Generate Images from Lines Jenerato Desen Enteryè pa Junming Chen

Dizayn Generate Images from Lines Jenerato Desen Enteryè pa Junming Chen se yon gayan ki gen anpil estim nan konpetisyon trè prestijye 2023 A' Design Award Fè nan Kategori Konpetisyon Jeneratif.

FèJeneratif· 2023

Generate Images from Lines Jenerato Desen Enteryè

pa Junming Chen

Kliyan: Junming Chen

Gayan A' Design Award Fè nan Kategori Jeneratif

48,097

Gayan Pri Verifye

Verifye Estati Pri pou #150690

Gade sou A' Design Award Kominike Laprès Badj Prim

Koulè

Konsepsyon an

Konsènan Generate Images from Lines Jenerato Desen Enteryè

Jenere Imaj apati Liy se yon sistèm entèlijans atifisyèl ki kreye randye desen enteryè apati desen liy. Sistèm nan baze sou yon modèl difizyon amelyore, ki antrene sou plis pase 20,000 imaj desen enteryè yo te rasanble ak anote pa desinyatè pwofesyonèl. Desinyatè yo antre yon bwouyon liy fèt alamen oswa dijital epi yo chwazi yon stil dekoratif, tankou modèn, Japonè, Ewopeyen oswa Chinwa. Yo pwodwi yon randye nan kèk segond. Yo chanje desen yo lè yo edite bwouyon liy la, kidonk pa gen bezwen modelaj manyèl ak re-randye.

Rekonesans lan

Konsènan A' Design Award Fè

Generate Images from Lines Jenerato Desen Enteryè se yon ganyan A' Design Award Fè, yon rekonesans ki gen prestij yo bay bon design ki satisfè egzijans pwofesyonèl ak endistriyèl yo atann de kreyasyon ki byen fèt. Ganyan Fè yo montre gwo konpetans, espesyalizasyon wo, konpreyansyon ekspè ak kapasite kreyatif kreyatè yo. Yo atann Generate Images from Lines Jenerato Desen Enteryè pou se yon kreyasyon anpil moun estime, admire e renmen ki pratik e inovatè. Design sa a ki ganyen A' Design Award Fè entegre pi bon pratik sektè a e li gen karakteristik teknik konpetan ki lye ak konnesans pratik ak talan. Yo respekte Generate Images from Lines Jenerato Desen Enteryè pou jèntan li e li fèt pou bay amelyorasyon kalite lavi ki ede fè mond lan vin yon pi bon kote.

Dèyè Konsepsyon an

Dosye Laprès

Kredi, manm ekip ak detay teknik konseptè a bay.

Pwopriyete Inik: 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.
Dimansyon & Anbalaj: 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.
Etikèt: Artificial intelligence, Human-machine collaboration, Interior design, Generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Teknoloji Pwodiksyon: 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.
Defi Dizayn: 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.
Rechèch: 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.
Enspirasyon: 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.
Dire Pwojè: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Fliks Operasyon: 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.