DOI: 10.38007/978-1-80053-536-7

In an era where digital technology permeates all aspects of social production and life, the rapid development of artificial intelligence is triggering a profound industrial revolution and a transformation in thinking. The rise of generative artificial intelligence is pushing this revolution to new heights. From text creation and image generation to 3D modeling, generative AI, with its powerful data learning and autonomous creation capabilities, is breaking down the boundaries of traditional technologies and injecting new innovative vitality into various industries. Spatial design, as a comprehensive discipline combining functionality and artistry, has always sought breakthroughs through the collision of technology and creativity. The cross-disciplinary integration of generative AI and generative art is bringing unprecedented development opportunities to the field of spatial design and is driving the industry's transformation from a traditional experience-driven model to a new paradigm of data-driven, intelligent collaboration. For a long time, spatial design has faced many pressing challenges. At the level of creative generation, designers are often limited by individual experience, mental inertia, and rigid aesthetics, making it difficult to quickly break through the constraints of traditional design paths. This results in a large number of design works exhibiting a homogenization tendency, failing to meet people's personalized and diversified needs for space. In terms of efficiency improvement, traditional spatial design processes are cumbersome and complex. From conceptualization and scheme drawing to in-depth adjustments, they often require a significant investment of time and manpower, especially when dealing with large projects, comparing multiple schemes, or responding quickly to client needs, where efficiency bottlenecks are particularly prominent.

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