Generate Images from Lines የውስጥ ንድፍ ማመንጫ በ Junming Chen

Generate Images from Lines የውስጥ ንድፍ ማመንጫ በ Junming Chen የተሠራ ሲሆን በ የጀነሬቲቭ፣ አልጎሪዝም፣ ፓራሜትሪክ እና በኤአይ የታገዘ ዲዛይን የውድድር ምድብ ውስጥ እጅግ ከፍ ያለ ክብር ያለው የ 2023 A' Design Award የብረት ሽልማት አሸናፊ ነው።

ብረትጀነሬቲቭ· 2023

Generate Images from Lines የውስጥ ንድፍ ማመንጫ

በ Junming Chen

ደንበኛ: Junming Chen

በ ጀነሬቲቭ ምድብ ውስጥ የ A' Design Award የብረት ሽልማት አሸናፊ

48,097

የተረጋገጠ የሽልማት አሸናፊ

ለ #150690 የሽልማት ሁኔታ ያረጋግጡ

በ A' Design Award ይመልከቱ ጋዜጣዊ መግለጫ የሽልማት ባጅ

ቀለሞች

ንድፉ

ስለ Generate Images from Lines የውስጥ ንድፍ ማመንጫ

ከመስመሮች ምስሎችን ማመንጨት ከመስመር ስዕሎች የውስጥ ንድፍ ምስሎችን የሚፈጥር አርቲፊሻል ኢንተለጀንስ ሥርዓት ነው። ሥርዓቱ የተመሠረተው በተሻሻለ ዲፍዥን ሞዴል ላይ ሲሆን፣ በሙያተኛ ንድፍ አውጪዎች በተሰበሰቡና በተብራሩ ከ20,000 በላይ የውስጥ ንድፍ ምስሎች ላይ የሠለጠነ ነው። ንድፍ አውጪዎች በእጅ የተሳለ ወይም ዲጂታል የመስመር ንድፍ በማስገባት እንደ ዘመናዊ፣ ጃፓናዊ፣ አውሮፓዊ ወይም ቻይናዊ ያሉ የጌጣጌጥ ስልቶችን ይመርጣሉ። ምስሉ በጥቂት ሰከንዶች ውስጥ ይመረታል። ንድፎች የመስመር ንድፉን በማስተካከል ብቻ ስለሚቀየሩ በእጅ ሞዴል መሥራትና እንደገና ማስመሰል አያስፈልግም።

እውቅናው

ስለ A' Design Award የብረት ሽልማት

Generate Images from Lines የውስጥ ንድፍ ማመንጫ የA' Design Award የብረት ሽልማት አሸናፊ ነው፤ ይህም በጥሩ ሁኔታ ከተነደፉ ፈጠራዎች የሚጠበቁትን ሙያዊና ኢንዱስትሪያዊ መስፈርቶች ለሚያሟሉ ጥሩ ዲዛይኖች የሚሰጥ ከፍተኛ ክብር ያለው እውቅና ነው። የብረት አሸናፊዎች የፈጣሪዎቻቸውን ታላቅ ችሎታ፣ ከፍተኛ ልዩ ሙያ፣ የባለሙያ ግንዛቤ እና የፈጠራ አቅም ያሳያሉ። Generate Images from Lines የውስጥ ንድፍ ማመንጫ ከፍ ያለ ግምት የሚሰጠው፣ የሚደነቅና የሚወደድ፣ ተግባራዊና ፈጠራ የተሞላበት ሥራ እንደሚሆን ይጠበቃል። ይህ የA' Design Award የብረት ሽልማትን ያሸነፈ ዲዛይን የኢንዱስትሪ ምርጥ ልምዶችን ያዋህዳል፤ ከእውቀትና ከተሰጥኦ ጋር የተሳሰሩ ብቁ ቴክኒካዊ ባህሪያትም አሉት። Generate Images from Lines የውስጥ ንድፍ ማመንጫ በጥልቅነቱ የተከበረ ሲሆን ዓለምን የተሻለ ቦታ ለማድረግ የሚረዱ የሕይወት ጥራት ማሻሻያዎችን ለማቅረብ የተነደፈ ነው።

ከንድፉ በስተጀርባ

የፕሬስ ኪት

ክሬዲቶች፣ የቡድን አባላት እና ቴክኒካል ዝርዝሮች በዲዛይነሩ የተሰጡ።

ልዩ ባህሪያት: 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.
ልኬቶች እና ማሸጊያ: 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.
መለያዎች: Artificial intelligence, Human-machine collaboration, Interior design, Generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
የማምረቻ ቴክኖሎጂ: 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.
የዲዛይን ተግዳሮት: 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.
ምርምር: 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.
መነሳሻ: 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.
የፕሮጀክት ጊዜ: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
የሥራ ሂደት: 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.