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
The author's unofficial PyTorch re-implementation of Face-Xray
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.
A pipeline of face swap (or deepfake generation).
This is a paper on deepfake generation and how to evaluate it.
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