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Recent deep learning based approaches have shown promising results for the challenging task of inpainting large missing regions in an image.
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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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A. A. Efros and W. T. Freeman · 2001
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A. Levin, A. Zomet, S. Peleg, and Y. Weiss · 2004
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J. Hays and A. A. Efros · 2007
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Summarizing visual data using bidirectional similarity
D. Simakov, Y. Caspi, E. Shechtman, and M. Irani · 2008
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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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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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M. Cimpoi, S. Maji, I. Kokkinos, S. Mohamed, and A. Vedaldi · 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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Image completion using planar structure guidance
J.-B. Huang, S. B. Kang, N. Ahuja, and J. Kopf · 2014
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Mask-specific inpainting with deep neural networks
R. Köhler, C. Schuler, B. Schölkopf, and S. Harmeling · 2014
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Video inpainting of complex scenes
A. Newson, A. Almansa, M. Fradet, Y. Gousseau, and P. Pérez · 2014
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Deep convolutional neural network for image deconvolution
L. Xu, J. S. Ren, C. Liu, and J. Jia · 2014
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Fast and accurate deep network learning by exponential linear units (elus)
D.-A. Clevert, T. Unterthiner, and S. Hochreiter · 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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Spatial transformer networks
M. Jaderberg, K. Simonyan, A. Zisserman, et al · 2015
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Deeply-supervised nets
C.-Y. Lee, S. Xie, P. Gallagher, Z. Zhang, and Z. Tu · 2015
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Deep learning face attributes in the wild
Z. Liu, P. Luo, X. Wang, and X. Tang · 2015
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Improved techniques for training gans
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 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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Semantic image inpainting with perceptual and contextual losses
R. Yeh, C. Chen, T. Y. Lim, M. Hasegawa-Johnson, and M. N. Do · 2016
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View synthesis by appearance flow
T. Zhou, S. Tulsiani, W. Sun, J. Malik, and A. A. Efros · 2016
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M. Arjovsky, S. Chintala, and L. Bottou · 2017
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Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
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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
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Multi-scale context aggregation by dilated convolutions
F. Yu and V. Koltun · 2015
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Fast patch-based style transfer of arbitrary style
T. Q. Chen and M. Schmidt · 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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Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and L. Fei-Fei · 2016
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J. Dai, H. Qi, Y. Xiong, Y. Li, G. Zhang, H. Hu, and Y. Wei · 2017
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Improved training of wasserstein gans
I. Gulrajani, F. Ahmed, M. Arjovsky, V. Dumoulin, and A. Courville · 2017
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Globally and locally consistent image completion
S. Iizuka, E. Simo-Serra, and H. Ishikawa · 2017
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Active convolution: Learning the shape of convolution for image classification
Y. Jeon and J. Kim · 2017
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Progressive growing of gans for improved quality, stability, and variation
T. Karras, T. Aila, S. Laine, and J. Lehtinen · 2017
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Y. Li, S. Liu, J. Yang, and M.-H. Yang · 2017
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Transformation-grounded image generation network for novel 3d view synthesis
E. Park, J. Yang, E. Yumer, D. Ceylan, and A. C. Berg · 2017
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High-resolution multi-scale neural texture synthesis
X. Snelgrove · 2017
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Places: A 10 million image database for scene recognition
B. Zhou, A. Lapedriza, A. Khosla, A. Oliva, and A. Torralba · 2017
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