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fake-image-detection
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[ICCV 2023] Official implementation of the paper: "DIRE for Diffusion-Generated Image Detection"
Image Tampering Detection using ELA and CNN
Code and pre-trained models for our paper "CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection".
Find helpful tools and resources to help you fact check and analyse, fake news and AI generated imagery.
Classifies a given image as authentic or tampered by doing two levels of analysis. Implemented using PyTorch.
Classifies a given aadhaar image to real or fake by doing two levels of analysis.
A project able to differentiate between REAL and FAKE images.
Fake Image Detection Using Machine Learning
YOLO-based image manipulation detection system
Pattern recognition - machine learning from scratch
Separates real and fake images
An extensive pipeline used to train, validate, and test CNN and transformer architectures for the detection of fake images.
Image Tampering Detection WebApp made with Flask
This tool uses multiple detection methods to identify AI-generated images and videos