BrunoVox / ScSRLinks
Python implementation of "Single Image Super-Resolution via Sparse Representation" for educational purposes.
☆40Updated 7 years ago
Alternatives and similar repositories for ScSR
Users that are interested in ScSR are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS …☆98Updated 6 years ago
- Toward Convolutional Blind Denoising of Real Photograph☆184Updated last year
- Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)☆225Updated 5 years ago
- Pytorch implementation for EDSR (CVPR2017)☆63Updated 7 years ago
- PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)☆133Updated 4 years ago
- Pytorch implement: Residual Dense Network for Image Super-Resolution☆142Updated 7 years ago
- Benchmarking Denoising Algorithms with Real Photographs☆101Updated 5 years ago
- Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)☆218Updated 4 years ago
- Real-world Noisy Image Denoising: A New Benchmark☆264Updated 4 years ago
- This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).☆300Updated 5 years ago
- PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"☆342Updated 5 years ago
- Code for the paper "Pyramid Real Image Denoising Network"☆89Updated 5 years ago
- Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"☆133Updated 3 years ago
- Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.☆145Updated 6 years ago
- Progressive Image Deraining Networks: A Better and Simpler Baseline (CVPR 2019)☆264Updated 5 years ago
- A PyTorch Implementation of "Learning a Single Convolutional Super-Resolution Network for Multiple Degradations"☆102Updated 7 years ago
- An unofficial PyTorch implementation of a image denoising network, called FFDNet.☆50Updated 5 years ago
- Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)☆275Updated 5 years ago
- Learning a No-Reference Quality Metric for Single-Image Super-Rolution☆131Updated 4 years ago
- PyTorch implementation of Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network (CV…☆69Updated 5 years ago
- Residual Feature Aggregation Network for Image Super-Resolution☆105Updated 5 years ago
- Pytorch Implementation of CVPR19 "Deep Stacked Multi-patch Hierarchical Network for Image Deblurring"☆199Updated 2 years ago
- Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch☆281Updated 7 years ago
- Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)☆226Updated 4 years ago
- Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.☆144Updated 8 years ago
- Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).☆191Updated 4 years ago
- Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.☆364Updated 4 years ago
- PyTorch Implementation of "Densely Connected Hierarchical Network for Image Denoising", CVPRW, NTIRE2019☆63Updated 6 years ago
- Single Image Deraining: A Comprehensive Benchmark Analysis☆183Updated 4 years ago
- A Deep Journey into Super-resolution: A Survey, ACM Computing Surveys☆70Updated 5 years ago