SHI-Labs / Pyramid-Attention-Networks
[IJCV] Pyramid Attention Networks for Image Restoration: new SOTA results on multiple image restoration tasks: denoising, demosaicing, compression artifact reduction, super-resolution
☆402Updated 4 years ago
Alternatives and similar repositories for Pyramid-Attention-Networks:
Users that are interested in Pyramid-Attention-Networks are comparing it to the libraries listed below
- PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020)…☆403Updated 4 years ago
- Residual Feature Distillation Network for Lightweight Image Super-Resolution☆370Updated last year
- ☆349Updated 3 years ago
- (ECCV2020 Workshops) Efficient Image Super-Resolution Using Pixel Attention.☆321Updated 3 weeks ago
- Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)☆219Updated 5 years ago
- Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021)☆447Updated 3 years ago
- Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"☆236Updated 3 years ago
- Toward Convolutional Blind Denoising of Real Photograph☆179Updated last year
- PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"☆177Updated 3 years ago
- Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, Winner Award of ICCVW AIM 2019 Constrained S…☆436Updated last year
- [NeurIPS 2020] Cross-Scale Internal Graph Neural Network for Image Super-Resolution☆313Updated 4 years ago
- [CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference☆239Updated 3 years ago
- PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"☆343Updated 5 years ago
- PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)☆130Updated 3 years ago
- Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation (ECCV 2020) (Pytorch)☆182Updated 4 years ago
- Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020☆184Updated 4 years ago
- Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.☆349Updated 3 years ago
- Pytorch Implementation of CVPR19 "Deep Stacked Multi-patch Hierarchical Network for Image Deblurring"☆194Updated 2 years ago
- Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)☆215Updated 3 years ago
- Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution☆441Updated last year
- Workshop and Challenge on Perceptual Image Restoration and Manipulation☆248Updated 4 years ago
- [ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution☆308Updated 2 years ago
- This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution☆233Updated last year
- Residual Feature Aggregation Network for Image Super-Resolution☆104Updated 4 years ago
- Second-order Attention Network for Single Image Super-resolution (CVPR-2019)☆567Updated 5 years ago
- ☆380Updated 3 years ago
- ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation☆271Updated 5 years ago
- (CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic☆367Updated 3 weeks ago
- [CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution☆405Updated 2 years ago
- [Unofficial implementation] Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)☆83Updated 3 years ago