Zichun Shao diseinatzailearen Only Text Barne-diseinu Sortzailerako Tresna

Zichun Shao diseinatzailearen Only Text Barne-diseinu Sortzailerako Tresna lana 2023 Burdinazko Saria A' Design Award sari ospetsuaren irabazle bikaina da Diseinu Sortzaile, Algoritmiko, Parametriko eta AA Lagundua Lehiaketa Kategorian.

BurdinaDiseinu Sortzailea· 2023

Only Text Barne-diseinu Sortzailerako Tresna

diseinatzailea: Zichun Shao

Bezeroa: Zichun Shao

Burdinazko Saria A' Design Award Irabazlea Diseinu Sortzailea Kategorian

44,535

Egiaztatutako Sari Irabazlea

#150725 Sariaren Egoera Egiaztatu

A' Design Award-en Ikusi Prentsa-oharra Sari-bereizgarria

Koloreak

Diseinua

Only Text Barne-diseinu Sortzailerako Tresna Diseinuari Buruz

Only Text idatzitako deskribapenetatik barne-diseinuko irudiak sortzen dituen diseinu-tresna sortzailea da. Tresna barne-diseinu profesionalerako entrenatutako difusio-eredu batean oinarritzen da. 20.000 barne-errendering baino gehiago bildu eta diseinatzaileek etiketatu zituzten entrenamendu-datu multzoa osatzeko. Only Text-ek barne-ikuspegi bat sortu dezake segundo gutxitan, aukeratutako dekorazio-estilo eta espazio-atributuekin. Xehetasunak testua editatuz eta berriro sortuz aldatzen dira. Metodo honek eskuzko modelaketa eta errendering-a ezabatzen ditu, beraz aukera ugari azkar parteka daitezke bezeroekin.

Aintzatespena

Burdinazko Saria A' Design Award Sariari Buruz

Only Text Barne-diseinu Sortzailerako Tresna Burdinazko Saria A' Design Award irabazlea da, ondo diseinatutako sorkuntzetatik espero diren eskakizun profesional eta industrialak betetzen dituzten diseinu onei ematen zaien aitorpen prestijiotsua. Burdin-mailako irabazleek beren sortzaileen trebetasun handia, espezializazio handia, adituen ulermena eta sormen-gaitasuna erakusten dituzte. Only Text Barne-diseinu Sortzailerako Tresna oso estimatua, miretsia eta maitea den sorkuntza izatea espero da, praktikoa eta berritzailea dena. Burdinazko Saria A' Design Award irabazi duen diseinu honek sektoreko praktika onenak integratzen ditu eta know-how-ari eta talentuari lotutako ezaugarri tekniko gaituak ditu. Only Text Barne-diseinu Sortzailerako Tresna zehaztasunagatik errespetatua den lana da, eta mundua leku hobea egiten laguntzen duten bizi-kalitatearen hobekuntzak eskaintzeko diseinatua dagoena.

Diseinuaren Atzean

Prentsa-kita

Diseinatzaileak emandako kredituak, taldekideak eta xehetasun teknikoak.

Propietate Bereziak: 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.
Neurriak eta Ontziratzea: 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.
Etiketak: Artificial intelligence, Human-computer collaboration, Interior design, Generative design, Text generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Produkzio Teknologia: 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.
Diseinu Erronka: 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.
Ikerketa: 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.
Inspirazioa: 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.
Proiektuaren Iraupena: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Eragiketa Fluxua: 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.