Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature
  Equalizations   Deep encoder-decoder based CNNs have advanced image inpainting methods for
hole filling. While existing methods recover structures and textures
step-by-step in the hole regions, they typically use two encoder-decoders for
separate recovery. The CNN features of each encoder are learned to capture
either missing structures or textures without considering them as a whole. The
insufficient utilization of these encoder features limit the performance of
recovering both structures and textures. In this paper, we propose a mutual
encoder-decoder CNN for joint recovery of both. We use CNN features from the
deep and shallow layers of the encoder to represent structures and textures of
an input image, respectively. The deep layer features are sent to a structure
branch and the shallow layer features are sent to a texture branch. In each
branch, we fill holes in multiple scales of the CNN features. The filled CNN
features from both branches are concatenated and then equalized. During feature
equalization, we reweigh channel attentions first and propose a bilateral
propagation activation function to enable spatial equalization. To this end,
the filled CNN features of structure and texture mutually benefit each other to
represent image content at all feature levels. We use the equalized feature to
supplement decoder features for output image generation through skip
connections. Experiments on the benchmark datasets show the proposed method is
effective to recover structures and textures and performs favorably against
state-of-the-art approaches.

12
The categories of this paper are: nucl-th
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
37
The categories of this paper are: supr-con
13
The categories of this paper are: quant-ph
16
The categories of this paper are: stat
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
22
The categories of this paper are: chao-dyn