Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Image Inpainting with External-internal Learning and Monochromic
  Bottleneck   Although recent inpainting approaches have demonstrated significant
improvements with deep neural networks, they still suffer from artifacts such
as blunt structures and abrupt colors when filling in the missing regions. To
address these issues, we propose an external-internal inpainting scheme with a
monochromic bottleneck that helps image inpainting models remove these
artifacts. In the external learning stage, we reconstruct missing structures
and details in the monochromic space to reduce the learning dimension. In the
internal learning stage, we propose a novel internal color propagation method
with progressive learning strategies for consistent color restoration.
Extensive experiments demonstrate that our proposed scheme helps image
inpainting models produce more structure-preserved and visually compelling
results.

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The categories of this paper are: hep-ph
19
The categories of this paper are: eess
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
16
The categories of this paper are: stat
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
30
The categories of this paper are: q-alg
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th
18
The categories of this paper are: econ
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
34
The categories of this paper are: chem-ph