2021/12/17 by Mikhail Derevyannykh, Derevyannykh, Mikhail
Computer Science · Physics and Astronomy · #Color Science and Applications #FOS: Computer and information sciences #Graphics (cs.GR) #Image Enhancement Techniques #Image and Video Quality Assessment
paper · pdf · doi:10.48550/arxiv.2112.09728
openalex publication_date 2021/12/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Path-Guiding algorithms for sampling scattering directions can drastically decrease the variance of Monte Carlo estimators of Light Transport Equation, but their usage was limited to offline rendering because of memory and computational limitations. We introduce a new robust screen-space technique that is based on online learning of parametric mixture models for guiding the real-time path-tracing algorithm. It requires storing of 8 parameters for every pixel, achieves a reduction of FLIP metric up to 4 times with 1 spp rendering. Also, it consumes less than 1.5ms on RTX 2070 for 1080p and reduces path-tracing timings by generating more coherent rays by about 5% on average. Moreover, it leads to significant bias reduction and a lower level of flickering of SVGF output.