Fast and Accurate Image Super-Resolution Using a Combined Loss
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Yu Zhao | Yuan Dong | Hongliang Bai | Jinchang Xu | Jinchang Xu | Yuan Dong | Hongliang Bai | Yu Zhao
[1] Liangpei Zhang,et al. A super-resolution reconstruction algorithm for surveillance images , 2010, Signal Process..
[2] Yunjin Chen,et al. Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[4] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[5] Jian Shao,et al. A Super-resolution Reconstruction Algorithm for Surveillance Video , 2017 .
[6] 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).
[7] Thomas S. Huang,et al. Image Super-Resolution Via Sparse Representation , 2010, IEEE Transactions on Image Processing.
[8] C. Duchon. Lanczos Filtering in One and Two Dimensions , 1979 .
[9] Xiaogang Wang,et al. DeepID-Net: Deformable deep convolutional neural networks for object detection , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Xi Chen,et al. PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications , 2017, ICLR.
[11] Raanan Fattal,et al. Image and video upscaling from local self-examples , 2011, TOGS.
[12] Yücel Altunbasak,et al. Eigenface-domain super-resolution for face recognition , 2003, IEEE Trans. Image Process..
[13] Lei Zhang,et al. Convolutional Sparse Coding for Image Super-Resolution , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[14] Harry Shum,et al. Gradient Profile Prior and Its Applications in Image Super-Resolution and Enhancement , 2011, IEEE Transactions on Image Processing.
[15] Daniel Rueckert,et al. Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch , 2013, MICCAI.
[16] Michael Elad,et al. On Single Image Scale-Up Using Sparse-Representations , 2010, Curves and Surfaces.
[17] Kyoung Mu Lee,et al. Deeply-Recursive Convolutional Network for Image Super-Resolution , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] 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).
[19] Chih-Yuan Yang,et al. Single-Image Super-Resolution: A Benchmark , 2014, ECCV.
[20] Luc Van Gool,et al. Seven Ways to Improve Example-Based Single Image Super Resolution , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Thomas S. Huang,et al. Image super-resolution as sparse representation of raw image patches , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[22] Koray Kavukcuoglu,et al. Pixel Recurrent Neural Networks , 2016, ICML.
[23] 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.
[24] 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).
[25] Thomas S. Huang,et al. Coupled Dictionary Training for Image Super-Resolution , 2012, IEEE Transactions on Image Processing.
[26] 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).
[27] Xiaoou Tang,et al. Image Super-Resolution Using Deep Convolutional Networks , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Xiaogang Wang,et al. DeepID3: Face Recognition with Very Deep Neural Networks , 2015, ArXiv.
[29] Xiaoou Tang,et al. Learning a Deep Convolutional Network for Image Super-Resolution , 2014, ECCV.
[30] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Aline Roumy,et al. Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding , 2012, BMVC.
[32] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Xiaogang Wang,et al. Deep Learning Face Representation by Joint Identification-Verification , 2014, NIPS.
[34] Luc Van Gool,et al. Anchored Neighborhood Regression for Fast Example-Based Super-Resolution , 2013, 2013 IEEE International Conference on Computer Vision.
[35] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[36] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[37] Luc Van Gool,et al. A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution , 2014, ACCV.