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Search results for python denoising
denoising
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83 search results found
Kair
⭐
2,502
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
Vrt
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882
VRT: A Video Restoration Transformer (official repository)
Noise2noise
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703
An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"
Dipy
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647
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.
Maxim
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581
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
Fullsubnet
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443
PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
Dpir
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405
Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)
Swin2sr
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303
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 1.8 M runs https://replicate.com/mv-lab/swin2sr
Image Restoration Sde
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299
Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.
Tenet
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237
[ICCP'22] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline
Led
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219
[ICCV 2023] Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising && [Arxiv 2023] Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model
Trainner
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198
traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.
Python Meegkit
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149
🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python
Friedricelab
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143
Official repository of the Fried Rice Lab, including code resources of the following our works: ESWT [arXiv], etc. This repository also implements many useful features and out-of-the-box image restoration models.
Tensorflow Mnist Cvae
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134
Tensorflow implementation of conditional variational auto-encoder for MNIST
Adafm
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130
CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation
Noise2noise Pytorch
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122
PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)
Maxim Pytorch
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117
[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
Mirnetv2
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113
[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement
Ilo
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111
[ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
Bm3d_py
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105
pure Python implement of BM3D
Aydin
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104
Aydin — User-friendly, Fast, Self-Supervised Image Denoising for All.
Pngan
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103
"Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training" (NeurIPS 2021)
Pmn
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99
[TPAMI 2023 / ACMMM 2022 Best Paper Runner-Up Award] Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling (a Data Perspective)
Ddm2
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98
Official repository of DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models, ICLR2023
Idr
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95
Self-Supervised Image Denoising via Iterative Data Refinement (CVPR2022)
Cbdnet Pytorch
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91
PyTorch implementation of CBDNet.
Restoring Extremely Dark Images In Real Time
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86
The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"
Biapy
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85
Open source Python library for building bioimage analysis pipelines
Wavenet Enhancement
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84
Speech Enhancement using Bayesian WaveNet
Bbcu
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71
This project is the official implementation of 'Basic Binary Convolution Unit for Binarized Image Restoration Network', ICLR2023
Dvdnet
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55
DVDnet: A Simple and Fast Network for Deep Video Denoising
Dmrdenoise
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54
⛄ Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)
Cresmd
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52
(ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration
Deep_demosaick
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51
Iterative Residual Network for Deep Joint Image Demosaicking and Denoising
Napari Hub
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46
Discover, install, and share napari plugins
Support
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46
Accurate denoising of voltage imaging data through statistically unbiased prediction, Nature Methods.
Bjdd_cvpr21
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41
This is the official implementation of Beyond Joint Demosaicking and Denoising from CVPRW21.
Dhdn
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40
PyTorch Implementation of "Densely Connected Hierarchical Network for Image Denoising", CVPRW, NTIRE2019
Ccpi Regularisation Toolkit
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40
The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks
Cbdnet Tensorflow
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38
An unofficial implementation of CBDNet by Tensorflow.
Voice Denoising An
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31
A Conditional Generative Adverserial Network (cGAN) was adapted for the task of source de-noising of noisy voice auditory images. The base architecture is adapted from Pix2Pix.
Wcmc
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31
Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction [Cho et al. SIGGRAPH 2021]
Exposurediffusion
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29
[ICCV 2023] ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
Pre Training Via Denoising
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29
Official implementation of pre-training via denoising for TorchMD-NET
Pytorch Recurrent Ae Siggraph17
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29
Pytorch implementation for 'Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder' , https://research.nvidia.com/publication/interactiv
Cpce 3d
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27
Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
Jstasr Desnownet Eccv 2020
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23
This is the project page of our paper which has been published in ECCV 2020.
Hifigan Denoiser
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22
HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
Hanami Release
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21
Live translator that captures any audio that comes from a WINDOWS speaker or microphone and translates it to the desired language.
Dbmap
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20
A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.
Invdn
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19
Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).
Dehazing Pmhld Patch Map Based Hybrid Learning Dehazenet For Single Image Haze Removal Tip 2020
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19
This is the source code of PMHLD-Patch-Map-Based-Hybrid-Learning-DehazeNet-fo which has been accepted by IEEE Transaction on Image Processing 2020.
Iterativepfn
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18
Official code implementation for the paper "IterativePFN: True Iterative Point Cloud Filtering" (published in CVPR 2023).
Nind Denoise
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16
Image denoising using the Natural Image Noise Dataset
Srcnn Anime
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16
A Super-Resolution Convolutional Neural Network builds for artwork, anime, and illustration. Senior Project - Artwork Enlargement and Quality Improvement using Machine Learning. ICITEE 2021 - Enhancement of Anime Imaging Enlargement Using Modified Super-Resolution CNN.
Denoisers
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15
Simple PyTorch Denoisers for Audio and Spectrograms
Rnnoise_wrapper
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15
A simple Python wrapper for audio noise reduction RNNoise. Simplifies work with it, adds new trained models and detailed instructions for training.
Dictlearn
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14
Dictionary Learning for image processing
Sldl
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14
Single-line inference of SOTA deep learning models
2022 Cvpr Airnet
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14
PyTorch implementation for All-In-One Image Restoration for Unknown Corruption (AirNet) (CVPR 2022)
Se_despeckling
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14
Shared Encoder (SE) based Denoising of Optical Coherence Tomography Images
Pms Net
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14
This is the source code of PMS-Net: Robust Haze Removal Based on Patch Map for Single Images which has been published in CVPR 2019 Long Beach
Rnnoise_python
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12
python wrapper for rnnoise library
Face Recognition Pipeline
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12
Face recognition pipeline based on Facenet and MTCNN including image preprocessing (denoise, dehazing,...) with image augmentation techniques
Fingerprint_denoising
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12
U-Net for fingerprint denoising
Qmm
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12
Python Quadratic Majorization-Minimization (MM) optimization algorithms of half-quadratic criteria. Inverses problems, image restoration, denoising, ...
Fasterdip Devil In Upsampling
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12
[ICCV2023] The Devil is in the upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior
Seisdae
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12
A Python module to train and apply a denoising autoencoder to seismological data
Unsharp Mask Guided Filtering
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11
Code for "Unsharp Mask Guided Filtering, IEEE Transactions on Image Processing, 2021"
Pytorch Deepglr
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10
A pytorch implementation of Deep Graph Laplacian Regularization for image denoising
Divanet
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9
PyTorch implementation of Single image super-resolution based on directional variance attention network (Pattern Recognition2022)
Silentmoire
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9
Moiré pattern denoiser for screen pictures
Fastlapmap
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9
Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's implementation and escalates linearly beyond 10e6 samples.
Careamics
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8
A deep-learning library for N2V and friends
Dvae Pytorch
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8
Denoising Variational Autoencoder
Ndsar
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8
NDSAR speckle filtering for multidimensional and single-channel SAR images
Pt_ir
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8
Image Restoration Toolkit in PyTorch
Mdvrnet
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7
Pytorch implementation of the paper "MdVRNet: Deep Video Restoration under Multiple Distortions" (VISAPP 2022)
Innfer
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6
Simple inference codes for Neural Network (AI) models
Streamcleaner
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6
Intrinsic Bayesian Algorithm for Shortwave Noise Reduction
Torchepll
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5
EPLL implementation using pytorch
Lucyd Deconvolution
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5
A Feature-Driven Richardson-Lucy Deconvolution Network
Reducing Noise On Data
⭐
5
Reduced noise of noisy signals (with a proper desnoising rate) using Least Squares implemented in Python, Matplotlib and Numpy.
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