Official code for CAT-Net: Compression Artifact Tracing Network. Image manipulation detection and localization.
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Updated
Dec 16, 2024 - Python
Official code for CAT-Net: Compression Artifact Tracing Network. Image manipulation detection and localization.
[CVPR'19, ICLR'20] A Python toolbox for modeling and optimization of photo acquisition & distribution pipelines (camera ISP, compression, forensics, manipulation detection)
Groundtruth images of tampering dataset CASIA 2.0
Copy-move image forgery detection library.
Implementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch
Unofficial implementation of paper 'Face X-ray for More General Face Forgery Detection'. (updating...)
[CVPR 2023 Highlight] Official implementation of the paper: "AltFreezing for More General Video Face Forgery Detection"
A collection of deep learning approaches and datasets publicly available for image forgery and deepfakes detection
Groundtruth images of tampering dataset CASIA 1.0
This system is Used detect and highlight the image (Forgery) malpractices performed on modern-day digital images.
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection (NeurIPS 2020)
Copy-Move forgery database with similar but Genuine objects. ICIP2016 paper
Detection of copy-move forgery in an image with CMDF methods. (SIFT, SURF, AKAZE, RANSAC)
IFAKE is an application for detecting image and video forgery, designed to help users verify the authenticity of digital media. This repository also contains the AI model and dataset that we developed for image tampering detection, providing an effective solution for detecting image and video manipulations.
🖼️ 🕵️ Forgery Detection on Images
This is the one of solution implemented for image forgery localization using deep learning techniques and architectures such as UNET, VGG
image fraud detection(copy-move forgery)
auto-encoder-based forgery detection tool for mammogram images
A deep convolutional neural network for the detection as well as localization of the area of manipulation in forged images, bearing forgeries of simple as well as complex nature. Further along, the trained model is interfaced with a web application for users to interact with the model in a simple and effective manner, and finally, we also develo…
Official implementation of the article "Unsupervised JPEG Domain Adaptation For Practical Digital Forensics"
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