Virtual reality scenes oriented towards immersive interaction have strict requirements for real-time rendering, such as high frame rate, low latency, and visual consistency. Traditional rendering methods are difficult to ensure both real-time performance and immersive experience under limited computing resources. This article systematically explores the key technologies and implementation paths of intelligent rendering methods: firstly, it analyzes the rendering pressure bottleneck, multi view continuity, and visual dual constraints caused by immersive interaction; Furthermore, an intelligent rendering mechanism based on gaze point prediction, scene semantic modeling, and closed-loop resource allocation will be constructed; On this basis, adaptive strategies such as behavior driven detail level adjustment, dynamic and static differentiation processing, spatiotemporal consistency, and load coordination are proposed; Finally, the evaluation indicators, stability analysis, and scalability verification of real-time performance and immersion are discussed. This article provides a system framework for the theoretical construction and engineering implementation of intelligent rendering methods.