Generate Images from Lines Kizalishi cha Ubunifu wa Mambo ya Ndani by Junming Chen

Generate Images from Lines Kizalishi cha Ubunifu wa Mambo ya Ndani by Junming Chen is a highly esteemed winner of the very prestigious 2023 Tuzo ya Chuma ya A' Design Award in Usanifu wa Uzalishaji, Algorithimu, Parametriki na Msaada wa AI Competition Category.

ChumaUsanifu wa Uzalishaji· 2023

Generate Images from Lines Kizalishi cha Ubunifu wa Mambo ya Ndani

by Junming Chen

Client: Junming Chen

Tuzo ya Chuma ya A' Design Award Winner in Usanifu wa Uzalishaji Category

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Verified Award Winner

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View at A' Design Award Press Release Award Badge

Colors

The Design

About Generate Images from Lines Kizalishi cha Ubunifu wa Mambo ya Ndani

Generate Images from Lines ni mfumo wa akili bandia unaotengeneza picha za muundo wa mambo ya ndani kutoka kwenye michoro ya mistari. Mfumo huu unategemea kielelezo bora cha diffusion, kilichofunzwa kwa kutumia zaidi ya picha 20,000 za usanifu wa mambo ya ndani zilizokusanywa na kuwekewa maelezo na wabunifu wataalamu. Wabunifu huweka mchoro wa awali wa mistari uliochorwa kwa mkono au kidijitali kisha kuchagua mtindo wa mapambo, kama vile wa kisasa, wa Kijapani, wa Kizungu au wa Kichina. Picha ya muundo huzalishwa ndani ya sekunde chache. Mabadiliko ya miundo hufanywa kwa kuhariri mchoro wa mistari, hivyo hakuna haja ya kutengeneza miundo kwa mikono upya au kuzalisha picha upya.

The Recognition

About the Tuzo ya Chuma ya A' Design Award

Generate Images from Lines Kizalishi cha Ubunifu wa Mambo ya Ndani ni mshindi wa Tuzo ya Chuma ya A' Design Award, utambuzi wenye heshima unaotolewa kwa miundo mizuri inayokidhi mahitaji ya kitaalamu na ya kiviwanda yanayotarajiwa kutoka kwa kazi zilizobuniwa vizuri. Washindi wa Chuma huonyesha ustadi mkubwa, utaalamu wa hali ya juu, uelewa wa kitaalamu na uwezo wa kibunifu wa waumbaji wao. Generate Images from Lines Kizalishi cha Ubunifu wa Mambo ya Ndani inatarajiwa kuwa kazi inayothaminiwa sana, kupendwa na kuenziwa, ambayo ni ya vitendo na bunifu. Muundo huu ulioshinda Tuzo ya Chuma ya A' Design Award unajumuisha mbinu bora za tasnia na una sifa za kiufundi zenye uwezo zilizounganishwa na ujuzi na kipaji. Generate Images from Lines Kizalishi cha Ubunifu wa Mambo ya Ndani inaheshimiwa kwa uangalifu wake na imebuniwa kutoa maboresho ya ubora wa maisha yanayosaidia kuufanya ulimwengu kuwa mahali bora zaidi.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: 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.
Dimensions & Packaging: 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.
Tags: Artificial intelligence, Human-machine collaboration, Interior design, Generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Production Technology: 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.
Design Challenge: 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.
Research: 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.
Inspiration: 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.
Project Duration: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Operation Flow: 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.