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Video-to-video synthesis (vid2vid) aims at converting an input semantic video, such as videos of human poses or segmentation masks, to an output photorealistic video.
Segmentation and recognition using structure from motion point clouds
G. J. Brostow, J. Shotton, J. Fauqueur, and R. Cipolla · 2008
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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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Adam: A method for stochastic optimization
D. Kingma and J. Ba · 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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Unsupervised learning of video representations using lstms
N. Srivastava, E. Mansimov, and R. Salakhudinov · 2015
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Show, attend and tell: Neural image caption generation with visual attention
K. Xu, J. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhutdinov, R. Zemel, and Y. Bengio · 2015
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The Cityscapes dataset for semantic urban scene understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 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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Hypernetworks
D. Ha, A. Dai, and Q. V. Le · 2016
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Dynamic filter networks
X. Jia, B. De Brabandere, T. Tuytelaars, and L. V. Gool · 2016
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N. Kalchbrenner, A. v. d. Oord, K. Simonyan, I. Danihelka, O. Vinyals, A. Graves, and K. Kavukcuoglu · 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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Generative adversarial text to image synthesis
S. Reed, Z. Akata, X. Yan, L. Logeswaran, B. Schiele, and H. Lee · 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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Unsupervised pixel-level domain adaptation with generative adversarial networks
K. Bousmalis, N. Silberman, D. Dohan, D. Erhan, and D. Krishnan · 2017
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Unsupervised learning of disentangled representations from video
E. L. Denton and V. Birodkar · 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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Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 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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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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Video frame interpolation via adaptive convolution
S. Niklaus, L. Mai, and F. Liu · 2017
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Video frame interpolation via adaptive separable convolution
S. Niklaus, L. Mai, and F. Liu · 2017
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Conditional image synthesis with auxiliary classifier GANs
A. Odena, C. Olah, and J. Shlens · 2017
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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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Flow-grounded spatial-temporal video prediction from still images
Y. Li, C. Fang, J. Yang, Z. Wang, X. Lu, and M.-H. Yang · 2018
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cGANs with projection discriminator
T. Miyato and M. Koyama · 2018
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Dense pose transfer
N. Neverova, R. Alp Guler, and I. Kokkinos · 2018
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Faceforensics: A large-scale video dataset for forgery detection in human faces
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Temporal generative adversarial nets with singular value clipping
M. Saito, E. Matsumoto, and S. Saito · 2017
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Learning from simulated and unsupervised images through adversarial training
A. Shrivastava, T. Pfister, O. Tuzel, J. Susskind, W. Wang, and R. Webb · 2017
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Unsupervised cross-domain image generation
Y. Taigman, A. Polyak, and L. Wolf · 2017
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Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
Cited alongside, same era.
Decomposing motion and content for natural video sequence prediction
R. Villegas, J. Yang, S. Hong, X. Lin, and H. Lee · 2017
Cited alongside, same era.
The pose knows: Video forecasting by generating pose futures
J. Walker, K. Marino, A. Gupta, and M. Hebert · 2017
Cited alongside, same era.
A. Rössler, D. Cozzolino, L. Verdoliva, C. Riess, J. Thies, and M. Nießner · 2018
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MoCoGAN: Decomposing motion and content for video generation
S. Tulyakov, M.-Y. Liu, X. Yang, and J. Kautz · 2018
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Video-to-video synthesis
T.-C. Wang, M.-Y. Liu, J.-Y. Zhu, G. Liu, A. Tao, J. Kautz, and B. Catanzaro · 2018
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High-resolution image synthesis and semantic manipulation with conditional GANs
T.-C. Wang, M.-Y. Liu, J.-Y. Zhu, A. Tao, J. Kautz, and B. Catanzaro · 2018
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Dynamic sampling convolutional neural networks
J. Wu, D. Li, Y. Yang, C. Bajaj, and X. Ji · 2018
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Cgnet: A light-weight context guided network for semantic segmentation
T. Wu, S. Tang, R. Zhang, and Y. Zhang · 2018
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Attngan: Fine-grained text to image generation with attentional generative adversarial networks
T. Xu, P. Zhang, Q. Huang, H. Zhang, Z. Gan, X. Huang, and X. He · 2018
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Large scale gan training for high fidelity natural image synthesis
A. Brock, J. Donahue, and K. Simonyan · 2019
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Vid2game: Controllable characters extracted from real-world videos
O. Gafni, L. Wolf, and Y. Taigman · 2019
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A style-based generator architecture for generative adversarial networks
T. Karras, S. Laine, and T. Aila · 2019
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Few-shot unsupervised image-to-image translation
M.-Y. Liu, X. Huang, A. Mallya, T. Karras, T. Aila, J. Lehtinen, and J. Kautz · 2019
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Video generation from single semantic label map
J. Pan, C. Wang, X. Jia, J. Shao, L. Sheng, J. Yan, and X. Wang · 2019
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Semantic image synthesis with spatially-adaptive normalization
T. Park, M.-Y. Liu, T.-C. Wang, and J.-Y. Zhu · 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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Pixel-adaptive convolutional neural networks
H. Su, V. Jampani, D. Sun, O. Gallo, E. Learned-Miller, and J. Kautz · 2019
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Graph hypernetworks for neural architecture search
C. Zhang, M. Ren, and R. Urtasun · 2019
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Self-attention generative adversarial networks
H. Zhang, I. Goodfellow, D. Metaxas, and A. Odena · 2019
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Dance dance generation: Motion transfer for internet videos
Y. Zhou, Z. Wang, C. Fang, T. Bui, and T. L. Berg · 2019
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