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onenet

One Network to Solve Them All

overexposurelscicompensation

Correction of overexposure in laser speckle contrast imaging. The code is part of the manuscript submitted to Optical Publishing Group (OSA) Optics Epress under the Manuscript Submission ID #451611. All rights are reserved.

patterndl

pd-denoising-pytorch

Code of 'when AWGN-based Denoiser Meets Real Noises'

pylsci

Python Package for Laser Speckle Contrast Imaging

pynet

Generating RGB photos from RAW image files with PyNET

pyraw

pytorch-softplus-normalization-uncertainty-estimation-bayesian-cnn

PyTorch code for Paper "Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference"

pyvarinf

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

reinhard_color_transfer

This is an open source implementation of the paper: Erik Reinhard, Michael Ashikhmin, Bruce Gooch and Peter Shirley, 'Color Transfer between Images', IEEE CG&A special issue on Applied Perception, Vol 21, No 5, pp 34-41, September - October 2001

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

se_despeckling

Shared Encoder (SE) based Denoising of Optical Coherence Tomography Images

selfexsr

Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)

skelcon

PyTorch implementation for our paper on TMI2022: Retinal Vessel Segmentation with Skeletal Prior and Contrastive Loss

speckle

Calculate speckle contrast for laser speckle contrast imaging

srgan

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

srntt-pytorch

A PyTorch implementation of SRNTT, which is a novel RefSR method.

swiftuibasics_resources

towards-real-scene-super-resolution-with-raw-images

transunet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

uncertainty-adversarial-paper

Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

uncertainty_estimation_deep_learning

This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in Deep Learning" (Loquercio, Segù, Scaramuzza. RA-L 2020).

usrnet

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

vdnet

Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)

wnnm_cvpr2014

CODE

xiao06_color_transfer

This is an open-source implementation of Xiao's image colour transfer algorithm published in 2006. MATLAB/Octave code is provided.

zero-dce

Pytorch implementation of the paper: Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement.

zero-dce-1

Zero-DCE code and model