Revolutionizing Art Education: Leveraging Diffusion Models for High-Fidelity 360° Panoramic Image Synthesis in Immersive Virtual Reality

The advent of virtual reality (VR) technologies has revolutionized numerous fields, including education. This paper introduces the Diffusion Model Enhanced Panoramic Synthesis in Virtual Reality (DiffusionPSVR) framework, which leverages text-to-image diffusion models to generate high-fidelity 360° panoramic images designed for immersive VR educational environments. By combining generative diffusion models with neural style transfer techniques, DiffusionPSVR enables the creation of realistic and customized learning landscapes. In a study involving non-art major students, our framework enhanced their engagement and comprehension of artistic concepts through interactive and immersive experiences. The results demonstrate that the DiffusionPSVR framework not only improves educational outcomes but also advances the learning process by offering a dynamic and visually interactive platform.