Only Text Alat Desain Interior Generatif dening Zichun Shao

Karya Only Text Alat Desain Interior Generatif dening Zichun Shao minangka pemenang sing diajeni banget saka A' Design Award Wesi 2023 sing bergengsi ing Kategori Kompetisi Desain Generatif, Algoritmik, Parametrik lan Dibantu AI.

WesiGeneratif· 2023

Only Text Alat Desain Interior Generatif

dening Zichun Shao

Klien: Zichun Shao

Pemenang A' Design Award Wesi ing Kategori Generatif

44,535

Pemenang Penghargaan Terverifikasi

Verifikasi Status Penghargaan kanggo #150725

Deleng ing A' Design Award Siaran Pers Lencana Penghargaan

Warna

Desaine

Babagan Only Text Alat Desain Interior Generatif

Only Text minangka alat desain generatif sing nggawe gambar desain interior saka andharan tulisan. Alat iki adhedhasar model diffusion sing dilatih khusus kanggo desain interior profesional. Luwih saka 20.000 gambar render interior wis dikumpulake lan diwenehi label dening para desainer kanggo mbentuk set data latihan. Only Text bisa ngasilake tampilan interior mung sajrone sawetara detik, kanthi gaya dekorasi lan atribut ruang sing dipilih. Detail bisa diowahi kanthi ngedit teks lan nggawe maneh gambar. Metode iki ngilangi proses modeling lan rendering manual, saengga akeh pilihan bisa dibagekake marang klien kanthi cepet.

Pangakuan

Babagan A' Design Award Wesi

Only Text Alat Desain Interior Generatif menang A' Design Award Wesi, pangenalan sing prestisius sing diparingake marang desain sing apik sing nyukupi kabutuhan profesional lan industri sing dikarepake saka ciptaan sing dirancang kanthi apik. Pemenang Wesi nuduhake katrampilan sing gedhe, spesialisasi sing dhuwur, pangerten ahli lan kapasitas kreatif para penciptane. Only Text Alat Desain Interior Generatif dikarepake dadi ciptaan sing dihargai banget, dikagumi lan ditresnani sing praktis lan inovatif. Desain sing menang A' Design Award Wesi iki nggabungake praktik industri sing paling apik lan nduweni ciri teknis sing kompeten sing disambung karo kawruh lan bakat. Only Text Alat Desain Interior Generatif diajeni amarga ketelitiane lan dirancang kanggo nyedhiyakake paningkatan kualitas urip sing mbiyantu ndadekake donya panggonan sing luwih apik.

Ing Mburi Desain

Kit Pers

Kredit, anggota tim lan detail teknis sing diwenehake dening desainer.

Sifat Unik: 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.
Ukuran & Kemasan: 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.
Tag: Artificial intelligence, Human-computer collaboration, Interior design, Generative design, Text generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Teknologi Produksi: 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.
Tantangan Desain: 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.
Riset: 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.
Inspirasi: 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.
Durasi Proyek: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Alur Operasi: 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.