DeepFakeLab is a powerful repository for image manipulation using cutting-edge generative models. Easily insert various features into images, explore creative possibilities, and learn about advanced generative techniques. This repository is both a practical tool and an educational resource for computer vision enthusiasts.

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Generate synthetic image using DCGAN on fashion mnist data

Making video robust against deep-fake generation

Helpful resources for creating deepfakes.

Towards deepfake detection that actually works

Generate fake tweets / X images 🤷🏽‍♂️

Some code from our attempt to tackle Deep Fakes

Repository contains links to deep face repositories

Implementation of the winning solution for the Media Analytics Challenge 2023.

A poor attempt to implement a DeepFake/FaceSwap using Pytorch and OpenCV

Provides a framework for training Generative Adverserial Networks (GANs) with user-defined training parameters and network complexity.

This is a paper on deepfake generation and how to evaluate it.

[ICPR 2024] The official repo for FIDAVL: Fake Image Detection and Attribution using Vision-Language Model

Next generation face swapper and enhancer unlocked

This repository contains the source code for the paper First Order Motion Model for Image Animation. Demo for:

Detecting deepfakes using Deep Learning

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