Generate Images from Lines Binnenshuise Ontwerpgenerator deur Junming Chen

Die ontwerp Generate Images from Lines Binnenshuise Ontwerpgenerator deur Junming Chen is 'n hoogs gewaardeerde wenner van die baie prestigieuese 2023 A' Design Award in Yster in die Generatiewe, Algoritmiese, Parametriese en KI-Ondersteunde Ontwerp-kompetisiekategorie.

YsterGeneratief· 2023

Generate Images from Lines Binnenshuise Ontwerpgenerator

deur Junming Chen

Kliënt: Junming Chen

Wenner van die A' Design Award in Yster in die Generatief-kategorie

48,097

Geverifieerde Toekenningswenner

Verifieer Toekenningsstatus vir #150690

Bekyk by A' Design Award Persverklaring Toekenningskenteken

Kleure

Die Ontwerp

Oor Generate Images from Lines Binnenshuise Ontwerpgenerator

Genereer Beelde vanaf Lyne is 'n kunsmatige intelligensiestelsel wat binnenshuise ontwerpweergawes uit lyntekeninge skep. Die stelsel is gebaseer op 'n verbeterde diffusiemodel, afgerig op meer as 20,000 binnenshuise ontwerpbeelde wat deur professionele ontwerpers versamel en geannoteer is. Ontwerpers voer 'n handgetekende of digitale lynontwerp in en kies 'n dekoratiewe styl, soos modern, Japannees, Europees of Sjinees. 'n Weergawe word binne 'n paar sekondes geproduseer. Ontwerpe word verander deur die lynontwerp te redigeer, sodat handmatige modellering en herweergawe nie nodig is nie.

Die Erkenning

Oor die A' Design Award in Yster

Generate Images from Lines Binnenshuise Ontwerpgenerator is 'n wenner van die A' Design Award in Yster, 'n prestigieuse erkenning wat toegeken word aan goeie ontwerpe wat voldoen aan die professionele en industriële vereistes wat van goed ontwerpte skeppings verwag word. Wenners in Yster toon groot vaardigheid, hoë spesialisasie, kundige begrip en die kreatiewe vermoë van hul skeppers. Daar word verwag dat Generate Images from Lines Binnenshuise Ontwerpgenerator 'n hoog aangeskrewe, bewonderde en gekoesterde skepping is wat prakties en innoverend is. Hierdie ontwerp wat die A' Design Award in Yster gewen het, integreer die beste praktyke in die bedryf en het bekwame tegniese kenmerke gekoppel aan kundigheid en talent. Generate Images from Lines Binnenshuise Ontwerpgenerator word gerespekteer vir sy deeglikheid en is ontwerp om verbeterings in lewensgehalte te bied wat help om die wêreld 'n beter plek te maak.

Agter die Ontwerp

Persstel

Krediete, spanlede en tegniese besonderhede verskaf deur die ontwerper.

Unieke Eienskappe: The design was done by artificial intelligence (AI) in collaboration with designers. We trained an AI that professionally generates interior designs, which can generate interior designs with different decorative styles based on input line drafts. It solves the problem that the traditional design modification requires remodeling and rendering. It only takes a few seconds to generate a design using this method, and the efficiency of generation and modification is increased by dozens of times.
Afmetings & Verpakking: Use artificial intelligence to cooperate with designers to generate designs with different decorative styles. The design area is 160 square meters, and the decoration styles include modern, Japanese, European, and Chinese styles.
Etikette: Artificial intelligence, Human-machine collaboration, Interior design, Generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Produksietegnologie: The AI technology we use is our improved diffusion model technology. The typical defect of the diffusion model is that it cannot generate design according to specific "decorative style" and "space attribute," which is fatal for interior design. To this end, we re-collected and manufactured a data set containing more than 20,000 interior design renderings and data annotations and handed the data set to AI learning to generate an AI suitable for interior design. The AI can generate interior renderings specifying "decorative style" and "space attributes" by inputting line sketches.
Ontwerpuitdaging: 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, we 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.
Navorsing: Research Background: The interior design process could be more convenient, and the efficiency of design and modification could be higher.
Methods: We trained an AI for professional interior design and used AI to cooperate with people to generate interior designs of various decorative styles from line drawings.
Results: Using our AI, designers can obtain an interior design rendering every few seconds, efficiently generating and modifying designs.
Insights: Our method can quickly generate large batches of interior designs with specified decoration styles and spatial attributes, and the generated results can be changed by modifying the line draft. Design efficiency is improved by eliminating the need for manual modeling and rendering.
Inspirasie: The traditional process of obtaining renderings for interior design is tedious and time-consuming. We use artificial intelligence (AI) to generate interior design, improve design efficiency, and explore new ways of human-computer collaborative design. Specifically, we trained an AI to create interior designs, which can quickly generate and modify designs in cooperation with humans. Changing the design does not require modifying the model and re-rendering, which improves design efficiency.
Projekduur: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Bedryfsvloei: 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 hand-drawn or design line draft into AI to specify the decoration style.
5. AI generates the interior design of the specified decoration style.
6. The designer adjusts the line draft of the unsatisfactory part of the design and then regenerates the design.
7. After adjusting the line draft and generating it multiple times, a good design is obtained.