[ICCV 2023] Official implementation of the paper: "DIRE for Diffusion-Generated Image Detection"

Code and pre-trained models for our paper "CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection".

Classifies a given aadhaar image to real or fake by doing two levels of analysis.

VerifyVision-Pro是一个全面的图像伪造篡改检测解决方案，利用深度学习（deep learning）和计算机视觉技术（cv）精确识别各类图像篡改，包括deepfake、AI生成内容、拼接操作和复制-移动篡改。基于PyTorch实现，集成了从数据处理、模型训练到部署的完整工作流程。

패치 기반 딥페이크 영상 검출에 관한 연구

A project able to differentiate between REAL and FAKE images.

일반화 능력이 향상된 CNN 기반 위조 영상 식별

색상 차이와 신경망을 이용한 위조 이미지 검출

Separates real and fake images

VerifyVision-Pro是一个全面的图像伪造篡改检测解决方案，利用深度学习（deep learning）和计算机视觉技术（cv）精确识别各类图像篡改，包括deepfake、AI生成内容、拼接操作和复制-移动篡改。基于PyTorch实现，集成了从数据处理、模型训练到部署的完整工作流程。

This tool uses multiple detection methods to identify AI-generated images and videos

An extensive pipeline used to train, validate, and test CNN and transformer architectures for the detection of fake images.