#Denoising
Showing 32 of 32 repositories tagged #denoising, ranked by stars
SwinIR: Image Restoration Using Swin Transformer (official repository)
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
DIPY is the paragon 3D/4D+ medical 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.
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
[ICLR 2025] Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
[ECCV] 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
AI Image Signal Processing and Computational Photography. Official library for NTIRE (CVPR) and AIM (ICCV/ECCV) Challenges. You will find Learned ISPs, RAW Restoration-Upsampling-Reconstruction, Image Enhancement, Bokeh rendering and more!
CVPR 2025 DarkIR: Robust Low-Light Image Restoration - State of the art low light deblurring. NTIRE 2025 Best Method. [Official PyTorch Implementation]
Awesome Resources for Advanced Computer Vision Topics
Open source Python library for building bioimage analysis pipelines
Aydin — User-friendly, Fast, Self-Supervised Image Denoising for All.
Deep-learning library for image restoration.
Accurate denoising of voltage imaging data through statistically unbiased prediction, Nature Methods.
Official Implementation of NAF: Zero-Shot Feature Upsampling via Neighborhood Attention Filtering
Official implementation of pre-training via denoising for TorchMD-NET
(ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration
Unsupervised Deep Video Denoising, ICCV 2021
Callytics is an advanced call analytics solution that leverages speech recognition and large language models (LLMs) technologies to analyze phone conversations from customer service and call centers.
DVDnet: A Simple and Fast Network for Deep Video Denoising
🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
Processing and visualization tools for quantitative MRI data
Moiré pattern denoiser for screen pictures
ShabbyPages is a state-of-the-art corpus of born-digital document images with both ground truth and distorted versions appropriate for use in training models to reverse distortions and recover to original denoised documents.
Deprecated in favour of TopoMetry: https://github.com/davisidarta/topometry
A Library for Denoising Single-Cell Data with Random Matrix Theory
Simple inference codes for Neural Network (AI) models
Lectures on Bayesian statistics and information theory
A very fast and lightweight model based on graph convolutional network (GCN) for Low Light Image Enhancement (LLIE)
Promethium is a state-of-the-art, AI-driven framework for seismic signal reconstruction, denoising, and geophysical data enhancement, integrating cutting-edge deep learning architectures with production-grade data engineering.