Fetching the paper…
Reading the bibliography…
In this paper we propose a novel image representation called face X-ray for detecting forgery in face images.
Color transfer between images
Erik Reinhard, Michael Adhikhmin, Bruce Gooch, and Peter Shirley · 2001
Earlier work this paper cites.
Poisson image editing
Patrick Pérez, Michel Gangnet, and Andrew Blake · 2003
Earlier work this paper cites.
A picture’s worth…
Neal Krawetz and Hacker Factor Solutions · 2007
Earlier work this paper cites.
Image forgery detection–a survey
Hany Farid · 2009
Earlier work this paper cites.
Image forgery localization via block-grained analysis of jpeg artifacts
Tiziano Bianchi and Alessandro Piva · 2012
Earlier work this paper cites.
Image forgery localization via fine-grained analysis of cfa artifacts
Pasquale Ferrara, Tiziano Bianchi, Alessia De Rosa, and Alessandro Piva · 2012
Earlier work this paper cites.
Rich models for steganalysis of digital images
Jessica Fridrich and Jan Kodovsky · 2012
Earlier work this paper cites.
Exposing image splicing with inconsistent local noise variances
Xunyu Pan, Xing Zhang, and Siwei Lyu · 2012
Earlier work this paper cites.
Rotation invariant localization of duplicated image regions based on zernike moments
Seung-Jin Ryu, Matthias Kirchner, Min-Jeong Lee, and Heung-Kyu Lee · 2013
Earlier work this paper cites.
Joint cascade face detection and alignment
Dong Chen, Shaoqing Ren, Yichen Wei, Xudong Cao, and Jian Sun · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Cfa-aware features for steganalysis of color images
Miroslav Goljan and Jessica Fridrich · 2015
Earlier work this paper cites.
A deep learning approach to universal image manipulation detection using a new convolutional layer
Belhassen Bayar and Matthew C Stamm · 2016
Earlier work this paper cites.
Digital image forensics vs. image composition: An indirect arms race
Victor Schetinger, Massimo Iuliani, Alessandro Piva, and Manuel M Oliveira · 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.
Exploiting spatial structure for localizing manipulated image regions
Jawadul H Bappy, Amit K Roy-Chowdhury, Jason Bunk, Lakshmanan Nataraj, and BS Manjunath · 2017
Earlier work this paper cites.
Recasting residual-based local descriptors as convolutional neural networks: an application to image forgery detection
Davide Cozzolino, Giovanni Poggi, and Luisa Verdoliva · 2017
Earlier work this paper cites.
Distinguishing computer graphics from natural images using convolution neural networks
Nicolas Rahmouni, Vincent Nozick, Junichi Yamagishi, and Isao Echizen · 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.
Forensictransfer: Weakly-supervised domain adaptation for forgery detection
Davide Cozzolino, Justus Thies, Andreas Rössler, Christian Riess, Matthias Nießner, and Luisa Verdoliva · 2018
Cited alongside, same era.
Learning to detect fake face images in the wild
Chih-Chung Hsu, Chia-Yen Lee, and Yi-Xiu Zhuang · 2018
Cited alongside, same era.
Fake face detection methods: Can they be generalized?
Ali Khodabakhsh, Raghavendra Ramachandra, Kiran Raja, Pankaj Wasnik, and Christoph Busch · 2018
Cited alongside, same era.
Swapped face detection using deep learning and subjective assessment
Xinyi Ding, Zohreh Raziei, Eric C Larson, Eli V Olinick, Paul Krueger, and Michael Hahsler · 2019
Closest in time.
Towards generalizable forgery detection with locality-aware autoencoder
Mengnan Du, Shiva Pentyala, Yuening Li, and Xia Hu · 2019
Closest in time.
Celeb-df: A new dataset for deepfake forensics
Yuezun Li, Xin Yang, Pu Sun, Honggang Qi, and Siwei Lyu · 2019
Closest in time.
Do gans leave artificial fingerprints?
Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, and Giovanni Poggi · 2019
Closest in time.
Incremental learning for the detection and classification of gan-generated images
Francesco Marra, Cristiano Saltori, Giulia Boato, and Luisa Verdoliva · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Haodong Li, Bin Li, Shunquan Tan, and Jiwu Huang · 2018
Cited alongside, same era.
Exposing deepfake videos by detecting face warping artifacts
Yuezun Li and Siwei Lyu · 2018
Cited alongside, same era.
Detection of gan-generated fake images over social networks
Francesco Marra, Diego Gragnaniello, Davide Cozzolino, and Luisa Verdoliva · 2018
Cited alongside, same era.
Fake faces identification via convolutional neural network
Huaxiao Mo, Bolin Chen, and Weiqi Luo · 2018
Cited alongside, same era.
Distinguishing between natural and computer-generated images using convolutional neural networks
Weize Quan, Kai Wang, Dong-Ming Yan, and Xiaopeng Zhang · 2018
Cited alongside, same era.
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
Cited alongside, same era.
Image splicing localization using a multi-task fully convolutional network (mfcn)
Ronald Salloum, Yuzhuo Ren, and C-C Jay Kuo · 2018
Cited alongside, same era.
Closest in time.
Multi-task learning for detecting and segmenting manipulated facial images and videos
Huy H Nguyen, Fuming Fang, Junichi Yamagishi, and Isao Echizen · 2019
Closest in time.
Faceforensics++: Learning to detect manipulated facial images
Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Nießner · 2019
Closest in time.
Complement face forensic detection and localization with faciallandmarks
Kritaphat Songsri-in and Stefanos Zafeiriou · 2019
Closest in time.
On the detection of digital face manipulation
Joel Stehouwer, Hao Dang, Feng Liu, Xiaoming Liu, and Anil Jain · 2019
Closest in time.
Deep high-resolution representation learning for human pose estimation
Ke Sun, Bin Xiao, Dong Liu, and Jingdong Wang · 2019
Closest in time.
High-resolution representations for labeling pixels and regions
Ke Sun, Yang Zhao, Borui Jiang, Tianheng Cheng, Bin Xiao, Dong Liu, Yadong Mu, Xinggang Wang, Wenyu Liu, and Jingdong Wang · 2019
Closest in time.
Deferred neural rendering: Image synthesis using neural textures
Justus Thies, Michael Zollhöfer, and Matthias Nießner · 2019
Closest in time.
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
Closest in time.
Gp-gan: Towards realistic high-resolution image blending
Huikai Wu, Shuai Zheng, Junge Zhang, and Kaiqi Huang · 2019
Closest in time.
On the generalization of gan image forensics
Xinsheng Xuan, Bo Peng, Wei Wang, and Jing Dong · 2019
Closest in time.
Attributing fake images to gans: Learning and analyzing gan fingerprints
Ning Yu, Larry S Davis, and Mario Fritz · 2019
Closest in time.