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The generative adversarial network (GAN) framework has emerged as a powerful tool for various image and video synthesis tasks, allowing the synthesis of visual content in an unconditional or input-conditional manner.
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Lecture 6.5—RmsProp: Divide the gradient by a running average of its recent magnitude
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Representation learning: A review and new perspectives
Y. Bengio, A. Courville, and P. Vincent · 2013
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Auto-encoding variational Bayes
D. P. Kingma and M. Welling · 2013
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Generative adversarial networks
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Stochastic backpropagation and approximate inference in deep generative models
D. J. Rezende, S. Mohamed, and D. Wierstra · 2014
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NICE: Non-linear independent components estimation
L. Dinh, D. Krueger, and Y. Bengio · 2015
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Image super-resolution using deep convolutional networks
C. Dong, C. C. Loy, K. He, and X. Tang · 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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Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2015
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Deep learning
Y. LeCun, Y. Bengio, and G. Hinton · 2015
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SMPL: A skinned multi-person linear model
M. Loper, N. Mahmood, J. Romero, G. Pons-Moll, and M. J. Black · 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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Variational inference with normalizing flows
D. J. Rezende and S. Mohamed · 2015
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Unsupervised learning of video representations using LSTMs
N. Srivastava, E. Mansimov, and R. Salakhudinov · 2015
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Real-time expression transfer for facial reenactment
J. Thies, M. Zollhöfer, M. Nießner, L. Valgaerts, M. Stamminger, and C. Theobalt · 2015
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J. L. Ba, J. R. Kiros, and G. E. Hinton · 2016
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Accelerating the super-resolution convolutional neural network
C. Dong, C. C. Loy, and X. Tang · 2016
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Unsupervised learning for physical interaction through video prediction
C. Finn, I. Goodfellow, and S. Levine · 2016
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NIPS 2016 tutorial: Generative adversarial networks
I. Goodfellow · 2016
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Deep learning
I. Goodfellow, Y. Bengio, and A. Courville · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 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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Accurate image super-resolution using very deep convolutional networks
J. Kim, J. Kwon Lee, and K. Mu Lee · 2016
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Autoencoding beyond pixels using a learned similarity metric
A. B. L. Larsen, S. K. Sønderby, H. Larochelle, and O. Winther · 2016
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Coupled generative adversarial networks
M.-Y. Liu and O. Tuzel · 2016
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Deep multi-scale video prediction beyond mean square error
M. Mathieu, C. Couprie, and Y. LeCun · 2016
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f-GAN: Training generative neural samplers using variational divergence minimization
S. Nowozin, B. Cseke, and R. Tomioka · 2016
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WaveNet: A generative model for raw audio
A. v. d. Oord, S. Dieleman, H. Zen, K. Simonyan, O. Vinyals, A. Graves, N. Kalchbrenner, A. Senior, and K. Kavukcuoglu · 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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Improved techniques for training GANs
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
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Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
W. Shi, J. Caballero, F. Huszár, J. Totz, A. P. Aitken, R. Bishop, D. Rueckert, and Z. Wang · 2016
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Ladder variational autoencoders
C. K. Sønderby, T. Raiko, L. Maaløe, S. K. Sønderby, and O. Winther · 2016
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Face2Face: Real-time face capture and reenactment of rgb videos
J. Thies, M. Zollhofer, M. Stamminger, C. Theobalt, and M. Nießner · 2016
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Instance normalization: The missing ingredient for fast stylization
D. Ulyanov, A. Vedaldi, and V. Lempitsky · 2016
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Conditional image generation with PixelCNN decoders
A. Van den Oord, N. Kalchbrenner, L. Espeholt, O. Vinyals, A. Graves, et al · 2016
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Generating videos with scene dynamics
C. Vondrick, H. Pirsiavash, and A. Torralba · 2016
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An uncertain future: Forecasting from static images using variational autoencoders
J. Walker, C. Doersch, A. Gupta, and M. Hebert · 2016
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Visual dynamics: Probabilistic future frame synthesis via cross convolutional networks
T. Xue, J. Wu, K. Bouman, and B. Freeman · 2016
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Generative visual manipulation on the natural image manifold
J.-Y. Zhu, P. Krähenbühl, E. Shechtman, and A. A. Efros · 2016
