VRT
maxim-pytorch
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VRT | maxim-pytorch | |
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1 | 1 | |
1,244 | 159 | |
- | - | |
0.0 | 1.6 | |
10 months ago | about 1 year ago | |
Python | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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VRT
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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.
What are some alternatives?
articulated-animation - Code for Motion Representations for Articulated Animation paper
maxim - [CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
InstColorization
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.
RethinkVSRAlignment - (NIPS 2022) Rethinking Alignment in Video Super-Resolution Transformers
GIMP-ML - AI for GNU Image Manipulation Program
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
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)