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NAN: Noise-Aware NeRFs for Burst-Denoising. (arXiv:2204.04668v2 [cs.CV] UPDATED)
April 13, 2022, 1:11 a.m. | Naama Pearl, Tali Treibitz, Simon Korman
cs.CV updates on arXiv.org arxiv.org
Burst denoising is now more relevant than ever, as computational photography
helps overcome sensitivity issues inherent in mobile phones and small cameras.
A major challenge in burst-denoising is in coping with pixel misalignment,
which was so far handled with rather simplistic assumptions of simple motion,
or the ability to align in pre-processing. Such assumptions are not realistic
in the presence of large motion and high levels of noise. We show that Neural
Radiance Fields (NeRFs), originally suggested for physics-based novel-view …
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