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Detecting manipulated facial images and videos is an increasingly important topic in digital media forensics.
Video face replacement
Kevin Dale, Kalyan Sunkavalli, Micah K Johnson, Daniel Vlasic, Wojciech Matusik, and Hanspeter Pfister · 2011
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2014
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Stochastic backpropagation and approximate inference in deep generative models
Danilo Jimenez Rezende, Shakir Mohamed, and Daan Wierstra · 2014
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Active object localization with deep reinforcement learning
Juan C Caicedo and Svetlana Lazebnik · 2015
Earlier work this paper cites.
Look and think twice: Capturing top-down visual attention with feedback convolutional neural networks
Chunshui Cao, Xianming Liu, Yi Yang, Yinan Yu, Jiang Wang, Zilei Wang, Yongzhen Huang, Liang Wang, Chang Huang, Wei Xu, et al · 2015
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Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
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Real-time expression transfer for facial reenactment
Justus Thies, Michael Zollhöfer, Matthias Nießner, Levi Valgaerts, Marc Stamminger, and Christian Theobalt · 2015
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The application of two-level attention models in deep convolutional neural network for fine-grained image classification
Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, and Zheng Zhang · 2015
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AttentionNet: Aggregating weak directions for accurate object detection
Donggeun Yoo, Sunggyun Park, Joon-Young Lee, Anthony S Paek, and In So Kweon · 2015
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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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Face anti-spoofing using patch and depth-based CNNs
Yousef Atoum, Yaojie Liu, Amin Jourabloo, and Xiaoming Liu · 2017
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Segnet: A deep convolutional encoder-decoder architecture for image segmentation
Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla · 2017
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Xception: Deep learning with depthwise separable convolutions
François Chollet · 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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Fake news detection on social media: A data mining perspective
Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, and Huan Liu · 2017
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Synthesizing Obama: learning lip sync from audio
Supasorn Suwajanakorn, Steven M Seitz, and Ira Kemelmacher-Shlizerman · 2017
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Disentangled representation learning GAN for pose-invariant face recognition
Luan Tran, Xi Yin, and Xiaoming Liu · 2017
Earlier work this paper cites.
Residual attention network for image classification
Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, and Xiaoou Tang · 2017
Earlier work this paper cites.
Two-stream neural networks for tampered face detection
Peng Zhou, Xintong Han, Vlad I Morariu, and Larry S Davis · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
Cited alongside, same era.
Toward multimodal image-to-image translation
Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A Efros, Oliver Wang, and Eli Shechtman · 2017
Cited alongside, same era.
MesoNet: a compact facial video forgery detection network
Darius Afchar, Vincent Nozick, Junichi Yamagishi, and Isao Echizen · 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.
Stacked dense U-Nets with dual transformers for robust face alignment
Jia Guo, Jiankang Deng, Niannan Xue, and Stefanos Zafeiriou · 2018
Cited alongside, same era.
Squeeze-and-excitation networks
Accessed: 2019-09-04
2019
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https://github.com/deepfakes/faceswap
Deepfakes github · 2019
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https://faceapp.com/app
FaceApp · 2019
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https://apps.apple.com/cn/app/zao/id1465199127
ZAO · 2019
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Protecting world leaders against deep fakes
Shruti Agarwal, Hany Farid, Yuming Gu, Mingming He, Koki Nagano, and Hao Li · 2019
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GAN dissection: Visualizing and understanding generative adversarial networks
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B Tenenbaum, William T Freeman, and Antonio Torralba · 2019
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Attention-based dropout layer for weakly supervised object localization
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Jie Hu, Li Shen, and Gang Sun · 2018
Cited alongside, same era.
Face de-spoofing: Anti-spoofing via noise modeling
Amin Jourabloo, Yaojie Liu, and Xiaoming Liu · 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
Cited alongside, same era.
Deep video portraits
Hyeongwoo Kim, Pablo Carrido, Ayush Tewari, Weipeng Xu, Justus Thies, Matthias Niessner, Patrick Pérez, Christian Richardt, Michael Zollhöfer, and Christian Theobalt · 2018
Cited alongside, same era.
DeepFakes: a new threat to face recognition? assessment and detection
Pavel Korshunov and Sébastien Marcel · 2018
Cited alongside, same era.
Disentangling features in 3D face shapes for joint face reconstruction and recognition
Feng Liu, Ronghang Zhu, Dan Zeng, Qijun Zhao, and Xiaoming Liu · 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.
Junsuk Choe and Hyunjung Shim · 2019
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AdvFaces: Adversarial face synthesis
Debayan Deb, Jianbang Zhang, and Anil K Jain · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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Exposing deepfake videos by detecting face warping artifacts
Yuezun Li and Siwei Lyu · 2019
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Deep tree learning for zero-shot face anti-spoofing
Yaojie Liu, Joel Stehouwer, Amin Jourabloo, and Xiaoming Liu · 2019
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Exploiting visual artifacts to expose deepfakes and face manipulations
Falko Matern, Christian Riess, and Marc Stamminger · 2019
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Multi-task learning for detecting and segmenting manipulated facial images and videos
Huy H Nguyen, Fuming Fang, Junichi Yamagishi, and Isao Echizen · 2019
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FaceForensics++: Learning to detect manipulated facial images
Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Nießner · 2019
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On learning 3D face morphable model from in-the-wild images
Luan Tran and Xiaoming Liu · 2019
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FakeSpotter: A simple baseline for spotting AI-synthesized fake faces
Run Wang, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Jian Wang, and Yang Liu · 2019
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Detecting photoshopped faces by scripting photoshop
Sheng-Yu Wang, Oliver Wang, Andrew Owens, Richard Zhang, and Alexei A Efros · 2019
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Exposing deep fakes using inconsistent head poses
Xin Yang, Yuezun Li, and Siwei Lyu · 2019
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Camera trace erasing
Chang Chen, Zhiwei Xiong, Xiaoming Liu, and Feng Wu · 2020
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Celeb-DF: A new dataset for deepfake forensics
Yuezun Li, Xin Yang, Pu Sun, Honggang Qi, and Siwei Lyu · 2020
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Adversarial attacks and defenses in images, graphs and text: A review
Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, and Anil Jain · 2020
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