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Benefiting from the development of generative adversarial networks (GAN), facial manipulation has achieved significant progress in both academia and industry recently.
Faceforensics++: Learning to detect manipulated facial images
Rössler, A.; Cozzolino, D.; Verdoliva, L.; Riess, C.; Thies, J.; and Nießner, M. 2019 · 1901
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Use of a capsule network to detect fake images and videos
Nguyen, H. H.; Yamagishi, J.; and Echizen, I. 2019 · 1910
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Ruiz, N.; Bargal, S. A.; and Sclaroff, S. 2020 · 2003
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Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues
Qian, Y.; Yin, G.; Sheng, L.; Chen, Z.; and Shao, J. 2020 · 2007
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A Completed Modeling of Local Binary Pattern Operator for Texture Classification
Guo, Z.; Zhang, L.; and Zhang, D. 2010 · 2010
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Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor
Zhang, B.; Gao, Y.; Zhao, S.; and Liu, J. 2010 · 2010
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Deep Learning Face Attributes in the Wild
Liu, Z.; Luo, P.; Wang, X.; and Tang, X. 2015 · 2015
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U-Net: Convolutional Networks for Biomedical Image Segmentation
Ronneberger, O.; Fischer, P.; and Brox, T. 2015 · 2015
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Perceptual losses for real-time style transfer and super-resolution
Johnson, J.; Alahi, A.; and Fei-Fei, L. 2016 · 2016
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Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
Thies, J.; Zollhofer, M.; Stamminger, M.; Theobalt, C.; and Niebner, M. 2016 · 2016
Earlier work this paper cites.
Wasserstein Generative Adversarial Networks
Arjovsky, M.; Chintala, S.; and Bottou, L. 2017 · 2017
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Improved Training of Wasserstein GANs
Gulrajani, I.; Ahmed, F.; Arjovsky, M.; Dumoulin, V.; and Courville, A. 2017 · 2017
Cited alongside, same era.
Two-stream neural networks for tampered face detection
Han, X.; Morariu, V.; Larry Davis, P. I.; et al. 2017 · 2017
Cited alongside, same era.
Fast face-swap using convolutional neural networks
Korshunova, I.; Shi, W.; Dambre, J.; and Theis, L. 2017 · 2017
Cited alongside, same era.
Mesonet: a compact facial video forgery detection network
Afchar, D.; Nozick, V.; Yamagishi, J.; and Echizen, I. 2018 · 2018
Cited alongside, same era.
Towards open-set identity preserving face synthesis
Bao, J.; Chen, D.; Wen, F.; Li, H.; and Hua, G. 2018 · 2018
Cited alongside, same era.
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Choi, Y.; Choi, M.; Kim, M.; Ha, J.-W.; Kim, S.; and Choo, J. 2018 · 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Zhang, R.; Isola, P.; Efros, A. A.; Shechtman, E.; and Wang, O. 2018 · 2018
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DeepFakes
DeepFakes. 2017 · 2019
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FaceSwap
FaceSwap. 2017 · 2019
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Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder
Feng, J.; Cai, Q.-Z.; and Zhou, Z.-H. 2019 · 2019
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Exploiting visual artifacts to expose deepfakes and face manipulations
Matern, F.; Riess, C.; and Stamminger, M. 2019 · 2019
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FSGAN: Subject agnostic face swapping and reenactment
Nirkin, Y.; Keller, Y.; and Hassner, T. 2019 · 2019
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Cited alongside, same era.
Deep video portraits
Kim, H.; Garrido, P.; Tewari, A.; Xu, W.; Thies, J.; Niessner, M.; Pérez, P.; Richardt, C.; Zollhöfer, M.; and Theobalt, C. 2018 · 2018
Cited alongside, same era.
Rsgan: face swapping and editing using face and hair representation in latent spaces
Natsume, R.; Yatagawa, T.; and Morishima, S. 2018 · 2018
Cited alongside, same era.
Reenactgan: Learning to reenact faces via boundary transfer
Wu, W.; Zhang, Y.; Li, C.; Qian, C.; and Change Loy, C. 2018 · 2018
Cited alongside, same era.
BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation
Yu, C.; Wang, J.; Peng, C.; Gao, C.; Yu, G.; and Sang, N. 2018 · 2018
Cited alongside, same era.
GANimation: One-Shot Anatomically Consistent Facial Animation
Pumarola, A.; Agudo, A.; Martinez, A.; Sanfeliu, A.; and Moreno-Noguer, F. 2019 · 2019
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On the detection of digital face manipulation
Dang, H.; Liu, F.; Stehouwer, J.; Liu, X.; and Jain, A. K. 2020 · 2020
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Face x-ray for more general face forgery detection
Li, L.; Bao, J.; Zhang, T.; Yang, H.; Chen, D.; Wen, F.; and Guo, B. 2020 · 2020
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Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models
Shan, S.; Wenger, E.; Zhang, J.; Li, H.; Zheng, H.; and Zhao, B. Y. 2020 · 2020
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