astrophotography_stack_align VS mmagic

Compare astrophotography_stack_align vs mmagic and see what are their differences.

astrophotography_stack_align

Align sequence of star field / astro images taken with a stationary camera (stationary relative to all those stars light years away). (by toymil)
Photography astrophotography Image processing image-alignment
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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. (by open-mmlab)
super-resolution inpainting matting image-generation generative-adversarial-network Pytorch Deep Learning video-interpolation video-frame-interpolation video-super-resolution Computer Vision Image Editing Image processing image-synthesis diffusion text2image aigc generative-ai diffusion-models
Source Code
mmagic.readthedocs.io
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astrophotography_stack_align mmagic
1 5
4 6,612
- 1.5%
0.0 8.7
over 1 year ago 2 months ago
Jupyter Notebook Jupyter Notebook
- Apache License 2.0
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astrophotography_stack_align

Posts with mentions or reviews of astrophotography_stack_align. We have used some of these posts to build our list of alternatives and similar projects.
  • Galactic Core
    1 project | /r/astrophotography | 9 Dec 2022
    Program: https://github.com/toymil/astrophotography_stack_align Uncompressed image: https://github.com/toymil/astrophotography_stack_align/raw/master/.github/image/_END_RESULT.JPG

mmagic

Posts with mentions or reviews of mmagic. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-18.

What are some alternatives?

When comparing astrophotography_stack_align and mmagic you can also consider the following projects:

maxvit - [ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...

a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Shutter-Time-Calculator - A simple webpage with a NPF Calculator

Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

image-crop-analysis - Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency

Image-Super-Resolution-via-Iterative-Refinement - Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset

starreduction - A free and open source tool for star removal in astronomy images. A GAN model implemented in tensorflow and trained to remove stars from astronomical images

cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images

Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

astrophotography_stack_align vs maxvit mmagic vs a-PyTorch-Tutorial-to-Super-Resolution astrophotography_stack_align vs Shutter-Time-Calculator mmagic vs Real-ESRGAN astrophotography_stack_align vs image-crop-analysis mmagic vs Image-Super-Resolution-via-Iterative-Refinement astrophotography_stack_align vs computervision-recipes mmagic vs Real-ESRGAN-colab astrophotography_stack_align vs starreduction mmagic vs cnn-watermark-removal mmagic vs Deep-Exemplar-based-Video-Colorization mmagic vs contrastive-unpaired-translation