Image Forensics
32 papers with code • 0 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Image Forensics
Celeb-DF
StreetStyle
Satire Dataset
Most implemented papers
MesoNet: a Compact Facial Video Forgery Detection Network
DariusAf/MesoNet
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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
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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
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
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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
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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
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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
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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
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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
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
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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.
