swin2sr
maxim
swin2sr | maxim | |
---|---|---|
2 | 1 | |
527 | 943 | |
- | 1.6% | |
2.6 | 0.0 | |
11 months ago | 11 months ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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swin2sr
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Braided Beauty in a Pretty City
Upscaling model can be found here, and instructions for use in Automatic1111 WebUI can be found here.
- The DEFINITIVE Comparison to Upscalers
maxim
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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.
What are some alternatives?
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
maxim-pytorch - [CVPR 2022 Oral] PyTorch re-implementation for "MAXIM: Multi-Axis MLP for Image Processing", with *training code*. Official Jax repo: https://github.com/google-research/maxim
super-image - Image super resolution models for PyTorch.
maxvit - [ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
GIMP-ML - AI for GNU Image Manipulation Program
ilo - [ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
friendship-globe
FSRCNN-pytorch - PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)
Restormer - [CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
Windows-terminal-context-menu - 📃 This is a simple script to add right click context menu for your best Windows terminal ❤