An open-source digital image forensic toolset
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Updated
Jul 15, 2024 - Perl
An open-source digital image forensic toolset
Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal (FBCNN)"
[ICCV 2023] Official implementation of the paper: "DIRE for Diffusion-Generated Image Detection"
Official code for CAT-Net: Compression Artifact Tracing Network. Image manipulation detection and localization.
[CVPR 2022 Oral] Detecting Deepfakes with Self-Blended Images https://arxiv.org/abs/2204.08376
[CVPR'19, ICLR'20] A Python toolbox for modeling and optimization of photo acquisition & distribution pipelines (camera ISP, compression, forensics, manipulation detection)
Learn how to research images and the tools, techniques & tradecraft required.
Copy-move image forgery detection library.
[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
phoenix is a small command line image forensics tool
GAN-generated image detection based on CNNs
Copy-Move forgery database with similar but Genuine objects. ICIP2016 paper
Author implementation of Exploring Adversarial Fake Images on Face Manifold (CVPR 2021 oral)
Detection of copy-move forgery in an image with CMDF methods. (SIFT, SURF, AKAZE, RANSAC)
Computer Graphics vs Real Photographic Images : A Deep-learning approach
Reproduced Code for Image Forgery Detection papers.
Implementation of the paper A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer
Distinguishing Between Natural and Computer-Generated Images Using Convolutional Neural Networks in Keras.
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