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Convolutional neural networks have recently demonstrated high-quality reconstruction for single-image super-resolution.
The Laplacian pyramid as a compact image code
P. J. Burt and E. H. Adelson · 1983
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Pyramid-based texture analysis/synthesis
D. J. Heeger and J. R. Bergen · 1995
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Example-based super-resolution
W. T. Freeman, T. R. Jones, and E. C. Pasztor · 2002
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Super-resolution through neighbor embedding
H. Chang, D.-Y. Yeung, and Y. Xiong · 2004
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Image quality assessment: From error visibility to structural similarity
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli · 2004
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Lucas/Kanade meets Horn/Schunck: Combining local and global optic flow methods
A. Bruhn, J. Weickert, and C. Schnörr · 2005
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An information fidelity criterion for image quality assessment using natural scene statistics
H. R. Sheikh, A. C. Bovik, and G. De Veciana · 2005
Earlier work this paper cites.
Image super-resolution as sparse representation of raw image patches
J. Yang, J. Wright, T. Huang, and Y. Ma · 2008
Earlier work this paper cites.
Super-resolution from a single image
D. Glasner, S. Bagon, and M. Irani · 2009
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Single-image super-resolution using sparse regression and natural image prior
K. I. Kim and Y. Kwon · 2010
Earlier work this paper cites.
Image super-resolution via sparse representation
J. Yang, J. Wright, T. S. Huang, and Y. Ma · 2010
Earlier work this paper cites.
On single image scale-up using sparse-representations
R. Zeyde, M. Elad, and M. Protter · 2010
Earlier work this paper cites.
Contour detection and hierarchical image segmentation
P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik · 2011
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Image and video upscaling from local self-examples
G. Freedman and R. Fattal · 2011
Cited alongside, same era.
Local laplacian filters: Edge-aware image processing with a laplacian pyramid
S. Paris, S. W. Hasinoff, and J. Kautz · 2011
Cited alongside, same era.
Low-complexity single-image super-resolution based on nonnegative neighbor embedding
M. Bevilacqua, A. Roumy, C. Guillemot, and M. L. Alberi-Morel · 2012
Cited alongside, same era.
Fast direct super-resolution by simple functions
C.-Y. Yang and M.-H. Yang · 2013
Cited alongside, same era.
Super-resolution using sub-band self-similarity
A. Singh and N. Ahuja · 2014
Cited alongside, same era.
A+: Adjusted anchored neighborhood regression for fast super-resolution
R. Timofte, V. De Smet, and L. Van Gool · 2014
Cited alongside, same era.
Fast and accurate image upscaling with super-resolution forests
S. Schulter, C. Leistner, and H. Bischof · 2015
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MatConvNet: Convolutional neural networks for matlab
A. Vedaldi and K. Lenc · 2015
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Deep networks for image super-resolution with sparse prior
Z. Wang, D. Liu, J. Yang, W. Han, and T. Huang · 2015
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Holistically-nested edge detection
S. Xie and Z. Tu · 2015
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Accelerating the super-resolution convolutional neural network
C. Dong, C. C. Loy, and X. Tang · 2016
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Laplacian pyramid reconstruction and refinement for semantic segmentation
G. Ghiasi and C. C. Fowlkes · 2016
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Single-image super-resolution: a benchmark
C.-Y. Yang, C. Ma, and M.-H. Yang · 2014
Cited alongside, same era.
Deep generative image models using a laplacian pyramid of adversarial networks
E. L. Denton, S. Chintala, and R. Fergus · 2015
Cited alongside, same era.
Image super-resolution using deep convolutional networks
C. Dong, C. C. Loy, K. He, and X. Tang · 2015
Cited alongside, same era.
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun · 2015
Cited alongside, same era.
Single image super-resolution from transformed self-exemplars
J.-B. Huang, A. Singh, and N. Ahuja · 2015
Cited alongside, same era.
Deeply-supervised nets, 2015
C. Lee, S. Xie, P. Gallagher, Z. Zhang, and Z. Tu · 2015
Cited alongside, same era.
Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and L. Fei-Fei · 2016
Later among the works it cites.
Accurate image super-resolution using very deep convolutional networks
J. Kim, J. K. Lee, and K. M. Lee · 2016
Later among the works it cites.
Deeply-recursive convolutional network for image super-resolution
J. Kim, J. K. Lee, and K. M. Lee · 2016
Later among the works it cites.
Sketch-based manga retrieval using manga109 dataset
Y. Matsui, K. Ito, Y. Aramaki, T. Yamasaki, and K. Aizawa · 2016
Later among the works it cites.
Learning to refine object segments
P. O. Pinheiro, T.-Y. Lin, R. Collobert, and P. Dollár · 2016
Later among the works it cites.
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
W. Shi, J. Caballero, F. Huszar, J. Totz, A. Aitken, R. Bishop, D. Rueckert, and Z. Wang · 2016
Later among the works it cites.
Photo-realistic single image super-resolution using a generative adversarial network
C. Ledig, L. Theis, F. Huszar, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi · 2017
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