ዲዛይን Generate Images from Lines ናይ ውሽጢ ንድፊ ጀነሬተር ብ Junming Chen ኣብ ናይ ውድድር ምድብ ጀነረቲቭ፣ ኣልጎሪዝማዊ፣ ፓራሜትሪክን ብ AI ዝተሓገዘ ንድፊን ኣዝዩ ዝኸበረ ተሸላማይ ናይ 2023 ናይ ሓጺን ሽልማት A' Design Award እዩ።
ሓጺንጀነረቲቭ· 2023
Generate Images from Lines ናይ ውሽጢ ንድፊ ጀነሬተር
ዓሚል: Junming Chen
ኣብ ምድብ ጀነረቲቭ ተሸላማይ ናይ ሓጺን ሽልማት A' Design Award
ዝተረጋገጸ ተሸላማይ
ንቁጽሪ #150690 ሽልማት ኣረጋግጽእቲ ዲዛይን
ብዛዕባ Generate Images from Lines ናይ ውሽጢ ንድፊ ጀነሬተር
ካብ መስመራት ስእልታት ምፍጣር (Generate Images from Lines) ካብ መስመራዊ ስእልታት ናይ ውሽጢ ንድፊ ረንደሪንግ ዝፈጥር ናይ ሰብ ሰርሖ ብልሓት (artificial intelligence) ስርዓት እዩ። እዚ ስርዓት እዚ ኣብ ዝማሓየሸ ዲፍዩዥን ሞዴል (diffusion model) ተመስሪቱ ዘሎ ኮይኑ፡ ብሞያውያን ዲዛይነራት ካብ ዝተኣከበን ዝተጻሓፈን ልዕሊ 20,000 ናይ ውሽጢ ንድፊ ስእልታት ዝሰልጠነ እዩ። ዲዛይነራት ብኢዶም ዝተሳእለ ወይ ዲጂታላዊ መስመራዊ ንድፊ የእትዉ፡ ከምኡ'ውን ካብ ዘመናዊ፡ ጃፓናዊ፡ ኤውሮጳዊ ወይ ቻይናዊ ዝበሉ ናይ ጌጣጌጥ ቅዲ ይመርጹ። ኣብ ውሽጢ ውሑዳት ካልኢታት ረንደሪንግ ይምንጩ። ንድፍታት ብምምሕያሽ መስመራዊ ንድፊ ጥራይ ይቕየሩ፡ ስለዚ ብኢድ ምስራሕ ሞዴል ወይ ዳግማይ ምድላው ኣየድልን።
እቲ ኣፍልጦ
ብዛዕባ ናይ ሓጺን ሽልማት A' Design Award
Generate Images from Lines ናይ ውሽጢ ንድፊ ጀነሬተር ናይ ሓጺን ሽልማት A' Design Award ዝዓወተ እዩ፣ ካብ ጽቡቕ ዝተዳለዉ ፍጥረታት ዝጽበዩ ሞያውን ኢንዱስትሪኣውን ጠለባት ንዝመላኡ ጽቡቓት ዲዛይናት ዝወሃብ ክቡር ኣፍልጦ። ዘዓወቱ ሓጺን ዓቢ ክእለት፣ ልዑል ፍሉይነት፣ ክኢላዊ ርድኢትን ፈጠራዊ ዓቕምን ፈጣርዮም የርእዩ። Generate Images from Lines ናይ ውሽጢ ንድፊ ጀነሬተር ብብዙሕ ዝተመነየ፣ ዝደነቐን ዝፈተዎን፣ ተግባራውን ሓድሽን ፍጥረት ክኾን ይጽበ። እዚ ዝዓወተ ዲዛይን ናይ ሓጺን ሽልማት A' Design Award ንዝበለጹ ልምድታት ኢንዱስትሪ የጣምር፣ ምስ ፍልጠትን ተውህቦን ዝተኣሳሰሩ ብቑዓት ቴክኒካውያን ባህርያት ድማ ኣለዎ። Generate Images from Lines ናይ ውሽጢ ንድፊ ጀነሬተር ብጥንቃቐኡ ይኽበር፣ ንዓለም ዝሓሸ ቦታ ክትኸውን ዝሕግዙ ምምሕያሻት መዓርግ ህይወት ንምቕራብ ድማ ዝተዳለወ እዩ።
ድሕሪ እቲ ዲዛይን
ናይ ፕረስ ኪት
ክረዲትታት፣ ኣባላት ጋንታን ቴክኒካዊ ዝርዝራትን ብዲዛይነር ዝቐረቡ።
- ፍሉያት ባህርያት
- 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.
- ዓቐንን ማዕሸግን
- 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.
- መለለዪታት
- Artificial intelligence, Human-machine collaboration, Interior design, Generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
- ናይ ምፍራይ 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.
- ናይ ዲዛይን ብድሆ
- 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. - ምንጪ ሓሳብ
- 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.
- ናይ ፕሮጀክት ግዜ
- The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
- ናይ ስርሒት ፍሰት
- 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.
ስፖንሰር ዝተገብረ
ልዕሊ Designers.org ዳህሰስ
ካብ ናይ ማስታወቂያ መሻርኽትና ፍርያት፣ ኣገልግሎታትን ዕድላትን ፍለጥ።
ተወሳኺ ንምርካብ
ተዛመድቲ ዲዛይናት
ካብ ተመሳሳሊ ምድብ ብብቕዓት ዝተመረጹ ተወሳኺ ሽልማት ዝተዓወቱ ዲዛይናት ድለዩ።
