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• W1997784634 abstract "Monte Carlo integration is firmly established as the basis for most practical realistic image synthesis algorithms because of its flexibility and generality. However, the visual quality of rendered images often suffers from estimator variance, which appears as visually distracting noise. The current shift in the computer graphics industry towards Monte Carlo rendering has sparked renewed interest in effective, practical noise reduction techniques that are applicable to a wide range of rendering effects, and easily integrated into existing production pipelines." @default.
• W1997784634 created "2016-06-24" @default.
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• W1997784634 date "2015-07-30" @default.
• W1997784634 modified "2023-09-24" @default.
• W1997784634 title "Denoising your Monte Carlo renders" @default.
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• W1997784634 doi "https://doi.org/10.1145/2776880.2792740" @default.
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