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High-level manipulation of facial expressions in images --- such as changing a smile to a neutral expression --- is challenging because facial expression changes are highly non-linear, and vary depending on the appearance of the face.
Feature-based image metamorphosis
T. Beier and S. Neely · 1992
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Recent advances in image morphing
G. Wolberg · 1996
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Color transfer between images
P. Shirley · 2001
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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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Beyond pixels: exploring new representations and applications for motion analysis
C. Liu · 2009
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Visio-lization: Generating novel facial images
U. Mohammed, S. J. D. Prince, and J. Kautz · 2009
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Multi-pie
R. Gross, I. Matthews, J. Cohn, T. Kanade, and S. Baker · 2010
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Expression flow for 3D-aware face component transfer
F. Yang, J. Wang, E. Shechtman, L. Bourdev, and D. Metaxas · 2011
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Facial expression editing in video using a temporally-smooth factorization
F. Yang, L. Bourdev, E. Shechtman, J. Wang, and D. Metaxas · 2012
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Face morphing using 3D-aware appearance optimization
F. Yang, E. Shechtman, J. Wang, L. Bourdev, and D. Metaxas · 2012
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Auto-encoding variational Bayes
D. P. Kingma and M. Welling · 2013
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Distributed representations of words and phrases and their compositionality
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean · 2013
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Linguistic regularities in continuous space word representations
T. Mikolov, W.-t. Yih, and G. Zweig · 2013
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One millisecond face alignment with an ensemble of regression trees
V. Kazemi and J. Sullivan · 2014
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mané, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viégas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, and X. Zheng · 2015
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Semantic image segmentation with deep convolutional nets and fully connected CRFs
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2015
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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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Deep visual analogy-making
S. E. Reed, Y. Zhang, Y. Zhang, and H. Lee · 2015
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EpicFlow: Edge-preserving interpolation of correspondences for optical flow
J. Revaud, P. Weinzaepfel, Z. Harchaoui, and C. Schmid · 2015
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Fully connected deep structured networks
A. G. Schwing and R. Urtasun · 2015
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Conditional random fields as recurrent neural networks
S. Zheng, S. Jayasumana, B. Romera-Paredes, V. Vineet, Z. Su, D. Du, C. Huang, and P. H. Torr · 2015
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Deep generative image models using a Laplacian pyramid of adversarial networks
E. L. Denton, S. Chintala, A. Szlam, and R. Fergus · 2015
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Towards automatic image editing: Learning to see another you
A. Ghodrati, X. Jia, M. Pedersoli, and T. Tuytelaars · 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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Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2015
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Semantic image segmentation via deep parsing network
Z. Liu, X. Li, P. Luo, C. C. Loy, and X. Tang · 2015
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DeepWarp: Photorealistic image resynthesis for gaze manipulation
Y. Ganin, D. Kononenko, D. Sungatullina, and V. S. Lempitsky · 2016
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Autoencoding beyond pixels using a learned similarity metric
A. B. L. Larsen, S. K. Sønderby, and O. Winther · 2016
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Context encoders: Feature learning by inpainting
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Attribute2Image: Conditional image generation from visual attributes
X. Yan, J. Yang, K. Sohn, and H. Lee · 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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