Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Blind Image Super Resolution with Semantic-Aware Quantized Texture Prior   A key challenge of blind image super resolution is to recover realistic
textures for low-resolution images with unknown degradations. Most recent works
completely rely on the generative ability of GANs, which are difficult to
train. Other methods resort to high-resolution image references that are
usually not available. In this work, we propose a novel framework, denoted as
QuanTexSR, to restore realistic textures with the Quantized Texture Priors
encoded in Vector Quantized GAN. The QuanTexSR generates textures by aligning
the textureless content features to the quantized feature vectors, i.e., a
pretrained feature codebook. Specifically, QuanTexSR formulates the texture
generation as a feature matching problem between textureless features and a
pretrained feature codebook. The final textures are then generated by the
quantized features from the codebook. Since features in the codebook have shown
the ability to generate natural textures in the pretrain stage, QuanTexSR can
generate rich and realistic textures with the pretrained codebook as texture
priors. Moreover, we propose a semantic regularization technique that
regularizes the pre-training of the codebook using clusters of features
extracted from the pretrained VGG19 network. This further improves texture
generation with semantic context. Experiments demonstrate that the proposed
QuanTexSR can generate competitive or better textures than previous approaches.
Code will be made publicly available.

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The categories of this paper are: comp-gas
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The categories of this paper are: patt-sol
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The categories of this paper are: plasm-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: hep-ph
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The categories of this paper are: q-alg
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The categories of this paper are: math-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: gr-qc
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The categories of this paper are: nlin
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The categories of this paper are: solv-int
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The categories of this paper are: stat
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The categories of this paper are: supr-con
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The categories of this paper are: physics
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The categories of this paper are: chao-dyn
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The categories of this paper are: q-fin