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
Detection of copy-move forgery in an image with CMDF methods. (SIFT, SURF, AKAZE, RANSAC)
Author implementation of Exploring Adversarial Fake Images on Face Manifold (CVPR 2021 oral)
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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