A comprehensive benchmark & codebase for Image manipulation detection/localization.
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Updated
Jul 12, 2024 - Python
A comprehensive benchmark & codebase for Image manipulation detection/localization.
Official code for CAT-Net: Compression Artifact Tracing Network. Image manipulation detection and localization.
Employ deep learning and transfer learning techniques to classify images as "fake" or "real," ensuring authenticity preservation.
Resolves severe noise in the widely spread CASIA2.0 dataset ground-truth for Image Manipulation Detection
Corrections of resolution issue for common image manipulation localization datasets. (CASIA, Coverage, IMD2020)
[AAAI 2022] MadisNet: Inharmonious Region Localization by Magnifying Domain Discrepancy
[ICME2021]The first work on Deep Inharmonious Region Localization, which can help image harmonization in an adversarial way.
Academic group project undertaken as part of a class.
[ECCV 2022] TAFIM: Targeted Adversarial Attacks against Facial Image Manipulation
NYU DS-UA 301 Final Project
🏞 Steganography-based image integrity - Merkle tree nodes embedded into image chunks so that each chunk's integrity can be verified on its own.
Fake Image Detection Using Machine Learning
Flask Web Interface to deploy ManTraNet and BusterNet for testing image manipulations
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