Technology Inheritance Uirlis Ghiniúna Dearadh Ailtireachta le Junming Chen

Tha Technology Inheritance Uirlis Ghiniúna Dearadh Ailtireachta le Junming Chen na bhuannaiche air leth urramach anns an fharpais chliùitich 2023 Duais Iarainn A' Design Award ann an Roinn Farpais Dealbhadh Gineadach, Algairimach, Parameatrach agus le Taic AI.

IarannGineadach· 2023

Technology Inheritance Uirlis Ghiniúna Dearadh Ailtireachta

le Junming Chen

Neach-ceannach: Chen junming

Buannaiche Duais Iarainn A' Design Award ann an Roinn Gineadach

45,702

Buannaiche Duais Dearbhaichte

Dearbhaich Inbhe na Duaise airson #150834

Seall aig A' Design Award Brath Naidheachd Suaicheantas Duaise

Dathan

An Dealbhadh

Mu dheidhinn Technology Inheritance Uirlis Ghiniúna Dearadh Ailtireachta

Is uirlis intleachd shaorga í Oidhreacht na Teicneolaíochta a ghineann dearaí do thaobh amuigh foirgnimh. Cruthaíonn an uirlis cuma foirgnimh i stíleanna ailtireachtúla éagsúla ó théacs a chuireann an úsáideoir isteach. Táirgtear gach íomhá i gceann cúpla soicind, agus is féidir an dearadh a athrú trí an cur síos téacsúil a chur in eagar. Tógadh an córas trí mhíltí léiriúchán ailtireachtúla a bhailiú agus a lipéadú, agus ansin múnla giniúna íomhánna atá ann cheana a mhionchoigeartú leis an tacar sonraí nua. Is é an aidhm cabhrú le tosaitheoirí caighdeán gairmiúil cáilíochta a bhaint amach.

An Aithneachadh

Mu dheidhinn Duais Iarainn A' Design Award

Tha Technology Inheritance Uirlis Ghiniúna Dearadh Ailtireachta air Duais Iarainn A' Design Award a bhuannachadh, aithneachadh urramach a bheirear do dhealbhaidhean math a choinnicheas ris na riatanasan proifeiseanta is gnìomhachais a thathar a' sùileachadh bho chruthachaidhean a chaidh an dealbhadh gu math. Tha buannaichean Iarainn a' nochdadh sgil mhòr, speisealachadh àrd, tuigse eòlaiche agus comas cruthachail an luchd-cruthachaidh. Thathar an dùil gum bi Technology Inheritance Uirlis Ghiniúna Dearadh Ailtireachta na chruthachadh air a bheil mòran meas, ion-mholta agus gràdhach a tha practaigeach agus ùr-ghnàthach. Tha an dealbhadh seo a bhuannaich Duais Iarainn A' Design Award a' cur nan cleachdaidhean as fheàrr sa ghnìomhachas còmhla agus tha feartan teignigeach comasach aige ceangailte ri eòlas-dèanamh agus tàlant. Tha meas air Technology Inheritance Uirlis Ghiniúna Dearadh Ailtireachta airson a dhùrachd agus chaidh a dhealbhadh gus leasachaidhean càileachd beatha a thoirt seachad a chuidicheas le bhith a' dèanamh an t-saoghail na àite nas fheàrr.

Air Cùl an Dealbhaidh

Pasgan Naidheachd

Creideasan, buill sgioba agus fiosrachadh teicnigeach a chuir an dealbhaiche ri chèile.

Feartan Sònraichte: 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.
Tomhasan & Pacadh: Generating building exteriors using a fine-tuned stable diffusion technique.
Tagaichean: Artificial intelligence, Human-computer cooperation, Architectural appearance generation, Text generation design, Quick modification, Architectural style control
Teicneòlas Cinneasachaidh: 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.
Dùbhlan Dealbhaidh: 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.
Rannsachadh: 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.
Brosnachadh: 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.
Faid a' Phròiseict: The project has already been completed in 2023.
Sruth Obrachaidh: 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.