Only Text Cov Cuab Yeej Tsim Qauv Hauv Tsev Los Ntawm Kev Tsim Qauv los ntawm Zichun Shao

Qhov qauv tsim Only Text Cov Cuab Yeej Tsim Qauv Hauv Tsev Los Ntawm Kev Tsim Qauv los ntawm Zichun Shao 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

Only Text Cov Cuab Yeej Tsim Qauv Hauv Tsev Los Ntawm Kev Tsim Qauv

los ntawm Zichun Shao

Tus Neeg Siv: Zichun Shao

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

44,535

Tus Yeej Khoom Plig Tau Txheeb Xyuas

Txheeb Xyuas Qhov Xwm Txheej Khoom Plig rau #150725

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

Xim

Qhov Tsim

Txog Only Text Cov Cuab Yeej Tsim Qauv Hauv Tsev Los Ntawm Kev Tsim Qauv

Only Text yog ib qho cuab yeej tsim qauv (generative design tool) uas tsim cov duab qauv hauv tsev raws li cov lus sau piav qhia. Cov cuab yeej no yog ua raws li ib tug qauv "diffusion model" uas raug cob qhia rau kev tsim qauv hauv tsev tshaj lij. Tau sau sau thiab teem npe ntau tshaj 20,000 daim duab qauv hauv tsev los ntawm cov neeg tsim qauv kom ua tau ib pob ntaub ntawv rau kev cob qhia (training data set). Only Text muaj peev xwm tsim tau ib daim duab hauv tsev tsuas yog ob peb vib nas this xwb, nrog rau tus qauv kho vaj tse thiab qhov chaw raug xaiv. Cov ntsiab lus me me yuav hloov tau los ntawm kev kho cov lus thiab tsim dua ib zaug ntxiv. Txoj kev no tau txo tawm qhov yuav tsum siv tes tsim qauv thiab ua duab qauv (manual modeling and rendering), yog li ntawd ntau qhov kev xaiv thiaj li muab qhia tau rau cov neeg siv khoom nyob rau sij hawm sai sai.

Qhov Lees Paub

Txog A' Design Award Hlau

Only Text Cov Cuab Yeej Tsim Qauv Hauv Tsev Los Ntawm Kev Tsim Qauv 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. Only Text Cov Cuab Yeej Tsim Qauv Hauv Tsev Los Ntawm Kev Tsim Qauv 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. Only Text Cov Cuab Yeej Tsim Qauv Hauv Tsev Los Ntawm Kev Tsim Qauv 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: The design was done by artificial intelligence (AI) in collaboration with designers. This project has trained an AI for professional interior design generation, which can generate interior designs with different decoration styles according to the input text. It only takes a few seconds for AI to generate a new interior design, and it can quickly generate a large number of designs for communication with users, thereby improving design efficiency.
Qhov Loj & Ntim: The project uses diffusion model technology, using artificial intelligence to cooperate with designers to generate designs of different decorative styles. We retrained a professional interior design AI to quickly create designs with varying decoration styles.
Cov Ntsiab Lus: Artificial intelligence, Human-computer collaboration, Interior design, Generative design, Text generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Thev Naus Laus Zis Tsim Khoom: Ordinary AI cannot generate interior design according to specific "decoration style" and "space attributes," which is a fatal flaw for interior design. To this end, this project collected more than 20,000 interior design renderings, labeled them to make a data set and gave the data set to AI for learning, thus creating an AI suitable for interior design. The AI can generate interior renderings specifying "decorative style" and "space attributes" by inputting text.
Kev Sib Tw Tsim Qauv: The challenge of this design is to build a professional interior design AI that generates designs of high quality and correct decor. To this end, this project asked professional designers to collect and label tens of thousands of interior design images and then handed over the filtered data to AI for training. Make AI understand what is "decorative style," "spatial attributes," and "aesthetic attributes" and generate an interior design with a specified decorative style.
Kev Tshawb Fawb: Research Background: Interior design communication is complex, and obtaining designs and communicating with customers quickly is necessary.
Methods: This project trained an AI to generate interior designs professionally and used the AI to collaborate with humans to create interior designs in various decorative styles from the text.
Results: Using the AI trained in this project, designers can generate an interior design rendering in just a few seconds.
Insights: This project approach rapidly generates large batches of interior designs for specified decor styles and spatial properties and allows new designs to be generated by modifying text. This method eliminates the need for manual modeling and rendering, which improves design efficiency.
Kev Txhawb Siab: It is difficult for users to imagine the scheme described by the designer in words. Designers need to turn thinking into design quickly. With the development of artificial intelligence (AI), designers can generate designs directly from text. Specifically, this project trained an AI to create interior design, which can generate interior design only by inputting text, improving communication efficiency between designers and users.
Lub Sij Hawm Ua Hauj Lwm: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Txheej Txheem Ua Hauj Lwm: 1. Professional designers collect interior design images and mark and screen them.
2. Use the filtered data to train a professional interior design AI.
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.