maxim-pytorch
Restormer
| maxim-pytorch | Restormer | |
|---|---|---|
| 1 | 3 | |
| 159 | 1,537 | |
| - | - | |
| 1.6 | 3.8 | |
| about 1 year ago | 13 days ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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maxim-pytorch
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Need help to reduce vision transformer patch artifacts
Hi there, i'm trying to do image enhancement task. Basically you give it some image and it makes it more colorful, vibrant, changes up some exposure and other things. I'm implementing it with Google Maxim architecture in pytorch. Unfortunately they dont include training code (original one is in JAX) and pyotorch only has the network, not training code.
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
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.
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
GIMP-ML - AI for GNU Image Manipulation Program
NAFNet - The state-of-the-art image restoration model without nonlinear activation functions.
swin2sr - 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
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
transfiner - Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022
VRT - VRT: A Video Restoration Transformer (official repository)
MPRNet - [CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
DirectVoxGO - Direct voxel grid optimization for fast radiance field reconstruction.