Only Text Teclyn Dylunio Mewnol Cynhyrchiol gan Zichun Shao

Mae Only Text Teclyn Dylunio Mewnol Cynhyrchiol gan Zichun Shao yn enillydd uchel ei barch o'r 2023 Gwobr Haearn A' Design Award mawreddog iawn yng Nghategori Cystadleuaeth Cynhyrchiol.

HaearnCynhyrchiol· 2023

Only Text Teclyn Dylunio Mewnol Cynhyrchiol

gan Zichun Shao

Cleient: Zichun Shao

Enillydd Gwobr Haearn A' Design Award yn y Categori Cynhyrchiol

44,535

Enillydd Gwobr Wedi'i Wirio

Gwirio Statws Gwobr ar gyfer #150725

Gweld yn A' Design Award Datganiad i'r Wasg Bathodyn Gwobr

Lliwiau

Y Dyluniad

Am Only Text Teclyn Dylunio Mewnol Cynhyrchiol

Nid yw Only Text ond yn declyn dylunio cynhyrchiol sy'n creu delweddau dylunio mewnol o ddisgrifiadau ysgrifenedig. Mae'r teclyn yn seiliedig ar fodel tryledu wedi'i hyfforddi ar gyfer dylunio mewnol proffesiynol. Casglwyd a labelwyd dros 20,000 o luniadau mewnol gan ddylunwyr i ffurfio'r set ddata hyfforddi. Gall Only Text gynhyrchu golygfa fewnol mewn ychydig eiliadau, gyda dull addurno a phriodoleddau gofod dewisedig. Newidir manylion drwy olygu'r testun a chynhyrchu eto. Mae'r dull yn dileu modelu a llunio â llaw, felly gellir rhannu llawer o ddewisiadau â chleientiaid yn gyflym.

Y Gydnabyddiaeth

Am y Gwobr Haearn A' Design Award

Mae Only Text Teclyn Dylunio Mewnol Cynhyrchiol yn enillydd Gwobr Haearn A' Design Award, cydnabyddiaeth fawreddog a roddir i ddyluniadau da sydd yn bodloni'r gofynion proffesiynol a diwydiannol a ddisgwylir gan greadigaethau wedi'u dylunio'n dda. Mae enillwyr Haearn yn dangos medrusrwydd mawr, arbenigedd uchel, dealltwriaeth arbenigol a gallu creadigol eu crewyr. Disgwylir i Only Text Teclyn Dylunio Mewnol Cynhyrchiol fod yn greadigaeth uchel ei bri, a edmygir ac a anwylir, sydd yn ymarferol ac yn arloesol. Mae'r dyluniad buddugol hwn o Wobr Haearn A' Design Award yn integreiddio arferion gorau'r diwydiant ac mae ganddo nodweddion technegol cymwys wedi'u cysylltu â gwybodaeth ymarferol a dawn. Parchir Only Text Teclyn Dylunio Mewnol Cynhyrchiol am ei drylwyredd ac fe'i dyluniwyd i ddarparu gwelliannau ansawdd bywyd sydd yn helpu i wneud y byd yn lle gwell.

Y Tu Ôl i'r Dyluniad

Pecyn i'r Wasg

Credydau, aelodau tîm a manylion technegol a ddarparwyd gan y dylunydd.

Priodweddau Unigryw: 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.
Dimensiynau a Phecynnu: 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.
Tagiau: Artificial intelligence, Human-computer collaboration, Interior design, Generative design, Text generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Technoleg Cynhyrchu: 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.
Her Dylunio: 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.
Ymchwil: 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.
Ysbrydoliaeth: 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.
Hyd y Prosiect: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Llif Gweithrediad: 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.