NJU-Jet / SR_FrameworkLinks
A generic framework which implements some famouts super-resolution models
☆66Updated 4 years ago
Alternatives and similar repositories for SR_Framework
Users that are interested in SR_Framework are comparing it to the libraries listed below
Sorting:
- Residual Feature Aggregation Network for Image Super-Resolution☆104Updated 4 years ago
- ☆197Updated 4 years ago
- Towards Compact Single Image Super-Resolution via Contrastive Self-distillation, IJCAI21☆76Updated 3 years ago
- [Unofficial implementation] Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)☆83Updated 4 years ago
- ICIP 2020, FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution☆155Updated 3 years ago
- Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)☆220Updated 5 years ago
- Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)☆147Updated 3 years ago
- [ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This co…☆166Updated 5 years ago
- ☆46Updated 4 years ago
- Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"☆133Updated 3 years ago
- Official Implementation for Kernel Modeling Super-Resolution on Real Low-Resolution Images☆93Updated 5 years ago
- Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).☆190Updated 4 years ago
- PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"☆178Updated 3 years ago
- Solution of the NTIRE 2022 Challenge on Efficient Super-Resolution☆123Updated 3 years ago
- This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https:…☆169Updated 3 years ago
- Revisiting RCAN: Improved Training for Image Super-Resolution☆94Updated 3 years ago
- Third party Pytorch implement of Image Processing Transformer (Pre-Trained Image Processing Transformer arXiv:2012.00364v2)☆68Updated 4 years ago
- ☆76Updated 4 years ago
- Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"☆239Updated 3 years ago
- Implementation of "Unsupervised Domain-Specific Deblurring via Disentangled Representations"☆113Updated 6 years ago
- This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution☆233Updated last year
- Different SSIM metrics in CNN-based super resolution algorithms (e.g., EDSR CVPRW2017, RDN CVPR2018, MSRN ECCV2018).☆40Updated 2 years ago
- This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"☆101Updated 5 years ago
- Unpaired Learning of Deep Image Denoising☆139Updated 4 years ago
- Code for paper "Video Super-Resolution with Recurrent Structure-Detail Network" . The code is under preparation and is coming soon.☆90Updated 4 years ago
- [CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference☆239Updated 3 years ago
- Residual Feature Distillation Network for Lightweight Image Super-Resolution☆377Updated last year
- Training Code for MWCNN in PyTorch environment☆64Updated 6 years ago
- Deep Adaptive Inference Networks for Single Image Super-Resolution☆98Updated 4 years ago
- Unofficial PyTorch code for BasicVSR☆68Updated 4 years ago