Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Attention-guided Network for Ghost-free High Dynamic Range Imaging   Ghosting artifacts caused by moving objects or misalignments is a key
challenge in high dynamic range (HDR) imaging for dynamic scenes. Previous
methods first register the input low dynamic range (LDR) images using optical
flow before merging them, which are error-prone and cause ghosts in results. A
very recent work tries to bypass optical flows via a deep network with
skip-connections, however, which still suffers from ghosting artifacts for
severe movement. To avoid the ghosting from the source, we propose a novel
attention-guided end-to-end deep neural network (AHDRNet) to produce
high-quality ghost-free HDR images. Unlike previous methods directly stacking
the LDR images or features for merging, we use attention modules to guide the
merging according to the reference image. The attention modules automatically
suppress undesired components caused by misalignments and saturation and
enhance desirable fine details in the non-reference images. In addition to the
attention model, we use dilated residual dense block (DRDB) to make full use of
the hierarchical features and increase the receptive field for hallucinating
the missing details. The proposed AHDRNet is a non-flow-based method, which can
also avoid the artifacts generated by optical-flow estimation error.
Experiments on different datasets show that the proposed AHDRNet can achieve
state-of-the-art quantitative and qualitative results.

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The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: funct-an
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The categories of this paper are: patt-sol
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The categories of this paper are: q-alg
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The categories of this paper are: nucl-ex
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The categories of this paper are: comp-gas
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The categories of this paper are: dg-ga
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The categories of this paper are: astro-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: atom-ph
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The categories of this paper are: q-fin
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The categories of this paper are: quant-ph
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The categories of this paper are: hep-lat