A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures
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Updated
May 16, 2024 - Jupyter Notebook
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures
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.
PyTorch implementation of NEUTART, a system that creates photorealistic talking avatars from an input text transcription.
Using this, you can edit a face in any video you like by putting a face you like in just 1 click / Without any limitation...
Face Swapping on Image and Video With Deep Fake Methods
A repository to mass generate deepfake video based on DeepFaceLab repository.
This is a paper on deepfake generation and how to evaluate it.
The author's unofficial PyTorch re-implementation of Face-Xray
Helpful resources for creating deepfakes.
Fake Face Generation using DCGANs
Towards deepfake detection that actually works
A pipeline of face swap (or deepfake generation).
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