Ale nan kontni
Only Text Zouti Konsepsyon Enteryè Jeneratif pa Zichun Shao

Dizayn Only Text Zouti Konsepsyon Enteryè Jeneratif pa Zichun Shao se yon gayan ki gen anpil estim nan konpetisyon trè prestijye 2023 A' Design Award Fè nan Kategori Konpetisyon Jeneratif.


FèJeneratif· 2023

Only Text Zouti Konsepsyon Enteryè Jeneratif

pa Zichun Shao

Kliyan: Zichun Shao

Gayan A' Design Award Fè nan Kategori Jeneratif

44,535

Koulè

Konsepsyon an

Konsènan Only Text Zouti Konsepsyon Enteryè Jeneratif

Sèlman Tèks se yon zouti konsepsyon jeneratif ki kreye imaj konsepsyon enteryè apati deskripsyon ekri. Zouti a baze sou yon modèl difizyon ki antrene pou konsepsyon enteryè pwofesyonèl. Plis pase 20,000 randering enteryè te kolekte epi etikèt pa designer yo pou fòme ansanm done antrènman an. Sèlman Tèks ka pwodwi yon vi enteryè nan kèk segond, avèk yon style dekorasyon chwazi ak atribi espas. Detay yo chanje lè w edite tèks la epi jenere ankò. Metòd sa a retire modelaj ak randering manyèl, konsa anpil opsyon ka pataje ak kliyan yo rapidman.

Rekonesans lan

Konsènan A' Design Award Fè

Only Text Zouti Konsepsyon Enteryè Jeneratif se yon ganyan A' Design Award Fè, yon rekonesans ki gen prestij yo bay bon design ki satisfè egzijans pwofesyonèl ak endistriyèl yo atann de kreyasyon ki byen fèt. Ganyan Fè yo montre gwo konpetans, espesyalizasyon wo, konpreyansyon ekspè ak kapasite kreyatif kreyatè yo. Yo atann Only Text Zouti Konsepsyon Enteryè Jeneratif pou se yon kreyasyon anpil moun estime, admire e renmen ki pratik e inovatè. Design sa a ki ganyen A' Design Award Fè entegre pi bon pratik sektè a e li gen karakteristik teknik konpetan ki lye ak konnesans pratik ak talan. Yo respekte Only Text Zouti Konsepsyon Enteryè Jeneratif pou jèntan li e li fèt pou bay amelyorasyon kalite lavi ki ede fè mond lan vin yon pi bon kote.

Dèyè Konsepsyon an

Dosye Laprès

Kredi, manm ekip ak detay teknik konseptè a bay.

Pwopriyete Inik
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.
Dimansyon & Anbalaj
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.
Etikèt
Artificial intelligence, Human-computer collaboration, Interior design, Generative design, Text generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Teknoloji Pwodiksyon
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.
Defi Dizayn
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.
Rechèch
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.
Enspirasyon
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.
Dire Pwojè
The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Fliks Operasyon
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.

Esponsorizasyon

Eksplore Pi Lwen Pase Designers.org

Dekouvri pwodwi, sèvis ak opòtinite nan men patnè piblisite nou yo.

Bon Dizayn Merite Gwo Rekonesans

A' Design Award se yon pri entènasyonal, jire pou bon dizayn. Patisipe nan A' Design Award pou jwenn yon opòtinite pou resevwa rekonesans meritokratik, jwenn renome, prestij ak piblisite pou travay ou. Nomine travay ou pou A' Design Award epi patisipe nan konpetisyon pou pri A' Design Prize ki gen anpil valè.

Nomine