Muundo Only Text Zana ya Ubunifu wa Mambo ya Ndani Inayozalisha na Zichun Shao ni mshindi mashuhuri wa tuzo ya kifahari ya 2023 Tuzo ya Chuma ya A' Design Award katika Kategoria ya Mashindano ya Usanifu wa Uzalishaji, Algorithimu, Parametriki na Msaada wa AI.
ChumaUsanifu wa Uzalishaji· 2023
Only Text Zana ya Ubunifu wa Mambo ya Ndani Inayozalisha
na Zichun Shao
Mteja: Zichun Shao
Mshindi wa Tuzo ya Chuma ya A' Design Award katika Kategoria ya Usanifu wa Uzalishaji
Mshindi wa Tuzo Aliyethibitishwa
Thibitisha Hali ya Tuzo kwa #150725Muundo
Kuhusu Only Text Zana ya Ubunifu wa Mambo ya Ndani Inayozalisha
Only Text ni zana ya ubunifu inayozalisha picha za usanifu wa mambo ya ndani kutokana na maelezo yaliyoandikwa. Zana hii inategemea modeli ya usambaaji (diffusion model) iliyofunzwa kwa ajili ya usanifu wa kitaalamu wa mambo ya ndani. Zaidi ya michoro 20,000 ya mambo ya ndani ilikusanywa na kuwekewa lebo na wabunifu ili kuunda seti ya data ya mafunzo. Only Text inaweza kutengeneza mwonekano wa mambo ya ndani ndani ya sekunde chache, ukiwa na mtindo wa mapambo uliochaguliwa na sifa za nafasi. Maelezo madogo hubadilishwa kwa kuhariri maandishi na kuzalisha upya. Mbinu hii inaondoa uundaji wa mfano na uchoraji picha kwa mikono, hivyo chaguo nyingi zinaweza kushirikiwa na wateja kwa haraka.
Utambuzi
Kuhusu Tuzo ya Chuma ya A' Design Award
Only Text Zana ya Ubunifu wa Mambo ya Ndani Inayozalisha ni mshindi wa Tuzo ya Chuma ya A' Design Award, utambuzi wenye heshima unaotolewa kwa miundo mizuri inayokidhi mahitaji ya kitaalamu na ya kiviwanda yanayotarajiwa kutoka kwa kazi zilizobuniwa vizuri. Washindi wa Chuma huonyesha ustadi mkubwa, utaalamu wa hali ya juu, uelewa wa kitaalamu na uwezo wa kibunifu wa waumbaji wao. Only Text Zana ya Ubunifu wa Mambo ya Ndani Inayozalisha inatarajiwa kuwa kazi inayothaminiwa sana, kupendwa na kuenziwa, ambayo ni ya vitendo na bunifu. Muundo huu ulioshinda Tuzo ya Chuma ya A' Design Award unajumuisha mbinu bora za tasnia na una sifa za kiufundi zenye uwezo zilizounganishwa na ujuzi na kipaji. Only Text Zana ya Ubunifu wa Mambo ya Ndani Inayozalisha inaheshimiwa kwa uangalifu wake na imebuniwa kutoa maboresho ya ubora wa maisha yanayosaidia kuufanya ulimwengu kuwa mahali bora zaidi.
Nyuma ya Muundo
Vifaa vya Habari
Mikopo, wanachama wa timu na maelezo ya kiufundi yaliyotolewa na mbuni.
- Sifa za Kipekee
- 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.
- Vipimo na Ufungashaji
- 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.
- Lebo
- Artificial intelligence, Human-computer collaboration, Interior design, Generative design, Text generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
- Teknolojia ya Uzalishaji
- 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.
- Changamoto ya Ubunifu
- 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.
- Utafiti
- 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. - Msukumo
- 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.
- Muda wa Mradi
- The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
- Mtiririko wa Uendeshaji
- 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.
Imedhaminiwa
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Zaidi ya Kuchunguza
Miundo Inayohusiana
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