Fetching the paper…
Reading the bibliography…
Deep convolutional networks (CNNs) have exhibited their potential in image inpainting for producing plausible results.
Texture synthesis by non-parametric sampling
Efros, A.A., Leung, T.K.: · 1999
Earlier work this paper cites.
Object removal by exemplar-based inpainting
Criminisi, A., Perez, P., Toyama, K.: · 2003
Earlier work this paper cites.
Fragment-based image completion
Drori, I., Cohen-Or, D., Yeshurun, H.: · 2003
Earlier work this paper cites.
Image repairing: Robust image synthesis by adaptive nd tensor voting
Jia, J., Tang, C.K.: · 2003
Earlier work this paper cites.
Inference of segmented color and texture description by tensor voting
Jia, J., Tang, C.K.: · 2004
Earlier work this paper cites.
Space-time video completion
Wexler, Y., Shechtman, E., Irani, M.: · 2004
Earlier work this paper cites.
Image completion with structure propagation
Sun, J., Yuan, L., Jia, J., Shum, H.Y.: · 2005
Earlier work this paper cites.
Image completion using global optimization
Komodakis, N.: · 2006
Earlier work this paper cites.
Image completion using efficient belief propagation via priority scheduling and dynamic pruning
Komodakis, N., Tziritas, G.: · 2007
Earlier work this paper cites.
Space-time completion of video
Wexler, Y., Shechtman, E., Irani, M.: · 2007
Earlier work this paper cites.
Summarizing visual data using bidirectional similarity
Simakov, D., Caspi, Y., Shechtman, E., Irani, M.: · 2008
Earlier work this paper cites.
Patchmatch: a randomized correspondence algorithm for structural image editing
Barnes, C., Shechtman, E., Finkelstein, A., Goldman, D.B.: · 2009
Earlier work this paper cites.
Shift-map image editing
Pritch, Y., Kav-Venaki, E., Peleg, S.: · 2009
Earlier work this paper cites.
Image inpainting by patch propagation using patch sparsity
Xu, Z., Sun, J.: · 2010
Earlier work this paper cites.
The generalized patchmatch correspondence algorithm
Barnes, C., Shechtman, E., Goldman, D.B., Finkelstein, A.: · 2010
Earlier work this paper cites.
Examplar-based inpainting based on local geometry
Le Meur, O., Gautier, J., Guillemot, C.: · 2011
Cited alongside, same era.
What makes paris look like paris?
Doersch, C., Singh, S., Gupta, A., Sivic, J., Efros, A.: · 2012
Cited alongside, same era.
Image denoising and inpainting with deep neural networks
Xie, J., Xu, L., Chen, E.: · 2012
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
Simonyan, K., Zisserman, A.: · 2014
Cited alongside, same era.
Mask-specific inpainting with deep neural networks
Köhler, R., Schuler, C., Schölkopf, B., Harmeling, S.: · 2014
Cited alongside, same era.
Shepard convolutional neural networks
Ren, J.S., Xu, L., Yan, Q., Sun, W.: · 2015
Cited alongside, same era.
Perceptual losses for real-time style transfer and super-resolution
Johnson, J., Alahi, A., Fei-Fei, L.: · 2016
Later among the works it cites.
Combining markov random fields and convolutional neural networks for image synthesis
Li, C., Wand, M.: · 2016
Later among the works it cites.
Texture networks: Feed-forward synthesis of textures and stylized images
Ulyanov, D., Lebedev, V., Vedaldi, A., Lempitsky, V.S.: · 2016
Later among the works it cites.
Image-to-image translation with conditional adversarial networks
Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: · 2016
Later among the works it cites.
Photo-realistic single image super-resolution using a generative adversarial network
Ledig, C., Theis, L., Huszár, F., Caballero, J., Cunningham, A., Acosta, A., Aitken, A., Tejani, A., Totz, J., Wang, Z., et al.: · 2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A neural algorithm of artistic style
Gatys, L.A., Ecker, A.S., Bethge, M.: · 2015
Cited alongside, same era.
U-net: Convolutional networks for biomedical image segmentation
Ronneberger, O., Fischer, P., Brox, T.: · 2015
Cited alongside, same era.
Understanding deep image representations by inverting them
Mahendran, A., Vedaldi, A.: · 2015
Cited alongside, same era.
Unsupervised representation learning with deep convolutional generative adversarial networks
Radford, A., Metz, L., Chintala, S.: · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
Kingma, D.P., Ba, J.L.: · 2015
Cited alongside, same era.
Context encoders: Feature learning by inpainting
Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., Efros, A.A.: · 2016
Cited alongside, same era.
Instance normalization: The missing ingredient for fast stylization
Ulyanov, D., Vedaldi, A., Lempitsky, V.: · 2016
Later among the works it cites.
High-resolution image inpainting using multi-scale neural patch synthesis
Yang, C., Lu, X., Lin, Z., Shechtman, E., Wang, O., Li, H.: · 2017
Later among the works it cites.
Places: A 10 million image database for scene recognition
Zhou, B., Lapedriza, A., Khosla, A., Oliva, A., Torralba, A.: · 2017
Later among the works it cites.
Semantic image inpainting with deep generative models
Yeh, R.A., Chen, C., Lim, T.Y., Schwing, A.G., Hasegawa-Johnson, M., Do, M.N.: · 2017
Later among the works it cites.
Globally and Locally Consistent Image Completion
Iizuka, S., Simo-Serra, E., Ishikawa, H.: · 2017
Later among the works it cites.
Li, Y., Liu, S., Yang, J., Yang, M.H.: · 2017
Later among the works it cites.
Arbitrary style transfer in real-time with adaptive instance normalization
Huang, X., Belongie, S.: · 2017
Later among the works it cites.
Luan, F., Paris, S., Shechtman, E., Bala, K.: · 2017
Later among the works it cites.
Unpaired image-to-image translation using cycle-consistent adversarial networks
Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: · 2017
Later among the works it cites.