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Convolutional neural networks have enabled accurate image super-resolution in real-time.
Two-frame motion estimation based on polynomial expansion
G. Farneback · 2003
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Eigenface-domain super-resolution for face recognition
B. K. Gunturk, A. U. Batur, Y. Altunbasak, M. H. Hayes, and R. M. Mersereau · 2003
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Super-resolution image reconstruction: A technical overview
S. C. Park, M. K. Park, and M. G. Kang · 2003
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High accuracy optical flow estimation based on a theory for warping
T. Brox, N. Papenberg, and J. Weickert · 2004
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Image quality assessment: form error visibility to structural similarity
W. Zhou, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli · 2004
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Kernel regression for image processing and reconstruction
H. Takeda, S. Farsiu, and P. Milanfar · 2007
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Super-resolution from a single image
D. Glasner, S. Bagon, and M. Irani · 2009
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Super-resolution without explicit subpixel motion estimation
H. Takeda, P. Milanfar, M. Protter, and M. Elad · 2009
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Motion tuned spatio-temporal quality assessment of natural videos motion tuned spatio-temporal quality assessment of natural videos
K. Seshadrinathan, S. Member, and A. C. Bovik · 2010
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Image super-resolution via sparse representation
J. Yang, J. Wright, T. S. Huang, and Y. Ma · 2010
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Discrete wavelet transform-based satellite image resolution enhancement
H. Demirel and G. Anbarjafari · 2011
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Space-time super-resolution from a single video
O. Shahar, A. Faktor, and M. Irani · 2011
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Coupled dictionary training for image super-resolution
J. Yang, S. Member, and Z. Wang · 2012
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Cardiac image super-resolution with global correspondence using multi-atlas PatchMatch
W. Shi, J. Caballero, C. Ledig, X. Zhuang, W. Bai, K. Bhatia, A. M. S. M. De Marvao, T. Dawes, D. O’Regan, and D. Rueckert · 2013
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Large-scale video classification with convolutional neural networks
A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar, and L. Fei-Fei · 2014
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Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
A. M. Saxe, J. L. McClelland, and S. Ganguli · 2014
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Dictionary-based multiple frame video super-resolution
Q. Dai, S. Yoo, A. Kappeler, and A. K. Katsaggelos · 2015
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Image super-resolution using deep convolutional networks
C. Dong, C. C. Loy, K. He, and X. Tang · 2015
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FlowNet: Learning optical flow with convolutional networks
A. Dosovitskiy, P. Fischery, E. Ilg, C. Hazirbas, V. Golkov, P. van der Smagt, D. Cremers, and T. Brox · 2015
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Bidirectional recurrent convolutional networks for multi-frame super-resolution
Generating images with perceptual similarity metrics based on deep networks
A. Dosovitskiy and T. Brox · 2016
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DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
Y. Ganin, D. Kononenko, D. Sungatullina, and V. Lempitsky · 2016
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gvnn: Neural Network Library for Geometric Computer Vision
A. Handa, M. Bloesch, V. Patraucean, S. Stent, J. McCormac, and A. Davison · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Identity mappings in deep residual networks
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Consumer Digital Video Library, accessed on 08/2016 at http://www.cdvl.org/
ITS · 2016
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Y. Huang, W. Wang, and L. Wang · 2015
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Spatial transformer networks
M. Jaderberg, K. Simonyan, A. Zisserman, and K. Kavukcuoglu · 2015
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Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2015
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A bayesian approach to adaptive video super resolution
C. Liu, N. England, and D. Sun · 2015
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Learning spatiotemporal features with 3D convolutional networks
D. Tran, L. Bourdev, R. Fergus, L. Torresani, and M. Paluri · 2015
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Unsupervised convolutional neural networks for motion estimation
A. Ahmadi and I. Patras · 2016
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Super-resolution with deep convolutional sufficient statistics
J. Bruna, P. Sprechmann, and Y. LeCun · 2016
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Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and L. Fei-Fei · 2016
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Learning-based view synthesis for light field cameras
N. Kalantari, T. Wang, and R. Ramamoorthi · 2016
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Video super-resolution with convolutional neural networks
A. Kappeler, S. Yoo, Q. Dai, and A. K. Katsaggelos · 2016
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Deeply-recursive convolutional network for image super-resolution
J. Kim, J. K. Lee, and K. M. Lee · 2016
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Photo-realistic single image super-resolution using a generative adversarial network
C. Ledig, L. Theis, F. Huszar, J. Caballero, A. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi · 2016
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Spatio-temporal video autoencoder with differentiable memory
V. Patraucean, A. Handa, and R. Cipolla · 2016
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Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
W. Shi, J. Caballero, H. Ferenc, T. Johannes, A. P. Aitken, R. Bishop, R. Daniel, and Z. Wang · 2016
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