Generate Images from Lines Xerador de Deseño de Interiores de Junming Chen

O deseño Generate Images from Lines Xerador de Deseño de Interiores de Junming Chen é un estimado gañador do moi prestixioso 2023 A' Design Award de Ferro na Categoría de Competición Deseño Xerativo, Algorítmico, Paramétrico e Asistido por IA.

FerroXerativo· 2023

Generate Images from Lines Xerador de Deseño de Interiores

de Junming Chen

Cliente: Junming Chen

Gañador do A' Design Award de Ferro na Categoría Xerativo

48,097

Gañador de Premio Verificado

Verificar o Estado do Premio para #150690

Ver en A' Design Award Nota de prensa Distintivo do premio

Cores

O Deseño

Sobre Generate Images from Lines Xerador de Deseño de Interiores

Generate Images from Lines é un sistema de intelixencia artificial que crea renderizacións de deseño de interiores a partir de deseños de liñas. O sistema baséase nun modelo de difusión mellorado, adestrado con máis de 20.000 imaxes de deseño de interiores recollidas e anotadas por deseñadores profesionais. Os deseñadores introducen un bosquexo de liñas debuxado a man ou dixital e seleccionan un estilo decorativo, como moderno, xaponés, europeo ou chinés. Nunhas poucas segundos xérase unha renderización. Os deseños cámbianse editando o bosquexo de liñas, polo que non se require modelaxe manual nin unha nova renderización.

O Recoñecemento

Sobre o A' Design Award de Ferro

Generate Images from Lines Xerador de Deseño de Interiores gañou o A' Design Award de Ferro, un recoñecemento prestixioso outorgado a bos deseños que cumpren os requisitos profesionais e industriais esperados de creacións ben deseñadas. Os gañadores Ferro demostran a gran habilidade, a alta especialización, a comprensión experta e a capacidade creativa dos seus creadores. Espérase que Generate Images from Lines Xerador de Deseño de Interiores sexa unha creación moi apreciada, admirada e querida que é práctica e innovadora. Este deseño gañador do A' Design Award de Ferro integra as mellores prácticas do sector e ten características técnicas competentes ligadas ao saber facer e ao talento. Generate Images from Lines Xerador de Deseño de Interiores é respectado pola súa minuciosidade e está deseñado para proporcionar melloras na calidade de vida que axudan a facer do mundo un lugar mellor.

Detrás do deseño

Kit de prensa

Créditos, membros do equipo e detalles técnicos proporcionados polo deseñador.

Propiedades Únicas: 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.
Dimensións e Embalaxe: 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.
Etiquetas: Artificial intelligence, Human-machine collaboration, Interior design, Generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Tecnoloxía de Produción: 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.
Reto de Deseño: 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.
Investigación: 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.
Inspiración: 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.
Duración do Proxecto: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Fluxo de Operacións: 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.