Generative Artificial Intelligence in 3D Scene Generation

This research paper investigates the capabilities of generative artificial intelligence (Gen AI) in 3D scene generation, focusing on its transformative potential in creative processes across various domains such as architecture, design, and education. The paper outlines how Gen AI leverages advanced machine learning models, including diffusion models and transformer-based architectures, to create photorealistic 3D environments with minimal human intervention. It details the benefits of these technologies in supporting remote education and professional training by providing immersive experiences and fostering accessible virtual learning spaces. The research also addresses the challenges associated with usability, computational demands, and ethical considerations, such as biases and intellectual property concerns. By analyzing existing models and proposing a novel AI-driven system, the paper aims to contribute to the discourse on the role of generative systems in shaping the future of virtual education and training, emphasizing their potential to democratize access to experiential learning and improve workforce readiness.