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Wasserstein GAN
M. Arjovsky, S. Chintala, and L. Bottou · 2017
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Bringing portraits to life
H. Averbuch-Elor, D. Cohen-Or, J. Kopf, and M. F. Cohen · 2017
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One-sided unsupervised domain mapping
S. Benaim and L. Wolf · 2017
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Unsupervised learning of disentangled representations from video
E. L. Denton and V. Birodkar · 2017
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Density estimation using real NVP
L. Dinh, J. Sohl-Dickstein, and S. Bengio · 2017
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Deep generative adversarial compression artifact removal
L. Galteri, L. Seidenari, M. Bertini, and A. Del Bimbo · 2017
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Improved training of wasserstein GANs
I. Gulrajani, F. Ahmed, M. Arjovsky, V. Dumoulin, and A. C. Courville · 2017
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GANs trained by a two time-scale update rule converge to a local Nash equilibrium
M. Heusel, H. Ramsauer, T. Unterthiner, B. Nessler, and S. Hochreiter · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
X. Huang and S. Belongie · 2017
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Globally and locally consistent image completion
S. Iizuka, E. Simo-Serra, and H. Ishikawa · 2017
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Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
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Video pixel networks
N. Kalchbrenner, A. v. d. Oord, K. Simonyan, I. Danihelka, O. Vinyals, A. Graves, and K. Kavukcuoglu · 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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Photo-realistic single image super-resolution using a generative adversarial network
C. Ledig, L. Theis, F. Huszár, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, et al · 2017
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Dual motion GAN for future-flow embedded video prediction
X. Liang, L. Lee, W. Dai, and E. P. Xing · 2017
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Enhanced deep residual networks for single image super-resolution
B. Lim, S. Son, H. Kim, S. Nah, and K. Mu Lee · 2017
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J. H. Lim and J. C. Ye · 2017
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Unsupervised image-to-image translation networks
M.-Y. Liu, T. Breuel, and J. Kautz · 2017
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Deep predictive coding networks for video prediction and unsupervised learning
W. Lotter, G. Kreiman, and D. Cox · 2017
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Learning a no-reference quality metric for single-image super-resolution
C. Ma, C.-Y. Yang, X. Yang, and M.-H. Yang · 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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Least squares generative adversarial networks
X. Mao, Q. Li, H. Xie, R. Y. Lau, Z. Wang, and S. P. Smolley · 2017
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Conditional image synthesis with auxiliary classifier GANs
A. Odena, C. Olah, and J. Shlens · 2017
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Realistic dynamic facial textures from a single image using GANs
K. Olszewski, Z. Li, C. Yang, Y. Zhou, R. Yu, Z. Huang, S. Xiang, S. Saito, P. Kohli, and H. Li · 2017
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Stabilizing training of generative adversarial networks through regularization
K. Roth, A. Lucchi, S. Nowozin, and T. Hofmann · 2017
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Temporal generative adversarial nets with singular value clipping
M. Saito, E. Matsumoto, and S. Saito · 2017
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EnhanceNet: Single image super-resolution through automated texture synthesis
M. S. Sajjadi, B. Scholkopf, and M. Hirsch · 2017
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PixelCNN++: Improving the PixelCNN with discretized logistic mixture likelihood and other modifications
T. Salimans, A. Karpathy, X. Chen, and D. P. Kingma · 2017
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Synthesizing Obama: learning lip sync from audio
S. Suwajanakorn, S. M. Seitz, and I. Kemelmacher-Shlizerman · 2017
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MemNet: A persistent memory network for image restoration
Y. Tai, J. Yang, X. Liu, and C. Xu · 2017
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Image super-resolution using dense skip connections
T. Tong, G. Li, X. Liu, and Q. Gao · 2017
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Decomposing motion and content for natural video sequence prediction
R. Villegas, J. Yang, S. Hong, X. Lin, and H. Lee · 2017
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The pose knows: Video forecasting by generating pose futures
J. Walker, K. Marino, A. Gupta, and M. Hebert · 2017
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DualGAN: Unsupervised dual learning for image-to-image translation
Z. Yi, H. Zhang, P. T. Gong, et al · 2017
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Beyond a gaussian denoiser: Residual learning of deep CNN for image denoising
K. Zhang, W. Zuo, Y. Chen, D. Meng, and L. Zhang · 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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Augmented CycleGAN: Learning many-to-many mappings from unpaired data
A. Almahairi, S. Rajeshwar, A. Sordoni, P. Bachman, and A. Courville · 2018
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Synthesizing images of humans in unseen poses
G. Balakrishnan, A. Zhao, A. V. Dalca, F. Durand, and J. Guttag · 2018
Cited alongside, same era.
