akgokce / EndoL2H
EndoL2H: Deep Super-Resolution for Capsule Endoscopy
☆13Updated 4 years ago
Alternatives and similar repositories for EndoL2H:
Users that are interested in EndoL2H are comparing it to the libraries listed below
- This repository contains code for the super resolution of medical images using SRGAN and other comparative models, such as SRCNN, SRResNe…☆14Updated 6 years ago
- Miscroscopy Image Restoration using Deep learning on the W2S dataset☆18Updated 3 years ago
- Frequency Domain Perceptual Loss for Super Resolution☆25Updated 3 years ago
- This repository contains the entire pipline (including data preprocessing, training, testing, evaluation and visualization) for the Shear…☆11Updated 5 years ago
- This is the official implementation of state-of-the-art medical image denoising method titled as "Dynamic Residual Attention Network (DRA…☆38Updated last year
- The official implementation of "Rank-One Network: An Effective Framework for Image Restoration" via TensorFlow☆22Updated 4 years ago
- Official implementation of "Deep learning architectural designs for super-resolution of noisy images" by Villar et al. ICASSP 2021☆12Updated last year
- SRCNN_SRGAN_ESRGAN_ON_BRAIN_MRI☆9Updated 3 years ago
- This repository is an official PyTorch implementation of the paper "Image Formation Model Guided Deep Image Super-Resolution" from AAAI 2…☆28Updated 5 years ago
- Layered Input Gradient Network for Image Denoising☆11Updated 3 years ago
- pytorch code of "CFSNet: Toward a Controllable Feature Space for Image Restoration"(ICCV2019)☆62Updated 3 years ago
- The Official code of GAN2GAN (ICLR 2021)☆32Updated 3 years ago
- The source code and dataset of 'Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution' (MICCAI 2020).☆16Updated 2 years ago
- ☆20Updated last year
- Multi-scale deep neural networks for real image super-resolution☆27Updated 4 years ago
- (ECCVW 2020) Joint Denoising and SR in Microscopy Imaging☆50Updated 3 years ago
- High-Quality Self-Supervised Deep Image Denoising - Unofficial PyTorch implementation of the NeurIPS 2019 paper☆67Updated 4 years ago
- A Perceptual Image Sharpness Metric Based on Local Edge Gradient Analysis☆23Updated 10 years ago
- This repository is a PyTorch version of the paper "Multi-scale Dense Cross Network for Image Super-Resolution" (TCSVT 2020).☆26Updated 4 years ago
- % This is an implementation of a boosted BM3D in our WACV 2019 paper: "Good Similar Patches for Image Denoising."☆8Updated 5 years ago
- Official repository of 3DSRnet (ICIP 2019)☆10Updated 2 years ago
- Official Pytorch Code for "Exploring Overcomplete Representations for Single Image Deraining using CNNs" - IEEE Journal of STSP☆15Updated 4 years ago
- This repository is a PyTorch version of the paper "Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution" (ICCVW …☆36Updated 4 years ago
- Official implementation of the NeuralSBS paper☆14Updated 3 years ago
- A deep convolutional neural network (based on the 'U-Net') to enhance the image quality of 4-D Cone Beam CT☆29Updated 6 years ago
- Pytorch-based adaptive deformable convolution☆15Updated 3 years ago
- Tensorflow based Implementation of the CVPR2018 paper: Learning Dual Convolutional Neural Networks for Low-Level Vision☆43Updated 6 years ago
- unofficial pytorch implementation Anime Sketch Coloring with Swish-Gated Residual U-Net☆13Updated last year
- Reference based Image Super-Resolution via Variational AutoEncoder☆28Updated 3 years ago
- 【MICCAI 2021, Early accept】Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network☆48Updated 3 years ago