Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Perceptual Conditional Generative Adversarial Networks for End-to-End
  Image Colourization   Colours are everywhere. They embody a significant part of human visual
perception. In this paper, we explore the paradigm of hallucinating colours
from a given gray-scale image. The problem of colourization has been dealt in
previous literature but mostly in a supervised manner involving
user-interference. With the emergence of Deep Learning methods numerous tasks
related to computer vision and pattern recognition have been automatized and
carried in an end-to-end fashion due to the availability of large data-sets and
high-power computing systems. We investigate and build upon the recent success
of Conditional Generative Adversarial Networks (cGANs) for Image-to-Image
translations. In addition to using the training scheme in the basic cGAN, we
propose an encoder-decoder generator network which utilizes the class-specific
cross-entropy loss as well as the perceptual loss in addition to the original
objective function of cGAN. We train our model on a large-scale dataset and
present illustrative qualitative and quantitative analysis of our results. Our
results vividly display the versatility and proficiency of our methods through
life-like colourization outcomes.

7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex
6
The categories of this paper are: astro-ph
8
The categories of this paper are: hep-ex
5
The categories of this paper are: gr-qc
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
26
The categories of this paper are: bayes-an
23
The categories of this paper are: solv-int
28
The categories of this paper are: alg-geom
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
14
The categories of this paper are: math-ph