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Caricature generation is an interesting yet challenging task.
Caricature generator: The dynamic exaggeration of faces by computer
S. E. Brennan · 1985
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Making caricatures with morphing
E. Akleman · 1997
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Expressive facial caricature drawing
S. Iwashita, Y. Takeda, and T. Onisawa · 1999
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On kansei facial image processing for computerized facial caricaturing system picasso
H. Koshimizu, M. Tominaga, T. Fujiwara, and K. Murakami · 1999
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Making extreme caricatures with a new interactive 2d deformation technique with simplicial complexes
E. Akleman, J. Palmer, and R. Logan · 2000
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Web-picasso: internet implementation of facial caricature system picasso
T. Fujiwara, M. Tominaga, K. Murakami, and H. Koshimizu · 2000
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Example-based facial sketch generation with non-parametric sampling
H. Chen, Y. Xu, H. Shum, S. C. Zhu, and N. Zheng · 2001
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Example-based caricature generation with exaggeration
L. Liang, H. Chen, Y.-Q. Xu, and H.-Y. Shum · 2002
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Human facial illustrations: Creation and psychophysical evaluation
B. Gooch, E. Reinhard, and A. Gooch · 2004
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Automatic caricature generation by analyzing facial features
P.-Y. C. W.-H. Liao and T.-Y. Li · 2004
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Improved automatic caricature by feature normalization and exaggeration
Z. Mo, J. P. Lewis, and U. Neumann · 2004
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Mapping learning in eigenspace for harmonious caricature generation
J. Liu, Y. Chen, and W. Gao · 2006
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Semi-supervised learning of caricature pattern from manifold regularization
J. Liu, Y. Chen, J. Xie, X. Gao, and W. Gao · 2009
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Computer generated caricature: A survey
S. B. Sadimon, M. S. Sunar, D. Mohamad, and H. Haron · 2010
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Colored exaggerative caricature creation using inter-and intra-correlations of feature shapes and positions
C.-C. Tseng, J.-J. J. Lien, et al · 2012
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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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Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2014
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Conditional generative adversarial nets
M. Mirza and S. Osindero · 2014
Cited alongside, same era.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Autoencoding beyond pixels using a learned similarity metric
A. B. L. Larsen, S. K. Sønderby, H. Larochelle, and O. Winther · 2015
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Deep multi-scale video prediction beyond mean square error
M. Mathieu, C. Couprie, and Y. LeCun · 2015
Cited alongside, same era.
Unsupervised and semi-supervised learning with categorical generative adversarial networks
J. T. Springenberg · 2015
Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
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Learning to discover cross-domain relations with generative adversarial networks
T. Kim, M. Cha, H. Kim, J. K. Lee, and J. Kim · 2017
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Pose guided person image generation
L. Ma, X. Jia, Q. Sun, B. Schiele, T. Tuytelaars, and L. Van Gool · 2017
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Disentangled representation learning gan for pose-invariant face recognition
L. Tran, X. Yin, and X. Liu · 2017
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Learning to generate time-lapse videos using multi-stage dynamic generative adversarial networks
W. Xiong, W. Luo, L. Ma, W. Liu, and J. Luo · 2017
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Dualgan: Unsupervised dual learning for image-to-image translation
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Cited alongside, same era.
Empirical evaluation of rectified activations in convolutional network
B. Xu, N. Wang, T. Chen, and M. Li · 2015
Cited alongside, same era.
Infogan: Interpretable representation learning by information maximizing generative adversarial nets
X. Chen, Y. Duan, R. Houthooft, J. Schulman, I. Sutskever, and P. Abbeel · 2016
Cited alongside, same era.
J. Donahue, P. Krähenbühl, and T. Darrell · 2016
Cited alongside, same era.
Nips 2016 tutorial: Generative adversarial networks
I. Goodfellow · 2016
Cited alongside, same era.
Identity mappings in deep residual networks
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2016
Cited alongside, same era.
Generative adversarial text to image synthesis
S. Reed, Z. Akata, X. Yan, L. Logeswaran, B. Schiele, and H. Lee · 2016
Cited alongside, same era.
Z. Yi, H. R. Zhang, P. Tan, and M. Gong · 2017
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Data-driven synthesis of cartoon faces using different styles
Y. Zhang, W. Dong, C. Ma, X. Mei, K. Li, F. Huang, B. Hu, and O. Deussen · 2017
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Photo-to-caricature translation on faces in the wild
Z. Zheng, H. Zheng, Z. Yu, Z. Gu, and B. Zheng · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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Toward multimodal image-to-image translation
J.-Y. Zhu, R. Zhang, D. Pathak, T. Darrell, A. A. Efros, O. Wang, and E. Shechtman · 2017
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Mutual information neural estimation
M. I. Belghazi, A. Baratin, S. Rajeshwar, S. Ozair, Y. Bengio, D. Hjelm, and A. Courville · 2018
Closest in time.
Multimodal unsupervised image-to-image translation
X. Huang, M.-Y. Liu, S. Belongie, and J. Kautz · 2018
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Stochastic adversarial video prediction
A. X. Lee, R. Zhang, F. Ebert, P. Abbeel, C. Finn, and S. Levine · 2018
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Da-gan: Instance-level image translation by deep attention generative adversarial networks
S. Ma, J. Fu, C. W. Chen, and T. Mei · 2018
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Which training methods for gans do actually converge?
L. Mescheder, A. Geiger, and S. Nowozin · 2018
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Spectral normalization for generative adversarial networks
T. Miyato, T. Kataoka, M. Koyama, and Y. Yoshida · 2018
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