maxvit
astrophotography_stack_align
| maxvit | astrophotography_stack_align | |
|---|---|---|
| 1 | 1 | |
| 421 | 4 | |
| 1.9% | - | |
| 0.0 | 0.0 | |
| 11 months ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | - |
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.
maxvit
-
GOOGLE new computer vision multi-axis approach improves high level tasks, such as object detection, as well as motion deblurring, denoising, deraining
Today we present a new multi-axis approach that is simple and effective, improves on the original ViT and MLP models, can better adapt to high-resolution, dense prediction tasks, and can naturally adapt to different input sizes with high flexibility and low complexity. Based on this approach, we have built two backbone models for high-level and low-level vision tasks. We describe the first in “MaxViT: Multi-Axis Vision Transformer”, to be presented in ECCV 2022, and show it significantly improves the state of the art for high-level tasks, such as image classification, object detection, segmentation, quality assessment, and generation. The second, presented in “MAXIM: Multi-Axis MLP for Image Processing” at CVPR 2022, is based on a UNet-like architecture and achieves competitive performance on low-level imaging tasks including denoising, deblurring, dehazing, deraining, and low-light enhancement. To facilitate further research on efficient Transformer and MLP models, we have open-sourced the code and models for both MaxViT and MAXIM.
astrophotography_stack_align
-
Galactic Core
Program: https://github.com/toymil/astrophotography_stack_align Uncompressed image: https://github.com/toymil/astrophotography_stack_align/raw/master/.github/image/_END_RESULT.JPG
What are some alternatives?
maxim - [CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
Shutter-Time-Calculator - A simple webpage with a NPF Calculator
vision_transformer_tf - This repository contains the TensorFlow implementation of the paper "AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE" known as vision transformers.
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
Azure-Computer-Vision-in-a-day-workshop - Azure Computer Vision 4 (March 2023 - Florence) workshop in a day
computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.
vision-transformer-from-scratch - A Simplified PyTorch Implementation of Vision Transformer (ViT)
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.
optc-box-exporter - Export your One Piece Treasure Cruise Box with just using Screenshots
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
liga-pytorch - Let Data Dance with PyTorch Models