wwlCape / HANLinks
PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"
☆179Updated 3 years ago
Alternatives and similar repositories for HAN
Users that are interested in HAN are comparing it to the libraries listed below
Sorting:
- Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)☆223Updated 5 years ago
- Residual Feature Aggregation Network for Image Super-Resolution☆105Updated 5 years ago
- Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"☆239Updated 4 years ago
- PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020)…☆406Updated 4 years ago
- PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)☆132Updated 4 years ago
- ☆352Updated 3 years ago
- (ECCV2020 Workshops) Efficient Image Super-Resolution Using Pixel Attention.☆323Updated 7 months ago
- ☆201Updated 5 years ago
- Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"☆133Updated 3 years ago
- [CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution☆412Updated 3 years ago
- Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)☆171Updated 4 years ago
- [Unofficial implementation] Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)☆84Updated 4 years ago
- Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).☆191Updated 4 years ago
- MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution (CVPR2021)☆170Updated 3 years ago
- Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)☆149Updated 4 years ago
- This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution☆232Updated last year
- PyTorch code for our paper "Image Super-Resolution with Non-Local Sparse Attention" (CVPR2021).☆179Updated 3 years ago
- PyTorch code for our paper "Attention in Attention Network for Image Super-Resolution"☆87Updated 4 years ago
- [IJCV] Pyramid Attention Networks for Image Restoration: new SOTA results on multiple image restoration tasks: denoising, demosaicing, co…☆405Updated 5 years ago
- Third party Pytorch implement of Image Processing Transformer (Pre-Trained Image Processing Transformer arXiv:2012.00364v2)☆68Updated 4 years ago
- Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020☆184Updated 4 years ago
- Unpaired Learning of Deep Image Denoising☆144Updated 5 years ago
- A generic framework which implements some famouts super-resolution models☆66Updated 4 years ago
- Residual Feature Distillation Network for Lightweight Image Super-Resolution☆382Updated last year
- [ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution☆317Updated 3 years ago
- Toward Convolutional Blind Denoising of Real Photograph☆185Updated last year
- Pytorch Implementation of CVPR19 "Deep Stacked Multi-patch Hierarchical Network for Image Deblurring"☆198Updated 2 years ago
- Include MuCAN, LAPAR, etc.☆230Updated 3 years ago
- code for paper "Video Super-resolution with Temporal Group Attention"☆127Updated 4 years ago
- Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)☆275Updated 5 years ago