Image Forensics

28 papers with code • 0 benchmarks • 3 datasets

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Most implemented papers

MesoNet: a Compact Facial Video Forgery Detection Network

DariusAf/MesoNet 4 Sep 2018

This paper presents a method to automatically and efficiently detect face tampering in videos, and particularly focuses on two recent techniques used to generate hyper-realistic forged videos: Deepfake and Face2Face.

Fighting Fake News: Image Splice Detection via Learned Self-Consistency

minyoungg/selfconsistency ECCV 2018

In this paper, we propose a learning algorithm for detecting visual image manipulations that is trained only using a large dataset of real photographs.

ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features

ISICV/ManTraNet CVPR 2019

To fight against real-life image forgery, which commonly involves different types and combined manipulations, we propose a unified deep neural architecture called ManTra-Net.

Towards Flexible Blind JPEG Artifacts Removal

jiaxi-jiang/fbcnn ICCV 2021

Training a single deep blind model to handle different quality factors for JPEG image artifacts removal has been attracting considerable attention due to its convenience for practical usage.

First Steps Toward Camera Model Identification with Convolutional Neural Networks

polimi-ispl/camera-model-identification-with-cnn 3 Mar 2016

Detecting the camera model used to shoot a picture enables to solve a wide series of forensic problems, from copyright infringement to ownership attribution.

Image Forensics: Detecting duplication of scientific images with manipulation-invariant image similarity

teddykoker/image-forensics 19 Feb 2018

Manipulation and re-use of images in scientific publications is a concerning problem that currently lacks a scalable solution.

Forensic Similarity for Digital Images

MISLgit/forensic-similarity-for-digital-images 13 Feb 2019

In this paper we introduce a new digital image forensics approach called forensic similarity, which determines whether two image patches contain the same forensic trace or different forensic traces.

A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection

FrancescoMarra/E2E-ForgeryDetection 15 Sep 2019

Due to limited computational and memory resources, current deep learning models accept only rather small images in input, calling for preliminary image resizing.

CNN-based fast source device identification

polimi-ispl/cnn-fast-sdi 31 Jan 2020

Source identification is an important topic in image forensics, since it allows to trace back the origin of an image.

Leveraging Frequency Analysis for Deep Fake Image Recognition

RUB-SysSec/GANDCTAnalysis ICML 2020

Based on this analysis, we demonstrate how the frequency representation can be used to identify deep fake images in an automated way, surpassing state-of-the-art methods.