Only Text Chida Chopanga Kapangidwe ka Mkati by Zichun Shao is a highly esteemed winner of the very prestigious 2023 Mphoto ya Chitsulo ya A' Design Award in Mapangidwe Opangidwa ndi Makina, Algorithm, Parametric ndi AI Competition Category.
ChitsuloZopangidwa ndi Makina· 2023
Only Text Chida Chopanga Kapangidwe ka Mkati
by Zichun Shao
Client: Zichun Shao
Mphoto ya Chitsulo ya A' Design Award Winner in Zopangidwa ndi Makina Category
Verified Award Winner
Verify Award Status for #150725The Design
About Only Text Chida Chopanga Kapangidwe ka Mkati
Only Text ndi chida chopanga zithunzi zomwe chimapanga zithunzi za kapangidwe ka mkati kuchokera ku mawu olembedwa. Chidacho chimagwiritsa ntchito dongosolo la "diffusion model" lomwe linaphunzitsidwa makamaka pa kapangidwe ka mkati kwaukadaulo. Zithunzi zoposa 20,000 za mkati mwa nyumba zidasonkhanitsidwa ndikuikidwa zizindikiro ndi opanga kapangidwe kuti apange gulu la deta lophunzitsira. Only Text imatha kupanga chithunzi cha mkati mwa nyumba m'masekondi ochepa, pogwiritsa ntchito kalembedwe ka zokongoletsera ndi mikhalidwe ya malowo yosankhidwa. Tsatanetsatane amasinthidwa mwa kusintha mawu ndikupanganso. Njirayi imachotsa ntchito yopanga mapangidwe ndi zithunzi pamanja, motero zisankho zambiri zimatha kugawidwa ndi makasitomala mwachangu.
The Recognition
About the Mphoto ya Chitsulo ya A' Design Award
Only Text Chida Chopanga Kapangidwe ka Mkati ndi mmodzi mwa opambana a Mphoto ya Chitsulo ya A' Design Award, kuzindikirika kolemekezeka komwe kumaperekedwa kwa mapangidwe abwino omwe amakwaniritsa zofunika za akatswiri ndi za makampani zomwe zimayembekezeka kuchokera ku zolengedwa zopangidwa bwino. Opambana a Chitsulo amaonetsa luso lalikulu, ukatswiri wapamwamba, kumvetsetsa kwa akatswiri ndi mphamvu yolenga ya opanga awo. Only Text Chida Chopanga Kapangidwe ka Mkati akuyembekezeka kukhala cholengedwa choyamikiridwa kwambiri, chosirira ndi chokondedwa chomwe ndi chothandiza ndi chatsopano. Mapangidwe opambana Mphoto ya Chitsulo ya A' Design Award awa amaphatikiza machitidwe abwino kwambiri a makampani ndipo ali ndi makhalidwe a ukadaulo oyenerera olumikizidwa ndi chidziwitso ndi luso. Only Text Chida Chopanga Kapangidwe ka Mkati amalemekezedwa chifukwa cha kusamala kwake ndipo anapangidwa kuti apereke kukonza kwa moyo kumene kumathandiza kusandutsa dziko kukhala malo abwino.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- 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.
- Dimensions & Packaging
- 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.
- Tags
- Artificial intelligence, Human-computer collaboration, Interior design, Generative design, Text generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
- Production Technology
- 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.
- Design Challenge
- 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.
- Research
- 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. - Inspiration
- 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.
- Project Duration
- The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
- Operation Flow
- 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.
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