Path Guiding for Wavefront Path Tracing: A Memory Efficient Approach for GPU Path Tracers
<|reference_start|>Path Guiding for Wavefront Path Tracing: A Memory Efficient Approach for GPU Path Tracers: 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.<|reference_end|>
@article{yalçıner2024path,
    title={Path Guiding for Wavefront Path Tracing: A Memory Efficient Approach for
  GPU Path Tracers},
    author={Bora Yalc{c}{i}ner (1), Ahmet Ou{g}uz Aky"uz (1) ((1) Middle East
  Technical University, Computer Engineering Department, Ankara, Turkey)},
    journal={arXiv preprint arXiv:2405.06997},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.06997},
    primaryClass={cs.GR}
}