SAM VS These-People-Do-Not-Exist

Compare SAM vs These-People-Do-Not-Exist and see what are their differences.

SAM

Official Implementation for "Only a Matter of Style: Age Transformation Using a Style-Based Regression Model" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02754 (by yuval-alaluf)
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SAM These-People-Do-Not-Exist
4 2
596 15
- -
0.0 0.0
5 months 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.

SAM

Posts with mentions or reviews of SAM. We have used some of these posts to build our list of alternatives and similar projects.

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.
  • Github
    4 projects | /r/Kenya | 28 Dec 2021
    two
  • TinyML: Deploying TensorFlow models to Android
    3 projects | dev.to | 24 Aug 2021
    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 SAM and These-People-Do-Not-Exist you can also consider the following projects:

StyleFlow - StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)

Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0

restyle-encoder - Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" (ICCV 2021) https://arxiv.org/abs/2104.02699

image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.

big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun

IAmNotReal - App that uses machine learning to generate human faces

deepfake-scanner - Deepfake Scanner by Deepware.

ALAE - [CVPR2020] Adversarial Latent Autoencoders

Crystal-Rush - An open world platformer game

robin - RObust document image BINarization

SteganoGAN - SteganoGAN is a tool for creating steganographic images using adversarial training.

Keras-GAN - Keras implementations of Generative Adversarial Networks.