Generate Images from Lines Interjero dizaino generatorius – autorius Junming Chen

Darbas Generate Images from Lines Interjero dizaino generatorius, kurio autorius Junming Chen, yra itin vertinamas prestižinio 2023 Geležinis apdovanojimas A' Design Award laimėtojas konkurso kategorijoje Generatyvinis, algoritminis, parametrinis ir DI dizainas.

GeležinisGeneratyvinis· 2023

Generate Images from Lines Interjero dizaino generatorius

Dizaineris: Junming Chen

Klientas: Junming Chen

Kategorijos Generatyvinis laimėtojas – Geležinis apdovanojimas A' Design Award

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Patvirtintas apdovanojimo laimėtojas

Patikrinti apdovanojimo statusą – #150690

Peržiūrėti A' Design Award Pranešimas spaudai Apdovanojimo ženklelis

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Dizainas

Apie Generate Images from Lines Interjero dizaino generatorius

„Generate Images from Lines" yra dirbtinio intelekto sistema, kuri iš linijinių brėžinių sukuria interjero dizaino vizualizacijas. Sistema pagrįsta patobulintu difuzijos modeliu, apmokytu naudojant daugiau nei 20 000 interjero dizaino vaizdų, surinktų ir anotuotų profesionalių dizainerių. Dizaineriai įkelia ranka piešto arba skaitmeninio linijinio eskizo failą ir pasirenka dekoratyvinį stilių, pavyzdžiui, modernų, japonišką, europietišką ar kinišką. Vizualizacija sukuriama per kelias sekundes. Dizainas keičiamas redaguojant linijinį eskizą, todėl rankinio modeliavimo ir pakartotinio vizualizavimo nereikia.

Pripažinimas

Apie Geležinis apdovanojimas A' Design Award

Generate Images from Lines Interjero dizaino generatorius laimėjo Geležinį apdovanojimą A' Design Award, prestižinį pripažinimą, skiriamą geriems dizainams, atitinkantiems profesinius ir pramoninius reikalavimus, kurių tikimasi iš gerai suprojektuotų kūrinių. Geležies laureatai rodo didelius kūrėjų įgūdžius, aukštą specializaciją, ekspertinį supratimą ir kūrybinį gebėjimą. Tikimasi, kad Generate Images from Lines Interjero dizaino generatorius bus aukštai vertinamas, žavimas ir brangus kūrinys, praktiškas ir novatoriškas. Šis Geležiniu apdovanojimu įvertintas dizainas integruoja geriausias pramonės praktikas ir turi kompetentingas technines savybes, susietas su patirtimi ir talentu. Generate Images from Lines Interjero dizaino generatorius gerbiamas už kruopštumą ir sukurtas taip, kad gerintų gyvenimo kokybę ir padėtų padaryti pasaulį geresne vieta.

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Dizainerio pateikti kreditai, komandos nariai ir techninė informacija.

Unikalios savybės: 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.
Matmenys ir pakuotė: 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.
Žymos: Artificial intelligence, Human-machine collaboration, Interior design, Generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Gamybos technologija: 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.
Dizaino iššūkis: 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.
Tyrimas: 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.
Įkvėpimas: 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.
Projekto trukmė: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Veikimo eiga: 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.