We propose a path-guiding algorithm to be incorporated into the wavefront style of path tracers (WFPTs). As WFPTs are primarily implemented on graphics processing units (GPUs), the proposed method aims to leverage the capabilities of the GPUs and reduce the hierarchical data structure and memory usage typically required for such techniques. To achieve this, our algorithm only stores the radiant exitance on a single global sparse voxel octree (SVO) data structure. Probability density functions required to guide the rays are generated on-the-fly using this data structure. The proposed approach reduces the scene-related persistent memory requirements compared to other path-guiding techniques while producing similar or better results depending on scene characteristics. To our knowledge, our algorithm is the first one that incorporates path guiding into a WFPT.

翻译：我们提出了一种可集成于波前路径追踪器(WFPT)的路径引导算法。由于WFPT主要在图形处理单元(GPU)上实现，所提方法旨在充分利用GPU的计算能力，同时减少此类技术通常所需的层次化数据结构与内存占用。为此，本算法仅将辐射出射度存储于单一全局稀疏体素八叉树(SVO)数据结构中，并利用该结构实时生成引导光线所需的概率密度函数。相较其他路径引导技术，所提方法降低了与场景相关的持久内存需求，且根据场景特性可生成相似或更优的结果。据我们所知，本算法是首个将路径引导融入WFPT的方案。