Fetching the paper…
Reading the bibliography…
We propose a neural talking-head video synthesis model and demonstrate its application to video conferencing.
An introduction to arithmetic coding
Glen G Langdon · 1984
Earlier work this paper cites.
A morphable model for the synthesis of 3D faces
Volker Blanz and Thomas Vetter · 1999
Earlier work this paper cites.
Elements of information theory
Thomas M Cover · 1999
Earlier work this paper cites.
Face transfer with multilinear models
Daniel Vlasic, Matthew Brand, Hanspeter Pfister, and Jovan Popovic · 2005
Earlier work this paper cites.
Dlib-ml: A machine learning toolkit
Davis E. King · 2009
Earlier work this paper cites.
Generative adversarial networks
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.
Image super-resolution using deep convolutional networks
Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
Deep face recognition
Omkar M Parkhi, Andrea Vedaldi, and Andrew Zisserman · 2015
Earlier work this paper cites.
Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2015
Earlier work this paper cites.
Real-time expression transfer for facial reenactment
Justus Thies, Michael Zollhöfer, Matthias Nießner, Levi Valgaerts, Marc Stamminger, and Christian Theobalt · 2015
Earlier work this paper cites.
Accelerating the super-resolution convolutional neural network
Chao Dong, Chen Change Loy, and Xiaoou Tang · 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.
Accurate image super-resolution using very deep convolutional networks
Jiwon Kim, Jung Kwon Lee, and Kyoung Mu Lee · 2016
Earlier work this paper cites.
Coupled generative adversarial networks
Ming-Yu Liu and Oncel Tuzel · 2016
Earlier work this paper cites.
Generative adversarial text to image synthesis
Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, and Honglak Lee · 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.
Bringing portraits to life
Hadar Averbuch-Elor, Daniel Cohen-Or, Johannes Kopf, and Michael F Cohen · 2017
Earlier work this paper cites.
Unsupervised pixel-level domain adaptation with generative adversarial networks
Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, and Dilip Krishnan · 2017
Earlier work this paper cites.
Improved training of wasserstein GANs
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville · 2017
Earlier work this paper cites.
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
Earlier work this paper cites.
Globally and locally consistent image completion
Satoshi Iizuka, Edgar Simo-Serra, and Hiroshi Ishikawa · 2017
Earlier work this paper cites.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
Earlier work this paper cites.
Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al · 2017
Earlier work this paper cites.
Enhanced deep residual networks for single image super-resolution
Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee · 2017
Earlier work this paper cites.
Unsupervised image-to-image translation networks
Ming-Yu Liu, Thomas Breuel, and Jan Kautz · 2017
Earlier work this paper cites.
Realistic dynamic facial textures from a single image using GANs
Kyle Olszewski, Zimo Li, Chao Yang, Yi Zhou, Ronald Yu, Zeng Huang, Sitao Xiang, Shunsuke Saito, Pushmeet Kohli, and Hao Li · 2017
Earlier work this paper cites.
Learning from simulated and unsupervised images through adversarial training
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, and Russ Webb · 2017
Earlier work this paper cites.
Synthesizing Obama: learning lip sync from audio
Supasorn Suwajanakorn, Steven M Seitz, and Ira Kemelmacher-Shlizerman · 2017
Earlier work this paper cites.
MemNet: A persistent memory network for image restoration
Ying Tai, Jian Yang, Xiaoming Liu, and Chunyan Xu · 2017
Earlier work this paper cites.
Unsupervised cross-domain image generation
Yaniv Taigman, Adam Polyak, and Lior Wolf · 2017
Earlier work this paper cites.
Image super-resolution using dense skip connections
Tong Tong, Gen Li, Xiejie Liu, and Qinquan Gao · 2017
Earlier work this paper cites.
StackGAN: Text to photo-realistic image synthesis with stacked generative adversarial networks
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaolei Huang, Xiaogang Wang, and Dimitris Metaxas · 2017
Earlier work this paper cites.
Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
Earlier work this paper cites.
Toward multimodal image-to-image translation
Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A Efros, Oliver Wang, and Eli Shechtman · 2017
Earlier work this paper cites.
Recycle-GAN: Unsupervised video retargeting
Aayush Bansal, Shugao Ma, Deva Ramanan, and Yaser Sheikh · 2018
Cited alongside, same era.
StarGAN: Unified generative adversarial networks for multi-domain image-to-image translation
Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, and Jaegul Choo · 2018
Cited alongside, same era.
VoxCeleb2: Deep speaker recognition
Joon Son Chung, Arsha Nagrani, and Andrew Zisserman · 2018
Cited alongside, same era.
Warp-guided GANs for single-photo facial animation
Jiahao Geng, Tianjia Shao, Youyi Zheng, Yanlin Weng, and Kun Zhou · 2018
Cited alongside, same era.
Multimodal unsupervised image-to-image translation
Xun Huang, Ming-Yu Liu, Serge Belongie, and Jan Kautz · 2018
Cited alongside, same era.
Progressive growing of GANs for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
Neural rendering and reenactment of human actor videos
Lingjie Liu, Weipeng Xu, Michael Zollhoefer, Hyeongwoo Kim, Florian Bernard, Marc Habermann, Wenping Wang, and Christian Theobalt · 2019
Later among the works it cites.
Few-shot unsupervised image-to-image translation
Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, and Jan Kautz · 2019
Later among the works it cites.
Liquid Warping GAN: A unified framework for human motion imitation, appearance transfer and novel view synthesis
Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, and Shenghua Gao · 2019
Later among the works it cites.
Dvc: An end-to-end deep video compression framework
Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, and Zhiyong Gao · 2019
Later among the works it cites.
