Research on Interior Design Paths from The Perspective of AI

Authors

  • Jiaqun Li

DOI:

https://doi.org/10.54691/wv1nf133

Keywords:

Residential Design; AIGC; Design Path.

Abstract

This study explores the in-depth application of generative AI in interior design. It reviews the evolution of generative AI and analyzes its significant advantages and specific use cases across different stages of contemporary interior design. The research explains the underlying principles and project framework for optimizing design methods with generative AI. Through residential case studies, it examines the practical challenges of implementation and offers insights into future developments. The study aims to introduce an innovative working approach to the interior design industry, enhancing both efficiency and quality, while promoting intelligent and personalized design advancement.

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References

[1] Zhang Mingzhe. Innovative Application of Art Design in the Era of Generative Artificial Intelligence [J]. Tiangong, 2024 (17): 37-39.

[2] Zhang Chengyu, Shi Zhenyu, Zhang Xin. Research on Methods of Optimizing Interior Design Workflow with AIGC Technology - Taking Stable Diffusion and Vega AI as Examples [J]. Journal of Jiangsu Second Normal University, 2024 (2): 19-29.

[3] ZhuZhiting, DaiLing, HuJiao. High-awareness Generative Learning: Learning Paradigm Innovation Empowered by AIGC Technology [J]. Research on Audio-visual Education, 2023 (6): 5-14.

[4] Chen Yongwei. Beyond ChatGPT: Opportunities, Risks and Challenges of Generative AI [J]. Journal of Shandong University (Philosophy and Social Sciences Edition), 2023 (3): 127-143.

[5] Min Jiajian, Yu Borou, Zhang Xin. Exploration of design teaching in the era of generative artificial intelligence: A case study of the “AI Generative Imaging” course at Tsinghua University [J]. Journal of Architecture, 2023(10): 42-49.

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Published

2025-09-16

Issue

Section

Articles

How to Cite

Li, Jiaqun. 2025. “Research on Interior Design Paths from The Perspective of AI”. Scientific Journal Of Humanities and Social Sciences 7 (10): 43-47. https://doi.org/10.54691/wv1nf133.