fake-images
There are 13 repositories under fake-images topic.
Rydgel/Fake-images-please
Fakeimg.pl is a little tool that generates images with an URL. Choose the size, the colors, even the text. Oh… and it’s free.
afsalashyana/FakeImageDetection
Fake Image Detection Using Machine Learning
the-rubies-way/fake_picture
Simple way to generate fake pictures by included in gem pictures for your blog, user and other type of seeds for dev env or even RSpec tests
z1311/Image-Manipulation-Detection
Classifies a given image as authentic or tampered by doing two levels of analysis. Implemented using PyTorch.
hklchung/GAN-GenerativeAdversarialNetwork
Beginner's Guide to building GAN from scratch with Tensorflow and Keras
z1311/Fake-Aadhaar-Detection
Classifies a given aadhaar image to real or fake by doing two levels of analysis.
barzansaeedpour/GANs-Fake-Image-Generation
This repository shows how to build a Generative Adversarial Network (GAN) in PyTorch to generate fake images.
jessy1092/fake-image-snippets
Fake image please! snippets for Atom
Rendezvous97/Empowering-Journalists
We believe that curbing this subset of fake news would involve providing the necessary tools to journalists and users who take the time to sift through trustworthy content. In this light, our solution is to devise a methodology and program to assist a journalist to identify if an image and associated title are trustworthy. The fundamentals of our approach are based on corroboration of news, i.e, the image must be used in credible news websites with text similar to that of the associated title for the image and text to be reliable. If not, we recommend that the journalist (or user) perform a human verification procedure.
NvsYashwanth/MNIST-GAN
Understanding GANs with MNIST implementation
XBACTYN/Fake-image-detector-agregator-NN-
Separates real and fake images
dnwjddl/GAN_project
GAN 프로젝트
TaKeTube/MNIST-GAN
✏️ ECE417 Final Project - Handwritten Digit Images Generation using Generative Adversarial Network (GAN)