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"

Image Forgery Detection and Localization (and related) Papers List

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

Learn how to research images and the tools, techniques & tradecraft required.

[CVPR'19, ICLR'20] A Python toolbox for modeling and optimization of photo acquisition & distribution pipelines (camera ISP, compression, forensics, manipulation detection)

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

Tampering detection related sources

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

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.

Reproduced Code for Image Forgery Detection papers.