SteganoGAN
SteganoGAN is a tool for creating steganographic images using adversarial training. (by DAI-Lab)
These-People-Do-Not-Exist
AI that generates human faces which have never been seen before. The future is now 😁 (by badass-techie)
SteganoGAN | These-People-Do-Not-Exist | |
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1 | 2 | |
275 | 15 | |
0.0% | - | |
0.0 | 0.0 | |
about 1 year ago | over 2 years ago | |
Python | Python | |
MIT License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SteganoGAN
Posts with mentions or reviews of SteganoGAN.
We have used some of these posts to build our list of alternatives
and similar projects.
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SteganoGAN, GAN and image compression
Hi guys ! I'm trying to make steganography which is resistant to image compression. But being new in the world of GAN, I don't really know how to do it. I found that this project was very well written and interesting : https://github.com/DAI-Lab/SteganoGAN
These-People-Do-Not-Exist
Posts with mentions or reviews of These-People-Do-Not-Exist.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-28.
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Github
two
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TinyML: Deploying TensorFlow models to Android
A while back, researchers at NVIDIA released StyleGAN, a machine learning model that synthesizes images of pretty much anything from random noise, say images of landscapes, art, people, or vehicles. I saw a demo of it and it honestly blew my mind. Shortly after I implemented StyleGAN myself.
What are some alternatives?
When comparing SteganoGAN and These-People-Do-Not-Exist you can also consider the following projects:
Stegano - A pure Python steganography module.
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0