Deepfakes Software For All
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Updated
Aug 2, 2024 - Python
Deepfakes Software For All
DeepFaceLab is the leading software for creating deepfakes.
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络(GAN,Generative Adversarial Network)图像生成的理论与实践研究。
An arbitrary face-swapping framework on images and videos with one single trained model!
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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
🔥🔥Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks
[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer
[CVPR 2022 Oral] Detecting Deepfakes with Self-Blended Images https://arxiv.org/abs/2204.08376
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.
PyTorch Implementation for Paper "Emotionally Enhanced Talking Face Generation" (ICCVW'23 and ACM-MMW'23)
Determine whether a given video sequence has been manipulated or synthetically generated
This repository contains our POC for a website which can easily check videos for manipulated areas. It was part of the Hackathon for Good in the Hague, 2019.
Deepfakes Video classification via CNN, LSTM, C3D and triplets [IWBF'20]
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