This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For more details follow the documentaion.
Video Face Manipulation Detection Through Ensemble of CNNs
Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.
Determine whether a given video sequence has been manipulated or synthetically generated
Implementation of the winning solution for the Media Analytics Challenge 2023.
Helpful resources for creating deepfakes.
Towards deepfake detection that actually works
My solution for the Deepfake Detection Challenge
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