Deep residual learning for denoising Monte Carlo renderings

Computational Visual Media, pp. 239-255, 2019.

Cited by: 1|Views5
EI

Abstract:

Learning-based techniques have recently been shown to be effective for denoising Monte Carlo rendering methods. However, there remains a quality gap to state-of-the-art handcrafted denoisers. In this paper, we propose a deep residual learning based method that outperforms both state-of-the-art handcrafted denoisers and learning-based deno...More

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