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Due to the remarkable progress of deep generative models, animating images has become increasingly efficient, whereas associated results have become increasingly realistic.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Displaced dynamic expression regression for real-time facial tracking and animation
Chen Cao, Qiming Hou, and Kun Zhou · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
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Openface: A general-purpose face recognition library with mobile applications
Brandon Amos, Bartosz Ludwiczuk, and Mahadev Satyanarayanan · 2016
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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Harry Potter and the Cursed Child–Parts One and Two (Special Rehearsal Edition)
Joanne Kathleen Rowling, John Tiffany, and Jack Thorne · 2016
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Face2face: Real-time face capture and reenactment of RGB videos
Justus Thies, Michael Zollhofer, Marc Stamminger, Christian Theobalt, and Matthias Nießner · 2016
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Generating videos with scene dynamics
Carl Vondrick, Hamed Pirsiavash, and Antonio Torralba · 2016
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How far are we from solving the 2d & 3d face alignment problem? (and a dataset of 230,000 3d facial landmarks)
Adrian Bulat and Georgios Tzimiropoulos · 2017
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Unsupervised learning of disentangled representations from video
Emily L Denton and vighnesh Birodkar · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Temporal generative adversarial nets with singular value clipping
Masaki Saito, Eiichi Matsumoto, and Shunta Saito · 2017
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The pose knows: Video forecasting by generating pose futures
Jacob Walker, Kenneth Marino, Abhinav Gupta, and Martial Hebert · 2017
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Voxceleb2: Deep speaker recognition
J. S. Chung, A. Nagrani, and A. Zisserman · 2018
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Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet?
Kensho Hara, Hirokatsu Kataoka, and Yutaka Satoh · 2018
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Video Prediction with Appearance and Motion Conditions
Yunseok Jang, Gunhee Kim, and Yale Song · 2018
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Flow-grounded spatial-temporal video prediction from still images
Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, and Ming-Hsuan Yang · 2018
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Disentangled sequential autoencoder
Yingzhen Li and Stephan Mandt · 2018
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Hierarchical video generation from orthogonal information: Optical flow and texture
Katsunori Ohnishi, Shohei Yamamoto, Yoshitaka Ushiku, and Tatsuya Harada · 2018
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MoCoGAN: Decomposing motion and content for video generation
Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang, and Jan Kautz · 2018
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Video-to-video synthesis
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, and Bryan Catanzaro · 2018
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X2face: A network for controlling face generation using images, audio, and pose codes
Olivia Wiles, A Koepke, and Andrew Zisserman · 2018
Cited alongside, same era.
Pose guided human video generation
Ceyuan Yang, Zhe Wang, Xinge Zhu, Chen Huang, Jianping Shi, and Dahua Lin · 2018
Cited alongside, same era.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Deferred neural rendering: Image synthesis using neural textures
Justus Thies, Michael Zollhöfer, and Matthias Nießner · 2019
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Few-shot video-to-video synthesis
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, and Bryan Catanzaro · 2019
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Few-shot adversarial learning of realistic neural talking head models
Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, and Victor Lempitsky · 2019
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Image2stylegan++: How to edit the embedded images?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2020
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Disentangling multiple features in video sequences using gaussian processes in variational autoencoders
Sarthak Bhagat, Shagun Uppal, Zhuyun Yin, and Nengli Lim · 2020
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On the ”steerability” of generative adversarial networks
Ali Jahanian, Lucy Chai, and Phillip Isola · 2020
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Learning to forecast and refine residual motion for image-to-video generation
Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, and Dimitris Metaxas · 2018
Cited alongside, same era.
Large scale GAN training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
Cited alongside, same era.
Openpose: Realtime multi-person 2d pose estimation using part affinity fields
Z. Cao, G. Hidalgo Martinez, T. Simon, S. Wei, and Y. A. Sheikh · 2019
Cited alongside, same era.
Everybody dance now
Caroline Chan, Shiry Ginosar, Tinghui Zhou, and Alexei A Efros · 2019
Cited alongside, same era.
Adversarial video generation on complex datasets
Aidan Clark, Jeff Donahue, and Karen Simonyan · 2019
Cited alongside, same era.
Ganalyze: Toward visual definitions of cognitive image properties
Lore Goetschalckx, Alex Andonian, Aude Oliva, and Phillip Isola · 2019
Cited alongside, same era.
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The hessian penalty: A weak prior for unsupervised disentanglement
William Peebles, John Peebles, Jun-Yan Zhu, Alexei A. Efros, and Antonio Torralba · 2020
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Interpreting the latent space of gans for semantic face editing
Yujun Shen, Jinjin Gu, Xiaoou Tang, and Bolei Zhou · 2020
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Neural voice puppetry: Audio-driven facial reenactment
Justus Thies, Mohamed Elgharib, Ayush Tewari, Christian Theobalt, and Matthias Nießner · 2020
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Unsupervised discovery of interpretable directions in the gan latent space
Andrey Voynov and Artem Babenko · 2020
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Motion-based generator model: Unsupervised disentanglement of appearance, trackable and intrackable motions in dynamic patterns
Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, and Ying Nian Wu · 2020
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Transmomo: Invariance-driven unsupervised video motion retargeting
Zhuoqian Yang, Wentao Zhu, Wayne Wu, Chen Qian, Qiang Zhou, Bolei Zhou, and Chen Change Loy · 2020
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Vehiclenet: Learning robust visual representation for vehicle re-identification
Zhedong Zheng, Tao Ruan, Yunchao Wei, Yi Yang, and Tao Mei · 2020
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In-domain gan inversion for real image editing
Jiapeng Zhu, Yujun Shen, Deli Zhao, and Bolei Zhou · 2020
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Joint generative and contrastive learning for unsupervised person re-identification
Hao Chen, Yaohui Wang, Benoit Lagadec, Antitza Dantcheva, and Francois Bremond · 2021
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Closed-form factorization of latent semantics in gans
Yujun Shen and Bolei Zhou · 2021
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Motion representations for articulated animation
Aliaksandr Siarohin, Oliver Woodford, Jian Ren, Menglei Chai, and Sergey Tulyakov · 2021
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A good image generator is what you need for high-resolution video synthesis
Yu Tian, Jian Ren, Menglei Chai, Kyle Olszewski, Xi Peng, Dimitris N. Metaxas, and Sergey Tulyakov · 2021
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Learning to Generate Human Videos
Yaohui Wang · 2021
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