Image Denoising Networks ML Frameworks

Deep learning models and implementations for removing noise from images using neural architectures (U-Net, DnCNN, FFDNet, Noise2Void, etc.). Does NOT include traditional signal processing filters, general image restoration, or super-resolution techniques.

There are 42 image denoising networks frameworks tracked. 1 score above 50 (established tier). The highest-rated is CAREamics/careamics at 66/100 with 126 stars and 3,252 monthly downloads.

Get all 42 projects as JSON

curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=image-denoising-networks&limit=20"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

# Framework Score Tier
1 CAREamics/careamics

A deep-learning library for denoising images using Noise2Void and friends...

66
Established
2 yu4u/noise2noise

An unofficial and partial Keras implementation of "Noise2Noise: Learning...

44
Emerging
3 rgeirhos/texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained...

40
Emerging
4 NICALab/SUPPORT

Accurate denoising of voltage imaging data through statistically unbiased...

39
Emerging
5 cabooster/DeepCAD-RT

DeepCAD-RT: Real-time denoising of fluorescence time-lapse imaging using...

37
Emerging
6 jaewon-lee-b/lte

Local Texture Estimator for Implicit Representation Function, in CVPR 2022

37
Emerging
7 jiaxi-jiang/FBCNN

Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts...

36
Emerging
8 wenbihan/reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

36
Emerging
9 niuchuangnn/noise2sim

Noise2Sim is a general unsupervised deep denoising method.

33
Emerging
10 tgieruc/Noise2Noise_PyTorch

Unofficial implementation of Noise2Noise (Lehtinen et al., 2018) using PyTorch

31
Emerging
11 ansfl/MEMS-IMU-Denoising

Data-Driven Denoising of Accelerometer Signals

30
Emerging
12 trung-vt/LearningRegularizationParametersForTGV

"Deep unrolling for learning optimal spatially varying regularisation...

30
Emerging
13 ozgurkara99/ISNAS-DIP

ISNAS-DIP: Image Specific Neural Architecture Search for Deep Image Prior [CVPR 2022]

29
Experimental
14 Seattle-Aquarium/underwater-auto-image-encoder

An automated machine learning pipeline that replaces manual image editing...

28
Experimental
15 NikolasMarkou/blind_image_denoising

Implementing CVPR 2020 paper "ROBUST AND INTERPRETABLE BLIND IMAGE DENOISING...

27
Experimental
16 IDKiro/MCT

Multi-Curve Translator for High-Resolution Photorealistic Image Translation

26
Experimental
17 Matin-M/DeepDenoising

Performance and quality evaluation of DCNN based image denoising algorithms

26
Experimental
18 Tombs98/MHNet

A novel network for image reatoration. Mixed Hierarchy Network for Image Restoration.

24
Experimental
19 DeepWave-KAUST/DLDAS_Denoising-pub

Official reproducible material for Noise attenuation in distributed acoustic...

24
Experimental
20 BanmaS/MATLAB-denoise

MathWorks-Excellence-in-Innovation project 193 & SJTU EE397 project

24
Experimental
21 liv-group/reproducible-video-denoising-state-of-the-art

Collection of popular and reproducible video denoising works.

24
Experimental
22 kimbielby/Image-Denoising

Deep learning image denoiser using U-Net. Achieved 33.95 dB PSNR with...

23
Experimental
23 SayantanDutta95/DIVA

Deep Denoising by Quantum Interactive Patches. A deep neural network called...

22
Experimental
24 Omar98165/Noise-Injection-Techniques

🔍 Enhance model robustness with noise injection techniques to tackle messy,...

22
Experimental
25 YasinRezvani/Image_Denoising_Using_FFT_and_DnCNN

Image denoising using both traditional FFT-based filtering and a deep...

20
Experimental
26 Jzy2017/TACL

TIP 2022 | Twin Adversarial Contrastive Learning for Underwater Image...

20
Experimental
27 anonymous-submission01/medical-shape-disentanglement

Self-supervised Disentanglement in Medical Shapes

19
Experimental
28 nhauber99/degradr

Python library for realistically degrading images.

19
Experimental
29 Shakib-IO/Diminishing_Image_Noise_Using_Deep_Learning

Denoising an image is a classical problem that researchers are trying to...

18
Experimental
30 indranil143/Image_Denoiser

Exploring CNN autoencoder techniques for MNIST image denoising, from basic...

16
Experimental
31 lorenzobloise/transmission_tower_electrical_cable_instance_segmentation

This repository contains the code used to train and test a Mask R-CNN model...

16
Experimental
32 mrtineu/fix-erased-numbers

A U-Net Autoencoder built with PyTorch to reconstruct partially erased MNIST...

14
Experimental
33 alr-internship/self-supervised-depth-denoising

Denoising YCB Objects with a self-supervised deep neural network

14
Experimental
34 ksonod/1D_signal_upsampling_and_denoising

Up-sampling and denoising signals using a deep neural network model

14
Experimental
35 lyhkevin/MT-Net

Multi-scale Transformer Network for Cross-Modality MR Image Synthesis (IEEE TMI)

14
Experimental
36 Filippo-Corti/PrincipiEModelliDellaPercezione

Repository for the project "Denoising with N2V" of the class "Principi e...

14
Experimental
37 atefbouzid/Denoising-Dental-X-ray-Images

Academic Project - This project afforded us a valuable opportunity to delve...

12
Experimental
38 MarkoMilenovic01/EdgePreservingImageDenoisingPytorch

PyTorch implementation of an edge-preserving image denoising network trained...

11
Experimental
39 hellloxiaotian/PSLNet

Perceptive self-supervised learning network for noisy image watermark...

11
Experimental
40 hellloxiaotian/SSNet

A self-supervised network for image denoising and watermark removal (Neural...

11
Experimental
41 LeHibouMT/Image-Processing-AI-ML-Project-E3S

Image Processing with AI. Improve image quality and remove image noise.

10
Experimental
42 shangqigao/DeepIDR

An Introduction of "Deep Image Decomposition and Reconstruction"

10
Experimental