FSGAN: Subject agnostic face swapping and reenactment
Yuval Nirkin, Yosi Keller, and Tal Hassner · 2019
Later among the works it cites.
Semantic image synthesis with spatially-adaptive normalization
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Deep video portraits
Hyeongwoo Kim, Pablo Garrido, Ayush Tewari, Weipeng Xu, Justus Thies, Matthias Niessner, Patrick Pérez, Christian Richardt, Michael Zollhöfer, and Christian Theobalt · 2018
Cited alongside, same era.
DeblurGAN: Blind motion deblurring using conditional adversarial networks
Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, and Jiří Matas · 2018
Cited alongside, same era.
Image inpainting for irregular holes using partial convolutions
Guilin Liu, Fitsum A Reda, Kevin J Shih, Ting-Chun Wang, Andrew Tao, and Bryan Catanzaro · 2018
Cited alongside, same era.
The ryerson audio-visual database of emotional speech and song (ravdess): A dynamic, multimodal set of facial and vocal expressions in north american english
Steven R Livingstone and Frank A Russo · 2018
Cited alongside, same era.
Deep kalman filtering network for video compression artifact reduction
Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Zhiyong Gao, and Ming-Ting Sun · 2018
Cited alongside, same era.
Spectral normalization for generative adversarial networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
Cited alongside, same era.
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu · 2019
Later among the works it cites.
Learned video compression
Oren Rippel, Sanjay Nair, Carissa Lew, Steve Branson, Alexander G Anderson, and Lubomir Bourdev · 2019
Later among the works it cites.
First order motion model for image animation
Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, and Nicu Sebe · 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.
Talking face generation by conditional recurrent adversarial network
Yang Song, Jingwen Zhu, Dawei Li, Andy Wang, and Hairong Qi · 2019
Later among the works it cites.
Deferred neural rendering: Image synthesis using neural textures
Justus Thies, Michael Zollhöfer, and Matthias Nießner · 2019
Later among the works it cites.
Realistic speech-driven facial animation with GANs
Konstantinos Vougioukas, Stavros Petridis, and Maja Pantic · 2019
Later among the works it cites.
Few-shot video-to-video synthesis
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, and Bryan Catanzaro · 2019
Later among the works it cites.
EDVR: Video restoration with enhanced deformable convolutional networks
Xintao Wang, Kelvin CK Chan, Ke Yu, Chao Dong, and Chen Change Loy · 2019
Later among the works it cites.
Foreground-aware image inpainting
Wei Xiong, Jiahui Yu, Zhe Lin, Jimei Yang, Xin Lu, Connelly Barnes, and Jiebo Luo · 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.
Learning pyramid-context encoder network for high-quality image inpainting
Yanhong Zeng, Jianlong Fu, Hongyang Chao, and Baining Guo · 2019
Later among the works it cites.
Talking face generation by adversarially disentangled audio-visual representation
Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, and Xiaogang Wang · 2019
Later among the works it cites.
Dance dance generation: Motion transfer for internet videos
Yipin Zhou, Zhaowen Wang, Chen Fang, Trung Bui, and Tamara L Berg · 2019
Later among the works it cites.
Scale-space flow for end-to-end optimized video compression
Eirikur Agustsson, David Minnen, Nick Johnston, Johannes Balle, Sung Jin Hwang, and George Toderici · 2020
Closest in time.
Neural head reenactment with latent pose descriptors
Egor Burkov, Igor Pasechnik, Artur Grigorev, and Victor Lempitsky · 2020
Closest in time.
Disentangled and controllable face image generation via 3D imitative-contrastive learning
Yu Deng, Jiaolong Yang, Dong Chen, Fang Wen, and Xin Tong · 2020
Closest in time.
FLNet: Landmark driven fetching and learning network for faithful talking facial animation synthesis
Kuangxiao Gu, Yuqian Zhou, and Thomas S Huang · 2020
Closest in time.
MarioNETte: Few-shot face reenactment preserving identity of unseen targets
Sungjoo Ha, Martin Kersner, Beomsu Kim, Seokjun Seo, and Dongyoung Kim · 2020
Closest in time.
Improving deep video compression by resolution-adaptive flow coding
Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, and Shuhang Gu · 2020
Closest in time.
Analyzing and improving the image quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
Closest in time.
M-lvc: Multiple frames prediction for learned video compression
Jianping Lin, Dong Liu, Houqiang Li, and Feng Wu · 2020
Closest in time.
Deep image spatial transformation for person image generation
Yurui Ren, Xiaoming Yu, Junming Chen, Thomas H Li, and Ge Li · 2020
Closest in time.
Encoding in style: a stylegan encoder for image-to-image translation
Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, and Daniel Cohen-Or · 2020
Closest in time.
StyleRig: Rigging StyleGAN for 3d control over portrait images
Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zöllhofer, and Christian Theobalt · 2020
Closest in time.
Fast bi-layer neural synthesis of one-shot realistic head avatars
Egor Zakharov, Aleksei Ivakhnenko, Aliaksandra Shysheya, and Victor Lempitsky · 2020
Closest in time.
Davd-net: Deep audio-aided video decompression of talking heads
Xi Zhang, Xiaolin Wu, Xinliang Zhai, Xianye Ben, and Chengjie Tu · 2020
Closest in time.
Rotate-and-render: Unsupervised photorealistic face rotation from single-view images
Hang Zhou, Jihao Liu, Ziwei Liu, Yu Liu, and Xiaogang Wang · 2020
Closest in time.
Generative adversarial networks for image and video synthesis: Algorithms and applications
Ming-Yu Liu, Xun Huang, Jiahui Yu, Ting-Chun Wang, and Arun Mallya · 2021
Closest in time.