Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Efficient Progressive High Dynamic Range Image Restoration via Attention
  and Alignment Network   HDR is an important part of computational photography technology. In this
paper, we propose a lightweight neural network called Efficient
Attention-and-alignment-guided Progressive Network (EAPNet) for the challenge
NTIRE 2022 HDR Track 1 and Track 2. We introduce a multi-dimensional
lightweight encoding module to extract features. Besides, we propose
Progressive Dilated U-shape Block (PDUB) that can be a progressive
plug-and-play module for dynamically tuning MAccs and PSNR. Finally, we use
fast and low-power feature-align module to deal with misalignment problem in
place of the time-consuming Deformable Convolutional Network (DCN). The
experiments show that our method achieves about 20 times compression on MAccs
with better mu-PSNR and PSNR compared to the state-of-the-art method. We got
the second place of both two tracks during the testing phase. Figure1. shows
the visualized result of NTIRE 2022 HDR challenge.

8
The categories of this paper are: hep-ex
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
5
The categories of this paper are: gr-qc
7
The categories of this paper are: hep-th
17
The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an
12
The categories of this paper are: nucl-th
33
The categories of this paper are: plasm-ph
28
The categories of this paper are: alg-geom
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph