813 citations · 1.2k across the 10 of their papers we have counts for
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cs.CV2016
An extended Perona-Malik model based on probabilistic models
Lars M. Mescheder, Dirk A. Lorenz
The Perona-Malik model has been very successful at restoring images from noisy input. In this paper, we reinterpret the Perona-Malik model in the language of Gaussian scale mixture…
cs.LG2016
Probabilistic Duality for Parallel Gibbs Sampling without Graph Coloring
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
We present a new notion of probabilistic duality for random variables involving mixture distributions. Using this notion, we show how to implement a highly-parallelizable Gibbs sam…