Only Text Kayan Aikin Ƙirƙirar Zane na Ciki daga Zichun Shao

Zane Only Text Kayan Aikin Ƙirƙirar Zane na Ciki daga Zichun Shao mai nasara ne mai daraja sosai na 2023 Kyautar A' Design Award ta Baƙin Ƙarfe a Rukunin Gasar Ƙirƙira ta Kwamfuta.

Baƙin ƘarfeƘirƙira ta Kwamfuta· 2023

Only Text Kayan Aikin Ƙirƙirar Zane na Ciki

daga Zichun Shao

Abokin Ciniki: Zichun Shao

Mai Nasarar Kyautar A' Design Award ta Baƙin Ƙarfe a Rukunin Ƙirƙira ta Kwamfuta

44,535

Mai Nasara da Aka Tabbatar

Tabbatar da Matsayin Kyauta na #150725

Duba a A' Design Award Sanarwar Manema Labarai Alamar Kyauta

Launuka

Ƙirar

Game da Only Text Kayan Aikin Ƙirƙirar Zane na Ciki

Only Text kayan aiki ne na ƙirƙira wanda ke samar da hotunan zane na ciki daga bayanan rubutu. Kayan aikin ya dogara ne akan tsarin diffusion da aka horar musamman don ƙwararrun zane-zanen ciki. An tattara sama da hotuna 20,000 na zane-zanen ciki kuma masu zane sun yi musu lakabi domin samar da bayanan horarwa. Only Text na iya samar da hoton ciki cikin ƴan daƙiƙu kaɗan, tare da salon ado da aka zaɓa da halayen sararin samaniya. Ana canza dalla-dalla ta hanyar gyara rubutun sannan a sake ƙirƙira. Wannan hanyar tana kawar da yin ƙira da rendering na hannu, ta yadda ake iya raba zaɓuɓɓuka masu yawa da abokan ciniki cikin sauri.

Amincewa

Game da Kyautar A' Design Award ta Baƙin Ƙarfe

Zanen Only Text Kayan Aikin Ƙirƙirar Zane na Ciki ya lashe Kyautar A' Design Award ta Baƙin Ƙarfe, wata karramawa mai daraja da ake bai wa kyawawan zane-zane waɗanda ke cika buƙatun ƙwararru da masana'antu da ake tsammani daga ƙirƙire-ƙirƙire da aka tsara da kyau. Waɗanda suka lashe kyautar Baƙin Ƙarfe suna nuna babban ƙwarewa, ƙwarewa ta musamman, fahimtar ƙwararru da ikon ƙirƙira na masu ƙirƙirar su. Ana sa ran zanen Only Text Kayan Aikin Ƙirƙirar Zane na Ciki ya zama ƙirƙira da ake girmamawa sosai, ake sha'awa da ƙauna wacce ke da amfani kuma mai sababbin abubuwa. Wannan zane da ya lashe Kyautar A' Design Award ta Baƙin Ƙarfe yana haɗa mafi kyawun ayyukan fannin kuma yana da halayen fasaha masu cancanta da ke da alaƙa da sanin yadda da baiwa. Ana girmama zanen Only Text Kayan Aikin Ƙirƙirar Zane na Ciki saboda cikakkiyar kulawarsa kuma an tsara shi don ba da ingantuwar rayuwa da ke taimakawa wajen mai da duniya wuri mafi kyau.

Bayan Ƙirar

Kayan Manema Labarai

Bayanin ƙungiyar, membobinta da cikakkun bayanai na fasaha da mai ƙirar ya bayar.

Siffofi Na Musamman: 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.
Girma da Fakitin: 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.
Kalmomin Alama: Artificial intelligence, Human-computer collaboration, Interior design, Generative design, Text generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Fasahar Samarwa: 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.
Ƙalubalen Zane: 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.
Bincike: 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.
Wahayi: 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.
Tsawon Lokacin Aikin: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Tsarin Aiki: 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.