luost26/DMRDenoise 📦

:snowman: Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)

Language: Python - Size: 5.95 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 124 - Forks: 17

Ding-Liu/DeepDenoising

Language: C++ - Size: 11 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 94 - Forks: 31

hellloxiaotian/Deep-Learning-on-Image-Denoising-An-overview

Deep Learning on Image Denoising: An overview (Neural Networks, 2020)

Size: 1.75 MB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 86 - Forks: 7

sharif-apu/MID-DRAN

This is the official implementation of state-of-the-art medical image denoising method titled as "Dynamic Residual Attention Network (DRAN)".

Language: Python - Size: 18.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 22 - Forks: 4

HilaManor/GaussianDenoisingPosterior

We derive a fundamental property of the posterior distribution in Gaussian denoising, and use it to propose a new way for uncertainty visualization, which requires no training or fine-tuning.

Language: Jupyter Notebook - Size: 142 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 1

jabascal/ResPr-UNet-3D-Denoising-Efficient-Pipeline-TF-keras

3D image denoising using a modified U-Net architecture that exploits a prior image. Models are trained using efficient tensorflow pipeline based on keras and tf.data.Dataset API

Language: Jupyter Notebook - Size: 34.4 MB - Last synced at: 5 months ago - Pushed at: almost 2 years ago - Stars: 13 - Forks: 5

samuelebortolotti/neural-prnu-extractor

This repository provides a PyTorch implementation of FFDNet image denoising https://arxiv.org/abs/1710.04026. First implemented by Matias Tassano https://doi.org/10.5201/ipol.2019.231, the FFDNet source code has been adapted so as to extract cameras PRNU.

Language: Python - Size: 10.5 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2

NikolasMarkou/blind_image_denoising

Implementing CVPR 2020 paper "ROBUST AND INTERPRETABLE BLIND IMAGE DENOISING VIA BIAS - FREE CONVOLUTIONAL NEURAL NETWORKS"

Language: Jupyter Notebook - Size: 138 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 6 - Forks: 1

Pythonista7/DnCNN-tf2

Using CNN to de noise images.

Language: Python - Size: 173 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 1

bilalkabas/QPSK-with-CAE-Compressor-and-CNN-Denoiser

This repository contains implementation of a QPSK-based telecommunication system optimized using deep learning based image compression and denoising in LabVIEW Communications environment using Python and Keras.

Language: Jupyter Notebook - Size: 5.23 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 2

jyicu/DPDN

Dual Path Denoising Network for Real Photographic Noise

Language: Python - Size: 4.49 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

fork123aniket/Denoising-Diffusion-Probabilistic-Model-from-Scratch

Implementation of Denoising Diffusion Probabilistic Model from Scratch for Image Generation Task in PyTorch

Language: Python - Size: 617 KB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

Rathore25/Denoising-By-ResNet

Use a ResNet to denoise the noisy images

Language: Jupyter Notebook - Size: 237 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

biswajitcsecu/deep_convolutional_autoencoder_image_denoising_model

deep convolutional autoencoder for image denoising

Language: Jupyter Notebook - Size: 321 KB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

AnodeGrindYo/DiffusionModels

Une série de notebooks qui expliquent en détail comment fonctionnent les modèles de diffusion

Language: Jupyter Notebook - Size: 921 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

AdityaTheDev/ImageDenoising-Using-Autoencoders

I built a Denoising Autoencoder to remove noise from the image. Image Denoising is the process of removing noise from the Images The noise present in the images may be caused by various intrinsic or extrinsic conditions which are practically hard to deal with. The problem of Image Denoising is a very fundamental challenge in the domain of Image processing and Computer vision. Therefore, it plays an important role in a wide variety of domains where getting the original image is really important for robust performance.

Language: Jupyter Notebook - Size: 1.27 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0