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Area of image inpainting over relatively large missing regions recently advanced substantially through adaptation of dedicated deep neural networks.
Image inpainting
M. Bertalmio, G. Sapiro, V. Caselles, and C. Ballester · 2000
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Region filling and object removal by exemplar-based image inpainting
A. Criminisi, P. Perez, and K. Toyama · 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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Patchmatch: A randomized correspondence algorithm for structural image editing
C. Barnes, E. Shechtman, A. Finkelstein, and D. B. Goldman · 2009
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Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P.-A. Manzagol · 2010
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What makes paris look like paris?
C. Doersch, S. Singh, A. Gupta, J. Sivic, and A. A. Efros · 2012
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Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2013
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Exemplar-based image inpainting using multiscale graph cuts
Y. Liu and V. Caselles · 2013
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Learning a deep convolutional network for image super-resolution
C. Dong, C. C. Loy, K. He, and X. Tang · 2014
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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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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
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Image geo-localization based on multiple nearest neighbor feature matching using generalized graphs
A. Zamir and M. Shah · 2014
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Deep generative image models using a laplacian pyramid of adversarial networks
E. Denton, S. Chintala, A. Szlam, and R. Fergus · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P.Fischer, and T. Brox · 2015
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Multi-scale context aggregation by dilated convolutions
F. Yu and V. Koltun · 2015
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Deep residual learning for compressed sensing ct reconstruction via persistent homology analysis
Y. Han, J. J. Yoo, and J. C. Ye · 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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Inception-v4, inception-resnet and the impact of residual connections on learning
C. Szegedy, S. Ioffe, and V. Vanhoucke · 2016
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Instance normalization: The missing ingredient for fast stylization
D. Ulyanov, A. Vedaldi, and V. S. Lempitsky · 2016
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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 · 2016
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Wide residual networks
S. Zagoruyko and N. Komodakis · 2016
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Beyond a gaussian denoiser: Residual learning of deep CNN for image denoising
K. Zhang, W. Zuo, Y. Chen, D. Meng, and L. Zhang · 2016
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Perceptual Losses for Real-Time Style Transfer and Super-Resolution
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J. Kim, J. K. Lee, and K. M. Lee · 2016
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Globally and Locally Consistent Image Completion
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Generative face completion
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Plug & play generative networks: Conditional iterative generation of images in latent space
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Deep video deblurring for hand-held cameras
S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, and O. Wang · 2017
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Aggregated residual transformations for deep neural networks
S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He · 2017
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Semantic image inpainting with deep generative models
R. A. Yeh · 2017
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Places: A 10 million image database for scene recognition
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