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Over the last few years, deep learning techniques have yielded significant improvements in image inpainting.
A computational approach to edge detection
J. Canny · 1986
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Image inpainting
M. Bertalmio, G. Sapiro, V. Caselles, and C. Ballester · 2000
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Filling-in by joint interpolation of vector fields and gray levels
C. Ballester, M. Bertalmio, V. Caselles, G. Sapiro, and J. Verdera · 2001
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Digital inpainting based on the mumford–shah–euler image model
S. Esedoglu and J. Shen · 2002
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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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Supervised learning of edges and object boundaries
P. Dollar, Z. Tu, and S. Belongie · 2006
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Image compression with edge-based inpainting
D. Liu, X. Sun, F. Wu, S. Li, and Y.-Q. Zhang · 2007
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Patchmatch: A randomized correspondence algorithm for structural image editing
C. Barnes, E. Shechtman, A. Finkelstein, and D. B. Goldman · 2009
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Structured learning and prediction in computer vision
S. Nowozin, C. H. Lampert, et al · 2011
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Image melding: Combining inconsistent images using patch-based synthesis
S. Darabi, E. Shechtman, C. Barnes, D. B. Goldman, and P. Sen · 2012
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What makes paris look like paris?
C. Doersch, S. Singh, A. Gupta, J. Sivic, and A. Efros · 2012
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Drawing on the Right Side of the Brain: The Definitive, 4th Edition
B. Edwards · 2012
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How do humans sketch objects?
M. Eitz, J. Hays, and M. Alexa · 2012
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Rectifier nonlinearities improve neural network acoustic models
A. L. Maas, A. Y. Hannun, and A. Y. Ng · 2013
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Image completion using planar structure guidance
J.-B. Huang, S. B. Kang, N. Ahuja, and J. Kopf · 2014
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Conditional generative adversarial nets
M. Mirza and S. Osindero · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Deepedge: A multi-scale bifurcated deep network for top-down contour detection
G. Bertasius, J. Shi, and L. Torresani · 2015
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Fast edge detection using structured forests
P. Dollár and C. L. Zitnick · 2015
Cited alongside, same era.
Texture synthesis using convolutional neural networks
L. Gatys, A. S. Ecker, and M. Bethge · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2015
Cited alongside, same era.
Deep learning face attributes in the wild
Z. Liu, P. Luo, X. Wang, and X. Tang · 2015
Cited alongside, same era.
Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al · 2015
Cited alongside, same era.
Holistically-nested edge detection
S. Xie and Z. Tu · 2015
Cited alongside, same era.
Enhancenet: Single image super-resolution through automated texture synthesis
M. S. M. Sajjadi, B. Scholkopf, and M. Hirsch · 2017
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Scribbler: Controlling deep image synthesis with sketch and color
P. Sangkloy, J. Lu, C. Fang, F. Yu, and J. Hays · 2017
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Improved texture networks: Maximizing quality and diversity in feed-forward stylization and texture synthesis
D. Ulyanov, A. Vedaldi, and V. Lempitsky · 2017
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High-resolution image inpainting using multi-scale neural patch synthesis
C. Yang, X. Lu, Z. Lin, E. Shechtman, O. Wang, and H. Li · 2017
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Semantic image inpainting with deep generative models
R. A. Yeh, C. Chen, T.-Y. Lim, A. G. Schwing, M. Hasegawa-Johnson, and M. N. Do · 2017
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Places: A 10 million image database for scene recognition
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L. A. Gatys, A. S. Ecker, and M. Bethge · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and L. Fei-Fei · 2016
Cited alongside, same era.
Unsupervised learning of edges
Y. Li, M. Paluri, J. M. Rehg, and P. Dollár · 2016
Cited alongside, same era.
Deconvolution and checkerboard artifacts
A. Odena, V. Dumoulin, and C. Olah · 2016
Cited alongside, same era.
Context encoders: Feature learning by inpainting
D. Pathak, P. Krahenbuhl, J. Donahue, T. Darrell, and A. A. Efros · 2016
Cited alongside, same era.
B. Zhou, A. Lapedriza, A. Khosla, A. Oliva, and A. Torralba · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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Eye in-painting with exemplar generative adversarial networks
B. Dolhansky and C. C. Ferrer · 2018
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The unreasonable effectiveness of texture transfer for single image super-resolution
M. W. Gondal, B. Schölkopf, and M. Hirsch · 2018
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Image inpainting for irregular holes using partial convolutions
G. Liu, F. A. Reda, K. J. Shih, T.-C. Wang, A. Tao, and B. Catanzaro · 2018
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Spectral normalization for generative adversarial networks
T. Miyato, T. Kataoka, M. Koyama, and Y. Yoshida · 2018
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Is generator conditioning causally related to gan performance?
A. Odena, J. Buckman, C. Olsson, T. B. Brown, C. Olah, C. Raffel, and I. Goodfellow · 2018
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Contextual-based image inpainting: Infer, match, and translate
Y. Song, C. Yang, Z. Lin, X. Liu, Q. Huang, H. Li, and C. Jay · 2018
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High-resolution image synthesis and semantic manipulation with conditional gans
T.-C. Wang, M.-Y. Liu, J.-Y. Zhu, A. Tao, J. Kautz, and B. Catanzaro · 2018
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Free-form image inpainting with gated convolution
J. Yu, Z. Lin, J. Yang, X. Shen, X. Lu, and T. S. Huang · 2018
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Generative image inpainting with contextual attention
J. Yu, Z. Lin, J. Yang, X. Shen, X. Lu, and T. S. Huang · 2018
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Self-attention generative adversarial networks
H. Zhang, I. Goodfellow, D. Metaxas, and A. Odena · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
R. Zhang, P. Isola, A. A. Efros, E. Shechtman, and O. Wang · 2018
Later among the works it cites.