PyTorch implementation of NEUTART, a system that creates photorealistic talking avatars from an input text transcription.
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Updated
Feb 27, 2024 - Python
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...
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures
Face Swapping on Image and Video With Deep Fake Methods
Helpful resources for creating deepfakes.
A repository to mass generate deepfake video based on DeepFaceLab repository.
Towards deepfake detection that actually works
Fake Face Generation using DCGANs
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.
The author's unofficial PyTorch re-implementation of Face-Xray
A pipeline of face swap (or deepfake generation).
This is a paper on deepfake generation and how to evaluate it.
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