IVIPLab / FDIWN
This repository is an official PyTorch implementation of our paper "Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution". (AAAI 2022)
☆21Updated last year
Alternatives and similar repositories for FDIWN:
Users that are interested in FDIWN are comparing it to the libraries listed below
- Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)☆45Updated 2 years ago
- Self-Calibrated Efficient Transformer for Lightweight Super-Resolution (offical)☆38Updated 2 years ago
- Hierarchical Pixel Integration for Lightweight Image Super-Resolution☆32Updated last year
- ☆18Updated 2 years ago
- Official implementation of Memory-Augmented Non-Local Attention for Video Super-Resolution in CVPR 2022☆42Updated 3 years ago
- Project Page for ICCV21 Paper: Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution☆21Updated 3 years ago
- [NTIRE 2022, EfficientSR] MobileSR: A Mobile-friendly Transformer for Efficient Image Super-Resolution☆72Updated 2 years ago
- Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)☆53Updated 3 years ago
- models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"☆74Updated 2 years ago
- An unofficial code for paper "Learning Frequency-aware Dynamic Network for Efficient Super-Resolution"☆34Updated 3 years ago
- The repository is an official implementation of our CVPRW2021 paper : Learning A Cascaded Non-Local Residual Network for Super-resolving …☆21Updated 3 years ago
- Structure-Preserving Deraining with Residue Channel Prior Guidance (ICCV2021)☆53Updated 3 years ago
- Official repository of KOALAnet (CVPR, 2021)☆38Updated 2 years ago
- A PyTorch implementation of 'LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block'☆29Updated 3 years ago
- Large Kernel Distillation Network for Efficient Single Image Super-Resolution☆35Updated last year
- ☆20Updated 2 years ago
- This repository is an official PyTorch implementation of our paper "Cross-receptive Focused Inference Network for Lightweight Image Super…☆11Updated last year
- Pytorch code for our TIP2022 paper "Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations"☆23Updated 2 years ago
- Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images. ECCV 2022. [ Official ]☆21Updated 2 years ago
- Low-light Raw Video Denoising with a High Quality Realistic Motion Dataset☆16Updated 2 years ago
- OverNet: lightweight multi-scale super-resolution with overscaling network☆23Updated 2 years ago
- Edge-enhanced Feature Distillation Network for Efficient Super-Resolution (CVPRW 2022)☆68Updated last year
- Official implementation of Unfolded Deep Kernel Estimation for Blind Image Super-resolution.☆25Updated 2 years ago
- Official implementation of our IJCV paper☆37Updated last year
- Light parameters raw image denoising, 2nd place in MegCup 2022☆31Updated 3 years ago
- Accepted by TMM 2021☆42Updated 2 years ago
- Dynamic Attentive Graph Learning for Image Restoration, ICCV2021 [PyTorch Code]☆105Updated 3 years ago
- DRT: A Light Weight Deraining Recursive Transformer☆30Updated last year
- [IEEE TNNLS] A Practical Contrastive Learning Framework for Single Image Super-Resolution☆32Updated 11 months ago
- Sliding Window Recurrent Network for Efficient Video Super-Resolution, ECCVW 2022☆15Updated 2 years ago