AybilgeMurat

AybilgeMurat's Stars

• swz30/MIRNet

  [ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.

  Language:Python672143896

• swz30/CycleISP

  [CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

  Language:Python515152775

• swz30/MIRNetv2

  [TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement

  Language:Python42252157

• acecreamu/deep-hs-prior

  Single Hyperspectral Image Denoising, Inpainting, Super-Resolution

  Language:Jupyter Notebook1293639

• muhk01/Yolov5-on-Flask

  Running YOLOv5 through web browser using Flask microframework

  Language:Python821343

• BIDS/BSDS500

  Mirror of the Berkeley Segmentation Data Set

  Language:C++7617127

• MathieuRita/SAR_denoising

  Denoising framework for SAR images (Synthetic Aperture Radar) based on the FFDNet. Final project of MVA course "Remote sensing data: from sensor to large-scale geospatial data exploitation"

  Language:Jupyter Notebook52228

• nsarang/ImageDenoisingAutoencdoer

  Denoising images with a Deep Convolutional Autoencoder - Implemented in Keras

  Language:Jupyter Notebook353115

• sandeepnmenon/Image-Denoising-with-Convolutional-Denoising-Autoencoders

  Image denoising using convolutional denoising autoencoders

  Language:Jupyter Notebook346713

• ND-HowardGroup/Instant-Image-Denoising

  License & Copyright © 2019 Varun Mannam, University of Notre Dame Licensed under the GPL.

  Language:Jupyter Notebook29658

• sunilbelde/Imagedenoising-dncnn-ridnet-keras

  Removing noise from images using deep learning models.Used some state-of-the-art denoising model’s architecture from research papers like DnCNN and RIDNET. Created Quantized models of the above models and Performed detailed analysis of the models.

  Language:Jupyter Notebook20445

• rajatguptakgp/image_enhancement_techniques

  PyTorch implementation for Image Denoising and Image Dehazing

  Language:Jupyter Notebook18354

• sharathsolomon/ImageDenoising

  Language:Jupyter Notebook13217

• ekremcet/AEFPNC

  Image Denoising Using Deep Convolutional Autoencoder with Feature Pyramids

  Language:Python11206

• TouHouPolice/yolov5-opencv-detect-track

  A yolov5 based application, it uses the prediction results by yolov5 to activate the selected opencv built-in tracking algorithm.

  Language:Python10101

• lynx1902/ImageDenoisingAE

  Image Denoising Autoencoder implemented in Pytorch for IvLabs Summer Intern 2021

  Language:Jupyter Notebook8100

• sanchitvj/Image-Dehazing-using-GMAN-net

  Single image dehazing using the GMAN network and its implementation in Tensorflow(version 2+).

  Language:Jupyter Notebook6129

• Gowtham-369/IndianCurrencyNotesDetection

  A web application made using YOLOv5 for Indian Currency Notes detection

  Language:Python5001

• daencel/FaceScan

  FaceScan is a Python application which can detect Face Masks in webcams, images, video files and online streams

  Language:Jupyter Notebook4123

• siffyy/YOLOv5-Web-App-for-Vehicle-Detection

  Repo for Web Application for Vehicle detection from Satellite Imagery using YOLOv5 model

  Language:Python4100

• Varfalamei/obj-det-flask

  Web-demo application for object detection.

  Language:HTML4101

• Anand4405/Image_Denoising_Autoencoder

  Image Denoising Autoencoder on MNIST/FashionMNIST using Pytorch and CNN

  Language:Jupyter Notebook310

• atmanpatel294/image-denoising-pytorch

  Language:Jupyter Notebook3100

• Dizoner16/Image_denoising_autoencoder

  This is a Tensorflow implementation of a basic autoencoder described in the following paper: https://arxiv.org/abs/2003.05991

  Language:Jupyter Notebook3100

• harshit0511/Unsupervised-Image-denoising

  Language:Jupyter Notebook3304

• iamVarunAnand/Residual-Image-Denoising

  Image Denoising using Residual Learning of Deep CNNs

  Language:Jupyter Notebook3301

• plazinho/cats_denoising_autoencoder

  Convolutional autoencoder for image denoising with a PyTorch

  Language:Jupyter Notebook3100

• SahinTiryaki/YoloV5_Detection

  Simple YoloV5 application

  Language:Jupyter Notebook3100

• Felixy1/Web_Application_YOLOv5_Visual_Defect_Detection

  Web_Application_YOLOv5_Visual_Defect_Detection

  2100

• Arcane-01/ImageDenoisingAutoencoder

  Implementation of denoising autoencoder to denoise corrupted images

  Language:Jupyter Notebook1100