lizhuangzi / IGAN
Code of ACM MM 2021 paper: Information-Growth Attention Network for Image Super-Resolution
☆21Updated 3 years ago
Alternatives and similar repositories for IGAN:
Users that are interested in IGAN are comparing it to the libraries listed below
- Unofficial pytorch implementation of the paper "Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective"☆26Updated 3 years ago
- models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"☆74Updated 2 years ago
- Demo package for colab tutorial☆53Updated 4 years ago
- (CVPR2022) Reflash Dropout in Image Super-Resolution☆80Updated 8 months ago
- An unofficial code for paper "Learning Frequency-aware Dynamic Network for Efficient Super-Resolution"☆34Updated 3 years ago
- Official implementation of the paper 'Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution' in ECCV 2022☆142Updated 2 years ago
- Method and experience of winning the NTIRE'22 VQE challenge.☆81Updated 2 years ago
- Hierarchical Pixel Integration for Lightweight Image Super-Resolution☆33Updated 10 months ago
- Residual Local Feature Network for Efficient Image Super-Resolution☆13Updated 2 years ago
- Edge-enhanced Feature Distillation Network for Efficient Super-Resolution (CVPRW 2022)☆67Updated 11 months ago
- PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"☆57Updated 3 years ago
- Reparameterized Residual Feature Network For Lightweight Image Super-Resolution☆47Updated last year
- Unofficial PyTorch code for BasicVSR☆67Updated 3 years ago
- Large Kernel Distillation Network for Efficient Single Image Super-Resolution☆35Updated last year
- This repository is an official PyTorch implementation of our paper "Feature Distillation Interaction Weighting Network for Lightweight Im…☆21Updated last year
- This project is for DLSN introduced in the following paper "Global Learnable Attention for Single Image Super-Resolution".☆53Updated last year
- Local AtrrLocal Attribution Maps (LAM)☆14Updated 2 years ago
- [IEEE TNNLS] A Practical Contrastive Learning Framework for Single Image Super-Resolution☆31Updated 10 months ago
- This project is official implementation of 'Efficient Non-Local Contrastive Attention for Image Super-Resolution', AAAI2022☆87Updated last year
- A PyTorch implementation of 'LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block'☆29Updated 2 years ago
- [NTIRE 2022, EfficientSR] MobileSR: A Mobile-friendly Transformer for Efficient Image Super-Resolution☆73Updated 2 years ago
- Residual Feature Aggregation Network for Image Super-Resolution☆104Updated 4 years ago
- The code for paper Remote Sensing Image Super-Resolution via Mixed High-Order Attention Network☆18Updated 4 years ago
- ☆38Updated 3 years ago
- This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https:…☆166Updated 3 years ago
- Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)☆96Updated 2 years ago
- Blind JPEG Artifacts Removal via Enhanced Swin-Conv-UNet☆9Updated last year
- PyTorch implementation of Single image super-resolution based on directional variance attention network (Pattern Recognition2022)☆19Updated 11 months ago
- Code for paper "Propagating Facial Prior Knowledge for Multi-Task Learning in Face Super-Resolution"☆16Updated last year
- ☆18Updated 2 years ago