. Anagraw-agi yettwabna s usemras d usemnid n waṭas n tugniwin tiẓrigagin, sakin tettusnifel tesnulfa n tugna yellan yakan s uɣbalu-agi amaynut n isefka. Awennaḍ n usnulfu-agi d asnermed n imezwura akken ad awḍen s tissas ɣer twenza n uswir asnas.
Asmekti
Ɣef Tarbaḥt A' Design Award n Uzzal
Technology Inheritance Aẓamul Amaynut n Usiweḍ n Uslugen Aẓragan d amerbaḥ n Tarbaḥt A' Design Award n Uzzal, tagmat i yisnulfa yelhan i yemmalen ayen i d-ttrajun yimdanen seg yisnulfa yelhan. Imerbaḥen n Uzzal ttbanen d tmusni, tmahilt d tazmert n yimahilen-nsen. Technology Inheritance Aẓamul Amaynut n Usiweḍ n Uslugen Aẓragan ad yili d asnulfu yettwaɛezzen, yelhan, amaynut. Isnulfa-a ttwaɛezzen imi ɛawnen deg tudert, rran ddunit ugar n lxir.
Deffir n ufeṣṣel
Tagrurt n tɣamsa
Ismawen n terbaɛt, iferdisen itiknikanen akked telɣut i d-yefka umeṣṣufeɣ.
- Taɣara Tasuft
- 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.
- Tigejdiwin & Akemmus
- Generating building exteriors using a fine-tuned stable diffusion technique.
- Tibzimin
- Artificial intelligence, Human-computer cooperation, Architectural appearance generation, Text generation design, Quick modification, Architectural style control
- Tasnakta n Ufares
- 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.
- Asewḥel n Usnulfu
- 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.
- Anadi
- 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. - Aseḥbiber
- 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.
- Tanzagt n Usenfar
- The project has already been completed in 2023.
- Tanila n Umahil
- 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.
Yettwaxellṣen
Snirem Seld Designers.org
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