Recycle-GAN: Unsupervised video retargeting
A. Bansal, S. Ma, D. Ramanan, and Y. Sheikh · 2018
Cited alongside, same era.
One-shot unsupervised cross domain translation
S. Benaim and L. Wolf · 2018
Cited alongside, same era.
Demystifying mmd gans
M. Bińkowski, D. J. Sutherland, M. Arbel, and A. Gretton · 2018
Cited alongside, same era.
The 2018 PIRM challenge on perceptual image super-resolution
Y. Blau, R. Mechrez, R. Timofte, T. Michaeli, and L. Zelnik-Manor · 2018
Cited alongside, same era.
The perception-distortion tradeoff
Y. Blau and T. Michaeli · 2018
Cited alongside, same era.
A large-scale study on regularization and normalization in gans
K. Kurach, M. Lučić, X. Zhai, M. Michalski, and S. Gelly · 2019
Later among the works it cites.
Improved precision and recall metric for assessing generative models
T. Kynkäänniemi, T. Karras, S. Laine, J. Lehtinen, and T. Aila · 2019
Later among the works it cites.
Harmonizing maximum likelihood with GANs for multimodal conditional generation
S. Lee, J. Ha, and G. Kim · 2019
Later among the works it cites.
Diverse image synthesis from semantic layouts via conditional imle
K. Li, T. Zhang, and J. Malik · 2019
Later among the works it cites.
Dense intrinsic appearance flow for human pose transfer
Y. Li, C. Huang, and C. C. Loy · 2019
Later among the works it cites.
Neural rendering and reenactment of human actor videos
L. Liu, W. Xu, M. Zollhoefer, H. Kim, F. Bernard, M. Habermann, W. Wang, and C. Theobalt · 2019
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J. Chen, J. Chen, H. Chao, and M. Yang · 2018
Cited alongside, same era.
Lip movements generation at a glance
L. Chen, Z. Li, R. K Maddox, Z. Duan, and C. Xu · 2018
Cited alongside, same era.
PixelSNAIL: An improved autoregressive generative model
X. Chen, N. Mishra, M. Rohaninejad, and P. Abbeel · 2018
Cited alongside, same era.
Attention-GAN for object transfiguration in wild images
X. Chen, C. Xu, X. Yang, and D. Tao · 2018
Cited alongside, same era.
StarGAN: Unified generative adversarial networks for multi-domain image-to-image translation
Y. Choi, M. Choi, M. Kim, J.-W. Ha, S. Kim, and J. Choo · 2018
Cited alongside, same era.
Generative adversarial networks: An overview
A. Creswell, T. White, V. Dumoulin, K. Arulkumaran, B. Sengupta, and A. A. Bharath · 2018
Cited alongside, same era.
Later among the works it cites.
Few-shot unsupervised image-to-image translation
M.-Y. Liu, X. Huang, A. Mallya, T. Karras, T. Aila, J. Lehtinen, and J. Kautz · 2019
Later among the works it cites.
Normalized diversification
S. Liu, X. Zhang, J. Wangni, and J. Shi · 2019
Later among the works it cites.
Liquid Warping GAN: A unified framework for human motion imitation, appearance transfer and novel view synthesis
W. Liu, Z. Piao, J. Min, W. Luo, L. Ma, and S. Gao · 2019
Later among the works it cites.
Learning to predict layout-to-image conditional convolutions for semantic image synthesis
X. Liu, G. Yin, J. Shao, X. Wang, et al · 2019
Later among the works it cites.
