Technology Inheritance Uirlis Ghiniúna Dearaidh Ailtireachta le Junming Chen

Is buaiteoir an-mheasúil den ghradam fíor-ardghradamach 2023 Duais Iarainn A' Design Award sa Chatagóir Comórtais Dearadh Giniúnach é an dearadh Technology Inheritance Uirlis Ghiniúna Dearaidh Ailtireachta le Junming Chen.

IarannGiniúnach· 2023

Technology Inheritance Uirlis Ghiniúna Dearaidh Ailtireachta

le Junming Chen

Cliant: Chen junming

Buaiteoir an ghradaim Duais Iarainn A' Design Award sa Chatagóir Giniúnach

45,702

Buaiteoir Gradaim Fíoraithe

Fíoraigh Stádas Gradaim do #150834

Féach ag A' Design Award Preasráiteas Suaitheantas Gradaim

Dathanna

An Dearadh

Maidir le Technology Inheritance Uirlis Ghiniúna Dearaidh Ailtireachta

Is uirlis intleachta saorga é Oidhreacht na Teicneolaíochta a ghineann dearaí seachtracha foirgneamh. Cruthaíonn an uirlis cuma foirgnimh i stíleanna ailtireachta éagsúla ó théacs a chuireann an t-úsáideoir isteach. Táirgtear gach íomhá i gceann cúpla soicind, agus is féidir an dearadh a athrú trí chur síos an téacs a chur in eagar. Tógadh an córas trí na mílte macasamhla ailtireachta a bhailiú agus a lipéadú, agus ansin samhail ghiniúna íomhánna atá ann cheana a mhionchoigeartú leis an tacar sonraí nua. Is é an aidhm cabhrú le tosaitheoirí caighdeán proifisiúnta cáilíochta a bhaint amach.

An Aitheantas

Maidir leis an Duais Iarainn A' Design Award

Bhuaigh an dearadh Technology Inheritance Uirlis Ghiniúna Dearaidh Ailtireachta Duais Iarainn A' Design Award, aitheantas gradamach a bhronntar ar dhea-dhearaí a chomhlíonann na riachtanais ghairmiúla agus thionsclaíocha a bhíonn á n-éileamh ó chruthuithe a ndearnadh go maith iad. Léiríonn buaiteoirí Iarainn scil mhór, speisialtóireacht ard, tuiscint saineolaí agus cumas cruthaitheach a gcruthaitheoirí. Táthar ag súil go mbeidh an dearadh Technology Inheritance Uirlis Ghiniúna Dearaidh Ailtireachta ina chruthú a bhfuil an-mheas air, a n-ardaítear agus a ghráitear atá praiticiúil agus nuálach. Comhtháthaíonn an dearadh seo a bhuaigh Duais Iarainn A' Design Award na cleachtais is fearr sa tionscal agus tá saintréithe teicniúla inniúla aige nasctha le heolas agus le tallann. Tá meas ar an dearadh Technology Inheritance Uirlis Ghiniúna Dearaidh Ailtireachta as a dhúthracht agus dearadh é chun feabhsuithe cáilíochta beatha a sholáthar a chabhraíonn leis an domhan a dhéanamh ina áit níos fearr.

Taobh Thiar den Dearadh

Pacáiste Preasa

Creidiúintí, baill foirne agus sonraí teicniúla curtha ar fáil ag an dearthóir.

Airíonna Uathúla: 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.
Toisí & Pacáistiú: Generating building exteriors using a fine-tuned stable diffusion technique.
Clibeanna: Artificial intelligence, Human-computer cooperation, Architectural appearance generation, Text generation design, Quick modification, Architectural style control
Teicneolaíocht Táirgthe: 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.
Dúshlán Deartha: 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.
Taighde: 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.
Inspioráid: 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.
Fad an Tionscadail: The project has already been completed in 2023.
Sreabhadh Oibríochta: 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.