Only Text Fitaovana Famolavolana Atrano Miforona nataon'i Zichun Shao

Ny endrika Only Text Fitaovana Famolavolana Atrano Miforona nataon'i Zichun Shao dia mpandresy sarobidy amin'ny 2023 A' Design Award Vy amin'ny Sokajin'ny Fifanintsanana Famolavolana Generativa, Algoritmika, Parametrika ary Ampian'ny AI.

VyGenerativa· 2023

Only Text Fitaovana Famolavolana Atrano Miforona

nataon'i Zichun Shao

Mpanjifa: Zichun Shao

Mpandresy A' Design Award Vy amin'ny Sokajy Generativa

44,535

Mpandresy Loka Voamarina

Hanamarina ny Sata Loka ho an'ny #150725

Jereo ao amin'ny A' Design Award Fanambarana ho an'ny Mpanao Gazety Marika Loka

Loko

Ny Endrika

Momba ny Only Text Fitaovana Famolavolana Atrano Miforona

Only Text dia fitaovana famolavolana miforona izay mamorona sary famolavolana atrano avy amin'ny famaritana an-tsoratra. Mifototra amin'ny modely diffusion nampiofanina ho an'ny famolavolana atrano matihanina io fitaovana io. Mihoatra ny 20.000 ny sary famolavolana atrano naangona sy nasiana marika nataon'ireo mpamolavola mba hamoronana ny angon-drakitra fampiofanana. Afaka mamokatra fahitana anaty trano ao anatin'ny segondra vitsivitsy i Only Text, miaraka amin'ny fomba fanaovana haingo voafantina sy ny toetran'ny habaka. Ovana ireo antsipirihany amin'ny fanovana ny soratra sy famoronana indray. Ity fomba ity dia manafoana ny fanaovana maodely sy rendering manoloana, ka betsaka ny safidy azo zaraina haingana amin'ny mpanjifa.

Ny Fankasitrahana

Momba ny A' Design Award Vy

Nandresy ny A' Design Award Vy ny famolavolana Only Text Fitaovana Famolavolana Atrano Miforona, fankasitrahana malaza omena ny famolavolana tsara izay mahafeno ny fepetra ara-barotra sy ara-indostria andrasana amin'ny famoronana natao tsara. Ny mpandresy Vy dia mampiseho fahaiza-manao lehibe, fahaizana manokana ambony, fahatakarana manam-pahaizana ary fahaizana mamorona an'ireo mpamorona azy. Andrasana ho famoronana ankasitrahana be, ankafizina ary tiana izay azo ampiharina sady vaovao ny famolavolana Only Text Fitaovana Famolavolana Atrano Miforona. Ity famolavolana nandresy ny A' Design Award Vy ity dia mampiray ny fomba fanao tsara indrindra amin'ny indostria ary manana toetra ara-teknika mahomby mifandray amin'ny fahalalana sy ny talenta. Ny famolavolana Only Text Fitaovana Famolavolana Atrano Miforona dia hajaina noho ny fitandremany ary natao hanome fanatsarana ny kalitaon'ny fiainana izay manampy hahatonga ny tontolo ho toerana tsara kokoa.

Ao Ambadiky ny Endrika

Fitaovana ho an'ny Mpanao Gazety

Fankasitrahana, mpikambana ao amin'ny ekipa ary antsipiriany teknika nomen'ny mpanao endrika.

Toetra Manokana: 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.
Refy & Fonosana: 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.
Marika: Artificial intelligence, Human-computer collaboration, Interior design, Generative design, Text generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Teknolojia Famokarana: 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.
Fanamby Endrika: 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.
Fikarohana: 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.
Aingam-panahy: 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.
Faharetan'ny Tetikasa: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Fizotr'asa: 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.