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To better support detection against real-world deepfakes, in this paper, we introduce a new dataset WildDeepfake, which consists of 7,314 face sequences extracted from 707 deepfake videos that are collected completely from the internet. WildDeepfake is a small dataset that can be used, in addition to existing datasets, to develop more effective ...
If you are the owner of the repository, you may reach out to GitHub Support for more information. DeepFaceLab is the leading software for creating deepfakes. - iperov/DeepFaceLab.
There is also a Face Animator module in DeepFaceLive app. You can control a static face picture using video or your own face from the camera. The quality is not the best, and requires fine face matching and tuning parameters for every face pair, but enough for funny videos and memes or real-time streaming at 25 fps using 35 TFLOPS GPU.
The proposed GenConViT model demonstrates robust performance in deepfake video detection, with an average accuracy of 95.8% and an AUC value of 99.3% across the tested datasets. Our proposed model addresses the challenge of generalizability in deepfake detection by leveraging visual and latent features and providing an effective solution for identifying a wide range of fake videos while ...
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Real-time face swap and video deepfake with a single click and only a single image. Disclaimer This software is intended as a productive contribution to the AI-generated media industry.
2024年8月30日 · In this Repo, we introduce a new method called StA to equip a pre-trained image model (such as CLIP) with the ability to capture both spatial and temporal forgery features jointly and efficiently for better deepfake video detection. Specifically, StA is designed with two-stream 3D-Conv with varying ...
Pull requests. 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.
Streamlit application for generating and detecting deepfakes. Generates deepfakes in audio, image, and video, and detects deepfakes in images. Uses advanced AI models for accurate results. data-science machine-learning video artificial-intelligence data-engineering image-classification data-analysis face-recognition face-detection neuronal ...
This software is designed to contribute positively to the AI-generated media industry, assisting artists with tasks like character animation and models for clothing. We are aware of the potential ethical issues and have implemented measures to prevent the software from being used for inappropriate content, such as nudity.
