Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network
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Thekke Madam Nimisha | Subeesh Vasu | Rajagopalan Ambasamudram Narayanan | Subeesh Vasu | R. Narayanan | T. Nimisha
[1] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[2] Luc Van Gool,et al. A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution , 2014, ACCV.
[3] Alan C. Bovik,et al. Making a “Completely Blind” Image Quality Analyzer , 2013, IEEE Signal Processing Letters.
[4] Xiaoou Tang,et al. Learning a Deep Convolutional Network for Image Super-Resolution , 2014, ECCV.
[5] Xuelong Li,et al. Image Super-Resolution With Sparse Neighbor Embedding , 2012, IEEE Transactions on Image Processing.
[6] Kyoung Mu Lee,et al. Deeply-Recursive Convolutional Network for Image Super-Resolution , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Kyoung Mu Lee,et al. Accurate Image Super-Resolution Using Very Deep Convolutional Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Xuelong Li,et al. Multi-scale dictionary for single image super-resolution , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Gregory Shakhnarovich,et al. Deep Back-Projection Networks for Super-Resolution , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[10] Michal Irani,et al. Super-resolution from a single image , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[11] William T. Freeman,et al. Learning low-level vision , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[12] Xiaoyan Sun,et al. Landmark Image Super-Resolution by Retrieving Web Images , 2013, IEEE Transactions on Image Processing.
[13] Thomas B. Moeslund,et al. Super-resolution: a comprehensive survey , 2014, Machine Vision and Applications.
[14] Lihi Zelnik-Manor,et al. The Contextual Loss for Image Transformation with Non-Aligned Data , 2018, ECCV.
[15] Lei Zhang,et al. An edge-guided image interpolation algorithm via directional filtering and data fusion , 2006, IEEE Transactions on Image Processing.
[16] Luc Van Gool,et al. Anchored Neighborhood Regression for Fast Example-Based Super-Resolution , 2013, 2013 IEEE International Conference on Computer Vision.
[17] Michael Elad,et al. On Single Image Scale-Up Using Sparse-Representations , 2010, Curves and Surfaces.
[18] Bernhard Schölkopf,et al. EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[19] Ping Wah Wong,et al. Edge-directed interpolation , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[20] Lihi Zelnik-Manor,et al. Learning to Maintain Natural Image Statistics , 2018, ArXiv.
[21] Xiaoou Tang,et al. Image Super-Resolution Using Deep Convolutional Networks , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Robert L. Stevenson,et al. Super-resolution from image sequences-a review , 1998, 1998 Midwest Symposium on Circuits and Systems (Cat. No. 98CB36268).
[23] D. Yeung,et al. Super-resolution through neighbor embedding , 2004, CVPR 2004.
[24] Lihi Zelnik-Manor,et al. Maintaining Natural Image Statistics with the Contextual Loss , 2018, ACCV.
[25] Aline Roumy,et al. Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding , 2012, BMVC.
[26] Christian Ledig,et al. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Chih-Yuan Yang,et al. Single-Image Super-Resolution: A Benchmark , 2014, ECCV.
[28] Kwang In Kim,et al. Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Yochai Blau,et al. The Perception-Distortion Tradeoff , 2017, CVPR.
[30] Daniel Rueckert,et al. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Narendra Ahuja,et al. Single image super-resolution from transformed self-exemplars , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[33] Radu Timofte,et al. 2018 PIRM Challenge on Perceptual Image Super-resolution , 2018, ArXiv.
[34] Michael Elad,et al. Fast and robust multiframe super resolution , 2004, IEEE Transactions on Image Processing.
[35] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[36] William T. Freeman,et al. Example-Based Super-Resolution , 2002, IEEE Computer Graphics and Applications.
[37] Valero Laparra,et al. Perceptual image quality assessment using a normalized Laplacian pyramid , 2016, HVEI.
[38] Xiaoou Tang,et al. Accelerating the Super-Resolution Convolutional Neural Network , 2016, ECCV.
[39] Joan Bruna,et al. Super-Resolution with Deep Convolutional Sufficient Statistics , 2015, ICLR.
[40] Lei Zhang,et al. Convolutional Sparse Coding for Image Super-Resolution , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[41] Eirikur Agustsson,et al. NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[42] Stephen Lin,et al. Super resolution using edge prior and single image detail synthesis , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[43] Moon Gi Kang,et al. Super-resolution image reconstruction: a technical overview , 2003, IEEE Signal Process. Mag..
[44] Chih-Yuan Yang,et al. Learning a No-Reference Quality Metric for Single-Image Super-Resolution , 2016, Comput. Vis. Image Underst..
[45] Jitendra Malik,et al. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[46] Luc Van Gool,et al. Jointly Optimized Regressors for Image Super‐resolution , 2015, Comput. Graph. Forum.
[47] Xin Deng. Enhancing Image Quality via Style Transfer for Single Image Super-Resolution , 2018, IEEE Signal Processing Letters.
[48] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[49] Kyoung Mu Lee,et al. Enhanced Deep Residual Networks for Single Image Super-Resolution , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[50] Luc Van Gool,et al. NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).