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Recent advances in deep generative models have shown promising potential in image inpanting, which refers to the task of predicting missing pixel values of an incomplete image using the known context.
Image inpainting
M. Bertalmio, G. Sapiro, V. Caselles, and C. Ballester · 2000
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Color transfer between images
E. Reinhard, M. Adhikhmin, B. Gooch, and P. Shirley · 2001
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Simultaneous structure and texture image inpainting
M. Bertalmio, L. Vese, G. Sapiro, and S. Osher · 2003
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Space-time video completion
Y. Wexler, E. Shechtman, and M. Irani · 2004
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Hole filling through photomontage
M. Wilczkowiak, G. J. Brostow, B. Tordoff, and R. Cipolla · 2005
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Image completion using global optimization
N. Komodakis · 2006
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Scene completion using millions of photographs
J. Hays and A. A. Efros · 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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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Texture synthesis using convolutional neural networks
L. Gatys, A. S. Ecker, and M. Bethge · 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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Deep learning face attributes in the wild
X. W. Ziwei Liu, Ping Luo and X. Tang · 2015
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Generating images with perceptual similarity metrics based on deep networks
A. Dosovitskiy and T. Brox · 2016
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Generative multi-adversarial networks
I. Durugkar, I. Gemp, and S. Mahadevan · 2016
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Image style transfer using convolutional neural networks
L. A. Gatys, A. S. Ecker, and M. Bethge · 2016
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Deep residual learning for image recognition
Places: An image database for deep scene understanding
B. Zhou, A. Khosla, A. Lapedriza, A. Torralba, and A. Oliva · 2016
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Photographic image synthesis with cascaded refinement networks
Q. Chen and V. Koltun · 2017
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Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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Globally and locally consistent image completion
S. Iizuka, E. Simo-Serra, and H. Ishikawa · 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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Generative face completion
Y. Li, S. Liu, J. Yang, and M.-H. Yang · 2017
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K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 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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Deconvolution and checkerboard artifacts
A. Odena, V. Dumoulin, and C. Olah · 2016
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Context encoders: Feature learning by inpainting
D. Pathak, P. Krahenbuhl, J. Donahue, T. Darrell, and A. A. Efros · 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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Deep image harmonization
Y.-H. Tsai, X. Shen, Z. Lin, K. Sunkavalli, X. Lu, and M.-H. Yang · 2017
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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 · 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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The unreasonable effectiveness of deep features as a perceptual metric
R. Zhang, P. Isola, A. A. Efros, E. Shechtman, and O. Wang · 2018
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