Fast Face-swap Using Convolutional Neural Networks

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Peng, B., Fan, H., Wang, W., Dong, J., & Lyu, S.. (2021). A Unified Framework for High Fidelity Face Swap and Expression Reenactment. IEEE Transactions on Circuits and Systems for Video Technology

Plain numerical DOI: 10.1109/TCSVT.2021.3106047
DOI URL
directSciHub download

Zhang, W., Zhao, C., & Li, Y.. (2020). A novel counterfeit feature extraction technique for exposing face-swap images based on deep learning and error level analysis. Entropy

Plain numerical DOI: 10.3390/e22020249
DOI URL
directSciHub download

Korshunova, I., Shi, W., Dambre, J., & Theis, L.. (2017). Fast Face-Swap Using Convolutional Neural Networks. In Proceedings of the IEEE International Conference on Computer Vision

Plain numerical DOI: 10.1109/ICCV.2017.397
DOI URL
directSciHub download

Senses, M., & Topal, C.. (2019). Real time face swap based on patch warping. In 27th Signal Processing and Communications Applications Conference, SIU 2019

Plain numerical DOI: 10.1109/SIU.2019.8806397
DOI URL
directSciHub download

Mahajan, S., Chen, L. J., & Tsai, T. C.. (2017). SwapItUp: A face swap application for privacy protection. In Proceedings – International Conference on Advanced Information Networking and Applications, AINA

Plain numerical DOI: 10.1109/AINA.2017.53
DOI URL
directSciHub download

Sadu, C., & Das, P. K.. (2020). Swapping face images based on augmented facial landmarks and its detection. In IEEE Region 10 Annual International Conference, Proceedings/TENCON

Plain numerical DOI: 10.1109/TENCON50793.2020.9293884
DOI URL
directSciHub download

Zhao, Y., Tang, F., Dong, W., Huang, F., & Zhang, X.. (2019). Joint face alignment and segmentation via deep multi-task learning. Multimedia Tools and Applications

Plain numerical DOI: 10.1007/s11042-018-5609-1
DOI URL
directSciHub download

Chawla, R.. (2019). Deepfakes: How a pervert shook the world. International Journal of Advance Research and Development
Jiang, J., Li, B., Wei, B., Li, G., Liu, C., Huang, W., … Yu, M.. (2021). FakeFilter: A cross-distribution Deepfake detection system with domain adaptation. Journal of Computer Security

Plain numerical DOI: 10.3233/JCS-200124
DOI URL
directSciHub download

Mirsky, Y., & Lee, W.. (2021). The Creation and Detection of Deepfakes. ACM Computing Surveys

Plain numerical DOI: 10.1145/3425780
DOI URL
directSciHub download

Zhang, W., & Zhao, C.. (2019). Exposing Face-Swap Images Based on Deep Learning and ELA Detection. Proceedings

Plain numerical DOI: 10.3390/ecea-5-06684
DOI URL
directSciHub download

Yan, S., He, S., Lei, X., Ye, G., & Xie, Z.. (2018). Video Face Swap Based on Autoencoder Generation Network. In ICALIP 2018 – 6th International Conference on Audio, Language and Image Processing

Plain numerical DOI: 10.1109/ICALIP.2018.8455775
DOI URL
directSciHub download

Skibba, R.. (2020). Accuracy Eludes Competitors in Facebook Deepfake Detection Challenge. Engineering

Plain numerical DOI: 10.1016/j.eng.2020.10.008
DOI URL
directSciHub download

Wöhler, L., Henningson, J. O., Castillo, S., & Magnor, M.. (2020). PEFS: A Validated Dataset for Perceptual Experiments on Face Swap Portrait Videos. In Communications in Computer and Information Science

Plain numerical DOI: 10.1007/978-3-030-63426-1_13
DOI URL
directSciHub download

Bode, L., Lees, D., & Golding, D.. (2021). The Digital Face and Deepfakes on Screen. Convergence

Plain numerical DOI: 10.1177/13548565211034044
DOI URL
directSciHub download

Cole, S.. (2018). We Are Truly Fucked: Everyone Is Making AI-Generated Fake Porn Now. Motherboard
Tolosana, R., Vera-Rodriguez, R., Fierrez, J., Morales, A., & Ortega-Garcia, J.. (2020). Deepfakes and beyond: A Survey of face manipulation and fake detection. Information Fusion

Plain numerical DOI: 10.1016/j.inffus.2020.06.014
DOI URL
directSciHub download

Baek, J. Y., Yoo, Y. S., & Bae, S. H.. (2020). Generative Adversarial Ensemble Learning for Face Forensics. IEEE Access

Plain numerical DOI: 10.1109/ACCESS.2020.2968612
DOI URL
directSciHub download

Kaur, S., Kumar, P., & Kumaraguru, P.. (2020). Deepfakes: temporal sequential analysis to detect face-swapped video clips using convolutional long short-term memory. Journal of Electronic Imaging

Plain numerical DOI: 10.1117/1.jei.29.3.033013
DOI URL
directSciHub download

Gu, S., Bao, J., Yang, H., Chen, D., Wen, F., & Yuan, L.. (2019). Mask-guided portrait editing with conditional gans. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Plain numerical DOI: 10.1109/CVPR.2019.00355
DOI URL
directSciHub download

Wen, L., & Xu, D.. (2019). Face Image Manipulation Detection. In IOP Conference Series: Materials Science and Engineering

Plain numerical DOI: 10.1088/1757-899X/533/1/012054
DOI URL
directSciHub download

Guera, D., & Delp, E. J.. (2019). Deepfake Video Detection Using Recurrent Neural Networks. In Proceedings of AVSS 2018 – 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance

Plain numerical DOI: 10.1109/AVSS.2018.8639163
DOI URL
directSciHub download

Hashmi, M. F., Ashish, B. K. K., Keskar, A. G., Bokde, N. D., Yoon, J. H., & Geem, Z. W.. (2020). An Exploratory Analysis on Visual Counterfeits Using Conv-LSTM Hybrid Architecture. IEEE Access

Plain numerical DOI: 10.1109/ACCESS.2020.2998330
DOI URL
directSciHub download

Nagarajan, A., & Soghrati, S.. (2018). Conforming to interface structured adaptive mesh refinement: 3D algorithm and implementation. Computational Mechanics

Plain numerical DOI: 10.1007/s00466-018-1560-2
DOI URL
directSciHub download

Gerstner, E.. (2020). Face/off:” DeepFake” face swaps and privacy laws. Def. Counsel J.

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