Generate Images from Lines Generátor interiérového dizajnu od Junming Chen

Dizajn Generate Images from Lines Generátor interiérového dizajnu od dizajnéra Junming Chen je vysoko uznávaným víťazom veľmi prestížneho ocenenia 2023 Železná cena A' Design Award v súťažnej kategórii Generatívny dizajn.

ŽeleznáGeneratívny dizajn· 2023

Generate Images from Lines Generátor interiérového dizajnu

od Junming Chen

Klient: Junming Chen

Víťaz ocenenia Železná cena A' Design Award v kategórii Generatívny dizajn

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Dizajn

O dizajne Generate Images from Lines Generátor interiérového dizajnu

Book Text: Generate Images from Lines je systém umelej inteligencie, ktorý vytvára vizualizácie interiérového dizajnu z líniových kresieb. Systém je založený na vylepšenom difúznom modeli, natrénovanom na viac ako 20 000 obrázkoch interiérového dizajnu, ktoré zozbierali a anotovali profesionálni dizajnéri. Dizajnéri zadajú ručne kreslený alebo digitálny líniový návrh a vyberú dekoratívny štýl, napríklad moderný, japonský, európsky alebo čínsky. Vizualizácia sa vytvorí v priebehu niekoľkých sekúnd. Zmeny dizajnu sa vykonávajú úpravou líniového návrhu, takže nie je potrebné manuálne modelovanie ani opätovné vykresľovanie.

Ocenenie

O ocenení Železná cena A' Design Award

Generate Images from Lines Generátor interiérového dizajnu je laureát Železnej ceny A' Design Award, prestížneho uznania udeľovaného dobrým dizajnom, ktoré spĺňajú profesionálne a priemyselné požiadavky očakávané od dobre navrhnutých výtvorov. Laureáti Železnej ceny preukazujú veľkú zručnosť, vysokú špecializáciu, odborné porozumenie a tvorivé schopnosti svojich tvorcov. Od Generate Images from Lines Generátor interiérového dizajnu sa očakáva, že bude vysoko cenený, obdivovaný a milovaný výtvor, ktorý je praktický a inovatívny. Tento dizajn ocenený Železnou cenou A' Design Award zahŕňa najlepšie postupy v odvetví a má kompetentné technické vlastnosti spojené s know-how a talentom. Vďaka svojej dôkladnosti si Generate Images from Lines Generátor interiérového dizajnu zaslúži rešpekt a jeho úlohou je prinášať zlepšenia kvality života, ktoré pomáhajú robiť svet lepším miestom.

Za dizajnom

Tlačový kit

Kredity, členovia tímu a technické údaje poskytnuté dizajnérom.

Jedinečné vlastnosti: 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.
Rozmery a balenie: 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.
Štítky: Artificial intelligence, Human-machine collaboration, Interior design, Generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Výrobná technológia: 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.
Dizajnérska výzva: 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.
Výskum: 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.
Inšpirácia: 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.
Trvanie projektu: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Pracovný postup: 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.