Top 12 Python denoising Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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maxim
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
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dipy
DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
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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
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traiNNer
traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.
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hifigan-denoiser
HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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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
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ilo
[ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
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BJDD_CVPR21
This is the official implementation of Beyond Joint Demosaicking and Denoising from CVPRW21.
git clone https://github.com/victorca25/traiNNer.git
Project mention: Need help to reduce vision transformer patch artifacts | /r/computervision | 2023-04-28Hi 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.
Python denoising related posts
Index
What are some of the best open-source denoising projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | SwinIR | 4,060 |
2 | VRT | 1,244 |
3 | maxim | 940 |
4 | dipy | 669 |
5 | swin2sr | 523 |
6 | traiNNer | 275 |
7 | hifigan-denoiser | 188 |
8 | python-meegkit | 166 |
9 | maxim-pytorch | 159 |
10 | ilo | 117 |
11 | BJDD_CVPR21 | 63 |
12 | nind-denoise | 23 |
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