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In the last few years, generative adversarial networks (GAN) have shown tremendous potential for a number of applications in computer vision and related fields.
Digital camera identification from sensor pattern noise
J. Lukàš, J. Fridrich, and M. Goljan · 2006
Earlier work this paper cites.
Determining image origin and integrity using sensor noise
M. Chen, J. Fridrich, M. Goljan, and J. Lukàš · 2008
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RAISE: a raw images dataset for digital image forensics
D. Dang-Nguyen, C. Pasquini, V. Conotter, and G. Boato · 2015
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Photo Forensics
H. Farid · 2016
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Improved Techniques for Training GANs
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
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Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
J. Thies, M. Zollhöfer, M. Stamminger, C. Theobalt, and M. Nießner · 2016
Earlier work this paper cites.
BEGAN: Boundary Equilibrium Generative Adversarial Networks
D. Berthelot, T. Schumm, and L. Metz · 2017
Earlier work this paper cites.
Improved Training of Wasserstein GANs
I. Gulrajani, F. Ahmed, M. Arjovsky, V. Dumoulin, and A. Courville · 2017
Earlier work this paper cites.
Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
Cited alongside, same era.
Unsupervised image-to-image translation networks
M.-Y. Liu, T. Breuel, and J. Kautz · 2017
Cited alongside, same era.
Unpaired image-to-image translation using cycle-consistent adversarial networks
J. Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
Cited alongside, same era.
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Y. Choi, M. Choi, M. Kim, J.-W. Ha, S. Kim, and J. Choo · 2018
Cited alongside, same era.
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection
D. Cozzolino, J. Thies, A. Rössler, C. Riess, and L. Verdoliva · 2018
Cited alongside, same era.
Detection of GAN-Generated Fake Images over Social Networks
F. Marra, D. Gragnaniello, G. Poggi, and L. Verdoliva · 2018
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Detecting GAN-generated Imagery using Color Cues
S. McCloskey and M. Albright · 2018
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Fake Faces Identification via Convolutional Neural Network
H. Mo, B. Chen, and W. Luo · 2018
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Media Forensics Challenge
National Institute of Standards and Technology · 2018
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Detecting both machine and human created fake face images in the wild
S. Tariq, S. Lee, H. Kim, Y. Shin, and S. Woo · 2018
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Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images
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D. Cozzolino and L. Verdoliva · 2018
Cited alongside, same era.
Progressive Growing of GANs for Improved Quality, Stability, and Variation
T. Karras, T. Aila, S. Laine, and J. Lehtinen · 2018
Cited alongside, same era.
Detection of deep network generated images using disparities in color components
H. Li, B. Li, S. Tan, and J. Huang · 2018
Cited alongside, same era.
N. Yu, L. Davis, and M. Fritz · 2018
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Exploiting visual artifacts to expose deepfakes and face manipulations
F. Matern, C. Riess, and M. Stamminger · 2019
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