Published October 5, 2023 | Version Author Version v01
Conference paper Open

Perceptual error optimization for Monte Carlo animation rendering

  • 1. Saarland University, DFKI
  • 2. Max Planck Institute for Informatics
  • 3. Adobe
  • 4. Saarland University

Description

Independently estimating pixel values in Monte Carlo rendering results in a perceptually sub-optimal white-noise distribution of error in image space. Recent works have shown that perceptual fidelity can be improved significantly by distributing pixel error as blue noise instead. Most such works have focused on static images, ignoring the temporal perceptual effects of animation display. We extend prior formulations to simultaneously consider the spatial and temporal domains, and perform an analysis to motivate a perceptually better spatio-temporal error distribution. We then propose a practical error optimization algorithm for spatio-temporal rendering and demonstrate its effectiveness in various configurations.

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Additional details

Funding

PRIME – Predictive Rendering In Manufacture and Engineering 956585
European Commission