Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Style Transfer for Light Field Photography   As light field images continue to increase in use and application, it becomes
necessary to adapt existing image processing methods to this unique form of
photography. In this paper we explore methods for applying neural style
transfer to light field images. Feed-forward style transfer networks provide
fast, high-quality results for monocular images, but no such networks exist for
full light field images. Because of the size of these images, current light
field data sets are small and are insufficient for training purely feed-forward
style-transfer networks from scratch. Thus, it is necessary to adapt existing
monocular style transfer networks in a way that allows for the stylization of
each view of the light field while maintaining visual consistencies between
views. Instead, the proposed method backpropagates the loss through the
network, and the process is iterated to optimize (essentially overfit) the
resulting stylization for a single light field image alone. The network
architecture allows for the incorporation of pre-trained fast monocular
stylization networks while avoiding the need for a large light field training
set.

27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
14
The categories of this paper are: math-ph
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
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The categories of this paper are: cmp-lg
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph
16
The categories of this paper are: stat
18
The categories of this paper are: econ
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat