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Yeah thats not a source at all. Its a collection of paper on the relevant topic. The claim of the parent comment was > but super-resolution from video works.
by _visgean 6y ago
Yeah thats not a source at all. Its a collection of paper on the relevant topic.
The claim of the parent comment was
> but super-resolution from video works. It doesn't make up information based on what it expects the face to be, but collects and aggregates information from multiple frames.
So I was simply interested in hearing where this claim comes from. Has any of these papers mentioned that this is the case? I briefly went through some of them but did not see any such guarantee.
- murbard2 6y agoMany of the modern ones are based on deep learning and might indeed capture priors for faces. However, other approaches do not depend on machine-learning. The priors that they implicitly use are weak or rather general (e.g. natural images have mostly sparse wavelet representations, videos represent things that move mostly continuously, etc). They essentially compensate for the motion over several frames and use the redundant information to denoise the result.