Unsupervised part-based disentangling of object shape and appearance
D. Lorenz, L. Bereska, T. Milbich, and B. Ommer · 2019
Later among the works it cites.
Exemplar guided unsupervised image-to-image translation with semantic consistency
L. Ma, X. Jia, S. Georgoulis, T. Tuytelaars, and L. Van Gool · 2019
Later among the works it cites.
Mode seeking generative adversarial networks for diverse image synthesis
Q. Mao, H.-Y. Lee, H.-Y. Tseng, S. Ma, and M.-H. Yang · 2019
Later among the works it cites.
Neural rerendering in the wild
M. Meshry, D. B. Goldman, S. Khamis, H. Hoppe, R. Pandey, N. Snavely, and R. Martin-Brualla · 2019
Later among the works it cites.
InstaGAN: Instance-aware image-to-image translation
S. Mo, M. Cho, and J. Shin · 2019
Later among the works it cites.
EdgeConnect: Generative image inpainting with adversarial edge learning
K. Nazeri, E. Ng, T. Joseph, F. Z. Qureshi, and M. Ebrahimi · 2019
Later among the works it cites.
HoloGAN: Unsupervised learning of 3d representations from natural images
T. Nguyen-Phuoc, C. Li, L. Theis, C. Richardt, and Y.-L. Yang · 2019
Later among the works it cites.
FSGAN: Subject agnostic face swapping and reenactment
Y. Nirkin, Y. Keller, and T. Hassner · 2019
Later among the works it cites.
Recent progress on generative adversarial networks (GANs): A survey
Z. Pan, W. Yu, X. Yi, A. Khan, F. Yuan, and Y. Zheng · 2019
Later among the works it cites.
Semantic image synthesis with spatially-adaptive normalization
T. Park, M.-Y. Liu, T.-C. Wang, and J.-Y. Zhu · 2019
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Revealing scenes by inverting structure from motion reconstructions
F. Pittaluga, S. J. Koppal, S. B. Kang, and S. N. Sinha · 2019
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Make a face: Towards arbitrary high fidelity face manipulation
S. Qian, K.-Y. Lin, W. Wu, Y. Liu, Q. Wang, F. Shen, C. Qian, and R. He · 2019
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Seeing is not necessarily believing: Limitations of biggans for data augmentation
S. Ravuri and O. Vinyals · 2019
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PIFu: Pixel-aligned implicit function for high-resolution clothed human digitization
S. Saito, Z. Huang, R. Natsume, S. Morishima, A. Kanazawa, and H. Li · 2019
Later among the works it cites.
SinGAN: Learning a generative model from a single natural image
T. R. Shaham, T. Dekel, and T. Michaeli · 2019
Later among the works it cites.
Textured neural avatars
A. Shysheya, E. Zakharov, K.-A. Aliev, R. Bashirov, E. Burkov, K. Iskakov, A. Ivakhnenko, Y. Malkov, I. Pasechnik, D. Ulyanov, et al · 2019
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First order motion model for image animation
A. Siarohin, S. Lathuilière, S. Tulyakov, E. Ricci, and N. Sebe · 2019
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Animating arbitrary objects via deep motion transfer
A. Siarohin, S. Lathuilière, S. Tulyakov, E. Ricci, and N. Sebe · 2019
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DeepVoxels: Learning persistent 3d feature embeddings
V. Sitzmann, J. Thies, F. Heide, M. Nießner, G. Wetzstein, and M. Zollhofer · 2019
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Unsupervised person image generation with semantic parsing transformation
S. Song, W. Zhang, J. Liu, and T. Mei · 2019
Later among the works it cites.
Talking face generation by conditional recurrent adversarial network
Y. Song, J. Zhu, D. Li, A. Wang, and H. Qi · 2019
Later among the works it cites.
Boundless: Generative adversarial networks for image extension
P. Teterwak, A. Sarna, D. Krishnan, A. Maschinot, D. Belanger, C. Liu, and W. T. Freeman · 2019
Later among the works it cites.
Deferred neural rendering: Image synthesis using neural textures
J. Thies, M. Zollhöfer, and M. Nießner · 2019
Later among the works it cites.
