Improved sampling for gradient-domain metropolis light transport

Manzi, Marco; Rousselle, Fabrice; Kettunen, Markus; Lehtinen, Jaakko; Zwicker, Matthias (2014). Improved sampling for gradient-domain metropolis light transport. ACM transactions on graphics, 33(6), pp. 1-12. Association for Computing Machinery 10.1145/2661229.2661291

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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. We implement our framework on top of an existing Metropolis sampler, and we demonstrate significant improvements in visual and numerical quality of our results compared to previous work.

Item Type:

Journal Article (Original Article)


08 Faculty of Science > Institute of Computer Science (INF) > Computer Graphics Group (CGG)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Manzi, Marco; Rousselle, Fabrice and Zwicker, Matthias


000 Computer science, knowledge & systems
500 Science > 510 Mathematics




Association for Computing Machinery




Matthias Zwicker

Date Deposited:

19 Feb 2015 12:13

Last Modified:

20 Feb 2015 05:21

Publisher DOI:





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