hifigan-denoiserHiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
traiNNertraiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.
SwinIRSwinIR: Image Restoration Using Swin Transformer (official repository)
Voice-Denoising-ANA 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.
dbMAPA 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.
MIRNet-KerasKeras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement - CVPR 2020
SAR2SARSAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory
speckle2voidSpeckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
CPCE-3DLow-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
dictlearnDictionary Learning for image processing
noise-synthesisRethinking Noise Synthesis and Modeling in Raw Denoising (ICCV2021)
BM3D pypure Python implement of BM3D
MITK-DiffusionMITK Diffusion - Official part of the Medical Imaging Interaction Toolkit
HSI-SDeCNNSource code of "A Single Model CNN for Hyperspectral Image Denoising"
CResMD(ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration
rankpruning🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
aydinAydin — User-friendly, Fast, Self-Supervised Image Denoising for All.
napari-hubDiscover, install, and share napari plugins