Realistic speech-driven facial animation with GANs
K. Vougioukas, S. Petridis, and M. Pantic · 2019
Later among the works it cites.
Example-guided style-consistent image synthesis from semantic labeling
M. Wang, G.-Y. Yang, R. Li, R.-Z. Liang, S.-H. Zhang, P. M. Hall, and S.-M. Hu · 2019
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Few-shot video-to-video synthesis
T.-C. Wang, M.-Y. Liu, A. Tao, G. Liu, J. Kautz, and B. Catanzaro · 2019
Later among the works it cites.
Generative adversarial networks in computer vision: A survey and taxonomy
Z. Wang, Q. She, and T. E. Ward · 2019
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Photo wake-up: 3d character animation from a single photo
C.-Y. Weng, B. Curless, and I. Kemelmacher-Shlizerman · 2019
Later among the works it cites.
Foreground-aware image inpainting
W. Xiong, J. Yu, Z. Lin, J. Yang, X. Lu, C. Barnes, and J. Luo · 2019
Later among the works it cites.
Show, attend, and translate: Unsupervised image translation with self-regularization and attention
C. Yang, T. Kim, R. Wang, H. Peng, and C.-C. J. Kuo · 2019
Later among the works it cites.
Diversity-sensitive conditional generative adversarial networks
D. Yang, S. Hong, Y. Jang, T. Zhao, and H. Lee · 2019
Later among the works it cites.
Wide activation for efficient and accurate image super-resolution
J. Yu, Y. Fan, J. Yang, N. Xu, Z. Wang, X. Wang, and T. Huang · 2019
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Free-form image inpainting with gated convolution
J. Yu, Z. Lin, J. Yang, X. Shen, X. Lu, and T. S. Huang · 2019
Later among the works it cites.
Few-shot adversarial learning of realistic neural talking head models
E. Zakharov, A. Shysheya, E. Burkov, and V. Lempitsky · 2019
Later among the works it cites.
Learning pyramid-context encoder network for high-quality image inpainting
Y. Zeng, J. Fu, H. Chao, and B. Guo · 2019
Later among the works it cites.
Self-attention generative adversarial networks
H. Zhang, I. Goodfellow, D. Metaxas, and A. Odena · 2019
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Detecting and simulating artifacts in GAN fake images
X. Zhang, S. Karaman, and S.-F. Chang · 2019
Later among the works it cites.
Pluralistic image completion
C. Zheng, T.-J. Cham, and J. Cai · 2019
Later among the works it cites.
Talking face generation by adversarially disentangled audio-visual representation
H. Zhou, Y. Liu, Z. Liu, P. Luo, and X. Wang · 2019
Later among the works it cites.
Dance dance generation: Motion transfer for internet videos
Y. Zhou, Z. Wang, C. Fang, T. Bui, and T. L. Berg · 2019
Later among the works it cites.
Progressive pose attention transfer for person image generation
Z. Zhu, T. Huang, B. Shi, M. Yu, B. Wang, and X. Bai · 2019
Later among the works it cites.
Image2StyleGAN++: How to edit the embedded images?
R. Abdal, Y. Qin, and P. Wonka · 2020
Closest in time.
Rethinking the truly unsupervised image-to-image translation
K. Baek, Y. Choi, Y. Uh, J. Yoo, and H. Shim · 2020
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Structural-analogy from a single image pair
S. Benaim, R. Mokady, A. Bermano, D. Cohen-Or, and L. Wolf · 2020
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What makes fake images detectable? understanding properties that generalize
L. Chai, D. Bau, S.-N. Lim, and P. Isola · 2020
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Vid2Game: Controllable characters extracted from real-world videos
O. Gafni, L. Wolf, and Y. Taigman · 2020
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FLNet: Landmark driven fetching and learning network for faithful talking facial animation synthesis
K. Gu, Y. Zhou, and T. S. Huang · 2020
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MarioNETte: Few-shot face reenactment preserving identity of unseen targets
S. Ha, M. Kersner, B. Kim, S. Seo, and D. Kim · 2020
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ARCH: Animatable reconstruction of clothed humans
Z. Huang, Y. Xu, C. Lassner, H. Li, and T. Tung · 2020
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Transforming and projecting images into class-conditional generative networks
M. Huh, R. Zhang, J.-Y. Zhu, S. Paris, and A. Hertzmann · 2020
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On the ”steerability” of generative adversarial networks
A. Jahanian, L. Chai, and P. Isola · 2020
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On relativistic f-divergences
A. Jolicoeur-Martineau · 2020
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Analyzing and improving the image quality of StyleGAN
T. Karras, S. Laine, M. Aittala, J. Hellsten, J. Lehtinen, and T. Aila · 2020
Closest in time.
