Only Text Chishandiso Chinogadzira Zvimiro Zvemukati naZichun Shao

Dhizaini Only Text Chishandiso Chinogadzira Zvimiro Zvemukati naZichun Shao ndiye mukundi anokudzwa zvikuru wemubairo unoremekedza we2023 Mubairo weSimbi we A' Design Award muChikwata cheKukwikwidza cheJeneretivu, Argorizimu, Parametriki neInobatsirwa neAI.

SimbiJeneretivu· 2023

Only Text Chishandiso Chinogadzira Zvimiro Zvemukati

na Zichun Shao

Mutengi: Zichun Shao

Mukundi weMubairo weSimbi we A' Design Award muChikwata cheJeneretivu

44,535

Mukundi weMubairo Akasimbiswa

Simbisa Mamiriro eMubairo we#150725

Ona pa A' Design Award Mashoko Enhau Bheji reMubairo

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Dhizaini

Nezvekwa Only Text Chishandiso Chinogadzira Zvimiro Zvemukati

Only Text ichishandiso chinogadzira zvivakwa zvinobva pazvinyorwa zvinotsanangura zvimiro zvemukati meimba. Chishandiso ichi chinoshanda zvichibva pamhando yekudzidziswa yediffusion model yakadzidziswa nokuda kwevanoita basa rekugadzira zvimiro zvemukati zvinoenderana neruzivo rwehunyanzvi. Anopfuura mazana maviri ezviyero zvemifananidzo yemukati meimba (20,000) akaunganidzwa uye akaiswa mazita nevagadziri kuti vagadzire dhata rekudzidzisa. Only Text inogona kugadzira mufananidzo wemukati meimba mumasekondi mashoma, uine chimiro chekushongedza chakasarudzwa nezvimiro zvenzvimbo. Zvidzidziso zvidiki zvinoshandurwa nekugadzirisa mavara uye kugadzirazve mufananidzo. Nzira iyi inobvisa basa rekugadzira nemaoko uye kugadzira mifananidzo yakananga, saka sarudzo dzakawanda dzinogona kugoverwa nevatengi nekukurumidza.

Kuzivikanwa

Nezve Mubairo weSimbi we A' Design Award

Mubairo weSimbi we A' Design Award wakahwinwa ne Only Text Chishandiso Chinogadzira Zvimiro Zvemukati, rukudzo runokudzwa runopiwa kumadhizaini akanaka anozadzisa zvinodiwa zvehunyanzvi neyeindasitiri zvinotarisirwa kuzvigadzirwa zvakagadzirwa zvakanaka. Vakunda veSimbi vanoratidza unyanzvi hukuru, hunyanzvi hwakakwirira, kunzwisisa kwevakachenjera uye kugona kwekugadzira kwevagadziri vavo. Only Text Chishandiso Chinogadzira Zvimiro Zvemukati inotarisirwa kuva chigadzirwa chinokudzwa zvakanyanya, chinoremekedzwa uye chinodiwa, chinoshanda uye chine zvitsva. Dhizaini iyi yakahwina Mubairo weSimbi we A' Design Award inosanganisa maitiro akanakisa eindasitiri uye ine hunhu hwetekinoroji hwakakwana hwakabatana neruzivo nehunyanzvi. Nekushanda kwayo zvakanaka, Only Text Chishandiso Chinogadzira Zvimiro Zvemukati inoremekedzwa uye yakagadzirirwa kupa kuvandudzwa kwehupenyu kunobatsira kuita kuti nyika ive nzvimbo iri nani.

Shure kweDhizaini

Bepa Renhau

Zvikwereti, nhengo dzetiimu nezvimwe zvakadzama zvakapihwa nemudhizaina.

Hunhu Hwakasiyana: The design was done by artificial intelligence (AI) in collaboration with designers. This project has trained an AI for professional interior design generation, which can generate interior designs with different decoration styles according to the input text. It only takes a few seconds for AI to generate a new interior design, and it can quickly generate a large number of designs for communication with users, thereby improving design efficiency.
Kukura & Kupakiwa: The project uses diffusion model technology, using artificial intelligence to cooperate with designers to generate designs of different decorative styles. We retrained a professional interior design AI to quickly create designs with varying decoration styles.
Matagi: Artificial intelligence, Human-computer collaboration, Interior design, Generative design, Text generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Tekinoroji Yekugadzira: Ordinary AI cannot generate interior design according to specific "decoration style" and "space attributes," which is a fatal flaw for interior design. To this end, this project collected more than 20,000 interior design renderings, labeled them to make a data set and gave the data set to AI for learning, thus creating an AI suitable for interior design. The AI can generate interior renderings specifying "decorative style" and "space attributes" by inputting text.
Changamire yeDhizaini: 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, this project 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.
Tsvakurudzo: Research Background: Interior design communication is complex, and obtaining designs and communicating with customers quickly is necessary.
Methods: This project trained an AI to generate interior designs professionally and used the AI to collaborate with humans to create interior designs in various decorative styles from the text.
Results: Using the AI trained in this project, designers can generate an interior design rendering in just a few seconds.
Insights: This project approach rapidly generates large batches of interior designs for specified decor styles and spatial properties and allows new designs to be generated by modifying text. This method eliminates the need for manual modeling and rendering, which improves design efficiency.
Chikurudziro: It is difficult for users to imagine the scheme described by the designer in words. Designers need to turn thinking into design quickly. With the development of artificial intelligence (AI), designers can generate designs directly from text. Specifically, this project trained an AI to create interior design, which can generate interior design only by inputting text, improving communication efficiency between designers and users.
Nguva yePurojekiti: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Mafambiro eBasa: 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 design text description into the AI to specify the decoration style.
5. AI generates the interior design of the specified decoration style.
6. Modify the unsatisfactory details in the design through text description, and regenerate the design.
7. After adjusting the text description and generating it multiple times, a good design is obtained.