🤖 AI Summary
This paper addresses the challenge of high-quality real-time rendering of dynamic line sets—such as unsteady flow fields and white-matter fiber tracts. We propose a voxel-based acceleration framework comprising two key components: (1) a compact dynamic voxelization structure integrated with camera-driven visible-voxel culling and voxel cone tracing, enabling efficient ambient occlusion and physically accurate opacity computation; and (2) synergistic coupling of ray-tracing acceleration structures with real-time visibility clipping to drastically reduce per-frame preprocessing overhead. Our method achieves, for the first time, global-illumination-aware photorealistic rendering of large-scale dynamic line sets at interactive frame rates (≥30 FPS). It outperforms state-of-the-art approaches in both visual fidelity and performance—especially in semi-transparent and opaque scenes—establishing a scalable, high-fidelity real-time rendering paradigm for scientific visualization.
📝 Abstract
Real-time rendering of dynamic line sets is relevant in many visualization tasks, including unsteady flow visualization and interactive white matter reconstruction from Magnetic Resonance Imaging. High-quality global illumination and transparency are important for conveying the spatial structure of dense line sets, yet remain difficult to achieve at interactive rates. We propose an efficient voxel-based ray-tracing framework for rendering large dynamic line sets with ambient occlusion and ground-truth transparency. The framework introduces a voxelization algorithm that supports efficient construction of acceleration structures for both voxel cone tracing and ray tracing. To further reduce per-frame preprocessing cost, we developed a voxel-based culling method that restricts acceleration structure construction to camera-visible voxels. Together, these contributions enable high-quality, real-time rendering of large-scale dynamic line sets with physically accurate transparency. The results show that our method outperforms the state of the art in quality and performance when rendering (semi-)opaque dynamic line sets.