Replication codebase for Barari, Lucas, and Munger (2023).
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Updated
Dec 18, 2023 - R
Replication codebase for Barari, Lucas, and Munger (2023).
Visual Computing and Biometric Security Lab, Wichita State University
Deepfakes detection by machine learning and deep learning
DeepFaceKey - Утилита для удобной загрузки DeepFaceLab на Playkey
deepfakes
This project is based on the paper Representative Forgery Mining for Deep Fake Detection.
This project presents Deepfake identification using machine learning techniques to detect synthetic images. Machine learning plays a significant role in assisting with complicated and convoluted problems that breaches human ability. The precision and consistency with which technology can reliably and easily discern the integrity of digitalized v…
Some collected paper & personal notes & codes relevant to Fake Face Detetection and Generation.
BMSTU Bachelor's Graduate Qualification Work
Replication code for the paper 'Towards DeepFake video forensics based on facial textural disparities in multi-color channels'
Online Disinformation Spreading Through Deepfakes
Create Synthetic-Images in TensorFlow using Generative Adversarial Network and Deepfakes using Keras.
Detecting head orientation (Euler's angles), lips opening, face expression and bouding box size. Construct a decoder with these data.
Term paper on Deepfake Technology
A Gradio-based web application that detects whether an image is a deepfake. The application uses a pre-trained InceptionResnetV1 model from the facenet_pytorch library for face recognition, and pytorch-grad-cam for visual explainability.
Deepfake application that generates educational animations for pre-school and primary school children.
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