Dynamic Light and Shadow Rendering Algorithm of VR Scene Based on Global Illumination and Deep Learning

This paper aims to study the dynamic light and shadow rendering technology in VR (Virtual Reality) scene, and proposes an efficient rendering algorithm to improve the user experience and enhance the immersion of VR technology. Specifically, this paper proposes a new dynamic light and shadow rendering algorithm combining global illumination and DL (Deep Learning), which can improve the real-time performance while ensuring the authenticity of rendering. By optimizing the neural network model and designing efficient training strategies, the rendering performance of the algorithm is further improved. At the same time, the effectiveness and superiority of the algorithm are verified by simulation experiments, which provides a new solution for the light and shadow rendering of VR scenes. Experimental results show that, compared with traditional rendering algorithms, the algorithm proposed in this paper significantly improves the rendering speed and frame rate while maintaining high-quality lighting effects. And the users' scores basically reached more than 9 points, and the user feedback further confirmed the effectiveness of the algorithm in improving immersion and user experience. This research not only promotes the development of VR technology, but also provides strong support for realizing high-quality real-time rendering in more complex scenes in the future.