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Recent advances in Generative Adversarial Networks (GANs) have shown increasing success in generating photorealistic images.
The fréchet distance between multivariate normal distributions
DC Dowson and BV Landau · 1982
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The laplacian pyramid as a compact image code
Peter Burt and Edward Adelson · 1983
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Low-dimensional procedure for the characterization of human faces
Lawrence Sirovich and Michael Kirby · 1987
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Multimedia data-embedding and watermarking technologies
Mitchell D Swanson, Mei Kobayashi, and Ahmed H Tewfik · 1998
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Watermarking digital image and video data. a state-of-the-art overview
Gerhard C Langelaar, Iwan Setyawan, and Reginald L Lagendijk · 2000
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Digital camera identification from sensor pattern noise
Jan Lukas, Jessica Fridrich, and Miroslav Goljan · 2006
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Determining image origin and integrity using sensor noise
Mo Chen, Jessica Fridrich, Miroslav Goljan, and Jan Lukás · 2008
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Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton · 2008
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A survey of modern authorship attribution methods
Efstathios Stamatatos · 2009
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Digital image forensics: there is more to a picture than meets the eye
Jessica Fridrich · 2012
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Rich models for steganalysis of digital images
Jessica Fridrich and Jan Kodovsky · 2012
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Local tampering detection in video sequences
Paolo Bestagini, Simone Milani, Marco Tagliasacchi, and Stefano Tubaro · 2013
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Digital image forensics
Husrev Taha Sencar and Nasir Memon · 2013
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Doppelgänger finder: Taking stylometry to the underground
Sadia Afroz, Aylin Caliskan Islam, Ariel Stolerman, Rachel Greenstadt, and Damon McCoy · 2014
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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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Caffe: Convolutional architecture for fast feature embedding
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell · 2014
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A survey of digital watermarking techniques and its applications
Lalit Kumar Saini and Vishal Shrivastava · 2014
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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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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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Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop
Fisher Yu, Ari Seff, Yinda Zhang, Shuran Song, Thomas Funkhouser, and Jianxiong Xiao · 2015
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A deep learning approach to universal image manipulation detection using a new convolutional layer
Belhassen Bayar and Matthew C Stamm · 2016
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Photo forensics
Hany Farid · 2016
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A primer on neural network models for natural language processing
Yoav Goldberg · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Precomputed real-time texture synthesis with markovian generative adversarial networks
Chuan Li and Michael Wand · 2016
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Improved techniques for training gans
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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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 aging with conditional generative adversarial networks
Grigory Antipov, Moez Baccouche, and Jean-Luc Dugelay · 2017
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Wasserstein generative adversarial networks
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
Forensictransfer: Weakly-supervised domain adaptation for forgery detection
Davide Cozzolino, Justus Thies, Andreas Rössler, Christian Riess, Matthias Nießner, and Luisa Verdoliva · 2018
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Noiseprint: a cnn-based camera model fingerprint
Davide Cozzolino and Luisa Verdoliva · 2018
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Fighting fake news: Image splice detection via learned self-consistency
Minyoung Huh, Andrew Liu, Andrew Owens, and Alexei A Efros · 2018
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Progressive growing of GANs for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
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Detection of gan-generated fake images over social networks
Francesco Marra, Diego Gragnaniello, Davide Cozzolino, and Luisa Verdoliva · 2018
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Exploiting spatial structure for localizing manipulated image regions
Jawadul H Bappy, Amit K Roy-Chowdhury, Jason Bunk, Lakshmanan Nataraj, and BS Manjunath · 2017
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The cramer distance as a solution to biased wasserstein gradients
Marc G Bellemare, Ivo Danihelka, Will Dabney, Shakir Mohamed, Balaji Lakshminarayanan, Stephan Hoyer, and Rémi Munos · 2017
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Learning texture manifolds with the periodic spatial gan
Urs Bergmann, Nikolay Jetchev, and Roland Vollgraf · 2017
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Tampering detection and localization through clustering of camera-based cnn features
Luca Bondi, Silvia Lameri, David Guera, Paolo Bestagini, Edward J Delp, Stefano Tubaro, et al · 2017
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Recasting residual-based local descriptors as convolutional neural networks: an application to image forgery detection
Davide Cozzolino, Giovanni Poggi, and Luisa Verdoliva · 2017
Cited alongside, same era.
Improved training of wasserstein gans
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville · 2017
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Spectral normalization for generative adversarial networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
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Fake faces identification via convolutional neural network
Huaxiao Mo, Bolin Chen, and Weiqi Luo · 2018
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Towards reverse-engineering black-box neural networks
Seong Joon Oh, Max Augustin, Bernt Schiele, and Mario Fritz · 2018
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Faceforensics: A large-scale video dataset for forgery detection in human faces
Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Nießner · 2018
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Sfsnet: Learning shape, reflectance and illuminance of facesin the wild’
Soumyadip Sengupta, Angjoo Kanazawa, Carlos D Castillo, and David W Jacobs · 2018
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Detecting both machine and human created fake face images in the wild
Shahroz Tariq, Sangyup Lee, Hoyoung Kim, Youjin Shin, and Simon S Woo · 2018
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Protecting intellectual property of deep neural networks with watermarking
Jialong Zhang, Zhongshu Gu, Jiyong Jang, Hui Wu, Marc Ph Stoecklin, Heqing Huang, and Ian Molloy · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Learning rich features for image manipulation detection
Peng Zhou, Xintong Han, Vlad I Morariu, and Larry S Davis · 2018
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Non-stationary texture synthesis by adversarial expansion
Yang Zhou, Zhen Zhu, Xiang Bai, Dani Lischinski, Daniel Cohen-Or, and Hui Huang · 2018
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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
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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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Large scale GAN training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
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A patchmatch-based dense-field algorithm for video copy–move detection and localization
Luca D’Amiano, Davide Cozzolino, Giovanni Poggi, and Luisa Verdoliva · 2019
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Do gans leave artificial fingerprints?
Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, and Giovanni Poggi · 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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Texture mixer: A network for controllable synthesis and interpolation of texture
Ning Yu, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, and Michal Lukac · 2019
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