GitHub / HilaManor / GaussianDenoisingPosterior

We derive a fundamental property of the posterior distribution in Gaussian denoising, and use it to propose a new way for uncertainty visualization, which requires no training or fine-tuning.

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Commits: 11
Authors: 2
Mean commits per author: 5.5
Development Distribution Score: 0.273
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Topics: denoising, denoising-images, denoising-network, posterior-distributions, semantic-uncertainty, uncertainty, uncertainty-estimation, uncertainty-quantification, uncertainty-visualisation

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