Fetching the paper…
Reading the bibliography…
Image animation consists of generating a video sequence so that an object in a source image is animated according to the motion of a driving video.
A morphable model for the synthesis of 3d faces
Volker Blanz and Thomas Vetter · 1999
Earlier work this paper cites.
Multiscale structural similarity for image quality assessment
Zhou Wang, Eero P Simoncelli, and Alan C Bovik · 2003
Earlier work this paper cites.
Are you really smiling at me? spontaneous versus posed enjoyment smiles
Hamdi Dibeklioğlu, Albert Ali Salah, and Theo Gevers · 2012
Earlier work this paper cites.
Displaced dynamic expression regression for real-time facial tracking and animation
Chen Cao, Qiming Hou, and Kun Zhou · 2014
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2014
Earlier work this paper cites.
Spatial transformer networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman, et al · 2015
Earlier work this paper cites.
Action-conditional video prediction using deep networks in atari games
Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L Lewis, and Satinder Singh · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Unsupervised learning of video representations using lstms
Nitish Srivastava, Elman Mansimov, and Ruslan Salakhudinov · 2015
Earlier work this paper cites.
Unsupervised learning for physical interaction through video prediction
Chelsea Finn, Ian Goodfellow, and Sergey Levine · 2016
Earlier work this paper cites.
Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
Earlier work this paper cites.
Face2face: Real-time face capture and reenactment of rgb videos
Justus Thies, Michael Zollhofer, Marc Stamminger, Christian Theobalt, and Matthias Nießner · 2016
Earlier work this paper cites.
Generating videos with scene dynamics
Carl Vondrick, Hamed Pirsiavash, and Antonio Torralba · 2016
Earlier work this paper cites.
Stochastic variational video prediction
Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan, Roy H Campbell, and Sergey Levine · 2017
Earlier work this paper cites.
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
Cited alongside, same era.
Realtime multi-person 2d pose estimation using part affinity fields
Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2017
Cited alongside, same era.
Self-supervised visual planning with temporal skip connections
Frederik Ebert, Chelsea Finn, Alex X Lee, and Sergey Levine · 2017
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
Cited alongside, same era.
Voxceleb: a large-scale speaker identification dataset
A. Nagrani, J. S. Chung, and A. Zisserman · 2017
Cited alongside, same era.
Temporal generative adversarial nets with singular value clipping
Masaki Saito, Eiichi Matsumoto, and Shunta Saito · 2017
Mocogan: Decomposing motion and content for video generation
Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang, and Jan Kautz · 2018
Later among the works it cites.
Video-to-video synthesis
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, and Bryan Catanzaro · 2018
Later among the works it cites.
Every smile is unique: Landmark-guided diverse smile generation
Wei Wang, Xavier Alameda-Pineda, Dan Xu, Pascal Fua, Elisa Ricci, and Nicu Sebe · 2018
Later among the works it cites.
X2face: A network for controlling face generation using images, audio, and pose codes
Olivia Wiles, A Sophia Koepke, and Andrew Zisserman · 2018
Later among the works it cites.
Unsupervised discovery of object landmarks as structural representations
Yuting Zhang, Yijie Guo, Yixin Jin, Yijun Luo, Zhiyuan He, and Honglak Lee · 2018
Later among the works it cites.
Learning to forecast and refine residual motion for image-to-video generation
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Transformation-based models of video sequences
Joost Van Amersfoort, Anitha Kannan, Marc’Aurelio Ranzato, Arthur Szlam, Du Tran, and Soumith Chintala · 2017
Cited alongside, same era.
Synthesizing images of humans in unseen poses
Guha Balakrishnan, Amy Zhao, Adrian V Dalca, Fredo Durand, and John Guttag · 2018
Cited alongside, same era.
Recycle-gan: Unsupervised video retargeting
Aayush Bansal, Shugao Ma, Deva Ramanan, and Yaser Sheikh · 2018
Cited alongside, same era.
Everybody dance now
Caroline Chan, Shiry Ginosar, Tinghui Zhou, and Alexei A Efros · 2018
Cited alongside, same era.
A variational u-net for conditional appearance and shape generation
Patrick Esser, Ekaterina Sutter, and Björn Ommer · 2018
Cited alongside, same era.
Unsupervised learning of object landmarks through conditional image generation
Tomas Jakab, Ankush Gupta, Hakan Bilen, and Andrea Vedaldi · 2018
Cited alongside, same era.
Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, and Dimitris Metaxas · 2018
Later among the works it cites.
State of the art on monocular 3d face reconstruction, tracking, and applications
Michael Zollhöfer, Justus Thies, Pablo Garrido, Derek Bradley, Thabo Beeler, Patrick Pérez, Marc Stamminger, Matthias Nießner, and Christian Theobalt · 2018
Later among the works it cites.
3d guided fine-grained face manipulation
Zhenglin Geng, Chen Cao, and Sergey Tulyakov · 2019
Later among the works it cites.
Coordinate-based texture inpainting for pose-guided image generation
Artur Grigorev, Artem Sevastopolsky, Alexander Vakhitov, and Victor Lempitsky · 2019
Later among the works it cites.
Gesture-to-gesture translation in the wild via category-independent conditional maps
Yahui Liu, Marco De Nadai, Gloria Zen, Nicu Sebe, and Bruno Lepri · 2019
Later among the works it cites.
Laplace landmark localization
Joseph P Robinson, Yuncheng Li, Ning Zhang, Yun Fu, and Sergey Tulyakov · 2019
Later among the works it cites.
Textured neural avatars
Aliaksandra Shysheya, Egor Zakharov, Kara-Ali Aliev, Renat Bashirov, Egor Burkov, Karim Iskakov, Aleksei Ivakhnenko, Yury Malkov, Igor Pasechnik, Dmitry Ulyanov, Alexander Vakhitov, and Victor Lempitsky · 2019
Later among the works it cites.
Animating arbitrary objects via deep motion transfer
Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, and Nicu Sebe · 2019
Later among the works it cites.
Dwnet: Dense warp-based network for pose-guided human video generation
Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, and Leonid Sigal · 2019
Later among the works it cites.
Few-shot adversarial learning of realistic neural talking head models
Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, and Victor Lempitsky · 2019
Later among the works it cites.