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A critical yet frequently overlooked challenge in the field of deepfake detection is the lack of a standardized, unified, comprehensive benchmark.
Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton · 2008
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Spatial pyramid pooling in deep convolutional networks for visual recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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300 faces in-the-wild challenge: Database and results
Christos Sagonas, Epameinondas Antonakos, Georgios Tzimiropoulos, Stefanos Zafeiriou, and Maja Pantic · 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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Xception: Deep learning with depthwise separable convolutions
François Chollet · 2017
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Dynamic routing between capsules
Sara Sabour, Nicholas Frosst, and Geoffrey E Hinton · 2017
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Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
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Two-stream neural networks for tampered face detection
Peng Zhou, Xintong Han, Vlad I. Morariu, and Larry S. Davis · 2017
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Mesonet: a compact facial video forgery detection network
Darius Afchar, Vincent Nozick, Junichi Yamagishi, and Isao Echizen · 2018
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In ictu oculi: Exposing ai created fake videos by detecting eye blinking
Yuezun Li, Ming-Ching Chang, and Siwei Lyu · 2018
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Exposing deepfake videos by detecting face warping artifacts
Yuezun Li and Siwei Lyu · 2018
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The deepfake detection challenge (dfdc) preview dataset
Brian Dolhansky, Russ Howes, Ben Pflaum, Nicole Baram, and Cristian Canton Ferrer · 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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Capsule-forensics: Using capsule networks to detect forged images and videos
Huy H Nguyen, Junichi Yamagishi, and Isao Echizen · 2019
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Faceforensics++: Learning to detect manipulated facial images
Andreas Rossler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Nießner · 2019
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Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc Le · 2019
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Deferred neural rendering: Image synthesis using neural textures
Justus Thies, Michael Zollhöfer, and Matthias Nießner · 2019
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The emergence of deepfake technology: A review
Mika Westerlund · 2019
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Exposing deep fakes using inconsistent head poses
Xin Yang, Yuezun Li, and Siwei Lyu · 2019
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On the detection of digital face manipulation
Hao Dang, Feng Liu, Joel Stehouwer, Xiaoming Liu, and Anil K Jain · 2020
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The deepfake detection challenge dataset
Brian Dolhansky, Joanna Bitton, Ben Pflaum, Jikuo Lu, Russ Howes, Menglin Wang, and Cristian Canton Ferrer · 2020
https://ai.googleblog.com/2019/09/contributing-data-to-deepfake-detection.html Accessed 2021-04-24
DFD · 2021
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www.github.com/MarekKowalski/FaceSwap Accessed 2021-04-24
FaceSwap · 2021
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Spatial-phase shallow learning: rethinking face forgery detection in frequency domain
Honggu Liu, Xiaodan Li, Wenbo Zhou, Yuefeng Chen, Yuan He, Hui Xue, Weiming Zhang, and Nenghai Yu · 2021
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Generalizing face forgery detection with high-frequency features
Yuchen Luo, Yong Zhang, Junchi Yan, and Wei Liu · 2021
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Representative forgery mining for fake face detection
Chengrui Wang and Weihong Deng · 2021
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Multi-attentional deepfake detection
Hanqing Zhao, Wenbo Zhou, Dongdong Chen, Tianyi Wei, Weiming Zhang, and Nenghai Yu · 2021
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Watch your up-convolution: Cnn based generative deep neural networks are failing to reproduce spectral distributions
Ricard Durall, Margret Keuper, and Janis Keuper · 2020
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Deeperforensics-1.0: A large-scale dataset for real-world face forgery detection
Liming Jiang, Ren Li, Wayne Wu, Chen Qian, and Chen Change Loy · 2020
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Advancing high fidelity identity swapping for forgery detection
Lingzhi Li, Jianmin Bao, Hao Yang, Dong Chen, and Fang Wen · 2020
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Face x-ray for more general face forgery detection
Lingzhi Li, Jianmin Bao, Ting Zhang, Hao Yang, Dong Chen, Fang Wen, and Baining Guo · 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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Deepfacelab: A simple, flexible and extensible face swapping framework
Ivan Perov, Daiheng Gao, Nikolay Chervoniy, Kunlin Liu, Sugasa Marangonda, Chris Umé, Mr Dpfks, Carl Shift Facenheim, Luis RP, Jian Jiang, et al · 2020
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End-to-end reconstruction-classification learning for face forgery detection
Junyi Cao, Chao Ma, Taiping Yao, Shen Chen, Shouhong Ding, and Xiaokang Yang · 2022
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Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection
Liang Chen, Yong Zhang, Yibing Song, Lingqiao Liu, and Jue Wang · 2022
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Ost: Improving generalization of deepfake detection via one-shot test-time training
Liang Chen, Yong Zhang, Yibing Song, Jue Wang, and Lingqiao Liu · 2022
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Exploring disentangled content information for face forgery detection
Jiahao Liang, Huafeng Shi, and Weihong Deng · 2022
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Towards benchmarking and evaluating deepfake detection
Chenhao Lin, Jingyi Deng, Pengbin Hu, Chao Shen, Qian Wang, and Qi Li · 2022
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Core: Consistent representation learning for face forgery detection
Yunsheng Ni, Depu Meng, Changqian Yu, Chengbin Quan, Dongchun Ren, and Youjian Zhao · 2022
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Detecting deepfakes with self-blended images
Kaede Shiohara and Toshihiko Yamasaki · 2022
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M2tr: Multi-modal multi-scale transformers for deepfake detection
Junke Wang, Zuxuan Wu, Wenhao Ouyang, Xintong Han, Jingjing Chen, Yu-Gang Jiang, and Ser-Nam Li · 2022
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Implicit identity leakage: The stumbling block to improving deepfake detection generalization
Shichao Dong, Jin Wang, Renhe Ji, Jiajun Liang, Haoqiang Fan, and Zheng Ge · 2023
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A continual deepfake detection benchmark: Dataset, methods, and essentials
Chuqiao Li, Zhiwu Huang, Danda Pani Paudel, Yabin Wang, Mohamad Shahbazi, Xiaopeng Hong, and Luc Van Gool · 2023
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Ucf: Uncovering common features for generalizable deepfake detection
Zhiyuan Yan, Yong Zhang, Yanbo Fan, and Baoyuan Wu · 2023
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Genimage: A million-scale benchmark for detecting ai-generated image
Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, and Yunhe Wang · 2023
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