NeRF as super-resolution method
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2021-06-18
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en
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Abstract
This thesis is concerning itself with the question whether Neural radiance
elds (NeRF) can be used to perform super-resolution. The NeRF method
learns a scene representation by receiving images of said scene to train on.
As this representation receives information from multiple images we hy-
pothesise that the learned representation contains more information than
a single image does and could thus create accurate high-resolution outputs
while only training on low-resolution images.
We observe that the creation of HR images is quite possible, the quality of
these is however, only in very limited situations, comparable with interpo-
lation based super-resolution methods and signi cantly worse then state-of-
the-art methods.
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Faculteit der Sociale Wetenschappen