akshitagupta15june / Face-X

Demonstration of different algorithms and operations on faces. Star the repo⭐
https://discord.gg/QapWBRZbVe
MIT License
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A deep learning approach to distinguish between real and fake faces #1455

Open rexgraystone opened 1 year ago

rexgraystone commented 1 year ago

Is your feature request related to a problem? Please describe. With the increasing usage of Midjournery and other AI image generators, it becomes harder for a computer to determine betwen real and fake images of faces. This might to lead to security issues and other related problems.

Describe the solution you'd like A deep learning model that can analyze the features in an image and identify whether a given image contains a real or a fake face. Different architectures like ResNet, VGG, Inception etc. will be considered, and the performance metrics will be compared. The best performing model will then be chosen.

Describe alternatives you've considered A machine learning approach with models like Support Vector Machine, K-Nearest Neighbors etc. can also be used. However, it is not the best way to classify these types of images and these models tend to perform poorly in computer vision problems with large datasets.

github-actions[bot] commented 1 year ago

Hello @rexgraystone, Thank you for generating an issue to this project! Please wait while we get back to you.

akshitagupta15june commented 1 year ago

go for it

XAheli commented 1 year ago

I will like to work on this issue together. Please assign it to me @akshitagupta15june .

XAheli commented 1 year ago

I will like to work on this issue together. Please assign it to me.

I'm a GSSoC'23 contributor.

devkakeri06 commented 1 year ago

I'm interested to contribute. Let us work on it together!

lilyaYAHIAOUI commented 1 year ago

I'm interested in working on this feature too.

RP2025 commented 1 year ago

@akshitagupta15june Kindly assign this issue to me