Generate Images from Lines Gineadóir Dearaidh Inmheánaigh le Junming Chen

Is buaiteoir an-mheasúil den ghradam fíor-ardghradamach 2023 Duais Iarainn A' Design Award sa Chatagóir Comórtais Dearadh Giniúnach é an dearadh Generate Images from Lines Gineadóir Dearaidh Inmheánaigh le Junming Chen.

IarannGiniúnach· 2023

Generate Images from Lines Gineadóir Dearaidh Inmheánaigh

le Junming Chen

Cliant: Junming Chen

Buaiteoir an ghradaim Duais Iarainn A' Design Award sa Chatagóir Giniúnach

48,097

Buaiteoir Gradaim Fíoraithe

Fíoraigh Stádas Gradaim do #150690

Féach ag A' Design Award Preasráiteas Suaitheantas Gradaim

Dathanna

An Dearadh

Maidir le Generate Images from Lines Gineadóir Dearaidh Inmheánaigh

Is córas intleachta shaorga é Gin Íomhánna ó Línte a chruthaíonn léaráidí dearaidh inmheánaigh ó línedhréachtaí. Tá an córas bunaithe ar mhúnla scaipthe feabhsaithe, oilte ar níos mó ná 20,000 íomhá dearaidh inmheánaigh a bailíodh agus a nótáladh ag dearthóirí gairmiúla. Cuireann dearthóirí línedhréacht lámhtharraingthe nó digiteach isteach agus roghnaíonn siad stíl mhaisiúcháin, mar shampla nua-aimseartha, Seapánach, Eorpach nó Sínis. Táirgtear léaráid laistigh de chúpla soicind. Athraítear dearaí trí líneadhréacht a chur in eagar, sa chaoi nach mbíonn gá le múnlú láimhe ná ath-léiriú a dhéanamh de láimh.

An Aitheantas

Maidir leis an Duais Iarainn A' Design Award

Bhuaigh an dearadh Generate Images from Lines Gineadóir Dearaidh Inmheánaigh Duais Iarainn A' Design Award, aitheantas gradamach a bhronntar ar dhea-dhearaí a chomhlíonann na riachtanais ghairmiúla agus thionsclaíocha a bhíonn á n-éileamh ó chruthuithe a ndearnadh go maith iad. Léiríonn buaiteoirí Iarainn scil mhór, speisialtóireacht ard, tuiscint saineolaí agus cumas cruthaitheach a gcruthaitheoirí. Táthar ag súil go mbeidh an dearadh Generate Images from Lines Gineadóir Dearaidh Inmheánaigh ina chruthú a bhfuil an-mheas air, a n-ardaítear agus a ghráitear atá praiticiúil agus nuálach. Comhtháthaíonn an dearadh seo a bhuaigh Duais Iarainn A' Design Award na cleachtais is fearr sa tionscal agus tá saintréithe teicniúla inniúla aige nasctha le heolas agus le tallann. Tá meas ar an dearadh Generate Images from Lines Gineadóir Dearaidh Inmheánaigh as a dhúthracht agus dearadh é chun feabhsuithe cáilíochta beatha a sholáthar a chabhraíonn leis an domhan a dhéanamh ina áit níos fearr.

Taobh Thiar den Dearadh

Pacáiste Preasa

Creidiúintí, baill foirne agus sonraí teicniúla curtha ar fáil ag an dearthóir.

Airíonna Uathúla: 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.
Toisí & Pacáistiú: 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.
Clibeanna: Artificial intelligence, Human-machine collaboration, Interior design, Generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Teicneolaíocht Táirgthe: 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.
Dúshlán Deartha: 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.
Taighde: 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.
Inspioráid: 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.
Fad an Tionscadail: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Sreabhadh Oibríochta: 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.