Path guiding for wavefront path tracing: A memory efficient approach for GPU path tracers


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YALÇINER B., AKYÜZ A. O.

Computers and Graphics (Pergamon), vol.121, 2024 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 121
  • Publication Date: 2024
  • Doi Number: 10.1016/j.cag.2024.103945
  • Journal Name: Computers and Graphics (Pergamon)
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, Civil Engineering Abstracts
  • Keywords: Graphics processors, Monte Carlo rendering, Path guiding, Path tracing
  • Middle East Technical University Affiliated: Yes

Abstract

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.