Adaptive rendering based on a weighted mixed-order estimator
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
http://link.springer.com/article/10.1007/s00371-017-1381-x/fulltext.html
Reference21 articles.
1. Bitterli, B., Rousselle, F., Moon, B., Guitián, J.A.I., Adler, D., Mitchell, K., Jarosz, W., Novák, J.: Nonlinearly weighted first-order regression for denoising Monte Carlo renderings. Comput. Gr. Forum 35(4), 107–117 (2016)
2. Chang, J.H.R., Wang, Y.C.F.: Propagated image filtering. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 10–18 (2015)
3. Cleveland, W.S.: Robust locally weighted regression and smoothing scatterplots. J. Am. Stat. Assoc. 74(368), 829–836 (1979)
4. DeCoro, C., Weyrich, T., Rusinkiewicz, S.: Density-based outlier rejection in Monte Carlo rendering. Comput. Gr. Forum 29(7), 2119–2125 (2010)
5. Delbracio, M., Musé, P., Buades, A., Chauvier, J., Phelps, N., Morel, J.M.: Boosting Monte Carlo rendering by ray histogram fusion. ACM Trans. Gr. 33(1), 8:1–8:15 (2014)
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