Image and Video Forgery Detection
4 papers with code • 0 benchmarks • 0 datasets
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Latest papers
AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics
To achieve this, we propose a new approach that leverages the DALL-E2 language-image model to automatically generate and splice masked regions guided by a text prompt.
Towards Robust Tampered Text Detection in Document Image: New Dataset and New Solution
qcf-568/doctamper
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CVPR 2023
In this paper, we propose a novel framework to capture more fine-grained clues in complex scenarios for tampered text detection, termed as Document Tampering Detector (DTD), which consists of a Frequency Perception Head (FPH) to compensate the deficiencies caused by the inconspicuous visual features, and a Multi-view Iterative Decoder (MID) for fully utilizing the information of features in different scales.
Use of a Capsule Network to Detect Fake Images and Videos
nii-yamagishilab/Capsule-Forensics-v2
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In this paper, we introduce a capsule network that can detect various kinds of attacks, from presentation attacks using printed images and replayed videos to attacks using fake videos created using deep learning.
Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videos
nii-yamagishilab/Capsule-Forensics-v2
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Recent advances in media generation techniques have made it easier for attackers to create forged images and videos.
