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. We introduce a voxelization algorithm that supports efficient on-the-fly construction of acceleration structures for both voxel cone tracing and ray tracing. To further reduce per-frame preprocessing cost, we propose a voxel-based culling method that restricts acceleration structure construction to camera-visible voxels. Together, these contributions enable real-time rendering of large-scale dynamic line sets with high quality and physically accurate transparency. We demonstrate that our method outperforms the state of the art in quality and performance when rendering (semi-)opaque dynamic line sets.

翻译：动态线集的实时渲染在许多可视化任务中具有重要意义，包括非定常流场可视化以及磁共振成像中白质结构的交互式重建。高质量的全局光照与透明度对于传达密集线集的空间结构至关重要，然而在交互速率下实现这些效果仍具挑战性。本文提出一种高效的基于体素的光线追踪框架，用于渲染具有环境遮挡与真实透明度的大规模动态线集。我们提出一种体素化算法，支持为体素锥追踪和光线追踪动态构建高效的加速结构。为进一步降低每帧预处理开销，我们提出一种基于体素的剔除方法，将加速结构的构建限制在相机可见的体素范围内。这些技术共同实现了大规模动态线集的高质量、物理精确透明度的实时渲染。实验证明，在渲染（半）不透明动态线集时，我们的方法在渲染质量与性能方面均优于现有技术。