Zichun Shao tarapyndan Only Text Generatiw Interýer Dizaýn Guraly

Zichun Shao tarapyndan döredilen Only Text Generatiw Interýer Dizaýn Guraly dizaýny Generatiw, Algoritmik, Parametrik we AI Goldawly Dizaýn Bäsleşik Kategoriýasynda 2023 A' Design Award Demir Baýragy baýragynyň abraýly ýeňijisidir.

DemirGeneratiw· 2023

Only Text Generatiw Interýer Dizaýn Guraly

dizaýner: Zichun Shao

Müşderi: Zichun Shao

Generatiw Kategoriýasynda A' Design Award Demir Baýragy Ýeňijisi

44,535

Tassyklanan Baýrak Ýeňijisi

#150725 üçin Baýrak Ýagdaýyny Barlaň

A' Design Award-da görüň Metbugat beýannamasy Baýrak nyşany

Reňkler

Dizaýn

Only Text Generatiw Interýer Dizaýn Guraly hakynda

Diňe Tekst — ýazuw beýanlaryndan interýer dizaýn şekillerini döredýän generatiw dizaýn guralydyr. Gural hünärmen interýer dizaýny üçin türgenleşdirilen diffuziýa modeline esaslanýar. Türgenleşdiriş maglumat toplumyny emele getirmek üçin 20 000-den gowrak interýer wizuallaşdyrmasy ýygnalyp, dizaýnerler tarapyndan bellenildi. Diňe Tekst, saýlanan bezeg stili we giňişlik häsiýetleri bilen interýer görnüşini birnäçe sekundyň içinde döredip bilýär. Jikme-jiklikler tekstiň üýtgedilmegi we gaýtadan döredilmegi arkaly üýtgedilýär. Bu usul el bilen modelirlemegi we wizuallaşdyrmagy aradan aýyrýar, şonuň üçin müşderiler bilen köp sanly wariantlary çalt paýlaşmak mümkin bolýar.

Ykrar etme

A' Design Award Demir Baýragy hakynda

Only Text Generatiw Interýer Dizaýn Guraly A' Design Award Demir Baýragynyň ýeňijisidir; bu gowy dizaýn edilen eserlerden garaşylýan hünär we senagat talaplaryny kanagatlandyrýan gowy dizaýnlara berilýän abraýly ykrarnamadyr. Demir ýeňijileri döredijileriniň uly başarnygyny, ýokary ugurlaşygyny, hünärmen düşünjesini we döredijilik ukybyny görkezýär. Only Text Generatiw Interýer Dizaýn Guraly uly baha berilýän, haýran galynýan we söýülýän, amaly we täzelikçi eser bolmagy garaşylýar. A' Design Award Demir Baýragyny gazanan bu dizaýn pudagyň iň oňat tejribelerini birleşdirýär we bilim we zehin bilen baglanyşykly ukyply tehniki aýratynlyklara eýedir. Only Text Generatiw Interýer Dizaýn Guraly jikme-jikligi üçin hormatlanylýar we dünýäni has gowy ýere öwürmäge kömek edýän ýaşaýyş hilini gowulandyrýan zatlary hödürlemek üçin dizaýn edilendir.

Dizaýnyň sahna arkasy

Metbugat toplumy

Dizaýner tarapyndan berlen kreditler, topar agzalary we tehniki maglumatlar.

Üýtgeşik Aýratynlyklar: 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.
Ölçegler we Gaplama: 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.
Bellikler: Artificial intelligence, Human-computer collaboration, Interior design, Generative design, Text generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Önümçilik Tehnologiýasy: 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.
Dizaýn Kynçylygy: 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.
Gözleg: 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.
Ylham: 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.
Taslama Dowamlylygy: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Iş Akymy: 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.