Junming Chen tarapyndan Generate Images from Lines Interýer Dizaýn Generatory

Junming Chen tarapyndan döredilen Generate Images from Lines Interýer Dizaýn Generatory dizaýny Generatiw, Algoritmik, Parametrik we AI Goldawly Dizaýn Bäsleşik Kategoriýasynda 2023 A' Design Award Demir Baýragy baýragynyň abraýly ýeňijisidir.

DemirGeneratiw· 2023

Generate Images from Lines Interýer Dizaýn Generatory

dizaýner: Junming Chen

Müşderi: Junming Chen

Generatiw Kategoriýasynda A' Design Award Demir Baýragy Ýeňijisi

48,097

Tassyklanan Baýrak Ýeňijisi

#150690 üçin Baýrak Ýagdaýyny Barlaň

A' Design Award-da görüň Metbugat beýannamasy Baýrak nyşany

Reňkler

Dizaýn

Generate Images from Lines Interýer Dizaýn Generatory hakynda

Çyzgylardan Şekil Döretmek – çyzgy suratlaryndan interýer dizaýn şekillerini döredýän emeli intellekt ulgamydyr. Ulgam kämilleşdirilen diffuziýa modeline esaslanýar we hünärmen dizaýnerler tarapyndan ýygnalyp bellik edilen 20,000-den gowrak interýer dizaýn suratynda öwredilendir. Dizaýnerler golýazma ýa-da sanly çyzgy taslamasyny girizýärler we döwrebap, ýapon, ýewropa ýa-da hytaý ýaly bezeg stilini saýlaýarlar. Şekil birnäçe sekuntda döredilýär. Dizaýnlar çyzgy taslamasyny üýtgetmek arkaly täzelenýär, şonuň üçin el bilen modelleştirmek we gaýtadan şekillendirmek zerurlygy ýok.

Ykrar etme

A' Design Award Demir Baýragy hakynda

Generate Images from Lines Interýer Dizaýn Generatory A' Design Award Demir Baýragynyň ýeňijisidir; bu gowy dizaýn edilen eserlerden garaşylýan hünär we senagat talaplaryny kanagatlandyrýan gowy dizaýnlara berilýän abraýly ykrarnamadyr. Demir ýeňijileri döredijileriniň uly başarnygyny, ýokary ugurlaşygyny, hünärmen düşünjesini we döredijilik ukybyny görkezýär. Generate Images from Lines Interýer Dizaýn Generatory uly baha berilýän, haýran galynýan we söýülýän, amaly we täzelikçi eser bolmagy garaşylýar. A' Design Award Demir Baýragyny gazanan bu dizaýn pudagyň iň oňat tejribelerini birleşdirýär we bilim we zehin bilen baglanyşykly ukyply tehniki aýratynlyklara eýedir. Generate Images from Lines Interýer Dizaýn Generatory jikme-jikligi üçin hormatlanylýar we dünýäni has gowy ýere öwürmäge kömek edýän ýaşaýyş hilini gowulandyrýan zatlary hödürlemek üçin dizaýn edilendir.

Dizaýnyň sahna arkasy

Metbugat toplumy

Dizaýner tarapyndan berlen kreditler, topar agzalary we tehniki maglumatlar.

Üýtgeşik Aýratynlyklar: 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.
Ölçegler we Gaplama: 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.
Bellikler: Artificial intelligence, Human-machine collaboration, Interior design, Generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Önümçilik Tehnologiýasy: 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.
Dizaýn Kynçylygy: 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.
Gözleg: 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.
Ylham: 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.
Taslama Dowamlylygy: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Iş Akymy: 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.