A prize winning solution for DFDC challenge
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Updated
Feb 11, 2023 - Python
A prize winning solution for DFDC challenge
Towards deepfake detection that actually works
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.
A curated list of articles and codes related to face forgery generation and detection.
Video Face Manipulation Detection Through Ensemble of CNNs
A list of tools, papers and code related to Deepfake Detection.
A curated list of awesome Deepfakes materials
Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.
🔥🔥Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks
3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).
Python library for analysing faces using PyTorch
DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.
Deepfake Image Detection with Keras & TensorFlow
[CVPR 2022 Oral] Detecting Deepfakes with Self-Blended Images https://arxiv.org/abs/2204.08376
Official code for DefakeHop: A Light-Weight High-Performance Deepfake Detector
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.
All about Deepfakes & Detection
SUTD 50.039 Deep Learning Course Project (2022 Spring)
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