Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings

We address the problem of denoising Monte Carlo renderings by studying existing approaches and proposing a new algorithm that yields state‐of‐the‐art performance on a wide range of scenes. We analyze existing approaches from a theoretical and empirical point of view, relating the strengths and limit...

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Vydané v:	Computer graphics forum Ročník 35; číslo 4; s. 107 - 117
Hlavní autori:	Bitterli, Benedikt, Rousselle, Fabrice, Moon, Bochang, Iglesias-Guitián, José A., Adler, David, Mitchell, Kenny, Jarosz, Wojciech, Novák, Jan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Blackwell Publishing Ltd 01.07.2016
Predmet:	Algorithms Buffers Categories and Subject Descriptors (according to ACM CCS) Collaboration Computer graphics Computer simulation I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism-Raytracing I.4.3 [Computer Graphics]: Enhancement-Filtering Monte Carlo methods Monte Carlo simulation Noise reduction Regression Regression analysis Rendering Studies
ISSN:	0167-7055, 1467-8659
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