[ICCV 2023] Official implementation of the paper: "DIRE for Diffusion-Generated Image Detection"
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Updated
Sep 26, 2024 - Python
[ICCV 2023] Official implementation of the paper: "DIRE for Diffusion-Generated Image Detection"
Image Tampering Detection using ELA and CNN
Code and pre-trained models for our paper "CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection".
VerifyVision-Proๆฏไธไธชๅ จ้ข็ๅพๅไผช้ ็ฏกๆนๆฃๆต่งฃๅณๆนๆก๏ผๅฉ็จๆทฑๅบฆๅญฆไน ๏ผdeep learning๏ผๅ่ฎก็ฎๆบ่ง่งๆๆฏ๏ผcv๏ผ็ฒพ็กฎ่ฏๅซๅ็ฑปๅพๅ็ฏกๆน๏ผๅ ๆฌdeepfakeใAI็ๆๅ ๅฎนใๆผๆฅๆไฝๅๅคๅถ-็งปๅจ็ฏกๆนใๅบไบPyTorchๅฎ็ฐ๏ผ้ๆไบไปๆฐๆฎๅค็ใๆจกๅ่ฎญ็ปๅฐ้จ็ฝฒ็ๅฎๆดๅทฅไฝๆต็จใ
Find helpful tools and resources to help you fact check and analyse, fake news and AI generated imagery.
Classifies a given image as authentic or tampered by doing two levels of analysis. Implemented using PyTorch.
Classifies a given aadhaar image to real or fake by doing two levels of analysis.
Dแปฑ รกn nghiรชn cแปฉu khoa hแปc sinh viรชn HVNH 2024 - 2025
ํจ์น ๊ธฐ๋ฐ ๋ฅํ์ดํฌ ์์ ๊ฒ์ถ์ ๊ดํ ์ฐ๊ตฌ
develop a Siamese Neural Network capable of performing binary classification based on the Euclidean distance between embedding vectors generated by the network. This classification helps in predicting whether an image is synthetic or real.
Zero-shot AI-generated image detection using forensic self-descriptions. Trained only on real images, detects deepfakes from any generator. Official implementation. CVPR 2025.
A project able to differentiate between REAL and FAKE images.
์ผ๋ฐํ ๋ฅ๋ ฅ์ด ํฅ์๋ CNN ๊ธฐ๋ฐ ์์กฐ ์์ ์๋ณ
Fake Image Detection Using Machine Learning
์์ ์ฐจ์ด์ ์ ๊ฒฝ๋ง์ ์ด์ฉํ ์์กฐ ์ด๋ฏธ์ง ๊ฒ์ถ
YOLO-based image manipulation detection system
Separates real and fake images
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