Locally-guided neural denoising

Published: 01 Jan 2022, Last Modified: 13 Nov 2024Graph. Vis. Comput. 2022EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Current denoising algorithms do not work well with spatially concentrated noise.•We propose to generate guidance images used to guide the denoising process.•Many denoising algorithms can benefit from guidance with minor modifications only.•The work is evaluated on two exemplary state-of-the-art denoising approaches.
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