shraddhavijay / IFAKE
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.
☆27Updated last year
Alternatives and similar repositories for IFAKE:
Users that are interested in IFAKE are comparing it to the libraries listed below
- This system is Used detect and highlight the image (Forgery) malpractices performed on modern-day digital images.☆42Updated 2 years ago
- Image forgery detection using convolutional neural networks. Group 10's final project for TU Delft's course CS4180 Deep Learning 2019.☆160Updated last year
- A collection of deep learning approaches and datasets publicly available for image forgery and deepfakes detection☆58Updated 5 years ago
- Reproduced Code for Image Forgery Detection papers.☆23Updated 3 years ago
- Image Forgery Detection using Deep learning Graduation project☆89Updated last year
- This project focuses on detecting a specific form of image forgery known as a copy-move attack, in which a portion of an image is copied …☆11Updated 2 years ago
- Detecting tampered/fake images using Deep Learning☆25Updated 5 years ago
- Deepfake Video Detection Using Generative Convolutional Vision Transformer☆64Updated 10 months ago
- ☆29Updated 3 years ago
- ☆33Updated 3 years ago
- ManTra-Net: Manipulation Tracing Network For Detection And Localization of Image Forgeries With Anomalous Features☆277Updated 4 years ago
- Groundtruth images of tampering dataset CASIA 2.0☆154Updated 2 years ago
- Image Tampering Detection using ELA and CNN☆203Updated last year
- Rethinking Image Forgery Detection and Localization☆82Updated last year
- Classifies a given image as authentic or tampered by doing two levels of analysis. Implemented using PyTorch.☆22Updated 2 years ago
- Code and trained models for our paper: K. Triaridis, V. Mezaris, "Exploring Multi-Modal Fusion for Image Manipulation Detection and Local…☆87Updated last year
- Code for "A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection"☆30Updated last year
- ☆67Updated 6 years ago
- We implement a photoshop image detection method that proposes a two-stream Faster R-CNN network and trains it end-to-end to detect the ta…☆20Updated 4 years ago
- FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network. (IFIP-SEC 2020)☆32Updated 4 years ago
- 基于论文Learning Rich Features for Image Manipulation Detection的学习与代码详解☆21Updated 4 years ago
- Official code for CAT-Net: Compression Artifact Tracing Network. Image manipulation detection and localization.☆247Updated 3 months ago
- ☆114Updated last year
- Implementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch☆118Updated 7 months ago
- Source code of the paper: Effective Image Tampering Localization via Enhanced Transformer and Co-attention Fusion, ICASSP 2024.☆33Updated last week
- GAN-generated image detection based on CNNs☆44Updated last year
- DeepFake detection using DeepLearning☆10Updated 3 years ago
- ☆120Updated last year
- Unofficial implementation of ManTra-Net (CVPR 2019) with Pytorch including training code. The original paper is a model implemented by ke…☆28Updated last year
- Detection of copy-move forgery in an image with CMDF methods. (SIFT, SURF, AKAZE, RANSAC)☆35Updated last month