Web Virtual Reality (WebVR)

Improve Rendering of Dynamic 3D Meshes in WebVR Environments with QoE-aware Level of Detail Adaptation

Dynamic 3D meshes are crucial for immersive Virtual Reality (VR)applications, but rendering multiple high-quality meshes in WebVR environments is challenging due to limited GPU memory and computational resources. This paper presents a QoE-aware adaptive rendering framework that jointly considers perceptual quality, geometric complexity, and GPU memory constraints for Level of Detail(LoD) allocation. The LoD selection is formulated as a constrained optimization problem to maximize overall QoE under available resource budgets. Experimental results on a Meta Quest 2 head-set show that the proposed framework improves scene scalability, increases the number of rendered meshes by 8× while maintaining comparable runtime performance to conventional approaches and achieving better perceptual quality under varying GPU memory constraints.