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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!
A list of tools, papers and code related to Deepfake Detection.
A prize winning solution for DFDC challenge
A curated list of articles and codes related to face forgery generation and detection.
This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For more details follow the documentaion.
Towards deepfake detection that actually works
Raising the Cost of Malicious AI-Powered Image Editing
Refacer: One-Click Deepfake Multi-Face Swap Tool
[CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection
A Survey on Deepfake Generation and Detection
PyTorch Implementation for Paper "Emotionally Enhanced Talking Face Generation" (ICCVW'23 and ACM-MMW'23)
A curated list of GAN & Deepfake papers and repositories.
🔥🔥Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks
Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.