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With recent advances in computer vision and graphics, it is now possible to generate videos with extremely realistic synthetic faces, even in real time.
A C3D-based Convolutional Neural Network for Frame Dropping Detection in a Single Video Shot
Long, C., Smith, E., Basharat, A., Hoogs, A.: · 1906
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Detecting facial retouching using supervised deep learning
Bharati, A., Singh, R., Vatsa, M., Bowyer, K.: · 1913
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Video rewrite: Driving visual speech with audio
Bregler, C., Covell, M., Slaney, M.: · 1997
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Rapid object detection using a boosted cascade of simple features
Viola, P., Jones, M.: · 2001
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An introduction to biometric recognition
Jain, A.K., Ross, A., Prabhakar, S.: · 2004
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Exposing Digital Forgeries in Interlaced and Deinterlaced Video
Wang, W., Farid, H.: · 2007
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Role of facial expressions in social interactions
Frith, C.: · 2009
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The ‘Dresden Image Database’ for benchmarking digital image forensics
Gloe, T., Böhme, R.: · 2010
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Video face replacement
Dale, K., Sunkavalli, K., Johnson, M.K., Vlasic, D., Matusik, W., Pfister, H.: · 2011
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A SIFT-based forensic method for copy-move attack detection and transformation recovery
Amerini, I., Ballan, L., Caldelli, R., Del Bimbo, A., Serra, G.: · 2011
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Identify computer generated characters by analysing facial expressions variation
Dang-Nguyen, D.T., Boato, G., De Natale, F.: · 2012
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Counter-forensics: attacking image forensics
Böhme, R., Kirchner, M.: · 2012
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Rich Models for Steganalysis of Digital Images
Fridrich, J., Kodovský, J.: · 2012
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Digital Image Forensics — There is More to a Picture than Meets the Eye
Sencar, H.T., Memon, N.: · 2013
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Local tampering detection in video sequences
Bestagini, P., Milani, S., Tagliasacchi, M., Tubaro, S.: · 2013
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The magic passport
Ferrara, M., Franco, A., Maltoni, D.: · 2014
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Automatic face reenactment
Garrido, P., Valgaerts, L., Rehmsen, O., Thormaehlen, T., Perez, P., Theobalt, C.: · 2014
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3d object manipulation in a single photograph using stock 3d models
Kholgade, N., Simon, T., Efros, A., Sheikh, Y.: · 2014
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A video forensic technique for detection frame deletion and insertion
Gironi, A., Fontani, M., Bianchi, T., Piva, A., Barni, M.: · 2014
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Physiologically-based detection of computer generated faces in video
Conotter, V., Bodnari, E., Boato, G., Farid, H.: · 2014
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Image forgery detection through residual-based local descriptors and block-matching
Cozzolino, D., Gragnaniello, D., L.Verdoliva: · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Kingma, D.P., Ba, J.: · 2014
Cited alongside, same era.
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: · 2014
Cited alongside, same era.
Vdub: Modifying face video of actors for plausible visual alignment to a dubbed audio track
Garrido, P., Valgaerts, L., Sarmadi, H., Steiner, I., Varanasi, K., Perez, P., Theobalt, C.: · 2015
Cited alongside, same era.
Real-time expression transfer for facial reenactment
Thies, J., Zollhöfer, M., Nießner, M., Valgaerts, L., Stamminger, M., Theobalt, C.: · 2015
Cited alongside, same era.
Huang, R., Zhang, S., Li, T., He, R.: · 2017
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Conditional cyclegan for attribute guided face image generation
Lu, Y., Tai, Y., Tang, C.: · 2017
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Fader networks: Manipulating images by sliding attributes
Lample, G., Zeghidour, N., Usunier, N., Bordes, A., Denoyer, L., Ranzato, M.: · 2017
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Progressive Growing of GANs for Improved Quality, Stability, and Variation
Karras, T., Aila, T., Laine, S., Lehtinen, J.: · 2017
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Recasting residual-based local descriptors as convolutional neural networks: an application to image forgery detection
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Detecting image splicing in the wild (Web)
Zampoglou, M., Papadopoulos, S., , Kompatsiaris, Y.: · 2015
Cited alongside, same era.
CFA-aware features for steganalysis of color images
Goljan, M., Fridrich, J.: · 2015
Cited alongside, same era.
Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
Thies, J., Zollhöfer, M., Stamminger, M., Theobalt, C., Nießner, M.: · 2016
Cited alongside, same era.
Physically based video editing
Bazin, J.C., Yu, G., Martin, T., Jacobson, A., Gross, M., et al.: · 2016
Cited alongside, same era.
Deep feature interpolation for image content changes
Upchurch, P., Gardner, J.R., Bala, K., Pless, R., Snavely, N., Weinberger, K.Q.: · 2016
Cited alongside, same era.
Photo Forensics
Farid, H.: · 2016
Cited alongside, same era.
A deep learning approach to universal image manipulation detection using a new convolutional layer
Bayar, B., Stamm, M.: · 2016
Cited alongside, same era.
Cozzolino, D., Poggi, G., Verdoliva, L.: · 2017
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Tampering Detection and Localization through Clustering of Camera-Based CNN Features
Bondi, L., Lameri, S., Güera, D., Bestagini, P., Delp, E., Tubaro, S.: · 2017
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Exploiting spatial structure for localizing manipulated image regions
Bappy, J., Roy-Chowdhury, A., Bunk, J., Nataraj, L., Manjunath, B.: · 2017
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Identification of Motion-Compensated Frame Rate Up-Conversion Based on Residual Signal
Ding, X., Gaobo, Y., Li, R., Zhang, L., Li, Y., Sun, X.: · 2017
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Residual-based forensic comparison of video sequences
Mullan, P., Cozzolino, D., Verdoliva, L., Riess, C.: · 2017
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Distinguishing computer graphics from natural images using convolution neural networks
Rahmouni, N., Nozick, V., Yamagishi, J., Echizeny, I.: · 2017
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Transferable Deep-CNN features for detecting digital and print-scanned morphed face images
Raghavendra, R., Raja, K., Venkatesh, S., Busch, C.: · 2017
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Two-stream neural networks for tampered face detection
Zhou, P., Han, X., Morariu, V., Davis, L.: · 2017
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VISION: a video and image dataset for source identification
Shullani, D., Fontani, M., Iuliani, M., Al Shaya, O., Piva, A.: · 2017
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Multi-scale Analysis Strategies in PRNU-based Tampering Localization
Korus, P., Huang, J.: · 2017
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Nimble Challenge 2017 Evaluation
Fiscus, J.G., Guan, H., Lee, Y., Yates, A.N., Delgado, A.P., Zhou, D.F., Kheyrkhah, T.N.: · 2017
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Xception: Deep Learning with Depthwise Separable Convolutions
Chollet, F.: · 2017
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VGGFace2: A dataset for recognising faces across pose and age
Cao, Q., Shen, L., Xie, W., Parkhi, O.M., Zisserman, A.: · 2017
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Facevr: Real-time gaze-aware facial reenactment in virtual reality
Thies, J., Zollhöfer, M., Stamminger, M., Theobalt, C., Nießner, M.: · 2018
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A PatchMatch-based Dense-field Algorithm for Video Copy-Move Detection and Localization
D’Amiano, L., Cozzolino, D., Poggi, G., Verdoliva, L.: · 2018
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Deep learning for detecting processing history of images
Boroumand, M., Fridrich, J.: · 2018
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