Ferro Generativo · 2023
Generate Images from Lines Generatore di Interior Design
by Junming Chen
- A' Design Award di Ferro 2023 in Generativo
- CLIENT: Junming Chen
- Estimated Number of Design Views: 47,588
- Verification code E1E00EB23C · Verify this award
Colors
About Generate Images from Lines Generatore di Interior Design
Generate Images from Lines è un sistema di intelligenza artificiale che crea rendering di interior design a partire da disegni lineari. Il sistema si basa su un modello di diffusione migliorato, addestrato su oltre 20.000 immagini di interior design raccolte e annotate da designer professionisti. I progettisti inseriscono una bozza lineare disegnata a mano o in digitale e selezionano uno stile decorativo, ad esempio moderno, giapponese, europeo o cinese. Il rendering viene generato in pochi secondi. Le modifiche al progetto si effettuano intervenendo sulla bozza lineare, eliminando così la necessità di modellazione manuale e di un nuovo rendering.
About the A' Design Award di Ferro
Generate Images from Lines Generatore di Interior Design ha vinto l'A' Design Award di Ferro, un riconoscimento prestigioso conferito a buoni design che soddisfano i requisiti professionali e industriali attesi da creazioni ben progettate. I vincitori di Ferro dimostrano la grande abilità, l'elevata specializzazione, la comprensione esperta e la capacità creativa dei loro creatori. Ci si aspetta che Generate Images from Lines Generatore di Interior Design sia una creazione molto apprezzata, ammirata e amata, pratica e innovativa. Questo design vincitore dell'A' Design Award di Ferro integra le migliori pratiche del settore e ha caratteristiche tecniche competenti legate a know-how e talento. Generate Images from Lines Generatore di Interior Design è rispettato per la sua accuratezza ed è progettato per offrire miglioramenti della qualità della vita che aiutano a rendere il mondo un posto migliore.
Press Kit
- 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.
