With recent advances in computer vision and graphics, it is now possible to generate videos with extremely realistic synthetic faces, even in real time. Our paper checks the realism of the videos, what are the parameters of detection fake videos, is high quality or low quality videos need different approach. This paper model for detecting fake or synthesis videos is generalize and can be trained for any type of videos.
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FakeVideoDetection is an ambitious tool that allows to detect fake videos using the best algorithms, LSTM, RNN, 3D-CNN. Currently, our tool can detect fake faces from the videos from youtube and video files that use FaceSwap, Face2Face or DeepFakes as algorithm to create fake content. We use advanced researches on this topic to get this target.
Shobhit0403/FakeVideoDetection
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FakeVideoDetection is an ambitious tool that allows to detect fake videos using the best algorithms, LSTM, RNN, 3D-CNN. Currently, our tool can detect fake faces from the videos from youtube and video files that use FaceSwap, Face2Face or DeepFakes as algorithm to create fake content. We use advanced researches on this topic to get this target.
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