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Graph."],"published-print":{"date-parts":[[2014,11,19]]},"abstract":"<jats:p>We present a generalized framework for gradient-domain Metropolis rendering, and introduce three techniques to reduce sampling artifacts and variance. The first one is a heuristic weighting strategy that combines several sampling techniques to avoid outliers. The second one is an improved mapping to generate offset paths required for computing gradients. Here we leverage the properties of manifold walks in path space to cancel out singularities. Finally, the third technique introduces generalized screen space gradient kernels. This approach aligns the gradient kernels with image structures such as texture edges and geometric discontinuities to obtain sparser gradients than with the conventional gradient kernel. 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Kollig T. and Keller A. 2006. Illumination in the presence of weak singularities. In Monte Carlo and Quasi-Monte Carlo Methods 2004 H. Niederreiter and D. Talay Eds. Springer Berlin Heidelberg 245--257.","DOI":"10.1007\/3-540-31186-6_15"},{"key":"e_1_2_2_14_1","doi-asserted-by":"crossref","unstructured":"Kontkanen J. R\u00e4s\u00e4nen J. and Keller A. 2004. Irradiance filtering for monte carlo ray tracing. In Monte Carlo and Quasi-Monte Carlo Methods 2004 Springer 259--272.  Kontkanen J. R\u00e4s\u00e4nen J. and Keller A. 2004. Irradiance filtering for monte carlo ray tracing. 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