Dizayini ya Generate Images from Lines Ntchito Yoyambirira: Chosinthira Zolemba Zamkati mwa Nyumba ndi Junming Chen ndi wopambana wotamandika kwambiri pa mphotho yaulemu ya 2023 Mphoto ya Chitsulo ya A' Design Award mu Gawo la Mpikisano la Mapangidwe Opangidwa ndi Makina, Algorithm, Parametric ndi AI.
ChitsuloZopangidwa ndi Makina· 2023
Generate Images from Lines Ntchito Yoyambirira: Chosinthira Zolemba Zamkati mwa Nyumba
ndi Junming Chen
Kasitomala: Junming Chen
Wopambana pa Mphoto ya Chitsulo ya A' Design Award mu Gawo la Zopangidwa ndi Makina
Wopambana Wotsimikizidwa
Tsimikizani Mkhalidwe wa Mphotho ya #150690Kapangidwe
Za Generate Images from Lines Ntchito Yoyambirira: Chosinthira Zolemba Zamkati mwa Nyumba
Mawu a M'buku: Generate Images from Lines ndi njira ya luso lochita kupanga (artificial intelligence) yomwe imapanga zithunzi zazolemba zamkati mwa nyumba kuchokera ku zojambula za mizere. Njirayi imamangidwa pa ndondomeko yosinthidwa ya diffusion model, yophunzitsidwa pogwiritsa ntchito zithunzi zoposa 20,000 za zolemba zamkati mwa nyumba, zomwe zinasonkhanitsidwa ndikulembedwa ndi akatswiri opanga mapangidwe. Opanga mapangidwewo amalowetsa chojambula cha mizere chojambulidwa pamanja kapena cha digito, kenako nkusankha kalembedwe ka chikondwerero, monga chamakono, cha Japan, cha ku Ulaya, kapena cha China. Chithunzi chomaliza chimapangidwa m'masekondi ochepa. Kusintha kwa mapangidwe kumachitika mwa kusintha chojambula cha mizere, choncho sipafunika kupanga mapangidwe atsopano pamanja kapena kubwereza njira ya kupanga zithunzizo.
Chidziwitso
Za Mphoto ya Chitsulo ya A' Design Award
Generate Images from Lines Ntchito Yoyambirira: Chosinthira Zolemba Zamkati mwa Nyumba ndi mmodzi mwa opambana a Mphoto ya Chitsulo ya A' Design Award, kuzindikirika kolemekezeka komwe kumaperekedwa kwa mapangidwe abwino omwe amakwaniritsa zofunika za akatswiri ndi za makampani zomwe zimayembekezeka kuchokera ku zolengedwa zopangidwa bwino. Opambana a Chitsulo amaonetsa luso lalikulu, ukatswiri wapamwamba, kumvetsetsa kwa akatswiri ndi mphamvu yolenga ya opanga awo. Generate Images from Lines Ntchito Yoyambirira: Chosinthira Zolemba Zamkati mwa Nyumba akuyembekezeka kukhala cholengedwa choyamikiridwa kwambiri, chosirira ndi chokondedwa chomwe ndi chothandiza ndi chatsopano. Mapangidwe opambana Mphoto ya Chitsulo ya A' Design Award awa amaphatikiza machitidwe abwino kwambiri a makampani ndipo ali ndi makhalidwe a ukadaulo oyenerera olumikizidwa ndi chidziwitso ndi luso. Generate Images from Lines Ntchito Yoyambirira: Chosinthira Zolemba Zamkati mwa Nyumba amalemekezedwa chifukwa cha kusamala kwake ndipo anapangidwa kuti apereke kukonza kwa moyo kumene kumathandiza kusandutsa dziko kukhala malo abwino.
Kumbuyo kwa Kapangidwe
Katundu wa Atolankhani
Umboni, mamembala a gulu ndi zambiri zapadera zoperekedwa ndi wopanga.
- Makhalidwe Apadera
- 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.
- Miyezo ndi Kuphimba
- 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.
- Zizindikiro
- Artificial intelligence, Human-machine collaboration, Interior design, Generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
- Teknoloji Yopangira
- 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.
- Vuto la Dizayini
- 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.
- Kafukufuku
- 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. - Chilimbikitso
- 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.
- Nthawi ya Polojekiti
- The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
- Mdondomeko ya Ntchito
- 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.
Zolipidwa
Fufuzani Kupitilira Designers.org
Onani zinthu, ntchito ndi mwayi kuchokera kwa ogulitsa athu aulaliki.
Zina Zofufuza
Mapangidwe Ofanana
Fufuzani mapangidwe ena opambana mphotho ochokera mu gulu lomweli, osankhidwa malinga ndi ukadaulo.
