Restormer
maxim
| Restormer | maxim | |
|---|---|---|
| 3 | 1 | |
| 1,554 | 952 | |
| - | 2.5% | |
| 3.8 | 0.0 | |
| 23 days ago | 11 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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Restormer
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[R] Restormer: Efficient Transformer for High-Resolution Image Restoration (CVPR2022--ORAL) + Colab Demo + Gradio Web Demo
Code for https://arxiv.org/abs/2111.09881 found: https://github.com/swz30/Restormer
- Restormer: Efficient Transformer for High-Resolution Image Restoration
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
maxvit - [ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...
NAFNet - The state-of-the-art image restoration model without nonlinear activation functions.
GIMP-ML - AI for GNU Image Manipulation Program
HRNet-Semantic-Segmentation - The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
swin2sr - [ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr
transfiner - Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022
friendship-globe
MPRNet - [CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
Windows-terminal-context-menu - 📃 This is a simple script to add right click context menu for your best Windows terminal ❤