Genetic-Algorithm-Image-Recreation
From scratch Python implementation of a genetic algorithm that recreates a target image (by SebastianCharmot)
image_algorithm
A Image Generator algorithm which the task is to recreate the Image.png with triangles (by TyperOfCode)
Genetic-Algorithm-Image-Recreation | image_algorithm | |
---|---|---|
1 | 1 | |
6 | 47 | |
- | - | |
10.0 | 10.0 | |
over 1 year ago | over 4 years ago | |
Jupyter Notebook | Python | |
- | - |
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.
Genetic-Algorithm-Image-Recreation
Posts with mentions or reviews of Genetic-Algorithm-Image-Recreation.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-05.
-
Genetic Algorithm for Image Recreation
Source Code
image_algorithm
Posts with mentions or reviews of image_algorithm.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-05.
-
Genetic Algorithm for Image Recreation
I used Python to create a genetic algorithm from scratch that recreates a target image. Previous attempts at this problem have either resulted in grainy/pixelated results [1], lacked an initial population to qualify as a true genetic algorithm [2], or generated results that were highly abstract with few details of the target image [3].
What are some alternatives?
When comparing Genetic-Algorithm-Image-Recreation and image_algorithm you can also consider the following projects:
Kandinsky-2 - Kandinsky 2 — multilingual text2image latent diffusion model
ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]
stable-diffusion-webui-colab - stable diffusion webui colab
Diffusion-ColabUI - Choose your diffusion models and spin up a WebUI on Colab in one click
mmagic - OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
ru-dalle - Generate images from texts. In Russian
Genetic-Algorithm-Image-Recreation vs Kandinsky-2
Genetic-Algorithm-Image-Recreation vs ganspace
Genetic-Algorithm-Image-Recreation vs stable-diffusion-webui-colab
Genetic-Algorithm-Image-Recreation vs Diffusion-ColabUI
Genetic-Algorithm-Image-Recreation vs mmagic
Genetic-Algorithm-Image-Recreation vs ru-dalle