Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SPG-Net: Segmentation Prediction and Guidance Network for Image
  Inpainting   In this paper, we focus on image inpainting task, aiming at recovering the
missing area of an incomplete image given the context information. Recent
development in deep generative models enables an efficient end-to-end framework
for image synthesis and inpainting tasks, but existing methods based on
generative models don't exploit the segmentation information to constrain the
object shapes, which usually lead to blurry results on the boundary. To tackle
this problem, we propose to introduce the semantic segmentation information,
which disentangles the inter-class difference and intra-class variation for
image inpainting. This leads to much clearer recovered boundary between
semantically different regions and better texture within semantically
consistent segments. Our model factorizes the image inpainting process into
segmentation prediction (SP-Net) and segmentation guidance (SG-Net) as two
steps, which predict the segmentation labels in the missing area first, and
then generate segmentation guided inpainting results. Experiments on multiple
public datasets show that our approach outperforms existing methods in
optimizing the image inpainting quality, and the interactive segmentation
guidance provides possibilities for multi-modal predictions of image
inpainting.

33
The categories of this paper are: plasm-ph
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
28
The categories of this paper are: alg-geom
5
The categories of this paper are: gr-qc
23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
15
The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
13
The categories of this paper are: quant-ph
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The categories of this paper are: q-fin
6
The categories of this paper are: astro-ph
2
The categories of this paper are: math
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an