Zichun Shao tomonidan Only Text Generativ Interyer Dizayni Vositasi

Zichun Shao tomonidan yaratilgan Only Text Generativ Interyer Dizayni Vositasi — Generativ, Algoritmik, Parametrik va Sun'iy Intellekt Yordamida Dizayn tanlov toifasida nufuzli 2023 A' Design Award Temir Mukofoti mukofotining yuqori baholangan g'olibidir.

TemirGenerativ· 2023

Only Text Generativ Interyer Dizayni Vositasi

muallif: Zichun Shao

Mijoz: Zichun Shao

Generativ toifasida A' Design Award Temir Mukofoti g'olibi

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Tasdiqlangan mukofot g'olibi

#150725 uchun mukofot holatini tasdiqlash

A' Design Award saytida ko'rish Press-reliz Mukofot nishoni

Ranglar

Dizayn

Only Text Generativ Interyer Dizayni Vositasi haqida

Only Text — yozma tavsiflar asosida interyer dizayni tasvirlarini yaratadigan generativ dizayn vositasidir. Vosita professional interyer dizayni uchun o'qitilgan diffuziya modeliga asoslangan. O'quv ma'lumotlar to'plamini shakllantirish uchun 20,000 dan ortiq interyer renderlari to'plangan va dizaynerlar tomonidan yorliqlangan. Only Text bir necha soniya ichida tanlangan bezak uslubi va bo'shliq xususiyatlariga ega interyer ko'rinishini yaratishi mumkin. Tafsilotlar matnni tahrirlash va qayta generatsiya qilish orqali o'zgartiriladi. Bu usul qo'lda modellashtirish va renderlashni bartaraf etadi, shuning uchun ko'plab variantlarni mijozlar bilan tezda ulashish mumkin.

Tan olinish

A' Design Award Temir Mukofoti haqida

Only Text Generativ Interyer Dizayni Vositasi A' Design Award Temir Mukofotining g‘olibi bo‘lib, bu yaxshi loyihalangan ijodlardan kutiladigan kasbiy va sanoat talablariga javob beradigan yaxshi dizaynlarga beriladigan nufuzli e’tirofdir. Temir g‘oliblari o‘z yaratuvchilarining katta mahorati, yuksak ixtisosligi, mutaxassis tushunchasi va ijodiy salohiyatini namoyon etadi. Only Text Generativ Interyer Dizayni Vositasi yuqori qadrlanadigan, hayrat bilan qaraladigan va suyukli, amaliy hamda innovatsion ijod bo‘lishi kutiladi. A' Design Award Temir Mukofotini qo‘lga kiritgan ushbu dizayn soha eng yaxshi amaliyotlarini uyg‘unlashtiradi va bilim hamda iste’dod bilan bog‘langan layoqatli texnik xususiyatlarga ega. Only Text Generativ Interyer Dizayni Vositasi puxtaligi uchun hurmatga sazovor bo‘lib, dunyoni yaxshiroq joyga aylantirishga yordam beradigan hayot sifatini yaxshilashni taqdim etish uchun loyihalangan.

Dizayn ortida

Press-kit

Dizayner tomonidan taqdim etilgan kreditlar, jamoa a'zolari va texnik tafsilotlar.

Noyob xususiyatlar: 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.
O'lchamlar va qadoqlash: 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.
Teglar: Artificial intelligence, Human-computer collaboration, Interior design, Generative design, Text generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Ishlab chiqarish texnologiyasi: 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.
Dizayn muammosi: 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.
Tadqiqot: 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.
Ilhom: 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.
Loyiha muddati: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Ish jarayoni: 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.