Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Advanced Single Image Resolution Upsurging Using a Generative
  Adversarial Network   The resolution of an image is a very important criterion for evaluating the
quality of the image. A higher resolution of an image is always preferable as
images of lower resolution are unsuitable due to fuzzy quality. A higher
resolution of an image is important for various fields such as medical imaging;
astronomy works and so on as images of lower resolution becomes unclear and
indistinct when their sizes are enlarged. In recent times, various research
works are performed to generate a higher resolution of an image from its lower
resolution. In this paper, we have proposed a technique of generating higher
resolution images form lower resolution using Residual in Residual Dense Block
network architecture with a deep network. We have also compared our method with
other methods to prove that our method provides better visual quality images.

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The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
20
The categories of this paper are: acc-phys
16
The categories of this paper are: stat
3
The categories of this paper are: physics
30
The categories of this paper are: q-alg
14
The categories of this paper are: math-ph
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
2
The categories of this paper are: math
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
33
The categories of this paper are: plasm-ph
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
34
The categories of this paper are: chem-ph