Interactive Multi-GPU Light Field Path Tracing Using Multi-Source Spatial Reprojection

Path tracing combined with multiview displays enables progress towards achieving ultrarealistic virtual reality. However, multiview displays based on light field technology impose a heavy workload for real-time graphics due to the large number of views to be rendered. In order to achieve low latency performance, computational effort can be reduced by path tracing only some views (source views), and synthesizing the remaining views (target views) through spatial reprojection, which reuses path traced pixels from source views to target views. Deciding the number of source views with respect to the computational resources is not trivial, since spatial reprojection introduces dependencies in the otherwise trivially parallel rendering pipeline and path tracing multiple source views increases the computation time.

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Published
2024-09-22
DOI
https://doi.org/10.1145/3641825.3687710
Primary Topic
Advanced Vision and Imaging
Type
article
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article

Interactive Multi-GPU Light Field Path Tracing Using Multi-Source Spatial Reprojection

Markku Mäkitalo, Pekka Jääskeläinen, Mårten Sjöström, Erwan Leria et al.
Advanced Vision and Imaging
article

Interactive Multi-GPU Light Field Path Tracing Using Multi-Source Spatial Reprojection

Markku Mäkitalo, Pekka Jääskeläinen, Mårten Sjöström, Erwan Leria, Tingting Zhang
article en

Abstract

Path tracing combined with multiview displays enables progress towards achieving ultrarealistic virtual reality. However, multiview displays based on light field technology impose a heavy workload for real-time graphics due to the large number of views to be rendered. In order to achieve low latency performance, computational effort can be reduced by path tracing only some views (source views), and synthesizing the remaining views (target views) through spatial reprojection, which reuses path traced pixels from source views to target views. Deciding the number of source views with respect to the computational resources is not trivial, since spatial reprojection introduces dependencies in the otherwise trivially parallel rendering pipeline and path tracing multiple source views increases the computation time.

Tampere University (FI), Mid Sweden University (SE)
Openalex Percentile: Top 85%
Advanced Vision and Imaging
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Interactive Multi-GPU Light Field Path Tracing Using Multi-Source Spatial Reprojection — Markku Mäkitalo, Pekka Jääskeläinen, et al. · (2024) | TGRS Research Map | TGRS