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        TITLE = "VSpSR: Explorable Super-Resolution via Variational Sparse
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        BOOKTITLE = NTIRE21,
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@inproceedings{bb176701,
        AUTHOR = "Chen, W.M. and Ma, Y.Q. and Liu, X.L. and Yuan, Y.",
        TITLE = "Hierarchical Generative Adversarial Networks for Single Image
Super-Resolution",
        BOOKTITLE = WACV21,
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@inproceedings{bb176702,
        AUTHOR = "Luo, Z.X. and Huang, Y. and Li, S. and Wang, L. and Tan, T.N.",
        TITLE = "Efficient Super Resolution by Recursive Aggregation",
        BOOKTITLE = ICPR21,
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@inproceedings{bb176703,
        AUTHOR = "Hou, Z.J. and Kung, S.Y.",
        TITLE = "Hierarchically Aggregated Residual Transformation for Single Image
Super Resolution",
        BOOKTITLE = ICPR21,
        YEAR = "2021",
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@inproceedings{bb176704,
        AUTHOR = "Gu, J.H. and Qu, Z.W. and Wang, X.R. and Dan, J.W. and Sun, J.W.",
        TITLE = "Residual Fractal Network for Single Image Super Resolution by
Widening and Deepening",
        BOOKTITLE = ICPR21,
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@inproceedings{bb176705,
        AUTHOR = "Wei, S. and Sun, X. and Zhao, H.R. and Dong, J.Y.",
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Super-Resolution",
        BOOKTITLE = ICPR21,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i772nns1.html#TT172120"}

@inproceedings{bb176706,
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@inproceedings{bb176707,
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        TITLE = "Accurate and Efficient Single Image Super-resolution with Matrix
Channel Attention Network",
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@inproceedings{bb176708,
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        TITLE = "Lightweight Single-image Super-resolution Network with Attentive
Auxiliary Feature Learning",
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@inproceedings{bb176709,
        AUTHOR = "Ai, W. and Tu, X. and Cheng, S. and Xie, M.",
        TITLE = "Single Image Super-Resolution Via Residual Neuron Attention Networks",
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@inproceedings{bb176710,
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        BOOKTITLE = ICIP20,
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@inproceedings{bb176711,
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@inproceedings{bb176712,
        AUTHOR = "Deng, X. and Yang, R. and Xu, M. and Dragotti, P.L.",
        TITLE = "Wavelet Domain Style Transfer for an Effective Perception-Distortion
Tradeoff in Single Image Super-Resolution",
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@inproceedings{bb176713,
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        TITLE = "ODE-Inspired Network Design for Single Image Super-Resolution",
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@inproceedings{bb176714,
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Single Image Deblurring with Incremental Temporal Training",
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@inproceedings{bb176715,
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        TITLE = "Closed-Loop Matters: Dual Regression Networks for Single Image
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@article{bb176716,
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@inproceedings{bb176718,
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@inproceedings{bb176720,
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@inproceedings{bb176721,
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@inproceedings{bb176722,
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@inproceedings{bb176731,
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@inproceedings{bb176733,
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@inproceedings{bb176735,
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@inproceedings{bb176744,
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@inproceedings{bb176745,
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@inproceedings{bb176752,
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@inproceedings{bb176753,
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@inproceedings{bb176754,
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@inproceedings{bb176755,
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@inproceedings{bb176756,
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@inproceedings{bb176757,
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