Only Text Ohun Elo Onise Ile ti Iṣẹ-abẹnu láti ọwọ́ Zichun Shao

Only Text Ohun Elo Onise Ile ti Iṣẹ-abẹnu láti ọwọ́ Zichun Shao jẹ́ aṣẹ́gun olókìkí púpọ̀ ti 2023 Àmì-ẹ̀yẹ Irin A' Design Award nínú Ẹ̀ka Ìdíje Àpẹẹrẹ Ìpilẹ̀ṣẹ̀, Àlgọ́rídímù, Párámétrìkì àti Àtìlẹ́yìn-AI.

IrinÌpilẹ̀ṣẹ̀· 2023

Only Text Ohun Elo Onise Ile ti Iṣẹ-abẹnu

látọ̀wọ́ Zichun Shao

Oníbàárà: Zichun Shao

Aṣẹ́gun Àmì-ẹ̀yẹ Irin A' Design Award nínú Ẹ̀ka Ìpilẹ̀ṣẹ̀

43,980

Aṣẹ́gun Àmì Ẹ̀yẹ Tí a Jẹ́rìísí

Jẹ́rìísí Ipò Àmì Ẹ̀yẹ fún #150725

Wo ní A' Design Award Ìwé Ìròyìn Àmì Ẹ̀yẹ

Àwọ̀

Àpẹrẹ Náà

Nípa Only Text Ohun Elo Onise Ile ti Iṣẹ-abẹnu

Only Text jẹ́ ohun èlò ìṣẹ̀dá tí ń ṣẹ̀dá àwòrán ìṣètò abẹ́nu ilé láti inú àpèjúwe tí a kọ sílẹ̀. Ohun èlò náà dá lórí àwòṣe diffusion tí a kọ́ ní pàtàkì fún iṣẹ́ ọnà ṣíṣe abẹ́nu ilé lóde òní. Ó ju àwòrán 20,000 àwọn abẹ́nu ilé tí a kójọ tí àwọn onímọ̀-ọnà sì ti kọ àmì sí wọn láti fi dá ìdìpọ̀ dátà ìkọ́nilẹ́kọ̀ọ́ sílẹ̀. Only Text lè ṣẹ̀dá ìwòye abẹ́nu ilé ní ìṣẹ́jú àáyá díẹ̀, pẹ̀lú ọ̀nà ọ̀ṣọ́ àti àwọn ànímọ́ àyè tí a yàn. A lè yí àwọn kúlẹ̀kúlẹ̀ padà nípa ṣíṣàtúnṣe ọ̀rọ̀ náà àti dídá a padà lẹ́ẹ̀kan sí i. Ọ̀nà yìí yọ àìní láti fọwọ́ ṣe àwòṣe àti ìdásílẹ̀ àwòrán kúrò, nítorí náà ọ̀pọ̀lọpọ̀ àṣàyàn ni a lè fi fún àwọn oníbàárà kíákíá.

Ìdánimọ̀ Náà

Nípa Àmì-ẹ̀yẹ Irin A' Design Award

Only Text Ohun Elo Onise Ile ti Iṣẹ-abẹnu jẹ́ olùborí Àmì-ẹ̀yẹ Irin A' Design Award, ìdánimọ̀ olókìkí tí a fún àwọn àwòṣe tó dára tí wọ́n pàdé àwọn ohun tí iṣẹ́ àti ilé-iṣẹ́ nílò tí a retí láti ọ̀dọ̀ àwọn ẹ̀dá tí a ṣàwòṣe dáradára. Àwọn olùborí Irin ń fi ìjáfáfá ńlá, ìmọ̀ pàtó gíga, òye ògbóǹtarìgì àti agbára ìṣẹ̀dá àwọn olùṣẹ̀dá wọn hàn. A retí pé Only Text Ohun Elo Onise Ile ti Iṣẹ-abẹnu yóò jẹ́ ẹ̀dá tí a kà sí gidigidi, tí a gbóríyìn fún tí a sì nífẹ̀ẹ́, tó wúlò tó sì ní ìmúṣẹ̀dá tuntun. Àwòṣe tó borí Àmì-ẹ̀yẹ Irin A' Design Award yìí ń kó àwọn ọ̀nà tó dára jùlọ ilé-iṣẹ́ jọ, ó sì ní àwọn ànímọ́ ìmọ̀-ẹ̀rọ tó péye tí a so mọ́ ìmọ̀ ṣíṣe àti ẹ̀bùn. A bọ̀wọ̀ fún Only Text Ohun Elo Onise Ile ti Iṣẹ-abẹnu nítorí ìfọ̀kànbalẹ̀ rẹ̀, a sì ṣàwòṣe rẹ̀ láti pèsè ìmúdára ìgbésí ayé tó ń ran ayé lọ́wọ́ láti di ibi tó dára jù.

Lẹ́yìn Àpẹrẹ Náà

Àkójọ Ìròyìn

Àwọn ẹ̀tọ́, àwọn ọmọ ẹgbẹ́ àti àlàyé ìmọ̀ ẹ̀rọ tí olùṣàpẹrẹ pèsè.

Àwọn Ohun Àkànṣe: 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.
Ìwọ̀n àti Àpò: 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.
Àwọn Àkọlé: Artificial intelligence, Human-computer collaboration, Interior design, Generative design, Text generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Ìmọ̀-ẹ̀rọ Ìṣelọ́pọ̀: 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.
Ìpèníjà Àpèsè: 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.
Ìwádìí: 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.
Ìmísí: 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.
Àkókò Iṣẹ́ Àkànṣe: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Ìlànà Ìṣiṣẹ́: 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.