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We present a pixel recursive super resolution model that synthesizes realistic details into images while enhancing their resolution.
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Example-based super-resolution
W. T. Freeman, T. R. Jones, and E. C. Pasztor · 2002
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Cubic splines for image interpolation and digital filtering
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Svdd: An algorithm for designing overcomplete dictionaries for sparse representation
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Image super-resolution using gradient profile prior
J. Sun, Z. Xu, and H.-Y. Shum · 2008
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Single-image super-resolution using sparse regression and natural image prior
K. I. Kim and Y. Kwon · 2010
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The neural autoregressive distribution estimator
H. Larochelle and I. Murray · 2011
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From learning models of natural image patches to whole image restoration
D. Zoran and Y. Weiss · 2011
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From learning models of natural image patches to whole image restoration
D. Zoran and Y. Weiss · 2011
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Rnade: The real-valued neural autoregressive density-estimator
B. Uria, I. Murray, and H. Larochelle · 2013
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Structured face hallucination
C. Y. Yang, S. Liu, and M. H. Yang · 2013
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Generative adversarial nets, 2014
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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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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Conditional generative adversarial nets
M. Mirza and S. Osindero · 2014
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Super-resolution: A comprehensive survey
K. Nasrollahi and T. B. Moeslund · 2014
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Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop
F. Yu, Y. Zhang, S. Song, A. Seff, and J. Xiao · 2015
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Learning diverse image colorization
A. Deshpande, J. Lu, M. Yeh, and D. A. Forsyth · 2016
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srez: Adversarial super resolution
D. Garcia · 2016
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Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and F. Li · 2016
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Amortised MAP Inference for Image Super-resolution
C. Kaae Sønderby, J. Caballero, L. Theis, W. Shi, and F. Huszár · 2016
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mané, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viégas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, and X. Zheng · 2015
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Generating sentences from a continuous space
S. R. Bowman, L. Vilnis, O. Vinyals, A. M. Dai, R. Józefowicz, and S. Bengio · 2015
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Super-resolution with deep convolutional sufficient statistics
J. Bruna, P. Sprechmann, and Y. LeCun · 2015
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Deep generative image models using a laplacian pyramid of adversarial networks
E. L. Denton, S. Chintala, A. Szlam, and R. Fergus · 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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A neural algorithm of artistic style
L. A. Gatys, A. S. Ecker, and M. Bethge · 2015
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C. Ledig, L. Theis, F. Huszar, J. Caballero, A. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi · 2016
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Group mad competition - a new methodology to compare objective image quality models
K. Ma, Q. Wu, Z. Wang, Z. Duanmu, H. Yong, H. Li, and L. Zhang · 2016
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Unrolled generative adversarial networks
L. Metz, B. Poole, D. Pfau, and J. Sohl-Dickstein · 2016
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Deconvolution and checkerboard artifacts
A. Odena, V. Dumoulin, and C. Olah · 2016
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RAISR: rapid and accurate image super resolution
Y. Romano, J. Isidoro, and P. Milanfar · 2016
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A hierarchical latent variable encoder-decoder model for generating dialogues
I. V. Serban, A. Sordoni, R. Lowe, L. Charlin, J. Pineau, A. C. Courville, and Y. Bengio · 2016
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Ladder variational autoencoders
C. K. Sø nderby, T. Raiko, L. Maalø e, S. r. K. Sø nderby, and O. Winther · 2016
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Pixel recurrent neural networks
A. van den Oord, N. Kalchbrenner, and K. Kavukcuoglu · 2016
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Conditional image generation with pixelcnn decoders
A. van den Oord, N. Kalchbrenner, O. Vinyals, L. Espeholt, A. Graves, and K. Kavukcuoglu · 2016
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Ultra-Resolving Face Images by Discriminative Generative Networks
X. Yu and F. Porikli · 2016
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Colorful image colorization
R. Zhang, P. Isola, and A. A. Efros · 2016
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Pixelcnn++: A pixelcnn implementation with discretized logistic mixture likelihood and other modifications
T. Salimans, A. Karpathy, X. Chen, D. P. Kingma, and Y. Bulatov · 2017
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