Computer Graphics Laboratory

Deep Compositional Denoising on Frame Sequences

X. Zhang, G. Roethlin, M. Manzi, M. Gross, M. Papas

Eurographics Symposium on Rendering (EGSR) (Delft, The Netherlands, June 28-30, 2023), Industry Track

Abstract

We propose a novel extension for processing frame sequences that provides context from neighboring frames while avoiding redundant computation and a novel quantization approach that reduces the memory overhead without introducing artifacts. Our method achieves a significant improvement in denoising quality over KPAL and ameliorates temporal denoising artifacts from the single-frame approach. This enables the use of the compositional denoiser in production settings.

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