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Semantic inpainting is the task of inferring missing pixels in an image given surrounding pixels and high level image semantics.
Kim, H., Mnih, A., Schwarz, J., Garnelo, M., Eslami, A., Rosenbaum, D., Vinyals, O., and Teh, Y. W. (2019) · 1901
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Image inpainting
Bertalmio, M., Sapiro, G., Caselles, V., and Ballester, C. (2000) · 2000
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Filling-in by joint interpolation of vector fields and gray levels
Ballester, C., Bertalmio, M., Caselles, V., Sapiro, G., and Verdera, J. (2001) · 2001
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Image quilting for texture synthesis and transfer
Efros, A. A. and Freeman, W. T. (2001) · 2001
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Mathematical models for local nontexture inpaintings
Shen, J. and Chan, T. F. (2002) · 2002
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An image inpainting technique based on the fast marching method
Telea, A. (2004) · 2004
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Texture optimization for example-based synthesis
Kwatra, V., Essa, I., Bobick, A., and Kwatra, N. (2005) · 2005
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Patchmatch: A randomized correspondence algorithm for structural image editing
Barnes, C., Shechtman, E., Finkelstein, A., and Goldman, D. B. (2009) · 2009
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An augmented lagrangian approach to the constrained optimization formulation of imaging inverse problems
Afonso, M. V., Bioucas-Dias, J. M., and Figueiredo, M. A. (2011) · 2011
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Generative adversarial nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y. (2014) · 2014
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Deep learning face attributes in the wild
Liu, Z., Luo, P., Wang, X., and Tang, X. (2015) · 2015
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., and Sun, J. (2016) · 2016
Cited alongside, same era.
Pixelcnn models with auxiliary variables for natural image modeling
Kolesnikov, A. and Lampert, C. H. (2016) · 2016
Cited alongside, same era.
Pixel recurrent neural networks
Oord, A. v. d., Kalchbrenner, N., and Kavukcuoglu, K. (2016) · 2016
Cited alongside, same era.
Context encoders: Feature learning by inpainting
Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., and Efros, A. A. (2016) · 2016
Cited alongside, same era.
Conditional image generation with pixelcnn decoders
van den Oord, A., Kalchbrenner, N., Espeholt, L., Vinyals, O., Graves, A., et al. (2016) · 2016
Cited alongside, same era.
Context-aware semantic inpainting
Li, H., Li, G., Lin, L., and Yu, Y. (2017) · 2017
Later among the works it cites.
Fast generation for convolutional autoregressive models
Ramachandran, P., Paine, T. L., Khorrami, P., Babaeizadeh, M., Chang, S., Zhang, Y., Hasegawa-Johnson, M. A., Campbell, R. H., and Huang, T. S. (2017) · 2017
Later among the works it cites.
Parallel multiscale autoregressive density estimation
Reed, S., Oord, A. v. d., Kalchbrenner, N., Colmenarejo, S. G., Wang, Z., Belov, D., and de Freitas, N. (2017) · 2017
Later among the works it cites.
Image inpainting using multi-scale feature image translation
Song, Y., Yang, C., Lin, Z., Li, H., Huang, Q., and Kuo, C.-C. J. (2017) · 2017
Later among the works it cites.
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Yeh, R., Chen, C., Lim, T. Y., Hasegawa-Johnson, M., and Do, M. N. (2016) · 2016
Cited alongside, same era.
Colorful image colorization
Zhang, R., Isola, P., and Efros, A. A. (2016) · 2016
Cited alongside, same era.
Arjovsky, M., Chintala, S., and Bottou, L. (2017) · 2017
Cited alongside, same era.
The cramer distance as a solution to biased wasserstein gradients
Bellemare, M. G., Danihelka, I., Dabney, W., Mohamed, S., Lakshminarayanan, B., Hoyer, S., and Munos, R. (2017) · 2017
Cited alongside, same era.
Pixel recursive super resolution
Dahl, R., Norouzi, M., and Shlens, J. (2017) · 2017
Cited alongside, same era.
Globally and locally consistent image completion
Iizuka, S., Simo-Serra, E., and Ishikawa, H. (2017) · 2017
Cited alongside, same era.
Free-form image inpainting with gated convolution
Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X., and Huang, T. S. (2018a)
Cited in the paper.
Yang, C., Lu, X., Lin, Z., Shechtman, E., Wang, O., and Li, H. (2017) · 2017
Later among the works it cites.
Dupont, E., Zhang, T., Tilke, P., Liang, L., and Bailey, W. (2018) · 2018
Closest in time.
Garnelo, M., Schwarz, J., Rosenbaum, D., Viola, F., Rezende, D. J., Eslami, S., and Teh, Y. W. (2018) · 2018
Closest in time.
Image inpainting for irregular holes using partial convolutions
Liu, G., Reda, F. A., Shih, K. J., Wang, T.-C., Tao, A., and Catanzaro, B. (2018) · 2018
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Generating high fidelity images with subscale pixel networks and multidimensional upscaling
Menick, J. and Kalchbrenner, N. (2018) · 2018
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Controllable semantic image inpainting
Xu, J. and Teh, Y. W. (2018) · 2018
Closest in time.