Deepfakes Software For All
DeepFaceLab is the leading software for creating deepfakes.
An arbitrary face-swapping framework on images and videos with one single trained model!
A prize winning solution for DFDC challenge
Towards deepfake detection that actually works
Refacer: One-Click Deepfake Multi-Face Swap Tool
[CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection
PyTorch Implementation for Paper "Emotionally Enhanced Talking Face Generation" (ICCVW'23 and ACM-MMW'23)
🔥🔥Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks
[CVPR 2022 Oral] Detecting Deepfakes with Self-Blended Images https://arxiv.org/abs/2204.08376
[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer
[ICCV 2023] BlendFace: Re-designing Identity Encoders for Face-Swapping https://arxiv.org/abs/2307.10854
PyTorch implementation for NED (CVPR 2022). It can be used to manipulate the facial emotions of actors in videos based on emotion labels or reference styles.
lipsync is a simple and updated Python library for lip synchronization, based on Wav2Lip. It synchronizes lips in videos and images based on provided audio, supports CPU/CUDA, and uses caching for faster processing.
[VISAPP2024] Towards the Detection of Diffusion Model Deepfakes
Determine whether a given video sequence has been manipulated or synthetically generated
[CVIU, DICTA Award] Glitch in the Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization
Sinner: Sinner Is NoN Exactly Roop
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