ZhouYiiFeng / CDSR
Joint Learning Content and Degradation Aware Embedding for Blind Super-Resolution
☆14Updated 2 years ago
Alternatives and similar repositories for CDSR:
Users that are interested in CDSR are comparing it to the libraries listed below
- Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)☆45Updated 2 years ago
- [NTIRE 2022, EfficientSR] MobileSR: A Mobile-friendly Transformer for Efficient Image Super-Resolution☆73Updated 2 years ago
- Demo package for colab tutorial☆54Updated 4 years ago
- Official implementation of Memory-Augmented Non-Local Attention for Video Super-Resolution in CVPR 2022☆42Updated 2 years ago
- [CVPR 2025] Efficient Visual State Space Model for Image Deblurring☆33Updated 2 weeks ago
- ☆20Updated 2 years ago
- [ICCV 2023] Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution☆20Updated 11 months ago
- Implementation of 'KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution' (ECCV2022 Oral)☆24Updated last year
- PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"☆57Updated 3 years ago
- Unofficial pytorch implementation of the paper "Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective"☆26Updated 3 years ago
- This project is for DLSN introduced in the following paper "Global Learnable Attention for Single Image Super-Resolution".☆53Updated last year
- ☆60Updated last year
- This project is the official implementation of 'Meta-Learning based Degradation Representation for Blind Super-Resolution', TIP2023☆27Updated last year
- [IEEE TNNLS] A Practical Contrastive Learning Framework for Single Image Super-Resolution☆31Updated 11 months ago
- PyTorch implementation of Single image super-resolution based on directional variance attention network (Pattern Recognition2022)☆19Updated last year
- ☆22Updated 2 years ago
- Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)☆96Updated 2 years ago
- Hierarchical Pixel Integration for Lightweight Image Super-Resolution☆33Updated 11 months ago
- ☆18Updated 2 years ago
- PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).☆56Updated last year
- models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"☆74Updated 2 years ago
- ☆48Updated 4 months ago
- Low-light Raw Video Denoising with a High Quality Realistic Motion Dataset☆16Updated 2 years ago
- ☆23Updated 4 years ago
- Pytorch code for our TIP2022 paper "Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations"☆23Updated 2 years ago
- [CVPR 2024] Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring☆26Updated last year
- This repository is an official PyTorch implementation of our paper "Feature Distillation Interaction Weighting Network for Lightweight Im…☆21Updated last year
- The repository is an official implementation of our CVPRW2021 paper : Learning A Cascaded Non-Local Residual Network for Super-resolving …☆21Updated 3 years ago
- Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement (ICCV2021)☆52Updated 4 months ago
- Unpaired Deep Image Deraining Using Dual Contrastive Learning (CVPR 2022)☆54Updated last year