K. Kim, Y. Yun, K.-W. Kang, K. Gong, S. Lee, and S.-J. Kang · 2020
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MaskGAN: Towards diverse and interactive facial image manipulation
C.-H. Lee, Z. Liu, L. Wu, and P. Luo · 2020
Closest in time.
Crowdsampling the plenoptic function
Z. Li, W. Xian, A. Davis, and N. Snavely · 2020
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TuiGAN: Learning versatile image-to-image translation with two unpaired images
J. Lin, Y. Pang, Y. Xia, Z. Chen, and J. Luo · 2020
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Neural human video rendering by learning dynamic textures and rendering-to-video translation
L. Liu, W. Xu, M. Habermann, M. Zollhoefer, F. Bernard, H. Kim, W. Wang, and C. Theobalt · 2020
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Unpaired image super-resolution using pseudo-supervision
S. Maeda · 2020
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World-consistent video-to-video synthesis
A. Mallya, T.-C. Wang, K. Sapra, and M.-Y. Liu · 2020
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Reliable fidelity and diversity metrics for generative models
M. F. Naeem, S. J. Oh, Y. Uh, Y. Choi, and J. Yoo · 2020
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BlockGAN: Learning 3d object-aware scene representations from unlabelled images
T. Nguyen-Phuoc, C. Richardt, L. Mai, Y.-L. Yang, and N. Mitra · 2020
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Contrastive learning for unpaired image-to-image translation
T. Park, A. A. Efros, R. Zhang, and J.-Y. Zhu · 2020
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GANimation: One-shot anatomically consistent facial animation
A. Pumarola, A. Agudo, A. M. Martinez, A. Sanfeliu, and F. Moreno-Noguer · 2020
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Deep image spatial transformation for person image generation
Y. Ren, X. Yu, J. Chen, T. H. Li, and G. Li · 2020
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COCO-FUNIT: Few-shot unsupervised image translation with a content conditioned style encoder
K. Saito, K. Saenko, and M.-Y. Liu · 2020
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GRAF: Generative radiance fields for 3d-aware image synthesis
K. Schwarz, Y. Liao, M. Niemeyer, and A. Geiger · 2020
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Interpreting the latent space of GANs for semantic face editing
Y. Shen, J. Gu, X. Tang, and B. Zhou · 2020
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Edge guided GANs with semantic preserving for semantic image synthesis
H. Tang, X. Qi, D. Xu, P. H. Torr, and N. Sebe · 2020
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State of the Art on Neural Rendering
A. Tewari, O. Fried, J. Thies, V. Sitzmann, S. Lombardi, K. Sunkavalli, R. Martin-Brualla, T. Simon, J. Saragih, M. Nießner, R. Pandey, S. Fanello, G. Wetzstein, J.-Y. Zhu, C. Theobalt, M. Agrawala, E. Shechtman, D. B. Goldman, and M. Zollhöfer · 2020
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CNN-generated images are surprisingly easy to spot… for now
S.-Y. Wang, O. Wang, R. Zhang, A. Owens, and A. A. Efros · 2020
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Semi-supervised learning for few-shot image-to-image translation
Y. Wang, S. Khan, A. Gonzalez-Garcia, J. v. d. Weijer, and F. S. Khan · 2020
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SynSin: End-to-end view synthesis from a single image
O. Wiles, G. Gkioxari, R. Szeliski, and J. Johnson · 2020
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Cross-domain correspondence learning for exemplar-based image translation
P. Zhang, B. Zhang, D. Chen, L. Yuan, and F. Wen · 2020
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H. Zheng, H. Liao, L. Chen, W. Xiong, T. Chen, and J. Luo · 2020
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