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Can AI Replace an Interior Designer? A Review of Designing Neural Networks: Pros and Cons

DOI : 10.17577/

 

Over a couple of years, there has been a rapid surge in AI-driven solutions within the global interior design market. With the advent of the revolutionary ChatGPT model in 2022, enterprises rushed to incorporate neural networks, leading to an increase in the development of AI-based products. In this review, we will highlight the pros and cons of using AI in interior design and consider whether computational models could replace human specialists in the near future.

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How Can AI Be Utilized for Creating Interior Design Projects?

Home space design is a wide-ranging niche where neural networks are actively incorporated. According to Yahoo Finance, the AI interior design market is projected to hit USD 6.96 billion by 2032, fueled by widespread neural network adoption across diverse construction and design industries.

The realm of AI has never been more pertinent than it is nowadays. In the past, it took several days or even weeks to generate versatile design concepts and layouts. Now, it has become a reality to visualise interiors in just a few clicks, without any prior knowledge of graphic software.

AI is predominantly used for the following tasks in interior decoration:

  • Generation of graphic content, such as logos, banners, and design layouts;
  • Image processing and visual effects, such as replacing the background or adding additional elements.
  • Selection of color palettes and composition;
  • Interior visualization;
  • Animation and video processing.

The tasks performed by AI tools in design can be divided into two subcategories:

  1. The neural network fully executes a specific stage of work or the entire task. For instance, interior design is generated for a specific room.
  2. The AI assistant aids with smaller tasks like drawing textures for design elements.

Different neural networks are employed for these processes. For example, in the first case, designers most often turn to Midjourney, which offers the highest-quality images, but can be complicated to uncover. Other neural networks are either based on Midjourney or are standalone products, such as Interior AI, Deep Dream, Stable Diffusion, and Playground AI. There are numerous successful examples when designers have produced realistic images using handy AI tools.

AI In Design: Pros&Cons

It is crucial to perceive neural networks as tools rather than ultimate solutions. Neural networks drastically speed up the work of a top-notch specialist who knows how to handle them. AI can handle routine tasks such as searching for references, generating ideas, and replacing colors and backgrounds.

However, the solutions from AI may be mediocre, devoid of uniqueness. If a designer lacks competence and relies on Pinterest ideas, the AI tools might produce better results than they would.

Another challenge with AI is its complexity. For instance, Midjourney can draw the finest images, but crafting a good prompt with clarifications can be a real challenge. Learning to communicate with an AI assistant can take considerable time, while simpler solutions like ReimagineHome, AI HomeDesign, and Visualize AI may provide unsatisfactory results.

Let’s summarize the pros and cons of neural networks in interior design.

Pros: 

  1. They simplify the designers’ work during the initial stages by assisting with reference selection and idea generation.
  2. AI can take over routine tasks, saving time and effort.

Cons:

  1. The solutions tend to be standard and lack creativity.
  2. Advanced neural networks are complicated, and simpler ones demonstrate worse performance.

Can AI Replace Design Experts?

To address these questions, it is pivotal to acknowledge how AI functions. The more advanced the neural network, the more unique its results tend to be. Nevertheless, artificial intelligence cannot “think” independently and generate innovative design concepts on the spot.

Furthermore, as most designers will attest, the greatest challenge is not creating a layout but rather reaching an agreement with clients or contractors. AI cannot clarify specifications, analyze the conditions, negotiate, or devise a cooperative strategy that meets the interests of all parties involved.

Thus, human specialists have three indisputable advantages over neural networks:

  1. Creativity and Intuitive Thinking. Designers possess the ability to solve complex problems and develop unconventional solutions based on their experiences and understanding.
  2. Independent Solution Formulation. Clients may struggle with articulating their needs clearly. Designers can assist this process by asking guiding questions and giving references.
  3. Negotiation Skills. Effective communication requires diplomacy, reading non-verbal signs, and understanding of context. Unfortunately, AI cannot visualize long-term perspectives.

Final Thoughts

Despite their impressive ability to generate top-notch interior designs, it is unlikely that neural networks will completely replace designers. By their very nature, AI systems are unable to handle the tasks that human professionals excel at.